{
 "schema": {
  "key": "capability id",
  "fields": [
   "en",
   "zh",
   "level"
  ]
 },
 "count": 37691,
 "capabilities": {
  "CAP_378afafd": {
   "en": "State Criticality Abstraction Design",
   "zh": "状态关键度抽象设计",
   "level": "l2"
  },
  "CAP_79da21f8": {
   "en": "Literal Criticality Assignment",
   "zh": "文字关键度赋值",
   "level": "l3"
  },
  "CAP_880a3632": {
   "en": "Constraint Dependency Graph Construction",
   "zh": "约束依赖图构造",
   "level": "l3"
  },
  "CAP_ac7b1b82": {
   "en": "Abstract State Space Layering",
   "zh": "抽象状态空间分层",
   "level": "l3"
  },
  "CAP_129d0d5f": {
   "en": "Relaxed Planning Heuristic Computation",
   "zh": "放松规划启发式计算",
   "level": "l3"
  },
  "CAP_8c134f6e": {
   "en": "Ordered Monotonicity Property Verification",
   "zh": "有序单调性验证",
   "level": "l3"
  },
  "CAP_b806fad0": {
   "en": "Temporal Action Abstraction Design",
   "zh": "时间动作抽象设计",
   "level": "l2"
  },
  "CAP_560fb396": {
   "en": "Option Triplet Specification",
   "zh": "option 三元组规约",
   "level": "l3"
  },
  "CAP_7d00697c": {
   "en": "MAXQ Task Graph Decomposition",
   "zh": "MAXQ 任务图分解",
   "level": "l3"
  },
  "CAP_a99aa9ee": {
   "en": "Manager Goal Embedding Design",
   "zh": "Manager 目标嵌入设计",
   "level": "l3"
  },
  "CAP_6cf4964e": {
   "en": "SMDP Value Function Learning",
   "zh": "SMDP 价值函数学习",
   "level": "l3"
  },
  "CAP_15af8a4c": {
   "en": "HIRO Off-policy Correction",
   "zh": "HIRO 非同分布修正",
   "level": "l3"
  },
  "CAP_1f884e24": {
   "en": "Worker Primitive Action Execution",
   "zh": "Worker 原始动作执行",
   "level": "l3"
  },
  "CAP_6f8d27ae": {
   "en": "Language-Driven Skill Abstraction Design",
   "zh": "语言驱动技能抽象设计",
   "level": "l2"
  },
  "CAP_ffb0cb7c": {
   "en": "Skill Library API Specification",
   "zh": "Skill 库 API 规约",
   "level": "l3"
  },
  "CAP_5462fc94": {
   "en": "Programmatic Prompt Schema Design",
   "zh": "程序化 Prompt 架构设计",
   "level": "l3"
  },
  "CAP_b9ca398d": {
   "en": "Affordance Value Function Specification",
   "zh": "Affordance 价值函数规约",
   "level": "l3"
  },
  "CAP_056e94ce": {
   "en": "LLM Semantic Task Decomposition",
   "zh": "LLM 语义任务分解",
   "level": "l3"
  },
  "CAP_57d84c82": {
   "en": "System2/System1 VLM-VLA Hierarchy Design",
   "zh": "System2/System1 VLM-VLA 分层架构",
   "level": "l3"
  },
  "CAP_613268ed": {
   "en": "Hierarchical Instruction Decomposition",
   "zh": "分层指令分解",
   "level": "l3"
  },
  "CAP_63d87342": {
   "en": "VLA Action Chunk Execution",
   "zh": "VLA 动作块执行",
   "level": "l3"
  },
  "CAP_c241e043": {
   "en": "Closed-loop Language Feedback Replanning",
   "zh": "闭环语言反馈重规划",
   "level": "l3"
  },
  "CAP_198eae10": {
   "en": "Abstract Interpretation Static Analysis",
   "zh": "抽象解释静态分析",
   "level": "l1"
  },
  "CAP_5935b500": {
   "en": "Interval Domain Static Analysis",
   "zh": "区间域静态分析",
   "level": "l2"
  },
  "CAP_84a7e375": {
   "en": "Relational Domain Static Analysis",
   "zh": "关系域静态分析",
   "level": "l2"
  },
  "CAP_d06a747d": {
   "en": "Symbolic Heap Static Analysis",
   "zh": "符号堆静态分析",
   "level": "l2"
  },
  "CAP_52e802ed": {
   "en": "Static Value Analysis",
   "zh": "静态值域分析",
   "level": "l3"
  },
  "CAP_e14bbd39": {
   "en": "Interval Domain Transfer Functions",
   "zh": "区间域迁移函数",
   "level": "l3"
  },
  "CAP_1305b683": {
   "en": "Fixpoint Widening and Narrowing",
   "zh": "不动点 Widening 与 Narrowing",
   "level": "l3"
  },
  "CAP_98430eb0": {
   "en": "Numerical Runtime Error Verification",
   "zh": "数值运行时错误验证",
   "level": "l3"
  },
  "CAP_b740ecbe": {
   "en": "Polyhedron Abstract Domain Analysis",
   "zh": "多面体抽象域分析",
   "level": "l3"
  },
  "CAP_a3a6b8e9": {
   "en": "Octagon Abstract Domain Analysis",
   "zh": "八边形抽象域分析",
   "level": "l3"
  },
  "CAP_c0eafd4a": {
   "en": "Floating-Point Sound Static Analysis",
   "zh": "浮点 sound 静态分析",
   "level": "l3"
  },
  "CAP_a2b994ce": {
   "en": "Separation Logic Reasoning",
   "zh": "分离逻辑推理",
   "level": "l3"
  },
  "CAP_702c2d48": {
   "en": "Bi-Abduction Compositional Analysis",
   "zh": "Bi-Abduction 组合式分析",
   "level": "l3"
  },
  "CAP_9083ed35": {
   "en": "Memory Safety Verification",
   "zh": "内存安全验证",
   "level": "l3"
  },
  "CAP_ea86953f": {
   "en": "A/B Slot Update Orchestration",
   "zh": "A/B 槽位更新编排",
   "level": "l2"
  },
  "CAP_2142e525": {
   "en": "Inactive Slot Streaming Install",
   "zh": "非活动槽流式安装",
   "level": "l3"
  },
  "CAP_46d84c1f": {
   "en": "Post-Install Hook Execution",
   "zh": "Post-Install 钩子执行",
   "level": "l3"
  },
  "CAP_1ec60c99": {
   "en": "Boot Slot State Machine Update",
   "zh": "启动槽状态机更新",
   "level": "l3"
  },
  "CAP_cee62fc2": {
   "en": "Boot Success Verification and Marking",
   "zh": "启动成功校验与标记",
   "level": "l3"
  },
  "CAP_1ead35cd": {
   "en": "Bootloader-Native A/B Slot Update",
   "zh": "Bootloader 原生 A/B 槽位更新",
   "level": "l2"
  },
  "CAP_f2de1d0f": {
   "en": "Inactive Rootfs Bundle Install",
   "zh": "非活动 rootfs 包安装",
   "level": "l3"
  },
  "CAP_2bef2dae": {
   "en": "Bootloader Native Fallback Boot",
   "zh": "Bootloader 原生 fallback 启动",
   "level": "l3"
  },
  "CAP_5d1c22a8": {
   "en": "Userspace Boot Success Marking",
   "zh": "用户态启动成功标记",
   "level": "l3"
  },
  "CAP_ee0cf656": {
   "en": "MCU Dual-Slot A/B Firmware Update",
   "zh": "MCU 双槽 A/B 固件更新",
   "level": "l2"
  },
  "CAP_f285afe2": {
   "en": "Secondary Slot Image Write",
   "zh": "Secondary 槽镜像写入",
   "level": "l3"
  },
  "CAP_9a12fe66": {
   "en": "Slot State Trailer/Otadata Update",
   "zh": "槽位状态 trailer/otadata 更新",
   "level": "l3"
  },
  "CAP_e783c104": {
   "en": "Bootloader Image Verification and Slot Select",
   "zh": "Bootloader 镜像验签与槽位选择",
   "level": "l3"
  },
  "CAP_b8cfae1a": {
   "en": "App Boot Confirmation",
   "zh": "应用启动确认",
   "level": "l3"
  },
  "CAP_52719254": {
   "en": "Acceleration Impact Detection",
   "zh": "加速度冲击检测",
   "level": "l2"
  },
  "CAP_0bc30151": {
   "en": "High-g Accelerometer Sensor Initialization",
   "zh": "高 g 加速度计传感器初始化",
   "level": "l3"
  },
  "CAP_8cff1cd5": {
   "en": "On-chip Shock Threshold and Duration Configuration",
   "zh": "片上冲击阈值与持续时长配置",
   "level": "l3"
  },
  "CAP_88c884c7": {
   "en": "Single and Double Shock Interrupt Configuration",
   "zh": "单次与双次冲击中断配置",
   "level": "l3"
  },
  "CAP_a5d00e9b": {
   "en": "FIFO Triggered-mode Waveform Capture Configuration",
   "zh": "FIFO 触发模式波形抓取配置",
   "level": "l3"
  },
  "CAP_d69c0f33": {
   "en": "Autonomous On-chip Shock Monitoring and Interrupt Triggering",
   "zh": "片上自主冲击监测与中断触发",
   "level": "l3"
  },
  "CAP_e86dc7e6": {
   "en": "Host Interrupt Service and Shock Waveform Readout",
   "zh": "Host 中断服务与冲击波形读取",
   "level": "l3"
  },
  "CAP_d15c6b52": {
   "en": "Wearable IMU Device Configuration and Data Acquisition",
   "zh": "可穿戴 IMU 设备配置与数据采集",
   "level": "l3"
  },
  "CAP_c8b21431": {
   "en": "Signal Vector Magnitude and Sliding Average Computation",
   "zh": "信号向量幅值与滑动平均计算",
   "level": "l3"
  },
  "CAP_81dcc48a": {
   "en": "Time and Frequency Domain Feature Extraction",
   "zh": "时频域特征提取",
   "level": "l3"
  },
  "CAP_6b59d4ab": {
   "en": "Fall vs ADL Binary Classification",
   "zh": "跌倒与 ADL 二分类",
   "level": "l3"
  },
  "CAP_03eaad49": {
   "en": "Fall Alarm Trigger and Event Logging",
   "zh": "跌倒告警触发与事件日志",
   "level": "l3"
  },
  "CAP_0e4b5447": {
   "en": "Multi-modal Sensor Synchronous Sampling",
   "zh": "多模态传感器同步采样",
   "level": "l3"
  },
  "CAP_a511775d": {
   "en": "Per-modality Feature Extraction",
   "zh": "各模态独立特征提取",
   "level": "l3"
  },
  "CAP_39cce1ba": {
   "en": "Multi-modal Fusion ML Crash Detection",
   "zh": "多模态融合 ML 车祸检测",
   "level": "l3"
  },
  "CAP_0f067c0b": {
   "en": "Context-based False Positive Verification",
   "zh": "基于上下文的误报二次校验",
   "level": "l3"
  },
  "CAP_19d17472": {
   "en": "Countdown Alarm and Emergency SOS Trigger",
   "zh": "倒计时告警与紧急 SOS 触发",
   "level": "l3"
  },
  "CAP_8c803617": {
   "en": "Fallback Execution Capability",
   "zh": "保底执行能力",
   "level": "l3"
  },
  "CAP_1e20b550": {
   "en": "Access Audit Logging",
   "zh": "访问审计日志记录",
   "level": "l2"
  },
  "CAP_c06330d9": {
   "en": "Host Kernel Audit Logging",
   "zh": "主机内核审计日志记录",
   "level": "l2"
  },
  "CAP_17c176b2": {
   "en": "Syscall Audit Event Capture",
   "zh": "系统调用审计事件捕获",
   "level": "l3"
  },
  "CAP_d3c598d5": {
   "en": "Audit Rule Configuration",
   "zh": "审计规则配置",
   "level": "l3"
  },
  "CAP_b02946a6": {
   "en": "Audit Log Persistence",
   "zh": "审计日志持久化",
   "level": "l3"
  },
  "CAP_85e3b83b": {
   "en": "Audit Log Collection & Normalization",
   "zh": "审计日志采集与归一化",
   "level": "l3"
  },
  "CAP_e0dce0d7": {
   "en": "Siem Audit Aggregation",
   "zh": "SIEM 审计汇聚",
   "level": "l3"
  },
  "CAP_aa613edd": {
   "en": "Audit Compliance Query",
   "zh": "审计合规查询",
   "level": "l3"
  },
  "CAP_4bd6c4a3": {
   "en": "Audit Log Search and Report",
   "zh": "审计日志检索与报表",
   "level": "l3"
  },
  "CAP_87ef2b3a": {
   "en": "Auditd Privilege Escalation Monitoring",
   "zh": "Auditd 提权行为监测",
   "level": "l3"
  },
  "CAP_5e050566": {
   "en": "Application-Layer Structured Audit Logging",
   "zh": "应用层结构化审计日志",
   "level": "l2"
  },
  "CAP_af5aca47": {
   "en": "API Audit Middleware Interception",
   "zh": "API 审计中间件拦截",
   "level": "l3"
  },
  "CAP_03dd8269": {
   "en": "CADF Audit Event Construction",
   "zh": "CADF 审计事件构造",
   "level": "l3"
  },
  "CAP_5e955a05": {
   "en": "Audit Event Transport",
   "zh": "审计事件传输",
   "level": "l3"
  },
  "CAP_dec4180e": {
   "en": "CADF Event Persistence & Compliance Query",
   "zh": "CADF 事件持久化与合规性查询",
   "level": "l3"
  },
  "CAP_c2cd7977": {
   "en": "ROS2 Ackermann Steering Control Pipeline",
   "zh": "ROS2 阿克曼转向控制流水线",
   "level": "l2"
  },
  "CAP_f828b4a0": {
   "en": "Autopilot Ackermann Steering Control Pipeline",
   "zh": "自驾仪阿克曼转向控制流水线",
   "level": "l2"
  },
  "CAP_388e2c62": {
   "en": "Dynamic NMPC Ackermann Steering Control Pipeline",
   "zh": "动力学 NMPC 阿克曼转向控制流水线",
   "level": "l2"
  },
  "CAP_da57e6e3": {
   "en": "Steering Configuration Resolution",
   "zh": "转向配置解析",
   "level": "l3"
  },
  "CAP_8ed7109c": {
   "en": "Traction and Steering State Acquisition",
   "zh": "牵引与转向状态采集",
   "level": "l3"
  },
  "CAP_bed60e71": {
   "en": "Steering Kinematics Resolution",
   "zh": "转向运动学正解",
   "level": "l3"
  },
  "CAP_07be9e1a": {
   "en": "Odometry Message and TF Publishing",
   "zh": "里程计消息与 TF 发布",
   "level": "l3"
  },
  "CAP_e5d09502": {
   "en": "Wheel Encoder Tick Acquisition",
   "zh": "轮编码器脉冲采集",
   "level": "l3"
  },
  "CAP_ddc81dcc": {
   "en": "Steering Inverse Kinematics Resolution",
   "zh": "转向逆运动学解算",
   "level": "l3"
  },
  "CAP_5625ff24": {
   "en": "Twist Reference Acquisition and Chaining",
   "zh": "Twist 参考订阅与链式接口",
   "level": "l3"
  },
  "CAP_cd3d8276": {
   "en": "Steering Command Write and Velocity Reduction",
   "zh": "转向命令写入与降速保护",
   "level": "l3"
  },
  "CAP_7d82aa05": {
   "en": "Odometry Reset Service Handling",
   "zh": "里程计重置服务处理",
   "level": "l3"
  },
  "CAP_cc0ded4f": {
   "en": "Steering Mode Manager",
   "zh": "转向模式管理",
   "level": "l3"
  },
  "CAP_3aef4c60": {
   "en": "Yaw Rate Steering Controller",
   "zh": "横摆角速率转向控制",
   "level": "l3"
  },
  "CAP_44964916": {
   "en": "Heading to Turn Rate Controller",
   "zh": "航向转横摆角速率控制",
   "level": "l3"
  },
  "CAP_87761e8a": {
   "en": "Steering Servo PWM Output",
   "zh": "转向舵机 PWM 输出",
   "level": "l3"
  },
  "CAP_71b590b6": {
   "en": "Vehicle State Estimation with Slip Angle",
   "zh": "车辆状态估计与侧偏角",
   "level": "l3"
  },
  "CAP_1502f6f4": {
   "en": "Dynamic Bicycle Model Prediction",
   "zh": "动力学自行车模型预测",
   "level": "l3"
  },
  "CAP_b99546cc": {
   "en": "Tube NMPC Steering Solver",
   "zh": "Tube NMPC 转向求解",
   "level": "l3"
  },
  "CAP_27e12340": {
   "en": "Steering Command Rate Limiting",
   "zh": "转向命令速率限制",
   "level": "l3"
  },
  "CAP_13819de6": {
   "en": "Reference Trajectory Reception",
   "zh": "参考轨迹接收",
   "level": "l3"
  },
  "CAP_5a10f409": {
   "en": "Delay-and-Sum Beamforming Pipeline",
   "zh": "延迟求和波束形成流水线",
   "level": "l2"
  },
  "CAP_3db5116d": {
   "en": "STFT Time-Frequency Analysis",
   "zh": "STFT时频分析",
   "level": "l3"
  },
  "CAP_53c7a8ae": {
   "en": "Steering Vector Construction",
   "zh": "导向向量构造",
   "level": "l3"
  },
  "CAP_7531b0ff": {
   "en": "Delay-and-Sum Beamforming",
   "zh": "延迟求和波束形成",
   "level": "l3"
  },
  "CAP_820c2cda": {
   "en": "Grating Lobe Constraint Verification",
   "zh": "栅瓣约束验证",
   "level": "l3"
  },
  "CAP_e07a6f46": {
   "en": "ISTFT Time-Domain Reconstruction",
   "zh": "ISTFT时域重建",
   "level": "l3"
  },
  "CAP_14d08df3": {
   "en": "Scene Definition and Data Generation",
   "zh": "场景定义与数据生成",
   "level": "l3"
  },
  "CAP_7099dd3a": {
   "en": "Room and Array Setup",
   "zh": "房间与阵列设置",
   "level": "l3"
  },
  "CAP_fc0a7240": {
   "en": "RIR Generation",
   "zh": "房间脉冲响应生成",
   "level": "l3"
  },
  "CAP_2bd29d25": {
   "en": "Time-Frequency Transform and Covariance Estimation",
   "zh": "时频变换与协方差估计",
   "level": "l3"
  },
  "CAP_032fe63b": {
   "en": "Multi-channel STFT",
   "zh": "多通道STFT",
   "level": "l3"
  },
  "CAP_c5b53acc": {
   "en": "Covariance Matrix Estimation",
   "zh": "协方差矩阵估计",
   "level": "l3"
  },
  "CAP_5b1c39a5": {
   "en": "Beamforming Weight Calculation",
   "zh": "波束形成权重计算",
   "level": "l3"
  },
  "CAP_25218279": {
   "en": "Steering Vector Computation",
   "zh": "导向向量计算",
   "level": "l3"
  },
  "CAP_8ff138f2": {
   "en": "DAS Weight Calculation",
   "zh": "DAS权重计算",
   "level": "l3"
  },
  "CAP_504d47eb": {
   "en": "Beamforming Application and Inverse Transform",
   "zh": "波束形成应用与逆变换",
   "level": "l3"
  },
  "CAP_e6798d53": {
   "en": "Apply DAS in Frequency Domain",
   "zh": "频域应用DAS",
   "level": "l3"
  },
  "CAP_f26826b9": {
   "en": "Multi-channel Audio Acquisition",
   "zh": "多通道音频采集",
   "level": "l3"
  },
  "CAP_c89b3d48": {
   "en": "Sound Source Localization MUSIC",
   "zh": "MUSIC声源定位",
   "level": "l3"
  },
  "CAP_5b5d560e": {
   "en": "Sound Source Separation GHDSS",
   "zh": "GHDSS声源分离",
   "level": "l3"
  },
  "CAP_6df249cb": {
   "en": "Robust ASR Missing-Feature",
   "zh": "缺失特征鲁棒ASR",
   "level": "l3"
  },
  "CAP_e465673a": {
   "en": "MVDR/GSC Adaptive Beamforming Pipeline",
   "zh": "MVDR/GSC 统计自适应波束形成流水线",
   "level": "l2"
  },
  "CAP_00b4cfc0": {
   "en": "WebRTC Classical VAD Pipeline",
   "zh": "WebRTC 经典 VAD 流水线",
   "level": "l3"
  },
  "CAP_8867f5e8": {
   "en": "GMM Speech Probability",
   "zh": "GMM语音概率计算",
   "level": "l3"
  },
  "CAP_0fd428fb": {
   "en": "VAD Decision With Hangover",
   "zh": "带拖尾的VAD判决",
   "level": "l3"
  },
  "CAP_99b6f66e": {
   "en": "VAD-based Noise Frame Selection",
   "zh": "基于VAD的噪声帧选择",
   "level": "l3"
  },
  "CAP_68727b6f": {
   "en": "Noise Covariance Estimation",
   "zh": "噪声协方差估计",
   "level": "l3"
  },
  "CAP_2fdd13be": {
   "en": "MVDR Weight Calculation",
   "zh": "MVDR权重计算",
   "level": "l3"
  },
  "CAP_fa675374": {
   "en": "GSC Adaptive Weight Update",
   "zh": "GSC自适应权重更新",
   "level": "l3"
  },
  "CAP_bb1b5384": {
   "en": "Apply MVDR/GSC in Frequency Domain",
   "zh": "频域应用MVDR/GSC",
   "level": "l3"
  },
  "CAP_3786922b": {
   "en": "Neural Mask-based MVDR Beamforming Pipeline",
   "zh": "神经掩模 MVDR 混合波束形成流水线",
   "level": "l2"
  },
  "CAP_5f4fb2c9": {
   "en": "WPE Dereverberation",
   "zh": "WPE 多通道去混响",
   "level": "l3"
  },
  "CAP_95914e65": {
   "en": "Neural Mask Prediction",
   "zh": "神经掩模预测",
   "level": "l3"
  },
  "CAP_0299e87e": {
   "en": "Mask-weighted Covariance Estimation",
   "zh": "掩模加权协方差估计",
   "level": "l3"
  },
  "CAP_ae93dca3": {
   "en": "Principal Eigenvector Steering Extraction",
   "zh": "主特征向量导向提取",
   "level": "l3"
  },
  "CAP_a1436563": {
   "en": "Neural Mask Estimation",
   "zh": "神经掩模估计",
   "level": "l2"
  },
  "CAP_098795ba": {
   "en": "Steering Vector Estimation",
   "zh": "导向向量估计",
   "level": "l3"
  },
  "CAP_23a018bd": {
   "en": "Apply Beamforming",
   "zh": "应用波束形成",
   "level": "l3"
  },
  "CAP_f91d9041": {
   "en": "Apply MVDR Beamforming",
   "zh": "应用MVDR波束形成",
   "level": "l3"
  },
  "CAP_4c4b9ca7": {
   "en": "End-to-end Neural Beamforming Pipeline",
   "zh": "端到端神经波束形成流水线",
   "level": "l2"
  },
  "CAP_a504ff25": {
   "en": "Time-domain 1D Conv Encoder",
   "zh": "时域一维卷积编码器",
   "level": "l3"
  },
  "CAP_7966833c": {
   "en": "NCC Cross-channel Feature Extraction",
   "zh": "归一化互相关跨通道特征提取",
   "level": "l3"
  },
  "CAP_77deb6e1": {
   "en": "DPRNN Long Sequence Modeling",
   "zh": "DPRNN长序列建模",
   "level": "l3"
  },
  "CAP_ced7eb36": {
   "en": "TAC Cross-channel Exchange",
   "zh": "TAC跨通道信息交换",
   "level": "l3"
  },
  "CAP_5eb7f378": {
   "en": "Beamforming Filter Regression & Gating",
   "zh": "波束形成滤波器回归与门控",
   "level": "l3"
  },
  "CAP_b0b52e20": {
   "en": "Time-domain Filter-and-Sum & Overlap-add Reconstruction",
   "zh": "时域滤波求和与重叠相加重建",
   "level": "l3"
  },
  "CAP_06cf59c5": {
   "en": "NCC Feature Extraction",
   "zh": "归一化互相关特征提取",
   "level": "l3"
  },
  "CAP_9f222694": {
   "en": "Filter-and-Sum Beamforming",
   "zh": "滤波求和波束形成",
   "level": "l3"
  },
  "CAP_f7cd6d6a": {
   "en": "Acoustic DOA Localization",
   "zh": "声学DOA定位",
   "level": "l2"
  },
  "CAP_ab3ac735": {
   "en": "Multi-Channel Audio Synchronization and Delay Compensation",
   "zh": "多通道音频同步与延迟补偿",
   "level": "l3"
  },
  "CAP_dc8b23f4": {
   "en": "GCC-PHAT Time Delay and Direction Conversion",
   "zh": "GCC-PHAT 时延估计与方向换算",
   "level": "l3"
  },
  "CAP_2d80bd97": {
   "en": "Temporal DOA Smoothing",
   "zh": "时域 DOA 平滑",
   "level": "l3"
  },
  "CAP_cbd2672b": {
   "en": "DOA Trajectory Output",
   "zh": "DOA 轨迹输出",
   "level": "l3"
  },
  "CAP_5f785cc1": {
   "en": "Multi-channel Audio Preprocessing",
   "zh": "多通道音频预处理",
   "level": "l2"
  },
  "CAP_ebeb5376": {
   "en": "Multi-channel Audio Loading",
   "zh": "多通道音频加载",
   "level": "l3"
  },
  "CAP_5dc22162": {
   "en": "GCC-PHAT TDOA Estimation",
   "zh": "GCC-PHAT时延估计",
   "level": "l2"
  },
  "CAP_c7331788": {
   "en": "Covariance Computation",
   "zh": "协方差矩阵计算",
   "level": "l3"
  },
  "CAP_cc973f17": {
   "en": "GCC-PHAT Cross-Correlation",
   "zh": "GCC-PHAT互相关计算",
   "level": "l3"
  },
  "CAP_5f91b837": {
   "en": "Peak Detection and Quadratic Interpolation",
   "zh": "峰值检测与二次插值",
   "level": "l3"
  },
  "CAP_9bdc5d36": {
   "en": "DOA Conversion from TDOA",
   "zh": "TDOA到DOA转换",
   "level": "l2"
  },
  "CAP_3e5878f9": {
   "en": "TDOA to DOA Conversion",
   "zh": "TDOA到DOA转换计算",
   "level": "l3"
  },
  "CAP_d8712ec2": {
   "en": "SRP-PHAT Steered Response Power DOA Pipeline",
   "zh": "SRP-PHAT 可调向功率 DOA 估计链",
   "level": "l2"
  },
  "CAP_8a3d2bf9": {
   "en": "Spherical Directional Grid Generation",
   "zh": "球面方向格点生成",
   "level": "l3"
  },
  "CAP_41a349b4": {
   "en": "SRP-PHAT Steered Power Accumulation and Peak Search",
   "zh": "SRP-PHAT 可调向响应功率扫描",
   "level": "l3"
  },
  "CAP_9416b959": {
   "en": "Multi-Source DOA Clustering",
   "zh": "多源 DOA 聚类",
   "level": "l3"
  },
  "CAP_178ffa1a": {
   "en": "Multi-channel Audio Synchronization and Delay Compensation",
   "zh": "多通道音频同步与延迟补偿",
   "level": "l3"
  },
  "CAP_6bef613a": {
   "en": "SRP-PHAT Spatial Power Scan",
   "zh": "SRP-PHAT空间功率扫描",
   "level": "l2"
  },
  "CAP_bfecb4d3": {
   "en": "SRP-PHAT Power Accumulation",
   "zh": "SRP-PHAT功率累加",
   "level": "l3"
  },
  "CAP_f7012cd0": {
   "en": "SRP-PHAT Peak Search",
   "zh": "SRP-PHAT峰值搜索",
   "level": "l3"
  },
  "CAP_beb94c6d": {
   "en": "MUSIC Subspace DOA Pipeline",
   "zh": "MUSIC 子空间 DOA 估计链",
   "level": "l2"
  },
  "CAP_bb997a76": {
   "en": "MUSIC Covariance Subspace Spectral Estimation",
   "zh": "MUSIC 协方差子空间谱估计",
   "level": "l3"
  },
  "CAP_e0534cda": {
   "en": "Neural Network DOA Estimation Pipeline",
   "zh": "神经网络DOA估计链",
   "level": "l2"
  },
  "CAP_f7d95699": {
   "en": "Multi-Channel Log Mel Spectral Extraction",
   "zh": "多通道对数Mel频谱提取",
   "level": "l3"
  },
  "CAP_917c4d1e": {
   "en": "CRNN DOA Regression Inference",
   "zh": "CRNN DOA回归推理",
   "level": "l3"
  },
  "CAP_c9c0c19e": {
   "en": "SED Threshold and DOA Normalization Decoding",
   "zh": "SED阈值与DOA归一化解码",
   "level": "l3"
  },
  "CAP_beb42fb7": {
   "en": "SELD Joint Metric Calculation",
   "zh": "SELD联合度量计算",
   "level": "l3"
  },
  "CAP_37356558": {
   "en": "Physics-Based Porous Material Property Prediction",
   "zh": "物理参数驱动的多孔材料声学属性预测",
   "level": "l2"
  },
  "CAP_008ebf32": {
   "en": "Porous Material Parameter Ingestion",
   "zh": "多孔材料物理参数解析",
   "level": "l3"
  },
  "CAP_93989536": {
   "en": "Equivalent Fluid Acoustic Model Solver",
   "zh": "等效流体声学模型求解",
   "level": "l3"
  },
  "CAP_4a99b986": {
   "en": "Transfer Matrix Multilayer Cascade",
   "zh": "传递矩阵多层级联",
   "level": "l3"
  },
  "CAP_6407f6e6": {
   "en": "Acoustic Property Curve Computation",
   "zh": "声学属性曲线计算",
   "level": "l3"
  },
  "CAP_0421685e": {
   "en": "Biot Poroelastic FEM Upgrade",
   "zh": "Biot 多孔弹性有限元升级",
   "level": "l3"
  },
  "CAP_ae5241a7": {
   "en": "Measurement-Based Material Property Acquisition",
   "zh": "测量驱动的材料声学属性获取",
   "level": "l2"
  },
  "CAP_451eae23": {
   "en": "Impedance Tube Transfer Function Measurement",
   "zh": "阻抗管传递函数法测量",
   "level": "l3"
  },
  "CAP_5698fa41": {
   "en": "Reverberation Room Absorption Measurement",
   "zh": "混响室吸声测量",
   "level": "l3"
  },
  "CAP_33ae1d56": {
   "en": "Random Incidence Scattering Measurement",
   "zh": "无规入射散射系数测量",
   "level": "l3"
  },
  "CAP_dcb8e361": {
   "en": "Material Property Database Entry Generation",
   "zh": "材料属性数据库条目生成",
   "level": "l3"
  },
  "CAP_2e44eecf": {
   "en": "Simulator-Side Material Database & Surface Assignment",
   "zh": "仿真器侧材料数据库与表面分配",
   "level": "l2"
  },
  "CAP_70a63980": {
   "en": "Acoustic Material Database Lookup",
   "zh": "声学材料库检索",
   "level": "l3"
  },
  "CAP_c190e410": {
   "en": "Octave Band Material Interpolation",
   "zh": "倍频带材料属性插值",
   "level": "l3"
  },
  "CAP_7da64206": {
   "en": "Per-Surface Material Assignment",
   "zh": "按表面材料分配",
   "level": "l3"
  },
  "CAP_9d8c4131": {
   "en": "Scattering & Air Absorption Configuration",
   "zh": "散射与空气吸收配置",
   "level": "l3"
  },
  "CAP_85d5b22a": {
   "en": "Simulator Scene Export",
   "zh": "仿真场景导出",
   "level": "l3"
  },
  "CAP_e4b6b4d9": {
   "en": "Sample Preparation & Apparatus Calibration",
   "zh": "样品制备与装置校准",
   "level": "l3"
  },
  "CAP_4def3973": {
   "en": "Acoustic Navigation Sensor Fusion Primitives",
   "zh": "声学导航传感器融合原语",
   "level": "l2"
  },
  "CAP_da4da14a": {
   "en": "EKF State Prediction",
   "zh": "EKF 状态预测",
   "level": "l3"
  },
  "CAP_cf73f316": {
   "en": "EKF Innovation Gating",
   "zh": "EKF 创新门控",
   "level": "l3"
  },
  "CAP_6eb4e2d8": {
   "en": "EKF Fusion with Differential Config",
   "zh": "EKF 多传感器融合与 differential 配置",
   "level": "l3"
  },
  "CAP_7f3e9d21": {
   "en": "INS Mechanization",
   "zh": "INS 力学编排",
   "level": "l3"
  },
  "CAP_3375d9a9": {
   "en": "DVL Beam-to-Earth Velocity Transformation",
   "zh": "DVL 波束到地速变换",
   "level": "l3"
  },
  "CAP_292ae658": {
   "en": "Acoustic TWTT Ranging",
   "zh": "声学双向传播时间测距",
   "level": "l3"
  },
  "CAP_2b950d71": {
   "en": "Sound Speed Profile Correction",
   "zh": "声速剖面修正",
   "level": "l3"
  },
  "CAP_9a5cc592": {
   "en": "Navigation Mode Transition",
   "zh": "导航模式切换",
   "level": "l3"
  },
  "CAP_fde69884": {
   "en": "LBL Transponder Array Triangulation Navigation",
   "zh": "LBL 长基线应答器阵三角定位导航",
   "level": "l2"
  },
  "CAP_7c0c0d9d": {
   "en": "LBL Baseline Calibration",
   "zh": "LBL 阵基线校准",
   "level": "l3"
  },
  "CAP_b54dce81": {
   "en": "LBL Range-Only EKF Update",
   "zh": "LBL 斜距紧组合 EKF 更新",
   "level": "l3"
  },
  "CAP_43e400a0": {
   "en": "USBL Ship-Mounted Acoustic Positioning",
   "zh": "USBL 船载声学定位",
   "level": "l2"
  },
  "CAP_083a3f8d": {
   "en": "USBL Array and Ship-Sensor Calibration",
   "zh": "USBL 阵与船体传感器标定",
   "level": "l3"
  },
  "CAP_456d18a4": {
   "en": "USBL Phase-Difference Bearing Estimation",
   "zh": "USBL 相位差测向",
   "level": "l3"
  },
  "CAP_8a5f6bd7": {
   "en": "Ship-to-Global Coordinate Transfer",
   "zh": "船体到大地坐标传递",
   "level": "l3"
  },
  "CAP_9d8f6d50": {
   "en": "USBL Position Tight EKF Update",
   "zh": "USBL 位置紧组合 EKF 更新",
   "level": "l3"
  },
  "CAP_6a98363a": {
   "en": "USBL Anomaly Rejection",
   "zh": "USBL 异常剔除",
   "level": "l3"
  },
  "CAP_db09cf66": {
   "en": "DVL INS Bottom-Track Dead Reckoning",
   "zh": "DVL-INS 底跟踪航位推算",
   "level": "l2"
  },
  "CAP_70515f17": {
   "en": "DVL-INS Sensor Calibration and Initialization",
   "zh": "DVL-INS 传感器标定与初始化",
   "level": "l3"
  },
  "CAP_3b1aa57c": {
   "en": "DVL Bottom-Track and Water-Track Mode Management",
   "zh": "DVL 底跟踪与水跟踪模式管理",
   "level": "l3"
  },
  "CAP_f4cb08d6": {
   "en": "GPS Surface Reset and EKF Re-initialization",
   "zh": "GPS 表面重置与 EKF 重初始化",
   "level": "l3"
  },
  "CAP_c484847d": {
   "en": "IMU-Only Coasting and DVL Recovery",
   "zh": "IMU 降级推算与 DVL 恢复",
   "level": "l3"
  },
  "CAP_235e7080": {
   "en": "OWTT Single-Beacon Cooperative Navigation",
   "zh": "OWTT 单信标协同导航",
   "level": "l2"
  },
  "CAP_de4a9046": {
   "en": "Clock Synchronization and Modem Calibration",
   "zh": "时钟同步与 modem 校准",
   "level": "l3"
  },
  "CAP_8c624a50": {
   "en": "OWTT Ranging and Beacon Position Acquisition",
   "zh": "OWTT 测距与信标位置获取",
   "level": "l3"
  },
  "CAP_4cafdbe1": {
   "en": "Single-Range Filter Update",
   "zh": "单测距滤波更新",
   "level": "l3"
  },
  "CAP_0348f41f": {
   "en": "Filter Convergence and Clock Drift Monitoring",
   "zh": "滤波收敛与时钟漂移监控",
   "level": "l3"
  },
  "CAP_871bd937": {
   "en": "Auditory Driven Head Orientation for HRI",
   "zh": "听觉引导头部朝向交互",
   "level": "l2"
  },
  "CAP_ccf0d674": {
   "en": "Acoustic DOA to Head Pose Mapping",
   "zh": "声源 DOA 到头部姿态映射",
   "level": "l3"
  },
  "CAP_3a6b5170": {
   "en": "Reactive Head Orientation Servo",
   "zh": "反应式头部朝向伺服控制",
   "level": "l3"
  },
  "CAP_6a093c6d": {
   "en": "Sound Source Confidence Gating",
   "zh": "声源置信度门控",
   "level": "l3"
  },
  "CAP_216e43cd": {
   "en": "Camera FOV Alignment Verification",
   "zh": "相机视场对齐验证",
   "level": "l3"
  },
  "CAP_223d699d": {
   "en": "Bearing Only Approach Navigation Toward Sound Source",
   "zh": "方位基准声源接近导航",
   "level": "l2"
  },
  "CAP_9861e1aa": {
   "en": "DOA to Heading Error Mapping",
   "zh": "DOA 到航向误差映射",
   "level": "l3"
  },
  "CAP_793e881f": {
   "en": "Bearing Only Approach Control",
   "zh": "方位基准接近控制律",
   "level": "l3"
  },
  "CAP_687adb58": {
   "en": "Sound Energy Proximity Estimation",
   "zh": "声压能量接近度估计",
   "level": "l3"
  },
  "CAP_4f26bf1e": {
   "en": "Auditory Nav Stack Integration",
   "zh": "听觉-导航栈协同集成",
   "level": "l3"
  },
  "CAP_16c7afa5": {
   "en": "Approach Arrival Judgment",
   "zh": "声源到达判定",
   "level": "l3"
  },
  "CAP_2ec921ae": {
   "en": "Active Multi View Sound Source Position Localization",
   "zh": "主动多视图声源位置定位",
   "level": "l2"
  },
  "CAP_291e5ef0": {
   "en": "Multi View DOA Triangulation",
   "zh": "多视图 DOA 三角化",
   "level": "l3"
  },
  "CAP_c5f0fcd3": {
   "en": "Bearing Only Source Position Filter",
   "zh": "方位基准源位置滤波",
   "level": "l3"
  },
  "CAP_a72d62cf": {
   "en": "Active Sensing Frontier Grading",
   "zh": "主动感知前沿评分",
   "level": "l3"
  },
  "CAP_a257acfd": {
   "en": "Source Type Classification Gating",
   "zh": "声源类型分类门控",
   "level": "l3"
  },
  "CAP_d60e8433": {
   "en": "Localization Convergence Judgment",
   "zh": "定位收敛判定",
   "level": "l3"
  },
  "CAP_4a3c1626": {
   "en": "Reachability-Based Safe Set Control",
   "zh": "基于可达性与CBF的形式化安全集控制",
   "level": "l2"
  },
  "CAP_2b1b5bb9": {
   "en": "Emergency Abort and Fall Recovery",
   "zh": "紧急中止与跌倒恢复",
   "level": "l2"
  },
  "CAP_e4a5197d": {
   "en": "HJ Reachability Safety Verification",
   "zh": "HJ 可达性安全验证",
   "level": "l3"
  },
  "CAP_f83235c1": {
   "en": "Dynamic Safe Set Construction",
   "zh": "动态安全集构造",
   "level": "l3"
  },
  "CAP_71784e40": {
   "en": "CBF Safety Filter",
   "zh": "控制障碍函数安全滤波器",
   "level": "l3"
  },
  "CAP_405a0f09": {
   "en": "CBF-QP Workspace Assembly",
   "zh": "CBF-QP工作空间组装",
   "level": "l3"
  },
  "CAP_ca9e1263": {
   "en": "CBF Safety Margin Monitoring",
   "zh": "CBF安全裕度监测",
   "level": "l3"
  },
  "CAP_992e3665": {
   "en": "Real-time Control Modification",
   "zh": "实时控制修正",
   "level": "l3"
  },
  "CAP_b2ae7227": {
   "en": "Workspace Barrier Function Construction",
   "zh": "工作空间障碍函数构造",
   "level": "l3"
  },
  "CAP_e376d72f": {
   "en": "HJ Value Function Offline Computation",
   "zh": "HJ 值函数离线计算",
   "level": "l3"
  },
  "CAP_3bad8bb8": {
   "en": "Online Safety Filter QP Assembly",
   "zh": "在线安全滤波 QP 组装",
   "level": "l3"
  },
  "CAP_7cdbe116": {
   "en": "Patching Algorithm Reachable Set Decomposition",
   "zh": "Patching 算法可达集分解",
   "level": "l3"
  },
  "CAP_ff020102": {
   "en": "NMPC DCBF Duality Integration",
   "zh": "NMPC 与 DCBF 对偶集成",
   "level": "l3"
  },
  "CAP_4e46d766": {
   "en": "Backup CBF Implicit Invariant Set",
   "zh": "Backup CBF 隐式不变集",
   "level": "l3"
  },
  "CAP_41ad7727": {
   "en": "SOS Funnel Verification",
   "zh": "SOS 漏斗验证",
   "level": "l3"
  },
  "CAP_8ab20efc": {
   "en": "Funnel Library Sequential Composition",
   "zh": "漏斗库顺序组合",
   "level": "l3"
  },
  "CAP_f2a4dbde": {
   "en": "PAC-Bayes Funnel Policy Learning",
   "zh": "PAC-Bayes 漏斗策略学习",
   "level": "l3"
  },
  "CAP_9e097659": {
   "en": "Safe Falling Policy Learning",
   "zh": "学习型安全跌倒策略",
   "level": "l3"
  },
  "CAP_d433514c": {
   "en": "Stable Mode Transition",
   "zh": "稳定模式主动转移",
   "level": "l3"
  },
  "CAP_01156f46": {
   "en": "Fall Trigger Detection",
   "zh": "跌倒触发检测",
   "level": "l3"
  },
  "CAP_8b642592": {
   "en": "NMPC Problem Setup",
   "zh": "NMPC 问题建模",
   "level": "l2"
  },
  "CAP_50b4e293": {
   "en": "NMPC Pinocchio URDF Modeling",
   "zh": "NMPC Pinocchio URDF 建模",
   "level": "l3"
  },
  "CAP_8412f4fc": {
   "en": "NMPC Cost Constraint Configuration",
   "zh": "NMPC 成本约束配置",
   "level": "l3"
  },
  "CAP_9d61e1dd": {
   "en": "NMPC Real-Time Execution",
   "zh": "NMPC 实时执行",
   "level": "l3"
  },
  "CAP_c189b243": {
   "en": "Control-Affine Dynamics Modeling",
   "zh": "控制仿射动力学建模",
   "level": "l3"
  },
  "CAP_f1a2b3c0": {
   "en": "Multi-Modal Rolling-Unrolling LSTM Action Anticipation",
   "zh": "多模态 Rolling-Unrolling LSTM 动作预判",
   "level": "l2"
  },
  "CAP_f1a2b3c1": {
   "en": "Multi-Modal Video Feature Extraction",
   "zh": "视频帧多模态特征提取",
   "level": "l3"
  },
  "CAP_f1a2b3c2": {
   "en": "Rolling LSTM Past Observation Encoding",
   "zh": "Rolling LSTM 过去观测编码",
   "level": "l3"
  },
  "CAP_f1a2b3c3": {
   "en": "Unrolling LSTM Future Feature Extrapolation",
   "zh": "Unrolling LSTM 未来特征外推",
   "level": "l3"
  },
  "CAP_f1a2b3c4": {
   "en": "Sequence Completion Pretraining",
   "zh": "Sequence Completion 预训练",
   "level": "l3"
  },
  "CAP_f1a2b3c5": {
   "en": "Modality Attention Multi-Modal Fusion",
   "zh": "Modality Attention 多模态晚期融合",
   "level": "l3"
  },
  "CAP_f1a2b3c6": {
   "en": "Multi-Scale Action Anticipation Inference",
   "zh": "多尺度动作预判推理",
   "level": "l3"
  },
  "CAP_f2b3c4d0": {
   "en": "Self-Supervised Video Foundation Model Action Anticipation",
   "zh": "自监督视频基础模型动作预判",
   "level": "l2"
  },
  "CAP_f2b3c4d1": {
   "en": "Action Anticipation Time Window Sampling",
   "zh": "动作预判时间窗口采样",
   "level": "l3"
  },
  "CAP_f2b3c4d2": {
   "en": "EK100 Action Anticipation Probe Inference",
   "zh": "EK100 动作预判探针推理",
   "level": "l3"
  },
  "CAP_f3c4d5e0": {
   "en": "Transformer Long-Term Action Sequence Parallel Anticipation",
   "zh": "Transformer 长时序动作序列并行预判",
   "level": "l2"
  },
  "CAP_f3c4d5e1": {
   "en": "I3D Visual Feature Extraction",
   "zh": "I3D 视觉特征提取",
   "level": "l3"
  },
  "CAP_f3c4d5e2": {
   "en": "Transformer Encoder Past Frame Temporal Encoding",
   "zh": "Transformer Encoder 过去帧时序编码",
   "level": "l3"
  },
  "CAP_f3c4d5e4": {
   "en": "Action Segmentation Auxiliary Loss",
   "zh": "动作分割辅助损失计算",
   "level": "l3"
  },
  "CAP_f3c4d5e5": {
   "en": "Action Sequence MoF1 MoM Evaluation",
   "zh": "动作序列 MoF1/MoM 评估",
   "level": "l3"
  },
  "CAP_5bc0065f": {
   "en": "V-JEPA 2 Self-Supervised Video Pretraining",
   "zh": "V-JEPA 2 自监督视频预训练",
   "level": "l3"
  },
  "CAP_ce1b85d0": {
   "en": "JEPA Embedding Encoding",
   "zh": "JEPA 嵌入编码",
   "level": "l3"
  },
  "CAP_3759d428": {
   "en": "Attentive Probe Evaluation",
   "zh": "注意力探针评估",
   "level": "l3"
  },
  "CAP_f3c4d5e3": {
   "en": "Transformer Decoder Parallel Future Action Decoding",
   "zh": "Transformer Decoder 未来动作序列并行解码",
   "level": "l3"
  },
  "CAP_e699949f": {
   "en": "Chunked Action Decoding",
   "zh": "分块动作解码",
   "level": "l2"
  },
  "CAP_8ded3e91": {
   "en": "ACT Behavior Cloning Training",
   "zh": "ACT行为克隆训练",
   "level": "l3"
  },
  "CAP_512fb6d6": {
   "en": "Action Chunk Queuing",
   "zh": "动作分块排队",
   "level": "l3"
  },
  "CAP_1f1f2429": {
   "en": "Action Chunking and Temporal Ensemble",
   "zh": "动作分块与时序集成",
   "level": "l3"
  },
  "CAP_e32ae0dc": {
   "en": "Observation Streaming and Temporal Alignment",
   "zh": "观测流式采集与时间对齐",
   "level": "l3"
  },
  "CAP_8f5d3e2c": {
   "en": "FAST Action Chunk Token Compression",
   "zh": "FAST动作块token压缩",
   "level": "l3"
  },
  "CAP_7df39e35": {
   "en": "VLA Optimized Fine-Tuning",
   "zh": "VLA优化微调",
   "level": "l2"
  },
  "CAP_5e9a1b7f": {
   "en": "Continuous Action L1 Regression Head",
   "zh": "连续动作L1回归头",
   "level": "l3"
  },
  "CAP_2e0a60ae": {
   "en": "VLA Multi Modal Input Encoding",
   "zh": "VLA多模态输入编码",
   "level": "l3"
  },
  "CAP_52e695a9": {
   "en": "Inference Time Detect And Correct Recovery",
   "zh": "推理时检测与纠正恢复",
   "level": "l2"
  },
  "CAP_30003056": {
   "en": "Latent Vision Monitor",
   "zh": "潜在空间视觉监控器",
   "level": "l3"
  },
  "CAP_e22541df": {
   "en": "Online Gradient Guidance",
   "zh": "在线梯度引导纠正",
   "level": "l3"
  },
  "CAP_eb3c6b96": {
   "en": "Autoregressive Action Chunk Generation",
   "zh": "自回归动作块生成",
   "level": "l3"
  },
  "CAP_e695e6bc": {
   "en": "VLA Backbone Forward Pass",
   "zh": "VLA 主干前向传播",
   "level": "l3"
  },
  "CAP_babbb047": {
   "en": "RSSM Latent Imagination World Model Training from Play",
   "zh": "从玩耍数据训练 RSSM 潜在想象世界模型",
   "level": "l2"
  },
  "CAP_12d29af1": {
   "en": "Diffusion World Model Training from Play",
   "zh": "从玩耍数据训练扩散世界模型",
   "level": "l2"
  },
  "CAP_f04ca5d1": {
   "en": "Token Autoregressive World Model Training from Play",
   "zh": "从玩耍数据训练 Token 自回归世界模型",
   "level": "l2"
  },
  "CAP_dbdb4b4d": {
   "en": "JEPA Embedding Predictive World Model Training from Play",
   "zh": "从玩耍数据训练 JEPA 嵌入预测世界模型",
   "level": "l2"
  },
  "CAP_91a778a9": {
   "en": "World Model Forward Rollout",
   "zh": "世界模型前向展开",
   "level": "l2"
  },
  "CAP_1a4a3163": {
   "en": "Candidate Action Evaluation",
   "zh": "候选动作评估",
   "level": "l2"
  },
  "CAP_0c30f485": {
   "en": "VQ Tokenizer Training for World Model",
   "zh": "世界模型 VQ tokenizer 训练",
   "level": "l3"
  },
  "CAP_20182996": {
   "en": "GPT Token World Model Training",
   "zh": "GPT token 世界模型训练",
   "level": "l3"
  },
  "CAP_29aaa61c": {
   "en": "Zero-Shot Robot Planning with JEPA World Model",
   "zh": "JEPA 世界模型零样本机器人规划",
   "level": "l3"
  },
  "CAP_34953d95": {
   "en": "Actor Critic on Token Trajectory",
   "zh": "token 轨迹上 actor-critic 训练",
   "level": "l3"
  },
  "CAP_3698f7b1": {
   "en": "Masked Embedding Prediction",
   "zh": "mask 嵌入预测",
   "level": "l3"
  },
  "CAP_388ac80d": {
   "en": "First-Step Action Execution",
   "zh": "首步动作执行",
   "level": "l3"
  },
  "CAP_3a8f619f": {
   "en": "Candidate Ranking and Output",
   "zh": "候选排序与输出",
   "level": "l3"
  },
  "CAP_cf52550f": {
   "en": "MPC Planning with Policy Prior",
   "zh": "基于策略先验的 MPC 规划",
   "level": "l3"
  },
  "CAP_44e718d1": {
   "en": "Play Replay Buffer Sampling for World Model",
   "zh": "世界模型玩耍回放缓存采样",
   "level": "l3"
  },
  "CAP_5a17739d": {
   "en": "Candidate Action Sequence Preparation",
   "zh": "候选动作序列准备",
   "level": "l3"
  },
  "CAP_75368d4d": {
   "en": "Latent Reward Value Readout",
   "zh": "潜在奖励价值读取",
   "level": "l3"
  },
  "CAP_7c34df93": {
   "en": "Droid Video Ingestion for JEPA World Model",
   "zh": "JEPA 世界模型 DROID 视频摄入",
   "level": "l3"
  },
  "CAP_92c13715": {
   "en": "Energy Landscape Action Scoring",
   "zh": "能量景观动作评分",
   "level": "l3"
  },
  "CAP_9af7c155": {
   "en": "RSSM Latent Imagination",
   "zh": "RSSM 潜在想象",
   "level": "l3"
  },
  "CAP_a7b1cab6": {
   "en": "Frame-Level Action Conditioning for Diffusion World Model",
   "zh": "扩散世界模型帧级动作条件化",
   "level": "l3"
  },
  "CAP_a9eed1df": {
   "en": "Video Frame Reward Scoring",
   "zh": "视频帧奖励评分",
   "level": "l3"
  },
  "CAP_b8e1dd56": {
   "en": "Diffusion Video Generation Rollout",
   "zh": "扩散视频生成展开",
   "level": "l3"
  },
  "CAP_c72870ca": {
   "en": "Token Autoregressive Dynamics",
   "zh": "token 自回归动力学",
   "level": "l3"
  },
  "CAP_c969e684": {
   "en": "TOLD Implicit World Model Training",
   "zh": "TOLD 隐式世界模型训练",
   "level": "l3"
  },
  "CAP_cd9c4c3a": {
   "en": "V-JEPA 2-AC Action-Conditioned Post-Training",
   "zh": "V-JEPA 2-AC action-conditioned 后训练",
   "level": "l3"
  },
  "CAP_d85247a6": {
   "en": "Play Trajectory Ingestion for World Model",
   "zh": "世界模型玩耍轨迹摄入",
   "level": "l3"
  },
  "CAP_d9392fc7": {
   "en": "Play Replay to Token Pairs",
   "zh": "玩耍回放转 token 对",
   "level": "l3"
  },
  "CAP_dc830d1f": {
   "en": "Actor Critic on Imagined Latent Trajectory",
   "zh": "潜在想象轨迹上 actor-critic 训练",
   "level": "l3"
  },
  "CAP_f4688dce": {
   "en": "RSSM World Model Training",
   "zh": "RSSM 世界模型训练",
   "level": "l3"
  },
  "CAP_f58011bf": {
   "en": "Diffusion World Model Training",
   "zh": "扩散世界模型训练",
   "level": "l3"
  },
  "CAP_f8604d43": {
   "en": "Token Reward Readout",
   "zh": "token 奖励读取",
   "level": "l3"
  },
  "CAP_5799e52d": {
   "en": "Pixel Space Video Prediction Pretraining",
   "zh": "像素空间视频预测预训练",
   "level": "l2"
  },
  "CAP_eeec9e21": {
   "en": "Recurrent Spatiotemporal Frame Prediction",
   "zh": "循环式时空帧预测",
   "level": "l3"
  },
  "CAP_1522ee31": {
   "en": "Diffusion Video Conditioning",
   "zh": "扩散视频条件构建",
   "level": "l3"
  },
  "CAP_28d4c9e6": {
   "en": "Token to Pixel Decoding",
   "zh": "token 解码为像素",
   "level": "l3"
  },
  "CAP_089aa35e": {
   "en": "Oh-Style Deterministic AC Frame Prediction",
   "zh": "Oh 式确定性动作条件帧预测",
   "level": "l3"
  },
  "CAP_9596033d": {
   "en": "Stochastic Latent Multi-Frame Video Forecasting",
   "zh": "随机潜在多帧视频预测",
   "level": "l3"
  },
  "CAP_efde419b": {
   "en": "Visual Foresight CEM Action Sequence Planning",
   "zh": "视觉前瞻 CEM 动作序列规划",
   "level": "l3"
  },
  "CAP_09abb8eb": {
   "en": "PDDL Durative Action Duration Authoring",
   "zh": "PDDL 持续动作时长建模",
   "level": "l2"
  },
  "CAP_e37f7809": {
   "en": "Durative Action Schema Authoring",
   "zh": "持续动作模式编写",
   "level": "l3"
  },
  "CAP_be50791a": {
   "en": "Duration Inequality Parameterization",
   "zh": "时长不等式参数化",
   "level": "l3"
  },
  "CAP_ab709e85": {
   "en": "Temporal Problem Formulation",
   "zh": "时序问题建模",
   "level": "l2"
  },
  "CAP_055b8815": {
   "en": "PDDL Problem Instance Generation",
   "zh": "PDDL问题实例生成",
   "level": "l3"
  },
  "CAP_08b2cfd2": {
   "en": "Temporal Planner Engine Selection",
   "zh": "时序规划引擎选择",
   "level": "l3"
  },
  "CAP_39a55106": {
   "en": "Temporal Plan Synthesis",
   "zh": "时序计划合成",
   "level": "l2"
  },
  "CAP_1b512690": {
   "en": "Temporal Plan Solving",
   "zh": "时序计划求解",
   "level": "l3"
  },
  "CAP_35321754": {
   "en": "Temporal Plan Serialization",
   "zh": "时序计划序列化",
   "level": "l3"
  },
  "CAP_aa01b111": {
   "en": "Plan Validation and Dispatch",
   "zh": "计划验证与分发",
   "level": "l2"
  },
  "CAP_27ed415e": {
   "en": "PDDL Plan Validation",
   "zh": "PDDL 计划验证",
   "level": "l3"
  },
  "CAP_8b8fb2c0": {
   "en": "Plan Action Dispatch",
   "zh": "计划动作分发",
   "level": "l3"
  },
  "CAP_afcb6f1d": {
   "en": "Execution Trace Collection",
   "zh": "执行轨迹采集",
   "level": "l2"
  },
  "CAP_290a8179": {
   "en": "ROS Bag Trace Ingestion",
   "zh": "ROS Bag 轨迹导入",
   "level": "l3"
  },
  "CAP_5296f024": {
   "en": "Action Duration Extraction",
   "zh": "动作时长提取",
   "level": "l3"
  },
  "CAP_c1f0112c": {
   "en": "Duration Model Training",
   "zh": "时长模型训练",
   "level": "l2"
  },
  "CAP_c82e935e": {
   "en": "Feature Engineering for Duration",
   "zh": "时长特征工程",
   "level": "l3"
  },
  "CAP_692fc15c": {
   "en": "Point Estimation Regression",
   "zh": "点估计回归",
   "level": "l3"
  },
  "CAP_6e6c5608": {
   "en": "Gaussian Process Duration Model",
   "zh": "高斯过程时长模型",
   "level": "l3"
  },
  "CAP_d057aa6d": {
   "en": "Bayesian Network Duration Model",
   "zh": "贝叶斯网络时长模型",
   "level": "l3"
  },
  "CAP_072a5fd3": {
   "en": "Duration Model Export",
   "zh": "时长模型导出",
   "level": "l2"
  },
  "CAP_3f181e16": {
   "en": "Model Serialization",
   "zh": "模型序列化",
   "level": "l3"
  },
  "CAP_589f9376": {
   "en": "Duration Function Wrapper",
   "zh": "时长函数封装",
   "level": "l3"
  },
  "CAP_a2590d04": {
   "en": "Learned Duration Planner Integration",
   "zh": "学习时长规划器集成",
   "level": "l2"
  },
  "CAP_1fa42454": {
   "en": "UPF Custom Duration Engine",
   "zh": "UPF 自定义时长引擎",
   "level": "l3"
  },
  "CAP_6c50edc0": {
   "en": "PlanSys2 Duration Function Injection",
   "zh": "PlanSys2 时长函数注入",
   "level": "l3"
  },
  "CAP_df8cb3ad": {
   "en": "Learned Duration Plan Generation",
   "zh": "学习时长计划生成",
   "level": "l3"
  },
  "CAP_780923e8": {
   "en": "Online Duration Prior Setup",
   "zh": "在线时长先验初始化",
   "level": "l2"
  },
  "CAP_3b74d930": {
   "en": "Prior Distribution Loading",
   "zh": "先验分布加载",
   "level": "l3"
  },
  "CAP_6a2d0307": {
   "en": "Feedback Source Subscription",
   "zh": "反馈源订阅",
   "level": "l3"
  },
  "CAP_4e93d94e": {
   "en": "Execution Feedback Ingestion",
   "zh": "执行反馈摄取",
   "level": "l2"
  },
  "CAP_deab1ee4": {
   "en": "Action Dispatch Event Ingestion",
   "zh": "动作分发事件摄取",
   "level": "l3"
  },
  "CAP_79540f99": {
   "en": "Progress Observation Extraction",
   "zh": "进度观测提取",
   "level": "l3"
  },
  "CAP_1bcce5d9": {
   "en": "Bayesian Duration Filter Update",
   "zh": "贝叶斯时长滤波更新",
   "level": "l2"
  },
  "CAP_c000e6c9": {
   "en": "Kalman Filter Duration Predict",
   "zh": "卡尔曼滤波时长预测",
   "level": "l3"
  },
  "CAP_102f9aee": {
   "en": "Kalman Filter Duration Update",
   "zh": "卡尔曼滤波时长更新",
   "level": "l3"
  },
  "CAP_406d05b2": {
   "en": "Particle Filter Duration Update",
   "zh": "粒子滤波时长更新",
   "level": "l3"
  },
  "CAP_8396279f": {
   "en": "Posterior Query and Replan Trigger",
   "zh": "后验查询与重规划触发",
   "level": "l2"
  },
  "CAP_43426b51": {
   "en": "Posterior Duration Query",
   "zh": "后验时长查询",
   "level": "l3"
  },
  "CAP_3859b111": {
   "en": "Replan Trigger Decision",
   "zh": "重规划触发决策",
   "level": "l3"
  },
  "CAP_41916eec": {
   "en": "PLEXIL EndCondition Integration",
   "zh": "PLEXIL 结束条件集成",
   "level": "l3"
  },
  "CAP_a1b2c3d0": {
   "en": "Constraint-SAT Symbolic Action Model Learning",
   "zh": "约束满足式符号动作模型学习",
   "level": "l2"
  },
  "CAP_a1b2c3d1": {
   "en": "Plan Trace Parsing and Normalization",
   "zh": "计划轨迹解析与归一化",
   "level": "l3"
  },
  "CAP_6bb09172": {
   "en": "Frequent Action Set Mining",
   "zh": "频繁动作集挖掘",
   "level": "l3"
  },
  "CAP_a1b2c3d3": {
   "en": "MAX-SAT Clause Encoding",
   "zh": "MAX-SAT 子句编码",
   "level": "l3"
  },
  "CAP_a1b2c3d4": {
   "en": "MAX-SAT Solver Invocation",
   "zh": "MAX-SAT 求解器调用",
   "level": "l3"
  },
  "CAP_a1b2c3d5": {
   "en": "Operator Schema Decoding",
   "zh": "算子 schema 解码",
   "level": "l3"
  },
  "CAP_a1b2c3d7": {
   "en": "Replanning F1 Evaluation",
   "zh": "重规划 F1 评估",
   "level": "l3"
  },
  "CAP_b2c3d4e0": {
   "en": "Object-Centric Action Model Learning",
   "zh": "对象中心参数状态机动作模型学习",
   "level": "l2"
  },
  "CAP_b2c3d4e1": {
   "en": "Action Sequence Parsing",
   "zh": "动作序列解析",
   "level": "l3"
  },
  "CAP_b2c3d4e2": {
   "en": "Parameter Position State Machine Induction",
   "zh": "参数位置状态机归纳",
   "level": "l3"
  },
  "CAP_b2c3d4e3": {
   "en": "Object Type Refinement",
   "zh": "对象类型精化",
   "level": "l3"
  },
  "CAP_b2c3d4e4": {
   "en": "Operator Schema Synthesis",
   "zh": "算子 schema 合成",
   "level": "l3"
  },
  "CAP_b2c3d4e5": {
   "en": "Replanning Validation on IPC Domains",
   "zh": "IPC 域重规划验证",
   "level": "l3"
  },
  "CAP_eddcb9af": {
   "en": "Static Predicate Refinement",
   "zh": "静态谓词精化（LOP）",
   "level": "l3"
  },
  "CAP_c3d4e5f0": {
   "en": "Classical-Planning-Encoding Action Model Learning",
   "zh": "经典规划编码动作模型学习",
   "level": "l2"
  },
  "CAP_c3d4e5f1": {
   "en": "Meta-Domain Construction",
   "zh": "元域构造",
   "level": "l3"
  },
  "CAP_7f8f09e9": {
   "en": "Classical Planner Invocation",
   "zh": "经典规划器调用",
   "level": "l3"
  },
  "CAP_c3d4e5f3": {
   "en": "Meta-Plan to Operator Decoding",
   "zh": "元计划到算子解码",
   "level": "l3"
  },
  "CAP_c3d4e5f4": {
   "en": "VAL and Replanning Validation",
   "zh": "VAL 与重规划验证",
   "level": "l3"
  },
  "CAP_d4e5f6a0": {
   "en": "LLM-Based PDDL Domain Generation",
   "zh": "LLM 驱动 PDDL 域生成",
   "level": "l2"
  },
  "CAP_d4e5f6a1": {
   "en": "Few-Shot PDDL Prompt Construction",
   "zh": "Few-Shot PDDL Prompt 构造",
   "level": "l3"
  },
  "CAP_d4e5f6a2": {
   "en": "LLM Inference and PDDL Extraction",
   "zh": "LLM 推理与 PDDL 抽取",
   "level": "l3"
  },
  "CAP_d4e5f6a3": {
   "en": "PDDL Repair Loop",
   "zh": "PDDL 修复循环",
   "level": "l3"
  },
  "CAP_d4e5f6a5": {
   "en": "Fast Downward Replanning Evaluation",
   "zh": "Fast Downward 重规划评估",
   "level": "l3"
  },
  "CAP_7d3a1f5c": {
   "en": "Discrete Action Token Space Generation",
   "zh": "离散动作token空间生成",
   "level": "l2"
  },
  "CAP_21717cc6": {
   "en": "VLM Full SFT for Robotics",
   "zh": "VLM机器人全参SFT微调",
   "level": "l2"
  },
  "CAP_7026fc38": {
   "en": "Action Token Discretization",
   "zh": "动作token离散化",
   "level": "l3"
  },
  "CAP_03e36ea5": {
   "en": "VLM Forward Inference (Action Token)",
   "zh": "VLM前向推理(动作token)",
   "level": "l3"
  },
  "CAP_741d70a4": {
   "en": "ECoT Reasoning Chain Autoregressive Generation",
   "zh": "ECoT推理链自回归生成",
   "level": "l3"
  },
  "CAP_66ce96d5": {
   "en": "Action Token Unnorm Decoding",
   "zh": "动作token反归一化解码",
   "level": "l3"
  },
  "CAP_0d4011f1": {
   "en": "REST API VLA Serving",
   "zh": "REST API VLA服务",
   "level": "l3"
  },
  "CAP_6a321173": {
   "en": "VLM Flow Matching Action Expert",
   "zh": "VLM流匹配动作专家微调",
   "level": "l2"
  },
  "CAP_2e8b4d9a": {
   "en": "Continuous Action Diffusion Generation",
   "zh": "连续动作扩散生成",
   "level": "l2"
  },
  "CAP_19b5cd94": {
   "en": "Proprio State Projector Loading",
   "zh": "本体感知投影器加载",
   "level": "l3"
  },
  "CAP_50417398": {
   "en": "Cross Embodiment Pretraining",
   "zh": "跨本体预训练",
   "level": "l3"
  },
  "CAP_640b9624": {
   "en": "Flow Matching Training",
   "zh": "Flow matching训练",
   "level": "l3"
  },
  "CAP_f989e145": {
   "en": "Flow Matching Action Generation",
   "zh": "Flow Matching动作生成",
   "level": "l3"
  },
  "CAP_c51e6a16": {
   "en": "Flow Matching Denoising Inference",
   "zh": "Flow matching去噪推理",
   "level": "l3"
  },
  "CAP_634228dd": {
   "en": "Diffusion Policy or ACT Training",
   "zh": "Diffusion Policy或ACT训练",
   "level": "l3"
  },
  "CAP_bc30f5a5": {
   "en": "Diffusion Policy Denoising Rollout",
   "zh": "Diffusion Policy去噪推理",
   "level": "l3"
  },
  "CAP_c4f7c071": {
   "en": "Programmatic VQA via Code Generation",
   "zh": "程序化视觉问答",
   "level": "l2"
  },
  "CAP_6e1cebfd": {
   "en": "API-aware Code Synthesis",
   "zh": "API感知代码合成",
   "level": "l3"
  },
  "CAP_42724236": {
   "en": "Code Safety Filtering",
   "zh": "代码安全过滤",
   "level": "l3"
  },
  "CAP_a3464c00": {
   "en": "LLM Code Parameter Synthesis",
   "zh": "LLM代码参数合成",
   "level": "l2"
  },
  "CAP_f7566f09": {
   "en": "Modifier to Velocity Value Mapping",
   "zh": "修饰语到速度数值映射",
   "level": "l3"
  },
  "CAP_a615497b": {
   "en": "Voxel Value Map Composition",
   "zh": "体素价值图合成",
   "level": "l3"
  },
  "CAP_e54424f2": {
   "en": "Per Waypoint Parameter Enforcement",
   "zh": "逐航点参数强制",
   "level": "l3"
  },
  "CAP_d9aabfe9": {
   "en": "Closed Loop LLM Code Replan",
   "zh": "闭环LLM代码重规划",
   "level": "l3"
  },
  "CAP_95ddf432": {
   "en": "Reactive Impedance Policy via Code",
   "zh": "代码级反应阻抗策略",
   "level": "l3"
  },
  "CAP_c31ea5ef": {
   "en": "Online Dynamics Learning for MPC",
   "zh": "在线动力学学习与MPC",
   "level": "l3"
  },
  "CAP_4530b091": {
   "en": "Behavioral Commonsense Parameter Adjustment",
   "zh": "行为常识参数调整",
   "level": "l3"
  },
  "CAP_749c91ea": {
   "en": "Fine Grained Language Correction",
   "zh": "精细语言修正",
   "level": "l3"
  },
  "CAP_f1924975": {
   "en": "Video Preprocessing",
   "zh": "视频预处理",
   "level": "l2"
  },
  "CAP_2b9cfb33": {
   "en": "3D CNN Video Feature Extraction",
   "zh": "3D CNN 视频特征提取",
   "level": "l2"
  },
  "CAP_0dbcef3c": {
   "en": "AQA Score Regression",
   "zh": "AQA 分数回归",
   "level": "l2"
  },
  "CAP_e0e8fb11": {
   "en": "Direct Score Regression Head",
   "zh": "直接分数回归头",
   "level": "l3"
  },
  "CAP_e575805c": {
   "en": "AQA Training and Evaluation",
   "zh": "AQA 训练与评估",
   "level": "l2"
  },
  "CAP_e5f246df": {
   "en": "AQA Model Training",
   "zh": "AQA 模型训练",
   "level": "l3"
  },
  "CAP_fac881cf": {
   "en": "AQA Contrastive Regression",
   "zh": "AQA 对比回归",
   "level": "l2"
  },
  "CAP_13f11b7f": {
   "en": "Exemplar Selection",
   "zh": "Exemplar 选择",
   "level": "l3"
  },
  "CAP_ed5f8059": {
   "en": "Pair Wise Feature Difference",
   "zh": "配对特征差异计算",
   "level": "l3"
  },
  "CAP_b1223069": {
   "en": "Group Aware Regression Tree",
   "zh": "群体感知回归树",
   "level": "l3"
  },
  "CAP_c4904057": {
   "en": "AQA Procedure Aware Attention",
   "zh": "AQA 过程感知注意力",
   "level": "l2"
  },
  "CAP_aeb65791": {
   "en": "Step Level Action Parsing",
   "zh": "步骤级动作解析",
   "level": "l3"
  },
  "CAP_36d43ad3": {
   "en": "AQA Group Aware Attention",
   "zh": "AQA 群体感知注意力",
   "level": "l2"
  },
  "CAP_4ee56cad": {
   "en": "Long Video Clip Segmentation",
   "zh": "长视频 clip 切分",
   "level": "l3"
  },
  "CAP_e499d8fd": {
   "en": "Formation Context Modeling",
   "zh": "群体阵型上下文建模",
   "level": "l3"
  },
  "CAP_ed4af3d2": {
   "en": "Video Level Score Aggregation",
   "zh": "视频级分数聚合",
   "level": "l3"
  },
  "CAP_5186e164": {
   "en": "Temporal Segmentation Cross Attention",
   "zh": "时序分割交叉注意力",
   "level": "l3"
  },
  "CAP_ca1deab4": {
   "en": "Vector Optimization Hand Retargeting",
   "zh": "向量优化灵巧手重定向",
   "level": "l3"
  },
  "CAP_6d9f2a8e": {
   "en": "Continuous To Bin Action Discretization",
   "zh": "连续到分箱动作离散化",
   "level": "l3"
  },
  "CAP_c4d7e2a9": {
   "en": "Unified Action Space Normalization",
   "zh": "统一动作空间归一化",
   "level": "l3"
  },
  "CAP_47eef774": {
   "en": "Cross Embodiment Data Aggregation",
   "zh": "跨本体数据聚合标准化",
   "level": "l3"
  },
  "CAP_18b5525f": {
   "en": "Source Dataset Schema Extraction",
   "zh": "源数据集 schema 抽取",
   "level": "l3"
  },
  "CAP_cbaf66f1": {
   "en": "RLDS Dataset Serialization",
   "zh": "RLDS 数据集序列化",
   "level": "l3"
  },
  "CAP_d34d68dd": {
   "en": "RLDS Trajectory Loading",
   "zh": "RLDS轨迹加载与OXE混合",
   "level": "l3"
  },
  "CAP_9f1c6b3e": {
   "en": "Cross Embodiment Unified Action Head",
   "zh": "跨本体统一动作头",
   "level": "l2"
  },
  "CAP_7e2a9c4d": {
   "en": "Cross Embodiment Action Alignment",
   "zh": "跨本体动作对齐",
   "level": "l3"
  },
  "CAP_1b8f5d3e": {
   "en": "Embodiment Conditioned Action Head Adapter",
   "zh": "本体条件动作头适配器",
   "level": "l3"
  },
  "CAP_1e641f70": {
   "en": "Diffusion Action Transformer Action Generation",
   "zh": "Diffusion Action Transformer动作生成",
   "level": "l3"
  },
  "CAP_3fc4bbdc": {
   "en": "Independent Action Expert Construction",
   "zh": "独立动作专家构造",
   "level": "l3"
  },
  "CAP_f2b8d6c4": {
   "en": "Action Expert Decoupled Head",
   "zh": "动作专家解耦头",
   "level": "l3"
  },
  "CAP_eda8b7ed": {
   "en": "Action Normalization and RLDS Conversion",
   "zh": "动作归一化与 RLDS 转换",
   "level": "l3"
  },
  "CAP_20accd6d": {
   "en": "Physics-Based Social Force Pedestrian Trajectory Prediction Pipeline",
   "zh": "物理社会力行人轨迹预测管线",
   "level": "l2"
  },
  "CAP_ac8002da": {
   "en": "Social Force Field Construction",
   "zh": "社会力场构造",
   "level": "l3"
  },
  "CAP_98616f82": {
   "en": "Social Force Euler Integration Rollout",
   "zh": "社会力欧拉积分滚动",
   "level": "l3"
  },
  "CAP_3387babf": {
   "en": "Predicted Trajectory Dynamic Obstacle Injection",
   "zh": "预测轨迹动态障碍注入",
   "level": "l3"
  },
  "CAP_6f48e41e": {
   "en": "Spatio-Temporal Graph Probabilistic Multi-Agent Trajectory Prediction Pipeline",
   "zh": "时空图概率多智能体轨迹预测管线",
   "level": "l2"
  },
  "CAP_2193ca35": {
   "en": "Spatio-Temporal Scene Graph Construction and Node History Encoding",
   "zh": "时空场景图构造与节点历史编码",
   "level": "l3"
  },
  "CAP_b1a23b1d": {
   "en": "CVAE Multimodal Trajectory Decoding",
   "zh": "CVAE 多模态轨迹解码",
   "level": "l3"
  },
  "CAP_11ad2a7a": {
   "en": "Dynamically-Feasible Integration",
   "zh": "动态可行性积分",
   "level": "l3"
  },
  "CAP_977eb124": {
   "en": "Robot Node Future-Conditional Interactive Prediction",
   "zh": "机器人节点未来条件交互式预测",
   "level": "l3"
  },
  "CAP_a866d92a": {
   "en": "Agent-Aware Transformer Multi-Agent Trajectory Prediction Pipeline",
   "zh": "Agent-Aware Transformer 多智能体轨迹预测管线",
   "level": "l2"
  },
  "CAP_3184770c": {
   "en": "Agent-Aware Joint Spatio-Temporal Attention Encoding",
   "zh": "Agent-Aware 联合时空注意力编码",
   "level": "l3"
  },
  "CAP_26738d53": {
   "en": "Joint Latent Intent CVAE Multi-Agent Decoding",
   "zh": "联合 Latent Intent CVAE 多智能体解码",
   "level": "l3"
  },
  "CAP_7e25a05f": {
   "en": "DLow Diverse Trajectory Sampling",
   "zh": "DLow 多样性轨迹采样",
   "level": "l3"
  },
  "CAP_dbcda056": {
   "en": "Goal-Conditioned Two-Stage Multimodal Trajectory Prediction Pipeline",
   "zh": "目标条件两阶段多模态轨迹预测管线",
   "level": "l2"
  },
  "CAP_e01c64fc": {
   "en": "Trajectory-on-Scene Heatmap Endpoint Decoding",
   "zh": "Trajectory-on-Scene Heatmap 端点解码",
   "level": "l3"
  },
  "CAP_0989ed7d": {
   "en": "TTST Goal Sampling and Diversification",
   "zh": "TTST 端点采样与多样化",
   "level": "l3"
  },
  "CAP_9aaf65d9": {
   "en": "Conditioned Waypoint and Trajectory Decoding",
   "zh": "条件化 Waypoint 与轨迹解码",
   "level": "l3"
  },
  "CAP_45fb01e5": {
   "en": "Active Compliance Control",
   "zh": "主动柔顺控制",
   "level": "l2"
  },
  "CAP_b0b418a5": {
   "en": "Cartesian Impedance Control",
   "zh": "笛卡尔阻抗控制",
   "level": "l2"
  },
  "CAP_1be2eebc": {
   "en": "Sensor-Driven Admittance Control",
   "zh": "传感器驱动导纳控制",
   "level": "l2"
  },
  "CAP_f1d59918": {
   "en": "Hybrid Force Position Control",
   "zh": "混合力位控制",
   "level": "l2"
  },
  "CAP_9c0d1e2f": {
   "en": "Cartesian Pose Error Computation",
   "zh": "笛卡尔位姿误差计算",
   "level": "l3"
  },
  "CAP_02d75eed": {
   "en": "Cartesian Impedance Parameter Design",
   "zh": "笛卡尔阻抗参数设计",
   "level": "l3"
  },
  "CAP_cdea32ee": {
   "en": "Robot Rigid-Body Dynamics Real-time Computation",
   "zh": "机器人刚体动力学实时计算",
   "level": "l3"
  },
  "CAP_a0511817": {
   "en": "Impedance Torque Law Synthesis",
   "zh": "阻抗力矩律合成",
   "level": "l3"
  },
  "CAP_b60a1948": {
   "en": "Realtime Torque Loop Dispatch",
   "zh": "实时力矩环下发",
   "level": "l3"
  },
  "CAP_13bf3a92": {
   "en": "Cartesian Impedance Runtime Tuning",
   "zh": "笛卡尔阻抗运行时调节",
   "level": "l3"
  },
  "CAP_7906ad56": {
   "en": "Force Torque Sensor Feedback Integration",
   "zh": "力矩传感器反馈集成",
   "level": "l3"
  },
  "CAP_bef5a0e4": {
   "en": "Admittance Controller Setup",
   "zh": "导纳控制器配置",
   "level": "l3"
  },
  "CAP_8bd67072": {
   "en": "Admittance Reference Motion Computation",
   "zh": "导纳参考运动计算",
   "level": "l3"
  },
  "CAP_f368f6e1": {
   "en": "Position Loop Reference Dispatch",
   "zh": "位置环参考下发",
   "level": "l3"
  },
  "CAP_d2c968ec": {
   "en": "Admittance Loop Stability Monitoring",
   "zh": "导纳环稳定性监测",
   "level": "l3"
  },
  "CAP_364489ce": {
   "en": "Admittance Parameter Runtime Tuning",
   "zh": "导纳参数运行时调节",
   "level": "l3"
  },
  "CAP_4b5fe6fa": {
   "en": "Task Space Selection Matrix Design",
   "zh": "任务空间选择矩阵设计",
   "level": "l3"
  },
  "CAP_fb17d734": {
   "en": "Force Loop PI Control",
   "zh": "力环PI控制",
   "level": "l3"
  },
  "CAP_aad0e3b9": {
   "en": "Position Loop Tracking",
   "zh": "位置环跟踪",
   "level": "l3"
  },
  "CAP_86b24216": {
   "en": "Force-Position Torque Composition",
   "zh": "力位力矩合成",
   "level": "l3"
  },
  "CAP_828bb29c": {
   "en": "Hybrid Force-Position Runtime Dispatch",
   "zh": "混合力位运行时下发",
   "level": "l3"
  },
  "CAP_0ff6ce78": {
   "en": "Active Cooling System",
   "zh": "主动散热系统",
   "level": "l2"
  },
  "CAP_ab067fb3": {
   "en": "PWM Fan Hardware Connection",
   "zh": "PWM 风扇硬件连接",
   "level": "l3"
  },
  "CAP_d6cdaa44": {
   "en": "Device Tree Thermal Binding",
   "zh": "设备树散热绑定",
   "level": "l3"
  },
  "CAP_792be557": {
   "en": "Thermal Zone Configuration",
   "zh": "热区配置",
   "level": "l3"
  },
  "CAP_329740b5": {
   "en": "Thermal Governor Selection",
   "zh": "热调速器选择与调参",
   "level": "l3"
  },
  "CAP_052ac86d": {
   "en": "Userspace Fancontrol Configuration",
   "zh": "用户态 fancontrol 配置",
   "level": "l3"
  },
  "CAP_e58b133c": {
   "en": "Jetson Fan Control",
   "zh": "Jetson 风扇控制",
   "level": "l3"
  },
  "CAP_fe98d2e8": {
   "en": "Fan Speed Monitoring",
   "zh": "风扇转速监控",
   "level": "l3"
  },
  "CAP_3ef91185": {
   "en": "Critical Trip Handling",
   "zh": "临界温度处理",
   "level": "l3"
  },
  "CAP_a5ea8d8a": {
   "en": "Heat Load Estimation",
   "zh": "热负荷估算",
   "level": "l3"
  },
  "CAP_926cdf50": {
   "en": "Cold Plate Selection",
   "zh": "冷板选型",
   "level": "l3"
  },
  "CAP_981e78ff": {
   "en": "Pump and Radiator Selection",
   "zh": "泵与散热排选型",
   "level": "l3"
  },
  "CAP_be7d2cb8": {
   "en": "Coolant Loop Assembly",
   "zh": "冷却液回路装配",
   "level": "l3"
  },
  "CAP_f167524d": {
   "en": "Coolant Temperature Sensing",
   "zh": "冷却液温度采集",
   "level": "l3"
  },
  "CAP_66fadfb7": {
   "en": "Liquid Cooling PID Control",
   "zh": "液冷 PID 控制",
   "level": "l3"
  },
  "CAP_6cca6725": {
   "en": "Liquid Cooling Loop Tuning",
   "zh": "液冷回路闭环调试",
   "level": "l3"
  },
  "CAP_2aad75c5": {
   "en": "Flow and Leak Monitoring",
   "zh": "流量与泄漏监控",
   "level": "l3"
  },
  "CAP_8e0384d4": {
   "en": "Liquid Cooling Fault Response",
   "zh": "液冷故障响应与维护",
   "level": "l3"
  },
  "CAP_e8c0141e": {
   "en": "TEC Heat Load Identification",
   "zh": "TEC 热负荷识别",
   "level": "l3"
  },
  "CAP_9981d2e7": {
   "en": "TEC Module Selection",
   "zh": "TEC 模块选型",
   "level": "l3"
  },
  "CAP_75281a0b": {
   "en": "TEC Hot-Side Dissipation Design",
   "zh": "TEC 热侧散热设计",
   "level": "l3"
  },
  "CAP_a5ad25cb": {
   "en": "TEC Cold-Side Assembly",
   "zh": "TEC 冷侧装配",
   "level": "l3"
  },
  "CAP_bd21d0ba": {
   "en": "H-Bridge TEC Driver Setup",
   "zh": "H 桥 TEC 驱动搭建",
   "level": "l3"
  },
  "CAP_522ce791": {
   "en": "TEC PID Control",
   "zh": "TEC PID 温度控制",
   "level": "l3"
  },
  "CAP_9a4580d7": {
   "en": "TEC Loop Tuning",
   "zh": "TEC 闭环调试",
   "level": "l3"
  },
  "CAP_1c864d08": {
   "en": "Dew Point Anti-Condensation",
   "zh": "露点监测与防凝露",
   "level": "l3"
  },
  "CAP_5abb77bc": {
   "en": "TEC Safety Protection",
   "zh": "TEC 安全保护与部署",
   "level": "l3"
  },
  "CAP_5a182371": {
   "en": "Interactive Imitation Active Data Collection",
   "zh": "交互式模仿主动数据采集",
   "level": "l2"
  },
  "CAP_5c9899ab": {
   "en": "Self-Supervised Autonomous Experience Collection",
   "zh": "自监督自主经验采集",
   "level": "l2"
  },
  "CAP_81b95b1f": {
   "en": "Ensemble Uncertainty-Driven Active Sampling",
   "zh": "Ensemble 不确定性驱动主动采样",
   "level": "l2"
  },
  "CAP_a3a1aad7": {
   "en": "DAgger Iterative Data Aggregation Training",
   "zh": "DAgger 迭代式数据聚合训练",
   "level": "l3"
  },
  "CAP_361ca76a": {
   "en": "Interactive Trajectory Collector",
   "zh": "交互式轨迹采集器",
   "level": "l3"
  },
  "CAP_b9c81aa0": {
   "en": "Beta Schedule Expert Mixing",
   "zh": "β-调度器专家混合",
   "level": "l3"
  },
  "CAP_6182fe9b": {
   "en": "ThriftyDAgger Novelty Risk Switching",
   "zh": "ThriftyDAgger 新颖度风险切换",
   "level": "l3"
  },
  "CAP_cfbc51dd": {
   "en": "Task Failure Risk Q-Estimator",
   "zh": "任务失败风险 Q 估计器",
   "level": "l3"
  },
  "CAP_a5cb69f1": {
   "en": "Human-Gated HG-DAgger Teleoperation",
   "zh": "人控接管 HG-DAgger 遥操作",
   "level": "l3"
  },
  "CAP_82351e3e": {
   "en": "Random Walk Autonomous Data Collection",
   "zh": "随机游走自主数据采集",
   "level": "l3"
  },
  "CAP_9c5d2887": {
   "en": "Collision Detection Auto Reset",
   "zh": "碰撞检测与自动重置",
   "level": "l3"
  },
  "CAP_17e00d09": {
   "en": "Self-Supervised Navigation Event Labeling",
   "zh": "自监督导航事件标注",
   "level": "l3"
  },
  "CAP_08517ae6": {
   "en": "Action-Conditioned Predictive Model Training",
   "zh": "动作条件预测模型训练",
   "level": "l3"
  },
  "CAP_fa61ea5a": {
   "en": "Zeroth-Order Stochastic Optimizer MPC",
   "zh": "零阶随机优化器 MPC",
   "level": "l3"
  },
  "CAP_8473b524": {
   "en": "Multi-Event Reward Function Design",
   "zh": "多事件奖励函数设计",
   "level": "l3"
  },
  "CAP_1ddc0517": {
   "en": "Continuous Autonomous Improvement Loop",
   "zh": "持续自主改进闭环",
   "level": "l3"
  },
  "CAP_0678bc0d": {
   "en": "Bootstrap Dataset Sampling Ensemble Training",
   "zh": "Bootstrap 数据集采样与集成训练",
   "level": "l3"
  },
  "CAP_001a1689": {
   "en": "Probabilistic Neural Network",
   "zh": "概率神经网络",
   "level": "l3"
  },
  "CAP_e3080e2d": {
   "en": "Trajectory Sampling Uncertainty Propagation",
   "zh": "轨迹采样不确定性传播",
   "level": "l3"
  },
  "CAP_388390f4": {
   "en": "Cross-Entropy Method MPC",
   "zh": "交叉熵方法 MPC",
   "level": "l3"
  },
  "CAP_4efe9265": {
   "en": "Epistemic Uncertainty-Driven Active Exploration",
   "zh": "认知不确定性驱动主动探索",
   "level": "l3"
  },
  "CAP_3ee56025": {
   "en": "Periodic Retrain Continuous Improvement Loop",
   "zh": "周期性重训持续改进闭环",
   "level": "l3"
  },
  "CAP_e4851807": {
   "en": "IMGEP Sensorimotor Exploration",
   "zh": "IMGEP 传感器运动探索",
   "level": "l2"
  },
  "CAP_e59854ac": {
   "en": "Goal Space Encoding",
   "zh": "目标空间编码",
   "level": "l3"
  },
  "CAP_f0033146": {
   "en": "Competence Progress Interest Modeling",
   "zh": "能力进步兴趣建模",
   "level": "l3"
  },
  "CAP_edf306fa": {
   "en": "Competence-Progress-Driven Goal Sampling",
   "zh": "能力进步驱动目标采样",
   "level": "l3"
  },
  "CAP_382e9ca0": {
   "en": "Inverse Model Inference",
   "zh": "逆模型推理",
   "level": "l3"
  },
  "CAP_86b78b9e": {
   "en": "Motor Policy Execution",
   "zh": "运动策略执行",
   "level": "l3"
  },
  "CAP_cf8f4ad3": {
   "en": "Forward Model Update",
   "zh": "前向模型更新",
   "level": "l3"
  },
  "CAP_b78788ac": {
   "en": "IMGEP Iteration Control",
   "zh": "IMGEP 迭代控制",
   "level": "l3"
  },
  "CAP_cdccc6bd": {
   "en": "Curiosity-Driven RL Exploration",
   "zh": "好奇心驱动 RL 探索",
   "level": "l2"
  },
  "CAP_7cd349fb": {
   "en": "Observation Acquisition",
   "zh": "观测采集",
   "level": "l3"
  },
  "CAP_fc08048d": {
   "en": "Predictive Feature Encoding",
   "zh": "预测特征编码",
   "level": "l3"
  },
  "CAP_f6f0174d": {
   "en": "Forward Prediction Error Computation",
   "zh": "前向预测误差计算",
   "level": "l3"
  },
  "CAP_d8cb0ebc": {
   "en": "Prediction-Error Intrinsic Reward",
   "zh": "预测误差内在奖励",
   "level": "l3"
  },
  "CAP_f88da3bb": {
   "en": "Curiosity-Augmented Policy Optimization",
   "zh": "好奇心增强策略优化",
   "level": "l3"
  },
  "CAP_b5f8f6d1": {
   "en": "Action Execution & Transition",
   "zh": "动作执行与转移",
   "level": "l3"
  },
  "CAP_624f08ed": {
   "en": "Auxiliary Predictive Model Update",
   "zh": "辅助预测模型更新",
   "level": "l3"
  },
  "CAP_a39795be": {
   "en": "Training Iteration Control",
   "zh": "训练迭代控制",
   "level": "l3"
  },
  "CAP_dd65fdef": {
   "en": "Visual Observation Acquisition",
   "zh": "视觉观测采集",
   "level": "l3"
  },
  "CAP_e5440c9d": {
   "en": "Ensemble RSSM World Model Training",
   "zh": "集成 RSSM 世界模型训练",
   "level": "l3"
  },
  "CAP_e81346a4": {
   "en": "Latent Ensemble Disagreement Computation",
   "zh": "潜在集成分歧计算",
   "level": "l3"
  },
  "CAP_50cb50a3": {
   "en": "Disagreement Intrinsic Reward",
   "zh": "分歧内在奖励",
   "level": "l3"
  },
  "CAP_6d03fd03": {
   "en": "Latent MPC Exploration Planning",
   "zh": "潜在 MPC 探索规划",
   "level": "l3"
  },
  "CAP_0e5f1002": {
   "en": "World Model Ensemble Update",
   "zh": "世界模型集成更新",
   "level": "l3"
  },
  "CAP_4d8c0d9d": {
   "en": "Exploration Iteration Control",
   "zh": "探索迭代控制",
   "level": "l3"
  },
  "CAP_d77d0d51": {
   "en": "Quality Diversity Adaptation",
   "zh": "质量多样性适配",
   "level": "l2"
  },
  "CAP_91e10f25": {
   "en": "Behavior Parameterization",
   "zh": "行为参数化",
   "level": "l3"
  },
  "CAP_433681f2": {
   "en": "Behavior Descriptor Definition",
   "zh": "行为描述符定义",
   "level": "l3"
  },
  "CAP_8bf19edd": {
   "en": "Behavior Sampling & Fitness Evaluation",
   "zh": "行为采样与适应度评估",
   "level": "l3"
  },
  "CAP_ad7a57b8": {
   "en": "MAP-Elites Archive Update",
   "zh": "MAP-Elites 归档更新",
   "level": "l3"
  },
  "CAP_97de0094": {
   "en": "Damage Detection",
   "zh": "受损检测",
   "level": "l3"
  },
  "CAP_c2f4f674": {
   "en": "Archive-Based Bayesian Optimization",
   "zh": "归档式贝叶斯优化",
   "level": "l3"
  },
  "CAP_13bf7a13": {
   "en": "Real-Robot Trial Execution",
   "zh": "真机试验执行",
   "level": "l3"
  },
  "CAP_c1f8e9db": {
   "en": "BO Convergence Control",
   "zh": "贝叶斯优化收敛控制",
   "level": "l3"
  },
  "CAP_81fd6eee": {
   "en": "Wheel Encoder State Acquisition",
   "zh": "轮编码器状态采集",
   "level": "l3"
  },
  "CAP_d879f42e": {
   "en": "Active Exploration for Mapping",
   "zh": "主动探索建图",
   "level": "l2"
  },
  "CAP_c1f519a5": {
   "en": "Frontier Cell Detection (2D BFS)",
   "zh": "2D BFS 前沿单元检测",
   "level": "l3"
  },
  "CAP_26bf5366": {
   "en": "Frontier Cost & Ranking",
   "zh": "前沿代价与排序",
   "level": "l3"
  },
  "CAP_0e6889b1": {
   "en": "Frontier Blacklist & Progress Timeout",
   "zh": "前沿黑名单与进度超时",
   "level": "l3"
  },
  "CAP_95f63ba3": {
   "en": "RRT Frontier Candidate Sampling",
   "zh": "RRT 前沿候选采样",
   "level": "l3"
  },
  "CAP_e658d563": {
   "en": "Frontier Information Gain Scoring",
   "zh": "前沿信息增益评分",
   "level": "l3"
  },
  "CAP_a909119e": {
   "en": "Multi-Robot Frontier Assignment (Hysteresis)",
   "zh": "多机器人前沿分配（滞后）",
   "level": "l3"
  },
  "CAP_1d33bfdb": {
   "en": "Frontier Filter & Validity",
   "zh": "前沿过滤与有效性",
   "level": "l3"
  },
  "CAP_925bc775": {
   "en": "Neural SLAM Module",
   "zh": "Neural SLAM 模块",
   "level": "l3"
  },
  "CAP_61e75385": {
   "en": "RGB Egocentric Map Predictor",
   "zh": "RGB 自中心地图预测器",
   "level": "l3"
  },
  "CAP_364d95a0": {
   "en": "Relative Pose Estimator (NN)",
   "zh": "相对位姿估计器（神经网络）",
   "level": "l3"
  },
  "CAP_e747edb8": {
   "en": "Egocentric to Geocentric Transform",
   "zh": "自中心到全局坐标变换",
   "level": "l3"
  },
  "CAP_884af97b": {
   "en": "Global Policy (PPO) Long-Term Goal",
   "zh": "全局策略（PPO）长期目标",
   "level": "l3"
  },
  "CAP_16020990": {
   "en": "FMM Path Planner (Analytical)",
   "zh": "FMM 解析路径规划器",
   "level": "l3"
  },
  "CAP_e20f9792": {
   "en": "Local Policy (IL) ResNet+GRU",
   "zh": "局部策略（IL）ResNet+GRU",
   "level": "l3"
  },
  "CAP_30988940": {
   "en": "Coverage Reward Function",
   "zh": "覆盖奖励函数",
   "level": "l3"
  },
  "CAP_92bcdd81": {
   "en": "Habitat Noise Model Injection",
   "zh": "Habitat 噪声模型注入",
   "level": "l3"
  },
  "CAP_f334fe76": {
   "en": "LAMP 2.0 Multi-Robot SLAM",
   "zh": "LAMP 2.0 多机器人 SLAM",
   "level": "l3"
  },
  "CAP_304ef107": {
   "en": "GNC Outlier-Resilient Optimization",
   "zh": "GNC 外点鲁棒优化",
   "level": "l3"
  },
  "CAP_d073d46f": {
   "en": "Confidence-Rich Volumetric Mapping",
   "zh": "置信度丰富体积建图",
   "level": "l3"
  },
  "CAP_ce6cf78a": {
   "en": "Multi-Modal Degeneracy-Aware Localization",
   "zh": "多模态退化感知定位",
   "level": "l3"
  },
  "CAP_208548d7": {
   "en": "Learning-Based Traversability Analysis",
   "zh": "学习型可通行性分析",
   "level": "l3"
  },
  "CAP_dfab5634": {
   "en": "Heterogeneous Robot Task Allocation",
   "zh": "异构机器人任务分配",
   "level": "l3"
  },
  "CAP_2955c0f6": {
   "en": "Graph-Based 3D Frontier Planning",
   "zh": "图基 3D 前沿规划",
   "level": "l3"
  },
  "CAP_746707cc": {
   "en": "Risk-Aware Belief-Space Mission Planning Pipeline",
   "zh": "风险感知信念空间任务规划流水线",
   "level": "l3"
  },
  "CAP_6616de57": {
   "en": "Mesh Network Deployment",
   "zh": "Mesh 网络部署",
   "level": "l3"
  },
  "CAP_093343cc": {
   "en": "Artifact Detection & Reporting",
   "zh": "工件检测与上报",
   "level": "l3"
  },
  "CAP_e50d3204": {
   "en": "Single-Human-Supervisor HRC",
   "zh": "单人类监督者人机协同",
   "level": "l3"
  },
  "CAP_2e7f2ddc": {
   "en": "Resilient Locomotion Control",
   "zh": "鲁棒运动控制",
   "level": "l3"
  },
  "CAP_c0837b84": {
   "en": "Occupancy Grid Mapping",
   "zh": "占据栅格建图",
   "level": "l3"
  },
  "CAP_a6beedc9": {
   "en": "Frontier Goal Navigation Execution",
   "zh": "前沿目标导航执行",
   "level": "l3"
  },
  "CAP_304cddc8": {
   "en": "POMDP Object Search Planning",
   "zh": "POMDP/Bayesian 主动物体搜索规划",
   "level": "l2"
  },
  "CAP_5e55bf52": {
   "en": "Object Location Belief Map",
   "zh": "物体位置信念图",
   "level": "l3"
  },
  "CAP_103dabb1": {
   "en": "Object Oriented POMDP Formulation",
   "zh": "OO-POMDP 状态分解",
   "level": "l3"
  },
  "CAP_f8d4bcd8": {
   "en": "Information Gain Viewpoint Selection",
   "zh": "信息增益视角选择",
   "level": "l3"
  },
  "CAP_a261d5a0": {
   "en": "POMDP Solver Integration",
   "zh": "POMDP 求解器集成",
   "level": "l3"
  },
  "CAP_d5b29b25": {
   "en": "Relational Spatial Prior",
   "zh": "拓扑空间关系先验",
   "level": "l3"
  },
  "CAP_ef8579ff": {
   "en": "Sensor Planning Decomposition",
   "zh": "传感器规划二分解",
   "level": "l3"
  },
  "CAP_960ab723": {
   "en": "Learned Semantic Map ObjectNav",
   "zh": "学习式语义地图目标导航",
   "level": "l2"
  },
  "CAP_8eab77f6": {
   "en": "Episodic Semantic Mapping",
   "zh": "情景语义建图",
   "level": "l3"
  },
  "CAP_b7346f95": {
   "en": "RL Goal-Oriented Policy",
   "zh": "RL 目标导向策略",
   "level": "l3"
  },
  "CAP_0ba59cac": {
   "en": "Zero-Shot Frontier-VLM ObjectNav",
   "zh": "零样本前沿视觉语言目标导航",
   "level": "l2"
  },
  "CAP_f622ffaf": {
   "en": "Frontier-Based Exploration",
   "zh": "前沿探索",
   "level": "l3"
  },
  "CAP_a54a5af2": {
   "en": "VLM Viewpoint Scoring",
   "zh": "视觉语言模型视角评分",
   "level": "l3"
  },
  "CAP_c3c4ef68": {
   "en": "Long-Term Goal Selection",
   "zh": "长期目标选择",
   "level": "l3"
  },
  "CAP_cd532772": {
   "en": "VLM Object Grounding",
   "zh": "视觉语言模型物体定位",
   "level": "l3"
  },
  "CAP_3b9f3356": {
   "en": "LLM-Planner Commonsense ObjectNav",
   "zh": "大语言模型规划器常识驱动目标导航",
   "level": "l2"
  },
  "CAP_ab679401": {
   "en": "LLM Commonsense Reasoning",
   "zh": "大语言模型常识推理",
   "level": "l3"
  },
  "CAP_bfaa5fb0": {
   "en": "Goal Decomposition",
   "zh": "目标分解",
   "level": "l3"
  },
  "CAP_6396b1cb": {
   "en": "Room Recognition",
   "zh": "房间识别",
   "level": "l3"
  },
  "CAP_c1a33d6a": {
   "en": "Backtrack Replanning",
   "zh": "回溯重规划",
   "level": "l3"
  },
  "CAP_f8ae68d5": {
   "en": "In-Room Frontier Exploration",
   "zh": "房间内前沿探索",
   "level": "l3"
  },
  "CAP_dfda580c": {
   "en": "Pure Exploration Best Policy Identification",
   "zh": "纯探索最优策略识别",
   "level": "l2"
  },
  "CAP_31eeaf67": {
   "en": "Candidate Policy Registration",
   "zh": "候选策略注册",
   "level": "l3"
  },
  "CAP_30514883": {
   "en": "Arm Statistics Initialization",
   "zh": "臂统计量初始化",
   "level": "l3"
  },
  "CAP_caf84703": {
   "en": "Pure Exploration Sampling Rule",
   "zh": "纯探索采样规则",
   "level": "l3"
  },
  "CAP_ec272a54": {
   "en": "Policy Episode Execution",
   "zh": "策略 episode 执行",
   "level": "l3"
  },
  "CAP_e8b7a8f5": {
   "en": "Sample Mean Update",
   "zh": "样本均值更新",
   "level": "l3"
  },
  "CAP_876b81c5": {
   "en": "Confidence Bound Recomputation",
   "zh": "置信界重算",
   "level": "l3"
  },
  "CAP_81d2d196": {
   "en": "Fixed-Confidence Stopping Rule",
   "zh": "固定置信停止规则",
   "level": "l3"
  },
  "CAP_ef5bd127": {
   "en": "PAC Policy Recommendation",
   "zh": "PAC策略推荐",
   "level": "l3"
  },
  "CAP_f3c96a5b": {
   "en": "Bayesian Policy Comparison Design",
   "zh": "贝叶斯策略对比设计",
   "level": "l2"
  },
  "CAP_f9e08de5": {
   "en": "Candidate Policy Prior Specification",
   "zh": "候选策略先验指定",
   "level": "l3"
  },
  "CAP_8ea4f5c6": {
   "en": "Experimental Design Space Definition",
   "zh": "实验设计空间定义",
   "level": "l3"
  },
  "CAP_86d4397c": {
   "en": "Variational EIG Estimation",
   "zh": "变分 EIG 估计",
   "level": "l3"
  },
  "CAP_ad8043b0": {
   "en": "EIG-Maximizing Design Selection",
   "zh": "EIG 最大化设计选择",
   "level": "l3"
  },
  "CAP_b5a65202": {
   "en": "Multi-Policy Reward Observation",
   "zh": "多策略回报观测",
   "level": "l3"
  },
  "CAP_a388b7c0": {
   "en": "Bayesian Posterior Update",
   "zh": "贝叶斯后验更新",
   "level": "l3"
  },
  "CAP_1a768f2d": {
   "en": "BOED Convergence Check",
   "zh": "BOED 收敛判据",
   "level": "l3"
  },
  "CAP_25657bbc": {
   "en": "Bayesian Policy Recommendation",
   "zh": "贝叶斯策略推荐",
   "level": "l3"
  },
  "CAP_f4d64e9e": {
   "en": "Quality Diversity Adversarial Test Generation",
   "zh": "质量多样性对抗测试生成",
   "level": "l2"
  },
  "CAP_b2fb836a": {
   "en": "Scenario Parameter Space Definition",
   "zh": "场景参数空间定义",
   "level": "l3"
  },
  "CAP_ef3575f8": {
   "en": "Behavior Descriptor Function Specification",
   "zh": "行为描述符函数指定",
   "level": "l3"
  },
  "CAP_26ab397f": {
   "en": "QD Archive Initialization",
   "zh": "QD archive 初始化",
   "level": "l3"
  },
  "CAP_8c7ce742": {
   "en": "Emitter Strategy Sampling",
   "zh": "发射器策略采样",
   "level": "l3"
  },
  "CAP_8c4a2999": {
   "en": "Multi-Policy Trajectory Rollout",
   "zh": "多策略轨迹 Rollout",
   "level": "l3"
  },
  "CAP_ab3f5327": {
   "en": "Behavior Descriptor & Fitness Computation",
   "zh": "行为描述符与适应度计算",
   "level": "l3"
  },
  "CAP_7f96034c": {
   "en": "Archive Cell Update",
   "zh": "archive 单元更新",
   "level": "l3"
  },
  "CAP_34770da0": {
   "en": "QD Convergence & Failure Mode Reporting",
   "zh": "QD 收敛与失效模式报告",
   "level": "l3"
  },
  "CAP_4c3d0db2": {
   "en": "Value of Information Analysis",
   "zh": "信息价值分析",
   "level": "l1"
  },
  "CAP_fdc36b8e": {
   "en": "Information Gain NBV Selection",
   "zh": "信息增益下一最佳视角选择",
   "level": "l3"
  },
  "CAP_6b17e452": {
   "en": "CSQMI Computation",
   "zh": "Cauchy-Schwarz 二次互信息计算",
   "level": "l3"
  },
  "CAP_13f85b59": {
   "en": "Occupancy Entropy Information Gain",
   "zh": "占用熵信息增益",
   "level": "l3"
  },
  "CAP_ca8be088": {
   "en": "Viewpoint Gain Cost Utility",
   "zh": "视角增益成本效用评分",
   "level": "l3"
  },
  "CAP_6a48d2d4": {
   "en": "Information Theoretic Active Perception",
   "zh": "信息论主动感知",
   "level": "l2"
  },
  "CAP_3385c2a1": {
   "en": "Candidate Viewpoint Generation",
   "zh": "候选视角生成",
   "level": "l3"
  },
  "CAP_78755172": {
   "en": "Uncertainty Convergence Termination",
   "zh": "不确定性收敛终止判定",
   "level": "l3"
  },
  "CAP_0796c6e7": {
   "en": "Sensor Frustum Raycast IG",
   "zh": "传感器视锥光线投射信息增益估计",
   "level": "l3"
  },
  "CAP_1e5c614e": {
   "en": "Occupancy Map State Loading",
   "zh": "占用地图状态加载",
   "level": "l3"
  },
  "CAP_c3efe640": {
   "en": "Hidden State Belief Mapping",
   "zh": "隐状态信念建图",
   "level": "l3"
  },
  "CAP_2b492b8d": {
   "en": "Object Location Belief Mapping",
   "zh": "物体位置信念建图",
   "level": "l3"
  },
  "CAP_4f49de2c": {
   "en": "Belief Convergence Termination",
   "zh": "信念收敛终止",
   "level": "l3"
  },
  "CAP_74ebfd65": {
   "en": "POMDP Sensing Reward Shaping",
   "zh": "POMDP感知信息奖励塑形",
   "level": "l3"
  },
  "CAP_627b418a": {
   "en": "Sensing Trajectory Optimization",
   "zh": "感知轨迹优化",
   "level": "l3"
  },
  "CAP_8b876879": {
   "en": "Candidate Sensing Action Enumeration",
   "zh": "候选感知动作枚举",
   "level": "l3"
  },
  "CAP_6d47d669": {
   "en": "Path Budget Constraint",
   "zh": "路径预算约束建模",
   "level": "l3"
  },
  "CAP_b3af907a": {
   "en": "Recursive Greedy IPP",
   "zh": "递归贪心IPP求解",
   "level": "l3"
  },
  "CAP_ac4368e7": {
   "en": "Informative Path Planning",
   "zh": "信息路径规划",
   "level": "l3"
  },
  "CAP_8e34defe": {
   "en": "Submodular VoI Maximization",
   "zh": "次模信息价值最大化",
   "level": "l3"
  },
  "CAP_c1b25279": {
   "en": "GP Field Uncertainty Modeling",
   "zh": "GP场不确定性建模",
   "level": "l3"
  },
  "CAP_1c52bb1a": {
   "en": "Decision Theoretic VoI Computation",
   "zh": "决策论信息价值计算",
   "level": "l2"
  },
  "CAP_f363a162": {
   "en": "Submodular VoI Optimization",
   "zh": "次模信息价值优化",
   "level": "l2"
  },
  "CAP_a709ca59": {
   "en": "VoI Based Sensing Action Selection",
   "zh": "基于信息价值的感知动作选择",
   "level": "l3"
  },
  "CAP_77d2da84": {
   "en": "EVSI Computation",
   "zh": "样本信息期望价值计算",
   "level": "l3"
  },
  "CAP_52a2a1e8": {
   "en": "EVOI Computation",
   "zh": "期望信息价值计算",
   "level": "l3"
  },
  "CAP_5c5b17ae": {
   "en": "Sequential Stopping Rule",
   "zh": "序贯停止规则",
   "level": "l3"
  },
  "CAP_68157cac": {
   "en": "Classification Confidence Termination",
   "zh": "分类置信度终止",
   "level": "l3"
  },
  "CAP_7ec2110c": {
   "en": "Hypothesis Posterior Maintenance",
   "zh": "假设后验维护",
   "level": "l3"
  },
  "CAP_d7e8f9a0": {
   "en": "Matroid Constraint Encoding",
   "zh": "拟阵资源约束编码",
   "level": "l3"
  },
  "CAP_c9d0e1f2": {
   "en": "Programmable Light Curtain Scan-Pattern Selection",
   "zh": "可编程光幕扫描模式在线选择",
   "level": "l3"
  },
  "CAP_e4902f8e": {
   "en": "Active Sensing Strategy Selection via Multi-Armed Bandits",
   "zh": "多臂赌博机主动感知策略选择",
   "level": "l3"
  },
  "CAP_3c704bb0": {
   "en": "Probabilistic Safety Envelope Estimation",
   "zh": "概率安全包络估计",
   "level": "l3"
  },
  "CAP_c0f4f9f2": {
   "en": "Self-Supervised Curtain Reward",
   "zh": "自监督光幕奖励计算",
   "level": "l3"
  },
  "CAP_043b2498": {
   "en": "Feasible Light Curtain Constraint Graph",
   "zh": "可行光幕约束图动态规划",
   "level": "l3"
  },
  "CAP_a3b4c5d6": {
   "en": "Reconfigurable Sensor Task-Driven Placement",
   "zh": "可重构传感器任务驱动物理放置",
   "level": "l3"
  },
  "CAP_e5a9b2c3": {
   "en": "Task-Conditioned Placement Scoring",
   "zh": "任务条件放置效用评分",
   "level": "l3"
  },
  "CAP_b5c6d7e8": {
   "en": "Multi-Surface Sensor Perching",
   "zh": "多表面传感器栖息与区域识别",
   "level": "l3"
  },
  "CAP_a7b8c9d0": {
   "en": "Sensor Autonomous Retrieval and Redeployment",
   "zh": "传感器自主回收与重部署",
   "level": "l3"
  },
  "CAP_a99f4381": {
   "en": "Task-Semantic Activity Intent Inference Pipeline",
   "zh": "任务语义驱动的活动意图推断管线",
   "level": "l2"
  },
  "CAP_8e39112b": {
   "en": "Human Motion Forecasting",
   "zh": "人员运动预测",
   "level": "l3"
  },
  "CAP_10aae781": {
   "en": "Goal-Conditioned Intent Trajectory Forecasting",
   "zh": "目标条件意图轨迹预测",
   "level": "l3"
  },
  "CAP_95b6268b": {
   "en": "Intent Inference",
   "zh": "人员意图推断",
   "level": "l3"
  },
  "CAP_25bac93e": {
   "en": "Proactive Assistance Action Selection",
   "zh": "主动协助动作选择",
   "level": "l3"
  },
  "CAP_43201c30": {
   "en": "Egocentric Next-Step Activity Intent Pipeline",
   "zh": "第一人称下一步活动意图预测管线",
   "level": "l2"
  },
  "CAP_b07e4f00": {
   "en": "VLM Egocentric Video Encoding",
   "zh": "VLM 第一人称视频编码",
   "level": "l3"
  },
  "CAP_4e495371": {
   "en": "Next Active Object Intent Prediction",
   "zh": "下一个主动物体意图预测",
   "level": "l3"
  },
  "CAP_1b557afa": {
   "en": "Next Sub-Goal Intent Prediction",
   "zh": "下一个子目标意图预测",
   "level": "l3"
  },
  "CAP_8dd092de": {
   "en": "Intent Ranking and Assistance Handoff",
   "zh": "意图排序与协助交接",
   "level": "l3"
  },
  "CAP_6d5c8d5d": {
   "en": "Skeleton-based Graph Convolution Activity Recognition",
   "zh": "骨架图卷积活动识别",
   "level": "l2"
  },
  "CAP_00c02b83": {
   "en": "RGB Spatiotemporal Network Activity Recognition",
   "zh": "RGB 时空网络活动识别",
   "level": "l2"
  },
  "CAP_ca213d81": {
   "en": "Egocentric Verb-Noun Activity Recognition",
   "zh": "第一人称动名词活动识别",
   "level": "l2"
  },
  "CAP_3e2817c8": {
   "en": "Procedural Activity Temporal Segmentation",
   "zh": "程序化活动时序分割",
   "level": "l2"
  },
  "CAP_8977e372": {
   "en": "Whole Body Pose Estimation Frontend",
   "zh": "全身姿态估计前端",
   "level": "l3"
  },
  "CAP_15789268": {
   "en": "Skeleton Sequence Preprocessing",
   "zh": "骨架序列预处理",
   "level": "l3"
  },
  "CAP_28f9c708": {
   "en": "Skeleton Data Augmentation",
   "zh": "骨架数据增强",
   "level": "l3"
  },
  "CAP_cd70ac4b": {
   "en": "Spatiotemporal Graph Convolution Inference",
   "zh": "时空图卷积推理",
   "level": "l3"
  },
  "CAP_2616d019": {
   "en": "Skeleton Activity Evaluation",
   "zh": "骨架活动评测",
   "level": "l3"
  },
  "CAP_14c64b7d": {
   "en": "RGB Frame Preprocessing and Augmentation",
   "zh": "RGB 帧预处理与增强",
   "level": "l3"
  },
  "CAP_9b39868f": {
   "en": "SlowFast Spatiotemporal Backbone Inference",
   "zh": "SlowFast 时空网络推理",
   "level": "l3"
  },
  "CAP_c0fa357f": {
   "en": "RGB Activity Evaluation",
   "zh": "RGB 活动评测",
   "level": "l3"
  },
  "CAP_bb64e399": {
   "en": "Egocentric Verb-Noun Joint Classification",
   "zh": "第一人称动名词联合分类",
   "level": "l3"
  },
  "CAP_c9ca8263": {
   "en": "Egocentric Activity Evaluation",
   "zh": "第一人称活动评测",
   "level": "l3"
  },
  "CAP_d786e7e0": {
   "en": "Multi-Stage TCN Segmentation Inference",
   "zh": "多阶段 TCN 分割推理",
   "level": "l3"
  },
  "CAP_4ac47420": {
   "en": "Procedural Segmentation Evaluation",
   "zh": "程序化分割评测",
   "level": "l3"
  },
  "CAP_8611ade8": {
   "en": "On-Policy AC Training Pipeline",
   "zh": "在策略 AC 训练管线",
   "level": "l2"
  },
  "CAP_56cd2373": {
   "en": "Parallel Robot Simulation Environment Setup",
   "zh": "并行机器人仿真环境搭建",
   "level": "l3"
  },
  "CAP_4955302d": {
   "en": "Actor-Critic Network Construction On-Policy",
   "zh": "在策略 Actor-Critic 网络构建",
   "level": "l3"
  },
  "CAP_c795b1de": {
   "en": "On-Policy Rollout Collection",
   "zh": "在策略轨迹采集",
   "level": "l3"
  },
  "CAP_77ae2b36": {
   "en": "Generalized Advantage Estimation",
   "zh": "广义优势估计",
   "level": "l3"
  },
  "CAP_10c3e959": {
   "en": "PPO Clipped Surrogate Update",
   "zh": "PPO 裁剪代理目标更新",
   "level": "l3"
  },
  "CAP_020b1fcd": {
   "en": "Value Function Critic Regression",
   "zh": "值函数 critic 回归",
   "level": "l3"
  },
  "CAP_4b72227c": {
   "en": "Policy Export and Sim-to-Real Deployment",
   "zh": "策略导出与 sim-to-real 部署",
   "level": "l3"
  },
  "CAP_fda2b199": {
   "en": "Off-Policy Deterministic AC Pipeline",
   "zh": "离策略确定性 AC 管线",
   "level": "l2"
  },
  "CAP_a230dcd9": {
   "en": "Deterministic AC Network Construction",
   "zh": "确定性 AC 网络构建",
   "level": "l3"
  },
  "CAP_af1958cf": {
   "en": "Clipped Double Q-Learning Critic Update",
   "zh": "裁剪双 Q 学习 critic 更新",
   "level": "l3"
  },
  "CAP_7e6b0faa": {
   "en": "Delayed Deterministic Policy Gradient Actor Update",
   "zh": "延迟确定性策略梯度 actor 更新",
   "level": "l3"
  },
  "CAP_4cc63ab1": {
   "en": "Deterministic Policy Exploration via Noise",
   "zh": "确定性策略噪声探索",
   "level": "l3"
  },
  "CAP_c4a77406": {
   "en": "Mobile Robot Navigation Deployment with TD3",
   "zh": "TD3 移动机器人导航部署",
   "level": "l3"
  },
  "CAP_f57945bd": {
   "en": "Maximum Entropy Off-Policy AC Pipeline",
   "zh": "最大熵离策略 AC 管线",
   "level": "l2"
  },
  "CAP_36f14e1b": {
   "en": "Stochastic Tanh-Gaussian Actor",
   "zh": "随机 Tanh-Gaussian actor",
   "level": "l3"
  },
  "CAP_cc54d0f8": {
   "en": "Soft Bellman Twin Q Critic Update",
   "zh": "软 Bellman 双 Q critic 更新",
   "level": "l3"
  },
  "CAP_c6702c8e": {
   "en": "Reparameterized Policy Actor Update",
   "zh": "重参数策略 actor 更新",
   "level": "l3"
  },
  "CAP_bcca2adb": {
   "en": "Automatic Temperature Alpha Dual Update",
   "zh": "自动温度 alpha 对偶更新",
   "level": "l3"
  },
  "CAP_7ba651f5": {
   "en": "Stochastic Policy Exploration via Entropy",
   "zh": "熵驱动随机策略探索",
   "level": "l3"
  },
  "CAP_bea0406f": {
   "en": "World-Model Imagination AC Pipeline",
   "zh": "世界模型想象 AC 管线",
   "level": "l2"
  },
  "CAP_5da74b8e": {
   "en": "Symlog Two-Hot Categorical Critic Regression",
   "zh": "Symlog two-hot 分类 critic 回归",
   "level": "l3"
  },
  "CAP_1eb1e4d2": {
   "en": "Scaled Return Normalization with Percentile",
   "zh": "百分位缩放回报归一化",
   "level": "l3"
  },
  "CAP_9b4ed006": {
   "en": "Imagined Lambda Return Computation",
   "zh": "想象 lambda 回报计算",
   "level": "l3"
  },
  "CAP_7df0e5de": {
   "en": "Distributed Actor-Learner AC Pipeline",
   "zh": "分布式 actor-learner AC 管线",
   "level": "l2"
  },
  "CAP_764f339d": {
   "en": "Actor-Learner Topology Initialization",
   "zh": "actor-learner 拓扑初始化",
   "level": "l3"
  },
  "CAP_c235560e": {
   "en": "Distributed Trajectory Collection",
   "zh": "分布式轨迹采集",
   "level": "l3"
  },
  "CAP_a200ca17": {
   "en": "V-trace Off-policy Target Computation",
   "zh": "V-trace 离策略目标计算",
   "level": "l3"
  },
  "CAP_c51b03d7": {
   "en": "V-trace Actor-Critic Joint Update",
   "zh": "V-trace actor-critic 联合更新",
   "level": "l3"
  },
  "CAP_e5c3e623": {
   "en": "GPU Batched Trajectory Forward",
   "zh": "GPU 批量轨迹前向",
   "level": "l3"
  },
  "CAP_aef71822": {
   "en": "GPU Tensor Batched Environment Interface",
   "zh": "GPU tensor 批量化环境接口",
   "level": "l3"
  },
  "CAP_06272a4f": {
   "en": "Experience Replay Pipeline",
   "zh": "经验回放管线",
   "level": "l2"
  },
  "CAP_c26f90aa": {
   "en": "Replay Buffer Mini-Batch Sampling",
   "zh": "回放缓冲去相关采样",
   "level": "l3"
  },
  "CAP_8626efca": {
   "en": "Transition Collection",
   "zh": "转移采集",
   "level": "l3"
  },
  "CAP_6c49b9f2": {
   "en": "Target Network Synchronization",
   "zh": "目标网络同步",
   "level": "l3"
  },
  "CAP_3c6e31ea": {
   "en": "Maximum Entropy AC MDP Modeling",
   "zh": "最大熵演员-评论家 MDP 建模",
   "level": "l3"
  },
  "CAP_05901d00": {
   "en": "Maximum Entropy SAC Policy Deployment",
   "zh": "最大熵 SAC 策略部署",
   "level": "l3"
  },
  "CAP_a69f8329": {
   "en": "DreamerV3 Policy Deployment",
   "zh": "DreamerV3 策略部署",
   "level": "l3"
  },
  "CAP_a20f19df": {
   "en": "Distributed Actor-Learner AC Policy Deployment",
   "zh": "分布式演员-学习器 AC 策略部署",
   "level": "l3"
  },
  "CAP_bfc6d4bd": {
   "en": "BLDC FOC Control Loop",
   "zh": "无刷电机 FOC 闭环控制",
   "level": "l2"
  },
  "CAP_248b25b3": {
   "en": "Encoder Hardware Init",
   "zh": "编码器硬件初始化",
   "level": "l3"
  },
  "CAP_52476f97": {
   "en": "Phase Current Sense ADC",
   "zh": "相电流采样硬件初始化",
   "level": "l3"
  },
  "CAP_5abcf084": {
   "en": "Motor Parameter Calibration",
   "zh": "电机电气参数校准",
   "level": "l3"
  },
  "CAP_d2b1e93a": {
   "en": "Sensor Electrical Zero Alignment",
   "zh": "编码器电气零点对齐",
   "level": "l3"
  },
  "CAP_bfd876dc": {
   "en": "Motor Command Output",
   "zh": "电机指令输出",
   "level": "l3"
  },
  "CAP_72662225": {
   "en": "PID Velocity Control Law",
   "zh": "PID 速度控制律",
   "level": "l3"
  },
  "CAP_25a3e125": {
   "en": "Position Loop PID",
   "zh": "位置环 PID",
   "level": "l3"
  },
  "CAP_8779f5c2": {
   "en": "Axis State Machine",
   "zh": "轴状态机管理",
   "level": "l3"
  },
  "CAP_26db02a0": {
   "en": "Host Communication Interface",
   "zh": "主机通信接口",
   "level": "l3"
  },
  "CAP_1af68cde": {
   "en": "H-Bridge PWM Servo Driver",
   "zh": "H 桥 PWM 与舵机信号接口驱动",
   "level": "l2"
  },
  "CAP_44f302ac": {
   "en": "PCA9685 I2C PWM Init",
   "zh": "PCA9685 I2C PWM 初始化",
   "level": "l3"
  },
  "CAP_a628d9ac": {
   "en": "TMC2209 UART Config",
   "zh": "TMC2209 UART 配置",
   "level": "l3"
  },
  "CAP_054e49ed": {
   "en": "RC Servo PWM Generation",
   "zh": "RC 舵机 PWM 脉宽生成",
   "level": "l3"
  },
  "CAP_6fca595c": {
   "en": "Stepper STEP DIR Generation",
   "zh": "步进 STEP/DIR 脉冲生成",
   "level": "l3"
  },
  "CAP_378c9788": {
   "en": "Smart Actuator Fieldbus Driver",
   "zh": "智能执行器总线驱动开发",
   "level": "l2"
  },
  "CAP_94c50040": {
   "en": "Drive Profile Configuration and Enable",
   "zh": "驱动行规配置与使能",
   "level": "l3"
  },
  "CAP_c7fa06b0": {
   "en": "CiA 402 FSA State Machine Enable",
   "zh": "CiA 402 FSA 状态机使能",
   "level": "l3"
  },
  "CAP_8761998d": {
   "en": "CiA 402 Operation Mode Configuration",
   "zh": "CiA 402 运行模式配置",
   "level": "l3"
  },
  "CAP_18cc2aa6": {
   "en": "Drive-Resident Trajectory Generation and Tracking",
   "zh": "驱动器内嵌曲线生成与跟踪",
   "level": "l2"
  },
  "CAP_1e160424": {
   "en": "CiA 402 Target Value Dispatch",
   "zh": "CiA 402 目标值下发",
   "level": "l3"
  },
  "CAP_d83b0595": {
   "en": "Drive Cascade Loop Tracking",
   "zh": "驱动器级联环跟踪",
   "level": "l3"
  },
  "CAP_eb7d45c3": {
   "en": "Cyclic Setpoint Stream Dispatch",
   "zh": "周期性设定值流分发",
   "level": "l3"
  },
  "CAP_23cc2212": {
   "en": "Mechanical Variable Stiffness Actuator Control",
   "zh": "机械式变刚度执行器控制",
   "level": "l3"
  },
  "CAP_5c5f409a": {
   "en": "EtherCAT Master Init",
   "zh": "EtherCAT 主站初始化",
   "level": "l3"
  },
  "CAP_d58c434d": {
   "en": "ROS2 Control HardwareInterface Implementation",
   "zh": "ros2_control 硬件接口实现",
   "level": "l3"
  },
  "CAP_c17c5207": {
   "en": "Pneumatic Soft Actuator Driver",
   "zh": "气动与软体执行器驱动开发",
   "level": "l2"
  },
  "CAP_a2c6a743": {
   "en": "Vacuum Pressure Control",
   "zh": "真空压力控制",
   "level": "l3"
  },
  "CAP_0dd3c3ec": {
   "en": "Suction Cup Vacuum Generation",
   "zh": "吸盘真空生成",
   "level": "l3"
  },
  "CAP_63edc9fa": {
   "en": "Vacuum Pressure Closed-Loop Regulation",
   "zh": "真空压力闭环调节",
   "level": "l3"
  },
  "CAP_89da8c2e": {
   "en": "Energy-Efficient Vacuum On-Demand",
   "zh": "节能真空按需生成",
   "level": "l3"
  },
  "CAP_fc4f24b7": {
   "en": "Vacuum-On-Demand Hysteresis Control",
   "zh": "真空按需滞回控制",
   "level": "l3"
  },
  "CAP_a29062ab": {
   "en": "Solenoid Valve Driver Init",
   "zh": "电磁阀驱动电路初始化",
   "level": "l3"
  },
  "CAP_0d866796": {
   "en": "Proportional Pressure Valve Init",
   "zh": "比例压力阀初始化",
   "level": "l3"
  },
  "CAP_b1404743": {
   "en": "Pressure Sensor ADC Init",
   "zh": "压力传感器 ADC 初始化",
   "level": "l3"
  },
  "CAP_49e85d4d": {
   "en": "Pneumatic Muscle Pressure Control",
   "zh": "气动人工肌肉压力控制",
   "level": "l3"
  },
  "CAP_a8e48534": {
   "en": "BionicSoftHand Valve Matrix Control",
   "zh": "软体手阀矩阵控制",
   "level": "l3"
  },
  "CAP_33828a59": {
   "en": "BLDC Motor dq-axis Electrical Dynamics Modeling",
   "zh": "BLDC 电机 dq 轴电气动力学建模",
   "level": "l3"
  },
  "CAP_a6d701b3": {
   "en": "Motor Electrical Parameter Identification",
   "zh": "电机电气参数辨识",
   "level": "l3"
  },
  "CAP_ea50c3ce": {
   "en": "PI Current Regulation",
   "zh": "PI 电流调节",
   "level": "l3"
  },
  "CAP_05264edb": {
   "en": "PI Current Controller Tuning",
   "zh": "PI 电流控制器整定",
   "level": "l3"
  },
  "CAP_3a4721a0": {
   "en": "Torque Command Conversion",
   "zh": "力矩指令转换",
   "level": "l3"
  },
  "CAP_ffd1f4ee": {
   "en": "Phase Current Hard Limit",
   "zh": "相电流硬件硬限幅",
   "level": "l3"
  },
  "CAP_a07a5ad8": {
   "en": "Elastic Joint Dynamics Modeling",
   "zh": "弹性关节动力学建模",
   "level": "l2"
  },
  "CAP_b9b0d12a": {
   "en": "Joint Torsional Flexibility and Resonance Modeling",
   "zh": "关节扭转柔性与共振建模",
   "level": "l3"
  },
  "CAP_2db72319": {
   "en": "SEA Torque-Deflection Modeling",
   "zh": "SEA 力矩-形变建模",
   "level": "l3"
  },
  "CAP_6adca3c0": {
   "en": "Spong Reduced-Order Elastic Joint Model Formulation",
   "zh": "Spong 降阶弹性关节模型构建",
   "level": "l3"
  },
  "CAP_8d6dd201": {
   "en": "Joint Torque Feedback Inner Loop",
   "zh": "关节力矩反馈内环",
   "level": "l3"
  },
  "CAP_15a2e901": {
   "en": "Passivity Stability Proof",
   "zh": "被动性稳定性证明",
   "level": "l3"
  },
  "CAP_992e5d9b": {
   "en": "VSA Stiffness-Position Decoupled Dynamics Modeling",
   "zh": "VSA 刚度-位置解耦动力学建模",
   "level": "l3"
  },
  "CAP_da516042": {
   "en": "Structure-Controlled VSA Dynamics Modeling",
   "zh": "结构调节式 VSA 动力学建模",
   "level": "l3"
  },
  "CAP_7f20d4b2": {
   "en": "Antagonistic Co-contraction Stiffness Modulation",
   "zh": "拮抗共驱变刚度调制",
   "level": "l3"
  },
  "CAP_415c107d": {
   "en": "VSA Geometry Modeling",
   "zh": "VSA 几何建模",
   "level": "l3"
  },
  "CAP_ca861fd8": {
   "en": "VSA Torque-Stiffness Decoupling Control",
   "zh": "VSA 力矩-刚度解耦控制",
   "level": "l3"
  },
  "CAP_2fa117cc": {
   "en": "Actuator Non-ideal Parameter Identification",
   "zh": "执行器非理想参数辨识",
   "level": "l2"
  },
  "CAP_22872535": {
   "en": "Friction Data Acquisition",
   "zh": "摩擦数据采集",
   "level": "l3"
  },
  "CAP_7e9367f0": {
   "en": "Stribeck Static Parameter Identification",
   "zh": "Stribeck 静态参数辨识",
   "level": "l3"
  },
  "CAP_268e403b": {
   "en": "LuGre Dynamic Parameter Identification",
   "zh": "LuGre 动态参数辨识",
   "level": "l3"
  },
  "CAP_7516d286": {
   "en": "Actuator Inertia Identification",
   "zh": "执行器惯量辨识",
   "level": "l3"
  },
  "CAP_a47bf847": {
   "en": "Actuator Saturation Characterization",
   "zh": "执行器饱和特性表征",
   "level": "l3"
  },
  "CAP_81ff250b": {
   "en": "MCSA Motor Body Fault Detection",
   "zh": "电机本体故障MCSA检测",
   "level": "l2"
  },
  "CAP_0f233031": {
   "en": "Current Spectrum Analysis",
   "zh": "电流频谱分析",
   "level": "l3"
  },
  "CAP_f7ea16ff": {
   "en": "Fault Frequency Identification",
   "zh": "故障特征频率识别",
   "level": "l3"
  },
  "CAP_6a8e7c09": {
   "en": "Motor Fault Diagnosis",
   "zh": "电机故障诊断判定",
   "level": "l3"
  },
  "CAP_506efc16": {
   "en": "Fault Diagnosis Reporting",
   "zh": "故障诊断结果上报",
   "level": "l3"
  },
  "CAP_1b92c27b": {
   "en": "Inverter Switch Fault Detection",
   "zh": "逆变器开关故障检测",
   "level": "l2"
  },
  "CAP_94d0912a": {
   "en": "Three Phase Current Sampling",
   "zh": "三相电流采样与变换",
   "level": "l3"
  },
  "CAP_aa14e4dd": {
   "en": "Park Transform and Residual",
   "zh": "Park变换残差计算",
   "level": "l3"
  },
  "CAP_e07ce2f0": {
   "en": "Switch Fault Isolation",
   "zh": "开关管故障隔离",
   "level": "l3"
  },
  "CAP_d9299fb3": {
   "en": "Driver Hardware Protection",
   "zh": "驱动器硬件保护监测",
   "level": "l3"
  },
  "CAP_9f22fc2f": {
   "en": "Driver Fault Reporting",
   "zh": "驱动器故障上报与响应",
   "level": "l3"
  },
  "CAP_f7e5db82": {
   "en": "Joint Torque Loss Detection",
   "zh": "关节执行器扭矩损失检测",
   "level": "l2"
  },
  "CAP_e779f397": {
   "en": "Dynamics Model Prediction",
   "zh": "动力学模型扭矩预测",
   "level": "l3"
  },
  "CAP_4d099bcc": {
   "en": "Momentum Observer Residual",
   "zh": "广义动量观测器残差生成",
   "level": "l3"
  },
  "CAP_c50d1c55": {
   "en": "Joint Fault Isolation and Response",
   "zh": "关节故障隔离与安全响应",
   "level": "l3"
  },
  "CAP_db1e380e": {
   "en": "Actuator HAL Interface Definition",
   "zh": "执行器HAL接口定义",
   "level": "l2"
  },
  "CAP_faa805bf": {
   "en": "Hardware Component Lifecycle Management",
   "zh": "硬件组件生命周期管理",
   "level": "l3"
  },
  "CAP_94154186": {
   "en": "Actuator Control Mode Switch",
   "zh": "执行器控制模式切换",
   "level": "l3"
  },
  "CAP_3d62e314": {
   "en": "Actuator State Read",
   "zh": "执行器状态读取",
   "level": "l3"
  },
  "CAP_fc302610": {
   "en": "Actuator Command Write",
   "zh": "执行器命令写入",
   "level": "l3"
  },
  "CAP_6c05cd68": {
   "en": "Controller Chaining Coordination",
   "zh": "控制器链式协调",
   "level": "l3"
  },
  "CAP_db68e5ee": {
   "en": "Actuator Hardware Diagnostics",
   "zh": "执行器硬件诊断",
   "level": "l3"
  },
  "CAP_e4e0d9c6": {
   "en": "Firmware-Level Motor Abstraction",
   "zh": "固件层电机控制抽象",
   "level": "l2"
  },
  "CAP_7b5b2c9b": {
   "en": "Motor Phase Calibration",
   "zh": "电机相位校准",
   "level": "l3"
  },
  "CAP_793b281b": {
   "en": "Encoder Offset Calibration",
   "zh": "编码器偏移校准",
   "level": "l3"
  },
  "CAP_396e60e1": {
   "en": "Cascaded PID Motor Control",
   "zh": "级联PID电机控制",
   "level": "l3"
  },
  "CAP_ebc52e79": {
   "en": "Motor Control Mode Switching",
   "zh": "电机控制模式切换",
   "level": "l3"
  },
  "CAP_005b9c43": {
   "en": "Motor State Telemetry",
   "zh": "电机状态遥测",
   "level": "l3"
  },
  "CAP_9f628979": {
   "en": "Industrial Drive Profile Abstraction",
   "zh": "工业驱动协议抽象",
   "level": "l2"
  },
  "CAP_b6fae972": {
   "en": "PDS State Machine Management",
   "zh": "电源驱动系统状态机管理",
   "level": "l3"
  },
  "CAP_42ab85e2": {
   "en": "Cyclic Synchronous Position Control",
   "zh": "周期同步位置控制",
   "level": "l3"
  },
  "CAP_49c27c69": {
   "en": "Cyclic Synchronous Velocity Control",
   "zh": "周期同步速度控制",
   "level": "l3"
  },
  "CAP_4f57e3b1": {
   "en": "Cyclic Synchronous Torque Control",
   "zh": "周期同步力矩控制",
   "level": "l3"
  },
  "CAP_c1776b84": {
   "en": "MotorDriverInterfaceDeclaration",
   "zh": "电机驱动接口声明",
   "level": "l3"
  },
  "CAP_260b335f": {
   "en": "HardwareComponentClassDeclaration",
   "zh": "硬件组件类声明",
   "level": "l3"
  },
  "CAP_9abd8660": {
   "en": "ControllerLifecycleManagement",
   "zh": "控制器生命周期管理",
   "level": "l3"
  },
  "CAP_efd85bbd": {
   "en": "Physiological Signal Perception",
   "zh": "生理信号感知",
   "level": "l3"
  },
  "CAP_8af8e9e9": {
   "en": "LOA Switching Decision",
   "zh": "LOA 切换决策",
   "level": "l2"
  },
  "CAP_85cba976": {
   "en": "LOA Threshold Rule Evaluation",
   "zh": "LOA 阈值规则评估",
   "level": "l3"
  },
  "CAP_2d020899": {
   "en": "LOA Escalation",
   "zh": "LOA 提升",
   "level": "l3"
  },
  "CAP_c759897d": {
   "en": "LOA De-escalation",
   "zh": "LOA 降低",
   "level": "l3"
  },
  "CAP_21b8d218": {
   "en": "LOA Maintain",
   "zh": "LOA 维持",
   "level": "l3"
  },
  "CAP_556263d9": {
   "en": "LOA Switching Command Generation",
   "zh": "LOA 切换指令生成",
   "level": "l3"
  },
  "CAP_c6568d54": {
   "en": "Control Authority Transfer",
   "zh": "控制权转移",
   "level": "l2"
  },
  "CAP_66a152ac": {
   "en": "LOA Transfer Execution",
   "zh": "LOA 转移执行",
   "level": "l3"
  },
  "CAP_a43c96c3": {
   "en": "Post-Switch Monitoring",
   "zh": "切换后监控",
   "level": "l3"
  },
  "CAP_1f470be2": {
   "en": "Human Override Safety Gate",
   "zh": "人类覆写安全门",
   "level": "l3"
  },
  "CAP_4fc471f0": {
   "en": "Operator State Perception",
   "zh": "操作者状态感知",
   "level": "l2"
  },
  "CAP_1c3656dc": {
   "en": "Operator Capability Assessment",
   "zh": "操作者能力评估",
   "level": "l3"
  },
  "CAP_28a57124": {
   "en": "Human Intent Inference",
   "zh": "操作者意图推断",
   "level": "l3"
  },
  "CAP_700f7022": {
   "en": "Authority Blending Decision",
   "zh": "控制权混合决策",
   "level": "l2"
  },
  "CAP_c2290578": {
   "en": "Blending Weight Alpha Computation",
   "zh": "混合权重 Alpha 计算",
   "level": "l3"
  },
  "CAP_0763dfc3": {
   "en": "Policy Blending Fusion",
   "zh": "策略混合融合",
   "level": "l3"
  },
  "CAP_2d33ea0f": {
   "en": "Continuous Control Execution",
   "zh": "连续控制执行",
   "level": "l2"
  },
  "CAP_f21194f1": {
   "en": "Blended Control Actuation",
   "zh": "融合控制执行",
   "level": "l3"
  },
  "CAP_64a732ca": {
   "en": "Execution Status Monitoring",
   "zh": "执行状态监控",
   "level": "l3"
  },
  "CAP_a57bbacb": {
   "en": "Authority Re-evaluation",
   "zh": "控制权重评估",
   "level": "l3"
  },
  "CAP_e2f6b83e": {
   "en": "Behavior Performance Monitoring",
   "zh": "行为性能监测",
   "level": "l2"
  },
  "CAP_433e8555": {
   "en": "Task Performance Metrics Collection",
   "zh": "任务绩效指标采集",
   "level": "l3"
  },
  "CAP_2f0bc45a": {
   "en": "Novelty and Risk Assessment",
   "zh": "新奇性与风险评估",
   "level": "l3"
  },
  "CAP_443ae6e2": {
   "en": "Event Trigger Gating",
   "zh": "事件触发门控",
   "level": "l2"
  },
  "CAP_0b175a16": {
   "en": "Threshold Gating Decision",
   "zh": "阈值门控决策",
   "level": "l3"
  },
  "CAP_048b03e2": {
   "en": "Automation Invocation",
   "zh": "自动化调用",
   "level": "l3"
  },
  "CAP_e6173f9f": {
   "en": "Automation Revocation",
   "zh": "自动化撤销",
   "level": "l3"
  },
  "CAP_96869ffe": {
   "en": "Automation Maintain",
   "zh": "自动化维持",
   "level": "l3"
  },
  "CAP_837aa7f6": {
   "en": "Post-Transfer HMI Notification",
   "zh": "切换后 HMI 通知",
   "level": "l3"
  },
  "CAP_820cd5fc": {
   "en": "SA and Workload Re-evaluation",
   "zh": "SA 与负荷重评估",
   "level": "l3"
  },
  "CAP_7524845f": {
   "en": "MDP-POMDP State Space Construction",
   "zh": "MDP/POMDP 状态空间构建",
   "level": "l2"
  },
  "CAP_8e5a4040": {
   "en": "State Space Definition",
   "zh": "状态空间定义",
   "level": "l3"
  },
  "CAP_d1e90e61": {
   "en": "Reward Function Design",
   "zh": "奖励函数设计",
   "level": "l3"
  },
  "CAP_2eba333d": {
   "en": "Offline Policy Learning",
   "zh": "离线策略学习",
   "level": "l2"
  },
  "CAP_766686bd": {
   "en": "Offline Data Collection",
   "zh": "离线数据采集",
   "level": "l3"
  },
  "CAP_c6da8ea1": {
   "en": "Policy Evaluation",
   "zh": "策略评估",
   "level": "l3"
  },
  "CAP_0fe62a7a": {
   "en": "Online Policy Deployment",
   "zh": "在线策略部署",
   "level": "l2"
  },
  "CAP_f2e85487": {
   "en": "Online Policy Fine-tuning",
   "zh": "在线策略微调",
   "level": "l3"
  },
  "CAP_8713e589": {
   "en": "Cockpit Situation State Estimation",
   "zh": "座舱态势状态估计",
   "level": "l2"
  },
  "CAP_dc4cfa23": {
   "en": "Sensor Reliability Assessment",
   "zh": "传感器可靠性评估",
   "level": "l3"
  },
  "CAP_e32febe7": {
   "en": "Pilot Cognitive State Estimation",
   "zh": "飞行员认知状态估计",
   "level": "l3"
  },
  "CAP_6a624bd2": {
   "en": "Preference Learning and Decision",
   "zh": "偏好学习与决策",
   "level": "l2"
  },
  "CAP_a3edf5ae": {
   "en": "Soar Reinforcement Learning",
   "zh": "Soar 强化学习",
   "level": "l3"
  },
  "CAP_4ca2e28a": {
   "en": "Transparency Level Decision",
   "zh": "透明度级别决策",
   "level": "l3"
  },
  "CAP_0a9c792b": {
   "en": "Adaptive Transparency Display",
   "zh": "自适应透明度显示",
   "level": "l2"
  },
  "CAP_16ca37ec": {
   "en": "Adaptive Strategy Inference",
   "zh": "自适应策略推理",
   "level": "l3"
  },
  "CAP_08ca4a3e": {
   "en": "Information Bandwidth Management",
   "zh": "信息带宽管理",
   "level": "l3"
  },
  "CAP_38e53e5a": {
   "en": "Task-Specific Presentation",
   "zh": "任务专属呈现",
   "level": "l3"
  },
  "CAP_f2d0ace8": {
   "en": "Adaptive Modality Switching",
   "zh": "自适应模态切换",
   "level": "l3"
  },
  "CAP_70444981": {
   "en": "Alert Severity Indication",
   "zh": "告警严重度指示",
   "level": "l3"
  },
  "CAP_0c08f7b8": {
   "en": "Position Marker Deviation Display",
   "zh": "位置标记偏差展示",
   "level": "l3"
  },
  "CAP_aa20e1d8": {
   "en": "Closed-Loop Preference Feedback",
   "zh": "闭环偏好反馈",
   "level": "l2"
  },
  "CAP_eb440c6f": {
   "en": "Pilot Response Collection",
   "zh": "飞行员响应采集",
   "level": "l3"
  },
  "CAP_e8411b33": {
   "en": "Preference Model Incremental Update",
   "zh": "偏好模型增量更新",
   "level": "l3"
  },
  "CAP_69fe94e6": {
   "en": "Context Perception and Encoding",
   "zh": "上下文感知与编码",
   "level": "l2"
  },
  "CAP_c509f377": {
   "en": "Operator Cognitive State Acquisition",
   "zh": "操作者认知状态采集",
   "level": "l3"
  },
  "CAP_645d7e85": {
   "en": "Behavioral Context Structuring",
   "zh": "行为上下文结构化编码",
   "level": "l3"
  },
  "CAP_5c1dd00d": {
   "en": "LLM Prompt and Inference Orchestration",
   "zh": "LLM 提示构造与推理编排",
   "level": "l2"
  },
  "CAP_59631497": {
   "en": "LLM Prompt Construction",
   "zh": "LLM Prompt 构造",
   "level": "l3"
  },
  "CAP_621597d7": {
   "en": "LLM Strategy Inference",
   "zh": "LLM 策略推理",
   "level": "l3"
  },
  "CAP_fa8c6000": {
   "en": "Adaptive HMI Strategy Execution",
   "zh": "自适应 HMI 策略执行",
   "level": "l2"
  },
  "CAP_5fac9b6c": {
   "en": "Adaptive Strategy Parsing and Dispatch",
   "zh": "自适应策略解析与分发",
   "level": "l3"
  },
  "CAP_be042a80": {
   "en": "HMI Adaptive Rendering",
   "zh": "HMI 自适应渲染",
   "level": "l3"
  },
  "CAP_6be6e146": {
   "en": "Strategy Context Cache Management",
   "zh": "策略上下文缓存管理",
   "level": "l3"
  },
  "CAP_e5cac0ae": {
   "en": "Operator Response Evaluation",
   "zh": "操作者响应评估",
   "level": "l3"
  },
  "CAP_0d5860ba": {
   "en": "Policy Performance Online Monitoring",
   "zh": "策略性能在线监测",
   "level": "l2"
  },
  "CAP_1108210d": {
   "en": "Bootstrapped Policy Ensemble Deployment",
   "zh": "Bootstrapped 策略集成部署",
   "level": "l3"
  },
  "CAP_53ac6357": {
   "en": "Autonomy Switch Decision",
   "zh": "自主度切换决策",
   "level": "l3"
  },
  "CAP_2395203c": {
   "en": "Latent Visual Monitor Online Deviation Detection",
   "zh": "潜在视觉监视器在线偏离检测",
   "level": "l3"
  },
  "CAP_b450e2b1": {
   "en": "Event-Triggered Action Truncation",
   "zh": "事件触发式动作截断",
   "level": "l3"
  },
  "CAP_7dc24492": {
   "en": "Adaptive Action Horizon Maintenance",
   "zh": "自适应动作视界维持",
   "level": "l3"
  },
  "CAP_305b1f98": {
   "en": "Recovery and Autonomy Ramp-Up",
   "zh": "纠正恢复与自主度回升",
   "level": "l2"
  },
  "CAP_2366bdfe": {
   "en": "Online Gradient-Guided Replanning",
   "zh": "在线梯度引导重规划",
   "level": "l3"
  },
  "CAP_a0cb609a": {
   "en": "Post-Recovery Autonomy Ramp-Up Decision",
   "zh": "恢复后自主度回升决策",
   "level": "l3"
  },
  "CAP_dd313afa": {
   "en": "Voronoi Partition and Centroid",
   "zh": "Voronoi划分与质心计算",
   "level": "l2"
  },
  "CAP_4644d8fb": {
   "en": "Density Map Loading",
   "zh": "密度图加载",
   "level": "l3"
  },
  "CAP_0a851910": {
   "en": "Euclidean Voronoi Cell Computation",
   "zh": "欧氏Voronoi单元计算",
   "level": "l3"
  },
  "CAP_824cea7b": {
   "en": "Voronoi Centroid Integration",
   "zh": "Voronoi质心积分",
   "level": "l3"
  },
  "CAP_ddd670ff": {
   "en": "Lloyd Gradient Coverage Deployment",
   "zh": "Lloyd梯度覆盖部署",
   "level": "l2"
  },
  "CAP_082690d3": {
   "en": "Lloyd Gradient Control Law",
   "zh": "Lloyd梯度控制律",
   "level": "l3"
  },
  "CAP_6f23ecbd": {
   "en": "CVT Convergence Detection",
   "zh": "CVT收敛检测",
   "level": "l3"
  },
  "CAP_c72325a3": {
   "en": "Online Density Estimation",
   "zh": "在线密度估计",
   "level": "l2"
  },
  "CAP_9bfc5d1a": {
   "en": "Density Observation Sampling",
   "zh": "密度观测采集",
   "level": "l3"
  },
  "CAP_58ebecbd": {
   "en": "GP Density Regression",
   "zh": "GP密度回归",
   "level": "l3"
  },
  "CAP_2b378a86": {
   "en": "Adaptive Coupled Coverage Deployment",
   "zh": "自适应耦合覆盖部署",
   "level": "l2"
  },
  "CAP_0592d08a": {
   "en": "Joint Estimation-Control Convergence",
   "zh": "估计-控制联合收敛",
   "level": "l3"
  },
  "CAP_818eeec5": {
   "en": "Power Diagram Heterogeneous Partition",
   "zh": "Power Diagram异构划分",
   "level": "l2"
  },
  "CAP_fd2b685a": {
   "en": "Power Diagram Cell Computation",
   "zh": "Power Diagram单元计算",
   "level": "l3"
  },
  "CAP_cc021236": {
   "en": "Weighted Centroid Integration",
   "zh": "加权质心积分",
   "level": "l3"
  },
  "CAP_e4919081": {
   "en": "Heterogeneous Coverage Deployment",
   "zh": "异构覆盖部署",
   "level": "l2"
  },
  "CAP_27e41fc0": {
   "en": "Heterogeneous Weight Adaptation",
   "zh": "异构权重调节",
   "level": "l3"
  },
  "CAP_e694dbe9": {
   "en": "Load Balancing and Convergence",
   "zh": "负载均衡与收敛",
   "level": "l3"
  },
  "CAP_447c00a1": {
   "en": "Barrier-Safe Multi-robot Deployment",
   "zh": "Barrier安全多机器人部署",
   "level": "l3"
  },
  "CAP_daba9b8e": {
   "en": "Adaptive Coverage Path Planning",
   "zh": "自适应覆盖路径规划",
   "level": "l2"
  },
  "CAP_0db669e9": {
   "en": "Reactive Spiral Grid Filling",
   "zh": "反应式螺旋栅格填充",
   "level": "l3"
  },
  "CAP_975438f5": {
   "en": "Unvisited Grid Goal Extraction",
   "zh": "未访问栅格目标提取",
   "level": "l3"
  },
  "CAP_7a956193": {
   "en": "A Star Backtracking to Nearest Unvisited Region",
   "zh": "A*回溯到最近未访问区域",
   "level": "l3"
  },
  "CAP_347f38dc": {
   "en": "Spiral Backtrack Loop and Coverage Completeness",
   "zh": "螺旋-回溯循环与覆盖完整性判定",
   "level": "l3"
  },
  "CAP_27b3f447": {
   "en": "Coverage Path to PoseStamped and Move Base Publish",
   "zh": "覆盖路径转位姿与 Move Base 发布",
   "level": "l3"
  },
  "CAP_e4b0d5d3": {
   "en": "Moving Carrot Path Tracking",
   "zh": "移动前视点路径跟踪",
   "level": "l3"
  },
  "CAP_c8fe0a96": {
   "en": "Morse Function Selection and Scan Init",
   "zh": "Morse 函数选择与扫描初始化",
   "level": "l3"
  },
  "CAP_d41ec99f": {
   "en": "Online Morse Critical Point Sensing",
   "zh": "在线 Morse 临界点测距检测",
   "level": "l3"
  },
  "CAP_897cc970": {
   "en": "Critical Point Triggered Cell Transition",
   "zh": "临界点触发单元转移与重新分解",
   "level": "l3"
  },
  "CAP_eb7e8147": {
   "en": "Reeb Graph Traversal and Coverage Completeness",
   "zh": "Reeb 图遍历与覆盖完整性判定",
   "level": "l3"
  },
  "CAP_32017f39": {
   "en": "BINN Neuron Grid Initialization",
   "zh": "BINN 神经元网格初始化",
   "level": "l3"
  },
  "CAP_6043a15c": {
   "en": "BINN External Input Sensor Update",
   "zh": "BINN 外部输入传感器更新",
   "level": "l3"
  },
  "CAP_d47b0347": {
   "en": "BINN Shunting Equation Activity Evolution",
   "zh": "BINN 分流方程活性场演化",
   "level": "l3"
  },
  "CAP_755c75c2": {
   "en": "BINN Activity Gradient Max Selection",
   "zh": "BINN 活性梯度最大邻域选择",
   "level": "l3"
  },
  "CAP_2b5c5241": {
   "en": "BINN Concurrent Mapping and Coverage Loop",
   "zh": "BINN 并发建图与全覆盖循环",
   "level": "l3"
  },
  "CAP_d06b7a8e": {
   "en": "Boustrophedon Coverage Path Generation",
   "zh": "牛耕覆盖路径生成",
   "level": "l3"
  },
  "CAP_ecc4cff1": {
   "en": "Obstacle Map Inflation and Collision Check",
   "zh": "障碍物膨胀与碰撞检测",
   "level": "l3"
  },
  "CAP_820c752f": {
   "en": "Task Delegation Graph Definition",
   "zh": "任务委派图定义",
   "level": "l3"
  },
  "CAP_f8c3ea80": {
   "en": "Task Retry Configuration",
   "zh": "任务重试配置",
   "level": "l3"
  },
  "CAP_7eaebfa8": {
   "en": "State Retry Definition",
   "zh": "状态重试定义",
   "level": "l3"
  },
  "CAP_d34e7c49": {
   "en": "Activity Retry Policy Setup",
   "zh": "活动重试策略配置",
   "level": "l3"
  },
  "CAP_af0d5558": {
   "en": "Non-Retryable Error Type Declaration",
   "zh": "不可重试错误类型声明",
   "level": "l3"
  },
  "CAP_c5fafeee": {
   "en": "Exponential Backoff Retry",
   "zh": "指数退避重试",
   "level": "l3"
  },
  "CAP_e8581b3a": {
   "en": "Backoff Jitter Scheduling",
   "zh": "退避抖动调度",
   "level": "l3"
  },
  "CAP_1ebb9b5b": {
   "en": "Backup Agent Delegation Execution",
   "zh": "备份智能体委派执行",
   "level": "l3"
  },
  "CAP_b49a7be1": {
   "en": "Event-Sourced Execution Recovery",
   "zh": "事件溯源执行恢复",
   "level": "l3"
  },
  "CAP_308f06fc": {
   "en": "Trigger Rule Propagation",
   "zh": "触发规则传播",
   "level": "l3"
  },
  "CAP_1c6b9c6e": {
   "en": "Catch Fallback Transition",
   "zh": "捕获降级转换",
   "level": "l3"
  },
  "CAP_32773c31": {
   "en": "Saga Compensation Recovery",
   "zh": "Saga补偿恢复",
   "level": "l3"
  },
  "CAP_1b93ca33": {
   "en": "Agent Interrupt Handling",
   "zh": "Agent中断处理",
   "level": "l3"
  },
  "CAP_ca46b6a0": {
   "en": "Anticipatory Task Graph Recovery",
   "zh": "主动式任务图预期恢复",
   "level": "l2"
  },
  "CAP_b2bcb7e1": {
   "en": "Nominal Task Graph Construction",
   "zh": "名义任务图构建",
   "level": "l3"
  },
  "CAP_27e4ba5f": {
   "en": "Failure Anticipation And Recovery Branch Augmentation",
   "zh": "故障模式预期与恢复分支增补",
   "level": "l3"
  },
  "CAP_b86308fe": {
   "en": "Recovery Graph Compilation To Executable Program",
   "zh": "恢复图编译为可执行程序",
   "level": "l3"
  },
  "CAP_5ac9c4d1": {
   "en": "Compiled Monitor Deviation Detection",
   "zh": "编译监视器偏离检测",
   "level": "l3"
  },
  "CAP_b06641f0": {
   "en": "Pre-compiled Recovery Branch Instant Switching",
   "zh": "预编译恢复分支即时切换",
   "level": "l3"
  },
  "CAP_91235aab": {
   "en": "Model-Driven Multi-Agent Adaptive Redelegation",
   "zh": "模型驱动多智能体自适应重派",
   "level": "l2"
  },
  "CAP_4605dc6f": {
   "en": "Model-Based Speaker Selection",
   "zh": "模型驱动发言者选择",
   "level": "l3"
  },
  "CAP_65ab3f15": {
   "en": "Handoff Message Transfer Between Agents",
   "zh": "Agent间Handoff消息传递",
   "level": "l3"
  },
  "CAP_d3777b33": {
   "en": "Multi-Agent Team Termination Control",
   "zh": "多智能体团队终止控制",
   "level": "l3"
  },
  "CAP_95b04398": {
   "en": "Language Feedback Replanning Recovery",
   "zh": "语言反馈重规划恢复",
   "level": "l2"
  },
  "CAP_a24fe42a": {
   "en": "Memory-Augmented Actor Retry",
   "zh": "记忆增强Actor重试",
   "level": "l3"
  },
  "CAP_b67344cc": {
   "en": "Episodic Memory Buffer Accumulation",
   "zh": "情节记忆缓冲累积",
   "level": "l3"
  },
  "CAP_f379c4e8": {
   "en": "Self-Reflection Generation",
   "zh": "自我反思生成",
   "level": "l3"
  },
  "CAP_cc938987": {
   "en": "Incremental State Sensing",
   "zh": "增量状态感知",
   "level": "l2"
  },
  "CAP_e03c1c44": {
   "en": "Angular Acceleration Estimation from IMU",
   "zh": "IMU 角加速度估计",
   "level": "l3"
  },
  "CAP_52db7c07": {
   "en": "Control Effectiveness Identification",
   "zh": "控制有效性辨识",
   "level": "l3"
  },
  "CAP_40fc0512": {
   "en": "INDI Control Law Execution",
   "zh": "INDI 控制律执行",
   "level": "l2"
  },
  "CAP_31ae0e89": {
   "en": "Incremental Control Law Computation",
   "zh": "增量控制律计算",
   "level": "l3"
  },
  "CAP_dbfadef5": {
   "en": "Disturbance Rejection via Measurement Feedback",
   "zh": "测量反馈扰动抑制",
   "level": "l3"
  },
  "CAP_0718bd92": {
   "en": "Outer-Loop Position and Velocity INDI Extension",
   "zh": "外环位置与速度 INDI 扩展",
   "level": "l3"
  },
  "CAP_e663393a": {
   "en": "Disturbance Observer Based Estimation",
   "zh": "扰动观测器估计",
   "level": "l2"
  },
  "CAP_9792248d": {
   "en": "Nominal Rigid Body Dynamics Computation",
   "zh": "标称刚体动力学计算",
   "level": "l3"
  },
  "CAP_89f69853": {
   "en": "Nonlinear Disturbance Observer Construction",
   "zh": "非线性扰动观测器构造",
   "level": "l3"
  },
  "CAP_951885dc": {
   "en": "Observer Q Filter Bandwidth Tuning",
   "zh": "观测器 Q 滤波器带宽整定",
   "level": "l3"
  },
  "CAP_b7065955": {
   "en": "Disturbance Observer Based Compensation",
   "zh": "扰动观测器补偿",
   "level": "l2"
  },
  "CAP_0dc2010a": {
   "en": "External Force to Joint Torque Mapping",
   "zh": "外部力到关节力矩映射",
   "level": "l3"
  },
  "CAP_939b9353": {
   "en": "External Force Feedforward Injection",
   "zh": "外力前馈注入",
   "level": "l3"
  },
  "CAP_efddaf76": {
   "en": "Extended State Observer Based Estimation",
   "zh": "扩张状态观测器估计",
   "level": "l2"
  },
  "CAP_0c17d86c": {
   "en": "Augmented State System Formulation",
   "zh": "增广状态系统构建",
   "level": "l3"
  },
  "CAP_d893d802": {
   "en": "ESO Gain Bandwidth Parameterization",
   "zh": "ESO 增益带宽参数化",
   "level": "l3"
  },
  "CAP_d80aec59": {
   "en": "Total Disturbance Online Estimation",
   "zh": "总扰动在线估计",
   "level": "l3"
  },
  "CAP_322653db": {
   "en": "ADRC Total Disturbance Compensation",
   "zh": "ADRC 总扰动补偿",
   "level": "l2"
  },
  "CAP_77804e18": {
   "en": "Total Disturbance Feedforward Compensation",
   "zh": "总扰动前馈补偿",
   "level": "l3"
  },
  "CAP_b1c16b5c": {
   "en": "Nonlinear State Error Feedback",
   "zh": "非线性状态误差反馈",
   "level": "l3"
  },
  "CAP_1ce2450a": {
   "en": "L1 Adaptive Law and Filtering",
   "zh": "L1 自适应律与滤波",
   "level": "l2"
  },
  "CAP_fb6ae789": {
   "en": "Reference Model and Error Formulation",
   "zh": "参考模型与误差构建",
   "level": "l3"
  },
  "CAP_12d3bf6e": {
   "en": "L1 Adaptive Control Correction",
   "zh": "L1 自适应控制修正",
   "level": "l3"
  },
  "CAP_561cd9be": {
   "en": "Low Pass Filter Decoupling Design",
   "zh": "低通滤波解耦设计",
   "level": "l3"
  },
  "CAP_dd2ac89b": {
   "en": "L1 Control Signal Generation",
   "zh": "L1 控制信号生成",
   "level": "l2"
  },
  "CAP_1cc3645c": {
   "en": "Filtered Adaptive Signal Injection",
   "zh": "滤波自适应信号注入",
   "level": "l3"
  },
  "CAP_b474c8d7": {
   "en": "L1 Adaptive Baseline Augmentation",
   "zh": "L1 自适应基线增强",
   "level": "l3"
  },
  "CAP_89bfb9cf": {
   "en": "Innovation-Based Adaptive Covariance Fusion",
   "zh": "新息自适应协方差融合",
   "level": "l2"
  },
  "CAP_3f082e2c": {
   "en": "Local Innovation Computation",
   "zh": "本地创新计算",
   "level": "l3"
  },
  "CAP_114f0fc9": {
   "en": "NIS Chi-Square Anomaly Detection",
   "zh": "NIS卡方检验传感器异常检测",
   "level": "l3"
  },
  "CAP_315dd333": {
   "en": "Covariance Positive Definiteness Enforcement",
   "zh": "协方差正定性维护",
   "level": "l3"
  },
  "CAP_343972cf": {
   "en": "Adaptive Kalman Gain Computation",
   "zh": "自适应卡尔曼增益计算",
   "level": "l3"
  },
  "CAP_f7034185": {
   "en": "Kalman Gain Inverse-Covariance Weighting",
   "zh": "卡尔曼增益逆协方差加权",
   "level": "l3"
  },
  "CAP_54f35d91": {
   "en": "Kalman Measurement Update",
   "zh": "卡尔曼测量更新",
   "level": "l3"
  },
  "CAP_75b99303": {
   "en": "Linearized Covariance Predict",
   "zh": "线性化协方差预测",
   "level": "l3"
  },
  "CAP_f7f87a58": {
   "en": "Sage-Husa Online R Estimation",
   "zh": "Sage-Husa在线R估计",
   "level": "l3"
  },
  "CAP_188a2b4a": {
   "en": "KalmanFilterBufferInitialization",
   "zh": "卡尔曼滤波与缓冲区初始化",
   "level": "l3"
  },
  "CAP_b96f3be2": {
   "en": "Adaptive Variable Impedance Force Tracking",
   "zh": "自适应变阻抗力跟踪",
   "level": "l2"
  },
  "CAP_341a9f12": {
   "en": "Online Environment Stiffness Estimation",
   "zh": "环境刚度在线估计",
   "level": "l3"
  },
  "CAP_9d728275": {
   "en": "Time-Varying Impedance Control Law",
   "zh": "时变阻抗控制律",
   "level": "l3"
  },
  "CAP_5b6008d6": {
   "en": "Contact Detection and Force Sensing",
   "zh": "接触检测与力感知",
   "level": "l2"
  },
  "CAP_40ca1a8f": {
   "en": "External Force Measurement Acquisition",
   "zh": "外部力测量获取",
   "level": "l3"
  },
  "CAP_d8e7927d": {
   "en": "Force Tracking Execution and Monitoring",
   "zh": "力跟踪执行与监控",
   "level": "l2"
  },
  "CAP_3cf1ede7": {
   "en": "Force Feedback Monitoring",
   "zh": "力反馈监控",
   "level": "l3"
  },
  "CAP_89b2c3d4": {
   "en": "Online Surface Inclination Estimation",
   "zh": "曲面倾角在线估计",
   "level": "l3"
  },
  "CAP_e5f6a7b8": {
   "en": "Iterative Learning Control Law",
   "zh": "迭代学习控制律",
   "level": "l3"
  },
  "CAP_7beda236": {
   "en": "Hybrid Force-Position Curved Surface Tracking",
   "zh": "力/位混合曲面恒力跟踪",
   "level": "l2"
  },
  "CAP_d9f20037": {
   "en": "Learning Data Collection and Modeling",
   "zh": "学习型数据采集与建模",
   "level": "l2"
  },
  "CAP_a7c2e1f9": {
   "en": "Interaction and Demonstration Data Collection",
   "zh": "交互与示教数据采集",
   "level": "l3"
  },
  "CAP_c4d5f7a8": {
   "en": "Impedance Policy Optimization",
   "zh": "阻抗策略优化",
   "level": "l3"
  },
  "CAP_5e8c11c4": {
   "en": "Learning-Based Variable Stiffness Profile",
   "zh": "学习型变刚度曲线",
   "level": "l3"
  },
  "CAP_3e4f5a6b": {
   "en": "Learning-Based Robot Motion Execution",
   "zh": "学习型机器人运动执行",
   "level": "l3"
  },
  "CAP_75397417": {
   "en": "Force Control Parameter Configuration",
   "zh": "力控参数配置",
   "level": "l3"
  },
  "CAP_c6c2986d": {
   "en": "Force Control Execution and Monitoring",
   "zh": "力控执行与监控",
   "level": "l3"
  },
  "CAP_098cc028": {
   "en": "Consensus Adaptive Formation Control",
   "zh": "一致性自适应编队控制",
   "level": "l2"
  },
  "CAP_16dc0978": {
   "en": "Communication Graph Construction",
   "zh": "通信拓扑图构建",
   "level": "l3"
  },
  "CAP_388ca05f": {
   "en": "Formation Constraint Definition",
   "zh": "编队约束定义",
   "level": "l3"
  },
  "CAP_b7d3b319": {
   "en": "Distributed Neighbor State Estimation",
   "zh": "分布式邻居状态估计",
   "level": "l3"
  },
  "CAP_e2a96437": {
   "en": "Formation Error Computation",
   "zh": "编队误差计算",
   "level": "l3"
  },
  "CAP_d31ee0b2": {
   "en": "Adaptive Gain Tuning",
   "zh": "自适应增益整定",
   "level": "l3"
  },
  "CAP_9c1ae4b2": {
   "en": "Gradient Formation Control",
   "zh": "梯度编队控制",
   "level": "l3"
  },
  "CAP_7c546589": {
   "en": "Safety Barrier Projection",
   "zh": "安全屏障投影",
   "level": "l3"
  },
  "CAP_72b798bb": {
   "en": "Formation Convergence Detection",
   "zh": "编队收敛检测",
   "level": "l3"
  },
  "CAP_7f995486": {
   "en": "MPC Formation Planning",
   "zh": "基于MPC的编队规划",
   "level": "l2"
  },
  "CAP_5ff66516": {
   "en": "Environment Obstacle Modeling",
   "zh": "环境障碍物建模",
   "level": "l3"
  },
  "CAP_be455fb9": {
   "en": "Robot Dynamics Modeling",
   "zh": "机器人动力学建模",
   "level": "l3"
  },
  "CAP_f0c7cb88": {
   "en": "Formation Cost Encoding",
   "zh": "编队代价函数编码",
   "level": "l3"
  },
  "CAP_b8c8dd14": {
   "en": "Finite-Horizon Prediction",
   "zh": "有限时域状态预测",
   "level": "l3"
  },
  "CAP_987e71e6": {
   "en": "Belief Propagation Negotiation",
   "zh": "信念传播分布式协商",
   "level": "l3"
  },
  "CAP_2769f157": {
   "en": "MPC Optimization Solver",
   "zh": "MPC优化求解器",
   "level": "l3"
  },
  "CAP_217b3d5d": {
   "en": "MPC Control Execution",
   "zh": "MPC控制指令执行",
   "level": "l3"
  },
  "CAP_2b4d2646": {
   "en": "MPC Replanning Trigger",
   "zh": "MPC重规划触发",
   "level": "l3"
  },
  "CAP_b4956fcc": {
   "en": "Behavior-Based Adaptive Formation",
   "zh": "基于行为的自适应编队",
   "level": "l2"
  },
  "CAP_408ad0e4": {
   "en": "Formation Behavior Definition",
   "zh": "编队行为定义",
   "level": "l3"
  },
  "CAP_83f820c1": {
   "en": "Behavior Priority Assignment",
   "zh": "行为优先级分配",
   "level": "l3"
  },
  "CAP_966048f7": {
   "en": "Environment Context Evaluation",
   "zh": "环境上下文评估",
   "level": "l3"
  },
  "CAP_e360cbfb": {
   "en": "Adaptive Behavior Weighting",
   "zh": "自适应行为权重",
   "level": "l3"
  },
  "CAP_62016603": {
   "en": "Formation Shape Parameterization",
   "zh": "编队形状参数化",
   "level": "l3"
  },
  "CAP_fd760feb": {
   "en": "Null-Space Behavior Projection",
   "zh": "零空间行为投影",
   "level": "l3"
  },
  "CAP_196f94d9": {
   "en": "Behavior Fusion Execution",
   "zh": "行为融合执行",
   "level": "l3"
  },
  "CAP_b0fea43c": {
   "en": "MARL Adaptive Formation",
   "zh": "基于MARL的自适应编队",
   "level": "l2"
  },
  "CAP_20e82ff3": {
   "en": "Dec-POMDP Formation Modeling",
   "zh": "Dec-POMDP编队建模",
   "level": "l3"
  },
  "CAP_d8675bfa": {
   "en": "Multi-Agent Simulation Environment",
   "zh": "多智能体仿真环境",
   "level": "l3"
  },
  "CAP_45f0e8e2": {
   "en": "Formation Reward Design",
   "zh": "编队奖励函数设计",
   "level": "l3"
  },
  "CAP_ffd96f8e": {
   "en": "CTDE Policy Architecture",
   "zh": "CTDE策略网络架构",
   "level": "l3"
  },
  "CAP_9d4e51b8": {
   "en": "CTDE Training",
   "zh": "CTDE训练",
   "level": "l3"
  },
  "CAP_70c7c903": {
   "en": "MARL Training Convergence",
   "zh": "MARL训练收敛检测",
   "level": "l3"
  },
  "CAP_dc136f6a": {
   "en": "Distributed Policy Execution",
   "zh": "分布式策略执行",
   "level": "l3"
  },
  "CAP_7bb6ce5e": {
   "en": "Sim2Real Formation Transfer",
   "zh": "Sim2Real编队迁移",
   "level": "l3"
  },
  "CAP_53528514": {
   "en": "Six-Axis F/T Sensor Force Sensing",
   "zh": "六维力/力矩感知",
   "level": "l2"
  },
  "CAP_eec7f08b": {
   "en": "Grip Force PID Control",
   "zh": "夹持力 PID 控制",
   "level": "l2"
  },
  "CAP_4bca333e": {
   "en": "Visuo-Tactile Multi-Modal Perception",
   "zh": "触觉视觉多模态感知",
   "level": "l3"
  },
  "CAP_d9925ef0": {
   "en": "Tactile Marker Displacement Force Estimation",
   "zh": "触觉 Marker 位移受力估计",
   "level": "l3"
  },
  "CAP_cad7128f": {
   "en": "Incipient Slip Detection",
   "zh": "微滑移检测",
   "level": "l3"
  },
  "CAP_85463f69": {
   "en": "Force Control Policy Learning",
   "zh": "力控策略学习",
   "level": "l2"
  },
  "CAP_165bc956": {
   "en": "Force Feedback Reward Shaping",
   "zh": "力反馈奖励塑形",
   "level": "l3"
  },
  "CAP_543bc2cb": {
   "en": "Error-Driven Adaptive Impedance Control",
   "zh": "误差驱动自适应阻抗控制",
   "level": "l2"
  },
  "CAP_bca24abf": {
   "en": "Exoskeleton-Human Dynamics Modeling",
   "zh": "外骨骼-人体动力学建模",
   "level": "l3"
  },
  "CAP_0a8f0351": {
   "en": "Joint State Acquisition & Filtering",
   "zh": "关节状态采集与滤波",
   "level": "l3"
  },
  "CAP_92fbca75": {
   "en": "Reference Trajectory Generation",
   "zh": "参考轨迹生成",
   "level": "l3"
  },
  "CAP_1a2b3c4d": {
   "en": "Trajectory Tracking Error Computation",
   "zh": "轨迹跟踪误差计算",
   "level": "l3"
  },
  "CAP_bcfd498b": {
   "en": "Interaction Force Error Computation",
   "zh": "交互力误差计算",
   "level": "l3"
  },
  "CAP_593b55d7": {
   "en": "MRAC-Based Impedance Adaptation",
   "zh": "模型参考自适应阻抗",
   "level": "l3"
  },
  "CAP_0a7bc3e2": {
   "en": "Gradient-Based Impedance Adaptation",
   "zh": "梯度下降阻抗自适应",
   "level": "l3"
  },
  "CAP_8caffee9": {
   "en": "UDE-Based Impedance Compensation",
   "zh": "未知动力学估计器阻抗补偿",
   "level": "l3"
  },
  "CAP_27cbfa97": {
   "en": "Adaptive Gain Computation",
   "zh": "自适应增益计算",
   "level": "l3"
  },
  "CAP_40fc082f": {
   "en": "Impedance Parameter Safety Clamping",
   "zh": "阻抗参数安全限幅",
   "level": "l3"
  },
  "CAP_abaf1aca": {
   "en": "Dynamics Feedforward Compensation",
   "zh": "动力学前馈补偿",
   "level": "l3"
  },
  "CAP_a3bb1816": {
   "en": "Joint Torque Command Dispatch",
   "zh": "关节力矩指令下发",
   "level": "l3"
  },
  "CAP_41503cbb": {
   "en": "Learning-Based Impedance Policy Optimization",
   "zh": "学习型阻抗策略优化",
   "level": "l2"
  },
  "CAP_beb71b83": {
   "en": "Interaction Data Collection",
   "zh": "交互数据采集",
   "level": "l3"
  },
  "CAP_d34829cb": {
   "en": "Feature Engineering for Impedance Learning",
   "zh": "阻抗学习特征工程",
   "level": "l3"
  },
  "CAP_4c1cf334": {
   "en": "Data Normalization & Replay Buffer",
   "zh": "数据归一化与重放缓冲区",
   "level": "l3"
  },
  "CAP_46f8cecf": {
   "en": "Policy Parameterization",
   "zh": "策略参数化",
   "level": "l3"
  },
  "CAP_3a8abf00": {
   "en": "PI2-Based Impedance Policy Learning",
   "zh": "PI2 阻抗策略学习",
   "level": "l3"
  },
  "CAP_36309f5d": {
   "en": "DRL-Based Virtual Impedance Adaptation",
   "zh": "深度强化学习虚拟阻抗自适应",
   "level": "l3"
  },
  "CAP_36b3d43c": {
   "en": "ILC-Based Impedance Trajectory Optimization",
   "zh": "迭代学习阻抗轨迹优化",
   "level": "l3"
  },
  "CAP_af8a07ec": {
   "en": "LfD-Based Variable Impedance Learning",
   "zh": "示教学习变阻抗",
   "level": "l3"
  },
  "CAP_42b9b06e": {
   "en": "Convergence Detection & Early Stopping",
   "zh": "收敛检测与早停",
   "level": "l3"
  },
  "CAP_2c6437c5": {
   "en": "Policy Model Export",
   "zh": "策略模型导出",
   "level": "l3"
  },
  "CAP_7350d9d4": {
   "en": "Impedance Policy Online Inference",
   "zh": "阻抗策略在线推理",
   "level": "l3"
  },
  "CAP_62b9b511": {
   "en": "Bio-Signal-Driven Impedance Modulation",
   "zh": "生物信号驱动阻抗调制",
   "level": "l2"
  },
  "CAP_83b0d789": {
   "en": "Hill Muscle Model Stiffness Estimation",
   "zh": "Hill 肌肉模型刚度估计",
   "level": "l3"
  },
  "CAP_50b886be": {
   "en": "Joint Stiffness Synthesis from Muscles",
   "zh": "多肌肉关节刚度合成",
   "level": "l3"
  },
  "CAP_482267bc": {
   "en": "Stiffness Transfer Law Mapping",
   "zh": "刚度迁移律映射",
   "level": "l3"
  },
  "CAP_2ee1fe48": {
   "en": "Damping Parameter Coupling",
   "zh": "阻尼参数耦合",
   "level": "l3"
  },
  "CAP_8e450f6c": {
   "en": "Bio-Signal Impedance Smoothing",
   "zh": "生物信号阻抗平滑",
   "level": "l3"
  },
  "CAP_9df68b95": {
   "en": "Incremental Heuristic Replanning",
   "zh": "增量启发式重规划",
   "level": "l2"
  },
  "CAP_802435d3": {
   "en": "D* Lite Grid Map Construction",
   "zh": "D* Lite 栅格地图构建",
   "level": "l3"
  },
  "CAP_36750afe": {
   "en": "D* Lite Shortest Path Computation",
   "zh": "D* Lite 最短路径计算",
   "level": "l3"
  },
  "CAP_59c840a5": {
   "en": "D* Lite Path Extraction",
   "zh": "D* Lite 路径提取",
   "level": "l3"
  },
  "CAP_f062def6": {
   "en": "D* Lite Edge Cost Change Detection",
   "zh": "D* Lite 边代价变化检测",
   "level": "l3"
  },
  "CAP_e9d4c575": {
   "en": "D* Lite Incremental Update",
   "zh": "D* Lite 增量更新",
   "level": "l3"
  },
  "CAP_7eb85b21": {
   "en": "Behavior-Tree-Orchestrated Replanning",
   "zh": "行为树编排重规划",
   "level": "l2"
  },
  "CAP_dc3d0868": {
   "en": "Costmap Layered Update",
   "zh": "代价地图分层更新",
   "level": "l3"
  },
  "CAP_31f6e524": {
   "en": "BT Path Validity Check",
   "zh": "BT 路径有效性检查",
   "level": "l3"
  },
  "CAP_21a811f5": {
   "en": "BT Global Replan Trigger",
   "zh": "BT 全局重规划触发",
   "level": "l3"
  },
  "CAP_d60c5e39": {
   "en": "BT Recovery Orchestration",
   "zh": "BT 恢复行为编排",
   "level": "l3"
  },
  "CAP_5d5c8469": {
   "en": "Costmap Clear",
   "zh": "代价地图清除",
   "level": "l3"
  },
  "CAP_e6a2a563": {
   "en": "Optimization-Based Real-Time Trajectory Replanning",
   "zh": "优化驱动实时轨迹重规划",
   "level": "l2"
  },
  "CAP_10e5b57e": {
   "en": "TEB g2o Graph Optimization",
   "zh": "TEB g2o 图优化",
   "level": "l3"
  },
  "CAP_fb4df9ce": {
   "en": "MPPI Sampling Optimization",
   "zh": "MPPI 随机采样优化",
   "level": "l3"
  },
  "CAP_f3d04c9d": {
   "en": "Trajectory Obstacle Cost Evaluation",
   "zh": "轨迹障碍物代价评估",
   "level": "l3"
  },
  "CAP_6316a58d": {
   "en": "Trajectory Kinodynamic Constraint",
   "zh": "轨迹运动学约束",
   "level": "l3"
  },
  "CAP_8bd66d7c": {
   "en": "Velocity Command Extraction",
   "zh": "速度指令提取与平滑",
   "level": "l3"
  },
  "CAP_ad4cb76f": {
   "en": "HeuristicDistanceInitialization",
   "zh": "启发式距离初始化",
   "level": "l3"
  },
  "CAP_25645bc6": {
   "en": "Symbolic Plan Execution and Monitoring",
   "zh": "符号化计划执行与监控",
   "level": "l2"
  },
  "CAP_46110c86": {
   "en": "PDDL Domain Modeling",
   "zh": "PDDL领域建模",
   "level": "l3"
  },
  "CAP_15c12fdf": {
   "en": "Behavior Tree Action Execution",
   "zh": "行为树动作执行",
   "level": "l3"
  },
  "CAP_82a1d1a3": {
   "en": "Execution State Monitoring",
   "zh": "执行状态监控",
   "level": "l3"
  },
  "CAP_a7e66b4f": {
   "en": "Replanning Trigger Decision",
   "zh": "重规划触发决策",
   "level": "l3"
  },
  "CAP_2267309d": {
   "en": "LLM Closed-Loop Adaptive Planning",
   "zh": "LLM闭环自适应规划",
   "level": "l2"
  },
  "CAP_939a76c5": {
   "en": "LLM Task Plan Generation",
   "zh": "LLM任务计划生成",
   "level": "l3"
  },
  "CAP_8193c4d9": {
   "en": "Multi-Source Feedback Collection",
   "zh": "多源反馈收集",
   "level": "l3"
  },
  "CAP_f948e9f3": {
   "en": "LLM Prompt-Based Replanning",
   "zh": "LLM Prompt驱动重规划",
   "level": "l3"
  },
  "CAP_1a0799c9": {
   "en": "LLM Reasoning Trace Maintenance",
   "zh": "LLM推理轨迹维护",
   "level": "l3"
  },
  "CAP_af9e3005": {
   "en": "Receding-Horizon Task-Level Adaptive Decision Making",
   "zh": "滚动时域任务级自适应决策",
   "level": "l2"
  },
  "CAP_85e6f09d": {
   "en": "Latent World Model Encoding",
   "zh": "潜在世界模型编码",
   "level": "l3"
  },
  "CAP_36d8ef86": {
   "en": "Latent Rollout Prediction",
   "zh": "潜在状态前向模拟",
   "level": "l3"
  },
  "CAP_9f4c70db": {
   "en": "Task-Level MPPI Sampling",
   "zh": "任务级MPPI采样",
   "level": "l3"
  },
  "CAP_d49035d4": {
   "en": "Frontier Value Optimization",
   "zh": "前沿价值优化",
   "level": "l3"
  },
  "CAP_07447fd6": {
   "en": "Horizon Shift Update",
   "zh": "滚动时域更新",
   "level": "l3"
  },
  "CAP_fe7fd1ae": {
   "en": "Deviation Detection and Replanning Trigger",
   "zh": "偏差检测与重规划触发",
   "level": "l3"
  },
  "CAP_285aa714": {
   "en": "Saliency-Foveated Perception Pipeline",
   "zh": "显著性驱动变分辨率感知流水线",
   "level": "l2"
  },
  "CAP_7a0db8b2": {
   "en": "Global Low-Resolution Feature Extraction",
   "zh": "全局低分辨率特征提取",
   "level": "l3"
  },
  "CAP_cdbd542b": {
   "en": "Saliency-Driven Region Proposal",
   "zh": "显著性驱动候选区域生成",
   "level": "l3"
  },
  "CAP_4036c66b": {
   "en": "ROI High-Resolution Feature Extraction",
   "zh": "候选区域高分辨率特征提取",
   "level": "l3"
  },
  "CAP_c44760df": {
   "en": "High-Resolution Perception Inference",
   "zh": "高分辨率感知推理",
   "level": "l3"
  },
  "CAP_5a3314fa": {
   "en": "Multi-Resolution Map Management",
   "zh": "多分辨率地图管理",
   "level": "l2"
  },
  "CAP_672231cc": {
   "en": "Multi-Resolution Octree Occupancy Update",
   "zh": "多分辨率八叉树占用更新",
   "level": "l3"
  },
  "CAP_b897a8e4": {
   "en": "Adaptive Resolution Pruning",
   "zh": "自适应分辨率剪枝",
   "level": "l3"
  },
  "CAP_8367897e": {
   "en": "Multi-Resolution Spatial Query",
   "zh": "多分辨率空间查询",
   "level": "l3"
  },
  "CAP_8dd2cd70": {
   "en": "Octree Serialization",
   "zh": "八叉树序列化",
   "level": "l3"
  },
  "CAP_37891cce": {
   "en": "Adaptive Sensor Sampling Control",
   "zh": "自适应传感器采样率控制",
   "level": "l2"
  },
  "CAP_049029b3": {
   "en": "Perception Importance Assessment",
   "zh": "感知重要性评估",
   "level": "l3"
  },
  "CAP_44a98c21": {
   "en": "Sensor Parameter Decision",
   "zh": "传感器参数决策",
   "level": "l3"
  },
  "CAP_346072b8": {
   "en": "Sensor Parameter Dispatch",
   "zh": "传感器参数下发执行",
   "level": "l3"
  },
  "CAP_543716b9": {
   "en": "Multi-Resolution Data Fusion",
   "zh": "多分辨率数据融合",
   "level": "l3"
  },
  "CAP_3db1cf6c": {
   "en": "Task-Driven Perception Budget Allocation",
   "zh": "任务驱动感知预算分配",
   "level": "l2"
  },
  "CAP_102eabb5": {
   "en": "Task Requirement Modeling",
   "zh": "任务需求建模",
   "level": "l3"
  },
  "CAP_04a07c5c": {
   "en": "Computational Budget Assessment",
   "zh": "计算资源预算评估",
   "level": "l3"
  },
  "CAP_98be855a": {
   "en": "Perception Budget Optimization",
   "zh": "感知预算优化分配",
   "level": "l3"
  },
  "CAP_01896eff": {
   "en": "Model Configuration Switch",
   "zh": "模型配置切换执行",
   "level": "l3"
  },
  "CAP_89debeab": {
   "en": "PointCloudPreprocessing",
   "zh": "点云预处理",
   "level": "l3"
  },
  "CAP_d4a10000": {
   "en": "HTN Task Decomposition",
   "zh": "HTN任务分解",
   "level": "l2"
  },
  "CAP_b6d34025": {
   "en": "Task Network Parsing",
   "zh": "任务网络解析",
   "level": "l3"
  },
  "CAP_5a518e14": {
   "en": "HTN Method Selection",
   "zh": "HTN方法选择",
   "level": "l3"
  },
  "CAP_ff99bfe4": {
   "en": "Hierarchical Role Assignment via HTN",
   "zh": "HTN层次角色分配",
   "level": "l2"
  },
  "CAP_b67fb13b": {
   "en": "Compound Task Expansion",
   "zh": "复合任务展开",
   "level": "l3"
  },
  "CAP_a47c52f4": {
   "en": "Supervisor-Worker Role Binding",
   "zh": "监督者-执行者角色绑定",
   "level": "l3"
  },
  "CAP_b786607e": {
   "en": "Role Hierarchy Graph Construction",
   "zh": "角色层次图构建",
   "level": "l3"
  },
  "CAP_6a7e03b3": {
   "en": "Plan Execution Supervision",
   "zh": "计划执行监督",
   "level": "l2"
  },
  "CAP_eb55e5a8": {
   "en": "Subtask Status Monitoring",
   "zh": "子任务状态监控",
   "level": "l3"
  },
  "CAP_23e8eef0": {
   "en": "Method Precondition Checking",
   "zh": "方法前提条件评估",
   "level": "l3"
  },
  "CAP_880a9b0c": {
   "en": "Adaptive HTN Replanning",
   "zh": "自适应HTN重规划",
   "level": "l2"
  },
  "CAP_0260e712": {
   "en": "Failure Point Backtracking",
   "zh": "失败点回溯",
   "level": "l3"
  },
  "CAP_2a28e39a": {
   "en": "Role Hierarchy Reassignment",
   "zh": "角色层次重排",
   "level": "l3"
  },
  "CAP_6c808265": {
   "en": "CBBA Auction-Based Task Allocation",
   "zh": "CBBA拍卖任务分配",
   "level": "l2"
  },
  "CAP_855565f6": {
   "en": "Task List Perception",
   "zh": "任务列表感知",
   "level": "l3"
  },
  "CAP_88ca84c2": {
   "en": "Task Bid Computation",
   "zh": "任务出价计算",
   "level": "l3"
  },
  "CAP_1a701601": {
   "en": "Greedy Bundle Construction",
   "zh": "贪心捆绑包构建",
   "level": "l3"
  },
  "CAP_775a9a83": {
   "en": "Marginal Gain Computation",
   "zh": "边际收益计算",
   "level": "l3"
  },
  "CAP_fb4bc9a5": {
   "en": "Bid-Strength Leader Emergence",
   "zh": "竞价强度领导者涌现",
   "level": "l3"
  },
  "CAP_28a1d045": {
   "en": "CBBA Consensus Conflict Resolution",
   "zh": "CBBA共识消解",
   "level": "l2"
  },
  "CAP_4800f33c": {
   "en": "Neighbor Triplet Exchange",
   "zh": "邻居三元组交换",
   "level": "l3"
  },
  "CAP_6e08eea2": {
   "en": "Timestamp-Based Consensus Arbitration",
   "zh": "基于时间戳的共识仲裁",
   "level": "l3"
  },
  "CAP_f8ff5efa": {
   "en": "Cascading Bundle Release",
   "zh": "连锁弃单与捆绑包重构",
   "level": "l3"
  },
  "CAP_25d557eb": {
   "en": "CBBA Dynamic Reallocation",
   "zh": "CBBA动态重分配",
   "level": "l2"
  },
  "CAP_be1a4681": {
   "en": "Reauction Trigger Detection",
   "zh": "重拍卖触发检测",
   "level": "l3"
  },
  "CAP_9a483d8e": {
   "en": "Reauction-Driven Leader Redistribution",
   "zh": "重拍卖驱动的领导者再分布",
   "level": "l3"
  },
  "CAP_ba753b74": {
   "en": "LLM Scene Text Representation",
   "zh": "LLM场景文本表示",
   "level": "l2"
  },
  "CAP_214beaa3": {
   "en": "Scene Text Encoding",
   "zh": "场景文本编码",
   "level": "l3"
  },
  "CAP_bafe2eca": {
   "en": "Agent Prompt Building",
   "zh": "代理提示构建",
   "level": "l3"
  },
  "CAP_5c7758f2": {
   "en": "Multi-Agent Dialogue Management",
   "zh": "多智能体对话管理",
   "level": "l3"
  },
  "CAP_b1cb5e7e": {
   "en": "Role Negotiation Debate",
   "zh": "角色协商辩论",
   "level": "l3"
  },
  "CAP_88d14c5d": {
   "en": "LLM Plan and Role Hierarchy Extraction",
   "zh": "LLM 计划与角色层次提取",
   "level": "l3"
  },
  "CAP_ff85adbd": {
   "en": "LLM Environmental Feedback Adaptation",
   "zh": "LLM环境反馈自适应",
   "level": "l2"
  },
  "CAP_b673d430": {
   "en": "Physical Feasibility Checking",
   "zh": "物理可行性检查",
   "level": "l3"
  },
  "CAP_b9886c35": {
   "en": "Collision Feedback Translation",
   "zh": "碰撞反馈文本化",
   "level": "l3"
  },
  "CAP_e6b41058": {
   "en": "Debate Replan Triggering",
   "zh": "重辩论触发",
   "level": "l3"
  },
  "CAP_31bbb1c4": {
   "en": "LLM Meta-Learning Role Optimization",
   "zh": "LLM元学习角色优化",
   "level": "l2"
  },
  "CAP_9615eadb": {
   "en": "Role Effect Evaluation",
   "zh": "角色效果评估",
   "level": "l3"
  },
  "CAP_46d78f2d": {
   "en": "LLM Meta-Learning Role Adaptation",
   "zh": "LLM元学习角色自适应",
   "level": "l3"
  },
  "CAP_73017e5c": {
   "en": "Online Role Hierarchy Update",
   "zh": "在线角色层次更新",
   "level": "l3"
  },
  "CAP_0c35f793": {
   "en": "Multimodal Sensor Calibration & Sync",
   "zh": "多模态传感器标定与同步",
   "level": "l3"
  },
  "CAP_3e23de51": {
   "en": "Single-Modal Sensor Feature Extraction",
   "zh": "单模态传感器特征提取",
   "level": "l3"
  },
  "CAP_be868fd1": {
   "en": "Entropy-Driven Adaptive Sensor Fusion",
   "zh": "熵驱动自适应传感器融合",
   "level": "l2"
  },
  "CAP_38dad3ce": {
   "en": "Per-Modal Measurement Entropy Computation",
   "zh": "逐模态测量熵计算",
   "level": "l3"
  },
  "CAP_536f2897": {
   "en": "Entropy-Weighted Feature Concatenation",
   "zh": "熵加权特征拼接融合",
   "level": "l3"
  },
  "CAP_e564cf6a": {
   "en": "Adverse Weather 3D Detection Head",
   "zh": "恶劣天气3D检测头",
   "level": "l3"
  },
  "CAP_8608a871": {
   "en": "Info Gain Objective Function Definition",
   "zh": "信息增益目标函数定义",
   "level": "l3"
  },
  "CAP_c1499fa7": {
   "en": "Per-Sensor Marginal Info Gain Estimation",
   "zh": "逐传感器边际信息增益估计",
   "level": "l3"
  },
  "CAP_6c6d7f14": {
   "en": "Greedy Sensor Selection with Constraints",
   "zh": "约束贪心传感器选择算法",
   "level": "l3"
  },
  "CAP_f39575f0": {
   "en": "Sensor Activation and Data Routing",
   "zh": "传感器激活与数据路由",
   "level": "l3"
  },
  "CAP_a0ba574f": {
   "en": "EKF State Vector Definition with Sensor Models",
   "zh": "EKF状态向量与传感器测量模型定义",
   "level": "l3"
  },
  "CAP_d6de02f1": {
   "en": "Online Measurement Noise Covariance Estimation",
   "zh": "在线测量噪声协方差估计",
   "level": "l3"
  },
  "CAP_4a81af36": {
   "en": "Kalman Gain Update with Adaptive Covariance",
   "zh": "自适应协方差Kalman增益更新",
   "level": "l3"
  },
  "CAP_00ea199a": {
   "en": "Utility-based Behavior Selection",
   "zh": "基于效用的行为选择",
   "level": "l2"
  },
  "CAP_9afc4c20": {
   "en": "IvP Behavior Configuration",
   "zh": "IvP 行为配置",
   "level": "l3"
  },
  "CAP_ac4c5b7d": {
   "en": "IvP Objective Function Construction",
   "zh": "IvP 目标函数构造",
   "level": "l3"
  },
  "CAP_875639ee": {
   "en": "IvP Convex Combination Solving",
   "zh": "IvP 凸组合求解",
   "level": "l3"
  },
  "CAP_935aaee5": {
   "en": "Behavior Decision Publication",
   "zh": "行为决策发布",
   "level": "l3"
  },
  "CAP_32c0f991": {
   "en": "POMDP Generative Model Specification",
   "zh": "POMDP 生成模型规约",
   "level": "l3"
  },
  "CAP_94eeae7c": {
   "en": "EFE Policy Selection",
   "zh": "EFE 策略选择",
   "level": "l3"
  },
  "CAP_ca47c9e1": {
   "en": "Fiedler Eigenvalue Connectivity Control",
   "zh": "Fiedler 特征值连通性控制",
   "level": "l2"
  },
  "CAP_f9c81d28": {
   "en": "Decentralized Fiedler Eigenvalue Estimation",
   "zh": "分布式 Fiedler 特征值估计",
   "level": "l3"
  },
  "CAP_7860ddfd": {
   "en": "Connectivity Gradient Computation",
   "zh": "连通性梯度计算",
   "level": "l3"
  },
  "CAP_548d2bb0": {
   "en": "Connectivity Potential Gradient Control",
   "zh": "连通性势函数梯度控制",
   "level": "l3"
  },
  "CAP_116307c0": {
   "en": "Energy Tank Passivity Regulation",
   "zh": "能量罐无源性调节",
   "level": "l3"
  },
  "CAP_6d89dde6": {
   "en": "K-Connectivity Preservation",
   "zh": "K-连通性保持",
   "level": "l3"
  },
  "CAP_704606b5": {
   "en": "Link Quality-aware Topology Reconfiguration",
   "zh": "链路质量感知拓扑重构",
   "level": "l2"
  },
  "CAP_c03131a8": {
   "en": "RSSI/SNR Measurement Collection",
   "zh": "RSSI/SNR 测量采集",
   "level": "l3"
  },
  "CAP_545fac0e": {
   "en": "Link Quality Metric Computation",
   "zh": "链路质量度量计算",
   "level": "l3"
  },
  "CAP_ab47dc08": {
   "en": "Link Quality Time Series Prediction",
   "zh": "链路质量时序预测",
   "level": "l3"
  },
  "CAP_91be206f": {
   "en": "Link Degradation Risk Assessment",
   "zh": "链路退化风险评估",
   "level": "l3"
  },
  "CAP_45e674f6": {
   "en": "Adjacency Adjustment Decision",
   "zh": "邻接关系调整决策",
   "level": "l3"
  },
  "CAP_3adcff1a": {
   "en": "Transmission Power Adaptation",
   "zh": "传输功率自适应调整",
   "level": "l3"
  },
  "CAP_8e7e1249": {
   "en": "Topology Reconfiguration Execution",
   "zh": "拓扑重构执行",
   "level": "l3"
  },
  "CAP_6d9e4712": {
   "en": "Reconfiguration Effect Verification",
   "zh": "重构效果验证",
   "level": "l3"
  },
  "CAP_822d9cd3": {
   "en": "Hierarchical Cluster-based Topology Management",
   "zh": "层次分簇拓扑管理",
   "level": "l2"
  },
  "CAP_4d1ae05d": {
   "en": "Node State Information Collection",
   "zh": "节点状态信息采集",
   "level": "l3"
  },
  "CAP_79893d85": {
   "en": "Weighted Cluster Head Election",
   "zh": "加权簇头选举",
   "level": "l3"
  },
  "CAP_e493fc6f": {
   "en": "Cluster Formation and Member Joining",
   "zh": "簇形成与成员加入",
   "level": "l3"
  },
  "CAP_c568ae42": {
   "en": "Inter-Cluster Backbone Formation",
   "zh": "簇间骨干网形成",
   "level": "l3"
  },
  "CAP_9b336b4e": {
   "en": "Cluster Head Re-election",
   "zh": "簇头重选",
   "level": "l3"
  },
  "CAP_eb7a1d5a": {
   "en": "Cluster Merge and Split",
   "zh": "簇合并与分裂",
   "level": "l3"
  },
  "CAP_8a5f3d84": {
   "en": "Intra-Cluster TDMA Scheduling",
   "zh": "簇内 TDMA 调度",
   "level": "l3"
  },
  "CAP_eb2da09e": {
   "en": "Inter-Cluster Hierarchical Routing",
   "zh": "簇间层次路由",
   "level": "l3"
  },
  "CAP_b4963e1d": {
   "en": "Trust State Assessment",
   "zh": "信任状态评估",
   "level": "l2"
  },
  "CAP_e9912b44": {
   "en": "Trust State Acquisition",
   "zh": "信任状态获取",
   "level": "l3"
  },
  "CAP_38c08d05": {
   "en": "Task Context Profiling",
   "zh": "任务上下文分析",
   "level": "l3"
  },
  "CAP_b02b43fc": {
   "en": "Trust State Classification",
   "zh": "信任状态分类",
   "level": "l3"
  },
  "CAP_57469719": {
   "en": "Calibration Rule Engine",
   "zh": "校准规则引擎",
   "level": "l2"
  },
  "CAP_f4213803": {
   "en": "Trust Dampening Strategy Selection",
   "zh": "信任抑制策略选择",
   "level": "l3"
  },
  "CAP_305f5dfb": {
   "en": "Trust Promoting Strategy Selection",
   "zh": "信任提升策略选择",
   "level": "l3"
  },
  "CAP_6ee4c755": {
   "en": "Calibration Intervention Execution",
   "zh": "校准干预执行",
   "level": "l2"
  },
  "CAP_8615aa3f": {
   "en": "Cognitive Forcing Intervention",
   "zh": "认知强迫干预",
   "level": "l3"
  },
  "CAP_dc75836e": {
   "en": "Uncertainty Information Display",
   "zh": "不确定性信息展示",
   "level": "l3"
  },
  "CAP_7d475384": {
   "en": "SAT-Based Transparency Adjustment",
   "zh": "基于SAT的透明度调整",
   "level": "l3"
  },
  "CAP_e6faa926": {
   "en": "Trust Repair Apology Protocol",
   "zh": "信任修复道歉协议",
   "level": "l3"
  },
  "CAP_d708d638": {
   "en": "Adaptive Recalibration Trigger",
   "zh": "自适应再校准触发",
   "level": "l3"
  },
  "CAP_92ae5c67": {
   "en": "Human Behavior Observation",
   "zh": "人类行为观测",
   "level": "l3"
  },
  "CAP_55a9982a": {
   "en": "Trust-Aware Reward Design",
   "zh": "信任感知奖励设计",
   "level": "l3"
  },
  "CAP_8eaf5ee4": {
   "en": "Autonomy Level Switching",
   "zh": "自主性级别切换",
   "level": "l3"
  },
  "CAP_6d91d16d": {
   "en": "POMDP Belief Convergence Check",
   "zh": "POMDP信念收敛检查",
   "level": "l3"
  },
  "CAP_c9501abf": {
   "en": "Strategy Conflict Resolution",
   "zh": "策略冲突消解",
   "level": "l3"
  },
  "CAP_74a84b30": {
   "en": "Fixed Admittance Assembly Pipeline",
   "zh": "固定导纳装配流水线",
   "level": "l2"
  },
  "CAP_19a83fc9": {
   "en": "Spiral Search Trajectory Generation",
   "zh": "螺旋搜孔轨迹生成",
   "level": "l3"
  },
  "CAP_eba1c01f": {
   "en": "Force-Position Selection Matrix",
   "zh": "力位混合选择矩阵",
   "level": "l3"
  },
  "CAP_2ef80f2e": {
   "en": "Hole Detection by Force Threshold",
   "zh": "力阈值孔检测",
   "level": "l3"
  },
  "CAP_fdfff4ca": {
   "en": "Depth-Based Insertion Completion",
   "zh": "深度基插入完成判定",
   "level": "l3"
  },
  "CAP_4a6cdd35": {
   "en": "Jamming Detection by Torque Monitoring",
   "zh": "力矩卡阻检测",
   "level": "l3"
  },
  "CAP_2f964347": {
   "en": "RL-Based Admittance Assembly Pipeline",
   "zh": "RL 驱动导纳装配流水线",
   "level": "l2"
  },
  "CAP_025050c3": {
   "en": "RL Assembly Policy Training",
   "zh": "RL 装配策略训练",
   "level": "l3"
  },
  "CAP_dec08e59": {
   "en": "RL Policy Inference Deployment",
   "zh": "RL 策略推理部署",
   "level": "l3"
  },
  "CAP_92a1d9e6": {
   "en": "Fuzzy Reward Assembly",
   "zh": "模糊奖励装配",
   "level": "l3"
  },
  "CAP_fe47e6fc": {
   "en": "Domain Randomization for Assembly",
   "zh": "域随机化装配训练",
   "level": "l3"
  },
  "CAP_396cf492": {
   "en": "Contact State Admittance Assembly",
   "zh": "接触状态导纳装配",
   "level": "l2"
  },
  "CAP_09dc4435": {
   "en": "Contact Mechanics Modeling",
   "zh": "接触力学建模",
   "level": "l3"
  },
  "CAP_14c1a64f": {
   "en": "Admittance Parameter Scheduler",
   "zh": "导纳参数调度器",
   "level": "l3"
  },
  "CAP_bf73e998": {
   "en": "Force-Sensor-Driven Admittance Interaction",
   "zh": "力传感器驱动导纳交互",
   "level": "l2"
  },
  "CAP_a1b2c3d4e5f6": {
   "en": "FT Sensor Data Acquisition",
   "zh": "F/T传感器数据采集",
   "level": "l3"
  },
  "CAP_755c685f": {
   "en": "Reference Trajectory Modification",
   "zh": "参考轨迹修正",
   "level": "l3"
  },
  "CAP_6647e5ee": {
   "en": "Cartesian Motion Execution",
   "zh": "笛卡尔运动执行",
   "level": "l3"
  },
  "CAP_4b1fa079": {
   "en": "Inverse Kinematics Solver",
   "zh": "逆运动学求解",
   "level": "l3"
  },
  "CAP_276470d2": {
   "en": "Joint Position Servo",
   "zh": "关节位置伺服",
   "level": "l3"
  },
  "CAP_ca8512af": {
   "en": "Admittance Safety Monitoring",
   "zh": "导纳安全监控",
   "level": "l3"
  },
  "CAP_f2c2e641": {
   "en": "Damping Adjustment on Instability",
   "zh": "不稳定阻尼调整",
   "level": "l3"
  },
  "CAP_c4ad9785": {
   "en": "Emergency Stop on Force Limit",
   "zh": "力超限紧急停止",
   "level": "l3"
  },
  "CAP_4738af5a": {
   "en": "Rehabilitation Admittance Control",
   "zh": "康复导纳控制",
   "level": "l2"
  },
  "CAP_8bc0f8cd": {
   "en": "Patient Motion Intention Estimation",
   "zh": "患者运动意图估计",
   "level": "l3"
  },
  "CAP_0eaba09f": {
   "en": "Assist-as-Needed Parameter Adjustment",
   "zh": "按需辅助参数调整",
   "level": "l3"
  },
  "CAP_7998c014": {
   "en": "Assistive Torque Generation",
   "zh": "辅助力矩生成",
   "level": "l3"
  },
  "CAP_379d6c39": {
   "en": "Exoskeleton Joint Actuation",
   "zh": "外骨骼关节驱动",
   "level": "l3"
  },
  "CAP_edb76b47": {
   "en": "Rehabilitation Safety & Progress Adaptation",
   "zh": "康复安全与进度自适应",
   "level": "l3"
  },
  "CAP_8748e417": {
   "en": "Progress-Adaptive AAN Evaluation",
   "zh": "进度自适应AAN评估",
   "level": "l3"
  },
  "CAP_895453bd": {
   "en": "Progress-Adaptive AAN Parameter Update",
   "zh": "进度自适应AAN参数更新",
   "level": "l3"
  },
  "CAP_7eb6e8d1": {
   "en": "Bilateral Teleoperation Admittance Control",
   "zh": "双边遥操作导纳控制",
   "level": "l2"
  },
  "CAP_cb5e6cbe": {
   "en": "Master Device Pose Capture",
   "zh": "主设备位姿采集",
   "level": "l3"
  },
  "CAP_f3f192d2": {
   "en": "Master Operator Force Sensing",
   "zh": "主端操作力采集",
   "level": "l3"
  },
  "CAP_7e71c485": {
   "en": "Time-Delay Compensated Communication",
   "zh": "时延补偿通信",
   "level": "l3"
  },
  "CAP_3be634f4": {
   "en": "Motion Command Encoding & Transmission",
   "zh": "运动指令编码传输",
   "level": "l3"
  },
  "CAP_f4244c83": {
   "en": "Time-Delay Passivity Control",
   "zh": "时延无源性控制",
   "level": "l3"
  },
  "CAP_64a3618e": {
   "en": "Slave-Side Admittance Control Loop",
   "zh": "从端导纳控制环",
   "level": "l3"
  },
  "CAP_6bbbfea8": {
   "en": "Slave Robot Motion Execution",
   "zh": "从端机器人运动执行",
   "level": "l3"
  },
  "CAP_a19b042f": {
   "en": "Force Feedback Rendering",
   "zh": "力反馈渲染",
   "level": "l3"
  },
  "CAP_1fe25456": {
   "en": "Teleoperation Stability & Safety",
   "zh": "遥操作稳定性与安全",
   "level": "l3"
  },
  "CAP_6cb3633a": {
   "en": "Passivity Observer",
   "zh": "无源性观测器",
   "level": "l3"
  },
  "CAP_adffa65a": {
   "en": "Passivity Controller",
   "zh": "无源性控制器",
   "level": "l3"
  },
  "CAP_b91a8d43": {
   "en": "Human-Intent-Driven Variable Admittance",
   "zh": "人机交互状态驱动变导纳",
   "level": "l3"
  },
  "CAP_f382d8a0": {
   "en": "Fuzzy Reasoning Variable Damping Adjustment",
   "zh": "模糊推理变阻尼调整",
   "level": "l3"
  },
  "CAP_d8e1f2a3": {
   "en": "EMG Signal Acquisition and Preprocessing",
   "zh": "EMG信号采集与预处理",
   "level": "l3"
  },
  "CAP_a1b2c3d4e5f7": {
   "en": "DRL Admittance Simulation Environment Setup",
   "zh": "DRL 导纳仿真环境构建",
   "level": "l3"
  },
  "CAP_a1b2c3d4e5f9": {
   "en": "DRL Admittance Observation-Action Space Design",
   "zh": "DRL 导纳观测动作空间设计",
   "level": "l3"
  },
  "CAP_a1b2c3d4e600": {
   "en": "DRL Admittance Reward Design",
   "zh": "DRL 导纳奖励函数设计",
   "level": "l3"
  },
  "CAP_a1b2c3d4e601": {
   "en": "DRL Admittance Policy Training",
   "zh": "DRL 导纳策略训练",
   "level": "l3"
  },
  "CAP_a1b2c3d4e602": {
   "en": "DRL Admittance Sim-to-Real Transfer",
   "zh": "DRL 导纳 Sim-to-Real 迁移",
   "level": "l3"
  },
  "CAP_a1b2c3d4e603": {
   "en": "DRL Admittance Online Inference",
   "zh": "DRL 导纳在线推理",
   "level": "l3"
  },
  "CAP_a1b2c3d4e604": {
   "en": "DRL Admittance Parameter Smoothing",
   "zh": "DRL 导纳参数平滑过渡",
   "level": "l3"
  },
  "CAP_f1e2d3c4b5a6": {
   "en": "Fuzzy RL Online Admittance Learning Pipeline",
   "zh": "模糊强化学习在线导纳学习管线",
   "level": "l2"
  },
  "CAP_f1e2d3c4b5a7": {
   "en": "Fuzzy Rule Base Design for Admittance",
   "zh": "导纳模糊规则基设计",
   "level": "l3"
  },
  "CAP_f1e2d3c4b5a8": {
   "en": "Fuzzy Sarsa Lambda Admittance Learning",
   "zh": "Fuzzy Sarsa(lambda) 导纳学习",
   "level": "l3"
  },
  "CAP_f1e2d3c4b5a9": {
   "en": "Fuzzy Admittance Parameter Inference",
   "zh": "模糊导纳参数推理",
   "level": "l3"
  },
  "CAP_f1e2d3c4b600": {
   "en": "Admittance Controller Execution",
   "zh": "导纳控制器执行",
   "level": "l3"
  },
  "CAP_7a3f1c82": {
   "en": "Admittance Parameter Stability Analysis",
   "zh": "导纳参数稳定性分析",
   "level": "l3"
  },
  "CAP_2b8e4d91": {
   "en": "Force Response Performance Validation",
   "zh": "力响应性能量化评估",
   "level": "l3"
  },
  "CAP_3c9f5e03": {
   "en": "Admittance Cost Function Design",
   "zh": "导纳参数代价函数设计",
   "level": "l3"
  },
  "CAP_4d0a6f14": {
   "en": "Admittance Parameter Black-Box Optimization Search",
   "zh": "导纳参数黑箱优化搜索",
   "level": "l3"
  },
  "CAP_5e1b7a25": {
   "en": "Admittance Simulation Digital Twin Construction",
   "zh": "导纳参数仿真数字孪生构建",
   "level": "l3"
  },
  "CAP_6f2c8b36": {
   "en": "Simulation Admittance Parameter Batch Evaluation",
   "zh": "仿真导纳参数批量评估",
   "level": "l3"
  },
  "CAP_7a3d9c47": {
   "en": "Sim-to-Real Admittance Parameter Transfer",
   "zh": "Sim-to-Real 导纳参数迁移",
   "level": "l3"
  },
  "CAP_e1d47713": {
   "en": "Contact Force Convergence Monitoring",
   "zh": "接触力收敛监控",
   "level": "l3"
  },
  "CAP_a9bb6248": {
   "en": "Surface Mesh Acquisition",
   "zh": "表面网格获取",
   "level": "l3"
  },
  "CAP_f936b131": {
   "en": "Wiping Tool and Target Force Configuration",
   "zh": "擦拭工具与目标力配置",
   "level": "l3"
  },
  "CAP_026fcb8a": {
   "en": "Force Error Repeat Decision",
   "zh": "力误差重复处理决策",
   "level": "l3"
  },
  "CAP_2b84e7de": {
   "en": "Lyapunov Stability Guaranteed Variable Admittance",
   "zh": "Lyapunov 稳定性保证变导纳",
   "level": "l3"
  },
  "CAP_ce0c8a8b": {
   "en": "Contact Quality Driven Impedance Tuning",
   "zh": "接触质量驱动阻抗调整",
   "level": "l3"
  },
  "CAP_eaf086dc": {
   "en": "Visual Surface Stain Detection",
   "zh": "视觉表面污渍检测",
   "level": "l3"
  },
  "CAP_786347e4": {
   "en": "Quality-Driven Coverage Strategy Adaptation",
   "zh": "质量驱动覆盖策略自适应",
   "level": "l3"
  },
  "CAP_70b86d88": {
   "en": "Coverage Admittance Surface Following Pipeline",
   "zh": "覆盖式导纳表面跟随流水线",
   "level": "l2"
  },
  "CAP_38679cf3": {
   "en": "Adaptive Admittance Surface Following Pipeline",
   "zh": "自适应导纳表面跟随流水线",
   "level": "l2"
  },
  "CAP_1eb8956b": {
   "en": "Quality-Driven Admittance Surface Following Pipeline",
   "zh": "质量驱动导纳表面跟随流水线",
   "level": "l2"
  },
  "CAP_3a4b5c6d": {
   "en": "Disturbance Force Curriculum Scaling",
   "zh": "扰动力量课程缩放",
   "level": "l3"
  },
  "CAP_7e8f9a0b": {
   "en": "Robustness Evaluation Under Perturbation",
   "zh": "扰动下鲁棒性评估",
   "level": "l3"
  },
  "CAP_1c2d3e4f": {
   "en": "Environment Parameter Space Design",
   "zh": "环境参数空间设计",
   "level": "l3"
  },
  "CAP_5a6b7c8d": {
   "en": "Regret-Driven Environment Generation",
   "zh": "Regret 驱动的环境生成",
   "level": "l3"
  },
  "CAP_9e0f1a2b": {
   "en": "Prioritized Level Replay in UED",
   "zh": "UED 优先级关卡重放",
   "level": "l3"
  },
  "CAP_3c4d5e6f": {
   "en": "Zero-Shot Transfer via Curriculum Training",
   "zh": "课程训练的零样本迁移",
   "level": "l3"
  },
  "CAP_7a8b9c0d": {
   "en": "Goal Space Parameterization",
   "zh": "目标空间参数化",
   "level": "l3"
  },
  "CAP_5e6f7a8b": {
   "en": "HRL Off-policy Correction",
   "zh": "HRL离策略校正",
   "level": "l3"
  },
  "CAP_5c6d7e8f": {
   "en": "Goal-Conditioned Policy Training with HER",
   "zh": "基于 HER 的目标条件策略训练",
   "level": "l3"
  },
  "CAP_9a0b1c2d": {
   "en": "Multi-Goal Generalization Evaluation",
   "zh": "多目标泛化评估",
   "level": "l3"
  },
  "CAP_75daf1b7": {
   "en": "Data Preparation and Model Initialization for Adversarial Training",
   "zh": "对抗训练数据准备与模型初始化",
   "level": "l2"
  },
  "CAP_7ff6fbb0": {
   "en": "Dataset Loading and Preprocessing for Adversarial Training",
   "zh": "对抗训练数据集加载与预处理",
   "level": "l3"
  },
  "CAP_770b0325": {
   "en": "Model Initialization and ART Estimator Wrapping",
   "zh": "模型初始化与 ART Estimator 包装",
   "level": "l3"
  },
  "CAP_aab0685f": {
   "en": "Adversarial Example Generation",
   "zh": "对抗样本生成",
   "level": "l2"
  },
  "CAP_21c7e47c": {
   "en": "Attack Method Selection and Configuration",
   "zh": "攻击方法选择与配置",
   "level": "l3"
  },
  "CAP_c23ce40a": {
   "en": "Batch Adversarial Sample Generation",
   "zh": "批量对抗样本生成",
   "level": "l3"
  },
  "CAP_5901a481": {
   "en": "Adversarial Sample Quality Verification",
   "zh": "对抗样本质量校验",
   "level": "l3"
  },
  "CAP_ca45f402": {
   "en": "Adversarial Training",
   "zh": "对抗训练",
   "level": "l2"
  },
  "CAP_3c353b89": {
   "en": "Clean-Adversarial Data Mixing",
   "zh": "干净-对抗数据混合",
   "level": "l3"
  },
  "CAP_8b541fce": {
   "en": "PGD Adversarial Training Iteration",
   "zh": "PGD 对抗训练迭代",
   "level": "l3"
  },
  "CAP_1c336b67": {
   "en": "Robustness and Clean Accuracy Evaluation",
   "zh": "鲁棒性与清洁准确率评估",
   "level": "l3"
  },
  "CAP_b99a8cb0": {
   "en": "Robust Model Deployment",
   "zh": "鲁棒模型部署",
   "level": "l2"
  },
  "CAP_19ff4d8d": {
   "en": "Model Weight Export",
   "zh": "模型权重导出",
   "level": "l3"
  },
  "CAP_73b3d8f6": {
   "en": "ONNX/TensorRT Conversion and Deployment",
   "zh": "ONNX/TensorRT 转换与部署",
   "level": "l3"
  },
  "CAP_0a94a872": {
   "en": "Feature Extraction Baseline Establishment",
   "zh": "特征提取基线建立",
   "level": "l2"
  },
  "CAP_a7c764f8": {
   "en": "Pretrained Backbone Loading",
   "zh": "预训练 Backbone 加载",
   "level": "l3"
  },
  "CAP_8afc5a19": {
   "en": "Feature Extraction and Distribution Statistics",
   "zh": "特征提取与分布统计",
   "level": "l3"
  },
  "CAP_2632c718": {
   "en": "Feature-Space Adversarial Perturbation",
   "zh": "特征空间对抗扰动",
   "level": "l2"
  },
  "CAP_4cfba2fc": {
   "en": "ME-ADA Entropy Maximization Perturbation",
   "zh": "ME-ADA 熵最大化扰动",
   "level": "l3"
  },
  "CAP_bd102e28": {
   "en": "Multi-Sample Diversity Generation",
   "zh": "多样本多样性生成",
   "level": "l3"
  },
  "CAP_6146f572": {
   "en": "Feature Perturbation Quality Verification",
   "zh": "特征扰动质量校验",
   "level": "l3"
  },
  "CAP_8d5cd497": {
   "en": "Augmented Dataset Construction and Training",
   "zh": "增强数据集构建与训练",
   "level": "l2"
  },
  "CAP_b081f4fe": {
   "en": "Feature-Level Augmented Training",
   "zh": "特征级增强训练",
   "level": "l3"
  },
  "CAP_17d498d5": {
   "en": "Domain Generalization Evaluation",
   "zh": "域泛化评估",
   "level": "l3"
  },
  "CAP_4dacee77": {
   "en": "Robust Feature Model Deployment",
   "zh": "鲁棒特征模型部署",
   "level": "l2"
  },
  "CAP_8418d301": {
   "en": "Robust Backbone Export",
   "zh": "鲁棒 Backbone 导出",
   "level": "l3"
  },
  "CAP_19783638": {
   "en": "Perception Pipeline Integration",
   "zh": "感知流水线集成",
   "level": "l3"
  },
  "CAP_7928e4e2": {
   "en": "Source Data and GAN Generator Initialization",
   "zh": "源数据与 GAN 生成器初始化",
   "level": "l2"
  },
  "CAP_df086aa4": {
   "en": "Source Domain Data Loading",
   "zh": "源域数据加载",
   "level": "l3"
  },
  "CAP_c6fe310d": {
   "en": "Conditional GAN Generator Initialization",
   "zh": "条件 GAN 生成器初始化",
   "level": "l3"
  },
  "CAP_b8c64819": {
   "en": "GAN Discriminator Initialization",
   "zh": "GAN 判别器初始化",
   "level": "l3"
  },
  "CAP_77fb1fa4": {
   "en": "Adversarial Data Generation via GAN",
   "zh": "GAN 对抗数据生成",
   "level": "l2"
  },
  "CAP_15e8ce87": {
   "en": "GAN Adversarial Training",
   "zh": "GAN 对抗训练",
   "level": "l3"
  },
  "CAP_faad9c80": {
   "en": "Difficulty-Based Sample Filtering",
   "zh": "难度筛选",
   "level": "l3"
  },
  "CAP_4d729cea": {
   "en": "Generated Sample Quality Verification",
   "zh": "生成样本质量校验",
   "level": "l3"
  },
  "CAP_1188dc06": {
   "en": "Augmented Dataset Training",
   "zh": "增强数据集训练",
   "level": "l2"
  },
  "CAP_f90f39d0": {
   "en": "Augmented Dataset Construction",
   "zh": "增强数据集构建",
   "level": "l3"
  },
  "CAP_78ae3027": {
   "en": "Downstream Task Training",
   "zh": "下游任务训练",
   "level": "l3"
  },
  "CAP_509ddb5d": {
   "en": "Augmentation Effectiveness Evaluation",
   "zh": "增强效果评估",
   "level": "l3"
  },
  "CAP_e643c001": {
   "en": "GAN Generator Deployment",
   "zh": "GAN 生成器部署",
   "level": "l2"
  },
  "CAP_dd7fa489": {
   "en": "Generator Model Export",
   "zh": "生成器模型导出",
   "level": "l3"
  },
  "CAP_d12d1b31": {
   "en": "Online Augmentation DataLoader Integration",
   "zh": "在线增强 DataLoader 集成",
   "level": "l3"
  },
  "CAP_a32e9e4c": {
   "en": "Environment and Policy Initialization for Adversarial Training",
   "zh": "对抗训练环境与策略初始化",
   "level": "l2"
  },
  "CAP_15d5cdb2": {
   "en": "Simulation Environment Initialization",
   "zh": "仿真环境初始化",
   "level": "l3"
  },
  "CAP_7e4cf37d": {
   "en": "Protagonist Policy Initialization",
   "zh": "主角策略初始化",
   "level": "l3"
  },
  "CAP_b64fb2c2": {
   "en": "Adversary Policy Initialization",
   "zh": "对抗策略初始化",
   "level": "l3"
  },
  "CAP_018a133c": {
   "en": "Adversarial Interaction Training",
   "zh": "对抗交互训练",
   "level": "l2"
  },
  "CAP_43a1c790": {
   "en": "Adversarial Rollout Collection",
   "zh": "对抗 rollout 收集",
   "level": "l3"
  },
  "CAP_3d41e768": {
   "en": "Protagonist Policy Update",
   "zh": "主角策略更新",
   "level": "l3"
  },
  "CAP_0a6760a7": {
   "en": "Adversary Policy Update",
   "zh": "对抗策略更新",
   "level": "l3"
  },
  "CAP_e965e92f": {
   "en": "Robust Policy Evaluation",
   "zh": "鲁棒策略评估",
   "level": "l2"
  },
  "CAP_45b4d70a": {
   "en": "Clean Environment Evaluation",
   "zh": "清洁环境评估",
   "level": "l3"
  },
  "CAP_f2529837": {
   "en": "Adversarial Environment Evaluation",
   "zh": "对抗环境评估",
   "level": "l3"
  },
  "CAP_89d2d59e": {
   "en": "Generalization Evaluation",
   "zh": "泛化评估",
   "level": "l3"
  },
  "CAP_7f9388af": {
   "en": "Robust Policy Deployment",
   "zh": "鲁棒策略部署",
   "level": "l2"
  },
  "CAP_b1227636": {
   "en": "Protagonist Policy Export",
   "zh": "主角策略导出",
   "level": "l3"
  },
  "CAP_584bcbad": {
   "en": "Sim-to-Real Policy Deployment",
   "zh": "仿真到真实策略部署",
   "level": "l3"
  },
  "CAP_cea5a959": {
   "en": "Game Tree Formulation",
   "zh": "博弈树建模",
   "level": "l2"
  },
  "CAP_d7120261": {
   "en": "Game State Representation",
   "zh": "博弈状态表示",
   "level": "l3"
  },
  "CAP_6f498f54": {
   "en": "Adversarial Payoff and Heuristic Design",
   "zh": "对抗收益函数与启发式设计",
   "level": "l3"
  },
  "CAP_f613f0ff": {
   "en": "Adversarial Tree Search",
   "zh": "对抗树搜索",
   "level": "l2"
  },
  "CAP_9cae9008": {
   "en": "Adversarial Search Algorithm Selection",
   "zh": "对抗搜索算法选择",
   "level": "l3"
  },
  "CAP_603cd9d6": {
   "en": "Minimax Search with Alpha-Beta Pruning",
   "zh": "极小极大搜索与Alpha-Beta剪枝",
   "level": "l3"
  },
  "CAP_decb093d": {
   "en": "Adversarial MCTS",
   "zh": "对抗博弈蒙特卡洛树搜索",
   "level": "l3"
  },
  "CAP_c1652679": {
   "en": "Anytime Action Extraction",
   "zh": "任意时间最优动作提取",
   "level": "l3"
  },
  "CAP_794bbb44": {
   "en": "Strategy Execution and Online Re-Search",
   "zh": "策略执行与在线重搜索",
   "level": "l2"
  },
  "CAP_25040599": {
   "en": "Action Execution and State Update",
   "zh": "动作执行与状态更新",
   "level": "l3"
  },
  "CAP_9e9a9e4a": {
   "en": "Terminal Check and Re-Search Trigger",
   "zh": "终止检查与重搜索触发",
   "level": "l3"
  },
  "CAP_93953b80": {
   "en": "Transposition Table and Warm-Start",
   "zh": "转置表与搜索热启动",
   "level": "l3"
  },
  "CAP_a458b976": {
   "en": "Game Termination Handling",
   "zh": "博弈终止处理",
   "level": "l3"
  },
  "CAP_0cf726bc": {
   "en": "Strategic Game Formulation",
   "zh": "策略式博弈建模",
   "level": "l2"
  },
  "CAP_37c90984": {
   "en": "Player Action Space Enumeration",
   "zh": "玩家策略空间枚举",
   "level": "l3"
  },
  "CAP_424e3972": {
   "en": "Payoff Matrix Construction",
   "zh": "收益矩阵构建",
   "level": "l3"
  },
  "CAP_b8933dea": {
   "en": "Equilibrium Computation",
   "zh": "均衡计算",
   "level": "l2"
  },
  "CAP_0d77b8f6": {
   "en": "Nash Equilibrium Solving",
   "zh": "纳什均衡求解",
   "level": "l3"
  },
  "CAP_dc7c040e": {
   "en": "Equilibrium Selection and Strategy Sampling",
   "zh": "均衡选择与混合策略采样",
   "level": "l3"
  },
  "CAP_2c097539": {
   "en": "Strategy Deployment and Dynamic Adjustment",
   "zh": "策略部署与动态调整",
   "level": "l2"
  },
  "CAP_4d17aacb": {
   "en": "Mixed Strategy Execution",
   "zh": "混合策略执行",
   "level": "l3"
  },
  "CAP_c2159325": {
   "en": "Strategy Regret Monitoring",
   "zh": "策略后悔监控",
   "level": "l3"
  },
  "CAP_5f2ac71f": {
   "en": "Belief Update and Equilibrium Re-Solving",
   "zh": "信念更新与均衡重求解",
   "level": "l3"
  },
  "CAP_e26768f3": {
   "en": "Opponent Behavior Modeling",
   "zh": "对手行为建模",
   "level": "l2"
  },
  "CAP_efd93bc0": {
   "en": "Opponent Action Observation and History Tracking",
   "zh": "对手动作观测与历史追踪",
   "level": "l3"
  },
  "CAP_b95062ae": {
   "en": "Opponent Model Inference",
   "zh": "对手模型推理",
   "level": "l3"
  },
  "CAP_a3f8efef": {
   "en": "Recursive Reasoning and Best Response",
   "zh": "递归推理与最优响应",
   "level": "l2"
  },
  "CAP_86a714e2": {
   "en": "Level-k Cognitive Hierarchy Reasoning",
   "zh": "Level-k认知层级推理",
   "level": "l3"
  },
  "CAP_f54c0f15": {
   "en": "Best Response Computation",
   "zh": "最优响应计算",
   "level": "l3"
  },
  "CAP_a803a368": {
   "en": "Online Strategy Adaptation",
   "zh": "在线策略适配",
   "level": "l2"
  },
  "CAP_44ea6e73": {
   "en": "Strategy Performance Evaluation",
   "zh": "策略性能评估",
   "level": "l3"
  },
  "CAP_817cabc1": {
   "en": "Opponent Model Update and Strategy Switching",
   "zh": "对手模型更新与策略切换",
   "level": "l3"
  },
  "CAP_2c57ad22": {
   "en": "Strategy Parameter Fine-Tuning",
   "zh": "策略参数微调",
   "level": "l3"
  },
  "CAP_1dd15a31cf": {
   "en": "Q-Table Initialization for Multi-Agent Game",
   "zh": "多智能体博弈 Q 表初始化",
   "level": "l3"
  },
  "CAP_638e5e3966": {
   "en": "Game-Theoretic Equilibrium Solver",
   "zh": "博弈论均衡求解器",
   "level": "l3"
  },
  "CAP_5d878d9830": {
   "en": "TD-Based Q-Value Update with Equilibrium Target",
   "zh": "基于均衡目标的 TD Q 值更新",
   "level": "l3"
  },
  "CAP_0a749d31": {
   "en": "Equilibrium Convergence Detection",
   "zh": "均衡收敛检测",
   "level": "l3"
  },
  "CAP_ff4130477b": {
   "en": "Policy Population Management",
   "zh": "策略种群管理",
   "level": "l3"
  },
  "CAP_e88d56072e": {
   "en": "Meta-Strategy Solver",
   "zh": "元策略求解器",
   "level": "l3"
  },
  "CAP_bf84c4eab1": {
   "en": "Best Response Oracle Training",
   "zh": "最佳响应 Oracle 训练",
   "level": "l3"
  },
  "CAP_bb2b46b9d3": {
   "en": "Cross-Play Payoff Evaluation",
   "zh": "交叉博弈收益评估",
   "level": "l3"
  },
  "CAP_fe9ce008fa": {
   "en": "Population Convergence Check",
   "zh": "种群收敛检测",
   "level": "l3"
  },
  "CAP_91afc264f2": {
   "en": "Zero-Sum Adversarial Training Loop",
   "zh": "零和对抗训练循环",
   "level": "l3"
  },
  "CAP_e78c06b106": {
   "en": "Adversarial Victim Hardening",
   "zh": "对抗性 victim 加固",
   "level": "l3"
  },
  "CAP_46ee045e9f": {
   "en": "Multi-Agent Competition Environment Setup",
   "zh": "多智能体竞争环境初始化",
   "level": "l3"
  },
  "CAP_4ac9461737": {
   "en": "Adversarial Attack Success Evaluation",
   "zh": "攻击成功率评估",
   "level": "l3"
  },
  "CAP_30831dcd50": {
   "en": "Attack Transferability Analysis",
   "zh": "攻击可迁移性分析",
   "level": "l3"
  },
  "CAP_9367505ec9": {
   "en": "Adversarial Behavior Visualization",
   "zh": "对抗行为可视化",
   "level": "l3"
  },
  "CAP_0abab4c2": {
   "en": "Fullstate OCP Formulation",
   "zh": "全状态最优控制问题建模",
   "level": "l2"
  },
  "CAP_10ed84c6": {
   "en": "Quadrotor Dynamics Modeling",
   "zh": "四旋翼全状态动力学建模",
   "level": "l3"
  },
  "CAP_85201669": {
   "en": "Multiple Shooting Discretization",
   "zh": "多重打靶法离散化",
   "level": "l3"
  },
  "CAP_d78b38c4": {
   "en": "CPC Waypoint Time Allocation",
   "zh": "互补进度约束航点时间分配",
   "level": "l3"
  },
  "CAP_0336ba96": {
   "en": "NLP Trajectory Solver",
   "zh": "非线性规划轨迹优化求解",
   "level": "l3"
  },
  "CAP_ea9d1890": {
   "en": "Optimal Trajectory Export",
   "zh": "最优轨迹导出",
   "level": "l3"
  },
  "CAP_4c799540": {
   "en": "Trajectory Sampling",
   "zh": "轨迹采样与时域展开",
   "level": "l3"
  },
  "CAP_884eca34": {
   "en": "MPC Receding Horizon Optimization",
   "zh": "MPC 滚动时域优化",
   "level": "l3"
  },
  "CAP_24e567e8": {
   "en": "Offboard Thrust Command",
   "zh": "Offboard 推力指令下发",
   "level": "l3"
  },
  "CAP_ce81a008": {
   "en": "Dagger Imitation Learning",
   "zh": "DAgger 模仿学习训练",
   "level": "l2"
  },
  "CAP_190b1094": {
   "en": "Expert MPC Data Collection",
   "zh": "MPC 专家数据采集",
   "level": "l3"
  },
  "CAP_2d692735": {
   "en": "Student Network Training",
   "zh": "学生网络训练",
   "level": "l3"
  },
  "CAP_bdbbe9b0": {
   "en": "PPO Drone Racing Policy",
   "zh": "PPO 无人机竞速策略",
   "level": "l2"
  },
  "CAP_6c848d52": {
   "en": "Simulation Environment Setup",
   "zh": "仿真环境搭建",
   "level": "l3"
  },
  "CAP_6378d6b9": {
   "en": "PPO Policy Training",
   "zh": "PPO 策略训练",
   "level": "l3"
  },
  "CAP_4c206cc5": {
   "en": "Residual Observation Modeling",
   "zh": "残差观测误差建模",
   "level": "l3"
  },
  "CAP_627843f7": {
   "en": "Residual Dynamics Modeling",
   "zh": "残差动力学建模",
   "level": "l3"
  },
  "CAP_1bc1cf79": {
   "en": "Differential Flatness Analysis",
   "zh": "微分平坦性分析与降维",
   "level": "l2"
  },
  "CAP_40b57755": {
   "en": "Polynomial Trajectory Parameterization",
   "zh": "多项式轨迹参数化",
   "level": "l3"
  },
  "CAP_dcc25912": {
   "en": "Yaw Compensation Mapping",
   "zh": "偏航补偿映射",
   "level": "l3"
  },
  "CAP_8e73ecad": {
   "en": "Minimum Snap QP Optimization",
   "zh": "最小 Snap 二次规划优化",
   "level": "l2"
  },
  "CAP_d312c614": {
   "en": "Minimum Snap Cost Construction",
   "zh": "Minimum Snap 代价构造",
   "level": "l3"
  },
  "CAP_118d2b56": {
   "en": "QP Constraint Assembly",
   "zh": "QP 约束组装",
   "level": "l3"
  },
  "CAP_a0588625": {
   "en": "Closed-Form or QP Solving",
   "zh": "闭式或 QP 求解",
   "level": "l3"
  },
  "CAP_a21640e4": {
   "en": "Online Replanning Multi-Topology",
   "zh": "在线多拓扑重规划",
   "level": "l3"
  },
  "CAP_718fca54": {
   "en": "Flatness Inverse Control",
   "zh": "微分平坦逆映射控制",
   "level": "l2"
  },
  "CAP_2b4e5031": {
   "en": "Flatness Inverse Mapping",
   "zh": "微分平坦逆映射计算",
   "level": "l3"
  },
  "CAP_cd2be7ba": {
   "en": "Feedback Correction and Execution",
   "zh": "反馈修正与执行",
   "level": "l3"
  },
  "CAP_44c4d97e": {
   "en": "MPC Agile Trajectory Tracking",
   "zh": "MPC 敏捷轨迹跟踪",
   "level": "l2"
  },
  "CAP_a2bb5ebb": {
   "en": "Aerial Manipulator-Arm Grasping Pipeline",
   "zh": "空中机械臂抓取管线",
   "level": "l2"
  },
  "CAP_75c55f62": {
   "en": "Aerial Target Detection and Pose Estimation",
   "zh": "空中目标检测与位姿估计",
   "level": "l3"
  },
  "CAP_15150995": {
   "en": "Hand-Eye Coordinate Transform",
   "zh": "手眼坐标变换",
   "level": "l3"
  },
  "CAP_655d3409": {
   "en": "Arm Inverse Kinematics and Trajectory Planning",
   "zh": "机械臂逆运动学与轨迹规划",
   "level": "l3"
  },
  "CAP_41b8af68": {
   "en": "Aerial Arm Collision-Aware Planning",
   "zh": "空中机械臂碰撞感知规划",
   "level": "l3"
  },
  "CAP_fb1d247b": {
   "en": "UAV-Arm Coupled Dynamics Compensation",
   "zh": "无人机-机械臂耦合动力学补偿",
   "level": "l3"
  },
  "CAP_a3a06d16": {
   "en": "Aerial Visual Servoing for Grasping",
   "zh": "空中抓取视觉伺服",
   "level": "l3"
  },
  "CAP_f2de5190": {
   "en": "Force-Aware Grasp Closure",
   "zh": "力感知夹爪闭合",
   "level": "l3"
  },
  "CAP_3e989bed": {
   "en": "Post-Grasp Mass Change Compensation",
   "zh": "抓取后质量变化补偿",
   "level": "l3"
  },
  "CAP_ac95aa75": {
   "en": "Post-Grasp Flight Stabilization",
   "zh": "抓取后飞行稳定",
   "level": "l3"
  },
  "CAP_121f11f8": {
   "en": "Passive Direct Aerial Grasping Pipeline",
   "zh": "被动直接空中抓取管线",
   "level": "l2"
  },
  "CAP_ca0d6f76": {
   "en": "Coarse Aerial Target Detection",
   "zh": "空中粗定位目标检测",
   "level": "l3"
  },
  "CAP_c24ebd48": {
   "en": "Aerial Approach Flight Control",
   "zh": "空中接近飞行控制",
   "level": "l3"
  },
  "CAP_35621ac0": {
   "en": "Passive Impact Energy Absorption",
   "zh": "被动冲击能量吸收",
   "level": "l3"
  },
  "CAP_c3ed7603": {
   "en": "Passive Mechanical Grasp Locking",
   "zh": "被动机械抓取锁定",
   "level": "l3"
  },
  "CAP_ce95c8d3": {
   "en": "Phase-Change Actuated Adaptive Grasping",
   "zh": "相变驱动自适应抓取",
   "level": "l3"
  },
  "CAP_88dd4c86": {
   "en": "Dexterous Hand-Based Aerial Grasping Pipeline",
   "zh": "灵巧手空中抓取管线",
   "level": "l2"
  },
  "CAP_a6178ebf": {
   "en": "Grasp Mode Selection for Dexterous Hand",
   "zh": "灵巧手抓取模态选择",
   "level": "l3"
  },
  "CAP_31a822c1": {
   "en": "Hand-Flight Coordinated Motion Planning",
   "zh": "手-飞行协调运动规划",
   "level": "l3"
  },
  "CAP_7a2e846b": {
   "en": "Tendon-Driven Hand Morphing Execution",
   "zh": "腱绳驱动手部变形执行",
   "level": "l3"
  },
  "CAP_a66b4c64": {
   "en": "Multi-Modal Grasp Closure",
   "zh": "多模态抓取闭合",
   "level": "l3"
  },
  "CAP_0202f604": {
   "en": "Grasp Verification and Force Adjustment",
   "zh": "抓取验证与力调整",
   "level": "l3"
  },
  "CAP_29ee4a90": {
   "en": "Aerial Perching and Energy-Saving Hold",
   "zh": "空中栖息与节能悬停",
   "level": "l3"
  },
  "CAP_63ac3d1f": {
   "en": "Multi-Modal Perception Fusion",
   "zh": "多模态感知融合",
   "level": "l3"
  },
  "CAP_2499039a": {
   "en": "Perch Target Visual Detection",
   "zh": "栖息目标视觉检测",
   "level": "l3"
  },
  "CAP_6b8175d1": {
   "en": "Tau-Guided Perching Approach",
   "zh": "τ 引导栖息接近控制",
   "level": "l3"
  },
  "CAP_d87f7825": {
   "en": "Pre-Perch Leg Pose Configuration",
   "zh": "栖息前腿姿配置",
   "level": "l3"
  },
  "CAP_cc58044e": {
   "en": "Impact-Triggered Grasp Engagement",
   "zh": "冲击触发抓取接合",
   "level": "l3"
  },
  "CAP_01fdd801": {
   "en": "DFM Impact Energy Absorption",
   "zh": "DFM 肌腱能量吸收",
   "level": "l3"
  },
  "CAP_7a5a3050": {
   "en": "TLM Passive Grasp Locking",
   "zh": "TLM 被动抓取锁定",
   "level": "l3"
  },
  "CAP_320fd35d": {
   "en": "Perched Balance Stabilization",
   "zh": "栖息后平衡稳定",
   "level": "l3"
  },
  "CAP_e4c27fbc": {
   "en": "Motor Shutoff for Vibration-Free Imaging",
   "zh": "旋翼关停零振动成像",
   "level": "l3"
  },
  "CAP_90be2cf3": {
   "en": "Gimbal Multi-Angle Inspection Imaging",
   "zh": "云台多角度检测成像",
   "level": "l3"
  },
  "CAP_419acee6": {
   "en": "Onboard Visual Defect Detection",
   "zh": "机载视觉缺陷检测",
   "level": "l3"
  },
  "CAP_5e40d607": {
   "en": "Inspection Geo-Tagging and 3D Mapping",
   "zh": "检测结果地理标注与三维建图",
   "level": "l3"
  },
  "CAP_222bfa39": {
   "en": "TLM Release and Mechanism Reset",
   "zh": "TLM 释放与机构复位",
   "level": "l3"
  },
  "CAP_5ce53f9f": {
   "en": "Perched Takeoff and Navigation",
   "zh": "栖息后起飞与导航",
   "level": "l3"
  },
  "CAP_4e5faece": {
   "en": "Surface Suitability Assessment for Adhesion",
   "zh": "黏附表面适用性评估",
   "level": "l3"
  },
  "CAP_c61bf7a5": {
   "en": "Adhesion-Compliant Approach Control",
   "zh": "黏附柔顺接近控制",
   "level": "l3"
  },
  "CAP_41d1ca9b": {
   "en": "Controlled Surface Contact",
   "zh": "受控表面接触",
   "level": "l3"
  },
  "CAP_b8cc88b2": {
   "en": "Adhesion and Suction Engagement",
   "zh": "黏附/吸盘接合",
   "level": "l3"
  },
  "CAP_73893d4a": {
   "en": "Attachment Verification",
   "zh": "附着验证",
   "level": "l3"
  },
  "CAP_40806124": {
   "en": "NDT Contact Sensor Deployment",
   "zh": "NDT 接触传感器部署",
   "level": "l3"
  },
  "CAP_d569ffb5": {
   "en": "Ultrasonic NDT Coupling Verification",
   "zh": "超声 NDT 耦合验证",
   "level": "l3"
  },
  "CAP_652f9114": {
   "en": "NDT Scan Pattern Control",
   "zh": "NDT 扫描模式控制",
   "level": "l3"
  },
  "CAP_ff23916f": {
   "en": "NDT Signal Processing and Defect Classification",
   "zh": "NDT 信号处理与缺陷分类",
   "level": "l3"
  },
  "CAP_d1d4028f": {
   "en": "Controlled Detachment",
   "zh": "受控脱离",
   "level": "l3"
  },
  "CAP_a87fd71a": {
   "en": "Safe Departure",
   "zh": "安全脱离起飞",
   "level": "l3"
  },
  "CAP_134f90d3": {
   "en": "Ferromagnetic Surface Detection",
   "zh": "铁磁表面检测",
   "level": "l3"
  },
  "CAP_e3535153": {
   "en": "EPM Approach Trajectory Control",
   "zh": "EPM 接近轨迹控制",
   "level": "l3"
  },
  "CAP_37cf07e1": {
   "en": "EPM Magnetization Pulse Control",
   "zh": "EPM 磁化脉冲控制",
   "level": "l3"
  },
  "CAP_5b490913": {
   "en": "High-Resolution Visual Inspection Imaging",
   "zh": "高分辨率视觉检测成像",
   "level": "l3"
  },
  "CAP_bef47522": {
   "en": "Thermal Defect Inspection",
   "zh": "热成像缺陷检测",
   "level": "l3"
  },
  "CAP_9492c712": {
   "en": "Ultrasonic Thickness Gauging",
   "zh": "超声测厚",
   "level": "l3"
  },
  "CAP_b46a087c": {
   "en": "Eddy Current Crack Detection",
   "zh": "涡流裂纹检测",
   "level": "l3"
  },
  "CAP_cf261a3c": {
   "en": "Multi-Modal Defect Data Fusion",
   "zh": "多模态缺陷数据融合",
   "level": "l3"
  },
  "CAP_23521e19": {
   "en": "EPM Demagnetization Pulse Control",
   "zh": "EPM 去磁脉冲控制",
   "level": "l3"
  },
  "CAP_a1b2c3d4e5f1": {
   "en": "Payload Parameter Configuration",
   "zh": "载荷参数配置",
   "level": "l3"
  },
  "CAP_a1b2c3d4e5f3": {
   "en": "Release Point Search",
   "zh": "释放点搜索",
   "level": "l3"
  },
  "CAP_a1b2c3d4e5f4": {
   "en": "Servo Release Actuation",
   "zh": "伺服释放执行",
   "level": "l3"
  },
  "CAP_a1b2c3d4e5fa": {
   "en": "Post-Throw Recovery Control",
   "zh": "投掷后恢复控制",
   "level": "l3"
  },
  "CAP_a1b2c3d4e5fb": {
   "en": "Aerial Launcher Operation",
   "zh": "空中发射器操作",
   "level": "l2"
  },
  "CAP_a1b2c3d4e5fc": {
   "en": "Launcher Orientation Control",
   "zh": "发射器定向控制",
   "level": "l3"
  },
  "CAP_a1b2c3d4e5fd": {
   "en": "Launch Energy Calculation",
   "zh": "发射能量计算",
   "level": "l3"
  },
  "CAP_a1b2c3d4e5fe": {
   "en": "Launcher Actuation",
   "zh": "发射器触发执行",
   "level": "l3"
  },
  "CAP_a1b2c3d4e5ff": {
   "en": "Recoil Compensation",
   "zh": "后坐力补偿",
   "level": "l3"
  },
  "CAP_2f6190f1": {
   "en": "Parametric MAV Aerodynamic Simulation Pipeline",
   "zh": "参数化MAV气动仿真管线",
   "level": "l2"
  },
  "CAP_a7039c97": {
   "en": "Gazebo World and Physics Engine Setup",
   "zh": "Gazebo世界与物理引擎配置",
   "level": "l3"
  },
  "CAP_6ac76302": {
   "en": "MAV URDF Model Loading",
   "zh": "MAV URDF模型加载",
   "level": "l3"
  },
  "CAP_d0b2d34c": {
   "en": "Sensor Simulation Configuration",
   "zh": "传感器仿真配置",
   "level": "l3"
  },
  "CAP_952507f7": {
   "en": "Rotor Drag Model Definition",
   "zh": "旋翼阻力模型定义",
   "level": "l3"
  },
  "CAP_1ca77c91": {
   "en": "Body Frame Drag Model Definition",
   "zh": "机体阻力模型定义",
   "level": "l3"
  },
  "CAP_faea0442": {
   "en": "Thrust and Torque Motor Model",
   "zh": "推力与扭矩电机模型",
   "level": "l3"
  },
  "CAP_c0879499": {
   "en": "Flat Output Space Trajectory Optimization",
   "zh": "平坦输出空间轨迹优化",
   "level": "l3"
  },
  "CAP_6d87da61": {
   "en": "EKF2 State Estimation with Wind Estimation",
   "zh": "EKF2状态估计与风估计",
   "level": "l3"
  },
  "CAP_62cefffe": {
   "en": "Cascaded PID Flight Control",
   "zh": "级联PID飞行控制",
   "level": "l3"
  },
  "CAP_3f21a79a": {
   "en": "Mixer and Thrust Allocation",
   "zh": "混控器与推力分配",
   "level": "l3"
  },
  "CAP_92ff4909": {
   "en": "Wind Field Configuration",
   "zh": "风场配置",
   "level": "l3"
  },
  "CAP_c81cbe60": {
   "en": "Wind-UAV Aerodynamic Interaction",
   "zh": "风场-无人机气动交互",
   "level": "l3"
  },
  "CAP_e992ab73": {
   "en": "Neural-Fly Meta-Learning Aerodynamic Residual Pipeline",
   "zh": "Neural-Fly元学习气动残差管线",
   "level": "l2"
  },
  "CAP_7ff205f3": {
   "en": "Wind Tunnel Configuration",
   "zh": "风洞配置",
   "level": "l3"
  },
  "CAP_101fdf40": {
   "en": "Multi-Wind Flight Data Collection",
   "zh": "多风况飞行数据采集",
   "level": "l3"
  },
  "CAP_47e107f7": {
   "en": "Aerodynamic Residual Force Computation",
   "zh": "气动残差力计算",
   "level": "l3"
  },
  "CAP_0c449344": {
   "en": "Flight Data Preprocessing",
   "zh": "飞行数据预处理",
   "level": "l3"
  },
  "CAP_233e6cd9": {
   "en": "Domain Adversarial Network Training",
   "zh": "域对抗网络训练",
   "level": "l3"
  },
  "CAP_3ca75131": {
   "en": "Spectral Normalization Regularization",
   "zh": "谱归一化正则化",
   "level": "l3"
  },
  "CAP_0e0d62f7": {
   "en": "Meta-Learning Loss Optimization",
   "zh": "元学习损失优化",
   "level": "l3"
  },
  "CAP_dfbc7532": {
   "en": "Composite Adaptation Law Update",
   "zh": "复合自适应律更新",
   "level": "l3"
  },
  "CAP_f911e288": {
   "en": "CFD-Based Aerodynamic Coefficient Extraction Pipeline",
   "zh": "CFD驱动气动系数提取管线",
   "level": "l2"
  },
  "CAP_bc45cff2": {
   "en": "UAV Geometry Modeling",
   "zh": "无人机几何建模",
   "level": "l3"
  },
  "CAP_ace11169": {
   "en": "SnappyHexMesh Grid Generation",
   "zh": "SnappyHexMesh网格生成",
   "level": "l3"
  },
  "CAP_66cf0da3": {
   "en": "Mesh Quality Check",
   "zh": "网格质量检查",
   "level": "l3"
  },
  "CAP_2e1696e4": {
   "en": "Boundary Condition and Solver Configuration",
   "zh": "边界条件与求解器配置",
   "level": "l3"
  },
  "CAP_bb5ffd31": {
   "en": "RANS-LES Solution",
   "zh": "RANS-LES求解",
   "level": "l3"
  },
  "CAP_597af23c": {
   "en": "Aerodynamic Coefficient Post-Processing",
   "zh": "气动系数后处理",
   "level": "l3"
  },
  "CAP_cb064d51": {
   "en": "BEMT Propeller Performance Analysis",
   "zh": "BEMT螺旋桨性能分析",
   "level": "l3"
  },
  "CAP_e7029097": {
   "en": "Coefficient Fitting and Interpolation",
   "zh": "系数拟合与插值",
   "level": "l3"
  },
  "CAP_88199474": {
   "en": "Gazebo LiftDragPlugin Configuration",
   "zh": "Gazebo升力阻力插件配置",
   "level": "l3"
  },
  "CAP_2b8bb81e": {
   "en": "Flight Simulation Validation",
   "zh": "飞行仿真验证",
   "level": "l3"
  },
  "CAP_7f756b23": {
   "en": "LLM Candidate Skill Proposal",
   "zh": "LLM候选技能提议",
   "level": "l3"
  },
  "CAP_4ff36abc": {
   "en": "VLM Constraint Map Generation",
   "zh": "VLM约束图生成",
   "level": "l3"
  },
  "CAP_83227858": {
   "en": "VariationalBeliefUpdating",
   "zh": "变分信念更新",
   "level": "l3"
  },
  "CAP_c821e11f": {
   "en": "2D Visual Affordance Segmentation Pipeline",
   "zh": "2D视觉可供性分割管线",
   "level": "l2"
  },
  "CAP_f6b3c128": {
   "en": "RGB Image Capture",
   "zh": "RGB图像采集",
   "level": "l3"
  },
  "CAP_46e7fcb0": {
   "en": "Image Resize and Normalization",
   "zh": "图像尺寸调整与归一化",
   "level": "l3"
  },
  "CAP_6c7f7bce": {
   "en": "CNN Backbone Feature Extraction",
   "zh": "CNN主干特征提取",
   "level": "l3"
  },
  "CAP_3383f075": {
   "en": "RPN Region Proposal",
   "zh": "RPN区域提议",
   "level": "l3"
  },
  "CAP_8ce0da12": {
   "en": "Object Detection Head",
   "zh": "物体检测头",
   "level": "l3"
  },
  "CAP_b4b5ca1c": {
   "en": "Deconvolutional Affordance Upsampling",
   "zh": "反卷积可供性上采样",
   "level": "l3"
  },
  "CAP_a3c884c4": {
   "en": "Affordance Mask Classification",
   "zh": "可供性掩码分类",
   "level": "l3"
  },
  "CAP_8c4b059d": {
   "en": "Affordance Mask Fusion",
   "zh": "可供性掩码融合",
   "level": "l3"
  },
  "CAP_4bac5a78": {
   "en": "3D Geometric Affordance Prediction Pipeline",
   "zh": "3D几何可供性预测管线",
   "level": "l2"
  },
  "CAP_da0ea0dd": {
   "en": "Depth De-projection to 3D Point Cloud",
   "zh": "深度图反投影为 3D 点云",
   "level": "l3"
  },
  "CAP_06f4d8f8": {
   "en": "Point Cloud Normalization",
   "zh": "点云归一化",
   "level": "l3"
  },
  "CAP_d309abda": {
   "en": "Point-wise Feature Extraction (PointNet++)",
   "zh": "逐点特征提取（PointNet++）",
   "level": "l3"
  },
  "CAP_f48d3e00": {
   "en": "Per-Point Actionability Scoring",
   "zh": "逐点可供性评分",
   "level": "l3"
  },
  "CAP_959bd33e": {
   "en": "Interaction Type Prediction",
   "zh": "交互类型预测",
   "level": "l3"
  },
  "CAP_4c5ebd4c": {
   "en": "Interaction Parameter Regression",
   "zh": "交互参数回归",
   "level": "l3"
  },
  "CAP_ab7a1b8f": {
   "en": "Affordance Proposal Selection",
   "zh": "可供性提议筛选",
   "level": "l3"
  },
  "CAP_75398bb0": {
   "en": "Foundation Model Affordance Mapping Pipeline",
   "zh": "基础模型可供性映射管线",
   "level": "l2"
  },
  "CAP_4331ed4f": {
   "en": "3D Voxel Grid Construction",
   "zh": "3D体素网格构建",
   "level": "l3"
  },
  "CAP_4d7e34bd": {
   "en": "LLM Affordance Code Generation",
   "zh": "LLM可供性代码生成",
   "level": "l3"
  },
  "CAP_6f246073": {
   "en": "VLM Visual Grounding",
   "zh": "VLM视觉接地",
   "level": "l3"
  },
  "CAP_b6fa7c6a": {
   "en": "3D Affordance Value Map Construction",
   "zh": "3D可供性价值地图构建",
   "level": "l3"
  },
  "CAP_7604b019": {
   "en": "3D Constraint Cost Map Construction",
   "zh": "3D约束价值地图构建",
   "level": "l3"
  },
  "CAP_cc1246dd": {
   "en": "Value Map-Based Motion Planning",
   "zh": "基于价值地图的运动规划",
   "level": "l3"
  },
  "CAP_bae434e2": {
   "en": "Tactile Affordance Perception Pipeline",
   "zh": "触觉可供性感知管线",
   "level": "l2"
  },
  "CAP_e86d1b5a": {
   "en": "Photometric Stereo Reconstruction",
   "zh": "光度立体表面重建",
   "level": "l3"
  },
  "CAP_a18aeac0": {
   "en": "Tactile Slip Detection",
   "zh": "触觉滑移检测",
   "level": "l3"
  },
  "CAP_28e85ed5": {
   "en": "Contact Quality Assessment",
   "zh": "接触质量评估",
   "level": "l3"
  },
  "CAP_54accece": {
   "en": "3D Affordance Scene Graph Construction",
   "zh": "3D可供性场景图构建",
   "level": "l2"
  },
  "CAP_0ab86c8c": {
   "en": "Class-Agnostic 3D Object Instance Mapping",
   "zh": "类别无关3D物体实例映射",
   "level": "l3"
  },
  "CAP_35659ea9": {
   "en": "Cross-View Object Association and Fusion",
   "zh": "跨视角物体关联与融合",
   "level": "l3"
  },
  "CAP_7fe15b13": {
   "en": "Open-Vocabulary Object Semantic Captioning",
   "zh": "开放词汇物体语义标注",
   "level": "l3"
  },
  "CAP_991341eb": {
   "en": "LLM Inter-Object Affordance Relation Reasoning",
   "zh": "LLM物体间可供性关系推理",
   "level": "l3"
  },
  "CAP_8ec77089": {
   "en": "Scene Graph-Driven LLM Task Planning",
   "zh": "场景图驱动LLM任务规划",
   "level": "l3"
  },
  "CAP_8d02b518": {
   "en": "Affordance Verification and Replanning",
   "zh": "可供性验证与重规划",
   "level": "l3"
  },
  "CAP_1160c28e": {
   "en": "KG-Based Symbolic Affordance Reasoning",
   "zh": "基于知识图谱的可供性符号推理",
   "level": "l2"
  },
  "CAP_30883bed": {
   "en": "Object-Affordance Ontology Mapping",
   "zh": "物体-可供性本体映射",
   "level": "l3"
  },
  "CAP_a1296a51": {
   "en": "Symbolic Affordance Relation Reasoning",
   "zh": "符号可供性关系推理",
   "level": "l3"
  },
  "CAP_cfb656b1": {
   "en": "Affordance KG-Based Planning",
   "zh": "基于可供性知识图谱的规划",
   "level": "l3"
  },
  "CAP_062fa054": {
   "en": "End-to-End Multimodal Affordance Reasoning and Acting",
   "zh": "端到端多模态可供性关系推理与动作",
   "level": "l2"
  },
  "CAP_b27cd792": {
   "en": "Interleaved Multimodal Input Encoding",
   "zh": "交错多模态输入编码",
   "level": "l3"
  },
  "CAP_6394761b": {
   "en": "Physical Commonsense Embodied Reasoning",
   "zh": "物理常识具身推理",
   "level": "l3"
  },
  "CAP_e802b87a": {
   "en": "Interleaved Reasoning-Action Generation",
   "zh": "交错推理-动作生成",
   "level": "l3"
  },
  "CAP_5aaf1f2f": {
   "en": "Reasoning-Action Closed-Loop Feedback",
   "zh": "推理-动作闭环反馈",
   "level": "l3"
  },
  "CAP_e15b60de": {
   "en": "Encoder-Decoder Dense Prediction for Affordance",
   "zh": "编码器-解码器可供性密集预测",
   "level": "l3"
  },
  "CAP_3cd5bc4b": {
   "en": "Heatmap-to-Grasp Parameter Extraction",
   "zh": "热力图到抓取参数提取",
   "level": "l3"
  },
  "CAP_69c17580": {
   "en": "3D Point Cloud Perception for Affordance",
   "zh": "3D点云感知（可供性）",
   "level": "l2"
  },
  "CAP_f62c561f": {
   "en": "3D Per-Point Affordance Scoring",
   "zh": "3D逐点可供性评分",
   "level": "l2"
  },
  "CAP_5e9c9c57": {
   "en": "Actionability Score Prediction",
   "zh": "可操作性分数预测",
   "level": "l3"
  },
  "CAP_402ab64c": {
   "en": "Interaction Outcome Scoring",
   "zh": "交互结果评分",
   "level": "l3"
  },
  "CAP_3fe00cd7": {
   "en": "Interaction Selection and Execution",
   "zh": "交互选择与执行",
   "level": "l2"
  },
  "CAP_ed10157e": {
   "en": "Optimal Interaction Point Selection",
   "zh": "最优交互点选择",
   "level": "l3"
  },
  "CAP_86ee0e2b": {
   "en": "Simulation-based Interaction Validation",
   "zh": "基于仿真的交互验证",
   "level": "l3"
  },
  "CAP_4c5fca85": {
   "en": "Modular Pipeline Grasp Execution",
   "zh": "模块化管线抓取执行",
   "level": "l3"
  },
  "CAP_8c0f1a3e": {
   "en": "Agent Card Publication and Discovery",
   "zh": "Agent Card发布与发现",
   "level": "l2"
  },
  "CAP_be39e6e3": {
   "en": "Agent Skill Definition",
   "zh": "Agent技能定义",
   "level": "l3"
  },
  "CAP_1f335854": {
   "en": "Enterprise Authentication and Authorization",
   "zh": "企业级认证与授权",
   "level": "l3"
  },
  "CAP_bb7614bc": {
   "en": "JSON-RPC 2.0 Request Building",
   "zh": "JSON-RPC 2.0请求构造",
   "level": "l3"
  },
  "CAP_e9326469": {
   "en": "A2A Task Lifecycle State Machine",
   "zh": "A2A任务生命周期状态机",
   "level": "l2"
  },
  "CAP_9ac5e0e0": {
   "en": "SSE Stream Event Processing",
   "zh": "SSE事件流处理",
   "level": "l3"
  },
  "CAP_eafca35d": {
   "en": "Push Notification Configuration",
   "zh": "推送通知配置",
   "level": "l3"
  },
  "CAP_dc39d613": {
   "en": "Multi-Turn Dialog Management",
   "zh": "多轮对话管理",
   "level": "l3"
  },
  "CAP_bbed366a": {
   "en": "A2A Artifact Delivery and Context Management",
   "zh": "A2A产出交付与上下文管理",
   "level": "l3"
  },
  "CAP_2dd361ad": {
   "en": "Offline Agent Discovery",
   "zh": "离线Agent发现",
   "level": "l3"
  },
  "CAP_139c1352": {
   "en": "RESTful Agent Message Exchange",
   "zh": "RESTful消息交换",
   "level": "l2"
  },
  "CAP_5a289e39": {
   "en": "MIME Type Content Handling",
   "zh": "MIME类型内容处理",
   "level": "l3"
  },
  "CAP_5e8570a3": {
   "en": "Stateful Agent Session Management",
   "zh": "有状态会话管理",
   "level": "l3"
  },
  "CAP_d1ab8575": {
   "en": "Enterprise Cross-Platform Agent Integration",
   "zh": "企业级跨平台Agent集成",
   "level": "l3"
  },
  "CAP_b3e99fda": {
   "en": "Decentralized Identity and Encrypted Communication",
   "zh": "去中心化身份与加密通信",
   "level": "l3"
  },
  "CAP_bf4912ea": {
   "en": "Semantic Web Capability Description",
   "zh": "语义网能力描述",
   "level": "l3"
  },
  "CAP_54605212": {
   "en": "Agent Auto-Organization",
   "zh": "Agent自动组织",
   "level": "l3"
  },
  "CAP_ce920ae2": {
   "en": "Communicative Act Selection and Semantic Execution",
   "zh": "通信行为选择与语义执行",
   "level": "l2"
  },
  "CAP_ea374a26": {
   "en": "Ontology Declaration and Knowledge Representation",
   "zh": "本体声明与知识表示",
   "level": "l3"
  },
  "CAP_d35904ee": {
   "en": "Directory Facilitator Registration",
   "zh": "目录服务注册",
   "level": "l3"
  },
  "CAP_cfb8652a": {
   "en": "Contract Net Protocol",
   "zh": "合同网协议",
   "level": "l3"
  },
  "CAP_fddd2759": {
   "en": "Immutable Decision Audit Trail",
   "zh": "不可篡改决策审计追踪",
   "level": "l2"
  },
  "CAP_01a43979": {
   "en": "Robot Runtime Data Recording",
   "zh": "机器人运行时数据记录",
   "level": "l3"
  },
  "CAP_b5cc858e": {
   "en": "AI Inference Trace Recording",
   "zh": "AI推理轨迹记录",
   "level": "l3"
  },
  "CAP_83474a06": {
   "en": "Audit Event CADF Standardization",
   "zh": "审计事件CADF标准化",
   "level": "l3"
  },
  "CAP_3520f3b6": {
   "en": "Audit Event Cryptographic Hashing",
   "zh": "审计事件密码学哈希",
   "level": "l3"
  },
  "CAP_2859a0cb": {
   "en": "Merkle Tree Leaf Integration",
   "zh": "Merkle树叶子集成",
   "level": "l3"
  },
  "CAP_643de501": {
   "en": "Tamper-Evident Audit Logging",
   "zh": "防篡改审计日志",
   "level": "l3"
  },
  "CAP_8f7d5611": {
   "en": "Audit Integrity Verification",
   "zh": "审计完整性验证",
   "level": "l3"
  },
  "CAP_dc619289": {
   "en": "Accountability Documentation Pipeline",
   "zh": "问责文档管线",
   "level": "l2"
  },
  "CAP_242506fa": {
   "en": "Model Metadata Collection",
   "zh": "模型元数据采集",
   "level": "l3"
  },
  "CAP_201c8c69": {
   "en": "Model Performance and Limitation Documentation",
   "zh": "模型性能与限制文档化",
   "level": "l3"
  },
  "CAP_d28abff9": {
   "en": "Model Card Generation and Validation",
   "zh": "模型卡生成与验证",
   "level": "l3"
  },
  "CAP_a8b10553": {
   "en": "Dataset Metadata Collection",
   "zh": "数据集元数据采集",
   "level": "l3"
  },
  "CAP_0b4aef5b": {
   "en": "Datasheet Generation",
   "zh": "数据表生成",
   "level": "l3"
  },
  "CAP_2545f2f8": {
   "en": "System Component Documentation",
   "zh": "系统组件文档化",
   "level": "l3"
  },
  "CAP_f41140ba": {
   "en": "System FactSheet Generation and Publication",
   "zh": "系统说明书生成与发布",
   "level": "l3"
  },
  "CAP_bf279857": {
   "en": "Post-hoc Fault Attribution and Accountability Analysis",
   "zh": "事后故障归因与问责分析",
   "level": "l2"
  },
  "CAP_75e0d8ff": {
   "en": "Audit Log Extraction for Incident",
   "zh": "事故审计日志提取",
   "level": "l3"
  },
  "CAP_b753d367": {
   "en": "System Topology Snapshot",
   "zh": "系统拓扑快照",
   "level": "l3"
  },
  "CAP_28a18fee": {
   "en": "Incident Classification and Severity Assessment",
   "zh": "事故分类与严重度评估",
   "level": "l3"
  },
  "CAP_101a0fe4": {
   "en": "Causal Graph Construction",
   "zh": "因果图构建",
   "level": "l3"
  },
  "CAP_27bba83b": {
   "en": "Counterfactual Inference for Attribution",
   "zh": "反事实归因推断",
   "level": "l3"
  },
  "CAP_bcc3e2d1": {
   "en": "Accountability Assignment",
   "zh": "责任裁定",
   "level": "l3"
  },
  "CAP_5e365223": {
   "en": "Accountability Report Generation",
   "zh": "问责报告生成",
   "level": "l3"
  },
  "CAP_11068bc0": {
   "en": "Bias Mitigation Pre-processing",
   "zh": "数据预处理偏见缓解",
   "level": "l2"
  },
  "CAP_88b0a0d7": {
   "en": "Configure Protected Attributes and Labels",
   "zh": "受保护属性和标签配置",
   "level": "l3"
  },
  "CAP_9b107c91": {
   "en": "Pre-Intervention Data Bias Baseline Audit",
   "zh": "干预前数据偏见基线审计",
   "level": "l3"
  },
  "CAP_0e42e151": {
   "en": "Reweighing-based Bias Mitigation",
   "zh": "实例重加权去偏",
   "level": "l3"
  },
  "CAP_c3c61e7d": {
   "en": "Disparate Impact Removal",
   "zh": "特征差异影响消除",
   "level": "l3"
  },
  "CAP_6998e619": {
   "en": "Optimized Preprocessing Transformation",
   "zh": "优化预处理变换",
   "level": "l3"
  },
  "CAP_1dd50ded": {
   "en": "Fair Representation Learning Data Transform",
   "zh": "公平表示学习数据变换",
   "level": "l3"
  },
  "CAP_64aa484b": {
   "en": "Sensitive Feature Correlation Removal",
   "zh": "敏感特征相关消除",
   "level": "l3"
  },
  "CAP_53699aad": {
   "en": "Post-Transformation Verification and Export",
   "zh": "变换后数据集导出与验证",
   "level": "l3"
  },
  "CAP_b6ab873c": {
   "en": "Fairness-Constrained Training",
   "zh": "训练中公平约束训练",
   "level": "l2"
  },
  "CAP_abc25240": {
   "en": "Model and Fairness Metric Configuration",
   "zh": "模型与公平性指标配置",
   "level": "l3"
  },
  "CAP_e8540ba9": {
   "en": "Baseline Unconstrained Model Training",
   "zh": "基线偏差模型训练",
   "level": "l3"
  },
  "CAP_5814c033": {
   "en": "Adversarial Debiasing Training",
   "zh": "对抗去偏训练",
   "level": "l3"
  },
  "CAP_48635743": {
   "en": "Prejudice Remover Regularized Training",
   "zh": "偏见去除正则化训练",
   "level": "l3"
  },
  "CAP_8b188a5a": {
   "en": "Exponentiated Gradient Reduction Training",
   "zh": "指数梯度公平缩减训练",
   "level": "l3"
  },
  "CAP_77a55126": {
   "en": "Grid Search Reduction Training",
   "zh": "网格搜索公平缩减训练",
   "level": "l3"
  },
  "CAP_9c1c6eff": {
   "en": "GerryFair Subgroup Fairness Training",
   "zh": "子群公平性训练",
   "level": "l3"
  },
  "CAP_f15dc706": {
   "en": "Post-processing Fairness Calibration",
   "zh": "后处理公平校准",
   "level": "l2"
  },
  "CAP_502f5897": {
   "en": "Trained Model Inference and Score Collection",
   "zh": "已训练模型推理与预测分数收集",
   "level": "l3"
  },
  "CAP_9e23ce10": {
   "en": "Pre-Intervention Model Fairness Baseline Audit",
   "zh": "干预前模型基线公平性审计",
   "level": "l3"
  },
  "CAP_478c182b": {
   "en": "Reject Option Classification Calibration",
   "zh": "拒绝选项分类校准",
   "level": "l3"
  },
  "CAP_3e4ae166": {
   "en": "Calibrated Equalized Odds Postprocessing",
   "zh": "校准均等赔率后处理",
   "level": "l3"
  },
  "CAP_d52019d9": {
   "en": "Equalized Odds LP Postprocessing",
   "zh": "均等赔率线性规划后处理",
   "level": "l3"
  },
  "CAP_645ec916": {
   "en": "Group-Specific Threshold Optimization",
   "zh": "分组阈值优化校准",
   "level": "l3"
  },
  "CAP_f1fd09da": {
   "en": "Calibration Effect Verification and Config Export",
   "zh": "校准效果验证与配置导出",
   "level": "l3"
  },
  "CAP_5fd23f54": {
   "en": "Fairness Auditing and Monitoring",
   "zh": "公平性审计与持续监控",
   "level": "l2"
  },
  "CAP_64093451": {
   "en": "Dataset-Level Fairness Metric Computation",
   "zh": "数据集级公平性指标计算",
   "level": "l3"
  },
  "CAP_a5a70a12": {
   "en": "Model-Level Group Fairness Metric Computation",
   "zh": "模型级群组公平性指标计算",
   "level": "l3"
  },
  "CAP_c3bfc9e9": {
   "en": "Individual Fairness Metric Computation",
   "zh": "个体公平性指标计算",
   "level": "l3"
  },
  "CAP_1f352b97": {
   "en": "Subgroup Decomposition and Intersectional Analysis",
   "zh": "子群分解与交叉公平性分析",
   "level": "l3"
  },
  "CAP_5daa78e5": {
   "en": "Audit Report Generation and Compliance Archiving",
   "zh": "审计报告生成与合规归档",
   "level": "l3"
  },
  "CAP_2cb67703": {
   "en": "Interactive Fairness Visualization Exploration",
   "zh": "交互式公平性可视化探查",
   "level": "l3"
  },
  "CAP_99863094": {
   "en": "Robust Loss Computation",
   "zh": "鲁棒损失计算",
   "level": "l3"
  },
  "CAP_7c156521": {
   "en": "Standardized Robustness Evaluation",
   "zh": "标准化鲁棒性评估",
   "level": "l3"
  },
  "CAP_4614fde4": {
   "en": "Randomized Smoothing Certification",
   "zh": "随机平滑认证",
   "level": "l2"
  },
  "CAP_f88fb90d": {
   "en": "Gaussian Augmentation Training",
   "zh": "高斯数据增强训练",
   "level": "l3"
  },
  "CAP_28bcd90a": {
   "en": "Certified Radius Computation",
   "zh": "认证半径计算",
   "level": "l3"
  },
  "CAP_f4c40b89": {
   "en": "Entropy Minimization Adaptation",
   "zh": "熵最小化适应",
   "level": "l3"
  },
  "CAP_e4664b5a": {
   "en": "Continual Test-Time Adaptation",
   "zh": "持续测试时适应",
   "level": "l3"
  },
  "CAP_02860302": {
   "en": "Out-of-Distribution Detection",
   "zh": "分布外检测",
   "level": "l2"
  },
  "CAP_a1c5f019": {
   "en": "OOD Score Computation",
   "zh": "OOD分数计算",
   "level": "l3"
  },
  "CAP_8300c430": {
   "en": "Anomaly Detection via Reconstruction",
   "zh": "重构异常检测",
   "level": "l3"
  },
  "CAP_b62a7d2a": {
   "en": "DR Parameter Sampling",
   "zh": "域随机化参数采样",
   "level": "l3"
  },
  "CAP_57307105": {
   "en": "OOD Rejection and Safe Fallback",
   "zh": "OOD 拒绝与安全降级",
   "level": "l3"
  },
  "CAP_06cb92e3": {
   "en": "Randomized Environment RL Training",
   "zh": "随机化环境强化学习训练",
   "level": "l3"
  },
  "CAP_d38a5e86": {
   "en": "ISO 42001 AIMS Certification Chain",
   "zh": "ISO 42001 AIMS 认证链",
   "level": "l3"
  },
  "CAP_d8d375a8": {
   "en": "AI Risk Treatment Planning",
   "zh": "AI 风险处置计划",
   "level": "l3"
  },
  "CAP_4a1a71e2": {
   "en": "AI Risk Impact Assessment & Prioritization",
   "zh": "AI 风险影响评估与优先级排序",
   "level": "l3"
  },
  "CAP_dbd32173": {
   "en": "Algorithmic Impact Assessment Tooling",
   "zh": "算法影响评估工具",
   "level": "l3"
  },
  "CAP_25f9e109": {
   "en": "Risk-Controls Standards Mapping",
   "zh": "风险-控制标准映射",
   "level": "l3"
  },
  "CAP_c0eec24b": {
   "en": "AI Continuous Risk Monitoring",
   "zh": "AI 持续风险监控",
   "level": "l3"
  },
  "CAP_16b73184": {
   "en": "Safety Case Hazard & ODD Scoping",
   "zh": "安全案例危害与 ODD 范围界定",
   "level": "l3"
  },
  "CAP_0f3d289f": {
   "en": "ODD & Safety Goal Definition",
   "zh": "ODD 与安全目标定义",
   "level": "l3"
  },
  "CAP_d86eb0d8": {
   "en": "Safety Case Pattern Instantiation",
   "zh": "安全案例模式实例化",
   "level": "l3"
  },
  "CAP_5ffe5b56": {
   "en": "Safety Evidence Identification & Mapping",
   "zh": "安全证据识别与映射",
   "level": "l3"
  },
  "CAP_10c74eb9": {
   "en": "Evidence Sufficiency Assessment",
   "zh": "证据充分性评估",
   "level": "l3"
  },
  "CAP_290225ff": {
   "en": "Independent Safety Assessment",
   "zh": "独立安全评估",
   "level": "l3"
  },
  "CAP_09a1e774": {
   "en": "Safety Case Baseline Management",
   "zh": "安全案例基线管理",
   "level": "l3"
  },
  "CAP_1acab6ca": {
   "en": "Safety Case Construction Chain",
   "zh": "安全案例构建链",
   "level": "l3"
  },
  "CAP_b0404cc9": {
   "en": "Functional Safety Engineering Chain",
   "zh": "功能安全工程链",
   "level": "l3"
  },
  "CAP_b6ad59c5": {
   "en": "HARA for AI Systems",
   "zh": "AI 系统 HARA",
   "level": "l3"
  },
  "CAP_c0a5c732": {
   "en": "HARA to Safety Goal Definition",
   "zh": "HARA 到安全目标定义",
   "level": "l3"
  },
  "CAP_226864cd": {
   "en": "Functional Safety Concept for AI",
   "zh": "AI 功能安全概念",
   "level": "l3"
  },
  "CAP_a96d7afd": {
   "en": "FMEDA Safety Goal Scoping",
   "zh": "FMEDA 安全目标界定",
   "level": "l3"
  },
  "CAP_12fc8582": {
   "en": "ASIL Decomposition and Independence Argument",
   "zh": "ASIL 分解与独立性论证",
   "level": "l3"
  },
  "CAP_56589c1f": {
   "en": "ALM Requirements Traceability",
   "zh": "ALM 需求追溯",
   "level": "l3"
  },
  "CAP_3cd9d748": {
   "en": "ISO 26262 Fault Injection Test Case Design",
   "zh": "ISO 26262 故障注入测试用例设计",
   "level": "l3"
  },
  "CAP_26cff973": {
   "en": "ISO 26262 Hardware Safety Metric Calculation",
   "zh": "ISO 26262 硬件安全指标核算",
   "level": "l3"
  },
  "CAP_c3af08c6": {
   "en": "FMEDA Metric Verification",
   "zh": "FMEDA 指标验证",
   "level": "l3"
  },
  "CAP_06a91bb4": {
   "en": "FMEDA Documentation Compilation",
   "zh": "FMEDA 文档汇编",
   "level": "l3"
  },
  "CAP_332355aa": {
   "en": "FMEDA Compliance Assessment",
   "zh": "FMEDA 合规性评估",
   "level": "l3"
  },
  "CAP_28bb3499": {
   "en": "ISO 26262 HIL Safety Certification Test Suite",
   "zh": "ISO 26262 HIL 安全认证测试套件",
   "level": "l3"
  },
  "CAP_d62a43d6": {
   "en": "Production Safety & Field Operations Management",
   "zh": "生产安全与现场运营管理",
   "level": "l3"
  },
  "CAP_f278465a": {
   "en": "Epistemic Aleatoric Uncertainty Decomposition",
   "zh": "认知与偶然不确定性分解",
   "level": "l2"
  },
  "CAP_1f9052eb": {
   "en": "MC Dropout Stochastic Inference",
   "zh": "MC Dropout 随机推理",
   "level": "l3"
  },
  "CAP_3556ea08": {
   "en": "Ensemble Multi-Model Inference",
   "zh": "集成多模型推理",
   "level": "l3"
  },
  "CAP_7a268d1e": {
   "en": "Deep Ensemble Variance Decomposition",
   "zh": "深度集成方差分解",
   "level": "l3"
  },
  "CAP_0c0465af": {
   "en": "Evidential Prior Head Configuration",
   "zh": "证据先验头配置",
   "level": "l3"
  },
  "CAP_debddee0": {
   "en": "Evidence Regularized Training",
   "zh": "证据正则化训练",
   "level": "l3"
  },
  "CAP_e6b71540": {
   "en": "Single Pass Uncertainty Decomposition",
   "zh": "单次前向不确定性分解",
   "level": "l3"
  },
  "CAP_e2ff4079": {
   "en": "PromQL Rule Evaluation",
   "zh": "PromQL 规则评估",
   "level": "l3"
  },
  "CAP_503d90cd": {
   "en": "Alert Pipeline Processing",
   "zh": "告警流水线处理",
   "level": "l2"
  },
  "CAP_7bfffdc6": {
   "en": "Alert Deduplication",
   "zh": "告警指纹去重",
   "level": "l3"
  },
  "CAP_4ce6e9da": {
   "en": "Alert Grouping",
   "zh": "告警分组聚合",
   "level": "l3"
  },
  "CAP_42ab30ff": {
   "en": "Alert Inhibition",
   "zh": "告警抑制",
   "level": "l3"
  },
  "CAP_b004093a": {
   "en": "Alert Silence Management",
   "zh": "告警静默管理",
   "level": "l3"
  },
  "CAP_bb426a47": {
   "en": "Multi-Channel Notification",
   "zh": "多渠道通知分发",
   "level": "l3"
  },
  "CAP_4d59c282": {
   "en": "Multi-Provider Connector",
   "zh": "多 Provider 连接器",
   "level": "l3"
  },
  "CAP_afd93fde": {
   "en": "AI Alert Processing",
   "zh": "AI 告警智能处理",
   "level": "l2"
  },
  "CAP_cedf14f3": {
   "en": "ML Alert Correlation",
   "zh": "ML 告警关联",
   "level": "l3"
  },
  "CAP_bb5e6067": {
   "en": "Incident Orchestration",
   "zh": "事件编排响应",
   "level": "l2"
  },
  "CAP_79a54f2b": {
   "en": "Bi-Directional Sync",
   "zh": "双向状态同步",
   "level": "l3"
  },
  "CAP_2e0af2cf": {
   "en": "OTel Collector Pipeline",
   "zh": "OTel Collector Pipeline 配置",
   "level": "l3"
  },
  "CAP_e20265a7": {
   "en": "Streaming Alert Evaluation",
   "zh": "流式告警评估",
   "level": "l2"
  },
  "CAP_20d57f66": {
   "en": "Kafka Telemetry Bus",
   "zh": "Kafka 遥测事件总线",
   "level": "l3"
  },
  "CAP_df56c134": {
   "en": "Windowed Aggregation",
   "zh": "窗口聚合",
   "level": "l3"
  },
  "CAP_d1f42b8c": {
   "en": "Event-Driven Alert Dispatch",
   "zh": "事件驱动告警分发",
   "level": "l3"
  },
  "CAP_8f3a2b1c": {
   "en": "Ambient Sound Recognition",
   "zh": "环境声音识别",
   "level": "l2"
  },
  "CAP_1d4e5f67": {
   "en": "Audio Capture & Preprocessing",
   "zh": "音频采集与预处理",
   "level": "l3"
  },
  "CAP_a2b3c4d5": {
   "en": "Silence Removal & Sound Activity Detection",
   "zh": "静音移除与声音活动检测",
   "level": "l3"
  },
  "CAP_e6f7a8b9": {
   "en": "Short-Term Acoustic Feature Extraction",
   "zh": "短时声学特征提取",
   "level": "l3"
  },
  "CAP_a4b5c6d7": {
   "en": "Feature Normalization for Audio Classification",
   "zh": "音频分类特征归一化",
   "level": "l3"
  },
  "CAP_54680842": {
   "en": "Mel Spectrogram Computation",
   "zh": "Mel 频谱图计算",
   "level": "l3"
  },
  "CAP_f0a1b2c3": {
   "en": "Pretrained Audio Model Loading & Inference",
   "zh": "预训练音频模型加载与推理",
   "level": "l3"
  },
  "CAP_d4e5f6a7": {
   "en": "Score Aggregation & Top-K for Audio Classification",
   "zh": "音频分类分数聚合与 Top-K 选择",
   "level": "l3"
  },
  "CAP_0b0702d4": {
   "en": "CLAP Text Prompt Engineering",
   "zh": "CLAP 文本提示工程",
   "level": "l3"
  },
  "CAP_51a4e232": {
   "en": "Ambient Temperature Thermal Zone Configuration",
   "zh": "环境温度 Thermal Zone 配置",
   "level": "l2"
  },
  "CAP_21abe0b7": {
   "en": "IPA PID Power Allocation Control",
   "zh": "IPA PID 功率分配控制",
   "level": "l2"
  },
  "CAP_ae4a8f22": {
   "en": "Ambient Temperature Sensor Driver Integration",
   "zh": "环境温度传感器驱动集成",
   "level": "l3"
  },
  "CAP_5b995755": {
   "en": "Ambient Thermal Trip Point Configuration",
   "zh": "环境温度 Trip Point 配置",
   "level": "l3"
  },
  "CAP_9edcc740": {
   "en": "Sustainable Power Calculation",
   "zh": "可持续功率计算",
   "level": "l3"
  },
  "CAP_0a34165c": {
   "en": "Cooling Device Weight Binding",
   "zh": "冷却设备权重绑定",
   "level": "l3"
  },
  "CAP_1b1ae262": {
   "en": "IPA PID Parameter Tuning",
   "zh": "IPA PID 参数调优",
   "level": "l3"
  },
  "CAP_1cd2d590": {
   "en": "Thermal Sysfs Runtime Monitoring",
   "zh": "Thermal Sysfs 运行时监控",
   "level": "l3"
  },
  "CAP_5c867679": {
   "en": "Application-Level Ambient Temperature Load Adaptation",
   "zh": "应用层环境温度负载适应",
   "level": "l2"
  },
  "CAP_019773ac": {
   "en": "Ambient Temperature Sensor Reading",
   "zh": "环境温度传感器读取",
   "level": "l3"
  },
  "CAP_35fc5938": {
   "en": "Thermal State Classification",
   "zh": "热状态分类",
   "level": "l3"
  },
  "CAP_1604dcbc": {
   "en": "Cgroups CPU Limit",
   "zh": "cgroups CPU 限制",
   "level": "l3"
  },
  "CAP_4b31fbd0": {
   "en": "ROS Topic Rate Throttle",
   "zh": "ROS 话题频率限制",
   "level": "l3"
  },
  "CAP_7617bf41": {
   "en": "Strategy Feedback Tuning",
   "zh": "策略反馈调优",
   "level": "l3"
  },
  "CAP_454e7c59": {
   "en": "Platform Power Mode Switching",
   "zh": "平台功率模式切换",
   "level": "l2"
  },
  "CAP_cc952c32": {
   "en": "Nvpmodel Mode Switching",
   "zh": "nvpmodel 模式切换",
   "level": "l3"
  },
  "CAP_89ed919a": {
   "en": "CPUFreq Governor Switching",
   "zh": "cpufreq Governor 切换",
   "level": "l3"
  },
  "CAP_461c2a3a": {
   "en": "Mode Switch Hysteresis Debounce",
   "zh": "模式切换迟滞防抖",
   "level": "l3"
  },
  "CAP_9d16089b": {
   "en": "Mode Verification and Logging",
   "zh": "模式切换验证与日志",
   "level": "l3"
  },
  "CAP_fa12b4cd": {
   "en": "Ambient Scenario Definition",
   "zh": "环境场景定义",
   "level": "l2"
  },
  "CAP_7ee4e2d2": {
   "en": "Ambient Temperature Profile Definition",
   "zh": "环境温度剖面定义",
   "level": "l3"
  },
  "CAP_16451148": {
   "en": "Solar Radiation Load Modeling",
   "zh": "太阳辐射热负荷建模",
   "level": "l3"
  },
  "CAP_c0938d93": {
   "en": "Environmental Altitude Correction",
   "zh": "环境海拔修正",
   "level": "l3"
  },
  "CAP_aeb73e36": {
   "en": "Thermal Network Construction",
   "zh": "热网络构建",
   "level": "l2"
  },
  "CAP_fe911301": {
   "en": "Robot Heat Source Identification",
   "zh": "机器人热源识别与建模",
   "level": "l3"
  },
  "CAP_c3530c8b": {
   "en": "Thermal Network Topology Construction",
   "zh": "热网络拓扑构建",
   "level": "l3"
  },
  "CAP_af152ed5": {
   "en": "Thermal ODE System Solution",
   "zh": "热常微分方程组求解",
   "level": "l3"
  },
  "CAP_451de4a3": {
   "en": "Thermal Protection Logic Implementation",
   "zh": "热保护逻辑实现",
   "level": "l3"
  },
  "CAP_147f3fca": {
   "en": "Thermal Safety Margin Assessment",
   "zh": "热安全裕度评估",
   "level": "l3"
  },
  "CAP_5088492a": {
   "en": "Environmental Data Collection",
   "zh": "环境数据采集",
   "level": "l3"
  },
  "CAP_c6c59842": {
   "en": "Feature Engineering",
   "zh": "特征工程",
   "level": "l3"
  },
  "CAP_a475bd2c": {
   "en": "Thermal Surrogate Model Training",
   "zh": "热代理模型训练",
   "level": "l3"
  },
  "CAP_917e2ec3": {
   "en": "Ambient Temperature Safety Prediction",
   "zh": "环境温度安全预测",
   "level": "l3"
  },
  "CAP_6e55d3bc": {
   "en": "Ambient Boundary Condition as PINN Loss",
   "zh": "环境边界条件 PINN 编码",
   "level": "l3"
  },
  "CAP_78000634": {
   "en": "PINN Training for Temperature Field",
   "zh": "PINN 温度场训练",
   "level": "l3"
  },
  "CAP_b0947a1b": {
   "en": "Thermal Safety Assessment from PINN Field",
   "zh": "PINN 温度场安全评估",
   "level": "l3"
  },
  "CAP_9acdc7b1": {
   "en": "Complex Instruction Parsing via VLM",
   "zh": "基于VLM的复杂指令解析",
   "level": "l3"
  },
  "CAP_3fadd372": {
   "en": "Clarification Dialogue & Verbal Response",
   "zh": "澄清对话与口头响应",
   "level": "l3"
  },
  "CAP_31d839c8": {
   "en": "Hierarchical VLM Instruction Clarification & Recovery",
   "zh": "分层VLM指令澄清恢复",
   "level": "l3"
  },
  "CAP_7e377566": {
   "en": "Multi-Signal Uncertainty Fusion",
   "zh": "多信号不确定性融合",
   "level": "l3"
  },
  "CAP_a37c3d04": {
   "en": "LLM/VLM Self-Consistency Uncertainty Detection",
   "zh": "LLM/VLM自洽性不确定性检测",
   "level": "l3"
  },
  "CAP_600e4f55": {
   "en": "Self-Consistency Agreement Scoring",
   "zh": "自洽性一致性评分",
   "level": "l3"
  },
  "CAP_4e1fe0e4": {
   "en": "Temperature Scaling Confidence Calibration",
   "zh": "温度缩放置信度校准",
   "level": "l3"
  },
  "CAP_76833d93": {
   "en": "Dialogue Uncertainty Confidence Gating",
   "zh": "对话不确定性置信度门控",
   "level": "l3"
  },
  "CAP_f6a7b8c9": {
   "en": "LLM Code Generation for Instruction Disambiguation",
   "zh": "LLM代码生成指令消歧",
   "level": "l3"
  },
  "CAP_d0e1f2a3": {
   "en": "Structured Query Parsing for Disambiguation",
   "zh": "结构化消歧查询解析",
   "level": "l3"
  },
  "CAP_e1f2a3b4": {
   "en": "Weighted Scoring Constraint Matching Disambiguation",
   "zh": "加权评分约束匹配消歧",
   "level": "l3"
  },
  "CAP_f2a3b4c5": {
   "en": "Scene Graph Object Localization and Execution",
   "zh": "场景图物体定位与执行",
   "level": "l3"
  },
  "CAP_203507fe": {
   "en": "Multimodal Observation Acquisition",
   "zh": "多模态观测采集",
   "level": "l3"
  },
  "CAP_1f261841": {
   "en": "Behavior Feature Encoding",
   "zh": "行为特征编码",
   "level": "l3"
  },
  "CAP_ba8bbf42": {
   "en": "Observation Space Discretization",
   "zh": "观测空间离散化",
   "level": "l3"
  },
  "CAP_460259be": {
   "en": "Multi-hypothesis Intent Belief Initialization",
   "zh": "多假设意图信念初始化",
   "level": "l3"
  },
  "CAP_80892e5b": {
   "en": "POMDP Intent Reasoning Modeling",
   "zh": "POMDP意图推理建模",
   "level": "l2"
  },
  "CAP_ba566383": {
   "en": "Intent Belief Entropy Assessment",
   "zh": "意图信念熵评估",
   "level": "l3"
  },
  "CAP_216fd371": {
   "en": "Maximum A Posteriori Intent Selection",
   "zh": "最大后验意图选择",
   "level": "l3"
  },
  "CAP_906268ca": {
   "en": "Maximum Entropy Inverse RL Reward Inference",
   "zh": "最大熵逆强化学习奖励推断",
   "level": "l3"
  },
  "CAP_8c76a2fb": {
   "en": "Multiple-Objective Inverse Planning Likelihood Calculation",
   "zh": "多目标逆规划似然计算",
   "level": "l3"
  },
  "CAP_226f0d2e": {
   "en": "Goal Probability Ranking and Convergence Assessment",
   "zh": "目标概率排序与收敛评估",
   "level": "l3"
  },
  "CAP_30c727d7": {
   "en": "Expected Information Gain Calculation",
   "zh": "预期信息增益计算",
   "level": "l3"
  },
  "CAP_52207b99": {
   "en": "Information Gain Driven Action Selection",
   "zh": "信息增益驱动动作选择",
   "level": "l3"
  },
  "CAP_3536d761": {
   "en": "Instruction Ambiguity Semantic Detection",
   "zh": "指令歧义语义检测",
   "level": "l3"
  },
  "CAP_9ba38242": {
   "en": "Multimodal Grounding Ambiguity Verification",
   "zh": "多模态接地歧义验证",
   "level": "l3"
  },
  "CAP_0a356ca2": {
   "en": "Natural Language Clarification Question Generation",
   "zh": "自然语言澄清问题生成",
   "level": "l3"
  },
  "CAP_ea36352e": {
   "en": "Clarification Dialogue Loop Management",
   "zh": "澄清对话闭环管理",
   "level": "l3"
  },
  "CAP_b695c283": {
   "en": "LLM Intent Reasoning and Disambiguation Decision",
   "zh": "LLM意图推理与消歧决策",
   "level": "l2"
  },
  "CAP_9bc36ab6": {
   "en": "ContinuousFeatureVectorQuantization",
   "zh": "连续特征向量量化",
   "level": "l3"
  },
  "CAP_f018d0a9": {
   "en": "Object Detection and Visible Mask Extraction",
   "zh": "目标检测与可见区域分割",
   "level": "l2"
  },
  "CAP_63b3ad5a": {
   "en": "Backbone Feature Pyramid and RoI Extraction",
   "zh": "骨干特征金字塔与RoI提取",
   "level": "l3"
  },
  "CAP_4b2fc8db": {
   "en": "Visible Mask Regression Head",
   "zh": "可见mask回归头",
   "level": "l3"
  },
  "CAP_c9218eb4": {
   "en": "Occlusion-Aware Amodal Mask Inference",
   "zh": "遮挡感知非模态mask推理",
   "level": "l2"
  },
  "CAP_8bd9ecd9": {
   "en": "Bilayer GCN Occlusion Decoupling",
   "zh": "双层GCN遮挡解耦",
   "level": "l3"
  },
  "CAP_b698f197": {
   "en": "Shape Prior Retrieval-Guided Amodal Completion",
   "zh": "形状先验检索引导非模态补全",
   "level": "l3"
  },
  "CAP_e6153718": {
   "en": "Occlusion Order Reasoning and Post-processing",
   "zh": "遮挡排序推理与后处理",
   "level": "l2"
  },
  "CAP_f13fee61": {
   "en": "Occlusion Order Graph Construction",
   "zh": "遮挡顺序图构建",
   "level": "l3"
  },
  "CAP_d55da80f": {
   "en": "Amodal Mask Upsampling and Refinement",
   "zh": "非模态mask上采样与精修",
   "level": "l3"
  },
  "CAP_a0d8c7c4": {
   "en": "Occluder Localization and ROI Conditioning",
   "zh": "遮挡定位与ROI条件构建",
   "level": "l2"
  },
  "CAP_325b621a": {
   "en": "SAM-based Modal Mask Prompting",
   "zh": "基于SAM的模态mask提示",
   "level": "l3"
  },
  "CAP_4cfe3c75": {
   "en": "Diffusion Conditional Input Assembly",
   "zh": "扩散条件输入组装",
   "level": "l3"
  },
  "CAP_428a61f5": {
   "en": "Latent Diffusion Amodal Completion",
   "zh": "潜在扩散非模态补全",
   "level": "l2"
  },
  "CAP_e5f6da96": {
   "en": "Conditional DDIM Amodal Synthesis",
   "zh": "条件DDIM非模态合成",
   "level": "l3"
  },
  "CAP_cb726eb5": {
   "en": "VAE Decoding to Completed RGB",
   "zh": "VAE解码为完整RGB图像",
   "level": "l3"
  },
  "CAP_745c990f": {
   "en": "Amodal Mask Extraction and Fusion",
   "zh": "非模态mask提取与融合",
   "level": "l2"
  },
  "CAP_c53e47e0": {
   "en": "Amodal Mask Extraction from Synthesis",
   "zh": "合成结果非模态mask提取",
   "level": "l3"
  },
  "CAP_e3206e97": {
   "en": "Downstream Enhancement via Amodal Completion",
   "zh": "非模态补全驱动下游增强",
   "level": "l3"
  },
  "CAP_c82cb113": {
   "en": "Keypoint Heatmap Detection",
   "zh": "关键点热力图检测",
   "level": "l2"
  },
  "CAP_54971d9c": {
   "en": "Keypoint Pairing and Grouping",
   "zh": "关键点配对与分组",
   "level": "l2"
  },
  "CAP_d2864613": {
   "en": "Corner Heatmap Prediction",
   "zh": "角点热力图预测",
   "level": "l3"
  },
  "CAP_94df1758": {
   "en": "Center Heatmap Prediction",
   "zh": "中心点热力图预测",
   "level": "l3"
  },
  "CAP_3b05ad7f": {
   "en": "Cascade Corner Pooling",
   "zh": "级联角点池化",
   "level": "l3"
  },
  "CAP_b9245624": {
   "en": "Heatmap Peak Extraction",
   "zh": "热力图峰值提取",
   "level": "l3"
  },
  "CAP_4c69374f": {
   "en": "Associative Embedding Pairing",
   "zh": "关联嵌入配对",
   "level": "l3"
  },
  "CAP_b13f2294": {
   "en": "Center Region Verification",
   "zh": "中心区域验证",
   "level": "l3"
  },
  "CAP_955061d1": {
   "en": "Offset Correction",
   "zh": "偏移修正",
   "level": "l3"
  },
  "CAP_956e7f9b": {
   "en": "Score Filtering and Soft-NMS",
   "zh": "分数过滤与Soft-NMS",
   "level": "l3"
  },
  "CAP_f772d12f": {
   "en": "Multi-Scale Backbone Feature Extraction",
   "zh": "多尺度骨干特征提取",
   "level": "l3"
  },
  "CAP_6f5c9f30": {
   "en": "Per-Pixel Dense Prediction Head",
   "zh": "逐像素密集预测头",
   "level": "l2"
  },
  "CAP_72257935": {
   "en": "Label Assignment and Post-Processing",
   "zh": "标签分配与后处理",
   "level": "l2"
  },
  "CAP_c5f8413b": {
   "en": "Center Heatmap Regression",
   "zh": "中心点热力图回归",
   "level": "l3"
  },
  "CAP_14c68dd5": {
   "en": "Per-Pixel Distance Regression",
   "zh": "逐像素距离回归",
   "level": "l3"
  },
  "CAP_50ba49ad": {
   "en": "Center-Ness Quality Scoring",
   "zh": "中心度质量评分",
   "level": "l3"
  },
  "CAP_4c402782": {
   "en": "Decoupled Classification and Regression Head",
   "zh": "解耦分类回归头",
   "level": "l3"
  },
  "CAP_26a02508": {
   "en": "SimOTA Dynamic Label Assignment",
   "zh": "SimOTA 动态标签分配",
   "level": "l3"
  },
  "CAP_55cad071": {
   "en": "Score Filtering and NMS",
   "zh": "分数过滤与NMS",
   "level": "l3"
  },
  "CAP_d746f44b": {
   "en": "CNN Backbone Image Encoding",
   "zh": "CNN 骨干图像编码",
   "level": "l3"
  },
  "CAP_5e601c1b": {
   "en": "Transformer Encoder Global Context Modeling",
   "zh": "Transformer 编码器全局上下文建模",
   "level": "l2"
  },
  "CAP_45fb04c7": {
   "en": "Set Prediction via Transformer Decoder",
   "zh": "Transformer 解码器集合预测",
   "level": "l2"
  },
  "CAP_6b334c3a": {
   "en": "Bipartite Matching Loss",
   "zh": "二分图匹配损失",
   "level": "l2"
  },
  "CAP_2d5ce1b3": {
   "en": "Global Self-Attention Encoding",
   "zh": "全局自注意力编码",
   "level": "l3"
  },
  "CAP_85973de2": {
   "en": "Multi-Scale Deformable Attention Encoding",
   "zh": "多尺度可变形注意力编码",
   "level": "l3"
  },
  "CAP_8e930439": {
   "en": "Standard Object Query Decoding",
   "zh": "标准 Object Query 解码",
   "level": "l3"
  },
  "CAP_fa3aa796": {
   "en": "Contrastive Denoising Training",
   "zh": "对比去噪训练",
   "level": "l3"
  },
  "CAP_6eab2299": {
   "en": "Mixed Query Selection Decoding",
   "zh": "混合查询选择解码",
   "level": "l3"
  },
  "CAP_ad56b5f8": {
   "en": "FFN Prediction Head",
   "zh": "FFN 预测头",
   "level": "l3"
  },
  "CAP_a6f68eb4": {
   "en": "Hungarian Bipartite Matching",
   "zh": "匈牙利二分图匹配",
   "level": "l3"
  },
  "CAP_33c9819d": {
   "en": "No-Object Filtering",
   "zh": "无目标过滤",
   "level": "l3"
  },
  "CAP_01a16586": {
   "en": "Model-Based Consistency Diagnosis",
   "zh": "基于模型的一致性诊断",
   "level": "l2"
  },
  "CAP_ad6e81d6": {
   "en": "System Component Behavioral Modeling",
   "zh": "系统组件行为建模",
   "level": "l3"
  },
  "CAP_3123c00e": {
   "en": "Observation Deviation Detection",
   "zh": "观测偏差检测",
   "level": "l3"
  },
  "CAP_18653cf0": {
   "en": "Conflict Set Recognition",
   "zh": "冲突集识别",
   "level": "l3"
  },
  "CAP_2b7730c5": {
   "en": "Minimal Hitting Set Computation",
   "zh": "最小碰集计算",
   "level": "l3"
  },
  "CAP_297933f6": {
   "en": "Fault Candidate Probability Ranking",
   "zh": "故障候选概率排序",
   "level": "l3"
  },
  "CAP_9f6c4c73": {
   "en": "Root Cause Diagnostic Report Generation",
   "zh": "根因诊断报告生成",
   "level": "l3"
  },
  "CAP_e450c19d": {
   "en": "Multimodal Execution Trace Collection",
   "zh": "多模态执行轨迹采集",
   "level": "l3"
  },
  "CAP_d9a04936": {
   "en": "Semantic Event Abstraction",
   "zh": "语义事件抽象",
   "level": "l3"
  },
  "CAP_e6ae1c73": {
   "en": "Task-Level Context Summarization",
   "zh": "任务级上下文摘要",
   "level": "l3"
  },
  "CAP_82a9d041": {
   "en": "LLM Diagnostic Prompt Construction",
   "zh": "LLM 诊断 Prompt 构建",
   "level": "l3"
  },
  "CAP_800ef31c": {
   "en": "Chain-of-Thought Root Cause Reasoning",
   "zh": "思维链根因推理",
   "level": "l3"
  },
  "CAP_c20c44c7": {
   "en": "Root Cause Explanation Formatting",
   "zh": "根因解释格式化",
   "level": "l3"
  },
  "CAP_710f0e18": {
   "en": "Causal Graph-Based Root Cause Localization",
   "zh": "基于因果图的根因定位",
   "level": "l2"
  },
  "CAP_7e65c083": {
   "en": "Causal Graph Structure Learning",
   "zh": "因果图结构学习",
   "level": "l3"
  },
  "CAP_2e42fff5": {
   "en": "Conditional Probability Parameter Estimation",
   "zh": "条件概率参数估计",
   "level": "l3"
  },
  "CAP_41d3d60f": {
   "en": "Anomaly Evidence Injection",
   "zh": "异常证据注入",
   "level": "l3"
  },
  "CAP_1ef2b9b9": {
   "en": "Evidence-Based Belief Propagation",
   "zh": "证据驱动的信念传播",
   "level": "l3"
  },
  "CAP_b71376ad": {
   "en": "Root Cause Posterior Probability Ranking",
   "zh": "根因后验概率排序",
   "level": "l3"
  },
  "CAP_99fa8afb": {
   "en": "Do-Calculus Intervention Query",
   "zh": "Do-Calculus 干预查询",
   "level": "l3"
  },
  "CAP_67662b63": {
   "en": "Causal Root Cause Diagnostic Report",
   "zh": "因果根因诊断报告",
   "level": "l3"
  },
  "CAP_bedb23b7": {
   "en": "Knowledge-Driven Fault Diagnosis",
   "zh": "知识驱动的故障诊断",
   "level": "l2"
  },
  "CAP_459a2328": {
   "en": "Diagnostic Knowledge Base Construction",
   "zh": "诊断知识库构建",
   "level": "l3"
  },
  "CAP_eca680ba": {
   "en": "Diagnostic Signal Collection and Aggregation",
   "zh": "诊断信号采集与聚合",
   "level": "l3"
  },
  "CAP_c1a09d57": {
   "en": "Symptom-to-Rule Pattern Matching",
   "zh": "症状-规则模式匹配",
   "level": "l3"
  },
  "CAP_259c0745": {
   "en": "Rule Chain Forward/Backward Reasoning",
   "zh": "规则链前向/后向推理",
   "level": "l3"
  },
  "CAP_ab464d5a": {
   "en": "Root Cause Identification and Impact Analysis",
   "zh": "根因识别与影响分析",
   "level": "l3"
  },
  "CAP_4dbacde7": {
   "en": "RPN Diagnosis Report with Repair Advice",
   "zh": "含RPN和修复建议的诊断报告",
   "level": "l3"
  },
  "CAP_e63b8aa0": {
   "en": "Generative Reconstruction Training",
   "zh": "生成式重构训练",
   "level": "l3"
  },
  "CAP_bd47ce47": {
   "en": "Normal Sample Curation",
   "zh": "正常样本整备",
   "level": "l3"
  },
  "CAP_224c9239": {
   "en": "Anomaly Synthesis Data Augmentation",
   "zh": "异常合成数据增强",
   "level": "l3"
  },
  "CAP_c2401432": {
   "en": "Generative Model Inference Reconstruction",
   "zh": "生成模型推理重建",
   "level": "l3"
  },
  "CAP_0a3d15c5": {
   "en": "Anomaly Score Computation",
   "zh": "异常分数计算",
   "level": "l2"
  },
  "CAP_830f3dad": {
   "en": "Nearest-Neighbor Anomaly Scoring",
   "zh": "最近邻异常评分",
   "level": "l3"
  },
  "CAP_3bba7b35": {
   "en": "Negative Log-Likelihood Scoring",
   "zh": "负对数似然评分",
   "level": "l3"
  },
  "CAP_15c11d2d": {
   "en": "Anomaly Score Thresholding",
   "zh": "异常分数阈值化",
   "level": "l3"
  },
  "CAP_65af7b97": {
   "en": "Anomaly Map Post-processing",
   "zh": "异常分数图后处理",
   "level": "l3"
  },
  "CAP_2e19cad3": {
   "en": "Feature Memory-Bank Anomaly Detection",
   "zh": "预训练特征记忆库异常检测",
   "level": "l2"
  },
  "CAP_055ea1a8": {
   "en": "Pretrained Backbone Feature Extraction",
   "zh": "预训练骨干特征提取",
   "level": "l3"
  },
  "CAP_df747250": {
   "en": "Normal Feature Distribution Modeling",
   "zh": "正常特征分布建模",
   "level": "l3"
  },
  "CAP_c399fe99": {
   "en": "Memory Bank Construction with Coreset Subsampling",
   "zh": "记忆库构建与 Coreset 子采样",
   "level": "l3"
  },
  "CAP_3b444362": {
   "en": "Multivariate Gaussian Per-Position Fitting",
   "zh": "逐位置多元高斯拟合",
   "level": "l3"
  },
  "CAP_6a1167dc": {
   "en": "Student-Teacher Distillation Anomaly Detection",
   "zh": "师生蒸馏异常检测",
   "level": "l3"
  },
  "CAP_10a753c3": {
   "en": "Zero-shot Foundation Model Anomaly Segmentation",
   "zh": "零样本基础模型异常分割",
   "level": "l2"
  },
  "CAP_28b011b9": {
   "en": "CLIP Image Feature Extraction",
   "zh": "CLIP 图像特征提取",
   "level": "l3"
  },
  "CAP_f3419b1d": {
   "en": "Vision-Language Similarity Computation",
   "zh": "视觉-语言相似度计算",
   "level": "l3"
  },
  "CAP_7dc93828": {
   "en": "Multi-Scale Anomaly Map Aggregation",
   "zh": "多尺度异常图聚合",
   "level": "l3"
  },
  "CAP_dcd3f9a3": {
   "en": "Antenna Parametric Geometry Modeling (FEM)",
   "zh": "天线几何参数化建模（FEM）",
   "level": "l2"
  },
  "CAP_d6ac8315": {
   "en": "FEM Adaptive Mesh Solver Setup",
   "zh": "FEM自适应网格求解设置",
   "level": "l2"
  },
  "CAP_828c8b65": {
   "en": "Antenna Parametric Sweep and Optimization (FEM)",
   "zh": "天线参数扫描与优化（FEM）",
   "level": "l2"
  },
  "CAP_697ba6b4": {
   "en": "Antenna S-Parameter and Radiation Post-Processing (FEM)",
   "zh": "天线S参数与辐射方向图后处理（FEM）",
   "level": "l2"
  },
  "CAP_f9a28198": {
   "en": "FDTD Geometry Modeling and Mesh Setup",
   "zh": "FDTD几何建模与网格设置",
   "level": "l2"
  },
  "CAP_82035b3b": {
   "en": "FDTD Excitation and Boundary Conditions",
   "zh": "FDTD激励源与边界条件设置",
   "level": "l3"
  },
  "CAP_6c005b23": {
   "en": "FDTD Time-Domain Simulation",
   "zh": "FDTD时域仿真",
   "level": "l2"
  },
  "CAP_2cf0d72e": {
   "en": "FDTD Frequency-Domain Post-Processing",
   "zh": "FDTD频域后处理",
   "level": "l2"
  },
  "CAP_7c5af72d": {
   "en": "Antenna Catalog Selection and Parametric Design (MoM)",
   "zh": "天线目录库选型与参数化设计（MoM）",
   "level": "l2"
  },
  "CAP_ee21a2e9": {
   "en": "MoM Full-Wave Solver (MATLAB)",
   "zh": "MoM全波求解器（MATLAB）",
   "level": "l2"
  },
  "CAP_6d4ed06f": {
   "en": "MATLAB Antenna Parameter Optimization",
   "zh": "MATLAB天线参数优化",
   "level": "l2"
  },
  "CAP_658fd002": {
   "en": "Antenna Radiation Pattern and Array Synthesis (MoM)",
   "zh": "天线辐射方向图与阵列综合（MoM）",
   "level": "l2"
  },
  "CAP_3b0ddc00": {
   "en": "FEM Geometry Modeling Execution",
   "zh": "FEM 几何建模执行",
   "level": "l3"
  },
  "CAP_10db527a": {
   "en": "FEM Adaptive Mesh Solve Execution",
   "zh": "FEM 自适应网格求解执行",
   "level": "l3"
  },
  "CAP_2c8a3b4b": {
   "en": "Antenna Optimetrics Execution",
   "zh": "天线 Optimetrics 优化执行",
   "level": "l3"
  },
  "CAP_e824bb0d": {
   "en": "FEM Post-Processing Execution",
   "zh": "FEM 后处理执行",
   "level": "l3"
  },
  "CAP_d31b08a1": {
   "en": "FDTD Geometry and Mesh Execution",
   "zh": "FDTD 几何与网格执行",
   "level": "l3"
  },
  "CAP_55037696": {
   "en": "FDTD Time-Domain Execution",
   "zh": "FDTD 时域求解执行",
   "level": "l3"
  },
  "CAP_164bbe37": {
   "en": "FDTD FFT S-Parameter Execution",
   "zh": "FDTD FFT S 参数提取执行",
   "level": "l3"
  },
  "CAP_29e1ed0c": {
   "en": "FDTD NF2FF Transformation Execution",
   "zh": "FDTD NF2FF 远场变换执行",
   "level": "l3"
  },
  "CAP_aaa26326": {
   "en": "Antenna Catalog Design Execution",
   "zh": "天线目录库设计执行",
   "level": "l3"
  },
  "CAP_36f75198": {
   "en": "MoM Solve Execution",
   "zh": "MoM 求解执行",
   "level": "l3"
  },
  "CAP_aca0709e": {
   "en": "MATLAB Optimization Execution",
   "zh": "MATLAB 优化执行",
   "level": "l3"
  },
  "CAP_fa3e70f1": {
   "en": "MoM Pattern and Array Execution",
   "zh": "MoM 方向图与阵列执行",
   "level": "l3"
  },
  "CAP_64d8aefc": {
   "en": "Shared Task Model Authoring",
   "zh": "共享任务模型建模",
   "level": "l2"
  },
  "CAP_aa01b103": {
   "en": "AND-OR Task Graph Construction",
   "zh": "AND-OR任务图构建",
   "level": "l3"
  },
  "CAP_aa01b104": {
   "en": "Human-Robot Task Allocation",
   "zh": "人机任务分配",
   "level": "l3"
  },
  "CAP_6b5ae100": {
   "en": "Task State Monitoring",
   "zh": "任务状态监控",
   "level": "l2"
  },
  "CAP_3a2745da": {
   "en": "PDDL Knowledge Base Management",
   "zh": "PDDL知识库管理",
   "level": "l3"
  },
  "CAP_7e859a33": {
   "en": "Task Progress State Estimation",
   "zh": "任务进度状态估计",
   "level": "l3"
  },
  "CAP_efcd7cff": {
   "en": "Behavior Tree Runtime Monitoring",
   "zh": "行为树运行时监控",
   "level": "l3"
  },
  "CAP_a1c56b59": {
   "en": "Human Need Anticipation",
   "zh": "人类需求预测",
   "level": "l2"
  },
  "CAP_dad4d34f": {
   "en": "Task Graph Forward Traversal",
   "zh": "任务图前向遍历",
   "level": "l3"
  },
  "CAP_4118a6cd": {
   "en": "Human Need Inference from Task Context",
   "zh": "基于任务上下文的人类需求推断",
   "level": "l3"
  },
  "CAP_a9aaad7d": {
   "en": "Utility-Based Need Ranking",
   "zh": "效用需求排序",
   "level": "l3"
  },
  "CAP_2750c4f8": {
   "en": "Assistance Plan Synthesis",
   "zh": "辅助计划合成",
   "level": "l2"
  },
  "CAP_66c7c847": {
   "en": "PDDL Assistance Goal Formulation",
   "zh": "PDDL辅助目标制定",
   "level": "l3"
  },
  "CAP_5d1232f2": {
   "en": "PDDL Plan Synthesis",
   "zh": "PDDL计划合成",
   "level": "l3"
  },
  "CAP_d209747b": {
   "en": "Plan Validation",
   "zh": "计划验证",
   "level": "l3"
  },
  "CAP_4722d0a4": {
   "en": "Assistance Execution and Feedback",
   "zh": "辅助执行与反馈",
   "level": "l2"
  },
  "CAP_fcb6617a": {
   "en": "Robotic Action Execution",
   "zh": "机器人动作执行",
   "level": "l3"
  },
  "CAP_efac8e21": {
   "en": "Execution Outcome Verification",
   "zh": "执行结果验证",
   "level": "l3"
  },
  "CAP_6f364c4c": {
   "en": "Task Graph State Update",
   "zh": "任务图状态更新",
   "level": "l3"
  },
  "CAP_97d182ee": {
   "en": "Learning-Based Intention Prediction",
   "zh": "学习型意图预测",
   "level": "l2"
  },
  "CAP_ba94a94f": {
   "en": "Multi-Modal Sensor Fusion",
   "zh": "多模态传感器融合",
   "level": "l3"
  },
  "CAP_adf61750": {
   "en": "Egocentric Video Feature Extraction",
   "zh": "第一人称视频特征提取",
   "level": "l3"
  },
  "CAP_8aefcea3": {
   "en": "Object Detection for Task Context",
   "zh": "任务上下文物体检测",
   "level": "l3"
  },
  "CAP_da765978": {
   "en": "Gaze-Based Attention Encoding",
   "zh": "注视注意力编码",
   "level": "l3"
  },
  "CAP_5d775e5f": {
   "en": "Rolling-Unrolling LSTM Temporal Modeling",
   "zh": "RU-LSTM 时序建模",
   "level": "l3"
  },
  "CAP_4e68ca2b": {
   "en": "Multi-Agent GNN Social Encoding",
   "zh": "多智能体 GNN 社会编码",
   "level": "l3"
  },
  "CAP_6a1f0202": {
   "en": "Intention Distribution Estimation",
   "zh": "意图分布估计",
   "level": "l3"
  },
  "CAP_26b9beb8": {
   "en": "Online Prediction Refinement",
   "zh": "在线预测精炼",
   "level": "l3"
  },
  "CAP_3fae41c7": {
   "en": "eFuse Secure Version Management",
   "zh": "eFuse 安全版本号管理",
   "level": "l3"
  },
  "CAP_63b116e1": {
   "en": "ROM Bootloader Version Check",
   "zh": "ROM Bootloader 版本号检查",
   "level": "l3"
  },
  "CAP_7b6de97c": {
   "en": "Secure Failure Lockdown",
   "zh": "安全失败锁定",
   "level": "l3"
  },
  "CAP_72c323ed": {
   "en": "vbmeta Image Signing with Rollback Index",
   "zh": "vbmeta 镜像签名与回滚索引签发",
   "level": "l3"
  },
  "CAP_4bc0a39f": {
   "en": "vbmeta Signature Verification",
   "zh": "vbmeta 签名验证",
   "level": "l3"
  },
  "CAP_c3c05abc": {
   "en": "AVB Rollback Index Storage",
   "zh": "AVB 回滚索引存储",
   "level": "l3"
  },
  "CAP_f303ff62": {
   "en": "AVB A/B Slot Rollback Management",
   "zh": "AVB A/B 槽位回滚索引管理",
   "level": "l3"
  },
  "CAP_58b8dec7": {
   "en": "imgtool Security Counter Signing",
   "zh": "imgtool 安全计数器签发",
   "level": "l3"
  },
  "CAP_b95b8301": {
   "en": "MCUboot Security Counter Comparison",
   "zh": "MCUboot 安全计数器比对",
   "level": "l2"
  },
  "CAP_d0329da7": {
   "en": "MCUboot Trailer Security Counter Write",
   "zh": "MCUboot Trailer 安全计数器写入",
   "level": "l3"
  },
  "CAP_81bdfad9": {
   "en": "RGB Face Image Capture & Preprocessing",
   "zh": "RGB 人脸图像采集与预处理",
   "level": "l2"
  },
  "CAP_f33beab2": {
   "en": "RGB Camera Frame Capture",
   "zh": "RGB 相机帧采集",
   "level": "l3"
  },
  "CAP_69547620": {
   "en": "Multi-Scale Face Patch Extraction",
   "zh": "多尺度人脸 Patch 提取",
   "level": "l3"
  },
  "CAP_065a8102": {
   "en": "CNN Anti-Spoofing Feature Extraction",
   "zh": "CNN 防伪特征提取",
   "level": "l2"
  },
  "CAP_d97fd5a5": {
   "en": "MiniFASNet Forward Inference",
   "zh": "MiniFASNet 前向推理",
   "level": "l3"
  },
  "CAP_e5779a13": {
   "en": "Fourier Spectrum Feature Extraction",
   "zh": "傅里叶频谱特征提取",
   "level": "l3"
  },
  "CAP_e80de98e": {
   "en": "Multi-Scale Model Score Fusion",
   "zh": "多尺度模型分数融合",
   "level": "l3"
  },
  "CAP_379b8955": {
   "en": "Anti-Spoofing Threshold Decision",
   "zh": "防伪阈值判定",
   "level": "l3"
  },
  "CAP_32792d86": {
   "en": "Action Instruction Generation & Video Capture",
   "zh": "动作指令生成与视频采集",
   "level": "l2"
  },
  "CAP_6efdb7e1": {
   "en": "Random Action Instruction Generation",
   "zh": "随机动作指令生成",
   "level": "l3"
  },
  "CAP_7282f876": {
   "en": "Sequential Video Frame Capture",
   "zh": "连续视频帧采集",
   "level": "l3"
  },
  "CAP_9c612bcb": {
   "en": "Face Detection & Action Verification",
   "zh": "人脸检测与动作验证",
   "level": "l2"
  },
  "CAP_41dc5c5f": {
   "en": "Action Detection Routing",
   "zh": "动作检测路由",
   "level": "l3"
  },
  "CAP_a353330a": {
   "en": "Blink Detection via EAR",
   "zh": "基于 EAR 的眨眼检测",
   "level": "l3"
  },
  "CAP_9967453d": {
   "en": "Head Pose Estimation",
   "zh": "头部姿态估计",
   "level": "l3"
  },
  "CAP_92261df4": {
   "en": "Mouth Open Detection via MAR",
   "zh": "基于 MAR 的张嘴检测",
   "level": "l3"
  },
  "CAP_23c2823b": {
   "en": "Action Matching & Liveness Decision",
   "zh": "动作匹配与活体决策",
   "level": "l2"
  },
  "CAP_e6fbb098": {
   "en": "Action Match Verification",
   "zh": "动作匹配验证",
   "level": "l3"
  },
  "CAP_f940cfbc": {
   "en": "Action Naturalness & Liveness Decision",
   "zh": "动作自然度与活体决策",
   "level": "l3"
  },
  "CAP_5b45bb37": {
   "en": "Multi-Modal Sensor Capture & Sync",
   "zh": "多模态传感器采集与同步",
   "level": "l2"
  },
  "CAP_bb44b403": {
   "en": "Depth Image Capture",
   "zh": "深度图像采集",
   "level": "l3"
  },
  "CAP_d0f491e4": {
   "en": "NIR Image Capture",
   "zh": "近红外图像采集",
   "level": "l3"
  },
  "CAP_0d076446": {
   "en": "Multi-Modal Spatial-Temporal Alignment",
   "zh": "多模态时空对齐",
   "level": "l3"
  },
  "CAP_674a0ea8": {
   "en": "Multi-Modal Face Detection & Feature Extraction",
   "zh": "多模态人脸检测与特征提取",
   "level": "l2"
  },
  "CAP_27117157": {
   "en": "RGB Texture Feature Extraction",
   "zh": "RGB 纹理特征提取",
   "level": "l3"
  },
  "CAP_1308d49c": {
   "en": "Depth Geometry Feature Extraction",
   "zh": "深度几何特征提取",
   "level": "l3"
  },
  "CAP_4a5b8ed0": {
   "en": "NIR Texture Feature Extraction",
   "zh": "近红外纹理特征提取",
   "level": "l3"
  },
  "CAP_8cca5cc2": {
   "en": "Multi-Modal Fusion & Decision",
   "zh": "多模态融合与决策",
   "level": "l2"
  },
  "CAP_6553894b": {
   "en": "Depth Flatness Verification",
   "zh": "深度平面度验证",
   "level": "l3"
  },
  "CAP_972c2e0d": {
   "en": "Fusion Score & Decision",
   "zh": "融合分数与决策",
   "level": "l3"
  },
  "CAP_557e22ba": {
   "en": "Liveness Anti Spoofing",
   "zh": "活性检测与反欺骗",
   "level": "l3"
  },
  "CAP_da8557b1a632": {
   "en": "ACO Path Planning Environment Initialization",
   "zh": "ACO 路径规划环境初始化",
   "level": "l2"
  },
  "CAP_40e9190ef3af": {
   "en": "Grid Map Construction",
   "zh": "栅格地图构建",
   "level": "l3"
  },
  "CAP_99b7fcd29a09": {
   "en": "ACO Parameter Initialization",
   "zh": "ACO 参数初始化",
   "level": "l3"
  },
  "CAP_a68cd78b29a1": {
   "en": "ACO Ant Colony Path Construction",
   "zh": "ACO 蚁群路径构造",
   "level": "l2"
  },
  "CAP_54e403a08e5f": {
   "en": "ACO Transition Selection",
   "zh": "ACO 转移选择",
   "level": "l3"
  },
  "CAP_9c15633f": {
   "en": "Pheromone Evaporation",
   "zh": "信息素挥发",
   "level": "l3"
  },
  "CAP_1fbb4554": {
   "en": "Pheromone Deposition",
   "zh": "信息素沉积",
   "level": "l3"
  },
  "CAP_a1e666fa09b4": {
   "en": "ACO Path Post-Processing",
   "zh": "ACO 路径后处理",
   "level": "l2"
  },
  "CAP_813fa7c1f2f1": {
   "en": "ACO Convergence Check",
   "zh": "ACO 收敛判断",
   "level": "l3"
  },
  "CAP_1ebb357ab512": {
   "en": "ACO Path Smoothing via B-Spline",
   "zh": "ACO 路径贝塞尔平滑",
   "level": "l3"
  },
  "CAP_d7f5a20fe751": {
   "en": "ACO Task Allocation Modeling",
   "zh": "ACO 任务分配建模",
   "level": "l2"
  },
  "CAP_497d78cb10": {
   "en": "Task Specification Encoding",
   "zh": "任务规格编码",
   "level": "l3"
  },
  "CAP_dca22f1011e9": {
   "en": "Robot Capability Assessment",
   "zh": "机器人能力评估",
   "level": "l3"
  },
  "CAP_136176f8f338": {
   "en": "Assignment Cost Matrix Computation",
   "zh": "分配代价矩阵计算",
   "level": "l3"
  },
  "CAP_7467a627d49a": {
   "en": "ACO Assignment Solution Construction",
   "zh": "ACO 分配方案构造",
   "level": "l3"
  },
  "CAP_add8b274f8fb": {
   "en": "ACO Assignment Solution Evaluation",
   "zh": "ACO 分配方案评估",
   "level": "l3"
  },
  "CAP_eed0914baf13": {
   "en": "ACO TSP Problem Setup",
   "zh": "ACO TSP 问题建模",
   "level": "l2"
  },
  "CAP_2c0763f704c2": {
   "en": "Distance Matrix Computation",
   "zh": "距离矩阵计算",
   "level": "l3"
  },
  "CAP_72cb8ada44c0": {
   "en": "Pheromone Matrix Initialization",
   "zh": "信息素矩阵初始化",
   "level": "l3"
  },
  "CAP_8867d633c09b": {
   "en": "ACS Local Pheromone Update",
   "zh": "ACS 局部信息素更新",
   "level": "l3"
  },
  "CAP_80832c3394df": {
   "en": "ACO Global Pheromone Update",
   "zh": "ACO 全局信息素更新",
   "level": "l2"
  },
  "CAP_ad5419c8": {
   "en": "Search-Based Anytime Replanning",
   "zh": "搜索型随时重规划",
   "level": "l1"
  },
  "CAP_81b2aa0f": {
   "en": "Inflated Heuristic Weighted A* Search",
   "zh": "膨胀启发式加权 A* 搜索",
   "level": "l3"
  },
  "CAP_7eb34e17": {
   "en": "Epsilon Decrease Strategy",
   "zh": "ε 递减策略",
   "level": "l3"
  },
  "CAP_e36d3039": {
   "en": "Lattice Motion Primitive Generation",
   "zh": "Lattice 运动基元生成",
   "level": "l3"
  },
  "CAP_714e51c6": {
   "en": "Costmap-Based Path Validation",
   "zh": "基于代价地图的路径有效性检查",
   "level": "l3"
  },
  "CAP_8ad1306b": {
   "en": "Incremental Anytime Replanning State Reuse",
   "zh": "增量式随时重规划状态复用",
   "level": "l3"
  },
  "CAP_68b775e7": {
   "en": "Sampling-Based Anytime Replanning",
   "zh": "采样型随时重规划",
   "level": "l1"
  },
  "CAP_7d2d9562": {
   "en": "RRT* Asymptotically Optimal Search",
   "zh": "RRT* 渐进最优搜索",
   "level": "l3"
  },
  "CAP_6759407f": {
   "en": "Informed RRT* Ellipsoidal Sampling",
   "zh": "Informed RRT* 椭圆采样",
   "level": "l3"
  },
  "CAP_37948282": {
   "en": "MoveIt Planning Pipeline with Replanning",
   "zh": "MoveIt 规划管线与重规划",
   "level": "l3"
  },
  "CAP_e6e290cc": {
   "en": "RRT* Tree Rewiring for Dynamic Environment",
   "zh": "RRT* 树动态重连接",
   "level": "l3"
  },
  "CAP_1558c9ff": {
   "en": "Optimization-Based Anytime Trajectory Replanning",
   "zh": "优化型随时轨迹重规划",
   "level": "l1"
  },
  "CAP_dac6b7f1": {
   "en": "MPPI Stochastic Trajectory Optimization",
   "zh": "MPPI 随机轨迹优化",
   "level": "l3"
  },
  "CAP_80b959f0": {
   "en": "TEB Elastic Band Trajectory Optimization",
   "zh": "TEB 弹性带轨迹优化",
   "level": "l3"
  },
  "CAP_49626141": {
   "en": "Nav2 Controller Replanning Cycle",
   "zh": "Nav2 控制器重规划循环",
   "level": "l3"
  },
  "CAP_c3d4cce7": {
   "en": "Anytime Rollout Sampling",
   "zh": "随时 Rollout 采样",
   "level": "l3"
  },
  "CAP_d180056e": {
   "en": "NetVLAD Global Descriptor Generation",
   "zh": "NetVLAD全局描述子生成",
   "level": "l2"
  },
  "CAP_c305bde4": {
   "en": "VLAD Soft Assignment Aggregation",
   "zh": "VLAD软分配聚集",
   "level": "l3"
  },
  "CAP_77fee11e": {
   "en": "VLAD Intra-Normalization",
   "zh": "VLAD簇内归一化",
   "level": "l3"
  },
  "CAP_76221529": {
   "en": "Faiss Nearest Neighbor Retrieval",
   "zh": "Faiss最近邻检索",
   "level": "l3"
  },
  "CAP_1c0ba9e3": {
   "en": "Classification-based Global Descriptor",
   "zh": "基于分类训练的全局描述子",
   "level": "l2"
  },
  "CAP_b0353224": {
   "en": "GeM Pooling",
   "zh": "GeM可学习池化",
   "level": "l3"
  },
  "CAP_ab4fd411": {
   "en": "CosFace Large Margin Cosine Loss",
   "zh": "CosFace大间隔余弦损失",
   "level": "l3"
  },
  "CAP_f9af4ae0": {
   "en": "EigenPlaces Panorama Multi-View Cropping",
   "zh": "EigenPlaces全景图多视角裁剪",
   "level": "l3"
  },
  "CAP_9196fa7b": {
   "en": "MLP Feature Mixer",
   "zh": "MLP特征混合器",
   "level": "l3"
  },
  "CAP_636be5cf": {
   "en": "Foundation Model Global Descriptor",
   "zh": "基础模型全局描述子",
   "level": "l2"
  },
  "CAP_b07efa39": {
   "en": "DINOv2 Patch Feature Extraction",
   "zh": "DINOv2 patch特征提取",
   "level": "l3"
  },
  "CAP_300c9c31": {
   "en": "VLAD Aggregation on Foundation Model Features",
   "zh": "基础模型特征VLAD聚集",
   "level": "l3"
  },
  "CAP_ffaa7202": {
   "en": "ImagePreprocessingNormalization",
   "zh": "图像预处理与归一化",
   "level": "l3"
  },
  "CAP_a9fe766b": {
   "en": "CNN Backbone Forward",
   "zh": "CNN骨干网络前向传播",
   "level": "l3"
  },
  "CAP_8f7c18eb": {
   "en": "GeometricVerificationFiltering",
   "zh": "几何验证过滤",
   "level": "l3"
  },
  "CAP_8c574067": {
   "en": "VLAD Encoding",
   "zh": "VLAD编码",
   "level": "l3"
  },
  "CAP_b1b17019": {
   "en": "PCADimensionalityReduction",
   "zh": "PCA降维",
   "level": "l3"
  },
  "CAP_46844160": {
   "en": "FaissIndexBuilder",
   "zh": "Faiss索引构建器",
   "level": "l3"
  },
  "CAP_a3e8d778": {
   "en": "SIFT Local Feature Extraction",
   "zh": "SIFT局部特征提取",
   "level": "l2"
  },
  "CAP_b255b0a7": {
   "en": "Keypoint Detection",
   "zh": "关键点检测",
   "level": "l3"
  },
  "CAP_d926e969": {
   "en": "SIFT Descriptor Extraction",
   "zh": "SIFT描述子提取",
   "level": "l3"
  },
  "CAP_3ae743fd": {
   "en": "VLAD Global Descriptor Aggregation",
   "zh": "VLAD全局描述子聚合",
   "level": "l2"
  },
  "CAP_93baf3e1": {
   "en": "Visual Codebook Clustering",
   "zh": "视觉码本聚类",
   "level": "l3"
  },
  "CAP_82bd52ab": {
   "en": "VLAD Residual Aggregation",
   "zh": "VLAD残差聚合",
   "level": "l3"
  },
  "CAP_df962f25": {
   "en": "Descriptor Post-processing and Whitening",
   "zh": "描述子后处理与白化",
   "level": "l3"
  },
  "CAP_bc2471e5": {
   "en": "Descriptor Retrieval and Verification",
   "zh": "描述子检索与验证",
   "level": "l2"
  },
  "CAP_4de2a9ae": {
   "en": "Descriptor Index Construction",
   "zh": "描述子索引构建",
   "level": "l3"
  },
  "CAP_46a34756": {
   "en": "Nearest Neighbor Descriptor Retrieval",
   "zh": "最近邻描述子检索",
   "level": "l3"
  },
  "CAP_3812421f": {
   "en": "Geometric Consistency Verification",
   "zh": "几何一致性验证",
   "level": "l3"
  },
  "CAP_c5b8e5d9": {
   "en": "Relocalization Pose Estimation",
   "zh": "重定位位姿估计",
   "level": "l2"
  },
  "CAP_461e2e29": {
   "en": "Reference Pose Mapping",
   "zh": "参考位姿映射",
   "level": "l3"
  },
  "CAP_f2067be4": {
   "en": "Relocalization Confidence Assessment",
   "zh": "重定位置信度评估",
   "level": "l3"
  },
  "CAP_eafd4856": {
   "en": "Training Data Preparation",
   "zh": "训练数据准备",
   "level": "l3"
  },
  "CAP_b9175393": {
   "en": "Aggregation Layer Training",
   "zh": "聚合层训练",
   "level": "l3"
  },
  "CAP_a46e1d7d": {
   "en": "Offline Descriptor Database Construction",
   "zh": "离线描述子数据库构建",
   "level": "l2"
  },
  "CAP_6476e7fc": {
   "en": "Reference Descriptor Extraction",
   "zh": "参考描述子提取",
   "level": "l3"
  },
  "CAP_c5593927": {
   "en": "Query Image Descriptor Extraction",
   "zh": "查询图像描述子提取",
   "level": "l3"
  },
  "CAP_e4087b23": {
   "en": "Image Sequence Acquisition and Preprocessing",
   "zh": "图像序列采集与预处理",
   "level": "l2"
  },
  "CAP_1332718a": {
   "en": "Image Sequence Acquisition",
   "zh": "图像序列采集",
   "level": "l3"
  },
  "CAP_f76f5ad9": {
   "en": "Ultra-Low Resolution Downsampling",
   "zh": "极低分辨率图像降采样",
   "level": "l3"
  },
  "CAP_dbc274b6": {
   "en": "Sequence Descriptor Construction",
   "zh": "序列描述子构建",
   "level": "l2"
  },
  "CAP_7331beea": {
   "en": "Per-frame Patch-Normalized Descriptor",
   "zh": "逐帧patch归一化描述子",
   "level": "l3"
  },
  "CAP_2ede6bf2": {
   "en": "Sequence Descriptor Matrix Assembly",
   "zh": "序列描述子矩阵组装",
   "level": "l3"
  },
  "CAP_96883191": {
   "en": "Sequence Matching and Verification",
   "zh": "序列匹配与验证",
   "level": "l2"
  },
  "CAP_9f89ebc8": {
   "en": "Sequence Similarity Matrix Construction",
   "zh": "序列相似度矩阵构建",
   "level": "l3"
  },
  "CAP_8d1a7655": {
   "en": "Sequence Alignment and Optimal Path Search",
   "zh": "序列对齐与最优路径搜索",
   "level": "l3"
  },
  "CAP_0307a481": {
   "en": "Velocity Consistency Verification",
   "zh": "速度一致性验证",
   "level": "l3"
  },
  "CAP_351e619b": {
   "en": "Sequence Matched Pose Estimation",
   "zh": "序列匹配位姿估计",
   "level": "l3"
  },
  "CAP_6fa6ad15": {
   "en": "Sequence Match Confidence Assessment",
   "zh": "序列匹配置信度评估",
   "level": "l3"
  },
  "CAP_c4cdc202": {
   "en": "Learned Feature Matching Pipeline",
   "zh": "学习型特征匹配流水线",
   "level": "l2"
  },
  "CAP_c913dd5c": {
   "en": "Learned Keypoint Detection",
   "zh": "学习型关键点检测",
   "level": "l3"
  },
  "CAP_e50fcb1e": {
   "en": "Learned Descriptor Extraction",
   "zh": "学习型描述子提取",
   "level": "l3"
  },
  "CAP_e1189f1c": {
   "en": "GNN Feature Matching",
   "zh": "GNN特征匹配",
   "level": "l3"
  },
  "CAP_73477b5f": {
   "en": "RANSAC Geometric Verification",
   "zh": "RANSAC几何验证",
   "level": "l3"
  },
  "CAP_8bc113b6": {
   "en": "PnP Pose Estimation",
   "zh": "PnP位姿估计",
   "level": "l3"
  },
  "CAP_11c93686": {
   "en": "Detector-free Dense Feature Matching",
   "zh": "无检测器稠密特征匹配",
   "level": "l2"
  },
  "CAP_e6cab6dc": {
   "en": "Coarse-level Feature Extraction",
   "zh": "粗粒度特征提取",
   "level": "l3"
  },
  "CAP_cb0c9ecd": {
   "en": "Linear Transformer Feature Matching",
   "zh": "Linear Transformer特征匹配",
   "level": "l3"
  },
  "CAP_8ca8a6c6": {
   "en": "Sub-pixel Fine Matching Refinement",
   "zh": "亚像素精匹配精化",
   "level": "l3"
  },
  "CAP_2dc37cd0": {
   "en": "Global Descriptor Visual Place Recognition",
   "zh": "全局描述子视觉位置识别",
   "level": "l2"
  },
  "CAP_a6c6c103": {
   "en": "Differentiable VLAD Pooling",
   "zh": "可微VLAD池化",
   "level": "l3"
  },
  "CAP_90cd86e8": {
   "en": "Image Translation for Appearance Invariant Matching",
   "zh": "图像翻译外观不变匹配",
   "level": "l2"
  },
  "CAP_f5dcc0ca": {
   "en": "Night-to-Day Image Translation",
   "zh": "夜间-日间图像翻译",
   "level": "l3"
  },
  "CAP_c0e6b41a": {
   "en": "Translation Quality Assessment",
   "zh": "翻译质量评估",
   "level": "l3"
  },
  "CAP_b134930c": {
   "en": "Discounted Feature Expectation Computation",
   "zh": "折扣特征期望计算",
   "level": "l3"
  },
  "CAP_1d8a5a9b": {
   "en": "QP Max-Margin Reward Weight Optimization",
   "zh": "QP 最大间隔奖励权重优化",
   "level": "l3"
  },
  "CAP_c9ceee73": {
   "en": "RL Policy Training with Learned Reward",
   "zh": "学习奖励下的 RL 策略训练",
   "level": "l3"
  },
  "CAP_d21c37a9": {
   "en": "Convergence Check and Policy Mixing",
   "zh": "收敛判定与策略混合",
   "level": "l3"
  },
  "CAP_4633f2d3": {
   "en": "LP Max-Margin Reward Weight Optimization",
   "zh": "LP 最大间隔奖励权重优化",
   "level": "l3"
  },
  "CAP_d6898311": {
   "en": "Proxemic Zone-Guided Approach Planning",
   "zh": "社交距离区域引导的接近规划",
   "level": "l2"
  },
  "CAP_eca29099": {
   "en": "Proxemic Costmap Construction",
   "zh": "社交距离代价图构建",
   "level": "l3"
  },
  "CAP_f390816f": {
   "en": "Socially-Aware Global Path Planning",
   "zh": "社交感知全局路径规划",
   "level": "l3"
  },
  "CAP_8d6056cd": {
   "en": "Socially-Constrained Trajectory Optimization",
   "zh": "社交约束轨迹优化",
   "level": "l3"
  },
  "CAP_ce63311f": {
   "en": "Approach Speed Profile Smoothing",
   "zh": "接近速度曲线平滑",
   "level": "l3"
  },
  "CAP_8851335f": {
   "en": "Social Force Model Approach Planning",
   "zh": "社交力模型接近规划",
   "level": "l2"
  },
  "CAP_df572203": {
   "en": "Force Integration and Velocity Command",
   "zh": "力积分与速度指令生成",
   "level": "l3"
  },
  "CAP_c71317cd": {
   "en": "Approach Behavior State Machine",
   "zh": "接近行为状态机",
   "level": "l3"
  },
  "CAP_f071658d": {
   "en": "Deep Reinforcement Learning Approach Planning",
   "zh": "深度强化学习接近规划",
   "level": "l2"
  },
  "CAP_910377fc": {
   "en": "Social State Encoding",
   "zh": "社交状态编码",
   "level": "l3"
  },
  "CAP_232e7270": {
   "en": "Social Navigation Policy Inference",
   "zh": "社交导航策略推理",
   "level": "l3"
  },
  "CAP_70ca85c9": {
   "en": "DRL Training Management",
   "zh": "深度强化学习训练管理",
   "level": "l3"
  },
  "CAP_4f624680": {
   "en": "Safe Deployment with Policy Constraints",
   "zh": "策略约束安全部署",
   "level": "l3"
  },
  "CAP_d138f379": {
   "en": "CSP Model Building",
   "zh": "CSP 模型构建",
   "level": "l3"
  },
  "CAP_03e9620c": {
   "en": "AC-3 Domain Revision",
   "zh": "AC-3 域修订",
   "level": "l3"
  },
  "CAP_440297cc": {
   "en": "MRV Variable Selection",
   "zh": "MRV 变量选择",
   "level": "l3"
  },
  "CAP_63f6aeca": {
   "en": "LCV Value Ordering",
   "zh": "LCV 值排序",
   "level": "l3"
  },
  "CAP_8de9f819": {
   "en": "Forward Checking",
   "zh": "前向检查",
   "level": "l3"
  },
  "CAP_ed0541c7": {
   "en": "Backtracking Search with AC Preprocessing",
   "zh": "AC 预处理回溯搜索",
   "level": "l2"
  },
  "CAP_a2b24863": {
   "en": "Solution Extraction",
   "zh": "解提取",
   "level": "l3"
  },
  "CAP_b10fec07": {
   "en": "MAC Search Engine",
   "zh": "MAC 搜索引擎",
   "level": "l2"
  },
  "CAP_cf570099": {
   "en": "Constraint Propagation Engine",
   "zh": "约束传播引擎",
   "level": "l3"
  },
  "CAP_0aa1750b": {
   "en": "Variable Selection Heuristic",
   "zh": "变量选择启发式",
   "level": "l3"
  },
  "CAP_e2dbd075": {
   "en": "Conflict Analysis",
   "zh": "冲突分析",
   "level": "l3"
  },
  "CAP_662d81fc": {
   "en": "GAC Global Constraint Propagation",
   "zh": "全局约束 GAC 传播",
   "level": "l2"
  },
  "CAP_fecde49f": {
   "en": "AllDifferent GAC Propagation",
   "zh": "AllDifferent GAC 传播",
   "level": "l3"
  },
  "CAP_a22022b8": {
   "en": "Cumulative GAC Propagation",
   "zh": "Cumulative GAC 传播",
   "level": "l3"
  },
  "CAP_9ad76b90": {
   "en": "Element GAC Propagation",
   "zh": "Element GAC 传播",
   "level": "l3"
  },
  "CAP_d00bb2d4": {
   "en": "Table GAC Propagation",
   "zh": "Table GAC 传播",
   "level": "l3"
  },
  "CAP_dc321f04": {
   "en": "Global Constraint Modeling",
   "zh": "全局约束建模",
   "level": "l3"
  },
  "CAP_59377ad0": {
   "en": "Exact Cellular Decomposition Coverage",
   "zh": "精确单元分解覆盖",
   "level": "l3"
  },
  "CAP_925e74cf": {
   "en": "Polygon Boundary Extraction",
   "zh": "多边形边界提取",
   "level": "l3"
  },
  "CAP_62ede55d": {
   "en": "Cell Visiting Order TSP Optimization",
   "zh": "细胞访问顺序 TSP 优化",
   "level": "l3"
  },
  "CAP_0d0c8fc8": {
   "en": "Inter-Cell Transition Path Planning",
   "zh": "细胞间过渡路径规划",
   "level": "l3"
  },
  "CAP_09f387e9": {
   "en": "BCD-based Coverage Path Planning",
   "zh": "基于BCD的覆盖路径规划",
   "level": "l2"
  },
  "CAP_39f6744b": {
   "en": "Map to Polygon Conversion",
   "zh": "地图转多边形",
   "level": "l3"
  },
  "CAP_4995fa2f": {
   "en": "Optimal Sweep Direction Selection",
   "zh": "最优扫掠方向选择",
   "level": "l3"
  },
  "CAP_e350b108": {
   "en": "BCD Cell Decomposition",
   "zh": "BCD单元分解",
   "level": "l3"
  },
  "CAP_ae099cb3": {
   "en": "Adjacency Graph Construction",
   "zh": "邻接图构建",
   "level": "l3"
  },
  "CAP_1644a0b4": {
   "en": "E-GTSP Path Optimization",
   "zh": "E-GTSP路径优化",
   "level": "l3"
  },
  "CAP_052ab38b": {
   "en": "Polygon Input and Preprocessing",
   "zh": "多边形输入与预处理",
   "level": "l2"
  },
  "CAP_2dc8254b": {
   "en": "Path Execution and Monitoring",
   "zh": "路径执行与监控",
   "level": "l2"
  },
  "CAP_3e358aab": {
   "en": "Morphological Room Segmentation Coverage",
   "zh": "形态学房间分割覆盖",
   "level": "l3"
  },
  "CAP_b6974593": {
   "en": "Map Preprocessing For Segmentation",
   "zh": "分割地图预处理",
   "level": "l3"
  },
  "CAP_929a6f49": {
   "en": "Morphological Erosion Room Separation",
   "zh": "形态学腐蚀房间分离",
   "level": "l3"
  },
  "CAP_5484fdcd": {
   "en": "Distance Transform Watershed Room Segmentation",
   "zh": "距离变换分水岭房间分割",
   "level": "l3"
  },
  "CAP_5e1a72c3": {
   "en": "Voronoi Doorway Room Segmentation",
   "zh": "Voronoi门道房间分割",
   "level": "l3"
  },
  "CAP_fc05613c": {
   "en": "Room Area Threshold Check",
   "zh": "房间面积阈值检查",
   "level": "l3"
  },
  "CAP_0a05c75a": {
   "en": "Wavefront Region Growing Fill",
   "zh": "波前区域增长填充",
   "level": "l3"
  },
  "CAP_8ada6bba": {
   "en": "Room Ordering And Path Concatenation",
   "zh": "房间排序与路径拼接",
   "level": "l3"
  },
  "CAP_f5e0c491": {
   "en": "Map Preprocessing",
   "zh": "地图预处理",
   "level": "l2"
  },
  "CAP_5ecf094f": {
   "en": "Map Binarization and Morphological Cleaning",
   "zh": "地图二值化与形态学清理",
   "level": "l3"
  },
  "CAP_9ff1f102": {
   "en": "Connected Component Analysis and Isolation Removal",
   "zh": "连通区域分析与孤立区域移除",
   "level": "l3"
  },
  "CAP_5c7b4764": {
   "en": "Voronoi Segmentation",
   "zh": "Voronoi图分割",
   "level": "l3"
  },
  "CAP_edbb70de": {
   "en": "Feature-based Segmentation",
   "zh": "特征分割",
   "level": "l3"
  },
  "CAP_d8314059": {
   "en": "Coverage Path Planning",
   "zh": "覆盖路径规划",
   "level": "l2"
  },
  "CAP_1247a68b": {
   "en": "Grid Point TSP Coverage",
   "zh": "栅格点TSP覆盖",
   "level": "l3"
  },
  "CAP_2d2a9852": {
   "en": "Neural Network Coverage",
   "zh": "神经网络覆盖",
   "level": "l3"
  },
  "CAP_24ac112f": {
   "en": "ConvexSPP Coverage",
   "zh": "凸传感器放置覆盖",
   "level": "l3"
  },
  "CAP_8890ba37": {
   "en": "FlowNetwork Coverage",
   "zh": "流网络覆盖",
   "level": "l3"
  },
  "CAP_a34c6d3d": {
   "en": "Room Visiting Order TSP Optimization",
   "zh": "房间访问顺序TSP优化",
   "level": "l3"
  },
  "CAP_bad74d20": {
   "en": "Path Concatenation and Execution",
   "zh": "路径拼接与执行",
   "level": "l3"
  },
  "CAP_7da88b44": {
   "en": "DARP Iterative Geometric Partition",
   "zh": "DARP 迭代几何分区",
   "level": "l3"
  },
  "CAP_d56f052b": {
   "en": "STC Spanning Tree Coverage Path Generation",
   "zh": "STC 生成树覆盖路径生成",
   "level": "l3"
  },
  "CAP_5b894e07": {
   "en": "Sub-area Coverage Planning and Execution",
   "zh": "子区域覆盖路径规划与执行",
   "level": "l3"
  },
  "CAP_2fadbc82": {
   "en": "Multi-Robot Area Repartitioning on Failure",
   "zh": "多机器人失效区域重划分",
   "level": "l3"
  },
  "CAP_18e16c73": {
   "en": "Multi-Robot Coverage Space Partition",
   "zh": "多机器人覆盖空间分区",
   "level": "l2"
  },
  "CAP_16243734": {
   "en": "Grid Brick Virtualization",
   "zh": "2×2砖块虚拟化",
   "level": "l3"
  },
  "CAP_da78fbc2": {
   "en": "Spanning Tree Construction",
   "zh": "生成树构建",
   "level": "l3"
  },
  "CAP_104f4d92": {
   "en": "Turn-Aware Brick Spanning Tree Construction",
   "zh": "转弯感知砖块生成树构建",
   "level": "l3"
  },
  "CAP_0cf02307": {
   "en": "Tree-Cut Load-Balanced Forest Partition",
   "zh": "树切割负载均衡分区",
   "level": "l3"
  },
  "CAP_3a7b9e1f": {
   "en": "Propagation-Based Failure Coverage Redistribution",
   "zh": "传播式失效覆盖重分配",
   "level": "l3"
  },
  "CAP_3b49088e": {
   "en": "Extended-STC Incomplete Graph Coverage",
   "zh": "Extended-STC不完整地形图全覆盖",
   "level": "l3"
  },
  "CAP_54bc8249": {
   "en": "Local-Search MCPP Path Optimization",
   "zh": "LS-MCPP局部搜索路径优化",
   "level": "l3"
  },
  "CAP_96181a67": {
   "en": "Grid-to-Graph Abstraction and Brick Virtualization",
   "zh": "栅格-图抽象与砖块虚拟化",
   "level": "l2"
  },
  "CAP_5a93c742": {
   "en": "Spanning Tree Construction and Multi-Robot Cutting",
   "zh": "生成树构建与多机器人切割",
   "level": "l2"
  },
  "CAP_5f2728d4": {
   "en": "Subtree Circumnavigation Coverage and Execution",
   "zh": "子树环绕覆盖与执行",
   "level": "l2"
  },
  "CAP_b342d52d": {
   "en": "Analytical Articulated Motion Modeling",
   "zh": "分析型铰接运动建模",
   "level": "l2"
  },
  "CAP_05c6ba08": {
   "en": "Learning-Based Articulated Flow Modeling",
   "zh": "学习型铰接流场建模",
   "level": "l2"
  },
  "CAP_3658d8b6": {
   "en": "Neural Implicit Articulated Motion Modeling",
   "zh": "神经隐式铰接运动建模",
   "level": "l2"
  },
  "CAP_8ac2c608": {
   "en": "URDF Rigid Body Model Construction",
   "zh": "URDF 刚体模型构建",
   "level": "l3"
  },
  "CAP_955b2b6f": {
   "en": "Forward Kinematics Chain Computation",
   "zh": "正向运动学链式计算",
   "level": "l3"
  },
  "CAP_8886d067": {
   "en": "Jacobian Matrix Computation for Articulated Bodies",
   "zh": "铰接体雅可比矩阵计算",
   "level": "l3"
  },
  "CAP_8da312c0": {
   "en": "Numerical Inverse Kinematics Solving",
   "zh": "数值逆运动学求解",
   "level": "l3"
  },
  "CAP_4d14438f": {
   "en": "Recursive Newton-Euler Inverse Dynamics",
   "zh": "递归牛顿-欧拉逆动力学",
   "level": "l3"
  },
  "CAP_d0d85959": {
   "en": "Composite Rigid Body Joint Space Inertia",
   "zh": "复合刚体关节空间惯量矩阵",
   "level": "l3"
  },
  "CAP_f93f2523": {
   "en": "Articulated Body Forward Dynamics",
   "zh": "铰接体正向动力学",
   "level": "l3"
  },
  "CAP_881095e2": {
   "en": "Nonlinear Effects Computation for Articulated Dynamics",
   "zh": "铰接动力学非线性项计算",
   "level": "l3"
  },
  "CAP_b1cf7ecc": {
   "en": "3D Articulated Flow Prediction",
   "zh": "3D 铰接流场预测",
   "level": "l3"
  },
  "CAP_c799f921": {
   "en": "Screw Theory Optimal Flow Point Selection",
   "zh": "螺旋理论最优流点选择",
   "level": "l3"
  },
  "CAP_a0c939ac": {
   "en": "Closed-Loop Articulated Flow Following",
   "zh": "闭环铰接流跟随",
   "level": "l3"
  },
  "CAP_0f318ade": {
   "en": "FlowBot++ Articulation Projection Trajectory Smoothing",
   "zh": "FlowBot++ 铰接投影轨迹平滑",
   "level": "l3"
  },
  "CAP_0f142ab2": {
   "en": "Category-Level Articulated Semantic NeRF",
   "zh": "类别级铰接语义 NeRF",
   "level": "l3"
  },
  "CAP_4ad1c085": {
   "en": "Joint Parameter Inference from Segmentation Field",
   "zh": "从分割场推理关节参数",
   "level": "l3"
  },
  "CAP_fcf856e6": {
   "en": "VLM-Assisted Open-Vocabulary Joint Estimation",
   "zh": "VLM 辅助开放词汇关节估计",
   "level": "l3"
  },
  "CAP_a7f9ef7d": {
   "en": "Articulation-Aware Volume Rendering",
   "zh": "铰接感知体渲染",
   "level": "l3"
  },
  "CAP_2db84e3b": {
   "en": "SDS Joint-Aware Refinement for Articulated Objects",
   "zh": "SDS 铰接对象关节感知细化",
   "level": "l3"
  },
  "CAP_bd17d39d": {
   "en": "Multi-Action Affordance Aggregation",
   "zh": "多动作原语可供性聚合",
   "level": "l3"
  },
  "CAP_d4bace98": {
   "en": "Cross-Category GAPart Perception Pipeline",
   "zh": "跨类别GAPart感知管线",
   "level": "l2"
  },
  "CAP_eb9c768729": {
   "en": "GAPart Cross-Category Segmentation",
   "zh": "GAPart跨类别部件分割",
   "level": "l3"
  },
  "CAP_b3b8cd85": {
   "en": "Part Instance Clustering",
   "zh": "部件实例聚类",
   "level": "l3"
  },
  "CAP_a8818727": {
   "en": "Part Pose Estimation",
   "zh": "部件姿态估计",
   "level": "l3"
  },
  "CAP_ac5ddddb": {
   "en": "GAPart Affordance Inference",
   "zh": "GAPart可供性推理",
   "level": "l3"
  },
  "CAP_da508542": {
   "en": "Cross-Category Perception Output Aggregation",
   "zh": "跨类别感知输出聚合",
   "level": "l3"
  },
  "CAP_0fee83a4": {
   "en": "Visual Articulation Estimation",
   "zh": "视觉铰接结构估计",
   "level": "l2"
  },
  "CAP_be52b0f6": {
   "en": "Depth-Based Joint Type Classification",
   "zh": "深度图关节类型分类",
   "level": "l3"
  },
  "CAP_28095708": {
   "en": "Point Cloud Joint Axis Regression",
   "zh": "点云关节轴回归",
   "level": "l3"
  },
  "CAP_edba85c0": {
   "en": "Motion Range Estimation",
   "zh": "运动范围估计",
   "level": "l3"
  },
  "CAP_c0a41749": {
   "en": "Multi-Frame Articulation Aggregation",
   "zh": "多帧铰接信息聚合",
   "level": "l3"
  },
  "CAP_7613cbd7": {
   "en": "Interactive Articulation Estimation",
   "zh": "交互式铰接结构估计",
   "level": "l2"
  },
  "CAP_c98b28be": {
   "en": "Affordance-Based Interaction Selection",
   "zh": "可供性驱动的交互选择",
   "level": "l3"
  },
  "CAP_b163fef5": {
   "en": "Force-Guided Joint Verification",
   "zh": "力引导关节验证",
   "level": "l3"
  },
  "CAP_3eaec992": {
   "en": "URDF Model Construction",
   "zh": "URDF模型构建",
   "level": "l3"
  },
  "CAP_b46f6794": {
   "en": "Reconstruction-Driven Articulation Estimation",
   "zh": "重建驱动铰接估计",
   "level": "l2"
  },
  "CAP_436d833f": {
   "en": "Composite Neural Field Articulation",
   "zh": "复合神经场铰接建模",
   "level": "l3"
  },
  "CAP_5beb3b63": {
   "en": "Part Segmentation Field Articulation",
   "zh": "部件分割场铰接估计",
   "level": "l3"
  },
  "CAP_fa5f1b79": {
   "en": "Differentiable Articulation Optimization",
   "zh": "可微铰接优化",
   "level": "l3"
  },
  "CAP_bbd78ec5": {
   "en": "Multi-View RGB Acquisition",
   "zh": "多视角RGB采集",
   "level": "l3"
  },
  "CAP_a0aa2d44": {
   "en": "Blob Store Configuration",
   "zh": "Blob 存储后端配置",
   "level": "l3"
  },
  "CAP_2e2c8b95": {
   "en": "Artifact Property Annotation",
   "zh": "制品属性标注",
   "level": "l3"
  },
  "CAP_9dff5b60": {
   "en": "Dependency Proxy and Cache",
   "zh": "依赖代理与缓存",
   "level": "l3"
  },
  "CAP_fb60867e": {
   "en": "Artifact Version Management",
   "zh": "制品版本管理",
   "level": "l2"
  },
  "CAP_96ac7aa4": {
   "en": "Build Info Tracking",
   "zh": "Build 信息追踪",
   "level": "l3"
  },
  "CAP_abce1e51": {
   "en": "Artifact Search and Metadata Query",
   "zh": "制品搜索与元数据查询",
   "level": "l3"
  },
  "CAP_d22bf7f1": {
   "en": "Artifact Distribution and Replication",
   "zh": "制品分发与复制",
   "level": "l3"
  },
  "CAP_a67bcb9e": {
   "en": "Project and RBAC Configuration",
   "zh": "项目与权限模型配置",
   "level": "l3"
  },
  "CAP_c540aeee": {
   "en": "Image Tag Management",
   "zh": "镜像标签管理",
   "level": "l3"
  },
  "CAP_6f323519": {
   "en": "Notary Image Signing",
   "zh": "Notary 镜像签名",
   "level": "l3"
  },
  "CAP_9fa3f5fd": {
   "en": "Multi-Architecture Image Management",
   "zh": "多架构镜像管理",
   "level": "l3"
  },
  "CAP_7afdbb33": {
   "en": "Registry Garbage Collection",
   "zh": "登记处垃圾回收",
   "level": "l3"
  },
  "CAP_2c05a04a": {
   "en": "Signing Key Generation and Management",
   "zh": "签名密钥生成与管理",
   "level": "l3"
  },
  "CAP_c6d0c1da": {
   "en": "Artifact Signing",
   "zh": "制品签名",
   "level": "l2"
  },
  "CAP_16123e4f": {
   "en": "Transparency Log Recording",
   "zh": "透明日志记录",
   "level": "l3"
  },
  "CAP_73e907c7": {
   "en": "SLSA Provenance Attestation",
   "zh": "SLSA 来源证明",
   "level": "l3"
  },
  "CAP_2b0651e8": {
   "en": "Rekor Inclusion Proof Verification",
   "zh": "Rekor 包含证明验证",
   "level": "l3"
  },
  "CAP_9032b884": {
   "en": "Deployment Policy Gate",
   "zh": "部署策略门禁",
   "level": "l3"
  },
  "CAP_00523b71": {
   "en": "SBOM Toolchain Setup",
   "zh": "SBOM 工具链配置",
   "level": "l3"
  },
  "CAP_155267dc": {
   "en": "SBOM Generation",
   "zh": "SBOM 生成",
   "level": "l2"
  },
  "CAP_2d02a4a5": {
   "en": "Vulnerability Scanning from SBOM",
   "zh": "基于 SBOM 的漏洞扫描",
   "level": "l3"
  },
  "CAP_ef63d83f": {
   "en": "SBOM as OCI Artifact",
   "zh": "SBOM 作为 OCI 制品推送",
   "level": "l3"
  },
  "CAP_d7591e11": {
   "en": "Compliance Audit Rules",
   "zh": "合规审计规则",
   "level": "l3"
  },
  "CAP_560613d2": {
   "en": "Artifact Version-Environment Mapping",
   "zh": "制品版本-环境映射台账",
   "level": "l3"
  },
  "CAP_4307356f": {
   "en": "Failure Perception and Attribution",
   "zh": "失误感知与归因",
   "level": "l2"
  },
  "CAP_e577aaed": {
   "en": "Multimodal Sensory Data Acquisition",
   "zh": "多模态传感器数据采集",
   "level": "l3"
  },
  "CAP_f6305b10": {
   "en": "Hierarchical Robot Summary Construction",
   "zh": "层次化机器人摘要构建",
   "level": "l3"
  },
  "CAP_4933f9b8": {
   "en": "LLM-Guided Correction Planning",
   "zh": "LLM 引导修正规划",
   "level": "l3"
  },
  "CAP_735e0984": {
   "en": "Persistent Deviation Triggered Action Truncation",
   "zh": "持续偏离触发动作截断",
   "level": "l3"
  },
  "CAP_895fd024": {
   "en": "Adaptive Action Horizon Execution",
   "zh": "自适应动作时域执行",
   "level": "l3"
  },
  "CAP_531ea03e": {
   "en": "Force/Torque Signal Error Type Classification",
   "zh": "力/力矩信号错误类型分类",
   "level": "l3"
  },
  "CAP_c15120a9": {
   "en": "Recovery Maneuver Sequence Execution",
   "zh": "恢复动作序列执行",
   "level": "l3"
  },
  "CAP_bfb278ff": {
   "en": "Post-Recovery Assembly Parameter Adjustment",
   "zh": "恢复后装配参数调整",
   "level": "l3"
  },
  "CAP_66efe7eb": {
   "en": "Classical Geometric ASP",
   "zh": "经典几何推理装配序列规划",
   "level": "l2"
  },
  "CAP_c8e6fce9": {
   "en": "Liaison Graph Construction",
   "zh": "联接图构造",
   "level": "l3"
  },
  "CAP_6bab5013": {
   "en": "NDBG Geometric Feasibility Check",
   "zh": "非定向阻挡图几何可行性检查",
   "level": "l3"
  },
  "CAP_56797cf7": {
   "en": "Cut-set Recursive Partitioning",
   "zh": "割集递归分割",
   "level": "l3"
  },
  "CAP_551b0023": {
   "en": "AND-OR Graph Search",
   "zh": "AND-OR 图搜索",
   "level": "l3"
  },
  "CAP_99263652": {
   "en": "Metaheuristic Optimized ASP",
   "zh": "元启发式优化装配序列规划",
   "level": "l2"
  },
  "CAP_2999e390": {
   "en": "Assembly Constraint Matrix Extraction",
   "zh": "装配约束矩阵提取",
   "level": "l3"
  },
  "CAP_670b58d1": {
   "en": "Sequence Permutation Encoding",
   "zh": "序列排列编码",
   "level": "l3"
  },
  "CAP_2e71facc": {
   "en": "Multi-objective Fitness Evaluation",
   "zh": "多目标适应度评估",
   "level": "l3"
  },
  "CAP_fa71f9d9": {
   "en": "GA/ACO Evolutionary Search",
   "zh": "GA/ACO 进化搜索",
   "level": "l3"
  },
  "CAP_122dfe0b": {
   "en": "Constraint Repair",
   "zh": "约束修复",
   "level": "l3"
  },
  "CAP_36a9c492": {
   "en": "Physics-Based Tree Search ASP",
   "zh": "物理树搜索装配序列规划",
   "level": "l2"
  },
  "CAP_5a1e6425": {
   "en": "Mesh Preprocessing and SDF Generation",
   "zh": "Mesh 预处理与 SDF 生成",
   "level": "l3"
  },
  "CAP_0b9ecec2": {
   "en": "Disassembly Tree Search",
   "zh": "拆卸树搜索",
   "level": "l3"
  },
  "CAP_0e500748": {
   "en": "Physical Stability Verification",
   "zh": "物理稳定性验证",
   "level": "l3"
  },
  "CAP_526ced00": {
   "en": "GNN-Guided Search Heuristic",
   "zh": "GNN 引导搜索启发式",
   "level": "l3"
  },
  "CAP_7b639a58": {
   "en": "Grasp Planning for Assembly",
   "zh": "装配抓取规划",
   "level": "l3"
  },
  "CAP_f87d790f": {
   "en": "Fixture Auto-Generation",
   "zh": "夹具自动生成",
   "level": "l3"
  },
  "CAP_e4c5f630": {
   "en": "Dual-Arm Motion Planning",
   "zh": "双臂运动规划",
   "level": "l3"
  },
  "CAP_45127c9e": {
   "en": "RL/Graph-Based ASP",
   "zh": "RL 图学习装配序列规划",
   "level": "l2"
  },
  "CAP_0773eaa6": {
   "en": "Assembly Contact Graph Encoding",
   "zh": "装配接触图编码",
   "level": "l3"
  },
  "CAP_e1ea2517": {
   "en": "ASP MDP Formulation",
   "zh": "ASP MDP 建模",
   "level": "l3"
  },
  "CAP_d3c4c0bc": {
   "en": "Data-free Action Masking",
   "zh": "无数据动作掩码",
   "level": "l3"
  },
  "CAP_d2582389": {
   "en": "GNN Policy Training",
   "zh": "GNN 策略训练",
   "level": "l3"
  },
  "CAP_2348edb0": {
   "en": "Autoregressive Sequence Generation",
   "zh": "自回归序列生成",
   "level": "l3"
  },
  "CAP_47ef964b": {
   "en": "LLM/VLM-Driven ASP",
   "zh": "LLM/VLM 驱动装配序列规划",
   "level": "l2"
  },
  "CAP_1afe1709": {
   "en": "Manual Image Parsing",
   "zh": "说明书图像解析",
   "level": "l3"
  },
  "CAP_4b9f5a7e": {
   "en": "VLM Connection Relation Extraction",
   "zh": "VLM 连接关系提取",
   "level": "l3"
  },
  "CAP_ba25a547": {
   "en": "LLM Assembly Order Reasoning",
   "zh": "LLM 装配顺序推理",
   "level": "l3"
  },
  "CAP_5f25f5c1": {
   "en": "BT/PDDL Plan Generation",
   "zh": "BT/PDDL 计划生成",
   "level": "l3"
  },
  "CAP_51c16d7d": {
   "en": "LLM Plan Validation and Repair",
   "zh": "LLM 计划验证与修复",
   "level": "l3"
  },
  "CAP_a148f058": {
   "en": "Symbolic AI ASP",
   "zh": "符号 AI 装配序列规划",
   "level": "l2"
  },
  "CAP_cde8a639": {
   "en": "POMDP-Based Assembly Planning",
   "zh": "POMDP 装配规划",
   "level": "l3"
  },
  "CAP_9d4bbcbd": {
   "en": "SCT Assembly Supervisor Synthesis",
   "zh": "SCT 装配监督器合成",
   "level": "l3"
  },
  "CAP_5506afe2": {
   "en": "Error-Bounded Minimal-Intervention AAN Control",
   "zh": "误差有界最小干预 AAN 控制",
   "level": "l2"
  },
  "CAP_6998ec11": {
   "en": "Sensorless Subject Input Torque Estimation",
   "zh": "无传感器患者输入力矩估计",
   "level": "l3"
  },
  "CAP_a97861aa": {
   "en": "Adjustable Ultimate Bound Error Control Law",
   "zh": "可调终极界误差控制律",
   "level": "l3"
  },
  "CAP_39ece328": {
   "en": "Adaptive Error Bound Modification Algorithm",
   "zh": "自适应误差界修改算法",
   "level": "l3"
  },
  "CAP_1f3b8a08": {
   "en": "Decayed Disturbance Rejection for Active Subject Leading",
   "zh": "衰减扰动抑制主动患者超前算法",
   "level": "l3"
  },
  "CAP_594c1365": {
   "en": "EMG-Driven MPC AAN Control",
   "zh": "EMG 驱动 MPC AAN 控制",
   "level": "l2"
  },
  "CAP_a2067c8e": {
   "en": "Muscle Activation Dynamics Estimation",
   "zh": "肌肉激活动力学估计",
   "level": "l3"
  },
  "CAP_54120b2c": {
   "en": "AAN-MPC Objective Construction",
   "zh": "AAN-MPC 目标函数构造",
   "level": "l3"
  },
  "CAP_cc333418": {
   "en": "EMG-Driven Musculoskeletal Torque Feedforward",
   "zh": "EMG 驱动肌骨力矩前馈",
   "level": "l3"
  },
  "CAP_3e3aaad4": {
   "en": "Performance-Based Greedy AAN Control",
   "zh": "表现驱动贪心 AAN 控制",
   "level": "l2"
  },
  "CAP_6daf9da5": {
   "en": "Patient Motion Performance Assessment",
   "zh": "患者运动表现评估",
   "level": "l3"
  },
  "CAP_63e3a467": {
   "en": "Greedy Assistance Gain Reduction Law",
   "zh": "贪心辅助增益减小律",
   "level": "l3"
  },
  "CAP_f0e8b5dd": {
   "en": "Gain-Scheduled Lyapunov Stability Verification",
   "zh": "增益调度 Lyapunov 稳定性验证",
   "level": "l3"
  },
  "CAP_efa56492": {
   "en": "Dense Vector Memory Retrieval",
   "zh": "稠密向量记忆检索",
   "level": "l2"
  },
  "CAP_9a33ba6a": {
   "en": "Vector ANN Search",
   "zh": "向量近似最近邻检索",
   "level": "l3"
  },
  "CAP_1f629eb0": {
   "en": "Vector Similarity Metric",
   "zh": "向量相似度度量",
   "level": "l3"
  },
  "CAP_2f6b8a47": {
   "en": "Graph Association Memory Retrieval",
   "zh": "图关联记忆检索",
   "level": "l2"
  },
  "CAP_32775d83": {
   "en": "LLM OpenIE Extraction",
   "zh": "LLM 开放信息抽取",
   "level": "l3"
  },
  "CAP_b62cb62f": {
   "en": "Knowledge Graph Construction",
   "zh": "知识图谱构建",
   "level": "l3"
  },
  "CAP_6f306f5e": {
   "en": "Graph Node Lookup",
   "zh": "图节点查找",
   "level": "l3"
  },
  "CAP_db60d564": {
   "en": "Graph Traversal Search",
   "zh": "图遍历检索",
   "level": "l3"
  },
  "CAP_5b868dd5": {
   "en": "Context-Cue Multi-Factor Recall",
   "zh": "情境线索多因子召回",
   "level": "l2"
  },
  "CAP_96d5589b": {
   "en": "Temporal Decay Scoring",
   "zh": "时序衰减评分",
   "level": "l3"
  },
  "CAP_63280c92": {
   "en": "Importance Scoring",
   "zh": "重要性评分",
   "level": "l3"
  },
  "CAP_07a7a890": {
   "en": "Cue Relevance Scoring",
   "zh": "情境相关性评分",
   "level": "l3"
  },
  "CAP_5dcc916f": {
   "en": "Multi-Factor Fusion Ranking",
   "zh": "多因子融合排序",
   "level": "l3"
  },
  "CAP_8a633f47": {
   "en": "Text Embedding Encoding",
   "zh": "文本嵌入编码",
   "level": "l3"
  },
  "CAP_6000ff8b": {
   "en": "Memory Context Assembly",
   "zh": "记忆上下文装配",
   "level": "l3"
  },
  "CAP_671e0b44": {
   "en": "Random Pairwise Gossip Asynchronous Averaging",
   "zh": "随机成对唤醒异步平均共识",
   "level": "l2"
  },
  "CAP_2325f66d": {
   "en": "Push-Sum Asynchronous Averaging",
   "zh": "质量守恒推拉异步平均共识",
   "level": "l2"
  },
  "CAP_80121a12": {
   "en": "Asynchronous ADMM Consensus Optimization",
   "zh": "异步 ADMM 共识优化",
   "level": "l2"
  },
  "CAP_fb9ab549": {
   "en": "ARock Asynchronous Parallel Coordinate Update",
   "zh": "ARock 异步并行坐标更新共识",
   "level": "l2"
  },
  "CAP_cfb8ab50": {
   "en": "Topology and Wake-up Clock Setup",
   "zh": "拓扑与唤醒时钟配置",
   "level": "l3"
  },
  "CAP_7a329f3a": {
   "en": "Asynchronous Node Wake-up Detection",
   "zh": "异步节点唤醒检测",
   "level": "l3"
  },
  "CAP_bdf50753": {
   "en": "Random Neighbor Selection",
   "zh": "随机邻居选取",
   "level": "l3"
  },
  "CAP_a9037b00": {
   "en": "Pairwise State Exchange and Averaging",
   "zh": "成对状态交换与平均",
   "level": "l3"
  },
  "CAP_a815d4f4": {
   "en": "Gossip Convergence Check",
   "zh": "Gossip 收敛检查",
   "level": "l3"
  },
  "CAP_7bc49071": {
   "en": "Directed Graph and Push Schedule Setup",
   "zh": "有向图与推送调度配置",
   "level": "l3"
  },
  "CAP_40343cde": {
   "en": "Local Mass Initialization",
   "zh": "本地质量初始化",
   "level": "l3"
  },
  "CAP_b8ffc317": {
   "en": "Asynchronous Push to Out-Neighbors",
   "zh": "异步推送至出邻居",
   "level": "l3"
  },
  "CAP_32e493b5": {
   "en": "Mass Aggregation and Ratio Update",
   "zh": "质量累加与比例更新",
   "level": "l3"
  },
  "CAP_371922f5": {
   "en": "Ratio Consensus Convergence Check",
   "zh": "比例共识收敛检查",
   "level": "l3"
  },
  "CAP_aa1cb00a": {
   "en": "Consensus Optimization Problem Setup",
   "zh": "共识优化问题建模",
   "level": "l3"
  },
  "CAP_3fddd25f": {
   "en": "Asynchronous Primal Subproblem Solve",
   "zh": "异步原变量子问题求解",
   "level": "l3"
  },
  "CAP_e023f631": {
   "en": "Non-blocking Neighbor Broadcast",
   "zh": "非阻塞邻居广播",
   "level": "l3"
  },
  "CAP_4a2e9135": {
   "en": "Auxiliary and Dual Update on Arrival",
   "zh": "消息到达时辅助与对偶更新",
   "level": "l3"
  },
  "CAP_9354098d": {
   "en": "Fixed-Point Operator Construction",
   "zh": "定点算子构造",
   "level": "l3"
  },
  "CAP_df236a5f": {
   "en": "Shared State and Worker Pool Setup",
   "zh": "共享状态与 worker 池配置",
   "level": "l3"
  },
  "CAP_5e705e8b": {
   "en": "Asynchronous Coordinate Selection and Stale Read",
   "zh": "异步坐标选取与过时读取",
   "level": "l3"
  },
  "CAP_933b4711": {
   "en": "Fixed-Point Step and Non-blocking Write",
   "zh": "定点步与非阻塞写回",
   "level": "l3"
  },
  "CAP_ca6f8444": {
   "en": "Fixed-Point Residual Convergence Check",
   "zh": "定点残差收敛检查",
   "level": "l3"
  },
  "CAP_37bc14bf": {
   "en": "Native Batched Step Execution Backend",
   "zh": "C++ 原生批量化步进执行后端",
   "level": "l3"
  },
  "CAP_39e1e7df": {
   "en": "Asynchronous Send Recv Streaming Interface",
   "zh": "异步 send/recv 流式接口",
   "level": "l3"
  },
  "CAP_f7f09ff7": {
   "en": "Python Vectorized Env Creation",
   "zh": "Python 向量化环境创建",
   "level": "l2"
  },
  "CAP_6db15e11": {
   "en": "Async Vector Environment Multiprocess Orchestration",
   "zh": "异步向量化环境多进程编排",
   "level": "l3"
  },
  "CAP_8cb93699": {
   "en": "Batched Space Construction",
   "zh": "批量化空间构建",
   "level": "l3"
  },
  "CAP_33589832": {
   "en": "Vectorized Interaction and Autoreset",
   "zh": "向量化交互与自动重置",
   "level": "l3"
  },
  "CAP_5b7688f7": {
   "en": "Centralized Inference Actor-Learner Pipeline",
   "zh": "集中推理 Actor-Learner 流水线",
   "level": "l2"
  },
  "CAP_77d61c53": {
   "en": "Streaming RPC Obs Action Communication",
   "zh": "流式 RPC 观测动作通信",
   "level": "l3"
  },
  "CAP_cf4081ca": {
   "en": "Learner Batched Inference Server",
   "zh": "Learner 批量化推理服务器",
   "level": "l3"
  },
  "CAP_b0d32045": {
   "en": "Inference Training Core Ratio Tuning",
   "zh": "推理训练核比例调优",
   "level": "l3"
  },
  "CAP_ba832d7f": {
   "en": "ROS DDS Live Attack Surface Discovery",
   "zh": "ROS/DDS 运行时攻击面发现",
   "level": "l2"
  },
  "CAP_ccaa60bb": {
   "en": "ROS Graph Topology Discovery",
   "zh": "ROS Graph 拓扑发现",
   "level": "l3"
  },
  "CAP_db55f54a": {
   "en": "TCP UDP Port Service Fingerprinting",
   "zh": "TCP/UDP 端口与服务指纹识别",
   "level": "l3"
  },
  "CAP_561a3f9d": {
   "en": "Unauthenticated Interface Enumeration",
   "zh": "未认证接口枚举",
   "level": "l3"
  },
  "CAP_f793d7f2": {
   "en": "Exposure Matrix Risk Annotation",
   "zh": "暴露面矩阵与风险标注",
   "level": "l3"
  },
  "CAP_31449025": {
   "en": "IEC 62443 Industrial Cell Attack Surface Mapping",
   "zh": "IEC 62443 工业单元攻击面映射",
   "level": "l2"
  },
  "CAP_da483910": {
   "en": "Industrial Robot Cell Asset Inventory",
   "zh": "工业机器人单元资产盘点",
   "level": "l3"
  },
  "CAP_6b2fac97": {
   "en": "IEC 62443 Zone Conduit Partition",
   "zh": "IEC 62443 Zone 与 Conduit 划分",
   "level": "l3"
  },
  "CAP_14b5ff60": {
   "en": "Physical Interface Enumeration",
   "zh": "物理接口枚举",
   "level": "l3"
  },
  "CAP_e280d5f7": {
   "en": "Industrial Protocol Fingerprinting",
   "zh": "工业协议指纹识别",
   "level": "l3"
  },
  "CAP_3078145d": {
   "en": "RVD CVE Vulnerability Mapping",
   "zh": "RVD/CVE 漏洞映射",
   "level": "l3"
  },
  "CAP_5e2472ab": {
   "en": "Security Level Gap Assessment",
   "zh": "安全等级差距评估",
   "level": "l3"
  },
  "CAP_e9da3cb4": {
   "en": "Firmware SBOM Attack Surface Enumeration",
   "zh": "固件与 SBOM 攻击面枚举",
   "level": "l2"
  },
  "CAP_5295ff95": {
   "en": "Firmware Image Extraction",
   "zh": "固件镜像提取",
   "level": "l3"
  },
  "CAP_62b5629a": {
   "en": "EMBA Deep Firmware Analysis",
   "zh": "EMBA 固件深度安全分析",
   "level": "l3"
  },
  "CAP_ab0f6d90": {
   "en": "Syft SBOM Generation",
   "zh": "Syft SBOM 生成",
   "level": "l3"
  },
  "CAP_9730a731": {
   "en": "Grype Vulnerability Matching",
   "zh": "Grype 漏洞匹配",
   "level": "l3"
  },
  "CAP_10a87c24": {
   "en": "Dependency Track Portfolio Management",
   "zh": "Dependency-Track 持续组合管理",
   "level": "l3"
  },
  "CAP_24894816": {
   "en": "RVD Robot Specific Vulnerability Supplement",
   "zh": "RVD 机器人专属漏洞补充",
   "level": "l3"
  },
  "CAP_5da5722e": {
   "en": "STRIDE Kill Chain Threat Modeling",
   "zh": "STRIDE 与 Kill Chain 威胁建模",
   "level": "l2"
  },
  "CAP_972a7634": {
   "en": "DFD Component Decomposition",
   "zh": "DFD 组件分解",
   "level": "l3"
  },
  "CAP_b2b3f583": {
   "en": "STRIDE Threat Enumeration",
   "zh": "STRIDE 威胁枚举",
   "level": "l3"
  },
  "CAP_98d9232f": {
   "en": "Kill Chain Attack Path Mapping",
   "zh": "Kill Chain 攻击路径映射",
   "level": "l3"
  },
  "CAP_62c5ec7e": {
   "en": "ATT&CK ICS Technique Mapping",
   "zh": "ATT&CK for ICS 技术映射",
   "level": "l3"
  },
  "CAP_70aff5c1": {
   "en": "CVSS Risk Rating",
   "zh": "CVSS 风险评分",
   "level": "l3"
  },
  "CAP_945a61c0": {
   "en": "Threat Register Attack Tree Output",
   "zh": "威胁登记册与攻击树输出",
   "level": "l3"
  },
  "CAP_aad7dc21": {
   "en": "ISO 21434 TARA Autonomous Vehicle",
   "zh": "ISO/SAE 21434 自动驾驶 TARA",
   "level": "l2"
  },
  "CAP_56bc7a78": {
   "en": "Item Definition Asset Identification",
   "zh": "Item 定义与资产识别",
   "level": "l3"
  },
  "CAP_9e7337c3": {
   "en": "Damage Scenario Definition",
   "zh": "损害场景定义",
   "level": "l3"
  },
  "CAP_f9f1305f": {
   "en": "Threat Scenario Attack Path Derivation",
   "zh": "威胁场景与攻击路径推导",
   "level": "l3"
  },
  "CAP_4a6c141d": {
   "en": "In-Vehicle Network Attack Surface Enumeration",
   "zh": "车内网络攻击面枚举",
   "level": "l3"
  },
  "CAP_8294d62a": {
   "en": "Impact Severity Rating",
   "zh": "影响与严重度评估",
   "level": "l3"
  },
  "CAP_b25b8249": {
   "en": "R155 Compliance Risk Classification",
   "zh": "R155 合规风险分类",
   "level": "l3"
  },
  "CAP_6f2dafbd": {
   "en": "Multi-Modal Perception Encoding",
   "zh": "多模态感知编码",
   "level": "l3"
  },
  "CAP_4de70466": {
   "en": "Bottom-Up Saliency Computation",
   "zh": "自下而上显著性计算",
   "level": "l3"
  },
  "CAP_47d893ee": {
   "en": "Top-Down Task Query Generation",
   "zh": "自上而下任务查询生成",
   "level": "l3"
  },
  "CAP_db422d9c": {
   "en": "Competitive Attention Fusion",
   "zh": "竞争性注意力融合",
   "level": "l3"
  },
  "CAP_a51de325": {
   "en": "Cognitive Resource Allocation",
   "zh": "认知资源分配",
   "level": "l3"
  },
  "CAP_93d4f092": {
   "en": "Attended Information Broadcast & Working Memory Update",
   "zh": "注意力信息广播与工作记忆更新",
   "level": "l3"
  },
  "CAP_01c90b8f": {
   "en": "Global Broadcast & Working Memory Update",
   "zh": "全局广播与工作记忆更新",
   "level": "l3"
  },
  "CAP_868debf8": {
   "en": "Instruction-Guided Visual Token Scoring",
   "zh": "指令引导视觉 token 评分",
   "level": "l2"
  },
  "CAP_2a9f31d9": {
   "en": "Selective Token Retention",
   "zh": "选择性 token 保留",
   "level": "l3"
  },
  "CAP_b313d3c2": {
   "en": "Event-Driven Keyframe Memory",
   "zh": "事件驱动关键帧记忆",
   "level": "l3"
  },
  "CAP_172e5eb4": {
   "en": "Adaptive Multimodal Fusion",
   "zh": "自适应多模态融合",
   "level": "l3"
  },
  "CAP_2c43a999": {
   "en": "Differentiable Token Pruning",
   "zh": "可微分 token 剪枝",
   "level": "l3"
  },
  "CAP_25518421": {
   "en": "Training-Free Token Pruning",
   "zh": "免训练 token 剪枝",
   "level": "l3"
  },
  "CAP_16ad266a": {
   "en": "Kinematic Event Detection",
   "zh": "运动学事件检测",
   "level": "l3"
  },
  "CAP_8fc07cd9": {
   "en": "Foresight Keyframe Prediction",
   "zh": "前瞻关键帧预测",
   "level": "l3"
  },
  "CAP_33d7f1d5": {
   "en": "Adaptive Multimodal Dynamic Routing",
   "zh": "自适应多模态动态路由",
   "level": "l2"
  },
  "CAP_b66c4bbd": {
   "en": "Dynamic Gating Fusion",
   "zh": "动态门控融合",
   "level": "l3"
  },
  "CAP_0423770c": {
   "en": "Memristor Spatial Attention Encoding",
   "zh": "忆阻器空间注意力编码",
   "level": "l3"
  },
  "CAP_5e3a6356": {
   "en": "In-Memory Attention Scoring",
   "zh": "存内计算注意力评分",
   "level": "l3"
  },
  "CAP_42cedcb6": {
   "en": "STL Neuron Spatial Attention Encoding",
   "zh": "STL神经元空间注意力编码",
   "level": "l3"
  },
  "CAP_b14e47fe": {
   "en": "BU/TD Attention Co-Regulation",
   "zh": "双向注意力协同调控",
   "level": "l3"
  },
  "CAP_e5de7a56": {
   "en": "Online In-Situ Plasticity for Attention",
   "zh": "在线原位注意力可塑性",
   "level": "l3"
  },
  "CAP_007cb0b3": {
   "en": "Stochastic Bayesian Attention Estimation",
   "zh": "随机贝叶斯注意力估计",
   "level": "l3"
  },
  "CAP_ebcbe1bc": {
   "en": "Attention Crowd Counting",
   "zh": "注意力人群计数",
   "level": "l2"
  },
  "CAP_32cfe251": {
   "en": "Crowd Counting Image Preprocessing",
   "zh": "人群计数图像预处理",
   "level": "l3"
  },
  "CAP_ddc6e760": {
   "en": "VGG Frontend Feature Extraction",
   "zh": "VGG前端特征提取",
   "level": "l3"
  },
  "CAP_4ec17f4d": {
   "en": "Gaussian Density Map GT Generation",
   "zh": "高斯密度图真值生成",
   "level": "l3"
  },
  "CAP_e6c6aab0": {
   "en": "Density Map Regression Head",
   "zh": "密度图回归头",
   "level": "l3"
  },
  "CAP_3cadacd3": {
   "en": "Density Map Integration Count",
   "zh": "密度图积分计数",
   "level": "l3"
  },
  "CAP_696d056a": {
   "en": "Crowd Counting MAE MSE Evaluation",
   "zh": "人群计数MAE/MSE评估",
   "level": "l3"
  },
  "CAP_70ebce12": {
   "en": "Spatial Channel Attention Feature Enhancement",
   "zh": "空间通道注意力特征增强",
   "level": "l3"
  },
  "CAP_41ba2f45": {
   "en": "Attention Scaling Factor",
   "zh": "注意力缩放因子",
   "level": "l3"
  },
  "CAP_32c5cff6": {
   "en": "Attention Injective Deformable Conv",
   "zh": "注意力注入可变形卷积",
   "level": "l3"
  },
  "CAP_c3c1d170": {
   "en": "Patch Embedding Tokenization",
   "zh": "Patch嵌入与Token化",
   "level": "l3"
  },
  "CAP_7f6c9a9e": {
   "en": "Transformer Encoder Multi Head Self Attention",
   "zh": "Transformer编码器多头自注意力",
   "level": "l3"
  },
  "CAP_3289f5dc": {
   "en": "Pyramid Feature Aggregation",
   "zh": "金字塔特征聚合",
   "level": "l3"
  },
  "CAP_60d98dde": {
   "en": "Overlap Patching ViT",
   "zh": "重叠分块ViT",
   "level": "l3"
  },
  "CAP_fe4982d7": {
   "en": "Learnable Region Attention",
   "zh": "可学习区域注意力",
   "level": "l3"
  },
  "CAP_9c904d07": {
   "en": "Instance Attention Loss",
   "zh": "实例注意力损失",
   "level": "l3"
  },
  "CAP_0bfc1509": {
   "en": "Local Attention Regularization",
   "zh": "局部注意力正则化",
   "level": "l3"
  },
  "CAP_592424b9": {
   "en": "Segmentation Focus from Points",
   "zh": "点标注派生分割聚焦",
   "level": "l3"
  },
  "CAP_7b58cb21": {
   "en": "Global Density Focus Bilinear Pooling",
   "zh": "全局密度聚焦双线性池化",
   "level": "l3"
  },
  "CAP_1fee271c": {
   "en": "Quality Net Branch Selection",
   "zh": "质量网络分支选择",
   "level": "l3"
  },
  "CAP_6b09608a": {
   "en": "Face Perception for Gaze",
   "zh": "面向视线的面部感知",
   "level": "l2"
  },
  "CAP_4a7b7504": {
   "en": "Facial Landmark Detection",
   "zh": "面部关键点检测",
   "level": "l3"
  },
  "CAP_d3c755c9": {
   "en": "Gaze Data Normalization",
   "zh": "视线数据归一化",
   "level": "l3"
  },
  "CAP_2140fdd4": {
   "en": "Deep Learning Gaze Regression",
   "zh": "深度学习视线回归",
   "level": "l2"
  },
  "CAP_76777232": {
   "en": "Gaze Patch Extraction",
   "zh": "视线图像块提取",
   "level": "l3"
  },
  "CAP_e98d3b3c": {
   "en": "Gaze Regression CNN",
   "zh": "视线回归卷积神经网络",
   "level": "l3"
  },
  "CAP_e60bce7a": {
   "en": "3D Gaze Ray Composition",
   "zh": "3D 注视射线合成",
   "level": "l3"
  },
  "CAP_0c6ce25e": {
   "en": "Face Mesh Iris Detection",
   "zh": "面部网格与虹膜检测",
   "level": "l2"
  },
  "CAP_7971daba": {
   "en": "Face Mesh Landmark Detection",
   "zh": "面部网格关键点检测",
   "level": "l3"
  },
  "CAP_6b130143": {
   "en": "Iris Landmark Detection",
   "zh": "虹膜关键点检测",
   "level": "l3"
  },
  "CAP_00d1b480": {
   "en": "Eyeball Sphere Fitting",
   "zh": "眼球球体拟合",
   "level": "l3"
  },
  "CAP_a8ce1355": {
   "en": "Geometric Gaze Ray Computation",
   "zh": "几何视线射线计算",
   "level": "l2"
  },
  "CAP_6a9ce28e": {
   "en": "Iris Backprojection",
   "zh": "虹膜反投影球体求交",
   "level": "l3"
  },
  "CAP_4c21a5fa": {
   "en": "Gaze Ray Geometric Composition",
   "zh": "几何注视射线合成",
   "level": "l3"
  },
  "CAP_1c18f626": {
   "en": "Gaze Direction Acquisition",
   "zh": "视线方向获取",
   "level": "l3"
  },
  "CAP_392c95aa": {
   "en": "Scene Target Feature Computation",
   "zh": "场景目标与特征计算",
   "level": "l2"
  },
  "CAP_99760351": {
   "en": "Scene Target 3D Localization",
   "zh": "场景目标 3D 定位",
   "level": "l3"
  },
  "CAP_547ab872": {
   "en": "Gaze-Target Feature Computation",
   "zh": "视线-目标特征计算",
   "level": "l3"
  },
  "CAP_f26880c0": {
   "en": "VFOA Estimation",
   "zh": "视觉注意力焦点估计",
   "level": "l2"
  },
  "CAP_6e7e0171": {
   "en": "VFOA Probabilistic Modeling",
   "zh": "VFOA 概率图模型",
   "level": "l3"
  },
  "CAP_5d39b72e": {
   "en": "Attention State Output",
   "zh": "注意力状态输出",
   "level": "l3"
  },
  "CAP_a3e6131d": {
   "en": "Conversational Gaze Aversion",
   "zh": "会话凝视回避",
   "level": "l3"
  },
  "CAP_74b17618": {
   "en": "Gaze Behavior Foundation",
   "zh": "凝视行为基础",
   "level": "l2"
  },
  "CAP_0b0bccdd": {
   "en": "Face Capture and Detection",
   "zh": "人脸采集与检测",
   "level": "l3"
  },
  "CAP_1c99846a": {
   "en": "Face Position Kalman Prediction",
   "zh": "人脸位置卡尔曼预测",
   "level": "l3"
  },
  "CAP_e971e1a8": {
   "en": "Mutual Gaze Face Tracking",
   "zh": "互视人脸跟踪",
   "level": "l3"
  },
  "CAP_ad50ca28": {
   "en": "Conversational State Inference",
   "zh": "会话状态推断",
   "level": "l3"
  },
  "CAP_b6eeecaf": {
   "en": "Gaze Aversion Strategy Selection",
   "zh": "凝视回避策略选择",
   "level": "l3"
  },
  "CAP_e3999583": {
   "en": "Purposeful Gaze Aversion Motion",
   "zh": "目的性凝视回避运动",
   "level": "l3"
  },
  "CAP_6a6e5f20": {
   "en": "Idle Head Motion Generation",
   "zh": "空闲头部微动生成",
   "level": "l3"
  },
  "CAP_b68ec86a": {
   "en": "Lifelike Gaze via Subsumption",
   "zh": "包容式拟真凝视",
   "level": "l2"
  },
  "CAP_5b14b20f": {
   "en": "Person of Interest Selection",
   "zh": "兴趣人物选择",
   "level": "l3"
  },
  "CAP_d2e97bd4": {
   "en": "Attention Habituation Modeling",
   "zh": "注意习惯化建模",
   "level": "l3"
  },
  "CAP_dc7d376f": {
   "en": "Gaze Behavior State Machine",
   "zh": "凝视行为状态机",
   "level": "l3"
  },
  "CAP_67069e51": {
   "en": "Saccade Motion Generation",
   "zh": "扫视运动生成",
   "level": "l3"
  },
  "CAP_a5679fcf": {
   "en": "Actuator Bandwidth Tiering",
   "zh": "执行器带宽分层",
   "level": "l3"
  },
  "CAP_fe3d51fa": {
   "en": "Subsumption Layer Composition",
   "zh": "包容式行为分层合成",
   "level": "l3"
  },
  "CAP_63856c93": {
   "en": "Conversational Role Gaze Allocation",
   "zh": "会话角色凝视分配",
   "level": "l2"
  },
  "CAP_4583e2d0": {
   "en": "Conversational Role Inference",
   "zh": "会话角色推断",
   "level": "l3"
  },
  "CAP_ba14b0a7": {
   "en": "Role Based Gaze Pattern Selection",
   "zh": "角色凝视模式选择",
   "level": "l3"
  },
  "CAP_7b916393": {
   "en": "Turn Taking Gaze Signaling",
   "zh": "话轮凝视信号",
   "level": "l3"
  },
  "CAP_394360a0": {
   "en": "Gaze Allocation Planner",
   "zh": "凝视分配规划",
   "level": "l3"
  },
  "CAP_959299d9": {
   "en": "Task Context Mutual Gaze Limiting",
   "zh": "任务上下文互视抑制",
   "level": "l2"
  },
  "CAP_51ba1480": {
   "en": "Mutual Gaze Detection",
   "zh": "互视检测",
   "level": "l3"
  },
  "CAP_9ea2e4d7": {
   "en": "Task State Perception",
   "zh": "任务状态感知",
   "level": "l3"
  },
  "CAP_2579e22b": {
   "en": "Mutual Gaze Duration Gating",
   "zh": "互视时长门控",
   "level": "l3"
  },
  "CAP_651d0dea": {
   "en": "Task State Mutual Gaze Suppression",
   "zh": "任务态互视抑制",
   "level": "l3"
  },
  "CAP_9a5e0d1d": {
   "en": "Averted Gaze Substitution",
   "zh": "回避凝视替代",
   "level": "l3"
  },
  "CAP_e76b4033": {
   "en": "Driver Distraction State Classification",
   "zh": "驾驶员分心状态分类",
   "level": "l2"
  },
  "CAP_f1b4207e": {
   "en": "In-Cabin Frame Acquisition",
   "zh": "座舱内摄像头帧采集",
   "level": "l3"
  },
  "CAP_ab6fa764": {
   "en": "Driver Face Detection",
   "zh": "驾驶员人脸检测",
   "level": "l3"
  },
  "CAP_cb77c791": {
   "en": "Facial Landmark and Head Pose Extraction",
   "zh": "面部关键点与头部姿态抽取",
   "level": "l3"
  },
  "CAP_a76596c3": {
   "en": "Gaze and Blink Feature Extraction",
   "zh": "视线与眨眼特征抽取",
   "level": "l3"
  },
  "CAP_7dbcde80": {
   "en": "Attention State Mapping and Alert",
   "zh": "注意力状态映射与告警",
   "level": "l3"
  },
  "CAP_94a41502": {
   "en": "Scan-Path Attention State Inference",
   "zh": "眼动事件分析注意力状态推断",
   "level": "l2"
  },
  "CAP_e6e9169e": {
   "en": "Eye Tracker Calibration",
   "zh": "眼动仪标定",
   "level": "l3"
  },
  "CAP_6edd8128": {
   "en": "Gaze Sample Stream Acquisition",
   "zh": "Gaze 样本流采集",
   "level": "l3"
  },
  "CAP_efc54e6f": {
   "en": "I-VT Velocity Threshold Event Detection",
   "zh": "I-VT 速度阈值事件检测",
   "level": "l3"
  },
  "CAP_fbb724ed": {
   "en": "I-DT Dispersion Threshold Event Detection",
   "zh": "I-DT 离散度阈值事件检测",
   "level": "l3"
  },
  "CAP_c5775d18": {
   "en": "Saccade and Pursuit Extraction",
   "zh": "扫视与平滑追踪抽取",
   "level": "l3"
  },
  "CAP_e32cbb95": {
   "en": "ROI Mapping and Dwell Time",
   "zh": "ROI 映射与驻留时长计算",
   "level": "l3"
  },
  "CAP_6773b203": {
   "en": "Scan-Path Metric Computation",
   "zh": "Scan-Path 指标计算",
   "level": "l3"
  },
  "CAP_63111b07": {
   "en": "HMM/LSTM Temporal State Classification",
   "zh": "HMM/LSTM 时序状态分类",
   "level": "l3"
  },
  "CAP_e5b62bfc": {
   "en": "HRI Multimodal Engagement Detection",
   "zh": "HRI 多模态参与状态推断",
   "level": "l2"
  },
  "CAP_e3c1d024": {
   "en": "Robot Multimodal Stream Acquisition",
   "zh": "机器人多模态流采集",
   "level": "l3"
  },
  "CAP_56a6bfa9": {
   "en": "Multimodal Preprocessing and Sync",
   "zh": "多模态预处理与同步",
   "level": "l3"
  },
  "CAP_ff9ae0f2": {
   "en": "Facial AU and Head Pose Extraction",
   "zh": "面部 AU 与头姿抽取",
   "level": "l3"
  },
  "CAP_99709387": {
   "en": "Vocal Prosody Feature Extraction",
   "zh": "语音韵律特征抽取",
   "level": "l3"
  },
  "CAP_e7166a74": {
   "en": "Multimodal Feature Normalization and Alignment",
   "zh": "多模态特征归一化与对齐",
   "level": "l3"
  },
  "CAP_18e6217f": {
   "en": "Multimodal Late Fusion",
   "zh": "多模态晚融合",
   "level": "l3"
  },
  "CAP_d7f70b77": {
   "en": "Engagement State Classifier",
   "zh": "参与状态分类器",
   "level": "l3"
  },
  "CAP_a903d5b4": {
   "en": "Engagement State Output",
   "zh": "参与状态输出",
   "level": "l3"
  },
  "CAP_b314d304": {
   "en": "SO3 Geometric Attitude Stabilization",
   "zh": "SO(3) 几何姿态稳定",
   "level": "l2"
  },
  "CAP_2554f310": {
   "en": "Spacecraft Momentum Exchange Attitude Stabilization",
   "zh": "航天器动量交换姿态稳定",
   "level": "l2"
  },
  "CAP_91a16bba": {
   "en": "Thrust Vector Decomposition",
   "zh": "推力向量分解",
   "level": "l3"
  },
  "CAP_1d738e23": {
   "en": "Quadrotor Control Allocation",
   "zh": "四旋翼控制分配",
   "level": "l3"
  },
  "CAP_0127ce74": {
   "en": "Quaternion Attitude Error Computation",
   "zh": "四元数姿态误差计算",
   "level": "l3"
  },
  "CAP_0521189d": {
   "en": "Attitude Stabilization P Controller",
   "zh": "姿态自稳P控制器",
   "level": "l3"
  },
  "CAP_0460fa45": {
   "en": "SO3 Geometric Attitude Control Law",
   "zh": "SO(3) 几何姿态控制律",
   "level": "l3"
  },
  "CAP_6e4a6713": {
   "en": "Spacecraft MRP Attitude Feedback Control Law",
   "zh": "航天器 MRP 姿态反馈控制律",
   "level": "l3"
  },
  "CAP_34b3ce2f": {
   "en": "Reaction Wheel Control and Momentum Management",
   "zh": "反作用轮控制与动量管理",
   "level": "l3"
  },
  "CAP_82d6ebeb": {
   "en": "CMG Steering Law and Singularity Avoidance",
   "zh": "CMG 操纵律与奇异性规避",
   "level": "l3"
  },
  "CAP_ec182d37": {
   "en": "Magnetorquer Detumbling and Momentum Dumping",
   "zh": "磁力矩器去翻滚与动量卸载",
   "level": "l3"
  },
  "CAP_b06b4e76": {
   "en": "Audio Anomaly Detection",
   "zh": "音频异常检测",
   "level": "l2"
  },
  "CAP_ca634c58": {
   "en": "Log-Mel Spectrogram Extraction for ASD",
   "zh": "ASD 专用 Log-Mel 频谱图提取",
   "level": "l3"
  },
  "CAP_721bd543": {
   "en": "AE Model Construction for Audio Anomaly",
   "zh": "音频异常检测自编码器构建",
   "level": "l3"
  },
  "CAP_09503334": {
   "en": "AE Training on Normal Audio",
   "zh": "正常音频自编码器训练",
   "level": "l3"
  },
  "CAP_f2f0f6c2": {
   "en": "Audio Reconstruction Error Computation",
   "zh": "音频重构误差计算",
   "level": "l3"
  },
  "CAP_bfe4f47a": {
   "en": "Audio Anomaly Score Aggregation",
   "zh": "音频异常分数聚合",
   "level": "l3"
  },
  "CAP_1514841d": {
   "en": "AUC pAUC Evaluation for ASD",
   "zh": "ASD AUC/pAUC 评测",
   "level": "l3"
  },
  "CAP_7c55b4cc": {
   "en": "Anomaly Score Threshold & CSV Output",
   "zh": "异常分数阈值与 CSV 输出",
   "level": "l3"
  },
  "CAP_78e15893": {
   "en": "Machine ID Embedding & Metadata Parsing",
   "zh": "机号嵌入与元数据解析",
   "level": "l3"
  },
  "CAP_e5726f24": {
   "en": "Conditional/Grouped AE Training",
   "zh": "条件化/分组自编码器训练",
   "level": "l3"
  },
  "CAP_aef4943f": {
   "en": "Per-ID Anomaly Score Calibration",
   "zh": "按机号异常分数校准",
   "level": "l3"
  },
  "CAP_84463fde": {
   "en": "Pretrained Backbone Feature Extraction for Audio",
   "zh": "音频预训练骨干特征提取",
   "level": "l3"
  },
  "CAP_303b51dd": {
   "en": "Mahalanobis Distribution Fitting for Audio",
   "zh": "音频 Mahalanobis 分布拟合",
   "level": "l3"
  },
  "CAP_58a4fdeb": {
   "en": "PatchCore Memory Bank for Audio",
   "zh": "音频 PatchCore 记忆库",
   "level": "l3"
  },
  "CAP_3a73a251": {
   "en": "Audio Foundation Model Loading for ASD",
   "zh": "ASD 音频基础模型加载",
   "level": "l3"
  },
  "CAP_77f3b0b9": {
   "en": "Few-Shot Distribution Fitting on Foundation Features",
   "zh": "基础模型特征少样本分布拟合",
   "level": "l3"
  },
  "CAP_a836ab8b": {
   "en": "Domain Generalization Training with Augmentation",
   "zh": "域泛化增强训练",
   "level": "l3"
  },
  "CAP_26d3f670": {
   "en": "Classical Feature Scene Classification Pipeline",
   "zh": "经典特征场景分类流水线",
   "level": "l3"
  },
  "CAP_1b1b22b5": {
   "en": "Frame MFCC Feature Extraction",
   "zh": "帧级 MFCC 特征提取",
   "level": "l3"
  },
  "CAP_4e130835": {
   "en": "Scene Level Feature Aggregation",
   "zh": "场景级特征聚合",
   "level": "l3"
  },
  "CAP_5ff79e3a": {
   "en": "Statistical Scene Classifier Training",
   "zh": "统计场景分类器训练",
   "level": "l3"
  },
  "CAP_60c7571a": {
   "en": "Scene Hypothesis Post Processing",
   "zh": "场景假设后处理",
   "level": "l3"
  },
  "CAP_b7e59334": {
   "en": "Multiscale CNN Scene Classification Pipeline",
   "zh": "多尺度 CNN 场景分类流水线",
   "level": "l3"
  },
  "CAP_c2f51fc7": {
   "en": "Multiscale CNN Scene Training",
   "zh": "多尺度 CNN 场景训练",
   "level": "l3"
  },
  "CAP_60eeebe9": {
   "en": "Edge Model Quantization",
   "zh": "边缘模型量化",
   "level": "l3"
  },
  "CAP_2da18493": {
   "en": "CNN Scene Inference",
   "zh": "CNN 场景推理",
   "level": "l3"
  },
  "CAP_244f6726": {
   "en": "Audio Transformer Scene Classification Pipeline",
   "zh": "音频 Transformer 场景分类流水线",
   "level": "l3"
  },
  "CAP_a69915eb": {
   "en": "Spectrogram Patching And Normalization",
   "zh": "谱图 Patch 化与归一",
   "level": "l3"
  },
  "CAP_626fbebb": {
   "en": "Transformer Scene Fine Tuning",
   "zh": "Transformer 场景微调",
   "level": "l3"
  },
  "CAP_6f5fe365": {
   "en": "Transformer Scene Inference",
   "zh": "Transformer 场景推理",
   "level": "l3"
  },
  "CAP_fb9e4c3f": {
   "en": "Efficient CNN Backbone Feature Extraction",
   "zh": "高效 CNN 骨干特征提取",
   "level": "l3"
  },
  "CAP_a3eb2e39": {
   "en": "Pretrained Visual Feature Extraction",
   "zh": "预训练视觉特征提取",
   "level": "l3"
  },
  "CAP_e18f9ebe": {
   "en": "AV Source Separation Pipeline",
   "zh": "视听声源分离流水线",
   "level": "l2"
  },
  "CAP_5c705429": {
   "en": "Face-Embedded Visual Prior Extraction",
   "zh": "人脸嵌入视觉先验提取",
   "level": "l3"
  },
  "CAP_18c107c1": {
   "en": "Pixel-Level Visual Feature Extraction",
   "zh": "像素级视觉特征提取",
   "level": "l3"
  },
  "CAP_9ada56ed": {
   "en": "Audio-Visual Joint Encoding",
   "zh": "视听联合编码",
   "level": "l3"
  },
  "CAP_8533683a": {
   "en": "Visual-Conditioned Spectrogram Masking",
   "zh": "视觉条件化频谱掩模估计",
   "level": "l3"
  },
  "CAP_ce2af77f": {
   "en": "Time-Frequency Masking and ISTFT Reconstruction",
   "zh": "时频掩蔽与ISTFT重建",
   "level": "l3"
  },
  "CAP_0167d687": {
   "en": "Audio Separation Quality Evaluation",
   "zh": "音频分离质量评估",
   "level": "l3"
  },
  "CAP_06f6e16a": {
   "en": "AV Sounding Object Segmentation Pipeline",
   "zh": "视听发声物体分割流水线",
   "level": "l2"
  },
  "CAP_91b33cc1": {
   "en": "Dual-Backbone AV Feature Extraction",
   "zh": "双骨架视听特征提取",
   "level": "l3"
  },
  "CAP_1b55153e": {
   "en": "Temporal Pixel-wise AV Interaction",
   "zh": "时序像素级视听交互",
   "level": "l3"
  },
  "CAP_98c1a051": {
   "en": "AV Pixel Mask Prediction",
   "zh": "视听像素掩码预测",
   "level": "l3"
  },
  "CAP_d3061c9b": {
   "en": "AV Segmentation Post-processing",
   "zh": "视听分割后处理",
   "level": "l3"
  },
  "CAP_cbccd0b5": {
   "en": "AV Segmentation Quality Evaluation",
   "zh": "视听分割质量评估",
   "level": "l3"
  },
  "CAP_6c460801": {
   "en": "AV Event Localization Pipeline",
   "zh": "视听事件定位流水线",
   "level": "l2"
  },
  "CAP_7f82aa0e": {
   "en": "Dual-Stream Frame Feature Extraction",
   "zh": "双流帧级特征提取",
   "level": "l3"
  },
  "CAP_05fd81fb": {
   "en": "Dual-Modal Self-Attention",
   "zh": "双模态自注意力",
   "level": "l3"
  },
  "CAP_f041e26f": {
   "en": "Cross-Modal Attention Fusion",
   "zh": "跨模态注意力融合",
   "level": "l3"
  },
  "CAP_5252cb00": {
   "en": "AV Event Classification & Sounding Decision",
   "zh": "视听事件分类与发声决策",
   "level": "l3"
  },
  "CAP_366db9ef": {
   "en": "Temporal Event Smoothing",
   "zh": "时序事件平滑",
   "level": "l3"
  },
  "CAP_c0ad1ced": {
   "en": "AV Event Localization Evaluation",
   "zh": "视听事件定位评估",
   "level": "l3"
  },
  "CAP_b8b55704": {
   "en": "Embodied AV Active Perception Pipeline",
   "zh": "具身视听主动感知流水线",
   "level": "l2"
  },
  "CAP_9281e0f5": {
   "en": "Egocentric AV Observation Acquisition",
   "zh": "自中心视听观测采集",
   "level": "l3"
  },
  "CAP_51f0e697": {
   "en": "Binaural Audio Encoding",
   "zh": "双耳音频编码",
   "level": "l3"
  },
  "CAP_d38c0515": {
   "en": "Egocentric Visual Encoding",
   "zh": "自中心视觉编码",
   "level": "l3"
  },
  "CAP_317f5c1d": {
   "en": "AV Policy Fusion",
   "zh": "视听策略融合",
   "level": "l3"
  },
  "CAP_82fad9b1": {
   "en": "Embodied Action Decoding",
   "zh": "具身动作解码",
   "level": "l3"
  },
  "CAP_36af5727": {
   "en": "Loop Closure Re-perception",
   "zh": "闭环重感知",
   "level": "l3"
  },
  "CAP_296a1d18": {
   "en": "AV Navigation Evaluation",
   "zh": "视听导航评估",
   "level": "l3"
  },
  "CAP_7b0a53ca": {
   "en": "Task Phase Detection",
   "zh": "任务相位检测",
   "level": "l3"
  },
  "CAP_7ed0088b": {
   "en": "Phase-Change Threshold Evaluation",
   "zh": "相位变化阈值评估",
   "level": "l3"
  },
  "CAP_7d6c7858": {
   "en": "Target LOA Decision",
   "zh": "目标自主度决策",
   "level": "l3"
  },
  "CAP_89b973fe": {
   "en": "LOA Switch Command Generation",
   "zh": "LOA切换指令生成",
   "level": "l3"
  },
  "CAP_b67892aa": {
   "en": "Subtree/Controller Switching",
   "zh": "子树/控制器切换",
   "level": "l3"
  },
  "CAP_bfcb93c0": {
   "en": "Behavior Tree Subtree Switching",
   "zh": "行为树子树切换",
   "level": "l3"
  },
  "CAP_9aeb7d52": {
   "en": "LOA Decision and Triggering",
   "zh": "自动化等级决策与触发",
   "level": "l2"
  },
  "CAP_c549fe27": {
   "en": "LOA Condition Evaluation",
   "zh": "LOA 切换条件评估",
   "level": "l3"
  },
  "CAP_21b120bb": {
   "en": "LOA Command Generation",
   "zh": "LOA 切换指令生成",
   "level": "l3"
  },
  "CAP_777e2f64": {
   "en": "Controller Deactivation",
   "zh": "控制器停用",
   "level": "l3"
  },
  "CAP_f9808e6d": {
   "en": "Controller Activation",
   "zh": "控制器激活",
   "level": "l3"
  },
  "CAP_9325e06b": {
   "en": "Behavior Tree Reconfiguration",
   "zh": "行为树重配置",
   "level": "l2"
  },
  "CAP_8a74001a": {
   "en": "Behavior Tree Loading",
   "zh": "行为树加载",
   "level": "l3"
  },
  "CAP_2ce1b6e9": {
   "en": "Subtree Switching",
   "zh": "子树切换",
   "level": "l3"
  },
  "CAP_52e168e5": {
   "en": "Execution Monitoring and Fallback",
   "zh": "执行监控与降级",
   "level": "l2"
  },
  "CAP_d41290d0": {
   "en": "Controller Health Monitoring",
   "zh": "控制器健康监控",
   "level": "l3"
  },
  "CAP_bad33e8f": {
   "en": "Fallback Decision",
   "zh": "降级决策",
   "level": "l3"
  },
  "CAP_3bbc8a6b": {
   "en": "Fallback Execution",
   "zh": "降级执行",
   "level": "l3"
  },
  "CAP_11f1221d": {
   "en": "Safety Recovery Re-assessment",
   "zh": "安全恢复重评估",
   "level": "l3"
  },
  "CAP_4783448a": {
   "en": "State Estimation and Input Acquisition",
   "zh": "状态估计与输入获取",
   "level": "l2"
  },
  "CAP_86aff8ef": {
   "en": "Robot State Acquisition",
   "zh": "机器人状态获取",
   "level": "l3"
  },
  "CAP_6f5f32e2": {
   "en": "Operator Input Acquisition",
   "zh": "操作员输入获取",
   "level": "l3"
  },
  "CAP_7e6b8a3a": {
   "en": "Safety Constraint Evaluation",
   "zh": "安全约束评估",
   "level": "l2"
  },
  "CAP_74851a1d": {
   "en": "Safety Constraint Definition",
   "zh": "安全约束定义",
   "level": "l3"
  },
  "CAP_cecc481d": {
   "en": "Authority Arbitration and Switching",
   "zh": "权限仲裁与切换",
   "level": "l2"
  },
  "CAP_d5bd920a": {
   "en": "Safety Condition Evaluation",
   "zh": "安全条件评估",
   "level": "l3"
  },
  "CAP_efd41ece": {
   "en": "Operator Control Pass-through",
   "zh": "操作员控制透传",
   "level": "l3"
  },
  "CAP_b891db86": {
   "en": "Safety Takeover",
   "zh": "安全接管",
   "level": "l3"
  },
  "CAP_536c3a0c": {
   "en": "Execution and Monitoring",
   "zh": "执行与监控",
   "level": "l2"
  },
  "CAP_f4adfd8f": {
   "en": "Command Execution",
   "zh": "指令执行",
   "level": "l3"
  },
  "CAP_e4b8fc17": {
   "en": "Fallback Handling",
   "zh": "降级处理",
   "level": "l3"
  },
  "CAP_cde77147": {
   "en": "World-Model-Based Real Robot Online RL Pipeline",
   "zh": "基于世界模型的真机在线RL控制流水线",
   "level": "l3"
  },
  "CAP_c6ea9779": {
   "en": "RSSM Posterior Encoder and Convolutional Observation Encoder",
   "zh": "RSSM后验编码器与卷积观测编码器",
   "level": "l3"
  },
  "CAP_162e84d5": {
   "en": "RSSM Recurrent State Update",
   "zh": "RSSM递归状态更新",
   "level": "l3"
  },
  "CAP_00affdf8": {
   "en": "Categorical Latent Symlog Imagination",
   "zh": "Categorical潜空间Symlog想象",
   "level": "l3"
  },
  "CAP_f5d24a6d": {
   "en": "Real Robot Async Deployment",
   "zh": "真机异步部署",
   "level": "l2"
  },
  "CAP_1e6c687ec8": {
   "en": "VAE Latent Encoder Self-Supervised Training",
   "zh": "VAE潜空间编码器自监督训练",
   "level": "l3"
  },
  "CAP_4f59e655": {
   "en": "World Model Data Collection",
   "zh": "世界模型数据采集",
   "level": "l2"
  },
  "CAP_ca656b96": {
   "en": "Imagined Policy Learning",
   "zh": "想象策略学习",
   "level": "l3"
  },
  "CAP_08065ef5": {
   "en": "VQ-VAE Action Tokenization",
   "zh": "VQ-VAE 动作离散化行为生成",
   "level": "l2"
  },
  "CAP_303d77e6": {
   "en": "Residual VQ-VAE Action Tokenizer",
   "zh": "残差 VQ-VAE 动作 tokenizer 预训练",
   "level": "l3"
  },
  "CAP_20317fe1": {
   "en": "Three-Head Transformer Behavior",
   "zh": "三头 Transformer 行为建模",
   "level": "l3"
  },
  "CAP_3a3f0a29": {
   "en": "VQ-BeT Baseline",
   "zh": "VQ-BeT 基线",
   "level": "l3"
  },
  "CAP_77e42dd5": {
   "en": "Hierarchical VQVAE Skill Prior Learning",
   "zh": "层次化 VQ-VAE 技能先验学习",
   "level": "l3"
  },
  "CAP_6449cb7a3a": {
   "en": "Autoregressive Action Token Sampling and Decoding",
   "zh": "动作token自回归采样与解码",
   "level": "l3"
  },
  "CAP_2858d596": {
   "en": "CVAE Imitation Policy",
   "zh": "CVAE 多模态模仿策略",
   "level": "l2"
  },
  "CAP_1f2b653c": {
   "en": "Test-Time Encoder Drop Sampling",
   "zh": "测试期 encoder 丢弃先验采样",
   "level": "l3"
  },
  "CAP_68c690a3": {
   "en": "ACT Action Chunking Transformer Training",
   "zh": "ACT 行为分块 Transformer 训练",
   "level": "l3"
  },
  "CAP_954353d4": {
   "en": "ACT Policy Behavior Cloning Training",
   "zh": "ACT 策略行为克隆训练",
   "level": "l3"
  },
  "CAP_423fff01": {
   "en": "ACT Policy Training",
   "zh": "ACT 策略训练",
   "level": "l3"
  },
  "CAP_b58ff52a": {
   "en": "ALOHA Leader-Follower Demonstration Pipeline",
   "zh": "ALOHA Leader-Follower 示范遥操作管线",
   "level": "l3"
  },
  "CAP_cfc9c414": {
   "en": "ALOHA Hardware Setup and Calibration",
   "zh": "ALOHA 硬件组装与标定",
   "level": "l3"
  },
  "CAP_8b8f804d": {
   "en": "Bimanual ALOHA Cutting Imitation Pipeline",
   "zh": "ALOHA 双臂切割模仿学习管线",
   "level": "l3"
  },
  "CAP_df0b2af6dc": {
   "en": "Multi-View Image and Joint Observation Tokenization",
   "zh": "多视角图像与关节观测 token 化",
   "level": "l3"
  },
  "CAP_8758a9f7": {
   "en": "One-Class Deep Boundary Anomaly Detection",
   "zh": "单类深度边界异常检测",
   "level": "l2"
  },
  "CAP_01355542": {
   "en": "Deep SVDD Robot Anomaly Detection",
   "zh": "Deep SVDD 机器人异常检测",
   "level": "l2"
  },
  "CAP_ff0d9c58": {
   "en": "Deep SVDD Encoder Configuration",
   "zh": "Deep SVDD encoder 配置",
   "level": "l3"
  },
  "CAP_28ba3828": {
   "en": "AE Pretraining for Warm Start",
   "zh": "AE 预训练热启动",
   "level": "l3"
  },
  "CAP_d572bafd": {
   "en": "Hypersphere Distance Scoring",
   "zh": "超球距离异常评分",
   "level": "l3"
  },
  "CAP_0fbf1202": {
   "en": "Deep SVDD Training",
   "zh": "Deep SVDD 训练",
   "level": "l3"
  },
  "CAP_2e200ce3": {
   "en": "Reconstruction Residual Scoring",
   "zh": "重构残差评分",
   "level": "l3"
  },
  "CAP_c04d8f37": {
   "en": "Robot Anomaly Detection AUROC Benchmark",
   "zh": "机器人异常检测 AUROC 基准评测",
   "level": "l3"
  },
  "CAP_4e8b1d77": {
   "en": "Reconstruction-Based Multimodal Robot Anomaly Detection",
   "zh": "重构式多模态机器人异常检测",
   "level": "l3"
  },
  "CAP_5d360a375a": {
   "en": "Robot End-Effector Camera Surface Defect Detection",
   "zh": "机器人末端相机表面缺陷检测部署",
   "level": "l3"
  },
  "CAP_c8e48fd3": {
   "en": "ROS2 Workspace Assembly",
   "zh": "ROS2 工作空间拼装",
   "level": "l2"
  },
  "CAP_1c01fbe8": {
   "en": "Repos Workspace Assembly",
   "zh": ".repos 工作空间拼装",
   "level": "l3"
  },
  "CAP_f13588f9": {
   "en": "Rosdep System Dependency Resolution",
   "zh": "rosdep 系统依赖解析",
   "level": "l3"
  },
  "CAP_d6a54b3c": {
   "en": "Colcon Build Orchestration",
   "zh": "colcon 构建编排",
   "level": "l2"
  },
  "CAP_b9234699": {
   "en": "Colcon Package Dependency DAG",
   "zh": "colcon 包依赖 DAG 构建",
   "level": "l3"
  },
  "CAP_fc407730": {
   "en": "Colcon Parallel Build Execution",
   "zh": "colcon 并行构建执行",
   "level": "l3"
  },
  "CAP_d20b136d": {
   "en": "Install Tree Aggregation",
   "zh": "安装树聚合",
   "level": "l3"
  },
  "CAP_1162bce5": {
   "en": "Bazel Tooling and Dependency Setup",
   "zh": "Bazel 工具与依赖准备",
   "level": "l2"
  },
  "CAP_5642512e": {
   "en": "Bazel Version Pinning",
   "zh": "Bazel 版本锁定",
   "level": "l3"
  },
  "CAP_71af2a8c": {
   "en": "Bzlmod Dependency Resolution",
   "zh": "bzlmod 依赖解析",
   "level": "l3"
  },
  "CAP_d98174e2": {
   "en": "Bazel Action and Cache",
   "zh": "Bazel 动作图与缓存",
   "level": "l2"
  },
  "CAP_c962a4db": {
   "en": "Bazel Action Graph Computation",
   "zh": "Bazel 动作图计算",
   "level": "l3"
  },
  "CAP_7cf34152": {
   "en": "REAPI Remote Cache Lookup",
   "zh": "REAPI 远程缓存查询",
   "level": "l3"
  },
  "CAP_6f085438": {
   "en": "Bazel Remote Execution and Output",
   "zh": "Bazel 远程执行与输出",
   "level": "l2"
  },
  "CAP_dff38bf6": {
   "en": "REAPI Remote Execution Dispatch",
   "zh": "REAPI 远程执行分发",
   "level": "l3"
  },
  "CAP_2f58761f": {
   "en": "Bazel Output Tree Assembly",
   "zh": "Bazel 输出树组装",
   "level": "l3"
  },
  "CAP_28534cfe": {
   "en": "Cross Compile Matrix Setup",
   "zh": "交叉编译矩阵准备",
   "level": "l2"
  },
  "CAP_862b3106": {
   "en": "Architecture Matrix Fan-Out",
   "zh": "架构矩阵 fan-out",
   "level": "l3"
  },
  "CAP_f952f27a": {
   "en": "Toolchain Image Pull",
   "zh": "工具链镜像拉取",
   "level": "l3"
  },
  "CAP_9577cdab": {
   "en": "Containerized Cross Build",
   "zh": "容器内交叉构建",
   "level": "l2"
  },
  "CAP_6ec373ff": {
   "en": "CMake Cross Toolchain Configuration",
   "zh": "CMake 交叉工具链配置",
   "level": "l3"
  },
  "CAP_53ce00b8": {
   "en": "Ninja Cross Build Execution",
   "zh": "Ninja 交叉构建执行",
   "level": "l3"
  },
  "CAP_0bd62987": {
   "en": "Per-Arch Artifact Archive",
   "zh": "按架构产物归档",
   "level": "l3"
  },
  "CAP_72359d3e": {
   "en": "Container Image-Based Robot Deployment",
   "zh": "容器镜像机器人部署",
   "level": "l2"
  },
  "CAP_a80824cb": {
   "en": "Multi-Arch OCI Image Build",
   "zh": "多架构 OCI 镜像构建",
   "level": "l3"
  },
  "CAP_6f20a9c5": {
   "en": "Container Registry Pull",
   "zh": "容器镜像仓库拉取",
   "level": "l3"
  },
  "CAP_ea355d99": {
   "en": "Privileged Container Host Device Access",
   "zh": "特权容器宿主设备访问",
   "level": "l3"
  },
  "CAP_4b4b311d": {
   "en": "Docker Compose Multi-Service Orchestration",
   "zh": "Docker Compose 多服务编排",
   "level": "l3"
  },
  "CAP_b40ec493": {
   "en": "Image Tag Version Management and Rollback",
   "zh": "镜像 Tag 版本管理与回滚",
   "level": "l3"
  },
  "CAP_57a77cd5": {
   "en": "Container Healthcheck Auto-Heal",
   "zh": "容器健康检查自愈",
   "level": "l3"
  },
  "CAP_629df895": {
   "en": "Atomic AB Rootfs OTA Deployment",
   "zh": "原子 A/B Rootfs OTA 部署",
   "level": "l2"
  },
  "CAP_45906788": {
   "en": "Yocto Rootfs Artifact Build",
   "zh": "Yocto Rootfs 工件构建",
   "level": "l3"
  },
  "CAP_7ed58d5a": {
   "en": "Bundle/Artifact Signing and Verification",
   "zh": "Bundle/Artifact 签名与验签",
   "level": "l3"
  },
  "CAP_ffbc3f97": {
   "en": "OTA Deployment State Machine",
   "zh": "OTA 部署状态机",
   "level": "l3"
  },
  "CAP_0b678267": {
   "en": "ROS2 Native Application-Layer Deployment",
   "zh": "ROS2 原生应用层部署",
   "level": "l2"
  },
  "CAP_61537f52": {
   "en": "ROS2 Package Release to Apt",
   "zh": "ROS2 包发布到 Apt 仓库",
   "level": "l3"
  },
  "CAP_8e0e20ef": {
   "en": "ROS2 Launch Orchestration",
   "zh": "ROS2 Launch 多节点编排",
   "level": "l3"
  },
  "CAP_9c21e4a3": {
   "en": "Composable Nodes Intra-Process Communication",
   "zh": "Composable Nodes 进程内零拷贝通信",
   "level": "l3"
  },
  "CAP_ba1c7563": {
   "en": "Lifecycle Node State Machine",
   "zh": "Lifecycle 受管节点状态机",
   "level": "l3"
  },
  "CAP_9c56a889": {
   "en": "Lifecycle Manager Supervision",
   "zh": "Lifecycle Manager 监督调度",
   "level": "l3"
  },
  "CAP_7276bb94": {
   "en": "Systemd Service Autostart",
   "zh": "Systemd 服务开机自启",
   "level": "l3"
  },
  "CAP_169ee9cb": {
   "en": "Declarative Reproducible Deployment",
   "zh": "声明式可复现部署",
   "level": "l2"
  },
  "CAP_557615d6": {
   "en": "Nix Expression Authoring",
   "zh": "Nix Expression 编写",
   "level": "l3"
  },
  "CAP_6dffb548": {
   "en": "Nix Deterministic Build",
   "zh": "Nix 确定性构建",
   "level": "l3"
  },
  "CAP_290b2268": {
   "en": "Nix Closure Computation",
   "zh": "Nix 闭包计算",
   "level": "l3"
  },
  "CAP_598d70f6": {
   "en": "Nix Closure Remote Distribution",
   "zh": "Nix 闭包远程分发",
   "level": "l3"
  },
  "CAP_b11eb4f4": {
   "en": "NixOS Module System Configuration",
   "zh": "NixOS Module System 声明式配置",
   "level": "l3"
  },
  "CAP_c7803678": {
   "en": "NixOS Generation Atomic Activation",
   "zh": "NixOS Generation 原子激活",
   "level": "l3"
  },
  "CAP_77081abc": {
   "en": "NixOS Remote Deployment",
   "zh": "NixOS 远程部署 (deploy-rs)",
   "level": "l3"
  },
  "CAP_011e14a4": {
   "en": "NixOS Embedded Image Generation",
   "zh": "NixOS 嵌入式镜像生成",
   "level": "l3"
  },
  "CAP_273fbb4a": {
   "en": "SLAM Pose Graph Quality Assessment",
   "zh": "SLAM位姿图质量评估",
   "level": "l2"
  },
  "CAP_c5f015b6": {
   "en": "Ground Truth Relation Autogeneration",
   "zh": "Ground Truth关系自动生成",
   "level": "l3"
  },
  "CAP_b36f8add": {
   "en": "Loop Closure Residual Evaluation",
   "zh": "回环约束残差评估",
   "level": "l3"
  },
  "CAP_66db20fc": {
   "en": "SLAM Quality Report Export",
   "zh": "SLAM质量报告导出",
   "level": "l3"
  },
  "CAP_dcc4fd19": {
   "en": "Trajectory Error Visualization",
   "zh": "轨迹误差可视化",
   "level": "l3"
  },
  "CAP_c4b1cb67": {
   "en": "Point Cloud Map Deviation Heatmap Reporting",
   "zh": "点云地图偏差热力图报告",
   "level": "l2"
  },
  "CAP_381bea67": {
   "en": "C2C Distance Computation",
   "zh": "C2C 云到云距离计算",
   "level": "l3"
  },
  "CAP_0074d09a": {
   "en": "C2M Distance Computation",
   "zh": "C2M 云到网格距离计算",
   "level": "l3"
  },
  "CAP_ef475dde": {
   "en": "M3C2 Distance Computation",
   "zh": "M3C2 多尺度模型比较距离计算",
   "level": "l3"
  },
  "CAP_adf86972": {
   "en": "Deviation Statistics Aggregation",
   "zh": "偏差统计聚合",
   "level": "l3"
  },
  "CAP_e988c5a2": {
   "en": "Deviation Heatmap Visualization",
   "zh": "偏差热力图可视化",
   "level": "l3"
  },
  "CAP_c959d6a1": {
   "en": "Distance Scalar Field Export",
   "zh": "距离标量场导出",
   "level": "l3"
  },
  "CAP_5fa9f98e": {
   "en": "Point Cloud ICP Scan Matching",
   "zh": "点云ICP扫描匹配",
   "level": "l3"
  },
  "CAP_c999c1af": {
   "en": "HD Map Loading and Parsing",
   "zh": "高精地图加载与解析",
   "level": "l2"
  },
  "CAP_6fb42142": {
   "en": "Validator Initialization",
   "zh": "校验器初始化",
   "level": "l3"
  },
  "CAP_1c75d6e8": {
   "en": "HD Map Rule Validation",
   "zh": "高精地图规则校验",
   "level": "l2"
  },
  "CAP_8ff4a4f8": {
   "en": "Map Primitive Validation",
   "zh": "地图原语校验",
   "level": "l3"
  },
  "CAP_7201b5f8": {
   "en": "Traffic Rule Validation",
   "zh": "交通规则校验",
   "level": "l3"
  },
  "CAP_9a38bfea": {
   "en": "Routing Graph Validation",
   "zh": "路由图校验",
   "level": "l3"
  },
  "CAP_65458034": {
   "en": "Point Cloud Data Loading",
   "zh": "点云数据加载",
   "level": "l3"
  },
  "CAP_38c3fb63": {
   "en": "Validation Issue Report Emission",
   "zh": "校验报告输出",
   "level": "l3"
  },
  "CAP_487e1c2f": {
   "en": "Golden Template Subtraction AOI",
   "zh": "金样模板减法自动光学检测",
   "level": "l2"
  },
  "CAP_11d8ac68": {
   "en": "Golden Template Construction",
   "zh": "良品统计模板构造",
   "level": "l3"
  },
  "CAP_6b8f0cef": {
   "en": "AOI Image Capture and Calibration",
   "zh": "AOI 图像采集与畸变矫正",
   "level": "l3"
  },
  "CAP_e734bf08": {
   "en": "Subpixel Image Registration",
   "zh": "亚像素图像配准",
   "level": "l3"
  },
  "CAP_2143ce13": {
   "en": "Variation Model Difference",
   "zh": "变分模型差分",
   "level": "l3"
  },
  "CAP_49a4132b": {
   "en": "Defect Mask Segmentation",
   "zh": "缺陷掩码分割",
   "level": "l3"
  },
  "CAP_5cc8517f": {
   "en": "Defect Filtering and Pass Fail Decision",
   "zh": "缺陷过滤与工位判定",
   "level": "l3"
  },
  "CAP_0c7d728e": {
   "en": "Classical Blob Morphology AOI",
   "zh": "经典 Blob 与形态学规则检测",
   "level": "l2"
  },
  "CAP_f480b5c9": {
   "en": "Background Equalization and Denoise",
   "zh": "背景均匀化与降噪",
   "level": "l3"
  },
  "CAP_81f8b353": {
   "en": "Adaptive Binarization",
   "zh": "自适应二值化",
   "level": "l3"
  },
  "CAP_45badfa0": {
   "en": "Morphological Refinement",
   "zh": "形态学精修",
   "level": "l3"
  },
  "CAP_558e07d2": {
   "en": "Connected Component Feature Extraction",
   "zh": "连通域与特征提取",
   "level": "l3"
  },
  "CAP_3c8d0234": {
   "en": "Rule Based Filtering and Decision",
   "zh": "规则过滤与工位判定",
   "level": "l3"
  },
  "CAP_5c543cbe": {
   "en": "Supervised Deep Learning Defect Detection AOI",
   "zh": "监督深度学习缺陷检测 AOI",
   "level": "l2"
  },
  "CAP_b07a6334": {
   "en": "Defect Sample Collection",
   "zh": "缺陷样本采集",
   "level": "l3"
  },
  "CAP_43aed106": {
   "en": "Defect Annotation",
   "zh": "缺陷标注",
   "level": "l3"
  },
  "CAP_96094f1e": {
   "en": "Dataset Preparation",
   "zh": "数据集划分与均衡",
   "level": "l3"
  },
  "CAP_041bc566": {
   "en": "Supervised Model Training",
   "zh": "监督模型训练",
   "level": "l3"
  },
  "CAP_65b26da3": {
   "en": "Model Export and Deployment",
   "zh": "模型导出与部署",
   "level": "l3"
  },
  "CAP_4cff548b": {
   "en": "Online Inference Decision",
   "zh": "在线推理与判定",
   "level": "l3"
  },
  "CAP_3258d19c": {
   "en": "ROS 2 Test Pipeline Orchestration",
   "zh": "ROS 2 测试管线编排",
   "level": "l2"
  },
  "CAP_bd4376d6": {
   "en": "Colcon Test Orchestration",
   "zh": "Colcon 测试编排",
   "level": "l3"
  },
  "CAP_5ea6838d": {
   "en": "Test Result Aggregation and Upload",
   "zh": "测试结果聚合与上报",
   "level": "l3"
  },
  "CAP_2952a2b2": {
   "en": "Advanced ROS 2 CI Checks",
   "zh": "ROS 2 进阶 CI 检查",
   "level": "l3"
  },
  "CAP_fb0a5586": {
   "en": "Ament Lint Auto Execution",
   "zh": "Ament Lint 套件执行",
   "level": "l3"
  },
  "CAP_d855afee": {
   "en": "Ament Gtest Execution",
   "zh": "Ament Gtest 单元测试执行",
   "level": "l3"
  },
  "CAP_f4ab37e1": {
   "en": "Ament Pytest Execution",
   "zh": "Ament Pytest 单元测试执行",
   "level": "l3"
  },
  "CAP_9b5da2ae": {
   "en": "Launch Testing Integration Test",
   "zh": "Launch Testing 集成测试",
   "level": "l3"
  },
  "CAP_bd28be2b": {
   "en": "PX4 SITL Test Pipeline Orchestration",
   "zh": "PX4 SITL 测试管线编排",
   "level": "l2"
  },
  "CAP_80410e8c": {
   "en": "PX4 SITL Container Setup",
   "zh": "PX4 SITL 容器准备",
   "level": "l3"
  },
  "CAP_a2333f4a": {
   "en": "PX4 SITL Firmware and Test Build",
   "zh": "PX4 SITL 固件与测试编译",
   "level": "l3"
  },
  "CAP_531e6152": {
   "en": "MAVSDK SITL Test Execution",
   "zh": "MAVSDK SITL 测试执行",
   "level": "l3"
  },
  "CAP_6c8e010d": {
   "en": "PX4 SITL Failure Diagnostics",
   "zh": "PX4 SITL 失败诊断",
   "level": "l3"
  },
  "CAP_bc03dd0b": {
   "en": "PX4 Coverage and Sanitizers",
   "zh": "PX4 覆盖率与 Sanitizers",
   "level": "l3"
  },
  "CAP_0d9e361f": {
   "en": "PX4 Unit Test Build and Run",
   "zh": "PX4 单元测试编译与运行",
   "level": "l3"
  },
  "CAP_b8b49797": {
   "en": "HIL Bench Cluster CI Orchestration",
   "zh": "HIL 台架集群 CI 编排",
   "level": "l2"
  },
  "CAP_86671d00": {
   "en": "HIL Task Scheduling and Resource Allocation",
   "zh": "HIL 任务调度与资源分配",
   "level": "l3"
  },
  "CAP_66a1ca5e": {
   "en": "HIL Software Package Distribution",
   "zh": "HIL 软件包分发",
   "level": "l3"
  },
  "CAP_51dcbb25": {
   "en": "HIL Test Execution",
   "zh": "HIL 测试执行",
   "level": "l3"
  },
  "CAP_40aefe17": {
   "en": "HIL Failure Diagnostics and Regression",
   "zh": "HIL 失败诊断与回归",
   "level": "l3"
  },
  "CAP_7f4ba0f2": {
   "en": "HIL Real-Time Simulation",
   "zh": "HIL 实时仿真",
   "level": "l3"
  },
  "CAP_a932d454": {
   "en": "HIL Test Sequence Editing",
   "zh": "HIL 测试序列编辑",
   "level": "l3"
  },
  "CAP_9dbb259c": {
   "en": "Reverse Start-State Expansion",
   "zh": "起态反向扩张",
   "level": "l2"
  },
  "CAP_04a35461": {
   "en": "Goal-State Seeding for Reverse Curriculum",
   "zh": "反向课程目标状态种子获取",
   "level": "l3"
  },
  "CAP_f6ce95f6": {
   "en": "Random-Walk Start-State Expansion",
   "zh": "随机游走起态扩张",
   "level": "l3"
  },
  "CAP_0488dafc": {
   "en": "Goal-Reaching Policy Training with Sparse Reward",
   "zh": "稀疏奖励目标导向策略训练",
   "level": "l2"
  },
  "CAP_629c8e6c": {
   "en": "Per-Start-State Success Rate Estimation",
   "zh": "每起态成功率估计",
   "level": "l3"
  },
  "CAP_db57175b": {
   "en": "Success-Rate-Gated Curriculum Iteration",
   "zh": "成功率门控课程迭代",
   "level": "l2"
  },
  "CAP_d82e49bc": {
   "en": "Curriculum Convergence Check",
   "zh": "课程收敛检查",
   "level": "l3"
  },
  "CAP_58eb90db": {
   "en": "Difficulty Parameter Space Design",
   "zh": "难度参数空间设计",
   "level": "l2"
  },
  "CAP_2318c65d": {
   "en": "Parameterized Difficulty Grid Construction",
   "zh": "参数化难度网格构建",
   "level": "l3"
  },
  "CAP_faa8d3fb": {
   "en": "Parallel Policy Training on Difficulty Grid",
   "zh": "难度网格并行策略训练",
   "level": "l2"
  },
  "CAP_0393bc58": {
   "en": "Per-Instance Performance Quantile Computation",
   "zh": "每实例性能分位数计算",
   "level": "l3"
  },
  "CAP_8e282f7d": {
   "en": "Threshold-Gated Difficulty Update",
   "zh": "阈值门控难度更新",
   "level": "l2"
  },
  "CAP_3f32e269": {
   "en": "Threshold-Gated Difficulty Level Update",
   "zh": "阈值门控难度档位更新",
   "level": "l3"
  },
  "CAP_5bc0ae6c": {
   "en": "LLM Scene and Supervision Code Generation",
   "zh": "LLM 场景与监督代码生成",
   "level": "l3"
  },
  "CAP_e2f208d2": {
   "en": "Progress-Feedback-Driven Task Iteration",
   "zh": "进度反馈驱动任务迭代",
   "level": "l3"
  },
  "CAP_31f8552f": {
   "en": "RMW Implementation Selection",
   "zh": "RMW中间件实现选择",
   "level": "l3"
  },
  "CAP_15958d87": {
   "en": "DDS Domain and Discovery Range Configuration",
   "zh": "DDS域与发现范围配置",
   "level": "l3"
  },
  "CAP_f554be04": {
   "en": "Initial Peers Unicast Configuration",
   "zh": "初始对等体单播配置",
   "level": "l3"
  },
  "CAP_4c0395e0": {
   "en": "SPDP SEDP Endpoint Matching",
   "zh": "SPDP/SEDP端点匹配",
   "level": "l3"
  },
  "CAP_93084868": {
   "en": "Fast DDS Discovery Server Centralized Discovery",
   "zh": "Fast DDS发现服务器集中式发现",
   "level": "l2"
  },
  "CAP_445ee393": {
   "en": "Discovery Server Process Deployment",
   "zh": "发现服务器进程部署",
   "level": "l3"
  },
  "CAP_a13d42f2": {
   "en": "Discovery Server Redundancy and Backup",
   "zh": "发现服务器冗余与备份",
   "level": "l3"
  },
  "CAP_0a22fc09": {
   "en": "Discovery Client Configuration",
   "zh": "发现客户端配置",
   "level": "l3"
  },
  "CAP_e53016f6": {
   "en": "Topic-based Discovery Filtering",
   "zh": "基于主题的发现过滤",
   "level": "l3"
  },
  "CAP_cc9b94d1": {
   "en": "DDS Router Cross-Network Discovery Relay",
   "zh": "DDS路由器跨网发现中继",
   "level": "l2"
  },
  "CAP_5ed25282": {
   "en": "DDS Router YAML Configuration",
   "zh": "DDS路由器YAML配置",
   "level": "l3"
  },
  "CAP_b70f3e0e": {
   "en": "DDS Router WAN TCP Deployment",
   "zh": "DDS路由器WAN TCP部署",
   "level": "l3"
  },
  "CAP_3ee145cc": {
   "en": "Topic Allowlist and Dynamic Discovery",
   "zh": "主题白名单与动态发现",
   "level": "l3"
  },
  "CAP_af6d37e8": {
   "en": "Zero-copy Data Forwarding",
   "zh": "零拷贝数据转发",
   "level": "l3"
  },
  "CAP_d2b500e8": {
   "en": "DDS Discovery and Link Monitoring",
   "zh": "DDS发现与链路监控",
   "level": "l2"
  },
  "CAP_7bc63779": {
   "en": "DDS Participant Liveliness Tracking",
   "zh": "DDS参与者活跃度追踪",
   "level": "l3"
  },
  "CAP_ae5d1549": {
   "en": "Discovery Completeness Check",
   "zh": "发现完整性检查",
   "level": "l3"
  },
  "CAP_800437b8": {
   "en": "Discovery Mode Switching",
   "zh": "发现模式切换",
   "level": "l3"
  },
  "CAP_1329a10f": {
   "en": "Domain Randomization Parameter Space Definition",
   "zh": "域随机化参数空间定义",
   "level": "l3"
  },
  "CAP_743b9400": {
   "en": "Randomization Distribution Configuration",
   "zh": "随机化分布配置",
   "level": "l3"
  },
  "CAP_53fb4bec": {
   "en": "DR Parameter Application to Environment",
   "zh": "域随机化参数环境应用",
   "level": "l3"
  },
  "CAP_57f9925b": {
   "en": "DR Generalization Test",
   "zh": "域随机化泛化测试",
   "level": "l3"
  },
  "CAP_3d06e98c": {
   "en": "ADR Threshold Expansion",
   "zh": "ADR 性能阈值扩界",
   "level": "l2"
  },
  "CAP_61c28126": {
   "en": "Real-Data-Driven DR Inference",
   "zh": "真实数据驱动 DR 推断",
   "level": "l2"
  },
  "CAP_f1277a83": {
   "en": "Active DR Generator",
   "zh": "Active DR 生成器对抗",
   "level": "l2"
  },
  "CAP_c109f094": {
   "en": "ADR Boundary Sampler",
   "zh": "ADR 边界采样器",
   "level": "l3"
  },
  "CAP_3812c2e5": {
   "en": "ADR Threshold Expander",
   "zh": "ADR 性能阈值扩张器",
   "level": "l3"
  },
  "CAP_85dc7ebf": {
   "en": "ADR Entropy Meter",
   "zh": "ADR 熵度量器",
   "level": "l3"
  },
  "CAP_a37c1363": {
   "en": "ADR Worker Scheduler",
   "zh": "ADR 分布式 worker 调度器",
   "level": "l3"
  },
  "CAP_1c6f7479": {
   "en": "Real2Sim Likelihood Builder",
   "zh": "真机仿真似然函数构建器",
   "level": "l3"
  },
  "CAP_58edbdaf": {
   "en": "DR Posterior Inferer",
   "zh": "DR 参数后验推断器",
   "level": "l3"
  },
  "CAP_7ebca056": {
   "en": "DR Online Posterior Updater",
   "zh": "DR 在线后验更新器",
   "level": "l3"
  },
  "CAP_8384090a": {
   "en": "DR Generator Sampler",
   "zh": "DR 生成器采样器",
   "level": "l3"
  },
  "CAP_ec590c71": {
   "en": "DR Generator Reward Builder",
   "zh": "DR 生成器奖励构建器",
   "level": "l3"
  },
  "CAP_24da5623": {
   "en": "DR Generator Trainer",
   "zh": "DR 生成器训练器",
   "level": "l3"
  },
  "CAP_eb8b0372": {
   "en": "DR Adversarial Co-Trainer",
   "zh": "DR 对抗式协同训练器",
   "level": "l3"
  },
  "CAP_6fb42d48": {
   "en": "Hybrid HMM-DNN ASR Pipeline",
   "zh": "混合 HMM-DNN 语音识别流水线",
   "level": "l2"
  },
  "CAP_3ad85299": {
   "en": "Kaldi Data Directory Preparation",
   "zh": "Kaldi 数据目录准备",
   "level": "l3"
  },
  "CAP_0b470c82": {
   "en": "Lexicon and Lang Directory Preparation",
   "zh": "发音词典与 lang 目录生成",
   "level": "l3"
  },
  "CAP_74aab9a0": {
   "en": "N-gram Language Model Training",
   "zh": "n-gram 语言模型训练与 G.fst 转换",
   "level": "l3"
  },
  "CAP_6f9799b8": {
   "en": "iVector Speaker Adaptation Extraction",
   "zh": "iVector 说话人自适应提取",
   "level": "l3"
  },
  "CAP_09638ca4": {
   "en": "TDNN-F Acoustic Model with LF-MMI Training",
   "zh": "TDNN-F 声学模型 LF-MMI 训练",
   "level": "l3"
  },
  "CAP_22976dec": {
   "en": "WFST HCLG Decoding Graph Compilation",
   "zh": "WFST HCLG 解码图编译",
   "level": "l3"
  },
  "CAP_9bdb2d73": {
   "en": "LatticeFasterDecoder Viterbi Decoding",
   "zh": "LatticeFasterDecoder Viterbi 格解码",
   "level": "l3"
  },
  "CAP_64b3a9c5": {
   "en": "Lattice Post-processing and Text Output",
   "zh": "词格后处理与文本输出",
   "level": "l3"
  },
  "CAP_79c1366b": {
   "en": "End-to-End Attention ASR Pipeline",
   "zh": "端到端注意力编解码器语音识别流水线",
   "level": "l2"
  },
  "CAP_67f4346f": {
   "en": "30s Window Segmentation",
   "zh": "30s 滑窗切分",
   "level": "l3"
  },
  "CAP_d772446e": {
   "en": "Whisper Model Loading and Multitask Token Injection",
   "zh": "Whisper 模型加载与多任务 token 注入",
   "level": "l3"
  },
  "CAP_0190d01a": {
   "en": "Encoder-Decoder Transformer Inference",
   "zh": "编解码器 Transformer 推理",
   "level": "l3"
  },
  "CAP_6c33a7ce": {
   "en": "Sliding Window Inference and Timestamp Output",
   "zh": "滑窗推理与时间戳输出",
   "level": "l3"
  },
  "CAP_558c18ab": {
   "en": "Streaming RNN-T/TDT ASR Pipeline",
   "zh": "流式 RNN-T/TDT 转导器语音识别流水线",
   "level": "l2"
  },
  "CAP_64451825": {
   "en": "Streaming Audio Chunking and Resampling",
   "zh": "流式音频分块与重采样",
   "level": "l3"
  },
  "CAP_044086a8": {
   "en": "FastConformer Streaming Encoder",
   "zh": "FastConformer 流式编码器",
   "level": "l3"
  },
  "CAP_814f49df": {
   "en": "Prediction Network Inference",
   "zh": "Prediction Network 推理",
   "level": "l3"
  },
  "CAP_8c434215": {
   "en": "Joint Network and RNN-T/TDT Decoding",
   "zh": "Joint Network 与 RNN-T/TDT 解码",
   "level": "l3"
  },
  "CAP_91ee792a": {
   "en": "BPE Token Decoding and Streaming Output",
   "zh": "BPE token 解码与流式输出",
   "level": "l3"
  },
  "CAP_88313bf3": {
   "en": "Wheeled AMR Return-to-Dock Energy Trigger",
   "zh": "轮式 AMR 返坞能量触发",
   "level": "l2"
  },
  "CAP_c80f6523": {
   "en": "Nav2 SLAM Return Navigation to Staging Pose",
   "zh": "Nav2 SLAM 返航到 Staging Pose",
   "level": "l2"
  },
  "CAP_714396a4": {
   "en": "IR Beacon Dock Servo and Charging Coupling",
   "zh": "IR Beacon 对接伺服与充电耦合",
   "level": "l2"
  },
  "CAP_0c747954": {
   "en": "AUV Mission Energy Budget and Return Trigger",
   "zh": "AUV 任务能量预算与返坞触发",
   "level": "l3"
  },
  "CAP_00d70dc0": {
   "en": "INS-DVL Return Navigation and Acoustic Homing",
   "zh": "INS-DVL 惯性返航与声学引导",
   "level": "l2"
  },
  "CAP_6d0ad8a5": {
   "en": "Funnel Capture Docking and Subsea Resident Charging",
   "zh": "漏斗捕获对接与海底常驻充电",
   "level": "l2"
  },
  "CAP_4009e9e2": {
   "en": "Quadruped Return-to-Dock Energy Trigger",
   "zh": "四足机器人返坞能量触发",
   "level": "l3"
  },
  "CAP_7423fa0f": {
   "en": "Spot Visual-Inertial SLAM Return Navigation",
   "zh": "Spot 视觉惯性 SLAM 返航导航",
   "level": "l2"
  },
  "CAP_a85eb797": {
   "en": "Dock Visual Recognition and Arm-Mediated Charging Coupling",
   "zh": "对接坞视觉识别与机械臂介导充电耦合",
   "level": "l2"
  },
  "CAP_708e5bd9": {
   "en": "Battery State Acquisition",
   "zh": "电池状态采集",
   "level": "l3"
  },
  "CAP_02a0eeba": {
   "en": "SOC Estimation with Load Compensation",
   "zh": "带负载补偿的 SoC 估算",
   "level": "l3"
  },
  "CAP_f1b469e7": {
   "en": "Energy Budget and Endurance Estimation",
   "zh": "能量预算与续航估算",
   "level": "l3"
  },
  "CAP_4b2b5238": {
   "en": "AMCL Localization and Costmap Maintenance",
   "zh": "AMCL 定位与 Costmap 维护",
   "level": "l3"
  },
  "CAP_e8582744": {
   "en": "IR Beacon Homing Dock Servo Engagement",
   "zh": "IR Beacon 归航对接伺服",
   "level": "l3"
  },
  "CAP_c3db3c3c": {
   "en": "Contact Charging Coupling and State Monitoring",
   "zh": "触点充电耦合与状态监控",
   "level": "l3"
  },
  "CAP_3aa95238": {
   "en": "Undocking and Mission Resumption",
   "zh": "脱开充电与任务恢复",
   "level": "l3"
  },
  "CAP_646a086d": {
   "en": "Through-Water Communication Assisted Final Approach",
   "zh": "水下通信辅助最终趋近",
   "level": "l3"
  },
  "CAP_8d5649ab": {
   "en": "Underwater Station-Keeping",
   "zh": "水下定点保持",
   "level": "l3"
  },
  "CAP_22544251": {
   "en": "AUV Thrust Allocation And Control",
   "zh": "AUV 推力分配与控制",
   "level": "l3"
  },
  "CAP_93a1ed52": {
   "en": "Subsea Docking Station Deployment and Commissioning",
   "zh": "海底对接坞部署与通信链路建立",
   "level": "l3"
  },
  "CAP_cdc4766c": {
   "en": "Funnel Capture Docking Mechanism",
   "zh": "漏斗捕获对接机构",
   "level": "l3"
  },
  "CAP_27dec686": {
   "en": "Wet-Mate Connector Charging Coupling",
   "zh": "Wet-Mate 连接器充电耦合",
   "level": "l3"
  },
  "CAP_a235fc39": {
   "en": "Subsea Resident Long-Term Mooring",
   "zh": "海底常驻长期系泊",
   "level": "l3"
  },
  "CAP_0e415b91": {
   "en": "Visual Inertial Odometry State Estimation",
   "zh": "视觉惯性里程计状态估计",
   "level": "l3"
  },
  "CAP_56cecb0e": {
   "en": "State Estimation for Legged Robots",
   "zh": "腿式机器人状态估计",
   "level": "l3"
  },
  "CAP_4d83c6b6": {
   "en": "Dock Visual Fiducial Recognition and Pose Estimation",
   "zh": "对接坞视觉标记识别与位姿估计",
   "level": "l3"
  },
  "CAP_66125ad9": {
   "en": "Spot Arm Grasping and Alignment",
   "zh": "Spot Arm 抓取与对准",
   "level": "l3"
  },
  "CAP_b1d5a986": {
   "en": "Charging Connector Insertion and Coupling Establishment",
   "zh": "充电连接器插入与耦合建立",
   "level": "l3"
  },
  "CAP_ef4fcb74": {
   "en": "Scene-Driven Task Proposal",
   "zh": "场景驱动任务提议",
   "level": "l2"
  },
  "CAP_36fc60dc": {
   "en": "VLM Scene Description Generation",
   "zh": "VLM 场景描述生成",
   "level": "l3"
  },
  "CAP_cee3f382": {
   "en": "Autonomous Task Initiation Decision",
   "zh": "自主任务发起决策",
   "level": "l3"
  },
  "CAP_3df61cf8": {
   "en": "Affordance Grounding for Task Initiation",
   "zh": "任务发起可供性 grounding",
   "level": "l2"
  },
  "CAP_7e7b684a": {
   "en": "Task Decomposition and Execution",
   "zh": "任务分解与执行",
   "level": "l2"
  },
  "CAP_e3330f1a": {
   "en": "Feedback and Re-initiation",
   "zh": "反馈与重新发起",
   "level": "l2"
  },
  "CAP_239b6773": {
   "en": "Affordance Knowledge-Driven Task Initiation",
   "zh": "可供性知识驱动任务发起",
   "level": "l2"
  },
  "CAP_58fbb4f2": {
   "en": "Affordance-Driven Action Opportunity Detection",
   "zh": "可供性驱动动作机会检测",
   "level": "l3"
  },
  "CAP_f41cccdc": {
   "en": "Affordance Task Execution and Monitoring",
   "zh": "可供性任务执行与监控",
   "level": "l2"
  },
  "CAP_38db2c74": {
   "en": "Goal-State Monitoring for Task Initiation",
   "zh": "任务发起目标状态监控",
   "level": "l2"
  },
  "CAP_45f7fe57": {
   "en": "Desired State Specification",
   "zh": "期望状态规约",
   "level": "l3"
  },
  "CAP_3613cbfd": {
   "en": "Deviation-to-Task Mapping",
   "zh": "偏离到任务映射",
   "level": "l3"
  },
  "CAP_ce8338cc": {
   "en": "LLM Affordance Utility Selection",
   "zh": "LLM Affordance 效用选择",
   "level": "l3"
  },
  "CAP_c41bd66f": {
   "en": "Open-Vocabulary Object Detection (OWL-ViT)",
   "zh": "开放词表物体检测",
   "level": "l3"
  },
  "CAP_fefaae20": {
   "en": "Engine-Native GT Annotator Pipeline",
   "zh": "引擎原生 GT 标注器流水线",
   "level": "l2"
  },
  "CAP_da90b23b": {
   "en": "Semantic Prim Assignment",
   "zh": "语义 Prim 分配",
   "level": "l3"
  },
  "CAP_5b5b7077": {
   "en": "Engine-Native Multi-Channel Rendering",
   "zh": "引擎原生多通道渲染",
   "level": "l3"
  },
  "CAP_04f57439": {
   "en": "Engine AOV Annotator Extraction",
   "zh": "引擎 AOV 标注器抽取",
   "level": "l3"
  },
  "CAP_3e1b9b00": {
   "en": "Engine-Native Writer Serialization",
   "zh": "引擎原生 Writer 序列化",
   "level": "l3"
  },
  "CAP_e87c99c6": {
   "en": "Procedural Synthetic Data Pipeline",
   "zh": "程序化合成数据流水线",
   "level": "l2"
  },
  "CAP_83052030": {
   "en": "Scene Graph Scripted Construction",
   "zh": "场景图脚本化构建",
   "level": "l3"
  },
  "CAP_9d50cd71": {
   "en": "Procedural Multi-Channel Rendering",
   "zh": "程序化多通道渲染",
   "level": "l3"
  },
  "CAP_b31b6dab": {
   "en": "Pass Index Reverse Annotation",
   "zh": "Pass Index 反查标注",
   "level": "l3"
  },
  "CAP_5496a601": {
   "en": "Procedural Writer Serialization",
   "zh": "程序化 Writer 序列化",
   "level": "l3"
  },
  "CAP_af65cc5a": {
   "en": "Mesh-Rasterizer 6D Pose Annotation",
   "zh": "网格光栅化 6D 位姿标注",
   "level": "l2"
  },
  "CAP_f7a6552c": {
   "en": "Mesh and Pose Loading",
   "zh": "Mesh 与位姿加载",
   "level": "l3"
  },
  "CAP_f477d9ef": {
   "en": "Mesh Rasterization Rendering",
   "zh": "网格光栅化渲染",
   "level": "l3"
  },
  "CAP_14bf7c3d": {
   "en": "Instance Mask and Visibility Computation",
   "zh": "实例掩码与可见性计算",
   "level": "l3"
  },
  "CAP_f4911308": {
   "en": "BOP Format Serialization",
   "zh": "BOP 格式序列化",
   "level": "l3"
  },
  "CAP_8179c28b": {
   "en": "Foundation-Model Pseudo-Labeling",
   "zh": "基础模型伪标签自动标注",
   "level": "l2"
  },
  "CAP_e33b661d": {
   "en": "SAM 2 Foundation Model Loading",
   "zh": "SAM 2 基础模型加载",
   "level": "l3"
  },
  "CAP_ca902077": {
   "en": "SAM Automatic Mask Inference",
   "zh": "SAM自动掩码推理",
   "level": "l3"
  },
  "CAP_74eb6180": {
   "en": "Promptable Mask Prediction",
   "zh": "可提示掩码预测",
   "level": "l3"
  },
  "CAP_be5f4313": {
   "en": "Mask Post-processing and Export",
   "zh": "掩码后处理与导出",
   "level": "l3"
  },
  "CAP_692cd46c": {
   "en": "Process Health Monitor",
   "zh": "进程健康监控",
   "level": "l3"
  },
  "CAP_13538127": {
   "en": "Failure Detection & Classification",
   "zh": "故障检测与分类",
   "level": "l3"
  },
  "CAP_e08c1a40": {
   "en": "Recovery Strategy Executor",
   "zh": "恢复策略执行器",
   "level": "l3"
  },
  "CAP_c4990c5e": {
   "en": "Backoff & Escalation Manager",
   "zh": "退避与升级管理器",
   "level": "l3"
  },
  "CAP_f48748a6": {
   "en": "Lifecycle State Machine Controller",
   "zh": "生命周期状态机控制器",
   "level": "l3"
  },
  "CAP_d318b7ea": {
   "en": "Error Recovery Callback Handler",
   "zh": "错误恢复回调处理器",
   "level": "l3"
  },
  "CAP_d89494dd": {
   "en": "Graceful State Reset & Cleanup",
   "zh": "优雅状态重置与清理",
   "level": "l3"
  },
  "CAP_d4b808f9": {
   "en": "Reconfiguration & Reactivation Pipeline",
   "zh": "重配置与重激活管道",
   "level": "l3"
  },
  "CAP_2f433479": {
   "en": "Auto Recovery Trigger",
   "zh": "自动恢复触发",
   "level": "l1"
  },
  "CAP_734ebd8b": {
   "en": "Intelligent Fault Detection & Diagnosis",
   "zh": "智能故障检测与诊断",
   "level": "l2"
  },
  "CAP_91fb7357": {
   "en": "Fault Hypothesis Generation",
   "zh": "故障假设生成",
   "level": "l3"
  },
  "CAP_3fc7986a": {
   "en": "Hypothesis Testing",
   "zh": "假设测试",
   "level": "l3"
  },
  "CAP_a61fdfcf": {
   "en": "Diagnosis Confidence Evaluation",
   "zh": "诊断置信度评估",
   "level": "l3"
  },
  "CAP_32e8fc1d": {
   "en": "LLM-assisted Diagnosis",
   "zh": "LLM辅助诊断",
   "level": "l3"
  },
  "CAP_11b90bfd": {
   "en": "LLM-driven Recovery Planning",
   "zh": "LLM驱动的恢复规划",
   "level": "l2"
  },
  "CAP_6881045a": {
   "en": "Precompiled Recovery Branch Lookup",
   "zh": "预编译恢复分支查找",
   "level": "l3"
  },
  "CAP_21d8bfd1": {
   "en": "Online LLM Re-planning",
   "zh": "在线LLM重规划",
   "level": "l3"
  },
  "CAP_e15ae367": {
   "en": "Recovery Execution",
   "zh": "恢复执行",
   "level": "l2"
  },
  "CAP_f36bc5f7": {
   "en": "Recovery Action Execution",
   "zh": "恢复动作执行",
   "level": "l3"
  },
  "CAP_5aee2974": {
   "en": "Post-Recovery Verification",
   "zh": "恢复后验证",
   "level": "l2"
  },
  "CAP_3bef15f8": {
   "en": "Verification Outcome Evaluation",
   "zh": "验证结果评估",
   "level": "l3"
  },
  "CAP_cc030101": {
   "en": "Multi-modal Data Acquisition",
   "zh": "多模态数据采集",
   "level": "l3"
  },
  "CAP_b1960112": {
   "en": "Fault Event Generation",
   "zh": "故障事件生成",
   "level": "l3"
  },
  "CAP_3ad33ece": {
   "en": "Proactive Fault Anticipation & Recovery Pre-compilation",
   "zh": "主动式故障预防与恢复预编译",
   "level": "l2"
  },
  "CAP_4eb57962": {
   "en": "Failure Mode Prediction",
   "zh": "故障模式预测",
   "level": "l3"
  },
  "CAP_9c7bda93": {
   "en": "Online Monitor Design",
   "zh": "在线监控器设计",
   "level": "l3"
  },
  "CAP_d7edb2eb": {
   "en": "Recovery Branch Compilation",
   "zh": "恢复分支编译",
   "level": "l3"
  },
  "CAP_cead77f7": {
   "en": "Synchronous Symmetric Linear Average Consensus",
   "zh": "同步对称线性平均共识",
   "level": "l2"
  },
  "CAP_be440e71": {
   "en": "Accelerated Average Consensus with Heavy Ball Momentum",
   "zh": "加速平均共识（Heavy-Ball 动量）",
   "level": "l2"
  },
  "CAP_b2338559": {
   "en": "Synchronous Push-Sum on Directed Graphs",
   "zh": "同步有向图 Push-Sum（比值共识）",
   "level": "l2"
  },
  "CAP_7f15fb7a": {
   "en": "Doubly Stochastic Weight Matrix Design",
   "zh": "双随机权重矩阵设计",
   "level": "l3"
  },
  "CAP_cda8b5da": {
   "en": "Synchronous State Initialization",
   "zh": "同步状态初始化",
   "level": "l3"
  },
  "CAP_0b38aa98": {
   "en": "Synchronous Linear Iteration Update",
   "zh": "同步线性迭代更新",
   "level": "l3"
  },
  "CAP_d705c581": {
   "en": "Convergence Spectral Gap Estimation",
   "zh": "收敛与谱隙估计",
   "level": "l3"
  },
  "CAP_d17216d5": {
   "en": "Optimal Momentum Coefficient Computation",
   "zh": "最优动量系数计算",
   "level": "l3"
  },
  "CAP_f14f73a0": {
   "en": "Accelerated State Initialization with Momentum",
   "zh": "加速状态初始化（含历史状态）",
   "level": "l3"
  },
  "CAP_37dd953f": {
   "en": "Synchronous Momentum Iteration Update",
   "zh": "同步动量迭代更新",
   "level": "l3"
  },
  "CAP_0bb7da68": {
   "en": "Directed Topology and Out-Neighbor Graph Construction",
   "zh": "有向图与出邻居图构建",
   "level": "l3"
  },
  "CAP_cea2d380": {
   "en": "Column-Stochastic Weight Matrix Design",
   "zh": "列随机权重矩阵设计",
   "level": "l3"
  },
  "CAP_1908c8b4": {
   "en": "Synchronous Dual-State Push-Sum Update",
   "zh": "同步双状态推送更新",
   "level": "l3"
  },
  "CAP_89a8c59a": {
   "en": "Grid Based A* Path Planning",
   "zh": "栅格A*路径规划",
   "level": "l2"
  },
  "CAP_fe791001": {
   "en": "Discrete Grid A* Search",
   "zh": "离散栅格A*搜索",
   "level": "l3"
  },
  "CAP_1163d428": {
   "en": "Admissible Heuristic Selection for Grid A*",
   "zh": "栅格A*可采纳启发式选择",
   "level": "l3"
  },
  "CAP_7ebe62b5": {
   "en": "Open Closed Set Management on Grid",
   "zh": "栅格Open/Closed集合管理",
   "level": "l3"
  },
  "CAP_97124a7d": {
   "en": "Path Reconstruction via Parent Index Backtracking",
   "zh": "基于父节点索引回溯的路径重建",
   "level": "l3"
  },
  "CAP_381dbf5e": {
   "en": "Continuous State Hybrid A* Path Planning",
   "zh": "连续状态Hybrid A*路径规划",
   "level": "l2"
  },
  "CAP_865a045c": {
   "en": "Hybrid A* SE2 State Node Expansion",
   "zh": "Hybrid A* SE(2)状态节点扩展",
   "level": "l3"
  },
  "CAP_5f18f17e": {
   "en": "Reeds-Shepp Curve Shortcut Expansion",
   "zh": "Reeds-Shepp曲线捷径扩展",
   "level": "l3"
  },
  "CAP_d0f90b59": {
   "en": "Vehicle Footprint Continuous Collision Check",
   "zh": "车辆足迹连续碰撞检测",
   "level": "l3"
  },
  "CAP_ece0a265": {
   "en": "Hybrid A* 2D Reverse Heuristic",
   "zh": "Hybrid A* 2D反向启发式",
   "level": "l3"
  },
  "CAP_c61b9723": {
   "en": "Motion Primitive Steer Set Discretization",
   "zh": "运动基元转向集离散化",
   "level": "l3"
  },
  "CAP_b89cec16": {
   "en": "Jump Point Search Grid A* Optimization",
   "zh": "Jump Point Search栅格A*优化",
   "level": "l2"
  },
  "CAP_06166e08": {
   "en": "JPS Look-ahead Rule Pruning",
   "zh": "JPS前瞻规则剪枝",
   "level": "l3"
  },
  "CAP_5bbe1add": {
   "en": "JPS Jumping Rule Recursive Expansion",
   "zh": "JPS跳跃规则递归扩展",
   "level": "l3"
  },
  "CAP_227682a6": {
   "en": "Forced Neighbor Detection",
   "zh": "强制邻居检测",
   "level": "l3"
  },
  "CAP_47999681": {
   "en": "Any Angle Theta* Path Planning",
   "zh": "任意角度Theta*路径规划",
   "level": "l2"
  },
  "CAP_ac52e485": {
   "en": "Theta* Line-of-Sight Bresenham Check",
   "zh": "Theta*视线Bresenham检测",
   "level": "l3"
  },
  "CAP_370e4604": {
   "en": "Theta* Parent Rewiring Path Compression",
   "zh": "Theta*父节点重写路径压缩",
   "level": "l3"
  },
  "CAP_6423c4e6": {
   "en": "Discrete Grid A Star 4 8 Connected Search",
   "zh": "离散栅格A* 4/8连通搜索",
   "level": "l3"
  },
  "CAP_2a27d693": {
   "en": "JPS Cardinal Diagonal Symmetry Breaking",
   "zh": "JPS 基数与对角线对称性破坏",
   "level": "l3"
  },
  "CAP_03607059": {
   "en": "Lazy Theta Star Deferred LOS Evaluation",
   "zh": "Lazy Theta* 延迟 LOS 评估",
   "level": "l3"
  },
  "CAP_0216feff": {
   "en": "Frozen Encoder Inference",
   "zh": "冻结编码器推理",
   "level": "l3"
  },
  "CAP_5921cd21": {
   "en": "Attentive Probe Training",
   "zh": "Attentive Probe 训练",
   "level": "l3"
  },
  "CAP_5ed67e93": {
   "en": "Fine-Tuning Strategy Selection",
   "zh": "微调策略选型",
   "level": "l2"
  },
  "CAP_e1171101": {
   "en": "Downstream Task Domain Gap Assessment",
   "zh": "下游任务域差评估",
   "level": "l3"
  },
  "CAP_8649c824": {
   "en": "Discriminative Learning Rate Configuration",
   "zh": "判别式学习率配置",
   "level": "l3"
  },
  "CAP_b122b5d5": {
   "en": "Progressive Unfreezing Training",
   "zh": "渐进解冻训练",
   "level": "l2"
  },
  "CAP_9ebd079a": {
   "en": "Frozen Backbone Head Warmup",
   "zh": "冻结骨干头预热",
   "level": "l3"
  },
  "CAP_b3336903": {
   "en": "Layer-wise Progressive Unfreezing",
   "zh": "逐层渐进解冻",
   "level": "l3"
  },
  "CAP_7d57a80b": {
   "en": "Forgetting and Overfitting Monitoring",
   "zh": "遗忘与过拟合监控",
   "level": "l3"
  },
  "CAP_63b932c9": {
   "en": "Anti-Forgetting Regularization",
   "zh": "抗遗忘正则",
   "level": "l3"
  },
  "CAP_05c21d26": {
   "en": "PEFT Module Configuration",
   "zh": "参数高效微调模块配置",
   "level": "l2"
  },
  "CAP_8d5643b8": {
   "en": "PEFT Method Selection",
   "zh": "参数高效微调方法选择",
   "level": "l3"
  },
  "CAP_34eee8d3": {
   "en": "LoRA Adapter Injection",
   "zh": "LoRA旁路注入",
   "level": "l3"
  },
  "CAP_ae47201f": {
   "en": "PEFT Training",
   "zh": "参数高效微调训练",
   "level": "l2"
  },
  "CAP_3764a7b3": {
   "en": "PEFT Parameter Optimization",
   "zh": "参数高效微调参数优化",
   "level": "l3"
  },
  "CAP_b55be10e": {
   "en": "Fine-Tuned Backbone Validation",
   "zh": "微调骨干验证",
   "level": "l2"
  },
  "CAP_9033aabd": {
   "en": "Downstream Performance Evaluation",
   "zh": "下游性能评估",
   "level": "l3"
  },
  "CAP_3da43784": {
   "en": "Adapted Model Export",
   "zh": "适配模型导出",
   "level": "l3"
  },
  "CAP_20d23905": {
   "en": "Panoptic Semantic Separation Background Reconstruction",
   "zh": "全景语义分离背景重建",
   "level": "l2"
  },
  "CAP_9c89a6f1": {
   "en": "2D Panoptic Semantic Segmentation",
   "zh": "二维全景语义分割",
   "level": "l3"
  },
  "CAP_08eb5c60": {
   "en": "Semantic Label Volumetric Fusion",
   "zh": "语义标签体积融合",
   "level": "l3"
  },
  "CAP_fc94d98f": {
   "en": "Stuff Class Voxel Extraction & Thing Removal",
   "zh": "Stuff类体素提取与Thing剔除",
   "level": "l3"
  },
  "CAP_8b875ff2": {
   "en": "Dynamic Removal Static Background Reconstruction",
   "zh": "动态去除静态背景重建",
   "level": "l2"
  },
  "CAP_57ff3b7d": {
   "en": "Voxel Binning & Multi-Frame Accumulation",
   "zh": "体素bin化与多帧累积",
   "level": "l3"
  },
  "CAP_b511a531": {
   "en": "Pseudo Occupancy Ratio Dynamic Static Discrimination",
   "zh": "伪占用比动静判别",
   "level": "l3"
  },
  "CAP_e34d2123": {
   "en": "Dynamic Voxel Removal & Background Inpainting",
   "zh": "动态体素剔除与背景inpainting",
   "level": "l3"
  },
  "CAP_4f1d7ea6": {
   "en": "Probabilistic Octree Occupancy Background Mapping",
   "zh": "概率占用八叉树背景建图",
   "level": "l2"
  },
  "CAP_70abf870": {
   "en": "Octree Log-Odds Occupancy Update",
   "zh": "八叉树log-odds占用更新",
   "level": "l3"
  },
  "CAP_626d34a0": {
   "en": "Multi-Resolution Occupancy Query",
   "zh": "多分辨率占用查询",
   "level": "l3"
  },
  "CAP_7e18ac42": {
   "en": "Moving Object Removal",
   "zh": "动目标去除",
   "level": "l3"
  },
  "CAP_4757b883": {
   "en": "LiDAR Scan Acquisition & Preprocessing",
   "zh": "LiDAR 扫描采集与预处理",
   "level": "l3"
  },
  "CAP_47c17fda": {
   "en": "3D Probabilistic Octree Mapping",
   "zh": "三维概率八叉树建图",
   "level": "l3"
  },
  "CAP_6d04e066": {
   "en": "Publish Volumetric Map Topics",
   "zh": "发布体积地图ROS话题",
   "level": "l3"
  },
  "CAP_023e99c1": {
   "en": "Statistical Parametric Background Subtraction",
   "zh": "统计参数化背景减除",
   "level": "l2"
  },
  "CAP_ae901785": {
   "en": "GMM Background Model Initialization",
   "zh": "GMM 背景模型初始化",
   "level": "l3"
  },
  "CAP_ba1e112b": {
   "en": "GMM Component Matching",
   "zh": "GMM 分量匹配",
   "level": "l3"
  },
  "CAP_3982be12": {
   "en": "Foreground Background Classification",
   "zh": "前景背景分类",
   "level": "l3"
  },
  "CAP_555e4892": {
   "en": "HSV Shadow Detection",
   "zh": "HSV 阴影检测",
   "level": "l3"
  },
  "CAP_9d9d0d2e": {
   "en": "Online EM Parameter Update",
   "zh": "在线 EM 参数更新",
   "level": "l3"
  },
  "CAP_8d7d818c": {
   "en": "Background Model Query and Post-processing",
   "zh": "背景模型查询与后处理",
   "level": "l3"
  },
  "CAP_efdf5d13": {
   "en": "Sample-Consensus Background Subtraction",
   "zh": "样本共识背景减除",
   "level": "l2"
  },
  "CAP_dab90a34": {
   "en": "First-Frame Neighborhood Sampling",
   "zh": "首帧邻域采样初始化",
   "level": "l3"
  },
  "CAP_e1941a93": {
   "en": "Sample-Consensus Classification",
   "zh": "样本共识分类",
   "level": "l3"
  },
  "CAP_b330fa17": {
   "en": "Random Sample Replacement Update",
   "zh": "随机样本替换更新",
   "level": "l3"
  },
  "CAP_0d03fdd3": {
   "en": "Neighborhood Propagation Update",
   "zh": "邻域传播更新",
   "level": "l3"
  },
  "CAP_be45fde3": {
   "en": "Adaptive R and T Feedback",
   "zh": "自适应 R 与 T 反馈",
   "level": "l3"
  },
  "CAP_c7af6f55": {
   "en": "Deep Learning Background Subtraction",
   "zh": "深度学习背景减除",
   "level": "l2"
  },
  "CAP_7066e67a": {
   "en": "Pre-trained VGG-16 Backbone Loading",
   "zh": "预训练 VGG-16 编码器加载",
   "level": "l3"
  },
  "CAP_07bac351": {
   "en": "Multi-Channel Input Construction",
   "zh": "多通道输入构造",
   "level": "l3"
  },
  "CAP_4f4831d4": {
   "en": "VGG-16 Encoder Forward",
   "zh": "VGG-16 编码器前向",
   "level": "l3"
  },
  "CAP_64d4f8c7": {
   "en": "Multi-Scale Feature Fusion",
   "zh": "多尺度特征融合",
   "level": "l3"
  },
  "CAP_bb3321e5": {
   "en": "Decoder Forward and Binarization",
   "zh": "解码器前向与二值化",
   "level": "l3"
  },
  "CAP_9cbebfe0": {
   "en": "DL Model Training and Inference",
   "zh": "DL 模型训练与推理",
   "level": "l3"
  },
  "CAP_c590f5c8": {
   "en": "CDnet 2014 Evaluation",
   "zh": "CDnet 2014 评测",
   "level": "l3"
  },
  "CAP_003d4b58": {
   "en": "Temporal Background Subtraction Static Mapping",
   "zh": "时序背景差分静态建图",
   "level": "l2"
  },
  "CAP_f7c35c33": {
   "en": "Spherical Range Image Projection",
   "zh": "球面投影生成 range image",
   "level": "l3"
  },
  "CAP_b6eb53ed": {
   "en": "Range Image Temporal Differencing",
   "zh": "时序 range image 差分与 visibility 检测",
   "level": "l3"
  },
  "CAP_a84528d7": {
   "en": "Multi-frame Batch Voting",
   "zh": "多帧批量投票判稳态/动态",
   "level": "l3"
  },
  "CAP_df0c5513": {
   "en": "Multiresolution Range Image Revert",
   "zh": "多分辨率恢复静态点",
   "level": "l3"
  },
  "CAP_de95c678": {
   "en": "Voxel Interest Region Extraction",
   "zh": "体素兴趣区域提取",
   "level": "l3"
  },
  "CAP_73c34f8e": {
   "en": "Region-wise Pseudo Occupancy Descriptor",
   "zh": "伪占用描述子计算",
   "level": "l3"
  },
  "CAP_7a0999de": {
   "en": "Scan Ratio Test",
   "zh": "扫描比率测试",
   "level": "l3"
  },
  "CAP_a5473ec6": {
   "en": "Region-wise Ground Plane Fitting",
   "zh": "区域地面拟合",
   "level": "l3"
  },
  "CAP_0d7d0601": {
   "en": "Temporal Occupancy Rate Filtering",
   "zh": "时序占用率滤波",
   "level": "l3"
  },
  "CAP_bdc19571": {
   "en": "Temporal Voxel Consistency Detection",
   "zh": "时序体素一致性检测",
   "level": "l3"
  },
  "CAP_b2f7f85d": {
   "en": "Sensor Grid Map Construction",
   "zh": "传感器栅格地图构建",
   "level": "l3"
  },
  "CAP_e0aa2cf4": {
   "en": "Residual Grid Map Computation",
   "zh": "残差栅格计算",
   "level": "l3"
  },
  "CAP_feac6dfa": {
   "en": "Bayesian Occupancy Filtering",
   "zh": "贝叶斯占用滤波",
   "level": "l3"
  },
  "CAP_dc369fc2": {
   "en": "Dynamic Cell Extraction",
   "zh": "动态 cell 提取",
   "level": "l3"
  },
  "CAP_461961ef": {
   "en": "Static Map Persistent Update",
   "zh": "持久静态地图更新",
   "level": "l3"
  },
  "CAP_37217864": {
   "en": "Costmap Clearing Engine",
   "zh": "代价地图清除引擎",
   "level": "l3"
  },
  "CAP_74c5ae79": {
   "en": "Differential Drive Backup Recovery",
   "zh": "差速驱动后退恢复",
   "level": "l2"
  },
  "CAP_515120f9": {
   "en": "Backup Direction Sign Forcing",
   "zh": "后退方向符号强制",
   "level": "l3"
  },
  "CAP_08f580c5": {
   "en": "Backup Velocity Smoothing",
   "zh": "后退速度平滑",
   "level": "l3"
  },
  "CAP_1aceb00e": {
   "en": "Backup Forward Simulation Collision Check",
   "zh": "后退前向仿真碰撞检测",
   "level": "l3"
  },
  "CAP_c14525fb": {
   "en": "Backup Termination and State Recovery",
   "zh": "后退终止与状态回收",
   "level": "l3"
  },
  "CAP_87ad82ac": {
   "en": "Ackermann Stepback Steerturn Recovery",
   "zh": "阿克曼后退转向恢复",
   "level": "l2"
  },
  "CAP_7dbe0fe8": {
   "en": "Move Base Recovery Plugin Integration",
   "zh": "Move Base 恢复插件集成",
   "level": "l3"
  },
  "CAP_b69cddbf": {
   "en": "Stepback Linear Backup",
   "zh": "后退直线运动",
   "level": "l3"
  },
  "CAP_7684d5ed": {
   "en": "Costmap Sector Scan for Nearest Obstacle",
   "zh": "代价地图扇形扫描最近障碍",
   "level": "l3"
  },
  "CAP_0c919c1d": {
   "en": "Forward Simulate Pose Until Obstacle",
   "zh": "前向仿真位姿至障碍",
   "level": "l3"
  },
  "CAP_157dd3e7": {
   "en": "Turn Direction Decision by Obstacle Scan",
   "zh": "障碍扫描转向方向决策",
   "level": "l3"
  },
  "CAP_e5b6c0b2": {
   "en": "Arc Steer Turn Execution",
   "zh": "弧线转向执行",
   "level": "l3"
  },
  "CAP_da4d1beb": {
   "en": "Forward Clearance Check",
   "zh": "前方净空检测",
   "level": "l3"
  },
  "CAP_2a173c59": {
   "en": "Recovery Loop and Mode Control",
   "zh": "恢复循环与模式控制",
   "level": "l3"
  },
  "CAP_9c375479": {
   "en": "Weighted Distribution Sampling for Synthetic Data",
   "zh": "合成数据加权分布采样",
   "level": "l2"
  },
  "CAP_08d3a255": {
   "en": "Stratified Scene Template Sampling",
   "zh": "分层场景模板采样",
   "level": "l3"
  },
  "CAP_a4cd6738": {
   "en": "Inverse-Frequency Class Balancing",
   "zh": "反频率类平衡",
   "level": "l3"
  },
  "CAP_e48e3064": {
   "en": "Generated Dataset Distribution Audit",
   "zh": "生成数据集分布审计",
   "level": "l3"
  },
  "CAP_ee3e2a21": {
   "en": "Heuristic Difficulty Scoring for Synthetic Scenes",
   "zh": "合成场景启发式难度评分",
   "level": "l2"
  },
  "CAP_5ce3c8c6": {
   "en": "Difficulty-Bin Stratified Sampling",
   "zh": "难度分箱分层采样",
   "level": "l3"
  },
  "CAP_5377da42": {
   "en": "Hard Negative Generation Balance",
   "zh": "难例生成平衡",
   "level": "l3"
  },
  "CAP_eb301eb6": {
   "en": "DPP-based Diversity Sampling",
   "zh": "基于 DPP 的多样性采样",
   "level": "l3"
  },
  "CAP_6e25271c": {
   "en": "CoreSet k-Center Selection",
   "zh": "CoreSet k-中心选择",
   "level": "l3"
  },
  "CAP_64ff02b5": {
   "en": "MMR Diversity Maximization",
   "zh": "MMR 多样性最大化",
   "level": "l3"
  },
  "CAP_a31d1f57": {
   "en": "Embedding Coverage Audit",
   "zh": "嵌入覆盖审计",
   "level": "l3"
  },
  "CAP_1dec87f0": {
   "en": "RenderAndAnnotate",
   "zh": "渲染与标注",
   "level": "l3"
  },
  "CAP_3c7c99a3": {
   "en": "AnnotationSerialization",
   "zh": "标注序列化",
   "level": "l3"
  },
  "CAP_994364b2": {
   "en": "AnnotationSerialization",
   "zh": "标注序列化",
   "level": "l3"
  },
  "CAP_aad1c74c": {
   "en": "ClassFrequencyWeighting",
   "zh": "类别频率权重计算",
   "level": "l3"
  },
  "CAP_5c262f10": {
   "en": "RenderSyntheticScenes",
   "zh": "合成场景渲染",
   "level": "l3"
  },
  "CAP_1c4e3ddf": {
   "en": "Distribution Deviation Assessment",
   "zh": "分布偏差评估",
   "level": "l3"
  },
  "CAP_805c786c": {
   "en": "Proprioceptive RL Motor Adaptation on Unstable Terrain",
   "zh": "不稳定地面本体感受强化学习适应",
   "level": "l2"
  },
  "CAP_e4818fc8": {
   "en": "Procedural Terrain Curriculum Generation",
   "zh": "程序化地形课程生成",
   "level": "l3"
  },
  "CAP_8a795d1a": {
   "en": "Online Adaptation Module Distillation",
   "zh": "在线适应模块蒸馏",
   "level": "l3"
  },
  "CAP_5b7be00b": {
   "en": "Asynchronous Policy Deployment on Edge Compute",
   "zh": "边缘算力异步策略部署",
   "level": "l3"
  },
  "CAP_7bca8cea": {
   "en": "Online Terrain Adaptation via Proprioceptive History",
   "zh": "基于本体感受历史的在线地形适应",
   "level": "l3"
  },
  "CAP_5d2ab689": {
   "en": "Exteroceptive Perceptive Locomotion on Unstable Terrain",
   "zh": "不稳定地面外部感受感知运动控制",
   "level": "l2"
  },
  "CAP_c62fc552": {
   "en": "Height Drift Compensation and Visibility Cleanup",
   "zh": "高程漂移补偿与可见性清理",
   "level": "l3"
  },
  "CAP_2de5ea6c": {
   "en": "Belief State Reconstruction Loss",
   "zh": "信念状态重建损失",
   "level": "l3"
  },
  "CAP_76300465": {
   "en": "Model-Based Optimization MPC+WBC on Unstable Terrain",
   "zh": "不稳定地面基于模型优化控制 MPC+WBC",
   "level": "l2"
  },
  "CAP_23daee64": {
   "en": "Friction Pyramid Constraint Formulation",
   "zh": "摩擦锥金字塔约束构造",
   "level": "l3"
  },
  "CAP_03ea03cd": {
   "en": "WBIC Prioritized Task Hierarchy and Null-Space Projection",
   "zh": "WBIC 优先级任务层次与零空间投影",
   "level": "l3"
  },
  "CAP_8c6af6d4": {
   "en": "Multi-Rate MPC-WBC-PD Deployment",
   "zh": "MPC-WBC-PD 多频率部署",
   "level": "l3"
  },
  "CAP_3981ae0f": {
   "en": "Learning-Based Traversability Filter",
   "zh": "学习型可通行性滤波器",
   "level": "l3"
  },
  "CAP_56d6e662": {
   "en": "Elevation Map Construction & Update",
   "zh": "高程地图构建与更新",
   "level": "l3"
  },
  "CAP_a3fa6fe1": {
   "en": "Whole Body Control Torque Distribution",
   "zh": "全身控制力矩分发",
   "level": "l3"
  },
  "CAP_ad2f551b": {
   "en": "Threshold-Based Traversability from Geometric Features",
   "zh": "基于几何特征的阈值化可通行性",
   "level": "l3"
  },
  "CAP_b3e34f98": {
   "en": "MPC GRF Optimization",
   "zh": "MPC 地面反作用力优化",
   "level": "l3"
  },
  "CAP_b911252c": {
   "en": "Geometric Feature Layer Computation",
   "zh": "几何特征层计算",
   "level": "l3"
  },
  "CAP_c159d8e3": {
   "en": "Robot-Centric Elevation Mapping",
   "zh": "机器人中心高程地图构建",
   "level": "l3"
  },
  "CAP_cfbaf430": {
   "en": "Trot Gait Generation",
   "zh": "对角步态生成",
   "level": "l3"
  },
  "CAP_4235d7c3": {
   "en": "Reactive Stepping Recovery Planning",
   "zh": "反应式迈步恢复规划",
   "level": "l2"
  },
  "CAP_a84f4973": {
   "en": "Push Impulse Estimation",
   "zh": "推力冲量估计",
   "level": "l3"
  },
  "CAP_c849de48": {
   "en": "Stepping Necessity Assessment",
   "zh": "迈步必要性评估",
   "level": "l3"
  },
  "CAP_77f9ac65": {
   "en": "Capture-Region Reachability Check",
   "zh": "捕获区域可达性核验",
   "level": "l3"
  },
  "CAP_ae9d34ed": {
   "en": "Swing Foot Trajectory Generation",
   "zh": "摆动足轨迹生成",
   "level": "l3"
  },
  "CAP_ce03d376": {
   "en": "Horizon-Based Footstep MPC",
   "zh": "滚动时域足端 MPC",
   "level": "l3"
  },
  "CAP_974f4ac2": {
   "en": "Friction-Aware Step Adjustment",
   "zh": "摩擦感知步长调整",
   "level": "l3"
  },
  "CAP_67623d15": {
   "en": "Receding Horizon Re-Planning",
   "zh": "滚动时域重规划",
   "level": "l3"
  },
  "CAP_fcc3d3c1": {
   "en": "Whole-Body Stepping Execution",
   "zh": "全身控制迈步执行",
   "level": "l3"
  },
  "CAP_459d5c65": {
   "en": "Disturbance-Randomized RL Training",
   "zh": "扰动随机化 RL 训练",
   "level": "l3"
  },
  "CAP_e568388c": {
   "en": "End-to-End Push Recovery Policy",
   "zh": "端到端推力恢复策略",
   "level": "l3"
  },
  "CAP_b3432442": {
   "en": "Privileged Training with Disturbance Injection",
   "zh": "特权训练与扰动注入",
   "level": "l3"
  },
  "CAP_a5dd6007": {
   "en": "OOD Disturbance Detection and Fallback",
   "zh": "OOD 扰动检测与降级",
   "level": "l3"
  },
  "CAP_2c36ae7c": {
   "en": "Stable Gait Re-Entry Transition",
   "zh": "稳定步态重入过渡",
   "level": "l3"
  },
  "CAP_e8fc23bb": {
   "en": "Raibert Heuristic Footstep Prediction",
   "zh": "Raibert 启发式落脚点预测",
   "level": "l3"
  },
  "CAP_6fea05c6": {
   "en": "WebRTC GCC Transport-Level Adaptive Bitrate Control",
   "zh": "WebRTC GCC 传输层自适应码率控制",
   "level": "l2"
  },
  "CAP_358e3d00": {
   "en": "RTP Packetization and Pacing",
   "zh": "RTP 打包与平滑发送",
   "level": "l3"
  },
  "CAP_c66209be": {
   "en": "RTCP Transport-CC Feedback Processing",
   "zh": "RTCP Transport-CC 反馈处理",
   "level": "l3"
  },
  "CAP_d1e02d55": {
   "en": "Trendline Filter Delay Gradient Estimation",
   "zh": "Trendline 滤波时延梯度估计",
   "level": "l3"
  },
  "CAP_4a7607ae": {
   "en": "Over-use Detection",
   "zh": "过用检测",
   "level": "l3"
  },
  "CAP_92f6d66f": {
   "en": "Loss-based Congestion Control",
   "zh": "丢包拥塞控制",
   "level": "l3"
  },
  "CAP_f43d3713": {
   "en": "AIMD Rate Control",
   "zh": "AIMD 码率控制",
   "level": "l3"
  },
  "CAP_7e539362": {
   "en": "Bandwidth Probing",
   "zh": "带宽主动探测",
   "level": "l3"
  },
  "CAP_66351e3c": {
   "en": "Multi-stream Bitrate Allocation",
   "zh": "多流码率分配",
   "level": "l3"
  },
  "CAP_faa54ccd": {
   "en": "Encoder Bitrate Adaptation",
   "zh": "编码器码率自适应",
   "level": "l3"
  },
  "CAP_6497eb1c": {
   "en": "ROS2 DDS QoS Adaptive Adjustment",
   "zh": "ROS2 DDS QoS 自适应调整",
   "level": "l2"
  },
  "CAP_c87f0432": {
   "en": "Topic Throughput Monitoring",
   "zh": "话题吞吐监测",
   "level": "l3"
  },
  "CAP_7f15ac50": {
   "en": "QoS Profile Selection and Instantiation",
   "zh": "QoS Profile 选择与实例化",
   "level": "l3"
  },
  "CAP_9190fc18": {
   "en": "Transport Plugin Selection",
   "zh": "传输插件选择",
   "level": "l3"
  },
  "CAP_77988b5f": {
   "en": "QoS Profile Update",
   "zh": "QoS Profile 更新",
   "level": "l3"
  },
  "CAP_b6981961": {
   "en": "Compression Parameter Tuning",
   "zh": "压缩参数在线整定",
   "level": "l3"
  },
  "CAP_49c69e32": {
   "en": "Image Transport Plugin Switching",
   "zh": "image_transport 插件切换",
   "level": "l3"
  },
  "CAP_9c7d785b": {
   "en": "Zenoh Link-level Traffic Shaping",
   "zh": "Zenoh 链路级流量塑形",
   "level": "l3"
  },
  "CAP_c4c8a1fa": {
   "en": "Predictive Compression Level Decision",
   "zh": "预测式压缩级别决策",
   "level": "l2"
  },
  "CAP_17502b60": {
   "en": "Throughput History Maintenance",
   "zh": "吞吐历史窗口维护",
   "level": "l3"
  },
  "CAP_e498913f": {
   "en": "Network Bandwidth Prediction",
   "zh": "网络带宽预测",
   "level": "l3"
  },
  "CAP_12074857": {
   "en": "QoE-driven Compression Level Decision",
   "zh": "QoE 驱动压缩级别决策",
   "level": "l3"
  },
  "CAP_47fdc925": {
   "en": "Mahimahi Trace-driven Simulation",
   "zh": "Mahimahi Trace 驱动仿真",
   "level": "l3"
  },
  "CAP_60bc0c06": {
   "en": "Sensor Data Adaptive Compression",
   "zh": "传感器数据自适应压缩",
   "level": "l3"
  },
  "CAP_a091a8f8": {
   "en": "DDS QoS Adaptive Communication",
   "zh": "DDS QoS 动态自适应通信",
   "level": "l2"
  },
  "CAP_4de45077": {
   "en": "QoS Event Callback Monitoring",
   "zh": "QoS 事件回调监测",
   "level": "l3"
  },
  "CAP_1445eec1": {
   "en": "Network Congestion Indicator Aggregation",
   "zh": "网络拥塞指标聚合",
   "level": "l3"
  },
  "CAP_c85d4c30": {
   "en": "QoS Adaptive Decision",
   "zh": "QoS 自适应决策",
   "level": "l3"
  },
  "CAP_adf55cd6": {
   "en": "QoS Profile Switching",
   "zh": "QoS Profile 切换",
   "level": "l3"
  },
  "CAP_dfb1c068": {
   "en": "Flow Controller Rate Limiting",
   "zh": "Flow Controller 速率限制",
   "level": "l3"
  },
  "CAP_2eef0516": {
   "en": "Transport Priority Mapping",
   "zh": "传输优先级映射",
   "level": "l3"
  },
  "CAP_d8f7f1aa": {
   "en": "Low Bandwidth Transport",
   "zh": "低带宽传输优化",
   "level": "l3"
  },
  "CAP_c7366196": {
   "en": "Video Adaptive Bitrate Streaming",
   "zh": "视频自适应码率流",
   "level": "l2"
  },
  "CAP_8aa3429b": {
   "en": "RTCP Feedback Collection",
   "zh": "RTCP 反馈采集",
   "level": "l3"
  },
  "CAP_9644dea5": {
   "en": "Packet Arrival Tracking",
   "zh": "包到达跟踪",
   "level": "l3"
  },
  "CAP_b698429c": {
   "en": "DelayBasedBwe Estimation",
   "zh": "基于延迟的带宽估计",
   "level": "l3"
  },
  "CAP_f6a76cdc": {
   "en": "LossBasedBweV2 Estimation",
   "zh": "基于丢包的带宽估计 V2",
   "level": "l3"
  },
  "CAP_205cb947": {
   "en": "H.264 SVC Layer Selection",
   "zh": "H.264 SVC 层选择",
   "level": "l3"
  },
  "CAP_fa2d06e2": {
   "en": "QP Adaptive Control",
   "zh": "QP 自适应控制",
   "level": "l3"
  },
  "CAP_81e79bcc": {
   "en": "Encoder Reconfiguration",
   "zh": "编码器重新配置",
   "level": "l3"
  },
  "CAP_9463215e": {
   "en": "Cross-Layer Wireless Bandwidth Awareness",
   "zh": "跨层无线带宽感知",
   "level": "l2"
  },
  "CAP_f1ab8c55": {
   "en": "CSMA/CA Carrier Sensing",
   "zh": "CSMA/CA 载波侦听",
   "level": "l3"
  },
  "CAP_afca716e": {
   "en": "Hello Message Exchange",
   "zh": "Hello 报文交换",
   "level": "l3"
  },
  "CAP_bc88c22c": {
   "en": "AAC Bandwidth Estimation",
   "zh": "AAC 带宽估计",
   "level": "l3"
  },
  "CAP_01677531": {
   "en": "Cross-Layer Signaling",
   "zh": "跨层信令传递",
   "level": "l3"
  },
  "CAP_55313306": {
   "en": "AODV-ETX Routing",
   "zh": "AODV-ETX 路由",
   "level": "l3"
  },
  "CAP_3d9b5a6c": {
   "en": "Rate Adaptation",
   "zh": "速率自适应",
   "level": "l3"
  },
  "CAP_e9793e29": {
   "en": "Telemetry Loop Closure",
   "zh": "遥测闭环",
   "level": "l3"
  },
  "CAP_c573d6af": {
   "en": "Topic Bandwidth Sampling",
   "zh": "话题带宽采样",
   "level": "l2"
  },
  "CAP_0449845a": {
   "en": "Topic Rate Throttling Management",
   "zh": "话题频率节流管理",
   "level": "l2"
  },
  "CAP_cb588f79": {
   "en": "DDS Flow Controller Bandwidth Limit",
   "zh": "DDS 流控器带宽限速",
   "level": "l2"
  },
  "CAP_3efa7897": {
   "en": "Adaptive QoS Orchestration",
   "zh": "自适应 QoS 调度",
   "level": "l2"
  },
  "CAP_73d508e1": {
   "en": "Topic Statistics Collection",
   "zh": "话题统计聚合",
   "level": "l3"
  },
  "CAP_939a901f": {
   "en": "Message Age and Period Statistics",
   "zh": "消息年龄与周期统计",
   "level": "l3"
  },
  "CAP_1b187a05": {
   "en": "Topic Profile Classification",
   "zh": "话题画像分类",
   "level": "l3"
  },
  "CAP_614ffc58": {
   "en": "QoS Profile Instantiation",
   "zh": "QoS Profile 实例化",
   "level": "l3"
  },
  "CAP_5fd9a1d3": {
   "en": "QoS Compatibility Check",
   "zh": "QoS 兼容性校验",
   "level": "l3"
  },
  "CAP_7f5c388d": {
   "en": "Throttle Mode Selection",
   "zh": "节流模式选择",
   "level": "l3"
  },
  "CAP_7ec8ac36": {
   "en": "Drop Component Spawn",
   "zh": "丢弃节流组件生成",
   "level": "l3"
  },
  "CAP_7fda615a": {
   "en": "Topic Byte Bandwidth Throttling",
   "zh": "话题字节率节流",
   "level": "l3"
  },
  "CAP_07e553b1": {
   "en": "DDS Transport Switching",
   "zh": "DDS 传输层切换",
   "level": "l3"
  },
  "CAP_e4e99058": {
   "en": "Bandwidth Feedback Aggregation",
   "zh": "带宽反馈聚合",
   "level": "l3"
  },
  "CAP_7461c2f8": {
   "en": "Threshold-Triggered QoS Degrade",
   "zh": "阈值触发 QoS 降级",
   "level": "l3"
  },
  "CAP_4846f620": {
   "en": "Distributed Local QoS Decision",
   "zh": "分布式本地 QoS 决策",
   "level": "l3"
  },
  "CAP_70103b75": {
   "en": "Event Trigger Function Design",
   "zh": "事件触发函数设计",
   "level": "l2"
  },
  "CAP_6f9da8c5": {
   "en": "Static Event Triggering",
   "zh": "静态事件触发",
   "level": "l2"
  },
  "CAP_cd636e84": {
   "en": "Dynamic Event Triggering",
   "zh": "动态事件触发",
   "level": "l2"
  },
  "CAP_0eb4feae": {
   "en": "Event-Triggered MPC",
   "zh": "事件触发模型预测控制",
   "level": "l2"
  },
  "CAP_eaeb095a": {
   "en": "Zeno Avoidance and Dwell Time",
   "zh": "Zeno 规避与驻留时间",
   "level": "l2"
  },
  "CAP_9aa38722": {
   "en": "Multi-Agent Dynamics Modeling",
   "zh": "多智能体动力学建模",
   "level": "l3"
  },
  "CAP_8eb56c62": {
   "en": "Communication Topology Graph",
   "zh": "通信拓扑图建模",
   "level": "l3"
  },
  "CAP_5dd28888": {
   "en": "Measurement Error Computation",
   "zh": "测量误差计算",
   "level": "l3"
  },
  "CAP_a774e3ee": {
   "en": "Trigger Function Skeleton Design",
   "zh": "触发函数骨架设计",
   "level": "l3"
  },
  "CAP_d93eeb24": {
   "en": "Static Threshold Instantiation",
   "zh": "静态阈值实例化",
   "level": "l3"
  },
  "CAP_5770763e": {
   "en": "Trigger Broadcast and Sync",
   "zh": "触发广播与同步",
   "level": "l3"
  },
  "CAP_b82fff26": {
   "en": "Zero-Order Hold Control",
   "zh": "零阶保持控制",
   "level": "l3"
  },
  "CAP_99c5e8af": {
   "en": "Auxiliary Variable Introduction",
   "zh": "辅助变量引入",
   "level": "l3"
  },
  "CAP_3d703cb8": {
   "en": "Dynamic Threshold Update",
   "zh": "动态阈值更新",
   "level": "l3"
  },
  "CAP_0de467b1": {
   "en": "Average Inter-Event Extension",
   "zh": "平均触发间隔延长",
   "level": "l3"
  },
  "CAP_db9af652": {
   "en": "Local MPC Problem Construction",
   "zh": "局部 MPC 问题构造",
   "level": "l3"
  },
  "CAP_793d783a": {
   "en": "Terminal Constraint Set Design",
   "zh": "终端约束集设计",
   "level": "l3"
  },
  "CAP_3fddeb06": {
   "en": "Trigger-Solve-Broadcast Loop",
   "zh": "触发-求解-广播循环",
   "level": "l3"
  },
  "CAP_3380603f": {
   "en": "Zeno Behavior Detection",
   "zh": "Zeno 行为检测",
   "level": "l3"
  },
  "CAP_b121739f": {
   "en": "Minimum Dwell Time Lower Bound",
   "zh": "最小驻留时间下界",
   "level": "l3"
  },
  "CAP_91560648": {
   "en": "Performance-Rate Tradeoff Evaluation",
   "zh": "性能-速率权衡评估",
   "level": "l3"
  },
  "CAP_c91633bb": {
   "en": "Information Value Quantification",
   "zh": "信息价值量化",
   "level": "l2"
  },
  "CAP_a6b30de9": {
   "en": "Selective Transmission Decision",
   "zh": "选择性传输决策",
   "level": "l2"
  },
  "CAP_354e5113": {
   "en": "Compact Data Encoding and Transmission",
   "zh": "紧凑数据编码与传输",
   "level": "l2"
  },
  "CAP_6d7fe9a8": {
   "en": "Consistent Distributed Fusion",
   "zh": "一致分布式融合",
   "level": "l2"
  },
  "CAP_45fbee7c": {
   "en": "Distributed Backend Optimization",
   "zh": "分布式后端优化",
   "level": "l2"
  },
  "CAP_db44e0ab": {
   "en": "Candidate Message Enumeration",
   "zh": "候选消息枚举",
   "level": "l3"
  },
  "CAP_80704a79": {
   "en": "Covariance Growth Evaluation",
   "zh": "协方差增长评估",
   "level": "l3"
  },
  "CAP_4881d4f4": {
   "en": "Bandwidth Assessment Mode Selection",
   "zh": "带宽评估方式选择",
   "level": "l3"
  },
  "CAP_5cd8c581": {
   "en": "Auction-Based Task Allocation",
   "zh": "拍卖机制任务分配",
   "level": "l3"
  },
  "CAP_8e30e86d": {
   "en": "Selected Message Set Aggregation",
   "zh": "选定消息集合汇总",
   "level": "l3"
  },
  "CAP_1b865bf1": {
   "en": "BoW Descriptor Extraction",
   "zh": "BoW 描述符提取",
   "level": "l3"
  },
  "CAP_1014372f": {
   "en": "Summarized Map and Anti-factor Construction",
   "zh": "摘要地图与反因子构造",
   "level": "l3"
  },
  "CAP_f9acf5de": {
   "en": "CI Additive Fusion Execution",
   "zh": "CI加法融合执行",
   "level": "l3"
  },
  "CAP_2483d8b7": {
   "en": "Anti-factor Subtraction Fusion",
   "zh": "反因子减法融合",
   "level": "l3"
  },
  "CAP_9212fe94": {
   "en": "PCM Outlier Rejection",
   "zh": "PCM 离群点剔除",
   "level": "l3"
  },
  "CAP_69077b2a": {
   "en": "Incremental Maximum Clique Search",
   "zh": "增量最大团搜索",
   "level": "l3"
  },
  "CAP_0b37715b": {
   "en": "Distributed PGO via RBCD",
   "zh": "RBCD 分布式位姿图优化",
   "level": "l3"
  },
  "CAP_c7c47b2c": {
   "en": "Local Mesh Deformation Update",
   "zh": "本地网格变形更新",
   "level": "l3"
  },
  "CAP_b6cc7479": {
   "en": "MessageDropThrottling",
   "zh": "消息丢弃节流",
   "level": "l3"
  },
  "CAP_c4037bfb": {
   "en": "BEV Point Cloud Encoding",
   "zh": "BEV 点云编码",
   "level": "l3"
  },
  "CAP_35d77f5f": {
   "en": "Camera to BEV Transformation",
   "zh": "相机到 BEV 变换",
   "level": "l3"
  },
  "CAP_f43dee5e": {
   "en": "Detection-Supervised Confidence Map Generation",
   "zh": "检测监督的置信图生成",
   "level": "l3"
  },
  "CAP_46ec65b6": {
   "en": "Request Map Computation",
   "zh": "请求图计算",
   "level": "l3"
  },
  "CAP_8eb472ab": {
   "en": "Spatial Confidence-Aware Communication",
   "zh": "空间置信感知通信",
   "level": "l2"
  },
  "CAP_4aeddfc6": {
   "en": "Sparse Message Packing",
   "zh": "稀疏消息打包",
   "level": "l3"
  },
  "CAP_f84e7cc3": {
   "en": "Confidence-Aware Multi-Head Attention Fusion",
   "zh": "置信感知多头注意力融合",
   "level": "l3"
  },
  "CAP_bc546987": {
   "en": "Sensor Positional Encoding",
   "zh": "传感器位置编码",
   "level": "l3"
  },
  "CAP_c1b297d3": {
   "en": "3D Object Detection Head",
   "zh": "3D 目标检测头",
   "level": "l3"
  },
  "CAP_8f4ee53b": {
   "en": "Multi-Round Communication Iteration",
   "zh": "多轮通信迭代",
   "level": "l3"
  },
  "CAP_2d628d83": {
   "en": "BEV Feature Extraction",
   "zh": "BEV 特征提取",
   "level": "l2"
  },
  "CAP_a7623ec3": {
   "en": "Low-Dimensional Query/Key Generation",
   "zh": "低维查询键生成",
   "level": "l3"
  },
  "CAP_27e43ac8": {
   "en": "Handshake Communication Decision",
   "zh": "握手式通信决策",
   "level": "l3"
  },
  "CAP_fc093a08": {
   "en": "When2com Frame-Level Communication Graph",
   "zh": "帧级通信图更新",
   "level": "l3"
  },
  "CAP_ca0e9d42": {
   "en": "Multi-Round GNN Communication Graph Aggregation",
   "zh": "多轮 GNN 通信图聚合",
   "level": "l3"
  },
  "CAP_bbc05e02": {
   "en": "Voxelization Point Cloud Encoding",
   "zh": "点云体素化编码",
   "level": "l3"
  },
  "CAP_f42f9515": {
   "en": "Feature Channel Compression",
   "zh": "特征通道压缩",
   "level": "l3"
  },
  "CAP_8db9e544": {
   "en": "Communication Bandwidth Controller",
   "zh": "通信带宽控制器",
   "level": "l3"
  },
  "CAP_423168db": {
   "en": "Feature Decoding from Compressed Messages",
   "zh": "压缩特征解码",
   "level": "l3"
  },
  "CAP_8a818b87": {
   "en": "Spatial Fusion Feature Concatenation",
   "zh": "空间融合特征拼接",
   "level": "l3"
  },
  "CAP_060a1258": {
   "en": "Knowledge Distillation with Late Fusion Teacher",
   "zh": "知识蒸馏",
   "level": "l3"
  },
  "CAP_a6742abb": {
   "en": "Enumerate Candidate Sensing Actions",
   "zh": "感知动作枚举",
   "level": "l3"
  },
  "CAP_496deb5f": {
   "en": "Budget and Constraints Definition",
   "zh": "预算与约束定义",
   "level": "l3"
  },
  "CAP_c72f7480": {
   "en": "Posterior Entropy Estimation via Gaussian Process",
   "zh": "GP 后验熵估计",
   "level": "l3"
  },
  "CAP_cfbb9f72": {
   "en": "Mutual Information Computation",
   "zh": "互信息计算",
   "level": "l3"
  },
  "CAP_ec37e585": {
   "en": "Non-Myopic Value of Information via Submodular Optimization",
   "zh": "非短视信息价值",
   "level": "l3"
  },
  "CAP_0959c391": {
   "en": "Submodularity Verification",
   "zh": "子模性验证",
   "level": "l3"
  },
  "CAP_2bfc9495": {
   "en": "Constrained Greedy Submodular Maximization",
   "zh": "约束贪心子模最大化",
   "level": "l3"
  },
  "CAP_5ed4ab16": {
   "en": "Observation Fusion and EKF Update",
   "zh": "观测融合与 EKF 更新",
   "level": "l3"
  },
  "CAP_09da1f1c": {
   "en": "Iterative Perception Planning Loop",
   "zh": "迭代感知规划",
   "level": "l3"
  },
  "CAP_3e4bbd65": {
   "en": "Compact Descriptor Distillation for MR-SLAM",
   "zh": "紧凑描述符蒸馏压缩",
   "level": "l2"
  },
  "CAP_aa204a3f": {
   "en": "Cross-Dimensional Distillation Loss",
   "zh": "跨维度蒸馏损失",
   "level": "l3"
  },
  "CAP_09a34b41": {
   "en": "DSC Student Descriptor Network",
   "zh": "深度可分离学生描述符网络",
   "level": "l3"
  },
  "CAP_8bba7116": {
   "en": "Bandwidth-Efficient Keyframe Descriptor Exchange",
   "zh": "带宽高效关键帧描述符交换",
   "level": "l3"
  },
  "CAP_ce9158a6": {
   "en": "Tightly-Coupled Visual-Inertial SLAM Tracking Pipeline",
   "zh": "紧耦合视觉-惯性SLAM跟踪管线",
   "level": "l3"
  },
  "CAP_840defed": {
   "en": "Multi-Robot ViMap BoW Cross-Retrieval",
   "zh": "多机器人ViMap词袋跨检索",
   "level": "l3"
  },
  "CAP_989ae9db": {
   "en": "Compact Global Descriptor Sparse Graph Transmission",
   "zh": "紧凑全局描述子稀疏图传输",
   "level": "l2"
  },
  "CAP_0ce4ee07": {
   "en": "3D LiDAR Point Cloud Acquisition and Undistortion",
   "zh": "3D LiDAR 点云采集与去畸变",
   "level": "l3"
  },
  "CAP_20640871": {
   "en": "Local LiDAR Odometry Estimation",
   "zh": "本地 LiDAR 里程计估计",
   "level": "l3"
  },
  "CAP_751caa44": {
   "en": "Scan Context Inter-Robot Loop Closure Detection",
   "zh": "Scan Context 跨机闭环检测",
   "level": "l3"
  },
  "CAP_ab7de020": {
   "en": "Scan Context Descriptor Serialization",
   "zh": "Scan Context 描述子序列化",
   "level": "l3"
  },
  "CAP_6225257a": {
   "en": "Sparse Pose Graph Edge Extraction",
   "zh": "稀疏位姿图边提取",
   "level": "l3"
  },
  "CAP_30a803ce": {
   "en": "Inter-Robot Descriptor and Sparse Graph Transmission",
   "zh": "机间描述子与稀疏图传输",
   "level": "l3"
  },
  "CAP_5f8aacc5": {
   "en": "Two-Stage Global-Local Graph Optimization",
   "zh": "两阶段全局-局部图优化",
   "level": "l3"
  },
  "CAP_18482663": {
   "en": "Map Data Deep Compression Transmission",
   "zh": "地图数据深度压缩传输",
   "level": "l3"
  },
  "CAP_100e4ada": {
   "en": "Lightweight CNN Map Feature Extraction",
   "zh": "轻量 CNN 地图特征提取",
   "level": "l3"
  },
  "CAP_6d68664e": {
   "en": "Huffman RLE Map Encoding",
   "zh": "Huffman RLE 地图编码",
   "level": "l3"
  },
  "CAP_5828d8d5": {
   "en": "CNN Map Recovery",
   "zh": "CNN 地图恢复",
   "level": "l3"
  },
  "CAP_b2c9d329": {
   "en": "Selective Keyframe Transmission and Prioritization",
   "zh": "关键帧选择性传输与优先级排序",
   "level": "l2"
  },
  "CAP_891fb16a": {
   "en": "Keyframe Information Gain Evaluation",
   "zh": "关键帧信息增益评估",
   "level": "l3"
  },
  "CAP_7a62dea3": {
   "en": "Loop Closure Prioritization",
   "zh": "闭环优先级排序",
   "level": "l3"
  },
  "CAP_39dbac18": {
   "en": "Prioritized Loop Constraint Transmission",
   "zh": "优先闭环约束传输",
   "level": "l3"
  },
  "CAP_92456093": {
   "en": "Statistical Baseline Comparison",
   "zh": "统计基线对比",
   "level": "l2"
  },
  "CAP_24202585": {
   "en": "Per-Run Normalized Score Matrix Assembly",
   "zh": "逐 run 归一化分数矩阵组装",
   "level": "l3"
  },
  "CAP_6a962c8d": {
   "en": "Stratified Bootstrap Confidence Interval Computation",
   "zh": "分层 Bootstrap 置信区间计算",
   "level": "l3"
  },
  "CAP_e836fdfd": {
   "en": "Interquartile Mean Aggregation",
   "zh": "四分位均值聚合",
   "level": "l3"
  },
  "CAP_68eb7d5d": {
   "en": "Performance Profile Generation",
   "zh": "性能曲线生成",
   "level": "l3"
  },
  "CAP_3acf66bf": {
   "en": "Probability of Improvement Estimation",
   "zh": "改进概率估计",
   "level": "l3"
  },
  "CAP_d992bbcb": {
   "en": "Relative Improvement Verdict",
   "zh": "相对改进判定",
   "level": "l3"
  },
  "CAP_f9b5548c": {
   "en": "Standardized Benchmark Baseline Comparison",
   "zh": "标准化基准基线对比",
   "level": "l2"
  },
  "CAP_628c30f4": {
   "en": "Meta-World Benchmark Instantiation",
   "zh": "Meta-World 基准套件实例化",
   "level": "l3"
  },
  "CAP_47cf7442": {
   "en": "Reference Baseline Algorithm Loading",
   "zh": "参考基线算法加载",
   "level": "l3"
  },
  "CAP_8651c228": {
   "en": "Per-Task Success Rate Aggregation",
   "zh": "逐任务成功率聚合",
   "level": "l3"
  },
  "CAP_3f214e35": {
   "en": "Per-Task Comparison Table Generation",
   "zh": "逐任务对照表生成",
   "level": "l3"
  },
  "CAP_f5946450": {
   "en": "Improvement Degradation Summary",
   "zh": "改进退化总结",
   "level": "l3"
  },
  "CAP_98fed04b": {
   "en": "Online A/B Field Experiment Comparison",
   "zh": "在线 A/B 田野实验对比",
   "level": "l2"
  },
  "CAP_6e567d2f": {
   "en": "Unit Condition Hash Assignment",
   "zh": "单元条件哈希分桶",
   "level": "l3"
  },
  "CAP_aa49a81f": {
   "en": "Experiment Namespace Management",
   "zh": "实验命名空间互斥管理",
   "level": "l3"
  },
  "CAP_d9688b9a": {
   "en": "KPI Outcome Logging",
   "zh": "KPI 结果日志记录",
   "level": "l3"
  },
  "CAP_730b157f": {
   "en": "Two-Sample Significance Test",
   "zh": "两样本显著性检验",
   "level": "l3"
  },
  "CAP_d5687b42": {
   "en": "Relative Uplift Quantification",
   "zh": "相对提升量化",
   "level": "l3"
  },
  "CAP_f247afdf": {
   "en": "Ship Rollback Verdict",
   "zh": "上线回滚判定",
   "level": "l3"
  },
  "CAP_faacad2e": {
   "en": "Decoupled Navigation Phase Orchestration",
   "zh": "解耦导航阶段编排",
   "level": "l2"
  },
  "CAP_e5db415b": {
   "en": "Decoupled Stop and Switch Phase Orchestration",
   "zh": "解耦停车与切换阶段编排",
   "level": "l2"
  },
  "CAP_d044bac6": {
   "en": "Decoupled Manipulation Phase Orchestration",
   "zh": "解耦操作阶段编排",
   "level": "l2"
  },
  "CAP_f37de71b": {
   "en": "Task Goal Parsing",
   "zh": "任务目标解析",
   "level": "l3"
  },
  "CAP_dc996c38": {
   "en": "Pre-grasp Base Pose Computation",
   "zh": "抓取前底盘位姿计算",
   "level": "l3"
  },
  "CAP_7d59dce5": {
   "en": "Navigate to Object Phase Execution",
   "zh": "导航到物体阶段执行",
   "level": "l3"
  },
  "CAP_b094339d": {
   "en": "Base Stop Synchronization Point",
   "zh": "底盘停车同步点",
   "level": "l3"
  },
  "CAP_86ef2afb": {
   "en": "Navigation Mode Switching to Manipulation",
   "zh": "导航到操作模式切换",
   "level": "l3"
  },
  "CAP_c4e6a71b": {
   "en": "Grasp Outcome Verification",
   "zh": "抓取结果验证",
   "level": "l3"
  },
  "CAP_c736591f": {
   "en": "Kinematic Modeling Phase Orchestration",
   "zh": "运动学建模阶段编排",
   "level": "l2"
  },
  "CAP_f0900157": {
   "en": "Classic Coordination Law Phase Orchestration",
   "zh": "经典协调律阶段编排",
   "level": "l2"
  },
  "CAP_9304ddc8": {
   "en": "Extended Jacobian Construction for Mobile Manipulator",
   "zh": "移动机械臂扩展雅可比构造",
   "level": "l3"
  },
  "CAP_4bede653": {
   "en": "Manipulability Measure Computation",
   "zh": "操作度测度计算",
   "level": "l3"
  },
  "CAP_3648e968": {
   "en": "Base Manipulability Tracking Coordination Law",
   "zh": "底盘操作度追踪协调律",
   "level": "l3"
  },
  "CAP_626b7446": {
   "en": "Task-Priority Redundancy Resolution for Mobile Manipulator",
   "zh": "移动机械臂任务优先级冗余度解析",
   "level": "l3"
  },
  "CAP_b7d0b8e5": {
   "en": "Coupled Base-Arm Velocity Command Generation",
   "zh": "耦合速度指令生成",
   "level": "l3"
  },
  "CAP_877048d1": {
   "en": "cuRobo Joint Trajectory Optimization",
   "zh": "cuRobo 联合轨迹优化",
   "level": "l3"
  },
  "CAP_13534f6e": {
   "en": "Hardware Setup and Calibration",
   "zh": "硬件搭建与标定",
   "level": "l2"
  },
  "CAP_473b29db": {
   "en": "Policy Training with Co-training",
   "zh": "策略训练与 Co-training",
   "level": "l2"
  },
  "CAP_145db2f6": {
   "en": "Autonomous Mobile Manipulation Execution",
   "zh": "自主移动操作执行",
   "level": "l2"
  },
  "CAP_0220742e": {
   "en": "Mobile ALOHA Hardware Assembly",
   "zh": "Mobile ALOHA 硬件装配",
   "level": "l3"
  },
  "CAP_3ef76c1d": {
   "en": "ROS Stack Configuration",
   "zh": "ROS 软件栈配置",
   "level": "l3"
  },
  "CAP_09d4457e": {
   "en": "Whole-Body Teleoperation Data Collection",
   "zh": "全身遥操作数据采集",
   "level": "l3"
  },
  "CAP_dbc5e9ff": {
   "en": "Whole-Body Action Space Construction",
   "zh": "整身动作空间构造",
   "level": "l3"
  },
  "CAP_81f91b46": {
   "en": "ACT Training for Mobile Manipulation",
   "zh": "移动操作 ACT 行为克隆训练",
   "level": "l3"
  },
  "CAP_1bcecb58": {
   "en": "Co-training with Static Data",
   "zh": "静态数据 Co-training",
   "level": "l3"
  },
  "CAP_cd584980": {
   "en": "Whole-Body Policy Inference",
   "zh": "整身策略推理",
   "level": "l3"
  },
  "CAP_b3bf19df": {
   "en": "Whole-Body Coordination Emergence",
   "zh": "整身协调涌现机制",
   "level": "l3"
  },
  "CAP_46076398": {
   "en": "Whole-Body Action Execution",
   "zh": "整身动作执行",
   "level": "l3"
  },
  "CAP_c0284f3e": {
   "en": "Batch-Constrained Q-learning Pipeline",
   "zh": "批约束 Q 学习管线",
   "level": "l2"
  },
  "CAP_28426a9e": {
   "en": "Bootstrapping Error Reduction Pipeline",
   "zh": "自举误差消减管线",
   "level": "l2"
  },
  "CAP_54723207": {
   "en": "Behavior Regularized AC Pipeline",
   "zh": "行为正则化 AC 管线",
   "level": "l2"
  },
  "CAP_3d8c04ed": {
   "en": "VAE Behavior Cloning",
   "zh": "VAE 行为克隆",
   "level": "l3"
  },
  "CAP_15500a77": {
   "en": "BCQ Perturbation Network",
   "zh": "BCQ 扰动网络",
   "level": "l3"
  },
  "CAP_186f6d18": {
   "en": "BCQ Perturbation Actor Update",
   "zh": "BCQ 扰动网络更新",
   "level": "l3"
  },
  "CAP_01551f31": {
   "en": "BCQ Candidate Action Filtering",
   "zh": "BCQ 候选动作过滤",
   "level": "l3"
  },
  "CAP_d9a8c780": {
   "en": "Discrete BCQ Action Filter",
   "zh": "离散 BCQ 动作过滤",
   "level": "l3"
  },
  "CAP_857066d4": {
   "en": "MMD Support Constraint",
   "zh": "MMD 支撑约束",
   "level": "l3"
  },
  "CAP_093039a8": {
   "en": "Lagrangian Dual Constraint Tuning",
   "zh": "Lagrangian 对偶约束调节",
   "level": "l3"
  },
  "CAP_ac46c9d8": {
   "en": "BEAR Ensemble Critic Update",
   "zh": "BEAR 集成 critic 更新",
   "level": "l3"
  },
  "CAP_75c58766": {
   "en": "BEAR Stochastic Actor Update",
   "zh": "BEAR 随机 actor 更新",
   "level": "l3"
  },
  "CAP_7b178b26": {
   "en": "BEAR Max-Q Action Selection",
   "zh": "BEAR max-Q 动作选择",
   "level": "l3"
  },
  "CAP_5fa4f2e3": {
   "en": "BRAC KL Primal Regularizer",
   "zh": "BRAC KL 原始正则化",
   "level": "l3"
  },
  "CAP_fda12a74": {
   "en": "BRAC Value Penalty",
   "zh": "BRAC 值罚",
   "level": "l3"
  },
  "CAP_681201af": {
   "en": "BRAC Dual Mode",
   "zh": "BRAC 对偶模式",
   "level": "l3"
  },
  "CAP_32f2be5f": {
   "en": "BRAC Max-Q Evaluation",
   "zh": "BRAC max-Q 评测",
   "level": "l3"
  },
  "CAP_edec12e4": {
   "en": "Data-Driven SOH and RUL Estimation",
   "zh": "数据驱动 SOH 与 RUL 估计",
   "level": "l2"
  },
  "CAP_3cd6f991": {
   "en": "Cycle Data Aggregation",
   "zh": "循环数据聚合",
   "level": "l3"
  },
  "CAP_0f7f0213": {
   "en": "Battery Cycle Feature Extraction",
   "zh": "电池循环特征提取",
   "level": "l3"
  },
  "CAP_cb1c1f07": {
   "en": "SOH Regression Model Training",
   "zh": "SOH 回归模型训练",
   "level": "l3"
  },
  "CAP_1e35be9f": {
   "en": "Remaining Useful Life Prediction",
   "zh": "剩余循环寿命预测",
   "level": "l3"
  },
  "CAP_fc82e0ff": {
   "en": "Prediction Metrics Evaluation and Output",
   "zh": "预测指标评估与结果输出",
   "level": "l3"
  },
  "CAP_5517ece8": {
   "en": "Physics-Based Battery Health Diagnostics",
   "zh": "基于物理模型的电池健康诊断",
   "level": "l2"
  },
  "CAP_097e540a": {
   "en": "PyBaMM Electrochemical DFN Simulation",
   "zh": "PyBaMM 电化学 DFN 模型求解",
   "level": "l3"
  },
  "CAP_75ca4bf3": {
   "en": "Electrochemical SEI & Degradation Dynamics Modeling",
   "zh": "电化学 SEI 膜与退化动力学建模",
   "level": "l3"
  },
  "CAP_e35bd571": {
   "en": "ProgPy UKF/PF Nonlinear State Estimation",
   "zh": "ProgPy UKF/PF 非线性状态估计",
   "level": "l3"
  },
  "CAP_d8b3565d": {
   "en": "Battery SOH Mechanism Isolation & Diagnostics",
   "zh": "电池 SOH 机理隔离与健康诊断",
   "level": "l3"
  },
  "CAP_93ff1c0f": {
   "en": "Uncertain RUL Monte Carlo Prediction",
   "zh": "基于不确定性传播的 RUL 蒙特卡洛预测",
   "level": "l3"
  },
  "CAP_a77e9db2": {
   "en": "Incremental Capacity Filtering and Differentiation",
   "zh": "增量容量滤波与微分计算",
   "level": "l2"
  },
  "CAP_87fe883b": {
   "en": "ICA Peak Extraction and Parameterization",
   "zh": "ICA 极值峰提取与参数化",
   "level": "l2"
  },
  "CAP_b58023bd": {
   "en": "Battery Aging Diagnosis and SOH Estimation",
   "zh": "电池退化诊断与健康状态估算",
   "level": "l2"
  },
  "CAP_9d217ae8": {
   "en": "Battery Cycling Data Parsing",
   "zh": "电池循环数据解析与清洗",
   "level": "l3"
  },
  "CAP_8378968e": {
   "en": "Constant Current Phase Extraction",
   "zh": "恒流充放电工况段提取",
   "level": "l3"
  },
  "CAP_cc2f0902": {
   "en": "Savitzky Golay ICA Smoothing",
   "zh": "SG平滑滤波增量容量处理",
   "level": "l3"
  },
  "CAP_d74507ff": {
   "en": "dQdV Numerical Differentiation",
   "zh": "dQ/dV 数值微分计算",
   "level": "l3"
  },
  "CAP_a6cb84c4": {
   "en": "IC Peak Detection",
   "zh": "增量容量极值峰自动识别",
   "level": "l3"
  },
  "CAP_f7faf2ec": {
   "en": "Pseudo Voigt Peak Deconvolution",
   "zh": "Pseudo-Voigt 峰形解卷与拟合",
   "level": "l3"
  },
  "CAP_dfb76315": {
   "en": "ICA Based SOH Estimation",
   "zh": "基于增量容量特征的 SOH 估算",
   "level": "l3"
  },
  "CAP_c1dcae77": {
   "en": "Degradation Mode Identification",
   "zh": "电池退化机理 (LLI/LAM) 辨识",
   "level": "l3"
  },
  "CAP_fca2fb53": {
   "en": "ECM EKF Closed-Loop SOC Estimation",
   "zh": "ECM EKF闭环SOC估计",
   "level": "l2"
  },
  "CAP_931d1d5c": {
   "en": "Deep Learning SOC Estimation",
   "zh": "深度学习SOC估计",
   "level": "l2"
  },
  "CAP_2a8d0545": {
   "en": "Battery Parameter Calibration",
   "zh": "电池参数标定",
   "level": "l3"
  },
  "CAP_752bc051": {
   "en": "OCV Rest Calibration",
   "zh": "OCV静置校准重置",
   "level": "l3"
  },
  "CAP_54652776": {
   "en": "SOC Output and Alarm",
   "zh": "SOC输出与告警",
   "level": "l3"
  },
  "CAP_0f360477": {
   "en": "ECM State Definition",
   "zh": "等效电路模型状态定义",
   "level": "l3"
  },
  "CAP_ad247ef9": {
   "en": "ECM Online Parameter Identification",
   "zh": "ECM在线参数辨识",
   "level": "l3"
  },
  "CAP_4f3e6b02": {
   "en": "Battery EKF State Estimation",
   "zh": "电池EKF状态估计",
   "level": "l3"
  },
  "CAP_7d5b2f75": {
   "en": "SOC Estimation Model Training",
   "zh": "SOC估计模型训练",
   "level": "l3"
  },
  "CAP_10fc1314": {
   "en": "SOC Model Online Inference",
   "zh": "SOC模型在线推理",
   "level": "l3"
  },
  "CAP_46e95918": {
   "en": "Analytical Trajectory Optimization Batting",
   "zh": "解析轨迹优化挥击",
   "level": "l2"
  },
  "CAP_24ae84f9": {
   "en": "High-Speed Ball Trajectory Prediction",
   "zh": "高速来球轨迹预测",
   "level": "l3"
  },
  "CAP_91f2b2a8": {
   "en": "Batting Target Inversion",
   "zh": "击打目标逆解",
   "level": "l3"
  },
  "CAP_7582e9fd": {
   "en": "Contact Impulse End-Effector Velocity Solve",
   "zh": "接触冲量末端速度反解",
   "level": "l3"
  },
  "CAP_e65615ac": {
   "en": "Swing Trajectory NLP Optimization",
   "zh": "挥击轨迹非线性优化",
   "level": "l3"
  },
  "CAP_4af839a3": {
   "en": "High-Speed Torque Execution",
   "zh": "高速力矩执行",
   "level": "l3"
  },
  "CAP_1a45de35": {
   "en": "Hit Moment Trigger",
   "zh": "击打时刻触发",
   "level": "l3"
  },
  "CAP_7bef81c5": {
   "en": "Post-Hit Deceleration Recovery",
   "zh": "击打后制动恢复",
   "level": "l3"
  },
  "CAP_eecb5d38": {
   "en": "Known External Force Feedforward Compensation",
   "zh": "已知外力前馈补偿",
   "level": "l3"
  },
  "CAP_49854dd8": {
   "en": "Learning-Based Batting Pipeline",
   "zh": "学习型挥击流水线",
   "level": "l2"
  },
  "CAP_0a3c293a": {
   "en": "Ball Trajectory Observation",
   "zh": "来球轨迹观测",
   "level": "l3"
  },
  "CAP_464e77c3": {
   "en": "Goal Embedding",
   "zh": "目标编码",
   "level": "l3"
  },
  "CAP_3442f9d8": {
   "en": "Goal-Conditioned Policy Inference",
   "zh": "目标条件策略推理",
   "level": "l3"
  },
  "CAP_826026f0": {
   "en": "Swing Trajectory Generation",
   "zh": "挥击轨迹生成",
   "level": "l3"
  },
  "CAP_19202539": {
   "en": "Cartesian Impedance Batting Execution",
   "zh": "笛卡尔阻抗挥击执行",
   "level": "l3"
  },
  "CAP_099031f1": {
   "en": "Hit Event Detection",
   "zh": "击打事件检测",
   "level": "l3"
  },
  "CAP_1cd031a6": {
   "en": "Landing Point Feedback",
   "zh": "落点反馈采集",
   "level": "l3"
  },
  "CAP_296dda10": {
   "en": "Iterative Imitation Update",
   "zh": "迭代模仿更新",
   "level": "l3"
  },
  "CAP_64d2d695": {
   "en": "Supervised Behavioral Cloning Policy Training",
   "zh": "监督式行为克隆策略训练",
   "level": "l3"
  },
  "CAP_d6662c61": {
   "en": "Hierarchical Competitive Batting Pipeline",
   "zh": "分层竞技击打流水线",
   "level": "l2"
  },
  "CAP_f279e896": {
   "en": "Ball State and Spin Estimation",
   "zh": "球状态与旋转估计",
   "level": "l3"
  },
  "CAP_8597ad65": {
   "en": "Opponent Level Estimation",
   "zh": "对手水平估计",
   "level": "l3"
  },
  "CAP_9aeea91d": {
   "en": "Style Selection Policy",
   "zh": "风格选择策略",
   "level": "l3"
  },
  "CAP_d3fdee0d": {
   "en": "LLC Descriptor Query",
   "zh": "LLC 技能描述符查询",
   "level": "l3"
  },
  "CAP_136c13cf": {
   "en": "Gradient Bandit LLC Selection",
   "zh": "梯度赌徒 LLC 选择",
   "level": "l3"
  },
  "CAP_47e33bdb": {
   "en": "Sim2Sim Adaptation Layer",
   "zh": "仿真到仿真适配层",
   "level": "l3"
  },
  "CAP_fd8b77a9": {
   "en": "LLC Strategy Execution",
   "zh": "LLC 策略执行",
   "level": "l3"
  },
  "CAP_a31576a8": {
   "en": "Match Statistics Tracking",
   "zh": "比赛统计追踪",
   "level": "l3"
  },
  "CAP_e2c0fdf6": {
   "en": "Online H-Value Adaptation",
   "zh": "在线 H 值适应",
   "level": "l3"
  },
  "CAP_ea547453": {
   "en": "Recursive Bayesian Filter and Expected Utility Action Selection",
   "zh": "递归贝叶斯滤波与期望效用动作选择",
   "level": "l2"
  },
  "CAP_4b7d1ae2": {
   "en": "Bayesian Prior Belief Initialization",
   "zh": "贝叶斯先验信念初始化",
   "level": "l3"
  },
  "CAP_51f89a9a": {
   "en": "Bayes Filter Prediction Step",
   "zh": "贝叶斯滤波预测步",
   "level": "l3"
  },
  "CAP_ba145095": {
   "en": "Bayes Filter Update Step",
   "zh": "贝叶斯滤波更新步",
   "level": "l3"
  },
  "CAP_a4ab4ce4": {
   "en": "Multi-Hypothesis Belief Maintenance",
   "zh": "多假设信念维护",
   "level": "l3"
  },
  "CAP_1bcfb6bf": {
   "en": "Expected Utility Computation",
   "zh": "期望效用计算",
   "level": "l3"
  },
  "CAP_a34d1609": {
   "en": "Bayesian Optimal Action Selection",
   "zh": "贝叶斯最优动作选择",
   "level": "l3"
  },
  "CAP_96e88f36": {
   "en": "State Space and Prior Modeling",
   "zh": "状态空间与先验建模",
   "level": "l2"
  },
  "CAP_b25d0071": {
   "en": "Bayesian Filter Prediction",
   "zh": "贝叶斯滤波预测",
   "level": "l2"
  },
  "CAP_87cb0468": {
   "en": "Posterior Approximation",
   "zh": "后验近似",
   "level": "l2"
  },
  "CAP_c46301f3": {
   "en": "Expected Utility Calculation",
   "zh": "期望效用计算",
   "level": "l2"
  },
  "CAP_d6216679": {
   "en": "Recursive Bayesian Estimation",
   "zh": "递归贝叶斯估计",
   "level": "l2"
  },
  "CAP_bcd5c6b6": {
   "en": "Expected Utility Maximization",
   "zh": "期望效用最大化",
   "level": "l2"
  },
  "CAP_1f15f197": {
   "en": "Optimal Action Selection",
   "zh": "最优动作选择",
   "level": "l3"
  },
  "CAP_498aff5d": {
   "en": "Action Execution and Loop Closure",
   "zh": "动作执行与闭环",
   "level": "l3"
  },
  "CAP_1d442cc8": {
   "en": "Active Inference Expected Free Energy Minimization",
   "zh": "主动推理期望自由能最小化",
   "level": "l2"
  },
  "CAP_f17bff01": {
   "en": "Active Inference Variational State Inference",
   "zh": "主动推理变分状态推断",
   "level": "l3"
  },
  "CAP_a3a0b6a0": {
   "en": "Expected Free Energy Computation",
   "zh": "期望自由能计算",
   "level": "l3"
  },
  "CAP_13393d57": {
   "en": "Variational BNN Inference",
   "zh": "变分贝叶斯神经网络推断",
   "level": "l2"
  },
  "CAP_272ba362": {
   "en": "MC Dropout Bayesian Approximation",
   "zh": "MC Dropout 贝叶斯近似",
   "level": "l2"
  },
  "CAP_8301067e": {
   "en": "MCMC Bayesian Posterior Inference",
   "zh": "MCMC 贝叶斯后验推断",
   "level": "l2"
  },
  "CAP_8bb104af": {
   "en": "Post-hoc Laplace Approximation",
   "zh": "后验拉普拉斯近似",
   "level": "l2"
  },
  "CAP_86e0f0f7": {
   "en": "Variational Weight Reparameterization Layer",
   "zh": "变分权重重参数化层",
   "level": "l3"
  },
  "CAP_29085285": {
   "en": "ELBO Bayes-by-Backprop Training",
   "zh": "ELBO 贝叶斯反传训练",
   "level": "l3"
  },
  "CAP_72289e36": {
   "en": "BNN Posterior Predictive by Weight Sampling",
   "zh": "BNN 权重采样后验预测",
   "level": "l3"
  },
  "CAP_d7e8be49": {
   "en": "Consistent MC Dropout Mask Management",
   "zh": "一致性 MC Dropout 掩码管理",
   "level": "l3"
  },
  "CAP_3260f781": {
   "en": "MC Dropout Predictive Moments Estimation",
   "zh": "MC Dropout 预测矩估计",
   "level": "l3"
  },
  "CAP_a490df6d": {
   "en": "Probabilistic Model Declaration with Priors",
   "zh": "带先验的概率模型声明",
   "level": "l3"
  },
  "CAP_b73b16cc": {
   "en": "MCMC Convergence Diagnosis",
   "zh": "MCMC 收敛诊断",
   "level": "l3"
  },
  "CAP_f807e90b": {
   "en": "Trained Network MAP Checkpoint Loading",
   "zh": "训练网络 MAP 检查点加载",
   "level": "l3"
  },
  "CAP_2cb8977e": {
   "en": "Hessian Factorization Computation",
   "zh": "Hessian 因子分解计算",
   "level": "l3"
  },
  "CAP_fbbf9db3": {
   "en": "Laplace Posterior Fit",
   "zh": "拉普拉斯后验拟合",
   "level": "l3"
  },
  "CAP_2d7c2426": {
   "en": "Laplace Posterior Predictive",
   "zh": "拉普拉斯后验预测",
   "level": "l3"
  },
  "CAP_cf61cc93": {
   "en": "Open-Vocabulary Detection",
   "zh": "开放词表目标检测",
   "level": "l3"
  },
  "CAP_2a32063c": {
   "en": "Object Mask Refinement (LangSAM)",
   "zh": "物体掩码细化 (LangSAM)",
   "level": "l3"
  },
  "CAP_2cd8ef88": {
   "en": "SAM Box Prompt Image Segmentation",
   "zh": "SAM 框提示图像分割",
   "level": "l2"
  },
  "CAP_0d6d8453": {
   "en": "SAM Box Prompt Encoding",
   "zh": "SAM 框提示编码",
   "level": "l3"
  },
  "CAP_b6ecdc46": {
   "en": "Lightweight SAM Box Prompt Deployment",
   "zh": "轻量化 SAM 框提示部署",
   "level": "l3"
  },
  "CAP_e365ccf1": {
   "en": "GrabCut Box-Initialized Segmentation",
   "zh": "GrabCut 框初始化分割",
   "level": "l2"
  },
  "CAP_58f85242": {
   "en": "GrabCut Box Mask Initialization",
   "zh": "GrabCut 框初始化掩码",
   "level": "l3"
  },
  "CAP_3d84e52b": {
   "en": "GMM Color Modeling",
   "zh": "GMM 颜色建模",
   "level": "l3"
  },
  "CAP_abab5110": {
   "en": "Graph Cut Energy Minimization",
   "zh": "图割能量最小化",
   "level": "l3"
  },
  "CAP_a9c6a027": {
   "en": "GrabCut Iterative Refinement",
   "zh": "GrabCut 迭代精化",
   "level": "l3"
  },
  "CAP_274762d4": {
   "en": "Box-Supervised Mask Prediction",
   "zh": "框监督掩码预测",
   "level": "l2"
  },
  "CAP_a4c34378": {
   "en": "Box Annotation Data Preparation",
   "zh": "框标注数据准备",
   "level": "l3"
  },
  "CAP_de7f9c99": {
   "en": "Weakly-Supervised Mask Prediction",
   "zh": "弱监督掩码预测",
   "level": "l3"
  },
  "CAP_73b76fa4": {
   "en": "Weakly-Supervised Loss Computation",
   "zh": "弱监督损失计算",
   "level": "l3"
  },
  "CAP_6e8c1912": {
   "en": "SAM 2 Box-Init Video Segmentation",
   "zh": "SAM 2 框初始化视频分割",
   "level": "l2"
  },
  "CAP_4a37a8f0": {
   "en": "SAM 2 Video State Initialization",
   "zh": "SAM 2 视频状态初始化",
   "level": "l3"
  },
  "CAP_aaf5fc2d": {
   "en": "SAM 2 Streaming Memory Propagation",
   "zh": "SAM 2 流式记忆传播",
   "level": "l3"
  },
  "CAP_a722c7b7": {
   "en": "SAMURAI Motion-Aware Tracking",
   "zh": "SAMURAI 运动感知跟踪",
   "level": "l3"
  },
  "CAP_37c46515": {
   "en": "Expert Demonstration Loading and Batching",
   "zh": "专家演示数据加载与批量化",
   "level": "l3"
  },
  "CAP_aa337786": {
   "en": "Covariate Shift Mitigation for BC",
   "zh": "行为克隆协变量偏移缓解",
   "level": "l3"
  },
  "CAP_c3e10088": {
   "en": "Implicit Action Inference via Energy Minimization",
   "zh": "隐式动作推理（能量最小化）",
   "level": "l3"
  },
  "CAP_21d2ac1a": {
   "en": "PolicyNetworkConstruction",
   "zh": "策略网络构建",
   "level": "l3"
  },
  "CAP_b438d9ce": {
   "en": "Task Event Stream Subscription",
   "zh": "任务事件流订阅",
   "level": "l3"
  },
  "CAP_ba1be792": {
   "en": "Online Trust Estimation",
   "zh": "在线信任估计",
   "level": "l3"
  },
  "CAP_ef01279f": {
   "en": "Trust Belief Distribution Estimation",
   "zh": "信任信念分布估计",
   "level": "l3"
  },
  "CAP_281d2f42": {
   "en": "Trust Estimator",
   "zh": "信任估计器",
   "level": "l3"
  },
  "CAP_e65006f4": {
   "en": "Trust-Specific Behavioral Indicator Computation",
   "zh": "信任专用行为指标计算",
   "level": "l3"
  },
  "CAP_3f6c168e": {
   "en": "Latent Trust Indicator Inference",
   "zh": "潜在信任指标推断",
   "level": "l3"
  },
  "CAP_ee69df36": {
   "en": "Hesitation Detection",
   "zh": "迟疑检测",
   "level": "l3"
  },
  "CAP_fd8ad450": {
   "en": "Behavioral Event Log Acquisition and Time Series Construction",
   "zh": "行为事件日志采集与时间序列构建",
   "level": "l3"
  },
  "CAP_2a3b4c5d": {
   "en": "Teleoperation Behavioral Logging",
   "zh": "遥操作行为信号记录",
   "level": "l3"
  },
  "CAP_7c01e366": {
   "en": "Human-Gated Teleoperation for HG-DAgger",
   "zh": "人控接管HG-DAgger遥操作",
   "level": "l3"
  },
  "CAP_4dd4b555": {
   "en": "Behavioral Data Acquisition and Observation Modeling",
   "zh": "行为数据采集与观测建模",
   "level": "l2"
  },
  "CAP_a5d6631b": {
   "en": "Marked Point Process Observation Modeling",
   "zh": "标记点过程观测建模",
   "level": "l3"
  },
  "CAP_6b72fc1f": {
   "en": "Online Performance Assessment and Early Warning",
   "zh": "在线绩效判定与提前预警",
   "level": "l3"
  },
  "CAP_48b2f223": {
   "en": "Multimodal Behavioral Data Fusion",
   "zh": "多模态行为数据融合",
   "level": "l3"
  },
  "CAP_e5bcf6ff": {
   "en": "Marked Point Process Performance State Decoding",
   "zh": "标记点过程绩效状态解码",
   "level": "l3"
  },
  "CAP_eb218d01": {
   "en": "Behavioral Indicator Capture",
   "zh": "行为指标采集",
   "level": "l3"
  },
  "CAP_9902eef4": {
   "en": "Trust Capability Gap Assessment",
   "zh": "信任-能力缺口评估",
   "level": "l2"
  },
  "CAP_82706c11": {
   "en": "Robot Health Assessment",
   "zh": "机器人健康评估",
   "level": "l3"
  },
  "CAP_6b311e94": {
   "en": "Task Difficulty Quantification",
   "zh": "任务难度量化",
   "level": "l3"
  },
  "CAP_053e6000": {
   "en": "Autonomy Level Regulation",
   "zh": "自主等级调节",
   "level": "l2"
  },
  "CAP_cfa6c19a": {
   "en": "Level of Autonomy Selection",
   "zh": "自主等级选择",
   "level": "l3"
  },
  "CAP_aba1134f": {
   "en": "Shared Autonomy Action Arbitration",
   "zh": "共享自主动作仲裁",
   "level": "l3"
  },
  "CAP_df741270": {
   "en": "Assurance HMI Configuration",
   "zh": "保证 HMI 配置",
   "level": "l3"
  },
  "CAP_fcbabb71": {
   "en": "Closed Loop Effect Evaluation",
   "zh": "闭环效果评估",
   "level": "l2"
  },
  "CAP_4f41b09a": {
   "en": "Behavioral Effect Monitoring",
   "zh": "行为效果监测",
   "level": "l3"
  },
  "CAP_481282fc": {
   "en": "Assistance Parameter Update",
   "zh": "辅助策略参数更新",
   "level": "l3"
  },
  "CAP_6974bb22": {
   "en": "Inhibit Suppress Arbitration",
   "zh": "抑制/遮蔽固定优先级仲裁",
   "level": "l2"
  },
  "CAP_888aa5c1": {
   "en": "Suppression Inhibition Arbitration",
   "zh": "抑制禁止仲裁",
   "level": "l3"
  },
  "CAP_097065c5": {
   "en": "Layer Suppression and Inhibition",
   "zh": "层间抑制与禁止仲裁",
   "level": "l3"
  },
  "CAP_0a31c26e": {
   "en": "Subsumption Layer Arbitration",
   "zh": "包容层次优先级仲裁",
   "level": "l2"
  },
  "CAP_f8719e8c": {
   "en": "Subsumption Layer Priority Definition",
   "zh": "包容层次优先级定义",
   "level": "l3"
  },
  "CAP_e5c8722e": {
   "en": "Subsumption Behavior-Based Reactive Navigation",
   "zh": "包容式行为基于反应导航",
   "level": "l2"
  },
  "CAP_ccfe8522": {
   "en": "Augmented Finite State Machine",
   "zh": "增强有限状态机",
   "level": "l3"
  },
  "CAP_28b6bde9": {
   "en": "Avoidance AFSM",
   "zh": "避障 AFSM",
   "level": "l3"
  },
  "CAP_b7841379": {
   "en": "Explore AFSM Behavior",
   "zh": "探索 AFSM 行为",
   "level": "l3"
  },
  "CAP_699867a3": {
   "en": "Reactive Behavior Layer Computation",
   "zh": "反应式行为层计算",
   "level": "l3"
  },
  "CAP_0ca3eb06": {
   "en": "Subsumption Motor Command Dispatch",
   "zh": "包容式电机指令分发",
   "level": "l2"
  },
  "CAP_2e88d482": {
   "en": "Arbitrated Behavior Speed Command",
   "zh": "仲裁行为速度指令",
   "level": "l3"
  },
  "CAP_3416e014": {
   "en": "Reactive Command Fusion and Output",
   "zh": "反应式指令融合与输出",
   "level": "l3"
  },
  "CAP_98f554be": {
   "en": "Subsumption Reflex Behavior Layer",
   "zh": "包容式反射行为层",
   "level": "l3"
  },
  "CAP_bc4c0bc8": {
   "en": "Sensor Data Acquisition and Distribution",
   "zh": "传感器数据采集与分发",
   "level": "l3"
  },
  "CAP_972b101c": {
   "en": "Wander AFSM with Suppression",
   "zh": "漫游行为AFSM与抑制信号",
   "level": "l3"
  },
  "CAP_6b6abbd8": {
   "en": "Interval Programming Multi-objective Behavior Selection",
   "zh": "区间规划多目标行为选择",
   "level": "l3"
  },
  "CAP_0df5ac97": {
   "en": "IvP Utility Function Construction",
   "zh": "IvP 效用函数构建",
   "level": "l3"
  },
  "CAP_f450212f": {
   "en": "Behavior Utility Evaluation",
   "zh": "行为效用评估",
   "level": "l3"
  },
  "CAP_1d477f32": {
   "en": "LLM Skill Relevance Scoring",
   "zh": "LLM 技能相关性评分",
   "level": "l3"
  },
  "CAP_f39ebbe7": {
   "en": "Behavior Tree Reactive Priority Arbitration",
   "zh": "行为树反应式优先级仲裁",
   "level": "l3"
  },
  "CAP_252338b6": {
   "en": "Reactive Condition-Triggered Branch Switching",
   "zh": "条件触发反应式分支切换",
   "level": "l3"
  },
  "CAP_9e05ba8f": {
   "en": "Fallback Priority Winner-Take-All Arbitration",
   "zh": "Fallback 优先级胜者通吃仲裁",
   "level": "l3"
  },
  "CAP_41603912": {
   "en": "Reactive Sequence Condition Gating",
   "zh": "反应式序列条件门控",
   "level": "l3"
  },
  "CAP_d8e99e5c": {
   "en": "BT Retry/Repeat Counter Decorators",
   "zh": "BT 重试重复计数器装饰器",
   "level": "l3"
  },
  "CAP_b570e502": {
   "en": "BT Reactive Failure Recovery",
   "zh": "BT 反应式失败恢复",
   "level": "l3"
  },
  "CAP_0ed6cc3c": {
   "en": "BT RoundRobin Cycling with Position Memory",
   "zh": "BT RoundRobin 轮流 tick 与位置记忆",
   "level": "l3"
  },
  "CAP_f9298be8": {
   "en": "Auction Capability Role Assignment",
   "zh": "拍卖能力角色分配",
   "level": "l3"
  },
  "CAP_ec12d524": {
   "en": "HFSM State Transition Arbitration",
   "zh": "分层状态机转换仲裁",
   "level": "l3"
  },
  "CAP_bee8ffa5": {
   "en": "HFSM Runtime Instantiation and Scheduling",
   "zh": "HFSM运行时实例化与调度",
   "level": "l3"
  },
  "CAP_51ee8740": {
   "en": "HFSM Compound State Definition",
   "zh": "HFSM复合状态定义",
   "level": "l3"
  },
  "CAP_c2d0320e": {
   "en": "FlexBE WebUI Visual Editing",
   "zh": "FlexBE WebUI可视化编辑与运行时监控",
   "level": "l3"
  },
  "CAP_5fb4338c": {
   "en": "IvP Multi-objective Utility Arbitration",
   "zh": "IvP 多目标效用仲裁",
   "level": "l2"
  },
  "CAP_aa0ca426": {
   "en": "Motor Schema Velocity Computation",
   "zh": "Motor Schema 速度向量计算",
   "level": "l3"
  },
  "CAP_4e4cd291": {
   "en": "IT&E Adaptation Convergence Check",
   "zh": "IT&E 适应收敛判据",
   "level": "l3"
  },
  "CAP_5a58b481": {
   "en": "GP-Based Behavior Policy Search",
   "zh": "GP 模型行为策略搜索",
   "level": "l2"
  },
  "CAP_4c8b2d6e": {
   "en": "Sparse GP Forward Dynamics Regression",
   "zh": "稀疏 GP 前向动力学回归",
   "level": "l3"
  },
  "CAP_70571b24": {
   "en": "GP Hyperparameter Marginal Likelihood Optimization",
   "zh": "GP 超参边际似然优化",
   "level": "l3"
  },
  "CAP_5f6f77a7": {
   "en": "Analytic Moment-Matching Trajectory Propagation",
   "zh": "解析矩匹配轨迹传播",
   "level": "l3"
  },
  "CAP_2a3424ea": {
   "en": "Expected Reward Computation over State Distribution",
   "zh": "状态分布期望奖励计算",
   "level": "l3"
  },
  "CAP_f17afa2b": {
   "en": "Analytic Gradient Behavior Policy Optimization",
   "zh": "GP 解析梯度行为策略优化",
   "level": "l3"
  },
  "CAP_8976f112": {
   "en": "Policy Execution and Data Augmentation",
   "zh": "策略执行与数据增广",
   "level": "l3"
  },
  "CAP_ab198589": {
   "en": "Runtime Behavior Parameter Tuning",
   "zh": "运行时行为参数调优",
   "level": "l2"
  },
  "CAP_282c2104": {
   "en": "Nav2 Critic Weight Configuration",
   "zh": "Nav2 Critic 权重配置",
   "level": "l3"
  },
  "CAP_b091a8a7": {
   "en": "rqt reconfigure GUI Tuning",
   "zh": "rqt reconfigure GUI 调参",
   "level": "l3"
  },
  "CAP_48c83380": {
   "en": "Navigation Performance Monitoring",
   "zh": "导航性能监控",
   "level": "l3"
  },
  "CAP_7ed9cf8c": {
   "en": "Tuning Objective Evaluation",
   "zh": "调参目标评估",
   "level": "l3"
  },
  "CAP_51d14acc": {
   "en": "Weight Adjustment Heuristic",
   "zh": "权重调整启发式",
   "level": "l3"
  },
  "CAP_0fedef2f": {
   "en": "Behavior Safety Layer",
   "zh": "行为安全层",
   "level": "l1"
  },
  "CAP_43d42aea": {
   "en": "RSS Formal Behavior Verification",
   "zh": "RSS 形式化行为安全验证",
   "level": "l2"
  },
  "CAP_2d7e96d7": {
   "en": "ODD Conformance MRC Fallback",
   "zh": "ODD 边界监控与 MRC 回退",
   "level": "l2"
  },
  "CAP_9b0a2822": {
   "en": "Safety Rule Decorator Configuration",
   "zh": "安全规则 Decorator 配置",
   "level": "l3"
  },
  "CAP_fcbd44f0": {
   "en": "Behavior Candidate Extraction from Planner",
   "zh": "行为规划候选提取",
   "level": "l3"
  },
  "CAP_fa171679": {
   "en": "Runtime Safety Rule Evaluation",
   "zh": "运行时安全规则评估",
   "level": "l3"
  },
  "CAP_68f63cff": {
   "en": "Safety Gate Decision",
   "zh": "安全门控决策",
   "level": "l3"
  },
  "CAP_295c9045": {
   "en": "Fallback Behavior Dispatch",
   "zh": "回退行为分发",
   "level": "l3"
  },
  "CAP_85a2670f": {
   "en": "Safety Distance Formula Setup",
   "zh": "安全距离公式建立",
   "level": "l3"
  },
  "CAP_c9502fbb": {
   "en": "Behavior Outcome Forward Prediction",
   "zh": "行为结果前向预测",
   "level": "l3"
  },
  "CAP_4f0595cf": {
   "en": "Longitudinal Lateral Safety Distance Check",
   "zh": "纵横向安全距离验证",
   "level": "l3"
  },
  "CAP_c427e096": {
   "en": "Safety Violation Determination",
   "zh": "安全违反判定",
   "level": "l3"
  },
  "CAP_d417a1f3": {
   "en": "Behavior Modification and Dispatch",
   "zh": "行为修正与下发",
   "level": "l3"
  },
  "CAP_b66b89da": {
   "en": "MRC Trigger Decision",
   "zh": "MRC 触发决策",
   "level": "l3"
  },
  "CAP_40f11c84": {
   "en": "Minimal Risk Condition Execution",
   "zh": "最小风险条件执行",
   "level": "l3"
  },
  "CAP_8d94e308": {
   "en": "BDI Belief Management",
   "zh": "BDI 信念管理",
   "level": "l2"
  },
  "CAP_4d7ca2d5": {
   "en": "BDI Plan Selection",
   "zh": "BDI 计划选择",
   "level": "l2"
  },
  "CAP_d05cc9b8": {
   "en": "Triggering Event Matching",
   "zh": "触发事件匹配",
   "level": "l3"
  },
  "CAP_2ff0e92d": {
   "en": "Applicable Plan Selection",
   "zh": "可适用计划选择",
   "level": "l3"
  },
  "CAP_f7d8129e": {
   "en": "Intention Creation",
   "zh": "意图创建",
   "level": "l3"
  },
  "CAP_38085fca": {
   "en": "BDI Intention Execution",
   "zh": "BDI 意图执行",
   "level": "l2"
  },
  "CAP_5f0ae2ef": {
   "en": "Plan Body Step Execution",
   "zh": "计划体单步执行",
   "level": "l3"
  },
  "CAP_770a6fd6": {
   "en": "Intention Revision",
   "zh": "意图修正",
   "level": "l3"
  },
  "CAP_6c7f4fbd": {
   "en": "Learning Phase Configuration",
   "zh": "学习阶段配置",
   "level": "l2"
  },
  "CAP_fb4a8cd0": {
   "en": "Hard and Soft Plan Definition",
   "zh": "硬计划与软计划定义",
   "level": "l3"
  },
  "CAP_310a73ff": {
   "en": "RL State-Action-Reward Mapping",
   "zh": "RL 状态-动作-奖励映射",
   "level": "l3"
  },
  "CAP_01f6ee8e": {
   "en": "RL Training in BDI Loop",
   "zh": "BDI 循环内 RL 训练",
   "level": "l2"
  },
  "CAP_7427ee2d": {
   "en": "Epsilon-Greedy Action Selection",
   "zh": "Epsilon-贪心动作选择",
   "level": "l3"
  },
  "CAP_7ba48169": {
   "en": "Intention-Wrapped Action Execution",
   "zh": "意图封装动作执行",
   "level": "l3"
  },
  "CAP_80573778": {
   "en": "SARSA Q-Value Update",
   "zh": "SARSA Q 值更新",
   "level": "l3"
  },
  "CAP_4ad4e473": {
   "en": "Learned Plan Integration",
   "zh": "学习计划集成",
   "level": "l2"
  },
  "CAP_3364791a": {
   "en": "Soft Plan Promotion",
   "zh": "软计划提升",
   "level": "l3"
  },
  "CAP_08f9bae4": {
   "en": "Hybrid Agent Assessment",
   "zh": "混合智能体评估",
   "level": "l3"
  },
  "CAP_2c8a1676": {
   "en": "Environment Artifact Modeling",
   "zh": "环境制品建模",
   "level": "l2"
  },
  "CAP_e1f6502d": {
   "en": "CArtAgO Artifact Definition",
   "zh": "CArtAgO 制品定义",
   "level": "l3"
  },
  "CAP_2a06f48a": {
   "en": "ROS HwBridge Configuration",
   "zh": "ROS 硬件桥配置",
   "level": "l3"
  },
  "CAP_d70b3cc3": {
   "en": "Perception-Belief Coupling",
   "zh": "感知-信念耦合",
   "level": "l2"
  },
  "CAP_3c792471": {
   "en": "Artifact Property Observation",
   "zh": "制品属性观察",
   "level": "l3"
  },
  "CAP_fa2d3676": {
   "en": "Percept-to-Belief Translation",
   "zh": "感知到信念转换",
   "level": "l3"
  },
  "CAP_bac105f4": {
   "en": "Intention-Action ROS Execution",
   "zh": "意图-动作 ROS 执行",
   "level": "l2"
  },
  "CAP_7ce6e8f9": {
   "en": "Plan-Based Action Generation",
   "zh": "基于计划的动作生成",
   "level": "l3"
  },
  "CAP_b47eb452": {
   "en": "ROS Action Publication",
   "zh": "ROS 动作发布",
   "level": "l3"
  },
  "CAP_d4ed25d6": {
   "en": "Point-Based POMDP Value Iteration",
   "zh": "点基 POMDP 值迭代",
   "level": "l2"
  },
  "CAP_ac3645a7": {
   "en": "Navigation POMDP Domain Modeling",
   "zh": "导航 POMDP 领域建模",
   "level": "l3"
  },
  "CAP_1da4d12d": {
   "en": "SARSOP Reachable Belief Set Sampling",
   "zh": "SARSOP 可达信念集采样",
   "level": "l3"
  },
  "CAP_b0001b71": {
   "en": "Alpha-Vector Backup and Pruning",
   "zh": "α-向量备份与修剪",
   "level": "l3"
  },
  "CAP_4664bef4": {
   "en": "DESPOT Online POMDP Planning",
   "zh": "DESPOT 在线 POMDP 规划",
   "level": "l3"
  },
  "CAP_e0128a3d": {
   "en": "DESPOT Scenario Determinization",
   "zh": "DESPOT 场景确定化",
   "level": "l3"
  },
  "CAP_960d14db": {
   "en": "Active Inference Expected Free Energy Planning",
   "zh": "主动推理期望自由能规划",
   "level": "l3"
  },
  "CAP_99e392c5": {
   "en": "POMDP Generative Model Loading",
   "zh": "POMDP 生成模型加载",
   "level": "l3"
  },
  "CAP_5ed3080b": {
   "en": "Action Execution via ROS Bridge",
   "zh": "ROS 桥接动作执行",
   "level": "l3"
  },
  "CAP_f7abcaa2": {
   "en": "Gaussian Belief Space Trajectory Optimization",
   "zh": "高斯信念空间轨迹优化",
   "level": "l2"
  },
  "CAP_852c8b33": {
   "en": "Gaussian Covariance Representation",
   "zh": "高斯协方差表示",
   "level": "l3"
  },
  "CAP_69c0362f": {
   "en": "Gaussian Covariance Propagation",
   "zh": "高斯协方差传播",
   "level": "l3"
  },
  "CAP_75454277": {
   "en": "Nominal Trajectory Seeding",
   "zh": "名义轨迹播种",
   "level": "l3"
  },
  "CAP_357a1420": {
   "en": "Multi-Step Gaussian Belief Propagation",
   "zh": "多步高斯信念递归传播",
   "level": "l3"
  },
  "CAP_a706b7a6": {
   "en": "Belief-Dependent Cost Formulation",
   "zh": "信念依赖代价构造",
   "level": "l3"
  },
  "CAP_9dfb6103": {
   "en": "Belief-Aware Cost Construction",
   "zh": "信念感知代价构造",
   "level": "l3"
  },
  "CAP_9083fd68": {
   "en": "iLQG Backward Pass",
   "zh": "iLQG 反向递归",
   "level": "l3"
  },
  "CAP_1e87b037": {
   "en": "Trajectory Risk Distribution Extraction",
   "zh": "轨迹风险分布提取",
   "level": "l3"
  },
  "CAP_30883686": {
   "en": "Trajectory Optimization Convergence Check",
   "zh": "轨迹优化收敛判断",
   "level": "l3"
  },
  "CAP_63dca08a": {
   "en": "GP Chance-Constrained Safe Policy Optimization",
   "zh": "GP 机会约束安全策略优化",
   "level": "l3"
  },
  "CAP_bc9608d7": {
   "en": "Particle Belief Tree Search Planning",
   "zh": "粒子信念树搜索规划",
   "level": "l2"
  },
  "CAP_28516e5b": {
   "en": "Particle Belief Forward Simulation",
   "zh": "粒子信念前向模拟",
   "level": "l3"
  },
  "CAP_ff12fd21": {
   "en": "Double Progressive Widening",
   "zh": "双渐进宽化",
   "level": "l3"
  },
  "CAP_6b9f90a5": {
   "en": "POMCP Bellman Backup",
   "zh": "POMCP 回溯更新",
   "level": "l3"
  },
  "CAP_79021194": {
   "en": "Particle Belief Re-weighting",
   "zh": "粒子信念重加权",
   "level": "l3"
  },
  "CAP_4481ef38": {
   "en": "Particle Belief Risk Quantification",
   "zh": "粒子信念风险量化",
   "level": "l3"
  },
  "CAP_95a8d637": {
   "en": "Monte Carlo Particle Propagation",
   "zh": "蒙特卡洛粒子传播",
   "level": "l3"
  },
  "CAP_59e38ac3": {
   "en": "Occupancy Uncertainty-Aware Navigation Planning",
   "zh": "占用不确定性感知导航规划",
   "level": "l3"
  },
  "CAP_9c417724": {
   "en": "Belief State Modeling",
   "zh": "信念状态建模",
   "level": "l1"
  },
  "CAP_f3c0fa5e": {
   "en": "Bayesian Theory of Mind Inference",
   "zh": "贝叶斯心智理论推断",
   "level": "l2"
  },
  "CAP_6b7abd28": {
   "en": "Rational Agent Generative Model Construction",
   "zh": "理性agent生成模型构建",
   "level": "l3"
  },
  "CAP_c7584d01": {
   "en": "Belief-Conditioned Softmax Planning",
   "zh": "信念条件Softmax规划",
   "level": "l3"
  },
  "CAP_33bffac6": {
   "en": "Inverse Planning Likelihood Evaluation",
   "zh": "逆向规划似然评估",
   "level": "l3"
  },
  "CAP_5e59983a": {
   "en": "Posterior Belief Inference over Others' Mental States",
   "zh": "他人心理状态后验推断",
   "level": "l3"
  },
  "CAP_44d3ffac": {
   "en": "Other-Belief Prediction and Downstream Use",
   "zh": "他人信念预测与下游使用",
   "level": "l3"
  },
  "CAP_6a5b8cb4": {
   "en": "Neural Machine Theory of Mind",
   "zh": "神经机器心智理论",
   "level": "l2"
  },
  "CAP_62a85c33": {
   "en": "Agent Behavior Trajectory Collection",
   "zh": "agent行为轨迹采集",
   "level": "l3"
  },
  "CAP_0168d265": {
   "en": "Character Net Trajectory Embedding",
   "zh": "性格网络轨迹嵌入",
   "level": "l3"
  },
  "CAP_cb066f39": {
   "en": "Mental State Net Belief Encoding",
   "zh": "心理状态网络信念编码",
   "level": "l3"
  },
  "CAP_7bbb3c49": {
   "en": "Cross-Agent Meta-Learning Training",
   "zh": "跨agent元学习训练",
   "level": "l3"
  },
  "CAP_48e3506c": {
   "en": "Amortized Belief Inference and Downstream Use",
   "zh": "摊销信念推断与下游使用",
   "level": "l3"
  },
  "CAP_d9a9c7af": {
   "en": "Epistemic Logic Belief Tracking",
   "zh": "认知逻辑信念跟踪",
   "level": "l2"
  },
  "CAP_3ce2fd23": {
   "en": "Kripke World and Accessibility Relation Definition",
   "zh": "Kripke世界与可达关系定义",
   "level": "l3"
  },
  "CAP_5b7cf799": {
   "en": "Initial Epistemic Belief State Assignment",
   "zh": "初始认知信念状态赋值",
   "level": "l3"
  },
  "CAP_5663a624": {
   "en": "Dynamic Epistemic Logic Action Modeling",
   "zh": "动态认知逻辑动作建模",
   "level": "l3"
  },
  "CAP_9abc8f2f": {
   "en": "DEL Product Update for Belief Revision",
   "zh": "DEL积更新信念修正",
   "level": "l3"
  },
  "CAP_acccd2b2": {
   "en": "Epistemic Model Checking and Query",
   "zh": "认知模型检查与查询",
   "level": "l3"
  },
  "CAP_35c41b65": {
   "en": "VLM/VLA Backbone Social Bias Benchmark Evaluation",
   "zh": "VLM/VLA 基座社会偏见基准评测",
   "level": "l3"
  },
  "CAP_efcc9e7d": {
   "en": "Bidirectional Handover Perception",
   "zh": "双向交接感知",
   "level": "l3"
  },
  "CAP_91324000": {
   "en": "Handover Direction Intent Classification",
   "zh": "交接方向意图判定",
   "level": "l3"
  },
  "CAP_94c4ea2e": {
   "en": "H2R Receive Execution",
   "zh": "H2R接收执行",
   "level": "l3"
  },
  "CAP_66e718d5": {
   "en": "R2H Give Execution",
   "zh": "R2H递送执行",
   "level": "l3"
  },
  "CAP_021eaa9d": {
   "en": "Branch Handover Execution",
   "zh": "分支交接执行",
   "level": "l2"
  },
  "CAP_74800c36": {
   "en": "Handover Completion Monitoring",
   "zh": "交接完成监控",
   "level": "l3"
  },
  "CAP_350f5469": {
   "en": "Simulation Asset Generation",
   "zh": "仿真资产生成",
   "level": "l3"
  },
  "CAP_6c52f7d7": {
   "en": "Expert Demonstration Generation",
   "zh": "专家示例生成",
   "level": "l3"
  },
  "CAP_5da3b297": {
   "en": "4D Imitation Learning",
   "zh": "4D模仿学习",
   "level": "l3"
  },
  "CAP_a5bec93d": {
   "en": "R2H Handover Configuration Generation",
   "zh": "R2H交接配置生成",
   "level": "l3"
  },
  "CAP_e891946a": {
   "en": "Real-time Hand Detection and Tracking",
   "zh": "实时手部检测与追踪",
   "level": "l3"
  },
  "CAP_f21c3795": {
   "en": "MANO Hand Mesh Reconstruction",
   "zh": "MANO手部网格重建",
   "level": "l3"
  },
  "CAP_682629ff": {
   "en": "Hand Pose Perception and Reconstruction",
   "zh": "手部姿态感知与重建",
   "level": "l2"
  },
  "CAP_ac971566": {
   "en": "Delivery Pose Comfort Optimization",
   "zh": "递送位姿舒适度优化",
   "level": "l3"
  },
  "CAP_a76591a5": {
   "en": "Reactive Delivery Trajectory Planning",
   "zh": "反应式递送轨迹规划",
   "level": "l3"
  },
  "CAP_6de62bc5": {
   "en": "R2H Delivery Planning and Execution",
   "zh": "R2H递送规划与执行",
   "level": "l2"
  },
  "CAP_1c3901d7": {
   "en": "Force-aware Handover Completion Verification",
   "zh": "力感知交接完成确认",
   "level": "l3"
  },
  "CAP_2b794724": {
   "en": "Bimanual Workpiece Pose Estimation",
   "zh": "双臂工件位姿估计",
   "level": "l3"
  },
  "CAP_142bec53": {
   "en": "Workpiece Fixturing by Holding Arm",
   "zh": "持握臂工件固化",
   "level": "l3"
  },
  "CAP_879b78fb": {
   "en": "Insertion Contact State Classification",
   "zh": "插入接触状态分类",
   "level": "l3"
  },
  "CAP_fa628310": {
   "en": "Compliant Insertion Execution",
   "zh": "柔顺插入执行",
   "level": "l3"
  },
  "CAP_d3a0046e": {
   "en": "Assembly Acceptance Verification",
   "zh": "装配验收",
   "level": "l3"
  },
  "CAP_a291e15b": {
   "en": "Bimanual Imitation Assembly",
   "zh": "双臂模仿装配",
   "level": "l2"
  },
  "CAP_284db2fd": {
   "en": "Bimanual Insertion Demonstration Collection",
   "zh": "双臂插入示教采集",
   "level": "l3"
  },
  "CAP_38c69217": {
   "en": "Demonstration Data Preprocessing",
   "zh": "示教数据预处理",
   "level": "l3"
  },
  "CAP_a9cc6463": {
   "en": "Policy Deployment Packaging",
   "zh": "策略部署打包",
   "level": "l3"
  },
  "CAP_78a20c16": {
   "en": "Imitation Assembly Result Verification",
   "zh": "模仿装配结果验证",
   "level": "l3"
  },
  "CAP_95b9dc5f": {
   "en": "Bimanual Assembly Simulation Setup",
   "zh": "双臂装配仿真搭建",
   "level": "l3"
  },
  "CAP_961654f2": {
   "en": "Reward Design for Bimanual Insertion",
   "zh": "双臂插入奖励设计",
   "level": "l3"
  },
  "CAP_07704ee1": {
   "en": "Bimanual RL Assembly Verification",
   "zh": "双臂 RL 装配验证",
   "level": "l3"
  },
  "CAP_8fb11bd2": {
   "en": "Bimanual Cutting Teleoperation Demonstration Collection",
   "zh": "双臂切割遥操作演示采集",
   "level": "l3"
  },
  "CAP_e87ab4af": {
   "en": "Bimanual Cutting ACT Policy Deployment Execution",
   "zh": "双臂切割 ACT 策略部署执行",
   "level": "l3"
  },
  "CAP_108d43c7": {
   "en": "SRT-H Hierarchical Language-Conditioned Autonomous Surgical Cutting",
   "zh": "SRT-H 分层语言条件自主手术切割",
   "level": "l2"
  },
  "CAP_a4eddf53": {
   "en": "High-Level Language Task Planning Policy Training",
   "zh": "高层语言任务规划策略训练",
   "level": "l3"
  },
  "CAP_1b7dbfa1": {
   "en": "Low-Level Trajectory Generation Policy Training",
   "zh": "低层轨迹生成策略训练",
   "level": "l3"
  },
  "CAP_865aab96": {
   "en": "Language-Conditioned Autonomous Cutting and Error Correction",
   "zh": "语言条件自主切割执行与纠错",
   "level": "l3"
  },
  "CAP_9c573402": {
   "en": "RGB-D Input Preprocessing",
   "zh": "RGB-D 输入预处理",
   "level": "l2"
  },
  "CAP_709f0e07": {
   "en": "Two-Stage UOIS Segmentation Inference",
   "zh": "两阶段 UOIS 分割推理",
   "level": "l2"
  },
  "CAP_f4074a90": {
   "en": "Instance Output and Evaluation",
   "zh": "实例输出与评测",
   "level": "l2"
  },
  "CAP_5dcff780": {
   "en": "Depth-Driven Instance Center Voting (DSN)",
   "zh": "深度驱动实例中心投票 (DSN)",
   "level": "l3"
  },
  "CAP_016078f9": {
   "en": "Center Voting GMS Instance Clustering",
   "zh": "中心投票高斯均值漂移聚类",
   "level": "l3"
  },
  "CAP_95c82d1c": {
   "en": "Initial Mask Morphological Cleaning (IMP)",
   "zh": "初始掩码形态学清洗 (IMP)",
   "level": "l3"
  },
  "CAP_e986a4ff": {
   "en": "RGB Mask Boundary Refinement (RRN)",
   "zh": "RGB 掩码边界精修 (RRN)",
   "level": "l3"
  },
  "CAP_e88f3e0d": {
   "en": "Instance Mask List Formatting",
   "zh": "实例掩码列表格式化",
   "level": "l3"
  },
  "CAP_a3871948": {
   "en": "Synthetic Tabletop Scene Data Generation (TOD)",
   "zh": "合成桌面场景数据生成 (TOD)",
   "level": "l3"
  },
  "CAP_26867e8d": {
   "en": "OCID and OSD Unseen Object Segmentation Evaluation",
   "zh": "OCID/OSD 未见物体分割评测",
   "level": "l3"
  },
  "CAP_b10391be": {
   "en": "Geometric Cluster Segmentation",
   "zh": "几何聚类分割",
   "level": "l2"
  },
  "CAP_bd1bdf96": {
   "en": "Instance Output and ROS2 Integration",
   "zh": "实例输出与 ROS2 集成",
   "level": "l2"
  },
  "CAP_7cdae8b7": {
   "en": "Workspace Clipping and Voxel Downsampling",
   "zh": "工作空间裁剪与体素降采样",
   "level": "l3"
  },
  "CAP_a0563863": {
   "en": "Statistical Outlier Filtering",
   "zh": "统计离群点滤波",
   "level": "l3"
  },
  "CAP_3063e663": {
   "en": "RANSAC Plane Fitting and Bin Floor Removal",
   "zh": "RANSAC 平面拟合与料箱底面移除",
   "level": "l3"
  },
  "CAP_609bb614": {
   "en": "Euclidean and DBSCAN Density Clustering",
   "zh": "欧氏与 DBSCAN 密度聚类",
   "level": "l3"
  },
  "CAP_e300087c": {
   "en": "Cluster Post-processing and Instance Output",
   "zh": "簇后处理与实例输出",
   "level": "l3"
  },
  "CAP_bec167f8": {
   "en": "MoveIt2 Perception Pipeline Integration",
   "zh": "MoveIt2 感知管线集成",
   "level": "l3"
  },
  "CAP_29f66988": {
   "en": "SAM Image Preprocessing and Model Loading",
   "zh": "SAM 图像预处理与模型加载",
   "level": "l2"
  },
  "CAP_f56b4c84": {
   "en": "Zero-Shot Segmentation Inference",
   "zh": "零样本分割推理",
   "level": "l2"
  },
  "CAP_090d72f7": {
   "en": "Mask Post-processing and Evaluation",
   "zh": "掩码后处理与评测",
   "level": "l2"
  },
  "CAP_9fb42ae3": {
   "en": "SAM Image Preprocessing",
   "zh": "SAM 图像预处理",
   "level": "l3"
  },
  "CAP_b2db3f67": {
   "en": "SAM Mask Post-processing",
   "zh": "SAM 掩码后处理",
   "level": "l3"
  },
  "CAP_d57bace9": {
   "en": "Zero-Shot Segmentation Evaluation",
   "zh": "零样本分割评测",
   "level": "l3"
  },
  "CAP_d34a1a7f": {
   "en": "POMDP Simulation-Supervised Sequential Grasping Policy",
   "zh": "POMDP 仿真监督序列抓取策略",
   "level": "l2"
  },
  "CAP_617d44b8": {
   "en": "3D Point Cloud Acquisition",
   "zh": "3D 点云采集",
   "level": "l3"
  },
  "CAP_4bfd4db2": {
   "en": "Candidate Parallel-Jaw Grasp Sampling",
   "zh": "平行爪候选抓取采样",
   "level": "l3"
  },
  "CAP_c912e70e": {
   "en": "GQ-CNN Grasp Robustness Prediction",
   "zh": "GQ-CNN 抓取鲁棒性预测",
   "level": "l3"
  },
  "CAP_9d11bfd7": {
   "en": "Collision-Aware POMDP Grasp Selection",
   "zh": "碰撞感知 POMDP 抓取选择",
   "level": "l3"
  },
  "CAP_e8d819ea": {
   "en": "Bin Empty Detection and Loop Control",
   "zh": "料箱清空检测与循环控制",
   "level": "l3"
  },
  "CAP_e5e3eb0c": {
   "en": "Supervisor Rollout Data Generation",
   "zh": "仿真 Supervisor 监督数据生成",
   "level": "l3"
  },
  "CAP_e6dcf658": {
   "en": "Greedy Bin-Pick Clearing with Collision-Aware GraspNet",
   "zh": "贪心清空序列 + 碰撞感知抓取",
   "level": "l2"
  },
  "CAP_4a3c5950": {
   "en": "GraspNet 6-DoF Grasp Detection",
   "zh": "GraspNet六自由度抓取检测",
   "level": "l3"
  },
  "CAP_9f288cf5": {
   "en": "Single-View Collision Detection Filtering",
   "zh": "单视角碰撞检测过滤",
   "level": "l3"
  },
  "CAP_d3ac8cd0": {
   "en": "Greedy Grasp Selection",
   "zh": "贪心抓取选择",
   "level": "l3"
  },
  "CAP_08e5762f": {
   "en": "ContactScenarioAndBodyRegionModeling",
   "zh": "接触场景与身体分区建模",
   "level": "l2"
  },
  "CAP_4881bb87": {
   "en": "IsoLimitLookupAndEffectiveLimit",
   "zh": "ISO限值查表与有效限值计算",
   "level": "l2"
  },
  "CAP_8e4e81e7": {
   "en": "SafetyMarginAssessment",
   "zh": "安全裕度评估",
   "level": "l2"
  },
  "CAP_071fdcf5": {
   "en": "ContactForceEstimation",
   "zh": "接触力估计",
   "level": "l3"
  },
  "CAP_4b67cec7": {
   "en": "ContactBodyRegionLocalization",
   "zh": "接触身体分区定位",
   "level": "l3"
  },
  "CAP_b4d15b7d": {
   "en": "ContactTypeClassification",
   "zh": "接触类型分类",
   "level": "l3"
  },
  "CAP_7f7f01a4": {
   "en": "IsoBiomechanicalLimitQuery",
   "zh": "ISO生物力学限值查表",
   "level": "l3"
  },
  "CAP_717831ef": {
   "en": "EffectiveLimitCalculation",
   "zh": "有效限值计算",
   "level": "l3"
  },
  "CAP_ce147688": {
   "en": "PflSafetyAssessmentOutput",
   "zh": "PFL评估输出",
   "level": "l3"
  },
  "CAP_993179e0": {
   "en": "AccelerationTimeHistoryAcquisition",
   "zh": "加速度时间历程采集",
   "level": "l2"
  },
  "CAP_dd1e7080": {
   "en": "InjuryCriterionComputation",
   "zh": "伤害指标计算",
   "level": "l2"
  },
  "CAP_54322e7b": {
   "en": "InjuryRegulatoryAssessment",
   "zh": "法规阈值比对",
   "level": "l2"
  },
  "CAP_c32dba2d": {
   "en": "AccelerationSignalAcquisitionAndFiltering",
   "zh": "加速度信号采集与滤波",
   "level": "l3"
  },
  "CAP_d4e1fc6c": {
   "en": "ImpactEventDetection",
   "zh": "冲击事件检测",
   "level": "l3"
  },
  "CAP_21fca70c": {
   "en": "HeadInjuryCriterionComputation",
   "zh": "头部伤害指标HIC计算",
   "level": "l3"
  },
  "CAP_8f21647d": {
   "en": "NeckInjuryCriterionComputation",
   "zh": "颈部伤害指标Nij计算",
   "level": "l3"
  },
  "CAP_1b2e5505": {
   "en": "ChestThreeMsClipComputation",
   "zh": "胸部3ms指标计算",
   "level": "l3"
  },
  "CAP_c84987f3": {
   "en": "RegulatoryThresholdComparison",
   "zh": "法规阈值比对",
   "level": "l3"
  },
  "CAP_525efdf2": {
   "en": "InjuryRiskOutput",
   "zh": "伤害风险输出",
   "level": "l3"
  },
  "CAP_3a049988": {
   "en": "FeModelSetupAndBoundaryCondition",
   "zh": "FE模型装配与边界条件",
   "level": "l2"
  },
  "CAP_3aefe4cb": {
   "en": "LsDynaExplicitSolving",
   "zh": "LSDYNA显式求解",
   "level": "l2"
  },
  "CAP_f1681a1d": {
   "en": "TissueInjuryJudgment",
   "zh": "组织损伤判定",
   "level": "l2"
  },
  "CAP_671e9285": {
   "en": "FeHumanBodyModelSetup",
   "zh": "FE人体模型装配",
   "level": "l3"
  },
  "CAP_381ca5c7": {
   "en": "CollisionBoundaryConditionSetup",
   "zh": "碰撞边界条件设定",
   "level": "l3"
  },
  "CAP_38f9b814": {
   "en": "ExplicitDynamicsSolving",
   "zh": "显式动力学求解",
   "level": "l3"
  },
  "CAP_a918261a": {
   "en": "TimeStepAndEnergyControl",
   "zh": "时间步长与能量控制",
   "level": "l3"
  },
  "CAP_51256d77": {
   "en": "TissueStressStrainExtraction",
   "zh": "组织应力应变提取",
   "level": "l3"
  },
  "CAP_7a7325eb": {
   "en": "TissueInjuryThresholdJudgment",
   "zh": "组织损伤阈值判定",
   "level": "l3"
  },
  "CAP_51f90f89": {
   "en": "ImpactDynamicsParameterModeling",
   "zh": "碰撞动力学参数建模",
   "level": "l2"
  },
  "CAP_bcd905fc": {
   "en": "PeakForceAnalyticEstimation",
   "zh": "峰值力解析估计",
   "level": "l2"
  },
  "CAP_8af91458": {
   "en": "AisRiskAssessment",
   "zh": "AIS风险映射",
   "level": "l2"
  },
  "CAP_59447045": {
   "en": "EffectiveMassEstimation",
   "zh": "末端等效质量估计",
   "level": "l3"
  },
  "CAP_f5d0000c": {
   "en": "HumanBodyMsdParameterCalibration",
   "zh": "人体MSD参数标定",
   "level": "l3"
  },
  "CAP_bd2b79f9": {
   "en": "ContactStiffnessComposition",
   "zh": "接触刚度合成",
   "level": "l3"
  },
  "CAP_6c4f4d68": {
   "en": "ImpactPeakForceComputation",
   "zh": "碰撞峰值力解析计算",
   "level": "l3"
  },
  "CAP_da40b162": {
   "en": "PeakForceSimulationValidation",
   "zh": "峰值力仿真验证",
   "level": "l3"
  },
  "CAP_1ab22ec0": {
   "en": "AisRiskMapping",
   "zh": "AIS风险映射",
   "level": "l3"
  },
  "CAP_5d34740b": {
   "en": "RealtimeRiskOutput",
   "zh": "实时风险输出",
   "level": "l3"
  },
  "CAP_dab930c7": {
   "en": "Biomimetic Gait Generation",
   "zh": "仿生步态生成",
   "level": "l2"
  },
  "CAP_f727ac7a": {
   "en": "Trot Phase FSM Scheduling",
   "zh": "Trot 相位有限状态机调度",
   "level": "l3"
  },
  "CAP_136293a3": {
   "en": "Trot Phase Pattern Modulation",
   "zh": "Trot 相位模式调制",
   "level": "l3"
  },
  "CAP_6c981654": {
   "en": "Swing Leg Trajectory Generation",
   "zh": "摆动腿轨迹生成",
   "level": "l3"
  },
  "CAP_49a56d94": {
   "en": "Closed-form Inverse Kinematics",
   "zh": "闭式逆运动学解算",
   "level": "l3"
  },
  "CAP_229e6083": {
   "en": "Servo Motor Command Dispatch",
   "zh": "舵机电机命令分发",
   "level": "l3"
  },
  "CAP_4dbe542b": {
   "en": "Trot Phase Sequence Specification",
   "zh": "Trot 相位序列规范定义",
   "level": "l3"
  },
  "CAP_713bed1d": {
   "en": "Trajectory Optimization NLP Assembly",
   "zh": "轨迹优化 NLP 装配",
   "level": "l3"
  },
  "CAP_6327c789": {
   "en": "Trajectory Tracking Dispatch",
   "zh": "参考轨迹跟踪分发",
   "level": "l3"
  },
  "CAP_79013cc5": {
   "en": "Actor-Critic Step And Update",
   "zh": "Actor-Critic 步进与更新",
   "level": "l3"
  },
  "CAP_c440b833": {
   "en": "Human Motion Retargeting to Humanoid",
   "zh": "人体运动重定向到人形机器人",
   "level": "l3"
  },
  "CAP_bae82a8b": {
   "en": "Low Sonar Scan",
   "zh": "低层声纳反射扫描采集",
   "level": "l3"
  },
  "CAP_99b88c11": {
   "en": "Explore AFSM",
   "zh": "探索/寻目标行为AFSM",
   "level": "l3"
  },
  "CAP_98d4059e": {
   "en": "Intent to Descending Modulation",
   "zh": "意图转下行调制参数",
   "level": "l3"
  },
  "CAP_74c68016": {
   "en": "Descending Modulation Generation",
   "zh": "脑干/前庭下行调制信号生成",
   "level": "l2"
  },
  "CAP_2460f754": {
   "en": "CPG Rhythm Invocation",
   "zh": "脊髓CPG节律调用接口",
   "level": "l3"
  },
  "CAP_1c490b8c": {
   "en": "CPG to Joint Trajectory Mapping",
   "zh": "CPG节律到关节轨迹映射",
   "level": "l3"
  },
  "CAP_5ef81223": {
   "en": "Reflex Integration",
   "zh": "反射弧整合到运动指令",
   "level": "l3"
  },
  "CAP_f9789598": {
   "en": "Sensory Feedback to CPG",
   "zh": "感觉反馈上行调制CPG",
   "level": "l3"
  },
  "CAP_c53289fa": {
   "en": "Bio Motor Command Dispatch",
   "zh": "生物分层关节指令分发",
   "level": "l3"
  },
  "CAP_5106d683": {
   "en": "Skill Sequencing",
   "zh": "时序技能编排",
   "level": "l3"
  },
  "CAP_127d91ed": {
   "en": "Skill Dispatch and Monitoring",
   "zh": "技能调用与状态监控",
   "level": "l3"
  },
  "CAP_ddccb4f0": {
   "en": "Reactive Skill Execution",
   "zh": "反应式技能执行",
   "level": "l3"
  },
  "CAP_c3e3b22e": {
   "en": "Status Feedback",
   "zh": "执行状态反馈链",
   "level": "l3"
  },
  "CAP_71c9e770": {
   "en": "Goal Check",
   "zh": "目标达成检查",
   "level": "l3"
  },
  "CAP_724c47ca": {
   "en": "ABC Multi-Robot Task Allocation",
   "zh": "蜂群多机器人任务分配",
   "level": "l2"
  },
  "CAP_506ce7d5": {
   "en": "ABC Food Source Initialization",
   "zh": "蜂群食物源初始化",
   "level": "l3"
  },
  "CAP_7c51ed36": {
   "en": "Employed Bee Neighborhood Search",
   "zh": "采蜜蜂邻域搜索",
   "level": "l3"
  },
  "CAP_c5380a93": {
   "en": "Onlooker Roulette Recruitment",
   "zh": "观察蜂轮盘赌招募",
   "level": "l3"
  },
  "CAP_a4dee3fc": {
   "en": "Scout Bee Abandon Reinit",
   "zh": "侦察蜂放弃重启",
   "level": "l3"
  },
  "CAP_1c021898": {
   "en": "GWO Mobile Robot Path Planning",
   "zh": "灰狼移动机器人路径规划",
   "level": "l2"
  },
  "CAP_f6ddc082": {
   "en": "GWO Wolf Pack Ranking",
   "zh": "灰狼等级排序",
   "level": "l3"
  },
  "CAP_d5237cd6": {
   "en": "GWO Encircling Vector",
   "zh": "灰狼包围向量",
   "level": "l3"
  },
  "CAP_f58978ab": {
   "en": "GWO Alpha Beta Delta Position Update",
   "zh": "三狼引导位置更新",
   "level": "l3"
  },
  "CAP_68e43388": {
   "en": "GWO Path Cost Evaluation",
   "zh": "GWO 路径代价评估",
   "level": "l3"
  },
  "CAP_96851c19": {
   "en": "Physarum Network Path Planning",
   "zh": "黏菌网络路径规划",
   "level": "l2"
  },
  "CAP_404ab476": {
   "en": "Physarum Graph Tube Init",
   "zh": "黏菌图管径初始化",
   "level": "l3"
  },
  "CAP_0e76ec73": {
   "en": "Physarum Flow Pressure Solve",
   "zh": "黏菌流量压力求解",
   "level": "l3"
  },
  "CAP_f1af4faa": {
   "en": "Physarum Tube Diameter Evolution",
   "zh": "黏菌管径演化",
   "level": "l3"
  },
  "CAP_13b6db8e": {
   "en": "Physarum Converge Prune",
   "zh": "黏菌收敛剪枝",
   "level": "l3"
  },
  "CAP_722bcbd7": {
   "en": "Firefly Cooperative Optimization",
   "zh": "萤火虫协同优化",
   "level": "l2"
  },
  "CAP_19fb480a": {
   "en": "Firefly Luminosity Evaluation",
   "zh": "萤火虫亮度评估",
   "level": "l3"
  },
  "CAP_d24760d2": {
   "en": "Firefly Pairwise Attractiveness",
   "zh": "萤火虫成对吸引度",
   "level": "l3"
  },
  "CAP_e581e241": {
   "en": "Firefly Position Update",
   "zh": "萤火虫位置更新",
   "level": "l3"
  },
  "CAP_dc67aeaa": {
   "en": "Firefly Gamma Tuning",
   "zh": "萤火虫 γ 吸收调参",
   "level": "l3"
  },
  "CAP_e44d3f53": {
   "en": "Simulation Deployment Verification",
   "zh": "仿真部署验证",
   "level": "l3"
  },
  "CAP_a57ac2a4": {
   "en": "Biped Gait Generation",
   "zh": "双足步态生成",
   "level": "l2"
  },
  "CAP_ade1aa0b": {
   "en": "Footstep Planning",
   "zh": "落脚点序列规划",
   "level": "l3"
  },
  "CAP_53bef7ac": {
   "en": "ZMP Reference Trajectory Generation",
   "zh": "ZMP 参考轨迹生成",
   "level": "l3"
  },
  "CAP_c726dce7": {
   "en": "Cart-Table LIPM Preview Control",
   "zh": "小车-桌子 LIPM 预览控制",
   "level": "l3"
  },
  "CAP_85c51d5c": {
   "en": "Humanoid Whole-Body IK",
   "zh": "人形全身逆运动学",
   "level": "l3"
  },
  "CAP_2ecd069a": {
   "en": "DCM Reference Trajectory Generation",
   "zh": "DCM 参考轨迹生成",
   "level": "l3"
  },
  "CAP_ccc84f3c": {
   "en": "Biped Gait Phase Sequence Specification",
   "zh": "双足步态相位时序规范定义",
   "level": "l3"
  },
  "CAP_3c0d6f66": {
   "en": "Target State and Terrain Specification",
   "zh": "目标状态与地形规格设定",
   "level": "l3"
  },
  "CAP_d27b9335": {
   "en": "NLP Solver Execution",
   "zh": "NLP 求解器执行",
   "level": "l3"
  },
  "CAP_27de014f": {
   "en": "DMP Demonstration Learning",
   "zh": "DMP 示范学习",
   "level": "l2"
  },
  "CAP_ccd15455": {
   "en": "Diffusion Shared Autonomy Blending",
   "zh": "扩散共享自主混合",
   "level": "l2"
  },
  "CAP_d4e1a5c7": {
   "en": "Teleoperation Input Parsing",
   "zh": "遥操作输入解析",
   "level": "l3"
  },
  "CAP_c73470c7": {
   "en": "Robot Policy Inference",
   "zh": "机器人策略推理",
   "level": "l3"
  },
  "CAP_e7be0518": {
   "en": "Operator Action Encoding",
   "zh": "操作者动作编码",
   "level": "l3"
  },
  "CAP_6eeec113": {
   "en": "Demonstration Trajectory Acquisition",
   "zh": "示范轨迹采集",
   "level": "l3"
  },
  "CAP_706d7a2e": {
   "en": "DMP Parameterization",
   "zh": "DMP 参数化",
   "level": "l3"
  },
  "CAP_f4385deb": {
   "en": "DMP Parameter Blending Fusion",
   "zh": "DMP 参数混合融合",
   "level": "l3"
  },
  "CAP_5dd90c4e": {
   "en": "DMP Trajectory Generation",
   "zh": "DMP 轨迹生成",
   "level": "l3"
  },
  "CAP_9b961fd9": {
   "en": "Operator Action Forward Diffusion",
   "zh": "操作者动作前向扩散",
   "level": "l3"
  },
  "CAP_4883d07b": {
   "en": "Policy-Conditioned Reverse Diffusion",
   "zh": "策略条件反向扩散",
   "level": "l3"
  },
  "CAP_6bd036b9": {
   "en": "Diffusion Action Decoding",
   "zh": "扩散动作解码",
   "level": "l3"
  },
  "CAP_6812346d": {
   "en": "Acquire BLE Signal",
   "zh": "BLE 信号采集",
   "level": "l2"
  },
  "CAP_4524069a": {
   "en": "Parse Beacon Advertisement",
   "zh": "解析 iBeacon/AltBeacon 广播帧",
   "level": "l3"
  },
  "CAP_dda14fa3": {
   "en": "Filter RSSI Time Series",
   "zh": "RSSI 时序滤波去抖",
   "level": "l3"
  },
  "CAP_8dd18f17": {
   "en": "Range and Geometry",
   "zh": "测距与几何求解",
   "level": "l2"
  },
  "CAP_d7d4c1f9": {
   "en": "Invert RSSI to Distance",
   "zh": "RSSI 反演距离",
   "level": "l3"
  },
  "CAP_5e201f6c": {
   "en": "Trilaterate Position via Least Squares",
   "zh": "三边最小二乘求解位置",
   "level": "l3"
  },
  "CAP_c0e52694": {
   "en": "Smooth Position Output",
   "zh": "位置时序平滑输出",
   "level": "l3"
  },
  "CAP_0fb3e189": {
   "en": "Offline Pipeline",
   "zh": "离线指纹库构建流程",
   "level": "l2"
  },
  "CAP_e6e9801e": {
   "en": "Collect BLE Fingerprints",
   "zh": "采集 BLE 指纹",
   "level": "l3"
  },
  "CAP_aab09cb0": {
   "en": "Build Radio Map Matrix",
   "zh": "构建指纹库矩阵",
   "level": "l3"
  },
  "CAP_de5181f4": {
   "en": "Online Matching",
   "zh": "在线指纹匹配与输出",
   "level": "l2"
  },
  "CAP_953d6aa9": {
   "en": "Match Fingerprint KNN WKNN",
   "zh": "KNN/WKNN 指纹匹配",
   "level": "l3"
  },
  "CAP_42f7bbb5": {
   "en": "Classify Position via Naive Bayes",
   "zh": "朴素贝叶斯位置分类",
   "level": "l3"
  },
  "CAP_bdf820f1": {
   "en": "Smooth Position via HMM",
   "zh": "HMM Viterbi 时序平滑",
   "level": "l3"
  },
  "CAP_f0977c01": {
   "en": "Acquire CTE Signal",
   "zh": "CTE 信号采集",
   "level": "l2"
  },
  "CAP_a5f9ec7d": {
   "en": "Transmit BLE CTE Advertisement",
   "zh": "发射 BLE CTE 广播",
   "level": "l3"
  },
  "CAP_e98b6534": {
   "en": "Sample IQ Multi-Antenna",
   "zh": "多天线阵列 IQ 采样",
   "level": "l3"
  },
  "CAP_26876f27": {
   "en": "AoA and Geometry",
   "zh": "AoA 估计与几何求解",
   "level": "l2"
  },
  "CAP_403e219f": {
   "en": "Estimate AoA from IQ",
   "zh": "IQ 样本估计到达角",
   "level": "l3"
  },
  "CAP_16a02523": {
   "en": "Triangulate Position via AoA",
   "zh": "AoA 三角定位求解",
   "level": "l3"
  },
  "CAP_f3e9b53e": {
   "en": "Smooth AoA Position Output",
   "zh": "AoA 位置时序平滑输出",
   "level": "l3"
  },
  "CAP_80c823ca": {
   "en": "BLE Beacon Advertising and RSSI Scanning",
   "zh": "BLE 信标广播与 RSSI 扫描",
   "level": "l2"
  },
  "CAP_b4fbc5af": {
   "en": "BLE Beacon Packet Broadcasting",
   "zh": "BLE 信标广播包发送",
   "level": "l3"
  },
  "CAP_fe03352a": {
   "en": "BLE Multi-Beacon RSSI Vector Scanning",
   "zh": "BLE 多信标 RSSI 向量扫描",
   "level": "l3"
  },
  "CAP_5ebe5374": {
   "en": "BLE RSSI Fingerprint Database Construction",
   "zh": "BLE RSSI 指纹库构建",
   "level": "l2"
  },
  "CAP_5274a2e6": {
   "en": "BLE RSSI Fingerprint ML Matching",
   "zh": "BLE RSSI 指纹机器学习匹配",
   "level": "l2"
  },
  "CAP_7bf51747": {
   "en": "BLE Fingerprint KNN WKNN Matching",
   "zh": "BLE 指纹 KNN/WKNN 匹配",
   "level": "l3"
  },
  "CAP_71f5bbe2": {
   "en": "BLE Fingerprint Position Confidence Output",
   "zh": "BLE 指纹位置置信度输出",
   "level": "l3"
  },
  "CAP_5b43741d": {
   "en": "BLE RSSI Smoothing and Path-Loss Ranging",
   "zh": "BLE RSSI 平滑与路径损耗测距",
   "level": "l2"
  },
  "CAP_777f7d08": {
   "en": "BLE RSSI Kalman Smoothing",
   "zh": "BLE RSSI 卡尔曼平滑",
   "level": "l3"
  },
  "CAP_389ad18c": {
   "en": "BLE Path-Loss Distance Estimation",
   "zh": "BLE 路径损耗测距",
   "level": "l3"
  },
  "CAP_0a8699af": {
   "en": "BLE Trilateration Position Solver",
   "zh": "BLE 三边定位解算",
   "level": "l2"
  },
  "CAP_b7b2c4cd": {
   "en": "BLE Least-Squares Trilateration",
   "zh": "BLE 最小二乘三边解算",
   "level": "l3"
  },
  "CAP_7fbb2b5b": {
   "en": "BLE NLOS Detection and Outlier Rejection",
   "zh": "BLE NLOS 检测与异常剔除",
   "level": "l3"
  },
  "CAP_20d7ab2a": {
   "en": "BLE Trilateration Position Output",
   "zh": "BLE 三边位置输出",
   "level": "l3"
  },
  "CAP_45671f71": {
   "en": "BLE 5.1 CTE Transmission",
   "zh": "BLE 5.1 CTE 传输",
   "level": "l2"
  },
  "CAP_e3ac613d": {
   "en": "BLE 5.1 CTE Packet Broadcasting",
   "zh": "BLE 5.1 CTE 包广播",
   "level": "l3"
  },
  "CAP_4983c16d": {
   "en": "BLE 5.1 Multi-Antenna IQ Sampling",
   "zh": "BLE 5.1 多天线 IQ 采样",
   "level": "l2"
  },
  "CAP_78b00fcd": {
   "en": "BLE 5.1 Antenna Array Reception",
   "zh": "BLE 5.1 天线阵列接收",
   "level": "l3"
  },
  "CAP_73c429b6": {
   "en": "BLE 5.1 IQ Sample Collection",
   "zh": "BLE 5.1 IQ 样本采集",
   "level": "l3"
  },
  "CAP_3be69beb": {
   "en": "BLE AoA Estimation and Triangulation",
   "zh": "BLE 到达角估计与三角定位",
   "level": "l2"
  },
  "CAP_2128acf2": {
   "en": "BLE AoA Phase Difference Computation",
   "zh": "BLE 到达角相位差计算",
   "level": "l3"
  },
  "CAP_7acc7340": {
   "en": "BLE AoA Position Output",
   "zh": "BLE 到达角位置输出",
   "level": "l3"
  },
  "CAP_db725654": {
   "en": "BLE 6.0 CS Procedure Initiation",
   "zh": "BLE 6.0 CS 流程发起",
   "level": "l2"
  },
  "CAP_846462c6": {
   "en": "BLE 6.0 CS Mode Negotiation",
   "zh": "BLE 6.0 CS 模式协商",
   "level": "l3"
  },
  "CAP_6c5771f1": {
   "en": "BLE 6.0 PBR and RTT Measurement",
   "zh": "BLE 6.0 PBR 与 RTT 测量",
   "level": "l2"
  },
  "CAP_e9fed520": {
   "en": "BLE 6.0 PBR Multi-Frequency Phase Sampling",
   "zh": "BLE 6.0 PBR 多频点相位采样",
   "level": "l3"
  },
  "CAP_48b69b81": {
   "en": "BLE 6.0 RTT Round-Trip Time Measurement",
   "zh": "BLE 6.0 RTT 往返时间测量",
   "level": "l3"
  },
  "CAP_1db83d60": {
   "en": "BLE 6.0 PBR Distance Estimation and Security",
   "zh": "BLE 6.0 PBR 测距与安全",
   "level": "l2"
  },
  "CAP_57b53e6e": {
   "en": "BLE 6.0 PBR Distance Solver",
   "zh": "BLE 6.0 PBR 距离解算",
   "level": "l3"
  },
  "CAP_56030718": {
   "en": "BLE 6.0 PBR RTT Fusion",
   "zh": "BLE 6.0 PBR 与 RTT 融合",
   "level": "l3"
  },
  "CAP_78d510b7": {
   "en": "BLE 6.0 BRAC Relay Attack Detection",
   "zh": "BLE 6.0 BRAC 中继攻击检测",
   "level": "l3"
  },
  "CAP_1c609f6b": {
   "en": "BLE 6.0 CS Multilateration Position Output",
   "zh": "BLE 6.0 CS 多边定位输出",
   "level": "l2"
  },
  "CAP_84fdba50": {
   "en": "BLE Fingerprint Radio Map Building",
   "zh": "BLE 指纹无线地图构建",
   "level": "l3"
  },
  "CAP_079ed1437d": {
   "en": "BLE 6.0 CS Least-Squares Multilateration",
   "zh": "BLE 6.0 CS 最小二乘多边解算",
   "level": "l3"
  },
  "CAP_793bd7b1": {
   "en": "Motion Parameter Mapping and Keyframe Retrieval",
   "zh": "运动参数映射与关键帧检索",
   "level": "l2"
  },
  "CAP_6d0b88d0": {
   "en": "Emotion-to-LMA Mapping",
   "zh": "情感到LMA参数映射",
   "level": "l3"
  },
  "CAP_0cdddb4f": {
   "en": "Keyframe Selection",
   "zh": "关键帧选取",
   "level": "l3"
  },
  "CAP_84279f13": {
   "en": "Motion Quality Modulation and Trajectory Generation",
   "zh": "运动质量调制与轨迹生成",
   "level": "l3"
  },
  "CAP_ce9c727b": {
   "en": "Trajectory Interpolation",
   "zh": "轨迹插值",
   "level": "l3"
  },
  "CAP_d5c27d25": {
   "en": "Physical Execution",
   "zh": "物理执行",
   "level": "l2"
  },
  "CAP_b325c480": {
   "en": "Physical Execution via ALMotion",
   "zh": "通过ALMotion物理执行",
   "level": "l3"
  },
  "CAP_b29080bc": {
   "en": "LMA-Parameterized Robot Body Language Execution",
   "zh": "LMA 参数化机器人肢体语言执行",
   "level": "l2"
  },
  "CAP_26fcac0e": {
   "en": "Emotion-to-Laban Effort Mapping",
   "zh": "情感到 LMA 力效映射",
   "level": "l3"
  },
  "CAP_50a097eb": {
   "en": "Emotion-Conditioned Keyframe Retrieval",
   "zh": "情感条件关键帧检索",
   "level": "l3"
  },
  "CAP_3363a6ba": {
   "en": "LMA Motion Quality Modulation on Keyframes",
   "zh": "基于 LMA 的关键帧运动质量调制",
   "level": "l3"
  },
  "CAP_6a8a77b7": {
   "en": "NAOqi ALMotion Joint Trajectory Execution",
   "zh": "NAOqi ALMotion 关节轨迹物理执行",
   "level": "l3"
  },
  "CAP_53e1f3ab": {
   "en": "LMA Feature Extraction",
   "zh": "LMA特征提取",
   "level": "l3"
  },
  "CAP_b1850fe6": {
   "en": "Emotion Motion Modulation",
   "zh": "情感运动调制",
   "level": "l3"
  },
  "CAP_988596dc": {
   "en": "Co-Speech Gesture Generation",
   "zh": "共语手势生成",
   "level": "l2"
  },
  "CAP_0793d139": {
   "en": "Data-Driven End-to-End Gesture Generation",
   "zh": "数据驱动端到端手势生成",
   "level": "l2"
  },
  "CAP_7848be3f": {
   "en": "Audio Feature Extraction (WavLM-based)",
   "zh": "基于WavLM的音频特征提取",
   "level": "l3"
  },
  "CAP_f5d67f9a": {
   "en": "Text Transcription and Embedding",
   "zh": "文本转写与词嵌入",
   "level": "l3"
  },
  "CAP_ee82de03": {
   "en": "Emotion and Speaker Encoding",
   "zh": "情感与说话人编码",
   "level": "l3"
  },
  "CAP_907f3a29": {
   "en": "Compositional VQ-VAE Training",
   "zh": "组合式VQ-VAE训练",
   "level": "l3"
  },
  "CAP_2a00b108": {
   "en": "Discrete Gesture Tokenization",
   "zh": "离散手势Token化",
   "level": "l3"
  },
  "CAP_36aa4bfd": {
   "en": "Content Rhythm Fusion",
   "zh": "内容节奏融合",
   "level": "l3"
  },
  "CAP_22e86121": {
   "en": "Masked Body Hint Encoding",
   "zh": "掩码身体提示编码",
   "level": "l3"
  },
  "CAP_385c2dfd": {
   "en": "Audio-Gesture Cross-Attention Decoding",
   "zh": "音频-手势跨注意力解码",
   "level": "l3"
  },
  "CAP_2cccb536": {
   "en": "VQ Decoding to Body Motion",
   "zh": "VQ解码为身体运动",
   "level": "l3"
  },
  "CAP_5346e9da": {
   "en": "Global Motion Prediction",
   "zh": "全局运动预测",
   "level": "l3"
  },
  "CAP_8547241f": {
   "en": "Motion Post-Processing and Export",
   "zh": "运动后处理与格式导出",
   "level": "l3"
  },
  "CAP_315af36b": {
   "en": "Gesture Quality Evaluation",
   "zh": "手势质量评估",
   "level": "l3"
  },
  "CAP_d0eef153": {
   "en": "Audio Feature Extraction for Gesture Generation",
   "zh": "音频手势特征提取",
   "level": "l3"
  },
  "CAP_a798ca6c": {
   "en": "Gesture Quantization with Compositional VQ-VAE",
   "zh": "组合式 VQ-VAE 手势量化",
   "level": "l3"
  },
  "CAP_8c7bac6a": {
   "en": "Audio-Gesture Cross-Modal Mapping with Masked Transformer",
   "zh": "掩码 Transformer 音频-手势跨模态映射",
   "level": "l3"
  },
  "CAP_070551c0": {
   "en": "Global Motion Prediction from Local Dynamics",
   "zh": "局部动力学到全局运动预测",
   "level": "l3"
  },
  "CAP_e08c45ce": {
   "en": "Co-Speech Gesture Quality Assessment",
   "zh": "共语手势质量评估",
   "level": "l3"
  },
  "CAP_b5257f6c": {
   "en": "Multi-Modal Audio Feature Encoding for Gestures",
   "zh": "多模态音频特征编码",
   "level": "l3"
  },
  "CAP_9d6e6f0c": {
   "en": "Text Semantic Encoding for Gestures",
   "zh": "文本语义编码",
   "level": "l3"
  },
  "CAP_9a76acd7": {
   "en": "Speaker and Emotion Condition Encoding",
   "zh": "说话人与情感条件编码",
   "level": "l3"
  },
  "CAP_c75b8694": {
   "en": "Cascaded Multi-Modal Feature Fusion",
   "zh": "级联多模态特征融合",
   "level": "l3"
  },
  "CAP_a9b9af84": {
   "en": "Audio-Conditioned Motion Token Prediction",
   "zh": "音频条件运动token预测",
   "level": "l3"
  },
  "CAP_acb7ccb4": {
   "en": "BVH to SMPL-X Format Conversion",
   "zh": "BVH到SMPL-X格式转换",
   "level": "l3"
  },
  "CAP_a20a569a": {
   "en": "Speech Input and Feature Extraction",
   "zh": "语音输入与特征提取",
   "level": "l2"
  },
  "CAP_62fdda0f": {
   "en": "Audio Feature Extraction",
   "zh": "音频特征提取",
   "level": "l3"
  },
  "CAP_f716f939": {
   "en": "Masked Gesture Generation",
   "zh": "掩码手势生成",
   "level": "l2"
  },
  "CAP_7871a010": {
   "en": "Motion VQ-VAE Encoding",
   "zh": "运动VQ-VAE编码",
   "level": "l3"
  },
  "CAP_1cc6bfb4": {
   "en": "Motion VQ-VAE Decoding",
   "zh": "运动VQ-VAE解码",
   "level": "l3"
  },
  "CAP_541e1d4f": {
   "en": "Motion Representation Conversion",
   "zh": "运动表示转换",
   "level": "l2"
  },
  "CAP_d085b876": {
   "en": "SMPL-X Parameter Conversion",
   "zh": "SMPL-X参数转换",
   "level": "l3"
  },
  "CAP_d5b30fc7": {
   "en": "Interaction Context Extraction and Prompt Construction",
   "zh": "交互上下文提取与提示构建",
   "level": "l2"
  },
  "CAP_04bf126b": {
   "en": "Audio Emotion Feature Extraction",
   "zh": "音频情感特征提取",
   "level": "l3"
  },
  "CAP_b9eef294": {
   "en": "Motion Primitive Library",
   "zh": "运动原语库",
   "level": "l3"
  },
  "CAP_b802699c": {
   "en": "Constraint and Style Prompt Assembly",
   "zh": "约束与风格提示组装",
   "level": "l3"
  },
  "CAP_e2f7fae9": {
   "en": "LLM Gesture Code Generation with Joint Library",
   "zh": "LLM 关节库手势代码生成",
   "level": "l2"
  },
  "CAP_e52b0b24": {
   "en": "LLM Motion Primitive Code Generation",
   "zh": "LLM 运动原语代码生成",
   "level": "l3"
  },
  "CAP_2c6f84f1": {
   "en": "Duration-Aware DTW Gesture Speech Alignment",
   "zh": "语音-动作时序对齐",
   "level": "l3"
  },
  "CAP_ba642c12": {
   "en": "Robot Joint Execution and Feedback Loop",
   "zh": "机器人关节执行与反馈闭环",
   "level": "l2"
  },
  "CAP_8be3b101": {
   "en": "RLHF Preference Learning Pipeline",
   "zh": "RLHF 偏好学习管线",
   "level": "l3"
  },
  "CAP_aa01b12d": {
   "en": "LLM Adaptive Replanning",
   "zh": "LLM 自适应重规划",
   "level": "l3"
  },
  "CAP_7d8e9f0a": {
   "en": "HRL Manager-Worker Architecture",
   "zh": "HRL管理者-工作者架构",
   "level": "l2"
  },
  "CAP_176ad5e6": {
   "en": "HRL Manager Subgoal Generation",
   "zh": "HRL管理者子目标生成",
   "level": "l3"
  },
  "CAP_398cf708": {
   "en": "HRL Intrinsic Reward Computation",
   "zh": "HRL内在奖励计算",
   "level": "l3"
  },
  "CAP_7157377d": {
   "en": "Goal Transition Function",
   "zh": "Goal 传递函数 h",
   "level": "l3"
  },
  "CAP_ea75d280": {
   "en": "Subgoal Testing with Bounded Q-Values",
   "zh": "子目标测试与有界 Q 值",
   "level": "l3"
  },
  "CAP_4ac44141": {
   "en": "PAF Feature and Affinity Field Prediction",
   "zh": "PAF 特征与部位亲和场预测",
   "level": "l2"
  },
  "CAP_343cdf31": {
   "en": "AE Heatmap and Tag Joint Prediction",
   "zh": "AE 热图与 tag 联合预测",
   "level": "l2"
  },
  "CAP_c4364354": {
   "en": "DEKR Adaptive Regression Feature Extraction",
   "zh": "DEKR 自适应回归特征提取",
   "level": "l2"
  },
  "CAP_42f50c6a": {
   "en": "DEKR Center Decoding and OKS Rescoring",
   "zh": "DEKR Center 解码与 OKS 重打分",
   "level": "l2"
  },
  "CAP_09ea953b": {
   "en": "KAPAO Pose and Keypoint Object Detection",
   "zh": "KAPAO 姿态与关键点目标检测",
   "level": "l2"
  },
  "CAP_9f4dc099": {
   "en": "Multi-Stage CPM Backbone with Intermediate Supervision",
   "zh": "多阶段 CPM 骨干与中间监督",
   "level": "l3"
  },
  "CAP_6e35b48c": {
   "en": "Part Affinity Field Prediction",
   "zh": "部位亲和场预测",
   "level": "l3"
  },
  "CAP_479a8de4": {
   "en": "PAF Bipartite Matching Grouping",
   "zh": "PAF 二分图匹配分组",
   "level": "l3"
  },
  "CAP_c4140d99": {
   "en": "Heatmap and Tag Joint Prediction",
   "zh": "热图与 tag 联合预测",
   "level": "l3"
  },
  "CAP_91ba2b99": {
   "en": "Pull-Push Loss Training",
   "zh": "Pull-Push 损失训练",
   "level": "l3"
  },
  "CAP_8713f695": {
   "en": "High-Resolution Feature Pyramid with Multi-Resolution Supervision",
   "zh": "高分辨率特征金字塔与多分辨率监督",
   "level": "l3"
  },
  "CAP_2e2a1070": {
   "en": "Tag Distance Matching Decoding",
   "zh": "Tag 距离匹配解码",
   "level": "l3"
  },
  "CAP_77fcc196": {
   "en": "Adaptive Convolution via Pixel-wise Spatial Transformer",
   "zh": "像素级空间变换器自适应卷积",
   "level": "l3"
  },
  "CAP_cd89d9d7": {
   "en": "Multi-Branch Disentangled Keypoint Regression",
   "zh": "多分支解耦关键点回归",
   "level": "l3"
  },
  "CAP_40c4d865": {
   "en": "Person Center Heatmap and Offset Decoding",
   "zh": "Person Center 热图与偏移解码",
   "level": "l3"
  },
  "CAP_c8293ca0": {
   "en": "OKS Rescore Network Post-processing",
   "zh": "OKS 重打分网络后处理",
   "level": "l3"
  },
  "CAP_0827c8b7": {
   "en": "Pose Object Detection",
   "zh": "姿态目标检测",
   "level": "l3"
  },
  "CAP_57bec918": {
   "en": "Keypoint Object Detection",
   "zh": "关键点目标检测",
   "level": "l3"
  },
  "CAP_ba0a10f9": {
   "en": "Pose and Keypoint Object Fusion",
   "zh": "姿态与关键点目标融合",
   "level": "l3"
  },
  "CAP_5ae64972": {
   "en": "Occupancy Grid Map Loading",
   "zh": "占用栅格地图加载",
   "level": "l3"
  },
  "CAP_eaaa08bf": {
   "en": "Polygon Coverage Workspace Setup",
   "zh": "多边形覆盖工作区初始化",
   "level": "l3"
  },
  "CAP_718da786": {
   "en": "Coverage Waypoint PoseArray Publish",
   "zh": "覆盖路径点 PoseArray 发布",
   "level": "l3"
  },
  "CAP_1fd6a96f": {
   "en": "Coverage Path Coordinate Transform and Obstacle Inflation",
   "zh": "覆盖路径坐标变换与障碍退避",
   "level": "l3"
  },
  "CAP_7bb50d7c": {
   "en": "Field Import and CRS Transform",
   "zh": "田块导入与坐标变换",
   "level": "l3"
  },
  "CAP_df051185": {
   "en": "Constant Width Headland Generation",
   "zh": "等宽头地生成",
   "level": "l3"
  },
  "CAP_5befe9ea": {
   "en": "Kinematic Smooth Turn Path Planning",
   "zh": "运动学平滑转弯路径规划",
   "level": "l3"
  },
  "CAP_31dcd5bd": {
   "en": "2D Branch-and-Bound Global Scan Matching",
   "zh": "2D 分支定界全局扫描匹配",
   "level": "l2"
  },
  "CAP_3c87f5e6": {
   "en": "Multi-Resolution Precomputation Grid Stack",
   "zh": "多分辨率预计算栅格金字塔",
   "level": "l3"
  },
  "CAP_11c2d381": {
   "en": "4-Way Translation Branch and Bound Search",
   "zh": "4 叉平移分支定界搜索",
   "level": "l3"
  },
  "CAP_2966786a": {
   "en": "Pixel-Accurate Score Refinement",
   "zh": "像素精确匹配分数精化",
   "level": "l3"
  },
  "CAP_41eef1b4": {
   "en": "3D Branch-and-Bound Global Localization",
   "zh": "3D 分支定界全局定位",
   "level": "l2"
  },
  "CAP_a7cdddb6": {
   "en": "Sparse Hash Multi-Resolution Voxel Map",
   "zh": "稀疏哈希多分辨率体素地图",
   "level": "l3"
  },
  "CAP_a857329c": {
   "en": "Roto-Translational Branch and Bound Search",
   "zh": "旋转-平移分支定界搜索",
   "level": "l3"
  },
  "CAP_85ea6ce0": {
   "en": "GPU Batched B&B Score Evaluation",
   "zh": "GPU 批处理 B&B 分数评估",
   "level": "l3"
  },
  "CAP_b04a1159": {
   "en": "Dynamic Bvh Broadphase",
   "zh": "动态 BVH 宽相碰撞检测",
   "level": "l2"
  },
  "CAP_0fcc3ac3": {
   "en": "Dynamic Aabb Tree Build And Incremental Update",
   "zh": "动态 AABB 树构建与增量更新",
   "level": "l3"
  },
  "CAP_4556626f": {
   "en": "Bvh Box Surface Area Heuristic Rebalancing",
   "zh": "BVH 包围盒面积启发式再平衡",
   "level": "l3"
  },
  "CAP_622de075": {
   "en": "Bvh Self And Double Tree Traversal Pair Output",
   "zh": "BVH 自遍历与双树遍历候选对输出",
   "level": "l3"
  },
  "CAP_682b5c7d": {
   "en": "Bvh Candidate Pair Output To Narrow Phase",
   "zh": "BVH 候选对送窄相接口",
   "level": "l3"
  },
  "CAP_ac0103b6": {
   "en": "Sweep And Prune Broadphase",
   "zh": "扫掠剪枝宽相碰撞检测",
   "level": "l2"
  },
  "CAP_52a93b9f": {
   "en": "Axis Endpoint Sort And Sweep",
   "zh": "轴端点排序与扫掠",
   "level": "l3"
  },
  "CAP_63251742": {
   "en": "Active Set Scan And Multi Axis Overlap Test",
   "zh": "活动集扫描与多轴重叠测试",
   "level": "l3"
  },
  "CAP_3fafbc78": {
   "en": "Sap Candidate Pair Output To Narrow Phase",
   "zh": "SAP 候选对送窄相接口",
   "level": "l3"
  },
  "CAP_649c1e84": {
   "en": "Spatial Subdivision Voxel Broadphase",
   "zh": "空间划分体素宽相碰撞检测",
   "level": "l2"
  },
  "CAP_cd9c7274": {
   "en": "Spatial Hash Bucket Query",
   "zh": "空间哈希桶查询",
   "level": "l3"
  },
  "CAP_a5878f5a": {
   "en": "Octree Multi Resolution Occupancy Query",
   "zh": "八叉树多分辨率占据查询",
   "level": "l3"
  },
  "CAP_56beed31": {
   "en": "Gpu Voxel Bitvector And Collision Query",
   "zh": "GPU 体素 BitVector 与碰撞查询",
   "level": "l3"
  },
  "CAP_a7ba4eee": {
   "en": "Spatial Subdivision Candidate Pair Output To Narrow Phase",
   "zh": "空间划分候选对送窄相接口",
   "level": "l3"
  },
  "CAP_c6dd0102": {
   "en": "LLM Finetune Direct BT Generation",
   "zh": "LLM 微调直生行为树",
   "level": "l2"
  },
  "CAP_07fef40a": {
   "en": "BT Instruction Finetuning Dataset Synthesis",
   "zh": "BT 指令微调数据集合成",
   "level": "l3"
  },
  "CAP_26ca0b9f": {
   "en": "LLM Finetuning for BT Generation",
   "zh": "LLM 微调生成行为树",
   "level": "l3"
  },
  "CAP_b2d9650d": {
   "en": "Generated BT Syntax Semantic Validation",
   "zh": "生成 BT 语法语义校验",
   "level": "l3"
  },
  "CAP_73ef1c61": {
   "en": "LLM In-Context Prompting BT Generation",
   "zh": "LLM 上下文提示生行为树",
   "level": "l2"
  },
  "CAP_324f8b04": {
   "en": "BT Prompt Template Assembly",
   "zh": "BT 提示模板组装",
   "level": "l3"
  },
  "CAP_ffea4706": {
   "en": "LLM Zero Few Shot BT Generation",
   "zh": "LLM 零/少样本 BT 生成",
   "level": "l3"
  },
  "CAP_4040e5bc": {
   "en": "LLM Self-Refinement BT Correction",
   "zh": "LLM 自修正 BT 校正",
   "level": "l3"
  },
  "CAP_eed7fc44": {
   "en": "Symbolic Planner to BT Translation",
   "zh": "符号规划器转行为树",
   "level": "l2"
  },
  "CAP_8bb9478f": {
   "en": "PDDL HTN Plan Solving",
   "zh": "PDDL/HTN 计划求解",
   "level": "l3"
  },
  "CAP_4e1d3820": {
   "en": "Plan to BT Translation",
   "zh": "计划转行为树",
   "level": "l3"
  },
  "CAP_0c4790b8": {
   "en": "BT Property Formal Verification",
   "zh": "BT 性质形式化校验",
   "level": "l3"
  },
  "CAP_51138bc2": {
   "en": "Learning Based BT Generation",
   "zh": "学习式行为树生成",
   "level": "l2"
  },
  "CAP_0f4aecdf": {
   "en": "BT Genome Encoding and GP Search",
   "zh": "BT 基因编码与遗传规划搜索",
   "level": "l3"
  },
  "CAP_6706611a": {
   "en": "BT from Demonstration Induction",
   "zh": "示范归纳行为树生成",
   "level": "l3"
  },
  "CAP_05edd04d": {
   "en": "RL-based BT Parameter Optimization",
   "zh": "强化学习优化 BT 参数",
   "level": "l3"
  },
  "CAP_7d54b4b0": {
   "en": "Simulated BT Evaluation and Selection",
   "zh": "仿真 BT 评测与选优",
   "level": "l3"
  },
  "CAP_add108ad": {
   "en": "BT Runtime Deployment",
   "zh": "行为树运行时部署",
   "level": "l2"
  },
  "CAP_02d3234a": {
   "en": "Behavior Tree Load And Registration",
   "zh": "行为树加载与节点注册",
   "level": "l3"
  },
  "CAP_896d2e0e": {
   "en": "BT Condition Node Plugin Registration",
   "zh": "BT 条件节点插件注册",
   "level": "l3"
  },
  "CAP_b8366fc2": {
   "en": "Condition Node Blackboard Input Binding",
   "zh": "条件节点黑板输入端口绑定",
   "level": "l3"
  },
  "CAP_01b0f694": {
   "en": "Tick-based Condition Node Evaluation",
   "zh": "Tick 周期条件节点同步评估",
   "level": "l3"
  },
  "CAP_e5e7fec9": {
   "en": "Blackboard Client Registration",
   "zh": "黑板客户端注册与变量访问授权",
   "level": "l3"
  },
  "CAP_c3a23bed": {
   "en": "Blackboard Condition Behaviour Assembly",
   "zh": "黑板条件行为装配",
   "level": "l3"
  },
  "CAP_7fcb9a13": {
   "en": "Blackboard Variable Write Notification",
   "zh": "黑板变量写入与变更通知",
   "level": "l3"
  },
  "CAP_c409bf75": {
   "en": "Change-triggered Condition Re-evaluation",
   "zh": "变更触发条件行为重评估",
   "level": "l3"
  },
  "CAP_2efca4b6": {
   "en": "Blackboard Status Reflection",
   "zh": "BlackboardToStatus 跨子树状态反射",
   "level": "l3"
  },
  "CAP_fe93f34c": {
   "en": "ActivityStream Condition Audit",
   "zh": "ActivityStream 条件变更审计",
   "level": "l3"
  },
  "CAP_02fe1980": {
   "en": "PLEXIL Node Condition Declaration",
   "zh": "PLEXIL 节点生命周期条件声明",
   "level": "l3"
  },
  "CAP_5315b22d": {
   "en": "PLEXIL Lookup State Binding",
   "zh": "PLEXIL Lookup 外部状态查询绑定",
   "level": "l3"
  },
  "CAP_47d977c1": {
   "en": "PLEXIL Executive State Transition Gating",
   "zh": "PLEXIL 执行器条件门控状态转换",
   "level": "l3"
  },
  "CAP_4889dd74": {
   "en": "PLEXIL InvariantCondition Violation Handling",
   "zh": "PLEXIL InvariantCondition 违反失败处理",
   "level": "l3"
  },
  "CAP_62ec2a0a": {
   "en": "BT IfThenElse/WhileDoElse Control Flow Sugar",
   "zh": "BT IfThenElse/WhileDoElse 控制流语法糖",
   "level": "l3"
  },
  "CAP_ded3cde7": {
   "en": "BT Composite Halt Cleanup",
   "zh": "BT 复合节点 halt 语义与子节点状态清理",
   "level": "l3"
  },
  "CAP_fa8751fd": {
   "en": "BT Timeout/Delay Timer Decorators",
   "zh": "BT 超时/延迟计时器装饰器（有状态）",
   "level": "l3"
  },
  "CAP_42d09819": {
   "en": "BT Synchronous Action Node",
   "zh": "BT 同步动作节点（SyncActionNode）",
   "level": "l3"
  },
  "CAP_89986b76": {
   "en": "BT Stateful Asynchronous Action Node",
   "zh": "BT 异步有状态动作节点（StatefulActionNode）",
   "level": "l3"
  },
  "CAP_7826ec1c": {
   "en": "BT Coroutine/Threaded Action Node",
   "zh": "BT 协程/线程动作节点（CoroActionNode/ThreadedAction）",
   "level": "l3"
  },
  "CAP_36b30bd5": {
   "en": "BT PipelineSequence Compute-Execute-Monitor",
   "zh": "BT PipelineSequence 计算→执行→监控流水线",
   "level": "l3"
  },
  "CAP_fa80c89a": {
   "en": "BT PersistentSequence Cross-Retry Position Hold",
   "zh": "BT PersistentSequence 跨重试位置保持",
   "level": "l3"
  },
  "CAP_f1058da1": {
   "en": "BT TryCatch Sequence + Cleanup",
   "zh": "BT TryCatch Sequence + cleanup 子节点",
   "level": "l3"
  },
  "CAP_cb6ff19d": {
   "en": "BT ControlFlowDecorators",
   "zh": "控制流装饰器",
   "level": "l3"
  },
  "CAP_e1be6a1f": {
   "en": "BT ControlFlowCompositeNode",
   "zh": "BT控制流复合节点",
   "level": "l3"
  },
  "CAP_ea3f13fe": {
   "en": "Navigation Behavior Tree Loading",
   "zh": "导航行为树加载与构造",
   "level": "l2"
  },
  "CAP_a21feeb5": {
   "en": "Task-Level BT XML Path Selection",
   "zh": "任务级行为树路径选择",
   "level": "l3"
  },
  "CAP_960662f2": {
   "en": "BT XML Instantiation",
   "zh": "行为树XML实例化",
   "level": "l3"
  },
  "CAP_773ba71c": {
   "en": "BT Goal Blackboard Injection",
   "zh": "行为树目标黑板注入",
   "level": "l3"
  },
  "CAP_cbb8d8f5": {
   "en": "BT Runtime Tick Execution",
   "zh": "行为树运行时tick执行",
   "level": "l3"
  },
  "CAP_41c95511": {
   "en": "BT Lifecycle Halt Cleanup",
   "zh": "行为树生命周期停止与清理",
   "level": "l3"
  },
  "CAP_c0e854a5": {
   "en": "XML Round-Trip BT Restructuring",
   "zh": "XML往返式行为树结构重构",
   "level": "l2"
  },
  "CAP_59041166": {
   "en": "BT XML Serialization",
   "zh": "行为树XML序列化",
   "level": "l3"
  },
  "CAP_d36ba0bc": {
   "en": "XML Subtree Anchor Location",
   "zh": "XML子树锚点定位",
   "level": "l3"
  },
  "CAP_c203bb3a": {
   "en": "XML Subtree Structure Editing",
   "zh": "XML子树结构编辑",
   "level": "l3"
  },
  "CAP_5ba246af": {
   "en": "BT Reinstantiation",
   "zh": "行为树重实例化",
   "level": "l3"
  },
  "CAP_cdd7c883": {
   "en": "BT Structural Verification",
   "zh": "行为树结构完整性验证",
   "level": "l3"
  },
  "CAP_f368c8f8": {
   "en": "Imperative BT Subtree Modification",
   "zh": "命令式行为树子树修改",
   "level": "l2"
  },
  "CAP_80807518": {
   "en": "Runtime Subtree State Assessment",
   "zh": "运行时子树状态评估",
   "level": "l3"
  },
  "CAP_af206fcf": {
   "en": "Subtree Safe Halt",
   "zh": "子树安全停机",
   "level": "l3"
  },
  "CAP_a49a8988": {
   "en": "Composite Node API Traversal",
   "zh": "复合节点API遍历",
   "level": "l3"
  },
  "CAP_a886b127": {
   "en": "Imperative Subtree Add Remove",
   "zh": "命令式子树增删改",
   "level": "l3"
  },
  "CAP_bd3c6755": {
   "en": "Post-Modification State Reset",
   "zh": "修改后状态重置与恢复",
   "level": "l3"
  },
  "CAP_419ae271": {
   "en": "BT Subtree XML Composition",
   "zh": "BT.CPP 子树 XML 组合",
   "level": "l2"
  },
  "CAP_1d909ed6": {
   "en": "Multi-XML Subtree Loading",
   "zh": "多 XML 文件递归子树加载",
   "level": "l3"
  },
  "CAP_dc9c112f": {
   "en": "Subtree Reference and Parameterization",
   "zh": "SubTree 节点引用与端口重映射",
   "level": "l3"
  },
  "CAP_4a56df0e": {
   "en": "Blackboard Stack Isolation",
   "zh": "Blackboard 栈隔离",
   "level": "l3"
  },
  "CAP_69eacca9": {
   "en": "Subtree Library Visualization",
   "zh": "Groot2 子树库可视化管理",
   "level": "l3"
  },
  "CAP_06318dfe": {
   "en": "Nav2 BT Plugin and Template Library",
   "zh": "Nav2 BT 插件库与任务模板",
   "level": "l2"
  },
  "CAP_f4ead0ad": {
   "en": "BT Navigator Scheduling",
   "zh": "bt_navigator 调度与端口契约",
   "level": "l3"
  },
  "CAP_546ca49a": {
   "en": "Py Trees Behaviour Composite Library",
   "zh": "py_trees 行为积木组合库",
   "level": "l2"
  },
  "CAP_87eb1222": {
   "en": "Behaviour Base Class Lifecycle",
   "zh": "Behaviour 基类生命周期方法",
   "level": "l3"
  },
  "CAP_e84044ba": {
   "en": "Decorators as Reusable Modifiers",
   "zh": "Decorators 可复用行为修饰器",
   "level": "l3"
  },
  "CAP_0974e903": {
   "en": "Py Trees Blackboard and Idioms",
   "zh": "Blackboard 数据流与 Idioms 模式资产",
   "level": "l3"
  },
  "CAP_30be26ac": {
   "en": "Py Trees ROS2 Wrappers",
   "zh": "py_trees_ros ROS2 通信积木",
   "level": "l3"
  },
  "CAP_2abd8c70": {
   "en": "Factory Function Subtree Reuse",
   "zh": "工厂函数子树复用模式",
   "level": "l3"
  },
  "CAP_59c571e9": {
   "en": "BT Testing Debugging",
   "zh": "行为树测试与调试",
   "level": "l2"
  },
  "CAP_09bc7a13": {
   "en": "Live BT Execution Visualization",
   "zh": "行为树实时执行可视化",
   "level": "l2"
  },
  "CAP_e783134a": {
   "en": "BT Live State Publish",
   "zh": "行为树执行状态实时发布",
   "level": "l3"
  },
  "CAP_a0b5efcf": {
   "en": "BT Topology Active Path Render",
   "zh": "行为树拓扑与活动路径渲染",
   "level": "l3"
  },
  "CAP_f0741d5e": {
   "en": "BT Breakpoint Blackboard Inspection",
   "zh": "行为树断点与黑板检查",
   "level": "l3"
  },
  "CAP_52c12acc": {
   "en": "BT Execution Log Record",
   "zh": "行为树执行日志落盘",
   "level": "l3"
  },
  "CAP_70859365": {
   "en": "BT Test Node Fixture Assembly",
   "zh": "行为树测试节点装配",
   "level": "l3"
  },
  "CAP_45b08542": {
   "en": "BT Subtree Assertion Test",
   "zh": "行为树子树断言测试",
   "level": "l3"
  },
  "CAP_828dc6b9": {
   "en": "BT Regression CI Integration",
   "zh": "行为树回归测试 CI 集成",
   "level": "l3"
  },
  "CAP_07706fd0": {
   "en": "Communication Budget Orchestrator",
   "zh": "通信预算拍卖编排",
   "level": "l2"
  },
  "CAP_dfb48992": {
   "en": "Comm Round Budget Init",
   "zh": "通信轮次预算初始化",
   "level": "l3"
  },
  "CAP_eaf03df7": {
   "en": "Comm Budget Reservation",
   "zh": "通信预算预留",
   "level": "l3"
  },
  "CAP_6d83af70": {
   "en": "SIT Auction Execution",
   "zh": "SIT 拍卖执行",
   "level": "l2"
  },
  "CAP_9c1ce10b": {
   "en": "Auction Completion Check",
   "zh": "拍卖完成度检查",
   "level": "l3"
  },
  "CAP_26995e76": {
   "en": "Greedy Fallback Allocation",
   "zh": "贪心兜底分配",
   "level": "l3"
  },
  "CAP_bcdaf774": {
   "en": "CBBA Budget Configuration",
   "zh": "CBBA 容量预算配置",
   "level": "l2"
  },
  "CAP_5d6529f8": {
   "en": "Bundle Size Budget Init",
   "zh": "捆包容量预算初始化",
   "level": "l3"
  },
  "CAP_028ecdd8": {
   "en": "CBBA Score Function Setup",
   "zh": "CBBA 收益函数配置",
   "level": "l3"
  },
  "CAP_3ece519c": {
   "en": "CBBA Consensus",
   "zh": "CBBA 共识对账",
   "level": "l3"
  },
  "CAP_e811c4dd": {
   "en": "CBBA Bundle Release DMG",
   "zh": "CBBA 捆包释放",
   "level": "l3"
  },
  "CAP_83ff9363": {
   "en": "CBBA Result Verification",
   "zh": "CBBA 结果验证",
   "level": "l2"
  },
  "CAP_1ea189af": {
   "en": "Bundle Integrity Check",
   "zh": "捆包完整性检查",
   "level": "l3"
  },
  "CAP_d8718f88": {
   "en": "CBBA Convergence Check",
   "zh": "CBBA 收敛检查",
   "level": "l3"
  },
  "CAP_dd4aa0fa": {
   "en": "Dual Budget Auction Orchestrator",
   "zh": "双预算拍卖编排",
   "level": "l2"
  },
  "CAP_acd68213": {
   "en": "Dual Budget Feasibility Check",
   "zh": "双预算可行性检查",
   "level": "l3"
  },
  "CAP_859557d8": {
   "en": "Energy Aware Local Cost Bidding",
   "zh": "能量感知本地成本出价",
   "level": "l3"
  },
  "CAP_d357bf9d": {
   "en": "Low Battery Task Reassignment",
   "zh": "低电量任务回池重拍",
   "level": "l3"
  },
  "CAP_320a6711": {
   "en": "3D Scene Graph Semantic Search",
   "zh": "3D场景图语义搜索",
   "level": "l3"
  },
  "CAP_7b98f910": {
   "en": "Simulator Verification and Replanning",
   "zh": "模拟器验证与重规划",
   "level": "l3"
  },
  "CAP_76a4524b": {
   "en": "Scene Graph Simulator Verification",
   "zh": "场景图模拟器验证",
   "level": "l3"
  },
  "CAP_4b025ad4": {
   "en": "Floor Plan Rasterization",
   "zh": "楼层平面图栅格化",
   "level": "l3"
  },
  "CAP_511d9e82": {
   "en": "Floor Plan Wall Segment Extraction",
   "zh": "楼层平面图墙线提取",
   "level": "l3"
  },
  "CAP_c03181d1": {
   "en": "Architectural Plan Graph Prior Extraction",
   "zh": "建筑平面图先验图提取",
   "level": "l3"
  },
  "CAP_068237a8": {
   "en": "Voronoi Skeleton Graph Construction",
   "zh": "Voronoi 骨架图构建",
   "level": "l3"
  },
  "CAP_c64975e6": {
   "en": "Topological Graph Navigation Pipeline",
   "zh": "拓扑图导航流水线",
   "level": "l3"
  },
  "CAP_991c1c4e": {
   "en": "Voronoi Segment Graph Construction",
   "zh": "Voronoi 段图构建",
   "level": "l3"
  },
  "CAP_199c5041": {
   "en": "Voronoi Clearance-Aware Path Extraction",
   "zh": "Voronoi 安全间隙路径提取",
   "level": "l3"
  },
  "CAP_41c6f0df": {
   "en": "Scene Graph Layer Collapse",
   "zh": "场景图分层折叠",
   "level": "l3"
  },
  "CAP_8bf05dff": {
   "en": "Semantic Graph Search",
   "zh": "语义图搜索",
   "level": "l3"
  },
  "CAP_d10383e1": {
   "en": "Cross-Room Topology Path Planning",
   "zh": "跨房间拓扑路径规划",
   "level": "l3"
  },
  "CAP_29868538": {
   "en": "Hierarchical Semantic Path Planning",
   "zh": "分层语义路径规划",
   "level": "l3"
  },
  "CAP_0b4c4a8c": {
   "en": "Hierarchical Multi-Resolution A* Planning",
   "zh": "分层多分辨率A*规划",
   "level": "l3"
  },
  "CAP_2620131b": {
   "en": "Semantic Topological Map Serialization and Navigation",
   "zh": "语义拓扑地图序列化与导航",
   "level": "l3"
  },
  "CAP_387ed9c4": {
   "en": "Scene-Graph Grounded Goal Formulation",
   "zh": "场景图接地目标形式化",
   "level": "l3"
  },
  "CAP_d5bb772b": {
   "en": "Cross-Floor Voronoi Navigation Graph Construction",
   "zh": "跨楼层Voronoi导航图构建",
   "level": "l3"
  },
  "CAP_376c133c": {
   "en": "Deep Learning End-to-End Wall Extraction",
   "zh": "深度学习端到端墙线提取",
   "level": "l3"
  },
  "CAP_a9b3c242": {
   "en": "Hierarchical Cross-Floor Path Planning",
   "zh": "跨楼层分层路径规划",
   "level": "l2"
  },
  "CAP_553f22eb": {
   "en": "Cross-Floor Vertical Topology Planning",
   "zh": "跨楼层垂直拓扑路径规划",
   "level": "l3"
  },
  "CAP_f60c9617": {
   "en": "Cross-Floor Path Assembly and Execution",
   "zh": "跨楼层路径组装与执行",
   "level": "l2"
  },
  "CAP_c1c114c5": {
   "en": "Hierarchical Path Expansion and Fallback",
   "zh": "分层路径展开与回退",
   "level": "l3"
  },
  "CAP_5e74078c": {
   "en": "Segmented Navigation Execution and Goal Handoff",
   "zh": "分段导航执行与连续交接",
   "level": "l3"
  },
  "CAP_9fd35404": {
   "en": "FloorPlan & Topology Cross-Floor Routing",
   "zh": "楼层平面图与语义拓扑跨楼层路由",
   "level": "l2"
  },
  "CAP_edc4488c": {
   "en": "Classical Three-Phase BFT SMR",
   "zh": "经典三阶段投票拜占庭容错状态机复制",
   "level": "l2"
  },
  "CAP_bea05fd9": {
   "en": "Pipelined Linear-View BFT",
   "zh": "线性视图切换流水线拜占庭容错共识",
   "level": "l2"
  },
  "CAP_f5585060": {
   "en": "Asynchronous BFT via ACS Decomposition",
   "zh": "异步拜占庭容错共识 ACS 分解",
   "level": "l2"
  },
  "CAP_527a00dd": {
   "en": "PBFT Replica and Key Configuration",
   "zh": "PBFT 副本组与密钥配置",
   "level": "l3"
  },
  "CAP_ec685db0": {
   "en": "PBFT Pre-prepare Leader Proposal",
   "zh": "PBFT 主节点 Pre-prepare 提案",
   "level": "l3"
  },
  "CAP_640a8785": {
   "en": "PBFT Prepare All-to-all Voting",
   "zh": "PBFT Prepare 全对全投票",
   "level": "l3"
  },
  "CAP_5f4838fc": {
   "en": "PBFT Commit and Request Delivery",
   "zh": "PBFT Commit 与请求交付",
   "level": "l3"
  },
  "CAP_ed0b83c4": {
   "en": "PBFT View-change and New-view",
   "zh": "PBFT 视图切换与新视图构造",
   "level": "l3"
  },
  "CAP_febb552d": {
   "en": "PBFT Checkpoint and State Transfer",
   "zh": "PBFT 检查点与状态转移",
   "level": "l3"
  },
  "CAP_fed5b370": {
   "en": "HotStuff Validator Set and Proposer Setup",
   "zh": "HotStuff 验证人集与提案者配置",
   "level": "l3"
  },
  "CAP_ab95a4a8": {
   "en": "Tendermint Round State Machine Entry",
   "zh": "Tendermint 轮次状态机进入",
   "level": "l3"
  },
  "CAP_a9fd37d3": {
   "en": "Tendermint Prevote and POLC Formation",
   "zh": "Tendermint Prevote 投票与 POLC 形成",
   "level": "l3"
  },
  "CAP_c0ffb332": {
   "en": "Tendermint Precommit and Block Commit",
   "zh": "Tendermint Precommit 与区块提交",
   "level": "l3"
  },
  "CAP_96f382f8": {
   "en": "HotStuff Three-chain Voting with Threshold QC",
   "zh": "HotStuff 三链投票与门限签名 QC",
   "level": "l3"
  },
  "CAP_098bd301": {
   "en": "HotStuff Pipeline and Linear View-change",
   "zh": "HotStuff 流水线与线性视图切换",
   "level": "l3"
  },
  "CAP_b156fe39": {
   "en": "HoneyBadger Epoch and DKG Initialization",
   "zh": "HoneyBadger Epoch 与 DKG 初始化",
   "level": "l3"
  },
  "CAP_ba5c7806": {
   "en": "HoneyBadger ACS Subset Coordination",
   "zh": "HoneyBadger ACS 子集协调",
   "level": "l3"
  },
  "CAP_729c3032": {
   "en": "HoneyBadger RBC Reliable Broadcast",
   "zh": "HoneyBadger RBC 可靠广播",
   "level": "l3"
  },
  "CAP_3c587154": {
   "en": "HoneyBadger ABA Binary Agreement",
   "zh": "HoneyBadger ABA 异步二元协定",
   "level": "l3"
  },
  "CAP_5474c2d7": {
   "en": "HoneyBadger Threshold Encryption and Coin",
   "zh": "HoneyBadger 门限加密与共性 Coin",
   "level": "l3"
  },
  "CAP_0b5b8070": {
   "en": "Umbrella A",
   "zh": "测试伞形A",
   "level": "l2"
  },
  "CAP_0ee13628": {
   "en": "Sub Cap A",
   "zh": "子能力A",
   "level": "l3"
  },
  "CAP_1d706f28": {
   "en": "Sub Cap B",
   "zh": "子能力B",
   "level": "l3"
  },
  "CAP_e7039dfe": {
   "en": "Sub Cap C",
   "zh": "子能力C",
   "level": "l3"
  },
  "CAP_fb1a0d82": {
   "en": "Cable Grasp Planning",
   "zh": "线缆抓取规划",
   "level": "l1"
  },
  "CAP_0cda2c7a": {
   "en": "GL-Signature Topology Grasp Planning",
   "zh": "GL签名拓扑抓取规划",
   "level": "l2"
  },
  "CAP_2579179b": {
   "en": "Grasp Loop H-Signature Computation",
   "zh": "抓取环同伦签名计算",
   "level": "l3"
  },
  "CAP_e50b46d2": {
   "en": "GL-Signature Topology Grasp Filter",
   "zh": "GL签名拓扑抓取过滤",
   "level": "l3"
  },
  "CAP_8fd417d5": {
   "en": "Dual-Arm DLO Threading Regrasp Planner",
   "zh": "双臂DLO穿线重抓取规划器",
   "level": "l3"
  },
  "CAP_82d05f16": {
   "en": "DEFT Differentiable Physics Grasp Planning",
   "zh": "DEFT可微物理抓取规划",
   "level": "l2"
  },
  "CAP_24aa9bdd": {
   "en": "BDLO Differentiable Branched Elastic Rod Physics",
   "zh": "BDLO可微分支弹性杆物理建模",
   "level": "l3"
  },
  "CAP_f35c7f34": {
   "en": "BDLO GNN Residual Correction",
   "zh": "BDLO图神经网络残差校正",
   "level": "l3"
  },
  "CAP_fbdbf9e2": {
   "en": "IPOPT BDLO Shape Matching Thread Insertion Planner",
   "zh": "IPOPT BDLO形状匹配穿线规划器",
   "level": "l3"
  },
  "CAP_6b085890": {
   "en": "SoftGym RL Grasp Policy",
   "zh": "SoftGym强化学习抓取策略",
   "level": "l2"
  },
  "CAP_686a5199": {
   "en": "SoftGym Rope Manipulation Environment",
   "zh": "SoftGym绳索操作环境",
   "level": "l3"
  },
  "CAP_9e6a9ab9": {
   "en": "SAC Rope Grasp Policy Training",
   "zh": "SAC绳索抓取策略训练",
   "level": "l3"
  },
  "CAP_81ea4121": {
   "en": "Picker Grasp Point Inference",
   "zh": "Picker抓取点推理",
   "level": "l3"
  },
  "CAP_6fa34cdc": {
   "en": "Force-Compliance Cable Insertion Pipeline",
   "zh": "力控柔顺线缆插拔流水线",
   "level": "l2"
  },
  "CAP_bfc5bce8": {
   "en": "Cable Slack Pre-tensioning",
   "zh": "线缆余量预紧",
   "level": "l3"
  },
  "CAP_137955c9": {
   "en": "Coarse Approach Trajectory",
   "zh": "粗对准接近轨迹规划",
   "level": "l3"
  },
  "CAP_6d5277d1": {
   "en": "Cartesian Impedance Mode Activation",
   "zh": "笛卡尔阻抗模式激活",
   "level": "l3"
  },
  "CAP_2b0bde27": {
   "en": "Cable Tension Release and Withdrawal",
   "zh": "线缆张力释放与退出",
   "level": "l3"
  },
  "CAP_e88d5e55": {
   "en": "Floating-Base Hot Stab Spiral Search Insertion",
   "zh": "浮游基座 Hot Stab 螺旋搜索插入",
   "level": "l3"
  },
  "CAP_7016e1a4": {
   "en": "Imitation-Learning-Based Cable Insertion Pipeline",
   "zh": "模仿学习驱动的线缆插拔流水线",
   "level": "l2"
  },
  "CAP_b00f4c56": {
   "en": "Demonstration Dataset Validation",
   "zh": "示教数据集验证",
   "level": "l3"
  },
  "CAP_aedb9c4c": {
   "en": "Policy Architecture Selection",
   "zh": "策略架构选型",
   "level": "l3"
  },
  "CAP_cd4e769d": {
   "en": "Dataset Preprocessing and Normalization",
   "zh": "数据集预处理与归一化",
   "level": "l3"
  },
  "CAP_2541dc65": {
   "en": "Checkpoint Selection and Validation",
   "zh": "检查点选择与验证",
   "level": "l3"
  },
  "CAP_a7ca4a2f": {
   "en": "Static ALOHA Dataset Integration",
   "zh": "静态 ALOHA 数据集集成",
   "level": "l3"
  },
  "CAP_a93d256f": {
   "en": "Visual-Tactile Servoing Cable Insertion Pipeline",
   "zh": "视觉-触觉伺服线缆插拔流水线",
   "level": "l2"
  },
  "CAP_4039f0a6": {
   "en": "Connector Visual Feature Extraction",
   "zh": "连接器视觉特征提取",
   "level": "l3"
  },
  "CAP_5f435698": {
   "en": "Visual Completion Verification",
   "zh": "视觉完成验证",
   "level": "l3"
  },
  "CAP_033efe20": {
   "en": "Multi-modal Completion Decision",
   "zh": "多模态完成决策",
   "level": "l3"
  },
  "CAP_a1aab207": {
   "en": "Visual Servoing Tool Alignment",
   "zh": "视觉伺服工具对准",
   "level": "l3"
  },
  "CAP_6b207e43": {
   "en": "Underwater Visual Servoing for Grasping",
   "zh": "水下抓取视觉伺服",
   "level": "l3"
  },
  "CAP_bd7d14a8": {
   "en": "GelSight Mini Tactile Sensor Setup",
   "zh": "GelSight Mini 触觉传感器配置",
   "level": "l3"
  },
  "CAP_2ff7eac7": {
   "en": "Workspace Initialization",
   "zh": "工作台初始化",
   "level": "l3"
  },
  "CAP_3998014b": {
   "en": "Hierarchical Primitive Execution",
   "zh": "分层原语执行",
   "level": "l2"
  },
  "CAP_c22f6c37": {
   "en": "Single Clip Insertion Policy",
   "zh": "单夹插入原语策略",
   "level": "l3"
  },
  "CAP_bc196a2b": {
   "en": "Highlevel Primitive Selection",
   "zh": "高级原语选择",
   "level": "l3"
  },
  "CAP_ebfc9d1d": {
   "en": "Failure Recovery Sequencing",
   "zh": "失败恢复序列",
   "level": "l3"
  },
  "CAP_7df97e94": {
   "en": "Clip Advance",
   "zh": "推进到下一夹子",
   "level": "l3"
  },
  "CAP_5a39469c": {
   "en": "Task Termination",
   "zh": "任务终止判定",
   "level": "l3"
  },
  "CAP_ae95a7c3": {
   "en": "Interactive Finetune Adaptation",
   "zh": "交互式微调适配",
   "level": "l3"
  },
  "CAP_9e53bd70": {
   "en": "Dual Arm Constrained Modeling",
   "zh": "双臂受限环境建模",
   "level": "l3"
  },
  "CAP_e18a0343": {
   "en": "Global Planner DLO RRT",
   "zh": "DLO 双向 RRT 全局规划器",
   "level": "l3"
  },
  "CAP_d539f0bf": {
   "en": "Closed-loop MPC Execution",
   "zh": "闭环 MPC 执行",
   "level": "l2"
  },
  "CAP_04332aee": {
   "en": "Constrained MPC DLO",
   "zh": "DLO 约束 MPC 跟踪",
   "level": "l3"
  },
  "CAP_1a1b9c63": {
   "en": "Dual Arm Whole Body Execution",
   "zh": "双臂全身无碰撞执行",
   "level": "l3"
  },
  "CAP_668847cb": {
   "en": "Task Completion Validation",
   "zh": "任务完成与误差验证",
   "level": "l3"
  },
  "CAP_ee578b1d": {
   "en": "CAD Offline Harness Path Design",
   "zh": "CAD 离线线束路径设计",
   "level": "l2"
  },
  "CAP_14c16896": {
   "en": "Electrical Topology CAD Modeling",
   "zh": "电气拓扑 CAD 建模",
   "level": "l3"
  },
  "CAP_cdd76dca": {
   "en": "CAD Harness Path Generation",
   "zh": "CAD 线束路径生成",
   "level": "l3"
  },
  "CAP_6973aad4": {
   "en": "Harness Flattening 2D Drawing",
   "zh": "线束展平与 2D 工程图",
   "level": "l3"
  },
  "CAP_3810c8bc": {
   "en": "Offline Programming Trajectory",
   "zh": "离线编程轨迹生成",
   "level": "l3"
  },
  "CAP_936fa240": {
   "en": "Visual Servoing Execution and Quality Inspection",
   "zh": "视觉伺服执行与质检",
   "level": "l2"
  },
  "CAP_ef8c7731": {
   "en": "Visual Servoing Execution",
   "zh": "视觉伺服布线执行",
   "level": "l3"
  },
  "CAP_803e2ea3": {
   "en": "Assembly Quality Inspection",
   "zh": "装配质量视觉检测",
   "level": "l3"
  },
  "CAP_14f17674": {
   "en": "Moving Target Tracking Adaptation",
   "zh": "移动目标跟踪适配",
   "level": "l3"
  },
  "CAP_89305f52": {
   "en": "Vision Geometric Keypoint Cable Shape Estimation",
   "zh": "视觉几何关键点线缆形状估计",
   "level": "l2"
  },
  "CAP_0fad8ace": {
   "en": "DLO Keypoint Detection",
   "zh": "DLO 关键点检测",
   "level": "l3"
  },
  "CAP_c0b41f47": {
   "en": "Probabilistic Keypoint Labeling",
   "zh": "概率关键点标记排序",
   "level": "l3"
  },
  "CAP_0c2b9007": {
   "en": "Piecewise Spline Centerline Interpolation",
   "zh": "分段样条中心线插值",
   "level": "l3"
  },
  "CAP_6ded3767": {
   "en": "DLO Shape Tracking Under Occlusion",
   "zh": "遮挡下 DLO 形状时序追踪",
   "level": "l3"
  },
  "CAP_b3f8ef68": {
   "en": "Visuo Tactile Cable Shape Reconstruction",
   "zh": "视触跨模态线缆形状重建",
   "level": "l2"
  },
  "CAP_9197fe3b": {
   "en": "Foundation Model DLO Segmentation",
   "zh": "基础模型 DLO 实例分割",
   "level": "l3"
  },
  "CAP_8bae607b": {
   "en": "Active Tactile Occlusion Exploration",
   "zh": "主动触觉遮挡探索",
   "level": "l3"
  },
  "CAP_13ee1db0": {
   "en": "Cross Modal Point Cloud Fusion",
   "zh": "跨模态点云融合",
   "level": "l3"
  },
  "CAP_0c061611": {
   "en": "Endpoint Guided B Spline Cable Fitting",
   "zh": "端点引导 B 样条线缆拟合",
   "level": "l3"
  },
  "CAP_547bad17": {
   "en": "Physics Constrained Cosserat Cable Shape Estimation",
   "zh": "物理约束 Cosserat 线缆形状估计",
   "level": "l2"
  },
  "CAP_4c04aeee": {
   "en": "Cosserat Rod Forward Shape Solving",
   "zh": "Cosserat 弹性杆前向形状求解",
   "level": "l3"
  },
  "CAP_aa0641d2": {
   "en": "Vision Augmented Cosserat Jacobian",
   "zh": "视觉增强 Cosserat Jacobian",
   "level": "l3"
  },
  "CAP_9d70008c": {
   "en": "Cable Force From Shape Inversion",
   "zh": "线缆形状到力反演",
   "level": "l3"
  },
  "CAP_efe05c83": {
   "en": "Cosserat Rod Slender Structure Simulation",
   "zh": "Cosserat rod 细长结构仿真",
   "level": "l2"
  },
  "CAP_28c631dd": {
   "en": "Centerline & Director Field Discretization",
   "zh": "中心线与 director 场离散化",
   "level": "l3"
  },
  "CAP_3023b44e": {
   "en": "Lagrangian Internal Force Computation",
   "zh": "Lagrangian 内力计算",
   "level": "l3"
  },
  "CAP_18099973": {
   "en": "External Forces Forcing",
   "zh": "外部力施加",
   "level": "l3"
  },
  "CAP_f206bda2": {
   "en": "Cosserat Rod Boundary Conditions",
   "zh": "Cosserat rod 边界条件",
   "level": "l3"
  },
  "CAP_3e95a63e": {
   "en": "Symplectic Time Integration",
   "zh": "Symplectic 时间积分",
   "level": "l3"
  },
  "CAP_36faada0": {
   "en": "Self-Contact Detection & Resolution",
   "zh": "自接触检测与求解",
   "level": "l3"
  },
  "CAP_cc66350f": {
   "en": "Discrete Elastic Rods Cable Simulation",
   "zh": "离散弹性杆 cable 仿真",
   "level": "l2"
  },
  "CAP_733de538": {
   "en": "DER Node Chain & Bishop Frame Construction",
   "zh": "DER 节点链与 Bishop frame 构造",
   "level": "l3"
  },
  "CAP_d6e294be": {
   "en": "Discrete Curvature & Energy Evaluation",
   "zh": "离散曲率与能量计算",
   "level": "l3"
  },
  "CAP_f4c48fe5": {
   "en": "MuJoCo Cable Composite Configuration",
   "zh": "MuJoCo cable composite 配置",
   "level": "l3"
  },
  "CAP_46ceff2e": {
   "en": "MuJoCo Equality Constraint Solving",
   "zh": "MuJoCo 等式约束求解",
   "level": "l3"
  },
  "CAP_45d20bdd": {
   "en": "DER Self-Contact & Damping",
   "zh": "DER 自接触与阻尼",
   "level": "l3"
  },
  "CAP_f4c2403f": {
   "en": "Position-Based Cable Simulation",
   "zh": "基于位置的线缆仿真",
   "level": "l2"
  },
  "CAP_6848900f": {
   "en": "PBD Particle & Constraint Graph Construction",
   "zh": "PBD 粒子与约束图构造",
   "level": "l3"
  },
  "CAP_9c54efcb": {
   "en": "Constraint Projection Solver (PBD/XPBD)",
   "zh": "约束投影求解器",
   "level": "l3"
  },
  "CAP_9ae2c7e8": {
   "en": "PBD Cable Constraint Set (Distance/Bending/Bend-Twist)",
   "zh": "PBD cable 约束集",
   "level": "l3"
  },
  "CAP_24dfa231": {
   "en": "Cable Joint Constraint",
   "zh": "Cable Joint 约束",
   "level": "l3"
  },
  "CAP_aabd68e5": {
   "en": "PBD Velocity Update & Friction",
   "zh": "PBD 速度更新与摩擦",
   "level": "l3"
  },
  "CAP_c9d26d99": {
   "en": "PBD Collision Detection & Contact",
   "zh": "PBD 碰撞检测与接触",
   "level": "l3"
  },
  "CAP_5fc0df90": {
   "en": "Structure-from-Motion Mapping",
   "zh": "SfM建图",
   "level": "l3"
  },
  "CAP_767a839b": {
   "en": "Scene Coordinate Network Training",
   "zh": "场景坐标网络训练",
   "level": "l3"
  },
  "CAP_46446f01": {
   "en": "Per-Pixel Scene Coordinate Regression",
   "zh": "逐像素场景坐标回归",
   "level": "l3"
  },
  "CAP_46220146": {
   "en": "AprilTag ArUco Fiducial Marker Detection",
   "zh": "AprilTag ArUco标记检测",
   "level": "l3"
  },
  "CAP_c3ed346b": {
   "en": "Fiducial Frame-to-World Pose Transformation",
   "zh": "标记系到世界系位姿变换",
   "level": "l3"
  },
  "CAP_122a3868": {
   "en": "Real-time Camera Sensor Simulation",
   "zh": "实时相机传感器仿真",
   "level": "l2"
  },
  "CAP_28614b5e": {
   "en": "Physical Camera Ray Tracing",
   "zh": "物理相机光线追踪仿真",
   "level": "l2"
  },
  "CAP_80868b8d": {
   "en": "Camera Image Formation Pipeline",
   "zh": "相机模型图像形成管线",
   "level": "l2"
  },
  "CAP_7b909cc0": {
   "en": "Photometric Calibration Loading",
   "zh": "光度标定加载",
   "level": "l3"
  },
  "CAP_953e07f4": {
   "en": "Scene And Camera Configuration",
   "zh": "场景与相机配置",
   "level": "l3"
  },
  "CAP_21231d2d": {
   "en": "Lens Distortion Application",
   "zh": "镜头畸变施加",
   "level": "l3"
  },
  "CAP_df18a734": {
   "en": "Camera Noise Injection",
   "zh": "相机噪声注入",
   "level": "l3"
  },
  "CAP_1adb3db2": {
   "en": "Sensor Message Publishing",
   "zh": "传感器消息发布",
   "level": "l3"
  },
  "CAP_aed94963": {
   "en": "Camera Geometry Definition",
   "zh": "相机几何定义",
   "level": "l3"
  },
  "CAP_b333b74a": {
   "en": "Lens Model Configuration",
   "zh": "镜头模型配置",
   "level": "l3"
  },
  "CAP_1e3d31f0": {
   "en": "Lens Ray Generation",
   "zh": "镜头光线生成",
   "level": "l3"
  },
  "CAP_db7a5e1e": {
   "en": "Path Tracing Integration",
   "zh": "路径追踪积分",
   "level": "l3"
  },
  "CAP_6aea3e57": {
   "en": "Pixel Filtering And Tone Mapping",
   "zh": "像素滤波与色调映射",
   "level": "l3"
  },
  "CAP_55afeb19": {
   "en": "Bayer CFA And Demosaic",
   "zh": "Bayer 滤色与去马赛克",
   "level": "l3"
  },
  "CAP_6a98eec4": {
   "en": "EMVA 1288 Noise Injection",
   "zh": "EMVA 1288 噪声注入",
   "level": "l3"
  },
  "CAP_e2ca7aa6": {
   "en": "Shutter And Vignetting Effects",
   "zh": "快门与渐晕效应",
   "level": "l3"
  },
  "CAP_98b7f875": {
   "en": "Optimization-based Capability-Aware Allocation",
   "zh": "基于优化规划的能力感知分配",
   "level": "l2"
  },
  "CAP_43743df7": {
   "en": "Robot Capability Profiling",
   "zh": "机器人能力建模",
   "level": "l3"
  },
  "CAP_519031ba": {
   "en": "Task Requirement Vectorization",
   "zh": "任务需求向量化",
   "level": "l3"
  },
  "CAP_4e688544": {
   "en": "Capability Matching Constraint Formulation",
   "zh": "能力匹配约束构建",
   "level": "l3"
  },
  "CAP_0b6a2ff8": {
   "en": "Capability Affinity Scoring",
   "zh": "能力亲和度打分",
   "level": "l3"
  },
  "CAP_50dbbdf5": {
   "en": "Receding Horizon Allocation Solver",
   "zh": "滚动时域分配求解",
   "level": "l3"
  },
  "CAP_a07df1b6": {
   "en": "Capability Change Detection & Replan Trigger",
   "zh": "能力变化检测与重规划触发",
   "level": "l3"
  },
  "CAP_8af96be9": {
   "en": "Distributed Auction-based Capability-Aware Allocation",
   "zh": "基于分布式拍卖的能力感知分配",
   "level": "l2"
  },
  "CAP_70eaaeb4": {
   "en": "Capability Broadcast & Task Discovery",
   "zh": "能力广播与任务发现",
   "level": "l3"
  },
  "CAP_8aaca9c9": {
   "en": "Distributed Bundle Construction",
   "zh": "分布式任务打包",
   "level": "l3"
  },
  "CAP_5608f6a7": {
   "en": "Consensus Conflict Resolution",
   "zh": "共识冲突消解",
   "level": "l3"
  },
  "CAP_5d74a7ba": {
   "en": "Dynamic Task Reallocation",
   "zh": "动态任务重分配",
   "level": "l3"
  },
  "CAP_07c0d610f0": {
   "en": "Learning-based Capability-Aware Allocation",
   "zh": "基于学习的能力感知分配",
   "level": "l2"
  },
  "CAP_5ad328ec9b": {
   "en": "Capability Vector Encoding",
   "zh": "能力向量编码",
   "level": "l3"
  },
  "CAP_e184bc996b": {
   "en": "Observation-Capability Joint Representation",
   "zh": "观察-能力联合表示",
   "level": "l3"
  },
  "CAP_9b80538e3c": {
   "en": "Hypernetwork Policy Generation",
   "zh": "超网络策略生成",
   "level": "l3"
  },
  "CAP_0326f30070": {
   "en": "Multi-Robot Interaction Execution",
   "zh": "多机器人交互执行",
   "level": "l3"
  },
  "CAP_a87e2ac0ac": {
   "en": "Capability-Driven Policy Update",
   "zh": "能力驱动的策略更新",
   "level": "l3"
  },
  "CAP_10f86563": {
   "en": "Capability Profile Construction",
   "zh": "能力画像构建",
   "level": "l3"
  },
  "CAP_82c9cdd7": {
   "en": "Role Requirement Schema",
   "zh": "角色需求模式",
   "level": "l3"
  },
  "CAP_f9727182": {
   "en": "Capability to Bid Mapping",
   "zh": "能力到出价映射",
   "level": "l3"
  },
  "CAP_3d8cba30": {
   "en": "CNP Auction Protocol",
   "zh": "合同网拍卖协议",
   "level": "l3"
  },
  "CAP_98b90c77": {
   "en": "CBBA Bundle Consensus",
   "zh": "CBBA捆绑共识",
   "level": "l3"
  },
  "CAP_0bbc26c1": {
   "en": "Task Announcement and Capability Evaluation",
   "zh": "任务发布与能力评估",
   "level": "l2"
  },
  "CAP_95d220d7": {
   "en": "Task Announcement",
   "zh": "任务发布",
   "level": "l3"
  },
  "CAP_1c0ac4d1": {
   "en": "CNP Task Allocation",
   "zh": "合同网任务分配",
   "level": "l2"
  },
  "CAP_c4774003": {
   "en": "Task Execution and Feedback",
   "zh": "任务执行与反馈",
   "level": "l2"
  },
  "CAP_8238dd2b": {
   "en": "Task Execution",
   "zh": "任务执行",
   "level": "l3"
  },
  "CAP_e4732333": {
   "en": "Schema Coalition Optimization Role Assignment",
   "zh": "Schema 联盟最优化角色分配",
   "level": "l3"
  },
  "CAP_f02d396b": {
   "en": "Capability Schema Modeling",
   "zh": "能力 Schema 建模",
   "level": "l3"
  },
  "CAP_45089d43": {
   "en": "Task Requirement Schema Modeling",
   "zh": "任务需求 Schema 建模",
   "level": "l3"
  },
  "CAP_35415787": {
   "en": "Schema Graph Matching and Coalition Synthesis",
   "zh": "Schema 图匹配与联盟合成",
   "level": "l3"
  },
  "CAP_116caf30": {
   "en": "ILP Global Task Allocation",
   "zh": "整数规划全局任务分配",
   "level": "l3"
  },
  "CAP_d54dcd8b": {
   "en": "Motivation-Driven Self-Organized Role Taking",
   "zh": "动机驱动自组织角色获取",
   "level": "l3"
  },
  "CAP_a23fb660": {
   "en": "Capability Self-Assessment",
   "zh": "能力自评",
   "level": "l3"
  },
  "CAP_06824776": {
   "en": "Motivation Value Dynamic Update",
   "zh": "动机值动态更新",
   "level": "l3"
  },
  "CAP_df8562fc": {
   "en": "Threshold Activation and Role Taking",
   "zh": "阈值激活与角色领取",
   "level": "l3"
  },
  "CAP_fb723ff4": {
   "en": "Acquiescence and Role Release",
   "zh": "谦让与角色释放",
   "level": "l3"
  },
  "CAP_26b979ce": {
   "en": "Feedback Parameter Adaptation",
   "zh": "反馈参数自适应",
   "level": "l3"
  },
  "CAP_0e9f956e": {
   "en": "Ontology-based Capability Matching",
   "zh": "基于本体/语义的能力匹配协调",
   "level": "l2"
  },
  "CAP_e0e4aad0": {
   "en": "Capability Ontology Construction",
   "zh": "能力本体构建",
   "level": "l3"
  },
  "CAP_e470e396": {
   "en": "Robot Capability Semantic Description",
   "zh": "机器人能力语义描述",
   "level": "l3"
  },
  "CAP_972c5d95": {
   "en": "Task Requirement Semantic Modeling",
   "zh": "任务需求语义建模",
   "level": "l3"
  },
  "CAP_105a3d53": {
   "en": "Ontology-based Capability-Task Matching",
   "zh": "本体能力-任务匹配推理",
   "level": "l3"
  },
  "CAP_b0488df7": {
   "en": "Symbolic Match Result Coordination",
   "zh": "符号匹配结果协调派发",
   "level": "l3"
  },
  "CAP_2499b139": {
   "en": "Match Feedback and Ontology Evolution",
   "zh": "匹配反馈与本体演化",
   "level": "l3"
  },
  "CAP_5c878fbc": {
   "en": "Quantitative Capability Vector Optimization Matching",
   "zh": "定量能力向量 + 优化/拍卖匹配协调",
   "level": "l2"
  },
  "CAP_4b96d19b": {
   "en": "Quantitative Capability Vector Modeling",
   "zh": "定量能力向量建模",
   "level": "l3"
  },
  "CAP_85f88206": {
   "en": "Capability-Requirement Affinity Matrix",
   "zh": "能力-需求匹配度矩阵计算",
   "level": "l3"
  },
  "CAP_00fad061": {
   "en": "Robust Capability-Task Optimization Matching",
   "zh": "鲁棒能力-任务优化匹配",
   "level": "l3"
  },
  "CAP_ef471ad6": {
   "en": "Optimization Match Result Dispatch",
   "zh": "优化匹配结果派发",
   "level": "l3"
  },
  "CAP_729670da": {
   "en": "Capability Vector Online Refresh",
   "zh": "能力向量在线刷新",
   "level": "l3"
  },
  "CAP_51bad350": {
   "en": "Belief-aware Decentralized Capability Self-Assessment Matching",
   "zh": "信念感知分布式能力自评匹配协调",
   "level": "l2"
  },
  "CAP_2d75bbf6": {
   "en": "Belief-based Capability Self-Assessment",
   "zh": "信念型能力自评",
   "level": "l3"
  },
  "CAP_24b4fc8a": {
   "en": "Distributed Capability Belief Sharing",
   "zh": "能力信念分布式共享",
   "level": "l3"
  },
  "CAP_f73f1e31": {
   "en": "Task Requirement Belief Modeling",
   "zh": "任务需求信念建模",
   "level": "l3"
  },
  "CAP_1f062e49": {
   "en": "Decentralized Belief-Conditioned Matching",
   "zh": "分布式信念条件匹配",
   "level": "l3"
  },
  "CAP_786b05b3": {
   "en": "Belief-aware Match Coordination Dispatch",
   "zh": "信念感知匹配协调派发",
   "level": "l3"
  },
  "CAP_0f331a94": {
   "en": "Interaction Mode Capability Declaration",
   "zh": "交互模式能力声明",
   "level": "l3"
  },
  "CAP_87461600": {
   "en": "AgentCard Skill-Based Executor Selection",
   "zh": "基于 AgentCard 技能的执行者选择",
   "level": "l3"
  },
  "CAP_04285df7": {
   "en": "Agent Self-Capability Assessment and Bid Generation",
   "zh": "Agent 自身能力评估与 bid 生成",
   "level": "l3"
  },
  "CAP_eafca920": {
   "en": "OWL-S Semantic Service Profile Declaration",
   "zh": "OWL-S 语义服务 ServiceProfile 声明",
   "level": "l2"
  },
  "CAP_dc9fa573": {
   "en": "OWL-S Description Logic Subsumption Matching",
   "zh": "OWL-S 描述逻辑 subsumption 能力匹配",
   "level": "l3"
  },
  "CAP_8a7b7192": {
   "en": "LLM Preference Data Collection and Binarization",
   "zh": "LLM 偏好数据收集与二元化",
   "level": "l3"
  },
  "CAP_015a6817": {
   "en": "Router Threshold Calibration and Performance Monitoring",
   "zh": "Router 阈值校准与性能监控",
   "level": "l3"
  },
  "CAP_b5e12ba4": {
   "en": "AgentCardSchemaValidation",
   "zh": "AgentCard Schema 校验与解析",
   "level": "l3"
  },
  "CAP_a1f2de1a": {
   "en": "Post-hoc Probability Calibration",
   "zh": "后处理概率校准",
   "level": "l3"
  },
  "CAP_5ba5c46f": {
   "en": "Capability Boundary Disclosure Message Generation",
   "zh": "能力边界披露消息生成",
   "level": "l3"
  },
  "CAP_12e61ac2": {
   "en": "Natural Language Decision Rationale Generation",
   "zh": "自然语言决策理由生成",
   "level": "l3"
  },
  "CAP_51c78024": {
   "en": "Confidence Disclosure Message Publishing",
   "zh": "置信度披露消息发布",
   "level": "l3"
  },
  "CAP_20e2ce1d": {
   "en": "PDDL Action Repertoire Transparency Pipeline",
   "zh": "PDDL 动作清单透明度管线",
   "level": "l2"
  },
  "CAP_b7d87ac5": {
   "en": "PDDL Action Repertoire Catalog Extraction",
   "zh": "PDDL 动作清单提取",
   "level": "l3"
  },
  "CAP_46bcce07": {
   "en": "Plan-Time Task Feasibility Disclosure",
   "zh": "计划时任务可行性披露",
   "level": "l3"
  },
  "CAP_ee68f36c": {
   "en": "Symbolic Capability Disclosure Message Composition",
   "zh": "符号化能力披露消息组成",
   "level": "l3"
  },
  "CAP_eb7fc3d2": {
   "en": "SayCan Skill Library Affordance Disclosure Pipeline",
   "zh": "SayCan 技能库 affordance 披露管线",
   "level": "l2"
  },
  "CAP_6df7637c": {
   "en": "Skill Catalog Disclosure Extraction",
   "zh": "技能目录披露提取",
   "level": "l3"
  },
  "CAP_37a09885": {
   "en": "Per-Skill Affordance Disclosure Scoring",
   "zh": "逐技能 affordance 披露评分",
   "level": "l3"
  },
  "CAP_d5c46715": {
   "en": "Skill Affordance Disclosure Message Composition",
   "zh": "技能 affordance 披露消息组成",
   "level": "l3"
  },
  "CAP_65fe5931": {
   "en": "Action Feasibility Verification",
   "zh": "动作物理可行性校验",
   "level": "l3"
  },
  "CAP_ef574a33": {
   "en": "Capture Point Push Recovery",
   "zh": "捕获点推扰恢复",
   "level": "l2"
  },
  "CAP_2c310303": {
   "en": "Capture Region Angular Momentum",
   "zh": "含角动量的捕获区域计算",
   "level": "l3"
  },
  "CAP_280a744b": {
   "en": "Push Recovery Strategy Selection",
   "zh": "推扰恢复策略选择",
   "level": "l3"
  },
  "CAP_d29c9d74": {
   "en": "DCM Trajectory Tracking Control",
   "zh": "DCM 轨迹跟踪控制",
   "level": "l2"
  },
  "CAP_e30c2ceb": {
   "en": "DCM Feedback Tracking",
   "zh": "基于 eCMP/VRP 的 DCM 反馈跟踪",
   "level": "l3"
  },
  "CAP_af5d3e63": {
   "en": "DCM Online Footstep Adjustment",
   "zh": "基于 DCM 的落脚点在线修正",
   "level": "l3"
  },
  "CAP_aa6338e9": {
   "en": "ICP QP Optimization Control",
   "zh": "ICP 滚动时域 QP 优化控制",
   "level": "l2"
  },
  "CAP_38d94e21": {
   "en": "ICP Desired Momentum Rate",
   "zh": "基于 ICP 的期望动量率计算",
   "level": "l3"
  },
  "CAP_55395a62": {
   "en": "Nullspace PD Control",
   "zh": "零空间 PD 控制",
   "level": "l3"
  },
  "CAP_eee9410a": {
   "en": "Torque Rate Saturation",
   "zh": "力矩变化率限幅",
   "level": "l3"
  },
  "CAP_2cb870d4": {
   "en": "Operational Space Inertia Matrix Construction",
   "zh": "操作空间惯量矩阵构造",
   "level": "l3"
  },
  "CAP_17933661": {
   "en": "HQP Inverse Dynamics Formulation and Solving",
   "zh": "HQP 反动力学构造与求解",
   "level": "l3"
  },
  "CAP_4757dc90": {
   "en": "Rigid Contact Constraint Construction",
   "zh": "接触硬约束构造",
   "level": "l3"
  },
  "CAP_f79972da": {
   "en": "Cartesian Motion Control",
   "zh": "笛卡尔运动控制",
   "level": "l2"
  },
  "CAP_eac5c903": {
   "en": "Cartesian Waypoint Path Computation",
   "zh": "笛卡尔路径点序列计算",
   "level": "l3"
  },
  "CAP_ea7d9d8c": {
   "en": "Joint Trajectory Controller Configuration",
   "zh": "关节轨迹控制器配置",
   "level": "l3"
  },
  "CAP_3bfd7d68": {
   "en": "Cartesian Twist Command Reception",
   "zh": "笛卡尔速度指令接收",
   "level": "l3"
  },
  "CAP_7b408738": {
   "en": "Inverse Jacobian Cartesian Velocity Mapping",
   "zh": "逆雅可比笛卡尔速度映射",
   "level": "l3"
  },
  "CAP_7712843e": {
   "en": "Singularity and Collision Velocity Scaling",
   "zh": "奇异点与碰撞速度缩放",
   "level": "l3"
  },
  "CAP_c4c9192f": {
   "en": "Realtime Servo Loop Dispatch",
   "zh": "实时伺服环指令下发",
   "level": "l3"
  },
  "CAP_5b2f7676": {
   "en": "Vendor Cartesian Motion Command Construction",
   "zh": "厂商笛卡尔运动指令构造",
   "level": "l3"
  },
  "CAP_5832b031": {
   "en": "Vendor Motion Parameter Specification",
   "zh": "厂商运动参数设定",
   "level": "l3"
  },
  "CAP_d98429af": {
   "en": "Vendor Controller Internal Inverse Kinematics",
   "zh": "厂商控制器内部逆运动学",
   "level": "l3"
  },
  "CAP_d4d53705": {
   "en": "Vendor Trajectory Interpolation and Blending",
   "zh": "厂商轨迹插值与段融合",
   "level": "l3"
  },
  "CAP_7c3b4140": {
   "en": "Vendor Coordinate Frame Configuration",
   "zh": "厂商坐标系配置",
   "level": "l3"
  },
  "CAP_e44bee4c": {
   "en": "Vendor Motion Status Monitoring",
   "zh": "厂商运动状态监控",
   "level": "l3"
  },
  "CAP_9be2ac08": {
   "en": "Geometric Path Generation PTP LIN CIRC",
   "zh": "PTP/LIN/CIRC 几何路径生成",
   "level": "l3"
  },
  "CAP_427ad3f7": {
   "en": "Time-Optimal Path Parameterization",
   "zh": "时间最优路径参数化",
   "level": "l3"
  },
  "CAP_444aec22": {
   "en": "TOPP Constraint Formulation",
   "zh": "TOPP 约束构造",
   "level": "l3"
  },
  "CAP_30f21e79": {
   "en": "Cartesian Trajectory Execution via JTC",
   "zh": "笛卡尔轨迹执行",
   "level": "l3"
  },
  "CAP_0a8e2f9a": {
   "en": "Online Jerk-Limited Trajectory Generation",
   "zh": "在线 jerk 受限轨迹生成",
   "level": "l3"
  },
  "CAP_c39d81a4": {
   "en": "Online Jerk Limited State Validation",
   "zh": "在线 jerk 限制状态可行性验证",
   "level": "l3"
  },
  "CAP_d2e83d7d": {
   "en": "Joint Velocity Setpoint Smoothing",
   "zh": "关节速度设定点平滑",
   "level": "l3"
  },
  "CAP_60a6e248": {
   "en": "Motion Generator Type Selection",
   "zh": "运动生成器类型选择",
   "level": "l3"
  },
  "CAP_1a2b3c01": {
   "en": "Category-Agnostic Detection",
   "zh": "类别无关检测",
   "level": "l2"
  },
  "CAP_1a2b3c05": {
   "en": "Multi-Class Label Collapse for Class-Agnostic Training",
   "zh": "多类标签坍缩为单类训练",
   "level": "l3"
  },
  "CAP_1a2b3c06": {
   "en": "Class-Agnostic Detector Training",
   "zh": "类别无关检测器训练",
   "level": "l3"
  },
  "CAP_1a2b3c07": {
   "en": "Class-Agnostic RPN Proposal Generation",
   "zh": "类别无关 RPN 提议生成",
   "level": "l3"
  },
  "CAP_1a2b3c08": {
   "en": "Class-Agnostic Detection Head Inference and Output",
   "zh": "类别无关检测头推理与输出",
   "level": "l3"
  },
  "CAP_1a2b3c09": {
   "en": "CAD Template Multi-View Rendering",
   "zh": "CAD 模板多视角渲染",
   "level": "l3"
  },
  "CAP_1a2b3c0a": {
   "en": "Template-Proposal Feature Matching",
   "zh": "模板候选特征匹配",
   "level": "l3"
  },
  "CAP_1a2b3c0b": {
   "en": "BOP Unseen Object Detection Evaluation",
   "zh": "BOP 未见物体检测评测",
   "level": "l3"
  },
  "CAP_4d9e7a1f": {
   "en": "PointNav Local Execution",
   "zh": "PointNav局部执行",
   "level": "l3"
  },
  "CAP_d457c956": {
   "en": "Goal Reached Verification",
   "zh": "目标到达验证",
   "level": "l3"
  },
  "CAP_c6fae306": {
   "en": "Open-Vocabulary Persistent VL Semantic Map Navigation",
   "zh": "开放词表持久化视觉语言语义地图导航",
   "level": "l2"
  },
  "CAP_a3d1f39d": {
   "en": "Visual-Language Dense Feature Voxel Map Fusion",
   "zh": "视觉语言密集特征体素地图融合",
   "level": "l3"
  },
  "CAP_6b615355": {
   "en": "Open-Vocabulary Spatial Goal Parsing",
   "zh": "开放词表空间目标解析",
   "level": "l3"
  },
  "CAP_effee84a": {
   "en": "Open-Vocabulary Goal Map Localization",
   "zh": "开放词表目标地图定位",
   "level": "l3"
  },
  "CAP_e66b3f56": {
   "en": "Static Causal DAG Rendering Pipeline",
   "zh": "静态因果 DAG 渲染管线",
   "level": "l2"
  },
  "CAP_9c0e7760": {
   "en": "Inferred Causal Structure Ingestion",
   "zh": "推断因果结构接入",
   "level": "l3"
  },
  "CAP_1e872ceb": {
   "en": "Causal Node Semantic Annotation",
   "zh": "因果节点语义标注",
   "level": "l3"
  },
  "CAP_46a46a0c": {
   "en": "Causal Edge Type Encoding",
   "zh": "因果边类型编码",
   "level": "l3"
  },
  "CAP_b48df0d6": {
   "en": "DOT Export and Graphviz Layout",
   "zh": "DOT 导出与 Graphviz 布局",
   "level": "l3"
  },
  "CAP_3059a850": {
   "en": "Causal Graph Vector Rendering",
   "zh": "因果图矢量渲染",
   "level": "l3"
  },
  "CAP_bd742c98": {
   "en": "Causal Graph HMI Embedding",
   "zh": "因果图 HMI 嵌入",
   "level": "l3"
  },
  "CAP_33265d1b": {
   "en": "Interactive Causal Graph Validation Editor",
   "zh": "交互式因果图验证编辑器",
   "level": "l2"
  },
  "CAP_eeab5376": {
   "en": "Initial Causal Graph Loading",
   "zh": "初始因果图加载",
   "level": "l3"
  },
  "CAP_714751c2": {
   "en": "Interactive Causal Graph Editing",
   "zh": "交互式因果图编辑",
   "level": "l3"
  },
  "CAP_d8b36b64": {
   "en": "Testable Implications Computation",
   "zh": "可检验蕴含计算",
   "level": "l3"
  },
  "CAP_bdee6386": {
   "en": "Data-Graph Consistency Verification",
   "zh": "数据-图一致性验证",
   "level": "l3"
  },
  "CAP_eadbd7df": {
   "en": "Adjustment Set and Identifiability Check",
   "zh": "调整集与可识别性校验",
   "level": "l3"
  },
  "CAP_b2a27fee": {
   "en": "Causal Graph Validation Report Generation",
   "zh": "因果图验证报告生成",
   "level": "l3"
  },
  "CAP_172aab02": {
   "en": "Temporal Causal Chain and Counterfactual Visualization",
   "zh": "时序因果链与反事实轨迹可视化",
   "level": "l2"
  },
  "CAP_63ec6a20": {
   "en": "Robot Event Chain Extraction",
   "zh": "机器人事件链提取",
   "level": "l3"
  },
  "CAP_a2f7d60c": {
   "en": "Temporal Causal Chain Layout",
   "zh": "时序因果链布局",
   "level": "l3"
  },
  "CAP_580ee9b0": {
   "en": "Counterfactual Trajectory Overlay",
   "zh": "反事实轨迹叠加",
   "level": "l3"
  },
  "CAP_eb73c1b0": {
   "en": "Factual-Counterfactual Comparative Rendering",
   "zh": "事实-反事实对比渲染",
   "level": "l3"
  },
  "CAP_6dbcf2d8": {
   "en": "Human Validation Overlay",
   "zh": "人工验证叠加",
   "level": "l3"
  },
  "CAP_f316f9b2": {
   "en": "Potential Outcomes Estimation via Statistical Learning",
   "zh": "潜在结果统计学习估计",
   "level": "l2"
  },
  "CAP_f1a4814e": {
   "en": "DAG Ignorability Argument and Adjustment Set Selection",
   "zh": "DAG 可忽略性论证与调整集选择",
   "level": "l3"
  },
  "CAP_9f2b6d4c": {
   "en": "Propensity & IPW Estimation",
   "zh": "倾向评分/IPW 反事实 outcome 估计",
   "level": "l3"
  },
  "CAP_76f0d262": {
   "en": "Doubly Robust / Double Machine Learning CATE Estimation",
   "zh": "双稳健/双机器学习 CATE 估计",
   "level": "l3"
  },
  "CAP_9a5d3e2b": {
   "en": "Neural SCM Counterfactual Generation",
   "zh": "神经 SCM 反事实生成",
   "level": "l2"
  },
  "CAP_5d9c4b2a": {
   "en": "Neural SCM Parameterization & Fitting",
   "zh": "神经 SCM 参数化与拟合",
   "level": "l3"
  },
  "CAP_1a7e3b8c": {
   "en": "Abduction-Action-Prediction Counterfactual Computation",
   "zh": "溯因-干预-预测三步反事实计算",
   "level": "l3"
  },
  "CAP_5e929690": {
   "en": "Counterfactual Fairness Evaluation",
   "zh": "反事实公平性评估",
   "level": "l3"
  },
  "CAP_2bc9df4e": {
   "en": "Counterfactual Why-Not Post-Hoc Explanation",
   "zh": "反事实Why-Not事后解释",
   "level": "l2"
  },
  "CAP_005d1a20": {
   "en": "Causal Model Construction from Decision Structure",
   "zh": "从决策结构构建因果模型",
   "level": "l3"
  },
  "CAP_8640531e": {
   "en": "Counterfactual Search via Minimal Perturbation",
   "zh": "最小扰动反事实搜索",
   "level": "l3"
  },
  "CAP_cf0f355e": {
   "en": "Semifactual Boundary Explanation",
   "zh": "半事实边界解释",
   "level": "l3"
  },
  "CAP_d455cf15": {
   "en": "Counterfactual Explanation Evaluation",
   "zh": "反事实解释质量评估",
   "level": "l3"
  },
  "CAP_7f98bd7b": {
   "en": "Post-Hoc Feature Attribution Explanation",
   "zh": "事后特征归因解释",
   "level": "l2"
  },
  "CAP_81955986": {
   "en": "LIME Local Surrogate Model Explanation",
   "zh": "LIME 局部代理模型解释",
   "level": "l3"
  },
  "CAP_52952795": {
   "en": "Gradient-Based Feature Attribution",
   "zh": "梯度特征归因（梯度显著性归因）",
   "level": "l3"
  },
  "CAP_f7f0311c": {
   "en": "Concept Activation Vector Computation",
   "zh": "概念激活向量计算",
   "level": "l3"
  },
  "CAP_418ca047": {
   "en": "Concept-Based Attribution with Uncertainty (BaTCAVe)",
   "zh": "带不确定性的概念归因（BaTCAVe）",
   "level": "l3"
  },
  "CAP_87ca4d02": {
   "en": "Explanation Uncertainty and Trustworthiness Scoring",
   "zh": "解释不确定性与可信度评分",
   "level": "l3"
  },
  "CAP_51389215": {
   "en": "Post-Hoc Explanation Trigger and Model Hook",
   "zh": "事后解释触发与模型接入",
   "level": "l3"
  },
  "CAP_ab08ba11": {
   "en": "Post-Hoc Explanation Visualization Rendering",
   "zh": "事后解释可视化渲染",
   "level": "l3"
  },
  "CAP_3c9f2a1b": {
   "en": "Static IID PC/FCI Discovery",
   "zh": "静态IID PC/FCI发现",
   "level": "l3"
  },
  "CAP_eb3c73ce": {
   "en": "Time-Series Causal Graph Discovery",
   "zh": "时序因果图发现",
   "level": "l2"
  },
  "CAP_a7b2b062": {
   "en": "PCMCI+ Lagged and Contemporaneous Discovery",
   "zh": "PCMCI+ 滞后与同时边发现",
   "level": "l3"
  },
  "CAP_58b8a51a": {
   "en": "LPCMCI Latent Confounder Time-Series Processing",
   "zh": "LPCMCI 时序潜在混杂处理",
   "level": "l3"
  },
  "CAP_9ebaa665": {
   "en": "Deep Learning Temporal Causal Discovery",
   "zh": "深度学习时序因果发现",
   "level": "l3"
  },
  "CAP_b2d67331": {
   "en": "Time Delay Discovery and Causal Graph Construction",
   "zh": "时间延迟发现与因果图构建",
   "level": "l3"
  },
  "CAP_2d8c5b3e": {
   "en": "Counterfactual Estimate Refutation",
   "zh": "反事实估计反驳检验",
   "level": "l3"
  },
  "CAP_74357fb6": {
   "en": "Bayesian Structural Time Series Intervention Effect Estimation",
   "zh": "贝叶斯结构时间序列干预效应估计",
   "level": "l3"
  },
  "CAP_105077e0": {
   "en": "Multivariate Robot Time-Series Construction",
   "zh": "多变量机器人时序构造",
   "level": "l3"
  },
  "CAP_69cca552": {
   "en": "Why-Not Failure Explanation Synthesis",
   "zh": "Why-Not 失败因果解释合成",
   "level": "l3"
  },
  "CAP_3be08cef": {
   "en": "Identifiable Causal Representation Learning",
   "zh": "可识别因果表征学习",
   "level": "l2"
  },
  "CAP_98d81b75": {
   "en": "ILCM Training and Causal Discovery Evaluation",
   "zh": "ILCM 训练与因果发现评估",
   "level": "l3"
  },
  "CAP_43805ab0": {
   "en": "Identifiable CRL Data Preparation",
   "zh": "可识别因果表征数据准备",
   "level": "l3"
  },
  "CAP_329abda4": {
   "en": "Semantic Factor Label Acquisition",
   "zh": "语义因子标签采集",
   "level": "l3"
  },
  "CAP_16bbd52a": {
   "en": "SCM Causal Layer Integration in VAE",
   "zh": "VAE 中因果层集成",
   "level": "l3"
  },
  "CAP_f72b5e5c": {
   "en": "Causal Layer DAG Construction",
   "zh": "因果层 DAG 构建",
   "level": "l3"
  },
  "CAP_c3a95c74": {
   "en": "Auxiliary-Conditioned Identifiable VAE Training",
   "zh": "辅助变量条件化可识别 VAE 训练",
   "level": "l3"
  },
  "CAP_58819e70": {
   "en": "Temporal Causal Latent Model Setup",
   "zh": "时序因果潜模型构建",
   "level": "l3"
  },
  "CAP_448bf15b": {
   "en": "CausalVAE ELBO Training",
   "zh": "CausalVAE ELBO 训练",
   "level": "l3"
  },
  "CAP_02aa752d": {
   "en": "Temporal Latent Disentanglement Training",
   "zh": "时序潜变量解耦训练",
   "level": "l3"
  },
  "CAP_07f4178f": {
   "en": "Mechanism Sparsity Regularization",
   "zh": "机制稀疏正则化",
   "level": "l3"
  },
  "CAP_fc91622c": {
   "en": "Non-Invertible Generation Identifiability",
   "zh": "非可逆生成可识别性",
   "level": "l3"
  },
  "CAP_e14b9670": {
   "en": "MCC Identifiability Evaluation",
   "zh": "可识别性评估（MCC）",
   "level": "l3"
  },
  "CAP_7201e143": {
   "en": "CausalVAE Identifiability Evaluation",
   "zh": "CausalVAE 可识别性评估",
   "level": "l3"
  },
  "CAP_93fb4e46": {
   "en": "Interventional Weakly-Supervised CRL Orchestration",
   "zh": "干预式弱监督因果表征学习编排",
   "level": "l2"
  },
  "CAP_cafbe7bd": {
   "en": "Weakly Supervised Paired Data Acquisition",
   "zh": "弱监督成对数据采集",
   "level": "l3"
  },
  "CAP_1e212e7b": {
   "en": "Weakly Supervised VAE Training",
   "zh": "弱监督 VAE 训练",
   "level": "l3"
  },
  "CAP_a2812a88": {
   "en": "Attention-based Local Factorization",
   "zh": "Attention 局部因子化发现",
   "level": "l3"
  },
  "CAP_5cfb2c7a": {
   "en": "Counterfactual Factor Grafting",
   "zh": "反事实因子嫁接",
   "level": "l3"
  },
  "CAP_3a5e1e23": {
   "en": "Counterfactual Transfer Validation",
   "zh": "反事实转移验证",
   "level": "l3"
  },
  "CAP_1498a31f": {
   "en": "Augmented Replay Training",
   "zh": "增广回放池训练",
   "level": "l3"
  },
  "CAP_3ed5d7ba": {
   "en": "CoDA Evaluation",
   "zh": "CoDA 评估",
   "level": "l3"
  },
  "CAP_3df59a5a": {
   "en": "Physical Causal Reasoning Benchmark Evaluation",
   "zh": "物理因果推理基准评测",
   "level": "l2"
  },
  "CAP_4a094fa1": {
   "en": "Causal Variable Partitioning",
   "zh": "因果变量参数集划分",
   "level": "l3"
  },
  "CAP_32b598d3": {
   "en": "Task Validation and Evaluation Protocol",
   "zh": "任务验证与评测协议",
   "level": "l3"
  },
  "CAP_204a0171": {
   "en": "CausalWorld Environment Setup",
   "zh": "CausalWorld环境构建",
   "level": "l3"
  },
  "CAP_844e1bd8": {
   "en": "CausalWorld Policy Training",
   "zh": "CausalWorld 策略训练",
   "level": "l3"
  },
  "CAP_d134a22e": {
   "en": "Causal Transfer Evaluation",
   "zh": "因果迁移评估",
   "level": "l3"
  },
  "CAP_45ccad59": {
   "en": "Adversarial Cross-Domain Training",
   "zh": "对抗跨域训练",
   "level": "l2"
  },
  "CAP_881808b9": {
   "en": "Feature-Level Adversarial Domain Alignment",
   "zh": "特征级对抗域对齐",
   "level": "l3"
  },
  "CAP_002ec600": {
   "en": "Domain-Invariant Feature Alignment",
   "zh": "域不变特征对齐",
   "level": "l3"
  },
  "CAP_734a4af4": {
   "en": "Scene Graph Benchmark Evaluation",
   "zh": "场景图基准评测",
   "level": "l3"
  },
  "CAP_dbe4967b": {
   "en": "Spurious Correlation Diagnosis",
   "zh": "虚假相关诊断",
   "level": "l3"
  },
  "CAP_5eea7fab": {
   "en": "Counterfactual Debiasing Evaluation",
   "zh": "反事实去偏评测",
   "level": "l2"
  },
  "CAP_822ad876": {
   "en": "CausalRepID Interventional Reconstruction",
   "zh": "CausalRepID 干预式重建",
   "level": "l3"
  },
  "CAP_127e0d13": {
   "en": "Constraint-Based Causal Graph Discovery",
   "zh": "约束型因果图发现",
   "level": "l2"
  },
  "CAP_1e7c9703": {
   "en": "Robot Interaction Variable Extraction",
   "zh": "机器人交互变量提取",
   "level": "l3"
  },
  "CAP_c5be4e14": {
   "en": "Conditional Independence Test Selection",
   "zh": "条件独立性检验器选择",
   "level": "l3"
  },
  "CAP_b6744bb8": {
   "en": "CPDAG or PAG Adjacency Decoding",
   "zh": "CPDAG/PAG 邻接矩阵解码",
   "level": "l3"
  },
  "CAP_17e55bff": {
   "en": "Differentiable DAG Structure Learning",
   "zh": "可微 DAG 结构学习",
   "level": "l2"
  },
  "CAP_ac5f8a43": {
   "en": "NOTEARS Loss and Regularization Configuration",
   "zh": "NOTEARS 损失与正则配置",
   "level": "l3"
  },
  "CAP_68794010": {
   "en": "Continuous DAG Optimization Solving",
   "zh": "连续 DAG 优化求解",
   "level": "l3"
  },
  "CAP_a066b3f7": {
   "en": "Weight Matrix Thresholding and DAG Validation",
   "zh": "权重矩阵阈值化与 DAG 验证",
   "level": "l3"
  },
  "CAP_053641ee": {
   "en": "DAG Matrix Decoding",
   "zh": "DAG 矩阵解码与因果图输出",
   "level": "l3"
  },
  "CAP_d61b6205": {
   "en": "Time-Series CI Test Configuration",
   "zh": "时序 CI 检验器与滞后窗配置",
   "level": "l3"
  },
  "CAP_98dd756c": {
   "en": "Time-Series Causal Graph Decoding",
   "zh": "时序因果图解码",
   "level": "l3"
  },
  "CAP_f8d30cea": {
   "en": "Active Interventional Causal Graph Discovery",
   "zh": "主动干预型因果图发现",
   "level": "l2"
  },
  "CAP_0f3d7cb9": {
   "en": "Observational Baseline Episode Collection",
   "zh": "观测基线 episode 收集",
   "level": "l3"
  },
  "CAP_949bd743": {
   "en": "Optimal Intervention Variable Selection",
   "zh": "最优干预变量主动选择",
   "level": "l3"
  },
  "CAP_a8cf219d": {
   "en": "Interventional Response Collection and Edge Orientation",
   "zh": "干预响应收集与边定向",
   "level": "l3"
  },
  "CAP_0531c373": {
   "en": "DAG Termination and CausalWorld Evaluation",
   "zh": "DAG 终止判定与 CausalWorld 评估",
   "level": "l3"
  },
  "CAP_c30d49f5": {
   "en": "Causal Intervention Learning",
   "zh": "因果干预学习",
   "level": "l1"
  },
  "CAP_3c3d6f92": {
   "en": "Structural Causal Bandit Intervention Selection",
   "zh": "结构因果老虎机干预选择",
   "level": "l2"
  },
  "CAP_f34fe023": {
   "en": "Confounded Offline-to-Online Causal Policy Learning",
   "zh": "混杂下离线-在线因果策略学习",
   "level": "l2"
  },
  "CAP_f3307a56": {
   "en": "Causal Curriculum via Active Environment Intervention",
   "zh": "主动环境干预的因果课程学习",
   "level": "l2"
  },
  "CAP_da193ca2": {
   "en": "SCM-MAB Problem Formalization",
   "zh": "SCM-多臂老虎机问题形式化",
   "level": "l3"
  },
  "CAP_30f02b36": {
   "en": "POMIS Enumeration via Do-Calculus",
   "zh": "基于do-calculus的POMIS枚举",
   "level": "l3"
  },
  "CAP_e61aaad5": {
   "en": "Causal Bandit Arm Sampling",
   "zh": "因果老虎机臂采样",
   "level": "l3"
  },
  "CAP_5a8038ce": {
   "en": "Mixed Policy Scope Optimization",
   "zh": "混合策略空间优化",
   "level": "l3"
  },
  "CAP_ca765633": {
   "en": "Confounded SCM-MDP Modeling",
   "zh": "混杂SCM-MDP建模",
   "level": "l3"
  },
  "CAP_6a67c4d1": {
   "en": "Causal Effect Identification via Do-Calculus",
   "zh": "基于do-calculus的因果效应识别",
   "level": "l3"
  },
  "CAP_dc7c1e7d": {
   "en": "Doubly Robust Policy Estimation",
   "zh": "双重稳健策略估计",
   "level": "l3"
  },
  "CAP_b95c5e9e": {
   "en": "Causal Imitation Identifiability Check",
   "zh": "因果模仿可识别性检验",
   "level": "l3"
  },
  "CAP_ee68b476": {
   "en": "Offline-to-Online DTR with Causal Reduction",
   "zh": "离线-在线动态治疗方案因果压缩",
   "level": "l3"
  },
  "CAP_8e558a67": {
   "en": "Do-Intervention on Causal Variables",
   "zh": "因果变量do干预",
   "level": "l3"
  },
  "CAP_dac83540": {
   "en": "Linear SEM Path Coefficient Decomposition",
   "zh": "线性SEM路径系数分解",
   "level": "l2"
  },
  "CAP_aa5342dc": {
   "en": "Fitted SEM Model Parsing",
   "zh": "已拟合SEM模型解析",
   "level": "l3"
  },
  "CAP_179b6b34": {
   "en": "Causal Path Enumeration",
   "zh": "因果路径枚举",
   "level": "l3"
  },
  "CAP_9167cfea": {
   "en": "Path Coefficient Product Quantification",
   "zh": "路径系数乘积贡献度量",
   "level": "l3"
  },
  "CAP_32c0f4d7": {
   "en": "Total Effect Decomposition and Inference",
   "zh": "总效应分解与统计推断",
   "level": "l3"
  },
  "CAP_3f458a3d": {
   "en": "Counterfactual Causal Mediation Decomposition",
   "zh": "反事实因果中介效应分解",
   "level": "l2"
  },
  "CAP_9ed8975b": {
   "en": "Mediator and Outcome Model Fitting",
   "zh": "中介与结果模型拟合",
   "level": "l3"
  },
  "CAP_f42774cb": {
   "en": "ACME and ACDE Quasi-Bayesian Estimation",
   "zh": "ACME与ACDE准参数估计",
   "level": "l3"
  },
  "CAP_1a056957": {
   "en": "Sequential Ignorability Sensitivity Analysis",
   "zh": "顺序可忽略性敏感性分析",
   "level": "l3"
  },
  "CAP_24f8d5b8": {
   "en": "Path-Specific Effect Identification",
   "zh": "路径特定效应识别",
   "level": "l2"
  },
  "CAP_c84e92e7": {
   "en": "Path Subset Specification and Enumeration",
   "zh": "路径子集指定与枚举",
   "level": "l3"
  },
  "CAP_87b67997": {
   "en": "Recanting Witness Identifiability Check",
   "zh": "撤回见证可识别性判定",
   "level": "l3"
  },
  "CAP_135003d5": {
   "en": "Counterfactual Graph Construction",
   "zh": "反事实图构造",
   "level": "l3"
  },
  "CAP_a7488f5c": {
   "en": "do-calculus Expression Derivation",
   "zh": "do-calculus表达式推导",
   "level": "l3"
  },
  "CAP_a2025cb7": {
   "en": "CausalWorld Counterfactual Evaluation Benchmark",
   "zh": "CausalWorld 反事实评估基准",
   "level": "l2"
  },
  "CAP_9ce9140a": {
   "en": "Environment Causal Variable do-Intervention",
   "zh": "环境因果变量 do-干预",
   "level": "l3"
  },
  "CAP_021ec0ce": {
   "en": "Disentangled Generalization Evaluation",
   "zh": "解耦泛化评估",
   "level": "l3"
  },
  "CAP_a8c6d116": {
   "en": "Curriculum Through Interventions",
   "zh": "课程通过干预",
   "level": "l3"
  },
  "CAP_ff010101": {
   "en": "Online CBF-QP Safety Filtering",
   "zh": "在线 CBF-QP 安全滤波",
   "level": "l2"
  },
  "CAP_ff010202": {
   "en": "CBF-MPC Integration",
   "zh": "CBF-MPC 一体化",
   "level": "l2"
  },
  "CAP_ff010404": {
   "en": "Neural CBF Learning",
   "zh": "神经 CBF 学习",
   "level": "l2"
  },
  "CAP_9c693fd3": {
   "en": "Forward Reachable Set Computation",
   "zh": "前向可达集计算",
   "level": "l3"
  },
  "CAP_5ce120cc": {
   "en": "CBF Neural Network Torque Filter",
   "zh": "CBF 神经网络扭矩滤波器",
   "level": "l3"
  },
  "CAP_ff020101": {
   "en": "Discrete-Time CBF Construction",
   "zh": "离散时间 CBF 构造",
   "level": "l3"
  },
  "CAP_ff020103": {
   "en": "CBF-MPC Constraint Embedding",
   "zh": "CBF-MPC 约束嵌入",
   "level": "l3"
  },
  "CAP_ff020104": {
   "en": "SQP Solver Execution",
   "zh": "SQP 求解器执行",
   "level": "l3"
  },
  "CAP_ff020105": {
   "en": "First-Step Control Extraction",
   "zh": "第一步控制提取",
   "level": "l3"
  },
  "CAP_ff020106": {
   "en": "Rolling Horizon Update",
   "zh": "滚动时域更新",
   "level": "l3"
  },
  "CAP_ff020201": {
   "en": "Backup Controller Selection",
   "zh": "Backup 控制器选择",
   "level": "l3"
  },
  "CAP_ff020202": {
   "en": "Implicit h Signed Distance",
   "zh": "隐式 h 有符号距离",
   "level": "l3"
  },
  "CAP_ff020203": {
   "en": "Sensitivity Analysis Gradient Extraction",
   "zh": "灵敏度分析梯度提取",
   "level": "l3"
  },
  "CAP_ff020301": {
   "en": "Neural Barrier Function Parameterization",
   "zh": "神经屏障函数参数化",
   "level": "l3"
  },
  "CAP_ff020302": {
   "en": "CBF Invariant Loss Training",
   "zh": "CBF 不变约束损失训练",
   "level": "l3"
  },
  "CAP_ff020303": {
   "en": "Lyapunov Regularization",
   "zh": "Lyapunov 正则化",
   "level": "l3"
  },
  "CAP_ff020304": {
   "en": "Autograd Gradient Extraction",
   "zh": "Autograd 梯度提取",
   "level": "l3"
  },
  "CAP_5af7d5a8": {
   "en": "Elastic Log Ingestion",
   "zh": "Elastic 日志采集转发",
   "level": "l3"
  },
  "CAP_b8eb6ebe": {
   "en": "Elastic Log Parsing",
   "zh": "Elastic 日志解析富化",
   "level": "l3"
  },
  "CAP_111e7454": {
   "en": "Elasticsearch Index Storage",
   "zh": "Elasticsearch 倒排索引存储",
   "level": "l3"
  },
  "CAP_5f323a16": {
   "en": "Elastic ILM Lifecycle",
   "zh": "Elastic 索引生命周期管理",
   "level": "l3"
  },
  "CAP_98875a40": {
   "en": "Kibana Log Exploration",
   "zh": "Kibana 日志查询可视化",
   "level": "l3"
  },
  "CAP_be948d2c": {
   "en": "Loki Label-Indexed Log Aggregation",
   "zh": "Loki标签索引日志聚合",
   "level": "l3"
  },
  "CAP_5790a715": {
   "en": "Loki Log Backend Write",
   "zh": "Loki 日志后端写入",
   "level": "l3"
  },
  "CAP_f6fda72f": {
   "en": "LogQL Query & Grafana Visualization",
   "zh": "LogQL 查询与 Grafana 可视化",
   "level": "l3"
  },
  "CAP_c1af6e5e": {
   "en": "OTel Logs Bridge & Appender",
   "zh": "OTel日志桥接与Appender",
   "level": "l3"
  },
  "CAP_2f8f2c06": {
   "en": "OTLP Export to Cloud Collector",
   "zh": "OTLP 上报到云端 Collector",
   "level": "l3"
  },
  "CAP_041ff3af": {
   "en": "OTel Collector OTLP Receive",
   "zh": "OTel Collector OTLP 接收",
   "level": "l3"
  },
  "CAP_946b6a65": {
   "en": "Trace-Log Correlation Query",
   "zh": "追踪-日志关联查询",
   "level": "l3"
  },
  "CAP_f13695f7": {
   "en": "Vector Log Pipeline",
   "zh": "Vector 可编程日志管道",
   "level": "l3"
  },
  "CAP_4bc82c3c": {
   "en": "Disk Buffer & Backpressure",
   "zh": "磁盘缓冲与背压",
   "level": "l3"
  },
  "CAP_ee02b693": {
   "en": "ClickHouse MergeTree Design",
   "zh": "ClickHouse MergeTree 表设计",
   "level": "l3"
  },
  "CAP_260205c2": {
   "en": "ClickHouse SQL Log Query",
   "zh": "ClickHouse SQL 日志查询与分析",
   "level": "l3"
  },
  "CAP_88566616": {
   "en": "Centralized Map Fusion",
   "zh": "集中式地图融合",
   "level": "l2"
  },
  "CAP_d0e95b34": {
   "en": "Multi-Robot Map Topic Discovery and Subscription",
   "zh": "多机器人地图话题发现与订阅",
   "level": "l3"
  },
  "CAP_c0983c02": {
   "en": "Occupancy Grid Relative Transform Estimation",
   "zh": "占据栅格相对变换估计",
   "level": "l3"
  },
  "CAP_20291e68": {
   "en": "Multi-Robot Occupancy Grid Log-Odds Composition",
   "zh": "多机器人占据栅格 Log-Odds 合成",
   "level": "l3"
  },
  "CAP_87df6274": {
   "en": "Merged Grid Map Global Publishing with Incremental Updates",
   "zh": "合并栅格地图全局发布与增量更新",
   "level": "l3"
  },
  "CAP_3c5130b3": {
   "en": "Centralized LiDAR Pose-Graph Multi-Robot SLAM",
   "zh": "集中式激光位姿图多机器人 SLAM",
   "level": "l2"
  },
  "CAP_b4b78f80": {
   "en": "Multi-Robot Pose Graph Centralized Ingestion",
   "zh": "集中式位姿图数据摄入",
   "level": "l3"
  },
  "CAP_e2574812": {
   "en": "LiDAR Loop Closure Factor (Scan Context)",
   "zh": "基于 Scan Context 的 LiDAR 闭环因子生成",
   "level": "l3"
  },
  "CAP_faeee302": {
   "en": "Pose Graph Backend Edge Optimization",
   "zh": "位姿图后端边优化",
   "level": "l2"
  },
  "CAP_074fd742": {
   "en": "Outlier-Rejected Multi-Robot Pose Graph Optimization",
   "zh": "离群点剔除多机器人位姿图优化",
   "level": "l3"
  },
  "CAP_09512c5d": {
   "en": "Maplab Multi-Session Map Merge",
   "zh": "Maplab 多会话地图合并",
   "level": "l3"
  },
  "CAP_be167393": {
   "en": "BoW Visual Loop Detection",
   "zh": "BoW 视觉闭环检测",
   "level": "l3"
  },
  "CAP_b08e4fae": {
   "en": "BoW Vocabulary Quantization",
   "zh": "BoW 词典量化与频度向量计算",
   "level": "l3"
  },
  "CAP_3a4b5c6f": {
   "en": "Loop Fusion and Essential Graph Optimization",
   "zh": "闭环融合与本质图优化",
   "level": "l3"
  },
  "CAP_a3ad2804": {
   "en": "Sliding Window Visual-Inertial Joint BA",
   "zh": "滑窗视觉惯性联合 BA 优化",
   "level": "l3"
  },
  "CAP_416859b4": {
   "en": "Global Pose Bundle Adjustment",
   "zh": "全局位姿束集优化",
   "level": "l3"
  },
  "CAP_75923919": {
   "en": "Centralized MAPF Joint Path Planning",
   "zh": "集中式 MAPF 联合路径规划",
   "level": "l2"
  },
  "CAP_cede6126": {
   "en": "CBS Constraint Tree Construction",
   "zh": "CBS 高层约束树构造与扩展",
   "level": "l3"
  },
  "CAP_cd195912": {
   "en": "Space-Time A* and SIPP Low-Level Search",
   "zh": "单智能体时空 A*/SIPP 低层搜索",
   "level": "l3"
  },
  "CAP_92ca48c1": {
   "en": "ECBS Bounded-Suboptimal Focal Search",
   "zh": "ECBS bounded-suboptimal focal 搜索",
   "level": "l3"
  },
  "CAP_1b192b41": {
   "en": "Centralized PDDL Multi-Robot Task Planning",
   "zh": "集中式 PDDL 多机器人联合任务规划",
   "level": "l2"
  },
  "CAP_e2b6dbb8": {
   "en": "Multi-Robot PDDL Domain Modeling",
   "zh": "多机器人 PDDL domain 建模",
   "level": "l3"
  },
  "CAP_e61ca98d": {
   "en": "Centralized Multi-Robot Joint Trajectory Optimization",
   "zh": "集中式多机器人联合轨迹优化",
   "level": "l2"
  },
  "CAP_382fb8bd": {
   "en": "Multi-Robot Joint Dynamics Modeling",
   "zh": "多机器人联合动力学建模",
   "level": "l3"
  },
  "CAP_1c0830d9": {
   "en": "Centralized MPC OCP Construction",
   "zh": "Centralized MPC OCP 构造",
   "level": "l3"
  },
  "CAP_b91a5f3c": {
   "en": "Formation Coupling Constraint Construction",
   "zh": "编队耦合约束构造",
   "level": "l3"
  },
  "CAP_7de43761": {
   "en": "IPOPT Joint NLP Solving",
   "zh": "IPOPT NLP 联合求解与首步下发",
   "level": "l3"
  },
  "CAP_a3259444": {
   "en": "Scan to Map LiDAR Odometry",
   "zh": "扫描到地图 LiDAR 里程计",
   "level": "l3"
  },
  "CAP_78e41ba7": {
   "en": "Real-Time Scan to Submap Matching",
   "zh": "实时扫描子图匹配",
   "level": "l3"
  },
  "CAP_6fb56db3": {
   "en": "Multi-Robot Trajectory Reconciliation",
   "zh": "多机器人轨迹协调回传",
   "level": "l3"
  },
  "CAP_35bdda35": {
   "en": "Centralized Visual-Inertial Collaborative SLAM",
   "zh": "集中式视觉惯性协同SLAM",
   "level": "l2"
  },
  "CAP_7761410b": {
   "en": "Visual-Inertial Odometry Frontend",
   "zh": "视觉惯性里程计前端",
   "level": "l3"
  },
  "CAP_f20ee02d": {
   "en": "Visual Loop Closure Edge Detection",
   "zh": "视觉回环边检测",
   "level": "l3"
  },
  "CAP_989b9b26": {
   "en": "Multi-Robot Keyframe Upload & Reconciliation",
   "zh": "多机器人关键帧上传与一致性协调",
   "level": "l3"
  },
  "CAP_a896c7c4": {
   "en": "CTDE Centralized Training Setup",
   "zh": "CTDE 集中训练环境与策略构建",
   "level": "l2"
  },
  "CAP_c34b79dc": {
   "en": "SMAC Environment Configuration",
   "zh": "多智能体 Dec-POMDP 场景环境配置",
   "level": "l3"
  },
  "CAP_4987d311": {
   "en": "Individual Agent DRQN Policy Network",
   "zh": "单智能体 DRQN 策略网络",
   "level": "l3"
  },
  "CAP_e7dbc0cb": {
   "en": "TD Learning for MARL",
   "zh": "多智能体TD学习",
   "level": "l3"
  },
  "CAP_6aaf637c": {
   "en": "TD Loss and Credit Assignment",
   "zh": "TD损失与信用分配",
   "level": "l3"
  },
  "CAP_5387142e": {
   "en": "CTDE Centralized Critic Realization",
   "zh": "CTDE集中式Critic实现能力",
   "level": "l3"
  },
  "CAP_022c0ce2": {
   "en": "MARL Policy Training",
   "zh": "MARL策略训练",
   "level": "l3"
  },
  "CAP_40e51c74": {
   "en": "QMIX Value Factorization Update",
   "zh": "QMIX值分解更新",
   "level": "l3"
  },
  "CAP_5928b23c": {
   "en": "Centralized Training with Replay Buffer",
   "zh": "带回放缓冲的集中训练",
   "level": "l3"
  },
  "CAP_92182cce": {
   "en": "CTDE Centralized Actor-Critic Training",
   "zh": "CTDE 集中式 Actor-Critic 训练",
   "level": "l2"
  },
  "CAP_47ed5097": {
   "en": "Centralized Critic Decentralized Actor Construction",
   "zh": "集中式 Critic 去中心化 Actor 构建",
   "level": "l3"
  },
  "CAP_d7865b5e": {
   "en": "Per-Agent Centralized Action-Value Critic",
   "zh": "每智能体集中式动作价值 Critic",
   "level": "l3"
  },
  "CAP_5ac4a1cb": {
   "en": "Centralized State Value Critic",
   "zh": "集中式状态价值 Critic",
   "level": "l3"
  },
  "CAP_0d64b649": {
   "en": "Multi-Agent Particle Environment Configuration",
   "zh": "MPE 协作环境配置",
   "level": "l3"
  },
  "CAP_cd6af6c8": {
   "en": "Parameter Sharing Strategy",
   "zh": "共享参数策略配置",
   "level": "l3"
  },
  "CAP_7d3db1d1": {
   "en": "Model Weight Synchronization",
   "zh": "模型权重同步",
   "level": "l3"
  },
  "CAP_c2ea3aae": {
   "en": "Async Actor-Learner RL Training",
   "zh": "异步 Actor-Learner 强化学习训练",
   "level": "l2"
  },
  "CAP_7b98065a": {
   "en": "Distributed Experience Collection",
   "zh": "分布式经验收集管线",
   "level": "l2"
  },
  "CAP_c5466dd5": {
   "en": "Trained Policy Checkpoint Loading",
   "zh": "策略 checkpoint 加载",
   "level": "l3"
  },
  "CAP_2dbd7a0b": {
   "en": "Coupled Phase Oscillator CPG Gait Emergence",
   "zh": "耦合相位振荡器 CPG 步态涌现控制",
   "level": "l2"
  },
  "CAP_3714e55a": {
   "en": "Kuramoto Phase Oscillator Network Construction",
   "zh": "Kuramoto 相位振荡器网络构造",
   "level": "l3"
  },
  "CAP_2e80f96d": {
   "en": "Phase Oscillator ODE Numerical Integration",
   "zh": "相位振荡器 ODE 数值积分",
   "level": "l3"
  },
  "CAP_16c10f2f": {
   "en": "Gait Phase Bias Matrix Design",
   "zh": "步态相位偏置矩阵设计",
   "level": "l3"
  },
  "CAP_215f8f85": {
   "en": "Phase to Foot Trajectory Mapping",
   "zh": "相位到足端轨迹映射",
   "level": "l3"
  },
  "CAP_bee7329f": {
   "en": "Analytic Inverse Kinematics for Multi-DoF Legs",
   "zh": "多自由度腿解析逆运动学",
   "level": "l3"
  },
  "CAP_da5d1855": {
   "en": "Gait Emergence Coherence Metric",
   "zh": "步态涌现相干性指标",
   "level": "l3"
  },
  "CAP_346b513b": {
   "en": "Spinal Cord Body-Axis CPG Network",
   "zh": "脊髓轴向 CPG 网络",
   "level": "l2"
  },
  "CAP_a02b2a14": {
   "en": "Descending Drive Modulation",
   "zh": "下行驱动调制",
   "level": "l3"
  },
  "CAP_df2709cb": {
   "en": "Axial Phase Oscillator ODE Integration",
   "zh": "轴向相位振荡器 ODE 积分",
   "level": "l3"
  },
  "CAP_e38ec6ac": {
   "en": "Amplitude Envelope Tracking",
   "zh": "振幅包络跟踪",
   "level": "l3"
  },
  "CAP_d3b15bc0": {
   "en": "Offset Envelope Tracking",
   "zh": "偏移包络跟踪",
   "level": "l3"
  },
  "CAP_dd808ac5": {
   "en": "Body-Limb CPG Coupling",
   "zh": "身体-肢体 CPG 耦合",
   "level": "l3"
  },
  "CAP_341299ce": {
   "en": "Forward-Backward Wave Switching",
   "zh": "前向/后向行波切换",
   "level": "l3"
  },
  "CAP_31a01e58": {
   "en": "CPG Joint Angle Composition",
   "zh": "CPG 关节角度合成",
   "level": "l3"
  },
  "CAP_c35a0c2a": {
   "en": "CPG-Augmented Reinforcement Learning",
   "zh": "CPG 增强深度强化学习",
   "level": "l2"
  },
  "CAP_a6a827c7": {
   "en": "CPG Parameter Modulation Action Space",
   "zh": "CPG 参数调制动作空间",
   "level": "l3"
  },
  "CAP_73518919": {
   "en": "CPG-RL Coupled Oscillator Network",
   "zh": "CPG-RL 耦合振荡器 CPG 网络",
   "level": "l3"
  },
  "CAP_8f19b490": {
   "en": "CPG State to Joint Trajectory Mapping",
   "zh": "CPG 状态到关节轨迹映射",
   "level": "l3"
  },
  "CAP_c14725e1": {
   "en": "Sim-to-Real Transfer with CPG Prior",
   "zh": "基于 CPG 先验的 Sim-to-Real 迁移",
   "level": "l3"
  },
  "CAP_faffbb2d": {
   "en": "Multi-Objective Reward Shaping for CPG-RL",
   "zh": "CPG-RL 多目标奖励塑形",
   "level": "l3"
  },
  "CAP_76fcb142": {
   "en": "Minimal Observation Policy Deployment",
   "zh": "极简观测策略部署",
   "level": "l3"
  },
  "CAP_666691ea": {
   "en": "X.509 Certificate Lifecycle Management",
   "zh": "X.509 证书生命周期管理",
   "level": "l2"
  },
  "CAP_f407e00c": {
   "en": "ACME Account Registration",
   "zh": "ACME 账户注册",
   "level": "l3"
  },
  "CAP_cb67ba60": {
   "en": "Domain Authorization Challenge",
   "zh": "域名授权验证",
   "level": "l3"
  },
  "CAP_ce25cb76": {
   "en": "ACME Certificate Issuance",
   "zh": "ACME 证书签发",
   "level": "l3"
  },
  "CAP_e797419e": {
   "en": "Public Cert Distribution and Mount",
   "zh": "公共证书分发与挂载",
   "level": "l3"
  },
  "CAP_66fe6adf": {
   "en": "Certificate Renewal Scheduling",
   "zh": "证书续期调度",
   "level": "l3"
  },
  "CAP_967c9a07": {
   "en": "ARI Renewal Window",
   "zh": "ARI 续期窗口优化",
   "level": "l3"
  },
  "CAP_29c3864c": {
   "en": "ACME Certificate Revocation",
   "zh": "ACME 证书撤销",
   "level": "l3"
  },
  "CAP_f3a74dcf": {
   "en": "Private Root and Intermediate CA Bootstrap",
   "zh": "私有根与中间 CA 引导",
   "level": "l3"
  },
  "CAP_1c775ecd": {
   "en": "PKI Role and Policy Configuration",
   "zh": "PKI 角色与策略配置",
   "level": "l3"
  },
  "CAP_f2203ca2": {
   "en": "Workload Certificate Issuance",
   "zh": "工作负载证书签发",
   "level": "l3"
  },
  "CAP_c7d0e564": {
   "en": "Private Cert Distribution and Mount",
   "zh": "私有证书分发与挂载",
   "level": "l3"
  },
  "CAP_c62efd34": {
   "en": "Short-lived Certificate Rotation",
   "zh": "短效证书轮换",
   "level": "l3"
  },
  "CAP_551d1670": {
   "en": "Trust Bundle Synchronization",
   "zh": "信任根 bundle 同步",
   "level": "l3"
  },
  "CAP_8752b7ef": {
   "en": "Certificate Revocation via CRL/OCSP",
   "zh": "证书吊销（CRL/OCSP）",
   "level": "l3"
  },
  "CAP_5099314c": {
   "en": "DDS-Security Keystore and CA Bootstrap",
   "zh": "DDS-Security keystore 与 CA 引导",
   "level": "l3"
  },
  "CAP_797d79ca": {
   "en": "Node Identity Certificate Issuance",
   "zh": "节点身份证书签发",
   "level": "l3"
  },
  "CAP_fcbdbaa5": {
   "en": "Governance and Permissions XML Signing",
   "zh": "governance 与 permissions XML 签名",
   "level": "l3"
  },
  "CAP_510d53f6": {
   "en": "Per-Enclave Keystore Distribution",
   "zh": "per-enclave keystore 分发",
   "level": "l3"
  },
  "CAP_a9aee330": {
   "en": "Enclave Certificate Rotation",
   "zh": "enclave 证书轮换",
   "level": "l3"
  },
  "CAP_f1f58374": {
   "en": "CRL Revocation and Distribution",
   "zh": "CRL 撤销与分发",
   "level": "l3"
  },
  "CAP_d8e23daa": {
   "en": "Safety Requirement to ASIL Test Case Derivation",
   "zh": "ISO 26262 安全需求测试用例导出",
   "level": "l3"
  },
  "CAP_d36a9785": {
   "en": "ASIL Test Method Selection and Coverage Target",
   "zh": "ASIL 测试方法选择与覆盖率目标设定",
   "level": "l3"
  },
  "CAP_ce1f793c": {
   "en": "ISO 26262 Assessment Evidence Packaging",
   "zh": "ISO 26262 认证证据打包",
   "level": "l3"
  },
  "CAP_2aa77631": {
   "en": "Functional Safety Assessment and Sign-off",
   "zh": "功能安全评估与放行",
   "level": "l3"
  },
  "CAP_96806445": {
   "en": "Test Case Design and RTM",
   "zh": "测试用例设计与需求追溯",
   "level": "l2"
  },
  "CAP_0ce5e4a2": {
   "en": "Safety Requirement Analysis",
   "zh": "安全需求分析",
   "level": "l3"
  },
  "CAP_027f0d4f": {
   "en": "Test Case Generation",
   "zh": "测试用例生成",
   "level": "l3"
  },
  "CAP_50dbc70c": {
   "en": "Fault Injection Case Design",
   "zh": "故障注入用例设计",
   "level": "l3"
  },
  "CAP_be7748c6": {
   "en": "RTM Construction",
   "zh": "需求追溯矩阵构建",
   "level": "l3"
  },
  "CAP_e74c84ec": {
   "en": "HIL Test Sequence Orchestration and Execution",
   "zh": "HIL测试序列编排与执行",
   "level": "l2"
  },
  "CAP_273464f4": {
   "en": "Test Sequence Editing",
   "zh": "测试序列编辑",
   "level": "l3"
  },
  "CAP_a214e7d8": {
   "en": "Fault Injection Execution",
   "zh": "故障注入执行",
   "level": "l3"
  },
  "CAP_355a242a": {
   "en": "Test Execution and Monitoring",
   "zh": "测试执行与监控",
   "level": "l3"
  },
  "CAP_0da7e3fa": {
   "en": "CI Integration for HIL Test",
   "zh": "HIL测试CI集成",
   "level": "l2"
  },
  "CAP_2ea9265e": {
   "en": "CI Trigger and Package Dispatch",
   "zh": "CI触发与包分发",
   "level": "l3"
  },
  "CAP_fbf385a4": {
   "en": "Result Collection and Archiving",
   "zh": "结果采集与归档",
   "level": "l3"
  },
  "CAP_0b2f4024": {
   "en": "Result Evaluation and Evidence Packaging",
   "zh": "结果评估与证据打包",
   "level": "l2"
  },
  "CAP_b564da25": {
   "en": "Coverage Collection",
   "zh": "覆盖率采集",
   "level": "l3"
  },
  "CAP_43b2e7e8": {
   "en": "Pass/Fail Evaluation",
   "zh": "通过/失败评估",
   "level": "l3"
  },
  "CAP_05bca31c": {
   "en": "Evidence Packaging",
   "zh": "证据打包",
   "level": "l3"
  },
  "CAP_16afe70c": {
   "en": "Robot Safety Function Test Requirement Extraction",
   "zh": "ISO 10218 安全功能测试要求提取",
   "level": "l3"
  },
  "CAP_b1fc2ff9": {
   "en": "Robot Safety Function Acceptance Test Case Design",
   "zh": "机器人安全功能验收用例设计",
   "level": "l3"
  },
  "CAP_10979197": {
   "en": "Robot Safety Function Performance Measurement",
   "zh": "机器人安全功能性能测量",
   "level": "l3"
  },
  "CAP_fbf54dc5": {
   "en": "Robot Safety Function Acceptance Report and PL Calculation",
   "zh": "机器人安全功能验收报告与 PL 核算",
   "level": "l3"
  },
  "CAP_4988c8ac": {
   "en": "Safety Code Test Requirement Extraction",
   "zh": "安全代码测试要求导出",
   "level": "l3"
  },
  "CAP_8e9cc8e7": {
   "en": "MISRA Compliance Test Suite Design",
   "zh": "MISRA 合规测试集设计",
   "level": "l3"
  },
  "CAP_27bd59a5": {
   "en": "Safety Code Unit Test Suite Design",
   "zh": "安全代码单元测试集设计",
   "level": "l3"
  },
  "CAP_e17d5492": {
   "en": "Structural Coverage Measurement & Gate",
   "zh": "结构化覆盖率测量与门禁",
   "level": "l3"
  },
  "CAP_3cd51347": {
   "en": "Code-Level Certification Evidence Packaging",
   "zh": "代码级认证证据打包",
   "level": "l3"
  },
  "CAP_4ce0b3df": {
   "en": "SOTIF Scenario Test Case Derivation",
   "zh": "SOTIF 场景测试用例导出",
   "level": "l2"
  },
  "CAP_b887bee0": {
   "en": "OpenSCENARIO Scenario Library Construction",
   "zh": "OpenSCENARIO 场景库构建",
   "level": "l2"
  },
  "CAP_070d8c36": {
   "en": "SOTIF Scenario Simulation Execution",
   "zh": "SOTIF 场景仿真执行",
   "level": "l2"
  },
  "CAP_504a005e": {
   "en": "SOTIF Acceptance Evaluation & Evidence Packaging",
   "zh": "SOTIF 可接受性评估与证据打包",
   "level": "l2"
  },
  "CAP_ccd1c82a": {
   "en": "OpenFOAM CHT Geometry and Mesh Preparation",
   "zh": "OpenFOAM CHT 几何与网格准备",
   "level": "l2"
  },
  "CAP_7675609d": {
   "en": "Robot CFD Geometry Preparation",
   "zh": "机器人 CFD 几何准备",
   "level": "l3"
  },
  "CAP_e75417ee": {
   "en": "CHT Multi-Region Domain Splitting",
   "zh": "CHT 多区域拆分",
   "level": "l3"
  },
  "CAP_907e010b": {
   "en": "CHT Solver Configuration and Execution",
   "zh": "CHT 求解器配置与执行",
   "level": "l2"
  },
  "CAP_e77d6512": {
   "en": "CHT Coupled Interface Configuration",
   "zh": "CHT 耦合界面配置",
   "level": "l3"
  },
  "CAP_cb5f15dc": {
   "en": "chtMultiRegionFoam Solver Execution",
   "zh": "chtMultiRegionFoam 求解器执行",
   "level": "l3"
  },
  "CAP_b278c7d2": {
   "en": "ParaView CFD Thermal Field Visualization",
   "zh": "ParaView CFD 热场可视化",
   "level": "l3"
  },
  "CAP_eaacfcaa": {
   "en": "Electronics Cooling Model Construction",
   "zh": "电子散热模型构建",
   "level": "l2"
  },
  "CAP_0bd6ae67": {
   "en": "Electronics Cooling Model Import",
   "zh": "电子散热模型导入",
   "level": "l3"
  },
  "CAP_781ad06c": {
   "en": "Electronics Cooling SmartModel Construction",
   "zh": "电子散热智能元件建模",
   "level": "l3"
  },
  "CAP_ab8ad35a": {
   "en": "Electronics Cooling Mesh and Solver Configuration",
   "zh": "电子散热网格与求解配置",
   "level": "l2"
  },
  "CAP_c9af79d3": {
   "en": "Electronics Cooling Mesh Generation",
   "zh": "电子散热网格生成",
   "level": "l3"
  },
  "CAP_14ed24fb": {
   "en": "Electronics Cooling Solver Configuration",
   "zh": "电子散热求解器配置",
   "level": "l3"
  },
  "CAP_30783de3": {
   "en": "Electronics Cooling Solver Execution and Post-Processing",
   "zh": "电子散热求解执行与后处理",
   "level": "l2"
  },
  "CAP_c5ef8157": {
   "en": "Icepak FloTHERM Solver Execution",
   "zh": "Icepak/FloTHERM 求解器执行",
   "level": "l3"
  },
  "CAP_79ec2e8e": {
   "en": "Electronics Cooling Thermal Post-Processing",
   "zh": "电子散热热后处理",
   "level": "l3"
  },
  "CAP_464aefa8": {
   "en": "CFD Data Generation for Surrogate Training",
   "zh": "代理模型训练 CFD 数据生成",
   "level": "l2"
  },
  "CAP_25c069d2": {
   "en": "CFD Parameter Space Sampling",
   "zh": "CFD 参数空间采样",
   "level": "l3"
  },
  "CAP_d0a75eec": {
   "en": "Parameterized CFD Sweep Execution",
   "zh": "参数化 CFD 批量执行",
   "level": "l3"
  },
  "CAP_d80b17c6": {
   "en": "POD and Surrogate Model Training",
   "zh": "POD 降阶与代理模型训练",
   "level": "l2"
  },
  "CAP_f160f64e": {
   "en": "POD Basis Extraction and ROM Construction",
   "zh": "POD 基函数提取与降阶模型构建",
   "level": "l3"
  },
  "CAP_3161c3bd": {
   "en": "CFD-Specific Surrogate Model Training",
   "zh": "CFD 专用代理模型训练",
   "level": "l3"
  },
  "CAP_663ef054": {
   "en": "Surrogate Model Deployment and Validation",
   "zh": "代理模型部署与验证",
   "level": "l2"
  },
  "CAP_c8e6e38c": {
   "en": "Thermal Surrogate Runtime Deployment",
   "zh": "热代理模型运行时部署",
   "level": "l3"
  },
  "CAP_1a343e48": {
   "en": "Surrogate Model CFD Validation",
   "zh": "代理模型 CFD 验证",
   "level": "l3"
  },
  "CAP_f6d1c421": {
   "en": "ReAct Few-Shot Prompt Construction",
   "zh": "ReAct 少样本提示构造",
   "level": "l3"
  },
  "CAP_f7c8f52f": {
   "en": "Environment Feedback Textualization",
   "zh": "环境反馈文本化",
   "level": "l3"
  },
  "CAP_4cc9143e": {
   "en": "Dialogue-Action Termination Judgment",
   "zh": "对话-动作终止判定",
   "level": "l3"
  },
  "CAP_89687501": {
   "en": "PDDL Syntax and Type Validation",
   "zh": "PDDL 语法与类型校验",
   "level": "l3"
  },
  "CAP_9985fc25": {
   "en": "Classical Plan Solving and Verification",
   "zh": "经典规划求解与验证",
   "level": "l2"
  },
  "CAP_f84a1347": {
   "en": "Thought State Evaluation",
   "zh": "思维状态评估",
   "level": "l3"
  },
  "CAP_2f9b07ee": {
   "en": "Tree Search with Backtracking",
   "zh": "带回溯的树搜索",
   "level": "l3"
  },
  "CAP_9364d7d9": {
   "en": "Deliberate Thought Tree Search",
   "zh": "思维树审慎搜索",
   "level": "l2"
  },
  "CAP_c1063129": {
   "en": "Verbal Self-Reflection Correction",
   "zh": "语言自反思纠正",
   "level": "l2"
  },
  "CAP_1583f6d7": {
   "en": "PDDL Plan to Natural Language Back-Translation",
   "zh": "PDDL 计划自然语言回译",
   "level": "l3"
  },
  "CAP_1a08fe47": {
   "en": "LLM Grounded Task Planning",
   "zh": "LLM 接地任务规划",
   "level": "l2"
  },
  "CAP_9b13690c": {
   "en": "Scene Graph JSON Serialization",
   "zh": "层级场景图序列化",
   "level": "l3"
  },
  "CAP_9dea678a": {
   "en": "Spatial Relation Query on Scene Graph",
   "zh": "场景图空间关系查询",
   "level": "l3"
  },
  "CAP_f08e4ea7": {
   "en": "Scene Graph Topological Path Planning",
   "zh": "场景图拓扑路径规划",
   "level": "l3"
  },
  "CAP_ce9434ff": {
   "en": "Sparse Weighted-Graph Dijkstra Planning",
   "zh": "稀疏加权图 Dijkstra 规划",
   "level": "l2"
  },
  "CAP_f5a18c2e": {
   "en": "Topological Graph Shortest Path Search",
   "zh": "拓扑图最短路搜索",
   "level": "l3"
  },
  "CAP_b1f28778": {
   "en": "Topological Shortest Path Planning",
   "zh": "拓扑最短路规划",
   "level": "l3"
  },
  "CAP_25cd62d2": {
   "en": "Code Skill Library Lifecycle",
   "zh": "代码技能库生命周期",
   "level": "l2"
  },
  "CAP_e03e154d": {
   "en": "Skill Library Semantic Retrieval",
   "zh": "技能库语义检索",
   "level": "l3"
  },
  "CAP_c7de97a6": {
   "en": "Skill Self-Verification and Library Commit",
   "zh": "技能自验证与入库",
   "level": "l3"
  },
  "CAP_cabde924": {
   "en": "LLM Skill Code Generation and Iterative Correction",
   "zh": "LLM 技能代码生成与迭代修正",
   "level": "l3"
  },
  "CAP_f96f5a1e": {
   "en": "Hierarchical Code-Gen Recursive Function Definition",
   "zh": "分层代码生成递归函数定义",
   "level": "l3"
  },
  "CAP_aa01b128": {
   "en": "SayCan Affordance Value Evaluation",
   "zh": "SayCan 可供性值评估",
   "level": "l3"
  },
  "CAP_7c8e63a7": {
   "en": "SayCan Iterative Skill Selection Loop",
   "zh": "SayCan 迭代技能选择循环",
   "level": "l3"
  },
  "CAP_da8675b9": {
   "en": "VLA Embodied CoT Supervised Fine-Tuning",
   "zh": "VLA 具身思维链监督微调",
   "level": "l2"
  },
  "CAP_1280fc2b": {
   "en": "ECoT Synthetic Reasoning Data Generation",
   "zh": "ECoT 合成推理数据生成",
   "level": "l3"
  },
  "CAP_7dac6f87": {
   "en": "Embodied CoT Visual Grounding Bounding Box",
   "zh": "具身思维链视觉接地边界框",
   "level": "l3"
  },
  "CAP_88743d58": {
   "en": "Embodied CoT End-Effector Pose Reasoning",
   "zh": "具身思维链末端执行器位姿推理",
   "level": "l3"
  },
  "CAP_7534b29e": {
   "en": "VLM Chain-of-Thought Tool Physics Reasoning",
   "zh": "VLM 思维链工具物理推理",
   "level": "l3"
  },
  "CAP_43a00091": {
   "en": "Visual Chain-of-Thought Subgoal Image Prediction",
   "zh": "视觉思维链子目标图像预测",
   "level": "l3"
  },
  "CAP_12f5116a": {
   "en": "Hybrid Attention Action Chunking Decoding",
   "zh": "混合注意力动作分块解码",
   "level": "l3"
  },
  "CAP_d6a026b3": {
   "en": "Action-less Video Augmented Visual CoT Training",
   "zh": "无动作视频增强视觉思维链训练",
   "level": "l3"
  },
  "CAP_27854d87": {
   "en": "RL-Optimized CoT VLA Post-Training",
   "zh": "RL 优化思维链 VLA 后训练",
   "level": "l2"
  },
  "CAP_d31be233": {
   "en": "Reasoning Action Robust Execution",
   "zh": "推理-动作鲁棒执行",
   "level": "l3"
  },
  "CAP_fecccfd1": {
   "en": "VLA-CoT Data Engine Synthesis",
   "zh": "VLA-CoT 数据引擎合成",
   "level": "l3"
  },
  "CAP_d1b20824": {
   "en": "GRPO Policy Optimization with Verifiable Rewards",
   "zh": "GRPO 可验证奖励策略优化",
   "level": "l3"
  },
  "CAP_c8878846": {
   "en": "Affordance Region GIoU Reward",
   "zh": "可供性区域 GIoU 奖励",
   "level": "l3"
  },
  "CAP_bae735c0": {
   "en": "Trajectory Frechet Distance Reward",
   "zh": "轨迹 Fréchet 距离奖励",
   "level": "l3"
  },
  "CAP_a514d2e7": {
   "en": "Output Format Verification Reward",
   "zh": "输出格式验证奖励",
   "level": "l3"
  },
  "CAP_43f68961": {
   "en": "Two-Stage SFT then RL Post-Training",
   "zh": "两阶段 SFT 后 RL 后训练",
   "level": "l3"
  },
  "CAP_cc010001": {
   "en": "Chance-Constrained RRT Navigation",
   "zh": "机会约束RRT导航",
   "level": "l2"
  },
  "CAP_cc010002": {
   "en": "CC-RRT Node Chance Constraint Check",
   "zh": "CC-RRT节点机会约束判定",
   "level": "l3"
  },
  "CAP_cc010003": {
   "en": "CC-RRT Cumulative Risk Bound Pruning",
   "zh": "CC-RRT累积风险界剪枝",
   "level": "l3"
  },
  "CAP_cc020001": {
   "en": "Iterative Risk Allocation CC-MPC Navigation",
   "zh": "迭代风险分配机会约束MPC导航",
   "level": "l2"
  },
  "CAP_cc020002": {
   "en": "IRA Lagrangian Risk Allocation",
   "zh": "IRA拉格朗日风险分配",
   "level": "l3"
  },
  "CAP_cc020003": {
   "en": "Chance Constraint Deterministic Equivalent",
   "zh": "机会约束确定性等价变换",
   "level": "l3"
  },
  "CAP_cc030001": {
   "en": "Linearized Chance-Constrained Trajectory Optimization",
   "zh": "线性化机会约束轨迹优化",
   "level": "l2"
  },
  "CAP_cc030002": {
   "en": "Obstacle Polyhedral Linearization",
   "zh": "障碍多面体线性化",
   "level": "l3"
  },
  "CAP_cc030004": {
   "en": "Joint Chance Constraint Risk Allocation",
   "zh": "联合机会约束风险分配",
   "level": "l3"
  },
  "CAP_cc040001": {
   "en": "Monte-Carlo Chance-Constrained Trajectory Optimization",
   "zh": "蒙特卡洛机会约束轨迹优化",
   "level": "l2"
  },
  "CAP_cc040002": {
   "en": "MC Collision Probability Upper Bound",
   "zh": "蒙特卡洛碰撞概率置信上界",
   "level": "l3"
  },
  "CAP_cc040003": {
   "en": "Sphere Deformation Trajectory Optimization",
   "zh": "球面变形轨迹优化",
   "level": "l3"
  },
  "CAP_814ba825": {
   "en": "Monte Carlo Collision Probability Estimation",
   "zh": "蒙特卡洛碰撞概率估计",
   "level": "l3"
  },
  "CAP_0af78234": {
   "en": "Covariance Inflation Safety Zone",
   "zh": "协方差膨胀安全区构造",
   "level": "l3"
  },
  "CAP_5623b2e5": {
   "en": "Particle-Driven Trajectory Safety Validation",
   "zh": "粒子驱动轨迹安全验证",
   "level": "l3"
  },
  "CAP_f143dba4": {
   "en": "Trajectory Safety Violation Probability Estimation",
   "zh": "轨迹安全违反概率估计",
   "level": "l3"
  },
  "CAP_8622e065": {
   "en": "Uncertainty-Aware Safe Path Planning",
   "zh": "不确定性感知安全路径规划",
   "level": "l3"
  },
  "CAP_10b7397c": {
   "en": "State Distribution Safe Set Chance Constraint",
   "zh": "状态分布安全集机会约束",
   "level": "l3"
  },
  "CAP_5f07e121": {
   "en": "MPC First-Step Execution",
   "zh": "MPC首步执行",
   "level": "l3"
  },
  "CAP_99434395": {
   "en": "Lower Bound Probability Estimation",
   "zh": "下界概率估计",
   "level": "l3"
  },
  "CAP_cc5e2895": {
   "en": "TrajectoryParameterization",
   "zh": "轨迹参数化",
   "level": "l3"
  },
  "CAP_e73e47cf": {
   "en": "Convex Program Assembly and Solve",
   "zh": "凸规划组装与求解",
   "level": "l3"
  },
  "CAP_74838b97": {
   "en": "Chance Constraint Reformulation",
   "zh": "机会约束重写",
   "level": "l3"
  },
  "CAP_2b8a70fd": {
   "en": "Analytical CC Reformulation",
   "zh": "解析机会约束重写",
   "level": "l3"
  },
  "CAP_7ed42183": {
   "en": "Convex Optimization Solving",
   "zh": "凸优化求解",
   "level": "l2"
  },
  "CAP_f2148ff1": {
   "en": "SOCP Solving",
   "zh": "二阶锥规划求解",
   "level": "l3"
  },
  "CAP_d67d013b": {
   "en": "Receding Horizon OCP Solve",
   "zh": "滚动时域 OCP 求解",
   "level": "l3"
  },
  "CAP_94bfd995": {
   "en": "Workspace Safety Zone",
   "zh": "工作空间安全区",
   "level": "l3"
  },
  "CAP_7683664c": {
   "en": "Probabilistic Safety Zone Expansion",
   "zh": "概率安全区膨胀",
   "level": "l3"
  },
  "CAP_90c678b4": {
   "en": "Safe MPC with Prediction",
   "zh": "安全MPC预测",
   "level": "l3"
  },
  "CAP_87977289": {
   "en": "Scenario Approach Reformulation",
   "zh": "场景法机会约束重写",
   "level": "l3"
  },
  "CAP_afdd2b03": {
   "en": "Receding Horizon OCP Solve (acados)",
   "zh": "滚动时域OCP求解（acados）",
   "level": "l3"
  },
  "CAP_5323d41a": {
   "en": "Scenario Generation",
   "zh": "场景生成",
   "level": "l3"
  },
  "CAP_c70f3efd": {
   "en": "Scenario Bound Determination",
   "zh": "场景界限确定",
   "level": "l3"
  },
  "CAP_e60b8c17": {
   "en": "Scenario Constraint Construction",
   "zh": "场景约束构造",
   "level": "l3"
  },
  "CAP_305ac93d": {
   "en": "OCP Assembly with Scenarios",
   "zh": "场景OCP组装",
   "level": "l3"
  },
  "CAP_e3ca5f35": {
   "en": "Real-Time OCP Solving",
   "zh": "实时OCP求解",
   "level": "l3"
  },
  "CAP_375bf0da": {
   "en": "First-Step Execution",
   "zh": "首步执行",
   "level": "l3"
  },
  "CAP_f90e272d": {
   "en": "State Estimation",
   "zh": "状态估计",
   "level": "l3"
  },
  "CAP_8e018175": {
   "en": "CMDP Environment Wrapping and Risk Parameterization",
   "zh": "CMDP 环境构建与风险参数化",
   "level": "l2"
  },
  "CAP_414554ce": {
   "en": "Risk Constraint Parameterization",
   "zh": "风险约束参数化",
   "level": "l3"
  },
  "CAP_5f2404ea": {
   "en": "CVaR Surrogate Estimation and Chance Constraint Reformulation",
   "zh": "CVaR 代理估计与机会约束重写",
   "level": "l2"
  },
  "CAP_c3759973": {
   "en": "CVaR Constraint Formulation",
   "zh": "CVaR 约束形式化",
   "level": "l3"
  },
  "CAP_ffbe9a8c": {
   "en": "CVaR Surrogate Estimation",
   "zh": "CVaR 代理估计",
   "level": "l3"
  },
  "CAP_a1971273": {
   "en": "Bilevel VaR Re-estimation",
   "zh": "双层 VaR 重估计",
   "level": "l3"
  },
  "CAP_45e4fa47": {
   "en": "Lagrangian Policy Gradient Optimization",
   "zh": "拉格朗日策略梯度优化",
   "level": "l2"
  },
  "CAP_280bff1c": {
   "en": "Lagrangian Policy Gradient Estimation",
   "zh": "拉格朗日策略梯度估计",
   "level": "l3"
  },
  "CAP_e459c9e0": {
   "en": "Dual Variable Ascent",
   "zh": "对偶变量上升",
   "level": "l3"
  },
  "CAP_bf6b5f3e": {
   "en": "Constrained Policy Update",
   "zh": "约束策略更新",
   "level": "l3"
  },
  "CAP_5fc35e09": {
   "en": "Online Evaluation and Safe Deployment",
   "zh": "在线评测与安全部署",
   "level": "l2"
  },
  "CAP_66a4332d": {
   "en": "Constraint Violation Evaluation",
   "zh": "约束违反评估",
   "level": "l3"
  },
  "CAP_6474b18b": {
   "en": "CMDP Environment Wrapping",
   "zh": "CMDP 环境包装",
   "level": "l3"
  },
  "CAP_a98dd400": {
   "en": "Empirical Distribution Statistics Extraction",
   "zh": "经验分布统计量提取",
   "level": "l3"
  },
  "CAP_8900cfce": {
   "en": "Distributed On-Policy Rollout Collection",
   "zh": "分布式在线rollout采集",
   "level": "l3"
  },
  "CAP_3c7c036a": {
   "en": "Risk-Sensitive Policy Optimization",
   "zh": "风险敏感策略优化",
   "level": "l3"
  },
  "CAP_f4d36701": {
   "en": "CUP First-Order Non-Convex Surrogate Solving",
   "zh": "CUP 一阶非凸 Surrogate 求解",
   "level": "l3"
  },
  "CAP_6a8bf602": {
   "en": "CPO Second-Order QP Solving",
   "zh": "CPO 二阶 QP 求解",
   "level": "l3"
  },
  "CAP_169f5db9": {
   "en": "Safe RL Algorithm Registry Configuration",
   "zh": "安全 RL 算法注册配置",
   "level": "l3"
  },
  "CAP_b5d22c50": {
   "en": "Safe RL Constraint Violation Evaluation",
   "zh": "安全RL约束违反评测",
   "level": "l3"
  },
  "CAP_0561a7f7": {
   "en": "Risk-Constrained Reinforcement Learning",
   "zh": "风险约束强化学习",
   "level": "l2"
  },
  "CAP_20eef547": {
   "en": "Coherent Risk PG Pipeline",
   "zh": "一致风险度量策略梯度流水线",
   "level": "l2"
  },
  "CAP_a64c8648": {
   "en": "Online Safe RL Training Pipeline",
   "zh": "在线安全强化学习训练流水线",
   "level": "l2"
  },
  "CAP_eeff4f05": {
   "en": "CPU PPO Baseline",
   "zh": "CPU PPO 基线",
   "level": "l3"
  },
  "CAP_d5a300ac": {
   "en": "Gaussian Collision Probability Upper Bound",
   "zh": "高斯碰撞概率上界计算",
   "level": "l3"
  },
  "CAP_4d9b47ec": {
   "en": "OMPL StateValidityChecker Extension",
   "zh": "OMPL 状态有效性检查器扩展",
   "level": "l3"
  },
  "CAP_d1be7c06": {
   "en": "OMPL RRT/RRT-Connect/RRT* Planning",
   "zh": "OMPL RRT/RRT-Connect/RRT* 规划",
   "level": "l3"
  },
  "CAP_6199ceb0": {
   "en": "Risk Budget Allocation to Tree Nodes",
   "zh": "风险预算树节点分配",
   "level": "l3"
  },
  "CAP_bf6c9310": {
   "en": "RRT-Connect Bidirectional Tree Connection",
   "zh": "RRT-Connect双向树连接启发",
   "level": "l3"
  },
  "CAP_9659bb1f": {
   "en": "Probabilistic Safety Margin Planning",
   "zh": "概率安全裕度规划",
   "level": "l2"
  },
  "CAP_d996dd1e": {
   "en": "Geometric Path Smoothing",
   "zh": "几何路径平滑",
   "level": "l2"
  },
  "CAP_28aaae50": {
   "en": "Vertex Reduction Shortcutting",
   "zh": "顶点缩减捷径法",
   "level": "l3"
  },
  "CAP_ec3b7943": {
   "en": "Feature Persistence Bayesian Filter Chain",
   "zh": "特征持续性贝叶斯滤波链",
   "level": "l2"
  },
  "CAP_72c328bc": {
   "en": "Feature Lifetime Survival Distribution Modeling",
   "zh": "特征存活寿命分布建模",
   "level": "l3"
  },
  "CAP_521175f1": {
   "en": "Observation Likelihood Modeling for Feature Persistence",
   "zh": "特征持续性观测似然建模",
   "level": "l3"
  },
  "CAP_478c6b3c": {
   "en": "Bayesian Persistence Filter",
   "zh": "贝叶斯持久性滤波器",
   "level": "l3"
  },
  "CAP_240d3329": {
   "en": "Feature Survival Posterior Thresholding",
   "zh": "特征存活后验阈值判定",
   "level": "l3"
  },
  "CAP_4fde948b": {
   "en": "Obsolete Feature Culling and Confidence Downweighting",
   "zh": "过时特征剔除与置信度降权",
   "level": "l3"
  },
  "CAP_0a1b2c3e": {
   "en": "Keyframe ORB Descriptor Extraction",
   "zh": "关键帧 ORB 描述子提取",
   "level": "l3"
  },
  "CAP_3e6f9c05": {
   "en": "BoW Guided Descriptor Matching",
   "zh": "词袋引导描述子匹配",
   "level": "l3"
  },
  "CAP_55f7be83": {
   "en": "Indirect Sparse SLAM Tracking Pipeline",
   "zh": "间接稀疏 SLAM 跟踪流水线",
   "level": "l2"
  },
  "CAP_d6038345": {
   "en": "Pose Graph Node Change Detection and Lifelong Sparsification",
   "zh": "位姿图节点变化检测与终身稀疏化",
   "level": "l2"
  },
  "CAP_fbdcdf6e": {
   "en": "Robust Loop Closure Matching for Node Staleness Detection",
   "zh": "节点过时检测的鲁棒回环匹配",
   "level": "l3"
  },
  "CAP_e9ee46df": {
   "en": "Stale Node Labeling and Removal Decision",
   "zh": "过时节点标记与移除决策",
   "level": "l3"
  },
  "CAP_5443095d": {
   "en": "Condensed Measurements Constraint Preservation",
   "zh": "浓缩测量约束保留",
   "level": "l3"
  },
  "CAP_edae825d": {
   "en": "Sparsified Pose Graph Re-optimization",
   "zh": "稀疏化位姿图重优化",
   "level": "l3"
  },
  "CAP_beee0582": {
   "en": "Branch and Bound Scan Submap Loop Closure",
   "zh": "分支定界扫描子图回环",
   "level": "l3"
  },
  "CAP_099ef2c8": {
   "en": "Memory Management for Long-Term SLAM",
   "zh": "长期SLAM记忆管理",
   "level": "l3"
  },
  "CAP_c3199a88": {
   "en": "Affected Frame Detection",
   "zh": "受影响帧检测",
   "level": "l3"
  },
  "CAP_2dde4d37": {
   "en": "Pose Graph Deserialization",
   "zh": "位姿图反序列化",
   "level": "l3"
  },
  "CAP_83c7485a": {
   "en": "Updated Map Delivery and Region Confidence Downweighting",
   "zh": "更新地图交付与区域置信度降权",
   "level": "l3"
  },
  "CAP_3e2b0b8e": {
   "en": "Occupancy Grid Change Detection and Confidence Adjustment",
   "zh": "占据栅格变化检测与置信度调整",
   "level": "l2"
  },
  "CAP_adecb57a": {
   "en": "Cell-Level Occupancy Deviation Detection",
   "zh": "cell 级占据偏差检测",
   "level": "l3"
  },
  "CAP_ccf9f238": {
   "en": "Change Region Clustering and Confidence Downweighting",
   "zh": "变化区域聚类与置信度降权",
   "level": "l3"
  },
  "CAP_a285b76a": {
   "en": "Log-odds Cell Update and Inverse Sensor Model",
   "zh": "对数几率单元更新与反向传感器模型",
   "level": "l3"
  },
  "CAP_7e84975f": {
   "en": "Inverse Sensor Model Update",
   "zh": "反向传感器模型更新",
   "level": "l3"
  },
  "CAP_5946266f": {
   "en": "Change Detection Mapping",
   "zh": "变化检测建图",
   "level": "l2"
  },
  "CAP_f8e268fd": {
   "en": "Anchor Node Pose Graph Optimization",
   "zh": "锚节点位姿图优化",
   "level": "l3"
  },
  "CAP_a36900e2": {
   "en": "Low-Dynamic Change Classification",
   "zh": "低动态变化分类",
   "level": "l3"
  },
  "CAP_03aa659b": {
   "en": "Delta Map Composition",
   "zh": "Delta Map 组合运算",
   "level": "l3"
  },
  "CAP_f23b4f7b": {
   "en": "Live and Meta Map Generation",
   "zh": "Live/Meta 地图生成",
   "level": "l3"
  },
  "CAP_632e7a6d": {
   "en": "Short-Term Dynamic Tracking",
   "zh": "短期动态跟踪",
   "level": "l3"
  },
  "CAP_277c866a": {
   "en": "Object Fragment Extraction",
   "zh": "对象 Fragment 提取",
   "level": "l3"
  },
  "CAP_89e22589": {
   "en": "Deformation Graph Construction",
   "zh": "形变图构建",
   "level": "l3"
  },
  "CAP_686936f7": {
   "en": "Library of Rays Absence Verification",
   "zh": "光线库缺席验证",
   "level": "l3"
  },
  "CAP_69a12977": {
   "en": "4D Spatio-temporal Map Output",
   "zh": "4D 时空地图输出",
   "level": "l3"
  },
  "CAP_569289dd": {
   "en": "Raycasting Marking and Clearing",
   "zh": "光线投射标记与清除",
   "level": "l3"
  },
  "CAP_be74cdf0": {
   "en": "Cell-wise Occupancy Diff Extraction",
   "zh": "逐 cell 占用差分提取",
   "level": "l3"
  },
  "CAP_0e960c9c": {
   "en": "Positive/Negative Change Classification",
   "zh": "正负变化分类",
   "level": "l3"
  },
  "CAP_7a68362d": {
   "en": "Change Event Publication",
   "zh": "变化事件发布",
   "level": "l3"
  },
  "CAP_f3c8aa0c": {
   "en": "SOC Threshold and Context Save",
   "zh": "SoC 阈值触发与任务上下文保存",
   "level": "l3"
  },
  "CAP_bb38927c": {
   "en": "Nearest Charger Selection",
   "zh": "最近充电桩选择",
   "level": "l3"
  },
  "CAP_52a9dc63": {
   "en": "Charge Completion Detection and Task Resume",
   "zh": "充电完成检测与任务恢复",
   "level": "l3"
  },
  "CAP_2de5ab69": {
   "en": "Fleet Charge Task Auto-Dispatch",
   "zh": "车队充电任务自动派发",
   "level": "l3"
  },
  "CAP_3d8b3989": {
   "en": "Charger Queue and Wait Planning",
   "zh": "充电桩预约排队与充电完成等待规划",
   "level": "l2"
  },
  "CAP_9becab6b": {
   "en": "Charger Reservation Queueing",
   "zh": "充电桩预约排队",
   "level": "l3"
  },
  "CAP_ff204789": {
   "en": "Charge Time Estimation and Completion Wait",
   "zh": "充电时间估算与完成等待",
   "level": "l3"
  },
  "CAP_9877263b": {
   "en": "Charging Domain PDDL Domain Construction",
   "zh": "充电域 PDDL 域构造",
   "level": "l3"
  },
  "CAP_79876f1b": {
   "en": "Charging Action Execution Monitoring Planning",
   "zh": "充电动作执行监控规划",
   "level": "l3"
  },
  "CAP_a5a7a939": {
   "en": "Charge Timing Trigger Planning",
   "zh": "充电时机触发与任务中断规划",
   "level": "l2"
  },
  "CAP_0fd2916a": {
   "en": "Fleet Charging Schedule Optimization",
   "zh": "车队充电调度优化",
   "level": "l2"
  },
  "CAP_7570d4dc": {
   "en": "Fleet SoC Aggregation and Schedule Triggering",
   "zh": "车队 SoC 聚合与调度触发",
   "level": "l3"
  },
  "CAP_d941424a": {
   "en": "Charging Slot Time Window Allocation",
   "zh": "充电时间窗分配",
   "level": "l3"
  },
  "CAP_2dd1750e": {
   "en": "Charging Schedule Disruption Recovery",
   "zh": "充电调度中断恢复",
   "level": "l3"
  },
  "CAP_8e2d3348": {
   "en": "ROS2 Skid Steer Control Pipeline",
   "zh": "ROS2 履带滑移转向控制流水线",
   "level": "l3"
  },
  "CAP_d4d90dee": {
   "en": "Hardware Interface And Controller Loading",
   "zh": "硬件接口与控制器加载",
   "level": "l3"
  },
  "CAP_0935d44d": {
   "en": "Twist Subscription And Speed Limiting",
   "zh": "Twist 命令订阅与限速",
   "level": "l3"
  },
  "CAP_bade65fe": {
   "en": "Tracked Diff Drive Velocity Dispatch",
   "zh": "履带差速驱动速度分发",
   "level": "l3"
  },
  "CAP_2ef1ac00": {
   "en": "Differential Drive Odometry Forward Kinematics",
   "zh": "差速驱动里程计正解",
   "level": "l3"
  },
  "CAP_31924971": {
   "en": "Differential Kinematics Resolution",
   "zh": "差速运动学正解",
   "level": "l3"
  },
  "CAP_09c7dc0b": {
   "en": "Per-Side Wheel Feedback Aggregation",
   "zh": "同侧轮反馈聚合",
   "level": "l3"
  },
  "CAP_61d76a7d": {
   "en": "Velocity Rolling Mean Filter",
   "zh": "速度滚动均值滤波",
   "level": "l3"
  },
  "CAP_15b5859d": {
   "en": "Velocity Command Dispatch",
   "zh": "速度指令下发",
   "level": "l3"
  },
  "CAP_c488c217": {
   "en": "ROS2 Holonomic Drive Velocity Pipeline",
   "zh": "ROS2 全向轮速度执行流水线",
   "level": "l2"
  },
  "CAP_d6bc5fc8": {
   "en": "Mecanum or Omni Wheel Parameter Loading",
   "zh": "全向轮参数加载",
   "level": "l3"
  },
  "CAP_998e0f9e": {
   "en": "3-DOF Twist Subscription and Speed Limiting",
   "zh": "3-DOF Twist 订阅与限速",
   "level": "l3"
  },
  "CAP_d8342411": {
   "en": "Mecanum Inverse Kinematics Resolution",
   "zh": "Mecanum 逆运动学解算",
   "level": "l3"
  },
  "CAP_208c61fc": {
   "en": "Omni N-Wheel Inverse Kinematics Resolution",
   "zh": "Omni N 轮逆运动学解算",
   "level": "l3"
  },
  "CAP_c32128ea": {
   "en": "Mecanum Forward Kinematics Resolution",
   "zh": "Mecanum 正运动学解算",
   "level": "l3"
  },
  "CAP_62b3ac24": {
   "en": "ArduPilot Rover Velocity Pipeline",
   "zh": "ArduPilot Rover 底盘速度执行流水线",
   "level": "l2"
  },
  "CAP_76dc1fb8": {
   "en": "ArduPilot Rover Frame Class Configuration",
   "zh": "ArduPilot Rover 帧型配置",
   "level": "l3"
  },
  "CAP_34328af1": {
   "en": "ArduPilot Rover Mode Manager Dispatch",
   "zh": "ArduPilot Rover 模式管理分发",
   "level": "l3"
  },
  "CAP_ed32cdfe": {
   "en": "L1 Navigation to Yaw Rate Resolution",
   "zh": "L1 导航到横摆角速率解算",
   "level": "l3"
  },
  "CAP_92fb976d": {
   "en": "STEER2SRV PI Closed-Loop Steering",
   "zh": "STEER2SRV PI 闭环转向控制",
   "level": "l3"
  },
  "CAP_2dc9ddb8": {
   "en": "Throttle Speed PID Closed-Loop",
   "zh": "油门速度 PID 闭环",
   "level": "l3"
  },
  "CAP_60fc361a": {
   "en": "AP MotorsUGV Output Mixing",
   "zh": "AP_MotorsUGV 输出混合",
   "level": "l3"
  },
  "CAP_eb224c1b": {
   "en": "Servo PWM Output to Actuators",
   "zh": "SERVO PWM 输出到执行器",
   "level": "l3"
  },
  "CAP_773c2465": {
   "en": "ArduPilot Skid Steer Control Pipeline",
   "zh": "ArduPilot 履带滑移转向控制流水线",
   "level": "l3"
  },
  "CAP_59930bfe": {
   "en": "CHOMP Trajectory Optimization",
   "zh": "CHOMP 轨迹优化",
   "level": "l2"
  },
  "CAP_ae1c4103": {
   "en": "Smoothness Cost Functional Construction",
   "zh": "平滑性代价泛函构建",
   "level": "l3"
  },
  "CAP_5e6390b4": {
   "en": "Trajectory Optimization Preconditioner",
   "zh": "轨迹优化预处理算子",
   "level": "l3"
  },
  "CAP_d5d72f6d": {
   "en": "Covariant Gradient Trajectory Update",
   "zh": "协变梯度轨迹更新",
   "level": "l3"
  },
  "CAP_a02d204a": {
   "en": "Reachability Based Trajectory Feasibility",
   "zh": "基于可达性的轨迹可行性",
   "level": "l2"
  },
  "CAP_30f45c22": {
   "en": "SCO/SQP Hard-Constrained Trajectory Optimization",
   "zh": "SCO/SQP 硬约束轨迹优化",
   "level": "l2"
  },
  "CAP_c8a91ae6": {
   "en": "Joint-Space Piecewise Time Parameterization",
   "zh": "关节空间分段式时间参数化",
   "level": "l2"
  },
  "CAP_2e3cdcd9": {
   "en": "Convex Hull Swept Volume Collision Checking",
   "zh": "凸包扫掠体碰撞检测",
   "level": "l3"
  },
  "CAP_7d886f1f": {
   "en": "Ruckig Microsecond Jerk-Limited Smoothing",
   "zh": "Ruckig 微秒级 jerk 受限平滑",
   "level": "l3"
  },
  "CAP_6cf8c867": {
   "en": "TrajOpt Sequential Convex Optimization",
   "zh": "TrajOpt 序列凸优化",
   "level": "l3"
  },
  "CAP_3a191d4a": {
   "en": "Planning Stack Trajectory Optimization Integration",
   "zh": "规划栈轨迹优化集成",
   "level": "l2"
  },
  "CAP_4c13a0ae": {
   "en": "Learning-Augmented Trajectory Optimization",
   "zh": "学习增强轨迹优化",
   "level": "l2"
  },
  "CAP_657b2b11": {
   "en": "Closed-Loop Incremental Trajectory Replanning",
   "zh": "闭环增量轨迹重规划",
   "level": "l2"
  },
  "CAP_9a22424f": {
   "en": "Planning Adapter Pipeline Configuration",
   "zh": "规划适配器管线配置",
   "level": "l3"
  },
  "CAP_748c3c41": {
   "en": "Gaussian Process Trajectory Prior Modeling",
   "zh": "高斯过程轨迹先验建模",
   "level": "l3"
  },
  "CAP_adcf9b4a": {
   "en": "Factor Graph Motion Planning Inference",
   "zh": "因子图运动规划推断",
   "level": "l3"
  },
  "CAP_2da265fb": {
   "en": "Circuit Breaker State Machine",
   "zh": "断路器状态机",
   "level": "l2"
  },
  "CAP_1ae50c7b": {
   "en": "Business Exception Exclusion",
   "zh": "业务异常排除",
   "level": "l3"
  },
  "CAP_2c2932aa": {
   "en": "Half-Open Probe Strategy",
   "zh": "半开探针策略",
   "level": "l3"
  },
  "CAP_5308f2c6": {
   "en": "Fallback Degradation",
   "zh": "降级回退",
   "level": "l3"
  },
  "CAP_6d876aa8": {
   "en": "Per-Service Instance Isolation",
   "zh": "每服务独立实例隔离",
   "level": "l3"
  },
  "CAP_124bc2a9": {
   "en": "Distributed State Sharing",
   "zh": "分布式状态共享",
   "level": "l3"
  },
  "CAP_76b646f7": {
   "en": "Sidecar Proxy Circuit Breaking",
   "zh": "Sidecar 代理断路",
   "level": "l2"
  },
  "CAP_9b8b257d": {
   "en": "Exponential Backoff Ejection",
   "zh": "指数退避驱逐",
   "level": "l3"
  },
  "CAP_9d610044": {
   "en": "Active Health Check Recovery",
   "zh": "主动健康检查恢复",
   "level": "l3"
  },
  "CAP_5e5d14c4": {
   "en": "xDS Configuration Hot Reload",
   "zh": "xDS 配置热生效",
   "level": "l3"
  },
  "CAP_58ce44b1": {
   "en": "CircuitBreakerPolicyConfiguration",
   "zh": "断路器策略配置",
   "level": "l3"
  },
  "CAP_57ce75b2": {
   "en": "LLM Direct Clarification Question Generation",
   "zh": "LLM直接澄清问题生成",
   "level": "l2"
  },
  "CAP_2f0bd5cd": {
   "en": "Clarification Context Assembly for Generation",
   "zh": "澄清生成上下文组装",
   "level": "l3"
  },
  "CAP_b453c7dd": {
   "en": "Clarification Question Type Decision",
   "zh": "澄清问题类型决策",
   "level": "l3"
  },
  "CAP_ebae5dc7": {
   "en": "Clarification Question Quality Validation",
   "zh": "澄清问题质量校验",
   "level": "l3"
  },
  "CAP_10347f47": {
   "en": "Few-shot Clarification Example Retrieval",
   "zh": "Few-shot澄清示例检索",
   "level": "l3"
  },
  "CAP_0b7d3ddf": {
   "en": "Information Gain Utility Driven Clarification Selection",
   "zh": "信息增益效用驱动澄清问题选择",
   "level": "l2"
  },
  "CAP_901e1738": {
   "en": "Clarification Question Candidate Pool Generation",
   "zh": "澄清问题候选池生成",
   "level": "l3"
  },
  "CAP_8799a803": {
   "en": "Answer Driven Utility Modeling",
   "zh": "答案驱动效用建模",
   "level": "l3"
  },
  "CAP_a8090442": {
   "en": "EVPI Based Clarification Question Ranking",
   "zh": "基于EVPI的澄清问题排序",
   "level": "l3"
  },
  "CAP_19053e99": {
   "en": "Clarification Question Keyword Prediction",
   "zh": "澄清问题关键词预测",
   "level": "l3"
  },
  "CAP_116d445b": {
   "en": "Grounded Visual Option Clarification Generation",
   "zh": "视觉接地选项式澄清问题生成",
   "level": "l2"
  },
  "CAP_76a1121d": {
   "en": "Visual Candidate Object Grounding for Clarification",
   "zh": "澄清用视觉候选物体接地",
   "level": "l3"
  },
  "CAP_d80b5a1e": {
   "en": "Reference Ambiguity Root Cause Analysis",
   "zh": "指代歧义根源分析",
   "level": "l3"
  },
  "CAP_f368c333": {
   "en": "Option Based Clarification Question Structuring",
   "zh": "选项式澄清问题结构化生成",
   "level": "l3"
  },
  "CAP_007fbac6": {
   "en": "Distinguishing Attribute Selection",
   "zh": "区分属性选择",
   "level": "l3"
  },
  "CAP_0e5cf58a": {
   "en": "Option Reachability Validation",
   "zh": "选项可达性校验",
   "level": "l3"
  },
  "CAP_066788ae": {
   "en": "Clarification Safety Filter",
   "zh": "澄清安全过滤",
   "level": "l3"
  },
  "CAP_38ec9bf8": {
   "en": "Candidate Info-Gathering Action Enumeration",
   "zh": "候选信息获取动作枚举",
   "level": "l3"
  },
  "CAP_1cc9ae9f": {
   "en": "Template-based Question Synthesis",
   "zh": "模板化问题合成",
   "level": "l3"
  },
  "CAP_15f5556e": {
   "en": "Calibrated Set-Size Help-Seeking Timing",
   "zh": "校准集大小求助时机",
   "level": "l2"
  },
  "CAP_ee319d98": {
   "en": "Multiple-Choice Candidate Option Generation",
   "zh": "多选题候选生成",
   "level": "l3"
  },
  "CAP_8b736f51": {
   "en": "LLM Option Confidence Scoring",
   "zh": "LLM 选项置信度评分",
   "level": "l3"
  },
  "CAP_6089e044": {
   "en": "Conformal Calibration Quantile Estimation",
   "zh": "共形校准分位点估计",
   "level": "l3"
  },
  "CAP_da353265": {
   "en": "Deferred Clarification Scheduling",
   "zh": "延迟澄清调度",
   "level": "l2"
  },
  "CAP_c255e1a1": {
   "en": "Multi-Step Instruction Decomposition",
   "zh": "多步指令分解",
   "level": "l3"
  },
  "CAP_e754fd19": {
   "en": "Binding-Step Ambiguity Marking",
   "zh": "绑定步骤歧义标注",
   "level": "l3"
  },
  "CAP_65b638c2": {
   "en": "Sequence-Level Conformal Calibration",
   "zh": "序列级共形校准",
   "level": "l3"
  },
  "CAP_78953676": {
   "en": "Causal Reconstruction Prediction Set",
   "zh": "因果重构预测集",
   "level": "l3"
  },
  "CAP_c9cc89eb": {
   "en": "Execution-Feedback Replan without Help",
   "zh": "执行反馈无求助重规划",
   "level": "l3"
  },
  "CAP_86964366": {
   "en": "Deferred Clarification Dispatch",
   "zh": "延迟澄清调度",
   "level": "l3"
  },
  "CAP_40e83540": {
   "en": "Criticality-Adaptive Clarification Timing",
   "zh": "关键度自适应澄清时机",
   "level": "l2"
  },
  "CAP_aba8c4eb": {
   "en": "Task Criticality Estimation",
   "zh": "任务关键度估计",
   "level": "l3"
  },
  "CAP_b1067b52": {
   "en": "Risk-Coverage Base Threshold Calibration",
   "zh": "风险覆盖基准阈值校准",
   "level": "l3"
  },
  "CAP_6b2c92fd": {
   "en": "Criticality-Modulated Threshold Generation",
   "zh": "关键度调制阈值生成",
   "level": "l3"
  },
  "CAP_0c857ad8": {
   "en": "Adaptive Conformal Online Update",
   "zh": "自适应共形在线更新",
   "level": "l3"
  },
  "CAP_93b36fd8": {
   "en": "Criticality-Aware Timing Decision",
   "zh": "关键度感知时机决策",
   "level": "l3"
  },
  "CAP_daaed1af": {
   "en": "A* Optimal Classical Planning",
   "zh": "A*最优经典规划",
   "level": "l2"
  },
  "CAP_d3635c7d": {
   "en": "Admissible Heuristic Binding for A*",
   "zh": "A*可采纳启发式绑定",
   "level": "l3"
  },
  "CAP_657bce72": {
   "en": "Optimal State-Space A* Search",
   "zh": "最优状态空间A*搜索",
   "level": "l3"
  },
  "CAP_048bac97": {
   "en": "PDDL Plan Extraction via Parent Backtrace",
   "zh": "PDDL计划父指针回溯提取",
   "level": "l3"
  },
  "CAP_3732f4a8": {
   "en": "WA* Bounded-Suboptimal Classical Planning",
   "zh": "WA*有界次优经典规划",
   "level": "l2"
  },
  "CAP_3171ce6a": {
   "en": "WA* Weight Factor and Evaluator Binding",
   "zh": "WA*权重因子与评估器绑定",
   "level": "l3"
  },
  "CAP_25c67c03": {
   "en": "FF Enforced Hill-Climbing Classical Planning",
   "zh": "FF强制爬山经典规划",
   "level": "l2"
  },
  "CAP_5d6038e4": {
   "en": "Helpful Actions Extraction",
   "zh": "有用动作提取",
   "level": "l3"
  },
  "CAP_f0203883": {
   "en": "Enforced Hill-Climbing Local Search",
   "zh": "强制爬山局部搜索",
   "level": "l3"
  },
  "CAP_d5bc9885": {
   "en": "Greedy Best-First Search Fallback",
   "zh": "贪心最佳优先搜索回退",
   "level": "l3"
  },
  "CAP_c1ea5a01": {
   "en": "Clearance Fit Assembly Pipeline",
   "zh": "间隙配合装配流水线",
   "level": "l2"
  },
  "CAP_c1ea5a02": {
   "en": "Force-Position Hybrid Search Insertion",
   "zh": "力位混合搜索插入",
   "level": "l2"
  },
  "CAP_c1ea5a10": {
   "en": "Coarse Positioning and Compliant Approach",
   "zh": "粗定位与柔顺接近",
   "level": "l3"
  },
  "CAP_c1ea5a11": {
   "en": "Force-Position Selection Matrix Configuration",
   "zh": "力位选择矩阵配置",
   "level": "l3"
  },
  "CAP_c1ea5a12": {
   "en": "Impedance Admittance Control Execution",
   "zh": "阻抗导纳控制执行",
   "level": "l3"
  },
  "CAP_c1ea5a13": {
   "en": "Jamming and Wedging Detection",
   "zh": "卡阻与楔紧检测",
   "level": "l3"
  },
  "CAP_c1ea5a14": {
   "en": "Force-Monitored Insertion Push",
   "zh": "力监测插入推压",
   "level": "l3"
  },
  "CAP_c1ea5a03": {
   "en": "Sim-to-Real RL Insertion Policy",
   "zh": "仿真到真实强化学习插入策略",
   "level": "l2"
  },
  "CAP_c1ea5a20": {
   "en": "SDF-Based Reward Shaping",
   "zh": "SDF奖励塑形",
   "level": "l3"
  },
  "CAP_c1ea5a21": {
   "en": "Sampling-Based Curriculum Learning",
   "zh": "采样式课程学习",
   "level": "l3"
  },
  "CAP_c1ea5a22": {
   "en": "Simulation-Aware Policy Update",
   "zh": "仿真感知策略更新",
   "level": "l3"
  },
  "CAP_c1ea5a23": {
   "en": "Policy-Level Action Integrator",
   "zh": "策略级动作积分器",
   "level": "l3"
  },
  "CAP_c1ea5a04": {
   "en": "Visuomotor Imitation Learning Insertion",
   "zh": "视觉运动模仿学习插入",
   "level": "l2"
  },
  "CAP_c1ea5a30": {
   "en": "Teleoperation Demonstration Collection",
   "zh": "遥操作示范采集",
   "level": "l3"
  },
  "CAP_c1ea5a31": {
   "en": "MimicGen Automated Data Augmentation",
   "zh": "MimicGen自动数据增广",
   "level": "l3"
  },
  "CAP_c1ea5a32": {
   "en": "Conditional Diffusion Policy Training",
   "zh": "条件扩散策略训练",
   "level": "l3"
  },
  "CAP_c1ea5a33": {
   "en": "Receding Horizon Action Execution",
   "zh": "滚动时域动作执行",
   "level": "l3"
  },
  "CAP_c8e63be4": {
   "en": "Nav2 BT Costmap Clear Recovery",
   "zh": "Nav2 BT 代价地图清除恢复",
   "level": "l2"
  },
  "CAP_8c9117e2": {
   "en": "Move Base Clear Costmap Recovery",
   "zh": "Move Base 代价地图清除恢复",
   "level": "l2"
  },
  "CAP_dd6a0b24": {
   "en": "ClearCostmap Service Backend",
   "zh": "清除代价地图服务后端",
   "level": "l3"
  },
  "CAP_4f4bdd13": {
   "en": "Costmap Layer Reset and Rebuild",
   "zh": "代价地图层重置与重建",
   "level": "l3"
  },
  "CAP_29b60bef": {
   "en": "BT Clear Costmap Status Mapping",
   "zh": "BT 清除代价地图状态映射",
   "level": "l3"
  },
  "CAP_1fbe5aa1": {
   "en": "Affected Maps Layer Filtering",
   "zh": "受影响地图与层过滤",
   "level": "l3"
  },
  "CAP_a031c8c2": {
   "en": "Costmap Window Clear Computation",
   "zh": "代价地图窗口清除计算",
   "level": "l3"
  },
  "CAP_f2958af9": {
   "en": "Force Update and Recovery Completion",
   "zh": "强制更新与恢复完成",
   "level": "l3"
  },
  "CAP_a3549d18": {
   "en": "Forward Iterative Segmentation",
   "zh": "前向迭代分割",
   "level": "l2"
  },
  "CAP_ec158d50": {
   "en": "Click Distance Transform Encoding",
   "zh": "点击距离变换编码",
   "level": "l3"
  },
  "CAP_3e6ba152": {
   "en": "Previous Mask Guidance Encoding",
   "zh": "前次掩码引导编码",
   "level": "l3"
  },
  "CAP_2243c6bf": {
   "en": "CNN Interactive Segmentation Backbone",
   "zh": "CNN交互式分割骨干网络",
   "level": "l3"
  },
  "CAP_47ea038c": {
   "en": "Plain ViT Interactive Backbone",
   "zh": "Plain ViT交互分割骨干",
   "level": "l3"
  },
  "CAP_33bbcf5a": {
   "en": "Multi-Scale Feature Decoder",
   "zh": "多尺度特征解码",
   "level": "l3"
  },
  "CAP_125e21fa": {
   "en": "ZoomIn Local Refinement",
   "zh": "ZoomIn局部放大精修",
   "level": "l3"
  },
  "CAP_2e9a04bf": {
   "en": "Iterative Click Simulation Training",
   "zh": "迭代点击模拟训练",
   "level": "l3"
  },
  "CAP_24e63107": {
   "en": "NoC Evaluation Metric",
   "zh": "NoC评测指标计算",
   "level": "l3"
  },
  "CAP_71767c17": {
   "en": "BRS Test-time Optimization Progressive Refinement",
   "zh": "BRS测试时梯度优化渐进精修",
   "level": "l2"
  },
  "CAP_cb01d550": {
   "en": "Test-time Optimization for Interactive Refinement",
   "zh": "测试时交互优化精修",
   "level": "l3"
  },
  "CAP_afc0a3f9": {
   "en": "External Mask Correction",
   "zh": "外部掩码修正",
   "level": "l3"
  },
  "CAP_a572b522": {
   "en": "Promptable Segmentation Inference",
   "zh": "提示式分割基础模型推理",
   "level": "l2"
  },
  "CAP_583ac231": {
   "en": "SAM Prompt Encoding",
   "zh": "SAM提示编码",
   "level": "l3"
  },
  "CAP_6cd617e5": {
   "en": "Point/Box Prompt Collection",
   "zh": "点/框提示采集",
   "level": "l3"
  },
  "CAP_caa57904": {
   "en": "Image Embedding Reuse",
   "zh": "图像嵌入缓存复用",
   "level": "l3"
  },
  "CAP_18b13ed6": {
   "en": "SAM Mask Decoder",
   "zh": "SAM掩码解码器",
   "level": "l3"
  },
  "CAP_edc4e5df": {
   "en": "Mask Prompt Refinement",
   "zh": "掩码提示精修",
   "level": "l3"
  },
  "CAP_0d651c25": {
   "en": "Corrective Prompt Collection",
   "zh": "纠错提示采集",
   "level": "l3"
  },
  "CAP_27522641": {
   "en": "SAM2 Memory Attention",
   "zh": "SAM 2记忆注意力",
   "level": "l3"
  },
  "CAP_48cfd627": {
   "en": "Language Grounded Detection Segmentation",
   "zh": "语言接地检测分割",
   "level": "l3"
  },
  "CAP_1fccc2d9": {
   "en": "Foundation-Model Open-Vocabulary Panoptic Segmentation",
   "zh": "基础模型开放词表全景分割",
   "level": "l3"
  },
  "CAP_1e015229": {
   "en": "Generalized Decoding for Segmentation",
   "zh": "通用分割联合解码",
   "level": "l3"
  },
  "CAP_72baa2f9": {
   "en": "Multimodal Prompt Unified Encoding",
   "zh": "多模态提示统一编码",
   "level": "l3"
  },
  "CAP_0e32f98f": {
   "en": "Climbing Contact Planning",
   "zh": "攀爬接触规划",
   "level": "l2"
  },
  "CAP_2d20b647": {
   "en": "Phase-Based End-Effector Contact Parameterization",
   "zh": "相位基末端接触参数化",
   "level": "l3"
  },
  "CAP_d01570d1": {
   "en": "Centroidal-Contact Co-optimization via FDDP",
   "zh": "质心-接触力联合 FDDP 优化",
   "level": "l3"
  },
  "CAP_a1f61bf4": {
   "en": "Actuator-Aware Kino-Dynamic Trajectory Optimization",
   "zh": "执行器感知运动动力学轨迹优化",
   "level": "l3"
  },
  "CAP_c4cc833e": {
   "en": "Terrain-Aware Contact Candidate Generation",
   "zh": "地形感知接触候选生成",
   "level": "l3"
  },
  "CAP_9bcd40e7": {
   "en": "Reachability-Stability Contact Graph Search",
   "zh": "可达-稳定性接触图搜索",
   "level": "l3"
  },
  "CAP_cea61630": {
   "en": "6D Contact Wrench Cone Construction",
   "zh": "六维接触力锥构造",
   "level": "l3"
  },
  "CAP_483cdec5": {
   "en": "Pendular Support Area CoM Trajectory Planning",
   "zh": "摆体支撑域质心轨迹规划",
   "level": "l3"
  },
  "CAP_a959519d": {
   "en": "TSID Multi-Contact Wrench Resolution",
   "zh": "TSID 多接触力分辨",
   "level": "l3"
  },
  "CAP_6c13f7ef": {
   "en": "Climbing Terrain Curriculum Design",
   "zh": "攀爬地形课程设计",
   "level": "l3"
  },
  "CAP_87225500": {
   "en": "Contact-Stability-Aware Reward Shaping",
   "zh": "接触稳定性感知奖励塑形",
   "level": "l3"
  },
  "CAP_c0d2a59a": {
   "en": "Proprioceptive-Terrain Contact Policy Inference",
   "zh": "本体感知-地形接触策略推理",
   "level": "l3"
  },
  "CAP_11c49259": {
   "en": "Behavior Library Contact Selection",
   "zh": "行为库接触选择",
   "level": "l3"
  },
  "CAP_4843e080": {
   "en": "Trajectory and Contact Force Parameterization",
   "zh": "轨迹与接触力参数化",
   "level": "l3"
  },
  "CAP_2da543a0": {
   "en": "WBC Multi-Contact ZMP Support Area",
   "zh": "多接触 ZMP 支撑域 2D 投影",
   "level": "l3"
  },
  "CAP_25cea381": {
   "en": "Plane Segmentation and Contact Candidate Extraction",
   "zh": "平面分割与接触候选提取",
   "level": "l2"
  },
  "CAP_e2db70a7": {
   "en": "Plane Segmentation from Lidar Point Cloud",
   "zh": "激光点云平面分割",
   "level": "l3"
  },
  "CAP_bd2fc1af": {
   "en": "Foothold and Contact Candidate Extraction",
   "zh": "落脚点与接触候选提取",
   "level": "l3"
  },
  "CAP_f92c6d36": {
   "en": "Transition Contact Sequence Search",
   "zh": "过渡接触序列搜索",
   "level": "l3"
  },
  "CAP_93305f0f": {
   "en": "Multi-contact Stability Analysis and Trajectory Generation",
   "zh": "多接触稳定性分析与轨迹生成",
   "level": "l2"
  },
  "CAP_f88a8574": {
   "en": "Multi-contact ZMP Support Area Computation",
   "zh": "多接触ZMP支撑域计算",
   "level": "l3"
  },
  "CAP_4aebdca7": {
   "en": "Quasi-static COM Trajectory Generation",
   "zh": "准静态质心轨迹生成",
   "level": "l3"
  },
  "CAP_f123f70b": {
   "en": "Whole-body Differential IK Motion Synthesis",
   "zh": "全身差分逆运动学合成",
   "level": "l3"
  },
  "CAP_9024236c": {
   "en": "Contact-stability Verification",
   "zh": "接触稳定性验证",
   "level": "l3"
  },
  "CAP_e4fcadae": {
   "en": "Multi-contact Quasi-static Transition Planning",
   "zh": "多接触准静态过渡规划",
   "level": "l2"
  },
  "CAP_305305c7": {
   "en": "Static-equilibrium Polygon Computation",
   "zh": "静态平衡多边形计算",
   "level": "l3"
  },
  "CAP_5ad290ca": {
   "en": "Candidate Contact Point Generation",
   "zh": "候选接触点生成",
   "level": "l3"
  },
  "CAP_0ba08372": {
   "en": "Supervoxel Plane Segmentation",
   "zh": "超体素平面分割",
   "level": "l2"
  },
  "CAP_74d4bd30": {
   "en": "Contact Planning and Stability Polygon Computation",
   "zh": "接触规划与稳定多边形计算",
   "level": "l2"
  },
  "CAP_1559362b": {
   "en": "Stability Polygon Computation",
   "zh": "稳定多边形计算",
   "level": "l3"
  },
  "CAP_1d0c0b69": {
   "en": "Quasi-static Motion Generation",
   "zh": "准静态运动生成",
   "level": "l2"
  },
  "CAP_32430707": {
   "en": "Quasi-static Motion Planning",
   "zh": "准静态运动规划",
   "level": "l3"
  },
  "CAP_21b87f54": {
   "en": "ZMP Support Area Computation",
   "zh": "ZMP 支撑域计算",
   "level": "l2"
  },
  "CAP_724ac640": {
   "en": "Full Support Area Computation",
   "zh": "全支撑域计算",
   "level": "l3"
  },
  "CAP_4c8cba87": {
   "en": "Pendular Support Area Computation",
   "zh": "摆式支撑域计算",
   "level": "l3"
  },
  "CAP_8ec2a00c": {
   "en": "COM Trajectory Generation and MPC",
   "zh": "质心轨迹生成与模型预测控制",
   "level": "l2"
  },
  "CAP_7b7d02dc": {
   "en": "ZMP-COM Trajectory Generation",
   "zh": "ZMP-COM 轨迹生成",
   "level": "l3"
  },
  "CAP_0e24030f": {
   "en": "Model Predictive Control for COM",
   "zh": "质心模型预测控制",
   "level": "l3"
  },
  "CAP_82a8d9a5": {
   "en": "Whole-body Inverse Kinematics",
   "zh": "全身逆运动学",
   "level": "l2"
  },
  "CAP_0e31d47f": {
   "en": "Whole-body IK Solving",
   "zh": "全身逆运动学求解",
   "level": "l3"
  },
  "CAP_b17363bd": {
   "en": "Quasi-static Stair Climbing Perception",
   "zh": "准静态楼梯攀爬感知",
   "level": "l2"
  },
  "CAP_21604f77": {
   "en": "Real-time Plane Segmentation",
   "zh": "实时平面分割",
   "level": "l3"
  },
  "CAP_73473ce5": {
   "en": "Contact Wrench Cone Computation",
   "zh": "接触力矩锥计算",
   "level": "l3"
  },
  "CAP_5b2118b3": {
   "en": "ZMP Support Area Projection",
   "zh": "ZMP 支撑域投影",
   "level": "l3"
  },
  "CAP_d773c54f": {
   "en": "Contact Sequence Search",
   "zh": "接触序列搜索",
   "level": "l3"
  },
  "CAP_06e1bf9b": {
   "en": "Whole-body Motion Generation",
   "zh": "全身运动生成",
   "level": "l2"
  },
  "CAP_eff641a6": {
   "en": "ZMP Stability Verification",
   "zh": "ZMP 稳定性验证",
   "level": "l3"
  },
  "CAP_83619ff4": {
   "en": "Dynamic Balance Control",
   "zh": "动态平衡控制",
   "level": "l2"
  },
  "CAP_6f267559": {
   "en": "CoM Trajectory Tracking",
   "zh": "质心轨迹跟踪",
   "level": "l3"
  },
  "CAP_71220805": {
   "en": "Whole-body Impedance Control",
   "zh": "全身阻抗控制",
   "level": "l3"
  },
  "CAP_e3c56b13": {
   "en": "Transition Problem Modeling",
   "zh": "过渡问题建模",
   "level": "l2"
  },
  "CAP_bfed26bd": {
   "en": "Transition Scene and Terrain Definition",
   "zh": "过渡场景与地形定义",
   "level": "l3"
  },
  "CAP_0c20d815": {
   "en": "Simplified Dynamics Model Construction",
   "zh": "简化动力学模型构建",
   "level": "l3"
  },
  "CAP_4248e25b": {
   "en": "Phase Timing and Contact Mode Parameterization",
   "zh": "相位时序与接触模式参数化",
   "level": "l3"
  },
  "CAP_48f9dca0": {
   "en": "OCP Assembly and Transcription",
   "zh": "OCP装配与转写",
   "level": "l2"
  },
  "CAP_abefc2e3": {
   "en": "Stability and Friction Constraint Assembly",
   "zh": "稳定性与摩擦约束装配",
   "level": "l3"
  },
  "CAP_e55a8c34": {
   "en": "Direct Collocation NLP Transcription",
   "zh": "直接配点NLP转写",
   "level": "l3"
  },
  "CAP_0c361900": {
   "en": "NLP Solve and Warm Start",
   "zh": "NLP求解与暖启动",
   "level": "l3"
  },
  "CAP_a0e670c1": {
   "en": "Result Extraction and Visualization",
   "zh": "结果提取与可视化",
   "level": "l3"
  },
  "CAP_4ed81566": {
   "en": "Whole-body Mapping and Verification",
   "zh": "全身映射与验证",
   "level": "l2"
  },
  "CAP_8e14180b": {
   "en": "Centroidal Momentum Trajectory Optimization Pipeline",
   "zh": "质心动量轨迹优化管线",
   "level": "l2"
  },
  "CAP_f50b3725": {
   "en": "SRBD Contact Force Spline Optimization",
   "zh": "SRBD 接触力样条优化",
   "level": "l3"
  },
  "CAP_bacfaeea": {
   "en": "Transition NLP Solving with Warm Start",
   "zh": "过渡轨迹 NLP 求解与暖启动",
   "level": "l3"
  },
  "CAP_57359830": {
   "en": "Warm Start Strategy",
   "zh": "热启动策略",
   "level": "l3"
  },
  "CAP_a939bf63": {
   "en": "Reward Shaping for Parkour",
   "zh": "跑酷奖励塑形",
   "level": "l3"
  },
  "CAP_e16589c5": {
   "en": "Parallel PPO Teacher Training with ROA",
   "zh": "并行PPO教师训练与ROA适应",
   "level": "l3"
  },
  "CAP_89026b52": {
   "en": "DAgger Vision Policy Distillation",
   "zh": "DAgger视觉策略蒸馏",
   "level": "l3"
  },
  "CAP_2f7450a0": {
   "en": "Heading Direction Distillation (MTS)",
   "zh": "方向预测蒸馏（MTS）",
   "level": "l3"
  },
  "CAP_448da153": {
   "en": "Latency-Calibrated Onboard Deployment",
   "zh": "延迟校准板载部署",
   "level": "l3"
  },
  "CAP_844bf1e5": {
   "en": "Software PLL FLL Clock Discipline Pipeline",
   "zh": "软件 PLL FLL 时钟控制环流水线",
   "level": "l2"
  },
  "CAP_01ef7397": {
   "en": "NTP Clock Filter Wedge",
   "zh": "NTP 时钟过滤器楔形选点",
   "level": "l3"
  },
  "CAP_8d030054": {
   "en": "NTP Skew Offset Regression",
   "zh": "NTP 偏移与频率偏移最小二乘回归",
   "level": "l3"
  },
  "CAP_768238ce": {
   "en": "PLL FLL Combined Loop Filter",
   "zh": "PLL FLL 联合环路滤波器",
   "level": "l3"
  },
  "CAP_4ec71352": {
   "en": "Kernel adjtimex Frequency Correction",
   "zh": "内核 adjtimex 频率修正施加",
   "level": "l3"
  },
  "CAP_f91e0153": {
   "en": "Driftfile Persistence and RTC Sync",
   "zh": "漂移文件持久化与 RTC 同步",
   "level": "l3"
  },
  "CAP_76f5016c": {
   "en": "WSN Batch Skew Estimation Pipeline",
   "zh": "WSN 批量偏移估计流水线",
   "level": "l2"
  },
  "CAP_c0e78910": {
   "en": "Reference Broadcast Sample Collection",
   "zh": "参考广播样本采集",
   "level": "l3"
  },
  "CAP_57d0755e": {
   "en": "MAC Layer Timestamping",
   "zh": "MAC 层时间戳",
   "level": "l3"
  },
  "CAP_7f93c94d": {
   "en": "Two-Way Pairwise Synchronization",
   "zh": "双向成对同步",
   "level": "l3"
  },
  "CAP_96e39be8": {
   "en": "Skew Offset Linear Regression",
   "zh": "偏移与频率偏移线性回归",
   "level": "l3"
  },
  "CAP_431da63a": {
   "en": "Multi-hop Topology Propagation",
   "zh": "多跳拓扑传播与根选举",
   "level": "l3"
  },
  "CAP_ddade4e3": {
   "en": "GPSDO Oscillator Discipline Pipeline",
   "zh": "GPSDO 振荡器驯服流水线",
   "level": "l2"
  },
  "CAP_42199109": {
   "en": "PPS Reference and Phase Error Measurement",
   "zh": "PPS 参考采集与相位误差测量",
   "level": "l3"
  },
  "CAP_6b0809cd": {
   "en": "OCXO Aging Model Estimation",
   "zh": "OCXO 老化模型估计",
   "level": "l3"
  },
  "CAP_5bda4334": {
   "en": "OCXO Temperature Sensitivity Modeling",
   "zh": "OCXO 温度敏感性建模",
   "level": "l3"
  },
  "CAP_9d3c7fca": {
   "en": "Second-order PLL PI Control Law DAC Output",
   "zh": "二阶 PLL PI 控制律 DAC 输出",
   "level": "l3"
  },
  "CAP_55e7008d": {
   "en": "Holdover Mode Drift Extrapolation",
   "zh": "Holdover 模式漂移外推",
   "level": "l3"
  },
  "CAP_cc010101": {
   "en": "Cloth Instance Perception",
   "zh": "布料实例感知",
   "level": "l2"
  },
  "CAP_cc010201": {
   "en": "Garment Instance Detection",
   "zh": "服装实例检测",
   "level": "l3"
  },
  "CAP_cc010202": {
   "en": "Clothing Landmark Detection",
   "zh": "服装关键点检测",
   "level": "l3"
  },
  "CAP_cc010102": {
   "en": "Garment Attribute Prediction",
   "zh": "服装属性预测",
   "level": "l2"
  },
  "CAP_cc010203": {
   "en": "Garment Category Classification",
   "zh": "服装类别分类",
   "level": "l3"
  },
  "CAP_cc010204": {
   "en": "Clothing Attribute Multi-Label Prediction",
   "zh": "服装多标签属性预测",
   "level": "l3"
  },
  "CAP_cc010205": {
   "en": "Cloth Color Extraction",
   "zh": "布料颜色提取",
   "level": "l3"
  },
  "CAP_cc010206": {
   "en": "Cloth Size Estimation",
   "zh": "布料尺寸估计",
   "level": "l3"
  },
  "CAP_bf33fc1b": {
   "en": "Sorting Decision Aggregation",
   "zh": "分拣决策聚合",
   "level": "l3"
  },
  "CAP_b9654eff": {
   "en": "Vision-Tactile Sensing Integration",
   "zh": "视触觉感知融合",
   "level": "l3"
  },
  "CAP_cc020203": {
   "en": "Tactile Feature Extraction",
   "zh": "触觉特征提取",
   "level": "l3"
  },
  "CAP_5a43dfac": {
   "en": "Material Class Recognition",
   "zh": "材质类别识别",
   "level": "l3"
  },
  "CAP_ef1da96b": {
   "en": "Material Property Annotation",
   "zh": "材质属性标注",
   "level": "l3"
  },
  "CAP_17f6e509": {
   "en": "Multimodal Perception (Vision-Tactile)",
   "zh": "多模态感知（视觉-触觉）",
   "level": "l2"
  },
  "CAP_15a7524e": {
   "en": "Multimodal Attribute Classification",
   "zh": "多模态属性分类",
   "level": "l2"
  },
  "CAP_2b512dcb": {
   "en": "Multimodal Fusion (Cross-Modality)",
   "zh": "多模态融合（跨模态）",
   "level": "l3"
  },
  "CAP_cc030207": {
   "en": "Multimodal Sorting Decision",
   "zh": "多模态分拣决策",
   "level": "l3"
  },
  "CAP_039fb7bf": {
   "en": "Geometric Wrinkle Detection and Reactive Pulling",
   "zh": "几何褶皱检测与反应式拉拽",
   "level": "l2"
  },
  "CAP_e4140186": {
   "en": "RGBDCloth Image Acquisition",
   "zh": "RGBD 布料图像采集",
   "level": "l3"
  },
  "CAP_bda246f1": {
   "en": "Gabor Filter Wrinkle Direction Detection",
   "zh": "Gabor 滤波器褶皱方向检测",
   "level": "l3"
  },
  "CAP_432b76b5": {
   "en": "Wrinkle Region Segmentation",
   "zh": "褶皱区域分割",
   "level": "l3"
  },
  "CAP_cbd821e9": {
   "en": "Perpendicular Pull Point Selection",
   "zh": "垂直褶皱拉拽点选择",
   "level": "l3"
  },
  "CAP_ef5795ae": {
   "en": "Pull Vector And Distance Planning",
   "zh": "拉拽向量与距离规划",
   "level": "l3"
  },
  "CAP_9c436468": {
   "en": "Quasi Static Pull Execution",
   "zh": "准静态拉拽执行",
   "level": "l3"
  },
  "CAP_c10145a6": {
   "en": "Flattening Coverage Assessment",
   "zh": "展平覆盖率评估",
   "level": "l3"
  },
  "CAP_3e12b56b": {
   "en": "Sim-to-Real Imitation Learning of Sequential Pulling",
   "zh": "仿真到真机模仿学习的序列拉拽",
   "level": "l2"
  },
  "CAP_96dad1e1": {
   "en": "Cloth Simulation And Demo Generation",
   "zh": "布料仿真与演示数据生成",
   "level": "l3"
  },
  "CAP_1d342747": {
   "en": "Pick Pull Policy Training DAgger BC",
   "zh": "Pick-Pull 策略 DAgger/BC 训练",
   "level": "l3"
  },
  "CAP_d0abdd63": {
   "en": "VLMZero Shot Action Inference",
   "zh": "VLM 零样本动作推理",
   "level": "l3"
  },
  "CAP_11b681b0": {
   "en": "RGBDCloth State Observation",
   "zh": "RGBD 布料状态观测",
   "level": "l3"
  },
  "CAP_27d781e2": {
   "en": "Pick Pull Action Parameter Regression",
   "zh": "Pick-Pull 动作参数回归",
   "level": "l3"
  },
  "CAP_35eec821": {
   "en": "Sequential Pulling Execution",
   "zh": "序列拉拽执行",
   "level": "l3"
  },
  "CAP_c3d8ae76": {
   "en": "Coverage Feedback And Policy Update",
   "zh": "覆盖率反馈与策略更新",
   "level": "l3"
  },
  "CAP_488a054a": {
   "en": "Domain Randomized Sim-to-Real Transfer",
   "zh": "域随机化仿真到真机迁移",
   "level": "l3"
  },
  "CAP_d8da8c9a": {
   "en": "Model-Based Dynamics Learning for Cloth Smoothing",
   "zh": "基于显式动力学模型的布料展平规划",
   "level": "l2"
  },
  "CAP_8d5e20da": {
   "en": "Cloth Particle State Reconstruction",
   "zh": "布料粒子状态重建",
   "level": "l3"
  },
  "CAP_f67e285f": {
   "en": "Visible Connectivity Graph Inference",
   "zh": "可见连接图推断",
   "level": "l3"
  },
  "CAP_d94e449e": {
   "en": "Mesh Reconstruction Occlusion Reasoning",
   "zh": "Mesh 重建与遮挡推理",
   "level": "l3"
  },
  "CAP_1bd1d18c": {
   "en": "GNNCloth Dynamics Learning",
   "zh": "GNN 布料动力学学习",
   "level": "l3"
  },
  "CAP_022598fc": {
   "en": "Model Predictive Planning Smoothing",
   "zh": "模型预测展平规划",
   "level": "l3"
  },
  "CAP_2a151215": {
   "en": "Dynamics Guided Pull Execution",
   "zh": "动力学引导拉拽执行",
   "level": "l3"
  },
  "CAP_61ccdb16": {
   "en": "Dynamic Flinging for Cloth Unfolding",
   "zh": "动态投掷布料展开",
   "level": "l2"
  },
  "CAP_c68446be": {
   "en": "Dual Arm Grasp Point Detection",
   "zh": "双臂抓取点检测",
   "level": "l3"
  },
  "CAP_f0fadd82": {
   "en": "Spatial Action Map Value Prediction",
   "zh": "空间动作图价值预测",
   "level": "l3"
  },
  "CAP_4ea04593": {
   "en": "Fling Action Primitive Parameterization",
   "zh": "Fling 动作原语参数化",
   "level": "l3"
  },
  "CAP_42981bed": {
   "en": "High Velocity Fling Execution",
   "zh": "高速 Fling 执行",
   "level": "l3"
  },
  "CAP_d93f3308": {
   "en": "Self Supervised Fling Policy Training",
   "zh": "自监督 Fling 策略训练",
   "level": "l3"
  },
  "CAP_c4c91dee": {
   "en": "Visual Foresight Based Cloth Folding",
   "zh": "视觉预测模型预测式布料折叠",
   "level": "l2"
  },
  "CAP_f4a9a203": {
   "en": "RGBD Visual Dynamics Model Training",
   "zh": "RGBD 视觉动力学模型训练",
   "level": "l3"
  },
  "CAP_7069f0f0": {
   "en": "Goal-Conditioned CEM-MPC Planning over Visual Dynamics",
   "zh": "基于视觉动力学的目标条件 CEM-MPC 规划",
   "level": "l3"
  },
  "CAP_3730e807": {
   "en": "Pick-and-Pull Cloth Manipulation Primitive",
   "zh": "抓取-拉拽布料操作原语",
   "level": "l3"
  },
  "CAP_c7895f2e": {
   "en": "Sim-to-Real Transfer via Domain Randomization",
   "zh": "域随机化仿真到真机迁移",
   "level": "l3"
  },
  "CAP_04a6b9d4": {
   "en": "dVRK Surgical Robot Cloth Folding Execution",
   "zh": "dVRK 手术机器人布料折叠执行",
   "level": "l3"
  },
  "CAP_b0859686": {
   "en": "Mass-Spring Cloth Simulation Training",
   "zh": "质量弹簧布料仿真用于视觉动力学训练",
   "level": "l3"
  },
  "CAP_f49d6557": {
   "en": "Bimanual Action Primitive Imitation Folding",
   "zh": "双臂动作原语模仿学习折叠",
   "level": "l2"
  },
  "CAP_e41917a8": {
   "en": "Hybrid Dataset Construction for Bimanual Folding",
   "zh": "双臂折叠混合数据集构建",
   "level": "l3"
  },
  "CAP_42808465": {
   "en": "Bimanual Manipulation Network Pose Regression",
   "zh": "双臂操作网络位姿回归",
   "level": "l3"
  },
  "CAP_37c461a1": {
   "en": "Bimanual Action Primitive Execution",
   "zh": "双臂动作原语执行",
   "level": "l3"
  },
  "CAP_1ca7cd25": {
   "en": "Fold Line Instruction Parsing",
   "zh": "折叠线指令解析",
   "level": "l3"
  },
  "CAP_89b96579": {
   "en": "Garment Folding Success Evaluation",
   "zh": "衣物折叠成功率评估",
   "level": "l3"
  },
  "CAP_58f02019": {
   "en": "Simulated RL Benchmark Cloth Folding",
   "zh": "仿真 RL 基准布料折叠",
   "level": "l2"
  },
  "CAP_766d2b25": {
   "en": "SoftGym FoldCloth Environment Setup",
   "zh": "SoftGym FoldCloth 环境搭建",
   "level": "l3"
  },
  "CAP_ae144736": {
   "en": "CEM-with-Oracle Planning for Cloth Folding",
   "zh": "CEM 真值动力学折叠规划",
   "level": "l3"
  },
  "CAP_f15242bc": {
   "en": "Model-Free RL Policy Training",
   "zh": "无模型 RL 折叠策略训练",
   "level": "l3"
  },
  "CAP_97435c43": {
   "en": "Model-Based RL Learned Dynamics",
   "zh": "学习动力学的模型基 RL 折叠",
   "level": "l3"
  },
  "CAP_9281ab58": {
   "en": "Cloth Folding Algorithm Benchmark Evaluation",
   "zh": "布料折叠算法基准评测",
   "level": "l3"
  },
  "CAP_1271d196": {
   "en": "Classical Geometric Cloth Folding Baseline",
   "zh": "经典几何布料折叠基线",
   "level": "l2"
  },
  "CAP_eee6dedc": {
   "en": "Multi-View Geometric Cloth Border Classification",
   "zh": "多视角几何布料边界分类",
   "level": "l3"
  },
  "CAP_5b88d446": {
   "en": "RANSAC Corner Detection for Cloth",
   "zh": "布料角点 RANSAC 检测",
   "level": "l3"
  },
  "CAP_8b5b323f": {
   "en": "Scripted Dual-Arm Towel Folding Execution",
   "zh": "脚本化双臂毛巾折叠执行",
   "level": "l3"
  },
  "CAP_080629c1": {
   "en": "Multi-View Image Acquisition for Cloth Perception",
   "zh": "多视角图像采集用于布料感知",
   "level": "l3"
  },
  "CAP_58400690": {
   "en": "Cloth Folding Baseline Evaluation",
   "zh": "布料折叠基线评测",
   "level": "l3"
  },
  "CAP_f61afbc4": {
   "en": "Koopman-MPC Dynamic Cloth Folding Planning",
   "zh": "Koopman-MPC 动态布料折叠规划",
   "level": "l2"
  },
  "CAP_d3ec0bc0": {
   "en": "Inextensible Cloth Physics Simulator Setup",
   "zh": "不可拉伸布料物理仿真器搭建",
   "level": "l3"
  },
  "CAP_5cd3e397": {
   "en": "Simulated Folding Trajectory Data Collection",
   "zh": "仿真折叠轨迹数据采集",
   "level": "l3"
  },
  "CAP_1846072c": {
   "en": "Koopman Operator Regression Linear Surrogate Learning",
   "zh": "Koopman 算子回归线性代理学习",
   "level": "l3"
  },
  "CAP_2a82edb9": {
   "en": "Constrained Linear MPC Folding Trajectory Planning",
   "zh": "受约束线性 MPC 折叠轨迹规划",
   "level": "l3"
  },
  "CAP_7ef5b752": {
   "en": "Sim Closed-Loop Verification and Real Zero-Shot Deployment",
   "zh": "仿真闭环验证与真机零样本部署",
   "level": "l3"
  },
  "CAP_a86f76a4": {
   "en": "Mesh Dynamics Occlusion-Aware Folding Planning",
   "zh": "Mesh 动力学遮挡感知折叠规划",
   "level": "l2"
  },
  "CAP_887fbcfe": {
   "en": "SoftGym Cloth Simulation Environment Setup",
   "zh": "SoftGym 布料仿真环境搭建",
   "level": "l3"
  },
  "CAP_5cf37f93": {
   "en": "Cloth Mesh Reconstruction with Occlusion Reasoning",
   "zh": "布料 mesh 重建（含遮挡推理）",
   "level": "l3"
  },
  "CAP_256b07c4": {
   "en": "Mesh-Based Learning Dynamics Model Training",
   "zh": "mesh-based 学习动力学模型训练",
   "level": "l3"
  },
  "CAP_9476c687": {
   "en": "Online Mesh Reconstruction and Test-Time Finetuning",
   "zh": "在线 mesh 重建与 test-time finetuning",
   "level": "l3"
  },
  "CAP_dc4b1464": {
   "en": "Mesh Dynamics Rollout Planning and Execution",
   "zh": "mesh 动力学 rollout 规划与执行",
   "level": "l3"
  },
  "CAP_7e984d3d": {
   "en": "Semantic Keypoint LLM Hierarchical Folding Planning",
   "zh": "语义关键点 LLM 层级折叠规划",
   "level": "l2"
  },
  "CAP_4cec3999": {
   "en": "Extended SoftGym Multi-Cloth Task Environment Setup",
   "zh": "扩展 SoftGym 多类型衣物任务环境搭建",
   "level": "l3"
  },
  "CAP_343222b9": {
   "en": "Semantic Keypoint Two-Stage Extraction",
   "zh": "语义关键点两阶段提取",
   "level": "l3"
  },
  "CAP_b5ba4c40": {
   "en": "LLM/VLM Hierarchical Task Planning with Geometric Feasibility",
   "zh": "LLM/VLM 层级任务规划与几何可行性验证",
   "level": "l3"
  },
  "CAP_d119788a": {
   "en": "Keypoint-Conditioned Manipulation Skill Library",
   "zh": "关键点条件操作技能库",
   "level": "l3"
  },
  "CAP_e6d885ba": {
   "en": "Closed-Loop Execution and Replanning",
   "zh": "闭环执行与重规划",
   "level": "l3"
  },
  "CAP_01d53eea": {
   "en": "Multi-View Sequence Perception",
   "zh": "多视角序列感知",
   "level": "l2"
  },
  "CAP_b3bdc1ac": {
   "en": "Corner Detection and Grasp Localization",
   "zh": "角点检测与抓取点定位",
   "level": "l2"
  },
  "CAP_3f56e655": {
   "en": "RGB-D Perception and Cloth Reconstruction",
   "zh": "RGB-D 感知与布料重建",
   "level": "l2"
  },
  "CAP_5566de09": {
   "en": "Hand-Crafted Feature Scoring and Grasp Output",
   "zh": "手工特征评分与抓取输出",
   "level": "l2"
  },
  "CAP_46038e7c": {
   "en": "Depth Acquisition and Structural Segmentation",
   "zh": "深度采集与结构区域分割",
   "level": "l2"
  },
  "CAP_bdd10d1a": {
   "en": "Grasp Parameter Estimation and Execution",
   "zh": "抓取参数估计与执行",
   "level": "l2"
  },
  "CAP_fb0c9f7a": {
   "en": "End-to-End Pick Point Regression",
   "zh": "端到端抓取点回归",
   "level": "l2"
  },
  "CAP_e850948f": {
   "en": "Grasp Execution and Iteration",
   "zh": "抓取执行与迭代评估",
   "level": "l2"
  },
  "CAP_b1474b02": {
   "en": "Image Semantic Segmentation Network",
   "zh": "图像语义分割网络",
   "level": "l3"
  },
  "CAP_d71aa297": {
   "en": "Multi-View Image Sequence Acquisition",
   "zh": "多视角图像序列采集",
   "level": "l3"
  },
  "CAP_ac562483": {
   "en": "Depth Discontinuity Edge Extraction",
   "zh": "深度不连续边缘提取",
   "level": "l3"
  },
  "CAP_771d6128": {
   "en": "Dense Sub-Pixel Optical Flow Tracking",
   "zh": "密集亚像素光流跟踪",
   "level": "l3"
  },
  "CAP_e1e79a35": {
   "en": "Border Curvature Score Accumulation",
   "zh": "边界曲率分数累加",
   "level": "l3"
  },
  "CAP_be634333": {
   "en": "Border Point Threshold Classification",
   "zh": "边界点阈值分类",
   "level": "l3"
  },
  "CAP_2e70e6ee": {
   "en": "RANSAC Corner Fitting",
   "zh": "RANSAC 角点拟合",
   "level": "l3"
  },
  "CAP_d9fd19be": {
   "en": "Stereo Corner 3D Reconstruction",
   "zh": "立体角点三维重建",
   "level": "l3"
  },
  "CAP_87311ba0": {
   "en": "Cloth Foreground Segmentation",
   "zh": "布料前景分割",
   "level": "l3"
  },
  "CAP_03dc1039": {
   "en": "Point Cloud Local Eigenvalue Analysis",
   "zh": "点云局部特征值分析",
   "level": "l3"
  },
  "CAP_33c2aa01": {
   "en": "Candidate Point Scoring and Classification",
   "zh": "候选点评分与分类",
   "level": "l3"
  },
  "CAP_0b09c047": {
   "en": "Grasp Pose Computation from Features",
   "zh": "基于特征的抓取位姿计算",
   "level": "l3"
  },
  "CAP_ac98ad9d": {
   "en": "Segmentation Mask Thresholding",
   "zh": "分割掩码阈值化",
   "level": "l3"
  },
  "CAP_89c4bd2d": {
   "en": "Grasp Direction Estimation",
   "zh": "抓取方向估计",
   "level": "l3"
  },
  "CAP_03a7d8d0": {
   "en": "Grasp Point Selection from Segmentation",
   "zh": "基于分割的抓取点选择",
   "level": "l3"
  },
  "CAP_1a7ae1b3": {
   "en": "Grasp Pose Computation from Mask",
   "zh": "基于掩码的抓取位姿计算",
   "level": "l3"
  },
  "CAP_a82055d5": {
   "en": "Grasp Execution Policy",
   "zh": "抓取执行策略",
   "level": "l3"
  },
  "CAP_8f35f463": {
   "en": "End-to-End Pick Point Regression Network",
   "zh": "端到端抓取点回归网络",
   "level": "l3"
  },
  "CAP_3f5c5fda": {
   "en": "Pixel to 3D Projection",
   "zh": "像素坐标三维投影",
   "level": "l3"
  },
  "CAP_f42ca701": {
   "en": "Pull Direction Computation",
   "zh": "拉扯方向计算",
   "level": "l3"
  },
  "CAP_13796340": {
   "en": "Coverage Evaluation",
   "zh": "覆盖率评估",
   "level": "l3"
  },
  "CAP_2445f664": {
   "en": "PBD Cloth Manipulation Benchmark Setup",
   "zh": "PBD 粒子布料操作基准搭建",
   "level": "l2"
  },
  "CAP_7a937e0d": {
   "en": "PyFlex Compilation and Scene Init",
   "zh": "PyFlex 编译与场景初始化",
   "level": "l3"
  },
  "CAP_cb0b607d": {
   "en": "SoftGym Cloth Scene Config",
   "zh": "SoftGym 布料场景配置",
   "level": "l3"
  },
  "CAP_ab19187e": {
   "en": "Picker Action Tool Config",
   "zh": "Picker 动作工具配置",
   "level": "l3"
  },
  "CAP_772fb534": {
   "en": "SoftGym Cloth Task Env Wrapping",
   "zh": "SoftGym 布料任务环境包装",
   "level": "l3"
  },
  "CAP_e4bfa29f": {
   "en": "SoftGym Observation and RL Eval",
   "zh": "SoftGym 观察采样与 RL 评估",
   "level": "l3"
  },
  "CAP_d84dbc76": {
   "en": "Hybrid Physics Garment Env Setup",
   "zh": "混合物理 Garment 操作环境搭建",
   "level": "l2"
  },
  "CAP_f9c1752e": {
   "en": "IsaacSim SimulationApp Init",
   "zh": "IsaacSim SimulationApp 初始化",
   "level": "l3"
  },
  "CAP_ea8f32f8": {
   "en": "Garment USD and PBD Config",
   "zh": "Garment USD 资产与 PBD 配置",
   "level": "l3"
  },
  "CAP_6b11277b": {
   "en": "FEM Deformable and Robot Control",
   "zh": "FEM 可形变物与机器人控制配置",
   "level": "l3"
  },
  "CAP_eb42bade": {
   "en": "GarmentLab Task Env and Reward",
   "zh": "GarmentLab 任务环境与奖励",
   "level": "l3"
  },
  "CAP_57c9c2a3": {
   "en": "Garment Sim-to-Real and ROS",
   "zh": "Garment Sim-to-Real 与 ROS 集成",
   "level": "l3"
  },
  "CAP_97be1205": {
   "en": "Real-to-Sim Cloth Asset Digitalization",
   "zh": "真实布料资产数字化管线",
   "level": "l2"
  },
  "CAP_ca3b106b": {
   "en": "Real Cloth Object 3D Scanning",
   "zh": "真实布料物体 3D 扫描",
   "level": "l3"
  },
  "CAP_9223f9db": {
   "en": "Cloth Material Parameter Calibration",
   "zh": "布料材料参数标定",
   "level": "l3"
  },
  "CAP_007fa3ce": {
   "en": "Cloth Semantic Annotation and USD Packaging",
   "zh": "布料语义标注与 USD 打包",
   "level": "l3"
  },
  "CAP_de774508": {
   "en": "Cloth Asset Loading and YCB Benchmark",
   "zh": "布料资产装载与 YCB 基准协议",
   "level": "l3"
  },
  "CAP_b5119d6d": {
   "en": "BVH Continuous Self-Collision Detection",
   "zh": "BVH 连续自碰撞检测",
   "level": "l2"
  },
  "CAP_b029a399": {
   "en": "Connectivity-Based Self-Collision Culling",
   "zh": "连接性与法线锥自碰撞剔除",
   "level": "l3"
  },
  "CAP_db7359b4": {
   "en": "Continuous Collision Detection Time-of-Impact",
   "zh": "连续碰撞检测时间撞击求解",
   "level": "l3"
  },
  "CAP_73cee0b3": {
   "en": "Cloth Self-Collision Impulse Response",
   "zh": "布料自碰撞冲量响应",
   "level": "l3"
  },
  "CAP_9036f776": {
   "en": "Discrete Separating Axis & Proximity Test",
   "zh": "离散分离轴与近距离测试",
   "level": "l3"
  },
  "CAP_279c507f": {
   "en": "Pbd Cloth Particle Discretization And Neighbor Search",
   "zh": "PBD 布料粒子化与邻居搜索",
   "level": "l3"
  },
  "CAP_35301d23": {
   "en": "XPBD Compliance Solver",
   "zh": "XPBD 柔度求解器",
   "level": "l3"
  },
  "CAP_33c40a50": {
   "en": "Cloth Virtual Particle Gap Filling",
   "zh": "布料虚拟粒子间隙填充",
   "level": "l3"
  },
  "CAP_ced206c4": {
   "en": "Fabric Smoothing Imitation Learning Pipeline",
   "zh": "准静态模仿学习布料铺展管线",
   "level": "l2"
  },
  "CAP_e59b02f7": {
   "en": "Cloth Algorithmic Supervisor Data Generation",
   "zh": "布料算法监督员数据生成",
   "level": "l3"
  },
  "CAP_86cdbc62": {
   "en": "DAgger Cloth Policy Training",
   "zh": "DAgger 布料策略训练",
   "level": "l3"
  },
  "CAP_c8bf00be": {
   "en": "dVRK Cloth Policy Deployment",
   "zh": "dVRK 布料策略部署",
   "level": "l3"
  },
  "CAP_38745545": {
   "en": "Dynamic Flinging Cloth Unfolding Pipeline",
   "zh": "动态抛展布料铺展管线",
   "level": "l2"
  },
  "CAP_e5abd0e6": {
   "en": "Dual-arm UR5 Fling Deployment",
   "zh": "双臂 UR5 抛展部署",
   "level": "l3"
  },
  "CAP_530519b6": {
   "en": "Particle Dynamics Model Training",
   "zh": "粒子动力学模型训练",
   "level": "l3"
  },
  "CAP_25b1fa67": {
   "en": "Model Predictive Cloth Smoothing Planning",
   "zh": "模型预测布料铺展规划",
   "level": "l3"
  },
  "CAP_6b0ba723": {
   "en": "Mobile Manipulation Cloth Spreading Pipeline",
   "zh": "移动操作布料铺展管线",
   "level": "l2"
  },
  "CAP_4991efb5": {
   "en": "Behavior Tree Arm-Base Coordination",
   "zh": "行为树臂-底盘协调",
   "level": "l3"
  },
  "CAP_b518fa52": {
   "en": "Online Jacobian Cloth Deformation Control",
   "zh": "在线 Jacobian 布料形变控制",
   "level": "l3"
  },
  "CAP_5cb39974": {
   "en": "Large-scale Cloth Spreading Evaluation",
   "zh": "大尺度布料铺展评估",
   "level": "l3"
  },
  "CAP_00c6453c": {
   "en": "Visual State Observation Encoding",
   "zh": "视觉状态观测编码",
   "level": "l3"
  },
  "CAP_75ee4e79": {
   "en": "DiffCP Perception",
   "zh": "DiffCP 感知与投影",
   "level": "l2"
  },
  "CAP_1b333472": {
   "en": "RGB-D Observation Extraction",
   "zh": "RGB-D 观测提取",
   "level": "l3"
  },
  "CAP_d5f5078b": {
   "en": "Real-to-Sim State Projection",
   "zh": "Real-to-Sim 状态投影",
   "level": "l3"
  },
  "CAP_f502461f": {
   "en": "DiffCP Simulation & Parameter Optimization",
   "zh": "DiffCP 仿真与参数优化",
   "level": "l2"
  },
  "CAP_a39a462d": {
   "en": "A-EP Differentiable Cloth Simulation",
   "zh": "A-EP 可微布料仿真",
   "level": "l3"
  },
  "CAP_af6a7254": {
   "en": "Differentiable Geometric Variance Loss",
   "zh": "可微几何方差损失",
   "level": "l3"
  },
  "CAP_01eadbfd": {
   "en": "Gradient-Based Physical Parameter Identification",
   "zh": "梯度物理参数识别",
   "level": "l3"
  },
  "CAP_24aea451": {
   "en": "Cloth State Refinement via Re-simulation",
   "zh": "重仿真布料状态精化",
   "level": "l3"
  },
  "CAP_7a9b3306": {
   "en": "Differentiable Trajectory Generation",
   "zh": "可微轨迹生成",
   "level": "l3"
  },
  "CAP_1a67ceff": {
   "en": "ClothSplatting Perception",
   "zh": "ClothSplatting 感知初始化",
   "level": "l2"
  },
  "CAP_128483e6": {
   "en": "Multi-view RGB Acquisition & Calibration",
   "zh": "多视角 RGB 采集与标定",
   "level": "l3"
  },
  "CAP_5c97da2f": {
   "en": "Cloth Mesh & Gaussian Initialization",
   "zh": "布料 Mesh 与 Gaussian 初始化",
   "level": "l3"
  },
  "CAP_1ecb1907": {
   "en": "Prediction-Update State Estimation Loop",
   "zh": "预测-更新状态估计闭环",
   "level": "l2"
  },
  "CAP_c7e12fd7": {
   "en": "MeshNet GNN Action-Conditioned Dynamics",
   "zh": "MeshNet GNN 动作条件动力学",
   "level": "l3"
  },
  "CAP_e7df8929": {
   "en": "3D Gaussian Splatting Differentiable Rendering",
   "zh": "3D 高斯泼溅可微渲染",
   "level": "l3"
  },
  "CAP_0880b36a": {
   "en": "Photometric Loss & Gradient Computation",
   "zh": "光度损失与梯度计算",
   "level": "l3"
  },
  "CAP_489101c0": {
   "en": "Gradient-Based Cloth State Update",
   "zh": "梯度布料状态更新",
   "level": "l3"
  },
  "CAP_8c984846": {
   "en": "Dense Mesh Tracking (MD-Splatting)",
   "zh": "稠密网格跟踪（MD-Splatting）",
   "level": "l3"
  },
  "CAP_618e6ec2": {
   "en": "UniClothDiff Perception",
   "zh": "UniClothDiff 感知与条件编码",
   "level": "l2"
  },
  "CAP_10cb496b": {
   "en": "Sparse RGB-D Partial Observation Acquisition",
   "zh": "稀疏 RGB-D 部分观测获取",
   "level": "l3"
  },
  "CAP_6b9992f9": {
   "en": "Canonical Cloth Mesh Conditioning",
   "zh": "规范布料网格条件编码",
   "level": "l3"
  },
  "CAP_35c778e2": {
   "en": "UniClothDiff Diffusion Estimation",
   "zh": "UniClothDiff 扩散估计与动力学",
   "level": "l2"
  },
  "CAP_90a58e6b": {
   "en": "Transformer Diffusion State Estimation",
   "zh": "Transformer 扩散状态估计",
   "level": "l3"
  },
  "CAP_4d80eda6": {
   "en": "Action-Conditioned Diffusion Dynamics Prediction",
   "zh": "动作条件扩散动力学预测",
   "level": "l3"
  },
  "CAP_7e541112": {
   "en": "UniClothDiff MPC Execution",
   "zh": "UniClothDiff MPC 优化与执行",
   "level": "l2"
  },
  "CAP_042ea7e0": {
   "en": "Model Predictive Control for Cloth Manipulation",
   "zh": "布料操作模型预测控制",
   "level": "l3"
  },
  "CAP_a90a1995": {
   "en": "Robot Action Execution & State Update",
   "zh": "机器人动作执行与状态更新",
   "level": "l3"
  },
  "CAP_838e3f48": {
   "en": "Long-Horizon Rollout with Error Correction",
   "zh": "长时域推演与误差修正",
   "level": "l3"
  },
  "CAP_5cf090e9": {
   "en": "Lips Synthetic Data",
   "zh": "Lips 合成数据生成",
   "level": "l2"
  },
  "CAP_e6d0f45c": {
   "en": "Procedural Flat Cloth Mesh Generation",
   "zh": "程序化平面布料网格生成",
   "level": "l3"
  },
  "CAP_3c517ef7": {
   "en": "Nvidia Flex Cloth Deformation",
   "zh": "Nvidia Flex 布料变形",
   "level": "l3"
  },
  "CAP_e639349a": {
   "en": "Blender Synthetic Scene Composition & Rendering",
   "zh": "Blender 合成场景构建与渲染",
   "level": "l3"
  },
  "CAP_bb3b9b2a": {
   "en": "Lips Detection Training",
   "zh": "Lips 检测训练与微调",
   "level": "l2"
  },
  "CAP_e38a1782": {
   "en": "2D Keypoint Detection Model Training",
   "zh": "2D 关键点检测模型训练",
   "level": "l3"
  },
  "CAP_73903d42": {
   "en": "Real-World Fine-Tuning via aRTF Clothes",
   "zh": "aRTF Clothes 真实数据微调",
   "level": "l3"
  },
  "CAP_5b61cb43": {
   "en": "Lips Inference Output",
   "zh": "Lips 推理与下游输出",
   "level": "l2"
  },
  "CAP_cbb39dbc": {
   "en": "2D Keypoint Inference & Extraction",
   "zh": "2D 关键点推理与提取",
   "level": "l3"
  },
  "CAP_012f5e84": {
   "en": "Scripted Folding Motion from 2D Keypoints",
   "zh": "基于 2D 关键点的脚本化折叠",
   "level": "l3"
  },
  "CAP_1d0a8d06": {
   "en": "RGB-D Garment Observation Extraction",
   "zh": "RGB-D 布料观测提取",
   "level": "l3"
  },
  "CAP_ff888f83": {
   "en": "GarmentNets Canonical Completion",
   "zh": "GarmentNets Canonical 映射与补全",
   "level": "l2"
  },
  "CAP_8fba0bd6": {
   "en": "PointNet++ Garment Canonicalization",
   "zh": "PointNet++ 布料规范化",
   "level": "l3"
  },
  "CAP_b278a8a9": {
   "en": "Canonical Space Shape Completion",
   "zh": "规范空间形状补全",
   "level": "l3"
  },
  "CAP_2943ff11": {
   "en": "GarmentNets Winding Warp Output",
   "zh": "GarmentNets Winding Warp 输出",
   "level": "l2"
  },
  "CAP_626a1046": {
   "en": "Generalized Winding Number Field Prediction",
   "zh": "广义缠绕数场预测",
   "level": "l3"
  },
  "CAP_a41cd65e": {
   "en": "Warp Field Prediction",
   "zh": "形变场预测",
   "level": "l3"
  },
  "CAP_71d54403": {
   "en": "Per-Vertex 3D Location Output via Warp Application",
   "zh": "形变应用逐顶点 3D 定位输出",
   "level": "l3"
  },
  "CAP_fb6bbb3d": {
   "en": "Category-Level Garment Pose Evaluation",
   "zh": "类别级布料位姿评测",
   "level": "l3"
  },
  "CAP_551d72a6": {
   "en": "Cloud API Gateway Authentication and Authorization",
   "zh": "云端API网关认证授权",
   "level": "l2"
  },
  "CAP_8c30d654": {
   "en": "API Identity Verification",
   "zh": "API身份验证",
   "level": "l2"
  },
  "CAP_79ebe5ba": {
   "en": "Policy-Based Authorization",
   "zh": "基于策略的授权",
   "level": "l2"
  },
  "CAP_3e96fbbf": {
   "en": "Inbound Credential Extraction",
   "zh": "入站凭证提取",
   "level": "l3"
  },
  "CAP_1db5be05": {
   "en": "JWT Signature Verification",
   "zh": "JWT签名验证",
   "level": "l3"
  },
  "CAP_59accfe2": {
   "en": "Claims and Revocation Check",
   "zh": "声明与吊销检查",
   "level": "l3"
  },
  "CAP_d4f521c2": {
   "en": "OPA Input Construction",
   "zh": "OPA输入构造",
   "level": "l3"
  },
  "CAP_d778a22e": {
   "en": "Rego Policy Evaluation",
   "zh": "Rego策略评估",
   "level": "l3"
  },
  "CAP_43e6ec71": {
   "en": "Authorization Decision Enforcement",
   "zh": "授权决策执行",
   "level": "l3"
  },
  "CAP_93a2236a": {
   "en": "API Rate Limiting and Traffic Governance",
   "zh": "API限流与流量治理",
   "level": "l2"
  },
  "CAP_bdc2094f": {
   "en": "Token Bucket Quota Control",
   "zh": "令牌桶配额控制",
   "level": "l2"
  },
  "CAP_228053cd": {
   "en": "WAF Traffic Governance",
   "zh": "WAF流量治理",
   "level": "l2"
  },
  "CAP_0a9ba856": {
   "en": "Limit Enforcement and Observability",
   "zh": "限流执行与可观测",
   "level": "l2"
  },
  "CAP_0c8056b6": {
   "en": "Traffic Identification and Key Extraction",
   "zh": "流量识别与键提取",
   "level": "l3"
  },
  "CAP_91e06375": {
   "en": "Rate Limit Key Construction",
   "zh": "限流键构造",
   "level": "l3"
  },
  "CAP_7734582d": {
   "en": "Redis Quota Query",
   "zh": "Redis配额查询",
   "level": "l3"
  },
  "CAP_a5b45c15": {
   "en": "Token Bucket Algorithm",
   "zh": "令牌桶算法",
   "level": "l3"
  },
  "CAP_c1c8036c": {
   "en": "WAF Rule Matching",
   "zh": "WAF规则匹配",
   "level": "l3"
  },
  "CAP_bfe6a160": {
   "en": "Rate Limit Decision",
   "zh": "限流决策",
   "level": "l3"
  },
  "CAP_02ef354c": {
   "en": "Counter Write-back",
   "zh": "计数器回写",
   "level": "l3"
  },
  "CAP_a200e0f4": {
   "en": "Limit Observability Export",
   "zh": "限流可观测导出",
   "level": "l3"
  },
  "CAP_46e7f815": {
   "en": "API Input Validation and Sanitization",
   "zh": "API输入校验与净化",
   "level": "l2"
  },
  "CAP_758aa566": {
   "en": "WAF Semantic Sanitization",
   "zh": "WAF语义净化",
   "level": "l2"
  },
  "CAP_7f3e47e3": {
   "en": "Validation Decision Enforcement",
   "zh": "校验决策执行",
   "level": "l2"
  },
  "CAP_1deabcae": {
   "en": "OpenAPI Schema Fetch and Parse",
   "zh": "OpenAPI Schema拉取与解析",
   "level": "l3"
  },
  "CAP_59936400": {
   "en": "Request Body Deserialization",
   "zh": "请求体反序列化",
   "level": "l3"
  },
  "CAP_981021a9": {
   "en": "Type Coercion and Format Check",
   "zh": "类型强转与格式检查",
   "level": "l3"
  },
  "CAP_a6efa79b": {
   "en": "SQLi XSS Detection",
   "zh": "SQL注入与XSS检测",
   "level": "l3"
  },
  "CAP_cdb27a39": {
   "en": "Request Sanitization",
   "zh": "请求净化",
   "level": "l3"
  },
  "CAP_115ea368": {
   "en": "Validation Decision Action",
   "zh": "校验决策执行动作",
   "level": "l3"
  },
  "CAP_f144de21": {
   "en": "Validation Audit Event",
   "zh": "校验审计事件",
   "level": "l3"
  },
  "CAP_0c03e50e": {
   "en": "Fleet Telemetry Streaming Pipeline",
   "zh": "机群遥测流式汇聚管道",
   "level": "l2"
  },
  "CAP_1aece045": {
   "en": "OTel SDK Edge Instrumentation",
   "zh": "OTel SDK 端侧插桩",
   "level": "l3"
  },
  "CAP_e3da9bbf": {
   "en": "OTel Processor Pipeline Tuning",
   "zh": "OTel 处理器链调优",
   "level": "l3"
  },
  "CAP_5b44a12e": {
   "en": "Kafka Telemetry Bus Export",
   "zh": "Kafka 遥测总线写入",
   "level": "l3"
  },
  "CAP_14ebbee0": {
   "en": "Tempo Trace Backend Write",
   "zh": "Tempo 追踪后端写入",
   "level": "l3"
  },
  "CAP_76f86d23": {
   "en": "Mimir Metrics Backend Write",
   "zh": "Mimir 指标后端写入",
   "level": "l3"
  },
  "CAP_6877241a": {
   "en": "Grafana Dashboard Visualization",
   "zh": "Grafana 仪表盘可视化",
   "level": "l3"
  },
  "CAP_9b35d282": {
   "en": "Robot Learning Data Curation Pipeline",
   "zh": "机器人学习数据集策展管道",
   "level": "l2"
  },
  "CAP_a5d38328": {
   "en": "Teleoperation Episode Recording",
   "zh": "遥操作 episode 录制",
   "level": "l3"
  },
  "CAP_d45b3075": {
   "en": "LeRobotDataset Construction",
   "zh": "LeRobotDataset 构建",
   "level": "l3"
  },
  "CAP_05792d64": {
   "en": "HuggingFace Hub Push to Hub",
   "zh": "HuggingFace Hub 推送发布",
   "level": "l3"
  },
  "CAP_642a6f88": {
   "en": "Cross-Org Dataset Aggregation",
   "zh": "跨机构数据集聚合",
   "level": "l3"
  },
  "CAP_5364c32b": {
   "en": "Robot Demo Loading",
   "zh": "机器人演示数据加载",
   "level": "l3"
  },
  "CAP_10701e80": {
   "en": "Multimodal Robot Recording Pipeline",
   "zh": "多模态机器人记录云端汇聚管道",
   "level": "l2"
  },
  "CAP_94f14821": {
   "en": "Rerun SDK Multimodal Logging",
   "zh": "Rerun SDK 多模态日志记录",
   "level": "l3"
  },
  "CAP_03e55c61": {
   "en": "Foxglove Schema Serialization",
   "zh": "Foxglove Schema 序列化",
   "level": "l3"
  },
  "CAP_38ea9ec9": {
   "en": "Cloud Object Storage Multipart Upload",
   "zh": "云端对象存储分片上传",
   "level": "l3"
  },
  "CAP_34d195c3": {
   "en": "Recording File Indexing and Metadata",
   "zh": "记录文件索引与元数据注册",
   "level": "l3"
  },
  "CAP_2044c464": {
   "en": "MCAP Rerun Cloud Streaming Replay",
   "zh": "MCAP Rerun 云端流式回放",
   "level": "l3"
  },
  "CAP_685b0ebd": {
   "en": "Multimodal Synchronized Visualization",
   "zh": "多模态同步可视化",
   "level": "l3"
  },
  "CAP_7b224c02": {
   "en": "Topic TimeRange Index Query",
   "zh": "Topic 时间范围索引查询",
   "level": "l3"
  },
  "CAP_d9ba18b9": {
   "en": "Episode Extraction and Conversion",
   "zh": "Episode 提取与格式转换",
   "level": "l3"
  },
  "CAP_728769c3": {
   "en": "KubeEdge Cloud Control Plane Deployment",
   "zh": "KubeEdge 云端控制面部署",
   "level": "l2"
  },
  "CAP_5c182119": {
   "en": "CloudHub WebSocket Channel",
   "zh": "CloudHub WebSocket 通道",
   "level": "l3"
  },
  "CAP_4be63010": {
   "en": "EdgeHub Outbound Connection",
   "zh": "EdgeHub 出站连接",
   "level": "l3"
  },
  "CAP_e343f398": {
   "en": "KubeEdge Cloud-Edge Metadata and Device Sync",
   "zh": "KubeEdge 云边元数据与设备同步",
   "level": "l2"
  },
  "CAP_6c1ce08d": {
   "en": "MetaManager SQLite Persistence",
   "zh": "MetaManager SQLite 持久化",
   "level": "l3"
  },
  "CAP_29a30805": {
   "en": "DeviceTwin Three-State Sync",
   "zh": "DeviceTwin 三态设备同步",
   "level": "l3"
  },
  "CAP_6ec44ba0": {
   "en": "KubeEdge Workload Orchestration and Edge Autonomy",
   "zh": "KubeEdge 工作负载编排与边缘自治",
   "level": "l2"
  },
  "CAP_66ed5a92": {
   "en": "EdgeMesh East-West Service Discovery",
   "zh": "EdgeMesh 东西向服务发现",
   "level": "l3"
  },
  "CAP_6c115b35": {
   "en": "K8s Scheduler Edge Pod Dispatch",
   "zh": "K8s 调度器边缘 Pod 派发",
   "level": "l3"
  },
  "CAP_23dcb863": {
   "en": "OpenYurt Control Plane Deployment",
   "zh": "OpenYurt 控制面部署",
   "level": "l2"
  },
  "CAP_49d4fab0": {
   "en": "YurtManager Deployment",
   "zh": "YurtManager 部署",
   "level": "l3"
  },
  "CAP_62b0d45f": {
   "en": "YurtHub Edge Mode Proxy",
   "zh": "YurtHub 边缘模式代理",
   "level": "l3"
  },
  "CAP_71c79633": {
   "en": "OpenYurt Metadata Cache and Edge Autonomy",
   "zh": "OpenYurt 元数据缓存与边缘自治",
   "level": "l2"
  },
  "CAP_ea57a757": {
   "en": "YurtHub Disk Metadata Cache",
   "zh": "YurtHub 磁盘元数据缓存",
   "level": "l3"
  },
  "CAP_387da151": {
   "en": "YurtHub Local Proxy on Network Partition",
   "zh": "YurtHub 断网本地代理",
   "level": "l3"
  },
  "CAP_72bf5d43": {
   "en": "OpenYurt NodePool Unitization and Cross-Network",
   "zh": "OpenYurt 节点池单元化与跨网通信",
   "level": "l2"
  },
  "CAP_d9f87bd1": {
   "en": "NodePool and YurtAppSet Orchestration",
   "zh": "NodePool 与 YurtAppSet 编排",
   "level": "l3"
  },
  "CAP_0b213994": {
   "en": "YurtTunnel and Raven Cross-Network",
   "zh": "YurtTunnel 与 Raven 跨网通信",
   "level": "l3"
  },
  "CAP_23c278a0": {
   "en": "FogROS2 Launch and Cloud Instance Provisioning",
   "zh": "FogROS2 Launch 与云实例 Provisioning",
   "level": "l2"
  },
  "CAP_747fd239": {
   "en": "FogROS2 CloudNode Launch Declaration",
   "zh": "FogROS2 CloudNode Launch 声明",
   "level": "l3"
  },
  "CAP_9951dd7e": {
   "en": "FogROS2 AWS EC2 and K8s Provisioning",
   "zh": "FogROS2 AWS EC2 与 K8s Provisioning",
   "level": "l3"
  },
  "CAP_b16e97f4": {
   "en": "FogROS2 VPN and DDS Peering",
   "zh": "FogROS2 VPN 与 DDS 对等发现",
   "level": "l2"
  },
  "CAP_8866213f": {
   "en": "FogROS2 WireGuard VPN Setup",
   "zh": "FogROS2 WireGuard VPN 隧道",
   "level": "l3"
  },
  "CAP_ed385e1a": {
   "en": "FogROS2 CycloneDDS Cross-Network Peering",
   "zh": "FogROS2 CycloneDDS 跨网 Peering",
   "level": "l3"
  },
  "CAP_8384a915": {
   "en": "FogROS2 Compute Graph Placement and Monitoring",
   "zh": "FogROS2 计算图放置与监控",
   "level": "l2"
  },
  "CAP_5efb0279": {
   "en": "FogROS2 Image Transport H264 Streaming",
   "zh": "FogROS2 图像传输 H264 流压缩",
   "level": "l3"
  },
  "CAP_8535533f": {
   "en": "FogROS2 Node Launch and Foxglove Monitoring",
   "zh": "FogROS2 节点启动与 Foxglove 监控",
   "level": "l3"
  },
  "CAP_24cd9d3e": {
   "en": "Stateless Robot Service Design",
   "zh": "无状态机器人服务设计",
   "level": "l1"
  },
  "CAP_431e6c20": {
   "en": "State Inventory Audit",
   "zh": "状态清单审计",
   "level": "l3"
  },
  "CAP_b3fad52f": {
   "en": "Backing Service Externalization",
   "zh": "后端服务外置化",
   "level": "l3"
  },
  "CAP_a874cc3e": {
   "en": "Config Environment Separation",
   "zh": "配置与环境分离",
   "level": "l2"
  },
  "CAP_52f1da4d": {
   "en": "K8s Stateless Deployment Orchestration",
   "zh": "K8s 无状态部署编排",
   "level": "l3"
  },
  "CAP_bf89d470": {
   "en": "Redis State Externalization",
   "zh": "Redis 状态外置化",
   "level": "l2"
  },
  "CAP_e64123d6": {
   "en": "State Access Interface Design",
   "zh": "状态访问接口设计",
   "level": "l3"
  },
  "CAP_0cccad0b": {
   "en": "Stateless Process Implementation",
   "zh": "无状态进程实现",
   "level": "l3"
  },
  "CAP_ad10ecdf": {
   "en": "Request Scoped Cache Manager",
   "zh": "请求作用域缓存管理器",
   "level": "l3"
  },
  "CAP_99cd346a": {
   "en": "Health Check Endpoint",
   "zh": "健康检查端点",
   "level": "l3"
  },
  "CAP_68724b3e": {
   "en": "Containerize Service",
   "zh": "容器化服务",
   "level": "l3"
  },
  "CAP_4c6884c8": {
   "en": "Rolling Update Verification",
   "zh": "滚动更新验证",
   "level": "l3"
  },
  "CAP_d21005d7": {
   "en": "Elastic Autoscaling",
   "zh": "弹性水平伸缩设计",
   "level": "l2"
  },
  "CAP_5345b4df": {
   "en": "K8s HPA Autoscaling",
   "zh": "K8s HPA 水平自动伸缩配置",
   "level": "l3"
  },
  "CAP_639447aa": {
   "en": "KEDA Event-Driven Scaling",
   "zh": "KEDA 事件驱动伸缩与 Scale-to-Zero",
   "level": "l3"
  },
  "CAP_0a8cfdc3": {
   "en": "Custom Metrics Pipeline",
   "zh": "自定义指标采集管道",
   "level": "l3"
  },
  "CAP_1198c182": {
   "en": "Cluster Autoscaler Node Scaling",
   "zh": "节点级弹性扩容",
   "level": "l3"
  },
  "CAP_f18f88e2": {
   "en": "Fleet SLO Definition",
   "zh": "机群 SLO 定义",
   "level": "l3"
  },
  "CAP_8ca3f52f": {
   "en": "HPA Control Loop",
   "zh": "HPA控制回路",
   "level": "l2"
  },
  "CAP_50ef9df6": {
   "en": "Metrics Collection",
   "zh": "指标采集",
   "level": "l3"
  },
  "CAP_c1febb04": {
   "en": "HPA Decision Algorithm",
   "zh": "HPA伸缩决策算法",
   "level": "l3"
  },
  "CAP_41a2f988": {
   "en": "Scaling Execution",
   "zh": "伸缩执行",
   "level": "l2"
  },
  "CAP_00e8b7a7": {
   "en": "Deployment Scaling",
   "zh": "Deployment副本伸缩",
   "level": "l3"
  },
  "CAP_197e002f": {
   "en": "Readiness Verification",
   "zh": "就绪验证",
   "level": "l2"
  },
  "CAP_0b124a84": {
   "en": "Readiness Probe",
   "zh": "就绪探针检查",
   "level": "l3"
  },
  "CAP_755398b1": {
   "en": "Disposability & Graceful Lifecycle",
   "zh": "易处理性与优雅生命周期设计",
   "level": "l2"
  },
  "CAP_36005e3f": {
   "en": "Fast Startup Design",
   "zh": "快速启动设计",
   "level": "l3"
  },
  "CAP_7ec23ede": {
   "en": "Graceful Shutdown",
   "zh": "优雅关闭设计",
   "level": "l3"
  },
  "CAP_f7bb2ea4": {
   "en": "Crash Recovery",
   "zh": "崩溃恢复设计",
   "level": "l3"
  },
  "CAP_37824a00": {
   "en": "Health Probe Endpoints",
   "zh": "健康检查探针端点",
   "level": "l3"
  },
  "CAP_1c30f367": {
   "en": "Disposability & Graceful Shutdown",
   "zh": "易处理性与优雅关闭",
   "level": "l2"
  },
  "CAP_965b5169": {
   "en": "Resilience Design for Failure",
   "zh": "面向故障的韧性设计",
   "level": "l2"
  },
  "CAP_25d59407": {
   "en": "Bulkhead Resource Isolation",
   "zh": "舱壁资源隔离",
   "level": "l3"
  },
  "CAP_2e17ad55": {
   "en": "Robot Node Metrics Exposure",
   "zh": "机器人节点指标暴露",
   "level": "l3"
  },
  "CAP_0fbac55c": {
   "en": "ROS2 Diagnostics Prometheus Bridge",
   "zh": "ROS2 诊断转 Prometheus 桥",
   "level": "l3"
  },
  "CAP_358d0281f0": {
   "en": "Prometheus TSDB Storage",
   "zh": "Prometheus TSDB 时序存储",
   "level": "l3"
  },
  "CAP_63d9ee4f": {
   "en": "PromQL Query Language",
   "zh": "PromQL 查询语言",
   "level": "l3"
  },
  "CAP_5c38764a": {
   "en": "Prometheus Metrics Scraping",
   "zh": "Prometheus 指标采集",
   "level": "l3"
  },
  "CAP_7da3ceea": {
   "en": "LogQL Query Language",
   "zh": "LogQL 查询语言",
   "level": "l3"
  },
  "CAP_ddeeb74b": {
   "en": "Alloy Discovery & Pipeline Stages",
   "zh": "Alloy 发现与 Pipeline 阶段",
   "level": "l3"
  },
  "CAP_a13275b3": {
   "en": "Loki Label Pipeline",
   "zh": "Loki 标签流水线（L2 伞形）",
   "level": "l2"
  },
  "CAP_ce413e31": {
   "en": "Loki Stream Ingestion",
   "zh": "Loki 流接收",
   "level": "l3"
  },
  "CAP_5021f99d": {
   "en": "Loki Chunk Store & Index",
   "zh": "Loki Chunk 存储与索引",
   "level": "l3"
  },
  "CAP_b2460eae": {
   "en": "W3C Trace Context Cross-Node Propagation",
   "zh": "W3C 追踪上下文跨节点传播",
   "level": "l3"
  },
  "CAP_9914c135": {
   "en": "Tempo Trace Storage & Query",
   "zh": "Tempo 追踪存储与查询",
   "level": "l3"
  },
  "CAP_0a7f79b5": {
   "en": "Distributed Tracing and Lineage Monitoring",
   "zh": "分布式追踪与血缘监控（L2 伞形）",
   "level": "l2"
  },
  "CAP_45091619": {
   "en": "Tracing Backend Query",
   "zh": "追踪后端查询",
   "level": "l3"
  },
  "CAP_75b1c8dc": {
   "en": "Kube-Prometheus-Stack Helm Deploy",
   "zh": "kube-prometheus-stack Helm 部署",
   "level": "l3"
  },
  "CAP_e7c34acc": {
   "en": "ServiceMonitor and PodMonitor CRD",
   "zh": "ServiceMonitor 与 PodMonitor CRD",
   "level": "l3"
  },
  "CAP_832098f1": {
   "en": "Prometheus Operator Reconcile",
   "zh": "Prometheus Operator 协调循环",
   "level": "l3"
  },
  "CAP_a3810a50": {
   "en": "PrometheusRule CRD Config",
   "zh": "PrometheusRule CRD 配置",
   "level": "l3"
  },
  "CAP_e45b214c": {
   "en": "AlertmanagerConfig CRD Config",
   "zh": "AlertmanagerConfig CRD 配置",
   "level": "l3"
  },
  "CAP_3dd99c77": {
   "en": "Lyapunov-guided Dynamic Offload Decision",
   "zh": "Lyapunov 在线优化动态卸载决策",
   "level": "l2"
  },
  "CAP_6a23e9c4": {
   "en": "Task Queue and Energy State Monitoring",
   "zh": "任务队列与能量状态监控",
   "level": "l3"
  },
  "CAP_5a5cb79b": {
   "en": "Wireless Channel Gain Estimation",
   "zh": "无线信道增益估计",
   "level": "l3"
  },
  "CAP_9c9ca254": {
   "en": "Lyapunov Virtual Queue and DPP Construction",
   "zh": "Lyapunov 虚拟队列与 DPP 构造",
   "level": "l3"
  },
  "CAP_79a56d03": {
   "en": "Per-Slot Convex Offload Subproblem Solve",
   "zh": "逐时隙凸卸载子问题求解",
   "level": "l3"
  },
  "CAP_7b00f014": {
   "en": "Offload Execution and Queue Update",
   "zh": "卸载执行与队列更新",
   "level": "l3"
  },
  "CAP_e77b6c9b": {
   "en": "DROO Deep Reinforcement Learning Online Offloading",
   "zh": "DROO 深度强化学习在线卸载决策",
   "level": "l2"
  },
  "CAP_e13de7ed": {
   "en": "Wireless Channel State Observation",
   "zh": "无线信道状态观测",
   "level": "l3"
  },
  "CAP_81835d9d": {
   "en": "DNN Relaxed Action Inference",
   "zh": "DNN 松弛动作推理",
   "level": "l3"
  },
  "CAP_a95b8e72": {
   "en": "Order-Preserving Quantization",
   "zh": "保序量化",
   "level": "l3"
  },
  "CAP_32cd5482": {
   "en": "Exhaustive Candidate Selection",
   "zh": "穷举候选选择",
   "level": "l3"
  },
  "CAP_197023c1": {
   "en": "LyDROO Lyapunov-guided Hybrid DRL Offloading",
   "zh": "LyDROO Lyapunov 引导混合 DRL 卸载决策",
   "level": "l2"
  },
  "CAP_a97189d6": {
   "en": "Multi-Slot State Observation",
   "zh": "多时隙状态观测",
   "level": "l3"
  },
  "CAP_7f6b0b9f": {
   "en": "Lyapunov Multi-Slot Decomposition",
   "zh": "Lyapunov 多时隙解耦",
   "level": "l3"
  },
  "CAP_d9c3db1b": {
   "en": "DROO Per-Frame Subproblem Solve",
   "zh": "DROO 逐帧子问题求解",
   "level": "l3"
  },
  "CAP_d2bbb85e": {
   "en": "Queue Stability Monitor",
   "zh": "队列稳定性监控",
   "level": "l3"
  },
  "CAP_9bd90a51": {
   "en": "Game-Theoretic Multi-User Offload Decision",
   "zh": "博弈论多用户卸载决策",
   "level": "l2"
  },
  "CAP_4c3a4fe6": {
   "en": "Multi-User Cost Model",
   "zh": "多用户成本模型",
   "level": "l3"
  },
  "CAP_a149e5ba": {
   "en": "Potential Game Formulation",
   "zh": "势能博弈形式化",
   "level": "l3"
  },
  "CAP_54aca288": {
   "en": "Distributed Best Response Iteration",
   "zh": "分布式最佳响应迭代",
   "level": "l3"
  },
  "CAP_8ef1a869": {
   "en": "Cloud-Managed Parallel Simulation Job Pipeline",
   "zh": "云托管并行仿真作业管线",
   "level": "l2"
  },
  "CAP_edde3536": {
   "en": "Robot Application Cloud Bundle Registration",
   "zh": "机器人应用云端打包注册",
   "level": "l3"
  },
  "CAP_726d125e": {
   "en": "Simulation Application Cloud Bundle Registration",
   "zh": "仿真应用云端打包注册",
   "level": "l3"
  },
  "CAP_e5e8e641": {
   "en": "WorldForge Template Batch World Generation",
   "zh": "WorldForge 模板化批量世界生成",
   "level": "l3"
  },
  "CAP_1402971e": {
   "en": "Parallel SimulationJob Dispatch",
   "zh": "并行 SimulationJob 一键分发",
   "level": "l3"
  },
  "CAP_211f8193": {
   "en": "Elastic Resource Scheduling and Recycle",
   "zh": "弹性资源调度与回收",
   "level": "l3"
  },
  "CAP_4666b9f0": {
   "en": "Job Status Aggregation and Result Collection",
   "zh": "作业状态聚合与结果收集",
   "level": "l3"
  },
  "CAP_98082652": {
   "en": "CICD Pipeline Integration Regression",
   "zh": "CI/CD 集成回归",
   "level": "l3"
  },
  "CAP_4a77a4cd": {
   "en": "Cloud-Autoscaled RL Rollout Worker Fleet",
   "zh": "云弹性 RL rollout worker 集群",
   "level": "l2"
  },
  "CAP_2648e9b9": {
   "en": "Ray Cluster Cloud Declaration and Launch",
   "zh": "云上 Ray cluster 声明与启动",
   "level": "l3"
  },
  "CAP_29c0d061": {
   "en": "RLlib AlgorithmConfig and EnvRunner Topology",
   "zh": "RLlib AlgorithmConfig 与 EnvRunner 拓扑声明",
   "level": "l3"
  },
  "CAP_1167799f": {
   "en": "Training Script Submission to Cloud Cluster",
   "zh": "训练脚本提交与 cluster 接入",
   "level": "l3"
  },
  "CAP_0bd2ebce": {
   "en": "Autoscaler Pending-Driven Worker Scaling",
   "zh": "Autoscaler 按训练 pending 主动扩缩 worker",
   "level": "l3"
  },
  "CAP_ece38f62": {
   "en": "EnvRunner Embedded Simulation and Sample Flow",
   "zh": "EnvRunner 内嵌仿真环境与样本流",
   "level": "l3"
  },
  "CAP_d021d610": {
   "en": "Checkpoint and Metrics to Cloud Storage",
   "zh": "Checkpoint 与指标落云存储",
   "level": "l3"
  },
  "CAP_1bf46f7b": {
   "en": "Fault Tolerance and Elastic Recovery",
   "zh": "故障容忍与弹性恢复",
   "level": "l3"
  },
  "CAP_2203c331": {
   "en": "Cloud-Streamed High-Fidelity Simulation Instance Pipeline",
   "zh": "云流式高保真仿真实例管线",
   "level": "l2"
  },
  "CAP_476f5f09": {
   "en": "Cloud GPU Instance Provisioning",
   "zh": "云 GPU 实例按需配给",
   "level": "l3"
  },
  "CAP_0461023d": {
   "en": "Isaac Sim Container Deployment",
   "zh": "Isaac Sim 容器化部署",
   "level": "l3"
  },
  "CAP_803fcd8b": {
   "en": "WebRTC Streaming Channel Setup",
   "zh": "WebRTC 流送通道搭建",
   "level": "l3"
  },
  "CAP_fcc1402a": {
   "en": "Multi-Instance Parallel Session Management",
   "zh": "多实例并行会话管理",
   "level": "l3"
  },
  "CAP_f2273896": {
   "en": "Omniverse Cloud SaaS Managed Streaming",
   "zh": "Omniverse Cloud SaaS 托管流送",
   "level": "l3"
  },
  "CAP_acf22d83": {
   "en": "USD Asset Cloud Cache and Collaboration",
   "zh": "USD 资产云端缓存与协作",
   "level": "l3"
  },
  "CAP_b903f295": {
   "en": "Session-Level Elastic Scaling",
   "zh": "会话级弹性扩缩",
   "level": "l3"
  },
  "CAP_c68f20d3": {
   "en": "Cross-Robot Landmark Alignment and Sim3 Estimation",
   "zh": "跨机器人 landmark 对齐与 Sim3 估计",
   "level": "l3"
  },
  "CAP_fa11402a": {
   "en": "Optimized Pose Feedback to Agents",
   "zh": "优化位姿回传 agent",
   "level": "l3"
  },
  "CAP_a97caaa8": {
   "en": "Inter-Robot LiDAR Loop Closure Detection",
   "zh": "机间闭环检测（LiDAR FPFH + Scan Context）",
   "level": "l3"
  },
  "CAP_993a87b4": {
   "en": "Multi-Session Visual-Inertial Map Merging",
   "zh": "多会话视觉惯性地图合并",
   "level": "l2"
  },
  "CAP_00d5b1db": {
   "en": "Multi-ViMap Centralized Ingestion",
   "zh": "多 ViMap 中心归集",
   "level": "l3"
  },
  "CAP_7e9e10f1": {
   "en": "Multi-Session Global Visual-Inertial BA",
   "zh": "多会话全局视觉惯性 BA",
   "level": "l3"
  },
  "CAP_36d9738d": {
   "en": "Unified ViMap Output and Localization Interface",
   "zh": "统一 ViMap 输出与下游定位接口",
   "level": "l3"
  },
  "CAP_b2d1b002": {
   "en": "Coalition Value Function Encoding",
   "zh": "联盟价值函数编码",
   "level": "l3"
  },
  "CAP_c3e2c003": {
   "en": "Anytime Coalition Structure Search",
   "zh": "任意时刻联盟结构搜索",
   "level": "l2"
  },
  "CAP_d4f3d004": {
   "en": "Integer Partition CSG Search",
   "zh": "整数划分联盟结构搜索",
   "level": "l3"
  },
  "CAP_e5a4e005": {
   "en": "Anytime Bound Refinement",
   "zh": "任意时刻界限收窄",
   "level": "l3"
  },
  "CAP_a7c6a007": {
   "en": "Binary Coalition Structure Decoding",
   "zh": "二进制联盟结构解码",
   "level": "l3"
  },
  "CAP_b8d7b008": {
   "en": "Local Bid Computation",
   "zh": "本地出价计算",
   "level": "l3"
  },
  "CAP_958a9abb": {
   "en": "RL Coalition Formation Policy",
   "zh": "强化学习联盟形成策略",
   "level": "l2"
  },
  "CAP_e1a0e011": {
   "en": "Coalition MDP Environment Modeling",
   "zh": "联盟 MDP 环境建模",
   "level": "l3"
  },
  "CAP_f2b1f012": {
   "en": "Attention Policy Network Training",
   "zh": "注意力策略网络训练",
   "level": "l3"
  },
  "CAP_b4d3b014": {
   "en": "Coalition Optimality Gap Evaluation",
   "zh": "联盟最优性差距评估",
   "level": "l3"
  },
  "CAP_e5a2dc07": {
   "en": "AN/ANB/ANBD Coded Processing",
   "zh": "AN/ANB/ANBD 算术码编码处理",
   "level": "l2"
  },
  "CAP_ab8fe15d": {
   "en": "Arithmetic Code Operand Encoding",
   "zh": "算术码操作数编码",
   "level": "l3"
  },
  "CAP_f6fbc17c": {
   "en": "Coded Value Arithmetic Operation",
   "zh": "编码值算术运算",
   "level": "l3"
  },
  "CAP_d5570a09": {
   "en": "Code Invariant Online Check",
   "zh": "码字不变量在线检查",
   "level": "l3"
  },
  "CAP_f4e767e1": {
   "en": "AN Code Processing Fault Response",
   "zh": "AN 码编码处理故障响应与安全状态",
   "level": "l3"
  },
  "CAP_7c6e0fb9": {
   "en": "Interval-Arithmetic Diverse Shadow Computation",
   "zh": "区间算术多样性阴影计算",
   "level": "l2"
  },
  "CAP_689aeb91": {
   "en": "Interval Parameter Storage Encoding Protection",
   "zh": "区间参数存储编码保护",
   "level": "l3"
  },
  "CAP_516dad8f": {
   "en": "Compiler Interval Shadow Generation",
   "zh": "编译器区间阴影生成",
   "level": "l3"
  },
  "CAP_e464a327": {
   "en": "FPU Periodic Self-Test",
   "zh": "浮点单元周期性自检",
   "level": "l3"
  },
  "CAP_b5c4c0e1": {
   "en": "Interval Consistency Fault Response F-STOP",
   "zh": "区间一致性故障响应 F-STOP",
   "level": "l3"
  },
  "CAP_5b66b58e": {
   "en": "Signature and Checksum Coded Runtime Integrity Processing",
   "zh": "签名/校验和编码运行时完整性处理",
   "level": "l2"
  },
  "CAP_0a845bc5": {
   "en": "Program Code Full Signature",
   "zh": "程序代码全面签名",
   "level": "l3"
  },
  "CAP_857f38eb": {
   "en": "Critical Variable Redundant Encoding",
   "zh": "关键变量反码存储与冗余编码",
   "level": "l3"
  },
  "CAP_555fc91c": {
   "en": "Periodic Runtime Signature Recalculation",
   "zh": "运行时周期性签名重算与比对",
   "level": "l3"
  },
  "CAP_3a93d1e4": {
   "en": "Differentiated Signature Tool Self-Protection",
   "zh": "差异化签名工具自保护",
   "level": "l3"
  },
  "CAP_3a9f931c": {
   "en": "Switching Value Code Redundancy Check",
   "zh": "开关量码位冗余校验",
   "level": "l3"
  },
  "CAP_e5b1ff73": {
   "en": "Compiler-Level Instruction Duplication Processing",
   "zh": "编译器级指令复制处理",
   "level": "l2"
  },
  "CAP_214bed44": {
   "en": "Dual Instruction Execution",
   "zh": "双路执行",
   "level": "l3"
  },
  "CAP_5b7f6947": {
   "en": "Store and Compare Detection",
   "zh": "存储并比较检测",
   "level": "l3"
  },
  "CAP_d12a6ca0": {
   "en": "Comparison Point Protection",
   "zh": "比较点保护",
   "level": "l3"
  },
  "CAP_fb5ebd58": {
   "en": "ILP Optimization Scheduling",
   "zh": "ILP 优化调度",
   "level": "l3"
  },
  "CAP_ae51335b": {
   "en": "Soft Error Fault Response",
   "zh": "软错误故障响应",
   "level": "l3"
  },
  "CAP_bb461f30": {
   "en": "EncodedCodewordArithmetic",
   "zh": "编码码字算术运算",
   "level": "l3"
  },
  "CAP_54bf7e48": {
   "en": "Sandboxed Code Execution Container",
   "zh": "沙箱代码执行容器",
   "level": "l3"
  },
  "CAP_3f6a882a": {
   "en": "Metric-Aggregated PR Quality Gate",
   "zh": "度量聚合型 PR 质量门禁",
   "level": "l2"
  },
  "CAP_373fd58c": {
   "en": "Quality Gate Policy Definition",
   "zh": "质量门禁策略定义",
   "level": "l3"
  },
  "CAP_323e0f31": {
   "en": "SonarScanner PR Analysis and Coverage Upload",
   "zh": "SonarScanner PR 分析与覆盖率上传",
   "level": "l3"
  },
  "CAP_5b7f10f9": {
   "en": "Server-Side Quality Gate Status Evaluation",
   "zh": "服务端质量门禁状态评估",
   "level": "l3"
  },
  "CAP_4a87fbbc": {
   "en": "PR Quality Status Decoration",
   "zh": "PR 质量状态回写",
   "level": "l3"
  },
  "CAP_bf81683a": {
   "en": "Baseline-Diff PR Quality Gate",
   "zh": "增量基线对比型 PR 质量门禁",
   "level": "l2"
  },
  "CAP_d3e4ae22": {
   "en": "SAST/Lint Rule Set and Baseline Snapshot",
   "zh": "SAST/Lint 规则集与基线快照",
   "level": "l3"
  },
  "CAP_26258220": {
   "en": "PR Incremental Scan Multi-Tool Orchestration",
   "zh": "PR 增量扫描多工具编排",
   "level": "l3"
  },
  "CAP_90b9c8c7": {
   "en": "New Finding Baseline Diff Comparison",
   "zh": "新增 Finding 基线对比",
   "level": "l3"
  },
  "CAP_e85dd297": {
   "en": "PR Decoration and Inline Review Comments",
   "zh": "PR 回写与行内评审评论",
   "level": "l3"
  },
  "CAP_bebf16b7": {
   "en": "Safety-Certified Code Quality Gate",
   "zh": "安全认证证据型代码门禁",
   "level": "l2"
  },
  "CAP_92b065af": {
   "en": "Safety Standard Rule Set and Verification Requirement Derivation",
   "zh": "安全标准规则集与验证需求导出",
   "level": "l3"
  },
  "CAP_3b847720": {
   "en": "MISRA Static Analysis and Abstract Interpretation Proof",
   "zh": "MISRA 静态分析与抽象解释证明",
   "level": "l3"
  },
  "CAP_e685d4c2": {
   "en": "Structural Coverage Gate (MC/DC)",
   "zh": "结构覆盖率门禁（MC/DC）",
   "level": "l3"
  },
  "CAP_6d22dcf4": {
   "en": "Deviation Exemption Management",
   "zh": "偏差豁免管理",
   "level": "l3"
  },
  "CAP_bb22c6b5": {
   "en": "Certification Evidence Packaging and Submission",
   "zh": "认证证据打包与提交",
   "level": "l3"
  },
  "CAP_e0821cf3": {
   "en": "EEG Cognitive Load Estimation",
   "zh": "EEG 认知负荷评估",
   "level": "l2"
  },
  "CAP_b314b986": {
   "en": "OpenBCI EEG Stream Acquisition",
   "zh": "OpenBCI EEG 实时流采集",
   "level": "l3"
  },
  "CAP_7e20b315": {
   "en": "EEG Bandpass Filtering & Downsampling",
   "zh": "EEG 带通滤波与降采样",
   "level": "l3"
  },
  "CAP_f9011ab4": {
   "en": "EEG ICA Artifact Removal",
   "zh": "EEG ICA 去伪影",
   "level": "l3"
  },
  "CAP_4e299162": {
   "en": "EEGNet Three-State Cognitive Load Classification",
   "zh": "EEGNet 三态认知负荷分类",
   "level": "l3"
  },
  "CAP_92a74c10": {
   "en": "Pupillometry & Eye Tracking Cognitive Load Estimation",
   "zh": "眼动与瞳孔认知负荷评估",
   "level": "l2"
  },
  "CAP_66f90b28": {
   "en": "TEPR Baseline Correction & Feature Extraction",
   "zh": "任务诱发性瞳孔反应特征提取",
   "level": "l3"
  },
  "CAP_12bf5c5e": {
   "en": "Pupil Based Cognitive Load Classification",
   "zh": "认知负荷三态分类器",
   "level": "l3"
  },
  "CAP_c83a3df8": {
   "en": "Behavioral Cognitive Load Estimation",
   "zh": "行为指标认知负荷评估",
   "level": "l2"
  },
  "CAP_21216156": {
   "en": "Behavioral Cognitive Load Classifier",
   "zh": "行为认知负荷分类器",
   "level": "l3"
  },
  "CAP_288f6b47": {
   "en": "Behavioral Timing Fluency Metrics Computation",
   "zh": "行为时序流畅度指标计算",
   "level": "l2"
  },
  "CAP_9d818e06": {
   "en": "Activity State Annotation",
   "zh": "活动状态时序标注",
   "level": "l3"
  },
  "CAP_c97d5873": {
   "en": "Idle Time Ratio Computation",
   "zh": "空闲时间比计算",
   "level": "l3"
  },
  "CAP_ac351086": {
   "en": "Concurrent Activity Ratio Computation",
   "zh": "并发活动比计算",
   "level": "l3"
  },
  "CAP_57b94d2b": {
   "en": "Functional Dependence Delay Computation",
   "zh": "功能依赖延迟计算",
   "level": "l3"
  },
  "CAP_bcf4b2e6": {
   "en": "Resource Delay Computation",
   "zh": "资源交接延迟计算",
   "level": "l3"
  },
  "CAP_4eb85a93": {
   "en": "Concurrent Inactivity Computation",
   "zh": "并发不活动度量",
   "level": "l3"
  },
  "CAP_fa1e4cff": {
   "en": "Conflict Rate And Throughput Statistics",
   "zh": "冲突率与团队吞吐统计",
   "level": "l3"
  },
  "CAP_18a509ea": {
   "en": "Subjective-Objective Fluency Correlation Analysis",
   "zh": "主客观流畅度关联分析",
   "level": "l3"
  },
  "CAP_40498e10": {
   "en": "Interaction Log Capture with Timestamp Alignment",
   "zh": "交互日志采集与时间戳对齐",
   "level": "l2"
  },
  "CAP_1678378e": {
   "en": "Trajectory Motion Smoothness Estimation",
   "zh": "轨迹运动平滑度估计",
   "level": "l3"
  },
  "CAP_fd4bb959": {
   "en": "Trajectory Synchronization Analysis",
   "zh": "主从轨迹同步性分析",
   "level": "l3"
  },
  "CAP_ffec173f": {
   "en": "Fluency Score Aggregation Output",
   "zh": "流畅度聚合评分输出",
   "level": "l3"
  },
  "CAP_228a3b01": {
   "en": "NASA-TLX Composite Workload Scoring",
   "zh": "NASA-TLX 综合负荷评分",
   "level": "l2"
  },
  "CAP_66bb2832": {
   "en": "NASA-TLX Six-Dimension Subscale Rating",
   "zh": "NASA-TLX 6 维子量表评分",
   "level": "l3"
  },
  "CAP_6c18b997": {
   "en": "Human Rater Rubric Scoring Computation",
   "zh": "人工评分量表度量计算",
   "level": "l2"
  },
  "CAP_4a4a17eb": {
   "en": "GEARS Six-Domain Skill Rating",
   "zh": "GEARS 六维技能评分",
   "level": "l3"
  },
  "CAP_ee33483c": {
   "en": "Rubric Score Aggregation",
   "zh": "rubric 分数聚合",
   "level": "l3"
  },
  "CAP_b8e2daf9": {
   "en": "Inter-Rater Reliability Assessment",
   "zh": "评分员间一致性检验",
   "level": "l3"
  },
  "CAP_6d7e8f9a": {
   "en": "Fitts Throughput Computation",
   "zh": "Fitts 吞吐量计算",
   "level": "l3"
  },
  "CAP_921bdbe3": {
   "en": "Error Bound and Fitts ID Instantiation",
   "zh": "误差界与 Fitts ID 实例化",
   "level": "l3"
  },
  "CAP_34844062": {
   "en": "Collaborative Force Threshold Configuration",
   "zh": "协作力阈值配置",
   "level": "l2"
  },
  "CAP_2abcd3ec": {
   "en": "UR PFL Force/Power Limit Parameter Mapping and Deployment",
   "zh": "UR PFL 力/功率限制参数映射与下发",
   "level": "l3"
  },
  "CAP_e9c987d5": {
   "en": "PFL Configuration Readback and Collision Test Validation",
   "zh": "PFL 配置回读与碰撞测试校验",
   "level": "l3"
  },
  "CAP_81c8eaf1": {
   "en": "Franka Collision Reflex Test and Threshold Readback Validation",
   "zh": "Franka 碰撞反射测试与阈值回读校验",
   "level": "l3"
  },
  "CAP_f344057d": {
   "en": "F/T Sensor Safety Controller Signal Chain Configuration",
   "zh": "F/T 传感器安全控制器信号链配置",
   "level": "l3"
  },
  "CAP_e916abce": {
   "en": "Safety Controller Force Monitoring Function Block Parameter Configuration",
   "zh": "安全控制器力监控功能块参数配置",
   "level": "l3"
  },
  "CAP_a6e00670": {
   "en": "Force Monitoring Function Block Response Test",
   "zh": "力监控功能块响应测试",
   "level": "l3"
  },
  "CAP_06f40998": {
   "en": "UR RTDE Transparent Control Interface Initialization",
   "zh": "UR RTDE 透明控制接口初始化",
   "level": "l3"
  },
  "CAP_b6d39432": {
   "en": "Robot Real-time Control Interface Connection",
   "zh": "机器人实时控制接口连接",
   "level": "l3"
  },
  "CAP_2690531f": {
   "en": "Collision Detection Interface Configuration",
   "zh": "碰撞检测接口配置",
   "level": "l2"
  },
  "CAP_e19cb10a": {
   "en": "Collision Behavior Threshold Configuration",
   "zh": "碰撞行为阈值配置",
   "level": "l3"
  },
  "CAP_7ee5830e": {
   "en": "Static Threshold and Persistence Parameter Configuration",
   "zh": "静态阈值与持续性参数配置",
   "level": "l3"
  },
  "CAP_f6a54272": {
   "en": "Multi-level Threshold Band and Hysteresis Configuration",
   "zh": "多级阈值带与迟滞配置",
   "level": "l3"
  },
  "CAP_567e42a3": {
   "en": "MAML Meta-Learning Preference Pipeline",
   "zh": "MAML 元学习偏好迁移流水线",
   "level": "l2"
  },
  "CAP_f9f30372": {
   "en": "Multi-User Preference Data Taskization",
   "zh": "多用户偏好数据任务化",
   "level": "l3"
  },
  "CAP_9ac0358e": {
   "en": "MAML Meta-Learning Preference Training",
   "zh": "MAML 元学习偏好训练",
   "level": "l3"
  },
  "CAP_2916d22c": {
   "en": "Evidence Candidate Selection",
   "zh": "证据候选选择",
   "level": "l3"
  },
  "CAP_f9dddcf1": {
   "en": "Personalized Preference Prediction",
   "zh": "个性化偏好预测",
   "level": "l3"
  },
  "CAP_61c5ee7d": {
   "en": "Preference Comparison Shared Reward Pipeline",
   "zh": "偏好对比学习共享奖励模型流水线",
   "level": "l2"
  },
  "CAP_039fe417": {
   "en": "Preference Pair Collection",
   "zh": "偏好对收集",
   "level": "l3"
  },
  "CAP_bbf25d7a": {
   "en": "Shared Reward Model Training",
   "zh": "共享奖励模型训练",
   "level": "l3"
  },
  "CAP_bf556081": {
   "en": "Preference-Driven RL Fine-tune",
   "zh": "偏好驱动强化学习微调",
   "level": "l3"
  },
  "CAP_8928c214": {
   "en": "New User Preference Adaptation",
   "zh": "新用户偏好适配",
   "level": "l3"
  },
  "CAP_c56cd17b": {
   "en": "Personalized Policy Deployment",
   "zh": "个性化策略部署",
   "level": "l3"
  },
  "CAP_89475ade": {
   "en": "Collaborative Filtering Preference Pipeline",
   "zh": "协同过滤偏好共享流水线",
   "level": "l2"
  },
  "CAP_6cadb571": {
   "en": "Interaction Matrix Construction",
   "zh": "交互矩阵构建",
   "level": "l3"
  },
  "CAP_07d37c3a": {
   "en": "Matrix Factorization Training",
   "zh": "矩阵分解训练",
   "level": "l3"
  },
  "CAP_cc037bba": {
   "en": "Cold-Start User Vector Solving",
   "zh": "冷启动用户向量求解",
   "level": "l3"
  },
  "CAP_fac38676": {
   "en": "Top-K Preference Recommendation",
   "zh": "Top-K 偏好推荐",
   "level": "l3"
  },
  "CAP_27b4fa48": {
   "en": "Metadata Cold-Start Personalization",
   "zh": "元数据冷启动个性化",
   "level": "l3"
  },
  "CAP_664a534b": {
   "en": "Preference Data Collection",
   "zh": "偏好数据收集",
   "level": "l3"
  },
  "CAP_2a0eebb2": {
   "en": "Reward Model Training",
   "zh": "奖励模型训练",
   "level": "l3"
  },
  "CAP_7928b62d": {
   "en": "Alignment Evaluation",
   "zh": "对齐评估",
   "level": "l3"
  },
  "CAP_33640e1f": {
   "en": "Centralized Object-Level Impedance Cooperative Lift-Carry",
   "zh": "集中式物体级阻抗协同抬举搬运",
   "level": "l2"
  },
  "CAP_91b9d56c": {
   "en": "Object 6D Pose and Inertia Estimation for Cooperative Lift",
   "zh": "物体六维位姿估计与质量/质心/惯量参数辨识，为协同抬举提供统一的物体级参考坐标系与动力学参数。",
   "level": "l3"
  },
  "CAP_ece4d6c8": {
   "en": "Dual-Arm Cooperative Grasp Point Allocation",
   "zh": "为双臂分配抓取接触点并验证力封闭，确保抬举与搬运过程中物体不滑脱。",
   "level": "l3"
  },
  "CAP_aad98c24": {
   "en": "Virtual Linkage Grasp Matrix Force Distribution",
   "zh": "基于虚拟连杆模型与 grasp matrix 将物体级合力/合力矩分解为各臂末端接触力。",
   "level": "l3"
  },
  "CAP_8b64ce33": {
   "en": "Synchronized Lift Trajectory Generation",
   "zh": "为双臂生成同步抬升轨迹，保证物体在垂直方向匀速上升且姿态稳定。",
   "level": "l3"
  },
  "CAP_b431553b": {
   "en": "Object-Level Cartesian Impedance Cooperative Lift Execution",
   "zh": "以物体级笛卡尔阻抗控制器闭环执行协同抬举，兼顾位置跟踪与外力柔顺。",
   "level": "l3"
  },
  "CAP_7c6136e2": {
   "en": "Cooperative Carry Trajectory Synchronization",
   "zh": "在搬运阶段维持双臂末端相对位姿恒定并同步跟踪搬运路径。",
   "level": "l3"
  },
  "CAP_c11caeb8": {
   "en": "Synchronized Descent and Release Placement",
   "zh": "协同下放物体至目标位置并在到位后同步释放抓取。",
   "level": "l3"
  },
  "CAP_314f6e8a": {
   "en": "Distributed Admittance Cooperative Lift-Carry",
   "zh": "分布式导纳协同抬举搬运",
   "level": "l2"
  },
  "CAP_2bd49f8a": {
   "en": "Multi-Mobile-Manipulator Distributed Pose Estimation",
   "zh": "各移动操作臂以分布式方式估计自身与物体/同伴的相对位姿，无中心节点。",
   "level": "l3"
  },
  "CAP_2010e301": {
   "en": "Per-Robot Local Grasp Planning and Execution",
   "zh": "各机器人本地规划并执行对物体的抓取，不依赖中心规划器。",
   "level": "l3"
  },
  "CAP_eb247ab4": {
   "en": "Local Admittance Controller Configuration for Cooperative Lift",
   "zh": "各机器人配置本地导纳控制器参数，为协同抬举建立力-位混合柔顺环。",
   "level": "l3"
  },
  "CAP_f095ead3": {
   "en": "Implicit Force Communication Consensus Lift",
   "zh": "通过物体作为力学媒介实现隐式力通信，各机器人以本地导纳响应同伴施加的力。",
   "level": "l3"
  },
  "CAP_d18d3af8": {
   "en": "Mobile Manipulator Formation Carry Trajectory Sync",
   "zh": "在搬运阶段维持多移动操作臂编队几何并同步跟踪搬运路径。",
   "level": "l3"
  },
  "CAP_34a5828f": {
   "en": "Distributed Cooperative Descent and Release",
   "zh": "各机器人分布式协同下放物体并同步释放，无需中心同步信号。",
   "level": "l3"
  },
  "CAP_0b85f141": {
   "en": "Learning-Based Bimanual Cooperative Lift-Carry",
   "zh": "学习型双臂协同抬举搬运",
   "level": "l2"
  },
  "CAP_f3241268": {
   "en": "Bimanual Lift-Carry Teleoperation Demonstration Collection",
   "zh": "通过 Mobile ALOHA 遥操作平台采集双臂协同抬举-搬运演示数据。",
   "level": "l3"
  },
  "CAP_ec4f78f4": {
   "en": "Multimodal Observation Stream Temporal Alignment for Lift-Carry",
   "zh": "将多视角 RGB 图像与关节位置流时间对齐并构建 ACT 训练样本。",
   "level": "l3"
  },
  "CAP_ce8cc8e6": {
   "en": "ACT CVAE Behavior Cloning Training for Cooperative Lift-Carry",
   "zh": "以 Action Chunking Transformer (CVAE) 对协同抬举搬运演示做行为克隆训练。",
   "level": "l3"
  },
  "CAP_ba96665e": {
   "en": "Action Chunk Decoding and Queue Buffering",
   "zh": "推理时解码 ACT 输出的 action chunk 并入队缓冲以供平滑执行。",
   "level": "l3"
  },
  "CAP_b999e5e0": {
   "en": "Temporal Ensemble Bimanual Cooperative Lift-Carry Execution",
   "zh": "以 temporal ensemble 平滑多 chunk 重叠区动作并闭环执行双臂协同抬举搬运。",
   "level": "l3"
  },
  "CAP_2e27507a": {
   "en": "ISO 10218 Operation Mode Control",
   "zh": "ISO 10218 操作模式控制",
   "level": "l2"
  },
  "CAP_92b54f77": {
   "en": "Operation Mode Selection and Safety Arbitration",
   "zh": "操作模式选择与安全仲裁",
   "level": "l3"
  },
  "CAP_7bac9b4b": {
   "en": "Safety Controller Modbus Adapter",
   "zh": "安全控制器 Modbus 适配器",
   "level": "l3"
  },
  "CAP_71c79d89": {
   "en": "Cartesian Speed Monitoring Enforcement",
   "zh": "笛卡尔速度监控执行",
   "level": "l3"
  },
  "CAP_d74066bd": {
   "en": "Safe Stop 1 Execution and Recovery",
   "zh": "Safe Stop 1 执行与恢复",
   "level": "l3"
  },
  "CAP_c91674c0": {
   "en": "Sensor Triggered Collaborative Mode Control",
   "zh": "传感器触发协作模式控制",
   "level": "l2"
  },
  "CAP_7c9f6ffb": {
   "en": "Safety Laser Scanner Zone Detection",
   "zh": "安全激光扫描仪区域检测",
   "level": "l3"
  },
  "CAP_c2a31213": {
   "en": "Safety IO Triggered State Machine",
   "zh": "Safety I/O 触发状态机",
   "level": "l3"
  },
  "CAP_80edae50": {
   "en": "Velocity Scaling Enforcement",
   "zh": "速度缩放与安全停止执行",
   "level": "l3"
  },
  "CAP_2ee6dd50": {
   "en": "Safety Event Recovery",
   "zh": "安全事件恢复",
   "level": "l3"
  },
  "CAP_f8970029": {
   "en": "Hand Guiding Mode State Machine",
   "zh": "手动引导模式状态机",
   "level": "l2"
  },
  "CAP_ab5d689b": {
   "en": "Enabling Switch Hand-Guiding Activation",
   "zh": "使能开关手动引导激活",
   "level": "l3"
  },
  "CAP_d94b978f": {
   "en": "Hand-Guiding Force and Speed Limiting",
   "zh": "手动引导力与速度限制",
   "level": "l3"
  },
  "CAP_d8465e80": {
   "en": "Collaborative Zone Exit Recovery",
   "zh": "协作区退出恢复",
   "level": "l3"
  },
  "CAP_509be898": {
   "en": "DOOR-SLAM Distributed SLAM System",
   "zh": "DOOR-SLAM 分布式SLAM系统",
   "level": "l3"
  },
  "CAP_0a089126": {
   "en": "Swarm-SLAM Decentralized C-SLAM",
   "zh": "Swarm-SLAM 去中心化协同SLAM",
   "level": "l3"
  },
  "CAP_0f213048": {
   "en": "Task Complexity Multi-Dimensional Scoring",
   "zh": "任务复杂度多维度评分",
   "level": "l3"
  },
  "CAP_5cc368d2": {
   "en": "Human-Robot Capability Profile Modeling",
   "zh": "人机能力剖面建模",
   "level": "l3"
  },
  "CAP_209b9787": {
   "en": "Complexity Threshold Rule Allocation",
   "zh": "复杂度阈值规则分工",
   "level": "l3"
  },
  "CAP_18146060": {
   "en": "Vector-based Capability Matching",
   "zh": "向量式能力匹配",
   "level": "l3"
  },
  "CAP_9f12a0d1": {
   "en": "Task Cognitive Load Estimation",
   "zh": "任务认知负荷估计",
   "level": "l3"
  },
  "CAP_afd00200": {
   "en": "Cognitive Facet Classification",
   "zh": "认知facet分类",
   "level": "l3"
  },
  "CAP_6661b8b6": {
   "en": "Ergonomic Load Quantification via REBA/RULA",
   "zh": "REBA/RULA工效学负荷量化",
   "level": "l3"
  },
  "CAP_2aad2ce8": {
   "en": "Optimization Solver Wrapper",
   "zh": "优化求解器封装",
   "level": "l3"
  },
  "CAP_64f375c7": {
   "en": "High-Fidelity Twin Policy Debug",
   "zh": "高保真孪生策略调试",
   "level": "l3"
  },
  "CAP_6f51e31a": {
   "en": "Online Re-optimization Trigger with Plan Stability",
   "zh": "在线重优化触发与方案稳定性",
   "level": "l3"
  },
  "CAP_9e469aae": {
   "en": "Ergonomics Load Quantification",
   "zh": "工效学负荷量化",
   "level": "l3"
  },
  "CAP_3e56a23d": {
   "en": "Online Reoptimization Trigger and Stability",
   "zh": "在线重优化触发与稳定性维护",
   "level": "l3"
  },
  "CAP_ea343381": {
   "en": "LLM-Driven Human-Robot Allocation Decision",
   "zh": "LLM驱动人机分工裁决",
   "level": "l3"
  },
  "CAP_1f5171c3": {
   "en": "Feedback-Driven LLM Re-allocation",
   "zh": "反馈驱动LLM重分工",
   "level": "l3"
  },
  "CAP_6e6ab1bd": {
   "en": "Human-Robot Allocation Preference Learning",
   "zh": "人机分工偏好学习",
   "level": "l3"
  },
  "CAP_d8d28651": {
   "en": "Visual Scene Perception",
   "zh": "视觉场景感知",
   "level": "l2"
  },
  "CAP_294ea723": {
   "en": "Open-Set Object Detection",
   "zh": "开放集合目标检测",
   "level": "l3"
  },
  "CAP_4d604bcc": {
   "en": "Human Action Tracking",
   "zh": "操作工动作追踪",
   "level": "l3"
  },
  "CAP_37b5c33e": {
   "en": "LLM-based Task Instruction Generation",
   "zh": "基于LLM的任务指令生成",
   "level": "l2"
  },
  "CAP_4d7cbb73": {
   "en": "State-to-Instruction Mapping",
   "zh": "状态到指令映射",
   "level": "l3"
  },
  "CAP_fd1b3138": {
   "en": "Preference Learning for Task Allocation",
   "zh": "任务分配偏好学习",
   "level": "l2"
  },
  "CAP_04c37a66": {
   "en": "Symbolic Collaborative Goal Inference",
   "zh": "符号化协作目标推断",
   "level": "l2"
  },
  "CAP_74f499d4": {
   "en": "Human Action Observation Acquisition",
   "zh": "人类动作观测获取",
   "level": "l3"
  },
  "CAP_51853f08": {
   "en": "Goal Recognition as Planning",
   "zh": "计划识别即规划",
   "level": "l3"
  },
  "CAP_8cd947c6": {
   "en": "Landmark-based Goal Recognition",
   "zh": "地标目标识别",
   "level": "l3"
  },
  "CAP_0517e167": {
   "en": "Sub-goal Decomposition and Role Allocation",
   "zh": "子目标分解与角色分配",
   "level": "l3"
  },
  "CAP_f0357f07": {
   "en": "Bayesian Team Goal Inference",
   "zh": "贝叶斯团队目标推断",
   "level": "l2"
  },
  "CAP_dd936868": {
   "en": "Collaborator Trajectory Observation",
   "zh": "协作者轨迹观测",
   "level": "l3"
  },
  "CAP_f9490e08": {
   "en": "Inverse Planning Likelihood Computation",
   "zh": "逆规划似然计算",
   "level": "l3"
  },
  "CAP_7dc922cb": {
   "en": "Active Inference Goal Posterior",
   "zh": "主动推理目标后验",
   "level": "l3"
  },
  "CAP_c066ea35": {
   "en": "Multi-agent Goal Posterior Aggregation",
   "zh": "多智能体目标后验汇聚",
   "level": "l3"
  },
  "CAP_5e594e85": {
   "en": "Rationality Parameter Estimation",
   "zh": "理性参数估计",
   "level": "l3"
  },
  "CAP_a60f74aa": {
   "en": "Robot Role Decision under Uncertainty",
   "zh": "不确定性下机器人角色决策",
   "level": "l3"
  },
  "CAP_3af3a5cf": {
   "en": "LLM Collaborative Goal Inference",
   "zh": "大模型协作目标推断",
   "level": "l2"
  },
  "CAP_0e002e74": {
   "en": "Natural Language Instruction Parsing",
   "zh": "自然语言指令解析",
   "level": "l3"
  },
  "CAP_30a478d1": {
   "en": "CoT Collaborative Goal Reasoning",
   "zh": "CoT协作目标推理",
   "level": "l3"
  },
  "CAP_b11192cc": {
   "en": "Sub-goal Decomposition via LLM",
   "zh": "LLM子目标分解",
   "level": "l3"
  },
  "CAP_917f1e6b": {
   "en": "Interactive Feedback Integration",
   "zh": "交互式反馈整合",
   "level": "l3"
  },
  "CAP_0a98a496": {
   "en": "VLA Robot Role Action Generation",
   "zh": "VLA机器人角色动作生成",
   "level": "l3"
  },
  "CAP_c2d0283d": {
   "en": "Dec-POMDP Shared Goal Inference",
   "zh": "Dec-POMDP共享目标推断",
   "level": "l2"
  },
  "CAP_263340db": {
   "en": "Dec-POMDP Problem Formulation",
   "zh": "Dec-POMDP问题建模",
   "level": "l3"
  },
  "CAP_77c14738": {
   "en": "Joint Belief State Initialization",
   "zh": "联合信念状态初始化",
   "level": "l3"
  },
  "CAP_c258fe81": {
   "en": "Local Observation Acquisition",
   "zh": "局部观测获取",
   "level": "l3"
  },
  "CAP_4f7732fa": {
   "en": "Dec-POMDP Joint Policy Solving",
   "zh": "Dec-POMDP联合策略求解",
   "level": "l3"
  },
  "CAP_b4c91929": {
   "en": "Active Inference Joint Goal Posterior",
   "zh": "主动推理联合目标后验",
   "level": "l3"
  },
  "CAP_1c78887a": {
   "en": "Role Allocation via Joint Policy",
   "zh": "联合策略角色分配",
   "level": "l3"
  },
  "CAP_d5353318": {
   "en": "Online Replanning under Partial Observability",
   "zh": "部分可观测在线重规划",
   "level": "l3"
  },
  "CAP_70326935": {
   "en": "External Torque Baseline Calibration",
   "zh": "外部力矩基线标定",
   "level": "l3"
  },
  "CAP_949bc574": {
   "en": "Momentum Observer Residual Generation & Collision Decision",
   "zh": "动量观测器残差生成与碰撞判决",
   "level": "l2"
  },
  "CAP_b619cc6b": {
   "en": "Residual Threshold Collision Judgment",
   "zh": "残差阈值碰撞判决",
   "level": "l3"
  },
  "CAP_56f46b8e": {
   "en": "Industrial Collision Safety Stop & Recovery",
   "zh": "工业碰撞安全停止与恢复",
   "level": "l2"
  },
  "CAP_e387b9cd": {
   "en": "Reflex Safety Stop Trigger",
   "zh": "Reflex 安全停止触发",
   "level": "l3"
  },
  "CAP_ec16d824": {
   "en": "Multi-modal Signal Collection",
   "zh": "多模态信号采集",
   "level": "l3"
  },
  "CAP_56a0c477": {
   "en": "Anomaly Score Model Loading",
   "zh": "异常分数模型加载",
   "level": "l3"
  },
  "CAP_88ba8237": {
   "en": "Anomaly Score Collision Decision & Response",
   "zh": "异常分数碰撞判决与响应",
   "level": "l2"
  },
  "CAP_92feca49": {
   "en": "Online Anomaly Score Inference",
   "zh": "在线异常分数推理",
   "level": "l3"
  },
  "CAP_afd98dda": {
   "en": "Anomaly Score Threshold Collision Judgment",
   "zh": "异常分数阈值碰撞判决",
   "level": "l3"
  },
  "CAP_d1c8938f": {
   "en": "Learning-based Collision Safety Stop & Recovery",
   "zh": "学习型碰撞安全停止与恢复",
   "level": "l3"
  },
  "CAP_a05dd090": {
   "en": "Real-time External Force Monitoring & Threshold Decision",
   "zh": "实时外部力矩监测与阈值判决",
   "level": "l2"
  },
  "CAP_68a55dfc": {
   "en": "ISO/TS 15066 Threshold Gating",
   "zh": "ISO/TS 15066 阈值门控",
   "level": "l3"
  },
  "CAP_a7358550": {
   "en": "Contact Classification & Overlimit Decision",
   "zh": "接触分类与越限判决",
   "level": "l3"
  },
  "CAP_50e0d1b6": {
   "en": "Elastic Retreat Recovery",
   "zh": "弹性退避恢复",
   "level": "l3"
  },
  "CAP_1892482e": {
   "en": "Sensor and Model Preparation",
   "zh": "传感器与模型准备",
   "level": "l2"
  },
  "CAP_e994c799": {
   "en": "Residual Observation and Collision Detection",
   "zh": "残差观测与碰撞检测",
   "level": "l2"
  },
  "CAP_c94dcb46": {
   "en": "Collision Force Reconstruction and Direction Estimation",
   "zh": "碰撞力重建与方向估计",
   "level": "l2"
  },
  "CAP_35b5ed2e": {
   "en": "Collision Force Decomposition and Contact Point Estimation",
   "zh": "碰撞力分解与接触点估计",
   "level": "l3"
  },
  "CAP_62ccc0bd": {
   "en": "Data Acquisition and Training Preparation",
   "zh": "数据采集与训练准备",
   "level": "l3"
  },
  "CAP_2cc1a248": {
   "en": "Residual Directional Collision Joint Isolation",
   "zh": "残差方向性碰撞关节隔离",
   "level": "l3"
  },
  "CAP_013070c3": {
   "en": "Collision Force Decomposition",
   "zh": "碰撞力分解",
   "level": "l3"
  },
  "CAP_b03711f9": {
   "en": "Collision Contact Point Estimation",
   "zh": "碰撞接触点估计",
   "level": "l3"
  },
  "CAP_786bd32c": {
   "en": "F/T Force Dynamics Compensation",
   "zh": "F/T 力动力学补偿",
   "level": "l3"
  },
  "CAP_c8ba0800": {
   "en": "Semiparametric Collision Force Estimation Model Training",
   "zh": "半参数碰撞力估计模型训练",
   "level": "l3"
  },
  "CAP_e863efe1": {
   "en": "Online Collision Force Inference",
   "zh": "在线碰撞力推理",
   "level": "l3"
  },
  "CAP_4b81ce08": {
   "en": "ESDF Distance Transform",
   "zh": "ESDF 距离变换",
   "level": "l3"
  },
  "CAP_86773b9e": {
   "en": "Minkowski Convex Contact Normal",
   "zh": "Minkowski差空间凸-凸接触法线",
   "level": "l2"
  },
  "CAP_9883138f": {
   "en": "Convex Pair Dispatcher Routing",
   "zh": "凸体对分派器路由",
   "level": "l3"
  },
  "CAP_5b49946a": {
   "en": "Analytic Primitive Pair Normal Closed-Form",
   "zh": "解析图元对法线闭式计算",
   "level": "l3"
  },
  "CAP_312ea7d4": {
   "en": "GJK Simplex Evolution",
   "zh": "GJK 单纯形演化与相交判定",
   "level": "l3"
  },
  "CAP_8833d73d": {
   "en": "EPA Polytope Expansion for Penetration Depth",
   "zh": "EPA多面体扩展求穿透深度与法线",
   "level": "l3"
  },
  "CAP_17eada97": {
   "en": "MPR Portal Refinement for Collision Normal",
   "zh": "MPR Portal收敛求接触法线",
   "level": "l3"
  },
  "CAP_ccbf332a": {
   "en": "Persistent Manifold Clustering for Multi-Contact",
   "zh": "持久接触流形聚类",
   "level": "l3"
  },
  "CAP_78ee23ec": {
   "en": "BVH Triangle Mesh Contact Normal",
   "zh": "BVH三角网格接触法线计算",
   "level": "l2"
  },
  "CAP_15a40bdc": {
   "en": "BVH Double-Tree Traversal Pruning",
   "zh": "BVH双重遍历剪枝",
   "level": "l3"
  },
  "CAP_db8b96a0": {
   "en": "Triangle Triangle Intersection Test",
   "zh": "三角形对相交测试（Möller 1997）",
   "level": "l3"
  },
  "CAP_5938192e": {
   "en": "Point-Triangle Closest Point Computation",
   "zh": "点-三角形最近点计算",
   "level": "l3"
  },
  "CAP_21029caf": {
   "en": "Contact Feature Classification for Triangle Pair",
   "zh": "三角形对接触特征分类",
   "level": "l3"
  },
  "CAP_ac1faa22": {
   "en": "Triangle Mesh Contact Manifold Generation",
   "zh": "三角网格接触流形生成",
   "level": "l3"
  },
  "CAP_1505d736": {
   "en": "SDF Gradient Contact Normal",
   "zh": "SDF梯度场接触法线计算",
   "level": "l2"
  },
  "CAP_0cba9b73": {
   "en": "SDF Trilinear Interpolation for Continuous Field",
   "zh": "SDF三线性插值连续化",
   "level": "l3"
  },
  "CAP_b7ee13f7": {
   "en": "SDF Gradient Central Difference Sampling",
   "zh": "SDF梯度中心差分采样",
   "level": "l3"
  },
  "CAP_9310a814": {
   "en": "Batch Sphere Obstacle SDF Collision Query",
   "zh": "批量球体-障碍物SDF碰撞查询",
   "level": "l3"
  },
  "CAP_1891a5e8": {
   "en": "GPU-Native ESDF Generation from Depth",
   "zh": "GPU原生ESDF从深度图生成",
   "level": "l3"
  },
  "CAP_2b0b181d": {
   "en": "Voxel BitVector Collision with SDF Backprop",
   "zh": "体素BitVector碰撞与SDF反推",
   "level": "l3"
  },
  "CAP_3bb78106": {
   "en": "Workspace-variable Impedance Shaping",
   "zh": "工作空间变阻抗整形",
   "level": "l2"
  },
  "CAP_c4102669": {
   "en": "Vendor Built-in Freedrive Control",
   "zh": "厂商内置自由拖动控制",
   "level": "l2"
  },
  "CAP_d903df1e": {
   "en": "Sensor-Based Hand Guiding Control",
   "zh": "传感器驱动手部引导控制",
   "level": "l2"
  },
  "CAP_dbdde293": {
   "en": "ISO SSM Safety Zone Control",
   "zh": "工作空间安全区（基于 ISO/TS 15066 SSM）",
   "level": "l3"
  },
  "CAP_5c07910b": {
   "en": "Collision-Triggered Compliant Reflex and Retreat",
   "zh": "碰撞触发柔顺反射与退避",
   "level": "l2"
  },
  "CAP_5b9fcff5": {
   "en": "Observer Residual Anomaly Threshold Gate",
   "zh": "观测器残差异常阈值门控与碰撞分类",
   "level": "l3"
  },
  "CAP_b6b776e0": {
   "en": "Collision Threshold Reflexive Stop",
   "zh": "碰撞阈值反射停机",
   "level": "l3"
  },
  "CAP_fce432bd": {
   "en": "Residual Observer Collision Stop",
   "zh": "观测器触发碰撞安全停止与恢复",
   "level": "l3"
  },
  "CAP_57f479be": {
   "en": "Vendor Freedrive Mode Activation",
   "zh": "厂商自由拖动模式激活",
   "level": "l3"
  },
  "CAP_6805d9ed": {
   "en": "HandGuiding Mode Activation",
   "zh": "HandGuiding 手部引导模式激活",
   "level": "l3"
  },
  "CAP_85d30e67": {
   "en": "Low Stiffness Joint Impedance Hand Guiding",
   "zh": "低刚度关节阻抗手部引导",
   "level": "l3"
  },
  "CAP_f21410b6": {
   "en": "Freedrive Mode Exit and Safety Return",
   "zh": "自由拖动模式退出与安全返回",
   "level": "l3"
  },
  "CAP_d3066446": {
   "en": "Hand Guiding Exit and Return",
   "zh": "手部引导模式退出与返回",
   "level": "l3"
  },
  "CAP_fb81f28e": {
   "en": "Collision-Triggered Compliant Reflex Mode Switch",
   "zh": "碰撞触发柔顺反射模式切换",
   "level": "l3"
  },
  "CAP_cac6bf90": {
   "en": "Contact Normal Compliant Retreat",
   "zh": "接触法向估计与柔顺退避轨迹",
   "level": "l3"
  },
  "CAP_1e4c16fe": {
   "en": "Collision Peak Force Constrained Impedance Synthesis",
   "zh": "碰撞峰值力约束阻抗综合",
   "level": "l3"
  },
  "CAP_e4685fb1": {
   "en": "Injury-Aware Contextual Reaction Strategy",
   "zh": "伤害感知情境反应策略",
   "level": "l3"
  },
  "CAP_a8c893dd": {
   "en": "Collision Stop to Freedrive Recovery Workflow",
   "zh": "碰撞停止到自由拖动恢复工作流",
   "level": "l3"
  },
  "CAP_3834f63c": {
   "en": "Collision Severity Estimation",
   "zh": "碰撞严重程度估计",
   "level": "l2"
  },
  "CAP_c0fe1931": {
   "en": "Biomech Contact Severity Grading",
   "zh": "接触力生物力学阈值严重度分级",
   "level": "l2"
  },
  "CAP_8b581e6f": {
   "en": "Contact Severity Level Classification",
   "zh": "接触严重度等级分类",
   "level": "l3"
  },
  "CAP_90a7d478": {
   "en": "Robot Signal Energy Severity Grading",
   "zh": "机器人信号能量严重度分级",
   "level": "l2"
  },
  "CAP_7b7e546c": {
   "en": "Collision Energy Integration",
   "zh": "碰撞能量积分计算",
   "level": "l3"
  },
  "CAP_5ae30d14": {
   "en": "Severity to Response Strategy Mapping",
   "zh": "严重度到响应策略映射",
   "level": "l3"
  },
  "CAP_9064d170": {
   "en": "ML Crash Severity Prediction",
   "zh": "机器学习碰撞严重度预测",
   "level": "l2"
  },
  "CAP_c7defaa8": {
   "en": "Crash Severity Model Training",
   "zh": "碰撞严重度分类模型训练",
   "level": "l3"
  },
  "CAP_c9340bf5": {
   "en": "Online Severity Inference",
   "zh": "在线严重度推理",
   "level": "l3"
  },
  "CAP_1922ea23": {
   "en": "Fault Severity Quantification",
   "zh": "故障严重度量化",
   "level": "l3"
  },
  "CAP_b8145097": {
   "en": "Signal Preprocessing and Feature Engineering",
   "zh": "信号预处理与特征工程",
   "level": "l3"
  },
  "CAP_fb55f216": {
   "en": "Alert Severity Level Decision",
   "zh": "告警严重度级别决策",
   "level": "l3"
  },
  "CAP_238fe888": {
   "en": "WDP Combinatorial Auction Solving",
   "zh": "WDP 组合拍卖求解编排",
   "level": "l2"
  },
  "CAP_27ad6837": {
   "en": "Bundle Bid Collection",
   "zh": "组合报价收集与打包",
   "level": "l3"
  },
  "CAP_e6bc19d2": {
   "en": "Bundle Conflict Constraint Construction",
   "zh": "互补互斥冲突约束构建",
   "level": "l3"
  },
  "CAP_16a82bda": {
   "en": "Branch-and-Bound WDP",
   "zh": "分支定界胜者决定求解",
   "level": "l3"
  },
  "CAP_f4df694d": {
   "en": "Solver-Based WDP",
   "zh": "求解器底座 WDP 求解",
   "level": "l3"
  },
  "CAP_f9032644": {
   "en": "Heuristic WDP",
   "zh": "启发式近似胜者求解",
   "level": "l3"
  },
  "CAP_21fb1da3": {
   "en": "Learning-Based WDP",
   "zh": "学习式 WDP 近似求解",
   "level": "l3"
  },
  "CAP_c111a694": {
   "en": "Winner Allocation Output",
   "zh": "胜者分配输出",
   "level": "l3"
  },
  "CAP_6bfff72f": {
   "en": "WDP Formulation",
   "zh": "获胜者确定问题建模",
   "level": "l3"
  },
  "CAP_0a597351": {
   "en": "Distributed Auction State Sensing",
   "zh": "分布式拍卖状态感知",
   "level": "l2"
  },
  "CAP_3d8fe114": {
   "en": "Local Auction Bid Computation",
   "zh": "局部投标计算",
   "level": "l3"
  },
  "CAP_15ab5ddf": {
   "en": "Local Winning Bid Vector Update",
   "zh": "本地中标出价向量更新",
   "level": "l3"
  },
  "CAP_116a7b8c": {
   "en": "CBBA Bundle Release and Chain Drop",
   "zh": "CBBA连锁弃单与重构",
   "level": "l3"
  },
  "CAP_68c3e4d6": {
   "en": "CbbaDistributedSolving",
   "zh": "CBBA 分布式迭代求解",
   "level": "l2"
  },
  "CAP_df00d1c3": {
   "en": "Auction Result Dispatch",
   "zh": "拍卖结果输出与执行派发",
   "level": "l3"
  },
  "CAP_bd7ecb4a": {
   "en": "Combinatorial Bandit Super-arm Selection",
   "zh": "组合老虎机超臂选择",
   "level": "l2"
  },
  "CAP_70428bb5": {
   "en": "CUCB Super-arm Oracle Selection",
   "zh": "CUCB超臂oracle选择",
   "level": "l3"
  },
  "CAP_82663c33": {
   "en": "Combinatorial Thompson Sampling Coordination Control",
   "zh": "组合汤普森采样协同控制",
   "level": "l2"
  },
  "CAP_a90971d0": {
   "en": "Neural Combinatorial OP Pipeline",
   "zh": "神经组合优化OP管线",
   "level": "l2"
  },
  "CAP_59adf14d": {
   "en": "NCO Autoregressive Decoding",
   "zh": "NCO自回归解码",
   "level": "l3"
  },
  "CAP_b5dbd8eb": {
   "en": "Attention Model Neural Combinatorial Optimization TSP",
   "zh": "Attention Model 神经组合优化 TSP",
   "level": "l2"
  },
  "CAP_3afad92d": {
   "en": "REINFORCE Training Greedy Rollout Baseline",
   "zh": "REINFORCE 训练（贪心 rollout baseline）",
   "level": "l3"
  },
  "CAP_02d509c3": {
   "en": "Super-arm Feasibility Constraint Definition",
   "zh": "超臂可行性约束定义",
   "level": "l3"
  },
  "CAP_9e2b1037": {
   "en": "Semi-bandit Feedback Collection",
   "zh": "Semi-bandit反馈采集",
   "level": "l3"
  },
  "CAP_22dace32": {
   "en": "Thompson Posterior Sampling",
   "zh": "Thompson后验采样",
   "level": "l3"
  },
  "CAP_a8f80023": {
   "en": "Task Fleet Environment Setup",
   "zh": "任务机群环境与通信图建模",
   "level": "l3"
  },
  "CAP_f736f0ba": {
   "en": "CBBA Bundle Initialization",
   "zh": "CBBA 捆绑包初始化",
   "level": "l3"
  },
  "CAP_9cf5667e": {
   "en": "CBBA Convergence Detection",
   "zh": "CBBA 收敛判定",
   "level": "l3"
  },
  "CAP_2533e4d3": {
   "en": "CMAB Base Arm Space Construction",
   "zh": "CMAB基臂空间构建",
   "level": "l3"
  },
  "CAP_c717a533": {
   "en": "CUCB Confidence Upper Bound",
   "zh": "CUCB置信上界计算",
   "level": "l3"
  },
  "CAP_1420c8dd": {
   "en": "Super-arm Execution Dispatch",
   "zh": "超臂执行调度",
   "level": "l3"
  },
  "CAP_1783b6bb": {
   "en": "CMAB Regret Tracking and Stopping",
   "zh": "CMAB遗憾跟踪与停止",
   "level": "l3"
  },
  "CAP_e688b5f8": {
   "en": "NBV Viewpoint Candidate Generation",
   "zh": "NBV视角候选生成",
   "level": "l3"
  },
  "CAP_d74b5b91": {
   "en": "Information Gain UCB Estimation",
   "zh": "信息增益UCB估计",
   "level": "l3"
  },
  "CAP_0717baef": {
   "en": "Submodular Greedy Super-arm Selection",
   "zh": "子模贪心超臂选择",
   "level": "l3"
  },
  "CAP_8f27eff3": {
   "en": "Multi-Robot Viewpoint Execution Dispatch",
   "zh": "多机器人视角执行调度",
   "level": "l3"
  },
  "CAP_75042457": {
   "en": "Scene Model Incremental Update",
   "zh": "场景模型增量更新",
   "level": "l3"
  },
  "CAP_07ecbba7": {
   "en": "NBV Semi-bandit Feedback Collection",
   "zh": "NBV semi-bandit反馈采集",
   "level": "l3"
  },
  "CAP_5f52164d": {
   "en": "Submodular CMAB Regret Tracking",
   "zh": "子模CMAB遗憾跟踪",
   "level": "l3"
  },
  "CAP_d5670f9e": {
   "en": "Submodular Combinatorial Bandit Perception Planning",
   "zh": "子模组合老虎机感知规划",
   "level": "l2"
  },
  "CAP_3663b494": {
   "en": "Joint Parameter Candidate Enumeration",
   "zh": "关节参数候选枚举",
   "level": "l3"
  },
  "CAP_42347e42": {
   "en": "Joint Combination Super-arm Constraint",
   "zh": "关节组合超臂约束",
   "level": "l3"
  },
  "CAP_a12e0802": {
   "en": "Beta-Bernoulli Posterior Maintenance",
   "zh": "Beta-Bernoulli后验维护",
   "level": "l3"
  },
  "CAP_c7b2b8f8": {
   "en": "CTS Greedy Super-arm Selection",
   "zh": "CTS贪心超臂选择",
   "level": "l3"
  },
  "CAP_60ae6309": {
   "en": "Beta Posterior Incremental Update",
   "zh": "Beta后验增量更新",
   "level": "l3"
  },
  "CAP_6ccca83b": {
   "en": "DDS-Security Robot PKI Certificate Lifecycle",
   "zh": "DDS-Security 机器人 PKI 证书生命周期",
   "level": "l2"
  },
  "CAP_1cd43a76": {
   "en": "Command Source Authentication Handshake",
   "zh": "指令来源认证握手",
   "level": "l3"
  },
  "CAP_351f8322": {
   "en": "Authenticated Enclave Enforcement",
   "zh": "认证飞地强制策略",
   "level": "l3"
  },
  "CAP_bc30246b": {
   "en": "Command Authorization and Privilege Tiering",
   "zh": "指令授权与权限分级",
   "level": "l2"
  },
  "CAP_24b6caed": {
   "en": "Least Privilege Command Zoning",
   "zh": "最小权限指令分区策略编写",
   "level": "l3"
  },
  "CAP_90256cbe": {
   "en": "Command Authorization Enforcement",
   "zh": "指令授权运行时强制",
   "level": "l3"
  },
  "CAP_d442a3f4": {
   "en": "Torque Saturation Limiting",
   "zh": "关节力矩饱和限幅",
   "level": "l2"
  },
  "CAP_f3ddc9b3": {
   "en": "Joint Position Limit Clamping",
   "zh": "关节位置限位裁剪",
   "level": "l3"
  },
  "CAP_6c114ce1": {
   "en": "Joint Torque Saturation Clamping",
   "zh": "关节力矩饱和限幅",
   "level": "l3"
  },
  "CAP_b7fc6ba9": {
   "en": "Joint Limits Loading From URDF And YAML",
   "zh": "从 URDF 与 YAML 加载关节限位",
   "level": "l3"
  },
  "CAP_6439b404": {
   "en": "Safety Zone Definition",
   "zh": "安全区域定义",
   "level": "l3"
  },
  "CAP_151e3d63": {
   "en": "Graded Speed Limiting",
   "zh": "分级速度限制",
   "level": "l3"
  },
  "CAP_a7198a45": {
   "en": "Safety Controller Integration",
   "zh": "安全控制器集成",
   "level": "l3"
  },
  "CAP_1daabe8e": {
   "en": "Command Interface Setpoint Write",
   "zh": "command 接口设定值写入",
   "level": "l3"
  },
  "CAP_9177a156": {
   "en": "Behavioral Anomaly Safety Filtering",
   "zh": "行为异常安全过滤",
   "level": "l2"
  },
  "CAP_0e22f579": {
   "en": "Command Stream Safety Filtering",
   "zh": "指令流安全过滤",
   "level": "l3"
  },
  "CAP_d0f9e6b5": {
   "en": "Anomalous Command Quarantine",
   "zh": "异常指令隔离",
   "level": "l3"
  },
  "CAP_47bcaa67": {
   "en": "SkillApiSpecDecl",
   "zh": "技能库API规约声明",
   "level": "l3"
  },
  "CAP_a4d9272b": {
   "en": "FewshotPromptAssembly",
   "zh": "Few-shot提示组装",
   "level": "l3"
  },
  "CAP_738bf0d1": {
   "en": "LLM Reasoning and Skill Selection",
   "zh": "LLM推理与技能选择",
   "level": "l3"
  },
  "CAP_b5858520": {
   "en": "StructuredParamCodegen",
   "zh": "结构化参数代码生成",
   "level": "l3"
  },
  "CAP_74904e4d": {
   "en": "HierarchicalCodegen",
   "zh": "层次化代码生成",
   "level": "l3"
  },
  "CAP_c8269bda": {
   "en": "Skill Parameter Extraction",
   "zh": "技能参数提取",
   "level": "l3"
  },
  "CAP_058aaed5": {
   "en": "LLM Affordance Constraint Propagation",
   "zh": "LLM affordance约束传播",
   "level": "l3"
  },
  "CAP_8c382c57": {
   "en": "SayCanArgmaxSelect",
   "zh": "SayCan乘积argmax技能选择",
   "level": "l3"
  },
  "CAP_dd5d0680": {
   "en": "IterativeDialogPlanning",
   "zh": "迭代式对话规划",
   "level": "l3"
  },
  "CAP_d816fd92": {
   "en": "LmpSafetyCheckExec",
   "zh": "LMP安全校验与执行",
   "level": "l3"
  },
  "CAP_5f623ca0": {
   "en": "Foundation Model Open-Vocabulary Perception",
   "zh": "基础模型开放词表感知",
   "level": "l2"
  },
  "CAP_fedc87e3": {
   "en": "Semantic Affordance Representation Driven Grasp Generation",
   "zh": "语义Affordance表征驱动抓取生成",
   "level": "l2"
  },
  "CAP_71ba0200": {
   "en": "GroundedParamExec",
   "zh": "接地参数执行与闭环",
   "level": "l2"
  },
  "CAP_72c2ad7b": {
   "en": "Open-Set Detection and Segmentation",
   "zh": "开放集检测与分割",
   "level": "l3"
  },
  "CAP_d4dbf6f0": {
   "en": "VLM Part-Grounded Grasp Pipeline",
   "zh": "VLM部件接地抓取管线",
   "level": "l3"
  },
  "CAP_a6498af3": {
   "en": "Transporter Dual Stream Action",
   "zh": "Transporter双流动作",
   "level": "l3"
  },
  "CAP_7efa51ab": {
   "en": "Pick Affordance Prediction Head",
   "zh": "抓取Affordance预测头",
   "level": "l3"
  },
  "CAP_c8efeaf8": {
   "en": "Place Affordance Prediction via Cross-Correlation",
   "zh": "互相关放置Affordance预测",
   "level": "l3"
  },
  "CAP_29fa8646": {
   "en": "Affordance Intermediate Representation Learning",
   "zh": "Affordance中间表征学习",
   "level": "l3"
  },
  "CAP_6e129058": {
   "en": "VLM Affordance Heatmap Validation",
   "zh": "VLM Affordance热图验证",
   "level": "l3"
  },
  "CAP_8e527085": {
   "en": "Greedy Motion Planning",
   "zh": "贪心运动规划",
   "level": "l3"
  },
  "CAP_80889bb2": {
   "en": "VLM Visual Commonsense Validation",
   "zh": "VLM视觉常识验证",
   "level": "l3"
  },
  "CAP_98a3f5a6": {
   "en": "IntentSlotPipeline",
   "zh": "意图-槽位参数提取管线",
   "level": "l2"
  },
  "CAP_3ebba4eb": {
   "en": "NluJointExtraction",
   "zh": "意图槽位联合提取",
   "level": "l2"
  },
  "CAP_69f9c0f6": {
   "en": "DeclTypedParamGen",
   "zh": "声明式类型化参数生成",
   "level": "l2"
  },
  "CAP_d72fa113": {
   "en": "TypedParamBinding",
   "zh": "类型化参数运行时绑定",
   "level": "l2"
  },
  "CAP_d4b6309a": {
   "en": "InstructionTextPreprocess",
   "zh": "指令文本接收与预处理",
   "level": "l3"
  },
  "CAP_28ecfba3": {
   "en": "Discriminative Slot Filling",
   "zh": "判别式槽位填充",
   "level": "l3"
  },
  "CAP_7287d54f": {
   "en": "SlotValueSynonymNorm",
   "zh": "槽值同义词规范化",
   "level": "l3"
  },
  "CAP_f1cba9c1": {
   "en": "TypedParamCodegen",
   "zh": "声明式类型化参数代码生成",
   "level": "l3"
  },
  "CAP_1bff2760": {
   "en": "ParameterConstraintValidation",
   "zh": "参数约束校验",
   "level": "l3"
  },
  "CAP_606d5aac": {
   "en": "TypedParamNodeBinding",
   "zh": "类型化参数节点绑定",
   "level": "l3"
  },
  "CAP_26c45ff1": {
   "en": "Cross-Node Parameter Synchronization",
   "zh": "跨节点参数同步",
   "level": "l3"
  },
  "CAP_a0c000d9": {
   "en": "Relation Token Mapping",
   "zh": "关系 token 映射",
   "level": "l3"
  },
  "CAP_778e8947": {
   "en": "Generative Model Fine-tuning",
   "zh": "生成模型微调",
   "level": "l2"
  },
  "CAP_3f13d222": {
   "en": "GPT Pretrained Initialization",
   "zh": "GPT 预训练权重初始化",
   "level": "l3"
  },
  "CAP_2ccb619b": {
   "en": "Conditional Log-likelihood Fine-tuning",
   "zh": "条件对数似然微调",
   "level": "l3"
  },
  "CAP_07d06ee4": {
   "en": "Commonsense Triple Generation",
   "zh": "常识三元组生成",
   "level": "l2"
  },
  "CAP_d91f47c4": {
   "en": "Beam Search Knowledge Generation",
   "zh": "beam search 常识生成",
   "level": "l3"
  },
  "CAP_dd302fea": {
   "en": "Novelty Filtering and Quality Scoring",
   "zh": "新颖性过滤与质量评分",
   "level": "l3"
  },
  "CAP_85624a32": {
   "en": "KB Writeback and Integration",
   "zh": "知识库写回与集成",
   "level": "l2"
  },
  "CAP_1025b857": {
   "en": "Generated Knowledge Writeback to KB",
   "zh": "生成常识写回知识库",
   "level": "l3"
  },
  "CAP_4753be15": {
   "en": "Human Evaluation Sampling",
   "zh": "人工评测抽检",
   "level": "l3"
  },
  "CAP_b8ed2205": {
   "en": "Corpus Ingestion and Dependency Parsing",
   "zh": "语料摄入与依存预处理",
   "level": "l2"
  },
  "CAP_45a2e09b": {
   "en": "Corpus Collection",
   "zh": "多源语料收集",
   "level": "l3"
  },
  "CAP_26f8f13a": {
   "en": "Dependency Parsing",
   "zh": "依存句法解析",
   "level": "l3"
  },
  "CAP_fb9ac4fc": {
   "en": "Eventuality Extraction",
   "zh": "事件性抽取",
   "level": "l2"
  },
  "CAP_970cd35a": {
   "en": "Dependency Pattern Matching",
   "zh": "依存模式匹配",
   "level": "l3"
  },
  "CAP_4cc296a2": {
   "en": "Eventuality Hyperedge Construction",
   "zh": "事件性超边构建",
   "level": "l3"
  },
  "CAP_0700a851": {
   "en": "Discourse Relation Extraction",
   "zh": "话语关系抽取",
   "level": "l2"
  },
  "CAP_bb0c838d": {
   "en": "Seed Connective Extraction and Bootstrapping",
   "zh": "种子连接词抽取与自举",
   "level": "l3"
  },
  "CAP_d636127e": {
   "en": "End-to-end Discourse Parsing",
   "zh": "端到端话语关系解析",
   "level": "l3"
  },
  "CAP_49343f89": {
   "en": "Weighted Eventuality Graph Construction",
   "zh": "加权事件常识图谱构建",
   "level": "l3"
  },
  "CAP_abb7f409": {
   "en": "Visual Data Collection and Person Grounding",
   "zh": "视觉数据采集与人物接地",
   "level": "l2"
  },
  "CAP_b4ac2ff4": {
   "en": "Image Collection and Person Detection",
   "zh": "图像采集与人物检测",
   "level": "l3"
  },
  "CAP_c8f932a9": {
   "en": "Visual Feature Extraction and Person Grounding",
   "zh": "视觉特征提取与人物接地",
   "level": "l3"
  },
  "CAP_a7235bd9": {
   "en": "Visual Commonsense Annotation",
   "zh": "视觉常识标注",
   "level": "l2"
  },
  "CAP_dba7d05f": {
   "en": "Grounded Event and Intent Annotation",
   "zh": "接地事件与意图标注",
   "level": "l3"
  },
  "CAP_e9f6b1d2": {
   "en": "Before After Inference Annotation",
   "zh": "前后事件推理标注",
   "level": "l3"
  },
  "CAP_92e4bc17": {
   "en": "GPT-2 Conditional Generation Fine-tuning",
   "zh": "GPT-2 条件生成微调",
   "level": "l3"
  },
  "CAP_b920f09f": {
   "en": "Inference Generation and Graph Construction",
   "zh": "推理生成与图谱构建",
   "level": "l2"
  },
  "CAP_3ab66f55": {
   "en": "Nucleus Sampling Inference Generation",
   "zh": "核采样推理生成",
   "level": "l3"
  },
  "CAP_97f730c7": {
   "en": "Visual Commonsense Graph Construction",
   "zh": "视觉常识图构建",
   "level": "l3"
  },
  "CAP_b792d64e": {
   "en": "Ontology Loading and KB Initialization",
   "zh": "本体加载与知识库初始化",
   "level": "l2"
  },
  "CAP_559d1543": {
   "en": "Ontology Schema Loading",
   "zh": "本体模式加载",
   "level": "l3"
  },
  "CAP_72e2c403": {
   "en": "Hybrid Knowledge Base Configuration",
   "zh": "混合知识库配置",
   "level": "l3"
  },
  "CAP_f2d872ed": {
   "en": "Perception Symbol Mapping",
   "zh": "感知符号映射",
   "level": "l2"
  },
  "CAP_55d63ed1": {
   "en": "Ontology Individual Instantiation and Assertion",
   "zh": "本体个体实例化与断言",
   "level": "l3"
  },
  "CAP_f857ec5f": {
   "en": "Implicit Knowledge Explicitation",
   "zh": "隐式知识显式化",
   "level": "l3"
  },
  "CAP_4b38414c": {
   "en": "Hybrid Reasoning and Knowledge Expansion",
   "zh": "混合推理与知识扩充",
   "level": "l2"
  },
  "CAP_665b8800": {
   "en": "Data-driven Forward Chaining Reasoning",
   "zh": "数据驱动前向链推理",
   "level": "l3"
  },
  "CAP_4fda7424": {
   "en": "Goal-driven Backward Chaining Reasoning",
   "zh": "目标驱动后向链推理",
   "level": "l3"
  },
  "CAP_b5743582": {
   "en": "Knowledge Query and Closed-loop Update",
   "zh": "知识查询与闭环更新",
   "level": "l2"
  },
  "CAP_e170fba3": {
   "en": "Query Pipeline Evaluation",
   "zh": "查询管道求值",
   "level": "l3"
  },
  "CAP_df27a79f": {
   "en": "Closed-loop KB Update",
   "zh": "闭环知识库更新",
   "level": "l3"
  },
  "CAP_6ef08512": {
   "en": "LLM Commonsense Verdict",
   "zh": "LLM 常识合理性裁决",
   "level": "l2"
  },
  "CAP_41b3398c": {
   "en": "Conformal Prediction Ambiguity Detection",
   "zh": "Conformal Prediction 常识歧义检测",
   "level": "l3"
  },
  "CAP_5c2e84e3": {
   "en": "Symbolic Commonsense Formal Verification",
   "zh": "符号化常识形式验证",
   "level": "l2"
  },
  "CAP_609a736f": {
   "en": "CRAM Plan Execution-Time Condition Validation",
   "zh": "CRAM Plan 执行时条件验证",
   "level": "l3"
  },
  "CAP_fac682a8": {
   "en": "KB State Update and Consistency Check",
   "zh": "KB 状态更新与一致性检查",
   "level": "l3"
  },
  "CAP_e69009dc": {
   "en": "Tool Physics Ontology Querying",
   "zh": "工具物理本体查询",
   "level": "l3"
  },
  "CAP_bb697f88": {
   "en": "Ontology Loading and Initialization",
   "zh": "本体加载与初始化",
   "level": "l3"
  },
  "CAP_f480896f": {
   "en": "Post-Execution Visual Consistency Validation",
   "zh": "执行后视觉一致性验证",
   "level": "l3"
  },
  "CAP_04497536": {
   "en": "Physical Commonsense Prompt Construction",
   "zh": "物理常识 Prompt 构造",
   "level": "l3"
  },
  "CAP_7ac875e8": {
   "en": "Direct VLM Single-shot VQA",
   "zh": "直接 VLM 单次视觉问答",
   "level": "l3"
  },
  "CAP_9063a3e8": {
   "en": "Question-Conditioned VQA",
   "zh": "问题条件视觉问答",
   "level": "l3"
  },
  "CAP_53857f31": {
   "en": "PlanParsingAndValidation",
   "zh": "计划解析与合法性验证",
   "level": "l3"
  },
  "CAP_1213ff50": {
   "en": "Perception-to-Symbolic-State-Mapping",
   "zh": "感知到符号状态映射",
   "level": "l3"
  },
  "CAP_7e85c528": {
   "en": "Communication-Constrained Collaborative Mapping",
   "zh": "通信受限协同建图",
   "level": "l2"
  },
  "CAP_5122f938": {
   "en": "Motion-Threshold Keyframe Selection for Upload",
   "zh": "运动阈值关键帧上传选择",
   "level": "l3"
  },
  "CAP_7714c9a6": {
   "en": "Adaptive Voxelization for Upload Compression",
   "zh": "上传压缩自适应体素化",
   "level": "l3"
  },
  "CAP_6fb5d622": {
   "en": "Two-Stage Gated Descriptor Communication",
   "zh": "两阶段门控描述符通信",
   "level": "l3"
  },
  "CAP_67d30563": {
   "en": "Linear-Scaling Decentralized Data Association",
   "zh": "线性扩展去中心化数据关联",
   "level": "l3"
  },
  "CAP_eeaeae70": {
   "en": "Bandwidth-Parameter Tradeoff Control",
   "zh": "带宽参数权衡控制",
   "level": "l3"
  },
  "CAP_6da5d85d": {
   "en": "Delta Incremental Map Update Transmission",
   "zh": "增量地图更新传输",
   "level": "l3"
  },
  "CAP_3c6c1485": {
   "en": "SIT Auction Bid Calculation",
   "zh": "SIT 拍卖 Bid 计算",
   "level": "l3"
  },
  "CAP_2559e1a0": {
   "en": "Bid Broadcast and Arbitration",
   "zh": "Bid 广播与中标裁决",
   "level": "l3"
  },
  "CAP_63d6e43d": {
   "en": "Allocation Confirmation and Update",
   "zh": "分配确认与状态更新",
   "level": "l3"
  },
  "CAP_f6d2860c": {
   "en": "Communication Topology and Pinning Build",
   "zh": "通信拓扑与 Pinning 构建",
   "level": "l3"
  },
  "CAP_217258d7": {
   "en": "Connectivity Trigger Evaluation",
   "zh": "连通性触发条件评估",
   "level": "l3"
  },
  "CAP_0da6276a": {
   "en": "Motion Execution and State Transition",
   "zh": "控制执行与下一周期状态转移",
   "level": "l3"
  },
  "CAP_ffffc2aa": {
   "en": "Communication Link State Sensing",
   "zh": "通信链路状态感知",
   "level": "l3"
  },
  "CAP_fff13ce8": {
   "en": "Risk-Aware Policy Solving",
   "zh": "风险感知策略求解",
   "level": "l3"
  },
  "CAP_15e4ba90": {
   "en": "Spatial Confidence Map Generation",
   "zh": "空间置信图生成",
   "level": "l3"
  },
  "CAP_640ffe2b": {
   "en": "Communication Timing and Target Selection",
   "zh": "通信时机与对象选择",
   "level": "l3"
  },
  "CAP_f81f87df": {
   "en": "Bandwidth-Adaptive Spatial Region Selection",
   "zh": "带宽自适应空间区域选择",
   "level": "l3"
  },
  "CAP_bc5e0d55": {
   "en": "Communication Timing Decision",
   "zh": "通信时机决策",
   "level": "l3"
  },
  "CAP_a42d9e6a": {
   "en": "Weight-Based Communication Scheduling",
   "zh": "权重调度通信",
   "level": "l3"
  },
  "CAP_dc8d86ad": {
   "en": "Message Packing and Transmission",
   "zh": "消息打包与传输",
   "level": "l3"
  },
  "CAP_1f5d66a2": {
   "en": "Confidence-Aware Message Fusion",
   "zh": "置信度感知消息融合",
   "level": "l3"
  },
  "CAP_b94781c3": {
   "en": "End-to-End Communication Policy Training",
   "zh": "端到端通信策略训练",
   "level": "l3"
  },
  "CAP_891f0636": {
   "en": "Spatial Confidence Generation",
   "zh": "空间置信图生成",
   "level": "l2"
  },
  "CAP_bfddc078": {
   "en": "Spatial Confidence Generation (Where2comm)",
   "zh": "空间置信图生成（Where2comm）",
   "level": "l3"
  },
  "CAP_a0c3b668": {
   "en": "Communication Decision",
   "zh": "通信决策",
   "level": "l2"
  },
  "CAP_8ba98590": {
   "en": "Perception Feature Extraction",
   "zh": "感知特征提取",
   "level": "l2"
  },
  "CAP_4fcf362b": {
   "en": "Communication Scheduling Decision",
   "zh": "通信调度决策",
   "level": "l2"
  },
  "CAP_d1cb10fb": {
   "en": "Message Generation and Transmission",
   "zh": "消息生成与传输",
   "level": "l3"
  },
  "CAP_b03475bc": {
   "en": "Compressed Message Encoding",
   "zh": "压缩消息编码",
   "level": "l3"
  },
  "CAP_ad0623d2": {
   "en": "Message Transmission",
   "zh": "消息传输",
   "level": "l3"
  },
  "CAP_31de3147": {
   "en": "Feature Fusion and Decoding",
   "zh": "特征融合与解码",
   "level": "l2"
  },
  "CAP_ad624550": {
   "en": "Multi-agent Feature Fusion",
   "zh": "多智能体特征融合",
   "level": "l3"
  },
  "CAP_9cedda68": {
   "en": "Perception Decoding",
   "zh": "感知解码",
   "level": "l3"
  },
  "CAP_0357c9ff": {
   "en": "Intermittent Connectivity Async Coordination Pipeline",
   "zh": "间歇连通异步协调流水线",
   "level": "l3"
  },
  "CAP_38756a12": {
   "en": "Opportunistic Message Synchronization",
   "zh": "机会式消息同步",
   "level": "l3"
  },
  "CAP_1514c57f": {
   "en": "Passive Ranging Listen",
   "zh": "被动测距监听",
   "level": "l3"
  },
  "CAP_3422900a": {
   "en": "Preintegrated IMU Broadcast",
   "zh": "预积分 IMU 广播",
   "level": "l3"
  },
  "CAP_d905a2f7": {
   "en": "On-Manifold Relative Pose EKF",
   "zh": "流形上相对位姿 EKF",
   "level": "l3"
  },
  "CAP_b15afa4e": {
   "en": "Network Metric Collection",
   "zh": "网络指标采集",
   "level": "l3"
  },
  "CAP_e9cedb0c": {
   "en": "Passive UWB Ranging",
   "zh": "被动UWB测距",
   "level": "l3"
  },
  "CAP_93bbe0c5": {
   "en": "Communication Trigger Decision",
   "zh": "通信触发决策",
   "level": "l3"
  },
  "CAP_bbeb5fff": {
   "en": "Header Synchronization",
   "zh": "Header同步",
   "level": "l3"
  },
  "CAP_e75306d2": {
   "en": "Message Request and Compression",
   "zh": "消息请求与压缩",
   "level": "l3"
  },
  "CAP_0ab505bc": {
   "en": "Communication-Efficient Distributed State Estimation",
   "zh": "通信高效分布式状态估计",
   "level": "l2"
  },
  "CAP_f27c83f1": {
   "en": "Local LiDAR-Inertial Odometry",
   "zh": "局部LiDAR-惯性里程计",
   "level": "l3"
  },
  "CAP_2d525ed3": {
   "en": "Keyframe Selection for Bandwidth Reduction",
   "zh": "带宽减少关键帧选择",
   "level": "l3"
  },
  "CAP_3eedd991": {
   "en": "Lightweight Global Descriptor Extraction",
   "zh": "轻量全局描述子提取",
   "level": "l3"
  },
  "CAP_6eed9211": {
   "en": "Submap Compression for Communication",
   "zh": "通信子图压缩",
   "level": "l3"
  },
  "CAP_792c8309": {
   "en": "Incremental Map Update Transmission",
   "zh": "增量地图更新传输",
   "level": "l3"
  },
  "CAP_143bd6f0": {
   "en": "Robust Joint Pose Graph Optimization",
   "zh": "鲁棒联合位姿图优化",
   "level": "l3"
  },
  "CAP_79abac81": {
   "en": "Inter-Robot Loop Closure Detection",
   "zh": "跨机器人回环检测",
   "level": "l3"
  },
  "CAP_7b849b99": {
   "en": "Pose Feedback Transmission",
   "zh": "位姿回传",
   "level": "l3"
  },
  "CAP_3ab5104a": {
   "en": "Communication-Efficient Multi-Robot SLAM",
   "zh": "通信高效多机器人SLAM",
   "level": "l2"
  },
  "CAP_2a6c8e4b": {
   "en": "Global Descriptor Exchange",
   "zh": "全局描述符交换",
   "level": "l3"
  },
  "CAP_a9c06d44": {
   "en": "Distributed Submap Compression and Prioritized Transmission",
   "zh": "分布式子图压缩与优先化传输",
   "level": "l3"
  },
  "CAP_043238da": {
   "en": "Local SLAM Frontend",
   "zh": "本地SLAM前端",
   "level": "l3"
  },
  "CAP_ab33bb71": {
   "en": "Communication Decision and Message Generation",
   "zh": "通信决策与消息生成",
   "level": "l2"
  },
  "CAP_5734820d": {
   "en": "Message Generation",
   "zh": "消息生成",
   "level": "l3"
  },
  "CAP_55165ef3": {
   "en": "Message Transmission and Reception",
   "zh": "消息传输与接收",
   "level": "l2"
  },
  "CAP_0f2a40f7": {
   "en": "P2P Message Transmission",
   "zh": "P2P消息传输",
   "level": "l3"
  },
  "CAP_790cb576": {
   "en": "Message Reception",
   "zh": "消息接收",
   "level": "l3"
  },
  "CAP_657972fe": {
   "en": "Distributed Outlier Rejection",
   "zh": "分布式外点剔除",
   "level": "l3"
  },
  "CAP_50e985d1": {
   "en": "Global Map Update",
   "zh": "全局地图更新",
   "level": "l3"
  },
  "CAP_60c733f7": {
   "en": "Multi-Agent Cooperative BEV Encoding",
   "zh": "多Agent协同BEV编码",
   "level": "l3"
  },
  "CAP_0362153e": {
   "en": "Channel Compression Feature Compressor",
   "zh": "通道压缩特征压缩器",
   "level": "l3"
  },
  "CAP_fd474825": {
   "en": "Handshake Query/Key/Value Projection",
   "zh": "握手用Query/Key/Value投影",
   "level": "l3"
  },
  "CAP_0f071a1b": {
   "en": "Temporal Attention Aggregation",
   "zh": "时序注意力聚合",
   "level": "l3"
  },
  "CAP_a1e7e649": {
   "en": "Spatially-Aware GNN Message Aggregation",
   "zh": "空间感知GNN消息聚合",
   "level": "l3"
  },
  "CAP_f3a2e8c1": {
   "en": "Detection Decoding & Bandwidth-AP Tradeoff Evaluation",
   "zh": "检测解码与带宽-AP权衡评估",
   "level": "l3"
  },
  "CAP_d4a1f8c7": {
   "en": "Differentiable Message Generation",
   "zh": "可微消息生成",
   "level": "l3"
  },
  "CAP_d7b5e2a9": {
   "en": "Signature Attention Communication Selection",
   "zh": "签名注意力通信对象选择",
   "level": "l3"
  },
  "CAP_a9c3f7e1": {
   "en": "Individualized Controlled Gating",
   "zh": "个体化门控通信决策",
   "level": "l3"
  },
  "CAP_b2d8c4f3": {
   "en": "Bandwidth-Constrained Scheduling Weights",
   "zh": "带宽受限调度权重",
   "level": "l3"
  },
  "CAP_c5e1a6b8": {
   "en": "Message Aggregation and Policy Network",
   "zh": "消息聚合与策略网络",
   "level": "l3"
  },
  "CAP_e3f2c9d4": {
   "en": "Bandwidth-Reward Trade-off Evaluation",
   "zh": "带宽回报权衡评估",
   "level": "l3"
  },
  "CAP_5914c143": {
   "en": "Observation Encoding for Communication",
   "zh": "通信观测编码",
   "level": "l3"
  },
  "CAP_b11952a5": {
   "en": "CAN Link Initialization",
   "zh": "CAN 链路初始化",
   "level": "l2"
  },
  "CAP_2b9cd2c4": {
   "en": "CANopen Master Configuration",
   "zh": "CANopen 主站与从站配置",
   "level": "l2"
  },
  "CAP_d92e9d5a": {
   "en": "CANopen NMT Operational",
   "zh": "CANopen NMT 运行态进入",
   "level": "l2"
  },
  "CAP_d1fdf890": {
   "en": "SocketCAN Interface Bringup",
   "zh": "SocketCAN 接口启动",
   "level": "l3"
  },
  "CAP_7d7e74c8": {
   "en": "SocketCAN Socket Open Bind",
   "zh": "SocketCAN socket 打开与绑定",
   "level": "l3"
  },
  "CAP_e234b351": {
   "en": "Device Container Init",
   "zh": "DeviceContainer 初始化",
   "level": "l3"
  },
  "CAP_657531f8": {
   "en": "CANopen Bus Config Load",
   "zh": "bus 配置加载",
   "level": "l3"
  },
  "CAP_a4fd44f2": {
   "en": "CANopen Node Scan",
   "zh": "CANopen 主站启动与节点扫描",
   "level": "l3"
  },
  "CAP_38e1e5f5": {
   "en": "CANopen PDO Mapping Config",
   "zh": "CANopen PDO 映射配置",
   "level": "l3"
  },
  "CAP_a0992f8c": {
   "en": "NMT State Transition",
   "zh": "NMT 状态切换到 Operational",
   "level": "l3"
  },
  "CAP_044b2756": {
   "en": "RPDO TPDO Callback Register",
   "zh": "RPDO/TPDO 回调注册",
   "level": "l3"
  },
  "CAP_3f49a82c": {
   "en": "CANopen State Interface Export",
   "zh": "CANopen StateInterface 导出",
   "level": "l3"
  },
  "CAP_31c31079": {
   "en": "CANopen Command Interface Export",
   "zh": "CANopen CommandInterface 导出",
   "level": "l3"
  },
  "CAP_9d6ca1e4": {
   "en": "Controller Manager Read Cycle",
   "zh": "controller_manager read 周期",
   "level": "l3"
  },
  "CAP_f50e828a": {
   "en": "Controller Manager Write Cycle",
   "zh": "controller_manager write 周期",
   "level": "l3"
  },
  "CAP_a255073d": {
   "en": "CANopen Error Timeout Handling",
   "zh": "CANopen 通信错误与超时处理",
   "level": "l3"
  },
  "CAP_31ab41b3": {
   "en": "EtherCAT Network Initialization",
   "zh": "EtherCAT 网络接口初始化",
   "level": "l2"
  },
  "CAP_e0a48d99": {
   "en": "EtherCAT Slave Discovery Configuration",
   "zh": "EtherCAT 从站发现与配置",
   "level": "l2"
  },
  "CAP_fdb76b74": {
   "en": "EtherCAT State Machine Transition",
   "zh": "EtherCAT 状态机切换",
   "level": "l2"
  },
  "CAP_4f34edf6": {
   "en": "Raw Ethernet Socket Creation",
   "zh": "原始以太网 socket 创建",
   "level": "l3"
  },
  "CAP_e8d90da6": {
   "en": "EtherCAT Frame Send Receive",
   "zh": "EtherCAT 帧收发原语",
   "level": "l3"
  },
  "CAP_1c4c6893": {
   "en": "EtherCAT SII EEPROM Read",
   "zh": "EtherCAT SII/EEPROM 读取",
   "level": "l3"
  },
  "CAP_f9159975": {
   "en": "EtherCAT PDO Mapping Config",
   "zh": "EtherCAT PDO 映射配置",
   "level": "l3"
  },
  "CAP_69ea4b4f": {
   "en": "EtherCAT DC Configuration",
   "zh": "EtherCAT 分布式时钟配置",
   "level": "l3"
  },
  "CAP_8472c087": {
   "en": "PreOp to SafeOp Transition",
   "zh": "Pre-Op 到 Safe-Op 切换",
   "level": "l3"
  },
  "CAP_d2351036": {
   "en": "SafeOp to Op Transition",
   "zh": "Safe-Op 到 Op 切换",
   "level": "l3"
  },
  "CAP_e4a4d471": {
   "en": "EthercatDriver Init Configure",
   "zh": "EthercatDriver 初始化与配置",
   "level": "l3"
  },
  "CAP_219d3d7f": {
   "en": "EtherCAT State Command Interface Export",
   "zh": "EtherCAT State/Command 接口导出",
   "level": "l3"
  },
  "CAP_7badca96": {
   "en": "EtherCAT Read Cycle",
   "zh": "EtherCAT read 周期",
   "level": "l3"
  },
  "CAP_1324a5fe": {
   "en": "EtherCAT Write Cycle",
   "zh": "EtherCAT write 周期",
   "level": "l3"
  },
  "CAP_b34fbb17": {
   "en": "WKC DC Error Handling",
   "zh": "WKC 校验与 DC 失步错误处理",
   "level": "l3"
  },
  "CAP_ad394994": {
   "en": "UART Hardware Initialization",
   "zh": "UART 硬件初始化",
   "level": "l2"
  },
  "CAP_b6127ba7": {
   "en": "MicroROS Transport Setup",
   "zh": "micro-ROS 传输层配置",
   "level": "l2"
  },
  "CAP_70482a7c": {
   "en": "MicroROS Agent Bridge",
   "zh": "micro-ROS Agent 桥接与会话建立",
   "level": "l2"
  },
  "CAP_c859407f": {
   "en": "ROS2 Interface Export MicroROS",
   "zh": "ROS2 通信接口导出",
   "level": "l2"
  },
  "CAP_a8b41506": {
   "en": "MicroROS Cyclic Communication",
   "zh": "micro-ROS 周期性通信",
   "level": "l2"
  },
  "CAP_da9b6097": {
   "en": "STM32 HAL UART Init",
   "zh": "STM32 HAL UART 初始化",
   "level": "l3"
  },
  "CAP_2fa745ca": {
   "en": "UART DMA IDLE Receive Config",
   "zh": "UART DMA+IDLE 接收配置",
   "level": "l3"
  },
  "CAP_5a16dfe2": {
   "en": "MicroROS Client Init",
   "zh": "micro-ROS Client 初始化",
   "level": "l3"
  },
  "CAP_26410ae5": {
   "en": "Custom Transport Registration",
   "zh": "自定义 transport 注册",
   "level": "l3"
  },
  "CAP_a4fd2a17": {
   "en": "HDLC Framing Config",
   "zh": "HDLC 帧封装配置",
   "level": "l3"
  },
  "CAP_5a7431ea": {
   "en": "Agent Serial Launch",
   "zh": "Agent 串口模式启动",
   "level": "l3"
  },
  "CAP_4e95c78e": {
   "en": "XRCE Session Establishment",
   "zh": "XRCE 会话建立",
   "level": "l3"
  },
  "CAP_f059d475": {
   "en": "Publisher Subscriber Creation",
   "zh": "Publisher/Subscriber 创建",
   "level": "l3"
  },
  "CAP_b7c63b8a": {
   "en": "CDR Message Serialization",
   "zh": "CDR 消息序列化",
   "level": "l3"
  },
  "CAP_17b8d169": {
   "en": "RCL Publish Cycle",
   "zh": "rcl_publish 发布循环",
   "level": "l3"
  },
  "CAP_4c7dc3f3": {
   "en": "Transport Error Reconnect",
   "zh": "transport 错误与重连处理",
   "level": "l3"
  },
  "CAP_fec255f9": {
   "en": "Private PKI mTLS Certificate Lifecycle",
   "zh": "私有 PKI mTLS 证书生命周期",
   "level": "l2"
  },
  "CAP_64a736a0": {
   "en": "RTPS Submessage Protection",
   "zh": "RTPS 子消息签名与加密编排",
   "level": "l3"
  },
  "CAP_35d54642": {
   "en": "MAVLink v2 Message Signing",
   "zh": "MAVLink v2 消息签名与抗重放",
   "level": "l2"
  },
  "CAP_294da9ca": {
   "en": "MAVLink Signing Key Distribution",
   "zh": "MAVLink 签名密钥生成与分发",
   "level": "l3"
  },
  "CAP_a8523026": {
   "en": "MAVLink Signature Verification",
   "zh": "MAVLink 签名验证与抗重放",
   "level": "l3"
  },
  "CAP_40741e3c": {
   "en": "AUTOSAR SecOC Bus Frame Authentication",
   "zh": "AUTOSAR SecOC 总线帧认证",
   "level": "l2"
  },
  "CAP_b7df2a66": {
   "en": "SecOC KeyM Key Provisioning",
   "zh": "SecOC KeyM 产线密钥供给",
   "level": "l3"
  },
  "CAP_8d0275a0": {
   "en": "SecOC Freshness Value Sync",
   "zh": "SecOC FVM 新鲜值主从同步",
   "level": "l3"
  },
  "CAP_e4694369": {
   "en": "SecOC Secured PDU Construction",
   "zh": "SecOC 安全 PDU 构造与 CMAC 计算",
   "level": "l3"
  },
  "CAP_1358d6b6": {
   "en": "SPIRE Node Attestation",
   "zh": "SPIRE 节点证明与 agent SVID 签发",
   "level": "l3"
  },
  "CAP_fe988cb8": {
   "en": "SPIRE Workload Attestation",
   "zh": "SPIRE 工作负载证明与 SVID 投递",
   "level": "l3"
  },
  "CAP_8a04e9c5": {
   "en": "Envoy SDS mTLS",
   "zh": "Envoy SDS SVID 轮换与 mTLS 建立",
   "level": "l3"
  },
  "CAP_c98ba5ba": {
   "en": "Emergent Protocol Learning",
   "zh": "从零学习通信协议",
   "level": "l2"
  },
  "CAP_47c56530": {
   "en": "Local Observation Protocol Encoder",
   "zh": "局部观测协议编码器",
   "level": "l3"
  },
  "CAP_32779560": {
   "en": "Differentiable Noisy Channel",
   "zh": "可微带噪信道",
   "level": "l3"
  },
  "CAP_f087f36a": {
   "en": "Discrete Symbolic Channel",
   "zh": "离散符号信道",
   "level": "l3"
  },
  "CAP_22b0a312": {
   "en": "Mean Field Message Aggregation",
   "zh": "平均场消息聚合",
   "level": "l3"
  },
  "CAP_721f38b1": {
   "en": "End-to-End Q-Learning Communication Training",
   "zh": "端到端 Q 学习通信训练",
   "level": "l3"
  },
  "CAP_3a8ad714": {
   "en": "Attention Gated Communication",
   "zh": "注意力门控通信",
   "level": "l2"
  },
  "CAP_c38de013": {
   "en": "Communication Gating Head",
   "zh": "通信门控决策头",
   "level": "l3"
  },
  "CAP_3ea41266": {
   "en": "Individualized Message Generation",
   "zh": "个体化消息生成",
   "level": "l3"
  },
  "CAP_9df11104": {
   "en": "Gated Message Broadcast",
   "zh": "门控消息广播",
   "level": "l3"
  },
  "CAP_d20246e7": {
   "en": "Gated Average Aggregation",
   "zh": "门控平均聚合",
   "level": "l3"
  },
  "CAP_729afa8a": {
   "en": "Individualized Reward RL Training",
   "zh": "个体化奖励 RL 训练",
   "level": "l3"
  },
  "CAP_415b1662": {
   "en": "Graph Convolutional Communication",
   "zh": "图卷积通信",
   "level": "l2"
  },
  "CAP_cd48c8b0": {
   "en": "Dynamic Neighbor Graph Construction",
   "zh": "动态邻居图构建",
   "level": "l3"
  },
  "CAP_b54d74ad": {
   "en": "Multi-head Graph Attention Aggregation",
   "zh": "多头图注意力聚合",
   "level": "l3"
  },
  "CAP_ab5b13c6": {
   "en": "Multi-hop Receptive Field Expansion",
   "zh": "多跳感受野扩张",
   "level": "l3"
  },
  "CAP_1dbfef96": {
   "en": "Temporal Relation Regularization",
   "zh": "时序关系正则化",
   "level": "l3"
  },
  "CAP_d2851fdc": {
   "en": "End-to-End DQN Graph Training",
   "zh": "端到端 DQN 图训练",
   "level": "l3"
  },
  "CAP_7054046a": {
   "en": "Sparse Convolution BEV Feature Extraction",
   "zh": "稀疏卷积 BEV 特征提取",
   "level": "l3"
  },
  "CAP_cc17111e": {
   "en": "Three-Stage Handshake Communication",
   "zh": "三阶段握手通信",
   "level": "l3"
  },
  "CAP_a40d4d15": {
   "en": "Probabilistic Channel-Aware Path Planning",
   "zh": "概率信道感知路径规划",
   "level": "l2"
  },
  "CAP_10e1d2ec": {
   "en": "Channel Sampling and Parameter Estimation",
   "zh": "信道采样与参数估计",
   "level": "l3"
  },
  "CAP_0856f62e": {
   "en": "Gaussian Process Channel Prediction",
   "zh": "高斯过程信道预测",
   "level": "l3"
  },
  "CAP_bb5e9fba": {
   "en": "First Passage Distance Computation",
   "zh": "首次通过距离计算",
   "level": "l3"
  },
  "CAP_13aa79dd": {
   "en": "Game-Theoretic Path Planning",
   "zh": "博弈论路径规划",
   "level": "l3"
  },
  "CAP_1b8df705": {
   "en": "Energy-Communication Co-optimization",
   "zh": "能耗通信联合优化",
   "level": "l3"
  },
  "CAP_e79989eb": {
   "en": "Communication-Invariant Graph Search Planning",
   "zh": "通信不变量图搜索规划",
   "level": "l2"
  },
  "CAP_ba948540": {
   "en": "CC-PP Problem Formalization",
   "zh": "CC-PP 问题形式化",
   "level": "l3"
  },
  "CAP_10036684": {
   "en": "Transitive Closure Computation",
   "zh": "传递闭包计算",
   "level": "l3"
  },
  "CAP_38c58934": {
   "en": "Heuristic Precomputation",
   "zh": "启发式预计算",
   "level": "l3"
  },
  "CAP_170e8b9b": {
   "en": "Greedy Best-First Search",
   "zh": "贪心最佳优先搜索",
   "level": "l3"
  },
  "CAP_311e14d9": {
   "en": "Connectivity Invariant Verification",
   "zh": "连通性不变量验证",
   "level": "l3"
  },
  "CAP_8b3997cd": {
   "en": "Communication-Range-Constrained Frontier Exploration",
   "zh": "通信范围约束前沿探索",
   "level": "l2"
  },
  "CAP_462d66f0": {
   "en": "Communication Range Modeling",
   "zh": "通信范围建模",
   "level": "l3"
  },
  "CAP_226b1208": {
   "en": "Communication-Aware Frontier Selection",
   "zh": "通信感知前沿选择",
   "level": "l3"
  },
  "CAP_49306e48": {
   "en": "Reconnection Strategy",
   "zh": "回连策略",
   "level": "l3"
  },
  "CAP_7a3f2c81": {
   "en": "Comm Node Drop Autonomy Planning",
   "zh": "通信节点投放位置自主规划",
   "level": "l3"
  },
  "CAP_363ccd74": {
   "en": "Communication Link Quality Monitoring and Drop Triggering",
   "zh": "通信链路质量监测与补投触发",
   "level": "l3"
  },
  "CAP_063c0d60": {
   "en": "QoS-Aware Multi-Hop Data Delivery",
   "zh": "QoS 感知多跳数据回传",
   "level": "l3"
  },
  "CAP_9c2d4e7a": {
   "en": "Marsupial Heterogeneous Release Planning",
   "zh": "母机-子机异构释放规划",
   "level": "l3"
  },
  "CAP_73972a3c": {
   "en": "Heterogeneous Relay Sub-Robot Recovery Planning",
   "zh": "异构中继子机回收规划",
   "level": "l3"
  },
  "CAP_7d64ad94": {
   "en": "Mesh Backbone Formation and Multi-Hop Route Update",
   "zh": "Mesh 骨干链路形成与多跳路由更新",
   "level": "l3"
  },
  "CAP_4476ca20": {
   "en": "End-to-End System-Level Network Simulation",
   "zh": "端到端系统级网络仿真",
   "level": "l2"
  },
  "CAP_8a387cec": {
   "en": "Network Topology Construction",
   "zh": "网络拓扑构建",
   "level": "l3"
  },
  "CAP_f0aac114": {
   "en": "PHY Channel Model Selection",
   "zh": "物理层信道模型选择",
   "level": "l3"
  },
  "CAP_338f41e3": {
   "en": "3GPP Statistical Channel Configuration",
   "zh": "3GPP统计信道配置",
   "level": "l3"
  },
  "CAP_b98adb34": {
   "en": "NR Protocol Stack Installation",
   "zh": "NR协议栈安装",
   "level": "l3"
  },
  "CAP_8438ef6c": {
   "en": "IP Stack and Core Network Configuration",
   "zh": "IP栈与核心网配置",
   "level": "l3"
  },
  "CAP_8fe26a1f": {
   "en": "Traffic Model and Application Setup",
   "zh": "流量模型与应用配置",
   "level": "l3"
  },
  "CAP_d56a5ac0": {
   "en": "Radio Environment Map Generation",
   "zh": "无线电环境图生成",
   "level": "l3"
  },
  "CAP_273f70ab": {
   "en": "Site-Specific Ray-Traced Coverage Mapping",
   "zh": "站点级射线追踪覆盖制图",
   "level": "l2"
  },
  "CAP_f4b36180": {
   "en": "Statistical Path-Loss Channel Generation",
   "zh": "统计路径损耗信道生成",
   "level": "l2"
  },
  "CAP_b3f69572": {
   "en": "Transceiver Placement and Antenna Configuration",
   "zh": "收发设备放置与天线配置",
   "level": "l3"
  },
  "CAP_5f66542f": {
   "en": "Ray Tracing Path Solver Execution",
   "zh": "射线追踪路径求解",
   "level": "l3"
  },
  "CAP_02f572f1": {
   "en": "Path Gain and Coverage Extraction",
   "zh": "路径增益与覆盖统计提取",
   "level": "l3"
  },
  "CAP_66412b9c": {
   "en": "Radio Map Solver Execution",
   "zh": "覆盖图Monte Carlo求解",
   "level": "l3"
  },
  "CAP_c1e8b480": {
   "en": "Online Ray Tracing Channel Configuration",
   "zh": "在线射线追踪信道配置",
   "level": "l3"
  },
  "CAP_215eb7e6": {
   "en": "Statistical Channel Parameters Setup",
   "zh": "统计信道参数配置",
   "level": "l3"
  },
  "CAP_5b865811": {
   "en": "GSCM Channel Generation",
   "zh": "GSCM几何随机信道生成",
   "level": "l3"
  },
  "CAP_ae638764": {
   "en": "Channel Trajectory Assignment",
   "zh": "信道移动轨迹分配",
   "level": "l3"
  },
  "CAP_3f5983b7": {
   "en": "Path Loss and Shadowing Extraction",
   "zh": "路径损耗与阴影衰落提取",
   "level": "l3"
  },
  "CAP_9b0c2af4": {
   "en": "MIMO Channel Matrix Construction",
   "zh": "MIMO信道矩阵构建",
   "level": "l3"
  },
  "CAP_17b8b23f": {
   "en": "Link-Level Channel Matrix Conversion",
   "zh": "链路级信道矩阵转换",
   "level": "l3"
  },
  "CAP_38512e19": {
   "en": "OFDM Modulation and LDPC Coding",
   "zh": "OFDM调制与LDPC编码",
   "level": "l3"
  },
  "CAP_836d7e49": {
   "en": "Trace-Driven Link Degradation Emulation",
   "zh": "Trace驱动链路退化仿真",
   "level": "l2"
  },
  "CAP_7520f888": {
   "en": "Robot Software Mahimahi Link Wrapping",
   "zh": "机器人软件Mahimahi链路包裹",
   "level": "l3"
  },
  "CAP_5378ac9b": {
   "en": "Communication Constraint Coordination Degradation Evaluation",
   "zh": "通信约束下协调算法退化评估",
   "level": "l3"
  },
  "CAP_b8fabe57": {
   "en": "Communication-Constrained Relay Path Planning",
   "zh": "通信约束中继路径规划",
   "level": "l2"
  },
  "CAP_f32a9d51": {
   "en": "Relay Chain Path Generation",
   "zh": "中继链路径生成",
   "level": "l3"
  },
  "CAP_38f5bfd9": {
   "en": "Graph-Based Subterranean Team Exploration",
   "zh": "图基地下团队探索",
   "level": "l2"
  },
  "CAP_467baf92": {
   "en": "Communication-Aware Exploration Coupling Planning",
   "zh": "通信感知探索耦合规划",
   "level": "l3"
  },
  "CAP_63f6d420": {
   "en": "Opportunistic Communication and Belief Sync",
   "zh": "机会式通信与信念同步",
   "level": "l2"
  },
  "CAP_7aa5f46f": {
   "en": "Propagation Environment Modeling and RSS Prediction",
   "zh": "信号传播环境建模与 RSS 预测",
   "level": "l3"
  },
  "CAP_e69641a0": {
   "en": "Communication-Aware Task Allocation",
   "zh": "通信感知任务分配",
   "level": "l3"
  },
  "CAP_16adb67b": {
   "en": "Compact Pile Analysis",
   "zh": "密堆积分析",
   "level": "l2"
  },
  "CAP_6ea06453": {
   "en": "Volumetric Grasp Quality Orientation Width Regression",
   "zh": "体积抓取质量朝向宽度回归",
   "level": "l3"
  },
  "CAP_97554d04": {
   "en": "Grasp Candidate Extraction from Quality Volume",
   "zh": "抓取质量体积候选提取",
   "level": "l3"
  },
  "CAP_949e2dbb": {
   "en": "Volumetric Grasp Feasibility Ranking",
   "zh": "体积感知抓取可行性排序输出",
   "level": "l3"
  },
  "CAP_715d9bd1": {
   "en": "Antipodal Grasp Candidate Sampling",
   "zh": "对向点抓取候选采样",
   "level": "l3"
  },
  "CAP_d17c1c02": {
   "en": "GQ-CNN Grasp Feasibility Ranking",
   "zh": "GQ-CNN 抓取可行性排序输出",
   "level": "l3"
  },
  "CAP_df7dda37": {
   "en": "Physics Engine Pile Rigid Body Reconstruction",
   "zh": "物理引擎堆刚体重建",
   "level": "l3"
  },
  "CAP_2669cedb": {
   "en": "Forward Grasp Execution Simulation",
   "zh": "正向抓取执行仿真",
   "level": "l3"
  },
  "CAP_8521ca94": {
   "en": "Pile Structural Disturbance Avalanche Analysis",
   "zh": "堆结构扰动与崩塌后果分析",
   "level": "l3"
  },
  "CAP_dc5cd150": {
   "en": "Complementary Learning System",
   "zh": "互补学习系统",
   "level": "l1"
  },
  "CAP_389ecfc8": {
   "en": "CLS-ER Weight-Space Slow-Fast Consolidation",
   "zh": "CLS-ER 权重空间慢-快巩固",
   "level": "l2"
  },
  "CAP_721c4fec": {
   "en": "Dual-Scale EMA Slow Consolidation",
   "zh": "双尺度 EMA 慢巩固",
   "level": "l3"
  },
  "CAP_9aa8f09d": {
   "en": "Asymmetric Cross-Entropy Distillation",
   "zh": "非对称交叉熵蒸馏",
   "level": "l3"
  },
  "CAP_7bfb4702": {
   "en": "FearNet Dual-Storage Network Consolidation",
   "zh": "FearNet 双存储网络巩固",
   "level": "l2"
  },
  "CAP_70c926f5": {
   "en": "Hippocampal Recent Memory Fast Encoding",
   "zh": "海马体近期记忆快编码",
   "level": "l3"
  },
  "CAP_be9322cb": {
   "en": "Sleep Generative Pseudorehearsal Consolidation",
   "zh": "睡眠期生成式伪排练巩固",
   "level": "l3"
  },
  "CAP_a776065b": {
   "en": "Amygdala Recall Routing Gating",
   "zh": "杏仁核召回路由门控",
   "level": "l3"
  },
  "CAP_6abda53d": {
   "en": "DGR Generative Replay Self-Consolidation",
   "zh": "DGR 生成式回放自我巩固",
   "level": "l2"
  },
  "CAP_142254d8": {
   "en": "Deep Generator Cumulative Distribution Fitting",
   "zh": "深度生成器累积分布拟合",
   "level": "l3"
  },
  "CAP_b3284e79": {
   "en": "Generative Replay Interleaved Self-Consolidation",
   "zh": "生成式回放交替自我巩固",
   "level": "l3"
  },
  "CAP_168baba6": {
   "en": "Linear Kelvin-Voigt Penalty Contact",
   "zh": "线性 Kelvin-Voigt 弹簧-阻尼惩罚接触",
   "level": "l2"
  },
  "CAP_bfdefbcd": {
   "en": "Linear Contact Penetration Acquisition",
   "zh": "线性接触穿透量获取",
   "level": "l3"
  },
  "CAP_8eb3a595": {
   "en": "Linear Spring-Damper Normal Force Computation",
   "zh": "线性弹簧阻尼法向力计算",
   "level": "l3"
  },
  "CAP_afeb4c74": {
   "en": "Contact Force Application To Rigid Body",
   "zh": "接触力施加与刚体动力学积分",
   "level": "l3"
  },
  "CAP_082f45b1": {
   "en": "Contact Separation Detection And Clipping",
   "zh": "接触分离检测与负力截断",
   "level": "l3"
  },
  "CAP_65a99fa4": {
   "en": "Nonlinear Hertz-Hunt-Crossley-LN Contact",
   "zh": "非线性 Hertz-Hunt-Crossley-Lankarani-Nikravesh 粘弹性接触",
   "level": "l2"
  },
  "CAP_0c561a9b": {
   "en": "Hertz Contact Geometry Acquisition",
   "zh": "Hertz 接触几何与穿透量获取",
   "level": "l3"
  },
  "CAP_ff51d409": {
   "en": "Hertz Elastic Stiffness Calibration",
   "zh": "Hertz 弹性刚度标定",
   "level": "l3"
  },
  "CAP_9007ed2e": {
   "en": "Restitution Coefficient Damping Calibration",
   "zh": "恢复系数标定阻尼系数",
   "level": "l3"
  },
  "CAP_87e4de6a": {
   "en": "Hunt-Crossley-LN Nonlinear Force Computation",
   "zh": "Hunt-Crossley/Lankarani-Nikravesh 非线性接触力计算",
   "level": "l3"
  },
  "CAP_fdb4ccdd": {
   "en": "Contact Separation Natural Zeroing",
   "zh": "接触分离自然归零（无需 clipping）",
   "level": "l3"
  },
  "CAP_443e82c4": {
   "en": "Constraint-Solver Parameterized Compliance Contact",
   "zh": "约束求解器参数化柔度接触",
   "level": "l2"
  },
  "CAP_d4d086f6": {
   "en": "Contact Constraint Jacobian Construction",
   "zh": "接触约束 Jacobian 构建",
   "level": "l3"
  },
  "CAP_a5d27de1": {
   "en": "Compliance Parameter Configuration",
   "zh": "柔度参数配置",
   "level": "l3"
  },
  "CAP_02b802b5": {
   "en": "Constraint Solver Iteration For Contact Impulse",
   "zh": "约束求解器迭代求接触冲量",
   "level": "l3"
  },
  "CAP_27b32e79": {
   "en": "Contact Impulse Application And Rigid Body Integration",
   "zh": "接触冲量施加与刚体积分",
   "level": "l3"
  },
  "CAP_891f24d2": {
   "en": "Contact Separation And Active Set Update",
   "zh": "接触分离检测与 active set 更新",
   "level": "l3"
  },
  "CAP_37da2a5f": {
   "en": "Contact Detection and Force Monitoring",
   "zh": "接触检测与力监控",
   "level": "l3"
  },
  "CAP_9f9f3075": {
   "en": "Task-Phase Scheduled Variable Admittance",
   "zh": "任务相位调度型变导纳",
   "level": "l3"
  },
  "CAP_a38f233b": {
   "en": "Contact-Triggered Force-Position Mode Blending",
   "zh": "接触触发力位模式平滑切换",
   "level": "l3"
  },
  "CAP_de89ac24": {
   "en": "Contact Release Force Ramp-Down",
   "zh": "接触释放力渐降",
   "level": "l3"
  },
  "CAP_eabd8950": {
   "en": "Compliant Approach and Contact Initiation",
   "zh": "柔顺接近与接触建立",
   "level": "l3"
  },
  "CAP_f5d4eef3": {
   "en": "Impedance Schedule Design",
   "zh": "阻抗调度设计",
   "level": "l3"
  },
  "CAP_01099745": {
   "en": "Geometric Scan Edge Hole Localization",
   "zh": "几何扫描边缘孔洞定位",
   "level": "l2"
  },
  "CAP_31491a51": {
   "en": "Raster Lissajous Search Trajectory",
   "zh": "光栅李萨如搜索轨迹",
   "level": "l3"
  },
  "CAP_d23a7103": {
   "en": "Edge Detection by Force Discontinuity",
   "zh": "力不连续边缘检测",
   "level": "l3"
  },
  "CAP_c464b16f": {
   "en": "Search Radius Expansion and Convergence",
   "zh": "搜索半径扩展与收敛",
   "level": "l3"
  },
  "CAP_3c9a204c": {
   "en": "Tactile Driven Edge Hole Search",
   "zh": "触觉驱动边缘孔洞搜索",
   "level": "l2"
  },
  "CAP_d410e43f": {
   "en": "Tactile Guided Search Direction",
   "zh": "触觉引导搜索方向决策",
   "level": "l3"
  },
  "CAP_7a7d6037": {
   "en": "Tactile Image Hole Detection",
   "zh": "触觉图像孔检测",
   "level": "l3"
  },
  "CAP_d8780158": {
   "en": "Tactile Image Edge Localization",
   "zh": "触觉图像边缘定位",
   "level": "l3"
  },
  "CAP_3fd03895": {
   "en": "Learning Based Force Search Localization",
   "zh": "学习型力反馈搜索定位",
   "level": "l2"
  },
  "CAP_6559d7b9": {
   "en": "FT History State Encoding",
   "zh": "力反馈历史状态编码",
   "level": "l3"
  },
  "CAP_8205c684": {
   "en": "Search Localization Reward Design",
   "zh": "搜索定位奖励设计",
   "level": "l3"
  },
  "CAP_22d5c347": {
   "en": "Learned Probing Direction Policy",
   "zh": "学习型探测方向策略",
   "level": "l3"
  },
  "CAP_8f0eeeb9": {
   "en": "Learned Search Termination",
   "zh": "学习型搜索终止判定",
   "level": "l3"
  },
  "CAP_a7174feb": {
   "en": "Force Tracking Impedance",
   "zh": "力跟踪阻抗",
   "level": "l3"
  },
  "CAP_6671f15b": {
   "en": "6-Axis Force/Torque Sensing",
   "zh": "六维力感知",
   "level": "l3"
  },
  "CAP_ab43e377": {
   "en": "Gripper Force Control Execution",
   "zh": "夹爪力控执行",
   "level": "l3"
  },
  "CAP_83425a10": {
   "en": "Force-Aware Gripper Closure",
   "zh": "力感知夹爪闭合",
   "level": "l3"
  },
  "CAP_e8659d84": {
   "en": "Force-Controlled Grasping Pipeline",
   "zh": "力控抓取流水线",
   "level": "l2"
  },
  "CAP_5c0aa56c": {
   "en": "Impedance Control Law",
   "zh": "阻抗控制律",
   "level": "l3"
  },
  "CAP_182a2f70": {
   "en": "Force Tracking Correction",
   "zh": "力跟踪修正",
   "level": "l3"
  },
  "CAP_07d84fc7": {
   "en": "Torque Saturation & Safety",
   "zh": "力矩饱和与安全保护",
   "level": "l3"
  },
  "CAP_ea51c0c0": {
   "en": "Gripper Force-Controlled Grasp",
   "zh": "夹爪力控抓取",
   "level": "l3"
  },
  "CAP_5ab529bc": {
   "en": "Tactile Perception",
   "zh": "触觉感知",
   "level": "l2"
  },
  "CAP_fb7f8472": {
   "en": "Slip-Triggered Grip Force Increase",
   "zh": "滑移触发握力增强",
   "level": "l3"
  },
  "CAP_0dd41680": {
   "en": "Reactive Grip Force Regulation",
   "zh": "反应式握力调节",
   "level": "l3"
  },
  "CAP_1dd2d0d5": {
   "en": "Learning-based Tactile MPC",
   "zh": "学习型触觉 MPC",
   "level": "l3"
  },
  "CAP_881f5d97": {
   "en": "Tactile-Based Grasp Stability Prediction",
   "zh": "基于触觉的抓取稳定性预测",
   "level": "l3"
  },
  "CAP_2c2caa73": {
   "en": "Multi-Modal Force-Rich Demonstration Collection",
   "zh": "多模态力觉示教数据采集",
   "level": "l2"
  },
  "CAP_a6f4a75d": {
   "en": "Teleoperation Force-Rich Demonstration Collection",
   "zh": "遥操作力觉示教采集",
   "level": "l3"
  },
  "CAP_f79ce413": {
   "en": "Foundation Model Grasp Image Generation",
   "zh": "基础模型抓握图像生成",
   "level": "l3"
  },
  "CAP_00b6de9b": {
   "en": "Domain-Invariant Visual-Force Representation Encoding",
   "zh": "域不变视觉/力表征编码",
   "level": "l3"
  },
  "CAP_b1fe4c37": {
   "en": "Visual-Force Imitation Learning",
   "zh": "视觉-力觉模仿学习",
   "level": "l3"
  },
  "CAP_3600eeae": {
   "en": "Force-Feedback Target Force Prediction",
   "zh": "力反馈目标力预测",
   "level": "l3"
  },
  "CAP_fb801e82": {
   "en": "Force-Constrained Position Control",
   "zh": "力约束位置控制",
   "level": "l3"
  },
  "CAP_0e3efa9c": {
   "en": "Diffusion Action Policy",
   "zh": "动作扩散策略",
   "level": "l3"
  },
  "CAP_8559ae9a": {
   "en": "HORA RMA In-Hand Rotation Pipeline",
   "zh": "HORA 快速电机自适应手内旋转管线",
   "level": "l2"
  },
  "CAP_c7aac3fd": {
   "en": "HORA Cylinder Simulation Environment",
   "zh": "HORA 圆柱体仿真环境构建",
   "level": "l3"
  },
  "CAP_ae935d11": {
   "en": "HORA Base Policy Joint Training",
   "zh": "HORA Base Policy 联合训练",
   "level": "l3"
  },
  "CAP_2d3220f8": {
   "en": "Proprioceptive Adaptation Module Training",
   "zh": "本体感知适配模块训练",
   "level": "l3"
  },
  "CAP_dbe60802": {
   "en": "Online Proprioceptive Extrinsic Inference",
   "zh": "在线本体感知 Extrinsic 推断",
   "level": "l3"
  },
  "CAP_74f04632": {
   "en": "HORA Allegro Hand Deployment",
   "zh": "HORA Allegro Hand 部署管线",
   "level": "l3"
  },
  "CAP_4a3a391d": {
   "en": "HORA Multi Object Evaluation",
   "zh": "HORA 多物体集合评测",
   "level": "l3"
  },
  "CAP_1bc4d143": {
   "en": "DexTreme VADR Reorientation Pipeline",
   "zh": "DexTreme VADR 手内重定向管线",
   "level": "l2"
  },
  "CAP_a70fd0f2": {
   "en": "DexTreme Isaac Gym Simulation",
   "zh": "DexTreme Isaac Gym 仿真环境",
   "level": "l3"
  },
  "CAP_e2b03d83": {
   "en": "DexTreme Randomization Configuration",
   "zh": "DexTreme 随机化配置",
   "level": "l3"
  },
  "CAP_b8249221": {
   "en": "Omniverse Replicator Image Generation",
   "zh": "Omniverse Replicator 合成图像生成",
   "level": "l3"
  },
  "CAP_0dc290a8": {
   "en": "Mask RCNN Cube Pose Estimation",
   "zh": "Mask-RCNN 立方体位姿估计",
   "level": "l3"
  },
  "CAP_4dc6e1d2": {
   "en": "PPO LSTM Asymmetric Actor Critic",
   "zh": "PPO LSTM 非对称 Actor-Critic 训练",
   "level": "l3"
  },
  "CAP_bf491f62": {
   "en": "Vectorised ADR Multi-Boundary Evaluation",
   "zh": "向量化 ADR 多边界并行评估",
   "level": "l3"
  },
  "CAP_1a59eab4": {
   "en": "Closed Loop Sim-Real Data Feedback",
   "zh": "闭环仿真-真实数据反馈",
   "level": "l3"
  },
  "CAP_4ad1320d": {
   "en": "DexTreme Camera Real World Deployment",
   "zh": "DexTreme 多相机真机部署",
   "level": "l3"
  },
  "CAP_4efb6390": {
   "en": "Dactyl ADR Rubik Cube Pipeline",
   "zh": "Dactyl ADR 魔方解算管线",
   "level": "l2"
  },
  "CAP_140d5a32": {
   "en": "MuJoCo Shadow Hand Cube Simulation",
   "zh": "MuJoCo Shadow Hand 魔方仿真",
   "level": "l3"
  },
  "CAP_00dbc53f": {
   "en": "Shadow Hand Hardware Customization",
   "zh": "Shadow Hand 硬件定制",
   "level": "l3"
  },
  "CAP_05d6132b": {
   "en": "PhaseSpace Fingertip Motion Capture",
   "zh": "PhaseSpace 指尖动捕追踪",
   "level": "l3"
  },
  "CAP_6c598586": {
   "en": "Giiker Smart Cube Face Angle Sensing",
   "zh": "Giiker 智能魔方面角感知",
   "level": "l3"
  },
  "CAP_24a1740d": {
   "en": "ORRB Unity3D Visual Data Generation",
   "zh": "ORRB Unity3D 合成视觉数据生成",
   "level": "l3"
  },
  "CAP_674d4aa5": {
   "en": "CNN Cube Pose Face Angle Estimation",
   "zh": "CNN 魔方位姿面角估计",
   "level": "l3"
  },
  "CAP_f12c8089": {
   "en": "PPO LSTM Emergent Meta-Learning Training",
   "zh": "PPO LSTM 涌现式元学习训练",
   "level": "l3"
  },
  "CAP_01a3ae7b": {
   "en": "Kociemba Rubik Cube Solver Integration",
   "zh": "Kociemba 魔方求解器集成",
   "level": "l3"
  },
  "CAP_ac26dedb": {
   "en": "Shadow Hand Multi-Modal Deployment",
   "zh": "Shadow Hand 多模态部署管线",
   "level": "l3"
  },
  "CAP_f18b9bc9": {
   "en": "Domain Randomization RL Training",
   "zh": "域随机化 RL 训练",
   "level": "l3"
  },
  "CAP_d224b4ff": {
   "en": "Automatic Domain Randomization",
   "zh": "自动域随机化",
   "level": "l3"
  },
  "CAP_266de1cf": {
   "en": "Compliant Mechanism Synthesis",
   "zh": "柔顺机构综合设计",
   "level": "l2"
  },
  "CAP_ccfaf3ca": {
   "en": "PRBM Equivalent Mechanism Modeling",
   "zh": "伪刚体模型等价机构建模",
   "level": "l3"
  },
  "CAP_d789ceac": {
   "en": "SIMP Compliant Mechanism Topology Optimization",
   "zh": "SIMP 柔顺机构拓扑优化",
   "level": "l3"
  },
  "CAP_6cfdddb2": {
   "en": "Flexure Hinge Compliance Calculation",
   "zh": "柔性铰链柔度解析计算",
   "level": "l3"
  },
  "CAP_d23e6947": {
   "en": "Compliant Mechanism Nonlinear FEA Validation",
   "zh": "柔顺机构非线性有限元验证",
   "level": "l3"
  },
  "CAP_d68f6d83": {
   "en": "SEA Mechanical Structure Synthesis",
   "zh": "SEA 机械结构综合设计",
   "level": "l2"
  },
  "CAP_725099af": {
   "en": "SEA Spring Stiffness Trade-off Selection",
   "zh": "SEA 弹簧刚度 K 折中选取",
   "level": "l3"
  },
  "CAP_0ae80722": {
   "en": "SEA Passive Torque Limiting",
   "zh": "SEA 弹性被动限矩",
   "level": "l3"
  },
  "CAP_718b9647": {
   "en": "VSA Mechanical Structure Synthesis",
   "zh": "VSA 机械结构综合设计",
   "level": "l2"
  },
  "CAP_61c7dfbd": {
   "en": "Antagonistic VSA Dynamics Modeling",
   "zh": "拮抗式 VSA 动力学建模",
   "level": "l3"
  },
  "CAP_1722a1ee": {
   "en": "TaskSpaceForceDisplacementSpec",
   "zh": "任务空间力-位移规格化",
   "level": "l3"
  },
  "CAP_bc83bb64": {
   "en": "VSA Prototype Fabrication & Experimental Characterization",
   "zh": "VSA样件制造与实验表征",
   "level": "l3"
  },
  "CAP_17621235": {
   "en": "Procedural Composite Activity Recognition",
   "zh": "程序化组合活动识别",
   "level": "l2"
  },
  "CAP_7a853670": {
   "en": "Procedural Composite Activity Label Inference",
   "zh": "程序化组合活动标签推断",
   "level": "l3"
  },
  "CAP_3e1b732e": {
   "en": "Composite Activity Classification Evaluation",
   "zh": "组合活动分类评测",
   "level": "l3"
  },
  "CAP_9427309d": {
   "en": "Scene Graph Compositional Activity Recognition",
   "zh": "时空场景图组合活动识别",
   "level": "l2"
  },
  "CAP_2f62c587": {
   "en": "Human-Object Detection",
   "zh": "人-物检测",
   "level": "l3"
  },
  "CAP_1614dc27": {
   "en": "Visual Relationship Extraction",
   "zh": "视觉关系抽取",
   "level": "l3"
  },
  "CAP_23312e44": {
   "en": "Spatio-Temporal Scene Graph Construction",
   "zh": "时空场景图构建",
   "level": "l3"
  },
  "CAP_c96380d0": {
   "en": "Graph-Based Compositional Activity Reasoning",
   "zh": "图组合活动推理",
   "level": "l3"
  },
  "CAP_563b9ebf": {
   "en": "Scene Graph Activity Evaluation",
   "zh": "场景图活动评测",
   "level": "l3"
  },
  "CAP_0f00e7f3": {
   "en": "Multi-Label Action Composition Activity Recognition",
   "zh": "多标签动作组合活动识别",
   "level": "l2"
  },
  "CAP_60252054": {
   "en": "Multi-Label Temporal Action Detection",
   "zh": "多标签时序动作检测",
   "level": "l3"
  },
  "CAP_cf6e0a14": {
   "en": "Action Composition Aggregation",
   "zh": "动作组合聚合",
   "level": "l3"
  },
  "CAP_c69d8b0c": {
   "en": "Multi-Label Composite Activity Classification",
   "zh": "多标签组合活动分类",
   "level": "l3"
  },
  "CAP_846315c8": {
   "en": "Multi-Label Action Detection Evaluation",
   "zh": "多标签动作检测评测",
   "level": "l3"
  },
  "CAP_e62a0b93": {
   "en": "LLM Grounded Skill Composition",
   "zh": "LLM 接地技能组合",
   "level": "l2"
  },
  "CAP_f9030982": {
   "en": "Skill Primitive Affordance Training",
   "zh": "技能原语可供性训练",
   "level": "l3"
  },
  "CAP_a7729b4e": {
   "en": "Affordance Grounded Skill Selection",
   "zh": "可供性接地技能选择",
   "level": "l3"
  },
  "CAP_6abb8705": {
   "en": "Iterative Skill Execution And Replanning",
   "zh": "迭代技能执行与重规划",
   "level": "l3"
  },
  "CAP_e586288e": {
   "en": "Skill Prior Latent Composition",
   "zh": "技能先验隐式组合",
   "level": "l2"
  },
  "CAP_6480a0d7": {
   "en": "High Level Skill Latent Policy",
   "zh": "高层技能 latent 策略",
   "level": "l3"
  },
  "CAP_31c50dd3": {
   "en": "Skill Latent Action Decoding",
   "zh": "技能 latent 动作解码",
   "level": "l3"
  },
  "CAP_25c7730c": {
   "en": "Skill Prior Downstream Transfer",
   "zh": "技能先验下游迁移",
   "level": "l3"
  },
  "CAP_ced524a1": {
   "en": "Compositional Multitask Generalization",
   "zh": "组合多任务泛化",
   "level": "l2"
  },
  "CAP_277a8837": {
   "en": "LLM Compositional Task Generation",
   "zh": "LLM 组合任务生成",
   "level": "l3"
  },
  "CAP_3ffd50a5": {
   "en": "Simulation Demonstration Generation",
   "zh": "仿真演示生成",
   "level": "l3"
  },
  "CAP_4083d3d9": {
   "en": "Compositional Multitask Policy Training",
   "zh": "组合多任务策略训练",
   "level": "l3"
  },
  "CAP_0a7eaaea": {
   "en": "Novel Combination Generalization Evaluation",
   "zh": "新组合泛化评估",
   "level": "l3"
  },
  "CAP_bc02a88b": {
   "en": "Bisimulation-based Compositional Verification",
   "zh": "基于互模拟的组合验证",
   "level": "l1"
  },
  "CAP_f0ef0054": {
   "en": "Combined Bisimulation Minimization",
   "zh": "组合互模拟最小化",
   "level": "l2"
  },
  "CAP_5f65c8fa": {
   "en": "LNT Concurrent System Modeling",
   "zh": "LNT 并发系统建模",
   "level": "l3"
  },
  "CAP_9f8e6020": {
   "en": "Multi-module LNT Merge",
   "zh": "多模块 LNT 合并",
   "level": "l3"
  },
  "CAP_d69e6c1f": {
   "en": "LNT to LOTOS Translation",
   "zh": "LNT 到 LOTOS 翻译",
   "level": "l3"
  },
  "CAP_6b216922": {
   "en": "CÆSAR 1 LOTOS-to-C Compiler",
   "zh": "CÆSAR_1 LOTOS 到 C 编译器",
   "level": "l3"
  },
  "CAP_99cd4a62": {
   "en": "BCG LTS Format Read/Write",
   "zh": "BCG LTS 格式读写",
   "level": "l3"
  },
  "CAP_9f5adde8": {
   "en": "Lμ-dsbr+ Formula Fragment",
   "zh": "Lμ-dsbr+ 公式片段",
   "level": "l3"
  },
  "CAP_a3c99f8f": {
   "en": "Sharp Bisimulation Partition",
   "zh": "Sharp 互模拟划分",
   "level": "l3"
  },
  "CAP_eb861617": {
   "en": "Divergence-Preserving Branching Bisimulation",
   "zh": "保留发散的分支互模拟",
   "level": "l3"
  },
  "CAP_c612a923": {
   "en": "Compositional LTS Parallel Composition",
   "zh": "组合式 LTS 并行组合",
   "level": "l3"
  },
  "CAP_3357ac11": {
   "en": "Modal μ-Calculus Model Checking",
   "zh": "模态 μ-演算模型检验",
   "level": "l3"
  },
  "CAP_edec9bb9": {
   "en": "Contract-Based Compositional Verification",
   "zh": "基于合同的组合验证",
   "level": "l1"
  },
  "CAP_5e1d8e22": {
   "en": "OCRA Component Architecture Modeling",
   "zh": "OCRA 组件架构建模",
   "level": "l3"
  },
  "CAP_3eee3674": {
   "en": "Assume-Guarantee Contract Specification",
   "zh": "假设-保证合同规约",
   "level": "l3"
  },
  "CAP_32eeb988": {
   "en": "nuXmv Symbolic Model Checking",
   "zh": "nuXmv 符号模型检验",
   "level": "l3"
  },
  "CAP_e7181f11": {
   "en": "HyCOMP Hybrid System Model Checking",
   "zh": "HyCOMP 混合系统模型检验",
   "level": "l3"
  },
  "CAP_3b7e6f8c": {
   "en": "Contract Implementation Verification",
   "zh": "合同实现验证",
   "level": "l3"
  },
  "CAP_cc169813": {
   "en": "Contract Validation Properties",
   "zh": "合同验证属性",
   "level": "l3"
  },
  "CAP_030af8f0": {
   "en": "Hierarchical Fault Tree from Contracts",
   "zh": "从合同合成层次化故障树",
   "level": "l3"
  },
  "CAP_02723a42": {
   "en": "Contract Refinement Tightening",
   "zh": "合同细化收紧",
   "level": "l3"
  },
  "CAP_299e9d85": {
   "en": "HyDI to nuXmv Discretization",
   "zh": "HyDI 到 nuXmv 离散化",
   "level": "l3"
  },
  "CAP_4969df06": {
   "en": "AutoFOCUS3-OCRA Integration",
   "zh": "AutoFOCUS3-OCRA 集成",
   "level": "l3"
  },
  "CAP_17627928": {
   "en": "Learning-Based Compositional Verification",
   "zh": "基于学习的组合验证",
   "level": "l1"
  },
  "CAP_bb994c6e": {
   "en": "Assumption Learning for AG Reasoning",
   "zh": "AG 推理的假设学习",
   "level": "l2"
  },
  "CAP_4403e66f": {
   "en": "System Under Learning Adapter",
   "zh": "学习对象适配器",
   "level": "l3"
  },
  "CAP_b422f3ae": {
   "en": "L* Active Learning Algorithm",
   "zh": "L* 主动学习算法",
   "level": "l3"
  },
  "CAP_b79f19d6": {
   "en": "TTT Learning Algorithm",
   "zh": "TTT 学习算法",
   "level": "l3"
  },
  "CAP_fedd990f": {
   "en": "Membership Query Oracle",
   "zh": "成员查询预言机",
   "level": "l3"
  },
  "CAP_4db1b268": {
   "en": "Equivalence Query Oracle",
   "zh": "等价查询预言机",
   "level": "l3"
  },
  "CAP_d84550a3": {
   "en": "Wp-Method Test Generation",
   "zh": "Wp-方法测试生成",
   "level": "l3"
  },
  "CAP_c48f7976": {
   "en": "Counterexample Feedback to Learner",
   "zh": "反例反馈给学习器",
   "level": "l3"
  },
  "CAP_03282ab2": {
   "en": "Assume-Guarantee Reasoning with Learned Assumptions",
   "zh": "用学习假设做 AG 推理",
   "level": "l3"
  },
  "CAP_627bc232": {
   "en": "JPF Explicit-State Model Checking",
   "zh": "JPF 显式状态模型检验",
   "level": "l3"
  },
  "CAP_da9a488b": {
   "en": "dtControl Decision Tree Postprocessing",
   "zh": "dtControl 决策树后处理",
   "level": "l3"
  },
  "CAP_8508f74d": {
   "en": "Layered Compiler Verification",
   "zh": "分层编译器验证",
   "level": "l1"
  },
  "CAP_55f8e538": {
   "en": "Semantic Preservation Proof",
   "zh": "语义保持证明",
   "level": "l2"
  },
  "CAP_a1b7e595": {
   "en": "Programming Language Formalization",
   "zh": "编程语言形式化",
   "level": "l3"
  },
  "CAP_7c09549f": {
   "en": "Memory Model Formalization",
   "zh": "内存模型形式化",
   "level": "l3"
  },
  "CAP_0dedbac5": {
   "en": "Compiler Pass Translation Function",
   "zh": "编译器 Pass 翻译函数",
   "level": "l3"
  },
  "CAP_3a8cd9e5": {
   "en": "Backward Simulation Proof",
   "zh": "反向模拟证明",
   "level": "l3"
  },
  "CAP_105bd726": {
   "en": "Structured Simulation (Lock-step/Plus/Star)",
   "zh": "结构化模拟（锁步/Plus/Star）",
   "level": "l3"
  },
  "CAP_a40b2fa8": {
   "en": "Transitivity of Semantic Preservation",
   "zh": "语义保持的传递性",
   "level": "l3"
  },
  "CAP_73c1b8e4": {
   "en": "End-to-End Compiler Soundness Theorem",
   "zh": "端到端编译器可靠性定理",
   "level": "l3"
  },
  "CAP_36f6a9c2": {
   "en": "VST Separation Logic for C",
   "zh": "VST C 程序分离逻辑",
   "level": "l3"
  },
  "CAP_68727c94": {
   "en": "Coq Tactic-based Proof",
   "zh": "Coq 战术式证明",
   "level": "l3"
  },
  "CAP_c54671ae": {
   "en": "Skill Embedding and Prior Learning",
   "zh": "技能嵌入与先验学习",
   "level": "l2"
  },
  "CAP_932fec8c": {
   "en": "Beta-VAE Skill Embedding Training",
   "zh": "Beta-VAE 技能嵌入训练",
   "level": "l3"
  },
  "CAP_b447ff74": {
   "en": "State Conditioned Skill Prior Training",
   "zh": "状态条件技能先验训练",
   "level": "l3"
  },
  "CAP_4af5e05d": {
   "en": "Discovered Skill Downstream Application",
   "zh": "已发现技能下游应用",
   "level": "l2"
  },
  "CAP_56088722": {
   "en": "Closed Loop Skill Decoder Deployment",
   "zh": "闭环技能解码器部署",
   "level": "l3"
  },
  "CAP_1ff65964": {
   "en": "KL Regularized Skill Space RL",
   "zh": "KL 正则化技能空间 RL",
   "level": "l3"
  },
  "CAP_ecf8b673": {
   "en": "Intra-Option Policy Gradient Learning",
   "zh": "Intra-Option 策略梯度学习",
   "level": "l3"
  },
  "CAP_fd80c7df": {
   "en": "Termination Gradient Learning",
   "zh": "终止函数梯度学习",
   "level": "l3"
  },
  "CAP_93a4b2e7": {
   "en": "Policy Over Options Learning",
   "zh": "Option 之上策略学习",
   "level": "l3"
  },
  "CAP_631e0326": {
   "en": "Anytime Solution Quality-Bound Reporting",
   "zh": "随时解质量界报告",
   "level": "l3"
  },
  "CAP_a8f004ed": {
   "en": "Adaptive Neural Compute Allocation",
   "zh": "自适应神经网络计算分配",
   "level": "l2"
  },
  "CAP_359a9e6f": {
   "en": "Early-Exit Dynamic-Depth Routing",
   "zh": "早退与动态深度路由",
   "level": "l3"
  },
  "CAP_e48a3806": {
   "en": "Token Sparsification Pruning",
   "zh": "token稀疏化剪枝",
   "level": "l3"
  },
  "CAP_bca8656d": {
   "en": "Compute-Penalty Regularized Gate Training",
   "zh": "计算代价惩罚门控训练",
   "level": "l3"
  },
  "CAP_7f95a5ee": {
   "en": "Compound-Scaled Model Family Provisioning",
   "zh": "复合缩放模型族供给",
   "level": "l3"
  },
  "CAP_3b706e6b": {
   "en": "Model-based Dynamic Load Compensation",
   "zh": "模型前馈动态载荷补偿",
   "level": "l2"
  },
  "CAP_e0e28549": {
   "en": "Online Rigid Body Dynamics Computation",
   "zh": "在线刚体动力学量计算",
   "level": "l3"
  },
  "CAP_a02e7ced": {
   "en": "Computed Torque Feedforward Law",
   "zh": "计算力矩前馈律",
   "level": "l3"
  },
  "CAP_b690d027": {
   "en": "Feedforward Feedback Torque Composition",
   "zh": "前馈反馈力矩合成与下发",
   "level": "l3"
  },
  "CAP_9aea60cf": {
   "en": "Floating-Base Inverse-Dynamics Whole-Body Control",
   "zh": "浮动基座逆动力学全身控制",
   "level": "l2"
  },
  "CAP_93a549af": {
   "en": "WBC QP Online Solver",
   "zh": "WBC QP 在线求解",
   "level": "l3"
  },
  "CAP_c2162d27": {
   "en": "WBC Torque Resolution",
   "zh": "WBC力矩反解",
   "level": "l3"
  },
  "CAP_d3e51961": {
   "en": "Joint PD Torque Control",
   "zh": "关节PD力矩控制",
   "level": "l3"
  },
  "CAP_fa4747a5": {
   "en": "Task-Space Desired Acceleration Generation",
   "zh": "任务空间期望加速度生成",
   "level": "l3"
  },
  "CAP_0dcc5cfa": {
   "en": "Learning-Based CTC Residual Compensation",
   "zh": "基于学习的CTC残差补偿",
   "level": "l2"
  },
  "CAP_583b2982": {
   "en": "Residual Policy Action Correction",
   "zh": "残差策略动作修正",
   "level": "l3"
  },
  "CAP_ba9a8370": {
   "en": "Adaptive Neural Residual Compensation",
   "zh": "自适应神经残差补偿",
   "level": "l3"
  },
  "CAP_7bf3b0ba": {
   "en": "Gaussian Process Inverse Dynamics Residual Learning",
   "zh": "高斯过程逆动力学残差学习",
   "level": "l3"
  },
  "CAP_61c98ebc": {
   "en": "Residual Superposition with Safety Clipping",
   "zh": "残差叠加与安全限幅",
   "level": "l3"
  },
  "CAP_50024d7b": {
   "en": "Online Residual Model Adaptation",
   "zh": "在线残差模型自适应",
   "level": "l3"
  },
  "CAP_9634e092": {
   "en": "DNN Partition Point Collaborative Inference Decision",
   "zh": "DNN 分割点协同推理决策",
   "level": "l2"
  },
  "CAP_9cc7b7f4": {
   "en": "Layer-wise Latency Energy Profiling",
   "zh": "逐层时延能耗画像",
   "level": "l3"
  },
  "CAP_77d9e3df": {
   "en": "Split Point Cost Evaluation",
   "zh": "分割点代价评估",
   "level": "l3"
  },
  "CAP_b46870ef": {
   "en": "Runtime Adaptive Re-split",
   "zh": "运行时自适应重分割",
   "level": "l3"
  },
  "CAP_aaedcac3": {
   "en": "Three-tier DAG Cost-Optimal Offloading Decision",
   "zh": "三层级 DAG 代价最优卸载决策",
   "level": "l2"
  },
  "CAP_89f5605d": {
   "en": "Task DAG Reconfiguration",
   "zh": "任务 DAG 重配置",
   "level": "l3"
  },
  "CAP_96491aa2": {
   "en": "Three-tier Cost Model",
   "zh": "三层级代价模型",
   "level": "l3"
  },
  "CAP_f27bebc6": {
   "en": "Decoupled Offloading and Resource Optimization",
   "zh": "卸载与资源解耦优化",
   "level": "l3"
  },
  "CAP_33ac7c2a": {
   "en": "DRL-based Dynamic Three-tier Offloading Decision",
   "zh": "DRL 动态三层级卸载决策",
   "level": "l2"
  },
  "CAP_f4de1f79": {
   "en": "Hybrid Action DRL Policy",
   "zh": "混合动作 DRL 策略",
   "level": "l3"
  },
  "CAP_5a018170": {
   "en": "Multi-agent Offloading Coordination",
   "zh": "多 agent 卸载协同",
   "level": "l3"
  },
  "CAP_77237bcc": {
   "en": "Meta-RL Fast Adaptation",
   "zh": "meta-RL 快速适应",
   "level": "l3"
  },
  "CAP_72196d5d": {
   "en": "Compute-Optimal Scaling Law Analysis",
   "zh": "计算最优缩放定律分析",
   "level": "l2"
  },
  "CAP_817d12a6": {
   "en": "IsoFLOP Sweep Grid Generation",
   "zh": "IsoFLOP扫描网格生成",
   "level": "l3"
  },
  "CAP_b5e30e03": {
   "en": "Scaling Law Loss Landscape Fitting",
   "zh": "缩放定律损失景观拟合",
   "level": "l3"
  },
  "CAP_92a79be9": {
   "en": "Compute-Optimal Allocation Derivation",
   "zh": "计算最优分配推导",
   "level": "l3"
  },
  "CAP_b2ed8d3e": {
   "en": "Robot Data Scaling Law Fitting",
   "zh": "机器人数据缩放幂律拟合",
   "level": "l3"
  },
  "CAP_79adff19": {
   "en": "Compute-Efficient Training Recipe Configuration",
   "zh": "计算高效训练配方配置",
   "level": "l2"
  },
  "CAP_fa3e3273": {
   "en": "MuP Model Parameterization",
   "zh": "MuP模型参数化",
   "level": "l3"
  },
  "CAP_eb2041ca": {
   "en": "Small-Model HP Search via MuTransfer",
   "zh": "小模型代理超参搜索与迁移",
   "level": "l3"
  },
  "CAP_505b18d8": {
   "en": "Coordinate Check Verification",
   "zh": "协调性检查验证",
   "level": "l3"
  },
  "CAP_1ccd51a5": {
   "en": "Compute-Aware Batch/LR Scaling Configuration",
   "zh": "计算感知Batch/LR缩放配置",
   "level": "l3"
  },
  "CAP_706c81ab": {
   "en": "Compute-Optimal Pretraining-Finetuning Split & Adaptation",
   "zh": "计算最优预训练-微调切分与适配",
   "level": "l2"
  },
  "CAP_773fe3f3": {
   "en": "Pretraining-Finetuning Compute Budget Split",
   "zh": "预训练-微调算力预算切分",
   "level": "l3"
  },
  "CAP_fd7c246a": {
   "en": "Compute-Optimal Adaptation Allocation",
   "zh": "计算最优适配分配",
   "level": "l3"
  },
  "CAP_0e5bf917": {
   "en": "Fine-Tuning Compute Efficiency Profiling",
   "zh": "微调算力效率画像",
   "level": "l3"
  },
  "CAP_410d10a5": {
   "en": "Symbolic Ontology Semantic Memory Update",
   "zh": "符号本体语义记忆更新",
   "level": "l2"
  },
  "CAP_d59462ba": {
   "en": "OBDA Symbol Mapping",
   "zh": "OBDA 符号映射",
   "level": "l3"
  },
  "CAP_b60842ec": {
   "en": "Contextualized Triple Assertion",
   "zh": "上下文三元组断言",
   "level": "l3"
  },
  "CAP_e49f5cff": {
   "en": "Situation Conflict Detection and Resolution",
   "zh": "情境冲突检测与消解",
   "level": "l3"
  },
  "CAP_b8f83582": {
   "en": "Zettelkasten Self-Organizing Semantic Memory",
   "zh": "Zettelkasten 自组织语义记忆",
   "level": "l2"
  },
  "CAP_5ff0496d": {
   "en": "Zettelkasten Note Generation",
   "zh": "Zettelkasten 笔记生成",
   "level": "l3"
  },
  "CAP_28001830": {
   "en": "Memory Link Generation",
   "zh": "记忆链接生成",
   "level": "l3"
  },
  "CAP_fa04d8a0": {
   "en": "Memory Evolution Update",
   "zh": "记忆进化更新",
   "level": "l3"
  },
  "CAP_3febf9f6": {
   "en": "Memory Evolution",
   "zh": "记忆进化",
   "level": "l3"
  },
  "CAP_72901ed9": {
   "en": "Fact-Level Memory Conflict Resolution",
   "zh": "事实级记忆冲突消解",
   "level": "l3"
  },
  "CAP_b2a00248": {
   "en": "Fact Conflict Adjudication",
   "zh": "事实冲突裁决",
   "level": "l3"
  },
  "CAP_6f037694": {
   "en": "Structured Memory Operation Application",
   "zh": "结构化记忆操作应用",
   "level": "l3"
  },
  "CAP_20213cc4": {
   "en": "Fact Extraction and Candidate Generation",
   "zh": "事实抽取与候选生成",
   "level": "l2"
  },
  "CAP_44cee0fe": {
   "en": "Similar Memory Retrieval",
   "zh": "相似记忆检索",
   "level": "l2"
  },
  "CAP_61b25eb4": {
   "en": "Conflict Adjudication and Operation Execution",
   "zh": "冲突裁决与操作执行",
   "level": "l2"
  },
  "CAP_fe0c17a2": {
   "en": "Structured Memory Operation",
   "zh": "结构化记忆操作",
   "level": "l3"
  },
  "CAP_e6fbfbd9": {
   "en": "MAPF Time-Extended Graph Construction",
   "zh": "MAPF 时空图实例化",
   "level": "l3"
  },
  "CAP_57374983": {
   "en": "MAPF Joint Plan Time-Step Dispatch",
   "zh": "MAPF 联合计划时分发",
   "level": "l3"
  },
  "CAP_34c7bd09": {
   "en": "FOND Strong-Cyclic Policy Synthesis",
   "zh": "FOND 强循环策略离线合成",
   "level": "l2"
  },
  "CAP_066d0142": {
   "en": "FOND PDDL Non-deterministic Domain Modeling",
   "zh": "FOND PDDL 非确定域建模",
   "level": "l3"
  },
  "CAP_0f982531": {
   "en": "Just-in-Case Search and Relevant State Retention",
   "zh": "JIC 搜索与相关状态保留",
   "level": "l3"
  },
  "CAP_af3b4874": {
   "en": "Strong Cyclic Solution Validation",
   "zh": "强循环解验证",
   "level": "l3"
  },
  "CAP_8305ffb2": {
   "en": "Deadend Detection and Generalization",
   "zh": "Deadend 检测与推广",
   "level": "l3"
  },
  "CAP_243bf2af": {
   "en": "FOND Policy Graph Serialization",
   "zh": "FOND 策略图序列化输出",
   "level": "l3"
  },
  "CAP_c37a354f": {
   "en": "FOND Replanning and Local Recovery",
   "zh": "FOND 意外状态重规划与局部恢复",
   "level": "l3"
  },
  "CAP_00069bbb": {
   "en": "PLEXIL Lifecycle Condition Gating",
   "zh": "PLEXIL 生命周期条件门控",
   "level": "l2"
  },
  "CAP_ed08e20c": {
   "en": "Tick Polling Reactive Condition Monitoring",
   "zh": "Tick 轮询反应式条件监控",
   "level": "l2"
  },
  "CAP_6a22e5e3": {
   "en": "Reactive BT Safety Gating",
   "zh": "反应式 BT 安全门控",
   "level": "l3"
  },
  "CAP_d466f64d": {
   "en": "BT Action/Condition Leaf Patterns",
   "zh": "BT 动作/条件叶子模式",
   "level": "l3"
  },
  "CAP_d760e134": {
   "en": "PDDL-based Capability Reasoning",
   "zh": "PDDL 能力推理",
   "level": "l3"
  },
  "CAP_dea73100": {
   "en": "Conditional Instruction Handling",
   "zh": "条件指令处理",
   "level": "l2"
  },
  "CAP_7314dff2": {
   "en": "Perception API Condition Evaluation",
   "zh": "感知 API 条件评估",
   "level": "l3"
  },
  "CAP_cc216ea3": {
   "en": "Control Primitive Branch Execution",
   "zh": "控制原语分支执行",
   "level": "l3"
  },
  "CAP_1ae9b3f4": {
   "en": "PDDL Conditional Effects Modeling",
   "zh": "PDDL条件效应建模",
   "level": "l3"
  },
  "CAP_b04cacbe": {
   "en": "Condition Instruction BT Compilation",
   "zh": "条件指令行为树编译",
   "level": "l3"
  },
  "CAP_2d7809f3": {
   "en": "BT XML Condition Structure Generation",
   "zh": "BT XML条件结构生成",
   "level": "l3"
  },
  "CAP_b8db3647": {
   "en": "Blackboard Event-driven Condition Monitoring",
   "zh": "黑板事件驱动条件监控",
   "level": "l3"
  },
  "CAP_87ff19d4": {
   "en": "Condition Instruction PLEXIL Plan Encoding",
   "zh": "条件指令PLEXIL计划编码",
   "level": "l3"
  },
  "CAP_0e37ddf2": {
   "en": "PLEXIL Plan Visual Debugging",
   "zh": "PLEXIL计划可视化调试",
   "level": "l3"
  },
  "CAP_b5b60a35": {
   "en": "Declarative Conditional Branch",
   "zh": "声明式条件分支",
   "level": "l2"
  },
  "CAP_63ff28ef": {
   "en": "ASL State Machine Declaration",
   "zh": "ASL 状态机声明",
   "level": "l3"
  },
  "CAP_d6e15523": {
   "en": "ASL Data Path Filtering",
   "zh": "ASL 数据路径过滤",
   "level": "l3"
  },
  "CAP_53413bf6": {
   "en": "ASL Choice Rule Evaluation",
   "zh": "ASL Choice 规则声明与求值",
   "level": "l3"
  },
  "CAP_e308346a": {
   "en": "Conductor Switch Task",
   "zh": "Conductor SWITCH 任务",
   "level": "l3"
  },
  "CAP_80d5f0c6": {
   "en": "Workflow Core Conditional Branch",
   "zh": "Workflow Core 条件分支",
   "level": "l3"
  },
  "CAP_93b56011": {
   "en": "Graph Conditional Routing",
   "zh": "图节点条件路由",
   "level": "l2"
  },
  "CAP_78b10594": {
   "en": "LangGraph Conditional Edges",
   "zh": "LangGraph 条件边单值路由",
   "level": "l3"
  },
  "CAP_20db909d": {
   "en": "Airflow BranchPythonOperator",
   "zh": "Airflow BranchPythonOperator 条件分支",
   "level": "l3"
  },
  "CAP_2335b6aa": {
   "en": "Kestra Switch Task",
   "zh": "Kestra switch 任务",
   "level": "l3"
  },
  "CAP_4f46504d": {
   "en": "BT.CPP Reactive Nodes",
   "zh": "BT.CPP Reactive 节点机制",
   "level": "l3"
  },
  "CAP_5bac6660": {
   "en": "Nav2 BT Condition Nodes",
   "zh": "Nav2 BT 条件节点集",
   "level": "l3"
  },
  "CAP_ea88478c": {
   "en": "Validation Split Calibration Data Extraction",
   "zh": "验证集校准数据提取",
   "level": "l3"
  },
  "CAP_a9f21294": {
   "en": "Logit Scaling Optimization",
   "zh": "Logit 缩放温度参数优化",
   "level": "l3"
  },
  "CAP_0c7e7345": {
   "en": "Expected Calibration Error Evaluation",
   "zh": "预期校准误差与性能评估",
   "level": "l3"
  },
  "CAP_e46edcf3": {
   "en": "Conformal Prediction Calibration",
   "zh": "共形预测校准",
   "level": "l2"
  },
  "CAP_b2096a45": {
   "en": "Human Intervention Gating",
   "zh": "人类干预交互门控",
   "level": "l3"
  },
  "CAP_80f9a59c": {
   "en": "Verbalized Confidence Prompting",
   "zh": "语言化置信度提示组装",
   "level": "l3"
  },
  "CAP_452a9835": {
   "en": "P(True) Logit Extraction",
   "zh": "P(True) 节点概率提取",
   "level": "l3"
  },
  "CAP_a081d528": {
   "en": "Verbalized Score Parsing",
   "zh": "语言化得分文本解析",
   "level": "l3"
  },
  "CAP_3d120e9b": {
   "en": "Uncertainty Visualization",
   "zh": "不确定性可视化",
   "level": "l1"
  },
  "CAP_a33dbbd0": {
   "en": "VLA Self-Confidence Capability Disclosure",
   "zh": "VLA 自评估置信度能力披露流水线",
   "level": "l2"
  },
  "CAP_290c3991": {
   "en": "Explicit Confidence Indicator",
   "zh": "显式置信度指示器可视化",
   "level": "l2"
  },
  "CAP_8db79e46": {
   "en": "LLM Language Disclosure Pipeline",
   "zh": "LLM 语言披露流水线",
   "level": "l2"
  },
  "CAP_61f97b70": {
   "en": "Uncertainty Color Mapping",
   "zh": "不确定性颜色映射",
   "level": "l3"
  },
  "CAP_8b35ce81": {
   "en": "Uncertainty Threshold Alert",
   "zh": "不确定性阈值告警",
   "level": "l3"
  },
  "CAP_77a67ea0": {
   "en": "VLA Inference Confidence Acquisition",
   "zh": "VLA 推理置信度采集",
   "level": "l3"
  },
  "CAP_feea3317": {
   "en": "Uncertainty Data Subscription",
   "zh": "不确定性数据订阅与坐标变换",
   "level": "l3"
  },
  "CAP_42cb0351": {
   "en": "Uncertainty Scalar Level Mapping",
   "zh": "不确定性标量等级映射",
   "level": "l3"
  },
  "CAP_3367da24": {
   "en": "Confidence Color-Coded Indicator",
   "zh": "置信度颜色编码指示器",
   "level": "l3"
  },
  "CAP_b3e0a576": {
   "en": "Confidence Gauge Rendering",
   "zh": "置信度仪表/进度条渲染",
   "level": "l3"
  },
  "CAP_c1b1ba24": {
   "en": "Verbalized Confidence Reasoning",
   "zh": "语言化置信度推理",
   "level": "l3"
  },
  "CAP_2bbe380f": {
   "en": "Action Plan and Execution Feedback Capture",
   "zh": "行动计划与执行反馈采集",
   "level": "l3"
  },
  "CAP_85ddb404": {
   "en": "Uncertainty Attribution",
   "zh": "不确定性归因",
   "level": "l3"
  },
  "CAP_607d3ec3": {
   "en": "Calibration Error Assessment",
   "zh": "校准误差评估",
   "level": "l3"
  },
  "CAP_5b95489f": {
   "en": "Geometric C-Space Planning",
   "zh": "几何构型空间规划",
   "level": "l2"
  },
  "CAP_360b9db2": {
   "en": "Geometric Modeling",
   "zh": "几何建模",
   "level": "l3"
  },
  "CAP_2388d7f1": {
   "en": "Minkowski Sum C-Obstacle Construction",
   "zh": "闵可夫斯基和 C-障碍物构造",
   "level": "l3"
  },
  "CAP_a9b82132": {
   "en": "Free Space Construction",
   "zh": "自由空间构造",
   "level": "l3"
  },
  "CAP_63768ea8": {
   "en": "Visibility Graph Construction",
   "zh": "可见性图构造",
   "level": "l3"
  },
  "CAP_6c19c789": {
   "en": "Voronoi Roadmap Generation",
   "zh": "Voronoi 路线图生成",
   "level": "l3"
  },
  "CAP_78cfedb4": {
   "en": "Nearest-Neighbor Query",
   "zh": "最近邻查询",
   "level": "l3"
  },
  "CAP_259075c9": {
   "en": "Roadmap Shortest-Path Search",
   "zh": "路线图最短路径搜索",
   "level": "l3"
  },
  "CAP_3f681418": {
   "en": "Trajectory Optimization Constrained Planning",
   "zh": "轨迹优化基约束运动规划",
   "level": "l2"
  },
  "CAP_3392ee66": {
   "en": "Signed Distance Field Collision Cost",
   "zh": "符号距离场障碍代价评估",
   "level": "l3"
  },
  "CAP_780f8e3f": {
   "en": "Learning-Augmented Neural Planning",
   "zh": "学习增强神经运动规划",
   "level": "l2"
  },
  "CAP_b970beae": {
   "en": "Neural Obstacle Embedding",
   "zh": "神经障碍物嵌入",
   "level": "l3"
  },
  "CAP_d2c55725": {
   "en": "Neural Bidirectional Path Generation",
   "zh": "神经双向路径生成",
   "level": "l3"
  },
  "CAP_033ab545": {
   "en": "Learning-Guided Sampling Distribution",
   "zh": "学习引导采样分布",
   "level": "l3"
  },
  "CAP_963cdb13": {
   "en": "Neural-Classical Hybrid Replanning",
   "zh": "神经-经典混合重规划",
   "level": "l3"
  },
  "CAP_d9e8b56c": {
   "en": "Diffusion-Based Trajectory Generation",
   "zh": "扩散式轨迹生成",
   "level": "l3"
  },
  "CAP_fc581b9e": {
   "en": "FCL Distance and Clearance Query",
   "zh": "FCL距离与间隙查询",
   "level": "l3"
  },
  "CAP_46dc3326": {
   "en": "ROS2 Parameter Service Hot Reload",
   "zh": "ROS2参数服务热更新",
   "level": "l2"
  },
  "CAP_714fb370": {
   "en": "Typed Parameter Declaration",
   "zh": "类型化参数声明",
   "level": "l3"
  },
  "CAP_c66bd8b6": {
   "en": "Parameter Change Validation Callback",
   "zh": "参数变更校验回调",
   "level": "l3"
  },
  "CAP_4dc06021": {
   "en": "Parameter Service Auto Exposure",
   "zh": "参数服务自动暴露",
   "level": "l3"
  },
  "CAP_b2766e10": {
   "en": "Parameter Event Broadcast",
   "zh": "参数事件广播",
   "level": "l3"
  },
  "CAP_cc9dbdd0": {
   "en": "Declarative xDS Config Source Definition",
   "zh": "声明式xDS配置源定义",
   "level": "l3"
  },
  "CAP_d7dc17e2": {
   "en": "xDS Config Translation and Distribution",
   "zh": "xDS配置翻译与流式下发",
   "level": "l2"
  },
  "CAP_ceeb65d8": {
   "en": "xDS ACK/NACK Confirmation",
   "zh": "xDS ACK/NACK确认机制",
   "level": "l3"
  },
  "CAP_f0f6193d": {
   "en": "Envoy Data Plane Config Hot Apply",
   "zh": "Envoy数据面配置热应用",
   "level": "l3"
  },
  "CAP_30868960": {
   "en": "File-Signal Daemon Hot Reload",
   "zh": "文件信号守护进程热重载",
   "level": "l2"
  },
  "CAP_cf8ca832": {
   "en": "Config File inotify Watch",
   "zh": "配置文件inotify监听",
   "level": "l3"
  },
  "CAP_c10b602d": {
   "en": "SIGHUP Signal-Triggered Reload",
   "zh": "SIGHUP信号触发重载",
   "level": "l3"
  },
  "CAP_5e4206fc": {
   "en": "Master-Worker Graceful Replacement",
   "zh": "Master-Worker进程级平滑替换",
   "level": "l3"
  },
  "CAP_e6bc97ed": {
   "en": "In-Process Config Re-apply",
   "zh": "进程内配置重应用",
   "level": "l3"
  },
  "CAP_21f0cd82": {
   "en": "Kubernetes ConfigMap Volume Hot Reload",
   "zh": "K8s ConfigMap卷同步热更新",
   "level": "l2"
  },
  "CAP_8bd04edc": {
   "en": "ConfigMap Volume Mount Declaration",
   "zh": "ConfigMap卷挂载声明",
   "level": "l3"
  },
  "CAP_c5bd33b6": {
   "en": "kubelet Config Sync Detection",
   "zh": "kubelet配置同步检测",
   "level": "l3"
  },
  "CAP_55178a88": {
   "en": "Volume Atomic Symlink Swap",
   "zh": "卷内容原子符号链接更新",
   "level": "l3"
  },
  "CAP_72ba783d": {
   "en": "App-Side inotify Volume Hot Reload",
   "zh": "应用侧inotify卷文件热加载",
   "level": "l3"
  },
  "CAP_c963c821": {
   "en": "Reloader Controller Watch and Rollout Trigger",
   "zh": "Reloader控制器监听触发rollout",
   "level": "l3"
  },
  "CAP_2e872f19": {
   "en": "Schema-as-Code Configuration Language Pipeline",
   "zh": "配置语言内嵌 schema 管线",
   "level": "l2"
  },
  "CAP_61f755cf": {
   "en": "CUE Schema Definition and Unification",
   "zh": "CUE schema 定义与并合",
   "level": "l3"
  },
  "CAP_1fc97473": {
   "en": "KCL Schema and Check Constraint",
   "zh": "KCL schema 与 check 约束",
   "level": "l3"
  },
  "CAP_575e68e9": {
   "en": "HCL Go Struct Tag Decoding",
   "zh": "HCL Go 结构体标签解码",
   "level": "l3"
  },
  "CAP_2bc6a3be": {
   "en": "NixOS mkOption Type System",
   "zh": "NixOS mkOption 类型系统",
   "level": "l3"
  },
  "CAP_503bbbad": {
   "en": "Schema-as-Data Validation Pipeline",
   "zh": "元数据驱动校验管线",
   "level": "l2"
  },
  "CAP_23d3f948": {
   "en": "JSON Schema Document Validation",
   "zh": "JSON Schema 文档校验",
   "level": "l3"
  },
  "CAP_7161f0f7": {
   "en": "Pydantic BaseModel Data Validation",
   "zh": "Pydantic BaseModel 数据验证",
   "level": "l3"
  },
  "CAP_1b7bb6df": {
   "en": "pydantic-settings Environment Config Loading",
   "zh": "pydantic-settings 环境配置加载",
   "level": "l3"
  },
  "CAP_7515728a": {
   "en": "Cerberus Lightweight Dict Validation",
   "zh": "Cerberus 轻量 dict 校验",
   "level": "l3"
  },
  "CAP_99c168a8": {
   "en": "Robot Domain-Specific Description Format Pipeline",
   "zh": "机器人领域专用描述格式管线",
   "level": "l2"
  },
  "CAP_d63ddeda": {
   "en": "URDF XML Kinematic Model Parsing",
   "zh": "URDF XML 运动学模型解析",
   "level": "l3"
  },
  "CAP_939ddc1f": {
   "en": "dynamic reconfigure Runtime Parameter Adjustment",
   "zh": "dynamic_reconfigure 运行时参数调整",
   "level": "l3"
  },
  "CAP_c4bed404": {
   "en": "generate parameter library Parameter Code Generation",
   "zh": "generate_parameter_library 参数代码生成",
   "level": "l3"
  },
  "CAP_a69972d0": {
   "en": "Centralized Vault Runtime Pull",
   "zh": "集中式 Vault 运行时拉取",
   "level": "l2"
  },
  "CAP_3eb33135": {
   "en": "Vault KV Secret Store",
   "zh": "Vault KV 静态密钥存储",
   "level": "l3"
  },
  "CAP_4df162f9": {
   "en": "Vault AppRole Authentication",
   "zh": "Vault AppRole 机器身份认证",
   "level": "l3"
  },
  "CAP_5cf2658b": {
   "en": "Vault Kubernetes Auth",
   "zh": "Vault Kubernetes ServiceAccount 认证",
   "level": "l3"
  },
  "CAP_17bade2d": {
   "en": "Vault Lease Renewal and Revocation",
   "zh": "Vault 租约续期与自动吊销",
   "level": "l3"
  },
  "CAP_3cf4612a": {
   "en": "Vault Audit Logging",
   "zh": "Vault 审计日志",
   "level": "l3"
  },
  "CAP_538b2389": {
   "en": "Vault Dynamic Secret Issuance",
   "zh": "Vault 动态密钥按需签发",
   "level": "l3"
  },
  "CAP_82e7960f": {
   "en": "SOPS Encrypted GitOps",
   "zh": "SOPS 加密入仓 GitOps",
   "level": "l2"
  },
  "CAP_4c57942d": {
   "en": "SOPS Value Encryption",
   "zh": "SOPS 只加密 value 保留 key 明文",
   "level": "l3"
  },
  "CAP_fb2b856e": {
   "en": "SOPS Creation Rules",
   "zh": "SOPS creation_rules 路径匹配加密后端",
   "level": "l3"
  },
  "CAP_e59824a5": {
   "en": "SOPS Age Backend",
   "zh": "SOPS age 加密后端",
   "level": "l3"
  },
  "CAP_61800bd5": {
   "en": "SOPS KMS Backend",
   "zh": "SOPS KMS 加密后端",
   "level": "l3"
  },
  "CAP_8eb662b0": {
   "en": "ArgoCD KSOPS Decrypt",
   "zh": "ArgoCD KSOPS plugin 解密",
   "level": "l3"
  },
  "CAP_6bff8d96": {
   "en": "FluxCD SOPS Decrypt",
   "zh": "FluxCD 内置 SOPS 解密",
   "level": "l3"
  },
  "CAP_42247a4b": {
   "en": "K8s External Secrets Operator Sync",
   "zh": "K8s 外部密钥 Operator 同步",
   "level": "l2"
  },
  "CAP_0109b55e": {
   "en": "ESO SecretStore CRD Declaration",
   "zh": "ESO SecretStore 外部存储声明",
   "level": "l3"
  },
  "CAP_8af6f3e4": {
   "en": "ESO ExternalSecret Sync",
   "zh": "ESO ExternalSecret 同步为 K8s Secret",
   "level": "l3"
  },
  "CAP_8621f50e": {
   "en": "ESO Vault Provider",
   "zh": "ESO Vault provider 适配",
   "level": "l3"
  },
  "CAP_1b161bc7": {
   "en": "ESO AWS Secrets Manager Provider",
   "zh": "ESO AWS Secrets Manager provider 适配",
   "level": "l3"
  },
  "CAP_ef3edfa9": {
   "en": "ESO Refresh Status Observation",
   "zh": "ESO refreshInterval 同步状态观测",
   "level": "l3"
  },
  "CAP_fef0db71": {
   "en": "ESO PushSecret Reverse Sync",
   "zh": "ESO PushSecret 反向同步",
   "level": "l3"
  },
  "CAP_93d3fced": {
   "en": "ESO Generator Dynamic Credential",
   "zh": "ESO generator 动态凭证生成",
   "level": "l3"
  },
  "CAP_fe1b3738": {
   "en": "Secret Leak Scanning Pipeline",
   "zh": "密钥泄漏检测流水线",
   "level": "l2"
  },
  "CAP_04f2c9e2": {
   "en": "Detect-secrets Baseline Incremental Scan",
   "zh": "detect-secrets baseline-first 增量扫描",
   "level": "l3"
  },
  "CAP_1e06883a": {
   "en": "Detect-secrets Audit True/False Positive",
   "zh": "detect-secrets audit 真假阳性标注",
   "level": "l3"
  },
  "CAP_0f967a8c": {
   "en": "TruffleHog Verified Detection",
   "zh": "TruffleHog 主动验证判活",
   "level": "l3"
  },
  "CAP_de27ed9b": {
   "en": "Secret Scanning Pre-commit Hook",
   "zh": "密钥扫描 pre-commit hook 阻断",
   "level": "l3"
  },
  "CAP_a032058f": {
   "en": "Secret Scanning CI Baseline Gate",
   "zh": "密钥扫描 CI baseline 门禁",
   "level": "l3"
  },
  "CAP_ba2523b9": {
   "en": "Git History Secret Scan",
   "zh": "Git 历史密钥扫描",
   "level": "l3"
  },
  "CAP_6db2a076": {
   "en": "Finding Aggregation and Dedup DefectDojo",
   "zh": "Finding 聚合与去重 DefectDojo",
   "level": "l3"
  },
  "CAP_4b1102a0": {
   "en": "URDF/SRDF Load-Time Validation",
   "zh": "URDF/SRDF 加载期校验",
   "level": "l2"
  },
  "CAP_20e32a95": {
   "en": "XACRO Macro Expansion Validation",
   "zh": "XACRO 宏展开校验",
   "level": "l3"
  },
  "CAP_422500dc": {
   "en": "URDF XML Parse & Structure Validation",
   "zh": "URDF XML 解析与结构校验",
   "level": "l3"
  },
  "CAP_46f3c7e2": {
   "en": "URDF Joint Type & Limit Semantic Validation",
   "zh": "URDF 关节类型与限位语义校验",
   "level": "l3"
  },
  "CAP_4a6d1909": {
   "en": "URDF Kinematic Tree & Root Validation",
   "zh": "URDF 运动学树与根链校验",
   "level": "l3"
  },
  "CAP_a37858cc": {
   "en": "SRDF Semantic Configuration Validation",
   "zh": "SRDF 语义配置校验",
   "level": "l3"
  },
  "CAP_021e45d0": {
   "en": "ROS2 Parameter Declaration & On-Set Validation",
   "zh": "ROS2 参数声明与变更校验",
   "level": "l2"
  },
  "CAP_567e8c5e": {
   "en": "ROS2 Parameter Declaration & Type Validation",
   "zh": "ROS2 参数声明与类型校验",
   "level": "l3"
  },
  "CAP_1aad29b3": {
   "en": "ROS2 Parameter Range Constraint Validation",
   "zh": "ROS2 参数范围约束校验",
   "level": "l3"
  },
  "CAP_9760a4ad": {
   "en": "Nav2 Lifecycle Parameter Gating",
   "zh": "Nav2 生命周期参数门控",
   "level": "l3"
  },
  "CAP_5be9d530": {
   "en": "Schema-Driven Config File Validation at Boot",
   "zh": "Schema 驱动配置文件加载期校验",
   "level": "l2"
  },
  "CAP_ce6ddc0b": {
   "en": "Pydantic Type Annotation Validation",
   "zh": "Pydantic 类型注解校验",
   "level": "l3"
  },
  "CAP_4dd23622": {
   "en": "JSON Schema Instance Validation",
   "zh": "JSON Schema 实例校验",
   "level": "l3"
  },
  "CAP_9ff7116e": {
   "en": "Config Cross-Field Constraint Validation",
   "zh": "配置跨字段约束校验",
   "level": "l3"
  },
  "CAP_835a6867": {
   "en": "Boot-Time Validation Failure Interception",
   "zh": "启动期校验失败拦截",
   "level": "l3"
  },
  "CAP_0d986988": {
   "en": "Git Repository Versioning Tracking",
   "zh": "Git 仓库版本化追踪",
   "level": "l2"
  },
  "CAP_fd0ac9f6": {
   "en": "Git Reverse Commit Rollback",
   "zh": "Git 反向提交回退",
   "level": "l3"
  },
  "CAP_b73376ad": {
   "en": "GitOps Desired State Synchronization",
   "zh": "GitOps 期望状态同步",
   "level": "l3"
  },
  "CAP_6f7dfaee": {
   "en": "GitOps Sync History Rollback",
   "zh": "GitOps 同步历史回滚",
   "level": "l3"
  },
  "CAP_b6e16228": {
   "en": "Git Tag Release Versioning",
   "zh": "Git 标签发布版本管理",
   "level": "l3"
  },
  "CAP_cfcf9bf4": {
   "en": "Git Branch Multi-Version Isolation",
   "zh": "Git 分支多版本隔离",
   "level": "l3"
  },
  "CAP_54bb2494": {
   "en": "Webhook Triggered Sync",
   "zh": "Webhook 触发同步",
   "level": "l3"
  },
  "CAP_55f3a4d4": {
   "en": "Declarative Generation Build",
   "zh": "声明式代际构建",
   "level": "l3"
  },
  "CAP_d00d52ad": {
   "en": "Generation History Listing and GC",
   "zh": "代际历史列举与垃圾回收",
   "level": "l3"
  },
  "CAP_4985e0a0": {
   "en": "Reproducible Build Locking",
   "zh": "可复现构建锁定",
   "level": "l3"
  },
  "CAP_f91e7bc5": {
   "en": "User-Level Generation Management",
   "zh": "用户级代际管理",
   "level": "l3"
  },
  "CAP_132e7f4d": {
   "en": "Content-Addressed Incremental Object Pull",
   "zh": "内容寻址增量对象拉取",
   "level": "l3"
  },
  "CAP_089a50f1": {
   "en": "OSTree Commit History Diff Query",
   "zh": "OSTree 提交历史差异查询",
   "level": "l3"
  },
  "CAP_13f98334": {
   "en": "OSTree Atomic Deployment Rollback Orchestration",
   "zh": "OSTree 原子部署回滚编排",
   "level": "l2"
  },
  "CAP_29d94c85": {
   "en": "Deployment Assembly and Etc Three-Way Merge",
   "zh": "Deployment 组装与 /etc 三向合并",
   "level": "l3"
  },
  "CAP_5d331363": {
   "en": "N-Version Deployment History and Rollback",
   "zh": "N 版本 Deployment 历史与回滚",
   "level": "l3"
  },
  "CAP_527213f5": {
   "en": "Boot Success Mark and Deployment Confirmation",
   "zh": "启动成功标记与 Deployment 确认",
   "level": "l3"
  },
  "CAP_7d339cfc": {
   "en": "BLS Boot Loader Entry Generation",
   "zh": "BLS 启动条目生成",
   "level": "l3"
  },
  "CAP_ad612059": {
   "en": "GPG Signed Commit Integrity Verification",
   "zh": "GPG 签名 Commit 完整性验证",
   "level": "l3"
  },
  "CAP_68328fbb": {
   "en": "Config MVCC Revision Recording",
   "zh": "配置变更 MVCC 修订号记录",
   "level": "l3"
  },
  "CAP_637eefb0": {
   "en": "Config History Revision Query",
   "zh": "配置历史修订号查询",
   "level": "l3"
  },
  "CAP_571b3a39": {
   "en": "Config Version Rollback Recovery",
   "zh": "配置版本回滚恢复",
   "level": "l3"
  },
  "CAP_7226b1b5": {
   "en": "Grayscale Release Versioning",
   "zh": "灰度发布版本管理",
   "level": "l3"
  },
  "CAP_c56e0fea": {
   "en": "Config Change Audit Log",
   "zh": "配置变更审计日志",
   "level": "l3"
  },
  "CAP_3dd915f0": {
   "en": "Multi-Environment Cluster Config Isolation",
   "zh": "多环境多集群配置版本隔离",
   "level": "l3"
  },
  "CAP_242fb365": {
   "en": "Probabilistic Occupancy Fusion",
   "zh": "概率占用融合",
   "level": "l2"
  },
  "CAP_1e9c98ab": {
   "en": "Cross-Session Occupancy Merging",
   "zh": "跨时段占用合并",
   "level": "l3"
  },
  "CAP_83b53e3b": {
   "en": "Weighted TSDF Fusion",
   "zh": "加权 TSDF 融合",
   "level": "l3"
  },
  "CAP_f59b0e19": {
   "en": "Layered Costmap Max Combination",
   "zh": "分层代价地图最大合并",
   "level": "l3"
  },
  "CAP_f3f96177": {
   "en": "Diffusion Implicit Conflict Resolution",
   "zh": "扩散隐式冲突消解",
   "level": "l2"
  },
  "CAP_2b302265": {
   "en": "Multi-Modal Action Distribution Modeling",
   "zh": "多模态动作分布建模",
   "level": "l3"
  },
  "CAP_65e17941": {
   "en": "Conditional Denoising Action Sampling",
   "zh": "条件去噪动作采样",
   "level": "l3"
  },
  "CAP_d1c2a062": {
   "en": "3D Scene-Conditioned Trajectory Denoising",
   "zh": "3D场景条件轨迹去噪",
   "level": "l3"
  },
  "CAP_4ccccfb6": {
   "en": "Classifier-Free Guidance Conflict Steering",
   "zh": "无分类器引导冲突转向",
   "level": "l3"
  },
  "CAP_08d49650": {
   "en": "LLM Semantic Arbitration",
   "zh": "大语言模型语义冲突仲裁",
   "level": "l2"
  },
  "CAP_f2ac38e1": {
   "en": "Instruction-to-Text Context Grounding",
   "zh": "指令与上下文文本化",
   "level": "l3"
  },
  "CAP_ff164c64": {
   "en": "Grounded Skill Selection",
   "zh": "可行技能选择（接地）",
   "level": "l3"
  },
  "CAP_d451fbb0": {
   "en": "VLA Action Token Generation",
   "zh": "视觉语言动作词元生成",
   "level": "l3"
  },
  "CAP_66b9569b": {
   "en": "Graph-ID DR Debiasing",
   "zh": "图识别双重稳健去偏",
   "level": "l2"
  },
  "CAP_440c2c07": {
   "en": "Double Machine Learning Estimation",
   "zh": "双重机器学习估计",
   "level": "l3"
  },
  "CAP_2668462c": {
   "en": "Proximal Negative Control Debiasing",
   "zh": "近端阴性对照去偏",
   "level": "l2"
  },
  "CAP_f8a9d10f": {
   "en": "Proximal Negative Control Selection",
   "zh": "近端阴性对照变量选择",
   "level": "l3"
  },
  "CAP_e3b78f37": {
   "en": "Proximal Causal Identification",
   "zh": "近端因果识别",
   "level": "l3"
  },
  "CAP_b6da753e": {
   "en": "Proximal g-Computation",
   "zh": "近端g计算估计",
   "level": "l3"
  },
  "CAP_5f3fbf70": {
   "en": "Proximal Multiply Robust Estimation",
   "zh": "近端多重稳健估计",
   "level": "l3"
  },
  "CAP_d89fc6d2": {
   "en": "Sensitivity Bounds Debiasing",
   "zh": "敏感性界去偏",
   "level": "l2"
  },
  "CAP_f3dbac22": {
   "en": "Confounding Sensitivity Model Specification",
   "zh": "混杂敏感性模型设定",
   "level": "l3"
  },
  "CAP_4d6044dd": {
   "en": "Partial Identification Bounds",
   "zh": "部分识别界推导",
   "level": "l3"
  },
  "CAP_b23c4c71": {
   "en": "Robustness Certificate Issuance",
   "zh": "稳健性证书签发",
   "level": "l3"
  },
  "CAP_8a27c973": {
   "en": "Graphical Confounding Adjustment Identification",
   "zh": "图结构混杂因素调整集识别",
   "level": "l2"
  },
  "CAP_4e2c7a8f": {
   "en": "Potential Outcomes Estimation Bridge",
   "zh": "潜在结果-因果图估计桥",
   "level": "l2"
  },
  "CAP_6d8e2f4a": {
   "en": "Unmeasured Confounding Sensitivity Analysis",
   "zh": "未观测混杂敏感性分析",
   "level": "l2"
  },
  "CAP_4f0e0520": {
   "en": "Proximal Causal Inference with Negative Controls",
   "zh": "近端因果推断与负对照",
   "level": "l2"
  },
  "CAP_8a3f2c1d": {
   "en": "Counterfactual Query Algebraic Identification",
   "zh": "反事实查询代数识别",
   "level": "l3"
  },
  "CAP_c8300478": {
   "en": "Conditional Independence Test for Feature Filtering",
   "zh": "条件独立性检验特征过滤",
   "level": "l3"
  },
  "CAP_584a023e": {
   "en": "Covariate Balance Matching",
   "zh": "协变量平衡匹配与诊断",
   "level": "l3"
  },
  "CAP_5af23133": {
   "en": "High-dimensional Propensity Score",
   "zh": "高维倾向得分（hdPS）",
   "level": "l3"
  },
  "CAP_baa43311": {
   "en": "Partial R2 Robustness Sensitivity",
   "zh": "部分R²稳健性敏感性分析",
   "level": "l3"
  },
  "CAP_8d8cd66f": {
   "en": "Proximal Causal Effect Estimation",
   "zh": "近端因果效应估计",
   "level": "l3"
  },
  "CAP_c1bc6c2a": {
   "en": "Negative Control Confounding Diagnosis",
   "zh": "负对照混杂诊断",
   "level": "l3"
  },
  "CAP_a86ff873": {
   "en": "Uncertainty Weighted Connectivity Graph",
   "zh": "不确定性加权连通图",
   "level": "l3"
  },
  "CAP_08e1da1e": {
   "en": "Bounded Edge Potential Function",
   "zh": "有界边势能函数",
   "level": "l3"
  },
  "CAP_05bca208": {
   "en": "Edge Potential Gradient Sum Control",
   "zh": "边势能梯度求和控制",
   "level": "l3"
  },
  "CAP_2b01e91f": {
   "en": "ISS Bounded Connectivity Stability",
   "zh": "ISS 有界连通性稳定性",
   "level": "l3"
  },
  "CAP_5d665f60": {
   "en": "Obstacle-Aware Connectivity Navigation",
   "zh": "避障感知连通性导航",
   "level": "l3"
  },
  "CAP_b47e9a01": {
   "en": "Algebraic Connectivity CBF Constraint",
   "zh": "代数连通性 CBF 约束",
   "level": "l3"
  },
  "CAP_d9c168de": {
   "en": "Nonsmooth CBF Multi-Eigenvalue Handling",
   "zh": "非光滑 CBF 多重特征值处理",
   "level": "l3"
  },
  "CAP_805a0fc2": {
   "en": "Matrix CBF for Laplacian",
   "zh": "拉普拉斯矩阵控制障碍函数",
   "level": "l3"
  },
  "CAP_983bf40c": {
   "en": "High-Order CBF Connectivity Constraint",
   "zh": "高阶 CBF 连通性约束",
   "level": "l3"
  },
  "CAP_b68f9e4a": {
   "en": "MPC CLF CBF Bezier Optimization",
   "zh": "MPC-CLF-CBF 贝塞尔轨迹优化",
   "level": "l3"
  },
  "CAP_c2814a1d": {
   "en": "Connectivity Recovery via HOCLF",
   "zh": "HOCLF 连通性恢复",
   "level": "l3"
  },
  "CAP_d0b4f932": {
   "en": "Force-Compliance Connector Insertion Pipeline",
   "zh": "力控柔顺连接器插入流水线",
   "level": "l2"
  },
  "CAP_a470ec93": {
   "en": "Connector Type Adaptive Impedance",
   "zh": "连接器类型自适应阻抗参数",
   "level": "l3"
  },
  "CAP_b97c1419": {
   "en": "Electrical Coupling Verification",
   "zh": "电气耦合建立验证",
   "level": "l3"
  },
  "CAP_722f90cb": {
   "en": "Connector Withdrawal",
   "zh": "连接器退出释放",
   "level": "l3"
  },
  "CAP_599ab2da": {
   "en": "Sim-to-Real RL Connector Insertion Pipeline",
   "zh": "仿真到真实强化学习连接器插入流水线",
   "level": "l2"
  },
  "CAP_738939b8": {
   "en": "SDF-Based Dense Reward Shaping",
   "zh": "SDF 稠密奖励塑形",
   "level": "l3"
  },
  "CAP_83b1e62b": {
   "en": "Sampling-Based Assembly Curriculum",
   "zh": "采样式装配课程",
   "level": "l3"
  },
  "CAP_731d874f": {
   "en": "Real-World Sample-Efficient RL Connector Insertion Pipeline",
   "zh": "真机样本高效 RL 连接器插入流水线",
   "level": "l2"
  },
  "CAP_6305b9c5": {
   "en": "Visual Reward Classifier Training",
   "zh": "视觉奖励分类器训练",
   "level": "l3"
  },
  "CAP_81961e65": {
   "en": "Human Demonstration Recording via Teleoperation",
   "zh": "遥操作示教录制",
   "level": "l3"
  },
  "CAP_9b0ecf74": {
   "en": "Asynchronous Actor-Learner RL Training",
   "zh": "异步 actor-learner RL 训练",
   "level": "l3"
  },
  "CAP_6faf1496": {
   "en": "Online Human Intervention during RL",
   "zh": "RL 在线人工干预",
   "level": "l3"
  },
  "CAP_23da8b37": {
   "en": "Visuomotor Imitation Learning Connector Insertion Pipeline",
   "zh": "视觉运动模仿学习连接器插入流水线",
   "level": "l2"
  },
  "CAP_f581b9dd": {
   "en": "MimicGen Data Augmentation",
   "zh": "MimicGen 示教数据扩增",
   "level": "l3"
  },
  "CAP_45f0d097": {
   "en": "Diffusion Policy Training",
   "zh": "扩散策略训练",
   "level": "l3"
  },
  "CAP_30db8136": {
   "en": "RelativePoseEstimation",
   "zh": "相对位姿估计",
   "level": "l3"
  },
  "CAP_5658467d": {
   "en": "AdmittanceControlBasedCompliantInsertion",
   "zh": "基于导纳控制的柔顺插入",
   "level": "l3"
  },
  "CAP_3759fc7b": {
   "en": "Consensus-Based DMPC Trajectory Planning",
   "zh": "基于一致性的分布式 MPC 轨迹规划",
   "level": "l2"
  },
  "CAP_692f7b9f": {
   "en": "Local MPC NLP Formulation",
   "zh": "局部 MPC NLP 构造",
   "level": "l3"
  },
  "CAP_a6fe8214": {
   "en": "Ellipsoidal Collision Constraint Construction",
   "zh": "椭球碰撞约束构造",
   "level": "l3"
  },
  "CAP_89b5713a": {
   "en": "On-Demand Soft Constraint Activation",
   "zh": "按需软约束激活",
   "level": "l3"
  },
  "CAP_4f9776c1": {
   "en": "Assumed Trajectory Broadcast and Consensus",
   "zh": "假设轨迹广播与共识",
   "level": "l3"
  },
  "CAP_27781df7": {
   "en": "Trajectory Convergence Detection",
   "zh": "预测轨迹收敛检测",
   "level": "l3"
  },
  "CAP_18aa71bf": {
   "en": "Consensus-Based Virtual Structure Formation Planning",
   "zh": "基于一致性的虚拟结构编队规划",
   "level": "l3"
  },
  "CAP_9ae33ab1": {
   "en": "Distributed Consensus Virtual Structure Estimation",
   "zh": "分布式一致性虚拟结构估计",
   "level": "l3"
  },
  "CAP_f1bfcf24": {
   "en": "Virtual Structure Consensus Estimation",
   "zh": "虚拟结构一致性估计伞形",
   "level": "l3"
  },
  "CAP_235bc8c5": {
   "en": "Virtual Leader Consensus Tracking",
   "zh": "虚拟领导者一致性跟踪伞形",
   "level": "l3"
  },
  "CAP_cf2e346f": {
   "en": "Consensus Tracking Control Law",
   "zh": "一致性跟踪控制律",
   "level": "l3"
  },
  "CAP_f62ee861": {
   "en": "Virtual Leader Reference State Generation",
   "zh": "虚拟领导者参考状态生成",
   "level": "l3"
  },
  "CAP_716dd57c": {
   "en": "Consensus Formation Safe Execution",
   "zh": "一致性编队安全执行",
   "level": "l3"
  },
  "CAP_725dc3d2": {
   "en": "Quadrotor Swarm and Formation Initialization",
   "zh": "四旋翼集群与队形初始化",
   "level": "l3"
  },
  "CAP_e927d4df": {
   "en": "External Localization Bridge",
   "zh": "外部定位源接入",
   "level": "l3"
  },
  "CAP_30019961": {
   "en": "Offboard Setpoint Streaming",
   "zh": "Offboard Setpoint 流式下发",
   "level": "l3"
  },
  "CAP_3122f09b": {
   "en": "Onboard Trajectory Tracking",
   "zh": "机载轨迹跟踪控制",
   "level": "l3"
  },
  "CAP_6371aa26": {
   "en": "Task and Agent Model Initialization",
   "zh": "任务与智能体模型初始化",
   "level": "l3"
  },
  "CAP_2d31e339": {
   "en": "Utility Function Construction",
   "zh": "效用函数构造",
   "level": "l3"
  },
  "CAP_2cfb1b21": {
   "en": "Consensus Information Broadcast",
   "zh": "共识信息广播",
   "level": "l3"
  },
  "CAP_e7f9d2b4": {
   "en": "Conflicted Task Release",
   "zh": "冲突任务释放",
   "level": "l3"
  },
  "CAP_6eab3604": {
   "en": "Conflict-Free Allocation Output",
   "zh": "无冲突分配输出",
   "level": "l3"
  },
  "CAP_ac7311f0": {
   "en": "Neighbor Estimate Exchange",
   "zh": "邻居估计交换",
   "level": "l3"
  },
  "CAP_1258f3a3": {
   "en": "CI Multi-Estimate Recursive Fusion",
   "zh": "CI 多估计递归融合",
   "level": "l3"
  },
  "CAP_77c03b4c": {
   "en": "LLM Dialectic Debate and Negotiation",
   "zh": "LLM 辩证辩论与协商",
   "level": "l3"
  },
  "CAP_66bf2a3b": {
   "en": "LLM Multi-Agent Dialogue Manager",
   "zh": "LLM 多智能体对话管理器",
   "level": "l3"
  },
  "CAP_dc3652bd": {
   "en": "Judge LLM CoT Scoring",
   "zh": "评判 LLM CoT 评分",
   "level": "l3"
  },
  "CAP_463b66da": {
   "en": "Stochastic Approximation Consensus",
   "zh": "随机逼近一致性",
   "level": "l2"
  },
  "CAP_927a5611": {
   "en": "Noise Variance Online Estimation",
   "zh": "噪声方差在线估计",
   "level": "l3"
  },
  "CAP_df157f02": {
   "en": "Robbins-Monro Step Size Schedule",
   "zh": "Robbins-Monro 步长调度",
   "level": "l3"
  },
  "CAP_0e2e9848": {
   "en": "Noisy Neighbor State Exchange Update",
   "zh": "含噪邻居状态交换与一致性更新",
   "level": "l3"
  },
  "CAP_f20c9beb": {
   "en": "Mean Square Convergence Monitor",
   "zh": "均方收敛监测与邻域判定",
   "level": "l3"
  },
  "CAP_ccc25bf8": {
   "en": "Set-Membership Bounded-Error Consensus",
   "zh": "集合成员有界误差共识",
   "level": "l2"
  },
  "CAP_40e89483": {
   "en": "Feasible Set Encoding and Neighbor Exchange",
   "zh": "可行集编码与邻居交换",
   "level": "l3"
  },
  "CAP_4fcbeba3": {
   "en": "Minkowski Prediction and Intersection Fusion Update",
   "zh": "Minkowski 和预测与交集融合更新",
   "level": "l3"
  },
  "CAP_ba5a6ec0": {
   "en": "Zonotope Order Reduction",
   "zh": "Zonotope 阶数降阶",
   "level": "l3"
  },
  "CAP_68aeec72": {
   "en": "Guaranteed Convergence and Non-Empty Check",
   "zh": "保证性收敛与非空检查",
   "level": "l3"
  },
  "CAP_4782da85": {
   "en": "H-infinity Robust Consensus",
   "zh": "H-∞鲁棒一致性",
   "level": "l2"
  },
  "CAP_923a95e6": {
   "en": "Consensus Error Dynamics Modeling",
   "zh": "一致性误差动力学建模",
   "level": "l3"
  },
  "CAP_217a23bc": {
   "en": "H-infinity LMI Construction",
   "zh": "H-∞ LMI 构建",
   "level": "l3"
  },
  "CAP_8203425d": {
   "en": "LMI/ARE Solver Invocation",
   "zh": "LMI/ARE 求解器调用",
   "level": "l3"
  },
  "CAP_6971705f": {
   "en": "Worst-Case Gain Verification",
   "zh": "最坏情况增益验证",
   "level": "l3"
  },
  "CAP_287304c5": {
   "en": "Consent Capture UI Management",
   "zh": "同意采集 UI 管理",
   "level": "l2"
  },
  "CAP_87ceb303": {
   "en": "Consent Banner Rendering",
   "zh": "同意横幅渲染",
   "level": "l3"
  },
  "CAP_f69e9e91": {
   "en": "Privacy Preference Center Management",
   "zh": "隐私偏好中心管理",
   "level": "l3"
  },
  "CAP_244ccbbb": {
   "en": "Consent Record Persistence",
   "zh": "同意记录持久化",
   "level": "l2"
  },
  "CAP_430fdf18": {
   "en": "Consent Cookie Management",
   "zh": "同意 Cookie 管理",
   "level": "l3"
  },
  "CAP_f013b55c": {
   "en": "Consent Database Storage",
   "zh": "同意数据库存储",
   "level": "l3"
  },
  "CAP_39ab7195": {
   "en": "Consent Enforcement",
   "zh": "同意强制执行",
   "level": "l2"
  },
  "CAP_002026a6": {
   "en": "Script Auto-blocking",
   "zh": "脚本自动拦截",
   "level": "l3"
  },
  "CAP_c826eff7": {
   "en": "Consent-aware Script Loading",
   "zh": "感知同意的脚本加载",
   "level": "l3"
  },
  "CAP_c5d23ddb": {
   "en": "Consent Lifecycle Management",
   "zh": "同意生命周期管理",
   "level": "l2"
  },
  "CAP_21ec565d": {
   "en": "Consent State Machine",
   "zh": "同意状态机",
   "level": "l3"
  },
  "CAP_819cd44a": {
   "en": "Consent Withdrawal Propagation",
   "zh": "同意撤回传播",
   "level": "l3"
  },
  "CAP_15a7a7d3": {
   "en": "DSAR Integration",
   "zh": "DSAR 数据主体访问请求集成",
   "level": "l2"
  },
  "CAP_6d911531": {
   "en": "DSAR Request Handling",
   "zh": "DSAR 请求处理",
   "level": "l3"
  },
  "CAP_ba0950ee": {
   "en": "Consent Evidence Retrieval",
   "zh": "同意证据检索",
   "level": "l3"
  },
  "CAP_55a77985": {
   "en": "TC String Encoding",
   "zh": "TC String 编码",
   "level": "l2"
  },
  "CAP_e499c0e2": {
   "en": "TCModel State Management",
   "zh": "TCModel 状态管理",
   "level": "l3"
  },
  "CAP_49a96ca5": {
   "en": "TC String Serialization",
   "zh": "TC String 序列化",
   "level": "l3"
  },
  "CAP_6bc18c18": {
   "en": "GVL Management",
   "zh": "全局供应商列表管理",
   "level": "l2"
  },
  "CAP_556766d6": {
   "en": "GVL Loading & Versioning",
   "zh": "GVL 加载与版本协商",
   "level": "l3"
  },
  "CAP_f2cc92e0": {
   "en": "Vendor Filtering & Grouping",
   "zh": "供应商过滤与分组",
   "level": "l3"
  },
  "CAP_b1d31252": {
   "en": "CMP API Exposure",
   "zh": "CMP API 暴露",
   "level": "l2"
  },
  "CAP_f60439af": {
   "en": "CmpApi Registration",
   "zh": "CMP API 注册",
   "level": "l3"
  },
  "CAP_b2f4fd49": {
   "en": "TCData Query Handling",
   "zh": "TCData 查询处理",
   "level": "l3"
  },
  "CAP_1674b349": {
   "en": "Consent Event Listener",
   "zh": "同意事件监听",
   "level": "l3"
  },
  "CAP_12f8313f": {
   "en": "GPC Signal Handling",
   "zh": "GPC 信号处理",
   "level": "l2"
  },
  "CAP_85d83420": {
   "en": "GPC Signal Detection",
   "zh": "GPC 信号检测",
   "level": "l3"
  },
  "CAP_a87d36ef": {
   "en": "GPC Opt-out Application",
   "zh": "GPC opt-out 应用",
   "level": "l3"
  },
  "CAP_36a179ee": {
   "en": "Cross-Platform Consent Propagation",
   "zh": "跨平台同意传播",
   "level": "l2"
  },
  "CAP_6feec798": {
   "en": "Cross-Domain Signal Passing",
   "zh": "跨域同意信号传递",
   "level": "l3"
  },
  "CAP_b9097f72": {
   "en": "In-App Consent APIs",
   "zh": "App 内同意 API",
   "level": "l3"
  },
  "CAP_8cbd5701": {
   "en": "OAuth Authorization Code Grant Flow",
   "zh": "OAuth 授权码授予流程",
   "level": "l2"
  },
  "CAP_ae2de589": {
   "en": "PKCE Code Challenge Generation",
   "zh": "PKCE 码挑战生成",
   "level": "l3"
  },
  "CAP_5f12a220": {
   "en": "Token Exchange via Authorization Code",
   "zh": "授权码换取访问令牌",
   "level": "l3"
  },
  "CAP_fcbf6e5d": {
   "en": "UMA 2.0 Resource Registration & Permission Ticket",
   "zh": "UMA 资源注册与权限票据",
   "level": "l2"
  },
  "CAP_b7cf46c1": {
   "en": "UMA Resource Set Registration",
   "zh": "UMA 资源集注册",
   "level": "l3"
  },
  "CAP_3f72fa54": {
   "en": "UMA Permission Ticket Issuance",
   "zh": "UMA 权限票据签发",
   "level": "l3"
  },
  "CAP_ee349c95": {
   "en": "UMA 2.0 Requesting Party Token",
   "zh": "UMA 请求方令牌",
   "level": "l2"
  },
  "CAP_530a50a7": {
   "en": "RPT Request with Permission Ticket",
   "zh": "权限票据换取 RPT",
   "level": "l3"
  },
  "CAP_5354b700": {
   "en": "RPT Permission Verification",
   "zh": "RPT 权限集验证",
   "level": "l3"
  },
  "CAP_4e189931": {
   "en": "Token Lifecycle Management",
   "zh": "令牌生命周期管理",
   "level": "l2"
  },
  "CAP_9f3d52f7": {
   "en": "Token Revocation",
   "zh": "令牌撤销",
   "level": "l3"
  },
  "CAP_e5c7eaa8": {
   "en": "Token Introspection",
   "zh": "令牌内省",
   "level": "l3"
  },
  "CAP_bc946fd4": {
   "en": "Token Refresh",
   "zh": "访问令牌刷新",
   "level": "l3"
  },
  "CAP_2d3657ed": {
   "en": "Policy-Based Authorization Decision",
   "zh": "基于策略的授权决策",
   "level": "l2"
  },
  "CAP_ee8bd275": {
   "en": "ABAC Policy Evaluation",
   "zh": "属性基础访问控制策略评估",
   "level": "l3"
  },
  "CAP_54f1a5ec": {
   "en": "Resource Owner Consent Policy",
   "zh": "资源所有者动态同意策略",
   "level": "l3"
  },
  "CAP_414bea4b": {
   "en": "Consent Receipt VC Construction",
   "zh": "同意回执可验证凭证构建",
   "level": "l2"
  },
  "CAP_91a268cf": {
   "en": "Consent Content Mapping",
   "zh": "同意内容字段映射",
   "level": "l3"
  },
  "CAP_65907327": {
   "en": "VC Context Configuration",
   "zh": "VC 上下文配置",
   "level": "l3"
  },
  "CAP_7b837a3d": {
   "en": "Data Integrity Proof Generation",
   "zh": "数据完整性证明生成",
   "level": "l2"
  },
  "CAP_0c52a579": {
   "en": "Proof Transformation & Hashing",
   "zh": "证明转换与哈希",
   "level": "l3"
  },
  "CAP_b7489c47": {
   "en": "EdDSA Proof Generation",
   "zh": "EdDSA 证明生成",
   "level": "l3"
  },
  "CAP_b1009044": {
   "en": "BBS Selective Disclosure Proof",
   "zh": "BBS 选择性披露证明",
   "level": "l3"
  },
  "CAP_572aaa06": {
   "en": "Credential Status Management",
   "zh": "凭证状态管理",
   "level": "l2"
  },
  "CAP_45231b05": {
   "en": "Status List Bitstring Management",
   "zh": "状态列表位串管理",
   "level": "l3"
  },
  "CAP_356018e6": {
   "en": "Revocation Status Query",
   "zh": "撤销状态查询",
   "level": "l3"
  },
  "CAP_59997108": {
   "en": "Verifiable Presentation",
   "zh": "可验证出示",
   "level": "l2"
  },
  "CAP_b9ba6fe5": {
   "en": "Basic VP Generation",
   "zh": "基本可验证出示生成",
   "level": "l3"
  },
  "CAP_710b4a6c": {
   "en": "AnonCreds ZKP Presentation",
   "zh": "AnonCreds 零知识证明出示",
   "level": "l3"
  },
  "CAP_c6c623e5": {
   "en": "Credential Verification",
   "zh": "凭证验证",
   "level": "l2"
  },
  "CAP_d849ed92": {
   "en": "Proof Verification",
   "zh": "证明验证",
   "level": "l3"
  },
  "CAP_44ebb841": {
   "en": "Issuer DID Resolution",
   "zh": "签发者 DID 解析",
   "level": "l3"
  },
  "CAP_9cbcc24b": {
   "en": "Safe Bayesian Optimization with Lower Confidence Bound",
   "zh": "GP 下置信界安全参数优化",
   "level": "l3"
  },
  "CAP_7354e929": {
   "en": "Safe Set Monotonic Expansion",
   "zh": "安全集单调保守扩展",
   "level": "l3"
  },
  "CAP_9afd87be": {
   "en": "SafeOptMCSWU Acquisition",
   "zh": "SafeOptMCSWU 采集函数",
   "level": "l3"
  },
  "CAP_363e3eb0": {
   "en": "Contextual Safe Bayesian Optimization",
   "zh": "上下文安全贝叶斯优化",
   "level": "l3"
  },
  "CAP_23610ab6": {
   "en": "SafeOpt Initialization",
   "zh": "SafeOpt 初始化",
   "level": "l2"
  },
  "CAP_dc99284d": {
   "en": "Parameter Space Definition",
   "zh": "参数空间定义",
   "level": "l3"
  },
  "CAP_c11a4ea6": {
   "en": "Initial Safe Observation",
   "zh": "初始安全观测采集",
   "level": "l3"
  },
  "CAP_82de9542": {
   "en": "GP Prior Construction",
   "zh": "GP 先验构建",
   "level": "l3"
  },
  "CAP_c67350c0": {
   "en": "SafeOpt Iteration",
   "zh": "SafeOpt 安全迭代",
   "level": "l2"
  },
  "CAP_e421b044": {
   "en": "Safe Acquisition Optimization",
   "zh": "安全采集函数优化",
   "level": "l3"
  },
  "CAP_af21e010": {
   "en": "Real System Evaluation",
   "zh": "真实系统评估",
   "level": "l3"
  },
  "CAP_2a4625f2": {
   "en": "GP Model Update and Safe Set Expansion",
   "zh": "GP 模型更新与安全集扩展",
   "level": "l3"
  },
  "CAP_068dad78": {
   "en": "Optimal Parameter Selection",
   "zh": "最优参数选择",
   "level": "l3"
  },
  "CAP_6c2f3cf1": {
   "en": "State-Dependent Smooth Exploration",
   "zh": "状态依赖平滑探索",
   "level": "l3"
  },
  "CAP_00b1f2c4": {
   "en": "Exploration Noise Resampling Period",
   "zh": "探索噪声重采样周期控制",
   "level": "l3"
  },
  "CAP_65b7dd07": {
   "en": "Policy Feature-Based Noise Function",
   "zh": "策略特征噪声函数",
   "level": "l3"
  },
  "CAP_02ee0c68": {
   "en": "Analytic Log-Likelihood Policy Gradient",
   "zh": "解析对数似然策略梯度",
   "level": "l3"
  },
  "CAP_f73cccb6": {
   "en": "Trust Region Conservative Policy Iteration",
   "zh": "信赖域保守策略迭代",
   "level": "l2"
  },
  "CAP_71c8bd56": {
   "en": "Performance Difference Bound Estimator",
   "zh": "性能差异下界估计",
   "level": "l3"
  },
  "CAP_2a103ca5": {
   "en": "Surrogate Objective Constructor",
   "zh": "代理目标构造",
   "level": "l3"
  },
  "CAP_f0dda12e": {
   "en": "Trust-Region CG Solver",
   "zh": "信赖域共轭梯度求解",
   "level": "l3"
  },
  "CAP_477bad2f": {
   "en": "Fisher-Vector Product",
   "zh": "Fisher-向量积",
   "level": "l3"
  },
  "CAP_01feddfe": {
   "en": "Backtracking Line Search",
   "zh": "回溯线搜索",
   "level": "l3"
  },
  "CAP_13836645": {
   "en": "Constrained Policy Optimization Extension",
   "zh": "代价约束策略优化",
   "level": "l3"
  },
  "CAP_e908fd79": {
   "en": "Implicit Constraint Weighted Regression Conservative Policy Iteration",
   "zh": "隐式约束加权回归保守策略迭代",
   "level": "l2"
  },
  "CAP_f9b330e0": {
   "en": "Advantage-Weighted Regression Objective",
   "zh": "优势加权回归目标构造",
   "level": "l3"
  },
  "CAP_42a21905": {
   "en": "Advantage Estimator for Weighted Regression",
   "zh": "加权回归优势估计",
   "level": "l3"
  },
  "CAP_bdaa00be": {
   "en": "Implicit Constraint / OOD Suppression",
   "zh": "隐式约束与 OOD 抑制",
   "level": "l3"
  },
  "CAP_ef67d8d0": {
   "en": "Temperature β / λ Tuning",
   "zh": "温度系数调节",
   "level": "l3"
  },
  "CAP_6e93376a": {
   "en": "AWAC Offline Pretrain + Online Finetune",
   "zh": "AWAC 离线预训练在线微调",
   "level": "l3"
  },
  "CAP_55f3d014": {
   "en": "BC Degeneration / AWR Limitation",
   "zh": "行为克隆退化与局限",
   "level": "l3"
  },
  "CAP_da134c80": {
   "en": "Critic-Regularized Regression (CRR) Extension",
   "zh": "优势过滤行为克隆",
   "level": "l3"
  },
  "CAP_bddd7b5e": {
   "en": "Continuous CQL Pipeline",
   "zh": "连续动作CQL管线",
   "level": "l2"
  },
  "CAP_caf84fe6": {
   "en": "Discrete CQL Pipeline",
   "zh": "离散动作CQL管线",
   "level": "l2"
  },
  "CAP_acbce41e": {
   "en": "Cal-QL Pipeline",
   "zh": "Cal-QL校准保守Q学习管线",
   "level": "l2"
  },
  "CAP_bb424f48": {
   "en": "CQL Continuous Conservative Regularizer",
   "zh": "CQL连续保守Q正则项",
   "level": "l3"
  },
  "CAP_83912de1": {
   "en": "CQL Lagrangian Alpha Auto-Tune",
   "zh": "CQL Lagrangian保守强度自动调节",
   "level": "l3"
  },
  "CAP_d1f7b2f0": {
   "en": "Discrete CQL Penalty",
   "zh": "离散CQL保守惩罚",
   "level": "l3"
  },
  "CAP_12a633fe": {
   "en": "Return Distribution Parameterization",
   "zh": "回报分布参数化",
   "level": "l3"
  },
  "CAP_d87002ba": {
   "en": "Quantile Huber Loss",
   "zh": "quantile Huber损失",
   "level": "l3"
  },
  "CAP_bb4fcefe": {
   "en": "Cal-QL Calibrated Conservative Regularizer",
   "zh": "Cal-QL校准保守Q正则项",
   "level": "l3"
  },
  "CAP_9cea9f70": {
   "en": "Behavior Value Reference Estimation",
   "zh": "行为策略参考值估计",
   "level": "l3"
  },
  "CAP_466b3dc8": {
   "en": "Offline Online CQL Fine-tune Protocol",
   "zh": "离线在线CQL微调协议",
   "level": "l3"
  },
  "CAP_cd082385": {
   "en": "Surface Point Cloud Acquisition",
   "zh": "表面点云采集",
   "level": "l3"
  },
  "CAP_80a2c9e7": {
   "en": "Surface Normal Field Estimation",
   "zh": "表面法向场估计",
   "level": "l3"
  },
  "CAP_7070c200": {
   "en": "Workspace Boundary Extraction",
   "zh": "工作空间边界提取",
   "level": "l3"
  },
  "CAP_f9ac9193": {
   "en": "FT State Acquisition and Force Error Computation",
   "zh": "力/位状态采集与力误差计算",
   "level": "l3"
  },
  "CAP_ce9d20ef": {
   "en": "Admittance Model Solving",
   "zh": "导纳模型求解",
   "level": "l3"
  },
  "CAP_4b9c1d63": {
   "en": "Admittance Control Constant Normal Force Sliding",
   "zh": "导纳控制恒法向力滑动跟随",
   "level": "l3"
  },
  "CAP_e87fed10": {
   "en": "Position Control Execution",
   "zh": "位置控制执行",
   "level": "l3"
  },
  "CAP_dd10008c": {
   "en": "Repeat on Force Error Decision",
   "zh": "力误差重复处理决策",
   "level": "l3"
  },
  "CAP_251aacb2": {
   "en": "Force Error Driven Adaptive Variable Admittance",
   "zh": "力误差驱动自适应变导纳",
   "level": "l3"
  },
  "CAP_8c9d73d6": {
   "en": "Curved Surface Force Analysis",
   "zh": "曲面受力分析",
   "level": "l3"
  },
  "CAP_85e452e6": {
   "en": "Active Force Servo Surface Following Pipeline",
   "zh": "主动恒力伺服表面跟随流水线",
   "level": "l2"
  },
  "CAP_5d69c4f3": {
   "en": "Contact-Maintaining Sliding Controller",
   "zh": "接触维持滑动控制器",
   "level": "l3"
  },
  "CAP_f21ba634": {
   "en": "Robot Free-Space Position Motion",
   "zh": "机器人自由空间位置运动",
   "level": "l3"
  },
  "CAP_3cfc665f": {
   "en": "Constitutional Critique Revision SFT",
   "zh": "宪章式自批评-修订监督对齐",
   "level": "l2"
  },
  "CAP_286c4326": {
   "en": "Constitution Spec Configuration",
   "zh": "宪章原则配置",
   "level": "l3"
  },
  "CAP_954e4a08": {
   "en": "Baseline Planner Draft Sampling",
   "zh": "基线规划器草稿采样",
   "level": "l3"
  },
  "CAP_2d8b1e7c": {
   "en": "Constitutional Self-Critique",
   "zh": "宪章式自批评",
   "level": "l3"
  },
  "CAP_be731028": {
   "en": "Constitutional Self-Revision",
   "zh": "宪章式自修订",
   "level": "l3"
  },
  "CAP_4c929004": {
   "en": "Dual Candidate Rollout Sampling",
   "zh": "双候选 rollout 采样",
   "level": "l3"
  },
  "CAP_c6569f81": {
   "en": "d-RLAIF Direct LLM Reward",
   "zh": "d-RLAIF 直接 LLM 奖励",
   "level": "l3"
  },
  "CAP_854336bb": {
   "en": "Test-time VLM-as-Judge Action Verification",
   "zh": "推理时 VLM-as-Judge 动作验证",
   "level": "l2"
  },
  "CAP_dfe1a7c2": {
   "en": "VLA Candidate Action Sampling",
   "zh": "VLA 候选动作采样",
   "level": "l3"
  },
  "CAP_3675bd15": {
   "en": "Constitutional PRM Scoring",
   "zh": "宪章式 PRM 打分",
   "level": "l3"
  },
  "CAP_2103815d": {
   "en": "Action Rerank Reject Revise",
   "zh": "动作重排序-否决-修订",
   "level": "l3"
  },
  "CAP_6814d68e": {
   "en": "Failure Diagnosis Revision",
   "zh": "失败后宪章式诊断-修正",
   "level": "l3"
  },
  "CAP_2e41e1ec": {
   "en": "CMDP Tuple Formalization",
   "zh": "CMDP元组形式化",
   "level": "l2"
  },
  "CAP_3c2c4ed0": {
   "en": "Cost Limit Setting",
   "zh": "代价预算设定",
   "level": "l3"
  },
  "CAP_e50ee5d1": {
   "en": "Constraint Aware Training Interface",
   "zh": "约束感知训练接口",
   "level": "l3"
  },
  "CAP_cc5503f7": {
   "en": "Safety Budget State Augmentation",
   "zh": "安全预算状态增广",
   "level": "l2"
  },
  "CAP_aacd1912": {
   "en": "Safety Budget Variable Design",
   "zh": "安全预算变量设计",
   "level": "l3"
  },
  "CAP_51037239": {
   "en": "Augmented MDP Dynamics Reformulation",
   "zh": "增广MDP动力学重构",
   "level": "l3"
  },
  "CAP_e96a73da": {
   "en": "Budget Termination Condition",
   "zh": "预算终止条件",
   "level": "l3"
  },
  "CAP_e91d6215": {
   "en": "Unconstrained RL Adaptation",
   "zh": "无约束RL适配",
   "level": "l3"
  },
  "CAP_a8e42225": {
   "en": "Risk Measure Constrained MDP",
   "zh": "风险度量约束MDP",
   "level": "l2"
  },
  "CAP_61a241bf": {
   "en": "Risk Tolerance Analysis",
   "zh": "风险容忍度分析",
   "level": "l3"
  },
  "CAP_ff3c515f": {
   "en": "Risk Measure Selection",
   "zh": "风险度量选择",
   "level": "l3"
  },
  "CAP_f6568144": {
   "en": "Trust-Region Convex Optimization Family",
   "zh": "信赖域凸优化约束策略优化族",
   "level": "l2"
  },
  "CAP_31a43319": {
   "en": "Penalty Function Optimization Family",
   "zh": "罚函数化约束策略优化族",
   "level": "l2"
  },
  "CAP_7b3f88e5": {
   "en": "Offline Variational Optimization Family",
   "zh": "离线与变分约束策略优化族",
   "level": "l2"
  },
  "CAP_1910d310": {
   "en": "GAE Advantage Cost Estimation",
   "zh": "GAE 优势与代价优势估计",
   "level": "l3"
  },
  "CAP_4205caba": {
   "en": "PCPO Two-Step Projection Solving",
   "zh": "PCPO 两步投影求解",
   "level": "l3"
  },
  "CAP_a734b5aa": {
   "en": "FOCOPS First-Order Non-Parametric Solving",
   "zh": "FOCOPS 一阶非参数求解",
   "level": "l3"
  },
  "CAP_3dfee3af": {
   "en": "Trust-Region Training Evaluation",
   "zh": "信赖域训练评测",
   "level": "l3"
  },
  "CAP_054b8e10": {
   "en": "IPO Log-Barrier Interior-Point Solving",
   "zh": "IPO log-barrier 内点法求解",
   "level": "l3"
  },
  "CAP_9695631e": {
   "en": "P3O Penalty with PPO Clip Solving",
   "zh": "P3O 简单 penalty 与 PPO clip 求解",
   "level": "l3"
  },
  "CAP_cef3a03e": {
   "en": "Penalty Function Training Evaluation",
   "zh": "罚函数训练评测",
   "level": "l3"
  },
  "CAP_64720a53": {
   "en": "Offline SafeRL Dataset Setup",
   "zh": "离线安全RL数据集加载",
   "level": "l3"
  },
  "CAP_2d8c25db": {
   "en": "Cost and Q Critic Initialization",
   "zh": "代价与Q critic 联合初始化",
   "level": "l3"
  },
  "CAP_44ff5abf": {
   "en": "CVPO Variational EM Solving",
   "zh": "CVPO 变分 EM 求解",
   "level": "l3"
  },
  "CAP_d708b75d": {
   "en": "CPQ Constrained Q-Learning Solving",
   "zh": "CPQ 约束 Q 学习求解",
   "level": "l3"
  },
  "CAP_e60893cd": {
   "en": "COptiDICE Distribution Correction Solving",
   "zh": "COptiDICE 分布校正求解",
   "level": "l3"
  },
  "CAP_95fc3a5c": {
   "en": "Offline Policy Extraction",
   "zh": "离线策略提取",
   "level": "l3"
  },
  "CAP_64d2b3ee": {
   "en": "Offline Training Evaluation",
   "zh": "离线训练评测",
   "level": "l3"
  },
  "CAP_17214551": {
   "en": "Forward Reachability Integration",
   "zh": "前向可达性积分",
   "level": "l3"
  },
  "CAP_2a77ea68": {
   "en": "DDP Whole-Body Trajectory Optimization",
   "zh": "DDP 全身轨迹优化",
   "level": "l2"
  },
  "CAP_d9e4788b": {
   "en": "NMPC Cost and Constraint Setup",
   "zh": "NMPC 代价与约束设置",
   "level": "l3"
  },
  "CAP_fa43578a": {
   "en": "Kinematic Constraint Assembly",
   "zh": "运动学约束装配",
   "level": "l3"
  },
  "CAP_cbca565c": {
   "en": "Receding Horizon QP DDP Solve",
   "zh": "滚动时域 QP DDP 求解",
   "level": "l3"
  },
  "CAP_d9a29256": {
   "en": "TOPP-RA Path Discretization",
   "zh": "TOPP-RA 路径离散化",
   "level": "l3"
  },
  "CAP_aff7d91e": {
   "en": "Receding-Horizon DDP SQP Solving",
   "zh": "滚动时域 DDP/SQP 求解",
   "level": "l3"
  },
  "CAP_b8a62331": {
   "en": "Contact Holonomic Constraint KKT Formulation",
   "zh": "接触完整约束 KKT 公式化",
   "level": "l3"
  },
  "CAP_6978b7f7": {
   "en": "Offline Constrained NLP Trajectory Optimization",
   "zh": "离线约束 NLP 轨迹优化",
   "level": "l2"
  },
  "CAP_25693156": {
   "en": "Switched-System Constraint Encoding",
   "zh": "切换系统约束编码",
   "level": "l3"
  },
  "CAP_aadad0c0": {
   "en": "TOPP-RA Time-Optimal Parameterization",
   "zh": "TOPP-RA 时间最优参数化",
   "level": "l3"
  },
  "CAP_b049ea7c": {
   "en": "Floating-Base Forward-Dynamics Action Model",
   "zh": "浮动基座前向动力学 Action 模型",
   "level": "l3"
  },
  "CAP_b1092292": {
   "en": "Feasibility-Driven DDP Solving",
   "zh": "可行性驱动 DDP 求解",
   "level": "l3"
  },
  "CAP_bdfab0d6": {
   "en": "TOPP Trajectory Output",
   "zh": "TOPP 轨迹输出",
   "level": "l3"
  },
  "CAP_c1098fea": {
   "en": "NMPC Warm Start and Convergence Management",
   "zh": "NMPC 热启动与收敛管理",
   "level": "l3"
  },
  "CAP_86b42462": {
   "en": "Switching Curve Minimum Envelope",
   "zh": "切换曲线最小包络",
   "level": "l3"
  },
  "CAP_508f24db": {
   "en": "B-spline Gradient Optimization (ESDF-based)",
   "zh": "B 样条梯度优化（ESDF-based）",
   "level": "l3"
  },
  "CAP_acc0d480": {
   "en": "Collision Constraint Signed Distance Linearization",
   "zh": "碰撞约束有符号距离线性化",
   "level": "l3"
  },
  "CAP_59da5580": {
   "en": "Geometric Path Construction",
   "zh": "几何路径构造",
   "level": "l3"
  },
  "CAP_e7cf4028": {
   "en": "Time-Optimal Trajectory Synthesis",
   "zh": "时间最优轨迹合成",
   "level": "l3"
  },
  "CAP_9b790d52": {
   "en": "Whole-Body MPC Trajectory Optimization Pipeline",
   "zh": "全身 MPC 轨迹优化管线",
   "level": "l3"
  },
  "CAP_9cf49e09": {
   "en": "Trust Region SQP Subproblem Solving",
   "zh": "信赖域 SQP 子问题求解",
   "level": "l3"
  },
  "CAP_23fafde8": {
   "en": "Trust Region Accept Reject and Scaling",
   "zh": "信赖域接受拒绝与半径缩放",
   "level": "l3"
  },
  "CAP_c1c38101": {
   "en": "Whole-Body MPC Floating-Base Pipeline",
   "zh": "全身 MPC 浮动基座管线",
   "level": "l2"
  },
  "CAP_1cb7c6bd": {
   "en": "Realtime Trajectory Update",
   "zh": "实时轨迹更新",
   "level": "l3"
  },
  "CAP_072f1492": {
   "en": "Crocoddyl Robot Validation and Integration",
   "zh": "Crocoddyl 机器人验证与集成",
   "level": "l3"
  },
  "CAP_c3d94727": {
   "en": "Continuous Multi-Contact Trajectory Optimization",
   "zh": "连续多接触轨迹优化",
   "level": "l2"
  },
  "CAP_77d54bb8": {
   "en": "cuRobo Trajectory Optimization Phase Orchestration",
   "zh": "cuRobo 轨迹优化阶段编排",
   "level": "l3"
  },
  "CAP_34bb565b": {
   "en": "Time-Optimal Path Parameterization Trajectory Optimization",
   "zh": "时间最优路径参数化轨迹优化",
   "level": "l2"
  },
  "CAP_54d5831d": {
   "en": "Industrial Kinematic Profile Planning",
   "zh": "工业运动学速度曲线规划",
   "level": "l3"
  },
  "CAP_7bd8f86c": {
   "en": "Geometric Path Constraint Parameterization",
   "zh": "几何路径约束参数化建模",
   "level": "l3"
  },
  "CAP_78ac23ae": {
   "en": "Reachability Analysis Propagation",
   "zh": "可达性分析前后向传播",
   "level": "l3"
  },
  "CAP_87eae9b1": {
   "en": "Whole-Body OCP Formulation",
   "zh": "全身 OCP 建模",
   "level": "l3"
  },
  "CAP_0687e141": {
   "en": "Time Optimal Profile Synthesis",
   "zh": "时间最优剖面合成与后验验证",
   "level": "l3"
  },
  "CAP_639f93ef": {
   "en": "Backward Reachability Integration",
   "zh": "后向可达性积分",
   "level": "l3"
  },
  "CAP_06f7d21b": {
   "en": "Real-Time Receding Horizon MPC Trajectory Optimization",
   "zh": "实时滚动时域 MPC 轨迹优化",
   "level": "l2"
  },
  "CAP_f2f37d9a": {
   "en": "Conflict-Directed Backjumping Search",
   "zh": "冲突导向回跳搜索",
   "level": "l2"
  },
  "CAP_8720c272": {
   "en": "Conflict Set Maintenance",
   "zh": "冲突集维护",
   "level": "l3"
  },
  "CAP_3fe2faa5": {
   "en": "Explanation Extraction",
   "zh": "解释提取",
   "level": "l3"
  },
  "CAP_18e70318": {
   "en": "Dynamic Backtracking",
   "zh": "动态回溯",
   "level": "l3"
  },
  "CAP_28a5c504": {
   "en": "Path Repair",
   "zh": "路径修复",
   "level": "l3"
  },
  "CAP_5dec4bf1": {
   "en": "CDCL Learning Search Engine",
   "zh": "CDCL 学习型搜索引擎",
   "level": "l2"
  },
  "CAP_4c3d2c40": {
   "en": "Boolean Constraint Propagation",
   "zh": "布尔约束传播",
   "level": "l3"
  },
  "CAP_a35f9bdb": {
   "en": "Watched Literals",
   "zh": "监视文字",
   "level": "l3"
  },
  "CAP_53cc3251": {
   "en": "Phase Saving",
   "zh": "相位保存",
   "level": "l3"
  },
  "CAP_3b343f8d": {
   "en": "Luby Restart Strategy",
   "zh": "Luby 重启策略",
   "level": "l3"
  },
  "CAP_686373cc": {
   "en": "Learnt Clause Database Management",
   "zh": "学习子句数据库管理",
   "level": "l3"
  },
  "CAP_de72c768": {
   "en": "Conflict Clause Minimization",
   "zh": "冲突子句最小化",
   "level": "l3"
  },
  "CAP_83d70218": {
   "en": "LCG Implication Generation",
   "zh": "LCG 蕴含生成",
   "level": "l3"
  },
  "CAP_4357f5f0": {
   "en": "Incremental SAT Interface",
   "zh": "增量 SAT 接口",
   "level": "l3"
  },
  "CAP_bc2a0166": {
   "en": "Constraint Manifold Sampling Planning",
   "zh": "约束流形采样式操作规划",
   "level": "l2"
  },
  "CAP_8af5d919": {
   "en": "Constraint Function Definition",
   "zh": "约束函数定义与Jacobian计算",
   "level": "l3"
  },
  "CAP_174df2cf": {
   "en": "Projection-Based Constrained Planning",
   "zh": "投影法约束流形规划",
   "level": "l3"
  },
  "CAP_b2035868": {
   "en": "Atlas-Based Constrained Planning",
   "zh": "Atlas切空间约束流形规划",
   "level": "l3"
  },
  "CAP_ad9238a4": {
   "en": "Tangent Bundle Lazy Planning",
   "zh": "切丛懒求值约束规划",
   "level": "l3"
  },
  "CAP_70203ab1": {
   "en": "Hierarchical Multistage Constrained Manipulation",
   "zh": "分层多阶段任务级约束操作规划",
   "level": "l2"
  },
  "CAP_6dccb186": {
   "en": "Stage Decomposition and Constraint Binding",
   "zh": "任务阶段分解与约束挂载",
   "level": "l3"
  },
  "CAP_811e1a5a": {
   "en": "Container Hierarchy Composition and End-to-End Solution Synthesis",
   "zh": "Container层级组合与端到端解合成",
   "level": "l3"
  },
  "CAP_e1a79c72": {
   "en": "Stage Planning Scene Propagation",
   "zh": "阶段间PlanningScene状态传播",
   "level": "l3"
  },
  "CAP_a7a220e2": {
   "en": "MTC Solution Execution",
   "zh": "MTC解执行与行为树集成",
   "level": "l3"
  },
  "CAP_b19327fb": {
   "en": "Visual Keypoint Constraint Manipulation Planning",
   "zh": "视觉关系关键点约束操作规划",
   "level": "l2"
  },
  "CAP_e607be3b": {
   "en": "VLM Keypoint Proposal",
   "zh": "视觉关键点提议",
   "level": "l3"
  },
  "CAP_76b7dd00": {
   "en": "VLM ReKep Constraint Generation",
   "zh": "VLM驱动ReKep约束自动生成",
   "level": "l3"
  },
  "CAP_ee804888": {
   "en": "Hierarchical Subgoal Path Optimization",
   "zh": "分层子目标-路径优化求解",
   "level": "l3"
  },
  "CAP_b565f84a": {
   "en": "Keypoint Closed-Loop Replanning",
   "zh": "关键点闭环重规划与跨阶段回溯",
   "level": "l3"
  },
  "CAP_f5a54737": {
   "en": "Interval Contractor Propagation",
   "zh": "区间 contractor 传播",
   "level": "l2"
  },
  "CAP_618bbc93": {
   "en": "HC4 Forward-Backward Contractor",
   "zh": "HC4 前向后向 contractor",
   "level": "l3"
  },
  "CAP_96494505": {
   "en": "Interval Gauss-Seidel Contractor",
   "zh": "区间 Gauss-Seidel contractor",
   "level": "l3"
  },
  "CAP_d2ff00d4": {
   "en": "Integer-to-Boolean Literal Encoding",
   "zh": "整数-布尔直接量编码",
   "level": "l3"
  },
  "CAP_ba58fcc8": {
   "en": "Constraint Hierarchy Annotation and Comparator Solving",
   "zh": "约束层级标注与比较器求解",
   "level": "l2"
  },
  "CAP_6e18ec7b": {
   "en": "Incremental Dual Simplex Linear Constraint Hierarchy Solving",
   "zh": "增量对偶 simplex 线性约束层级求解",
   "level": "l3"
  },
  "CAP_90310736": {
   "en": "Local Propagation Constraint Hierarchy Solving",
   "zh": "局部传播约束层级求解",
   "level": "l3"
  },
  "CAP_c4629d0d": {
   "en": "WCSP Violation Cost Minimization Solving",
   "zh": "WCSP 违反代价最小化求解",
   "level": "l2"
  },
  "CAP_054ff409": {
   "en": "Soft Consistency Propagation Lower Bound Computation",
   "zh": "软一致性传播下界计算",
   "level": "l3"
  },
  "CAP_a895889b": {
   "en": "WCSP Branch-and-Bound Search",
   "zh": "WCSP 分支定界搜索",
   "level": "l3"
  },
  "CAP_4d18cfb5": {
   "en": "PDDL3 Preference Modeling and Relaxation Planning",
   "zh": "PDDL3 偏好建模与松弛规划",
   "level": "l2"
  },
  "CAP_da23a237": {
   "en": "Trajectory Constraint Preference Expression",
   "zh": "轨迹约束偏好表达",
   "level": "l3"
  },
  "CAP_bc2c37a0": {
   "en": "Oversubscription Goal Net-Benefit Maximization",
   "zh": "过订目标净效益最大化",
   "level": "l3"
  },
  "CAP_df06e474": {
   "en": "ConstraintHierarchyPartitioning",
   "zh": "约束层级划分",
   "level": "l3"
  },
  "CAP_6e0dea59": {
   "en": "IncrementalTableauUpdate",
   "zh": "增量Tableau更新",
   "level": "l3"
  },
  "CAP_ba6378f5": {
   "en": "Relaxation Level Selection",
   "zh": "放松层级选择",
   "level": "l3"
  },
  "CAP_acf6caab": {
   "en": "Delete-Effect Relaxation Strategy",
   "zh": "删除效果松弛策略",
   "level": "l2"
  },
  "CAP_1a025fbe": {
   "en": "Optimistic Constraint Relaxation Strategy",
   "zh": "乐观约束松弛策略",
   "level": "l2"
  },
  "CAP_967986d4": {
   "en": "Stream Constraint Declaration",
   "zh": "流约束声明",
   "level": "l3"
  },
  "CAP_aff3d19b": {
   "en": "Optimistic PDDL Reduction",
   "zh": "乐观PDDL归约",
   "level": "l3"
  },
  "CAP_e6b6276b": {
   "en": "Stream Sampling Certification",
   "zh": "流采样认证",
   "level": "l3"
  },
  "CAP_49b752d3": {
   "en": "Failure-Driven Constraint Re-injection",
   "zh": "失败驱动约束回灌",
   "level": "l3"
  },
  "CAP_1ecf99c7": {
   "en": "Soft Goal Utility Modeling",
   "zh": "软目标效用建模",
   "level": "l3"
  },
  "CAP_265335c8": {
   "en": "Net-Benefit Objective Construction",
   "zh": "净效益目标构造",
   "level": "l3"
  },
  "CAP_78028c00": {
   "en": "Goal Subset Selection",
   "zh": "目标子集选择",
   "level": "l3"
  },
  "CAP_b5b0ad85": {
   "en": "Net-Benefit Evaluation",
   "zh": "净效益评估",
   "level": "l3"
  },
  "CAP_85f17c93": {
   "en": "Sequential Impulse Solver",
   "zh": "顺序冲量求解器",
   "level": "l2"
  },
  "CAP_7ee6887f": {
   "en": "Contact Constraint Setup Velocity Level",
   "zh": "接触约束速度层装配",
   "level": "l3"
  },
  "CAP_70a61c56": {
   "en": "Joint and Motor Constraint Setup SI",
   "zh": "关节与马达约束装配（SI）",
   "level": "l3"
  },
  "CAP_685d7bf0": {
   "en": "MuJoCo Soft Convex Constraint Solver",
   "zh": "MuJoCo 软-凸约束求解器",
   "level": "l2"
  },
  "CAP_80a27019": {
   "en": "Drake SAP Solver",
   "zh": "Drake SAP 求解器",
   "level": "l3"
  },
  "CAP_06c63224": {
   "en": "Soft Convex Contact Modeling",
   "zh": "软-凸接触建模",
   "level": "l3"
  },
  "CAP_71321425": {
   "en": "PBD/XPBD Position Projection Solver",
   "zh": "PBD/XPBD 位置投影求解器",
   "level": "l2"
  },
  "CAP_5e54c8f1": {
   "en": "PBD Position Projection",
   "zh": "PBD 位置投影",
   "level": "l3"
  },
  "CAP_2be1518e": {
   "en": "LCP Time-Stepping Solver",
   "zh": "LCP 时间步进求解器",
   "level": "l2"
  },
  "CAP_911f616f": {
   "en": "Bullet MLCP Dantzig Solver",
   "zh": "Bullet MLCP Dantzig 求解器",
   "level": "l3"
  },
  "CAP_8ff17637": {
   "en": "Strict Complementarity Contact Modeling",
   "zh": "严格互补接触建模",
   "level": "l3"
  },
  "CAP_6432d1b6": {
   "en": "PDDLStream Domain and Stream Declaration",
   "zh": "PDDLStream 域与 Stream 声明",
   "level": "l2"
  },
  "CAP_940419a8": {
   "en": "Stream Declarative Specification",
   "zh": "Stream 声明式规约",
   "level": "l3"
  },
  "CAP_d1902c12": {
   "en": "Optimistic Symbolic Planning",
   "zh": "乐观符号规划",
   "level": "l2"
  },
  "CAP_93d2495a": {
   "en": "Optimistic Fact Initialization",
   "zh": "乐观事实初始化",
   "level": "l3"
  },
  "CAP_1af39d36": {
   "en": "FastDownward Symbolic Search",
   "zh": "FastDownward 符号搜索",
   "level": "l3"
  },
  "CAP_16f7ffa9": {
   "en": "Stream Certification and Pruning",
   "zh": "Stream 认证与剪枝",
   "level": "l2"
  },
  "CAP_e949aab0": {
   "en": "Candidate Plan Selection",
   "zh": "候选计划选择",
   "level": "l3"
  },
  "CAP_6659b5e2": {
   "en": "Stream Constraint Certification",
   "zh": "Stream 约束认证",
   "level": "l3"
  },
  "CAP_e4a2de60": {
   "en": "Infeasible Branch Pruning",
   "zh": "不可行分支剪枝",
   "level": "l3"
  },
  "CAP_45ef2bea": {
   "en": "Adaptive Explore-Exploit Balancing",
   "zh": "自适应探索-利用平衡",
   "level": "l3"
  },
  "CAP_c34a535a": {
   "en": "Logical Skeleton Modeling",
   "zh": "逻辑骨架建模",
   "level": "l2"
  },
  "CAP_1f2ee295": {
   "en": "Symbolic Action Set Declaration",
   "zh": "符号动作集声明",
   "level": "l3"
  },
  "CAP_a18f1647": {
   "en": "Skeleton Grammar Tree Construction",
   "zh": "骨架语法树构造",
   "level": "l3"
  },
  "CAP_7c88a2ce": {
   "en": "Goal Predicate Specification",
   "zh": "终止目标规约",
   "level": "l3"
  },
  "CAP_750a469b": {
   "en": "Skeleton Tree Search",
   "zh": "骨架树搜索",
   "level": "l2"
  },
  "CAP_747038fc": {
   "en": "Skeleton Tree Node Expansion",
   "zh": "树节点扩展",
   "level": "l3"
  },
  "CAP_1abfd1c3": {
   "en": "Skeleton Prioritization",
   "zh": "骨架优先级排序",
   "level": "l3"
  },
  "CAP_ac731518": {
   "en": "KOMO NLP Solving with Lazy Constraints",
   "zh": "KOMO NLP 求解与惰性约束激活",
   "level": "l2"
  },
  "CAP_09a759ff": {
   "en": "KOMO Decision Variable Assembly",
   "zh": "KOMO 决策变量装配",
   "level": "l3"
  },
  "CAP_48ef160c": {
   "en": "Lazy NLP Constraint Activation",
   "zh": "惰性 NLP 约束激活",
   "level": "l3"
  },
  "CAP_c7ca4bbd": {
   "en": "KOMO NLP Solver Execution",
   "zh": "KOMO NLP 求解器执行",
   "level": "l3"
  },
  "CAP_24b234f8": {
   "en": "Feedback Pruning and Convergence",
   "zh": "反馈收紧与剪枝",
   "level": "l2"
  },
  "CAP_958ed1cb": {
   "en": "NLP Infeasibility Detection",
   "zh": "NLP 不可行判定",
   "level": "l3"
  },
  "CAP_786ed648": {
   "en": "Skeleton Branch Pruning",
   "zh": "骨架分支剪枝",
   "level": "l3"
  },
  "CAP_01f58b1e": {
   "en": "LGP Convergence Check",
   "zh": "LGP 收敛检查",
   "level": "l3"
  },
  "CAP_8b80eb83": {
   "en": "ReKep Constraint Sequence Generation",
   "zh": "ReKep 约束序列生成",
   "level": "l2"
  },
  "CAP_85965fed": {
   "en": "DINOv2 Keypoint Proposal",
   "zh": "DINOv2 关键点提议",
   "level": "l3"
  },
  "CAP_121ce106": {
   "en": "Multi-View Keypoint Tracking",
   "zh": "多视角关键点追踪",
   "level": "l3"
  },
  "CAP_1a60dbd5": {
   "en": "ESDF Scene Reconstruction",
   "zh": "ESDF 场景重建",
   "level": "l3"
  },
  "CAP_37f36205": {
   "en": "ReKep Constraint Code Generation",
   "zh": "ReKep 约束代码生成",
   "level": "l3"
  },
  "CAP_8e652f5f": {
   "en": "Subgoal Constraint Solver",
   "zh": "Subgoal约束求解器",
   "level": "l3"
  },
  "CAP_4acdc19f": {
   "en": "Path Constraint Solver",
   "zh": "Path约束求解器",
   "level": "l3"
  },
  "CAP_04e7446d": {
   "en": "Hierarchical Tightening Loop",
   "zh": "层级收紧循环",
   "level": "l3"
  },
  "CAP_9f3e84df": {
   "en": "Keypoint Drift Replanning",
   "zh": "关键点漂移重规划",
   "level": "l3"
  },
  "CAP_60dc630d": {
   "en": "Consistency Cost Injection",
   "zh": "一致性代价注入",
   "level": "l3"
  },
  "CAP_6eea5b9b": {
   "en": "SE(3)-to-Joint IK Bridge",
   "zh": "SE(3)到关节IK桥接",
   "level": "l3"
  },
  "CAP_3e424312": {
   "en": "Keypoint Proposal and Tracking",
   "zh": "关键点提议与追踪",
   "level": "l2"
  },
  "CAP_3c788c9c": {
   "en": "Keypoint Clustering",
   "zh": "关键点聚类",
   "level": "l3"
  },
  "CAP_ed9036b5": {
   "en": "ReKep Constraint Generation",
   "zh": "ReKep约束生成",
   "level": "l2"
  },
  "CAP_549f3142": {
   "en": "Hierarchical Optimization",
   "zh": "层级优化",
   "level": "l3"
  },
  "CAP_b4f91da6": {
   "en": "Subgoal Optimization",
   "zh": "子目标优化",
   "level": "l3"
  },
  "CAP_a6ba37fd": {
   "en": "Path Optimization",
   "zh": "路径优化",
   "level": "l3"
  },
  "CAP_a124fee0": {
   "en": "Trajectory Execution and Monitoring",
   "zh": "轨迹执行与监控",
   "level": "l2"
  },
  "CAP_27e6d9e0": {
   "en": "Consumable Estimation and Depot Planning",
   "zh": "消耗品用量预估与补给点规划",
   "level": "l2"
  },
  "CAP_909509e1": {
   "en": "Consumable Usage Estimation",
   "zh": "消耗品用量预估",
   "level": "l3"
  },
  "CAP_64fee32a": {
   "en": "Refill Depot Set Minimization",
   "zh": "补给点最小集合覆盖",
   "level": "l3"
  },
  "CAP_99d9fe20": {
   "en": "Capacity-Constrained Coverage Routing",
   "zh": "容量约束覆盖路由",
   "level": "l3"
  },
  "CAP_e0bae89e": {
   "en": "Rendezvous and Online Replenishment Replanning",
   "zh": "会合与在线补给重规划",
   "level": "l2"
  },
  "CAP_53dd5193": {
   "en": "Cooperative Rendezvous Planning",
   "zh": "协同会合规划",
   "level": "l3"
  },
  "CAP_0d9c573d": {
   "en": "Online Consumable Replenishment Replanning",
   "zh": "在线消耗品补给重规划",
   "level": "l3"
  },
  "CAP_0bc499c7": {
   "en": "Worker Perception and Policy Planning",
   "zh": "Worker状态感知与策略学习规划",
   "level": "l2"
  },
  "CAP_b2c78071": {
   "en": "Worker Consumable State Perception",
   "zh": "Worker消耗品状态感知",
   "level": "l3"
  },
  "CAP_5b4343dc": {
   "en": "Worker Navigation and Task Policy Learning",
   "zh": "Worker导航与任务策略学习",
   "level": "l3"
  },
  "CAP_ab9a270a": {
   "en": "Station Rendezvous Strategy Learning",
   "zh": "Station会合策略学习",
   "level": "l3"
  },
  "CAP_ee287104": {
   "en": "Decentralized Execution and Disturbance Avoidance Planning",
   "zh": "分散执行与干扰避让规划",
   "level": "l2"
  },
  "CAP_ba9a6234": {
   "en": "Decentralized Execution and Collision Avoidance",
   "zh": "分散执行与碰撞避让",
   "level": "l3"
  },
  "CAP_e4bb29fc": {
   "en": "Disturbance-Aware Replenishment Rendezvous",
   "zh": "干扰感知补给会合",
   "level": "l3"
  },
  "CAP_778b7ed3": {
   "en": "Surface Segmentation and Region Allocation Planning",
   "zh": "表面分割与区域分配规划",
   "level": "l2"
  },
  "CAP_d4b3a700": {
   "en": "Surface Segmentation and Coverage Region Generation",
   "zh": "表面分割与覆盖区域生成",
   "level": "l3"
  },
  "CAP_2b20fc90": {
   "en": "Workpiece Region VRP Allocation",
   "zh": "工件区域VRP分配",
   "level": "l3"
  },
  "CAP_cff34712": {
   "en": "Coating Sequence and Trajectory Planning",
   "zh": "喷涂顺序与轨迹规划",
   "level": "l2"
  },
  "CAP_09657b00": {
   "en": "Coating Sequence Optimization",
   "zh": "喷涂顺序优化",
   "level": "l3"
  },
  "CAP_b350e192": {
   "en": "Trajectory Planning and Paint Volume Control",
   "zh": "轨迹规划与涂料流量控制",
   "level": "l3"
  },
  "CAP_f88b7c6b": {
   "en": "Paint Quota Management and Supply Scheduling",
   "zh": "涂料配额管理与供应调度",
   "level": "l3"
  },
  "CAP_541a6b6c": {
   "en": "Numeric Flow and PDDL Domain Planning",
   "zh": "数值流建模与PDDL域构造规划",
   "level": "l2"
  },
  "CAP_0a77e69e": {
   "en": "Numeric Consumable Flow Modeling",
   "zh": "数值消耗品流建模",
   "level": "l3"
  },
  "CAP_872f081c": {
   "en": "PDDL 2.1 Domain Construction",
   "zh": "PDDL 2.1域构造",
   "level": "l3"
  },
  "CAP_48969ec1": {
   "en": "Resource-Constrained Temporal Planning",
   "zh": "资源约束时序规划",
   "level": "l3"
  },
  "CAP_f2069941": {
   "en": "Consumable Replenishment Trigger",
   "zh": "消耗品补给触发",
   "level": "l3"
  },
  "CAP_d79b244b": {
   "en": "Selective Impedance Control",
   "zh": "选择性阻抗控制",
   "level": "l2"
  },
  "CAP_39a370b4": {
   "en": "Contact NDT and Disturbance Rejection",
   "zh": "接触式 NDT 采集与抗扰",
   "level": "l2"
  },
  "CAP_67a4c85f": {
   "en": "Aerial Contact State Estimation",
   "zh": "空中接触状态估计",
   "level": "l3"
  },
  "CAP_3e9ab472": {
   "en": "Manifold Contact Path Planning",
   "zh": "流形接触路径规划",
   "level": "l3"
  },
  "CAP_e791e1e0": {
   "en": "Selective Impedance Wrench Control",
   "zh": "选择性阻抗 wrench 控制",
   "level": "l3"
  },
  "CAP_275376fd": {
   "en": "Contactless External Force Estimation",
   "zh": "无接触外力估计",
   "level": "l3"
  },
  "CAP_2c2c7e88": {
   "en": "Depth-Servoed Contact Engagement",
   "zh": "深度伺服接触建立",
   "level": "l3"
  },
  "CAP_1668726b": {
   "en": "Contact NDT Payload Acquisition",
   "zh": "接触式 NDT 载荷采集",
   "level": "l3"
  },
  "CAP_bc58e3b8": {
   "en": "Contact Disturbance Rejection",
   "zh": "接触扰动抑制",
   "level": "l3"
  },
  "CAP_6b0d7eba": {
   "en": "Dual-Arm Aerial Modeling",
   "zh": "双臂空中建模",
   "level": "l2"
  },
  "CAP_ea959cc5": {
   "en": "Arm-Base Control",
   "zh": "臂底座控制",
   "level": "l2"
  },
  "CAP_c671bc85": {
   "en": "Inspection Execution",
   "zh": "巡检执行",
   "level": "l2"
  },
  "CAP_1fb145f2": {
   "en": "Dual-Arm Aerial Manipulator Modeling",
   "zh": "双臂空中操作器建模",
   "level": "l3"
  },
  "CAP_900a01cf": {
   "en": "Arm-Base Coupled Dynamics",
   "zh": "臂-底座耦合动力学",
   "level": "l3"
  },
  "CAP_13612f11": {
   "en": "Lightweight Compliant Arm Design",
   "zh": "轻量柔顺机械臂设计",
   "level": "l3"
  },
  "CAP_792fadb1": {
   "en": "Physical-Virtual Impedance Fusion",
   "zh": "物理-虚拟阻抗融合",
   "level": "l3"
  },
  "CAP_e7fdf6ff": {
   "en": "Arm Joint Torque Wrench Estimation",
   "zh": "臂关节力矩 wrench 估计",
   "level": "l3"
  },
  "CAP_c0c057bf": {
   "en": "Industrial NDT Inspection Execution",
   "zh": "工业 NDT 巡检执行",
   "level": "l3"
  },
  "CAP_92d0b502": {
   "en": "Contact Disturbance Rejection for Arm",
   "zh": "臂接触扰动抑制",
   "level": "l3"
  },
  "CAP_722a8266": {
   "en": "Multi-Arm Teleoperation",
   "zh": "多臂遥操作",
   "level": "l3"
  },
  "CAP_822f37a4": {
   "en": "Tethered System Deployment",
   "zh": "系绳系统部署",
   "level": "l2"
  },
  "CAP_0fc72bf3": {
   "en": "Standoff and Tool Control",
   "zh": "间距与工具控制",
   "level": "l2"
  },
  "CAP_ba61c20c": {
   "en": "UT Contact and Coverage",
   "zh": "UT 接触与覆盖",
   "level": "l2"
  },
  "CAP_1e2f3f46": {
   "en": "Reaction Force and Disturbance Rejection",
   "zh": "反力补偿与抗扰",
   "level": "l2"
  },
  "CAP_09ed0503": {
   "en": "Tethered Ground Power Integration",
   "zh": "系绳地面供电集成",
   "level": "l3"
  },
  "CAP_d06f838e": {
   "en": "High Pressure Pump and Hose Integration",
   "zh": "高压泵与软管集成",
   "level": "l3"
  },
  "CAP_21d432cb": {
   "en": "Standoff Distance and Perpendicularity Maintenance",
   "zh": "间距与垂直度保持",
   "level": "l3"
  },
  "CAP_bd032dc7": {
   "en": "Articulated Arm End-Effector Swap",
   "zh": "关节臂末端切换",
   "level": "l3"
  },
  "CAP_9d7bfcb3": {
   "en": "UT Probe Contact Sequence with Couplant",
   "zh": "UT 探头接触序列与耦合剂",
   "level": "l3"
  },
  "CAP_267511cf": {
   "en": "Vertical Surface Coverage Path Planning",
   "zh": "垂直面覆盖路径规划",
   "level": "l3"
  },
  "CAP_652df59f": {
   "en": "High Pressure Spray Reaction Force Compensation",
   "zh": "高压射流反力补偿",
   "level": "l3"
  },
  "CAP_2a647cca": {
   "en": "Wind and Tether Disturbance Rejection",
   "zh": "风扰与系绳扰抑制",
   "level": "l3"
  },
  "CAP_6814767e": {
   "en": "Measurement Data Export and ERP Integration",
   "zh": "测量数据导出与 ERP 集成",
   "level": "l3"
  },
  "CAP_8c714237": {
   "en": "Dual-Threshold Phase-Aware Collision Judgment",
   "zh": "双门限相位感知碰撞判决",
   "level": "l3"
  },
  "CAP_9d83ad51": {
   "en": "Collision Alert Feedback Encoding and Rendering",
   "zh": "碰撞警示反馈编码与渲染",
   "level": "l2"
  },
  "CAP_3e22ae33": {
   "en": "Collision Distance Prediction and Warning Force Generation",
   "zh": "碰撞距离预测与预警力生成",
   "level": "l2"
  },
  "CAP_04a171b9": {
   "en": "Collision Event Alert Signal Encoding",
   "zh": "碰撞事件警示信号编码",
   "level": "l3"
  },
  "CAP_21bc8cd9": {
   "en": "Alert Force Pulse Rendering",
   "zh": "警示力脉冲渲染",
   "level": "l3"
  },
  "CAP_98ca18b2": {
   "en": "End-Effector Pose Prediction",
   "zh": "末端位姿预测",
   "level": "l3"
  },
  "CAP_728252d4": {
   "en": "Graduated Warning Force Generation",
   "zh": "渐进预警力生成",
   "level": "l3"
  },
  "CAP_46c9783d": {
   "en": "Warning Torque Fusion and Master Rendering",
   "zh": "预警力矩融合与主端渲染",
   "level": "l3"
  },
  "CAP_3183fbfa": {
   "en": "Contact Aware Motion Planning Pipeline",
   "zh": "接触感知运动规划流水线",
   "level": "l2"
  },
  "CAP_83fae62b": {
   "en": "Drake Multibody Contact Modeling",
   "zh": "Drake 多刚体接触建模",
   "level": "l3"
  },
  "CAP_b4bb2517": {
   "en": "Direct Collocation Trajectory Discretization",
   "zh": "直接配点轨迹离散化",
   "level": "l3"
  },
  "CAP_9faa87e5": {
   "en": "Contact Implicit Complementarity Formulation",
   "zh": "接触隐式互补条件建模",
   "level": "l3"
  },
  "CAP_dc4c7238": {
   "en": "Smooth Contact Surrogate Relaxation",
   "zh": "平滑接触代理松弛",
   "level": "l3"
  },
  "CAP_57120564": {
   "en": "Approach and Contact Trajectory Generation",
   "zh": "PTP接近与LIN接触轨迹生成",
   "level": "l3"
  },
  "CAP_413c984b": {
   "en": "Motion Sequence Composition and Execution",
   "zh": "运动序列组合与执行",
   "level": "l3"
  },
  "CAP_d6fc30ce": {
   "en": "Semantic Task Parsing and MTC Composition",
   "zh": "语义任务解析与MTC组合",
   "level": "l3"
  },
  "CAP_d662d3cc": {
   "en": "Free Space Contact Phase Decomposition",
   "zh": "自由空间接触相位分解",
   "level": "l3"
  },
  "CAP_c93853de": {
   "en": "Force Aware Contact Phase Transition",
   "zh": "力感知接触相位过渡",
   "level": "l3"
  },
  "CAP_a0f60995": {
   "en": "MTC Multi Stage Task Graph Construction",
   "zh": "MTC多阶段任务图构建",
   "level": "l3"
  },
  "CAP_0b1c2d3e": {
   "en": "Imitation and Reinforcement Policy Training",
   "zh": "策略训练（IL/RL）",
   "level": "l3"
  },
  "CAP_7ab4a95a": {
   "en": "Visuotactile Contact Rich Observation Encoding",
   "zh": "视触觉接触密集观测编码",
   "level": "l3"
  },
  "CAP_fe44543a": {
   "en": "Implicit Contact Mode Learning via Diffusion",
   "zh": "扩散隐式接触模式学习",
   "level": "l3"
  },
  "CAP_290af130": {
   "en": "Receding Horizon Contact Rich Action Execution",
   "zh": "滚动时域接触密集动作执行",
   "level": "l3"
  },
  "CAP_76283513": {
   "en": "Decoupled Contact Sequence and Wrench Planning",
   "zh": "解耦接触序列与力规划",
   "level": "l2"
  },
  "CAP_4b9f45b7": {
   "en": "Multi-Contact Phase Sequence OCP Construction",
   "zh": "多接触相序列 OCP 构造",
   "level": "l3"
  },
  "CAP_68ea5be9": {
   "en": "Joint Torque Sensor Bias Calibration",
   "zh": "关节力矩传感器零偏标定",
   "level": "l3"
  },
  "CAP_8a0c88fc": {
   "en": "Joint Torque Sensor External Torque Estimation",
   "zh": "关节力矩传感器外部力矩估计",
   "level": "l3"
  },
  "CAP_ffd12346": {
   "en": "Joint Torque Four-Group Threshold Gating",
   "zh": "关节扭矩四组阈值门控与越限事件输出",
   "level": "l3"
  },
  "CAP_0c954419": {
   "en": "GelSight BioTac Tactile Feature Extraction",
   "zh": "GelSight BioTac触觉特征提取",
   "level": "l3"
  },
  "CAP_6ed371b5": {
   "en": "GelSight Tactile Encoder CNN",
   "zh": "GelSight触觉编码器CNN",
   "level": "l3"
  },
  "CAP_0fa0cfa8": {
   "en": "Visuotactile Slip Detection and Grasp Quality Prediction",
   "zh": "视触觉滑移检测与抓取质量预测",
   "level": "l3"
  },
  "CAP_dbb8b1e6": {
   "en": "Tactile Reactive MPC Force Regulation",
   "zh": "触觉反应式MPC力调节",
   "level": "l3"
  },
  "CAP_fb1e093f": {
   "en": "JointTorqueStateAcquisition",
   "zh": "关节力矩状态采集",
   "level": "l3"
  },
  "CAP_5a1a0001": {
   "en": "GJK-EPA Convex Narrowphase Detection",
   "zh": "GJK-EPA 凸接触窄相检测",
   "level": "l2"
  },
  "CAP_b9bd399c": {
   "en": "Convex Support Function Dispatch",
   "zh": "凸形状 support 函数派发",
   "level": "l3"
  },
  "CAP_0a938307": {
   "en": "Contact Manifold Generation",
   "zh": "接触流形生成与持久化",
   "level": "l3"
  },
  "CAP_f0059865": {
   "en": "BVH Mesh Collision Detection",
   "zh": "BVH 宽相 + Mesh 窄相接触检测",
   "level": "l2"
  },
  "CAP_d2d8e362": {
   "en": "Mesh Primitive Narrowphase Dispatch",
   "zh": "Mesh-Primitive 窄相派发",
   "level": "l3"
  },
  "CAP_8a4674b4": {
   "en": "Collision Result Aggregation",
   "zh": "接触结果聚合与输出",
   "level": "l3"
  },
  "CAP_8545d94f": {
   "en": "SAP Primitive Narrowphase",
   "zh": "SAP 宽相 + 凸基元窄相接触检测",
   "level": "l2"
  },
  "CAP_17e61fdb": {
   "en": "GPU Voxel Collision Detection",
   "zh": "GPU 并行体素碰撞检测",
   "level": "l2"
  },
  "CAP_9e3711dc": {
   "en": "Mesh And Point Cloud Voxelization",
   "zh": "mesh 与点云体素化预处理",
   "level": "l3"
  },
  "CAP_22f96755": {
   "en": "MuJoCo Convex Soft Contact Pipeline",
   "zh": "MuJoCo 凸软接触仿真管线",
   "level": "l2"
  },
  "CAP_91aedccc": {
   "en": "MJCF Model And Contact Parameter Configuration",
   "zh": "MJCF 模型与接触参数配置",
   "level": "l3"
  },
  "CAP_c5e419df": {
   "en": "MuJoCo Collision And Jacobian Construction",
   "zh": "MuJoCo 碰撞检测与约束 Jacobian 构造",
   "level": "l3"
  },
  "CAP_bf982974": {
   "en": "MuJoCo Convex QP Contact Force Solver",
   "zh": "MuJoCo 凸 QP 接触力求解器",
   "level": "l3"
  },
  "CAP_951c7572": {
   "en": "MuJoCo Forward Dynamics Integration",
   "zh": "MuJoCo 前向动力学积分",
   "level": "l3"
  },
  "CAP_65a40740": {
   "en": "MuJoCo Contact Result And Analytical Inverse Dynamics",
   "zh": "MuJoCo 接触结果与解析逆动力学",
   "level": "l3"
  },
  "CAP_0364cfab": {
   "en": "Drake SAP Complementarity-Free Contact Pipeline",
   "zh": "Drake SAP 互补性免除接触仿真管线",
   "level": "l2"
  },
  "CAP_741687ff": {
   "en": "Drake MultibodyPlant SceneGraph Configuration",
   "zh": "Drake MultibodyPlant 与 SceneGraph 配置",
   "level": "l3"
  },
  "CAP_ee270c74": {
   "en": "Drake Hydroelastic Contact Surface Construction",
   "zh": "Drake hydroelastic 接触面构造",
   "level": "l3"
  },
  "CAP_5706b38c": {
   "en": "Drake SAP Contact Solver",
   "zh": "Drake SAP 接触求解器",
   "level": "l3"
  },
  "CAP_bd13b45a": {
   "en": "Drake Discrete Time Step State Update",
   "zh": "Drake 离散时间步进状态更新",
   "level": "l3"
  },
  "CAP_c7c26e41": {
   "en": "Drake ContactResults And AutoDiffxd Gradient",
   "zh": "Drake ContactResults 与 AutoDiffxd 梯度",
   "level": "l3"
  },
  "CAP_856e2aa4": {
   "en": "IPC Variational Barrier Contact Pipeline",
   "zh": "IPC 变分势垒接触仿真管线",
   "level": "l2"
  },
  "CAP_b6190802": {
   "en": "IPC Mesh And Material Model Loading",
   "zh": "IPC mesh 与材料模型加载",
   "level": "l3"
  },
  "CAP_26eb9221": {
   "en": "IPC CCD And Distance Barrier Computation",
   "zh": "IPC 连续碰撞检测与距离势垒计算",
   "level": "l3"
  },
  "CAP_c4c86f64": {
   "en": "IPC Variational Newton Time Stepper",
   "zh": "IPC 变分 Newton 时间步进器",
   "level": "l3"
  },
  "CAP_a0677436": {
   "en": "IPC Velocity And Friction Update",
   "zh": "IPC 速度与摩擦力更新",
   "level": "l3"
  },
  "CAP_8eb1711e": {
   "en": "IPC Intersection Free Output Extraction",
   "zh": "IPC 无穿透输出提取",
   "level": "l3"
  },
  "CAP_1d06970e": {
   "en": "SOFA FEM Deformable Contact Pipeline",
   "zh": "SOFA FEM 变形体接触仿真管线",
   "level": "l2"
  },
  "CAP_65e44f01": {
   "en": "SOFA Scene Graph And FEM Model Configuration",
   "zh": "SOFA 场景图与 FEM 模型配置",
   "level": "l3"
  },
  "CAP_50d813c3": {
   "en": "SOFA Collision Detection And Contact Constraint",
   "zh": "SOFA 碰撞检测与接触约束构造",
   "level": "l3"
  },
  "CAP_28ad8d02": {
   "en": "SOFA FEM And Contact Joint Solver",
   "zh": "SOFA FEM 与接触力联合求解器",
   "level": "l3"
  },
  "CAP_436008a2": {
   "en": "SOFA Time Integration And State Update",
   "zh": "SOFA 时间积分与状态更新",
   "level": "l3"
  },
  "CAP_26b7c125": {
   "en": "SOFA Output And Real Time Rendering",
   "zh": "SOFA 输出与实时渲染",
   "level": "l3"
  },
  "CAP_313881f1": {
   "en": "LCP NCP Hard Complementarity Contact Pipeline",
   "zh": "LCP/NCP 硬互补接触仿真管线",
   "level": "l2"
  },
  "CAP_3b4dc4fd": {
   "en": "URDF And LCP Contact Parameter Configuration",
   "zh": "URDF 加载与 LCP 接触参数配置",
   "level": "l3"
  },
  "CAP_51629092": {
   "en": "LCP Contact Constraint Collision Construction",
   "zh": "LCP 接触约束碰撞检测与构造",
   "level": "l3"
  },
  "CAP_ee4465d7": {
   "en": "Impulse Based Discrete State Update",
   "zh": "冲量法离散状态更新",
   "level": "l3"
  },
  "CAP_376a1fb2": {
   "en": "Contact Result And Legged RL Application",
   "zh": "接触结果提取与足式 RL 应用",
   "level": "l3"
  },
  "CAP_d485b277": {
   "en": "F/T Sensor Acquisition and Calibration",
   "zh": "力/力矩传感器接入与标定",
   "level": "l2"
  },
  "CAP_829c674f": {
   "en": "F/T Sensor Raw Reading Acquisition",
   "zh": "F/T 传感器原始读数获取",
   "level": "l3"
  },
  "CAP_488fec95": {
   "en": "F/T Sensor Bias/Null Calibration",
   "zh": "F/T传感器零偏标定",
   "level": "l3"
  },
  "CAP_fef824eb": {
   "en": "End-Effector Tool Gravity Parameter Identification",
   "zh": "末端工具重力参数辨识",
   "level": "l3"
  },
  "CAP_7d0f0f7f": {
   "en": "F/T Sensor Compensation and Transform",
   "zh": "F/T 传感器补偿与坐标变换",
   "level": "l2"
  },
  "CAP_d1b2a47f": {
   "en": "Sensor to End-Effector Wrench Transform",
   "zh": "传感器到末端 wrench 坐标变换",
   "level": "l3"
  },
  "CAP_e991f4e1": {
   "en": "Contact Force Low-Pass Filtering",
   "zh": "接触力低通滤波",
   "level": "l3"
  },
  "CAP_08ffb540": {
   "en": "Joint Torque Acquisition and Dynamics Model Identification",
   "zh": "关节力矩获取与动力学模型辨识",
   "level": "l2"
  },
  "CAP_c8658712": {
   "en": "External Torque Observer Estimation",
   "zh": "外部力矩观测器估计",
   "level": "l2"
  },
  "CAP_713acf72": {
   "en": "Disturbance Kalman Filter External Torque Estimation",
   "zh": "扰动卡尔曼滤波器外部力矩估计",
   "level": "l3"
  },
  "CAP_31c3febb": {
   "en": "Joint Torque to Cartesian Wrench Mapping",
   "zh": "关节力矩到笛卡尔 wrench 反推",
   "level": "l2"
  },
  "CAP_b5dd6de8": {
   "en": "Jacobian Transpose End-Effector Wrench Recovery",
   "zh": "雅可比转置末端 wrench 反推",
   "level": "l3"
  },
  "CAP_1c99f431": {
   "en": "Observer Residual Filtering and Gain Tuning",
   "zh": "观测器残差滤波与增益整定",
   "level": "l3"
  },
  "CAP_d655693c": {
   "en": "No-Load Residual Baseline Calibration",
   "zh": "空载残差基线标定",
   "level": "l3"
  },
  "CAP_81e12a7d": {
   "en": "Joint Friction Model Identification",
   "zh": "关节摩擦模型辨识",
   "level": "l3"
  },
  "CAP_10c19c01": {
   "en": "Distributed Contact Force Estimation",
   "zh": "分布接触力估计",
   "level": "l2"
  },
  "CAP_97c479cc": {
   "en": "Tactile Sensor No-Load Reference Calibration",
   "zh": "触觉传感器无受力基准标定",
   "level": "l3"
  },
  "CAP_ec41c973": {
   "en": "Tactile Sensor Temperature Drift Compensation",
   "zh": "触觉传感器温漂补偿",
   "level": "l3"
  },
  "CAP_5a16db82": {
   "en": "Neural Network Contact Force Distribution Regression",
   "zh": "神经网络接触力分布回归",
   "level": "l3"
  },
  "CAP_76bdf8cf": {
   "en": "Normal and Shear Force Decomposition and Slip Detection",
   "zh": "法向/切向力分解与滑移检测",
   "level": "l3"
  },
  "CAP_19c1ae7c": {
   "en": "Tactile Transformer DIGIT Encoding",
   "zh": "Tactile Transformer DIGIT 触觉编码",
   "level": "l3"
  },
  "CAP_bec5f74f": {
   "en": "Contact Force Verification Measurement Setup",
   "zh": "接触力验证测量准备",
   "level": "l2"
  },
  "CAP_a2d530d5": {
   "en": "ISO TS 15066 Measurement Case Design",
   "zh": "ISO TS 15066 测量用例设计",
   "level": "l3"
  },
  "CAP_c2587a81": {
   "en": "Force Pressure Measurement Instrument Deployment",
   "zh": "力压力测量仪器部署",
   "level": "l3"
  },
  "CAP_2268632b": {
   "en": "Contact Force Measurement and Acceptance Judgment",
   "zh": "接触力测量与验收判定",
   "level": "l2"
  },
  "CAP_21252a70": {
   "en": "Contact Force Pressure Measurement",
   "zh": "接触力压力测量",
   "level": "l3"
  },
  "CAP_6e5091cb": {
   "en": "ISO TS 15066 Limit Acceptance Judgment",
   "zh": "ISO TS 15066 限值验收判定",
   "level": "l3"
  },
  "CAP_bccb836e": {
   "en": "Force-Trace MaxEnt Deep Reward Inference",
   "zh": "力传感轨迹最大熵深度奖励推断",
   "level": "l3"
  },
  "CAP_f430926c": {
   "en": "Force-Aware Demonstration Feature Engineering",
   "zh": "力感知示教特征工程",
   "level": "l3"
  },
  "CAP_e0acfd6e": {
   "en": "MaxEnt Deep Reward Network Training",
   "zh": "最大熵深度奖励网络训练",
   "level": "l3"
  },
  "CAP_64c9c0ec": {
   "en": "State Visitation Frequency Matching",
   "zh": "状态访问频次匹配",
   "level": "l3"
  },
  "CAP_5412e1a6": {
   "en": "Contact Reward Inference from Force Traces",
   "zh": "力轨迹接触奖励推断",
   "level": "l3"
  },
  "CAP_d8442acd": {
   "en": "Reward-Guided Contact Policy Optimization",
   "zh": "奖励引导接触策略优化",
   "level": "l3"
  },
  "CAP_cb69b166": {
   "en": "Force Trajectory Feature Engineering",
   "zh": "力传感轨迹特征工程",
   "level": "l2"
  },
  "CAP_83612583": {
   "en": "Force-Torque State Extraction",
   "zh": "力-力矩状态提取",
   "level": "l3"
  },
  "CAP_1ce49a39": {
   "en": "Feature Discretization and Encoding",
   "zh": "特征离散化与编码",
   "level": "l3"
  },
  "CAP_8e864074": {
   "en": "Deep MaxEnt IRL Reward Inference",
   "zh": "深度最大熵IRL奖励推断",
   "level": "l2"
  },
  "CAP_69353681": {
   "en": "Reward Network Gradient Update",
   "zh": "奖励网络梯度更新",
   "level": "l3"
  },
  "CAP_bf9a2d79": {
   "en": "Contact Reward Deployment and Validation",
   "zh": "接触奖励落地与验证",
   "level": "l2"
  },
  "CAP_5257a093": {
   "en": "Wrench Space Reward Mapping",
   "zh": "力空间奖励映射",
   "level": "l3"
  },
  "CAP_4e3e2adc": {
   "en": "Policy Evaluation with Inferred Reward",
   "zh": "基于推断奖励的策略评估",
   "level": "l3"
  },
  "CAP_2d9eee32": {
   "en": "Demonstration Data Acquisition and Preprocessing",
   "zh": "演示数据采集与预处理",
   "level": "l2"
  },
  "CAP_80478019": {
   "en": "Trajectory Filtering and Alignment",
   "zh": "轨迹滤波与对齐",
   "level": "l3"
  },
  "CAP_efa3e462": {
   "en": "Deep Inverse Reinforcement Learning Reward Approximation",
   "zh": "深度逆强化学习奖励函数近似",
   "level": "l2"
  },
  "CAP_709c49b8": {
   "en": "Feature Extraction from Demonstrations",
   "zh": "演示特征提取",
   "level": "l3"
  },
  "CAP_8fa14259": {
   "en": "MaxEnt IRL Optimization",
   "zh": "最大熵逆强化学习优化",
   "level": "l3"
  },
  "CAP_31ccd901": {
   "en": "Reward Function Validation",
   "zh": "奖励函数验证",
   "level": "l3"
  },
  "CAP_6f514289": {
   "en": "Policy Optimization and Contact Skill Reproduction",
   "zh": "策略优化与接触技能复现",
   "level": "l2"
  },
  "CAP_94e727c3": {
   "en": "Policy Learning with Inferred Reward",
   "zh": "基于推断奖励的策略学习",
   "level": "l3"
  },
  "CAP_cea879b1": {
   "en": "Sim-to-Real Transfer and Evaluation",
   "zh": "仿真到真实迁移与评估",
   "level": "l3"
  },
  "CAP_87060510": {
   "en": "Contact Force Demonstration Collection",
   "zh": "力觉接触演示采集",
   "level": "l3"
  },
  "CAP_2734ea23": {
   "en": "Contact Augmented State Construction",
   "zh": "接触状态增广",
   "level": "l3"
  },
  "CAP_474c9923": {
   "en": "Disentangled AIRL Discriminator Construction",
   "zh": "解耦AIRL判别器构建",
   "level": "l3"
  },
  "CAP_f75b8ea2": {
   "en": "Generator Policy Initialization",
   "zh": "生成策略初始化",
   "level": "l3"
  },
  "CAP_3130b814": {
   "en": "Adversarial Discriminator-Policy Training",
   "zh": "对抗式判别器-策略训练",
   "level": "l3"
  },
  "CAP_9e069f26": {
   "en": "Convergence Judgement",
   "zh": "收敛判断",
   "level": "l3"
  },
  "CAP_3d6ba32c": {
   "en": "Disentangled Reward Extraction",
   "zh": "解耦奖励提取",
   "level": "l3"
  },
  "CAP_33ba624b": {
   "en": "Cross-Dynamics Reward Reoptimization",
   "zh": "跨动力学奖励重优化",
   "level": "l3"
  },
  "CAP_3b4366aa": {
   "en": "Force Demonstration and State Augmentation",
   "zh": "力演示与状态增强",
   "level": "l2"
  },
  "CAP_4d8a709d": {
   "en": "Force-Aware State Augmentation",
   "zh": "力感知状态增广",
   "level": "l3"
  },
  "CAP_b75c0f77": {
   "en": "Adversarial Contact Reward Learning",
   "zh": "对抗式接触奖励学习",
   "level": "l2"
  },
  "CAP_14608838": {
   "en": "Disentangled Discriminator",
   "zh": "解耦判别器",
   "level": "l3"
  },
  "CAP_ba5435c2": {
   "en": "Transferable Contact Reward Deployment",
   "zh": "可迁移接触奖励部署",
   "level": "l2"
  },
  "CAP_c36d077d": {
   "en": "Force-Centric Grip Policy Imitation Pipeline",
   "zh": "力觉模仿学习夹持力策略流水线",
   "level": "l2"
  },
  "CAP_773bd4a7": {
   "en": "Force-Motion Demonstration Capture",
   "zh": "力-位演示数据采集",
   "level": "l3"
  },
  "CAP_6abeeefc": {
   "en": "Hybrid Force-Position Imitation Policy Training",
   "zh": "力-位混合模仿策略训练",
   "level": "l3"
  },
  "CAP_b6cda815": {
   "en": "Hybrid Force-Position Control Primitive Execution",
   "zh": "混合力-位控制基元执行",
   "level": "l3"
  },
  "CAP_01b2661b": {
   "en": "Force-Centric Demonstration Collection",
   "zh": "力觉演示数据采集",
   "level": "l2"
  },
  "CAP_e3dee9c7": {
   "en": "ForceCapture Data Acquisition",
   "zh": "ForceCapture数据采集",
   "level": "l3"
  },
  "CAP_9591c8a2": {
   "en": "Gravity Compensation and Force Extraction",
   "zh": "重力补偿与力提取",
   "level": "l3"
  },
  "CAP_5ede7780": {
   "en": "Point Cloud Processing for IL",
   "zh": "点云处理（模仿学习用）",
   "level": "l3"
  },
  "CAP_4432b4ab": {
   "en": "Force-Centric Imitation Policy Learning",
   "zh": "力觉模仿策略学习",
   "level": "l2"
  },
  "CAP_9c0be61f": {
   "en": "HybridIL Diffusion Policy Training",
   "zh": "HybridIL扩散策略训练",
   "level": "l3"
  },
  "CAP_d10fa091": {
   "en": "Force Threshold Penalty",
   "zh": "力阈值惩罚",
   "level": "l3"
  },
  "CAP_cce573d8": {
   "en": "Contact Bonus and Safety Reward",
   "zh": "接触奖励与安全奖励",
   "level": "l3"
  },
  "CAP_1e2b1b89": {
   "en": "Early Termination Reward",
   "zh": "提前终止奖励",
   "level": "l3"
  },
  "CAP_9f8fb848": {
   "en": "Real-World Deployment with Hybrid Force-Position Control",
   "zh": "真机部署与力-位混合控制",
   "level": "l2"
  },
  "CAP_8162d6e0": {
   "en": "Policy Inference and Action Prediction",
   "zh": "策略推理与动作预测",
   "level": "l3"
  },
  "CAP_30ff00da": {
   "en": "Hybrid Force-Position Control Execution",
   "zh": "混合力-位控制执行",
   "level": "l3"
  },
  "CAP_3a278803": {
   "en": "Convex-Relaxation Contact Planning",
   "zh": "凸松弛接触规划",
   "level": "l2"
  },
  "CAP_bb86ce00": {
   "en": "Contact-Mode Graph-of-Convex-Sets Modeling",
   "zh": "接触模式图凸集建模",
   "level": "l3"
  },
  "CAP_ab87f2ac": {
   "en": "Quasi-Static Contact Dynamics Convex Relaxation",
   "zh": "准静态接触动力学凸松弛",
   "level": "l3"
  },
  "CAP_2d55eaa5": {
   "en": "GCS Convex Relaxation Solving",
   "zh": "图凸集凸松弛求解",
   "level": "l3"
  },
  "CAP_2396a475": {
   "en": "Rounding and Optimality Gap Estimation",
   "zh": "取整与最优性界估计",
   "level": "l3"
  },
  "CAP_c36a400a": {
   "en": "Contact Trust Region Local MPC",
   "zh": "接触信任域局部模型预测控制",
   "level": "l3"
  },
  "CAP_2db6b867": {
   "en": "Roadmap Stitching for Contact-Rich Planning",
   "zh": "接触丰富规划路图拼接",
   "level": "l3"
  },
  "CAP_1c718f03": {
   "en": "Contact-Rich Planning (GCS + CTR)",
   "zh": "接触丰富规划（GCS + CTR）",
   "level": "l2"
  },
  "CAP_d41845ba": {
   "en": "MICP Convex Relaxation GCS Solve",
   "zh": "MICP凸松弛GCS求解与取整",
   "level": "l3"
  },
  "CAP_e9f08f42": {
   "en": "Contact Trust Region Construction",
   "zh": "接触信任域构造与局部MPC拼接",
   "level": "l3"
  },
  "CAP_92bd9a55": {
   "en": "Contact Dynamics Modeling and Smoothing",
   "zh": "接触动力学建模与平滑",
   "level": "l2"
  },
  "CAP_22f8ee00": {
   "en": "Log-Barrier Smoothing",
   "zh": "对数障碍平滑",
   "level": "l3"
  },
  "CAP_03599cd4": {
   "en": "Mode SDP Relaxation and GCS Construction",
   "zh": "模式SDP松弛与凸集图构建",
   "level": "l2"
  },
  "CAP_62f63961": {
   "en": "QCQP Modeling for Fixed Mode",
   "zh": "固定模式QCQP建模",
   "level": "l3"
  },
  "CAP_0a7dd690": {
   "en": "SDP Relaxation",
   "zh": "半定规划松弛",
   "level": "l3"
  },
  "CAP_50cce225": {
   "en": "GCS Graph Construction",
   "zh": "凸集图构建",
   "level": "l3"
  },
  "CAP_e0a0d2ac": {
   "en": "Global Convex Planning",
   "zh": "全局凸规划",
   "level": "l2"
  },
  "CAP_65e3ee9a": {
   "en": "Convex Relaxation Shortest Path",
   "zh": "凸松弛最短路径求解",
   "level": "l3"
  },
  "CAP_2594f24f": {
   "en": "Rounding and Local Refinement",
   "zh": "取整与局部优化",
   "level": "l2"
  },
  "CAP_734db6ae": {
   "en": "Mode Sequence Rounding",
   "zh": "模式序列取整",
   "level": "l3"
  },
  "CAP_03664a20": {
   "en": "Local Nonconvex Refinement",
   "zh": "局部非凸优化细化",
   "level": "l3"
  },
  "CAP_13ead00c": {
   "en": "Contact Dynamics and Convex Relaxation",
   "zh": "接触动力学与凸松弛",
   "level": "l2"
  },
  "CAP_9756e6f7": {
   "en": "Global Contact-Rich Trajectory Planning",
   "zh": "接触丰富全局轨迹规划",
   "level": "l2"
  },
  "CAP_6c2757b4": {
   "en": "Execution and Validation",
   "zh": "执行与验证",
   "level": "l2"
  },
  "CAP_b599b910": {
   "en": "Quasistatic Contact Dynamics (CQDC)",
   "zh": "准动态接触动力学",
   "level": "l3"
  },
  "CAP_5154a65e": {
   "en": "Contact Sensitivity Analysis",
   "zh": "接触灵敏度分析",
   "level": "l3"
  },
  "CAP_d0c47e0c": {
   "en": "Graph of Convex Sets Planning",
   "zh": "凸集图规划",
   "level": "l3"
  },
  "CAP_ed8e5a7f": {
   "en": "Convex Relaxation Rounding (SDP)",
   "zh": "凸松弛圆整 (SDP)",
   "level": "l3"
  },
  "CAP_5831d463": {
   "en": "Iterative MPC Trajectory Optimization",
   "zh": "迭代 MPC 轨迹优化",
   "level": "l3"
  },
  "CAP_10d960ce": {
   "en": "Smoothed RRT Contact Planning",
   "zh": "平滑 RRT 接触规划",
   "level": "l3"
  },
  "CAP_c5b80e94": {
   "en": "Learning Based Contact Rich Motion Policy",
   "zh": "学习型接触密集运动策略",
   "level": "l2"
  },
  "CAP_ca2f0f49": {
   "en": "Tacchi Sim2Real Validation",
   "zh": "接触密集策略仿真到现实迁移",
   "level": "l3"
  },
  "CAP_c7a8a19f": {
   "en": "Data Acquisition",
   "zh": "数据采集",
   "level": "l2"
  },
  "CAP_c65a06d3": {
   "en": "Force-Torque and Pose Acquisition",
   "zh": "力-位数据采集",
   "level": "l3"
  },
  "CAP_d29619f1": {
   "en": "RGB-D and Width Acquisition",
   "zh": "RGB-D 与宽度采集",
   "level": "l3"
  },
  "CAP_b97b3a1c": {
   "en": "Data Preprocessing",
   "zh": "数据预处理",
   "level": "l2"
  },
  "CAP_7f2a3f58": {
   "en": "Multi-Sensor Frequency Alignment",
   "zh": "多传感器频率对齐",
   "level": "l3"
  },
  "CAP_1a143282": {
   "en": "Force Threshold Switching",
   "zh": "力阈值切换",
   "level": "l3"
  },
  "CAP_212da331": {
   "en": "Contact Phase Recognition from FT Features",
   "zh": "基于力/力矩的接触状态识别",
   "level": "l3"
  },
  "CAP_9d40951e": {
   "en": "Spiral Reacquisition Search",
   "zh": "力导引螺旋搜索",
   "level": "l3"
  },
  "CAP_e2d60a13": {
   "en": "Factor Graph State Initialization",
   "zh": "因子图状态初始化",
   "level": "l3"
  },
  "CAP_34fc92bf": {
   "en": "Contact State Feature Construction",
   "zh": "接触状态特征构造",
   "level": "l3"
  },
  "CAP_196ea1f2": {
   "en": "Hybrid System Contact Mode Filter",
   "zh": "混合系统接触模式滤波",
   "level": "l3"
  },
  "CAP_317e8793": {
   "en": "Contact Mode Temporal Smoothing",
   "zh": "接触模式时序一致性滤波与上报",
   "level": "l3"
  },
  "CAP_8444b080": {
   "en": "Contact Point Centroid Localization",
   "zh": "接触点质心定位",
   "level": "l3"
  },
  "CAP_d45d73fb": {
   "en": "Contact Patch Geometry Estimation",
   "zh": "接触斑几何估计",
   "level": "l3"
  },
  "CAP_7dc8f9cf": {
   "en": "Contact Point Frame Transform",
   "zh": "接触点坐标转换与上报",
   "level": "l3"
  },
  "CAP_6f54958f": {
   "en": "Contact Hypothesis Geometric Generation",
   "zh": "接触假设几何生成",
   "level": "l3"
  },
  "CAP_527e1d32": {
   "en": "CNN Contact Hypothesis Filtering",
   "zh": "CNN 接触假设过滤",
   "level": "l3"
  },
  "CAP_6fd07df6": {
   "en": "Contact Physics Constraint Factor Construction",
   "zh": "接触物理约束因子构造",
   "level": "l3"
  },
  "CAP_2f64eea7": {
   "en": "Factor Graph MAP Joint Estimation",
   "zh": "因子图 MAP 联合估计",
   "level": "l3"
  },
  "CAP_c5db7457": {
   "en": "Joint Posterior Output and Reporting",
   "zh": "联合后验输出与上报",
   "level": "l3"
  },
  "CAP_9b8f4090": {
   "en": "Contact Transition Planning",
   "zh": "接触过渡规划",
   "level": "l2"
  },
  "CAP_fadeed17": {
   "en": "Collision Geometry Construction",
   "zh": "碰撞体几何构建",
   "level": "l3"
  },
  "CAP_a4b35063": {
   "en": "Trajectory Parameterization and Initial Guess",
   "zh": "轨迹参数化与初始猜测生成",
   "level": "l3"
  },
  "CAP_22699d6f": {
   "en": "MPCC Solver Iterative Optimization",
   "zh": "MPCC 求解器迭代优化",
   "level": "l3"
  },
  "CAP_0a6340ac": {
   "en": "Contact Mode Extraction and Post-processing",
   "zh": "接触模式提取与后处理",
   "level": "l3"
  },
  "CAP_877e1520": {
   "en": "Trajectory Physical Verification and Execution",
   "zh": "轨迹物理验证与执行",
   "level": "l3"
  },
  "CAP_998b9d6e": {
   "en": "Contact Mode Enumeration",
   "zh": "接触模式枚举与候选生成",
   "level": "l3"
  },
  "CAP_ae2b9896": {
   "en": "Learned Model Training with Offline Data",
   "zh": "学习模型训练与离线数据生成",
   "level": "l3"
  },
  "CAP_f95f508d": {
   "en": "Learning-guided Contact Mode Search",
   "zh": "学习引导的接触模式搜索",
   "level": "l3"
  },
  "CAP_1d756175": {
   "en": "Contact Mode to Trajectory Mapping",
   "zh": "接触模式到轨迹映射",
   "level": "l3"
  },
  "CAP_cd8185c8": {
   "en": "Contact State Perception and Feedback",
   "zh": "接触状态感知与反馈",
   "level": "l3"
  },
  "CAP_68460c85": {
   "en": "Closed-loop Execution and Policy Deployment",
   "zh": "闭环执行与策略部署",
   "level": "l3"
  },
  "CAP_fc2e8a4c": {
   "en": "Contact Transition and Soft Landing",
   "zh": "接触过渡与软着陆",
   "level": "l3"
  },
  "CAP_a554d147": {
   "en": "Contact Transition Trajectory Shaping",
   "zh": "接触过渡轨迹整形",
   "level": "l3"
  },
  "CAP_f41bbccf": {
   "en": "Adaptive Impedance Admittance Tuning",
   "zh": "阻抗/导纳参数自适应调节",
   "level": "l3"
  },
  "CAP_fa32ac46": {
   "en": "Energy-based Safety Reference Management",
   "zh": "能量基安全约束与参考管理",
   "level": "l3"
  },
  "CAP_8d309f9e": {
   "en": "Hybrid Force-Position Control with Disturbance Compensation",
   "zh": "力/位混合控制与扰动补偿",
   "level": "l3"
  },
  "CAP_4c6d8e60": {
   "en": "Contact Transient Stability Assessment",
   "zh": "接触瞬态稳定性评估",
   "level": "l3"
  },
  "CAP_cb413b45": {
   "en": "Container Filling",
   "zh": "容器灌注",
   "level": "l2"
  },
  "CAP_b4b5a294": {
   "en": "Tare Zero Calibration",
   "zh": "去皮归零与空载校准",
   "level": "l3"
  },
  "CAP_97c5d37c": {
   "en": "Dynamic Weight Filtering",
   "zh": "动态称重振动抑制",
   "level": "l3"
  },
  "CAP_01ccc78f": {
   "en": "Net Weight Acquisition",
   "zh": "净质量与质量速率估计",
   "level": "l3"
  },
  "CAP_7e69e9d9": {
   "en": "Two-Speed Fill Dispatch",
   "zh": "两段灌装调度",
   "level": "l3"
  },
  "CAP_538ab3d2": {
   "en": "In-Flight Mass Preact",
   "zh": "抛料质量预停补偿",
   "level": "l3"
  },
  "CAP_62bb515b": {
   "en": "Target Reach Shutdown",
   "zh": "目标质量到达判定与停机",
   "level": "l3"
  },
  "CAP_2ca8f4cb": {
   "en": "Fill Mass Quality Audit",
   "zh": "灌装质量复核与超差剔除",
   "level": "l3"
  },
  "CAP_a6ff63d1": {
   "en": "Stroke Volume Calibration",
   "zh": "行程体积标定",
   "level": "l3"
  },
  "CAP_ec0399d1": {
   "en": "Flow Rate Acquisition",
   "zh": "流量信号采集",
   "level": "l3"
  },
  "CAP_5cf765cd": {
   "en": "Bubble Foam Detection",
   "zh": "气泡与泡沫检测",
   "level": "l3"
  },
  "CAP_1a5af776": {
   "en": "Flow Integration Totalization",
   "zh": "流量积分累计",
   "level": "l3"
  },
  "CAP_98272f0f": {
   "en": "Batch Setpoint Control",
   "zh": "批量设定点控制",
   "level": "l3"
  },
  "CAP_6d2093e4": {
   "en": "In-Flight Volume Compensation",
   "zh": "抛料体积补偿",
   "level": "l3"
  },
  "CAP_f0705e9f": {
   "en": "Batch Completion Shutdown",
   "zh": "批量完成判定与停机",
   "level": "l3"
  },
  "CAP_3649c9ce": {
   "en": "Level Setpoint Definition",
   "zh": "液位设定点定义",
   "level": "l3"
  },
  "CAP_337ec220": {
   "en": "Level Volume Mapping",
   "zh": "液位-体积映射",
   "level": "l3"
  },
  "CAP_45dcc680": {
   "en": "Level Probe Acquisition",
   "zh": "液位信号采集",
   "level": "l3"
  },
  "CAP_d435adc5": {
   "en": "Foam Adherence Handling",
   "zh": "泡沫与挂壁处理",
   "level": "l3"
  },
  "CAP_ab5a96ac": {
   "en": "Fill-to-Level Stop Control",
   "zh": "定液位停机控制",
   "level": "l3"
  },
  "CAP_31278298": {
   "en": "Overflow Return Control",
   "zh": "溢流回流控制",
   "level": "l3"
  },
  "CAP_91b94037": {
   "en": "Fill Level Audit",
   "zh": "液位复核与剔除",
   "level": "l3"
  },
  "CAP_dd70ad70": {
   "en": "Simulation-Based Containability Imagination",
   "zh": "物理仿真式容器装载性想象",
   "level": "l2"
  },
  "CAP_e7606e40": {
   "en": "RGB-D Multi-View Object Scanning",
   "zh": "RGB-D 多视角物体扫描",
   "level": "l3"
  },
  "CAP_8b3844de": {
   "en": "TSDF Surface Fusion",
   "zh": "TSDF 表面融合",
   "level": "l3"
  },
  "CAP_8b267568": {
   "en": "Granular Particle Containment Simulation",
   "zh": "颗粒物装载性仿真",
   "level": "l3"
  },
  "CAP_6fc42023": {
   "en": "Open Container Threshold Classification",
   "zh": "开放式容器阈值分类",
   "level": "l3"
  },
  "CAP_a7e9fa2f": {
   "en": "Pouring Pose Imagination Search",
   "zh": "倾倒位姿想象搜索",
   "level": "l3"
  },
  "CAP_06134a48": {
   "en": "UR5 Autonomous Pouring Execution",
   "zh": "UR5 自主倾倒执行",
   "level": "l3"
  },
  "CAP_645246c8": {
   "en": "VLM-Based Physical Commonsense Containment Reasoning",
   "zh": "VLM 物理常识式包含关系推理",
   "level": "l2"
  },
  "CAP_ca344e79": {
   "en": "VLM Visual Encoding",
   "zh": "VLM 视觉编码",
   "level": "l3"
  },
  "CAP_9623ced8": {
   "en": "Containment Commonsense Prompt Construction",
   "zh": "容纳性常识 prompt 构建",
   "level": "l3"
  },
  "CAP_d68203ea": {
   "en": "VLM Containment Commonsense CoT Reasoning",
   "zh": "VLM 容纳性常识 CoT 推理",
   "level": "l3"
  },
  "CAP_eefba6d5": {
   "en": "CoT Judgment Extraction",
   "zh": "CoT 判定提取",
   "level": "l3"
  },
  "CAP_bb3a33dd": {
   "en": "Scene-Graph & Ontology-Based Symbolic Containment Reasoning",
   "zh": "场景图与本体符号式包含关系推理",
   "level": "l2"
  },
  "CAP_f5d02e09": {
   "en": "Visual-Inertial SLAM with Semantic Mesh",
   "zh": "视觉惯性 SLAM 与语义网格生成",
   "level": "l3"
  },
  "CAP_c15a6e17": {
   "en": "3D Dynamic Scene Graph Construction",
   "zh": "3D 动态场景图构建",
   "level": "l3"
  },
  "CAP_16373bc8": {
   "en": "SPARQL Containment Relation Query",
   "zh": "SPARQL 包含关系查询",
   "level": "l3"
  },
  "CAP_78fcde85": {
   "en": "SWRL Containment Affordance Reasoning",
   "zh": "SWRL 容纳性 affordance 推理",
   "level": "l3"
  },
  "CAP_35ce498d": {
   "en": "Linear Contextual Bandit Policy Selection",
   "zh": "线性上下文老虎机策略选择",
   "level": "l2"
  },
  "CAP_426c9250": {
   "en": "Neural Contextual Bandit Policy Selection",
   "zh": "神经上下文老虎机策略选择",
   "level": "l2"
  },
  "CAP_c1b9b11c": {
   "en": "Non-parametric Contextual Bandit Policy Selection",
   "zh": "非参数上下文老虎机策略选择",
   "level": "l2"
  },
  "CAP_774a7327": {
   "en": "Off-policy Contextual Bandit Policy Selection",
   "zh": "离策略上下文老虎机策略选择",
   "level": "l2"
  },
  "CAP_8877c522": {
   "en": "Context Feature Vector Extraction",
   "zh": "上下文特征向量提取",
   "level": "l3"
  },
  "CAP_05f83031": {
   "en": "Linear Reward Model Initialization",
   "zh": "线性奖励模型初始化",
   "level": "l3"
  },
  "CAP_42501fc0": {
   "en": "LinUCB Confidence Bound Computation",
   "zh": "LinUCB 置信界计算",
   "level": "l3"
  },
  "CAP_6dfa000f": {
   "en": "LinTS Posterior Sampling",
   "zh": "LinTS 后验采样",
   "level": "l3"
  },
  "CAP_5bab4bd9": {
   "en": "Context-Conditioned Policy Arm Selection",
   "zh": "上下文条件策略臂选择",
   "level": "l3"
  },
  "CAP_321da1f7": {
   "en": "Ridge Regression Incremental Update",
   "zh": "岭回归增量更新",
   "level": "l3"
  },
  "CAP_b5c03098": {
   "en": "Neural Reward Network Initialization",
   "zh": "神经奖励网络初始化",
   "level": "l3"
  },
  "CAP_0655c130": {
   "en": "Neural Feature Extraction",
   "zh": "神经特征提取",
   "level": "l3"
  },
  "CAP_f3a0f328": {
   "en": "NeuralUCB Exploration Bonus Computation",
   "zh": "NeuralUCB 探索奖励计算",
   "level": "l3"
  },
  "CAP_c2ac653f": {
   "en": "Neural Network Gradient Update",
   "zh": "神经网络梯度更新",
   "level": "l3"
  },
  "CAP_cd9de3f8": {
   "en": "NeuralUCB Covariance Incremental Update",
   "zh": "NeuralUCB 协方差增量更新",
   "level": "l3"
  },
  "CAP_c84e58e5": {
   "en": "Neural Thompson Posterior Sampling",
   "zh": "Neural Thompson 后验采样",
   "level": "l3"
  },
  "CAP_d41557b5": {
   "en": "Context Space Partitioning",
   "zh": "上下文空间分区",
   "level": "l3"
  },
  "CAP_a65c97e9": {
   "en": "Leaf Cell Statistics Initialization",
   "zh": "叶节点统计量初始化",
   "level": "l3"
  },
  "CAP_34418539": {
   "en": "Context to Cell Routing",
   "zh": "上下文到叶节点路由",
   "level": "l3"
  },
  "CAP_8c6b4e8d": {
   "en": "Per-Cell UCB1 Arm Selection",
   "zh": "叶内 UCB1 臂选择",
   "level": "l3"
  },
  "CAP_5166ec48": {
   "en": "Per-Cell Statistics Update",
   "zh": "叶内统计量更新",
   "level": "l3"
  },
  "CAP_a20f8323": {
   "en": "Partition Refit",
   "zh": "分区器重训",
   "level": "l3"
  },
  "CAP_36a91814": {
   "en": "Logged Data Loading",
   "zh": "历史日志加载",
   "level": "l3"
  },
  "CAP_98b63bb3": {
   "en": "Propensity Model Fitting",
   "zh": "倾向性模型拟合",
   "level": "l3"
  },
  "CAP_b761f4e6": {
   "en": "DR Variance Control",
   "zh": "DR 方差控制",
   "level": "l3"
  },
  "CAP_4610760c": {
   "en": "DR Confidence Interval Estimation",
   "zh": "DR 置信区间估计",
   "level": "l3"
  },
  "CAP_88326804": {
   "en": "Cognitive Architecture Cue-driven Memory Retrieval",
   "zh": "认知架构情境线索记忆检索",
   "level": "l2"
  },
  "CAP_e4dcd067": {
   "en": "Context Cue Extraction and Symbolization",
   "zh": "情境线索提取与符号化",
   "level": "l3"
  },
  "CAP_05adc0be": {
   "en": "Working Memory Snapshot Episodic Storage",
   "zh": "工作内存快照情景存储",
   "level": "l3"
  },
  "CAP_972f426a": {
   "en": "Partial Cue Episode Matching",
   "zh": "部分线索情景匹配",
   "level": "l3"
  },
  "CAP_db0958cc": {
   "en": "Chunk Activation Computation",
   "zh": "块激活计算",
   "level": "l3"
  },
  "CAP_b782e430": {
   "en": "Retrieved Memory Context Injection",
   "zh": "检索记忆上下文注入",
   "level": "l3"
  },
  "CAP_9a423f90": {
   "en": "Production Rule Trigger and Chunking Learning",
   "zh": "产生式规则触发与块化学习",
   "level": "l3"
  },
  "CAP_a1dcca86": {
   "en": "Situational Cue Encoding",
   "zh": "情境线索编码",
   "level": "l3"
  },
  "CAP_a37a123b": {
   "en": "Episodic Memory Retrieval",
   "zh": "情景记忆检索",
   "level": "l3"
  },
  "CAP_7b80921b": {
   "en": "Partial Cue Matching",
   "zh": "部分线索匹配",
   "level": "l3"
  },
  "CAP_0b8cc625": {
   "en": "Memory Application and Learning",
   "zh": "记忆应用与学习",
   "level": "l2"
  },
  "CAP_28ed67d6": {
   "en": "Chunking",
   "zh": "组块学习",
   "level": "l3"
  },
  "CAP_e6ec6f6a": {
   "en": "Vector-based Contextual History Retrieval",
   "zh": "向量化情境历史检索",
   "level": "l2"
  },
  "CAP_dc075e2a": {
   "en": "Cue-Tag-Content Graph Construction",
   "zh": "线索-标签-内容图构建",
   "level": "l3"
  },
  "CAP_eca2c745": {
   "en": "Multi-Path Associative Exploration and Pruning",
   "zh": "多路径关联探索与修剪",
   "level": "l3"
  },
  "CAP_8fec2177": {
   "en": "Memory Critique and Fitness Evaluation",
   "zh": "记忆批判与适配性评估",
   "level": "l3"
  },
  "CAP_135ec975": {
   "en": "Contextual Memory Reconstruction",
   "zh": "情境感知记忆重建",
   "level": "l3"
  },
  "CAP_a0b777b2": {
   "en": "Graph Incremental Update and Strategy Learning",
   "zh": "图增量更新与策略学习",
   "level": "l3"
  },
  "CAP_49ecd4b7": {
   "en": "Cue Encoding Graph Node",
   "zh": "Cue 图节点编码",
   "level": "l3"
  },
  "CAP_5180a023": {
   "en": "Associative Memory Graph Construction",
   "zh": "关联记忆图构建",
   "level": "l3"
  },
  "CAP_e3a9e4b9": {
   "en": "Active Memory Reconstruction",
   "zh": "主动记忆重建",
   "level": "l2"
  },
  "CAP_dc0a1943": {
   "en": "Memory Reconstruction and Graph Maintenance",
   "zh": "记忆重建与图维护",
   "level": "l2"
  },
  "CAP_5be6009f": {
   "en": "Graph Memory Incremental Update",
   "zh": "图记忆增量更新",
   "level": "l3"
  },
  "CAP_1f431d02": {
   "en": "Reconstruction Strategy Learning",
   "zh": "重建策略学习",
   "level": "l3"
  },
  "CAP_7b61975d": {
   "en": "Contextual Dialogue Management",
   "zh": "上下文对话管理",
   "level": "l1"
  },
  "CAP_223233b2": {
   "en": "Structured Dialogue State Tracking",
   "zh": "结构化对话状态追踪",
   "level": "l2"
  },
  "CAP_74aee688": {
   "en": "Schema-based Belief State Initialization",
   "zh": "Schema 驱动信念状态初始化",
   "level": "l3"
  },
  "CAP_e38178a1": {
   "en": "Utterance Encoding and Slot Gate Classification",
   "zh": "话语编码与槽位门控分类",
   "level": "l3"
  },
  "CAP_7dd97e44": {
   "en": "Copy-based Slot Value Generation",
   "zh": "拷贝机制槽值生成",
   "level": "l3"
  },
  "CAP_42e95ecb": {
   "en": "Belief State Merge and Tracker Persistence",
   "zh": "信念状态合并与 Tracker 持久化",
   "level": "l3"
  },
  "CAP_867cf3d2": {
   "en": "Structured Belief State Output",
   "zh": "结构化信念状态输出",
   "level": "l3"
  },
  "CAP_7989babf": {
   "en": "POMDP Belief-State Dialogue Management",
   "zh": "POMDP 贝叶斯信念状态对话管理",
   "level": "l2"
  },
  "CAP_38262322": {
   "en": "POMDP Model and State Space Definition",
   "zh": "POMDP 模型与状态空间定义",
   "level": "l3"
  },
  "CAP_739e545b": {
   "en": "Master-Summary Space Mapping",
   "zh": "主空间-摘要空间映射",
   "level": "l3"
  },
  "CAP_bdeedffe": {
   "en": "POMDP Policy Selection in Summary Space",
   "zh": "摘要空间 POMDP 策略选择",
   "level": "l3"
  },
  "CAP_207e4a6c": {
   "en": "Belief Distribution and Action Output",
   "zh": "信念分布与动作输出",
   "level": "l3"
  },
  "CAP_213e865a": {
   "en": "Memory-Augmented LLM Context Management",
   "zh": "记忆增强 LLM 上下文管理",
   "level": "l2"
  },
  "CAP_8d22bbfe": {
   "en": "Tiered Memory Context Initialization",
   "zh": "分层记忆上下文初始化",
   "level": "l3"
  },
  "CAP_3720873e": {
   "en": "Event Enqueue and LLM Inference",
   "zh": "事件入队与 LLM 推理",
   "level": "l3"
  },
  "CAP_f125d2a4": {
   "en": "Self-Directed Memory Function Calls",
   "zh": "自主记忆函数调用",
   "level": "l3"
  },
  "CAP_990494ae": {
   "en": "Context Overflow Eviction and Recursive Summary",
   "zh": "上下文溢出驱逐与递归摘要",
   "level": "l3"
  },
  "CAP_c1623026": {
   "en": "Response Output and Memory Persistence",
   "zh": "回复输出与记忆持久化",
   "level": "l3"
  },
  "CAP_1d6475be": {
   "en": "Third-Person Scene Graph Intent Inference Pipeline",
   "zh": "第三人称场景图驱动意图推断管线",
   "level": "l2"
  },
  "CAP_7734e615": {
   "en": "Scene Graph Feature Bank Encoding",
   "zh": "场景图特征库编码",
   "level": "l3"
  },
  "CAP_bcfd8f7f": {
   "en": "Next-Operation Intent Decoding (Graph-based)",
   "zh": "基于图的下一步操作意图解码",
   "level": "l3"
  },
  "CAP_f5d547d8": {
   "en": "Intent Posterior Top-K Selection",
   "zh": "意图后验 Top-K 选择",
   "level": "l3"
  },
  "CAP_f9c338cc": {
   "en": "Egocentric Affordance-NAO Intent Inference Pipeline",
   "zh": "第一人称可供性-下一个主动物体意图推断管线",
   "level": "l2"
  },
  "CAP_1b2e6af7": {
   "en": "Egocentric Video Clip Acquisition",
   "zh": "第一人称视频 clip 采集",
   "level": "l3"
  },
  "CAP_18e2d4ec": {
   "en": "Object Affordance Prediction",
   "zh": "物体可供性预测",
   "level": "l3"
  },
  "CAP_b6d40125": {
   "en": "Object State Conditioning",
   "zh": "物体状态条件化",
   "level": "l3"
  },
  "CAP_aa0118a7": {
   "en": "Affordance-Subgoal Joint Decoding",
   "zh": "可供性-子目标联合解码",
   "level": "l3"
  },
  "CAP_b9a4658f": {
   "en": "Egocentric Intent Top-K Selection",
   "zh": "第一人称意图 Top-K 选择",
   "level": "l3"
  },
  "CAP_b0f675cc": {
   "en": "Ontology-KG Task Context Intent Inference Pipeline",
   "zh": "本体-知识图谱驱动任务上下文意图推断管线",
   "level": "l2"
  },
  "CAP_d52b7c71": {
   "en": "Object & Tool Perception",
   "zh": "物体与工具感知",
   "level": "l3"
  },
  "CAP_49e685d9": {
   "en": "OWL/SWRL Tool State Reasoning",
   "zh": "OWL/SWRL 工具状态推理",
   "level": "l3"
  },
  "CAP_334423bb": {
   "en": "Task Context State Localization",
   "zh": "任务上下文状态定位",
   "level": "l3"
  },
  "CAP_6aea247e": {
   "en": "Next-Operator Query from Task Ontology",
   "zh": "任务本体下一步 operator 查询",
   "level": "l3"
  },
  "CAP_fcc4d197": {
   "en": "VLM/LLM Scene-Driven Intent Inference Pipeline",
   "zh": "VLM/LLM 场景语义驱动意图推断管线",
   "level": "l2"
  },
  "CAP_92ba83ae": {
   "en": "Scene Image Acquisition",
   "zh": "场景图像采集",
   "level": "l3"
  },
  "CAP_e26b0238": {
   "en": "LLM Zero-Shot Intent Reasoning",
   "zh": "LLM 零样本意图推理",
   "level": "l3"
  },
  "CAP_b02f55e9": {
   "en": "Combined Score & Top-K Selection",
   "zh": "组合评分 Top-K 选择",
   "level": "l3"
  },
  "CAP_3c6f8e23": {
   "en": "Intent Confidence Estimation",
   "zh": "意图置信度估计",
   "level": "l3"
  },
  "CAP_eb8b9f5b": {
   "en": "LLM Doc Relevance Filter",
   "zh": "LLM文档相关性过滤",
   "level": "l2"
  },
  "CAP_52cfc3d0": {
   "en": "Adaptive Retrieval Trigger Filter",
   "zh": "自适应检索触发过滤",
   "level": "l2"
  },
  "CAP_703d061a": {
   "en": "Relevance Action Triggering",
   "zh": "相关性动作触发",
   "level": "l3"
  },
  "CAP_7684e9c2": {
   "en": "Knowledge Refinement Filtering",
   "zh": "知识精炼过滤",
   "level": "l3"
  },
  "CAP_fc650f1b": {
   "en": "Retrieval Fallback Correction",
   "zh": "检索兜底纠正",
   "level": "l3"
  },
  "CAP_8f6ccd66": {
   "en": "Confidence Complexity Signal Sensing",
   "zh": "置信度复杂度信号感知",
   "level": "l3"
  },
  "CAP_697c8c97": {
   "en": "Retrieval Trigger Decision",
   "zh": "检索触发决策",
   "level": "l3"
  },
  "CAP_0d0cbd1b": {
   "en": "Triggered Retrieval Execution",
   "zh": "触发检索执行",
   "level": "l3"
  },
  "CAP_e3050342": {
   "en": "Iterative Regeneration Filtering",
   "zh": "迭代重生成过滤",
   "level": "l3"
  },
  "CAP_d2ee899a": {
   "en": "Embedding Similarity Pre Filtering",
   "zh": "嵌入相似度预过滤",
   "level": "l3"
  },
  "CAP_8691a7cd": {
   "en": "Filtered Knowledge Assembly",
   "zh": "过滤知识装配",
   "level": "l3"
  },
  "CAP_d0a9abb3": {
   "en": "Spatial Ontology and Knowledge Base Initialization",
   "zh": "空间本体与知识库初始化",
   "level": "l2"
  },
  "CAP_875ce1bc": {
   "en": "Domain Context Ontology Modeling",
   "zh": "领域上下文本体建模",
   "level": "l3"
  },
  "CAP_f7aa4c53": {
   "en": "Context Perception and Assertion",
   "zh": "上下文感知与本体断言",
   "level": "l2"
  },
  "CAP_0af8d3ab": {
   "en": "Scene Perception and Object Detection",
   "zh": "场景感知与物体检测",
   "level": "l3"
  },
  "CAP_7ca31272": {
   "en": "Context Ontology Assertion",
   "zh": "上下文本体断言",
   "level": "l3"
  },
  "CAP_a0189786": {
   "en": "SWRL Context State Reasoning",
   "zh": "SWRL上下文状态推理",
   "level": "l3"
  },
  "CAP_8b496f5f": {
   "en": "Context-Driven Behavior Dispatch",
   "zh": "上下文驱动行为派发",
   "level": "l2"
  },
  "CAP_19378395": {
   "en": "CRAM Plan Dispatch",
   "zh": "CRAM行为计划派发",
   "level": "l3"
  },
  "CAP_bd86b35b": {
   "en": "Hierarchical 3D Scene Graph Context Loading",
   "zh": "层次化3D场景图上下文加载",
   "level": "l3"
  },
  "CAP_0c1fe301": {
   "en": "LLM Behavior Planning and Path Routing",
   "zh": "LLM行为规划与路径路由",
   "level": "l2"
  },
  "CAP_1e919dc0": {
   "en": "Symbolic Appraisal Emotion Selection",
   "zh": "符号评估情感选择",
   "level": "l2"
  },
  "CAP_04cd14c2": {
   "en": "Context Appraisal Variable Computation",
   "zh": "上下文评估变量抽取",
   "level": "l3"
  },
  "CAP_f964471a": {
   "en": "OCC Emotion Category Trigger",
   "zh": "OCC 情感类别触发",
   "level": "l3"
  },
  "CAP_c0ee938e": {
   "en": "PAD Intensity Mapping",
   "zh": "PAD 强度映射",
   "level": "l3"
  },
  "CAP_f972094a": {
   "en": "RL Emotion Policy Learning Loop",
   "zh": "强化学习情感策略循环",
   "level": "l2"
  },
  "CAP_c3095a58": {
   "en": "Affective State Feature Construction",
   "zh": "情感状态特征向量构造",
   "level": "l3"
  },
  "CAP_160130ee": {
   "en": "Emotion Policy Network Inference",
   "zh": "情感策略网络推理",
   "level": "l3"
  },
  "CAP_0eab2182": {
   "en": "Human Feedback Reward Aggregation",
   "zh": "人类反馈奖励聚合",
   "level": "l3"
  },
  "CAP_89d41058": {
   "en": "LLM Emotion Reasoning Chain",
   "zh": "LLM 情感推理链",
   "level": "l2"
  },
  "CAP_6a8b5625": {
   "en": "Multimodal Context Assembly for Emotion",
   "zh": "情感多模态上下文组装",
   "level": "l3"
  },
  "CAP_1a9bf476": {
   "en": "Emotion Selection Prompt Construction",
   "zh": "情感选择 Prompt 构造",
   "level": "l3"
  },
  "CAP_d8eb1dde": {
   "en": "LLM Emotion Inference with Schema Validation",
   "zh": "LLM 情感推理与 Schema 校验",
   "level": "l3"
  },
  "CAP_d7921ff2": {
   "en": "OS-Inspired Context Paging Management",
   "zh": "操作系统级上下文分页管理",
   "level": "l2"
  },
  "CAP_3bfc19c3": {
   "en": "Context Window Utilization Monitor",
   "zh": "上下文窗口利用率监控",
   "level": "l3"
  },
  "CAP_57210f20": {
   "en": "Switch Trigger Evaluation",
   "zh": "切换触发评估",
   "level": "l3"
  },
  "CAP_9d4b2c00": {
   "en": "Self-Directed Paging Decision",
   "zh": "自主分页决策",
   "level": "l3"
  },
  "CAP_080aea89": {
   "en": "Context Compression & Recursive Summarization",
   "zh": "上下文压缩与递归摘要生成",
   "level": "l3"
  },
  "CAP_616508b8": {
   "en": "External Context Store & Semantic Retrieval",
   "zh": "外部上下文存储与语义检索",
   "level": "l3"
  },
  "CAP_0f35548b": {
   "en": "Working Context Swap Executor",
   "zh": "工作上下文交换执行器",
   "level": "l3"
  },
  "CAP_bc3f309e": {
   "en": "Context Load to Working Context",
   "zh": "上下文加载到工作上下文",
   "level": "l3"
  },
  "CAP_5b0320c8": {
   "en": "Task State Restoration",
   "zh": "任务状态恢复",
   "level": "l3"
  },
  "CAP_a24ddb7c": {
   "en": "Working Context Management",
   "zh": "工作上下文管理",
   "level": "l2"
  },
  "CAP_bc52503d": {
   "en": "Context Budget Monitoring",
   "zh": "上下文预算监控",
   "level": "l3"
  },
  "CAP_5b1c2c3b": {
   "en": "Context Switch Execution",
   "zh": "上下文切换执行",
   "level": "l3"
  },
  "CAP_72499c39": {
   "en": "Context Overflow Detection",
   "zh": "上下文溢出检测",
   "level": "l2"
  },
  "CAP_9fb2cb39": {
   "en": "Context Usage Monitoring",
   "zh": "上下文使用率监控",
   "level": "l3"
  },
  "CAP_8cf83f85": {
   "en": "Context Paging",
   "zh": "上下文分页",
   "level": "l2"
  },
  "CAP_460a4d7f": {
   "en": "Content Selection for Paging",
   "zh": "分页内容选择",
   "level": "l3"
  },
  "CAP_c8730c06": {
   "en": "External Context Writing",
   "zh": "外部上下文写入",
   "level": "l3"
  },
  "CAP_52baf25d": {
   "en": "Recursive Summarization",
   "zh": "递归摘要生成",
   "level": "l3"
  },
  "CAP_d0f90f7f": {
   "en": "Context Retrieval",
   "zh": "上下文检索",
   "level": "l2"
  },
  "CAP_d61c7e73": {
   "en": "Retrieval Request Parsing",
   "zh": "检索请求解析",
   "level": "l3"
  },
  "CAP_5c9cc5f8": {
   "en": "External Context Search",
   "zh": "外部上下文搜索",
   "level": "l3"
  },
  "CAP_18c32318": {
   "en": "Context Loading",
   "zh": "上下文加载",
   "level": "l3"
  },
  "CAP_93bdaa89": {
   "en": "Cognitive Task Switching Management",
   "zh": "认知架构任务切换管理",
   "level": "l2"
  },
  "CAP_804d0f7d": {
   "en": "Goal Stack Management",
   "zh": "目标栈管理",
   "level": "l3"
  },
  "CAP_ff1e5def": {
   "en": "Production Rule Switch Trigger",
   "zh": "产生式规则切换触发",
   "level": "l3"
  },
  "CAP_7129ce12": {
   "en": "Working Memory Buffer Switch",
   "zh": "工作记忆缓冲区切换",
   "level": "l3"
  },
  "CAP_836e4e24": {
   "en": "Declarative Memory Retrieval by Activation",
   "zh": "陈述性记忆激活检索",
   "level": "l3"
  },
  "CAP_a6c5c074": {
   "en": "Task Switch Cost Estimation",
   "zh": "任务切换成本量化",
   "level": "l3"
  },
  "CAP_0240d4e8": {
   "en": "Task State Perception and Self-Interruption",
   "zh": "任务状态感知与自中断触发",
   "level": "l2"
  },
  "CAP_3ff14006": {
   "en": "Task Demand-Capability Imbalance Detection",
   "zh": "任务需求-能力不平衡检测",
   "level": "l3"
  },
  "CAP_55911b38": {
   "en": "Subtask Completion Detection",
   "zh": "子任务完成检测",
   "level": "l3"
  },
  "CAP_3543cd80": {
   "en": "Self-Interruption Signal Generation",
   "zh": "自中断信号生成",
   "level": "l3"
  },
  "CAP_5ed3295f": {
   "en": "Switch Decision and Cost Estimation",
   "zh": "切换决策与成本评估",
   "level": "l2"
  },
  "CAP_1a2f583f": {
   "en": "Task Attribute Evaluation",
   "zh": "任务属性评估",
   "level": "l3"
  },
  "CAP_cf280401": {
   "en": "Switch Cost Estimation",
   "zh": "切换成本估计",
   "level": "l3"
  },
  "CAP_3038370b": {
   "en": "Switch Decision Making",
   "zh": "切换决策制定",
   "level": "l3"
  },
  "CAP_71fde167": {
   "en": "Context Save and Task Switch Execution",
   "zh": "上下文保存与任务切换执行",
   "level": "l2"
  },
  "CAP_29c8209b": {
   "en": "Goal Stack Save",
   "zh": "目标栈保存",
   "level": "l3"
  },
  "CAP_5261c485": {
   "en": "Working Memory Buffer Save",
   "zh": "工作记忆缓冲保存",
   "level": "l3"
  },
  "CAP_78978377": {
   "en": "Declarative Memory State Save",
   "zh": "陈述性记忆状态保存",
   "level": "l3"
  },
  "CAP_a1768e54": {
   "en": "Target Context Load and Switch Execution",
   "zh": "目标上下文加载与切换执行",
   "level": "l3"
  },
  "CAP_a65acaa5": {
   "en": "Context Token Usage Monitor",
   "zh": "上下文 Token 用量监控与触发",
   "level": "l3"
  },
  "CAP_e44c3fd0": {
   "en": "Compression Strategy Selection",
   "zh": "压缩策略选择",
   "level": "l3"
  },
  "CAP_aed045be": {
   "en": "Tool Result Offloading",
   "zh": "工具结果卸载",
   "level": "l3"
  },
  "CAP_de4f110f": {
   "en": "Mermaid Task Canvas",
   "zh": "Mermaid 任务画布管理",
   "level": "l3"
  },
  "CAP_9af53385": {
   "en": "External Context Offloading",
   "zh": "外部上下文卸载",
   "level": "l3"
  },
  "CAP_38bc8bf1": {
   "en": "Context Retrieval & Restoration",
   "zh": "上下文检索与恢复",
   "level": "l3"
  },
  "CAP_b7e5de00": {
   "en": "Trigger Signal Generation",
   "zh": "触发信号生成",
   "level": "l3"
  },
  "CAP_72a4b820": {
   "en": "Retrieved Context Integration",
   "zh": "检索上下文整合",
   "level": "l3"
  },
  "CAP_6d0bb906": {
   "en": "Virtual Context Management",
   "zh": "虚拟上下文管理",
   "level": "l2"
  },
  "CAP_3f36c88d": {
   "en": "Long Context Native Utilization",
   "zh": "长上下文原生利用",
   "level": "l2"
  },
  "CAP_bc3b29a1": {
   "en": "Prompt Unit Segmentation",
   "zh": "提示单元分段",
   "level": "l3"
  },
  "CAP_5da8ba49": {
   "en": "Token Self-Information Scoring",
   "zh": "Token自信息评分",
   "level": "l3"
  },
  "CAP_598ef9b5": {
   "en": "Question-Conditioned Perplexity Scoring",
   "zh": "问题条件困惑度评分",
   "level": "l3"
  },
  "CAP_8e7ab075": {
   "en": "Coarse-to-Fine Token Pruning",
   "zh": "粗到细Token剪枝",
   "level": "l3"
  },
  "CAP_dd499bd9": {
   "en": "Compressed Prompt Assembly",
   "zh": "压缩后提示组装",
   "level": "l3"
  },
  "CAP_230c49d9": {
   "en": "Paging Decision Trigger",
   "zh": "分页决策触发",
   "level": "l3"
  },
  "CAP_4d86a5a5": {
   "en": "Page Out to External Storage",
   "zh": "换出到外部存储",
   "level": "l3"
  },
  "CAP_300faea5": {
   "en": "Page In from Recall Storage",
   "zh": "从外部存储换入",
   "level": "l3"
  },
  "CAP_7a5a8abb": {
   "en": "Archival Memory Search",
   "zh": "归档记忆搜索",
   "level": "l3"
  },
  "CAP_de674c8f": {
   "en": "Relevance-Based Sorting",
   "zh": "相关性排序",
   "level": "l3"
  },
  "CAP_d649d79d": {
   "en": "Query-Aware Contextualization",
   "zh": "查询感知上下文放置",
   "level": "l3"
  },
  "CAP_a6b088fc": {
   "en": "Long Context Prompt Assembly",
   "zh": "长上下文提示组装",
   "level": "l3"
  },
  "CAP_22d5c37e": {
   "en": "Window Capacity Monitoring",
   "zh": "窗口容量监控",
   "level": "l3"
  },
  "CAP_7d59e886": {
   "en": "Summary Generation",
   "zh": "摘要生成",
   "level": "l3"
  },
  "CAP_bfcd632b": {
   "en": "Summary Accumulation",
   "zh": "摘要累积合并",
   "level": "l3"
  },
  "CAP_a7c3f14b": {
   "en": "Window Content Replacement",
   "zh": "窗口内容替换",
   "level": "l3"
  },
  "CAP_ffafda0a": {
   "en": "BDI Contingency Plan Library Construction And Execution",
   "zh": "BDI应急预案库构建与执行回退",
   "level": "l2"
  },
  "CAP_6be21dbe": {
   "en": "Team Plan Library Construction",
   "zh": "团队计划库构造",
   "level": "l3"
  },
  "CAP_a5db7df3": {
   "en": "Event Trigger Extraction",
   "zh": "事件触发抽取",
   "level": "l3"
  },
  "CAP_339c389e": {
   "en": "Decomposition Failure Backtracking",
   "zh": "分解失败回溯",
   "level": "l3"
  },
  "CAP_82559fc5": {
   "en": "LLM-Driven Contingency Plan Generation and Retrieval",
   "zh": "LLM 驱动应急预案生成与检索",
   "level": "l2"
  },
  "CAP_42cbdc90": {
   "en": "Exception Instruction Structured Parsing",
   "zh": "异常指令结构化解析",
   "level": "l3"
  },
  "CAP_c6387b25": {
   "en": "Plan Context Retrieval",
   "zh": "计划上下文 RAG 检索",
   "level": "l3"
  },
  "CAP_29ac6078": {
   "en": "LLM Plan Candidate Generation",
   "zh": "LLM 结构化计划候选生成",
   "level": "l3"
  },
  "CAP_da0ad033": {
   "en": "External Verifier Validation",
   "zh": "外部验证器计划校验",
   "level": "l3"
  },
  "CAP_04849bfd": {
   "en": "Verifier-Feedback Iterative Refinement",
   "zh": "验证反馈迭代修正",
   "level": "l3"
  },
  "CAP_da300533": {
   "en": "Plan Semantic Embedding Storage",
   "zh": "计划语义 Embedding 入库",
   "level": "l3"
  },
  "CAP_227cb07a": {
   "en": "LLM Plan Lifecycle",
   "zh": "LLM 计划生命周期",
   "level": "l2"
  },
  "CAP_73c2a66f": {
   "en": "Plan Context RAG Retrieval",
   "zh": "计划上下文 RAG 检索",
   "level": "l3"
  },
  "CAP_8f0d4536": {
   "en": "LLM Structured Plan Candidate Generation",
   "zh": "LLM 结构化计划候选生成",
   "level": "l3"
  },
  "CAP_d466684a": {
   "en": "Similar Plan Matching for Exception Scenarios",
   "zh": "异常场景相似计划匹配",
   "level": "l3"
  },
  "CAP_ebce7753": {
   "en": "Plan Generation and Verification",
   "zh": "计划生成与验证",
   "level": "l2"
  },
  "CAP_50881948": {
   "en": "Plan Verification Backprompt",
   "zh": "计划验证与反提示",
   "level": "l3"
  },
  "CAP_69355e4b": {
   "en": "Plan Library and Retrieval",
   "zh": "计划库与检索",
   "level": "l2"
  },
  "CAP_f3627048": {
   "en": "Plan Retrieval",
   "zh": "计划检索",
   "level": "l3"
  },
  "CAP_15988b4f": {
   "en": "Plan Generation and Retrieval",
   "zh": "计划生成与检索",
   "level": "l2"
  },
  "CAP_ca0e808d": {
   "en": "External Verification and Feedback",
   "zh": "外部验证与反馈",
   "level": "l2"
  },
  "CAP_b340bc09": {
   "en": "Semantic Plan Retrieval",
   "zh": "语义计划检索",
   "level": "l3"
  },
  "CAP_3a487b43": {
   "en": "Verification Feedback Generation",
   "zh": "验证反馈生成",
   "level": "l3"
  },
  "CAP_f96480a3": {
   "en": "Online Adaptation Loop",
   "zh": "在线适应循环",
   "level": "l3"
  },
  "CAP_5ae8c11b": {
   "en": "Random Parameter Restoration",
   "zh": "随机参数恢复",
   "level": "l3"
  },
  "CAP_47e3f35b": {
   "en": "Non-BN Parameter Freezing",
   "zh": "非BN参数冻结",
   "level": "l3"
  },
  "CAP_0c320085": {
   "en": "BN Parameter Single-Step Update",
   "zh": "BN参数单步更新",
   "level": "l3"
  },
  "CAP_cd5df2ca": {
   "en": "Target Domain Stream Reception",
   "zh": "目标域数据流接收",
   "level": "l3"
  },
  "CAP_37cf4ba8": {
   "en": "Forward Inference Prediction Distribution",
   "zh": "前向传播预测分布",
   "level": "l3"
  },
  "CAP_da1d9452": {
   "en": "Progressive Neural Networks",
   "zh": "渐进神经网络架构扩展",
   "level": "l2"
  },
  "CAP_7f44a692": {
   "en": "New Column Instantiation",
   "zh": "新列实例化与侧向连接注册",
   "level": "l3"
  },
  "CAP_798d5968": {
   "en": "Lateral Feature Injection",
   "zh": "旧列特征经侧向投影注入新列",
   "level": "l3"
  },
  "CAP_dbff3586": {
   "en": "New Column Training",
   "zh": "新列在当前任务数据上训练",
   "level": "l3"
  },
  "CAP_1051ab71": {
   "en": "Multi-Column Ensemble Inference",
   "zh": "多列 ensemble 推理",
   "level": "l3"
  },
  "CAP_ee9c3e6a": {
   "en": "PDDLStream Symbolic-Geometric TAMP Pipeline",
   "zh": "PDDLStream 符号-几何 TAMP 流水线",
   "level": "l2"
  },
  "CAP_3d9a43e1": {
   "en": "PDDLStream Stream-based Continuous Action TAMP",
   "zh": "PDDLStream 流式参数化连续动作 TAMP",
   "level": "l3"
  },
  "CAP_0456db73": {
   "en": "Continuous Parameter Sampling",
   "zh": "连续参数采样",
   "level": "l3"
  },
  "CAP_1d241fdf": {
   "en": "TAMP Integration with Diffusion Sampler",
   "zh": "扩散采样器与 TAMP 集成",
   "level": "l3"
  },
  "CAP_0fda0178": {
   "en": "Symbolic-Geometric Constraint Propagation",
   "zh": "符号-几何约束传播",
   "level": "l3"
  },
  "CAP_c1f5ad77": {
   "en": "Diffusion-Model TAMP Sampler for Continuous Actions",
   "zh": "扩散模型TAMP连续动作采样器",
   "level": "l2"
  },
  "CAP_33c101ef": {
   "en": "Conditional Diffusion Sampling",
   "zh": "条件扩散采样",
   "level": "l3"
  },
  "CAP_a064db4e": {
   "en": "Classifier-Guided Constraint Satisfaction",
   "zh": "分类器引导约束满足",
   "level": "l3"
  },
  "CAP_cb4ed8ee19": {
   "en": "Bi-Directional Diffusion Trajectory Sampler",
   "zh": "双向扩散轨迹采样器",
   "level": "l3"
  },
  "CAP_9fde75c7": {
   "en": "LLM/VLM-Guided TAMP Interface",
   "zh": "LLM/VLM 引导的 TAMP 接口",
   "level": "l2"
  },
  "CAP_65fd8694": {
   "en": "LLM/VLM Scene Grounding",
   "zh": "自然语言指令与场景接地",
   "level": "l3"
  },
  "CAP_cfaabcd7": {
   "en": "Motion Feasibility Verification",
   "zh": "运动可行性验证",
   "level": "l3"
  },
  "CAP_78c0347e": {
   "en": "LLM/VLM Motion Failure Reasoning and Replanning",
   "zh": "LLM/VLM 运动失败推理与重规划",
   "level": "l3"
  },
  "CAP_39810542": {
   "en": "LLM/VLM Continuous Parameter Sampling",
   "zh": "LLM/VLM 连续参数采样",
   "level": "l3"
  },
  "CAP_b71ce7e3": {
   "en": "LLM/VLM Motion Failure Reasoning & Replanning",
   "zh": "LLM/VLM 运动失败推理与重规划",
   "level": "l3"
  },
  "CAP_06329dca": {
   "en": "Visual Keypoint Perception",
   "zh": "视觉关键点感知",
   "level": "l2"
  },
  "CAP_af5f273e": {
   "en": "RGB-D Keypoint Proposal",
   "zh": "RGB-D关键点提议",
   "level": "l3"
  },
  "CAP_d06d890a": {
   "en": "Keypoint Tracking",
   "zh": "关键点跟踪",
   "level": "l3"
  },
  "CAP_cd0ca91a": {
   "en": "Constraint Code Generation",
   "zh": "约束代码生成",
   "level": "l2"
  },
  "CAP_a9bb1e3a": {
   "en": "VLM Constraint Function Generation",
   "zh": "VLM约束函数生成",
   "level": "l3"
  },
  "CAP_ca2daa66": {
   "en": "Constraint Optimization and Execution",
   "zh": "约束优化与执行",
   "level": "l2"
  },
  "CAP_c0c1d9bd": {
   "en": "Geometric Stream Validation",
   "zh": "几何流验证",
   "level": "l2"
  },
  "CAP_df211c65": {
   "en": "Vanilla PDDL Task Planning",
   "zh": "Vanilla PDDL任务规划",
   "level": "l3"
  },
  "CAP_121fd557": {
   "en": "Stream Geometric Planning",
   "zh": "流几何规划",
   "level": "l3"
  },
  "CAP_b66d8b31": {
   "en": "Constraint Feedback",
   "zh": "约束反馈",
   "level": "l3"
  },
  "CAP_139c273b": {
   "en": "LLM Task Planning with Failure Reasoning",
   "zh": "LLM任务规划与失败推理",
   "level": "l3"
  },
  "CAP_16e9d85d": {
   "en": "Relational Keypoint Constraint Generation",
   "zh": "关系关键点约束生成",
   "level": "l3"
  },
  "CAP_febda025": {
   "en": "VLM Subgoal Generation and Refinement",
   "zh": "VLM子目标生成与细化",
   "level": "l3"
  },
  "CAP_f973ae39": {
   "en": "Visual Per-Frame VA Regression",
   "zh": "视觉逐帧效价-唤醒度回归",
   "level": "l2"
  },
  "CAP_99fac241": {
   "en": "Face Detection and Alignment for VA",
   "zh": "VA 回归前的人脸检测与对齐",
   "level": "l3"
  },
  "CAP_f59cb9c3": {
   "en": "Per-Frame Valence-Arousal Regression",
   "zh": "逐帧效价-唤醒度回归",
   "level": "l3"
  },
  "CAP_cd5dd2d6": {
   "en": "Facial Expression Classification Co-output",
   "zh": "表情分类副产物",
   "level": "l3"
  },
  "CAP_9ec11abb": {
   "en": "VA Temporal Smoothing",
   "zh": "VA 时序平滑",
   "level": "l3"
  },
  "CAP_de926571": {
   "en": "Continuous Emotion Trajectory Visualization",
   "zh": "连续情感轨迹可视化",
   "level": "l3"
  },
  "CAP_84eff4d3": {
   "en": "Audio-Visual Temporal VA Tracking",
   "zh": "音视频多模态时序 VA 追踪",
   "level": "l2"
  },
  "CAP_b4e4d9ca": {
   "en": "Audio-Video Stream Demux",
   "zh": "音视频流拆分",
   "level": "l3"
  },
  "CAP_51dcaa41": {
   "en": "Facial Behavior Feature Extraction",
   "zh": "面部行为特征提取",
   "level": "l3"
  },
  "CAP_3c340cf3": {
   "en": "Multimodal Feature Alignment",
   "zh": "多模态特征对齐与归一化",
   "level": "l3"
  },
  "CAP_eb245d5a": {
   "en": "Temporal VA Regression",
   "zh": "时序 VA 回归",
   "level": "l3"
  },
  "CAP_e37108a5": {
   "en": "Continuous Emotion CCC Evaluation",
   "zh": "连续情感 CCC 评测",
   "level": "l3"
  },
  "CAP_46056527": {
   "en": "Wearable Physiological Affect Tracking",
   "zh": "可穿戴生理信号连续情感/压力追踪",
   "level": "l2"
  },
  "CAP_3fc03eef": {
   "en": "Physiological Signal Acquisition",
   "zh": "多通道生理信号采集",
   "level": "l3"
  },
  "CAP_b608b720": {
   "en": "Physiological Signal Preprocessing",
   "zh": "生理信号预处理与重采样",
   "level": "l3"
  },
  "CAP_130eb161": {
   "en": "EDA Phasic-Tonic Decomposition",
   "zh": "EDA 皮肤电导 phasic-tonic 分解",
   "level": "l3"
  },
  "CAP_00bcad7d": {
   "en": "HRV Computation",
   "zh": "ECG R 峰检测与心率变异性计算",
   "level": "l3"
  },
  "CAP_f7775016": {
   "en": "Multi-Channel Physiological Feature Extraction",
   "zh": "多通道生理特征提取",
   "level": "l3"
  },
  "CAP_37140eb0": {
   "en": "Stress-Arousal Classification",
   "zh": "压力-唤醒度分类与回归",
   "level": "l3"
  },
  "CAP_1aacf65e": {
   "en": "Continuous State Trajectory Output",
   "zh": "连续状态轨迹输出",
   "level": "l3"
  },
  "CAP_f6467bed": {
   "en": "Execution and Feedback Collection",
   "zh": "任务执行与反馈收集",
   "level": "l2"
  },
  "CAP_c20403b1": {
   "en": "Verbal Reflection and Memory Accumulation",
   "zh": "语言反思与记忆累积",
   "level": "l2"
  },
  "CAP_1b9bd4c1": {
   "en": "Policy Evaluation and Redeployment",
   "zh": "策略评估与重部署",
   "level": "l2"
  },
  "CAP_56fd9385": {
   "en": "Skill Code Generation and Library Evolution",
   "zh": "技能代码生成与库进化",
   "level": "l2"
  },
  "CAP_79cd9473": {
   "en": "Skill Composition and Lifelong Exploration",
   "zh": "技能组合与终身探索",
   "level": "l2"
  },
  "CAP_d2babf12": {
   "en": "Reflexion Iteration Convergence",
   "zh": "反思迭代收敛判定",
   "level": "l3"
  },
  "CAP_799a7f56": {
   "en": "Aggregated Dataset Update",
   "zh": "聚合数据集更新",
   "level": "l3"
  },
  "CAP_10a77cc7": {
   "en": "RL Retraining Convergence Check",
   "zh": "RL重训收敛判定",
   "level": "l3"
  },
  "CAP_b6a63435": {
   "en": "Automatic Curriculum Task Proposal",
   "zh": "自动课程任务提议",
   "level": "l3"
  },
  "CAP_b76972bc": {
   "en": "Skill Composition and Zero-Shot Execution",
   "zh": "技能组合与零样本执行",
   "level": "l3"
  },
  "CAP_9f5b42a2": {
   "en": "Lifelong Skill Exploration Continuation",
   "zh": "终身技能探索循环",
   "level": "l3"
  },
  "CAP_61f79bf5": {
   "en": "PCC Kinematics Modeling",
   "zh": "分段常数曲率运动学建模",
   "level": "l2"
  },
  "CAP_949f98a2": {
   "en": "Section Geometry Parameterization",
   "zh": "截面几何参数化",
   "level": "l3"
  },
  "CAP_bc47a456": {
   "en": "Arc-to-DH Parameter Conversion",
   "zh": "弧参数到 D-H 参数转换",
   "level": "l3"
  },
  "CAP_07f57ab1": {
   "en": "PCC Forward Kinematics Composition",
   "zh": "PCC 正运动学组合",
   "level": "l3"
  },
  "CAP_93e7d488": {
   "en": "PCC Analytical Jacobian",
   "zh": "PCC 解析雅可比",
   "level": "l3"
  },
  "CAP_e87dc918": {
   "en": "PCC Inverse Kinematics Solver",
   "zh": "PCC 逆运动学求解器",
   "level": "l3"
  },
  "CAP_193a2008": {
   "en": "Convergence & Singularity Handling",
   "zh": "收敛与奇异性处理",
   "level": "l3"
  },
  "CAP_b85ebef4": {
   "en": "Configuration-to-Actuator Mapping",
   "zh": "位形到驱动器映射",
   "level": "l3"
  },
  "CAP_64f00777": {
   "en": "Workspace Validation",
   "zh": "工作空间验证",
   "level": "l3"
  },
  "CAP_456e32be": {
   "en": "PCC Forward Kinematics and Jacobian",
   "zh": "PCC正运动学与雅可比",
   "level": "l2"
  },
  "CAP_db7f5dd0": {
   "en": "PCC Inverse Kinematics Solving",
   "zh": "PCC逆运动学数值求解",
   "level": "l2"
  },
  "CAP_b00c5c24": {
   "en": "IK Convergence and Singularity Handling",
   "zh": "逆运动学收敛与奇异性处理",
   "level": "l3"
  },
  "CAP_d2b19d7f": {
   "en": "Actuator Mapping and Workspace Validation",
   "zh": "驱动器映射与工作空间验证",
   "level": "l2"
  },
  "CAP_0b2e34d7": {
   "en": "Workspace Analysis",
   "zh": "工作空间分析与可视化",
   "level": "l3"
  },
  "CAP_ae6a0f22": {
   "en": "PCC Arc Parameter to Pose Mapping",
   "zh": "PCC弧参数到位姿映射",
   "level": "l2"
  },
  "CAP_7394b117": {
   "en": "Arc Parameter Definition",
   "zh": "弧参数定义",
   "level": "l3"
  },
  "CAP_cc68fbd6": {
   "en": "PCC Forward Kinematics (Single Segment)",
   "zh": "PCC单段正运动学",
   "level": "l3"
  },
  "CAP_c7200f36": {
   "en": "Arc-to-DH Conversion",
   "zh": "弧参数到DH参数转换",
   "level": "l3"
  },
  "CAP_df62026b": {
   "en": "Multi-Segment PCC Kinematics",
   "zh": "多段PCC运动学",
   "level": "l2"
  },
  "CAP_7064fff9": {
   "en": "Multi-Segment Forward Kinematics",
   "zh": "多段正运动学",
   "level": "l3"
  },
  "CAP_5f050bf3": {
   "en": "PCC Jacobian Computation",
   "zh": "PCC雅可比计算",
   "level": "l3"
  },
  "CAP_27878c3d": {
   "en": "DLS Inverse Kinematics",
   "zh": "阻尼最小二乘逆运动学",
   "level": "l2"
  },
  "CAP_da9a7162": {
   "en": "DLS Iteration",
   "zh": "DLS迭代步",
   "level": "l3"
  },
  "CAP_6c25705c": {
   "en": "Cosserat Rod Modeling and Forward Simulation",
   "zh": "Cosserat Rod 建模与前向仿真",
   "level": "l2"
  },
  "CAP_6569cfd5": {
   "en": "Rod Geometry and Material Parameterization",
   "zh": "Rod 几何与材料参数化",
   "level": "l3"
  },
  "CAP_9c87813f": {
   "en": "Spatial Discretization for Cosserat Rod",
   "zh": "Cosserat Rod 空间离散化",
   "level": "l3"
  },
  "CAP_93d993e0": {
   "en": "Forward Shape Integration (Static/Dynamic)",
   "zh": "前向形状积分（静态/动态）",
   "level": "l3"
  },
  "CAP_b2b575c7": {
   "en": "Static BVP Solver",
   "zh": "静态 BVP 求解器",
   "level": "l3"
  },
  "CAP_d0fbb96b": {
   "en": "Dynamic Time Integration",
   "zh": "动态时间积分",
   "level": "l3"
  },
  "CAP_3b9dec42": {
   "en": "Environment Interaction and Boundary Conditions",
   "zh": "环境交互与边界条件",
   "level": "l2"
  },
  "CAP_7f37b5e2": {
   "en": "Boundary Condition Specification",
   "zh": "边界条件指定",
   "level": "l3"
  },
  "CAP_10ddbcf6": {
   "en": "External Force and Torque Application",
   "zh": "外力与力矩施加",
   "level": "l3"
  },
  "CAP_fc4d16e4": {
   "en": "Inverse Problem Solving",
   "zh": "逆问题求解",
   "level": "l2"
  },
  "CAP_efc0fdc7": {
   "en": "Inverse Kinematics via Optimization",
   "zh": "基于优化的逆运动学",
   "level": "l3"
  },
  "CAP_3222aa8b": {
   "en": "Local IK Solver",
   "zh": "局部逆运动学求解器",
   "level": "l3"
  },
  "CAP_180b7cef": {
   "en": "Global IK Solver",
   "zh": "全局逆运动学求解器",
   "level": "l3"
  },
  "CAP_c0bda862": {
   "en": "Actuator-to-Force Mapping (Tendon Routing)",
   "zh": "驱动器到力映射（Tendon 路由）",
   "level": "l3"
  },
  "CAP_73605365": {
   "en": "Dynamics Simulation and Control Interface",
   "zh": "动力学仿真与控制接口",
   "level": "l2"
  },
  "CAP_966b7831": {
   "en": "Time Integration",
   "zh": "时间积分",
   "level": "l3"
  },
  "CAP_bb21d11d": {
   "en": "Implicit Euler Integration",
   "zh": "隐式 Euler 积分",
   "level": "l3"
  },
  "CAP_3b7c9e82": {
   "en": "Explicit Verlet Integration",
   "zh": "显式 Verlet 积分",
   "level": "l3"
  },
  "CAP_50726883": {
   "en": "Multi-Rod Assembly and Coupling",
   "zh": "多杆装配与耦合",
   "level": "l2"
  },
  "CAP_3bcc9b0e": {
   "en": "Joint Connection and Rod Collision",
   "zh": "关节连接与杆碰撞",
   "level": "l3"
  },
  "CAP_34647c21": {
   "en": "Spherical Joint Coupling",
   "zh": "球铰耦合",
   "level": "l3"
  },
  "CAP_f1d59eea": {
   "en": "Hinge/Fixed Joint Coupling",
   "zh": "铰链/固定关节耦合",
   "level": "l3"
  },
  "CAP_802604b2": {
   "en": "Cosserat Rod Modeling",
   "zh": "Cosserat 杆运动学建模",
   "level": "l2"
  },
  "CAP_92e53018": {
   "en": "Cosserat Rod Spatial Discretization",
   "zh": "Cosserat 杆空间离散化",
   "level": "l3"
  },
  "CAP_25fb9654": {
   "en": "Cosserat Rod Forward Shape Solver",
   "zh": "Cosserat 杆前向形状求解",
   "level": "l3"
  },
  "CAP_dbed984e": {
   "en": "Cosserat Rod Inverse Kinematics",
   "zh": "Cosserat 杆逆运动学",
   "level": "l3"
  },
  "CAP_4f7fce5d": {
   "en": "Tendon-to-Force Mapping",
   "zh": "绳索到分布力映射",
   "level": "l3"
  },
  "CAP_bae13b8d": {
   "en": "Time Integration for Cosserat Rod",
   "zh": "Cosserat 杆时间积分",
   "level": "l3"
  },
  "CAP_7e70a9da": {
   "en": "Multi-Rod Assembly",
   "zh": "多杆装配",
   "level": "l3"
  },
  "CAP_385a0aef": {
   "en": "Cosserat Rod Modeling and Forward Kinematics",
   "zh": "Cosserat杆建模与正运动学",
   "level": "l2"
  },
  "CAP_4f2b4758": {
   "en": "Cosserat Rod Parameterization",
   "zh": "Cosserat杆参数化",
   "level": "l3"
  },
  "CAP_1f534a1a": {
   "en": "Spatial Discretization and Time Integration",
   "zh": "空间离散化与时间积分",
   "level": "l3"
  },
  "CAP_f9a63d0b": {
   "en": "Boundary Conditions and External Forces",
   "zh": "边界条件与外力施加",
   "level": "l3"
  },
  "CAP_a0ba84ff": {
   "en": "Forward Kinematics Output",
   "zh": "正运动学输出",
   "level": "l3"
  },
  "CAP_4738f74d": {
   "en": "BVP Shooting Method",
   "zh": "BVP打靶法",
   "level": "l3"
  },
  "CAP_ef4ca45c": {
   "en": "CTR Tube Parameterization and BVP Formulation",
   "zh": "CTR管参数化与BVP建立",
   "level": "l2"
  },
  "CAP_a3c62c84": {
   "en": "Tube Parameterization and Precurvature Modeling",
   "zh": "管参数化与预弯建模",
   "level": "l3"
  },
  "CAP_65d256f0": {
   "en": "Concentric Compatibility Constraint Assembly",
   "zh": "共中心线相容约束装配",
   "level": "l3"
  },
  "CAP_afbda77f": {
   "en": "Torsion-Coupled BVP Formulation",
   "zh": "扭转耦合BVP建立",
   "level": "l3"
  },
  "CAP_e0e060a8": {
   "en": "Shooting Method Solver",
   "zh": "打靶法求解器",
   "level": "l3"
  },
  "CAP_6339a65c": {
   "en": "Inverse Kinematics via Newton/Gauss-Newton",
   "zh": "Newton/Gauss-Newton逆运动学",
   "level": "l3"
  },
  "CAP_6c2576dc": {
   "en": "Compliance and Jacobian Computation",
   "zh": "柔顺性与雅可比计算",
   "level": "l3"
  },
  "CAP_ac1507f9": {
   "en": "Actuator Mapping (Translation/Rotation Input)",
   "zh": "作动输入映射（平移/旋转）",
   "level": "l3"
  },
  "CAP_5352c4bd": {
   "en": "Tip Pose Output and Evaluation",
   "zh": "尖端位姿输出与评估",
   "level": "l3"
  },
  "CAP_7a8cdd2a": {
   "en": "CTR Coupled Torsion Kinematics",
   "zh": "CTR耦合扭转运动学建模",
   "level": "l2"
  },
  "CAP_a082cb61": {
   "en": "CTR Tube Parameterization and Precurvature Modeling",
   "zh": "CTR管参数化与预弯建模",
   "level": "l3"
  },
  "CAP_2fe61e92": {
   "en": "CTR Concentric Compatibility Constraint",
   "zh": "CTR共中心线相容性约束",
   "level": "l3"
  },
  "CAP_3b0117fb": {
   "en": "CTR Torsion-Coupled BVP Formulation",
   "zh": "CTR扭转耦合BVP建立",
   "level": "l3"
  },
  "CAP_1c959808": {
   "en": "CTR Shooting Method Solver",
   "zh": "CTR打靶法求解器",
   "level": "l3"
  },
  "CAP_95c887c4": {
   "en": "CTR Inverse Kinematics via Gauss-Newton",
   "zh": "CTR逆运动学（Gauss-Newton）",
   "level": "l3"
  },
  "CAP_e5e40f85": {
   "en": "CTR Compliance and Jacobian Computation",
   "zh": "CTR柔顺性与Jacobian计算",
   "level": "l3"
  },
  "CAP_a44af32c": {
   "en": "CTR Actuator Mapping and Calibration",
   "zh": "CTR作动映射与标定",
   "level": "l3"
  },
  "CAP_2db10fa1": {
   "en": "CTR Kinematic Modeling",
   "zh": "CTR 运动学建模",
   "level": "l2"
  },
  "CAP_a45b4013": {
   "en": "Multi-Tube State Variable Definition",
   "zh": "多管状态变量定义",
   "level": "l3"
  },
  "CAP_d6722a18": {
   "en": "Constitutive Law and Equilibrium",
   "zh": "本构关系与平衡方程",
   "level": "l3"
  },
  "CAP_9954cc0d": {
   "en": "Multi-Tube Curvature Constraint",
   "zh": "多管曲率约束",
   "level": "l3"
  },
  "CAP_4288ed3b": {
   "en": "Torsion Evolution Equation",
   "zh": "扭转演化方程",
   "level": "l3"
  },
  "CAP_f16da605": {
   "en": "Model Solving and Calibration",
   "zh": "模型求解与标定",
   "level": "l2"
  },
  "CAP_9c29c195": {
   "en": "Shooting Method for BVP",
   "zh": "打靶法求解 BVP",
   "level": "l3"
  },
  "CAP_e015523f": {
   "en": "Nelder-Mead Parameter Calibration",
   "zh": "Nelder-Mead 参数标定",
   "level": "l3"
  },
  "CAP_e947e8b4": {
   "en": "Control and Actuation",
   "zh": "控制与执行",
   "level": "l2"
  },
  "CAP_141e338d": {
   "en": "Jacobian and Compliance Matrix Computation",
   "zh": "Jacobian 与 Compliance 矩阵计算",
   "level": "l3"
  },
  "CAP_4d1e17fb": {
   "en": "GDLS Closed-Loop Control",
   "zh": "GDLS 闭环节控制",
   "level": "l3"
  },
  "CAP_182f8fc5": {
   "en": "Actuator Mapping",
   "zh": "驱动器映射",
   "level": "l3"
  },
  "CAP_a5d8610f": {
   "en": "Validation and Evaluation",
   "zh": "验证与评估",
   "level": "l2"
  },
  "CAP_0a8f6591": {
   "en": "Tip Error Evaluation",
   "zh": "尖端误差评估",
   "level": "l3"
  },
  "CAP_d63a5cbb": {
   "en": "Arc Length Dependency Analysis",
   "zh": "弧长依赖分析",
   "level": "l3"
  },
  "CAP_c4c38a26": {
   "en": "Clinical Tolerance Assessment",
   "zh": "临床容差评估",
   "level": "l3"
  },
  "CAP_36859eaa": {
   "en": "FEM Volumetric Soft Body Simulation",
   "zh": "FEM 体单元大变形软体仿真",
   "level": "l2"
  },
  "CAP_c6693e94": {
   "en": "Tetrahedral Mesh Discretization",
   "zh": "四面体网格离散化",
   "level": "l3"
  },
  "CAP_7e1a5b7c": {
   "en": "FEM Constitutive Parameterization",
   "zh": "FEM 本构模型参数化",
   "level": "l3"
  },
  "CAP_f6976483": {
   "en": "Corotational Stiffness Assembly",
   "zh": "Corotational 刚度矩阵组装",
   "level": "l3"
  },
  "CAP_964bb4b1": {
   "en": "FEM Mass and Load Assembly",
   "zh": "FEM 质量与载荷组装",
   "level": "l3"
  },
  "CAP_ece98c70": {
   "en": "FEM Contact Handling",
   "zh": "FEM 接触处理",
   "level": "l3"
  },
  "CAP_059be107": {
   "en": "Deformation Visualization",
   "zh": "变形可视化与数据导出",
   "level": "l3"
  },
  "CAP_f5c73d54": {
   "en": "Rod Geometry and Topology Definition",
   "zh": "杆几何与拓扑定义",
   "level": "l3"
  },
  "CAP_8cbf1b41": {
   "en": "Cosserat Rod Mechanics Parameterization",
   "zh": "Cosserat 杆力学参数化",
   "level": "l3"
  },
  "CAP_ffc6b70c": {
   "en": "Cosserat Rod Boundary and Forcing",
   "zh": "Cosserat 杆边界条件与外力",
   "level": "l3"
  },
  "CAP_adaa5448": {
   "en": "Symplectic Rod Time Integration",
   "zh": "Symplectic 杆时间积分",
   "level": "l3"
  },
  "CAP_cf59feed": {
   "en": "Rod Contact Handling",
   "zh": "杆接触处理",
   "level": "l3"
  },
  "CAP_afac3dbe": {
   "en": "Rod Deformation Visualization",
   "zh": "杆变形可视化与数据导出",
   "level": "l3"
  },
  "CAP_b176933d": {
   "en": "MPM Differentiable Soft Body Simulation",
   "zh": "MPM 可微软体大变形仿真",
   "level": "l2"
  },
  "CAP_a00d88a9": {
   "en": "MPM Particle Initialization",
   "zh": "MPM 粒子初始化",
   "level": "l3"
  },
  "CAP_e2f6f8ce": {
   "en": "P2G Grid Transfer",
   "zh": "P2G 粒子到网格传输",
   "level": "l3"
  },
  "CAP_a4c75bdf": {
   "en": "Grid Momentum Solve",
   "zh": "网格动量方程求解",
   "level": "l3"
  },
  "CAP_a7cc6ebf": {
   "en": "G2P Particle Update",
   "zh": "G2P 网格到粒子传输",
   "level": "l3"
  },
  "CAP_b3268651": {
   "en": "MPM Soft Contact Handling",
   "zh": "MPM 软化接触处理",
   "level": "l3"
  },
  "CAP_88ec9f8e": {
   "en": "Taichi Differentiable Backpropagation",
   "zh": "Taichi 可微反向传播",
   "level": "l3"
  },
  "CAP_26b672cf": {
   "en": "Cross-Modal Sensor Contrastive Representation",
   "zh": "跨模态传感器对比表征学习",
   "level": "l2"
  },
  "CAP_64ef4354": {
   "en": "Visuo-Tactile Cross-Attention Fusion",
   "zh": "视觉-触觉交叉注意力融合",
   "level": "l3"
  },
  "CAP_744c7bb2": {
   "en": "Autoregressive Tactile Forecasting",
   "zh": "自回归触觉信号预测",
   "level": "l3"
  },
  "CAP_9f903d10": {
   "en": "Multimodal Synchronized Acquisition",
   "zh": "多模态同步采集与时间对齐",
   "level": "l3"
  },
  "CAP_f9ed17cb": {
   "en": "Cross-Modal Curriculum Training",
   "zh": "跨模态课程训练",
   "level": "l3"
  },
  "CAP_0f24b7c9": {
   "en": "Cross-Modal Representation for Dexterous Imitation",
   "zh": "跨模态表征驱动灵巧手模仿学习",
   "level": "l3"
  },
  "CAP_ac846639": {
   "en": "Multi-View 3D Geometric Contrastive Representation",
   "zh": "多视角3D几何对比表征学习",
   "level": "l2"
  },
  "CAP_c99b78ec": {
   "en": "Cross-View Feature Aggregation",
   "zh": "跨视角特征聚合",
   "level": "l3"
  },
  "CAP_ab5702f5": {
   "en": "Multi-View Voxel Representation for Manipulation",
   "zh": "多视角体素化表征与操控策略",
   "level": "l3"
  },
  "CAP_3b3f34ca": {
   "en": "Multi-Viewpoint Contrastive Place Representation",
   "zh": "多视点对比位置表征学习",
   "level": "l2"
  },
  "CAP_4dc936fd": {
   "en": "Weakly Supervised Same-Place Positive Mining",
   "zh": "弱监督同地点正样本构造",
   "level": "l3"
  },
  "CAP_e3404b29": {
   "en": "Weakly Supervised Ranking Contrastive Loss",
   "zh": "弱监督排序对比损失",
   "level": "l3"
  },
  "CAP_596fb8df": {
   "en": "Project 3D to Multi View Space",
   "zh": "3D投影到多视角空间",
   "level": "l3"
  },
  "CAP_205f66c3": {
   "en": "2D Positional Embedding Lifting",
   "zh": "2D位置编码升3D点云编码",
   "level": "l3"
  },
  "CAP_883a5726": {
   "en": "3D Scene Multi-View Rendering",
   "zh": "3D场景多视角渲染与掩码提取",
   "level": "l3"
  },
  "CAP_ea3efc38": {
   "en": "Self-Supervised Contrastive Anomaly Detection",
   "zh": "自监督对比异常检测",
   "level": "l2"
  },
  "CAP_15d21f5e": {
   "en": "Contrastive Framework Setup",
   "zh": "对比框架搭建",
   "level": "l3"
  },
  "CAP_a6a4ee7d": {
   "en": "Distribution Shift Augmentation",
   "zh": "分布偏移增强",
   "level": "l3"
  },
  "CAP_428def7f": {
   "en": "CSI Contrastive Training",
   "zh": "CSI 对比训练",
   "level": "l3"
  },
  "CAP_709c064e": {
   "en": "Comprehensive Contrastive Scoring",
   "zh": "综合对比评分",
   "level": "l3"
  },
  "CAP_0baa2c4d": {
   "en": "Dual Tower Contrastive Alignment",
   "zh": "双塔对比对齐",
   "level": "l2"
  },
  "CAP_2a30e403": {
   "en": "Dual Tower Visual Text Encoding",
   "zh": "双塔视觉文本编码",
   "level": "l3"
  },
  "CAP_ec8b7493": {
   "en": "Embedding Cosine Similarity",
   "zh": "嵌入余弦相似度",
   "level": "l3"
  },
  "CAP_10c0f61e": {
   "en": "Dual Tower InfoNCE Contrastive Loss",
   "zh": "双塔 InfoNCE 对比损失",
   "level": "l3"
  },
  "CAP_ce152628": {
   "en": "SigLIP Sigmoid Contrastive Loss",
   "zh": "SigLIP Sigmoid 对比损失",
   "level": "l3"
  },
  "CAP_aa1f99fa": {
   "en": "Zero Shot Similarity Decision",
   "zh": "零样本相似度决策",
   "level": "l3"
  },
  "CAP_810e9553": {
   "en": "Value Implicit Pretraining",
   "zh": "值隐式视频预训练",
   "level": "l2"
  },
  "CAP_8c2dd09b": {
   "en": "Offline Goal Conditioned RL Dual",
   "zh": "离线目标条件 RL 对偶",
   "level": "l3"
  },
  "CAP_c8b33e88": {
   "en": "Embedding Distance Reward",
   "zh": "嵌入距离视觉奖励",
   "level": "l3"
  },
  "CAP_f74806f5": {
   "en": "Implicit Time Contrastive",
   "zh": "隐式时序对比学习",
   "level": "l3"
  },
  "CAP_62dd395c": {
   "en": "Visual Reward Evaluation",
   "zh": "视觉奖励表征评测",
   "level": "l3"
  },
  "CAP_79099d3c": {
   "en": "Time Contrastive Video Learning",
   "zh": "时序对比视频学习",
   "level": "l3"
  },
  "CAP_e972e269": {
   "en": "Frozen Encoder Downstream Policy Finetuning",
   "zh": "冻结编码器下游策略微调",
   "level": "l3"
  },
  "CAP_e4848511": {
   "en": "Multi-Objective Video Representation Pretraining",
   "zh": "多目标视频表征预训练",
   "level": "l3"
  },
  "CAP_91188096": {
   "en": "Robot Manipulation Evaluation Suite",
   "zh": "机器人视觉表征评测套件",
   "level": "l3"
  },
  "CAP_dab1fdd4": {
   "en": "Multi-View Contrastive Imitation Learning",
   "zh": "多视角对比模仿学习",
   "level": "l2"
  },
  "CAP_83f78320": {
   "en": "Multi-View Triplet Contrastive Learning",
   "zh": "多视角三元组对比学习",
   "level": "l3"
  },
  "CAP_616c3bcf": {
   "en": "Multi-View Imitation Reward",
   "zh": "多视角模仿奖励",
   "level": "l3"
  },
  "CAP_bc3744ab": {
   "en": "Contrastive Robot Learning Evaluation",
   "zh": "对比式机器人学习评测",
   "level": "l3"
  },
  "CAP_94c43ea8": {
   "en": "Ego4D Time Contrastive Representation Pretraining",
   "zh": "Ego4D 时序对比表征预训练",
   "level": "l2"
  },
  "CAP_336be467": {
   "en": "Instance Contrastive RL Training",
   "zh": "实例对比强化学习训练",
   "level": "l2"
  },
  "CAP_5cb141cd": {
   "en": "Instance Contrastive RL Auxiliary Loss",
   "zh": "实例对比 RL 辅助损失",
   "level": "l3"
  },
  "CAP_9d9075b7": {
   "en": "Contrastive RL Policy Deployment",
   "zh": "对比 RL 策略部署",
   "level": "l3"
  },
  "CAP_639fe034": {
   "en": "Contrastive RL Benchmark Evaluation",
   "zh": "对比 RL 基准评测",
   "level": "l3"
  },
  "CAP_001125bf": {
   "en": "Action-Conditioned Contrastive Policy Learning",
   "zh": "动作条件对比策略学习",
   "level": "l2"
  },
  "CAP_15401e04": {
   "en": "YouTube Driving Action Label Extraction",
   "zh": "YouTube 驾驶动作标签抽取",
   "level": "l3"
  },
  "CAP_4b7f359a": {
   "en": "Action-Conditioned Contrastive Policy Pretraining",
   "zh": "动作条件对比策略预训练",
   "level": "l3"
  },
  "CAP_e7bee657": {
   "en": "Contrastive Driving Policy Finetuning",
   "zh": "对比驾驶策略微调",
   "level": "l3"
  },
  "CAP_7291b033": {
   "en": "Contrastive Driving Evaluation",
   "zh": "对比驾驶评测",
   "level": "l3"
  },
  "CAP_2f9d8c24": {
   "en": "ROS SIL/HIL Algorithm Debug",
   "zh": "ROS 原生 SIL/HIL 算法调试",
   "level": "l3"
  },
  "CAP_9a521768": {
   "en": "SIL HIL Behavior Diff Check",
   "zh": "SIL-HIL 行为差异容差检查",
   "level": "l3"
  },
  "CAP_bc5e0d25": {
   "en": "ROS CI Simulation Regression",
   "zh": "CI 仿真回归",
   "level": "l3"
  },
  "CAP_ec0381fe": {
   "en": "Multicopter Cascaded Position Hold Controller",
   "zh": "多旋翼级联位置保持控制器",
   "level": "l3"
  },
  "CAP_0951dfb6": {
   "en": "Cascade PID Trajectory Tracking",
   "zh": "串级 PID 轨迹跟踪",
   "level": "l3"
  },
  "CAP_1ed5e2f7": {
   "en": "ECU Signal Conditioning and I/O Configuration",
   "zh": "ECU 信号调理与 I/O 配置",
   "level": "l3"
  },
  "CAP_9be924ed": {
   "en": "CAN Bus Node Simulation",
   "zh": "CAN 总线节点仿真",
   "level": "l3"
  },
  "CAP_78370ae8": {
   "en": "HITL Firmware Configuration and Flashing",
   "zh": "HITL 固件配置与烧录",
   "level": "l3"
  },
  "CAP_0b0f06e5": {
   "en": "HITL Simulator Serial Connection",
   "zh": "HITL 仿真器串口连接",
   "level": "l3"
  },
  "CAP_283d6b36": {
   "en": "HITL Sensor Data Injection",
   "zh": "HITL 传感器数据注入",
   "level": "l3"
  },
  "CAP_8983319f": {
   "en": "ULog Flight Data Analysis",
   "zh": "ULog 飞行日志分析",
   "level": "l3"
  },
  "CAP_9ffda0b7": {
   "en": "Power Electronics Topology Modeling",
   "zh": "电力电子拓扑建模",
   "level": "l3"
  },
  "CAP_403a37f2": {
   "en": "CHIL Controller PWM/ADC Interface",
   "zh": "CHIL 控制器 PWM/ADC 接入",
   "level": "l3"
  },
  "CAP_5adad696": {
   "en": "CHIL Closed-Loop Timing Calibration",
   "zh": "CHIL 闭环时序校准",
   "level": "l3"
  },
  "CAP_6890a2fc": {
   "en": "CHIL Closed-Loop Execution and Switching Dynamics Verification",
   "zh": "CHIL 闭环运行与开关动态验证",
   "level": "l3"
  },
  "CAP_61359dbb": {
   "en": "Power Quality Harmonic Analysis",
   "zh": "电能质量谐波分析",
   "level": "l3"
  },
  "CAP_30585ec0": {
   "en": "Mock Real Driver Contract",
   "zh": "mock-真机驱动接口等价契约",
   "level": "l3"
  },
  "CAP_d2c05415": {
   "en": "Real-Time QP Solver Integration",
   "zh": "实时QP求解器集成",
   "level": "l3"
  },
  "CAP_efe3f02a": {
   "en": "Control-Affine System Modeling",
   "zh": "控制仿射系统建模",
   "level": "l3"
  },
  "CAP_5b160417": {
   "en": "Physics Simulation Setup",
   "zh": "物理仿真环境搭建",
   "level": "l3"
  },
  "CAP_1ebc85b1": {
   "en": "Physics Simulation Step",
   "zh": "物理仿真步进",
   "level": "l3"
  },
  "CAP_3a0c0d57": {
   "en": "Neural CBF Formal Verification",
   "zh": "神经CBF形式化验证",
   "level": "l3"
  },
  "CAP_67d31c03": {
   "en": "Gaussian Process CBF Synthesis",
   "zh": "高斯过程CBF合成",
   "level": "l3"
  },
  "CAP_ff3ad4a4": {
   "en": "Online CBF Adaptation",
   "zh": "在线CBF自适应",
   "level": "l3"
  },
  "CAP_1b53c055": {
   "en": "Composite CBF Aggregation",
   "zh": "复合CBF聚合",
   "level": "l3"
  },
  "CAP_dd492246": {
   "en": "PINN-CBF Training",
   "zh": "PINN-CBF训练",
   "level": "l3"
  },
  "CAP_fb2554b2": {
   "en": "Neural CBF Verification",
   "zh": "神经CBF验证",
   "level": "l3"
  },
  "CAP_a66f1a3a": {
   "en": "Symbolic Derivative Bounds Propagation",
   "zh": "符号导数边界传播",
   "level": "l3"
  },
  "CAP_cd391533": {
   "en": "CBF Condition Check",
   "zh": "CBF条件检查",
   "level": "l3"
  },
  "CAP_1931ca5c": {
   "en": "CBF-Gated Safe RL Exploration",
   "zh": "CBF门控安全RL探索",
   "level": "l3"
  },
  "CAP_3ca7723a": {
   "en": "CBF-Informed Reward Shaping",
   "zh": "CBF信息奖励塑形",
   "level": "l3"
  },
  "CAP_04a56aaa": {
   "en": "Joint CBF-Policy Optimization",
   "zh": "联合CBF-策略优化",
   "level": "l3"
  },
  "CAP_0814bb6b": {
   "en": "Probabilistic CBF Safety Layer",
   "zh": "概率CBF安全层",
   "level": "l3"
  },
  "CAP_3722181e": {
   "en": "Runtime Safety Filter for RL Deployment",
   "zh": "RL部署运行时安全滤波器",
   "level": "l3"
  },
  "CAP_07155f8e": {
   "en": "CBF-RL Barrier Reward",
   "zh": "CBF-RL障碍奖励",
   "level": "l3"
  },
  "CAP_cdc5ddc1": {
   "en": "CLF-QP Stabilization Shell for Learning Policies",
   "zh": "学习型策略 CLF-QP 稳定化壳",
   "level": "l2"
  },
  "CAP_f01de638": {
   "en": "CLF Construction and Gradient Analysis",
   "zh": "CLF 候选构造与梯度解析",
   "level": "l3"
  },
  "CAP_c9eb8be9": {
   "en": "CLF-QP Min-Norm Stabilization",
   "zh": "CLF-QP 最小范数稳定化求解",
   "level": "l3"
  },
  "CAP_d4192ef1": {
   "en": "CLF Decay Rate Scheduling",
   "zh": "CLF 衰减率调度与可行性松弛",
   "level": "l3"
  },
  "CAP_f1e5e5bc": {
   "en": "Neural CLF Synthesis via Counterexample Guidance",
   "zh": "反例引导神经 CLF 合成",
   "level": "l2"
  },
  "CAP_22b7a85e": {
   "en": "Neural CLF Parametrization",
   "zh": "神经 CLF 参数化",
   "level": "l3"
  },
  "CAP_7a4e1b04": {
   "en": "Lyapunov Condition Counterexample Search",
   "zh": "Lyapunov 条件反例搜索",
   "level": "l3"
  },
  "CAP_917bc09d": {
   "en": "Counterexample-Guided Alternating Training",
   "zh": "反例引导交替训练",
   "level": "l3"
  },
  "CAP_721aacb1": {
   "en": "Learned CLF Formal Verification",
   "zh": "学习 CLF 形式化验证与 QP 部署",
   "level": "l3"
  },
  "CAP_a6a9d7f5": {
   "en": "CLF-MPC Receding Horizon Stabilization",
   "zh": "CLF-MPC 滚动时域镇定",
   "level": "l2"
  },
  "CAP_80edb8ec": {
   "en": "CLF Terminal Set Construction",
   "zh": "CLF 终端集构造",
   "level": "l3"
  },
  "CAP_4e682997": {
   "en": "CLF-MPC Horizon Assembly and Solving",
   "zh": "CLF-MPC 时域组装与求解",
   "level": "l3"
  },
  "CAP_a249aabf": {
   "en": "Learning Dynamics Embedded CLF-MPC",
   "zh": "学习动力学嵌 CLF-MPC 稳定化",
   "level": "l3"
  },
  "CAP_c76d3636": {
   "en": "Space-Time Reservation Table Construction",
   "zh": "时空预留表构造",
   "level": "l3"
  },
  "CAP_76f7cd7f": {
   "en": "Centralized Cooperative Payload Estimation",
   "zh": "集中式协同负载估计",
   "level": "l2"
  },
  "CAP_178f0683": {
   "en": "Cooperative Grasp Frame Transformation Estimation",
   "zh": "协同抓取帧变换估计",
   "level": "l3"
  },
  "CAP_eddffad6": {
   "en": "Cooperative Payload Mass and COM Estimation",
   "zh": "协同负载质量与质心估计",
   "level": "l3"
  },
  "CAP_39d2abe6": {
   "en": "Cooperative Payload Inertia Tensor Estimation",
   "zh": "协同负载惯性张量估计",
   "level": "l3"
  },
  "CAP_e60cb82a": {
   "en": "Decentralized Cooperative Payload Estimation",
   "zh": "分布式协同负载估计",
   "level": "l2"
  },
  "CAP_149f13ef": {
   "en": "Decentralized Rigid-Body Parameter Recursive Identification",
   "zh": "分布式刚体参数递推辨识",
   "level": "l3"
  },
  "CAP_74e73190": {
   "en": "Multi-Coordinate Dynamic Consensus Estimation",
   "zh": "多坐标系动态一致性估计融合",
   "level": "l3"
  },
  "CAP_1e751646": {
   "en": "Dual Quaternion Pose Filter Estimation",
   "zh": "对偶四元数位姿滤波估计",
   "level": "l3"
  },
  "CAP_390aa5ee": {
   "en": "Adaptive Cooperative Payload Estimation",
   "zh": "自适应协同负载估计",
   "level": "l2"
  },
  "CAP_20f296d2": {
   "en": "Adaptive Cooperative Manipulation Control",
   "zh": "协同操作自适应控制与负载动力学估计",
   "level": "l3"
  },
  "CAP_603bfc09": {
   "en": "Prescribed Performance Cooperative Control",
   "zh": "预定义性能协同控制",
   "level": "l3"
  },
  "CAP_2695f10b": {
   "en": "Grasp Load and Surface Estimation",
   "zh": "抓取载荷与表面估计",
   "level": "l3"
  },
  "CAP_c9a978de": {
   "en": "Payload Gravity Feedforward Law",
   "zh": "负载重力前馈律",
   "level": "l3"
  },
  "CAP_8c84940e": {
   "en": "Grasp Matrix Pseudo-Inverse Load Distribution",
   "zh": "抓取矩阵伪逆负载分配",
   "level": "l3"
  },
  "CAP_6db0ee1f": {
   "en": "Raw Sensor Cooperative Perception",
   "zh": "原始传感器协同感知",
   "level": "l3"
  },
  "CAP_f9f5e60d": {
   "en": "Ego Pose Estimation & Broadcast",
   "zh": "自我位姿估计与广播",
   "level": "l3"
  },
  "CAP_85679597": {
   "en": "Cross-Agent Point Cloud Pose Transform",
   "zh": "跨智能体点云位姿变换",
   "level": "l3"
  },
  "CAP_8fa70145": {
   "en": "Raw Point Cloud Stitching",
   "zh": "原始点云拼接",
   "level": "l3"
  },
  "CAP_1e39f129": {
   "en": "Joint 3D Detection on Fused Point Cloud",
   "zh": "融合点云联合3D检测",
   "level": "l3"
  },
  "CAP_69f07baa": {
   "en": "Cooperative Perception Feature Distillation",
   "zh": "协同感知特征蒸馏",
   "level": "l2"
  },
  "CAP_0adbd6e2": {
   "en": "Pose-Error Robust Cooperative Perception",
   "zh": "位姿误差鲁棒协同感知",
   "level": "l2"
  },
  "CAP_8a5ba636": {
   "en": "Joint Detection and Distillation Training",
   "zh": "联合检测与蒸馏训练",
   "level": "l3"
  },
  "CAP_11082ead": {
   "en": "Pose-Error Aware Feature Spatial Alignment",
   "zh": "位姿误差感知特征空间对齐",
   "level": "l3"
  },
  "CAP_b5ff6c57": {
   "en": "V2X BEV Feature Encoding",
   "zh": "V2X 鸟瞰图特征编码",
   "level": "l3"
  },
  "CAP_7a1e5c3b": {
   "en": "Multi-Agent Feature Attention Fusion",
   "zh": "多智能体特征注意力融合",
   "level": "l3"
  },
  "CAP_3a028e5b": {
   "en": "Multi-Robot Collaborative Localization",
   "zh": "多机器人协同定位",
   "level": "l3"
  },
  "CAP_a66f18c6": {
   "en": "Acoustic Ranging Factor Graph Fusion",
   "zh": "声学测距因子图融合",
   "level": "l3"
  },
  "CAP_1ee87e4c": {
   "en": "Multi Fleet Traffic Coordination",
   "zh": "多车队交通协调",
   "level": "l2"
  },
  "CAP_644e98ee": {
   "en": "Multi-Robot Volumetric Exploration",
   "zh": "多机器人体积探索",
   "level": "l2"
  },
  "CAP_e733c6a5": {
   "en": "Fleet Task Bidding Allocation",
   "zh": "舰队任务竞价分配",
   "level": "l3"
  },
  "CAP_4e618494": {
   "en": "Traffic Schedule Conflict Prevention",
   "zh": "交通调度冲突预防",
   "level": "l3"
  },
  "CAP_2dfe4dd8": {
   "en": "Traffic Conflict Negotiation",
   "zh": "交通冲突协商",
   "level": "l3"
  },
  "CAP_b0662035": {
   "en": "Building Infrastructure Coordination",
   "zh": "建筑基础设施协调",
   "level": "l3"
  },
  "CAP_aa1d6cde": {
   "en": "Automated Battery Recharge Scheduling",
   "zh": "自动充电任务调度",
   "level": "l3"
  },
  "CAP_bb46014f": {
   "en": "Belief Aware Mission Planning",
   "zh": "信念感知任务规划",
   "level": "l3"
  },
  "CAP_f5686964": {
   "en": "Mesh Networked Decentralized Coordination",
   "zh": "Mesh 网络去中心协调",
   "level": "l3"
  },
  "CAP_1ba4ec79": {
   "en": "Multi Modal Degeneracy Aware Positioning",
   "zh": "多模态退化感知定位",
   "level": "l3"
  },
  "CAP_6e1dda6d": {
   "en": "Large Scale Task Grounding",
   "zh": "大规模任务接地",
   "level": "l3"
  },
  "CAP_4deb8e2b": {
   "en": "Robot Position Annotation",
   "zh": "机器人位置标注",
   "level": "l3"
  },
  "CAP_8c8f9357": {
   "en": "Cooperative Spanning Tree Sweep Planning",
   "zh": "协同生成树扫掠规划",
   "level": "l2"
  },
  "CAP_4c2b9547": {
   "en": "Topology Loop Equilibrium Division",
   "zh": "拓扑环均衡划分",
   "level": "l3"
  },
  "CAP_b7342ecc": {
   "en": "Sweep Coverage Path Execution",
   "zh": "扫掠覆盖路径执行",
   "level": "l2"
  },
  "CAP_faf95d63": {
   "en": "Cooperative Perimeter Traversal with Meet-and-Stop",
   "zh": "相遇即停协同周界遍历",
   "level": "l3"
  },
  "CAP_2592d38b": {
   "en": "Multi-Robot Sweep Mapping",
   "zh": "多机器人扫掠建图",
   "level": "l2"
  },
  "CAP_751b2842": {
   "en": "Coverage-Oriented Multi-Robot Frontier Coordination",
   "zh": "覆盖导向多机器人前沿协调",
   "level": "l3"
  },
  "CAP_7cd424a5": {
   "en": "Shared-Map Coverage Sweep Planning",
   "zh": "共享地图覆盖扫掠规划",
   "level": "l2"
  },
  "CAP_e1bb611e": {
   "en": "Optimal Agent Number Estimation",
   "zh": "最优机器人数量估计",
   "level": "l3"
  },
  "CAP_b6112b6a": {
   "en": "Coordinated Sweep Lane Allocation",
   "zh": "协同扫掠车道在线分配",
   "level": "l3"
  },
  "CAP_4b803e92": {
   "en": "Cooperative Steady-hand Admittance Control",
   "zh": "协作稳手机器人控制",
   "level": "l3"
  },
  "CAP_5d8893aa": {
   "en": "Task Execution Correction and Verification",
   "zh": "纠正任务执行与验证",
   "level": "l3"
  },
  "CAP_f1c50e18": {
   "en": "Closed-kinematic-chain Constraint Manifold Projection Planning",
   "zh": "闭链约束流形投影规划",
   "level": "l3"
  },
  "CAP_b4b88939": {
   "en": "Object-level Impedance Internal-force Regulation",
   "zh": "object-level 阻抗内力调节",
   "level": "l3"
  },
  "CAP_32f059bc": {
   "en": "Cable-aware Whole-body Kinodynamic Online Planning",
   "zh": "缆绳感知 whole-body kinodynamic 在线规划",
   "level": "l3"
  },
  "CAP_482a537f": {
   "en": "Sensorless Load-state EKF Observation",
   "zh": "无传感器负载状态 EKF 观测",
   "level": "l3"
  },
  "CAP_4a0fccd9": {
   "en": "Structpath Rule Generation",
   "zh": "Structpath 规则自动生成",
   "level": "l3"
  },
  "CAP_f3897e27": {
   "en": "Structure Specification and Rule Generation",
   "zh": "结构规约与规则生成",
   "level": "l3"
  },
  "CAP_aacd1c7c": {
   "en": "Brick Pickup and Placement",
   "zh": "砖块拾取与放置",
   "level": "l3"
  },
  "CAP_54fb9ee0": {
   "en": "Autonomous Climbing and Navigation",
   "zh": "自主爬行与地形导航",
   "level": "l3"
  },
  "CAP_3d705884": {
   "en": "Stigmergic Rule Matching",
   "zh": "stigmergic 规则匹配",
   "level": "l3"
  },
  "CAP_58f2ee98": {
   "en": "Stigmergic Structure-state Coordination",
   "zh": "stigmergic 结构状态协调",
   "level": "l3"
  },
  "CAP_cb8b0b16": {
   "en": "Stigmergic Construction Loop",
   "zh": "stigmergic 建造循环",
   "level": "l3"
  },
  "CAP_e289c09b": {
   "en": "Stigmergic Completion Detection",
   "zh": "stigmergic 完工检测",
   "level": "l3"
  },
  "CAP_7329df3b": {
   "en": "MADDPG Off-policy Update",
   "zh": "MADDPG 离策略更新",
   "level": "l3"
  },
  "CAP_7781b0a8": {
   "en": "Cooperative Task-execution Policy Learning and Deployment",
   "zh": "协同任务执行策略学习与部署",
   "level": "l3"
  },
  "CAP_6d94bdf3": {
   "en": "Cooperative Reward Shaping",
   "zh": "协同奖励塑形",
   "level": "l3"
  },
  "CAP_ef6f2816": {
   "en": "Cooperative Transport Perception",
   "zh": "协同搬运感知",
   "level": "l2"
  },
  "CAP_6845bd35": {
   "en": "Multi-Robot Environmental Sensing",
   "zh": "多机器人环境感知",
   "level": "l3"
  },
  "CAP_5a48fef8": {
   "en": "Multi-Robot Object Detection",
   "zh": "多机器人物体检测",
   "level": "l3"
  },
  "CAP_ef96b573": {
   "en": "Multi-Robot Relative Pose Estimation",
   "zh": "多机器人相对位姿估计",
   "level": "l3"
  },
  "CAP_32549c3f": {
   "en": "Cage Configuration Computation",
   "zh": "Cage构型计算",
   "level": "l2"
  },
  "CAP_9df20f7a": {
   "en": "Object Boundary Shape Modeling",
   "zh": "物体边界形状建模",
   "level": "l3"
  },
  "CAP_1eb5af2d": {
   "en": "Cage Configuration Solver",
   "zh": "Cage构型求解器",
   "level": "l3"
  },
  "CAP_527e818e": {
   "en": "Transport Task Allocation",
   "zh": "搬运任务分配",
   "level": "l3"
  },
  "CAP_0ee8185d05": {
   "en": "Decentralized Formation Control for Transport",
   "zh": "去中心化搬运编队控制",
   "level": "l2"
  },
  "CAP_8a99705b": {
   "en": "Decentralized Path Planning",
   "zh": "去中心化路径规划",
   "level": "l3"
  },
  "CAP_62faf409": {
   "en": "Decentralized PI Formation Control",
   "zh": "去中心化PI编队控制",
   "level": "l3"
  },
  "CAP_7ae4c7c6": {
   "en": "Mobile Chassis Speed Control",
   "zh": "移动底盘速度控制",
   "level": "l3"
  },
  "CAP_6e27275b": {
   "en": "Coordinated Transport Execution",
   "zh": "协调搬运执行",
   "level": "l2"
  },
  "CAP_4815f6b8": {
   "en": "Coordinated Transport Trajectory Generation",
   "zh": "协调搬运轨迹生成",
   "level": "l3"
  },
  "CAP_ba51ab19": {
   "en": "Cage Integrity Monitoring",
   "zh": "Cage完整性监测",
   "level": "l3"
  },
  "CAP_7368e9a4": {
   "en": "Target Arrival Verification",
   "zh": "到达目标判定",
   "level": "l3"
  },
  "CAP_a945985640": {
   "en": "Multi-Arm Grasp Planning",
   "zh": "多臂抓取规划",
   "level": "l2"
  },
  "CAP_858e3677": {
   "en": "Object Detection and Pose Estimation for Grasp",
   "zh": "抓取物体检测与位姿估计",
   "level": "l3"
  },
  "CAP_ccc3f55a": {
   "en": "Multi-Arm Grasp Generation",
   "zh": "多臂抓取姿态生成",
   "level": "l3"
  },
  "CAP_cebf9a0f": {
   "en": "Multi-Arm Pre-Grasp Trajectory Planning",
   "zh": "多臂预抓取轨迹规划",
   "level": "l3"
  },
  "CAP_ad59abc8": {
   "en": "Closed-Chain Kinematic Coordination",
   "zh": "闭链运动学协调",
   "level": "l2"
  },
  "CAP_00b2976e": {
   "en": "Closed-Chain Kinematic Modeling",
   "zh": "闭链运动学建模",
   "level": "l3"
  },
  "CAP_62120204": {
   "en": "Closed-Chain Trajectory Planning",
   "zh": "闭链轨迹规划",
   "level": "l3"
  },
  "CAP_86fa8aaa": {
   "en": "Multi-Arm Trajectory Time Synchronization",
   "zh": "多臂轨迹时间同步",
   "level": "l3"
  },
  "CAP_5378f4ac": {
   "en": "Coordinated Transport with Force Monitoring",
   "zh": "力监测协同搬运",
   "level": "l2"
  },
  "CAP_c8fe9b88": {
   "en": "Joint Trajectory Execution",
   "zh": "关节轨迹执行",
   "level": "l3"
  },
  "CAP_89179fd1": {
   "en": "Force/Torque Sensor Monitoring",
   "zh": "力/力矩传感器监测",
   "level": "l3"
  },
  "CAP_fea66744": {
   "en": "Object Placement",
   "zh": "物体放置",
   "level": "l2"
  },
  "CAP_1e14db32": {
   "en": "Target Placement Pose Verification",
   "zh": "放置位姿校验",
   "level": "l3"
  },
  "CAP_a5e99f8d": {
   "en": "Object Placement Control",
   "zh": "物体放置控制",
   "level": "l3"
  },
  "CAP_51ac40ef": {
   "en": "MARL Environment Setup",
   "zh": "MARL环境搭建能力",
   "level": "l3"
  },
  "CAP_6538ea84": {
   "en": "Cooperative Transport Scene Configuration",
   "zh": "协同搬运场景配置能力",
   "level": "l3"
  },
  "CAP_de05a61a": {
   "en": "Decentralized Actor Execution",
   "zh": "去中心化Actor执行能力",
   "level": "l3"
  },
  "CAP_db5c20f9": {
   "en": "Policy Evaluation and Migration",
   "zh": "策略评估与迁移能力",
   "level": "l3"
  },
  "CAP_20945ea5": {
   "en": "UAV-Cable-Load System Modeling",
   "zh": "UAV-绳索-负载系统建模能力",
   "level": "l2"
  },
  "CAP_4c3261cc": {
   "en": "Cable Tension and Swing Dynamics Modeling",
   "zh": "绳索张力与摆动动力学建模",
   "level": "l3"
  },
  "CAP_18132bd6": {
   "en": "Multi-UAV Formation Kinematic Configuration",
   "zh": "多机编队几何关系建模",
   "level": "l3"
  },
  "CAP_25edf4fc": {
   "en": "Payload Trajectory Planning and Swing Suppression",
   "zh": "负载轨迹规划与摆动抑制能力",
   "level": "l2"
  },
  "CAP_7cb87b4b": {
   "en": "Payload Point-to-Point Trajectory Generation",
   "zh": "负载点到点轨迹生成",
   "level": "l3"
  },
  "CAP_998ad822": {
   "en": "Obstacle Perception and Collision Avoidance",
   "zh": "障碍物感知与避碰",
   "level": "l3"
  },
  "CAP_d65c5bd9": {
   "en": "Multi-UAV Cable Inverse Kinematics",
   "zh": "多机逆运动学求解能力",
   "level": "l2"
  },
  "CAP_e2c3c07c": {
   "en": "Cable Length Calculation and Tension Verification",
   "zh": "绳长计算与张力校验",
   "level": "l3"
  },
  "CAP_1798821d": {
   "en": "UAV Inter-Collision and Obstacle Checking",
   "zh": "避碰检查与轨迹修正",
   "level": "l3"
  },
  "CAP_5cbe7437": {
   "en": "Multi-UAV Formation Control and Coordinated Execution",
   "zh": "多UAV编队控制与协同执行能力",
   "level": "l2"
  },
  "CAP_bd2738f5": {
   "en": "UAV Inner-Loop Position and Attitude Control",
   "zh": "UAV姿态-位置内环控制",
   "level": "l3"
  },
  "CAP_9c3c244e": {
   "en": "Coordinated Transport Execution and Abnormality Handling",
   "zh": "协同搬运执行与异常处理",
   "level": "l3"
  },
  "CAP_b54f2342": {
   "en": "Payload Release and Task Completion",
   "zh": "负载释放与任务完成",
   "level": "l3"
  },
  "CAP_89457af6": {
   "en": "RotorS Simulation Environment Setup",
   "zh": "RotorS仿真环境搭建与验证能力",
   "level": "l3"
  },
  "CAP_da8c7dae": {
   "en": "HardwareVelocityCommandDispatch",
   "zh": "硬件速度指令下发",
   "level": "l3"
  },
  "CAP_2c94514d": {
   "en": "PDDL Dual-Arm Task Domain Modeling",
   "zh": "基于 PDDL 的双臂符号任务域建模",
   "level": "l2"
  },
  "CAP_7fb7f1f7": {
   "en": "PDDL Bimanual Predicate Definition",
   "zh": "双臂协同符号谓词定义",
   "level": "l3"
  },
  "CAP_8c7dda8f": {
   "en": "PDDLStream Blackbox Sampler Integration",
   "zh": "PDDLStream 黑盒采样器约束集成",
   "level": "l2"
  },
  "CAP_f5bef89b": {
   "en": "Bimanual Handover Sampling Stream",
   "zh": "双臂交接采样流",
   "level": "l3"
  },
  "CAP_6deb0e6a": {
   "en": "Symbolic and Motion Joint Planning",
   "zh": "符号与运动联合规划",
   "level": "l2"
  },
  "CAP_a1c19bd9": {
   "en": "Optimistic Adaptive Symbolic Task Search",
   "zh": "乐观自适应符号任务搜索",
   "level": "l3"
  },
  "CAP_1fb15283": {
   "en": "MoveIt2 Dual-Arm Motion Planning Interface",
   "zh": "MoveIt2 双臂轨迹规划接口",
   "level": "l3"
  },
  "CAP_0cc80187": {
   "en": "Execution and Feedback",
   "zh": "执行与反馈",
   "level": "l2"
  },
  "CAP_bf085be5": {
   "en": "Behavior Tree Action Execution Management",
   "zh": "行为树动作执行调度管理",
   "level": "l3"
  },
  "CAP_dfdc9eec": {
   "en": "Symbolic State Predicate Updating",
   "zh": "符号状态谓词动态更新与重规划触发",
   "level": "l3"
  },
  "CAP_3e3e7453": {
   "en": "MTC Task Setup and State Capture",
   "zh": "MTC 任务初始化与状态捕获",
   "level": "l2"
  },
  "CAP_65648b82": {
   "en": "Dual-Arm Subtask Decomposition and Seed Generation",
   "zh": "双臂子任务分解与种子生成",
   "level": "l2"
  },
  "CAP_95d7002f": {
   "en": "Dual-Arm Trajectory Planning via MTC Containers",
   "zh": "基于 MTC 容器的双臂轨迹规划",
   "level": "l2"
  },
  "CAP_72f08cb2": {
   "en": "PlanningScene Management and Execution",
   "zh": "规划场景管理与执行",
   "level": "l2"
  },
  "CAP_70b0375a": {
   "en": "MTC Task Initialization",
   "zh": "MTC 任务初始化",
   "level": "l3"
  },
  "CAP_8d23754d": {
   "en": "Current State Capture",
   "zh": "当前状态捕获",
   "level": "l3"
  },
  "CAP_7c951c72": {
   "en": "Dual-Arm Sub-Task Container Definition",
   "zh": "双臂子任务容器定义",
   "level": "l3"
  },
  "CAP_9823dc79": {
   "en": "Per-Arm Grasp Pose Generation",
   "zh": "单臂抓取位姿生成",
   "level": "l3"
  },
  "CAP_c204d6be": {
   "en": "Arm Coordination Mode Selection",
   "zh": "双臂协调模式选择",
   "level": "l3"
  },
  "CAP_0929bd08": {
   "en": "Merger-Based Parallel Trajectory Planning",
   "zh": "基于 Merger 的并行轨迹规划",
   "level": "l3"
  },
  "CAP_ca1a6ff1": {
   "en": "Serial Container Sequential Planning",
   "zh": "串行容器顺序规划",
   "level": "l3"
  },
  "CAP_cea259c0": {
   "en": "Object Attachment and PlanningScene Update",
   "zh": "物体附着与规划场景更新",
   "level": "l3"
  },
  "CAP_13a4a6d9": {
   "en": "Synchronized Trajectory Execution",
   "zh": "同步轨迹执行",
   "level": "l3"
  },
  "CAP_ed8cb590": {
   "en": "Object Detachment and PlanningScene Restore",
   "zh": "物体分离与规划场景恢复",
   "level": "l3"
  },
  "CAP_667f1a16": {
   "en": "MTC Task Initialization and Scene Setup",
   "zh": "MTC 任务初始化与场景配置",
   "level": "l3"
  },
  "CAP_5e923d4e": {
   "en": "MTC Dual-Arm Stage Composition and Container Orchestration",
   "zh": "MTC 双臂 Stage 组合与容器编排",
   "level": "l3"
  },
  "CAP_bff85775": {
   "en": "MTC PlanningScene State Management for Bimanual Tasks",
   "zh": "MTC 双臂任务 PlanningScene 状态管理",
   "level": "l3"
  },
  "CAP_e73b0942": {
   "en": "MTC Task Instantiation",
   "zh": "MTC任务实例化与场景初始化",
   "level": "l3"
  },
  "CAP_8329ea1c": {
   "en": "MTC Stage Graph Construction and Validation",
   "zh": "MTC 任务图构建与接口校验",
   "level": "l2"
  },
  "CAP_d89303dd": {
   "en": "Stage and Container Definition",
   "zh": "Stage 与 Container 结构定义",
   "level": "l3"
  },
  "CAP_0227799e": {
   "en": "InterfaceState Initialization",
   "zh": "接口状态初始化",
   "level": "l3"
  },
  "CAP_092cc17f": {
   "en": "Motion Plan Generation and Propagation",
   "zh": "运动规划解生成与传播",
   "level": "l2"
  },
  "CAP_6589cbc7": {
   "en": "Propagation and IK Computation",
   "zh": "状态传播与逆解计算",
   "level": "l3"
  },
  "CAP_f2d94b1f": {
   "en": "Connector State Connection",
   "zh": "连接器状态连接",
   "level": "l3"
  },
  "CAP_edd618ab": {
   "en": "Dual-Arm Solution Fusion and Cost Ranking",
   "zh": "双臂解融合与成本排序",
   "level": "l2"
  },
  "CAP_3559aeb2": {
   "en": "Alternative Cost Selection",
   "zh": "备选容器成本选择",
   "level": "l3"
  },
  "CAP_70cb8019": {
   "en": "Merger Trajectory Merging",
   "zh": "Merger 轨迹合并",
   "level": "l3"
  },
  "CAP_6e99a7cf": {
   "en": "Cost Term Aggregation and Ranking",
   "zh": "成本项聚合与排序",
   "level": "l3"
  },
  "CAP_f3f360ff": {
   "en": "MTC Execution and Feedback",
   "zh": "MTC 执行与反馈",
   "level": "l2"
  },
  "CAP_5ae84297": {
   "en": "MoveIt Execution Interface",
   "zh": "MoveIt 执行接口",
   "level": "l3"
  },
  "CAP_881ab79a": {
   "en": "Execution Monitoring and Failure Feedback",
   "zh": "执行监控与失败反馈",
   "level": "l3"
  },
  "CAP_cc733a11": {
   "en": "Symbolic Task Planning",
   "zh": "符号任务规划",
   "level": "l2"
  },
  "CAP_ccd2034a": {
   "en": "Motion Planning and Task Instantiation",
   "zh": "运动规划与任务实例化",
   "level": "l2"
  },
  "CAP_d25631cc": {
   "en": "Execution and Feedback Management",
   "zh": "执行与反馈管理",
   "level": "l2"
  },
  "CAP_75713e62": {
   "en": "LLM-Driven Dual-Arm Task Decomposition",
   "zh": "LLM驱动的双臂任务分解",
   "level": "l2"
  },
  "CAP_37381890": {
   "en": "Dual-Arm Prompt Semantic Grounding",
   "zh": "双臂提示词语义对齐",
   "level": "l3"
  },
  "CAP_d947b184": {
   "en": "Dual-Arm PDDL/DAG Structural Generation",
   "zh": "双臂PDDL/DAG结构生成",
   "level": "l3"
  },
  "CAP_08e0ae72": {
   "en": "Symbolic Planning and Parallel Scheduling",
   "zh": "符号规划与并行调度",
   "level": "l2"
  },
  "CAP_485dd1b9": {
   "en": "Dual-Arm Graph Re-Traversal Scheduling",
   "zh": "双臂图重遍历调度",
   "level": "l3"
  },
  "CAP_09d1a432": {
   "en": "Bimanual Closed-Loop Execution Engine",
   "zh": "双臂闭环执行引擎",
   "level": "l2"
  },
  "CAP_8c1e1628": {
   "en": "Bimanual Action Synchronization Barrier",
   "zh": "双臂动作同步屏障",
   "level": "l3"
  },
  "CAP_11eadeb2": {
   "en": "Execution Feedback Replanning",
   "zh": "执行反馈动态重规划",
   "level": "l3"
  },
  "CAP_f40476a7": {
   "en": "Wheeled Base Velocity Coordination",
   "zh": "轮式底盘速度协调",
   "level": "l2"
  },
  "CAP_7ff1444f": {
   "en": "Differential Drive Wheel Velocity Coordination",
   "zh": "差速驱动轮速协调分配",
   "level": "l3"
  },
  "CAP_5e69bde5": {
   "en": "Mecanum/Omni Wheel Velocity Coordination",
   "zh": "麦克纳姆全向轮速协调分配",
   "level": "l3"
  },
  "CAP_9552253d": {
   "en": "Steering Wheel Velocity and Angle Coordination",
   "zh": "转向底盘轮速与转向角协调",
   "level": "l3"
  },
  "CAP_562e7bbc": {
   "en": "Manipulator Velocity Coordination",
   "zh": "机械臂速度协调",
   "level": "l2"
  },
  "CAP_ef885dfa": {
   "en": "Cartesian Twist Intake and Frame Transform",
   "zh": "笛卡尔 Twist 接收与坐标变换",
   "level": "l3"
  },
  "CAP_8d8b99e7": {
   "en": "Robot Jacobian Computation",
   "zh": "机器人雅可比矩阵计算",
   "level": "l3"
  },
  "CAP_c4c63872": {
   "en": "Singularity-Aware Velocity Decomposition",
   "zh": "奇异点感知速度分解",
   "level": "l3"
  },
  "CAP_3346fb50": {
   "en": "Null-Space Redundancy Resolution",
   "zh": "零空间冗余度分解",
   "level": "l3"
  },
  "CAP_584ce495": {
   "en": "Joint Velocity Limit Enforcement",
   "zh": "关节速度限位强制",
   "level": "l3"
  },
  "CAP_58da9f9a": {
   "en": "Servo Output Smoothing",
   "zh": "伺服输出信号平滑",
   "level": "l3"
  },
  "CAP_c6f61a51": {
   "en": "Floating Base Whole-Body Velocity Coordination",
   "zh": "浮动基座全身速度协调",
   "level": "l2"
  },
  "CAP_b4d8c76e": {
   "en": "NMPC Velocity Reference Generation",
   "zh": "NMPC 速度参考生成",
   "level": "l3"
  },
  "CAP_fd99ea9d": {
   "en": "Whole-Body Torque Distribution",
   "zh": "全身力矩分配",
   "level": "l3"
  },
  "CAP_d9484d96": {
   "en": "CFP Message Schema Design",
   "zh": "CFP 消息 Schema 设计",
   "level": "l3"
  },
  "CAP_f8ef2dd2": {
   "en": "CNP Manager Implementation",
   "zh": "合同网管理者角色实现",
   "level": "l2"
  },
  "CAP_19c71b8e": {
   "en": "Proposal Evaluation Strategy",
   "zh": "投标评估策略",
   "level": "l3"
  },
  "CAP_b1928c6b": {
   "en": "CNP Commitment Management",
   "zh": "合同网承诺管理",
   "level": "l3"
  },
  "CAP_32ee6a30": {
   "en": "ACL Performative Library",
   "zh": "ACL 消息语义库设计",
   "level": "l3"
  },
  "CAP_78e9494c": {
   "en": "ACL Message Structure",
   "zh": "ACL 消息结构定义",
   "level": "l3"
  },
  "CAP_5417d93c": {
   "en": "Agent Ontology Design",
   "zh": "Agent 本体设计",
   "level": "l3"
  },
  "CAP_f8b6e16a": {
   "en": "Interaction Protocol Composition",
   "zh": "交互协议组合设计",
   "level": "l3"
  },
  "CAP_24509283": {
   "en": "VDA 5050 Schema Definition",
   "zh": "VDA 5050 协议 Schema 定义",
   "level": "l3"
  },
  "CAP_34d799f7": {
   "en": "VDA 5050 Master Control",
   "zh": "VDA 5050 主控系统实现",
   "level": "l3"
  },
  "CAP_58472441": {
   "en": "VDA 5050 AGV Adapter",
   "zh": "VDA 5050 AGV 适配器实现",
   "level": "l3"
  },
  "CAP_aa4c9d77": {
   "en": "VDA 5050 Protocol Compliance",
   "zh": "VDA 5050 协议合规测试",
   "level": "l3"
  },
  "CAP_2307b09a": {
   "en": "Topic Namespace Design",
   "zh": "Topic 命名空间设计",
   "level": "l3"
  },
  "CAP_6a2a6d88": {
   "en": "QoS Policy Configuration",
   "zh": "QoS 策略配置",
   "level": "l3"
  },
  "CAP_131829d8": {
   "en": "Discovery & Domain Management",
   "zh": "发现与域管理",
   "level": "l3"
  },
  "CAP_1572e5b3": {
   "en": "Protocol Stack Integration",
   "zh": "协议栈集成",
   "level": "l3"
  },
  "CAP_2643a60e": {
   "en": "Text Pipeline Coreference Resolution",
   "zh": "文本流水线共指消解",
   "level": "l2"
  },
  "CAP_aed32cf2": {
   "en": "Rule-Based Mention Detection",
   "zh": "基于规则的提及检测",
   "level": "l3"
  },
  "CAP_d3cbbbb4": {
   "en": "Mention Pair Coreference Scoring",
   "zh": "提及对共指打分",
   "level": "l3"
  },
  "CAP_9e70198c": {
   "en": "Coreference Cluster Formation (Greedy)",
   "zh": "共指簇贪心聚合",
   "level": "l3"
  },
  "CAP_29f0efec": {
   "en": "Text-to-Visual Entity Mapping",
   "zh": "文本实体到视觉物体映射",
   "level": "l3"
  },
  "CAP_22a15c8b": {
   "en": "Referent Confidence Estimation",
   "zh": "指代置信度估计",
   "level": "l3"
  },
  "CAP_8006bfac": {
   "en": "Open-World Coreference Resolution",
   "zh": "开放世界共指消解",
   "level": "l2"
  },
  "CAP_20ab0e39": {
   "en": "Multimodal Cue Fusion for Reference Resolution",
   "zh": "多模态线索融合",
   "level": "l3"
  },
  "CAP_83cfbb9c": {
   "en": "Open-World Entity Hypothesis",
   "zh": "开放世界实体假设",
   "level": "l3"
  },
  "CAP_3ee3141f": {
   "en": "Bayesian Referent Posterior Computation",
   "zh": "贝叶斯指称后验计算",
   "level": "l3"
  },
  "CAP_aeedcf2e": {
   "en": "Clarification Trigger for Low-Confidence Coreference",
   "zh": "低置信度澄清触发",
   "level": "l3"
  },
  "CAP_d3e09fb8": {
   "en": "Belief State Persistence for Cross-Turn Coreference",
   "zh": "跨轮次信念状态持久化",
   "level": "l3"
  },
  "CAP_c9c54961": {
   "en": "Neural End-to-End Coreference with Visual Grounding",
   "zh": "神经端到端共指消解与视觉接地",
   "level": "l2"
  },
  "CAP_a0fbcd87": {
   "en": "Span Proposal and Embedding",
   "zh": "跨度提出与嵌入",
   "level": "l3"
  },
  "CAP_d124fe78": {
   "en": "Mention Scoring for Span Filtering",
   "zh": "提及打分与筛选",
   "level": "l3"
  },
  "CAP_530b4bd6": {
   "en": "Antecedent Ranking for Coreference Linking",
   "zh": "先行词排序与共指链接",
   "level": "l3"
  },
  "CAP_a68e5921": {
   "en": "Visual Grounding via Cross-Modal Alignment",
   "zh": "跨模态视觉接地对齐",
   "level": "l3"
  },
  "CAP_20be678f": {
   "en": "Referring Expression Grounding",
   "zh": "指称表达定位",
   "level": "l3"
  },
  "CAP_8b7c7b80": {
   "en": "LLM Prompt/Fine-tuning Coreference Resolution",
   "zh": "LLM 提示/微调共指消解",
   "level": "l2"
  },
  "CAP_2c83b878": {
   "en": "Prompt Template Assembly for Coreference Resolution",
   "zh": "共指消解 Prompt 模板组装",
   "level": "l3"
  },
  "CAP_2fbf84db": {
   "en": "LLM-based Coreference Reasoning",
   "zh": "LLM 共指推理",
   "level": "l3"
  },
  "CAP_e5287c80": {
   "en": "Coreference Hallucination Detection",
   "zh": "共指幻觉检测",
   "level": "l3"
  },
  "CAP_39d3c5f2": {
   "en": "Iterative Coreference Document Generation",
   "zh": "迭代共指文档生成",
   "level": "l3"
  },
  "CAP_ff86eece": {
   "en": "Reversed Training for Coreference Resolution",
   "zh": "共指消解反向训练",
   "level": "l3"
  },
  "CAP_eef75276": {
   "en": "Object Metadata Coreference Reasoning",
   "zh": "物体元数据共指推理",
   "level": "l3"
  },
  "CAP_9a97cdc5": {
   "en": "Text Tokenization and POS Tagging",
   "zh": "文本分词与词性标注",
   "level": "l3"
  },
  "CAP_5a046186": {
   "en": "Named Entity Recognition",
   "zh": "命名实体识别",
   "level": "l3"
  },
  "CAP_8ca659a2": {
   "en": "Coreference Chain Resolution",
   "zh": "共指链解析",
   "level": "l3"
  },
  "CAP_6bdcbe40": {
   "en": "High-Confidence Coreference Output",
   "zh": "高置信度指代输出",
   "level": "l3"
  },
  "CAP_b6b93635": {
   "en": "Coreference Result Emission",
   "zh": "共指结果输出",
   "level": "l3"
  },
  "CAP_6c997e73": {
   "en": "Coreference Clustering via Antecedent Probabilities",
   "zh": "基于前指概率的共指聚类",
   "level": "l3"
  },
  "CAP_f430ef2a": {
   "en": "Cross-Modal Score Fusion",
   "zh": "跨模态得分融合",
   "level": "l3"
  },
  "CAP_bc885104": {
   "en": "Structured Coreference Output",
   "zh": "结构化共指输出",
   "level": "l3"
  },
  "CAP_492b7fc4": {
   "en": "Corrective Action Application",
   "zh": "纠正动作执行",
   "level": "l3"
  },
  "CAP_a063497b": {
   "en": "Task Re-execution",
   "zh": "任务重执行",
   "level": "l2"
  },
  "CAP_551ec47d": {
   "en": "Task Trajectory Re-execution",
   "zh": "任务轨迹重执行",
   "level": "l3"
  },
  "CAP_d8721a05": {
   "en": "Outcome Data Collection",
   "zh": "执行结果数据采集",
   "level": "l3"
  },
  "CAP_6aac278c": {
   "en": "Execution Outcome Evaluation",
   "zh": "执行结果评估",
   "level": "l2"
  },
  "CAP_b1733ef6": {
   "en": "Success Criteria Matching",
   "zh": "成功标准匹配",
   "level": "l3"
  },
  "CAP_3433345b": {
   "en": "Retry Decision Logic",
   "zh": "重试决策逻辑",
   "level": "l3"
  },
  "CAP_b15783f1": {
   "en": "State Observation & Comparison",
   "zh": "状态观测与比对",
   "level": "l2"
  },
  "CAP_979bbd7d": {
   "en": "Post-Correction State Stabilization",
   "zh": "纠正后状态稳定等待",
   "level": "l3"
  },
  "CAP_4d60e9a0": {
   "en": "Current State Sensing",
   "zh": "当前状态感知",
   "level": "l3"
  },
  "CAP_4e1f4549": {
   "en": "Expected State Retrieval",
   "zh": "期望状态加载",
   "level": "l3"
  },
  "CAP_cacd2f1c": {
   "en": "State Difference Computation",
   "zh": "状态差异计算",
   "level": "l3"
  },
  "CAP_2bb61487": {
   "en": "Tolerance-Based Decision",
   "zh": "容差判定",
   "level": "l3"
  },
  "CAP_1cf7b7b7": {
   "en": "Simulation Scene Loading",
   "zh": "仿真场景加载",
   "level": "l3"
  },
  "CAP_db512bd8": {
   "en": "Correction Deployment to Sim",
   "zh": "纠正策略仿真部署",
   "level": "l3"
  },
  "CAP_d6e59e82": {
   "en": "Simulated Rollout & Verification",
   "zh": "仿真回滚与验证",
   "level": "l2"
  },
  "CAP_1f8e385d": {
   "en": "Simulated Trajectory Rollout",
   "zh": "仿真轨迹回滚",
   "level": "l3"
  },
  "CAP_c68f86c6": {
   "en": "Simulation Outcome Evaluation",
   "zh": "仿真结果评估",
   "level": "l3"
  },
  "CAP_a90aa781": {
   "en": "Sim-to-Real Decision Gate",
   "zh": "虚实决策门控",
   "level": "l3"
  },
  "CAP_d1d55544": {
   "en": "State-Strategy Feature Extraction",
   "zh": "状态-策略特征提取",
   "level": "l3"
  },
  "CAP_6c9c2bc6": {
   "en": "Verifier Inference & Decision",
   "zh": "验证器推理与决策",
   "level": "l2"
  },
  "CAP_c43c8da3": {
   "en": "Verifier Model Forward Pass",
   "zh": "验证器模型推理",
   "level": "l3"
  },
  "CAP_173b0723": {
   "en": "Calibrated Threshold Decision",
   "zh": "校准阈值决策",
   "level": "l3"
  },
  "CAP_fdfe0b12": {
   "en": "Reflexion Strategy Selection",
   "zh": "反思策略选择",
   "level": "l3"
  },
  "CAP_3094a331": {
   "en": "Output Self-Evaluation",
   "zh": "输出自我评估",
   "level": "l3"
  },
  "CAP_a1110f30": {
   "en": "Verbal Reflection Generation",
   "zh": "语言反思生成",
   "level": "l3"
  },
  "CAP_43b543f1": {
   "en": "Strategy Regeneration from Reflection",
   "zh": "基于反思的策略重新生成",
   "level": "l3"
  },
  "CAP_a2b56595": {
   "en": "Tool-Interactive Correction",
   "zh": "工具交互纠正",
   "level": "l2"
  },
  "CAP_ba2b522d": {
   "en": "Tool Selection for Validation",
   "zh": "验证工具选择",
   "level": "l3"
  },
  "CAP_f0d4f298": {
   "en": "External Tool Validation",
   "zh": "外部工具验证",
   "level": "l3"
  },
  "CAP_2642001c": {
   "en": "Feedback Interpretation",
   "zh": "反馈解析",
   "level": "l3"
  },
  "CAP_f3513474": {
   "en": "Tool-Guided Strategy Revision",
   "zh": "工具引导策略修订",
   "level": "l3"
  },
  "CAP_54649cf1": {
   "en": "Embodied Robot Failure Correction",
   "zh": "具身机器人失败纠正",
   "level": "l2"
  },
  "CAP_a24b5157": {
   "en": "Multimodal Trajectory Capture",
   "zh": "多模态轨迹采集",
   "level": "l3"
  },
  "CAP_f5873a18": {
   "en": "Corrective Action Synthesis",
   "zh": "纠正动作合成",
   "level": "l3"
  },
  "CAP_6a86486c": {
   "en": "Physical Correction Execution",
   "zh": "物理纠正执行",
   "level": "l3"
  },
  "CAP_90e7000f": {
   "en": "Multi-Agent Debate Correction",
   "zh": "多智能体辩论纠正",
   "level": "l2"
  },
  "CAP_42d7de5a": {
   "en": "Independent Multi-Agent Generation",
   "zh": "多智能体独立生成",
   "level": "l3"
  },
  "CAP_178ce9a3": {
   "en": "Cross-Agent Review",
   "zh": "跨智能体交叉审阅",
   "level": "l3"
  },
  "CAP_3992601b": {
   "en": "Debate-Driven Update",
   "zh": "辩论驱动更新",
   "level": "l3"
  },
  "CAP_c5f90b2b": {
   "en": "Geometry-Guided Direct 6D Pose Regression",
   "zh": "几何引导直接6D位姿回归",
   "level": "l2"
  },
  "CAP_e13ae5e3": {
   "en": "Dense 2D-3D Correspondence Map Prediction",
   "zh": "稠密2D-3D对应图预测",
   "level": "l3"
  },
  "CAP_d3a5edb3": {
   "en": "Surface Region Attention Map Generation",
   "zh": "表面区域注意力图生成",
   "level": "l3"
  },
  "CAP_912bab99": {
   "en": "Patch-PnP Direct Pose Regression",
   "zh": "Patch-PnP直接位姿回归",
   "level": "l3"
  },
  "CAP_a9c90bd7": {
   "en": "Dynamic Zoom-In Data Augmentation",
   "zh": "动态缩放数据增强",
   "level": "l3"
  },
  "CAP_3b254cef": {
   "en": "Dense RGB-D Fusion and Confidence Voting",
   "zh": "稠密RGB-D融合与置信度投票",
   "level": "l2"
  },
  "CAP_0c4724a5": {
   "en": "Pixel-wise RGB and PointNet Feature Fusion",
   "zh": "逐像素RGB-PointNet特征融合",
   "level": "l3"
  },
  "CAP_84b68e25": {
   "en": "Confidence-Weighted Per-Pixel Pose Voting",
   "zh": "置信度加权逐像素位姿投票",
   "level": "l3"
  },
  "CAP_7bd73c84": {
   "en": "Iterative Pose Refinement Network",
   "zh": "迭代位姿精化网络",
   "level": "l3"
  },
  "CAP_49a951a8": {
   "en": "Foundation Model Zero-Shot 6D Pose Estimation",
   "zh": "基础模型零样本6D位姿估计",
   "level": "l2"
  },
  "CAP_d33ba2c0": {
   "en": "LLM-Assisted Texture Augmentation",
   "zh": "大语言模型辅助纹理增强",
   "level": "l3"
  },
  "CAP_1d3ce710": {
   "en": "Neural Implicit Object Modeling for Pose",
   "zh": "神经隐式物体建模",
   "level": "l3"
  },
  "CAP_88523389": {
   "en": "Hierarchical Pose Refinement with Transformer",
   "zh": "Transformer层次化位姿精化",
   "level": "l3"
  },
  "CAP_e121e5ba": {
   "en": "Contrastive Multi-Hypothesis Pose Scoring",
   "zh": "对比学习多位姿假设评分",
   "level": "l3"
  },
  "CAP_429e3d7f": {
   "en": "Icosahedron Rotation Initialization",
   "zh": "正二十面体旋转初始化",
   "level": "l3"
  },
  "CAP_aa01b117": {
   "en": "2D Object Detection for Pose Estimation",
   "zh": "面向位姿估计的2D目标检测",
   "level": "l3"
  },
  "CAP_6e3554c0": {
   "en": "RandomizedRoICropAugmentation",
   "zh": "随机RoI裁剪增强",
   "level": "l3"
  },
  "CAP_e14706ec": {
   "en": "Corridor Nav2 Navigation",
   "zh": "走廊Nav2导航",
   "level": "l2"
  },
  "CAP_82bba72a": {
   "en": "Global Path Planning on Costmap",
   "zh": "基于代价地图的全局路径规划",
   "level": "l3"
  },
  "CAP_07b0c4d8": {
   "en": "Collision Safety Monitor",
   "zh": "碰撞安全监控",
   "level": "l3"
  },
  "CAP_010d10aa": {
   "en": "Velocity Command Smoothing",
   "zh": "速度指令平滑",
   "level": "l3"
  },
  "CAP_99d267a0": {
   "en": "DRL Corridor Navigation",
   "zh": "深度强化学习走廊导航",
   "level": "l2"
  },
  "CAP_7d505f06": {
   "en": "TD3 Network Training",
   "zh": "TD3网络训练",
   "level": "l3"
  },
  "CAP_f0614ea0": {
   "en": "Laser Scan Preprocessing",
   "zh": "激光雷达数据预处理",
   "level": "l3"
  },
  "CAP_2d59e43c": {
   "en": "DRL Inference",
   "zh": "深度强化学习推理",
   "level": "l3"
  },
  "CAP_40a6d3ca": {
   "en": "Vision-Based Corridor Following",
   "zh": "视觉走廊跟随",
   "level": "l2"
  },
  "CAP_54a8c3c7": {
   "en": "Vanishing Point Detection",
   "zh": "消失点检测",
   "level": "l3"
  },
  "CAP_9c0200db": {
   "en": "Corridor Line Extraction",
   "zh": "走廊线提取",
   "level": "l3"
  },
  "CAP_7bef8875": {
   "en": "Corridor Centerline Estimation",
   "zh": "走廊中心线估计",
   "level": "l3"
  },
  "CAP_c6ecb2d1": {
   "en": "Static Map Layer Loading",
   "zh": "静态地图层加载",
   "level": "l3"
  },
  "CAP_6ef410ca": {
   "en": "2D Obstacle Detection Layer",
   "zh": "2D障碍物检测层",
   "level": "l3"
  },
  "CAP_d7a69388": {
   "en": "3D Voxel Observation Layer",
   "zh": "3D体素观测层",
   "level": "l3"
  },
  "CAP_500f64b5": {
   "en": "Range Sensor Layer",
   "zh": "距离传感器层",
   "level": "l3"
  },
  "CAP_78065e57": {
   "en": "Costmap Keepout Filter",
   "zh": "代价地图禁止区过滤",
   "level": "l3"
  },
  "CAP_c0c4c1a6": {
   "en": "Costmap Speed Filter",
   "zh": "代价地图限速区过滤",
   "level": "l3"
  },
  "CAP_275519ae": {
   "en": "Costmap Layer Plugin Composition",
   "zh": "自定义代价地图层开发",
   "level": "l3"
  },
  "CAP_15b014a5": {
   "en": "Costmap Denoise Filter",
   "zh": "代价地图去噪过滤",
   "level": "l3"
  },
  "CAP_6ddae8d1": {
   "en": "Robot Footprint Configuration",
   "zh": "机器人足迹配置",
   "level": "l3"
  },
  "CAP_1c3deb1d": {
   "en": "Costmap Layer Bounds Update",
   "zh": "代价地图层边界更新",
   "level": "l3"
  },
  "CAP_59c0bd40": {
   "en": "Costmap Layer Cost Write",
   "zh": "代价地图层代价写入",
   "level": "l3"
  },
  "CAP_fe5a9902": {
   "en": "Master Grid Combination",
   "zh": "主栅格合并",
   "level": "l3"
  },
  "CAP_57602b49": {
   "en": "Costmap Result Publication",
   "zh": "代价地图结果发布",
   "level": "l3"
  },
  "CAP_955a07f6": {
   "en": "2.5D Multi-Layer Grid Map Construction",
   "zh": "2.5D多层栅格地图构建",
   "level": "l2"
  },
  "CAP_9d797541": {
   "en": "Multi-Source PointCloud Synchronization",
   "zh": "多源点云同步",
   "level": "l3"
  },
  "CAP_a9ecc0f7": {
   "en": "Robot Pose with Covariance Estimation",
   "zh": "机器人位姿协方差估计",
   "level": "l3"
  },
  "CAP_48f677ff": {
   "en": "Sensor Noise Model Mapping",
   "zh": "传感器噪声模型映射",
   "level": "l3"
  },
  "CAP_4067a169": {
   "en": "PointCloud Transform & Projection",
   "zh": "点云变换与投影",
   "level": "l3"
  },
  "CAP_d8215df8": {
   "en": "Elevation Map Relocation",
   "zh": "高程地图重定位",
   "level": "l3"
  },
  "CAP_b71e2b5e": {
   "en": "Geometric Feature Layer Derivation",
   "zh": "几何特征层派生",
   "level": "l3"
  },
  "CAP_5c115a83": {
   "en": "Traversability Cost Estimation",
   "zh": "可通行性代价估计",
   "level": "l3"
  },
  "CAP_7e05af91": {
   "en": "Grid Map to Costmap Bridge",
   "zh": "栅格地图到代价地图桥接",
   "level": "l3"
  },
  "CAP_35a86f47": {
   "en": "Counterexample Minimization and Output",
   "zh": "反例精简与输出",
   "level": "l2"
  },
  "CAP_b7849744": {
   "en": "Concrete Counterexample Path Extraction",
   "zh": "具体反例路径解码",
   "level": "l3"
  },
  "CAP_a5a9607e": {
   "en": "Counterexample Trace Minimization",
   "zh": "反例轨迹最小化",
   "level": "l3"
  },
  "CAP_1a8f36aa": {
   "en": "Counterexample Trace Representation",
   "zh": "反例轨迹格式化输出",
   "level": "l3"
  },
  "CAP_12a1f090": {
   "en": "Counterexample Acquisition for CEGAR",
   "zh": "CEGAR 反例获取",
   "level": "l3"
  },
  "CAP_670ef41c": {
   "en": "Counterexample Feasibility and Refinement",
   "zh": "反例可行性与精化",
   "level": "l2"
  },
  "CAP_18cecf6e": {
   "en": "Spurious Counterexample Feasibility Checking",
   "zh": "伪反例可行性判定",
   "level": "l3"
  },
  "CAP_97a7945a": {
   "en": "Craig Interpolation-Based Refinement",
   "zh": "Craig 插值驱动精化",
   "level": "l3"
  },
  "CAP_d65ef08c": {
   "en": "Violation Witness Generation",
   "zh": "违例见证生成",
   "level": "l3"
  },
  "CAP_090beea5": {
   "en": "Violation Witness Validation",
   "zh": "违例见证独立验证",
   "level": "l3"
  },
  "CAP_2acfa865": {
   "en": "Counterexample Error Path Visualization",
   "zh": "反例错误路径可视化",
   "level": "l3"
  },
  "CAP_13482c09": {
   "en": "Counterexample Root Cause Localization",
   "zh": "反例根因定位",
   "level": "l3"
  },
  "CAP_11004afe": {
   "en": "Generate Counterfactual via Gradient Optimization",
   "zh": "梯度优化反事实生成",
   "level": "l2"
  },
  "CAP_5796bcc7": {
   "en": "Construct Wachter-DiCE Composite Loss",
   "zh": "构造Wachter-DiCE复合损失",
   "level": "l3"
  },
  "CAP_c791287c": {
   "en": "Gradient Descent Solve Counterfactual",
   "zh": "梯度下降求解反事实",
   "level": "l3"
  },
  "CAP_c4bcc198": {
   "en": "Generate Counterfactual on Data Manifold",
   "zh": "数据流形反事实生成",
   "level": "l2"
  },
  "CAP_f916b2ed": {
   "en": "Guide Counterfactual to Class Prototype",
   "zh": "类原型引导反事实",
   "level": "l3"
  },
  "CAP_a05f3b01": {
   "en": "Find Feasible Path Counterfactual",
   "zh": "可行路径反事实搜索",
   "level": "l3"
  },
  "CAP_437b8ee6": {
   "en": "Generate Counterfactual via Integer Programming",
   "zh": "整数规划反事实生成",
   "level": "l3"
  },
  "CAP_93b7040b": {
   "en": "Train Counterfactual RL Policy",
   "zh": "训练反事实RL策略",
   "level": "l3"
  },
  "CAP_aa01b126": {
   "en": "Constrain Counterfactual Feasibility",
   "zh": "施加反事实可行性约束",
   "level": "l3"
  },
  "CAP_08d11dfd": {
   "en": "Evaluate Counterfactual Quality",
   "zh": "评估反事实质量",
   "level": "l3"
  },
  "CAP_8201817e": {
   "en": "Off-Policy Evaluation",
   "zh": "离策略评估",
   "level": "l2"
  },
  "CAP_93397dd2": {
   "en": "Direct Method Estimation",
   "zh": "直接方法估计",
   "level": "l3"
  },
  "CAP_afa1b8e5": {
   "en": "Fitted Q Evaluation",
   "zh": "拟合 Q 评估",
   "level": "l3"
  },
  "CAP_963bb2f8": {
   "en": "Distributionally Robust OPE",
   "zh": "分布鲁棒离策略评估",
   "level": "l3"
  },
  "CAP_9619e632": {
   "en": "Counterfactual Regret Minimization",
   "zh": "反事实遗憾最小化",
   "level": "l2"
  },
  "CAP_b7909bc9": {
   "en": "Vanilla CFR Iteration",
   "zh": "原始 CFR 迭代",
   "level": "l3"
  },
  "CAP_6369e3e0": {
   "en": "CFR+ Iteration",
   "zh": "CFR+ 迭代",
   "level": "l3"
  },
  "CAP_b3647488": {
   "en": "Discounted CFR Iteration",
   "zh": "衰减 CFR 迭代",
   "level": "l3"
  },
  "CAP_8246fc6b": {
   "en": "Deep CFR",
   "zh": "深度 CFR",
   "level": "l3"
  },
  "CAP_a4219e00": {
   "en": "Exploitability Computation",
   "zh": "可利用度计算",
   "level": "l3"
  },
  "CAP_aa5537bd": {
   "en": "Behavior Policy Estimation",
   "zh": "行为策略估计",
   "level": "l3"
  },
  "CAP_fc9cf12c": {
   "en": "ValueAggregation",
   "zh": "价值聚合",
   "level": "l3"
  },
  "CAP_4be581b2": {
   "en": "Local-Factorized Counterfactual Data Augmentation",
   "zh": "局部因子化反事实数据增广",
   "level": "l2"
  },
  "CAP_0978db92": {
   "en": "Local Factorization Structure Discovery",
   "zh": "局部因子化结构发现",
   "level": "l3"
  },
  "CAP_beebb4cd": {
   "en": "Factor Grafting Counterfactual Generation",
   "zh": "因子嫁接反事实生成",
   "level": "l3"
  },
  "CAP_f095ab95": {
   "en": "Counterfactual Validity Check and Replay Augmentation",
   "zh": "反事实合法性检查与回放增广",
   "level": "l3"
  },
  "CAP_97a5325b": {
   "en": "MoCoDA Local Dynamics Counterfactual Generation",
   "zh": "MoCoDA 局部动力学反事实生成",
   "level": "l3"
  },
  "CAP_6ab9259f": {
   "en": "Load Simulation Model",
   "zh": "加载仿真模型",
   "level": "l3"
  },
  "CAP_34e7ff2e": {
   "en": "Configure Simulation Parameters",
   "zh": "配置仿真参数",
   "level": "l3"
  },
  "CAP_cbcac382": {
   "en": "Build Simulation World and Robot",
   "zh": "构建仿真世界与机器人",
   "level": "l3"
  },
  "CAP_ba06e862": {
   "en": "Recorded Trajectory Loading",
   "zh": "录制轨迹加载",
   "level": "l2"
  },
  "CAP_1b1863c3": {
   "en": "Read Recorded Trajectory File",
   "zh": "读取录制轨迹文件",
   "level": "l3"
  },
  "CAP_1b03d4d6": {
   "en": "Rebuild Initial Environment Configuration",
   "zh": "重建初始环境配置",
   "level": "l3"
  },
  "CAP_bb14c1a9": {
   "en": "Deserialize Initial State",
   "zh": "反序列化初始状态",
   "level": "l3"
  },
  "CAP_14dc11d0": {
   "en": "Counterfactual Decision Parameter Replacement",
   "zh": "反事实决策参数替换",
   "level": "l2"
  },
  "CAP_d558bfed": {
   "en": "Select Intervention Point",
   "zh": "选择干预点",
   "level": "l3"
  },
  "CAP_e18cf5c4": {
   "en": "Construct Counterfactual Intervention",
   "zh": "构造反事实干预",
   "level": "l3"
  },
  "CAP_8c581500": {
   "en": "Validate Intervention Legality",
   "zh": "校验干预合法性",
   "level": "l3"
  },
  "CAP_fb31825f": {
   "en": "Counterfactual Trajectory Replay",
   "zh": "反事实轨迹重放",
   "level": "l2"
  },
  "CAP_1a946c3a": {
   "en": "Replay Original Trajectory",
   "zh": "重放原轨迹",
   "level": "l3"
  },
  "CAP_6b1298ab": {
   "en": "Replay Counterfactual Trajectory",
   "zh": "重放反事实轨迹",
   "level": "l3"
  },
  "CAP_a7e52d0b": {
   "en": "Replay Divergence Detection",
   "zh": "重放发散检测",
   "level": "l3"
  },
  "CAP_5b136ea9": {
   "en": "Counterfactual Comparative Analysis",
   "zh": "反事实对比分析",
   "level": "l2"
  },
  "CAP_e54da653": {
   "en": "Compute Trajectory Deviation",
   "zh": "计算轨迹偏差",
   "level": "l3"
  },
  "CAP_d8cb497f": {
   "en": "Collision Contact Event Detection",
   "zh": "碰撞接触事件检测",
   "level": "l3"
  },
  "CAP_64d23f22": {
   "en": "Counterfactual Safety Boundary Evaluation",
   "zh": "反事实安全边界评估",
   "level": "l3"
  },
  "CAP_ff470107": {
   "en": "Generate Comparison Report",
   "zh": "生成对比报告",
   "level": "l3"
  },
  "CAP_9f70a1d4": {
   "en": "Simulation-Driven Counterfactual Replay",
   "zh": "仿真驱动的反事实回放",
   "level": "l2"
  },
  "CAP_d2b3a845": {
   "en": "Recorded Trajectory State Loading",
   "zh": "录制轨迹状态加载",
   "level": "l3"
  },
  "CAP_cbda9df5": {
   "en": "Counterfactual Trajectory Re-Simulation",
   "zh": "反事实轨迹重仿真",
   "level": "l3"
  },
  "CAP_d66096fe": {
   "en": "Counterfactual Trajectory Comparison Analysis",
   "zh": "反事实轨迹对比分析",
   "level": "l3"
  },
  "CAP_6dcd6627": {
   "en": "Simulation Environment Configuration",
   "zh": "仿真环境配置",
   "level": "l3"
  },
  "CAP_e943939f": {
   "en": "Off-Policy Data Preparation",
   "zh": "离线策略数据准备",
   "level": "l2"
  },
  "CAP_c02a494f": {
   "en": "Counterfactual Model Building",
   "zh": "反事实模型构建",
   "level": "l2"
  },
  "CAP_bd240dd9": {
   "en": "Counterfactual Estimation",
   "zh": "反事实估计",
   "level": "l2"
  },
  "CAP_3c02c646": {
   "en": "Decision Validation",
   "zh": "决策校验",
   "level": "l2"
  },
  "CAP_c63d509f": {
   "en": "Propensity Overlap and ESS Diagnostics",
   "zh": "倾向重叠与有效样本量诊断",
   "level": "l3"
  },
  "CAP_3d3af01f": {
   "en": "Evaluation Paradigm Selection",
   "zh": "评估范式选择",
   "level": "l3"
  },
  "CAP_a87de900": {
   "en": "VLA Model Evaluation",
   "zh": "VLA 模型评估",
   "level": "l3"
  },
  "CAP_c87fd62c": {
   "en": "Failure Counterfactual Diagnosis",
   "zh": "失败反事实诊断",
   "level": "l2"
  },
  "CAP_402fc375": {
   "en": "Robot Failure Classification",
   "zh": "机器人失败分类",
   "level": "l3"
  },
  "CAP_0174a708": {
   "en": "Unsafe Control Action Identification",
   "zh": "不安全控制动作识别",
   "level": "l3"
  },
  "CAP_e107dd37": {
   "en": "Counterfactual Trajectory Generation",
   "zh": "反事实轨迹生成",
   "level": "l3"
  },
  "CAP_1781becb": {
   "en": "Failure Correction Suggestion Generation",
   "zh": "失败纠正建议生成",
   "level": "l3"
  },
  "CAP_2a1b3c4d": {
   "en": "Decomposition-based Coverage Path Planning for Mapping",
   "zh": "分解式覆盖路径规划建图",
   "level": "l2"
  },
  "CAP_9d0e1f2a": {
   "en": "Coverage Gain Evaluation",
   "zh": "覆盖增益评估",
   "level": "l3"
  },
  "CAP_4f5a6b7c": {
   "en": "Exploration Termination Check",
   "zh": "探索终止判定",
   "level": "l3"
  },
  "CAP_39eacbd9": {
   "en": "ShortestPathPlanning",
   "zh": "最短路径规划",
   "level": "l3"
  },
  "CAP_becbf5a9": {
   "en": "Occupancy Grid Coverage Metrics",
   "zh": "占用网格覆盖度量",
   "level": "l2"
  },
  "CAP_c9310aa6": {
   "en": "Coverage Grid Marking",
   "zh": "覆盖网格标记",
   "level": "l3"
  },
  "CAP_d52df929": {
   "en": "Multi-Robot Coverage Merge",
   "zh": "多机器人覆盖合并",
   "level": "l3"
  },
  "CAP_024b2629": {
   "en": "Coverage Redundancy Metric",
   "zh": "覆盖冗余度度量",
   "level": "l3"
  },
  "CAP_db5564a9": {
   "en": "Coverage Uniformity Metric",
   "zh": "覆盖均匀度度量",
   "level": "l3"
  },
  "CAP_bbec672e": {
   "en": "Coverage Map Visualization",
   "zh": "覆盖地图可视化",
   "level": "l3"
  },
  "CAP_3adb18f9": {
   "en": "Information-Theoretic Coverage Metrics",
   "zh": "信息论覆盖度量",
   "level": "l2"
  },
  "CAP_ad7c4500": {
   "en": "Grid Entropy Computation",
   "zh": "网格熵计算",
   "level": "l3"
  },
  "CAP_fee89e76": {
   "en": "Mutual Information Analysis",
   "zh": "互信息分析",
   "level": "l3"
  },
  "CAP_a22a296e": {
   "en": "Entropy Reduction Tracking",
   "zh": "熵减追踪",
   "level": "l3"
  },
  "CAP_007945cd": {
   "en": "Task-Performance-Based Coverage Evaluation",
   "zh": "基于任务性能的覆盖评估",
   "level": "l2"
  },
  "CAP_45532e64": {
   "en": "Detection Rate Evaluation",
   "zh": "检测率评估",
   "level": "l3"
  },
  "CAP_0401d6fe": {
   "en": "Time-to-Completion Metric",
   "zh": "完成时间度量",
   "level": "l3"
  },
  "CAP_a6307463": {
   "en": "Miss Rate Analysis",
   "zh": "遗漏率分析",
   "level": "l3"
  },
  "CAP_e58a41b9": {
   "en": "Coverage-Performance Curve",
   "zh": "覆盖-性能曲线",
   "level": "l3"
  },
  "CAP_9b8c0cd8": {
   "en": "Ground Truth Annotation",
   "zh": "真值标注",
   "level": "l3"
  },
  "CAP_6c38db2c": {
   "en": "Perimeter Guarding System Design",
   "zh": "围栏防护系统设计",
   "level": "l2"
  },
  "CAP_e25626e9": {
   "en": "Hazard Zone Analysis",
   "zh": "危险区分析",
   "level": "l3"
  },
  "CAP_9adf3374": {
   "en": "Safety Distance Computation",
   "zh": "安全距离计算",
   "level": "l3"
  },
  "CAP_d7d2bae7": {
   "en": "Guarding Type Selection",
   "zh": "防护类型选择",
   "level": "l3"
  },
  "CAP_6a608e37": {
   "en": "Safety Circuit Design",
   "zh": "安全回路设计",
   "level": "l3"
  },
  "CAP_4286c641": {
   "en": "Safety Function Validation",
   "zh": "安全功能验证",
   "level": "l3"
  },
  "CAP_4cd98ecc": {
   "en": "On-Body Protective Cover Design",
   "zh": "本体防护罩设计",
   "level": "l2"
  },
  "CAP_26bcea19": {
   "en": "Cover Type Selection",
   "zh": "罩体类型选择",
   "level": "l3"
  },
  "CAP_3e66c6f7": {
   "en": "Cover Interference Analysis",
   "zh": "罩体干涉分析",
   "level": "l3"
  },
  "CAP_be0f2d2c": {
   "en": "IP Rating Design",
   "zh": "IP防护等级设计",
   "level": "l3"
  },
  "CAP_5c2ce8c6": {
   "en": "Cover Material Selection",
   "zh": "罩体材料选择",
   "level": "l3"
  },
  "CAP_57a8466d": {
   "en": "EMI/EMC Shielding Enclosure Design",
   "zh": "电磁兼容屏蔽壳体设计",
   "level": "l2"
  },
  "CAP_ac306c53": {
   "en": "EMI Source Analysis",
   "zh": "EMI源分析",
   "level": "l3"
  },
  "CAP_a391c270": {
   "en": "Shielding Material Selection",
   "zh": "屏蔽材料选择",
   "level": "l3"
  },
  "CAP_9cfaa4a1": {
   "en": "EMI Gasket Selection",
   "zh": "EMI衬垫选择",
   "level": "l3"
  },
  "CAP_8c30e04a": {
   "en": "EMC Grounding & Filtering",
   "zh": "EMC接地与滤波",
   "level": "l3"
  },
  "CAP_ddd5a633": {
   "en": "EmergencyStopSystemDesign",
   "zh": "急停系统设计",
   "level": "l3"
  },
  "CAP_d5a2b689": {
   "en": "Mechanical Integrity Inspection",
   "zh": "机械完整性检查",
   "level": "l3"
  },
  "CAP_34dfbe6c": {
   "en": "Compliance Documentation",
   "zh": "合规文件编制",
   "level": "l3"
  },
  "CAP_5af38b74": {
   "en": "StopTimeSafetyVerification",
   "zh": "停止时间安全验证",
   "level": "l3"
  },
  "CAP_c2f55cf8": {
   "en": "ORB-SLAM3 Atlas Multi-Map VIO-SLAM Pipeline",
   "zh": "ORB-SLAM3 共视图多地图 VIO-SLAM 流水线",
   "level": "l2"
  },
  "CAP_c65bf598": {
   "en": "ORB Feature Extraction",
   "zh": "ORB 特征提取与描述子",
   "level": "l3"
  },
  "CAP_69766cd3": {
   "en": "Covisibility Graph Construction",
   "zh": "共视图构建与维护",
   "level": "l3"
  },
  "CAP_dcc535c3": {
   "en": "Multi-View Map Point Triangulation",
   "zh": "多视图地图点三角化",
   "level": "l3"
  },
  "CAP_001e2b02": {
   "en": "Sim3 RANSAC Solver",
   "zh": "Sim3 相似变换 RANSAC 求解",
   "level": "l3"
  },
  "CAP_8e26a071": {
   "en": "Atlas Multi-Map Management",
   "zh": "Atlas 多地图生命周期管理",
   "level": "l3"
  },
  "CAP_86bd62f4": {
   "en": "Learned Feature Extraction",
   "zh": "学习化特征提取",
   "level": "l2"
  },
  "CAP_3ceba2dd": {
   "en": "Learned Matching",
   "zh": "学习化匹配与共视边构建",
   "level": "l2"
  },
  "CAP_f7efc852": {
   "en": "Geometric Verification and Triangulation",
   "zh": "几何验证与三角化",
   "level": "l2"
  },
  "CAP_ac575a04": {
   "en": "Localization and Mapping Output",
   "zh": "定位与建图输出",
   "level": "l2"
  },
  "CAP_290b9ce0": {
   "en": "Superpoint Generation and Superpoint Cross-Attention",
   "zh": "自监督关键点检测（SuperPoint）",
   "level": "l3"
  },
  "CAP_1a2b3c50": {
   "en": "Global Descriptor Retrieval",
   "zh": "全局描述子检索共视图像对",
   "level": "l3"
  },
  "CAP_cd9d527e": {
   "en": "Matcher Selection Strategy",
   "zh": "匹配器选择策略",
   "level": "l3"
  },
  "CAP_29b034af": {
   "en": "Keyframe Management via Covisibility",
   "zh": "由匹配构建共视边",
   "level": "l3"
  },
  "CAP_1d4a6ec0": {
   "en": "Geometric Verification with RANSAC",
   "zh": "几何验证（RANSAC F/E）",
   "level": "l3"
  },
  "CAP_0427f758": {
   "en": "COLMAP SIFT Feature Extraction",
   "zh": "SfM 三角化（COLMAP/pycolmap）",
   "level": "l3"
  },
  "CAP_b9acf173": {
   "en": "Covisibility Graph and Scene Graph Output",
   "zh": "共视图与场景图输出",
   "level": "l3"
  },
  "CAP_96c64cc1": {
   "en": "Collaborative Map Fusion",
   "zh": "协同地图融合（跨机器人）",
   "level": "l3"
  },
  "CAP_ebd75b84": {
   "en": "Rendezvous Detection",
   "zh": "相遇检测（跨机器人共视）",
   "level": "l3"
  },
  "CAP_3354d363": {
   "en": "Multi-Agent Value Decomposition",
   "zh": "多智能体价值分解",
   "level": "l2"
  },
  "CAP_bd18a62a": {
   "en": "IGM Consistency Verification",
   "zh": "IGM 一致性验证",
   "level": "l3"
  },
  "CAP_2f239b3c": {
   "en": "Agent Role Encoding",
   "zh": "智能体角色编码",
   "level": "l3"
  },
  "CAP_bdc1d865": {
   "en": "Counterfactual Policy Gradient",
   "zh": "反事实策略梯度",
   "level": "l2"
  },
  "CAP_3efd2e5f": {
   "en": "On-Policy Trajectory Collection",
   "zh": "On-Policy 轨迹采集",
   "level": "l3"
  },
  "CAP_ea309f3e": {
   "en": "Centralized Critic Evaluation",
   "zh": "集中式Critic评估",
   "level": "l3"
  },
  "CAP_95e8d2d5": {
   "en": "Counterfactual Baseline Computation",
   "zh": "反事实基线计算",
   "level": "l3"
  },
  "CAP_9947e669": {
   "en": "Multi-Agent Policy Gradient Update",
   "zh": "多智能体策略梯度更新",
   "level": "l3"
  },
  "CAP_521c83b7": {
   "en": "Agent Action One-Hot Encoding",
   "zh": "智能体动作 One-Hot 编码",
   "level": "l3"
  },
  "CAP_f5a87fa8": {
   "en": "Shapley Value Credit Assignment",
   "zh": "沙普利值信用分配",
   "level": "l2"
  },
  "CAP_ae1fa38e": {
   "en": "Grand Coalition Sampling",
   "zh": "大联盟采样与子联盟掩码",
   "level": "l3"
  },
  "CAP_86e0884a": {
   "en": "Coalition Value Evaluation",
   "zh": "联盟价值评估",
   "level": "l3"
  },
  "CAP_0908d066": {
   "en": "Marginal Contribution Computation",
   "zh": "边际贡献计算",
   "level": "l3"
  },
  "CAP_45acce94": {
   "en": "Shapley Value Aggregation",
   "zh": "沙普利值聚合",
   "level": "l3"
  },
  "CAP_9f65df77": {
   "en": "Credit TD Loss Update",
   "zh": "信用分配 TD 损失更新",
   "level": "l3"
  },
  "CAP_db9465e1": {
   "en": "Individual Reward Policy Update",
   "zh": "个体奖励策略更新",
   "level": "l3"
  },
  "CAP_a0d2fbe7": {
   "en": "Decentralized Credit Execution",
   "zh": "去中心化信用执行",
   "level": "l3"
  },
  "CAP_7f952276": {
   "en": "Geometric Static Gait Planning",
   "zh": "几何静态步态规划",
   "level": "l2"
  },
  "CAP_8d5c811d": {
   "en": "Gait Duty Factor Configuration",
   "zh": "步态占空比配置",
   "level": "l3"
  },
  "CAP_35ac389c": {
   "en": "Footstep Sequence Selection",
   "zh": "迈步顺序选择",
   "level": "l3"
  },
  "CAP_79ed89ee": {
   "en": "D-H Kinematic Modeling",
   "zh": "D-H 运动学建模",
   "level": "l3"
  },
  "CAP_530ba53b": {
   "en": "Support Polygon Computation",
   "zh": "支撑多边形计算",
   "level": "l3"
  },
  "CAP_433f46d2": {
   "en": "CoG Trajectory Planning",
   "zh": "重心轨迹规划",
   "level": "l3"
  },
  "CAP_b3dae2e7": {
   "en": "Joint Trajectory Computation",
   "zh": "关节轨迹计算",
   "level": "l3"
  },
  "CAP_e7562771": {
   "en": "Gait State Machine",
   "zh": "步态状态机",
   "level": "l3"
  },
  "CAP_72b0eb26": {
   "en": "Optimization-Based Static Gait Planning",
   "zh": "基于优化的静态步态规划",
   "level": "l2"
  },
  "CAP_909f0758": {
   "en": "Stability Constraint Modeling",
   "zh": "稳定性约束建模",
   "level": "l3"
  },
  "CAP_3752ba9b": {
   "en": "Workspace Constraint Modeling",
   "zh": "工作空间约束建模",
   "level": "l3"
  },
  "CAP_f7c103ad": {
   "en": "CoG QP Optimization",
   "zh": "重心二次规划优化",
   "level": "l3"
  },
  "CAP_e524c760": {
   "en": "CoG Shortest Path Optimization",
   "zh": "重心最短路径优化",
   "level": "l3"
  },
  "CAP_aac26789": {
   "en": "Joint Velocity Optimization",
   "zh": "关节速度优化",
   "level": "l3"
  },
  "CAP_7f7b090c": {
   "en": "Domain Shift Quantification",
   "zh": "域偏移量化",
   "level": "l3"
  },
  "CAP_7e19a0e0": {
   "en": "Pseudo-Label Refinement",
   "zh": "伪标签精炼",
   "level": "l3"
  },
  "CAP_01db466c": {
   "en": "Cross-Cultural Fairness Evaluation",
   "zh": "跨文化公平性评估",
   "level": "l3"
  },
  "CAP_18b5abd6": {
   "en": "Domain-Aware Data Split",
   "zh": "域感知数据划分",
   "level": "l3"
  },
  "CAP_8df14dde": {
   "en": "Distributionally Robust Optimization",
   "zh": "分布鲁棒优化",
   "level": "l3"
  },
  "CAP_6812000a": {
   "en": "Culture-Agnostic Model Deployment",
   "zh": "文化无关模型部署",
   "level": "l3"
  },
  "CAP_ec1c8caf": {
   "en": "Cultural Distribution Auditing",
   "zh": "文化分布审计",
   "level": "l3"
  },
  "CAP_a9bc2cf8": {
   "en": "Culture-Aware Feature Extraction",
   "zh": "文化感知特征提取",
   "level": "l2"
  },
  "CAP_a89019e1": {
   "en": "Joint Emotion-Culture Training",
   "zh": "联合情感-文化训练",
   "level": "l3"
  },
  "CAP_38af0972": {
   "en": "Adversarial Cultural Debiasing",
   "zh": "对抗文化去偏",
   "level": "l3"
  },
  "CAP_ef163ef5": {
   "en": "Culture-Contextualized Inference",
   "zh": "文化上下文推理",
   "level": "l3"
  },
  "CAP_22d360d2": {
   "en": "Cross-Dataset Data Standardization",
   "zh": "跨数据集数据标准化",
   "level": "l2"
  },
  "CAP_88643405": {
   "en": "Source Dataset Inventory Collection",
   "zh": "源数据集清单收集",
   "level": "l3"
  },
  "CAP_84901aa1": {
   "en": "Raw Data Schema Analysis",
   "zh": "原始数据模式分析",
   "level": "l3"
  },
  "CAP_83d2ac3b": {
   "en": "Dataset Suitability Filtering",
   "zh": "数据集适用性筛选",
   "level": "l3"
  },
  "CAP_b927a96e": {
   "en": "OXE Episode Building",
   "zh": "OXE Episode构建",
   "level": "l3"
  },
  "CAP_11766a46": {
   "en": "Robot Observation Normalization",
   "zh": "机器人观测归一化",
   "level": "l3"
  },
  "CAP_c53898f8": {
   "en": "Action Space Unification",
   "zh": "动作空间统一",
   "level": "l3"
  },
  "CAP_8fcfd971": {
   "en": "RLDS Serialization",
   "zh": "RLDS序列化",
   "level": "l3"
  },
  "CAP_ab5b588396": {
   "en": "Dataset Mixture Configuration",
   "zh": "数据集混合配置",
   "level": "l3"
  },
  "CAP_03e95168": {
   "en": "Cross-Dataset DataLoader",
   "zh": "跨数据集DataLoader",
   "level": "l3"
  },
  "CAP_54d6719f": {
   "en": "Model Training with Dataset Mixture",
   "zh": "混合数据集模型训练",
   "level": "l3"
  },
  "CAP_75702e0b": {
   "en": "Multi-Robot Benchmark Setup",
   "zh": "多机器人基准测试设置",
   "level": "l3"
  },
  "CAP_e6c26dde": {
   "en": "Cross-Embodiment Transfer Analysis",
   "zh": "跨具身迁移分析",
   "level": "l3"
  },
  "CAP_5ab7b310": {
   "en": "Data Collection and Preprocessing",
   "zh": "数据采集与预处理",
   "level": "l2"
  },
  "CAP_4d317524": {
   "en": "Data Standardization and Serialization",
   "zh": "数据标准化与序列化",
   "level": "l2"
  },
  "CAP_5f0d8367": {
   "en": "Multi-Dataset Joint Training",
   "zh": "多数据集联合训练",
   "level": "l2"
  },
  "CAP_09ba231f": {
   "en": "VLA Pretraining Pipeline",
   "zh": "VLA 预训练管线",
   "level": "l2"
  },
  "CAP_97d574e6": {
   "en": "Multi-Source Data Aggregation",
   "zh": "多源数据聚合",
   "level": "l3"
  },
  "CAP_6c10e366": {
   "en": "VLM Backbone Adaptation",
   "zh": "VLM 骨干适配",
   "level": "l3"
  },
  "CAP_52732949": {
   "en": "Cross-Embodiment Representation Learning",
   "zh": "跨具身表示学习",
   "level": "l3"
  },
  "CAP_f70bfbd406": {
   "en": "Observation Encoder Fine-Tuning",
   "zh": "观测编码器微调",
   "level": "l3"
  },
  "CAP_5ce054eb": {
   "en": "Action Head Adaptation",
   "zh": "动作头适配",
   "level": "l3"
  },
  "CAP_2fdbfb45": {
   "en": "VLM Feature Extraction",
   "zh": "VLM特征提取",
   "level": "l3"
  },
  "CAP_60e94f8e": {
   "en": "Parameter-Efficient Fine-Tuning",
   "zh": "参数高效微调",
   "level": "l3"
  },
  "CAP_220fcc25": {
   "en": "Zero-Shot Robot Evaluation",
   "zh": "零样本机器人评估",
   "level": "l3"
  },
  "CAP_a9cf73d8": {
   "en": "VLA Backbone Selection",
   "zh": "VLA骨干选择",
   "level": "l3"
  },
  "CAP_49fc014c": {
   "en": "Scaling Law Optimization Pipeline",
   "zh": "扩展定律优化管线",
   "level": "l2"
  },
  "CAP_d0d00a16": {
   "en": "Multi-Robot Data Collection",
   "zh": "多机器人数据收集",
   "level": "l3"
  },
  "CAP_f0501d9f": {
   "en": "Task Diversity Planning",
   "zh": "任务多样性规划",
   "level": "l3"
  },
  "CAP_49080ad8": {
   "en": "Data Collection Budget Allocation",
   "zh": "数据收集预算分配",
   "level": "l3"
  },
  "CAP_2f0ef86b": {
   "en": "Scaling Law Fitting",
   "zh": "扩展定律拟合",
   "level": "l3"
  },
  "CAP_cc11f687": {
   "en": "Dataset Contribution Analysis",
   "zh": "数据集贡献分析",
   "level": "l3"
  },
  "CAP_8c32597c": {
   "en": "Optimal Mixture Weight Solver",
   "zh": "最优混合权重求解器",
   "level": "l3"
  },
  "CAP_c9bafdc1": {
   "en": "Data Quality Filtering",
   "zh": "数据质量筛选",
   "level": "l3"
  },
  "CAP_16020780": {
   "en": "Dynamic Mixture Weight Adjustment",
   "zh": "动态混合权重调整",
   "level": "l3"
  },
  "CAP_ac85ead7": {
   "en": "Scaling Law Extrapolation",
   "zh": "扩展定律外推",
   "level": "l3"
  },
  "CAP_b3390eff": {
   "en": "PDDL Domain File Writing",
   "zh": "PDDL 域文件编写",
   "level": "l3"
  },
  "CAP_bf5e7901": {
   "en": "Stream Specification",
   "zh": "Stream 声明",
   "level": "l3"
  },
  "CAP_ddbee18b": {
   "en": "Conditional Generator Implementation",
   "zh": "条件生成器实现",
   "level": "l3"
  },
  "CAP_a1e4a0d8": {
   "en": "Initial State Definition",
   "zh": "初始状态定义",
   "level": "l3"
  },
  "CAP_8d4c27f2": {
   "en": "Goal State Definition",
   "zh": "目标状态定义",
   "level": "l3"
  },
  "CAP_40e34cab": {
   "en": "PDDL Heuristic Search Planning",
   "zh": "PDDL 启发式搜索规划",
   "level": "l3"
  },
  "CAP_d2c6c8fe": {
   "en": "Stream-based Sampling",
   "zh": "Stream 采样",
   "level": "l3"
  },
  "CAP_97df9bba": {
   "en": "Adaptive TAMP Planning",
   "zh": "自适应 TAMP 规划",
   "level": "l3"
  },
  "CAP_06b9cf53": {
   "en": "LLM Skill Library",
   "zh": "LLM 技能库",
   "level": "l2"
  },
  "CAP_6f96e7e5": {
   "en": "LLM Prompt Engineering",
   "zh": "LLM 提示工程",
   "level": "l3"
  },
  "CAP_92f7d5c0": {
   "en": "Behavior Tree Design",
   "zh": "行为树设计",
   "level": "l2"
  },
  "CAP_3115fc88": {
   "en": "BT Node Implementation",
   "zh": "行为树节点实现",
   "level": "l3"
  },
  "CAP_145a95eb": {
   "en": "BT XML Tree Definition",
   "zh": "行为树 XML 定义",
   "level": "l3"
  },
  "CAP_8ce967a4": {
   "en": "BT Cross-domain Subtree",
   "zh": "行为树跨域子树",
   "level": "l3"
  },
  "CAP_a5376ee9": {
   "en": "BT Asynchronous Execution",
   "zh": "行为树异步执行",
   "level": "l3"
  },
  "CAP_602919f1": {
   "en": "BT Blackboard Dataflow",
   "zh": "行为树黑板数据流",
   "level": "l3"
  },
  "CAP_e7f2069d": {
   "en": "BT Parallel Execution",
   "zh": "行为树并发执行",
   "level": "l3"
  },
  "CAP_31605295": {
   "en": "Skill Library Construction",
   "zh": "技能库构建",
   "level": "l2"
  },
  "CAP_016dee4a": {
   "en": "Meta-skill Extraction",
   "zh": "元技能提取",
   "level": "l3"
  },
  "CAP_400004d0": {
   "en": "Skill Data Annotation",
   "zh": "技能数据标注",
   "level": "l3"
  },
  "CAP_e21c7b0d": {
   "en": "VLA Skill Execution",
   "zh": "VLA 技能执行",
   "level": "l3"
  },
  "CAP_3a36ff1a": {
   "en": "Skill Iterative Refinement",
   "zh": "技能迭代优化",
   "level": "l3"
  },
  "CAP_c7045e18": {
   "en": "Execution Checker",
   "zh": "执行检查器",
   "level": "l3"
  },
  "CAP_0282b8da": {
   "en": "Cross-Embodiment Policy Pretraining Transfer",
   "zh": "跨本体策略预训练迁移",
   "level": "l3"
  },
  "CAP_d2bf0b10": {
   "en": "Cross-Embodiment Observation Normalization",
   "zh": "跨具身观测归一化",
   "level": "l3"
  },
  "CAP_1c3f1e33": {
   "en": "Language Instruction Encoding",
   "zh": "语言指令编码",
   "level": "l3"
  },
  "CAP_7458ea0e": {
   "en": "Raw Data Field Mapping",
   "zh": "原始数据字段映射",
   "level": "l3"
  },
  "CAP_8e22fa3f": {
   "en": "Unified Collection Platform",
   "zh": "统一采集平台搭建",
   "level": "l2"
  },
  "CAP_0b636f65": {
   "en": "Robotic Data Annotation",
   "zh": "机器人数据质检与标注",
   "level": "l2"
  },
  "CAP_49bf948d": {
   "en": "Multi-Embodiment Benchmarking",
   "zh": "多具身基准评测",
   "level": "l3"
  },
  "CAP_ed7a6055": {
   "en": "Multi-Camera Setup",
   "zh": "多视角相机配置",
   "level": "l3"
  },
  "CAP_ba91c726": {
   "en": "Unified Data Protocol",
   "zh": "统一数据协议定义",
   "level": "l3"
  },
  "CAP_09ff4faa": {
   "en": "Human Teleoperation Interface",
   "zh": "人类遥操作界面",
   "level": "l3"
  },
  "CAP_255e449a": {
   "en": "Failure Data Annotation",
   "zh": "失败数据标注",
   "level": "l3"
  },
  "CAP_c9a54fe3": {
   "en": "Language Instruction Annotation",
   "zh": "语言指令标注",
   "level": "l3"
  },
  "CAP_39126065": {
   "en": "3D Digital Twin Scene Construction",
   "zh": "3D数字孪生场景构建",
   "level": "l3"
  },
  "CAP_ece7412e": {
   "en": "LeRobot Format Adapter",
   "zh": "LeRobotDataset 格式适配器",
   "level": "l3"
  },
  "CAP_472959de": {
   "en": "Dataset Format Standard",
   "zh": "数据集格式标准制定",
   "level": "l2"
  },
  "CAP_a0b303ca": {
   "en": "Feature Schema Definition",
   "zh": "特征 Schema 定义",
   "level": "l3"
  },
  "CAP_1d5ab801": {
   "en": "Parquet Tabular Storage",
   "zh": "Parquet 表格存储",
   "level": "l3"
  },
  "CAP_1f35b296": {
   "en": "MP4 Video Storage",
   "zh": "MP4 视频存储",
   "level": "l3"
  },
  "CAP_f1eacaf7": {
   "en": "Data Collection SDK",
   "zh": "数据采集 SDK",
   "level": "l3"
  },
  "CAP_c1982146": {
   "en": "Dataset Loading Pipeline",
   "zh": "数据集加载管线",
   "level": "l2"
  },
  "CAP_49dcc320": {
   "en": "Streaming Data Loader",
   "zh": "流式数据加载器",
   "level": "l3"
  },
  "CAP_77b00b28": {
   "en": "Timeseries Window Loading",
   "zh": "时序窗口加载",
   "level": "l3"
  },
  "CAP_e3d214d5": {
   "en": "Image Transforms",
   "zh": "图像增强",
   "level": "l3"
  },
  "CAP_33ddfafc": {
   "en": "Memory Mapped Loading",
   "zh": "内存映射加载",
   "level": "l3"
  },
  "CAP_f2a6227b": {
   "en": "Cross-Format Conversion",
   "zh": "跨格式转换",
   "level": "l2"
  },
  "CAP_b5ff55a3": {
   "en": "Keypoint-Mediated Cross-Embodiment Transfer",
   "zh": "基于关键点的跨具身迁移",
   "level": "l2"
  },
  "CAP_9a91721f": {
   "en": "Hand Landmark Detection",
   "zh": "手部关键点检测",
   "level": "l3"
  },
  "CAP_49b50a2b": {
   "en": "Single-Hand MANO Regression",
   "zh": "单手 MANO 参数回归",
   "level": "l3"
  },
  "CAP_e523ef73": {
   "en": "Dexterous Hand Forward Kinematics",
   "zh": "灵巧手正运动学",
   "level": "l3"
  },
  "CAP_c6bebc6f": {
   "en": "Demonstration Trajectory Construction",
   "zh": "演示轨迹构建",
   "level": "l3"
  },
  "CAP_023e9d89": {
   "en": "Cross-Embodiment Data Mixture Training",
   "zh": "跨本体数据混合训练",
   "level": "l3"
  },
  "CAP_ea254208": {
   "en": "Shared Encoder Weight Cross-Embodiment Alignment",
   "zh": "共享编码器权重跨本体对齐",
   "level": "l3"
  },
  "CAP_6ac87d66": {
   "en": "Task Token Language Image Injection",
   "zh": "task token 语言图像注入",
   "level": "l3"
  },
  "CAP_aaa876ba": {
   "en": "Generative Cross-Embodiment Trajectory Translation",
   "zh": "生成式跨具身轨迹翻译",
   "level": "l2"
  },
  "CAP_b768aa72": {
   "en": "Point Cloud Formatting",
   "zh": "点云格式化",
   "level": "l3"
  },
  "CAP_0c8a70ae": {
   "en": "Relative Trajectory Representation",
   "zh": "相对轨迹表示与延迟匹配",
   "level": "l3"
  },
  "CAP_b5c1cd06": {
   "en": "Cross-Embodiment Demo Capture",
   "zh": "跨具身演示采集",
   "level": "l3"
  },
  "CAP_013aed91": {
   "en": "Asynchronous Cascaded Flow Matching",
   "zh": "异步级联流匹配",
   "level": "l3"
  },
  "CAP_301e2c5c": {
   "en": "Cross-Embodiment Data Augmentation",
   "zh": "跨具身数据增强",
   "level": "l2"
  },
  "CAP_ce8d2d7f": {
   "en": "Robot Segmentation via SAM",
   "zh": "基于SAM的机器人分割",
   "level": "l3"
  },
  "CAP_51fdce0c": {
   "en": "Robot-to-Robot Image Generation",
   "zh": "机器人到机器人图像生成",
   "level": "l3"
  },
  "CAP_ebce18f4": {
   "en": "Video Inpainting for Background",
   "zh": "视频背景修复",
   "level": "l3"
  },
  "CAP_4bc257e9": {
   "en": "Novel View Synthesis via ZeroNVS",
   "zh": "基于ZeroNVS的新视角合成",
   "level": "l3"
  },
  "CAP_a6a25f93": {
   "en": "Action Space Alignment",
   "zh": "动作空间对齐",
   "level": "l3"
  },
  "CAP_a02c09cf": {
   "en": "Brightness Randomization",
   "zh": "亮度随机化",
   "level": "l3"
  },
  "CAP_0c35cc4d": {
   "en": "Embodiment-Aware Architecture Design",
   "zh": "具身感知架构设计",
   "level": "l2"
  },
  "CAP_8f20ad76": {
   "en": "Cross-Embodiment Architecture Adaptation",
   "zh": "跨具身架构适配",
   "level": "l3"
  },
  "CAP_153c2ec3": {
   "en": "Robot Body Graph Construction",
   "zh": "机器人身体图构建",
   "level": "l3"
  },
  "CAP_bd673a06": {
   "en": "Masked Attention Encoder",
   "zh": "掩码注意力编码器",
   "level": "l3"
  },
  "CAP_4699482f": {
   "en": "Node-Specific Tokenization and Detokenization",
   "zh": "节点特定投影",
   "level": "l3"
  },
  "CAP_59e48ed8": {
   "en": "Embodiment Adapter Fine-Tuning",
   "zh": "具身适配器微调",
   "level": "l2"
  },
  "CAP_bed51650": {
   "en": "Multi-Embodiment Data Standardization",
   "zh": "多具身数据标准化",
   "level": "l3"
  },
  "CAP_cd6f1869": {
   "en": "Vision-Language-Action Model Training",
   "zh": "视觉-语言-动作模型训练",
   "level": "l3"
  },
  "CAP_e61d7cbf": {
   "en": "Observation Input Adapter",
   "zh": "观测输入适配器",
   "level": "l3"
  },
  "CAP_9c0c5123": {
   "en": "Action Output Adapter",
   "zh": "动作输出适配器",
   "level": "l3"
  },
  "CAP_7bdffe92": {
   "en": "Few-Shot Policy Fine-Tuning",
   "zh": "少样本策略微调",
   "level": "l3"
  },
  "CAP_ee461605": {
   "en": "Simulated Robot Image Generation",
   "zh": "仿真机器人图像生成",
   "level": "l3"
  },
  "CAP_8a180224": {
   "en": "Cross-Embodiment Generative Data Augmentation",
   "zh": "跨具身生成式数据增强",
   "level": "l2"
  },
  "CAP_b493741c": {
   "en": "Viewpoint Augmentation for Policy Robustness",
   "zh": "策略视角鲁棒性增强",
   "level": "l3"
  },
  "CAP_bd1c5f79": {
   "en": "Body Graph Construction and Masking",
   "zh": "本体图构建与掩码生成",
   "level": "l3"
  },
  "CAP_9d8e5588": {
   "en": "Body-Conditioned Policy Training",
   "zh": "具身感知策略训练",
   "level": "l3"
  },
  "CAP_e59c6a20": {
   "en": "Multi-Embodiment Observation Normalization",
   "zh": "多具身观测标准化",
   "level": "l3"
  },
  "CAP_77fdb7b3": {
   "en": "Shared Transformer Policy Backbone",
   "zh": "共享Transformer策略骨干",
   "level": "l3"
  },
  "CAP_828eafc2": {
   "en": "Embodiment-Specific Policy Adaptation",
   "zh": "具身特定策略适配",
   "level": "l3"
  },
  "CAP_b316ba7b": {
   "en": "Human-Centric Cross-Embodiment Pretraining",
   "zh": "人类中心跨具身预训练",
   "level": "l3"
  },
  "CAP_70ef9f36": {
   "en": "Unified Semantic Action Alignment",
   "zh": "统一语义动作对齐",
   "level": "l3"
  },
  "CAP_57bd6d9a": {
   "en": "Mixture-of-Flow Embodiment Decoupling",
   "zh": "混合流具身解耦",
   "level": "l2"
  },
  "CAP_e09cced3": {
   "en": "Manifold-Preserving Deployment Gating",
   "zh": "流形保持部署门控",
   "level": "l3"
  },
  "CAP_2ff25af8": {
   "en": "Universal Asynchronous Chunking Control",
   "zh": "通用异步分块控制",
   "level": "l3"
  },
  "CAP_b82cb61c": {
   "en": "PDDL Problem Encoding and Stream Declaration",
   "zh": "PDDL问题编码与流声明",
   "level": "l3"
  },
  "CAP_87165cb4": {
   "en": "Symbolic Task Skeleton Search",
   "zh": "符号任务骨架搜索",
   "level": "l3"
  },
  "CAP_c49e377d": {
   "en": "Stream Sampling for Constraint Solving",
   "zh": "流采样约束求解",
   "level": "l3"
  },
  "CAP_4684484f": {
   "en": "Fact-Level Certification and Causal Chain Verification",
   "zh": "事实级认证与因果链核验",
   "level": "l3"
  },
  "CAP_569b63f7": {
   "en": "Infeasibility Feedback and Incremental Replanning",
   "zh": "不可行反馈与增量重规划",
   "level": "l3"
  },
  "CAP_c89e6427": {
   "en": "HTN Method Decomposition Constraint Propagation",
   "zh": "HTN方法分解约束传播",
   "level": "l2"
  },
  "CAP_23aeb0b5": {
   "en": "HTN Task Network Encoding",
   "zh": "HTN任务网络编码",
   "level": "l3"
  },
  "CAP_6e2900ca": {
   "en": "HTN Method Selection and Decomposition",
   "zh": "HTN方法选择与分解",
   "level": "l3"
  },
  "CAP_c7efa2f3": {
   "en": "HTN Ordered Task Processing",
   "zh": "HTN有序任务处理",
   "level": "l3"
  },
  "CAP_69221fa4": {
   "en": "HTN Precondition Constraint Propagation",
   "zh": "HTN前提约束传播",
   "level": "l3"
  },
  "CAP_a40bc0aa": {
   "en": "HTN Backtracking and Alternative Selection",
   "zh": "HTN回溯与备选分支",
   "level": "l3"
  },
  "CAP_6def9643": {
   "en": "LLM Hierarchical Program Constraint Propagation",
   "zh": "LLM层次化程序约束传播",
   "level": "l2"
  },
  "CAP_16e4c4be": {
   "en": "High-Level Instruction Parsing",
   "zh": "高层指令解析",
   "level": "l3"
  },
  "CAP_8c3c75b8": {
   "en": "Hierarchical Prompt Composition",
   "zh": "分层提示组装",
   "level": "l3"
  },
  "CAP_f834e6fe": {
   "en": "Language Grounding to Perception",
   "zh": "语言指代-感知绑定",
   "level": "l3"
  },
  "CAP_088f5e66": {
   "en": "Policy Code Execution",
   "zh": "策略代码执行",
   "level": "l3"
  },
  "CAP_69bbd60a": {
   "en": "Execution Feedback and Repair",
   "zh": "执行反馈与修复",
   "level": "l3"
  },
  "CAP_ab14ef1a": {
   "en": "Multi-Platform Generalization",
   "zh": "多平台泛化验证",
   "level": "l3"
  },
  "CAP_7dc92771": {
   "en": "HRL Options/Subgoal Constraint Propagation",
   "zh": "HRL选项/子目标约束传播",
   "level": "l2"
  },
  "CAP_92f17659": {
   "en": "Dual Policy Architecture",
   "zh": "双层策略架构",
   "level": "l3"
  },
  "CAP_aa82bb54": {
   "en": "Goal-Conditioned Low Policy",
   "zh": "目标条件低层策略",
   "level": "l3"
  },
  "CAP_ed192318": {
   "en": "High-Level Policy Training",
   "zh": "高层策略训练",
   "level": "l3"
  },
  "CAP_6c6efa67": {
   "en": "Evaluation and Transfer",
   "zh": "评估与迁移",
   "level": "l3"
  },
  "CAP_0be7ff9a": {
   "en": "Memory Query and Retrieval",
   "zh": "记忆查询与检索",
   "level": "l2"
  },
  "CAP_5b94bebd": {
   "en": "Memory Integration and Maintenance",
   "zh": "记忆整合与维护",
   "level": "l2"
  },
  "CAP_e5e39ecb": {
   "en": "Multi-Store Memory Ingestion",
   "zh": "多存储记忆写入",
   "level": "l3"
  },
  "CAP_69b28a00": {
   "en": "Query Intent Classification for Memory",
   "zh": "记忆查询意图分类",
   "level": "l3"
  },
  "CAP_598d5115": {
   "en": "Hybrid Retrieval Execution",
   "zh": "混合检索执行",
   "level": "l3"
  },
  "CAP_e976accf": {
   "en": "Retrieval Result Reranking",
   "zh": "检索结果重排",
   "level": "l3"
  },
  "CAP_cbd981f0": {
   "en": "Context Integration and Token Budget Control",
   "zh": "上下文注入与Token预算控制",
   "level": "l3"
  },
  "CAP_4b38c45b": {
   "en": "Async Memory Consolidation",
   "zh": "异步记忆整合",
   "level": "l3"
  },
  "CAP_b826da85": {
   "en": "Graph-Based Associative Retrieval",
   "zh": "图关联检索",
   "level": "l2"
  },
  "CAP_6cc1965c": {
   "en": "Spreading Activation Retrieval",
   "zh": "传播激活检索",
   "level": "l3"
  },
  "CAP_dd429777": {
   "en": "Active Reconstruction for Memory Retrieval",
   "zh": "主动重建记忆检索",
   "level": "l3"
  },
  "CAP_9c4a3d76": {
   "en": "Triple Hybrid Retrieval Fusion",
   "zh": "三路混合检索融合",
   "level": "l3"
  },
  "CAP_07c6d0d5": {
   "en": "Memory Reconstruction and Context Integration",
   "zh": "记忆重建与上下文注入",
   "level": "l3"
  },
  "CAP_bce6e94c": {
   "en": "Memory Graph Evolution and Maintenance",
   "zh": "记忆图演化与维护",
   "level": "l3"
  },
  "CAP_4eaf7295": {
   "en": "Cross-Agent Write and Retrieval",
   "zh": "跨Agent写入与检索",
   "level": "l2"
  },
  "CAP_a79faaab": {
   "en": "Conflict Detection and Memory Governance",
   "zh": "冲突检测与记忆治理",
   "level": "l2"
  },
  "CAP_6b5f2f9f": {
   "en": "Shared Memory Layer Initialization",
   "zh": "共享记忆层初始化",
   "level": "l3"
  },
  "CAP_13d38fd8": {
   "en": "Cross-Agent Memory Ingestion",
   "zh": "跨Agent记忆写入",
   "level": "l3"
  },
  "CAP_c5f79d6d": {
   "en": "Cross-Agent Memory Retrieval",
   "zh": "跨Agent记忆检索",
   "level": "l3"
  },
  "CAP_911a750d": {
   "en": "Memory Conflict Detection and Resolution",
   "zh": "记忆冲突检测与解决",
   "level": "l3"
  },
  "CAP_f4e9a6b7": {
   "en": "Cross-Agent Memory Distillation",
   "zh": "跨Agent记忆蒸馏",
   "level": "l3"
  },
  "CAP_9db10cc1": {
   "en": "Shared Memory Lifecycle Governance",
   "zh": "共享记忆生命周期治理",
   "level": "l3"
  },
  "CAP_fa010bb8": {
   "en": "Frozen Visual Feature Extraction",
   "zh": "冻结视觉特征提取",
   "level": "l3"
  },
  "CAP_64a9729a": {
   "en": "Gated Cross-Attention Injection",
   "zh": "门控交叉注意力注入",
   "level": "l2"
  },
  "CAP_1b7fbf81": {
   "en": "Tanh Gating Control",
   "zh": "Tanh 门控控制",
   "level": "l3"
  },
  "CAP_b640e08f": {
   "en": "Causal Visual Masking",
   "zh": "因果视觉掩码",
   "level": "l3"
  },
  "CAP_0400440a": {
   "en": "Early Fusion Cross-Attention Detection",
   "zh": "早期融合跨模态注意力检测",
   "level": "l2"
  },
  "CAP_98f5ba3d": {
   "en": "Cross Modal Vision Language Fusion",
   "zh": "跨模态视觉语言融合",
   "level": "l3"
  },
  "CAP_cf2751f8": {
   "en": "Language-Guided Query Selection",
   "zh": "语言引导查询选择",
   "level": "l3"
  },
  "CAP_b6cfdcf1": {
   "en": "Cross-Modality Decoder",
   "zh": "跨模态解码器",
   "level": "l3"
  },
  "CAP_2bd40414": {
   "en": "Token-Level Cross-Modal Exchange",
   "zh": "Token 级跨模态交换",
   "level": "l2"
  },
  "CAP_41a9edc1": {
   "en": "Homogeneous Prediction",
   "zh": "同质化预测",
   "level": "l3"
  },
  "CAP_c3492447": {
   "en": "Cross-Modal Token Swap",
   "zh": "跨模态 Token 交换",
   "level": "l3"
  },
  "CAP_0499ccd3": {
   "en": "Residual Positional Alignment",
   "zh": "残差位置对齐",
   "level": "l3"
  },
  "CAP_57dcc597": {
   "en": "Bottleneck-Mediated Cross-Modal Attention",
   "zh": "瓶颈介导跨模态注意力",
   "level": "l2"
  },
  "CAP_5a23165e": {
   "en": "Bottleneck Token Creation",
   "zh": "瓶颈 Token 创建",
   "level": "l3"
  },
  "CAP_12471520": {
   "en": "Modality-Bottleneck Write",
   "zh": "模态-瓶颈写入",
   "level": "l3"
  },
  "CAP_88b63cce": {
   "en": "Bottleneck Fusion",
   "zh": "瓶颈融合",
   "level": "l3"
  },
  "CAP_9bac449b": {
   "en": "Modality-Bottleneck Readout",
   "zh": "模态-瓶颈读取",
   "level": "l3"
  },
  "CAP_9a12a88b": {
   "en": "Cross-Modal Encoder VLN",
   "zh": "跨模态编码器视觉语言导航",
   "level": "l2"
  },
  "CAP_17f7e414": {
   "en": "Flat Cross-Modal Self-Attention Fusion",
   "zh": "扁平跨模态自注意力融合",
   "level": "l3"
  },
  "CAP_d702cf10": {
   "en": "Recurrent State Tracking Refinement",
   "zh": "循环状态追踪精炼",
   "level": "l3"
  },
  "CAP_76e412c5": {
   "en": "Attention-Based Action Decoder",
   "zh": "注意力权重动作解码器",
   "level": "l3"
  },
  "CAP_8c283c6e": {
   "en": "Graph-based Cross-Modal Attention VLN",
   "zh": "图结构跨模态注意力视觉语言导航",
   "level": "l2"
  },
  "CAP_1e164546": {
   "en": "Graph-Aware Self-Attention",
   "zh": "图感知自注意力",
   "level": "l3"
  },
  "CAP_8aea22ef": {
   "en": "Dual-Scale Dynamic Fusion",
   "zh": "双尺度动态融合",
   "level": "l3"
  },
  "CAP_3f3184d5": {
   "en": "Topological Map Builder",
   "zh": "拓扑图动态构建器",
   "level": "l3"
  },
  "CAP_6795bcf9": {
   "en": "VLM Cross-modal Attention Navigation",
   "zh": "VLM跨模态注意力导航",
   "level": "l2"
  },
  "CAP_40e752cd": {
   "en": "Video VLM Navigation Framer",
   "zh": "视频VLM导航帧序列管理",
   "level": "l3"
  },
  "CAP_8dad1152": {
   "en": "VLM Cross-Attention Reasoning",
   "zh": "VLM跨模态注意力推理复用",
   "level": "l3"
  },
  "CAP_9ff1b233": {
   "en": "LanguageTokenizationEmbedding",
   "zh": "语言分词与嵌入",
   "level": "l3"
  },
  "CAP_d2e17e07": {
   "en": "VisualFeatureEncoding",
   "zh": "视觉特征编码",
   "level": "l3"
  },
  "CAP_efc48561": {
   "en": "Cross-Modal Prediction Monitoring",
   "zh": "跨模态预测监控",
   "level": "l2"
  },
  "CAP_2c326e3a": {
   "en": "Tactile Deviation Detection",
   "zh": "触觉偏差检测",
   "level": "l3"
  },
  "CAP_d5036337": {
   "en": "Deviation Threshold Decision",
   "zh": "偏差阈值决策",
   "level": "l3"
  },
  "CAP_08039b87": {
   "en": "Tactile Closed-Loop Action Decoding",
   "zh": "触觉闭环动作解码",
   "level": "l3"
  },
  "CAP_e17068a2": {
   "en": "LLM-Based Multimodal Trace Reasoning",
   "zh": "LLM 多模态轨迹推理",
   "level": "l2"
  },
  "CAP_bf07fe17": {
   "en": "Multimodal Execution Logging",
   "zh": "多模态执行日志记录",
   "level": "l3"
  },
  "CAP_6198563b": {
   "en": "Hierarchical Trajectory Summarization",
   "zh": "层次化轨迹摘要",
   "level": "l3"
  },
  "CAP_8561922c": {
   "en": "Progressive Failure Reasoning",
   "zh": "渐进式失败推理",
   "level": "l3"
  },
  "CAP_ba5c1149": {
   "en": "LLM-Based Correction Planning",
   "zh": "LLM 修正规划",
   "level": "l3"
  },
  "CAP_d1e16bc4": {
   "en": "Cross-Modal Representation Alignment and Anomaly Detection",
   "zh": "跨模态表示对齐异常检测",
   "level": "l2"
  },
  "CAP_3d9dfb54": {
   "en": "Multimodal Paired Data Collection",
   "zh": "多模态配对数据采集",
   "level": "l3"
  },
  "CAP_77686813": {
   "en": "Cross-Attention Visuo-Tactile Fusion",
   "zh": "交叉注意力视触觉融合",
   "level": "l3"
  },
  "CAP_fddceebf": {
   "en": "Autoregressive Tactile Prediction for Anomaly",
   "zh": "自回归触觉预测异常检测",
   "level": "l3"
  },
  "CAP_70d74a18": {
   "en": "Cross-Modal Feature Mapping Anomaly Detection",
   "zh": "跨模态特征映射异常检测",
   "level": "l3"
  },
  "CAP_6a1b5b53": {
   "en": "Force Deviation in Joint Representation Space",
   "zh": "联合表示空间力觉偏差检测",
   "level": "l3"
  },
  "CAP_15d0c767": {
   "en": "Multi-Modal Sensor Data Synchronization",
   "zh": "多模态传感器数据同步",
   "level": "l3"
  },
  "CAP_c85b92e2": {
   "en": "Modality-Specific Sensor Tokenization",
   "zh": "模态特定传感器分词",
   "level": "l3"
  },
  "CAP_c84f020d": {
   "en": "Shared Embedding Space Projection",
   "zh": "共享嵌入空间投影",
   "level": "l3"
  },
  "CAP_216332e7": {
   "en": "Cross-Modal Contrastive Alignment",
   "zh": "跨模态对比对齐",
   "level": "l3"
  },
  "CAP_e6871075": {
   "en": "Multi-View Contrastive Representation Learning",
   "zh": "多视图对比表征学习",
   "level": "l3"
  },
  "CAP_69824497": {
   "en": "Modality-Agnostic Feature Extraction",
   "zh": "模态无关特征提取",
   "level": "l3"
  },
  "CAP_ac0e6c51": {
   "en": "Cross-Modal Deep Hashing Retrieval",
   "zh": "跨模态深度哈希检索",
   "level": "l2"
  },
  "CAP_0a67ab7f": {
   "en": "Point Cloud Global Descriptor Extraction",
   "zh": "点云全局描述符提取",
   "level": "l3"
  },
  "CAP_519abc1f": {
   "en": "Global Image Descriptor Extraction",
   "zh": "全局图像描述子提取",
   "level": "l3"
  },
  "CAP_5cd17fca": {
   "en": "Cross-Modal Hash Code Learning",
   "zh": "跨模态哈希码学习",
   "level": "l3"
  },
  "CAP_72402676": {
   "en": "Cross-Modal Feature Quantization",
   "zh": "跨模态特征量化",
   "level": "l3"
  },
  "CAP_e9a56e62": {
   "en": "Hash Table Index Construction",
   "zh": "哈希表索引构建",
   "level": "l3"
  },
  "CAP_19520f31": {
   "en": "Hamming Distance Retrieval",
   "zh": "Hamming 距离检索",
   "level": "l3"
  },
  "CAP_5f920a8b": {
   "en": "BEV-Space Cross-Modal Feature Fusion",
   "zh": "BEV空间跨模态特征融合",
   "level": "l2"
  },
  "CAP_ea41ff85": {
   "en": "Multi-Modal Sensor Feature Encoding",
   "zh": "多模态传感器特征编码",
   "level": "l3"
  },
  "CAP_dd4f1f11": {
   "en": "BEV Space Feature Fusion",
   "zh": "BEV空间特征融合",
   "level": "l3"
  },
  "CAP_e645aa90": {
   "en": "Geometric Cross-Modal Map Matching Pipeline",
   "zh": "几何跨模态地图匹配流水线",
   "level": "l2"
  },
  "CAP_3c86e1ae": {
   "en": "LiDAR Map Preprocessing",
   "zh": "LiDAR地图预处理",
   "level": "l3"
  },
  "CAP_2b5ddfb3": {
   "en": "Stereo Depth Estimation",
   "zh": "双目深度估计",
   "level": "l3"
  },
  "CAP_2b5be600": {
   "en": "Depth-to-Pointcloud Projection",
   "zh": "深度图反投影为点云",
   "level": "l3"
  },
  "CAP_9b27399c": {
   "en": "Local Map Extraction",
   "zh": "局部地图提取",
   "level": "l3"
  },
  "CAP_68b4301e": {
   "en": "Kalman Filter Pose Fusion",
   "zh": "卡尔曼滤波位姿融合",
   "level": "l3"
  },
  "CAP_35bdaa42": {
   "en": "Learning-based Cross-Modal Embedding Retrieval Pipeline",
   "zh": "学习式跨模态嵌入检索定位流水线",
   "level": "l2"
  },
  "CAP_c4c8ac69": {
   "en": "3D Point Cloud Embedding",
   "zh": "3D点云嵌入提取",
   "level": "l3"
  },
  "CAP_b128756b": {
   "en": "KD-Tree Index Construction",
   "zh": "嵌入向量k-d树索引构建",
   "level": "l3"
  },
  "CAP_cde26f3b": {
   "en": "Cross-Modal Embedding Retrieval",
   "zh": "跨模态嵌入最近邻检索",
   "level": "l3"
  },
  "CAP_db0d14f6": {
   "en": "LiDAR-to-Visual-Map Localization Pipeline",
   "zh": "LiDAR到视觉地图定位流水线",
   "level": "l2"
  },
  "CAP_3728bf22": {
   "en": "LiDAR Point Cloud Segmentation",
   "zh": "LiDAR点云分割",
   "level": "l3"
  },
  "CAP_5a19a430": {
   "en": "Segment Descriptor Extraction",
   "zh": "3D段描述子提取",
   "level": "l3"
  },
  "CAP_e9bf9cce74": {
   "en": "Dual-Encoder Late-Interaction Retrieval",
   "zh": "双塔晚交互跨模态检索",
   "level": "l2"
  },
  "CAP_7763cb4d1a": {
   "en": "Text Query Tokenization & Encoding",
   "zh": "文本查询嵌入编码",
   "level": "l3"
  },
  "CAP_f0fc5316d3": {
   "en": "Visual Patch Encoding",
   "zh": "视觉图像块编码",
   "level": "l3"
  },
  "CAP_ecbeb8a796": {
   "en": "Per-Token Detection Head",
   "zh": "逐token检测头",
   "level": "l3"
  },
  "CAP_5acb4b1a4d": {
   "en": "Cosine Similarity Cross-Modal Matching",
   "zh": "余弦相似度跨模态匹配",
   "level": "l3"
  },
  "CAP_f74edb1c": {
   "en": "Detection Post-Processing",
   "zh": "检测结果后处理",
   "level": "l3"
  },
  "CAP_702f2fd531": {
   "en": "Dual-Encoder Contrastive Pretraining",
   "zh": "双塔对比预训练",
   "level": "l3"
  },
  "CAP_7e7a3eaa79": {
   "en": "Cross-Modal Fusion Transformer Detection",
   "zh": "跨模态融合Transformer检测",
   "level": "l2"
  },
  "CAP_e0e3b2dbe9": {
   "en": "Feature Enhancer Cross-Modal Fusion",
   "zh": "特征增强器跨模态融合",
   "level": "l3"
  },
  "CAP_9e69d63e48": {
   "en": "Contrastive Alignment Detection Head",
   "zh": "对比对齐检测头",
   "level": "l3"
  },
  "CAP_7d47943892": {
   "en": "Generative VLM Instruction-Driven Detection",
   "zh": "生成式VLM指令驱动检测",
   "level": "l2"
  },
  "CAP_4affe00d": {
   "en": "Task Prompt Construction",
   "zh": "任务提示构建",
   "level": "l3"
  },
  "CAP_d0435e1ada": {
   "en": "Autoregressive Detection Decoding",
   "zh": "自回归检测解码",
   "level": "l3"
  },
  "CAP_c2224692": {
   "en": "Location Token Parsing",
   "zh": "位置token解析",
   "level": "l3"
  },
  "CAP_e327613b": {
   "en": "Cross-Modal Contrastive Embedding Retrieval",
   "zh": "跨模态对比嵌入检索",
   "level": "l2"
  },
  "CAP_bac5b1db": {
   "en": "Modality-Specific Preprocessing",
   "zh": "模态特定预处理",
   "level": "l3"
  },
  "CAP_c1b37866": {
   "en": "Dual-Stream Modality Encoding",
   "zh": "双流模态编码",
   "level": "l3"
  },
  "CAP_12e4559f": {
   "en": "Triplet Cross-Modal Ranking Loss Optimization",
   "zh": "三元组跨模态排序损失优化",
   "level": "l3"
  },
  "CAP_ee028b78": {
   "en": "Cross-Modal Appearance-Semantic Multi-Cue Fusion",
   "zh": "跨模态外观-语义多线索融合",
   "level": "l3"
  },
  "CAP_f1aa7afa": {
   "en": "Cross-Modal Retrieval Index Building and Query",
   "zh": "跨模态检索索引构建与查询",
   "level": "l3"
  },
  "CAP_fbf07b3e": {
   "en": "Foundation Model Universal Descriptor VPR",
   "zh": "基础模型通用描述子地点识别",
   "level": "l2"
  },
  "CAP_aacf0d44": {
   "en": "MixVPR All-MLP Feature Mixing Aggregation",
   "zh": "MixVPR 全MLP特征混合聚合",
   "level": "l3"
  },
  "CAP_64a6016c": {
   "en": "Multimodal Perception Acquisition",
   "zh": "多模态感知采集",
   "level": "l2"
  },
  "CAP_d3569bf8": {
   "en": "Hand Keypoint Detection",
   "zh": "手部关键点检测",
   "level": "l3"
  },
  "CAP_d7582593": {
   "en": "Body Pose Keypoint Detection",
   "zh": "人体姿态关键点检测",
   "level": "l3"
  },
  "CAP_d3840ea1": {
   "en": "Speech-to-Text Transcription",
   "zh": "语音转文本转录",
   "level": "l3"
  },
  "CAP_7e760d99": {
   "en": "3D Pointing Ray Estimation",
   "zh": "3D 指向射线估计",
   "level": "l2"
  },
  "CAP_cdefb017": {
   "en": "3D Hand Landmark Computation",
   "zh": "3D 手部关键点计算",
   "level": "l3"
  },
  "CAP_4e962870": {
   "en": "Pointing Direction Estimation",
   "zh": "指向方向估计",
   "level": "l3"
  },
  "CAP_f860bd76": {
   "en": "Coordinate Frame Transformation",
   "zh": "坐标系变换",
   "level": "l3"
  },
  "CAP_96f0d379": {
   "en": "Scene Object Candidate Generation",
   "zh": "场景物体候选生成",
   "level": "l2"
  },
  "CAP_ea238121": {
   "en": "Object Mask Segmentation",
   "zh": "物体掩码分割",
   "level": "l3"
  },
  "CAP_798a2c33": {
   "en": "3D Object Centroid Computation",
   "zh": "3D 物体质心计算",
   "level": "l3"
  },
  "CAP_9dc2e094": {
   "en": "Geometric Intersection and Language Disambiguation",
   "zh": "几何求交与语言消歧",
   "level": "l2"
  },
  "CAP_3d708779": {
   "en": "Ray-Object Intersection",
   "zh": "射线-物体求交",
   "level": "l3"
  },
  "CAP_2678b571": {
   "en": "Language-Based Candidate Filtering",
   "zh": "基于语言的候选过滤",
   "level": "l3"
  },
  "CAP_db303303": {
   "en": "Target Object Selection",
   "zh": "目标物体选择",
   "level": "l3"
  },
  "CAP_21d9068f": {
   "en": "Target Confirmation and Execution",
   "zh": "目标确认与执行",
   "level": "l2"
  },
  "CAP_95608e1b": {
   "en": "Target Pose Publishing",
   "zh": "目标位姿发布",
   "level": "l3"
  },
  "CAP_6bd4e4c8": {
   "en": "Downstream Task Triggering",
   "zh": "下游任务触发",
   "level": "l3"
  },
  "CAP_6f6441fa": {
   "en": "Geometric Pointing Language Reference Resolution",
   "zh": "几何指向语言联合指代消解",
   "level": "l2"
  },
  "CAP_080c2f98": {
   "en": "Deictic Pointing Ray Estimation",
   "zh": "指示指向射线估计",
   "level": "l3"
  },
  "CAP_e9183dca": {
   "en": "Ray-Object Intersection Candidate Selection",
   "zh": "射线-物体求交候选筛选",
   "level": "l3"
  },
  "CAP_3e0200e5": {
   "en": "Coordinate Frame Alignment for Pointing Ray",
   "zh": "指向射线坐标系对齐",
   "level": "l3"
  },
  "CAP_b548368b": {
   "en": "Open-Vocabulary Object Candidate Generation",
   "zh": "开放词汇物体候选生成",
   "level": "l3"
  },
  "CAP_f0738fb2": {
   "en": "Multimodal Confidence Fusion Target Selection",
   "zh": "多模态置信度融合目标选择",
   "level": "l3"
  },
  "CAP_8faa6715": {
   "en": "Speech-to-Text Instruction Transcription",
   "zh": "语音指令转文本",
   "level": "l3"
  },
  "CAP_04b26484": {
   "en": "Multimodal Input Acquisition and Preprocessing",
   "zh": "多模态输入采集与预处理",
   "level": "l2"
  },
  "CAP_08beab90": {
   "en": "Body Keypoint Detection",
   "zh": "人体关键点检测",
   "level": "l3"
  },
  "CAP_f048d54d": {
   "en": "Pointing Gesture Recognition and Ray Estimation",
   "zh": "指向手势识别与射线估计",
   "level": "l3"
  },
  "CAP_e67f1876": {
   "en": "Scene Object Detection and 3D Localization",
   "zh": "场景物体检测与 3D 定位",
   "level": "l2"
  },
  "CAP_dbe30637": {
   "en": "Box-Prompted Segmentation",
   "zh": "框提示分割",
   "level": "l3"
  },
  "CAP_6e0777bd": {
   "en": "Depth-Based 3D Localization",
   "zh": "基于深度的 3D 定位",
   "level": "l3"
  },
  "CAP_24856bdd": {
   "en": "Multimodal Reference Resolution",
   "zh": "多模态指代消解",
   "level": "l2"
  },
  "CAP_5b77827c": {
   "en": "Language-Guided Disambiguation",
   "zh": "语言引导消歧",
   "level": "l3"
  },
  "CAP_5bb7a399": {
   "en": "Target Pose Publishing and Downstream Triggering",
   "zh": "目标位姿发布与下游触发",
   "level": "l2"
  },
  "CAP_097722f0": {
   "en": "Ray Direction Computation",
   "zh": "射线方向计算",
   "level": "l3"
  },
  "CAP_6a8c2e4f": {
   "en": "Coordinate Transformation",
   "zh": "坐标转换",
   "level": "l3"
  },
  "CAP_3776341d": {
   "en": "Target Localization from Pointing",
   "zh": "指向目标定位",
   "level": "l2"
  },
  "CAP_64211688": {
   "en": "Plane Intersection",
   "zh": "平面求交",
   "level": "l3"
  },
  "CAP_d0020db0": {
   "en": "Target Publication",
   "zh": "目标发布",
   "level": "l3"
  },
  "CAP_7585e9bc": {
   "en": "VLM Referring Grounding",
   "zh": "VLM指代接地",
   "level": "l3"
  },
  "CAP_99f442a6": {
   "en": "Open-Vocabulary Referring Expression Detection",
   "zh": "开放词汇指代表达检测",
   "level": "l3"
  },
  "CAP_60cd1a27": {
   "en": "Generative VLM Coordinate Token Grounding",
   "zh": "生成式VLM坐标token接地",
   "level": "l3"
  },
  "CAP_ab396aaa": {
   "en": "Box-Prompted Object Segmentation",
   "zh": "框提示物体分割",
   "level": "l3"
  },
  "CAP_937c96ec": {
   "en": "Depth-Backprojected 3D Localization",
   "zh": "深度反投影3D定位",
   "level": "l3"
  },
  "CAP_43c27dc8": {
   "en": "Grounding Confidence Gap Analysis",
   "zh": "接地置信度间隙分析",
   "level": "l3"
  },
  "CAP_9272ff96": {
   "en": "Interactive Clarification Disambiguation",
   "zh": "交互式澄清消歧",
   "level": "l2"
  },
  "CAP_b3262859": {
   "en": "Intent Ambiguity Detection",
   "zh": "意图歧义检测",
   "level": "l3"
  },
  "CAP_604a56da": {
   "en": "Confidence Gap Trigger",
   "zh": "置信度间隙触发",
   "level": "l3"
  },
  "CAP_d00412a1": {
   "en": "Dialogue State Tracking",
   "zh": "对话状态跟踪",
   "level": "l3"
  },
  "CAP_5b56d718": {
   "en": "Discriminating Attribute Extraction",
   "zh": "区分属性提取",
   "level": "l3"
  },
  "CAP_f6dfa8e1": {
   "en": "User Response Parsing",
   "zh": "用户回答解析",
   "level": "l3"
  },
  "CAP_be534d2a": {
   "en": "Target Re-localization with Clarified Attributes",
   "zh": "澄清后目标重定位",
   "level": "l3"
  },
  "CAP_9777ab47": {
   "en": "Execution Feedback and Replanning",
   "zh": "执行反馈与重规划",
   "level": "l3"
  },
  "CAP_8036dcd9": {
   "en": "Multimodal Encoder Selection and Loading",
   "zh": "多模态编码器选择与加载",
   "level": "l3"
  },
  "CAP_c663b4f0": {
   "en": "Embedding Extraction and L2 Normalization",
   "zh": "嵌入提取与L2归一化",
   "level": "l3"
  },
  "CAP_8c02f54c": {
   "en": "Target Modality Batch Embedding",
   "zh": "目标模态批量嵌入编码",
   "level": "l3"
  },
  "CAP_76f2e82c": {
   "en": "Cross-Modal kNN Retrieval and Scoring",
   "zh": "跨模态kNN检索与评分",
   "level": "l2"
  },
  "CAP_ae03477c": {
   "en": "FAISS k-Nearest Neighbor Search",
   "zh": "FAISS k近邻搜索",
   "level": "l3"
  },
  "CAP_979ef5ee": {
   "en": "Cross-Modal Cosine Similarity Scoring",
   "zh": "跨模态余弦相似度评分",
   "level": "l3"
  },
  "CAP_1232818e": {
   "en": "Retrieval Result Post-processing",
   "zh": "检索结果后处理",
   "level": "l2"
  },
  "CAP_1a111143": {
   "en": "Threshold-Based Retrieval Filtering",
   "zh": "阈值检索过滤",
   "level": "l3"
  },
  "CAP_e3c01bdb": {
   "en": "Retrieval Results Output",
   "zh": "检索结果输出",
   "level": "l3"
  },
  "CAP_e356934e": {
   "en": "Multisensory Neural Implicit Representation Learning",
   "zh": "多感官神经隐式表征学习",
   "level": "l2"
  },
  "CAP_82774716": {
   "en": "Visual Neural Implicit Representation",
   "zh": "视觉神经隐式表征",
   "level": "l3"
  },
  "CAP_06789c85": {
   "en": "Tactile Neural Implicit Representation",
   "zh": "触觉神经隐式表征",
   "level": "l3"
  },
  "CAP_293cf50b": {
   "en": "Audio Neural Implicit Representation",
   "zh": "音频神经隐式表征",
   "level": "l3"
  },
  "CAP_4fa2ff2d": {
   "en": "Contrastive Implicit Alignment Loss",
   "zh": "对比隐式对齐损失",
   "level": "l3"
  },
  "CAP_11551876": {
   "en": "Implicit Representation Cosine kNN",
   "zh": "隐式表征余弦kNN检索",
   "level": "l3"
  },
  "CAP_118fa4cf": {
   "en": "Object Identity and Confidence Aggregation",
   "zh": "物体身份与置信度聚合",
   "level": "l3"
  },
  "CAP_c71c1bef": {
   "en": "Multimodal Deep Feature Extraction for Hashing",
   "zh": "多模态哈希特征提取",
   "level": "l2"
  },
  "CAP_04880260": {
   "en": "Common Subspace Feature Projection",
   "zh": "公共子空间特征投影",
   "level": "l3"
  },
  "CAP_d5912c50": {
   "en": "Top-K Hash Retrieval Results Formatting",
   "zh": "Top-K哈希检索结果格式化",
   "level": "l3"
  },
  "CAP_3a29455f": {
   "en": "Category-Level 6D Pose And Size Estimation",
   "zh": "类别级 6D 位姿与尺寸估计",
   "level": "l2"
  },
  "CAP_7520f52d": {
   "en": "Normalized Object Coordinate Regression",
   "zh": "规范化物体坐标回归",
   "level": "l3"
  },
  "CAP_5c7aff54": {
   "en": "Similarity Transform Pose Fitting",
   "zh": "相似变换位姿拟合",
   "level": "l3"
  },
  "CAP_9d202264": {
   "en": "Semantic Keypoint Detection For Manipulation",
   "zh": "面向操作的语义关键点检测",
   "level": "l3"
  },
  "CAP_27cdd570": {
   "en": "Keypoint-Based Manipulation Planning",
   "zh": "基于关键点的操作规划",
   "level": "l3"
  },
  "CAP_f70783a7": {
   "en": "Instance Segmentation For Category Objects",
   "zh": "类别物体实例分割",
   "level": "l3"
  },
  "CAP_d415e7c5": {
   "en": "Dense Shape Completion For Manipulation",
   "zh": "面向操作的稠密形状补全",
   "level": "l3"
  },
  "CAP_85664c69": {
   "en": "VLM-Grounded Language-Conditioned Manipulation",
   "zh": "VLM 接地的语言条件操作",
   "level": "l2"
  },
  "CAP_3582cb41": {
   "en": "Language-Conditioned Affordance Prediction",
   "zh": "语言条件的 affordance 预测",
   "level": "l3"
  },
  "CAP_20353c1c": {
   "en": "Mark-Based Visual Prompting for Keypoint Prediction",
   "zh": "基于视觉Mark的关键点预测提示",
   "level": "l3"
  },
  "CAP_a8d62cb0": {
   "en": "Internet-Scale Vision-Language Pretraining For Robotics",
   "zh": "面向机器人的互联网级视觉-语言预训练",
   "level": "l3"
  },
  "CAP_cfe99016": {
   "en": "Meta-Learning Few-Shot Skill Adaptation",
   "zh": "元学习少样本技能适应",
   "level": "l2"
  },
  "CAP_4757c2c7": {
   "en": "Probabilistic Task Posterior Inference",
   "zh": "概率任务后验推断",
   "level": "l3"
  },
  "CAP_8ddacf62": {
   "en": "Distilled 3D Feature Field For Manipulation",
   "zh": "面向操作的 3D 特征场蒸馏",
   "level": "l3"
  },
  "CAP_77b5f506": {
   "en": "Few-Shot Language-Guided Grasp Pose Optimization",
   "zh": "少样本语言引导的抓取位姿优化",
   "level": "l3"
  },
  "CAP_8b400e46": {
   "en": "Dynamics Extrinsics Latent Inference",
   "zh": "动力学外在变量隐式推断",
   "level": "l3"
  },
  "CAP_542e1b39": {
   "en": "DDS Cross-Platform Communication",
   "zh": "DDS 跨平台通信配置",
   "level": "l2"
  },
  "CAP_bada7c6c": {
   "en": "ROS2 Namespace Isolation",
   "zh": "ROS2 命名空间隔离",
   "level": "l3"
  },
  "CAP_113e71de": {
   "en": "Cross-Platform Standard Message Definition",
   "zh": "跨平台标准消息定义",
   "level": "l3"
  },
  "CAP_13f67873": {
   "en": "Cross-Robot TF Broadcast",
   "zh": "跨机器人 TF 广播",
   "level": "l3"
  },
  "CAP_345decf0": {
   "en": "Protocol Translation Bridge Communication",
   "zh": "协议翻译桥接通信",
   "level": "l2"
  },
  "CAP_4795b4fe": {
   "en": "ROS1-ROS2 Bidirectional Bridge",
   "zh": "ROS1-ROS2 双向桥接",
   "level": "l3"
  },
  "CAP_5ba29555": {
   "en": "rosbridge WebSocket Server",
   "zh": "rosbridge WebSocket 服务器",
   "level": "l3"
  },
  "CAP_87e45848": {
   "en": "rosbridge JSON Protocol Operations",
   "zh": "rosbridge JSON 协议操作",
   "level": "l3"
  },
  "CAP_8626f1d8": {
   "en": "MQTT-ROS Bridge",
   "zh": "MQTT-ROS 桥接",
   "level": "l3"
  },
  "CAP_390cb98d": {
   "en": "Fleet Adapter Interoperability Communication",
   "zh": "机群适配器互操作通信",
   "level": "l2"
  },
  "CAP_0bec2525": {
   "en": "Fleet Adapter Registration",
   "zh": "机群适配器注册",
   "level": "l3"
  },
  "CAP_747d0405": {
   "en": "Robot Command Translation",
   "zh": "机器人指令翻译",
   "level": "l3"
  },
  "CAP_f99d2884": {
   "en": "Robot State Reporting",
   "zh": "机器人状态上报",
   "level": "l3"
  },
  "CAP_97883048": {
   "en": "Fleet Message Translation",
   "zh": "机群消息格式翻译",
   "level": "l3"
  },
  "CAP_48af9852": {
   "en": "Zenoh Cross-Platform Communication",
   "zh": "Zenoh 跨平台通信",
   "level": "l2"
  },
  "CAP_d2830c83": {
   "en": "Zenoh Bridge Deployment",
   "zh": "Zenoh Bridge 部署配置",
   "level": "l3"
  },
  "CAP_9c6eea94": {
   "en": "Zenoh Namespace Isolation",
   "zh": "Zenoh 命名空间隔离",
   "level": "l3"
  },
  "CAP_783c0581": {
   "en": "Zenoh WAN Routing",
   "zh": "Zenoh 广域网路由",
   "level": "l3"
  },
  "CAP_7ef8f0dd": {
   "en": "Zenoh-DDS Bridging",
   "zh": "Zenoh-DDS 桥接",
   "level": "l3"
  },
  "CAP_34e8bf49": {
   "en": "DDS Participant Management",
   "zh": "DDS 参与者管理",
   "level": "l2"
  },
  "CAP_ac87dd29": {
   "en": "Static QoS Profile Configuration and Precheck",
   "zh": "静态QoS Profile配置与预检",
   "level": "l3"
  },
  "CAP_12e3da2b": {
   "en": "DDS XTypes Type Negotiation",
   "zh": "DDS 动态类型协商",
   "level": "l3"
  },
  "CAP_3e1506d0": {
   "en": "DDS Runtime Data Exchange",
   "zh": "DDS 运行时数据交换",
   "level": "l2"
  },
  "CAP_3b0ec1e1": {
   "en": "CDR Data Serialization",
   "zh": "CDR 数据序列化",
   "level": "l3"
  },
  "CAP_b1c6af40": {
   "en": "Fleet Adapter Onboarding",
   "zh": "舰队适配器注册接入",
   "level": "l3"
  },
  "CAP_87bed800": {
   "en": "Navigation Graph Parsing",
   "zh": "导航图解析",
   "level": "l3"
  },
  "CAP_ad85c3b7": {
   "en": "Robot Pose Update",
   "zh": "机器人位姿上报",
   "level": "l3"
  },
  "CAP_864948f2": {
   "en": "Robot Battery SOC Update",
   "zh": "机器人电池SOC上报",
   "level": "l3"
  },
  "CAP_9c3c40a8": {
   "en": "Fleet State Broadcast",
   "zh": "舰队状态对外广播",
   "level": "l3"
  },
  "CAP_5b770aa3": {
   "en": "Physical Infrastructure Integration",
   "zh": "物理基础设施集成",
   "level": "l2"
  },
  "CAP_7d3290bf": {
   "en": "Door Adapter Integration",
   "zh": "门适配器集成",
   "level": "l3"
  },
  "CAP_f1304ec0": {
   "en": "Charging Station Integration",
   "zh": "充电桩集成",
   "level": "l3"
  },
  "CAP_653cb149": {
   "en": "Hierarchical Fleet Auction Dispatch Orchestration",
   "zh": "层级式舰队拍卖派发编排",
   "level": "l2"
  },
  "CAP_10e9e085": {
   "en": "Elevator Navigation",
   "zh": "电梯导航",
   "level": "l3"
  },
  "CAP_f8610d84": {
   "en": "Protocol Translation Gateway Bridging",
   "zh": "协议翻译网关桥接",
   "level": "l2"
  },
  "CAP_aed8a650": {
   "en": "Message Type Mapping And Conversion",
   "zh": "消息类型映射与转换",
   "level": "l3"
  },
  "CAP_f6662edc": {
   "en": "Dynamic Bridge Topic Discovery",
   "zh": "动态桥端点发现",
   "level": "l3"
  },
  "CAP_05163d90": {
   "en": "QoS Policy Adaptation Across Stacks",
   "zh": "跨栈 QoS 策略适配",
   "level": "l3"
  },
  "CAP_2d28cf6c": {
   "en": "Cloud Robot Bridge Deployment",
   "zh": "云边机器人桥接部署",
   "level": "l3"
  },
  "CAP_7cfd430f": {
   "en": "Centralized Protocol Translation",
   "zh": "中心化协议翻译",
   "level": "l3"
  },
  "CAP_a7fbf1f1": {
   "en": "POSIX Cross-Process Synchronization",
   "zh": "POSIX 跨进程同步",
   "level": "l2"
  },
  "CAP_52024339": {
   "en": "POSIX Named Semaphore Management",
   "zh": "POSIX 命名信号量管理",
   "level": "l3"
  },
  "CAP_fba6efcb": {
   "en": "Process-Shared Mutex Lock",
   "zh": "进程共享互斥锁",
   "level": "l3"
  },
  "CAP_5407a239": {
   "en": "Process-Shared Condition Variable",
   "zh": "进程共享条件变量",
   "level": "l3"
  },
  "CAP_3e0b9819": {
   "en": "Process-Shared Read-Write Lock",
   "zh": "进程共享读写锁",
   "level": "l3"
  },
  "CAP_11e41b71": {
   "en": "Shared Memory Ring Buffer Synchronization",
   "zh": "共享内存环形缓冲区同步",
   "level": "l3"
  },
  "CAP_a2fddb00": {
   "en": "Shared Memory Region Creation",
   "zh": "共享内存区域创建",
   "level": "l3"
  },
  "CAP_81a23982": {
   "en": "Shared Memory Data Access",
   "zh": "共享内存数据访问",
   "level": "l3"
  },
  "CAP_50f2e027": {
   "en": "POSIX Synchronization Resource Cleanup",
   "zh": "POSIX 同步资源清理",
   "level": "l3"
  },
  "CAP_de4d151b": {
   "en": "Boost Interprocess Synchronization",
   "zh": "Boost.Interprocess 跨平台同步",
   "level": "l2"
  },
  "CAP_7fd8566b": {
   "en": "Named Mutex with Scoped Lock",
   "zh": "命名互斥锁与作用域锁",
   "level": "l3"
  },
  "CAP_64d5cc0c": {
   "en": "Interprocess Condition Variable",
   "zh": "进程间条件变量",
   "level": "l3"
  },
  "CAP_061639e8": {
   "en": "Upgradable Interprocess Mutex",
   "zh": "可升级进程间互斥锁",
   "level": "l3"
  },
  "CAP_5a972282": {
   "en": "Managed Shared Memory Segment Infrastructure",
   "zh": "托管共享内存段基础设施",
   "level": "l3"
  },
  "CAP_bbd5ca90": {
   "en": "RT Safe Thread Data Exchange",
   "zh": "RT 安全线程数据交换",
   "level": "l2"
  },
  "CAP_1a166984": {
   "en": "Lock-Free Double Buffer State Publication",
   "zh": "无锁双缓冲状态发布",
   "level": "l3"
  },
  "CAP_3c42b565": {
   "en": "Fixed-Capacity Lock-Free Queue Event Transfer",
   "zh": "固定容量无锁队列事件传递",
   "level": "l3"
  },
  "CAP_45c04419": {
   "en": "Realtime-Safe Topic Publication",
   "zh": "RT 安全话题发布",
   "level": "l3"
  },
  "CAP_f5eff725": {
   "en": "Iceoryx Zero-Copy IPC Synchronization",
   "zh": "iceoryx 零拷贝 IPC 同步",
   "level": "l2"
  },
  "CAP_b3bb02af": {
   "en": "Chunk Reference Count Lifecycle Management",
   "zh": "Chunk 引用计数生命周期管理",
   "level": "l3"
  },
  "CAP_53c5c3ec": {
   "en": "Event-Driven Subscriber Notification Wait",
   "zh": "事件驱动订阅通知等待",
   "level": "l3"
  },
  "CAP_5bc3c148": {
   "en": "RouDi Daemon Shared Memory Coordination",
   "zh": "RouDi 守护进程共享内存协调",
   "level": "l3"
  },
  "CAP_189dceba": {
   "en": "SharedMemorySyncPrimitiveInit",
   "zh": "共享内存同步原语初始化",
   "level": "l3"
  },
  "CAP_65b50f39": {
   "en": "pthread condvar wait signal",
   "zh": "条件变量等待与唤醒",
   "level": "l3"
  },
  "CAP_2aba59a0": {
   "en": "CosPlace Global Descriptor Extraction",
   "zh": "CosPlace 全局描述子提取",
   "level": "l3"
  },
  "CAP_13ad4b65": {
   "en": "Cross-Robot Loop Candidate Geometric Verification",
   "zh": "跨机器人回环候选几何验证",
   "level": "l3"
  },
  "CAP_6b3565d3": {
   "en": "Distributed Lightweight Sequence Loop Closure Pipeline",
   "zh": "分布式轻量序列回环检测流水线",
   "level": "l2"
  },
  "CAP_c655a84e": {
   "en": "Sparse Keyframe Extraction and Exchange",
   "zh": "稀疏关键帧提取与P2P交换",
   "level": "l3"
  },
  "CAP_a947c480": {
   "en": "Sequence Difference Matrix Loop Closure",
   "zh": "序列差分矩阵回环检测",
   "level": "l3"
  },
  "CAP_cd7e154b": {
   "en": "Distributed Peer-to-Peer Communication",
   "zh": "分布式P2P通信模块",
   "level": "l3"
  },
  "CAP_b38812b2": {
   "en": "Spectral Prioritization",
   "zh": "谱优先排序",
   "level": "l3"
  },
  "CAP_6af941d3": {
   "en": "Lightweight Inter-Robot Loop Verification",
   "zh": "轻量跨机回环验证",
   "level": "l3"
  },
  "CAP_ef55baf4": {
   "en": "Foundation Model Cross-Modal Loop Verification",
   "zh": "基础模型跨模态回环验证",
   "level": "l3"
  },
  "CAP_72277650": {
   "en": "Cross-Robot Loop Constraint Pose Graph Optimization",
   "zh": "跨机回环约束位姿图优化",
   "level": "l3"
  },
  "CAP_56f29a1e": {
   "en": "Dual Vision Encoder VLA Input",
   "zh": "双编码器VLA视觉输入",
   "level": "l3"
  },
  "CAP_a76a2786": {
   "en": "Cross-Embodiment Dataset Curation",
   "zh": "跨本体数据集策展",
   "level": "l2"
  },
  "CAP_1f086b02": {
   "en": "VLA Full-Scale Co-Training",
   "zh": "VLA大规模协同训练",
   "level": "l3"
  },
  "CAP_e2c9d743": {
   "en": "Shared Backbone Cross-Embodiment Transformer Policy",
   "zh": "共享主干跨本体Transformer策略",
   "level": "l2"
  },
  "CAP_0b7a54da": {
   "en": "Block-Wise Masked Attention Transformer Backbone",
   "zh": "分块注意力Transformer主干",
   "level": "l3"
  },
  "CAP_192fcd11": {
   "en": "Diffusion Readout Head Action Generation",
   "zh": "扩散读出头动作生成",
   "level": "l3"
  },
  "CAP_55a8dff7": {
   "en": "Multimodal Tokenizer and Encoding",
   "zh": "多模态分词与编码",
   "level": "l3"
  },
  "CAP_b676ca6c": {
   "en": "Discrete Universal Action Codebook Policy",
   "zh": "离散通用动作码本策略",
   "level": "l2"
  },
  "CAP_5b085c2d": {
   "en": "Universal Action VQ Codebook Learning",
   "zh": "通用动作VQ码本学习",
   "level": "l3"
  },
  "CAP_8da4919b": {
   "en": "Embodiment-Specific Action Translator",
   "zh": "本体特定动作翻译器",
   "level": "l3"
  },
  "CAP_ff2aca13": {
   "en": "Codebook Usage Monitoring",
   "zh": "码本使用监控",
   "level": "l3"
  },
  "CAP_07297402": {
   "en": "Hierarchical Localization",
   "zh": "分层6-DoF视觉定位",
   "level": "l2"
  },
  "CAP_47b964c5": {
   "en": "Multi-Experience Visual Teach and Repeat",
   "zh": "多经验视觉教导-复现",
   "level": "l2"
  },
  "CAP_d90b383f": {
   "en": "Teach Path Recording",
   "zh": "示教路径记录",
   "level": "l3"
  },
  "CAP_3fc0eb54": {
   "en": "Multi-Experience Localization",
   "zh": "多经验粗定位与精细定位",
   "level": "l3"
  },
  "CAP_c69c64e6": {
   "en": "Pure Pursuit Path Following",
   "zh": "Pure Pursuit 路径跟踪",
   "level": "l3"
  },
  "CAP_7a3f1c02": {
   "en": "Cross-Session BoW Data Association Pipeline",
   "zh": "跨会话词袋数据关联流水线",
   "level": "l2"
  },
  "CAP_8b2d4e01": {
   "en": "ORB Keyframe BoW Quantization",
   "zh": "ORB关键帧词袋量化",
   "level": "l3"
  },
  "CAP_9c4f6a03": {
   "en": "BoW Inverted Index Insertion",
   "zh": "词袋倒排索引插入",
   "level": "l3"
  },
  "CAP_2d5e8b04": {
   "en": "BoW Common Word Candidate Detection",
   "zh": "词袋公共单词候选检测",
   "level": "l3"
  },
  "CAP_4f7a0d06": {
   "en": "Sim3 Geometric Verification",
   "zh": "Sim3几何验证",
   "level": "l3"
  },
  "CAP_5a8b1e07": {
   "en": "Covisibility Geometric Consistency Check",
   "zh": "共视几何一致性校验",
   "level": "l3"
  },
  "CAP_6b9c2f08": {
   "en": "Temporal Consistency Validation",
   "zh": "时序一致性校验",
   "level": "l3"
  },
  "CAP_8d1e4b0a": {
   "en": "Self-Supervised Keypoint Detection and Description",
   "zh": "自监督关键点检测与描述",
   "level": "l3"
  },
  "CAP_9e2f5c0b": {
   "en": "Attentional GNN Feature Matching",
   "zh": "注意力GNN特征匹配",
   "level": "l3"
  },
  "CAP_0f3a6d0c": {
   "en": "Sinkhorn Optimal Transport Matching",
   "zh": "Sinkhorn最优传输匹配",
   "level": "l3"
  },
  "CAP_1a4b7e0d": {
   "en": "LiDAR Scan Descriptor Data Association",
   "zh": "LiDAR扫描描述子数据关联",
   "level": "l2"
  },
  "CAP_2b5c8f0e": {
   "en": "ScanContext Encoding",
   "zh": "ScanContext扫描编码",
   "level": "l3"
  },
  "CAP_3c6d9a0f": {
   "en": "Ring-Key KD-Tree Retrieval",
   "zh": "Ring-Key KD-Tree检索",
   "level": "l3"
  },
  "CAP_4d7e0b10": {
   "en": "ScanContext Yaw-Aligned Distance",
   "zh": "ScanContext偏航对齐距离",
   "level": "l3"
  },
  "CAP_5e8f1c11": {
   "en": "LiDAR ICP Fine Registration",
   "zh": "LiDAR ICP精配准",
   "level": "l3"
  },
  "CAP_6f9a2d12": {
   "en": "Semantic Object-Level Data Association",
   "zh": "语义物体级数据关联",
   "level": "l2"
  },
  "CAP_7a0b3e13": {
   "en": "Object Instance Detection and Segmentation",
   "zh": "物体实例检测与分割",
   "level": "l3"
  },
  "CAP_8b1c4f14": {
   "en": "Dual Quadric Object Representation",
   "zh": "Dual Quadric物体表示",
   "level": "l3"
  },
  "CAP_9c2d5a15": {
   "en": "Semantic Label Candidate Filtering",
   "zh": "语义标签候选过滤",
   "level": "l3"
  },
  "CAP_0d3e6b16": {
   "en": "Geometric Object Similarity Computation",
   "zh": "几何物体相似度计算",
   "level": "l3"
  },
  "CAP_1e4f7c17": {
   "en": "Instance-Level Matching Assignment",
   "zh": "实例级匹配分配",
   "level": "l3"
  },
  "CAP_b7f25d74": {
   "en": "Session Alignment",
   "zh": "会话对齐",
   "level": "l2"
  },
  "CAP_e648601a": {
   "en": "Multi-Session Pose Graph Loading",
   "zh": "多会话位姿图加载",
   "level": "l3"
  },
  "CAP_9209ebe6": {
   "en": "ICP Relative Constraint Computation",
   "zh": "ICP 相对约束计算",
   "level": "l3"
  },
  "CAP_cf47d931": {
   "en": "Pose Graph Optimization (iSAM2)",
   "zh": "位姿图优化（iSAM2）",
   "level": "l3"
  },
  "CAP_f25bad7c": {
   "en": "Radius Search Loop Detection",
   "zh": "半径搜索回环检测",
   "level": "l3"
  },
  "CAP_233ef981": {
   "en": "Change Detection",
   "zh": "变化检测",
   "level": "l2"
  },
  "CAP_3d52f8df": {
   "en": "Keyframe Pre-cleaning",
   "zh": "关键帧预清理",
   "level": "l3"
  },
  "CAP_67885a9a": {
   "en": "High Dynamic Point Removal",
   "zh": "高动态点去除",
   "level": "l3"
  },
  "CAP_9dcc87f5": {
   "en": "Low Dynamic Point Detection",
   "zh": "低动态点检测",
   "level": "l3"
  },
  "CAP_87f213c8": {
   "en": "ND Classification",
   "zh": "负变化分类",
   "level": "l3"
  },
  "CAP_22590181": {
   "en": "PD Classification",
   "zh": "正变化分类",
   "level": "l3"
  },
  "CAP_73d558d7": {
   "en": "Map Update",
   "zh": "地图更新",
   "level": "l3"
  },
  "CAP_ce314158": {
   "en": "Static Scan Merging",
   "zh": "静态扫描合并",
   "level": "l3"
  },
  "CAP_cb054cd9": {
   "en": "Delta Map Application",
   "zh": "增量地图应用",
   "level": "l3"
  },
  "CAP_82fc5bb7": {
   "en": "Live Map Generation",
   "zh": "实时地图生成",
   "level": "l3"
  },
  "CAP_95dcd5d7": {
   "en": "Meta Map Generation",
   "zh": "元地图生成",
   "level": "l3"
  },
  "CAP_ec2b53d8": {
   "en": "Version Management",
   "zh": "版本管理",
   "level": "l2"
  },
  "CAP_6706519a": {
   "en": "Map Restoration",
   "zh": "地图恢复",
   "level": "l3"
  },
  "CAP_b9491373": {
   "en": "Multi-Session Pose Graph Preprocessing",
   "zh": "多会话位姿图预处理",
   "level": "l2"
  },
  "CAP_789e0808": {
   "en": "Anchor Node Pose Graph Alignment",
   "zh": "锚节点位姿图多会话对齐",
   "level": "l3"
  },
  "CAP_11821370": {
   "en": "LiDAR High/Low Dynamic Change Detection",
   "zh": "LiDAR高低动态变化检测",
   "level": "l2"
  },
  "CAP_90b8529f": {
   "en": "Delta Map Update and Composition",
   "zh": "Delta Map更新与组合",
   "level": "l3"
  },
  "CAP_ef1f97f4": {
   "en": "Single-Session Frontend Mapping",
   "zh": "单会话前端建图",
   "level": "l3"
  },
  "CAP_9b2addec": {
   "en": "SC-LIO-SAM Frontend",
   "zh": "SC-LIO-SAM前端里程计",
   "level": "l3"
  },
  "CAP_c5769b38": {
   "en": "Multi-Session Pose Graph Alignment",
   "zh": "多会话位姿图对齐",
   "level": "l2"
  },
  "CAP_847e7686": {
   "en": "Multi-Session Data Loading",
   "zh": "多会话数据加载",
   "level": "l3"
  },
  "CAP_5a4b2266": {
   "en": "Anchor Node Loop Closure",
   "zh": "锚节点回环闭合",
   "level": "l3"
  },
  "CAP_1dfaabab": {
   "en": "Multi-Session Graph Optimization",
   "zh": "多会话图优化",
   "level": "l3"
  },
  "CAP_fce25a78": {
   "en": "HD Removal and Change Detection",
   "zh": "高动态去除与变化检测",
   "level": "l2"
  },
  "CAP_aaf668d5": {
   "en": "Removert HD Removal",
   "zh": "Removert 高动态去除",
   "level": "l3"
  },
  "CAP_3ac20728": {
   "en": "Low Dynamic Change Detection",
   "zh": "低动态变化检测",
   "level": "l3"
  },
  "CAP_ae24a224": {
   "en": "Map Update and Versioning",
   "zh": "地图更新与版本管理",
   "level": "l2"
  },
  "CAP_30a67b15": {
   "en": "Scanwise Map Update",
   "zh": "逐扫描地图更新",
   "level": "l3"
  },
  "CAP_2ebe9364": {
   "en": "Object-Level 4D Spatio-Temporal Semantic Mapping",
   "zh": "对象级4D时空语义建图",
   "level": "l2"
  },
  "CAP_a0e61347": {
   "en": "Active Window Local Estimation",
   "zh": "动态窗口局部估计",
   "level": "l3"
  },
  "CAP_c36c48c5": {
   "en": "Deformable Graph Global Optimization",
   "zh": "变形图全局优化",
   "level": "l3"
  },
  "CAP_078bd50e": {
   "en": "Spatio-Temporal Consistency Reasoning",
   "zh": "时空一致性推理",
   "level": "l3"
  },
  "CAP_6a71c248": {
   "en": "Spatio-Temporal Local Estimation",
   "zh": "局部时空估计",
   "level": "l2"
  },
  "CAP_8b802c88": {
   "en": "Semantic Segmentation Frontend Interface",
   "zh": "语义分割前端接口",
   "level": "l3"
  },
  "CAP_71f893b3": {
   "en": "Object Fragment Extraction and Tracking",
   "zh": "对象fragment提取与跟踪",
   "level": "l3"
  },
  "CAP_c0fa1692": {
   "en": "Deformable Global Optimization",
   "zh": "变形图全局优化",
   "level": "l2"
  },
  "CAP_98854cfa": {
   "en": "Spatio-Temporal Consistency / Reconciliation",
   "zh": "时空一致性推理",
   "level": "l2"
  },
  "CAP_c858e19d": {
   "en": "Map Update and Output",
   "zh": "地图更新与输出",
   "level": "l2"
  },
  "CAP_2755e85b": {
   "en": "Multi-Session Map Loading and Local Optimization",
   "zh": "多会话地图加载与本地优化",
   "level": "l2"
  },
  "CAP_fa72c22c": {
   "en": "Landmark-Based Loop Closure Detection",
   "zh": "基于 Landmark 的回环检测",
   "level": "l2"
  },
  "CAP_f70178e6": {
   "en": "Relative Transform Estimation",
   "zh": "相对变换估计",
   "level": "l2"
  },
  "CAP_56bf52b7": {
   "en": "Robust Global VI-BA with Switchable Constraints",
   "zh": "带开关约束的鲁棒全局 VI-BA",
   "level": "l2"
  },
  "CAP_f1119b68": {
   "en": "Multi-Robot Mapping Server",
   "zh": "多机器人地图服务器",
   "level": "l2"
  },
  "CAP_c0b615e1": {
   "en": "Static Map Extraction via Dynamic Point Filtering",
   "zh": "动态点滤波静态地图提取",
   "level": "l2"
  },
  "CAP_06ef117e": {
   "en": "Multi-Resolution Batch Removal",
   "zh": "多分辨率批量去除",
   "level": "l3"
  },
  "CAP_418e44f7": {
   "en": "Map Parsing and Output",
   "zh": "地图解析与输出",
   "level": "l3"
  },
  "CAP_79a4b503": {
   "en": "Remove-then-Revert",
   "zh": "去除后恢复误杀",
   "level": "l3"
  },
  "CAP_d46d1196": {
   "en": "Static/Dynamic Map Parsing",
   "zh": "静态/动态地图解析",
   "level": "l3"
  },
  "CAP_3d810dc1": {
   "en": "Probabilistic Persistence Filtering",
   "zh": "概率持久性滤波",
   "level": "l3"
  },
  "CAP_1139ee10": {
   "en": "Conversation Fact Extraction",
   "zh": "对话事实提取",
   "level": "l3"
  },
  "CAP_8e708993": {
   "en": "Memory Vectorization & Storage",
   "zh": "记忆向量化存储",
   "level": "l3"
  },
  "CAP_7c99a76b": {
   "en": "Memory Conflict Resolution & Update",
   "zh": "记忆冲突消解与更新",
   "level": "l3"
  },
  "CAP_ade83372": {
   "en": "Hybrid Retrieval Reranking",
   "zh": "混合检索精排",
   "level": "l3"
  },
  "CAP_8ccd11a0": {
   "en": "Core Memory Block Management",
   "zh": "核心记忆块管理",
   "level": "l3"
  },
  "CAP_b1828020": {
   "en": "Conversation History Indexing",
   "zh": "对话历史索引存储",
   "level": "l3"
  },
  "CAP_5cc8d643": {
   "en": "Context Window Compaction",
   "zh": "上下文窗口压缩",
   "level": "l3"
  },
  "CAP_ff62da0c": {
   "en": "Self-Editing Memory",
   "zh": "记忆自编辑",
   "level": "l3"
  },
  "CAP_5d84f57d": {
   "en": "Memory Tier Optimization",
   "zh": "记忆层级优化",
   "level": "l3"
  },
  "CAP_fe963c1b": {
   "en": "Video Segment Captioning",
   "zh": "视频片段字幕生成",
   "level": "l2"
  },
  "CAP_8ea29e3a": {
   "en": "Video Segmentation",
   "zh": "视频分段",
   "level": "l3"
  },
  "CAP_9d915850": {
   "en": "VLM Captioning",
   "zh": "VLM字幕生成",
   "level": "l3"
  },
  "CAP_9bb8e960": {
   "en": "Spatio-Temporal Vector Indexing",
   "zh": "时空向量索引存储",
   "level": "l2"
  },
  "CAP_94ad7fed": {
   "en": "Position Encoding",
   "zh": "位置编码",
   "level": "l3"
  },
  "CAP_ac936328": {
   "en": "Time Encoding",
   "zh": "时间编码",
   "level": "l3"
  },
  "CAP_c068f438": {
   "en": "Vector DB Insert",
   "zh": "向量数据库写入",
   "level": "l3"
  },
  "CAP_97c26157": {
   "en": "Multi-Modal Retrieval Routing",
   "zh": "多模态检索路由",
   "level": "l2"
  },
  "CAP_7e44d0d9": {
   "en": "Query Analysis",
   "zh": "查询分析",
   "level": "l3"
  },
  "CAP_55a1c99e": {
   "en": "Iterative Spatio-Temporal Memory Retrieval",
   "zh": "迭代时空记忆检索",
   "level": "l2"
  },
  "CAP_b01bd8e4": {
   "en": "Iterative Retrieval Loop",
   "zh": "迭代检索循环",
   "level": "l3"
  },
  "CAP_34e8c924": {
   "en": "Sufficiency Check",
   "zh": "充分性检查",
   "level": "l3"
  },
  "CAP_f7c66ad2": {
   "en": "Spatio-Temporal Reasoning Answering",
   "zh": "时空推理回答",
   "level": "l2"
  },
  "CAP_13c0592d": {
   "en": "Memory Synthesis",
   "zh": "记忆综合推理",
   "level": "l3"
  },
  "CAP_82bb0dad": {
   "en": "Task Affinity Analysis Transfer",
   "zh": "任务亲和度分析迁移",
   "level": "l2"
  },
  "CAP_af76fb1e": {
   "en": "Task-Specific Encoder Training",
   "zh": "任务特定编码器训练",
   "level": "l3"
  },
  "CAP_6eb048a8": {
   "en": "Pairwise Transfer Network Training",
   "zh": "成对迁移网络训练",
   "level": "l3"
  },
  "CAP_712f545e": {
   "en": "Higher-Order Transfer Composition",
   "zh": "高阶迁移组合",
   "level": "l3"
  },
  "CAP_e6157281": {
   "en": "Transfer Affinity Matrix Computation",
   "zh": "迁移亲和度矩阵计算",
   "level": "l3"
  },
  "CAP_2bbc6f92": {
   "en": "BIP Transfer Strategy Optimization",
   "zh": "BIP 迁移策略优化",
   "level": "l3"
  },
  "CAP_cbf83f32": {
   "en": "Language-Conditioned Multi-Task Policy",
   "zh": "语言条件多任务策略",
   "level": "l2"
  },
  "CAP_14865293": {
   "en": "Multi-Task Demonstration Collection",
   "zh": "多任务演示采集",
   "level": "l3"
  },
  "CAP_c99b346a": {
   "en": "FiLM Conditioning Fusion",
   "zh": "FiLM 条件化融合",
   "level": "l3"
  },
  "CAP_e3952862": {
   "en": "Behavioral Cloning Action Prediction",
   "zh": "行为克隆动作预测",
   "level": "l3"
  },
  "CAP_bb519281": {
   "en": "Zero-Shot Task Generalization",
   "zh": "零样本任务泛化",
   "level": "l3"
  },
  "CAP_7f0b5bd4": {
   "en": "Demonstration-Embedded Few-Shot Transfer",
   "zh": "演示嵌入少样本任务迁移",
   "level": "l2"
  },
  "CAP_cd274fb9": {
   "en": "Demonstration Sequence Encoding",
   "zh": "演示序列编码",
   "level": "l3"
  },
  "CAP_0d032f23": {
   "en": "Task Embedding Projection",
   "zh": "任务嵌入投影",
   "level": "l3"
  },
  "CAP_6f0c8a0b": {
   "en": "Task Embedding Conditioned Control",
   "zh": "任务嵌入条件控制",
   "level": "l3"
  },
  "CAP_7a120001": {
   "en": "Meta-Learning Fast Task Adaptation",
   "zh": "元学习快速任务适应",
   "level": "l2"
  },
  "CAP_7a120002": {
   "en": "Task Distribution Sampling",
   "zh": "任务分布采样",
   "level": "l3"
  },
  "CAP_7a120004": {
   "en": "Inner Loop Gradient Update",
   "zh": "内循环梯度更新",
   "level": "l3"
  },
  "CAP_7a120007": {
   "en": "Meta-Parameter Optimization",
   "zh": "元参数优化",
   "level": "l3"
  },
  "CAP_7a120009": {
   "en": "Few-Shot Policy Adaptation",
   "zh": "少样本策略适应",
   "level": "l3"
  },
  "CAP_d800d8ee": {
   "en": "Second-Order Hessian Meta-Gradient",
   "zh": "二阶Hessian元梯度",
   "level": "l3"
  },
  "CAP_959f4126": {
   "en": "First-Order Meta-Learning Approximation",
   "zh": "一阶元学习近似",
   "level": "l3"
  },
  "CAP_74d5569e": {
   "en": "Full Parameter Finetuning",
   "zh": "全参数微调",
   "level": "l3"
  },
  "CAP_adf6fdf2": {
   "en": "Demo Trajectory Collection",
   "zh": "演示轨迹采集与划分",
   "level": "l3"
  },
  "CAP_6f9ff6bc": {
   "en": "Joint Embedding Control Training",
   "zh": "嵌入-控制联合训练",
   "level": "l3"
  },
  "CAP_5482566f": {
   "en": "Soft Attention Task Descriptor",
   "zh": "软注意力任务描述子",
   "level": "l3"
  },
  "CAP_f3d4a1b2": {
   "en": "Embedding Conditioned Control",
   "zh": "嵌入条件化控制",
   "level": "l3"
  },
  "CAP_083c22d0": {
   "en": "Support/Query Set Division",
   "zh": "Support/Query 集划分",
   "level": "l3"
  },
  "CAP_c3c7b37d": {
   "en": "Task-Specific Loss Computation",
   "zh": "任务特定损失计算",
   "level": "l3"
  },
  "CAP_7a120006": {
   "en": "Meta-Gradient Computation",
   "zh": "元梯度计算与元参数优化",
   "level": "l3"
  },
  "CAP_7a120008": {
   "en": "Task Descriptor Extraction",
   "zh": "任务描述符提取（One-Shot IL）",
   "level": "l3"
  },
  "CAP_7a12000a": {
   "en": "Task-Conditioned Policy Execution",
   "zh": "任务条件化策略执行",
   "level": "l3"
  },
  "CAP_823825a3": {
   "en": "Task-Embedding Conditioned Multi-Task Policy",
   "zh": "任务嵌入条件化多任务策略",
   "level": "l2"
  },
  "CAP_6927a6f8": {
   "en": "Task ID Assignment and Conditioning Annotation",
   "zh": "任务 ID 分配与条件化标注",
   "level": "l3"
  },
  "CAP_7d6375e0": {
   "en": "Task Embedding Injection",
   "zh": "任务嵌入注入",
   "level": "l3"
  },
  "CAP_931cf8bc": {
   "en": "TOLD Joint Training",
   "zh": "TOLD 联合训练",
   "level": "l3"
  },
  "CAP_bcc3460d": {
   "en": "Causal Transformer Action Prediction",
   "zh": "因果 Transformer 动作预测",
   "level": "l3"
  },
  "CAP_667e4667": {
   "en": "New Task Embedding Lookup",
   "zh": "新任务嵌入查找",
   "level": "l3"
  },
  "CAP_7a12000d": {
   "en": "Zero-Shot Task Policy Inference",
   "zh": "零样本任务策略推理",
   "level": "l3"
  },
  "CAP_9e478815": {
   "en": "Skill Primitive Composition for Task Transfer",
   "zh": "技能原语组合迁移",
   "level": "l2"
  },
  "CAP_7a12000e": {
   "en": "Long-Horizon Demonstration Collection",
   "zh": "长程演示收集",
   "level": "l3"
  },
  "CAP_7a120010": {
   "en": "Skill Prior Model Training",
   "zh": "技能先验模型训练",
   "level": "l3"
  },
  "CAP_e528f519": {
   "en": "Skill Prior Regularized RL",
   "zh": "技能先验正则化强化学习",
   "level": "l3"
  },
  "CAP_7a120011": {
   "en": "Unseen Skill Composition Generalization",
   "zh": "未见技能组合泛化",
   "level": "l3"
  },
  "CAP_34926dad": {
   "en": "Task Relationship Structure Modeling for Transfer",
   "zh": "任务关系结构建模迁移",
   "level": "l2"
  },
  "CAP_cc7bbc14": {
   "en": "Independent Source Task Model Training",
   "zh": "独立源任务模型训练",
   "level": "l3"
  },
  "CAP_7a120012": {
   "en": "Task Performance Baseline Recording",
   "zh": "任务性能基线记录",
   "level": "l3"
  },
  "CAP_4821cfd1": {
   "en": "Task Affinity Network Selection",
   "zh": "任务亲和度网络选择（TAG）",
   "level": "l3"
  },
  "CAP_7a120014": {
   "en": "Taskonomy Transfer Graph Visualization",
   "zh": "Taskonomy 迁移图谱可视化",
   "level": "l3"
  },
  "CAP_7a120015": {
   "en": "Optimal Source Task Selection",
   "zh": "最优源任务选择",
   "level": "l3"
  },
  "CAP_7a120016": {
   "en": "Label-Efficient Transfer Learning",
   "zh": "标签高效迁移学习",
   "level": "l3"
  },
  "CAP_0037c101": {
   "en": "Crowdsourced Semantic Map Construction",
   "zh": "众包语义地图构建",
   "level": "l2"
  },
  "CAP_4379a99a": {
   "en": "Road Semantic Feature Extraction",
   "zh": "道路语义特征提取",
   "level": "l3"
  },
  "CAP_d3b20d4b": {
   "en": "Semantic Descriptor Encoding",
   "zh": "语义描述符编码压缩",
   "level": "l3"
  },
  "CAP_f30ad55f": {
   "en": "Crowdsourced Data Aggregation",
   "zh": "众包数据云端聚合",
   "level": "l3"
  },
  "CAP_725d0eb6": {
   "en": "Road Geometry Modeling",
   "zh": "道路几何建模",
   "level": "l3"
  },
  "CAP_9b82f1bd": {
   "en": "Semantic Roadbook Compilation",
   "zh": "语义路书编译",
   "level": "l3"
  },
  "CAP_5cc3224c": {
   "en": "Differential Map Distribution",
   "zh": "差分地图分发",
   "level": "l3"
  },
  "CAP_df1a1802": {
   "en": "Multi-Vehicle Geometry SLAM Map Fusion",
   "zh": "多车几何SLAM地图融合",
   "level": "l2"
  },
  "CAP_98278d82": {
   "en": "Single-Session Pose Graph SLAM",
   "zh": "单Session位姿图SLAM",
   "level": "l3"
  },
  "CAP_3e696cf9": {
   "en": "Geometry Map OTA Distribution",
   "zh": "几何地图OTA分发",
   "level": "l3"
  },
  "CAP_c953060c": {
   "en": "End-to-End Neural Fleet Mapping",
   "zh": "端到端神经车队建图",
   "level": "l2"
  },
  "CAP_c93324eb": {
   "en": "Vectorized Map Prediction",
   "zh": "矢量化地图预测",
   "level": "l3"
  },
  "CAP_2372366c": {
   "en": "Multi-Vehicle Prediction Alignment",
   "zh": "多车预测对齐",
   "level": "l3"
  },
  "CAP_e36506e3": {
   "en": "Prediction Consensus Fusion",
   "zh": "预测一致性融合",
   "level": "l3"
  },
  "CAP_17e26b9a": {
   "en": "Neural Map Distribution",
   "zh": "神经地图分发",
   "level": "l3"
  },
  "CAP_2b69e2bb": {
   "en": "People Flow Vector Field Estimation",
   "zh": "人群流场向量场估计",
   "level": "l2"
  },
  "CAP_668208d2": {
   "en": "Pedestrian Detection for Flow Estimation",
   "zh": "流场估计用行人检测",
   "level": "l3"
  },
  "CAP_bbdc2226": {
   "en": "Crowd Conservation Constraint Enforcement",
   "zh": "人群守恒约束施加",
   "level": "l3"
  },
  "CAP_03c9b45d": {
   "en": "Optical Flow People Flow Coupling",
   "zh": "光流人群流耦合正则",
   "level": "l3"
  },
  "CAP_305fe8f3": {
   "en": "Joint Flow Field Construction",
   "zh": "联合流场构造",
   "level": "l2"
  },
  "CAP_65ea1908": {
   "en": "Goal Attraction Flow Field",
   "zh": "目标吸引流场计算",
   "level": "l3"
  },
  "CAP_2a7ac5a6": {
   "en": "Adaptive Flow Field Fusion",
   "zh": "自适应流场融合",
   "level": "l3"
  },
  "CAP_ba4d1199": {
   "en": "Potential Function Construction",
   "zh": "势函数构造",
   "level": "l3"
  },
  "CAP_0df7697d": {
   "en": "Flow-Following Path Execution",
   "zh": "顺流路径执行",
   "level": "l2"
  },
  "CAP_ba585da3": {
   "en": "Gradient Descent Path Generation",
   "zh": "梯度下降路径生成",
   "level": "l3"
  },
  "CAP_2617d1fa": {
   "en": "Dynamic Obstacle Avoidance Check",
   "zh": "动态障碍物避让检查",
   "level": "l3"
  },
  "CAP_0f72b41c": {
   "en": "Velocity Command Generation",
   "zh": "速度指令生成",
   "level": "l3"
  },
  "CAP_d2c7726c": {
   "en": "Flow-Aware Cost Map Construction",
   "zh": "流场感知代价地图构建",
   "level": "l2"
  },
  "CAP_86979bac": {
   "en": "Flow Cost Quantization",
   "zh": "流场代价量化",
   "level": "l3"
  },
  "CAP_e346f853": {
   "en": "Cost Layer Stacking",
   "zh": "代价层叠加",
   "level": "l3"
  },
  "CAP_b3dfdeb7": {
   "en": "Flow Cost Map Update",
   "zh": "流场代价地图更新",
   "level": "l3"
  },
  "CAP_40d4751d": {
   "en": "Standard Navigation Stack with Flow Layer",
   "zh": "流场增强标准导航栈",
   "level": "l2"
  },
  "CAP_4504468d": {
   "en": "Hybrid A-Star Global Planning",
   "zh": "混合A*全局路径规划",
   "level": "l3"
  },
  "CAP_045071de": {
   "en": "Velocity Command Execution",
   "zh": "速度指令执行",
   "level": "l3"
  },
  "CAP_949b3256": {
   "en": "Pedestrian State Observation",
   "zh": "行人状态观测",
   "level": "l3"
  },
  "CAP_55843ee5": {
   "en": "Flow Feature Extraction",
   "zh": "流场特征提取",
   "level": "l3"
  },
  "CAP_c74bcb9a": {
   "en": "Crowd Flow-Aware DRL Navigation",
   "zh": "人群流场感知DRL导航",
   "level": "l2"
  },
  "CAP_dc59aa28": {
   "en": "Self-Attention Crowd Interaction Modeling",
   "zh": "自注意力人群交互建模",
   "level": "l3"
  },
  "CAP_2e253f9d": {
   "en": "Value Estimation and Action Selection",
   "zh": "值函数估计与动作选择",
   "level": "l3"
  },
  "CAP_87041fdf": {
   "en": "PPO-Based Policy Training Pipeline",
   "zh": "PPO策略训练管线",
   "level": "l2"
  },
  "CAP_70b39178": {
   "en": "Simulation Velocity Execution",
   "zh": "仿真速度执行",
   "level": "l3"
  },
  "CAP_4da04110": {
   "en": "Flow-Aligned Reward Design",
   "zh": "流场对齐奖励设计",
   "level": "l3"
  },
  "CAP_2cf8bd1d": {
   "en": "Crowd Head Tracking Pipeline",
   "zh": "密集人群头部跟踪流水线",
   "level": "l2"
  },
  "CAP_3dc4cbda": {
   "en": "Multi Scale Head Box Detection",
   "zh": "多尺度头部框检测",
   "level": "l3"
  },
  "CAP_8801e709": {
   "en": "Particle Filter Head Motion Prediction",
   "zh": "粒子滤波头部运动预测",
   "level": "l3"
  },
  "CAP_ebab334c": {
   "en": "HSV Color Histogram Re-Identification",
   "zh": "HSV 颜色直方图重识别",
   "level": "l3"
  },
  "CAP_ed2d81ea": {
   "en": "Head Track Lifecycle Management",
   "zh": "头部轨迹生命周期管理",
   "level": "l3"
  },
  "CAP_6ef5195c": {
   "en": "IDEucl Tracking Metric",
   "zh": "IDEucl 图像坐标轨迹覆盖度量",
   "level": "l3"
  },
  "CAP_29bbd34c": {
   "en": "Crowd TBD Occlusion Tracking",
   "zh": "密集人群遮挡感知TBD跟踪",
   "level": "l2"
  },
  "CAP_0596be5d": {
   "en": "YOLOX Detection for MOT",
   "zh": "YOLOX 多目标跟踪检测",
   "level": "l3"
  },
  "CAP_785dd192": {
   "en": "ByteTrack Two-Stage Association Pipeline",
   "zh": "ByteTrack 两阶段关联流水线",
   "level": "l3"
  },
  "CAP_4e56cf61": {
   "en": "Kalman Filter Motion Prediction for Tracking",
   "zh": "Kalman 滤波运动预测跟踪",
   "level": "l3"
  },
  "CAP_8d4c6a29": {
   "en": "Observation-Centric Re-Update",
   "zh": "观测中心重更新（OCM+ORU）",
   "level": "l3"
  },
  "CAP_5b7e3f12": {
   "en": "Camera Motion Compensation",
   "zh": "相机运动补偿",
   "level": "l3"
  },
  "CAP_e53a529e": {
   "en": "ReID-enhanced Cascade Association",
   "zh": "ReID 增强级联关联",
   "level": "l3"
  },
  "CAP_2cf2c3c4": {
   "en": "MOT Challenge Benchmark Evaluation",
   "zh": "MOT 挑战赛基准评测",
   "level": "l3"
  },
  "CAP_f177e6da": {
   "en": "Transformer-based End-to-End Tracking",
   "zh": "Transformer 端到端多目标跟踪",
   "level": "l2"
  },
  "CAP_1bebcfda": {
   "en": "Track Query Mechanism",
   "zh": "Track Query 轨迹查询机制",
   "level": "l3"
  },
  "CAP_0c84c749": {
   "en": "Tracklet-Aware Label Assignment",
   "zh": "轨迹感知标签分配",
   "level": "l3"
  },
  "CAP_85210581": {
   "en": "Query Interaction Module - Lifecycle Management",
   "zh": "QIM 轨迹生命周期管理",
   "level": "l3"
  },
  "CAP_36bb4160": {
   "en": "Temporal Aggregation Network",
   "zh": "时序聚合网络",
   "level": "l3"
  },
  "CAP_bb259046": {
   "en": "Collective Average Loss",
   "zh": "集体平均损失",
   "level": "l3"
  },
  "CAP_16d957a5": {
   "en": "Deformable DETR Backbone for MOT",
   "zh": "Deformable DETR 多目标跟踪骨干",
   "level": "l3"
  },
  "CAP_4fb111eb": {
   "en": "DanceTrack Benchmark",
   "zh": "DanceTrack 多目标跟踪基准",
   "level": "l3"
  },
  "CAP_8f3cde5e": {
   "en": "Point-to-Point Crowd Localization",
   "zh": "点对点人群定位",
   "level": "l2"
  },
  "CAP_449f7dfc": {
   "en": "FIDT Map Crowd Localization",
   "zh": "FIDT 地图人群定位",
   "level": "l2"
  },
  "CAP_f0d16698": {
   "en": "Transformer-based Crowd Localization",
   "zh": "Transformer 人群定位",
   "level": "l2"
  },
  "CAP_3428dfda": {
   "en": "Confidence Threshold Point Filtering",
   "zh": "置信度阈值过滤",
   "level": "l3"
  },
  "CAP_633d79cd": {
   "en": "FPN Multi-Scale Feature Fusion",
   "zh": "FPN 多尺度特征融合",
   "level": "l3"
  },
  "CAP_b3bcb7a6": {
   "en": "Anchor Point Grid Generation",
   "zh": "锚点网格生成",
   "level": "l3"
  },
  "CAP_3fb0b2c8": {
   "en": "Dual-Branch Point Prediction Head",
   "zh": "双分支点预测头",
   "level": "l3"
  },
  "CAP_25dbaf06": {
   "en": "Hungarian One-to-One Point Matching",
   "zh": "匈牙利一对一匹配",
   "level": "l3"
  },
  "CAP_4b705d4e": {
   "en": "Density Normalized Average Precision (nAP)",
   "zh": "密度归一化平均精度评估",
   "level": "l3"
  },
  "CAP_4a5e8bce": {
   "en": "FIDT Map Ground Truth Generation",
   "zh": "FIDT 真值图生成",
   "level": "l3"
  },
  "CAP_3db3decd": {
   "en": "FIDT Map Regression Network",
   "zh": "FIDT 地图回归网络",
   "level": "l3"
  },
  "CAP_bf14296f": {
   "en": "Independent SSIM Loss",
   "zh": "独立 SSIM 损失",
   "level": "l3"
  },
  "CAP_51f56712": {
   "en": "Local Maxima Detection Strategy (LMDS)",
   "zh": "局部极大值检测策略",
   "level": "l3"
  },
  "CAP_6bfe0233": {
   "en": "Feature Map Flattening with Position Encoding",
   "zh": "特征图展平与位置编码",
   "level": "l3"
  },
  "CAP_0ae484d9": {
   "en": "Learnable Query Embeddings Initialization",
   "zh": "可学习查询嵌入初始化",
   "level": "l3"
  },
  "CAP_df8c891d": {
   "en": "Transformer Decoder Set Prediction",
   "zh": "Transformer 解码器集合预测",
   "level": "l3"
  },
  "CAP_82492137": {
   "en": "KMO-based Hungarian Matching",
   "zh": "KMO 匈牙利匹配",
   "level": "l3"
  },
  "CAP_1f0e2245": {
   "en": "PhysX 5 GPU Scene Setup",
   "zh": "PhysX 5 GPU 场景初始化",
   "level": "l2"
  },
  "CAP_0f76ed58": {
   "en": "PhysX 5 GPU Simulation Pipeline",
   "zh": "PhysX 5 GPU 仿真管线",
   "level": "l2"
  },
  "CAP_f45c53e4": {
   "en": "PhysX CUDA Context Initialization",
   "zh": "PhysX CUDA 上下文初始化",
   "level": "l3"
  },
  "CAP_819c78c0": {
   "en": "PhysX GPU Scene Creation",
   "zh": "PhysX GPU 物理场景创建",
   "level": "l3"
  },
  "CAP_de32510b": {
   "en": "PhysX Physics Material Configuration",
   "zh": "PhysX 物理材质配置",
   "level": "l3"
  },
  "CAP_a6b55734": {
   "en": "PhysX Actor Loading and Shape",
   "zh": "PhysX Actor 加载与 Shape 分配",
   "level": "l3"
  },
  "CAP_371a555b": {
   "en": "PhysX GPU Broad Phase Collision",
   "zh": "PhysX GPU 宽相碰撞检测",
   "level": "l3"
  },
  "CAP_e85a3a39": {
   "en": "PhysX GPU Narrow Phase Contact",
   "zh": "PhysX GPU 窄相接触生成",
   "level": "l3"
  },
  "CAP_062f5afa": {
   "en": "PhysX TGS Constraint Solving",
   "zh": "PhysX TGS 约束求解",
   "level": "l3"
  },
  "CAP_caaf07a2": {
   "en": "PhysX GPU Articulation Solving",
   "zh": "PhysX GPU 关节系统求解",
   "level": "l3"
  },
  "CAP_b919f010": {
   "en": "PhysX GPU Semi-Implicit Integration",
   "zh": "PhysX GPU 半隐式积分",
   "level": "l3"
  },
  "CAP_555b88df": {
   "en": "PhysX Fetch Results and State Sync",
   "zh": "PhysX 结果获取与状态同步",
   "level": "l3"
  },
  "CAP_7ae4af80": {
   "en": "Warp GPU Kernel Execution",
   "zh": "Warp GPU 内核执行",
   "level": "l2"
  },
  "CAP_5a3cee5a": {
   "en": "Warp GPU Physics Simulation Pipeline",
   "zh": "Warp GPU 物理仿真管线",
   "level": "l2"
  },
  "CAP_9654bafe": {
   "en": "Warp Differentiable Physics via Tape",
   "zh": "Warp 可微物理（Tape反向传播）",
   "level": "l3"
  },
  "CAP_2bcbca91": {
   "en": "Warp Runtime Initialization and Device Selection",
   "zh": "Warp 运行时初始化与设备选择",
   "level": "l3"
  },
  "CAP_348ee230": {
   "en": "Warp Kernel Definition and JIT Compilation",
   "zh": "Warp 内核定义与 JIT 编译",
   "level": "l3"
  },
  "CAP_10b56d4d": {
   "en": "Warp Kernel Launch",
   "zh": "Warp 内核启动",
   "level": "l3"
  },
  "CAP_f792f880": {
   "en": "Warp Physics Model Construction with ModelBuilder",
   "zh": "Warp 物理模型构建（ModelBuilder）",
   "level": "l3"
  },
  "CAP_b8497bdd": {
   "en": "Warp Simulation Step with Integrator",
   "zh": "Warp 仿真步进（积分器）",
   "level": "l3"
  },
  "CAP_c6e51a3c": {
   "en": "Warp GPU Collision Pipeline",
   "zh": "Warp GPU 碰撞管线",
   "level": "l3"
  },
  "CAP_f3a413ce": {
   "en": "Warp Constraint Solving Kernel",
   "zh": "Warp 约束求解内核",
   "level": "l3"
  },
  "CAP_f08d61ce": {
   "en": "Warp Featherstone GPU Articulation Dynamics",
   "zh": "Warp Featherstone GPU 关节动力学",
   "level": "l3"
  },
  "CAP_3668745f": {
   "en": "Warp Integration Kernel",
   "zh": "Warp 积分内核",
   "level": "l3"
  },
  "CAP_41b020d1": {
   "en": "Warp CUDA Graph Capture for Simulation",
   "zh": "Warp 仿真 CUDA Graph 捕获",
   "level": "l3"
  },
  "CAP_d2be3a3c": {
   "en": "Warp ML Framework Zero-copy Interop",
   "zh": "Warp 与 ML 框架零拷贝互操作",
   "level": "l3"
  },
  "CAP_0ec0f8dd": {
   "en": "GPU Batched MuJoCo Simulation",
   "zh": "GPU 批量 MuJoCo 仿真",
   "level": "l3"
  },
  "CAP_17de7af4": {
   "en": "MJX Functional Physics Pipeline",
   "zh": "MJX 函数式物理管线",
   "level": "l2"
  },
  "CAP_2fa4ed7a": {
   "en": "MJX Model Transfer to JAX Pytree",
   "zh": "MJX 模型转 JAX Pytree",
   "level": "l3"
  },
  "CAP_563fe268": {
   "en": "JAX XLA Compilation for Batched Physics",
   "zh": "JAX XLA 编译批量物理步进",
   "level": "l3"
  },
  "CAP_b1923795": {
   "en": "MJX Batched Parallel Simulation with vmap",
   "zh": "MJX 批量并行仿真（vmap）",
   "level": "l3"
  },
  "CAP_9c82c4b0": {
   "en": "Differentiable Physics with jax.grad",
   "zh": "JAX 可微物理（jax.grad）",
   "level": "l3"
  },
  "CAP_a08d14b0": {
   "en": "Brax Pipeline Selection and Env API",
   "zh": "Brax 管线选择与环境 API",
   "level": "l3"
  },
  "CAP_7d8a238f": {
   "en": "Batched Physics Jacobian Mode Selection",
   "zh": "批量求解器 Jacobian 模式选择",
   "level": "l3"
  },
  "CAP_e76a3ca0": {
   "en": "Cultural Proxemic Parameterization",
   "zh": "文化近距参数化",
   "level": "l2"
  },
  "CAP_94ad1fc8": {
   "en": "Cultural Context Detection",
   "zh": "文化上下文检测",
   "level": "l3"
  },
  "CAP_25983041": {
   "en": "Cultural Proxemic Costmap Layer",
   "zh": "文化近距代价图层",
   "level": "l3"
  },
  "CAP_d971b98a": {
   "en": "Cultural Navigation Planning",
   "zh": "文化导航规划",
   "level": "l3"
  },
  "CAP_83e4ef84": {
   "en": "Cultural Compliance Monitor",
   "zh": "文化合规监控",
   "level": "l3"
  },
  "CAP_8b4911d7": {
   "en": "Culture-Conditioned Navigation Policy",
   "zh": "文化条件导航策略",
   "level": "l2"
  },
  "CAP_e6107416": {
   "en": "Cultural Training Data Generation",
   "zh": "文化训练数据生成",
   "level": "l3"
  },
  "CAP_03e7e9a0": {
   "en": "Cultural Embedding Encoding",
   "zh": "文化嵌入编码",
   "level": "l3"
  },
  "CAP_ec891b8b": {
   "en": "Culture-Conditioned Policy Training",
   "zh": "文化条件策略训练",
   "level": "l3"
  },
  "CAP_f54cc5de": {
   "en": "Culture-Conditioned Policy Inference",
   "zh": "文化条件策略推理",
   "level": "l3"
  },
  "CAP_2d58c41d": {
   "en": "Cross-Cultural Generalization Evaluation",
   "zh": "跨文化泛化评估",
   "level": "l3"
  },
  "CAP_7829c0f0": {
   "en": "LLM-Based Cultural Navigation Inference",
   "zh": "LLM 驱动文化导航推理",
   "level": "l2"
  },
  "CAP_d0130638": {
   "en": "LLM Cultural Context Reasoning",
   "zh": "LLM 文化上下文推理",
   "level": "l3"
  },
  "CAP_37b789a7": {
   "en": "LLM Navigation Parameter Generation",
   "zh": "LLM 导航参数生成",
   "level": "l3"
  },
  "CAP_7e69fc80": {
   "en": "LLM Parameter Injection Adapter",
   "zh": "LLM 参数注入适配器",
   "level": "l3"
  },
  "CAP_a3678892": {
   "en": "LLM Closed-Loop Verification",
   "zh": "LLM 闭环验证",
   "level": "l3"
  },
  "CAP_e291f831": {
   "en": "Cultural Parameter Cache",
   "zh": "文化参数缓存",
   "level": "l3"
  },
  "CAP_d8e11080": {
   "en": "Cultural Context Resolution",
   "zh": "文化上下文解析",
   "level": "l3"
  },
  "CAP_39e7c4f9": {
   "en": "Hall Proxemics Distance Adjustment",
   "zh": "Hall Proxemics 文化距离调整",
   "level": "l3"
  },
  "CAP_68cfcf15": {
   "en": "Cultural Behavior Conflict Resolution",
   "zh": "文化行为参数冲突解决",
   "level": "l3"
  },
  "CAP_78ab04a1": {
   "en": "Behavior Parameter to NAOqi Translation",
   "zh": "行为参数到 NAOqi 指令转换",
   "level": "l3"
  },
  "CAP_c679743b": {
   "en": "Multimodal Social Behavior Synchronization",
   "zh": "多模态社交行为同步执行",
   "level": "l3"
  },
  "CAP_12bcc8b4": {
   "en": "Cultural Context Prompt Engineering",
   "zh": "文化上下文 Prompt 工程",
   "level": "l3"
  },
  "CAP_3029cc87": {
   "en": "Cultural Behavior Parameter Parsing",
   "zh": "文化行为参数结构化解析",
   "level": "l3"
  },
  "CAP_e6822557": {
   "en": "LLM Inference Fallback and Degradation",
   "zh": "LLM 推理回退与降级",
   "level": "l3"
  },
  "CAP_e69084cf": {
   "en": "Cross-Cultural HRI Data Collection",
   "zh": "跨文化 HRI 数据采集与标注",
   "level": "l3"
  },
  "CAP_e1bcbf05": {
   "en": "Cultural Feature Embedding Learning",
   "zh": "文化特征嵌入学习",
   "level": "l3"
  },
  "CAP_3cdfdd2c": {
   "en": "Culture-Adaptive Policy Learning",
   "zh": "文化适应性行为策略学习",
   "level": "l2"
  },
  "CAP_d3f88ac9": {
   "en": "Cross-Cultural Policy Generalization Validation",
   "zh": "策略跨文化泛化验证",
   "level": "l3"
  },
  "CAP_9e5131b9": {
   "en": "Interaction Feedback Loop Closure",
   "zh": "交互反馈闭环学习",
   "level": "l3"
  },
  "CAP_f1620e92": {
   "en": "Behavior Execution Framework",
   "zh": "行为执行框架",
   "level": "l2"
  },
  "CAP_cd77bd6f": {
   "en": "Cultural Dimension Lookup",
   "zh": "文化维度查询",
   "level": "l3"
  },
  "CAP_e488501d": {
   "en": "Cultural Behavior Parameter Mapping",
   "zh": "文化行为参数映射",
   "level": "l2"
  },
  "CAP_2bd49248": {
   "en": "Cultural Parameter Fusion and Validation",
   "zh": "文化参数融合与校验",
   "level": "l3"
  },
  "CAP_f283a02a": {
   "en": "Cultural Online Feedback Adaptation",
   "zh": "文化在线反馈适应",
   "level": "l3"
  },
  "CAP_79d7a1ac": {
   "en": "Cultural Proxemics Modulation",
   "zh": "文化社交距离调制",
   "level": "l3"
  },
  "CAP_ac69b0aa": {
   "en": "Cultural Greeting Modulation",
   "zh": "文化问候行为调制",
   "level": "l3"
  },
  "CAP_e4901ae3": {
   "en": "Cultural Gaze Modulation",
   "zh": "文化眼神接触调制",
   "level": "l3"
  },
  "CAP_c633c5b5": {
   "en": "Cultural Gesture Modulation",
   "zh": "文化手势幅度调制",
   "level": "l3"
  },
  "CAP_8f51de28": {
   "en": "Cultural Speech Formality Modulation",
   "zh": "文化言语正式度调制",
   "level": "l3"
  },
  "CAP_1e4748ee": {
   "en": "LLM Output Structured Parsing",
   "zh": "LLM输出结构化解析",
   "level": "l3"
  },
  "CAP_a0de6d93": {
   "en": "LLM Cultural Knowledge RAG",
   "zh": "LLM文化知识RAG检索",
   "level": "l3"
  },
  "CAP_96964adb": {
   "en": "Culture-Conditioned Policy Learning",
   "zh": "文化条件策略学习",
   "level": "l2"
  },
  "CAP_d7f8f859": {
   "en": "Cultural Behavior Feature Extraction",
   "zh": "文化行为特征提取",
   "level": "l3"
  },
  "CAP_a14335d5": {
   "en": "Cultural Preference Learning",
   "zh": "文化偏好学习",
   "level": "l3"
  },
  "CAP_11b63d01": {
   "en": "Cultural Few-Shot Adaptation",
   "zh": "文化少样本适应",
   "level": "l3"
  },
  "CAP_49f1ae3c": {
   "en": "ActuatorCommandExecution",
   "zh": "执行器指令执行",
   "level": "l3"
  },
  "CAP_d612aac4": {
   "en": "Inverse Dynamics Training",
   "zh": "逆动力学训练",
   "level": "l3"
  },
  "CAP_771b79c2": {
   "en": "ICM Forward Dynamics Prediction",
   "zh": "ICM前向动力学预测",
   "level": "l3"
  },
  "CAP_808b6c52": {
   "en": "Intrinsic Reward Normalization",
   "zh": "内在奖励归一化",
   "level": "l3"
  },
  "CAP_603e8c5d": {
   "en": "RND Predictor Training",
   "zh": "RND预测器训练",
   "level": "l3"
  },
  "CAP_ecee8966": {
   "en": "Zero-Shot Task Adaptation",
   "zh": "零样本任务适应",
   "level": "l3"
  },
  "CAP_688ba979": {
   "en": "RND Observation Normalization",
   "zh": "RND观测归一化",
   "level": "l3"
  },
  "CAP_f9dea7c1": {
   "en": "RND Target Feature Extraction",
   "zh": "RND目标特征生成",
   "level": "l3"
  },
  "CAP_8cc8fb12": {
   "en": "Dual Value Head Reward Fusion",
   "zh": "双价值头内外奖励融合",
   "level": "l3"
  },
  "CAP_8c62dd06": {
   "en": "Current Threshold Collision Detection Pipeline",
   "zh": "纯电流阈值碰撞检测流水线",
   "level": "l2"
  },
  "CAP_0a105a2a": {
   "en": "Learning-Based Current Anomaly Detection Pipeline",
   "zh": "学习型电机电流异常检测流水线",
   "level": "l2"
  },
  "CAP_54db4aee": {
   "en": "Motor Current Torque Threshold Gate",
   "zh": "电机相电流估计扭矩阈值门控与控制器集成",
   "level": "l3"
  },
  "CAP_c766ec3c": {
   "en": "Observer Dynamics Modeling",
   "zh": "观测器状态采集与刚体动力学在线建模",
   "level": "l3"
  },
  "CAP_ef9069bd": {
   "en": "Normal Torque Training Dataset Construction",
   "zh": "正常力矩训练数据集构建",
   "level": "l3"
  },
  "CAP_420c8bf1": {
   "en": "Time-Series Reconstruction Anomaly Detection Training",
   "zh": "时序重构异常检测模型训练",
   "level": "l3"
  },
  "CAP_f92fc577": {
   "en": "Anomaly Score Inference",
   "zh": "在线异常分数模型推理",
   "level": "l3"
  },
  "CAP_000f13bc": {
   "en": "Online Time-Series Anomaly Score Inference",
   "zh": "在线时序异常分数推理",
   "level": "l3"
  },
  "CAP_b31c594e": {
   "en": "Reconstruction-Based Time Series Anomaly Detection",
   "zh": "重构误差型时序异常检测",
   "level": "l3"
  },
  "CAP_73f4006d": {
   "en": "Association Discrepancy Time Series Anomaly Detection",
   "zh": "关联差异型时序异常检测",
   "level": "l3"
  },
  "CAP_ad23a045": {
   "en": "Graph Neural Network Time Series Anomaly Detection",
   "zh": "图神经网络型时序异常检测",
   "level": "l3"
  },
  "CAP_20ced216": {
   "en": "Encoder Calibration",
   "zh": "编码器校准",
   "level": "l3"
  },
  "CAP_b90adcd5": {
   "en": "Current Sense Calibration",
   "zh": "电流传感器标定",
   "level": "l3"
  },
  "CAP_0adb9475": {
   "en": "FOC Current Loop Torque Control",
   "zh": "FOC 电流环力矩控制",
   "level": "l2"
  },
  "CAP_5822818a": {
   "en": "Clarke Transform",
   "zh": "Clarke 变换",
   "level": "l3"
  },
  "CAP_deae0121": {
   "en": "Park Transform",
   "zh": "Park 变换",
   "level": "l3"
  },
  "CAP_18c938bd": {
   "en": "Inverse Park Transform",
   "zh": "逆 Park 变换",
   "level": "l3"
  },
  "CAP_ce76151f": {
   "en": "SVPWM Modulation",
   "zh": "SVPWM 调制",
   "level": "l3"
  },
  "CAP_76a37d44": {
   "en": "PWM Output with Dead-Time Insertion",
   "zh": "PWM 输出与死区插入",
   "level": "l3"
  },
  "CAP_153ce167": {
   "en": "QDD Actuator Design",
   "zh": "QDD 执行器设计",
   "level": "l2"
  },
  "CAP_55e00abd": {
   "en": "High Torque Density Motor Selection",
   "zh": "高扭矩密度电机选型",
   "level": "l3"
  },
  "CAP_ff582f7f": {
   "en": "Gear Ratio Selection",
   "zh": "减速比选型",
   "level": "l3"
  },
  "CAP_15bc4899": {
   "en": "Actuator Mechanical Integration",
   "zh": "执行器机械集成",
   "level": "l3"
  },
  "CAP_28fe2e5a": {
   "en": "Current-Torque Calibration",
   "zh": "电流-力矩标定",
   "level": "l2"
  },
  "CAP_367bd244": {
   "en": "Motor Constant Measurement",
   "zh": "力矩常数测量",
   "level": "l3"
  },
  "CAP_e6d8c076": {
   "en": "Transmission Efficiency Calibration",
   "zh": "传动效率标定",
   "level": "l3"
  },
  "CAP_a71a4e27": {
   "en": "Current-Torque Mapping",
   "zh": "电流-力矩映射",
   "level": "l3"
  },
  "CAP_30d1ca7e": {
   "en": "Joint Torque Feedback",
   "zh": "关节力矩反馈计算",
   "level": "l3"
  },
  "CAP_ceea2e36": {
   "en": "Transmission System Modeling",
   "zh": "传动系统建模",
   "level": "l2"
  },
  "CAP_a42db462": {
   "en": "Friction Model Identification",
   "zh": "摩擦模型辨识",
   "level": "l3"
  },
  "CAP_c1930632": {
   "en": "Inertia Parameter Estimation",
   "zh": "惯量参数估计",
   "level": "l3"
  },
  "CAP_9bddb2d7": {
   "en": "Current-Based Torque Estimation",
   "zh": "电流式力矩估计",
   "level": "l2"
  },
  "CAP_bbe2b2ba": {
   "en": "Friction Torque Compensation",
   "zh": "摩擦力矩补偿",
   "level": "l3"
  },
  "CAP_0c4b7bd1": {
   "en": "Inertia Torque Compensation",
   "zh": "惯量力矩补偿",
   "level": "l3"
  },
  "CAP_b66df256": {
   "en": "Joint Torque Estimation",
   "zh": "关节力矩估计",
   "level": "l3"
  },
  "CAP_bb93920d": {
   "en": "Compensated Torque Control",
   "zh": "补偿力矩控制",
   "level": "l3"
  },
  "CAP_7315beee": {
   "en": "Real-Time Current Estimation and Disturbance Rejection",
   "zh": "实时洋流估计与抗扰路径跟踪",
   "level": "l2"
  },
  "CAP_d8f54c63": {
   "en": "DVL Water-Track Bottom-Track Differential Current Measurement",
   "zh": "DVL水层-底跟踪差分测流",
   "level": "l3"
  },
  "CAP_7764ee58": {
   "en": "EKF State Augmentation Current Estimation",
   "zh": "EKF状态增广洋流估计",
   "level": "l3"
  },
  "CAP_295b361f": {
   "en": "Current Feedforward Compensation",
   "zh": "洋流前馈补偿",
   "level": "l3"
  },
  "CAP_c57c516d": {
   "en": "Current-Aware Thrust Allocation",
   "zh": "抗流推力分配",
   "level": "l3"
  },
  "CAP_5c22db80": {
   "en": "Nonlinear Current Observer",
   "zh": "非线性洋流观测器",
   "level": "l3"
  },
  "CAP_b4700336": {
   "en": "Model-Based Underwater Control",
   "zh": "基于模型的水下控制",
   "level": "l3"
  },
  "CAP_90971bd5": {
   "en": "Model-Based FL Hovering Controller",
   "zh": "模型基反馈线性化悬停控制器",
   "level": "l3"
  },
  "CAP_247943e7": {
   "en": "FL Control Law",
   "zh": "反馈线性化控制律",
   "level": "l3"
  },
  "CAP_0d09e10d": {
   "en": "PD Error Dynamic",
   "zh": "PD误差动态",
   "level": "l3"
  },
  "CAP_b07ebab4": {
   "en": "Current Disturbance Observer",
   "zh": "洋流扰动观测器",
   "level": "l3"
  },
  "CAP_0e539f1e": {
   "en": "Disturbance-Accommodating State Estimation",
   "zh": "扰动自适应状态估计",
   "level": "l3"
  },
  "CAP_a2294fbe": {
   "en": "Adaptive Backstepping Current Compensation",
   "zh": "自适应反步洋流补偿",
   "level": "l3"
  },
  "CAP_c59cf5c8": {
   "en": "Backstepping-SMC Robust Control Law",
   "zh": "反步-滑模鲁棒控制律合成",
   "level": "l3"
  },
  "CAP_9ab8202e": {
   "en": "Fossen 6DOF Hydrodynamic Simulation Pipeline",
   "zh": "Fossen 6DOF水动力仿真管线",
   "level": "l3"
  },
  "CAP_3fef2f68": {
   "en": "Teacher-Student Multi-Robot Task Curriculum",
   "zh": "教师-学生多机器人任务课程",
   "level": "l2"
  },
  "CAP_004eb5eb": {
   "en": "Multi-Robot Cooperative Task Pool Construction",
   "zh": "多机器人协作任务池构建",
   "level": "l3"
  },
  "CAP_30546f93": {
   "en": "Multi-Robot Team Learning Progress Estimation",
   "zh": "多机器人团队学习进度估计",
   "level": "l3"
  },
  "CAP_a9076f76": {
   "en": "Heuristic Progress-Driven Teacher Curriculum",
   "zh": "启发式进度驱动教师课程",
   "level": "l3"
  },
  "CAP_1384f0b9": {
   "en": "Absolute-Slope Anti-Forgetting Sampling",
   "zh": "绝对斜率反遗忘采样",
   "level": "l3"
  },
  "CAP_05f79860": {
   "en": "Self-Play Multi-Robot Training Loop",
   "zh": "自博弈多机器人训练循环",
   "level": "l2"
  },
  "CAP_01c5630a": {
   "en": "Dual-Population Policy Initialization",
   "zh": "双种群策略初始化",
   "level": "l3"
  },
  "CAP_336a4d3f": {
   "en": "Opponent Pool Management (PSRO)",
   "zh": "PSRO 对手池管理",
   "level": "l3"
  },
  "CAP_25565c03": {
   "en": "Emergent Behavior Transfer Evaluation",
   "zh": "涌现行为迁移评估",
   "level": "l3"
  },
  "CAP_144574ff": {
   "en": "Staged Environment Curriculum for Multi-Robot",
   "zh": "分阶段环境多机器人课程",
   "level": "l2"
  },
  "CAP_6af64d7b": {
   "en": "Cross-Stage Policy Transfer",
   "zh": "跨阶段策略迁移",
   "level": "l3"
  },
  "CAP_96704a9a": {
   "en": "SubT Virtual Testbed Boot",
   "zh": "SubT 虚拟测试床启动",
   "level": "l3"
  },
  "CAP_3f6c6113": {
   "en": "Incremental Team-Size Curriculum",
   "zh": "渐进团队规模课程",
   "level": "l2"
  },
  "CAP_a2c7e0e6": {
   "en": "Population-Invariant Policy Network",
   "zh": "置换不变策略网络",
   "level": "l3"
  },
  "CAP_00ca3538": {
   "en": "Zero-Shot Scale-Up Evaluation",
   "zh": "zero-shot 规模泛化评估",
   "level": "l3"
  },
  "CAP_5ae434b2": {
   "en": "Game-Inspired Terrain Curriculum",
   "zh": "游戏启发式地形课程",
   "level": "l3"
  },
  "CAP_d426687b": {
   "en": "Contact-Enhanced Simulation with Terrain Randomization",
   "zh": "接触增强仿真与地形随机化",
   "level": "l3"
  },
  "CAP_c175e4e0": {
   "en": "ALP-GMM Teacher-Student Curriculum",
   "zh": "ALP-GMM 教师学生课程",
   "level": "l2"
  },
  "CAP_3a3e3096": {
   "en": "Learning-Progress-Weighted Sampling",
   "zh": "学习进度加权采样",
   "level": "l3"
  },
  "CAP_dde76f88": {
   "en": "GMM-Based Competence-Progress Modeling",
   "zh": "GMM 能力进度建模",
   "level": "l3"
  },
  "CAP_3bf5c620": {
   "en": "Parameterized Procedural Task Generation",
   "zh": "参数化程序任务生成",
   "level": "l3"
  },
  "CAP_190a65e5": {
   "en": "SAC Off-Policy Student Training",
   "zh": "SAC 离策略学生训练",
   "level": "l3"
  },
  "CAP_2ba75463": {
   "en": "UED Adversarial Environment Curriculum",
   "zh": "UED 对抗式环境课程",
   "level": "l2"
  },
  "CAP_9f0b39d0": {
   "en": "Adversarial Environment Parameterization",
   "zh": "对抗式环境参数化",
   "level": "l3"
  },
  "CAP_dac3249f": {
   "en": "PPO Agent Training",
   "zh": "PPO 智能体训练",
   "level": "l3"
  },
  "CAP_1e9274f9": {
   "en": "Regret Estimation",
   "zh": "遗憾估计",
   "level": "l3"
  },
  "CAP_d20d24b6": {
   "en": "Prioritized Level Replay",
   "zh": "优先关卡回放",
   "level": "l3"
  },
  "CAP_b8838324": {
   "en": "Evolutionary Level Mutation",
   "zh": "进化式关卡变异",
   "level": "l3"
  },
  "CAP_8f7ba999": {
   "en": "Metric Taxonomy",
   "zh": "指标分类体系",
   "level": "l3"
  },
  "CAP_037f5481": {
   "en": "Metadata Definition",
   "zh": "元数据定义",
   "level": "l3"
  },
  "CAP_9542fb3d": {
   "en": "Prometheus Client Builtin",
   "zh": "Prometheus客户端内置",
   "level": "l3"
  },
  "CAP_21806ffb": {
   "en": "Exporter Encapsulation",
   "zh": "导出器封装",
   "level": "l3"
  },
  "CAP_f489a79d": {
   "en": "Sidecar Aggregation",
   "zh": "边车聚合",
   "level": "l3"
  },
  "CAP_da076ccf": {
   "en": "Time Series Database Storage",
   "zh": "时序数据库存储",
   "level": "l3"
  },
  "CAP_a4d4485b": {
   "en": "Query Dashboard",
   "zh": "查询仪表盘",
   "level": "l3"
  },
  "CAP_d544d253": {
   "en": "Metrics Design and Classification",
   "zh": "指标设计与分类",
   "level": "l1"
  },
  "CAP_d794d443": {
   "en": "Metrics Naming Convention",
   "zh": "指标命名规范",
   "level": "l1"
  },
  "CAP_5542bc20": {
   "en": "Metrics Instrumentation and Exposure",
   "zh": "指标采集与暴露",
   "level": "l1"
  },
  "CAP_5e65fd78": {
   "en": "Client Library Integration",
   "zh": "客户端库集成",
   "level": "l1"
  },
  "CAP_978e8045": {
   "en": "Metrics Endpoint Exposure",
   "zh": "指标端点暴露",
   "level": "l1"
  },
  "CAP_f0f15c70": {
   "en": "Metrics Query and Dashboard",
   "zh": "指标查询与仪表盘",
   "level": "l1"
  },
  "CAP_fea08158": {
   "en": "Evaluation Dimension Definition",
   "zh": "评估维度定义",
   "level": "l3"
  },
  "CAP_4e214b02": {
   "en": "Metric Threshold Setting",
   "zh": "指标阈值设定",
   "level": "l3"
  },
  "CAP_e9db5237": {
   "en": "Task Test Bank Construction",
   "zh": "任务测试库构建",
   "level": "l3"
  },
  "CAP_fade453f": {
   "en": "Evaluation Data Collection",
   "zh": "评估数据采集",
   "level": "l3"
  },
  "CAP_b3d5a43f": {
   "en": "Metric Computation",
   "zh": "指标计算",
   "level": "l3"
  },
  "CAP_29d4c7f5": {
   "en": "Evaluation Report Generation",
   "zh": "评估报告生成",
   "level": "l3"
  },
  "CAP_e8e59be8": {
   "en": "Failure Mode Analysis",
   "zh": "失败模式分析",
   "level": "l3"
  },
  "CAP_98d71a69": {
   "en": "Regression Testing and Trend Tracking",
   "zh": "回归测试与趋势跟踪",
   "level": "l3"
  },
  "CAP_5a68013f": {
   "en": "Reliability Metric Definition",
   "zh": "可靠性指标定义",
   "level": "l3"
  },
  "CAP_42532df1": {
   "en": "Safety Metric Definition",
   "zh": "安全指标定义",
   "level": "l3"
  },
  "CAP_a5d76d9a": {
   "en": "Component Health Metric Definition",
   "zh": "部件健康指标定义",
   "level": "l3"
  },
  "CAP_83106b32": {
   "en": "Alert Rule Management",
   "zh": "告警规则管理",
   "level": "l3"
  },
  "CAP_38f69c46": {
   "en": "Preventive Maintenance Planning",
   "zh": "预防性维护计划",
   "level": "l3"
  },
  "CAP_dc43ab41": {
   "en": "FEM Mesh Cutting Topology Modification",
   "zh": "FEM 网格切割拓扑修改",
   "level": "l3"
  },
  "CAP_8ec81b86": {
   "en": "Taichi MPM Elastomer Solver Configuration",
   "zh": "Taichi MPM 弹性体求解器配置",
   "level": "l3"
  },
  "CAP_a7d4d0ea": {
   "en": "MPM Particle Cutting Separation",
   "zh": "MPM 粒子切割分离",
   "level": "l3"
  },
  "CAP_953d36c1": {
   "en": "XPBD Constraint Cutting Simulation",
   "zh": "XPBD 约束切割仿真",
   "level": "l2"
  },
  "CAP_1b9125a6": {
   "en": "XPBD Edge Constraint Cutting",
   "zh": "XPBD 边约束移除切割",
   "level": "l3"
  },
  "CAP_d647f997": {
   "en": "Differentiable XPBD Tissue Modeling",
   "zh": "可微 XPBD 组织建模",
   "level": "l3"
  },
  "CAP_0dffe5cd": {
   "en": "Deformable Jacobian Analysis",
   "zh": "可微雅可比分析",
   "level": "l3"
  },
  "CAP_166cb433": {
   "en": "F/T-Sensor Robotic Milling Admittance Force Control",
   "zh": "F/T传感机器人铣削导纳力控",
   "level": "l2"
  },
  "CAP_31d99fae": {
   "en": "F/T Sensor Bias and Gravity Compensation",
   "zh": "F/T传感器偏置标定与重力补偿",
   "level": "l3"
  },
  "CAP_aa940204": {
   "en": "Chatter Detection and Suppression",
   "zh": "颤振检测与抑制",
   "level": "l3"
  },
  "CAP_ab519e4b": {
   "en": "Spindle Current CNC Adaptive Constraint Force Control",
   "zh": "主轴电流CNC自适应约束力控",
   "level": "l2"
  },
  "CAP_9eefe644": {
   "en": "Spindle Motor Current-Torque Sensing",
   "zh": "主轴电机电流-转矩感知",
   "level": "l3"
  },
  "CAP_8676675b": {
   "en": "Mechanistic Milling Cutting Force Model",
   "zh": "机械铣削力模型",
   "level": "l3"
  },
  "CAP_bb236850": {
   "en": "Constraint Adaptive Control",
   "zh": "约束自适应控制",
   "level": "l3"
  },
  "CAP_91b3f95c": {
   "en": "Feedrate Override from Spindle Load",
   "zh": "主轴负载进给率超驰",
   "level": "l3"
  },
  "CAP_5e9a2be1": {
   "en": "Tool Wear Monitoring and Overload Protection",
   "zh": "刀具磨损监测与过载保护",
   "level": "l3"
  },
  "CAP_8c48f6c5": {
   "en": "Learning-Based Grinding Force-Position Hybrid Control",
   "zh": "学习型机器人磨抛力位混合控制",
   "level": "l2"
  },
  "CAP_48348466": {
   "en": "Multi-Modal Acoustic Force Sensing",
   "zh": "多模态声学力感知（AFRG）",
   "level": "l3"
  },
  "CAP_73384985": {
   "en": "Gaussian Process Regression Grinding Force Prediction",
   "zh": "高斯过程磨削力预测",
   "level": "l3"
  },
  "CAP_3a5eb0fb": {
   "en": "SAC Baseline",
   "zh": "SAC基线",
   "level": "l3"
  },
  "CAP_a0234b91": {
   "en": "Multi-Plan Surgical Cutting Trajectory Planning",
   "zh": "模型驱动多计划手术切割轨迹规划",
   "level": "l2"
  },
  "CAP_ca4bf247": {
   "en": "Structured Light 3D Tissue Imaging",
   "zh": "结构光三维组织成像",
   "level": "l3"
  },
  "CAP_d127a821": {
   "en": "NVD Fluorescence Tissue Tracking and Segmentation",
   "zh": "NVD 荧光组织跟踪与分割",
   "level": "l3"
  },
  "CAP_28265196": {
   "en": "Multi-Plan Surgical Plan Generation",
   "zh": "多计划手术规划生成",
   "level": "l3"
  },
  "CAP_ac9a4be6": {
   "en": "Cutting Entry Angle and Depth Parameterization",
   "zh": "切割切入角与深度参数化",
   "level": "l3"
  },
  "CAP_88d205e1": {
   "en": "Supervised Plan Selection",
   "zh": "监督者计划选择",
   "level": "l3"
  },
  "CAP_7c6945e2": {
   "en": "Reflexxes Time-Optimal Trajectory Parameterization",
   "zh": "Reflexxes 时间最优轨迹参数化",
   "level": "l3"
  },
  "CAP_0d2583f0": {
   "en": "dVRK Autonomous Cutting Trajectory Replay",
   "zh": "dVRK 自主切割轨迹回放",
   "level": "l3"
  },
  "CAP_edbf014c": {
   "en": "NVD Real-time Tracking Closed-loop Supervision",
   "zh": "NVD 实时跟踪闭环监督",
   "level": "l3"
  },
  "CAP_338a6497": {
   "en": "Industrial Cartesian Cutting Trajectory Planning",
   "zh": "工业笛卡尔切割轨迹规划",
   "level": "l2"
  },
  "CAP_7a267850": {
   "en": "Cutting Path Waypoint and TCP Definition",
   "zh": "切割路径点序列与TCP定义",
   "level": "l3"
  },
  "CAP_f2324ad8": {
   "en": "Collision Detection and Reachability Check",
   "zh": "碰撞检测与可达性校验",
   "level": "l3"
  },
  "CAP_496520d6": {
   "en": "Velocity Scaling and T1 Cartesian Safety Limit",
   "zh": "速度缩放与T1笛卡尔安全限制",
   "level": "l3"
  },
  "CAP_653f496f": {
   "en": "DAgger BC Fine-tuning",
   "zh": "DAgger BC策略微调",
   "level": "l3"
  },
  "CAP_5d679689": {
   "en": "Correction Data Recording",
   "zh": "纠错数据记录",
   "level": "l3"
  },
  "CAP_0f0de13d": {
   "en": "Uncertainty-Guided DAgger Training",
   "zh": "不确定性引导DAgger训练",
   "level": "l2"
  },
  "CAP_6e7f8a9c": {
   "en": "Uncertainty Estimation",
   "zh": "不确定性估计",
   "level": "l3"
  },
  "CAP_5cd1ad2d": {
   "en": "Budget-Aware Query Scheduling",
   "zh": "预算感知查询调度",
   "level": "l3"
  },
  "CAP_67e2df90": {
   "en": "Python SDK DAG Scheduling",
   "zh": "Python SDK DAG调度",
   "level": "l1"
  },
  "CAP_3a50074d": {
   "en": "DAG Dependency Declaration",
   "zh": "DAG依赖声明",
   "level": "l3"
  },
  "CAP_826d99d0": {
   "en": "DAG File Parsing and Serialization",
   "zh": "DAG文件解析与序列化",
   "level": "l3"
  },
  "CAP_d7ac47e2": {
   "en": "Scheduler Dependency Resolution",
   "zh": "调度器依赖解析",
   "level": "l3"
  },
  "CAP_1238a82c": {
   "en": "TaskInstance State Machine",
   "zh": "任务实例状态机",
   "level": "l3"
  },
  "CAP_119e144d": {
   "en": "Executor Task Dispatch",
   "zh": "执行器任务分发",
   "level": "l3"
  },
  "CAP_8025fbcf": {
   "en": "Event-Sourced DAG Scheduling",
   "zh": "事件溯源DAG调度",
   "level": "l1"
  },
  "CAP_83a1da82": {
   "en": "Deterministic Workflow Execution",
   "zh": "确定性工作流执行",
   "level": "l3"
  },
  "CAP_7197ff5e": {
   "en": "Event History Replay",
   "zh": "事件历史重放恢复",
   "level": "l3"
  },
  "CAP_d934a28a": {
   "en": "Activity Task Dispatch",
   "zh": "Activity任务调度分发",
   "level": "l3"
  },
  "CAP_d5164774": {
   "en": "Child Workflow Orchestration",
   "zh": "子工作流编排",
   "level": "l3"
  },
  "CAP_40e7a588": {
   "en": "Container-Native CRD DAG Scheduling",
   "zh": "容器原生CRD DAG调度",
   "level": "l1"
  },
  "CAP_87917de8": {
   "en": "DAG Template Dependency Resolution",
   "zh": "DAG模板依赖解析",
   "level": "l3"
  },
  "CAP_5bdbc656": {
   "en": "CRD Pod Dispatch",
   "zh": "CRD Pod任务分发",
   "level": "l3"
  },
  "CAP_2d229895": {
   "en": "Workflow Status Reconcile",
   "zh": "工作流状态协调",
   "level": "l3"
  },
  "CAP_956664b4": {
   "en": "StateGraph DAG Scheduling",
   "zh": "StateGraph DAG调度",
   "level": "l1"
  },
  "CAP_783b2839": {
   "en": "State Schema & Reducer",
   "zh": "状态Schema与Reducer定义",
   "level": "l3"
  },
  "CAP_ce0eb662": {
   "en": "Pregel Super-Step Execution",
   "zh": "Pregel Super-Step执行",
   "level": "l3"
  },
  "CAP_3d773d4f": {
   "en": "Checkpointer Persistence",
   "zh": "Checkpointer状态持久化",
   "level": "l3"
  },
  "CAP_eb12ac41": {
   "en": "Node Caching",
   "zh": "节点执行缓存",
   "level": "l3"
  },
  "CAP_7a1c3173": {
   "en": "Wearable Inertial Daily Activity Recognition",
   "zh": "穿戴式惯性日常活动识别",
   "level": "l2"
  },
  "CAP_702e18d8": {
   "en": "Wearable Inertial Acquisition",
   "zh": "体戴惯性信号采集",
   "level": "l3"
  },
  "CAP_4e888d4c": {
   "en": "Inertial Preprocessing and Gravity Separation",
   "zh": "惯性信号预处理与重力分离",
   "level": "l3"
  },
  "CAP_8f4aee5d": {
   "en": "Sliding Window Segmentation",
   "zh": "滑动窗口分割",
   "level": "l3"
  },
  "CAP_b7c6ed5e": {
   "en": "Time-Frequency Feature Extraction for Inertial HAR",
   "zh": "惯性 HAR 时频特征抽取",
   "level": "l3"
  },
  "CAP_80561159": {
   "en": "Wearable Activity Classification Inference",
   "zh": "穿戴式活动分类推理",
   "level": "l3"
  },
  "CAP_67303601": {
   "en": "LOSO Activity Evaluation",
   "zh": "留一受试者交叉验证评测",
   "level": "l3"
  },
  "CAP_bf1880cc": {
   "en": "Ambient Sensor Smart Home ADL Recognition",
   "zh": "环境传感器智能家居 ADL 识别",
   "level": "l2"
  },
  "CAP_21b34d0f": {
   "en": "Ambient Sensor Event Stream Acquisition",
   "zh": "环境传感器事件流采集",
   "level": "l3"
  },
  "CAP_c9d7bcfc": {
   "en": "Event Stream Label Alignment",
   "zh": "事件流标注对齐",
   "level": "l3"
  },
  "CAP_712a59c1": {
   "en": "Event Window Aggregation",
   "zh": "时间窗事件聚合",
   "level": "l3"
  },
  "CAP_73c2125f": {
   "en": "Event Feature Encoding",
   "zh": "事件特征编码",
   "level": "l3"
  },
  "CAP_36cd48c9": {
   "en": "Sequence Model ADL Recognition",
   "zh": "序列模型 ADL 识别",
   "level": "l3"
  },
  "CAP_65beb6d4": {
   "en": "Smart Home ADL Evaluation",
   "zh": "智能家居 ADL 评测",
   "level": "l3"
  },
  "CAP_f4b2a751": {
   "en": "Multi-Sensor Software-Sync Acquisition",
   "zh": "多传感器软件同步采集",
   "level": "l2"
  },
  "CAP_44fc24f4": {
   "en": "Sensor Driver Launch & Hardware Timestamp Stamping",
   "zh": "传感器驱动启动与硬件时间戳标注",
   "level": "l3"
  },
  "CAP_ce0742e9": {
   "en": "ROS Message Filters Soft Sync Pipeline",
   "zh": "ROS message_filters 软同步流水线",
   "level": "l3"
  },
  "CAP_0482a591": {
   "en": "Multi-Sensor Timestamp Drift Online Monitoring",
   "zh": "多传感器时间戳漂移在线监测",
   "level": "l3"
  },
  "CAP_84e46737": {
   "en": "PTP Hardware Trigger Hard Sync Pipeline",
   "zh": "PTP 硬件触发硬同步流水线",
   "level": "l2"
  },
  "CAP_28f67e0c": {
   "en": "PHC Synchronization Servo",
   "zh": "PHC 同步伺服",
   "level": "l3"
  },
  "CAP_bc21ca23": {
   "en": "External Hardware Trigger Signal Distribution",
   "zh": "外部硬触发信号分发",
   "level": "l3"
  },
  "CAP_b7808c8d": {
   "en": "Camera Internal Trigger State Machine Configuration",
   "zh": "相机内部触发状态机配置",
   "level": "l3"
  },
  "CAP_704a201b": {
   "en": "Unified Sensor Abstraction Layer Registration",
   "zh": "统一传感器抽象层注册",
   "level": "l3"
  },
  "CAP_06d98b3f": {
   "en": "Unified Sensor Data Read",
   "zh": "统一传感器数据读取",
   "level": "l3"
  },
  "CAP_e85bc647": {
   "en": "Virtual Sensor Replay",
   "zh": "虚拟传感器回放",
   "level": "l3"
  },
  "CAP_4d52b383": {
   "en": "Chunk Timestamp Latching",
   "zh": "Chunk 时间戳锁存",
   "level": "l3"
  },
  "CAP_2913be78": {
   "en": "Device-to-Host Time Mapping",
   "zh": "设备时间到主机时间映射",
   "level": "l3"
  },
  "CAP_3b7d6e21": {
   "en": "In-The-Wild Handheld Collection Without Robot",
   "zh": "野外无机器人手持采集",
   "level": "l3"
  },
  "CAP_4d60b488": {
   "en": "Leader-Follower Teleoperation Arm Setup",
   "zh": "主从遥操作臂搭建",
   "level": "l3"
  },
  "CAP_ae0e951d": {
   "en": "Low-Cost 3D Printed Leader Arm",
   "zh": "低成本 3D 打印主臂",
   "level": "l3"
  },
  "CAP_94592a90": {
   "en": "SLAM-Based Pose Estimation from Handheld Data",
   "zh": "手持数据 SLAM 位姿估计",
   "level": "l3"
  },
  "CAP_1991071c": {
   "en": "MultiModalSensorSynchronousRecording",
   "zh": "多模态传感器同步录制",
   "level": "l3"
  },
  "CAP_a258c826": {
   "en": "VirtualSensorDataReplay",
   "zh": "虚拟传感器数据回放",
   "level": "l3"
  },
  "CAP_ed37357c": {
   "en": "Structured Tabular De-identification Pipeline",
   "zh": "结构化表格去标识化流水线",
   "level": "l2"
  },
  "CAP_f9dedcbf": {
   "en": "Quasi-Identifier Configuration",
   "zh": "准标识符配置",
   "level": "l3"
  },
  "CAP_5657a80f": {
   "en": "Generalization Hierarchy Construction",
   "zh": "泛化层次树构建",
   "level": "l3"
  },
  "CAP_44b2b25b": {
   "en": "Direct Identifier Pseudonymization",
   "zh": "直接标识符假名化",
   "level": "l3"
  },
  "CAP_1e3ce8c6": {
   "en": "Attribute-Disclosure Privacy Enforcement",
   "zh": "属性披露隐私约束执行",
   "level": "l3"
  },
  "CAP_47b4e46f": {
   "en": "Re-identification Risk Estimation",
   "zh": "重识别风险评估",
   "level": "l3"
  },
  "CAP_4787c547": {
   "en": "Visual PII Redaction Pipeline",
   "zh": "视觉PII检测与遮蔽流水线",
   "level": "l2"
  },
  "CAP_8719a6a5": {
   "en": "Destructive Obfuscation Operator",
   "zh": "破坏性遮蔽算子",
   "level": "l3"
  },
  "CAP_9352f177": {
   "en": "Generative Inpaint Obfuscation Operator",
   "zh": "生成式替代遮蔽算子",
   "level": "l3"
  },
  "CAP_376d40c1": {
   "en": "Video Frame Redaction Orchestration",
   "zh": "视频帧遮蔽编排",
   "level": "l3"
  },
  "CAP_6ff9ced6": {
   "en": "Text PII Redaction Pipeline",
   "zh": "文本PII检测与替换流水线",
   "level": "l2"
  },
  "CAP_2503f288": {
   "en": "Text PII Entity Recognition",
   "zh": "文本PII实体识别",
   "level": "l3"
  },
  "CAP_c370d147": {
   "en": "Reversible Deanonymization & Referential Integrity",
   "zh": "可逆去匿名化与引用一致性",
   "level": "l3"
  },
  "CAP_fa679884": {
   "en": "Image-Borne Text PII Redaction",
   "zh": "图像文本PII涂抹",
   "level": "l3"
  },
  "CAP_9b7c0cc6": {
   "en": "Voice Speaker Anonymization Pipeline",
   "zh": "语音说话人匿名化流水线",
   "level": "l2"
  },
  "CAP_f6d91354": {
   "en": "Source Speaker X-vector Extraction",
   "zh": "源说话人x-vector提取",
   "level": "l3"
  },
  "CAP_c6bc4f82": {
   "en": "Anonymized X-vector Generation",
   "zh": "匿名化x-vector生成",
   "level": "l3"
  },
  "CAP_19cb61c6": {
   "en": "Linguistic Content Feature Extraction",
   "zh": "语言内容特征提取",
   "level": "l3"
  },
  "CAP_3f2c6004": {
   "en": "Neural Voice Resynthesis from Anonymized Embedding",
   "zh": "匿名化嵌入神经语音重合成",
   "level": "l3"
  },
  "CAP_21c64ac7": {
   "en": "Signal-Processing Voice Transformation (McAdams)",
   "zh": "信号处理语音变换McAdams",
   "level": "l3"
  },
  "CAP_147d0e6c": {
   "en": "Speaker Anonymization Evaluation",
   "zh": "说话人匿名化评估",
   "level": "l3"
  },
  "CAP_32b4448f": {
   "en": "Learned Episode Quality Filtering Pipeline",
   "zh": "学习型 episode 质量过滤管线",
   "level": "l2"
  },
  "CAP_e1d751e1": {
   "en": "Reference Quality Set Curation",
   "zh": "参考质量集策展",
   "level": "l3"
  },
  "CAP_fb8d2c5c": {
   "en": "Filtered Dataset Validation",
   "zh": "过滤数据集校验",
   "level": "l3"
  },
  "CAP_9388ecf7": {
   "en": "Diversity-Coverage Selection and Mixing Pipeline",
   "zh": "多样性覆盖选择与混合权重管线",
   "level": "l2"
  },
  "CAP_3ce5e9fb": {
   "en": "Learned Kinematics Model Training",
   "zh": "学习型运动学模型训练",
   "level": "l2"
  },
  "CAP_4cc840a0": {
   "en": "Forward Kinematics Model Learning",
   "zh": "前向运动学模型学习",
   "level": "l3"
  },
  "CAP_eac40bba": {
   "en": "Soft Robot Training Data Acquisition",
   "zh": "软体机器人训练数据采集",
   "level": "l2"
  },
  "CAP_f2608ee2": {
   "en": "Soft Robot Simulation Data Generation",
   "zh": "软体机器人仿真数据生成",
   "level": "l3"
  },
  "CAP_37f10581": {
   "en": "FK/IK Network Architecture Design",
   "zh": "FK/IK 网络架构设计",
   "level": "l3"
  },
  "CAP_2aaa4b43": {
   "en": "Learned Model Accuracy Evaluation",
   "zh": "学习模型精度评估",
   "level": "l3"
  },
  "CAP_2dffd529": {
   "en": "Learned Kinematics Model Deployment",
   "zh": "学习型运动学模型部署",
   "level": "l2"
  },
  "CAP_dc87cb23": {
   "en": "Learned Model-Based Kinematic Control",
   "zh": "基于学习模型的运动学控制",
   "level": "l3"
  },
  "CAP_8ec07ab9": {
   "en": "Temporal Simulation Data Generation",
   "zh": "时序仿真数据生成",
   "level": "l3"
  },
  "CAP_81e0dd12": {
   "en": "RNN Temporal Dynamics Model Training",
   "zh": "RNN 时序动力学模型训练",
   "level": "l3"
  },
  "CAP_ef1d1970": {
   "en": "DDEC Online Parameter Update",
   "zh": "DDEC 在线参数更新",
   "level": "l3"
  },
  "CAP_ae4a3afe": {
   "en": "PDE Residual Derivation",
   "zh": "PDE 残差推导",
   "level": "l3"
  },
  "CAP_9e9eabd9": {
   "en": "PINN Soft Robot Model Training",
   "zh": "PINN 软体机器人模型训练",
   "level": "l2"
  },
  "CAP_cb50b55e": {
   "en": "PINN Joint Optimization",
   "zh": "PINN 联合优化",
   "level": "l3"
  },
  "CAP_bf68fb6f": {
   "en": "Displacement Field Comparison",
   "zh": "位移场对比",
   "level": "l3"
  },
  "CAP_97af22a8": {
   "en": "PINN Real-Time State Estimation",
   "zh": "PINN 实时状态估计",
   "level": "l3"
  },
  "CAP_e7a25f4d": {
   "en": "Differentiable Simulation Gradient Backpropagation",
   "zh": "可微仿真梯度回传",
   "level": "l3"
  },
  "CAP_9a5ec4be": {
   "en": "Simulation Parameter Refinement",
   "zh": "仿真参数精化",
   "level": "l3"
  },
  "CAP_ed648d79": {
   "en": "Runtime Native Message Conversion",
   "zh": "运行时原生消息转换",
   "level": "l2"
  },
  "CAP_6f47d55c": {
   "en": "CV Bridge Image Message Native Conversion",
   "zh": "cv_bridge 图像消息原生转换",
   "level": "l3"
  },
  "CAP_6d51f763": {
   "en": "PCL Conversions PointCloud2",
   "zh": "pcl_conversions 点云消息转换",
   "level": "l3"
  },
  "CAP_e275eb8e": {
   "en": "ROS NumPy Message Conversion",
   "zh": "ros_numpy 消息转换",
   "level": "l3"
  },
  "CAP_9c9599bf": {
   "en": "Cross Middleware Message Bridging",
   "zh": "跨中间件消息桥接",
   "level": "l2"
  },
  "CAP_b73e8bcd": {
   "en": "Offline Dataset Format Conversion",
   "zh": "离线数据集格式转换",
   "level": "l2"
  },
  "CAP_b939ad24": {
   "en": "Rosbags Bag MCAP Conversion",
   "zh": "rosbags bag MCAP 互转",
   "level": "l3"
  },
  "CAP_17b44ccf": {
   "en": "MCAP File Read Write",
   "zh": "MCAP 文件读写",
   "level": "l3"
  },
  "CAP_6d4a2f3b": {
   "en": "LeRobotDataset Serialization and Site Aggregation",
   "zh": "LeRobotDataset 序列化与站点汇总",
   "level": "l3"
  },
  "CAP_1ccae27e": {
   "en": "Signature Verification",
   "zh": "签名验证",
   "level": "l2"
  },
  "CAP_3282f4d6": {
   "en": "OCI Artifact Digest Computation and Referencing",
   "zh": "OCI 制品摘要计算与寻址",
   "level": "l3"
  },
  "CAP_bd583169": {
   "en": "Keyless Short-Lived Certificate Signing",
   "zh": "Keyless 短期证书签名签发",
   "level": "l3"
  },
  "CAP_5823183b": {
   "en": "Artifact Signing Verification",
   "zh": "工件签名验证",
   "level": "l3"
  },
  "CAP_177bcc8e": {
   "en": "Kubernetes Admission Image Gate",
   "zh": "Kubernetes 准入控制镜像门禁",
   "level": "l3"
  },
  "CAP_e41fec46": {
   "en": "Notation Trust Policy Verification",
   "zh": "Notation Trust Policy 校验",
   "level": "l3"
  },
  "CAP_d7c665f4": {
   "en": "TUF Metadata Chain Update Integrity Verification",
   "zh": "TUF 元数据链更新完整性验证",
   "level": "l2"
  },
  "CAP_591c7b3d": {
   "en": "TUF Trusted Root Loading and Rotation",
   "zh": "TUF 信任根加载与轮换",
   "level": "l3"
  },
  "CAP_22bc9c23": {
   "en": "TUF Timestamp Freshness Verification",
   "zh": "TUF 时间戳新鲜度验证",
   "level": "l3"
  },
  "CAP_611c5b95": {
   "en": "TUF Snapshot Consistency Verification",
   "zh": "TUF 快照一致性验证",
   "level": "l3"
  },
  "CAP_84d83412": {
   "en": "TUF Targets Target File Hash Verification",
   "zh": "TUF 目标文件哈希验证",
   "level": "l3"
  },
  "CAP_dbd652fd": {
   "en": "TUF Rollback Fast-forward Freeze Attack Protection",
   "zh": "TUF 回滚/快进/冻结攻击保护",
   "level": "l3"
  },
  "CAP_dca6846e": {
   "en": "Signed Tree Head Retrieval and Signature Verification",
   "zh": "Signed Tree Head 获取与签名验证",
   "level": "l3"
  },
  "CAP_045c5684": {
   "en": "Inclusion Proof Verification",
   "zh": "包含证明验证",
   "level": "l3"
  },
  "CAP_9967176e": {
   "en": "Consistency Proof Verification",
   "zh": "一致性证明验证",
   "level": "l3"
  },
  "CAP_f81c0391": {
   "en": "Transparency Log Continuous Audit and Gossip Split-View Detection",
   "zh": "透明日志持续审计与 Gossip 防 Split-View",
   "level": "l3"
  },
  "CAP_3201a06a": {
   "en": "Purpose-Driven Sensor Configuration",
   "zh": "目的驱动传感器配置",
   "level": "l2"
  },
  "CAP_fdcdfdda": {
   "en": "Purpose Data Category Mapping",
   "zh": "目的-数据类别映射",
   "level": "l3"
  },
  "CAP_30a4d98c": {
   "en": "Wake-Word Acquisition Gating",
   "zh": "唤醒词采集门控",
   "level": "l2"
  },
  "CAP_7a0d9ce6": {
   "en": "Trigger Window Lifecycle",
   "zh": "触发窗口生命周期",
   "level": "l3"
  },
  "CAP_882b8328": {
   "en": "Field Projection Masking",
   "zh": "字段投影掩蔽",
   "level": "l3"
  },
  "CAP_04eaa889": {
   "en": "Layer Cost Profiling",
   "zh": "层代价剖析与回归建模",
   "level": "l3"
  },
  "CAP_e01312ac": {
   "en": "Partition Point Search",
   "zh": "分割点搜索",
   "level": "l3"
  },
  "CAP_8d172486": {
   "en": "Collaborative Inference Execution",
   "zh": "协同推理执行",
   "level": "l3"
  },
  "CAP_3f5f2996": {
   "en": "Occupancy Grid Environment Modeling",
   "zh": "占据栅格环境建模",
   "level": "l3"
  },
  "CAP_ff3e71f2": {
   "en": "Hash Key-Based Fleet Data Sharding",
   "zh": "哈希键机群数据分片",
   "level": "l2"
  },
  "CAP_c5867046": {
   "en": "ClickHouse Distributed Table Shard-Key Partitioning",
   "zh": "ClickHouse 分布式表分片键分区",
   "level": "l3"
  },
  "CAP_ec4f26aa": {
   "en": "Kafka Topic Key-Based Partition Assignment",
   "zh": "Kafka topic 键分区分配",
   "level": "l3"
  },
  "CAP_2e4f9a6c": {
   "en": "Dataset Sharding for Data-Parallel Training",
   "zh": "数据集分片数据并行训练",
   "level": "l2"
  },
  "CAP_a96e5030": {
   "en": "Dataset Sample Sharding via DistributedSampler",
   "zh": "DistributedSampler 样本分片",
   "level": "l3"
  },
  "CAP_4c68c94b": {
   "en": "Distributed Rollout Experience Partitioning",
   "zh": "分布式 rollout 经验分区",
   "level": "l3"
  },
  "CAP_dba13695": {
   "en": "Ring-AllReduce Gradient Synchronization",
   "zh": "Ring-AllReduce 梯度同步",
   "level": "l3"
  },
  "CAP_a8c9e310": {
   "en": "Ray Cluster Declaration and RLlib Config",
   "zh": "Ray 集群声明与 RLlib 配置",
   "level": "l3"
  },
  "CAP_f08ace50": {
   "en": "RegressionCostModeling",
   "zh": "回归代价建模",
   "level": "l3"
  },
  "CAP_dc639aa0": {
   "en": "BenchmarkLayerLatencyPower",
   "zh": "层延迟功耗基准采集",
   "level": "l3"
  },
  "CAP_8aa8654f": {
   "en": "Orchestrator-Embedded Pipeline Monitoring",
   "zh": "编排平台内置监控",
   "level": "l3"
  },
  "CAP_22266e94": {
   "en": "TaskInstance State Machine Tracking",
   "zh": "TaskInstance状态机跟踪",
   "level": "l3"
  },
  "CAP_4af0db51": {
   "en": "Run Lifecycle Tracking",
   "zh": "Run生命周期跟踪",
   "level": "l3"
  },
  "CAP_40b706cc": {
   "en": "Zombie Task Detection",
   "zh": "僵尸任务检测",
   "level": "l3"
  },
  "CAP_0a5adfdb": {
   "en": "Run Worker Crash Detection and Recovery",
   "zh": "Run Worker崩溃检测与恢复",
   "level": "l3"
  },
  "CAP_1fc7444f": {
   "en": "Failure Retry Policy",
   "zh": "失败重试策略",
   "level": "l3"
  },
  "CAP_1878c9ae": {
   "en": "Orchestration Engine State Monitoring",
   "zh": "编排引擎状态监控",
   "level": "l2"
  },
  "CAP_9057e046": {
   "en": "Anomaly Detection and Self-Healing Trigger",
   "zh": "异常检测与自愈触发",
   "level": "l2"
  },
  "CAP_6b00eaf3": {
   "en": "Failure Recovery and Retry",
   "zh": "失败恢复与重试",
   "level": "l2"
  },
  "CAP_c1a9e557": {
   "en": "Event-Driven Triggering",
   "zh": "事件驱动触发",
   "level": "l2"
  },
  "CAP_53de32d1": {
   "en": "Run Worker Crash Detection & Resume",
   "zh": "运行工作器崩溃检测与恢复",
   "level": "l3"
  },
  "CAP_8dddb6e5": {
   "en": "Sensor Event-Driven Trigger",
   "zh": "传感器事件驱动触发",
   "level": "l3"
  },
  "CAP_61ef30f1": {
   "en": "Callback Notification & Visualization",
   "zh": "回调通知与可视化",
   "level": "l3"
  },
  "CAP_8e72afc3": {
   "en": "Declarative K8s Workflow Monitoring",
   "zh": "声明式工作流 CRD 监控",
   "level": "l2"
  },
  "CAP_2f285f8b": {
   "en": "CRD Spec Definition & Validation",
   "zh": "CRD资源定义解析",
   "level": "l3"
  },
  "CAP_b266a918": {
   "en": "Node-Level State Tracking",
   "zh": "节点级状态跟踪",
   "level": "l3"
  },
  "CAP_e135e306": {
   "en": "Workflow-Level State Aggregation",
   "zh": "工作流级状态聚合",
   "level": "l3"
  },
  "CAP_f3ec6449": {
   "en": "Anomaly Detection via Controller Metrics",
   "zh": "异常检测",
   "level": "l3"
  },
  "CAP_0318c0d0": {
   "en": "Declarative Retry Strategy",
   "zh": "重试策略",
   "level": "l3"
  },
  "CAP_974331d6": {
   "en": "Conditions & Timeout Control",
   "zh": "条件与超时",
   "level": "l3"
  },
  "CAP_893b9d36": {
   "en": "Archiving & Visualization",
   "zh": "归档与可视化",
   "level": "l3"
  },
  "CAP_c6306e3c": {
   "en": "Metrics Export",
   "zh": "指标导出",
   "level": "l3"
  },
  "CAP_232ce015": {
   "en": "Archived Workflows & Visualization",
   "zh": "归档与可视化",
   "level": "l3"
  },
  "CAP_5c1d9897": {
   "en": "Metrics Export to Prometheus/OTel",
   "zh": "指标导出至Prometheus/OTel",
   "level": "l3"
  },
  "CAP_65c6f19b": {
   "en": "Pull-Based Metrics Collection",
   "zh": "拉取式指标采集栈",
   "level": "l2"
  },
  "CAP_d408567a": {
   "en": "Scrape Target Configuration",
   "zh": "采集目标配置",
   "level": "l3"
  },
  "CAP_d2e757da": {
   "en": "Pull Scrape Execution",
   "zh": "拉取抓取执行",
   "level": "l3"
  },
  "CAP_4c75a2cd": {
   "en": "TSDB Storage & Remote Write",
   "zh": "TSDB存储与远程写入",
   "level": "l3"
  },
  "CAP_f7c79bd5": {
   "en": "Recording Rules Precomputation",
   "zh": "记录规则预计算",
   "level": "l3"
  },
  "CAP_ce821469": {
   "en": "Alerting Rules & Push to Alertmanager",
   "zh": "告警规则与推送",
   "level": "l3"
  },
  "CAP_73c1d1a5": {
   "en": "Alert Routing & Grouping",
   "zh": "告警路由分组",
   "level": "l3"
  },
  "CAP_a92646a1": {
   "en": "Alert Notification Dispatch",
   "zh": "告警通知发送",
   "level": "l3"
  },
  "CAP_512bc793": {
   "en": "Visualization Query",
   "zh": "可视化查询",
   "level": "l3"
  },
  "CAP_7722ff00": {
   "en": "Remote Storage Long-Term Retention",
   "zh": "远程存储长期保存",
   "level": "l3"
  },
  "CAP_575c696d": {
   "en": "Node Exporter Metrics Exposure",
   "zh": "节点导出器指标暴露",
   "level": "l3"
  },
  "CAP_25f6d418": {
   "en": "Prometheus Pull and TSDB Ingestion",
   "zh": "Prometheus 拉取与 TSDB 写入",
   "level": "l3"
  },
  "CAP_09d533cf": {
   "en": "Visualization & PromQL Query",
   "zh": "可视化与 PromQL 查询",
   "level": "l3"
  },
  "CAP_8e227d31": {
   "en": "Remote Long-Term Storage",
   "zh": "远程长期存储",
   "level": "l3"
  },
  "CAP_88f67bc2": {
   "en": "Alerting Rule Evaluation",
   "zh": "告警规则评估",
   "level": "l3"
  },
  "CAP_099626e3": {
   "en": "Alert Notification Delivery",
   "zh": "告警通知发送",
   "level": "l3"
  },
  "CAP_ad89498e": {
   "en": "OTel Tracing & Data Lineage",
   "zh": "OTel 追踪与数据血缘",
   "level": "l2"
  },
  "CAP_b055adb6": {
   "en": "OTel Instrumentation & OTLP Export",
   "zh": "OTel 埋点与 OTLP 导出",
   "level": "l3"
  },
  "CAP_eda803b4": {
   "en": "OpenLineage RunEvent Emission",
   "zh": "OpenLineage 事件发射",
   "level": "l3"
  },
  "CAP_e00b95ba": {
   "en": "Collector Pipeline Processing",
   "zh": "Collector 管道处理",
   "level": "l3"
  },
  "CAP_f0401a7c": {
   "en": "Trace & Log Storage",
   "zh": "Trace 与日志存储",
   "level": "l3"
  },
  "CAP_b260a877": {
   "en": "Lineage Graph Storage",
   "zh": "血缘图存储",
   "level": "l3"
  },
  "CAP_00f8c53a": {
   "en": "Lineage Query API",
   "zh": "血缘查询",
   "level": "l3"
  },
  "CAP_b397faaa": {
   "en": "Trace Query (TraceQL)",
   "zh": "Trace 查询 (TraceQL)",
   "level": "l3"
  },
  "CAP_d679aba0": {
   "en": "Log Query (LogQL)",
   "zh": "日志查询 (LogQL)",
   "level": "l3"
  },
  "CAP_f4accc92": {
   "en": "Unified Visualization",
   "zh": "统一可视化",
   "level": "l3"
  },
  "CAP_8fb024f3": {
   "en": "Cross-Signal Correlation",
   "zh": "跨信号关联",
   "level": "l3"
  },
  "CAP_473a0f86": {
   "en": "Trace Query with TraceQL",
   "zh": "Trace查询",
   "level": "l3"
  },
  "CAP_7e681ea0": {
   "en": "Log Query with LogQL",
   "zh": "日志查询",
   "level": "l3"
  },
  "CAP_f87f5636": {
   "en": "Data Quality Validation",
   "zh": "数据质量验证",
   "level": "l2"
  },
  "CAP_3bf2a08b": {
   "en": "Dataset Statistics Computation",
   "zh": "数据集统计计算",
   "level": "l3"
  },
  "CAP_9bd99980": {
   "en": "Schema Inference & Declaration",
   "zh": "Schema推断与声明",
   "level": "l3"
  },
  "CAP_b83fff26": {
   "en": "Statistics Validation & Anomaly Detection",
   "zh": "统计验证与异常检测",
   "level": "l3"
  },
  "CAP_ed8f1bdd": {
   "en": "Declarative Constraint Verification",
   "zh": "声明式约束校验",
   "level": "l3"
  },
  "CAP_919882f1": {
   "en": "Metrics Repository Anomaly Detection",
   "zh": "指标库异常检测",
   "level": "l3"
  },
  "CAP_63f637c2": {
   "en": "Inline DataFrame Validation",
   "zh": "内联DataFrame校验",
   "level": "l3"
  },
  "CAP_268a3f25": {
   "en": "Data Skew Comparison",
   "zh": "数据偏斜比较",
   "level": "l3"
  },
  "CAP_8561eeba": {
   "en": "Data Drift Detection",
   "zh": "数据漂移检测",
   "level": "l3"
  },
  "CAP_5d4c0f38": {
   "en": "Expectation Suite Assertions",
   "zh": "期望套件断言",
   "level": "l3"
  },
  "CAP_e8a53817": {
   "en": "Declarative DataFrame Validation",
   "zh": "声明式DataFrame校验",
   "level": "l3"
  },
  "CAP_86459bc1": {
   "en": "Training/Serving Skew Comparison",
   "zh": "数据偏斜比较",
   "level": "l3"
  },
  "CAP_5855b6ea": {
   "en": "ROS2 Topic-Graph Processing Chain Orchestration",
   "zh": "ROS2 话题图处理链编排",
   "level": "l2"
  },
  "CAP_e223fe2a": {
   "en": "Stereo Disparity to Depth",
   "zh": "双目视差转深度",
   "level": "l3"
  },
  "CAP_e2fd3bfd": {
   "en": "Pipeline Trace Instrumentation",
   "zh": "链路追踪仪器化",
   "level": "l3"
  },
  "CAP_b2685658": {
   "en": "GStreamer Element-Graph Processing Chain Orchestration",
   "zh": "GStreamer 元素图处理链编排",
   "level": "l2"
  },
  "CAP_964d39cd": {
   "en": "GstElement Factory Instantiation",
   "zh": "GstElement 工厂实例化",
   "level": "l3"
  },
  "CAP_2d4a96f1": {
   "en": "GstBin Pipeline Assembly",
   "zh": "GstBin 管道装配",
   "level": "l3"
  },
  "CAP_0b2b4900": {
   "en": "GstPad Explicit Linking",
   "zh": "GstPad 显式连接",
   "level": "l3"
  },
  "CAP_85777867": {
   "en": "GstCaps Negotiation",
   "zh": "GstCaps 能力协商",
   "level": "l3"
  },
  "CAP_123efb63": {
   "en": "GstCapsFilter Forced Format",
   "zh": "GstCapsFilter 强制格式",
   "level": "l3"
  },
  "CAP_ba2a508d": {
   "en": "Dynamic Pipeline pad-added Signal",
   "zh": "动态管道 pad-added 信号",
   "level": "l3"
  },
  "CAP_e03a2853": {
   "en": "Gst Request Pad Tee Aggregator",
   "zh": "Gst 请求 pad 分流合流",
   "level": "l3"
  },
  "CAP_372359f2": {
   "en": "Gst Parse Launch Declarative Pipeline",
   "zh": "gst_parse_launch 声明式管道",
   "level": "l3"
  },
  "CAP_77847ee5": {
   "en": "GStreamer State Machine and Bus",
   "zh": "GStreamer 状态机与总线",
   "level": "l3"
  },
  "CAP_00fe3c15": {
   "en": "Apache Beam DAG Runner Processing Chain Orchestration",
   "zh": "Apache Beam DAG Runner 处理链编排",
   "level": "l2"
  },
  "CAP_02b45bbc": {
   "en": "Beam Pipeline and Runner Configuration",
   "zh": "Beam 管道与运行器配置",
   "level": "l3"
  },
  "CAP_d5685212": {
   "en": "Beam PCollection I/O Creation",
   "zh": "Beam PCollection 输入输出创建",
   "level": "l3"
  },
  "CAP_438f7a54": {
   "en": "Beam ParDo Parallel Element Processing",
   "zh": "Beam ParDo 并行元素处理",
   "level": "l3"
  },
  "CAP_5e5badb1": {
   "en": "Beam GroupByKey and Combine Aggregation",
   "zh": "Beam 按键分组与聚合",
   "level": "l3"
  },
  "CAP_65f421e9": {
   "en": "Beam Composite PTransform Nesting",
   "zh": "Beam 复合变换嵌套",
   "level": "l3"
  },
  "CAP_6560d30f": {
   "en": "Beam Windowing for Streaming",
   "zh": "Beam 流式窗口化",
   "level": "l3"
  },
  "CAP_738baa21": {
   "en": "Beam Trigger and Watermark Late Data",
   "zh": "Beam 触发器与水印迟到数据",
   "level": "l3"
  },
  "CAP_a6984807": {
   "en": "Beam Runner DAG Execution",
   "zh": "Beam 运行器 DAG 执行",
   "level": "l3"
  },
  "CAP_17b9d1d5": {
   "en": "Synthetic Data Batch Ingestion",
   "zh": "合成数据批量接入",
   "level": "l3"
  },
  "CAP_2609f590": {
   "en": "Schema Inference",
   "zh": "Schema 推断",
   "level": "l3"
  },
  "CAP_c35caa51": {
   "en": "Dataset Anomaly Detection",
   "zh": "数据集异常检测",
   "level": "l3"
  },
  "CAP_e3a0f38d": {
   "en": "Anomaly Triage and Filtering",
   "zh": "异常处置与过滤决策",
   "level": "l3"
  },
  "CAP_110d7154": {
   "en": "Schema QC Report Generation",
   "zh": "QC 报告生成",
   "level": "l3"
  },
  "CAP_ffbd1c84": {
   "en": "Image and Label Noise QC",
   "zh": "样本级图像 QC 与标签噪声检测",
   "level": "l2"
  },
  "CAP_c8b84a24": {
   "en": "Image Dataset Ingestion",
   "zh": "图像数据集接入",
   "level": "l3"
  },
  "CAP_27c7afd5": {
   "en": "Image Quality Issue Detection",
   "zh": "图像质量问题检测",
   "level": "l3"
  },
  "CAP_905e53e9": {
   "en": "Model Prediction Probability Estimation",
   "zh": "模型预测概率估计",
   "level": "l3"
  },
  "CAP_4aebc27d": {
   "en": "Confident Learning Label Noise Detection",
   "zh": "标签噪声检测（Confident Learning）",
   "level": "l3"
  },
  "CAP_8da8e423": {
   "en": "Multi-Issue Aggregation and Filtering",
   "zh": "多 issue 归并与过滤决策",
   "level": "l3"
  },
  "CAP_710f2d50": {
   "en": "Image QC Report Generation",
   "zh": "样本级 QC 报告生成",
   "level": "l3"
  },
  "CAP_f3a2b7c8": {
   "en": "Inception Distributional Distance",
   "zh": "Inception 分布距离评估",
   "level": "l2"
  },
  "CAP_b5c7e3d6": {
   "en": "Inception Pool Feature Extraction",
   "zh": "Inception 池化特征提取",
   "level": "l3"
  },
  "CAP_b01038fa": {
   "en": "Dataset Pair Ingestion for Distribution Evaluation",
   "zh": "分布评估数据集对接入",
   "level": "l3"
  },
  "CAP_49313783": {
   "en": "Distribution Distance Metric Calculation",
   "zh": "分布距离度量计算",
   "level": "l3"
  },
  "CAP_3aea8e59": {
   "en": "Generative Metric Training Loop Integration",
   "zh": "生成度量训练循环集成",
   "level": "l3"
  },
  "CAP_fe170b5e": {
   "en": "Distribution Metric Reporting",
   "zh": "分布度量报告",
   "level": "l3"
  },
  "CAP_c29f9139": {
   "en": "Synthetic Trajectory Quality Control",
   "zh": "合成轨迹质量控制",
   "level": "l2"
  },
  "CAP_bb78f6e3": {
   "en": "State Replay and Episode Unrolling",
   "zh": "状态回放与轨迹展开",
   "level": "l3"
  },
  "CAP_03d47ff9": {
   "en": "Trajectory QC Reporting",
   "zh": "轨迹 QC 报告",
   "level": "l3"
  },
  "CAP_64894002": {
   "en": "Data Quality Filtering and Mixing",
   "zh": "数据质量过滤与混合",
   "level": "l2"
  },
  "CAP_b018425b": {
   "en": "Episode Success Label Extraction and Filtering",
   "zh": "Episode 成功标志提取与过滤",
   "level": "l3"
  },
  "CAP_d37ab594": {
   "en": "Datamodel Estimation",
   "zh": "数据模型估计",
   "level": "l3"
  },
  "CAP_f27f9340": {
   "en": "Surrogate Loss Computation",
   "zh": "替代损失计算",
   "level": "l3"
  },
  "CAP_99148dc2": {
   "en": "Performance-Aware Data Selection and Co-training",
   "zh": "性能感知数据选择与协同训练",
   "level": "l3"
  },
  "CAP_3d3f0bcd": {
   "en": "Sub-trajectory Segmentation and DTW Matching",
   "zh": "子轨迹分割与 DTW 匹配",
   "level": "l3"
  },
  "CAP_376a6178": {
   "en": "Velocity-based Sub-trajectory Segmentation",
   "zh": "基于速度阈值的子轨迹分割",
   "level": "l3"
  },
  "CAP_52121b02": {
   "en": "Subsequence DTW Distance Computation",
   "zh": "子序列 DTW 距离计算",
   "level": "l3"
  },
  "CAP_f9749303": {
   "en": "Domain Mixture Weight Optimization",
   "zh": "域混合权重优化",
   "level": "l3"
  },
  "CAP_1f853270": {
   "en": "ROSBag2 CLI Recording and Playback Pipeline",
   "zh": "ROS2 rosbag2 CLI 记录回放管道",
   "level": "l2"
  },
  "CAP_ae7d5b80": {
   "en": "Storage Backend Configuration",
   "zh": "录制存储后端配置与插件选择",
   "level": "l3"
  },
  "CAP_cacd1053": {
   "en": "Recording Process Control",
   "zh": "录制过程分片快照暂停压缩控制",
   "level": "l3"
  },
  "CAP_dddd644d": {
   "en": "Bag Timestamp-Ordered Playback",
   "zh": "Bag 时间戳顺序回放复现",
   "level": "l3"
  },
  "CAP_6dd7f6ee": {
   "en": "Columnar .rrd File Write",
   "zh": "列式 .rrd 文件写入",
   "level": "l3"
  },
  "CAP_be85371e": {
   "en": "Training Dataloader Streaming",
   "zh": "训练 Dataloader 流式消费",
   "level": "l3"
  },
  "CAP_b224a744": {
   "en": "Rerun SDK Recording and Training Pipeline",
   "zh": "Rerun SDK 记录与训练数据管道",
   "level": "l2"
  },
  "CAP_3b1072e1": {
   "en": "Third-Party Format Ingestion",
   "zh": "第三方格式摄入转 .rrd",
   "level": "l3"
  },
  "CAP_b7835b2d": {
   "en": "Catalog Indexing and Registration",
   "zh": "Catalog 索引注册与数据集管理",
   "level": "l3"
  },
  "CAP_db1747af": {
   "en": "Multi-Panel Layout Configuration",
   "zh": "多面板布局配置",
   "level": "l3"
  },
  "CAP_fac443fd": {
   "en": "Foxglove Visualization Playback",
   "zh": "Foxglove 可视化回放",
   "level": "l2"
  },
  "CAP_64399d58": {
   "en": "Rosbag2StoragePluginLoading",
   "zh": "Rosbag2存储插件加载",
   "level": "l3"
  },
  "CAP_3071bae3": {
   "en": "DDS-Security Governance Rule Authoring",
   "zh": "DDS-Security Governance 规则编写",
   "level": "l3"
  },
  "CAP_80c32028": {
   "en": "DDS-Security Permissions Rule Authoring",
   "zh": "DDS-Security Permissions 规则编写",
   "level": "l3"
  },
  "CAP_e63e30fe": {
   "en": "DDS-Security AccessControl Plugin Loading Config",
   "zh": "DDS-Security AccessControl 插件加载配置",
   "level": "l3"
  },
  "CAP_abb67580": {
   "en": "SROS2 Policy Auto-Discovery",
   "zh": "SROS2 策略自动发现",
   "level": "l3"
  },
  "CAP_9139998d": {
   "en": "Network-Edge Topic Allowlist Policy Design",
   "zh": "网络边缘 topic 白名单策略设计",
   "level": "l3"
  },
  "CAP_420fb26d": {
   "en": "DDS Auth Vendor Native Plugin Config",
   "zh": "DDS厂商原生认证插件配置",
   "level": "l2"
  },
  "CAP_0329802e": {
   "en": "DDS Auth Plugin Local Init",
   "zh": "DDS:Auth:PKI-DH插件本地初始化",
   "level": "l3"
  },
  "CAP_bc828823": {
   "en": "DDS Auth External CA Policy",
   "zh": "DDS身份签发策略定义（外部CA集成）",
   "level": "l2"
  },
  "CAP_5ae95180": {
   "en": "DDS Auth External CA Issuance",
   "zh": "DDS节点外部CA签发调用",
   "level": "l3"
  },
  "CAP_d5f631ba": {
   "en": "ACME Public CA Certificate Lifecycle",
   "zh": "ACME 公共 CA 证书生命周期",
   "level": "l2"
  },
  "CAP_3a1b2c3d4e": {
   "en": "OpenSSL CA Certificate Generation",
   "zh": "OpenSSL CA证书生成",
   "level": "l3"
  },
  "CAP_4d5e6f7a8b": {
   "en": "OpenSSL Participant Certificate Issuance",
   "zh": "OpenSSL参与者证书签发",
   "level": "l3"
  },
  "CAP_5a6b7c8d9e": {
   "en": "Vendor Native Auth Plugin Property Config",
   "zh": "DDS厂商原生认证插件属性配置",
   "level": "l3"
  },
  "CAP_9a0b1c2d3e": {
   "en": "External CA DDS Identity Policy Definition",
   "zh": "外部CA DDS身份签发策略定义",
   "level": "l3"
  },
  "CAP_2a3b4c5d6e": {
   "en": "ACME Certificate Automation for DDS",
   "zh": "DDS ACME证书自动化",
   "level": "l3"
  },
  "CAP_aa679b78": {
   "en": "DDS-Security Governance Encryption Policy Authoring and Signing",
   "zh": "DDS-Security Governance加密策略编排与签发",
   "level": "l2"
  },
  "CAP_16c585a6": {
   "en": "Sensitive Topic and Protection Level Identification",
   "zh": "敏感主题与保护等级识别",
   "level": "l3"
  },
  "CAP_8103ebb0": {
   "en": "Domain-Level Protection Strategy Selection",
   "zh": "域级保护策略选择",
   "level": "l3"
  },
  "CAP_1711683a": {
   "en": "AES Key Length Selection for DDS Crypto",
   "zh": "DDS Crypto AES密钥长度选择",
   "level": "l3"
  },
  "CAP_ab4bc9a2": {
   "en": "Governance XML Authoring per XSD Schema",
   "zh": "按XSD编写governance.xml",
   "level": "l3"
  },
  "CAP_c6d0518b": {
   "en": "Governance S/MIME Signing with Permissions CA",
   "zh": "使用Permissions CA私钥S/MIME签名governance",
   "level": "l3"
  },
  "CAP_be755d0d": {
   "en": "Governance Signature Integrity Verification",
   "zh": "governance签名完整性验证",
   "level": "l3"
  },
  "CAP_8ad638df": {
   "en": "Governance Loading via DomainParticipantQos",
   "zh": "通过DomainParticipantQos加载governance",
   "level": "l3"
  },
  "CAP_ed773256": {
   "en": "Governance Loading Error Diagnosis",
   "zh": "governance加载错误诊断",
   "level": "l3"
  },
  "CAP_1999e7c4": {
   "en": "SROS2 Network Traffic Inspection",
   "zh": "SROS2网络流量检查",
   "level": "l3"
  },
  "CAP_ddfdbf2d": {
   "en": "DDS:Crypto Plugin Activation and Session Key Derivation",
   "zh": "DDS:Crypto插件激活与会话密钥派生",
   "level": "l2"
  },
  "CAP_dfc885f7": {
   "en": "Cryptographic Plugin Activation and Configuration",
   "zh": "Cryptographic插件激活与配置",
   "level": "l3"
  },
  "CAP_8a35cc08": {
   "en": "Kx Kc Session Key Derivation via HMAC-SHA256",
   "zh": "Kx Kc会话密钥HMAC-SHA256派生",
   "level": "l3"
  },
  "CAP_be9345c1": {
   "en": "Participant Crypto Handle Registration",
   "zh": "Participant Crypto Handle注册",
   "level": "l3"
  },
  "CAP_91281980": {
   "en": "Entity-Level Crypto Token Exchange",
   "zh": "实体级Crypto Token交换",
   "level": "l3"
  },
  "CAP_aed064ad": {
   "en": "RTPS AES-GCM Encryption Layer Selection",
   "zh": "RTPS AES-GCM加密层选择",
   "level": "l3"
  },
  "CAP_7ab3b713": {
   "en": "AES-GCM Decryption and GMAC Verification",
   "zh": "AES-GCM解密与GMAC验证",
   "level": "l3"
  },
  "CAP_4d7537a1": {
   "en": "Cross-Vendor DDS Encryption XML Configuration Deployment",
   "zh": "跨DDS实现加密XML配置部署",
   "level": "l2"
  },
  "CAP_a2c396f7": {
   "en": "Vendor DDS Security Compilation",
   "zh": "厂商DDS安全编译启用",
   "level": "l3"
  },
  "CAP_d0f75451": {
   "en": "Vendor DDS XML Profile Authoring",
   "zh": "厂商DDS XML配置编写",
   "level": "l3"
  },
  "CAP_eca22b10": {
   "en": "Keystore Deployment and Permission Configuration",
   "zh": "keystore部署与权限配置",
   "level": "l3"
  },
  "CAP_0fc2c3b4": {
   "en": "Vendor DDS Environment Variable Configuration",
   "zh": "厂商DDS环境变量配置",
   "level": "l3"
  },
  "CAP_d57e6396": {
   "en": "Security Plugin Load Verification",
   "zh": "安全插件加载验证",
   "level": "l3"
  },
  "CAP_72b30178": {
   "en": "Vendor Monitoring Tool Verification",
   "zh": "厂商监控工具验证",
   "level": "l3"
  },
  "CAP_a9c07b6b": {
   "en": "Cross-Vendor Migration Verification",
   "zh": "跨厂商迁移验证",
   "level": "l3"
  },
  "CAP_563be00f": {
   "en": "DDS Implementation Base Configuration",
   "zh": "DDS实现选型与基础配置",
   "level": "l2"
  },
  "CAP_90432250": {
   "en": "DDS Security Enforce Strategy",
   "zh": "DDS安全强制策略",
   "level": "l3"
  },
  "CAP_304e188f": {
   "en": "DDS QoS Profile XML Loading",
   "zh": "DDS QoS Profile XML加载",
   "level": "l3"
  },
  "CAP_e8fe3b93": {
   "en": "DDS-XRCE MCU Bridge",
   "zh": "DDS-XRCE MCU桥接",
   "level": "l2"
  },
  "CAP_a03ae8f6": {
   "en": "Micro-ROS Pub/Sub Verification",
   "zh": "micro-ROS发布订阅验证",
   "level": "l3"
  },
  "CAP_ff92b176": {
   "en": "XRCE Agent Build and Launch",
   "zh": "XRCE Agent构建与启动",
   "level": "l3"
  },
  "CAP_e22bcd19": {
   "en": "XRCE Client Build",
   "zh": "XRCE Client构建裁剪",
   "level": "l3"
  },
  "CAP_c5188e6d": {
   "en": "DDS QoS Profile XML Authoring",
   "zh": "DDS QoS Profile XML编写",
   "level": "l2"
  },
  "CAP_bcc98f8d": {
   "en": "DDS QoS Profile Application",
   "zh": "DDS QoS Profile应用",
   "level": "l2"
  },
  "CAP_703c94cc": {
   "en": "Fast-DDS XML Profile Authoring",
   "zh": "Fast-DDS XML Profile编写",
   "level": "l3"
  },
  "CAP_89920f05": {
   "en": "Fast-DDS XML Profile Loading",
   "zh": "Fast-DDS XML Profile加载",
   "level": "l3"
  },
  "CAP_71ce601c": {
   "en": "Fast-DDS XML Profile Application and Name Lookup",
   "zh": "Fast-DDS XML Profile应用与按名查找",
   "level": "l3"
  },
  "CAP_b75bc22e": {
   "en": "Cyclone DDS Global XML Config Authoring",
   "zh": "Cyclone DDS全局XML配置编写",
   "level": "l3"
  },
  "CAP_fdf15f31": {
   "en": "Cyclone DDS URI Loading",
   "zh": "Cyclone DDS CYCLONEDDS_URI加载",
   "level": "l3"
  },
  "CAP_15a8753a": {
   "en": "Cyclone DDS Middleware-QoS Separation",
   "zh": "Cyclone DDS中间件与QoS分工",
   "level": "l3"
  },
  "CAP_867b3722": {
   "en": "RTI Connext XML QoS Library Authoring",
   "zh": "RTI Connext XML QoS Library编写",
   "level": "l3"
  },
  "CAP_57b5b2bf": {
   "en": "RTI Connext QoS Profile Inheritance and Composition",
   "zh": "RTI Connext QoS Profile继承与组合",
   "level": "l3"
  },
  "CAP_0041653e": {
   "en": "RTI Connext XML QoS Profile Loading",
   "zh": "RTI Connext XML QoS Profile加载",
   "level": "l3"
  },
  "CAP_a50373bb": {
   "en": "RTI Connext XML QoS Profile Application",
   "zh": "RTI Connext XML QoS Profile应用",
   "level": "l3"
  },
  "CAP_8a4b78cb": {
   "en": "DDS-Security Policy File Spec-Native Management",
   "zh": "DDS-Security 策略文件规范原生管理",
   "level": "l2"
  },
  "CAP_a9d90ca1": {
   "en": "Governance Policy Document Authoring",
   "zh": "Governance 域级安全策略文件编写",
   "level": "l3"
  },
  "CAP_c491e1a3": {
   "en": "Permissions Document Authoring",
   "zh": "Permissions 参与者级权限文件编写",
   "level": "l3"
  },
  "CAP_6aafb68c": {
   "en": "Permissions CA Certificate Generation",
   "zh": "Permissions CA 证书生成",
   "level": "l3"
  },
  "CAP_a7b2dff1": {
   "en": "Policy Document QoS Binding",
   "zh": "策略文件 QoS 属性绑定",
   "level": "l3"
  },
  "CAP_aa756cdd": {
   "en": "DDS Policy Runtime Enforcement",
   "zh": "DDS 策略运行时加载与强制执行",
   "level": "l3"
  },
  "CAP_97621cdf": {
   "en": "SROS2 Policy Introspective Generation",
   "zh": "SROS2 策略内省生成",
   "level": "l3"
  },
  "CAP_96c25cb0": {
   "en": "Deadline QoS Event-Driven Handling",
   "zh": "Deadline QoS 事件驱动处理",
   "level": "l2"
  },
  "CAP_266baabe": {
   "en": "Deadline QoS Duration Configuration",
   "zh": "Deadline QoS duration 配置与兼容性校验",
   "level": "l3"
  },
  "CAP_051bbfc8": {
   "en": "Requested Deadline Missed Recovery",
   "zh": "Requested deadline-missed 恢复 handler",
   "level": "l3"
  },
  "CAP_26d61779": {
   "en": "Offered Deadline Missed Recovery",
   "zh": "Offered deadline-missed 恢复 handler",
   "level": "l3"
  },
  "CAP_5ec9d7fb": {
   "en": "DDS Deadline Timer Monitoring",
   "zh": "DDS 截止时间定时器监控",
   "level": "l3"
  },
  "CAP_5a093ce7": {
   "en": "Deadline QoS Introspection and Diagnostics",
   "zh": "Deadline QoS 内省与诊断",
   "level": "l3"
  },
  "CAP_2f6ef5ac": {
   "en": "Deadline Scheduling Deployment",
   "zh": "截止时间调度部署",
   "level": "l2"
  },
  "CAP_12f7fb1a": {
   "en": "Deadline Time Window Modeling",
   "zh": "截止时间窗建模",
   "level": "l3"
  },
  "CAP_ca12dc5e": {
   "en": "Sched Deadline Parameter Admission",
   "zh": "SCHED_DEADLINE 参数声明与准入",
   "level": "l3"
  },
  "CAP_38c28d56": {
   "en": "EDF Priority Assignment",
   "zh": "EDF优先级赋值",
   "level": "l3"
  },
  "CAP_9350f371": {
   "en": "CBS Runtime Throttle Isolation",
   "zh": "CBS runtime 超限 throttle 隔离",
   "level": "l3"
  },
  "CAP_1340512f": {
   "en": "GRUB Bandwidth Reclaiming",
   "zh": "GRUB 带宽回收优化",
   "level": "l3"
  },
  "CAP_00e00521": {
   "en": "Deadline Overrun Signal Notification",
   "zh": "Deadline 违约检测与信号通知",
   "level": "l3"
  },
  "CAP_0f245ec2": {
   "en": "EDF Schedulability Analysis",
   "zh": "EDF 可调度性分析",
   "level": "l2"
  },
  "CAP_15061209": {
   "en": "Density Test",
   "zh": "密度测试",
   "level": "l3"
  },
  "CAP_9ebd0040": {
   "en": "RTA Schedulability Analysis",
   "zh": "RTA 可调度性分析",
   "level": "l3"
  },
  "CAP_229b3949": {
   "en": "EDF Latency Measurement",
   "zh": "EDF 延迟测量",
   "level": "l2"
  },
  "CAP_4bbc0ca9": {
   "en": "Periodic Load Generation",
   "zh": "周期负载生成",
   "level": "l3"
  },
  "CAP_073a35f7": {
   "en": "Runtime Scheduling State Monitoring",
   "zh": "运行时调度状态监控",
   "level": "l3"
  },
  "CAP_645971c0": {
   "en": "Auction-Based Deadline-Aware Multi-Robot Scheduling",
   "zh": "基于拍卖的截止时间感知多机器人调度",
   "level": "l2"
  },
  "CAP_c90f107f": {
   "en": "STN Schedule Consistency Maintenance",
   "zh": "STN 调度一致性维护",
   "level": "l3"
  },
  "CAP_6615bfa2": {
   "en": "Temporal Sequential Single-Item Auction",
   "zh": "时序顺序单项拍卖",
   "level": "l3"
  },
  "CAP_2e35209c": {
   "en": "Makespan-Based Bid Computation",
   "zh": "基于 makespan 的出价计算",
   "level": "l3"
  },
  "CAP_27803092": {
   "en": "Schedule Dispatchability Check",
   "zh": "调度可派发性检查",
   "level": "l3"
  },
  "CAP_9aeaadfd": {
   "en": "Auction-Based Deadline Violation Recovery",
   "zh": "拍卖-based 截止时间违约恢复",
   "level": "l3"
  },
  "CAP_cd0b4d36": {
   "en": "Watchdog Device and Timeout Configuration",
   "zh": "看门狗设备与超时配置",
   "level": "l2"
  },
  "CAP_12e2c849": {
   "en": "Watchdog Task Subscription and Checkpoint Registration",
   "zh": "WdgM Deadline Supervision 配置（任务级检查点注册）",
   "level": "l3"
  },
  "CAP_085aa649": {
   "en": "Watchdog Heartbeat Feed",
   "zh": "周期喂狗与心跳",
   "level": "l2"
  },
  "CAP_27eacd92": {
   "en": "Watchdog Timeout Detection and Recovery Hook",
   "zh": "看门狗超时检测与恢复钩子触发",
   "level": "l3"
  },
  "CAP_13f07ea4": {
   "en": "Watchdog Safe-State Recovery Action Execution",
   "zh": "WdgM Deadline 监督恢复（安全状态转移执行）",
   "level": "l2"
  },
  "CAP_70b2b87c": {
   "en": "Watchdog Timeout-Triggered Failsafe Policy Management",
   "zh": "超时触发安全模式策略参数管理",
   "level": "l3"
  },
  "CAP_21e3c3a5": {
   "en": "Deadline QoS Contract Configuration",
   "zh": "Deadline QoS 契约配置",
   "level": "l3"
  },
  "CAP_4f80cab0": {
   "en": "Multi-Level Degradation Action Execution",
   "zh": "多级降级动作执行",
   "level": "l2"
  },
  "CAP_a404ba0c": {
   "en": "Diagnostic Alert Publication and Recovery Detection",
   "zh": "诊断告警发布与恢复检测",
   "level": "l2"
  },
  "CAP_30b08bdc": {
   "en": "Weakly-Hard (m,k)-firm Window Constraint Definition",
   "zh": "弱硬(m,k)-firm窗口约束定义",
   "level": "l2"
  },
  "CAP_8861731f": {
   "en": "Dynamic Window-Constrained Scheduling (DWCS)",
   "zh": "动态窗口约束调度",
   "level": "l2"
  },
  "CAP_9d3697c2": {
   "en": "Distance-Based Priority (DBP) Escalation",
   "zh": "基于距离的优先级升级",
   "level": "l3"
  },
  "CAP_a8393794": {
   "en": "Control Lower Bound Evaluation Under (m,k)-firm Miss",
   "zh": "(m,k)-firm miss下控制性能下界评估",
   "level": "l2"
  },
  "CAP_a525011b": {
   "en": "Offline Compliance Tuning for (m,k) Constraints",
   "zh": "(m,k)约束离线符合性调优",
   "level": "l3"
  },
  "CAP_a0658500": {
   "en": "Hold Last-Known-Good Value",
   "zh": "保持末次有效值",
   "level": "l3"
  },
  "CAP_0eb5f2fb": {
   "en": "Activate Fallback Controller",
   "zh": "激活备选控制器",
   "level": "l3"
  },
  "CAP_0a1990fe": {
   "en": "Recovery Detection and Exit",
   "zh": "恢复检测与退出",
   "level": "l3"
  },
  "CAP_f4efeade": {
   "en": "Window State Maintenance",
   "zh": "窗口状态维护",
   "level": "l3"
  },
  "CAP_ad55293e": {
   "en": "Miss Pattern Recording",
   "zh": "miss模式记录",
   "level": "l3"
  },
  "CAP_3aaed40a": {
   "en": "Watchdog Device Initialization",
   "zh": "看门狗设备初始化",
   "level": "l3"
  },
  "CAP_91c1ac05": {
   "en": "Periodic Heartbeat Feed",
   "zh": "周期喂狗",
   "level": "l3"
  },
  "CAP_0898b10d": {
   "en": "Safe-State Mode Transition",
   "zh": "安全模式转移",
   "level": "l3"
  },
  "CAP_ed5ffe1d": {
   "en": "Restart Process or Hold Last Command",
   "zh": "重启进程或保持末次指令",
   "level": "l3"
  },
  "CAP_bfacc70a": {
   "en": "Escalate and Verify Recovery",
   "zh": "升级策略与恢复验证",
   "level": "l3"
  },
  "CAP_361c9036": {
   "en": "Window Constraint Definition",
   "zh": "窗口约束定义",
   "level": "l3"
  },
  "CAP_e4d038a8": {
   "en": "Linux Deadline Overrun Recovery",
   "zh": "Linux 截止时间超限恢复",
   "level": "l2"
  },
  "CAP_1dd5cd16": {
   "en": "DL Timer Replenishment",
   "zh": "dl_timer replenishment 周期重置",
   "level": "l3"
  },
  "CAP_19f02568": {
   "en": "Overrun Degradation Handler",
   "zh": "用户态 overrun 降级 handler",
   "level": "l3"
  },
  "CAP_1fac4d8c": {
   "en": "Sched Yield Job Drop",
   "zh": "sched_yield 主动 drop 当前作业",
   "level": "l3"
  },
  "CAP_f8547f82": {
   "en": "DDS Deadline QoS Recovery",
   "zh": "DDS Deadline QoS 违约恢复",
   "level": "l2"
  },
  "CAP_6ee98669": {
   "en": "WdgM Deadline Supervision Recovery",
   "zh": "WdgM Deadline 监督恢复",
   "level": "l2"
  },
  "CAP_47016ced": {
   "en": "WdgM Deadline Supervision Configuration",
   "zh": "WdgM Deadline Supervision 配置",
   "level": "l3"
  },
  "CAP_783bdc0a": {
   "en": "Checkpoint Timing Window Check",
   "zh": "Checkpoint 到达计时与窗口判定",
   "level": "l3"
  },
  "CAP_3d0680d9": {
   "en": "SE Local Status State Machine",
   "zh": "SE Local Status 状态机",
   "level": "l3"
  },
  "CAP_8147e03f": {
   "en": "WdgM Global Status Aggregation",
   "zh": "WdgM Global Status 汇总状态机",
   "level": "l3"
  },
  "CAP_da059e6b": {
   "en": "EcuM Mode Transition Recovery",
   "zh": "EcuM 模式迁移恢复",
   "level": "l3"
  },
  "CAP_f693d4ba": {
   "en": "Hardware Watchdog Reset",
   "zh": "硬件看门狗复位落点",
   "level": "l3"
  },
  "CAP_71c451d5": {
   "en": "Controller Cycle Recovery",
   "zh": "控制周期违规恢复",
   "level": "l2"
  },
  "CAP_4d827a8b": {
   "en": "Periodicity Violation Diagnostics",
   "zh": "周期性违规诊断检测",
   "level": "l3"
  },
  "CAP_a6924004": {
   "en": "Controller Exception Handling",
   "zh": "异常捕获防崩溃",
   "level": "l3"
  },
  "CAP_7c460ada": {
   "en": "Hardware Self Deactivate Linkage",
   "zh": "硬件自降级联动 deactivate",
   "level": "l3"
  },
  "CAP_4e1b2bf1": {
   "en": "Deadline QoS Static Configuration",
   "zh": "Deadline QoS 静态配置",
   "level": "l2"
  },
  "CAP_abe54213": {
   "en": "Deadline Duration Selection and Profile Construction",
   "zh": "Deadline 时长选择与 Profile 构造",
   "level": "l3"
  },
  "CAP_02a014d4": {
   "en": "Deadline RxO Compatibility Verification",
   "zh": "Deadline RxO 兼容性校验",
   "level": "l3"
  },
  "CAP_4060902e": {
   "en": "Deadline Missed Event Detection and Response",
   "zh": "Deadline 超时事件检测与响应",
   "level": "l2"
  },
  "CAP_c1c895ab": {
   "en": "Deadline Missed Event Callback Registration",
   "zh": "Deadline 超时回调注册",
   "level": "l3"
  },
  "CAP_13be3a67": {
   "en": "Deadline Missed Status Processing",
   "zh": "Deadline 超时状态处理",
   "level": "l3"
  },
  "CAP_9e0dde66": {
   "en": "Deadline QoS Introspection and Diagnosis",
   "zh": "Deadline QoS 内省与诊断",
   "level": "l2"
  },
  "CAP_c9ba73fb": {
   "en": "Deadline QoS Value Introspection",
   "zh": "Deadline QoS 值内省",
   "level": "l3"
  },
  "CAP_aa021dc8": {
   "en": "Deadline Miss Visualization",
   "zh": "Deadline 超时可视化",
   "level": "l3"
  },
  "CAP_f590514a": {
   "en": "DDS Deadline Status Query",
   "zh": "DDS Deadline 状态查询",
   "level": "l3"
  },
  "CAP_aa588820": {
   "en": "TPG Construction",
   "zh": "时序计划图构造",
   "level": "l2"
  },
  "CAP_2a57e2fb": {
   "en": "TPG Runtime Execution",
   "zh": "TPG 运行时执行",
   "level": "l2"
  },
  "CAP_4f225af5": {
   "en": "TPG Edge Construction",
   "zh": "TPG 边构造",
   "level": "l3"
  },
  "CAP_523087ea": {
   "en": "TPG Acyclicity Verification",
   "zh": "TPG 无环性验证与 BTPG 放松",
   "level": "l3"
  },
  "CAP_7dc61dac": {
   "en": "TPG Dependency Query Execution",
   "zh": "TPG 依赖查询执行",
   "level": "l3"
  },
  "CAP_bb0602e7": {
   "en": "TPG Execution Wait Statistics",
   "zh": "TPG 执行等待统计",
   "level": "l3"
  },
  "CAP_76963b84": {
   "en": "Lifelong Task Stream Management",
   "zh": "终身任务流管理",
   "level": "l2"
  },
  "CAP_a1562525": {
   "en": "Deadlock Recovery Holding",
   "zh": "死锁恢复保持策略",
   "level": "l2"
  },
  "CAP_752d1f01": {
   "en": "Task Stream Reception and Agent Assignment",
   "zh": "任务流接收与智能体分配",
   "level": "l3"
  },
  "CAP_e6d106df": {
   "en": "Dummy Destination Allocation",
   "zh": "虚拟目标分配",
   "level": "l3"
  },
  "CAP_56c02ca8": {
   "en": "Horizon Step Execution",
   "zh": "视界步执行与推进",
   "level": "l3"
  },
  "CAP_06903313": {
   "en": "Replanning Failure Detection",
   "zh": "重规划失败检测",
   "level": "l3"
  },
  "CAP_40359572": {
   "en": "Holding Retry Strategy",
   "zh": "保持重试策略",
   "level": "l3"
  },
  "CAP_5f557b11": {
   "en": "Runtime Cycle Detection Avoidance",
   "zh": "运行时环检测与死锁避免",
   "level": "l2"
  },
  "CAP_1587491a": {
   "en": "AGV Zone Partition",
   "zh": "AGV 区域划分",
   "level": "l3"
  },
  "CAP_2aae2efd": {
   "en": "Resource Allocation Graph Update",
   "zh": "资源分配图更新",
   "level": "l3"
  },
  "CAP_63f5f468": {
   "en": "Resource Allocation Graph Cycle Detection",
   "zh": "资源分配图环检测",
   "level": "l3"
  },
  "CAP_d059736d": {
   "en": "Deadlock Avoidance Strategy Injection",
   "zh": "死锁避免策略注入",
   "level": "l3"
  },
  "CAP_91c76cc4": {
   "en": "Deadlock Free Schedule Dispatch",
   "zh": "无死锁调度分发",
   "level": "l3"
  },
  "CAP_2f618730": {
   "en": "Petri Net Traffic Modeling",
   "zh": "Petri 网交通建模",
   "level": "l2"
  },
  "CAP_2ea189a7": {
   "en": "Siphon Trap Liveness Analysis",
   "zh": "虹吸陷阱活性分析",
   "level": "l2"
  },
  "CAP_de07a2a6": {
   "en": "Multi Robot Traffic Petri Net Modeling",
   "zh": "多机器人交通 Petri 网建模",
   "level": "l3"
  },
  "CAP_4ceb3391": {
   "en": "Petri Net Marking and Transition Rules",
   "zh": "Petri 网标识与变迁规则",
   "level": "l3"
  },
  "CAP_7af8a8e3": {
   "en": "Siphon Trap Deadlock Analysis",
   "zh": "Siphon Trap 死锁分析",
   "level": "l3"
  },
  "CAP_8c1e09aa": {
   "en": "Liveness Enforcing Control Place Design",
   "zh": "活性保持控制位设计",
   "level": "l3"
  },
  "CAP_cd7c9aae": {
   "en": "Control Place Constraint Execution",
   "zh": "控制位约束执行",
   "level": "l3"
  },
  "CAP_1df0ccb6": {
   "en": "MARL MAPF Environment Design",
   "zh": "MARL MAPF 环境设计",
   "level": "l2"
  },
  "CAP_978f58b6": {
   "en": "Decentralized Policy Deployment",
   "zh": "去中心化策略部署",
   "level": "l2"
  },
  "CAP_56dd0926": {
   "en": "MAPF Environment Modeling and Local Observation",
   "zh": "MAPF 环境建模与局部观测",
   "level": "l3"
  },
  "CAP_9b2104a0": {
   "en": "Cooperative Reward Design with Deadlock Penalty",
   "zh": "协作奖励设计（含死锁惩罚）",
   "level": "l3"
  },
  "CAP_a6ac5dc4": {
   "en": "Imitation Learning Expert Demonstration Injection",
   "zh": "模仿学习专家演示注入",
   "level": "l3"
  },
  "CAP_f21b2717": {
   "en": "Distributed Policy Inference",
   "zh": "分布式策略推理",
   "level": "l3"
  },
  "CAP_3ff89545": {
   "en": "Learned Policy Deadlock Rate Evaluation",
   "zh": "学习策略死锁率评估",
   "level": "l3"
  },
  "CAP_aa0b1c2d": {
   "en": "CBBA Bid Computation",
   "zh": "CBBA出价计算",
   "level": "l3"
  },
  "CAP_ee4f5a6b": {
   "en": "CBBA Neighbor Communication",
   "zh": "CBBA邻居通信",
   "level": "l3"
  },
  "CAP_d66a1c40": {
   "en": "Auction Consensus and Award Resolution",
   "zh": "拍卖共识与中标消解",
   "level": "l3"
  },
  "CAP_8d1c61d7": {
   "en": "Task Announcement and Bid Eligibility",
   "zh": "任务发布与投标资格评估",
   "level": "l3"
  },
  "CAP_2bcf9538": {
   "en": "Prioritized Cooperative Path Planning",
   "zh": "优先级合作路径规划",
   "level": "l2"
  },
  "CAP_5eeabb1f": {
   "en": "Single-Agent Perception and Mapping",
   "zh": "单机感知建图",
   "level": "l2"
  },
  "CAP_0cd90981": {
   "en": "VIO Odometry Estimation",
   "zh": "VIO里程计估计",
   "level": "l3"
  },
  "CAP_e5403ef6": {
   "en": "Depth-to-GridMap Conversion",
   "zh": "深度图转栅格建图",
   "level": "l3"
  },
  "CAP_ff5cb428": {
   "en": "Agent Removal from Depth Images",
   "zh": "深度图邻居剔除",
   "level": "l3"
  },
  "CAP_f3170b3f": {
   "en": "Implicit Topological Trajectory Generation and B-spline Optimization",
   "zh": "隐式拓扑轨迹生成与B样条优化",
   "level": "l2"
  },
  "CAP_bd6f34ae": {
   "en": "Global Reference Trajectory Generation",
   "zh": "全局参考轨迹生成",
   "level": "l3"
  },
  "CAP_819fecf1": {
   "en": "Local Target Point Selection",
   "zh": "局部目标点选取",
   "level": "l3"
  },
  "CAP_4751b808": {
   "en": "Initial B-spline Control Points Generation",
   "zh": "初始B样条控制点生成",
   "level": "l3"
  },
  "CAP_1d4353f9": {
   "en": "Polynomial Trajectory Initialization",
   "zh": "多项式轨迹初始化",
   "level": "l3"
  },
  "CAP_374a2acc": {
   "en": "Previous Trajectory Extension",
   "zh": "前一轨迹延伸",
   "level": "l3"
  },
  "CAP_995b986a": {
   "en": "Implicit Topological Path Search",
   "zh": "隐式拓扑路径搜索",
   "level": "l3"
  },
  "CAP_5c3661e6": {
   "en": "B-spline Trajectory Optimization",
   "zh": "B样条轨迹优化",
   "level": "l3"
  },
  "CAP_82f78786": {
   "en": "Multi-Topology Parallel Optimization",
   "zh": "多拓扑并行优化",
   "level": "l3"
  },
  "CAP_96610748": {
   "en": "Single Trajectory Optimization",
   "zh": "单轨迹优化",
   "level": "l3"
  },
  "CAP_a7ab161e": {
   "en": "Time Reallocation",
   "zh": "时间重分配",
   "level": "l3"
  },
  "CAP_dac3c1ab": {
   "en": "Trajectory Broadcast and Neighbor Reception",
   "zh": "轨迹广播与邻居轨迹接收",
   "level": "l3"
  },
  "CAP_e0d80b4b": {
   "en": "Trajectory Serialization and Broadcast",
   "zh": "轨迹序列化与广播",
   "level": "l3"
  },
  "CAP_c50444fd": {
   "en": "Neighbor Trajectory Reception and Buffering",
   "zh": "邻居轨迹接收与缓存",
   "level": "l3"
  },
  "CAP_e320daa1": {
   "en": "Chain Network Time Synchronization",
   "zh": "链式网络时间同步",
   "level": "l3"
  },
  "CAP_abfedcc8": {
   "en": "Swarm Reciprocal Avoidance Penalty and Collision-Triggered Replanning",
   "zh": "群体互避让惩罚优化与碰撞触发重规划",
   "level": "l3"
  },
  "CAP_0826be0c": {
   "en": "Neighbor Trajectory Penalty Integration",
   "zh": "邻居轨迹惩罚项集成",
   "level": "l3"
  },
  "CAP_320e2fe4": {
   "en": "Swarm Collision Detection",
   "zh": "群体碰撞检测",
   "level": "l3"
  },
  "CAP_d4789579": {
   "en": "Collision-Triggered Replanning",
   "zh": "碰撞触发重规划",
   "level": "l3"
  },
  "CAP_2f381f0e": {
   "en": "Trigger Replanning",
   "zh": "触发重规划",
   "level": "l3"
  },
  "CAP_7d651b66": {
   "en": "Maintain Current Trajectory",
   "zh": "维持当前轨迹",
   "level": "l3"
  },
  "CAP_86bab142": {
   "en": "Localization Drift Compensation and Trajectory Execution",
   "zh": "定位漂移补偿与轨迹执行",
   "level": "l3"
  },
  "CAP_488d95a6": {
   "en": "Agent Detection in Depth Images",
   "zh": "深度图邻居检测",
   "level": "l3"
  },
  "CAP_7f3de4bf": {
   "en": "Drift Estimation and Compensation",
   "zh": "漂移估计与补偿",
   "level": "l3"
  },
  "CAP_a4ef1635": {
   "en": "Decentralized Swarm Trajectory Planning with Reciprocal Avoidance",
   "zh": "去中心化群体轨迹规划与互避让",
   "level": "l2"
  },
  "CAP_e4069f41": {
   "en": "ESDF-Free B-spline Local Planning",
   "zh": "ESDF-free B样条局部规划",
   "level": "l3"
  },
  "CAP_638364ad": {
   "en": "Implicit Topological Trajectory Generation",
   "zh": "隐式拓扑轨迹生成",
   "level": "l3"
  },
  "CAP_48c129be": {
   "en": "Swarm Trajectory Broadcast Protocol",
   "zh": "群体轨迹广播协议",
   "level": "l3"
  },
  "CAP_9be31ea5": {
   "en": "Neighbor Trajectory Buffering and Collision-Triggered Replanning",
   "zh": "邻居轨迹缓存与碰撞触发重规划",
   "level": "l3"
  },
  "CAP_736c9de7": {
   "en": "Swarm Collision Penalty Optimization",
   "zh": "群体碰撞惩罚项优化",
   "level": "l3"
  },
  "CAP_8f238919": {
   "en": "Decentralized Swarm Perception",
   "zh": "去中心化群体感知",
   "level": "l2"
  },
  "CAP_f1e312e2": {
   "en": "Local Sensing and State Estimation",
   "zh": "局部感知与状态估计",
   "level": "l3"
  },
  "CAP_4875af45": {
   "en": "Swarm Trajectory Broadcasting",
   "zh": "群体轨迹广播",
   "level": "l3"
  },
  "CAP_db0b2773": {
   "en": "Global Reference Path Generation",
   "zh": "全局参考路径生成",
   "level": "l2"
  },
  "CAP_4452e474": {
   "en": "Global Waypoint Path Generation",
   "zh": "全局路径点生成",
   "level": "l3"
  },
  "CAP_f1f14204": {
   "en": "Local B-spline Trajectory Optimization",
   "zh": "局部B样条轨迹优化",
   "level": "l2"
  },
  "CAP_34679572": {
   "en": "B-spline Replanning",
   "zh": "B样条重规划",
   "level": "l3"
  },
  "CAP_1b27152e": {
   "en": "SO3 Control Command Generation",
   "zh": "SO3控制指令生成",
   "level": "l2"
  },
  "CAP_e83740f0": {
   "en": "SO3 Control Command Dispatch",
   "zh": "SO3控制指令下发",
   "level": "l3"
  },
  "CAP_bb270b9b": {
   "en": "Velocity-Observable Reactive Reciprocal Avoidance (ORCA)",
   "zh": "速度障碍反应式互避让协议",
   "level": "l2"
  },
  "CAP_01a4cf1f": {
   "en": "Neighbor Discovery and State Acquisition",
   "zh": "邻居发现与状态获取",
   "level": "l3"
  },
  "CAP_8cb461c4": {
   "en": "State Broadcast/Sharing",
   "zh": "状态广播/共享",
   "level": "l3"
  },
  "CAP_32234b75": {
   "en": "Relative Quantity Calculation",
   "zh": "相对量计算",
   "level": "l3"
  },
  "CAP_fa8b54e8": {
   "en": "VO Cone Construction",
   "zh": "VO 锥构造",
   "level": "l3"
  },
  "CAP_ab1dabc0": {
   "en": "Time Window Parameter",
   "zh": "时间窗参数",
   "level": "l3"
  },
  "CAP_39fe01a9": {
   "en": "u Vector Calculation",
   "zh": "u 向量计算",
   "level": "l3"
  },
  "CAP_3090d801": {
   "en": "Half-Plane Generation",
   "zh": "半平面生成",
   "level": "l3"
  },
  "CAP_c19cf708": {
   "en": "Special Degeneration Handling",
   "zh": "特殊退化处理",
   "level": "l3"
  },
  "CAP_338de31f": {
   "en": "Multi-Neighbor Half-Plane Intersection",
   "zh": "多邻居半平面求交",
   "level": "l3"
  },
  "CAP_184aac72": {
   "en": "Speed Upper Bound Constraint",
   "zh": "速度上限约束",
   "level": "l3"
  },
  "CAP_5aea07ec": {
   "en": "Static Obstacle Handling",
   "zh": "静态障碍处理",
   "level": "l3"
  },
  "CAP_6d983d25": {
   "en": "2D Linear Programming Solver",
   "zh": "2D 线性规划求解器",
   "level": "l3"
  },
  "CAP_f0dbbedf": {
   "en": "High-Density Degradation Handling",
   "zh": "高密度退化处理",
   "level": "l3"
  },
  "CAP_0aa84691": {
   "en": "Velocity Command Output",
   "zh": "速度命令输出",
   "level": "l3"
  },
  "CAP_00ed8f22": {
   "en": "Loop Scheduling",
   "zh": "循环调度",
   "level": "l3"
  },
  "CAP_fbe03e15": {
   "en": "Neighbor KD-Tree Search and State Perception",
   "zh": "邻居近邻搜索与状态感知",
   "level": "l3"
  },
  "CAP_4179ed5f": {
   "en": "Reciprocal Half-Plane Construction",
   "zh": "半责任半平面构造",
   "level": "l3"
  },
  "CAP_b2d3d912": {
   "en": "Feasible Velocity Region Intersection",
   "zh": "可行速度域求交",
   "level": "l3"
  },
  "CAP_cbd466b9": {
   "en": "Low-Dimensional LP Velocity Optimization",
   "zh": "低维线性规划速度求解",
   "level": "l3"
  },
  "CAP_f3a7d6cf": {
   "en": "Velocity Command Execution and Kinematic Update",
   "zh": "速度命令执行与运动学更新",
   "level": "l3"
  },
  "CAP_70836911": {
   "en": "DMG Scoring Function Definition",
   "zh": "DMG评分函数定义",
   "level": "l3"
  },
  "CAP_a043416d": {
   "en": "CBBA Data Structure Initialization",
   "zh": "CBBA数据结构初始化",
   "level": "l3"
  },
  "CAP_348860d1": {
   "en": "Candidate Task Filtering",
   "zh": "候选任务筛选",
   "level": "l3"
  },
  "CAP_91b5ea0a": {
   "en": "Bundle Length Control",
   "zh": "捆绑长度控制",
   "level": "l3"
  },
  "CAP_a8bd9806": {
   "en": "Neighbor Information Exchange",
   "zh": "邻居信息交换",
   "level": "l3"
  },
  "CAP_29aa8dca": {
   "en": "Timestamp Update for Anti-Echo",
   "zh": "时间戳防回声更新",
   "level": "l3"
  },
  "CAP_feec1307": {
   "en": "Task Execution Path Planning",
   "zh": "任务执行路径规划",
   "level": "l3"
  },
  "CAP_568a3cc8": {
   "en": "Execution Monitoring and Reallocation Trigger",
   "zh": "执行监控与重分配触发",
   "level": "l3"
  },
  "CAP_245390fe": {
   "en": "Diminishing-Marginal-Gain Scoring Function",
   "zh": "边际收益递减评分函数",
   "level": "l3"
  },
  "CAP_34411864": {
   "en": "Anti-Echo Timestamp Synchronization",
   "zh": "防回声时间戳同步",
   "level": "l3"
  },
  "CAP_4916cb59": {
   "en": "Environment-Mediated Indirect Coordination (Stigmergy)",
   "zh": "环境中介的间接协调",
   "level": "l2"
  },
  "CAP_0aaa423a": {
   "en": "Environmental Trace Sensing",
   "zh": "环境痕迹感知",
   "level": "l3"
  },
  "CAP_0b78dc75": {
   "en": "Local Behavior Rule Triggering",
   "zh": "局部行为规则触发",
   "level": "l3"
  },
  "CAP_069e23e0": {
   "en": "Emergent Swarm Coordination",
   "zh": "群体涌现协调",
   "level": "l3"
  },
  "CAP_4bdeccea": {
   "en": "Local Structure Sensing",
   "zh": "局部结构感知",
   "level": "l3"
  },
  "CAP_9fb9aa3d": {
   "en": "Placement Rule Evaluation",
   "zh": "放置规则评估",
   "level": "l3"
  },
  "CAP_1880c44f": {
   "en": "Physical Block Placement",
   "zh": "物理块放置",
   "level": "l3"
  },
  "CAP_0b384b1e": {
   "en": "Local Navigation to Next Cell",
   "zh": "局部导航至下一格点",
   "level": "l3"
  },
  "CAP_7c9516c5": {
   "en": "Consensus-based Decentralized Formation Control",
   "zh": "基于图论一致性的分布式编队控制",
   "level": "l2"
  },
  "CAP_7f6643cf": {
   "en": "Control-Theoretic Flocking Migration",
   "zh": "控制论Flocking迁移",
   "level": "l2"
  },
  "CAP_ee003aa7": {
   "en": "Event-triggered Decentralized Formation Control",
   "zh": "基于事件触发的分布式编队控制",
   "level": "l2"
  },
  "CAP_9ebac92d": {
   "en": "MARL-based Decentralized Formation Control",
   "zh": "基于MARL/CTDE的去中心化编队控制",
   "level": "l2"
  },
  "CAP_0ee8185d": {
   "en": "Decentralized Transport Formation Control",
   "zh": "去中心化搬运编队控制",
   "level": "l3"
  },
  "CAP_231f4ebf": {
   "en": "Alpha-lattice Adjacency Construction",
   "zh": "α-lattice邻接构造",
   "level": "l3"
  },
  "CAP_3222cd99": {
   "en": "Alpha-agent Pairwise Force",
   "zh": "α-agent对势力计算",
   "level": "l3"
  },
  "CAP_8f702325": {
   "en": "Event-triggered Broadcasting Protocol",
   "zh": "事件触发广播协议",
   "level": "l3"
  },
  "CAP_c3e1ae66": {
   "en": "Zeno Detection and Dwell Time",
   "zh": "Zeno检测与最小静默期",
   "level": "l3"
  },
  "CAP_513db971": {
   "en": "Distributed Policy Execution Pipeline",
   "zh": "分布式策略执行管线",
   "level": "l3"
  },
  "CAP_282567f1": {
   "en": "Formation Reward Design for MARL",
   "zh": "MARL编队奖励设计",
   "level": "l3"
  },
  "CAP_216770f0": {
   "en": "Decentralized Task Pool Decomposition",
   "zh": "分布式任务池分解",
   "level": "l3"
  },
  "CAP_585a3995": {
   "en": "Dec-POMDP Modeling Orchestrator",
   "zh": "Dec-POMDP 建模编排",
   "level": "l2"
  },
  "CAP_e84e8b06": {
   "en": "Dec-POMDP Task Allocation Modeling",
   "zh": "Dec-POMDP 任务分配建模",
   "level": "l3"
  },
  "CAP_0130fdb7": {
   "en": "Value Decomposition Network Setup",
   "zh": "值分解网络构建",
   "level": "l3"
  },
  "CAP_1f97dc6d": {
   "en": "Joint Task Policy Decomposition",
   "zh": "联合任务策略分解",
   "level": "l3"
  },
  "CAP_749f2995": {
   "en": "MARL Decentralized Swarm Navigation with CTDE",
   "zh": "CTDE 去中心化集群导航",
   "level": "l3"
  },
  "CAP_f5cbecba": {
   "en": "CTDE Value Decomposition Policy Training",
   "zh": "CTDE 值分解策略训练",
   "level": "l3"
  },
  "CAP_4a4737ee": {
   "en": "LLM Dialectic Shared Intention",
   "zh": "LLM 对话辩证共享意图",
   "level": "l2"
  },
  "CAP_a8461a80": {
   "en": "LLM Agent Role Instantiation",
   "zh": "LLM Agent 角色实例化",
   "level": "l3"
  },
  "CAP_eb4d77a6": {
   "en": "Peer-to-Peer Dialogue Coordination",
   "zh": "对等对话协调",
   "level": "l3"
  },
  "CAP_66df730a": {
   "en": "Sub-task Plan Validation & Feedback",
   "zh": "子任务计划验证与反馈",
   "level": "l3"
  },
  "CAP_fd84982c": {
   "en": "LLM Waypoint Path Proposal",
   "zh": "LLM 任务空间路径点提议",
   "level": "l3"
  },
  "CAP_714f1692": {
   "en": "LLM Spatial Reasoning",
   "zh": "LLM空间推理",
   "level": "l3"
  },
  "CAP_0369ce7d": {
   "en": "Multi-Arm Motion Planning with LLM Waypoints",
   "zh": "LLM 路径点引导的多臂运动规划",
   "level": "l3"
  },
  "CAP_db46b66a": {
   "en": "Skill-Centric Task Decomposition",
   "zh": "技能中心任务分解",
   "level": "l3"
  },
  "CAP_8a8e505f": {
   "en": "LLM Multi-Robot Collaboration Pipeline",
   "zh": "LLM 多机器人协作流水线",
   "level": "l3"
  },
  "CAP_73a262d2": {
   "en": "Construction Site Initialization",
   "zh": "施工现场初始化",
   "level": "l2"
  },
  "CAP_6b288d7d": {
   "en": "Motivation Threshold Division of Labor",
   "zh": "动机阈值涌现分工",
   "level": "l2"
  },
  "CAP_eca8a938": {
   "en": "Emergent Task Decomposition",
   "zh": "涌现任务分解",
   "level": "l3"
  },
  "CAP_4ab252d5": {
   "en": "Parallel Construction Simulation",
   "zh": "并行建造仿真验证",
   "level": "l3"
  },
  "CAP_d0e96e86": {
   "en": "Motivation Dynamics Emergent Task Decomposition",
   "zh": "动机动力学涌现任务分解",
   "level": "l3"
  },
  "CAP_7a9e80f4": {
   "en": "mTSP Scheduling and PDDL Durative Action Planning",
   "zh": "mTSP 调度与 PDDL 持续动作规划",
   "level": "l3"
  },
  "CAP_ce562fd6": {
   "en": "Auction Confirmation Reallocation Orchestrator",
   "zh": "拍卖确认重分配编排",
   "level": "l3"
  },
  "CAP_f81ae8f2": {
   "en": "RL Progress-Conditioned Coalition Policy",
   "zh": "RL 进度条件联盟策略",
   "level": "l3"
  },
  "CAP_a3c2a013": {
   "en": "Sequential Decentralized Coalition Inference",
   "zh": "序贯去中心化联盟推理",
   "level": "l3"
  },
  "CAP_96fb9620": {
   "en": "Dynamic Coalition Reformation",
   "zh": "动态联盟重组",
   "level": "l3"
  },
  "CAP_726d712f": {
   "en": "Factor Graph Task Allocation Modeling",
   "zh": "因子图任务分配建模",
   "level": "l3"
  },
  "CAP_8def49b4": {
   "en": "MaxSum Message Passing",
   "zh": "MaxSum 消息传递迭代",
   "level": "l3"
  },
  "CAP_6c248a66": {
   "en": "MaxSum Assignment Extraction",
   "zh": "MaxSum 分配方案提取",
   "level": "l3"
  },
  "CAP_6f460e63": {
   "en": "DCOP Schedule Dispatch",
   "zh": "DCOP 调度时序化与派发",
   "level": "l3"
  },
  "CAP_0a5dfc42": {
   "en": "DCOP Recomputation Trigger",
   "zh": "DCOP 约束违反重求解触发",
   "level": "l3"
  },
  "CAP_e4f961da": {
   "en": "Pedagogical Decision Tree Extraction",
   "zh": "教学式决策树提取",
   "level": "l2"
  },
  "CAP_437dda5d": {
   "en": "Black-box Oracle Loading",
   "zh": "黑盒策略 oracle 封装",
   "level": "l3"
  },
  "CAP_a8a7cd49": {
   "en": "DAgger Iterative State Sampling",
   "zh": "DAgger 迭代状态采样",
   "level": "l3"
  },
  "CAP_2c70f0a6": {
   "en": "Oracle Batch Query Annotation",
   "zh": "Oracle 批量查询标注",
   "level": "l3"
  },
  "CAP_2d4220bd": {
   "en": "Q-function Criticality Reweighting",
   "zh": "Q 函数关键性加权重采样",
   "level": "l3"
  },
  "CAP_9f17a584": {
   "en": "CART Hard Decision Tree Training",
   "zh": "CART 硬决策树训练",
   "level": "l3"
  },
  "CAP_45662a52": {
   "en": "Decision Tree Fidelity Verification",
   "zh": "决策树保真度验证",
   "level": "l3"
  },
  "CAP_ada84578": {
   "en": "Decision Tree Formal Safety Verification",
   "zh": "决策树形式化安全验证",
   "level": "l3"
  },
  "CAP_db087731": {
   "en": "Soft Decision Tree Distillation",
   "zh": "可微软决策树蒸馏",
   "level": "l2"
  },
  "CAP_d8a46906": {
   "en": "Teacher Network Loading and Soft Target Generation",
   "zh": "教师网络加载与软目标生成",
   "level": "l3"
  },
  "CAP_1dd27e09": {
   "en": "Soft Decision Tree Structure Initialization",
   "zh": "软决策树结构初始化",
   "level": "l3"
  },
  "CAP_3934a18b": {
   "en": "Distillation Data Sampling and Soft Label Query",
   "zh": "蒸馏数据采样与软标签查询",
   "level": "l3"
  },
  "CAP_7051aa6e": {
   "en": "Gradient Distillation Training",
   "zh": "梯度蒸馏训练",
   "level": "l3"
  },
  "CAP_8b55e3a2": {
   "en": "Soft Tree Hard Discretization",
   "zh": "软树硬离散化",
   "level": "l3"
  },
  "CAP_91f69b8d": {
   "en": "Distillation Fidelity and Stability Verification",
   "zh": "蒸馏保真度与稳定性验证",
   "level": "l3"
  },
  "CAP_5775abf1": {
   "en": "Formal Controller-to-Decision Tree Conversion",
   "zh": "形式化控制器决策树转换",
   "level": "l2"
  },
  "CAP_e35c6cdb": {
   "en": "Formal Controller Import and Parsing",
   "zh": "形式化控制器导入解析",
   "level": "l3"
  },
  "CAP_243aa987": {
   "en": "Controller Online Determinization",
   "zh": "控制器在线确定化",
   "level": "l3"
  },
  "CAP_f06ca5ff": {
   "en": "Predicate-driven Decision Tree Learning",
   "zh": "谓词驱动 DT 学习",
   "level": "l3"
  },
  "CAP_108dd299": {
   "en": "DT Correctness Preservation Verification",
   "zh": "DT 正确性保持验证",
   "level": "l3"
  },
  "CAP_94e0a1e4": {
   "en": "DT Readability Output and C Code Deployment",
   "zh": "DT 可读性输出与 C 代码部署",
   "level": "l3"
  },
  "CAP_286695d3": {
   "en": "View Switching via Tabs",
   "zh": "标签页视图切换",
   "level": "l3"
  },
  "CAP_ed596ce0": {
   "en": "Image Stream with Overlay Composition",
   "zh": "图像流叠加合成",
   "level": "l3"
  },
  "CAP_e05b18d9": {
   "en": "3D Graphic Predictive Rendering",
   "zh": "3D 图形预测渲染",
   "level": "l3"
  },
  "CAP_e5eec2eb": {
   "en": "Transparency Design",
   "zh": "透明度设计",
   "level": "l1"
  },
  "CAP_fd97858e": {
   "en": "SAT Layered Transparency Generation",
   "zh": "SAT 分层透明度生成",
   "level": "l2"
  },
  "CAP_57c12940": {
   "en": "SAT L1 State Content Extraction",
   "zh": "SAT L1 状态内容提取",
   "level": "l3"
  },
  "CAP_14633d84": {
   "en": "SAT L2 Reasoning Content Extraction",
   "zh": "SAT L2 推理内容提取",
   "level": "l3"
  },
  "CAP_f203086e": {
   "en": "SAT L3 Projection Content Extraction",
   "zh": "SAT L3 投影内容提取",
   "level": "l3"
  },
  "CAP_9e378e25": {
   "en": "SAT Layered Transparency Message Composition",
   "zh": "SAT 分层透明度消息合成与发布",
   "level": "l3"
  },
  "CAP_7f05d770": {
   "en": "Transparency Level Decision Pipeline",
   "zh": "透明度层级决策管线",
   "level": "l2"
  },
  "CAP_aa58745f": {
   "en": "L1 State and Purpose Disclosure",
   "zh": "L1 状态与目的披露生成",
   "level": "l3"
  },
  "CAP_91afc0ab": {
   "en": "L2 Process and Reasoning Disclosure",
   "zh": "L2 过程与推理披露生成",
   "level": "l3"
  },
  "CAP_db2a390e": {
   "en": "L3 Projection Performance Uncertainty Disclosure",
   "zh": "L3 投影性能不确定性披露生成",
   "level": "l3"
  },
  "CAP_ae87f37e": {
   "en": "Declarative Parameter Schema and Codegen",
   "zh": "声明式参数 Schema 与代码生成",
   "level": "l2"
  },
  "CAP_2615509c": {
   "en": "Declarative Launch Orchestration",
   "zh": "声明式启动图编排",
   "level": "l2"
  },
  "CAP_3c3816bf": {
   "en": "Declarative Robot Hardware Description",
   "zh": "声明式机器人硬件描述",
   "level": "l2"
  },
  "CAP_3f7881ad": {
   "en": "Generate Parameter Library Schema",
   "zh": "generate_parameter_library 参数 Schema",
   "level": "l3"
  },
  "CAP_af742f6e": {
   "en": "URDF Frame Declaration",
   "zh": "URDF 坐标系声明",
   "level": "l3"
  },
  "CAP_d3ff4420": {
   "en": "Robot Domain-Specific Schema",
   "zh": "机器人领域专用 Schema",
   "level": "l3"
  },
  "CAP_fddd60d0": {
   "en": "ROS2 Launch Substitution",
   "zh": "ROS2 Launch 声明式 Substitution 与延迟求值",
   "level": "l3"
  },
  "CAP_ae248090": {
   "en": "ROS2 Xacro Declarative XML Macro Config",
   "zh": "Xacro 声明式 XML 宏参数化配置",
   "level": "l3"
  },
  "CAP_f86396c7": {
   "en": "Kubernetes Robot Operator Declarative Fleet",
   "zh": "K8s 机器人 Operator 声明式舰队配置",
   "level": "l2"
  },
  "CAP_41823cff": {
   "en": "Controller Reconciliation",
   "zh": "控制器协调循环",
   "level": "l3"
  },
  "CAP_3b99040c": {
   "en": "K8s Robot Custom Resource",
   "zh": "K8s Robot Custom Resource 声明式定义",
   "level": "l3"
  },
  "CAP_913ee13a": {
   "en": "K8s Robot Fleet Custom Resource",
   "zh": "K8s Robot Fleet Custom Resource 声明式编排",
   "level": "l3"
  },
  "CAP_b447e863": {
   "en": "Kubernetes CRD Schema Definition",
   "zh": "Kubernetes CRD OpenAPI v3 Schema 声明式定义",
   "level": "l3"
  },
  "CAP_6c7121e4": {
   "en": "NixOS Reproducible Robot System",
   "zh": "NixOS 声明式可复现机器人系统配置",
   "level": "l2"
  },
  "CAP_06706637": {
   "en": "Nix ROS Overlay Workspace",
   "zh": "nix-ros-overlay 声明式 ROS 工作空间配置",
   "level": "l3"
  },
  "CAP_41a7b465": {
   "en": "Formal Decomposition Quality Validation",
   "zh": "形式化分解质量验证",
   "level": "l2"
  },
  "CAP_4489d244": {
   "en": "Decomposition Result Parsing",
   "zh": "分解结果解析",
   "level": "l3"
  },
  "CAP_8be3765e": {
   "en": "Decomposition to PDDL Formalization",
   "zh": "分解结果PDDL形式化",
   "level": "l3"
  },
  "CAP_938a8e33": {
   "en": "PDDL2.1 State Projection",
   "zh": "PDDL 2.1 状态投影",
   "level": "l3"
  },
  "CAP_9ca1e92a": {
   "en": "PDDL2.1 Condition Pointwise Check",
   "zh": "PDDL 2.1 :condition 逐点检查",
   "level": "l3"
  },
  "CAP_b7eeda43": {
   "en": "PDDL2.1 Duration Numeric Check",
   "zh": "PDDL 2.1 :duration-inequalities 与数值 fluent 检查",
   "level": "l3"
  },
  "CAP_042d06c2": {
   "en": "Validation to Quality Diagnosis",
   "zh": "验证结果到质量诊断解读",
   "level": "l3"
  },
  "CAP_5160098d": {
   "en": "Decomposition Quality Report",
   "zh": "分解质量报告生成",
   "level": "l3"
  },
  "CAP_6eb9df23": {
   "en": "Benchmark Driven Decomposition Evaluation",
   "zh": "基准驱动分解质量评测",
   "level": "l2"
  },
  "CAP_2a59310c": {
   "en": "Evaluation Progress Success Scoring",
   "zh": "评测进度与成功率计算",
   "level": "l3"
  },
  "CAP_fd1b6090": {
   "en": "Benchmark Instance Loading",
   "zh": "Benchmark 实例集加载",
   "level": "l3"
  },
  "CAP_6cb976b4": {
   "en": "LLM Output Parsing and Normalization",
   "zh": "LLM 输出解析与规范化",
   "level": "l3"
  },
  "CAP_f376f3cd": {
   "en": "Goal-Conditioned Evaluation Metric",
   "zh": "目标条件化评估指标",
   "level": "l3"
  },
  "CAP_e6ba4e98": {
   "en": "LLM Critique-Based Quality Refinement",
   "zh": "LLM 批判驱动的分解质量精炼",
   "level": "l2"
  },
  "CAP_edf88cb8": {
   "en": "Critique Feedback Construction",
   "zh": "批判反馈构造",
   "level": "l3"
  },
  "CAP_9722f905": {
   "en": "Iteration Termination Decision",
   "zh": "迭代终止判定",
   "level": "l3"
  },
  "CAP_f12324a6": {
   "en": "Quality Improvement Assessment",
   "zh": "质量改进评估",
   "level": "l3"
  },
  "CAP_52bd3f53": {
   "en": "PDDLParsingAndFormalization",
   "zh": "PDDL解析与形式化",
   "level": "l3"
  },
  "CAP_936976d2": {
   "en": "Deep Inverse Reinforcement Learning",
   "zh": "深度逆向强化学习",
   "level": "l2"
  },
  "CAP_29961f99": {
   "en": "Reward Function Parameterization",
   "zh": "奖励函数参数化",
   "level": "l3"
  },
  "CAP_073ed357": {
   "en": "AIRL Explicit Reward Recovery",
   "zh": "AIRL显式奖励恢复",
   "level": "l3"
  },
  "CAP_90d74c16": {
   "en": "Cross-Task Reward Transfer",
   "zh": "跨任务奖励迁移验证",
   "level": "l3"
  },
  "CAP_1bcbd1e3": {
   "en": "Preference-Driven Deep Reward Learning",
   "zh": "偏好驱动深度奖励学习",
   "level": "l3"
  },
  "CAP_70f939f7": {
   "en": "RAFT Iterative Flow Estimation",
   "zh": "RAFT 迭代光流估计",
   "level": "l2"
  },
  "CAP_4320655e": {
   "en": "All-Pairs Correlation Volume Construction",
   "zh": "全对相关性体构建",
   "level": "l3"
  },
  "CAP_24588015": {
   "en": "Multi-Scale Correlation Lookup",
   "zh": "多尺度相关性查找",
   "level": "l3"
  },
  "CAP_9690a7e3": {
   "en": "GRU-Based Iterative Flow Update",
   "zh": "GRU 迭代流场更新",
   "level": "l3"
  },
  "CAP_5dfe63ca": {
   "en": "Convex Upsampling",
   "zh": "凸上采样",
   "level": "l3"
  },
  "CAP_0e93702f": {
   "en": "Multi-Scale EPE Supervised Training (RAFT)",
   "zh": "多尺度端点误差监督训练 (RAFT)",
   "level": "l3"
  },
  "CAP_48a30f1e": {
   "en": "Bilinear Backward Warping",
   "zh": "双线性后向变形",
   "level": "l3"
  },
  "CAP_8b328dd0": {
   "en": "Flow Field Visualization",
   "zh": "光流场可视化",
   "level": "l3"
  },
  "CAP_eef2cade": {
   "en": "Pyramid CNN Optical Flow",
   "zh": "金字塔 CNN 光流估计",
   "level": "l2"
  },
  "CAP_0646aaeb": {
   "en": "CNN Feature Pyramid Extraction",
   "zh": "CNN 特征金字塔提取",
   "level": "l3"
  },
  "CAP_5cacb4f2": {
   "en": "Local Cost Volume Construction (Pyramid)",
   "zh": "金字塔局部代价体构建",
   "level": "l3"
  },
  "CAP_bca70a5f": {
   "en": "Pyramid Warping and Flow Regression",
   "zh": "金字塔变形与流场回归",
   "level": "l3"
  },
  "CAP_71d14327": {
   "en": "Multi-Scale EPE Supervised Training (Pyramid CNN)",
   "zh": "多尺度端点误差监督训练 (金字塔 CNN)",
   "level": "l3"
  },
  "CAP_f5d995ed": {
   "en": "Transformer Global Matching Optical Flow",
   "zh": "Transformer 全局匹配光流估计",
   "level": "l2"
  },
  "CAP_61ef5c7d": {
   "en": "Transformer Feature Enhancement (Optical Flow)",
   "zh": "Transformer 特征增强 (光流)",
   "level": "l3"
  },
  "CAP_1247394e": {
   "en": "Global Correlation Softmax Matching",
   "zh": "全局相关性 softmax 匹配",
   "level": "l3"
  },
  "CAP_201b07b8": {
   "en": "Self-Attention Flow Propagation",
   "zh": "自注意力光流传播",
   "level": "l3"
  },
  "CAP_5a3353df": {
   "en": "Multi-Resolution Flow Refinement",
   "zh": "多分辨率流场细化",
   "level": "l3"
  },
  "CAP_0c244c71": {
   "en": "Multi-Scale EPE Supervised Training (Transformer)",
   "zh": "多尺度端点误差监督训练 (Transformer)",
   "level": "l3"
  },
  "CAP_b30d68a8": {
   "en": "Unsupervised Optical Flow Learning",
   "zh": "无监督光流学习",
   "level": "l2"
  },
  "CAP_0de7d8b2": {
   "en": "Photometric Census Reconstruction Loss",
   "zh": "光度 census 重建损失",
   "level": "l3"
  },
  "CAP_0d0219c6": {
   "en": "Forward-Backward Consistency Regularization",
   "zh": "前向-后向一致性正则",
   "level": "l3"
  },
  "CAP_557b3ec1": {
   "en": "Occlusion-Aware Mask Estimation",
   "zh": "遮挡感知 mask 估计",
   "level": "l3"
  },
  "CAP_3afe8034": {
   "en": "Superpixel Self-Supervised Distillation",
   "zh": "超像素自监督蒸馏",
   "level": "l3"
  },
  "CAP_1c2adb1a": {
   "en": "DeepSORT Tracking Pipeline",
   "zh": "DeepSORT 跟踪流水线",
   "level": "l2"
  },
  "CAP_279fad73": {
   "en": "DeepSORT Realtime Tracking Pipeline",
   "zh": "DeepSORT 实时跟踪流水线",
   "level": "l2"
  },
  "CAP_d2a8ba61": {
   "en": "DeepSORT TensorRT Edge Deployment",
   "zh": "DeepSORT TensorRT 边缘部署流水线",
   "level": "l2"
  },
  "CAP_e4cdb82e": {
   "en": "Offline ReID Feature Generation",
   "zh": "离线 ReID 特征生成",
   "level": "l3"
  },
  "CAP_8fdfa947": {
   "en": "Constant Velocity Kalman Prediction",
   "zh": "常速卡尔曼状态预测",
   "level": "l3"
  },
  "CAP_d96b605f": {
   "en": "Hierarchical Matching Cascade",
   "zh": "分层级联匹配",
   "level": "l3"
  },
  "CAP_279a6cbf": {
   "en": "IoU Secondary Association",
   "zh": "IoU 二阶段关联",
   "level": "l3"
  },
  "CAP_8d551630": {
   "en": "Track Lifecycle State Machine",
   "zh": "轨迹生命周期状态机",
   "level": "l3"
  },
  "CAP_65650a50": {
   "en": "YOLO Online Object Detection",
   "zh": "YOLO 在线目标检测",
   "level": "l3"
  },
  "CAP_8d8cca6e": {
   "en": "Online ReID Feature Embedding Extraction",
   "zh": "在线重识别特征嵌入提取",
   "level": "l3"
  },
  "CAP_318cc5ba": {
   "en": "YOLO TensorRT Engine Export",
   "zh": "YOLO TensorRT 引擎导出",
   "level": "l3"
  },
  "CAP_6d58b426": {
   "en": "ReID TensorRT Engine Export",
   "zh": "ReID TensorRT 引擎导出",
   "level": "l3"
  },
  "CAP_085ffcd9": {
   "en": "C++ TensorRT Inference and Tracking",
   "zh": "C++ TensorRT 推理与跟踪",
   "level": "l3"
  },
  "CAP_53ebfcea": {
   "en": "End-to-End Imitation Visual Servoing",
   "zh": "端到端模仿学习视觉伺服",
   "level": "l2"
  },
  "CAP_1396d4f5": {
   "en": "Action Chunk Construction",
   "zh": "动作块构建",
   "level": "l3"
  },
  "CAP_5928c654": {
   "en": "Action Chunking with CVAE",
   "zh": "CVAE 动作块回归",
   "level": "l3"
  },
  "CAP_4094819b": {
   "en": "Multi-View Observation Fusion",
   "zh": "多视角观测融合",
   "level": "l3"
  },
  "CAP_b1e88083": {
   "en": "End-to-End VS Closed-Loop Execution",
   "zh": "端到端视觉伺服闭环执行",
   "level": "l3"
  },
  "CAP_7fd8eff4": {
   "en": "Visual Reinforcement Learning Servoing",
   "zh": "视觉强化学习伺服",
   "level": "l3"
  },
  "CAP_4381cc2e": {
   "en": "Visual Goal Image Specification",
   "zh": "视觉目标图像规范",
   "level": "l3"
  },
  "CAP_6db73f10": {
   "en": "Unsupervised Visual Goal Representation Learning",
   "zh": "无监督视觉目标表征学习",
   "level": "l3"
  },
  "CAP_d42c08e9": {
   "en": "Imagined Goal Sampling",
   "zh": "想象目标采样",
   "level": "l3"
  },
  "CAP_b4dedd61": {
   "en": "Goal-Conditioned Off-Policy RL Training (SAC)",
   "zh": "目标条件离线策略强化学习训练（SAC）",
   "level": "l3"
  },
  "CAP_f2b5a611": {
   "en": "Latent Goal Achievement Verification",
   "zh": "潜在目标达成验证",
   "level": "l3"
  },
  "CAP_d7561311": {
   "en": "Visual Predictive Servoing",
   "zh": "视觉预测伺服",
   "level": "l2"
  },
  "CAP_07b53efa": {
   "en": "Video Prediction Forward Model",
   "zh": "视频预测前向模型",
   "level": "l3"
  },
  "CAP_0e45f319": {
   "en": "Visual MPC Action Optimization",
   "zh": "视觉MPC动作优化",
   "level": "l3"
  },
  "CAP_99a436f8": {
   "en": "Autonomous Data Collection",
   "zh": "自主数据采集",
   "level": "l3"
  },
  "CAP_e1a1acbf": {
   "en": "Foundation Model Backed Visual Servoing",
   "zh": "基础模型支撑的视觉伺服",
   "level": "l2"
  },
  "CAP_8716bb84": {
   "en": "R3M Frozen Backbone Feature Extraction",
   "zh": "R3M冻结骨干特征提取",
   "level": "l3"
  },
  "CAP_347f3a62": {
   "en": "VC-1 Backbone and CortexBench Evaluation",
   "zh": "VC-1骨干与CortexBench评测",
   "level": "l3"
  },
  "CAP_f01c212e": {
   "en": "MVP Masked Pretraining Backbone",
   "zh": "MVP掩码预训练骨干",
   "level": "l3"
  },
  "CAP_08f0850f": {
   "en": "CortexBench Evaluation",
   "zh": "CortexBench评测",
   "level": "l3"
  },
  "CAP_036975cb": {
   "en": "Frozen Backbone Downstream Evaluation",
   "zh": "冻结骨干下游评测",
   "level": "l3"
  },
  "CAP_8c4cabd3": {
   "en": "SCM Terrain Scene Modeling",
   "zh": "SCM 地形场景建模",
   "level": "l2"
  },
  "CAP_c53730eb": {
   "en": "SCM Contact Solving and Deformation",
   "zh": "SCM 接触求解与变形累积",
   "level": "l2"
  },
  "CAP_231fcf56": {
   "en": "SCM Interaction Effect Observation",
   "zh": "SCM 交互效果观测与导出",
   "level": "l2"
  },
  "CAP_dcc47b58": {
   "en": "Chrono System Initialization",
   "zh": "Chrono 物理系统初始化",
   "level": "l3"
  },
  "CAP_46d1051c": {
   "en": "Vehicle Model Configuration",
   "zh": "车辆模型配置",
   "level": "l3"
  },
  "CAP_1dead694": {
   "en": "SCM Deformable Terrain Construction",
   "zh": "SCM 可变形地形构造",
   "level": "l3"
  },
  "CAP_f95548d5": {
   "en": "Bekker Soil Parameterization",
   "zh": "Bekker 土壤参数配置",
   "level": "l3"
  },
  "CAP_d31d783f": {
   "en": "Multi-Body State Synchronization",
   "zh": "多体状态同步",
   "level": "l3"
  },
  "CAP_9e5cc11d": {
   "en": "SCM Contact Force Computation",
   "zh": "SCM 接触力计算",
   "level": "l3"
  },
  "CAP_6f1ba75c": {
   "en": "Plastic Deformation Accumulation",
   "zh": "塑性变形累积",
   "level": "l3"
  },
  "CAP_f655bcb1": {
   "en": "Sinkage and Drawbar Pull Query",
   "zh": "沉陷与挂钩牵引查询",
   "level": "l3"
  },
  "CAP_5e24b389": {
   "en": "Deformed Terrain Mesh Export",
   "zh": "变形地形网格导出",
   "level": "l3"
  },
  "CAP_9bc489eb": {
   "en": "Rut Geometry and Trajectory Logging",
   "zh": "车辙几何与轨迹记录",
   "level": "l3"
  },
  "CAP_02613bd0": {
   "en": "Granular Terrain and Vehicle Setup",
   "zh": "颗粒地形与车辆建模",
   "level": "l2"
  },
  "CAP_8d802f72": {
   "en": "DEM Contact Solving and Particle Dynamics",
   "zh": "DEM 接触求解与颗粒动力学",
   "level": "l2"
  },
  "CAP_579e5ae6": {
   "en": "Granular Interaction Effect Observation",
   "zh": "颗粒交互效果观测",
   "level": "l2"
  },
  "CAP_47a63fe8": {
   "en": "Physics System Init for DEM",
   "zh": "DEM 物理系统初始化",
   "level": "l3"
  },
  "CAP_81941891": {
   "en": "Particle Bed Generation",
   "zh": "颗粒床生成",
   "level": "l3"
  },
  "CAP_3df3b336": {
   "en": "Wheel Foot Boundary Mesh Loading",
   "zh": "轮足边界 mesh 加载",
   "level": "l3"
  },
  "CAP_b686b4d2": {
   "en": "DEM Contact Model Configuration",
   "zh": "DEM 接触模型配置",
   "level": "l3"
  },
  "CAP_158bbb4f": {
   "en": "Time Integration and Collision Detection",
   "zh": "时间积分与碰撞检测",
   "level": "l3"
  },
  "CAP_ba423b38": {
   "en": "DEM Contact Force Computation",
   "zh": "DEM 接触力计算",
   "level": "l3"
  },
  "CAP_32648e4a": {
   "en": "Moving Patch Domain Update",
   "zh": "移动补丁域更新",
   "level": "l3"
  },
  "CAP_f2132253": {
   "en": "Force Chain and Stress Field Query",
   "zh": "力链与应力场查询",
   "level": "l3"
  },
  "CAP_709f40c9": {
   "en": "Rut and Sinkage Geometry Export",
   "zh": "车辙与沉陷几何导出",
   "level": "l3"
  },
  "CAP_48c834e2": {
   "en": "Drawbar Pull and Slip Measurement",
   "zh": "挂钩牵引与滑移测量",
   "level": "l3"
  },
  "CAP_99e005e0": {
   "en": "PBD Soft Surface Scene Construction",
   "zh": "PBD 软表面场景构建",
   "level": "l2"
  },
  "CAP_65dd354d": {
   "en": "Deformation Observation and Export",
   "zh": "变形观测与导出",
   "level": "l2"
  },
  "CAP_5bda7ea4": {
   "en": "Soft Surface Particle Grid Generation",
   "zh": "软表面粒子网格生成",
   "level": "l3"
  },
  "CAP_5e970a26": {
   "en": "Rigid Body Shape Matching Loading",
   "zh": "刚体 Shape Matching 加载",
   "level": "l3"
  },
  "CAP_18f6cf88": {
   "en": "PBD Position Prediction",
   "zh": "PBD 位置预测",
   "level": "l3"
  },
  "CAP_7779397c": {
   "en": "Collision Constraint Generation",
   "zh": "碰撞约束生成",
   "level": "l3"
  },
  "CAP_146f3d16": {
   "en": "Position Velocity Update",
   "zh": "位置速度更新",
   "level": "l3"
  },
  "CAP_06fc8875": {
   "en": "Particle Displacement Field Query",
   "zh": "粒子位移场查询",
   "level": "l3"
  },
  "CAP_a98cb33e": {
   "en": "Contact Force and Metric Export",
   "zh": "接触力与度量导出",
   "level": "l3"
  },
  "CAP_5d1c81d8": {
   "en": "FEM Mesh and Material Configuration",
   "zh": "FEM 网格与材料配置",
   "level": "l2"
  },
  "CAP_92e4d657": {
   "en": "Tetrahedral Mesh Generation for Grasp Evaluation",
   "zh": "四面体网格生成",
   "level": "l3"
  },
  "CAP_2af9b27e": {
   "en": "Isaac Gym FEM Elastic Material Setup",
   "zh": "Isaac Gym FEM 弹性材料参数配置",
   "level": "l3"
  },
  "CAP_c941082f": {
   "en": "Isaac Gym FEM Grasp Forward Simulation",
   "zh": "Isaac Gym FEM 抓取正向仿真",
   "level": "l2"
  },
  "CAP_ef375c66": {
   "en": "Parallel Jaw Grasp Force-Controlled Closure",
   "zh": "平行爪抓取力控闭合",
   "level": "l3"
  },
  "CAP_30d20e46": {
   "en": "Multi-Mode Grasp Test Execution",
   "zh": "多模式抓取测试执行",
   "level": "l3"
  },
  "CAP_7b32a0b6": {
   "en": "Grasp Quality Metric Evaluation Pipeline",
   "zh": "抓取质量指标评估管线",
   "level": "l2"
  },
  "CAP_5945d008": {
   "en": "Deformable Grasp Force Sim Evaluation",
   "zh": "变形物体抓取力仿真评估",
   "level": "l3"
  },
  "CAP_f4ac9f3b": {
   "en": "Batch Evaluation and Domain Randomization",
   "zh": "批量评估与域随机化",
   "level": "l3"
  },
  "CAP_c50ec302": {
   "en": "PBD Particle Deformable Grasp Simulation Setup",
   "zh": "PBD 粒子可变形抓取仿真环境搭建",
   "level": "l2"
  },
  "CAP_00591a39": {
   "en": "Deformable Object Particle Modeling and Scene Config",
   "zh": "可变形物体粒子化建模与场景配置",
   "level": "l3"
  },
  "CAP_55d0c4f4": {
   "en": "Picker Grasp-Transport Simulation",
   "zh": "Picker 抓取-搬运操作仿真执行",
   "level": "l2"
  },
  "CAP_e968cc4e": {
   "en": "Picker Dual-Finger Grasp Tool Instantiation",
   "zh": "Picker 双指抓取工具实例化",
   "level": "l3"
  },
  "CAP_242770aa": {
   "en": "Grasp-Transport Trajectory Execution and Particle Contact Sim",
   "zh": "抓取-搬运轨迹执行与粒子接触仿真",
   "level": "l3"
  },
  "CAP_3d2411ba": {
   "en": "RL Data Generation and Benchmark Evaluation",
   "zh": "RL 数据生成与基准评测",
   "level": "l2"
  },
  "CAP_a454588c": {
   "en": "SoftGym RL Policy Training and Benchmark",
   "zh": "SoftGym RL 策略训练与基准评测",
   "level": "l3"
  },
  "CAP_55058cae": {
   "en": "Differentiable FEM Sensor and Multi-Material Object Modeling",
   "zh": "可微 FEM 传感器与多材质物体建模",
   "level": "l2"
  },
  "CAP_d474169c": {
   "en": "Multi-Material Object MLS-MPM Differentiable Modeling",
   "zh": "多材质物体 MLS-MPM 可微建模",
   "level": "l3"
  },
  "CAP_28349244": {
   "en": "Differentiable Contact Simulation and Gradient Grasp Optimization",
   "zh": "可微接触仿真与梯度抓取优化",
   "level": "l2"
  },
  "CAP_f1c5cf1b": {
   "en": "Differentiable Penalty Contact Model and SDF Collision Detection",
   "zh": "可微罚函数接触模型与 SDF 碰撞检测",
   "level": "l3"
  },
  "CAP_e743fb13": {
   "en": "Gradient Backpropagation Grasp Trajectory Optimization",
   "zh": "梯度回传抓取轨迹优化",
   "level": "l3"
  },
  "CAP_dc2e0a39": {
   "en": "Differentiable Grasp Optimization and Skill Learning",
   "zh": "可微抓取优化与技能学习",
   "level": "l2"
  },
  "CAP_93529c18": {
   "en": "Differentiable Physics System Identification",
   "zh": "可微物理系统辨识",
   "level": "l3"
  },
  "CAP_2d63c5a8": {
   "en": "Gradient-Guided Grasp Skill Learning",
   "zh": "梯度引导抓取技能学习",
   "level": "l3"
  },
  "CAP_9594a7bd": {
   "en": "Distributed Impedance Cooperative Transport of Deformable Payload",
   "zh": "分布式阻抗柔顺载荷协同搬运",
   "level": "l2"
  },
  "CAP_d3e5a0a6": {
   "en": "Deformable Payload Shape Reconstruction",
   "zh": "柔顺载荷形状重建",
   "level": "l3"
  },
  "CAP_2f7e13d4": {
   "en": "Cosserat Rod Payload Parameter Fitting",
   "zh": "Cosserat 杆载荷参数拟合",
   "level": "l3"
  },
  "CAP_56a1cc08": {
   "en": "Support Point Internal Force Computation",
   "zh": "支撑点内力计算",
   "level": "l3"
  },
  "CAP_a9459856": {
   "en": "Grasp Point Planning for Cooperative Transport",
   "zh": "协同搬运抓取点规划",
   "level": "l3"
  },
  "CAP_f556d31a": {
   "en": "Synchronized Cooperative Approach and Grasp",
   "zh": "同步协同接近与抓取",
   "level": "l3"
  },
  "CAP_acc705d4": {
   "en": "Deformable Dynamics Feedforward Compensation",
   "zh": "变形载荷动力学前馈补偿",
   "level": "l3"
  },
  "CAP_a34e3525": {
   "en": "Deformation Monitoring",
   "zh": "载荷形变监测",
   "level": "l3"
  },
  "CAP_cca2750e": {
   "en": "Deformation-Aware Adaptive Impedance Scheduling",
   "zh": "变形感知自适应阻抗调度",
   "level": "l3"
  },
  "CAP_41ee9675": {
   "en": "Aerial Whole-body Kinodynamic Cable-Suspended Cooperative Transport",
   "zh": "空中 whole-body kinodynamic 缆绳悬挂协同搬运",
   "level": "l2"
  },
  "CAP_d45aa3ad": {
   "en": "Quadrotor State Estimation",
   "zh": "四旋翼状态估计",
   "level": "l3"
  },
  "CAP_b0703a2f": {
   "en": "Predicted Trajectory Resampling for OCP Initialization",
   "zh": "预测轨迹重采样作 OCP 初始状态",
   "level": "l3"
  },
  "CAP_9d9af9c6": {
   "en": "Centralized Trajectory Dispatch",
   "zh": "中心化轨迹下发",
   "level": "l3"
  },
  "CAP_35fce00e": {
   "en": "Reference Point Sampling",
   "zh": "参考点采样",
   "level": "l3"
  },
  "CAP_188889db": {
   "en": "Cable Tension Allocation and Control",
   "zh": "缆绳张力分配与控制",
   "level": "l3"
  },
  "CAP_f48ac0bb": {
   "en": "MARL Deformable Object Cooperative Transport",
   "zh": "多智能体强化学习柔顺物体协同搬运",
   "level": "l2"
  },
  "CAP_8552eb4f": {
   "en": "Deformable Payload State Representation for MARL",
   "zh": "柔体载荷 MARL 状态表示",
   "level": "l3"
  },
  "CAP_b0777010": {
   "en": "MPE Deformable Cooperative Transport Environment",
   "zh": "MPE 柔体协同搬运环境",
   "level": "l3"
  },
  "CAP_7400c9ec": {
   "en": "Multi-Agent Observation and Action Space Design",
   "zh": "多机观测空间与动作空间设计",
   "level": "l3"
  },
  "CAP_e0223e74": {
   "en": "Deformation-Penalized Cooperative Reward Shaping",
   "zh": "含形变惩罚的协同奖励塑形",
   "level": "l3"
  },
  "CAP_6b04e2be": {
   "en": "Independent Velocity Force Execution",
   "zh": "各机独立执行速度/力指令",
   "level": "l3"
  },
  "CAP_5d44a359": {
   "en": "Deformation Threshold Trigger",
   "zh": "形变越阈触发",
   "level": "l3"
  },
  "CAP_b6d521d2": {
   "en": "MADDPG Cooperative Transport Policy",
   "zh": "MADDPG协同搬运策略",
   "level": "l3"
  },
  "CAP_0b8aacd9": {
   "en": "Grasp-Time Vision-Based Deformable Shape Tracking Pipeline",
   "zh": "抓取时视觉可变形形状追踪管线",
   "level": "l2"
  },
  "CAP_33e08254": {
   "en": "Template-Mesh Non-Rigid Registration Pipeline",
   "zh": "模板网格非刚性配准管线",
   "level": "l2"
  },
  "CAP_d0ddda82": {
   "en": "Template Mesh & Deformation Graph Initialization",
   "zh": "模板网格与变形图初始化",
   "level": "l3"
  },
  "CAP_992cd349": {
   "en": "Embedded Deformation Optimization",
   "zh": "嵌入变形优化",
   "level": "l3"
  },
  "CAP_6e9387fe": {
   "en": "Per-vertex 3D Trajectory Output",
   "zh": "逐顶点三维轨迹输出",
   "level": "l3"
  },
  "CAP_a93c901d": {
   "en": "Gripper Occlusion Mask Generation",
   "zh": "夹爪遮挡掩码生成",
   "level": "l3"
  },
  "CAP_04319629": {
   "en": "Temporal Continuity Shape Completion",
   "zh": "时序连续性形状补全",
   "level": "l3"
  },
  "CAP_c04e0f17": {
   "en": "Shape-Driven Grasp Feedback",
   "zh": "形状驱动抓取反馈",
   "level": "l3"
  },
  "CAP_098eb09d": {
   "en": "Tactile-Based Deformable Contact Shape Reconstruction Pipeline",
   "zh": "触觉可变形接触形状重建管线",
   "level": "l2"
  },
  "CAP_6dafaed4": {
   "en": "Geometric Tactile Shape Matching",
   "zh": "几何触觉形状匹配",
   "level": "l2"
  },
  "CAP_5d3f5700": {
   "en": "Tactile Point Cloud Accumulation",
   "zh": "触觉点云累积",
   "level": "l3"
  },
  "CAP_6672067e": {
   "en": "Multi-Contact Shape Stitching",
   "zh": "多接触点形状拼接",
   "level": "l3"
  },
  "CAP_0de95fd0": {
   "en": "Contact-Driven Deformation Inference",
   "zh": "接触驱动变形推断",
   "level": "l3"
  },
  "CAP_23db8ceb": {
   "en": "Visuo-Tactile Fusion Deformable Shape Estimation Pipeline",
   "zh": "视触融合可变形形状估计管线",
   "level": "l2"
  },
  "CAP_36bd9203": {
   "en": "Tactile Constraint Injection into Non-Rigid Registration",
   "zh": "触觉约束注入非刚性配准",
   "level": "l3"
  },
  "CAP_68d589f0": {
   "en": "Cross-Modal Confidence Fusion",
   "zh": "跨模态置信度融合",
   "level": "l3"
  },
  "CAP_dd1b31f0": {
   "en": "Elastoplastic Material Model",
   "zh": "弹塑性材料模型",
   "level": "l3"
  },
  "CAP_163b6aed": {
   "en": "Softened Contact Solver",
   "zh": "软化接触求解器",
   "level": "l3"
  },
  "CAP_9b609664": {
   "en": "Softened IoU Shape Loss",
   "zh": "软化交并比形状损失",
   "level": "l3"
  },
  "CAP_79dcb892": {
   "en": "Action Sequence Optimizer",
   "zh": "动作序列优化器",
   "level": "l3"
  },
  "CAP_c1643e92": {
   "en": "Real-Time PBD/XPBD Deformable Simulation",
   "zh": "实时 PBD/XPBD 可变形体仿真",
   "level": "l2"
  },
  "CAP_e04285ef": {
   "en": "Cloth/Rope Constraint Model",
   "zh": "布料/绳索约束模型",
   "level": "l3"
  },
  "CAP_94cd3c36": {
   "en": "GarmentLab Environment and Benchmark",
   "zh": "GarmentLab 环境与基准",
   "level": "l3"
  },
  "CAP_69d6c581": {
   "en": "Unified Simulation Engine",
   "zh": "统一仿真引擎（Isaac Sim/PhysX5）",
   "level": "l3"
  },
  "CAP_af9bdc84": {
   "en": "GPU-Native Unified Multi-Solver Physics Engine",
   "zh": "GPU 原生统一物理引擎大规模并行软体-刚体耦合仿真",
   "level": "l2"
  },
  "CAP_855b2f80": {
   "en": "Differentiable MPM Tool Solver",
   "zh": "可微 MPM / 工具求解器",
   "level": "l3"
  },
  "CAP_fac8599b": {
   "en": "GPU Parallel Rendering & Heterogeneous Environments",
   "zh": "GPU 并行渲染与异构环境",
   "level": "l3"
  },
  "CAP_e62313e0": {
   "en": "Warp-Native Differentiable Backend",
   "zh": "Warp 原生可微后端（Newton/MuJoCo-Warp）",
   "level": "l3"
  },
  "CAP_db76e5c4": {
   "en": "LiDAR Point Cloud Deskewing",
   "zh": "LiDAR点云去畸变",
   "level": "l3"
  },
  "CAP_97a7ab89": {
   "en": "Three-Level Localizability Classification",
   "zh": "三级可定位性分类",
   "level": "l3"
  },
  "CAP_6eb4b26f": {
   "en": "Localizability-Aware Registration Pipeline",
   "zh": "可定位性感知配准流水线",
   "level": "l3"
  },
  "CAP_71b1d3af": {
   "en": "Scan-to-Map Point-Plane Correspondence Search",
   "zh": "扫描到地图点面对应搜索",
   "level": "l3"
  },
  "CAP_4e825bb3": {
   "en": "Hessian Localizability Eigenspace Analysis",
   "zh": "基于Hessian的可定位性特征空间分析",
   "level": "l3"
  },
  "CAP_bbf915ad": {
   "en": "Non-Degenerate Pose Covariance Estimation",
   "zh": "非退化位姿协方差估计",
   "level": "l3"
  },
  "CAP_609503a5": {
   "en": "Iterated EKF Direct LIO Pipeline",
   "zh": "迭代 EKF 直接式 LIO 流水线",
   "level": "l3"
  },
  "CAP_aa17a7fd": {
   "en": "Point Cloud Deskew via IMU Preintegration",
   "zh": "IMU预积分点云去畸变",
   "level": "l3"
  },
  "CAP_e4efad12": {
   "en": "ikd-Tree Incremental Map Management",
   "zh": "ikd-Tree增量地图管理",
   "level": "l3"
  },
  "CAP_db673ee5": {
   "en": "ikd-Tree kNN Query",
   "zh": "ikd-Tree k 近邻查询",
   "level": "l3"
  },
  "CAP_60c54b04": {
   "en": "ikd-Tree Incremental Insertion",
   "zh": "ikd-Tree 增量插入",
   "level": "l3"
  },
  "CAP_b7abb952": {
   "en": "ikd-Tree Box Pruning",
   "zh": "ikd-Tree 盒修剪",
   "level": "l3"
  },
  "CAP_beac516c": {
   "en": "Point-to-Plane Residual Computation",
   "zh": "点-平面残差计算",
   "level": "l3"
  },
  "CAP_df22f3c9": {
   "en": "Map Point Insertion and Culling",
   "zh": "地图点插入与裁剪",
   "level": "l3"
  },
  "CAP_e6c3bf6d": {
   "en": "IESKF Iterative Update",
   "zh": "IESKF迭代状态更新",
   "level": "l3"
  },
  "CAP_ab096c88": {
   "en": "INS Error State Feedback Correction",
   "zh": "INS 误差状态反馈修正",
   "level": "l3"
  },
  "CAP_9d8a67cb": {
   "en": "INS Error State EKF Propagation",
   "zh": "INS 误差状态 EKF 预测",
   "level": "l3"
  },
  "CAP_39cb5411": {
   "en": "IMU High Rate State Propagation",
   "zh": "IMU高频状态传播",
   "level": "l3"
  },
  "CAP_05cf898d": {
   "en": "Innovation Gating Adaptive Robust Filtering",
   "zh": "新息门控自适应鲁棒滤波",
   "level": "l3"
  },
  "CAP_d1bc77b7": {
   "en": "Degeneracy Threshold Decision and Factor Output",
   "zh": "退化阈值判定与退化因子输出",
   "level": "l3"
  },
  "CAP_004362ed": {
   "en": "Degeneracy-Aware IESKF Gain Projection",
   "zh": "退化感知IESKF增益投影",
   "level": "l3"
  },
  "CAP_d0e06a28": {
   "en": "IMU-Synchronized High-Rate Odometry Publishing",
   "zh": "IMU同步高频里程计发布",
   "level": "l3"
  },
  "CAP_38408978": {
   "en": "Future Observability Prediction for LiDAR Scanning",
   "zh": "LiDAR扫描未来可观测性预测",
   "level": "l3"
  },
  "CAP_d32340f0": {
   "en": "Hybrid MPC-RL LiDAR Scanning Control",
   "zh": "MPC-RL混合LiDAR扫描控制",
   "level": "l3"
  },
  "CAP_7146a8b0": {
   "en": "Asymmetric LiDAR Target Shape Optimization",
   "zh": "非对称LiDAR靶标形状优化",
   "level": "l3"
  },
  "CAP_128af5fe": {
   "en": "Panoramic Depth Encoding for Scanning Cost Map",
   "zh": "面向扫描代价图的全景深度编码",
   "level": "l3"
  },
  "CAP_4c3c0b16": {
   "en": "LiDAR Hessian Geometric Degeneracy Detection",
   "zh": "LiDAR Hessian 几何退化检测",
   "level": "l2"
  },
  "CAP_1880fea3": {
   "en": "Point-to-Line/Plane Residual Jacobian Construction",
   "zh": "点-线/点-面残差雅可比构造",
   "level": "l3"
  },
  "CAP_6aa2ecf6": {
   "en": "Hessian Eigenvalue Decomposition and Degeneracy Direction Extraction",
   "zh": "Hessian 特征值分解与退化方向提取",
   "level": "l3"
  },
  "CAP_9f3a5c47": {
   "en": "Visual Quality Flag Aggregation and Multi-Signal Fusion",
   "zh": "视觉质量标志聚合与多信号融合",
   "level": "l3"
  },
  "CAP_1c89257c": {
   "en": "Filter Posterior Covariance Evolution Degeneracy Detection",
   "zh": "滤波后验协方差演化退化检测",
   "level": "l2"
  },
  "CAP_480594c3": {
   "en": "Posterior Covariance Extraction and Pose Block Slicing",
   "zh": "后验协方差提取与位姿块切片",
   "level": "l3"
  },
  "CAP_23f20acb": {
   "en": "Posterior Covariance Eigenvalue Decomposition and Degeneracy Direction Extraction",
   "zh": "后验协方差特征值分解与退化方向提取",
   "level": "l3"
  },
  "CAP_4833c01f": {
   "en": "LOAM Edge-Planar Feature Extraction",
   "zh": "LOAM边缘平面特征提取",
   "level": "l3"
  },
  "CAP_90166262": {
   "en": "Tracking Inlier Count Monitoring",
   "zh": "跟踪内点数监控",
   "level": "l3"
  },
  "CAP_23baf04d": {
   "en": "Chi-Square Outlier Rejection (VIO)",
   "zh": "VIO卡方离群测量拒绝",
   "level": "l3"
  },
  "CAP_2df995a0": {
   "en": "Lost State Detection (ORB-SLAM3)",
   "zh": "ORB-SLAM3丢失状态检测",
   "level": "l3"
  },
  "CAP_c4797181": {
   "en": "Pose Convergence Assessment via Covariance",
   "zh": "基于协方差的位姿收敛判定",
   "level": "l3"
  },
  "CAP_5fe57319": {
   "en": "Covariance-Threshold Trigger",
   "zh": "协方差阈值触发",
   "level": "l3"
  },
  "CAP_f4ae9b58": {
   "en": "Factor Graph LIO Pipeline",
   "zh": "因子图平滑式 LIO 流水线",
   "level": "l3"
  },
  "CAP_0ac69a50": {
   "en": "Eigenvalue Degeneracy Detection and Subspace Projection Pipeline",
   "zh": "特征值退化检测与子空间投影流水线",
   "level": "l2"
  },
  "CAP_83b0f5a3": {
   "en": "Degeneracy Factor Threshold Judgment",
   "zh": "退化因子阈值判定",
   "level": "l3"
  },
  "CAP_5242f667": {
   "en": "Degeneracy-Masked LM Optimization",
   "zh": "退化掩码 LM 优化",
   "level": "l3"
  },
  "CAP_c7efb27a": {
   "en": "Per-Sensor Residual Reliability Weighting",
   "zh": "逐传感器残差可靠性加权",
   "level": "l3"
  },
  "CAP_9d956612": {
   "en": "VIO IMU Preintegration (Forster Manifold Form)",
   "zh": "VIO IMU 预积分（Forster 流形形式）",
   "level": "l3"
  },
  "CAP_acff7b51": {
   "en": "IMU Preintegration Factor Construction",
   "zh": "IMU预积分因子构造",
   "level": "l3"
  },
  "CAP_687798c2": {
   "en": "VIO IMU Preintegration (GTSAM ImuFactor Form)",
   "zh": "VIO IMU 预积分（GTSAM ImuFactor 形式）",
   "level": "l3"
  },
  "CAP_93b67d95": {
   "en": "Factor Graph iSAM2 Optimization",
   "zh": "因子图 iSAM2 优化",
   "level": "l3"
  },
  "CAP_0f9ea63a": {
   "en": "GPS Position Factor",
   "zh": "GPS 位置因子",
   "level": "l3"
  },
  "CAP_f804d7d9": {
   "en": "Intensity-Augmented Degeneracy Tolerant LIO Pipeline",
   "zh": "强度增补退化容错 LIO 流水线",
   "level": "l2"
  },
  "CAP_65a3a48a": {
   "en": "LiDAR Intensity Image Projection",
   "zh": "LiDAR 强度图投影",
   "level": "l3"
  },
  "CAP_ff321297": {
   "en": "Intensity Image FIR Filtering and Normalization",
   "zh": "强度图 FIR 滤波与归一化",
   "level": "l3"
  },
  "CAP_0bab8210": {
   "en": "Complementary Feature Selection",
   "zh": "互补特征选择",
   "level": "l3"
  },
  "CAP_5384e5aa": {
   "en": "Photometric Error Minimization",
   "zh": "光度误差最小化",
   "level": "l3"
  },
  "CAP_dbfa4c5c": {
   "en": "Geometric-Photometric Joint IESKF Measurement Update",
   "zh": "几何-光度联合 IESKF 量测更新",
   "level": "l3"
  },
  "CAP_eba9998e": {
   "en": "Iterated EKF Convergence",
   "zh": "迭代 EKF 收敛",
   "level": "l3"
  },
  "CAP_03574f5d": {
   "en": "Sensor-Triggered Collaborative Mode Switching",
   "zh": "传感器触发协作模式切换",
   "level": "l2"
  },
  "CAP_21848d51": {
   "en": "SSM Workspace Zone Monitoring",
   "zh": "SSM 工作空间区域监控",
   "level": "l3"
  },
  "CAP_599ba57a": {
   "en": "Three-State Mode Auto Decision",
   "zh": "三态模式自动决策",
   "level": "l3"
  },
  "CAP_f278803a": {
   "en": "Application-Level Semantic Load Throttling",
   "zh": "应用层语义负载降级",
   "level": "l3"
  },
  "CAP_8835a86e": {
   "en": "Real-Time Performance Monitoring and Degradation",
   "zh": "实时性能监控与降级",
   "level": "l3"
  },
  "CAP_888ab3b7": {
   "en": "Jetson Vendor Power Mode Throttling",
   "zh": "Jetson 厂商功耗模式降档",
   "level": "l2"
  },
  "CAP_f3e03b42": {
   "en": "Jetson Clocks Frequency Locking",
   "zh": "jetson_clocks 频率锁定",
   "level": "l3"
  },
  "CAP_ddc78987": {
   "en": "TensorRT Inference Precision Switching",
   "zh": "TensorRT 推理精度切换",
   "level": "l3"
  },
  "CAP_41108bea": {
   "en": "Scenario Switch and Behavior Restriction",
   "zh": "场景切换与行为空间收缩",
   "level": "l3"
  },
  "CAP_f3cf54b6": {
   "en": "MediaPipe Static Gesture Input",
   "zh": "MediaPipe 静态手势输入",
   "level": "l2"
  },
  "CAP_5656e810": {
   "en": "Pointing Gesture Trigger Detection",
   "zh": "指向手势触发检测",
   "level": "l3"
  },
  "CAP_f3730206": {
   "en": "Rule-based Gesture Classification",
   "zh": "基于几何规则的手势分类",
   "level": "l3"
  },
  "CAP_34499109": {
   "en": "Gesture Rule Table Lookup",
   "zh": "手势规则表查表",
   "level": "l3"
  },
  "CAP_8fbb7493": {
   "en": "Gesture Embedder Inference",
   "zh": "手势嵌入推理",
   "level": "l3"
  },
  "CAP_1d87f6eb": {
   "en": "Predefined Gesture Classifier",
   "zh": "预置手势分类器",
   "level": "l3"
  },
  "CAP_ee74b748": {
   "en": "Gesture Temporal Confirmation",
   "zh": "手势时序确认",
   "level": "l3"
  },
  "CAP_7ecf6b2f": {
   "en": "Visual Scene Feature Encoding",
   "zh": "视觉场景特征编码",
   "level": "l3"
  },
  "CAP_9a1a912e": {
   "en": "Cross-Modal Gesture Grounding",
   "zh": "学习型跨模态手势接地",
   "level": "l3"
  },
  "CAP_f800be45": {
   "en": "Hand Motion Trajectory Intent Classification",
   "zh": "手部运动轨迹意图分类",
   "level": "l3"
  },
  "CAP_864dd17f": {
   "en": "Context-Aware Gesture Intent Inference Pipeline",
   "zh": "语境感知手势意图推理管线",
   "level": "l2"
  },
  "CAP_b229ffcc": {
   "en": "Video Canonical-Frame Temporal Optimization",
   "zh": "视频关键帧时序优化",
   "level": "l3"
  },
  "CAP_e0c003a5": {
   "en": "Embodied Multi-Modal 3D Perception",
   "zh": "具身多模态 3D 感知",
   "level": "l3"
  },
  "CAP_a03b5d62": {
   "en": "Ray-Scene Intersection",
   "zh": "射线-场景相交",
   "level": "l3"
  },
  "CAP_3504f2ff": {
   "en": "Direct Spatial Reasoning via VLM",
   "zh": "基于 VLM 的直接空间推理",
   "level": "l3"
  },
  "CAP_46d60b05": {
   "en": "3D Visual Grounding Pipeline",
   "zh": "3D 视觉接地管线",
   "level": "l3"
  },
  "CAP_edd45bf6": {
   "en": "Situated 3D Scene QA",
   "zh": "情境化 3D 场景问答",
   "level": "l3"
  },
  "CAP_2c16f8e3": {
   "en": "Delay-Budget Auction Allocation Coordination",
   "zh": "延迟预算拍卖分配协调",
   "level": "l2"
  },
  "CAP_bf4e2634": {
   "en": "Delay Budget Discretization",
   "zh": "延迟预算离散化",
   "level": "l3"
  },
  "CAP_9368c0d3": {
   "en": "Delay-Precision Degradation Aware Protocol Selection",
   "zh": "延迟精度退化感知协议选择",
   "level": "l3"
  },
  "CAP_ad2c46b7": {
   "en": "Async Delay-Tolerant Consensus Allocation",
   "zh": "异步延迟容忍共识分配",
   "level": "l2"
  },
  "CAP_c418fa80": {
   "en": "Async Event-Driven Message Processing",
   "zh": "异步事件驱动消息处理",
   "level": "l3"
  },
  "CAP_bf43dcdd": {
   "en": "Message Flooding Suppression",
   "zh": "消息泛洪抑制",
   "level": "l3"
  },
  "CAP_e29e267d": {
   "en": "Communication-Delay-Aware Tier Assignment",
   "zh": "通信延迟感知层级分配",
   "level": "l3"
  },
  "CAP_38a81c81": {
   "en": "BPv7 Protocol Stack Deployment",
   "zh": "BPv7协议栈部署",
   "level": "l1"
  },
  "CAP_25a09b37": {
   "en": "BPv7 Addressing",
   "zh": "BPv7寻址",
   "level": "l3"
  },
  "CAP_df88c236": {
   "en": "Convergence Layer Deployment",
   "zh": "汇聚层部署",
   "level": "l3"
  },
  "CAP_a21ff087": {
   "en": "Routing Configuration",
   "zh": "路由配置",
   "level": "l3"
  },
  "CAP_a06b3c9b": {
   "en": "Endpoint Service",
   "zh": "端点服务",
   "level": "l3"
  },
  "CAP_58caa41f": {
   "en": "Bundle Status Reporting",
   "zh": "Bundle状态报告",
   "level": "l3"
  },
  "CAP_faed1b09": {
   "en": "Node Initialization",
   "zh": "节点初始化",
   "level": "l3"
  },
  "CAP_274fceaf": {
   "en": "EID Configuration",
   "zh": "EID配置",
   "level": "l3"
  },
  "CAP_e03ce2e5": {
   "en": "CLA Selection",
   "zh": "汇聚层适配器选择",
   "level": "l3"
  },
  "CAP_b424ceda": {
   "en": "Link Establishment",
   "zh": "链路建立",
   "level": "l3"
  },
  "CAP_0f2befc8": {
   "en": "Route Configuration",
   "zh": "路由配置",
   "level": "l3"
  },
  "CAP_dd57ee96": {
   "en": "Route Loading",
   "zh": "路由加载",
   "level": "l3"
  },
  "CAP_e27ec14c": {
   "en": "Bundle Lifecycle Management",
   "zh": "Bundle生命周期管理",
   "level": "l3"
  },
  "CAP_b0675b5c": {
   "en": "Bundle Reception",
   "zh": "Bundle接收",
   "level": "l3"
  },
  "CAP_318772b9": {
   "en": "Retention Constraint Enforcement",
   "zh": "保留约束执行",
   "level": "l3"
  },
  "CAP_8ced8ad6": {
   "en": "Bundle Forwarding",
   "zh": "Bundle转发",
   "level": "l3"
  },
  "CAP_5de499b0": {
   "en": "Bundle Delivery",
   "zh": "Bundle交付",
   "level": "l3"
  },
  "CAP_b5da9a77": {
   "en": "Operations Monitoring",
   "zh": "运维监控",
   "level": "l2"
  },
  "CAP_ebce01c5": {
   "en": "Status Query",
   "zh": "状态查询",
   "level": "l3"
  },
  "CAP_62e7883c": {
   "en": "Diagnostics",
   "zh": "诊断",
   "level": "l3"
  },
  "CAP_85929f56": {
   "en": "Data Mule and Ferry Scheduling",
   "zh": "数据骡子与摆渡调度",
   "level": "l2"
  },
  "CAP_47a7ef1d": {
   "en": "Ferry Capacity Modeling",
   "zh": "源-汇拓扑与容量建模",
   "level": "l3"
  },
  "CAP_31506260": {
   "en": "CBMF Epoch Backpressure Matching",
   "zh": "CBMF epoch反压匹配调度",
   "level": "l3"
  },
  "CAP_acbb33bd": {
   "en": "Ferry Movement and Data Collection",
   "zh": "骡子运动与数据收集",
   "level": "l3"
  },
  "CAP_ad53c8e5": {
   "en": "Ferry Queue Management",
   "zh": "骡子队列管理",
   "level": "l3"
  },
  "CAP_0e57257c": {
   "en": "Intermittent Reliable Delivery",
   "zh": "间歇连通可靠交付",
   "level": "l3"
  },
  "CAP_abab0a7a": {
   "en": "Delivery Guarantee Analysis and Evaluation",
   "zh": "投递保证分析评估",
   "level": "l3"
  },
  "CAP_057d23c5": {
   "en": "Network Model Definition",
   "zh": "网络模型定义",
   "level": "l3"
  },
  "CAP_6f5fe6f7": {
   "en": "Ideal Capacity Derivation",
   "zh": "理想容量推导",
   "level": "l3"
  },
  "CAP_d2696193": {
   "en": "Queue State Collection",
   "zh": "队列状态收集",
   "level": "l3"
  },
  "CAP_93aa8551": {
   "en": "Backpressure Matching Algorithm",
   "zh": "背压匹配算法",
   "level": "l3"
  },
  "CAP_680b8920": {
   "en": "Ferry Motion Control",
   "zh": "骡子运动控制",
   "level": "l2"
  },
  "CAP_227faff8": {
   "en": "Ferry Trajectory Execution",
   "zh": "骡子轨迹执行",
   "level": "l3"
  },
  "CAP_82efa080": {
   "en": "Data Transfer and Queue Update",
   "zh": "数据传输与队列更新",
   "level": "l2"
  },
  "CAP_98f41358": {
   "en": "Data Transfer Execution",
   "zh": "数据传输执行",
   "level": "l3"
  },
  "CAP_8e126890": {
   "en": "Multi-hop and Underwater Extension",
   "zh": "多跳与水下扩展",
   "level": "l2"
  },
  "CAP_6f70e50d": {
   "en": "Multi-hop Relay Configuration",
   "zh": "多跳接力配置",
   "level": "l3"
  },
  "CAP_22adec2a": {
   "en": "Underwater Adaptation",
   "zh": "水下适配",
   "level": "l3"
  },
  "CAP_8812008e": {
   "en": "Batch Simulation Execution",
   "zh": "批量仿真执行",
   "level": "l3"
  },
  "CAP_c3aff2bb": {
   "en": "Throughput-Capacity Gap Analysis",
   "zh": "吞吐-容量差距分析",
   "level": "l3"
  },
  "CAP_749552cc": {
   "en": "Delay Boundedness Verification",
   "zh": "延迟有界性验证",
   "level": "l3"
  },
  "CAP_8ac239f5": {
   "en": "Opportunistic Replication Routing",
   "zh": "机会接触复制路由",
   "level": "l2"
  },
  "CAP_3f9497e5": {
   "en": "Replication Strategy Selection",
   "zh": "复制路由策略选择",
   "level": "l3"
  },
  "CAP_93e289b9": {
   "en": "Replication Forwarding in Contact Window",
   "zh": "接触窗口内复制转发",
   "level": "l3"
  },
  "CAP_fc48540d": {
   "en": "Delivery Predictability Update",
   "zh": "投递可预测性更新",
   "level": "l3"
  },
  "CAP_e65dc426": {
   "en": "Replica Count Control (Spray-and-Wait)",
   "zh": "副本数控制（Spray-and-Wait）",
   "level": "l3"
  },
  "CAP_3b897d05": {
   "en": "Buffer Management",
   "zh": "缓存管理",
   "level": "l3"
  },
  "CAP_7a8692c0": {
   "en": "Delivery ACK and Replica Cleanup",
   "zh": "投递确认与副本清理",
   "level": "l3"
  },
  "CAP_5651c881": {
   "en": "Forwarding Strategy",
   "zh": "转发策略",
   "level": "l3"
  },
  "CAP_de61540e": {
   "en": "Contact Graph Routing (CGR)",
   "zh": "接触图路由",
   "level": "l2"
  },
  "CAP_6601fffb": {
   "en": "Contact Plan Parsing and Validation",
   "zh": "接触计划解析与校验",
   "level": "l3"
  },
  "CAP_957f4434": {
   "en": "Contact Graph Building and Maintenance",
   "zh": "接触图构建与维护",
   "level": "l3"
  },
  "CAP_c21ffaa9": {
   "en": "Dynamic Route Computation (CGR)",
   "zh": "动态路由计算",
   "level": "l3"
  },
  "CAP_0ebe2440": {
   "en": "Single-copy Forwarding (CGR)",
   "zh": "单副本转发执行",
   "level": "l3"
  },
  "CAP_f6e466fe": {
   "en": "Capacity Reservation and Residual Tracking",
   "zh": "容量预约与残量跟踪",
   "level": "l3"
  },
  "CAP_2eb8cd91": {
   "en": "Exception Handling and Fallback (CGR)",
   "zh": "异常处理与回退",
   "level": "l3"
  },
  "CAP_3d753f25": {
   "en": "CGR Simulation and Evaluation",
   "zh": "CGR 仿真与评估",
   "level": "l3"
  },
  "CAP_3c75be6e": {
   "en": "CGR Route Computation Initialization",
   "zh": "CGR路由计算初始化",
   "level": "l3"
  },
  "CAP_685a85d4": {
   "en": "CGR Contact Review and Path Filtering",
   "zh": "CGR接触审查与路径筛选",
   "level": "l3"
  },
  "CAP_564b42ce": {
   "en": "CGR Forwarding Decision and Capacity Reservation",
   "zh": "CGR转发决策与容量预约",
   "level": "l3"
  },
  "CAP_761b5e2c": {
   "en": "Fleet Robot State Aggregation",
   "zh": "舰队机器人状态聚合",
   "level": "l3"
  },
  "CAP_f97bdcf6": {
   "en": "Neighbor Consensus Message Exchange",
   "zh": "邻居共识消息交换",
   "level": "l3"
  },
  "CAP_c7119572": {
   "en": "Task DAG Dependency State Encoding",
   "zh": "任务 DAG 依赖状态编码",
   "level": "l3"
  },
  "CAP_6656afa7": {
   "en": "Offloading Multi-Objective Reward Shaping",
   "zh": "卸载多目标奖励塑形",
   "level": "l3"
  },
  "CAP_2367478b": {
   "en": "File-level Binary Diff Delta Update",
   "zh": "文件级二进制差分增量更新",
   "level": "l2"
  },
  "CAP_26ab4d71": {
   "en": "Binary Diff Computation",
   "zh": "二进制差分补丁生成",
   "level": "l3"
  },
  "CAP_6465954c": {
   "en": "Signature-based Delta Computation",
   "zh": "基于签名的差分计算（rdiff/librsync）",
   "level": "l3"
  },
  "CAP_5c7d9f12": {
   "en": "Framework-Integrated Delta Handler",
   "zh": "框架集成差分处理器",
   "level": "l3"
  },
  "CAP_06a64e93": {
   "en": "Binary Patch Application",
   "zh": "二进制补丁应用重建",
   "level": "l3"
  },
  "CAP_a183de16": {
   "en": "MCU In-place Patch Application",
   "zh": "MCU原地补丁应用（1KB RAM）",
   "level": "l3"
  },
  "CAP_38700203": {
   "en": "Patch Hash Verification",
   "zh": "补丁重建哈希校验",
   "level": "l3"
  },
  "CAP_f5c5662d": {
   "en": "Block-level Delta Update Orchestration",
   "zh": "块级差分增量更新编排",
   "level": "l2"
  },
  "CAP_a33ca79d": {
   "en": "Block Transfer List Generation",
   "zh": "块操作传输列表生成",
   "level": "l3"
  },
  "CAP_a781f495": {
   "en": "Imgdiff Compressed Chunk Patching",
   "zh": "压缩段Imgdiff分块差分",
   "level": "l3"
  },
  "CAP_2dc8419e": {
   "en": "Block Operation Execution",
   "zh": "块设备操作指令执行",
   "level": "l3"
  },
  "CAP_202bd673": {
   "en": "Block Stash Management",
   "zh": "块Stash暂存管理",
   "level": "l3"
  },
  "CAP_2f3cf6c0": {
   "en": "Content-Addressed Object-level Delta Update",
   "zh": "内容寻址对象级差分增量更新",
   "level": "l2"
  },
  "CAP_633db1af": {
   "en": "Content-Addressed Object Commit",
   "zh": "内容寻址对象提交",
   "level": "l3"
  },
  "CAP_7d720403": {
   "en": "Static Delta Compilation",
   "zh": "OSTree静态差分预编译",
   "level": "l3"
  },
  "CAP_5d22660c": {
   "en": "Delta Bytecode Execution",
   "zh": "Delta字节码执行与对象重建",
   "level": "l3"
  },
  "CAP_81bddfbd": {
   "en": "Task Family Sampling",
   "zh": "任务族采样",
   "level": "l3"
  },
  "CAP_4f6432cf": {
   "en": "Demo Pair Meta-Learning Training",
   "zh": "演示对元学习训练",
   "level": "l3"
  },
  "CAP_0b288593": {
   "en": "Latent Plan Extraction from Play Video",
   "zh": "玩耍视频隐计划提取",
   "level": "l2"
  },
  "CAP_c5b6a307": {
   "en": "MimicPlay Latent Plan Extraction",
   "zh": "MimicPlay隐计划提取",
   "level": "l3"
  },
  "CAP_39308484": {
   "en": "Dual View 3D Hand Trajectory Reconstruction",
   "zh": "双目3D人手轨迹重建",
   "level": "l3"
  },
  "CAP_509241e2": {
   "en": "Video Prompting Goal Image Sequence",
   "zh": "视频提示目标图像序列",
   "level": "l3"
  },
  "CAP_13ed3523": {
   "en": "LIBERO Simulation Evaluation",
   "zh": "LIBERO仿真评测",
   "level": "l3"
  },
  "CAP_3ad0c825": {
   "en": "LIBERO BDDL Goal Condition Verification",
   "zh": "LIBERO BDDL目标条件验证",
   "level": "l3"
  },
  "CAP_7a3c1d2e": {
   "en": "Play Data Ingestion for Latent Plans",
   "zh": "玩耍数据摄入与预处理",
   "level": "l3"
  },
  "CAP_e5fedce8": {
   "en": "Plan-Guided Low-Level Controller Training",
   "zh": "计划引导低层控制器训练",
   "level": "l3"
  },
  "CAP_3d9a797f": {
   "en": "VPT Inverse Dynamics Labeling",
   "zh": "VPT逆动力学伪标签提取",
   "level": "l2"
  },
  "CAP_463a9509": {
   "en": "Minecraft Contractor Data Recording",
   "zh": "Minecraft Contractor数据录制",
   "level": "l3"
  },
  "CAP_dd352aab": {
   "en": "VPT IDM Training",
   "zh": "VPT逆动力学模型训练",
   "level": "l3"
  },
  "CAP_70ad4306": {
   "en": "VPT Pseudo-label Generation",
   "zh": "VPT伪标签生成",
   "level": "l3"
  },
  "CAP_f4b7db13": {
   "en": "Semi-supervised Video BC Pretraining",
   "zh": "半监督视频BC预训练",
   "level": "l3"
  },
  "CAP_c5a3fb85": {
   "en": "VPT Task Fine-tune",
   "zh": "VPT任务特化微调",
   "level": "l3"
  },
  "CAP_f18e8a31": {
   "en": "VPT RL Fine-tune",
   "zh": "VPT强化学习微调",
   "level": "l3"
  },
  "CAP_9b3746dd": {
   "en": "Cross-Embodiment Video Action Prior Extraction",
   "zh": "跨本体视频动作先验提取",
   "level": "l2"
  },
  "CAP_5ec64715": {
   "en": "EpicKitchens Internet Video Harvesting",
   "zh": "EpicKitchens互联网视频采集",
   "level": "l3"
  },
  "CAP_b319dbb3": {
   "en": "3D Hand Pose Extraction",
   "zh": "3D手部姿态提取",
   "level": "l3"
  },
  "CAP_5d298155": {
   "en": "Gravity Aligned Wrist Trajectory Extraction",
   "zh": "重力对齐腕部轨迹提取",
   "level": "l3"
  },
  "CAP_774de2c1": {
   "en": "VideoDex Cross-Embodiment Retargeting",
   "zh": "VideoDex跨本体重定向",
   "level": "l3"
  },
  "CAP_c9a07de3": {
   "en": "NDP Physical Prior Trajectory Generation",
   "zh": "NDP物理先验轨迹生成",
   "level": "l3"
  },
  "CAP_e8939480": {
   "en": "Imitation Policy Training Pipeline",
   "zh": "模仿策略训练管线",
   "level": "l2"
  },
  "CAP_45d0aacc": {
   "en": "Isomorphic Bimanual Leader-Follower Joint Correspondence",
   "zh": "同构双臂 leader-follower 关节对应",
   "level": "l3"
  },
  "CAP_22bccb83": {
   "en": "Leader-Follower Bimanual Hardware Assembly",
   "zh": "Leader-Follower 双臂硬件装配",
   "level": "l3"
  },
  "CAP_6e088efe": {
   "en": "Joint Space Calibration and Zero Alignment",
   "zh": "关节空间标定与零位校准",
   "level": "l3"
  },
  "CAP_094ced5b": {
   "en": "Leader Arm Backdrive Teleoperation",
   "zh": "Leader 臂 Backdrive 遥操作",
   "level": "l3"
  },
  "CAP_0997434e": {
   "en": "Synchronized Observation Action Capture",
   "zh": "观测动作同步采集",
   "level": "l3"
  },
  "CAP_1f41a918": {
   "en": "Success Rate Statistics and Generalization Evaluation",
   "zh": "成功率统计与泛化评估",
   "level": "l3"
  },
  "CAP_8a3f1d47": {
   "en": "Handheld In-The-Wild SLAM Collection",
   "zh": "手持野外 SLAM 采集",
   "level": "l2"
  },
  "CAP_a5c61855": {
   "en": "Diffusion Policy Training and Deployment",
   "zh": "Diffusion Policy 训练与部署管线",
   "level": "l2"
  },
  "CAP_5e2c9b84": {
   "en": "Handheld Gripper Hardware Assembly",
   "zh": "手持夹持器硬件组装",
   "level": "l3"
  },
  "CAP_b6f9d758": {
   "en": "UMI SLAM Tracking Calibration",
   "zh": "UMI SLAM 跟踪标定与鱼眼畸变建模",
   "level": "l3"
  },
  "CAP_cb4393f2": {
   "en": "UMI SLAM Pose Recovery",
   "zh": "UMI SLAM 位姿恢复",
   "level": "l3"
  },
  "CAP_6fabe667": {
   "en": "Diffusion Policy Training for Handheld Data",
   "zh": "手持数据 Diffusion Policy 训练",
   "level": "l3"
  },
  "CAP_040ca01d": {
   "en": "Cross-Robot Platform Deployment",
   "zh": "跨机器人平台部署",
   "level": "l3"
  },
  "CAP_7af11a98": {
   "en": "Humanoid Retargeting Demonstration Pipeline",
   "zh": "人形重定向示范遥操作管线",
   "level": "l2"
  },
  "CAP_8208a7a6": {
   "en": "Humanoid Imitation Learning Pipeline",
   "zh": "人形模仿学习管线",
   "level": "l2"
  },
  "CAP_fea71b20": {
   "en": "Humanoid Hardware Integration",
   "zh": "人形机器人硬件集成",
   "level": "l3"
  },
  "CAP_5cf44d37": {
   "en": "Whole-Body Human Motion Retargeting",
   "zh": "全身人体运动重定向",
   "level": "l3"
  },
  "CAP_fb4529f7": {
   "en": "RL Low-Level Tracking Policy",
   "zh": "RL 低层跟踪策略",
   "level": "l3"
  },
  "CAP_ef281b64": {
   "en": "Shadowing Whole-Body Data Capture",
   "zh": "shadowing 全身数据采集",
   "level": "l3"
  },
  "CAP_069cc153": {
   "en": "Humanoid Skill Imitation Learning Training",
   "zh": "人形技能模仿学习训练",
   "level": "l3"
  },
  "CAP_797b4ebb": {
   "en": "Humanoid Autonomous Skill Execution",
   "zh": "人形自主技能执行与评估",
   "level": "l3"
  },
  "CAP_6bce3f93": {
   "en": "Surgical dVRK Demonstration Pipeline",
   "zh": "手术 dVRK 示范遥操作管线",
   "level": "l2"
  },
  "CAP_1279638e": {
   "en": "Surgical Skill Learning Pipeline",
   "zh": "手术技能学习管线",
   "level": "l2"
  },
  "CAP_6da250b4": {
   "en": "Teleoperated Master-Side Tremor Filtering",
   "zh": "遥操作主端震颤滤波",
   "level": "l3"
  },
  "CAP_9b316281": {
   "en": "dVRK Hardware and Firmware Deployment",
   "zh": "dVRK 硬件与固件部署",
   "level": "l3"
  },
  "CAP_32c86654": {
   "en": "MTM PSM Calibration and RCM Modeling",
   "zh": "MTM/PSM 标定与 RCM 约束建模",
   "level": "l3"
  },
  "CAP_4e8f90a1": {
   "en": "Motion Scaling for Surgical Teleoperation",
   "zh": "手术遥操作运动比例缩放",
   "level": "l3"
  },
  "CAP_2c6d7e8f": {
   "en": "Master-Side Tremor Adaptive Filtering",
   "zh": "主端震颤自适应滤波",
   "level": "l3"
  },
  "CAP_4b8c9d0e": {
   "en": "Surgical Kinematic Acquisition",
   "zh": "手术运动学数据采集",
   "level": "l3"
  },
  "CAP_2f5a6b7c": {
   "en": "Surgical Gesture Segmentation",
   "zh": "手术手势分割",
   "level": "l3"
  },
  "CAP_6c45937e": {
   "en": "Surgical Skill LfD Training",
   "zh": "手术技能 LfD 训练",
   "level": "l3"
  },
  "CAP_0ebe7f11": {
   "en": "Autonomous Suturing Deployment",
   "zh": "自主缝合部署与评估",
   "level": "l3"
  },
  "CAP_6c096375": {
   "en": "ORCA Simulator Initialization",
   "zh": "ORCA 仿真器初始化",
   "level": "l3"
  },
  "CAP_9375a72b": {
   "en": "ORCA Simulator And Scene Setup",
   "zh": "ORCA仿真器与场景初始化",
   "level": "l3"
  },
  "CAP_30890013": {
   "en": "ORCA LP Velocity Solver",
   "zh": "ORCA 速度障碍 LP 求解",
   "level": "l3"
  },
  "CAP_8e3485dd": {
   "en": "Learning-Based Decentralized Swarm Collision Avoidance",
   "zh": "学习型分布式群体避障",
   "level": "l2"
  },
  "CAP_0b6a74bc": {
   "en": "Crowd Simulation Environment Setup",
   "zh": "人群仿真环境配置",
   "level": "l3"
  },
  "CAP_32b0caf2": {
   "en": "Observation Action Encoding for DRL Avoidance",
   "zh": "DRL避障观测动作编码",
   "level": "l3"
  },
  "CAP_7e78cefd": {
   "en": "Crowd-Robot Interaction Attention Model",
   "zh": "人群-机器人交互注意力模型",
   "level": "l3"
  },
  "CAP_a1012c09": {
   "en": "DRL Action Execution",
   "zh": "DRL动作执行",
   "level": "l3"
  },
  "CAP_8dd4eafd": {
   "en": "DRL Avoidance Reward Design",
   "zh": "DRL避障奖励设计",
   "level": "l3"
  },
  "CAP_e5018f25": {
   "en": "IL RL Social Navigation Training",
   "zh": "模仿+强化学习社交导航训练",
   "level": "l3"
  },
  "CAP_f226ec4f": {
   "en": "MPE Multi-Agent Observation Construction",
   "zh": "MPE 多智能体观测构建",
   "level": "l3"
  },
  "CAP_67a34af2": {
   "en": "CTDE Cooperative Navigation on Simple Spread",
   "zh": "simple_spread 协同导航 CTDE 训练",
   "level": "l3"
  },
  "CAP_b8ef3f1c": {
   "en": "Variational Dense Optical Flow",
   "zh": "变分稠密光流",
   "level": "l2"
  },
  "CAP_0b57c394": {
   "en": "Backward Flow Warping",
   "zh": "后向流场 warping",
   "level": "l3"
  },
  "CAP_f683bee1": {
   "en": "Coarse-to-Fine Warping Flow Refinement",
   "zh": "粗到细 warping 光流细化",
   "level": "l3"
  },
  "CAP_f6a5035a": {
   "en": "Polynomial Expansion Dense Optical Flow",
   "zh": "多项式展开稠密光流",
   "level": "l2"
  },
  "CAP_f0524bf8": {
   "en": "Polynomial Expansion Signal Modeling",
   "zh": "多项式展开信号建模",
   "level": "l3"
  },
  "CAP_20232de2": {
   "en": "Analytic Displacement Estimation",
   "zh": "解析位移估计",
   "level": "l3"
  },
  "CAP_05982fff": {
   "en": "Local Patch Flow Smoothing",
   "zh": "局部块流场平滑",
   "level": "l3"
  },
  "CAP_598f9cbc": {
   "en": "Dense Inverse Search Optical Flow",
   "zh": "稠密逆向搜索光流",
   "level": "l2"
  },
  "CAP_84fd4c36": {
   "en": "Dense Inverse Search Patch Correspondence",
   "zh": "稠密逆向搜索块对应",
   "level": "l3"
  },
  "CAP_227d6c80": {
   "en": "Structure Tensor Precomputation",
   "zh": "结构张量预计算",
   "level": "l3"
  },
  "CAP_3a8d366f": {
   "en": "Sparse-to-Dense Flow Densification",
   "zh": "稀疏到稠密流场致密化",
   "level": "l3"
  },
  "CAP_54e434f5": {
   "en": "Variational Flow Refinement",
   "zh": "变分流场细化",
   "level": "l3"
  },
  "CAP_861f4928": {
   "en": "Tactile-Reactive MPC Force Control",
   "zh": "触觉反应式 MPC 力控",
   "level": "l2"
  },
  "CAP_9573c084": {
   "en": "Visual Tactile Diffusion Assembly",
   "zh": "视触觉扩散装配流水线",
   "level": "l2"
  },
  "CAP_4e511967": {
   "en": "SSL Tactile Representation Pretraining",
   "zh": "自监督触觉表征预训练",
   "level": "l2"
  },
  "CAP_98f9fa9d": {
   "en": "Variable-Rate MoT Tactile-Reactive Inference",
   "zh": "变频率 MoT 触觉反应式推理",
   "level": "l2"
  },
  "CAP_e25361c7": {
   "en": "Differentiable MPC QP Layer",
   "zh": "可微 MPC QP 层",
   "level": "l3"
  },
  "CAP_a196c1ce": {
   "en": "ResNet Tactile Control Embedding",
   "zh": "ResNet 触觉控制嵌入",
   "level": "l3"
  },
  "CAP_4e0542df": {
   "en": "Dual Arm Automated Tactile Data Collection",
   "zh": "双臂自动触觉数据采集",
   "level": "l3"
  },
  "CAP_76a1be63": {
   "en": "TactAR Tactile Teleoperation",
   "zh": "TactAR触觉反馈遥操采集",
   "level": "l3"
  },
  "CAP_cbfd9e53": {
   "en": "Slow Fast Visual Tactile Reactive Policy",
   "zh": "快慢视触觉反应式策略",
   "level": "l3"
  },
  "CAP_e0b06b7b": {
   "en": "3D Visuo-Tactile Point Cloud Fusion",
   "zh": "3D 视触觉点云融合",
   "level": "l3"
  },
  "CAP_7c41a05a": {
   "en": "Multi Resolution Heterogeneous Tactile Fusion",
   "zh": "多分辨率异构触觉融合",
   "level": "l3"
  },
  "CAP_3014596f": {
   "en": "Generalist Foundation Tactile Policy",
   "zh": "通用基础触觉策略",
   "level": "l3"
  },
  "CAP_82740bcf": {
   "en": "Tactile Image Tokenization",
   "zh": "触觉图像分词",
   "level": "l3"
  },
  "CAP_243e22ca": {
   "en": "Tactile SSL Objective Training",
   "zh": "触觉自监督目标训练",
   "level": "l3"
  },
  "CAP_bcf07cb1": {
   "en": "Spatio-Temporal Tactile VQ-VAE Encoding",
   "zh": "时空触觉 VQ-VAE 编码",
   "level": "l3"
  },
  "CAP_a5e84c4a": {
   "en": "Motor Primitive Tactile Dataset Collection Recipe",
   "zh": "Motor Primitive 触觉数据集采集 Recipe",
   "level": "l3"
  },
  "CAP_132bbf20": {
   "en": "Tactile VLA Layer Inference",
   "zh": "触觉VLA层推理",
   "level": "l3"
  },
  "CAP_492fcb7c": {
   "en": "Play Data SSL Tactile Dexterity",
   "zh": "游戏数据 SSL 触觉灵巧",
   "level": "l3"
  },
  "CAP_1bf4c55c": {
   "en": "Scale-Aware Crowd Counting",
   "zh": "尺度感知计数",
   "level": "l2"
  },
  "CAP_3a76848e": {
   "en": "Multi-Column Density Feature Extraction",
   "zh": "多列密度特征提取",
   "level": "l3"
  },
  "CAP_720eac94": {
   "en": "Crowd Image Load and Preprocessing",
   "zh": "人群图像载入与预处理",
   "level": "l3"
  },
  "CAP_50bf99a1": {
   "en": "Point Proposal Network",
   "zh": "点提议生成网络",
   "level": "l3"
  },
  "CAP_34c5ea72": {
   "en": "Sinkhorn Optimal Transport Counting Loss",
   "zh": "Sinkhorn 最优传输计数损失",
   "level": "l3"
  },
  "CAP_4d1ce7aa": {
   "en": "Point-Supervised Image Preprocessing",
   "zh": "点监督图像预处理",
   "level": "l3"
  },
  "CAP_7b4254ad": {
   "en": "Crowd Counting Backbone Feature Extraction",
   "zh": "人群计数骨干特征提取",
   "level": "l3"
  },
  "CAP_ba84e150": {
   "en": "Point-Supervised Counting Evaluation",
   "zh": "点监督计数评估",
   "level": "l3"
  },
  "CAP_e3b7ab8d": {
   "en": "Transformer Global Context Crowd Counting",
   "zh": "Transformer 全局上下文计数",
   "level": "l2"
  },
  "CAP_a7b1f6c9": {
   "en": "Vision Transformer Crowd Regression",
   "zh": "视觉 Transformer 人群计数回归",
   "level": "l3"
  },
  "CAP_302332b6": {
   "en": "Multi-scale Dilated Convolution Regression Head",
   "zh": "多尺度空洞卷积回归头",
   "level": "l3"
  },
  "CAP_f574ff94": {
   "en": "Cross-Attention Exemplar Matching",
   "zh": "交叉注意力示例匹配",
   "level": "l3"
  },
  "CAP_1700b064": {
   "en": "Regression Token Counting Head",
   "zh": "回归令牌计数头",
   "level": "l3"
  },
  "CAP_8398acae": {
   "en": "Transformer Counting MAE Evaluation",
   "zh": "Transformer 计数 MAE 评估",
   "level": "l3"
  },
  "CAP_4fc07e93": {
   "en": "Container Image Signing and Verification",
   "zh": "容器镜像签名与验签",
   "level": "l3"
  },
  "CAP_d640e920": {
   "en": "A/B Partition Rollback Orchestration",
   "zh": "A/B分区回滚编排",
   "level": "l3"
  },
  "CAP_5774288c": {
   "en": "Weighted Traffic Shifting and Progressive Delivery",
   "zh": "加权流量切换与渐进式交付",
   "level": "l3"
  },
  "CAP_922164fe": {
   "en": "Health Signal Adaptive Decision",
   "zh": "健康信号自适应决策",
   "level": "l3"
  },
  "CAP_9951a9c5": {
   "en": "Self-Supervised Monocular Depth Estimation",
   "zh": "自监督单目深度估计",
   "level": "l2"
  },
  "CAP_b1350579": {
   "en": "Depth Network Prediction and View Synthesis",
   "zh": "深度网络预测与视图合成",
   "level": "l3"
  },
  "CAP_9a0ebe91": {
   "en": "Self-Supervised Depth Network Training",
   "zh": "自监督深度网络训练",
   "level": "l3"
  },
  "CAP_cf6e4794": {
   "en": "Metric Depth Estimation",
   "zh": "度量深度估计",
   "level": "l2"
  },
  "CAP_0f5d4e35": {
   "en": "Canonical Camera Space Transformation",
   "zh": "规范相机空间变换",
   "level": "l3"
  },
  "CAP_597a1578": {
   "en": "Multi-Scale Feature Reassembly",
   "zh": "多尺度特征重组",
   "level": "l3"
  },
  "CAP_fade22e2": {
   "en": "Metric Bins Depth Prediction",
   "zh": "度量Bins深度预测",
   "level": "l3"
  },
  "CAP_22590ca1": {
   "en": "Joint Depth-Normal Optimization",
   "zh": "深度-法向联合优化",
   "level": "l3"
  },
  "CAP_dcf7e600": {
   "en": "Classical SGM Stereo Depth Pipeline",
   "zh": "经典SGM双目深度流水线",
   "level": "l2"
  },
  "CAP_e6b70e40": {
   "en": "Cost-Volume Deep Stereo Depth Pipeline",
   "zh": "代价体深度双目深度流水线",
   "level": "l2"
  },
  "CAP_3c169ead": {
   "en": "Dense Stereo Matching (Classical)",
   "zh": "稠密立体匹配（经典）",
   "level": "l3"
  },
  "CAP_25d87abc": {
   "en": "Disparity to Depth Conversion",
   "zh": "视差转深度",
   "level": "l3"
  },
  "CAP_a4cf9e42": {
   "en": "Stereo Calibration and Rectification",
   "zh": "立体标定与校正",
   "level": "l3"
  },
  "CAP_9935a63b": {
   "en": "Sparse Depth Completion",
   "zh": "稀疏深度补全",
   "level": "l2"
  },
  "CAP_ea7d8c49": {
   "en": "Global-Local Depth Fusion",
   "zh": "全局-局部深度融合",
   "level": "l3"
  },
  "CAP_c0a26eaf": {
   "en": "Pseudo-LiDAR Point Cloud Generation",
   "zh": "伪激光雷达点云生成",
   "level": "l3"
  },
  "CAP_044ba094": {
   "en": "Monocular Video Frame Sequence Extraction",
   "zh": "单目视频帧序列提取",
   "level": "l3"
  },
  "CAP_7186c82e": {
   "en": "Sparse LiDAR Projection Alignment",
   "zh": "稀疏LiDAR投影对齐",
   "level": "l3"
  },
  "CAP_050c0658": {
   "en": "Two-Branch Feature Extraction & Fusion",
   "zh": "双分支特征提取与融合",
   "level": "l3"
  },
  "CAP_9191046c": {
   "en": "Spatial Propagation Refinement Net",
   "zh": "空间传播精修网络",
   "level": "l3"
  },
  "CAP_3d2474ce": {
   "en": "Supervised Depth Regression Training Loss",
   "zh": "监督深度回归训练损失",
   "level": "l3"
  },
  "CAP_a4ae3f75": {
   "en": "Depth Completion Evaluation & Deployment",
   "zh": "深度补全评测与部署",
   "level": "l2"
  },
  "CAP_fab4acd9": {
   "en": "Depth Completion Benchmark Evaluation",
   "zh": "深度补全基准评测",
   "level": "l3"
  },
  "CAP_985cc159": {
   "en": "Depth Completion Model Deployment",
   "zh": "深度补全模型部署",
   "level": "l3"
  },
  "CAP_0aa1245e": {
   "en": "Self-Supervised LiDAR Depth Completion",
   "zh": "自监督LiDAR深度补全",
   "level": "l2"
  },
  "CAP_cef506b3": {
   "en": "Self-Supervised Depth Network Prediction",
   "zh": "自监督深度网络预测",
   "level": "l3"
  },
  "CAP_7be27f17": {
   "en": "Photometric Self-Supervised Depth Training",
   "zh": "光度自监督深度训练",
   "level": "l3"
  },
  "CAP_ff64700d": {
   "en": "RGBD Transparent Depth Completion",
   "zh": "RGB-D透明物体深度补全",
   "level": "l2"
  },
  "CAP_20559121": {
   "en": "Transparent Surface Masking",
   "zh": "透明表面掩码预测与清洗",
   "level": "l3"
  },
  "CAP_40f74a43": {
   "en": "Occlusion Boundary Detection",
   "zh": "遮挡与接触边界检测",
   "level": "l3"
  },
  "CAP_d2a0f45e": {
   "en": "Depth Global Optimization",
   "zh": "基于法线与边界的深度全局优化",
   "level": "l3"
  },
  "CAP_5def21ac": {
   "en": "TSDF Volumetric Depth Fusion Mapping",
   "zh": "TSDF体素体积深度融合建图",
   "level": "l3"
  },
  "CAP_3434410b": {
   "en": "Surfel-Based Depth Fusion Mapping",
   "zh": "Surfel面元深度融合建图",
   "level": "l3"
  },
  "CAP_d0368689": {
   "en": "Multi-Depth-Camera Rigid-Body Depth Fusion Mapping",
   "zh": "多深度相机刚体深度融合建图",
   "level": "l3"
  },
  "CAP_8efd721f": {
   "en": "Neural Implicit Depth Fusion Mapping",
   "zh": "神经隐式深度融合建图",
   "level": "l3"
  },
  "CAP_6ed6dc98": {
   "en": "Bilateral Depth Denoising & Pyramid",
   "zh": "双边滤波深度去噪与金字塔",
   "level": "l3"
  },
  "CAP_45b0f713": {
   "en": "Projective Data Association ICP Tracking",
   "zh": "投影数据关联ICP跟踪",
   "level": "l3"
  },
  "CAP_ffbd8fd9": {
   "en": "TSDF Voxel-Hashed Streaming Volumetric Mapping",
   "zh": "TSDF体素哈希流式体积融合建图",
   "level": "l3"
  },
  "CAP_6a5dc5a6": {
   "en": "GPU Volume Raycast Rendering",
   "zh": "GPU体积光线投射渲染",
   "level": "l3"
  },
  "CAP_6960439d": {
   "en": "Dense Volume Marching Cubes Meshing",
   "zh": "稠密体积Marching Cubes网格化",
   "level": "l3"
  },
  "CAP_f944192f": {
   "en": "BundleFusion Global Consistent TSDF Mapping",
   "zh": "BundleFusion全局一致TSDF建图",
   "level": "l3"
  },
  "CAP_c104f4af": {
   "en": "TSDF Frame Deletion for Reintegration",
   "zh": "TSDF帧删除重积分",
   "level": "l3"
  },
  "CAP_191e8b66": {
   "en": "Surfel Splatting Surface Prediction",
   "zh": "面元泼溅渲染预测",
   "level": "l3"
  },
  "CAP_7c4469eb": {
   "en": "Surfel Splatting Rendering",
   "zh": "Surfel Splatting渲染",
   "level": "l3"
  },
  "CAP_68bc895d": {
   "en": "RGBD Surfel Tracking and Fusion",
   "zh": "RGB-D面元跟踪与融合",
   "level": "l3"
  },
  "CAP_a0f43dbd": {
   "en": "Dense RGBD Surfel Pose Tracking",
   "zh": "稠密RGB-D面元位姿跟踪",
   "level": "l3"
  },
  "CAP_09b97610": {
   "en": "Surfel Weighted Fusion Update",
   "zh": "Surfel加权融合更新",
   "level": "l3"
  },
  "CAP_f2de0dc3": {
   "en": "Surfel Confidence-Weighted Fusion",
   "zh": "Surfel置信度加权融合",
   "level": "l3"
  },
  "CAP_0bb6ea3e": {
   "en": "Surfel Fusion Stability Management",
   "zh": "面元融合与稳定性管理",
   "level": "l3"
  },
  "CAP_8f46d6f2": {
   "en": "Random Fern Global Loop Closure Relocalization",
   "zh": "随机蕨全局回环重定位",
   "level": "l3"
  },
  "CAP_51f2d0cc": {
   "en": "Surfel Map Loop Closure and Deformation",
   "zh": "Surfel地图回环与变形",
   "level": "l3"
  },
  "CAP_57587e1c": {
   "en": "Surfel Deformation Graph Loop Closure",
   "zh": "面元形变图回环闭合",
   "level": "l3"
  },
  "CAP_5440237f": {
   "en": "Deformation Graph Global Consistency",
   "zh": "形变图全局一致性",
   "level": "l3"
  },
  "CAP_d92a6521": {
   "en": "Surfel Rendering and Mesh Extraction",
   "zh": "Surfel渲染与网格抽取",
   "level": "l3"
  },
  "CAP_89dc5b4a": {
   "en": "Depth Image 2D Costmap Navigation",
   "zh": "深度图二维代价地图导航",
   "level": "l2"
  },
  "CAP_e1f5632c": {
   "en": "Depth Image 3D Voxel Navigation",
   "zh": "深度图三维体素导航",
   "level": "l2"
  },
  "CAP_71a49c51": {
   "en": "Depth Image RL Navigation",
   "zh": "深度图强化学习导航",
   "level": "l2"
  },
  "CAP_37517f0b": {
   "en": "Depth Image to LaserScan Conversion",
   "zh": "深度图转伪激光扫描",
   "level": "l3"
  },
  "CAP_14ea7727": {
   "en": "Depth Image to PointCloud2 Conversion",
   "zh": "深度图转点云",
   "level": "l3"
  },
  "CAP_2ac99dae": {
   "en": "Depth Sensor Observation Acquisition",
   "zh": "深度传感器观测采集",
   "level": "l3"
  },
  "CAP_90ce7acc": {
   "en": "Occupancy Costmap 2D Construction",
   "zh": "二维占用代价地图构建",
   "level": "l3"
  },
  "CAP_32a2b255": {
   "en": "DWB MPPI RPP Local Controller",
   "zh": "DWB MPPI RPP 局部控制器",
   "level": "l3"
  },
  "CAP_b7626afa": {
   "en": "3D Obstacle Layer STVL",
   "zh": "三维障碍层 STVL",
   "level": "l3"
  },
  "CAP_f5e690ca": {
   "en": "PointNav Policy Inference",
   "zh": "PointNav 策略推理",
   "level": "l3"
  },
  "CAP_d7489ae7": {
   "en": "Depth Sensor-Based Bin Picking",
   "zh": "基于深度传感器的料箱拣取",
   "level": "l2"
  },
  "CAP_9d7fb9b8": {
   "en": "CAD Grasp Point Selection",
   "zh": "CAD 抓取点选择",
   "level": "l3"
  },
  "CAP_411fa58d": {
   "en": "Grasping Image Pair Rendering",
   "zh": "抓取图像对渲染",
   "level": "l3"
  },
  "CAP_20a113e6": {
   "en": "Depth Point Cloud Acquisition",
   "zh": "深度点云采集",
   "level": "l3"
  },
  "CAP_5c5346b1": {
   "en": "Model PPF Hash Table Construction",
   "zh": "模型 PPF 哈希表构建",
   "level": "l3"
  },
  "CAP_78d9513c": {
   "en": "Scene PPF Extraction and Hash Lookup",
   "zh": "场景 PPF 提取与哈希查询",
   "level": "l3"
  },
  "CAP_cf9b53cb": {
   "en": "Hough Voting Pose Clustering",
   "zh": "Hough 投票位姿聚类",
   "level": "l3"
  },
  "CAP_d7968617": {
   "en": "Pose Hypothesis Ranking and Output",
   "zh": "位姿假设排序与输出",
   "level": "l3"
  },
  "CAP_015ccb23": {
   "en": "Grasp Candidate Scoring Selection",
   "zh": "抓取候选评分选择",
   "level": "l3"
  },
  "CAP_a87c192a": {
   "en": "OWL 2 DL Reasoner Instantiation and Binding",
   "zh": "OWL 2 DL推理器实例化与绑定",
   "level": "l3"
  },
  "CAP_55465d05": {
   "en": "OWL 2 DL Classification and Consistency Precomputation",
   "zh": "OWL 2 DL本体分类与一致性预计算",
   "level": "l3"
  },
  "CAP_820dbd0f": {
   "en": "OWL 2 DL Reasoning Service Query",
   "zh": "OWL 2 DL推理服务查询",
   "level": "l3"
  },
  "CAP_c072d98e": {
   "en": "Inferred Axiom Generation and Ontology Materialization",
   "zh": "推断公理生成与本体物化",
   "level": "l3"
  },
  "CAP_4db11ec6": {
   "en": "OWL 2 EL/RL Profile Ontology Loading",
   "zh": "OWL 2 EL/RL Profile 本体加载",
   "level": "l3"
  },
  "CAP_45fb2fd3": {
   "en": "EL/RL Profile Reasoner Instantiation",
   "zh": "EL/RL Profile 推理器实例化",
   "level": "l3"
  },
  "CAP_5c04d066": {
   "en": "EL Concurrent Classification and RL Forward Chaining Closure",
   "zh": "EL 并发分类与 RL 前向链闭包扩展",
   "level": "l3"
  },
  "CAP_d6b0acea": {
   "en": "EL/RL Profile Reasoning Service Query",
   "zh": "EL/RL Profile 推理服务查询",
   "level": "l3"
  },
  "CAP_b832765b": {
   "en": "Inferred Triples/Axioms Export and Materialization",
   "zh": "推断三元组/公理导出与物化",
   "level": "l3"
  },
  "CAP_82cbcfbe": {
   "en": "Large-Scale Ontology Classification and Data Graph Closure",
   "zh": "大规模本体分类与数据图闭包扩展",
   "level": "l3"
  },
  "CAP_6ea7b259": {
   "en": "OWL-S ServiceProfile Loading and Parsing",
   "zh": "OWL-S ServiceProfile 加载与解析",
   "level": "l3"
  },
  "CAP_8f2cf410": {
   "en": "IOPE Parameter Extraction from ServiceProfile",
   "zh": "ServiceProfile IOPE 参数提取",
   "level": "l3"
  },
  "CAP_6198c41e": {
   "en": "DL Subsumption Degree-of-Match Computation",
   "zh": "DL subsumption 匹配度判定",
   "level": "l3"
  },
  "CAP_18846107": {
   "en": "Hybrid Logic-IR Service Matching",
   "zh": "混合逻辑-IR 服务匹配",
   "level": "l3"
  },
  "CAP_51e8096f": {
   "en": "Match Result Ranking and Service Selection",
   "zh": "匹配结果排序与服务选择",
   "level": "l3"
  },
  "CAP_33c24a08": {
   "en": "Box Based Head Detection Counting",
   "zh": "边界框头部检测计数",
   "level": "l2"
  },
  "CAP_d679c019": {
   "en": "Image Standardization and Resize",
   "zh": "图像标准化与尺寸对齐",
   "level": "l3"
  },
  "CAP_c0099e3d": {
   "en": "Detection Box NMS Dedup",
   "zh": "检测框NMS去重",
   "level": "l3"
  },
  "CAP_af0d31e6": {
   "en": "Detection Instance Count Aggregation",
   "zh": "检测实例计数聚合",
   "level": "l3"
  },
  "CAP_f12ff530": {
   "en": "MAE MSE Counting Evaluation",
   "zh": "MAE MSE 计数评估",
   "level": "l3"
  },
  "CAP_8f92596c": {
   "en": "Workflow Execution and Persistence",
   "zh": "工作流执行与持久化",
   "level": "l2"
  },
  "CAP_be7bb3d1": {
   "en": "Temporal Deterministic Workflow",
   "zh": "Temporal确定性Workflow代码约束",
   "level": "l3"
  },
  "CAP_2e850c6c": {
   "en": "Durable Side Effect Isolation",
   "zh": "持久化副作用隔离",
   "level": "l3"
  },
  "CAP_d0ca538c": {
   "en": "Event History Command Recording",
   "zh": "Event History命令记录与持久化",
   "level": "l3"
  },
  "CAP_ee0a473b": {
   "en": "Deterministic Replay Worker Versioning",
   "zh": "确定性重放Worker版本兼容",
   "level": "l3"
  },
  "CAP_403a1ff1": {
   "en": "Activity Task Timeout Retry",
   "zh": "Activity超时与重试策略",
   "level": "l3"
  },
  "CAP_404bc770": {
   "en": "Activity Heartbeat Progress Tracking",
   "zh": "Activity心跳进度跟踪",
   "level": "l3"
  },
  "CAP_0ccc415b": {
   "en": "Continue-As-New History Compaction",
   "zh": "Continue-As-New历史压缩",
   "level": "l3"
  },
  "CAP_a42e347a": {
   "en": "PLEXIL Static Plan Checking",
   "zh": "PLEXIL静态计划检查",
   "level": "l3"
  },
  "CAP_87cdf183": {
   "en": "PLEXIL Adapter Framework Interface",
   "zh": "PLEXIL Adapter Framework接口",
   "level": "l3"
  },
  "CAP_96e09229": {
   "en": "Formal Verification Microkernel Determinism",
   "zh": "形式化验证微内核确定性",
   "level": "l2"
  },
  "CAP_cb6ab261": {
   "en": "Abstract Specification Modeling",
   "zh": "抽象规约建模",
   "level": "l3"
  },
  "CAP_dd3c16e1": {
   "en": "Executable Implementation Construction",
   "zh": "可执行实现构造",
   "level": "l3"
  },
  "CAP_7488f475": {
   "en": "Trusted Kernel Proof Checking",
   "zh": "可信内核证明检查",
   "level": "l3"
  },
  "CAP_18dc0413": {
   "en": "Capability-Based Access Control",
   "zh": "Capability访问控制与空间隔离",
   "level": "l3"
  },
  "CAP_a9cc0645": {
   "en": "Information Flow Non-interference Proof",
   "zh": "信息流无干扰证明",
   "level": "l3"
  },
  "CAP_c0e6a0d1": {
   "en": "seL4 WCET Time Determinism",
   "zh": "seL4 WCET时间确定性分析",
   "level": "l3"
  },
  "CAP_7fd2d673": {
   "en": "seL4 Component System Configuration",
   "zh": "seL4组件系统配置",
   "level": "l3"
  },
  "CAP_3c54d112": {
   "en": "Record Replay Deterministic Debugging",
   "zh": "执行轨迹记录重放确定性调试",
   "level": "l2"
  },
  "CAP_377dae2c": {
   "en": "rr Single-core Emulation",
   "zh": "rr单核CPU模拟与调度控制",
   "level": "l3"
  },
  "CAP_44cfa0a8": {
   "en": "rr Non-deterministic Input Virtualization",
   "zh": "rr非确定性输入虚拟化",
   "level": "l3"
  },
  "CAP_e66d30f2": {
   "en": "rr Chaos Mode",
   "zh": "rr Chaos模式调度扰动",
   "level": "l3"
  },
  "CAP_8677ade0": {
   "en": "rr Checkpoint Reverse Execution",
   "zh": "rr Checkpoint反向执行",
   "level": "l3"
  },
  "CAP_d8ddf3fb": {
   "en": "rr Divergence Detection",
   "zh": "rr重放分歧检测",
   "level": "l3"
  },
  "CAP_c2f6a4b9": {
   "en": "Delta Debugging Failure Input Minimization",
   "zh": "Delta调试失败输入最小化",
   "level": "l3"
  },
  "CAP_891cb27e": {
   "en": "FP Discipline and Solver Ordering Determinism",
   "zh": "浮点纪律与求解器顺序确定性范式",
   "level": "l2"
  },
  "CAP_0305885b": {
   "en": "FP Cross-Platform Discipline",
   "zh": "跨平台浮点纪律",
   "level": "l3"
  },
  "CAP_0b216280": {
   "en": "State Snapshot Hash Verification",
   "zh": "状态快照哈希校验",
   "level": "l3"
  },
  "CAP_1264eced": {
   "en": "Determinism Scope Annotation",
   "zh": "确定性范围标注",
   "level": "l3"
  },
  "CAP_34d6eb0c": {
   "en": "Evaluation Deterministic Seeding",
   "zh": "评测确定性 Seeding",
   "level": "l3"
  },
  "CAP_a5b9a57c": {
   "en": "Constraint Row Reordering SI",
   "zh": "SI 约束行重排",
   "level": "l3"
  },
  "CAP_64ccd7cd": {
   "en": "Bullet 3D SI Manifold Pipeline",
   "zh": "Bullet 三维顺序冲量流形求解流水线",
   "level": "l3"
  },
  "CAP_b1564ed4": {
   "en": "Box2D 2D SI Soft Step Pipeline",
   "zh": "Box2D 二维顺序冲量软步求解流水线",
   "level": "l3"
  },
  "CAP_602074e7": {
   "en": "PhysX TGS Block Solver Pipeline",
   "zh": "PhysX TGS 块状求解流水线",
   "level": "l3"
  },
  "CAP_31acac82": {
   "en": "Physics Simulation Replay",
   "zh": "物理仿真回放与动作覆盖",
   "level": "l3"
  },
  "CAP_87c5f6a3": {
   "en": "Physics-based Trajectory Validation",
   "zh": "物理轨迹验证",
   "level": "l3"
  },
  "CAP_6a54c4ef": {
   "en": "Functional JAX Constructive Determinism",
   "zh": "函数式 JAX 构造性确定性范式",
   "level": "l2"
  },
  "CAP_9ea77fca": {
   "en": "XLA Cross-Device FP Unification",
   "zh": "XLA 跨设备浮点统一",
   "level": "l3"
  },
  "CAP_f10fd990": {
   "en": "JAX Differentiable Vectorized Environment",
   "zh": "JAX 可微向量化环境",
   "level": "l3"
  },
  "CAP_6bc79d1e": {
   "en": "JAX JIT Compilation for Physics",
   "zh": "JAX 物理 JIT 编译",
   "level": "l3"
  },
  "CAP_9d7944a7": {
   "en": "JAX XLA GPU Compilation",
   "zh": "JAX XLA GPU 编译",
   "level": "l3"
  },
  "CAP_d78aaa44": {
   "en": "JAX Physics Step Function",
   "zh": "JAX 物理步进函数",
   "level": "l3"
  },
  "CAP_a0e0f1aa": {
   "en": "JAX Physics Model Conversion",
   "zh": "JAX 物理模型转化",
   "level": "l3"
  },
  "CAP_5aaee591": {
   "en": "Vmap Batch Dimension Lifting",
   "zh": "Vmap 批维提升",
   "level": "l3"
  },
  "CAP_c5b8db46": {
   "en": "JAX Batch Physics Step",
   "zh": "JAX 批量物理步进",
   "level": "l3"
  },
  "CAP_b757d43f": {
   "en": "GPU Env Implementation Paradigm Selection",
   "zh": "GPU 环境实现范式选择",
   "level": "l3"
  },
  "CAP_f5dc54ce": {
   "en": "Fixed-Point Bit-Exact Cross-Platform Determinism",
   "zh": "定点位精确跨平台确定性范式",
   "level": "l2"
  },
  "CAP_2e999ba6": {
   "en": "Fixed-Point Arithmetic Engine",
   "zh": "定点算术引擎",
   "level": "l3"
  },
  "CAP_a3fcedc4": {
   "en": "Fixed-Point Collision Detection",
   "zh": "定点碰撞检测",
   "level": "l3"
  },
  "CAP_590e7ca9": {
   "en": "Fixed-Point Constraint Solver",
   "zh": "定点约束求解器",
   "level": "l3"
  },
  "CAP_47f4ae54": {
   "en": "Deterministic Lockstep Input Replay",
   "zh": "确定性锁步输入回放",
   "level": "l3"
  },
  "CAP_926325c3": {
   "en": "Cross-Platform Bit-Exact Verification",
   "zh": "跨平台位精确验证",
   "level": "l3"
  },
  "CAP_c2ef6521": {
   "en": "DeterministicConstraintShuffle",
   "zh": "确定性约束重排",
   "level": "l3"
  },
  "CAP_cdf9b10e": {
   "en": "SROS2 Enclave Policy File Management",
   "zh": "SROS2 飞地策略文件管理",
   "level": "l3"
  },
  "CAP_2d42ad2d": {
   "en": "SROS2 Runtime Configuration",
   "zh": "SROS2运行时安全配置",
   "level": "l3"
  },
  "CAP_a0b9b6d4": {
   "en": "SROS2 Secure Communication Verification",
   "zh": "SROS2安全通信验证",
   "level": "l3"
  },
  "CAP_983621f6": {
   "en": "Hardware Root of Trust Device Attestation",
   "zh": "硬件信任根设备证明",
   "level": "l2"
  },
  "CAP_0c2b8d66": {
   "en": "EK AK Key Hierarchy and Device Identity",
   "zh": "EK-AK密钥层级与设备身份",
   "level": "l3"
  },
  "CAP_1abad845": {
   "en": "Secure Element Device Identity",
   "zh": "安全元件设备身份",
   "level": "l3"
  },
  "CAP_d6542011": {
   "en": "IEEE 802.1AR Device Identity and 802.1X Port Access",
   "zh": "IEEE 802.1AR 设备身份与 802.1X 端口接入认证",
   "level": "l2"
  },
  "CAP_ef0fecb5": {
   "en": "IDevID/LDevID Device Identity Certificate Provisioning",
   "zh": "IDevID/LDevID 设备身份证书置备",
   "level": "l3"
  },
  "CAP_eeea3a78": {
   "en": "802.1X EAP-TLS Port Authentication Handshake",
   "zh": "802.1X EAP-TLS 端口认证双向证书握手",
   "level": "l3"
  },
  "CAP_3a5a1062": {
   "en": "RADIUS Certificate Verification and Port Policy",
   "zh": "RADIUS 证书校验与端口策略下发",
   "level": "l3"
  },
  "CAP_b359eb3b": {
   "en": "Cloud Managed Device Identity X.509 mTLS and JITP",
   "zh": "云端托管设备身份X.509 mTLS与JITP",
   "level": "l2"
  },
  "CAP_c62996d6": {
   "en": "Device X.509 Client Certificate Cloud mTLS",
   "zh": "设备X.509客户端证书云端mTLS",
   "level": "l3"
  },
  "CAP_695f3cfe": {
   "en": "Just-in-Time Provisioning Auto Registration",
   "zh": "即时配置自动注册",
   "level": "l3"
  },
  "CAP_80ca885c": {
   "en": "X.509 Certificate to Temporary Cloud Credential Exchange",
   "zh": "X.509证书换取临时云凭证",
   "level": "l3"
  },
  "CAP_edc6a0d8": {
   "en": "FIDO Device Onboard Zero-Touch Onboarding",
   "zh": "FIDO设备入网零接触引导",
   "level": "l2"
  },
  "CAP_9fdf2ebf": {
   "en": "FDO DI Device Initialization and Credential Provisioning",
   "zh": "FDO DI设备初始化与凭证置备",
   "level": "l3"
  },
  "CAP_382f3e83": {
   "en": "FDO TO0 TO1 TO2 Ownership Transfer Protocol",
   "zh": "FDO TO0/TO1/TO2所有权转移协议",
   "level": "l3"
  },
  "CAP_2b12616b": {
   "en": "Ownership Voucher Chain Construction and Supply Chain Transfer",
   "zh": "所有权凭证链构建与供应链传递",
   "level": "l3"
  },
  "CAP_8fdc1bc9": {
   "en": "SRDF Semantic Description Generation",
   "zh": "SRDF语义描述生成",
   "level": "l2"
  },
  "CAP_65018113": {
   "en": "URDF To Simulator Format Conversion",
   "zh": "URDF到仿真器格式转换",
   "level": "l2"
  },
  "CAP_fe8ca16b": {
   "en": "Simulator Specific Format Enhancement",
   "zh": "仿真器专有格式补全",
   "level": "l3"
  },
  "CAP_e08f278a": {
   "en": "URDF Robot Model Loading and Link Geometry Construction",
   "zh": "URDF机器人模型加载与连杆几何构造",
   "level": "l3"
  },
  "CAP_aebdeddf": {
   "en": "MoveIt2 PlanningScene Assembly and ACM Configuration",
   "zh": "MoveIt2规划场景组装与ACM配置",
   "level": "l3"
  },
  "CAP_a8fcbd3c": {
   "en": "URDF Link Element Definition",
   "zh": "URDF Link元素定义",
   "level": "l3"
  },
  "CAP_53ec7ae5": {
   "en": "Xacro File Include And YAML Loading",
   "zh": "Xacro文件包含与YAML配置加载",
   "level": "l3"
  },
  "CAP_33f15733": {
   "en": "CAD To URDF Export",
   "zh": "CAD模型到URDF导出",
   "level": "l3"
  },
  "CAP_6dcc24e4": {
   "en": "Ros2Control Hardware URDF Description",
   "zh": "ros2_control硬件URDF描述",
   "level": "l3"
  },
  "CAP_6a2d431c": {
   "en": "SRDF Virtual Joint Definition",
   "zh": "SRDF虚拟关节定义",
   "level": "l3"
  },
  "CAP_80190686": {
   "en": "SRDF End Effector And Robot Pose Definition",
   "zh": "SRDF末端执行器与预定义位姿定义",
   "level": "l3"
  },
  "CAP_afb3281e": {
   "en": "SRDF Passive Joint Labeling",
   "zh": "SRDF被动关节标注",
   "level": "l3"
  },
  "CAP_b243f0f0": {
   "en": "URDF To MJCF Conversion",
   "zh": "URDF转MJCF（MuJoCo）",
   "level": "l3"
  },
  "CAP_16927d83": {
   "en": "URDF To USD Conversion",
   "zh": "URDF转USD（Isaac Sim）",
   "level": "l3"
  },
  "CAP_1e6ab372": {
   "en": "Secure Keystore Generation",
   "zh": "安全密钥库生成",
   "level": "l2"
  },
  "CAP_76487439": {
   "en": "DDS Security Property Configuration",
   "zh": "DDS 安全属性配置",
   "level": "l3"
  },
  "CAP_8b39a9af": {
   "en": "Session Key Derivation and Encryption",
   "zh": "会话密钥派生与加密",
   "level": "l2"
  },
  "CAP_b3d17bbb": {
   "en": "Secure Boot and Measured Boot Integration",
   "zh": "安全启动与度量启动集成",
   "level": "l3"
  },
  "CAP_2a854c9a": {
   "en": "FIDO2 Challenge-Response Attestation",
   "zh": "FIDO2 挑战-应答证明",
   "level": "l3"
  },
  "CAP_b50678e5": {
   "en": "Secure Boot and Measurement",
   "zh": "安全启动与度量",
   "level": "l2"
  },
  "CAP_f3d8e908": {
   "en": "Firmware Image Verification",
   "zh": "固件镜像验签",
   "level": "l3"
  },
  "CAP_6a32d030": {
   "en": "Multi-slot Swap",
   "zh": "多槽位固件交换",
   "level": "l3"
  },
  "CAP_b1b68ae0": {
   "en": "Measured Boot and PCR Extend",
   "zh": "度量启动与PCR扩展",
   "level": "l3"
  },
  "CAP_493cae3a": {
   "en": "Remote Attestation Preparation",
   "zh": "远程证明准备",
   "level": "l2"
  },
  "CAP_bc29ccaf": {
   "en": "AK Key Generation",
   "zh": "AK密钥生成",
   "level": "l3"
  },
  "CAP_cdf998b4": {
   "en": "TPM2 Quote Generation",
   "zh": "TPM2 Quote生成",
   "level": "l3"
  },
  "CAP_c2265419": {
   "en": "Remote Attestation Verification",
   "zh": "远程证明验证",
   "level": "l3"
  },
  "CAP_7c5d812d": {
   "en": "Quote Signature Verification",
   "zh": "Quote签名验证",
   "level": "l3"
  },
  "CAP_04b663f9": {
   "en": "PCR Value Comparison",
   "zh": "PCR值比对",
   "level": "l3"
  },
  "CAP_4defdfd8": {
   "en": "Device Key and Certificate Preparation",
   "zh": "设备密钥与证书准备",
   "level": "l2"
  },
  "CAP_79b4c15e": {
   "en": "Device Key Pair Generation",
   "zh": "设备密钥对生成",
   "level": "l3"
  },
  "CAP_41a597bb": {
   "en": "CSR Generation",
   "zh": "证书签名请求生成",
   "level": "l3"
  },
  "CAP_4721f555": {
   "en": "JITP Auto-Registration and Activation",
   "zh": "JITP自动注册与激活",
   "level": "l2"
  },
  "CAP_f7e47ca1": {
   "en": "TLS Connection with SNI",
   "zh": "带SNI的TLS连接",
   "level": "l3"
  },
  "CAP_dec6cae8": {
   "en": "JITP Registration and Activation",
   "zh": "JITP注册与激活",
   "level": "l3"
  },
  "CAP_00a86c08": {
   "en": "Secure Communication and Lifecycle Management",
   "zh": "安全通信与生命周期管理",
   "level": "l2"
  },
  "CAP_932d08cc": {
   "en": "mTLS Connection Establishment",
   "zh": "mTLS连接建立",
   "level": "l3"
  },
  "CAP_ca3437f5": {
   "en": "Certificate Renewal and Revocation",
   "zh": "证书轮换与吊销",
   "level": "l3"
  },
  "CAP_d2e4bd93": {
   "en": "Metrics Exposure & App Instrumentation",
   "zh": "指标暴露与应用仪表化",
   "level": "l3"
  },
  "CAP_108cc8bc": {
   "en": "Pushgateway Ephemeral Job Metrics",
   "zh": "Pushgateway短时任务指标",
   "level": "l3"
  },
  "CAP_390c2d7b": {
   "en": "Scrape Configuration & Service Discovery",
   "zh": "Scrape配置与服务发现",
   "level": "l3"
  },
  "CAP_41473e4e": {
   "en": "Mimir Long-term Storage & Cross-Instance Query",
   "zh": "Mimir长期存储与跨实例查询",
   "level": "l3"
  },
  "CAP_78e4b8fb": {
   "en": "Alert State Machine",
   "zh": "告警状态机",
   "level": "l3"
  },
  "CAP_f32b1ce2": {
   "en": "Prometheus TSDB Local Storage",
   "zh": "Prometheus TSDB本地存储",
   "level": "l3"
  },
  "CAP_d6a22c1a": {
   "en": "PromQL Query & Recording Rules",
   "zh": "PromQL查询与录制规则",
   "level": "l3"
  },
  "CAP_1c8439cc": {
   "en": "OTel Traces Instrumentation",
   "zh": "OTel追踪插桩",
   "level": "l3"
  },
  "CAP_8d3e7ac8": {
   "en": "OTel Metrics Instrumentation",
   "zh": "OTel指标插桩",
   "level": "l3"
  },
  "CAP_81f9e7ed": {
   "en": "Multi-Backend Fan-Out Export",
   "zh": "多后端分发导出",
   "level": "l3"
  },
  "CAP_7cf47e54": {
   "en": "Trace-ID Three-Signal Correlation Visualization",
   "zh": "Trace-ID三信号关联可视化",
   "level": "l3"
  },
  "CAP_b025f0d6": {
   "en": "Keep Multi-Source Alert Ingestion",
   "zh": "Keep多源告警接入",
   "level": "l3"
  },
  "CAP_a0e59520": {
   "en": "Keep Enrichment & Dedup",
   "zh": "Keep富化与去重",
   "level": "l3"
  },
  "CAP_f38b45dc": {
   "en": "Differentiable Force-Closure Grasp Synthesis",
   "zh": "可微力闭合抓取优化合成",
   "level": "l2"
  },
  "CAP_54231352": {
   "en": "Object Mesh Preprocessing",
   "zh": "物体mesh预处理",
   "level": "l3"
  },
  "CAP_d783f40d": {
   "en": "Convex Decomposition",
   "zh": "凸分解碰撞mesh生成",
   "level": "l3"
  },
  "CAP_c369b82d": {
   "en": "Hand Initialization & Contact Sampling",
   "zh": "手部初始化与接触点采样",
   "level": "l3"
  },
  "CAP_97d0fe84": {
   "en": "Differentiable Force Closure Estimator",
   "zh": "可微力闭合估计器",
   "level": "l3"
  },
  "CAP_45d7df41": {
   "en": "Penetration & Joint-Limit Constraint Energy",
   "zh": "穿模与关节限幅约束能量",
   "level": "l3"
  },
  "CAP_dc005c23": {
   "en": "Modified MALA Grasp Optimization",
   "zh": "改进MALA抓取优化",
   "level": "l3"
  },
  "CAP_fd62a80c": {
   "en": "Isaac Gym Grasp Validation",
   "zh": "Isaac Gym抓取验证",
   "level": "l3"
  },
  "CAP_5d1e5ebf": {
   "en": "Validated Grasp Dataset Output",
   "zh": "验证通过抓取数据集输出",
   "level": "l3"
  },
  "CAP_c31d3d19": {
   "en": "Simulation RL Diverse Grasp Pipeline",
   "zh": "仿真RL多样化灵巧抓取管线",
   "level": "l2"
  },
  "CAP_abaf3a6d": {
   "en": "Diverse Proposal Generation via RL",
   "zh": "多样化抓取候选生成",
   "level": "l3"
  },
  "CAP_4d3a5a48": {
   "en": "Diverse Grasp Configuration Output",
   "zh": "多样化抓取配置输出",
   "level": "l3"
  },
  "CAP_4f99a2db": {
   "en": "Contact Map Prediction",
   "zh": "接触图预测",
   "level": "l3"
  },
  "CAP_3dc8a060": {
   "en": "Foundation-Model-Driven Human Grasp Retargeting",
   "zh": "基础模型驱动人类抓取重定向合成",
   "level": "l2"
  },
  "CAP_c9a309d3": {
   "en": "Human Grasp Image Generation",
   "zh": "人类抓取图像生成",
   "level": "l3"
  },
  "CAP_8921b383": {
   "en": "Hand-Object 3D Reconstruction",
   "zh": "手-物三维重建",
   "level": "l3"
  },
  "CAP_87fc6173": {
   "en": "Dexterous Hand Retargeting",
   "zh": "灵巧手重定向",
   "level": "l3"
  },
  "CAP_c20e243a": {
   "en": "Grasp-Type-Conditioned Template Adaptation Synthesis",
   "zh": "抓取类型条件化的模板适配合成",
   "level": "l2"
  },
  "CAP_fd20ccc8": {
   "en": "Object-to-Template Global Alignment",
   "zh": "物体适配手模板全局对齐",
   "level": "l3"
  },
  "CAP_780bf9b3": {
   "en": "Simulation-Based Local Hand Refinement",
   "zh": "基于仿真的局部手部精修",
   "level": "l3"
  },
  "CAP_4cb366e0": {
   "en": "Type-Conditioned Grasp Generation",
   "zh": "类型条件化抓取生成",
   "level": "l3"
  },
  "CAP_33de5242": {
   "en": "Hardware Component Failure Rate Query",
   "zh": "硬件元件失效率查询",
   "level": "l3"
  },
  "CAP_122ee8b2": {
   "en": "Diagnostic Coverage Lookup Assignment",
   "zh": "诊断覆盖率查表赋值",
   "level": "l3"
  },
  "CAP_99126c0b": {
   "en": "FMEDA Fault Classification",
   "zh": "FMEDA 故障分类",
   "level": "l3"
  },
  "CAP_31a80858": {
   "en": "Hardware Safety Metric Calculation",
   "zh": "硬件安全度量计算",
   "level": "l3"
  },
  "CAP_58636922": {
   "en": "Safety Metric Noncompliance Optimization",
   "zh": "安全度量不达标优化",
   "level": "l3"
  },
  "CAP_c503fe23": {
   "en": "SRP/CS Category Selection",
   "zh": "SRP/CS 类别选择与架构设计",
   "level": "l3"
  },
  "CAP_02b084e9": {
   "en": "Diagnostic Coverage Level Assessment",
   "zh": "诊断覆盖率等级评估",
   "level": "l3"
  },
  "CAP_b25c95b7": {
   "en": "Performance Level Verification",
   "zh": "性能等级验证",
   "level": "l2"
  },
  "CAP_b957bf04": {
   "en": "Common Cause Failure Scoring",
   "zh": "共因失效评分",
   "level": "l3"
  },
  "CAP_1de2ac4a": {
   "en": "Performance Level Graph Calculation",
   "zh": "性能等级查图计算",
   "level": "l3"
  },
  "CAP_a3935aab": {
   "en": "ISO 13849-1 Optimization and Certification",
   "zh": "ISO 13849-1 优化与认证交付",
   "level": "l3"
  },
  "CAP_ecaa8d4c": {
   "en": "FIT Fault Sample Generation",
   "zh": "FMEDA 失效模式→故障样本集生成",
   "level": "l3"
  },
  "CAP_5a6d9a01": {
   "en": "Fault Detection and Safe State Monitoring",
   "zh": "故障检测与 Safe State 监控",
   "level": "l3"
  },
  "CAP_8e165ebe": {
   "en": "Empirical DC Calculation",
   "zh": "经验 DC 计算与统计分析",
   "level": "l3"
  },
  "CAP_eb50ec3f": {
   "en": "FIT-to-FMEDA Feedback Loop",
   "zh": "FIT 结果回填 FMEDA DC 列闭环修正",
   "level": "l3"
  },
  "CAP_97571b12": {
   "en": "Dialogue Instruction Reception",
   "zh": "对话指令接收",
   "level": "l3"
  },
  "CAP_b2a88697": {
   "en": "Execution Failure Retry and Replan",
   "zh": "执行失败重试与重规划",
   "level": "l3"
  },
  "CAP_62e40e8b": {
   "en": "LLM Code Generation for Robot Control",
   "zh": "LLM 机器人控制代码生成",
   "level": "l3"
  },
  "CAP_99ad3c93": {
   "en": "Generated Code Validation and Sandbox Execution",
   "zh": "生成代码验证与沙箱执行",
   "level": "l3"
  },
  "CAP_31b780cb": {
   "en": "Multimodal Input Encoding",
   "zh": "多模态输入编码",
   "level": "l2"
  },
  "CAP_ea44bd9d": {
   "en": "Interleaved Token Concatenation",
   "zh": "交错 token 拼接",
   "level": "l3"
  },
  "CAP_e84a2224": {
   "en": "FiLM EfficientNet Image Tokenization",
   "zh": "FiLM 高效网络图像 token 化",
   "level": "l3"
  },
  "CAP_c723437f": {
   "en": "Task and Plan Reasoning Step",
   "zh": "任务与计划推理步骤",
   "level": "l3"
  },
  "CAP_0645e791": {
   "en": "VL Robot Co-Training",
   "zh": "视觉语言机器人协同训练",
   "level": "l3"
  },
  "CAP_be2605ee": {
   "en": "Summary Buffer Hybrid Memory",
   "zh": "摘要缓冲混合记忆",
   "level": "l3"
  },
  "CAP_7b19de12": {
   "en": "Context Token Telemetry",
   "zh": "上下文令牌遥测",
   "level": "l3"
  },
  "CAP_5a6d82df": {
   "en": "Sliding Window Buffer Management",
   "zh": "滑动窗口缓冲管理",
   "level": "l3"
  },
  "CAP_7dbf541e": {
   "en": "Structured Summary Generation",
   "zh": "结构化摘要生成",
   "level": "l3"
  },
  "CAP_ef387ac9": {
   "en": "Context Offload And Page In",
   "zh": "上下文卸载与换入",
   "level": "l3"
  },
  "CAP_375509e7": {
   "en": "Tool Result Truncation",
   "zh": "工具结果截断",
   "level": "l3"
  },
  "CAP_d3df853e": {
   "en": "Context Window Monitoring",
   "zh": "上下文窗口监控",
   "level": "l2"
  },
  "CAP_f935ff86": {
   "en": "Token Count Monitoring",
   "zh": "令牌计数监控",
   "level": "l3"
  },
  "CAP_edd5a4b4": {
   "en": "Memory Pressure Injection",
   "zh": "记忆压力注入",
   "level": "l3"
  },
  "CAP_75bd7e53": {
   "en": "Self Directed Memory Management",
   "zh": "自主记忆管理",
   "level": "l3"
  },
  "CAP_45bc0fe4": {
   "en": "Memory Insert",
   "zh": "记忆插入",
   "level": "l3"
  },
  "CAP_90a18b48": {
   "en": "External Storage Interaction",
   "zh": "外部存储交互",
   "level": "l3"
  },
  "CAP_656522bb": {
   "en": "Archival Storage Insert",
   "zh": "归档存储插入",
   "level": "l3"
  },
  "CAP_c8b86944": {
   "en": "Archival Storage Search",
   "zh": "归档存储搜索",
   "level": "l3"
  },
  "CAP_26e978a4": {
   "en": "Recursive Summary Generation",
   "zh": "递归摘要生成",
   "level": "l3"
  },
  "CAP_bb7f1700": {
   "en": "Context Trigger Detection",
   "zh": "上下文触发检测",
   "level": "l3"
  },
  "CAP_55ab70a4": {
   "en": "Token Counting",
   "zh": "令牌计数",
   "level": "l3"
  },
  "CAP_0fd24c88": {
   "en": "Summary Buffer Management",
   "zh": "摘要缓冲管理",
   "level": "l3"
  },
  "CAP_ff1d19e7": {
   "en": "Message Extraction",
   "zh": "消息提取",
   "level": "l3"
  },
  "CAP_633bff0d": {
   "en": "Tool Output Offloading",
   "zh": "工具输出卸载",
   "level": "l3"
  },
  "CAP_0b2275a7": {
   "en": "Memory Ingestion and Indexing",
   "zh": "记忆摄取与索引",
   "level": "l2"
  },
  "CAP_0fd2f2b0": {
   "en": "Hybrid Search And Rank Fusion",
   "zh": "混合检索与排序融合",
   "level": "l3"
  },
  "CAP_276c9dc4": {
   "en": "Context-Aware Memory Ingestion",
   "zh": "上下文感知记忆摄取",
   "level": "l2"
  },
  "CAP_6f273fc3": {
   "en": "Message Embedding",
   "zh": "消息嵌入",
   "level": "l3"
  },
  "CAP_3c1f0a13": {
   "en": "Vector Similarity Search",
   "zh": "向量相似度搜索",
   "level": "l3"
  },
  "CAP_eadd9f4d": {
   "en": "Context-Aware Fact Extraction",
   "zh": "上下文感知事实提取",
   "level": "l3"
  },
  "CAP_3447bc8b": {
   "en": "Dual-Store Indexing",
   "zh": "双存储索引",
   "level": "l3"
  },
  "CAP_3b0ced51": {
   "en": "Hybrid Memory Retrieval",
   "zh": "混合记忆检索",
   "level": "l2"
  },
  "CAP_ba1e4376": {
   "en": "Temporal Intent Detection",
   "zh": "时间意图检测",
   "level": "l3"
  },
  "CAP_1ac13135": {
   "en": "Two-Stage Vector Retrieval",
   "zh": "两阶段向量检索",
   "level": "l3"
  },
  "CAP_0e04136a": {
   "en": "BM25 Keyword Retrieval",
   "zh": "BM25 关键词检索",
   "level": "l3"
  },
  "CAP_200fd759": {
   "en": "RRF Fusion",
   "zh": "RRF 融合",
   "level": "l3"
  },
  "CAP_bc894070": {
   "en": "Cross-Encoder Rerank",
   "zh": "交叉编码器重排",
   "level": "l3"
  },
  "CAP_9ce9c9ae": {
   "en": "Memory Ingestion and Dual Storage",
   "zh": "记忆摄取与双存储",
   "level": "l2"
  },
  "CAP_4c41a565": {
   "en": "Dual Storage Write",
   "zh": "双存储写入",
   "level": "l3"
  },
  "CAP_e54dd3f2": {
   "en": "Memory Retrieval and Fusion",
   "zh": "记忆检索与融合",
   "level": "l2"
  },
  "CAP_e8969c2b": {
   "en": "Hybrid Search",
   "zh": "混合检索",
   "level": "l3"
  },
  "CAP_61ebe52a": {
   "en": "Temporal Boosting",
   "zh": "时间提升",
   "level": "l3"
  },
  "CAP_72fa415d": {
   "en": "BGE-2 Rerank",
   "zh": "BGE-2重排序",
   "level": "l3"
  },
  "CAP_d657d71e": {
   "en": "Structured Fact Extraction and Graph Memory",
   "zh": "结构化事实抽取与图记忆",
   "level": "l2"
  },
  "CAP_ec71aaf1": {
   "en": "Structured Fact Extraction",
   "zh": "结构化事实抽取",
   "level": "l3"
  },
  "CAP_476f4095": {
   "en": "Entity Resolution",
   "zh": "实体解析与去重",
   "level": "l3"
  },
  "CAP_2fca48e0": {
   "en": "Graph Storage Update",
   "zh": "图存储与更新",
   "level": "l3"
  },
  "CAP_19ea740b": {
   "en": "Graph Traversal Retrieval",
   "zh": "图遍历与混合检索",
   "level": "l3"
  },
  "CAP_b6e5b9f6": {
   "en": "Hierarchical Memory Consolidation",
   "zh": "层级记忆合并",
   "level": "l3"
  },
  "CAP_b1a6fd4c": {
   "en": "Rerank Context Assembly",
   "zh": "重排序与上下文组装",
   "level": "l3"
  },
  "CAP_98f7ebe3": {
   "en": "Temporal-Hierarchical Memory Ingestion",
   "zh": "时间层次记忆摄取",
   "level": "l2"
  },
  "CAP_b5e60426": {
   "en": "Hierarchical Recall and Gating",
   "zh": "分层召回与门控",
   "level": "l2"
  },
  "CAP_d19eaf65": {
   "en": "Differentiable Constraint-Satisfaction Solving",
   "zh": "可微约束满足求解层",
   "level": "l2"
  },
  "CAP_3e3cda01": {
   "en": "MAXSAT Variable-Clause Encoding",
   "zh": "MAXSAT 变量-子句结构编码",
   "level": "l3"
  },
  "CAP_1385bf7f": {
   "en": "Low-Rank SDP Layer Configuration",
   "zh": "低秩 SDP 松弛层配置",
   "level": "l3"
  },
  "CAP_4e4acd1a": {
   "en": "Input Continuous Relaxation",
   "zh": "已知赋值连续松弛",
   "level": "l3"
  },
  "CAP_e23a6ef6": {
   "en": "SDP Coordinate Descent Forward Solve",
   "zh": "SDP 坐标下降 MAXSAT 前向求解",
   "level": "l3"
  },
  "CAP_759c56cf": {
   "en": "Randomized Rounding Output Recovery",
   "zh": "随机化舍入输出恢复",
   "level": "l3"
  },
  "CAP_c74708c6": {
   "en": "Analytic SDP Backward Differentiation",
   "zh": "SDP 不动点解析反向微分",
   "level": "l3"
  },
  "CAP_baaed62e": {
   "en": "End-to-End Differentiable Solver Integration",
   "zh": "可微约束求解层端到端集成",
   "level": "l3"
  },
  "CAP_4eae13f5": {
   "en": "Differentiable Logic-Program Inference",
   "zh": "可微逻辑程序推理（算术电路编译）",
   "level": "l2"
  },
  "CAP_f2514396": {
   "en": "Neural Annotated Disjunction Program Authoring",
   "zh": "神经标注析取程序编写",
   "level": "l3"
  },
  "CAP_92b213e4": {
   "en": "Query Grounding with Neural Forward",
   "zh": "带神经谓词前向的查询接地",
   "level": "l3"
  },
  "CAP_8f632db1": {
   "en": "SDD Knowledge Compilation",
   "zh": "SDD 知识编译为算术电路",
   "level": "l3"
  },
  "CAP_0c11bfc1": {
   "en": "Probability Semiring Forward Evaluation",
   "zh": "概率半环前向求值",
   "level": "l3"
  },
  "CAP_4e048701": {
   "en": "Gradient Semiring Backward Differentiation",
   "zh": "梯度半环反向微分",
   "level": "l3"
  },
  "CAP_5d77d6a0": {
   "en": "Neural Backprop Joint Update",
   "zh": "神经反传与联合参数更新",
   "level": "l3"
  },
  "CAP_2f56ca41": {
   "en": "Deductive Database Matrix Compilation",
   "zh": "演绎数据库因子图矩阵运算编译",
   "level": "l3"
  },
  "CAP_60171263": {
   "en": "Differentiable Theorem Proving",
   "zh": "可微定理证明（神经嵌入合一）",
   "level": "l2"
  },
  "CAP_70f50b64": {
   "en": "Knowledge Base Rule Template Authoring",
   "zh": "知识库与规则模板编写",
   "level": "l3"
  },
  "CAP_65c8633a": {
   "en": "Symbol Embedding Initialization",
   "zh": "符号嵌入初始化",
   "level": "l3"
  },
  "CAP_e0be9401": {
   "en": "Neural Unification via Embedding Similarity",
   "zh": "神经合一（嵌入相似度）",
   "level": "l3"
  },
  "CAP_26cab083": {
   "en": "Differentiable Backward Chaining",
   "zh": "可微反向链式推理",
   "level": "l3"
  },
  "CAP_622ca2c3": {
   "en": "Proof Aggregation and Success Scoring",
   "zh": "证明聚合与成功评分",
   "level": "l3"
  },
  "CAP_2facc3bb": {
   "en": "Gradient Rule Induction and Learning",
   "zh": "梯度规则归纳与学习",
   "level": "l3"
  },
  "CAP_62568948": {
   "en": "Batch Proving and Kmax Truncation",
   "zh": "批量证明与 Kmax 截断加速",
   "level": "l3"
  },
  "CAP_1a7c94ab": {
   "en": "Differentiable First-Order Logic",
   "zh": "可微一阶逻辑（模糊多值张量接地）",
   "level": "l2"
  },
  "CAP_8fdd9c98": {
   "en": "FOL Axiom Library Authoring",
   "zh": "一阶逻辑公理库编写",
   "level": "l3"
  },
  "CAP_29649f4b": {
   "en": "Real Logic Symbol Grounding",
   "zh": "Real Logic 符号接地",
   "level": "l3"
  },
  "CAP_436c1e74": {
   "en": "Fuzzy Connective Configuration",
   "zh": "模糊连接词配置",
   "level": "l3"
  },
  "CAP_6c73a4c5": {
   "en": "Fuzzy Quantifier Aggregation",
   "zh": "模糊量词聚合",
   "level": "l3"
  },
  "CAP_700b7d95": {
   "en": "Formula Grounding to Computation Graph",
   "zh": "公式接地为可微计算图",
   "level": "l3"
  },
  "CAP_be441c44": {
   "en": "Axiom-Constrained Gradient Learning",
   "zh": "公理约束梯度学习",
   "level": "l3"
  },
  "CAP_76032705": {
   "en": "Differentiable Query and Inference",
   "zh": "可微查询与推理",
   "level": "l3"
  },
  "CAP_bccc6e0c": {
   "en": "ROS2 Control Differential Drive Pipeline",
   "zh": "ROS2 Control 差速驱动控制流水线",
   "level": "l2"
  },
  "CAP_8a7a03ae": {
   "en": "Slip Compensated Inverse Kinematics",
   "zh": "滑移补偿逆运动学",
   "level": "l3"
  },
  "CAP_04ab98a4": {
   "en": "ROS2 Control Hardware Interface Command Dispatch",
   "zh": "ROS2 Control 硬件接口命令下发",
   "level": "l3"
  },
  "CAP_47beb4d7": {
   "en": "PX4 Rover Differential Control Pipeline",
   "zh": "PX4 差速 Rover 控制流水线",
   "level": "l2"
  },
  "CAP_f63f22c3": {
   "en": "Differential Frame Configuration",
   "zh": "差速帧型配置",
   "level": "l3"
  },
  "CAP_3fa18fc3": {
   "en": "Rover Differential Mode Dispatch",
   "zh": "差速 Rover 模式分发",
   "level": "l3"
  },
  "CAP_f64d625f": {
   "en": "Differential Position Control",
   "zh": "差速位置控制",
   "level": "l3"
  },
  "CAP_614c417c": {
   "en": "Differential Attitude Control",
   "zh": "差速航向控制",
   "level": "l3"
  },
  "CAP_c1224daa": {
   "en": "Differential Speed Control",
   "zh": "差速线速度控制",
   "level": "l3"
  },
  "CAP_aa309617": {
   "en": "Differential Rate Control",
   "zh": "差速横摆角速率控制",
   "level": "l3"
  },
  "CAP_73208d57": {
   "en": "Differential Actuator Control",
   "zh": "差速执行器混合",
   "level": "l3"
  },
  "CAP_0e761695": {
   "en": "Learning-based Differential Drive Control Pipeline",
   "zh": "学习型差速驱动控制流水线",
   "level": "l2"
  },
  "CAP_cae52247": {
   "en": "RL Navigation Gym Environment",
   "zh": "RL导航Gym环境",
   "level": "l3"
  },
  "CAP_5a3db892": {
   "en": "RL Observation Construction (Differential Navigation)",
   "zh": "RL观测构建（差速导航）",
   "level": "l3"
  },
  "CAP_d7822022": {
   "en": "RVO Shaped Reward And Training",
   "zh": "RVO 塑形奖励与训练",
   "level": "l3"
  },
  "CAP_860fcd0d": {
   "en": "Differential Drive Mapping And Goal Check",
   "zh": "差速底盘映射与目标判定",
   "level": "l3"
  },
  "CAP_5499ae60": {
   "en": "Sim-to-real Domain Randomization Transfer (Differential Navigation)",
   "zh": "sim-to-real域随机化迁移（差速导航）",
   "level": "l3"
  },
  "CAP_92cb4632": {
   "en": "Central DP-SGD Model Training Pipeline",
   "zh": "中央 DP-SGD 模型训练流水线",
   "level": "l2"
  },
  "CAP_78ee15be": {
   "en": "DP Training Hyperparameter Configuration",
   "zh": "DP 训练超参配置",
   "level": "l3"
  },
  "CAP_a0c25b65": {
   "en": "Per-Sample Gradient Hook Attachment",
   "zh": "逐样本梯度 Hook 挂载",
   "level": "l3"
  },
  "CAP_71cbfe47": {
   "en": "Per-Sample Gradient Clipping",
   "zh": "逐样本梯度裁剪",
   "level": "l3"
  },
  "CAP_4df4315e": {
   "en": "Gaussian Gradient Noise Injection",
   "zh": "梯度高斯噪声注入",
   "level": "l3"
  },
  "CAP_4a82227f": {
   "en": "DP-SGD Optimizer Step",
   "zh": "DP-SGD 优化器下降",
   "level": "l3"
  },
  "CAP_8b38019f": {
   "en": "DP-SGD Sample-Step Privacy Accounting",
   "zh": "DP-SGD 样本步隐私记账",
   "level": "l3"
  },
  "CAP_de578f85": {
   "en": "Privacy Budget Validation",
   "zh": "隐私预算验证",
   "level": "l3"
  },
  "CAP_ae21e4e5": {
   "en": "DP-FedAvg Federated Training Pipeline",
   "zh": "DP 联邦聚合训练流水线",
   "level": "l2"
  },
  "CAP_7c5a09a6": {
   "en": "FedAvg Client Selection Configuration",
   "zh": "FedAvg 客户端选取配置",
   "level": "l3"
  },
  "CAP_01d63f9d": {
   "en": "Client Local Multi-Pass Training",
   "zh": "客户端本地多步训练",
   "level": "l3"
  },
  "CAP_c751e543": {
   "en": "Per-User Update Clipping",
   "zh": "用户级更新裁剪",
   "level": "l3"
  },
  "CAP_f4dee098": {
   "en": "Noisy Weighted Aggregation",
   "zh": "加噪加权聚合",
   "level": "l3"
  },
  "CAP_5354d9ec": {
   "en": "DP-FedAvg Client-Round Privacy Accounting",
   "zh": "DP-FedAvg 客户端轮次隐私记账",
   "level": "l3"
  },
  "CAP_bc2a9e64": {
   "en": "User-Level DP Budget Validation",
   "zh": "用户级 DP 预算验证",
   "level": "l3"
  },
  "CAP_5180a28a": {
   "en": "DP Statistical Query Release Pipeline",
   "zh": "DP 统计查询发布流水线",
   "level": "l2"
  },
  "CAP_8a9243ee": {
   "en": "Per-User Contribution Bounding",
   "zh": "用户贡献上限",
   "level": "l3"
  },
  "CAP_3bb1d444": {
   "en": "Partition Selection via Thresholding",
   "zh": "分区阈值化选择",
   "level": "l3"
  },
  "CAP_81776aee": {
   "en": "DP Query Budget Accounting",
   "zh": "DP 查询预算记账",
   "level": "l3"
  },
  "CAP_9470470a": {
   "en": "DP Statistics Release",
   "zh": "DP 统计量发布",
   "level": "l3"
  },
  "CAP_d3dd71e9": {
   "en": "Local DP Data Collection Pipeline",
   "zh": "本地差分隐私数据采集流水线",
   "level": "l2"
  },
  "CAP_653b081e": {
   "en": "LDP Mechanism Selection",
   "zh": "LDP 机制选择",
   "level": "l3"
  },
  "CAP_61d28995": {
   "en": "Local Randomization Configuration",
   "zh": "本地随机化配置",
   "level": "l3"
  },
  "CAP_bdf0d97a": {
   "en": "Permanent Randomized Response Encoding",
   "zh": "永久随机响应编码",
   "level": "l3"
  },
  "CAP_c6a22445": {
   "en": "Instantaneous Randomized Response and Upload",
   "zh": "瞬时随机响应与上报",
   "level": "l3"
  },
  "CAP_37b339f4": {
   "en": "Longitudinal Privacy Verification",
   "zh": "纵向隐私验证",
   "level": "l3"
  },
  "CAP_ccdaa82e": {
   "en": "PIUAS Diffusion Policy",
   "zh": "PIUAS扩散策略",
   "level": "l2"
  },
  "CAP_235ab4f9": {
   "en": "Pretrained Policy Fine-tuning Adaptation",
   "zh": "预训练策略微调适配",
   "level": "l3"
  },
  "CAP_497d78cb": {
   "en": "Multi-modal Input Tokenization for DiT",
   "zh": "DiT多模态输入编码",
   "level": "l3"
  },
  "CAP_61cf435a": {
   "en": "Latent Space Diffusion Policy Training",
   "zh": "潜空间扩散策略训练",
   "level": "l3"
  },
  "CAP_85b17354": {
   "en": "Action VAE Pretraining and Latent Decoding",
   "zh": "动作VAE预训练与潜空间解码",
   "level": "l3"
  },
  "CAP_cb4ed8ee": {
   "en": "Diffusion Forcing KV-cache Sampling",
   "zh": "Diffusion Forcing KV-cache去噪采样",
   "level": "l3"
  },
  "CAP_e837f1e1": {
   "en": "Staggered Noise Level Assignment and Causal Denoising",
   "zh": "错位噪声分配与因果去噪",
   "level": "l3"
  },
  "CAP_f1b8d749": {
   "en": "Grid-Map Dijkstra Navigation Function Planning",
   "zh": "栅格地图 Dijkstra 势场全局规划",
   "level": "l2"
  },
  "CAP_9ee5751b": {
   "en": "Costmap Grid Cost Array Setup",
   "zh": "代价地图栅格代价数组初始化",
   "level": "l3"
  },
  "CAP_917bca9c": {
   "en": "Dijkstra Potential Field Expansion",
   "zh": "Dijkstra 势场扩展",
   "level": "l3"
  },
  "CAP_35097925": {
   "en": "Weighted Graph Construction for Dijkstra",
   "zh": "Dijkstra 加权图构建",
   "level": "l3"
  },
  "CAP_19c4b021": {
   "en": "Bidirectional Dijkstra Large-Scale Routing",
   "zh": "双向 Dijkstra 大规模路网路由",
   "level": "l2"
  },
  "CAP_6f02ec65": {
   "en": "Contraction Hierarchies Preprocessing",
   "zh": "层级收缩图预处理",
   "level": "l3"
  },
  "CAP_66897827": {
   "en": "Bidirectional Dijkstra Frontier Search",
   "zh": "双向 Dijkstra 前驱搜索",
   "level": "l3"
  },
  "CAP_2438c023": {
   "en": "Meeting Point Path Concatenation",
   "zh": "相遇点路径拼接",
   "level": "l3"
  },
  "CAP_3a0a335e": {
   "en": "OccupancyGridToCostmapConversion",
   "zh": "占据栅格地图转代价地图",
   "level": "l3"
  },
  "CAP_7f645795": {
   "en": "CMM Contact Probe Dimensional Metrology",
   "zh": "CMM接触式坐标计量",
   "level": "l2"
  },
  "CAP_e90223e7": {
   "en": "2D Machine Vision Dimensional Gauging",
   "zh": "2D机器视觉尺寸测量",
   "level": "l2"
  },
  "CAP_ac2223d4": {
   "en": "3D Optical Scanning Dimensional Inspection",
   "zh": "3D光学扫描尺寸检测",
   "level": "l2"
  },
  "CAP_3316ea98": {
   "en": "Probe Tip Calibration",
   "zh": "测头校准",
   "level": "l3"
  },
  "CAP_c8424df1": {
   "en": "Datum Reference Alignment",
   "zh": "基准建立",
   "level": "l3"
  },
  "CAP_b2b6d5ef": {
   "en": "Contact Point Sampling",
   "zh": "接触式采点",
   "level": "l3"
  },
  "CAP_8e168748": {
   "en": "Geometric Element Fitting (Least-Squares)",
   "zh": "几何要素最小二乘拟合",
   "level": "l3"
  },
  "CAP_5b503991": {
   "en": "Contact GD&T Evaluation",
   "zh": "接触式GD&T评估",
   "level": "l3"
  },
  "CAP_25d40d83": {
   "en": "Camera Intrinsic Calibration",
   "zh": "相机内参标定",
   "level": "l3"
  },
  "CAP_cb6d9209": {
   "en": "Pixel-to-Metric Calibration",
   "zh": "像素-物理尺寸标定",
   "level": "l3"
  },
  "CAP_94fd356e": {
   "en": "2D Dimension Computation",
   "zh": "2D几何量计算",
   "level": "l3"
  },
  "CAP_55c3cdf3": {
   "en": "2D GD&T Evaluation",
   "zh": "2D GD&T评估",
   "level": "l3"
  },
  "CAP_909982c8": {
   "en": "Structured Light 3D Acquisition",
   "zh": "结构光3D采集",
   "level": "l3"
  },
  "CAP_710e4f4f": {
   "en": "3D Scan GD&T Evaluation",
   "zh": "3D扫描GD&T评估",
   "level": "l3"
  },
  "CAP_1e900c9b": {
   "en": "Projector Camera Calibration",
   "zh": "投影仪相机标定",
   "level": "l3"
  },
  "CAP_75d56d76": {
   "en": "Cloud-to-Cloud Distance Computation",
   "zh": "点云间距离计算",
   "level": "l3"
  },
  "CAP_27314582": {
   "en": "Piecewise Polynomial Collocation Transcription",
   "zh": "分段多项式配点转写",
   "level": "l2"
  },
  "CAP_b9d08062": {
   "en": "Symbolic Dynamics Construction",
   "zh": "符号动力学系统构造",
   "level": "l3"
  },
  "CAP_f490bd08": {
   "en": "Piecewise Collocation Cost Binding",
   "zh": "分段配点代价绑定",
   "level": "l3"
  },
  "CAP_4b8ddbe6": {
   "en": "NLP Initial Guess Construction",
   "zh": "NLP 初始猜测构造",
   "level": "l3"
  },
  "CAP_026b5d64": {
   "en": "NLP Solve and Trajectory Reconstruction",
   "zh": "NLP 求解与轨迹重构",
   "level": "l2"
  },
  "CAP_4e893ed8": {
   "en": "Collocation Trajectory Reconstruction",
   "zh": "配点轨迹重构",
   "level": "l3"
  },
  "CAP_50c2ecff": {
   "en": "Pseudospectral Collocation Transcription",
   "zh": "伪谱配点转写",
   "level": "l2"
  },
  "CAP_1f1b6f7d": {
   "en": "Multi-Phase Bolza OCP Modeling",
   "zh": "多阶段 Bolza OCP 建模",
   "level": "l3"
  },
  "CAP_167a80fe": {
   "en": "Orthogonal Collocation Scheme Selection",
   "zh": "正交配点格式选取",
   "level": "l3"
  },
  "CAP_720559cd": {
   "en": "Pseudospectral Defect Assembly",
   "zh": "伪谱配点缺陷约束装配",
   "level": "l3"
  },
  "CAP_d79d60a4": {
   "en": "Pseudospectral Cost Binding",
   "zh": "伪谱代价绑定",
   "level": "l3"
  },
  "CAP_c0790de1": {
   "en": "NLP Solve and Solution Post-Processing",
   "zh": "NLP 求解与解后处理",
   "level": "l2"
  },
  "CAP_af9e7b2a": {
   "en": "HP Adaptive Mesh Refinement",
   "zh": "hp 自适应网格细化",
   "level": "l3"
  },
  "CAP_ca3f75b7": {
   "en": "Pseudospectral Solution Post-Processing",
   "zh": "伪谱解后处理与插值重构",
   "level": "l3"
  },
  "CAP_ae98809b": {
   "en": "DPO Direct Preference Pipeline",
   "zh": "DPO 直接偏好优化流水线",
   "level": "l2"
  },
  "CAP_2f11d0fd": {
   "en": "DPO Loss Optimization",
   "zh": "DPO 闭式损失优化",
   "level": "l3"
  },
  "CAP_881323ae": {
   "en": "Preference Policy Deployment",
   "zh": "偏好策略部署",
   "level": "l3"
  },
  "CAP_3a474c83": {
   "en": "Preference-Aligned SFT Initialization",
   "zh": "偏好对齐监督微调初始化",
   "level": "l3"
  },
  "CAP_49ae14d7": {
   "en": "Reference Model Logprob Caching",
   "zh": "参考模型对数似然预计算",
   "level": "l3"
  },
  "CAP_99dc7ff6": {
   "en": "IPO Regularized Loss Optimization",
   "zh": "IPO 正则化偏好损失优化",
   "level": "l3"
  },
  "CAP_89cfbc61": {
   "en": "Conservative DPO Noisy Label Optimization",
   "zh": "保守 DPO 噪声偏好优化",
   "level": "l3"
  },
  "CAP_09ae6e99": {
   "en": "Reference-Free Preference Optimization Pipeline",
   "zh": "无参考模型偏好优化流水线",
   "level": "l2"
  },
  "CAP_af562875": {
   "en": "SimPO Reference-Free Length-Normalized Loss",
   "zh": "SimPO 无参考长度归一化偏好损失",
   "level": "l3"
  },
  "CAP_dfec1d91": {
   "en": "ORPO Monolithic Odds Ratio Loss",
   "zh": "ORPO 单阶段 odds ratio 偏好损失",
   "level": "l3"
  },
  "CAP_d47f67f3": {
   "en": "Unpaired Prospect-Theoretic Preference Pipeline",
   "zh": "非成对前景理论偏好优化流水线",
   "level": "l2"
  },
  "CAP_cc9acd9f": {
   "en": "KTO Prospect-Theoretic Loss Optimization",
   "zh": "KTO 前景理论偏好损失优化",
   "level": "l3"
  },
  "CAP_86d668a6": {
   "en": "Unpaired Binary Feedback Data Handling",
   "zh": "非成对二元反馈数据处理",
   "level": "l3"
  },
  "CAP_63f8b725": {
   "en": "Online Iterative Preference Optimization Pipeline",
   "zh": "在线迭代偏好优化流水线",
   "level": "l2"
  },
  "CAP_94a850df": {
   "en": "On-Policy Candidate Generation",
   "zh": "On-Policy 候选响应生成",
   "level": "l3"
  },
  "CAP_fa328907": {
   "en": "LLM-as-Judge Preference Annotation",
   "zh": "LLM 评审偏好标注",
   "level": "l3"
  },
  "CAP_64a67ff0": {
   "en": "NLP Single Shooting Transcription",
   "zh": "NLP 单步打靶转录",
   "level": "l2"
  },
  "CAP_72aacb7b": {
   "en": "Direct Single Shooting Transcription",
   "zh": "直接单步打靶转写",
   "level": "l3"
  },
  "CAP_1c63be4d": {
   "en": "Dynamics Integration and Sensitivity",
   "zh": "动力学积分与灵敏度",
   "level": "l3"
  },
  "CAP_9f501297": {
   "en": "NLP Solve and Trajectory Export",
   "zh": "NLP 求解与轨迹导出",
   "level": "l2"
  },
  "CAP_52fa5135": {
   "en": "DDP/iLQR Backward-Forward Shooting Solve",
   "zh": "DDP/iLQR 后向-前向通道打靶求解",
   "level": "l3"
  },
  "CAP_f4eee906": {
   "en": "DDP Constrained Solve and Export",
   "zh": "DDP 约束求解与导出",
   "level": "l2"
  },
  "CAP_0ae7cf81": {
   "en": "DDP Constraint Handling Variant",
   "zh": "DDP 约束处理变体",
   "level": "l3"
  },
  "CAP_1f96836e": {
   "en": "DDP Feedback Gain Extraction",
   "zh": "DDP 反馈增益提取",
   "level": "l3"
  },
  "CAP_0ae3947e": {
   "en": "Direct Photometric VO Pipeline",
   "zh": "直接光度视觉里程计流水线",
   "level": "l2"
  },
  "CAP_12f864f2": {
   "en": "Stereo Baseline Photometric Bundle Adjustment",
   "zh": "立体基线光度束调整",
   "level": "l3"
  },
  "CAP_13eb5590": {
   "en": "Uniform Pixel Sampling Activation",
   "zh": "均匀像素采样激活",
   "level": "l3"
  },
  "CAP_18983468": {
   "en": "Pose Graph BA IMU Initialization",
   "zh": "位姿图BA多级IMU初始化",
   "level": "l3"
  },
  "CAP_24fc51ce": {
   "en": "Multilevel Patch Feature Construction",
   "zh": "多层图像块特征构建",
   "level": "l3"
  },
  "CAP_30bba5f9": {
   "en": "Iterated EKF Update Outlier Rejection",
   "zh": "IEKF迭代更新与外点剔除",
   "level": "l3"
  },
  "CAP_3dbf1bc8": {
   "en": "Pixel Selection Strategy",
   "zh": "像素选择策略",
   "level": "l3"
  },
  "CAP_435cbd1f": {
   "en": "Direct Stereo Image Alignment",
   "zh": "双目直接图像对齐",
   "level": "l3"
  },
  "CAP_44c65291": {
   "en": "Sliding Window Photometric Joint Optimization",
   "zh": "滑动窗口光度联合优化",
   "level": "l3"
  },
  "CAP_52e3534e": {
   "en": "Inverse Compositional Sparse Image Alignment",
   "zh": "逆合成稀疏图像对齐",
   "level": "l3"
  },
  "CAP_59c388d7": {
   "en": "Photometric Calibration",
   "zh": "光度标定与图像校正",
   "level": "l3"
  },
  "CAP_624892df": {
   "en": "g2o SE3 Pose Graph Loop Closure",
   "zh": "g2o SE3位姿图回环",
   "level": "l3"
  },
  "CAP_6941a182": {
   "en": "Direct Photometric SLAM Tracking Pipeline",
   "zh": "直接光度法SLAM跟踪流水线",
   "level": "l2"
  },
  "CAP_7420bade": {
   "en": "Direct Sparse Window VIO Pipeline",
   "zh": "直接稀疏滑窗VIO流水线",
   "level": "l2"
  },
  "CAP_7bde18fe": {
   "en": "Trajectory Output (Visual-Inertial Odometry)",
   "zh": "VIO轨迹输出",
   "level": "l3"
  },
  "CAP_541b6dc4": {
   "en": "Affine Photometric Estimation",
   "zh": "仿射光度估计",
   "level": "l3"
  },
  "CAP_2a289de0": {
   "en": "Dense RGB-D Photometric Depth Residual Alignment",
   "zh": "稠密RGB-D光度-深度组合残差对齐",
   "level": "l3"
  },
  "CAP_50104e12": {
   "en": "Entropy-Based Keyframe Selection",
   "zh": "基于熵的关键帧选取",
   "level": "l3"
  },
  "CAP_7b2b7b1e": {
   "en": "Entropy-Based Loop Closure Validation",
   "zh": "基于熵的回环检测验证",
   "level": "l3"
  },
  "CAP_8cf253c4": {
   "en": "Probabilistic Depth Filter (SVO)",
   "zh": "概率深度滤波器(SVO)",
   "level": "l3"
  },
  "CAP_3cc2350f": {
   "en": "Robocentric Manifold State Formulation",
   "zh": "Robocentric流形状态构造",
   "level": "l3"
  },
  "CAP_2b044bda": {
   "en": "Semi-Direct Pose Structure Refinement",
   "zh": "半直接VO位姿与结构精化",
   "level": "l3"
  },
  "CAP_499905f9": {
   "en": "Sim3 Pose Graph Optimization",
   "zh": "Sim(3)位姿图优化",
   "level": "l3"
  },
  "CAP_bd8457d4": {
   "en": "Small Baseline Stereo Depth Filter",
   "zh": "小基线立体深度滤波器",
   "level": "l3"
  },
  "CAP_75c56395": {
   "en": "T-Distribution Robust Weighted IRLS",
   "zh": "t分布鲁棒加权IRLS",
   "level": "l3"
  },
  "CAP_a5c3ec3f": {
   "en": "Trajectory Output (Direct Photometric VO)",
   "zh": "直接法VO轨迹输出",
   "level": "l3"
  },
  "CAP_ab1a9e1f": {
   "en": "Dense Depth Map Initialization",
   "zh": "稠密深度图初始化",
   "level": "l3"
  },
  "CAP_bb0bbf2f": {
   "en": "Direct VO Keyframe and Pattern Management",
   "zh": "直接法VO关键帧与逆深度模式管理",
   "level": "l3"
  },
  "CAP_cc5313dd": {
   "en": "DSO Coarse Initialization",
   "zh": "DSO粗初始化",
   "level": "l3"
  },
  "CAP_cf66536a": {
   "en": "Coarse to Fine Pyramid Tracking",
   "zh": "粗到精稠密金字塔跟踪",
   "level": "l3"
  },
  "CAP_d3e145b8": {
   "en": "Online Spatiotemporal Calibration",
   "zh": "在线时空标定",
   "level": "l3"
  },
  "CAP_d7c9714f": {
   "en": "Direct Feature Alignment",
   "zh": "直接特征对齐",
   "level": "l3"
  },
  "CAP_fd9c09fc": {
   "en": "Frame-to-Map Photometric Error Minimization",
   "zh": "帧到地图光度误差最小化",
   "level": "l3"
  },
  "CAP_ae24c4d1": {
   "en": "Schur Complement Marginalization",
   "zh": "Schur补边缘化",
   "level": "l3"
  },
  "CAP_d1e9a109": {
   "en": "Depth Map Regularization",
   "zh": "深度图正则化",
   "level": "l3"
  },
  "CAP_9b18c537": {
   "en": "Direct Semidense SLAM Pipeline",
   "zh": "半稠密直接法SLAM流水线",
   "level": "l2"
  },
  "CAP_ec89c558": {
   "en": "Sim3 Scale Drift Tracking",
   "zh": "Sim3尺度漂移跟踪",
   "level": "l3"
  },
  "CAP_afb5c2d8": {
   "en": "Variance Normalized Direct Tracking",
   "zh": "方差归一化直接跟踪",
   "level": "l3"
  },
  "CAP_355bdced": {
   "en": "Pose Structure Refinement BA",
   "zh": "位姿结构重投影束调整",
   "level": "l3"
  },
  "CAP_3141811d": {
   "en": "Probabilistic Depth Filter",
   "zh": "概率深度滤波",
   "level": "l3"
  },
  "CAP_17437ce6": {
   "en": "Delayed Marginalization Maintenance",
   "zh": "延迟边缘化维护",
   "level": "l3"
  },
  "CAP_1de048fe": {
   "en": "IMU Preintegration Factor",
   "zh": "IMU预积分残差因子",
   "level": "l3"
  },
  "CAP_40f7854c": {
   "en": "Dynamic Photometric Weighting BA",
   "zh": "动态光度权重与在线优化",
   "level": "l3"
  },
  "CAP_82a79b1f": {
   "en": "Implicit Continuous C-Space On-Demand Collision Query",
   "zh": "隐式连续C-空间按需碰撞查询",
   "level": "l2"
  },
  "CAP_1ca7dcc7": {
   "en": "Task Trajectory Feasibility Check",
   "zh": "任务轨迹可行性检查",
   "level": "l3"
  },
  "CAP_76ce4ca8": {
   "en": "MoveIt PlanningScene Collision Cost Extraction",
   "zh": "MoveIt PlanningScene碰撞代价提取",
   "level": "l3"
  },
  "CAP_b1c37479": {
   "en": "GPU Motion Gen Setup",
   "zh": "GPU运动生成配置",
   "level": "l2"
  },
  "CAP_e8ea4f57": {
   "en": "FCL Continuous Collision Detection for Motion Segment",
   "zh": "FCL运动段连续碰撞检测",
   "level": "l3"
  },
  "CAP_d3095d89": {
   "en": "GPU-Accelerated Block Hash Integration",
   "zh": "GPU加速块哈希融合",
   "level": "l3"
  },
  "CAP_a1b209c3": {
   "en": "cuRobo Robot Collision Config",
   "zh": "cuRobo机器人碰撞配置",
   "level": "l3"
  },
  "CAP_f629357f": {
   "en": "Task-Motion IK Reachability Scoring",
   "zh": "任务运动IK可达性评分",
   "level": "l3"
  },
  "CAP_4d8e918b": {
   "en": "IK Feasibility Status Feedback",
   "zh": "IK可行性状态反馈",
   "level": "l3"
  },
  "CAP_09d8bf8a": {
   "en": "IK Reachability Index Computation",
   "zh": "IK可达性指标与误差投影计算",
   "level": "l3"
  },
  "CAP_bb809326": {
   "en": "QP Differential IK Assembly and Solving",
   "zh": "QP差分IK组装与求解",
   "level": "l3"
  },
  "CAP_bd26ea96": {
   "en": "Geometric Feasibility Verified Execution",
   "zh": "几何可行性验证执行",
   "level": "l3"
  },
  "CAP_289e291d": {
   "en": "IK-based Cartesian Sampling",
   "zh": "基于IK的笛卡尔采样",
   "level": "l3"
  },
  "CAP_937b1958": {
   "en": "Spatial Question Answering",
   "zh": "空间问答",
   "level": "l2"
  },
  "CAP_ec024328": {
   "en": "Geometrically-Constrained VLM Computation",
   "zh": "几何约束VLM计算",
   "level": "l3"
  },
  "CAP_d7690b1a": {
   "en": "Depth Plugin for VLM",
   "zh": "VLM深度插件",
   "level": "l3"
  },
  "CAP_655b05ef": {
   "en": "Spatial VQA Data Synthesis",
   "zh": "空间VQA数据合成",
   "level": "l3"
  },
  "CAP_a7790cdb": {
   "en": "Spatial Geometry Encoding",
   "zh": "空间几何编码",
   "level": "l3"
  },
  "CAP_cdcf0f5a": {
   "en": "VLM Robot Spatial Reward Signal",
   "zh": "VLM机器人空间奖励信号",
   "level": "l3"
  },
  "CAP_54da44e4": {
   "en": "Chain-of-Thought Spatial Reasoning",
   "zh": "链式思维空间推理",
   "level": "l3"
  },
  "CAP_d9b302b8": {
   "en": "Scale-Aware Decoding",
   "zh": "尺度感知解码",
   "level": "l3"
  },
  "CAP_af11ed00": {
   "en": "QSR Spatial Reasoning Chain",
   "zh": "QSR空间推理链",
   "level": "l3"
  },
  "CAP_9bae1767": {
   "en": "RCC-8 Topological Reasoning",
   "zh": "RCC-8拓扑关系推理",
   "level": "l3"
  },
  "CAP_e41b8109": {
   "en": "QSR Constraint Satisfaction",
   "zh": "QSR约束满足求解",
   "level": "l3"
  },
  "CAP_6a5eaf93": {
   "en": "Ontology Reasoning Inference",
   "zh": "本体推理推断",
   "level": "l2"
  },
  "CAP_fd19a1ef": {
   "en": "Raft Leader-Based Replicated Log Consensus",
   "zh": "Raft 主从复制日志共识",
   "level": "l2"
  },
  "CAP_ef241723": {
   "en": "Raft Leader Election with Term and Random Timeout",
   "zh": "Raft 任期与随机超时选举",
   "level": "l3"
  },
  "CAP_0f3c22a5": {
   "en": "Raft Log Replication via AppendEntries",
   "zh": "Raft AppendEntries 日志复制",
   "level": "l3"
  },
  "CAP_62ff29e1": {
   "en": "Raft Safety Properties",
   "zh": "Raft 安全性保证",
   "level": "l3"
  },
  "CAP_cbaf5176": {
   "en": "ZAB Atomic Broadcast",
   "zh": "ZAB 原子广播",
   "level": "l3"
  },
  "CAP_993f3250": {
   "en": "Threshold Encryption for Censorship Resistance",
   "zh": "门限加密抗审查",
   "level": "l3"
  },
  "CAP_7e6ea63e": {
   "en": "Local Kalman Filter Update",
   "zh": "本地卡尔曼滤波更新",
   "level": "l3"
  },
  "CAP_e40972c3": {
   "en": "DcopProblemModeling",
   "zh": "分布式约束优化问题建模",
   "level": "l2"
  },
  "CAP_e95b4c6c": {
   "en": "DcopMessagePassing",
   "zh": "DCOP 分布式消息传递求解",
   "level": "l3"
  },
  "CAP_af180ac0": {
   "en": "FactorGraphComputationConstruction",
   "zh": "因子图计算图构造",
   "level": "l3"
  },
  "CAP_5645ca65": {
   "en": "DpopDynamicProgramming",
   "zh": "DPOP 动态规划优化协议",
   "level": "l3"
  },
  "CAP_3228ca88": {
   "en": "DsaMgmLocalSearch",
   "zh": "DSA 与 MGM 局部搜索",
   "level": "l3"
  },
  "CAP_7802cd47": {
   "en": "DistributedDcopAgentDeployment",
   "zh": "分布式 DCOP Agent 部署",
   "level": "l3"
  },
  "CAP_c80f62b5": {
   "en": "DcopSolutionEvaluation",
   "zh": "DCOP 解评估与收敛判定",
   "level": "l3"
  },
  "CAP_dd4214f3": {
   "en": "ConsensusADMMIteration",
   "zh": "C-ADMM 分布式迭代求解",
   "level": "l2"
  },
  "CAP_23e4acb1": {
   "en": "AdmmParameterConfiguration",
   "zh": "ADMM 参数配置",
   "level": "l3"
  },
  "CAP_9dfa7e1d": {
   "en": "Local Convex Subproblem Solving",
   "zh": "局部凸子问题求解",
   "level": "l3"
  },
  "CAP_8b9a1829": {
   "en": "Neighbor Consensus & Dual Variable Update",
   "zh": "邻居共识变量与对偶变量更新",
   "level": "l3"
  },
  "CAP_4ecc0b0f": {
   "en": "Distributed Off-Policy Experience Collection",
   "zh": "分布式离策略经验采集",
   "level": "l2"
  },
  "CAP_1221e449": {
   "en": "Data Collection and Environment Interaction",
   "zh": "数据采集与环境交互",
   "level": "l3"
  },
  "CAP_0241647a": {
   "en": "Transition Priority Computation",
   "zh": "转移优先级计算",
   "level": "l3"
  },
  "CAP_f03c47d5": {
   "en": "Shared Off-Policy Experience Buffer",
   "zh": "共享离策略经验缓冲",
   "level": "l3"
  },
  "CAP_72b16c63": {
   "en": "Replay Table Sharding and Rate Limiting",
   "zh": "回放表分片与速率限制",
   "level": "l3"
  },
  "CAP_db5a50cb": {
   "en": "Prioritized Replay Learning",
   "zh": "优先回放学习",
   "level": "l2"
  },
  "CAP_9be5760a": {
   "en": "Prioritized Minibatch Sampling",
   "zh": "优先小批量采样",
   "level": "l3"
  },
  "CAP_94311fdb": {
   "en": "Off-policy N-step TD Update",
   "zh": "离策略 n-step TD 更新",
   "level": "l3"
  },
  "CAP_a048d8f9": {
   "en": "On-Policy Trajectory Fragment Batched Assembly",
   "zh": "在策略轨迹片段批量拼接",
   "level": "l3"
  },
  "CAP_4c6c97e2": {
   "en": "GPU Rollout Tensor Concatenation",
   "zh": "GPU rollout 张量拼接",
   "level": "l3"
  },
  "CAP_6bbc8074": {
   "en": "GPU Advantage Estimation",
   "zh": "GPU 优势估计",
   "level": "l2"
  },
  "CAP_1f7d1376": {
   "en": "GPU Minibatch Partitioning",
   "zh": "GPU 小批量切分",
   "level": "l3"
  },
  "CAP_f0dfdc77": {
   "en": "GPU PPO Multi-Epoch Update",
   "zh": "GPU PPO 多轮更新",
   "level": "l2"
  },
  "CAP_d1a5b3c7": {
   "en": "ROS2 Middleware Tracepoint Injection",
   "zh": "ROS2 中间件层 Tracepoint 注入",
   "level": "l3"
  },
  "CAP_03159acf": {
   "en": "Trace Session Collection and Control",
   "zh": "Trace 会话采集与控制",
   "level": "l3"
  },
  "CAP_f3c7d5e9": {
   "en": "CTF Trace Loading and Structured Processing",
   "zh": "CTF Trace 加载与结构化处理",
   "level": "l3"
  },
  "CAP_a274bf32": {
   "en": "Message Flow Causal Chain Reconstruction",
   "zh": "消息流因果链重建",
   "level": "l3"
  },
  "CAP_b5e9f7a2": {
   "en": "End-to-End Latency Decomposition and Bottleneck",
   "zh": "端到端时延分解与瓶颈定位",
   "level": "l3"
  },
  "CAP_d7a1b9c4": {
   "en": "Tracing Backend Query and Visualization",
   "zh": "追踪后端查询与可视化",
   "level": "l3"
  },
  "CAP_2b3c4d5e": {
   "en": "Record Replay Reproduction Debugging",
   "zh": "记录回放重现调试",
   "level": "l2"
  },
  "CAP_23728529": {
   "en": "Cross-Node Topic Selective Recording",
   "zh": "跨节点话题选择性录制",
   "level": "l3"
  },
  "CAP_f9c3d1e6": {
   "en": "Bag Replay Timeline Control",
   "zh": "Bag 回放时间轴控制与故障重现",
   "level": "l3"
  },
  "CAP_a0d4e2f7": {
   "en": "Bag Slicing Merging and Repair",
   "zh": "Bag 切片合并与修复",
   "level": "l3"
  },
  "CAP_b1e5f3a8": {
   "en": "MCAP Data Visualization and Simulation Injection",
   "zh": "MCAP 数据可视化与仿真注入",
   "level": "l3"
  },
  "CAP_d3a7b5c0": {
   "en": "SBFL Suspiciousness Scoring and Fault Localization",
   "zh": "SBFL 可疑度计算与故障定位",
   "level": "l3"
  },
  "CAP_0bf05645": {
   "en": "Hierarchical Multi-Modal Failure Summary",
   "zh": "层次化多感知失败摘要",
   "level": "l3"
  },
  "CAP_d6d3db86": {
   "en": "CBBA Local Bidding and Bundle Construction",
   "zh": "CBBA 本地出价与捆绑构建",
   "level": "l2"
  },
  "CAP_69bc97e5": {
   "en": "CBBA Task-Agent Cost Matrix Setup",
   "zh": "CBBA 任务-机器人代价矩阵初始化",
   "level": "l3"
  },
  "CAP_16ddaf86": {
   "en": "CBBA Conflict Resolution via Bid Comparison",
   "zh": "CBBA 出价比较冲突消解",
   "level": "l3"
  },
  "CAP_00e6751f": {
   "en": "DCOP Distributed Solving",
   "zh": "DCOP 分布式求解",
   "level": "l2"
  },
  "CAP_356f2251": {
   "en": "DCOP Pseudo-tree Construction",
   "zh": "DCOP 伪树构建",
   "level": "l3"
  },
  "CAP_952178aa": {
   "en": "Max-Sum Factor Graph Setup",
   "zh": "Max-Sum 因子图构建",
   "level": "l3"
  },
  "CAP_1ecb6f88": {
   "en": "DPOP UTIL/VALUE Two-Phase Propagation",
   "zh": "DPOP UTIL/VALUE 双阶段传播",
   "level": "l3"
  },
  "CAP_720b679c": {
   "en": "ADOPT Asynchronous Threshold Update",
   "zh": "ADOPT 异步阈值更新",
   "level": "l3"
  },
  "CAP_8a53f9f1": {
   "en": "DCOP Convergence and Variable Assignment Dispatch",
   "zh": "DCOP 收敛检查与变量赋值派遣",
   "level": "l3"
  },
  "CAP_443fad86": {
   "en": "CTDE Benchmark Evaluation",
   "zh": "CTDE 基准评测",
   "level": "l3"
  },
  "CAP_2a1419fa": {
   "en": "Swarm Opinion Formation",
   "zh": "群体意见形成与邻居交换",
   "level": "l2"
  },
  "CAP_33a174c2": {
   "en": "Swarm Opinion Dynamics",
   "zh": "群体意见动力学与 quorum 感知",
   "level": "l2"
  },
  "CAP_5dff359a": {
   "en": "Swarm Consensus Convergence",
   "zh": "群体共识收敛与度量派遣",
   "level": "l2"
  },
  "CAP_3e31b3cf": {
   "en": "Quorum Collective Decision",
   "zh": "quorum 集体决策",
   "level": "l3"
  },
  "CAP_6c96cfbc": {
   "en": "Collective Behavior Metrics",
   "zh": "集体行为度量采集",
   "level": "l3"
  },
  "CAP_9d6ff23f": {
   "en": "Swarm Opinion Initialization and Quality Estimation",
   "zh": "群体意见初始化与质量估计",
   "level": "l3"
  },
  "CAP_212fd58e": {
   "en": "Anonymous Neighbor Opinion Exchange",
   "zh": "匿名邻居意见交换",
   "level": "l3"
  },
  "CAP_4741ce04": {
   "en": "Opinion Dynamics Switch and Inhibition Update",
   "zh": "意见动力学切换与抑制更新",
   "level": "l3"
  },
  "CAP_2545ca1e": {
   "en": "Quorum Cascade and Consensus Convergence",
   "zh": "quorum 级联与共识收敛",
   "level": "l3"
  },
  "CAP_24275b48": {
   "en": "Phi Accrual Failure Detection",
   "zh": "Phi累积故障检测",
   "level": "l3"
  },
  "CAP_a211c55f": {
   "en": "Ray Train Checkpoint-Restart Worker Recovery",
   "zh": "Ray Train检查点-重启工作器恢复",
   "level": "l3"
  },
  "CAP_082a28ab": {
   "en": "GCS External Redis Fault Tolerance",
   "zh": "GCS外接Redis故障容错",
   "level": "l3"
  },
  "CAP_35b55c0b": {
   "en": "Lifecycle Manager Bond Heartbeat & Respawn Supervision",
   "zh": "Lifecycle Manager Bond心跳与重生监督",
   "level": "l3"
  },
  "CAP_86f96a0f": {
   "en": "Motivation-Driven Role Claim",
   "zh": "动机驱动角色领取",
   "level": "l2"
  },
  "CAP_d9a41925": {
   "en": "Threshold Activation & Role Claim",
   "zh": "阈值激活与角色领取",
   "level": "l3"
  },
  "CAP_29f5335a": {
   "en": "Acquiescence & Role Release",
   "zh": "谦让与角色释放",
   "level": "l3"
  },
  "CAP_338c9d0e": {
   "en": "CBBA Role Hierarchy Redistribution",
   "zh": "CBBA角色层次重分布",
   "level": "l3"
  },
  "CAP_871ef6e3": {
   "en": "Linux OS Watchdog Stack Monitoring",
   "zh": "Linux OS看门狗栈监控",
   "level": "l2"
  },
  "CAP_5e453cf7": {
   "en": "Application Process Watchdog Supervision",
   "zh": "应用进程看门狗监督",
   "level": "l2"
  },
  "CAP_e380b7b5": {
   "en": "Watchdog Timeout Detection & Safe State Recovery",
   "zh": "看门狗超时检测与安全状态恢复",
   "level": "l2"
  },
  "CAP_b14e1fb5": {
   "en": "Controller Failure Propagation",
   "zh": "控制器失败传播",
   "level": "l3"
  },
  "CAP_89b4da1d": {
   "en": "State Machine Degradation Fault Tolerance",
   "zh": "状态机降级容错",
   "level": "l2"
  },
  "CAP_20ea1d7a": {
   "en": "Checkpoint & Fault Tolerance Recovery",
   "zh": "检查点与容错恢复",
   "level": "l2"
  },
  "CAP_183329b2": {
   "en": "Checkpoint Cloud Storage",
   "zh": "检查点云存储",
   "level": "l3"
  },
  "CAP_92cbe2e5": {
   "en": "Autoscaler Elastic Scaling",
   "zh": "Autoscaler弹性扩缩",
   "level": "l3"
  },
  "CAP_b02d5d5c": {
   "en": "Lifecycle State Persistence",
   "zh": "生命周期状态持久化",
   "level": "l3"
  },
  "CAP_51f58d44": {
   "en": "RecoveryLimitReevaluation",
   "zh": "恢复限制与再评估",
   "level": "l3"
  },
  "CAP_58685c30": {
   "en": "Distributed Admittance Load Sharing",
   "zh": "分布式导纳载荷共享",
   "level": "l2"
  },
  "CAP_8abaf1bf": {
   "en": "Grasp-Matrix Centralized Wrench Distribution",
   "zh": "抓取矩阵集中式 wrench 分配",
   "level": "l2"
  },
  "CAP_b68f0ac7": {
   "en": "Event-Triggered Distributed Networked Impedance",
   "zh": "事件触发分布式网络化阻抗",
   "level": "l2"
  },
  "CAP_865bd2b6": {
   "en": "Internal/External Force Dual-Loop Regulation",
   "zh": "内外力双环路调节",
   "level": "l3"
  },
  "CAP_9fc5094d": {
   "en": "Per-Arm Contact Wrench Dispatch",
   "zh": "各臂接触 wrench 下发",
   "level": "l3"
  },
  "CAP_96d38043": {
   "en": "Cooperative/Relative Subspace Decomposition",
   "zh": "合作/相对子空间分解",
   "level": "l3"
  },
  "CAP_1304fbbd": {
   "en": "Distributed Impedance Control with Event-Updated Peer States",
   "zh": "基于事件更新同伴状态的分布式阻抗控制",
   "level": "l3"
  },
  "CAP_dad84891": {
   "en": "Dual-Loop Bandwidth Separation Stability Tuning",
   "zh": "双环路带宽分离稳定性整定",
   "level": "l3"
  },
  "CAP_c79e9781": {
   "en": "Event-Triggered Communication Condition Design",
   "zh": "事件触发通信条件设计",
   "level": "l3"
  },
  "CAP_90f16e5f": {
   "en": "Local Discrete Admittance Law Integration",
   "zh": "本地离散导纳律积分计算",
   "level": "l3"
  },
  "CAP_66923639": {
   "en": "Passivity-Based Network Imperfection Tolerance",
   "zh": "基于无源性的网络丢包/延迟容忍",
   "level": "l3"
  },
  "CAP_a566063b": {
   "en": "Object Impedance Outer Loop (Motion Tracking)",
   "zh": "物体阻抗外力环运动跟踪",
   "level": "l3"
  },
  "CAP_965346bc": {
   "en": "Multi-Contact QP Coefficient Assembly",
   "zh": "多接触 QP 系数组装",
   "level": "l3"
  },
  "CAP_ee3142cc": {
   "en": "Grasp Matrix Construction",
   "zh": "抓取矩阵构建",
   "level": "l3"
  },
  "CAP_2bc97e00": {
   "en": "Gradient Tracking Distributed Optimization",
   "zh": "梯度跟踪分布式优化",
   "level": "l2"
  },
  "CAP_97ebe391": {
   "en": "Distributed Convex Objective Decomposition",
   "zh": "分布式凸目标函数分解",
   "level": "l3"
  },
  "CAP_8420272d": {
   "en": "Local Full Gradient Computation",
   "zh": "本地全梯度计算",
   "level": "l3"
  },
  "CAP_46cf40a7": {
   "en": "Gradient Tracking Auxiliary Update",
   "zh": "梯度跟踪辅助变量更新",
   "level": "l3"
  },
  "CAP_3e569b79": {
   "en": "Consensus Gradient Coupled Update",
   "zh": "共识-梯度耦合更新",
   "level": "l3"
  },
  "CAP_f3b66ced": {
   "en": "Optimality Residual Monitoring",
   "zh": "最优性残差监控",
   "level": "l3"
  },
  "CAP_593ee886": {
   "en": "Directed Push-Sum Gradient Optimization",
   "zh": "有向图Push-Sum梯度优化",
   "level": "l2"
  },
  "CAP_0beb4653": {
   "en": "Ratio Estimate Local Gradient",
   "zh": "比值估计与本地梯度计算",
   "level": "l3"
  },
  "CAP_8c23260e": {
   "en": "Directed Gradient Tracking Update",
   "zh": "有向梯度跟踪与决策变量更新",
   "level": "l3"
  },
  "CAP_ae45e45b": {
   "en": "Directed Optimality Residual Monitoring",
   "zh": "有向图最优性残差监控",
   "level": "l3"
  },
  "CAP_72f5238f": {
   "en": "Directed Solution Extraction",
   "zh": "有向图最优解提取",
   "level": "l3"
  },
  "CAP_6005b5fa": {
   "en": "Local Minibatch Stochastic Gradient",
   "zh": "本地小批量随机梯度计算",
   "level": "l3"
  },
  "CAP_8ce723e3": {
   "en": "Decentralized Model Mixing Aggregation",
   "zh": "去中心化模型混合聚合",
   "level": "l3"
  },
  "CAP_6dbb138f": {
   "en": "Gradient Variance Reduction Update",
   "zh": "梯度方差削减与参数更新",
   "level": "l3"
  },
  "CAP_48d14091": {
   "en": "Data Heterogeneity Gradient Variance Monitoring",
   "zh": "数据异质性与梯度方差监控",
   "level": "l3"
  },
  "CAP_dbcc4aa5": {
   "en": "Distributed Model Evaluation",
   "zh": "分布式模型评估",
   "level": "l3"
  },
  "CAP_62339a20": {
   "en": "Distributed Feedback Optimization Control",
   "zh": "分布式反馈优化控制",
   "level": "l2"
  },
  "CAP_7ba4422a": {
   "en": "Aggregative Optimization Objective Modeling",
   "zh": "聚合优化目标建模",
   "level": "l3"
  },
  "CAP_b1fbe698": {
   "en": "Robot Steady-State Mapping",
   "zh": "机器人稳态映射与低层稳定",
   "level": "l3"
  },
  "CAP_c44639ab": {
   "en": "Aggregative Variable Distributed Tracking",
   "zh": "聚合变量分布式跟踪",
   "level": "l3"
  },
  "CAP_3511a1e4": {
   "en": "Gradient Flow Feedback Control",
   "zh": "梯度流反馈控制律生成",
   "level": "l3"
  },
  "CAP_37636a71": {
   "en": "ROS2 Modular Control Deployment",
   "zh": "ROS2模块化控制部署",
   "level": "l3"
  },
  "CAP_8a981bfc": {
   "en": "Cloud-Edge Grasp Planning Pipeline",
   "zh": "云端-边缘协同抓取规划流水线",
   "level": "l2"
  },
  "CAP_a3f3c123": {
   "en": "Edge Point Cloud Preprocessing",
   "zh": "边缘点云预处理",
   "level": "l3"
  },
  "CAP_f3a3c690": {
   "en": "AnyGrasp Grasp Pose Generation",
   "zh": "AnyGrasp抓取姿态生成",
   "level": "l3"
  },
  "CAP_ad36416e": {
   "en": "Edge Grasp Refinement and Execution",
   "zh": "边缘抓取精修与执行",
   "level": "l3"
  },
  "CAP_cd8ae21e": {
   "en": "Compute Offloading to Cloud",
   "zh": "计算卸载到云端",
   "level": "l3"
  },
  "CAP_ef61b3e0": {
   "en": "Decentralized Multi-Robot Grasp Coordination",
   "zh": "去中心化多机器人协同抓取",
   "level": "l2"
  },
  "CAP_df4e39ba": {
   "en": "Decentralized Task Allocation",
   "zh": "去中心化任务分配",
   "level": "l3"
  },
  "CAP_1ed57a8b": {
   "en": "Cooperative Grasp Quality Estimation",
   "zh": "协同抓取质量估计",
   "level": "l3"
  },
  "CAP_a3b2bd836f": {
   "en": "Conflict Detection and Resolution",
   "zh": "冲突检测与消解",
   "level": "l3"
  },
  "CAP_3a679bf8": {
   "en": "Distributed Trajectory Optimization (ADMM)",
   "zh": "分布式轨迹优化 (ADMM)",
   "level": "l3"
  },
  "CAP_0b9ab18e": {
   "en": "Multi-View Distributed Grasp Perception",
   "zh": "多视角分布式抓取感知",
   "level": "l2"
  },
  "CAP_79780830": {
   "en": "Per-Camera Local Feature Extraction",
   "zh": "单相机局部特征提取",
   "level": "l3"
  },
  "CAP_770135f7": {
   "en": "Distributed TSDF Fusion",
   "zh": "分布式 TSDF 融合",
   "level": "l3"
  },
  "CAP_e1f19b3b": {
   "en": "Volumetric Grasp Prediction (VGN)",
   "zh": "体素抓取预测 (VGN)",
   "level": "l3"
  },
  "CAP_d0233058": {
   "en": "Multi-Camera Compute Orchestration",
   "zh": "多相机计算编排",
   "level": "l3"
  },
  "CAP_2a9d8df3": {
   "en": "Cross-View Data Association",
   "zh": "跨视角数据关联",
   "level": "l3"
  },
  "CAP_db56f050": {
   "en": "Local Pose Graph Coarsening",
   "zh": "本地位姿图抽稀",
   "level": "l3"
  },
  "CAP_f4ca4c4f": {
   "en": "Single-Robot Frontend Perception",
   "zh": "单机器人前端感知",
   "level": "l2"
  },
  "CAP_8cf28ae1": {
   "en": "Distributed Loop Closure Detection",
   "zh": "分布式回环检测",
   "level": "l2"
  },
  "CAP_c0589dc0": {
   "en": "Cross-Robot Place Recognition",
   "zh": "跨机器人位置识别",
   "level": "l3"
  },
  "CAP_5583661c": {
   "en": "Distributed Robust Backend Optimization",
   "zh": "分布式鲁棒后端优化",
   "level": "l2"
  },
  "CAP_62669272": {
   "en": "LiDAR Odometry Frontend",
   "zh": "LiDAR 里程计前端",
   "level": "l3"
  },
  "CAP_45b01cda": {
   "en": "Global Descriptor Extraction",
   "zh": "全局描述子提取",
   "level": "l3"
  },
  "CAP_39a883ac": {
   "en": "Candidate Filtering",
   "zh": "候选过滤",
   "level": "l3"
  },
  "CAP_cadd9b63": {
   "en": "Coarse Global Registration",
   "zh": "粗全局配准",
   "level": "l3"
  },
  "CAP_f5d45f9e": {
   "en": "ICP Refinement",
   "zh": "ICP 精配准",
   "level": "l3"
  },
  "CAP_f01660f9": {
   "en": "Loop Constraint Integration",
   "zh": "回环约束集成",
   "level": "l3"
  },
  "CAP_f3396fa9": {
   "en": "Cross-Robot Loop Closure and Robust PGO",
   "zh": "跨机器人分布式回环检测与鲁棒位姿图优化",
   "level": "l2"
  },
  "CAP_7746e15f": {
   "en": "Distributed PGO via Two-stage Gauss-Seidel",
   "zh": "两阶段高斯-赛德尔分布式位姿图优化",
   "level": "l3"
  },
  "CAP_b33190c0": {
   "en": "Information Form Sparse Fusion",
   "zh": "信息形式稀疏融合",
   "level": "l2"
  },
  "CAP_551761c3": {
   "en": "Distributed SAM via Marginal Exchange",
   "zh": "边缘信息交换分布式平滑建图",
   "level": "l3"
  },
  "CAP_44c65bf6": {
   "en": "Consensus ADMM CSLAM Back-end",
   "zh": "共识ADMM CSLAM后端",
   "level": "l3"
  },
  "CAP_646b4e50": {
   "en": "Distributed Dense Map Consensus",
   "zh": "分布式稠密地图一致性",
   "level": "l2"
  },
  "CAP_b3628988": {
   "en": "Occupancy Grid Log-Odds Fusion",
   "zh": "占据栅格 log-odds 融合",
   "level": "l3"
  },
  "CAP_97acf999": {
   "en": "Distributed Semantic Octree Consensus Optimization",
   "zh": "分布式语义八叉树共识优化",
   "level": "l3"
  },
  "CAP_f0953869": {
   "en": "Chernoff Fusion Feature Distribution Consensus",
   "zh": "Chernoff融合特征分布共识",
   "level": "l3"
  },
  "CAP_ff2d5c87": {
   "en": "Raw LiDAR Point Cloud Concatenation Fusion",
   "zh": "原始 LiDAR 点云拼接融合",
   "level": "l3"
  },
  "CAP_bb2a7e98": {
   "en": "Multi-Robot LiDAR Point Cloud Acquisition",
   "zh": "多机器人 LiDAR 点云采集",
   "level": "l3"
  },
  "CAP_98036cc6": {
   "en": "Implicit Detection Deduplication",
   "zh": "隐式检测去重",
   "level": "l3"
  },
  "CAP_a936cbec": {
   "en": "Heterogeneous ViT Cooperative Fusion",
   "zh": "异构 ViT 协同融合",
   "level": "l3"
  },
  "CAP_9f64a1bd": {
   "en": "Agent-Object Pose Graph Fusion",
   "zh": "Agent-Object 位姿图融合",
   "level": "l3"
  },
  "CAP_bcdc79a4": {
   "en": "Spatial Confidence Map Feature Compression",
   "zh": "空间置信图特征压缩",
   "level": "l3"
  },
  "CAP_6b1c219e": {
   "en": "Output-Level Cooperative Detection",
   "zh": "输出级协同检测",
   "level": "l2"
  },
  "CAP_2ae4007f": {
   "en": "Detection Box Spatial Transformation",
   "zh": "检测框空间变换",
   "level": "l3"
  },
  "CAP_5f5a1231": {
   "en": "Cross-Agent Detection Box Association",
   "zh": "跨智能体检测框关联",
   "level": "l3"
  },
  "CAP_486ef635": {
   "en": "Global NMS Deduplication",
   "zh": "全局 NMS 去重",
   "level": "l3"
  },
  "CAP_8ee6df10": {
   "en": "Pose Graph MLE Formulation",
   "zh": "位姿图最大似然估计建模",
   "level": "l3"
  },
  "CAP_b973d05d": {
   "en": "Burer-Monteiro Low-Rank Factorization",
   "zh": "Burer-Monteiro 低秩因子化",
   "level": "l3"
  },
  "CAP_0c5c2c5a": {
   "en": "Asynchronous Distributed PGO",
   "zh": "异步分布式位姿图优化",
   "level": "l3"
  },
  "CAP_1cb3ddca": {
   "en": "Distributed Solution Certification",
   "zh": "分布式解认证",
   "level": "l2"
  },
  "CAP_8826c760": {
   "en": "Distributed Optimality Verification",
   "zh": "分布式最优性验证",
   "level": "l3"
  },
  "CAP_6bb48ef1": {
   "en": "Saddle Point Escape",
   "zh": "鞍点逃逸",
   "level": "l3"
  },
  "CAP_0e1f09b5": {
   "en": "Distributed Initialization and Rounding",
   "zh": "分布式初始化与舍入",
   "level": "l3"
  },
  "CAP_01cf9ed3": {
   "en": "Jacobi Over-Relaxation PGO Solver",
   "zh": "Jacobi 过松弛位姿图优化求解器",
   "level": "l3"
  },
  "CAP_57e4bfa9": {
   "en": "Anytime Distributed Trajectory Estimation",
   "zh": "Anytime 分布式轨迹估计",
   "level": "l3"
  },
  "CAP_6a8402a4": {
   "en": "Robust Distributed PGO Formulation",
   "zh": "鲁棒分布式位姿图优化建模",
   "level": "l3"
  },
  "CAP_c40a7845": {
   "en": "MM Surrogate Function Construction",
   "zh": "代理上界函数构造",
   "level": "l3"
  },
  "CAP_2dc7c389": {
   "en": "Distributed MM Solver with Acceleration",
   "zh": "分布式代理最小化求解器（含加速）",
   "level": "l2"
  },
  "CAP_c8b941c2": {
   "en": "Distributed MM-PGO Solver",
   "zh": "分布式代理最小化位姿图优化求解器",
   "level": "l3"
  },
  "CAP_c4965f51": {
   "en": "Nesterov Accelerated MM with Master Node",
   "zh": "Nesterov 加速代理最小化（有主节点）",
   "level": "l3"
  },
  "CAP_d96ccd06": {
   "en": "Decentralized Adaptive Restart MM",
   "zh": "去中心化自适应重启代理最小化",
   "level": "l3"
  },
  "CAP_93707711": {
   "en": "Accelerated MM Chordal Initialization",
   "zh": "加速代理最小化 Chordal 初始化",
   "level": "l3"
  },
  "CAP_f8227e8e": {
   "en": "SAT Solving",
   "zh": "SAT求解",
   "level": "l2"
  },
  "CAP_7a3f1b2c": {
   "en": "Iterated Peer Critique Round",
   "zh": "迭代同伴批评轮次",
   "level": "l3"
  },
  "CAP_8b4e2c3d": {
   "en": "Adaptive Debate Termination",
   "zh": "自适应辩论终止",
   "level": "l3"
  },
  "CAP_9c5f3d4e": {
   "en": "Debate Consensus Aggregation",
   "zh": "辩论共识聚合",
   "level": "l3"
  },
  "CAP_ad6f4e5a": {
   "en": "Layered Agent Aggregation",
   "zh": "分层Agent聚合",
   "level": "l3"
  },
  "CAP_be7a5f6b": {
   "en": "Collaborative Response Refinement",
   "zh": "协作式回答精炼",
   "level": "l3"
  },
  "CAP_cf8b6a7c": {
   "en": "MoA Model Selection",
   "zh": "MoA模型选择",
   "level": "l3"
  },
  "CAP_d0a7b8c9": {
   "en": "Pipeline-Parallel Transformer Block Routing",
   "zh": "流水线并行Transformer块路由",
   "level": "l3"
  },
  "CAP_e1b8c9d0": {
   "en": "Tensor-Parallel Linear Layer Sharding",
   "zh": "张量并行线性层切分",
   "level": "l3"
  },
  "CAP_f2c9d0e1": {
   "en": "PagedAttention KV Cache Management",
   "zh": "PagedAttention KV缓存管理",
   "level": "l3"
  },
  "CAP_a3d0e1f2": {
   "en": "SAT Portfolio Parallelization",
   "zh": "SAT Portfolio并行化",
   "level": "l3"
  },
  "CAP_b4e1f2a3": {
   "en": "Distributed Clause Sharing",
   "zh": "分布式子句共享",
   "level": "l3"
  },
  "CAP_c5f2a3b4": {
   "en": "Distributed UNSAT Proof Composition",
   "zh": "分布式UNSAT证明组合",
   "level": "l3"
  },
  "CAP_144673f2": {
   "en": "DDP Parallel Sim RL Training",
   "zh": "同步 DDP 并行仿真强化学习训练",
   "level": "l2"
  },
  "CAP_13a0fa05": {
   "en": "DDP Process Launch",
   "zh": "分布式训练进程启动",
   "level": "l3"
  },
  "CAP_b3728151": {
   "en": "GPU Tensor Env Setup",
   "zh": "GPU 张量并行环境设置",
   "level": "l3"
  },
  "CAP_3f1ef057": {
   "en": "Gradient Recomputation",
   "zh": "梯度重计算与 FSDP 反向同步",
   "level": "l3"
  },
  "CAP_23b83482": {
   "en": "FSDP Model Sharding",
   "zh": "FSDP 模型分片",
   "level": "l3"
  },
  "CAP_08d200e0": {
   "en": "GPU Native Multi-GPU RL Pipeline",
   "zh": "GPU原生多卡并行强化学习流水线",
   "level": "l2"
  },
  "CAP_752eb9ae": {
   "en": "Multi-GPU Environment Orchestration",
   "zh": "多GPU环境编排",
   "level": "l3"
  },
  "CAP_683c2074": {
   "en": "GPU Parallel Physics Stepping",
   "zh": "GPU 并行物理步进",
   "level": "l3"
  },
  "CAP_d5f69d48": {
   "en": "Async Environment Reset and Checkpointing",
   "zh": "异步环境重置与检查点",
   "level": "l3"
  },
  "CAP_1d1aedd8": {
   "en": "Decoupled Sim-Train Dataflow Pipeline",
   "zh": "仿真-训练解耦数据流流水线",
   "level": "l2"
  },
  "CAP_ad4686a3": {
   "en": "Async Actor-Learner Communication",
   "zh": "异步Actor-Learner通信",
   "level": "l3"
  },
  "CAP_d811f352": {
   "en": "Async Data Transport & Buffering",
   "zh": "异步数据搬运与缓冲",
   "level": "l3"
  },
  "CAP_51de3501": {
   "en": "Centralized Learner Batch Consumption",
   "zh": "中心化 Learner 批消费",
   "level": "l3"
  },
  "CAP_8a90ab84": {
   "en": "Prioritized Replay Sampling",
   "zh": "优先回放采样",
   "level": "l3"
  },
  "CAP_49f8fa21": {
   "en": "Cloud-Native Multi-Agent Simulation Pipeline",
   "zh": "云原生多智能体仿真流水线",
   "level": "l2"
  },
  "CAP_3d2794a8": {
   "en": "Cloud-Native Simulation Orchestration",
   "zh": "云原生仿真编排",
   "level": "l3"
  },
  "CAP_f5d09bbf": {
   "en": "Distributed Scene Graph Construction",
   "zh": "分布式场景图构建",
   "level": "l3"
  },
  "CAP_28a25076": {
   "en": "Massively Parallel Multi-Agent Simulation Step",
   "zh": "大规模并行多智能体仿真步进",
   "level": "l3"
  },
  "CAP_9ea81f71": {
   "en": "Per-Agent / Scene-Level Data Stream Splitting",
   "zh": "局部观测与全局状态分流",
   "level": "l3"
  },
  "CAP_0e37acd2": {
   "en": "Async Simulation Data Pipeline & Deterministic Replay",
   "zh": "异步仿真数据管道与确定性回放",
   "level": "l3"
  },
  "CAP_1f041abb": {
   "en": "Elastic Scaling & Checkpointing",
   "zh": "弹性伸缩与检查点",
   "level": "l3"
  },
  "CAP_6d212c85": {
   "en": "Distributed State Estimation",
   "zh": "分布式状态估计",
   "level": "l2"
  },
  "CAP_c01ee15b": {
   "en": "Distributed Kalman Consensus Tracking",
   "zh": "分布式一致性卡尔曼滤波",
   "level": "l2"
  },
  "CAP_7e972f8e": {
   "en": "Consensus Information Weighted Fusion",
   "zh": "一致性信息加权融合",
   "level": "l3"
  },
  "CAP_cb84beff": {
   "en": "Master Filter Information Fusion",
   "zh": "状态回投与信息还原",
   "level": "l3"
  },
  "CAP_1ec3bdb2": {
   "en": "Distributed Heterogeneous Multi-Robot SLAM",
   "zh": "分布式异构多机器人SLAM",
   "level": "l2"
  },
  "CAP_5bb1dc40": {
   "en": "Local Estimation Error Covariance Tracking",
   "zh": "本地估计误差协方差跟踪",
   "level": "l3"
  },
  "CAP_a208cb0c": {
   "en": "Event-Triggered Consensus Fusion",
   "zh": "事件触发共识融合",
   "level": "l3"
  },
  "CAP_b736d81f": {
   "en": "Communication Rate Scheduling",
   "zh": "通信率与传输调度",
   "level": "l3"
  },
  "CAP_afa76946": {
   "en": "DDS QoS State Sync and Lifecycle",
   "zh": "DDS QoS 状态同步与生命周期协调",
   "level": "l2"
  },
  "CAP_743e6a3b": {
   "en": "DDS QoS TRANSIENT LOCAL Durable State Publication",
   "zh": "DDS QoS TRANSIENT_LOCAL 持久化状态发布",
   "level": "l3"
  },
  "CAP_a0416934": {
   "en": "DDS Liveliness Node Liveliness Monitoring",
   "zh": "DDS Liveliness 节点活跃度监控",
   "level": "l3"
  },
  "CAP_709a92ee": {
   "en": "Fleet State Aggregation and Coordination",
   "zh": "舰队状态聚合与协调",
   "level": "l2"
  },
  "CAP_fe41de61": {
   "en": "Fleet Adapter REST API State Query",
   "zh": "Fleet Adapter REST API 状态查询",
   "level": "l3"
  },
  "CAP_5d1a58f2": {
   "en": "Fleet Failover State Synchronization",
   "zh": "舰队故障转移状态同步",
   "level": "l3"
  },
  "CAP_3c2e2e3e": {
   "en": "PTP Grandmaster Deployment",
   "zh": "PTP 主时钟部署",
   "level": "l3"
  },
  "CAP_d58a14f5": {
   "en": "PTP Boundary Clock Transparent Relay",
   "zh": "PTP 边界时钟透明中继",
   "level": "l3"
  },
  "CAP_b3c749d1": {
   "en": "EtherCAT Distributed Clock Time Alignment",
   "zh": "EtherCAT DC 时基对齐",
   "level": "l3"
  },
  "CAP_f1a2b3c8": {
   "en": "Device-to-ROS Timestamp Mapping",
   "zh": "设备时间戳到 ROS 时间戳映射",
   "level": "l3"
  },
  "CAP_381261b7": {
   "en": "Central-Place Foraging Task",
   "zh": "中心地觅食任务",
   "level": "l3"
  },
  "CAP_e9aef1ce": {
   "en": "Average Consensus Virtual Clock Sync",
   "zh": "平均共识虚拟时钟同步",
   "level": "l2"
  },
  "CAP_f5cec99c": {
   "en": "Pairwise Neighbor Timestamp Exchange",
   "zh": "邻居配对时间戳交换",
   "level": "l3"
  },
  "CAP_0a705169": {
   "en": "Relative Skew Offset Point Estimation",
   "zh": "相对速率偏移点估计",
   "level": "l3"
  },
  "CAP_58b0ed04": {
   "en": "Clock Skew Average Consensus",
   "zh": "时钟速率平均共识",
   "level": "l3"
  },
  "CAP_3e0d44ac": {
   "en": "Clock Offset Average Consensus",
   "zh": "时钟偏移平均共识",
   "level": "l3"
  },
  "CAP_684d14b8": {
   "en": "Virtual Clock Synthesis",
   "zh": "虚拟时钟合成",
   "level": "l3"
  },
  "CAP_20bbaf7f": {
   "en": "Local Logic Clock Compensation",
   "zh": "本地逻辑时钟补偿",
   "level": "l3"
  },
  "CAP_a34f8c30": {
   "en": "Byzantine Fault-Tolerant Clock Sync",
   "zh": "拜占庭容错时钟共识",
   "level": "l2"
  },
  "CAP_e170210c": {
   "en": "Byzantine Consistent Broadcast Pulse",
   "zh": "拜占庭一致广播脉冲原语",
   "level": "l3"
  },
  "CAP_5bd70a49": {
   "en": "Pulse Sync Byzantine Agreement",
   "zh": "脉冲同步拜占庭协定",
   "level": "l3"
  },
  "CAP_c7ed446c": {
   "en": "Bounded Skew Logic Clock Advance",
   "zh": "有界偏斜逻辑时钟推进",
   "level": "l3"
  },
  "CAP_4cb5b004": {
   "en": "Self-Stabilizing Resync Monitor",
   "zh": "自稳定再同步监控",
   "level": "l3"
  },
  "CAP_880f214a": {
   "en": "Async Event-Triggered Clock Consensus",
   "zh": "异步事件触发时钟共识",
   "level": "l2"
  },
  "CAP_7190d65f": {
   "en": "Steerable Software Clock Modeling",
   "zh": "可操纵软件时钟建模",
   "level": "l3"
  },
  "CAP_557afe56": {
   "en": "Event-Triggered Software Clock Broadcast",
   "zh": "事件触发软件时钟广播",
   "level": "l3"
  },
  "CAP_0a2b9c30": {
   "en": "Async Consensus Software Clock Update",
   "zh": "异步共识软件时钟更新",
   "level": "l3"
  },
  "CAP_506e3d61": {
   "en": "Hybrid System Lyapunov Stability Verify",
   "zh": "混合系统 Lyapunov 稳定验证",
   "level": "l3"
  },
  "CAP_31e40f6a": {
   "en": "Practical Sync Convergence Monitor",
   "zh": "实际同步收敛监测",
   "level": "l3"
  },
  "CAP_ce112ee6": {
   "en": "Pulse-Coupled Oscillator Clock Consensus",
   "zh": "脉冲耦合振荡器时钟共识",
   "level": "l2"
  },
  "CAP_52748e4e": {
   "en": "PCO Phase Coupling Function",
   "zh": "PCO 相位耦合函数建模",
   "level": "l3"
  },
  "CAP_5a1c1545": {
   "en": "Pulse Triggered Phase Jump",
   "zh": "脉冲触发相位跳变更新",
   "level": "l3"
  },
  "CAP_0f36b083": {
   "en": "Refractory Period Suppression",
   "zh": "不应期重复激发抑制",
   "level": "l3"
  },
  "CAP_8600c8e9": {
   "en": "Global Phase Locking Convergence",
   "zh": "全局相位锁定收敛判定",
   "level": "l3"
  },
  "CAP_7dcab1c8": {
   "en": "Stochastic PCO Congestion Avoidance",
   "zh": "随机脉冲耦合拥堵避免",
   "level": "l3"
  },
  "CAP_98270ed6": {
   "en": "Distributed Trace End-to-End Pipeline",
   "zh": "端到端追踪流水线",
   "level": "l2"
  },
  "CAP_4efc24ef": {
   "en": "eBPF Kernel Protocol Capture",
   "zh": "内核协议捕获",
   "level": "l3"
  },
  "CAP_e44c3f20": {
   "en": "AutoTracing Request Reconstruction",
   "zh": "自动调用链重建",
   "level": "l3"
  },
  "CAP_93d06a98": {
   "en": "K8s-Aware AutoTagging",
   "zh": "K8s 感知自动打标",
   "level": "l3"
  },
  "CAP_ed95e364": {
   "en": "Service Map and Flow Visualization",
   "zh": "服务地图与流可视化",
   "level": "l3"
  },
  "CAP_ed9a3bca": {
   "en": "eBPF-native Query DSL",
   "zh": "eBPF 原生查询语言 PxL",
   "level": "l3"
  },
  "CAP_a900ffb3": {
   "en": "AI Root-Cause Analysis on Traces",
   "zh": "基于 Trace 的 AI 根因分析",
   "level": "l2"
  },
  "CAP_c8cfb752": {
   "en": "Trace Anomaly Detection",
   "zh": "调用链异常检测",
   "level": "l3"
  },
  "CAP_6c00df71": {
   "en": "Service Dependency Graph Construction",
   "zh": "服务依赖图构建",
   "level": "l3"
  },
  "CAP_52f9f4e1": {
   "en": "LLM-based RCA Explanation",
   "zh": "LLM 根因解释",
   "level": "l3"
  },
  "CAP_da4abb1f": {
   "en": "Hypothesis Refinement under Partial Observability",
   "zh": "部分可观测下假设修正",
   "level": "l3"
  },
  "CAP_06b0d544": {
   "en": "Covariance-Weighted Kalman Consensus",
   "zh": "协方差加权卡尔曼一致性",
   "level": "l2"
  },
  "CAP_acdd944d": {
   "en": "Consensus State Recovery",
   "zh": "一致性状态恢复",
   "level": "l2"
  },
  "CAP_5248fc80": {
   "en": "RFS Multi-Target Local Filtering",
   "zh": "RFS多目标本地滤波",
   "level": "l2"
  },
  "CAP_812eeb57": {
   "en": "Distributed Multi-Target Consistency",
   "zh": "分布式多目标一致性",
   "level": "l2"
  },
  "CAP_ccbea527": {
   "en": "Distributed Target State Estimation",
   "zh": "分布式目标状态估计",
   "level": "l2"
  },
  "CAP_f8c6f2b1": {
   "en": "Active Sensing Coverage Control",
   "zh": "主动感知覆盖控制",
   "level": "l2"
  },
  "CAP_ba4ec139": {
   "en": "Cooperative Localization and Tracking",
   "zh": "协同定位与跟踪",
   "level": "l2"
  },
  "CAP_a0d50923": {
   "en": "Local Sensor Observation",
   "zh": "本地传感器观测",
   "level": "l3"
  },
  "CAP_faef3532": {
   "en": "JPDA Multi-Target Data Association",
   "zh": "联合概率数据关联多目标",
   "level": "l3"
  },
  "CAP_86af9d50": {
   "en": "Covariance-Derived Consensus Weight",
   "zh": "协方差驱动一致性权重",
   "level": "l3"
  },
  "CAP_94cc03dc": {
   "en": "State Recovery from Information Form",
   "zh": "信息形式状态恢复",
   "level": "l3"
  },
  "CAP_3f6501d1": {
   "en": "Consensus Estimate Broadcast",
   "zh": "一致性估计发布",
   "level": "l3"
  },
  "CAP_a072cfbd": {
   "en": "PHD Filter Prediction",
   "zh": "PHD滤波器预测",
   "level": "l3"
  },
  "CAP_29b428b9": {
   "en": "PHD Filter Update",
   "zh": "PHD滤波器更新",
   "level": "l3"
  },
  "CAP_4522aa95": {
   "en": "Multi-Object State Extraction",
   "zh": "多目标状态提取",
   "level": "l3"
  },
  "CAP_c6dcd8bc": {
   "en": "Distributed PHD Exchange",
   "zh": "分布式PHD交换",
   "level": "l3"
  },
  "CAP_824774aa": {
   "en": "GCI PHD Consensus Multi-Target Tracking",
   "zh": "GCI PHD一致性多目标跟踪",
   "level": "l3"
  },
  "CAP_58d2c8c6": {
   "en": "Distributed Label Matching",
   "zh": "分布式标签匹配",
   "level": "l3"
  },
  "CAP_e00c5d86": {
   "en": "Consensus Iteration Control",
   "zh": "共识迭代控制",
   "level": "l3"
  },
  "CAP_d0437f87": {
   "en": "Global Multi-Object Track Output",
   "zh": "全局多目标航迹输出",
   "level": "l3"
  },
  "CAP_64d481e2": {
   "en": "Local Target Observation",
   "zh": "本地目标观测",
   "level": "l3"
  },
  "CAP_4e58ff51": {
   "en": "Coupled Target Estimation and Motion Control",
   "zh": "耦合目标估计与运动控制",
   "level": "l3"
  },
  "CAP_7feedfd9": {
   "en": "Normalized Unused Sensing Capacity",
   "zh": "归一化未用感知容量",
   "level": "l3"
  },
  "CAP_1fb109f0": {
   "en": "Distributed Coverage Control Law",
   "zh": "分布式覆盖控制律",
   "level": "l3"
  },
  "CAP_ce0fcf39": {
   "en": "Cooperative Motion Planning",
   "zh": "协同运动规划",
   "level": "l3"
  },
  "CAP_bc8dfc13": {
   "en": "Cooperative VIO Integration",
   "zh": "协同VIO集成",
   "level": "l3"
  },
  "CAP_8e07ffc8": {
   "en": "Covariance Union Fusion",
   "zh": "协方差联合融合",
   "level": "l3"
  },
  "CAP_5821722c": {
   "en": "Tracking Control Feedback",
   "zh": "跟踪控制反馈",
   "level": "l3"
  },
  "CAP_30406d32": {
   "en": "ZMP Reactive Stabilizer Pipeline",
   "zh": "ZMP 反应式稳定器管线",
   "level": "l2"
  },
  "CAP_a89b6c3a": {
   "en": "Proprioceptive DCM State Estimation",
   "zh": "本体感知 DCM 状态估计",
   "level": "l3"
  },
  "CAP_74320665": {
   "en": "DCM Error Feedback Control",
   "zh": "DCM 误差反馈控制",
   "level": "l3"
  },
  "CAP_a9c07500": {
   "en": "Contact Wrench Distribution QP",
   "zh": "接触推力分配 QP",
   "level": "l3"
  },
  "CAP_687f3336": {
   "en": "Disturbance Observer Feedforward Balance Compensation",
   "zh": "扰动观测器前馈平衡补偿",
   "level": "l2"
  },
  "CAP_330f983a": {
   "en": "Observer State and Dynamics Modeling",
   "zh": "观测器状态与动力学建模",
   "level": "l3"
  },
  "CAP_417df759": {
   "en": "Disturbance-Aware Whole-body Planner",
   "zh": "扰动感知全身规划器",
   "level": "l3"
  },
  "CAP_30f3d350": {
   "en": "Full-Body HQP Disturbance Rejection Pipeline",
   "zh": "全身 HQP 扰动抑制管线",
   "level": "l2"
  },
  "CAP_ce022106": {
   "en": "Contact-Consistent HQP Formulation",
   "zh": "接触一致 HQP 公式化",
   "level": "l3"
  },
  "CAP_05841f96": {
   "en": "Hierarchical WBC Torque Computation",
   "zh": "分层 WBC 力矩计算",
   "level": "l3"
  },
  "CAP_b599eed5": {
   "en": "Diverse Behavior Discovery via Unsupervised Quality-Diversity",
   "zh": "无监督质量多样性行为发现",
   "level": "l2"
  },
  "CAP_ab77c677": {
   "en": "Unsupervised Behavior Descriptor Learning",
   "zh": "无监督行为描述符学习",
   "level": "l3"
  },
  "CAP_985de37c": {
   "en": "QD Emitter Mutation Operator",
   "zh": "QD 发射器变异算子",
   "level": "l3"
  },
  "CAP_a0018503": {
   "en": "Reset-Free Real-World QD Loop",
   "zh": "免复位真机 QD 探索循环",
   "level": "l3"
  },
  "CAP_659688e7": {
   "en": "Diverse Behavior Library Export",
   "zh": "多样性行为库导出",
   "level": "l3"
  },
  "CAP_4aebc5a9": {
   "en": "Learned Goal Space Representation",
   "zh": "学习型目标空间表征",
   "level": "l3"
  },
  "CAP_01d098ba": {
   "en": "Hindsight Experience Relabeling",
   "zh": "后见之明经验重标记",
   "level": "l3"
  },
  "CAP_6327f443": {
   "en": "Modular Goal-Conditioned Policy",
   "zh": "模块化目标条件策略",
   "level": "l3"
  },
  "CAP_00544794": {
   "en": "Diverse Goal-Reaching Repertoire Evaluation",
   "zh": "多样性目标可达 repertoire 评估",
   "level": "l3"
  },
  "CAP_74f1597c": {
   "en": "Autonomous Skill Library Export",
   "zh": "自主技能库导出",
   "level": "l3"
  },
  "CAP_6e1c4d4d": {
   "en": "Multiplicity of Behavior Policy Learning",
   "zh": "多样性增强行为策略学习",
   "level": "l2"
  },
  "CAP_0fb7c221": {
   "en": "Gait Parameterization & Behavior Command Design",
   "zh": "步态参数化与行为命令设计",
   "level": "l3"
  },
  "CAP_b34915d0": {
   "en": "Parameterized Auxiliary Reward Construction",
   "zh": "参数化辅助奖励构造",
   "level": "l3"
  },
  "CAP_0a9a7737": {
   "en": "MoB Policy Training via PPO",
   "zh": "MoB 策略 PPO 训练",
   "level": "l3"
  },
  "CAP_2c8f9aab": {
   "en": "Real-Time Behavior Parameter Inference",
   "zh": "实时行为参数推理",
   "level": "l3"
  },
  "CAP_f06d6197": {
   "en": "MoB Generalization & Deployment",
   "zh": "MoB 泛化与部署",
   "level": "l2"
  },
  "CAP_740c9aa0": {
   "en": "Out-of-Distribution Generalization Evaluation",
   "zh": "分布外泛化评估",
   "level": "l3"
  },
  "CAP_a7c0a885": {
   "en": "Go1 Sim-to-Real Deployment",
   "zh": "Go1 真机 sim-to-real 部署",
   "level": "l3"
  },
  "CAP_5d63120c": {
   "en": "Multicast DNS Unique Record Probing",
   "zh": "mDNS 唯一记录探测与冲突仲裁",
   "level": "l3"
  },
  "CAP_503148f9": {
   "en": "DNS-SD Record Set Assembly",
   "zh": "DNS-SD 记录集组装",
   "level": "l3"
  },
  "CAP_dfa7b387": {
   "en": "Multicast DNS Announce Goodbye",
   "zh": "mDNS 多播通告与 Goodbye",
   "level": "l3"
  },
  "CAP_6a27bb8f": {
   "en": "DNS-SD Service Browsing",
   "zh": "DNS-SD 服务类型浏览",
   "level": "l3"
  },
  "CAP_587dfa74": {
   "en": "DNS-SD Instance Resolution",
   "zh": "DNS-SD 实例解析",
   "level": "l3"
  },
  "CAP_6ffb423c": {
   "en": "Multicast DNS Cache Coherency",
   "zh": "mDNS 缓存一致性与 TTL 管理",
   "level": "l3"
  },
  "CAP_64732e2a": {
   "en": "SRV Priority Weight Selection",
   "zh": "SRV 优先级权重选择",
   "level": "l3"
  },
  "CAP_ce302dff": {
   "en": "DNS Update Message Construction",
   "zh": "DNS UPDATE 报文构造",
   "level": "l3"
  },
  "CAP_ad35a28f": {
   "en": "TSIG SIG0 Update Authentication",
   "zh": "TSIG/SIG(0) 更新认证",
   "level": "l3"
  },
  "CAP_89c4b96c": {
   "en": "SRP Service Registration",
   "zh": "SRP 单播服务自注册",
   "level": "l3"
  },
  "CAP_fb042528": {
   "en": "Unicast DNS-SD Browsing",
   "zh": "单播 DNS-SD 浏览",
   "level": "l3"
  },
  "CAP_8088ec3f": {
   "en": "Lease Renewal Record Reclaim",
   "zh": "租约续期与记录回收",
   "level": "l3"
  },
  "CAP_ae1c5cf8": {
   "en": "Kubernetes Service Endpoint Declaration",
   "zh": "K8s Service/Endpoints 声明",
   "level": "l3"
  },
  "CAP_41d69773": {
   "en": "CoreDNS Kubernetes Watch Sync",
   "zh": "CoreDNS kubernetes 插件 watch 同步",
   "level": "l3"
  },
  "CAP_acbeb697": {
   "en": "Pod DNS Resolution ClusterFirst",
   "zh": "Pod DNS 解析 ClusterFirst",
   "level": "l3"
  },
  "CAP_f39f6cae": {
   "en": "Kubernetes SRV Headless Resolution",
   "zh": "K8s SRV/Headless 解析",
   "level": "l3"
  },
  "CAP_03d4ca3e": {
   "en": "DNS Programming Latency Ready",
   "zh": "DNS 编程延迟与 ready 探针",
   "level": "l3"
  },
  "CAP_0c56c91a": {
   "en": "NodeLocal DNS Cache Optimization",
   "zh": "NodeLocal DNSCache 优化",
   "level": "l3"
  },
  "CAP_fb21e6ef": {
   "en": "Multi-Modal Fusion Docking Alignment",
   "zh": "多模态融合估计与跟踪控制对接对齐",
   "level": "l2"
  },
  "CAP_b1009db6": {
   "en": "Lyapunov Docking Tracking Control",
   "zh": "Lyapunov 跟踪控制律对接收敛",
   "level": "l3"
  },
  "CAP_9ad15cbd": {
   "en": "Docking Convergence Precision Verification",
   "zh": "收敛阈值检测与精度验证",
   "level": "l3"
  },
  "CAP_88cdbb61": {
   "en": "Docking Alignment Success Confirmation",
   "zh": "对接对齐成功确认",
   "level": "l3"
  },
  "CAP_dbad2b4c": {
   "en": "Compliance Matrix and RCC Selection",
   "zh": "柔度矩阵规格与 RCC 机构选型",
   "level": "l3"
  },
  "CAP_fba3173a": {
   "en": "Funnel Cone Capture Envelope Analysis",
   "zh": "漏斗/锥形几何与捕获容差包络分析",
   "level": "l3"
  },
  "CAP_ec30dd42": {
   "en": "Coarse Approach to Capture Envelope",
   "zh": "粗接近至捕获包络",
   "level": "l3"
  },
  "CAP_1179bfaa": {
   "en": "Funnel Cone Self-Centering Alignment",
   "zh": "漏斗/锥形导向自定心被动对齐",
   "level": "l3"
  },
  "CAP_3ed62609": {
   "en": "Passive Alignment Convergence Verification",
   "zh": "被动对齐收敛验证",
   "level": "l3"
  },
  "CAP_9d63be05": {
   "en": "Mechanical Locking and Alignment Confirmation",
   "zh": "机械锁定与对齐确认",
   "level": "l3"
  },
  "CAP_a377a63b": {
   "en": "Visual Pose Estimation for Docking",
   "zh": "视觉位姿估计与全局引导",
   "level": "l3"
  },
  "CAP_b287e1de": {
   "en": "Visual Servoing Approach to Contact",
   "zh": "视觉伺服接近至接触预期",
   "level": "l3"
  },
  "CAP_9331bad9": {
   "en": "Contact Detection and Mode Switch",
   "zh": "接触检测与视觉-力模式切换",
   "level": "l3"
  },
  "CAP_de85fe9c": {
   "en": "Hybrid Visual-Force Control Law",
   "zh": "混合视觉-力控制律",
   "level": "l3"
  },
  "CAP_47de46f8": {
   "en": "Force-Guided Iterative Pose Correction",
   "zh": "力引导迭代位姿修正精细对齐",
   "level": "l3"
  },
  "CAP_08b0d907": {
   "en": "Hybrid Alignment Convergence Verification",
   "zh": "混合对齐收敛验证与完成",
   "level": "l3"
  },
  "CAP_a82001a3": {
   "en": "Nav2 Recovery Behavior Docking Retry",
   "zh": "Nav2 恢复行为对接重试",
   "level": "l2"
  },
  "CAP_e9169e40": {
   "en": "Docking Approach Failure Detection",
   "zh": "对接逼近失败检测",
   "level": "l3"
  },
  "CAP_b6ad4db2": {
   "en": "Staging Pose Backoff Retry",
   "zh": "Staging Pose 回退重试",
   "level": "l3"
  },
  "CAP_48b8b9d5": {
   "en": "Dock Re-perception and Re-approach",
   "zh": "Dock 重新感知与重新逼近",
   "level": "l3"
  },
  "CAP_4967b7a5": {
   "en": "AUV Collision Recovery and Secondary Docking",
   "zh": "AUV 碰撞后姿态恢复与二次对接",
   "level": "l2"
  },
  "CAP_0459a4cb": {
   "en": "Collision Detection and Attitude Stabilization",
   "zh": "碰撞检测与姿态稳定",
   "level": "l3"
  },
  "CAP_4b442deb": {
   "en": "Dynamic Fault Assessment for Secondary Docking",
   "zh": "二次对接动态故障评估",
   "level": "l3"
  },
  "CAP_6149cb81": {
   "en": "Station-keeping Backoff and Re-approach",
   "zh": "Station-keeping 后退与重新逼近",
   "level": "l3"
  },
  "CAP_174cdd92": {
   "en": "Connector Insertion Retry and Correction",
   "zh": "连接器插入失败重试与纠偏",
   "level": "l2"
  },
  "CAP_b14bf773": {
   "en": "Insertion Failure Detection",
   "zh": "插入失败检测",
   "level": "l3"
  },
  "CAP_64e261d7": {
   "en": "Perturb Search and Re-grasp",
   "zh": "扰动搜索与重新抓取",
   "level": "l3"
  },
  "CAP_597cb659": {
   "en": "Admittance Control Re-insertion",
   "zh": "导纳控制柔顺重插",
   "level": "l3"
  },
  "CAP_526b2ec4": {
   "en": "Proactive Recovery Branch Compilation",
   "zh": "预测式恢复分支编译",
   "level": "l3"
  },
  "CAP_05a2f042": {
   "en": "Online Deviation Detection and Branch Switching",
   "zh": "在线偏离检测与分支切换",
   "level": "l3"
  },
  "CAP_a0ce71ba": {
   "en": "Rule-based Chunking and Flat Vector Indexing",
   "zh": "递归规则分块与扁平向量索引",
   "level": "l2"
  },
  "CAP_910f912b": {
   "en": "Document Loading and Text Cleaning",
   "zh": "文档加载与文本归一化",
   "level": "l3"
  },
  "CAP_c411c678": {
   "en": "Chunk Size Configuration (Token-aware)",
   "zh": "分块参数配置（token感知）",
   "level": "l3"
  },
  "CAP_10909084": {
   "en": "Recursive Character Text Splitting",
   "zh": "递归字符文本切分",
   "level": "l3"
  },
  "CAP_7cc1d28d": {
   "en": "Chunk Embedding Generation",
   "zh": "文本块嵌入生成",
   "level": "l3"
  },
  "CAP_8596e049": {
   "en": "Flat ANN Vector Index Construction",
   "zh": "扁平ANN向量索引构建",
   "level": "l3"
  },
  "CAP_c5afd64b": {
   "en": "Structure-aware Chunking and Parent-Child Indexing",
   "zh": "结构感知分块与父子索引",
   "level": "l2"
  },
  "CAP_4f4c8d12": {
   "en": "Document Structure Parsing",
   "zh": "文档结构解析",
   "level": "l3"
  },
  "CAP_e40b77de": {
   "en": "Structure Metadata Tagging",
   "zh": "结构元数据标注",
   "level": "l3"
  },
  "CAP_9df0a63d": {
   "en": "Parent-Child Index Construction",
   "zh": "父子索引构建",
   "level": "l3"
  },
  "CAP_2eb7b5a2": {
   "en": "Context-Preserving Chunk Embedding",
   "zh": "上下文保持的分块嵌入",
   "level": "l2"
  },
  "CAP_04cb50f9": {
   "en": "Long-Context Document Embedding",
   "zh": "文档级上下文编码",
   "level": "l3"
  },
  "CAP_8d4078e0": {
   "en": "Token-Level Chunk Pooling",
   "zh": "token级切块池化",
   "level": "l3"
  },
  "CAP_6a5eaf23": {
   "en": "Contextual Chunk Augmentation",
   "zh": "上下文块增强",
   "level": "l3"
  },
  "CAP_c09f8573": {
   "en": "Semantic Boundary Chunking",
   "zh": "语义边界切分",
   "level": "l3"
  },
  "CAP_f071a15c": {
   "en": "Contextual BM25 Index Construction",
   "zh": "上下文BM25索引构建",
   "level": "l3"
  },
  "CAP_d9ef42b3": {
   "en": "Recursive Abstractive Tree Indexing",
   "zh": "递归抽象摘要树索引",
   "level": "l2"
  },
  "CAP_8911718a": {
   "en": "Leaf Chunk Embedding",
   "zh": "叶子块嵌入",
   "level": "l3"
  },
  "CAP_87893abc": {
   "en": "GMM Soft Clustering",
   "zh": "GMM软聚类",
   "level": "l3"
  },
  "CAP_d3408253": {
   "en": "LLM Cluster Summarization",
   "zh": "LLM簇摘要",
   "level": "l3"
  },
  "CAP_ce969e85": {
   "en": "Recursive Tree Construction",
   "zh": "递归建树",
   "level": "l3"
  },
  "CAP_d2674474": {
   "en": "Tree Index Construction",
   "zh": "树索引构建",
   "level": "l3"
  },
  "CAP_73189b8a": {
   "en": "Integrated Document OCR Engine",
   "zh": "集成文档OCR引擎",
   "level": "l2"
  },
  "CAP_46800de1": {
   "en": "Document Image Preprocessing",
   "zh": "文档图像预处理",
   "level": "l3"
  },
  "CAP_f2a94ebd": {
   "en": "Page Segmentation Mode Analysis",
   "zh": "页面分割模式分析",
   "level": "l3"
  },
  "CAP_1167ea1c": {
   "en": "LSTM Line Recognition",
   "zh": "LSTM行识别",
   "level": "l3"
  },
  "CAP_8eda97b9": {
   "en": "Tesseract Post-processing",
   "zh": "Tesseract后处理",
   "level": "l3"
  },
  "CAP_c4fa2f53": {
   "en": "Structured OCR Output Generation",
   "zh": "结构化OCR输出生成",
   "level": "l3"
  },
  "CAP_7e3eff89": {
   "en": "Modular Document OCR Pipeline",
   "zh": "模块化文档OCR管线",
   "level": "l2"
  },
  "CAP_e77c739a": {
   "en": "Document Orientation Correction",
   "zh": "文档方向校正",
   "level": "l3"
  },
  "CAP_84a84af9": {
   "en": "Document Layout Analysis",
   "zh": "文档版面分析",
   "level": "l3"
  },
  "CAP_1695af57": {
   "en": "Reading Order Prediction",
   "zh": "阅读顺序预测",
   "level": "l3"
  },
  "CAP_936c4e47": {
   "en": "Table Structure Recognition",
   "zh": "表格结构识别",
   "level": "l3"
  },
  "CAP_f849da8a": {
   "en": "Formula Recognition",
   "zh": "公式识别",
   "level": "l3"
  },
  "CAP_9a01b901": {
   "en": "Layout Recovery and Reconstruction",
   "zh": "版面恢复与重建",
   "level": "l3"
  },
  "CAP_5f9830c6": {
   "en": "End-to-End VLM Document OCR",
   "zh": "端到端VLM文档OCR",
   "level": "l2"
  },
  "CAP_4e0bad56": {
   "en": "Autoregressive Document Text Decoding",
   "zh": "自回归文档文本解码",
   "level": "l3"
  },
  "CAP_2b3c4d5a": {
   "en": "Structured Document Output Generation",
   "zh": "结构化文档输出生成",
   "level": "l3"
  },
  "CAP_bed25b40": {
   "en": "Historical Document OCR Pipeline",
   "zh": "历史文档OCR管线",
   "level": "l2"
  },
  "CAP_07ce167c": {
   "en": "Document Degradation Modeling",
   "zh": "文档退化建模",
   "level": "l3"
  },
  "CAP_81c313f5": {
   "en": "Adaptive Document Binarization",
   "zh": "自适应文档二值化",
   "level": "l3"
  },
  "CAP_27ef5a4d": {
   "en": "Trainable Baseline Line Segmentation",
   "zh": "可训练基线行分割",
   "level": "l3"
  },
  "CAP_fd09dbf2": {
   "en": "Multi-Model Voting Recognition",
   "zh": "多模型投票识别",
   "level": "l3"
  },
  "CAP_eddbe066": {
   "en": "OCR Post-Correction",
   "zh": "OCR后校正",
   "level": "l3"
  },
  "CAP_7194bb7f": {
   "en": "Adversarial Output-Space Domain Alignment",
   "zh": "对抗输出空间域对齐",
   "level": "l2"
  },
  "CAP_01a7d061": {
   "en": "Source-Target Domain Data Preparation",
   "zh": "源-目标域数据准备",
   "level": "l3"
  },
  "CAP_a7c95f16": {
   "en": "2D Semantic Segmentation Network Inference",
   "zh": "2D 语义分割网络推理",
   "level": "l3"
  },
  "CAP_f2e21100": {
   "en": "Pixel-wise Prediction Entropy Computation",
   "zh": "像素级预测熵计算",
   "level": "l3"
  },
  "CAP_f2d9d8cf": {
   "en": "Entropy Loss Minimization",
   "zh": "熵损失最小化",
   "level": "l3"
  },
  "CAP_214fc94a": {
   "en": "Output-Space Adversarial Discriminator",
   "zh": "输出空间对抗判别器",
   "level": "l3"
  },
  "CAP_a7d49c75": {
   "en": "Joint Adversarial Training Scheduler",
   "zh": "联合对抗训练调度器",
   "level": "l3"
  },
  "CAP_bd8ecd22": {
   "en": "Domain-Invariant Feature Deployment Step",
   "zh": "域不变特征部署步骤",
   "level": "l3"
  },
  "CAP_f136ac8d": {
   "en": "Self-Training Pseudo-Label UDA",
   "zh": "自训练伪标签域适应",
   "level": "l2"
  },
  "CAP_62480d3a": {
   "en": "Target-Domain Teacher Pseudo-Label Generation",
   "zh": "目标域教师伪标签生成",
   "level": "l3"
  },
  "CAP_82ed08c0": {
   "en": "Multi-Resolution Crop Fusion",
   "zh": "多分辨率裁剪融合",
   "level": "l3"
  },
  "CAP_ffc764a2": {
   "en": "Cross-Domain Mixed Sampling Augmentation",
   "zh": "跨域混合采样数据增强",
   "level": "l3"
  },
  "CAP_24be9829": {
   "en": "Rare Class Sampling",
   "zh": "罕见类采样",
   "level": "l3"
  },
  "CAP_e8ec65b1": {
   "en": "Test-Time Adaptation for Semantic Segmentation",
   "zh": "语义分割测试时适应",
   "level": "l2"
  },
  "CAP_e6b189f2": {
   "en": "Augmented Teacher-Student Adaptation",
   "zh": "增广教师学生适配",
   "level": "l3"
  },
  "CAP_93ec91ff": {
   "en": "Continual Adaptation Error Recovery",
   "zh": "持续适配误差恢复",
   "level": "l3"
  },
  "CAP_0a73a69f": {
   "en": "Test-Time Adaptation Evaluation",
   "zh": "测试时适应评估",
   "level": "l3"
  },
  "CAP_f5f41380": {
   "en": "Domain Randomization Pipeline",
   "zh": "域随机化管道",
   "level": "l3"
  },
  "CAP_e2800c40": {
   "en": "RCAN Randomized to Canonical Adaptation",
   "zh": "RCAN 随机化到规范适应网络",
   "level": "l2"
  },
  "CAP_0bbe448f": {
   "en": "Paired Pix2Pix Image Translation",
   "zh": "配对 Pix2Pix 图像翻译",
   "level": "l3"
  },
  "CAP_ec3b42f5": {
   "en": "DR Config Real-Robot Transfer Ablation Evaluation",
   "zh": "DR配置真机迁移消融评估",
   "level": "l2"
  },
  "CAP_daf6b128": {
   "en": "Real-World Transfer Metric Measurement",
   "zh": "真机迁移指标度量",
   "level": "l3"
  },
  "CAP_1d511fde": {
   "en": "DR Config Statistical Comparison",
   "zh": "DR配置统计比较",
   "level": "l3"
  },
  "CAP_b4d8e096": {
   "en": "DR Config Proxy Ranking",
   "zh": "DR配置代理评测排名",
   "level": "l2"
  },
  "CAP_aa69586e": {
   "en": "Sim-to-Real Visual Gap Mitigation",
   "zh": "仿真到真实视觉差距缓解",
   "level": "l3"
  },
  "CAP_c1401d4c": {
   "en": "DR Config Proxy Ranking Metric",
   "zh": "DR配置代理排名度量",
   "level": "l3"
  },
  "CAP_b680371d": {
   "en": "Real-to-Sim Mirroring Benchmark Evaluation",
   "zh": "真实到仿真镜像基准评测",
   "level": "l3"
  },
  "CAP_6c2353c6": {
   "en": "ADR Range Optimization Loop",
   "zh": "ADR范围优化闭环",
   "level": "l2"
  },
  "CAP_0022df8c": {
   "en": "Range Expansion Contraction Gating",
   "zh": "范围扩展收缩门控",
   "level": "l3"
  },
  "CAP_c73b5ed6": {
   "en": "Parametric Visual Randomization",
   "zh": "参数化视觉随机化",
   "level": "l2"
  },
  "CAP_080c76c7": {
   "en": "Automatic DR Generation",
   "zh": "自动域随机化生成",
   "level": "l2"
  },
  "CAP_e8f8799f": {
   "en": "Visual Randomization Distribution Definition",
   "zh": "视觉随机化分布定义",
   "level": "l3"
  },
  "CAP_392b09ae": {
   "en": "Randomized Photoreal Rendering",
   "zh": "随机化光真实感渲染与自动标注",
   "level": "l3"
  },
  "CAP_2a12cd84": {
   "en": "Domain Randomization Vision Sim2Real",
   "zh": "域随机化视觉仿真到真实迁移",
   "level": "l3"
  },
  "CAP_8c6a9fc3": {
   "en": "Real-World Visual Robustness Evaluation",
   "zh": "真实世界视觉鲁棒性评测",
   "level": "l3"
  },
  "CAP_cf864a84": {
   "en": "Physical and Visual DR Configuration",
   "zh": "物理与视觉域随机化配置",
   "level": "l3"
  },
  "CAP_80e42114": {
   "en": "Sim-to-Real Gap Metrics",
   "zh": "仿真到真实差距度量",
   "level": "l3"
  },
  "CAP_d2ab5866": {
   "en": "Transfer Robustness and Adaptation Evaluation",
   "zh": "迁移鲁棒性与自适应评估",
   "level": "l3"
  },
  "CAP_7685da9f": {
   "en": "照片级合成数据生成DR",
   "zh": "照片级合成数据生成域随机化",
   "level": "l2"
  },
  "CAP_60f657d3": {
   "en": "GPU并行动力学域随机化Episode数据集生成",
   "zh": "GPU并行动力学域随机化Episode数据集生成",
   "level": "l2"
  },
  "CAP_f106343d": {
   "en": "Visual DR Dataset Batch Pipeline",
   "zh": "视觉DR数据集批量生成编排",
   "level": "l3"
  },
  "CAP_3c8e514d": {
   "en": "Procedural PBR Pipeline with Collision-Aware Sampling",
   "zh": "程序化PBR流水线与碰撞感知采样",
   "level": "l3"
  },
  "CAP_6ce875d8": {
   "en": "RGB-Only Training Transfer to Real World",
   "zh": "仅仿真RGB训练迁移真实世界",
   "level": "l3"
  },
  "CAP_5a020475": {
   "en": "域随机化轨迹收集",
   "zh": "域随机化轨迹收集",
   "level": "l3"
  },
  "CAP_37203817": {
   "en": "ADR驱动的课程化Episode数据集生成",
   "zh": "ADR驱动的课程化Episode数据集生成",
   "level": "l2"
  },
  "CAP_314a04dd": {
   "en": "Pluggable Domain Adapter Module Library",
   "zh": "可插拔域适配器模块库",
   "level": "l2"
  },
  "CAP_16351bbf": {
   "en": "Pretrained Weight Merging Adapter Init",
   "zh": "预训练权重合并的域适配器初始化",
   "level": "l3"
  },
  "CAP_94249f9c": {
   "en": "Declarative Adapter Config Swap",
   "zh": "声明式适配器配置替换",
   "level": "l3"
  },
  "CAP_d508a81b": {
   "en": "OFT Action Recipe Domain Parameterization",
   "zh": "OFT动作配方域参数化",
   "level": "l3"
  },
  "CAP_0dd16bfc": {
   "en": "Per-Task LoRA Module Allocation",
   "zh": "每任务 LoRA 模块分配",
   "level": "l3"
  },
  "CAP_d2f1328b": {
   "en": "Cross-Embodiment Visual Policy Training",
   "zh": "跨具身视觉策略训练",
   "level": "l3"
  },
  "CAP_e2291e05": {
   "en": "VLM Action Token Vocabulary",
   "zh": "VLM 动作 token 词表",
   "level": "l3"
  },
  "CAP_1265fe94": {
   "en": "Household Activity BDDL Task Definition and Parsing",
   "zh": "家居日常活动 BDDL 任务定义与解析",
   "level": "l3"
  },
  "CAP_4cb5ce9a": {
   "en": "OmniGibson Scene and Asset Loading",
   "zh": "OmniGibson 场景与资产加载",
   "level": "l3"
  },
  "CAP_e911ef35": {
   "en": "Valid Initial Configuration Sampling",
   "zh": "合法初始配置采样",
   "level": "l3"
  },
  "CAP_0f53423f": {
   "en": "Extended Object State Simulation",
   "zh": "扩展物体状态仿真",
   "level": "l3"
  },
  "CAP_2f35ff32": {
   "en": "RoboCasa Kitchen Scene Generation",
   "zh": "RoboCasa 厨房场景生成",
   "level": "l2"
  },
  "CAP_bf7ddbe1": {
   "en": "LLM-Guided Composite Task Generation",
   "zh": "LLM 引导的复合任务生成",
   "level": "l3"
  },
  "CAP_4b964df3": {
   "en": "Action Primitive Robotic Execution",
   "zh": "动作原语机器人执行",
   "level": "l3"
  },
  "CAP_b453fd87": {
   "en": "Long-Horizon Activity Evaluation",
   "zh": "长程活动评测",
   "level": "l3"
  },
  "CAP_7d6d0093": {
   "en": "Extended Object State and Transition Machine Simulation",
   "zh": "扩展物体状态与过渡机仿真",
   "level": "l3"
  },
  "CAP_def054be": {
   "en": "Long-Horizon Activity Goal-Condition Evaluation",
   "zh": "长程活动目标条件评估",
   "level": "l3"
  },
  "CAP_8ad3e191": {
   "en": "Extended Object State Transition",
   "zh": "扩展物体状态转移",
   "level": "l3"
  },
  "CAP_57f45e25": {
   "en": "Simulation-based Perception and State Estimation",
   "zh": "基于仿真的感知与状态估计",
   "level": "l2"
  },
  "CAP_9fab2f76": {
   "en": "SoftGym Environment Wrapper",
   "zh": "SoftGym 软体操作环境封装",
   "level": "l3"
  },
  "CAP_8a9e0927": {
   "en": "PyFleX Deformable Physics Backend",
   "zh": "PyFleX 软体物理后端",
   "level": "l3"
  },
  "CAP_8af85b02": {
   "en": "Cloth Mesh Modeling",
   "zh": "织物网格建模",
   "level": "l3"
  },
  "CAP_d1f4b348": {
   "en": "Cloth Scene Generation",
   "zh": "织物场景生成",
   "level": "l3"
  },
  "CAP_d9ac5e73": {
   "en": "GarmentLab Environment",
   "zh": "GarmentLab 服装操作环境",
   "level": "l3"
  },
  "CAP_03f9af9a": {
   "en": "Garment Task Dataset",
   "zh": "服装任务数据集",
   "level": "l3"
  },
  "CAP_7036d5c1": {
   "en": "Particle Fluid Simulation",
   "zh": "粒子流体仿真",
   "level": "l3"
  },
  "CAP_7c874001": {
   "en": "Tactile and Vision Sensor Simulation",
   "zh": "触觉与视觉传感器仿真",
   "level": "l2"
  },
  "CAP_8ae0e827": {
   "en": "Garment Task Dataset and Policy Evaluation",
   "zh": "服装任务数据集与策略评测",
   "level": "l3"
  },
  "CAP_4ccbea6b": {
   "en": "SoftGym Environment Configuration",
   "zh": "SoftGym 环境配置",
   "level": "l2"
  },
  "CAP_55b8305b": {
   "en": "SoftGym Task Execution and Data Collection",
   "zh": "SoftGym 任务执行与数据采集",
   "level": "l2"
  },
  "CAP_a1c1ee81": {
   "en": "SoftGym Evaluation and Baseline Comparison",
   "zh": "SoftGym评估与基线比较",
   "level": "l3"
  },
  "CAP_fbde1052": {
   "en": "Zero-Shot Home Scene Representation",
   "zh": "零样本家庭场景表示",
   "level": "l3"
  },
  "CAP_1313be6d": {
   "en": "Open-Vocabulary Grounding",
   "zh": "开放词汇物体检测与语言接地",
   "level": "l3"
  },
  "CAP_16877e26": {
   "en": "Open-Vocabulary Navigation",
   "zh": "开放词汇语义导航",
   "level": "l3"
  },
  "CAP_ae0af384": {
   "en": "Modular Grasping Primitive",
   "zh": "模块化抓取原语",
   "level": "l3"
  },
  "CAP_0a6b39d5": {
   "en": "OVMM Benchmark Evaluation",
   "zh": "OVMM 基准评测",
   "level": "l3"
  },
  "CAP_da6184f0": {
   "en": "Human-in-the-Loop Collaboration Evaluation",
   "zh": "人在回路协作评测",
   "level": "l3"
  },
  "CAP_84c243c7": {
   "en": "Pick-Place Pipeline and Verification",
   "zh": "抓放管线与放置验证",
   "level": "l3"
  },
  "CAP_2efc8e0b": {
   "en": "OVMM Benchmark and Evaluation",
   "zh": "OVMM基准与评测",
   "level": "l3"
  },
  "CAP_f5257790": {
   "en": "Social Navigation and Rearrangement Evaluation",
   "zh": "社交导航与社交重排评测",
   "level": "l3"
  },
  "CAP_24fcee98": {
   "en": "Human-in-the-Loop Collaboration Infrastructure",
   "zh": "人类在环协作基础设施",
   "level": "l3"
  },
  "CAP_3c5c8aef": {
   "en": "Scene Perception and Semantic Mapping",
   "zh": "场景感知与语义建图",
   "level": "l2"
  },
  "CAP_c8738ad0": {
   "en": "3D Scene Capture and Reconstruction",
   "zh": "3D场景采集与重建",
   "level": "l3"
  },
  "CAP_5a8619f0": {
   "en": "Open-Vocabulary Semantic Mapping",
   "zh": "开放词汇语义建图",
   "level": "l3"
  },
  "CAP_00f4f1fd": {
   "en": "Zero-Shot Object Navigation",
   "zh": "零样本物体导航",
   "level": "l2"
  },
  "CAP_ce0f179c": {
   "en": "Language-Conditioned Navigation",
   "zh": "语言条件导航",
   "level": "l3"
  },
  "CAP_cefee839": {
   "en": "Modular Grasping and Placement",
   "zh": "模块化抓取与放置",
   "level": "l2"
  },
  "CAP_236c9273": {
   "en": "APB Object Library and Shelf Scene Configuration",
   "zh": "APB 物体库与货架场景配置",
   "level": "l2"
  },
  "CAP_13d9ac33": {
   "en": "Grasp Benchmark Evaluation",
   "zh": "抓取基准评测",
   "level": "l3"
  },
  "CAP_3e17fa7c": {
   "en": "Grasp Data Collection and Retraining",
   "zh": "抓取数据采集与重训练",
   "level": "l3"
  },
  "CAP_d1312221": {
   "en": "Grasp Data Collection and Reuse",
   "zh": "抓取数据采集与回流",
   "level": "l3"
  },
  "CAP_ac0c29a1": {
   "en": "Grasp Quality Evaluation and Ranking",
   "zh": "抓取质量评估与排序",
   "level": "l2"
  },
  "CAP_a1066131": {
   "en": "Robotic Grasp Execution and Verification",
   "zh": "机器人抓取执行与验证",
   "level": "l2"
  },
  "CAP_9bd09fee": {
   "en": "Motion Planning and Execution",
   "zh": "运动规划与执行",
   "level": "l3"
  },
  "CAP_a1b78ab4": {
   "en": "Grasp Success Verification",
   "zh": "抓取成功验证",
   "level": "l3"
  },
  "CAP_d1faab84": {
   "en": "3D Articulation Flow Manipulation",
   "zh": "三维铰接流操作",
   "level": "l2"
  },
  "CAP_ea188485": {
   "en": "Articulated Object Point Cloud Acquisition",
   "zh": "铰接物体点云获取",
   "level": "l3"
  },
  "CAP_7610db9d": {
   "en": "Per-Point 3D Articulation Flow Prediction",
   "zh": "逐点三维铰接流预测",
   "level": "l3"
  },
  "CAP_e25dbf06": {
   "en": "Suction Grasp Point Selection",
   "zh": "吸盘抓握点选择",
   "level": "l3"
  },
  "CAP_4f490b25": {
   "en": "Actionable Part Perception",
   "zh": "可操作部件感知",
   "level": "l2"
  },
  "CAP_0568e5f177": {
   "en": "GAPart Pose Fitting with Symmetry",
   "zh": "GAPart 对称性感知位姿拟合",
   "level": "l3"
  },
  "CAP_10144479": {
   "en": "Part-Based Opening Execution",
   "zh": "部件驱动开合执行",
   "level": "l2"
  },
  "CAP_097da5f697": {
   "en": "Part-Based Cross-Object Manipulation Transfer",
   "zh": "基于部件的跨物体操作迁移",
   "level": "l3"
  },
  "CAP_89dae9b8": {
   "en": "Goal-Conditioned Position Selection",
   "zh": "目标条件交互位置选择",
   "level": "l3"
  },
  "CAP_196f1421": {
   "en": "Universal Action Sequence Inference",
   "zh": "通用动作序列推断",
   "level": "l2"
  },
  "CAP_ff8441f5": {
   "en": "Arrow-of-Time Action Direction Inference",
   "zh": "时间箭头动作方向推断",
   "level": "l3"
  },
  "CAP_976c5369": {
   "en": "Conditional Variational Action Generation",
   "zh": "条件变分动作生成",
   "level": "l3"
  },
  "CAP_2a18bc43": {
   "en": "Tactile-Force Compliant Sensing",
   "zh": "触觉力觉柔顺感知",
   "level": "l2"
  },
  "CAP_dca7df61": {
   "en": "Resistive Tactile Array Sensing",
   "zh": "电阻式触觉阵列感知",
   "level": "l3"
  },
  "CAP_1b22469c": {
   "en": "Tactile Sensor MuJoCo Simulation",
   "zh": "触觉传感器MuJoCo仿真建模",
   "level": "l3"
  },
  "CAP_ed90325d": {
   "en": "Tactile-Enhanced RL Policy Training",
   "zh": "触觉增强强化学习策略训练",
   "level": "l2"
  },
  "CAP_b796a60c": {
   "en": "Tactile-Enhanced TD3 Policy Training",
   "zh": "触觉增强TD3策略训练",
   "level": "l3"
  },
  "CAP_a35a5a1d": {
   "en": "Zero-Shot Tactile Sim-to-Real Door Opening",
   "zh": "零样本触觉sim-to-real门开合",
   "level": "l3"
  },
  "CAP_83e4ff5c": {
   "en": "RGB-D Door and Handle Detection",
   "zh": "RGB-D 门与把手检测",
   "level": "l2"
  },
  "CAP_924112c2": {
   "en": "RGB-D Frame Acquisition",
   "zh": "RGB-D 帧采集",
   "level": "l3"
  },
  "CAP_a9a44a52": {
   "en": "Door State Classification",
   "zh": "门状态分类",
   "level": "l3"
  },
  "CAP_01b9971f": {
   "en": "Door Point Cloud Geometry Estimation",
   "zh": "门点云几何估计",
   "level": "l2"
  },
  "CAP_236fcf20": {
   "en": "Point Cloud ROI Segmentation",
   "zh": "点云 ROI 分割",
   "level": "l3"
  },
  "CAP_c20841a6": {
   "en": "Point Cloud Statistical Outlier Removal",
   "zh": "点云统计离群点滤波",
   "level": "l3"
  },
  "CAP_95976fa0": {
   "en": "Point Cloud Voxel Downsampling",
   "zh": "点云体素降采样",
   "level": "l3"
  },
  "CAP_c6d29dad": {
   "en": "Door Plane Normal Estimation",
   "zh": "门平面法向估计",
   "level": "l3"
  },
  "CAP_012bf990": {
   "en": "Door Handle 3D Pose Estimation",
   "zh": "门把手三维位姿估计",
   "level": "l3"
  },
  "CAP_3475fb50": {
   "en": "Depth-to-World Coordinate Projection",
   "zh": "深度到世界坐标投影",
   "level": "l3"
  },
  "CAP_64797af3": {
   "en": "Door Point Cloud Geometric Analysis",
   "zh": "门点云几何分析",
   "level": "l2"
  },
  "CAP_19f7e2e6": {
   "en": "6D Coloured Point Cloud Door Detection",
   "zh": "六维彩色点云门检测",
   "level": "l3"
  },
  "CAP_25bc5cb7": {
   "en": "Door Panel Region Growing Segmentation",
   "zh": "门面板区域生长分割",
   "level": "l3"
  },
  "CAP_3e7f32f9": {
   "en": "Geometric Door State Classification",
   "zh": "几何门状态分类",
   "level": "l3"
  },
  "CAP_ae068ce8": {
   "en": "Door Opening Angle Estimation",
   "zh": "门开合角度估计",
   "level": "l3"
  },
  "CAP_96035db2": {
   "en": "LiDAR Door Keypoint Regression",
   "zh": "激光门关键点回归",
   "level": "l3"
  },
  "CAP_efe8241d": {
   "en": "Multimodal Door State Perception and Operability Assessment",
   "zh": "多模态门状态感知与可操作性评估",
   "level": "l2"
  },
  "CAP_2b802bfc": {
   "en": "Multi-Modal Door Sensing Acquisition",
   "zh": "多模态门感知采集",
   "level": "l3"
  },
  "CAP_8c69c4e7": {
   "en": "Visual-Tactile Grasp Point Correction",
   "zh": "视觉-触觉抓取点修正",
   "level": "l3"
  },
  "CAP_ef2f147b": {
   "en": "Multi-Modal Door State and Type Classification",
   "zh": "多模态门状态与类型分类",
   "level": "l3"
  },
  "CAP_1220495b": {
   "en": "Force-Torque Door Type and Lock Detection",
   "zh": "基于力扭矩的门型与锁检测",
   "level": "l3"
  },
  "CAP_f3d47cee": {
   "en": "Multi-Contact Door Opening Path Planning",
   "zh": "多接触开门路径规划",
   "level": "l3"
  },
  "CAP_097842ce": {
   "en": "Symbolic ID Total Effect Identification",
   "zh": "符号ID算法总效应识别",
   "level": "l2"
  },
  "CAP_ba3d5958": {
   "en": "Causal DAG C-Component Decomposition",
   "zh": "因果图C分量分解",
   "level": "l3"
  },
  "CAP_6d7e96c6": {
   "en": "Expression Simplification via d-Separation",
   "zh": "基于d-分离的表达式化简",
   "level": "l3"
  },
  "CAP_cfbb0982": {
   "en": "Adjustment Set Computation",
   "zh": "调整集准则计算",
   "level": "l2"
  },
  "CAP_890b34e1": {
   "en": "Adjustment Set Validity Verification",
   "zh": "调整集有效性验证",
   "level": "l3"
  },
  "CAP_6ecef471": {
   "en": "Adjustment Formula Generation",
   "zh": "调整公式生成",
   "level": "l3"
  },
  "CAP_264dd5d8": {
   "en": "Transportability and Selection Bias Recovery",
   "zh": "可移植性与选择偏倚恢复",
   "level": "l2"
  },
  "CAP_b2c48795": {
   "en": "Selection Diagram Construction",
   "zh": "选择图构造",
   "level": "l3"
  },
  "CAP_4a345329": {
   "en": "Transported Effect Expression Derivation",
   "zh": "跨域效应表达式推导",
   "level": "l3"
  },
  "CAP_92b20d14": {
   "en": "Estimand-to-Estimator Mapping",
   "zh": "估计量到估计器映射",
   "level": "l3"
  },
  "CAP_03ec482f": {
   "en": "World Model State Encoding",
   "zh": "世界模型状态编码",
   "level": "l3"
  },
  "CAP_93cf5607": {
   "en": "VQ Image Discretization",
   "zh": "VQ 图像离散化",
   "level": "l3"
  },
  "CAP_2f4abf68": {
   "en": "Diffusion Imagination Actor-Critic Training",
   "zh": "扩散想象轨迹上 REINFORCE Actor-Critic 训练",
   "level": "l3"
  },
  "CAP_6260a4e4": {
   "en": "ROS2 Control Hardware Plugin Lifecycle",
   "zh": "ROS2 控制硬件组件插件生命周期管理",
   "level": "l2"
  },
  "CAP_44d67cbb": {
   "en": "Cyber RT Component Plugin DAG Loading",
   "zh": "Cyber RT 组件插件 DAG 加载",
   "level": "l2"
  },
  "CAP_5062c692": {
   "en": "Cyber RT Component Registration",
   "zh": "Cyber RT 组件注册",
   "level": "l3"
  },
  "CAP_d54bc687": {
   "en": "ClassLoader DAG Library Loading",
   "zh": "ClassLoader DAG 库加载",
   "level": "l3"
  },
  "CAP_8adfd643": {
   "en": "Component Instantiate and Initialize",
   "zh": "组件实例化与初始化",
   "level": "l3"
  },
  "CAP_adaa288f": {
   "en": "DAG Topology Configuration",
   "zh": "DAG 拓扑配置",
   "level": "l3"
  },
  "CAP_676dc940": {
   "en": "Cyber RT Coroutine Scheduler Task",
   "zh": "协程调度任务",
   "level": "l3"
  },
  "CAP_cb5155b5": {
   "en": "OS Event-Driven Device Hotplug Bridge",
   "zh": "OS 事件驱动设备热插拔检测与驱动桥接",
   "level": "l2"
  },
  "CAP_25bee523": {
   "en": "Kernel Uevent Generation via kobject Uevent",
   "zh": "内核 Uevent 生成与 kobject_uevent 触发",
   "level": "l3"
  },
  "CAP_4c87df93": {
   "en": "udevd Rule-Based Device Node Management",
   "zh": "udevd 规则驱动的设备节点管理",
   "level": "l3"
  },
  "CAP_2ec714c0": {
   "en": "libudev Monitor-Based Device Event Detection",
   "zh": "libudev Monitor 设备事件监听",
   "level": "l3"
  },
  "CAP_c419a231": {
   "en": "libudev Device Enumeration and Attribute Query",
   "zh": "libudev 设备枚举与 Sysfs 属性查询",
   "level": "l3"
  },
  "CAP_fa751b97": {
   "en": "Device Hotplug to Driver Plugin Bridge",
   "zh": "设备热插拔事件到驱动插件生命周期桥接",
   "level": "l3"
  },
  "CAP_f63459dd": {
   "en": "Mock Hardware Behavior Parameterization",
   "zh": "Mock 硬件行为参数化",
   "level": "l3"
  },
  "CAP_aeba5603": {
   "en": "Multi-Process Test Assertion",
   "zh": "多进程测试断言",
   "level": "l3"
  },
  "CAP_b6d855ed": {
   "en": "Mock SIL Test Environment Setup",
   "zh": "Mock SIL 测试环境搭建",
   "level": "l2"
  },
  "CAP_e47cc3bb": {
   "en": "Mock Hardware Plugin Loading",
   "zh": "伪硬件插件加载",
   "level": "l3"
  },
  "CAP_0a078960": {
   "en": "Test Fixture Initialization",
   "zh": "测试夹具初始化",
   "level": "l3"
  },
  "CAP_9b5da2ae09": {
   "en": "Launch Testing Execution",
   "zh": "Launch 测试执行",
   "level": "l2"
  },
  "CAP_553625e5": {
   "en": "Test Scenario Execution",
   "zh": "测试场景执行",
   "level": "l3"
  },
  "CAP_a122cc2b": {
   "en": "Controller Behavior Assertion",
   "zh": "控制器行为断言",
   "level": "l3"
  },
  "CAP_7f82e616": {
   "en": "SITL Sensor Data Injection",
   "zh": "SITL传感器数据注入",
   "level": "l3"
  },
  "CAP_2d670f5e": {
   "en": "Virtual Commissioning Driver Testing",
   "zh": "虚拟调试驱动测试",
   "level": "l3"
  },
  "CAP_1ecf1710": {
   "en": "Virtual Commissioning Test Execution",
   "zh": "虚拟调试测试执行",
   "level": "l3"
  },
  "CAP_422123e4": {
   "en": "VC Signal Handshake Verification",
   "zh": "VC信号握手验证",
   "level": "l3"
  },
  "CAP_cf5c7833": {
   "en": "Virtual Controller and Digital Twin Environment Setup",
   "zh": "虚拟控制器与数字孪生环境搭建",
   "level": "l2"
  },
  "CAP_2f99852c": {
   "en": "Virtual Controller Initialization",
   "zh": "虚拟控制器初始化",
   "level": "l3"
  },
  "CAP_a43d22e4": {
   "en": "Digital Twin Model Loading",
   "zh": "数字孪生模型加载",
   "level": "l3"
  },
  "CAP_9652e392": {
   "en": "Communication Link Establishment",
   "zh": "通信链路建立",
   "level": "l3"
  },
  "CAP_49de4321": {
   "en": "Test Scenario Definition and Injection",
   "zh": "测试场景定义与注入",
   "level": "l2"
  },
  "CAP_e8c7353c": {
   "en": "Test Scenario Authoring",
   "zh": "测试场景编写",
   "level": "l3"
  },
  "CAP_d1f4ae75": {
   "en": "Scenario Injection",
   "zh": "场景注入",
   "level": "l3"
  },
  "CAP_06b91e3d": {
   "en": "Execution and Verification",
   "zh": "执行与验证",
   "level": "l2"
  },
  "CAP_0679440b": {
   "en": "Behavior Assertion",
   "zh": "行为断言",
   "level": "l3"
  },
  "CAP_dee8316f": {
   "en": "Result Logging and Reporting",
   "zh": "结果记录与报告",
   "level": "l3"
  },
  "CAP_b9eadf4f": {
   "en": "OTel Collector Receiver Ingestion",
   "zh": "OTel Collector 接收器接入",
   "level": "l3"
  },
  "CAP_03743439": {
   "en": "OTel Collector Metric Processor Pipeline",
   "zh": "OTel Collector 指标处理器管道",
   "level": "l3"
  },
  "CAP_8a4cb240": {
   "en": "StatsD Metrics & Alerting",
   "zh": "StatsD 指标与告警",
   "level": "l3"
  },
  "CAP_3a2b4645": {
   "en": "ROS2 Message Log",
   "zh": "ROS2 消息日志记录",
   "level": "l3"
  },
  "CAP_c64bc0bc": {
   "en": "Training Data Orchestration & Quality Pipeline",
   "zh": "训练数据编排与质量管道",
   "level": "l2"
  },
  "CAP_a330aafe": {
   "en": "Asset Materialization Tracking",
   "zh": "资产物化追踪",
   "level": "l3"
  },
  "CAP_bb507ed7": {
   "en": "Dagster Partitioned Asset Backfill",
   "zh": "Dagster 分区资产与回填",
   "level": "l3"
  },
  "CAP_d723818b": {
   "en": "Distributed Constraint Verification",
   "zh": "分布式约束验证",
   "level": "l3"
  },
  "CAP_267b9210": {
   "en": "DataFrame Schema Inline Validation",
   "zh": "DataFrame Schema 内联验证",
   "level": "l3"
  },
  "CAP_d895c5b2": {
   "en": "Closed-Chain Synchronized Joint Dispatch",
   "zh": "闭链同步关节轨迹下发",
   "level": "l3"
  },
  "CAP_581b4464": {
   "en": "Closed-Chain Constraint Manifold Projection",
   "zh": "闭链约束流形投影规划",
   "level": "l3"
  },
  "CAP_26818933": {
   "en": "Dual-Arm Collision-Aware Trajectory Planning",
   "zh": "双臂避障联合轨迹规划",
   "level": "l2"
  },
  "CAP_8745ec5e": {
   "en": "Dual-Arm Independent Target Parsing",
   "zh": "双臂独立目标解析",
   "level": "l3"
  },
  "CAP_95443ad3": {
   "en": "Shared Configuration Space Modeling",
   "zh": "双臂共享构型空间建模",
   "level": "l3"
  },
  "CAP_5ba34e57": {
   "en": "Bimanual Collision and Singularity Avoidance",
   "zh": "双臂碰撞奇异规避",
   "level": "l3"
  },
  "CAP_8dcedcce": {
   "en": "Dual-Arm Time Synchronized Parameterization",
   "zh": "双臂时间同步参数化",
   "level": "l3"
  },
  "CAP_70188e6b": {
   "en": "Dual-Arm Collision-Free Trajectory Dispatch",
   "zh": "双臂无碰撞轨迹下发",
   "level": "l3"
  },
  "CAP_107df872": {
   "en": "Leader-Follower Asymmetric Coordination",
   "zh": "主从非对称协调",
   "level": "l2"
  },
  "CAP_90dbc30b": {
   "en": "Coordination Transform Modeling",
   "zh": "协调变换建模",
   "level": "l3"
  },
  "CAP_66949814": {
   "en": "Kinematic Isomorphic Joint Copy Mapping",
   "zh": "运动学同构关节拷贝映射",
   "level": "l3"
  },
  "CAP_9e1b5c78": {
   "en": "Leader-Follower Teleoperation Trajectory Acquisition",
   "zh": "主从遥操作实时轨迹采集",
   "level": "l3"
  },
  "CAP_3cd6848e": {
   "en": "Follower Transform Tracking",
   "zh": "从臂变换跟踪",
   "level": "l3"
  },
  "CAP_6f718e1e": {
   "en": "Bimanual Coordination Mode Assembly",
   "zh": "双臂协调模式组装",
   "level": "l3"
  },
  "CAP_71005339": {
   "en": "Leader-Follower Synchronized Execution",
   "zh": "主从同步执行",
   "level": "l3"
  },
  "CAP_7da0beb6": {
   "en": "Learning-Based Bimanual Coordination Policy",
   "zh": "学习型双臂协调策略",
   "level": "l2"
  },
  "CAP_60e204f8": {
   "en": "Bimanual Action Space Construction",
   "zh": "双臂动作空间构造",
   "level": "l3"
  },
  "CAP_ab080db5": {
   "en": "Temporal Video Alignment Pretext",
   "zh": "时序视频对齐前置",
   "level": "l3"
  },
  "CAP_d17060b6": {
   "en": "Demo Frame Extraction",
   "zh": "演示帧提取",
   "level": "l3"
  },
  "CAP_013f71e8": {
   "en": "Semantic Event Chain Parsing",
   "zh": "语义事件链解析",
   "level": "l3"
  },
  "CAP_9550079d": {
   "en": "Demonstration Duration Distribution Fitting",
   "zh": "演示时长分布拟合",
   "level": "l3"
  },
  "CAP_a71861fe": {
   "en": "UPF Multi-Engine Temporal Planning",
   "zh": "UPF 多引擎时序规划",
   "level": "l2"
  },
  "CAP_33e2a814": {
   "en": "LLM Task Progress and Elapsed-Time Tracking",
   "zh": "LLM 任务进度与已用时间跟踪",
   "level": "l2"
  },
  "CAP_0ac7fca8": {
   "en": "PDDL Requirements and Fluent Declaration",
   "zh": "PDDL 需求与 fluent 声明",
   "level": "l3"
  },
  "CAP_4e138832": {
   "en": "Durative Action Block Authoring",
   "zh": "durative-action 块编写",
   "level": "l3"
  },
  "CAP_ccddf0ef": {
   "en": "Duration Source Decision",
   "zh": "时长来源决策",
   "level": "l3"
  },
  "CAP_7ffd6e92": {
   "en": "Learned Durative Action Duration Estimation",
   "zh": "学习式持续动作时长估计",
   "level": "l3"
  },
  "CAP_673a6140": {
   "en": "Constant Interval Duration Specification",
   "zh": "常量/区间时长指定",
   "level": "l3"
  },
  "CAP_7a18893b": {
   "en": "Problem PDDL Instantiation",
   "zh": "problem.pddl 实例化",
   "level": "l3"
  },
  "CAP_e1b3dc20": {
   "en": "POPF Fast Downward Temporal Solve",
   "zh": "POPF/FD 离散时序求解",
   "level": "l3"
  },
  "CAP_be2c876a": {
   "en": "Temporal Plan VAL Verification",
   "zh": "temporal plan VAL 验证",
   "level": "l3"
  },
  "CAP_310c95e4": {
   "en": "OPTIC ENHSP Numeric Solve",
   "zh": "OPTIC/ENHSP 数值时序求解",
   "level": "l3"
  },
  "CAP_b5ebe446": {
   "en": "UPF Engine Dispatch and Executor",
   "zh": "UPF 引擎派发与执行器",
   "level": "l3"
  },
  "CAP_940127a9": {
   "en": "Temporal Engine Selection",
   "zh": "时序引擎选择",
   "level": "l3"
  },
  "CAP_b37fb797": {
   "en": "LLM Subtask Decomposition with Time Budget",
   "zh": "带时间预算的 LLM 子任务分解",
   "level": "l3"
  },
  "CAP_e4b7ec59": {
   "en": "Alternative Skill Selection or Clarification",
   "zh": "替代技能选择或澄清",
   "level": "l3"
  },
  "CAP_66e5339c": {
   "en": "LLM Per-Subtask Duration Estimation",
   "zh": "LLM 逐子任务时长估计",
   "level": "l3"
  },
  "CAP_dbbd9400": {
   "en": "Schedule by LLM Duration Estimate",
   "zh": "按 LLM 时长排入计划",
   "level": "l3"
  },
  "CAP_56ba55af": {
   "en": "Execution Progress and Elapsed-Time Tracking",
   "zh": "执行进度与已用时间跟踪",
   "level": "l3"
  },
  "CAP_40d06138": {
   "en": "Affordance Time-Cost Gate",
   "zh": "affordance 时间代价闸门",
   "level": "l3"
  },
  "CAP_b3843bd5": {
   "en": "LLM Duration Estimate Calibration",
   "zh": "LLM 时长估计校准",
   "level": "l3"
  },
  "CAP_55fba651": {
   "en": "Bridge to Symbolic Planner",
   "zh": "桥接符号规划器",
   "level": "l3"
  },
  "CAP_409dc231": {
   "en": "Voyager Skill Library Commit",
   "zh": "Voyager 技能库提交",
   "level": "l3"
  },
  "CAP_255910c5": {
   "en": "Eureka Duration Penalty Reward",
   "zh": "Eureka 时长惩罚奖励",
   "level": "l3"
  },
  "CAP_a85318d0": {
   "en": "Classic DWA Algorithm Planning",
   "zh": "经典DWA算法规划",
   "level": "l2"
  },
  "CAP_11ef2a58": {
   "en": "Dynamic Window Velocity Space Constriction",
   "zh": "动态窗口速度空间约束",
   "level": "l3"
  },
  "CAP_1ecc0285": {
   "en": "Admissible Velocity Braking Filter",
   "zh": "容许速度制动过滤",
   "level": "l3"
  },
  "CAP_6ed29690": {
   "en": "DWA Objective Function Scoring",
   "zh": "DWA目标函数评分",
   "level": "l3"
  },
  "CAP_b4be8ada": {
   "en": "Optimal Velocity Selection And Output",
   "zh": "最优速度选择与输出",
   "level": "l3"
  },
  "CAP_caf9527b": {
   "en": "ROS1 DWA Local Planner Engineering",
   "zh": "ROS1 DWA局部规划器工程化",
   "level": "l2"
  },
  "CAP_6d771ea8": {
   "en": "ROS1 DWA Planner Init And Costmap Binding",
   "zh": "DWAPlannerROS初始化与代价地图绑定",
   "level": "l3"
  },
  "CAP_7dab06b0": {
   "en": "ROS1 DWA Path Goal Obstacle Scoring",
   "zh": "ROS1轨迹代价评分",
   "level": "l3"
  },
  "CAP_1b9472fd": {
   "en": "ROS1 DWA Oscillation Prevention",
   "zh": "振荡标记与复位预防",
   "level": "l3"
  },
  "CAP_06651ff0": {
   "en": "DWB Lifecycle Activation And Configuration",
   "zh": "DWBLocalPlanner Nav2生命周期激活与参数配置",
   "level": "l3"
  },
  "CAP_9905c19e": {
   "en": "DWB Critic Scoring Pipeline",
   "zh": "DWB Critic插件评分管线",
   "level": "l3"
  },
  "CAP_468fa069": {
   "en": "DWB Short Circuit Trajectory Evaluation",
   "zh": "短路评估与最优轨迹选择",
   "level": "l3"
  },
  "CAP_0df8e0cc": {
   "en": "DWB Velocity Space Trajectory Sampling",
   "zh": "DWB速度空间轨迹采样",
   "level": "l3"
  },
  "CAP_b25acf23": {
   "en": "Gaussian Process Probabilistic Dynamics Learning",
   "zh": "高斯过程概率动力学学习",
   "level": "l2"
  },
  "CAP_4bffbbe8": {
   "en": "Neural Network Forward Dynamics Learning",
   "zh": "神经网络前向动力学学习",
   "level": "l2"
  },
  "CAP_2b58e2ce": {
   "en": "Physics Structured Dynamics Learning",
   "zh": "物理结构化动力学学习",
   "level": "l2"
  },
  "CAP_fae618e9": {
   "en": "Relational Graph Network Dynamics Learning",
   "zh": "关系图网络动力学学习",
   "level": "l2"
  },
  "CAP_03a92c38": {
   "en": "Physics-informed Lagrangian Dynamics Learning",
   "zh": "物理先验拉格朗日动力学学习",
   "level": "l3"
  },
  "CAP_4fa206a9": {
   "en": "Graph Neural Network Interaction",
   "zh": "图神经网络交互建模",
   "level": "l3"
  },
  "CAP_f9596a04": {
   "en": "Moment Matching Multi-step GP Prediction",
   "zh": "矩匹配多步 GP 预测",
   "level": "l3"
  },
  "CAP_97456266": {
   "en": "Neural Forward Dynamics Training",
   "zh": "神经网络前向动力学训练",
   "level": "l3"
  },
  "CAP_3cb059f2": {
   "en": "Neural Multi-step Rollout Evaluation",
   "zh": "神经网络多步 rollout 评估",
   "level": "l3"
  },
  "CAP_42c5baf1": {
   "en": "Hamiltonian Dynamics Learning",
   "zh": "哈密顿动力学学习",
   "level": "l3"
  },
  "CAP_904a95ce": {
   "en": "GNS Multi-step Rollout Noise Injection",
   "zh": "GNS 多步 rollout 噪声注入",
   "level": "l3"
  },
  "CAP_bb03e257": {
   "en": "Contact Geometry And Signed Distance Learning",
   "zh": "接触几何与符号距离学习",
   "level": "l3"
  },
  "CAP_9fec5c1f": {
   "en": "Contact State Geometry Perception",
   "zh": "接触状态几何感知",
   "level": "l2"
  },
  "CAP_d5edfee5": {
   "en": "Analytical Contact Prior Modeling",
   "zh": "解析接触先验建模",
   "level": "l2"
  },
  "CAP_fd22a9cb": {
   "en": "Residual Dynamics Network Training",
   "zh": "残差动力学网络训练",
   "level": "l3"
  },
  "CAP_f96e9146": {
   "en": "Lagrangian Dynamics Network Construction",
   "zh": "拉格朗日动力学网络构建",
   "level": "l3"
  },
  "CAP_8441a08a": {
   "en": "Residual And Structured Dynamics Learning",
   "zh": "残差与结构化动力学学习",
   "level": "l2"
  },
  "CAP_a1f16be6": {
   "en": "PINN Model Validation and Uncertainty Quantification",
   "zh": "PINN模型验证与不确定性量化",
   "level": "l3"
  },
  "CAP_60ba75c5": {
   "en": "Ensemble Dynamics Model Learning",
   "zh": "集成动力学模型学习",
   "level": "l3"
  },
  "CAP_ff70ed40": {
   "en": "Forward Prediction Uncertainty Quantification",
   "zh": "前向预测与不确定性量化",
   "level": "l2"
  },
  "CAP_0d6dfbfb": {
   "en": "Multi-Agent Future State Prediction for Driving Scenes",
   "zh": "驾驶场景多智能体未来状态预测",
   "level": "l3"
  },
  "CAP_091a7e5f": {
   "en": "Scene Vectorized Encoding",
   "zh": "场景向量化编码",
   "level": "l2"
  },
  "CAP_9713ed84": {
   "en": "Spatio-Temporal Transformer",
   "zh": "时空Transformer",
   "level": "l2"
  },
  "CAP_01a3647c": {
   "en": "Autoregressive Traffic Scenario Generation",
   "zh": "自回归交通场景生成",
   "level": "l3"
  },
  "CAP_dec97896": {
   "en": "Trajectory And Scene Decoding",
   "zh": "轨迹与场景解码",
   "level": "l2"
  },
  "CAP_ce1fcde9": {
   "en": "Structured Traffic Constraint Conditioning",
   "zh": "结构化交通约束条件注入",
   "level": "l3"
  },
  "CAP_0a244d76": {
   "en": "Scene Evolution Rollout",
   "zh": "场景演化展开",
   "level": "l2"
  },
  "CAP_c682af68": {
   "en": "Scenario Diversification And Data Augmentation",
   "zh": "场景多样化解与数据增强",
   "level": "l3"
  },
  "CAP_7628b569": {
   "en": "Scenario Diversification Enhancement",
   "zh": "场景多样性增强",
   "level": "l2"
  },
  "CAP_e25e3434": {
   "en": "Autoregressive Scene Layout Generation",
   "zh": "自回归场景布局生成",
   "level": "l2"
  },
  "CAP_cba1580a": {
   "en": "State Estimation And Terrain Perception",
   "zh": "状态估计与地形感知",
   "level": "l2"
  },
  "CAP_8b09591e": {
   "en": "Rigid Body Dynamics Modeling",
   "zh": "刚体动力学建模",
   "level": "l2"
  },
  "CAP_53c18b5d": {
   "en": "Pinocchio Rigid Body Dynamics Computation",
   "zh": "Pinocchio刚体动力学计算",
   "level": "l3"
  },
  "CAP_5f4e3f6b": {
   "en": "Contact Sequence And Gait Scheduling",
   "zh": "接触序列与步态调度",
   "level": "l2"
  },
  "CAP_93bc54f5": {
   "en": "Quadruped Locomotion Control",
   "zh": "四足运动控制",
   "level": "l2"
  },
  "CAP_e5ceaa42": {
   "en": "Real-Time Convex MPC for Quadruped Locomotion",
   "zh": "四足实时凸模型预测控制",
   "level": "l3"
  },
  "CAP_80ed8bd6": {
   "en": "Whole-Body Control for Legged Robots",
   "zh": "足式机器人全身控制",
   "level": "l3"
  },
  "CAP_a2591576": {
   "en": "Legged Robot Parameter Identification",
   "zh": "足式机器人参数辨识",
   "level": "l2"
  },
  "CAP_641210b2": {
   "en": "Centroidal Momentum MPC Pipeline",
   "zh": "质心动量MPC流程",
   "level": "l3"
  },
  "CAP_07a1312d": {
   "en": "Elevation-Map TO MPC Terrain Adaptation",
   "zh": "高程图到MPC地形自适应",
   "level": "l3"
  },
  "CAP_92081339": {
   "en": "SST Kinodynamic Planning With Uncertainty Bias",
   "zh": "带不确定性偏置的SST运动学动力学规划",
   "level": "l3"
  },
  "CAP_ef6a783c": {
   "en": "Map And Agent Vectorization Encoding",
   "zh": "地图与智能体向量化编码",
   "level": "l3"
  },
  "CAP_61af9a41": {
   "en": "Spatio-Temporal Interaction Attention",
   "zh": "时空交互注意力",
   "level": "l3"
  },
  "CAP_91b48427": {
   "en": "State Estimation And Terrain Perception Execution",
   "zh": "状态估计与地形感知执行",
   "level": "l3"
  },
  "CAP_ae2430fc": {
   "en": "Contact Sequence And Gait Scheduling Execution",
   "zh": "接触序列与步态调度执行",
   "level": "l3"
  },
  "CAP_fb21d0bb": {
   "en": "Multi-Step Scene Rollout",
   "zh": "多步场景演化展开",
   "level": "l3"
  },
  "CAP_8d090cf1": {
   "en": "Dynamic Agent Scaling",
   "zh": "动态智能体扩缩",
   "level": "l2"
  },
  "CAP_59495b36": {
   "en": "Task Decomposition For Worker Dispatch",
   "zh": "面向派发的任务分解",
   "level": "l3"
  },
  "CAP_ee9636ed": {
   "en": "Runtime Worker Agent Instantiation",
   "zh": "运行时Worker Agent实例化",
   "level": "l3"
  },
  "CAP_137d3c0e": {
   "en": "Parallel Agent Execution Coordination",
   "zh": "并行Agent执行协调",
   "level": "l3"
  },
  "CAP_b9e3027c": {
   "en": "Worker Result Aggregation",
   "zh": "Worker结果归并",
   "level": "l3"
  },
  "CAP_30abcc21": {
   "en": "Agent Contribution Evaluation",
   "zh": "Agent贡献度评估",
   "level": "l3"
  },
  "CAP_dc6388fb": {
   "en": "Underperforming Agent Deactivation",
   "zh": "低效Agent停用",
   "level": "l3"
  },
  "CAP_30bbd654": {
   "en": "Dynamic Expert Recruitment",
   "zh": "动态专家招募",
   "level": "l3"
  },
  "CAP_fcf03d93": {
   "en": "Team Composition Optimization",
   "zh": "团队构成优化",
   "level": "l3"
  },
  "CAP_2fda349e": {
   "en": "Agent Workload Metric Collection",
   "zh": "Agent负载指标采集",
   "level": "l3"
  },
  "CAP_72b1f27c": {
   "en": "Replica Count Computation",
   "zh": "副本数计算",
   "level": "l3"
  },
  "CAP_99922048": {
   "en": "Agent Replica Scale Out",
   "zh": "Agent副本扩容",
   "level": "l3"
  },
  "CAP_fb511b7b": {
   "en": "Agent Replica Scale In",
   "zh": "Agent副本缩容",
   "level": "l3"
  },
  "CAP_5a3e830d": {
   "en": "Environment Context Collection and ABAC Input Construction",
   "zh": "环境上下文采集与ABAC输入构造",
   "level": "l2"
  },
  "CAP_25b3c7db": {
   "en": "Environment Context Attribute Collection",
   "zh": "环境上下文属性采集",
   "level": "l3"
  },
  "CAP_01f43e7b": {
   "en": "Authorization Policy Dynamic Hot-Update",
   "zh": "授权策略动态热更新",
   "level": "l3"
  },
  "CAP_7a570883": {
   "en": "XACML Policy Authoring and Deployment",
   "zh": "XACML策略编写与部署",
   "level": "l3"
  },
  "CAP_3b655958": {
   "en": "Environment Attribute PIP Retrieval",
   "zh": "环境属性PIP检索",
   "level": "l3"
  },
  "CAP_49ef7b17": {
   "en": "Mode-Aware Authorization Policy Mapping",
   "zh": "模式感知授权策略映射",
   "level": "l3"
  },
  "CAP_dea5b1a2": {
   "en": "SROS2 Policy Generation and Governance",
   "zh": "SROS2策略生成与治理",
   "level": "l2"
  },
  "CAP_13802ef6": {
   "en": "SROS2 Policy XML Authoring",
   "zh": "SROS2策略XML编写",
   "level": "l3"
  },
  "CAP_9b412726": {
   "en": "Tip-Over Stability Prevention",
   "zh": "轮式移动操作臂倾翻稳定性预防",
   "level": "l2"
  },
  "CAP_0a8cb505": {
   "en": "Rigid Body CoM Inertia Computation",
   "zh": "浮动基刚体质心与惯性力在线计算",
   "level": "l3"
  },
  "CAP_60e68db9": {
   "en": "Tip-Over Margin with Manipulation Disturbance",
   "zh": "含操作扰动的倾翻稳定裕度计算",
   "level": "l3"
  },
  "CAP_dc1b6851": {
   "en": "Tip-Over Risk Gating",
   "zh": "倾翻风险门控",
   "level": "l3"
  },
  "CAP_9191b831": {
   "en": "Base-Arm Configuration Co-Adjustment",
   "zh": "底盘-臂构型联合调整维持稳定裕度",
   "level": "l3"
  },
  "CAP_764cdf9f": {
   "en": "Reactive WBC Balance During Manipulation",
   "zh": "操作时反应式全身平衡维持",
   "level": "l2"
  },
  "CAP_89878748": {
   "en": "Manipulation-Induced Disturbance Estimation",
   "zh": "操作臂运动诱导扰动在线估计",
   "level": "l3"
  },
  "CAP_68c0370f": {
   "en": "Balance Task Priority Configuration",
   "zh": "平衡任务最高优先级配置",
   "level": "l3"
  },
  "CAP_1bd9ecf4": {
   "en": "Manipulation-Aware Balance Gating",
   "zh": "操作感知平衡门控",
   "level": "l3"
  },
  "CAP_9475f06d": {
   "en": "Predictive Centroidal Balance During Manipulation",
   "zh": "操作时预测式质心平衡维持",
   "level": "l2"
  },
  "CAP_e3391ffa": {
   "en": "Manipulation-Aware Horizon Planning",
   "zh": "操作感知 horizon 规划",
   "level": "l3"
  },
  "CAP_4afc6613": {
   "en": "Centroidal Momentum Prediction with Manipulation",
   "zh": "含操作扰动的质心动量预测",
   "level": "l3"
  },
  "CAP_8825fd83": {
   "en": "Predictive Balance Feedforward Execution",
   "zh": "预测式平衡前馈执行",
   "level": "l3"
  },
  "CAP_265e9a12": {
   "en": "Learning-Based Balance During Manipulation",
   "zh": "操作时学习式平衡策略",
   "level": "l2"
  },
  "CAP_5537a5ae": {
   "en": "Manipulation Disturbance Curriculum Training",
   "zh": "操作臂运动扰动课程训练",
   "level": "l3"
  },
  "CAP_ff82d2e6": {
   "en": "Arm-Aware Balance Policy Inference",
   "zh": "臂感知平衡策略推理",
   "level": "l3"
  },
  "CAP_f96e3d12": {
   "en": "Stability Margin Calculation",
   "zh": "稳定裕度计算",
   "level": "l3"
  },
  "CAP_b6f63f15": {
   "en": "Floating-Base Hierarchical TSID WBC Pipeline",
   "zh": "浮动基座层级 TSID 全身控制管线",
   "level": "l3"
  },
  "CAP_c5e84d54": {
   "en": "Manipulation Wrench Balance Compensation",
   "zh": "操作力平衡补偿",
   "level": "l3"
  },
  "CAP_3bc194f7": {
   "en": "Whole Body Admittance Execution",
   "zh": "全身导纳执行",
   "level": "l3"
  },
  "CAP_5bb2c750": {
   "en": "Learning-Based Whole-Body Loco-Manipulation Tracking Pipeline",
   "zh": "学习式全身 loco-manipulation 跟踪管线",
   "level": "l3"
  },
  "CAP_90174de9": {
   "en": "RL Sim-to-Real Transfer",
   "zh": "RL 仿真到真实转移",
   "level": "l3"
  },
  "CAP_5d9b500a": {
   "en": "Zero-Shot Recovery Deployment",
   "zh": "零样本恢复部署",
   "level": "l3"
  },
  "CAP_1e023080": {
   "en": "Dynamic Object Perception and Trajectory Prediction",
   "zh": "运动物体感知与轨迹预测",
   "level": "l2"
  },
  "CAP_34648deb": {
   "en": "Moving Object Visual Tracking",
   "zh": "运动物体视觉跟踪",
   "level": "l3"
  },
  "CAP_a1b2c3d4e5f2": {
   "en": "Ballistic Trajectory Prediction",
   "zh": "弹道轨迹预测",
   "level": "l3"
  },
  "CAP_0bf8e50e": {
   "en": "Interception Trajectory Optimization",
   "zh": "拦截轨迹优化",
   "level": "l2"
  },
  "CAP_fbbf888f": {
   "en": "Interception Point Selection",
   "zh": "拦截点选择",
   "level": "l3"
  },
  "CAP_cc87ef90": {
   "en": "Optimal Catching Trajectory Generation",
   "zh": "最优抓取轨迹生成",
   "level": "l3"
  },
  "CAP_891e7b8a": {
   "en": "Impact-Aware Compliant Execution",
   "zh": "冲击感知柔顺执行",
   "level": "l2"
  },
  "CAP_951b6591": {
   "en": "Velocity-Matching Reaching",
   "zh": "速度匹配到达",
   "level": "l3"
  },
  "CAP_eb90880d": {
   "en": "Impedance Impact Absorption",
   "zh": "阻抗冲击吸收",
   "level": "l3"
  },
  "CAP_c745c513": {
   "en": "Sim-Based Catching Policy Training",
   "zh": "仿真抓取策略训练",
   "level": "l2"
  },
  "CAP_442564b7": {
   "en": "Catch Policy Reinforcement Learning",
   "zh": "抓取策略强化学习",
   "level": "l3"
  },
  "CAP_a0909218": {
   "en": "Sim2Real Catching Deployment",
   "zh": "sim2real 抓取部署",
   "level": "l2"
  },
  "CAP_addc3cb5": {
   "en": "Learned Object State Estimation",
   "zh": "学习式物体状态估计",
   "level": "l3"
  },
  "CAP_2a4dfb2c": {
   "en": "Whole-Body Catching Policy Inference",
   "zh": "全身抓取策略推理",
   "level": "l3"
  },
  "CAP_213bc1b6": {
   "en": "Event-Based Asynchronous Perception",
   "zh": "事件异步感知",
   "level": "l2"
  },
  "CAP_cff37124": {
   "en": "Event Stream Encoding",
   "zh": "事件流编码",
   "level": "l3"
  },
  "CAP_7e501f66": {
   "en": "Event-Based Object Tracking",
   "zh": "事件式物体跟踪",
   "level": "l3"
  },
  "CAP_f0dcc695": {
   "en": "High-Speed Interception Control",
   "zh": "高速拦截控制",
   "level": "l2"
  },
  "CAP_7b8ae29d": {
   "en": "Event-Driven Impact Point Inference",
   "zh": "事件驱动落点推理",
   "level": "l3"
  },
  "CAP_d96b699e": {
   "en": "High-Rate Reactive Catching Control",
   "zh": "高频反应抓取控制",
   "level": "l3"
  },
  "CAP_95649a51": {
   "en": "Human Robot State Sensing",
   "zh": "人机运动状态感知",
   "level": "l2"
  },
  "CAP_21d70d54": {
   "en": "Protective Distance Enforcement",
   "zh": "保护距离约束与联锁",
   "level": "l2"
  },
  "CAP_acdc1209": {
   "en": "Body Position Velocity Detection",
   "zh": "人体位置与接近速度检测",
   "level": "l3"
  },
  "CAP_59e8416c": {
   "en": "Robot Velocity Braking Readout",
   "zh": "机器人速度与制动能力读取",
   "level": "l3"
  },
  "CAP_ff197628": {
   "en": "Response Time and Delta X",
   "zh": "总响应时间分解与位移变化量计算",
   "level": "l3"
  },
  "CAP_f3c02886": {
   "en": "Approach Direction Formula Branch",
   "zh": "接近方向判定与公式分支求解",
   "level": "l3"
  },
  "CAP_80fd3759": {
   "en": "Distance Compensation Factor",
   "zh": "距离补偿系数叠加",
   "level": "l3"
  },
  "CAP_3cd57855": {
   "en": "Constraint Writeback to Motion Controller",
   "zh": "保护距离约束回写运动控制器",
   "level": "l3"
  },
  "CAP_57b775c9": {
   "en": "Distance Violation Interlock",
   "zh": "距离违反检测与安全联锁",
   "level": "l3"
  },
  "CAP_12af71c7": {
   "en": "Scene Human State Perception",
   "zh": "场景与人体状态感知",
   "level": "l2"
  },
  "CAP_11a70209": {
   "en": "Social Force Computation",
   "zh": "社会力计算与合力求解",
   "level": "l2"
  },
  "CAP_aef4e088": {
   "en": "Force Integration and Distance Emergence",
   "zh": "力积分与距离涌现",
   "level": "l2"
  },
  "CAP_98901f0d": {
   "en": "Desired Velocity Goal Setting",
   "zh": "期望速度与目标方向设定",
   "level": "l3"
  },
  "CAP_cd2ff581": {
   "en": "Neighbor Human State Extraction",
   "zh": "邻域人体状态提取",
   "level": "l3"
  },
  "CAP_ed33a255": {
   "en": "Desired Velocity Acceleration Force",
   "zh": "期望速度加速力计算",
   "level": "l3"
  },
  "CAP_0aa6f4ca": {
   "en": "Velocity Scaled Repulsive Force",
   "zh": "速度标度人际排斥力计算",
   "level": "l3"
  },
  "CAP_5c6fa001": {
   "en": "Boundary Repulsive Force",
   "zh": "边界排斥力计算",
   "level": "l3"
  },
  "CAP_c45f5777": {
   "en": "Resultant Force Composition",
   "zh": "合力合成",
   "level": "l3"
  },
  "CAP_2c909145": {
   "en": "Langevin Integration",
   "zh": "Langevin 方程积分",
   "level": "l3"
  },
  "CAP_0ce5adef": {
   "en": "Distance Emergence Equilibrium",
   "zh": "距离涌现与力平衡校验",
   "level": "l3"
  },
  "CAP_f329bf39": {
   "en": "Human Robot State Encoding",
   "zh": "人机状态编码",
   "level": "l2"
  },
  "CAP_f52f2015": {
   "en": "Social Reward and Policy Optimization",
   "zh": "社交奖励与策略优化",
   "level": "l2"
  },
  "CAP_8d6a4f34": {
   "en": "Robot State Goal Encoding",
   "zh": "机器人状态与目标编码",
   "level": "l3"
  },
  "CAP_32935cc4": {
   "en": "Crowd Attention Pooling",
   "zh": "人群状态注意力池化",
   "level": "l3"
  },
  "CAP_e3efdfa8": {
   "en": "Policy Velocity Inference",
   "zh": "策略速度指令推理",
   "level": "l3"
  },
  "CAP_eff9c3c9": {
   "en": "Holonomic Velocity Execution",
   "zh": "霍尔金姆速度执行",
   "level": "l3"
  },
  "CAP_26f8b13a": {
   "en": "Maintained Distance Monitoring",
   "zh": "维持距离动态监测",
   "level": "l3"
  },
  "CAP_a496c91f": {
   "en": "Social Comfort Distance Reward",
   "zh": "社交舒适距离奖励计算",
   "level": "l3"
  },
  "CAP_d51ed20e": {
   "en": "Semantic Perception for Dynamic Localization",
   "zh": "动态环境语义感知",
   "level": "l2"
  },
  "CAP_e88c0ef7": {
   "en": "Closed-set Egocentric Semantic Segmentation",
   "zh": "封闭集第一人称语义分割",
   "level": "l3"
  },
  "CAP_b89b797f": {
   "en": "Dynamic Object Mask Extraction",
   "zh": "动态物体掩膜提取",
   "level": "l3"
  },
  "CAP_a1b3dbcb": {
   "en": "Dynamic Feature Filtering",
   "zh": "动态特征过滤",
   "level": "l2"
  },
  "CAP_dc7db043": {
   "en": "Static Region ORB Extraction",
   "zh": "静态区域ORB特征提取",
   "level": "l3"
  },
  "CAP_331f09c6": {
   "en": "Dynamic Point Removal",
   "zh": "动态点剔除",
   "level": "l3"
  },
  "CAP_fa1dbc3e": {
   "en": "Robust Pose Tracking",
   "zh": "鲁棒位姿跟踪",
   "level": "l2"
  },
  "CAP_4335b534": {
   "en": "ORB Feature Projection Tracking",
   "zh": "ORB特征投影搜索跟踪",
   "level": "l3"
  },
  "CAP_339c3515": {
   "en": "Local Map Optimization",
   "zh": "局部地图优化",
   "level": "l3"
  },
  "CAP_fc684e81": {
   "en": "6-DoF Pose Output",
   "zh": "6自由度位姿输出",
   "level": "l3"
  },
  "CAP_b654b9c1": {
   "en": "Post-processing and Output",
   "zh": "后处理与输出",
   "level": "l2"
  },
  "CAP_4babcd18": {
   "en": "Background Inpainting",
   "zh": "背景空洞填补",
   "level": "l3"
  },
  "CAP_e2848f26": {
   "en": "Semantic OctoMap Construction",
   "zh": "语义八叉树地图构建",
   "level": "l3"
  },
  "CAP_73543659": {
   "en": "LiDAR Point Cloud Preprocessing",
   "zh": "LiDAR点云预处理",
   "level": "l2"
  },
  "CAP_cbdec1b5": {
   "en": "LiDAR Scan and Motion Compensation",
   "zh": "LiDAR扫描与运动畸变校正",
   "level": "l3"
  },
  "CAP_1825c1fa": {
   "en": "Geometric Dynamic Detection",
   "zh": "几何动态检测",
   "level": "l2"
  },
  "CAP_633fb857": {
   "en": "Pseudo-occupancy Ratio Calculation",
   "zh": "伪占用比计算",
   "level": "l3"
  },
  "CAP_62501e9a": {
   "en": "Dynamic Region Classification",
   "zh": "动态区域分类",
   "level": "l3"
  },
  "CAP_6edaea38": {
   "en": "LiDAR Dynamic Point Removal",
   "zh": "LiDAR动态点去除",
   "level": "l3"
  },
  "CAP_63f20069": {
   "en": "Static LiDAR Localization",
   "zh": "静态LiDAR定位",
   "level": "l2"
  },
  "CAP_17a048aa": {
   "en": "LIO-SAM Factor Graph Optimization",
   "zh": "LIO-SAM因子图优化",
   "level": "l3"
  },
  "CAP_8dec993c": {
   "en": "Multi-session Mapping and Export",
   "zh": "多会话建图与导出",
   "level": "l2"
  },
  "CAP_8c615ecf": {
   "en": "Keyframe and Descriptor Export",
   "zh": "关键帧与描述子导出",
   "level": "l3"
  },
  "CAP_4a4d384d": {
   "en": "Cross-session Alignment",
   "zh": "跨会话对齐",
   "level": "l2"
  },
  "CAP_8c520ad9": {
   "en": "GPS-UTM Coarse Matching",
   "zh": "GPS/UTM粗匹配",
   "level": "l3"
  },
  "CAP_18a2c088": {
   "en": "ScanContext Fine Matching",
   "zh": "ScanContext精匹配",
   "level": "l3"
  },
  "CAP_26dc65c6": {
   "en": "Anchor-constrained Pose Graph Optimization",
   "zh": "锚点约束位姿图优化",
   "level": "l3"
  },
  "CAP_08a7cfa3": {
   "en": "Change Detection and Classification",
   "zh": "变化检测与分类",
   "level": "l2"
  },
  "CAP_63ccb11e": {
   "en": "Cross-session Point Cloud Difference",
   "zh": "跨会话点云差异计算",
   "level": "l3"
  },
  "CAP_3ea93c81": {
   "en": "HD/LD Change Classification",
   "zh": "HD/LD变化分类",
   "level": "l3"
  },
  "CAP_8331d2b1": {
   "en": "Fence Preflight Enable Check",
   "zh": "围栏起飞前使能检查",
   "level": "l3"
  },
  "CAP_64dec66a": {
   "en": "Flight Phase Fence Reconfiguration",
   "zh": "飞行阶段围栏重配置",
   "level": "l2"
  },
  "CAP_3a398feb": {
   "en": "Cloud Regulatory Dynamic Fence",
   "zh": "云端法规动态围栏",
   "level": "l2"
  },
  "CAP_1d6a7a5d": {
   "en": "Onboard Environment Computed Fence",
   "zh": "机载环境计算围栏",
   "level": "l2"
  },
  "CAP_39e2395d": {
   "en": "Flight Phase Fence Rule Switching",
   "zh": "飞行阶段围栏规则切换",
   "level": "l3"
  },
  "CAP_c6cbfa31": {
   "en": "Fence Plan Change Detection",
   "zh": "围栏计划变更检测",
   "level": "l3"
  },
  "CAP_7d72ae0b": {
   "en": "Dynamic Airspace Data Acquisition",
   "zh": "动态空域数据获取",
   "level": "l3"
  },
  "CAP_e93fa800": {
   "en": "Regulatory Fence Rule Synthesis",
   "zh": "法规围栏规则合成",
   "level": "l3"
  },
  "CAP_31ce3983": {
   "en": "Remote ID Compliance Enforcement",
   "zh": "Remote ID 合规执法",
   "level": "l3"
  },
  "CAP_4cfdd18c": {
   "en": "Dynamic Obstacle Fence Geometry Computation",
   "zh": "动态障碍物围栏几何计算",
   "level": "l3"
  },
  "CAP_cd7ccb79": {
   "en": "Moving Exclusion Zone Generation",
   "zh": "移动 exclusion 区生成",
   "level": "l3"
  },
  "CAP_273ec9e9": {
   "en": "Gesture Classification",
   "zh": "手势分类",
   "level": "l3"
  },
  "CAP_8cd0858b": {
   "en": "HRI Gesture Postprocessing and Dispatch",
   "zh": "HRI 手势后处理与指令派发",
   "level": "l3"
  },
  "CAP_54a507db": {
   "en": "YOLO Hand Bbox Detection",
   "zh": "YOLO 手部边界框检测",
   "level": "l3"
  },
  "CAP_b79ba498": {
   "en": "Hand Keypoint Sequence Windowing",
   "zh": "手部关键点序列滑窗",
   "level": "l3"
  },
  "CAP_fafa004a": {
   "en": "Hand Temporal Clip Cropping",
   "zh": "手部时序片段裁剪",
   "level": "l3"
  },
  "CAP_b6b44a67": {
   "en": "Dynamic Trajectory Template Gesture Recognition",
   "zh": "动态轨迹模板手势识别",
   "level": "l2"
  },
  "CAP_7dbe25ee": {
   "en": "Hand Gesture Trajectory Feature Extraction",
   "zh": "手势轨迹特征提取",
   "level": "l3"
  },
  "CAP_41e9fd64": {
   "en": "Gesture Template DTW HMM Classification",
   "zh": "手势模板 DTW HMM 分类",
   "level": "l3"
  },
  "CAP_ee7e400c": {
   "en": "Skeleton ST-GCN Dynamic Gesture Recognition",
   "zh": "骨架 ST-GCN 动态手势序列识别",
   "level": "l2"
  },
  "CAP_b52db42b": {
   "en": "Video Skeleton Sequence Extraction",
   "zh": "视频骨架序列提取",
   "level": "l3"
  },
  "CAP_39417c59": {
   "en": "Spatio-Temporal Graph Tensor Construction",
   "zh": "时空图张量构建",
   "level": "l3"
  },
  "CAP_3194655d": {
   "en": "Recurrent 3D CNN Dynamic Gesture Recognition",
   "zh": "循环三维卷积动态手势序列识别",
   "level": "l2"
  },
  "CAP_c8e52362": {
   "en": "Multimodal Video Acquisition",
   "zh": "多模态视频采集",
   "level": "l3"
  },
  "CAP_e59abead": {
   "en": "Video Frame Normalization",
   "zh": "视频帧归一化",
   "level": "l3"
  },
  "CAP_429c5c84": {
   "en": "3D CNN Spatiotemporal Feature Extraction",
   "zh": "3D CNN 时空特征提取",
   "level": "l3"
  },
  "CAP_457f73f1": {
   "en": "Multiscale Score Fusion",
   "zh": "多尺度分数融合",
   "level": "l3"
  },
  "CAP_649fdbee": {
   "en": "Online Gesture Detection Evaluation",
   "zh": "在线手势检测评估",
   "level": "l3"
  },
  "CAP_3fcf60e2": {
   "en": "TSM Dynamic Gesture Recognition",
   "zh": "TSM 动态手势序列识别",
   "level": "l2"
  },
  "CAP_0a40c3ed": {
   "en": "TSM Temporal Shift Inference",
   "zh": "TSM 时序移位推理",
   "level": "l3"
  },
  "CAP_7f29d7a3": {
   "en": "Online Gesture Recognition Deployment",
   "zh": "在线手势识别部署",
   "level": "l3"
  },
  "CAP_b08bb213": {
   "en": "Video Gesture Benchmark Evaluation",
   "zh": "视频手势基准评测",
   "level": "l3"
  },
  "CAP_d5c09563": {
   "en": "Online PDDL Goal Insertion Loop",
   "zh": "在线 PDDL 目标插入闭环",
   "level": "l2"
  },
  "CAP_a9681fea": {
   "en": "Opportunistic Goal Insertion",
   "zh": "机会主义目标插入",
   "level": "l3"
  },
  "CAP_83d61989": {
   "en": "DVRP Online Goal Insertion Loop",
   "zh": "DVRP 在线目标插入闭环",
   "level": "l2"
  },
  "CAP_2f366aea": {
   "en": "Online Delivery Request Ingestion",
   "zh": "在线配送请求接入",
   "level": "l3"
  },
  "CAP_9c8490cd": {
   "en": "Cheapest Regret Insertion Heuristic",
   "zh": "最便宜/后悔插入启发式",
   "level": "l3"
  },
  "CAP_f6f1b16c": {
   "en": "Feasibility Accept Reject under Constraints",
   "zh": "约束下可行性接受/拒绝",
   "level": "l3"
  },
  "CAP_6b56e7a1": {
   "en": "Anytime Continual Route Reoptimization",
   "zh": "anytime 持续路线重优化",
   "level": "l3"
  },
  "CAP_4a1b9b8d": {
   "en": "Lifelong Goal Insertion Replan Dispatch Loop",
   "zh": "终身任务流目标插入重规划-派发闭环",
   "level": "l2"
  },
  "CAP_6443154f": {
   "en": "Token Passing Goal Assignment",
   "zh": "agent 空闲时令牌传递目标分配",
   "level": "l3"
  },
  "CAP_6ffc9480": {
   "en": "Rolling Horizon Replan Trigger",
   "zh": "目标集变化触发滚动视界重规划",
   "level": "l3"
  },
  "CAP_cedce945": {
   "en": "Rolling Horizon Replanning",
   "zh": "滚动视界重规划",
   "level": "l3"
  },
  "CAP_5cf56810": {
   "en": "LLM Interactive Request Insertion Replanning",
   "zh": "LLM 交互式请求插入重规划",
   "level": "l2"
  },
  "CAP_07e00d98": {
   "en": "Executed Step Aware Plan Status Tracking",
   "zh": "已执行步骤感知的计划状态跟踪",
   "level": "l3"
  },
  "CAP_0702ef92": {
   "en": "Mid Execution Request Insertion Replan Trigger",
   "zh": "执行中请求插入重规划触发",
   "level": "l3"
  },
  "CAP_e9d5031a": {
   "en": "Dynamic Hazard Map Update",
   "zh": "动态危险地图更新",
   "level": "l2"
  },
  "CAP_29823785": {
   "en": "Hazard Safety-Hold Clearing",
   "zh": "危险安全保持清除",
   "level": "l3"
  },
  "CAP_c50c62cc": {
   "en": "Occupancy Grid Log-odds Temporal Accumulation",
   "zh": "占据栅格 log-odds 时序累积",
   "level": "l3"
  },
  "CAP_921d3159": {
   "en": "Time-Decay Voxel Marking",
   "zh": "时间衰减体素标记",
   "level": "l3"
  },
  "CAP_12bae82e": {
   "en": "Temporal Occupancy Smoothing",
   "zh": "时间占用平滑",
   "level": "l3"
  },
  "CAP_4440308d": {
   "en": "TSDF Ever-Free Region Detection",
   "zh": "TSDF持续空闲区域检测",
   "level": "l3"
  },
  "CAP_71940633": {
   "en": "Static Map Assembly",
   "zh": "静态地图组装",
   "level": "l3"
  },
  "CAP_26cba315": {
   "en": "Free-Space Ray Change Detection",
   "zh": "自由空间射线变化检测",
   "level": "l3"
  },
  "CAP_0e220cce": {
   "en": "Persistent Change Triggered Map Update",
   "zh": "持续变化触发地图更新",
   "level": "l3"
  },
  "CAP_7045ee14": {
   "en": "Delta Map Version Sequence Index",
   "zh": "Delta 地图版本序列索引",
   "level": "l3"
  },
  "CAP_08120043": {
   "en": "Dynamic Load Compensation",
   "zh": "动态载荷补偿",
   "level": "l2"
  },
  "CAP_8d0f01d7": {
   "en": "Payload-aware Dynamics Model Augmentation",
   "zh": "负载感知动力学模型扩充",
   "level": "l3"
  },
  "CAP_04c087bc": {
   "en": "Disturbance Observer Design for Load Rejection",
   "zh": "载荷抑制扰动观测器设计",
   "level": "l3"
  },
  "CAP_54113b1c": {
   "en": "Learning-based Dynamic Load Compensation",
   "zh": "学习型动态载荷补偿",
   "level": "l2"
  },
  "CAP_02781457": {
   "en": "Neural Inverse Dynamics Feedforward",
   "zh": "神经网络逆动力学前馈",
   "level": "l3"
  },
  "CAP_5d95181c": {
   "en": "Multiplicity of Behavior Policy Training",
   "zh": "行为多样性条件策略训练",
   "level": "l2"
  },
  "CAP_eafa8077": {
   "en": "Gait Command Vector Real-Time Modulation",
   "zh": "步态指令向量实时调制",
   "level": "l2"
  },
  "CAP_7d6cfc7b": {
   "en": "Gait Command Vector Conditioned Policy",
   "zh": "步态指令向量条件策略",
   "level": "l3"
  },
  "CAP_10e93cd7": {
   "en": "Grid Adaptive Velocity Curriculum",
   "zh": "网格自适应速度课程",
   "level": "l3"
  },
  "CAP_04fd6d52": {
   "en": "Gait Command Smooth Interpolation",
   "zh": "步态指令平滑插值",
   "level": "l3"
  },
  "CAP_504bbd7e": {
   "en": "HZD Invariant Multi-Stage Trajectory Optimization",
   "zh": "HZD 不变多阶段轨迹优化",
   "level": "l2"
  },
  "CAP_4e4fcdf7": {
   "en": "Switched System Online MPC",
   "zh": "切换系统在线 MPC",
   "level": "l2"
  },
  "CAP_d3bca3ad": {
   "en": "Hybrid System Domain Modeling",
   "zh": "混合系统域建模",
   "level": "l3"
  },
  "CAP_588c8452": {
   "en": "Virtual Constraint Bezier Feedback Controller",
   "zh": "虚拟约束 Bézier 反馈控制器",
   "level": "l3"
  },
  "CAP_81d9c667": {
   "en": "Reset Map Impact Modeling",
   "zh": "Reset Map 冲击建模",
   "level": "l3"
  },
  "CAP_7d8dc5fe": {
   "en": "Direct Collocation NLP Construction",
   "zh": "Direct Collocation NLP 构建",
   "level": "l3"
  },
  "CAP_145214d1": {
   "en": "HZD Trajectory Library Export",
   "zh": "HZD 轨迹库导出",
   "level": "l3"
  },
  "CAP_0526e75f": {
   "en": "Switched System MPC Tracking",
   "zh": "切换系统 MPC 跟踪",
   "level": "l3"
  },
  "CAP_c2d3144b": {
   "en": "Movement Primitive Based Motion Transition",
   "zh": "运动原语基运动切换",
   "level": "l2"
  },
  "CAP_17b957db": {
   "en": "Online Primitive Blending and Execution",
   "zh": "在线原语融合与执行",
   "level": "l2"
  },
  "CAP_f47b4b5c": {
   "en": "ProMP Weight Distribution Fitting",
   "zh": "ProMP 权重分布拟合",
   "level": "l3"
  },
  "CAP_ec046ac4": {
   "en": "ProMP Viapoint Conditioning",
   "zh": "ProMP Viapoint 条件化",
   "level": "l3"
  },
  "CAP_715843f8": {
   "en": "Dual Cartesian DMP Coupling",
   "zh": "双笛卡尔 DMP 耦合",
   "level": "l3"
  },
  "CAP_62df1549": {
   "en": "Cython Accelerated Primitive Rollout",
   "zh": "Cython 加速原语展开",
   "level": "l3"
  },
  "CAP_0f29ad3c": {
   "en": "Egocentric Dynamic Bin Detection",
   "zh": "动态bin判别",
   "level": "l3"
  },
  "CAP_51d3c1dc": {
   "en": "Naive Static Map Construction",
   "zh": "朴素静态地图构建",
   "level": "l3"
  },
  "CAP_f973be64": {
   "en": "Visual Semantic Dynamic SLAM",
   "zh": "视觉语义动态SLAM",
   "level": "l2"
  },
  "CAP_492888bc": {
   "en": "A-priori Dynamic Segmentation",
   "zh": "先验动态像素分割",
   "level": "l3"
  },
  "CAP_a8fe42e5": {
   "en": "Dynamic Feature Masking",
   "zh": "动态区域特征剔除",
   "level": "l3"
  },
  "CAP_01fe1285": {
   "en": "Static Pose Estimation",
   "zh": "静态位姿估计",
   "level": "l3"
  },
  "CAP_db2c5839": {
   "en": "Static Map Construction",
   "zh": "静态地图构建",
   "level": "l3"
  },
  "CAP_6091e3e7": {
   "en": "Temporarily-static Robust BA",
   "zh": "临时静止物体鲁棒BA",
   "level": "l3"
  },
  "CAP_5e48ce73": {
   "en": "Neural Field Dynamic Decomposition",
   "zh": "神经场动态场景分解",
   "level": "l2"
  },
  "CAP_b88949c7": {
   "en": "Monocular Video Pose-Free Prep",
   "zh": "位姿无关视频准备",
   "level": "l3"
  },
  "CAP_7291714c": {
   "en": "Static-Dynamic Radiance Field Build",
   "zh": "静动态辐射场构建",
   "level": "l3"
  },
  "CAP_1d4815be": {
   "en": "Robust Dynamic Motion Masking",
   "zh": "鲁棒动态运动掩码",
   "level": "l3"
  },
  "CAP_3c77d6ce": {
   "en": "Geometry-Filtered Dynamic SLAM",
   "zh": "几何过滤式动态SLAM",
   "level": "l2"
  },
  "CAP_0f6694a9": {
   "en": "Semantic Prior Dynamic Masking",
   "zh": "语义先验动态掩膜",
   "level": "l3"
  },
  "CAP_3c776a7c": {
   "en": "Multi-View Geometry Dynamic Detection",
   "zh": "多视图几何动态检测",
   "level": "l3"
  },
  "CAP_7a073007": {
   "en": "Region Growing Dynamic Propagation",
   "zh": "区域生长动态传播",
   "level": "l3"
  },
  "CAP_6d303e6e": {
   "en": "Static Feature Bundle Adjustment",
   "zh": "静态特征束调整",
   "level": "l3"
  },
  "CAP_5489d3a4": {
   "en": "Background Inpainting For Occlusion",
   "zh": "遮挡背景修复",
   "level": "l3"
  },
  "CAP_a3df130c": {
   "en": "Dense Static Background Reconstruction",
   "zh": "稠密静态背景重建",
   "level": "l3"
  },
  "CAP_f89e1e63": {
   "en": "Robust VIO Dynamic Feature Rejection",
   "zh": "鲁棒VIO动态特征拒绝",
   "level": "l3"
  },
  "CAP_0d3e83cb": {
   "en": "Semantic-Tracked Dynamic Object Management",
   "zh": "语义跟踪式动态对象管理",
   "level": "l2"
  },
  "CAP_eb57080c": {
   "en": "Semantic-Aware LiDAR SLAM",
   "zh": "语义感知LiDAR SLAM",
   "level": "l3"
  },
  "CAP_0923ce2d": {
   "en": "Cluster-Based Multi-Object Visual Odometry",
   "zh": "基于聚类的多对象视觉里程计",
   "level": "l3"
  },
  "CAP_2d0e96c2": {
   "en": "4D Sparse Convolution Map-Based Moving Object Segmentation",
   "zh": "基于地图的4D稀疏卷积动态物体分割",
   "level": "l3"
  },
  "CAP_dfab11a9": {
   "en": "Recursive Bayesian Label Update on Surfel",
   "zh": "递归贝叶斯标签更新",
   "level": "l3"
  },
  "CAP_d12d28f9": {
   "en": "Range Image CNN Semantic Segmentation",
   "zh": "距离图像CNN语义分割",
   "level": "l3"
  },
  "CAP_41bce039": {
   "en": "Neural-Field 4D Dynamic Scene Reconstruction",
   "zh": "神经场4D动态场景重建",
   "level": "l2"
  },
  "CAP_958efee6": {
   "en": "4D Neural Voxel Deformation Field",
   "zh": "4D神经体素形变场",
   "level": "l3"
  },
  "CAP_8bc57de8": {
   "en": "Quasi-3D Canonical Volume Motion Tracking",
   "zh": "准3D规范体运动跟踪",
   "level": "l3"
  },
  "CAP_e3c3ec8c": {
   "en": "Spatial-Temporal Foundation Feature Lifting",
   "zh": "时空基础特征提升",
   "level": "l3"
  },
  "CAP_bb75649b": {
   "en": "PHD/MIB Static-Dynamic Decomposition",
   "zh": "静态-动态场分解",
   "level": "l3"
  },
  "CAP_74a3864d": {
   "en": "Optical Flow Velocity State Estimation",
   "zh": "光流速度状态估计",
   "level": "l3"
  },
  "CAP_befc990b": {
   "en": "Real-time Gaussian Rendering and Surface Extraction",
   "zh": "实时高斯渲染与表面提取",
   "level": "l3"
  },
  "CAP_e56fedae": {
   "en": "NeRF Scene Optimization",
   "zh": "NeRF场景优化",
   "level": "l3"
  },
  "CAP_9a95c26d": {
   "en": "Trajectory Prediction for Robotics",
   "zh": "轨迹预测",
   "level": "l2"
  },
  "CAP_2d70e47e": {
   "en": "Dynamic Obstacle State Extraction and Filtering",
   "zh": "动态障碍状态提取与滤波",
   "level": "l3"
  },
  "CAP_c367a9c0": {
   "en": "EKF State Estimation for Dynamic Obstacles",
   "zh": "动态障碍 EKF 状态估计",
   "level": "l3"
  },
  "CAP_1803ca90": {
   "en": "Motion Model Selection",
   "zh": "运动学模型选择",
   "level": "l3"
  },
  "CAP_2b0b0201": {
   "en": "Motion Model Forward Integration Trajectory Prediction",
   "zh": "运动模型外推轨迹预测",
   "level": "l3"
  },
  "CAP_ab4fc7de": {
   "en": "Map-Constrained Trajectory Projection",
   "zh": "地图约束轨迹投影",
   "level": "l3"
  },
  "CAP_e32aa26c": {
   "en": "CVAE Latent Sampling and Trajectory Decoding",
   "zh": "CVAE潜变量采样与轨迹解码",
   "level": "l3"
  },
  "CAP_e803b015": {
   "en": "Dynamic Occupancy Grid Construction",
   "zh": "动态占据栅格构造",
   "level": "l3"
  },
  "CAP_c906a4fd": {
   "en": "ConvLSTM Spatiotemporal Sequence Encoding",
   "zh": "ConvLSTM时空序列编码",
   "level": "l3"
  },
  "CAP_37567126": {
   "en": "Future Occupancy Grid Decoding",
   "zh": "未来占据栅格解码",
   "level": "l3"
  },
  "CAP_25431e32": {
   "en": "Predicted Grid Dynamic Static Separation",
   "zh": "预测栅格动静分离",
   "level": "l3"
  },
  "CAP_8bcd5b67": {
   "en": "SFM Parameter Calibration",
   "zh": "SFM参数标定",
   "level": "l3"
  },
  "CAP_c392c17a": {
   "en": "SFM Forward Integration Prediction",
   "zh": "SFM前向积分预测",
   "level": "l3"
  },
  "CAP_de03229c": {
   "en": "Dynamic Reconfigure DSL",
   "zh": "动态重配置领域特定语言",
   "level": "l2"
  },
  "CAP_8102611f": {
   "en": "DSL Declare",
   "zh": "DSL 声明",
   "level": "l3"
  },
  "CAP_e0e2666d": {
   "en": "Server",
   "zh": "服务器",
   "level": "l3"
  },
  "CAP_8615b059": {
   "en": "Client GUI",
   "zh": "客户端图形界面",
   "level": "l3"
  },
  "CAP_61a4382f": {
   "en": "Client API",
   "zh": "客户端 API",
   "level": "l3"
  },
  "CAP_e5be6425": {
   "en": "Apply",
   "zh": "应用",
   "level": "l3"
  },
  "CAP_2b3964c7": {
   "en": "Parameter Definition and Code Generation",
   "zh": "参数定义与代码生成",
   "level": "l1"
  },
  "CAP_cf16041b": {
   "en": "DSL Parameter Definition",
   "zh": "DSL 参数定义",
   "level": "l2"
  },
  "CAP_98dacce2": {
   "en": "Code Generation from DSL",
   "zh": "从 DSL 生成代码",
   "level": "l3"
  },
  "CAP_246cbe7f": {
   "en": "Dynamic Reconfigure Server Binding",
   "zh": "动态重配置服务器绑定",
   "level": "l1"
  },
  "CAP_eadaabec": {
   "en": "Server Callback Binding",
   "zh": "服务器回调绑定",
   "level": "l2"
  },
  "CAP_adf99a71": {
   "en": "Parameter Update and Visualization",
   "zh": "参数更新与可视化",
   "level": "l1"
  },
  "CAP_6a30c605": {
   "en": "GUI-based Parameter Modification",
   "zh": "基于 GUI 的参数修改",
   "level": "l2"
  },
  "CAP_a139defc": {
   "en": "Callback Parameter Application",
   "zh": "回调参数应用",
   "level": "l1"
  },
  "CAP_3ce0e735": {
   "en": "ROS2 Parameter Declaration and Hot Reload Callback",
   "zh": "ROS2 参数声明与热重载回调",
   "level": "l1"
  },
  "CAP_3bc02c27": {
   "en": "Parameter Declaration",
   "zh": "参数声明",
   "level": "l3"
  },
  "CAP_2df96580": {
   "en": "Runtime Parameter Read/Write",
   "zh": "运行时参数读写",
   "level": "l3"
  },
  "CAP_8431860b": {
   "en": "Hot Reload Callback",
   "zh": "热重载回调",
   "level": "l3"
  },
  "CAP_90aa095c": {
   "en": "Parameter Events Bus",
   "zh": "参数事件总线",
   "level": "l1"
  },
  "CAP_05bf33b2": {
   "en": "Declarative Parameter Generation",
   "zh": "声明式参数生成",
   "level": "l1"
  },
  "CAP_57536ae5": {
   "en": "Control/Driver Parameter Application",
   "zh": "控制/驱动参数应用",
   "level": "l1"
  },
  "CAP_8c3ebf17": {
   "en": "Parameter Event Monitoring",
   "zh": "参数事件监控",
   "level": "l1"
  },
  "CAP_f76b5b37": {
   "en": "Cross-Node Parameter Sync",
   "zh": "跨节点参数同步",
   "level": "l1"
  },
  "CAP_166321bd": {
   "en": "Parameter Event Source",
   "zh": "参数事件源",
   "level": "l3"
  },
  "CAP_91f3c8c6": {
   "en": "Event Subscription",
   "zh": "事件订阅",
   "level": "l3"
  },
  "CAP_c39b6693": {
   "en": "Event Filtering",
   "zh": "事件过滤",
   "level": "l3"
  },
  "CAP_7710f0f7": {
   "en": "Target Parameter Apply",
   "zh": "目标参数应用",
   "level": "l3"
  },
  "CAP_3b2e0aa9": {
   "en": "ROS1 Parameter Server",
   "zh": "ROS1 参数服务器",
   "level": "l1"
  },
  "CAP_9807ce12": {
   "en": "Controller/Navigation Stack Runtime Tuning",
   "zh": "控制器/导航栈运行期调参",
   "level": "l2"
  },
  "CAP_de657df52e": {
   "en": "params file Declaration",
   "zh": "params_file 声明",
   "level": "l3"
  },
  "CAP_5f001fc814": {
   "en": "controller manager Update Rate Configuration",
   "zh": "controller_manager 周期配置",
   "level": "l3"
  },
  "CAP_f18e2044": {
   "en": "Runtime Parameter Hot Update",
   "zh": "运行期参数热更",
   "level": "l3"
  },
  "CAP_90713436": {
   "en": "Controller Plugin Reconfiguration",
   "zh": "控制器插件化重配",
   "level": "l3"
  },
  "CAP_0b0d91a6": {
   "en": "MPPI Critic Weight Tuning",
   "zh": "MPPI critic 权重调参",
   "level": "l3"
  },
  "CAP_a4fddcfe": {
   "en": "Costmap Parameter Tuning",
   "zh": "代价地图参数调优",
   "level": "l3"
  },
  "CAP_3f82e7e8": {
   "en": "Tuning Effect Verification",
   "zh": "调参效果验证",
   "level": "l3"
  },
  "CAP_f1004876": {
   "en": "Upper Body Pose Keypoint Detection",
   "zh": "上肢姿态关键点检测",
   "level": "l3"
  },
  "CAP_1cd2ed58": {
   "en": "Pointing Dynamic Target Tracking",
   "zh": "指向动态目标追踪",
   "level": "l2"
  },
  "CAP_2b4c0b6e": {
   "en": "Pointing State Temporal Filtering and Prediction",
   "zh": "指向状态时序滤波与预测",
   "level": "l3"
  },
  "CAP_65299fce": {
   "en": "Online Indicated Target Reassociation and Realtime Update",
   "zh": "在线指示目标再关联与实时更新",
   "level": "l3"
  },
  "CAP_ab97d8ae": {
   "en": "Pointing Grounding Perception Frontend",
   "zh": "指向定位感知前端",
   "level": "l2"
  },
  "CAP_5a40d07f": {
   "en": "Pointing Target Candidate Object Detection",
   "zh": "指向目标候选物体检测",
   "level": "l3"
  },
  "CAP_b9f0eb6f": {
   "en": "Pointing Ray Geometric Encoding",
   "zh": "指向射线几何编码",
   "level": "l3"
  },
  "CAP_1278c21c": {
   "en": "Learning Based Dynamic Target Grounding",
   "zh": "学习型动态目标定位",
   "level": "l2"
  },
  "CAP_2a1ab24b": {
   "en": "Cross Modal Attention Target Grounding",
   "zh": "跨模态注意力目标定位",
   "level": "l3"
  },
  "CAP_6479ff6f": {
   "en": "Temporal Grounding Consistency and Target Track Update",
   "zh": "时序定位一致性与目标轨迹更新",
   "level": "l3"
  },
  "CAP_0484947e": {
   "en": "Egocentric Gaze Perception and Mapping",
   "zh": "自视角视线感知与映射",
   "level": "l2"
  },
  "CAP_7654afad": {
   "en": "Egocentric Gaze Stream Capture",
   "zh": "自视角视线流采集",
   "level": "l3"
  },
  "CAP_b1ebd994": {
   "en": "Cross View Gaze to Robot Mapping",
   "zh": "跨视角视线到机器人映射",
   "level": "l3"
  },
  "CAP_de6416d0": {
   "en": "Gaze Coupled Dynamic Intent Tracking",
   "zh": "视线耦合动态意图追踪",
   "level": "l2"
  },
  "CAP_e5f72fcd": {
   "en": "Gaze Pointing Intent Fusion",
   "zh": "视线指向意图融合",
   "level": "l3"
  },
  "CAP_cebcb6c3": {
   "en": "Dynamic Intent Steering and Target Reassociation",
   "zh": "动态意图引导与目标再关联",
   "level": "l3"
  },
  "CAP_08f3c38c": {
   "en": "Runtime-Aware Power Mode Planning",
   "zh": "续航驱动平台功率模式规划",
   "level": "l3"
  },
  "CAP_bb62aede": {
   "en": "Runtime-Aware Sensor Sampling Budget",
   "zh": "续航驱动传感器采样预算规划",
   "level": "l3"
  },
  "CAP_04dbd653": {
   "en": "Remaining Flight Time Computation",
   "zh": "剩余续航时间计算",
   "level": "l3"
  },
  "CAP_23fb9a85": {
   "en": "Urgent Goal Reprioritization Trigger",
   "zh": "紧急目标重规划触发门控",
   "level": "l3"
  },
  "CAP_ce5fff73": {
   "en": "Auction-Based Dynamic Reallocation Pipeline",
   "zh": "拍卖式动态重分配管线",
   "level": "l2"
  },
  "CAP_ee7f1083": {
   "en": "Opportunity-Driven Goal Utility Reorder",
   "zh": "机会驱动目标效用重排",
   "level": "l3"
  },
  "CAP_57ab2b98": {
   "en": "Contract Net Re-Auction",
   "zh": "合同网重拍卖",
   "level": "l2"
  },
  "CAP_8e7f4cfc": {
   "en": "Sequential Iterative SIT Re-Auction",
   "zh": "顺序迭代 SIT 重拍卖",
   "level": "l2"
  },
  "CAP_205e90d7": {
   "en": "Allocation Confirmation and Dispatch",
   "zh": "分配确认与执行派发",
   "level": "l3"
  },
  "CAP_7cb96e2b": {
   "en": "Auction Announcement Orchestrator",
   "zh": "拍卖发布编排",
   "level": "l3"
  },
  "CAP_2fd53bd8": {
   "en": "Semantic Gating Dynamic Region",
   "zh": "语义门控动态区域",
   "level": "l3"
  },
  "CAP_c4d6879c": {
   "en": "Depth Reprojection Dynamic Consistency Check",
   "zh": "深度重投影动态一致性检查",
   "level": "l3"
  },
  "CAP_0ec02d29": {
   "en": "Semantic Gated Feature Extraction",
   "zh": "语义门控特征提取",
   "level": "l3"
  },
  "CAP_1533a7ee": {
   "en": "Dynamic Feature Rejection and Re-tracking",
   "zh": "动态特征剔除与重跟踪",
   "level": "l3"
  },
  "CAP_e7bc245e": {
   "en": "Quasi-static Analytical Sliding Reorientation",
   "zh": "准静态解析滑动重定向",
   "level": "l2"
  },
  "CAP_c0e019a7": {
   "en": "Sliding Pose Error Compensation",
   "zh": "滑动姿态误差补偿",
   "level": "l3"
  },
  "CAP_c1b90500": {
   "en": "Contact-Maintaining Sliding Control",
   "zh": "接触维持滑动控制",
   "level": "l2"
  },
  "CAP_d18555e8": {
   "en": "Controlled Sliding Trajectory Execution",
   "zh": "受控滑动轨迹执行",
   "level": "l3"
  },
  "CAP_05078cc0": {
   "en": "Sliding Motion Execution",
   "zh": "滑动运动执行",
   "level": "l2"
  },
  "CAP_05cb51e2": {
   "en": "Model-based Sliding Planning",
   "zh": "模型基滑动规划",
   "level": "l2"
  },
  "CAP_b81afc6b": {
   "en": "Model-based Sliding Execution",
   "zh": "模型基滑动执行",
   "level": "l2"
  },
  "CAP_d2814020": {
   "en": "Stable Sliding Trajectory Optimization",
   "zh": "稳定滑动轨迹优化",
   "level": "l3"
  },
  "CAP_74257376": {
   "en": "Learning-Based Sliding Reorientation",
   "zh": "学习式滑动重定向",
   "level": "l2"
  },
  "CAP_b34c7b47": {
   "en": "Online Sliding Policy Adaptation",
   "zh": "在线滑动策略适应",
   "level": "l3"
  },
  "CAP_8969f06c": {
   "en": "Visuotactile Reactive Sliding Closed-Loop Control",
   "zh": "视触觉反应式滑动闭环控制",
   "level": "l2"
  },
  "CAP_09a69c33": {
   "en": "Pose Convergence Verification",
   "zh": "姿态收敛验证",
   "level": "l3"
  },
  "CAP_f732d340": {
   "en": "Sliding Pose Alignment",
   "zh": "滑动位姿对齐",
   "level": "l3"
  },
  "CAP_0195eafc": {
   "en": "Contact-Implicit MPC Sliding Planning",
   "zh": "接触隐式 MPC 滑动规划",
   "level": "l3"
  },
  "CAP_97a706f4": {
   "en": "Online Friction Model Correction",
   "zh": "在线摩擦模型修正",
   "level": "l3"
  },
  "CAP_10144fb9": {
   "en": "Normal Force Regulation",
   "zh": "法向力调节",
   "level": "l3"
  },
  "CAP_0e167bc4": {
   "en": "Trajectory Optimizer NLP",
   "zh": "NLP 轨迹优化器",
   "level": "l3"
  },
  "CAP_0785ae41": {
   "en": "Sliding Simulation Environment",
   "zh": "滑动仿真环境搭建",
   "level": "l3"
  },
  "CAP_f7cb43fa": {
   "en": "Sliding Dynamics Randomization",
   "zh": "滑动动力学随机化",
   "level": "l3"
  },
  "CAP_d680136b": {
   "en": "Online Friction Estimation for Sliding",
   "zh": "滑动在线摩擦估计",
   "level": "l3"
  },
  "CAP_4d832b12": {
   "en": "Zero-Shot Sliding Sim-to-Real Transfer",
   "zh": "滑动零样本仿真到真机迁移",
   "level": "l3"
  },
  "CAP_1e522de0": {
   "en": "Tactile Sliding Signal Acquisition",
   "zh": "触觉滑动信号采集",
   "level": "l3"
  },
  "CAP_770f8209": {
   "en": "Shear-Invariant Sliding Perception",
   "zh": "剪切不变滑动感知",
   "level": "l3"
  },
  "CAP_09167fd6": {
   "en": "Tactile Sliding Pose Estimation",
   "zh": "触觉滑动位姿估计",
   "level": "l3"
  },
  "CAP_9820c82d": {
   "en": "Sliding Trajectory Tracking Control",
   "zh": "滑动轨迹跟踪控制",
   "level": "l3"
  },
  "CAP_56dca6d5": {
   "en": "Discrete State Space Construction",
   "zh": "离散状态空间构建",
   "level": "l3"
  },
  "CAP_2a54cee1": {
   "en": "Anytime Epsilon Decrement",
   "zh": "Anytime ε递减搜索改进",
   "level": "l3"
  },
  "CAP_e0c90675": {
   "en": "Continuous Optimization Replanning",
   "zh": "局部优化连续重规划",
   "level": "l2"
  },
  "CAP_0dfc27d1": {
   "en": "Local Costmap Update",
   "zh": "局部代价地图更新",
   "level": "l3"
  },
  "CAP_c763ea28": {
   "en": "Critic Cost Evaluation",
   "zh": "轨迹代价评估",
   "level": "l3"
  },
  "CAP_4101caf6": {
   "en": "Global Plan Sampling and Via-Point Extraction",
   "zh": "全局路径采样与经由点提取",
   "level": "l3"
  },
  "CAP_9da96ada": {
   "en": "MPPI Trajectory Sampling",
   "zh": "MPPI轨迹采样",
   "level": "l3"
  },
  "CAP_0ff2c555": {
   "en": "Trajectory Stitching and Replanning Gating",
   "zh": "轨迹拼接与重规划门控",
   "level": "l2"
  },
  "CAP_f68cf7dc": {
   "en": "Replanning Gating Condition Check",
   "zh": "重规划门控条件检查",
   "level": "l3"
  },
  "CAP_05671e4f": {
   "en": "Previous Frame Trajectory Matching",
   "zh": "上一帧轨迹匹配",
   "level": "l3"
  },
  "CAP_4ea52cd4": {
   "en": "Stitching Prefix Extraction",
   "zh": "拼接前缀截取",
   "level": "l3"
  },
  "CAP_3f7f5eb8": {
   "en": "Replan Initial State Prediction",
   "zh": "重规划初始状态预测",
   "level": "l3"
  },
  "CAP_33fae692": {
   "en": "Planning Start Point Initialization",
   "zh": "规划起点初始化",
   "level": "l3"
  },
  "CAP_adbf8aca": {
   "en": "Trajectory Concatenation and Publish",
   "zh": "轨迹拼接发布",
   "level": "l3"
  },
  "CAP_8c69fbc5": {
   "en": "Sampling-Based Dynamic Replanning",
   "zh": "采样型动态重规划",
   "level": "l2"
  },
  "CAP_df29a901": {
   "en": "RRTX Obstacle Change Detection",
   "zh": "RRTX障碍变化检测",
   "level": "l3"
  },
  "CAP_25df03a1": {
   "en": "Affected Branch Pruning",
   "zh": "受影响分支修剪",
   "level": "l3"
  },
  "CAP_6ab91754": {
   "en": "Planner Nearest Neighbor Search",
   "zh": "规划器近邻搜索",
   "level": "l3"
  },
  "CAP_7107261a": {
   "en": "RRTX Cascade Rewiring",
   "zh": "RRTX级联重连Cost传播",
   "level": "l3"
  },
  "CAP_0c6c5271": {
   "en": "Solution Path Extraction",
   "zh": "解路径提取",
   "level": "l3"
  },
  "CAP_2390524f": {
   "en": "Dynamic Volumetric Data Ingestion",
   "zh": "动态体积建图数据接入",
   "level": "l2"
  },
  "CAP_370f9f61": {
   "en": "Point Cloud and Pose Ingestion",
   "zh": "点云与位姿接入",
   "level": "l3"
  },
  "CAP_7382148e": {
   "en": "TSDF Incremental Fusion and Free-space Carving",
   "zh": "TSDF 增量融合与空闲雕刻",
   "level": "l2"
  },
  "CAP_6bdacaa8": {
   "en": "CPU Block Hashed TSDF Robot Mapping",
   "zh": "CPU 块哈希 TSDF 机器人建图",
   "level": "l3"
  },
  "CAP_47ac7dbc": {
   "en": "TSDF Ray Carving and Truncation",
   "zh": "TSDF 射线雕刻与截断",
   "level": "l3"
  },
  "CAP_bd06511e": {
   "en": "Ever-Free Region Temporal Consistency Detection",
   "zh": "永闲区域时序一致性检测",
   "level": "l2"
  },
  "CAP_bfe0f891": {
   "en": "Dynamic Voxel Clustering and Labeling",
   "zh": "动态体素聚类与标记",
   "level": "l2"
  },
  "CAP_677aa57a": {
   "en": "Dynamic Voxel Cluster Labeling",
   "zh": "动态体素聚类标记",
   "level": "l3"
  },
  "CAP_818f9cb5": {
   "en": "Static Volumetric Map Maintenance and Publication",
   "zh": "静态体积地图维护与发布",
   "level": "l2"
  },
  "CAP_09e6fed3": {
   "en": "Static Volumetric Map Publication",
   "zh": "静态体积地图发布",
   "level": "l3"
  },
  "CAP_20e04259": {
   "en": "Pure LiDAR Odometry for Volumetric Mapping",
   "zh": "纯 LiDAR 里程计（体积建图）",
   "level": "l2"
  },
  "CAP_cb9e8b37": {
   "en": "Pure LiDAR ICP Odometry Pipeline",
   "zh": "纯 LiDAR ICP 里程计流水线",
   "level": "l3"
  },
  "CAP_9106b813": {
   "en": "4D Range-Image Voxelization",
   "zh": "4D range-image 体素化",
   "level": "l2"
  },
  "CAP_3696d18e": {
   "en": "4D Range-Image Voxelization with Timestamps",
   "zh": "带时间戳 4D range-image 体素化",
   "level": "l3"
  },
  "CAP_cf9d2112": {
   "en": "Sparse Tensor Construction",
   "zh": "稀疏张量构建",
   "level": "l3"
  },
  "CAP_5321adfb": {
   "en": "4D Sparse Convolution Moving Object Segmentation",
   "zh": "4D 稀疏卷积运动物体分割",
   "level": "l2"
  },
  "CAP_df8507e0": {
   "en": "MOS Postprocessing and Static Map Cleaning",
   "zh": "MOS 后处理与静态地图清洗",
   "level": "l2"
  },
  "CAP_8b8205a3": {
   "en": "Static Map Erasure from MOS Labels",
   "zh": "基于 MOS 标签的静态地图擦除",
   "level": "l3"
  },
  "CAP_6101afa4": {
   "en": "Volumetric Dynamic-Occupancy Belief Mapping",
   "zh": "体素动态占用信念建图",
   "level": "l2"
  },
  "CAP_1d706f01": {
   "en": "Semantic-Class-Gated Volumetric Dynamic-Occupancy Belief",
   "zh": "语义类门控体素动态占用信念",
   "level": "l3"
  },
  "CAP_77dc656a": {
   "en": "Per-Voxel Binary Bayesian Dynamic Belief Update",
   "zh": "逐体素二值贝叶斯动态信念更新",
   "level": "l3"
  },
  "CAP_70455cb5": {
   "en": "Volumetric Belief Temporal Accumulation and Thresholding",
   "zh": "体素信念时序累积与阈值化",
   "level": "l3"
  },
  "CAP_82b62f7f": {
   "en": "Static Map Extraction and Geometric Cleaning",
   "zh": "静态地图提取与几何清洗",
   "level": "l2"
  },
  "CAP_53fd3a6a": {
   "en": "Static Map Extraction from Belief",
   "zh": "基于信念的静态地图提取",
   "level": "l3"
  },
  "CAP_6b5b590b": {
   "en": "Geometric Dynamic Cleaning Fallback",
   "zh": "几何动态清洗兜底",
   "level": "l3"
  },
  "CAP_d570b8ed": {
   "en": "CBS Deadline Assignment",
   "zh": "CBS 调度截止期分配",
   "level": "l3"
  },
  "CAP_4592a559": {
   "en": "EDF Red Black Tree Enqueue",
   "zh": "EDF 红黑树入队",
   "level": "l3"
  },
  "CAP_f4d335f6": {
   "en": "EDF Earliest Deadline Selection",
   "zh": "EDF 最早截止期选择",
   "level": "l3"
  },
  "CAP_e936f803": {
   "en": "Task Set Modeling",
   "zh": "任务集参数建模",
   "level": "l3"
  },
  "CAP_a6171a80": {
   "en": "Utilization Bound Test",
   "zh": "利用率上界测试",
   "level": "l3"
  },
  "CAP_fe918ebe": {
   "en": "Demand Bound Function Test",
   "zh": "处理器需求界限测试",
   "level": "l3"
  },
  "CAP_59796753": {
   "en": "Schedulability Verdict",
   "zh": "可调度性裁决",
   "level": "l3"
  },
  "CAP_434aa099": {
   "en": "RT-App Workload Modeling",
   "zh": "rt-app 负载建模",
   "level": "l3"
  },
  "CAP_5a420210": {
   "en": "Scheduling Event Tracing",
   "zh": "调度事件采集",
   "level": "l3"
  },
  "CAP_89116086": {
   "en": "Scheduling Timeline Analysis",
   "zh": "调度时序分析",
   "level": "l3"
  },
  "CAP_94c6d164": {
   "en": "Scheduling Latency Measurement",
   "zh": "调度延迟测量",
   "level": "l3"
  },
  "CAP_06032a0f": {
   "en": "Empirical Bound Verification",
   "zh": "实测界对比验证",
   "level": "l3"
  },
  "CAP_a9e0b946": {
   "en": "Run-to-Failure Data Acquisition",
   "zh": "运行到失效数据采集",
   "level": "l3"
  },
  "CAP_66f763db": {
   "en": "Degradation Feature Engineering",
   "zh": "退化特征工程",
   "level": "l3"
  },
  "CAP_97af42a6": {
   "en": "Piecewise Linear RUL Label Generation",
   "zh": "分段线性RUL标签生成",
   "level": "l3"
  },
  "CAP_1a76d90b": {
   "en": "Data-Driven RUL Model Training",
   "zh": "数据驱动RUL模型训练",
   "level": "l3"
  },
  "CAP_47495798": {
   "en": "RUL-Based Early Warning Decision",
   "zh": "基于RUL的早期预警决策",
   "level": "l3"
  },
  "CAP_5ae5abb6": {
   "en": "Physics-Based Degradation Model Definition",
   "zh": "物理退化模型定义",
   "level": "l3"
  },
  "CAP_09875e48": {
   "en": "Degradation State Estimation",
   "zh": "退化状态估计",
   "level": "l3"
  },
  "CAP_34356aa6": {
   "en": "EoL Time Prediction via Forward Simulation",
   "zh": "前向仿真EoL时间预测",
   "level": "l3"
  },
  "CAP_f45ef733": {
   "en": "Physics-Based EoL Early Warning",
   "zh": "基于物理模型的EoL早期预警",
   "level": "l3"
  },
  "CAP_7e2be99b": {
   "en": "Online Degradation Monitoring",
   "zh": "在线退化监测",
   "level": "l3"
  },
  "CAP_e84e53c8": {
   "en": "Degradation Change-Point Detection",
   "zh": "退化变点检测",
   "level": "l3"
  },
  "CAP_48ea88be": {
   "en": "Degradation Trend Early Warning",
   "zh": "退化趋势早期预警",
   "level": "l3"
  },
  "CAP_613ab03c": {
   "en": "Edge Model Export & ONNX Op Check",
   "zh": "边缘模型导出与ONNX算子检查",
   "level": "l2"
  },
  "CAP_af54d162": {
   "en": "ONNX Model Validation",
   "zh": "ONNX模型验证",
   "level": "l3"
  },
  "CAP_5beeac5a": {
   "en": "Operator Support Check",
   "zh": "算子支持检查",
   "level": "l3"
  },
  "CAP_133bf1a9": {
   "en": "TensorRT Engine Build with INT8 Calibration",
   "zh": "TensorRT引擎构建与INT8校准",
   "level": "l2"
  },
  "CAP_918cdebb": {
   "en": "ONNX Parsing",
   "zh": "ONNX解析",
   "level": "l3"
  },
  "CAP_e62fa2ee": {
   "en": "Builder Configuration",
   "zh": "构建器配置",
   "level": "l3"
  },
  "CAP_04742a0f": {
   "en": "FP16 Configuration",
   "zh": "FP16配置",
   "level": "l3"
  },
  "CAP_c270733a": {
   "en": "Engine Serialization",
   "zh": "引擎序列化",
   "level": "l3"
  },
  "CAP_de964232": {
   "en": "trtexec Benchmark",
   "zh": "trtexec基准测试",
   "level": "l3"
  },
  "CAP_b55a71c1": {
   "en": "Runtime Inference",
   "zh": "运行时推理",
   "level": "l2"
  },
  "CAP_0f9fb47e": {
   "en": "Engine Deserialization",
   "zh": "引擎反序列化",
   "level": "l3"
  },
  "CAP_b74a9d07": {
   "en": "Device Buffer Management",
   "zh": "设备缓冲区管理",
   "level": "l3"
  },
  "CAP_c7828450": {
   "en": "Inference Execution",
   "zh": "推理执行",
   "level": "l3"
  },
  "CAP_478ea2be": {
   "en": "DLA Offloading Strategy",
   "zh": "DLA卸载策略",
   "level": "l2"
  },
  "CAP_110e95be": {
   "en": "DLA Operator Support Mapping",
   "zh": "DLA算子支持映射",
   "level": "l3"
  },
  "CAP_089ac2ab": {
   "en": "DLA Layer Assignment",
   "zh": "DLA层分配",
   "level": "l3"
  },
  "CAP_ebdea867": {
   "en": "GPU Fallback",
   "zh": "GPU回退",
   "level": "l3"
  },
  "CAP_7f93b7fa": {
   "en": "Model Refactoring for DLA",
   "zh": "面向DLA的模型重构",
   "level": "l3"
  },
  "CAP_7e387605": {
   "en": "Performance Profiling & Accuracy Audit",
   "zh": "性能剖析与精度审计",
   "level": "l3"
  },
  "CAP_dc0551da": {
   "en": "Nsight Systems Profiling",
   "zh": "Nsight Systems性能剖析",
   "level": "l3"
  },
  "CAP_6eaa836b": {
   "en": "Polygraphy Accuracy Audit",
   "zh": "Polygraphy精度审计",
   "level": "l3"
  },
  "CAP_d85e8550": {
   "en": "ONNX Export and Operator Validation",
   "zh": "ONNX 导出与算子验证",
   "level": "l2"
  },
  "CAP_52ea9c9f": {
   "en": "PyTorch to ONNX Export",
   "zh": "PyTorch 转 ONNX 导出",
   "level": "l3"
  },
  "CAP_9fb78898": {
   "en": "ONNX Model Simplification",
   "zh": "ONNX 模型简化",
   "level": "l3"
  },
  "CAP_28fd478c": {
   "en": "ONNX Operator Support Validation",
   "zh": "ONNX 算子支持验证",
   "level": "l3"
  },
  "CAP_2a770920": {
   "en": "TensorRT Engine Building and Quantization",
   "zh": "TensorRT Engine 构建与量化",
   "level": "l2"
  },
  "CAP_5b323d9a": {
   "en": "ONNX to TensorRT Engine Build",
   "zh": "ONNX 转 TensorRT Engine 构建",
   "level": "l3"
  },
  "CAP_1307aef3": {
   "en": "INT8 Entropy Calibration",
   "zh": "INT8 熵校准",
   "level": "l3"
  },
  "CAP_012ffb34": {
   "en": "INT8 Engine Build",
   "zh": "INT8 Engine 构建",
   "level": "l3"
  },
  "CAP_fe6be60e": {
   "en": "trtexec Engine Benchmarking",
   "zh": "trtexec Engine 基准测试",
   "level": "l3"
  },
  "CAP_46e1b81b": {
   "en": "Device Buffer Allocation",
   "zh": "设备缓冲区分配",
   "level": "l3"
  },
  "CAP_d0d2caef": {
   "en": "DLA Offload Strategy",
   "zh": "DLA 卸载策略",
   "level": "l2"
  },
  "CAP_7f6a6457": {
   "en": "DLA Layer Support Mapping",
   "zh": "DLA 层支持映射",
   "level": "l3"
  },
  "CAP_c0430cd6": {
   "en": "DLA-Oriented Model Refactor",
   "zh": "面向 DLA 的模型重构",
   "level": "l3"
  },
  "CAP_4fb0b4f3": {
   "en": "Dual-DLA Core Concurrent Allocation",
   "zh": "双 DLA 核并发分配",
   "level": "l3"
  },
  "CAP_8a148cc1": {
   "en": "TensorRT Performance Profiling",
   "zh": "TensorRT 性能剖析",
   "level": "l2"
  },
  "CAP_8723e4dd": {
   "en": "Nsight Systems Timeline Profiling",
   "zh": "Nsight Systems 时间线剖析",
   "level": "l3"
  },
  "CAP_b5623a7a": {
   "en": "Polygraphy INT8 Accuracy Audit",
   "zh": "Polygraphy INT8 精度审计",
   "level": "l3"
  },
  "CAP_e553d55c": {
   "en": "Model Preparation and Export",
   "zh": "模型准备与导出",
   "level": "l2"
  },
  "CAP_a609f970": {
   "en": "Operator Compatibility Check",
   "zh": "算子兼容性检查",
   "level": "l3"
  },
  "CAP_2c5d1489": {
   "en": "TensorRT Engine Build and Optimization",
   "zh": "TensorRT 引擎构建与优化",
   "level": "l2"
  },
  "CAP_68244a7f": {
   "en": "Performance Benchmarking and Accuracy Audit",
   "zh": "性能基准测试与精度审计",
   "level": "l2"
  },
  "CAP_ba69576d": {
   "en": "trtexec Benchmarking",
   "zh": "trtexec 基准测试",
   "level": "l3"
  },
  "CAP_2c861a16": {
   "en": "DLA Offloading and Heterogeneous Inference",
   "zh": "DLA 卸载与异构推理部署",
   "level": "l2"
  },
  "CAP_ae94c598": {
   "en": "DLA Engine Build",
   "zh": "DLA 引擎构建",
   "level": "l3"
  },
  "CAP_af376ea7": {
   "en": "GPU+DLA Concurrent Inference",
   "zh": "GPU+DLA 并发推理",
   "level": "l3"
  },
  "CAP_eda3d228": {
   "en": "Vendor Model Export & Op Pre-check",
   "zh": "厂商模型导出与算子预检",
   "level": "l3"
  },
  "CAP_1699c768": {
   "en": "TFLite INT8 Quantization",
   "zh": "TFLite INT8 量化",
   "level": "l3"
  },
  "CAP_33cb8176": {
   "en": "Operator Support Pre-check",
   "zh": "算子支持预检",
   "level": "l3"
  },
  "CAP_fba5b411": {
   "en": "Vendor Compilation to Private Format",
   "zh": "厂商私有格式编译",
   "level": "l2"
  },
  "CAP_fa12a1de": {
   "en": "Hailo ONNX to HEF Compilation",
   "zh": "Hailo ONNX 转 HEF 编译",
   "level": "l3"
  },
  "CAP_48bb7000": {
   "en": "Coral TFLite to Edge TPU Compilation",
   "zh": "Coral TFLite 转 Edge TPU 编译",
   "level": "l3"
  },
  "CAP_bc7dcc8f": {
   "en": "Rockchip ONNX to RKNN Compilation",
   "zh": "Rockchip ONNX 转 RKNN 编译",
   "level": "l3"
  },
  "CAP_2c28bad5": {
   "en": "Coral Multi-model Caching",
   "zh": "Coral 多模型缓存",
   "level": "l3"
  },
  "CAP_bdb70cc1": {
   "en": "Coral Pipeline Segmentation",
   "zh": "Coral 流水线分段",
   "level": "l3"
  },
  "CAP_252ad206": {
   "en": "Quantization Configuration",
   "zh": "量化配置",
   "level": "l2"
  },
  "CAP_df9fa6c2": {
   "en": "Platform-specific Quantization",
   "zh": "平台特定量化",
   "level": "l3"
  },
  "CAP_ec1fd825": {
   "en": "On-device Inference",
   "zh": "板端推理",
   "level": "l2"
  },
  "CAP_2355ccc4": {
   "en": "Hailo Runtime Inference",
   "zh": "Hailo 运行时推理",
   "level": "l3"
  },
  "CAP_dd368e90": {
   "en": "Coral Runtime Inference",
   "zh": "Coral 运行时推理",
   "level": "l3"
  },
  "CAP_b947f40e": {
   "en": "Rockchip Runtime Inference",
   "zh": "Rockchip 运行时推理",
   "level": "l3"
  },
  "CAP_4af9df9e": {
   "en": "Fallback Strategy & Performance Profiling",
   "zh": "回退策略与性能剖析",
   "level": "l2"
  },
  "CAP_7d0f13c6": {
   "en": "Operator Fallback Strategy",
   "zh": "算子回退策略",
   "level": "l3"
  },
  "CAP_d82f698d": {
   "en": "Performance Profiling",
   "zh": "性能剖析",
   "level": "l3"
  },
  "CAP_ff60552d": {
   "en": "Multi-Vendor Model Export and Operator Pre-check",
   "zh": "多厂商模型导出与算子预检",
   "level": "l2"
  },
  "CAP_bbf0b0da": {
   "en": "Vendor Format Export",
   "zh": "厂商格式导出",
   "level": "l3"
  },
  "CAP_37e16dd8": {
   "en": "Multi-Vendor Private Format Compilation",
   "zh": "多厂商私有格式编译",
   "level": "l2"
  },
  "CAP_baba0ca6": {
   "en": "Private Format Compilation",
   "zh": "私有格式编译",
   "level": "l3"
  },
  "CAP_bcfaf986": {
   "en": "Coral Multi-model Co-compilation",
   "zh": "Coral 多模型联合编译",
   "level": "l3"
  },
  "CAP_1a38c592": {
   "en": "Coral Segmented Pipeline Compilation",
   "zh": "Coral 分段流水线编译",
   "level": "l3"
  },
  "CAP_e2621633": {
   "en": "Board Inference with Vendor Runtime",
   "zh": "板端推理（厂商运行时）",
   "level": "l2"
  },
  "CAP_a9c1ea12": {
   "en": "Vendor Runtime Inference",
   "zh": "厂商运行时推理",
   "level": "l3"
  },
  "CAP_1a0a8aa3": {
   "en": "Board Performance Profiling",
   "zh": "板端性能剖析",
   "level": "l3"
  },
  "CAP_ed0fc415": {
   "en": "Model Import & IR Generation",
   "zh": "模型导入与IR生成",
   "level": "l3"
  },
  "CAP_f2959e11": {
   "en": "Graph Optimization & Operator Fusion",
   "zh": "图优化与算子融合",
   "level": "l3"
  },
  "CAP_13e11a7e": {
   "en": "Auto-Tuning & EP Selection",
   "zh": "自动调优与EP选择",
   "level": "l2"
  },
  "CAP_653207b7": {
   "en": "TVM Auto-Tuning",
   "zh": "TVM自动调优",
   "level": "l3"
  },
  "CAP_3865e8ba": {
   "en": "ORT EP Selection",
   "zh": "ORT执行提供者选择",
   "level": "l3"
  },
  "CAP_e837f127": {
   "en": "Quantization",
   "zh": "量化",
   "level": "l3"
  },
  "CAP_f1083a6b": {
   "en": "Compilation & Runtime Execution",
   "zh": "编译与运行时执行",
   "level": "l3"
  },
  "CAP_b4719482": {
   "en": "Cross-Platform IR Import",
   "zh": "跨平台IR导入",
   "level": "l2"
  },
  "CAP_bf83f546": {
   "en": "Backend Compilation & Tuning",
   "zh": "后端编译与调优",
   "level": "l2"
  },
  "CAP_d2368eb4": {
   "en": "TVM Auto-Tuning Compilation",
   "zh": "TVM自动调优编译",
   "level": "l3"
  },
  "CAP_e062bcce": {
   "en": "ORT Execution Provider Switching",
   "zh": "ORT执行提供者切换",
   "level": "l3"
  },
  "CAP_f0a4de1f": {
   "en": "Model Quantization",
   "zh": "模型量化",
   "level": "l2"
  },
  "CAP_03fc1b52": {
   "en": "ORT Dynamic Quantization",
   "zh": "ORT动态量化",
   "level": "l3"
  },
  "CAP_11f7d926": {
   "en": "NNCF Post-Training Quantization",
   "zh": "NNCF训练后量化",
   "level": "l3"
  },
  "CAP_83aed702": {
   "en": "Inference Deployment & Execution",
   "zh": "推理部署与执行",
   "level": "l2"
  },
  "CAP_549a6bde": {
   "en": "TVM Graph & Target Compilation",
   "zh": "TVM计算图与目标编译",
   "level": "l3"
  },
  "CAP_7d79f61b": {
   "en": "ncnn Mobile Inference Deployment",
   "zh": "ncnn移动端推理部署",
   "level": "l3"
  },
  "CAP_6c6649d9": {
   "en": "OpenVINO Compile & Deploy",
   "zh": "OpenVINO编译与部署",
   "level": "l3"
  },
  "CAP_1069e46d": {
   "en": "GGUF Conversion and INT4 Quantization",
   "zh": "GGUF转换与INT4量化",
   "level": "l2"
  },
  "CAP_7f1d6667": {
   "en": "VLA Model Weight Acquisition",
   "zh": "VLA模型权重获取",
   "level": "l3"
  },
  "CAP_c817b8da": {
   "en": "HF to GGUF Conversion",
   "zh": "HF到GGUF转换",
   "level": "l3"
  },
  "CAP_6831408a": {
   "en": "INT4 K-Quant Quantization",
   "zh": "INT4 K-Quant量化",
   "level": "l3"
  },
  "CAP_c36f93ba": {
   "en": "SigLIP mmproj Export",
   "zh": "SigLIP mmproj导出",
   "level": "l3"
  },
  "CAP_4836b154": {
   "en": "llama.cpp Engine Build and Serving",
   "zh": "llama.cpp引擎构建与服务化",
   "level": "l2"
  },
  "CAP_fd77a5fa": {
   "en": "llama.cpp Engine Build",
   "zh": "llama.cpp引擎编译",
   "level": "l3"
  },
  "CAP_d6953852": {
   "en": "Persistent HTTP Server Launch",
   "zh": "持久化HTTP服务启动",
   "level": "l3"
  },
  "CAP_b171b3b5": {
   "en": "Foreground Session Inference",
   "zh": "Foreground会话推理",
   "level": "l2"
  },
  "CAP_07599fb9": {
   "en": "Foreground Session Data Assembly",
   "zh": "Foreground会话数据组装",
   "level": "l3"
  },
  "CAP_542b066e": {
   "en": "VLA Inference Execution",
   "zh": "VLA推理执行",
   "level": "l3"
  },
  "CAP_03c6fad1": {
   "en": "FAAC Future Correction",
   "zh": "FAAC未来校正",
   "level": "l3"
  },
  "CAP_8d0dca04": {
   "en": "Confidence-based Scheduling",
   "zh": "置信度调度",
   "level": "l3"
  },
  "CAP_34fcb6e6": {
   "en": "CUDA Graph and Buffer Optimization",
   "zh": "CUDA Graph与缓冲优化",
   "level": "l3"
  },
  "CAP_87b7e5ab": {
   "en": "End-to-End Evaluation on LIBERO",
   "zh": "LIBERO端到端评测",
   "level": "l2"
  },
  "CAP_81408b9e": {
   "en": "LIBERO Benchmark Evaluation",
   "zh": "LIBERO基准评测",
   "level": "l3"
  },
  "CAP_057fae0f": {
   "en": "VLA Model Compression & GGUF Conversion",
   "zh": "VLA模型压缩与GGUF转换",
   "level": "l2"
  },
  "CAP_25670f4e": {
   "en": "VLA Weight to GGUF Conversion",
   "zh": "VLA权重转GGUF",
   "level": "l3"
  },
  "CAP_4cee0440": {
   "en": "GGUF INT4 Quantization",
   "zh": "GGUF INT4量化",
   "level": "l3"
  },
  "CAP_4ce3d3ca": {
   "en": "Vision Encoder mmproj Export",
   "zh": "视觉编码器mmproj导出",
   "level": "l3"
  },
  "CAP_a1e294dc": {
   "en": "Edge VLA Inference Server",
   "zh": "边缘VLA推理服务",
   "level": "l2"
  },
  "CAP_3133c7f6": {
   "en": "llama.cpp Edge Engine Build",
   "zh": "llama.cpp边缘引擎构建",
   "level": "l3"
  },
  "CAP_9b604f8b": {
   "en": "Persistent Foreground Server",
   "zh": "持久化前台服务",
   "level": "l3"
  },
  "CAP_03d1f9a0": {
   "en": "Foreground Inference Protocol",
   "zh": "前台推理协议",
   "level": "l3"
  },
  "CAP_4265c784": {
   "en": "Asynchronous Acceleration & Scheduling",
   "zh": "异步加速与调度",
   "level": "l2"
  },
  "CAP_bd6993ea": {
   "en": "End-to-End VLA Evaluation",
   "zh": "端到端VLA评测",
   "level": "l2"
  },
  "CAP_f1105799": {
   "en": "LIBERO Evaluation",
   "zh": "LIBERO评测",
   "level": "l3"
  },
  "CAP_1ba1c508": {
   "en": "VLA Model Compression",
   "zh": "VLA模型压缩",
   "level": "l2"
  },
  "CAP_bf5cab1d": {
   "en": "Jetson Edge Inference",
   "zh": "Jetson边缘推理",
   "level": "l2"
  },
  "CAP_de6148a4": {
   "en": "llama.cpp Deployment",
   "zh": "llama.cpp部署",
   "level": "l3"
  },
  "CAP_324345b7": {
   "en": "VLA Edge Deployment",
   "zh": "VLA边缘部署",
   "level": "l2"
  },
  "CAP_90a54141": {
   "en": "CUDA Graph Optimization",
   "zh": "CUDA图优化",
   "level": "l2"
  },
  "CAP_297178a5": {
   "en": "Hazard Trigger Condition Modeling",
   "zh": "危害触发条件建模",
   "level": "l2"
  },
  "CAP_78bbff8d": {
   "en": "Asset and Exposure Declaration",
   "zh": "资产与暴露模式声明",
   "level": "l3"
  },
  "CAP_63fab9de": {
   "en": "Hazard Causal Chain Construction",
   "zh": "危害因果链构建",
   "level": "l3"
  },
  "CAP_3a6f764c": {
   "en": "Adversarial Scenario Optimization Generation",
   "zh": "对抗场景优化生成",
   "level": "l2"
  },
  "CAP_7b203537": {
   "en": "Attacker Identification and Role Assignment",
   "zh": "攻击者识别与角色分配",
   "level": "l3"
  },
  "CAP_c7e36b33": {
   "en": "Intent Labeling and Behavior Library",
   "zh": "意图标签化行为库",
   "level": "l3"
  },
  "CAP_6df0ec3c": {
   "en": "Adversarial Trajectory Synthesis",
   "zh": "对抗轨迹合成",
   "level": "l3"
  },
  "CAP_7f08b7f4": {
   "en": "Naturalistic Driving Prior Calibration",
   "zh": "自然驾驶先验校准",
   "level": "l3"
  },
  "CAP_f80fbfee": {
   "en": "Closed-loop Simulation and Failure Assessment",
   "zh": "闭环仿真执行与失效判定",
   "level": "l2"
  },
  "CAP_2ca69ae2": {
   "en": "ScenarioRunner Scenario Execution and Metrics Collection",
   "zh": "ScenarioRunner场景执行与指标采集",
   "level": "l3"
  },
  "CAP_29d836b5": {
   "en": "Failure Assessment and Metrics Collection",
   "zh": "失效判定与指标采集",
   "level": "l3"
  },
  "CAP_af52b25f": {
   "en": "Result Feedback and Policy Hardening",
   "zh": "结果回灌与策略加固",
   "level": "l2"
  },
  "CAP_f974f7ba": {
   "en": "Adversarial Scenario Dataset Export",
   "zh": "对抗场景数据集产出",
   "level": "l3"
  },
  "CAP_5a34dc0f": {
   "en": "Safety Policy Adversarial Fine-tuning",
   "zh": "安全策略对抗微调",
   "level": "l3"
  },
  "CAP_38ae31a1": {
   "en": "Adversarial Scenario Generation",
   "zh": "对抗场景生成",
   "level": "l2"
  },
  "CAP_423382ae": {
   "en": "Adversarial Optimization",
   "zh": "对抗优化",
   "level": "l3"
  },
  "CAP_408cfa95": {
   "en": "LLM-based Attacker Coordination",
   "zh": "基于LLM的攻击者协调",
   "level": "l3"
  },
  "CAP_a2a09e61": {
   "en": "Scenario Execution and Metrics Collection",
   "zh": "场景执行与指标采集",
   "level": "l2"
  },
  "CAP_aeb15449": {
   "en": "Safety Policy Learning",
   "zh": "安全策略学习",
   "level": "l2"
  },
  "CAP_2c0d2566": {
   "en": "Safety Policy Fine-tuning",
   "zh": "安全策略微调",
   "level": "l3"
  },
  "CAP_21d15044": {
   "en": "Knowledge Base Construction",
   "zh": "知识库构建",
   "level": "l3"
  },
  "CAP_f23ef253": {
   "en": "LLM-based Scenario Composition",
   "zh": "基于LLM的场景组合生成",
   "level": "l2"
  },
  "CAP_2d441502": {
   "en": "Instruction Parsing and Intent Extraction",
   "zh": "指令解析与意图提取",
   "level": "l3"
  },
  "CAP_58844eae": {
   "en": "LLM Scenario Description Generation",
   "zh": "LLM场景描述生成",
   "level": "l3"
  },
  "CAP_91241952": {
   "en": "Sub-description Decomposition",
   "zh": "子描述分解",
   "level": "l3"
  },
  "CAP_fb113355": {
   "en": "Description Encoding and Fragment Retrieval",
   "zh": "描述编码与片段检索",
   "level": "l3"
  },
  "CAP_a3d21e70": {
   "en": "Scenic Code Assembly",
   "zh": "Scenic代码组装",
   "level": "l3"
  },
  "CAP_75349181": {
   "en": "Simulation Execution and Evaluation",
   "zh": "仿真执行与评测",
   "level": "l2"
  },
  "CAP_695f4257": {
   "en": "Collision Rate Evaluation",
   "zh": "碰撞率指标评测",
   "level": "l3"
  },
  "CAP_9ee7034a": {
   "en": "Adversarial Fine-tuning",
   "zh": "对抗微调",
   "level": "l2"
  },
  "CAP_c258ed16": {
   "en": "Adversarial Fine-tuning Data Selection",
   "zh": "对抗微调数据筛选",
   "level": "l3"
  },
  "CAP_56ff2e4b": {
   "en": "RL Ego Adversarial Fine-tuning",
   "zh": "RL自车对抗微调",
   "level": "l3"
  },
  "CAP_a33f284a": {
   "en": "Diffusion Model Training Pipeline",
   "zh": "扩散模型训练流水线",
   "level": "l2"
  },
  "CAP_5398497a": {
   "en": "Trajectory Data Preprocessing and Scene Segmentation",
   "zh": "轨迹数据预处理与场景切分",
   "level": "l3"
  },
  "CAP_9d65ac4e": {
   "en": "Scene Latent Space Encoding",
   "zh": "场景潜空间编码",
   "level": "l3"
  },
  "CAP_7bef1b0e": {
   "en": "Latent Diffusion Model Training",
   "zh": "潜扩散模型训练",
   "level": "l3"
  },
  "CAP_7066a77d": {
   "en": "LLM-based Guidance Generation",
   "zh": "基于LLM的引导生成",
   "level": "l2"
  },
  "CAP_1b2d375c": {
   "en": "User Query Parsing and System Prompting",
   "zh": "用户查询解析与系统提示",
   "level": "l3"
  },
  "CAP_1e84bc15": {
   "en": "Guidance Function Code Generation",
   "zh": "引导函数代码生成",
   "level": "l3"
  },
  "CAP_23782f33": {
   "en": "Guidance Code Debugger",
   "zh": "引导代码调试器",
   "level": "l3"
  },
  "CAP_6aa11c88": {
   "en": "Conditional Denoising Sampling",
   "zh": "条件去噪采样",
   "level": "l3"
  },
  "CAP_1201bae0": {
   "en": "Adversarial Intensity and Behavior Control",
   "zh": "对抗强度与行为控制",
   "level": "l3"
  },
  "CAP_d51a69a6": {
   "en": "Closed-loop Evaluation and Ablation",
   "zh": "闭环评估与消融",
   "level": "l2"
  },
  "CAP_0ce93c2c": {
   "en": "Closed-loop Simulation Execution",
   "zh": "闭环仿真执行",
   "level": "l3"
  },
  "CAP_3a4f34d9": {
   "en": "Realism Metrics Evaluation and Ablation",
   "zh": "真实性指标评估与消融",
   "level": "l3"
  },
  "CAP_6a1f4f22": {
   "en": "Expected Functionality and ODD Specification",
   "zh": "预期功能与ODD规格",
   "level": "l3"
  },
  "CAP_b5f7ac70": {
   "en": "HAZOP Hazard Identification",
   "zh": "HAZOP引导词-参数矩阵危害识别",
   "level": "l3"
  },
  "CAP_f6b751cf": {
   "en": "Trigger Condition and Functional Insufficiency Analysis",
   "zh": "触发条件与功能不足分析",
   "level": "l3"
  },
  "CAP_76277ec1": {
   "en": "Hazard Scenario Structure Mapping",
   "zh": "危害场景结构映射",
   "level": "l3"
  },
  "CAP_40d2b148": {
   "en": "OpenSCENARIO Template Parameterization",
   "zh": "OpenSCENARIO参数化模板生成",
   "level": "l3"
  },
  "CAP_09e5ac3e": {
   "en": "Parameter Space Boundary Sampling",
   "zh": "参数空间边界值采样",
   "level": "l3"
  },
  "CAP_442e1b6e": {
   "en": "Test Case Prioritization",
   "zh": "场景用例优先级排序",
   "level": "l3"
  },
  "CAP_a0dc3743": {
   "en": "Scenario Execution and Coverage Evaluation",
   "zh": "场景执行与覆盖率评估",
   "level": "l3"
  },
  "CAP_fe98b147": {
   "en": "Four-Quadrant Classification and Residual Risk Argumentation",
   "zh": "四象限分类与残余风险论证",
   "level": "l3"
  },
  "CAP_8022d531": {
   "en": "SOTIF Hazard and Triggering Condition Analysis",
   "zh": "SOTIF危害与触发条件分析",
   "level": "l2"
  },
  "CAP_6120d0f6": {
   "en": "Systematic Parameter Space Enumeration",
   "zh": "系统化参数空间枚举",
   "level": "l2"
  },
  "CAP_916cb796": {
   "en": "SOTIF Scenario Test Suite Management",
   "zh": "SOTIF场景测试套件管理",
   "level": "l2"
  },
  "CAP_ba517ffd": {
   "en": "KubeEdge Cloud Control Plane",
   "zh": "KubeEdge 云端控制面",
   "level": "l2"
  },
  "CAP_8eb103dd": {
   "en": "KubeEdge Edge Runtime",
   "zh": "KubeEdge 边缘运行时",
   "level": "l2"
  },
  "CAP_8aa4d6c2": {
   "en": "CloudHub Cloud-Edge Message Channel",
   "zh": "CloudHub 云边消息通道",
   "level": "l3"
  },
  "CAP_c6569bd5": {
   "en": "Edge Node and Pod Metadata Controller",
   "zh": "边缘节点与 Pod 元数据控制器",
   "level": "l3"
  },
  "CAP_5d323863": {
   "en": "Device Controller",
   "zh": "设备控制器",
   "level": "l3"
  },
  "CAP_77ccfdfb": {
   "en": "EdgeHub Edge Connection",
   "zh": "EdgeHub 边缘连接",
   "level": "l3"
  },
  "CAP_34889557": {
   "en": "MetaManager Metadata Sync",
   "zh": "MetaManager 元数据同步",
   "level": "l3"
  },
  "CAP_eb9a4fe1": {
   "en": "Device Twin Synchronization",
   "zh": "设备孪生同步",
   "level": "l3"
  },
  "CAP_96064613": {
   "en": "Edge Autonomy",
   "zh": "边缘自治",
   "level": "l3"
  },
  "CAP_0f797fd6": {
   "en": "设备孪生三态同步",
   "zh": "设备孪生三态同步",
   "level": "l3"
  },
  "CAP_11fc88cf": {
   "en": "OpenYurt 边缘自治体系",
   "zh": "OpenYurt 边缘自治体系",
   "level": "l2"
  },
  "CAP_cb4aaf99": {
   "en": "OpenYurt 运维通道与分区编排",
   "zh": "OpenYurt 运维通道与分区编排",
   "level": "l2"
  },
  "CAP_c4560a8c": {
   "en": "OpenYurt Cloud Control Plane",
   "zh": "OpenYurt 云端控制面",
   "level": "l3"
  },
  "CAP_930a05e2": {
   "en": "OpenYurt Node Conversion",
   "zh": "OpenYurt 节点转换",
   "level": "l3"
  },
  "CAP_63c72cb8": {
   "en": "YurtHub Local Cache",
   "zh": "YurtHub 本地缓存",
   "level": "l3"
  },
  "CAP_f8c22c25": {
   "en": "YurtHub Traffic Closure",
   "zh": "YurtHub 流量闭环",
   "level": "l3"
  },
  "CAP_5ca7c886": {
   "en": "OpenYurt Tunnel",
   "zh": "OpenYurt 反向运维通道",
   "level": "l3"
  },
  "CAP_3c5e55b3": {
   "en": "OpenYurt Pooling",
   "zh": "OpenYurt 节点池分区编排",
   "level": "l3"
  },
  "CAP_ac97f5da": {
   "en": "OpenYurt Raven",
   "zh": "OpenYurt 跨域通信",
   "level": "l3"
  },
  "CAP_1a97d88d": {
   "en": "OpenYurt 集群转换工具",
   "zh": "OpenYurt 集群转换工具",
   "level": "l3"
  },
  "CAP_08f7ea57": {
   "en": "YurtTunnel 反向运维通道",
   "zh": "YurtTunnel 反向运维通道",
   "level": "l3"
  },
  "CAP_ba26354b": {
   "en": "Raven 跨域通信",
   "zh": "Raven 跨域通信",
   "level": "l3"
  },
  "CAP_857560ae": {
   "en": "NodePool 与分区工作负载",
   "zh": "NodePool 与分区工作负载",
   "level": "l3"
  },
  "CAP_c990966b": {
   "en": "Edge Node Initialization and Connection",
   "zh": "边缘节点初始化与连接建立",
   "level": "l2"
  },
  "CAP_f5977611": {
   "en": "YurtHub Proxy Initialization",
   "zh": "YurtHub 代理初始化",
   "level": "l3"
  },
  "CAP_94bf398b": {
   "en": "Local Storage and Certificate Setup",
   "zh": "本地存储与证书设置",
   "level": "l3"
  },
  "CAP_c82e2493": {
   "en": "Edge Autonomy and Local Resource Management",
   "zh": "边缘自治与本地资源管理",
   "level": "l2"
  },
  "CAP_8ee8dee7": {
   "en": "Local Cache Serving",
   "zh": "本地缓存服务",
   "level": "l3"
  },
  "CAP_15befb7d": {
   "en": "Edge Autonomy Controller",
   "zh": "边缘自治控制器",
   "level": "l3"
  },
  "CAP_a8ca0c37": {
   "en": "Cross-Domain Communication and Tunneling",
   "zh": "跨网络域通信与隧道建立",
   "level": "l2"
  },
  "CAP_554aa4cc": {
   "en": "YurtTunnel Server Setup",
   "zh": "YurtTunnel 服务端设置",
   "level": "l3"
  },
  "CAP_6daa8157": {
   "en": "YurtTunnel Agent Connection",
   "zh": "YurtTunnel 代理连接",
   "level": "l3"
  },
  "CAP_c6126084": {
   "en": "Raven Cross-Edge Communication",
   "zh": "Raven 跨边缘通信",
   "level": "l3"
  },
  "CAP_6891df41": {
   "en": "FogROS2 Cloud Deployment System",
   "zh": "FogROS2 云端部署体系",
   "level": "l2"
  },
  "CAP_afd11757": {
   "en": "FogROS2 Media Streaming and Observation",
   "zh": "FogROS2 媒体流与观测",
   "level": "l2"
  },
  "CAP_0306d039": {
   "en": "Launch System Extension",
   "zh": "launch 系统扩展",
   "level": "l3"
  },
  "CAP_3ea89025": {
   "en": "Region and Instance Type Auto-Selection",
   "zh": "region 与机型自动选择",
   "level": "l3"
  },
  "CAP_3b18e2bd": {
   "en": "Cloud Instance Provisioning",
   "zh": "云实例创建",
   "level": "l3"
  },
  "CAP_9b34ab45": {
   "en": "WireGuard VPN",
   "zh": "WireGuard 虚拟专用网络",
   "level": "l3"
  },
  "CAP_68e03d77": {
   "en": "Workspace Copy",
   "zh": "ROS 工作区拷贝",
   "level": "l3"
  },
  "CAP_e64fa33d": {
   "en": "DDS Configuration",
   "zh": "DDS 配置",
   "level": "l3"
  },
  "CAP_3e215335": {
   "en": "Image Stream Compression",
   "zh": "图像流压缩",
   "level": "l3"
  },
  "CAP_3c5d1034": {
   "en": "Foxglove Integration",
   "zh": "Foxglove 集成",
   "level": "l3"
  },
  "CAP_589e8e3a": {
   "en": "FogROS2 CLI",
   "zh": "FogROS2 命令行工具",
   "level": "l3"
  },
  "CAP_6a9f64fc": {
   "en": "FogROS2 Environment Setup",
   "zh": "FogROS2 环境准备",
   "level": "l2"
  },
  "CAP_42ed7232": {
   "en": "Workspace Synchronization",
   "zh": "工作空间同步",
   "level": "l3"
  },
  "CAP_26cf5ea9": {
   "en": "CycloneDDS Configuration",
   "zh": "CycloneDDS 配置",
   "level": "l3"
  },
  "CAP_8c032515": {
   "en": "Cloud Offloading Communication",
   "zh": "云卸载通信建立",
   "level": "l2"
  },
  "CAP_8188a76d": {
   "en": "WireGuard Tunnel Establishment",
   "zh": "WireGuard 隧道建立",
   "level": "l3"
  },
  "CAP_ee24c80f": {
   "en": "Cloud Node Launch",
   "zh": "云节点启动",
   "level": "l3"
  },
  "CAP_a7065a61": {
   "en": "Cloud Computation Offloading",
   "zh": "云计算卸载",
   "level": "l2"
  },
  "CAP_c51d7342": {
   "en": "H.264 Image Compression",
   "zh": "H.264 图像压缩",
   "level": "l3"
  },
  "CAP_3c184634": {
   "en": "Cloud Computation Execution",
   "zh": "云计算执行",
   "level": "l3"
  },
  "CAP_dc36eb6d": {
   "en": "FogROS2 Monitoring and Operations",
   "zh": "FogROS2 监控与运维",
   "level": "l2"
  },
  "CAP_32d13031": {
   "en": "Edge Cloud Telemetry Streaming Pipeline",
   "zh": "边云遥测流式管道",
   "level": "l2"
  },
  "CAP_81842e2d": {
   "en": "OTLP Edge to Cloud Export",
   "zh": "OTLP 边云导出",
   "level": "l3"
  },
  "CAP_88855d6e": {
   "en": "Edge Recording to Cloud Dataset Pipeline",
   "zh": "边端录制到云端数据集管道",
   "level": "l2"
  },
  "CAP_69b5eb43": {
   "en": "Cloud Bag Upload and Index",
   "zh": "录包云端上传与索引",
   "level": "l3"
  },
  "CAP_beb14747": {
   "en": "HF Hub Dataset Versioned Publish",
   "zh": "HF Hub 数据集版本化发布",
   "level": "l3"
  },
  "CAP_9aff66fe": {
   "en": "Unified Batch Stream Processing Pipeline",
   "zh": "统一批流处理管道",
   "level": "l2"
  },
  "CAP_006705cf": {
   "en": "Lineage Graph Construction",
   "zh": "血缘图谱构建",
   "level": "l3"
  },
  "CAP_80d8fa9d": {
   "en": "Column Lineage Query",
   "zh": "字段级血缘查询",
   "level": "l3"
  },
  "CAP_e8bbe016": {
   "en": "Cloud Edge ROS2 Compute Graph Pipeline",
   "zh": "云边 ROS2 计算图管道",
   "level": "l2"
  },
  "CAP_82228cce": {
   "en": "Autonomous Pod Lifecycle Management",
   "zh": "自治 Pod 生命周期管理",
   "level": "l3"
  },
  "CAP_e118666b": {
   "en": "Cloud-Edge State Reconciliation",
   "zh": "云边状态对账",
   "level": "l3"
  },
  "CAP_48b6333f": {
   "en": "MEC Service Cache Placement",
   "zh": "MEC 服务缓存放置",
   "level": "l2"
  },
  "CAP_fb866306": {
   "en": "MEC Service Cache State Sensing",
   "zh": "MEC 服务缓存状态感知",
   "level": "l3"
  },
  "CAP_29c36ad7": {
   "en": "Service Cache Hit Miss Query",
   "zh": "服务缓存命中查询",
   "level": "l3"
  },
  "CAP_efc6b7eb": {
   "en": "Service Cache Capacity Decision",
   "zh": "服务缓存容量约束放置决策",
   "level": "l3"
  },
  "CAP_6de40a06": {
   "en": "Cooperative Workload Scheduling",
   "zh": "协作工作负载调度",
   "level": "l3"
  },
  "CAP_56ab7230": {
   "en": "Cache Eviction Policy",
   "zh": "缓存淘汰策略",
   "level": "l3"
  },
  "CAP_87b4424a": {
   "en": "MEC Task Execution and Queueing",
   "zh": "MEC 任务执行与排队",
   "level": "l3"
  },
  "CAP_e29c4c2e": {
   "en": "Foundation Model Caching and On-Demand Inference",
   "zh": "基础模型缓存与按需推理",
   "level": "l2"
  },
  "CAP_eeb74d0a": {
   "en": "Edge GPU Memory and Cache State Sensing",
   "zh": "边缘 GPU 内存与缓存状态感知",
   "level": "l3"
  },
  "CAP_05a43506": {
   "en": "Model Cache Hit Miss Query",
   "zh": "模型缓存命中查询",
   "level": "l3"
  },
  "CAP_6fa0bf9c": {
   "en": "Least Context Cache Placement",
   "zh": "最小上下文缓存放置",
   "level": "l3"
  },
  "CAP_e2374fe3": {
   "en": "Model Eviction Under GPU Memory Constraint",
   "zh": "GPU 内存约束下模型淘汰",
   "level": "l3"
  },
  "CAP_ee1fbc68": {
   "en": "Age of Context Computation and Update",
   "zh": "上下文年龄计算与更新",
   "level": "l3"
  },
  "CAP_e424ac3a": {
   "en": "Incremental Model Partition Upload",
   "zh": "增量模型分区上传",
   "level": "l3"
  },
  "CAP_37b0bec7": {
   "en": "Foundation Model Inference Execution",
   "zh": "基础模型推理执行",
   "level": "l3"
  },
  "CAP_a52431b8": {
   "en": "KV Prefix Cache",
   "zh": "KV前缀缓存",
   "level": "l2"
  },
  "CAP_a0129b3f": {
   "en": "Chunked Prefill Computation",
   "zh": "分块预填充计算",
   "level": "l3"
  },
  "CAP_df30adc9": {
   "en": "LRU KV Cache Eviction",
   "zh": "LRU KV缓存淘汰",
   "level": "l3"
  },
  "CAP_3ade1a9b": {
   "en": "K8s Stateless Deployment",
   "zh": "K8s 无状态 Deployment 编排",
   "level": "l3"
  },
  "CAP_cd146447": {
   "en": "Robot CRD Deployment and Management",
   "zh": "机器人 CRD 部署与管理",
   "level": "l3"
  },
  "CAP_045ade2b": {
   "en": "ROS2 Native Package Build and Release",
   "zh": "ROS2 原生包构建与发布",
   "level": "l2"
  },
  "CAP_de0b15ea": {
   "en": "ROS Apt Package Installation",
   "zh": "ROS apt 包安装",
   "level": "l3"
  },
  "CAP_07d69c38": {
   "en": "Update Import and Device Twin Grouping",
   "zh": "更新导入与设备孪生分组",
   "level": "l3"
  },
  "CAP_4f6ea254": {
   "en": "Connected Cache Offline Gateway Update",
   "zh": "Connected Cache 离线网关更新",
   "level": "l3"
  },
  "CAP_310eb0b2": {
   "en": "Image and Package Update Deployment",
   "zh": "image/package 更新部署",
   "level": "l3"
  },
  "CAP_b9adbc50": {
   "en": "Automatic Update Rollback",
   "zh": "自动更新回滚",
   "level": "l3"
  },
  "CAP_e5ad8aba": {
   "en": "End-to-End Multi-View Hand Tracking",
   "zh": "多视图端到端手部追踪",
   "level": "l2"
  },
  "CAP_34e0cf7e": {
   "en": "Egocentric Multi-View Fisheye Capture",
   "zh": "第一人称多视图鱼眼采集",
   "level": "l3"
  },
  "CAP_569ebc86": {
   "en": "Perspective Crop Normalization",
   "zh": "透视裁剪归一化",
   "level": "l3"
  },
  "CAP_f4f23aa0": {
   "en": "Multi-View Feature Fusion",
   "zh": "多视图特征融合",
   "level": "l3"
  },
  "CAP_37ca4f6e": {
   "en": "World-Space Hand Pose Regression",
   "zh": "世界空间手部姿态回归",
   "level": "l3"
  },
  "CAP_2eead806": {
   "en": "Hand Pose Evaluation",
   "zh": "手部姿态评估",
   "level": "l3"
  },
  "CAP_3837af75": {
   "en": "Model-Based Hand Tracking",
   "zh": "基于模型的手部追踪",
   "level": "l2"
  },
  "CAP_e557f931": {
   "en": "Fisheye Hand Detection",
   "zh": "鱼眼手部检测",
   "level": "l3"
  },
  "CAP_84da7abe": {
   "en": "Per-View Hand Keypoint Detection",
   "zh": "逐视图手部关键点检测",
   "level": "l3"
  },
  "CAP_2b25a7b7": {
   "en": "Multi-View Keypoint Triangulation",
   "zh": "多视图关键点三角化",
   "level": "l3"
  },
  "CAP_1f6e8a8c": {
   "en": "MANO Model Fitting Optimization",
   "zh": "MANO 模型拟合优化",
   "level": "l3"
  },
  "CAP_0ca08631": {
   "en": "Hand Pose Temporal Smoothing",
   "zh": "手部姿态时序平滑",
   "level": "l3"
  },
  "CAP_c178d8da": {
   "en": "Event-Based Hand Pose Estimation",
   "zh": "事件相机手部姿态估计",
   "level": "l2"
  },
  "CAP_2cf15d80": {
   "en": "Stereo Event Stream Acquisition",
   "zh": "立体事件流采集",
   "level": "l3"
  },
  "CAP_9a5f66b9": {
   "en": "Event Representation Encoding",
   "zh": "事件表示编码",
   "level": "l3"
  },
  "CAP_b9d6704a": {
   "en": "Event Hand Pose Regression",
   "zh": "事件手部姿态回归",
   "level": "l3"
  },
  "CAP_8641358e": {
   "en": "Event-Based Gesture Recognition",
   "zh": "事件手势识别",
   "level": "l3"
  },
  "CAP_17be896b": {
   "en": "Regularization-based Lifelong Finetuning",
   "zh": "正则化式策略增量微调",
   "level": "l2"
  },
  "CAP_9ccba842": {
   "en": "Fisher Information Matrix Estimation",
   "zh": "Fisher 信息矩阵估计",
   "level": "l3"
  },
  "CAP_95b111ec": {
   "en": "EWC Catastrophic Forgetting Suppression",
   "zh": "EWC 灾难性遗忘抑制",
   "level": "l3"
  },
  "CAP_28682e51": {
   "en": "Offline EWC Penalty Accumulation",
   "zh": "离线EWC逐任务正则累积",
   "level": "l3"
  },
  "CAP_a57b6bb0": {
   "en": "Online EWC Consolidated Fisher",
   "zh": "在线EWC巩固Fisher滚动更新",
   "level": "l3"
  },
  "CAP_a96a4fa3": {
   "en": "Continual Learning Evaluation",
   "zh": "持续学习评估",
   "level": "l3"
  },
  "CAP_94ca875c": {
   "en": "Pure Electromagnet Force and Coil Driving",
   "zh": "纯电磁铁吸力计算与线圈驱动",
   "level": "l2"
  },
  "CAP_b5bab28b": {
   "en": "Electromagnetic Suction Force Calculation and Airgap Compensation",
   "zh": "电磁吸力计算与气隙/材质补偿",
   "level": "l3"
  },
  "CAP_a2f4221e": {
   "en": "DC Electromagnet Coil Driver with Flyback Protection",
   "zh": "DC电磁线圈驱动与续流/浪涌保护",
   "level": "l3"
  },
  "CAP_20ecbe9d": {
   "en": "Electromagnet Energize and Pickup Confirmation",
   "zh": "通电吸附与在位确认",
   "level": "l3"
  },
  "CAP_03ba38aa": {
   "en": "Electromagnet Transport Safety and Release",
   "zh": "电磁吸盘搬运安全与退磁释放",
   "level": "l2"
  },
  "CAP_555523b5": {
   "en": "Power-Loss Failsafe Retention",
   "zh": "断电掉件安全保险",
   "level": "l3"
  },
  "CAP_f3c05618": {
   "en": "Electromagnet Demagnetize Release",
   "zh": "断电退磁释放执行",
   "level": "l3"
  },
  "CAP_6390f0ed": {
   "en": "Gazebo Magnetic Attachment Modeling",
   "zh": "Gazebo磁性吸附约束建模",
   "level": "l3"
  },
  "CAP_e5985a7a": {
   "en": "EPM MAG/DEMAG Pulse Control",
   "zh": "EPM充退磁脉冲控制",
   "level": "l3"
  },
  "CAP_bb841163": {
   "en": "EPM Force Configuration and Part Detection",
   "zh": "电永磁力分级与零件在位检测",
   "level": "l2"
  },
  "CAP_e2f0155f": {
   "en": "Magnetic Force Step Configuration",
   "zh": "磁力分级配置",
   "level": "l3"
  },
  "CAP_ec3d26e9": {
   "en": "Magnetic Part Presence Detection",
   "zh": "磁性零件在位检测",
   "level": "l3"
  },
  "CAP_1f87e0b7": {
   "en": "EPM Array and Cobot Integration",
   "zh": "电永磁多磁体阵列与cobot集成",
   "level": "l2"
  },
  "CAP_d3064721": {
   "en": "Multi-Magnet Array Configuration",
   "zh": "多磁体阵列配置",
   "level": "l3"
  },
  "CAP_f681f55a": {
   "en": "EPM Quick Changer and Cobot Integration",
   "zh": "EPM快换与cobot集成",
   "level": "l3"
  },
  "CAP_6d1c3a47": {
   "en": "EPM Demagnetize Release",
   "zh": "电永磁退磁释放",
   "level": "l3"
  },
  "CAP_412dad27": {
   "en": "Gas Sensor Array Sensing",
   "zh": "气体传感器阵列感知",
   "level": "l2"
  },
  "CAP_e58829d5": {
   "en": "MOS Array Response Acquisition",
   "zh": "MOS阵列响应采集",
   "level": "l3"
  },
  "CAP_5ab1b5d0": {
   "en": "Sensor Response Baseline Correction",
   "zh": "传感器响应基线校正",
   "level": "l3"
  },
  "CAP_e080d22e": {
   "en": "Gas Response Representation",
   "zh": "气体响应特征表示",
   "level": "l2"
  },
  "CAP_077195a8": {
   "en": "Steady State Transient Feature Extraction",
   "zh": "稳态瞬态特征提取",
   "level": "l3"
  },
  "CAP_bd7a520a": {
   "en": "PCA LDA Dimensionality Reduction",
   "zh": "PCA LDA降维",
   "level": "l3"
  },
  "CAP_5b563054": {
   "en": "Gas Response 2D Representation",
   "zh": "气体响应2D表示",
   "level": "l3"
  },
  "CAP_26f916ea": {
   "en": "CNN Response Feature Learning",
   "zh": "CNN响应特征学习",
   "level": "l3"
  },
  "CAP_0d59a874": {
   "en": "Gas Odor Classification",
   "zh": "气体气味分类",
   "level": "l2"
  },
  "CAP_3830001a": {
   "en": "Classical Gas Classifier",
   "zh": "经典气体分类器",
   "level": "l3"
  },
  "CAP_66796f76": {
   "en": "Deep Gas Response Classifier",
   "zh": "深度气体响应分类器",
   "level": "l3"
  },
  "CAP_a79e939b": {
   "en": "Sensor Drift Robustness",
   "zh": "传感器漂移鲁棒性",
   "level": "l2"
  },
  "CAP_6d943bca": {
   "en": "Batch Drift Distribution Profiling",
   "zh": "batch漂移分布统计",
   "level": "l3"
  },
  "CAP_aea20102": {
   "en": "Drift Compensation Adaptation",
   "zh": "漂移补偿域适应",
   "level": "l3"
  },
  "CAP_576b64e1": {
   "en": "Probabilistic Elevation Fusion",
   "zh": "概率高程融合",
   "level": "l3"
  },
  "CAP_2c796378": {
   "en": "Pose-Uncertainty Height Variance Propagation",
   "zh": "位姿不确定度高程方差传播",
   "level": "l3"
  },
  "CAP_7c51e9a2": {
   "en": "Elevation Map Raw-Fused Layer Fusion",
   "zh": "高程栅格 raw-fused 双层融合",
   "level": "l3"
  },
  "CAP_83d4d4b3": {
   "en": "Multi-Modal Elevation Layer Fusion",
   "zh": "多模态高程层融合",
   "level": "l3"
  },
  "CAP_ec5ffd56": {
   "en": "Multi-Layer Elevation Grid Map Buffering",
   "zh": "多层高程栅格地图缓冲",
   "level": "l3"
  },
  "CAP_46e53b76": {
   "en": "Traversability Reprojection to Elevation Map",
   "zh": "可通行性投影到高程图",
   "level": "l3"
  },
  "CAP_62389fa6": {
   "en": "Per-Point Elevation Measurement Variance Estimation",
   "zh": "逐点高程测量方差估计",
   "level": "l3"
  },
  "CAP_d1f24dfb": {
   "en": "Robot-Centric Elevation Height Fusion",
   "zh": "机器人中心高程高度融合",
   "level": "l3"
  },
  "CAP_53c42451": {
   "en": "Global-Frame Elevation Tile Generation",
   "zh": "全局系高程子图生成",
   "level": "l3"
  },
  "CAP_22d77a95": {
   "en": "Deformable Submap Global Consistency",
   "zh": "可变形子图全局一致",
   "level": "l3"
  },
  "CAP_72231de0": {
   "en": "Loop Closure Detection",
   "zh": "回环检测",
   "level": "l3"
  },
  "CAP_fcbb6fbd": {
   "en": "Neural Elevation Map Completion (Self-Supervised U-Net)",
   "zh": "自监督 U-Net 神经高程补全",
   "level": "l3"
  },
  "CAP_4abfb502": {
   "en": "Vision-Based Long-Range Elevation Prediction (BEV Transformer)",
   "zh": "视觉长距高程预测（BEV Transformer）",
   "level": "l3"
  },
  "CAP_635e2950": {
   "en": "Learning-Based Terrain Navigability Segmentation (GANav)",
   "zh": "学习型地形可通行性分割（GANav）",
   "level": "l3"
  },
  "CAP_f93caed6": {
   "en": "Locomotion Feedback From Elevation Map",
   "zh": "高程图运动控制反馈",
   "level": "l3"
  },
  "CAP_79bc9b1d": {
   "en": "Lift Arrival Door Confirmation",
   "zh": "电梯到层与门态确认",
   "level": "l3"
  },
  "CAP_92457108": {
   "en": "Lift Ride Session Orchestration",
   "zh": "电梯乘行会话编排",
   "level": "l3"
  },
  "CAP_4621880b": {
   "en": "Elevator Button Detection Pressing",
   "zh": "电梯按钮检测与按压",
   "level": "l3"
  },
  "CAP_9b86ffe1": {
   "en": "Elevator Cabin Door Localization",
   "zh": "电梯门态判别与轿厢内定位",
   "level": "l3"
  },
  "CAP_b703f3a2": {
   "en": "Floor Arrival Detection",
   "zh": "楼层到达检测",
   "level": "l3"
  },
  "CAP_5e096038": {
   "en": "Embedded TCP/IP Stack Config",
   "zh": "嵌入式 TCP/IP 协议栈配置",
   "level": "l3"
  },
  "CAP_ec598376": {
   "en": "Embodied Spatial Reasoning Benchmark Evaluation",
   "zh": "具身空间推理基准评测",
   "level": "l2"
  },
  "CAP_d82e01db": {
   "en": "Spatial Relation Query Task Parsing",
   "zh": "空间关系查询任务解析",
   "level": "l3"
  },
  "CAP_e5bc755d": {
   "en": "Active Exploration Navigation for Evidence",
   "zh": "证据收集主动探索导航",
   "level": "l3"
  },
  "CAP_a27f12aa": {
   "en": "Spatial Relation Reasoning Judgment",
   "zh": "空间关系推理判定",
   "level": "l3"
  },
  "CAP_2338b7b2": {
   "en": "Spatial Reasoning Evaluation Metric Computation",
   "zh": "空间推理评测指标计算",
   "level": "l3"
  },
  "CAP_fa9b1ca0": {
   "en": "Long-Horizon Task Planning Benchmark Evaluation",
   "zh": "长程任务规划基准评测",
   "level": "l2"
  },
  "CAP_3ddf36b6": {
   "en": "CALVIN Benchmark Evaluation",
   "zh": "CALVIN benchmark评测",
   "level": "l3"
  },
  "CAP_737e45f2": {
   "en": "Unified Multidimensional Embodied Reasoning Benchmark Evaluation",
   "zh": "统一多维具身推理基准评测",
   "level": "l2"
  },
  "CAP_88342247": {
   "en": "Embodied Capability Taxonomy Benchmark Mapping",
   "zh": "具身能力分类法基准映射",
   "level": "l3"
  },
  "CAP_8c39e256": {
   "en": "Multi Competency VLA Benchmark Task Generation",
   "zh": "多能力 VLA benchmark 任务族生成",
   "level": "l3"
  },
  "CAP_01f729ae": {
   "en": "VLA Evaluation Execution Framework",
   "zh": "VLA 综合评测执行框架",
   "level": "l3"
  },
  "CAP_c0893859": {
   "en": "Dual-View Leaderboard Aggregation",
   "zh": "双视角排行榜聚合",
   "level": "l3"
  },
  "CAP_b717afe4": {
   "en": "Multimodal Token Generalist Policy",
   "zh": "多模态 Token 条件通才策略",
   "level": "l2"
  },
  "CAP_76f5a284": {
   "en": "Discrete Action Token Multi-Task Transformer",
   "zh": "离散动作 token 多任务 Transformer",
   "level": "l3"
  },
  "CAP_81b62912": {
   "en": "Environment Parameter Encoder RL Joint Training",
   "zh": "环境参数编码器 RL 联合训练",
   "level": "l3"
  },
  "CAP_7b88ef57": {
   "en": "Asynchronous Adaptation Module Inference",
   "zh": "异步适应模块推理",
   "level": "l3"
  },
  "CAP_bd1d0761": {
   "en": "VLA Domain LoRA Adapter Library",
   "zh": "VLA域LoRA适配器库",
   "level": "l2"
  },
  "CAP_632c8d9c": {
   "en": "EMI Source Excitation Configuration",
   "zh": "EMI 源激励配置",
   "level": "l3"
  },
  "CAP_4de40e14": {
   "en": "Near Field and Induced Signal Extraction",
   "zh": "近场与感应信号提取",
   "level": "l3"
  },
  "CAP_8b95d04f": {
   "en": "Radiated Emission Compliance Assessment",
   "zh": "辐射发射合规评估",
   "level": "l2"
  },
  "CAP_8a596392": {
   "en": "CISPR 16 Measurement Receiver Post-Processing",
   "zh": "CISPR 16 测量接收机后处理",
   "level": "l3"
  },
  "CAP_767783a8": {
   "en": "Radiated Emission Limit Line Compliance",
   "zh": "辐射发射限值线合规判定",
   "level": "l3"
  },
  "CAP_0af4b46b": {
   "en": "Coupling Coefficient Calculation",
   "zh": "耦合系数计算",
   "level": "l3"
  },
  "CAP_49e67488": {
   "en": "Broadband Fast Frequency Sweep",
   "zh": "宽带快速频率扫描",
   "level": "l3"
  },
  "CAP_48735d9e": {
   "en": "Shielding Effectiveness Field Calculator",
   "zh": "屏蔽效能场计算器后处理",
   "level": "l3"
  },
  "CAP_818a4d08": {
   "en": "IEC 61000-4-3 Plane Wave Illumination",
   "zh": "IEC 61000-4-3 平面波照射",
   "level": "l3"
  },
  "CAP_a490655a": {
   "en": "Radiated Immunity Compliance Assessment",
   "zh": "辐射抗扰度合规评估",
   "level": "l3"
  },
  "CAP_3b2af904": {
   "en": "SPICE Conducted Emission Circuit Modeling",
   "zh": "SPICE 传导发射电路建模",
   "level": "l2"
  },
  "CAP_e95cdf60": {
   "en": "LISN Model Setup",
   "zh": "LISN 模型配置",
   "level": "l3"
  },
  "CAP_5afd39da": {
   "en": "Common/Differential Mode Noise Separation",
   "zh": "共模/差模噪声分离",
   "level": "l3"
  },
  "CAP_4156aab6": {
   "en": "Conducted Emission Compliance and Filter Design",
   "zh": "传导发射合规与滤波器设计",
   "level": "l2"
  },
  "CAP_3d07739b": {
   "en": "CISPR 16 Conducted Emission Receiver Post-Processing",
   "zh": "CISPR 16 传导发射接收机后处理",
   "level": "l3"
  },
  "CAP_a81918d6": {
   "en": "Conducted Emission Limit Compliance Assessment",
   "zh": "传导发射限值合规判定",
   "level": "l3"
  },
  "CAP_c16cdb06": {
   "en": "EMI Filter Design Iteration",
   "zh": "EMI 滤波器设计迭代",
   "level": "l3"
  },
  "CAP_65139464": {
   "en": "FDTD Mesh and Boundary Setup",
   "zh": "FDTD网格与边界配置",
   "level": "l3"
  },
  "CAP_f715fac7": {
   "en": "FrequencyDomainFEMSolveWithAMR",
   "zh": "频域FEM自适应网格求解",
   "level": "l3"
  },
  "CAP_51fb18c3": {
   "en": "Emergency Stop Triggering Appropriateness Evaluation",
   "zh": "紧急停止触发恰当性评测",
   "level": "l3"
  },
  "CAP_c735242f": {
   "en": "E-stop Device Type Selection",
   "zh": "急停装置类型选型",
   "level": "l3"
  },
  "CAP_4eed9168": {
   "en": "E-stop Intuitive-Operation Design",
   "zh": "急停装置直观操作设计",
   "level": "l2"
  },
  "CAP_7cf5149b": {
   "en": "E-stop Color & Symbol Design",
   "zh": "急停配色与标识设计",
   "level": "l3"
  },
  "CAP_d091c7b164": {
   "en": "E-stop Actuating Force & Travel Ergonomics",
   "zh": "急停操作力与行程人因设计",
   "level": "l3"
  },
  "CAP_d2d66183": {
   "en": "E-stop Reset Method Design",
   "zh": "急停复位方式设计",
   "level": "l3"
  },
  "CAP_3ee23458": {
   "en": "Direct-Opening Contact Selection",
   "zh": "强制断开触点选型",
   "level": "l3"
  },
  "CAP_9be5dbe2bf": {
   "en": "E-stop IP Rating Environment Adaptation",
   "zh": "急停防护等级环境适配",
   "level": "l3"
  },
  "CAP_73395802": {
   "en": "E-stop Marking Permanence Verification",
   "zh": "急停标识永久性验证",
   "level": "l3"
  },
  "CAP_5e72a439": {
   "en": "E-stop Standard Compliance Checklist",
   "zh": "急停标准符合性核对",
   "level": "l3"
  },
  "CAP_ab35e4b575": {
   "en": "E-stop Workstation & Hazard Zone Mapping",
   "zh": "操作工位与危险区测绘",
   "level": "l3"
  },
  "CAP_8aa20241": {
   "en": "E-stop Geometric Placement",
   "zh": "急停位置几何布局",
   "level": "l2"
  },
  "CAP_2bb67efa": {
   "en": "E-stop Single-Workstation Placement",
   "zh": "单工位急停定位",
   "level": "l3"
  },
  "CAP_cc2184c688": {
   "en": "E-stop Multi-Workstation & Long-Line Distribution",
   "zh": "多工位与长线体急停分布",
   "level": "l3"
  },
  "CAP_47564b5e": {
   "en": "E-stop Obstruction & Visibility Check",
   "zh": "急停遮挡与可见性核查",
   "level": "l3"
  },
  "CAP_3cfa7c7925": {
   "en": "E-stop Reach Envelope & Mounting Height Layout",
   "zh": "急停可达包络与安装高度布局",
   "level": "l3"
  },
  "CAP_915f16daf1": {
   "en": "E-stop Reachability Field Acceptance",
   "zh": "急停可达性现场验收",
   "level": "l3"
  },
  "CAP_ea41c391e5": {
   "en": "Distributed E-stop Topology Design",
   "zh": "分布式急停拓扑设计",
   "level": "l2"
  },
  "CAP_34e6cc3db3": {
   "en": "E-stop Scenario and Demand Analysis",
   "zh": "急停操作场景与需求分析",
   "level": "l3"
  },
  "CAP_f5a7233e45": {
   "en": "E-stop Point Topology Planning",
   "zh": "急停点拓扑规划",
   "level": "l3"
  },
  "CAP_f53767dcb0": {
   "en": "Teach Pendant E-stop and Three-Position Enabling Switch Configuration",
   "zh": "示教器急停与三位使能开关配置",
   "level": "l3"
  },
  "CAP_877ac6cc72": {
   "en": "AGV E-stop Button Placement",
   "zh": "AGV急停按钮布置",
   "level": "l3"
  },
  "CAP_b9826c61b3": {
   "en": "Wireless E-stop System Deployment",
   "zh": "无线急停系统部署",
   "level": "l3"
  },
  "CAP_06aded62": {
   "en": "Distributed E-stop Reachability Acceptance",
   "zh": "分布式急停可达性验收",
   "level": "l3"
  },
  "CAP_c9691980": {
   "en": "Dual-Channel Safety Demand Acquisition",
   "zh": "双通道安全需求采集",
   "level": "l3"
  },
  "CAP_9d3090f3": {
   "en": "Safety Relay Module Control",
   "zh": "安全继电器模块控制",
   "level": "l3"
  },
  "CAP_20937292": {
   "en": "Safe Output and STO Contactor Integration",
   "zh": "安全输出与STO接触器集成",
   "level": "l3"
  },
  "CAP_a1c6332e": {
   "en": "Start Restart Interlock Feedback Loop",
   "zh": "启动重启互锁反馈回路",
   "level": "l3"
  },
  "CAP_77ca1f31": {
   "en": "Dual Channel Safety Relay Topology",
   "zh": "双通道安全继电器拓扑",
   "level": "l3"
  },
  "CAP_da7644a2": {
   "en": "SSM Protective Separation Distance Computation",
   "zh": "SSM 保护分离距离计算",
   "level": "l3"
  },
  "CAP_ae3afd42": {
   "en": "Emergency Stop Category Selection",
   "zh": "急停功能停止类别选择",
   "level": "l3"
  },
  "CAP_e1d75d26": {
   "en": "E-stop Pushbutton Redundant Contact Design",
   "zh": "急停按钮器件选型与冗余触点设计",
   "level": "l3"
  },
  "CAP_62d96bb5": {
   "en": "E-stop Contactor Power Cutoff",
   "zh": "急停主接触器动力切断执行",
   "level": "l3"
  },
  "CAP_47fe0f22": {
   "en": "Safe Brake Control Z Axis",
   "zh": "Z 轴安全制动控制",
   "level": "l3"
  },
  "CAP_2416c623": {
   "en": "Mobile Base E-stop Trigger Routing",
   "zh": "移动底盘急停触发源路由与仲裁",
   "level": "l3"
  },
  "CAP_73593d44": {
   "en": "Mobile Base Safety Braking",
   "zh": "移动底盘安全制动执行",
   "level": "l3"
  },
  "CAP_b718bc1e": {
   "en": "Monitor Action Decision and Command Override",
   "zh": "监控动作决策与命令改写",
   "level": "l3"
  },
  "CAP_8e6fbfa8": {
   "en": "Stop Point Computation",
   "zh": "停止点计算",
   "level": "l3"
  },
  "CAP_f68d3976": {
   "en": "Bio-inspired Self-organizing Flocking Migration",
   "zh": "生物启发自组织 Flocking 迁移",
   "level": "l2"
  },
  "CAP_8fa2cd0b": {
   "en": "Perception Radius Neighbor Query",
   "zh": "感知半径邻居查询",
   "level": "l3"
  },
  "CAP_6d9a08f3": {
   "en": "Boids Three-rule Vector Synthesis",
   "zh": "Boids 三规则向量合成",
   "level": "l3"
  },
  "CAP_0dcb576c": {
   "en": "BehaviorSpace Batch Parameter Scan",
   "zh": "BehaviorSpace 批量参数扫描",
   "level": "l3"
  },
  "CAP_9ef0d265": {
   "en": "Limited Behavior Fusion",
   "zh": "有限行为融合",
   "level": "l3"
  },
  "CAP_13324b70": {
   "en": "Flock Initialization",
   "zh": "群体初始化",
   "level": "l3"
  },
  "CAP_e00ddc6f": {
   "en": "Separation Rule",
   "zh": "分离规则",
   "level": "l3"
  },
  "CAP_579020ac": {
   "en": "Alignment Rule",
   "zh": "对齐规则",
   "level": "l3"
  },
  "CAP_81390cba": {
   "en": "Cohesion Rule",
   "zh": "聚合规则",
   "level": "l3"
  },
  "CAP_45fa7cdd": {
   "en": "Steering Combination",
   "zh": "转向合成",
   "level": "l3"
  },
  "CAP_65885e3d": {
   "en": "Motion Update",
   "zh": "运动更新",
   "level": "l3"
  },
  "CAP_580d2b0a": {
   "en": "Emergence Observation",
   "zh": "涌现观测",
   "level": "l3"
  },
  "CAP_e3143e8f": {
   "en": "Stigmergic Write Loop",
   "zh": "Stigmergic写入循环",
   "level": "l2"
  },
  "CAP_fa7f3551": {
   "en": "Stigmergic Read and Decision",
   "zh": "Stigmergic读取与决策",
   "level": "l2"
  },
  "CAP_eaac1ceb": {
   "en": "Local Pheromone Neighborhood Sensing",
   "zh": "局部信息素邻域感知",
   "level": "l3"
  },
  "CAP_245df115": {
   "en": "Gradient-driven Motion Vector Selection",
   "zh": "梯度驱动运动向量选择",
   "level": "l3"
  },
  "CAP_75866d48": {
   "en": "Pheromone Field Global Evaporation",
   "zh": "信息素场全局蒸发",
   "level": "l3"
  },
  "CAP_16e310da": {
   "en": "Pheromone Field Spatial Diffusion",
   "zh": "信息素场空间扩散",
   "level": "l3"
  },
  "CAP_bb54c0f8": {
   "en": "ORCA Agent and Obstacle Injection",
   "zh": "ORCA 智能体与障碍注入",
   "level": "l3"
  },
  "CAP_087c6355": {
   "en": "ORCA Reciprocal Half-Plane Computation",
   "zh": "ORCA 互惠半平面计算",
   "level": "l3"
  },
  "CAP_f01a1a40": {
   "en": "Velocity Application and Global Step",
   "zh": "速度发布与全局步进",
   "level": "l3"
  },
  "CAP_200e9a46": {
   "en": "Decentralized Policy Execution",
   "zh": "分布式策略执行",
   "level": "l3"
  },
  "CAP_c6e8c4b5": {
   "en": "Collective Decision Technique Configuration",
   "zh": "集体决策技术配置",
   "level": "l3"
  },
  "CAP_795b25f7": {
   "en": "MARL Collective Migration",
   "zh": "多智能体强化学习集体迁移",
   "level": "l2"
  },
  "CAP_96b08810": {
   "en": "Social Cue Synchronization",
   "zh": "社交线索同步",
   "level": "l3"
  },
  "CAP_5f957668": {
   "en": "Audio Feature and Style Prompt Encoding",
   "zh": "音频特征与风格提示编码",
   "level": "l3"
  },
  "CAP_21ff65ec": {
   "en": "VQ-VAE Body Decoder and Global Motion Prediction",
   "zh": "VQ-VAE 身体解码器与全局运动预测",
   "level": "l3"
  },
  "CAP_cdd5a884": {
   "en": "SMPL-X Motion Output and Visualization",
   "zh": "SMPL-X 运动输出与可视化",
   "level": "l3"
  },
  "CAP_2bca2387": {
   "en": "Style-Conditioned Gesture Diffusion",
   "zh": "风格条件手势扩散生成",
   "level": "l3"
  },
  "CAP_61651a86": {
   "en": "BVH/SMPL Gesture Output and Rendering",
   "zh": "BVH/SMPL 手势输出与渲染",
   "level": "l3"
  },
  "CAP_fca2135a": {
   "en": "Emotional Speech Synthesis",
   "zh": "情感语音合成",
   "level": "l2"
  },
  "CAP_47c794ea": {
   "en": "Reference Prosody Transfer Synthesis",
   "zh": "参考韵律迁移语音合成",
   "level": "l3"
  },
  "CAP_9496de10": {
   "en": "Text Frontend Phonemization",
   "zh": "文本前端音素化",
   "level": "l3"
  },
  "CAP_904d745c": {
   "en": "Mel Spectrogram Vocoder Synthesis",
   "zh": "梅尔谱声码器合成",
   "level": "l3"
  },
  "CAP_bab93391": {
   "en": "Emotion Label Conditioned Synthesis",
   "zh": "情感标签条件语音合成",
   "level": "l3"
  },
  "CAP_1c69e82f": {
   "en": "Diffusion Based Expressive Synthesis",
   "zh": "扩散表现力语音合成",
   "level": "l3"
  },
  "CAP_7966b399": {
   "en": "Prompt Controlled Emotional Synthesis",
   "zh": "自然语言prompt控制情感语音合成",
   "level": "l3"
  },
  "CAP_727d7b7f": {
   "en": "Rule-Based Emotion-to-Adaptation Mapping",
   "zh": "规则驱动的情感-自适应映射",
   "level": "l2"
  },
  "CAP_48f652fb": {
   "en": "Adaptation Strategy Threshold Selection",
   "zh": "自适应策略阈值门控选择",
   "level": "l3"
  },
  "CAP_59bd0725": {
   "en": "Personality-Modulated Parameter Scaling",
   "zh": "人格调制参数缩放",
   "level": "l3"
  },
  "CAP_473161a8": {
   "en": "Adaptation Parameter Vector Dispatch",
   "zh": "自适应参数向量分发",
   "level": "l3"
  },
  "CAP_45ff19ae": {
   "en": "RL-Learned Emotion-to-Adaptation Policy",
   "zh": "RL学习的情感-自适应策略",
   "level": "l2"
  },
  "CAP_968fb06e": {
   "en": "Adaptation Action Policy Inference",
   "zh": "自适应动作策略推理",
   "level": "l3"
  },
  "CAP_523b5585": {
   "en": "Adaptation Action Safety Shield",
   "zh": "自适应动作安全屏蔽",
   "level": "l3"
  },
  "CAP_fc8c1e6a": {
   "en": "Adaptation Policy Gradient Update",
   "zh": "自适应策略梯度更新",
   "level": "l3"
  },
  "CAP_092d68de": {
   "en": "LLM-Reasoned Emotion-to-Adaptation Mapping",
   "zh": "LLM推理情感自适应映射",
   "level": "l2"
  },
  "CAP_c9d847cd": {
   "en": "Adaptation-Oriented Prompt Construction",
   "zh": "自适应导向提示构造",
   "level": "l3"
  },
  "CAP_4395c49a": {
   "en": "LLM Adaptation Output Schema Validation",
   "zh": "LLM自适应输出 schema 校验",
   "level": "l3"
  },
  "CAP_23273dac": {
   "en": "Double-Layer Affective Decay Dynamics",
   "zh": "双层情感衰减动力学",
   "level": "l3"
  },
  "CAP_2e01290c": {
   "en": "Dialogue Turn Expression Scheduling",
   "zh": "对话轮次表达调度",
   "level": "l2"
  },
  "CAP_16552413": {
   "en": "Voice Activity Projection Turn-taking Inference",
   "zh": "语音活动投影话轮推理",
   "level": "l3"
  },
  "CAP_2bf52103": {
   "en": "Turn-Window Expression Scheduling",
   "zh": "话轮窗口表达调度",
   "level": "l3"
  },
  "CAP_7cd7da75": {
   "en": "Window-Scoped Empathetic Cue Selection",
   "zh": "窗口内共情线索选择",
   "level": "l3"
  },
  "CAP_c231ae6d": {
   "en": "Timing-Augmented Emotion Policy",
   "zh": "时机增强情感策略",
   "level": "l3"
  },
  "CAP_3a59d0a3": {
   "en": "Emotion Perception and Strategy Planning",
   "zh": "情绪感知与策略规划",
   "level": "l2"
  },
  "CAP_3f19ffd2": {
   "en": "Strategy-Conditioned Generation and Evaluation",
   "zh": "策略条件生成与评估",
   "level": "l2"
  },
  "CAP_9cd7cfa7": {
   "en": "Seeker Emotion State Tracking",
   "zh": "求助者情绪状态跟踪",
   "level": "l3"
  },
  "CAP_f514234c": {
   "en": "Support Strategy Planning",
   "zh": "逐轮支持策略规划",
   "level": "l3"
  },
  "CAP_878f4325": {
   "en": "Strategy-Conditioned Response Generation",
   "zh": "策略条件共情回复生成",
   "level": "l3"
  },
  "CAP_37573ffc": {
   "en": "Emotional Support Effectiveness Evaluation",
   "zh": "情感支持有效性评估",
   "level": "l3"
  },
  "CAP_d1eeb637": {
   "en": "Knowledge Retrieval and Graph Construction",
   "zh": "知识检索与图构建",
   "level": "l2"
  },
  "CAP_daff9601": {
   "en": "Graph Encoding and Dependency Decoding",
   "zh": "图编码与依赖解码",
   "level": "l2"
  },
  "CAP_7c9803d2": {
   "en": "Commonsense Knowledge Retrieval",
   "zh": "常识知识检索",
   "level": "l3"
  },
  "CAP_cd535688": {
   "en": "Emotional Context Graph Construction",
   "zh": "情感上下文图构建",
   "level": "l3"
  },
  "CAP_1893a9fa": {
   "en": "Emotional Context Encoding",
   "zh": "情感上下文编码",
   "level": "l3"
  },
  "CAP_0bb5b007": {
   "en": "Emotion-Dependency Decoding",
   "zh": "情感依赖共情生成",
   "level": "l3"
  },
  "CAP_19931c51": {
   "en": "Prompt Construction and Knowledge Enhancement",
   "zh": "提示构建与知识增强",
   "level": "l2"
  },
  "CAP_f56fd0d7": {
   "en": "End-to-End Generation and Evaluation",
   "zh": "端到端生成与评估",
   "level": "l2"
  },
  "CAP_e71fd627": {
   "en": "Empathetic Prompt Assembly",
   "zh": "共情对话提示组装",
   "level": "l3"
  },
  "CAP_98e6baf3": {
   "en": "Semantic ICL Example Selection",
   "zh": "语义相似上下文示例选择",
   "level": "l3"
  },
  "CAP_5932f071": {
   "en": "Two-Stage Emotion Inference",
   "zh": "两阶段情绪情境推测",
   "level": "l3"
  },
  "CAP_de670d3b": {
   "en": "COMET Commonsense Prompt Enhancement",
   "zh": "COMET 常识提示增强",
   "level": "l3"
  },
  "CAP_f05a2ccb": {
   "en": "LLM End-to-End Empathetic Generation",
   "zh": "LLM 端到端共情回复生成",
   "level": "l3"
  },
  "CAP_0b9280b3": {
   "en": "Empathetic Response Evaluation",
   "zh": "共情回复多维评估",
   "level": "l3"
  },
  "CAP_de6b1d68": {
   "en": "Command-Driven Endoscope Holding",
   "zh": "命令驱动持镜",
   "level": "l2"
  },
  "CAP_62435127": {
   "en": "Image-Guided Autonomous Endoscope Holding",
   "zh": "图像引导自主持镜",
   "level": "l2"
  },
  "CAP_b0c08a7d": {
   "en": "Teleoperated Endoscope Holding",
   "zh": "遥操作持镜",
   "level": "l2"
  },
  "CAP_2080a3ba": {
   "en": "Endoscope Voice Command Parsing",
   "zh": "内窥镜方向声控指令解析",
   "level": "l3"
  },
  "CAP_588296a1": {
   "en": "Head Pose Intent Mapping",
   "zh": "头部姿态离散意图映射",
   "level": "l3"
  },
  "CAP_a0d04b75": {
   "en": "Pedal Safety Control",
   "zh": "脚踏板激活去活安全控制",
   "level": "l3"
  },
  "CAP_c1cbda3b": {
   "en": "Discrete Intent to RCM Trajectory",
   "zh": "离散意图到RCM笛卡尔轨迹生成",
   "level": "l3"
  },
  "CAP_d51d2c89": {
   "en": "Endoscope Instrument Segmentation and Tracking",
   "zh": "内窥镜器械分割与跟踪",
   "level": "l3"
  },
  "CAP_e2455016": {
   "en": "Desired Surgical View Computation",
   "zh": "期望手术视野计算",
   "level": "l3"
  },
  "CAP_d2c9d0ff": {
   "en": "Visual Servoing with Force Fusion",
   "zh": "视觉伺服与力觉混合控制",
   "level": "l3"
  },
  "CAP_a9d1a2d3": {
   "en": "Image-Loop RCM Endoscope Execution",
   "zh": "图像闭环RCM持镜执行",
   "level": "l3"
  },
  "CAP_d683a003": {
   "en": "ECM Teleoperation Mapping",
   "zh": "ECM内窥镜臂遥操作映射",
   "level": "l3"
  },
  "CAP_b3f1ee85": {
   "en": "Surgeon Voice Command Parsing",
   "zh": "术者语音口令解析",
   "level": "l3"
  },
  "CAP_f670f917": {
   "en": "Stereoscopic Vision Display",
   "zh": "立体视觉显示",
   "level": "l3"
  },
  "CAP_0a4b5c6d": {
   "en": "Master Manipulator Joint Encoder Acquisition",
   "zh": "主手关节编码器采集",
   "level": "l3"
  },
  "CAP_42b7fe7b": {
   "en": "Foot Pedal Mode Switching",
   "zh": "脚踏板模式切换",
   "level": "l3"
  },
  "CAP_843e087c": {
   "en": "Signal Ratchet Asynchronous E2E",
   "zh": "Signal棘轮协议异步端到端加密",
   "level": "l2"
  },
  "CAP_945f1ec3": {
   "en": "Signal X3DH Asynchronous Key Agreement",
   "zh": "X3DH异步密钥协商",
   "level": "l3"
  },
  "CAP_56ef627b": {
   "en": "Double Ratchet Message Encryption",
   "zh": "双棘轮消息加密",
   "level": "l3"
  },
  "CAP_fca7715a": {
   "en": "Signal Session State Management",
   "zh": "Signal会话状态管理",
   "level": "l3"
  },
  "CAP_bf33ec31": {
   "en": "MLS TreeKEM Group E2E",
   "zh": "MLS TreeKEM群组端到端加密",
   "level": "l2"
  },
  "CAP_93c9fff1": {
   "en": "MLS Commit Welcome Membership Management",
   "zh": "MLS Commit/Welcome成员管理",
   "level": "l3"
  },
  "CAP_7370dad1": {
   "en": "MLS Group Message AEAD Encryption",
   "zh": "MLS群组消息AEAD加密",
   "level": "l3"
  },
  "CAP_eba2908e": {
   "en": "Client-side Envelope Encryption E2E",
   "zh": "客户端信封加密端到端链",
   "level": "l2"
  },
  "CAP_8b1f1234": {
   "en": "Client-side Envelope Encryption",
   "zh": "客户端信封加密",
   "level": "l3"
  },
  "CAP_840c1ddc": {
   "en": "AWS Encryption SDK Data Key Management",
   "zh": "AWS Encryption SDK数据密钥管理",
   "level": "l3"
  },
  "CAP_b01e35fd": {
   "en": "Noise Framework Custom E2E",
   "zh": "Noise握手框架定制端到端加密",
   "level": "l2"
  },
  "CAP_893ccf01": {
   "en": "Noise Handshake State Machine",
   "zh": "Noise握手状态机",
   "level": "l3"
  },
  "CAP_c4e61f7b": {
   "en": "Noise HKDF Chain Key Derivation",
   "zh": "Noise HKDF chaining key派生",
   "level": "l3"
  },
  "CAP_1d3dc8fb": {
   "en": "Proxy Re-Encryption Cloud Delegation",
   "zh": "代理重加密云端数据共享委托",
   "level": "l2"
  },
  "CAP_6db693ef": {
   "en": "Proxy Re-Encryption Key Generation",
   "zh": "代理重加密密钥生成",
   "level": "l3"
  },
  "CAP_5f22dff0": {
   "en": "Threshold PRE Re-Encryption",
   "zh": "门限代理重加密",
   "level": "l3"
  },
  "CAP_7b2aae23": {
   "en": "PRE Capsule Reconstruct Decrypt",
   "zh": "PRE Capsule重组与解密",
   "level": "l3"
  },
  "CAP_8caf4d81": {
   "en": "Social Reward Function",
   "zh": "社会奖励函数",
   "level": "l3"
  },
  "CAP_cc32a5cf": {
   "en": "End-to-End Socially Compliant Navigation Inference",
   "zh": "端到端社会合规导航推理",
   "level": "l3"
  },
  "CAP_d6b03ea0": {
   "en": "Privileged Information Navigation Pipeline",
   "zh": "特权信息导航管线",
   "level": "l2"
  },
  "CAP_dbf47aaa": {
   "en": "Diffusion Navigation Deployment Pipeline",
   "zh": "扩散导航部署管线",
   "level": "l3"
  },
  "CAP_9c4b7e1a": {
   "en": "Sim-to-Real Distillation",
   "zh": "sim-to-real蒸馏",
   "level": "l3"
  },
  "CAP_a693edfb": {
   "en": "Cross-Embodiment Navigation Policy Generalization",
   "zh": "跨本体导航策略泛化",
   "level": "l3"
  },
  "CAP_490666ff": {
   "en": "LaserVectorExtraction",
   "zh": "激光向量提取",
   "level": "l3"
  },
  "CAP_f1a674d9": {
   "en": "StateConstruction",
   "zh": "状态构建",
   "level": "l3"
  },
  "CAP_980d8c3b": {
   "en": "LiDAR Point Cloud Vectorization",
   "zh": "激光点云向量化",
   "level": "l3"
  },
  "CAP_c88fa799": {
   "en": "MultiModalStateEncoding",
   "zh": "多模态状态编码",
   "level": "l3"
  },
  "CAP_ba00de10": {
   "en": "LocalGoalSelection",
   "zh": "局部目标选择",
   "level": "l3"
  },
  "CAP_7a768938": {
   "en": "Energy-aware Multi-UAV Coverage Path Planning",
   "zh": "能量感知多机覆盖路径规划",
   "level": "l2"
  },
  "CAP_57c88fa6": {
   "en": "Multirotor Optimal Speed and Power Model Calibration",
   "zh": "多旋翼最优速度与功率模型标定",
   "level": "l3"
  },
  "CAP_cdad229b": {
   "en": "Back-and-forth Sweeping Path Generation with Fast Energy Estimation",
   "zh": "往复扫描路径生成与快速能耗估计",
   "level": "l3"
  },
  "CAP_402f53b4": {
   "en": "MS-TSP Formulation and GRASP-Tabu Solver for Multi-UAV Allocation",
   "zh": "多机分配的MS-TSP建模与GRASP-Tabu求解",
   "level": "l3"
  },
  "CAP_22f44707": {
   "en": "Battery Capacity Energy Constraint Pruning",
   "zh": "电池容量能耗约束剪枝",
   "level": "l3"
  },
  "CAP_4e00f404": {
   "en": "Coverage Path Output and Visualization",
   "zh": "覆盖路径输出与可视化",
   "level": "l3"
  },
  "CAP_2404bcab": {
   "en": "Energy-aware Frontier Exploration for UAVs",
   "zh": "能量感知前沿探索",
   "level": "l2"
  },
  "CAP_72c8b57f": {
   "en": "Multicopter Rotor-Speed Power Model Calibration",
   "zh": "多旋翼转速功率模型标定",
   "level": "l3"
  },
  "CAP_7e14aef8": {
   "en": "Energy-Information Gain Weighted Frontier Selection",
   "zh": "能耗-信息增益加权前沿选择",
   "level": "l3"
  },
  "CAP_cf8c52dd": {
   "en": "Two-level Planning for Energy-aware Exploration Execution",
   "zh": "能量感知探索双层规划执行",
   "level": "l3"
  },
  "CAP_24db23ce": {
   "en": "Energy Resource-Constrained Symbolic Temporal Planning",
   "zh": "能量资源约束符号时序规划",
   "level": "l2"
  },
  "CAP_9e93875f": {
   "en": "Battery SoC PDDL Numeric Fluent Domain Modeling",
   "zh": "电池电量PDDL数值流域建模",
   "level": "l3"
  },
  "CAP_1e55aca5": {
   "en": "Energy-Constrained PDDL Problem Instantiation",
   "zh": "能量约束PDDL问题实例化",
   "level": "l3"
  },
  "CAP_b69df88b": {
   "en": "Battery-Constrained Temporal Plan Solving and Validation",
   "zh": "电池约束时序规划求解与验证",
   "level": "l3"
  },
  "CAP_22e59178": {
   "en": "Energy-Constrained Plan Dispatch and Replanning",
   "zh": "能量约束计划分发执行与重规划",
   "level": "l3"
  },
  "CAP_d1ab1204": {
   "en": "Implicit Energy-Based Behavioral Cloning Training",
   "zh": "隐式能量模型行为克隆训练",
   "level": "l2"
  },
  "CAP_088dea84": {
   "en": "Langevin Dynamics Action Sampling",
   "zh": "Langevin动力学动作采样",
   "level": "l3"
  },
  "CAP_0e7ec309": {
   "en": "Derivative-Free Optimization Action Sampling",
   "zh": "无导数优化动作采样",
   "level": "l3"
  },
  "CAP_eda58b7c": {
   "en": "Soft Q-Learning Training",
   "zh": "Soft Q-Learning在线训练",
   "level": "l2"
  },
  "CAP_80be57f8": {
   "en": "Soft Bellman Q-function Update",
   "zh": "软Bellman Q函数更新",
   "level": "l3"
  },
  "CAP_fa1f1e65": {
   "en": "SVGD Sampling Network Training",
   "zh": "SVGD采样网络训练",
   "level": "l3"
  },
  "CAP_c93b4b2a": {
   "en": "Maximum Entropy Exploration",
   "zh": "最大熵探索",
   "level": "l3"
  },
  "CAP_1ac92d33": {
   "en": "Composable Energy-Based Policy via Q Summation",
   "zh": "可组合能量模型策略（Q求和组合）",
   "level": "l2"
  },
  "CAP_4a9cf535": {
   "en": "Energy/Q-Function Summation Composition",
   "zh": "能量/Q函数求和组合算子",
   "level": "l3"
  },
  "CAP_b0fd2f17": {
   "en": "Composed Policy KL Divergence Optimality Bound",
   "zh": "组合策略KL散度最优性界",
   "level": "l3"
  },
  "CAP_7ef090d9": {
   "en": "Multi-Task Soft Q Pretraining for Composition",
   "zh": "面向组合的多任务Soft Q预训练",
   "level": "l3"
  },
  "CAP_10cc2dc7": {
   "en": "ActionExecutionAndClosedLoop",
   "zh": "动作执行与闭环",
   "level": "l3"
  },
  "CAP_f9ccc525": {
   "en": "RealRobotManipulationExecution",
   "zh": "真实机器人操作执行",
   "level": "l3"
  },
  "CAP_d7e8f11b": {
   "en": "Dynamic Candidate Trajectory Planning",
   "zh": "动态可行候选轨迹规划",
   "level": "l3"
  },
  "CAP_12f1d733": {
   "en": "Offline Trajectory Energy Estimation",
   "zh": "离线轨迹能耗估计",
   "level": "l3"
  },
  "CAP_3e8b38f5": {
   "en": "Energy-Minimizing Frontier Selection",
   "zh": "能耗最小化前沿选择",
   "level": "l3"
  },
  "CAP_80a7493c": {
   "en": "Single-Mission Energy Budget Safe Return",
   "zh": "单次任务能量预算安全返回",
   "level": "l3"
  },
  "CAP_aa01b11f": {
   "en": "Exploration Execution Loop",
   "zh": "探索执行循环",
   "level": "l3"
  },
  "CAP_44b458a6": {
   "en": "Energy-Constrained Coverage with Recharge",
   "zh": "能量约束覆盖与回充循环",
   "level": "l2"
  },
  "CAP_190c1782": {
   "en": "ETM Supervised Boustrophedon Coverage",
   "zh": "ETM监督牛耕往返覆盖",
   "level": "l3"
  },
  "CAP_0f09b43c": {
   "en": "Remaining Energy Monitoring and Retreat Threshold",
   "zh": "剩余电量监控与回撤阈值判定",
   "level": "l3"
  },
  "CAP_d4dd3159": {
   "en": "Retreat-to-Charge Trajectory",
   "zh": "回撤充电站轨迹",
   "level": "l3"
  },
  "CAP_3687ded2": {
   "en": "Nearest-Unvisited Advance Resume Planning",
   "zh": "就近未覆盖航点续扫规划",
   "level": "l3"
  },
  "CAP_d6254317": {
   "en": "Coverage-Recharge Loop and Completeness",
   "zh": "覆盖-回充循环与完整性判定",
   "level": "l3"
  },
  "CAP_b794311a": {
   "en": "Energy-Budgeted Informative Path Planning",
   "zh": "能量预算信息路径规划",
   "level": "l2"
  },
  "CAP_9cdc5b0d": {
   "en": "Particulate Environment Belief Modeling",
   "zh": "环境信念建模",
   "level": "l3"
  },
  "CAP_5cd84a18": {
   "en": "Multimodal Sensor Energy-Information Modeling",
   "zh": "多模态传感器能耗与信息建模",
   "level": "l3"
  },
  "CAP_8c07a537": {
   "en": "Energy Resource Budget Constraint Feasibility",
   "zh": "能量资源预算约束可行性保证",
   "level": "l3"
  },
  "CAP_e9d8f2f1": {
   "en": "AIPPMS Heuristic Rollout Policy",
   "zh": "AIPPMS启发式Rollout策略",
   "level": "l3"
  },
  "CAP_841a62db": {
   "en": "Plan Execute Update Loop",
   "zh": "规划-执行-更新循环",
   "level": "l3"
  },
  "CAP_ad833b2f": {
   "en": "Persistent Ergodic Exploration with Energy Scheduling",
   "zh": "持久遍历探索与能量调度",
   "level": "l2"
  },
  "CAP_1e20418c": {
   "en": "Spatial Information Density Estimation",
   "zh": "空间信息密度分布估计",
   "level": "l3"
  },
  "CAP_d1169826": {
   "en": "Abstract Battery Model and SoC Prediction",
   "zh": "抽象电池模型与SoC预测",
   "level": "l3"
  },
  "CAP_b3e9887a": {
   "en": "Energy-Aware Ergodic Trajectory Planning",
   "zh": "能量感知遍历轨迹规划",
   "level": "l3"
  },
  "CAP_d57c0ed0": {
   "en": "Rmesch Recharge Scheduling",
   "zh": "Rmesch回充调度",
   "level": "l3"
  },
  "CAP_c01be828": {
   "en": "Persistent Exploration Loop and Coverage Quality",
   "zh": "持久探索循环与覆盖质量监控",
   "level": "l3"
  },
  "CAP_7fff7b74": {
   "en": "CBF Energy Invariance Constraint",
   "zh": "CBF能量不变性约束",
   "level": "l3"
  },
  "CAP_6cccd27e": {
   "en": "Collision Energy Budget Allocation",
   "zh": "碰撞能量预算分配",
   "level": "l3"
  },
  "CAP_fa4f9515": {
   "en": "Fail-Safe Power-Off Impact Energy Absorption Validation",
   "zh": "掉电抗冲能量吸收验证",
   "level": "l3"
  },
  "CAP_f10d96a7": {
   "en": "SEA Mechanical Stop Passive Limit",
   "zh": "SEA 机械止位被动力矩限幅",
   "level": "l3"
  },
  "CAP_0ac1370e": {
   "en": "Mechanical Torque Limiting Safety Clutch Design",
   "zh": "机械力矩限制安全离合设计",
   "level": "l2"
  },
  "CAP_b7656ed4": {
   "en": "Clutch Release Torque Threshold Design",
   "zh": "离合器脱开力矩阈值设计",
   "level": "l3"
  },
  "CAP_1e8c98e5": {
   "en": "Safety Clutch Type Selection",
   "zh": "安全离合器类型选型",
   "level": "l3"
  },
  "CAP_c9f0a81f": {
   "en": "Ball-Detent Mechanism Parameter Design",
   "zh": "球凹槽机构参数设计",
   "level": "l3"
  },
  "CAP_5d2bf71b": {
   "en": "Clutch Reset Mechanism Design",
   "zh": "离合器复位机构设计",
   "level": "l3"
  },
  "CAP_c94b2356": {
   "en": "Safety Joint Module Integration",
   "zh": "安全关节模组集成",
   "level": "l3"
  },
  "CAP_3495521a": {
   "en": "Overload Signal Interface Design",
   "zh": "过载信号接口设计",
   "level": "l3"
  },
  "CAP_c0e277f3": {
   "en": "Post-Release Gravity Safeguard Design",
   "zh": "脱开后重力安全保护设计",
   "level": "l3"
  },
  "CAP_a92ee1da": {
   "en": "Mechanical Gravity Balancing Energy Limiting",
   "zh": "机械重力补偿势能限制设计",
   "level": "l2"
  },
  "CAP_790e9c89": {
   "en": "Gravity Torque Analysis and Modeling",
   "zh": "重力矩特性分析与建模",
   "level": "l3"
  },
  "CAP_873f6aa7": {
   "en": "Balancing Strategy Selection",
   "zh": "平衡策略选择",
   "level": "l3"
  },
  "CAP_18055bf1": {
   "en": "ZFL Spring Gravity Balancing Mechanism Design",
   "zh": "ZFL 弹簧重力平衡机构设计",
   "level": "l3"
  },
  "CAP_0a3bb98d": {
   "en": "Counterweight/Gas Spring Balancing Design",
   "zh": "配重/气弹簧平衡设计",
   "level": "l3"
  },
  "CAP_19612e88": {
   "en": "Multi-DOF Balancing Coupling Design",
   "zh": "多自由度平衡耦合设计",
   "level": "l3"
  },
  "CAP_64e693d2": {
   "en": "Power-Off Hold Position Validation",
   "zh": "失电保位验证",
   "level": "l3"
  },
  "CAP_0a54fd73": {
   "en": "Potential Energy Safety Assessment",
   "zh": "势能安全评估",
   "level": "l3"
  },
  "CAP_1ab3df25": {
   "en": "Spanning Tree Coverage Path Planning Pipeline",
   "zh": "生成树覆盖路径规划流水线",
   "level": "l2"
  },
  "CAP_aff308fe": {
   "en": "Grid Discretization for STC",
   "zh": "STC 栅格离散化",
   "level": "l3"
  },
  "CAP_686a941c": {
   "en": "Coverage Completeness Verification",
   "zh": "覆盖完整性校验",
   "level": "l3"
  },
  "CAP_3baf7648": {
   "en": "Energy-Aware Coverage Path Planning Pipeline",
   "zh": "能耗模型驱动的覆盖路径规划流水线",
   "level": "l2"
  },
  "CAP_d7d25ea0": {
   "en": "Flyable Area Polygon Modeling",
   "zh": "可飞行区域多边形建模",
   "level": "l3"
  },
  "CAP_401c096a": {
   "en": "UAV Energy Model Calibration (Momentum Theory)",
   "zh": "UAV 能耗模型标定（动量理论）",
   "level": "l3"
  },
  "CAP_6709b71c": {
   "en": "Swath Generation and Segment Energy Computation",
   "zh": "swath 生成与逐段能耗计算",
   "level": "l3"
  },
  "CAP_cc883fe3": {
   "en": "Minimum Energy Coverage Ordering (TSP)",
   "zh": "最小能耗覆盖排序（TSP）",
   "level": "l3"
  },
  "CAP_75abec89": {
   "en": "Speed Profile Path Output",
   "zh": "速度剖面路径输出",
   "level": "l3"
  },
  "CAP_5b93d419": {
   "en": "Turn Cost Aware Coverage Path Planning Pipeline",
   "zh": "转弯代价感知覆盖路径规划流水线",
   "level": "l2"
  },
  "CAP_b65a47a0": {
   "en": "Turn-Minimizing Swath Generation",
   "zh": "转弯最小化 swath 生成",
   "level": "l3"
  },
  "CAP_3ac59aac": {
   "en": "Turn Cost Objective Computation",
   "zh": "转弯代价目标计算",
   "level": "l3"
  },
  "CAP_f5b00726": {
   "en": "Turn Cost Coverage Route Optimization",
   "zh": "转弯代价覆盖路由优化",
   "level": "l3"
  },
  "CAP_46628149": {
   "en": "Flat-Output Energy-Optimal Trajectory Optimization",
   "zh": "平坦输出空间能量最优轨迹优化",
   "level": "l2"
  },
  "CAP_ba2602f3": {
   "en": "Flat-Output Polynomial Parameterization",
   "zh": "平坦输出多项式参数化",
   "level": "l3"
  },
  "CAP_ccb6e0e8": {
   "en": "Snap Energy Cost Matrix Construction",
   "zh": "Snap 能量代价矩阵构造",
   "level": "l3"
  },
  "CAP_85671e06": {
   "en": "QP Energy-Optimal Trajectory Solve",
   "zh": "QP 能量最优轨迹求解",
   "level": "l3"
  },
  "CAP_42ba860a": {
   "en": "Nonlinear Time Allocation and Trajectory Output",
   "zh": "非线性时间分配与轨迹输出",
   "level": "l3"
  },
  "CAP_3a1139c1": {
   "en": "Full-Dynamics Energy-Optimal OCP",
   "zh": "全动力学能量最优 OCP",
   "level": "l2"
  },
  "CAP_1206b7fa": {
   "en": "Energy Cost Functional Assembly",
   "zh": "能量泛函装配",
   "level": "l3"
  },
  "CAP_9a508543": {
   "en": "Dynamics Constraint Encoding",
   "zh": "动力学约束编码",
   "level": "l3"
  },
  "CAP_a2923858": {
   "en": "NLP Energy-Optimal Solve",
   "zh": "NLP 能量最优求解",
   "level": "l3"
  },
  "CAP_3b06e91f": {
   "en": "Trajectory and Feedback Output",
   "zh": "轨迹与反馈输出",
   "level": "l3"
  },
  "CAP_87c64e37": {
   "en": "Energy-Efficient RL Motion Policy",
   "zh": "强化学习节能运动策略",
   "level": "l2"
  },
  "CAP_db73134c": {
   "en": "Energy Reward Shaping",
   "zh": "能量奖励塑形",
   "level": "l3"
  },
  "CAP_2e6c3430": {
   "en": "PPO Energy-Efficient Policy Training",
   "zh": "PPO 节能策略训练",
   "level": "l3"
  },
  "CAP_b64f5e59": {
   "en": "Input Sample Reception",
   "zh": "输入样本接收",
   "level": "l3"
  },
  "CAP_15d5dfd1": {
   "en": "Classifier Logit Extraction",
   "zh": "分类器Logit提取",
   "level": "l3"
  },
  "CAP_52cb2151": {
   "en": "OOD Score Calculation",
   "zh": "OOD分数计算",
   "level": "l3"
  },
  "CAP_648af5e5": {
   "en": "Energy Score Computation (Logsumexp)",
   "zh": "能量分数计算",
   "level": "l3"
  },
  "CAP_0e0b8cc2": {
   "en": "Energy Gradient Input Perturbation",
   "zh": "能量梯度输入扰动",
   "level": "l3"
  },
  "CAP_81577c6b": {
   "en": "OOD Decision and Handling",
   "zh": "OOD判定与处理",
   "level": "l2"
  },
  "CAP_221df982": {
   "en": "OOD Score Threshold Comparison",
   "zh": "OOD分数阈值比较",
   "level": "l3"
  },
  "CAP_ca6b438a": {
   "en": "OOD Detection Threshold Calibration",
   "zh": "OOD检测阈值校准",
   "level": "l3"
  },
  "CAP_c1c593fc": {
   "en": "OOD Input Rejection",
   "zh": "OOD输入拒绝",
   "level": "l3"
  },
  "CAP_6ddfa69e": {
   "en": "Normal ID Prediction",
   "zh": "正常分布内预测",
   "level": "l3"
  },
  "CAP_0596c0ac": {
   "en": "Outlier Exposure Data Preparation",
   "zh": "外点暴露数据准备",
   "level": "l3"
  },
  "CAP_b6c2dcd4": {
   "en": "Energy Bounded Fine-tuning",
   "zh": "能量有界微调",
   "level": "l3"
  },
  "CAP_60e12f8a": {
   "en": "Energy Margin Parameter Tuning",
   "zh": "能量间隔超参调优",
   "level": "l3"
  },
  "CAP_84daceca": {
   "en": "Analytical Reference Fidelity Benchmark",
   "zh": "解析参考保真度基准",
   "level": "l2"
  },
  "CAP_08270dc6": {
   "en": "Canonical Physics Probe Scene Design",
   "zh": "规范物理探针场景设计",
   "level": "l3"
  },
  "CAP_351cfa8a": {
   "en": "Cross-Engine Physics Parameter Alignment",
   "zh": "跨引擎物理参数对齐",
   "level": "l3"
  },
  "CAP_699f3b0f": {
   "en": "Simulation Trajectory Deviation Quantification",
   "zh": "仿真轨迹偏差量化",
   "level": "l3"
  },
  "CAP_f99d1152": {
   "en": "Per-Phenomenon Accuracy Ranking",
   "zh": "逐现象精度排名",
   "level": "l3"
  },
  "CAP_3743bfc8": {
   "en": "Cross-Engine Throughput Benchmark",
   "zh": "跨引擎吞吐基准",
   "level": "l2"
  },
  "CAP_6bd11a6f": {
   "en": "Scalable Scene Configuration",
   "zh": "可扩展场景配置",
   "level": "l3"
  },
  "CAP_b4a36c64": {
   "en": "CPU Multi-Threaded Simulation Sampling",
   "zh": "CPU 多线程仿真采样",
   "level": "l3"
  },
  "CAP_41ec1595": {
   "en": "Throughput Scalability Curve Measurement",
   "zh": "吞吐可扩展性曲线度量",
   "level": "l3"
  },
  "CAP_cd4ac195": {
   "en": "Solver-Architecture Feature Matrix Construction",
   "zh": "求解器架构特性矩阵构建",
   "level": "l2"
  },
  "CAP_80403a16": {
   "en": "Engine Solver and Contact Formula Cataloging",
   "zh": "引擎求解器与接触公式编目",
   "level": "l3"
  },
  "CAP_4bac658b": {
   "en": "Coordinate Representation and Integrator Classification",
   "zh": "坐标表示与积分器分类",
   "level": "l3"
  },
  "CAP_9569c8c1": {
   "en": "Parallel Model and GPU Backend Mapping",
   "zh": "并行模型与 GPU 后端映射",
   "level": "l3"
  },
  "CAP_bb83e62d": {
   "en": "Use-Case Adaptability Matrix Mapping",
   "zh": "用例适配性矩阵映射",
   "level": "l3"
  },
  "CAP_c23fce6b": {
   "en": "Probabilistic Ensemble Dynamics Model Training",
   "zh": "概率集成动力学模型训练",
   "level": "l3"
  },
  "CAP_1315cbff": {
   "en": "Ensemble Dynamics Disagreement Estimation",
   "zh": "集成动力学分歧估计",
   "level": "l3"
  },
  "CAP_06f9c75d": {
   "en": "MBPO Short Rollout Branching with Uncertainty Penalty",
   "zh": "MBPO短视rollout分支与不确定性惩罚",
   "level": "l2"
  },
  "CAP_05c0cdb3": {
   "en": "Branched Model Rollout Generation",
   "zh": "分支模型rollout生成",
   "level": "l3"
  },
  "CAP_43c7ed3d": {
   "en": "Ensemble Disagreement Rollout Termination",
   "zh": "集成分歧rollout终止门控",
   "level": "l3"
  },
  "CAP_67a08e4b": {
   "en": "Model-Augmented Data SAC Policy Training",
   "zh": "模型增广数据SAC策略训练",
   "level": "l3"
  },
  "CAP_10482cec": {
   "en": "Pessimistic Cost Penalty Construction",
   "zh": "悲观代价惩罚构造",
   "level": "l3"
  },
  "CAP_4cce6fb9": {
   "en": "Expected Future Disagreement Rollout",
   "zh": "预期未来分歧前瞻",
   "level": "l3"
  },
  "CAP_ab7b2f0e": {
   "en": "CEM Planning in Latent Space",
   "zh": "潜在空间CEM规划",
   "level": "l3"
  },
  "CAP_9e647d5c": {
   "en": "Feature and Logit Extraction",
   "zh": "特征和logit提取",
   "level": "l3"
  },
  "CAP_1228a127": {
   "en": "OOD Score Normalization and Direction Alignment",
   "zh": "OOD分数归一化与方向对齐",
   "level": "l3"
  },
  "CAP_7fa5e233": {
   "en": "Deep Ensemble Model Training",
   "zh": "深度集成模型训练",
   "level": "l3"
  },
  "CAP_be280225": {
   "en": "Ensemble Prediction Aggregation",
   "zh": "集成预测聚合",
   "level": "l3"
  },
  "CAP_1f137380": {
   "en": "Test-Time Stochastic Ensemble OOD Detection",
   "zh": "测试时随机集成OOD检测",
   "level": "l2"
  },
  "CAP_57e14136": {
   "en": "MC Dropout Uncertainty Estimation for OOD",
   "zh": "MC Dropout不确定性估计",
   "level": "l3"
  },
  "CAP_7140060e": {
   "en": "Deep Ensemble Predictive Uncertainty Pipeline",
   "zh": "深度集成预测不确定性流水线",
   "level": "l2"
  },
  "CAP_095fbd4d": {
   "en": "Uncertainty Calibration Evaluation",
   "zh": "不确定性校准评估",
   "level": "l3"
  },
  "CAP_562951a9": {
   "en": "Parameter-Efficient Ensemble Uncertainty Pipeline",
   "zh": "参数高效集成不确定性流水线",
   "level": "l2"
  },
  "CAP_65b0a170": {
   "en": "BatchEnsemble Layer Construction",
   "zh": "BatchEnsemble 层构建",
   "level": "l3"
  },
  "CAP_e18c7668": {
   "en": "Single-Forward Ensemble Inference",
   "zh": "单次前向集成推理",
   "level": "l3"
  },
  "CAP_d6f6fc33": {
   "en": "RL Environment-Contact Recovery Pipeline",
   "zh": "RL 驱动的环境接触恢复管线",
   "level": "l2"
  },
  "CAP_75f12cad": {
   "en": "Proprioceptive State Observation for Environment Recovery",
   "zh": "环境恢复本体感知观测",
   "level": "l3"
  },
  "CAP_96fc6666": {
   "en": "Multi-Stage Reward Group Activation",
   "zh": "多阶段奖励组激活",
   "level": "l3"
  },
  "CAP_025eb1ba": {
   "en": "Multi-Critic PPO Training",
   "zh": "多评论家 PPO 训练",
   "level": "l3"
  },
  "CAP_1ea0a5f4": {
   "en": "Force Curriculum Exploration",
   "zh": "辅助力课程探索",
   "level": "l3"
  },
  "CAP_e25118d0": {
   "en": "Motion Smoothness Regularization",
   "zh": "运动平滑正则化",
   "level": "l3"
  },
  "CAP_5b3b372d": {
   "en": "Contact Affordance Prediction",
   "zh": "接触可供性预测",
   "level": "l3"
  },
  "CAP_2b6405da": {
   "en": "Diverse Terrain Recovery Training",
   "zh": "多样地形恢复训练",
   "level": "l3"
  },
  "CAP_373da076": {
   "en": "Model-Based Contact-Aware Recovery Pipeline",
   "zh": "模型驱动的环境接触最优控制恢复管线",
   "level": "l2"
  },
  "CAP_e6c93c93": {
   "en": "Proprioceptive State Estimation and Wall Perception",
   "zh": "本体感知状态估计与墙壁感知",
   "level": "l3"
  },
  "CAP_c225c560": {
   "en": "Reduced-Order Model Construction for Environment Contact",
   "zh": "环境接触降阶模型构建",
   "level": "l3"
  },
  "CAP_150f1fad": {
   "en": "Contact-Aware MPC Formulation with Environment Constraints",
   "zh": "环境接触约束 MPC 构造",
   "level": "l3"
  },
  "CAP_f391031d": {
   "en": "Online Trajectory Optimization Solving",
   "zh": "在线轨迹优化求解",
   "level": "l3"
  },
  "CAP_53febca1": {
   "en": "Push Detection and Recovery Mode Activation",
   "zh": "推扰检测与恢复模式激活",
   "level": "l3"
  },
  "CAP_aa18b14f": {
   "en": "Wall Contact Planning via Inverse Kinematics",
   "zh": "逆运动学墙壁接触规划",
   "level": "l3"
  },
  "CAP_3cd4f144": {
   "en": "Whole-Body Control Tracking for Environment Contact Recovery",
   "zh": "环境接触恢复全身控制跟踪",
   "level": "l3"
  },
  "CAP_d3104ff6": {
   "en": "Support Polygon Adjustment via HLIP Stepping",
   "zh": "HLIP 跨步支撑多边形调整",
   "level": "l3"
  },
  "CAP_8f7e50df": {
   "en": "Smooth Transition to Nominal Locomotion",
   "zh": "平滑过渡到名义行走",
   "level": "l3"
  },
  "CAP_74617d7d": {
   "en": "Photogrammetric Reconstruction Pipeline",
   "zh": "摄影测量重建管线",
   "level": "l2"
  },
  "CAP_a12ab546": {
   "en": "Scene Understanding and Object Parsing",
   "zh": "场景理解与物体解析",
   "level": "l3"
  },
  "CAP_dd4c0f28": {
   "en": "CAD Model Retrieval and Material Painting",
   "zh": "CAD模型检索与材质绘制",
   "level": "l3"
  },
  "CAP_cf00b1c6": {
   "en": "USD Asset Export",
   "zh": "USD资产导出",
   "level": "l3"
  },
  "CAP_8b5c1b81": {
   "en": "Differentiable 3D Gaussian Splatting",
   "zh": "可微3D高斯泼溅",
   "level": "l3"
  },
  "CAP_d21473f4": {
   "en": "Reconstructed Scene Physics Sim Integration",
   "zh": "重建场景物理仿真器集成",
   "level": "l3"
  },
  "CAP_3e1fec0e": {
   "en": "Reconstructed Mesh Scene Loading",
   "zh": "重建网格仿真场景加载",
   "level": "l3"
  },
  "CAP_4112b3bf": {
   "en": "1D Layout Feature Extraction",
   "zh": "1D布局特征提取",
   "level": "l3"
  },
  "CAP_9f7db621": {
   "en": "Layout Type Decision",
   "zh": "布局类型判断",
   "level": "l3"
  },
  "CAP_6c5d7f0e": {
   "en": "Cuboid Layout Refinement",
   "zh": "Cuboid布局精细化",
   "level": "l3"
  },
  "CAP_4816233d": {
   "en": "General Layout Refinement",
   "zh": "通用布局精细化",
   "level": "l3"
  },
  "CAP_7599e28e": {
   "en": "3D Layout Visualization",
   "zh": "3D布局可视化",
   "level": "l3"
  },
  "CAP_c4fa3f18": {
   "en": "Panoramic Image Alignment",
   "zh": "全景图对齐",
   "level": "l3"
  },
  "CAP_797d90d8": {
   "en": "Generative Scene Layout Synthesis",
   "zh": "生成式场景布局合成",
   "level": "l2"
  },
  "CAP_18347516": {
   "en": "Learning-Based Scene Layout Synthesis",
   "zh": "学习驱动场景布局合成",
   "level": "l3"
  },
  "CAP_908a717c": {
   "en": "Diffusion-Based Scene Layout Generation",
   "zh": "扩散场景布局生成",
   "level": "l3"
  },
  "CAP_d2ae70e2": {
   "en": "CPU Multiprocess Environment Execution",
   "zh": "CPU 多进程环境执行",
   "level": "l2"
  },
  "CAP_16d3c651": {
   "en": "Environment Function Serialization",
   "zh": "环境函数序列化",
   "level": "l3"
  },
  "CAP_cd80d172": {
   "en": "Worker Process Pool Management",
   "zh": "工作进程池管理",
   "level": "l3"
  },
  "CAP_843f70cc": {
   "en": "Synchronous Step Dispatch and Barrier",
   "zh": "同步步进派发与屏障",
   "level": "l3"
  },
  "CAP_1dbd37df": {
   "en": "Auto-Reset on Done",
   "zh": "完成自动重置",
   "level": "l3"
  },
  "CAP_73c1c401": {
   "en": "GPU Physics Engine Parallel Execution",
   "zh": "GPU 物理引擎并行执行",
   "level": "l2"
  },
  "CAP_de2a33ad": {
   "en": "GPU Physics Simulation Setup",
   "zh": "GPU 物理仿真初始化",
   "level": "l3"
  },
  "CAP_be031756": {
   "en": "Batch Environment Instantiation",
   "zh": "批量环境实例化",
   "level": "l3"
  },
  "CAP_47e7ff1f": {
   "en": "Zero-Copy Tensor Observation",
   "zh": "零拷贝张量观测",
   "level": "l3"
  },
  "CAP_8487e20b": {
   "en": "Batch Physics Step",
   "zh": "批量物理步进",
   "level": "l3"
  },
  "CAP_7154bde7": {
   "en": "JAX Functional Vectorized Physics Execution",
   "zh": "JAX 函数式向量化物理执行",
   "level": "l2"
  },
  "CAP_2ad5570b": {
   "en": "JIT Whole-Graph Compilation",
   "zh": "JIT 整图编译",
   "level": "l3"
  },
  "CAP_1804bbfd": {
   "en": "Differentiable Physics Gradient",
   "zh": "可微物理梯度",
   "level": "l3"
  },
  "CAP_35175853": {
   "en": "Environment Variable Config Loading and Validation",
   "zh": "环境变量配置加载与校验",
   "level": "l2"
  },
  "CAP_247e37fe": {
   "en": "Dotenv File Loading and Env Injection",
   "zh": ".env 文件加载与环境注入",
   "level": "l3"
  },
  "CAP_c34df936": {
   "en": "Environment Variable Config Validation",
   "zh": "环境变量配置校验",
   "level": "l3"
  },
  "CAP_ee3b84ff": {
   "en": "Profile-Based Config Layering and Merge",
   "zh": "Profile 分层配置合并",
   "level": "l2"
  },
  "CAP_d2968927": {
   "en": "Profile Activation and Environment Switching",
   "zh": "Profile 激活与环境切换",
   "level": "l3"
  },
  "CAP_eb7b94ad": {
   "en": "PropertySource Priority Chain Merge",
   "zh": "PropertySource 优先级链合并",
   "level": "l3"
  },
  "CAP_3962df7c": {
   "en": "Type-Safe Config Binding",
   "zh": "配置类型安全绑定",
   "level": "l3"
  },
  "CAP_b7e3afc3": {
   "en": "Config Center Environment Isolation and Fetch",
   "zh": "配置中心环境隔离与拉取",
   "level": "l2"
  },
  "CAP_5eb81f19": {
   "en": "Client Environment Connection Configuration",
   "zh": "客户端环境连接配置",
   "level": "l3"
  },
  "CAP_9bca1094": {
   "en": "Config Fetch and Local Cache Failover",
   "zh": "配置拉取与本地缓存容灾",
   "level": "l3"
  },
  "CAP_00af8222": {
   "en": "K8s Manifest Environment Overlay Rendering",
   "zh": "K8s 清单环境 Overlay 渲染",
   "level": "l2"
  },
  "CAP_7f15cc15": {
   "en": "Kustomize Overlay Patch Rendering",
   "zh": "Kustomize Overlay 补丁渲染",
   "level": "l3"
  },
  "CAP_dffe069a": {
   "en": "Helm Values Multi-Environment Override Rendering",
   "zh": "Helm Values 多环境覆盖渲染",
   "level": "l3"
  },
  "CAP_71468bbf": {
   "en": "Environment-Specific ConfigMap Secret Generation",
   "zh": "环境专属 ConfigMap/Secret 生成",
   "level": "l3"
  },
  "CAP_888c5d3d": {
   "en": "ConfigValidation",
   "zh": "配置校验",
   "level": "l3"
  },
  "CAP_8235a50a": {
   "en": "Memory-Augmented Long-Horizon Spatio-Temporal VQA",
   "zh": "记忆增强长程时空视觉问答",
   "level": "l2"
  },
  "CAP_cbb1fdd2": {
   "en": "Video Segment Captioning for Memory Building",
   "zh": "记忆构建用视频片段字幕生成",
   "level": "l3"
  },
  "CAP_53190e63": {
   "en": "Spatio-Temporal Memory Vector Storage",
   "zh": "时空记忆向量存储",
   "level": "l3"
  },
  "CAP_b5f1827e": {
   "en": "LLM Agent Memory Retrieval Loop",
   "zh": "LLM 智能体记忆检索循环",
   "level": "l3"
  },
  "CAP_2ce095ec": {
   "en": "Spatial QA Navigation Goal Generation",
   "zh": "空间问答导航目标生成",
   "level": "l3"
  },
  "CAP_7b5e1a83": {
   "en": "Topological Episodic Memory Navigation",
   "zh": "拓扑情景记忆导航",
   "level": "l2"
  },
  "CAP_08f5742f": {
   "en": "Topological Memory Graph Maintenance",
   "zh": "拓扑记忆图维护",
   "level": "l3"
  },
  "CAP_5a9b3e72": {
   "en": "Neural Action Model Local Execution",
   "zh": "神经动作模型局部执行",
   "level": "l3"
  },
  "CAP_d402d90d": {
   "en": "Learning-Based Similarity Retrieval",
   "zh": "学习型相似度检索",
   "level": "l3"
  },
  "CAP_8fb695b6": {
   "en": "EPNP Direct Closed-Form Pipeline",
   "zh": "EPnP直接闭式位姿求解流水线",
   "level": "l2"
  },
  "CAP_d695c746": {
   "en": "Control Point Selection (EPnP)",
   "zh": "EPnP控制点选择",
   "level": "l3"
  },
  "CAP_75735f25": {
   "en": "EPNP Null Space Solver",
   "zh": "EPnP零空间求解器",
   "level": "l3"
  },
  "CAP_fe634e5d": {
   "en": "Procrustes Pose Recovery",
   "zh": "Procrustes位姿恢复",
   "level": "l3"
  },
  "CAP_6d93aac5": {
   "en": "Reprojection Error Refinement (LM)",
   "zh": "重投影误差精化（LM）",
   "level": "l3"
  },
  "CAP_044d59a5": {
   "en": "Robust EPnP LO-RANSAC Absolute Pose Pipeline",
   "zh": "EPnP鲁棒LO-RANSAC绝对位姿估计流水线",
   "level": "l2"
  },
  "CAP_e931c07c": {
   "en": "RANSAC Sampling and P3P Hypothesis",
   "zh": "RANSAC采样与P3P假设生成",
   "level": "l3"
  },
  "CAP_bfba5c2a": {
   "en": "EPnP Local Optimization (LO-RANSAC)",
   "zh": "EPnP局部优化（LO-RANSAC）",
   "level": "l3"
  },
  "CAP_a87002d1": {
   "en": "Reprojection Error Scoring and Inlier Classification",
   "zh": "重投影误差评分与内点分类",
   "level": "l3"
  },
  "CAP_2eabae8d": {
   "en": "Consensus Check and Iteration Control",
   "zh": "共识检查与迭代控制",
   "level": "l3"
  },
  "CAP_8e397c7e": {
   "en": "Final EPnP Solve on Inlier Set",
   "zh": "内点集最终EPnP求解",
   "level": "l3"
  },
  "CAP_1f79c89e": {
   "en": "Multi-Level Banded Threshold and Alarm Management",
   "zh": "多级带状阈值与告警管理",
   "level": "l2"
  },
  "CAP_e52b04bf": {
   "en": "Alarm Rationalization and Priority Routing",
   "zh": "告警合理化与优先级路由规则配置",
   "level": "l3"
  },
  "CAP_251429d3": {
   "en": "Multi-Level Threshold State Machine Mapping",
   "zh": "多级阈值比较与状态机映射",
   "level": "l3"
  },
  "CAP_44def001": {
   "en": "Severity Grading and ISA-18.2 Rationalization",
   "zh": "严重度分级与 ISA-18.2 合理化",
   "level": "l3"
  },
  "CAP_bee2ec13": {
   "en": "Sensor Fault Detection and Fallback",
   "zh": "传感器故障检测与切换",
   "level": "l3"
  },
  "CAP_4576bf86": {
   "en": "Alarm Lifecycle Management",
   "zh": "告警生命周期管理",
   "level": "l3"
  },
  "CAP_163250fc": {
   "en": "Priority Routing and Flood Suppression",
   "zh": "优先级路由与洪水抑制",
   "level": "l3"
  },
  "CAP_a6b65f94": {
   "en": "Alarm Flood Suppression",
   "zh": "告警洪水抑制",
   "level": "l3"
  },
  "CAP_dd0e8113": {
   "en": "Alertmanager Routing and Grouping",
   "zh": "Alertmanager 路由与分组",
   "level": "l3"
  },
  "CAP_5ff1f619": {
   "en": "Trust Alert Level Adaptation",
   "zh": "信任告警级别适配",
   "level": "l2"
  },
  "CAP_12cb02d0": {
   "en": "Trust Estimate Ingestion",
   "zh": "信任估计获取",
   "level": "l3"
  },
  "CAP_8e0d5f6f": {
   "en": "Trust Deviation Quantification",
   "zh": "信任偏差量化",
   "level": "l3"
  },
  "CAP_6ff7e26d": {
   "en": "Alert Threshold Rule Mapping",
   "zh": "告警阈值规则映射",
   "level": "l3"
  },
  "CAP_e12fe209": {
   "en": "Operating-Regime Adaptive Threshold",
   "zh": "运行工况自适应阈值",
   "level": "l2"
  },
  "CAP_ae30ed82": {
   "en": "Regime Identification and Threshold Function Calibration",
   "zh": "工况辨识与阈值函数标定",
   "level": "l3"
  },
  "CAP_4422e4de": {
   "en": "Regime-adaptive Threshold Real-time Computation",
   "zh": "工况自适应阈值实时计算",
   "level": "l3"
  },
  "CAP_fbe4e05f": {
   "en": "Regime-aware Threshold Comparison",
   "zh": "工况感知阈值比较",
   "level": "l3"
  },
  "CAP_484f403c": {
   "en": "Regime-adaptive Protective Action Triggering",
   "zh": "工况自适应保护动作触发",
   "level": "l3"
  },
  "CAP_34af120b": {
   "en": "Signal-Feature Error Classification",
   "zh": "信号特征驱动错误分类",
   "level": "l2"
  },
  "CAP_9f008c2b": {
   "en": "Multi-Source Physical Signal Acquisition",
   "zh": "多源物理信号采集",
   "level": "l3"
  },
  "CAP_feb5d7d4": {
   "en": "Force-Torque Feature Extraction",
   "zh": "力/力矩特征提取",
   "level": "l3"
  },
  "CAP_dc36371f": {
   "en": "Dual-Threshold Collision Classification",
   "zh": "双门限碰撞分类",
   "level": "l3"
  },
  "CAP_e052e6a0": {
   "en": "Realtime Trajectory Error Classification",
   "zh": "实时轨迹错误分类",
   "level": "l3"
  },
  "CAP_60871d87": {
   "en": "Taxonomy-and-Rule Error Classification",
   "zh": "分类体系与规则驱动错误分类",
   "level": "l2"
  },
  "CAP_6dc7aac9": {
   "en": "Structured Error Event Ingestion",
   "zh": "结构化错误事件接入",
   "level": "l3"
  },
  "CAP_95a9245a": {
   "en": "Error Taxonomy Rule Matching",
   "zh": "错误分类体系规则匹配",
   "level": "l3"
  },
  "CAP_1bc8fedc": {
   "en": "Temporal Pattern Error Classification",
   "zh": "时序模式错误分类",
   "level": "l3"
  },
  "CAP_b9fce016": {
   "en": "VLM/LLM Semantic Error Classification",
   "zh": "VLM/LLM 语义驱动错误分类",
   "level": "l2"
  },
  "CAP_b39e63a3": {
   "en": "VLM Observation Error Localization",
   "zh": "VLM 观察错误定位",
   "level": "l3"
  },
  "CAP_c1b70975": {
   "en": "VLM Failure Taxonomy Classification",
   "zh": "VLM 失败分类体系分类",
   "level": "l3"
  },
  "CAP_dfba81fd": {
   "en": "Predicate State Monitoring and Update",
   "zh": "谓词状态监控与更新",
   "level": "l3"
  },
  "CAP_7a3f0021": {
   "en": "Ontology Capability-State Consistency Check",
   "zh": "本体能力状态一致性检查",
   "level": "l3"
  },
  "CAP_d44c3856": {
   "en": "Expected Effect Deviation Detection",
   "zh": "预期效果偏差检测",
   "level": "l3"
  },
  "CAP_61f73a6f": {
   "en": "Statistical Temporal Action Consistency Detection",
   "zh": "统计时序动作一致性检测",
   "level": "l3"
  },
  "CAP_2b3e2cb1": {
   "en": "Anomaly Score Conformal Calibration",
   "zh": "异常分数共形校准",
   "level": "l3"
  },
  "CAP_da753237": {
   "en": "VLM/LLM Constraint-based Error Detection",
   "zh": "VLM/LLM约束式错误检测",
   "level": "l2"
  },
  "CAP_a1e5d4b3": {
   "en": "Self-Consistency Confidence",
   "zh": "自洽性置信度",
   "level": "l3"
  },
  "CAP_054937e8": {
   "en": "Spatio-temporal Constraint Formulation",
   "zh": "时空约束建模",
   "level": "l3"
  },
  "CAP_95d2bb27": {
   "en": "Error Tracking (Sentry-based)",
   "zh": "Sentry 式错误追踪",
   "level": "l2"
  },
  "CAP_076f3503": {
   "en": "Exception Capture & Breadcrumb Context",
   "zh": "异常捕获与面包屑上下文",
   "level": "l3"
  },
  "CAP_1cb5ce9d": {
   "en": "Envelope Transport & Relay Preprocessing",
   "zh": "Envelope 传输与 Relay 预处理",
   "level": "l3"
  },
  "CAP_484e4907": {
   "en": "Stack Normalization & Fingerprint Grouping",
   "zh": "堆栈归一化与指纹分组",
   "level": "l3"
  },
  "CAP_1dc8edf4": {
   "en": "Release Regression Detection",
   "zh": "发布回归检测",
   "level": "l3"
  },
  "CAP_0a7b6ccc": {
   "en": "Error Trend Analysis (Sentry)",
   "zh": "错误趋势分析",
   "level": "l3"
  },
  "CAP_297ceecc": {
   "en": "OTel Telemetry Collection",
   "zh": "OTel 统一遥测采集",
   "level": "l2"
  },
  "CAP_ba878457": {
   "en": "ERROR Log Grouping via Loki LogQL",
   "zh": "ERROR 日志 LogQL 分组查询",
   "level": "l3"
  },
  "CAP_66e9d69a": {
   "en": "SpanMetrics Trace-to-Metric Derivation",
   "zh": "SpanMetrics trace转metric派生",
   "level": "l3"
  },
  "CAP_6ea7be49": {
   "en": "StacktraceFrameNormalization",
   "zh": "栈帧归一化",
   "level": "l3"
  },
  "CAP_9f31b277": {
   "en": "Multimodal Trajectory Acquisition",
   "zh": "多模态执行轨迹采集",
   "level": "l3"
  },
  "CAP_c0ef6c9b": {
   "en": "Failure Explanation Text Generation",
   "zh": "失败解释文本生成",
   "level": "l3"
  },
  "CAP_31b4d394": {
   "en": "Causal Variable State Extraction",
   "zh": "因果变量状态提取",
   "level": "l3"
  },
  "CAP_bb5ce533": {
   "en": "Contrastive State Search",
   "zh": "对比性状态搜索",
   "level": "l3"
  },
  "CAP_5823933b": {
   "en": "Causal Graph Behavior Explanation",
   "zh": "因果图行为解释",
   "level": "l3"
  },
  "CAP_160325e6": {
   "en": "Component Failure Hypothesis Generation",
   "zh": "部件失败假设生成",
   "level": "l3"
  },
  "CAP_4708cd21": {
   "en": "Symbolic Failure Explanation Generation",
   "zh": "符号化失败解释生成",
   "level": "l3"
  },
  "CAP_ad700925": {
   "en": "Statistical Error Rate Trend Forecasting",
   "zh": "统计错误率趋势预测",
   "level": "l2"
  },
  "CAP_372c21bd": {
   "en": "Numeric Time Series Loading & Preprocessing",
   "zh": "数值时序加载与预处理",
   "level": "l3"
  },
  "CAP_37988081": {
   "en": "STL Seasonal-Trend-Residual Decomposition",
   "zh": "STL 季节-趋势-残差分解",
   "level": "l3"
  },
  "CAP_bbafe979": {
   "en": "Mann-Kendall Trend Test",
   "zh": "Mann-Kendall 趋势检验",
   "level": "l3"
  },
  "CAP_cb660c73": {
   "en": "ARIMA Forecasting with Prediction Intervals",
   "zh": "ARIMA预测与预测区间",
   "level": "l3"
  },
  "CAP_ff242ae2": {
   "en": "Prophet Forecasting with Uncertainty Intervals",
   "zh": "Prophet预测与不确定性区间",
   "level": "l3"
  },
  "CAP_9f8b7862": {
   "en": "Error Rate Prediction Interval Alerting",
   "zh": "错误率预测区间告警",
   "level": "l3"
  },
  "CAP_9c5eb914": {
   "en": "Time Series Windowing and Normalization",
   "zh": "时序滑窗与归一化",
   "level": "l3"
  },
  "CAP_0e555d46": {
   "en": "N-BEATS Degradation Trajectory Forecasting",
   "zh": "N-BEATS退化轨迹预测",
   "level": "l3"
  },
  "CAP_85e7f82d": {
   "en": "Bayesian Online Change-Point Trend Shift Prediction",
   "zh": "贝叶斯在线变点趋势转折预测",
   "level": "l2"
  },
  "CAP_56f02ba6": {
   "en": "Run-Length Posterior Scoring",
   "zh": "运行长度后验评分",
   "level": "l3"
  },
  "CAP_89e12f25": {
   "en": "Bayesian Run-Length Boundary Detection",
   "zh": "贝叶斯运行长度边界检测",
   "level": "l3"
  },
  "CAP_103570be": {
   "en": "Escalator Ride-on Navigation",
   "zh": "扶梯骑乘泊定导航",
   "level": "l2"
  },
  "CAP_19842d91": {
   "en": "Escalator Entrance Detection",
   "zh": "扶梯入口检测与乘梯请求",
   "level": "l3"
  },
  "CAP_df1b33f9": {
   "en": "Escalator Control Interface Coordination",
   "zh": "扶梯控制接口协同",
   "level": "l3"
  },
  "CAP_8f98e38c": {
   "en": "Comb Plate Visual Detection",
   "zh": "梳齿板视觉检测",
   "level": "l3"
  },
  "CAP_f714fd49": {
   "en": "Incline Surface Posture Stabilization",
   "zh": "倾斜运动面姿态稳定",
   "level": "l3"
  },
  "CAP_3fa7b7af": {
   "en": "Step Carrying Velocity Compensation",
   "zh": "梯级携带速度补偿",
   "level": "l3"
  },
  "CAP_1825b2f2": {
   "en": "Escalator Exit Detection & Disembark",
   "zh": "扶梯出口检测与安全离梯",
   "level": "l3"
  },
  "CAP_7255f14a": {
   "en": "Legged Escalator Walking Navigation",
   "zh": "运动扶梯腿式行走导航",
   "level": "l2"
  },
  "CAP_c15f65d8": {
   "en": "Non-inertial Ground State Estimation",
   "zh": "非惯性地面状态估计",
   "level": "l3"
  },
  "CAP_473632f7": {
   "en": "Moving Step Geometry Perception",
   "zh": "运动梯级几何感知与速度估计",
   "level": "l3"
  },
  "CAP_dd81600c": {
   "en": "Moving Foothold Planning",
   "zh": "移动落足点规划",
   "level": "l3"
  },
  "CAP_eb91d8ea": {
   "en": "Step Velocity Compensated Gait",
   "zh": "梯级速度补偿步态生成",
   "level": "l3"
  },
  "CAP_85d99bda": {
   "en": "NMPC Trajectory Optimization for Legged Locomotion",
   "zh": "腿足运动 NMPC 轨迹优化",
   "level": "l3"
  },
  "CAP_fd7b2ac7": {
   "en": "Contact Slip Detection & State Feedback",
   "zh": "接触滑移检测与状态闭环",
   "level": "l3"
  },
  "CAP_ca8298a9": {
   "en": "Comb Plate Transition Gait Adaptation",
   "zh": "梳齿板过渡步态适配",
   "level": "l3"
  },
  "CAP_491004f2": {
   "en": "Escalator Mouth Safety Avoidance",
   "zh": "扶梯口安全避让导航",
   "level": "l2"
  },
  "CAP_6630900d": {
   "en": "Reflective Marker Escalator Detection",
   "zh": "反光板扶梯口检测",
   "level": "l3"
  },
  "CAP_83eb196f": {
   "en": "Visual Escalator Detection & Orientation",
   "zh": "视觉扶梯口检测与朝向估计",
   "level": "l3"
  },
  "CAP_c7b7cb2d": {
   "en": "Escalator Mouth Safety Decision",
   "zh": "扶梯口安全裁决",
   "level": "l3"
  },
  "CAP_7c040b23": {
   "en": "Nav2 Speed Limit Zone",
   "zh": "Nav2限速区配置",
   "level": "l3"
  },
  "CAP_9614097f": {
   "en": "Escalator Zone Safety Monitoring",
   "zh": "扶梯区域持续安全监控",
   "level": "l3"
  },
  "CAP_426b594a": {
   "en": "Ethical Constraint Embedding",
   "zh": "伦理约束嵌入",
   "level": "l2"
  },
  "CAP_5a2a3123": {
   "en": "Ethical Norm Cost Quantization",
   "zh": "伦理准则代价量化编码",
   "level": "l3"
  },
  "CAP_43ef809e": {
   "en": "Ethical Multi-Constraint Conflict Arbitration",
   "zh": "伦理多约束冲突仲裁",
   "level": "l3"
  },
  "CAP_6a5eaf91": {
   "en": "Normative Rule Authoring",
   "zh": "伦理规范规则编写",
   "level": "l3"
  },
  "CAP_9f05f651": {
   "en": "Ethical Principle Inductive Learning",
   "zh": "伦理原则归纳学习",
   "level": "l3"
  },
  "CAP_6a5eaf12": {
   "en": "Deontic Modality Assignment",
   "zh": "道义模态分配",
   "level": "l3"
  },
  "CAP_58bc2cae": {
   "en": "Ethical Rule Encoding",
   "zh": "伦理规则结构化编码",
   "level": "l3"
  },
  "CAP_8d154a0b": {
   "en": "SWRL Rule Reasoning",
   "zh": "SWRL 规则推理",
   "level": "l3"
  },
  "CAP_62efd80a": {
   "en": "Ethical Duty Priority Arbitration",
   "zh": "伦理义务优先级仲裁",
   "level": "l3"
  },
  "CAP_6a5eaf15": {
   "en": "Norm Conflict Resolution",
   "zh": "规范冲突消解",
   "level": "l3"
  },
  "CAP_a0755a07": {
   "en": "Ethical Constraint API Contract Encoding",
   "zh": "伦理约束 API 契约编码",
   "level": "l3"
  },
  "CAP_243adb27": {
   "en": "LLM Conditional Code Generation",
   "zh": "LLM 条件代码生成",
   "level": "l3"
  },
  "CAP_fa702c0b": {
   "en": "LLM Structured Parameter Extraction",
   "zh": "LLM 结构化参数提取",
   "level": "l3"
  },
  "CAP_2a0f65ac": {
   "en": "IEEE 7000 Value-Driven EIA Process",
   "zh": "IEEE 7000价值驱动伦理影响评估过程",
   "level": "l2"
  },
  "CAP_3b88a283": {
   "en": "System Context Scoping & Stakeholder Mapping",
   "zh": "系统情境定界与利益相关方映射",
   "level": "l3"
  },
  "CAP_b04c77b9": {
   "en": "Ethical Concern Elicitation & Register Maintenance",
   "zh": "伦理关切征询与登记册维护",
   "level": "l3"
  },
  "CAP_b095dc26": {
   "en": "Concern-to-Value Articulation Mapping",
   "zh": "关切价值阐明映射",
   "level": "l3"
  },
  "CAP_b1c7da7a": {
   "en": "Value Prioritization & Ethical Trade-off Analysis",
   "zh": "价值优先级与伦理权衡分析",
   "level": "l3"
  },
  "CAP_5dc5ef22": {
   "en": "Ethical Impact Identification & Candidate Solution Generation",
   "zh": "伦理影响识别与候选方案生成",
   "level": "l3"
  },
  "CAP_2dd9c86f": {
   "en": "Ethical Impact Assessment Report & Monitoring Iteration",
   "zh": "伦理影响评估报告与监控迭代",
   "level": "l3"
  },
  "CAP_381b36d3": {
   "en": "Automated Decision System Scoping",
   "zh": "自动决策系统定界",
   "level": "l3"
  },
  "CAP_2c93bff4": {
   "en": "Risk Domain Questionnaire Assessment",
   "zh": "风险域问卷评估",
   "level": "l3"
  },
  "CAP_6edd5614": {
   "en": "Raw Impact Score Computation",
   "zh": "原始影响分计算",
   "level": "l3"
  },
  "CAP_8b050aa1": {
   "en": "Mitigation Questionnaire Assessment & Mitigation Scoring",
   "zh": "缓解域问卷评估与缓解分计算",
   "level": "l3"
  },
  "CAP_fa3f8220": {
   "en": "Impact Level Determination & Compliance Mapping",
   "zh": "影响等级判定与合规要求映射",
   "level": "l3"
  },
  "CAP_45d3954b": {
   "en": "Fundamental Rights Impact Assessment",
   "zh": "基本权利影响评估",
   "level": "l2"
  },
  "CAP_7fe16468": {
   "en": "FRIA Trigger & Scope Determination",
   "zh": "FRIA触发与范围判定",
   "level": "l3"
  },
  "CAP_8c7b1b50": {
   "en": "Affected Parties & Rights Harm Risk Identification",
   "zh": "受影响方与权利伤害风险识别",
   "level": "l3"
  },
  "CAP_720067f4": {
   "en": "Human Oversight & Risk Materialization Measures",
   "zh": "人类监督与风险实现措施",
   "level": "l3"
  },
  "CAP_a647775f": {
   "en": "DPIA Integration & Authority Notification",
   "zh": "DPIA整合与监管通知",
   "level": "l3"
  },
  "CAP_fe13f66f": {
   "en": "Scripted Goal-Conditioned Success Judgment",
   "zh": "仿真任务程序化成功判定",
   "level": "l3"
  },
  "CAP_a63b51d5": {
   "en": "RLBench Success Criteria Validation",
   "zh": "RLBench 成功标准验证",
   "level": "l3"
  },
  "CAP_d3c66236": {
   "en": "Termination and Success Criteria Design",
   "zh": "终止条件与成功判定设计",
   "level": "l3"
  },
  "CAP_9706d266": {
   "en": "Programmatic Success Determination",
   "zh": "程序化成功判定",
   "level": "l2"
  },
  "CAP_5e664ca5": {
   "en": "Task Instantiation",
   "zh": "任务实例化",
   "level": "l3"
  },
  "CAP_7c73b534": {
   "en": "Simulation Success Criteria Evaluation",
   "zh": "仿真成功标准评估",
   "level": "l3"
  },
  "CAP_3022a61e": {
   "en": "SPL Per-Episode Computation",
   "zh": "逐 episode SPL 计算",
   "level": "l3"
  },
  "CAP_7dc40578": {
   "en": "Geodesic Distance Computation",
   "zh": "测地最短路径计算",
   "level": "l3"
  },
  "CAP_7c61a1d1": {
   "en": "SPL Batch Aggregation",
   "zh": "SPL 批量聚合",
   "level": "l3"
  },
  "CAP_8d28660b": {
   "en": "SoftSPL Computation",
   "zh": "软 SPL 计算",
   "level": "l3"
  },
  "CAP_5eef476d": {
   "en": "Statistical Reporting Visualization",
   "zh": "统计报告可视化",
   "level": "l3"
  },
  "CAP_8fe3e9b4": {
   "en": "Data Preparation and Loading",
   "zh": "数据准备与加载",
   "level": "l2"
  },
  "CAP_0ea70d03": {
   "en": "Load Raw Score Matrix",
   "zh": "加载原始分数矩阵",
   "level": "l3"
  },
  "CAP_2f4b5a42": {
   "en": "Data Cleaning and Normalization",
   "zh": "数据清洗与归一化",
   "level": "l3"
  },
  "CAP_91c83a55": {
   "en": "Interval Estimation and Uncertainty Quantification",
   "zh": "区间估计与不确定性量化",
   "level": "l2"
  },
  "CAP_6ae05873": {
   "en": "Bootstrap Resampling",
   "zh": "Bootstrap 重采样",
   "level": "l3"
  },
  "CAP_4e76698f": {
   "en": "Compute Interval Estimates",
   "zh": "计算区间估计",
   "level": "l3"
  },
  "CAP_fcdefcda": {
   "en": "Performance Profile and Aggregate Metrics",
   "zh": "性能剖面与聚合指标计算",
   "level": "l2"
  },
  "CAP_611dcd31": {
   "en": "Generate Performance Profiles",
   "zh": "生成性能剖面",
   "level": "l3"
  },
  "CAP_1e9e4a8e": {
   "en": "Compute IQM and Optimality Gap",
   "zh": "计算 IQM 与最优性间隙",
   "level": "l3"
  },
  "CAP_38f14f5d": {
   "en": "Visualization and Report Generation",
   "zh": "可视化与报告生成",
   "level": "l2"
  },
  "CAP_d9070417": {
   "en": "Generate Summary Report",
   "zh": "生成汇总报告",
   "level": "l3"
  },
  "CAP_acc4d450": {
   "en": "Geometric Precision Metric Computation",
   "zh": "几何精度度量计算",
   "level": "l2"
  },
  "CAP_64059919": {
   "en": "BOP VSD MSSD MSPD Evaluation",
   "zh": "BOP VSD/MSSD/MSPD 位姿误差评估",
   "level": "l3"
  },
  "CAP_8588b635": {
   "en": "ADD ADD-S Distance Computation",
   "zh": "ADD/ADD-S 距离计算",
   "level": "l3"
  },
  "CAP_5f15fffe": {
   "en": "Average Recall Aggregation",
   "zh": "平均召回率聚合",
   "level": "l3"
  },
  "CAP_9aa6dc8e": {
   "en": "GraspNet AP Evaluation",
   "zh": "GraspNet 抓取 AP 评估",
   "level": "l3"
  },
  "CAP_9093950a": {
   "en": "ISO 9283 Statistical Summarization",
   "zh": "ISO 9283 统计汇总",
   "level": "l3"
  },
  "CAP_c159baf8": {
   "en": "Validity Analysis Reporting",
   "zh": "效度分析与报告",
   "level": "l3"
  },
  "CAP_6d5af36b": {
   "en": "Contact-Rich Task Reward Engineering",
   "zh": "接触密集任务奖励工程",
   "level": "l3"
  },
  "CAP_e40dfe93": {
   "en": "RLPD Off-Policy Training",
   "zh": "RLPD离策略训练",
   "level": "l3"
  },
  "CAP_fe86d0e8": {
   "en": "Symmetric Offline-Online Batch Mixing",
   "zh": "对称离线在线批量混合",
   "level": "l3"
  },
  "CAP_9331e52b": {
   "en": "LayerNorm Critic Ensemble with RED",
   "zh": "LayerNorm批评家集成与RED正则",
   "level": "l3"
  },
  "CAP_010aff7f": {
   "en": "Human Online Intervention",
   "zh": "人类在线干预",
   "level": "l3"
  },
  "CAP_e07574a7": {
   "en": "Real Robot RL Environment Setup",
   "zh": "真机RL环境搭建",
   "level": "l3"
  },
  "CAP_a85adb2f": {
   "en": "Multi-Dimensional Self-Critique",
   "zh": "多维度自我批评",
   "level": "l3"
  },
  "CAP_f2378bc2": {
   "en": "In-Context Plan Improvement",
   "zh": "在上下文计划改进",
   "level": "l3"
  },
  "CAP_1e877a24": {
   "en": "Doubly Robust Estimator Computation",
   "zh": "双重稳健估计器计算",
   "level": "l3"
  },
  "CAP_5a5c10b4": {
   "en": "Fitness Evaluation and Policy Update",
   "zh": "适应度评估与策略更新",
   "level": "l2"
  },
  "CAP_4f8b6664": {
   "en": "Differential Evolution Population Update",
   "zh": "差分进化种群更新",
   "level": "l3"
  },
  "CAP_17017d23": {
   "en": "Bayesian Optimization EI Search",
   "zh": "贝叶斯优化EI搜索",
   "level": "l3"
  },
  "CAP_24b590b2": {
   "en": "Simulation Closed-Loop and TD3 Training",
   "zh": "仿真闭环与TD3训练",
   "level": "l3"
  },
  "CAP_ce894f22": {
   "en": "Bayesian and Multi-Objective Optimization",
   "zh": "贝叶斯与多目标优化",
   "level": "l3"
  },
  "CAP_b2f9c629": {
   "en": "Event Based Odometry (EVO Pipeline)",
   "zh": "事件里程计（EVO 流水线）",
   "level": "l2"
  },
  "CAP_63484b45": {
   "en": "Event Edge Image Aggregation",
   "zh": "事件边缘图聚合",
   "level": "l3"
  },
  "CAP_c0d09055": {
   "en": "Image-to-Model Edge Alignment Tracking",
   "zh": "图像-模型边缘对齐跟踪",
   "level": "l3"
  },
  "CAP_47febdc8": {
   "en": "EMVS Semi-Dense Depth Mapping",
   "zh": "EMVS 半稠密深度建图",
   "level": "l3"
  },
  "CAP_6357bac4": {
   "en": "Event Based Odometry (ESVO Pipeline)",
   "zh": "事件里程计（ESVO 流水线）",
   "level": "l2"
  },
  "CAP_a4e7e40c": {
   "en": "Stereo Time Surface Computation",
   "zh": "立体时间面计算",
   "level": "l3"
  },
  "CAP_d3347330": {
   "en": "Stereo Event Block Matching Depth Estimation",
   "zh": "立体事件块匹配深度估计",
   "level": "l3"
  },
  "CAP_28f45104": {
   "en": "Event Depth Student-t Probabilistic Fusion",
   "zh": "事件深度 Student-t 概率融合",
   "level": "l3"
  },
  "CAP_68131dbe": {
   "en": "Time-Surface 3D-2D Registration Tracking",
   "zh": "时间面 3D-2D 配准跟踪",
   "level": "l3"
  },
  "CAP_9973b652": {
   "en": "Stereo Event-VO SGM Initialization",
   "zh": "立体事件里程计 SGM 初始化",
   "level": "l3"
  },
  "CAP_775cd390": {
   "en": "VO Trajectory Evaluation",
   "zh": "VO 轨迹评测",
   "level": "l3"
  },
  "CAP_1eb8d293": {
   "en": "VO Relative Pose Ingestion",
   "zh": "VO 相对位姿接入",
   "level": "l3"
  },
  "CAP_f0d52d5e": {
   "en": "Event-to-Image Reconstruction & Framing",
   "zh": "事件-图像重建与帧化",
   "level": "l2"
  },
  "CAP_ddfeb11f": {
   "en": "Event Camera Geometric Calibration",
   "zh": "事件相机几何时空标定",
   "level": "l2"
  },
  "CAP_d81fab9c": {
   "en": "Event Stream Format Normalization",
   "zh": "事件流格式归一",
   "level": "l3"
  },
  "CAP_59121e38": {
   "en": "Event-to-Image Neural Reconstruction",
   "zh": "事件-图像神经重建",
   "level": "l3"
  },
  "CAP_9853d1bb": {
   "en": "Reconstructed Frame Rosbag Packaging",
   "zh": "重建帧转rosbag打包",
   "level": "l3"
  },
  "CAP_5b95697c": {
   "en": "AprilGrid Camera Intrinsic Calibration",
   "zh": "AprilGrid相机内参标定",
   "level": "l3"
  },
  "CAP_7db212d5": {
   "en": "Offline Target-Based Camera-IMU Calibration",
   "zh": "离线靶标相机 IMU 标定",
   "level": "l3"
  },
  "CAP_2bca517e": {
   "en": "Offline Calibration Result Validation",
   "zh": "离线标定结果验证",
   "level": "l3"
  },
  "CAP_01989106": {
   "en": "Direct Event-Feature Geometric Calibration",
   "zh": "直接事件特征几何标定",
   "level": "l2"
  },
  "CAP_3abc9135": {
   "en": "DVS Back Focus Adjustment",
   "zh": "DVS后焦调整",
   "level": "l3"
  },
  "CAP_acdeb811": {
   "en": "Blinking LED Event Feature Extraction",
   "zh": "闪烁LED事件特征提取",
   "level": "l3"
  },
  "CAP_475af4e3": {
   "en": "Blinking LED Grid Intrinsic Calibration",
   "zh": "闪烁LED网格内参标定",
   "level": "l3"
  },
  "CAP_be14d5e0": {
   "en": "Blinking LED Stereo Extrinsic Calibration",
   "zh": "闪烁LED立体外参标定",
   "level": "l3"
  },
  "CAP_a6cb6f46": {
   "en": "DVS Stereo Time Sync & Rectification Validation",
   "zh": "DVS立体时间同步与矫正验证",
   "level": "l3"
  },
  "CAP_b83de2f9": {
   "en": "Asynchronous Event-based Egomotion Estimation",
   "zh": "异步事件驱动自运动估计",
   "level": "l2"
  },
  "CAP_fa270f54": {
   "en": "Event Stream Denoising & Accumulation",
   "zh": "事件流去噪与累积",
   "level": "l3"
  },
  "CAP_b422bd06": {
   "en": "Image-to-Model Edge Alignment",
   "zh": "图像-模型边缘对齐位姿估计",
   "level": "l3"
  },
  "CAP_af85ff23": {
   "en": "Keyframe-triggered Parallel Mapping",
   "zh": "关键帧触发并行建图",
   "level": "l3"
  },
  "CAP_b1761566": {
   "en": "Event-based Multi-View Stereo Mapping",
   "zh": "事件多视立体建图",
   "level": "l3"
  },
  "CAP_ca4ecc22": {
   "en": "Pose and Map to Navigation Stack Interface",
   "zh": "位姿地图导航接口输出",
   "level": "l3"
  },
  "CAP_d3f6d6fa": {
   "en": "Tri-modal Sensor Synchronization",
   "zh": "三模态传感器时间同步",
   "level": "l3"
  },
  "CAP_4a60d6be": {
   "en": "Motion-compensated Event Frame Synthesis",
   "zh": "运动补偿事件虚拟帧合成",
   "level": "l3"
  },
  "CAP_65b98d19": {
   "en": "Dual-channel Feature Tracking",
   "zh": "双通道特征检测与跟踪",
   "level": "l3"
  },
  "CAP_2f2a38b4": {
   "en": "Sliding-window Tri-modal BA",
   "zh": "滑动窗三模态紧耦合BA",
   "level": "l3"
  },
  "CAP_19c720e7": {
   "en": "VIO Pose to Flight Control Interface",
   "zh": "VIO位姿飞控接口输出",
   "level": "l3"
  },
  "CAP_b57640ae": {
   "en": "ResNet Steering Angle Regression",
   "zh": "ResNet转向角回归网络",
   "level": "l3"
  },
  "CAP_4c852b09": {
   "en": "End-to-end Control Command Mapping",
   "zh": "端到端控制指令映射执行",
   "level": "l3"
  },
  "CAP_ae5ff435": {
   "en": "E2VID Event-to-Image Reconstruction",
   "zh": "E2VID事件图像重建",
   "level": "l3"
  },
  "CAP_289c0d44": {
   "en": "Reconstructed Frame Stream Synchronization",
   "zh": "重建帧时间戳同步流化",
   "level": "l3"
  },
  "CAP_0e5a4ca6": {
   "en": "Standard Frame-based VIO/SLAM on Reconstructed Frames",
   "zh": "重建帧标准视觉SLAM",
   "level": "l3"
  },
  "CAP_b3d8e1f2": {
   "en": "Joint Causal-Temporal Relation Extraction from Narrative Text",
   "zh": "叙事文本因果-时序关系联合抽取",
   "level": "l2"
  },
  "CAP_e5c1b2a4": {
   "en": "CLINK Causal Relation Recognition",
   "zh": "CLINK 因果关系识别",
   "level": "l3"
  },
  "CAP_f7a9c1d8": {
   "en": "Joint Causal-Temporal ILP Inference",
   "zh": "因果-时序联合 ILP 推理",
   "level": "l3"
  },
  "CAP_d8b3e5a2": {
   "en": "LLM Counterfactual Event Causal Query Reasoning",
   "zh": "LLM 反事实事件因果提问推理",
   "level": "l3"
  },
  "CAP_a1b3c7e9": {
   "en": "Event-Log Causal-Temporal Reasoning",
   "zh": "事件日志因果-时序推理",
   "level": "l2"
  },
  "CAP_e9d2f4a1": {
   "en": "Process Mining Causal Footprint Discovery",
   "zh": "过程挖掘因果足迹发现",
   "level": "l3"
  },
  "CAP_b8c5a3d2": {
   "en": "Event Log XES Formatting",
   "zh": "事件日志 XES 格式化",
   "level": "l3"
  },
  "CAP_30a2bc50": {
   "en": "Narrative Text Timeline Construction",
   "zh": "叙事文本时间线构建",
   "level": "l2"
  },
  "CAP_d4a9cdde": {
   "en": "Neural TLINK Classification Pipeline",
   "zh": "神经 TLINK 分类流水线",
   "level": "l2"
  },
  "CAP_c0a030a9": {
   "en": "Neural TLINK Classification with ILP Global Inference",
   "zh": "神经 TLINK 分类与 ILP 全局推理",
   "level": "l3"
  },
  "CAP_88b65d0f": {
   "en": "TLINK Relation Classification",
   "zh": "TLINK 时序关系分类",
   "level": "l3"
  },
  "CAP_a977e789": {
   "en": "TLINK Candidate Pair Construction",
   "zh": "TLINK 候选对构造",
   "level": "l3"
  },
  "CAP_4deaf301": {
   "en": "TimeML XML Serialization",
   "zh": "TimeML XML 序列化",
   "level": "l3"
  },
  "CAP_cce12e30": {
   "en": "Timeline DAG Graph Build",
   "zh": "时间线 DAG 图构建",
   "level": "l3"
  },
  "CAP_56553e39": {
   "en": "LLM Timeline Generation",
   "zh": "LLM 时间线生成",
   "level": "l3"
  },
  "CAP_ea38c402": {
   "en": "LLM Temporal Relation Classification",
   "zh": "LLM 时序关系分类",
   "level": "l3"
  },
  "CAP_7a793283": {
   "en": "Local MPC Problem Formulation",
   "zh": "局部MPC问题建模",
   "level": "l3"
  },
  "CAP_b858eaa4": {
   "en": "Event Sourced State Advancement",
   "zh": "事件溯源状态推进",
   "level": "l2"
  },
  "CAP_c7e2bc75": {
   "en": "Workflow Error Handling",
   "zh": "工作流错误处理",
   "level": "l2"
  },
  "CAP_7f40410f": {
   "en": "Activity Idempotency Design",
   "zh": "活动幂等性设计",
   "level": "l3"
  },
  "CAP_12d28441": {
   "en": "External Event Sensing",
   "zh": "外部事件探测与接入",
   "level": "l2"
  },
  "CAP_027059f8": {
   "en": "Trigger Condition Gating",
   "zh": "触发条件求值",
   "level": "l2"
  },
  "CAP_4fe50994": {
   "en": "Pipeline Trigger Execution",
   "zh": "流水线触发与动态分支",
   "level": "l2"
  },
  "CAP_12d0da4a": {
   "en": "Execution Callback Propagation",
   "zh": "部署触发与回调传播",
   "level": "l2"
  },
  "CAP_06dd4931": {
   "en": "Argo Events EventSource Listening",
   "zh": "Argo Events EventSource 事件监听",
   "level": "l3"
  },
  "CAP_157169f0": {
   "en": "LifecycleHook Conditional Trigger",
   "zh": "LifecycleHook 条件触发",
   "level": "l3"
  },
  "CAP_8fd3eab5": {
   "en": "Dynamic Task Mapping",
   "zh": "动态任务映射",
   "level": "l3"
  },
  "CAP_324c09a3": {
   "en": "Prefect Deployment Auto Trigger",
   "zh": "Prefect 部署自动触发",
   "level": "l3"
  },
  "CAP_63990db8": {
   "en": "Callback and Alert Execution",
   "zh": "回调与告警执行",
   "level": "l3"
  },
  "CAP_3feed56d": {
   "en": "Matched Event Output And Dispatch",
   "zh": "匹配事件输出与分发",
   "level": "l2"
  },
  "CAP_72fb0496": {
   "en": "CEP Event Stream Ingestion",
   "zh": "CEP 事件流接入",
   "level": "l3"
  },
  "CAP_b1508d1e": {
   "en": "Temporal Pattern Specification",
   "zh": "时序 Pattern 规则定义",
   "level": "l3"
  },
  "CAP_2991b094": {
   "en": "Drools DRL Rule Evaluation",
   "zh": "Drools DRL 规则条件求值",
   "level": "l3"
  },
  "CAP_2b51cab5": {
   "en": "Matched Complex Event Emission",
   "zh": "匹配复杂事件输出与下游派发",
   "level": "l3"
  },
  "CAP_4292ca1a": {
   "en": "Streaming Semantics Guarantees",
   "zh": "流式语义保障",
   "level": "l3"
  },
  "CAP_770f0a89": {
   "en": "Drools Rule Action Execution",
   "zh": "Drools 规则动作执行",
   "level": "l3"
  },
  "CAP_33773abb": {
   "en": "Dynamic Fan-out And Tool Execution",
   "zh": "动态扇出与工具执行",
   "level": "l2"
  },
  "CAP_dbc23223": {
   "en": "Agent Interrupt And Pause Control",
   "zh": "智能体中断与暂停恢复",
   "level": "l2"
  },
  "CAP_3e7e8b7a": {
   "en": "Agent Handoff And Rerouting",
   "zh": "智能体交接与动态重路由",
   "level": "l2"
  },
  "CAP_72b46874": {
   "en": "Agent Fallback And Tool Orchestration",
   "zh": "智能体降级恢复与工具编排",
   "level": "l2"
  },
  "CAP_85e82bdb": {
   "en": "LangGraph Interrupt Pause Resume",
   "zh": "LangGraph 中断暂停与恢复",
   "level": "l3"
  },
  "CAP_d056318a": {
   "en": "LangGraph RetryPolicy Configuration",
   "zh": "LangGraph RetryPolicy 配置",
   "level": "l3"
  },
  "CAP_d82d85da": {
   "en": "Anthropic PTC Code Orchestration",
   "zh": "Anthropic PTC 代码编排",
   "level": "l3"
  },
  "CAP_d079ddce": {
   "en": "Event-Guided High Frame Rate Generation",
   "zh": "事件引导高帧率视频生成",
   "level": "l3"
  },
  "CAP_bdbb7730": {
   "en": "Dual-Stream Event-RGB Feature Fusion Perception",
   "zh": "双流事件-RGB特征融合感知",
   "level": "l2"
  },
  "CAP_1a2f75a0": {
   "en": "Event-RGB Fusion Moving Object Detection",
   "zh": "事件-RGB融合运动目标检测",
   "level": "l3"
  },
  "CAP_ab52f5bf": {
   "en": "Event-RGB Fusion End-to-End Steering Prediction",
   "zh": "事件-RGB融合端到端转向预测",
   "level": "l3"
  },
  "CAP_d448e490": {
   "en": "Event-RGB Fusion Semantic Segmentation",
   "zh": "事件-RGB融合语义分割",
   "level": "l3"
  },
  "CAP_8d0067ed": {
   "en": "Event-Based Video Frame Interpolation",
   "zh": "基于事件的视频帧插值",
   "level": "l2"
  },
  "CAP_319f53f1": {
   "en": "Event-Frame Non-Linear Motion Spline Estimation",
   "zh": "事件-帧非线性运动样条估计",
   "level": "l3"
  },
  "CAP_a58b6700": {
   "en": "Warping-Synthesis Attention Fusion Interpolation",
   "zh": "变形-合成注意力融合插值",
   "level": "l3"
  },
  "CAP_7b417d93": {
   "en": "End-to-End Behavioral Cloning Driving",
   "zh": "端到端行为克隆驾驶",
   "level": "l3"
  },
  "CAP_0097df7f": {
   "en": "Cross-Modal Hierarchical Knowledge Distillation Training",
   "zh": "跨模态分层知识蒸馏训练",
   "level": "l3"
  },
  "CAP_b3cc665c": {
   "en": "One-Stream Transformer Tracking Backbone",
   "zh": "单流 Transformer 跟踪骨干",
   "level": "l3"
  },
  "CAP_0f2ee5c9": {
   "en": "Response Map Bbox Localization",
   "zh": "响应图目标定位",
   "level": "l3"
  },
  "CAP_99dca921": {
   "en": "Adaptive Temporal Sampling for Event Streams",
   "zh": "事件流自适应时间采样",
   "level": "l3"
  },
  "CAP_87a18cf7": {
   "en": "Asynchronous Attention Embedding via TACN",
   "zh": "TACN 异步注意力嵌入",
   "level": "l3"
  },
  "CAP_f2168782": {
   "en": "Spatio-Temporal Memory Continuous Detection",
   "zh": "时空记忆连续检测",
   "level": "l3"
  },
  "CAP_170b82bb": {
   "en": "Continuous Detection-to-Track Association",
   "zh": "连续检测-轨迹关联",
   "level": "l3"
  },
  "CAP_5ec592e5": {
   "en": "Motion-Compensated Event Image Generation",
   "zh": "运动补偿事件图像生成",
   "level": "l3"
  },
  "CAP_190f39f5": {
   "en": "Adaptive Threshold Event-Based Detection",
   "zh": "自适应阈值事件检测",
   "level": "l3"
  },
  "CAP_73dd4c7d": {
   "en": "Ballistic Parabola Trajectory Fitting",
   "zh": "弹道抛物线轨迹拟合",
   "level": "l3"
  },
  "CAP_65ecc3b3": {
   "en": "Contrast Maximization Event Optical Flow",
   "zh": "对比度最大化事件光流",
   "level": "l2"
  },
  "CAP_387583e3": {
   "en": "Local Plane Fitting Event Optical Flow",
   "zh": "局部平面拟合事件光流",
   "level": "l2"
  },
  "CAP_4b490421": {
   "en": "Differentiable Event Warping",
   "zh": "可微事件扭曲",
   "level": "l3"
  },
  "CAP_ff2d88a1": {
   "en": "IWE Accumulation",
   "zh": "扭曲事件图像累加",
   "level": "l3"
  },
  "CAP_a306be10": {
   "en": "Contrast Maximization Objective",
   "zh": "对比度最大化目标",
   "level": "l3"
  },
  "CAP_0d42b266": {
   "en": "Newton-CG Flow Optimization",
   "zh": "牛顿-共轭梯度流场优化",
   "level": "l3"
  },
  "CAP_92d13d6c": {
   "en": "Coarse-to-Fine Flow Scheduling",
   "zh": "多尺度流场调度",
   "level": "l3"
  },
  "CAP_0f713057": {
   "en": "Local Time Surface Construction",
   "zh": "局部时间表面构造",
   "level": "l3"
  },
  "CAP_2e339226": {
   "en": "Slope to Flow Mapping",
   "zh": "斜率到光流闭式映射",
   "level": "l3"
  },
  "CAP_db982573": {
   "en": "Event Count-Timestamp Image Encoding",
   "zh": "事件计数-时间戳图像编码",
   "level": "l3"
  },
  "CAP_0475fb5b": {
   "en": "UNet Flow Backbone",
   "zh": "UNet 流回归骨干",
   "level": "l3"
  },
  "CAP_505d8af8": {
   "en": "Grayscale Photometric Warping Loss",
   "zh": "灰度光度 warping 损失",
   "level": "l3"
  },
  "CAP_5df1a313": {
   "en": "Flow Smoothness Regularization",
   "zh": "流场平滑正则化",
   "level": "l3"
  },
  "CAP_8ac7e7e4": {
   "en": "Intermediate Flow Heads",
   "zh": "多尺度中间流预测头",
   "level": "l3"
  },
  "CAP_77320e86": {
   "en": "Supervised Event Correlation Flow",
   "zh": "监督式事件相关性光流",
   "level": "l2"
  },
  "CAP_a374f393": {
   "en": "Event Voxel Grid Encoding",
   "zh": "事件体素网格编码",
   "level": "l3"
  },
  "CAP_a2c7cf41": {
   "en": "Dual Event Feature Encoder",
   "zh": "双流事件特征编码",
   "level": "l3"
  },
  "CAP_da961ba5": {
   "en": "Warm-Start Forward Warp",
   "zh": "热启动前向 warp",
   "level": "l3"
  },
  "CAP_0f1e1a14": {
   "en": "Event Representation (Voxel Grid)",
   "zh": "事件体素网格表示",
   "level": "l3"
  },
  "CAP_263ffaa8": {
   "en": "Event Stream Acquisition",
   "zh": "事件流获取",
   "level": "l3"
  },
  "CAP_33b6486e": {
   "en": "Recurrent UNet Event-to-Image",
   "zh": "循环UNet事件转图像",
   "level": "l3"
  },
  "CAP_d4708864": {
   "en": "Auto HDR Tone Mapping",
   "zh": "自动HDR色调映射",
   "level": "l3"
  },
  "CAP_ea29bee5": {
   "en": "GAN Event Reconstruction",
   "zh": "GAN对抗事件重建",
   "level": "l2"
  },
  "CAP_cd7393fe": {
   "en": "Event Embedding (SBE)",
   "zh": "事件SBE嵌入",
   "level": "l3"
  },
  "CAP_d88b93ab": {
   "en": "GAN Event-to-LR Image",
   "zh": "GAN事件转低分辨率图",
   "level": "l3"
  },
  "CAP_60ac64d3": {
   "en": "GAN Image Restoration",
   "zh": "GAN图像恢复",
   "level": "l3"
  },
  "CAP_5cec6759": {
   "en": "GAN Super-Resolution",
   "zh": "GAN超分辨率",
   "level": "l3"
  },
  "CAP_a6048f6d": {
   "en": "Variational Event Reconstruction",
   "zh": "变分优化事件重建",
   "level": "l2"
  },
  "CAP_c21ec46a": {
   "en": "Primal-Dual Variational Optimization",
   "zh": "原始-对偶变分优化",
   "level": "l3"
  },
  "CAP_6c4826f6": {
   "en": "ImageSequenceOutput",
   "zh": "图像序列输出",
   "level": "l3"
  },
  "CAP_504a4104": {
   "en": "Event-Based SLAM Pipeline",
   "zh": "事件SLAM流水线",
   "level": "l2"
  },
  "CAP_861bf873": {
   "en": "Event Stream Acquisition and Denoising",
   "zh": "事件流采集与去噪",
   "level": "l3"
  },
  "CAP_231cbc79": {
   "en": "SLAM State and Map Output",
   "zh": "SLAM状态与地图输出",
   "level": "l3"
  },
  "CAP_8541d608": {
   "en": "Fronto-Planar Bootstrap Initialization",
   "zh": "前视平面自举初始化",
   "level": "l3"
  },
  "CAP_eca8c821": {
   "en": "Image-to-Model Alignment Tracking",
   "zh": "图像到模型对齐跟踪",
   "level": "l3"
  },
  "CAP_162f7a55": {
   "en": "Stereo Time Surface Representation",
   "zh": "双目时间表面表示",
   "level": "l3"
  },
  "CAP_52818e46": {
   "en": "SGM Depth Initialization",
   "zh": "SGM深度初始化",
   "level": "l3"
  },
  "CAP_fe0f05bb": {
   "en": "Stereo Block-Matching Mapping",
   "zh": "双目块匹配建图",
   "level": "l3"
  },
  "CAP_8cd59773": {
   "en": "Point-Cloud Registration Tracking",
   "zh": "点云配准跟踪",
   "level": "l3"
  },
  "CAP_2f169467": {
   "en": "Stereo Event-Inertial Direct SLAM",
   "zh": "双目事件-惯性直接法SLAM",
   "level": "l2"
  },
  "CAP_eaf010d1": {
   "en": "Time Surface and AA Map Representation",
   "zh": "时间表面与AA图表示",
   "level": "l3"
  },
  "CAP_4935ae25": {
   "en": "VIO System Initialization",
   "zh": "VIO系统初始化",
   "level": "l3"
  },
  "CAP_844f367d": {
   "en": "IMU-Aided Pose Tracking",
   "zh": "IMU辅助位姿跟踪",
   "level": "l3"
  },
  "CAP_219a67e7": {
   "en": "AA-Map Guided Event Mapping",
   "zh": "AA图引导事件建图",
   "level": "l3"
  },
  "CAP_9c2f6a3b": {
   "en": "Normalizing Flow Robot AD",
   "zh": "归一化流机器人异常检测",
   "level": "l2"
  },
  "CAP_851b3d34": {
   "en": "Streaming Online Time Series Anomaly Detection",
   "zh": "流式在线时序异常检测",
   "level": "l2"
  },
  "CAP_0875816f": {
   "en": "Execution Anomaly Score Calibration",
   "zh": "执行异常分数校准与波动滤除",
   "level": "l3"
  },
  "CAP_1f8a6d3c": {
   "en": "Robot Machine Signal Acquisition",
   "zh": "机器人机器信号采集",
   "level": "l3"
  },
  "CAP_6d4a8e2f": {
   "en": "LSTM VAE Construction",
   "zh": "LSTM-VAE 模型构建",
   "level": "l3"
  },
  "CAP_f19c03b7": {
   "en": "Denoising VAE Training",
   "zh": "去噪 VAE 训练",
   "level": "l3"
  },
  "CAP_217d2ce5": {
   "en": "Sensor Graph Structure Learning",
   "zh": "传感器图结构学习",
   "level": "l3"
  },
  "CAP_953e1040": {
   "en": "Graph Attention Prediction",
   "zh": "图注意力预测",
   "level": "l3"
  },
  "CAP_9c4b3373": {
   "en": "Sensor Graph Deviation Root-Cause Localization",
   "zh": "传感器图偏差根因定位",
   "level": "l3"
  },
  "CAP_e26b14cd": {
   "en": "Flow Likelihood Training",
   "zh": "流似然训练",
   "level": "l3"
  },
  "CAP_b385a311": {
   "en": "Anomaly OOD Taxonomy & Injection",
   "zh": "异常/OOD 分类与注入",
   "level": "l3"
  },
  "CAP_3f3849b4": {
   "en": "Robust Random Cut Forest Online Scoring",
   "zh": "鲁棒随机切割森林在线打分",
   "level": "l3"
  },
  "CAP_53eebbb7": {
   "en": "Hierarchical Temporal Memory Online Learning",
   "zh": "层级时序记忆在线学习",
   "level": "l3"
  },
  "CAP_ab505c31": {
   "en": "Online Evaluation with Detection Latency",
   "zh": "在线评估与检测延迟",
   "level": "l3"
  },
  "CAP_b46e8843": {
   "en": "Symbolic Plan-Effect Deviation Detection",
   "zh": "符号化计划效果偏差检测",
   "level": "l2"
  },
  "CAP_86d97fd1": {
   "en": "Expected Predicate Extraction",
   "zh": "预期谓词提取",
   "level": "l3"
  },
  "CAP_3820e6fd": {
   "en": "Actual State Injection",
   "zh": "实际状态注入",
   "level": "l3"
  },
  "CAP_63a6c4ff": {
   "en": "STL/Specification Continuous-Signal Deviation Monitoring",
   "zh": "基于形式规格的连续信号运行时偏差监控",
   "level": "l2"
  },
  "CAP_9d55841b": {
   "en": "Specification Compilation",
   "zh": "预期规格编译",
   "level": "l3"
  },
  "CAP_e5f61826": {
   "en": "Signal Sampling Alignment",
   "zh": "信号采样对齐",
   "level": "l3"
  },
  "CAP_28ee5c92": {
   "en": "Online Robustness Monitoring",
   "zh": "鲁棒度在线监控",
   "level": "l3"
  },
  "CAP_d1be08c3": {
   "en": "Violation Trigger",
   "zh": "违反判定触发",
   "level": "l3"
  },
  "CAP_1dd478be": {
   "en": "Learning-Based Predictive Deviation Detection",
   "zh": "学习型预测式执行偏差检测",
   "level": "l2"
  },
  "CAP_9c71e99b": {
   "en": "Nominal Behavior Model Learning",
   "zh": "名义行为模型学习",
   "level": "l3"
  },
  "CAP_84825534": {
   "en": "Online Prediction/Reconstruction",
   "zh": "在线预测与重构",
   "level": "l3"
  },
  "CAP_b536d5e4": {
   "en": "Precondition and Effect Verification",
   "zh": "前提与效果验证",
   "level": "l3"
  },
  "CAP_35517924": {
   "en": "VLM Dialogue-Based Execution Monitoring and Feedback",
   "zh": "VLM对话式执行监控与反馈",
   "level": "l2"
  },
  "CAP_3512ba3c": {
   "en": "Dialogue-Based Execution Status Reporting",
   "zh": "对话式执行状态报告",
   "level": "l3"
  },
  "CAP_e3668eb2": {
   "en": "Natural Language Failure Explanation Reporting",
   "zh": "自然语言失败解释报告",
   "level": "l3"
  },
  "CAP_726f62fe": {
   "en": "Symbolic Plan Progress Estimation",
   "zh": "符号式计划进度估计",
   "level": "l2"
  },
  "CAP_8414da0b": {
   "en": "Plan Action Dispatch Tracking",
   "zh": "计划动作派发跟踪",
   "level": "l3"
  },
  "CAP_f2b41a93": {
   "en": "Remaining Plan Workload Estimation",
   "zh": "剩余计划工作量估计",
   "level": "l3"
  },
  "CAP_91232bb5": {
   "en": "Desire Goal Stack Extraction",
   "zh": "愿望目标栈提取",
   "level": "l3"
  },
  "CAP_94921701": {
   "en": "Learning Observation Progress Estimation",
   "zh": "学习型观测进度估计",
   "level": "l2"
  },
  "CAP_08098411": {
   "en": "Visual Representation Progress Distance",
   "zh": "视觉表征进度距离",
   "level": "l3"
  },
  "CAP_b59db5c0": {
   "en": "Recurrent Progress Encoder",
   "zh": "循环进度编码器",
   "level": "l3"
  },
  "CAP_b93e486c": {
   "en": "Progress Score Regression",
   "zh": "进度分数回归",
   "level": "l3"
  },
  "CAP_ea9fb54b": {
   "en": "Hierarchical Task Memory Tree State",
   "zh": "层次任务记忆树状态",
   "level": "l3"
  },
  "CAP_5ad0e9af": {
   "en": "Task Relation Reasoning",
   "zh": "任务关系推理",
   "level": "l3"
  },
  "CAP_f0592b05": {
   "en": "Activity Path Synthesis",
   "zh": "活动路径合成",
   "level": "l3"
  },
  "CAP_a05892f0": {
   "en": "Certified Safety Stop Resume Bridging",
   "zh": "认证安全停止恢复桥接",
   "level": "l2"
  },
  "CAP_ae72d6cd": {
   "en": "Safety Gated Plan Handover",
   "zh": "安全门控计划交接",
   "level": "l3"
  },
  "CAP_fe2f5ec7": {
   "en": "Behavior Tree Hold Replan Resume Bridging",
   "zh": "行为树暂停重规划恢复桥接",
   "level": "l2"
  },
  "CAP_7af4f345": {
   "en": "BT Execution Failure Detection",
   "zh": "BT执行失败检测",
   "level": "l3"
  },
  "CAP_22887496": {
   "en": "BT Controller Pause and Deceleration Hold",
   "zh": "BT控制器暂停与减速保持",
   "level": "l3"
  },
  "CAP_26e4895f": {
   "en": "BT Recovery Behavior Hold",
   "zh": "BT恢复行为保持",
   "level": "l3"
  },
  "CAP_a21170b6": {
   "en": "BT Async Replanning",
   "zh": "BT异步重规划",
   "level": "l3"
  },
  "CAP_4d714d6a": {
   "en": "BT Seamless Plan Switch",
   "zh": "BT无缝计划切换",
   "level": "l3"
  },
  "CAP_a6e72a86": {
   "en": "Symbolic Executive Plan Node Hold Redispatch Bridging",
   "zh": "符号化执行器计划节点保持重派发桥接",
   "level": "l2"
  },
  "CAP_2df3f5f9": {
   "en": "Plan Node Failure Detection and Repair Request",
   "zh": "计划节点失败检测与修复请求",
   "level": "l3"
  },
  "CAP_f629dc1e": {
   "en": "Plan Node State Machine Safe Hold",
   "zh": "计划节点状态机安全保持",
   "level": "l3"
  },
  "CAP_7bc6fa4f": {
   "en": "Symbolic Predicate State Maintenance",
   "zh": "符号化谓词状态维护",
   "level": "l3"
  },
  "CAP_91fc2e7b": {
   "en": "Timeline State-Variable Tracking",
   "zh": "时间线状态变量跟踪",
   "level": "l3"
  },
  "CAP_241ac917": {
   "en": "Ontology Belief State Maintenance",
   "zh": "本体化信念状态维护",
   "level": "l3"
  },
  "CAP_7b3fc653": {
   "en": "Callback Latency & Message-Flow Causal Chain Extraction",
   "zh": "回调时延与消息流因果链提取",
   "level": "l3"
  },
  "CAP_ddf6c17b": {
   "en": "Execution Turning Point Identification",
   "zh": "执行转折点识别",
   "level": "l3"
  },
  "CAP_2f7bf074": {
   "en": "Key Decision Node Identification",
   "zh": "关键决策节点识别",
   "level": "l3"
  },
  "CAP_6e93bd3f": {
   "en": "Reasoning Chain Trajectory Replay",
   "zh": "推理链轨迹回放",
   "level": "l3"
  },
  "CAP_a2ec065f": {
   "en": "Rollout Turning Point Identification",
   "zh": "rollout 转折点识别",
   "level": "l3"
  },
  "CAP_a684c18e": {
   "en": "Expected Model Change",
   "zh": "期望模型变化",
   "level": "l1"
  },
  "CAP_3825e053": {
   "en": "Analytic EGL Acquisition",
   "zh": "解析式EGL采集",
   "level": "l2"
  },
  "CAP_7269803a": {
   "en": "Class Probability Prediction",
   "zh": "类别概率预测",
   "level": "l3"
  },
  "CAP_c01655de": {
   "en": "Expected Gradient Length Scoring",
   "zh": "期望梯度长度评分",
   "level": "l3"
  },
  "CAP_821ab7fc": {
   "en": "Retrain Look-ahead Acquisition",
   "zh": "重训式look-ahead采集",
   "level": "l2"
  },
  "CAP_10c13757": {
   "en": "Heuristic Uncertainty Score Computation",
   "zh": "启发式不确定性分数计算",
   "level": "l3"
  },
  "CAP_2317a6d9": {
   "en": "Candidate Label Retraining Simulator",
   "zh": "候选标签重训模拟器",
   "level": "l3"
  },
  "CAP_521b6f18": {
   "en": "Counterfactual Influence Acquisition",
   "zh": "反事实影响采集",
   "level": "l2"
  },
  "CAP_369ab633": {
   "en": "Expected Label Influence Scoring",
   "zh": "候选标签期望影响评分",
   "level": "l3"
  },
  "CAP_3e44e7f7": {
   "en": "Unlabeled Pool Preparation",
   "zh": "未标注数据池准备",
   "level": "l3"
  },
  "CAP_0cb88898": {
   "en": "Top-K Query Selection",
   "zh": "Top-K查询样本选择",
   "level": "l3"
  },
  "CAP_b4724845": {
   "en": "Model Retraining and Update",
   "zh": "模型重训与更新",
   "level": "l3"
  },
  "CAP_6d5aeb5d": {
   "en": "ModelRetraining",
   "zh": "模型重训练",
   "level": "l3"
  },
  "CAP_27b69260": {
   "en": "Covariance Aware Ellipsoidal Margin",
   "zh": "协方差感知椭圆裕度",
   "level": "l3"
  },
  "CAP_e07d434f": {
   "en": "Chance-Constrained Belief Space Trajectory Optimization",
   "zh": "机会约束信念空间轨迹优化",
   "level": "l3"
  },
  "CAP_69bf50da": {
   "en": "Variance-Penalized Conservative Action Selection",
   "zh": "方差惩罚保守动作选择",
   "level": "l3"
  },
  "CAP_96451ef5": {
   "en": "Matroid-Constrained Submodular Viewpoint Selection",
   "zh": "拟阵约束次模视角选择",
   "level": "l3"
  },
  "CAP_95b01b44": {
   "en": "Continual Navigation Experience Refinement",
   "zh": "持续导航经验精炼",
   "level": "l3"
  },
  "CAP_ebf6705e": {
   "en": "Pre-Trained Visual Feature Subsampling",
   "zh": "预训练视觉特征子采样",
   "level": "l3"
  },
  "CAP_bfb37daa": {
   "en": "Online Self-Supervised Traversability Learning",
   "zh": "在线自监督可通行性学习",
   "level": "l2"
  },
  "CAP_6f68c402": {
   "en": "Proprioception-Based Supervision Generation",
   "zh": "本体感知自监督标签生成",
   "level": "l3"
  },
  "CAP_9b7e9cff": {
   "en": "Experienced Cost Layer Online Adaptation",
   "zh": "经验代价层在线生成与自适应",
   "level": "l3"
  },
  "CAP_da3f0441": {
   "en": "Traversability Projection & Planning",
   "zh": "可通行性投影与规划",
   "level": "l2"
  },
  "CAP_2e6e9046": {
   "en": "Learned-Cost Local Planner Command Dispatch",
   "zh": "学习代价局部规划命令派发",
   "level": "l3"
  },
  "CAP_f291c0ed": {
   "en": "Topological Navigation Map Construction and Persistence",
   "zh": "拓扑导航地图构建与持久化",
   "level": "l3"
  },
  "CAP_ccfc78ed": {
   "en": "Edge-Action Labeled Dispatch Execution",
   "zh": "边动作标签派发执行",
   "level": "l3"
  },
  "CAP_2bfd2995": {
   "en": "Experience-Driven Topological Route Selection",
   "zh": "经验驱动拓扑路由选择",
   "level": "l2"
  },
  "CAP_7ef396b6": {
   "en": "Edge Traversal Experience Logging and Statistics",
   "zh": "边遍历经验日志与统计",
   "level": "l3"
  },
  "CAP_3cdb7876": {
   "en": "Semantic Waypoint Matching and Path Planning",
   "zh": "语义航点匹配与路径规划",
   "level": "l3"
  },
  "CAP_9c17f838": {
   "en": "Cross-task Insight Synthesis and Reuse",
   "zh": "跨任务洞察合成与复用",
   "level": "l2"
  },
  "CAP_ff860227": {
   "en": "Reflexion-driven Experience Collection",
   "zh": "Reflexion驱动的经验采集",
   "level": "l3"
  },
  "CAP_6c66323e": {
   "en": "Insight Extraction and Maintenance via Voting",
   "zh": "基于投票操作的洞察提取与维护",
   "level": "l3"
  },
  "CAP_3c7fc027": {
   "en": "Task-Similarity-based Trajectory Retrieval",
   "zh": "基于任务相似度的轨迹检索",
   "level": "l3"
  },
  "CAP_56e24ad5": {
   "en": "Insight-Augmented Task Reasoning",
   "zh": "洞察增强的任务推理",
   "level": "l3"
  },
  "CAP_a7f0effa": {
   "en": "Cross-Task Generalization Evaluation",
   "zh": "跨任务泛化性能评估",
   "level": "l3"
  },
  "CAP_606a17c6": {
   "en": "Learned Motion Planning Experience Generalization",
   "zh": "学习型运动规划经验泛化",
   "level": "l2"
  },
  "CAP_9e189ab7": {
   "en": "Motion Planning Experience Database Construction",
   "zh": "运动规划经验数据库构建",
   "level": "l3"
  },
  "CAP_82008e78": {
   "en": "Experience Relevance Learning and Retrieval",
   "zh": "经验相关性学习检索",
   "level": "l3"
  },
  "CAP_ec489ce4": {
   "en": "Experience-Based Biased Sampling Planning",
   "zh": "基于经验的偏置采样规划",
   "level": "l3"
  },
  "CAP_87466840": {
   "en": "Motion Planning Generalization Evaluation",
   "zh": "运动规划泛化性能评估",
   "level": "l3"
  },
  "CAP_530ac683": {
   "en": "HTN Method Library Construction",
   "zh": "HTN方法库构建",
   "level": "l3"
  },
  "CAP_110a2b3c": {
   "en": "HTN Task Parsing",
   "zh": "HTN任务解析",
   "level": "l3"
  },
  "CAP_d0af0c70": {
   "en": "Initial Task Network Construction",
   "zh": "初始任务网络构建",
   "level": "l3"
  },
  "CAP_7a3f0010": {
   "en": "Task Requirement and Skill Library Parsing",
   "zh": "任务需求与技能库解析",
   "level": "l3"
  },
  "CAP_6f976333": {
   "en": "Cross-task Insight Extraction with Vote Operators",
   "zh": "带投票操作的跨任务洞察提取",
   "level": "l3"
  },
  "CAP_74d63fd2": {
   "en": "Insight Importance Count Maintenance",
   "zh": "洞察重要性计数维护",
   "level": "l3"
  },
  "CAP_c3977104": {
   "en": "Insight-Augmented Task Decomposition",
   "zh": "洞察增强任务分解",
   "level": "l3"
  },
  "CAP_2362ae6d": {
   "en": "Replay-based Lifelong Policy Learning",
   "zh": "回放式策略增量学习",
   "level": "l2"
  },
  "CAP_d2ec498d": {
   "en": "Mixed Batch Replay Sampling",
   "zh": "混合批次回放采样",
   "level": "l3"
  },
  "CAP_38224949": {
   "en": "Nearest Mean Exemplar Classification",
   "zh": "最近均值样例分类",
   "level": "l3"
  },
  "CAP_cb27e080": {
   "en": "Episodic Memory Reference Gradient Computation",
   "zh": "情景记忆参考梯度计算",
   "level": "l3"
  },
  "CAP_0242141e": {
   "en": "Gradient Projection Conflict Avoidance",
   "zh": "梯度投影冲突避免",
   "level": "l3"
  },
  "CAP_06ea1fd6": {
   "en": "Dark Experience Logits Distillation Replay",
   "zh": "暗经验logits蒸馏回放",
   "level": "l3"
  },
  "CAP_972dcf0f": {
   "en": "Causal Feature Attribution Explanation Generation",
   "zh": "因果特征归因解释生成",
   "level": "l3"
  },
  "CAP_d51a7552": {
   "en": "Intention Plan Dispatch Echo",
   "zh": "意图计划派发流回声",
   "level": "l3"
  },
  "CAP_f4eec86d": {
   "en": "Decision Context Acquisition",
   "zh": "决策上下文采集",
   "level": "l3"
  },
  "CAP_78c91755": {
   "en": "Explanation Prompt Construction",
   "zh": "解释 Prompt 构建",
   "level": "l3"
  },
  "CAP_b03d7a61": {
   "en": "Explanation Sufficiency Check",
   "zh": "解释充分性门控",
   "level": "l3"
  },
  "CAP_88374f17": {
   "en": "Explanation Message Composition and Publishing",
   "zh": "解释消息合成与发布",
   "level": "l3"
  },
  "CAP_6c624bb1": {
   "en": "Contrastive Foil Identification",
   "zh": "对比动作对识别",
   "level": "l3"
  },
  "CAP_66965bf8": {
   "en": "Contrastive Attribution Comparison",
   "zh": "对比归因差异计算",
   "level": "l3"
  },
  "CAP_707ea19e": {
   "en": "Counterfactual Intervention Reasoning",
   "zh": "反事实干预推理",
   "level": "l3"
  },
  "CAP_61c48da2": {
   "en": "Contrastive Explanation Verbalization",
   "zh": "对比解释文本生成",
   "level": "l3"
  },
  "CAP_192a97dc": {
   "en": "Explanation Confidence Assessment",
   "zh": "解释置信度评估",
   "level": "l3"
  },
  "CAP_b304f608": {
   "en": "Plan and Intent Data Acquisition",
   "zh": "计划与意图数据采集",
   "level": "l2"
  },
  "CAP_62f16c06": {
   "en": "Trajectory Waypoint Extraction",
   "zh": "轨迹航点提取",
   "level": "l3"
  },
  "CAP_3ce4b782": {
   "en": "Intent Trajectory Smoothing",
   "zh": "意图轨迹平滑插值",
   "level": "l3"
  },
  "CAP_91be271b": {
   "en": "Visual Rendering Target Selection",
   "zh": "可视化渲染目标选择",
   "level": "l3"
  },
  "CAP_ee0b85b9": {
   "en": "AR World Registration and 3D Projection",
   "zh": "AR 世界注册与三维投影",
   "level": "l3"
  },
  "CAP_4736942f": {
   "en": "HMI 2D Overlay Rendering",
   "zh": "HMI 二维叠加渲染",
   "level": "l3"
  },
  "CAP_dd701fd4": {
   "en": "Intent Semantic Annotation",
   "zh": "意图语义标注",
   "level": "l3"
  },
  "CAP_d1d64d7d": {
   "en": "Intent Visualization Rendering",
   "zh": "意图可视化渲染",
   "level": "l3"
  },
  "CAP_40853f97": {
   "en": "Real-Time Pose Sync Update",
   "zh": "实时位姿同步更新",
   "level": "l3"
  },
  "CAP_9d518524": {
   "en": "Receding Horizon Next Best View Exploration",
   "zh": "滚动时域下一最佳视角探索",
   "level": "l2"
  },
  "CAP_70c40ae0": {
   "en": "Volumetric Ray-Casting Gain Calculation",
   "zh": "体素光线投射增益计算",
   "level": "l3"
  },
  "CAP_db7514f9": {
   "en": "RRT Viewpoint Tree Expansion",
   "zh": "RRT视点树扩展",
   "level": "l3"
  },
  "CAP_8bd5c0a9": {
   "en": "Branch-and-Bound Gain Pruning",
   "zh": "分支界定增益剪枝",
   "level": "l3"
  },
  "CAP_e9363a16": {
   "en": "Gain-Cost Ratio Path Selection",
   "zh": "增益代价比路径选择",
   "level": "l3"
  },
  "CAP_5c5c1331": {
   "en": "Receding-Horizon Replanning Control",
   "zh": "滚动时域重规划控制",
   "level": "l3"
  },
  "CAP_146e8a37": {
   "en": "Incremental Frontier Information Structure Maintenance",
   "zh": "增量前沿信息结构维护",
   "level": "l3"
  },
  "CAP_0af8c000": {
   "en": "FIS-Based Global TSP Tour Planning",
   "zh": "基于FIS的全局TSP巡游规划",
   "level": "l3"
  },
  "CAP_f4cbf047": {
   "en": "Local Viewpoint Sampling and Refinement",
   "zh": "局部视点采样与精化",
   "level": "l3"
  },
  "CAP_0b125261": {
   "en": "FIS-Driven Incremental Replanning",
   "zh": "FIS驱动增量重规划",
   "level": "l3"
  },
  "CAP_bb66e9a4": {
   "en": "Hierarchical Representation Granularity Exploration Planning",
   "zh": "分层表征粒度探索规划",
   "level": "l2"
  },
  "CAP_3d6ea195": {
   "en": "Multi-Resolution Dynamic Map Representation",
   "zh": "多分辨率动态地图表征",
   "level": "l3"
  },
  "CAP_fe9d65e9": {
   "en": "Local Dense Frontier Path Planning",
   "zh": "局部稠密前沿路径规划",
   "level": "l3"
  },
  "CAP_0eaf8d6f": {
   "en": "Global Sparse Graph Routing with OR-Tools",
   "zh": "全局稀疏图OR-Tools路由",
   "level": "l3"
  },
  "CAP_1f25f21f": {
   "en": "Global-Local Path Stitching",
   "zh": "全局-局部路径拼接",
   "level": "l3"
  },
  "CAP_60158dc4": {
   "en": "Representation-Aware Replanning Strategy",
   "zh": "表征感知重规划策略",
   "level": "l3"
  },
  "CAP_e205d12c": {
   "en": "Resource-constrained Exploration Sequence Optimization",
   "zh": "资源约束探索序列优化",
   "level": "l3"
  },
  "CAP_c90e3877": {
   "en": "Coarse-Resolution Global Coverage Path Planning",
   "zh": "粗分辨率全局覆盖路径规划",
   "level": "l3"
  },
  "CAP_bb3dccef": {
   "en": "Stochastic Action Exploration",
   "zh": "随机动作扰动探索",
   "level": "l2"
  },
  "CAP_1e87a69d": {
   "en": "Boltzmann Softmax Sampling",
   "zh": "Boltzmann/Softmax 采样探索",
   "level": "l3"
  },
  "CAP_c787453e": {
   "en": "Continuous Action Noise Injection",
   "zh": "连续动作噪声注入",
   "level": "l3"
  },
  "CAP_ed968d66": {
   "en": "Parameter Space Noise Perturbation",
   "zh": "参数空间噪声扰动",
   "level": "l3"
  },
  "CAP_d805472d": {
   "en": "NoisyNet Learned Exploration Noise",
   "zh": "NoisyNet 可学习探索噪声",
   "level": "l3"
  },
  "CAP_d51bbcc7": {
   "en": "Exploration Rate Annealing",
   "zh": "探索率退火调度",
   "level": "l3"
  },
  "CAP_78de21d2": {
   "en": "Uncertainty-Directed Exploration",
   "zh": "不确定性引导探索",
   "level": "l2"
  },
  "CAP_00634147": {
   "en": "Thompson Posterior Sampling (RL)",
   "zh": "Thompson 后验采样探索",
   "level": "l3"
  },
  "CAP_d6cde2ac": {
   "en": "Bootstrapped DQN Deep Exploration",
   "zh": "Bootstrapped DQN 深度探索",
   "level": "l3"
  },
  "CAP_4112a994": {
   "en": "Multi-Source Observation Acquisition & Time Alignment",
   "zh": "多源观测采集与时间对齐",
   "level": "l3"
  },
  "CAP_a8f59d7a": {
   "en": "GPS WGS84 to World Frame Transform",
   "zh": "GPS WGS84 坐标转换",
   "level": "l3"
  },
  "CAP_3d0cfa4e": {
   "en": "EKF Sensor Config & Covariance Preparation",
   "zh": "EKF 传感器配置与协方差准备",
   "level": "l3"
  },
  "CAP_70c76679": {
   "en": "Additive EKF State Prediction",
   "zh": "加性 EKF 状态预测",
   "level": "l3"
  },
  "CAP_d864efe9": {
   "en": "EKF Partial State Measurement Update",
   "zh": "EKF 部分状态量测更新",
   "level": "l3"
  },
  "CAP_c8554640": {
   "en": "Fused Odometry Message & TF Publishing",
   "zh": "融合里程计消息与 TF 发布",
   "level": "l3"
  },
  "CAP_5b8e7613": {
   "en": "Sensor Data Preprocessing and Time Alignment",
   "zh": "传感器数据预处理与时间对齐",
   "level": "l2"
  },
  "CAP_14562009": {
   "en": "IMU Data Preprocessing",
   "zh": "IMU 数据预处理",
   "level": "l3"
  },
  "CAP_e85e2a3b": {
   "en": "Odometry Data Preprocessing",
   "zh": "里程计数据预处理",
   "level": "l3"
  },
  "CAP_d3c11d8a": {
   "en": "GPS Data Preprocessing",
   "zh": "GPS 数据预处理",
   "level": "l3"
  },
  "CAP_40ab4af9": {
   "en": "Time Alignment and Synchronization",
   "zh": "时间对齐与同步",
   "level": "l3"
  },
  "CAP_ff484564": {
   "en": "EKF State Prediction and Update",
   "zh": "EKF 状态预测与更新",
   "level": "l2"
  },
  "CAP_4e97857f": {
   "en": "Odometry Measurement Update",
   "zh": "里程计测量更新",
   "level": "l3"
  },
  "CAP_c85da0a4": {
   "en": "GPS Measurement Update",
   "zh": "GPS 测量更新",
   "level": "l3"
  },
  "CAP_0d0a0a95": {
   "en": "Global Localization and Coordinate Transformation",
   "zh": "全局定位与坐标转换",
   "level": "l2"
  },
  "CAP_2273620f": {
   "en": "UTM Coordinate Conversion",
   "zh": "UTM 坐标转换",
   "level": "l3"
  },
  "CAP_77c77b39": {
   "en": "ESKF IMU Preprocess",
   "zh": "IMU 误差补偿与预处理",
   "level": "l3"
  },
  "CAP_6892fec7": {
   "en": "IMU Mechanization & Coning-Sculling Compensation",
   "zh": "IMU 机械编排与圆锥划桨补偿",
   "level": "l3"
  },
  "CAP_0ae7d952": {
   "en": "Nominal State Forward Integration on SO(3)",
   "zh": "SO(3) 流形 Nominal 状态前向积分",
   "level": "l3"
  },
  "CAP_3c967282": {
   "en": "ESKF Error-State Prediction",
   "zh": "ESKF 误差状态预测",
   "level": "l3"
  },
  "CAP_5da869d8": {
   "en": "Error-State EKF INS Localization",
   "zh": "误差状态EKF惯性/GNSS定位",
   "level": "l2"
  },
  "CAP_ef6fa4ea": {
   "en": "Visual Feature Extraction & Tracking",
   "zh": "视觉特征提取与跟踪",
   "level": "l3"
  },
  "CAP_78028ce8": {
   "en": "IMU Preintegration & State Propagation",
   "zh": "IMU预积分与状态传播",
   "level": "l3"
  },
  "CAP_d01e44c7": {
   "en": "Sliding-Window Pose Cloning",
   "zh": "滑动窗口位姿克隆",
   "level": "l3"
  },
  "CAP_1a2bcabc": {
   "en": "Feature Triangulation & MSCKF Measurement Update",
   "zh": "特征三角化与MSCKF测量更新",
   "level": "l3"
  },
  "CAP_17c10aaa": {
   "en": "Visual-Inertial Initialization",
   "zh": "视觉惯性初始化",
   "level": "l3"
  },
  "CAP_48baf8f6": {
   "en": "Sliding-Window Marginalization & Consistency Maintenance",
   "zh": "滑窗边缘化与一致性维护",
   "level": "l3"
  },
  "CAP_8c85338b": {
   "en": "Sliding-Window MSCKF Visual-Inertial Odometry",
   "zh": "滑窗MSCKF视觉惯性里程计",
   "level": "l2"
  },
  "CAP_bd1033b8": {
   "en": "State Output & Evaluation",
   "zh": "状态输出与评测",
   "level": "l3"
  },
  "CAP_a292f740": {
   "en": "LiDAR Point Cloud Accumulation & Motion-Distortion Removal",
   "zh": "LiDAR 点云预处理与运动畸变去除",
   "level": "l3"
  },
  "CAP_3bcefed6": {
   "en": "State Augmentation & Backward Propagation",
   "zh": "状态增强与反向传播",
   "level": "l3"
  },
  "CAP_3c5d771d": {
   "en": "Degeneracy Detection & Handling",
   "zh": "退化检测与处理",
   "level": "l2"
  },
  "CAP_51393d91": {
   "en": "Offline Target-Based Multi-Sensor Extrinsic Calibration",
   "zh": "离线靶标多传感器外参标定",
   "level": "l2"
  },
  "CAP_f4795b3e": {
   "en": "Calibration Target Detection",
   "zh": "标定靶检测与位姿提取",
   "level": "l3"
  },
  "CAP_4fe42bf9": {
   "en": "Extrinsic Projection Verification",
   "zh": "外参投影可视化验证",
   "level": "l3"
  },
  "CAP_9615ea38": {
   "en": "Offline Targetless Multi-Sensor Extrinsic Calibration",
   "zh": "离线无靶标多传感器外参标定",
   "level": "l2"
  },
  "CAP_e424580e": {
   "en": "NDT Map Construction for Calibration",
   "zh": "标定用NDT地图构建",
   "level": "l3"
  },
  "CAP_fea15a2d": {
   "en": "Cross-Modal Feature Association (Targetless)",
   "zh": "跨模态特征关联（无靶标）",
   "level": "l3"
  },
  "CAP_a171e53c": {
   "en": "Point Cloud Crispness Optimization",
   "zh": "点云叠加清晰度优化",
   "level": "l3"
  },
  "CAP_b0ca8542": {
   "en": "IMU Allan Variance Noise Estimation",
   "zh": "IMU Allan方差噪声估计",
   "level": "l3"
  },
  "CAP_6054b77f": {
   "en": "Camera-IMU Spatiotemporal Joint Batch Optimization",
   "zh": "相机IMU时空联合批优化",
   "level": "l3"
  },
  "CAP_9ec33f0a": {
   "en": "Ceres Batch Nonlinear Least Squares",
   "zh": "Ceres批量非线性最小二乘",
   "level": "l3"
  },
  "CAP_3360eeb1": {
   "en": "Calibration Observability Assessment",
   "zh": "标定可观测性评估",
   "level": "l3"
  },
  "CAP_e7fcec08": {
   "en": "Extrinsic Covariance Monitoring",
   "zh": "外参协方差监控",
   "level": "l3"
  },
  "CAP_b52cf002": {
   "en": "Calibration Convergence Check",
   "zh": "标定收敛性判别",
   "level": "l3"
  },
  "CAP_164d8a31": {
   "en": "Online Calibration Accuracy Validation",
   "zh": "在线标定精度验证",
   "level": "l3"
  },
  "CAP_0e0735e6": {
   "en": "ExtrinsicParameterExport",
   "zh": "外参导出",
   "level": "l3"
  },
  "CAP_995e27c4": {
   "en": "CalibrationTargetFabrication",
   "zh": "标定板制作",
   "level": "l3"
  },
  "CAP_e44a8078": {
   "en": "IMUNoiseAllanVarianceAnalysis",
   "zh": "IMU噪声Allan方差分析",
   "level": "l3"
  },
  "CAP_09166e43": {
   "en": "Fiducial Marker Hand-Eye Calibration Pipeline",
   "zh": "基于Fiducial标记的手眼标定管线",
   "level": "l3"
  },
  "CAP_c2ada956": {
   "en": "Calibration Pose Sampling Planning",
   "zh": "标定姿态采样规划",
   "level": "l3"
  },
  "CAP_36cb5eba": {
   "en": "AX-YB Simultaneous Solver",
   "zh": "AX-YB联合求解器",
   "level": "l3"
  },
  "CAP_c30b6ce3": {
   "en": "Nonlinear Batch Optimization Solver",
   "zh": "非线性批优化手眼标定求解器",
   "level": "l3"
  },
  "CAP_c3abfc3b": {
   "en": "Calibration Result Validation and Publishing",
   "zh": "标定结果验证与发布",
   "level": "l3"
  },
  "CAP_a1f2c3d4": {
   "en": "Haar Cascade Face Detection",
   "zh": "Haar 级联人脸检测",
   "level": "l2"
  },
  "CAP_da36b067": {
   "en": "Grayscale Conversion",
   "zh": "灰度转换",
   "level": "l3"
  },
  "CAP_c3f4e5d6": {
   "en": "Integral Image Computation",
   "zh": "积分图计算",
   "level": "l3"
  },
  "CAP_d4a5b6c7": {
   "en": "Multiscale Sliding Window Scan",
   "zh": "多尺度滑动窗口扫描",
   "level": "l3"
  },
  "CAP_e5b6c7d8": {
   "en": "Haar Feature Extraction",
   "zh": "Haar 特征提取",
   "level": "l3"
  },
  "CAP_f6c7d8e9": {
   "en": "Cascade AdaBoost Classification",
   "zh": "级联 AdaBoost 分类",
   "level": "l3"
  },
  "CAP_a7d8e9f0": {
   "en": "Detection Window Merging",
   "zh": "检测窗口合并",
   "level": "l3"
  },
  "CAP_b8e9f0a1": {
   "en": "Cascaded CNN Face Detection",
   "zh": "级联 CNN 人脸检测",
   "level": "l2"
  },
  "CAP_c9f0a1b2": {
   "en": "Image Pyramid Construction",
   "zh": "图像金字塔构建",
   "level": "l3"
  },
  "CAP_d0a1b2c3": {
   "en": "P-Net Proposal Generation",
   "zh": "P-Net 候选窗口生成",
   "level": "l3"
  },
  "CAP_e1b2c3d4": {
   "en": "Inter-stage NMS and Bbox Refinement",
   "zh": "级间 NMS 与边框修正",
   "level": "l3"
  },
  "CAP_f2c3d4e5": {
   "en": "R-Net Refinement",
   "zh": "R-Net 精修过滤",
   "level": "l3"
  },
  "CAP_a3d4e5f6": {
   "en": "O-Net Detection and Landmark",
   "zh": "O-Net 检测与关键点输出",
   "level": "l3"
  },
  "CAP_b4e5f6a7": {
   "en": "Single-Stage Dense Face Detection",
   "zh": "单阶段密集人脸检测",
   "level": "l2"
  },
  "CAP_c5f6a7b8": {
   "en": "Image Resize and Padding",
   "zh": "图像缩放与填充",
   "level": "l3"
  },
  "CAP_e7b8c9d0": {
   "en": "FPN Multi-scale Feature Pyramid",
   "zh": "FPN 多尺度特征金字塔",
   "level": "l3"
  },
  "CAP_f8c9d0e1": {
   "en": "Context Module and DCN",
   "zh": "上下文模块与可变形卷积",
   "level": "l3"
  },
  "CAP_a9d0e1f2": {
   "en": "Multi-task Detection Head",
   "zh": "多任务检测头",
   "level": "l3"
  },
  "CAP_b0d1e2f3": {
   "en": "Anchor Decoding and NMS",
   "zh": "Anchor 解码与 NMS",
   "level": "l3"
  },
  "CAP_c1dd2d06": {
   "en": "Server-Scale Face Identification Pipeline",
   "zh": "服务器级人脸识别流水线",
   "level": "l2"
  },
  "CAP_f1002514": {
   "en": "Face Detection and Keypoint Extraction",
   "zh": "人脸检测与关键点提取",
   "level": "l3"
  },
  "CAP_dda1f4d4": {
   "en": "Face Alignment (Affine Normalization)",
   "zh": "人脸仿射对齐归一化",
   "level": "l3"
  },
  "CAP_7ee33f8e": {
   "en": "ArcFace Deep Embedding Extraction",
   "zh": "ArcFace 深度嵌入提取",
   "level": "l3"
  },
  "CAP_177ef67d": {
   "en": "Top-K ANN Retrieval and Open-Set Decision",
   "zh": "Top-K 近邻检索与开集判定",
   "level": "l3"
  },
  "CAP_6c5157c0": {
   "en": "Video Face Identification with Temporal Aggregation",
   "zh": "视频人脸时序聚合识别",
   "level": "l2"
  },
  "CAP_bd98dde9": {
   "en": "Video Face Detection and Tracking",
   "zh": "视频人脸检测与跟踪",
   "level": "l3"
  },
  "CAP_676d7e1c": {
   "en": "Quality-Aware Temporal Aggregation",
   "zh": "质量感知时序聚合",
   "level": "l3"
  },
  "CAP_a5186195": {
   "en": "On-Device Lightweight Face Identification",
   "zh": "端侧轻量人脸识别",
   "level": "l2"
  },
  "CAP_653ac821": {
   "en": "Lightweight Face Detection (On-Device)",
   "zh": "端侧轻量人脸检测",
   "level": "l3"
  },
  "CAP_c91e073a": {
   "en": "MobileFaceNet Lightweight Embedding",
   "zh": "MobileFaceNet 轻量嵌入提取",
   "level": "l3"
  },
  "CAP_4e5adada": {
   "en": "NPU/CPU On-Device Inference",
   "zh": "端侧 NPU/CPU 推理",
   "level": "l3"
  },
  "CAP_473660a7": {
   "en": "Compact In-Memory Gallery Retrieval",
   "zh": "紧凑内存库检索",
   "level": "l3"
  },
  "CAP_852b8bf2": {
   "en": "Shape Model Initialization",
   "zh": "形状模型初始化",
   "level": "l3"
  },
  "CAP_71de91f9": {
   "en": "ERT Cascade Shape Regression",
   "zh": "ERT 级联形状回归",
   "level": "l3"
  },
  "CAP_6acf3b19": {
   "en": "Landmark Output and Quality Assessment",
   "zh": "关键点输出与质量评估",
   "level": "l3"
  },
  "CAP_a49e9e3f": {
   "en": "Face ROI Normalization",
   "zh": "人脸 ROI 归一化",
   "level": "l3"
  },
  "CAP_e8170b48": {
   "en": "FAN Hourglass Heatmap Inference",
   "zh": "FAN Hourglass 热图推理",
   "level": "l3"
  },
  "CAP_6e70eab8": {
   "en": "Heatmap Decoding and Subpixel Refinement",
   "zh": "热图解码与亚像素精化",
   "level": "l3"
  },
  "CAP_74fb072b": {
   "en": "3DMM ROI Normalization",
   "zh": "3DMM ROI 归一化",
   "level": "l3"
  },
  "CAP_20a5f8fa": {
   "en": "3DMM Parameter Regression",
   "zh": "3DMM 参数回归",
   "level": "l3"
  },
  "CAP_8f21786e": {
   "en": "3DMM Dense Landmark Reconstruction",
   "zh": "3DMM 密集关键点重建",
   "level": "l3"
  },
  "CAP_83491c90": {
   "en": "Face ROI Crop and Alignment",
   "zh": "人脸 ROI 裁剪与对齐",
   "level": "l3"
  },
  "CAP_c5db5c4c": {
   "en": "Direct 3D Coordinate Regression",
   "zh": "直接 3D 坐标回归",
   "level": "l3"
  },
  "CAP_32ee409a": {
   "en": "AR Face Transform",
   "zh": "AR 面部变换",
   "level": "l3"
  },
  "CAP_231cee7a": {
   "en": "Deep Embedding Verification Pipeline",
   "zh": "深度嵌入人脸验证流水线",
   "level": "l2"
  },
  "CAP_c1062f19": {
   "en": "Deep Face Embedding Extraction",
   "zh": "深度人脸嵌入提取",
   "level": "l3"
  },
  "CAP_671ebafa": {
   "en": "Embedding Distance Verification",
   "zh": "嵌入距离验证与阈值判定",
   "level": "l3"
  },
  "CAP_c67633d3": {
   "en": "Hand-Crafted Feature Verification Pipeline",
   "zh": "经典手工特征人脸验证流水线",
   "level": "l2"
  },
  "CAP_d79487fb": {
   "en": "LBP Face Feature Extraction",
   "zh": "LBP 人脸特征提取",
   "level": "l3"
  },
  "CAP_ac73ac1e": {
   "en": "PCA and LDA Subspace Face Projection",
   "zh": "PCA/LDA 子空间人脸投影",
   "level": "l3"
  },
  "CAP_dfd2803b": {
   "en": "Histogram Distance Face Verification",
   "zh": "直方图距离人脸验证与阈值判定",
   "level": "l3"
  },
  "CAP_9a9ffe93": {
   "en": "Facial Behavior Analysis",
   "zh": "面部行为分析",
   "level": "l2"
  },
  "CAP_2f1cdb3b": {
   "en": "Facial Action Unit Recognition",
   "zh": "面部动作单元识别",
   "level": "l3"
  },
  "CAP_ea9dd1c1": {
   "en": "AU Intensity Regression",
   "zh": "AU 强度回归",
   "level": "l3"
  },
  "CAP_f0e40534": {
   "en": "Dynamic AU Calibration",
   "zh": "动态 AU 人物校准",
   "level": "l3"
  },
  "CAP_9a231a3f": {
   "en": "FACS AU to Emotion Mapping",
   "zh": "FACS AU 组合情感映射",
   "level": "l3"
  },
  "CAP_a4ee38a4": {
   "en": "Vision Transformer Parameter-Efficient AU Detection",
   "zh": "视觉 Transformer 参数高效 AU 检测",
   "level": "l2"
  },
  "CAP_6cdf672c": {
   "en": "ViT Frozen Feature Extraction",
   "zh": "冻结 ViT 特征提取",
   "level": "l3"
  },
  "CAP_98dfa85c": {
   "en": "AU-specific MoKE Adapter Injection",
   "zh": "AU 专用 MoKE 适配器注入",
   "level": "l3"
  },
  "CAP_2716c370": {
   "en": "MDWA Asymmetric Loss Training",
   "zh": "截断边缘难度加权不对称损失训练",
   "level": "l3"
  },
  "CAP_07708400": {
   "en": "Multi-Task Facial Expression Detection",
   "zh": "多任务统一面部表情检测",
   "level": "l2"
  },
  "CAP_32893e86": {
   "en": "Multi-Task Network AU Detection Head",
   "zh": "多任务网络 AU 检测头",
   "level": "l3"
  },
  "CAP_460948de": {
   "en": "Fex Data Structure Assembly",
   "zh": "Fex 数据结构组装",
   "level": "l3"
  },
  "CAP_c0378f21": {
   "en": "Facial Expression Recognition Pipeline",
   "zh": "面部表情识别流水线",
   "level": "l2"
  },
  "CAP_f5b5eb8c": {
   "en": "CNN Emotion Classification",
   "zh": "CNN 表情分类",
   "level": "l3"
  },
  "CAP_ca8ad185": {
   "en": "Emotion Result Output",
   "zh": "表情结果输出",
   "level": "l3"
  },
  "CAP_773ffbb7": {
   "en": "AU-Based Expression Analysis Pipeline",
   "zh": "动作单元表情分析流水线",
   "level": "l2"
  },
  "CAP_92e14b4c": {
   "en": "EMFACS Emotion Mapping",
   "zh": "EMFACS规则情绪映射",
   "level": "l3"
  },
  "CAP_e71f3907": {
   "en": "AU Expression Result Output",
   "zh": "AU表情结果输出",
   "level": "l3"
  },
  "CAP_8c0447d2": {
   "en": "VAE Disentangled Representation Learning",
   "zh": "基于 VAE 的解耦表征学习",
   "level": "l2"
  },
  "CAP_2ffe132d": {
   "en": "Ground-Truth Disentanglement Dataset Loading",
   "zh": "真值解耦数据集加载",
   "level": "l3"
  },
  "CAP_b04a7164": {
   "en": "Disentangled VAE Architecture Setup",
   "zh": "解耦 VAE 架构搭建",
   "level": "l3"
  },
  "CAP_f4eaeef6": {
   "en": "Total Correlation Decomposition Training",
   "zh": "总相关性分解训练",
   "level": "l3"
  },
  "CAP_07448c93": {
   "en": "Latent Representation Postprocessing",
   "zh": "潜表征后处理提取",
   "level": "l3"
  },
  "CAP_dea1a5b5": {
   "en": "Disentanglement Metric Evaluation",
   "zh": "解耦度指标评估",
   "level": "l3"
  },
  "CAP_32144845": {
   "en": "Object-Centric Predictive Learning",
   "zh": "对象中心预测学习",
   "level": "l2"
  },
  "CAP_0e434611": {
   "en": "Video Frame Spatial Feature Extraction",
   "zh": "视频帧空间特征提取",
   "level": "l3"
  },
  "CAP_79785b84": {
   "en": "Competitive Attention Slot Binding",
   "zh": "竞争式注意力槽位绑定",
   "level": "l3"
  },
  "CAP_2e6ff642": {
   "en": "Slot Reconstruction Training",
   "zh": "Slot 重建训练",
   "level": "l3"
  },
  "CAP_e4b2e001": {
   "en": "Slot Decoder Reconstruction",
   "zh": "Slot 解码器重建",
   "level": "l3"
  },
  "CAP_e96ea62a": {
   "en": "Slot Self-Supervised Training",
   "zh": "Slot 自监督训练",
   "level": "l3"
  },
  "CAP_79f37c32": {
   "en": "Object-Centric Video Prediction",
   "zh": "对象中心视频预测",
   "level": "l3"
  },
  "CAP_7a3f1c92": {
   "en": "Autoregressive Scene Component Prior",
   "zh": "自回归场景组件先验",
   "level": "l3"
  },
  "CAP_c8519cf3": {
   "en": "Object Discovery Evaluation",
   "zh": "对象发现评估",
   "level": "l3"
  },
  "CAP_1ebcfc5c": {
   "en": "Counterfactual Generation via Do-Intervention",
   "zh": "Do-干预反事实生成",
   "level": "l3"
  },
  "CAP_b26fdcfc": {
   "en": "Factor Insertion and Graph Construction",
   "zh": "因子添加与图构建",
   "level": "l3"
  },
  "CAP_f2a0f5c6": {
   "en": "Robust Kernel Outlier Rejection",
   "zh": "鲁棒核函数外点抑制",
   "level": "l3"
  },
  "CAP_ee87565f": {
   "en": "Marginal Covariance Computation",
   "zh": "边际协方差计算",
   "level": "l3"
  },
  "CAP_82c93ffc": {
   "en": "iSAM2 Relinearization Threshold Management",
   "zh": "iSAM2重线性化阈值管理",
   "level": "l3"
  },
  "CAP_2433c83a": {
   "en": "iSAM2 Incremental Bayes Tree Update",
   "zh": "iSAM2增量Bayes树更新",
   "level": "l3"
  },
  "CAP_4179f3ad": {
   "en": "iSAM2 Fluid Relinearization and State Query",
   "zh": "iSAM2流体重线性化与状态查询",
   "level": "l3"
  },
  "CAP_cf199bb4": {
   "en": "Incremental Factor Insertion for Online SLAM",
   "zh": "在线SLAM增量因子构造",
   "level": "l3"
  },
  "CAP_6d4fcf6c": {
   "en": "Chi-Square Outlier Rejection for Visual Observations",
   "zh": "卡方检验视觉观测外点拒绝",
   "level": "l3"
  },
  "CAP_e8a9ea3c": {
   "en": "Counterexample Defect Localization",
   "zh": "反例缺陷定位",
   "level": "l3"
  },
  "CAP_c22d4a18": {
   "en": "Trajectory Outcome Metrics",
   "zh": "轨迹结果指标采集",
   "level": "l3"
  },
  "CAP_5f44373f": {
   "en": "System Architecture Decomposition",
   "zh": "系统架构分解与安全边界定义",
   "level": "l3"
  },
  "CAP_94e54774": {
   "en": "Component FIT Data Allocation",
   "zh": "组件失效率数据采集与分配",
   "level": "l3"
  },
  "CAP_d80ae2f0": {
   "en": "Diagnostic Candidate Bayesian Ranking",
   "zh": "诊断候选贝叶斯排序",
   "level": "l3"
  },
  "CAP_d4a9cb96": {
   "en": "LLM Failure Correction Planning",
   "zh": "LLM 失败修正规划",
   "level": "l3"
  },
  "CAP_8e871a49": {
   "en": "Failure Mode Prediction and Trigger Creation",
   "zh": "故障模式预测与触发器创建",
   "level": "l3"
  },
  "CAP_44440d05": {
   "en": "Action Model Learning and Correction",
   "zh": "动作模型学习与修正",
   "level": "l3"
  },
  "CAP_4f87b950": {
   "en": "Failure Mode and Effects Analysis",
   "zh": "失效模式与影响分析",
   "level": "l3"
  },
  "CAP_283d88f6": {
   "en": "Fault Classification and Path Determination",
   "zh": "故障分类与路径判定",
   "level": "l3"
  },
  "CAP_ee17676a": {
   "en": "Causal Mechanism Assignment",
   "zh": "节点因果机制赋值",
   "level": "l3"
  },
  "CAP_6b3a9c4d": {
   "en": "Symbolic SCM Counterfactual Identification Pipeline",
   "zh": "符号 SCM 反事实识别管线",
   "level": "l3"
  },
  "CAP_84dbfa0a": {
   "en": "Causal Graph Validation",
   "zh": "因果图验证",
   "level": "l3"
  },
  "CAP_8b3e6c20": {
   "en": "Per-dimension Deviation Calibration",
   "zh": "逐维度偏差标定",
   "level": "l3"
  },
  "CAP_ac3c0596": {
   "en": "SIL Reliability Verification",
   "zh": "SIL 可靠性验算",
   "level": "l3"
  },
  "CAP_5e8a4b80": {
   "en": "Multimodal Cross-Sensor Inconsistency Detection",
   "zh": "多模态跨传感器不一致检测",
   "level": "l3"
  },
  "CAP_a77fa6a1": {
   "en": "SCM Anomaly Attribution Ranking",
   "zh": "SCM 异常归因排序",
   "level": "l3"
  },
  "CAP_b0a3c75e": {
   "en": "Graph Deviation Root Cause Attribution",
   "zh": "图偏差根因归因",
   "level": "l3"
  },
  "CAP_e1180e2d": {
   "en": "Fault Tree Minimal Cut Set Root Cause Attribution",
   "zh": "故障树最小割集根因归因",
   "level": "l3"
  },
  "CAP_e64b46a7": {
   "en": "Fall Damage Target Pose Setup",
   "zh": "跌倒损伤缓解目标着地构型设定",
   "level": "l3"
  },
  "CAP_1c7251be": {
   "en": "Inertia Shaping Posture Planning",
   "zh": "惯量整形姿态规划",
   "level": "l3"
  },
  "CAP_98b6c480": {
   "en": "Fall Trajectory Optimization",
   "zh": "跌倒轨迹优化",
   "level": "l3"
  },
  "CAP_bd03b620": {
   "en": "Fall Geometry Reshaping",
   "zh": "跌倒几何重塑",
   "level": "l3"
  },
  "CAP_7c3e8a33": {
   "en": "Fall Joint Torque Tracking",
   "zh": "跌倒关节力矩跟踪",
   "level": "l3"
  },
  "CAP_915dd69e": {
   "en": "Fall Damage Mitigation Impedance Shock Absorption",
   "zh": "跌倒损伤缓解阻抗冲击吸收",
   "level": "l2"
  },
  "CAP_919dc3af": {
   "en": "Centroidal Dynamics Contact Force Optimization",
   "zh": "质心动力学接触力优化",
   "level": "l3"
  },
  "CAP_6e8c4455": {
   "en": "Dual Spring-Damper Landing Control",
   "zh": "双弹簧阻尼着陆控制",
   "level": "l3"
  },
  "CAP_981e6d39": {
   "en": "Compliant Sequence Learning and Tracking",
   "zh": "柔顺速度序列学习与跟踪",
   "level": "l3"
  },
  "CAP_7e9ff86d": {
   "en": "Collision Reflex Mode Switch",
   "zh": "碰撞反射模式切换",
   "level": "l2"
  },
  "CAP_448a6e9d": {
   "en": "Torque Observer Collision Detection",
   "zh": "外力矩观测器碰撞检测",
   "level": "l3"
  },
  "CAP_0b11d4cf": {
   "en": "Svarny Soft Skin Collision Force Model",
   "zh": "Svarny软皮肤碰撞力模型",
   "level": "l3"
  },
  "CAP_9bed6514": {
   "en": "Impact Energy Dissipation Monitoring",
   "zh": "冲击能量耗散监控",
   "level": "l3"
  },
  "CAP_fb0b2ab7": {
   "en": "Fall Damage Mitigation Learning Strategy",
   "zh": "跌倒损伤缓解学习策略",
   "level": "l2"
  },
  "CAP_3a363315": {
   "en": "Contact Sequence Planning via Mixture of Actor-Critic",
   "zh": "混合演员-评论家接触序列规划",
   "level": "l3"
  },
  "CAP_37d5f7a1": {
   "en": "Damage-Aware State Encoding",
   "zh": "损伤感知状态编码",
   "level": "l3"
  },
  "CAP_2573cad8": {
   "en": "Damage-Aware Reward Shaping",
   "zh": "损伤感知奖励塑形",
   "level": "l3"
  },
  "CAP_5755dd37": {
   "en": "Lagrangian Constraint Safety Projection",
   "zh": "拉格朗日约束安全投影",
   "level": "l3"
  },
  "CAP_84f88fc1": {
   "en": "Fall Experience Replay and Fine-Tuning",
   "zh": "跌倒经验回放与微调",
   "level": "l3"
  },
  "CAP_71191357": {
   "en": "Bracing Posture Trigger",
   "zh": "支撑姿态触发",
   "level": "l3"
  },
  "CAP_6ec780df": {
   "en": "Joint-Level Torque Optimization for Safe Falling",
   "zh": "关节级安全跌倒力矩优化",
   "level": "l3"
  },
  "CAP_3cc8c384": {
   "en": "Fall Classification and Alarm",
   "zh": "跌倒分类与告警",
   "level": "l2"
  },
  "CAP_15661f4f": {
   "en": "Pre-Programmed Bracing Posture Trigger",
   "zh": "预编程支撑姿态触发",
   "level": "l3"
  },
  "CAP_067e2492": {
   "en": "Velocity-Adaptive Threshold Pipeline",
   "zh": "速度自适应阈值流水线",
   "level": "l2"
  },
  "CAP_3b562e4c": {
   "en": "Operating-Regime Baseline Calibration",
   "zh": "运动工况基线标定",
   "level": "l3"
  },
  "CAP_91494a76": {
   "en": "Regime-Aware Collision Event Reporting",
   "zh": "工况感知碰撞事件上报",
   "level": "l3"
  },
  "CAP_c69ff8d8": {
   "en": "Threshold Parameter Online Recalibration",
   "zh": "阈值参数在线重标定",
   "level": "l3"
  },
  "CAP_7a97ab4e": {
   "en": "Adaptive Signal Filtering Pipeline",
   "zh": "自适应信号滤波流水线",
   "level": "l2"
  },
  "CAP_ea73a2ff": {
   "en": "Residual Signal Acquisition",
   "zh": "残差信号采集",
   "level": "l3"
  },
  "CAP_c5f7367a": {
   "en": "Adaptive Filter Initialization",
   "zh": "自适应滤波器初始化与参数配置",
   "level": "l3"
  },
  "CAP_2b5a0920": {
   "en": "Filtered Signal Quality Assessment",
   "zh": "滤波信号质量评估",
   "level": "l3"
  },
  "CAP_ba2f78dd": {
   "en": "Filtered Collision Response Trigger",
   "zh": "滤波后碰撞响应触发",
   "level": "l3"
  },
  "CAP_97dba6ca": {
   "en": "Temporal Confirmation Pipeline",
   "zh": "时序确认流水线",
   "level": "l2"
  },
  "CAP_aa59d20a": {
   "en": "Multi-Level Threshold Band Configuration",
   "zh": "多级阈值带配置",
   "level": "l3"
  },
  "CAP_4ec19cc7": {
   "en": "Confirmed Collision Safe Response",
   "zh": "确认碰撞安全响应",
   "level": "l3"
  },
  "CAP_4ab3aa3d": {
   "en": "Adaptive Low-pass Jitter Reduction",
   "zh": "自适应低通去抖",
   "level": "l3"
  },
  "CAP_e390354b": {
   "en": "Persistence Debounce Confirmation",
   "zh": "持续性去抖确认",
   "level": "l3"
  },
  "CAP_da631e9b": {
   "en": "Multichannel Audio Capture",
   "zh": "多通道音频采集",
   "level": "l3"
  },
  "CAP_ad9cce22": {
   "en": "Sound Source Tracking with Ego-Noise Suppression",
   "zh": "声源跟踪与自我噪声抑制",
   "level": "l3"
  },
  "CAP_3f816908": {
   "en": "MSLS Feature and Missing Feature Mask Extraction",
   "zh": "MSLS 特征与缺失特征掩码提取",
   "level": "l3"
  },
  "CAP_f2496213": {
   "en": "Multichannel DSP Far-Field ASR Pipeline",
   "zh": "多通道 DSP 远场语音识别流水线",
   "level": "l2"
  },
  "CAP_0dbd5585": {
   "en": "Guided Source Separation",
   "zh": "引导式声源分离",
   "level": "l3"
  },
  "CAP_12fb4e4b": {
   "en": "SSL Encoder Forward Inference",
   "zh": "自监督预训练编码器前向推理",
   "level": "l3"
  },
  "CAP_66d9c6fc": {
   "en": "Weighted Layer Sum Pooling",
   "zh": "加权层求和池化",
   "level": "l3"
  },
  "CAP_55a31ac7": {
   "en": "LM Rescoring",
   "zh": "语言模型重打分",
   "level": "l3"
  },
  "CAP_08f143a8": {
   "en": "ROVER System Combination",
   "zh": "ROVER 多系统组合",
   "level": "l3"
  },
  "CAP_911053f4": {
   "en": "SSL Pretrained Robust Far-Field ASR Pipeline",
   "zh": "自监督预训练远场鲁棒语音识别流水线",
   "level": "l2"
  },
  "CAP_a5f48667": {
   "en": "Audio-Visual Speaker-Focused Far-Field ASR Pipeline",
   "zh": "音视频融合说话人聚焦远场语音识别流水线",
   "level": "l1"
  },
  "CAP_07992a7d": {
   "en": "AV Stream Capture",
   "zh": "音视频同步采集",
   "level": "l3"
  },
  "CAP_88c907cf": {
   "en": "Active Speaker Detection",
   "zh": "主动说话人检测",
   "level": "l3"
  },
  "CAP_90934139": {
   "en": "Visual Lip Feature Extraction",
   "zh": "唇部视觉特征提取",
   "level": "l3"
  },
  "CAP_e41f5662": {
   "en": "AV-Guided Target Speaker Masking",
   "zh": "音视频引导目标说话人掩蔽估计",
   "level": "l3"
  },
  "CAP_b4fc2d64": {
   "en": "Audio-Visual ASR Decoding",
   "zh": "音视频融合语音识别解码",
   "level": "l3"
  },
  "CAP_0ee54371": {
   "en": "Far-Field Wake Word Detection Pipeline",
   "zh": "远场唤醒词检测流水线",
   "level": "l1"
  },
  "CAP_d9514800": {
   "en": "Low-Power Continuous Audio Capture",
   "zh": "低功耗持续音频采集",
   "level": "l3"
  },
  "CAP_bc76fa7b": {
   "en": "KWS Log-Mel Feature Extraction",
   "zh": "KWS流式log-Mel特征提取",
   "level": "l3"
  },
  "CAP_1a3358bb": {
   "en": "KWS Neural Streaming Inference",
   "zh": "KWS神经网络流式推理",
   "level": "l3"
  },
  "CAP_31b76dfa": {
   "en": "KWS Posterior Smoothing",
   "zh": "KWS后验概率平滑处理",
   "level": "l3"
  },
  "CAP_c7507c10": {
   "en": "Wake Event Dispatch",
   "zh": "唤醒事件派发",
   "level": "l3"
  },
  "CAP_f7990ec7": {
   "en": "Render-Based Hypothesis Generation and Scoring 6D Pose Initialization",
   "zh": "渲染式候选生成与评分6D位姿初始化",
   "level": "l2"
  },
  "CAP_44c9f90b": {
   "en": "Icosphere Rotation Sampling",
   "zh": "正二十面体旋转采样",
   "level": "l3"
  },
  "CAP_82b731ce": {
   "en": "Depth Median Translation Estimation",
   "zh": "深度中值平移估计",
   "level": "l3"
  },
  "CAP_bccb5c9b": {
   "en": "Contrastive Render-Compare Scoring",
   "zh": "对比学习渲染-比对评分",
   "level": "l3"
  },
  "CAP_804efebb": {
   "en": "DINOv2 Patch Retrieval",
   "zh": "DINOv2 Patch检索",
   "level": "l3"
  },
  "CAP_4d526bc6": {
   "en": "Single-View 4DoF Affine PnP",
   "zh": "单视图4DoF仿射PnP",
   "level": "l3"
  },
  "CAP_df966d55": {
   "en": "Dense 2D-3D Correspondence + PnP 6D Pose Initialization",
   "zh": "稠密2D-3D对应+PnP 6D位姿初始化",
   "level": "l2"
  },
  "CAP_c46e700b": {
   "en": "CAD View Rendering for Training",
   "zh": "训练用CAD多视角渲染",
   "level": "l3"
  },
  "CAP_b4d4c981": {
   "en": "Dense Correspondence Regression",
   "zh": "稠密对应回归",
   "level": "l3"
  },
  "CAP_dbd5795f": {
   "en": "Learnable Patch-PnP",
   "zh": "可学习Patch-PnP",
   "level": "l3"
  },
  "CAP_83d517be": {
   "en": "Sparse 3D Keypoint Hough Voting 6D Pose Initialization",
   "zh": "稀疏3D关键点霍夫投票6D位姿初始化",
   "level": "l2"
  },
  "CAP_77d57db9": {
   "en": "Farthest Point Sampling Keypoint Definition",
   "zh": "FPS关键点定义",
   "level": "l3"
  },
  "CAP_0d00f3e2": {
   "en": "PointNet++ RGB-D Feature Extraction",
   "zh": "PointNet++ RGB-D特征提取与融合",
   "level": "l3"
  },
  "CAP_4a7522fd": {
   "en": "Per-Point Offset Hough Voting",
   "zh": "逐点偏移霍夫投票",
   "level": "l3"
  },
  "CAP_b4980f3a": {
   "en": "Geometric PPF Voting 6D Pose Initialization",
   "zh": "几何点对特征投票6D位姿初始化",
   "level": "l2"
  },
  "CAP_b45639b4": {
   "en": "Scene Pair Sampling and Voting",
   "zh": "场景点对采样与Hough投票",
   "level": "l3"
  },
  "CAP_529a3d97": {
   "en": "Pose Hypothesis Clustering",
   "zh": "位姿假设聚类与排序",
   "level": "l3"
  },
  "CAP_b8d5be70": {
   "en": "Objaverse-LVIS Asset Preparation",
   "zh": "Objaverse-LVIS资产准备",
   "level": "l3"
  },
  "CAP_a517635f": {
   "en": "IMU Excitation Check and Preintegration Accumulation",
   "zh": "IMU 激励检查与预积分累积",
   "level": "l3"
  },
  "CAP_d00ddf18": {
   "en": "Vision-Only SfM Initialization",
   "zh": "纯视觉 SfM 初始化（枢纽帧 + 五点法 + 三角化 + PnP + BA）",
   "level": "l3"
  },
  "CAP_cce349b2": {
   "en": "Gyroscope Bias Linear Estimation",
   "zh": "陀螺仪零偏线性估计",
   "level": "l3"
  },
  "CAP_e0a9b440": {
   "en": "Visual-Inertial Linear Alignment",
   "zh": "视觉-惯性线性对齐（尺度/重力/速度联立求解）",
   "level": "l3"
  },
  "CAP_af7359ae": {
   "en": "ORBSLAM3 Periodic Monocular Scale Refinement",
   "zh": "ORB-SLAM3 周期性单目尺度精化",
   "level": "l3"
  },
  "CAP_4e8e1a2f": {
   "en": "Hill Muscle Model Parameter Identification",
   "zh": "Hill 肌肉模型参数辨识",
   "level": "l3"
  },
  "CAP_b6cc6313": {
   "en": "Fatigue-Aware Model Predictive Control",
   "zh": "疲劳感知模型预测控制",
   "level": "l2"
  },
  "CAP_2c8e5d8a": {
   "en": "Dual-Actuator Fatigue-weighted Allocation",
   "zh": "双作动器疲劳加权分配",
   "level": "l3"
  },
  "CAP_e7b3f4d2": {
   "en": "Fatigue Dynamics Equation Parameter Identification",
   "zh": "疲劳演进方程参数辨识",
   "level": "l3"
  },
  "CAP_7a2c5e8d": {
   "en": "Multi-modal Fatigue Feedback Signal Acquisition",
   "zh": "多模态疲劳反馈信号采集与状态估计",
   "level": "l2"
  },
  "CAP_3b9f1d4c": {
   "en": "Fatigue Feature Extraction and Selection",
   "zh": "疲劳特征提取与选择",
   "level": "l3"
  },
  "CAP_8c4e2a6b": {
   "en": "Fatigue State Estimation",
   "zh": "疲劳状态估计",
   "level": "l3"
  },
  "CAP_5d7a9c1e": {
   "en": "Feedback Adaptive Control Law Computation",
   "zh": "反馈自适应控制律计算与调制",
   "level": "l2"
  },
  "CAP_2e8b4f6a": {
   "en": "Adaptive Frequency Oscillator Phase Estimation",
   "zh": "自适应振荡器相位频率估计",
   "level": "l3"
  },
  "CAP_9c1d5a7b": {
   "en": "DMP-LWR EMG Feedback Minimisation",
   "zh": "DMP-LWR EMG 反馈最小化",
   "level": "l3"
  },
  "CAP_4f6a2e8b": {
   "en": "Variable Impedance with Fatigue Supervision",
   "zh": "变阻抗疲劳监督控制",
   "level": "l3"
  },
  "CAP_8b3c7d5e": {
   "en": "HIL CMA-ES Torque Profile Optimization",
   "zh": "HIL CMA-ES 力矩剖面优化",
   "level": "l3"
  },
  "CAP_6a9e1d3c": {
   "en": "Safety Constrained Torque Output",
   "zh": "安全约束力矩输出",
   "level": "l3"
  },
  "CAP_ad0fc94d": {
   "en": "Online Fatigue Indicator Computation",
   "zh": "在线疲劳指标计算",
   "level": "l3"
  },
  "CAP_42c6ddb6": {
   "en": "Fatigue-Aware RL Assist Policy Learning",
   "zh": "疲劳感知 RL 辅助策略学习",
   "level": "l3"
  },
  "CAP_0e2c3f1e": {
   "en": "Fatigue Load Signal Acquisition",
   "zh": "载荷信号采集",
   "level": "l2"
  },
  "CAP_22df3b32": {
   "en": "Rainflow Cycle Counting",
   "zh": "雨流循环计数",
   "level": "l3"
  },
  "CAP_35d4b2da": {
   "en": "S-N Curve Life Mapping",
   "zh": "S-N 曲线寿命映射",
   "level": "l3"
  },
  "CAP_e11b6c69": {
   "en": "Palmgren-Miner Linear Damage Accumulation",
   "zh": "Palmgren-Miner 线性损伤累积",
   "level": "l3"
  },
  "CAP_57b9d27d": {
   "en": "Damage Index Report and Maintenance Advisory",
   "zh": "损伤指数报告与维护建议",
   "level": "l3"
  },
  "CAP_ea7bd996": {
   "en": "Joint Fatigue Index Computation",
   "zh": "关节疲劳指数计算",
   "level": "l3"
  },
  "CAP_dd38115b": {
   "en": "Brownian Motion Degradation Trajectory Fitting",
   "zh": "Brownian 退化轨迹拟合",
   "level": "l3"
  },
  "CAP_2b7a7230": {
   "en": "CTMC Task Severity Modeling",
   "zh": "CTMC 任务严重度建模",
   "level": "l3"
  },
  "CAP_b7996f4d": {
   "en": "Vibration RMS/Kurtosis/Crest Factor Time-Series Accumulation",
   "zh": "振动退化指标时序累积",
   "level": "l3"
  },
  "CAP_42d0f98e": {
   "en": "Wiener Process Degradation Trajectory Modeling",
   "zh": "Wiener 过程退化轨迹建模",
   "level": "l3"
  },
  "CAP_240cd5c9": {
   "en": "Residual Signature Based Fault Isolation",
   "zh": "解析冗余残差签名故障隔离",
   "level": "l2"
  },
  "CAP_ca5ef17f": {
   "en": "Unknown Input Observer Design",
   "zh": "未知输入观测器设计",
   "level": "l3"
  },
  "CAP_cba95fe1": {
   "en": "Generalized Parity Vector Generation",
   "zh": "广义奇偶矢量生成",
   "level": "l3"
  },
  "CAP_e63e7719": {
   "en": "Residual Evaluation",
   "zh": "残差评估",
   "level": "l3"
  },
  "CAP_140cbd65": {
   "en": "DOS and GOS Observer Scheme",
   "zh": "专用与广义观测器方案",
   "level": "l3"
  },
  "CAP_a274f5e6": {
   "en": "Robot Joint and Thruster Fault Isolation",
   "zh": "机器人关节与推进器故障隔离",
   "level": "l2"
  },
  "CAP_658035c7": {
   "en": "Thruster Effectiveness Factor Estimation",
   "zh": "推进器效能因子估计",
   "level": "l3"
  },
  "CAP_24834765": {
   "en": "Adaptive Thrust Reallocation",
   "zh": "自适应推力再分配",
   "level": "l3"
  },
  "CAP_bc7b6a21": {
   "en": "Average Current Park Vector Computation",
   "zh": "平均电流 Park 矢量计算",
   "level": "l3"
  },
  "CAP_50d10530": {
   "en": "Normalized DC Component Fault Classification",
   "zh": "归一化直流分量故障分类",
   "level": "l3"
  },
  "CAP_4e777e01": {
   "en": "Hardware Redundancy Safety Architecture Design",
   "zh": "硬件冗余安全架构设计",
   "level": "l2"
  },
  "CAP_5f40decf": {
   "en": "Lockstep Core Configuration and Comparison",
   "zh": "锁步核配置与比较器监控",
   "level": "l3"
  },
  "CAP_ea80343d": {
   "en": "Hardware Diagnostic Mechanism Design",
   "zh": "硬件诊断机制设计",
   "level": "l3"
  },
  "CAP_53a813bb": {
   "en": "TMR Triple-Channel Voter and Fault Masking",
   "zh": "TMR 三通道表决器与故障掩蔽",
   "level": "l3"
  },
  "CAP_da461b2b": {
   "en": "Fault Detection & Switchover",
   "zh": "故障检测与切换",
   "level": "l3"
  },
  "CAP_8d2fe06e": {
   "en": "MooN Voting Redundancy Topology Design",
   "zh": "MooN 投票冗余拓扑设计",
   "level": "l3"
  },
  "CAP_b2eb294e": {
   "en": "Dual-Port RAM Comparison and Diagnostics",
   "zh": "双端口 RAM 比较与诊断",
   "level": "l3"
  },
  "CAP_04571598": {
   "en": "Federated Filter Fault Tolerant Architecture",
   "zh": "联邦滤波容错架构",
   "level": "l2"
  },
  "CAP_6b9e2d17": {
   "en": "Federated Architecture Configuration",
   "zh": "联邦架构配置",
   "level": "l3"
  },
  "CAP_b6bcdbe8": {
   "en": "Local Filter Independent Processing",
   "zh": "局部滤波器独立处理",
   "level": "l3"
  },
  "CAP_84afaa5f": {
   "en": "Local Filter Consistency Check",
   "zh": "局部滤波器一致性检验",
   "level": "l3"
  },
  "CAP_8f587a29": {
   "en": "Faulty Filter Bypass and Redistribution",
   "zh": "故障滤波器旁路与重分配",
   "level": "l3"
  },
  "CAP_873b47d1": {
   "en": "Per Sensor Residual Voting",
   "zh": "逐传感器残差投票",
   "level": "l3"
  },
  "CAP_90f7ac46": {
   "en": "Innovation Based Sensor Fault Detection",
   "zh": "创新序列传感器故障检测",
   "level": "l2"
  },
  "CAP_6443aced": {
   "en": "Trust Innovation Computation",
   "zh": "信任新息计算",
   "level": "l3"
  },
  "CAP_8b219029": {
   "en": "Covariance Propagation Gating",
   "zh": "协方差传播与异常门控",
   "level": "l3"
  },
  "CAP_b1d4219d": {
   "en": "Faulty Sensor Exclusion and Reconfiguration",
   "zh": "故障传感器排除与重构",
   "level": "l3"
  },
  "CAP_75db59b0": {
   "en": "Cumulative Innovation Bank Monitor",
   "zh": "累积创新序列慢变故障检测",
   "level": "l3"
  },
  "CAP_7d12933b": {
   "en": "Hardware Redundancy Voting Sensor FDI",
   "zh": "硬件冗余投票传感器故障检测与隔离",
   "level": "l2"
  },
  "CAP_f213e815": {
   "en": "Redundant Sensor Synchronous Acquisition",
   "zh": "冗余传感器同步采集",
   "level": "l3"
  },
  "CAP_33a36df2": {
   "en": "Pairwise Sensor Deviation Matrix",
   "zh": "传感器成对偏差矩阵",
   "level": "l3"
  },
  "CAP_fa9998ee": {
   "en": "Multi-Sensor Voting and Redundancy",
   "zh": "多传感器投票与冗余",
   "level": "l3"
  },
  "CAP_7bef94c5": {
   "en": "Sensor Fault Isolation and Degradation",
   "zh": "传感器故障隔离与降级评估",
   "level": "l3"
  },
  "CAP_bc897df8": {
   "en": "Fault Report and Reconfiguration",
   "zh": "故障报告与重构",
   "level": "l3"
  },
  "CAP_3806da78": {
   "en": "Heterogeneous Sensor Evidential Fusion and Conflict Degradation",
   "zh": "异构安全传感器证据融合与冲突降级",
   "level": "l2"
  },
  "CAP_1e2d1120": {
   "en": "Mass Function Construction",
   "zh": "Mass 函数构建",
   "level": "l3"
  },
  "CAP_2a397ad8": {
   "en": "Sensor to Mass Inverse Model",
   "zh": "传感器到 mass 反向模型",
   "level": "l3"
  },
  "CAP_4a831143": {
   "en": "Dempster Combination Rule Fusion",
   "zh": "Dempster 组合规则融合",
   "level": "l3"
  },
  "CAP_d67f6416": {
   "en": "Dempster-Shafer Mass Function Update",
   "zh": "Dempster-Shafer mass 函数更新",
   "level": "l3"
  },
  "CAP_0509dff4": {
   "en": "Conflict Evidence Resolution",
   "zh": "冲突证据处理",
   "level": "l3"
  },
  "CAP_614318b4": {
   "en": "Conflict-Triggered Safe Degradation",
   "zh": "冲突触发安全降级",
   "level": "l3"
  },
  "CAP_d3c3535f": {
   "en": "Evidential Decision Fusion Output",
   "zh": "证据决策融合输出",
   "level": "l3"
  },
  "CAP_5004722f": {
   "en": "Degeneracy-Aware Adaptive Schmidt-Kalman Filter",
   "zh": "退化感知自适应Schmidt-Kalman滤波器",
   "level": "l3"
  },
  "CAP_45351f5f": {
   "en": "Degraded Sensor Data EKF Fusion",
   "zh": "退化传感器数据EKF融合",
   "level": "l3"
  },
  "CAP_6329973f": {
   "en": "KF Innovation Sequence Integrity Monitor",
   "zh": "KF创新序列完整性监视器",
   "level": "l2"
  },
  "CAP_99e746c9": {
   "en": "Innovation Sequence Test Statistic",
   "zh": "创新序列检验统计量计算",
   "level": "l3"
  },
  "CAP_21c840bf": {
   "en": "Worst-Case FMS Recursive Computation",
   "zh": "最坏情况FMS递推计算",
   "level": "l3"
  },
  "CAP_00a6aa4d": {
   "en": "Protection Level Calculation",
   "zh": "保护水平计算",
   "level": "l3"
  },
  "CAP_8d468343": {
   "en": "Redundant IMU Data Acquisition",
   "zh": "冗余IMU数据采集",
   "level": "l2"
  },
  "CAP_f4fc3704": {
   "en": "Triple IMU Raw Data Readout",
   "zh": "三路IMU原始数据读取",
   "level": "l3"
  },
  "CAP_eb41f035": {
   "en": "IMU Calibration and Filtering",
   "zh": "IMU校准与滤波",
   "level": "l3"
  },
  "CAP_c60b2ef0": {
   "en": "TMR Voting and Fault Detection",
   "zh": "三重冗余投票与故障检测",
   "level": "l2"
  },
  "CAP_4d3cb89c": {
   "en": "TMR Majority Voting",
   "zh": "三重冗余多数投票",
   "level": "l3"
  },
  "CAP_9d51602c": {
   "en": "Probabilistic Voting (PVA)",
   "zh": "概率投票算法",
   "level": "l3"
  },
  "CAP_6fbc4271": {
   "en": "D-S Evidence Modeling",
   "zh": "D-S证据建模",
   "level": "l2"
  },
  "CAP_a661d254": {
   "en": "Frame of Discernment Definition",
   "zh": "识别框架定义",
   "level": "l3"
  },
  "CAP_2d0b85ef": {
   "en": "BPA Assignment",
   "zh": "基本概率分配",
   "level": "l3"
  },
  "CAP_78aef325": {
   "en": "D-S Evidence Combination",
   "zh": "D-S证据组合",
   "level": "l2"
  },
  "CAP_171de8b7": {
   "en": "D-S Decision Making",
   "zh": "D-S决策",
   "level": "l2"
  },
  "CAP_3849f2be": {
   "en": "Belief and Plausibility Calculation",
   "zh": "信任与似然计算",
   "level": "l3"
  },
  "CAP_54c24358": {
   "en": "Decision Output",
   "zh": "决策输出",
   "level": "l3"
  },
  "CAP_8aaefa21": {
   "en": "Signal-Statistical Sensor Fault Detection",
   "zh": "信号统计传感器故障检测",
   "level": "l2"
  },
  "CAP_6ee29513": {
   "en": "Sequential Drift and Bias Detection",
   "zh": "序贯漂移与偏差检测",
   "level": "l3"
  },
  "CAP_200b0c06": {
   "en": "Sensor Range Check",
   "zh": "传感器范围检查",
   "level": "l3"
  },
  "CAP_c89f3e1c": {
   "en": "Signal Preprocessing",
   "zh": "信号预处理",
   "level": "l3"
  },
  "CAP_8e515601": {
   "en": "CUSUM/EWMA Change Point Detection",
   "zh": "CUSUM/EWMA变点检测",
   "level": "l3"
  },
  "CAP_dda904fa": {
   "en": "Fault Confirmation and Isolation",
   "zh": "故障确认与隔离",
   "level": "l3"
  },
  "CAP_a3000eb6": {
   "en": "Sensor Health Flag Generation",
   "zh": "传感器健康标志生成",
   "level": "l3"
  },
  "CAP_b8421d35": {
   "en": "Static Fault Tree Solving",
   "zh": "静态故障树求解",
   "level": "l2"
  },
  "CAP_62d04b20": {
   "en": "Top Event Probability Quantification",
   "zh": "顶事件概率定量计算",
   "level": "l3"
  },
  "CAP_c61455f7": {
   "en": "Importance Factor Analysis",
   "zh": "重要度分析",
   "level": "l3"
  },
  "CAP_e7ce4509": {
   "en": "Common Cause Failure Modeling",
   "zh": "共因失效建模",
   "level": "l3"
  },
  "CAP_68b3c7da": {
   "en": "Dynamic Fault Tree Solving",
   "zh": "动态故障树求解",
   "level": "l2"
  },
  "CAP_2e5d8d30": {
   "en": "DFT Modular Decomposition",
   "zh": "DFT 模块化分解",
   "level": "l3"
  },
  "CAP_e3b59231": {
   "en": "CTMC Solving for Dynamic Subtree",
   "zh": "动态子树 CTMC 求解",
   "level": "l3"
  },
  "CAP_7e36cff5": {
   "en": "Rare Event Importance Sampling for DFT",
   "zh": "DFT 罕事件重要性采样",
   "level": "l3"
  },
  "CAP_6541f0b1": {
   "en": "Repairable DFT Availability Analysis",
   "zh": "可修复 DFT 可用度分析",
   "level": "l3"
  },
  "CAP_d9f01589": {
   "en": "Model-Based FTA Synthesis",
   "zh": "模型驱动 FTA 综合",
   "level": "l2"
  },
  "CAP_c23956cc": {
   "en": "AADL-EMV2 FT Synthesis",
   "zh": "AADL EMV2 故障树综合",
   "level": "l3"
  },
  "CAP_566602bf": {
   "en": "CCF Detection from Architecture",
   "zh": "基于架构的共因失效识别",
   "level": "l3"
  },
  "CAP_74cfe9fb": {
   "en": "FT-to-Architecture Traceability",
   "zh": "FT 到架构可追溯矩阵",
   "level": "l3"
  },
  "CAP_670380b0": {
   "en": "Functional Safety Lifecycle FTA Workflow",
   "zh": "功能安全生命周期 FTA 工作流",
   "level": "l2"
  },
  "CAP_c0de3bca": {
   "en": "FTA-FMEA Cross Traceability",
   "zh": "FTA-FMEA 双向追溯",
   "level": "l3"
  },
  "CAP_ec0f6a96": {
   "en": "FTModelParsing",
   "zh": "故障树模型解析",
   "level": "l3"
  },
  "CAP_3a3be9fe": {
   "en": "FTStructureValidation",
   "zh": "故障树结构验证",
   "level": "l3"
  },
  "CAP_116f47fb": {
   "en": "VariableOrderingDetermination",
   "zh": "变量序确定",
   "level": "l3"
  },
  "CAP_6b347387": {
   "en": "FTIRStructuralValidation",
   "zh": "FT IR结构验证",
   "level": "l3"
  },
  "CAP_50c8840a": {
   "en": "DFT Report Generation",
   "zh": "DFT报告生成",
   "level": "l3"
  },
  "CAP_58d6023a": {
   "en": "ZBDD-MCS-Encoding",
   "zh": "ZBDD最小割集编码",
   "level": "l3"
  },
  "CAP_f99e8afb": {
   "en": "MonteCarloPRA",
   "zh": "蒙特卡洛概率风险评估",
   "level": "l3"
  },
  "CAP_d87ba386": {
   "en": "DIFTreeModularDecomposition",
   "zh": "DFT模块化分解",
   "level": "l3"
  },
  "CAP_db98470d": {
   "en": "Classical Feature-Based Distillation",
   "zh": "经典基于特征的蒸馏",
   "level": "l2"
  },
  "CAP_7884886a": {
   "en": "Intermediate Feature Alignment via Adapter Projection",
   "zh": "基于适配层投影的中间特征对齐",
   "level": "l3"
  },
  "CAP_3b39fa01": {
   "en": "Spatial Attention Map Transfer",
   "zh": "空间注意力图迁移",
   "level": "l3"
  },
  "CAP_d9699584": {
   "en": "FSP Matrix (Flow of Solution Procedure) Distillation",
   "zh": "FSP 矩阵蒸馏",
   "level": "l3"
  },
  "CAP_d1804369": {
   "en": "Joint Distillation and Task Training",
   "zh": "蒸馏与任务联合训练",
   "level": "l3"
  },
  "CAP_77972518": {
   "en": "Cross-Modal Knowledge Distillation",
   "zh": "跨模态知识蒸馏",
   "level": "l2"
  },
  "CAP_2181307a": {
   "en": "LiDAR Teacher BEV Feature Extraction",
   "zh": "LiDAR 教师 BEV 特征提取",
   "level": "l3"
  },
  "CAP_7355d16a": {
   "en": "Student cam2bev View Transformation",
   "zh": "学生 cam2bev 视角转换",
   "level": "l3"
  },
  "CAP_72248756": {
   "en": "Cross-Modal Domain Adaptation Layer",
   "zh": "跨模态域适配层",
   "level": "l3"
  },
  "CAP_c64f89b6": {
   "en": "BEV Feature Distillation",
   "zh": "BEV特征蒸馏",
   "level": "l3"
  },
  "CAP_83ab435b": {
   "en": "Cross-Modal Distillation Loss Computation",
   "zh": "跨模态蒸馏损失计算",
   "level": "l3"
  },
  "CAP_fc2a1fa9": {
   "en": "MSFSKD Knowledge Distillation",
   "zh": "MSFSKD多尺度融合到单知识蒸馏",
   "level": "l3"
  },
  "CAP_6dbf7c4e": {
   "en": "Camera BEV Feature Extraction",
   "zh": "相机 BEV 特征提取",
   "level": "l3"
  },
  "CAP_01d4ce92": {
   "en": "BEV Spatial Cross-attention",
   "zh": "BEV 空间交叉注意力",
   "level": "l3"
  },
  "CAP_aa45d7ac": {
   "en": "Training-Only Fusion Inference Decoupling",
   "zh": "训练融合推理解耦",
   "level": "l3"
  },
  "CAP_5398023b": {
   "en": "Foreground-Guided Gaussian Mask Reweighting",
   "zh": "前景引导高斯掩码加权",
   "level": "l3"
  },
  "CAP_e957514a": {
   "en": "Quality-Score Weighted Instance Distillation",
   "zh": "质量分数加权实例蒸馏",
   "level": "l3"
  },
  "CAP_6f705ade": {
   "en": "Matrix-Valued Edge Weight DiscoGraph",
   "zh": "矩阵边权协作图",
   "level": "l3"
  },
  "CAP_8e00b09b": {
   "en": "Teacher Model Pre-training",
   "zh": "教师模型预训练",
   "level": "l3"
  },
  "CAP_5b2c3d4e": {
   "en": "Curvature-Based Edge/Planar Feature Extraction",
   "zh": "基于曲率的边/平面特征提取",
   "level": "l3"
  },
  "CAP_e31a4f0b": {
   "en": "LeGO-LOAM Ground Plane Segmentation",
   "zh": "LeGO-LOAM 地面点分割",
   "level": "l3"
  },
  "CAP_5973ace2": {
   "en": "LeGO-LOAM Two-Step Pose Estimation",
   "zh": "LeGO-LOAM 两步位姿估计",
   "level": "l3"
  },
  "CAP_2ff5155e": {
   "en": "Solid-State LiDAR Point Cloud Ingestion",
   "zh": "Livox 固态 LiDAR 点云接收与坐标变换",
   "level": "l3"
  },
  "CAP_cb1cbb15": {
   "en": "Physics-Based Point Selection",
   "zh": "基于物理特性的点筛选",
   "level": "l3"
  },
  "CAP_35a55fe9": {
   "en": "Reflectivity-Based Edge Feature Enhancement",
   "zh": "反射率边缘特征增强",
   "level": "l3"
  },
  "CAP_7f7594f5": {
   "en": "SRI Image-Space Feature Filtering",
   "zh": "SRI 图像空间特征滤波",
   "level": "l3"
  },
  "CAP_0dabe920": {
   "en": "Hamming Distance Mutual Nearest Neighbor Matching",
   "zh": "汉明距离互近邻匹配",
   "level": "l3"
  },
  "CAP_0a1b2c3f": {
   "en": "BoW Vector Computation via Vocabulary Tree",
   "zh": "BoW词袋向量计算",
   "level": "l3"
  },
  "CAP_7ba6851a": {
   "en": "Inverted Index Loop Closure Verification",
   "zh": "倒排索引回环验证",
   "level": "l3"
  },
  "CAP_04eb79ac": {
   "en": "Learned Condition-Invariant Descriptor Mapping",
   "zh": "学习型条件不变描述子建图",
   "level": "l2"
  },
  "CAP_ac77c847": {
   "en": "Learned Descriptor L2 Normalization",
   "zh": "学习型描述子L2归一化",
   "level": "l3"
  },
  "CAP_3579a2c1": {
   "en": "Learned Descriptor MapPoint Storage",
   "zh": "学习型描述子MapPoint存储",
   "level": "l3"
  },
  "CAP_40dd900b": {
   "en": "MixVPR Feature Mixing Descriptor",
   "zh": "MixVPR特征混合描述子",
   "level": "l3"
  },
  "CAP_fefd6e1b": {
   "en": "3D Geometric Descriptor Mapping",
   "zh": "3D几何描述子建图",
   "level": "l2"
  },
  "CAP_004436e3": {
   "en": "FPFH 3D Local Descriptor Computation",
   "zh": "FPFH 3D局部描述子计算",
   "level": "l3"
  },
  "CAP_e586c7b5": {
   "en": "FPFH Local Feature Refinement for Loop Verification",
   "zh": "FPFH局部特征回环验证精匹配",
   "level": "l3"
  },
  "CAP_3c1f0a26": {
   "en": "FGR & TEASER++ Robust Estimation",
   "zh": "FGR与TEASER++鲁棒优化",
   "level": "l3"
  },
  "CAP_84dd1f8a": {
   "en": "Multi-Resolution Point Cloud Registration",
   "zh": "多分辨率点云配准",
   "level": "l3"
  },
  "CAP_3c1f0a28": {
   "en": "Registration Result & Information Output",
   "zh": "配准结果与信息矩阵输出",
   "level": "l3"
  },
  "CAP_cd170687": {
   "en": "Lifelong Persistent Descriptor Map Maintenance",
   "zh": "终身持久描述子地图维护",
   "level": "l3"
  },
  "CAP_647238eb": {
   "en": "Recursive Bayesian Persistence Filter Update",
   "zh": "递归贝叶斯持续性滤波器更新",
   "level": "l3"
  },
  "CAP_d3eca077": {
   "en": "LiDAR Multi-Session Map Update",
   "zh": "LiDAR 多会话地图更新",
   "level": "l3"
  },
  "CAP_6f1a94ad": {
   "en": "Lifelong Map Maintenance Localization",
   "zh": "终身地图维护定位",
   "level": "l3"
  },
  "CAP_ead082ab": {
   "en": "Robot Task Aligned Feature Extraction",
   "zh": "机器人任务对齐特征提取",
   "level": "l3"
  },
  "CAP_d1128549": {
   "en": "Frozen Encoder Policy Attach",
   "zh": "冻结编码器接策略头",
   "level": "l3"
  },
  "CAP_70f2de17": {
   "en": "Frozen Encoder Policy Training",
   "zh": "冻结 Encoder 策略头训练",
   "level": "l3"
  },
  "CAP_d6a12af7": {
   "en": "Foundation Model VS Inference",
   "zh": "基础模型视觉伺服推理执行",
   "level": "l3"
  },
  "CAP_1c174f18": {
   "en": "Vision Language Backbone Semantic Extraction",
   "zh": "视觉语言骨干语义提取",
   "level": "l3"
  },
  "CAP_ad80a189": {
   "en": "CLIP Task Embedding Extraction",
   "zh": "CLIP 任务嵌入抽取",
   "level": "l3"
  },
  "CAP_a418a739": {
   "en": "Dual Stream Task Representation Learning",
   "zh": "双流任务表征学习",
   "level": "l3"
  },
  "CAP_9249ba37": {
   "en": "Language Conditioned Multitask BC",
   "zh": "语言条件多任务行为克隆",
   "level": "l3"
  },
  "CAP_859abf82": {
   "en": "Language Grounded Manipulation Representation Evaluation",
   "zh": "语言接地操作任务表征评测",
   "level": "l3"
  },
  "CAP_60646d2b": {
   "en": "Language Conditioned Imitation Policy",
   "zh": "语言条件模仿策略",
   "level": "l3"
  },
  "CAP_ffc985b6": {
   "en": "Self-Supervised Robot Representation",
   "zh": "自监督机器人表征",
   "level": "l1"
  },
  "CAP_43c8e560": {
   "en": "Vision Backbone for Robotics",
   "zh": "面向机器人的视觉骨干网络",
   "level": "l1"
  },
  "CAP_a0f342bf": {
   "en": "Robot Aligned Visual Backbone Extraction",
   "zh": "机器人对齐骨干提取",
   "level": "l3"
  },
  "CAP_979941e2": {
   "en": "Self-Supervised Experienced Cost Map Construction",
   "zh": "自监督经验代价地图构建",
   "level": "l3"
  },
  "CAP_12e275f7": {
   "en": "Frozen Tactile Encoder Downstream Attach",
   "zh": "冻结触觉编码器下游接入",
   "level": "l3"
  },
  "CAP_cc030103": {
   "en": "Cross-Modal Fusion",
   "zh": "跨模态融合",
   "level": "l3"
  },
  "CAP_cc030102": {
   "en": "Multimodal Feature Extraction",
   "zh": "多模态特征提取",
   "level": "l3"
  },
  "CAP_7762983b": {
   "en": "Cross Modal Touch Vision Prediction",
   "zh": "触觉视觉跨模态预测表征学习",
   "level": "l3"
  },
  "CAP_e72c2030": {
   "en": "Frozen Multimodal Embedding Extraction",
   "zh": "冻结多模态嵌入提取",
   "level": "l3"
  },
  "CAP_cc030201": {
   "en": "Visuo-Tactile Multimodal Acquisition",
   "zh": "视觉触觉多模态采集",
   "level": "l3"
  },
  "CAP_af661729": {
   "en": "Intrinsic Feature Importance",
   "zh": "内在特征重要性",
   "level": "l2"
  },
  "CAP_991fe375": {
   "en": "Tree Impurity Importance Readout",
   "zh": "树模型不纯度重要性读取",
   "level": "l3"
  },
  "CAP_ebd72d78": {
   "en": "Linear Coefficient Importance",
   "zh": "线性系数重要性",
   "level": "l3"
  },
  "CAP_1cca0e89": {
   "en": "Feature Importance Visualization",
   "zh": "特征重要性可视化",
   "level": "l3"
  },
  "CAP_2b687a32": {
   "en": "Threshold-based Feature Selection",
   "zh": "阈值特征选择",
   "level": "l3"
  },
  "CAP_c2acb6b2": {
   "en": "Permutation Feature Importance",
   "zh": "置换特征重要性",
   "level": "l2"
  },
  "CAP_32f59400": {
   "en": "Permutation Importance Computation",
   "zh": "置换重要性计算",
   "level": "l3"
  },
  "CAP_08b4a60a": {
   "en": "Importance Variance Estimation",
   "zh": "重要性方差估计",
   "level": "l3"
  },
  "CAP_11892b5e": {
   "en": "Correlated Feature Handling",
   "zh": "相关特征处理",
   "level": "l3"
  },
  "CAP_4b34ec4c": {
   "en": "Permutation Importance Visualization",
   "zh": "置换重要性可视化",
   "level": "l3"
  },
  "CAP_4d0d94e8": {
   "en": "DeepLIFT Attribution",
   "zh": "DeepLIFT归因",
   "level": "l3"
  },
  "CAP_283175c3": {
   "en": "SmoothGrad Attribution Denoising",
   "zh": "SmoothGrad归因去噪",
   "level": "l3"
  },
  "CAP_a771f9e1": {
   "en": "Gradient Attribution Visualization",
   "zh": "梯度归因可视化",
   "level": "l3"
  },
  "CAP_f4e24c7f": {
   "en": "TreeSHAP Exact Computation",
   "zh": "TreeSHAP精确计算",
   "level": "l3"
  },
  "CAP_c088b816": {
   "en": "KernelSHAP Approximation",
   "zh": "KernelSHAP近似计算",
   "level": "l3"
  },
  "CAP_837f4c12": {
   "en": "DeepSHAP GradientSHAP Computation",
   "zh": "DeepSHAP/GradientSHAP计算",
   "level": "l3"
  },
  "CAP_e454dc7e": {
   "en": "SHAP Additivity Verification",
   "zh": "SHAP加性验证",
   "level": "l3"
  },
  "CAP_12494a25": {
   "en": "SHAP Visualization",
   "zh": "SHAP可视化",
   "level": "l3"
  },
  "CAP_e5226f30": {
   "en": "SHAP Interaction Values",
   "zh": "SHAP交互值",
   "level": "l3"
  },
  "CAP_3b47c9fd": {
   "en": "Local Feature Matching",
   "zh": "局部特征匹配",
   "level": "l2"
  },
  "CAP_9c320adb": {
   "en": "LiDAR Scan-to-Map Matching",
   "zh": "激光扫描到地图匹配",
   "level": "l2"
  },
  "CAP_4f73ac0b": {
   "en": "Dense Feature Alignment Localization",
   "zh": "稠密特征对齐定位",
   "level": "l2"
  },
  "CAP_3b7e9d04": {
   "en": "Visual Topological Node Localization",
   "zh": "图像检索视觉拓扑节点定位",
   "level": "l3"
  },
  "CAP_c16b6244": {
   "en": "2D-3D Correspondence Establishment",
   "zh": "2D-3D对应建立",
   "level": "l3"
  },
  "CAP_dbd97ddb": {
   "en": "PnP+RANSAC Pose Estimation",
   "zh": "PnP+RANSAC位姿估计",
   "level": "l3"
  },
  "CAP_a9d069ef": {
   "en": "Feature Matching and Motion-Only BA",
   "zh": "特征匹配与运动束调整",
   "level": "l3"
  },
  "CAP_028e79f7": {
   "en": "Differentiable Pose Refinement",
   "zh": "可微位姿精化",
   "level": "l3"
  },
  "CAP_cb4942e1": {
   "en": "Factor Graph Streaming Map Construction",
   "zh": "因子图流式地图构建",
   "level": "l3"
  },
  "CAP_9d7f2e4c": {
   "en": "Dense Feature Extraction",
   "zh": "稠密特征提取",
   "level": "l3"
  },
  "CAP_ccec92ea": {
   "en": "Local Feature Extraction",
   "zh": "局部特征点提取",
   "level": "l3"
  },
  "CAP_d7dbb713": {
   "en": "SIFT Feature Detection and Description",
   "zh": "SIFT特征检测与描述",
   "level": "l3"
  },
  "CAP_e8911b00": {
   "en": "Sparse Feature Tracking Pipeline",
   "zh": "稀疏特征跟踪流水线",
   "level": "l3"
  },
  "CAP_9d0e7c31": {
   "en": "Feature Point Lifecycle Management",
   "zh": "特征点生命周期管理",
   "level": "l3"
  },
  "CAP_1ef59fe2": {
   "en": "Blob Corner Feature Extraction",
   "zh": "Blob角点特征提取",
   "level": "l3"
  },
  "CAP_3c1f0a21": {
   "en": "3D Geometric Keypoint Detection",
   "zh": "3D几何关键点检测",
   "level": "l3"
  },
  "CAP_3c1f0a43": {
   "en": "Learned 3D Descriptor Extraction",
   "zh": "学习型3D描述子提取",
   "level": "l3"
  },
  "CAP_3c1f0a40": {
   "en": "GeoTransformer Learned Registration",
   "zh": "GeoTransformer学习型配准",
   "level": "l3"
  },
  "CAP_08b00660": {
   "en": "Mahalanobis Density OOD Detection",
   "zh": "马氏距离特征空间密度OOD检测",
   "level": "l2"
  },
  "CAP_b85cf04e": {
   "en": "Input Perturbation Enhancement",
   "zh": "输入梯度扰动增强",
   "level": "l3"
  },
  "CAP_5874f6a7": {
   "en": "Multi-Layer Ensemble Scoring",
   "zh": "多层特征集成评分",
   "level": "l3"
  },
  "CAP_2c5321fe": {
   "en": "KNN Distance Scoring",
   "zh": "K近邻距离OOD评分",
   "level": "l3"
  },
  "CAP_7baaa834": {
   "en": "NNGuide Confidence Guided Scoring",
   "zh": "NNGuide近邻引导置信度评分",
   "level": "l3"
  },
  "CAP_5dae417b": {
   "en": "Flow Architecture Construction",
   "zh": "标准化流架构构建",
   "level": "l3"
  },
  "CAP_d81b1e62": {
   "en": "Log-Likelihood Density Scoring",
   "zh": "对数似然密度OOD评分",
   "level": "l3"
  },
  "CAP_5ca9f5c2": {
   "en": "Perturbation-Enhanced Scoring",
   "zh": "输入梯度扰动增强评分",
   "level": "l3"
  },
  "CAP_15808888": {
   "en": "Bucketing Feature Distribution",
   "zh": "Bucketing 特征均匀分布",
   "level": "l3"
  },
  "CAP_84b440dd": {
   "en": "Forward Backward Outlier Rejection",
   "zh": "前向-后向一致性外点剔除",
   "level": "l3"
  },
  "CAP_fd0d44fa": {
   "en": "Local DQN Private Policy Training",
   "zh": "本地 DQN 私有策略训练",
   "level": "l3"
  },
  "CAP_fc209e57": {
   "en": "Score-Level Knowledge Fusion Aggregation",
   "zh": "评分级知识融合聚合",
   "level": "l3"
  },
  "CAP_bb5cbd7d": {
   "en": "Lifelong Federated Model Transfer",
   "zh": "终生联邦模型迁移",
   "level": "l2"
  },
  "CAP_f25fda8d": {
   "en": "Initial Decision Model Transfer",
   "zh": "初始决策模型迁移",
   "level": "l3"
  },
  "CAP_21e28aa8": {
   "en": "Feature Extractor Transfer",
   "zh": "特征提取器迁移",
   "level": "l3"
  },
  "CAP_722dde39": {
   "en": "Federated VLA Adapter Fine-tuning Pipeline",
   "zh": "联邦 VLA 适配器微调管线",
   "level": "l2"
  },
  "CAP_f1e3f1d3": {
   "en": "VLA LoRA Adapter Local SFT",
   "zh": "VLA LoRA 适配器本地监督微调",
   "level": "l3"
  },
  "CAP_310a740a": {
   "en": "Federated LoRA Adapter Aggregation",
   "zh": "联邦 LoRA 适配器聚合",
   "level": "l3"
  },
  "CAP_c48d666f": {
   "en": "Federated VLA Knowledge Distillation Co-tuning",
   "zh": "联邦 VLA 知识蒸馏协同调优",
   "level": "l3"
  },
  "CAP_f61b31ad": {
   "en": "Nonlinear Effects Decoupled Feedforward",
   "zh": "非线性项解耦前馈计算",
   "level": "l3"
  },
  "CAP_428416e4": {
   "en": "Gravity Only Feedforward Law",
   "zh": "仅重力前馈律",
   "level": "l3"
  },
  "CAP_b8825907": {
   "en": "Vendor API Gravity Coriolis Acquisition",
   "zh": "厂商API重力Coriolis项获取",
   "level": "l3"
  },
  "CAP_7ca22774": {
   "en": "Residual Feedforward Composition",
   "zh": "残差前馈合成",
   "level": "l3"
  },
  "CAP_154ccaf4": {
   "en": "JerkLimitedTrajectorySmoothing",
   "zh": "Jerk限幅轨迹平滑",
   "level": "l3"
  },
  "CAP_2db9b20f": {
   "en": "Commercial FEM Soft Gripper Design and Validation",
   "zh": "商业 FEM 软体夹爪设计与验证",
   "level": "l2"
  },
  "CAP_7e000992": {
   "en": "FEM Pre-processing",
   "zh": "FEM 前处理",
   "level": "l3"
  },
  "CAP_4bc76d14": {
   "en": "Hyperelastic Constitutive Model Fitting",
   "zh": "超弹性本构模型拟合",
   "level": "l3"
  },
  "CAP_9d5a0a09": {
   "en": "FEM Meshing for Hyperelastic Materials",
   "zh": "超弹性材料 FEM 网格划分",
   "level": "l3"
  },
  "CAP_e9056b64": {
   "en": "FEM Boundary Conditions and Loading",
   "zh": "FEM 边界条件与载荷",
   "level": "l3"
  },
  "CAP_d4a0dc53": {
   "en": "FEM Nonlinear Solver",
   "zh": "FEM 非线性求解",
   "level": "l3"
  },
  "CAP_7f3a1c8e": {
   "en": "Explicit FEM Dynamics Solving",
   "zh": "显式 FEM 动力学求解",
   "level": "l3"
  },
  "CAP_0e0d26e3": {
   "en": "Submit Coupled SMA FEM Job",
   "zh": "提交耦合 SMA FEM 作业",
   "level": "l3"
  },
  "CAP_08810d8a": {
   "en": "FEM Post-processing and Validation",
   "zh": "FEM 后处理与验证",
   "level": "l3"
  },
  "CAP_47c3b512": {
   "en": "Differentiable FEM Simulation",
   "zh": "可微 FEM 仿真",
   "level": "l2"
  },
  "CAP_09b96dc9": {
   "en": "Differentiable FEM Mesh and Constitutive Setup",
   "zh": "可微 FEM 网格与本构设置",
   "level": "l3"
  },
  "CAP_301467cb": {
   "en": "Differentiable Contact Configuration",
   "zh": "可微接触配置",
   "level": "l3"
  },
  "CAP_dd5d0214": {
   "en": "Differentiable FEM Time Integration",
   "zh": "可微 FEM 时间积分",
   "level": "l3"
  },
  "CAP_7c19fa22": {
   "en": "Differentiable Contact Solving",
   "zh": "可微接触求解",
   "level": "l3"
  },
  "CAP_e735cba9": {
   "en": "SOFA FEM Soft Gripper Simulation",
   "zh": "SOFA FEM 软体夹爪仿真",
   "level": "l2"
  },
  "CAP_c9ca8581": {
   "en": "SOFA Tetrahedral Mesh Import and Scene Graph Setup",
   "zh": "SOFA 四面体网格导入与场景搭建",
   "level": "l3"
  },
  "CAP_f0d0d78d": {
   "en": "SOFA Hyperelastic FEM Material Setup",
   "zh": "SOFA 超弹性 FEM 材料定义",
   "level": "l3"
  },
  "CAP_dd615613": {
   "en": "SOFA Boundary Condition and Constraint Setup",
   "zh": "SOFA 边界条件与约束设置",
   "level": "l3"
  },
  "CAP_8726fa62": {
   "en": "Real-Time FEM Simulation with Cable Actuation",
   "zh": "腱驱动实时 FEM 仿真",
   "level": "l3"
  },
  "CAP_7dfc20c0": {
   "en": "SOFA Pneumatic Actuation Control",
   "zh": "SOFA 气动驱动控制",
   "level": "l3"
  },
  "CAP_b0bc89eb": {
   "en": "Real-Time FEM Forward Simulation",
   "zh": "实时 FEM 前向仿真",
   "level": "l3"
  },
  "CAP_21dc6d36": {
   "en": "FEM Thermal Preprocessing",
   "zh": "FEM 热分析前处理",
   "level": "l2"
  },
  "CAP_c64f8039": {
   "en": "FEM Function Space Definition",
   "zh": "FEM 函数空间定义",
   "level": "l3"
  },
  "CAP_dec326e0": {
   "en": "FEM Thermal Boundary Condition Setup",
   "zh": "FEM 热边界条件与初始条件施加",
   "level": "l3"
  },
  "CAP_c3f02d35": {
   "en": "FEM Thermal Solve and Post-process",
   "zh": "FEM 热分析求解与后处理",
   "level": "l2"
  },
  "CAP_54a610fb": {
   "en": "Steady Thermal Weak Form Assembly and Linear Solve",
   "zh": "稳态热传导弱形式组装与线性求解",
   "level": "l3"
  },
  "CAP_f799100b": {
   "en": "Thermal Field Post-processing and Heat Flux Extraction",
   "zh": "热场后处理与热流路径提取",
   "level": "l3"
  },
  "CAP_9a0a988f": {
   "en": "Transient Thermal Solve and Post-process",
   "zh": "瞬态热分析求解与后处理",
   "level": "l2"
  },
  "CAP_360e9ac3": {
   "en": "Transient Thermal Weak Form and Time Integration",
   "zh": "瞬态热传导弱形式与时间积分",
   "level": "l3"
  },
  "CAP_9bd0d98a": {
   "en": "Transient Thermal Time-Series Post-processing",
   "zh": "瞬态热分析时间序列后处理",
   "level": "l3"
  },
  "CAP_605721e9": {
   "en": "Contact Magnetic Field Sensing",
   "zh": "接触式磁场传感铁磁检测",
   "level": "l2"
  },
  "CAP_94fff3b6": {
   "en": "Magnetic Sensor Baseline Calibration",
   "zh": "磁敏传感器基线标定",
   "level": "l3"
  },
  "CAP_bcd0e7ad": {
   "en": "Magnetic Gripper Suitability Decision",
   "zh": "磁性夹爪适配性决策",
   "level": "l3"
  },
  "CAP_253c1cb7": {
   "en": "Eddy Current Inductive Sorting",
   "zh": "涡流电磁感应金属分选",
   "level": "l2"
  },
  "CAP_0d473596": {
   "en": "Eddy Current Coil Excitation",
   "zh": "涡流线圈交变激励",
   "level": "l3"
  },
  "CAP_b529ed4b": {
   "en": "Coil Complex Impedance Measurement",
   "zh": "线圈复阻抗测量",
   "level": "l3"
  },
  "CAP_c5fca904": {
   "en": "Impedance Plane Material Classification",
   "zh": "阻抗平面材料分类",
   "level": "l3"
  },
  "CAP_6c754570": {
   "en": "Eddy Current Sensor Approach Control",
   "zh": "涡流传感器接近控制",
   "level": "l3"
  },
  "CAP_a6538f46": {
   "en": "Vision-Based Material Pre-Screening",
   "zh": "视觉材料预筛",
   "level": "l2"
  },
  "CAP_aa9044f0": {
   "en": "Deep TEN Material Inference",
   "zh": "Deep TEN 材质推理",
   "level": "l3"
  },
  "CAP_c87af1f9": {
   "en": "Metal Candidate Screening",
   "zh": "金属候选筛选",
   "level": "l3"
  },
  "CAP_05d611e9": {
   "en": "Ferromagnetic Pre-Screening Decision",
   "zh": "铁磁预筛决策",
   "level": "l3"
  },
  "CAP_1bbaa77a": {
   "en": "Feudal Q-Learning Control",
   "zh": "封建 Q 学习控制",
   "level": "l2"
  },
  "CAP_640c14bd": {
   "en": "Feudal Manager Subgoal Selection",
   "zh": "封建管理者子目标选择",
   "level": "l3"
  },
  "CAP_0fbcab9e": {
   "en": "Multi-Grid State Decomposition",
   "zh": "多级网格状态分解",
   "level": "l3"
  },
  "CAP_484db53e": {
   "en": "Feudal Reward Hiding Q-Update",
   "zh": "封建奖励隐藏 Q 更新",
   "level": "l3"
  },
  "CAP_9416c3de": {
   "en": "Tabular Q-Learning Update",
   "zh": "表格 Q 学习更新",
   "level": "l3"
  },
  "CAP_eddbbe75": {
   "en": "Grid Maze Environment",
   "zh": "网格迷宫环境",
   "level": "l3"
  },
  "CAP_71e7fdfd": {
   "en": "FeUdal Networks Manager-Worker Control",
   "zh": "FeUdal 网络管理者-工作者控制",
   "level": "l2"
  },
  "CAP_3e70022c": {
   "en": "Dilated LSTM Manager Goal Generation",
   "zh": "膨胀 LSTM 管理者目标生成",
   "level": "l3"
  },
  "CAP_a0e31ff3": {
   "en": "Transition Policy Gradient",
   "zh": "转移策略梯度",
   "level": "l3"
  },
  "CAP_52356bf4": {
   "en": "A3C Worker Training",
   "zh": "A3C 工作者训练",
   "level": "l3"
  },
  "CAP_c1bc92d0": {
   "en": "STRAW Plan-Commitment Control",
   "zh": "STRAW 计划承诺控制",
   "level": "l2"
  },
  "CAP_987ba480": {
   "en": "Action-Plan Attentive Writing",
   "zh": "动作计划注意力写入",
   "level": "l3"
  },
  "CAP_d411c5d3": {
   "en": "Commitment-Plan Gating",
   "zh": "承诺计划门控",
   "level": "l3"
  },
  "CAP_e41cca26": {
   "en": "STRAWe Structured Exploration",
   "zh": "STRAWe 结构化探索",
   "level": "l3"
  },
  "CAP_828b53bf": {
   "en": "A3C Value-Plan Training",
   "zh": "A3C 值计划训练",
   "level": "l3"
  },
  "CAP_a05cdae4": {
   "en": "GridMazeEnvDefinition",
   "zh": "网格迷宫环境定义",
   "level": "l3"
  },
  "CAP_068d0d86": {
   "en": "Temporal Alignment Few-Shot Recognition",
   "zh": "有序时序对齐少样本动作识别",
   "level": "l2"
  },
  "CAP_68ca9b71": {
   "en": "ResNet50 Image Feature Extraction",
   "zh": "ResNet50 图像特征提取",
   "level": "l3"
  },
  "CAP_a918c8fb": {
   "en": "Frame-level Cosine Distance Matrix",
   "zh": "帧级余弦距离矩阵",
   "level": "l3"
  },
  "CAP_ff55f5b3": {
   "en": "Few-shot Alignment Classification",
   "zh": "少样本对齐分类",
   "level": "l3"
  },
  "CAP_9ec23b4c": {
   "en": "Episodic Meta-training",
   "zh": "Episodic 元训练",
   "level": "l3"
  },
  "CAP_acc4f0f7": {
   "en": "Cross-Transformer Subsequence Prototype Metric Learning",
   "zh": "跨变换器子序列原型度量学习",
   "level": "l2"
  },
  "CAP_9abfdcfd": {
   "en": "Patch-Level Spatial Enrichment",
   "zh": "Patch 级空间增强",
   "level": "l3"
  },
  "CAP_a7f09aeb": {
   "en": "Frame-Level Temporal Enrichment",
   "zh": "帧级时序增强",
   "level": "l3"
  },
  "CAP_cf7e4db7": {
   "en": "Multi-base Subsequence Construction",
   "zh": "多基数子序列构造",
   "level": "l3"
  },
  "CAP_7b9efa95": {
   "en": "CrossTransformer Query-Specific Prototype",
   "zh": "跨变换器查询特异性原型",
   "level": "l3"
  },
  "CAP_ec2dc0d0": {
   "en": "Subsequence Distance Aggregation",
   "zh": "子序列距离聚合",
   "level": "l3"
  },
  "CAP_9f277bcb": {
   "en": "Query-Class Similarity Classification",
   "zh": "查询类相似性分类",
   "level": "l3"
  },
  "CAP_e7c2cf9b": {
   "en": "MAML Bi-level Optimization Few-Shot Adaptation",
   "zh": "MAML 双层优化少样本适应",
   "level": "l2"
  },
  "CAP_2d7d0575": {
   "en": "Episodic Video Task Sampling",
   "zh": "Episodic 视频任务采样",
   "level": "l3"
  },
  "CAP_354f1454": {
   "en": "Inner Loop Video Classifier Adaptation",
   "zh": "内循环视频分类器适应",
   "level": "l3"
  },
  "CAP_bf67e582": {
   "en": "Video Classifier Prediction",
   "zh": "视频分类器预测",
   "level": "l3"
  },
  "CAP_b8df21fc": {
   "en": "Pretrained VLM Prompt/Adapter Few-Shot Adaptation",
   "zh": "预训练 VLM 提示/适配器少样本适应",
   "level": "l2"
  },
  "CAP_a7d28941": {
   "en": "CLIP Visual Frame Feature Extraction",
   "zh": "CLIP 视觉帧特征提取",
   "level": "l3"
  },
  "CAP_0b4d24d0": {
   "en": "Visual Temporal Adapter",
   "zh": "视觉时序适配器",
   "level": "l3"
  },
  "CAP_2127c1bf": {
   "en": "Textual Action Prompt Construction",
   "zh": "文本动作提示构建",
   "level": "l3"
  },
  "CAP_f38708b9": {
   "en": "VLM Few-shot Action Classification",
   "zh": "VLM 少样本动作分类",
   "level": "l3"
  },
  "CAP_4c530359": {
   "en": "Meta-RL Context Collection",
   "zh": "元 RL 上下文采集",
   "level": "l3"
  },
  "CAP_0b8a65a7": {
   "en": "Posterior Sampling Exploration",
   "zh": "后验采样探索",
   "level": "l3"
  },
  "CAP_ae2bddad": {
   "en": "Few-Shot Task Adaptation",
   "zh": "少样本任务适应",
   "level": "l3"
  },
  "CAP_e28c4b7ef1": {
   "en": "NDF Dense 3D Correspondence Transfer",
   "zh": "NDF密集3D对应技能迁移",
   "level": "l2"
  },
  "CAP_cf64f69e64": {
   "en": "NDF Descriptor Field Encoding",
   "zh": "NDF描述符场编码",
   "level": "l3"
  },
  "CAP_2d40c1d58c": {
   "en": "NDF Pose Descriptor Encoding",
   "zh": "NDF姿态描述符编码",
   "level": "l3"
  },
  "CAP_f2d2991fe1": {
   "en": "NDF Energy Optimization Pose Search",
   "zh": "NDF能量优化姿态搜索",
   "level": "l3"
  },
  "CAP_f7e29ddc": {
   "en": "Grasp Pose Transfer",
   "zh": "抓取位姿迁移",
   "level": "l3"
  },
  "CAP_9805ef96e5": {
   "en": "Visual Affordance Transfer via Semantic Correspondence",
   "zh": "视觉可供性语义迁移",
   "level": "l2"
  },
  "CAP_7d16456ca0": {
   "en": "Semantic Correspondence Mapping",
   "zh": "语义对应映射",
   "level": "l3"
  },
  "CAP_3f8a91c2": {
   "en": "Bimanual Action Learning Network Training",
   "zh": "双臂动作学习网络训练",
   "level": "l3"
  },
  "CAP_5d2e7b4a": {
   "en": "Few-Shot Contact Point Adaptation",
   "zh": "少样本接触点适应",
   "level": "l3"
  },
  "CAP_4a323de0": {
   "en": "Few-Shot Adaptation and Deployment",
   "zh": "少样本适应与部署",
   "level": "l2"
  },
  "CAP_c5b378e2": {
   "en": "Policy Network Initialization",
   "zh": "策略网络初始化",
   "level": "l3"
  },
  "CAP_76420651": {
   "en": "Few-Shot Embedding Inference and Deployment",
   "zh": "少样本嵌入推理与部署",
   "level": "l2"
  },
  "CAP_cf23cd6f": {
   "en": "Few-Shot Embedding Demonstration Collection",
   "zh": "少样本嵌入演示采集",
   "level": "l3"
  },
  "CAP_7c2e4fb0": {
   "en": "Finetune Demonstration Collection",
   "zh": "微调演示采集",
   "level": "l3"
  },
  "CAP_f1440fdb": {
   "en": "Multimodal Prompt In-Context Generalist Policy",
   "zh": "多模态提示上下文通用策略",
   "level": "l3"
  },
  "CAP_a8a67a01": {
   "en": "Alternating Optimization for In-Hand Regrasp",
   "zh": "手内重抓交替优化",
   "level": "l2"
  },
  "CAP_d4d2c46e": {
   "en": "Ferrari-Canny Grasp Quality Evaluation",
   "zh": "Ferrari-Canny 抓取质量评估",
   "level": "l3"
  },
  "CAP_b0cd5e0b": {
   "en": "Reachable Workspace Computation",
   "zh": "可达工作空间计算",
   "level": "l3"
  },
  "CAP_116a66e0": {
   "en": "Finger Gait Planning",
   "zh": "手指步态规划",
   "level": "l3"
  },
  "CAP_40cfad96": {
   "en": "In-Grasp Manipulation Planning",
   "zh": "手内操作规划",
   "level": "l3"
  },
  "CAP_9a461f0c": {
   "en": "Learning-Based Dexterous In-Hand Rotation",
   "zh": "学习型灵巧手内旋转",
   "level": "l2"
  },
  "CAP_3f53243a": {
   "en": "Simulation Environment Construction for Finger Gaiting RL",
   "zh": "手指步进 RL 仿真环境构建",
   "level": "l3"
  },
  "CAP_64591af0": {
   "en": "Finger Gaiting MDP Design",
   "zh": "手指步进 MDP 设计",
   "level": "l3"
  },
  "CAP_37f298a0": {
   "en": "Initial State Distribution for Finger Gaiting Exploration",
   "zh": "手指步进初始状态分布与探索课程",
   "level": "l3"
  },
  "CAP_8ce76049": {
   "en": "Multi-Modal Planning with Compliance-Enabled Finger Gaiting",
   "zh": "多模态规划柔顺手指步进",
   "level": "l2"
  },
  "CAP_6f789f9e": {
   "en": "Compliant Underactuated Hand Manipulation Setup",
   "zh": "柔顺欠驱动手操作配置",
   "level": "l3"
  },
  "CAP_544a2243": {
   "en": "6D Object Pose Tracking for Manipulation Feedback",
   "zh": "操作反馈 6D 物体位姿跟踪",
   "level": "l3"
  },
  "CAP_a5d7e13e": {
   "en": "Multi-Modal Contact Mode Planning",
   "zh": "多模态接触模式规划",
   "level": "l3"
  },
  "CAP_e6b0fd3a": {
   "en": "Compliance-Enabled Safe Mode Transition",
   "zh": "柔顺使能安全模式切换",
   "level": "l3"
  },
  "CAP_4e4a56f6": {
   "en": "SO(3) Reorientation via Orthogonal Rotations",
   "zh": "SO(3) 正交旋转重定向",
   "level": "l3"
  },
  "CAP_d4e07b8f": {
   "en": "Geometric Contact-Graph Planning",
   "zh": "几何接触图规划",
   "level": "l2"
  },
  "CAP_788b5c5a": {
   "en": "Contact Point Candidate Generation",
   "zh": "接触点候选集生成",
   "level": "l3"
  },
  "CAP_f6407a15": {
   "en": "Contact Formation Enumeration",
   "zh": "接触构形枚举",
   "level": "l3"
  },
  "CAP_312e6304": {
   "en": "Form Closure Test",
   "zh": "形式封闭判定",
   "level": "l3"
  },
  "CAP_60889521": {
   "en": "Contact State Graph Construction",
   "zh": "接触状态图构建",
   "level": "l3"
  },
  "CAP_ea64a99b": {
   "en": "Quasi-static Transition Validation",
   "zh": "准静态转移验证",
   "level": "l3"
  },
  "CAP_c681f379": {
   "en": "Joint Trajectory Generation",
   "zh": "关节轨迹生成",
   "level": "l3"
  },
  "CAP_c30030b8": {
   "en": "Stochastic Sampling-Based Gait Search",
   "zh": "随机采样搜索式手指步态规划",
   "level": "l2"
  },
  "CAP_e69d5142": {
   "en": "Contact Configuration Space Sampling",
   "zh": "接触配置空间采样",
   "level": "l3"
  },
  "CAP_29d8367d": {
   "en": "Stochastic Trajectory Generation",
   "zh": "随机轨迹生成",
   "level": "l3"
  },
  "CAP_5a374f80": {
   "en": "Trajectory Cost Evaluation",
   "zh": "轨迹代价评估",
   "level": "l3"
  },
  "CAP_2b4485ed": {
   "en": "Elite Selection & Distribution Update",
   "zh": "精英筛选与分布更新",
   "level": "l3"
  },
  "CAP_d58e58dc": {
   "en": "Quasi-static Stability Validation",
   "zh": "准静态稳定性验证",
   "level": "l3"
  },
  "CAP_4681eaf1": {
   "en": "Contact Complementarity Formulation",
   "zh": "接触互补约束建模",
   "level": "l3"
  },
  "CAP_a6dd9e1d": {
   "en": "Contact Sequence Extraction",
   "zh": "接触序列提取",
   "level": "l3"
  },
  "CAP_880ea920": {
   "en": "Joint Trajectory Output",
   "zh": "关节轨迹输出",
   "level": "l3"
  },
  "CAP_25793ee6": {
   "en": "Learning-Based Finger Gait Policy",
   "zh": "学习型手指步态策略",
   "level": "l2"
  },
  "CAP_984f0ea0": {
   "en": "In-Hand Rotation Reward Design",
   "zh": "手内旋转奖励函数设计",
   "level": "l3"
  },
  "CAP_26e8f991": {
   "en": "Rapid Motor Adaptation Module Training",
   "zh": "本体感受历史适应模块训练",
   "level": "l3"
  },
  "CAP_df25a213": {
   "en": "Vision-based Object Pose Estimation",
   "zh": "视觉物体位姿估计",
   "level": "l3"
  },
  "CAP_479646bd": {
   "en": "Dual-Phase Interaction-Aware Diffusion Process",
   "zh": "双相交互感知扩散过程",
   "level": "l3"
  },
  "CAP_12ad600b": {
   "en": "LLM-guided Guidance Function Generation",
   "zh": "LLM 引导函数自动生成",
   "level": "l3"
  },
  "CAP_4b1592e4": {
   "en": "Contact-Rich Reorientation Execution",
   "zh": "接触丰富重定向执行",
   "level": "l3"
  },
  "CAP_d73a659e": {
   "en": "Collision-Free Trajectory Generation",
   "zh": "无碰撞轨迹生成",
   "level": "l3"
  },
  "CAP_515fdade": {
   "en": "Triangle Shell FEM Cloth ForceField Setup",
   "zh": "三角壳单元 FEM 布料力场配置",
   "level": "l3"
  },
  "CAP_26922a2d": {
   "en": "Cloth Bending Energy ForceField Setup",
   "zh": "布料弯曲能量力场配置",
   "level": "l3"
  },
  "CAP_c3ff11b5": {
   "en": "Implicit Backward Euler Cloth Time Integration",
   "zh": "布料隐式后向 Euler 时间积分",
   "level": "l3"
  },
  "CAP_3b531e8e": {
   "en": "Adaptive Anisotropic Remeshing For Cloth",
   "zh": "布料自适应各向异性重网格",
   "level": "l3"
  },
  "CAP_6bdc0ec9": {
   "en": "Strain Limiting Nonlinear Optimization",
   "zh": "应变限制非线性优化求解",
   "level": "l3"
  },
  "CAP_1af72808": {
   "en": "Cloth Bending Plasticity With Embedding Space",
   "zh": "布料弯曲塑性与嵌入空间表示",
   "level": "l3"
  },
  "CAP_58b603f0": {
   "en": "Data-Driven Elastic Cloth Material Assignment",
   "zh": "数据驱动弹性布料材质配置",
   "level": "l3"
  },
  "CAP_3934065d": {
   "en": "Projective Dynamics Local-Global Solver",
   "zh": "Projective Dynamics 局部-全局求解器",
   "level": "l3"
  },
  "CAP_d524ae7e": {
   "en": "Stable Neo-Hookean Energy Formulation",
   "zh": "稳定 Neo-Hookean 能量公式化",
   "level": "l3"
  },
  "CAP_bbc6ed0f": {
   "en": "PD Constraint Projection Local Step",
   "zh": "PD 约束投影局部步",
   "level": "l3"
  },
  "CAP_7abe459e": {
   "en": "PD Global Step Precomputed System Assembly",
   "zh": "PD 全局步预计算系统组装",
   "level": "l3"
  },
  "CAP_c5ae9f0c": {
   "en": "IPC Adaptive Barrier Stiffness Update",
   "zh": "IPC 自适应势垒刚度更新",
   "level": "l3"
  },
  "CAP_5baddea4": {
   "en": "FSM State Definition",
   "zh": "FSM状态定义",
   "level": "l3"
  },
  "CAP_fa26e5ce": {
   "en": "FSM Transition Table Configuration",
   "zh": "FSM转移表配置",
   "level": "l3"
  },
  "CAP_92c6b72f": {
   "en": "FSM Userdata Passing",
   "zh": "FSM userdata透传",
   "level": "l3"
  },
  "CAP_e856e612": {
   "en": "FSM ROS Action Service Bridge",
   "zh": "FSM ROS动作服务桥接",
   "level": "l3"
  },
  "CAP_6691a6ed": {
   "en": "FSM Concurrent State Execution",
   "zh": "FSM并发状态执行",
   "level": "l3"
  },
  "CAP_dc269d37": {
   "en": "FSM Execution and Introspection",
   "zh": "FSM执行与可视化内省",
   "level": "l3"
  },
  "CAP_2895a7f1": {
   "en": "HFSM Concurrency Composition",
   "zh": "HFSM并发状态组合",
   "level": "l3"
  },
  "CAP_5ccfba8a": {
   "en": "HFSM State Reuse Interface",
   "zh": "HFSM状态复用接口",
   "level": "l3"
  },
  "CAP_d13d22ef": {
   "en": "HFSM Userdata Scoping",
   "zh": "HFSM userdata作用域管理",
   "level": "l3"
  },
  "CAP_45437841": {
   "en": "Driving Scenario Dispatch",
   "zh": "驾驶场景分发与切换",
   "level": "l3"
  },
  "CAP_f4ff0da7": {
   "en": "Scenario Stage Dual FSM",
   "zh": "Scenario-Stage双层FSM",
   "level": "l3"
  },
  "CAP_7000c03e": {
   "en": "Scenario Task Tree Execution",
   "zh": "场景Task树执行",
   "level": "l3"
  },
  "CAP_0b8d5426": {
   "en": "Scenario Task Plugin Registration",
   "zh": "场景Task插件注册",
   "level": "l3"
  },
  "CAP_e2c6b0b2": {
   "en": "AFSM Event-Driven Transition",
   "zh": "AFSM事件驱动转移",
   "level": "l3"
  },
  "CAP_58c28115": {
   "en": "Finite State Machine Reset",
   "zh": "FSM复位机制",
   "level": "l3"
  },
  "CAP_5ffc826c": {
   "en": "AFSM Side-Effect Actuator Output",
   "zh": "AFSM side-effect执行器输出",
   "level": "l3"
  },
  "CAP_1a3d9d02": {
   "en": "AFSM Suppression and Inhibition",
   "zh": "AFSM抑制与禁止接线",
   "level": "l3"
  },
  "CAP_f9c65e3c": {
   "en": "Reactive Control Tick Execution",
   "zh": "反应式控制tick执行",
   "level": "l3"
  },
  "CAP_7cdad49f": {
   "en": "Reactive Behavior",
   "zh": "反应式行为",
   "level": "l3"
  },
  "CAP_b49a618f": {
   "en": "Goal-Directed Reactive Control",
   "zh": "目标导向反应式控制",
   "level": "l3"
  },
  "CAP_401d57c5": {
   "en": "Nonsmooth Sign-Function Finite-Time Consensus",
   "zh": "非光滑符号函数有限时间共识",
   "level": "l2"
  },
  "CAP_ff6ce336": {
   "en": "Finite-Time Consensus Graph Construction",
   "zh": "有限时间共识通信图构建",
   "level": "l3"
  },
  "CAP_fa0e73c9": {
   "en": "Nonsmooth Protocol Parameter Design",
   "zh": "非光滑协议幂次与增益设计",
   "level": "l3"
  },
  "CAP_40193841": {
   "en": "Finite-Time Consensus State Initialization",
   "zh": "有限时间共识状态初始化",
   "level": "l3"
  },
  "CAP_1deeaee1": {
   "en": "Sign-Power Function Control Law",
   "zh": "sig幂次符号函数控制律计算",
   "level": "l3"
  },
  "CAP_72e37a7a": {
   "en": "Finite-Time Convergence Verification",
   "zh": "有限时间收敛判定",
   "level": "l3"
  },
  "CAP_8cda6977": {
   "en": "Terminal Sliding Mode Finite-Time Consensus",
   "zh": "终端滑模有限时间共识",
   "level": "l2"
  },
  "CAP_b622e196": {
   "en": "TSM Graph Construction",
   "zh": "终端滑模共识通信图构建",
   "level": "l3"
  },
  "CAP_c93b1445": {
   "en": "NTSM Surface Design",
   "zh": "非奇异终端滑模面设计",
   "level": "l3"
  },
  "CAP_c9879ee4": {
   "en": "Disturbance Bound Estimation",
   "zh": "扰动界估计与自适应增益",
   "level": "l3"
  },
  "CAP_b48189b4": {
   "en": "Dual-State Initialization",
   "zh": "位置-速度双状态初始化",
   "level": "l3"
  },
  "CAP_2374203a": {
   "en": "SMC Equivalent-Switching Control Law",
   "zh": "终端滑模等效+切换控制律计算",
   "level": "l3"
  },
  "CAP_4db911d2": {
   "en": "Dual-State Finite-Time Convergence",
   "zh": "位置-速度双状态有限时间收敛判定",
   "level": "l3"
  },
  "CAP_484a9167": {
   "en": "Fixed-Time Consensus",
   "zh": "固定时间共识",
   "level": "l2"
  },
  "CAP_2dd4e3c6": {
   "en": "Dual-Power Protocol Design",
   "zh": "双幂次协议参数设计",
   "level": "l3"
  },
  "CAP_045566ab": {
   "en": "Fixed-Time Bound Computation",
   "zh": "固定时间收敛上界计算",
   "level": "l3"
  },
  "CAP_11a6e31d": {
   "en": "Fixed-Time State Initialization",
   "zh": "固定时间共识状态初始化",
   "level": "l3"
  },
  "CAP_110fffbc": {
   "en": "Dual-Power Control Law",
   "zh": "双幂次控制输入计算",
   "level": "l3"
  },
  "CAP_aff3a853": {
   "en": "Fixed-Time Convergence Verification",
   "zh": "固定时间收敛验证",
   "level": "l3"
  },
  "CAP_d10d61ad": {
   "en": "imgtool Keypair Generation",
   "zh": "imgtool密钥对生成",
   "level": "l3"
  },
  "CAP_762c67a2": {
   "en": "Public Key Embedding and Root of Trust Provisioning",
   "zh": "公钥嵌入与信任根部署",
   "level": "l3"
  },
  "CAP_886c3d45": {
   "en": "Image Hash, Signature, and TLV Generation",
   "zh": "镜像哈希、签名与TLV生成",
   "level": "l3"
  },
  "CAP_c99caf47": {
   "en": "bootutil Image Validation",
   "zh": "bootutil镜像验证",
   "level": "l3"
  },
  "CAP_30d46686": {
   "en": "Image Hash and Signature TLV Generation",
   "zh": "镜像哈希与签名 TLV 生成",
   "level": "l3"
  },
  "CAP_9b3792ed": {
   "en": "Public Key Embedding and Hardware RoT Provisioning",
   "zh": "公钥植入与硬件信任根配置",
   "level": "l3"
  },
  "CAP_bba979fb": {
   "en": "Measured Boot Record Generation",
   "zh": "度量启动记录生成",
   "level": "l3"
  },
  "CAP_c0a20ad8": {
   "en": "Key Generation and Public Key Embedding",
   "zh": "密钥生成与公钥嵌入",
   "level": "l2"
  },
  "CAP_36ce8803": {
   "en": "Key Generation",
   "zh": "密钥生成",
   "level": "l3"
  },
  "CAP_293f5ce7": {
   "en": "Public Key Embedding",
   "zh": "公钥嵌入",
   "level": "l3"
  },
  "CAP_48abd51c": {
   "en": "Image Signing and TLV Packaging",
   "zh": "镜像签名与TLV封装",
   "level": "l2"
  },
  "CAP_b2c5d19c": {
   "en": "Image Signing",
   "zh": "镜像签名",
   "level": "l3"
  },
  "CAP_7880c1fb": {
   "en": "TLV Packaging",
   "zh": "TLV封装",
   "level": "l3"
  },
  "CAP_79d0143b": {
   "en": "Bootloader Image Validation and Secure Boot",
   "zh": "Bootloader验签与安全启动",
   "level": "l2"
  },
  "CAP_71971346": {
   "en": "Application Boot",
   "zh": "应用启动",
   "level": "l3"
  },
  "CAP_84cfd2a9": {
   "en": "FIT Image Creation and Deployment",
   "zh": "FIT 镜像创建与部署",
   "level": "l3"
  },
  "CAP_9bf26d4f": {
   "en": "ITS Compilation",
   "zh": "ITS 编译",
   "level": "l3"
  },
  "CAP_27b2c4b0": {
   "en": "FIT Deployment",
   "zh": "FIT 部署",
   "level": "l3"
  },
  "CAP_f42c6960": {
   "en": "FIT Configuration Signing and Verification",
   "zh": "FIT 配置签名与验证",
   "level": "l3"
  },
  "CAP_3950c121": {
   "en": "Signature Verification (FIT)",
   "zh": "签名验证（FIT）",
   "level": "l3"
  },
  "CAP_46552485": {
   "en": "U-Boot Bootm and Kernel Launch",
   "zh": "U-Boot 启动与内核加载",
   "level": "l3"
  },
  "CAP_72413023": {
   "en": "Configuration Selection",
   "zh": "配置选择",
   "level": "l3"
  },
  "CAP_e9978220": {
   "en": "Kernel Boot",
   "zh": "内核启动",
   "level": "l3"
  },
  "CAP_b2d12808": {
   "en": "mkimage FIT Image Signing",
   "zh": "mkimage FIT 镜像签名",
   "level": "l3"
  },
  "CAP_f42f85ee": {
   "en": "RAUC Keyring Deployment and Certificate Chain Verification",
   "zh": "RAUC 密钥环部署与证书链验证",
   "level": "l3"
  },
  "CAP_70ea5db5": {
   "en": "X.509 Keyring and Certificate Chain Verification",
   "zh": "x.509 keyring 证书链验证",
   "level": "l3"
  },
  "CAP_bd8200d5": {
   "en": "Model-Based Trajectory Tracking Control",
   "zh": "基于模型的轨迹跟踪控制",
   "level": "l2"
  },
  "CAP_140a4e55": {
   "en": "Underwater Vehicle Dynamics Modeling",
   "zh": "水下航行器动力学建模",
   "level": "l2"
  },
  "CAP_68a199f2": {
   "en": "Fossen Dynamics Parameterization",
   "zh": "Fossen动力学参数化",
   "level": "l3"
  },
  "CAP_68bcb4fc": {
   "en": "Hydrodynamic Nonlinear Terms Computation",
   "zh": "水动力非线性项在线计算",
   "level": "l3"
  },
  "CAP_c9f1a22b": {
   "en": "Underwater Sim Environment Setup",
   "zh": "水下仿真环境配置",
   "level": "l3"
  },
  "CAP_40937b3a": {
   "en": "Gazebo Physics Simulation",
   "zh": "Gazebo物理仿真",
   "level": "l3"
  },
  "CAP_8c30bf12": {
   "en": "Hydraulic Soft Tail Actuation",
   "zh": "软液压双腔尾鳍驱动",
   "level": "l3"
  },
  "CAP_f79fc9e8": {
   "en": "Soft Fish Buoyancy-Fin Pitch 3D Swimming Control",
   "zh": "软鱼浮力-侧鳍俯仰三维游动控制",
   "level": "l3"
  },
  "CAP_f7c0d696": {
   "en": "Underwater Ultrasonic Remote Control",
   "zh": "水下超声波遥控链路",
   "level": "l3"
  },
  "CAP_f635bf91": {
   "en": "PneuNet Silicone Fabrication",
   "zh": "PneuNet 硅橡胶制造",
   "level": "l3"
  },
  "CAP_cd397602": {
   "en": "Slender Soft Body Dynamics and Interaction",
   "zh": "细长软体动力学与交互",
   "level": "l3"
  },
  "CAP_07df06de": {
   "en": "Gymnasium Soft Robot Environment",
   "zh": "软体机器人 Gymnasium 环境",
   "level": "l3"
  },
  "CAP_8a521378": {
   "en": "Buoyancy Engine Control",
   "zh": "浮力引擎驱动控制",
   "level": "l3"
  },
  "CAP_2135eb68": {
   "en": "Buoyancy Feedforward Compensation",
   "zh": "浮力前馈补偿",
   "level": "l3"
  },
  "CAP_f9a3dce9": {
   "en": "CPG Parameter Optimization",
   "zh": "CPG参数优化",
   "level": "l3"
  },
  "CAP_ff6c862a": {
   "en": "Fixed Timestep Accumulator Loop",
   "zh": "固定步长累加器主循环",
   "level": "l2"
  },
  "CAP_7df8eea5": {
   "en": "Render State Interpolation",
   "zh": "渲染状态插值",
   "level": "l3"
  },
  "CAP_a8b339db": {
   "en": "High-Precision Frame Time Measurement",
   "zh": "高精度帧时间测量",
   "level": "l3"
  },
  "CAP_93ae16ee": {
   "en": "Frame Time Clamping",
   "zh": "帧时间钳位",
   "level": "l3"
  },
  "CAP_82ae3792": {
   "en": "Physics State Snapshot for Interpolation",
   "zh": "物理状态插值备份",
   "level": "l3"
  },
  "CAP_12a1ed79": {
   "en": "Accumulator Time Accumulation",
   "zh": "累加器时间累加",
   "level": "l3"
  },
  "CAP_a404ec19": {
   "en": "Fixed-Step Loop Guard",
   "zh": "固定步长循环守卫",
   "level": "l3"
  },
  "CAP_0da96fdd": {
   "en": "Timestep Consumption",
   "zh": "时间步消费",
   "level": "l3"
  },
  "CAP_92cb09a5": {
   "en": "Substep Cap Enforcement",
   "zh": "子步上限强制",
   "level": "l3"
  },
  "CAP_5c8e4b8c": {
   "en": "Articulated Body Numerical Integration Step",
   "zh": "铰接体数值积分步进",
   "level": "l2"
  },
  "CAP_a94282de": {
   "en": "Substep Constraint Solving Loop",
   "zh": "子步约束求解循环",
   "level": "l2"
  },
  "CAP_cf847455": {
   "en": "Force and Torque Accumulation",
   "zh": "力与力矩累加",
   "level": "l3"
  },
  "CAP_53d2f574": {
   "en": "Semi-Implicit Euler Velocity Integration",
   "zh": "半隐式欧拉速度积分",
   "level": "l3"
  },
  "CAP_53e97c64": {
   "en": "Linear and Angular Damping Application",
   "zh": "线性与角阻尼施加",
   "level": "l3"
  },
  "CAP_aed2b2c8": {
   "en": "Position and Orientation Integration",
   "zh": "位置与姿态积分",
   "level": "l3"
  },
  "CAP_7dc08ef9": {
   "en": "Integrator Selection",
   "zh": "积分器类型选择",
   "level": "l3"
  },
  "CAP_fcbdde5b": {
   "en": "Substepping Control",
   "zh": "子步进控制",
   "level": "l3"
  },
  "CAP_0a5d843b": {
   "en": "Sequential Impulse Constraint Solving",
   "zh": "顺序冲量约束求解（PGS 迭代）",
   "level": "l3"
  },
  "CAP_dcaec5bb": {
   "en": "Broadphase Collision Detection",
   "zh": "宽相碰撞检测",
   "level": "l3"
  },
  "CAP_5f40c1b1": {
   "en": "Island Division",
   "zh": "岛划分",
   "level": "l3"
  },
  "CAP_40e0fc0f": {
   "en": "Jacobian and Effective Mass",
   "zh": "约束雅可比与有效质量",
   "level": "l3"
  },
  "CAP_1345b721": {
   "en": "Constraint Solver Selection",
   "zh": "约束求解器选择",
   "level": "l3"
  },
  "CAP_23b67988": {
   "en": "Impulse Application",
   "zh": "冲量施加",
   "level": "l3"
  },
  "CAP_2ba53fe3": {
   "en": "CCD Enable Check",
   "zh": "连续碰撞检测使能判断",
   "level": "l3"
  },
  "CAP_7928fda9": {
   "en": "Substep Completion",
   "zh": "子步完成",
   "level": "l3"
  },
  "CAP_f8a0117c": {
   "en": "Body Sleep State Check",
   "zh": "刚体休眠状态检查",
   "level": "l3"
  },
  "CAP_f5903e17": {
   "en": "FW L1 Nonlinear Lateral Guidance",
   "zh": "固定翼L1非线性横向制导",
   "level": "l3"
  },
  "CAP_3610c8b3": {
   "en": "FW TECS Total Energy Longitudinal Control",
   "zh": "固定翼TECS总能量纵向控制",
   "level": "l3"
  },
  "CAP_2a64c994": {
   "en": "FW Coordinated Turn and Yaw Damper",
   "zh": "固定翼协调转弯与荷兰滚阻尼",
   "level": "l3"
  },
  "CAP_12525c43": {
   "en": "FW Control Surface Allocation (Mixer)",
   "zh": "固定翼控制面分配（混控）",
   "level": "l3"
  },
  "CAP_3230105f": {
   "en": "FW Takeoff and Landing State Machine",
   "zh": "固定翼起飞/着陆状态机",
   "level": "l3"
  },
  "CAP_08573194": {
   "en": "FW Airspeed Gain Scheduling",
   "zh": "固定翼空速增益调度",
   "level": "l3"
  },
  "CAP_3b1c72e4": {
   "en": "FW INDI Angular Acceleration Feedback",
   "zh": "固定翼INDI角加速度估计与滤波",
   "level": "l3"
  },
  "CAP_a1650d23": {
   "en": "Robot-Side Log and Trace Instrumentation",
   "zh": "机器人端日志与追踪插桩",
   "level": "l3"
  },
  "CAP_39fd7a6a": {
   "en": "Fleet Telemetry Publishing",
   "zh": "车队遥测发布",
   "level": "l3"
  },
  "CAP_d43ee087": {
   "en": "Grafana Fleet Monitoring Dashboard",
   "zh": "Grafana机群监控仪表盘",
   "level": "l3"
  },
  "CAP_1bf6a2db": {
   "en": "Time-series Database and Log Storage Configuration",
   "zh": "时序数据库与日志存储配置",
   "level": "l3"
  },
  "CAP_a292a004": {
   "en": "Alerting Rule Definition",
   "zh": "告警规则定义",
   "level": "l3"
  },
  "CAP_7d099847": {
   "en": "Fleet Telemetry KPI Computation",
   "zh": "车队运营KPI计算",
   "level": "l2"
  },
  "CAP_b3ac05ae": {
   "en": "Fleet Utilization KPI",
   "zh": "车队利用率KPI计算",
   "level": "l3"
  },
  "CAP_b19e3c58": {
   "en": "Task Performance KPI",
   "zh": "任务性能KPI计算",
   "level": "l3"
  },
  "CAP_e6f3caf6": {
   "en": "Charging Energy KPI",
   "zh": "充电能源KPI计算",
   "level": "l3"
  },
  "CAP_264e747a": {
   "en": "Fleet Operational Report Generation",
   "zh": "车队运营报表生成",
   "level": "l3"
  },
  "CAP_8927697c": {
   "en": "DES Fleet Sizing Simulation",
   "zh": "离散事件仿真车队规模规划",
   "level": "l2"
  },
  "CAP_9f5ce7b0": {
   "en": "Fleet Requirement Parameterization",
   "zh": "车队需求参数化建模",
   "level": "l3"
  },
  "CAP_0001ec1c": {
   "en": "DES Fleet Model Construction",
   "zh": "车队离散事件仿真模型构建",
   "level": "l3"
  },
  "CAP_21f498ff": {
   "en": "Simulation Model V&V",
   "zh": "仿真模型验证与确认",
   "level": "l3"
  },
  "CAP_1712e7fc": {
   "en": "Simulation Experiment Sweep",
   "zh": "仿真参数扫描与批量实验",
   "level": "l3"
  },
  "CAP_7ec6d8d6": {
   "en": "Sensitivity Analysis for Fleet Sizing",
   "zh": "车队规模敏感性分析",
   "level": "l3"
  },
  "CAP_d3aa0ab2": {
   "en": "Fleet Sizing Decision Analysis",
   "zh": "车队规模配置决策分析",
   "level": "l3"
  },
  "CAP_d84ea47d": {
   "en": "Data-Driven Bottleneck Diagnosis",
   "zh": "数据驱动运营瓶颈诊断与策略优化",
   "level": "l2"
  },
  "CAP_673f1039": {
   "en": "Operational Event Log Preprocessing",
   "zh": "运营事件日志采集与预处理",
   "level": "l3"
  },
  "CAP_19639ba6": {
   "en": "Process Mining Bottleneck Detection",
   "zh": "流程挖掘与瓶颈检测",
   "level": "l3"
  },
  "CAP_a816cb82": {
   "en": "Bottleneck Root Cause Analysis",
   "zh": "瓶颈根因分析与策略生成",
   "level": "l3"
  },
  "CAP_5d6da927": {
   "en": "Strategy Validation and AB Testing",
   "zh": "策略验证与A/B测试",
   "level": "l3"
  },
  "CAP_4c353ff6": {
   "en": "MQTT Fleet Connection Establishment",
   "zh": "MQTT车队连接建立",
   "level": "l3"
  },
  "CAP_41793537": {
   "en": "AGV Capability Factsheet Registration",
   "zh": "AGV能力声明注册",
   "level": "l3"
  },
  "CAP_d5734d17": {
   "en": "Fleet Order Command Dispatch",
   "zh": "车队任务指令下发",
   "level": "l3"
  },
  "CAP_0eca5fcc": {
   "en": "Fleet Instant Action Command",
   "zh": "车队即时动作指令",
   "level": "l3"
  },
  "CAP_624de390": {
   "en": "Connection Heartbeat Monitoring",
   "zh": "连接心跳监控",
   "level": "l3"
  },
  "CAP_a664d726": {
   "en": "Visualization Pose Stream",
   "zh": "可视化位姿流",
   "level": "l3"
  },
  "CAP_75ca7ff8": {
   "en": "Robot Native API Bridging",
   "zh": "机器人原生API桥接",
   "level": "l3"
  },
  "CAP_3dda1fcb": {
   "en": "Inter-fleet Coordinate Transformation",
   "zh": "跨车队坐标变换",
   "level": "l3"
  },
  "CAP_1adf71cb": {
   "en": "RMF REST Task CRUD API",
   "zh": "RMF REST任务增删改查API",
   "level": "l3"
  },
  "CAP_f559d799": {
   "en": "Cross-Network Fleet Bridging (zenoh)",
   "zh": "跨网络车队桥接（zenoh）",
   "level": "l3"
  },
  "CAP_e0fa0399": {
   "en": "RMF WebSocket State Broadcast",
   "zh": "RMF WebSocket状态广播",
   "level": "l3"
  },
  "CAP_7e493dae": {
   "en": "AMR WebSocket Identity Registration",
   "zh": "AMR WebSocket身份注册",
   "level": "l3"
  },
  "CAP_f59acac5": {
   "en": "Periodic AMR WebSocket Status Reporting",
   "zh": "AMR WebSocket周期性状态上报",
   "level": "l3"
  },
  "CAP_db72c6a2": {
   "en": "WebSocket Fleet Visibility Server",
   "zh": "WebSocket车队可见性服务器",
   "level": "l3"
  },
  "CAP_d56f2b1e": {
   "en": "Human-Robot Coexistence Reporting",
   "zh": "人机共存状态上报",
   "level": "l3"
  },
  "CAP_97a64419": {
   "en": "Fleet Charge Task Dispatch Planning",
   "zh": "车队充电任务派发规划",
   "level": "l2"
  },
  "CAP_09834496": {
   "en": "Centralized Event-Driven Schedule Repair",
   "zh": "集中式事件驱动调度修复",
   "level": "l2"
  },
  "CAP_818cd2aa": {
   "en": "Fault Event Detection and Aggregation",
   "zh": "故障事件检测与聚合",
   "level": "l3"
  },
  "CAP_386b7a43": {
   "en": "Orphan Task Reclamation",
   "zh": "孤儿任务识别与回收",
   "level": "l3"
  },
  "CAP_d9656fde": {
   "en": "Local Heuristic Task Reassignment",
   "zh": "局部启发式任务重分配",
   "level": "l3"
  },
  "CAP_09a20a31": {
   "en": "Task Cancel Dispatch",
   "zh": "故障任务取消与新任务下发",
   "level": "l3"
  },
  "CAP_cda68bfb": {
   "en": "Event-driven Schedule Repair Dispatch",
   "zh": "事件驱动调度修复派发",
   "level": "l3"
  },
  "CAP_45850406": {
   "en": "Event-Triggered Re-auction",
   "zh": "事件触发重拍卖",
   "level": "l3"
  },
  "CAP_00599a21": {
   "en": "Distributed Auction-Based Fleet Task Allocation",
   "zh": "分布式竞价舰队任务分配",
   "level": "l3"
  },
  "CAP_352efe27": {
   "en": "Common System Resource Monitoring",
   "zh": "通用系统资源监控",
   "level": "l3"
  },
  "CAP_974b9ac0": {
   "en": "Diagnostic Status Multi-Source Subscription",
   "zh": "诊断状态多源订阅与路由",
   "level": "l3"
  },
  "CAP_c6655fb0": {
   "en": "Diagnostic STALE Timeout and Status Lifecycle Management",
   "zh": "诊断STALE超时与状态生命周期管理",
   "level": "l3"
  },
  "CAP_7f5f7a20": {
   "en": "Fleet-Level Diagnostic Alert Aggregation",
   "zh": "机群级诊断告警聚合",
   "level": "l3"
  },
  "CAP_82d404a2": {
   "en": "Robot Health Score Computation",
   "zh": "机器人健康评分计算",
   "level": "l3"
  },
  "CAP_60d771bb": {
   "en": "Diagnostic Dashboard Visualization",
   "zh": "诊断仪表盘可视化",
   "level": "l3"
  },
  "CAP_aca1a87e": {
   "en": "Diagnostic Hierarchy Navigation and Dashboard Rendering",
   "zh": "诊断树层级导航与面板渲染",
   "level": "l3"
  },
  "CAP_d674fdb9": {
   "en": "Diagnostic Remote Logging",
   "zh": "诊断远程日志持久化",
   "level": "l3"
  },
  "CAP_b519c1c5": {
   "en": "Prognostics Model Construction and Calibration",
   "zh": "退化模型构建与参数校准",
   "level": "l2"
  },
  "CAP_4439c05f": {
   "en": "Future Loading Estimation",
   "zh": "未来负载预测",
   "level": "l3"
  },
  "CAP_23ad331e": {
   "en": "Prognostics Uncertainty Quantification",
   "zh": "预测不确定性量化与SOH评估",
   "level": "l3"
  },
  "CAP_f5e010a6": {
   "en": "Predictive Maintenance Decision Making",
   "zh": "预测性维护决策与工单生成",
   "level": "l2"
  },
  "CAP_84e4e7b5": {
   "en": "Fleet-Level RUL Aggregation and Maintenance Prioritization",
   "zh": "机群RUL聚合与维护优先级排序",
   "level": "l3"
  },
  "CAP_bf62076f": {
   "en": "Robot Fleet Telemetry Instrumentation (OpenTelemetry)",
   "zh": "机器人机群遥测插桩（OpenTelemetry）",
   "level": "l2"
  },
  "CAP_c7ca0525": {
   "en": "Device Health Telemetry Collection",
   "zh": "设备健康遥测采集",
   "level": "l3"
  },
  "CAP_fdce6ade": {
   "en": "Cloud-Based Fleet Parameter Management via MQTT",
   "zh": "基于MQTT的云端车队参数管理",
   "level": "l2"
  },
  "CAP_12a948bc": {
   "en": "Cloud MQTT Broker and Data Routing",
   "zh": "云端MQTT Broker与数据路由",
   "level": "l3"
  },
  "CAP_0dd5257a": {
   "en": "MQTT Message Routing via Rule Engine",
   "zh": "MQTT规则引擎消息路由",
   "level": "l3"
  },
  "CAP_8a0a124f": {
   "en": "MQTT Broker Secure Connection",
   "zh": "MQTT Broker安全连接",
   "level": "l3"
  },
  "CAP_3f38747b": {
   "en": "Observability Dashboard and Visualization",
   "zh": "可观测性仪表盘与可视化",
   "level": "l3"
  },
  "CAP_5c2ac9d5": {
   "en": "PHM Model Canary OTA with Health Guard",
   "zh": "PHM模型灰度OTA与健康守护",
   "level": "l3"
  },
  "CAP_53d08bd3": {
   "en": "Deployment Health Monitoring",
   "zh": "部署健康监控",
   "level": "l3"
  },
  "CAP_787ec469": {
   "en": "Remote Health Diagnostics Command and Snapshot",
   "zh": "远程健康诊断命令与快照",
   "level": "l3"
  },
  "CAP_56841093": {
   "en": "Foxglove 3D Panel and Data Playback",
   "zh": "Foxglove 3D面板与数据回放",
   "level": "l3"
  },
  "CAP_61833777": {
   "en": "Fleet Onboarding and State Sync",
   "zh": "机群接入与状态同步",
   "level": "l2"
  },
  "CAP_4ddb521b": {
   "en": "Task and Resource Topology Modeling",
   "zh": "任务与资源拓扑建模",
   "level": "l2"
  },
  "CAP_917bd3e8": {
   "en": "Rmf Bid Proposal Calculation",
   "zh": "RMF 竞价成本计算",
   "level": "l3"
  },
  "CAP_f773754f": {
   "en": "Greedy/A* Dual-Mode Task Planning",
   "zh": "贪心/A*双模式任务规划",
   "level": "l3"
  },
  "CAP_6907f4a6": {
   "en": "Energy-Aware Marginal Gain Bid Computation",
   "zh": "能量感知边际收益出价计算",
   "level": "l3"
  },
  "CAP_bcab5cb9": {
   "en": "Distributed Charging Slot Auction",
   "zh": "分布式充电桩时间窗拍卖",
   "level": "l3"
  },
  "CAP_769d5090": {
   "en": "Distributed Task Announcement Reception",
   "zh": "分布式任务公告接收",
   "level": "l3"
  },
  "CAP_51ef2770": {
   "en": "Declarative Robot CRD Lifecycle Management",
   "zh": "声明式机器人 CRD 生命周期管理",
   "level": "l2"
  },
  "CAP_7584719a": {
   "en": "Robot Fleet Scaling Metric Design",
   "zh": "机器人机群伸缩指标设计",
   "level": "l3"
  },
  "CAP_27525649": {
   "en": "K8s Fleet CR Declarative Orchestration",
   "zh": "K8s机群自定义资源声明式编排",
   "level": "l3"
  },
  "CAP_f4dd83b3": {
   "en": "Custom Metrics Collection Pipeline",
   "zh": "自定义指标采集管道",
   "level": "l3"
  },
  "CAP_07d31ee7": {
   "en": "K8s HPA Horizontal Pod Autoscaling Configuration",
   "zh": "K8s HPA水平自动伸缩配置",
   "level": "l3"
  },
  "CAP_4f865947": {
   "en": "Autoscaling Stability Tuning",
   "zh": "伸缩稳定性调优",
   "level": "l3"
  },
  "CAP_ced574f4": {
   "en": "Elastic Autoscaling Design",
   "zh": "弹性伸缩设计",
   "level": "l2"
  },
  "CAP_fc09cd14": {
   "en": "Robot Telemetry Data Model Design",
   "zh": "机器人遥测数据模型设计",
   "level": "l3"
  },
  "CAP_9d5adb2d": {
   "en": "Kafka Topic Partitioning and Consumer Scale-Out",
   "zh": "Kafka Topic分区与消费扩展",
   "level": "l3"
  },
  "CAP_5e2d38d7": {
   "en": "ClickHouse Distributed Table and Hash Sharding",
   "zh": "ClickHouse分布式表与哈希分片",
   "level": "l3"
  },
  "CAP_34292606": {
   "en": "High-Cardinality Metrics Time-Series Storage Scaling",
   "zh": "高基数指标时序存储扩展",
   "level": "l3"
  },
  "CAP_2705ea71": {
   "en": "Telemetry Data Lifecycle Management and Downsampling",
   "zh": "遥测数据生命周期管理与降采样",
   "level": "l3"
  },
  "CAP_96388316": {
   "en": "Fleet Telemetry Pipeline and Data Sharding Architecture",
   "zh": "机群遥测数据管道与分片架构",
   "level": "l2"
  },
  "CAP_6d2314e9": {
   "en": "FleetCRTopologyOrchestration",
   "zh": "机群CR拓扑编排",
   "level": "l3"
  },
  "CAP_600294b0": {
   "en": "Three-Tier Metrics Pipeline Deployment",
   "zh": "三层指标采集管道部署",
   "level": "l3"
  },
  "CAP_0a151728": {
   "en": "Fleet Rollout Orchestration",
   "zh": "车队分群滚动更新编排",
   "level": "l2"
  },
  "CAP_b406e00b": {
   "en": "Distribution Set Assembly and Locking",
   "zh": "分发集装配与锁定",
   "level": "l3"
  },
  "CAP_8edbcf07": {
   "en": "Rollout Lifecycle Management",
   "zh": "滚动更新生命周期管理",
   "level": "l3"
  },
  "CAP_d6f57cee": {
   "en": "Group Deployment Execution",
   "zh": "群组部署执行",
   "level": "l3"
  },
  "CAP_946bd200": {
   "en": "DDI API HTTP Long-Polling Integration",
   "zh": "DDI API HTTP 长轮询集成",
   "level": "l3"
  },
  "CAP_48018504": {
   "en": "TLS Encrypted Firmware Artifact Download",
   "zh": "TLS 加密固件工件下载",
   "level": "l3"
  },
  "CAP_17e193b1": {
   "en": "MCU/RTOS Dual-Slot A/B Firmware Atomic Update",
   "zh": "MCU/RTOS双槽A/B固件原子更新",
   "level": "l2"
  },
  "CAP_ce71de2f": {
   "en": "MCUboot Swap-Using-Scratch Sector-Level Atomic Swap",
   "zh": "MCUboot Scratch辅助扇区级原子交换",
   "level": "l3"
  },
  "CAP_b83939fc": {
   "en": "MCUboot Direct-XIP Slot Selection by Version",
   "zh": "MCUboot Direct-XIP按版本选槽",
   "level": "l3"
  },
  "CAP_25ef16cc": {
   "en": "Unconfirmed Reboot Fallback Detection",
   "zh": "未确认重启回退检测",
   "level": "l3"
  },
  "CAP_93c1a1d8": {
   "en": "IWDG Watchdog-Triggered Bootloader Revert",
   "zh": "IWDG看门狗触发Bootloader回退",
   "level": "l3"
  },
  "CAP_56555972": {
   "en": "HTTPS Streaming Download and Flash Partition Write",
   "zh": "HTTPS流式下载与Flash分区写入",
   "level": "l3"
  },
  "CAP_f02bf9d6": {
   "en": "MCU CA-Pinned HTTPS Streaming Download Channel",
   "zh": "MCU CA 固定 HTTPS 流式下载通道",
   "level": "l3"
  },
  "CAP_c055bb75": {
   "en": "mTLS HTTPS Firmware Download Channel",
   "zh": "mTLS HTTPS 固件下载通道",
   "level": "l3"
  },
  "CAP_87e61b86": {
   "en": "Uptane/TUF Secure OTA Fleet Update",
   "zh": "Uptane/TUF 安全 OTA 车队更新",
   "level": "l3"
  },
  "CAP_72442bdd": {
   "en": "Uptane Dual Repository Trust Separation",
   "zh": "Uptane 双仓库信任分离",
   "level": "l3"
  },
  "CAP_bc040cd8": {
   "en": "TUF Four Role Metadata Signing",
   "zh": "TUF 四角色元数据签名",
   "level": "l3"
  },
  "CAP_4d82be94": {
   "en": "TUF Client Metadata Refresh and Verification",
   "zh": "TUF 客户端元数据刷新与验证",
   "level": "l3"
  },
  "CAP_d34148a0": {
   "en": "Primary Secondary ECU Dual Verification",
   "zh": "主次 ECU 双重验证",
   "level": "l3"
  },
  "CAP_940e772e": {
   "en": "Rolling Update Orchestration",
   "zh": "滚动更新编排",
   "level": "l3"
  },
  "CAP_f9579d2e": {
   "en": "Multi-Cluster Robot Distribution",
   "zh": "多集群机器人分发",
   "level": "l3"
  },
  "CAP_f7dea039": {
   "en": "Fleet Status Aggregation",
   "zh": "舰队状态聚合",
   "level": "l3"
  },
  "CAP_7c6d9eec": {
   "en": "Workload Coordination",
   "zh": "工作负载协调",
   "level": "l3"
  },
  "CAP_514842e2": {
   "en": "Robot CR Drift Detection",
   "zh": "机器人 CR 漂移检测",
   "level": "l3"
  },
  "CAP_c8e8ca36": {
   "en": "Robot CRD and Namespace Role Configuration",
   "zh": "机器人 CRD 与命名空间角色配置",
   "level": "l3"
  },
  "CAP_dbe24a0e": {
   "en": "Fleet State Dashboard Visualization",
   "zh": "车队状态仪表盘可视化",
   "level": "l2"
  },
  "CAP_1e655cd1": {
   "en": "Multi-Fleet State Snapshot Aggregation",
   "zh": "多车队状态快照聚合",
   "level": "l3"
  },
  "CAP_84cb6a2d": {
   "en": "Fleet State REST Query API",
   "zh": "车队状态REST查询API",
   "level": "l3"
  },
  "CAP_99f94726": {
   "en": "2D Building Map SVG Rendering",
   "zh": "2D楼层平面图SVG渲染",
   "level": "l3"
  },
  "CAP_00558a53": {
   "en": "Robot Marker Overlay Rendering",
   "zh": "机器人标记叠加层渲染",
   "level": "l3"
  },
  "CAP_45b60061": {
   "en": "Fleet Dashboard Notification Display",
   "zh": "车队仪表盘告警通知展示",
   "level": "l3"
  },
  "CAP_4196d5dc": {
   "en": "VDA5050 Fleet State Dashboard",
   "zh": "VDA5050车队状态面板",
   "level": "l2"
  },
  "CAP_e9944fda": {
   "en": "VDA5050 MQTT State Publishing",
   "zh": "VDA5050 MQTT状态发布",
   "level": "l3"
  },
  "CAP_4e29e36c": {
   "en": "MQTT Broker Message Routing",
   "zh": "MQTT Broker消息路由",
   "level": "l3"
  },
  "CAP_40e8edbf": {
   "en": "VDA5050 FMS State Aggregation",
   "zh": "VDA5050 FMS状态聚合",
   "level": "l3"
  },
  "CAP_a0bd5003": {
   "en": "Plant Floor AGV Visualization",
   "zh": "工厂平面图AGV可视化",
   "level": "l3"
  },
  "CAP_4ff92f14": {
   "en": "VDA5050 Connection Alert Monitoring",
   "zh": "VDA5050连接告警监控",
   "level": "l3"
  },
  "CAP_ef567076": {
   "en": "Cloud-Native Fleet Observability Dashboard",
   "zh": "云原生车队可观测性面板",
   "level": "l2"
  },
  "CAP_034171a0": {
   "en": "Fleet Metrics to Prometheus Export",
   "zh": "车队指标Prometheus导出",
   "level": "l3"
  },
  "CAP_e3aa49e3": {
   "en": "Rmf Fleet Capability Registration",
   "zh": "RMF舰队能力注册",
   "level": "l3"
  },
  "CAP_fdfd94c9": {
   "en": "CbbaProblemModeling",
   "zh": "CBBA问题建模与状态初始化",
   "level": "l3"
  },
  "CAP_c940b42d": {
   "en": "Cost Matrix Modeling Orchestration",
   "zh": "代价矩阵建模编排",
   "level": "l2"
  },
  "CAP_d0516f65": {
   "en": "OP MILP Model Formulation",
   "zh": "OP MILP模型构建",
   "level": "l3"
  },
  "CAP_6867990a": {
   "en": "OP Solver Execution",
   "zh": "OP求解器执行",
   "level": "l3"
  },
  "CAP_cc65275c": {
   "en": "Cost Matrix Computation",
   "zh": "代价矩阵预计算",
   "level": "l3"
  },
  "CAP_9e1f3a52": {
   "en": "Infeasibility Diagnosis and Constraint Relaxation",
   "zh": "不可行诊断与约束松弛",
   "level": "l3"
  },
  "CAP_d2d3b6cc": {
   "en": "Fleet Software Version Distribution Analysis",
   "zh": "舰队软件版本分布分析",
   "level": "l3"
  },
  "CAP_f33aeef7": {
   "en": "Dynamic Device Group Management",
   "zh": "动态设备组管理",
   "level": "l3"
  },
  "CAP_65761a55": {
   "en": "Rollout Group Threshold Configuration",
   "zh": "推出组阈值配置",
   "level": "l3"
  },
  "CAP_60539a92": {
   "en": "Artifact Delivery with Resume Support",
   "zh": "支持断点续传的工件分发",
   "level": "l3"
  },
  "CAP_401deb8a": {
   "en": "Threshold-based Circuit Breaking",
   "zh": "基于阈值的熔断控制",
   "level": "l3"
  },
  "CAP_494e4375": {
   "en": "Post-rollout Compliance Verification",
   "zh": "推出后合规性验证",
   "level": "l3"
  },
  "CAP_77d36e5d": {
   "en": "Phased Rollout Orchestration",
   "zh": "分阶段滚动更新编排",
   "level": "l2"
  },
  "CAP_4f677da6": {
   "en": "Phased Rollout Planning",
   "zh": "分阶段推出规划",
   "level": "l2"
  },
  "CAP_6193afea": {
   "en": "Dynamic Device Grouping",
   "zh": "动态设备分组",
   "level": "l3"
  },
  "CAP_27fa611c": {
   "en": "Distribution Set Locking",
   "zh": "分发集锁定",
   "level": "l3"
  },
  "CAP_bc4276fe": {
   "en": "Cascading Plan Generation",
   "zh": "级联计划生成",
   "level": "l3"
  },
  "CAP_b6b045d1": {
   "en": "Phased Rollout Execution",
   "zh": "分阶段推出执行",
   "level": "l3"
  },
  "CAP_20169023": {
   "en": "Group Deployment Trigger",
   "zh": "分组部署触发",
   "level": "l3"
  },
  "CAP_61df9849": {
   "en": "Resumable Artifact Delivery",
   "zh": "可续传制品分发",
   "level": "l3"
  },
  "CAP_3ba74b73": {
   "en": "Group Status Evaluation",
   "zh": "分组状态评估",
   "level": "l3"
  },
  "CAP_45e3a8cd": {
   "en": "Rollout Abort and Retry",
   "zh": "推出中止与重试",
   "level": "l3"
  },
  "CAP_c1c6072d": {
   "en": "Rollout Reporting and Cleanup",
   "zh": "推出报告与清理",
   "level": "l2"
  },
  "CAP_06e788b2": {
   "en": "Deployment Report Aggregation",
   "zh": "部署报告汇总",
   "level": "l3"
  },
  "CAP_e62a126e": {
   "en": "Distribution Set Unlocking",
   "zh": "分发集解锁",
   "level": "l3"
  },
  "CAP_fc816fe8": {
   "en": "Campaign Preparation and Vehicle Inventory",
   "zh": "战役准备与车辆清单收集",
   "level": "l2"
  },
  "CAP_2fd341e4": {
   "en": "Vehicle ECU Version Inventory",
   "zh": "车辆 ECU 版本清单收集",
   "level": "l3"
  },
  "CAP_8a9f032d": {
   "en": "Secure Update Campaign Definition",
   "zh": "安全更新战役定义",
   "level": "l3"
  },
  "CAP_2c712007": {
   "en": "ECU Update Dependency Resolution",
   "zh": "ECU 更新依赖解析",
   "level": "l3"
  },
  "CAP_cc345f5a": {
   "en": "Per-Vehicle Target Resolution and Campaign Launch",
   "zh": "每车目标解析与战役发起",
   "level": "l2"
  },
  "CAP_8c049728": {
   "en": "Campaign Lifecycle Management",
   "zh": "战役生命周期管理",
   "level": "l3"
  },
  "CAP_a91623e5": {
   "en": "Device Batch Processing",
   "zh": "设备批次处理",
   "level": "l3"
  },
  "CAP_7fa55029": {
   "en": "Director Per-Vehicle Target Assignment",
   "zh": "Director 每车目标分配",
   "level": "l3"
  },
  "CAP_296c077e": {
   "en": "Device Affected Determination",
   "zh": "设备受影响判定",
   "level": "l3"
  },
  "CAP_6906bcf4": {
   "en": "Intra-Vehicle Multi-ECU Coordinated Installation",
   "zh": "车内多 ECU 协同安装",
   "level": "l2"
  },
  "CAP_9f8be848": {
   "en": "Multi-ECU Image Distribution",
   "zh": "多 ECU 镜像分发",
   "level": "l3"
  },
  "CAP_d8907b37": {
   "en": "ECU Installation Ordering",
   "zh": "ECU 安装排序",
   "level": "l3"
  },
  "CAP_9ab00920": {
   "en": "Intra-Vehicle Multi-ECU Installation Coordination",
   "zh": "车内多 ECU 安装协调",
   "level": "l3"
  },
  "CAP_bc4eef53": {
   "en": "Campaign Progress Tracking and Lifecycle Management",
   "zh": "战役进度追踪与生命周期管理",
   "level": "l2"
  },
  "CAP_cc8ea8bb": {
   "en": "DeviceUpdateReport Event Consumption",
   "zh": "设备更新报告事件消费",
   "level": "l3"
  },
  "CAP_de3e7899": {
   "en": "Campaign-Level Status Aggregation",
   "zh": "战役级状态聚合",
   "level": "l3"
  },
  "CAP_50577aa9": {
   "en": "Campaign Progress Tracking",
   "zh": "战役进度追踪",
   "level": "l3"
  },
  "CAP_e881a093": {
   "en": "Campaign Completion Report",
   "zh": "战役完成报告",
   "level": "l3"
  },
  "CAP_02f43614": {
   "en": "Vehicle Version Manifest Collection",
   "zh": "车辆版本清单采集",
   "level": "l3"
  },
  "CAP_171da602": {
   "en": "Firmware Upload and Signing",
   "zh": "固件上传与签名",
   "level": "l3"
  },
  "CAP_fd9d3d27": {
   "en": "Campaign Target Group Selection",
   "zh": "战役目标组选择",
   "level": "l3"
  },
  "CAP_418710e5": {
   "en": "Campaign Scheduling Configuration",
   "zh": "战役调度参数配置",
   "level": "l3"
  },
  "CAP_6847b219": {
   "en": "Per-Vehicle Target Resolution",
   "zh": "逐车目标解析",
   "level": "l2"
  },
  "CAP_91181f6d": {
   "en": "Campaign Launch",
   "zh": "战役启动",
   "level": "l3"
  },
  "CAP_c647593c": {
   "en": "Primary Metadata Refresh Trigger",
   "zh": "Primary元数据刷新触发",
   "level": "l3"
  },
  "CAP_bffbdf0a": {
   "en": "Device Up-to-Date Marking",
   "zh": "设备已最新标记",
   "level": "l3"
  },
  "CAP_20a569ed": {
   "en": "ECU Installation Verification",
   "zh": "ECU安装验证",
   "level": "l3"
  },
  "CAP_71d15a7e": {
   "en": "ECU Success Reporting",
   "zh": "ECU成功上报",
   "level": "l3"
  },
  "CAP_9d7a7097": {
   "en": "ECU Failure Reporting",
   "zh": "ECU失败上报",
   "level": "l3"
  },
  "CAP_43ca6d65": {
   "en": "Vehicle Installation Report Generation",
   "zh": "车辆安装报告生成",
   "level": "l3"
  },
  "CAP_17895b34": {
   "en": "Campaign Finality Determination",
   "zh": "战役终态判定",
   "level": "l3"
  },
  "CAP_536ba203": {
   "en": "Campaign Completion",
   "zh": "战役完成",
   "level": "l3"
  },
  "CAP_cfdd1f1a": {
   "en": "Campaign Monitoring Continuation",
   "zh": "战役监控继续",
   "level": "l3"
  },
  "CAP_f32887fe": {
   "en": "Campaign Lifecycle Control",
   "zh": "战役生命周期控制",
   "level": "l3"
  },
  "CAP_8233071a": {
   "en": "Campaign Report Generation",
   "zh": "战役报告生成",
   "level": "l3"
  },
  "CAP_e284adf3": {
   "en": "Fleet CR Definition",
   "zh": "舰队自定义资源定义",
   "level": "l3"
  },
  "CAP_c6114d26": {
   "en": "Fleet Controller Reconciliation",
   "zh": "舰队控制器协调",
   "level": "l3"
  },
  "CAP_e2a54fa5": {
   "en": "Partition Canary Update",
   "zh": "分区金丝雀更新",
   "level": "l3"
  },
  "CAP_9cff0aea": {
   "en": "In-Place Workload Update",
   "zh": "原地工作负载更新",
   "level": "l3"
  },
  "CAP_2eca3628": {
   "en": "Pod Readiness Gating",
   "zh": "Pod 就绪门控",
   "level": "l3"
  },
  "CAP_deda9db8": {
   "en": "Declarative Pause Resume Rollback",
   "zh": "声明式暂停恢复回滚",
   "level": "l3"
  },
  "CAP_94f3451d": {
   "en": "GitOps Audit Trail",
   "zh": "GitOps 审计追踪",
   "level": "l3"
  },
  "CAP_d33f05d5": {
   "en": "K8s Fleet Declarative Update",
   "zh": "K8s原生声明式舰队更新",
   "level": "l2"
  },
  "CAP_a94f5777": {
   "en": "Declarative Lifecycle Management",
   "zh": "声明式生命周期管理",
   "level": "l2"
  },
  "CAP_7e01dd7e": {
   "en": "Cell Load Estimation",
   "zh": "单元负载评估",
   "level": "l3"
  },
  "CAP_7c2b9e4d": {
   "en": "K-means Task Spatial Clustering",
   "zh": "K-means任务空间聚类",
   "level": "l3"
  },
  "CAP_a6ca4c18": {
   "en": "CVRP Workload Balancing",
   "zh": "CVRP负载均衡",
   "level": "l3"
  },
  "CAP_8d89abf1": {
   "en": "Fleet Adapter Bridge",
   "zh": "多机器人车队适配桥接",
   "level": "l3"
  },
  "CAP_1e8f32a9": {
   "en": "Centralized Task Planner",
   "zh": "集中式任务规划器",
   "level": "l3"
  },
  "CAP_04a65b68": {
   "en": "Multi-Robot Traffic Negotiator",
   "zh": "多车交通协商器",
   "level": "l3"
  },
  "CAP_78db681f": {
   "en": "Clamped Behavior Force Fusion",
   "zh": "限幅行为力融合",
   "level": "l3"
  },
  "CAP_8850a493": {
   "en": "Vicsek Polarization Order Parameter",
   "zh": "Vicsek 极化序参量",
   "level": "l3"
  },
  "CAP_34a5513c": {
   "en": "Graph Laplacian Consensus Computation",
   "zh": "图拉普拉斯一致性计算",
   "level": "l3"
  },
  "CAP_da032b6f": {
   "en": "Beta-Agent Obstacle Virtual Agent",
   "zh": "β-agent 障碍虚拟代理",
   "level": "l3"
  },
  "CAP_e85f36e6": {
   "en": "Lyapunov Flocking Convergence Verification",
   "zh": "Lyapunov flocking 收敛性验证",
   "level": "l3"
  },
  "CAP_807e7ccb": {
   "en": "Migration Arrival Detection",
   "zh": "γ-agent 跟踪迁移抵达判定",
   "level": "l3"
  },
  "CAP_2ea3219f": {
   "en": "Neighborhood Zone Perception",
   "zh": "邻域三区感知",
   "level": "l3"
  },
  "CAP_c3eef726": {
   "en": "Informed Leader Goal Injection",
   "zh": "知情者目标方向注入",
   "level": "l3"
  },
  "CAP_20ad1163": {
   "en": "Direction Normalization and Turn Clamp",
   "zh": "方向归一化与转角限幅",
   "level": "l3"
  },
  "CAP_6b7ad1e0": {
   "en": "Migration Accuracy Metric",
   "zh": "迁移准确度度量",
   "level": "l3"
  },
  "CAP_5cd97926": {
   "en": "Likelihood Field Model Matching",
   "zh": "似然场模型匹配",
   "level": "l3"
  },
  "CAP_877614ee": {
   "en": "Map-Constrained Localization",
   "zh": "地图约束定位",
   "level": "l3"
  },
  "CAP_401b32a6": {
   "en": "KLD Adaptive Resampling",
   "zh": "KLD自适应重采样",
   "level": "l3"
  },
  "CAP_2217737c": {
   "en": "MCL Kidnapped Robot Recovery",
   "zh": "MCL绑架恢复",
   "level": "l3"
  },
  "CAP_b547d960": {
   "en": "Scan-to-FloorPlan Matching",
   "zh": "LiDAR扫描-平面图直接匹配定位",
   "level": "l2"
  },
  "CAP_b5bbc2fd": {
   "en": "Multi-Resolution Distance Field",
   "zh": "多分辨率距离场构建",
   "level": "l3"
  },
  "CAP_2f001c74": {
   "en": "Dynamic Point Filtering",
   "zh": "动态点过滤",
   "level": "l3"
  },
  "CAP_c3cd9cb2": {
   "en": "Point-to-Line ICP (PLICP)",
   "zh": "点到线ICP精配准",
   "level": "l3"
  },
  "CAP_8cf7188c": {
   "en": "Pose Covariance Estimation from Hessian",
   "zh": "基于Hessian的位姿协方差估计",
   "level": "l3"
  },
  "CAP_8f96f923": {
   "en": "Architectural Graph Matching Localization",
   "zh": "建筑图匹配定位",
   "level": "l2"
  },
  "CAP_36108dd3": {
   "en": "Wall Surface Extraction & Clustering",
   "zh": "墙面提取与聚类",
   "level": "l3"
  },
  "CAP_b44bda18": {
   "en": "GNN Room Relation Reasoning",
   "zh": "GNN房间关系推理",
   "level": "l3"
  },
  "CAP_7dc18dfb": {
   "en": "Graph-to-Graph Matching",
   "zh": "图-图匹配（子图同构）",
   "level": "l3"
  },
  "CAP_d3db9c10": {
   "en": "iS-Graph Merging & Global Optimization",
   "zh": "iS-Graph融合与全局优化",
   "level": "l3"
  },
  "CAP_5b682964": {
   "en": "BeamModelLikelihoodFieldUpdate",
   "zh": "波束模型似然场更新",
   "level": "l3"
  },
  "CAP_34ce5f19": {
   "en": "FloorTransitionDetection",
   "zh": "楼层切换检测",
   "level": "l3"
  },
  "CAP_8fa952b0": {
   "en": "Floor Plan Topology Inference",
   "zh": "平面图拓扑推断",
   "level": "l2"
  },
  "CAP_7a441742": {
   "en": "Room Topology Connectivity",
   "zh": "房间间拓扑连通构建",
   "level": "l3"
  },
  "CAP_a68acb6c": {
   "en": "Door-Room Connectivity Establishment",
   "zh": "门洞-房间连通关系建立",
   "level": "l3"
  },
  "CAP_ee4babf3": {
   "en": "Room Polygon and Door Input Loading",
   "zh": "房间多边形与门洞输入加载",
   "level": "l3"
  },
  "CAP_836bd166": {
   "en": "Door Midpoint Normal Offset Point-in-Polygon Test",
   "zh": "门中点法线偏移点-多边形测试",
   "level": "l3"
  },
  "CAP_540c8739": {
   "en": "Door-Wall Association Validation",
   "zh": "门-墙关联验证",
   "level": "l3"
  },
  "CAP_a39f4fc8": {
   "en": "Door Connectivity Edge Attribute Annotation",
   "zh": "门连通边属性标注",
   "level": "l3"
  },
  "CAP_2ab60c12": {
   "en": "Wall Adjacency Edge Supplement",
   "zh": "墙邻接边补充",
   "level": "l3"
  },
  "CAP_6313fe10": {
   "en": "Persistent Homology Based Room Layer Clustering",
   "zh": "持续同调房间层聚类",
   "level": "l3"
  },
  "CAP_6a2f5d83": {
   "en": "3D Free Space Places Layer Extraction",
   "zh": "3D自由空间places层提取",
   "level": "l3"
  },
  "CAP_1e8c0b74": {
   "en": "Room Segmented Semantic Scene Graph Output",
   "zh": "房间分割语义场景图输出",
   "level": "l3"
  },
  "CAP_4c547363": {
   "en": "Occupancy Grid or TSDF Input Preprocessing",
   "zh": "占栅格或TSDF输入预处理",
   "level": "l3"
  },
  "CAP_384219ee": {
   "en": "GVD Skeleton Extraction from Distance Field",
   "zh": "距离场GVD骨架提取",
   "level": "l3"
  },
  "CAP_ecf820fa": {
   "en": "GVD Skeleton Sparsification and Denoising",
   "zh": "GVD骨架稀疏化与去噪",
   "level": "l3"
  },
  "CAP_3144456a": {
   "en": "Places Graph Edge Extraction",
   "zh": "Places图边提取",
   "level": "l3"
  },
  "CAP_6d2a9dcd": {
   "en": "Corridor and Hallway Filtering",
   "zh": "走廊/过道过滤",
   "level": "l3"
  },
  "CAP_e1311eca": {
   "en": "Incremental GVD Update on New Observations",
   "zh": "新观测增量GVD更新",
   "level": "l3"
  },
  "CAP_43b86955": {
   "en": "Loop Closure Graph Fusion and Deformation",
   "zh": "回环图融合与变形传播",
   "level": "l3"
  },
  "CAP_fd6f8181": {
   "en": "IFC Space Door Relation Extraction",
   "zh": "IFC空间门户关系抽取",
   "level": "l3"
  },
  "CAP_d14fd017": {
   "en": "Door Connectivity Validation and Output",
   "zh": "门洞连通验证与输出",
   "level": "l3"
  },
  "CAP_4c3d2457": {
   "en": "IFC File Loading and Version Check",
   "zh": "IFC文件加载与版本校验",
   "level": "l3"
  },
  "CAP_5a1fc195": {
   "en": "IfcSpace Filtering and Footprint Extraction",
   "zh": "IfcSpace过滤与footprint提取",
   "level": "l3"
  },
  "CAP_9ae180d8": {
   "en": "IFC Geometric Heuristic Topology Complement",
   "zh": "IFC几何启发式拓扑补全",
   "level": "l3"
  },
  "CAP_12bd4adb": {
   "en": "IFC Adjacency Edge Attribute Annotation",
   "zh": "IFC邻接边属性标注",
   "level": "l3"
  },
  "CAP_0642cbe1": {
   "en": "IFC CellSpace Dual Graph Construction",
   "zh": "IFC CellSpace对偶图构建（N-duality）",
   "level": "l3"
  },
  "CAP_b7a12bbe": {
   "en": "IFC Multi-Layer Space Assembly with InterLayerConnection",
   "zh": "IFC多层空间组装与跨层连接预留",
   "level": "l3"
  },
  "CAP_985e6c54": {
   "en": "IndoorGML and NetworkX Graph Export",
   "zh": "IndoorGML XML导出与networkx JSON导出",
   "level": "l3"
  },
  "CAP_103796e8": {
   "en": "Baro/IMU Sensor Data Acquisition",
   "zh": "气压计/IMU传感器数据采集与时间同步",
   "level": "l3"
  },
  "CAP_558a6dc8": {
   "en": "Barometric Altitude Conversion",
   "zh": "气压高度转换与温度补偿",
   "level": "l3"
  },
  "CAP_d7b45d7c": {
   "en": "Vertical State EKF Estimation",
   "zh": "垂直方向扩展卡尔曼滤波状态估计",
   "level": "l3"
  },
  "CAP_d58e99e2": {
   "en": "Vertical Motion Event Detection FSM",
   "zh": "垂直运动事件检测有限状态机",
   "level": "l3"
  },
  "CAP_3a3fa24a": {
   "en": "Floor Offset Counting and Drift Compensation",
   "zh": "楼层偏移计数与气压漂移补偿",
   "level": "l3"
  },
  "CAP_036a545d": {
   "en": "Floor ID Output",
   "zh": "当前楼层编号输出",
   "level": "l3"
  },
  "CAP_80dabaec": {
   "en": "WiFi/BLE RSSI Scan Acquisition",
   "zh": "WiFi/BLE RSSI信号扫描与采集",
   "level": "l3"
  },
  "CAP_3bc3174a": {
   "en": "RSSI Preprocessing and Feature Construction",
   "zh": "RSSI信号预处理与特征向量构建",
   "level": "l3"
  },
  "CAP_6e01c06f": {
   "en": "RSSI Fingerprint Floor Classifier",
   "zh": "RSSI指纹楼层分类器推理",
   "level": "l3"
  },
  "CAP_7f60c062": {
   "en": "Floor Estimate Temporal Smoothing",
   "zh": "楼层估计时序平滑",
   "level": "l3"
  },
  "CAP_58fae34a": {
   "en": "Floor Transition Validation",
   "zh": "楼层切换检测与交叉确认",
   "level": "l3"
  },
  "CAP_20176f41": {
   "en": "Absolute Floor ID Output",
   "zh": "绝对楼层编号输出",
   "level": "l3"
  },
  "CAP_d5daa66f": {
   "en": "Floor Sign OCR Recognition",
   "zh": "楼层标识OCR识别",
   "level": "l3"
  },
  "CAP_4a924151": {
   "en": "Multi-Floor Map Relocalization",
   "zh": "多楼层地图重定位楼层判定",
   "level": "l3"
  },
  "CAP_ff5090f6": {
   "en": "Infrastructure Floor Signal Acquisition",
   "zh": "基础设施楼层信号获取",
   "level": "l3"
  },
  "CAP_85593716": {
   "en": "Point Cloud Floor Height Association",
   "zh": "3D点云高度直方图楼层关联",
   "level": "l3"
  },
  "CAP_f871ad36": {
   "en": "Multi-Source Floor Evidence Fusion",
   "zh": "多源楼层证据融合与交叉验证",
   "level": "l2"
  },
  "CAP_f4e5db89": {
   "en": "Floor Verification Output and Fallback",
   "zh": "楼层确认输出与异常回退",
   "level": "l3"
  },
  "CAP_52eaa1da": {
   "en": "Standalone Flow Matching BC Policy",
   "zh": "独立流匹配模仿学习策略",
   "level": "l2"
  },
  "CAP_9397d608": {
   "en": "Conditional Flow Matching BC Training",
   "zh": "独立条件流匹配速度场训练（BC场景）",
   "level": "l3"
  },
  "CAP_5f1cab92": {
   "en": "Riemannian Flow Matching Policy Training",
   "zh": "黎曼流形流匹配策略训练",
   "level": "l3"
  },
  "CAP_66286fa9": {
   "en": "Partitioned FSI Coupling Simulation",
   "zh": "分区耦合流固耦合仿真",
   "level": "l2"
  },
  "CAP_2e7f1d05": {
   "en": "FSI Partitioned Coupling Configuration",
   "zh": "FSI分区耦合配置与preCICE XML编写",
   "level": "l3"
  },
  "CAP_67417a86": {
   "en": "FVM Transient Incompressible Fluid Solve",
   "zh": "FVM瞬态不可压缩流体求解（pimpleFoam）",
   "level": "l3"
  },
  "CAP_21735508": {
   "en": "FEM Nonlinear Structural Solve",
   "zh": "FEM非线性结构位移求解（CalculiX）",
   "level": "l3"
  },
  "CAP_575d7e5c": {
   "en": "FSI Interface Data Mapping",
   "zh": "FSI界面数据映射（RBF/最近邻插值）",
   "level": "l3"
  },
  "CAP_226ce9e6": {
   "en": "IQN-ILS Quasi-Newton Coupling Acceleration",
   "zh": "IQN-ILS准牛顿强耦合加速",
   "level": "l3"
  },
  "CAP_a0fa32dd": {
   "en": "ALE Mesh Motion Transfer",
   "zh": "ALE动网格位移传递",
   "level": "l3"
  },
  "CAP_3e52687f": {
   "en": "Turek-Hron FSI Benchmark Validation",
   "zh": "Turek-Hron FSI基准验证",
   "level": "l3"
  },
  "CAP_bece70c8": {
   "en": "Immersed Boundary FSI Simulation",
   "zh": "浸入边界法流固耦合仿真",
   "level": "l2"
  },
  "CAP_8267aedf": {
   "en": "IB Cartesian AMR Grid Setup",
   "zh": "IB笛卡尔网格与AMR层级设置",
   "level": "l3"
  },
  "CAP_c7a78776": {
   "en": "IB Lagrangian Structure Setup",
   "zh": "IB拉格朗日结构离散（弹簧质点/FE网格）",
   "level": "l3"
  },
  "CAP_4c3d007d": {
   "en": "IB Delta Function Coupling",
   "zh": "正则化delta函数力弥散与速度插值",
   "level": "l3"
  },
  "CAP_f1ec490b": {
   "en": "IB Eulerian NS Solve",
   "zh": "IB方法欧拉NS方程求解（MAC投影法）",
   "level": "l3"
  },
  "CAP_b6822e4d": {
   "en": "IBFE Finite Element Elasticity",
   "zh": "IBFE有限元弹性力计算",
   "level": "l3"
  },
  "CAP_ad314154": {
   "en": "CIB Constraint IB Method",
   "zh": "CIB约束IB方法（刚体/主动变形结构）",
   "level": "l3"
  },
  "CAP_d4c59973": {
   "en": "IB AMR Adaptation",
   "zh": "IBAMR SAMRAI自适应网格细化",
   "level": "l3"
  },
  "CAP_a73551dd": {
   "en": "Unified SPH Multi-physics FSI Simulation",
   "zh": "统一SPH多物理场流固耦合仿真",
   "level": "l2"
  },
  "CAP_3fcf1ab2": {
   "en": "SPH Particle Generation and Relaxation",
   "zh": "SPH粒子生成与各向同性松弛",
   "level": "l3"
  },
  "CAP_fe304c37": {
   "en": "WCSPH Fluid Riemann Solver",
   "zh": "WCSPH流体求解（Riemann求解器+transport velocity）",
   "level": "l3"
  },
  "CAP_e8fc2d31": {
   "en": "Total Lagrangian SPH Solid Dynamics",
   "zh": "Total Lagrangian SPH固体动力学",
   "level": "l3"
  },
  "CAP_98196fcf": {
   "en": "SPH FSI Contact Momentum Coupling",
   "zh": "SPH流-固接触动量交换耦合",
   "level": "l3"
  },
  "CAP_8c40baba": {
   "en": "SPH Dual-criteria Time Stepping",
   "zh": "SPH双准则自适应时间步进",
   "level": "l3"
  },
  "CAP_151be208": {
   "en": "SPH Multi-resolution FSI Coupling",
   "zh": "SPH多分辨率FSI耦合",
   "level": "l3"
  },
  "CAP_38ac1a73": {
   "en": "SPH Wall Boundary Condition",
   "zh": "SPH壁面边界条件",
   "level": "l3"
  },
  "CAP_56227952": {
   "en": "CFD Post-processing Visualization",
   "zh": "CFD/CSM结果后处理与可视化",
   "level": "l3"
  },
  "CAP_96762b43": {
   "en": "Classic FMECA Criticality Analysis",
   "zh": "经典FMECA危害性分析",
   "level": "l2"
  },
  "CAP_1d5f6992": {
   "en": "FMECA System Definition",
   "zh": "FMECA系统定义",
   "level": "l3"
  },
  "CAP_8f26b401": {
   "en": "System Hierarchy Decomposition",
   "zh": "系统层次分解",
   "level": "l3"
  },
  "CAP_e0d45d29": {
   "en": "Failure Mode Identification",
   "zh": "故障模式识别",
   "level": "l3"
  },
  "CAP_b11fb6e4": {
   "en": "Failure Cause Analysis",
   "zh": "故障原因与机理分析",
   "level": "l3"
  },
  "CAP_fba76517": {
   "en": "Failure Effect Propagation",
   "zh": "三级故障影响分析",
   "level": "l3"
  },
  "CAP_08c5df55": {
   "en": "Severity Classification",
   "zh": "严酷度分类",
   "level": "l3"
  },
  "CAP_464e5c51": {
   "en": "CA Mode Selection",
   "zh": "CA模式选择",
   "level": "l3"
  },
  "CAP_c7e21741": {
   "en": "Qualitative Criticality Matrix",
   "zh": "定性危害性矩阵",
   "level": "l3"
  },
  "CAP_d166faa2": {
   "en": "Quantitative Criticality Number",
   "zh": "定量模式危害度计算",
   "level": "l3"
  },
  "CAP_3d62165b": {
   "en": "Critical Items List",
   "zh": "关键件清单生成",
   "level": "l3"
  },
  "CAP_2eecdd31": {
   "en": "FMECA Corrective Action",
   "zh": "FMECA改进建议",
   "level": "l3"
  },
  "CAP_cfdc02c4": {
   "en": "FMECA Action Tracking",
   "zh": "FMECA措施跟踪闭环",
   "level": "l3"
  },
  "CAP_bdd1358d": {
   "en": "FMEA 5T Definition",
   "zh": "FMEA 5T定义",
   "level": "l3"
  },
  "CAP_987e1c9b": {
   "en": "FMEA Boundary Definition",
   "zh": "FMEA边界定义",
   "level": "l3"
  },
  "CAP_5908c9df": {
   "en": "FMEA Structure Tree",
   "zh": "FMEA结构树",
   "level": "l3"
  },
  "CAP_3c8a234e": {
   "en": "FMEA Interface Analysis",
   "zh": "FMEA接口分析",
   "level": "l3"
  },
  "CAP_76504073": {
   "en": "FMEA Function Network",
   "zh": "FMEA功能网",
   "level": "l3"
  },
  "CAP_0ff73a2c": {
   "en": "FMEA Parameter Diagram",
   "zh": "FMEA参数图(P图)",
   "level": "l3"
  },
  "CAP_80bb521e": {
   "en": "FMEA Failure Chain",
   "zh": "FMEA失效链",
   "level": "l3"
  },
  "CAP_83195261": {
   "en": "Failure Effect Identification",
   "zh": "失效影响识别",
   "level": "l3"
  },
  "CAP_86210bba": {
   "en": "FMEA SOD Scoring",
   "zh": "FMEA S/O/D评分",
   "level": "l3"
  },
  "CAP_01a19788": {
   "en": "FMEA Action Priority",
   "zh": "FMEA AP优先级",
   "level": "l3"
  },
  "CAP_2ea64e1a": {
   "en": "FMEA Prevention and Detection Controls",
   "zh": "FMEA预防与探测控制",
   "level": "l3"
  },
  "CAP_737187ef": {
   "en": "FMEA Action Tracking",
   "zh": "FMEA措施跟踪闭环",
   "level": "l3"
  },
  "CAP_ae5dfedf": {
   "en": "FMEA Report Generation",
   "zh": "FMEA报告与文档化",
   "level": "l3"
  },
  "CAP_8c4746cc": {
   "en": "FMEDA BOM Partition",
   "zh": "FMEDA BOM安全分区",
   "level": "l3"
  },
  "CAP_0e267e2a": {
   "en": "FMEDA Safe Dangerous Classification",
   "zh": "FMEDA安全/危险失效分类",
   "level": "l3"
  },
  "CAP_c8ac1afd": {
   "en": "FMEDA Diagnostic Coverage Assessment",
   "zh": "FMEDA诊断覆盖率DC评估",
   "level": "l3"
  },
  "CAP_d5c9c716": {
   "en": "FMEDA Lambda Partition",
   "zh": "FMEDA失效率λS/λDD/λDU拆分",
   "level": "l3"
  },
  "CAP_84943610": {
   "en": "FMEDA Multipoint Failure Analysis",
   "zh": "FMEDA多点潜伏失效分析",
   "level": "l3"
  },
  "CAP_27fba9e8": {
   "en": "FMEDA Safety Mechanism Improvement",
   "zh": "FMEDA安全机制改进",
   "level": "l3"
  },
  "CAP_be9a7c7b": {
   "en": "Bimanual Imitation Food Cutting Pipeline",
   "zh": "双臂模仿学习食材切割管线",
   "level": "l2"
  },
  "CAP_06db73cc": {
   "en": "Multi-view Real-time Observation Capture",
   "zh": "多视角实时观测采集",
   "level": "l3"
  },
  "CAP_9b3ac97d": {
   "en": "Bimanual Coordinated Cutting Execution",
   "zh": "双臂协调切割执行",
   "level": "l3"
  },
  "CAP_1a7482d0": {
   "en": "Cut Quality Visual Assessment",
   "zh": "切割质量视觉评估",
   "level": "l3"
  },
  "CAP_fa9fa7c4": {
   "en": "Differentiable Simulation Food Cutting Optimization Pipeline",
   "zh": "可微仿真食材切割优化管线",
   "level": "l2"
  },
  "CAP_4f80b3b3": {
   "en": "Differentiable FEM Cutting Scene Construction",
   "zh": "可微切割FEM场景构建",
   "level": "l3"
  },
  "CAP_1963ee70": {
   "en": "Cutting Spring Continuous Damage Model",
   "zh": "Cutting Spring连续损伤模型",
   "level": "l3"
  },
  "CAP_8932e7be": {
   "en": "SDF Continuous Contact Model",
   "zh": "SDF连续接触模型",
   "level": "l3"
  },
  "CAP_5364f738": {
   "en": "Gradient-based Material Parameter Calibration",
   "zh": "梯度材料参数标定",
   "level": "l3"
  },
  "CAP_57562921": {
   "en": "Bayesian Parameter Posterior Inference",
   "zh": "贝叶斯参数后验推断",
   "level": "l3"
  },
  "CAP_4c68dc2f": {
   "en": "Cutting Motion Gradient Optimization",
   "zh": "切割动作梯度优化",
   "level": "l3"
  },
  "CAP_26b985d9": {
   "en": "Optimal Transport Parameter Transfer Across Meshes",
   "zh": "最优传输参数跨mesh迁移",
   "level": "l3"
  },
  "CAP_8721e9c6": {
   "en": "Sim-to-Real Cutting Trajectory Deployment",
   "zh": "Sim-to-Real切割部署",
   "level": "l3"
  },
  "CAP_36ba7c3e": {
   "en": "Force-Tactile Adaptive Food Cutting Pipeline",
   "zh": "力触觉自适应食材切割管线",
   "level": "l2"
  },
  "CAP_663eabc0": {
   "en": "Food Contour Sensing",
   "zh": "食材轮廓感知",
   "level": "l3"
  },
  "CAP_b8b9441b": {
   "en": "Food Material Property Estimation",
   "zh": "食材物性参数估计",
   "level": "l3"
  },
  "CAP_8b6e5f92": {
   "en": "Fracture Mechanics Cutting Force Modeling",
   "zh": "断裂力学切割力建模",
   "level": "l3"
  },
  "CAP_b5583335": {
   "en": "Press Phase Position-Force Hybrid Control",
   "zh": "Press阶段力/位混合控制",
   "level": "l3"
  },
  "CAP_0ed27385": {
   "en": "Push Phase Force Control",
   "zh": "Push阶段力控制",
   "level": "l3"
  },
  "CAP_1589e589": {
   "en": "Slice Phase Position-Force Hybrid Control",
   "zh": "Slice阶段力/位混合控制",
   "level": "l3"
  },
  "CAP_d54c2f8c": {
   "en": "Cutting Phase Automatic Transition",
   "zh": "切割阶段自动切换",
   "level": "l3"
  },
  "CAP_0adf68be": {
   "en": "Cut Completion Detection",
   "zh": "切割完成检测",
   "level": "l3"
  },
  "CAP_5b34a5fe": {
   "en": "Moment-Direction Force-Guided Search",
   "zh": "力矩方向推断式力引导搜索流水线",
   "level": "l2"
  },
  "CAP_ed4740e0": {
   "en": "FT Coordinate Transform",
   "zh": "F/T信号坐标转换",
   "level": "l3"
  },
  "CAP_c4190820": {
   "en": "Moment-Direction Offset Inference",
   "zh": "力矩方向偏移推断",
   "level": "l3"
  },
  "CAP_f83f6a38": {
   "en": "Equivalent-Moment-Arm Offset Estimation",
   "zh": "等效力臂偏移距离估算",
   "level": "l3"
  },
  "CAP_6a8782a4": {
   "en": "Variable-Step Search Adjustment",
   "zh": "变步长微调量计算",
   "level": "l3"
  },
  "CAP_2acf21bd": {
   "en": "RL Force-Guided Search Pipeline",
   "zh": "RL力引导搜索策略学习流水线",
   "level": "l2"
  },
  "CAP_f2f5749f": {
   "en": "RL MDP Modeling for Force Search",
   "zh": "力引导搜索MDP建模",
   "level": "l3"
  },
  "CAP_f76dc058": {
   "en": "Tactile-Guided Search Pipeline",
   "zh": "触觉引导搜索流水线",
   "level": "l2"
  },
  "CAP_0ba06d50": {
   "en": "Contact-Patch Feature Extraction",
   "zh": "接触斑形态特征提取",
   "level": "l3"
  },
  "CAP_9d6db6f2": {
   "en": "Tactile-Force Fusion Step Estimation",
   "zh": "触觉-力觉融合步长估计",
   "level": "l3"
  },
  "CAP_86ff762d": {
   "en": "Tactile Contact-State Detection",
   "zh": "触觉接触状态检测",
   "level": "l3"
  },
  "CAP_87c3d6f8": {
   "en": "Object-Level Internal/External Force Decomposition",
   "zh": "物体级内外力测量分解",
   "level": "l3"
  },
  "CAP_538ef701": {
   "en": "Cable Tension Allocation",
   "zh": "绳索拉力分配",
   "level": "l3"
  },
  "CAP_36b182e2": {
   "en": "Static Load Allocation",
   "zh": "静态负载分配",
   "level": "l3"
  },
  "CAP_62e1bad7": {
   "en": "Cable Structure Matrix Construction",
   "zh": "缆绳结构矩阵构建",
   "level": "l3"
  },
  "CAP_6f3c210a": {
   "en": "Wrench-Feasibility Check",
   "zh": "Wrench可行域判定",
   "level": "l3"
  },
  "CAP_eae05ee3": {
   "en": "Winch/UAV Tension Command Dispatch",
   "zh": "绞盘/UAV张力指令下发",
   "level": "l3"
  },
  "CAP_368970a2": {
   "en": "Analytical GWS Convex Hull Force-Closure Verification",
   "zh": "解析GWS凸包力封闭验证与质量评估",
   "level": "l2"
  },
  "CAP_eb7a45c0": {
   "en": "GWS Convex Hull Construction",
   "zh": "抓取力旋量空间凸包构造",
   "level": "l3"
  },
  "CAP_cbedb742": {
   "en": "Optimization-Driven Force-Closure Grasp Synthesis",
   "zh": "优化驱动力封闭抓取合成",
   "level": "l2"
  },
  "CAP_9876cfe8": {
   "en": "Eigengrasp Dimensionality Reduction",
   "zh": "Eigengrasp降维",
   "level": "l3"
  },
  "CAP_81a07075": {
   "en": "Eigengrasp Simulated Annealing Optimization",
   "zh": "本征抓取子空间模拟退火优化",
   "level": "l3"
  },
  "CAP_bab579c9": {
   "en": "SDP-Based Force Closure Grasp Point Optimization",
   "zh": "SDP力封闭抓取点优化",
   "level": "l3"
  },
  "CAP_d9b152d2": {
   "en": "Differentiable SDF Contact and Penetration Computation",
   "zh": "可微SDF接触与穿模计算",
   "level": "l3"
  },
  "CAP_e3d2fb7c": {
   "en": "Differentiable Force Closure Estimation",
   "zh": "可微力闭合估计",
   "level": "l3"
  },
  "CAP_7b6c2c88": {
   "en": "Grasp Energy Optimization with MALA",
   "zh": "基于MALA的抓取能量优化",
   "level": "l3"
  },
  "CAP_329ede7d": {
   "en": "Grasp Dataset Export",
   "zh": "抓取数据集导出",
   "level": "l3"
  },
  "CAP_b2a3bcdb": {
   "en": "Adaptive Admittance Contact Force Regulation",
   "zh": "自适应导纳接触力调节",
   "level": "l3"
  },
  "CAP_5a242ea7": {
   "en": "EMG Co-Contraction Driven Admittance Scaling",
   "zh": "EMG共激活驱动导纳缩放",
   "level": "l3"
  },
  "CAP_581a6bfb": {
   "en": "Force Control Task Configuration",
   "zh": "力控任务配置",
   "level": "l3"
  },
  "CAP_ab85b881": {
   "en": "Force-Error-Driven Adaptive Damping Law",
   "zh": "力误差驱动自适应阻尼律",
   "level": "l3"
  },
  "CAP_58e908b7": {
   "en": "Variable Impedance Stability Monitoring",
   "zh": "时变阻抗稳定性监控",
   "level": "l3"
  },
  "CAP_5e9e75a9": {
   "en": "Variable Impedance Model Solver",
   "zh": "变阻抗模型求解",
   "level": "l3"
  },
  "CAP_8fa86e63": {
   "en": "Impedance Control Output Computation",
   "zh": "阻抗控制输出计算",
   "level": "l3"
  },
  "CAP_51922afe": {
   "en": "Learning-Based Variable Impedance Parameter Optimization",
   "zh": "学习型变阻抗参数优化",
   "level": "l2"
  },
  "CAP_5c86de16": {
   "en": "RL Exploration Data Collection",
   "zh": "强化学习探索数据采集",
   "level": "l3"
  },
  "CAP_60f213be": {
   "en": "Impedance Learning Cost Function",
   "zh": "阻抗学习成本函数",
   "level": "l3"
  },
  "CAP_2fe0a4fa": {
   "en": "PI2 Variable Impedance Policy Learning",
   "zh": "PI^2变阻抗策略学习",
   "level": "l3"
  },
  "CAP_b3b1577c": {
   "en": "Iterative Learning Impedance Tuning",
   "zh": "迭代学习阻抗调参",
   "level": "l3"
  },
  "CAP_ebf7ec0c": {
   "en": "Bayesian Optimization for Impedance Tuning",
   "zh": "贝叶斯优化阻抗调参",
   "level": "l3"
  },
  "CAP_e5348dfe": {
   "en": "Safe VIC Parameter Projection",
   "zh": "安全变阻抗参数投影",
   "level": "l3"
  },
  "CAP_2481e7e2": {
   "en": "Contact Phase-Scheduled Impedance Tuning",
   "zh": "接触相位调度阻抗调谐",
   "level": "l2"
  },
  "CAP_c4c6c378": {
   "en": "Phase Parameter Configuration",
   "zh": "相位参数配置",
   "level": "l3"
  },
  "CAP_eeaf97e2": {
   "en": "Phase Impedance Parameter Selection",
   "zh": "相位阻抗参数选择",
   "level": "l3"
  },
  "CAP_fc3a94d7": {
   "en": "Impedance Parameter Blending for Phase Transition",
   "zh": "相位切换阻抗参数平滑过渡",
   "level": "l3"
  },
  "CAP_f4d79b87": {
   "en": "Force Safety Monitoring",
   "zh": "力安全监控",
   "level": "l3"
  },
  "CAP_35d10263": {
   "en": "Phase-Scheduled Impedance Execution",
   "zh": "相位调度阻抗执行",
   "level": "l3"
  },
  "CAP_bf08cc73": {
   "en": "Explicit PI Force Feedback Dual-Loop Control",
   "zh": "显式PI力反馈内外环控制",
   "level": "l2"
  },
  "CAP_9a1235b7": {
   "en": "Force Loop Anti-Windup and Force Clamping",
   "zh": "力环Anti-Windup与力限幅",
   "level": "l3"
  },
  "CAP_8428bb1d": {
   "en": "Force Threshold Safety Guard",
   "zh": "力阈值安全防护",
   "level": "l3"
  },
  "CAP_582765d7": {
   "en": "DOB-Based Robust Force Control",
   "zh": "DOB鲁棒力反馈控制",
   "level": "l2"
  },
  "CAP_45c107ca": {
   "en": "Nominal Inverse Model Construction",
   "zh": "名义逆模型构建",
   "level": "l3"
  },
  "CAP_bded52bd": {
   "en": "Bilateral Teleoperation Force Feedback",
   "zh": "双边遥操作力反馈控制",
   "level": "l2"
  },
  "CAP_cd5d85c8": {
   "en": "Wave Impedance/Damping Gain Scheduling",
   "zh": "波阻抗阻尼增益调度",
   "level": "l3"
  },
  "CAP_a704b087": {
   "en": "Wave Variable Scattering Encoding",
   "zh": "波变量散射编码",
   "level": "l3"
  },
  "CAP_de84cdcc": {
   "en": "Wave Variable Inverse Decoding",
   "zh": "波变量逆变换解码",
   "level": "l3"
  },
  "CAP_5ee5745d": {
   "en": "Wave Variable Position Drift Correction",
   "zh": "波变量位置漂移修正",
   "level": "l3"
  },
  "CAP_59fdecd8": {
   "en": "Wave Impedance Matching and Reflection Suppression",
   "zh": "波阻抗匹配与波反射抑制",
   "level": "l3"
  },
  "CAP_90d61af9": {
   "en": "Learning-Based Force Feedback Control",
   "zh": "学习型力反馈控制",
   "level": "l2"
  },
  "CAP_97f879ad": {
   "en": "1 kHz Desktop Force-feedback Device Rendering",
   "zh": "1kHz桌面力反馈设备渲染",
   "level": "l3"
  },
  "CAP_40a76f81": {
   "en": "Force Signal Conditioning Pipeline",
   "zh": "力信号调理流水线",
   "level": "l3"
  },
  "CAP_48a54530": {
   "en": "Haptic Device Gravity Compensation",
   "zh": "力反馈设备重力补偿",
   "level": "l3"
  },
  "CAP_714d329f": {
   "en": "Passivity-Guaranteed Bilateral Teleoperation Pipeline",
   "zh": "无源性保稳双边遥操作流水线",
   "level": "l3"
  },
  "CAP_26394904": {
   "en": "Impedance Control Law (Torque-Based)",
   "zh": "阻抗控制律（力矩型）",
   "level": "l3"
  },
  "CAP_e17c7d90": {
   "en": "EPM Pulse Magnetization Control",
   "zh": "电永磁充退磁脉冲控制",
   "level": "l2"
  },
  "CAP_4d409403": {
   "en": "Preset Impedance Momentum Pulse Assembly",
   "zh": "预设阻抗动量开环力脉冲装配",
   "level": "l2"
  },
  "CAP_dafd98d8": {
   "en": "Force Pulse Parameter Planning",
   "zh": "力脉冲参数规划",
   "level": "l3"
  },
  "CAP_59f74002": {
   "en": "Impedance Pulse Shaping",
   "zh": "阻抗力脉冲成形",
   "level": "l3"
  },
  "CAP_70ae1fcf": {
   "en": "Seating Confirmation via Force/Displacement",
   "zh": "力/位移双阈值到位确认",
   "level": "l3"
  },
  "CAP_47988581": {
   "en": "Impedance Recovery and Retreat",
   "zh": "阻抗恢复与撤离",
   "level": "l3"
  },
  "CAP_0cb50c4a": {
   "en": "Dynamic Striking and Percussive Manipulation",
   "zh": "动态敲击与冲击式操作",
   "level": "l2"
  },
  "CAP_fd69562f": {
   "en": "Strike Motion Planning",
   "zh": "打击运动规划",
   "level": "l3"
  },
  "CAP_b1d1fbdc": {
   "en": "High-Speed Acceleration Trajectory Tracking",
   "zh": "高速加速轨迹跟踪",
   "level": "l3"
  },
  "CAP_ab8e958c": {
   "en": "Impact Impulse Delivery",
   "zh": "碰撞冲量传递",
   "level": "l3"
  },
  "CAP_a5e44381": {
   "en": "Post-Impact Rebound and Recovery Control",
   "zh": "碰撞后反弹与恢复控制",
   "level": "l3"
  },
  "CAP_84203941": {
   "en": "Strike Effect Evaluation",
   "zh": "打击效果评估",
   "level": "l3"
  },
  "CAP_7252674c": {
   "en": "Rhythmic Strike Sequencing",
   "zh": "节奏性打击时序控制",
   "level": "l3"
  },
  "CAP_99c632aa": {
   "en": "EPM Magnetization State Detection",
   "zh": "EPM磁化状态检测",
   "level": "l3"
  },
  "CAP_c32f3237": {
   "en": "EPM MAG Pulse Driving",
   "zh": "EPM充磁脉冲驱动",
   "level": "l3"
  },
  "CAP_11deb45f": {
   "en": "EPM DEMAG Pulse Driving",
   "zh": "EPM退磁脉冲驱动",
   "level": "l3"
  },
  "CAP_6187c2e9": {
   "en": "EPM Magnetic Force Confirmation",
   "zh": "EPM磁力状态确认",
   "level": "l3"
  },
  "CAP_ce66f0e4": {
   "en": "EPM Zero-Power State Holding",
   "zh": "EPM零功耗状态保持",
   "level": "l3"
  },
  "CAP_0e2785e5": {
   "en": "EPM Safety Monitoring",
   "zh": "EPM安全监控",
   "level": "l3"
  },
  "CAP_3a3b3734": {
   "en": "Cartesian Impedance Selection Matrix Mapping",
   "zh": "笛卡尔阻抗选择矩阵映射",
   "level": "l3"
  },
  "CAP_34c69024": {
   "en": "Dual-Channel Safety IO Sampling and Debounce",
   "zh": "安全IO信号双通道采集与去抖",
   "level": "l3"
  },
  "CAP_c78ade7e": {
   "en": "STO PWM Pulse Blocking and Drive Cutoff",
   "zh": "STO脉冲封锁与驱动切断",
   "level": "l3"
  },
  "CAP_60289281": {
   "en": "Safe State Latching and Manual Reset",
   "zh": "安全状态锁定与人工复位",
   "level": "l3"
  },
  "CAP_286e4d07": {
   "en": "Zero-Gravity Gravity-Compensation Mode Switch",
   "zh": "零重力/重力补偿模式切换",
   "level": "l3"
  },
  "CAP_543dcd59": {
   "en": "Speed-Limited Retraction Trajectory Generation",
   "zh": "受限速度回退轨迹生成",
   "level": "l3"
  },
  "CAP_16b340f5": {
   "en": "Retraction Execution and Termination Monitoring",
   "zh": "回退执行与终止条件监控",
   "level": "l3"
  },
  "CAP_aaeecbf0": {
   "en": "Wrist Six-Axis F/T Sensor Direct Sensing Pipeline",
   "zh": "腕部六维力/力矩传感器直接测量流水线",
   "level": "l2"
  },
  "CAP_2922bf3d": {
   "en": "F/T Sensor Hardware Configuration and Communication",
   "zh": "F/T传感器硬件配置与通信建立",
   "level": "l3"
  },
  "CAP_e472d305": {
   "en": "F/T Sensor Coordinate Frame Calibration",
   "zh": "F/T传感器坐标系标定",
   "level": "l3"
  },
  "CAP_b9b5f11e": {
   "en": "Tool Payload Gravity Model Loading",
   "zh": "工具负载重力模型加载",
   "level": "l3"
  },
  "CAP_668007b8": {
   "en": "Real-time Tool Gravity Compensation for F/T Sensor",
   "zh": "F/T传感器实时工具重力补偿",
   "level": "l3"
  },
  "CAP_5d7c8482": {
   "en": "Wrench Coordinate Transformation",
   "zh": "Wrench坐标系变换",
   "level": "l3"
  },
  "CAP_2cc80672": {
   "en": "Compensated Wrench Publication (WrenchStamped)",
   "zh": "补偿后Wrench消息发布",
   "level": "l3"
  },
  "CAP_ca591caa": {
   "en": "Joint Torque Residual-Based External Force Estimation Pipeline",
   "zh": "关节力矩残差外力估计流水线",
   "level": "l2"
  },
  "CAP_cfa1e6bb": {
   "en": "Joint Torque Sensor Data Reading",
   "zh": "关节力矩传感器数据读取",
   "level": "l3"
  },
  "CAP_91c17d1e": {
   "en": "Joint Friction Compensation",
   "zh": "关节摩擦力补偿",
   "level": "l3"
  },
  "CAP_964c870f": {
   "en": "Generalized Momentum Observer for External Torque Estimation",
   "zh": "广义动量观测器外力矩估计",
   "level": "l3"
  },
  "CAP_bdca1045": {
   "en": "Jacobian Damped Pseudoinverse for Wrench Mapping",
   "zh": "雅可比阻尼伪逆wrench映射",
   "level": "l3"
  },
  "CAP_6999cdfd": {
   "en": "Joint-Based External Wrench Publication",
   "zh": "关节估计外力wrench发布",
   "level": "l3"
  },
  "CAP_556dc4bd": {
   "en": "Sensorless Motor Current-Based External Force Estimation Pipeline",
   "zh": "无传感器电机电流外力估计流水线",
   "level": "l2"
  },
  "CAP_a6cc7fd2": {
   "en": "Motor Current Reading from Servo Drives",
   "zh": "伺服驱动器电机电流读取",
   "level": "l3"
  },
  "CAP_082156c3": {
   "en": "Motor Torque Computation from Current",
   "zh": "电机电流-力矩转换",
   "level": "l3"
  },
  "CAP_60390730": {
   "en": "Gear Transmission Model for Joint Torque Estimation",
   "zh": "减速器传动模型关节力矩推算",
   "level": "l3"
  },
  "CAP_abffe622": {
   "en": "Sensorless Joint Friction Identification and Compensation",
   "zh": "无传感器关节摩擦力辨识与补偿",
   "level": "l3"
  },
  "CAP_f33f9017": {
   "en": "Disturbance Observer (DOB) for Sensorless Force Estimation",
   "zh": "扰动观测器/动量观测器无传感器外力估计",
   "level": "l3"
  },
  "CAP_29cb9919": {
   "en": "Collision Threshold Decision and Sensitivity Tuning",
   "zh": "碰撞阈值判决与灵敏度调节",
   "level": "l3"
  },
  "CAP_58f740b8": {
   "en": "Sensorless Collision State and Coarse Wrench Publication",
   "zh": "无传感器碰撞状态与粗估wrench发布",
   "level": "l3"
  },
  "CAP_4bdd65e1": {
   "en": "Per-Axis Dual-Threshold Force Monitor",
   "zh": "六轴双级力阈值监测",
   "level": "l3"
  },
  "CAP_73c5c0a2": {
   "en": "F/T Contact Event Type Classification",
   "zh": "F/T接触事件类型分类",
   "level": "l3"
  },
  "CAP_7f6520b1": {
   "en": "Force Threshold Event Logging and Response Dispatch",
   "zh": "力阈值事件记录与响应调度",
   "level": "l3"
  },
  "CAP_a7e7beb6": {
   "en": "Joint Torque Sensor External Torque Monitoring Pipeline",
   "zh": "关节力矩传感外部力矩监测流水线",
   "level": "l2"
  },
  "CAP_2ce1caab": {
   "en": "Direct Joint Torque External Torque Estimation",
   "zh": "关节力矩直接外部力矩估计",
   "level": "l3"
  },
  "CAP_cf8eed9e": {
   "en": "Per-Joint Torque Threshold Gate",
   "zh": "关节力矩逐轴阈值门控",
   "level": "l3"
  },
  "CAP_3a440143": {
   "en": "Dual-Channel F/T Signal Cross-Fault Diagnosis",
   "zh": "双通道F/T信号交叉故障诊断",
   "level": "l3"
  },
  "CAP_7b789a89": {
   "en": "PL d Cat 3 Safety Rating Calculation and Validation",
   "zh": "PL d Cat 3安全评级计算与验证",
   "level": "l3"
  },
  "CAP_a41536b2": {
   "en": "Native Force Torque Sensor Plugin Simulation",
   "zh": "物理引擎原生力/力矩传感器仿真",
   "level": "l2"
  },
  "CAP_76647c0b": {
   "en": "FT Sensor Mounting and Configuration",
   "zh": "力/力矩传感器挂载与配置",
   "level": "l3"
  },
  "CAP_0a9d4fc4": {
   "en": "Physics Constraint Force Reading",
   "zh": "物理约束反力读取",
   "level": "l3"
  },
  "CAP_704d2a8f": {
   "en": "Simple Gaussian Noise Injection",
   "zh": "简单高斯噪声注入",
   "level": "l3"
  },
  "CAP_fc4156e8": {
   "en": "FT Sensor Frame Transformation",
   "zh": "力/力矩传感器坐标系变换",
   "level": "l3"
  },
  "CAP_08f627d8": {
   "en": "WrenchStamped Message Publishing",
   "zh": "WrenchStamped消息发布",
   "level": "l3"
  },
  "CAP_7abc1017": {
   "en": "Contact Force Synthesis Wrench Computation",
   "zh": "接触力合成与末端Wrench计算",
   "level": "l2"
  },
  "CAP_561e3ad4": {
   "en": "Contact Point Data Acquisition",
   "zh": "接触点数据获取",
   "level": "l3"
  },
  "CAP_3b3b45d9": {
   "en": "End-Effector Contact Filtering",
   "zh": "末端接触点筛选",
   "level": "l3"
  },
  "CAP_8a674e3e": {
   "en": "Contact Force Vector Extraction",
   "zh": "接触力向量提取",
   "level": "l3"
  },
  "CAP_02d7ae67": {
   "en": "Wrench Summation from Contacts",
   "zh": "接触点Wrench合成",
   "level": "l3"
  },
  "CAP_35907185": {
   "en": "Realistic FT Model with DR",
   "zh": "高保真FT传感器模型与域随机化",
   "level": "l2"
  },
  "CAP_44ea21c8": {
   "en": "FT Sensor Crosstalk Matrix",
   "zh": "力/力矩传感器轴间串扰建模",
   "level": "l3"
  },
  "CAP_eaebceaa": {
   "en": "FT Sensor Bias Random Walk",
   "zh": "力/力矩传感器零偏随机游走",
   "level": "l3"
  },
  "CAP_3c59190b": {
   "en": "Noise with Bias Walk Injection",
   "zh": "带偏置漂移噪声注入",
   "level": "l3"
  },
  "CAP_07bbe574": {
   "en": "FT Sensor ADC Quantization and Saturation",
   "zh": "力/力矩传感器ADC量化与饱和",
   "level": "l3"
  },
  "CAP_51574fca": {
   "en": "Sensor Delay Simulation",
   "zh": "传感器延迟模拟",
   "level": "l3"
  },
  "CAP_367634c3": {
   "en": "Model Checking Formal Modeling",
   "zh": "模型检验形式化建模",
   "level": "l2"
  },
  "CAP_881cba09": {
   "en": "Timed Automata Modeling",
   "zh": "时间自动机建模",
   "level": "l3"
  },
  "CAP_fd44b275": {
   "en": "Temporal Logic Property Encoding",
   "zh": "时序逻辑属性编码",
   "level": "l3"
  },
  "CAP_135ea108": {
   "en": "State Space Abstraction and Reduction",
   "zh": "状态空间抽象与约简",
   "level": "l3"
  },
  "CAP_8ed0543a": {
   "en": "Model Checking Execution and Analysis",
   "zh": "模型检验执行与分析",
   "level": "l2"
  },
  "CAP_fabc9b48": {
   "en": "Exhaustive State Space Exploration",
   "zh": "穷尽状态空间搜索",
   "level": "l3"
  },
  "CAP_3ce588eb": {
   "en": "Verification Verdict Analysis",
   "zh": "验证判定分析",
   "level": "l3"
  },
  "CAP_53a82d79": {
   "en": "Counterexample Trace Analysis",
   "zh": "反例路径分析与调试",
   "level": "l3"
  },
  "CAP_c6b6d55c": {
   "en": "Verification Evidence Collection",
   "zh": "验证证据收集",
   "level": "l3"
  },
  "CAP_771253de": {
   "en": "Probabilistic Safety Quantification",
   "zh": "概率安全量化",
   "level": "l3"
  },
  "CAP_cb18e41f": {
   "en": "Formal Verification Certification Report",
   "zh": "形式化验证认证报告编制",
   "level": "l3"
  },
  "CAP_e5743687": {
   "en": "Reachability Modeling and Setup",
   "zh": "可达性建模与配置",
   "level": "l2"
  },
  "CAP_5c566b70": {
   "en": "Hybrid System ODE Modeling",
   "zh": "混成系统ODE建模",
   "level": "l3"
  },
  "CAP_4de814f4": {
   "en": "Set Representation and Algorithm Selection",
   "zh": "集合表示与算法选择",
   "level": "l3"
  },
  "CAP_eddcc145": {
   "en": "Flowpipe Computation and Safety Check",
   "zh": "流管道计算与安全判定",
   "level": "l2"
  },
  "CAP_d8352e8d": {
   "en": "Flowpipe Set Propagation",
   "zh": "流管道集合传播",
   "level": "l3"
  },
  "CAP_62974d8c": {
   "en": "Reachset-Unsafe Intersection Check",
   "zh": "可达集-不安全集相交检测",
   "level": "l3"
  },
  "CAP_4ab61315": {
   "en": "Safety Verdict Analysis",
   "zh": "安全判定分析",
   "level": "l3"
  },
  "CAP_ee270076": {
   "en": "Counterexample Simulation Validation",
   "zh": "反例仿真验证",
   "level": "l3"
  },
  "CAP_c9177183": {
   "en": "Safety Guarantee Validation",
   "zh": "安全保证有效性验证",
   "level": "l3"
  },
  "CAP_ff1ec45e": {
   "en": "Reachability Safety Report Generation",
   "zh": "可达性安全报告编制",
   "level": "l3"
  },
  "CAP_98367eb0": {
   "en": "dL Modeling and Invariant Design",
   "zh": "微分动态逻辑建模与不变式设计",
   "level": "l2"
  },
  "CAP_e43b0bb9": {
   "en": "Hybrid Program Modeling in dL",
   "zh": "dL混合程序建模",
   "level": "l3"
  },
  "CAP_2b78b900": {
   "en": "dL Safety Property Specification",
   "zh": "dL安全属性规约",
   "level": "l3"
  },
  "CAP_a45f46d0": {
   "en": "Differential Invariant Generation",
   "zh": "微分不变式与循环不变式生成",
   "level": "l3"
  },
  "CAP_057c857e": {
   "en": "Tactical Theorem Proving",
   "zh": "战术式定理证明",
   "level": "l2"
  },
  "CAP_9e5c1f98": {
   "en": "Bellerophon Tactical Proof Construction",
   "zh": "Bellerophon战术证明构造",
   "level": "l3"
  },
  "CAP_9f7444c4": {
   "en": "Proof Goal Decomposition and Lemma Discovery",
   "zh": "证明目标分解与引理发现",
   "level": "l3"
  },
  "CAP_0c921a84": {
   "en": "Real Arithmetic Quantifier Elimination",
   "zh": "实数算术量词消去",
   "level": "l3"
  },
  "CAP_8dceb0ac": {
   "en": "LCF Proof Certificate Validation",
   "zh": "LCF证明证书验证",
   "level": "l3"
  },
  "CAP_d84aafc4": {
   "en": "Proof Certificate and Monitor Synthesis",
   "zh": "证明证书与监控合成",
   "level": "l2"
  },
  "CAP_d2120673": {
   "en": "ModelPlex Runtime Monitor Synthesis",
   "zh": "ModelPlex运行时监控合成",
   "level": "l3"
  },
  "CAP_0c84989a": {
   "en": "Proof Certificate and Safety Case Documentation",
   "zh": "证明证书与安全论证文档",
   "level": "l3"
  },
  "CAP_f1004def": {
   "en": "Runtime Shield Offline Synthesis",
   "zh": "运行时护盾离线合成",
   "level": "l2"
  },
  "CAP_e023e1bb": {
   "en": "Formal Runtime Monitor Synthesis",
   "zh": "形式化运行时监控器合成",
   "level": "l3"
  },
  "CAP_2b72b74e": {
   "en": "Safety Baseline Controller Design",
   "zh": "安全基线控制器设计",
   "level": "l3"
  },
  "CAP_b7898c60": {
   "en": "Shield Module Integration",
   "zh": "安全护盾模块集成",
   "level": "l3"
  },
  "CAP_74e7292d": {
   "en": "Online Safety Monitoring and Intervention",
   "zh": "在线安全监控与干预",
   "level": "l2"
  },
  "CAP_d93b031f": {
   "en": "Compliance Decision Logic",
   "zh": "合规性判定决策",
   "level": "l3"
  },
  "CAP_75a00d1d": {
   "en": "Nominal Control Passthrough",
   "zh": "标称控制直通",
   "level": "l3"
  },
  "CAP_5c4f3677": {
   "en": "Safety Intervention Trigger",
   "zh": "安全干预触发",
   "level": "l3"
  },
  "CAP_b88b0ef3": {
   "en": "Safe Fallback Control Execution",
   "zh": "安全回退控制执行",
   "level": "l3"
  },
  "CAP_7c7b3d99": {
   "en": "Control Output Arbitration and Dispatch",
   "zh": "控制输出仲裁与分发",
   "level": "l3"
  },
  "CAP_625cbe80": {
   "en": "Violation Logging and Offline Feedback",
   "zh": "违规日志记录与离线反馈",
   "level": "l3"
  },
  "CAP_e5463c4e": {
   "en": "Leader-Follower Formation Keeping",
   "zh": "领航-跟随编队保持",
   "level": "l2"
  },
  "CAP_3a9a57aa": {
   "en": "Leader Pose Acquisition",
   "zh": "领航者位姿获取",
   "level": "l3"
  },
  "CAP_4c2452a9": {
   "en": "Leader Path Following Control",
   "zh": "领航者路径跟踪控制",
   "level": "l3"
  },
  "CAP_fa351974": {
   "en": "Leader State Broadcast",
   "zh": "领航者状态广播",
   "level": "l3"
  },
  "CAP_00f6ac2c": {
   "en": "Relative Pose Computation (Leader-Follower)",
   "zh": "相对位姿计算（领航-跟随）",
   "level": "l3"
  },
  "CAP_83fa4ec6": {
   "en": "Formation Error Computation (Leader-Follower)",
   "zh": "编队误差计算（领航-跟随）",
   "level": "l3"
  },
  "CAP_03412b5f": {
   "en": "PID Formation Feedback Control",
   "zh": "PID编队反馈控制",
   "level": "l3"
  },
  "CAP_90fe8842": {
   "en": "Velocity Safety Saturation",
   "zh": "速度安全限速",
   "level": "l3"
  },
  "CAP_7531de43": {
   "en": "Virtual Structure Formation Keeping",
   "zh": "虚拟结构编队保持",
   "level": "l2"
  },
  "CAP_0d850a7d": {
   "en": "Formation Geometry Definition",
   "zh": "编队几何构型定义",
   "level": "l3"
  },
  "CAP_6144ac06": {
   "en": "Virtual Leader Trajectory Generation",
   "zh": "虚拟领航点轨迹生成",
   "level": "l3"
  },
  "CAP_72290b88": {
   "en": "Virtual Target Point Computation",
   "zh": "虚拟目标点计算",
   "level": "l3"
  },
  "CAP_9bc71217": {
   "en": "Virtual Structure State Consensus",
   "zh": "虚拟结构状态一致性同步",
   "level": "l3"
  },
  "CAP_6661c319": {
   "en": "Tracking Error Computation (Virtual Structure)",
   "zh": "跟踪误差计算（虚拟结构）",
   "level": "l3"
  },
  "CAP_d9c95384": {
   "en": "Feedback Linearization Tracking Control",
   "zh": "反馈线性化跟踪控制",
   "level": "l3"
  },
  "CAP_2e765bc3": {
   "en": "Rigidity Constraint Projection",
   "zh": "刚性约束投影",
   "level": "l3"
  },
  "CAP_4f204aad": {
   "en": "Potential Field Formation Keeping",
   "zh": "人工势场编队保持",
   "level": "l2"
  },
  "CAP_4b8da9d1": {
   "en": "Navigation Goal Acquisition",
   "zh": "导航目标获取",
   "level": "l3"
  },
  "CAP_0b3ecd8b": {
   "en": "Desired Formation Position Calculation",
   "zh": "期望编队位置计算",
   "level": "l3"
  },
  "CAP_730b952e": {
   "en": "Attractive Potential Construction",
   "zh": "吸引势场构建",
   "level": "l3"
  },
  "CAP_bdf7f46d": {
   "en": "Neighbor Position Sensing",
   "zh": "邻居位置感知",
   "level": "l3"
  },
  "CAP_1f413853": {
   "en": "Obstacle Distance Sensing",
   "zh": "障碍物距离感知",
   "level": "l3"
  },
  "CAP_4088fd28": {
   "en": "Repulsive Potential Construction",
   "zh": "排斥势场构建",
   "level": "l3"
  },
  "CAP_ff30d425": {
   "en": "Local Minima Detection",
   "zh": "局部极小值检测",
   "level": "l3"
  },
  "CAP_abc394f3": {
   "en": "Potential Force Summation",
   "zh": "势场合力计算",
   "level": "l3"
  },
  "CAP_7b338d68": {
   "en": "Local Minima Escape",
   "zh": "局部极小值逃逸",
   "level": "l3"
  },
  "CAP_8a4e50e3": {
   "en": "Kinematic Prediction MPC Avoidance",
   "zh": "运动学预测MPC避障",
   "level": "l2"
  },
  "CAP_b589d1e5": {
   "en": "Obstacle Avoidance via SDF in MPCC",
   "zh": "MPCC内SDF障碍规避",
   "level": "l3"
  },
  "CAP_387585a7": {
   "en": "Multi-Strategy Cascaded MPC Coordination",
   "zh": "多策略级联MPC协调",
   "level": "l3"
  },
  "CAP_1f021151": {
   "en": "Obstacle Repulsion (β-agent)",
   "zh": "障碍物排斥（β-agent）",
   "level": "l3"
  },
  "CAP_a1bb8aba": {
   "en": "Composite Potential Field Design",
   "zh": "复合势场设计",
   "level": "l3"
  },
  "CAP_dbdb89a8": {
   "en": "Formation Reconfiguration with Collision Avoidance",
   "zh": "含避碰的编队重构",
   "level": "l3"
  },
  "CAP_4c4ef7c1": {
   "en": "Optimal Assignment Formation Reconfiguration",
   "zh": "最优分配编队重构",
   "level": "l2"
  },
  "CAP_66bd18ca": {
   "en": "Target Formation Definition",
   "zh": "目标编队定义",
   "level": "l3"
  },
  "CAP_d92a9881": {
   "en": "Hungarian Algorithm Assignment",
   "zh": "匈牙利算法最优分配",
   "level": "l3"
  },
  "CAP_62354d58": {
   "en": "Distributed Auction Assignment",
   "zh": "分布式拍卖分配",
   "level": "l3"
  },
  "CAP_869b9bd9": {
   "en": "Trajectory Feasibility Check",
   "zh": "轨迹可行性检查",
   "level": "l3"
  },
  "CAP_085403cd": {
   "en": "Trajectory Temporal Coordination",
   "zh": "轨迹时间协调",
   "level": "l3"
  },
  "CAP_08fcf97f": {
   "en": "Reconfiguration Trajectory Execution",
   "zh": "重构轨迹执行",
   "level": "l3"
  },
  "CAP_385d22e8": {
   "en": "Reconfiguration Convergence Verification",
   "zh": "重构收敛验证",
   "level": "l3"
  },
  "CAP_7e9bf443": {
   "en": "Reconfiguration Replanning Trigger",
   "zh": "重构重规划触发",
   "level": "l3"
  },
  "CAP_18864a14": {
   "en": "Rigidity-Preserving Formation Reconfiguration",
   "zh": "刚性保持编队重构",
   "level": "l2"
  },
  "CAP_a6e36790": {
   "en": "Formation Graph Construction",
   "zh": "编队图构建",
   "level": "l3"
  },
  "CAP_b6d7b14f": {
   "en": "Rigidity Matrix Computation",
   "zh": "刚性矩阵计算",
   "level": "l3"
  },
  "CAP_fd1a2940": {
   "en": "Target Rigidity Encoding",
   "zh": "目标刚性编码",
   "level": "l3"
  },
  "CAP_9e1c6c3e": {
   "en": "Stress Matrix Control Law",
   "zh": "应力矩阵控制律",
   "level": "l3"
  },
  "CAP_15408c03": {
   "en": "Distance Constraint Maintenance",
   "zh": "距离约束维持",
   "level": "l3"
  },
  "CAP_04cca5af": {
   "en": "Connectivity Preservation",
   "zh": "连通性保持",
   "level": "l3"
  },
  "CAP_9fff0e56": {
   "en": "Shape Convergence Check",
   "zh": "形状收敛检查",
   "level": "l3"
  },
  "CAP_b959aa7f": {
   "en": "Rigidity Verification",
   "zh": "刚性验证",
   "level": "l3"
  },
  "CAP_7c2688b2": {
   "en": "Rigid Stabilization",
   "zh": "刚性稳定化",
   "level": "l3"
  },
  "CAP_e66e942f": {
   "en": "Virtual Structure APF Reconfiguration",
   "zh": "虚拟结构/势场编队重构",
   "level": "l2"
  },
  "CAP_c6a769ae": {
   "en": "Virtual Structure Definition",
   "zh": "虚拟结构定义",
   "level": "l3"
  },
  "CAP_9d1530aa": {
   "en": "Target Morph Generation",
   "zh": "目标形态生成",
   "level": "l3"
  },
  "CAP_4647bbd4": {
   "en": "Virtual Structure Morphing",
   "zh": "虚拟结构变形",
   "level": "l3"
  },
  "CAP_d8725a18": {
   "en": "Potential Gradient Computation",
   "zh": "势场梯度计算",
   "level": "l3"
  },
  "CAP_fd6ae3c6": {
   "en": "Force Summation and Velocity Command",
   "zh": "力合成与速度指令",
   "level": "l3"
  },
  "CAP_e3ef0ac6": {
   "en": "Virtual Structure Tracking",
   "zh": "虚拟结构跟踪",
   "level": "l3"
  },
  "CAP_67733ccd": {
   "en": "Formation Settling Detection",
   "zh": "编队稳定检测",
   "level": "l3"
  },
  "CAP_2eae92d3": {
   "en": "APF Mode Switching",
   "zh": "势场模式切换",
   "level": "l3"
  },
  "CAP_41176323": {
   "en": "MARL-Based Formation Reconfiguration",
   "zh": "基于MARL的编队重构",
   "level": "l2"
  },
  "CAP_c85f8530": {
   "en": "MARL Training Convergence Monitoring",
   "zh": "MARL训练收敛监测",
   "level": "l3"
  },
  "CAP_6253e391": {
   "en": "Local Observation Processing",
   "zh": "局部观测处理",
   "level": "l3"
  },
  "CAP_b403dcef": {
   "en": "Online MARL Adaptation",
   "zh": "在线MARL自适应",
   "level": "l3"
  },
  "CAP_11a5b9ca": {
   "en": "Target Shape Definition",
   "zh": "目标形状定义",
   "level": "l3"
  },
  "CAP_39f56433": {
   "en": "Position/Displacement Error Computation",
   "zh": "位置/位移误差计算",
   "level": "l3"
  },
  "CAP_fcf35680": {
   "en": "Shape Error Monitoring and Switching",
   "zh": "形状误差监控与切换",
   "level": "l3"
  },
  "CAP_75ef007e": {
   "en": "Neighbor Distance Measurement and Filtering",
   "zh": "邻居距离测量与滤波",
   "level": "l3"
  },
  "CAP_7bc51fc0": {
   "en": "SI-to-Unicycle Dynamics Mapping",
   "zh": "单积分器到非完整动力学映射",
   "level": "l3"
  },
  "CAP_bfdfbbc8": {
   "en": "Stress Matrix Computation",
   "zh": "应力矩阵计算",
   "level": "l3"
  },
  "CAP_014663a3": {
   "en": "Nominal Configuration and Leader Selection",
   "zh": "标称队形与领航者配置",
   "level": "l3"
  },
  "CAP_5beb0048": {
   "en": "Leader Affine Command Generation",
   "zh": "领航者仿射指令生成",
   "level": "l3"
  },
  "CAP_48c5b469": {
   "en": "Neighbor Relative Position Sensing",
   "zh": "邻居相对位置感知",
   "level": "l3"
  },
  "CAP_f8a78751": {
   "en": "Affine Shape Error Monitoring",
   "zh": "仿射形状误差监控",
   "level": "l3"
  },
  "CAP_bea6105d": {
   "en": "Affine Formation Maneuver Control",
   "zh": "仿射编队机动控制",
   "level": "l2"
  },
  "CAP_d3701591": {
   "en": "Rigidity-Preserving Formation Split & Merge",
   "zh": "刚性保性编队分合",
   "level": "l2"
  },
  "CAP_e18c6e3b": {
   "en": "Behavior-Based Reactive Formation Split & Merge",
   "zh": "行为反应式编队分合",
   "level": "l2"
  },
  "CAP_8476cafe": {
   "en": "Split-Merge Trigger Detection",
   "zh": "分合触发检测",
   "level": "l3"
  },
  "CAP_fd87ca12": {
   "en": "Formation Topology Perception",
   "zh": "编队拓扑感知",
   "level": "l3"
  },
  "CAP_eae140eb": {
   "en": "Z-link Topology Construction",
   "zh": "Z-链拓扑构建",
   "level": "l3"
  },
  "CAP_d761bc0a": {
   "en": "Inter-agent Collision Avoidance (Transition)",
   "zh": "分合过渡期间智能体避障",
   "level": "l3"
  },
  "CAP_d570f925": {
   "en": "Behavior Weight Blending",
   "zh": "行为权重调合",
   "level": "l3"
  },
  "CAP_ad669f48": {
   "en": "Flocking Connectivity Monitoring",
   "zh": "群体连通性监控",
   "level": "l3"
  },
  "CAP_0c1dc46f": {
   "en": "Contact Wrench Construction",
   "zh": "接触力旋量构建",
   "level": "l3"
  },
  "CAP_28a041ec": {
   "en": "GWS Volume Quality Metric",
   "zh": "GWS体积质量度量",
   "level": "l3"
  },
  "CAP_f9eb8b2f": {
   "en": "Simulated Annealing Search",
   "zh": "模拟退火搜索",
   "level": "l3"
  },
  "CAP_591a6189": {
   "en": "Contact Energy Evaluation",
   "zh": "接触能量评估",
   "level": "l3"
  },
  "CAP_d826e3b9": {
   "en": "MeshLoadingAndNormalEstimation",
   "zh": "Mesh加载与法向估计",
   "level": "l3"
  },
  "CAP_f4382ad5": {
   "en": "PackNet Parameter Isolation",
   "zh": "PackNet参数隔离",
   "level": "l3"
  },
  "CAP_221d7d13": {
   "en": "Gradient Projection Replay",
   "zh": "梯度投影冲突避免",
   "level": "l3"
  },
  "CAP_0ded3477": {
   "en": "Embodied Multimodal Planning",
   "zh": "具身多模态规划",
   "level": "l3"
  },
  "CAP_f389e02e": {
   "en": "Mobile Manipulation Execution",
   "zh": "移动操作执行",
   "level": "l3"
  },
  "CAP_2992ecc3": {
   "en": "Tabletop CL Pipeline Setup",
   "zh": "桌面CL流程构建",
   "level": "l3"
  },
  "CAP_704a59fb": {
   "en": "Tabletop CL Strategy Optimization",
   "zh": "桌面CL策略优化",
   "level": "l2"
  },
  "CAP_c8864a63": {
   "en": "Mobile Manipulation Planning",
   "zh": "移动操作组合规划",
   "level": "l2"
  },
  "CAP_4dfcdb7c": {
   "en": "Mobile Manipulation Execution and Evaluation",
   "zh": "移动操作执行与评估",
   "level": "l2"
  },
  "CAP_2e393bb8": {
   "en": "PEFT Adapter Training",
   "zh": "PEFT适配器训练",
   "level": "l2"
  },
  "CAP_cd033a23": {
   "en": "Contact-Rich Transfer Evaluation",
   "zh": "接触丰富迁移评估",
   "level": "l2"
  },
  "CAP_11f5bcf1": {
   "en": "CL Strategy Selection",
   "zh": "持续学习策略选择",
   "level": "l3"
  },
  "CAP_61446c22": {
   "en": "FWT/BWT Metric Computation",
   "zh": "FWT/BWT指标计算",
   "level": "l3"
  },
  "CAP_42f677c2": {
   "en": "Forward Velocity and Bias Force Pass",
   "zh": "前向速度与偏置力递推",
   "level": "l3"
  },
  "CAP_600f9ebb": {
   "en": "Articulated-Body Inertia Backward Pass",
   "zh": "铰接体惯量反向递推",
   "level": "l3"
  },
  "CAP_160bc5fe": {
   "en": "Forward Acceleration Pass",
   "zh": "前向加速度递推",
   "level": "l3"
  },
  "CAP_99f29bcb": {
   "en": "CRBA-based Forward Dynamics",
   "zh": "CRBA 质量矩阵正动力学求解",
   "level": "l2"
  },
  "CAP_4f90c0a0": {
   "en": "CRBA Bias Force Computation via RNEA",
   "zh": "RNEA 偏置力计算",
   "level": "l3"
  },
  "CAP_91a84138": {
   "en": "Mass Matrix Cholesky Linear Solve",
   "zh": "质量矩阵 Cholesky 线性求解",
   "level": "l3"
  },
  "CAP_d738c1e3": {
   "en": "Constrained Forward Dynamics with Contact",
   "zh": "约束正动力学与接触求解",
   "level": "l2"
  },
  "CAP_525c1727": {
   "en": "Constrained Acceleration Projection",
   "zh": "约束加速度投影校正",
   "level": "l3"
  },
  "CAP_8c3d2576": {
   "en": "Synthetic Communication Benchmark",
   "zh": "合成拓扑通信性能基准",
   "level": "l2"
  },
  "CAP_fd0fb4bd": {
   "en": "Benchmark Tool and Topology Build",
   "zh": "基准工具与拓扑构建",
   "level": "l3"
  },
  "CAP_c5f1e674": {
   "en": "Performance Test Plugin Build",
   "zh": "Performance_Test插件构建",
   "level": "l3"
  },
  "CAP_8f60b6f0": {
   "en": "Test Matrix and Environment Baseline",
   "zh": "测试矩阵设计与环境基线",
   "level": "l3"
  },
  "CAP_8e9d5f83": {
   "en": "Synthetic Topology Definition",
   "zh": "合成节点拓扑定义",
   "level": "l3"
  },
  "CAP_f1b1e84e": {
   "en": "Resource Usage Sampling",
   "zh": "资源使用率采样",
   "level": "l3"
  },
  "CAP_b1b384a5": {
   "en": "Latency Throughput Execution",
   "zh": "延迟与吞吐基准执行",
   "level": "l3"
  },
  "CAP_010d3e31": {
   "en": "ROS2 Application Benchmark Execution",
   "zh": "ROS2应用基准执行",
   "level": "l3"
  },
  "CAP_2f9d7ec0": {
   "en": "Message Reliability Tracking",
   "zh": "消息可靠性追踪与分类",
   "level": "l3"
  },
  "CAP_462506ff": {
   "en": "Application Benchmark Statistics",
   "zh": "应用基准统计聚合",
   "level": "l3"
  },
  "CAP_fed7de09": {
   "en": "Benchmark Visualization and Comparison",
   "zh": "基准可视化与目标对比",
   "level": "l3"
  },
  "CAP_61d21577": {
   "en": "Tracing-Based End-to-End Profiling",
   "zh": "基于内核追踪的端到端性能剖析",
   "level": "l2"
  },
  "CAP_47d8c728": {
   "en": "Pipeline and Tracepoint Design",
   "zh": "流水线与tracepoint设计",
   "level": "l3"
  },
  "CAP_170ec7b4": {
   "en": "Tracing Session Management",
   "zh": "追踪会话管理",
   "level": "l3"
  },
  "CAP_1c53ba12": {
   "en": "CTF Trace Processing",
   "zh": "CTF Trace处理与数据模型构建",
   "level": "l3"
  },
  "CAP_c5dcc837": {
   "en": "Callback Duration and Executor Analysis",
   "zh": "回调时长与执行器分析",
   "level": "l3"
  },
  "CAP_e90b0a65": {
   "en": "End-to-End Latency Decomposition",
   "zh": "端到端延迟分解",
   "level": "l3"
  },
  "CAP_793301ff": {
   "en": "Jitter and Determinism Analysis",
   "zh": "抖动与确定性分析",
   "level": "l3"
  },
  "CAP_45ff2b50": {
   "en": "Bottleneck Report Generation",
   "zh": "瓶颈报告与优化建议",
   "level": "l3"
  },
  "CAP_b28c1b63": {
   "en": "Cross-Platform Reference Benchmark",
   "zh": "跨平台机器人计算参考基准",
   "level": "l2"
  },
  "CAP_3700003b": {
   "en": "Benchmark Category Selection",
   "zh": "基准类别选择",
   "level": "l3"
  },
  "CAP_500f9a3f": {
   "en": "Cross-Embodiment Real-Robot Compute Performance Benchmark",
   "zh": "跨实体真机计算性能基准",
   "level": "l3"
  },
  "CAP_b2545fb8": {
   "en": "Black-box End-to-End Compute Latency Measurement",
   "zh": "黑盒端到端计算延迟测量",
   "level": "l3"
  },
  "CAP_dfb65723": {
   "en": "Grey-box Internal State Tracing Benchmark",
   "zh": "灰盒内部状态追踪基准",
   "level": "l3"
  },
  "CAP_05d542cd": {
   "en": "Throughput and Resource Measurement",
   "zh": "吞吐量与资源指标测量",
   "level": "l3"
  },
  "CAP_f95fe2f2": {
   "en": "Tracing-Driven Pipeline End-to-End Benchmark",
   "zh": "追踪驱动的流水线端到端基准",
   "level": "l3"
  },
  "CAP_ccb9af0f": {
   "en": "Node Base Class Selection",
   "zh": "节点基类选择与接口设计",
   "level": "l2"
  },
  "CAP_4034264d": {
   "en": "Node Type Selection",
   "zh": "节点基类选型决策",
   "level": "l3"
  },
  "CAP_424409d6": {
   "en": "Node Interface Declaration",
   "zh": "通信端口与参数声明规范",
   "level": "l3"
  },
  "CAP_470a3b1e": {
   "en": "Composable Node Registration",
   "zh": "组件注册宏与pluginlib导出",
   "level": "l3"
  },
  "CAP_5a89008f": {
   "en": "Container Executor Selection",
   "zh": "容器executor选型",
   "level": "l3"
  },
  "CAP_c4f829c1": {
   "en": "Intra-process Zero-Copy Config",
   "zh": "进程内零拷贝通信配置",
   "level": "l3"
  },
  "CAP_d0c3bfc8": {
   "en": "Launch Composable Node Loading",
   "zh": "Launch文件编排组件加载",
   "level": "l3"
  },
  "CAP_46ae9ae8": {
   "en": "Lifecycle State Management",
   "zh": "生命周期状态管理与编排",
   "level": "l2"
  },
  "CAP_1f7af3eb": {
   "en": "Lifecycle Callback Implementation",
   "zh": "状态转换回调实现规范",
   "level": "l3"
  },
  "CAP_9b533215": {
   "en": "Lifecycle Resource Binding",
   "zh": "资源生命周期与状态绑定",
   "level": "l3"
  },
  "CAP_120deeb4": {
   "en": "Communication Primitive Selection",
   "zh": "通信原语选型与语义设计",
   "level": "l2"
  },
  "CAP_241fbead": {
   "en": "Topic Service Action Selection",
   "zh": "Topic/Service/Action三原语选型决策",
   "level": "l3"
  },
  "CAP_5a783f6f": {
   "en": "Executor Callback Concurrency",
   "zh": "执行器与回调并发设计",
   "level": "l2"
  },
  "CAP_939dd1b3": {
   "en": "Callback Group Design",
   "zh": "Callback Group互斥/可重入分组",
   "level": "l3"
  },
  "CAP_280a0183": {
   "en": "Realtime Callback Constraint",
   "zh": "回调内实时性约束与反阻塞规范",
   "level": "l3"
  },
  "CAP_6bface1d": {
   "en": "Package Structure Standardization",
   "zh": "包结构标准化",
   "level": "l2"
  },
  "CAP_8ea7847c": {
   "en": "Build System Selection",
   "zh": "ament_cmake vs ament_python选型",
   "level": "l3"
  },
  "CAP_768fa7ee": {
   "en": "Package Layout Convention",
   "zh": "标准目录布局规范",
   "level": "l3"
  },
  "CAP_6b8f3aa9": {
   "en": "Build Workspace Management",
   "zh": "构建与工作空间管理",
   "level": "l2"
  },
  "CAP_89d92533": {
   "en": "Deployment Configuration",
   "zh": "部署配置与分发",
   "level": "l2"
  },
  "CAP_e3ed8a76": {
   "en": "Multi-machine Deployment",
   "zh": "多机部署与发现配置",
   "level": "l3"
  },
  "CAP_a9c94efc": {
   "en": "Static Quality Checks",
   "zh": "代码质量与静态检查",
   "level": "l2"
  },
  "CAP_116aa730": {
   "en": "Ament Lint Static Analysis",
   "zh": "ament_lint静态检查工具链",
   "level": "l3"
  },
  "CAP_3149e4bd": {
   "en": "Compile Warning Enforcement",
   "zh": "严格编译警告与类型安全",
   "level": "l3"
  },
  "CAP_3bbb5703": {
   "en": "Code Formatting Standardization",
   "zh": "代码格式化统一",
   "level": "l3"
  },
  "CAP_d7551131": {
   "en": "Test Automation",
   "zh": "测试自动化体系",
   "level": "l2"
  },
  "CAP_5f16a697": {
   "en": "Unit Testing Framework",
   "zh": "ament_cmake_gtest/pytest单元测试",
   "level": "l3"
  },
  "CAP_7f8accd2": {
   "en": "CI Regression Pipeline",
   "zh": "CI持续集成与回归测试",
   "level": "l3"
  },
  "CAP_ad7b62c0": {
   "en": "Memory Lock Preallocation",
   "zh": "内存锁定与预分配",
   "level": "l3"
  },
  "CAP_bced14e7": {
   "en": "Plugin-based Framework Extension",
   "zh": "插件式框架扩展",
   "level": "l2"
  },
  "CAP_9f0af85f": {
   "en": "Plugin Base Class Inheritance",
   "zh": "插件基类继承与接口实现",
   "level": "l3"
  },
  "CAP_df7b02bf": {
   "en": "Plugin Registration and Export",
   "zh": "插件注册与导出",
   "level": "l3"
  },
  "CAP_f4c214d2": {
   "en": "Runtime Plugin Loading",
   "zh": "运行时插件加载与参数配置",
   "level": "l3"
  },
  "CAP_ef565b22": {
   "en": "Custom Interface and Component Development",
   "zh": "自定义接口与组件开发",
   "level": "l2"
  },
  "CAP_ba53d25e": {
   "en": "Custom IDL Definition and Generation",
   "zh": "自定义IDL定义与代码生成",
   "level": "l3"
  },
  "CAP_f8d7695b": {
   "en": "Configuration-Driven Framework Customization",
   "zh": "配置驱动框架定制",
   "level": "l2"
  },
  "CAP_6e9780ce": {
   "en": "YAML Parameter Configuration",
   "zh": "YAML参数配置",
   "level": "l3"
  },
  "CAP_e35d4bcf": {
   "en": "Launch File Orchestration",
   "zh": "Launch文件编排",
   "level": "l3"
  },
  "CAP_1454a867": {
   "en": "MoveIt Setup Assistant Configuration",
   "zh": "MoveIt配置向导生成",
   "level": "l3"
  },
  "CAP_401aca19": {
   "en": "URDF-SRDF Semantic Configuration",
   "zh": "URDF-SRDF语义配置",
   "level": "l3"
  },
  "CAP_402ef53d": {
   "en": "Dual Framework Environment Setup",
   "zh": "双框架环境部署",
   "level": "l2"
  },
  "CAP_e22e7e3c": {
   "en": "Dual Environment Shell Configuration",
   "zh": "双环境Shell隔离配置",
   "level": "l3"
  },
  "CAP_34a14078": {
   "en": "ROS1 Core Startup",
   "zh": "ROS1 Master启动",
   "level": "l3"
  },
  "CAP_3858f11b": {
   "en": "ROS1 Bridge Custom Message Build",
   "zh": "ROS1 桥接自定义消息编译",
   "level": "l3"
  },
  "CAP_c3af4028": {
   "en": "Bridge Mode Selection",
   "zh": "桥接模式选择",
   "level": "l2"
  },
  "CAP_2413f679": {
   "en": "QoS Profile Adaptation",
   "zh": "QoS 配置适配",
   "level": "l3"
  },
  "CAP_3e1287d3": {
   "en": "Bridge Process Lifecycle Management",
   "zh": "Bridge进程生命周期管理",
   "level": "l3"
  },
  "CAP_16772198": {
   "en": "Bridge Communication Verification",
   "zh": "桥接通信验证",
   "level": "l2"
  },
  "CAP_9696a9e6": {
   "en": "Topic Connectivity Verification",
   "zh": "话题连通性验证",
   "level": "l3"
  },
  "CAP_c01727c6": {
   "en": "Service and Action Bridging Verification",
   "zh": "服务与动作桥接验证",
   "level": "l3"
  },
  "CAP_cc7b18d4": {
   "en": "Bridge Traffic Monitoring",
   "zh": "桥接流量监控",
   "level": "l3"
  },
  "CAP_e69292fd": {
   "en": "Integration Service Deployment and Configuration",
   "zh": "Integration Service部署配置",
   "level": "l3"
  },
  "CAP_82d6efa9": {
   "en": "Qos Policy Translation",
   "zh": "QoS策略转换",
   "level": "l3"
  },
  "CAP_17edbb2b": {
   "en": "Bidirectional Bridge Routing",
   "zh": "双向桥接路由",
   "level": "l3"
  },
  "CAP_19c394da": {
   "en": "Framework Migration Coordination",
   "zh": "框架迁移协调",
   "level": "l2"
  },
  "CAP_a09ba539": {
   "en": "Cross-Framework Environment Setup",
   "zh": "跨框架环境搭建",
   "level": "l3"
  },
  "CAP_a5aac711": {
   "en": "Dependency Graph Analysis",
   "zh": "依赖图分析",
   "level": "l3"
  },
  "CAP_ec434ee5": {
   "en": "Incremental Integration Testing",
   "zh": "增量集成测试",
   "level": "l3"
  },
  "CAP_112f59cf": {
   "en": "Full System Validation",
   "zh": "全系统验证",
   "level": "l3"
  },
  "CAP_3f2aff68": {
   "en": "Bridge Removal and Cleanup",
   "zh": "桥接移除与清理",
   "level": "l3"
  },
  "CAP_729c7f15": {
   "en": "ROS1-to-ROS2 Parameter Migration",
   "zh": "ROS1-ROS2参数系统迁移",
   "level": "l3"
  },
  "CAP_dd3211a9": {
   "en": "Migrated Code Runtime Validation",
   "zh": "迁移代码运行时验证",
   "level": "l3"
  },
  "CAP_be54cc76": {
   "en": "Automated Migration Orchestration",
   "zh": "自动化迁移编排",
   "level": "l2"
  },
  "CAP_cb7b6f02": {
   "en": "Migration Tool Environment Setup",
   "zh": "迁移工具环境配置",
   "level": "l3"
  },
  "CAP_dc808580": {
   "en": "Compilation Database Generation",
   "zh": "编译数据库生成",
   "level": "l3"
  },
  "CAP_b3c97534": {
   "en": "AST-Based Code Parsing",
   "zh": "基于AST的代码解析",
   "level": "l3"
  },
  "CAP_ada3d68b": {
   "en": "API Mapping Rule Management",
   "zh": "API映射规则管理",
   "level": "l3"
  },
  "CAP_50a7d2a7": {
   "en": "C++ Source Code Transformation",
   "zh": "C++源码自动转换",
   "level": "l3"
  },
  "CAP_0f3d2051": {
   "en": "CMake Build File Migration",
   "zh": "CMake构建文件迁移",
   "level": "l3"
  },
  "CAP_e2df1d16": {
   "en": "Package Manifest Migration",
   "zh": "包清单文件迁移",
   "level": "l3"
  },
  "CAP_c1f97a06": {
   "en": "Automated Conversion Gap Resolution",
   "zh": "自动转换缺口修复",
   "level": "l3"
  },
  "CAP_a6e0d81a": {
   "en": "Migrated Code Build Verification",
   "zh": "迁移代码构建验证",
   "level": "l3"
  },
  "CAP_33d164aa": {
   "en": "Catkin Ament Build System Migration",
   "zh": "Catkin Ament构建系统迁移",
   "level": "l3"
  },
  "CAP_a9e9e69d": {
   "en": "Roscpp Rclcpp API Porting",
   "zh": "roscpp rclcpp API移植",
   "level": "l3"
  },
  "CAP_64045f67": {
   "en": "ROS Launch File Migration",
   "zh": "ROS Launch文件迁移",
   "level": "l3"
  },
  "CAP_3547fd52": {
   "en": "ROS Message Interface Migration",
   "zh": "ROS消息接口迁移",
   "level": "l3"
  },
  "CAP_779fd20a": {
   "en": "SourceCodeDependencyAnalysis",
   "zh": "源码依赖分析",
   "level": "l3"
  },
  "CAP_3ef376f4": {
   "en": "Requirements-Driven Framework Evaluation",
   "zh": "需求驱动框架评估",
   "level": "l2"
  },
  "CAP_63983f29": {
   "en": "Project Requirements Elicitation",
   "zh": "项目需求收集与分析",
   "level": "l3"
  },
  "CAP_db1e3bcd": {
   "en": "Candidate Framework Identification",
   "zh": "候选框架识别与硬约束筛选",
   "level": "l3"
  },
  "CAP_748f9531": {
   "en": "Benchmark-Based Framework Comparison",
   "zh": "基准测试量化框架对比",
   "level": "l2"
  },
  "CAP_adfb8658": {
   "en": "Benchmark Environment Setup",
   "zh": "基准测试环境搭建与配置",
   "level": "l3"
  },
  "CAP_8dd7cfcc": {
   "en": "Performance Metric Measurement",
   "zh": "性能指标测量",
   "level": "l3"
  },
  "CAP_e51c7ccb": {
   "en": "Benchmark Result Analysis",
   "zh": "基准测试结果分析与对比报告",
   "level": "l3"
  },
  "CAP_1aee37f0": {
   "en": "PoC Prototype Validation",
   "zh": "原型验证选型",
   "level": "l2"
  },
  "CAP_29db450e": {
   "en": "PoC Planning and Scoping",
   "zh": "PoC范围定义与计划",
   "level": "l3"
  },
  "CAP_4159b8d5": {
   "en": "Prototype Implementation and Hardware Integration",
   "zh": "原型搭建与硬件集成",
   "level": "l3"
  },
  "CAP_8c4f9943": {
   "en": "PoC Evaluation and Final Decision",
   "zh": "PoC评估与最终选型决策",
   "level": "l3"
  },
  "CAP_9fc6a194": {
   "en": "Warm Start Impulse Initialization",
   "zh": "冲量Warm Start初始化",
   "level": "l3"
  },
  "CAP_68b3e9b3": {
   "en": "Frontier-Based Exploration Strategy",
   "zh": "边界探索策略",
   "level": "l2"
  },
  "CAP_0609f30a": {
   "en": "Frontier Goal Navigation",
   "zh": "前沿目标导航",
   "level": "l3"
  },
  "CAP_7f6e7346": {
   "en": "Exploration Termination Detection",
   "zh": "探索完成检测",
   "level": "l3"
  },
  "CAP_19566ddd": {
   "en": "Global-Local Dual RRT Detection",
   "zh": "全局-局部RRT前沿检测",
   "level": "l3"
  },
  "CAP_d266c3f4": {
   "en": "OpenCV Image-Based Frontier Detection",
   "zh": "OpenCV图像前沿检测",
   "level": "l3"
  },
  "CAP_61c98264": {
   "en": "3D Volumetric Map Update",
   "zh": "3D体素地图更新",
   "level": "l3"
  },
  "CAP_10cfadae": {
   "en": "Global Sparse Routing (OR-Tools)",
   "zh": "全局稀疏路由（OR-Tools）",
   "level": "l3"
  },
  "CAP_46eff0f5": {
   "en": "Hierarchical Frontier Path Joining",
   "zh": "分层前沿路径拼接",
   "level": "l3"
  },
  "CAP_922bec05": {
   "en": "End-to-End RL Front Recovery Pipeline",
   "zh": "端到端RL前扑恢复管线",
   "level": "l2"
  },
  "CAP_8e58bbc8": {
   "en": "Front Fall Initial State Sampling",
   "zh": "前扑初始状态采样",
   "level": "l3"
  },
  "CAP_ddf14538": {
   "en": "Recovery Policy Inference",
   "zh": "恢复策略推断",
   "level": "l3"
  },
  "CAP_a1ca23d8": {
   "en": "Front Recovery Reward Shaping",
   "zh": "前扑恢复奖励塑形",
   "level": "l3"
  },
  "CAP_517c1016": {
   "en": "Zero-Shot Front Recovery Deployment",
   "zh": "前扑恢复零样本部署",
   "level": "l3"
  },
  "CAP_06d448a8": {
   "en": "Multi-Contact OCP Front Recovery Pipeline",
   "zh": "多接触OCP前扑恢复管线",
   "level": "l2"
  },
  "CAP_dd0f71fc": {
   "en": "Front Fall Contact Sequence Enumeration",
   "zh": "前扑接触序列枚举",
   "level": "l3"
  },
  "CAP_69611610": {
   "en": "OCP Formulation with Prone Contact Constraints",
   "zh": "前扑接触约束OCP建模",
   "level": "l3"
  },
  "CAP_b6ade7e3": {
   "en": "Keyframe-Based Front Recovery Pipeline",
   "zh": "关键帧+WBC前扑恢复管线",
   "level": "l2"
  },
  "CAP_9831a8a4": {
   "en": "Prone Recovery Keyframe Design",
   "zh": "前扑恢复关键帧设计",
   "level": "l3"
  },
  "CAP_3b7c1c6e": {
   "en": "Recovery FSM State Machine",
   "zh": "恢复FSM状态机",
   "level": "l3"
  },
  "CAP_4dfd3e1b": {
   "en": "Keyframe Spline Interpolation",
   "zh": "关键帧样条插值",
   "level": "l3"
  },
  "CAP_f88c4600": {
   "en": "ZMP DCM Reference for Get-Up",
   "zh": "站起ZMP/DCM参考生成",
   "level": "l3"
  },
  "CAP_cf66baf8": {
   "en": "Contact State Monitoring during Get-Up",
   "zh": "站起接触状态监控",
   "level": "l3"
  },
  "CAP_078bffd2": {
   "en": "NLP/FDDP Solver for Prone OCP",
   "zh": "俯卧OCP的NLP/FDDP求解器",
   "level": "l3"
  },
  "CAP_7afd216d": {
   "en": "WBC Torque Distribution for Recovery",
   "zh": "恢复WBC力矩分配",
   "level": "l3"
  },
  "CAP_da902e47": {
   "en": "Recovery-to-Standing Smooth Transition",
   "zh": "恢复到站平滑过渡控制",
   "level": "l3"
  },
  "CAP_e23d6ac8": {
   "en": "Image Preprocessing for CNN",
   "zh": "CNN图像预处理",
   "level": "l3"
  },
  "CAP_70b82720": {
   "en": "CNN Scene Classification",
   "zh": "CNN场景分类",
   "level": "l2"
  },
  "CAP_13cbfa2a": {
   "en": "CNN Feature Extraction for Scenes",
   "zh": "场景CNN特征提取",
   "level": "l3"
  },
  "CAP_d13142f6": {
   "en": "Scene Category Inference",
   "zh": "场景类别推理",
   "level": "l3"
  },
  "CAP_d6aaf0f8": {
   "en": "Online Novel Class Adaptation",
   "zh": "在线新类别适配",
   "level": "l3"
  },
  "CAP_9ea1fa06": {
   "en": "Vision Temporal Coherence Filtering",
   "zh": "视觉时序一致性滤波",
   "level": "l2"
  },
  "CAP_9a6d3107": {
   "en": "Bayesian Temporal Smoothing",
   "zh": "贝叶斯时序平滑",
   "level": "l3"
  },
  "CAP_634537e4": {
   "en": "Functional Area Label Output",
   "zh": "功能区标签输出",
   "level": "l3"
  },
  "CAP_1a4c12f9": {
   "en": "Map Binarization and Denoising",
   "zh": "地图二值化去噪",
   "level": "l3"
  },
  "CAP_8181113c": {
   "en": "Distance Transform Computation",
   "zh": "距离变换计算",
   "level": "l3"
  },
  "CAP_ee6a8d36": {
   "en": "Geometric Area Labeling and Localization",
   "zh": "几何功能区标注与定位",
   "level": "l2"
  },
  "CAP_2c815728": {
   "en": "Room Geometric Feature Extraction",
   "zh": "房间几何特征提取",
   "level": "l3"
  },
  "CAP_127f1769": {
   "en": "Geometric Room Type Classification",
   "zh": "几何特征房间分类",
   "level": "l3"
  },
  "CAP_f7594d41": {
   "en": "Topological Room Localization",
   "zh": "拓扑房间定位",
   "level": "l3"
  },
  "CAP_f7a228a6": {
   "en": "Multi-sensor Data Synchronization",
   "zh": "多传感器数据同步",
   "level": "l3"
  },
  "CAP_e9d00c8b": {
   "en": "Visual Object Detection for Rooms",
   "zh": "面向房间的物体检测",
   "level": "l3"
  },
  "CAP_e60fdb6d": {
   "en": "Online Geometric Feature Extraction",
   "zh": "在线几何结构特征提取",
   "level": "l3"
  },
  "CAP_ac65343f": {
   "en": "RF Fingerprint Scanning",
   "zh": "射频指纹扫描",
   "level": "l3"
  },
  "CAP_8ad4e31a": {
   "en": "Mono-modal Area Inference",
   "zh": "单模态区域推理",
   "level": "l2"
  },
  "CAP_08b27e23": {
   "en": "Object-based Room Type Inference",
   "zh": "基于物体的房间类型推理",
   "level": "l3"
  },
  "CAP_c590aba0": {
   "en": "Online Geometric Room Classification",
   "zh": "在线几何房间分类",
   "level": "l3"
  },
  "CAP_213db496": {
   "en": "RF-based Area Matching",
   "zh": "射频区域匹配",
   "level": "l3"
  },
  "CAP_a4b5b74f": {
   "en": "Multi-modal Fusion and Output",
   "zh": "多模态融合与输出",
   "level": "l2"
  },
  "CAP_5c5b8daa": {
   "en": "Multi-modal Probabilistic Fusion",
   "zh": "多模态概率融合",
   "level": "l3"
  },
  "CAP_7a727b1c": {
   "en": "Functional Area Label with Evidence",
   "zh": "带证据的功能区标签输出",
   "level": "l3"
  },
  "CAP_5a55e67b": {
   "en": "TSDF Depth Fusion",
   "zh": "TSDF深度融合",
   "level": "l3"
  },
  "CAP_7b6306d4": {
   "en": "Occupancy Grid Map",
   "zh": "占据栅格地图",
   "level": "l3"
  },
  "CAP_db863795": {
   "en": "RGB-D Frame Capture and Synchronization",
   "zh": "RGB-D帧采集与时间同步",
   "level": "l3"
  },
  "CAP_2cf3e7d3": {
   "en": "Depth-Aligned 3D Affordance Projection",
   "zh": "深度对齐3D可供性反投影",
   "level": "l3"
  },
  "CAP_53c1b58b": {
   "en": "Multi-View Affordance Map Fusion",
   "zh": "多视图可供性地图融合",
   "level": "l3"
  },
  "CAP_da0bea0a": {
   "en": "Affordance Map Query Service",
   "zh": "可供性地图查询服务",
   "level": "l3"
  },
  "CAP_499b9b20": {
   "en": "CLIP Vision-Language Inference",
   "zh": "CLIP视觉-语言双塔推理",
   "level": "l3"
  },
  "CAP_66f498f4": {
   "en": "Voxel Hashing",
   "zh": "体素哈希",
   "level": "l3"
  },
  "CAP_891608e0": {
   "en": "Open-Vocabulary 3D Fusion Map",
   "zh": "开放词汇3D融合地图",
   "level": "l3"
  },
  "CAP_8a85aba2": {
   "en": "Text-Query Affordance Localization",
   "zh": "文本查询可供性定位",
   "level": "l3"
  },
  "CAP_58e92420": {
   "en": "Category-Level Keypoint Detection",
   "zh": "类别级语义关键点检测",
   "level": "l3"
  },
  "CAP_b75f1596": {
   "en": "3D Affordance Learning for Tool Manipulation",
   "zh": "3D可供性学习驱动工具操作",
   "level": "l3"
  },
  "CAP_9e9d5ec0": {
   "en": "Articulation Joint Parameter Estimation",
   "zh": "关节参数估计",
   "level": "l3"
  },
  "CAP_5a0bc8c3": {
   "en": "Articulated Part Map Fusion and Update",
   "zh": "关节部件地图融合与更新",
   "level": "l3"
  },
  "CAP_6bf1a964": {
   "en": "3D Semantic Mesh Fusion",
   "zh": "3D语义网格融合",
   "level": "l3"
  },
  "CAP_e364d70a": {
   "en": "Region Navigation Execution",
   "zh": "区域导航执行",
   "level": "l2"
  },
  "CAP_8529dbce": {
   "en": "Semantic Perception for Exploration",
   "zh": "探索语义感知",
   "level": "l2"
  },
  "CAP_0e82df47": {
   "en": "Bird Eye View Semantic Mapping",
   "zh": "鸟瞰语义地图构建",
   "level": "l3"
  },
  "CAP_2bd1c97a": {
   "en": "Goal-oriented Frontier Selection",
   "zh": "面向目标的frontier选择",
   "level": "l3"
  },
  "CAP_2d8d9509": {
   "en": "FMM Path Planning to Frontier",
   "zh": "FMM局部路径规划",
   "level": "l3"
  },
  "CAP_df5c0f0b": {
   "en": "Functional Region Arrival Detection",
   "zh": "功能区域到达判定",
   "level": "l3"
  },
  "CAP_19347382": {
   "en": "Topological Node Management",
   "zh": "拓扑节点管理",
   "level": "l3"
  },
  "CAP_64ebaecc": {
   "en": "Inter-node Local Navigation",
   "zh": "节点间局部导航",
   "level": "l3"
  },
  "CAP_036aa880": {
   "en": "Point Cloud Normal Estimation",
   "zh": "点云法线估计",
   "level": "l3"
  },
  "CAP_b508ce9e": {
   "en": "Iterative Multi-Plane Extraction",
   "zh": "迭代多平面提取",
   "level": "l3"
  },
  "CAP_4e5f7afd": {
   "en": "Plane Functional Classification",
   "zh": "平面功能分类",
   "level": "l2"
  },
  "CAP_e302867f": {
   "en": "Plane Functional Classification by Normal and Height",
   "zh": "基于法向与高度的平面功能分类",
   "level": "l3"
  },
  "CAP_0944e492": {
   "en": "Functional Region Labeling and Output",
   "zh": "功能区域标记输出",
   "level": "l3"
  },
  "CAP_bc7d8044": {
   "en": "Encoder-Decoder Semantic Segmentation Inference",
   "zh": "Encoder-Decoder语义分割推理",
   "level": "l2"
  },
  "CAP_56536ed8": {
   "en": "CRF and Morphological Post-processing",
   "zh": "CRF与形态学后处理",
   "level": "l3"
  },
  "CAP_4726ac3c": {
   "en": "Panoramic Image Preprocessing",
   "zh": "全景图预处理",
   "level": "l2"
  },
  "CAP_03980a65": {
   "en": "Panorama Resize and Tensor Normalization",
   "zh": "全景图缩放与tensor归一化",
   "level": "l3"
  },
  "CAP_65f7cae5": {
   "en": "1D Layout Boundary Prediction",
   "zh": "1D布局边界预测",
   "level": "l2"
  },
  "CAP_40faeb9c": {
   "en": "1D Horizontal Feature Extraction",
   "zh": "1D水平特征提取（ResNet-50）",
   "level": "l3"
  },
  "CAP_c2c6cba5": {
   "en": "Bidirectional LSTM Boundary Prediction",
   "zh": "双向LSTM边界预测",
   "level": "l3"
  },
  "CAP_fb256e2a": {
   "en": "NMS and Least-Squares Boundary Optimization",
   "zh": "NMS与最小二乘边界优化",
   "level": "l3"
  },
  "CAP_322de6c1": {
   "en": "Incremental Geometric Segmentation",
   "zh": "增量几何分割",
   "level": "l3"
  },
  "CAP_a3699f64": {
   "en": "Segment PointNet Embedding",
   "zh": "PointNet节点特征编码",
   "level": "l3"
  },
  "CAP_a5ed8dfd": {
   "en": "GNN Message Passing for Context Aggregation",
   "zh": "GNN消息传递与上下文聚合",
   "level": "l3"
  },
  "CAP_b65c49ab": {
   "en": "GNN Spatial Relation Classifier",
   "zh": "GNN空间关系分类器",
   "level": "l3"
  },
  "CAP_cb9c84d032": {
   "en": "Interactive Affordance Prediction for Novel Objects",
   "zh": "交互可供性预测迁移",
   "level": "l3"
  },
  "CAP_f97a3a8a": {
   "en": "Physical Feasibility Collision Filter",
   "zh": "物理可行性碰撞过滤",
   "level": "l3"
  },
  "CAP_6f15b022": {
   "en": "3D Scene Graph Generation",
   "zh": "三维场景图生成",
   "level": "l2"
  },
  "CAP_4c3e8b6c": {
   "en": "Static Function Priority Hierarchy Definition",
   "zh": "静态功能优先级层次定义",
   "level": "l3"
  },
  "CAP_0e46f545": {
   "en": "BswM Mode Arbitration Engine",
   "zh": "BswM 模式仲裁引擎",
   "level": "l3"
  },
  "CAP_3edf4a12": {
   "en": "FiM Function Inhibition Execution",
   "zh": "FiM 功能抑制执行",
   "level": "l3"
  },
  "CAP_c06bcafc": {
   "en": "ComM Communication Bandwidth Degradation",
   "zh": "ComM 通信带宽降级",
   "level": "l3"
  },
  "CAP_b8fe440e": {
   "en": "SchM OS Schedule Table Switch",
   "zh": "SchM OS 调度表切换",
   "level": "l3"
  },
  "CAP_c24c6a98": {
   "en": "WdgM Safety Function Alive Supervision",
   "zh": "WdgM 安全功能存活监督",
   "level": "l3"
  },
  "CAP_c4c91c94": {
   "en": "Lifecycle Manager Supervised Bringup",
   "zh": "Lifecycle Manager 监督式启动架构",
   "level": "l3"
  },
  "CAP_7ebbf797": {
   "en": "Resource State Acquisition",
   "zh": "资源状态采集",
   "level": "l3"
  },
  "CAP_247a501a": {
   "en": "Communication Bandwidth Priority Scheduling",
   "zh": "通信带宽优先级调度",
   "level": "l3"
  },
  "CAP_d9d8dcab": {
   "en": "Resource Pressure Band Classification",
   "zh": "资源压力等级分类",
   "level": "l3"
  },
  "CAP_802574d8": {
   "en": "Dynamic Function Priority Table Management",
   "zh": "动态功能优先级表管理",
   "level": "l3"
  },
  "CAP_aa540777": {
   "en": "Lifecycle Batch State Transition Orchestration",
   "zh": "生命周期批量状态转换编排",
   "level": "l3"
  },
  "CAP_2bcdc262": {
   "en": "Hysteresis-Based Function Recovery Scheduling",
   "zh": "回滞驱动功能恢复调度",
   "level": "l3"
  },
  "CAP_9e2b7ed9": {
   "en": "Resource-Aware Weighted Scoring",
   "zh": "资源感知加权评分",
   "level": "l3"
  },
  "CAP_2fb5dd50": {
   "en": "Multi-Dimensional Resource Budget Estimation",
   "zh": "多维资源预算估计",
   "level": "l3"
  },
  "CAP_9e310600": {
   "en": "Function Resource Cost Profiling",
   "zh": "功能资源代价建模",
   "level": "l3"
  },
  "CAP_639ad213": {
   "en": "Constrained Utility Maximization Solver",
   "zh": "约束效用最大化求解器",
   "level": "l3"
  },
  "CAP_d9b4479b": {
   "en": "Dependency-Aware Function Activation Ordering",
   "zh": "依赖感知功能激活排序",
   "level": "l3"
  },
  "CAP_f302067d": {
   "en": "Graceful Function Lifecycle Management",
   "zh": "优雅功能生命周期管理",
   "level": "l3"
  },
  "CAP_27e6dff8": {
   "en": "Feedforward CNN MetaFormer Future Frame Prediction",
   "zh": "前馈CNN/MetaFormer未来帧预测",
   "level": "l2"
  },
  "CAP_4d493f7e": {
   "en": "GAN-based Future Frame Prediction for Video Anomaly Detection",
   "zh": "基于GAN未来帧预测的视频异常检测",
   "level": "l2"
  },
  "CAP_1f3dcd39": {
   "en": "Spatiotemporal LSTM Dual-Memory Cell",
   "zh": "时空LSTM双记忆单元",
   "level": "l3"
  },
  "CAP_410356ed": {
   "en": "Gradient Highway Unit for Discontinuity Learning",
   "zh": "梯度高速路单元突变学习",
   "level": "l3"
  },
  "CAP_3c6e0fc8": {
   "en": "Scheduled Sampling for Autoregressive Video Prediction",
   "zh": "计划采样自回归视频预测训练",
   "level": "l3"
  },
  "CAP_aef44462": {
   "en": "Autoregressive Future Frame Decoding",
   "zh": "自回归未来帧解码",
   "level": "l3"
  },
  "CAP_ce63dfb5": {
   "en": "Spatiotemporal MetaFormer Translation",
   "zh": "时空MetaFormer翻译模块",
   "level": "l3"
  },
  "CAP_e47d532f": {
   "en": "Spatial Upsampling Decoder",
   "zh": "空间上采样解码器",
   "level": "l3"
  },
  "CAP_9c9634a8": {
   "en": "End-to-End MSE Video Prediction Training",
   "zh": "端到端MSE视频预测训练",
   "level": "l3"
  },
  "CAP_a56f76e8": {
   "en": "Video Prediction Evaluation Metrics",
   "zh": "视频预测评估指标",
   "level": "l3"
  },
  "CAP_ba7ab60e": {
   "en": "U-Net Future Frame Generation",
   "zh": "U-Net未来帧生成",
   "level": "l3"
  },
  "CAP_9c217a47": {
   "en": "PatchGAN Adversarial Discrimination",
   "zh": "PatchGAN对抗判别",
   "level": "l3"
  },
  "CAP_2e62f2fe": {
   "en": "Multi-Loss GAN Training for Frame Prediction",
   "zh": "多损失GAN帧预测训练",
   "level": "l3"
  },
  "CAP_218875e5": {
   "en": "Optical Flow Extraction for Motion Consistency",
   "zh": "光流提取运动一致性约束",
   "level": "l3"
  },
  "CAP_a0e2b242": {
   "en": "PSNR-based Anomaly Score Computation",
   "zh": "基于PSNR的异常分数计算",
   "level": "l3"
  },
  "CAP_1daa5496": {
   "en": "Frame-Level AUC Evaluation for Anomaly Detection",
   "zh": "帧级AUC异常检测评估",
   "level": "l3"
  },
  "CAP_e2397ce2": {
   "en": "Gain Scheduling Control",
   "zh": "增益调度控制",
   "level": "l2"
  },
  "CAP_49d490db": {
   "en": "Fixed-Gain LQR/PID Design",
   "zh": "定点LQR/PID增益设计",
   "level": "l3"
  },
  "CAP_cd563c9e": {
   "en": "Gain Schedule Table Construction",
   "zh": "增益调度表构建",
   "level": "l3"
  },
  "CAP_ea9c5d29": {
   "en": "Bumpless Transfer",
   "zh": "抗切换冲击补偿",
   "level": "l3"
  },
  "CAP_56e8d349": {
   "en": "Scheduled Variable Estimation",
   "zh": "调度变量在线测量与估计",
   "level": "l3"
  },
  "CAP_0c3a2366": {
   "en": "Online Gain Interpolation",
   "zh": "在线增益插值计算",
   "level": "l3"
  },
  "CAP_937bec06": {
   "en": "LMI-Based H∞ Controller Synthesis",
   "zh": "基于LMI的H∞控制器综合",
   "level": "l3"
  },
  "CAP_aaf069d5": {
   "en": "Convex Decomposition Interpolation",
   "zh": "凸分解在线插值",
   "level": "l3"
  },
  "CAP_5cef3b81": {
   "en": "Fuzzy Membership Function Design",
   "zh": "模糊隶属度函数设计",
   "level": "l3"
  },
  "CAP_b9bad945": {
   "en": "Fuzzy Rule Inference",
   "zh": "模糊规则推理",
   "level": "l3"
  },
  "CAP_873b1e83": {
   "en": "Defuzzification",
   "zh": "去模糊化",
   "level": "l3"
  },
  "CAP_c93cf85d": {
   "en": "Actuator Command Saturation and Anti-Windup",
   "zh": "执行器指令限幅与抗积分饱和",
   "level": "l3"
  },
  "CAP_449c1f11": {
   "en": "PolytopicLPVEmbedding",
   "zh": "多胞形LPV嵌入",
   "level": "l3"
  },
  "CAP_54902277": {
   "en": "State Estimation and Filtering",
   "zh": "状态估计与滤波",
   "level": "l3"
  },
  "CAP_b5c5d828": {
   "en": "Gait Assistance Control (FSM-based)",
   "zh": "FSM步态辅助控制",
   "level": "l2"
  },
  "CAP_31a69891": {
   "en": "Model-Based Gait Trajectory Control",
   "zh": "基于模型的步态轨迹优化控制",
   "level": "l2"
  },
  "CAP_ef4eff9a": {
   "en": "HIL Bayesian Gait Optimization",
   "zh": "人在环贝叶斯步态优化",
   "level": "l2"
  },
  "CAP_1f73be0d": {
   "en": "Wearable Sensor Data Acquisition",
   "zh": "可穿戴传感器数据采集",
   "level": "l3"
  },
  "CAP_5f9e4322": {
   "en": "Gait Event Detection",
   "zh": "步态事件检测",
   "level": "l3"
  },
  "CAP_8774aa08": {
   "en": "FSM Gait Phase State Machine",
   "zh": "FSM步态相位状态机",
   "level": "l3"
  },
  "CAP_6dba33b4": {
   "en": "Gait Phase Parameter Estimation",
   "zh": "步态相位参数估计",
   "level": "l3"
  },
  "CAP_5a892852": {
   "en": "Assistive Torque Profile Modulation",
   "zh": "助力力矩协调调制",
   "level": "l3"
  },
  "CAP_e8513202": {
   "en": "Musculoskeletal Model Personalization",
   "zh": "肌肉骨骼模型个性化",
   "level": "l3"
  },
  "CAP_037acd22": {
   "en": "Gait OCP Formulation",
   "zh": "步态最优控制问题建模",
   "level": "l3"
  },
  "CAP_66759814": {
   "en": "Direct Collocation Trajectory Solver",
   "zh": "直接配置轨迹优化求解",
   "level": "l3"
  },
  "CAP_a4e32eaf": {
   "en": "Assistive Torque Pattern Extraction",
   "zh": "助力力矩模式提取",
   "level": "l3"
  },
  "CAP_eb9287ad": {
   "en": "Gait-Synchronized Admittance Control",
   "zh": "步态同步导纳控制",
   "level": "l3"
  },
  "CAP_7cd33df3": {
   "en": "Assistive Torque Scaling",
   "zh": "助力力矩缩放混合",
   "level": "l3"
  },
  "CAP_033c124e": {
   "en": "Metabolic Cost Online Estimation",
   "zh": "代消耗在线估计",
   "level": "l3"
  },
  "CAP_120dea5f": {
   "en": "Gaussian Process Surrogate Modeling",
   "zh": "高斯过程代理建模",
   "level": "l3"
  },
  "CAP_cf17a940": {
   "en": "Bayesian Acquisition Function Optimization",
   "zh": "贝叶斯采集函数优化",
   "level": "l3"
  },
  "CAP_fd907933": {
   "en": "Assistive Parameter-to-Torque Mapping",
   "zh": "助力参数-力矩映射",
   "level": "l3"
  },
  "CAP_4af40702": {
   "en": "Gait-Synchronized Torque Generation",
   "zh": "步态同步实时力矩生成",
   "level": "l3"
  },
  "CAP_757be6b0": {
   "en": "HIL Convergence Detection",
   "zh": "HIL收敛检测与终止",
   "level": "l3"
  },
  "CAP_36e946b7": {
   "en": "Exoskeleton Joint Torque Control",
   "zh": "外骨骼关节力矩控制",
   "level": "l3"
  },
  "CAP_6d151a60": {
   "en": "Exoskeleton Safety Monitoring",
   "zh": "外骨骼安全监控",
   "level": "l3"
  },
  "CAP_1d8799dc": {
   "en": "CPG Network Construction and Gait Mapping",
   "zh": "CPG网络构建与步态映射",
   "level": "l2"
  },
  "CAP_f789f143": {
   "en": "Hopf Oscillator Unit",
   "zh": "Hopf振荡器单元",
   "level": "l3"
  },
  "CAP_c5f87d0b": {
   "en": "Matsuoka Neuron Oscillator",
   "zh": "Matsuoka神经元振荡器",
   "level": "l3"
  },
  "CAP_d829cee1": {
   "en": "Gait-CPG Parameter Mapping",
   "zh": "步态-CPG参数映射",
   "level": "l3"
  },
  "CAP_8950cea5": {
   "en": "CPG Gait Transition Modulation",
   "zh": "CPG步态切换调制",
   "level": "l2"
  },
  "CAP_343d5808": {
   "en": "CPG Parameter Continuous Modulation",
   "zh": "CPG参数连续调制",
   "level": "l3"
  },
  "CAP_1594710c": {
   "en": "CPG Reflex Modulation and Joint Execution",
   "zh": "CPG反射调制与关节执行",
   "level": "l2"
  },
  "CAP_f6e2cdcb": {
   "en": "CPG Joint Space Mapping",
   "zh": "CPG关节空间映射",
   "level": "l3"
  },
  "CAP_153ad062": {
   "en": "Centroidal Dynamics Modeling",
   "zh": "质心动学建模",
   "level": "l3"
  },
  "CAP_958a2808": {
   "en": "NMPC Optimization and WBC Execution",
   "zh": "NMPC优化与WBC执行",
   "level": "l2"
  },
  "CAP_4987e30b": {
   "en": "Joint PD Servo with Torque Feedforward",
   "zh": "关节PD伺服与力矩前馈",
   "level": "l3"
  },
  "CAP_05ae5d32": {
   "en": "Gait-Conditioned RL Policy Training",
   "zh": "步态条件化RL策略训练",
   "level": "l2"
  },
  "CAP_732ae864": {
   "en": "Parameterized Gait Reward Function",
   "zh": "参数化步态奖励函数",
   "level": "l3"
  },
  "CAP_b6e3db7a": {
   "en": "Parallel Robot Simulation for Gait RL",
   "zh": "步态RL并行仿真环境搭建",
   "level": "l3"
  },
  "CAP_0318c857": {
   "en": "RL Gait Policy Sim-to-Real and Deployment",
   "zh": "RL步态策略Sim-to-Real迁移与部署",
   "level": "l2"
  },
  "CAP_297b0379": {
   "en": "RL Gait Policy Sim-to-Real Transfer",
   "zh": "RL步态策略Sim-to-Real迁移",
   "level": "l3"
  },
  "CAP_e8b529f1": {
   "en": "RL Gait Policy Real Robot Deployment",
   "zh": "RL步态策略真机部署",
   "level": "l3"
  },
  "CAP_cb1d7e70": {
   "en": "CPG Transition Trigger Decision",
   "zh": "CPG步态切换触发决策",
   "level": "l3"
  },
  "CAP_3ef66bc5": {
   "en": "CPG Reflex Feedback Modulation",
   "zh": "CPG反射反馈调制",
   "level": "l3"
  },
  "CAP_86b42efe": {
   "en": "Gait Transition Decision",
   "zh": "步态切换决策",
   "level": "l3"
  },
  "CAP_e4d24bdb": {
   "en": "CFR Equilibrium Solving",
   "zh": "CFR均衡求解",
   "level": "l2"
  },
  "CAP_33f1de40": {
   "en": "Extensive-Form Game Modeling",
   "zh": "扩展式博弈建模",
   "level": "l3"
  },
  "CAP_4406a982": {
   "en": "Game Abstraction",
   "zh": "博弈抽象",
   "level": "l3"
  },
  "CAP_0bb9e3bc": {
   "en": "Approximate Nash Strategy Export",
   "zh": "近似纳什策略导出",
   "level": "l3"
  },
  "CAP_b66ee08c": {
   "en": "Perfect Information Game Setup",
   "zh": "完美信息博弈环境构建",
   "level": "l3"
  },
  "CAP_2d8153c4": {
   "en": "Self-Play Data Generation",
   "zh": "自博弈数据生成",
   "level": "l3"
  },
  "CAP_59add186": {
   "en": "Policy-Value Network Training",
   "zh": "策略-价值网络训练",
   "level": "l3"
  },
  "CAP_c089ca9e": {
   "en": "PUCT Action Selection",
   "zh": "PUCT动作选择",
   "level": "l3"
  },
  "CAP_d2e82424": {
   "en": "Dirichlet Exploration Noise",
   "zh": "Dirichlet探索噪声",
   "level": "l3"
  },
  "CAP_cae00f56": {
   "en": "Population-Based Game-Theoretic MARL",
   "zh": "基于种群的博弈论多智能体强化学习",
   "level": "l2"
  },
  "CAP_c81e4b22": {
   "en": "MARL Environment Configuration",
   "zh": "多智能体RL环境配置",
   "level": "l3"
  },
  "CAP_fb168f7e": {
   "en": "Empirical Payoff Matrix Estimation",
   "zh": "经验收益矩阵估计",
   "level": "l3"
  },
  "CAP_d2bf9dea": {
   "en": "Meta-Strategy Solving",
   "zh": "元策略求解",
   "level": "l3"
  },
  "CAP_397770d5": {
   "en": "Learning-based Bimanual Garment Folding Pipeline",
   "zh": "双臂学习型衣物折叠管线",
   "level": "l2"
  },
  "CAP_f5124c7e": {
   "en": "Overhead RGB-D Garment Perception",
   "zh": "俯拍RGB-D衣物感知",
   "level": "l3"
  },
  "CAP_6f570c57": {
   "en": "Garment State and Keypoint Recognition",
   "zh": "衣物状态与关键点识别",
   "level": "l3"
  },
  "CAP_8f47b000": {
   "en": "Bimanual Folding Teleoperation Demonstration Collection",
   "zh": "双臂折叠遥操作演示采集",
   "level": "l3"
  },
  "CAP_494bbf88": {
   "en": "BMN Behavior Cloning Training",
   "zh": "BMN行为克隆训练",
   "level": "l3"
  },
  "CAP_0e05aa51": {
   "en": "Folding Primitive Selection and Action Generation",
   "zh": "折叠原语选择与动作生成",
   "level": "l3"
  },
  "CAP_d3ff7b73": {
   "en": "Bimanual Flattening and Folding Execution",
   "zh": "双臂抚平与折叠执行",
   "level": "l3"
  },
  "CAP_d89aeb31": {
   "en": "Folding Completion Verification",
   "zh": "折叠完成判定",
   "level": "l3"
  },
  "CAP_c96c5f08": {
   "en": "Simulation-driven RL Garment Manipulation Pipeline",
   "zh": "仿真驱动RL衣物操控管线",
   "level": "l2"
  },
  "CAP_9b6d5553": {
   "en": "Cloth Manipulation Action Generation",
   "zh": "布料操作动作生成",
   "level": "l3"
  },
  "CAP_a77fd6c7": {
   "en": "GPU-Parallel Simulation Sampling",
   "zh": "GPU并行仿真采样",
   "level": "l3"
  },
  "CAP_142ba31a": {
   "en": "Robot-Assisted Human Dressing Pipeline",
   "zh": "机器人辅助人体穿衣管线",
   "level": "l2"
  },
  "CAP_bcd45512": {
   "en": "Human Pose and Garment State Perception for Dressing",
   "zh": "穿衣场景人体姿态与衣物状态感知",
   "level": "l3"
  },
  "CAP_f9c5c62d": {
   "en": "Dressing RL Policy Inference",
   "zh": "穿衣强化学习策略推理",
   "level": "l3"
  },
  "CAP_507891cc": {
   "en": "Force-Torque Sensing for Dressing Safety",
   "zh": "穿衣力觉感知",
   "level": "l3"
  },
  "CAP_2f24b307": {
   "en": "RL Dressing Policy Training in Simulation",
   "zh": "穿衣RL策略仿真训练",
   "level": "l3"
  },
  "CAP_ac6cebe3": {
   "en": "Force-Closed-Loop Safe Dressing Execution",
   "zh": "力觉闭环安全穿衣执行",
   "level": "l3"
  },
  "CAP_19dc6f1b": {
   "en": "Dressing Completion Verification",
   "zh": "穿衣完成判定",
   "level": "l3"
  },
  "CAP_88171acd": {
   "en": "Kernel DM plus V Gas Distribution Mapping",
   "zh": "核函数DM+V二维气体浓度统计建图",
   "level": "l2"
  },
  "CAP_d93f17c7": {
   "en": "Gas Concentration Sensor Sampling and Preprocessing",
   "zh": "气体浓度传感器采样与预处理",
   "level": "l3"
  },
  "CAP_d31a43e0": {
   "en": "Pose-Tagged Gas Observation Spatiotemporal Alignment",
   "zh": "位姿标注气体观测时空对齐",
   "level": "l3"
  },
  "CAP_057b4291": {
   "en": "Gaussian Kernel Spatial Weighted Accumulation",
   "zh": "高斯核空间加权累积",
   "level": "l3"
  },
  "CAP_a6f734c9": {
   "en": "Confidence-Weighted Mean-Variance Map Normalization",
   "zh": "置信度加权均值方差图归一化",
   "level": "l3"
  },
  "CAP_de83ac23": {
   "en": "Temporal Decay Gas Map Incremental Update",
   "zh": "时间衰减气体地图增量更新",
   "level": "l3"
  },
  "CAP_6f0bc4e9": {
   "en": "Gas Distribution Grid Map Publishing",
   "zh": "气体分布栅格地图发布",
   "level": "l3"
  },
  "CAP_ba42608a": {
   "en": "Sparse GP Approximation for Gas Field",
   "zh": "稀疏高斯过程气体浓度场建图",
   "level": "l2"
  },
  "CAP_e3bd845a": {
   "en": "Sparse GP Inducing Point Inference",
   "zh": "稀疏GP诱导点推断",
   "level": "l3"
  },
  "CAP_7183d709": {
   "en": "GP Predictive Mean-Variance Grid Query",
   "zh": "GP预测均值方差栅格查询",
   "level": "l3"
  },
  "CAP_f2791d14": {
   "en": "GP Gas Map Incremental Update",
   "zh": "GP气体地图增量更新",
   "level": "l3"
  },
  "CAP_b126cada": {
   "en": "3D Structurally-Aware BP Gas Distribution Mapping",
   "zh": "三维结构感知信念传播气体浓度建图",
   "level": "l2"
  },
  "CAP_fdfd6895": {
   "en": "Multimodal 3D Gas Observation Acquisition",
   "zh": "多模态3D气体观测采集",
   "level": "l3"
  },
  "CAP_16e731a2": {
   "en": "3D Voxel Occupancy-Gas Joint Mapping",
   "zh": "3D体素占据-气体联合建图",
   "level": "l3"
  },
  "CAP_61975b71": {
   "en": "GMRF Structural Factor Graph Construction",
   "zh": "GMRF结构因子图构建",
   "level": "l3"
  },
  "CAP_d6543d69": {
   "en": "Loopy Belief Propagation 3D Inference",
   "zh": "Loopy信念传播3D推断",
   "level": "l3"
  },
  "CAP_381ed925": {
   "en": "TDLAS Open-Path Gas Measurement Fusion",
   "zh": "TDLAS开路气体测量融合",
   "level": "l3"
  },
  "CAP_54a74674": {
   "en": "Incremental 3D Gas Map Update",
   "zh": "3D气体地图增量更新",
   "level": "l3"
  },
  "CAP_78635c30": {
   "en": "Volumetric Gas Map Publishing",
   "zh": "三维体素气体地图发布",
   "level": "l3"
  },
  "CAP_c9dc24ef": {
   "en": "Gas Leak Detection",
   "zh": "气体泄漏检测",
   "level": "l2"
  },
  "CAP_e0ab432a": {
   "en": "MOS Gas Sensor ADC Acquisition",
   "zh": "MOS气体传感器ADC信号采集",
   "level": "l3"
  },
  "CAP_d0b147cc": {
   "en": "Gas Sensor Baseline Calibration",
   "zh": "气体传感器基线校准与漂移补偿",
   "level": "l3"
  },
  "CAP_7e90416e": {
   "en": "Gas Concentration Conversion",
   "zh": "气体浓度换算（Rs/R0到ppm/LEL）",
   "level": "l3"
  },
  "CAP_92547eb2": {
   "en": "Sliding Window Debounce Filter",
   "zh": "滑动窗口去抖时间滤波",
   "level": "l3"
  },
  "CAP_081ef7c8": {
   "en": "Leak Event Threshold Decision",
   "zh": "泄漏事件阈值判定",
   "level": "l3"
  },
  "CAP_a0089b0b": {
   "en": "Gas Alarm Trigger Integration",
   "zh": "气体报警触发与系统集成",
   "level": "l3"
  },
  "CAP_4cc06aa3": {
   "en": "Multi-sensor Array Synchronous Acquisition",
   "zh": "多传感器阵列同步采集",
   "level": "l3"
  },
  "CAP_73e7c8e5": {
   "en": "Temperature Humidity Gas Sensor Compensation",
   "zh": "气体传感器温湿度补偿",
   "level": "l3"
  },
  "CAP_834a3257": {
   "en": "E-nose Transient & Steady-State Feature Extraction",
   "zh": "电子鼻稳态与瞬态特征提取",
   "level": "l3"
  },
  "CAP_f8cff9fd": {
   "en": "Gas Classification with SVM/MLP",
   "zh": "基于SVM/MLP的气体分类与泄漏判定",
   "level": "l3"
  },
  "CAP_cb8c32c0": {
   "en": "Multi-cycle Decision Fusion",
   "zh": "多周期决策融合",
   "level": "l3"
  },
  "CAP_a5e0bef5": {
   "en": "Inspection Waypoint Navigation",
   "zh": "巡检航点导航",
   "level": "l3"
  },
  "CAP_3153b97f": {
   "en": "Geo-referenced Gas Sampling",
   "zh": "带位姿标签的气体采样",
   "level": "l3"
  },
  "CAP_e20ab393": {
   "en": "Background Concentration Subtraction",
   "zh": "背景浓度减除",
   "level": "l3"
  },
  "CAP_29e5062e": {
   "en": "Spatial Outlier Cluster Detection",
   "zh": "空间离群区域聚类检测",
   "level": "l3"
  },
  "CAP_19b96412": {
   "en": "Bio-inspired Reactive Plume Tracking",
   "zh": "仿生反应式羽流追踪",
   "level": "l2"
  },
  "CAP_211d965c": {
   "en": "Probabilistic Source Term Estimation",
   "zh": "概率式源项估计",
   "level": "l2"
  },
  "CAP_6487d5b8": {
   "en": "Graph-based Semantic-Aware Gas Source Localization",
   "zh": "图结构与语义增强气源定位",
   "level": "l2"
  },
  "CAP_359a2785": {
   "en": "Gas Concentration Sensing",
   "zh": "气体浓度传感",
   "level": "l3"
  },
  "CAP_c4a968c3": {
   "en": "Wind Measurement",
   "zh": "风向风速测量",
   "level": "l3"
  },
  "CAP_a644f6b9": {
   "en": "Plume Contact Detection",
   "zh": "羽流接触检测",
   "level": "l3"
  },
  "CAP_fbde04e0": {
   "en": "Upwind Surge Control",
   "zh": "逆风冲刺控制",
   "level": "l3"
  },
  "CAP_856e8563": {
   "en": "Crosswind Casting Search",
   "zh": "横风之字搜索",
   "level": "l3"
  },
  "CAP_bca25f9d": {
   "en": "Source Declaration Verification",
   "zh": "气源声明验证",
   "level": "l3"
  },
  "CAP_0858661e": {
   "en": "Wind Field Estimation",
   "zh": "风场估计",
   "level": "l3"
  },
  "CAP_05242e3c": {
   "en": "Dispersion Model Likelihood",
   "zh": "扩散模型似然计算",
   "level": "l3"
  },
  "CAP_959c9f4b": {
   "en": "Information Gain Navigation",
   "zh": "信息增益导航",
   "level": "l3"
  },
  "CAP_21b6d8e3": {
   "en": "Semantic Environment Mapping",
   "zh": "语义环境建图",
   "level": "l3"
  },
  "CAP_6d9a99ba": {
   "en": "Semantic Gas Source Prior Assignment",
   "zh": "语义气源先验分配",
   "level": "l3"
  },
  "CAP_7dae7892": {
   "en": "Graph-level Room Inference",
   "zh": "图级房间推理",
   "level": "l3"
  },
  "CAP_a4a10551": {
   "en": "Semantic-modulated Probabilistic Estimation",
   "zh": "语义调制概率估计",
   "level": "l3"
  },
  "CAP_5a3c8e91": {
   "en": "Semantic-guided Navigation",
   "zh": "语义引导导航",
   "level": "l3"
  },
  "CAP_5ca8e9bb": {
   "en": "LiDAR Scan Door Post Detection",
   "zh": "激光扫描门框立柱检测",
   "level": "l3"
  },
  "CAP_215b24d9": {
   "en": "Depth Image Door Frame Segmentation",
   "zh": "深度图门框分割",
   "level": "l3"
  },
  "CAP_4fdecdb2": {
   "en": "Door Centerline Computation",
   "zh": "门框中心线计算",
   "level": "l3"
  },
  "CAP_927bb239": {
   "en": "Align Pose Generation",
   "zh": "对齐位姿生成",
   "level": "l3"
  },
  "CAP_dc2d5c12": {
   "en": "Precise Door Passage Control",
   "zh": "门框精确穿越控制",
   "level": "l2"
  },
  "CAP_8c934e1d": {
   "en": "Narrow Passage DWA Control",
   "zh": "窄通道DWA控制",
   "level": "l3"
  },
  "CAP_8a0527f3": {
   "en": "Narrow Passage TEB Control",
   "zh": "窄通道TEB控制",
   "level": "l3"
  },
  "CAP_867fa0f3": {
   "en": "Door Passage Completion Verification",
   "zh": "门框穿越完成检测",
   "level": "l3"
  },
  "CAP_9998d20f": {
   "en": "Gimbal-Mounted Camera Scanning",
   "zh": "云台相机扫描控制",
   "level": "l3"
  },
  "CAP_ef62a873": {
   "en": "Edge-Based Gap Contour Extraction",
   "zh": "基于边缘的缝隙轮廓提取",
   "level": "l3"
  },
  "CAP_6260a1e3": {
   "en": "PnP-Based Relative Pose Solving",
   "zh": "PnP相对位姿求解",
   "level": "l3"
  },
  "CAP_cc387451": {
   "en": "Gap Traversal Waypoint Planning",
   "zh": "缝隙穿越航点规划",
   "level": "l3"
  },
  "CAP_5e68d321": {
   "en": "Aggressive Roll Attitude Planning",
   "zh": "激进滚转姿态规划",
   "level": "l3"
  },
  "CAP_9847900b": {
   "en": "Body Rate Control",
   "zh": "机体角速度控制",
   "level": "l3"
  },
  "CAP_d3c7bf43": {
   "en": "Gap Traversal State Machine",
   "zh": "缝隙穿越状态机",
   "level": "l3"
  },
  "CAP_fbcdfb95": {
   "en": "Monocular Image Stream Capture",
   "zh": "单目图像流采集",
   "level": "l3"
  },
  "CAP_1c045e8c": {
   "en": "End-to-End Gap Traversal Network",
   "zh": "端到端缝隙穿越网络",
   "level": "l2"
  },
  "CAP_c3ca1a7d": {
   "en": "CNN Gap Feature Encoding",
   "zh": "CNN缝隙特征编码",
   "level": "l3"
  },
  "CAP_c57ca3ca": {
   "en": "Trajectory Prediction Head",
   "zh": "轨迹预测头",
   "level": "l3"
  },
  "CAP_78fcc4c3": {
   "en": "Policy Output Post-Processing",
   "zh": "策略输出后处理",
   "level": "l3"
  },
  "CAP_eae5d9a0": {
   "en": "MPC Trajectory Tracking for Learned Policies",
   "zh": "学习策略MPC轨迹跟踪",
   "level": "l3"
  },
  "CAP_9208498c": {
   "en": "Learned Traversal Safety Monitor",
   "zh": "学习穿越安全监控",
   "level": "l3"
  },
  "CAP_5a3de1bc": {
   "en": "NIR Eye Feature Detection",
   "zh": "近红外眼部特征检测",
   "level": "l2"
  },
  "CAP_ceb11563": {
   "en": "NIR Image Acquisition",
   "zh": "近红外图像采集",
   "level": "l3"
  },
  "CAP_05ec1d38": {
   "en": "Glint Corneal Reflection Detection",
   "zh": "角膜反射点检测",
   "level": "l3"
  },
  "CAP_f393b69a": {
   "en": "PCCR Calibration Mapping",
   "zh": "PCCR特征计算与标定映射",
   "level": "l2"
  },
  "CAP_e1115515": {
   "en": "PCCR Feature Vector Computation",
   "zh": "PCCR特征向量计算",
   "level": "l3"
  },
  "CAP_012ab71f": {
   "en": "Gaze Calibration Mapping",
   "zh": "视线标定映射",
   "level": "l3"
  },
  "CAP_7d878543": {
   "en": "Gaze Output Postprocessing",
   "zh": "注视输出与后处理",
   "level": "l2"
  },
  "CAP_0a466ee1": {
   "en": "Pupil Diameter Measurement",
   "zh": "瞳孔直径测量",
   "level": "l3"
  },
  "CAP_a46cf438": {
   "en": "Inertial-Visual Multi-sensor Acquisition",
   "zh": "惯性-视觉多传感器数据采集",
   "level": "l2"
  },
  "CAP_c53056c5": {
   "en": "Stereo Image Acquisition",
   "zh": "双目图像采集",
   "level": "l3"
  },
  "CAP_047d80c3": {
   "en": "Inertial-Visual Gaze Stabilization",
   "zh": "惯性-视觉注视稳定",
   "level": "l2"
  },
  "CAP_18a0267b": {
   "en": "VOR Feedforward Compensation",
   "zh": "前庭眼反射前馈补偿",
   "level": "l3"
  },
  "CAP_309e5d88": {
   "en": "Visual Feature Tracking for OKR",
   "zh": "OKR视觉特征跟踪",
   "level": "l3"
  },
  "CAP_54465310": {
   "en": "OKR Visual Slip Correction",
   "zh": "视动反射滑移校正",
   "level": "l3"
  },
  "CAP_a9e94968": {
   "en": "Saccade and Pursuit Control",
   "zh": "扫视与平滑追踪控制",
   "level": "l2"
  },
  "CAP_3a36d609": {
   "en": "Saccade Planning and Execution",
   "zh": "扫视规划与执行",
   "level": "l3"
  },
  "CAP_b70fb7c0": {
   "en": "Smooth Pursuit Tracking",
   "zh": "平滑追踪",
   "level": "l3"
  },
  "CAP_2ac804f6": {
   "en": "Vergence Control",
   "zh": "辐辏控制",
   "level": "l3"
  },
  "CAP_91a05db1": {
   "en": "Gaze Mode Arbitration",
   "zh": "注视模式仲裁",
   "level": "l2"
  },
  "CAP_b37b3407": {
   "en": "Task-aware Viewpoint Requirement Modeling",
   "zh": "任务感知视点需求建模",
   "level": "l2"
  },
  "CAP_220b691d": {
   "en": "Task Perceptual Requirement Analysis",
   "zh": "任务感知需求分析",
   "level": "l3"
  },
  "CAP_f1253f3d": {
   "en": "Target Region Visibility Priority",
   "zh": "目标区域可见性优先级",
   "level": "l3"
  },
  "CAP_47a46237": {
   "en": "Viewpoint Sampling and Evaluation",
   "zh": "视点采样与评估",
   "level": "l2"
  },
  "CAP_084a0faa": {
   "en": "Visibility and Occlusion Assessment",
   "zh": "可见性与遮挡评估",
   "level": "l3"
  },
  "CAP_7851edc1": {
   "en": "Viewpoint Candidate Sampling and Scoring",
   "zh": "候选视点采样与评分",
   "level": "l3"
  },
  "CAP_881320a8": {
   "en": "Perception-aware Viewpoint Scoring",
   "zh": "感知感知视点评分",
   "level": "l3"
  },
  "CAP_2a65b792": {
   "en": "Viewpoint Reachability and Trajectory",
   "zh": "视点可达性与轨迹规划",
   "level": "l2"
  },
  "CAP_2660b2c3": {
   "en": "Reachability-Visibility Joint Constrained IK",
   "zh": "可达性-可见性联合约束逆运动学",
   "level": "l3"
  },
  "CAP_d460c839": {
   "en": "Camera Trajectory Generation for View Change",
   "zh": "视点切换相机轨迹生成",
   "level": "l3"
  },
  "CAP_4db0e4a8": {
   "en": "Coordinated Motion Execution",
   "zh": "协调运动执行",
   "level": "l3"
  },
  "CAP_72f99933": {
   "en": "Perceptual Feedback Replanning",
   "zh": "感知反馈视点重规划",
   "level": "l2"
  },
  "CAP_37aade29": {
   "en": "Perceptual Confidence Evaluation",
   "zh": "感知置信度评估",
   "level": "l3"
  },
  "CAP_8cda8f45": {
   "en": "Perceptual Feedback-based Viewpoint Replanning",
   "zh": "感知反馈视点重规划",
   "level": "l3"
  },
  "CAP_748d52aa": {
   "en": "Multi-object Belief State Maintenance",
   "zh": "多目标信念状态维护",
   "level": "l3"
  },
  "CAP_07b81308": {
   "en": "Information Gain Evaluation",
   "zh": "信息增益评估",
   "level": "l2"
  },
  "CAP_3961823d": {
   "en": "Gaze Candidate Generation",
   "zh": "注视候选区域生成",
   "level": "l3"
  },
  "CAP_1283eafa": {
   "en": "Cost-Benefit Gaze Target Selection",
   "zh": "代价-收益注视目标选择",
   "level": "l3"
  },
  "CAP_a475be8d": {
   "en": "Belief Update and Timing",
   "zh": "信念更新与时序调度",
   "level": "l2"
  },
  "CAP_81374153": {
   "en": "Gaze Timing Scheduling",
   "zh": "注视时序调度",
   "level": "l3"
  },
  "CAP_0a0c2660": {
   "en": "Exploration-Exploitation Balance",
   "zh": "探索-利用平衡",
   "level": "l3"
  },
  "CAP_600a53cc": {
   "en": "Gaze Mode Arbitration and Blending",
   "zh": "注视模式仲裁与混合",
   "level": "l3"
  },
  "CAP_22816145": {
   "en": "Face Perception for Gaze Following",
   "zh": "视线跟随人脸感知",
   "level": "l2"
  },
  "CAP_45f61a21": {
   "en": "Face Detection for Gaze Following",
   "zh": "视线跟随人脸检测",
   "level": "l3"
  },
  "CAP_02d09af7": {
   "en": "Head-Eye Patch Cropping",
   "zh": "头部眼部图像块裁剪",
   "level": "l3"
  },
  "CAP_bea7e8a1": {
   "en": "Dual-Branch Feature Extraction and Fusion",
   "zh": "双分支特征提取与融合",
   "level": "l2"
  },
  "CAP_efef9deb": {
   "en": "Gaze Direction Feature Encoding",
   "zh": "视线方向特征编码",
   "level": "l3"
  },
  "CAP_32f61d87": {
   "en": "Saliency Pathway Feature Extraction",
   "zh": "显著性分支特征提取",
   "level": "l3"
  },
  "CAP_fb94d9b3": {
   "en": "Gaze-Saliency Multi-Scale Fusion",
   "zh": "视线-显著性多尺度融合",
   "level": "l3"
  },
  "CAP_b6207bef": {
   "en": "Gaze Heatmap Prediction and Coordinate Output",
   "zh": "注视热图预测与坐标输出",
   "level": "l2"
  },
  "CAP_5faf964f": {
   "en": "Gaze Heatmap Prediction",
   "zh": "注视热图预测",
   "level": "l3"
  },
  "CAP_937d7ce3": {
   "en": "Gaze Point Extraction and Out-of-Frame Detection",
   "zh": "注视点提取与画面外检测",
   "level": "l3"
  },
  "CAP_64bcc9b4": {
   "en": "Eye Origin 3D Position Computation",
   "zh": "人眼3D起点计算",
   "level": "l3"
  },
  "CAP_9d985a3b": {
   "en": "Depth Acquisition and Ray-Scene Intersection",
   "zh": "深度获取与射线-场景求交",
   "level": "l2"
  },
  "CAP_52c62441": {
   "en": "Camera-World Coordinate Transform for Ray",
   "zh": "坐标变换与射线构建",
   "level": "l3"
  },
  "CAP_8475d615": {
   "en": "3D Object Detection and Gaze-Object Association",
   "zh": "3D物体检测与注视点-物体关联",
   "level": "l2"
  },
  "CAP_7613bd3c": {
   "en": "3D Object Detection and Segmentation",
   "zh": "3D物体检测与分割",
   "level": "l3"
  },
  "CAP_9bb77a03": {
   "en": "Gaze-Object Association",
   "zh": "注视点-物体关联",
   "level": "l3"
  },
  "CAP_8a99d6c3": {
   "en": "VLM Backbone Initialization for Robotics",
   "zh": "VLM骨干初始化与动作头接入",
   "level": "l3"
  },
  "CAP_e8e927c8": {
   "en": "Specialist Dataset Curation",
   "zh": "专用领域数据采集清洗与格式化",
   "level": "l3"
  },
  "CAP_b897f04e": {
   "en": "Training Monitoring and Checkpointing",
   "zh": "训练过程监控与Checkpoint管理",
   "level": "l3"
  },
  "CAP_c7d3f08d": {
   "en": "Adapter Deployment and Serving",
   "zh": "专用适配器部署与多适配器推理服务",
   "level": "l3"
  },
  "CAP_c2e3a3f9": {
   "en": "GRPO",
   "zh": "组相对策略优化",
   "level": "l3"
  },
  "CAP_d4149667": {
   "en": "Domain Corpus Curation",
   "zh": "大规模领域语料采集清洗预处理",
   "level": "l3"
  },
  "CAP_943e7bd6": {
   "en": "Domain-Adaptive Pretraining",
   "zh": "领域自适应继续预训练",
   "level": "l2"
  },
  "CAP_1c5fa75a": {
   "en": "Multi-Stage Evaluation",
   "zh": "多阶段评估与质量门控",
   "level": "l3"
  },
  "CAP_8d6a818f": {
   "en": "Model Compatibility Verification",
   "zh": "模型兼容性检查",
   "level": "l3"
  },
  "CAP_134da8b3": {
   "en": "Task Arithmetic Merging",
   "zh": "任务向量算术合并",
   "level": "l3"
  },
  "CAP_db5cf81c": {
   "en": "TIES-DARE Sparsified Merging",
   "zh": "TIES/DARE稀疏化模型合并",
   "level": "l3"
  },
  "CAP_17702741": {
   "en": "Model Soups Averaging",
   "zh": "Model Soups权重平均",
   "level": "l3"
  },
  "CAP_36c8977f": {
   "en": "Merge Hyperparameter Tuning",
   "zh": "合并超参调优与迭代",
   "level": "l3"
  },
  "CAP_56a3cbbf": {
   "en": "Merged Model Evaluation",
   "zh": "合并模型多任务评估",
   "level": "l3"
  },
  "CAP_b394c344": {
   "en": "Specialist Model Merging",
   "zh": "专用模型权重合并流水线",
   "level": "l2"
  },
  "CAP_a9bfc7b2": {
   "en": "ModelQuantizationAndLoading",
   "zh": "模型量化与加载",
   "level": "l3"
  },
  "CAP_a79028e2": {
   "en": "FullParameterDAPT",
   "zh": "全参数领域自适应预训练",
   "level": "l3"
  },
  "CAP_061cc47e": {
   "en": "PEFT-DAPT-LoRA",
   "zh": "参数高效领域自适应预训练（LoRA）",
   "level": "l3"
  },
  "CAP_2dd37446": {
   "en": "GAIL Implicit Reward Discriminator",
   "zh": "GAIL隐式判别器奖励",
   "level": "l3"
  },
  "CAP_297080e8": {
   "en": "GAIL Discriminator Reward Shaping",
   "zh": "GAIL判别器奖励塑形",
   "level": "l3"
  },
  "CAP_6b528602": {
   "en": "PPO Policy Optimization for GAIL",
   "zh": "PPO策略优化（GAIL生成器）",
   "level": "l3"
  },
  "CAP_ef0ff404": {
   "en": "TRPO Baseline",
   "zh": "TRPO基线",
   "level": "l3"
  },
  "CAP_12e43755": {
   "en": "Expert Trajectory Preprocessing",
   "zh": "专家轨迹预处理（三元组）",
   "level": "l3"
  },
  "CAP_89f91d46": {
   "en": "Unbiased Adversarial Reward Extraction",
   "zh": "无偏对抗奖励提取",
   "level": "l3"
  },
  "CAP_00e71cbf": {
   "en": "SAC/TD3 Actor Policy Update",
   "zh": "SAC/TD3离策略Actor更新",
   "level": "l3"
  },
  "CAP_19a45131": {
   "en": "AIRL Reward Disentanglement and Transfer",
   "zh": "AIRL奖励解耦与迁移",
   "level": "l3"
  },
  "CAP_2cab57a0": {
   "en": "Off-policy Adversarial Imitation Training",
   "zh": "离策略对抗模仿训练",
   "level": "l2"
  },
  "CAP_c9608b7a": {
   "en": "Likelihood Ratio OOD Score Computation",
   "zh": "似然比OOD评分计算",
   "level": "l3"
  },
  "CAP_595606e9": {
   "en": "Input Complexity Estimation",
   "zh": "输入复杂度估计",
   "level": "l3"
  },
  "CAP_e61f010b": {
   "en": "Semantic Generative Model Training",
   "zh": "语义生成模型训练",
   "level": "l3"
  },
  "CAP_59d87978": {
   "en": "Glow Training",
   "zh": "Glow模型训练",
   "level": "l3"
  },
  "CAP_8f9e84ec": {
   "en": "Background Model Construction",
   "zh": "背景模型构建",
   "level": "l2"
  },
  "CAP_5aad7719": {
   "en": "Perturbed Background Model Training",
   "zh": "扰动背景模型训练",
   "level": "l3"
  },
  "CAP_b765904a": {
   "en": "Compressor-based Complexity Estimation",
   "zh": "基于压缩器的复杂度估计",
   "level": "l3"
  },
  "CAP_b898c5b3": {
   "en": "Likelihood Ratio Calculation",
   "zh": "似然比计算",
   "level": "l3"
  },
  "CAP_f4e35a7f": {
   "en": "Complexity-corrected OOD Score",
   "zh": "复杂度校正OOD分数",
   "level": "l3"
  },
  "CAP_ac6cff11": {
   "en": "OOD Decision and Evaluation",
   "zh": "OOD判定与评估",
   "level": "l2"
  },
  "CAP_44850e40": {
   "en": "Threshold-based OOD Decision",
   "zh": "基于阈值的OOD判定",
   "level": "l3"
  },
  "CAP_3a66d859": {
   "en": "OOD Metrics Evaluation",
   "zh": "OOD指标评估",
   "level": "l3"
  },
  "CAP_22a9554c": {
   "en": "VAE Reconstruction OOD Detection Pipeline",
   "zh": "VAE重构概率OOD检测管道",
   "level": "l2"
  },
  "CAP_464f0a22": {
   "en": "VAE Architecture Construction",
   "zh": "VAE架构构建",
   "level": "l3"
  },
  "CAP_7acb0ca4": {
   "en": "VAE Latent Density Estimation",
   "zh": "VAE隐空间密度估计",
   "level": "l3"
  },
  "CAP_c9b31039": {
   "en": "VAE OOD Input Preprocessing",
   "zh": "VAE OOD输入预处理",
   "level": "l3"
  },
  "CAP_02ea0471": {
   "en": "Multi-z Sampling and Reparameterization",
   "zh": "多z采样与重参数化",
   "level": "l3"
  },
  "CAP_57da470d": {
   "en": "Reconstruction Probability Computation",
   "zh": "重构概率计算",
   "level": "l3"
  },
  "CAP_e132c9f5": {
   "en": "VAE Reconstruction Threshold Calibration",
   "zh": "VAE重构阈值校准",
   "level": "l3"
  },
  "CAP_5ea59b68": {
   "en": "VAE Model Training",
   "zh": "VAE模型训练",
   "level": "l2"
  },
  "CAP_a53ed347": {
   "en": "VAE OOD Inference and Scoring",
   "zh": "VAE OOD推理与评分",
   "level": "l2"
  },
  "CAP_9a816d33": {
   "en": "Diffusion Model OOD Detection Pipeline",
   "zh": "扩散模型OOD检测管道",
   "level": "l2"
  },
  "CAP_21734f60": {
   "en": "Diffusion Architecture Construction",
   "zh": "扩散模型架构构建",
   "level": "l3"
  },
  "CAP_bbfc9dd5": {
   "en": "DDPM Noise-Prediction Training",
   "zh": "DDPM噪声预测训练",
   "level": "l3"
  },
  "CAP_29bacdf2": {
   "en": "Diffusion OOD Threshold Calibration",
   "zh": "扩散模型OOD阈值校准",
   "level": "l3"
  },
  "CAP_ad2be8dc": {
   "en": "Diffusion Input Preprocessing",
   "zh": "扩散模型输入预处理",
   "level": "l3"
  },
  "CAP_fb78a36c": {
   "en": "Noise Sampling",
   "zh": "噪声采样",
   "level": "l3"
  },
  "CAP_bcdac53c": {
   "en": "Reverse Diffusion Reconstruction",
   "zh": "逆扩散去噪重构",
   "level": "l3"
  },
  "CAP_d7a0808c": {
   "en": "Reconstruction Error Computation (MSE)",
   "zh": "重构误差计算-MSE",
   "level": "l3"
  },
  "CAP_9e555262": {
   "en": "Perceptual Error Computation (LPIPS)",
   "zh": "重构感知误差计算-LPIPS",
   "level": "l3"
  },
  "CAP_91606bb1": {
   "en": "Multi-noise Aggregation",
   "zh": "多噪声重构结果聚合",
   "level": "l3"
  },
  "CAP_6f6a9b39": {
   "en": "Multi-Noise Reconstruction and Error Computation",
   "zh": "多噪声重构与误差计算",
   "level": "l2"
  },
  "CAP_93c9043e": {
   "en": "Noise Sampling along t-chain",
   "zh": "噪声采样",
   "level": "l3"
  },
  "CAP_2a6c2e67": {
   "en": "Reconstruction Perceptual Error Computation - LPIPS",
   "zh": "重构感知误差计算-LPIPS",
   "level": "l3"
  },
  "CAP_16385c90": {
   "en": "OOD Score Aggregation and Decision",
   "zh": "评分聚合与OOD判定",
   "level": "l2"
  },
  "CAP_ed4d0b0b": {
   "en": "Multi-noise Reconstruction Aggregation",
   "zh": "多噪声重构结果聚合",
   "level": "l3"
  },
  "CAP_0ee215f6": {
   "en": "Diffusion OOD Data Preparation",
   "zh": "扩散模型OOD数据准备",
   "level": "l2"
  },
  "CAP_c370b3a8": {
   "en": "ID Dataset Loading and Preprocessing",
   "zh": "ID数据集加载与预处理",
   "level": "l3"
  },
  "CAP_1915a7e5": {
   "en": "OOD Validation Set Preparation",
   "zh": "OOD验证集准备",
   "level": "l3"
  },
  "CAP_cd6f46ae": {
   "en": "Diffusion Model Architecture and Schedule Design",
   "zh": "扩散模型架构与调度设计",
   "level": "l2"
  },
  "CAP_fc52e878": {
   "en": "U-Net Architecture Construction",
   "zh": "U-Net架构构建",
   "level": "l3"
  },
  "CAP_7a1ba781": {
   "en": "Noise Schedule Definition",
   "zh": "噪声调度定义",
   "level": "l3"
  },
  "CAP_148c9d3e": {
   "en": "DDPM Training with Simplified Objective",
   "zh": "DDPM简化目标训练",
   "level": "l3"
  },
  "CAP_15b66f36": {
   "en": "Multi-noise Level Reconstruction",
   "zh": "多噪声水平重构",
   "level": "l2"
  },
  "CAP_cb4e6438": {
   "en": "Multi-noise Level Sampling",
   "zh": "多噪声水平采样",
   "level": "l3"
  },
  "CAP_c0342b31": {
   "en": "Reconstruction Error Computation and Aggregation",
   "zh": "重构误差计算与聚合",
   "level": "l2"
  },
  "CAP_ff59d630": {
   "en": "MSE and LPIPS Error Computation",
   "zh": "MSE与LPIPS误差计算",
   "level": "l3"
  },
  "CAP_ee548093": {
   "en": "Z-score Normalization and Aggregation",
   "zh": "Z-score标准化与聚合",
   "level": "l3"
  },
  "CAP_e209d0ae": {
   "en": "Threshold Calibration and OOD Decision",
   "zh": "阈值校准与OOD判定",
   "level": "l2"
  },
  "CAP_43c4af0c": {
   "en": "Video Tokenization",
   "zh": "视频分词编码",
   "level": "l2"
  },
  "CAP_a7243450": {
   "en": "Temporal Context Conditioning",
   "zh": "时序上下文条件注入",
   "level": "l3"
  },
  "CAP_1225e4d9": {
   "en": "Diffusion-based Video Generation",
   "zh": "扩散视频生成",
   "level": "l2"
  },
  "CAP_afb8f6da": {
   "en": "Noise Schedule Initialization",
   "zh": "扩散噪声调度初始化",
   "level": "l3"
  },
  "CAP_a3888354": {
   "en": "Diffusion Transformer Denoising",
   "zh": "扩散Transformer去噪",
   "level": "l3"
  },
  "CAP_33ed741a": {
   "en": "Generative Safety Filtering",
   "zh": "生成内容安全过滤",
   "level": "l3"
  },
  "CAP_7186d61f": {
   "en": "Video Decoding Post-Processing",
   "zh": "视频解码后处理",
   "level": "l2"
  },
  "CAP_169db4a9": {
   "en": "Forward Dynamics Rollout",
   "zh": "前向动力学推演",
   "level": "l3"
  },
  "CAP_446f35d1": {
   "en": "Generative Simulation Evaluation",
   "zh": "生成式仿真评估",
   "level": "l2"
  },
  "CAP_8f11a457": {
   "en": "Synthetic Data Export",
   "zh": "合成数据导出",
   "level": "l3"
  },
  "CAP_7e7178a3": {
   "en": "Closed-Loop Policy Evaluation",
   "zh": "闭环策略评估",
   "level": "l3"
  },
  "CAP_086d5062": {
   "en": "Prior Dynamics Prediction",
   "zh": "先验动力学预测",
   "level": "l3"
  },
  "CAP_5c5dc9f2": {
   "en": "Reward Prediction",
   "zh": "奖励预测",
   "level": "l3"
  },
  "CAP_9b2be3bd": {
   "en": "Continue Prediction",
   "zh": "终止预测",
   "level": "l3"
  },
  "CAP_87a5e63c": {
   "en": "Latent Imagination Planning",
   "zh": "潜空间想象规划",
   "level": "l2"
  },
  "CAP_7af2e969": {
   "en": "Value Estimation",
   "zh": "潜空间价值估计",
   "level": "l3"
  },
  "CAP_fa694966": {
   "en": "Actor-Critic Latent Training",
   "zh": "Actor-Critic潜空间训练",
   "level": "l3"
  },
  "CAP_2062c919": {
   "en": "Model-Based Deployment",
   "zh": "模型驱动部署",
   "level": "l2"
  },
  "CAP_0a0c4539": {
   "en": "Environment Interaction Loop",
   "zh": "环境交互循环",
   "level": "l3"
  },
  "CAP_8765bcf2": {
   "en": "Experience Replay Buffer",
   "zh": "经验回放缓冲区",
   "level": "l3"
  },
  "CAP_faff5136": {
   "en": "Latent Action Inference",
   "zh": "潜在动作推断",
   "level": "l2"
  },
  "CAP_92f9a166": {
   "en": "Latent Action VQ Encoding",
   "zh": "潜在动作VQ编码",
   "level": "l3"
  },
  "CAP_94d2a23b": {
   "en": "Action Space Discovery",
   "zh": "动作空间发现",
   "level": "l3"
  },
  "CAP_5763e202": {
   "en": "Memory Module",
   "zh": "三级记忆模块",
   "level": "l2"
  },
  "CAP_30b61e01": {
   "en": "Short-Term Memory Management",
   "zh": "短期记忆管理",
   "level": "l3"
  },
  "CAP_54573bb4": {
   "en": "Long-Term Memory Summarization",
   "zh": "长期记忆摘要",
   "level": "l3"
  },
  "CAP_0b171452": {
   "en": "Spatio-Temporal Video Generation",
   "zh": "时空视频生成",
   "level": "l2"
  },
  "CAP_067c1bee": {
   "en": "Frame VQ Tokenization",
   "zh": "帧VQ分词",
   "level": "l3"
  },
  "CAP_148dadd0": {
   "en": "Interactive Rendering Loop",
   "zh": "交互式渲染循环",
   "level": "l2"
  },
  "CAP_8d19fa54": {
   "en": "Action Input Processing",
   "zh": "动作输入处理",
   "level": "l3"
  },
  "CAP_0a65e3d1": {
   "en": "World State Update",
   "zh": "世界状态更新",
   "level": "l3"
  },
  "CAP_5eb39312": {
   "en": "Multi-Agent World Simulation",
   "zh": "多智能体世界模拟",
   "level": "l2"
  },
  "CAP_b1a30657": {
   "en": "Multi-Player Action Conditioning",
   "zh": "多玩家动作条件",
   "level": "l3"
  },
  "CAP_5f09a4b6": {
   "en": "Shared World Rendering",
   "zh": "共享世界渲染",
   "level": "l3"
  },
  "CAP_31a645e3": {
   "en": "Onboard Failsafe Geofence Response",
   "zh": "固件自主围栏失效保护响应",
   "level": "l2"
  },
  "CAP_14d0712e": {
   "en": "Fence Severity Action Mapping",
   "zh": "围栏严重度动作映射",
   "level": "l3"
  },
  "CAP_2bdbb558": {
   "en": "Failsafe Navigation Mode Switching",
   "zh": "失效保护导航模式切换",
   "level": "l3"
  },
  "CAP_a4569d2a": {
   "en": "Fence Violation Alert Messaging",
   "zh": "围栏违规告警消息发布",
   "level": "l3"
  },
  "CAP_2969c8d4": {
   "en": "Failsafe Position Hold",
   "zh": "失效保护位置保持",
   "level": "l3"
  },
  "CAP_e45ca9ca": {
   "en": "Failsafe Return To Home",
   "zh": "失效保护自动返航",
   "level": "l3"
  },
  "CAP_963bf564": {
   "en": "Failsafe Auto Land",
   "zh": "失效保护自动降落",
   "level": "l3"
  },
  "CAP_5190343c": {
   "en": "Failsafe Emergency Terminate",
   "zh": "失效保护紧急终止",
   "level": "l3"
  },
  "CAP_f40b6825": {
   "en": "Failsafe State Monitoring and Recovery",
   "zh": "失效保护状态监控与恢复",
   "level": "l3"
  },
  "CAP_f856b4b7": {
   "en": "Safety-Rated Hardware Interlock Geofence Response",
   "zh": "安全级硬件联锁围栏响应",
   "level": "l2"
  },
  "CAP_fc839971": {
   "en": "Dynamic Safety Zone Set Switching",
   "zh": "动态安全区域集切换",
   "level": "l3"
  },
  "CAP_c8554eb5": {
   "en": "OSSD Dual-Channel Safety Output",
   "zh": "OSSD双通道安全输出",
   "level": "l3"
  },
  "CAP_49fcd055": {
   "en": "Safety Demand Generation from Safety Controller",
   "zh": "安全控制器需求生成",
   "level": "l3"
  },
  "CAP_1335d1ed": {
   "en": "Industrial Safety Zone Tiered Speed Limit",
   "zh": "工业安全区分层限速",
   "level": "l3"
  },
  "CAP_811310dc": {
   "en": "Safety-Bus Triggered STO",
   "zh": "安全总线触发STO",
   "level": "l3"
  },
  "CAP_2bf20b7c": {
   "en": "Safety Stop Execution and Restart Interlock",
   "zh": "安全停止执行与重启联锁",
   "level": "l3"
  },
  "CAP_c113646b": {
   "en": "Operator Notification and Escalation Geofence Response",
   "zh": "操作员通知与升级围栏响应",
   "level": "l2"
  },
  "CAP_94887ee7": {
   "en": "Remote Operator Intervention Command Dispatch",
   "zh": "远程操作员干预指令下发",
   "level": "l3"
  },
  "CAP_3aa42362": {
   "en": "Intervention Execution Monitoring and Audit Logging",
   "zh": "干预执行监控与事件审计",
   "level": "l3"
  },
  "CAP_9acf359c": {
   "en": "Remote Telematics Alert Notification",
   "zh": "远程遥测告警通知",
   "level": "l3"
  },
  "CAP_a67cbdbe": {
   "en": "Multi-channel Notification Dispatch",
   "zh": "多渠道通知分发",
   "level": "l3"
  },
  "CAP_83c1859b": {
   "en": "Observability Alerting and Notification",
   "zh": "可观测性告警与通知",
   "level": "l3"
  },
  "CAP_e7cf836b": {
   "en": "FC 3D Fence Parameter Configuration",
   "zh": "飞控三维围栏参数配置",
   "level": "l2"
  },
  "CAP_a72283a6": {
   "en": "Fence Height Parameter Configuration",
   "zh": "围栏高度与动作参数配置",
   "level": "l3"
  },
  "CAP_7e60386e": {
   "en": "Fence Return Point Setting",
   "zh": "围栏返航点设置",
   "level": "l3"
  },
  "CAP_01d365ba": {
   "en": "Altitude Limit Enforcement",
   "zh": "全局高度上下限执行",
   "level": "l3"
  },
  "CAP_41a6c7f5": {
   "en": "Cylindrical Fence 3D Inclusion Check",
   "zh": "圆柱围栏三维包含性检测",
   "level": "l3"
  },
  "CAP_b4ca2c0e": {
   "en": "Polygon Prism Fence 3D Check",
   "zh": "多边形垂直棱柱围栏三维包含性检测",
   "level": "l3"
  },
  "CAP_9f3c3ab9": {
   "en": "Fence Breach Action Execution",
   "zh": "围栏越界动作执行",
   "level": "l3"
  },
  "CAP_c477bad8": {
   "en": "Fence Inclusion Exclusion Typing",
   "zh": "围栏包含排除语义标注",
   "level": "l3"
  },
  "CAP_98b9e82e": {
   "en": "Industrial 3D Safety Zone Configuration",
   "zh": "工业机器人3D安全区配置",
   "level": "l2"
  },
  "CAP_6f7e6d44": {
   "en": "Cartesian Volume Point Inclusion Check",
   "zh": "笛卡尔3D体积点包含性检测",
   "level": "l3"
  },
  "CAP_68f1e734": {
   "en": "Dual Channel Safety Cross Validation",
   "zh": "安全控制器双通道交叉验证",
   "level": "l3"
  },
  "CAP_10fc7103": {
   "en": "Safety Zone Configuration",
   "zh": "安全区域配置",
   "level": "l3"
  },
  "CAP_823f4fa5": {
   "en": "Robot Safe Motion Function Configuration",
   "zh": "机器人安全运动功能配置",
   "level": "l3"
  },
  "CAP_0f050785": {
   "en": "3D Zone Intrusion Evaluation",
   "zh": "三维区域入侵评估",
   "level": "l3"
  },
  "CAP_01aec57c": {
   "en": "Dual CPU Motor State Monitoring",
   "zh": "双CPU电机状态监控",
   "level": "l3"
  },
  "CAP_ed2e0af4": {
   "en": "Safety Zone Intrusion Detection",
   "zh": "安全区域入侵检测",
   "level": "l3"
  },
  "CAP_a6f39356": {
   "en": "Voxel Occupancy Fence Check",
   "zh": "体素占据围栏检测",
   "level": "l3"
  },
  "CAP_6c996e37": {
   "en": "ESDF Safety Distance Fence",
   "zh": "ESDF安全距离围栏检测",
   "level": "l3"
  },
  "CAP_4f75a7ea": {
   "en": "Elevation Traversability Fence",
   "zh": "高程可通行围栏检测",
   "level": "l3"
  },
  "CAP_c08cd281": {
   "en": "Voxel Map Temporal Maintenance",
   "zh": "体素地图时空维护",
   "level": "l3"
  },
  "CAP_b38822ee": {
   "en": "Cross-Floor 3D Traversable Map Building",
   "zh": "跨楼层连续3D可通行地图构建",
   "level": "l3"
  },
  "CAP_168f3ff7": {
   "en": "2D Costmap Projection from 3D Map",
   "zh": "3D地图到2D代价地图投影",
   "level": "l3"
  },
  "CAP_e3ceaf53": {
   "en": "Traversability-Aware Confidence Threshold",
   "zh": "可通行性感知置信度阈值过滤",
   "level": "l3"
  },
  "CAP_cf3e84e5": {
   "en": "STVL Voxel Decay Clearing",
   "zh": "STVL视锥标记与体素衰减清除",
   "level": "l3"
  },
  "CAP_9e73c9fe": {
   "en": "Frustum Accelerated Clearing",
   "zh": "视锥加速清空",
   "level": "l3"
  },
  "CAP_1860d471": {
   "en": "Embedded Geofence Polygon/Circle Containment Check",
   "zh": "嵌入式地理围栏多边形/圆形包含性检测",
   "level": "l2"
  },
  "CAP_26feadd8": {
   "en": "PNPOLY Ray Casting Point-in-Polygon Test",
   "zh": "PNPOLY 射线法点在多边形内判定",
   "level": "l3"
  },
  "CAP_178dbc45": {
   "en": "Circle Fence Distance Squared Check",
   "zh": "圆形围栏距离检测",
   "level": "l3"
  },
  "CAP_dbac6552": {
   "en": "Geofence Position Source Selection and Coordinate Transform",
   "zh": "围栏检测位置获取与坐标转换",
   "level": "l3"
  },
  "CAP_ca7992ae": {
   "en": "Geofence Violation Persistence Debounce Confirmation",
   "zh": "围栏违规持续性去抖确认",
   "level": "l3"
  },
  "CAP_ea504795": {
   "en": "Geofence Status uORB/MAVLink Publication",
   "zh": "围栏状态 uORB/MAVLink 发布",
   "level": "l3"
  },
  "CAP_e6b4cf31": {
   "en": "Dual-Channel Encoder Cross Check",
   "zh": "双通道编码器位置采集与交叉校验",
   "level": "l3"
  },
  "CAP_a370aaed": {
   "en": "Safety Zone Primitive Containment Check",
   "zh": "安全区域几何原语包含性判定",
   "level": "l3"
  },
  "CAP_0c37d1d1": {
   "en": "Safety Response Classification",
   "zh": "安全响应类型判定与选择",
   "level": "l3"
  },
  "CAP_3f800f50": {
   "en": "Polygon Signed Distance Field Computation",
   "zh": "多边形有符号距离场(SDF)计算",
   "level": "l3"
  },
  "CAP_58cb244c": {
   "en": "STL Robustness Geofence Monitoring",
   "zh": "STL鲁棒度围栏在线监控",
   "level": "l3"
  },
  "CAP_6e7f87d5": {
   "en": "Geofence Polygon/Circle Metadata Parsing",
   "zh": "围栏多边形/圆形元数据解析",
   "level": "l3"
  },
  "CAP_80f49c55": {
   "en": "SingleIntegratorAnalyticQP",
   "zh": "单积分器解析QP求解",
   "level": "l3"
  },
  "CAP_30d2a929": {
   "en": "Constrained State Space Construction",
   "zh": "约束状态空间构造",
   "level": "l3"
  },
  "CAP_55e26f12": {
   "en": "Constrained Path Solving",
   "zh": "约束路径求解",
   "level": "l3"
  },
  "CAP_b2d19c11": {
   "en": "Constrained Path Interpolation",
   "zh": "约束路径插值",
   "level": "l3"
  },
  "CAP_f4bbde36": {
   "en": "Pose-Constrained Sampling Planning (TSR-based)",
   "zh": "位姿约束采样规划（基于TSR）",
   "level": "l3"
  },
  "CAP_02a0471d": {
   "en": "KOMO k-Order Markov Constrained Trajectory Optimization",
   "zh": "KOMO k-order Markov几何约束轨迹优化",
   "level": "l2"
  },
  "CAP_fc34aa5d": {
   "en": "KOMO Geometric Feature Constraints",
   "zh": "KOMO几何Feature约束定义",
   "level": "l3"
  },
  "CAP_7f9d751a": {
   "en": "KOMO Mode Switch Phasing",
   "zh": "KOMO多phase模式切换建模",
   "level": "l3"
  },
  "CAP_7ff48a3e": {
   "en": "Augmented Lagrangian NLP Solving for Continuous Actions",
   "zh": "连续动作augmented Lagrangian NLP求解",
   "level": "l3"
  },
  "CAP_84aa5ecd": {
   "en": "Continuous Action Trajectory Extraction",
   "zh": "连续动作轨迹提取",
   "level": "l3"
  },
  "CAP_f141020d": {
   "en": "TAMP Geometric Feasibility Reasoning",
   "zh": "TAMP几何可行性推理",
   "level": "l2"
  },
  "CAP_e5c14294": {
   "en": "Geometric Oracle Dispatch",
   "zh": "几何oracle派发与调用",
   "level": "l3"
  },
  "CAP_32165cb1": {
   "en": "Infeasibility Feedback Learning",
   "zh": "不可行性反馈回灌",
   "level": "l3"
  },
  "CAP_83bc3f72": {
   "en": "PDDLStream Adaptive Hybrid Search",
   "zh": "PDDLStream自适应符号-几何混合搜索",
   "level": "l3"
  },
  "CAP_bd816b28": {
   "en": "TAMP Plan Solving and Verification",
   "zh": "TAMP规划求解与验证",
   "level": "l3"
  },
  "CAP_ea9ad08a": {
   "en": "LGP-KOMO Alternating Search",
   "zh": "LGP-KOMO交替搜索",
   "level": "l3"
  },
  "CAP_fb457fe9": {
   "en": "Logic to KOMO Translation",
   "zh": "符号-几何约束翻译",
   "level": "l3"
  },
  "CAP_fe3b5d3e": {
   "en": "Lazy Motion Planning Verification",
   "zh": "惰性运动规划验证",
   "level": "l3"
  },
  "CAP_ca1411a6": {
   "en": "Analytical Antipodal Contact Geometry and ICR Computation",
   "zh": "解析对向接触几何与独立接触区域构造",
   "level": "l2"
  },
  "CAP_f2f10070": {
   "en": "3D Mesh Surface Antipodal Geometry Detection",
   "zh": "3D网格表面对向几何判定",
   "level": "l3"
  },
  "CAP_fb5013d4": {
   "en": "Independent Contact Region Computation",
   "zh": "独立接触区域计算",
   "level": "l3"
  },
  "CAP_19c58d52": {
   "en": "Shape Primitive Decomposition Grasp Planning",
   "zh": "形状基元分解抓取规划",
   "level": "l2"
  },
  "CAP_4a57c204": {
   "en": "Shape Primitive Decomposition for Grasping",
   "zh": "物体形状基元分解",
   "level": "l3"
  },
  "CAP_1d714129": {
   "en": "Primitive Grasp Rule Matching",
   "zh": "基元抓取规则匹配",
   "level": "l3"
  },
  "CAP_03e2d81c": {
   "en": "Convex Decomposition Part Grasp Planning",
   "zh": "凸分解部件抓取规划",
   "level": "l3"
  },
  "CAP_e368f537": {
   "en": "Primitive-Driven Pre-Grasp Pose Generation",
   "zh": "基元驱动预抓取位姿生成",
   "level": "l3"
  },
  "CAP_94e0566d": {
   "en": "LLM Semantic Part Grasp Reasoning",
   "zh": "LLM语义部件抓取推理",
   "level": "l3"
  },
  "CAP_b6e30d1e": {
   "en": "Surface Graspability Mapping",
   "zh": "物体表面可抓取性映射",
   "level": "l3"
  },
  "CAP_ed45a3b4": {
   "en": "Hand Synergy-Based Grasp Synthesis",
   "zh": "手协同抓取合成",
   "level": "l3"
  },
  "CAP_4cd7f570": {
   "en": "Analytic Force-Closure Grasp Prediction Pipeline",
   "zh": "解析力闭合抓取预测管线",
   "level": "l2"
  },
  "CAP_c5f908d5": {
   "en": "Hand Model Loading",
   "zh": "手模型加载配置",
   "level": "l3"
  },
  "CAP_8e43c97c": {
   "en": "Friction Cone Modeling",
   "zh": "摩擦锥建模",
   "level": "l3"
  },
  "CAP_2cedbad8": {
   "en": "Grasp Pose Extraction (Mesh-based)",
   "zh": "Mesh抓取位姿提取",
   "level": "l3"
  },
  "CAP_b15b2cfc": {
   "en": "IK Reachability Grasp Filter",
   "zh": "IK可达性抓取过滤",
   "level": "l3"
  },
  "CAP_368d0721": {
   "en": "Point Cloud Antipodal Grasp Pipeline",
   "zh": "点云对向几何抓取预测管线",
   "level": "l2"
  },
  "CAP_e197b301": {
   "en": "Point Cloud Workspace Cropping",
   "zh": "工作空间裁剪",
   "level": "l3"
  },
  "CAP_9f5ceb69": {
   "en": "Local Reference Frame (Darboux)",
   "zh": "Darboux局部参考系计算",
   "level": "l3"
  },
  "CAP_e5892d9b": {
   "en": "Antipodal Geometry Grid Search",
   "zh": "对向几何二维网格搜索",
   "level": "l3"
  },
  "CAP_9090ab50": {
   "en": "Hand Push-to-Contact",
   "zh": "手前推接触判定",
   "level": "l3"
  },
  "CAP_03e89e52": {
   "en": "Antipodal Constraint Verification",
   "zh": "对向几何约束验证",
   "level": "l3"
  },
  "CAP_bb61833e": {
   "en": "Grasp Candidate Classification",
   "zh": "抓取候选分类打分",
   "level": "l3"
  },
  "CAP_05c0b246": {
   "en": "Grasp Clustering and NMS",
   "zh": "抓取聚类去重",
   "level": "l3"
  },
  "CAP_ee7f6362": {
   "en": "Primitive Shape Grasp Pipeline",
   "zh": "基元拟合规则抓取预测管线",
   "level": "l2"
  },
  "CAP_44827c21": {
   "en": "Above-Table Object Extraction",
   "zh": "桌面上方物体提取",
   "level": "l3"
  },
  "CAP_35ee4c26": {
   "en": "OBB Fitting",
   "zh": "有向包围盒(OBB)拟合",
   "level": "l3"
  },
  "CAP_0a014db8": {
   "en": "Cylinder RANSAC Fitting",
   "zh": "圆柱体RANSAC拟合",
   "level": "l3"
  },
  "CAP_3ad41a5d": {
   "en": "Primitive Shape Selection",
   "zh": "基元类型选择",
   "level": "l3"
  },
  "CAP_7b7be434": {
   "en": "Rule-Based Grasp Generation",
   "zh": "基于规则的抓取位姿生成",
   "level": "l3"
  },
  "CAP_b6a7f2ad": {
   "en": "Grasp Approach/Retreat Trajectory",
   "zh": "抓取Approach/Retreat轨迹生成",
   "level": "l3"
  },
  "CAP_131e1eac": {
   "en": "Tabletop Grasp Collision Filter",
   "zh": "桌面场景抓取可行性过滤",
   "level": "l3"
  },
  "CAP_b62acde7": {
   "en": "Tightly-Coupled LiDAR-IMU-GPS Factor Graph Geo-Referenced SLAM",
   "zh": "紧耦合LiDAR-IMU-GPS因子图地理参考SLAM",
   "level": "l2"
  },
  "CAP_0cc0a891": {
   "en": "Geo-Referenced Point Cloud Map Assembly",
   "zh": "地理参考点云地图组装",
   "level": "l3"
  },
  "CAP_e7a40d07": {
   "en": "GPS Global Fusion",
   "zh": "GPS全局融合",
   "level": "l3"
  },
  "CAP_778e55d1": {
   "en": "EKF-Driven Geo-Referenced Mapping",
   "zh": "EKF融合odometry驱动地理参考建图",
   "level": "l3"
  },
  "CAP_7087ef4b": {
   "en": "Additive EKF Multi-Sensor Fusion",
   "zh": "加性EKF多源融合定位",
   "level": "l2"
  },
  "CAP_b2890bff": {
   "en": "GPS Local Position EKF Fusion",
   "zh": "GPS局部位置EKF融合",
   "level": "l3"
  },
  "CAP_c9287b83": {
   "en": "Aerial RTK-PPK Direct Georeferencing Mapping",
   "zh": "航空摄影测量/机载LiDAR RTK-PPK直接地理参考建图",
   "level": "l2"
  },
  "CAP_6383255f": {
   "en": "GNSS-IMU PPK/RTK Trajectory Post-Processing",
   "zh": "GNSS-IMU PPK/RTK轨迹后处理",
   "level": "l3"
  },
  "CAP_f481c83f": {
   "en": "Sensor Boresight-Lever Arm Calibration",
   "zh": "IMU-相机视轴与杆臂标定",
   "level": "l3"
  },
  "CAP_f4a79770": {
   "en": "EO Interpolation and Image Geotagging",
   "zh": "外方位元素插值与影像地理标记",
   "level": "l3"
  },
  "CAP_6e0498a2": {
   "en": "SfM BA with GPS-GCP Prior",
   "zh": "带GPS/GCP先验约束的SfM光束法平差",
   "level": "l3"
  },
  "CAP_4a4e5f64": {
   "en": "MVS Dense Point Cloud Reconstruction",
   "zh": "多视图立体稠密点云重建",
   "level": "l3"
  },
  "CAP_1486bd56": {
   "en": "DEM/DSM Generation and Orthomosaicing",
   "zh": "DEM/DSM生成与正射影像拼接",
   "level": "l3"
  },
  "CAP_65acd562": {
   "en": "RTK Fixed Solution Acquisition",
   "zh": "RTK固定解获取",
   "level": "l3"
  },
  "CAP_a9d743fc": {
   "en": "Global Structure-from-Motion Reconstruction Pipeline",
   "zh": "全局式运动恢复结构重建流水线",
   "level": "l3"
  },
  "CAP_25f3c9bc": {
   "en": "Geometric Ray-Casting Pointing Grounding",
   "zh": "几何射线求交指向接地",
   "level": "l2"
  },
  "CAP_168b6ac9": {
   "en": "Keypoint 3D Deprojection",
   "zh": "关键点 3D 反投影",
   "level": "l3"
  },
  "CAP_8013ef25": {
   "en": "Scene Object 3D Localization",
   "zh": "场景物体 3D 定位",
   "level": "l3"
  },
  "CAP_f6e69a6a": {
   "en": "Workplane Definition and Fitting",
   "zh": "工作平面定义与拟合",
   "level": "l3"
  },
  "CAP_af1c6754": {
   "en": "Target Pose Publish and Task Trigger",
   "zh": "目标位姿发布与任务触发",
   "level": "l3"
  },
  "CAP_7d18c3f7": {
   "en": "Human Pose Keypoint Detection",
   "zh": "人体姿态关键点检测",
   "level": "l3"
  },
  "CAP_bd8c0b7a": {
   "en": "Grounding Likelihood Scoring",
   "zh": "接地似然评分",
   "level": "l3"
  },
  "CAP_4e599a29": {
   "en": "VLM Zero-Shot Open-Vocabulary Gesture Grounding",
   "zh": "VLM零样本开放词汇手势接地",
   "level": "l2"
  },
  "CAP_d6e973df": {
   "en": "RGB Frame Capture for VLM",
   "zh": "VLM用RGB帧采集",
   "level": "l3"
  },
  "CAP_e50e5e17": {
   "en": "VLM Prompt Construction for Pointing",
   "zh": "指向理解VLM提示构建",
   "level": "l3"
  },
  "CAP_46474cf6": {
   "en": "VLM Output Parsing and Bbox Extraction",
   "zh": "VLM输出解析与bbox提取",
   "level": "l3"
  },
  "CAP_79bad98e": {
   "en": "Generative VLM Grounding",
   "zh": "生成式VLM接地",
   "level": "l3"
  },
  "CAP_d6a5df7a": {
   "en": "Gesture Hold Confirmation",
   "zh": "手势持续确认",
   "level": "l3"
  },
  "CAP_365a8815": {
   "en": "Gesture Command Lookup Table Mapping",
   "zh": "手势指令查找表映射",
   "level": "l3"
  },
  "CAP_afb40c99": {
   "en": "Gesture Parameter Extraction",
   "zh": "手势参数提取绑定",
   "level": "l3"
  },
  "CAP_131be6e9": {
   "en": "Static Hand Gesture Classification by Landmark Geometry",
   "zh": "基于关键点几何特征的静态手势分类",
   "level": "l3"
  },
  "CAP_aaa72ec3": {
   "en": "Continuous Hand Pose Teleoperation",
   "zh": "连续手部姿态遥操作映射",
   "level": "l2"
  },
  "CAP_eefdf341": {
   "en": "Hand Landmark Temporal Smoothing",
   "zh": "手部关键点时序平滑",
   "level": "l3"
  },
  "CAP_6f8c06dd": {
   "en": "Hand 6DoF Pose Computation",
   "zh": "手部6DoF位姿计算",
   "level": "l3"
  },
  "CAP_ec6bc614": {
   "en": "Hand to Robot Retargeting",
   "zh": "手部-机器人重定向映射",
   "level": "l3"
  },
  "CAP_c5b9b791": {
   "en": "Real-time Cartesian Velocity Servo Control",
   "zh": "实时笛卡尔速度伺服控制",
   "level": "l3"
  },
  "CAP_a6fb4de7": {
   "en": "Gesture Object Parameter Binding",
   "zh": "手势物体参数绑定",
   "level": "l3"
  },
  "CAP_12f24ada": {
   "en": "Geometric Pointing and Language Reference Resolution",
   "zh": "几何指向与语言指代消解",
   "level": "l3"
  },
  "CAP_92968ca2": {
   "en": "Geometric Pointing Stream Perception",
   "zh": "几何指向流感知",
   "level": "l3"
  },
  "CAP_1316e4a7": {
   "en": "Learned Gesture-to-Action Policy Mapping",
   "zh": "学习型手势动作策略映射",
   "level": "l2"
  },
  "CAP_c1b723fa": {
   "en": "BC Pipeline",
   "zh": "行为克隆模仿学习流水线",
   "level": "l3"
  },
  "CAP_ddc10c82": {
   "en": "HandPresenceGate",
   "zh": "手部存在性门控",
   "level": "l3"
  },
  "CAP_316e3588": {
   "en": "BlazePalm Palm Detection",
   "zh": "BlazePalm手掌检测",
   "level": "l3"
  },
  "CAP_a861eddd": {
   "en": "Hand Region Cropping and Alignment",
   "zh": "手部区域裁剪与对齐",
   "level": "l3"
  },
  "CAP_4dfd2e34": {
   "en": "Temporal Tracking and Detection Trigger",
   "zh": "时序跟踪与检测触发",
   "level": "l3"
  },
  "CAP_e639402f": {
   "en": "Coordinate Transformation and Smoothing",
   "zh": "坐标变换与后处理平滑",
   "level": "l3"
  },
  "CAP_f06dcb98": {
   "en": "Depth-Based 3D Hand Pose Regression",
   "zh": "深度图3D手部姿态回归",
   "level": "l2"
  },
  "CAP_36b65c8e": {
   "en": "Depth Hand Region Localization",
   "zh": "深度手部区域定位",
   "level": "l3"
  },
  "CAP_77b4d46d": {
   "en": "3D Hand Joint Regression from Depth",
   "zh": "深度图3D手部关节回归",
   "level": "l3"
  },
  "CAP_28c5b85a": {
   "en": "Depth Coordinate Space Transformation",
   "zh": "深度坐标系变换",
   "level": "l3"
  },
  "CAP_b0eb2e85": {
   "en": "Depth Hand Pose Temporal Smoothing",
   "zh": "深度手部姿态时序平滑",
   "level": "l3"
  },
  "CAP_9ddbdb60": {
   "en": "Monocular 3D Hand Mesh & Pose Recovery Pipeline",
   "zh": "单目 3D 手部网格与姿态恢复流水线",
   "level": "l2"
  },
  "CAP_865292bb": {
   "en": "RGB Hand Detection for Mesh Input",
   "zh": "RGB手部检测（Mesh输入）",
   "level": "l3"
  },
  "CAP_23dd0a44": {
   "en": "MANO Parameter Regression",
   "zh": "MANO参数回归",
   "level": "l3"
  },
  "CAP_7db265e0": {
   "en": "MANO Forward Kinematics and Mesh Generation",
   "zh": "MANO正运动学与mesh生成",
   "level": "l3"
  },
  "CAP_73d7ec56": {
   "en": "Camera Space Pose Solving for MANO",
   "zh": "相机空间姿态解算（MANO）",
   "level": "l3"
  },
  "CAP_6ca06c8d": {
   "en": "Temporal MANO Mesh Smoothing",
   "zh": "时序MANO mesh平滑",
   "level": "l3"
  },
  "CAP_722b1a2b": {
   "en": "VR Egocentric Multiview Hand Tracking",
   "zh": "VR头戴多视角手部追踪",
   "level": "l2"
  },
  "CAP_51c80344": {
   "en": "Multiview Camera Sync and Calibration",
   "zh": "多相机同步与标定",
   "level": "l3"
  },
  "CAP_3449dff8": {
   "en": "Perspective Crop Generation",
   "zh": "Perspective Crop生成",
   "level": "l3"
  },
  "CAP_59f923cf": {
   "en": "Cross-View Triangulation and Fusion",
   "zh": "跨视图三角化与特征融合",
   "level": "l3"
  },
  "CAP_886a688b": {
   "en": "VR Temporal Tracking and Retrigger",
   "zh": "VR时序跟踪与重触发",
   "level": "l3"
  },
  "CAP_9bd80a61": {
   "en": "Event Stream Acquisition and Preprocessing",
   "zh": "事件流采集与预处理",
   "level": "l3"
  },
  "CAP_38d668e5": {
   "en": "Event-Driven High-Rate Tracking",
   "zh": "事件驱动高速跟踪",
   "level": "l3"
  },
  "CAP_5efb1705": {
   "en": "sEMG Biosignal Motion Intent Recognition",
   "zh": "sEMG生物信号运动意图识别",
   "level": "l2"
  },
  "CAP_b191984a": {
   "en": "sEMG Multi-Channel Signal Acquisition",
   "zh": "sEMG多通道信号采集",
   "level": "l3"
  },
  "CAP_0588f573": {
   "en": "sEMG Signal Preprocessing",
   "zh": "sEMG信号预处理",
   "level": "l3"
  },
  "CAP_9ac0edce": {
   "en": "sEMG Activity Onset Detection",
   "zh": "sEMG活动段检测",
   "level": "l3"
  },
  "CAP_40cf4361": {
   "en": "sEMG Sliding Window Segmentation",
   "zh": "sEMG信号滑动窗分割",
   "level": "l3"
  },
  "CAP_ef822042": {
   "en": "sEMG Time-Domain Feature Extraction",
   "zh": "sEMG时域特征提取",
   "level": "l3"
  },
  "CAP_0fc2d817": {
   "en": "sEMG Frequency-Domain Feature Extraction",
   "zh": "sEMG频域特征提取",
   "level": "l3"
  },
  "CAP_e12b9890": {
   "en": "sEMG Motion Intent Classification",
   "zh": "sEMG运动意图分类",
   "level": "l3"
  },
  "CAP_370a2d20": {
   "en": "sEMG Majority Voting Post-Processing",
   "zh": "sEMG分类结果多数投票平滑",
   "level": "l3"
  },
  "CAP_24ad6931": {
   "en": "Prosthetic Control Command Dispatch",
   "zh": "假肢/外骨骼控制指令输出",
   "level": "l3"
  },
  "CAP_7fb949a8": {
   "en": "Object Affordance Grounding",
   "zh": "物体可供性提取与接地",
   "level": "l3"
  },
  "CAP_167c130a": {
   "en": "Dialogue-Task Context Fusion",
   "zh": "对话/任务上下文融合",
   "level": "l3"
  },
  "CAP_ac90e56a": {
   "en": "Gesture-Intent Mapping Reasoning",
   "zh": "手势-意图映射推理",
   "level": "l3"
  },
  "CAP_34db03a5": {
   "en": "Intent Frame Dispatch for HRI",
   "zh": "HRI意图帧封装与派发",
   "level": "l3"
  },
  "CAP_18fc670c": {
   "en": "Vision End-to-End Gesture Intent Pipeline",
   "zh": "视觉端到端手势意图识别管线",
   "level": "l2"
  },
  "CAP_a7be0b5e": {
   "en": "Video Frame Preprocessing for VLA/VLM",
   "zh": "VLA/VLM视频帧预处理",
   "level": "l3"
  },
  "CAP_3999fc0c": {
   "en": "Gesture Intent Prompt Construction",
   "zh": "手势意图理解Prompt构建",
   "level": "l3"
  },
  "CAP_7ff24042": {
   "en": "VLM Zero-Shot Gesture Intent Classification",
   "zh": "VLM零样本手势意图分类",
   "level": "l3"
  },
  "CAP_02a93601": {
   "en": "VLA End-to-End Gesture-to-Action",
   "zh": "VLA端到端手势到动作生成",
   "level": "l3"
  },
  "CAP_df226bc5": {
   "en": "VLA Intent Temporal Smoothing",
   "zh": "VLA/VLM意图时序平滑",
   "level": "l3"
  },
  "CAP_1a9ba725": {
   "en": "VLA Safety Filtering and Dispatch",
   "zh": "VLA输出安全过滤与派发",
   "level": "l3"
  },
  "CAP_2c5f8926": {
   "en": "Sync Waves and Hooks Ordered Deployment",
   "zh": "Sync Waves 与 Hooks 有序部署",
   "level": "l3"
  },
  "CAP_bfd0d0a1": {
   "en": "Custom Lua Health Check for Robot CRDs",
   "zh": "机器人 CRD 自定义 Lua 健康检查",
   "level": "l3"
  },
  "CAP_543f0769": {
   "en": "GitOps Drift Detection and Self-Heal",
   "zh": "GitOps 漂移检测与自愈",
   "level": "l3"
  },
  "CAP_27257280": {
   "en": "Kustomization Reconciliation with SOPS Decryption",
   "zh": "Kustomization 调和与 SOPS 解密",
   "level": "l3"
  },
  "CAP_2c5f50aa": {
   "en": "DependsOn Ordered Deployment and HelmRelease Lifecycle",
   "zh": "dependsOn 有序部署与 HelmRelease 生命周期",
   "level": "l3"
  },
  "CAP_68f55418": {
   "en": "CEL Custom Health Check Expressions",
   "zh": "CEL 自定义健康检查表达式",
   "level": "l3"
  },
  "CAP_d925ffd1": {
   "en": "Image Automation Git Write-Back",
   "zh": "镜像自动更新回写 Git",
   "level": "l3"
  },
  "CAP_7a130dd9": {
   "en": "OSTree Content-Addressed Object Store and Incremental Pull",
   "zh": "OSTree 内容寻址对象存储与增量拉取",
   "level": "l3"
  },
  "CAP_851e0183": {
   "en": "rpm-ostree Hybrid Image-Package System and Package Layering",
   "zh": "rpm-ostree 混合镜像包系统与包分层",
   "level": "l3"
  },
  "CAP_c4e78aca": {
   "en": "Dual Bootversion Atomic Bootloader Swap",
   "zh": "双 Bootversion 原子 Bootloader 交换",
   "level": "l3"
  },
  "CAP_a26c8bf2": {
   "en": "Zincati Cincinnati Auto-Update Agent and Fleet Coordination",
   "zh": "Zincati Cincinnati 自动更新代理与 Fleet 协调",
   "level": "l3"
  },
  "CAP_fbb4e7a6": {
   "en": "greenboot Health Check Framework and Automatic Rollback",
   "zh": "greenboot 健康检查框架与自动回滚",
   "level": "l3"
  },
  "CAP_0fb22feb": {
   "en": "GitRepositoryCRRegistration",
   "zh": "Git仓库CR注册",
   "level": "l3"
  },
  "CAP_455c0753": {
   "en": "Handcrafted Global Descriptor Scene Classification",
   "zh": "手工全局描述子场景分类",
   "level": "l2"
  },
  "CAP_fe06136d": {
   "en": "Learned Global Descriptor VPR",
   "zh": "可学习全局描述子VPR",
   "level": "l2"
  },
  "CAP_0e67e9ac": {
   "en": "Cross-View Image Retrieval Global Localization",
   "zh": "跨视角图像检索全局定位",
   "level": "l2"
  },
  "CAP_0926d374": {
   "en": "BoW Candidate Retrieval",
   "zh": "词袋候选检索",
   "level": "l3"
  },
  "CAP_48363be2": {
   "en": "Vocabulary Tree Image Retrieval Matching",
   "zh": "词袋树图像检索匹配",
   "level": "l3"
  },
  "CAP_9e580a84": {
   "en": "GIST Spatial Envelope Extraction",
   "zh": "GIST 空间包络描述子提取",
   "level": "l3"
  },
  "CAP_70538ba1": {
   "en": "Hierarchical Visual Vocabulary Tree Construction",
   "zh": "离线视觉词汇树层次k-means构建",
   "level": "l3"
  },
  "CAP_1c810ab3": {
   "en": "Mid-Layer Feature Selection for VPR",
   "zh": "VPR中层特征选择",
   "level": "l3"
  },
  "CAP_518eb76e": {
   "en": "Multi-Scale Patch Descriptor Fusion",
   "zh": "多尺度patch描述子融合",
   "level": "l3"
  },
  "CAP_18877b49": {
   "en": "Image Retrieval by Global Descriptor",
   "zh": "基于全局描述符的图像检索",
   "level": "l3"
  },
  "CAP_e80504a5": {
   "en": "Ground-Aerial Domain Bridging",
   "zh": "地空域桥接",
   "level": "l3"
  },
  "CAP_bb4305e7": {
   "en": "Cross-View Global Descriptor Retrieval",
   "zh": "跨视角全局描述子检索",
   "level": "l3"
  },
  "CAP_6086813d": {
   "en": "Hard Negative Sampling for Cross-View",
   "zh": "跨视角硬负样本采样",
   "level": "l3"
  },
  "CAP_79a20e87": {
   "en": "Cross-View Local Correspondence Matching",
   "zh": "跨视角局部对应匹配",
   "level": "l3"
  },
  "CAP_2608858d": {
   "en": "DBoW2 BowVector Transform",
   "zh": "DBoW2词袋向量转换",
   "level": "l3"
  },
  "CAP_afea7767": {
   "en": "ORB Feature Matching",
   "zh": "ORB特征匹配",
   "level": "l3"
  },
  "CAP_4a44156a": {
   "en": "Learned VPR Loop Closure",
   "zh": "深度学习视觉地点识别闭环检测流水线",
   "level": "l2"
  },
  "CAP_8cd02bab": {
   "en": "Memory-Managed Loop Closure",
   "zh": "记忆管理长期运行闭环检测流水线",
   "level": "l2"
  },
  "CAP_f6fbdec7": {
   "en": "STM Node Creation",
   "zh": "STM节点创建",
   "level": "l3"
  },
  "CAP_774f62c9": {
   "en": "BoW Likelihood Computation",
   "zh": "BoW似然计算",
   "level": "l3"
  },
  "CAP_d440bd88": {
   "en": "Likelihood Ratio Test",
   "zh": "似然比检验",
   "level": "l3"
  },
  "CAP_ed2ef14b": {
   "en": "TEASER++ Geometric Verification",
   "zh": "TEASER++/GNC鲁棒几何验证",
   "level": "l3"
  },
  "CAP_015fe7f0": {
   "en": "Loop Prioritization",
   "zh": "闭环优先化",
   "level": "l3"
  },
  "CAP_7df87afd": {
   "en": "Hierarchical Scene Graph Loop Closure",
   "zh": "层次化3D场景图全局闭环检测流水线",
   "level": "l2"
  },
  "CAP_3b54d28d": {
   "en": "GVD Place Extraction",
   "zh": "GVD places提取",
   "level": "l3"
  },
  "CAP_5830c954": {
   "en": "Place Semantic-Geometric Descriptor",
   "zh": "Places语义-几何描述子",
   "level": "l3"
  },
  "CAP_20a2f01c": {
   "en": "Place Descriptor Matching",
   "zh": "Places描述子匹配",
   "level": "l3"
  },
  "CAP_882f075a": {
   "en": "Deformation Graph Verification",
   "zh": "变形图闭环验证",
   "level": "l3"
  },
  "CAP_13fd6811": {
   "en": "Place Merger",
   "zh": "Places合并",
   "level": "l3"
  },
  "CAP_15f3ff54": {
   "en": "Sequence Matching Loop Closure",
   "zh": "序列匹配外观不变闭环检测流水线",
   "level": "l2"
  },
  "CAP_1da9a7c7": {
   "en": "Difference Matrix Construction",
   "zh": "差分矩阵构建",
   "level": "l3"
  },
  "CAP_c7a94187": {
   "en": "DP Sequence Search",
   "zh": "动态规划序列匹配",
   "level": "l3"
  },
  "CAP_cae2ab48": {
   "en": "Path Score Thresholding",
   "zh": "路径得分阈值判定",
   "level": "l3"
  },
  "CAP_71108fcc": {
   "en": "Differential Odometry Motion Model Prediction",
   "zh": "差速里程计运动模型预测",
   "level": "l3"
  },
  "CAP_6f5bb482": {
   "en": "Particle Set Pose Estimation and Covariance Computation",
   "zh": "粒子集聚位姿估计与协方差计算",
   "level": "l3"
  },
  "CAP_05145547": {
   "en": "Prior Particle Sampling",
   "zh": "先验粒子采样",
   "level": "l3"
  },
  "CAP_b84c23ef": {
   "en": "TF2 Coordinate Frame Broadcasting",
   "zh": "TF2坐标帧广播",
   "level": "l3"
  },
  "CAP_2d55ee2f": {
   "en": "LiDAR Global Localization via Scan-to-Map Registration",
   "zh": "LiDAR扫描到地图配准全局定位",
   "level": "l2"
  },
  "CAP_876534c6": {
   "en": "Global Localization Prior Geometric Map Loading",
   "zh": "全局定位先验几何地图加载",
   "level": "l3"
  },
  "CAP_8af9218d": {
   "en": "Query LiDAR Scan Ingestion and Gravity Alignment",
   "zh": "查询LiDAR扫描接入与重力对齐",
   "level": "l3"
  },
  "CAP_5422a554": {
   "en": "Scan-to-Map NDT ICP Fine Registration",
   "zh": "扫描到地图NDT ICP精配准",
   "level": "l3"
  },
  "CAP_b30cc865": {
   "en": "Global Localization Alignment Quality Gate and SE3 Output",
   "zh": "全局定位对齐质量门控与SE3输出",
   "level": "l3"
  },
  "CAP_fd69a4fb": {
   "en": "FPFH-based Global Point Cloud Registration Localization",
   "zh": "基于FPFH特征配准的全局点云定位",
   "level": "l2"
  },
  "CAP_b152864f": {
   "en": "TEASER++ Robust Geometric Verification",
   "zh": "TEASER++鲁棒几何验证",
   "level": "l3"
  },
  "CAP_c469f44f": {
   "en": "LLM-based Interactive Goal Disambiguation",
   "zh": "LLM驱动的交互式目标消歧",
   "level": "l2"
  },
  "CAP_15bfe8fe": {
   "en": "Signal-Token Ambiguity Detection",
   "zh": "基于信号token的歧义检测",
   "level": "l3"
  },
  "CAP_8177eee9": {
   "en": "Convergence Decision via Signal Token",
   "zh": "基于信号token的澄清收敛判定",
   "level": "l3"
  },
  "CAP_dbc98077": {
   "en": "Refined Instruction Synthesis",
   "zh": "精化指令合成",
   "level": "l3"
  },
  "CAP_afce6057": {
   "en": "Ambiguity Uncertainty Scoring",
   "zh": "歧义不确定性评分",
   "level": "l3"
  },
  "CAP_4458c6c3": {
   "en": "Invalid Instruction Recovery",
   "zh": "无效指令恢复",
   "level": "l3"
  },
  "CAP_708b01c5": {
   "en": "Information-Guided Clarification Selection",
   "zh": "信息增益驱动的澄清行动选择",
   "level": "l3"
  },
  "CAP_1036872e": {
   "en": "MAP Goal Convergence",
   "zh": "MAP目标收敛判定",
   "level": "l3"
  },
  "CAP_e020763d": {
   "en": "Spatial Relation Constraint Reasoning",
   "zh": "空间关系约束推理",
   "level": "l3"
  },
  "CAP_e9dfbf6b": {
   "en": "Commonsense Knowledge Default Reasoning",
   "zh": "常识知识默认推理",
   "level": "l3"
  },
  "CAP_4a18fe45": {
   "en": "Residual Ambiguity Escalation",
   "zh": "残余歧义检测与升级",
   "level": "l3"
  },
  "CAP_6676df81": {
   "en": "Robot Spatial Knowledge Base Hybrid Reasoning Integration",
   "zh": "机器人空间知识库混合推理集成",
   "level": "l3"
  },
  "CAP_b924d59c": {
   "en": "Spatial Relation Graph Reasoning",
   "zh": "空间关系图推理",
   "level": "l3"
  },
  "CAP_894634e8": {
   "en": "Spatial Relationship Reasoning",
   "zh": "空间关系推理",
   "level": "l3"
  },
  "CAP_485124f0": {
   "en": "K-Means Clustering",
   "zh": "K-Means质心聚类",
   "level": "l3"
  },
  "CAP_24f8af88": {
   "en": "Cluster Count Selection",
   "zh": "簇数选择",
   "level": "l3"
  },
  "CAP_cd0fc982": {
   "en": "Feature Scaling",
   "zh": "特征缩放",
   "level": "l3"
  },
  "CAP_22bd9143": {
   "en": "Mean Shift Clustering",
   "zh": "均值漂移聚类",
   "level": "l3"
  },
  "CAP_0c390b7d": {
   "en": "DBSCAN Parameter Estimation",
   "zh": "DBSCAN参数估计",
   "level": "l3"
  },
  "CAP_fd2314b9": {
   "en": "Spectral Clustering",
   "zh": "谱聚类",
   "level": "l3"
  },
  "CAP_d2530ca0": {
   "en": "Multilevel Graph Partitioning",
   "zh": "多级图划分（METIS）",
   "level": "l3"
  },
  "CAP_119e8d2f": {
   "en": "Goal Predicate Evaluation",
   "zh": "目标谓词核验",
   "level": "l3"
  },
  "CAP_7ecf0b4b": {
   "en": "Binary Success Flag Emission",
   "zh": "二值成功标志发射",
   "level": "l3"
  },
  "CAP_ae535af5": {
   "en": "Nav2 Goal Checker Plugin",
   "zh": "Nav2 目标到达验证插件",
   "level": "l3"
  },
  "CAP_b00a2662": {
   "en": "State Extraction Success",
   "zh": "成功核验的结构化状态提取",
   "level": "l3"
  },
  "CAP_da5dd7cb": {
   "en": "LLM/VLM Open-Vocabulary Task Semantic Success Judgment",
   "zh": "LLM/VLM 开放任务语义成功判定",
   "level": "l2"
  },
  "CAP_fc7143ae": {
   "en": "VLM Prompt Assembly",
   "zh": "VLM/LLM验证Prompt组装",
   "level": "l3"
  },
  "CAP_6363e2a8": {
   "en": "VLM Visual Success Qa",
   "zh": "VLM视觉成功问答判定",
   "level": "l3"
  },
  "CAP_aa64ddf3": {
   "en": "LLM Trajectory Verification",
   "zh": "LLM轨迹成功验证",
   "level": "l3"
  },
  "CAP_0d30ad1d": {
   "en": "Self Consistency Voting",
   "zh": "自一致多轮验证投票",
   "level": "l3"
  },
  "CAP_f50596db": {
   "en": "Verdict Parsing",
   "zh": "判定结果结构化解析",
   "level": "l3"
  },
  "CAP_868729f4": {
   "en": "Failure Rationale Extraction",
   "zh": "失败原因提取用于重规划",
   "level": "l3"
  },
  "CAP_ffdaa9a7": {
   "en": "Semantic Verdict Emission",
   "zh": "语义判定结果发射",
   "level": "l3"
  },
  "CAP_1817abf9": {
   "en": "Goal Formalization",
   "zh": "目标形式化编码",
   "level": "l3"
  },
  "CAP_b46f1ae9": {
   "en": "Prob Model Checking",
   "zh": "概率目标模型检查",
   "level": "l3"
  },
  "CAP_bd9c262d": {
   "en": "Contract Verification",
   "zh": "假设-保证契约验证",
   "level": "l3"
  },
  "CAP_e4fe792c": {
   "en": "Counterexample Extraction",
   "zh": "反例提取与诊断",
   "level": "l3"
  },
  "CAP_4de60c67": {
   "en": "Formal Verdict Emission",
   "zh": "形式化验证结论发射",
   "level": "l3"
  },
  "CAP_68af0fdf": {
   "en": "Goal-Conditioned Low-Level Execution",
   "zh": "目标条件低层执行",
   "level": "l2"
  },
  "CAP_225dfe98": {
   "en": "SMDP Actor-Critic Higher-Level Training",
   "zh": "SMDP 高层Actor-Critic训练",
   "level": "l3"
  },
  "CAP_886d0e25": {
   "en": "Hindsight Action Replay",
   "zh": "事后动作重放",
   "level": "l3"
  },
  "CAP_c7cc3afb": {
   "en": "Visual RL Servoing Inference",
   "zh": "视觉RL伺服推理",
   "level": "l3"
  },
  "CAP_b1322537": {
   "en": "Goal Image VAE Encoding",
   "zh": "目标图像VAE编码",
   "level": "l3"
  },
  "CAP_9724e44e": {
   "en": "HIGL Landmark-Guided Subgoal Planning",
   "zh": "HIGL Landmark引导子目标规划",
   "level": "l3"
  },
  "CAP_7230fd08": {
   "en": "SRT-H Hierarchical Language Surgical Cutting",
   "zh": "SRT-H 分层语言条件自主手术切割",
   "level": "l2"
  },
  "CAP_69903088": {
   "en": "MSTH Multi-Scale Temporal Subgoal Planning",
   "zh": "MSTH多尺度时域子目标规划",
   "level": "l3"
  },
  "CAP_5c3a4e1c": {
   "en": "Goal-Conditioned World Model Rollout",
   "zh": "目标条件世界模型潜轨迹rollout",
   "level": "l3"
  },
  "CAP_5e4fedeb": {
   "en": "Reward-Free Online Self-Improvement",
   "zh": "无奖励在线自我提升",
   "level": "l3"
  },
  "CAP_f66b28bf": {
   "en": "Diffusion Inpainting Goal Imagination Pipeline",
   "zh": "扩散修复式目标条件想象流水线",
   "level": "l2"
  },
  "CAP_db2916ed": {
   "en": "Temporal U-Net Denoising",
   "zh": "时序U-Net去噪网络",
   "level": "l3"
  },
  "CAP_79206178": {
   "en": "Classifier-Guided Trajectory Sampling",
   "zh": "分类器引导轨迹采样",
   "level": "l3"
  },
  "CAP_9591fb61": {
   "en": "Multi-Conditioned Diffusion Decision",
   "zh": "多条件扩散决策",
   "level": "l3"
  },
  "CAP_920d9fb0": {
   "en": "Visual Goal Synthesis and Video Imagination Pipeline",
   "zh": "视觉目标合成与视频想象流水线",
   "level": "l2"
  },
  "CAP_b5b548ba": {
   "en": "Image-Generative VLM Goal State Reasoning",
   "zh": "图像生成式VLM目标状态推理",
   "level": "l3"
  },
  "CAP_b42a2755": {
   "en": "Reflection-through-Synthesis",
   "zh": "合成反思迭代验证",
   "level": "l3"
  },
  "CAP_af23cbec": {
   "en": "Spatial Grounding SE(3) Pose Estimation",
   "zh": "空间几何grounding（SE3位姿估计）",
   "level": "l3"
  },
  "CAP_f47c71f3": {
   "en": "Training-Free Low-Level Manipulation Policy",
   "zh": "免训练低层操作策略",
   "level": "l3"
  },
  "CAP_25fba966": {
   "en": "OfflineDatasetLoading",
   "zh": "离线数据集加载",
   "level": "l3"
  },
  "CAP_7dbd5d25": {
   "en": "SAT/SMT Logic Conflict Detection",
   "zh": "SAT/SMT逻辑约束冲突检测",
   "level": "l2"
  },
  "CAP_063d42c6": {
   "en": "SMT UNSAT Core Refinement",
   "zh": "SMT不可满足核精化",
   "level": "l3"
  },
  "CAP_8987743e": {
   "en": "MUS Enumeration",
   "zh": "最小不可满足子集枚举",
   "level": "l3"
  },
  "CAP_e77b8021": {
   "en": "Conflict Contribution Scoring",
   "zh": "冲突贡献度评分",
   "level": "l3"
  },
  "CAP_6e256275": {
   "en": "STNU Temporal Conflict Detection",
   "zh": "STNU时态网络冲突检测",
   "level": "l2"
  },
  "CAP_407d8187": {
   "en": "STNU Labeled Distance Graph Construction",
   "zh": "STNU标记距离图构建",
   "level": "l3"
  },
  "CAP_fbec5392": {
   "en": "STNU Dynamic Controllability Check",
   "zh": "STNU动态可控性检查",
   "level": "l3"
  },
  "CAP_3f5d3e03": {
   "en": "Semi-reducible Negative Cycle Detection",
   "zh": "半可化简路径检测",
   "level": "l3"
  },
  "CAP_899944de": {
   "en": "DC Conflict Generation",
   "zh": "DC冲突生成",
   "level": "l3"
  },
  "CAP_390dbcf1": {
   "en": "Temporal Conflict Diagnosis Report",
   "zh": "时态冲突诊断报告",
   "level": "l3"
  },
  "CAP_83dff3cd": {
   "en": "Multi-Agent Resource/Task Conflict Detection",
   "zh": "多智能体资源任务冲突检测",
   "level": "l2"
  },
  "CAP_1d6d8348": {
   "en": "MAPF Conflict Detection",
   "zh": "MAPF冲突检测",
   "level": "l3"
  },
  "CAP_a3b2bd83": {
   "en": "Conflict Detection and Resolution (CBBA)",
   "zh": "冲突检测与解决（CBBA）",
   "level": "l2"
  },
  "CAP_55ea78df": {
   "en": "Spacetime Overlap Query",
   "zh": "时空重叠查询",
   "level": "l3"
  },
  "CAP_dfe43f71": {
   "en": "GoalConstraintEncodingWithMarkers",
   "zh": "带标记的目标约束编码",
   "level": "l3"
  },
  "CAP_3e70702f": {
   "en": "Goal Lifecycle State Management",
   "zh": "目标生命周期状态管理",
   "level": "l3"
  },
  "CAP_6283d419": {
   "en": "Resource Conflict Detection",
   "zh": "资源冲突检测",
   "level": "l3"
  },
  "CAP_e2b1b8b3": {
   "en": "Logical Effect Conflict Detection",
   "zh": "逻辑效果冲突检测",
   "level": "l3"
  },
  "CAP_19f13cc7": {
   "en": "Temporal Deadline Conflict Detection",
   "zh": "时间截止期冲突检测",
   "level": "l3"
  },
  "CAP_0159c75a": {
   "en": "Heuristic Utility Priority Scoring",
   "zh": "启发式效用优先级评分",
   "level": "l3"
  },
  "CAP_45fe6781": {
   "en": "Meta-level Deliberation Control",
   "zh": "元级审议控制",
   "level": "l3"
  },
  "CAP_53114e66": {
   "en": "Cooperative Action Preemption",
   "zh": "协作式动作抢占",
   "level": "l3"
  },
  "CAP_b0ece563": {
   "en": "Execution State Snapshot",
   "zh": "执行状态快照",
   "level": "l3"
  },
  "CAP_251a1f22": {
   "en": "Preemption Resume Policy Decision",
   "zh": "抢占恢复策略决策",
   "level": "l3"
  },
  "CAP_a0dc7833": {
   "en": "Goal-to-Constraint Encoding",
   "zh": "目标-约束编码",
   "level": "l3"
  },
  "CAP_913a6915": {
   "en": "UNSAT Core Extraction and Diagnosis",
   "zh": "UNSAT核心提取与诊断",
   "level": "l3"
  },
  "CAP_7791abd9": {
   "en": "MAX-SAT Weighted Conflict Resolution",
   "zh": "加权MAX-SAT冲突消解",
   "level": "l3"
  },
  "CAP_0bf37ecc": {
   "en": "Temporal Constraint Network Adjustment",
   "zh": "时序约束网络调整",
   "level": "l3"
  },
  "CAP_1b896eca": {
   "en": "Plan Dispatch to Execution Layer",
   "zh": "执行计划派发",
   "level": "l3"
  },
  "CAP_d22c54b4": {
   "en": "Landmark Ordering Inference",
   "zh": "路标顺序推理",
   "level": "l3"
  },
  "CAP_0a29e5c3": {
   "en": "Goal Agenda Topological Sort",
   "zh": "目标议程拓扑排序",
   "level": "l3"
  },
  "CAP_6870574b": {
   "en": "Order-Aware Heuristic Search Integration",
   "zh": "顺序感知启发式搜索集成",
   "level": "l3"
  },
  "CAP_7cff8f2c": {
   "en": "PDDL Parsing and Causal Graph Extraction",
   "zh": "PDDL解析与因果图提取",
   "level": "l2"
  },
  "CAP_a006a4b8": {
   "en": "Causal Edge Extraction",
   "zh": "因果边提取",
   "level": "l3"
  },
  "CAP_2122e347": {
   "en": "Goal Ordering Reasoning",
   "zh": "目标顺序推理",
   "level": "l2"
  },
  "CAP_af2d9237": {
   "en": "Goal Agenda Construction",
   "zh": "目标议程构建",
   "level": "l2"
  },
  "CAP_4198f3d4": {
   "en": "Abstraction Hierarchy Generation",
   "zh": "抽象层次生成",
   "level": "l2"
  },
  "CAP_fe149f35": {
   "en": "Landmark Extraction and Ordering",
   "zh": "路标提取与排序",
   "level": "l3"
  },
  "CAP_537304a7": {
   "en": "Landmark Ordering",
   "zh": "路标排序",
   "level": "l3"
  },
  "CAP_60acf58b": {
   "en": "Landmark-count Heuristic and Search",
   "zh": "路标计数启发式与搜索",
   "level": "l3"
  },
  "CAP_25bf3662": {
   "en": "Landmark-count Heuristic Computation",
   "zh": "路标计数启发式计算",
   "level": "l3"
  },
  "CAP_45fcddd2": {
   "en": "Preferred Operators Generation",
   "zh": "优先算子生成",
   "level": "l3"
  },
  "CAP_8505e7be": {
   "en": "Geometric Blocking Relation Computation",
   "zh": "几何阻挡关系计算",
   "level": "l3"
  },
  "CAP_24549bf7": {
   "en": "Object Dependency Graph Construction",
   "zh": "物体依赖图构造",
   "level": "l3"
  },
  "CAP_50f3bc33": {
   "en": "Rearrangement Dependency Cycle Detection",
   "zh": "重排依赖环检测",
   "level": "l3"
  },
  "CAP_53f521c7": {
   "en": "Region Graph Decomposition",
   "zh": "区域图分解",
   "level": "l3"
  },
  "CAP_10fe21e7": {
   "en": "DFSDP Monotone Primitive",
   "zh": "DFSDP 单调原语",
   "level": "l3"
  },
  "CAP_f0be83e5": {
   "en": "Non-monotone Buffer Pose Selection",
   "zh": "非单调 buffer 位姿选择",
   "level": "l3"
  },
  "CAP_5fccadb2": {
   "en": "Non-monotone Dependency Resolution",
   "zh": "非单调依赖解析",
   "level": "l3"
  },
  "CAP_57fa49e3": {
   "en": "Ordered Action List Generation",
   "zh": "有序动作列表生成",
   "level": "l3"
  },
  "CAP_f5224479": {
   "en": "MoveIt Motion Planning",
   "zh": "MoveIt 运动规划",
   "level": "l3"
  },
  "CAP_8ab0be27": {
   "en": "OMPL-based Planning",
   "zh": "基于 OMPL 的规划",
   "level": "l3"
  },
  "CAP_ddc6af2e": {
   "en": "Dependency-Aware Rearrangement Planning",
   "zh": "依赖感知重排规划",
   "level": "l2"
  },
  "CAP_794e578b": {
   "en": "Dependency Graph Construction",
   "zh": "依赖图构建",
   "level": "l2"
  },
  "CAP_2d0f66ce": {
   "en": "Monotonicity Check",
   "zh": "单调性检查",
   "level": "l3"
  },
  "CAP_7462aa92": {
   "en": "SCC Breaking and Buffer Assignment",
   "zh": "SCC破环与Buffer指派",
   "level": "l3"
  },
  "CAP_6bdc4e34": {
   "en": "Lazy Motion Verification",
   "zh": "惰性运动验证",
   "level": "l2"
  },
  "CAP_62c24308": {
   "en": "Candidate Path Generation",
   "zh": "候选路径生成",
   "level": "l3"
  },
  "CAP_f531a470": {
   "en": "Sequential Object Manipulation",
   "zh": "顺序物体操作",
   "level": "l3"
  },
  "CAP_d468edfe": {
   "en": "Online PDDL Goal Insertion Replanning Closed Loop",
   "zh": "在线PDDL目标插入重规划闭环",
   "level": "l3"
  },
  "CAP_b41514c1": {
   "en": "Opportunistic Goal Utility Evaluation",
   "zh": "机会目标效用评估",
   "level": "l3"
  },
  "CAP_cfd9dc56": {
   "en": "PDDL Plan Parsing",
   "zh": "PDDL计划解析",
   "level": "l3"
  },
  "CAP_f8018f7c": {
   "en": "DAG Workflow Orchestration",
   "zh": "DAG 工作流编排",
   "level": "l2"
  },
  "CAP_0cf95eb5": {
   "en": "DAG Declaration & Dependency Encoding",
   "zh": "DAG 声明与依赖编码",
   "level": "l3"
  },
  "CAP_a8ec055e": {
   "en": "DAG Topological Scheduling",
   "zh": "DAG 拓扑调度",
   "level": "l3"
  },
  "CAP_7ea88d2c": {
   "en": "Task Execution & Data Passing",
   "zh": "任务执行与数据传递",
   "level": "l3"
  },
  "CAP_1367e62a": {
   "en": "Retry, Branch & Fault Tolerance",
   "zh": "重试、分支与容错",
   "level": "l3"
  },
  "CAP_2cce9d7f": {
   "en": "PLEXIL Plan Execution Integration",
   "zh": "PLEXIL 计划执行集成",
   "level": "l2"
  },
  "CAP_212827c9": {
   "en": "DAG Declaration and Parsing",
   "zh": "DAG 声明与解析",
   "level": "l2"
  },
  "CAP_870675ca": {
   "en": "DAG Declaration",
   "zh": "DAG 声明",
   "level": "l3"
  },
  "CAP_e9db7566": {
   "en": "DAG Parsing and Validation",
   "zh": "DAG 解析与验证",
   "level": "l3"
  },
  "CAP_8598c7f2": {
   "en": "Scheduling and Triggering",
   "zh": "调度与触发",
   "level": "l2"
  },
  "CAP_f2c93f00": {
   "en": "Schedule-based Triggering",
   "zh": "基于时间的触发",
   "level": "l3"
  },
  "CAP_75fbe02c": {
   "en": "Event-based Triggering",
   "zh": "基于事件的触发",
   "level": "l3"
  },
  "CAP_8ddaf50d": {
   "en": "Task Distribution and Execution",
   "zh": "任务分发与执行",
   "level": "l2"
  },
  "CAP_3eca594b": {
   "en": "Dependency-based Task Dispatch",
   "zh": "基于依赖的任务分发",
   "level": "l3"
  },
  "CAP_a36ce07b": {
   "en": "State Management and Fault Tolerance",
   "zh": "状态管理与容错",
   "level": "l2"
  },
  "CAP_2fb17d11": {
   "en": "Monitoring and Observability",
   "zh": "监控与可观测性",
   "level": "l2"
  },
  "CAP_aae7b6c3": {
   "en": "Visualization and Logging",
   "zh": "可视化与日志",
   "level": "l3"
  },
  "CAP_e27d8ef1": {
   "en": "Metrics and Alerting",
   "zh": "指标与告警",
   "level": "l3"
  },
  "CAP_0282ac39": {
   "en": "Semantic BEV Grid Map Construction",
   "zh": "语义俯视栅格地图构建",
   "level": "l2"
  },
  "CAP_1d6d006b": {
   "en": "2D to 3D Semantic Projection",
   "zh": "2D到3D语义投影",
   "level": "l3"
  },
  "CAP_1da29ac8": {
   "en": "Image To BEV Occupancy Projection",
   "zh": "图像到BEV占据投影",
   "level": "l3"
  },
  "CAP_afa8a75f": {
   "en": "RL Frontier Topological Navigation Integration",
   "zh": "RL前沿拓扑导航集成",
   "level": "l3"
  },
  "CAP_0003f6e3": {
   "en": "Zero-Shot VLM Object Goal Navigation",
   "zh": "零样本VLM物体目标导航",
   "level": "l1"
  },
  "CAP_45d80560": {
   "en": "VLM Frontier View Scoring",
   "zh": "VLM前沿视角评分",
   "level": "l3"
  },
  "CAP_237cb725": {
   "en": "Frontier View Hallucination",
   "zh": "前沿视角渲染",
   "level": "l3"
  },
  "CAP_d18e66ae": {
   "en": "Depth to Occupancy Projection",
   "zh": "深度到占据栅格投影",
   "level": "l3"
  },
  "CAP_9aff814a": {
   "en": "Cross-Embodiment Visual Navigation Foundation Model",
   "zh": "跨本体视觉导航基础模型",
   "level": "l1"
  },
  "CAP_ae15b336": {
   "en": "ViNT Waypoint Prediction",
   "zh": "ViNT路径点预测",
   "level": "l3"
  },
  "CAP_c8e11569": {
   "en": "ViNT Visual Place Recognition",
   "zh": "ViNT视觉地点识别",
   "level": "l3"
  },
  "CAP_a3ae3f0e": {
   "en": "End-to-End RL Point Goal Navigation",
   "zh": "端到端RL点目标导航",
   "level": "l1"
  },
  "CAP_0c536b29": {
   "en": "DD-PPO Distributed Training",
   "zh": "DD-PPO分布式训练",
   "level": "l3"
  },
  "CAP_5d63e40d": {
   "en": "DDPPO Discrete Action Execution",
   "zh": "DDPPO离散动作执行",
   "level": "l3"
  },
  "CAP_bb14f0f0": {
   "en": "Self-supervised Connectivity Network Training",
   "zh": "自监督连通性网络训练",
   "level": "l3"
  },
  "CAP_b8d4dfe2": {
   "en": "Exploration-based Topological Graph Building",
   "zh": "探索式拓扑图构建",
   "level": "l3"
  },
  "CAP_b15d55a9": {
   "en": "Learned Visual Edge Following",
   "zh": "学习型视觉边跟随",
   "level": "l3"
  },
  "CAP_0cf29d0b": {
   "en": "PDDL Goal Update Service Invocation",
   "zh": "PDDL目标更新服务调用",
   "level": "l3"
  },
  "CAP_5ff6970b": {
   "en": "Current Plan Preemption",
   "zh": "当前计划抢占",
   "level": "l3"
  },
  "CAP_671b5f32": {
   "en": "Plan Dispatch and Action Monitoring",
   "zh": "计划派发与动作执行监控",
   "level": "l3"
  },
  "CAP_c89c699c": {
   "en": "Nav2 NavigateToPose Action Goal Reception",
   "zh": "Nav2导航目标Action接收",
   "level": "l3"
  },
  "CAP_30c9c90d": {
   "en": "BT Blackboard Goal Update and Change Detection",
   "zh": "BT黑板目标更新与变更检测",
   "level": "l3"
  },
  "CAP_1b0f95fe": {
   "en": "BT Reactive Subtree Halt on Goal Change",
   "zh": "BT目标变更响应式子树中断",
   "level": "l3"
  },
  "CAP_478f43b2": {
   "en": "Opportunistic Goal Priority Reordering Loop",
   "zh": "机会式目标优先级重排闭环",
   "level": "l2"
  },
  "CAP_6792ef30": {
   "en": "Opportunity Detection and Candidate Identification",
   "zh": "环境机会检测与候选目标识别",
   "level": "l3"
  },
  "CAP_71b60e2a": {
   "en": "Deviation Cost-Benefit Evaluation",
   "zh": "偏离收益-代价权衡评估",
   "level": "l3"
  },
  "CAP_29be87af": {
   "en": "Resource Feasibility Check for Opportunistic Deviation",
   "zh": "机会偏离资源可行性检查",
   "level": "l3"
  },
  "CAP_3341750a": {
   "en": "Regret-Guided Replanning Trigger Decision",
   "zh": "遗憾值指导的重规划触发决策",
   "level": "l3"
  },
  "CAP_80cf559c": {
   "en": "Feedback-Driven Interactive Goal Adjustment Loop",
   "zh": "反馈驱动的人机交互目标调整闭环",
   "level": "l2"
  },
  "CAP_d3a03006": {
   "en": "Human Feedback Dialogue Loop",
   "zh": "人类反馈对话闭环",
   "level": "l3"
  },
  "CAP_1c0beaeb": {
   "en": "Multimodal Feedback Perception",
   "zh": "多模态反馈感知（语音/视线）",
   "level": "l3"
  },
  "CAP_9f3c07ee": {
   "en": "LLM-based Feedback Intent Parsing and Goal Adjustment",
   "zh": "LLM反馈意图解析与目标调整推理",
   "level": "l3"
  },
  "CAP_9e184102": {
   "en": "Gaze-based Goal Inference",
   "zh": "视线驱动目标推断",
   "level": "l3"
  },
  "CAP_bd732e94": {
   "en": "Intelligent Language Parsing",
   "zh": "智能语言解析",
   "level": "l2"
  },
  "CAP_68756efa": {
   "en": "Lexical and Syntactic Parsing",
   "zh": "词法与句法解析",
   "level": "l3"
  },
  "CAP_8a072bf9": {
   "en": "Semantic Composition and Logical Template Generation",
   "zh": "语义组合与逻辑模板生成",
   "level": "l3"
  },
  "CAP_2cc50f6e": {
   "en": "Quantity and Spatial Deixis Parsing",
   "zh": "数量与空间指示表达解析",
   "level": "l3"
  },
  "CAP_1541cba6": {
   "en": "Perceptual Anchoring and Candidate Generation",
   "zh": "感知锚定与候选生成",
   "level": "l2"
  },
  "CAP_a478bfcf": {
   "en": "2D/3D Perception Candidate Detection",
   "zh": "2D/3D 感知候选检测",
   "level": "l3"
  },
  "CAP_6587103f": {
   "en": "Spatial Relation Computation",
   "zh": "空间关系计算",
   "level": "l3"
  },
  "CAP_0580a508": {
   "en": "Factor Graph Construction and MAP Inference",
   "zh": "因子图构建与 MAP 推理",
   "level": "l3"
  },
  "CAP_14faf64b": {
   "en": "Factor Definition and Potential Computation",
   "zh": "因子定义与势函数计算",
   "level": "l3"
  },
  "CAP_fa99d624": {
   "en": "Graph Construction and MAP Inference",
   "zh": "图构造与 MAP 推理",
   "level": "l3"
  },
  "CAP_560aa1de": {
   "en": "Probabilistic Model Foundation",
   "zh": "概率模型基础能力",
   "level": "l2"
  },
  "CAP_90594453": {
   "en": "Target Parameter Extraction and Output",
   "zh": "目标参数提取与输出",
   "level": "l3"
  },
  "CAP_9d2721d1": {
   "en": "Interaction Confirmation and Human Intervention Coordination",
   "zh": "交互确认与人工干预协调",
   "level": "l3"
  },
  "CAP_60cd278c": {
   "en": "LLM + Formal Language Grounding",
   "zh": "现代演化：LLM + 形式化语言 grounding",
   "level": "l3"
  },
  "CAP_e9095d6c": {
   "en": "Syntax Parsing",
   "zh": "语法解析",
   "level": "l3"
  },
  "CAP_c216f78e": {
   "en": "Semantic Template Mapping",
   "zh": "语义模板映射",
   "level": "l3"
  },
  "CAP_daed6a6a": {
   "en": "Perception Candidate Generation",
   "zh": "感知候选生成",
   "level": "l2"
  },
  "CAP_6587103f9a": {
   "en": "Spatial Relation Extraction",
   "zh": "空间关系提取",
   "level": "l3"
  },
  "CAP_d8a77107": {
   "en": "Factor Graph Construction and Inference",
   "zh": "因子图构建与推理",
   "level": "l2"
  },
  "CAP_b71d3a93": {
   "en": "MAP Inference on Factor Graphs",
   "zh": "因子图MAP推理",
   "level": "l3"
  },
  "CAP_9f5c9ee0": {
   "en": "Target Pose Output",
   "zh": "目标位姿输出",
   "level": "l2"
  },
  "CAP_7460213a": {
   "en": "Visual Perception and Object Detection",
   "zh": "视觉感知与目标检测",
   "level": "l2"
  },
  "CAP_46f3cacf": {
   "en": "2D Open-Vocabulary Object Detection",
   "zh": "2D开放词表目标检测",
   "level": "l3"
  },
  "CAP_511564a4": {
   "en": "2D-3D Projection and Coordinate Alignment",
   "zh": "2D-3D投影与坐标对齐",
   "level": "l3"
  },
  "CAP_741ccdf9": {
   "en": "Semantic Map and Spatial Memory",
   "zh": "语义地图与空间记忆",
   "level": "l2"
  },
  "CAP_c56ac582": {
   "en": "Object-Centric Semantic Map Construction",
   "zh": "以物体为中心的语义地图构建",
   "level": "l3"
  },
  "CAP_348c513d": {
   "en": "Semantic Feature Extraction and Retrieval",
   "zh": "语义特征提取与检索",
   "level": "l3"
  },
  "CAP_bf90fd1c": {
   "en": "Instruction Understanding and Goal Parsing",
   "zh": "指令理解与目标解析",
   "level": "l2"
  },
  "CAP_61fe52c5": {
   "en": "Instruction Decomposition and Goal Extraction",
   "zh": "指令分解与目标抽取",
   "level": "l3"
  },
  "CAP_d83308c6": {
   "en": "Reference Resolution and Attribute Matching",
   "zh": "指代消解与属性匹配",
   "level": "l3"
  },
  "CAP_943341b6": {
   "en": "3D Visual Language Grounding",
   "zh": "3D视觉语言定位",
   "level": "l2"
  },
  "CAP_a773c7c4": {
   "en": "Cross-modal Feature Alignment and Candidate Ranking",
   "zh": "跨模态特征对齐与候选排名",
   "level": "l3"
  },
  "CAP_8cfeefa8": {
   "en": "Navigation-Grasping-Placement Execution",
   "zh": "导航-抓取-放置执行",
   "level": "l2"
  },
  "CAP_26e3963e": {
   "en": "Grasp Pose Estimation",
   "zh": "抓取位姿估计",
   "level": "l3"
  },
  "CAP_8c606fbf": {
   "en": "Mobile Navigation and Failure Recovery",
   "zh": "移动导航与失败恢复",
   "level": "l3"
  },
  "CAP_ea442d41": {
   "en": "3D Scene Reconstruction from RGB-D Scans",
   "zh": "RGB-D扫描3D场景重建",
   "level": "l3"
  },
  "CAP_49e74d17": {
   "en": "Goal State Reasoning",
   "zh": "目标状态推理",
   "level": "l2"
  },
  "CAP_cff30dd4": {
   "en": "Instruction Understanding and Prompt Enhancement",
   "zh": "指令理解与提示词增强",
   "level": "l3"
  },
  "CAP_a0bf6a05": {
   "en": "Goal Segmentation and Depth Estimation",
   "zh": "目标分割与深度估计",
   "level": "l3"
  },
  "CAP_124365bf": {
   "en": "Spatial Grounding",
   "zh": "空间基准",
   "level": "l2"
  },
  "CAP_150ce13b": {
   "en": "Semantic Feature Matching",
   "zh": "语义特征匹配",
   "level": "l3"
  },
  "CAP_0d7df85a": {
   "en": "2D-3D Lifting",
   "zh": "2D-3D反投影提升",
   "level": "l3"
  },
  "CAP_f342e83b": {
   "en": "Point Cloud Registration and Transformation Solving",
   "zh": "点云配准与变换求解",
   "level": "l3"
  },
  "CAP_474cf431": {
   "en": "Contact Pose Sampling and Goal Pose Derivation",
   "zh": "接触位姿采样与目标位姿推导",
   "level": "l3"
  },
  "CAP_092cc6d2": {
   "en": "Action Goal State Machine",
   "zh": "Action目标状态机",
   "level": "l3"
  },
  "CAP_68a8c456": {
   "en": "Simple Action Server/Client",
   "zh": "Simple Action服务器与客户端",
   "level": "l3"
  },
  "CAP_4bf2df57": {
   "en": "Application Action Feedback Result Design",
   "zh": "应用动作反馈结果设计",
   "level": "l3"
  },
  "CAP_7826e9f2": {
   "en": "Production Action Deployment",
   "zh": "生产级动作部署",
   "level": "l3"
  },
  "CAP_bed0c07b": {
   "en": "Task Submission and Lifecycle Initialization",
   "zh": "Task 提交与生命周期初始化",
   "level": "l3"
  },
  "CAP_4f12d9c4": {
   "en": "A2A Task State Machine",
   "zh": "A2A Task 状态机",
   "level": "l2"
  },
  "CAP_063659cd": {
   "en": "Human-in-the-Loop Interaction Handling",
   "zh": "人机交互中断处理",
   "level": "l3"
  },
  "CAP_f86c6df2": {
   "en": "Task Cancellation",
   "zh": "Task 取消处理",
   "level": "l3"
  },
  "CAP_ff9b4797": {
   "en": "Task Artifact Production and Delivery",
   "zh": "Task 工件产出与交付",
   "level": "l3"
  },
  "CAP_86a02653": {
   "en": "LLM StateGraph Construction",
   "zh": "LLM 状态图构建",
   "level": "l2"
  },
  "CAP_f022ed77": {
   "en": "LLM Conditional Routing",
   "zh": "LLM 条件路由",
   "level": "l3"
  },
  "CAP_2d77719c": {
   "en": "Human-in-the-Loop Interruption",
   "zh": "人机交互中断",
   "level": "l3"
  },
  "CAP_c2a7039a": {
   "en": "Streaming State Updates",
   "zh": "流式状态更新",
   "level": "l3"
  },
  "CAP_02469491": {
   "en": "Preference-Aware Heuristic Search",
   "zh": "偏好感知启发式搜索",
   "level": "l3"
  },
  "CAP_4311a919": {
   "en": "Reachability-Ordered Pick Sequence",
   "zh": "可达性排序拾取序列",
   "level": "l3"
  },
  "CAP_d49b9a7d": {
   "en": "Sequential Object Rearrangement",
   "zh": "逐物体序列化重排执行",
   "level": "l3"
  },
  "CAP_3abe4069": {
   "en": "Non-Monotone Handoff Scheduling",
   "zh": "非单调交接调度",
   "level": "l3"
  },
  "CAP_416b3b40": {
   "en": "Constrained Optimization Solver",
   "zh": "约束优化求解",
   "level": "l3"
  },
  "CAP_3134f188": {
   "en": "Contextual Preference Specification",
   "zh": "上下文偏好规约",
   "level": "l3"
  },
  "CAP_fb0164b7": {
   "en": "PDDL3PreferenceModeling",
   "zh": "PDDL3偏好建模",
   "level": "l3"
  },
  "CAP_4ae001d1": {
   "en": "VAE Latent Goal Encoding",
   "zh": "β-VAE潜在目标编码",
   "level": "l2"
  },
  "CAP_73c2aa32": {
   "en": "Latent Space Reward Computation",
   "zh": "潜在空间距离奖励计算",
   "level": "l3"
  },
  "CAP_ac98de2f": {
   "en": "Skewed Goal Distribution Update",
   "zh": "偏态目标分布更新",
   "level": "l3"
  },
  "CAP_6c84b367": {
   "en": "Latent Goal Inference and Deployment",
   "zh": "潜在目标推理与部署",
   "level": "l2"
  },
  "CAP_88069578": {
   "en": "Latent-Conditioned Policy Execution",
   "zh": "潜在条件策略闭环执行",
   "level": "l3"
  },
  "CAP_86693d29": {
   "en": "Visual Object Tokenization",
   "zh": "视觉物体Token编码",
   "level": "l3"
  },
  "CAP_c6ec4dea": {
   "en": "Text Instruction Tokenization",
   "zh": "文本指令Token编码",
   "level": "l3"
  },
  "CAP_f4812d86": {
   "en": "T5 Cross-Attention Prompt Conditioning",
   "zh": "T5 Cross-Attention Prompt条件化",
   "level": "l2"
  },
  "CAP_99d2bfe1": {
   "en": "T5 Multimodal Prompt Encoding",
   "zh": "T5多模态Prompt编码",
   "level": "l3"
  },
  "CAP_5460ffa0": {
   "en": "Observation History Tokenization",
   "zh": "交互观测历史Token化",
   "level": "l3"
  },
  "CAP_c909fd1e": {
   "en": "Cross-Attention Decoder Conditioning",
   "zh": "Cross-Attention Decoder条件化",
   "level": "l3"
  },
  "CAP_cd5ac735": {
   "en": "VLA Generalist Multimodal Goal Pretraining",
   "zh": "VLA通才多模态目标预训练",
   "level": "l2"
  },
  "CAP_a2ebfeb8": {
   "en": "Observation History VLA Tokenization",
   "zh": "VLA观测历史Token化",
   "level": "l3"
  },
  "CAP_4843ac2b": {
   "en": "Language Goal Readout Tokenization",
   "zh": "语言目标Readout Token化",
   "level": "l3"
  },
  "CAP_3dfe79b5": {
   "en": "Goal Image Readout Tokenization",
   "zh": "目标图像Readout Token化",
   "level": "l3"
  },
  "CAP_ff07e152": {
   "en": "Temporal Modal Positional Encoding",
   "zh": "时序模态位置编码",
   "level": "l3"
  },
  "CAP_63ca7117": {
   "en": "Unified Transformer with Modality Dropout",
   "zh": "模态丢弃统一Transformer",
   "level": "l2"
  },
  "CAP_07358f75": {
   "en": "Unified Transformer Self-Attention",
   "zh": "统一Transformer Self-Attention",
   "level": "l3"
  },
  "CAP_2b139153": {
   "en": "Simple Modality Dropout Training",
   "zh": "简单模态丢弃训练",
   "level": "l3"
  },
  "CAP_d73259e4": {
   "en": "Progress-Guided Diffusion Goal Bridging",
   "zh": "进度引导扩散目标桥接",
   "level": "l2"
  },
  "CAP_42e63d2a": {
   "en": "Language Encoding for Goal Bridging",
   "zh": "目标桥接语言编码",
   "level": "l3"
  },
  "CAP_5926cf18": {
   "en": "Task Progress Estimation",
   "zh": "任务进度估计",
   "level": "l3"
  },
  "CAP_ffe7f230": {
   "en": "Progress-Conditioned Diffusion Goal Image Editing",
   "zh": "进度条件扩散目标图像编辑",
   "level": "l3"
  },
  "CAP_74d83e32": {
   "en": "Goal Image Update Scheduling",
   "zh": "目标图像更新调度",
   "level": "l3"
  },
  "CAP_3528ffbb": {
   "en": "Dual-Conditioned Multimodal Goal Policy",
   "zh": "双条件多模态目标策略",
   "level": "l2"
  },
  "CAP_f998bcd2": {
   "en": "Observation Encoding for Dual Policy",
   "zh": "双条件策略观测编码",
   "level": "l3"
  },
  "CAP_5de4262a": {
   "en": "Multi-Output Action-Progress-Future Prediction",
   "zh": "多输出动作-进度-未来预测",
   "level": "l3"
  },
  "CAP_ef2a3d27": {
   "en": "Partially-Annotated Data Training",
   "zh": "部分标注数据训练",
   "level": "l2"
  },
  "CAP_8290473d": {
   "en": "Fully-Annotated Dual-Condition Training",
   "zh": "完全标注双条件训练",
   "level": "l3"
  },
  "CAP_bc852f8f": {
   "en": "Video-Only Diffusion Training",
   "zh": "视频数据扩散训练",
   "level": "l3"
  },
  "CAP_7ea5c699": {
   "en": "Action-Only Image-Conditioned Training",
   "zh": "无语言图像条件训练",
   "level": "l3"
  },
  "CAP_9d01380b": {
   "en": "Hindsight Goal Relabeling for Dual Policy",
   "zh": "双条件策略事后目标重标记",
   "level": "l3"
  },
  "CAP_40e96f63": {
   "en": "Bearing PID Go-to-Pose Control",
   "zh": "几何航向PID趋位姿",
   "level": "l2"
  },
  "CAP_f2e1dca2": {
   "en": "Pose Acquisition",
   "zh": "位姿获取",
   "level": "l3"
  },
  "CAP_dd31c6ea": {
   "en": "Goal Pose Setting",
   "zh": "目标位姿设定",
   "level": "l3"
  },
  "CAP_3e9cf566": {
   "en": "Rho-Alpha-Beta Error Computation",
   "zh": "rho-alpha-beta几何误差计算",
   "level": "l3"
  },
  "CAP_60470e28": {
   "en": "Angular Velocity Proportional Control",
   "zh": "角速度比例控制",
   "level": "l3"
  },
  "CAP_032b074c": {
   "en": "Linear Velocity Proportional Control",
   "zh": "线速度比例控制",
   "level": "l3"
  },
  "CAP_c9261d3c": {
   "en": "Potential Field Goal Attraction",
   "zh": "势场/图式向量场目标吸引",
   "level": "l2"
  },
  "CAP_34c51f6d": {
   "en": "Field Parameter Configuration",
   "zh": "势场/图式参数配置",
   "level": "l3"
  },
  "CAP_dfd43f1b": {
   "en": "Vector Summation",
   "zh": "多行为向量加权合成",
   "level": "l3"
  },
  "CAP_6e321a75": {
   "en": "Vector To Differential Mapping",
   "zh": "合成向量到差速轮速映射",
   "level": "l3"
  },
  "CAP_36bf2a88": {
   "en": "Braitenberg Tropotaxis Reactive Navigation",
   "zh": "Braitenberg趋性直连反应式导航",
   "level": "l2"
  },
  "CAP_c193cdd2": {
   "en": "Directional Sensor Read",
   "zh": "定向传感器读数采集",
   "level": "l3"
  },
  "CAP_6e2f6da0": {
   "en": "Signal Gradient Computation",
   "zh": "信号差值与梯度计算",
   "level": "l3"
  },
  "CAP_b3defe04": {
   "en": "Sensor To Wheel Mapping",
   "zh": "传感器-轮速直接映射",
   "level": "l3"
  },
  "CAP_c5a50292": {
   "en": "Differential Drive Speed Synthesis",
   "zh": "差速驱动速度合成",
   "level": "l3"
  },
  "CAP_d817ed9a": {
   "en": "Search Rotation",
   "zh": "信号丢失搜索旋转",
   "level": "l3"
  },
  "CAP_fd4e305b": {
   "en": "Differential Drive Base Execution (Nav2)",
   "zh": "差速底盘执行（Nav2）",
   "level": "l3"
  },
  "CAP_2d06c5a2": {
   "en": "Goal Specification Definition",
   "zh": "目标规范定义",
   "level": "l3"
  },
  "CAP_560685ed": {
   "en": "Goal Message Reception",
   "zh": "目标消息接收",
   "level": "l3"
  },
  "CAP_7138a6f9": {
   "en": "Symbolic Plan to Execution Translation",
   "zh": "符号计划到执行指令翻译",
   "level": "l3"
  },
  "CAP_692a22b9": {
   "en": "Programmatic Prompt Planning Pipeline",
   "zh": "程序化提示规划流水线",
   "level": "l3"
  },
  "CAP_763179f1": {
   "en": "LLM Code Safety Validation",
   "zh": "LLM代码安全验证",
   "level": "l3"
  },
  "CAP_1ac2f96d": {
   "en": "LLM-Composed 3D Value Maps",
   "zh": "LLM合成3D价值图",
   "level": "l3"
  },
  "CAP_2c5e3507": {
   "en": "MPC Closed-Loop Execution with Inner Monologue",
   "zh": "MPC闭环执行与Inner Monologue",
   "level": "l3"
  },
  "CAP_9012659e": {
   "en": "LLM Execution Grounding",
   "zh": "LLM执行接地",
   "level": "l3"
  },
  "CAP_0b6eca05": {
   "en": "Goal Representation Design",
   "zh": "目标表示设计",
   "level": "l3"
  },
  "CAP_d14f93e7": {
   "en": "VLM-Driven Visual Goal State Extraction",
   "zh": "VLM驱动视觉目标状态提取",
   "level": "l3"
  },
  "CAP_282dde89": {
   "en": "Goal Modality Selection",
   "zh": "目标模态选择",
   "level": "l3"
  },
  "CAP_7474addd": {
   "en": "Visual Goal Image Acquisition",
   "zh": "视觉目标图像获取",
   "level": "l3"
  },
  "CAP_9791f306": {
   "en": "Sketch Goal Interpretation",
   "zh": "手绘草图目标理解",
   "level": "l3"
  },
  "CAP_5df3dfbe": {
   "en": "VLM Generative World Model",
   "zh": "VLM生成式世界模型",
   "level": "l3"
  },
  "CAP_63592947": {
   "en": "Feature Matching and Point Cloud Registration",
   "zh": "特征匹配与点云配准",
   "level": "l3"
  },
  "CAP_aa01b129": {
   "en": "VLA End-to-End Action Generation",
   "zh": "VLA端到端动作生成",
   "level": "l3"
  },
  "CAP_f0356d2c": {
   "en": "Visual Goal Distance Computation",
   "zh": "视觉目标距离计算",
   "level": "l3"
  },
  "CAP_7d352959": {
   "en": "Visual Goal Achievement Verification",
   "zh": "视觉目标达成验证",
   "level": "l3"
  },
  "CAP_447cb20b": {
   "en": "Start State Expansion via Brownian Motion",
   "zh": "布朗运动起始状态扩张",
   "level": "l3"
  },
  "CAP_366e7833": {
   "en": "Distance-Gated Goal Sampling",
   "zh": "距离门控目标采样",
   "level": "l3"
  },
  "CAP_ddf715a0": {
   "en": "Success-Driven Distance Threshold Expansion",
   "zh": "成功率驱动距离阈值扩展",
   "level": "l3"
  },
  "CAP_73eef3f9": {
   "en": "Real-time Signal Sampling and Preprocessing",
   "zh": "实时采样与信号预处理",
   "level": "l3"
  },
  "CAP_23c23787": {
   "en": "STL MTL Specification Writing",
   "zh": "STL/MTL规约编写",
   "level": "l3"
  },
  "CAP_bdc243b0": {
   "en": "Temporal Logic Online Monitoring",
   "zh": "时序逻辑在线监控",
   "level": "l3"
  },
  "CAP_8b95138d": {
   "en": "Task Instance State Tracking",
   "zh": "任务实例状态追踪",
   "level": "l3"
  },
  "CAP_04eae788": {
   "en": "Visual-Inertial Odometry for GPS-Denied Navigation",
   "zh": "GPS拒止环境下的视觉惯性里程计",
   "level": "l1"
  },
  "CAP_e76fcd98": {
   "en": "Visual Feature Detection and Tracking",
   "zh": "视觉特征检测与跟踪",
   "level": "l3"
  },
  "CAP_fbd4360d": {
   "en": "IMU Manifold Pre-integration",
   "zh": "IMU流形预积分",
   "level": "l3"
  },
  "CAP_972434ae": {
   "en": "Visual-Inertial Alignment and Initialization",
   "zh": "视觉惯性对齐与初始化",
   "level": "l3"
  },
  "CAP_168ea170": {
   "en": "Sliding Window Bundle Adjustment for VIO",
   "zh": "VIO滑动窗口光束法平差",
   "level": "l3"
  },
  "CAP_064f3bdf": {
   "en": "VIO Failure Detection and Recovery",
   "zh": "VIO故障检测与恢复",
   "level": "l3"
  },
  "CAP_f846f910": {
   "en": "DBoW2 Bag-of-Words Loop Detection",
   "zh": "DBoW2词袋回环检测",
   "level": "l3"
  },
  "CAP_a6e0ec6f": {
   "en": "4DoF Pose Graph Optimization",
   "zh": "4自由度位姿图优化",
   "level": "l3"
  },
  "CAP_3ac5b173": {
   "en": "Loop Closure and Global Optimization",
   "zh": "回环闭合与全局优化",
   "level": "l2"
  },
  "CAP_5976fcef": {
   "en": "Visual-Inertial Preprocessing",
   "zh": "视觉惯性预处理",
   "level": "l2"
  },
  "CAP_87a93d1b": {
   "en": "Feature Tracking",
   "zh": "特征跟踪",
   "level": "l3"
  },
  "CAP_ceecae14": {
   "en": "Tightly-Coupled LiDAR-Inertial Odometry",
   "zh": "紧耦合激光惯性里程计",
   "level": "l2"
  },
  "CAP_699758a3": {
   "en": "Direct Point Cloud Registration (FAST-LIO2)",
   "zh": "直接点云配准（FAST-LIO2）",
   "level": "l3"
  },
  "CAP_caff5ec2": {
   "en": "Iterated Kalman Filter on Manifold (IKFoM)",
   "zh": "流形迭代卡尔曼滤波",
   "level": "l3"
  },
  "CAP_a375f6ad": {
   "en": "ikd-Tree Incremental Mapping",
   "zh": "ikd-Tree增量建图",
   "level": "l3"
  },
  "CAP_e3bf7ec6": {
   "en": "Map-Based Global Localization",
   "zh": "基于预建地图的全局定位",
   "level": "l2"
  },
  "CAP_db7055bd": {
   "en": "Map-Matching Localization Preprocessing",
   "zh": "地图匹配定位预处理",
   "level": "l2"
  },
  "CAP_c7b9471c": {
   "en": "Map-Matching Pose Estimation",
   "zh": "地图匹配位姿估计",
   "level": "l2"
  },
  "CAP_ed115a0e": {
   "en": "Localization Post-processing",
   "zh": "定位后处理",
   "level": "l2"
  },
  "CAP_44f169b4": {
   "en": "Global Localization Initialization",
   "zh": "全局定位初始化",
   "level": "l2"
  },
  "CAP_66bda728": {
   "en": "Global Map and Query Setup",
   "zh": "全局地图与查询设置",
   "level": "l3"
  },
  "CAP_70b5e43d": {
   "en": "Multi-Engine Global Matching",
   "zh": "多引擎全局匹配",
   "level": "l3"
  },
  "CAP_049eea4d": {
   "en": "Anchor Calibration and Deployment",
   "zh": "锚点标定与部署",
   "level": "l3"
  },
  "CAP_a6229eed": {
   "en": "UWB Communication Protocol",
   "zh": "UWB通信协议",
   "level": "l3"
  },
  "CAP_b48e90fb": {
   "en": "Acoustic Positioning (LBL/SBL/USBL)",
   "zh": "声学定位（LBL/SBL/USBL）",
   "level": "l3"
  },
  "CAP_686b13d9": {
   "en": "Infrastructure Signal Reception and Preprocessing",
   "zh": "基础设施信号接收与预处理",
   "level": "l2"
  },
  "CAP_e507b76e": {
   "en": "UWB Anchor Broadcast Reception",
   "zh": "UWB锚点广播接收",
   "level": "l3"
  },
  "CAP_e55f6e3e": {
   "en": "Multilateration Positioning",
   "zh": "多边定位解算",
   "level": "l2"
  },
  "CAP_e9264458": {
   "en": "TDoA Multilateration Solver",
   "zh": "TDoA多边定位解算器",
   "level": "l3"
  },
  "CAP_f102f2be": {
   "en": "Visual Teach and Repeat (VT&R)",
   "zh": "视觉示教-复现",
   "level": "l2"
  },
  "CAP_c5d82982": {
   "en": "Path Recording (Teach Phase)",
   "zh": "路径录制（示教阶段）",
   "level": "l3"
  },
  "CAP_ff3004eb": {
   "en": "Visual Localization against Teach Frames",
   "zh": "相对示教帧的视觉定位",
   "level": "l3"
  },
  "CAP_a0fcac4d": {
   "en": "Relative Pose (Path-Following) Estimation",
   "zh": "相对位姿（路径跟随）估计",
   "level": "l3"
  },
  "CAP_e83fb422": {
   "en": "Stereo Image and Odometry Acquisition",
   "zh": "立体图像与里程计采集",
   "level": "l3"
  },
  "CAP_f5461b6d": {
   "en": "Path Reference Frame Construction",
   "zh": "路径参考帧构建",
   "level": "l3"
  },
  "CAP_153d298a": {
   "en": "Repeat Path Following",
   "zh": "路径复现",
   "level": "l2"
  },
  "CAP_4a7f830d": {
   "en": "Current Frame to Reference Frame Matching",
   "zh": "当前帧与参考帧匹配",
   "level": "l3"
  },
  "CAP_230eae3d": {
   "en": "Lateral and Heading Deviation Extraction",
   "zh": "横向与航向偏差提取",
   "level": "l3"
  },
  "CAP_53eefe21": {
   "en": "Path Following Control",
   "zh": "路径跟踪控制",
   "level": "l3"
  },
  "CAP_305da7fb": {
   "en": "Zero-Velocity Update (ZUPT)",
   "zh": "零速更新",
   "level": "l3"
  },
  "CAP_061b1ce2": {
   "en": "GNSS Satellite Ephemeris Computation",
   "zh": "GNSS卫星星历解算",
   "level": "l3"
  },
  "CAP_bb5f397a": {
   "en": "RAIM Consistency Check",
   "zh": "RAIM一致性检测",
   "level": "l3"
  },
  "CAP_a8f2e435": {
   "en": "GNSS Raw Observation Decoding",
   "zh": "GNSS原始观测解码",
   "level": "l3"
  },
  "CAP_97636502": {
   "en": "GNSS Error Source Correction",
   "zh": "GNSS误差源改正",
   "level": "l3"
  },
  "CAP_c2e14e41": {
   "en": "Tightly-Coupled EKF Clock State Augmentation",
   "zh": "紧耦合EKF接收机钟差状态增广",
   "level": "l3"
  },
  "CAP_74910b4d": {
   "en": "Per-Satellite Pseudorange Sequential EKF Update",
   "zh": "逐星伪距序贯EKF更新",
   "level": "l3"
  },
  "CAP_05525615": {
   "en": "GNSS Doppler Velocity Measurement Update",
   "zh": "GNSS多普勒测速更新",
   "level": "l3"
  },
  "CAP_6ea24a8a": {
   "en": "Tightly-Coupled GNSS-INS EKF Fusion",
   "zh": "紧耦合GNSS-INS EKF融合",
   "level": "l2"
  },
  "CAP_57bda134": {
   "en": "iSAM2 Bayes Tree Marginalization",
   "zh": "iSAM2贝叶斯树边缘化",
   "level": "l3"
  },
  "CAP_79b01bd8": {
   "en": "Factor Graph GPS-IMU Optimization",
   "zh": "因子图GPS-IMU优化",
   "level": "l2"
  },
  "CAP_9f7777fc": {
   "en": "GPS Factor Covariance Gating",
   "zh": "GPS因子协方差门控",
   "level": "l3"
  },
  "CAP_bbf7c36e": {
   "en": "GNSS Degradation Handling",
   "zh": "GNSS退化处理",
   "level": "l3"
  },
  "CAP_ee9c9940": {
   "en": "IMU Preintegration Bias Feedback",
   "zh": "IMU预积分bias反馈",
   "level": "l3"
  },
  "CAP_428e4441": {
   "en": "Factor Graph Incremental Solver",
   "zh": "因子图增量求解器",
   "level": "l3"
  },
  "CAP_89b6b56a": {
   "en": "Factor Graph Optimized Pose Output",
   "zh": "因子图优化位姿输出",
   "level": "l3"
  },
  "CAP_2fc96f5c": {
   "en": "Factor Graph Prior Factor Insertion",
   "zh": "因子图先验因子插入",
   "level": "l3"
  },
  "CAP_3f3d7a8f": {
   "en": "Additional Sensor BetweenFactor Insertion",
   "zh": "附加传感器BetweenFactor插入",
   "level": "l3"
  },
  "CAP_d3a8f1e2": {
   "en": "IMU Measurement Buffering",
   "zh": "IMU测量缓冲",
   "level": "l3"
  },
  "CAP_e9c4b7d6": {
   "en": "Keyframe Selection Strategy",
   "zh": "关键帧选择策略",
   "level": "l3"
  },
  "CAP_7d40a207": {
   "en": "HD-Map Based Localization",
   "zh": "高精地图定位",
   "level": "l2"
  },
  "CAP_3c1f0a38": {
   "en": "Localization Pose & Uncertainty Output",
   "zh": "定位位姿与不确定性输出",
   "level": "l3"
  },
  "CAP_3187c9eb": {
   "en": "Motion Model Pose Prediction",
   "zh": "运动模型位姿预测",
   "level": "l3"
  },
  "CAP_84ef7376": {
   "en": "Simulated Sensor Data Generation",
   "zh": "仿真传感器数据生成",
   "level": "l2"
  },
  "CAP_60606143": {
   "en": "GPS Ground Truth Pose Acquisition",
   "zh": "GPS真值位姿获取",
   "level": "l3"
  },
  "CAP_ab769f42": {
   "en": "Local ENU to WGS84 Reprojection",
   "zh": "局部坐标到WGS84重投影",
   "level": "l3"
  },
  "CAP_493617b0": {
   "en": "GPS Position-Domain Noise Injection",
   "zh": "GPS位置域噪声模型注入",
   "level": "l3"
  },
  "CAP_3c08ba60": {
   "en": "GPS Sensor Delay Buffering",
   "zh": "GPS传感器延迟模拟",
   "level": "l3"
  },
  "CAP_6cff12c4": {
   "en": "GPS DOP and Satellite Status Simulation",
   "zh": "GPS DOP与卫星状态模拟",
   "level": "l3"
  },
  "CAP_d1d49776": {
   "en": "GPS Message Encoding and Publishing",
   "zh": "GPS消息封装与发布",
   "level": "l3"
  },
  "CAP_09925be5": {
   "en": "GNSS RF Signal Injection HIL",
   "zh": "GNSS射频信号注入硬件在环",
   "level": "l2"
  },
  "CAP_9a3bf512": {
   "en": "GNSS Baseband IQ Signal Generation",
   "zh": "GNSS基带IQ信号生成",
   "level": "l3"
  },
  "CAP_98143117": {
   "en": "GNSS Signal HIL Export",
   "zh": "GNSS信号硬件在环导出",
   "level": "l3"
  },
  "CAP_69cf9595": {
   "en": "GNSS RF Signal Synthesis and Injection",
   "zh": "GNSS射频信号合成与注入",
   "level": "l3"
  },
  "CAP_53409e77": {
   "en": "GNSS Constellation and Error Effect Configuration",
   "zh": "星座历书与误差效应配置",
   "level": "l3"
  },
  "CAP_034020cc": {
   "en": "GNSS Trajectory Scenario Definition",
   "zh": "GNSS轨迹场景定义",
   "level": "l3"
  },
  "CAP_a7ff9555": {
   "en": "Ephemeris Decoding",
   "zh": "星历解码",
   "level": "l3"
  },
  "CAP_1c3565ac": {
   "en": "Pseudorange Doppler Preprocessing",
   "zh": "伪距多普勒预处理",
   "level": "l3"
  },
  "CAP_5a03f7d2": {
   "en": "Software Defined GNSS Receiver Configuration",
   "zh": "软件定义GNSS接收机配置",
   "level": "l3"
  },
  "CAP_8c5e2226": {
   "en": "GNSS RF Signal Acquisition and Tracking",
   "zh": "GNSS射频信号捕获与跟踪",
   "level": "l3"
  },
  "CAP_6512d9b8": {
   "en": "GNSS Receiver Response Acquisition",
   "zh": "GNSS接收机响应采集",
   "level": "l3"
  },
  "CAP_d374367f": {
   "en": "GNSS PVT Degradation Assessment",
   "zh": "GNSS定位退化评估",
   "level": "l3"
  },
  "CAP_94f9ea9a": {
   "en": "GNSS HIL Positioning Accuracy Assessment",
   "zh": "GNSS HIL定位精度评估",
   "level": "l3"
  },
  "CAP_8f0f731d": {
   "en": "RINEX Navigation File Parsing",
   "zh": "RINEX广播星历文件解析",
   "level": "l3"
  },
  "CAP_d0537cd3": {
   "en": "GPS CA Code Generation",
   "zh": "GPS C/A码Gold序列生成",
   "level": "l3"
  },
  "CAP_98b69a12": {
   "en": "Klobuchar Ionospheric Delay Model",
   "zh": "Klobuchar电离层延迟模型",
   "level": "l3"
  },
  "CAP_12ab8f1b": {
   "en": "GPS Navigation Message Encoding",
   "zh": "GPS导航电文子帧编码",
   "level": "l3"
  },
  "CAP_abc7239d": {
   "en": "GPS BPSK Spread Spectrum Modulation",
   "zh": "GPS L1 C/A BPSK扩频调制",
   "level": "l3"
  },
  "CAP_04aa4543": {
   "en": "SDR TX Playback Configuration",
   "zh": "SDR发射回放配置",
   "level": "l3"
  },
  "CAP_955b8f5d": {
   "en": "ECEF Coordinate Transform Suite",
   "zh": "ECEF坐标变换套件",
   "level": "l3"
  },
  "CAP_0a9e0f5a": {
   "en": "GPS Data Reception and Status Validation",
   "zh": "GPS数据接收与状态校验",
   "level": "l3"
  },
  "CAP_798f9d8a": {
   "en": "GPS-Odometry-LoopClosure Multi-Constraint Synergy",
   "zh": "GPS-里程计-回环多源约束协同",
   "level": "l3"
  },
  "CAP_aa1cfc34": {
   "en": "GNSS Frontend Processing",
   "zh": "GNSS前端处理",
   "level": "l3"
  },
  "CAP_fe74963a": {
   "en": "Pseudorange Factor Construction",
   "zh": "伪距因子构造",
   "level": "l3"
  },
  "CAP_e56905bf": {
   "en": "Doppler Factor Construction",
   "zh": "多普勒因子构造",
   "level": "l3"
  },
  "CAP_04f007d3": {
   "en": "GNSS VIO Joint Optimization",
   "zh": "GNSS-VIO联合优化",
   "level": "l2"
  },
  "CAP_ebfcdd88": {
   "en": "Coarse-to-Fine GNSS-VI Online Initialization",
   "zh": "GNSS-VI粗到精在线初始化",
   "level": "l3"
  },
  "CAP_db0816cc": {
   "en": "GNSS Receiver Clock Bias/Drift Random Walk with Anchor/Yaw State Augmentation",
   "zh": "GNSS接收机钟差钟漂随机游走与锚点/yaw状态增广",
   "level": "l3"
  },
  "CAP_ad008d2a": {
   "en": "LiDAR Point Cloud Deskew and Feature Extraction",
   "zh": "LiDAR点云去畸变与特征提取",
   "level": "l3"
  },
  "CAP_4d4dc09d": {
   "en": "Keyframe Selection and BetweenFactor Addition",
   "zh": "关键帧选择与里程计因子添加",
   "level": "l3"
  },
  "CAP_5713e53f": {
   "en": "GNSS Visual Inertial Pipeline",
   "zh": "GNSS-视觉惯性紧耦合流水线",
   "level": "l2"
  },
  "CAP_65857ff2": {
   "en": "ECEF ENU Online Alignment",
   "zh": "ECEF-ENU在线对齐",
   "level": "l3"
  },
  "CAP_98f8b61c": {
   "en": "GNSS Multipath Detection",
   "zh": "GNSS多径检测抑制",
   "level": "l3"
  },
  "CAP_63d54df9": {
   "en": "GNSS Outlier Detection and Rejection",
   "zh": "GNSS粗差检测剔除",
   "level": "l3"
  },
  "CAP_97692339": {
   "en": "Global Pose Recovery",
   "zh": "全局位姿恢复",
   "level": "l3"
  },
  "CAP_26f4234d": {
   "en": "GPS-VIO Loosely-Coupled Pose Graph Fusion",
   "zh": "松耦合GPS-VIO位姿图融合",
   "level": "l2"
  },
  "CAP_0e6e5d25": {
   "en": "GPS PVT Preprocessing",
   "zh": "GPS PVT接收预处理",
   "level": "l3"
  },
  "CAP_60ba6fc2": {
   "en": "GPS Outlier Rejection (Pose Graph)",
   "zh": "GPS异常值剔除(位姿图场景)",
   "level": "l3"
  },
  "CAP_c2ce7009": {
   "en": "GPS-Denied Degradation Handling (Pose Graph)",
   "zh": "GPS拒止退化处理(位姿图场景)",
   "level": "l3"
  },
  "CAP_5c438a9a": {
   "en": "GNSS-VIO Time Synchronization",
   "zh": "GNSS-VIO时间同步",
   "level": "l3"
  },
  "CAP_79a53d3d": {
   "en": "GPU Spatial Hashing Dense Volumetric Reconstruction",
   "zh": "GPU空间哈希稠密体积重建",
   "level": "l2"
  },
  "CAP_1df9a4b6": {
   "en": "Depth Preprocessing and Dense Volume TSDF Integration",
   "zh": "深度预处理与稠密体积TSDF积分",
   "level": "l3"
  },
  "CAP_9436d547": {
   "en": "GPU ICP Correspondence and Reduction",
   "zh": "GPU ICP对应查找与正规方程累加",
   "level": "l3"
  },
  "CAP_87aa2c73": {
   "en": "Per-Block Hashing for Real-Time Reconstruction",
   "zh": "逐体素块桶化哈希实时重建",
   "level": "l2"
  },
  "CAP_c64443f7": {
   "en": "Bucketed Spatial Hash Table Construction",
   "zh": "桶化空间哈希表构建",
   "level": "l3"
  },
  "CAP_cb49589e": {
   "en": "GPU Parallel Voxel Block TSDF Update",
   "zh": "GPU并行体素块TSDF更新",
   "level": "l3"
  },
  "CAP_bb0414f6": {
   "en": "Hash Table Garbage Collection and Streaming Swap",
   "zh": "哈希表垃圾回收与流式换出",
   "level": "l3"
  },
  "CAP_de42ad7b": {
   "en": "Voxel Block On-Demand Meshing",
   "zh": "体素块按需网格化",
   "level": "l3"
  },
  "CAP_d5d06413": {
   "en": "GPU Native Multi-Layer SDF Navigation Mapping",
   "zh": "GPU原生多层SDF导航建图",
   "level": "l2"
  },
  "CAP_ff118931": {
   "en": "GPU Multi-Layer TSDF Color Occupancy Fusion",
   "zh": "GPU多层TSDF/Color/Occupancy共址融合",
   "level": "l3"
  },
  "CAP_848e7d0d": {
   "en": "GPU Incremental ESDF Distance Transform",
   "zh": "GPU增量ESDF距离变换",
   "level": "l3"
  },
  "CAP_50bc6e0d": {
   "en": "GPU 3D-to-2D Navigation Costmap Projection",
   "zh": "GPU 3D到2D导航代价地图投影",
   "level": "l3"
  },
  "CAP_4357bc12": {
   "en": "GPU BitVector Voxel Collision Query",
   "zh": "GPU BitVector体素碰撞查询",
   "level": "l3"
  },
  "CAP_ffd24637": {
   "en": "GPU Probabilistic Voxel Occupancy Map Update",
   "zh": "GPU概率体素占据地图更新",
   "level": "l3"
  },
  "CAP_d2c1ec4b": {
   "en": "LoopClosurePoseGraphOptimization",
   "zh": "回环检测与位姿图优化",
   "level": "l3"
  },
  "CAP_31aa6f45": {
   "en": "GPU Pose Graph Optimization",
   "zh": "GPU位姿图优化",
   "level": "l3"
  },
  "CAP_b53f88a0": {
   "en": "Frame Processing Complete",
   "zh": "帧处理完成",
   "level": "l3"
  },
  "CAP_e8198d8f": {
   "en": "GPU Physics Initialization",
   "zh": "GPU 物理初始化",
   "level": "l2"
  },
  "CAP_1296bfdf": {
   "en": "PhysX GPU Foundation Initialization",
   "zh": "PhysX GPU 基础初始化",
   "level": "l3"
  },
  "CAP_9dd7233a": {
   "en": "GPU Scene Creation",
   "zh": "GPU 场景创建",
   "level": "l3"
  },
  "CAP_a562bdda": {
   "en": "Joint and Shape Configuration",
   "zh": "关节与形状配置",
   "level": "l3"
  },
  "CAP_cd08284d": {
   "en": "GPU Batch Physics Stepping",
   "zh": "GPU 批量物理步进",
   "level": "l2"
  },
  "CAP_2198e5fa": {
   "en": "GPU Broadphase Collision Detection",
   "zh": "GPU 宽相碰撞检测",
   "level": "l3"
  },
  "CAP_ac212c16": {
   "en": "GPU Narrowphase Contact Generation",
   "zh": "GPU 窄相接触生成",
   "level": "l3"
  },
  "CAP_923db6dc": {
   "en": "TGS Constraint Batch Construction",
   "zh": "TGS 约束批构建",
   "level": "l3"
  },
  "CAP_a3663bba": {
   "en": "GPU TGS Solver Iteration",
   "zh": "GPU TGS 求解器迭代",
   "level": "l3"
  },
  "CAP_3d17f236": {
   "en": "GPU State Integration",
   "zh": "GPU 状态积分",
   "level": "l3"
  },
  "CAP_7d6c598a": {
   "en": "Joint Actuation Application",
   "zh": "关节驱动应用",
   "level": "l3"
  },
  "CAP_1bd05778": {
   "en": "State Observation and Reward Computation",
   "zh": "状态观测与奖励计算",
   "level": "l2"
  },
  "CAP_7405f0c5": {
   "en": "State Tensor Refresh",
   "zh": "状态张量刷新",
   "level": "l3"
  },
  "CAP_56ff91a6": {
   "en": "Observation Vector Assembly",
   "zh": "观测向量拼接",
   "level": "l3"
  },
  "CAP_4f622260": {
   "en": "Reward Computation on GPU",
   "zh": "GPU 奖励计算",
   "level": "l3"
  },
  "CAP_54e9180c": {
   "en": "Indexed Reset and Randomization",
   "zh": "索引化重置与随机化",
   "level": "l3"
  },
  "CAP_b362871c": {
   "en": "Camera and Sensor Simulation",
   "zh": "相机与传感器仿真",
   "level": "l2"
  },
  "CAP_9f92db60": {
   "en": "GPU Camera Sensor Rendering",
   "zh": "GPU 相机传感器渲染",
   "level": "l3"
  },
  "CAP_975cf050": {
   "en": "Contact Force and IMU Simulation",
   "zh": "接触力与 IMU 仿真",
   "level": "l3"
  },
  "CAP_45d3c8ff": {
   "en": "GPU Parallel Physics Solving",
   "zh": "GPU并行物理求解",
   "level": "l2"
  },
  "CAP_e81a2326": {
   "en": "GPU Batch Environment Instantiation",
   "zh": "GPU批量环境实例化与SoA布局",
   "level": "l3"
  },
  "CAP_2079456b": {
   "en": "PhysX Actor Shape and Joint Configuration",
   "zh": "PhysX Actor/Shape/关节配置",
   "level": "l3"
  },
  "CAP_27db4118": {
   "en": "Zero-Copy Tensor Observation Acquisition",
   "zh": "零拷贝张量观测获取",
   "level": "l3"
  },
  "CAP_08675122": {
   "en": "TGS Constraint Batching and Graph Coloring",
   "zh": "TGS约束批构建与图着色分块",
   "level": "l3"
  },
  "CAP_4ac95d6e": {
   "en": "GPU Batch Physics Integration",
   "zh": "GPU批量物理积分步进",
   "level": "l3"
  },
  "CAP_177b6c0f": {
   "en": "GPU Joint Actuation and Action Application",
   "zh": "GPU关节驱动与动作应用",
   "level": "l3"
  },
  "CAP_96057661": {
   "en": "GPU Large-Scale Parallel Physics Simulation",
   "zh": "GPU大规模并行物理仿真",
   "level": "l2"
  },
  "CAP_0ac5c8f7": {
   "en": "GPU Tensor Refresh and Observation Concatenation",
   "zh": "GPU张量刷新与观测拼接",
   "level": "l3"
  },
  "CAP_eb314106": {
   "en": "GPU Reward Computation and Indexed Reset",
   "zh": "GPU奖励计算与索引化重置",
   "level": "l3"
  },
  "CAP_837ada40": {
   "en": "GPU Sensor Simulation",
   "zh": "GPU传感器仿真",
   "level": "l2"
  },
  "CAP_85f6dd06": {
   "en": "GPU Camera Rendering",
   "zh": "GPU相机渲染",
   "level": "l3"
  },
  "CAP_68c875d0": {
   "en": "GPU Force and IMU Simulation",
   "zh": "GPU接触力与IMU仿真",
   "level": "l3"
  },
  "CAP_eb15bd5a": {
   "en": "Vectorized GPU Collision Detection",
   "zh": "向量化GPU碰撞检测",
   "level": "l2"
  },
  "CAP_9a04dd23": {
   "en": "GPU Parallel Simulation Environment Setup",
   "zh": "GPU并行仿真环境搭建",
   "level": "l3"
  },
  "CAP_abaa5ef6": {
   "en": "GPU Physics Scene Initialization",
   "zh": "GPU物理场景初始化",
   "level": "l2"
  },
  "CAP_4e1aa169": {
   "en": "Physics Engine Configuration",
   "zh": "物理引擎配置",
   "level": "l3"
  },
  "CAP_18632b1e": {
   "en": "Scene and Terrain Loading",
   "zh": "场景与地形加载",
   "level": "l3"
  },
  "CAP_71b09c36": {
   "en": "GPU Collision Detection and Solving",
   "zh": "GPU碰撞检测与约束求解",
   "level": "l3"
  },
  "CAP_2b75dfa1": {
   "en": "State Tensor Synchronization",
   "zh": "状态张量同步",
   "level": "l3"
  },
  "CAP_2d39d3c4": {
   "en": "GPU RL Training Loop",
   "zh": "GPU强化学习训练循环",
   "level": "l2"
  },
  "CAP_a598a7ba": {
   "en": "Policy Inference and Action",
   "zh": "策略推理与动作执行",
   "level": "l3"
  },
  "CAP_afb70122": {
   "en": "Reward Computation and Policy Update",
   "zh": "奖励计算与策略更新",
   "level": "l3"
  },
  "CAP_1df5c267": {
   "en": "PBD/XPBD Unified Particle Simulation Pipeline",
   "zh": "PBD/XPBD统一粒子仿真流水线",
   "level": "l2"
  },
  "CAP_57bf295e": {
   "en": "Unified Particle Discretization and Constraint Topology Construction",
   "zh": "统一粒子离散化与约束拓扑构建",
   "level": "l3"
  },
  "CAP_74040d62": {
   "en": "GPU Spatial Hash Neighbor Search",
   "zh": "GPU空间哈希近邻搜索",
   "level": "l3"
  },
  "CAP_b4f14d6d": {
   "en": "PBD/XPBD Constraint Projection Solver",
   "zh": "PBD/XPBD约束投影求解",
   "level": "l3"
  },
  "CAP_778e514c": {
   "en": "Velocity Prediction and External Force Integration",
   "zh": "速度预测与外力积分",
   "level": "l3"
  },
  "CAP_57346bc9": {
   "en": "Friction and Damping Post-processing",
   "zh": "摩擦与阻尼后处理",
   "level": "l3"
  },
  "CAP_5544e19a": {
   "en": "Collision Coupling",
   "zh": "碰撞耦合",
   "level": "l2"
  },
  "CAP_86eeb656": {
   "en": "Particle-Particle Collision Detection",
   "zh": "粒子-粒子碰撞检测",
   "level": "l3"
  },
  "CAP_105b7964": {
   "en": "Particle-Shape Collision Detection",
   "zh": "粒子-形状碰撞检测",
   "level": "l3"
  },
  "CAP_93d439f1": {
   "en": "Rigid-Deformable Two-way Coupling",
   "zh": "刚体-可变形双向耦合",
   "level": "l3"
  },
  "CAP_bb74d7dd": {
   "en": "Output and State Export",
   "zh": "输出与状态导出",
   "level": "l2"
  },
  "CAP_86ddb9e9": {
   "en": "Zero-copy State Export",
   "zh": "零拷贝状态导出",
   "level": "l3"
  },
  "CAP_b89ca63f": {
   "en": "Surface Reconstruction and Rendering",
   "zh": "表面重建与渲染",
   "level": "l3"
  },
  "CAP_c718da85": {
   "en": "Velocity Update and Substep Advancement",
   "zh": "速度更新与子步推进",
   "level": "l3"
  },
  "CAP_1f02f1b5": {
   "en": "PBD Simulation Pipeline",
   "zh": "PBD 仿真流水线",
   "level": "l2"
  },
  "CAP_12852430": {
   "en": "PBD Constraint Topology Construction",
   "zh": "PBD 约束拓扑构建",
   "level": "l3"
  },
  "CAP_1ed41561": {
   "en": "PBD Constraint Batch Construction and Solve",
   "zh": "PBD 约束批构建与求解",
   "level": "l3"
  },
  "CAP_ae80aa44": {
   "en": "GPU Collision Response Kernel",
   "zh": "GPU 碰撞响应内核",
   "level": "l2"
  },
  "CAP_02816650": {
   "en": "SoftGym Deformable RL Benchmark",
   "zh": "SoftGym 可变形物 RL 基准",
   "level": "l2"
  },
  "CAP_832dc710": {
   "en": "Soft Body Gym Environment Build",
   "zh": "软体 Gym 环境构建",
   "level": "l3"
  },
  "CAP_ae5ff32e": {
   "en": "Warp XPBD Rigid Body Constraint Solver",
   "zh": "Warp XPBD刚体约束求解器",
   "level": "l3"
  },
  "CAP_14306fc3": {
   "en": "FleX PBD Particle Simulation",
   "zh": "FleX PBD粒子仿真",
   "level": "l3"
  },
  "CAP_5e7320ca": {
   "en": "Deformable Object Manipulation Execution",
   "zh": "可变形物体操作执行",
   "level": "l3"
  },
  "CAP_751ce8fc": {
   "en": "GPU Scene Initialization For Collision Detection",
   "zh": "GPU碰撞检测场景初始化",
   "level": "l2"
  },
  "CAP_5a7715f7": {
   "en": "GPU Dispatcher Initialization",
   "zh": "GPU碰撞调度器初始化",
   "level": "l3"
  },
  "CAP_8f04c550": {
   "en": "Shape Geometry Preprocessing And GPU Upload",
   "zh": "Shape几何预处理与GPU上传",
   "level": "l3"
  },
  "CAP_54f22cb2": {
   "en": "GPU Broadphase AABB Update",
   "zh": "GPU宽相AABB更新",
   "level": "l3"
  },
  "CAP_e01c30dc": {
   "en": "GPU Parallel Sweep-and-Prune (eSAP)",
   "zh": "GPU并行增强SAP宽相",
   "level": "l3"
  },
  "CAP_f78c1b52": {
   "en": "GPU Multi-Box Pruning (MBP)",
   "zh": "GPU多box pruning宽相",
   "level": "l3"
  },
  "CAP_b6a0c605": {
   "en": "GPU Collision Pair Filtering",
   "zh": "GPU碰撞对过滤",
   "level": "l3"
  },
  "CAP_b6c53490": {
   "en": "GPU Persistent Contact Manifold",
   "zh": "GPU持久接触流形维护",
   "level": "l3"
  },
  "CAP_3a0806e1": {
   "en": "GPU Continuous Collision Detection (CCD)",
   "zh": "GPU连续碰撞检测",
   "level": "l3"
  },
  "CAP_d2b33cd6": {
   "en": "GPU Contact Constraint Preparation",
   "zh": "GPU接触约束准备",
   "level": "l3"
  },
  "CAP_0c161235": {
   "en": "GPU Contact Generation And CCD",
   "zh": "GPU接触生成与连续碰撞检测",
   "level": "l2"
  },
  "CAP_3b5c6d3c": {
   "en": "GPU SDF Collision Query",
   "zh": "GPU SDF碰撞查询",
   "level": "l2"
  },
  "CAP_f28b8244": {
   "en": "GPU Spatial Hashing Collision Detection",
   "zh": "GPU空间哈希碰撞检测",
   "level": "l2"
  },
  "CAP_d8d6857e": {
   "en": "GPU Particle Hash Insertion",
   "zh": "GPU粒子哈希插入",
   "level": "l3"
  },
  "CAP_890f3139": {
   "en": "Warp Collision Detection Kernel",
   "zh": "Warp碰撞检测内核",
   "level": "l3"
  },
  "CAP_a24eb73d": {
   "en": "SPH Collision Handling",
   "zh": "SPH碰撞处理",
   "level": "l3"
  },
  "CAP_d54993cc": {
   "en": "Learning-Accelerated Predictive Collision Check",
   "zh": "学习加速预测碰撞检测",
   "level": "l2"
  },
  "CAP_9f54fc59": {
   "en": "Collision Detection Training Data Generation",
   "zh": "碰撞检测训练数据生成",
   "level": "l3"
  },
  "CAP_da53e940": {
   "en": "C-space Configuration Encoding",
   "zh": "C-space配置编码",
   "level": "l3"
  },
  "CAP_fdb5a71d": {
   "en": "Workspace Geometry Latent Encoding",
   "zh": "工作空间几何隐式编码",
   "level": "l3"
  },
  "CAP_d6b35df5": {
   "en": "Neural Broad-phase Filtering",
   "zh": "神经宽相筛选",
   "level": "l3"
  },
  "CAP_771943c9": {
   "en": "Neural Narrow-phase Collision Prediction",
   "zh": "神经窄相碰撞判决",
   "level": "l3"
  },
  "CAP_9ca868df": {
   "en": "GPU Batch Collision Inference",
   "zh": "GPU批量碰撞推理",
   "level": "l3"
  },
  "CAP_cd4b04b6": {
   "en": "Differentiable Collision Gradient",
   "zh": "可微碰撞梯度计算",
   "level": "l3"
  },
  "CAP_4cb758ae": {
   "en": "Geometric Fallback Safety Verification",
   "zh": "几何fallback安全验证",
   "level": "l3"
  },
  "CAP_f4dfa1d5": {
   "en": "SPH GPU WCSPH Engineering Pipeline",
   "zh": "SPH GPU弱可压工程管线",
   "level": "l3"
  },
  "CAP_a198eec5": {
   "en": "SPH Implicit Pressure Free Surface Pipeline",
   "zh": "SPH隐式压力自由液面管线",
   "level": "l3"
  },
  "CAP_a27df846": {
   "en": "GPU Parallel SPH Simulation",
   "zh": "GPU并行SPH流体仿真",
   "level": "l3"
  },
  "CAP_810191f4": {
   "en": "SPH Scene Load and Particle Init",
   "zh": "SPH场景加载与粒子初始化",
   "level": "l3"
  },
  "CAP_e34c6017": {
   "en": "SPH Particle Initialization and Collision Config",
   "zh": "SPH粒子初始化与碰撞配置",
   "level": "l3"
  },
  "CAP_e14ce7e6": {
   "en": "SPH Rigid-Fluid Coupling",
   "zh": "SPH刚流耦合",
   "level": "l3"
  },
  "CAP_b45d4332": {
   "en": "GPU SPH Neighbor Search",
   "zh": "GPU SPH邻域搜索",
   "level": "l3"
  },
  "CAP_2e2f57c7": {
   "en": "SPH Density Kernel Estimation",
   "zh": "SPH密度核估计",
   "level": "l3"
  },
  "CAP_4355f680": {
   "en": "SPH Pressure and Viscous Force Computation",
   "zh": "SPH压力与粘性力计算",
   "level": "l3"
  },
  "CAP_108db31f": {
   "en": "SPH GPU Time Integration",
   "zh": "SPH GPU时间积分",
   "level": "l3"
  },
  "CAP_4f6c4241": {
   "en": "SPH PBF Realtime GPU Pipeline",
   "zh": "SPH位置约束实时GPU管线",
   "level": "l3"
  },
  "CAP_1947a211": {
   "en": "SPH Realtime Surface Rendering",
   "zh": "SPH实时表面渲染",
   "level": "l3"
  },
  "CAP_0fdff04b": {
   "en": "PBD Unified Particle Phase Configuration",
   "zh": "PBD统一相态粒子配置",
   "level": "l3"
  },
  "CAP_22ff74b3": {
   "en": "MPM Plasticity Deformation Gradient Projection",
   "zh": "MPM塑性变形梯度投影",
   "level": "l3"
  },
  "CAP_035b0cba": {
   "en": "DEM Contact Detection",
   "zh": "DEM接触检测",
   "level": "l3"
  },
  "CAP_e2ae92d8": {
   "en": "DEM Hertz Mindlin Contact Force",
   "zh": "DEM Hertz-Mindlin接触力计算",
   "level": "l3"
  },
  "CAP_6f454598": {
   "en": "DEM Explicit Time Integration",
   "zh": "DEM显式时间积分",
   "level": "l3"
  },
  "CAP_078a9038": {
   "en": "Particle Graph Construction",
   "zh": "粒子图构建",
   "level": "l3"
  },
  "CAP_f30c2aa4": {
   "en": "Interaction Network",
   "zh": "相互作用网络",
   "level": "l3"
  },
  "CAP_26a5912c": {
   "en": "GNS Message Passing Network",
   "zh": "GNS消息传递网络",
   "level": "l3"
  },
  "CAP_3f6293c1": {
   "en": "GNS Rollout Inference",
   "zh": "GNS Rollout推理",
   "level": "l3"
  },
  "CAP_d07176c0": {
   "en": "PhysX GPU Articulation Featherstone Dynamics",
   "zh": "PhysX GPU铰接体Featherstone动力学",
   "level": "l3"
  },
  "CAP_a9e7e994": {
   "en": "JAX State Transfer to GPU",
   "zh": "JAX状态GPU迁移",
   "level": "l3"
  },
  "CAP_27f146b6": {
   "en": "Gpu Batched Differentiable Forward Dynamics",
   "zh": "GPU批量可微前向动力学",
   "level": "l3"
  },
  "CAP_4547f0b7": {
   "en": "Massively Parallel Environment Stepping",
   "zh": "大规模并行环境步进",
   "level": "l3"
  },
  "CAP_389c549c": {
   "en": "WarpGPUEnvStateInitialization",
   "zh": "Warp GPU环境状态初始化",
   "level": "l3"
  },
  "CAP_e0225ebb": {
   "en": "Service Restart Orchestration",
   "zh": "服务级重启编排",
   "level": "l2"
  },
  "CAP_3cfbbe80": {
   "en": "Restart Backoff and Rate Limiting",
   "zh": "重启退避与频率限制",
   "level": "l3"
  },
  "CAP_beb4f0ee": {
   "en": "A/B Partition Boot Redundancy Management",
   "zh": "A/B分区启动冗余管理",
   "level": "l2"
  },
  "CAP_3664b1c9": {
   "en": "Hardware Watchdog Arming",
   "zh": "硬件看门狗预装与接力喂狗",
   "level": "l3"
  },
  "CAP_6011be25": {
   "en": "Post-update Device Health Verification",
   "zh": "更新后设备健康检查与确认",
   "level": "l3"
  },
  "CAP_2fcad4c6": {
   "en": "Boot Success Marking",
   "zh": "启动成功标记",
   "level": "l3"
  },
  "CAP_06133387": {
   "en": "Bootcount Limited Retry",
   "zh": "bootcount持久化计数与试启动循环控制",
   "level": "l3"
  },
  "CAP_d27b1880": {
   "en": "Dual-Channel Safety Relay Topology Design",
   "zh": "双通道安全继电器拓扑设计",
   "level": "l3"
  },
  "CAP_1022acf2": {
   "en": "Safety Stop Interlock and EDM Diagnostics",
   "zh": "安全停机联锁与EDM诊断",
   "level": "l3"
  },
  "CAP_87d76319": {
   "en": "Safety Controller Zone Logic Evaluation",
   "zh": "安全控制器区域逻辑评估",
   "level": "l3"
  },
  "CAP_8416968e": {
   "en": "Start-Restart Interlock and Feedback Loop",
   "zh": "启动重启互锁反馈回路",
   "level": "l3"
  },
  "CAP_e4b14ccc": {
   "en": "Safety Mat Recovery and Restart Interlock",
   "zh": "压敏垫恢复与重启联锁",
   "level": "l3"
  },
  "CAP_b1a9a2a6": {
   "en": "Cobot STO Integration",
   "zh": "协作机器人STO集成与PFL自动恢复",
   "level": "l3"
  },
  "CAP_51fa5950": {
   "en": "Reptile Interpolation Update",
   "zh": "Reptile 插值更新",
   "level": "l3"
  },
  "CAP_20628c0a": {
   "en": "Warp-Layer Nonlinear Gradient Preconditioning (WarpGrad)",
   "zh": "Warp层非线性梯度预处理",
   "level": "l3"
  },
  "CAP_7d197fc6": {
   "en": "Meta-Learning Replay Buffer for Warp Parameter Updates",
   "zh": "元学习回放缓冲区",
   "level": "l3"
  },
  "CAP_814b7cf7": {
   "en": "Learned Subspace and Metric Adaptation (MT-net)",
   "zh": "学习子空间与度量适应",
   "level": "l3"
  },
  "CAP_c6a74ce4": {
   "en": "Stigmergic Field Management",
   "zh": "信息素场管理",
   "level": "l2"
  },
  "CAP_eba7e3bd": {
   "en": "Pheromone Grid Overlay Initialization",
   "zh": "信息素栅格叠加层初始化",
   "level": "l3"
  },
  "CAP_6469218d": {
   "en": "Pheromone Deposition at Robot Position",
   "zh": "机器人位置信息素沉积",
   "level": "l3"
  },
  "CAP_ff262c98": {
   "en": "Random Walk Motion Controller",
   "zh": "随机游走运动控制",
   "level": "l3"
  },
  "CAP_fdffdd99": {
   "en": "Cooperative Source Sensing",
   "zh": "协同环境感知与本地测量",
   "level": "l2"
  },
  "CAP_bffd591d": {
   "en": "Neighbor Communication Topology",
   "zh": "邻居通信拓扑维护",
   "level": "l2"
  },
  "CAP_fe560508": {
   "en": "Distributed Gradient Estimation",
   "zh": "分布式梯度估计",
   "level": "l2"
  },
  "CAP_37d72de5": {
   "en": "Chemotactic Source Seeking Control",
   "zh": "趋化性源搜索运动控制",
   "level": "l2"
  },
  "CAP_a0c3c1ea": {
   "en": "Source Validation and Termination",
   "zh": "源确认与终止检测",
   "level": "l2"
  },
  "CAP_cbd8d9ac": {
   "en": "Scalar Field Measurement",
   "zh": "标量场信号采集",
   "level": "l3"
  },
  "CAP_1d4a188e": {
   "en": "Signal Denoising and Luciferin Update",
   "zh": "信号去噪与luciferin更新",
   "level": "l3"
  },
  "CAP_003b0ecd": {
   "en": "Neighbor Discovery and Beacon Broadcast",
   "zh": "邻居发现与beacon广播",
   "level": "l3"
  },
  "CAP_dafd17f3": {
   "en": "Decision Domain Adaptation",
   "zh": "决策域自适应调整",
   "level": "l3"
  },
  "CAP_5b3edd27": {
   "en": "Spatial Least-Squares Gradient Fitting",
   "zh": "空间最小二乘梯度拟合",
   "level": "l3"
  },
  "CAP_979c109a": {
   "en": "ES Dithering Demodulation",
   "zh": "极值寻优扰动解调",
   "level": "l3"
  },
  "CAP_0b99eeef": {
   "en": "Consensus Gradient Fusion",
   "zh": "一致性梯度融合",
   "level": "l3"
  },
  "CAP_4284b671": {
   "en": "Gradient Quality Validation",
   "zh": "梯度质量验证",
   "level": "l3"
  },
  "CAP_18f315dc": {
   "en": "Gradient Ascent Direction",
   "zh": "梯度上升方向计算",
   "level": "l3"
  },
  "CAP_406d7b1b": {
   "en": "Direction Merge",
   "zh": "方向分支合并",
   "level": "l3"
  },
  "CAP_3ad459db": {
   "en": "Gradient-Based Velocity Command",
   "zh": "梯度速度指令生成",
   "level": "l3"
  },
  "CAP_c817211f": {
   "en": "Collision Avoidance and Connectivity Maintenance",
   "zh": "碰撞避免与连通保持",
   "level": "l3"
  },
  "CAP_97b8e8ae": {
   "en": "Multi-source Segmentation",
   "zh": "多源空间分割",
   "level": "l3"
  },
  "CAP_467e1f54": {
   "en": "Gradient Surgery Conflict Resolution",
   "zh": "梯度外科冲突化解",
   "level": "l2"
  },
  "CAP_7c057efc": {
   "en": "Per-Task Gradient Computation",
   "zh": "逐任务梯度计算",
   "level": "l3"
  },
  "CAP_b1925d91": {
   "en": "Gradient Conflict Detection",
   "zh": "梯度冲突检测",
   "level": "l3"
  },
  "CAP_9de87108": {
   "en": "Gradient Vaccine Alignment",
   "zh": "梯度疫苗相似度对齐",
   "level": "l3"
  },
  "CAP_9781bcfb": {
   "en": "Post-Projection Gradient Aggregation",
   "zh": "投影后梯度聚合与优化步进",
   "level": "l3"
  },
  "CAP_9a866a1d": {
   "en": "Gradient Surgery Training Loop",
   "zh": "多任务梯度外科训练循环",
   "level": "l3"
  },
  "CAP_8d753add": {
   "en": "Multi-Objective Pareto Optimization for MTL",
   "zh": "多目标 Pareto 优化",
   "level": "l2"
  },
  "CAP_48b23734": {
   "en": "Min-Norm Subproblem Formulation",
   "zh": "最小范数子问题构造",
   "level": "l3"
  },
  "CAP_b2ef4bf6": {
   "en": "Pareto Descent Direction Solving via Frank-Wolfe",
   "zh": "Frank-Wolfe 求解 Pareto 下降方向",
   "level": "l3"
  },
  "CAP_275af450": {
   "en": "Conflict-Averse Pareto Direction Optimization",
   "zh": "冲突规避 Pareto 方向优化",
   "level": "l3"
  },
  "CAP_79e008db": {
   "en": "Multi-Objective Pareto MTL Training Loop",
   "zh": "多目标 Pareto 优化训练循环",
   "level": "l3"
  },
  "CAP_efe88c83": {
   "en": "Gradient Sign-Magnitude Statistics Computation",
   "zh": "梯度符号/量级统计",
   "level": "l3"
  },
  "CAP_a9e062dc": {
   "en": "Element-wise Gradient Sign Dropout",
   "zh": "逐参数梯度符号丢弃",
   "level": "l3"
  },
  "CAP_0fc2c7c6": {
   "en": "Impartial Gradient Balancing",
   "zh": "公正梯度平衡",
   "level": "l3"
  },
  "CAP_6eebc0c8": {
   "en": "Gradient Subspace Alignment and Rotation Homogenization",
   "zh": "梯度子空间对齐与旋转同质化",
   "level": "l3"
  },
  "CAP_e6041c0a": {
   "en": "Gradient Sign-Magnitude Modulation Training Loop",
   "zh": "梯度符号-量级调制训练循环",
   "level": "l3"
  },
  "CAP_733c4203": {
   "en": "Bivariate Granger Causality Pipeline",
   "zh": "双变量Granger因果检验流水线",
   "level": "l2"
  },
  "CAP_e80cf849": {
   "en": "Multivariate Conditional and Spectral GC Pipeline",
   "zh": "多变量条件与频域Granger因果流水线",
   "level": "l2"
  },
  "CAP_58e77c93": {
   "en": "Nonlinear Neural Granger Causality Pipeline",
   "zh": "非线性神经Granger因果发现流水线",
   "level": "l2"
  },
  "CAP_cfddd798": {
   "en": "Augmented Dickey-Fuller Stationarity Test",
   "zh": "扩展迪基-富勒平稳性检验",
   "level": "l3"
  },
  "CAP_8a4d749f": {
   "en": "Engle-Granger Cointegration Test",
   "zh": "Engle-Granger协整检验",
   "level": "l3"
  },
  "CAP_d80aa46e": {
   "en": "VAR Lag Order Selection",
   "zh": "VAR滞后阶数选择",
   "level": "l3"
  },
  "CAP_481f0807": {
   "en": "VAR Model Fitting and Residual Extraction",
   "zh": "VAR模型拟合与残差提取",
   "level": "l3"
  },
  "CAP_670884d4": {
   "en": "Bivariate Granger Causality F-Test",
   "zh": "双变量Granger因果F检验",
   "level": "l3"
  },
  "CAP_cfae121b": {
   "en": "Granger Causal Direction Determination",
   "zh": "Granger因果方向判定",
   "level": "l3"
  },
  "CAP_ff0dbf91": {
   "en": "VAR Residual Diagnostics",
   "zh": "VAR残差诊断",
   "level": "l3"
  },
  "CAP_bb065285": {
   "en": "Conditional Granger Causality Wald Test",
   "zh": "条件Granger因果Wald检验",
   "level": "l3"
  },
  "CAP_6c4ac2d0": {
   "en": "Spectral Granger Causality",
   "zh": "频域（谱）Granger因果",
   "level": "l3"
  },
  "CAP_5c875c2b": {
   "en": "VAR Coefficient Spectral Factorization",
   "zh": "VAR系数频域谱分解",
   "level": "l3"
  },
  "CAP_3ca8ee9c": {
   "en": "Surrogate Data Significance Testing",
   "zh": "替代数据显著性检验",
   "level": "l3"
  },
  "CAP_5936774a": {
   "en": "Frequency Band GC Aggregation",
   "zh": "频带GC聚合",
   "level": "l3"
  },
  "CAP_270b00af": {
   "en": "Neural GC Sparse Model Training",
   "zh": "神经GC稀疏模型训练",
   "level": "l3"
  },
  "CAP_fb5a50ba": {
   "en": "Group Lasso Sparse Penalty",
   "zh": "组LASSO稀疏惩罚",
   "level": "l3"
  },
  "CAP_46d4a6a0": {
   "en": "Nonlinear GC Hyperparameter Selection",
   "zh": "非线性GC超参数选择",
   "level": "l3"
  },
  "CAP_573fd6b4": {
   "en": "Causal Graph Extraction from Sparse Weights",
   "zh": "从稀疏权重提取因果图",
   "level": "l3"
  },
  "CAP_a0570555": {
   "en": "Nonlinear GC Stability Validation",
   "zh": "非线性GC稳定性验证",
   "level": "l3"
  },
  "CAP_69e7bf91": {
   "en": "Time Series Alignment and Preprocessing",
   "zh": "时间序列对齐与预处理",
   "level": "l3"
  },
  "CAP_e45977ad": {
   "en": "Time Series Differencing",
   "zh": "时间序列差分处理",
   "level": "l3"
  },
  "CAP_0f978073": {
   "en": "GC Result Visualization",
   "zh": "GC结果可视化",
   "level": "l3"
  },
  "CAP_d747dfd6": {
   "en": "Sliding Window Construction for Neural GC",
   "zh": "神经GC滑动窗口构造",
   "level": "l3"
  },
  "CAP_7a968ec4": {
   "en": "Linear GC Baseline Comparison",
   "zh": "线性GC基线对比",
   "level": "l3"
  },
  "CAP_bbdc7a0c": {
   "en": "Multi-Resolution Representation Granularity Exploration Planning",
   "zh": "多分辨率表征粒度探索规划",
   "level": "l2"
  },
  "CAP_dcd73675": {
   "en": "Local Viewpoint Sampling and TSP Tour Planning",
   "zh": "近场视点采样与TSP巡行规划",
   "level": "l3"
  },
  "CAP_cb55f241": {
   "en": "Global Sparse Landmark Routing",
   "zh": "远场稀疏路标全局路由",
   "level": "l3"
  },
  "CAP_c294741f": {
   "en": "Global-Local Path Stitching at Horizon Boundary",
   "zh": "双层路径视界接合",
   "level": "l3"
  },
  "CAP_e47a4949": {
   "en": "Sliding Planning Horizon Dynamic Update",
   "zh": "规划视界动态平移更新",
   "level": "l3"
  },
  "CAP_04f89f78": {
   "en": "HTN Adaptive Decomposition Depth and Partial Planning",
   "zh": "HTN自适应分解深度与部分规划",
   "level": "l2"
  },
  "CAP_7c0b00a5": {
   "en": "HTN Pause Plan Partial Decomposition",
   "zh": "HTN暂停点部分分解",
   "level": "l3"
  },
  "CAP_b701db5a": {
   "en": "HTN Replanning Trigger Configuration",
   "zh": "HTN重规划触发器配置",
   "level": "l3"
  },
  "CAP_00ed69ad": {
   "en": "HTN Domain Splicing and Slots",
   "zh": "HTN运行时域拼接与槽位机制",
   "level": "l3"
  },
  "CAP_42e2a632": {
   "en": "HTN World State and Effect Management",
   "zh": "HTN世界状态与效果管理",
   "level": "l3"
  },
  "CAP_330a4b5c": {
   "en": "HTN Forward Decomposition with Backtracking",
   "zh": "HTN前向分解与回溯搜索",
   "level": "l3"
  },
  "CAP_660a7b8c": {
   "en": "HTN Execution Monitoring",
   "zh": "HTN执行监控",
   "level": "l3"
  },
  "CAP_c621013e": {
   "en": "Execution Feedback-Driven Online Granularity Adaptation",
   "zh": "执行反馈驱动的在线粒度自适应",
   "level": "l2"
  },
  "CAP_805959a2": {
   "en": "Deviation Severity Classification and Escalation",
   "zh": "偏差严重度分级与升级决策",
   "level": "l3"
  },
  "CAP_0b681852": {
   "en": "Replanning Debouncing and Rate Control",
   "zh": "重规划防抖与频率控制",
   "level": "l3"
  },
  "CAP_af6f01b7": {
   "en": "Global Path Incremental Replanning",
   "zh": "全局路径增量重规划",
   "level": "l3"
  },
  "CAP_03dd7c70": {
   "en": "Recovery Behavior Escalation Execution",
   "zh": "恢复行为逐级执行",
   "level": "l3"
  },
  "CAP_6231f42e": {
   "en": "Replanning Trajectory Smooth Transition",
   "zh": "重规划轨迹平滑过渡",
   "level": "l3"
  },
  "CAP_834c5c1b": {
   "en": "Relational GCN Encoder-Decoder KG Reasoning",
   "zh": "关系感知 GCN 编码器-解码器知识图谱推理",
   "level": "l2"
  },
  "CAP_0b580f70": {
   "en": "Relational Graph Construction",
   "zh": "关系图构建",
   "level": "l3"
  },
  "CAP_ff64f480": {
   "en": "KG Negative Sampling",
   "zh": "知识图谱负采样",
   "level": "l3"
  },
  "CAP_fb21044a": {
   "en": "Relational Message Passing Encoding",
   "zh": "关系感知消息传递编码",
   "level": "l3"
  },
  "CAP_9fba2bb0": {
   "en": "Relation-Entity Composition",
   "zh": "关系-实体组合运算",
   "level": "l3"
  },
  "CAP_e715cf24": {
   "en": "KGE Decoder Scoring",
   "zh": "知识图谱嵌入解码器打分",
   "level": "l3"
  },
  "CAP_6cdd8796": {
   "en": "Entity Classification Head",
   "zh": "实体分类预测头",
   "level": "l3"
  },
  "CAP_abf15787": {
   "en": "Subgraph Inductive Reasoning Pipeline",
   "zh": "子图归纳推理管线",
   "level": "l2"
  },
  "CAP_39b58f3b": {
   "en": "Enclosing Subgraph Extraction",
   "zh": "封闭子图提取",
   "level": "l3"
  },
  "CAP_0710b0e2": {
   "en": "Structural Positional Feature Encoding",
   "zh": "结构位置特征编码",
   "level": "l3"
  },
  "CAP_8c5de389": {
   "en": "Subgraph GNN Relation Attention",
   "zh": "子图 GNN 关系注意力消息传递",
   "level": "l3"
  },
  "CAP_ec5d761d": {
   "en": "Edge-Node Communicative Message Passing",
   "zh": "边-节点协同消息传递",
   "level": "l3"
  },
  "CAP_1947e91c": {
   "en": "Subgraph Representation Pooling",
   "zh": "子图表示池化",
   "level": "l3"
  },
  "CAP_5bed0ede": {
   "en": "Inductive Triple Scoring",
   "zh": "归纳三元组打分",
   "level": "l3"
  },
  "CAP_9cbe0969": {
   "en": "Neural Bellman-Ford Reasoning",
   "zh": "神经 Bellman-Ford 路径推理",
   "level": "l2"
  },
  "CAP_ce8a880d": {
   "en": "Indicator Boundary Initialization",
   "zh": "INDICATOR 边界条件初始化",
   "level": "l3"
  },
  "CAP_89aa73c8": {
   "en": "Neural Relation Message",
   "zh": "神经关系消息函数",
   "level": "l3"
  },
  "CAP_013b549c": {
   "en": "Permutation Invariant Aggregation",
   "zh": "置换不变聚合函数",
   "level": "l3"
  },
  "CAP_f68fda5c": {
   "en": "Bellman-Ford Iteration",
   "zh": "Bellman-Ford 迭代",
   "level": "l3"
  },
  "CAP_a3c12768": {
   "en": "NBFNet Link Scoring",
   "zh": "NBFNet 链接打分",
   "level": "l3"
  },
  "CAP_0b8897c7": {
   "en": "Path-based Interpretability",
   "zh": "路径解释提取",
   "level": "l3"
  },
  "CAP_25564508": {
   "en": "Occupancy Grid Preprocessing for Topology",
   "zh": "拓扑地图预处理去噪",
   "level": "l3"
  },
  "CAP_6a3e7b1c": {
   "en": "Topological Graph Environment Modeling",
   "zh": "拓扑图环境建模",
   "level": "l3"
  },
  "CAP_9e4842ec": {
   "en": "Distance Transform Driven GVD Skeleton Extraction",
   "zh": "距离变换驱动 GVD 骨架提取",
   "level": "l3"
  },
  "CAP_f95b4873": {
   "en": "Waypoint Graph Connectivity Construction",
   "zh": "人工航点拓扑图构建与连通性检查",
   "level": "l3"
  },
  "CAP_0e6d9bf6": {
   "en": "Topological Node Classification",
   "zh": "拓扑节点分类",
   "level": "l3"
  },
  "CAP_58704cb9": {
   "en": "Topological Edge Connectivity Validation",
   "zh": "拓扑边连通性验证",
   "level": "l3"
  },
  "CAP_ee6661aa": {
   "en": "Topological Graph Edge Weighting",
   "zh": "拓扑图边赋权",
   "level": "l3"
  },
  "CAP_372c53b2": {
   "en": "Robot Pose to Graph Projection",
   "zh": "机器人位姿图投影",
   "level": "l3"
  },
  "CAP_b36c68e4": {
   "en": "Topological Path Metric Unfolding",
   "zh": "拓扑路径度量展开",
   "level": "l3"
  },
  "CAP_29f7b16e": {
   "en": "Anytime and Incremental Heuristic Graph Search Pipeline",
   "zh": "任意时间与增量启发式图搜索流水线",
   "level": "l2"
  },
  "CAP_318b83b1": {
   "en": "ANA Star Nonparametric Anytime Search",
   "zh": "ANA* 无参任意时间搜索",
   "level": "l3"
  },
  "CAP_5ac5746f": {
   "en": "R Star Randomized Weighted AStar Search",
   "zh": "R* 随机化加权 A* 搜索",
   "level": "l3"
  },
  "CAP_38c3f528": {
   "en": "Lifelong Planning A Star Incremental Repair",
   "zh": "LPA* 前向增量修复",
   "level": "l3"
  },
  "CAP_3e2c539c": {
   "en": "Lattice Node Collision Checking",
   "zh": "Lattice节点碰撞检测",
   "level": "l3"
  },
  "CAP_9f79f052": {
   "en": "SmacPlannerLattice State Lattice Search",
   "zh": "SmacPlannerLattice状态栅格搜索",
   "level": "l3"
  },
  "CAP_c2e26690": {
   "en": "Lattice Path Post-processing",
   "zh": "Lattice路径后处理",
   "level": "l3"
  },
  "CAP_cf3fb774": {
   "en": "Lattice Path Kinematic Validation",
   "zh": "Lattice路径运动学验证",
   "level": "l3"
  },
  "CAP_d5e6f708": {
   "en": "Visual Servoing Grasp Approach",
   "zh": "视觉伺服抓取接近",
   "level": "l2"
  },
  "CAP_c2916c28": {
   "en": "Force-Tactile Compliant Grasp Execution",
   "zh": "力触觉柔顺抓取执行",
   "level": "l2"
  },
  "CAP_8b958262": {
   "en": "Impedance-Controlled Approach",
   "zh": "阻抗控制接近",
   "level": "l3"
  },
  "CAP_0d12bef4": {
   "en": "Gripper Force Regulation with Slip Feedback",
   "zh": "带滑动反馈的夹爪力调节",
   "level": "l3"
  },
  "CAP_38dffe2e": {
   "en": "Admittance-Controlled Lift with Load Verification",
   "zh": "导纳控制抬起与负载确认",
   "level": "l3"
  },
  "CAP_4a6ededa": {
   "en": "End-to-End Visuomotor Policy Grasp Execution",
   "zh": "端到端视觉运动策略抓取执行",
   "level": "l2"
  },
  "CAP_6b33118f": {
   "en": "AutoGrasp Closure",
   "zh": "AutoGrasp 自动闭合",
   "level": "l3"
  },
  "CAP_e5699c10": {
   "en": "Grasp Quality Model Training",
   "zh": "抓取质量模型训练",
   "level": "l2"
  },
  "CAP_2833a849": {
   "en": "RGBD Grasp Dataset Loading",
   "zh": "RGB-D 抓取数据集加载",
   "level": "l3"
  },
  "CAP_3cd7348a": {
   "en": "CEM Suction Candidate Optimization",
   "zh": "CEM 吸盘/抓取候选迭代优化",
   "level": "l3"
  },
  "CAP_93c5c1be": {
   "en": "Vision-Based Optical Tactile Sensing",
   "zh": "视觉光学触觉传感配置",
   "level": "l2"
  },
  "CAP_2e2cf1dc": {
   "en": "Tactile Signal Preprocessing",
   "zh": "触觉信号预处理",
   "level": "l3"
  },
  "CAP_7b9f30e3": {
   "en": "Tactile Force Distribution Estimation",
   "zh": "触觉力分布估计",
   "level": "l3"
  },
  "CAP_046158c1": {
   "en": "Simulated Grasp Stability Verification",
   "zh": "仿真抓取稳定性验证",
   "level": "l3"
  },
  "CAP_9ea51693": {
   "en": "Contact-Aware Grasp Validation",
   "zh": "接触感知抓取验证",
   "level": "l3"
  },
  "CAP_5d3f038f": {
   "en": "Low-Pass Force Filtering",
   "zh": "低通力滤波",
   "level": "l3"
  },
  "CAP_b548b865": {
   "en": "Wrench Coordinate Transform",
   "zh": "力/力矩坐标变换",
   "level": "l3"
  },
  "CAP_78bf4b24": {
   "en": "Force Scaling Saturation Deadzone",
   "zh": "力缩放饱和死区",
   "level": "l3"
  },
  "CAP_d69ad056": {
   "en": "Master Haptic Force Rendering",
   "zh": "主端触觉力渲染",
   "level": "l3"
  },
  "CAP_95023948": {
   "en": "Bilateral Control Law",
   "zh": "双边控制律",
   "level": "l3"
  },
  "CAP_7361c5db": {
   "en": "Operator Grip Force Modulation",
   "zh": "操作者夹持力调制",
   "level": "l3"
  },
  "CAP_7a790f0f": {
   "en": "Gripper Force Command Dispatch",
   "zh": "夹爪力指令下发",
   "level": "l3"
  },
  "CAP_7b39e85d": {
   "en": "Gripper Force-Controlled Closure",
   "zh": "夹爪力控闭合",
   "level": "l3"
  },
  "CAP_c6b66a43": {
   "en": "Force Safety Limit & Override",
   "zh": "力安全限制与超控",
   "level": "l3"
  },
  "CAP_5659322b": {
   "en": "Hardware Initialization and Device Enumeration",
   "zh": "硬件初始化与设备枚举",
   "level": "l2"
  },
  "CAP_37acf16a": {
   "en": "Configuration Loading",
   "zh": "配置加载",
   "level": "l3"
  },
  "CAP_1c454d05": {
   "en": "Robot IO Initialization",
   "zh": "机器人 IO 初始化",
   "level": "l3"
  },
  "CAP_0b101edb": {
   "en": "Haptic Device Enumeration",
   "zh": "触觉设备枚举",
   "level": "l3"
  },
  "CAP_38ba890b": {
   "en": "Force Scaling and Clamping",
   "zh": "力缩放与限幅",
   "level": "l3"
  },
  "CAP_d72a5ad0": {
   "en": "Virtual Fixture Rendering",
   "zh": "虚拟夹具渲染",
   "level": "l3"
  },
  "CAP_22dc8fde": {
   "en": "Force Rendering to Device",
   "zh": "力输出至设备",
   "level": "l3"
  },
  "CAP_74841edb": {
   "en": "Bilateral Teleoperation Control",
   "zh": "双边遥操作控制",
   "level": "l2"
  },
  "CAP_c37b8162": {
   "en": "Motion Mapping",
   "zh": "运动映射",
   "level": "l3"
  },
  "CAP_7bbf79e9": {
   "en": "Delayed Communication",
   "zh": "时延通信",
   "level": "l3"
  },
  "CAP_9ae170a0": {
   "en": "Slave Execution and Feedback",
   "zh": "从端执行与状态反馈",
   "level": "l2"
  },
  "CAP_0a8cd6bd": {
   "en": "Joint-level PID Control",
   "zh": "关节级 PID 控制",
   "level": "l3"
  },
  "CAP_7080b3b5": {
   "en": "State and Force Acquisition",
   "zh": "状态与力采集",
   "level": "l3"
  },
  "CAP_1e25d85b": {
   "en": "Visuotactile Slip Perception",
   "zh": "视触觉滑移感知",
   "level": "l2"
  },
  "CAP_bde9f526": {
   "en": "Pixel-Wise Depth Image Reconstruction",
   "zh": "逐像素深度图像重建",
   "level": "l3"
  },
  "CAP_92b9a633": {
   "en": "Tactile Feedback Event Generation",
   "zh": "触觉反馈事件生成",
   "level": "l3"
  },
  "CAP_41ac5d37": {
   "en": "Visuotactile Reactive Grasping",
   "zh": "视触觉反应式抓取",
   "level": "l2"
  },
  "CAP_7295e21d": {
   "en": "Reactive Grasping Control",
   "zh": "反应式抓取控制",
   "level": "l3"
  },
  "CAP_7fde90f5": {
   "en": "MPC Control Computation",
   "zh": "MPC控制计算",
   "level": "l3"
  },
  "CAP_e75b5a1b": {
   "en": "Dynamic Time Warping Alignment",
   "zh": "动态时间规整对齐",
   "level": "l3"
  },
  "CAP_b5c4a4a0": {
   "en": "Vision-Based Demonstration Trajectory Generation",
   "zh": "基于视觉的示教轨迹生成",
   "level": "l3"
  },
  "CAP_91c9d3a5": {
   "en": "Tactile Correction",
   "zh": "触觉修正",
   "level": "l3"
  },
  "CAP_d2696615": {
   "en": "Force-Informed Demonstration Acquisition",
   "zh": "力觉示教数据采集",
   "level": "l2"
  },
  "CAP_2016bb30": {
   "en": "Multi-modal Demonstration Acquisition",
   "zh": "多模态示教数据采集",
   "level": "l3"
  },
  "CAP_0482ca04": {
   "en": "Force-Tactile Feature Extraction",
   "zh": "力觉/触觉特征提取",
   "level": "l3"
  },
  "CAP_a21e3fb6": {
   "en": "Force-Informed Policy Learning",
   "zh": "力觉模仿学习策略训练",
   "level": "l2"
  },
  "CAP_36534fa3": {
   "en": "Force-Informed Policy Training",
   "zh": "力觉策略训练",
   "level": "l3"
  },
  "CAP_016ab3c7": {
   "en": "Force-Controlled Deployment",
   "zh": "力控策略部署与执行",
   "level": "l2"
  },
  "CAP_df834020": {
   "en": "Force-Controlled Execution",
   "zh": "力控执行",
   "level": "l3"
  },
  "CAP_4402490b": {
   "en": "Full-Dimensional Grasp Refinement",
   "zh": "全维抓取精修",
   "level": "l2"
  },
  "CAP_04d4c901": {
   "en": "Fast Collision and Force-Closure Check",
   "zh": "快速碰撞与力封闭检测",
   "level": "l3"
  },
  "CAP_820053aa": {
   "en": "Object Mesh Loading and Normal Computation",
   "zh": "物体网格加载与法线计算",
   "level": "l3"
  },
  "CAP_131716ab": {
   "en": "Geometric 6-DoF Grasp Pose Generation",
   "zh": "几何六自由度抓取姿态生成",
   "level": "l2"
  },
  "CAP_f27ace0c": {
   "en": "Grasp Quality Representation Inference",
   "zh": "抓取质量表征推理",
   "level": "l3"
  },
  "CAP_d0636ae7": {
   "en": "TSDF Voxel Scene Reconstruction",
   "zh": "TSDF体素场景重建",
   "level": "l3"
  },
  "CAP_85d98e2f": {
   "en": "Contact Point 6-DoF Grasp Regression",
   "zh": "接触点6-DoF抓取回归",
   "level": "l3"
  },
  "CAP_b836b9f4": {
   "en": "Variational Grasp Proposal and Refinement",
   "zh": "变分抓取提议与精修",
   "level": "l3"
  },
  "CAP_dab87b65": {
   "en": "Differentiable SDF for Dexterous Grasping",
   "zh": "灵巧抓取可微SDF",
   "level": "l3"
  },
  "CAP_7a89b2a6": {
   "en": "Differentiable Force-Closure Energy Function",
   "zh": "可微力闭合能量函数",
   "level": "l3"
  },
  "CAP_1a54b7e2": {
   "en": "Gradient-based Dexterous Grasp Optimization",
   "zh": "梯度灵巧抓取优化",
   "level": "l3"
  },
  "CAP_19f4eb10": {
   "en": "Learning-Based Task-Conditioned Grasp Pipeline",
   "zh": "基于学习的任务条件抓取流程",
   "level": "l2"
  },
  "CAP_ec824e96": {
   "en": "Task-Conditioned Grasp Representation Learning",
   "zh": "任务条件抓取表征学习",
   "level": "l3"
  },
  "CAP_1a5cc3b2": {
   "en": "Post-Grasp Task Motion Feasibility Grasp Pipeline",
   "zh": "抓取后任务运动可行性管线",
   "level": "l2"
  },
  "CAP_1dd4ea30": {
   "en": "Object Semantic-Geometric Feature Extraction",
   "zh": "物体语义几何特征提取",
   "level": "l3"
  },
  "CAP_8b62ff4e": {
   "en": "Task-Conditioned Grasp Candidate Ranking",
   "zh": "任务条件抓取候选排序",
   "level": "l3"
  },
  "CAP_2af5144d": {
   "en": "Task-Aware Motion Feasibility Verification",
   "zh": "任务感知运动可行性验证",
   "level": "l3"
  },
  "CAP_94ba2b21": {
   "en": "Task Object Grasp Compatibility Representation",
   "zh": "任务物体抓取兼容表征",
   "level": "l3"
  },
  "CAP_bc6900b8": {
   "en": "LLM Task Concept Semantic Generation",
   "zh": "大模型任务语义生成",
   "level": "l3"
  },
  "CAP_4119858b": {
   "en": "Part-Guided Constrained Grasp Diffusion",
   "zh": "部件引导约束抓取扩散",
   "level": "l3"
  },
  "CAP_84d01685": {
   "en": "Part-Level Task Grounding via VLM",
   "zh": "基于视觉语言模型的部分级任务定位",
   "level": "l3"
  },
  "CAP_22318ee6": {
   "en": "Task-Conditioned Grasp Pose Optimization",
   "zh": "任务条件抓取位姿优化",
   "level": "l2"
  },
  "CAP_0bcc8017": {
   "en": "Analytical Form Closure Determination",
   "zh": "解析式形封闭判定",
   "level": "l3"
  },
  "CAP_03ed9387": {
   "en": "GQ-CNN Suction Grasp Robustness Prediction",
   "zh": "GQ-CNN吸盘抓取鲁棒性预测",
   "level": "l3"
  },
  "CAP_3b9eecdc": {
   "en": "Synthetic Grasp Dataset Generation",
   "zh": "合成抓取数据集生成",
   "level": "l3"
  },
  "CAP_99d1bee9": {
   "en": "Task-Compatible Grasp Quality Evaluation",
   "zh": "任务兼容抓取质量评估",
   "level": "l2"
  },
  "CAP_5e59eae9": {
   "en": "Task Wrench Space Construction",
   "zh": "任务力旋量空间构建",
   "level": "l3"
  },
  "CAP_0a299fbd": {
   "en": "Task Compatibility Scaling Factor",
   "zh": "任务兼容性缩放因子计算",
   "level": "l3"
  },
  "CAP_febe06ec": {
   "en": "Deformable Object Simulation Setup",
   "zh": "变形物体仿真环境配置",
   "level": "l2"
  },
  "CAP_37f88985": {
   "en": "Load Deformable Mesh and Poses",
   "zh": "加载变形网格与抓取位姿",
   "level": "l3"
  },
  "CAP_0a4ed5fc": {
   "en": "Simulation Backend Configuration",
   "zh": "仿真后端配置",
   "level": "l3"
  },
  "CAP_f3431fd2": {
   "en": "Grasp Execution and Simulation",
   "zh": "抓取执行与物理仿真",
   "level": "l2"
  },
  "CAP_1e646b94": {
   "en": "Grasp Simulation Stepping",
   "zh": "抓取仿真步进",
   "level": "l3"
  },
  "CAP_24a02501": {
   "en": "Grasp Quality Metric Computation",
   "zh": "抓取质量指标计算",
   "level": "l2"
  },
  "CAP_ff4f88c1": {
   "en": "Force Closure Computation",
   "zh": "力封闭计算",
   "level": "l3"
  },
  "CAP_ffa19426": {
   "en": "Task Compatibility Scoring",
   "zh": "任务兼容性评分",
   "level": "l3"
  },
  "CAP_9147c5c4": {
   "en": "Result Output and Visualization",
   "zh": "结果输出与可视化",
   "level": "l2"
  },
  "CAP_2d72f986": {
   "en": "HDF5 Result Writing",
   "zh": "HDF5结果写入",
   "level": "l3"
  },
  "CAP_c0bc0933": {
   "en": "Visualization Plotting",
   "zh": "可视化绘图",
   "level": "l3"
  },
  "CAP_06a16cbe": {
   "en": "Contact Geometric Modeling",
   "zh": "接触几何建模",
   "level": "l2"
  },
  "CAP_9747979a": {
   "en": "Contact Point and Normal Extraction",
   "zh": "接触点与法线提取",
   "level": "l3"
  },
  "CAP_7f717962": {
   "en": "Analytic Grasp Quality Evaluation",
   "zh": "解析抓取质量评估",
   "level": "l2"
  },
  "CAP_ba3af025": {
   "en": "Gripper Position and Current Closure Check",
   "zh": "夹爪位置/电流到位检测",
   "level": "l3"
  },
  "CAP_6ccd3480": {
   "en": "Multi-Sensor Post-Grasp Detection",
   "zh": "多传感器 post-grasp 检测",
   "level": "l2"
  },
  "CAP_6957f522": {
   "en": "Wrist Camera In-Hand Verification",
   "zh": "手腕相机 in-hand 视觉确认",
   "level": "l3"
  },
  "CAP_a0d70661": {
   "en": "Visual CNN Feature Extraction",
   "zh": "视觉图像 CNN 特征提取",
   "level": "l3"
  },
  "CAP_a91fd60a": {
   "en": "Learned Grasp Success Classification",
   "zh": "学习型抓取成功分类",
   "level": "l3"
  },
  "CAP_2127e72c": {
   "en": "Scene State Sim Instantiation",
   "zh": "场景状态仿真实例化",
   "level": "l3"
  },
  "CAP_b9bb4b3e": {
   "en": "Perturbation and Dynamics Execution",
   "zh": "扰动施加与动力学推进",
   "level": "l2"
  },
  "CAP_9f7317b0": {
   "en": "Multi-View Geometric Corner Detection",
   "zh": "多视角几何角点检测",
   "level": "l3"
  },
  "CAP_76cac0d9": {
   "en": "Hanging-Based Cloth Flattening",
   "zh": "垂直悬挂展平",
   "level": "l3"
  },
  "CAP_2cc65e6a": {
   "en": "Slide/Drag Cloth Translation on Table",
   "zh": "沿桌面滑动拖动布料平移",
   "level": "l3"
  },
  "CAP_a10ac2e9": {
   "en": "Scripted Fold Execution",
   "zh": "脚本化对折执行",
   "level": "l3"
  },
  "CAP_28303ed4": {
   "en": "Fold Result Visual Verification",
   "zh": "折叠结果视觉验证",
   "level": "l3"
  },
  "CAP_e5b4f7e3": {
   "en": "BMM-Net Bimanual Primitive Inference",
   "zh": "BMM-Net 双臂动作原语推理",
   "level": "l2"
  },
  "CAP_221658a5": {
   "en": "Overhead RGB-D Capture for Garment Folding",
   "zh": "俯拍 RGB-D 图像采集用于衣物折叠",
   "level": "l3"
  },
  "CAP_a33c5092": {
   "en": "Fold-Edge Bimanual Folding Execution",
   "zh": "双臂对折执行",
   "level": "l3"
  },
  "CAP_da1c5d05": {
   "en": "VLM Cloth Semantic Keypoint Detection",
   "zh": "VLM 布料语义关键点检测",
   "level": "l2"
  },
  "CAP_4b378696": {
   "en": "Folding Action Geometric Feasibility Verification",
   "zh": "折叠动作几何可行性验证",
   "level": "l3"
  },
  "CAP_aa6b7db2": {
   "en": "Keypoint-Conditioned Slide/Drag",
   "zh": "关键点条件沿桌面滑动",
   "level": "l3"
  },
  "CAP_68407560": {
   "en": "Keypoint-Conditioned Fold",
   "zh": "关键点条件对折",
   "level": "l3"
  },
  "CAP_920bd29d": {
   "en": "VLM Post-Action Verification",
   "zh": "视觉语言模型执行结果验证",
   "level": "l3"
  },
  "CAP_e40ef245": {
   "en": "Koopman Operator Cloth Dynamics Learning",
   "zh": "Koopman 算子布料动力学学习",
   "level": "l2"
  },
  "CAP_7ca416af": {
   "en": "Cloth Low-Dimensional State Representation",
   "zh": "布料低维状态表征提取",
   "level": "l3"
  },
  "CAP_516fcd4e": {
   "en": "Linear MPC Cloth Folding Trajectory Optimization",
   "zh": "线性模型预测控制布料折叠轨迹优化",
   "level": "l3"
  },
  "CAP_380181aa": {
   "en": "Dynamic Grasp Execution",
   "zh": "动态抓取执行",
   "level": "l3"
  },
  "CAP_71c8eb2d": {
   "en": "Dynamic Slide Control",
   "zh": "动态滑动控制",
   "level": "l3"
  },
  "CAP_cb1ff237": {
   "en": "Dynamic Fold Control",
   "zh": "动态翻折控制",
   "level": "l3"
  },
  "CAP_46a2b02f": {
   "en": "MPC Real-Time State Feedback and Replanning",
   "zh": "MPC 实时状态反馈与重规划",
   "level": "l3"
  },
  "CAP_d7a95daa": {
   "en": "Dynamic Fold Terminal Verification",
   "zh": "动态折叠终态验证",
   "level": "l3"
  },
  "CAP_9e58828d": {
   "en": "BMM-Net Primitive Classification and Pose Regression",
   "zh": "BMM-Net 原语分类与双臂位姿回归",
   "level": "l3"
  },
  "CAP_325e3f02": {
   "en": "ClothCornerTriangulation",
   "zh": "布料角点三角化",
   "level": "l3"
  },
  "CAP_28b08d44": {
   "en": "ClothCorner3DDetection",
   "zh": "布料角点3D检测",
   "level": "l3"
  },
  "CAP_ae73cdea": {
   "en": "Collision-Aware Grasp Candidate Filtering",
   "zh": "碰撞感知抓取候选过滤",
   "level": "l3"
  },
  "CAP_83712493": {
   "en": "GelSight/DIGIT Visuotactile Recognition",
   "zh": "GelSight/DIGIT视触觉识别",
   "level": "l3"
  },
  "CAP_ef86782c": {
   "en": "Deformable Mesh Tetrahedralization",
   "zh": "变形体网格四面体化",
   "level": "l3"
  },
  "CAP_34cb942b": {
   "en": "Grasp Pose Loading and Alignment",
   "zh": "抓取位姿加载与对齐",
   "level": "l3"
  },
  "CAP_09076902": {
   "en": "Contact Loss and Slip Detection",
   "zh": "接触丢失与滑脱检测",
   "level": "l3"
  },
  "CAP_8e10df2f": {
   "en": "Simulation Stability Confidence",
   "zh": "仿真稳定性置信度",
   "level": "l3"
  },
  "CAP_9011a291": {
   "en": "Analytic Grasp Stability Assessment",
   "zh": "解析抓取稳定性评估",
   "level": "l2"
  },
  "CAP_e7ad4788": {
   "en": "Tactile Contact Localization",
   "zh": "触觉接触点定位",
   "level": "l3"
  },
  "CAP_aab2b133": {
   "en": "Normal Force Estimation",
   "zh": "法向力估计",
   "level": "l3"
  },
  "CAP_dac99640": {
   "en": "Epsilon Quality Computation",
   "zh": "Ferrari-Canny ε质量计算",
   "level": "l3"
  },
  "CAP_95a70e4a": {
   "en": "Disturbance Resistance Margin",
   "zh": "抗扰动裕度频域估计",
   "level": "l3"
  },
  "CAP_86f4d799": {
   "en": "Stability Decision",
   "zh": "稳定性决策与闭环触发",
   "level": "l3"
  },
  "CAP_cc020202": {
   "en": "Tactile Image Preprocessing",
   "zh": "触觉图像预处理",
   "level": "l3"
  },
  "CAP_17ebf19f": {
   "en": "Temporal Tactile Modeling",
   "zh": "时序触觉建模",
   "level": "l3"
  },
  "CAP_578439bd": {
   "en": "Slip Detection & Classification",
   "zh": "滑移检测与分类",
   "level": "l3"
  },
  "CAP_8a17de4a": {
   "en": "Grasp Stability Classification",
   "zh": "抓取稳定性分类",
   "level": "l3"
  },
  "CAP_ed8ba48f": {
   "en": "Stability-Guided Regrasp Decision",
   "zh": "稳定性引导重抓取决策",
   "level": "l3"
  },
  "CAP_06641d25": {
   "en": "Unlabeled Tactile Play Collection",
   "zh": "无标签触觉玩耍采集",
   "level": "l3"
  },
  "CAP_a72518d4": {
   "en": "Tactile SSL Pretraining",
   "zh": "触觉自监督预训练",
   "level": "l3"
  },
  "CAP_6cfd2cf8": {
   "en": "UniTouch Touch Encoder Loading",
   "zh": "UniTouch触觉编码器加载",
   "level": "l3"
  },
  "CAP_eb2a743e": {
   "en": "Stability Downstream Adaptation",
   "zh": "稳定性下游适配",
   "level": "l3"
  },
  "CAP_9d854d08": {
   "en": "Zero/Few-Shot Stability Decision",
   "zh": "零样本/少样本稳定性决策",
   "level": "l3"
  },
  "CAP_f56243bb": {
   "en": "Model-based Feedforward Gravity Compensation",
   "zh": "动力学模型前馈重力补偿",
   "level": "l2"
  },
  "CAP_cde30e14": {
   "en": "Joint State Real-time Acquisition",
   "zh": "关节状态实时采集",
   "level": "l3"
  },
  "CAP_60c0f1b9": {
   "en": "Forward Kinematics and Jacobian Computation",
   "zh": "正运动学与雅可比计算",
   "level": "l3"
  },
  "CAP_d9b4da36": {
   "en": "Feedforward Torque Synthesis and Dispatch",
   "zh": "前馈力矩合成与下发",
   "level": "l3"
  },
  "CAP_ab7e2b5b": {
   "en": "Gravity Parameter Identification & Online Compensation",
   "zh": "重力参数辨识与在线补偿",
   "level": "l2"
  },
  "CAP_bd6ba76b": {
   "en": "Multi-pose Calibration Data Acquisition",
   "zh": "多姿态标定数据采集",
   "level": "l3"
  },
  "CAP_b1a7cafd": {
   "en": "Least-squares Gravity Parameter Fitting",
   "zh": "最小二乘重力参数拟合",
   "level": "l3"
  },
  "CAP_52d13083": {
   "en": "Friction Model Identification and Compensation",
   "zh": "摩擦模型辨识与补偿",
   "level": "l3"
  },
  "CAP_6740d284": {
   "en": "Compensation Accuracy Verification",
   "zh": "补偿效果验证",
   "level": "l3"
  },
  "CAP_3b42d80e": {
   "en": "Mechanical Passive Gravity Balancing",
   "zh": "机械式被动重力平衡",
   "level": "l2"
  },
  "CAP_5d38ad94": {
   "en": "Balancing Mechanism Parameter Optimization",
   "zh": "平衡机构参数优化",
   "level": "l3"
  },
  "CAP_76b796f1": {
   "en": "Balancing Effectiveness Verification",
   "zh": "平衡效果验证",
   "level": "l3"
  },
  "CAP_34832a7b": {
   "en": "Hardware Active Compliant Surface Following Pipeline",
   "zh": "硬件主动柔顺表面跟随流水线",
   "level": "l2"
  },
  "CAP_a917539e": {
   "en": "Macro-Micro Active Compliant Constant Force Grinding/Polishing",
   "zh": "宏-微主动柔顺恒力磨抛",
   "level": "l2"
  },
  "CAP_b53d09f0": {
   "en": "Grinding/Polishing Trajectory Planning",
   "zh": "磨抛轨迹规划",
   "level": "l3"
  },
  "CAP_376089e5": {
   "en": "Process Parameter Adaptive Tuning",
   "zh": "工艺参数自适应整定",
   "level": "l3"
  },
  "CAP_2a800742": {
   "en": "Online Surface Quality Assessment",
   "zh": "在线表面质量评估",
   "level": "l3"
  },
  "CAP_b6eed000": {
   "en": "Macro Motion Position Tracking",
   "zh": "位置轨迹跟踪执行",
   "level": "l3"
  },
  "CAP_6465904d": {
   "en": "Grinding/Polishing Parameter Setting and Execution",
   "zh": "磨抛工艺参数设定与执行",
   "level": "l3"
  },
  "CAP_66c231c4": {
   "en": "Safe Retract and Reset",
   "zh": "加工安全退刀与复位",
   "level": "l3"
  },
  "CAP_4ced51e5": {
   "en": "Vision-Guided Adaptive Grinding/Polishing Pipeline",
   "zh": "视觉引导自适应磨抛流水线",
   "level": "l2"
  },
  "CAP_5c23a7df": {
   "en": "3D Point Cloud Acquisition and Preprocessing",
   "zh": "3D点云获取与预处理",
   "level": "l3"
  },
  "CAP_d8c26d96": {
   "en": "Point Cloud Registration and Allowance Calculation",
   "zh": "点云配准与余量计算",
   "level": "l3"
  },
  "CAP_da53009f": {
   "en": "Point Cloud-Driven Adaptive Trajectory Generation",
   "zh": "点云驱动自适应轨迹生成",
   "level": "l3"
  },
  "CAP_be2c086f": {
   "en": "Curvature-Adaptive Force Control Tuning",
   "zh": "曲率自适应力控调节",
   "level": "l3"
  },
  "CAP_3d46dfa0": {
   "en": "Online Visual/Force-Based Quality Inspection",
   "zh": "在线视觉/力觉质量检测",
   "level": "l3"
  },
  "CAP_76441188": {
   "en": "Local Repair Trajectory Generation and Execution",
   "zh": "局部补磨轨迹生成与执行",
   "level": "l3"
  },
  "CAP_a38bca89": {
   "en": "Grasp Force Sensing and Target Generation",
   "zh": "抓取力感知与目标力生成",
   "level": "l2"
  },
  "CAP_4dc3629e": {
   "en": "Force-Controlled Handover Release",
   "zh": "力控交接释放",
   "level": "l3"
  },
  "CAP_8e8fa21e": {
   "en": "Handover Completion Confirmation",
   "zh": "交接完成确认",
   "level": "l3"
  },
  "CAP_e769741e": {
   "en": "LSTM Grip Force Prediction Model Training",
   "zh": "LSTM 握力预测模型训练",
   "level": "l3"
  },
  "CAP_f6f8302f": {
   "en": "Real-time Grip Force Prediction Inference",
   "zh": "实时握力预测推理",
   "level": "l3"
  },
  "CAP_e137c3ad": {
   "en": "Adaptive Grip Release Decision",
   "zh": "自适应夹爪释放决策",
   "level": "l3"
  },
  "CAP_fa35a46d": {
   "en": "Handover Quality Assessment and Feedback",
   "zh": "交接质量评估与闭环反馈",
   "level": "l3"
  },
  "CAP_49a98aab": {
   "en": "Adaptive Impedance Modulation for Release",
   "zh": "自适应阻抗调节与释放",
   "level": "l3"
  },
  "CAP_88bb1fd0": {
   "en": "Gripper Release Execution",
   "zh": "夹爪释放执行",
   "level": "l3"
  },
  "CAP_7d035d93": {
   "en": "Stable Placement Computation",
   "zh": "稳定放置位姿计算",
   "level": "l3"
  },
  "CAP_4167c0d0": {
   "en": "Regrasp Graph Construction",
   "zh": "重抓图构建",
   "level": "l3"
  },
  "CAP_4505dd9b": {
   "en": "Scene Perception and Grasp Generation",
   "zh": "场景感知与抓取生成",
   "level": "l2"
  },
  "CAP_b3a54cb7": {
   "en": "Grasp Candidate Generation and Evaluation",
   "zh": "抓取候选生成与评估",
   "level": "l3"
  },
  "CAP_b68b8446": {
   "en": "Stable Pose Generation",
   "zh": "稳定位姿生成",
   "level": "l3"
  },
  "CAP_92381b0a": {
   "en": "Placement Graph Construction",
   "zh": "放置位姿图构建",
   "level": "l3"
  },
  "CAP_50f18ff5": {
   "en": "Regrasp Graph Construction and Search",
   "zh": "重抓图构建与搜索",
   "level": "l2"
  },
  "CAP_601d4580": {
   "en": "Regrasp Graph Search",
   "zh": "重抓图搜索",
   "level": "l3"
  },
  "CAP_cc02a8b3": {
   "en": "Regrasp Execution and Verification",
   "zh": "重抓取执行与验证",
   "level": "l2"
  },
  "CAP_1e1e656f": {
   "en": "Pose Verification",
   "zh": "位姿验证",
   "level": "l3"
  },
  "CAP_29524d8c": {
   "en": "Goal Placement after Extrinsic Reorientation",
   "zh": "重定向后目标放置",
   "level": "l2"
  },
  "CAP_6df8c81b": {
   "en": "Grasp Pose Optimization",
   "zh": "双臂抓取姿态优化",
   "level": "l3"
  },
  "CAP_3ab518f8": {
   "en": "Orthogonal Grasp Triplet Uncertainty Reduction",
   "zh": "正交抓取三重不确定性消减",
   "level": "l3"
  },
  "CAP_d2178f95": {
   "en": "Handover Execution",
   "zh": "交接执行",
   "level": "l3"
  },
  "CAP_b8e5337a": {
   "en": "Box Token Coordinate Discretization",
   "zh": "坐标Token离散化",
   "level": "l3"
  },
  "CAP_48979d66": {
   "en": "Grounded Image-Text Data Construction",
   "zh": "接地图文对数据构建",
   "level": "l3"
  },
  "CAP_85a67f97": {
   "en": "LLaVA-v1.5 Visual Grounding Extension",
   "zh": "LLaVA-v1.5视觉接地扩展",
   "level": "l3"
  },
  "CAP_a20e73c0": {
   "en": "Referential Dialogue",
   "zh": "参考对话",
   "level": "l3"
  },
  "CAP_108e93d8": {
   "en": "Visual Referring Dialogue Evaluation",
   "zh": "视觉指称对话评测",
   "level": "l3"
  },
  "CAP_84ac3922": {
   "en": "Embodied Instruction Following and Long-Horizon Task Decomposition",
   "zh": "具身指令理解与长程任务分解",
   "level": "l3"
  },
  "CAP_21e053e3": {
   "en": "Dialogue-Enabled Clarification for Embodied Instruction Following",
   "zh": "对话式澄清提问指令跟随",
   "level": "l3"
  },
  "CAP_ea287c38": {
   "en": "Human-Robot Collaborative Task Dialogue (Commander-Follower)",
   "zh": "人机协作任务对话（指挥-执行）",
   "level": "l3"
  },
  "CAP_9475a980": {
   "en": "AI-Assisted Interactor",
   "zh": "AI辅助交互器",
   "level": "l3"
  },
  "CAP_db7fb76a": {
   "en": "Embodied Task Dialogue Evaluation",
   "zh": "具身任务对话评测",
   "level": "l3"
  },
  "CAP_d0e6da04": {
   "en": "Temporal Dense Scene Captioning",
   "zh": "时序稠密场景描述",
   "level": "l3"
  },
  "CAP_5e6794d1": {
   "en": "3D Spatial Relation Reasoning",
   "zh": "三维空间关系推理",
   "level": "l3"
  },
  "CAP_74a90151": {
   "en": "LLM-Guided Task and Reward Generation",
   "zh": "LLM引导任务与奖励生成",
   "level": "l3"
  },
  "CAP_eb382842": {
   "en": "Decoupled VLM-VLA Execution",
   "zh": "解耦式VLM-VLA执行",
   "level": "l3"
  },
  "CAP_a0b8dc35": {
   "en": "VLA Inference Loop",
   "zh": "VLA推理循环",
   "level": "l2"
  },
  "CAP_c4d5b2cc": {
   "en": "Natural Language Instruction Reception",
   "zh": "自然语言指令接收",
   "level": "l3"
  },
  "CAP_ded395c6": {
   "en": "Skill Scoring",
   "zh": "技能评分",
   "level": "l3"
  },
  "CAP_2d8b9506": {
   "en": "Joint Score Combination (say×can)",
   "zh": "联合得分组合（say×can）",
   "level": "l3"
  },
  "CAP_5822984f": {
   "en": "Iterative Skill Re-query",
   "zh": "迭代重查询",
   "level": "l3"
  },
  "CAP_fb905051": {
   "en": "Skill Library Management",
   "zh": "技能库管理",
   "level": "l3"
  },
  "CAP_21bc3a1b": {
   "en": "Scene State Grounding",
   "zh": "场景状态接地",
   "level": "l3"
  },
  "CAP_a68766d3": {
   "en": "Closed-Loop Feedback Injection",
   "zh": "闭环反馈注入",
   "level": "l3"
  },
  "CAP_cab4d84d": {
   "en": "Uncertainty-Aware Help Seeking",
   "zh": "不确定性感知求助",
   "level": "l3"
  },
  "CAP_41a12ca3": {
   "en": "Natural Language Response Generation",
   "zh": "自然语言响应生成",
   "level": "l3"
  },
  "CAP_ec114d6e": {
   "en": "Robot Skill Execution",
   "zh": "机器人技能执行",
   "level": "l3"
  },
  "CAP_6fa6986c": {
   "en": "Multimodal Condition Input",
   "zh": "多模态条件输入",
   "level": "l3"
  },
  "CAP_f7c11c9c": {
   "en": "Image-to-3D Asset Lifting",
   "zh": "图像到三维资产提升",
   "level": "l3"
  },
  "CAP_6d25e8e6": {
   "en": "Physics Parameter Estimation",
   "zh": "物理参数估计",
   "level": "l3"
  },
  "CAP_4f5dd29c": {
   "en": "Cross-Embodiment Pretraining Execution",
   "zh": "跨具身协同预训练执行",
   "level": "l3"
  },
  "CAP_d9fb1abc": {
   "en": "VLA Closed-Loop Rollout",
   "zh": "VLA 闭环推理执行",
   "level": "l3"
  },
  "CAP_3c59ede8": {
   "en": "Hierarchical Subtask Decomposition",
   "zh": "长程指令分层分解",
   "level": "l3"
  },
  "CAP_bd7dafa7": {
   "en": "Skill Primitive Closed-loop Execution",
   "zh": "技能原语闭环执行",
   "level": "l3"
  },
  "CAP_567a59bc": {
   "en": "Skill Library Enumeration",
   "zh": "技能库枚举",
   "level": "l3"
  },
  "CAP_d43e2340": {
   "en": "Action Safety Bound Checking",
   "zh": "动作安全边界校验",
   "level": "l3"
  },
  "CAP_2a83817f": {
   "en": "Language Token Encoding",
   "zh": "语言 token 编码",
   "level": "l3"
  },
  "CAP_32b5924a": {
   "en": "Cross-Embodiment Joint Training",
   "zh": "跨具身联合训练",
   "level": "l3"
  },
  "CAP_7b4e1a63": {
   "en": "Interactive Track Correction",
   "zh": "在线轨迹修正",
   "level": "l3"
  },
  "CAP_e8145718": {
   "en": "Whole-Body VLA Policy Deployment",
   "zh": "全身 VLA 策略部署",
   "level": "l3"
  },
  "CAP_193c1e84": {
   "en": "Scene Subgraph Grounding Retrieval",
   "zh": "场景子图接地检索",
   "level": "l3"
  },
  "CAP_6299b492": {
   "en": "Open-Vocabulary Scene Graph Grounding Completion",
   "zh": "开放词表场景图接地补全",
   "level": "l3"
  },
  "CAP_4930d79b": {
   "en": "Closed-Loop Execution Feedback Judgment",
   "zh": "闭环执行反馈判定",
   "level": "l3"
  },
  "CAP_38e684c5": {
   "en": "VLA Domain Adaptation Decision",
   "zh": "VLA 域适配决策",
   "level": "l3"
  },
  "CAP_f28f0ea7": {
   "en": "VLA Closed-Loop Execution",
   "zh": "VLA 闭环执行",
   "level": "l3"
  },
  "CAP_51dfebce": {
   "en": "Scene Graph Executability Validation",
   "zh": "场景图可执行性校验",
   "level": "l3"
  },
  "CAP_533fd25a": {
   "en": "Cross Modal Query Selection",
   "zh": "跨模态 query 选择",
   "level": "l3"
  },
  "CAP_efffbb65": {
   "en": "Language-Conditioned Box Grounding",
   "zh": "语言条件框接地",
   "level": "l3"
  },
  "CAP_de5b8241": {
   "en": "Region-Word Alignment Detection",
   "zh": "区域词对齐检测",
   "level": "l3"
  },
  "CAP_e1eae6cb": {
   "en": "Cross Modal Transformer Early Fusion Detection",
   "zh": "跨模态Transformer早期融合检测",
   "level": "l2"
  },
  "CAP_d2b4c80c": {
   "en": "Two-Stage Proposal Ranking",
   "zh": "两阶段候选框排序",
   "level": "l3"
  },
  "CAP_1451d078": {
   "en": "Modular Attention Network",
   "zh": "模块化注意力网络",
   "level": "l3"
  },
  "CAP_7a3a3913": {
   "en": "Class-Agnostic Region Proposal Generation",
   "zh": "类无关区域提议生成",
   "level": "l3"
  },
  "CAP_d5a3a243": {
   "en": "Visual-Linguistic Transformer Dual-Tower Encoding",
   "zh": "视觉-语言 Transformer 双塔编码",
   "level": "l3"
  },
  "CAP_a9e964f4": {
   "en": "Referential Expression Single Object Box Regression",
   "zh": "指代表达单目标框回归",
   "level": "l3"
  },
  "CAP_b1f9cb19": {
   "en": "Language Instruction Parsing and Task Decomposition",
   "zh": "语言指令解析与任务分解",
   "level": "l2"
  },
  "CAP_e4d93b63": {
   "en": "Physical Grounding Evaluation",
   "zh": "物理接地评估",
   "level": "l2"
  },
  "CAP_315de063": {
   "en": "Joint Decision and Execution",
   "zh": "联合决策与执行",
   "level": "l2"
  },
  "CAP_3a40fd7b": {
   "en": "Iterative Grounding Loop",
   "zh": "迭代接地循环",
   "level": "l2"
  },
  "CAP_308f5eef": {
   "en": "Language Query and Visual Grounding",
   "zh": "语言查询与视觉接地",
   "level": "l2"
  },
  "CAP_e5725ee5": {
   "en": "3D Geometry Extraction and Reconstruction",
   "zh": "3D 几何提取与重建",
   "level": "l2"
  },
  "CAP_b79ae8c7": {
   "en": "Grasp Detection and Pose Estimation",
   "zh": "抓取检测与姿态估计",
   "level": "l2"
  },
  "CAP_ae2af8fc": {
   "en": "Grasp Execution and Feedback",
   "zh": "抓取执行与反馈",
   "level": "l2"
  },
  "CAP_004a3ae5": {
   "en": "Language Query Grounding on Scene Graph",
   "zh": "场景图上的语言查询接地",
   "level": "l2"
  },
  "CAP_0dee8837": {
   "en": "Language-Guided Navigation",
   "zh": "语言引导导航",
   "level": "l2"
  },
  "CAP_f16809a6": {
   "en": "Language Query Parsing",
   "zh": "自然语言查询解析",
   "level": "l3"
  },
  "CAP_a0e31405": {
   "en": "Language-Guided Planning",
   "zh": "语言引导导航规划",
   "level": "l3"
  },
  "CAP_6c3ce05a": {
   "en": "Marsupial Deployment Decision",
   "zh": "有袋部署决策",
   "level": "l2"
  },
  "CAP_0d04472e": {
   "en": "Task-Driven Point Cloud Compression",
   "zh": "任务驱动点云压缩",
   "level": "l2"
  },
  "CAP_60da6841": {
   "en": "Keyframe-based Map Sharing",
   "zh": "关键帧地图共享",
   "level": "l2"
  },
  "CAP_879088d3": {
   "en": "Energy-Aware Regrouping Planning",
   "zh": "能量感知重聚规划",
   "level": "l2"
  },
  "CAP_178b9bd0": {
   "en": "Distributed Coverage Planning",
   "zh": "分布式覆盖规划",
   "level": "l2"
  },
  "CAP_cb8f89a4": {
   "en": "Weighted Voronoi Partitioner",
   "zh": "加权Voronoi分区器",
   "level": "l3"
  },
  "CAP_4f6ed05a": {
   "en": "Distributed Load Balancer",
   "zh": "分布式负载均衡器",
   "level": "l3"
  },
  "CAP_b258b211": {
   "en": "Partition Quality Assessor",
   "zh": "分区质量评估器",
   "level": "l3"
  },
  "CAP_b58a913f": {
   "en": "Partition Adaptive Adjuster",
   "zh": "分区自适应调整器",
   "level": "l3"
  },
  "CAP_8b2e77dd": {
   "en": "Multi-Resolution Hybrid Map Fusion",
   "zh": "多分辨率混合地图融合",
   "level": "l2"
  },
  "CAP_f346477d": {
   "en": "Energy-Aware Rendezvous Planner",
   "zh": "能量感知会合规划器",
   "level": "l3"
  },
  "CAP_fa1dcd86": {
   "en": "Normalized Velocity Space Mapping",
   "zh": "归一化异构速度空间映射",
   "level": "l3"
  },
  "CAP_c0127348": {
   "en": "Game-Theoretic Formation Controller",
   "zh": "博弈论异构编队控制器",
   "level": "l3"
  },
  "CAP_074018c9": {
   "en": "Formation Scaling and Reconfiguration",
   "zh": "编队动态缩放与重构",
   "level": "l3"
  },
  "CAP_33c16fc6": {
   "en": "Distributed Optimal Formation Control",
   "zh": "分布式最优编队控制",
   "level": "l3"
  },
  "CAP_3aff8fbd": {
   "en": "CommunicationTopologyConstruction",
   "zh": "通信拓扑构建",
   "level": "l3"
  },
  "CAP_787288a3": {
   "en": "FormationConfigGeneration",
   "zh": "编队配置生成",
   "level": "l3"
  },
  "CAP_0bdd545a": {
   "en": "UAVDeployment",
   "zh": "无人机部署",
   "level": "l3"
  },
  "CAP_e4fac93f": {
   "en": "MarsupialGroundAerialExploration",
   "zh": "有袋类空地协同探索",
   "level": "l3"
  },
  "CAP_5720e7c8": {
   "en": "KeyframeMapSharing",
   "zh": "关键帧地图共享",
   "level": "l3"
  },
  "CAP_8be7f569": {
   "en": "InitialStateAlignment",
   "zh": "初始状态对齐",
   "level": "l3"
  },
  "CAP_9baf2c1c": {
   "en": "DistributedConsensusSolving",
   "zh": "分布式共识求解",
   "level": "l3"
  },
  "CAP_ff621394": {
   "en": "HeterogeneousStateFusion",
   "zh": "异构状态融合",
   "level": "l3"
  },
  "CAP_e3a8d01d": {
   "en": "PlatformSpecificMotionControl",
   "zh": "平台特定运动控制",
   "level": "l3"
  },
  "CAP_1e4fc4b9": {
   "en": "FormationErrorMonitoring",
   "zh": "编队误差监控",
   "level": "l3"
  },
  "CAP_586d0599": {
   "en": "ObstacleDetection",
   "zh": "障碍物检测",
   "level": "l3"
  },
  "CAP_49f68c2a": {
   "en": "ObstacleDetected",
   "zh": "障碍物检测",
   "level": "l3"
  },
  "CAP_59ef7ad8": {
   "en": "NoObstacle",
   "zh": "无障碍路径规划",
   "level": "l3"
  },
  "CAP_0ddcb82b": {
   "en": "FormationScalingReconfiguration",
   "zh": "编队缩放与重构",
   "level": "l3"
  },
  "CAP_e0a66ad8": {
   "en": "Geometric Ground Segmentation",
   "zh": "几何地面分割",
   "level": "l2"
  },
  "CAP_49d2cbef": {
   "en": "Point Cloud Reception and NaN Removal",
   "zh": "点云接收与无效点剔除",
   "level": "l3"
  },
  "CAP_e57e10f7": {
   "en": "Cloth Simulation Ground Filtering",
   "zh": "布料模拟地面滤波",
   "level": "l3"
  },
  "CAP_5b9fddc4": {
   "en": "RANSAC Global Plane Ground Fitting",
   "zh": "RANSAC 全局平面地面拟合",
   "level": "l3"
  },
  "CAP_295476c6": {
   "en": "Ground Mask Post-processing",
   "zh": "地面掩码后处理",
   "level": "l3"
  },
  "CAP_5bb96d0d": {
   "en": "Segmented Cloud Publication",
   "zh": "分割点云发布",
   "level": "l3"
  },
  "CAP_b86551e4": {
   "en": "Non-Ground Point Clustering Noise Filter",
   "zh": "非地面点聚类噪声滤除",
   "level": "l3"
  },
  "CAP_1cad5747": {
   "en": "Point Cloud Projection to Range Image",
   "zh": "点云投影至深度图",
   "level": "l3"
  },
  "CAP_8cb473cf": {
   "en": "Ground Removal by Adjacent Beam Angle",
   "zh": "相邻线束夹角地面移除",
   "level": "l3"
  },
  "CAP_284d47a1": {
   "en": "Non-ground Point Clustering and Filtering",
   "zh": "非地面点聚类与滤波",
   "level": "l2"
  },
  "CAP_abc92290": {
   "en": "BFS Clustering and Small Cluster Removal",
   "zh": "BFS 聚类与小簇剔除",
   "level": "l3"
  },
  "CAP_58599d12": {
   "en": "Segmentation Result Publishing",
   "zh": "分割结果发布",
   "level": "l2"
  },
  "CAP_2d9ba4ea": {
   "en": "Publish Ground and Segmented Clouds",
   "zh": "发布地面与分割点云",
   "level": "l3"
  },
  "CAP_90bb8ca8": {
   "en": "Range Image Ground Labeling",
   "zh": "深度图地面点标记",
   "level": "l3"
  },
  "CAP_1c82d57a": {
   "en": "RANSAC Global Plane Fitting",
   "zh": "RANSAC全局平面拟合",
   "level": "l3"
  },
  "CAP_b209eed5": {
   "en": "Ground Segmentation Post-processing",
   "zh": "地面分割后处理",
   "level": "l2"
  },
  "CAP_156b3686": {
   "en": "Non-Ground Point Clustering",
   "zh": "非地面点聚类",
   "level": "l3"
  },
  "CAP_48384d8f": {
   "en": "Range-View Projection Segmentation Pipeline",
   "zh": "深度图投影分割流水线",
   "level": "l2"
  },
  "CAP_8b30920a": {
   "en": "Range Image Label KNN Backprojection",
   "zh": "深度图标签 kNN 反投影",
   "level": "l3"
  },
  "CAP_491b1505": {
   "en": "Ground Class Mask Extraction from Semantic Labels",
   "zh": "语义标签地面类掩码提取",
   "level": "l3"
  },
  "CAP_0794892d": {
   "en": "Ground-Aware Elevation Mapping",
   "zh": "地面感知高程建图",
   "level": "l2"
  },
  "CAP_4f8ef815": {
   "en": "Ground-Segmented Terrain Input Gating",
   "zh": "地面分割地形输入门控",
   "level": "l3"
  },
  "CAP_97edfe78": {
   "en": "Two-Stage BGK Terrain Inference (Elevation)",
   "zh": "两阶段 BGK 地形推断（高程）",
   "level": "l3"
  },
  "CAP_eb260f59": {
   "en": "Terrain Feature and Traversability Mapping",
   "zh": "地形特征与可通行性建图",
   "level": "l2"
  },
  "CAP_ec18bfa3": {
   "en": "Two-Stage BGK Terrain Inference (Traversability)",
   "zh": "两阶段 BGK 地形推断（可通行性）",
   "level": "l3"
  },
  "CAP_c18cd8ad": {
   "en": "Costmap Bridge Output",
   "zh": "代价地图桥接输出",
   "level": "l3"
  },
  "CAP_82d0c9d0": {
   "en": "Convex Decomposition and Terrain Output",
   "zh": "凸平面分解与地形输出",
   "level": "l2"
  },
  "CAP_d88abfd2": {
   "en": "Convex Plane Decomposition",
   "zh": "凸平面分解",
   "level": "l3"
  },
  "CAP_e98d4f33": {
   "en": "Two-Stage BGK Terrain Inference",
   "zh": "两阶段BGK地形推断",
   "level": "l2"
  },
  "CAP_66b0eb10": {
   "en": "BGKI Elevation Inference",
   "zh": "BGKI高程推断",
   "level": "l3"
  },
  "CAP_d79a538f": {
   "en": "Traversability Feature Computation",
   "zh": "可通行性特征计算",
   "level": "l3"
  },
  "CAP_3bb5c0f2": {
   "en": "BGKI Traversability Inference",
   "zh": "BGKI可通行性推断",
   "level": "l3"
  },
  "CAP_b45dbfce": {
   "en": "Local Elevation Map Update",
   "zh": "局部高程图更新",
   "level": "l2"
  },
  "CAP_20232ac4": {
   "en": "Global Map Optimization",
   "zh": "全局地图优化",
   "level": "l2"
  },
  "CAP_25428cbe": {
   "en": "Submap Matching",
   "zh": "子图匹配",
   "level": "l3"
  },
  "CAP_e34992a2": {
   "en": "Social Formation Perception",
   "zh": "社交编队感知",
   "level": "l2"
  },
  "CAP_c4602621": {
   "en": "Social Formation Joining Planning",
   "zh": "社交编队加入规划",
   "level": "l2"
  },
  "CAP_f6c2398f": {
   "en": "Social Formation Joining Execution",
   "zh": "社交编队加入执行",
   "level": "l2"
  },
  "CAP_23a70c8d": {
   "en": "Social Group Detection",
   "zh": "社交群组检测",
   "level": "l3"
  },
  "CAP_5b8a071b": {
   "en": "F-formation Classification",
   "zh": "F-formation分类",
   "level": "l3"
  },
  "CAP_aa8f64ec": {
   "en": "O-space Estimation",
   "zh": "O-space估计",
   "level": "l3"
  },
  "CAP_35f58ace": {
   "en": "Socially Compliant Joining Position Planning",
   "zh": "社交合规加入位置规划",
   "level": "l3"
  },
  "CAP_80f9245e": {
   "en": "Socially Compliant Formation Motion",
   "zh": "社交合规编队移动",
   "level": "l3"
  },
  "CAP_4af5fe43": {
   "en": "Socially Compliant Joining Path Planning",
   "zh": "社交合规加入路径规划",
   "level": "l3"
  },
  "CAP_08cdc3b0": {
   "en": "Formation Initialization and Communication Mapping",
   "zh": "编队初始化与通信建图",
   "level": "l2"
  },
  "CAP_43fa6478": {
   "en": "Distributed Formation Keeping",
   "zh": "分布式编队保持",
   "level": "l2"
  },
  "CAP_82d7da11": {
   "en": "Formation Obstacle Avoidance and Maneuvering",
   "zh": "编队避障与机动",
   "level": "l2"
  },
  "CAP_449c3ba3": {
   "en": "Formation Maneuvering and Task Execution",
   "zh": "编队机动与任务执行",
   "level": "l2"
  },
  "CAP_cc30ab59": {
   "en": "Leader Velocity Injection for Formation Navigation",
   "zh": "领航者速度注入编队导航",
   "level": "l3"
  },
  "CAP_a20bec11": {
   "en": "Environment Modeling for Social Formation",
   "zh": "社交编队环境建模",
   "level": "l2"
  },
  "CAP_0501a4c7": {
   "en": "Centralized Training for Social Formation",
   "zh": "社交编队集中式训练",
   "level": "l2"
  },
  "CAP_03e9b73f": {
   "en": "Decentralized Execution for Social Formation",
   "zh": "社交编队分布式执行",
   "level": "l2"
  },
  "CAP_26e7d912": {
   "en": "Simulation and Sim2Real Transfer",
   "zh": "社交编队仿真与Sim2Real迁移",
   "level": "l2"
  },
  "CAP_d48e9dc8": {
   "en": "Spatial-Temporal Interaction Modeling",
   "zh": "空间-时间交互建模",
   "level": "l3"
  },
  "CAP_4c6c3ecf": {
   "en": "Social Collision Avoidance Reward Shaping",
   "zh": "社交避碰奖励塑形",
   "level": "l3"
  },
  "CAP_3331f38c": {
   "en": "Group Perception and State Encoding",
   "zh": "群体感知与状态编码",
   "level": "l2"
  },
  "CAP_4957dc34": {
   "en": "Group State Observation Encoding",
   "zh": "群体状态观测编码",
   "level": "l3"
  },
  "CAP_6b7c8d9e": {
   "en": "Group-Level Feature Aggregation",
   "zh": "群体特征聚合",
   "level": "l3"
  },
  "CAP_78d96262": {
   "en": "Group-Aware Decision Making",
   "zh": "群体感知决策",
   "level": "l2"
  },
  "CAP_7233bd2b": {
   "en": "Group Policy Optimization and Deployment",
   "zh": "群体策略优化与部署",
   "level": "l2"
  },
  "CAP_7ca32afc": {
   "en": "DRL Policy Training",
   "zh": "DRL 策略训练",
   "level": "l3"
  },
  "CAP_0893d78e": {
   "en": "Group-Aware Navigation Execution",
   "zh": "群体感知导航执行",
   "level": "l3"
  },
  "CAP_51eb83b3": {
   "en": "Explicit Group Structure Perception",
   "zh": "显式群体结构感知",
   "level": "l2"
  },
  "CAP_1abda0af": {
   "en": "Group Boundary Modeling",
   "zh": "群体边界建模",
   "level": "l3"
  },
  "CAP_6feb4a97": {
   "en": "Group-Constrained Path Planning",
   "zh": "群体约束路径规划",
   "level": "l3"
  },
  "CAP_2a65a26d": {
   "en": "Group-Aware Motion Control",
   "zh": "群体感知运动控制",
   "level": "l3"
  },
  "CAP_b66c7ba0": {
   "en": "SFM Scenario Configuration",
   "zh": "SFM 场景配置",
   "level": "l3"
  },
  "CAP_347eef8a": {
   "en": "Group Force Field Computation",
   "zh": "群体力场计算",
   "level": "l2"
  },
  "CAP_68c44691": {
   "en": "Extended Social Force Group Modeling",
   "zh": "扩展社会力群组建模",
   "level": "l3"
  },
  "CAP_a2689e2e": {
   "en": "Group External Repulsion Force",
   "zh": "群体外部排斥力",
   "level": "l3"
  },
  "CAP_3dcc1307": {
   "en": "Group Walking Simulation",
   "zh": "群体行走仿真",
   "level": "l3"
  },
  "CAP_359a25e4": {
   "en": "Hardware Interface Definition and Configuration",
   "zh": "硬件接口定义与配置",
   "level": "l2"
  },
  "CAP_dd979df6": {
   "en": "Hardware Interface Export and Registration",
   "zh": "接口导出与插件注册",
   "level": "l2"
  },
  "CAP_22114f9b": {
   "en": "State Interface Export",
   "zh": "状态接口导出",
   "level": "l3"
  },
  "CAP_43df13f5": {
   "en": "Command Interface Export",
   "zh": "命令接口导出",
   "level": "l3"
  },
  "CAP_659f30be": {
   "en": "ROS2 Hardware Interface Plugin Lifecycle",
   "zh": "硬件接口插件化注册与加载",
   "level": "l3"
  },
  "CAP_5c05d999": {
   "en": "Real-time Hardware IO Loop",
   "zh": "实时硬件读写循环",
   "level": "l2"
  },
  "CAP_e7469acb": {
   "en": "Hardware Adapter Controller Integration",
   "zh": "硬件适配器控制器集成",
   "level": "l2"
  },
  "CAP_88e1a738": {
   "en": "Hardware Interface Contract Validation",
   "zh": "硬件接口契约验证",
   "level": "l3"
  },
  "CAP_edd80e22": {
   "en": "HAL Component Definition and Loading",
   "zh": "HAL组件定义与加载",
   "level": "l2"
  },
  "CAP_fa0d5c79": {
   "en": "HAL Component Definition",
   "zh": "HAL组件定义",
   "level": "l3"
  },
  "CAP_03511a54": {
   "en": "HAL Signal Network Configuration",
   "zh": "HAL信号网络配置",
   "level": "l2"
  },
  "CAP_aebbd5c2": {
   "en": "HAL Real-time Control Loop",
   "zh": "HAL实时控制回路",
   "level": "l2"
  },
  "CAP_a6260f25": {
   "en": "PID Closed-loop Control (LinuxCNC HAL)",
   "zh": "HAL PID闭环控制",
   "level": "l3"
  },
  "CAP_aa4c14e5": {
   "en": "LinuxCNC Integration and Debugging",
   "zh": "LinuxCNC系统集成与调试",
   "level": "l2"
  },
  "CAP_56a6580b": {
   "en": "LinuxCNC System Configuration",
   "zh": "LinuxCNC系统配置",
   "level": "l3"
  },
  "CAP_9b9f53f1": {
   "en": "libfranka Connection and Configuration",
   "zh": "libfranka 连接与配置",
   "level": "l3"
  },
  "CAP_9b01fc13": {
   "en": "Robot Collision and Contact Detection",
   "zh": "机器人碰撞与接触检测",
   "level": "l3"
  },
  "CAP_c036c806": {
   "en": "Sim2Real Hardware-Software Isomorphism via Shared HAL",
   "zh": "基于共享 HAL 的仿真-实物同构",
   "level": "l3"
  },
  "CAP_25091a33": {
   "en": "Fault Injection & Boundary Scenario Test",
   "zh": "错误注入测试",
   "level": "l3"
  },
  "CAP_a1b6c4d3": {
   "en": "Launch Testing with Simulation",
   "zh": "ROS2 Launch 集成测试环境",
   "level": "l2"
  },
  "CAP_8e4d2a1f": {
   "en": "Gazebo Sim Headless Launch",
   "zh": "无头仿真启动",
   "level": "l3"
  },
  "CAP_067d6010": {
   "en": "Handover Configuration Generation",
   "zh": "交接配置生成",
   "level": "l2"
  },
  "CAP_066751ef": {
   "en": "Comfort-Driven Handover Optimization",
   "zh": "舒适度驱动交接优化",
   "level": "l3"
  },
  "CAP_81aa07cf": {
   "en": "R2H Force-Controlled Delivery",
   "zh": "R2H力控递送",
   "level": "l3"
  },
  "CAP_38db5d62": {
   "en": "Constrained Grasp Diffusion Sampling",
   "zh": "约束抓取扩散采样",
   "level": "l3"
  },
  "CAP_f5d9d1fb": {
   "en": "Learning-Based Cooperative Grasp Pose Generation",
   "zh": "基于学习的协作抓取位姿生成",
   "level": "l3"
  },
  "CAP_ce998c52": {
   "en": "Fine-Grained Pose Prediction",
   "zh": "细粒度位姿预测",
   "level": "l2"
  },
  "CAP_15a3fda1": {
   "en": "Speech Intent Recognition",
   "zh": "语音意图识别",
   "level": "l3"
  },
  "CAP_e7cb8083": {
   "en": "Contact-Aware Grasp Selection",
   "zh": "接触感知抓取选择",
   "level": "l3"
  },
  "CAP_e0b19ba2": {
   "en": "Delivery Pose Optimization",
   "zh": "递送位姿优化",
   "level": "l3"
  },
  "CAP_a629c63c": {
   "en": "Handle-First Orientation Computation",
   "zh": "手柄优先朝向计算",
   "level": "l3"
  },
  "CAP_6cd3c956": {
   "en": "Smooth Trajectory Generation",
   "zh": "平滑轨迹生成",
   "level": "l3"
  },
  "CAP_aa034d2e": {
   "en": "Handover Configuration Matching",
   "zh": "交接配置位姿匹配",
   "level": "l3"
  },
  "CAP_5ccbc9c4": {
   "en": "Multi-Metric Handover Quality Evaluation",
   "zh": "多指标交接质量评估",
   "level": "l3"
  },
  "CAP_8ae9e6eb": {
   "en": "Handover Trajectory Execution",
   "zh": "Handover 轨迹执行",
   "level": "l3"
  },
  "CAP_9c51abfd": {
   "en": "Cartesian Impedance Activation",
   "zh": "笛卡尔阻抗控制使能",
   "level": "l3"
  },
  "CAP_d2e90d55": {
   "en": "Handover Contact Sensing",
   "zh": "交接接触感知",
   "level": "l2"
  },
  "CAP_96b06171": {
   "en": "Capacitive Proximity Grasp Detection",
   "zh": "电容式接近抓取检测",
   "level": "l3"
  },
  "CAP_2302537a": {
   "en": "Grasp State Classification and Release Decision",
   "zh": "抓取状态分类与释放决策",
   "level": "l2"
  },
  "CAP_ea5a9127": {
   "en": "Interactive Handover Release Detection",
   "zh": "交互式交接释放检测",
   "level": "l3"
  },
  "CAP_f3953121": {
   "en": "Active Probing Contact State Classification",
   "zh": "主动探测接触状态分类",
   "level": "l3"
  },
  "CAP_9c766653": {
   "en": "Release Decision Fusion",
   "zh": "释放决策综合",
   "level": "l3"
  },
  "CAP_f8a74d15": {
   "en": "Handover Release Execution",
   "zh": "交接释放执行",
   "level": "l2"
  },
  "CAP_4af908c3": {
   "en": "Release Completion Verification",
   "zh": "释放完成确认",
   "level": "l3"
  },
  "CAP_2a3bac3c": {
   "en": "RGB-D Hand Image Acquisition",
   "zh": "RGB-D 人手图像采集",
   "level": "l3"
  },
  "CAP_639f5d00": {
   "en": "Handover Intent Prediction and Timing",
   "zh": "交接意图预测与时机评估",
   "level": "l2"
  },
  "CAP_11555afc": {
   "en": "Physiological Signal Intent Detection",
   "zh": "生理信号意图检测",
   "level": "l3"
  },
  "CAP_d40d05cc": {
   "en": "Release Timing Prediction",
   "zh": "释放时机预测",
   "level": "l3"
  },
  "CAP_a07d392d": {
   "en": "Handover Motion Planning and Adaptation",
   "zh": "交接运动规划与适配",
   "level": "l2"
  },
  "CAP_a2ba635a": {
   "en": "Dynamic Handover Trajectory Generation",
   "zh": "动态交接轨迹生成",
   "level": "l3"
  },
  "CAP_b28744d2": {
   "en": "Adaptive Delivery Pose Adjustment",
   "zh": "自适应递送位姿调整",
   "level": "l3"
  },
  "CAP_520a85ab": {
   "en": "Speech-Text Intent Input",
   "zh": "语音/文本意图输入",
   "level": "l3"
  },
  "CAP_21a0234e": {
   "en": "CTC-Based Text Recognition Pipeline",
   "zh": "CTC 对齐自由文本识别流水线",
   "level": "l2"
  },
  "CAP_ad29eaf7": {
   "en": "Text Line Detection and Normalization",
   "zh": "文本行检测与归一化",
   "level": "l3"
  },
  "CAP_f5fa3d13": {
   "en": "Convolutional Feature Extraction",
   "zh": "卷积特征提取",
   "level": "l3"
  },
  "CAP_4bcba9b7": {
   "en": "CTC Sequence Decoding",
   "zh": "CTC序列解码",
   "level": "l3"
  },
  "CAP_76252dfe": {
   "en": "Character Set Codec",
   "zh": "字符表编解码",
   "level": "l3"
  },
  "CAP_f5564f69": {
   "en": "Transformer-Based Text Recognition Pipeline",
   "zh": "Transformer 文本识别流水线",
   "level": "l2"
  },
  "CAP_e55301e8": {
   "en": "Text Vision Transformer Encoding",
   "zh": "文本视觉 Transformer 编码",
   "level": "l3"
  },
  "CAP_352ed3b5": {
   "en": "Transformer Decoder Autoregressive Text Generation",
   "zh": "Transformer解码器自回归文本生成",
   "level": "l3"
  },
  "CAP_bf9c9318": {
   "en": "Multi-Mode Transformer Character Decoding",
   "zh": "多模式 Transformer 字符解码",
   "level": "l3"
  },
  "CAP_313bac83": {
   "en": "Permutation Language Modeling Training",
   "zh": "排列语言建模训练",
   "level": "l3"
  },
  "CAP_b0575540": {
   "en": "Output Text Post-processing",
   "zh": "输出文本后处理",
   "level": "l3"
  },
  "CAP_6578f1c7": {
   "en": "Document Image Encoding",
   "zh": "文档图像编码",
   "level": "l3"
  },
  "CAP_e5803a3f": {
   "en": "Handedness Classification (Left/Right)",
   "zh": "左右手分类",
   "level": "l3"
  },
  "CAP_872b068e": {
   "en": "Multi-Hand Region Tracking",
   "zh": "多手时域跟踪",
   "level": "l3"
  },
  "CAP_93c615be": {
   "en": "Transformer-based Hand Mesh Regression Head",
   "zh": "基于 Transformer 的手网格回归头",
   "level": "l3"
  },
  "CAP_ca189885": {
   "en": "SMPL-X Copy-Paste Body Integration",
   "zh": "SMPL-X 复制粘贴式全身集成",
   "level": "l3"
  },
  "CAP_f410249b": {
   "en": "Hand-Object Contact Consistency Constraint",
   "zh": "手-物接触一致性约束",
   "level": "l3"
  },
  "CAP_048fd9d6": {
   "en": "Hand-Object Region Detection & Segmentation",
   "zh": "手-物区域检测与分割",
   "level": "l3"
  },
  "CAP_7dff8758": {
   "en": "Sparse Convolution Point Cloud Pose Perception",
   "zh": "稀疏卷积点云物体位姿感知",
   "level": "l3"
  },
  "CAP_c022cc1a": {
   "en": "DexCap Portable Mocap and DexIL Imitation",
   "zh": "DexCap 便携动捕与 DexIL 模仿",
   "level": "l3"
  },
  "CAP_b4f45f6e": {
   "en": "Contact Detection & Friction Cone Placement",
   "zh": "接触检测与摩擦锥放置",
   "level": "l3"
  },
  "CAP_3e1b269e": {
   "en": "Simulation Environment Construction",
   "zh": "仿真环境构建",
   "level": "l3"
  },
  "CAP_8f86e58e": {
   "en": "Single-Hand Mesh Recovery Evaluation",
   "zh": "单手网格恢复评测",
   "level": "l3"
  },
  "CAP_85abc2b1": {
   "en": "Video Temporal Hand Mesh Consistency",
   "zh": "视频时序手部网格一致性",
   "level": "l3"
  },
  "CAP_f2381a70": {
   "en": "Egocentric World-Space Hand Trajectory Recovery",
   "zh": "第一人称世界系手轨迹恢复",
   "level": "l3"
  },
  "CAP_e0785d6b": {
   "en": "Generative 4D Hand Recovery",
   "zh": "生成式4D手部恢复",
   "level": "l3"
  },
  "CAP_f13e4b46": {
   "en": "Video Hand Mesh Recovery Evaluation",
   "zh": "视频手部网格恢复评测",
   "level": "l3"
  },
  "CAP_a868ced3": {
   "en": "Hand-Object Contact-Aware Optimization",
   "zh": "手物接触感知优化",
   "level": "l3"
  },
  "CAP_88190921": {
   "en": "Single-View Object Mesh Reconstruction",
   "zh": "单视图物体网格重建",
   "level": "l3"
  },
  "CAP_ef8d7911": {
   "en": "Hand-Object Joint Optimization",
   "zh": "手物联合优化",
   "level": "l3"
  },
  "CAP_68f18fa7": {
   "en": "Hand-Object Interaction Evaluation",
   "zh": "手物交互评测",
   "level": "l3"
  },
  "CAP_6e19b8ca": {
   "en": "Environment Geometry Perception and Point Cloud Reconstruction",
   "zh": "环境几何感知与点云重建",
   "level": "l3"
  },
  "CAP_54a723a5": {
   "en": "Virtual Fixture Force Field Generation",
   "zh": "虚拟夹具力场生成",
   "level": "l3"
  },
  "CAP_411dc6d2": {
   "en": "Haptic Force Feedback Rendering",
   "zh": "触觉力反馈渲染",
   "level": "l3"
  },
  "CAP_647ed04d": {
   "en": "Shared Control Policy Blending",
   "zh": "共享控制策略融合",
   "level": "l3"
  },
  "CAP_48fc3daa": {
   "en": "Robot Impedance/Admittance Execution",
   "zh": "机器人阻抗/导纳执行",
   "level": "l3"
  },
  "CAP_dfd240b0": {
   "en": "Implicit Surface Reconstruction and Dynamic Modeling",
   "zh": "隐式曲面重建与动态建模",
   "level": "l2"
  },
  "CAP_fbded9ef": {
   "en": "Implicit Surface Reconstruction",
   "zh": "隐式曲面重建",
   "level": "l3"
  },
  "CAP_8d7428b5": {
   "en": "Adaptive RLS Dynamic Modeling",
   "zh": "自适应RLS动态建模",
   "level": "l3"
  },
  "CAP_6db5ea6e": {
   "en": "Virtual Fixture Force Generation and Rendering",
   "zh": "虚拟夹具力生成与渲染",
   "level": "l2"
  },
  "CAP_6987d909": {
   "en": "Potential Field Force Computation",
   "zh": "势场力计算",
   "level": "l3"
  },
  "CAP_c2a9fb50": {
   "en": "CBF Safety Filter Online Solving",
   "zh": "CBF 安全滤波器在线求解",
   "level": "l3"
  },
  "CAP_ebb5cc68": {
   "en": "CBF Intervention Haptic Force Feedback Generation",
   "zh": "CBF 干预触觉力反馈生成",
   "level": "l3"
  },
  "CAP_123a6ca1": {
   "en": "Human-Robot Agreement Haptic Enhancement",
   "zh": "人机一致性触觉增强",
   "level": "l3"
  },
  "CAP_ccbc4610": {
   "en": "Safety-Critical Execution and Monitoring",
   "zh": "安全临界执行与监测",
   "level": "l2"
  },
  "CAP_235f213c": {
   "en": "CBF Constraint Formulation",
   "zh": "CBF约束构建",
   "level": "l3"
  },
  "CAP_656b459b": {
   "en": "CBF-QP Safe Control Filter",
   "zh": "CBF-QP安全控制滤波",
   "level": "l3"
  },
  "CAP_36093c98": {
   "en": "State Feedback Acquisition",
   "zh": "状态反馈获取",
   "level": "l3"
  },
  "CAP_46bd6068": {
   "en": "Operator Multi-modal State Perception",
   "zh": "操作者多模态状态感知",
   "level": "l3"
  },
  "CAP_8d34434f": {
   "en": "Adaptive Control Authority Arbitration",
   "zh": "自适应控制权限仲裁",
   "level": "l3"
  },
  "CAP_f1d618e0": {
   "en": "Adaptive Haptic Guidance Force Generation",
   "zh": "自适应触觉引导力生成",
   "level": "l3"
  },
  "CAP_bce1e081": {
   "en": "Adaptive Policy Learning and Update",
   "zh": "自适应策略学习与更新",
   "level": "l3"
  },
  "CAP_4bd8fcb3": {
   "en": "Master Damping-Injection Force Synthesis",
   "zh": "主端阻尼注入控制力合成",
   "level": "l3"
  },
  "CAP_36def993": {
   "en": "Slave Proportional-Damping Controller",
   "zh": "从端比例–阻尼无源控制器",
   "level": "l3"
  },
  "CAP_215b9343": {
   "en": "VR Immersive Teleoperation",
   "zh": "VR沉浸式触觉遥操作",
   "level": "l2"
  },
  "CAP_7fa57a33": {
   "en": "Multimodal Feedback Encoding and Transmission",
   "zh": "多模态反馈编码与传输",
   "level": "l3"
  },
  "CAP_374875d1": {
   "en": "Teleoperation Interface",
   "zh": "遥操作接口",
   "level": "l3"
  },
  "CAP_4812b824": {
   "en": "Teleop Motion Fidelity",
   "zh": "遥操作运动保真度",
   "level": "l3"
  },
  "CAP_7bd4e16a": {
   "en": "Isomorphic Bimanual Leader-Follower Teleoperation",
   "zh": "同构双臂主从遥操作",
   "level": "l2"
  },
  "CAP_9ebe6b24": {
   "en": "Whole-Body Mobile Base Teleoperation",
   "zh": "全身移动底座遥操作",
   "level": "l3"
  },
  "CAP_6037c6e3": {
   "en": "Dexterous Manipulation Execution",
   "zh": "学习增强灵巧操作策略训练",
   "level": "l2"
  },
  "CAP_d3574b71": {
   "en": "Learning-Based Wiping via Imitation",
   "zh": "遥操作模仿学习",
   "level": "l3"
  },
  "CAP_5db6744b": {
   "en": "PTP/gPTP Distributed Node Clock Sync",
   "zh": "PTP/gPTP 分布式节点硬件时钟同步",
   "level": "l2"
  },
  "CAP_fd72e1aa": {
   "en": "GPTP Offset Servo",
   "zh": "PTP/gPTP 报文交换与偏移计算",
   "level": "l3"
  },
  "CAP_18a2b97b": {
   "en": "GNSS PPS PHC Discipline",
   "zh": "GNSS PPS 信号驯服 PHC",
   "level": "l3"
  },
  "CAP_f63496e2": {
   "en": "WR PTP Coarse Delay Synchronization",
   "zh": "White Rabbit 粗延时校准同步",
   "level": "l3"
  },
  "CAP_be932773": {
   "en": "AUTOSAR StbM Time Distribution",
   "zh": "AUTOSAR StbM 全局时基分发",
   "level": "l3"
  },
  "CAP_3dc7eee8": {
   "en": "Sensor Trigger and PPS Timestamp Alignment",
   "zh": "传感器触发与 PPS 时间戳对齐",
   "level": "l2"
  },
  "CAP_2ab04954": {
   "en": "libiio Userspace Access",
   "zh": "libiio 用户态访问",
   "level": "l3"
  },
  "CAP_7a08917a": {
   "en": "Sensor Local To PHC Time Mapping",
   "zh": "传感器本地时间到 PHC 时基映射",
   "level": "l3"
  },
  "CAP_8277f68d": {
   "en": "SoC Clock Tree and Counter Timestamp Engine",
   "zh": "SoC 时钟树与计数器时间戳引擎",
   "level": "l2"
  },
  "CAP_e1c7b275": {
   "en": "ARM Generic Timer System Counter",
   "zh": "ARM 通用定时器系统计数器",
   "level": "l3"
  },
  "CAP_718f7329": {
   "en": "PCIe PTM Clock Alignment",
   "zh": "PCIe PTM 时钟对齐",
   "level": "l3"
  },
  "CAP_f19e04d3": {
   "en": "Linux PHC Cross Timestamp",
   "zh": "Linux 跨时间戳 PHC（ptp_kvm）",
   "level": "l3"
  },
  "CAP_495a770d": {
   "en": "SoC Clock Tree PLL Distribution",
   "zh": "SoC 时钟树与 PLL 分发",
   "level": "l3"
  },
  "CAP_a9390a69": {
   "en": "Power Hardware in the Loop Interface",
   "zh": "功率硬件在环接口",
   "level": "l3"
  },
  "CAP_7e1f8eaf": {
   "en": "Power Electronics Controller HIL Safety Verification",
   "zh": "电力电子控制器 HIL 安全验证",
   "level": "l3"
  },
  "CAP_13320c57": {
   "en": "Industrial RT Simulator Host-Target Interface",
   "zh": "工业实时仿真器 Host-Target 接口架构",
   "level": "l2"
  },
  "CAP_590ce7e4": {
   "en": "Camera Simulation Scene Video Generation",
   "zh": "相机仿真场景视频生成",
   "level": "l3"
  },
  "CAP_21d228de": {
   "en": "HIL I/O Channel Mapping and Signal Conditioning",
   "zh": "HIL I/O 通道映射与信号调理",
   "level": "l3"
  },
  "CAP_bd2e581f": {
   "en": "Real-Time Code Download & Target Loading",
   "zh": "实时代码下载与目标机加载",
   "level": "l3"
  },
  "CAP_60e6edd8": {
   "en": "Field Oriented Control Algorithm",
   "zh": "磁场定向控制算法",
   "level": "l3"
  },
  "CAP_2483abd1": {
   "en": "PHIL Interface Algorithm Stability Compensation",
   "zh": "功率硬件在环接口算法稳定性补偿",
   "level": "l3"
  },
  "CAP_a79ca4c6": {
   "en": "ADS Perception-Planning-Control Full-Stack Closed-Loop HIL Validation",
   "zh": "自动驾驶感知-规划-控制全栈闭环 HIL 验证",
   "level": "l3"
  },
  "CAP_ae45a400": {
   "en": "Legged Robot Joint Torque / Impedance Closed-Loop Control HIL",
   "zh": "足式机器人关节力矩/阻抗闭环控制 HIL 验证",
   "level": "l3"
  },
  "CAP_b6e5a98f": {
   "en": "Contact-Rich Dynamics Real-Time Simulation (MuJoCo)",
   "zh": "接触丰富动力学实时仿真（MuJoCo）",
   "level": "l3"
  },
  "CAP_b62a5a7f": {
   "en": "Legged Robot Whole-Body Locomotion Control (MPC+WBC/RL) HIL Validation",
   "zh": "足式机器人全身运动控制（MPC+WBC/RL）HIL 验证",
   "level": "l3"
  },
  "CAP_41356e73": {
   "en": "DDS Real-Time Communication and Hardware State Sync",
   "zh": "DDS 实时通信与硬件状态同步",
   "level": "l3"
  },
  "CAP_a3e3a33e": {
   "en": "Hard Parameter Sharing",
   "zh": "硬参数共享",
   "level": "l2"
  },
  "CAP_3bdb1376": {
   "en": "Shared Backbone Forward Pass",
   "zh": "共享主干前向传播",
   "level": "l2"
  },
  "CAP_5f8cfec7": {
   "en": "Reinforcement Learning Throwing",
   "zh": "强化学习共享主干表征",
   "level": "l2"
  },
  "CAP_ca4b42ad": {
   "en": "Heterogeneous Data Co-training",
   "zh": "异构数据联合训练",
   "level": "l3"
  },
  "CAP_1914a69c": {
   "en": "Shared Vision Backbone MTL Manipulation",
   "zh": "共享视觉主干多任务机器人操作",
   "level": "l2"
  },
  "CAP_d2791ce4": {
   "en": "Shared Vision Backbone Feature Extraction",
   "zh": "共享视觉主干特征提取",
   "level": "l3"
  },
  "CAP_23b5bc61": {
   "en": "Task-Specific Decoder Heads",
   "zh": "任务特定解码头",
   "level": "l3"
  },
  "CAP_a6018bc0": {
   "en": "Multi-Task Joint Training",
   "zh": "多任务联合训练与损失加权",
   "level": "l3"
  },
  "CAP_0ff4b4c6": {
   "en": "Cross-Task Data Reuse",
   "zh": "跨任务数据复用",
   "level": "l3"
  },
  "CAP_cfcf240a": {
   "en": "Auxiliary Task DRL",
   "zh": "辅助任务驱动深度强化学习",
   "level": "l2"
  },
  "CAP_efe6e091": {
   "en": "Shared Trunk Representation",
   "zh": "共享主干表征学习",
   "level": "l3"
  },
  "CAP_dc3b99c7": {
   "en": "Auxiliary Control Tasks",
   "zh": "辅助控制任务",
   "level": "l3"
  },
  "CAP_3803f9cc": {
   "en": "Scheduled Auxiliary Control",
   "zh": "调度式辅助控制",
   "level": "l3"
  },
  "CAP_7006a146": {
   "en": "Contrastive Auxiliary Representation",
   "zh": "对比表征辅助任务",
   "level": "l3"
  },
  "CAP_f765da18": {
   "en": "Off-policy Experience Sharing",
   "zh": "离策略经验共享",
   "level": "l3"
  },
  "CAP_aff72894": {
   "en": "VLA Unified Backbone",
   "zh": "视觉-语言-动作统一主干",
   "level": "l2"
  },
  "CAP_e6c8443e": {
   "en": "VLM Action Tokenization",
   "zh": "VLM 动作 token 化",
   "level": "l3"
  },
  "CAP_42aaa084": {
   "en": "VLM Shared Backbone Forward",
   "zh": "VLM 共享主干前向",
   "level": "l3"
  },
  "CAP_d3544e2a": {
   "en": "Risk-Aware Motion Planning",
   "zh": "风险感知运动规划",
   "level": "l2"
  },
  "CAP_c157b30a": {
   "en": "CVaR-Constrained MPC Tracking",
   "zh": "CVaR 约束模型预测控制跟踪",
   "level": "l3"
  },
  "CAP_7ff515d3": {
   "en": "CVaR Subgradient Estimation",
   "zh": "CVaR 次梯度估计",
   "level": "l3"
  },
  "CAP_e2015c8f": {
   "en": "Learned Traversability-Aware Navigation",
   "zh": "学习驱动可通行性感知导航",
   "level": "l2"
  },
  "CAP_45282b80": {
   "en": "Semantic-LLM Hazard-Aware Task Planning",
   "zh": "语义-LLM 危险感知任务规划",
   "level": "l2"
  },
  "CAP_fa8d0f5c": {
   "en": "Hazard Semantic Layer Annotation",
   "zh": "危险语义层标注",
   "level": "l3"
  },
  "CAP_9f0f0624": {
   "en": "Robot HAZOP Node Partitioning",
   "zh": "机器人HAZOP节点划分",
   "level": "l2"
  },
  "CAP_cee53b3e": {
   "en": "HAZOP Node Decomposition",
   "zh": "HAZOP节点分解",
   "level": "l3"
  },
  "CAP_825afab9": {
   "en": "HAZOP Guideword Deviation Analysis",
   "zh": "HAZOP 引导词偏差分析",
   "level": "l3"
  },
  "CAP_f562cf5d": {
   "en": "Robotic System Hazard Cause Analysis",
   "zh": "机器人系统危险原因分析",
   "level": "l3"
  },
  "CAP_879fa9ec": {
   "en": "Standard-Compliant HAZOP Hazard Identification",
   "zh": "标准合规HAZOP危害识别",
   "level": "l3"
  },
  "CAP_8de65028": {
   "en": "HAZOP SIF Identification",
   "zh": "HAZOP 安全仪表功能识别",
   "level": "l3"
  },
  "CAP_7385cd6c": {
   "en": "HAZOP Worksheet Recording and Report Generation",
   "zh": "HAZOP工作表记录与报告生成",
   "level": "l3"
  },
  "CAP_adcd566a": {
   "en": "Hazard Identification (ISO 12100)",
   "zh": "危险源识别（ISO 12100）",
   "level": "l3"
  },
  "CAP_530218fe": {
   "en": "Safety Function Identification and Description",
   "zh": "安全功能识别与描述",
   "level": "l3"
  },
  "CAP_f98a56ca": {
   "en": "Hazard Ontology Classification",
   "zh": "危险源本体分类",
   "level": "l3"
  },
  "CAP_1db8041d": {
   "en": "AI P&ID Semantic Parsing",
   "zh": "P&ID图纸AI语义解析",
   "level": "l3"
  },
  "CAP_de19e55d": {
   "en": "Knowledge Graph-Driven HAZOP Reasoning",
   "zh": "知识图谱HAZOP推理",
   "level": "l3"
  },
  "CAP_80eba897": {
   "en": "LLM Causal Reasoning with RAG Enhancement",
   "zh": "LLM因果推理与RAG增强",
   "level": "l3"
  },
  "CAP_7d20ceb8": {
   "en": "Knowledge Graph Incremental Learning and Continuous Update",
   "zh": "知识图谱增量学习与持续更新",
   "level": "l3"
  },
  "CAP_e1ab773f": {
   "en": "HAZOP Deviation-Causal Chain Reasoning",
   "zh": "HAZOP 偏差-因果链推理",
   "level": "l3"
  },
  "CAP_8e9a494c": {
   "en": "Robot HAZOP Parameter Library Management",
   "zh": "机器人HAZOP参数库管理",
   "level": "l3"
  },
  "CAP_8da45861": {
   "en": "Deviation Generation via Guideword-Parameter Matching",
   "zh": "引导词参数偏差生成",
   "level": "l3"
  },
  "CAP_0ebb564d": {
   "en": "Standard-Compliant Item Definition",
   "zh": "标准合规ItemDefinition与系统边界定义",
   "level": "l3"
  },
  "CAP_3726e63f": {
   "en": "Functional Safety ASIL/SIL/PL Assessment",
   "zh": "功能安全ASIL_SIL_PL定级评估",
   "level": "l3"
  },
  "CAP_593c5228": {
   "en": "Functional Safety Requirement Cascade and Traceability",
   "zh": "功能安全需求级联与追溯",
   "level": "l3"
  },
  "CAP_94d47bf9": {
   "en": "Safety Mechanism FTA/FMEA/FMEDA Analysis",
   "zh": "安全机制FTA_FMEA_FMEDA分析",
   "level": "l3"
  },
  "CAP_8a3a57af": {
   "en": "Hazard Source Classification (ISO 12100)",
   "zh": "危险源分类（ISO 12100）",
   "level": "l3"
  },
  "CAP_5f9df06c": {
   "en": "Hazard Scenario Definition",
   "zh": "危害场景定义",
   "level": "l3"
  },
  "CAP_7d1f11f4": {
   "en": "Risk Parameter Classification",
   "zh": "风险参数分类",
   "level": "l3"
  },
  "CAP_16e93698": {
   "en": "Safety Circuit Architecture Design",
   "zh": "安全回路架构设计",
   "level": "l2"
  },
  "CAP_d72c466c": {
   "en": "Safety Category Selection",
   "zh": "安全类别选择",
   "level": "l3"
  },
  "CAP_9281cbfa": {
   "en": "Subsystem Topology Design",
   "zh": "子系统拓扑设计",
   "level": "l3"
  },
  "CAP_5d6359a5": {
   "en": "Reliability Parameter Quantification",
   "zh": "可靠性参数量化",
   "level": "l2"
  },
  "CAP_d6f1bfc8": {
   "en": "Diagnostic Coverage Assessment",
   "zh": "诊断覆盖率评估",
   "level": "l3"
  },
  "CAP_b0b86fc2": {
   "en": "Bow-Tie Barrier Modeling",
   "zh": "Bow-Tie屏障建模",
   "level": "l3"
  },
  "CAP_364217bc": {
   "en": "Risk Parameter Assignment",
   "zh": "风险参数赋值",
   "level": "l3"
  },
  "CAP_8dc0da34": {
   "en": "Risk Level Determination",
   "zh": "风险等级判定",
   "level": "l3"
  },
  "CAP_53e8ca47": {
   "en": "Risk Priority Ranking",
   "zh": "风险优先级排序",
   "level": "l3"
  },
  "CAP_0377fbf3": {
   "en": "Risk Control Measure Development",
   "zh": "风险控制措施制定",
   "level": "l2"
  },
  "CAP_d0398ff1": {
   "en": "Engineering Control Measure",
   "zh": "工程技术措施",
   "level": "l3"
  },
  "CAP_2210ff70": {
   "en": "Administrative Control Measure",
   "zh": "管理控制措施",
   "level": "l3"
  },
  "CAP_046d738a": {
   "en": "Personal Protective Measure",
   "zh": "个体防护措施",
   "level": "l3"
  },
  "CAP_2d767862": {
   "en": "Tail Risk Measure Calculation",
   "zh": "尾部风险度量计算",
   "level": "l3"
  },
  "CAP_3d866d99": {
   "en": "HJ Reachability Safety Filter",
   "zh": "HJ可达性安全过滤器",
   "level": "l3"
  },
  "CAP_4e4d3ba8": {
   "en": "Risk-Aware Control Execution",
   "zh": "风险感知控制执行",
   "level": "l3"
  },
  "CAP_021484e7": {
   "en": "Online Risk Monitoring and Adaptation",
   "zh": "在线风险监控与自适应",
   "level": "l3"
  },
  "CAP_a89995f0": {
   "en": "Sensor Data Preprocessing",
   "zh": "传感器数据预处理",
   "level": "l3"
  },
  "CAP_779b3970": {
   "en": "Multi-modal Data Fusion",
   "zh": "多模态数据融合",
   "level": "l3"
  },
  "CAP_9ff77f3f": {
   "en": "Hazard Classification and Localization",
   "zh": "危险分类与定位",
   "level": "l3"
  },
  "CAP_8da987c5": {
   "en": "Hazard Confirmation with Temporal Debouncing",
   "zh": "危险确认与时序去抖",
   "level": "l3"
  },
  "CAP_d907944e": {
   "en": "Hazard Severity Grading",
   "zh": "危险严重等级分级",
   "level": "l3"
  },
  "CAP_7930a0bc": {
   "en": "Hazard Alert Distribution",
   "zh": "危险告警分发",
   "level": "l3"
  },
  "CAP_5d3fb9e6": {
   "en": "Multi-modal Perception Semantic Annotation",
   "zh": "多模态感知语义标注",
   "level": "l3"
  },
  "CAP_f47c080b": {
   "en": "Spatial Semantic Relation Reasoning",
   "zh": "空间语义关系推理",
   "level": "l3"
  },
  "CAP_fabc7539": {
   "en": "SOTIF Risk Chain Construction",
   "zh": "预期功能安全风险链构建",
   "level": "l3"
  },
  "CAP_f09ea872": {
   "en": "Hazard Severity Grading Reasoning",
   "zh": "危险严重度分级推理",
   "level": "l3"
  },
  "CAP_6ad518d8": {
   "en": "Safety Predicate Logic Generation",
   "zh": "安全谓词逻辑生成",
   "level": "l3"
  },
  "CAP_7f9b08a3": {
   "en": "Knowledge-driven Hazard Report Generation",
   "zh": "知识驱动的危险报告生成",
   "level": "l3"
  },
  "CAP_834fedad": {
   "en": "Knowledge-driven Symbolic Reasoning and Safety Response",
   "zh": "知识驱动符号推理与安全响应",
   "level": "l2"
  },
  "CAP_edd44c23": {
   "en": "Knowledge-driven Hazard Report and Safety Recommendation",
   "zh": "知识驱动危险报告与安全建议输出",
   "level": "l3"
  },
  "CAP_17a1bfb2": {
   "en": "Runtime Safety Reasoning",
   "zh": "运行时安全推理",
   "level": "l3"
  },
  "CAP_305ea11c": {
   "en": "HSE Compliance Inspection and Alerting",
   "zh": "HSE合规检查与告警",
   "level": "l3"
  },
  "CAP_f707d6fe": {
   "en": "Safety Map Update and Risk Field Fusion",
   "zh": "安全地图更新与风险场融合",
   "level": "l3"
  },
  "CAP_7cfd13ec": {
   "en": "Semantic Risk Field Construction",
   "zh": "语义风险场构建",
   "level": "l3"
  },
  "CAP_50ecff58": {
   "en": "Safety Memory and Adaptive Update",
   "zh": "安全记忆与自适应更新",
   "level": "l3"
  },
  "CAP_55029296": {
   "en": "基于IBL的PBR实时预览",
   "zh": "基于IBL的PBR实时预览",
   "level": "l3"
  },
  "CAP_4cc4310c": {
   "en": "Disney Principled BRDF Parameter Fitting",
   "zh": "Disney Principled BRDF 参数拟合",
   "level": "l3"
  },
  "CAP_24783862": {
   "en": "OCIO色彩管理",
   "zh": "OCIO色彩管理",
   "level": "l3"
  },
  "CAP_6d7a88c6": {
   "en": "DDGI Probe Global Illumination",
   "zh": "DDGI 动态漫反射全局光照探针",
   "level": "l3"
  },
  "CAP_9e64ef78": {
   "en": "RT Direct Illumination Sampling",
   "zh": "RTXDI 动态直接光采样",
   "level": "l3"
  },
  "CAP_bbcdedd3": {
   "en": "Surface Cache Generation and Radiance Update",
   "zh": "表面缓存生成与辐射度更新",
   "level": "l3"
  },
  "CAP_b591fbc1": {
   "en": "Reservoir Spatiotemporal Resampling",
   "zh": "储层时空重采样",
   "level": "l3"
  },
  "CAP_6eb817c4": {
   "en": "HDR Environment Map Acquisition",
   "zh": "HDR 环境贴图采集与导入",
   "level": "l2"
  },
  "CAP_aba006b5": {
   "en": "HDR Environment Map Decoding",
   "zh": "HDR 环境贴图解码",
   "level": "l3"
  },
  "CAP_cf9a1e39": {
   "en": "IBL Prefiltering (Split-Sum)",
   "zh": "IBL 预滤波（Split-Sum 分解）",
   "level": "l2"
  },
  "CAP_ebbca76f": {
   "en": "IBL Prefiltered Compute",
   "zh": "IBL 预滤波计算",
   "level": "l3"
  },
  "CAP_235516bc": {
   "en": "Lumen Software Ray Tracing GI",
   "zh": "Lumen 软件光追全局光照",
   "level": "l2"
  },
  "CAP_bf5b0091": {
   "en": "Lumen GI Compute",
   "zh": "Lumen GI 计算",
   "level": "l3"
  },
  "CAP_c53ff55f": {
   "en": "Lumen Final Gather & Radiance Caching",
   "zh": "Lumen 最终聚集与辐射度缓存",
   "level": "l3"
  },
  "CAP_adcd1778": {
   "en": "Map Prior Encoding",
   "zh": "地图先验编码",
   "level": "l3"
  },
  "CAP_51c75fc5": {
   "en": "Multi-modal BEV Feature Extraction",
   "zh": "多模态BEV特征提取",
   "level": "l3"
  },
  "CAP_06c47180": {
   "en": "Prior-Observation Fusion Change Detection",
   "zh": "先验-观测融合变化检测",
   "level": "l3"
  },
  "CAP_73516356": {
   "en": "Changed Element Geometric Correction",
   "zh": "变化元素几何校正",
   "level": "l3"
  },
  "CAP_f1d50270": {
   "en": "Delta Update Generation",
   "zh": "增量更新补丁生成",
   "level": "l3"
  },
  "CAP_2d341892": {
   "en": "Multi-Vehicle Data Collection & Keyframe Selection",
   "zh": "多车感知数据采集与关键帧筛选",
   "level": "l3"
  },
  "CAP_294fbbac": {
   "en": "Spatio-Temporal Association & Weighted Fusion",
   "zh": "数据时空关联与动态权重融合",
   "level": "l3"
  },
  "CAP_6fe079e9": {
   "en": "Multi-Source Consistent Change Verification",
   "zh": "多源一致性变化验证",
   "level": "l3"
  },
  "CAP_a3745b44": {
   "en": "Incremental Update Patch Generation",
   "zh": "增量更新补丁生成",
   "level": "l3"
  },
  "CAP_5904773e": {
   "en": "Map Version Management & Fleet Distribution",
   "zh": "地图版本管理与车队分发",
   "level": "l3"
  },
  "CAP_fe5f38df": {
   "en": "Reflectivity Map Matching Localization",
   "zh": "反射强度图匹配定位",
   "level": "l3"
  },
  "CAP_6f850d93": {
   "en": "High-Reflectance Landmark Detection",
   "zh": "高反射地标检测",
   "level": "l3"
  },
  "CAP_7c6e8e20": {
   "en": "Spatio-Temporal Local Map Construction",
   "zh": "时空概率局部地图构建",
   "level": "l3"
  },
  "CAP_f4cabd66": {
   "en": "LiBEV Instance Segmentation",
   "zh": "LiBEV实例分割",
   "level": "l3"
  },
  "CAP_c18f38e4": {
   "en": "Visual Semantic Localization",
   "zh": "视觉语义定位",
   "level": "l2"
  },
  "CAP_75be5082": {
   "en": "Semantic-Geometric Data Association",
   "zh": "语义-几何数据关联",
   "level": "l3"
  },
  "CAP_19e51a38": {
   "en": "Semantic Line Map Relocalization",
   "zh": "语义线地图重定位",
   "level": "l3"
  },
  "CAP_22661d03": {
   "en": "Map Topology Construction",
   "zh": "地图拓扑构建",
   "level": "l3"
  },
  "CAP_d4e89ed7": {
   "en": "Frenet Trajectory Optimization (Path & Speed)",
   "zh": "Frenet横向/纵向轨迹优化",
   "level": "l3"
  },
  "CAP_7c161513": {
   "en": "Lane Graph Convolution",
   "zh": "车道图卷积（LaneGCN）",
   "level": "l3"
  },
  "CAP_f7b9ca60": {
   "en": "Multi-Modal Trajectory Decoding",
   "zh": "多模态轨迹解码",
   "level": "l3"
  },
  "CAP_c7f1c524": {
   "en": "Goal-Driven Target Proposal",
   "zh": "目标驱动终点提案（DenseTNT）",
   "level": "l3"
  },
  "CAP_be5c8f57": {
   "en": "Trajectory Prediction as Planning Proxy",
   "zh": "轨迹预测（规划代理）",
   "level": "l3"
  },
  "CAP_aed420e4": {
   "en": "Semantic Navigation Instruction",
   "zh": "语义导航指令（LLM/VLM）",
   "level": "l3"
  },
  "CAP_de9140e0": {
   "en": "BEV Map Segmentation and Instance Embedding",
   "zh": "BEV 地图分割与实例嵌入",
   "level": "l3"
  },
  "CAP_97aa3c2c": {
   "en": "Camera-LiDAR BEV Feature Fusion",
   "zh": "相机-LiDAR BEV 特征融合",
   "level": "l3"
  },
  "CAP_8e03a592": {
   "en": "Lane Direction Prediction",
   "zh": "车道方向预测",
   "level": "l3"
  },
  "CAP_8593a2ca": {
   "en": "Map Element Vectorization",
   "zh": "地图要素矢量化",
   "level": "l3"
  },
  "CAP_1e2af903": {
   "en": "End-to-End Vectorized HD Map Construction",
   "zh": "端到端矢量化高精地图构建",
   "level": "l2"
  },
  "CAP_efd03f2d": {
   "en": "Map Element Set Prediction (Permutation-Equivalent Point Set Modeling)",
   "zh": "地图要素集合预测（置换等价点集建模）",
   "level": "l3"
  },
  "CAP_6a7c94f6": {
   "en": "Hierarchical Instance & Point Query Embedding",
   "zh": "分层实例与点查询嵌入",
   "level": "l3"
  },
  "CAP_70bff30f": {
   "en": "Autoregressive Polyline Generation",
   "zh": "自回归折线段生成",
   "level": "l3"
  },
  "CAP_9a17efda": {
   "en": "Streaming Temporal Query Propagation",
   "zh": "流式时序 Query 传播",
   "level": "l3"
  },
  "CAP_237f1adf": {
   "en": "Multi-Point Attention Temporal Aggregation",
   "zh": "多点注意力时序聚合",
   "level": "l3"
  },
  "CAP_eed5fd16": {
   "en": "Neural / Implicit Field Scene Reconstruction",
   "zh": "神经/隐式场场景重建",
   "level": "l3"
  },
  "CAP_fa16f4e9": {
   "en": "Semantic Decoupling / Readout from Neural Field",
   "zh": "神经场语义解耦读出",
   "level": "l3"
  },
  "CAP_1dec3c1d": {
   "en": "Single Rigid Body Dynamics Model Building",
   "zh": "单刚体动力学模型线性化",
   "level": "l3"
  },
  "CAP_0dd9a6ab": {
   "en": "Weathervane Yaw Control",
   "zh": "风向标偏航转风控制",
   "level": "l3"
  },
  "CAP_dd58cd24": {
   "en": "Quadrotor Attitude PID Control",
   "zh": "四旋翼姿态 PID 控制",
   "level": "l3"
  },
  "CAP_4d1dd782": {
   "en": "Magnetic Inertial Heading Estimation",
   "zh": "磁惯性航向估计",
   "level": "l3"
  },
  "CAP_433e73e5": {
   "en": "Deep Thermal-Inertial Odometry Pipeline",
   "zh": "深度热-惯性里程计流水线",
   "level": "l2"
  },
  "CAP_7d6c85ae": {
   "en": "Tracking Differentiator",
   "zh": "航向参考跟踪微分器",
   "level": "l3"
  },
  "CAP_3819eb8c": {
   "en": "Learning-based Attitude-Heading Control Policy",
   "zh": "学习式姿态航向控制策略",
   "level": "l3"
  },
  "CAP_52779ec1": {
   "en": "Diagnostic Aggregation and Analysis",
   "zh": "诊断聚合与分析",
   "level": "l3"
  },
  "CAP_8ec44493": {
   "en": "Runtime Diagnostic Visualization",
   "zh": "运行时诊断可视化",
   "level": "l3"
  },
  "CAP_37281a97": {
   "en": "Service Process Auto-Restart",
   "zh": "服务进程自动重启",
   "level": "l3"
  },
  "CAP_bafeb38c": {
   "en": "Failure Recovery Chain",
   "zh": "故障恢复链",
   "level": "l3"
  },
  "CAP_bb51f4a6": {
   "en": "Process Supervision (Alternative)",
   "zh": "进程监督（替代方案）",
   "level": "l3"
  },
  "CAP_8eb83484": {
   "en": "Kernel Watchdog Interface Management",
   "zh": "内核看门狗接口管理",
   "level": "l3"
  },
  "CAP_25df60fe": {
   "en": "Boot Health Check Script Management",
   "zh": "引导期健康检查脚本管理",
   "level": "l3"
  },
  "CAP_18e3da22": {
   "en": "Boot Success/Failure Post-Processing",
   "zh": "引导成功/失败后处理脚本",
   "level": "l3"
  },
  "CAP_a1e67fe2": {
   "en": "Boot Status Query",
   "zh": "引导状态查询",
   "level": "l3"
  },
  "CAP_ef2f060f": {
   "en": "Boot Health Check Execution",
   "zh": "引导期健康检查执行",
   "level": "l2"
  },
  "CAP_563854e4": {
   "en": "Required Health Check Execution",
   "zh": "必需健康检查执行",
   "level": "l3"
  },
  "CAP_fc0b1507": {
   "en": "Wanted Health Check Execution",
   "zh": "可选健康检查执行",
   "level": "l3"
  },
  "CAP_0379dd04": {
   "en": "Rollback Decision and Execution",
   "zh": "回滚决策与执行",
   "level": "l2"
  },
  "CAP_514e3099": {
   "en": "Required Check Status Evaluation",
   "zh": "必需检查状态评估",
   "level": "l3"
  },
  "CAP_96415127": {
   "en": "System Rollback Execution",
   "zh": "系统回滚执行",
   "level": "l3"
  },
  "CAP_c84a3989": {
   "en": "Boot Status Reporting",
   "zh": "引导状态报告",
   "level": "l2"
  },
  "CAP_043c5f5b": {
   "en": "Boot Status File Writing",
   "zh": "引导状态文件写入",
   "level": "l3"
  },
  "CAP_1b593005": {
   "en": "Service Status Exposure",
   "zh": "服务状态暴露",
   "level": "l3"
  },
  "CAP_179b13d7": {
   "en": "Probe-Based Health Check Execution",
   "zh": "探针式健康检查执行",
   "level": "l2"
  },
  "CAP_fd0f094a": {
   "en": "Probe Execution",
   "zh": "探针探测执行",
   "level": "l3"
  },
  "CAP_b5b6a00e": {
   "en": "Probe Threshold Evaluation",
   "zh": "探针阈值判定",
   "level": "l3"
  },
  "CAP_636cc667": {
   "en": "Readiness Traffic Eviction",
   "zh": "就绪流量摘除",
   "level": "l3"
  },
  "CAP_69f1a029": {
   "en": "gRPC Health Protocol Adaptation",
   "zh": "gRPC 健康协议适配",
   "level": "l3"
  },
  "CAP_ba8d2a5f": {
   "en": "Registry-Driven Health Eviction",
   "zh": "注册表驱动健康摘除",
   "level": "l2"
  },
  "CAP_f89994fd": {
   "en": "Check Definition & Registration",
   "zh": "检查项定义与注册",
   "level": "l3"
  },
  "CAP_8a6acfe2": {
   "en": "Heartbeat / Renewal Reporting",
   "zh": "心跳/续约上报",
   "level": "l3"
  },
  "CAP_d5115c39": {
   "en": "Registry-Side Active Probing",
   "zh": "注册表侧主动探测",
   "level": "l3"
  },
  "CAP_9c35b3dd": {
   "en": "Lease / TTL Expiry Evaluation",
   "zh": "租约/TTL 过期判定",
   "level": "l3"
  },
  "CAP_893e1dab": {
   "en": "Critical-State Deregistration",
   "zh": "严重状态注销",
   "level": "l3"
  },
  "CAP_c8c2c80d": {
   "en": "Failure Threshold & Self-Preservation",
   "zh": "连续失败阈值与自我保护",
   "level": "l3"
  },
  "CAP_7d9fb3cd": {
   "en": "Health Status Mapping",
   "zh": "健康状态映射",
   "level": "l3"
  },
  "CAP_33cbe961": {
   "en": "ROS2/DDS Native Liveness",
   "zh": "ROS2/DDS 原生存活",
   "level": "l2"
  },
  "CAP_9afa2644": {
   "en": "Bond Heartbeat Liveness Monitoring",
   "zh": "Bond 心跳存活监控",
   "level": "l3"
  },
  "CAP_d85a888e": {
   "en": "Lifecycle Manager Bonded Supervision",
   "zh": "生命周期管理器 Bond 编排监控",
   "level": "l3"
  },
  "CAP_bf340c35": {
   "en": "Process Watchdog Keepalive",
   "zh": "进程看门狗保活",
   "level": "l3"
  },
  "CAP_5c0884db": {
   "en": "LifecycleNode State Management",
   "zh": "LifecycleNode 状态管理",
   "level": "l3"
  },
  "CAP_f5b475c6": {
   "en": "ROS2 Lifecycle Node Implementation",
   "zh": "ROS2 受管节点状态机实现",
   "level": "l2"
  },
  "CAP_14b7aff6": {
   "en": "LiDAR Point Cloud Feature Extraction",
   "zh": "LiDAR点云特征提取",
   "level": "l3"
  },
  "CAP_10468bca": {
   "en": "Camera-to-BEV View Transformation",
   "zh": "相机到BEV视图转换",
   "level": "l3"
  },
  "CAP_b6b342c5": {
   "en": "Pixel-level IR-VIS Image Fusion",
   "zh": "像素级红外可见光图像融合",
   "level": "l2"
  },
  "CAP_159063ff": {
   "en": "IR Feature Extraction",
   "zh": "红外特征提取",
   "level": "l3"
  },
  "CAP_71e50f10": {
   "en": "VIS Feature Extraction",
   "zh": "可见光特征提取",
   "level": "l3"
  },
  "CAP_bd284921": {
   "en": "Feature Interaction and Alignment",
   "zh": "特征交互与对齐",
   "level": "l3"
  },
  "CAP_40ddf132": {
   "en": "Fusion Strategy Selection and Execution",
   "zh": "融合策略选择与执行",
   "level": "l3"
  },
  "CAP_21cc82bc": {
   "en": "Decoder Reconstruction",
   "zh": "解码器重建",
   "level": "l3"
  },
  "CAP_d17ccd84": {
   "en": "Semantic-aware Fusion Loss Optimization",
   "zh": "语义感知融合损失优化",
   "level": "l3"
  },
  "CAP_b1c67ad1": {
   "en": "Fusion Quality Assessment",
   "zh": "融合质量评估",
   "level": "l3"
  },
  "CAP_6d9f2b4e": {
   "en": "Image Pair Registration and Alignment",
   "zh": "图像对配准与对齐",
   "level": "l3"
  },
  "CAP_7ecf7dfb": {
   "en": "Feature Extraction and Encoding",
   "zh": "特征提取与编码",
   "level": "l2"
  },
  "CAP_887599a0": {
   "en": "Dense Block Feature Extraction",
   "zh": "密集块特征提取",
   "level": "l3"
  },
  "CAP_926d5e32": {
   "en": "GRDB Feature Extraction",
   "zh": "梯度残差密集块特征提取",
   "level": "l3"
  },
  "CAP_13c428ff": {
   "en": "Feature Fusion and Adaptive Weighting",
   "zh": "特征融合与自适应加权",
   "level": "l2"
  },
  "CAP_b7bbe189": {
   "en": "Addition Fusion",
   "zh": "加法融合",
   "level": "l3"
  },
  "CAP_dfadf840": {
   "en": "L1-Norm Weighted Fusion",
   "zh": "L1范数加权融合",
   "level": "l3"
  },
  "CAP_a1fd0752": {
   "en": "Adaptive Information Preservation Fusion",
   "zh": "自适应信息保持度融合",
   "level": "l3"
  },
  "CAP_3575098d": {
   "en": "Decoding and Task-Driven Optimization",
   "zh": "解码重建与任务驱动优化",
   "level": "l2"
  },
  "CAP_bfae6250": {
   "en": "Semantic-Aware Decoding",
   "zh": "语义感知解码",
   "level": "l3"
  },
  "CAP_c96da45b": {
   "en": "Detection-Aware Decoding",
   "zh": "检测感知解码",
   "level": "l3"
  },
  "CAP_bc168f16": {
   "en": "Visuo-Tactile Data Synchronization and Spatial Alignment",
   "zh": "视触觉数据同步与空间对齐",
   "level": "l3"
  },
  "CAP_61a15884": {
   "en": "Visual Data Acquisition",
   "zh": "视觉数据采集",
   "level": "l3"
  },
  "CAP_61c142a9": {
   "en": "Tactile Data Acquisition",
   "zh": "触觉数据采集",
   "level": "l3"
  },
  "CAP_b403fe2c": {
   "en": "Unified 3D Visuo-Tactile Representation",
   "zh": "统一3D视触觉表示",
   "level": "l3"
  },
  "CAP_a7d9e533": {
   "en": "Visuo-Tactile World Model Prediction",
   "zh": "视触觉世界模型预测",
   "level": "l3"
  },
  "CAP_9ee0ca60": {
   "en": "Operation Quality Assessment and Failure Detection",
   "zh": "操作质量评估与失败检测",
   "level": "l3"
  },
  "CAP_90e4ca39": {
   "en": "Frontend Perception and Feature Extraction",
   "zh": "前端感知与特征提取",
   "level": "l2"
  },
  "CAP_92644237": {
   "en": "Kinematic Segmentation for Depth Extraction",
   "zh": "运动学分割深度提取",
   "level": "l3"
  },
  "CAP_42922bcc": {
   "en": "Tactile Contact Depth Prediction",
   "zh": "触觉接触深度预测",
   "level": "l3"
  },
  "CAP_ce9c7357": {
   "en": "Backend Joint Optimization",
   "zh": "后端联合优化",
   "level": "l2"
  },
  "CAP_1c69641b": {
   "en": "Neural Field Shape Representation",
   "zh": "神经场形状表示",
   "level": "l3"
  },
  "CAP_6e29d8d9": {
   "en": "Pose Graph Optimization with Theseus",
   "zh": "基于Theseus的位姿图优化",
   "level": "l3"
  },
  "CAP_cb6cad3e": {
   "en": "Distributed Robot Policy Training",
   "zh": "分布式机器人策略训练",
   "level": "l3"
  },
  "CAP_9e86d832": {
   "en": "RNN Policy Permutation Invariance Alignment",
   "zh": "RNN策略置换不变性对齐",
   "level": "l3"
  },
  "CAP_d9d123ff": {
   "en": "Multi-Policy Weight Merging",
   "zh": "多策略权重合并",
   "level": "l3"
  },
  "CAP_aa8961c8": {
   "en": "Merged Policy Validation & Zero-shot Deployment",
   "zh": "合并策略验证与零样本部署",
   "level": "l3"
  },
  "CAP_f1fa4243": {
   "en": "Cross-Embodiment Data Standardization & Aggregation",
   "zh": "跨本体数据标准化与聚合",
   "level": "l3"
  },
  "CAP_eed8f771": {
   "en": "Cross-Embodiment Generalist Policy Pre-training",
   "zh": "跨本体通用策略预训练",
   "level": "l3"
  },
  "CAP_7f47432d": {
   "en": "Target Embodiment Policy Fine-tuning",
   "zh": "目标本体策略微调适配",
   "level": "l3"
  },
  "CAP_56efbf21": {
   "en": "Cross-Embodiment Generalization Evaluation",
   "zh": "跨本体泛化评估",
   "level": "l3"
  },
  "CAP_c0e36881": {
   "en": "Heterogeneous Robot Capability Characterization",
   "zh": "异构机器人能力表征",
   "level": "l3"
  },
  "CAP_7cc51c9e": {
   "en": "Capability-Aware Task Decomposition & Allocation",
   "zh": "能力感知任务分解与分配",
   "level": "l3"
  },
  "CAP_bbe0f76c": {
   "en": "Heterogeneous Policy Coordination Execution",
   "zh": "异构策略协调执行",
   "level": "l3"
  },
  "CAP_e6180273": {
   "en": "Team-Level Feedback Learning & Adaptation",
   "zh": "团队级反馈学习与适应",
   "level": "l3"
  },
  "CAP_636d0191": {
   "en": "Cross-View Image Preprocessing",
   "zh": "跨视角图像预处理",
   "level": "l3"
  },
  "CAP_e7998f00": {
   "en": "Dual-Stream Transformer Feature Encoding",
   "zh": "双流Transformer特征编码",
   "level": "l3"
  },
  "CAP_e45182c2": {
   "en": "Attention-Guided Non-Uniform Cropping",
   "zh": "注意力引导非均匀裁剪",
   "level": "l3"
  },
  "CAP_db3c27cc": {
   "en": "Cross-View Feature Retrieval and Matching",
   "zh": "跨视角特征检索与匹配",
   "level": "l3"
  },
  "CAP_2977215d": {
   "en": "Floor Plan CAD BIM Indoor Localization",
   "zh": "建筑平面图/CAD/BIM室内定位",
   "level": "l2"
  },
  "CAP_33856243": {
   "en": "Floorplan Ray Representation Generation",
   "zh": "平面图射线表示生成",
   "level": "l3"
  },
  "CAP_a0e35560": {
   "en": "Monocular Horizontal Depth Estimation",
   "zh": "单目水平深度估计",
   "level": "l3"
  },
  "CAP_dd654e84": {
   "en": "CAD Blueprint Adaptive Projection Registration",
   "zh": "CAD蓝图自适应投影配准",
   "level": "l3"
  },
  "CAP_108abde5": {
   "en": "OpenStreetMap Cross-Modal Global Localization",
   "zh": "OSM跨模态全局定位",
   "level": "l2"
  },
  "CAP_f12b6de4": {
   "en": "OSM Intersection Imprint Extraction",
   "zh": "OSM路口印记提取",
   "level": "l3"
  },
  "CAP_15ef2417": {
   "en": "LiDAR Semantic Intersection Detection",
   "zh": "LiDAR语义路口检测",
   "level": "l3"
  },
  "CAP_1a3b7210": {
   "en": "Cross-Modal Descriptor Generation",
   "zh": "跨模态描述子生成",
   "level": "l3"
  },
  "CAP_05febd0b": {
   "en": "Global Pose Estimation and Output",
   "zh": "全局位姿估计与输出",
   "level": "l3"
  },
  "CAP_4cce96d4": {
   "en": "Centralized Multi-Robot SLAM",
   "zh": "集中式多机器人SLAM",
   "level": "l2"
  },
  "CAP_973a1392": {
   "en": "Centralized LiDAR Cross-Robot Loop Closure",
   "zh": "集中式LiDAR跨机器人回环检测",
   "level": "l3"
  },
  "CAP_a0a7d94b": {
   "en": "Centralized Global Pose Graph Optimization",
   "zh": "集中式全局位姿图优化",
   "level": "l3"
  },
  "CAP_763a3436": {
   "en": "Optimized Pose Feedback and Map Correction",
   "zh": "优化位姿回传与地图校正",
   "level": "l3"
  },
  "CAP_45030c95": {
   "en": "Kimera-Multi Distributed SLAM",
   "zh": "Kimera-Multi分布式SLAM",
   "level": "l3"
  },
  "CAP_b5e19aed": {
   "en": "Object-Level Instance Semantic Mapping",
   "zh": "对象级实例语义建图",
   "level": "l3"
  },
  "CAP_fe7c0153": {
   "en": "BEV Multimodal Unified Perception And Planning",
   "zh": "BEV 多模态统一感知与规划",
   "level": "l2"
  },
  "CAP_79715c54": {
   "en": "Multi-Camera Feature Extraction",
   "zh": "多视角特征提取",
   "level": "l3"
  },
  "CAP_8265187d": {
   "en": "BEV 3D Object Detection",
   "zh": "BEV 三维目标检测",
   "level": "l3"
  },
  "CAP_7cfa5951": {
   "en": "Online Map Segmentation",
   "zh": "在线地图分割",
   "level": "l3"
  },
  "CAP_369b5a74": {
   "en": "End-To-End Trajectory Planning",
   "zh": "端到端轨迹规划",
   "level": "l3"
  },
  "CAP_5ca5a7b0": {
   "en": "Multi-Agent Collaborative Perception And Communication Coordination",
   "zh": "多智能体协同感知与通信协调",
   "level": "l2"
  },
  "CAP_0799a090": {
   "en": "Local Perception Encoding",
   "zh": "单智能体本地感知编码",
   "level": "l3"
  },
  "CAP_2a5ae832": {
   "en": "Communication Bandwidth Aware Message Selection",
   "zh": "带宽自适应消息选择",
   "level": "l3"
  },
  "CAP_459a9e39": {
   "en": "Collaborative Feature Aggregation",
   "zh": "协同特征聚合",
   "level": "l3"
  },
  "CAP_69aa8100": {
   "en": "Cooperative 3D Object Detection",
   "zh": "协同三维目标检测",
   "level": "l3"
  },
  "CAP_fc318bab": {
   "en": "Embodied Active Perception And Viewpoint Coordination",
   "zh": "具身主动感知与视点协调",
   "level": "l2"
  },
  "CAP_5618484b": {
   "en": "Active Viewpoint Selection",
   "zh": "主动视点选择",
   "level": "l3"
  },
  "CAP_c32e8e02": {
   "en": "Semantic Spatial Memory Construction",
   "zh": "语义空间记忆构建",
   "level": "l3"
  },
  "CAP_ae65f449": {
   "en": "Sensorimotor Representation Pretraining",
   "zh": "传感器运动表征预训练",
   "level": "l3"
  },
  "CAP_b349f4bc": {
   "en": "Cross-Modal Perception-Action Fusion",
   "zh": "跨模态感知-动作融合",
   "level": "l3"
  },
  "CAP_b34c04a5": {
   "en": "Uncertainty-Aware Exploration",
   "zh": "不确定性感知探索",
   "level": "l3"
  },
  "CAP_09aca2d5": {
   "en": "Geometric Primitive Fitting",
   "zh": "几何基元拟合",
   "level": "l3"
  },
  "CAP_bab1e7aa": {
   "en": "Dense 3D Mesh Generation",
   "zh": "稠密3D网格生成",
   "level": "l3"
  },
  "CAP_c6993389": {
   "en": "Semantic Mesh Annotation",
   "zh": "语义网格标注",
   "level": "l3"
  },
  "CAP_e8de9b7b": {
   "en": "Sensor Data Ingestion",
   "zh": "传感器数据接入",
   "level": "l3"
  },
  "CAP_bf5b83b3": {
   "en": "Single-Robot Odometry Front-End",
   "zh": "单机里程计前端",
   "level": "l3"
  },
  "CAP_1a446994": {
   "en": "Online LiDAR-IMU Extrinsic Calibration",
   "zh": "在线激光-惯性外参标定",
   "level": "l3"
  },
  "CAP_4daacea9": {
   "en": "Camera-LiDAR Fusion",
   "zh": "相机-激光融合",
   "level": "l2"
  },
  "CAP_c571f855": {
   "en": "Visuo-Tactile-Force Dexterous Manipulation",
   "zh": "视觉-触觉-力觉灵巧操作",
   "level": "l2"
  },
  "CAP_3058d6d3": {
   "en": "LiDAR Degeneracy-Aware Registration Dispatch",
   "zh": "退化感知的激光配准调度",
   "level": "l3"
  },
  "CAP_59b9afc3": {
   "en": "Cross-Modal Enhancement Mode Selection",
   "zh": "跨模态增强模式选择",
   "level": "l3"
  },
  "CAP_1bcc1b94": {
   "en": "Vision-Based Object Localization",
   "zh": "基于视觉的物体定位",
   "level": "l3"
  },
  "CAP_53efae91": {
   "en": "Dialectic Multi-Robot Role Collaboration",
   "zh": "辩证式多机器人角色协作",
   "level": "l3"
  },
  "CAP_65169913": {
   "en": "Heterogeneous Worker Role Matching",
   "zh": "异构 Worker 角色匹配",
   "level": "l3"
  },
  "CAP_48c3ddbd": {
   "en": "Heuristic Quality Verification",
   "zh": "启发式质量验证",
   "level": "l2"
  },
  "CAP_2293e5a6": {
   "en": "Heuristic Evaluation Input Preparation",
   "zh": "启发式评估输入准备",
   "level": "l3"
  },
  "CAP_6b32093e": {
   "en": "Learned Heuristic Admissibility Verification",
   "zh": "学习启发式可采纳性验证",
   "level": "l3"
  },
  "CAP_290cde93": {
   "en": "Heuristic Consistency Check",
   "zh": "启发式一致性检验",
   "level": "l3"
  },
  "CAP_2ca4591c": {
   "en": "NN Output Bound Certification",
   "zh": "神经网络输出界认证",
   "level": "l3"
  },
  "CAP_792c6cbc": {
   "en": "Heuristic Search Efficiency Benchmarking",
   "zh": "启发式搜索效率基准评估",
   "level": "l2"
  },
  "CAP_4981f276": {
   "en": "Learned Heuristic Benchmark Suite",
   "zh": "学习启发式基准测试套件",
   "level": "l3"
  },
  "CAP_55328dec": {
   "en": "Search Effort Reduction Metric",
   "zh": "搜索代价缩减度量",
   "level": "l3"
  },
  "CAP_128f0f48": {
   "en": "Informativeness Comparison",
   "zh": "信息量对比评估",
   "level": "l3"
  },
  "CAP_1e928a89": {
   "en": "Heuristic Trustworthiness Under Distribution Shift",
   "zh": "分布偏移下启发式可信赖性评估",
   "level": "l2"
  },
  "CAP_cd64257b": {
   "en": "Heuristic OOD Robustness Test",
   "zh": "启发式分布外鲁棒性测试",
   "level": "l3"
  },
  "CAP_f4300af8": {
   "en": "Heuristic Uncertainty Quantification",
   "zh": "启发式不确定性量化",
   "level": "l3"
  },
  "CAP_4d52dc93": {
   "en": "Adversarial Heuristic Perturbation Test",
   "zh": "对抗扰动启发式测试",
   "level": "l3"
  },
  "CAP_fe87ebd0": {
   "en": "Meta-Learned Heuristic Transfer",
   "zh": "元学习启发式跨域迁移",
   "level": "l2"
  },
  "CAP_f873d15a": {
   "en": "Planning State Encoding and Sample Generation",
   "zh": "规划状态编码与样本生成",
   "level": "l3"
  },
  "CAP_dd95cbe3": {
   "en": "Meta-Learning Heuristic Training",
   "zh": "元学习启发式训练",
   "level": "l3"
  },
  "CAP_2fe07dbb": {
   "en": "Few-Shot Heuristic Adaptation for Target Domain",
   "zh": "目标域少样本启发式适配",
   "level": "l3"
  },
  "CAP_fa539881": {
   "en": "Heuristic-Guided Planning Search",
   "zh": "启发式引导规划搜索",
   "level": "l3"
  },
  "CAP_adf841eb": {
   "en": "Planning Feedback Learning",
   "zh": "规划反馈学习",
   "level": "l3"
  },
  "CAP_80307a6a": {
   "en": "Candidate Heuristic Evaluation and Selection",
   "zh": "候选启发式评估与筛选",
   "level": "l3"
  },
  "CAP_c22e6f49": {
   "en": "Heuristic-Integrated Planning Search",
   "zh": "启发式集成规划搜索",
   "level": "l3"
  },
  "CAP_a63a7f43": {
   "en": "Heuristic Persistence and Reuse",
   "zh": "启发式固化与复用",
   "level": "l3"
  },
  "CAP_7747d02e": {
   "en": "Representation Learning for Heuristic Transfer",
   "zh": "表示学习与域泛化启发式迁移",
   "level": "l2"
  },
  "CAP_7c933737": {
   "en": "Planning Task Graph Representation Construction",
   "zh": "规划任务图表示构建",
   "level": "l3"
  },
  "CAP_195f3e42": {
   "en": "Domain Adaptation Heuristic Transfer",
   "zh": "域适应启发式迁移",
   "level": "l3"
  },
  "CAP_97c7e84f": {
   "en": "Generalized Planning Program Synthesis",
   "zh": "广义规划程序合成",
   "level": "l3"
  },
  "CAP_9e54411c": {
   "en": "Centralized Task Assignment",
   "zh": "集中式任务分配",
   "level": "l2"
  },
  "CAP_b475f703": {
   "en": "Spatial-Temporal Path Planning & Conflict Resolution",
   "zh": "时空路径规划与冲突消解",
   "level": "l2"
  },
  "CAP_5c14075b": {
   "en": "Heterogeneous Fleet Adapter Bridging",
   "zh": "异构车队适配桥接",
   "level": "l2"
  },
  "CAP_54215e41": {
   "en": "Shared Infrastructure Scheduling",
   "zh": "共享基础设施调度",
   "level": "l2"
  },
  "CAP_a3b80fc0": {
   "en": "Execution Status Monitoring & Feedback",
   "zh": "执行状态监控与反馈",
   "level": "l2"
  },
  "CAP_049c51c5": {
   "en": "Natural Language Goal Understanding & Intent Parsing",
   "zh": "自然语言目标理解与意图解析",
   "level": "l2"
  },
  "CAP_c9c9b0b1": {
   "en": "Hierarchical Task Decomposition & DAG Scheduling",
   "zh": "层次化任务分解与 DAG 调度",
   "level": "l2"
  },
  "CAP_2251a0db": {
   "en": "Capability-Aware Task Allocation",
   "zh": "能力感知任务分配",
   "level": "l2"
  },
  "CAP_6a685cad": {
   "en": "Skill Composition & Code Generation",
   "zh": "技能组合与代码生成执行",
   "level": "l2"
  },
  "CAP_7b46a778": {
   "en": "Perception-Driven Event Monitoring & Classification",
   "zh": "感知驱动事件监控与分类",
   "level": "l2"
  },
  "CAP_6820c0f8": {
   "en": "Cross-Robot Shared Memory & State Synchronization",
   "zh": "跨机器人共享记忆与状态同步",
   "level": "l2"
  },
  "CAP_fdecd549": {
   "en": "Multi-modal State Estimation & Localization",
   "zh": "多模态状态估计与定位",
   "level": "l2"
  },
  "CAP_bc95eab0": {
   "en": "Belief Space Geometric-Semantic Mapping",
   "zh": "信念空间几何-语义地图构建",
   "level": "l2"
  },
  "CAP_24bb60b6": {
   "en": "Risk-Aware Traversability Analysis",
   "zh": "风险感知可通行性分析",
   "level": "l2"
  },
  "CAP_75a27c81": {
   "en": "Hierarchical Coverage Planning & Information Roadmap",
   "zh": "层次化覆盖规划与信息路标图",
   "level": "l2"
  },
  "CAP_7bc9fbf3": {
   "en": "Decentralized Goal Negotiation & Task Allocation",
   "zh": "去中心化目标协商与任务分配",
   "level": "l2"
  },
  "CAP_26154ac9": {
   "en": "GeometricSemanticMapConstruction",
   "zh": "几何语义地图构建",
   "level": "l3"
  },
  "CAP_7f53bac8": {
   "en": "UncertaintyDistributionMaintenance",
   "zh": "不确定性分布维护",
   "level": "l3"
  },
  "CAP_9501fca8": {
   "en": "DecompJudge",
   "zh": "分解判定器",
   "level": "l3"
  },
  "CAP_ab125e8b": {
   "en": "DecomposeHierarchicalCoordination",
   "zh": "层级协调分解",
   "level": "l3"
  },
  "CAP_da4e8562": {
   "en": "TerrainFeatureExtraction",
   "zh": "地形特征提取",
   "level": "l3"
  },
  "CAP_a5add651": {
   "en": "ProbabilisticPathAssessment",
   "zh": "概率路径评估",
   "level": "l3"
  },
  "CAP_a532c567": {
   "en": "ProceedPlanning",
   "zh": "推进规划",
   "level": "l3"
  },
  "CAP_e07deee6": {
   "en": "ObstacleMarking",
   "zh": "障碍物标记",
   "level": "l3"
  },
  "CAP_9ebc6bd7": {
   "en": "NegotiationJudge",
   "zh": "协商裁决",
   "level": "l3"
  },
  "CAP_a52c6421": {
   "en": "AlternativeRouteAdoption",
   "zh": "备选路线采纳",
   "level": "l3"
  },
  "CAP_78cc79ca": {
   "en": "WaitRetry",
   "zh": "等待与重试",
   "level": "l3"
  },
  "CAP_79bd820b": {
   "en": "InformationRoadmapConstruction",
   "zh": "信息路线图构建",
   "level": "l3"
  },
  "CAP_584f662a": {
   "en": "BeliefExchange",
   "zh": "信念交换",
   "level": "l3"
  },
  "CAP_d199ce8b": {
   "en": "DistributedGoalVoting",
   "zh": "分布式目标投票",
   "level": "l3"
  },
  "CAP_a420a91a": {
   "en": "NetworkJudge",
   "zh": "网络判定",
   "level": "l3"
  },
  "CAP_62cffd79": {
   "en": "DecentralizedNegotiation",
   "zh": "去中心化协商",
   "level": "l3"
  },
  "CAP_3acf0080": {
   "en": "IndependentDecision",
   "zh": "独立决策",
   "level": "l3"
  },
  "CAP_33dcffd0": {
   "en": "LocalCostmapGeneration",
   "zh": "局部代价地图生成",
   "level": "l3"
  },
  "CAP_c3395fdd": {
   "en": "InfeasibilityReporting",
   "zh": "不可行性报告",
   "level": "l3"
  },
  "CAP_18c2c5a3": {
   "en": "TrajectorySafetyVerification",
   "zh": "轨迹安全验证",
   "level": "l3"
  },
  "CAP_26d216ab": {
   "en": "PathSafetyJudge",
   "zh": "路径安全判定",
   "level": "l3"
  },
  "CAP_11271fdb": {
   "en": "ReplanPath",
   "zh": "路径重规划",
   "level": "l3"
  },
  "CAP_2af7b30a": {
   "en": "CommOpportunityDetection",
   "zh": "通信机会检测",
   "level": "l3"
  },
  "CAP_50e555ae": {
   "en": "TraversabilityRiskAssessment",
   "zh": "可通行性风险评估",
   "level": "l3"
  },
  "CAP_a4109fe9": {
   "en": "GlobalExplorationPathGeneration",
   "zh": "全局探索路径生成",
   "level": "l3"
  },
  "CAP_21252e01": {
   "en": "SafeTrajectoryGeneration",
   "zh": "安全轨迹生成",
   "level": "l3"
  },
  "CAP_44f8dba3": {
   "en": "MapPoseSync",
   "zh": "地图与位姿同步",
   "level": "l3"
  },
  "CAP_8926c50f": {
   "en": "CommSyncJudge",
   "zh": "通信同步判定",
   "level": "l3"
  },
  "CAP_20370c6a": {
   "en": "BeliefSynchronization",
   "zh": "信念同步",
   "level": "l3"
  },
  "CAP_7618f830": {
   "en": "ContinueIndependent",
   "zh": "独立继续执行",
   "level": "l3"
  },
  "CAP_a5c24848": {
   "en": "CycleEndSignal",
   "zh": "周期结束信号",
   "level": "l3"
  },
  "CAP_bdac34a1": {
   "en": "Multi-Sensor Data Acquisition",
   "zh": "多传感器数据采集",
   "level": "l3"
  },
  "CAP_06a2896d": {
   "en": "Local Factor Graph Construction",
   "zh": "本地因子图构建",
   "level": "l3"
  },
  "CAP_59ab38b2": {
   "en": "Cluster Membership Discovery and Networking",
   "zh": "簇成员发现与组网",
   "level": "l3"
  },
  "CAP_765fb9c3": {
   "en": "Intra-Cluster Summary Graph Exchange",
   "zh": "簇内摘要图交换",
   "level": "l3"
  },
  "CAP_337f9329": {
   "en": "Inter-Cluster Summary Graph Propagation",
   "zh": "簇间摘要图传播",
   "level": "l3"
  },
  "CAP_117b0a52": {
   "en": "Inter-Cluster Map Alignment",
   "zh": "簇间地图对齐",
   "level": "l3"
  },
  "CAP_04d0dec8": {
   "en": "Hierarchical Semantic Scene Graph CSLAM",
   "zh": "分层语义场景图协同SLAM",
   "level": "l2"
  },
  "CAP_a3421482": {
   "en": "Room Keyframe Generation",
   "zh": "房间关键帧生成",
   "level": "l3"
  },
  "CAP_8ab2aa5c": {
   "en": "Cross-Robot Semantic Matching",
   "zh": "跨机器人语义匹配",
   "level": "l3"
  },
  "CAP_1ad418e6": {
   "en": "Relative Map Estimation",
   "zh": "相对地图估计",
   "level": "l3"
  },
  "CAP_5e3cf5ef": {
   "en": "Distributed Scene Graph Fusion",
   "zh": "分布式场景图融合",
   "level": "l3"
  },
  "CAP_51fbcb00": {
   "en": "Global Scene Graph Optimization",
   "zh": "全局场景图优化",
   "level": "l3"
  },
  "CAP_b2bbf886": {
   "en": "Semantic Map Output",
   "zh": "语义地图输出",
   "level": "l3"
  },
  "CAP_6b89493e": {
   "en": "Decentralized Sparse Communication CSLAM",
   "zh": "去中心化稀疏通信协同SLAM",
   "level": "l2"
  },
  "CAP_ae395ee9": {
   "en": "Neighbor Discovery & Mesh Networking",
   "zh": "邻居发现与P2P组网",
   "level": "l3"
  },
  "CAP_e35cd980": {
   "en": "Geometric Verification & Relative Pose Estimation",
   "zh": "几何验证与相对位姿估计",
   "level": "l3"
  },
  "CAP_7fd34226": {
   "en": "Distributed Coordinate Frame Alignment",
   "zh": "分布式坐标系对齐",
   "level": "l3"
  },
  "CAP_6bc92ad0": {
   "en": "Graph Summarization with Anti-Factor",
   "zh": "摘要化图压缩（反因子）",
   "level": "l3"
  },
  "CAP_cacd24a6": {
   "en": "Hierarchical Goal Space Definition",
   "zh": "分层目标空间定义",
   "level": "l3"
  },
  "CAP_4cd71e32": {
   "en": "Manager-Worker Loop",
   "zh": "Manager-Worker 交互循环",
   "level": "l2"
  },
  "CAP_aea6e288": {
   "en": "Manager Subgoal Generation",
   "zh": "Manager 子目标生成",
   "level": "l3"
  },
  "CAP_edcb6e91": {
   "en": "Worker Goal-Conditioned Action Execution",
   "zh": "Worker 目标条件化动作执行",
   "level": "l3"
  },
  "CAP_85b00f0b": {
   "en": "Intrinsic Reward Computation",
   "zh": "内在奖励计算",
   "level": "l3"
  },
  "CAP_dcbad7c6": {
   "en": "Training Optimization",
   "zh": "训练优化约束",
   "level": "l2"
  },
  "CAP_2e2ea870": {
   "en": "Landmark-Guided Subgoal Constraint",
   "zh": "地标引导子目标约束",
   "level": "l3"
  },
  "CAP_cb7493c1": {
   "en": "Chain-of-Goals Autoregressive Generation",
   "zh": "链式目标自回归生成",
   "level": "l3"
  },
  "CAP_e258f4ca": {
   "en": "VLM-based Instruction Parsing",
   "zh": "基于 VLM 的指令解析",
   "level": "l3"
  },
  "CAP_5ce1ab76": {
   "en": "Goal Decomposition and Grounding",
   "zh": "目标分解与接地映射",
   "level": "l2"
  },
  "CAP_50e76413": {
   "en": "Subgoal Affordance Grounding",
   "zh": "子目标 affordance 接地",
   "level": "l3"
  },
  "CAP_dedf40f2": {
   "en": "Subgoal Tree and Execution",
   "zh": "子目标树与条件化执行",
   "level": "l2"
  },
  "CAP_10d405b1": {
   "en": "Cross-Hierarchical Subgoal Tree",
   "zh": "跨层次子目标树构建",
   "level": "l3"
  },
  "CAP_28fef595": {
   "en": "Spatial Goal Representation",
   "zh": "空间目标表示与条件化",
   "level": "l3"
  },
  "CAP_56f0d709": {
   "en": "Closed-Loop Feedback Replanning",
   "zh": "闭环语言反馈重规划",
   "level": "l3"
  },
  "CAP_c1bf4c2b": {
   "en": "Multi-Scale Latent World Model Learning",
   "zh": "多时间尺度潜世界模型学习",
   "level": "l3"
  },
  "CAP_8ab4d97f": {
   "en": "Hierarchical MPC Planning",
   "zh": "分层 MPC 规划",
   "level": "l2"
  },
  "CAP_e2e27d61": {
   "en": "High-Level Latent MPC",
   "zh": "高层潜空间 MPC 规划",
   "level": "l3"
  },
  "CAP_d4ec9d1c": {
   "en": "Low-Level Goal-Conditioned MPC",
   "zh": "低层目标条件化 MPC",
   "level": "l3"
  },
  "CAP_19696836": {
   "en": "Advanced World Model Architectures",
   "zh": "高级世界模型架构",
   "level": "l2"
  },
  "CAP_f143d20c": {
   "en": "Joint Logical-Visual State Prediction",
   "zh": "逻辑-视觉联合状态预测",
   "level": "l3"
  },
  "CAP_1dca1376": {
   "en": "Object-Centric Subgoal Optimization",
   "zh": "物体中心子目标优化",
   "level": "l3"
  },
  "CAP_84f71c9e": {
   "en": "Diffusion-Rectified Flow Hybrid Planning",
   "zh": "扩散-整流流混合分层规划",
   "level": "l3"
  },
  "CAP_8d88c86f": {
   "en": "Plan Scheduling & Optimization",
   "zh": "计划调度与优化",
   "level": "l3"
  },
  "CAP_926bf528": {
   "en": "Subgoal Verification & Execution",
   "zh": "子目标验证与执行",
   "level": "l2"
  },
  "CAP_095973e1": {
   "en": "Progress Monitoring & Re-decomposition Control",
   "zh": "进度监控与重分解控制",
   "level": "l2"
  },
  "CAP_11bda054": {
   "en": "Progress Evaluation & Re-decomposition",
   "zh": "进度评估与重分解",
   "level": "l3"
  },
  "CAP_3a1dbd27": {
   "en": "Hierarchical Reward & Optimization",
   "zh": "层次化奖励与优化",
   "level": "l2"
  },
  "CAP_cf687e39": {
   "en": "Hierarchical Diffusion-Flow Planning",
   "zh": "层次化扩散-流规划",
   "level": "l3"
  },
  "CAP_02e136cb": {
   "en": "Collapsed Tree Retrieval",
   "zh": "折叠树检索",
   "level": "l3"
  },
  "CAP_0a667fe0": {
   "en": "Tree Traversal Retrieval",
   "zh": "树遍历检索",
   "level": "l3"
  },
  "CAP_0f42f8fb": {
   "en": "Hierarchical Context Assembly",
   "zh": "层级上下文装配",
   "level": "l3"
  },
  "CAP_d7f32c63": {
   "en": "Graph-Enhanced Knowledge Indexing",
   "zh": "图增强知识索引",
   "level": "l2"
  },
  "CAP_56b91a56": {
   "en": "Hierarchical Community Detection (Leiden)",
   "zh": "层级社区检测（Leiden）",
   "level": "l3"
  },
  "CAP_596f0a58": {
   "en": "Community Summary Generation",
   "zh": "社区摘要生成",
   "level": "l3"
  },
  "CAP_bc55dd2f": {
   "en": "Global Map-Reduce Query",
   "zh": "全局 Map-Reduce 查询",
   "level": "l3"
  },
  "CAP_b1f2593d": {
   "en": "Local Entity-Centric Query",
   "zh": "局部实体中心查询",
   "level": "l3"
  },
  "CAP_a26de164": {
   "en": "Dual-Level KV Graph Retrieval",
   "zh": "双层键值图检索",
   "level": "l3"
  },
  "CAP_78d39de8": {
   "en": "Adaptive Hierarchical Routing",
   "zh": "自适应层级路由",
   "level": "l2"
  },
  "CAP_55f73322": {
   "en": "Query Complexity Classifier",
   "zh": "查询复杂度分类器",
   "level": "l3"
  },
  "CAP_83046bc5": {
   "en": "Reflection-Token Retrieval Gating",
   "zh": "反思令牌检索门控",
   "level": "l3"
  },
  "CAP_9b4b336a": {
   "en": "Generation Self-Critique",
   "zh": "生成自批判",
   "level": "l3"
  },
  "CAP_d258898e": {
   "en": "Plan-then-Retrieve Decomposition",
   "zh": "先规划后检索分解",
   "level": "l3"
  },
  "CAP_fc099907": {
   "en": "Multi-Step Iterative Retrieval",
   "zh": "多步迭代检索",
   "level": "l3"
  },
  "CAP_654df949": {
   "en": "Leaf Chunking",
   "zh": "叶子切块",
   "level": "l3"
  },
  "CAP_adc96cf6": {
   "en": "Graph Index Strategy Selection",
   "zh": "图索引策略选型",
   "level": "l3"
  },
  "CAP_465b4190": {
   "en": "Dual-Level KV Index Construction",
   "zh": "双层键值图索引构建",
   "level": "l3"
  },
  "CAP_1f998c71": {
   "en": "Graph Query Routing",
   "zh": "图查询路由",
   "level": "l3"
  },
  "CAP_dbab2f42": {
   "en": "Graph Context Assembly",
   "zh": "图上下文装配",
   "level": "l3"
  },
  "CAP_d7e8c85e": {
   "en": "Retrieval Policy Training",
   "zh": "检索策略模型训练",
   "level": "l3"
  },
  "CAP_a01a9703": {
   "en": "Scene Coordinate Regression",
   "zh": "场景坐标回归网络",
   "level": "l3"
  },
  "CAP_a248009d": {
   "en": "DSAC Star Differentiable Ransac Scene Coordinate Regression",
   "zh": "DSAC*可微RANSAC场景坐标回归",
   "level": "l3"
  },
  "CAP_9a0eef99": {
   "en": "NeRF Representation Compression",
   "zh": "神经场场景表示",
   "level": "l3"
  },
  "CAP_9e536ad1": {
   "en": "Neural Field 3D Descriptor Matching And Coarse Localization",
   "zh": "神经场3D描述子匹配与粗定位",
   "level": "l3"
  },
  "CAP_ef678749": {
   "en": "Hierarchical Topometric Mapping",
   "zh": "层次化拓扑度量建图",
   "level": "l1"
  },
  "CAP_3930c243": {
   "en": "Metric Submap Construction",
   "zh": "局部度量子图构建",
   "level": "l2"
  },
  "CAP_290c8b3c": {
   "en": "Local Metric Grid Construction",
   "zh": "局部度量栅格构建",
   "level": "l3"
  },
  "CAP_42a1925a": {
   "en": "Within-Submap Local SLAM",
   "zh": "子图内局部 SLAM",
   "level": "l3"
  },
  "CAP_0e334b6a": {
   "en": "Submap-Node Association and Edge Transform",
   "zh": "子图-节点关联与边变换",
   "level": "l3"
  },
  "CAP_d460238e": {
   "en": "Hierarchical Global Planning",
   "zh": "分层全局规划",
   "level": "l2"
  },
  "CAP_21a65394": {
   "en": "Local Metric Execution",
   "zh": "局部度量执行",
   "level": "l2"
  },
  "CAP_762f18db": {
   "en": "Structure-Aware Localization",
   "zh": "结构感知定位",
   "level": "l3"
  },
  "CAP_9be77906": {
   "en": "Real-time 3D Scene Graph Construction & Reasoning",
   "zh": "实时 3D 场景图构建与任务推理",
   "level": "l1"
  },
  "CAP_a4c88692": {
   "en": "Metric Foundation",
   "zh": "几何与度量基础",
   "level": "l2"
  },
  "CAP_93ae7f0a": {
   "en": "Dense Reconstruction",
   "zh": "稠密重建",
   "level": "l3"
  },
  "CAP_2c8f6df5": {
   "en": "Hierarchical Node Extraction",
   "zh": "层级节点提取（place/room/object/part）",
   "level": "l2"
  },
  "CAP_d03ad3e4": {
   "en": "Semantic Mesh Object Node Extraction",
   "zh": "语义 mesh 物体节点提取",
   "level": "l3"
  },
  "CAP_da8bfacd": {
   "en": "Part Subdivision",
   "zh": "部件细分",
   "level": "l3"
  },
  "CAP_d61d831f": {
   "en": "Multi-View CLIP Feature Aggregation",
   "zh": "多视角 CLIP 特征聚合",
   "level": "l3"
  },
  "CAP_57e8c4ef": {
   "en": "LLM Node Caption Generation",
   "zh": "LLM 节点描述生成",
   "level": "l3"
  },
  "CAP_a03b4c6a": {
   "en": "Semantic Edge & Relation Construction",
   "zh": "语义边与关系构建",
   "level": "l2"
  },
  "CAP_e2b92dd3": {
   "en": "GPT-4 Relation Inference",
   "zh": "GPT-4 关系推理",
   "level": "l3"
  },
  "CAP_4b1970f7": {
   "en": "Scene Graph Places Layer Loop Closure",
   "zh": "场景图 places 层闭环",
   "level": "l3"
  },
  "CAP_0d17ea0e": {
   "en": "Task-level Graph Query Interface",
   "zh": "任务级图查询接口",
   "level": "l2"
  },
  "CAP_ce3a4c63": {
   "en": "Neural Implicit Hierarchical Map & Open-Vocab Embodied Navigation",
   "zh": "神经隐式层次地图与开放词汇具身导航",
   "level": "l1"
  },
  "CAP_3539e0c0": {
   "en": "Instant-NGP Hash-grid Field",
   "zh": "instant-NGP 哈希网格隐式场",
   "level": "l3"
  },
  "CAP_936cd36e": {
   "en": "3D Gaussian Splatting Base",
   "zh": "3D 高斯溅射底层",
   "level": "l3"
  },
  "CAP_d71e9e4c": {
   "en": "Open-Vocabulary Semantic Distillation",
   "zh": "开放词汇语义蒸馏",
   "level": "l2"
  },
  "CAP_656fbe25": {
   "en": "Dense CLIP Fusion",
   "zh": "稠密 CLIP 特征融合",
   "level": "l3"
  },
  "CAP_d8fab91f": {
   "en": "Weakly-Supervised Contrastive Field",
   "zh": "弱监督对比语义场",
   "level": "l3"
  },
  "CAP_dfa2f229": {
   "en": "Hierarchical Semantic Structure Extraction",
   "zh": "层级语义结构提取",
   "level": "l2"
  },
  "CAP_58962694": {
   "en": "Multi-Floor Height Histogram Segmentation",
   "zh": "多楼层高度直方图分割",
   "level": "l3"
  },
  "CAP_389e5300": {
   "en": "Object-Room Association",
   "zh": "物体-房间关联",
   "level": "l3"
  },
  "CAP_6a82a63d": {
   "en": "Language Query Localization & Navigation",
   "zh": "语言查询定位与导航",
   "level": "l2"
  },
  "CAP_35990948": {
   "en": "Language Query Encoding",
   "zh": "语言查询编码",
   "level": "l3"
  },
  "CAP_b18af88a": {
   "en": "Implicit-Field Similarity Retrieval",
   "zh": "隐式场相似度检索",
   "level": "l3"
  },
  "CAP_23c84805": {
   "en": "Nav2 Waypoint Dispatch",
   "zh": "Nav2 航点派发",
   "level": "l3"
  },
  "CAP_318962c3": {
   "en": "Multi-view Capture & Pose Estimation",
   "zh": "多视角采集与位姿估计",
   "level": "l3"
  },
  "CAP_72fbda6c": {
   "en": "Safe-Driving-Envelope Path Planning MPC",
   "zh": "安全驾驶包络路径规划MPC",
   "level": "l3"
  },
  "CAP_6dfab255": {
   "en": "Multi-Layer Constraint Tightening Co-Design",
   "zh": "多层约束紧化协同设计",
   "level": "l3"
  },
  "CAP_9712ba58": {
   "en": "Whole-Body Joint-Space MPC",
   "zh": "全身关节空间MPC",
   "level": "l3"
  },
  "CAP_a1685acc": {
   "en": "MI-Based Unsupervised Skill Discovery",
   "zh": "互信息驱动的无监督技能发现",
   "level": "l2"
  },
  "CAP_8a59254e": {
   "en": "Stochastic Latent Prior Sampling",
   "zh": "随机技能隐变量先验采样",
   "level": "l3"
  },
  "CAP_494449a3": {
   "en": "DIAYN Discriminator Training",
   "zh": "DIAYN 技能判别器训练",
   "level": "l3"
  },
  "CAP_f35b55e8": {
   "en": "Maximum Entropy Skill Policy",
   "zh": "最大熵技能策略训练",
   "level": "l3"
  },
  "CAP_17e9a44b": {
   "en": "DIAYN Skill Discovery",
   "zh": "DIAYN 技能发现",
   "level": "l3"
  },
  "CAP_c0adb90b": {
   "en": "Skill-Space Zero-Shot Planning",
   "zh": "技能空间零样本规划",
   "level": "l3"
  },
  "CAP_8d6c2a75": {
   "en": "Offline Trajectory-VAE Skill Extraction",
   "zh": "离线轨迹 VAE 与对比技能发现",
   "level": "l2"
  },
  "CAP_5fc1b331": {
   "en": "Contrastive Skill Discriminator (CIC)",
   "zh": "对比技能判别器训练",
   "level": "l3"
  },
  "CAP_c4665a24": {
   "en": "Particle-based State Entropy Estimation",
   "zh": "粒子法状态熵估计",
   "level": "l3"
  },
  "CAP_98b8de17": {
   "en": "Offline Skill Composition and Finetune",
   "zh": "离线技能组合与下游微调",
   "level": "l3"
  },
  "CAP_d20b58be": {
   "en": "Offline Trajectory Data Loading",
   "zh": "离线轨迹数据集加载",
   "level": "l3"
  },
  "CAP_1f3fd0a8": {
   "en": "Language-Anchored Skill Composition",
   "zh": "语言锚定的技能组合",
   "level": "l2"
  },
  "CAP_779591bb": {
   "en": "Language-Conditioned Skill Grounding",
   "zh": "语言条件技能接地",
   "level": "l3"
  },
  "CAP_edd67d4a": {
   "en": "LLM-Driven Code-Based Skill Library and Lifelong Learning",
   "zh": "LLM驱动代码式技能库与终身学习",
   "level": "l2"
  },
  "CAP_10b92cae": {
   "en": "Skill Embedding Indexing and Retrieval",
   "zh": "技能嵌入索引与向量检索",
   "level": "l3"
  },
  "CAP_bfc203cf": {
   "en": "Task State Textualization",
   "zh": "任务状态文本化",
   "level": "l3"
  },
  "CAP_4fa3b7f9": {
   "en": "LLM Semantic-Driven Skill Library Retrieval and Closed-Loop Execution",
   "zh": "LLM语义驱动技能库检索与闭环执行",
   "level": "l2"
  },
  "CAP_da386c32": {
   "en": "Modular Skill Scheduling",
   "zh": "模块化技能调度",
   "level": "l3"
  },
  "CAP_c33dc6bc": {
   "en": "Skill Graph Modeling and Structured Composition",
   "zh": "技能关系图建模与结构化组合",
   "level": "l2"
  },
  "CAP_26837bf3": {
   "en": "Skill Graph Construction and Initialization",
   "zh": "技能图构建与初始化",
   "level": "l3"
  },
  "CAP_22b9f3ff": {
   "en": "Graph-Aware Skill Retrieval",
   "zh": "图感知技能检索",
   "level": "l3"
  },
  "CAP_d9fbaebf": {
   "en": "Local Repair and Replanning",
   "zh": "局部修复与重规划",
   "level": "l3"
  },
  "CAP_cbc90576": {
   "en": "Parametric Skill Composition in Parameter Space",
   "zh": "参数空间技能组合",
   "level": "l3"
  },
  "CAP_e9ba48dc": {
   "en": "Scene Graph-Aware Skill Learning",
   "zh": "场景图感知技能学习",
   "level": "l3"
  },
  "CAP_0baadf05": {
   "en": "Skill Graph Closed-Loop Evolution",
   "zh": "技能图闭环演化",
   "level": "l3"
  },
  "CAP_57aef83c": {
   "en": "Skill Sequence Execution Orchestration",
   "zh": "技能序列执行编排",
   "level": "l3"
  },
  "CAP_ad5eefbc": {
   "en": "Hierarchical State Machine Behavior Orchestration",
   "zh": "层次状态机行为编排",
   "level": "l2"
  },
  "CAP_d78dcec1": {
   "en": "Hybrid Reactive Execution Layer",
   "zh": "混合反应执行层",
   "level": "l2"
  },
  "CAP_3d23f703": {
   "en": "Symbolic Task Planner Invocation",
   "zh": "符号规划器调用",
   "level": "l3"
  },
  "CAP_5fad20a5": {
   "en": "Hierarchical State Machine Execution",
   "zh": "层次状态机执行",
   "level": "l3"
  },
  "CAP_44293f38": {
   "en": "Reactive Skill Primitive Execution",
   "zh": "反应式技能原语执行",
   "level": "l3"
  },
  "CAP_9ee538b9": {
   "en": "Semantic Knowledge Reasoning",
   "zh": "语义知识推理",
   "level": "l3"
  },
  "CAP_c2b86a8a": {
   "en": "Offline Skill Prior Modeling",
   "zh": "离线技能先验建模",
   "level": "l3"
  },
  "CAP_39ad90e8": {
   "en": "Option Selection & Termination",
   "zh": "Option选择与终止",
   "level": "l3"
  },
  "CAP_45bfeb29": {
   "en": "Conditional Skill Policy Execution",
   "zh": "条件技能策略执行",
   "level": "l3"
  },
  "CAP_9232ab8d": {
   "en": "Cross-Level Credit Assignment",
   "zh": "跨层级信用分配",
   "level": "l3"
  },
  "CAP_bd622cf5": {
   "en": "Language-Grounded Task Decomposition",
   "zh": "语言接地任务分解",
   "level": "l3"
  },
  "CAP_6697537b": {
   "en": "Affordance Score Computation",
   "zh": "Affordance评分计算",
   "level": "l3"
  },
  "CAP_c09f92df": {
   "en": "Skill Control Code Synthesis",
   "zh": "技能控制代码合成",
   "level": "l3"
  },
  "CAP_55445b63": {
   "en": "Closed-Loop Language Replanning",
   "zh": "闭环语言重规划",
   "level": "l3"
  },
  "CAP_5fca5cbf": {
   "en": "Skill Library Accumulation",
   "zh": "技能库积累",
   "level": "l3"
  },
  "CAP_af58c6a3": {
   "en": "Task Object and Stage Tree Initialization",
   "zh": "任务对象与Stage树初始化",
   "level": "l3"
  },
  "CAP_0b5ab7b1": {
   "en": "Generator Stage Composition",
   "zh": "生成型Stage组合",
   "level": "l3"
  },
  "CAP_c03ae83a": {
   "en": "Propagator Stage Composition",
   "zh": "传播型Stage组合",
   "level": "l3"
  },
  "CAP_b8c06ecf": {
   "en": "Connector Stage Composition",
   "zh": "连接型Stage组合",
   "level": "l3"
  },
  "CAP_217a4a54": {
   "en": "Hierarchical Stage Planning and Solution Synthesis",
   "zh": "层次化Stage求解与方案合成",
   "level": "l2"
  },
  "CAP_95f376e0": {
   "en": "Stage Solution and Execution",
   "zh": "Stage求解执行",
   "level": "l3"
  },
  "CAP_94509cc6": {
   "en": "Stage-Stage Constraint Propagation via InterfaceState",
   "zh": "InterfaceState约束传递",
   "level": "l3"
  },
  "CAP_dab73a34": {
   "en": "Stage Execution and Constraint Monitoring",
   "zh": "Stage执行与约束监控",
   "level": "l2"
  },
  "CAP_42f5e7dc": {
   "en": "TAMP Plan Execution",
   "zh": "TAMP计划执行",
   "level": "l3"
  },
  "CAP_c46c2526": {
   "en": "PlanningScene Execution Monitoring",
   "zh": "PlanningScene执行监控",
   "level": "l3"
  },
  "CAP_2ebac91e": {
   "en": "Failure-Driven Replan Trigger",
   "zh": "失败驱动重规划触发",
   "level": "l3"
  },
  "CAP_196acd71": {
   "en": "Hybrid Deliberative Planning Layer",
   "zh": "混合慎思规划层",
   "level": "l2"
  },
  "CAP_80b1c965": {
   "en": "Symbolic World Model Construction",
   "zh": "符号世界模型构建",
   "level": "l3"
  },
  "CAP_a6deba77": {
   "en": "Plan Dispatch to Sequencing Layer",
   "zh": "计划下发到Sequencing层",
   "level": "l3"
  },
  "CAP_c07fb932": {
   "en": "Hybrid Sequencing Coordination Layer",
   "zh": "混合时序编排层",
   "level": "l2"
  },
  "CAP_1b768e70": {
   "en": "RAPs-based Skill Decomposition",
   "zh": "基于RAPs的技能分解",
   "level": "l3"
  },
  "CAP_a4c6bb2a": {
   "en": "Skill Execution and Monitoring",
   "zh": "技能执行与监控",
   "level": "l3"
  },
  "CAP_4907e275": {
   "en": "Failure Detection and Retry",
   "zh": "失败检测与重试",
   "level": "l3"
  },
  "CAP_e95fa2de": {
   "en": "Execution Feedback to Deliberative",
   "zh": "执行反馈到Deliberative层",
   "level": "l3"
  },
  "CAP_e96d482f": {
   "en": "Cross-Layer Constraint Feedback",
   "zh": "跨层约束反馈",
   "level": "l3"
  },
  "CAP_f85fd99e": {
   "en": "Reactive Skill Execution Layer",
   "zh": "反应式技能执行层",
   "level": "l2"
  },
  "CAP_39523ac4": {
   "en": "Skill Command Reception",
   "zh": "技能指令接收",
   "level": "l3"
  },
  "CAP_4746dd02": {
   "en": "Reactive Motion Execution",
   "zh": "反应式运动执行",
   "level": "l3"
  },
  "CAP_b77dfa18": {
   "en": "Execution Status Return and Constraint Feedback",
   "zh": "执行状态返回与约束反馈",
   "level": "l3"
  },
  "CAP_d8a103b1": {
   "en": "LLM VLM Prompt Construction",
   "zh": "LLM/VLM提示词构造",
   "level": "l3"
  },
  "CAP_08beff4d": {
   "en": "Open-World Constraint Generation",
   "zh": "开放世界约束生成",
   "level": "l3"
  },
  "CAP_af099706": {
   "en": "Subgoal Parsing to TAMP Format",
   "zh": "子目标解析为TAMP格式",
   "level": "l3"
  },
  "CAP_16d2bae7": {
   "en": "LLM-Guided Hierarchical TAMP Synthesis",
   "zh": "LLM引导层次化TAMP求解",
   "level": "l2"
  },
  "CAP_0653fb8c": {
   "en": "Neural Object Descriptor-based TAMP",
   "zh": "神经对象描述符TAMP",
   "level": "l3"
  },
  "CAP_64f8119f": {
   "en": "TAMP Feasibility Verification",
   "zh": "TAMP可行性验证",
   "level": "l3"
  },
  "CAP_07e3c59c": {
   "en": "Motion Plan Execution",
   "zh": "运动计划执行",
   "level": "l3"
  },
  "CAP_fc04584c": {
   "en": "Execution Failure Detection",
   "zh": "执行失败检测",
   "level": "l3"
  },
  "CAP_8a0ce10d": {
   "en": "LLM VLM Failure Reasoning and Replanning",
   "zh": "LLM/VLM失败推理与重规划",
   "level": "l3"
  },
  "CAP_101dcf60": {
   "en": "Compound Task Method Matching",
   "zh": "复合任务方法匹配",
   "level": "l3"
  },
  "CAP_c7019aa5": {
   "en": "Recursive DFS Decomposition",
   "zh": "递归分解与深度优先搜索",
   "level": "l3"
  },
  "CAP_43e8b32e": {
   "en": "HTN Initial Task Network Instantiation",
   "zh": "HTN 初始任务网络实例化",
   "level": "l3"
  },
  "CAP_94f4c12f": {
   "en": "HTN Plan Generation",
   "zh": "HTN 规划生成",
   "level": "l3"
  },
  "CAP_62c731d1": {
   "en": "LLM-Augmented HTN Planning",
   "zh": "LLM 增强 HTN 规划",
   "level": "l2"
  },
  "CAP_63278b60": {
   "en": "LLM-driven HTN Method Generation",
   "zh": "LLM 驱动的 HTN 方法生成",
   "level": "l3"
  },
  "CAP_f9e35213": {
   "en": "LLM-generated HTN Search Heuristic",
   "zh": "LLM 生成 HTN 搜索启发式",
   "level": "l3"
  },
  "CAP_922d9e0d": {
   "en": "HTN Online Method Learning",
   "zh": "HTN 在线方法学习",
   "level": "l3"
  },
  "CAP_693b10d2": {
   "en": "HTN Replanning from the Middle",
   "zh": "HTN 中间重规划",
   "level": "l3"
  },
  "CAP_534c2bbe": {
   "en": "Hierarchical Scene Graph Topological Mapping",
   "zh": "分层3D场景图Places拓扑层建图",
   "level": "l2"
  },
  "CAP_5f3de912": {
   "en": "Buildings Layer Aggregation and DSG Assembly",
   "zh": "Buildings 层聚合与 DSG 装配",
   "level": "l3"
  },
  "CAP_0a8a564b": {
   "en": "Building Aggregation and Inter-layer Edge Construction",
   "zh": "建筑聚合与层间边构建",
   "level": "l3"
  },
  "CAP_684d3f89": {
   "en": "Graph Reasoning and Localization Navigation",
   "zh": "图推理与定位导航",
   "level": "l2"
  },
  "CAP_fda7a1de": {
   "en": "3D Scene Representation Building",
   "zh": "3D场景表示构建",
   "level": "l3"
  },
  "CAP_76036aa3": {
   "en": "GVD Places Layer Extraction",
   "zh": "场所层拓扑图提取",
   "level": "l3"
  },
  "CAP_79c4ab53": {
   "en": "Room Segmentation Community Detection",
   "zh": "房间分割（社区发现）",
   "level": "l3"
  },
  "CAP_f9f978dd": {
   "en": "Vision-Language Map Construction",
   "zh": "视觉-语言地图构建",
   "level": "l3"
  },
  "CAP_2ca94540": {
   "en": "Open-Vocabulary Landmark Indexing",
   "zh": "开放词汇地标索引",
   "level": "l3"
  },
  "CAP_e3e054df": {
   "en": "Scene Graph Relation Edge Generation",
   "zh": "场景图关系边生成",
   "level": "l3"
  },
  "CAP_32103cc3": {
   "en": "VLA End-to-End Task Planning",
   "zh": "视觉-语言-动作端到端任务规划",
   "level": "l2"
  },
  "CAP_a694a581": {
   "en": "High-Level Text Plan Sequencing",
   "zh": "高层文本计划序列生成",
   "level": "l3"
  },
  "CAP_a47c2fe7": {
   "en": "High-Speed Visual-Servo Dynamic Grasping",
   "zh": "高速视觉伺服动态抓取",
   "level": "l2"
  },
  "CAP_a64d16d7": {
   "en": "High-Speed Perception and State Estimation",
   "zh": "高速感知与目标状态估计",
   "level": "l2"
  },
  "CAP_554dc2f0": {
   "en": "Dynamic Target Trajectory Prediction",
   "zh": "动态目标轨迹预测",
   "level": "l2"
  },
  "CAP_e6a0378b": {
   "en": "Visual-Servo Grasp Control",
   "zh": "视觉伺服抓取控制",
   "level": "l2"
  },
  "CAP_c8210e48": {
   "en": "High-Bandwidth Grasp Actuation",
   "zh": "高带宽抓取执行",
   "level": "l2"
  },
  "CAP_75ec8e10": {
   "en": "High-Speed Image-Event Acquisition",
   "zh": "高速图像/事件采集",
   "level": "l3"
  },
  "CAP_4a164032": {
   "en": "High-Speed Visual Feature Extraction",
   "zh": "高速视觉特征提取与状态估计",
   "level": "l3"
  },
  "CAP_6c613901": {
   "en": "Dynamic-Compensation Grasp Alignment",
   "zh": "动态补偿抓取对准",
   "level": "l3"
  },
  "CAP_24c9c123": {
   "en": "Real-Time Joint Servo",
   "zh": "实时关节伺服",
   "level": "l3"
  },
  "CAP_37bcfdeb": {
   "en": "High-Bandwidth End-Effector Grasp",
   "zh": "高带宽末端抓取动作",
   "level": "l3"
  },
  "CAP_010e07d7": {
   "en": "Residual-Physics Dynamic Throwing",
   "zh": "残差物理动态投掷",
   "level": "l2"
  },
  "CAP_fb3f591f": {
   "en": "Grasp Affordance Prediction for Throwing",
   "zh": "投掷抓取可抓性预测",
   "level": "l3"
  },
  "CAP_65cdb7b9": {
   "en": "Ballistic Release Velocity Estimation",
   "zh": "弹道释放速度估计",
   "level": "l3"
  },
  "CAP_e72b8fae": {
   "en": "Throwing Residual Velocity Learning",
   "zh": "投掷残差速度学习",
   "level": "l3"
  },
  "CAP_f492243e": {
   "en": "Joint Grasp-Throw Self-Supervised Training",
   "zh": "抓取-投掷联合自监督训练",
   "level": "l3"
  },
  "CAP_4acea17b": {
   "en": "Self-Supervised Trial-and-Error Labeling",
   "zh": "自监督试错标签生成",
   "level": "l3"
  },
  "CAP_6137e307": {
   "en": "Throwing Motion Primitive Execution",
   "zh": "投掷动作原语执行",
   "level": "l3"
  },
  "CAP_665fb743": {
   "en": "Whole-Body Catch-and-Throw Policy",
   "zh": "全身接抛策略",
   "level": "l3"
  },
  "CAP_7e704fda": {
   "en": "Dynamic Aerial Object Trajectory Prediction",
   "zh": "飞行物体轨迹预测",
   "level": "l3"
  },
  "CAP_32a4f40a": {
   "en": "Whole-Body Contact-Rich MPC Planning",
   "zh": "全身接触富 MPC 规划",
   "level": "l2"
  },
  "CAP_0d59ec96": {
   "en": "Centroidal-Object Augmented Dynamics Modeling",
   "zh": "质心-物体增广动力学建模",
   "level": "l3"
  },
  "CAP_69ca0ffb": {
   "en": "Switched-System Contact Mode Scheduling",
   "zh": "切换系统接触模式调度",
   "level": "l3"
  },
  "CAP_b479af16": {
   "en": "Augmented-Lagrangian SLQ-MPC Solve",
   "zh": "增广拉格朗日 SLQ-MPC 求解",
   "level": "l3"
  },
  "CAP_f24e0d17": {
   "en": "Whole-Body Control Torque Allocation",
   "zh": "全身控制力矩分配",
   "level": "l2"
  },
  "CAP_b0080a75": {
   "en": "Real-Time Execution & Replanning Loop",
   "zh": "实时执行与重规划闭环",
   "level": "l2"
  },
  "CAP_15b6092d": {
   "en": "High-Frequency Joint Torque Execution",
   "zh": "高频关节力矩执行",
   "level": "l3"
  },
  "CAP_bf19c075": {
   "en": "Disturbance-Driven Replanning",
   "zh": "扰动驱动实时重规划",
   "level": "l3"
  },
  "CAP_ddc168ea": {
   "en": "AV Sensor Fusion Fault Injection",
   "zh": "自动驾驶域控制器传感器融合故障注入",
   "level": "l2"
  },
  "CAP_586b9520": {
   "en": "Fault Modeling",
   "zh": "故障建模",
   "level": "l2"
  },
  "CAP_8a2ad2cb": {
   "en": "Sensor Fault Type Classification",
   "zh": "传感器故障类型分类",
   "level": "l3"
  },
  "CAP_f98ede78": {
   "en": "Closed-loop Simulation and Safety Evaluation",
   "zh": "闭环仿真与安全评估",
   "level": "l2"
  },
  "CAP_2a896d47": {
   "en": "Feedback-guided Fault Search",
   "zh": "反馈引导故障搜索",
   "level": "l2"
  },
  "CAP_9d017603": {
   "en": "Driving-Quality-Guided Fuzzing",
   "zh": "驾驶质量引导模糊测试",
   "level": "l3"
  },
  "CAP_ebb4a908": {
   "en": "Safety-Potential Fitness Search",
   "zh": "安全潜力适应度搜索",
   "level": "l3"
  },
  "CAP_554ea71d": {
   "en": "Bayesian Fault Injection Search",
   "zh": "贝叶斯故障注入搜索",
   "level": "l3"
  },
  "CAP_554fa916": {
   "en": "Safety Degradation Verification",
   "zh": "安全降级验证",
   "level": "l3"
  },
  "CAP_e292143b": {
   "en": "Safety Degradation Verification (MRM)",
   "zh": "安全降级验证(MRM)",
   "level": "l3"
  },
  "CAP_f5a24e04": {
   "en": "Robot Actuator HIL Fault Injection",
   "zh": "机器人关节执行器硬件在环故障注入验证",
   "level": "l2"
  },
  "CAP_49ddca98": {
   "en": "Actuator Electrical Fault Injection via FIU",
   "zh": "基于FIU的执行器电气故障注入",
   "level": "l3"
  },
  "CAP_973bce4e": {
   "en": "Motor Drive Fault Scenario Generation",
   "zh": "电机驱动故障场景生成",
   "level": "l3"
  },
  "CAP_d6f69e77": {
   "en": "Control-Level Fault Injection",
   "zh": "控制级与参数故障注入",
   "level": "l3"
  },
  "CAP_24dcbf74": {
   "en": "Actuator Fault Detection and Isolation",
   "zh": "执行器故障检测与隔离",
   "level": "l3"
  },
  "CAP_346d5137": {
   "en": "Fault-Tolerant Control Reconfiguration",
   "zh": "容错控制重配置",
   "level": "l3"
  },
  "CAP_80aa3c69": {
   "en": "Fault Detection Window and Recovery Verification",
   "zh": "故障检测窗口与恢复判定",
   "level": "l3"
  },
  "CAP_bf4b0b27": {
   "en": "Embodied AI Policy-level Adversarial Fault Injection",
   "zh": "具身智能策略级对抗性故障注入",
   "level": "l2"
  },
  "CAP_9f3c5dca": {
   "en": "Embodied Task Scenario Definition",
   "zh": "具身任务场景定义",
   "level": "l3"
  },
  "CAP_26db6c63": {
   "en": "Fault Injection Axis Selection",
   "zh": "故障注入轴向选择",
   "level": "l3"
  },
  "CAP_a92efe99": {
   "en": "Adversarial Perturbation Synthesis",
   "zh": "对抗故障扰动合成",
   "level": "l2"
  },
  "CAP_ee1945f4": {
   "en": "RL-based Environment Perturbation (RoboFail)",
   "zh": "基于强化学习的环境扰动合成",
   "level": "l3"
  },
  "CAP_33e96e9a": {
   "en": "Linguistic Red-Teaming Instruction Rewrite",
   "zh": "语言红队指令重写",
   "level": "l3"
  },
  "CAP_0a054fef": {
   "en": "Physical Adversarial Patch Generation",
   "zh": "物理对抗补丁生成",
   "level": "l3"
  },
  "CAP_ed7a40e2": {
   "en": "Risk Scenario Synthesis (RedVLA)",
   "zh": "风险场景合成(RedVLA)",
   "level": "l3"
  },
  "CAP_3ef19372": {
   "en": "Perturbation Injection In Simulation Loop",
   "zh": "仿真回路扰动注入",
   "level": "l3"
  },
  "CAP_0f084b20": {
   "en": "Failure Detection And Safety Metric",
   "zh": "失败检测与安全度量",
   "level": "l2"
  },
  "CAP_f0a19f85": {
   "en": "Attack Success Rate Computation",
   "zh": "攻击成功率计算",
   "level": "l3"
  },
  "CAP_36548f62": {
   "en": "Action Consistency Computation",
   "zh": "动作一致性计算",
   "level": "l3"
  },
  "CAP_49d86fe8": {
   "en": "Latent OOD Failure Detection",
   "zh": "潜特征分布外失败检测",
   "level": "l3"
  },
  "CAP_72e60486": {
   "en": "Coverage-Driven Test Selection",
   "zh": "覆盖驱动测试选择",
   "level": "l3"
  },
  "CAP_1795d1b4": {
   "en": "Golden-Trace Tolerance Verification",
   "zh": "黄金轨迹容差验证",
   "level": "l3"
  },
  "CAP_fa059bf3": {
   "en": "Robot Joint HIL Test Asset And Model Prep",
   "zh": "机器人关节 HIL 测试资产与模型准备",
   "level": "l2"
  },
  "CAP_817d356f": {
   "en": "Robot Joint HIL Closed-Loop Test Execution",
   "zh": "机器人关节 HIL 闭环测试执行",
   "level": "l2"
  },
  "CAP_fb99f1ac": {
   "en": "HIL Fault Injection And Result Evaluation",
   "zh": "HIL 故障注入与结果判定",
   "level": "l2"
  },
  "CAP_bff0a184": {
   "en": "HIL Regression CI And Evidence",
   "zh": "HIL 回归测试、CI 编排与证据打包",
   "level": "l2"
  },
  "CAP_3eb66412": {
   "en": "Embodied Manipulation HIL Automated Evaluation",
   "zh": "具身操作技能 HIL 自动化评估",
   "level": "l2"
  },
  "CAP_a3ec3ad4": {
   "en": "Parallel Simulation Rollout",
   "zh": "并行仿真执行",
   "level": "l2"
  },
  "CAP_2bb3256b": {
   "en": "Procedural Scene Generation DR",
   "zh": "程序化场景实例化",
   "level": "l3"
  },
  "CAP_5e1ae465": {
   "en": "Multimodal Success Detection for Robot Execution",
   "zh": "符号化成功检测",
   "level": "l3"
  },
  "CAP_e4740258": {
   "en": "Automated Red-Teaming Adversarial Evaluation",
   "zh": "自动化指标与回归",
   "level": "l2"
  },
  "CAP_1ce59b08": {
   "en": "ROS2 QoS Policy Knowledge and Preset Profile Selection",
   "zh": "ROS2 QoS 策略知识与预设 Profile 选型",
   "level": "l3"
  },
  "CAP_75412957": {
   "en": "QoS Profile Fluent Construction",
   "zh": "QoS Profile 流式构造",
   "level": "l3"
  },
  "CAP_357ab991": {
   "en": "rclcpp/rclpy Language Wrapper",
   "zh": "rclcpp/rclpy 语言封装",
   "level": "l3"
  },
  "CAP_8079e26c": {
   "en": "ROS2 QoS Introspection and Diagnosis",
   "zh": "ROS2 QoS 内省与诊断",
   "level": "l3"
  },
  "CAP_334e18df": {
   "en": "Fast DDS historyQos XML Configuration",
   "zh": "Fast DDS historyQos XML 配置",
   "level": "l3"
  },
  "CAP_b54dd7cb": {
   "en": "Cyclone DDS / RTI Connext History Configuration",
   "zh": "Cyclone DDS / RTI Connext History 配置",
   "level": "l3"
  },
  "CAP_d05c5a5c": {
   "en": "DDS XML Profile Loading and Validation",
   "zh": "DDS XML Profile 加载与验证",
   "level": "l3"
  },
  "CAP_f0a25685": {
   "en": "DDS XML Profile History Depth Verification",
   "zh": "DDS XML Profile history depth 效果验证",
   "level": "l3"
  },
  "CAP_be8c4df0": {
   "en": "Resource Metrics Pipeline",
   "zh": "资源指标管道",
   "level": "l2"
  },
  "CAP_b6dae15d": {
   "en": "Business Metric Exposition",
   "zh": "业务指标暴露",
   "level": "l2"
  },
  "CAP_568cb5bd": {
   "en": "Prometheus Adapter Rule Configuration",
   "zh": "Prometheus 指标转换规则配置",
   "level": "l3"
  },
  "CAP_95f92512": {
   "en": "Cartesian Impedance Param Config",
   "zh": "笛卡尔阻抗参数配置与重力补偿",
   "level": "l3"
  },
  "CAP_0a7e8cff": {
   "en": "Joint Torque External Force Est",
   "zh": "关节力矩传感与外力和矩估计",
   "level": "l3"
  },
  "CAP_f512f144": {
   "en": "Cartesian Impedance Law Exec",
   "zh": "笛卡尔阻抗控制律执行与下发",
   "level": "l3"
  },
  "CAP_973c60fb": {
   "en": "Interaction Force Safety",
   "zh": "交互力安全监控与停止",
   "level": "l3"
  },
  "CAP_eaf3d160": {
   "en": "Passivity Stability Assurance",
   "zh": "被动性/稳定性保障",
   "level": "l3"
  },
  "CAP_b7fa6929": {
   "en": "Operational Mode Switch",
   "zh": "操作模式切换",
   "level": "l3"
  },
  "CAP_32eee782": {
   "en": "Admittance Param Config",
   "zh": "导纳参数配置",
   "level": "l3"
  },
  "CAP_b54f198c": {
   "en": "F/T Sensor Acq and Filter",
   "zh": "F/T 传感器校准与滤波",
   "level": "l3"
  },
  "CAP_f6d8e1f3": {
   "en": "Admittance Law Exec",
   "zh": "导纳控制律执行与位置跟踪",
   "level": "l3"
  },
  "CAP_40674674": {
   "en": "Force Control Safety",
   "zh": "力控安全监控与限幅",
   "level": "l3"
  },
  "CAP_60a2155f": {
   "en": "Admittance Stability",
   "zh": "导纳控制稳定性保障",
   "level": "l3"
  },
  "CAP_2c3cba9c": {
   "en": "Variable Admittance Adapt",
   "zh": "变导纳参数调整",
   "level": "l3"
  },
  "CAP_8be62895": {
   "en": "Demonstration Data Collection",
   "zh": "示教数据采集与预处理",
   "level": "l3"
  },
  "CAP_f208121d": {
   "en": "RL Compliance Policy Train",
   "zh": "RL 柔顺策略训练与部署",
   "level": "l3"
  },
  "CAP_617e4703": {
   "en": "DMP Variable Impedance",
   "zh": "DMP 变阻抗轮廓编码与泛化",
   "level": "l3"
  },
  "CAP_c84b9a7c": {
   "en": "Bayesian Opt Tuning",
   "zh": "贝叶斯优化阻抗参数调优",
   "level": "l3"
  },
  "CAP_0865aaf9": {
   "en": "Online Adaptation Safety",
   "zh": "在线适配安全监控与回退",
   "level": "l3"
  },
  "CAP_f939e0f4": {
   "en": "Push-Reflex Balance Recovery",
   "zh": "推扰反射平衡恢复",
   "level": "l2"
  },
  "CAP_3eb7a0ce": {
   "en": "CoM/DCM Trajectory Generation",
   "zh": "质心/DCM 参考轨迹生成",
   "level": "l3"
  },
  "CAP_50bee6b4": {
   "en": "Ankle-Hip-Stepping Strategy Integration",
   "zh": "踝/髋/跨步策略集成",
   "level": "l3"
  },
  "CAP_ea5075e1": {
   "en": "Disturbance Observer and State Estimation",
   "zh": "扰动观测器与状态估计",
   "level": "l3"
  },
  "CAP_7cd24a6f": {
   "en": "Humanoid Simulation Environment Setup",
   "zh": "人形机器人仿真环境配置",
   "level": "l3"
  },
  "CAP_473dd5f3": {
   "en": "Multi-Critic Optimization",
   "zh": "多 Critic 优化",
   "level": "l3"
  },
  "CAP_52cd286f": {
   "en": "Exploration Assist Mechanism",
   "zh": "探索辅助机制",
   "level": "l3"
  },
  "CAP_c5ef201b": {
   "en": "Action Scaling and Smoothing Regularization",
   "zh": "动作缩放与平滑正则化",
   "level": "l3"
  },
  "CAP_75828020": {
   "en": "Teacher Policy Export",
   "zh": "教师策略导出",
   "level": "l3"
  },
  "CAP_77948b58": {
   "en": "Student Policy Distillation",
   "zh": "学生策略蒸馏",
   "level": "l2"
  },
  "CAP_1205c3a8": {
   "en": "Student Architecture Selection",
   "zh": "学生架构选择",
   "level": "l3"
  },
  "CAP_8ce49e32": {
   "en": "Policy JIT Compilation and Export",
   "zh": "策略 JIT 编译与导出",
   "level": "l3"
  },
  "CAP_d0e98ec6": {
   "en": "RL Policy Real-world Execution",
   "zh": "RL 策略真机执行",
   "level": "l2"
  },
  "CAP_eb47dea6": {
   "en": "Multi-modal Recovery with Latent Mode",
   "zh": "基于隐式模式的多模态恢复策略",
   "level": "l3"
  },
  "CAP_250418b3": {
   "en": "FloatingBaseDynamicsModeling",
   "zh": "浮动基动力学建模",
   "level": "l3"
  },
  "CAP_53003eb1": {
   "en": "JointTorqueInverseDynamics",
   "zh": "关节力矩逆动力学",
   "level": "l3"
  },
  "CAP_5edc1472": {
   "en": "AdmittanceImpedanceCompensation",
   "zh": "导纳/阻抗补偿",
   "level": "l3"
  },
  "CAP_6ef6c22a": {
   "en": "TorquePositionDispatch",
   "zh": "力矩位置指令分发",
   "level": "l3"
  },
  "CAP_4926b54a": {
   "en": "JointPDTrackingControl",
   "zh": "关节PD跟踪控制",
   "level": "l3"
  },
  "CAP_a50dff3a": {
   "en": "FallRiskThreshold",
   "zh": "跌倒风险阈值判定",
   "level": "l3"
  },
  "CAP_037f8fa8": {
   "en": "MPC-Balance-Controller",
   "zh": "MPC平衡控制器",
   "level": "l3"
  },
  "CAP_4a4a342f": {
   "en": "TriggerProtection",
   "zh": "触发保护",
   "level": "l3"
  },
  "CAP_b93ed33f": {
   "en": "Flip Motion Planning",
   "zh": "翻转运动规划",
   "level": "l2"
  },
  "CAP_e2143c3b": {
   "en": "Flip Tracking and Landing Control",
   "zh": "翻转跟踪与着陆控制",
   "level": "l2"
  },
  "CAP_2d7f002c": {
   "en": "Flip Motion Primitive Selection",
   "zh": "翻转运动原语选择",
   "level": "l3"
  },
  "CAP_d9487987": {
   "en": "Centroidal Trajectory Optimization",
   "zh": "质心动力学轨迹优化",
   "level": "l3"
  },
  "CAP_b0078c41": {
   "en": "Actuator-Aware Feasibility Check",
   "zh": "执行器感知可行性检查",
   "level": "l3"
  },
  "CAP_4c6f0a9c": {
   "en": "MPC Landing Tracking",
   "zh": "MPC着陆跟踪控制",
   "level": "l3"
  },
  "CAP_4c4ba925": {
   "en": "RL Flip Training Prep",
   "zh": "RL翻转训练准备",
   "level": "l2"
  },
  "CAP_bf2b6ba9": {
   "en": "RL Flip Sim2Real Deployment",
   "zh": "RL翻转Sim2Real部署",
   "level": "l2"
  },
  "CAP_797c34a3": {
   "en": "RL Simulation Environment Setup",
   "zh": "RL仿真环境构建",
   "level": "l3"
  },
  "CAP_92936832": {
   "en": "Sim2Sim Cross-Validation",
   "zh": "Sim2Sim跨仿真验证",
   "level": "l3"
  },
  "CAP_e70087d1": {
   "en": "Zero-Shot Sim2Real Deployment",
   "zh": "零样本Sim2Real部署",
   "level": "l3"
  },
  "CAP_e42d226b": {
   "en": "Teleoperation Data Collection Pipeline",
   "zh": "遥操作数据采集管线",
   "level": "l2"
  },
  "CAP_929a9ab4": {
   "en": "Visuomotor Policy Autonomous Execution",
   "zh": "视觉运动策略自主执行",
   "level": "l3"
  },
  "CAP_6b9edeae": {
   "en": "Bimanual Closed-Chain Kinematic Modeling",
   "zh": "双臂闭链约束运动学建模",
   "level": "l3"
  },
  "CAP_877953bc": {
   "en": "Bimanual Coordinated Motion Planning",
   "zh": "双臂协同运动规划",
   "level": "l3"
  },
  "CAP_20ee494e": {
   "en": "Multimodal Vision-Language Encoding",
   "zh": "多模态视觉语言编码",
   "level": "l3"
  },
  "CAP_56c7ec97": {
   "en": "Kinematic Modeling and Contact Planning",
   "zh": "运动学建模与接触规划",
   "level": "l2"
  },
  "CAP_2be8ef2e": {
   "en": "Full-Body Kinematic Modeling",
   "zh": "全身运动学建模",
   "level": "l3"
  },
  "CAP_c40dbf4f": {
   "en": "Trajectory Optimization and Full-Body Mapping",
   "zh": "轨迹优化与全身映射",
   "level": "l2"
  },
  "CAP_b7227381": {
   "en": "Centroidal Dynamics Trajectory Optimization",
   "zh": "质心动力学轨迹优化",
   "level": "l3"
  },
  "CAP_00f8b1b0": {
   "en": "Full-Body Kinematic Mapping",
   "zh": "全身运动学映射",
   "level": "l3"
  },
  "CAP_8e6740f3": {
   "en": "Collision Detection and Trajectory Post-processing",
   "zh": "碰撞检测与轨迹后处理",
   "level": "l2"
  },
  "CAP_504c48ad": {
   "en": "Collision Detection and Avoidance",
   "zh": "碰撞检测与回避",
   "level": "l3"
  },
  "CAP_2783381e": {
   "en": "Trajectory Parameterization and Smoothing",
   "zh": "轨迹参数化与平滑",
   "level": "l3"
  },
  "CAP_30c3c28a": {
   "en": "GPU Parallel Solving",
   "zh": "GPU 并行求解",
   "level": "l3"
  },
  "CAP_aff75f7b": {
   "en": "General Motion Retargeting (Human to Humanoid)",
   "zh": "通用运动重定向（人到人形机器人）",
   "level": "l3"
  },
  "CAP_40bcfa4a": {
   "en": "Policy Training and Distillation",
   "zh": "策略训练与蒸馏",
   "level": "l2"
  },
  "CAP_3a53eb64": {
   "en": "RL Teacher Policy Training",
   "zh": "RL教师策略训练",
   "level": "l3"
  },
  "CAP_835b42e7": {
   "en": "Policy Deployment and Online Execution",
   "zh": "策略部署与在线执行",
   "level": "l2"
  },
  "CAP_8779f8c9": {
   "en": "Multi-Mode Whole-Body Motion Inference",
   "zh": "多模式全身运动推理",
   "level": "l3"
  },
  "CAP_889da180": {
   "en": "TO Problem Formulation and Task Formalization",
   "zh": "TO问题构建与任务形式化",
   "level": "l3"
  },
  "CAP_f04b1567": {
   "en": "Reference Trajectory Augmentation and Dataset Construction",
   "zh": "参考轨迹增强与数据集构建",
   "level": "l2"
  },
  "CAP_78053183": {
   "en": "Reference Trajectory Extraction and Augmentation",
   "zh": "参考轨迹提取与增强",
   "level": "l3"
  },
  "CAP_7e1f2574": {
   "en": "Hybrid Dataset Construction",
   "zh": "混合数据集构建",
   "level": "l3"
  },
  "CAP_2c517b3f": {
   "en": "Sitting Posture Estimation",
   "zh": "坐姿状态估计",
   "level": "l2"
  },
  "CAP_bf9a57bf": {
   "en": "Optimal Control Trajectory Generation",
   "zh": "最优控制轨迹生成",
   "level": "l2"
  },
  "CAP_6b5804c1": {
   "en": "ZMP Stability Monitoring",
   "zh": "ZMP稳定性监控",
   "level": "l3"
  },
  "CAP_ddaadad9": {
   "en": "Sit-Stand Benchmarking Evaluation",
   "zh": "坐站Benchmarking评估",
   "level": "l3"
  },
  "CAP_7868c01d": {
   "en": "Multi-Critic Reinforcement Learning",
   "zh": "多评论家强化学习",
   "level": "l2"
  },
  "CAP_6051eb6e": {
   "en": "Real Robot Control Loop",
   "zh": "真机控制循环",
   "level": "l2"
  },
  "CAP_8fa332d6": {
   "en": "Three-Particle Model Construction",
   "zh": "三质点模型构建",
   "level": "l3"
  },
  "CAP_b3d4e5f6": {
   "en": "Initial Pose Randomization",
   "zh": "初始姿态随机化",
   "level": "l3"
  },
  "CAP_b5f6a7b8": {
   "en": "Multi-Critic Reward Design",
   "zh": "多评论家奖励设计",
   "level": "l3"
  },
  "CAP_15993484": {
   "en": "Onboard Policy Deployment",
   "zh": "机载策略部署",
   "level": "l3"
  },
  "CAP_c2e3f4a5": {
   "en": "Contact Management",
   "zh": "接触管理",
   "level": "l3"
  },
  "CAP_c6b7c8d9": {
   "en": "WBC Solve",
   "zh": "WBC求解",
   "level": "l3"
  },
  "CAP_d1e2f3a4": {
   "en": "Sit-Stand Benchmarking",
   "zh": "坐站Benchmarking",
   "level": "l2"
  },
  "CAP_7c67f2fc": {
   "en": "Torso Posture Regulation",
   "zh": "躯干姿态调节",
   "level": "l3"
  },
  "CAP_cacc1938": {
   "en": "Dual-Arm End-Effector Tracking",
   "zh": "双臂末端轨迹跟踪",
   "level": "l3"
  },
  "CAP_30047171": {
   "en": "Centroidal Momentum Balance Management",
   "zh": "质心/动量平衡管理",
   "level": "l3"
  },
  "CAP_22dd6de5": {
   "en": "Inverse-Dynamics Torque Recovery",
   "zh": "逆动力学力矩恢复",
   "level": "l3"
  },
  "CAP_53051358": {
   "en": "Upper-Body Multi-Contact Force Task",
   "zh": "上身多接触力任务",
   "level": "l3"
  },
  "CAP_6359afe8": {
   "en": "Learning-Driven Whole-Body Upper-Body Coordination",
   "zh": "学习驱动全身上身协调控制",
   "level": "l2"
  },
  "CAP_aabf5610": {
   "en": "Whole-Body Motion Tracking Policy",
   "zh": "全身运动跟踪策略",
   "level": "l3"
  },
  "CAP_9c4037d7": {
   "en": "Root Motion Tracking",
   "zh": "根运动跟踪",
   "level": "l3"
  },
  "CAP_17e08d90": {
   "en": "Closed-Loop Global Pose Correction",
   "zh": "闭环全局位姿校正",
   "level": "l3"
  },
  "CAP_031b35a1": {
   "en": "Unified Spring-Based Impedance Motion Tracking",
   "zh": "统一弹簧式阻抗运动跟踪",
   "level": "l3"
  },
  "CAP_834ea412": {
   "en": "Torque-Controlled Whole-Body Impedance",
   "zh": "扭矩控制全身阻抗",
   "level": "l3"
  },
  "CAP_c91a162b": {
   "en": "Bimanual Coordination and Fine Manipulation Training",
   "zh": "双臂协调与精细操作训练",
   "level": "l3"
  },
  "CAP_d62a3d27": {
   "en": "Floating-Base pHRI Impedance MPC",
   "zh": "浮动基物理人机交互阻抗 MPC",
   "level": "l3"
  },
  "CAP_4cb48f1e": {
   "en": "Safe Physical HRI Force Limiting (ISO/TS 15066)",
   "zh": "安全物理人机交互力限（ISO/TS 15066）",
   "level": "l3"
  },
  "CAP_8be0c576": {
   "en": "Online Dynamics Model Learning for Contact-Rich Manipulation",
   "zh": "接触丰富操作在线动力学学习",
   "level": "l3"
  },
  "CAP_26237fb5": {
   "en": "Trajectory Integration & Low-Level Servo",
   "zh": "轨迹积分与底层伺服",
   "level": "l3"
  },
  "CAP_10b716d9": {
   "en": "Mixed-Integer Footstep Planning",
   "zh": "混合整数落脚点规划",
   "level": "l3"
  },
  "CAP_ba403410": {
   "en": "Humanoid Joint Torque Dispatch",
   "zh": "人形关节力矩下发",
   "level": "l3"
  },
  "CAP_0865d671": {
   "en": "RL Sim-to-Real Walking",
   "zh": "强化学习仿真到真实行走控制",
   "level": "l2"
  },
  "CAP_b151eee6": {
   "en": "Parallel Sim Policy Training",
   "zh": "并行仿真策略训练",
   "level": "l2"
  },
  "CAP_84fe9881": {
   "en": "Massively Parallel Isaac Training",
   "zh": "大规模并行 Isaac 仿真训练",
   "level": "l3"
  },
  "CAP_7a441d8d": {
   "en": "Delta Action Model Alignment",
   "zh": "Delta 动作模型动力学对齐",
   "level": "l3"
  },
  "CAP_a41f7eed": {
   "en": "Humanoid-Gym Zero-Shot Framework",
   "zh": "Humanoid-Gym 零样本框架",
   "level": "l3"
  },
  "CAP_37940052": {
   "en": "Reference Motion Goal Extraction (Humanoid)",
   "zh": "参考运动目标提取",
   "level": "l3"
  },
  "CAP_1286de04": {
   "en": "Reference State Initialization (Motion Imitation)",
   "zh": "参考状态初始化",
   "level": "l3"
  },
  "CAP_3c42f317": {
   "en": "Phase-Aware Imitation Policy (Humanoid)",
   "zh": "相位感知模仿策略",
   "level": "l3"
  },
  "CAP_bfe31453": {
   "en": "Tracking Imitation Reward (Reference Motion)",
   "zh": "跟踪式模仿奖励",
   "level": "l3"
  },
  "CAP_21676920": {
   "en": "Adversarial Motion Prior",
   "zh": "对抗运动先验",
   "level": "l3"
  },
  "CAP_7f7125e1": {
   "en": "Adversarial Skill Embedding Learning",
   "zh": "对抗技能嵌入学习",
   "level": "l3"
  },
  "CAP_c7e25b46": {
   "en": "Decoupled Whole-Body Imitation Control (Humanoid)",
   "zh": "全身解耦模仿控制",
   "level": "l2"
  },
  "CAP_3e724701": {
   "en": "PD Low-Level Servo (Humanoid RL)",
   "zh": "PD 低层伺服",
   "level": "l3"
  },
  "CAP_922d525d": {
   "en": "Human Assist Request Trigger",
   "zh": "人工接管请求触发",
   "level": "l2"
  },
  "CAP_aa733bb2": {
   "en": "Recovery Confirmation and Autonomy Handback",
   "zh": "恢复确认与自主交还",
   "level": "l2"
  },
  "CAP_d1ea01b1": {
   "en": "Recovery Post-Validation",
   "zh": "恢复行为后验验证",
   "level": "l2"
  },
  "CAP_3c1a72a2": {
   "en": "Corrective Demonstration Data Integration",
   "zh": "纠正性演示数据整合",
   "level": "l2"
  },
  "CAP_e70f3a10": {
   "en": "Human-in-the-Loop RL with Corrective Feedback",
   "zh": "人类在环强化学习",
   "level": "l2"
  },
  "CAP_5bbaec66": {
   "en": "Intelligent Module Selector",
   "zh": "故障模块智能选择",
   "level": "l2"
  },
  "CAP_0a670a8f": {
   "en": "Query Decision and Intervention Cost Modeling",
   "zh": "查询决策与干预成本建模",
   "level": "l2"
  },
  "CAP_51cb80fc": {
   "en": "Adaptive Operator Allocation",
   "zh": "自适应操作员分配",
   "level": "l2"
  },
  "CAP_6a567f7d": {
   "en": "VLM Optimized Prompt Recovery",
   "zh": "VLM 优化提示故障恢复",
   "level": "l2"
  },
  "CAP_57131ea9": {
   "en": "Online Trust Inference and Model Update",
   "zh": "在线信任推理与模型更新",
   "level": "l2"
  },
  "CAP_945437e6": {
   "en": "Autonomous Recovery Behavior Execution",
   "zh": "自主恢复行为执行",
   "level": "l3"
  },
  "CAP_0b791211": {
   "en": "Recovery Exhaustion Decision",
   "zh": "自主恢复耗尽判定",
   "level": "l3"
  },
  "CAP_03302c86": {
   "en": "Autonomous Recovery Success Continue",
   "zh": "自主恢复成功继续",
   "level": "l3"
  },
  "CAP_e7a66882": {
   "en": "Publish Human Assist Request",
   "zh": "发布人工接管请求",
   "level": "l3"
  },
  "CAP_871d72c0": {
   "en": "Assist Type Decision",
   "zh": "接管方式判定",
   "level": "l3"
  },
  "CAP_01ea0821": {
   "en": "Teleoperation Takeover",
   "zh": "遥操作接管",
   "level": "l3"
  },
  "CAP_25802fb9": {
   "en": "High-Level Command Takeover",
   "zh": "高维指令接管",
   "level": "l3"
  },
  "CAP_ad4aaaaa": {
   "en": "Recovery Confirmation Handback",
   "zh": "恢复确认交还",
   "level": "l3"
  },
  "CAP_daf4f09e": {
   "en": "Handback Merge",
   "zh": "交还合并",
   "level": "l3"
  },
  "CAP_12969249": {
   "en": "Policy Execution and Failure Detection",
   "zh": "策略执行与失败检测",
   "level": "l3"
  },
  "CAP_c6519375": {
   "en": "Failure Detected Decision",
   "zh": "失败判定",
   "level": "l3"
  },
  "CAP_4c2ad5e4": {
   "en": "Task Success Continue",
   "zh": "任务成功继续",
   "level": "l3"
  },
  "CAP_7d2f8749": {
   "en": "Trigger Human Correction",
   "zh": "触发人工纠正",
   "level": "l3"
  },
  "CAP_0750650b": {
   "en": "Human Intervention Decision",
   "zh": "人类干预判定",
   "level": "l3"
  },
  "CAP_f29a6f59": {
   "en": "Collect Corrective Demonstration",
   "zh": "采集纠正演示",
   "level": "l3"
  },
  "CAP_30414a5f": {
   "en": "Retry Autonomous Policy",
   "zh": "重试自主策略",
   "level": "l3"
  },
  "CAP_13f163cb": {
   "en": "Corrective Data Integration Update",
   "zh": "纠正数据整合更新",
   "level": "l3"
  },
  "CAP_ac011b12": {
   "en": "Corrective Recovery Execution and Verification",
   "zh": "纠正恢复执行与验证",
   "level": "l3"
  },
  "CAP_63e29f13": {
   "en": "Calibrate Module Confidence",
   "zh": "模块置信度校准",
   "level": "l3"
  },
  "CAP_dd9e7930": {
   "en": "Module Selection Decision",
   "zh": "故障模块选择",
   "level": "l3"
  },
  "CAP_0f082a79": {
   "en": "Query Decision Cost Modeling",
   "zh": "查询决策与成本",
   "level": "l3"
  },
  "CAP_d0f9573a": {
   "en": "Query Decision Branch",
   "zh": "查询分支判定",
   "level": "l3"
  },
  "CAP_5fc986fd": {
   "en": "Autonomous Optimal Recovery",
   "zh": "自主最优恢复",
   "level": "l3"
  },
  "CAP_a025568e": {
   "en": "Operator Allocation Decision",
   "zh": "操作员分配判定",
   "level": "l3"
  },
  "CAP_da47732a": {
   "en": "Allocate to Local Operator",
   "zh": "分配本地操作员",
   "level": "l3"
  },
  "CAP_89cf068e": {
   "en": "Allocate to Remote Operator",
   "zh": "分配远程操作员",
   "level": "l3"
  },
  "CAP_0292b132": {
   "en": "Feedback-Driven Recovery Execution and Verification",
   "zh": "反馈驱动恢复执行与验证",
   "level": "l3"
  },
  "CAP_e7508cd5": {
   "en": "Recovery Success",
   "zh": "恢复成功",
   "level": "l3"
  },
  "CAP_984bfc38": {
   "en": "Recovery Failure Re-Query",
   "zh": "恢复失败重查询",
   "level": "l3"
  },
  "CAP_be366f9b": {
   "en": "Trust Model Update",
   "zh": "信任模型更新",
   "level": "l3"
  },
  "CAP_a53ecd63": {
   "en": "Safety Monitoring and Degradation",
   "zh": "安全监控与降级",
   "level": "l3"
  },
  "CAP_eacf282d": {
   "en": "Shared Control Execution and Safety",
   "zh": "共享控制执行与安全",
   "level": "l2"
  },
  "CAP_fcd982c2": {
   "en": "User Intent Inference",
   "zh": "用户意图推断",
   "level": "l3"
  },
  "CAP_633f75ca": {
   "en": "Action Value Threshold Filtering",
   "zh": "动作价值阈值过滤",
   "level": "l3"
  },
  "CAP_2e7ce920": {
   "en": "Teleoperation Shared Input Perception",
   "zh": "遥操作共享输入感知",
   "level": "l2"
  },
  "CAP_0624c0e6": {
   "en": "Teleoperation Input Acquisition",
   "zh": "遥操作输入采集",
   "level": "l3"
  },
  "CAP_95aa8cc7": {
   "en": "Fused Action Execution",
   "zh": "融合动作执行",
   "level": "l3"
  },
  "CAP_31e4cc72": {
   "en": "Environment State Encoding",
   "zh": "环境状态感知编码",
   "level": "l3"
  },
  "CAP_e7fc8ac9": {
   "en": "VLM Semantic Arbitration",
   "zh": "VLM 语义仲裁",
   "level": "l3"
  },
  "CAP_f2c161da": {
   "en": "Autonomous Assistance Policy Computation",
   "zh": "自主辅助策略计算",
   "level": "l3"
  },
  "CAP_570d1ac1": {
   "en": "Incremental Policy Update",
   "zh": "增量策略更新",
   "level": "l3"
  },
  "CAP_3ce633e6": {
   "en": "Safety Degradation Request",
   "zh": "安全降级与接管请求",
   "level": "l3"
  },
  "CAP_ed177415": {
   "en": "Autonomy Degradation and Human-in-the-Loop Takeover",
   "zh": "自主权降级与人在环接管",
   "level": "l2"
  },
  "CAP_fe0a9b61": {
   "en": "Policy Execution State Monitoring",
   "zh": "策略执行状态监测",
   "level": "l3"
  },
  "CAP_9e9be484": {
   "en": "Human Teleoperation Takeover",
   "zh": "人类遥操作接管",
   "level": "l3"
  },
  "CAP_945c5c63": {
   "en": "Energy Tank State Monitoring",
   "zh": "能量罐状态监控",
   "level": "l3"
  },
  "CAP_fe177538": {
   "en": "Autonomy Factor Computation",
   "zh": "自主因子计算",
   "level": "l3"
  },
  "CAP_db100cd1": {
   "en": "CBF Safety Filter Haptic Rendering",
   "zh": "CBF 安全滤波与触觉渲染",
   "level": "l3"
  },
  "CAP_8b4c00e0": {
   "en": "Variable Impedance Control",
   "zh": "变阻抗控制",
   "level": "l2"
  },
  "CAP_9424ff44": {
   "en": "Cartesian Impedance Control Law",
   "zh": "笛卡尔阻抗控制律",
   "level": "l3"
  },
  "CAP_07682c56": {
   "en": "Dynamic Bayesian Trust Inference",
   "zh": "动态贝叶斯信任推理",
   "level": "l3"
  },
  "CAP_2866635a": {
   "en": "Impedance Parameter Scheduling",
   "zh": "阻抗参数调度",
   "level": "l3"
  },
  "CAP_4aa39f94": {
   "en": "Joint Torque F/T Sensing",
   "zh": "关节力矩/力觉传感",
   "level": "l3"
  },
  "CAP_a387c1f5": {
   "en": "Time-invariant Potential Field Encoding",
   "zh": "时不变势场编码",
   "level": "l3"
  },
  "CAP_94d1a64a": {
   "en": "Social Costmap MPC Planning",
   "zh": "社会代价地图与模型预测控制规划",
   "level": "l2"
  },
  "CAP_60357b64": {
   "en": "Near-range Navigation Human Detection and Tracking",
   "zh": "近距导航行人检测与跟踪",
   "level": "l3"
  },
  "CAP_a9f77ebe": {
   "en": "Proxemic Distance Cost Modeling",
   "zh": "个人空间近接代价层",
   "level": "l3"
  },
  "CAP_2dccd062": {
   "en": "Directional Social Cost",
   "zh": "方向感知社会代价建模",
   "level": "l3"
  },
  "CAP_21f336b4": {
   "en": "Social Costmap Layer Plugin Integration",
   "zh": "时间相关社会代价地图",
   "level": "l3"
  },
  "CAP_db309fca": {
   "en": "Human Comfort Evaluation Metric",
   "zh": "人类舒适度评估度量",
   "level": "l3"
  },
  "CAP_fe69bff5": {
   "en": "Continuous DRL Policy Network Inference",
   "zh": "分散式深度强化学习策略网络",
   "level": "l2"
  },
  "CAP_dc385079": {
   "en": "RNN Solver Design",
   "zh": "DS-RNN 时空因子网络",
   "level": "l3"
  },
  "CAP_bbcf1eb7": {
   "en": "Chance-Constrained Probabilistic Predictive Obstacle Avoidance",
   "zh": "预测-规划解耦人因感知规避",
   "level": "l2"
  },
  "CAP_914912dd": {
   "en": "Chance-Constrained Probabilistic Collision Avoidance",
   "zh": "机会约束概率避碰",
   "level": "l3"
  },
  "CAP_572b5511": {
   "en": "Semantic Map CNN Encoding for Prediction",
   "zh": "预测语义地图增强",
   "level": "l3"
  },
  "CAP_c8080ef4": {
   "en": "Social Repulsive Force Computation",
   "zh": "社会排斥力计算",
   "level": "l3"
  },
  "CAP_ba60c7cb": {
   "en": "Observation Sequence Encoder",
   "zh": "观测序列编码",
   "level": "l3"
  },
  "CAP_9434715f": {
   "en": "Social Norm Encoding",
   "zh": "社交规范编码",
   "level": "l3"
  },
  "CAP_f093e4b7": {
   "en": "Dynamic Window Feasible Set Computation",
   "zh": "动态窗口可行集计算",
   "level": "l3"
  },
  "CAP_2580422e": {
   "en": "Human Perception Capability",
   "zh": "人感知能力",
   "level": "l3"
  },
  "CAP_93fddc14": {
   "en": "Global Path And Local Goal Input",
   "zh": "全局路径与局部目标输入",
   "level": "l3"
  },
  "CAP_40121ba8": {
   "en": "Social-Force Dynamic Window Local Planning",
   "zh": "社会力动态窗口局部规划",
   "level": "l2"
  },
  "CAP_b3c86885": {
   "en": "DRL-Based Social Navigation Pipeline",
   "zh": "深度强化学习社会导航流水线",
   "level": "l2"
  },
  "CAP_43291ec0": {
   "en": "Policy-Action-to-Velocity Decoding",
   "zh": "策略动作到速度指令解码",
   "level": "l3"
  },
  "CAP_95b0c402": {
   "en": "GNN Crowd-Aware Dynamic Window Planning",
   "zh": "图神经网络人群感知动态窗口规划",
   "level": "l2"
  },
  "CAP_508b2f67": {
   "en": "Socially-Constrained Path Planning",
   "zh": "社交约束路径规划",
   "level": "l2"
  },
  "CAP_b7cb3ce6": {
   "en": "Personal-Space Gaussian Cost Layer",
   "zh": "个人空间高斯代价层",
   "level": "l3"
  },
  "CAP_6adfd595": {
   "en": "Visibility Field-of-View Cost",
   "zh": "视野可见性代价",
   "level": "l3"
  },
  "CAP_35bb996b": {
   "en": "Hidden-Zone Occlusion Cost",
   "zh": "隐藏区遮挡代价",
   "level": "l3"
  },
  "CAP_e6bd8bd0": {
   "en": "Human-Aware A* Social Path Search",
   "zh": "人类感知 A* 社会路径搜索",
   "level": "l3"
  },
  "CAP_057e0d05": {
   "en": "Crowd State Observation",
   "zh": "人群联合状态构建",
   "level": "l3"
  },
  "CAP_c087f0ff": {
   "en": "Pairwise Region Allocation",
   "zh": "成对人机交互编码",
   "level": "l3"
  },
  "CAP_0495f344": {
   "en": "Attention-Pooling Aggregation and Multi-Task Regression",
   "zh": "社交注意力池化聚合",
   "level": "l3"
  },
  "CAP_d56fde47": {
   "en": "Social Force Model Proxemic Navigation",
   "zh": "社会导航指标套件计算",
   "level": "l3"
  },
  "CAP_d52aa6a4": {
   "en": "Dynamic Obstacle MPC Inequality Constraint",
   "zh": "预测分布到 MPC 约束翻译",
   "level": "l3"
  },
  "CAP_9fce4b4c": {
   "en": "Human Detection & Tracking For Proxemic State",
   "zh": "面向近体状态的人体检测与跟踪",
   "level": "l3"
  },
  "CAP_c724e53f": {
   "en": "Proxemic Zone Assessment",
   "zh": "近距空间区域评估",
   "level": "l3"
  },
  "CAP_3a1ad462": {
   "en": "Driving Force to Goal",
   "zh": "目标驱动力计算",
   "level": "l3"
  },
  "CAP_9951f6c8": {
   "en": "Proxemic Velocity Modulation",
   "zh": "近距速度调制",
   "level": "l3"
  },
  "CAP_f874c19a": {
   "en": "Reach-Avoid Value Network Policy Switching",
   "zh": "到达-避碰价值网络策略切换",
   "level": "l3"
  },
  "CAP_a31aeb6a": {
   "en": "Warm-Start Real-Time Acceleration",
   "zh": "预热加速实时推理",
   "level": "l3"
  },
  "CAP_7ada508f": {
   "en": "Heterogeneous Agent Type-Specific Prediction",
   "zh": "异质智能体类型特定预测",
   "level": "l3"
  },
  "CAP_c5e1390f": {
   "en": "Interaction-Aware MPC Speed Control",
   "zh": "交互感知MPC速度控制",
   "level": "l2"
  },
  "CAP_1b31d7e6": {
   "en": "Subgoal Recommendation Policy for MPC",
   "zh": "MPC子目标推荐策略",
   "level": "l3"
  },
  "CAP_9ed25362": {
   "en": "Multimodal Probabilistic Human Motion Forecasting",
   "zh": "多模态概率人体运动预测",
   "level": "l3"
  },
  "CAP_7769ce86": {
   "en": "Gradient-Based Interaction-Aware Trajectory Optimization",
   "zh": "基于梯度的交互感知轨迹优化",
   "level": "l3"
  },
  "CAP_796d6c14": {
   "en": "Velocity Reference Policy for Interaction",
   "zh": "交互感知速度参考策略",
   "level": "l3"
  },
  "CAP_8aa00c3e": {
   "en": "Language Correction Policy Fine-Tuning",
   "zh": "语言纠正策略微调",
   "level": "l2"
  },
  "CAP_eaf0f1e3": {
   "en": "Verbal Correction Signal Capture",
   "zh": "口头纠正信号采集",
   "level": "l3"
  },
  "CAP_011ca115": {
   "en": "Language Correction Parsing and Typing",
   "zh": "语言纠正语义解析与类型分类",
   "level": "l3"
  },
  "CAP_418385ee": {
   "en": "Residual Cost Map Generation",
   "zh": "残差代价图生成",
   "level": "l3"
  },
  "CAP_55ab18e2": {
   "en": "Language-Conditioned Affordance Adjustment",
   "zh": "语言条件可供性调节",
   "level": "l3"
  },
  "CAP_d7e664db": {
   "en": "High-Level Instruction Override Correction",
   "zh": "高层指令覆盖纠正",
   "level": "l3"
  },
  "CAP_0cec39c3": {
   "en": "Language-Conditioned Diffusion Plan Resampling",
   "zh": "语言条件扩散计划重采样",
   "level": "l3"
  },
  "CAP_985db5eb": {
   "en": "DAgger-in-Language-Space Fine-Tuning",
   "zh": "语言空间 DAgger 微调",
   "level": "l3"
  },
  "CAP_c991dce7": {
   "en": "Correction Knowledge Distillation and Retrieval",
   "zh": "纠正知识蒸馏与检索",
   "level": "l3"
  },
  "CAP_e52f19c1": {
   "en": "Human-Gated Intervention Control Loop",
   "zh": "人类门控干预控制闭环",
   "level": "l2"
  },
  "CAP_16bb883e": {
   "en": "Intervention Trajectory Recording",
   "zh": "干预轨迹记录",
   "level": "l3"
  },
  "CAP_eac6fa69": {
   "en": "Intervention-Weighted Data Aggregation",
   "zh": "干预加权数据聚合",
   "level": "l3"
  },
  "CAP_f6b69b79": {
   "en": "Corrective Recovery Synthesis",
   "zh": "纠正恢复合成",
   "level": "l3"
  },
  "CAP_d3e7344d": {
   "en": "Decaying Relative Correction",
   "zh": "衰减相对校正",
   "level": "l3"
  },
  "CAP_cf42166b": {
   "en": "Preference-Comparison Reward Shaping",
   "zh": "偏好比较奖励塑形",
   "level": "l2"
  },
  "CAP_2a765320": {
   "en": "Preference-Augmented Policy Optimization",
   "zh": "偏好增强策略优化",
   "level": "l2"
  },
  "CAP_5080f041": {
   "en": "Temporal Cropping Augmentation",
   "zh": "时序裁剪数据增强",
   "level": "l3"
  },
  "CAP_92d999de": {
   "en": "Unsupervised State-Entropy Pre-training",
   "zh": "无监督状态熵预训练",
   "level": "l3"
  },
  "CAP_044bef31": {
   "en": "Off-policy Experience Relabeling",
   "zh": "离策略经验重标注",
   "level": "l3"
  },
  "CAP_ddcd6c05": {
   "en": "Trajectory Segment Sampling",
   "zh": "轨迹片段采样",
   "level": "l3"
  },
  "CAP_1ea154e6": {
   "en": "Human Preference Query and Annotation",
   "zh": "人类偏好查询与标注",
   "level": "l3"
  },
  "CAP_643434e7": {
   "en": "Preference Query Construction",
   "zh": "偏好查询构造",
   "level": "l3"
  },
  "CAP_67268cb4": {
   "en": "Human Labeling Interface",
   "zh": "人类偏好标注获取",
   "level": "l3"
  },
  "CAP_cad86cdf": {
   "en": "Active Reward Query Selection",
   "zh": "主动查询选择",
   "level": "l3"
  },
  "CAP_8580a943": {
   "en": "Preference-based Reward Learning Pipeline",
   "zh": "偏好式奖励学习流水线",
   "level": "l2"
  },
  "CAP_afc02175": {
   "en": "Environment Context Extraction",
   "zh": "环境上下文提取",
   "level": "l3"
  },
  "CAP_60b175a8": {
   "en": "Candidate Reward Policy Training",
   "zh": "候选奖励策略训练",
   "level": "l3"
  },
  "CAP_c9c94974": {
   "en": "Reward Reflection Evaluation",
   "zh": "奖励反射评估",
   "level": "l3"
  },
  "CAP_25739770": {
   "en": "Evolutionary Reward Mutation",
   "zh": "进化奖励变异/交叉",
   "level": "l3"
  },
  "CAP_e4969687": {
   "en": "Human Feedback Elo Scoring",
   "zh": "人类反馈 Elo 评分",
   "level": "l3"
  },
  "CAP_4ae9db55": {
   "en": "Best Reward Selection",
   "zh": "最优奖励选择",
   "level": "l3"
  },
  "CAP_dfa85619": {
   "en": "LLM-Augmented Reward Design Pipeline",
   "zh": "LLM 增强奖励设计流水线",
   "level": "l2"
  },
  "CAP_c5c04837": {
   "en": "EEG Signal Acquisition and Preprocessing",
   "zh": "EEG 脑电信号采集与预处理",
   "level": "l3"
  },
  "CAP_29ff1273": {
   "en": "EEG Signal Decoding to Reward",
   "zh": "EEG 信号解码为奖励",
   "level": "l3"
  },
  "CAP_3a6d3d1b": {
   "en": "Freeform Language Feedback Mapping",
   "zh": "自由形式语言反馈映射",
   "level": "l3"
  },
  "CAP_56a7f12a": {
   "en": "Representative Reward Model Training",
   "zh": "代表性奖励模型训练",
   "level": "l3"
  },
  "CAP_37686068": {
   "en": "Off-Policy RL with Reward Relabeling",
   "zh": "基于隐式奖励的策略优化",
   "level": "l3"
  },
  "CAP_46d84e95": {
   "en": "Iterative Reward Refinement",
   "zh": "迭代奖励修正",
   "level": "l3"
  },
  "CAP_f0a389d1": {
   "en": "Implicit and Multimodal Human Feedback Reward Pipeline",
   "zh": "隐式多模态人类反馈奖励流水线",
   "level": "l2"
  },
  "CAP_b0be9541": {
   "en": "Preference-based Reward Labeling",
   "zh": "偏好式奖励标注",
   "level": "l2"
  },
  "CAP_f4f382c0": {
   "en": "Bradley-Terry Reward Training",
   "zh": "Bradley-Terry偏好奖励模型",
   "level": "l3"
  },
  "CAP_2261cbba": {
   "en": "Active Learning Sample Labeling",
   "zh": "主动学习样本标注",
   "level": "l2"
  },
  "CAP_ccd4435f": {
   "en": "Query by Committee",
   "zh": "查询委员会采样",
   "level": "l3"
  },
  "CAP_853ed4b8": {
   "en": "BALD BatchBALD Acquisition Computation",
   "zh": "批量主动学习BatchBALD",
   "level": "l3"
  },
  "CAP_f6454133": {
   "en": "Active Learning Iteration Loop",
   "zh": "主动学习迭代循环",
   "level": "l3"
  },
  "CAP_98a1eb80": {
   "en": "Stream-based Active Learning",
   "zh": "流式主动学习",
   "level": "l3"
  },
  "CAP_d31a7dd9": {
   "en": "PbRL Iterative Query Loop",
   "zh": "PbRL迭代查询循环",
   "level": "l3"
  },
  "CAP_8534f9a8": {
   "en": "PbRL Deployment Evaluation",
   "zh": "PbRL部署评估",
   "level": "l3"
  },
  "CAP_207cf495": {
   "en": "PbRL Termination Check",
   "zh": "PbRL终止判据",
   "level": "l3"
  },
  "CAP_cec78e90": {
   "en": "DAgger Iterative Loop",
   "zh": "DAgger迭代循环",
   "level": "l3"
  },
  "CAP_0c335810": {
   "en": "DAgger Deployment Evaluation",
   "zh": "DAgger部署评估",
   "level": "l3"
  },
  "CAP_ff59ec6f": {
   "en": "DAgger Termination Check",
   "zh": "DAgger终止判据",
   "level": "l3"
  },
  "CAP_85042b63": {
   "en": "Initial Sample Annotation",
   "zh": "初始样本标注",
   "level": "l3"
  },
  "CAP_df143108": {
   "en": "Initial Model Training",
   "zh": "初始模型训练",
   "level": "l3"
  },
  "CAP_cbe88ef6": {
   "en": "AL Human Annotation",
   "zh": "主动学习人类标注",
   "level": "l3"
  },
  "CAP_2a8c3b65": {
   "en": "AL Pool Update",
   "zh": "主动学习样本池更新",
   "level": "l3"
  },
  "CAP_e64598ac": {
   "en": "AL Model Retraining",
   "zh": "主动学习模型重训",
   "level": "l3"
  },
  "CAP_36e75618": {
   "en": "AL Final Model Assembly",
   "zh": "主动学习最终模型汇总",
   "level": "l3"
  },
  "CAP_eff7ae1b": {
   "en": "Hierarchical Task Cognitive Decomposition",
   "zh": "层次任务认知分解",
   "level": "l3"
  },
  "CAP_ece905d1": {
   "en": "Production Rule Modeling",
   "zh": "产生式规则建模",
   "level": "l3"
  },
  "CAP_d1f4f40a": {
   "en": "Cognitive Simulation Execution",
   "zh": "认知模拟运行",
   "level": "l3"
  },
  "CAP_c3681ea1": {
   "en": "Model Calibration and Validation",
   "zh": "模型校准与拟合度验证",
   "level": "l3"
  },
  "CAP_5a756339": {
   "en": "A Priori Performance Prediction",
   "zh": "先验绩效预测",
   "level": "l3"
  },
  "CAP_2bd80003": {
   "en": "Performance-driven Design Optimization",
   "zh": "绩效驱动设计优化",
   "level": "l3"
  },
  "CAP_27a4a24a": {
   "en": "Cognitive Architecture Task Modeling",
   "zh": "认知架构任务建模",
   "level": "l2"
  },
  "CAP_8f9033f2": {
   "en": "Cognitive Simulation and Calibration",
   "zh": "认知模拟与校准",
   "level": "l2"
  },
  "CAP_b8fbf035": {
   "en": "A Priori Prediction and Design Optimization",
   "zh": "先验预测与设计优化",
   "level": "l2"
  },
  "CAP_1a8c4c72": {
   "en": "Physiological Signal Feature Extraction",
   "zh": "生理信号特征提取",
   "level": "l3"
  },
  "CAP_5f2f81bd": {
   "en": "Physiological Performance Prediction Model Training",
   "zh": "生理信号绩效预测模型训练",
   "level": "l3"
  },
  "CAP_b0165bc3": {
   "en": "Online Performance Prediction and Adaptive Adjustment",
   "zh": "在线绩效预测与自适应调整",
   "level": "l3"
  },
  "CAP_fa3d408d": {
   "en": "Early Performance Prediction",
   "zh": "早期绩效预测",
   "level": "l3"
  },
  "CAP_04cde53c": {
   "en": "Wearable Performance Monitoring Deployment",
   "zh": "可穿戴设备绩效监测部署",
   "level": "l3"
  },
  "CAP_06f371d4": {
   "en": "Physiological Signal Acquisition and Preprocessing",
   "zh": "生理信号采集与预处理",
   "level": "l2"
  },
  "CAP_a25bf60a": {
   "en": "Physiological Feature Extraction and Model Training",
   "zh": "特征提取与模型训练",
   "level": "l2"
  },
  "CAP_2a6b0bcd": {
   "en": "Physiological Online Prediction and Deployment",
   "zh": "在线预测与部署",
   "level": "l2"
  },
  "CAP_2d7f971b": {
   "en": "Behavioral Data Collection and Annotation",
   "zh": "行为数据采集与标注",
   "level": "l3"
  },
  "CAP_76e1d23e": {
   "en": "Behavioral Feature Extraction",
   "zh": "行为特征提取",
   "level": "l3"
  },
  "CAP_e9aca47b": {
   "en": "Bayesian State-Space Model Construction",
   "zh": "贝叶斯状态空间模型构建",
   "level": "l3"
  },
  "CAP_2afb12c2": {
   "en": "Performance State Decoding",
   "zh": "绩效状态解码",
   "level": "l3"
  },
  "CAP_ab687423": {
   "en": "Performance Prediction and Intervention",
   "zh": "绩效预测与干预",
   "level": "l3"
  },
  "CAP_12df3925": {
   "en": "Real-world Performance Validation",
   "zh": "真实场景绩效验证",
   "level": "l3"
  },
  "CAP_b4dce90d": {
   "en": "Behavioral Data Acquisition and Annotation",
   "zh": "行为数据采集与标注",
   "level": "l2"
  },
  "CAP_a6167bd0": {
   "en": "Behavioral Feature Extraction and Bayesian Modeling",
   "zh": "特征提取与贝叶斯建模",
   "level": "l2"
  },
  "CAP_8155242f": {
   "en": "Performance State Decoding and Intervention",
   "zh": "绩效状态解码与干预",
   "level": "l2"
  },
  "CAP_6a0709f3": {
   "en": "Human Preference Data Preparation",
   "zh": "人类偏好数据准备",
   "level": "l2"
  },
  "CAP_c2568d83": {
   "en": "Human Preference Annotation",
   "zh": "人类偏好标注交互",
   "level": "l2"
  },
  "CAP_a828c582": {
   "en": "Preference Data Quality Assurance",
   "zh": "偏好数据质量保证",
   "level": "l2"
  },
  "CAP_63fb5f13": {
   "en": "Feature Augmentation and Keyframe Extraction",
   "zh": "特征增强与关键帧提取",
   "level": "l3"
  },
  "CAP_57b6d243": {
   "en": "Labeling Consistency Monitoring",
   "zh": "标注一致性监控",
   "level": "l3"
  },
  "CAP_fa8b150e": {
   "en": "Preference Data Aggregation and Cleaning",
   "zh": "偏好数据聚合与清洗",
   "level": "l3"
  },
  "CAP_73615462": {
   "en": "Quality Control Report",
   "zh": "质量控制报告",
   "level": "l3"
  },
  "CAP_901ea42c": {
   "en": "Reward Model Data Preparation",
   "zh": "奖励模型数据准备",
   "level": "l2"
  },
  "CAP_aed720bd": {
   "en": "Reward Model Evaluation and Optimization",
   "zh": "奖励模型评测与优化",
   "level": "l2"
  },
  "CAP_15dff311": {
   "en": "Reward Model Overoptimization Analysis",
   "zh": "奖励模型过优化分析",
   "level": "l3"
  },
  "CAP_10739d39": {
   "en": "Robust Reward Model Architecture",
   "zh": "鲁棒奖励模型架构",
   "level": "l3"
  },
  "CAP_c794d091": {
   "en": "Multimodal Preference Fusion Evaluation",
   "zh": "多模态偏好融合评测",
   "level": "l2"
  },
  "CAP_21f5cb90": {
   "en": "Generative Reward Model Paradigm",
   "zh": "生成式奖励模型范式",
   "level": "l2"
  },
  "CAP_59f82586": {
   "en": "LLM-as-a-Judge Evaluation Prompt Construction",
   "zh": "LLM-as-a-Judge 评测指令构建",
   "level": "l3"
  },
  "CAP_3bcefcf7": {
   "en": "Internal Representation Score Calibration",
   "zh": "LLM 内部表示分数校准",
   "level": "l3"
  },
  "CAP_fc401806": {
   "en": "LLM-as-a-Judge Bias Detection and Correction",
   "zh": "LLM-as-a-Judge 偏见检测与修正",
   "level": "l3"
  },
  "CAP_dc0ec493": {
   "en": "VLM Trajectory Visual Evaluation",
   "zh": "VLM 轨迹视觉评估",
   "level": "l3"
  },
  "CAP_d04de0b9": {
   "en": "LLM Trajectory Textual Evaluation",
   "zh": "LLM 轨迹文本评估",
   "level": "l3"
  },
  "CAP_1b86accd": {
   "en": "Neuro-Symbolic Preference Fusion",
   "zh": "神经符号偏好融合",
   "level": "l3"
  },
  "CAP_d2122ce4": {
   "en": "Constitutional Self-Critique and Revision",
   "zh": "宪章式自我批评-修订",
   "level": "l3"
  },
  "CAP_c17513e6": {
   "en": "AI Preference Labeling",
   "zh": "AI 偏好标注",
   "level": "l3"
  },
  "CAP_a631f388": {
   "en": "Generative Reward Model Inference",
   "zh": "生成式奖励模型推理",
   "level": "l3"
  },
  "CAP_e4bf4069": {
   "en": "STaR Bootstrapped Reward Model Training",
   "zh": "STaR 自举奖励模型训练",
   "level": "l3"
  },
  "CAP_439aced0": {
   "en": "AI Human Detection and Skeletal Keypoint Extraction",
   "zh": "AI 人体检测与骨骼关键点提取",
   "level": "l2"
  },
  "CAP_26a72256": {
   "en": "Human Detection from Depth",
   "zh": "深度图像人类检测",
   "level": "l3"
  },
  "CAP_ca70ce7a": {
   "en": "Robot Kinematics Real-time Readout",
   "zh": "机器人运动学实时读取",
   "level": "l3"
  },
  "CAP_96748d78": {
   "en": "Human-Robot Minimum Distance Spatial Vector Calculation",
   "zh": "人机最小距离空间向量计算",
   "level": "l3"
  },
  "CAP_28108be0": {
   "en": "Safety Zone Hierarchical Decision and Command Output",
   "zh": "安全区域分级判定与指令输出",
   "level": "l3"
  },
  "CAP_1868d670": {
   "en": "Safety Monitoring and Event Logging",
   "zh": "安全监控与事件记录",
   "level": "l3"
  },
  "CAP_63abdbdf": {
   "en": "Capacitive Proximity Skin Parameter Configuration",
   "zh": "电容接近觉皮肤参数配置",
   "level": "l3"
  },
  "CAP_6c8a1d70": {
   "en": "Capacitive Array CDC Scanning",
   "zh": "电容阵列 CDC 扫描",
   "level": "l3"
  },
  "CAP_a9c064c5": {
   "en": "Proximity Detection Gating",
   "zh": "接近检测门控",
   "level": "l3"
  },
  "CAP_31c7c586": {
   "en": "Capacitive Proximity Distance Estimation",
   "zh": "电容接近距离估计",
   "level": "l3"
  },
  "CAP_bce859b2": {
   "en": "Hierarchical Proximity State Classification",
   "zh": "层级接近状态分级",
   "level": "l2"
  },
  "CAP_d0ca4287": {
   "en": "Smooth Velocity Transition & Collision Avoidance",
   "zh": "平滑速度过渡与避碰决策",
   "level": "l3"
  },
  "CAP_90265a72": {
   "en": "Safe Stop / Velocity Reduction Execution",
   "zh": "安全停止/速度降低执行",
   "level": "l2"
  },
  "CAP_0d7fbe3c": {
   "en": "Joint Range-Of-Motion Constraint Modeling",
   "zh": "关节活动范围约束建模",
   "level": "l3"
  },
  "CAP_e3ff772f": {
   "en": "Jacobian Rank-Deficiency Envelope Solver",
   "zh": "雅可比秩亏可达包络求解",
   "level": "l3"
  },
  "CAP_4ac419b7": {
   "en": "Reachability Map Query",
   "zh": "可达性地图查询",
   "level": "l3"
  },
  "CAP_4e712573": {
   "en": "Point-In-Reach-Envelope Test",
   "zh": "点包络可达性判定",
   "level": "l3"
  },
  "CAP_a262ae7e": {
   "en": "Skeletal Motion Encoding And Normalization",
   "zh": "骨骼运动序列编码与归一化",
   "level": "l3"
  },
  "CAP_fa79b23e": {
   "en": "Motion Token Language-Model Forecast",
   "zh": "运动分词+语言模型预测",
   "level": "l3"
  },
  "CAP_011214f0": {
   "en": "Diffusion-Based Motion Forecast",
   "zh": "扩散模型运动预测",
   "level": "l3"
  },
  "CAP_055a7e5e": {
   "en": "Multimodal Trajectory Sampling And Selection",
   "zh": "多模态轨迹采样与优选",
   "level": "l2"
  },
  "CAP_0b9a8083": {
   "en": "Reach Arrival Time And Target Resolution",
   "zh": "伸手到达时间与目标点解算",
   "level": "l3"
  },
  "CAP_2c7b1b6c": {
   "en": "Reach Prediction Handover Handoff",
   "zh": "伸手预测结果交接预位",
   "level": "l2"
  },
  "CAP_6a544767": {
   "en": "Handover Prep Pose Output",
   "zh": "交接预位姿态输出",
   "level": "l3"
  },
  "CAP_b3ed1c4b": {
   "en": "Scene-Aware Reach Perception",
   "zh": "场景感知可达感知",
   "level": "l2"
  },
  "CAP_06f91fbd": {
   "en": "Object Grasp Affordance Reasoning",
   "zh": "物体抓取可供性推理",
   "level": "l2"
  },
  "CAP_c8e3782d": {
   "en": "Reach Target Prediction",
   "zh": "伸手目标预测",
   "level": "l2"
  },
  "CAP_1cd205f3": {
   "en": "Reach Trajectory And Arrival Prediction",
   "zh": "伸手轨迹与到达预测",
   "level": "l2"
  },
  "CAP_feb721b9": {
   "en": "Online 3D Reach Target Prediction",
   "zh": "在线三维伸手目标预测",
   "level": "l3"
  },
  "CAP_42567a38": {
   "en": "Reach Arrival Time Estimation",
   "zh": "伸手到达时间估计",
   "level": "l3"
  },
  "CAP_73c19f7b": {
   "en": "Handover Object Prep Target Synthesis",
   "zh": "交接物体预备目标合成",
   "level": "l3"
  },
  "CAP_4b199522": {
   "en": "Human-Robot Joint Skeleton Graph Modeling",
   "zh": "人机联合骨架图时空建模",
   "level": "l2"
  },
  "CAP_d520432e": {
   "en": "Human Skeleton Sequence Acquisition",
   "zh": "人体骨架序列采集",
   "level": "l3"
  },
  "CAP_99fa34db": {
   "en": "Robot Joint Pose Acquisition",
   "zh": "机器人关节位姿采集",
   "level": "l3"
  },
  "CAP_a8cd757a": {
   "en": "Joint Skeleton Graph Construction",
   "zh": "联合骨架图构建",
   "level": "l3"
  },
  "CAP_2b4cd4a4": {
   "en": "Spatiotemporal Graph Convolution Feature Extraction",
   "zh": "时空图卷积特征提取",
   "level": "l3"
  },
  "CAP_124321d2": {
   "en": "Collaborative Activity Classification",
   "zh": "协作活动分类与时序解码",
   "level": "l3"
  },
  "CAP_60a15285": {
   "en": "Multimodal Temporal-Fusion HRAR",
   "zh": "多模态时序融合人机活动识别",
   "level": "l2"
  },
  "CAP_40d952b7": {
   "en": "Skeleton Sequence Representation Extraction",
   "zh": "骨架序列表征提取",
   "level": "l3"
  },
  "CAP_7ba42d73": {
   "en": "Robot Proprioception Representation",
   "zh": "机器人状态表征提取",
   "level": "l3"
  },
  "CAP_47c480fa": {
   "en": "Cross-Modal Temporal Fusion",
   "zh": "跨模态时序融合",
   "level": "l3"
  },
  "CAP_4b47d0d7": {
   "en": "HRAR Activity Classification and Anomaly Detection",
   "zh": "人机协作活动分类与异常检测",
   "level": "l3"
  },
  "CAP_4ae0287f": {
   "en": "Semantic-Level Embodied Activity Understanding",
   "zh": "语义级具身活动理解",
   "level": "l2"
  },
  "CAP_00b4c89e": {
   "en": "Continuous Observation Embedding",
   "zh": "连续观测嵌入",
   "level": "l3"
  },
  "CAP_cd234d1a": {
   "en": "Open-Vocabulary Activity Parsing",
   "zh": "开放词汇活动解析",
   "level": "l2"
  },
  "CAP_05c2c640": {
   "en": "Chain-of-Thought Activity Reasoning",
   "zh": "思维链活动推理",
   "level": "l3"
  },
  "CAP_16ad1e42": {
   "en": "Temporal Logic Synthesis",
   "zh": "时序逻辑合成",
   "level": "l2"
  },
  "CAP_abbe24c0": {
   "en": "Temporal Logic Robustness Check",
   "zh": "时序逻辑鲁棒性校验",
   "level": "l3"
  },
  "CAP_3adc5468": {
   "en": "Physical HRC Assembly Coordination",
   "zh": "物理人机协同装配协调",
   "level": "l2"
  },
  "CAP_39370df6": {
   "en": "Assembly Task And Workspace Configuration",
   "zh": "装配任务与空间配置",
   "level": "l2"
  },
  "CAP_7090bdbe": {
   "en": "Contact-Based Force-Controlled Interaction",
   "zh": "接触式力控交互",
   "level": "l2"
  },
  "CAP_1c2244e3": {
   "en": "Human-Guided Comanipulation",
   "zh": "人手引导协同",
   "level": "l2"
  },
  "CAP_5bad491e": {
   "en": "Safety-Bounded Coordination Reaction",
   "zh": "安全边界协调反应",
   "level": "l2"
  },
  "CAP_d9bd3c4f": {
   "en": "Assembly Workspace Configuration",
   "zh": "装配工作空间配置",
   "level": "l3"
  },
  "CAP_1176e7d1": {
   "en": "Active Passive Impedance Scheduling",
   "zh": "主动-被动阻抗行为调度",
   "level": "l3"
  },
  "CAP_3bd9cf72": {
   "en": "Whole-Body Controller Safe Execution",
   "zh": "全身控制器安全执行",
   "level": "l3"
  },
  "CAP_255c6a33": {
   "en": "Shared Autonomy Arbitration",
   "zh": "共享自主裁决",
   "level": "l3"
  },
  "CAP_bc2dc53a": {
   "en": "Motion Filter Displacement Threshold Check",
   "zh": "motion_filter 位移阈值判定",
   "level": "l3"
  },
  "CAP_f264b449": {
   "en": "Human-Robot Capability Profiling",
   "zh": "人机能力剖面建模",
   "level": "l2"
  },
  "CAP_b23ca2ae": {
   "en": "Human-Robot Capability Profiling Acquisition",
   "zh": "人机能力向量采集",
   "level": "l3"
  },
  "CAP_92058167": {
   "en": "Subtask Decomposition and Requirement Vectorization",
   "zh": "子任务分解与需求向量化",
   "level": "l3"
  },
  "CAP_9d770347": {
   "en": "Human-Robot Negotiation and Confirmation",
   "zh": "人机协商与确认",
   "level": "l3"
  },
  "CAP_94a15789": {
   "en": "Dispatch and Execution Handoff",
   "zh": "派发与执行交接",
   "level": "l3"
  },
  "CAP_cc282a60": {
   "en": "Force-driven Human-Robot Role Arbitration",
   "zh": "力驱动人机角色仲裁",
   "level": "l2"
  },
  "CAP_9e2539a7": {
   "en": "Human-Robot Role Arbitration",
   "zh": "人机角色仲裁",
   "level": "l3"
  },
  "CAP_f4090bbe": {
   "en": "Shared Autonomy Blending",
   "zh": "共享自主混合",
   "level": "l2"
  },
  "CAP_4f5ba83a": {
   "en": "Robot Policy Generation",
   "zh": "机器人策略生成",
   "level": "l3"
  },
  "CAP_c0839347": {
   "en": "User Feedback and Authority Preservation",
   "zh": "用户反馈与权威保持",
   "level": "l3"
  },
  "CAP_05e45bb7": {
   "en": "Physical Interaction Perception and Intent",
   "zh": "物理交互感知与意图估计",
   "level": "l2"
  },
  "CAP_5c9739f6": {
   "en": "Role Arbitration and Strategy Adaptation",
   "zh": "角色裁决与阻抗调整",
   "level": "l2"
  },
  "CAP_63ef5f74": {
   "en": "Safe Execution and Re-arbitration",
   "zh": "安全执行与重仲裁",
   "level": "l2"
  },
  "CAP_8013dd1a": {
   "en": "Force-based Intent Estimation",
   "zh": "基于力的意图估计",
   "level": "l3"
  },
  "CAP_65b6d495": {
   "en": "Human Position Real-time Measurement",
   "zh": "人体位置实时测量",
   "level": "l3"
  },
  "CAP_0b0b49b5": {
   "en": "Safe Distance Measurement",
   "zh": "安全距离测量",
   "level": "l3"
  },
  "CAP_dec03c4d": {
   "en": "Protective Separation Distance Computation",
   "zh": "保护分离距离计算",
   "level": "l3"
  },
  "CAP_12a7134d": {
   "en": "Closed-form Kinematic Safe Speed Computation",
   "zh": "闭式运动学安全速度计算",
   "level": "l3"
  },
  "CAP_9a90c17f": {
   "en": "Reactive Distance-Velocity Mapping Speed Limiting",
   "zh": "距离-速度映射函数反应式限速",
   "level": "l3"
  },
  "CAP_137c2f3c": {
   "en": "HRC Safety Output and Reporting",
   "zh": "HRC 安全控制输出与事件报告",
   "level": "l3"
  },
  "CAP_73829f45": {
   "en": "Safety Output Execution and Machine Stop",
   "zh": "安全输出执行与机器停止",
   "level": "l3"
  },
  "CAP_e78de870": {
   "en": "Pose Perception",
   "zh": "姿态感知",
   "level": "l2"
  },
  "CAP_cc1aecc5": {
   "en": "Short-term Skeleton Sequence Tracking",
   "zh": "短时骨架序列跟踪",
   "level": "l3"
  },
  "CAP_a200464b": {
   "en": "Probabilistic Prediction",
   "zh": "概率预测",
   "level": "l2"
  },
  "CAP_7deb0530": {
   "en": "Probabilistic Multimodal Trajectory Forecasting",
   "zh": "概率多模态轨迹预测",
   "level": "l3"
  },
  "CAP_a393b758": {
   "en": "Risk Estimation",
   "zh": "风险估计",
   "level": "l2"
  },
  "CAP_1a12d338": {
   "en": "Probabilistic Min-Distance Distribution and Collision Risk Estimation",
   "zh": "概率最小距离分布与碰撞风险估计",
   "level": "l3"
  },
  "CAP_4206bb53": {
   "en": "Risk Matrix Estimation",
   "zh": "风险矩阵估计",
   "level": "l3"
  },
  "CAP_9d63190e": {
   "en": "Risk-based Actuation",
   "zh": "风险分级执行",
   "level": "l3"
  },
  "CAP_258ddc82": {
   "en": "Multimodal Perception for Safety Distance Monitoring",
   "zh": "面向安全距离监控的多模态感知",
   "level": "l2"
  },
  "CAP_c283132b": {
   "en": "Semantic Understanding for Fine-Grained Monitoring",
   "zh": "面向精细监控的语义理解",
   "level": "l2"
  },
  "CAP_66805999": {
   "en": "Semantic Fine-Grained Distance Generation",
   "zh": "语义精细距离生成",
   "level": "l2"
  },
  "CAP_c4471503": {
   "en": "Semantic Risk Assessment and Actuation",
   "zh": "语义风险分级与执行",
   "level": "l2"
  },
  "CAP_83969767": {
   "en": "Open-Vocabulary Object and Part Detection (Grounding DINO + SAM)",
   "zh": "开放词汇物体与部件检测（Grounding DINO + SAM）",
   "level": "l3"
  },
  "CAP_3b8d5e21": {
   "en": "Human Mask Initialization",
   "zh": "人体掩码初始化",
   "level": "l3"
  },
  "CAP_a493b2ef": {
   "en": "Local CPU-GPU Substrate",
   "zh": "本地 CPU-GPU 计算底座",
   "level": "l2"
  },
  "CAP_0d09b212": {
   "en": "Container Toolkit Runtime Integration",
   "zh": "容器工具包运行时接入",
   "level": "l3"
  },
  "CAP_f0d80fd0": {
   "en": "GPU Operator Unified Deployment",
   "zh": "GPU Operator 一体化部署",
   "level": "l3"
  },
  "CAP_e7d89c44": {
   "en": "NFD/GFD Hardware Labeling",
   "zh": "节点硬件标签",
   "level": "l3"
  },
  "CAP_018cb49d": {
   "en": "MIG Multi-Instance Partitioning",
   "zh": "MIG 多实例划分",
   "level": "l3"
  },
  "CAP_8f018b39": {
   "en": "Software GPU Sharing Selection",
   "zh": "软件 GPU 共享选型",
   "level": "l3"
  },
  "CAP_eaee826c": {
   "en": "GPU Runtime Isolation and Monitoring",
   "zh": "GPU 运行时隔离与监控",
   "level": "l3"
  },
  "CAP_8105e2ef": {
   "en": "GPU Isolation Execution",
   "zh": "GPU 隔离执行",
   "level": "l3"
  },
  "CAP_9adc03eb": {
   "en": "Edge Model Quantization Preparation",
   "zh": "边缘模型量化准备",
   "level": "l2"
  },
  "CAP_cc3d6535": {
   "en": "FPGA Dataflow Compilation",
   "zh": "FPGA 数据流编译",
   "level": "l2"
  },
  "CAP_52f28da5": {
   "en": "NPU Model Compilation",
   "zh": "NPU 模型编译",
   "level": "l2"
  },
  "CAP_b0b05ced": {
   "en": "Efficient CPU Edge GPU Deployment",
   "zh": "高效 CPU/边缘GPU 后端部署",
   "level": "l2"
  },
  "CAP_7dc59d59": {
   "en": "Runtime Inference Execution",
   "zh": "运行时加载与推理",
   "level": "l2"
  },
  "CAP_dd8f12e5": {
   "en": "Performance Validation and Tuning",
   "zh": "性能验证与调优",
   "level": "l3"
  },
  "CAP_bab5d39e": {
   "en": "FPGA量化模型导出与编译",
   "zh": "FPGA量化模型导出与编译",
   "level": "l3"
  },
  "CAP_c44abc9d": {
   "en": "ONNX Runtime Model Deployment",
   "zh": "ONNX Runtime 模型部署",
   "level": "l3"
  },
  "CAP_ddbea01b": {
   "en": "GPU Telemetry Monitoring",
   "zh": "GPU 遥测监控",
   "level": "l3"
  },
  "CAP_f6f99850": {
   "en": "Edge Model Quantization and Compilation",
   "zh": "边缘模型量化与硬件编译",
   "level": "l3"
  },
  "CAP_f1505e9d": {
   "en": "Edge Runtime Inference",
   "zh": "边缘运行时推理",
   "level": "l2"
  },
  "CAP_971f8d88": {
   "en": "Edge Performance Validation and Tuning",
   "zh": "边缘性能验证与调优",
   "level": "l3"
  },
  "CAP_fdf9a8dc": {
   "en": "CloudNode Deployment and Provisioning",
   "zh": "CloudNode 部署与实例供给",
   "level": "l3"
  },
  "CAP_2ab23d0b": {
   "en": "Cloud-Edge Collaborative Inference Execution",
   "zh": "云边协同推理执行",
   "level": "l2"
  },
  "CAP_1938d334": {
   "en": "Cross-Fabric Data Transfer Optimization",
   "zh": "跨 Fabric 数据传输优化",
   "level": "l2"
  },
  "CAP_65fc669c": {
   "en": "Cross-Fabric Feature/Image Compression and RDMA Transfer",
   "zh": "跨 Fabric 特征/图像压缩与 RDMA 传输",
   "level": "l3"
  },
  "CAP_1662c001": {
   "en": "Cloud-Edge Kubernetes Orchestration",
   "zh": "云边 Kubernetes 编排",
   "level": "l2"
  },
  "CAP_d087ca8b": {
   "en": "Edge FPGA NPU Acceleration",
   "zh": "边缘 FPGA/NPU 加速",
   "level": "l2"
  },
  "CAP_b5b81388": {
   "en": "Hardware Target Selection",
   "zh": "硬件目标选型",
   "level": "l3"
  },
  "CAP_878767c4": {
   "en": "YurtHub Local Cache Proxy",
   "zh": "YurtHub 本地缓存代理",
   "level": "l3"
  },
  "CAP_5f96f5b3": {
   "en": "Cross-Fabric Transfer Optimization",
   "zh": "跨 Fabric 传输优化",
   "level": "l2"
  },
  "CAP_d8a90335": {
   "en": "ImageFeature Compression",
   "zh": "图像/特征压缩",
   "level": "l3"
  },
  "CAP_363cf181": {
   "en": "GPUDirect RDMA Transfer",
   "zh": "GPUDirect RDMA 数据传输",
   "level": "l3"
  },
  "CAP_56d26836": {
   "en": "Geometric Task Frame Alignment",
   "zh": "几何任务坐标系对齐",
   "level": "l3"
  },
  "CAP_c67b7ad6": {
   "en": "Cartesian Compliance Assembly",
   "zh": "笛卡尔柔顺装配",
   "level": "l3"
  },
  "CAP_eb8a45d0": {
   "en": "Residual RL Force Control",
   "zh": "残差强化学习力控",
   "level": "l3"
  },
  "CAP_85400528": {
   "en": "Robot-Free Force Demo Transfer",
   "zh": "免机器人力演示数据迁移",
   "level": "l3"
  },
  "CAP_851a8963": {
   "en": "Blackbox Sampler Stream Parameter Instantiation",
   "zh": "黑盒采样器流参数具体化",
   "level": "l3"
  },
  "CAP_79b38cc5": {
   "en": "Trajectory-Optimization-Guided Neural Policy Representation",
   "zh": "轨迹优化引导的神经策略表示",
   "level": "l3"
  },
  "CAP_95c1b702": {
   "en": "Static Fusion Hybrid Retrieval Pipeline",
   "zh": "静态融合混合检索管线",
   "level": "l2"
  },
  "CAP_669cfbda": {
   "en": "Document Chunking and Indexing",
   "zh": "文档分块与索引构建",
   "level": "l3"
  },
  "CAP_249e2f07": {
   "en": "Dual-path Query Encoding",
   "zh": "双路查询编码",
   "level": "l3"
  },
  "CAP_ebb609f2": {
   "en": "Parallel Sparse-Dense Retrieval",
   "zh": "并行稀疏-稠密检索",
   "level": "l3"
  },
  "CAP_53fd5dd3": {
   "en": "Hybrid Index Construction (FAISS+BM25)",
   "zh": "混合索引构建（FAISS+BM25）",
   "level": "l3"
  },
  "CAP_c0cdd335": {
   "en": "Late-Interaction Multi-Vector Retrieval",
   "zh": "延迟交互多向量检索",
   "level": "l2"
  },
  "CAP_b900eb1c": {
   "en": "Multi-Vector Document Encoding",
   "zh": "多向量文档编码",
   "level": "l3"
  },
  "CAP_cf550ca2": {
   "en": "Multi-Vector Index Compression",
   "zh": "多向量索引压缩",
   "level": "l3"
  },
  "CAP_483ff860": {
   "en": "ColBERT MaxSim Scoring",
   "zh": "ColBERT MaxSim评分",
   "level": "l3"
  },
  "CAP_09a8d5e7": {
   "en": "PLAID Multi-Stage Filtering",
   "zh": "PLAID多阶段过滤",
   "level": "l3"
  },
  "CAP_7fa610dd": {
   "en": "Adaptive/Unified Hybrid Retrieval Pipeline",
   "zh": "自适应/统一混合检索管线",
   "level": "l2"
  },
  "CAP_faed4bd3": {
   "en": "Dynamic Weight Optimization",
   "zh": "动态权重优化",
   "level": "l3"
  },
  "CAP_1edd30e8": {
   "en": "Unified Model Retrieval (BGE-M3)",
   "zh": "统一模型检索（BGE-M3）",
   "level": "l3"
  },
  "CAP_037193c0": {
   "en": "Multi-Strategy Retrieval Dispatch",
   "zh": "多策略检索派发",
   "level": "l3"
  },
  "CAP_1025edf4": {
   "en": "Result Assembly and Delivery",
   "zh": "检索结果组装与交付",
   "level": "l3"
  },
  "CAP_c4b1c0ee": {
   "en": "Final Result Ranking and Delivery",
   "zh": "最终排序与结果交付",
   "level": "l3"
  },
  "CAP_1673ed0b": {
   "en": "Result Delivery to Generator",
   "zh": "结果组装交付生成器",
   "level": "l3"
  },
  "CAP_d18e0772": {
   "en": "2.5D Homography-based Hybrid Visual Servoing",
   "zh": "基于单应矩阵分解的 2.5D 混合视觉伺服",
   "level": "l2"
  },
  "CAP_909c421e": {
   "en": "2.5D Decoupled Control Law",
   "zh": "2.5D 解耦控制律",
   "level": "l3"
  },
  "CAP_bf1d80d5": {
   "en": "Closed-loop Servo Iteration",
   "zh": "闭环伺服迭代",
   "level": "l3"
  },
  "CAP_25d6cd4f": {
   "en": "Homography Decomposition",
   "zh": "单应矩阵分解",
   "level": "l3"
  },
  "CAP_895c0623": {
   "en": "Partitioned and Switching Hybrid Visual Servoing",
   "zh": "分区与切换式混合视觉伺服",
   "level": "l2"
  },
  "CAP_2b040bad": {
   "en": "Partitioning and Switching Strategy Design",
   "zh": "分区与切换策略设计",
   "level": "l3"
  },
  "CAP_688fc3bd": {
   "en": "Dual-channel Visual Perception",
   "zh": "双通道视觉感知",
   "level": "l3"
  },
  "CAP_95e0bf48": {
   "en": "Learning-enhanced and Uncalibrated Hybrid Visual Servoing",
   "zh": "学习增强/无标定混合视觉伺服",
   "level": "l2"
  },
  "CAP_d6aa1cb4": {
   "en": "Uncalibrated Jacobian Online Estimation",
   "zh": "无标定雅可比在线估计",
   "level": "l3"
  },
  "CAP_341190a6": {
   "en": "Learning-enhanced Control Policy",
   "zh": "学习增强控制策略",
   "level": "l3"
  },
  "CAP_10fc4928": {
   "en": "Online Learning and Adaptive Update",
   "zh": "在线学习与自适应更新",
   "level": "l3"
  },
  "CAP_06c8d06d": {
   "en": "UVMS Dynamics and Hydrodynamic Identification (DOB-SMC)",
   "zh": "UVMS 动力学与水动力参数辨识（DOB-SMC 链）",
   "level": "l2"
  },
  "CAP_20c30e68": {
   "en": "Disturbance Observer Design for UVMS (DOB-SMC)",
   "zh": "UVMS 扰动观测器设计（DOB-SMC 链）",
   "level": "l2"
  },
  "CAP_4fc70cc2": {
   "en": "Robust Disturbance Rejection Control Design (DOB-SMC)",
   "zh": "鲁棒扰动抑制控制设计（DOB-SMC 链）",
   "level": "l2"
  },
  "CAP_3f72dddd": {
   "en": "Thrust Allocation and Execution (DOB-SMC)",
   "zh": "推进器分配与执行（DOB-SMC 链）",
   "level": "l2"
  },
  "CAP_12d46be5": {
   "en": "UVMS Disturbance Compensation Simulation (DOB-SMC)",
   "zh": "UVMS 扰动补偿仿真验证（DOB-SMC 链）",
   "level": "l2"
  },
  "CAP_bb3dc6b8": {
   "en": "UVMS Dynamics Modeling",
   "zh": "UVMS 动力学建模",
   "level": "l3"
  },
  "CAP_3c4ba138": {
   "en": "Hydrodynamic Parameter Identification",
   "zh": "水动力参数辨识",
   "level": "l3"
  },
  "CAP_eaed1935": {
   "en": "Linear Extended State Observer (LESO)",
   "zh": "线性扩张状态观测器",
   "level": "l3"
  },
  "CAP_0e95a8ff": {
   "en": "Fixed-Time Disturbance Observer (FTDO)",
   "zh": "固定时间扰动观测器",
   "level": "l3"
  },
  "CAP_f1a933ec": {
   "en": "RBF Neural Network Disturbance Observer (RBF-DOB)",
   "zh": "RBF 神经网络扰动观测器",
   "level": "l3"
  },
  "CAP_b4641c14": {
   "en": "Sliding Mode Controller (SMC)",
   "zh": "滑模控制器",
   "level": "l3"
  },
  "CAP_f375723f": {
   "en": "Active Disturbance Rejection Controller (ADRC)",
   "zh": "自抗扰控制器",
   "level": "l3"
  },
  "CAP_8c9f780b": {
   "en": "Combined Disturbance Compensation Law",
   "zh": "复合扰动补偿律",
   "level": "l3"
  },
  "CAP_90d71b24": {
   "en": "UVMS Simulation and Validation",
   "zh": "UVMS 仿真与验证",
   "level": "l3"
  },
  "CAP_f656d209": {
   "en": "UVMS Prediction Model and Disturbance Forecasting (MPC-DP)",
   "zh": "UVMS 预测模型与扰动预测（MPC-DP 链）",
   "level": "l2"
  },
  "CAP_31dba0f2": {
   "en": "NMPC Problem Formulation and Real-Time Solving (MPC-DP)",
   "zh": "NMPC 问题构造与实时求解（MPC-DP 链）",
   "level": "l2"
  },
  "CAP_ecd7005c": {
   "en": "MPC Performance Evaluation (MPC-DP)",
   "zh": "MPC 性能评估（MPC-DP 链）",
   "level": "l2"
  },
  "CAP_cc8b1b64": {
   "en": "UVMS Discrete-Time Prediction Model",
   "zh": "UVMS 离散时间预测模型",
   "level": "l3"
  },
  "CAP_f70fa652": {
   "en": "Disturbance Sequence Prediction",
   "zh": "扰动序列预测",
   "level": "l3"
  },
  "CAP_d47f9729": {
   "en": "Underwater Simulation and Data Generation (Learning-NN)",
   "zh": "水下仿真与数据生成（Learning-NN 链）",
   "level": "l2"
  },
  "CAP_b35d16fd": {
   "en": "Learning Strategy Design (Learning-NN)",
   "zh": "学习策略设计（Learning-NN 链）",
   "level": "l2"
  },
  "CAP_cbcd144b": {
   "en": "Policy Deployment and Adaptation (Learning-NN)",
   "zh": "策略部署与自适应（Learning-NN 链）",
   "level": "l2"
  },
  "CAP_813400bb": {
   "en": "Learning-Based Control Evaluation (Learning-NN)",
   "zh": "学习型控制评估（Learning-NN 链）",
   "level": "l2"
  },
  "CAP_68b6509a": {
   "en": "Disturbance Pattern Dataset",
   "zh": "扰动模式数据集",
   "level": "l3"
  },
  "CAP_43e2f3e4": {
   "en": "RBF Neural Network Adaptive Compensator",
   "zh": "RBF 神经网络自适应补偿器",
   "level": "l3"
  },
  "CAP_3f0fda20": {
   "en": "Curriculum Learning for Disturbance",
   "zh": "扰动课程学习",
   "level": "l3"
  },
  "CAP_005dc758": {
   "en": "CFD Geometry and Mesh Preprocessing",
   "zh": "CFD几何建模与网格预处理",
   "level": "l2"
  },
  "CAP_8ec58cdd": {
   "en": "CFD Mesh Generation for Hydrodynamic Analysis",
   "zh": "水动力分析CFD网格生成",
   "level": "l3"
  },
  "CAP_0322e10a": {
   "en": "RANS Flow Solver",
   "zh": "RANS流场求解器",
   "level": "l2"
  },
  "CAP_2fb28e01": {
   "en": "RANS Flow Field Solution for Underwater Vehicles",
   "zh": "水下航行器RANS流场求解",
   "level": "l3"
  },
  "CAP_82582869": {
   "en": "Prescribed Motion CFD Simulation",
   "zh": "强制运动CFD仿真",
   "level": "l2"
  },
  "CAP_5d8d1f82": {
   "en": "Prescribed Motion Simulation",
   "zh": "强制运动仿真执行",
   "level": "l3"
  },
  "CAP_12845487": {
   "en": "Hydrodynamic Coefficient Extraction",
   "zh": "水动力系数提取",
   "level": "l2"
  },
  "CAP_10eb070e": {
   "en": "Hydrodynamic Coefficient Regression",
   "zh": "水动力系数回归拟合",
   "level": "l3"
  },
  "CAP_6c6787e2": {
   "en": "Hydrodynamic Model Validation",
   "zh": "水动力模型验证",
   "level": "l3"
  },
  "CAP_e21c6200": {
   "en": "Hydrodynamic Damping Calculation (Parametrized)",
   "zh": "水动力阻尼计算（参数化）",
   "level": "l3"
  },
  "CAP_b8ff1506": {
   "en": "System Identification Experiment Design",
   "zh": "系统辨识实验设计",
   "level": "l2"
  },
  "CAP_218323c6": {
   "en": "Excitation Signal Design for SI",
   "zh": "激励信号设计",
   "level": "l3"
  },
  "CAP_4581a8f1": {
   "en": "Sensor Data Acquisition and Preprocessing",
   "zh": "传感器数据采集与预处理",
   "level": "l2"
  },
  "CAP_52014051": {
   "en": "Multi-sensor Data Preprocessing",
   "zh": "多传感器数据预处理",
   "level": "l3"
  },
  "CAP_6e281c82": {
   "en": "Model Structure Selection and Parametrization",
   "zh": "模型结构选择与参数化",
   "level": "l2"
  },
  "CAP_c130307c": {
   "en": "Fossen Model Parametrization",
   "zh": "Fossen模型参数化",
   "level": "l3"
  },
  "CAP_5e6cff9d": {
   "en": "Parameter Estimation Algorithms",
   "zh": "参数估计算法",
   "level": "l2"
  },
  "CAP_1c4a541c": {
   "en": "Hydrodynamic Parameter Estimation",
   "zh": "水动力参数估计",
   "level": "l3"
  },
  "CAP_91754999": {
   "en": "Model Validation and Generalization Assessment",
   "zh": "模型验证与泛化评估",
   "level": "l2"
  },
  "CAP_9f03308d": {
   "en": "Identification Model Validation",
   "zh": "辨识模型验证",
   "level": "l3"
  },
  "CAP_e02dab11": {
   "en": "PINN Data Acquisition and Preprocessing",
   "zh": "PINN数据采集与预处理",
   "level": "l2"
  },
  "CAP_2ce63f51": {
   "en": "Field Data Collection for PINN",
   "zh": "PINN现场数据采集",
   "level": "l3"
  },
  "CAP_496fceac": {
   "en": "PINN Network Architecture Design",
   "zh": "PINN网络架构设计",
   "level": "l2"
  },
  "CAP_d9739c60": {
   "en": "Physics-Informed Neural Network Construction",
   "zh": "物理信息神经网络构建",
   "level": "l3"
  },
  "CAP_ad0ce9f7": {
   "en": "PINN Training and Parameter Learning",
   "zh": "PINN训练与参数学习",
   "level": "l2"
  },
  "CAP_ab3b56ee": {
   "en": "PINN Two-Stage Training",
   "zh": "PINN两阶段训练",
   "level": "l3"
  },
  "CAP_a4539732": {
   "en": "PINN Model Validation",
   "zh": "PINN模型验证",
   "level": "l3"
  },
  "CAP_8622c0da": {
   "en": "PINN Feedforward Control Integration",
   "zh": "PINN前馈控制集成",
   "level": "l2"
  },
  "CAP_f9f46921": {
   "en": "PINN-Based Feedforward Control",
   "zh": "基于PINN的前馈控制",
   "level": "l3"
  },
  "CAP_244962d9": {
   "en": "Soft Actuator Hyperelastic Material Definition",
   "zh": "软体执行器超弹性材料定义",
   "level": "l2"
  },
  "CAP_122f94f7": {
   "en": "Soft Matrix Material Definition",
   "zh": "定义软体基质材料",
   "level": "l3"
  },
  "CAP_0405b989": {
   "en": "FEM Nodal Uniform Mass Distribution",
   "zh": "FEM节点均匀质量分配",
   "level": "l3"
  },
  "CAP_06d630de": {
   "en": "Newton-Raphson Hyperelastic Nonlinear Solver",
   "zh": "Newton-Raphson超弹性非线性求解",
   "level": "l3"
  },
  "CAP_0a7a5572": {
   "en": "u-p-J Mixed Newton-Raphson FEM Solver",
   "zh": "u-p-J三场混合Newton-Raphson求解",
   "level": "l3"
  },
  "CAP_c74a142f": {
   "en": "Robust Point-to-Point ICP Registration",
   "zh": "鲁棒点对点 ICP 配准",
   "level": "l3"
  },
  "CAP_3c1f0a18": {
   "en": "ICP Convergence Check and Refined Pose Output",
   "zh": "ICP 收敛判定与精配准位姿输出",
   "level": "l3"
  },
  "CAP_e3004fd7": {
   "en": "Continuous-Time Elastic ICP Intra-Scan Pose",
   "zh": "连续时间弹性 ICP 扫描内位姿",
   "level": "l3"
  },
  "CAP_23d9271f": {
   "en": "Incremental Local Map Construction and Indexing",
   "zh": "增量局部地图构建与索引",
   "level": "l3"
  },
  "CAP_6ff4fdaa": {
   "en": "Learning-Enhanced ICP Odometry Alignment",
   "zh": "学习增强型 ICP 里程计对齐",
   "level": "l2"
  },
  "CAP_f51e54aa": {
   "en": "Learned Correspondence Estimation for ICP",
   "zh": "面向 ICP 的学习对应关系估计",
   "level": "l3"
  },
  "CAP_66f7437b": {
   "en": "Learned Robust Kernel / Soft Assignment",
   "zh": "学习鲁棒核 / 软赋值",
   "level": "l3"
  },
  "CAP_c2045fd6": {
   "en": "Probabilistic GMM-Based Registration (DeepGMR)",
   "zh": "基于概率 GMM 的配准",
   "level": "l3"
  },
  "CAP_ee246953": {
   "en": "Learned Iterative Optimization (PointNetLK / Differentiable ICP)",
   "zh": "学习迭代优化",
   "level": "l3"
  },
  "CAP_32d9f660": {
   "en": "Learning-Enhanced Degeneracy / Uncertainty Estimation",
   "zh": "学习增强的退化 / 不确定性估计",
   "level": "l3"
  },
  "CAP_9f577ca5": {
   "en": "Gaussian Covariance Estimation",
   "zh": "高斯协方差估计",
   "level": "l3"
  },
  "CAP_c4afbe5d": {
   "en": "Bbox IoU Distance Computation",
   "zh": "边界框 IoU 距离计算",
   "level": "l3"
  },
  "CAP_ce14d9a2": {
   "en": "BoT-SORT Camera Motion Compensation Pipeline",
   "zh": "BoT-SORT 相机运动补偿流水线",
   "level": "l2"
  },
  "CAP_eebbf410": {
   "en": "Tracking Evaluation HOTA",
   "zh": "跟踪评测 HOTA",
   "level": "l3"
  },
  "CAP_5c8f3a27": {
   "en": "3D Human Mesh Tracking",
   "zh": "3D 人体网格跟踪",
   "level": "l2"
  },
  "CAP_4e9b2c75": {
   "en": "3D Appearance Location Pose Prediction",
   "zh": "3D 外观位置姿态预测",
   "level": "l3"
  },
  "CAP_227f7bc7": {
   "en": "2D Real-time Identity-Preserving Tracking Pipeline",
   "zh": "2D 实时身份保持跟踪流水线",
   "level": "l2"
  },
  "CAP_4c78ef8b": {
   "en": "Track Lifecycle Management",
   "zh": "轨迹生命周期管理",
   "level": "l3"
  },
  "CAP_4356fe92": {
   "en": "End-to-End Transformer Identity-Preserving Tracking Pipeline",
   "zh": "端到端 Transformer 身份保持跟踪流水线",
   "level": "l2"
  },
  "CAP_10c6c2bc": {
   "en": "DETR Backbone Feature Extraction",
   "zh": "DETR 骨干特征提取",
   "level": "l3"
  },
  "CAP_8d7e8b9f": {
   "en": "Transformer Encoder Context Encoding",
   "zh": "Transformer 编码器上下文编码",
   "level": "l3"
  },
  "CAP_07081047": {
   "en": "Detection Query Initialization",
   "zh": "检测查询（新生目标）初始化",
   "level": "l3"
  },
  "CAP_5abe3a6b": {
   "en": "Track Birth/Death via No-object",
   "zh": "基于 no-object 的轨迹生灭",
   "level": "l3"
  },
  "CAP_22b1c311": {
   "en": "3D Embodied Identity-Preserving Tracking Pipeline",
   "zh": "3D 具身场景身份保持跟踪流水线",
   "level": "l2"
  },
  "CAP_0348e19d": {
   "en": "3D Tracklet Temporal Modeling",
   "zh": "3D tracklet 时序建模",
   "level": "l3"
  },
  "CAP_ee94130e": {
   "en": "Diffusion Data Hallucination",
   "zh": "扩散模型数据幻觉增强外观",
   "level": "l3"
  },
  "CAP_4ef58e57": {
   "en": "Gaussian Identity Encoding",
   "zh": "高斯身份编码 / 唯一标识符",
   "level": "l3"
  },
  "CAP_325b0c7a": {
   "en": "Joint Detection and Track Query",
   "zh": "联合检测与轨迹查询",
   "level": "l3"
  },
  "CAP_2350768a": {
   "en": "End-to-End Track Output",
   "zh": "端到端轨迹输出",
   "level": "l3"
  },
  "CAP_0ed31cb6": {
   "en": "Classical Feature-Based IBVS",
   "zh": "经典特征型基于图像视觉伺服",
   "level": "l2"
  },
  "CAP_1f57eadc": {
   "en": "IBVS Visual Feature Extraction",
   "zh": "IBVS 视觉特征提取",
   "level": "l3"
  },
  "CAP_f6a43310": {
   "en": "Feature Error Computation",
   "zh": "特征误差计算",
   "level": "l3"
  },
  "CAP_294da171": {
   "en": "IBVS Velocity Control Law",
   "zh": "IBVS 速度控制律",
   "level": "l3"
  },
  "CAP_d97163cd": {
   "en": "Camera Retreat Avoidance",
   "zh": "相机后退避免",
   "level": "l3"
  },
  "CAP_1700af6f": {
   "en": "Photometric / Direct Visual Servoing",
   "zh": "光度/直接视觉伺服",
   "level": "l2"
  },
  "CAP_6b42dc41": {
   "en": "Whole-Image Luminance Feature Extraction",
   "zh": "整幅亮度特征提取",
   "level": "l3"
  },
  "CAP_2e296171": {
   "en": "Luminance Interaction Matrix Construction",
   "zh": "亮度交互矩阵构造",
   "level": "l3"
  },
  "CAP_8cbeb0f6": {
   "en": "Photometric Moment Alignment",
   "zh": "光度矩对齐",
   "level": "l3"
  },
  "CAP_9137bce1": {
   "en": "Omnidirectional Photometric VS",
   "zh": "全向光度视觉伺服",
   "level": "l3"
  },
  "CAP_95c7d4fe": {
   "en": "Uncalibrated / Adaptive IBVS",
   "zh": "无标定/自适应基于图像视觉伺服",
   "level": "l2"
  },
  "CAP_a91dde8a": {
   "en": "Broyden Rank-1 Jacobian Update",
   "zh": "Broyden 秩-1 雅可比更新",
   "level": "l3"
  },
  "CAP_739be4fd": {
   "en": "Model-Free Visual Servoing Control Law",
   "zh": "无模型视觉伺服控制律",
   "level": "l3"
  },
  "CAP_5e32af32": {
   "en": "Moving-Target Uncalibrated VS",
   "zh": "运动目标无标定视觉伺服",
   "level": "l3"
  },
  "CAP_3bf2bec4": {
   "en": "Visual Servoing Image Acquisition",
   "zh": "视觉伺服图像采集",
   "level": "l3"
  },
  "CAP_a16236f2": {
   "en": "Robot Velocity Execution",
   "zh": "机器人速度执行",
   "level": "l3"
  },
  "CAP_e8a7311f": {
   "en": "Luminance Error Computation",
   "zh": "亮度误差计算",
   "level": "l3"
  },
  "CAP_fe959d0d": {
   "en": "Feature Delta Measurement",
   "zh": "特征变化测量",
   "level": "l3"
  },
  "CAP_9f3a1b7c": {
   "en": "Photometric VS Control Law",
   "zh": "光度直接视觉伺服控制律",
   "level": "l3"
  },
  "CAP_d16f08cc": {
   "en": "Dual-Softmax Coarse Matching",
   "zh": "双softmax粗匹配",
   "level": "l3"
  },
  "CAP_599f7152": {
   "en": "Aggregated Attention with Token Selection",
   "zh": "聚合注意力与Token选择",
   "level": "l3"
  },
  "CAP_215d78c9": {
   "en": "Correlation Pyramid Construction",
   "zh": "两阶段相关细化",
   "level": "l3"
  },
  "CAP_d0c08ef8": {
   "en": "Semantic-Anchored Cross-Modal Feature Matching",
   "zh": "语义锚定跨模态特征匹配",
   "level": "l2"
  },
  "CAP_cbc3a96e": {
   "en": "Joint Detect-Describe (D2-Net)",
   "zh": "联合检测-描述（D2-Net）",
   "level": "l3"
  },
  "CAP_fae7c7d2": {
   "en": "Semantic-Guided Feature Detection and Description",
   "zh": "语义引导检测与描述（SFD2）",
   "level": "l3"
  },
  "CAP_04ae6f37": {
   "en": "Reliability Map Computation",
   "zh": "可靠性图计算（SFD2）",
   "level": "l3"
  },
  "CAP_375f87e2": {
   "en": "Decoupled Lightweight Detection",
   "zh": "轻量化解耦检测（XFeat）",
   "level": "l3"
  },
  "CAP_0ae0cb20": {
   "en": "Event Camera Feature Tracking",
   "zh": "事件相机数据驱动特征跟踪",
   "level": "l3"
  },
  "CAP_8113019b": {
   "en": "Hypernetwork Goal-Conditioned Policy Generation",
   "zh": "超网络目标条件策略生成",
   "level": "l3"
  },
  "CAP_1ad17235": {
   "en": "Semantic Frontier Exploration",
   "zh": "语义前沿探索",
   "level": "l3"
  },
  "CAP_ac1f31fe": {
   "en": "Goal Instance Feature Matching & Re-identification",
   "zh": "目标实例特征匹配与重识别",
   "level": "l3"
  },
  "CAP_e6f5d8a0": {
   "en": "3D Goal Localization",
   "zh": "3D 目标定位",
   "level": "l3"
  },
  "CAP_375d84b6": {
   "en": "Object-Action Consistency Learning",
   "zh": "物体-动作一致性学习",
   "level": "l3"
  },
  "CAP_e9b1b231": {
   "en": "Koopman Spectral-Constrained Latent Dynamics",
   "zh": "Koopman 谱约束潜在动力学",
   "level": "l3"
  },
  "CAP_dc7647b4": {
   "en": "Token-Based World Model Imagination Pipeline",
   "zh": "Token 世界模型想象流水线",
   "level": "l2"
  },
  "CAP_dc24675f": {
   "en": "Diffusion World Model Imagination Pipeline",
   "zh": "扩散世界模型想象流水线",
   "level": "l2"
  },
  "CAP_37066cbc": {
   "en": "Policy Behavior Alignment",
   "zh": "策略行为对齐",
   "level": "l3"
  },
  "CAP_d21da7e5": {
   "en": "Semantic Branch Proposal",
   "zh": "语义分支提议",
   "level": "l2"
  },
  "CAP_3d5e551e": {
   "en": "Physics Simulation Rollout",
   "zh": "物理仿真推演",
   "level": "l2"
  },
  "CAP_bf932f40": {
   "en": "Visual Diagnosis and Value Assessment",
   "zh": "视觉诊断与价值评估",
   "level": "l2"
  },
  "CAP_512af391": {
   "en": "Reflective Branch Correction",
   "zh": "反思分支修正",
   "level": "l2"
  },
  "CAP_ec7efe37": {
   "en": "Latent State Encoding with Particle Filter",
   "zh": "潜状态编码与粒子滤波表示",
   "level": "l2"
  },
  "CAP_165a8396": {
   "en": "Free Energy-Guided Branch Pruning",
   "zh": "自由能导向分支剪枝",
   "level": "l2"
  },
  "CAP_8f21bf3b": {
   "en": "Candidate Action Proposal Generation",
   "zh": "候选动作提案生成",
   "level": "l2"
  },
  "CAP_a2e99f7e": {
   "en": "Action-Conditioned World Model Rollout",
   "zh": "动作条件世界模型推演",
   "level": "l2"
  },
  "CAP_eb290737": {
   "en": "Counterfactual Outcome Evaluation and Correction",
   "zh": "反事实后果评估与修正",
   "level": "l2"
  },
  "CAP_9dd2682a": {
   "en": "Candidate Action Optimization and Selection",
   "zh": "候选动作优化与选择",
   "level": "l2"
  },
  "CAP_7ab26d18": {
   "en": "Semantic Branch Proposal (Leaf)",
   "zh": "语义分支提议",
   "level": "l3"
  },
  "CAP_0376bda2": {
   "en": "Physics Simulation Rollout (Leaf)",
   "zh": "物理仿真推演",
   "level": "l3"
  },
  "CAP_9bfe8feb": {
   "en": "Visual Diagnosis and Value Assessment (Leaf)",
   "zh": "视觉诊断与价值评估",
   "level": "l3"
  },
  "CAP_6aa34855": {
   "en": "Reflective Branch Correction (Leaf)",
   "zh": "反思分支修正",
   "level": "l3"
  },
  "CAP_fd366bc4": {
   "en": "Closed-loop Execution and Replanning (Leaf)",
   "zh": "闭合回路执行与重规划",
   "level": "l3"
  },
  "CAP_6fefd0a1": {
   "en": "Latent State Encoding with Particle Filter (Leaf)",
   "zh": "潜状态编码与粒子滤波表示",
   "level": "l3"
  },
  "CAP_8677707a": {
   "en": "Free Energy-Guided Branch Pruning (Leaf)",
   "zh": "自由能导向分支剪枝",
   "level": "l3"
  },
  "CAP_62328661": {
   "en": "Candidate Action Proposal Generation (Leaf)",
   "zh": "候选动作提案生成",
   "level": "l3"
  },
  "CAP_6a4a9cfe": {
   "en": "Action-Conditioned World Model Rollout (Leaf)",
   "zh": "动作条件世界模型推演",
   "level": "l3"
  },
  "CAP_299ee02a": {
   "en": "Counterfactual Outcome Evaluation and Correction (Leaf)",
   "zh": "反事实后果评估与修正",
   "level": "l3"
  },
  "CAP_63802745b404": {
   "en": "Candidate Action Optimization and Selection (Leaf)",
   "zh": "候选动作优化与选择",
   "level": "l3"
  },
  "CAP_056d7e13": {
   "en": "Discrete Latent Representation",
   "zh": "离散潜变量表征",
   "level": "l3"
  },
  "CAP_25bfe940": {
   "en": "Shortcut Forcing",
   "zh": "快捷强制",
   "level": "l3"
  },
  "CAP_3988ed03": {
   "en": "Counterfactual Experience Augmentation Framework",
   "zh": "反事实经验增广框架",
   "level": "l2"
  },
  "CAP_40157999": {
   "en": "SE(3) Equivariant Transformation",
   "zh": "SE(3)等变变换",
   "level": "l3"
  },
  "CAP_5bb56254": {
   "en": "VLM-based Counterfactual Labeling",
   "zh": "VLM反事实标签生成",
   "level": "l3"
  },
  "CAP_c4ff5120": {
   "en": "State Transition Counterfactual Inference",
   "zh": "状态转移反事实推断",
   "level": "l3"
  },
  "CAP_f828bc13": {
   "en": "Counterfactual Action Set Expansion",
   "zh": "反事实动作集扩张",
   "level": "l3"
  },
  "CAP_717d416d": {
   "en": "Action-Conditioned Video World Model",
   "zh": "动作条件视频世界模型",
   "level": "l2"
  },
  "CAP_3b7c2d91": {
   "en": "Hallucination Detection and Mitigation",
   "zh": "幻觉检测与抑制",
   "level": "l3"
  },
  "CAP_1e7ede07": {
   "en": "Policy-Paced Synthetic Experience Management",
   "zh": "策略步调合成经验管理",
   "level": "l2"
  },
  "CAP_d2b101d7": {
   "en": "Policy-Paced Learning (PPL)",
   "zh": "策略步调学习",
   "level": "l3"
  },
  "CAP_7bcff744": {
   "en": "Policy-Model Co-Evolution",
   "zh": "策略-模型共进化对齐",
   "level": "l2"
  },
  "CAP_2416dd29": {
   "en": "Policy-Aligned Co-Evolution (PACE)",
   "zh": "策略对齐共进化",
   "level": "l3"
  },
  "CAP_ad9d1956": {
   "en": "Data Collection and IDM Building",
   "zh": "数据收集与逆动力学模型构建",
   "level": "l2"
  },
  "CAP_d2a118cc": {
   "en": "Autonomous Exploration Collection",
   "zh": "自主探索数据采集",
   "level": "l3"
  },
  "CAP_1839a086": {
   "en": "Inverse Dynamics Model Training",
   "zh": "逆动力学模型训练",
   "level": "l3"
  },
  "CAP_5ea33cf8": {
   "en": "Action Inference and Policy Learning",
   "zh": "动作推断与策略学习",
   "level": "l2"
  },
  "CAP_086a862f": {
   "en": "Expert Demonstration Action Inference",
   "zh": "专家演示动作推断",
   "level": "l3"
  },
  "CAP_3f2f48e2": {
   "en": "Expert State Transition Extraction",
   "zh": "专家状态转移提取",
   "level": "l3"
  },
  "CAP_9531c339": {
   "en": "Adversarial Reward Model Training",
   "zh": "对抗奖励模型训练",
   "level": "l3"
  },
  "CAP_011cd68f": {
   "en": "Adversarial Convergence Check",
   "zh": "对抗收敛判定",
   "level": "l3"
  },
  "CAP_6dc189d4": {
   "en": "Expert State Distribution Extraction",
   "zh": "专家状态分布提取",
   "level": "l3"
  },
  "CAP_d0c3d2ec": {
   "en": "Surrogate Reward Estimation",
   "zh": "代理奖励/密度比估计",
   "level": "l2"
  },
  "CAP_7f2e71dd": {
   "en": "State Discriminator Training",
   "zh": "状态判别器训练",
   "level": "l3"
  },
  "CAP_63be4d24": {
   "en": "Dual Value Function Learning",
   "zh": "对偶值函数学习",
   "level": "l3"
  },
  "CAP_27838daa": {
   "en": "Offline Policy Learning with Surrogate Rewards",
   "zh": "代理奖励离线策略学习",
   "level": "l3"
  },
  "CAP_a5586417": {
   "en": "Structured Motion Primitive Skill Acquisition",
   "zh": "结构化运动原语技能获取",
   "level": "l3"
  },
  "CAP_ae0b0d16": {
   "en": "DMP Trajectory Learning And Generalization",
   "zh": "动态运动基元轨迹学习与泛化",
   "level": "l3"
  },
  "CAP_b1bd6c3e": {
   "en": "TP-GMM Task Parameterized Skill Modeling",
   "zh": "任务参数化高斯混合模型技能建模",
   "level": "l3"
  },
  "CAP_f0967812": {
   "en": "Movement Primitive Basis Function Weight Fitting",
   "zh": "运动原语基函数权重拟合",
   "level": "l3"
  },
  "CAP_6e699380": {
   "en": "Latent Skill Discovery And Hierarchical Imitation",
   "zh": "隐式技能发现与分层模仿",
   "level": "l3"
  },
  "CAP_4274094f": {
   "en": "Unsupervised Sequence Segmentation",
   "zh": "无监督序列分割与技能编码",
   "level": "l3"
  },
  "CAP_8f738198": {
   "en": "Variational Option Discovery VALOR",
   "zh": "变分选项发现（VALOR）",
   "level": "l3"
  },
  "CAP_235a8578": {
   "en": "Option Discovery Via Compression LOVE",
   "zh": "基于压缩的选项发现（LOVE）",
   "level": "l3"
  },
  "CAP_ad399c76": {
   "en": "VLM Action-Token Co-Fine-Tuning",
   "zh": "VLM 动作 Token 联合微调",
   "level": "l3"
  },
  "CAP_12caaa87": {
   "en": "Trajectory Execution Control",
   "zh": "轨迹执行控制",
   "level": "l3"
  },
  "CAP_5d85b3ba": {
   "en": "Container Image Registry Publish",
   "zh": "容器镜像仓库发布",
   "level": "l3"
  },
  "CAP_ee1c0e61": {
   "en": "Container Image Definition",
   "zh": "容器镜像定义",
   "level": "l3"
  },
  "CAP_457f34b8": {
   "en": "Container Image Build for Robot Deployment",
   "zh": "容器镜像构建（机器人部署）",
   "level": "l3"
  },
  "CAP_b348d2b8": {
   "en": "Simulation Container Image Build",
   "zh": "仿真容器镜像构建",
   "level": "l3"
  },
  "CAP_69a9c79e": {
   "en": "OSTree Image-Mode Immutable Edge OS",
   "zh": "镜像化 OS 不可变边缘部署",
   "level": "l2"
  },
  "CAP_226bc6b7": {
   "en": "OSTree Commit Sign and Publish",
   "zh": "OSTree 提交签名与发布",
   "level": "l3"
  },
  "CAP_d6c3306b": {
   "en": "Bootc Container-Native OS Update",
   "zh": "bootc 容器原生 OS 更新",
   "level": "l3"
  },
  "CAP_dd95459d": {
   "en": "System Container Image Baking",
   "zh": "系统容器镜像烘焙",
   "level": "l3"
  },
  "CAP_6d789c78": {
   "en": "LXD Hardware Passthrough Profile",
   "zh": "LXD 硬件透传 Profile",
   "level": "l3"
  },
  "CAP_c92b9fe0": {
   "en": "Immutable Image Publish and Distribution",
   "zh": "不可变镜像发布与分发",
   "level": "l3"
  },
  "CAP_42c0bfe0": {
   "en": "Immutable Container Deployment",
   "zh": "不可变容器部署",
   "level": "l3"
  },
  "CAP_5100d087": {
   "en": "Container Snapshot and Rollback",
   "zh": "容器快照与回滚",
   "level": "l3"
  },
  "CAP_03211a50": {
   "en": "System Container Live Migration",
   "zh": "系统容器热迁移",
   "level": "l3"
  },
  "CAP_3a8539ba": {
   "en": "Energy-Tank Passivity-Guaranteed Variable Impedance Control",
   "zh": "能量罐被动性保障的变阻抗控制",
   "level": "l2"
  },
  "CAP_6817dbc1": {
   "en": "Passivity-Aware Impedance Parameter Update",
   "zh": "被动性感知阻抗参数更新",
   "level": "l3"
  },
  "CAP_a863544b": {
   "en": "CBF-QP Safety-Filtered Impedance Control",
   "zh": "CBF-QP 安全滤波的阻抗控制",
   "level": "l2"
  },
  "CAP_88fc7ae9": {
   "en": "Safety Constraint CBF Construction",
   "zh": "安全约束障碍函数构造",
   "level": "l3"
  },
  "CAP_9a1fec41": {
   "en": "Safe Impedance Gain Optimization",
   "zh": "安全阻抗增益在线优化",
   "level": "l3"
  },
  "CAP_5b61c30e": {
   "en": "Time-Varying Impedance Gain Generation",
   "zh": "时变阻抗增益生成",
   "level": "l3"
  },
  "CAP_536bb3b0": {
   "en": "Safety-Critic Risk Evaluation",
   "zh": "安全评论员风险评价",
   "level": "l3"
  },
  "CAP_9525f6a3": {
   "en": "Conservative Impedance Recovery Hold",
   "zh": "保守阻抗恢复保持",
   "level": "l3"
  },
  "CAP_990cedb0": {
   "en": "Nullspace Joint Impedance Projection",
   "zh": "零空间关节阻抗投影",
   "level": "l3"
  },
  "CAP_1ec46bc3": {
   "en": "Regularized Impedance Reward",
   "zh": "正则化阻抗奖励",
   "level": "l3"
  },
  "CAP_279b6b18": {
   "en": "Anisotropic Stiffness Tuning",
   "zh": "各向异性刚度整定",
   "level": "l3"
  },
  "CAP_bb94684f": {
   "en": "Adaptive Impedance Anti-Slip Grasping",
   "zh": "可变阻抗抗滑脱抓取",
   "level": "l3"
  },
  "CAP_7545749c": {
   "en": "Impedance Safety Smoothing",
   "zh": "阻抗安全平滑",
   "level": "l3"
  },
  "CAP_27bedf86": {
   "en": "Hybrid Force-Position Servo",
   "zh": "力位混合伺服控制",
   "level": "l3"
  },
  "CAP_2a3b4c20": {
   "en": "RCC Deviation Compensation",
   "zh": "RCC 偏差补偿",
   "level": "l3"
  },
  "CAP_2a3b4c19": {
   "en": "SCARA Compliant Trajectory Motion",
   "zh": "SCARA 柔顺轨迹运动",
   "level": "l3"
  },
  "CAP_3eeb1816": {
   "en": "Passivity-Guaranteed Variable Impedance Control",
   "zh": "被动性保证变阻抗控制",
   "level": "l3"
  },
  "CAP_d7996b5f": {
   "en": "Social Reward Inference via IRL",
   "zh": "基于逆强化学习的社交奖励推断",
   "level": "l3"
  },
  "CAP_f8f1f581": {
   "en": "Variable Impedance Force Tracking Front-End",
   "zh": "变阻抗力跟踪前端",
   "level": "l3"
  },
  "CAP_cacc726d": {
   "en": "Render-and-Compare Tracking",
   "zh": "渲染-对比位姿跟踪",
   "level": "l2"
  },
  "CAP_92ed4596": {
   "en": "Photometric-Geometric Tracking",
   "zh": "光度-几何联合跟踪",
   "level": "l3"
  },
  "CAP_e0e330b2": {
   "en": "Camera Tracking via Render-and-Compare",
   "zh": "渲染-对比位姿追踪",
   "level": "l3"
  },
  "CAP_21697726": {
   "en": "Single MLP Implicit Scene Representation",
   "zh": "单MLP隐式场景表示",
   "level": "l3"
  },
  "CAP_17decf44": {
   "en": "Octree Sparse Feature Query",
   "zh": "稀疏八叉树特征查询",
   "level": "l3"
  },
  "CAP_7f243ed3": {
   "en": "Differentiable Volume Rendering",
   "zh": "可微体渲染",
   "level": "l3"
  },
  "CAP_d115c7b8": {
   "en": "Shallow MLP SDF-RGB Decoder",
   "zh": "浅层MLP SDF-RGB解码器",
   "level": "l3"
  },
  "CAP_d8594eff": {
   "en": "Shared MLP SDF Decoder",
   "zh": "共享MLP SDF解码器",
   "level": "l3"
  },
  "CAP_59a6c914": {
   "en": "Alternating Map Optimization",
   "zh": "交替建图优化",
   "level": "l3"
  },
  "CAP_2e89ddc1": {
   "en": "BCE SDF Optimization",
   "zh": "二值交叉熵SDF优化",
   "level": "l3"
  },
  "CAP_4cbfd17e": {
   "en": "Eikonal Regularization",
   "zh": "Eikonal正则化",
   "level": "l3"
  },
  "CAP_eb349cdf": {
   "en": "Incremental Map Update with Elastic Regularization",
   "zh": "弹性正则化增量地图更新",
   "level": "l3"
  },
  "CAP_55629067": {
   "en": "Morton Code Hash Table Management",
   "zh": "莫顿码哈希表管理",
   "level": "l3"
  },
  "CAP_a469ba96": {
   "en": "Dynamic AABB Tree Broadphase Pipeline",
   "zh": "动态AABB树宽相检测管线",
   "level": "l2"
  },
  "CAP_f53121ee": {
   "en": "GJK/EPA Narrowphase Pipeline",
   "zh": "GJK/EPA窄相检测管线",
   "level": "l2"
  },
  "CAP_60e0385a": {
   "en": "Contact Manifold Persistence Pipeline",
   "zh": "接触流形持久化管线",
   "level": "l2"
  },
  "CAP_96f24612": {
   "en": "Island Detection and Assembly Pipeline",
   "zh": "岛屿检测与组装管线",
   "level": "l2"
  },
  "CAP_596755d6": {
   "en": "Island Detection and Constraint Matrix Assembly",
   "zh": "岛屿检测与约束矩阵组装",
   "level": "l3"
  },
  "CAP_d6879924": {
   "en": "Sequential Impulse PGS Solver Pipeline",
   "zh": "顺序冲量PGS求解管线",
   "level": "l2"
  },
  "CAP_08bb3cf2": {
   "en": "Baumgarte Position Correction Pipeline",
   "zh": "Baumgarte位置修正管线",
   "level": "l2"
  },
  "CAP_d39d4aac": {
   "en": "Semi-implicit Euler Integration Pipeline",
   "zh": "半隐式欧拉积分管线",
   "level": "l2"
  },
  "CAP_6ee6f94c": {
   "en": "Sleep and Wake Management Pipeline",
   "zh": "睡眠与激活管理管线",
   "level": "l2"
  },
  "CAP_fb07cff2": {
   "en": "Rigid Body Sleep and Wake Management",
   "zh": "刚体睡眠与激活管理",
   "level": "l3"
  },
  "CAP_54034862": {
   "en": "Collision Detection and Contact Pair Generation Pipeline",
   "zh": "碰撞检测与接触对生成管线",
   "level": "l2"
  },
  "CAP_3dc68968": {
   "en": "Collision Detection and Contact Pair Generation",
   "zh": "碰撞检测与接触对生成",
   "level": "l3"
  },
  "CAP_da6d025c": {
   "en": "LCP Contact Constraint Assembly Pipeline",
   "zh": "LCP接触约束构造管线",
   "level": "l2"
  },
  "CAP_ac5148a8": {
   "en": "LCP Contact Constraint Assembly",
   "zh": "LCP接触约束构造",
   "level": "l3"
  },
  "CAP_396567d6": {
   "en": "LCP/NCP Complementarity Solver Pipeline",
   "zh": "LCP/NCP互补问题求解管线",
   "level": "l2"
  },
  "CAP_effac664": {
   "en": "LCP Solver (Dantzig/Lemke)",
   "zh": "LCP求解器(Dantzig/Lemke)",
   "level": "l3"
  },
  "CAP_744ea814": {
   "en": "NCP Solver (Bisection MLCP/ADMM)",
   "zh": "NCP求解器(二分法MLCP/ADMM)",
   "level": "l3"
  },
  "CAP_fcbc0e8f": {
   "en": "Linearized Pyramid Friction Cone",
   "zh": "线性化金字塔摩擦锥",
   "level": "l3"
  },
  "CAP_f08b86d0": {
   "en": "Impulse Application and State Update Pipeline",
   "zh": "冲量施加与状态更新管线",
   "level": "l2"
  },
  "CAP_02b9a8bd": {
   "en": "Constraint Drift Correction Pipeline",
   "zh": "约束漂移修正管线",
   "level": "l2"
  },
  "CAP_b87c56ac": {
   "en": "Generalized Coordinate Forward Kinematics Pipeline",
   "zh": "广义坐标正向运动学管线",
   "level": "l2"
  },
  "CAP_10800301": {
   "en": "CRB Mass Matrix Assembly Pipeline",
   "zh": "CRB惯性矩阵组装管线",
   "level": "l2"
  },
  "CAP_9a86c244": {
   "en": "CRB Mass Matrix Assembly",
   "zh": "CRB惯性矩阵组装",
   "level": "l3"
  },
  "CAP_d2243717": {
   "en": "Convex Collision Detection and Constraint Assembly Pipeline",
   "zh": "凸体碰撞检测与约束构建管线",
   "level": "l2"
  },
  "CAP_00bcdf98": {
   "en": "Constraint Island Decomposition Pipeline",
   "zh": "约束岛屿分解管线",
   "level": "l2"
  },
  "CAP_1967b8af": {
   "en": "Constraint Island Decomposition",
   "zh": "约束岛屿分解",
   "level": "l3"
  },
  "CAP_ab84313e": {
   "en": "RNE Bias Force Computation Pipeline",
   "zh": "RNE偏置力计算管线",
   "level": "l2"
  },
  "CAP_2af63082": {
   "en": "RNE Bias Force Computation",
   "zh": "RNE偏置力计算",
   "level": "l3"
  },
  "CAP_fcdeeb63": {
   "en": "Passive and Actuator Force Computation Pipeline",
   "zh": "被动力与执行器力计算管线",
   "level": "l2"
  },
  "CAP_df18676d": {
   "en": "Passive and Actuator Force Computation",
   "zh": "被动力与执行器力计算",
   "level": "l3"
  },
  "CAP_db1987d4": {
   "en": "Convex Optimization Constraint Force Solver Pipeline",
   "zh": "凸优化约束力求解管线",
   "level": "l2"
  },
  "CAP_c9032a75": {
   "en": "Convex Optimization Constraint Force Solver",
   "zh": "凸优化约束力求解器",
   "level": "l3"
  },
  "CAP_d4a01827": {
   "en": "Soft Contact Parameterization",
   "zh": "软接触参数化建模",
   "level": "l3"
  },
  "CAP_784a0b24": {
   "en": "Smooth Acceleration Computation Pipeline",
   "zh": "光滑加速度计算管线",
   "level": "l2"
  },
  "CAP_dc45f6f3": {
   "en": "Smooth Acceleration Computation",
   "zh": "光滑加速度计算",
   "level": "l3"
  },
  "CAP_53249ba1": {
   "en": "Numerical Integrator Pipeline",
   "zh": "数值积分管线",
   "level": "l2"
  },
  "CAP_47ba87f8": {
   "en": "Island Count Decision",
   "zh": "岛屿数量决策",
   "level": "l3"
  },
  "CAP_9db47432": {
   "en": "Solver Type Decision",
   "zh": "求解器类型决策",
   "level": "l3"
  },
  "CAP_9ee27489": {
   "en": "Friction Cone Decision",
   "zh": "摩擦锥类型决策",
   "level": "l3"
  },
  "CAP_e75e87c3": {
   "en": "Solver Branch Merge",
   "zh": "求解器分支合并",
   "level": "l3"
  },
  "CAP_f84f3dda": {
   "en": "IMU Data Preprocessing and Error Compensation",
   "zh": "IMU数据预处理与误差补偿",
   "level": "l2"
  },
  "CAP_9b172c97": {
   "en": "Error-State EKF Estimation",
   "zh": "误差状态EKF估计",
   "level": "l2"
  },
  "CAP_4a468642": {
   "en": "High-Frequency Odometry Output",
   "zh": "高频里程计输出",
   "level": "l2"
  },
  "CAP_0d40aa42": {
   "en": "Allan Variance Analysis",
   "zh": "Allan方差IMU噪声建模",
   "level": "l3"
  },
  "CAP_96ed044a": {
   "en": "SINS Attitude Update",
   "zh": "捷联惯导姿态更新",
   "level": "l3"
  },
  "CAP_884121d2": {
   "en": "SINS Position Update",
   "zh": "捷联惯导位置更新",
   "level": "l3"
  },
  "CAP_08c80cf2": {
   "en": "EKF Measurement Update",
   "zh": "EKF外部观测更新",
   "level": "l3"
  },
  "CAP_5743dbe8": {
   "en": "PDR IMU Acquisition",
   "zh": "PDR的IMU采集与步态周期检测",
   "level": "l2"
  },
  "CAP_cdc01b3a": {
   "en": "Gait Stance Detection",
   "zh": "步态站立相检测",
   "level": "l3"
  },
  "CAP_e2f731db": {
   "en": "Gait Phase Segmentation",
   "zh": "步态相位分割",
   "level": "l3"
  },
  "CAP_2cd4c978": {
   "en": "PDR SINS Mechanization",
   "zh": "足绑SINS机械编排",
   "level": "l2"
  },
  "CAP_8546cadf": {
   "en": "PDR EKF Correction",
   "zh": "ZUPT辅助EKF误差校正",
   "level": "l2"
  },
  "CAP_6ae4ff37": {
   "en": "ZUPT-aided EKF Error State Correction",
   "zh": "零速辅助EKF误差状态校正",
   "level": "l3"
  },
  "CAP_7d71b2bd": {
   "en": "Zero Angular Rate Update Correction",
   "zh": "零角速率更新校正",
   "level": "l3"
  },
  "CAP_c7d307b5": {
   "en": "PDR Output",
   "zh": "PDR航向抑制与轨迹输出",
   "level": "l2"
  },
  "CAP_d5b1c1e3": {
   "en": "Heading Drift Mitigation",
   "zh": "航向漂移抑制",
   "level": "l3"
  },
  "CAP_7cc4a771": {
   "en": "IMU Windowing and Coordinate Normalization",
   "zh": "IMU窗口化与坐标系归一化",
   "level": "l2"
  },
  "CAP_b866f411": {
   "en": "IMU Window Acquisition",
   "zh": "IMU数据窗口化采集",
   "level": "l3"
  },
  "CAP_eaf2c513": {
   "en": "HACF Normalization",
   "zh": "朝向无关坐标系归一化",
   "level": "l3"
  },
  "CAP_62fca124": {
   "en": "Deep Inertial Backbone Extraction",
   "zh": "深度IMU骨干特征提取",
   "level": "l2"
  },
  "CAP_1a081961": {
   "en": "Deep IMU Backbone",
   "zh": "深度IMU骨干网络",
   "level": "l3"
  },
  "CAP_24badb33": {
   "en": "Velocity Regression Head",
   "zh": "速度回归与不确定性估计",
   "level": "l3"
  },
  "CAP_cefb3cae": {
   "en": "Robust Velocity Loss",
   "zh": "鲁棒速度损失函数",
   "level": "l3"
  },
  "CAP_bed76e1d": {
   "en": "Tightly-Coupled Neural-EKF Filtering",
   "zh": "神经网络紧耦合EKF滤波",
   "level": "l2"
  },
  "CAP_e7b92971": {
   "en": "Learned Trajectory Integration Output",
   "zh": "学习型轨迹积分与输出",
   "level": "l2"
  },
  "CAP_b8d0c022": {
   "en": "Visual-Inertial Joint Initialization",
   "zh": "视觉惯性联合初始化",
   "level": "l2"
  },
  "CAP_ac97f8e7": {
   "en": "IMU Raw Data Acquisition and Preprocessing",
   "zh": "IMU原始数据采集与预处理",
   "level": "l2"
  },
  "CAP_1f9b4635": {
   "en": "Preintegration Noise Covariance Iterative Propagation",
   "zh": "预积分噪声协方差迭代传播",
   "level": "l3"
  },
  "CAP_b7f23eac": {
   "en": "Bias Jacobian and First-order Relinearization",
   "zh": "零偏雅可比与一阶重线性化",
   "level": "l3"
  },
  "CAP_6922225e": {
   "en": "Visual-LiDAR Observation Factor Construction",
   "zh": "视觉/LiDAR观测因子构造",
   "level": "l3"
  },
  "CAP_4b04d05a": {
   "en": "Nonlinear Least Squares Joint Solve",
   "zh": "非线性最小二乘联合求解",
   "level": "l3"
  },
  "CAP_e2962f4c": {
   "en": "Gravity-Velocity-Scale Joint Solving",
   "zh": "重力/速度/尺度联合求解",
   "level": "l3"
  },
  "CAP_b2d30179": {
   "en": "Gravity Refinement",
   "zh": "重力方向精化",
   "level": "l3"
  },
  "CAP_7820816b": {
   "en": "IESKF IMU Data Acquisition and Preprocessing",
   "zh": "IESKF范式IMU数据采集与预处理",
   "level": "l3"
  },
  "CAP_e47e2d24": {
   "en": "IESKF Predict Step",
   "zh": "IESKF预测步",
   "level": "l2"
  },
  "CAP_54ecb536": {
   "en": "Error-State Transition Matrix Phi Construction",
   "zh": "误差状态转移矩阵Phi构造",
   "level": "l3"
  },
  "CAP_8aaada4f": {
   "en": "Error-State Nominal State Propagation",
   "zh": "误差状态Nominal状态前向积分",
   "level": "l3"
  },
  "CAP_3df529fb": {
   "en": "IESKF Measurement Update Step",
   "zh": "IESKF量测更新步",
   "level": "l2"
  },
  "CAP_816c51cc": {
   "en": "MSCKF Augmentation and Update",
   "zh": "MSCKF克隆增广与更新",
   "level": "l2"
  },
  "CAP_f141eff8": {
   "en": "MSCKF Cloned Pose Augmentation",
   "zh": "MSCKF克隆位姿增广",
   "level": "l3"
  },
  "CAP_0fbb7e6d": {
   "en": "Nullspace Feature Elimination Update",
   "zh": "零空间特征消去测量更新",
   "level": "l3"
  },
  "CAP_50aacbbb": {
   "en": "Equivariant IMU Data Acquisition and Preprocessing",
   "zh": "等变范式IMU数据采集与预处理",
   "level": "l3"
  },
  "CAP_37689105": {
   "en": "Gal(3) Equivariant Preintegration",
   "zh": "Gal(3)群等变预积分",
   "level": "l2"
  },
  "CAP_17db3e8d": {
   "en": "Gal(3) Group State Representation",
   "zh": "Gal(3)群状态表示",
   "level": "l3"
  },
  "CAP_5fb1ba01": {
   "en": "Equivariant Preintegration Accumulation",
   "zh": "等变预积分累加",
   "level": "l3"
  },
  "CAP_a13ffa98": {
   "en": "Equivariant Preintegration Error Computation",
   "zh": "等变预积分误差计算",
   "level": "l3"
  },
  "CAP_7305bc31": {
   "en": "Equivariant Error Dynamics Linearization",
   "zh": "等变误差动力学线性化",
   "level": "l3"
  },
  "CAP_29815934": {
   "en": "Equivariant Factor Graph Integration",
   "zh": "等变预积分因子图集成",
   "level": "l2"
  },
  "CAP_c9e71ced": {
   "en": "Equivariant Preintegration Factor",
   "zh": "等变预积分因子",
   "level": "l3"
  },
  "CAP_67c38db0": {
   "en": "Equivariant Bias First-order Update",
   "zh": "等变零偏一阶更新",
   "level": "l3"
  },
  "CAP_51ce4d33": {
   "en": "Consistency Evaluation (ANEES)",
   "zh": "一致性评估(ANEES)",
   "level": "l3"
  },
  "CAP_5b11046c": {
   "en": "Average Linearization Error (ALE)",
   "zh": "平均线性化误差(ALE)",
   "level": "l3"
  },
  "CAP_7e36f573": {
   "en": "Gazebo IMU Sensor Simulation Pipeline",
   "zh": "Gazebo IMU传感器仿真管线",
   "level": "l2"
  },
  "CAP_20efe418": {
   "en": "IMU Noise Model Injection",
   "zh": "IMU噪声模型注入",
   "level": "l3"
  },
  "CAP_6b42f2e0": {
   "en": "IMU Message Publication",
   "zh": "IMU消息发布",
   "level": "l3"
  },
  "CAP_49c15029": {
   "en": "GPU Accelerated IMU Simulation Pipeline",
   "zh": "GPU加速IMU仿真管线",
   "level": "l2"
  },
  "CAP_d2c458ae": {
   "en": "GPU Parallel IMU Data Extraction",
   "zh": "GPU并行IMU数据提取",
   "level": "l3"
  },
  "CAP_8f9fb538": {
   "en": "IMU Noise Parallel Injection",
   "zh": "IMU噪声并行注入",
   "level": "l3"
  },
  "CAP_143b4039": {
   "en": "Kalibr IMU Noise Calibration and Simulation Loop",
   "zh": "Kalibr IMU噪声标定与仿真闭环",
   "level": "l2"
  },
  "CAP_cba30888": {
   "en": "Allan Variance Noise Parameter Estimation",
   "zh": "Allan方差噪声参数估计",
   "level": "l3"
  },
  "CAP_100868c4": {
   "en": "IMU Simulation Parametric Modeling",
   "zh": "IMU仿真参数化建模",
   "level": "l3"
  },
  "CAP_fe5654a2": {
   "en": "Gazebo Physics Data Extraction",
   "zh": "Gazebo物理数据提取",
   "level": "l3"
  },
  "CAP_43b079f9": {
   "en": "Tightly-Coupled Visual-Inertial Odometry",
   "zh": "紧耦合视觉惯性里程计",
   "level": "l2"
  },
  "CAP_463cb4d5": {
   "en": "Tightly-Coupled Back-End Optimization",
   "zh": "紧耦合后端优化",
   "level": "l2"
  },
  "CAP_91d2505b": {
   "en": "Global Consistency & Loop Closure",
   "zh": "全局一致性与回环",
   "level": "l2"
  },
  "CAP_00da329d": {
   "en": "Visual-Inertial Initialization (SfM + Alignment)",
   "zh": "视觉惯性初始化（SfM+对齐）",
   "level": "l3"
  },
  "CAP_a35f7fd6": {
   "en": "Loop Closure and Pose Graph",
   "zh": "回环检测与位姿图优化",
   "level": "l2"
  },
  "CAP_af311482": {
   "en": "Sensor Calibration and Synchronization",
   "zh": "传感器标定与同步",
   "level": "l2"
  },
  "CAP_ea877c09": {
   "en": "Visual Frontend",
   "zh": "视觉前端",
   "level": "l2"
  },
  "CAP_85cbabf4": {
   "en": "Visual-Inertial Backend Optimization",
   "zh": "视觉惯性后端优化",
   "level": "l2"
  },
  "CAP_a81a0003": {
   "en": "Feature Detection and Description",
   "zh": "特征检测与描述",
   "level": "l3"
  },
  "CAP_0d9d3678": {
   "en": "IMU Preintegration on Manifold",
   "zh": "流形上 IMU 预积分",
   "level": "l3"
  },
  "CAP_a3ad280492": {
   "en": "Sliding Window Visual-Inertial BA",
   "zh": "滑窗视觉惯性 BA",
   "level": "l3"
  },
  "CAP_142e97b6": {
   "en": "Loosely-Coupled Visual-Inertial SLAM Pipeline",
   "zh": "松耦合视觉-惯性SLAM流水线",
   "level": "l2"
  },
  "CAP_fdebfd2d": {
   "en": "Visual Front-End Pose Estimation",
   "zh": "视觉前端位姿估计",
   "level": "l3"
  },
  "CAP_6260c81c": {
   "en": "Loosely-Coupled EKF Fusion",
   "zh": "松耦合EKF融合",
   "level": "l3"
  },
  "CAP_6d1063e0": {
   "en": "Map Building & Atlas Management (Loosely-Coupled)",
   "zh": "松耦合地图构建与Atlas管理",
   "level": "l3"
  },
  "CAP_5a8b9d35": {
   "en": "Loosely-Coupled Fusion",
   "zh": "松耦合融合",
   "level": "l2"
  },
  "CAP_8bddc88f": {
   "en": "Visual Pose Input",
   "zh": "视觉位姿输入",
   "level": "l3"
  },
  "CAP_d2ea2bb4": {
   "en": "IMU Data Input and Sync",
   "zh": "IMU数据输入与同步",
   "level": "l3"
  },
  "CAP_5bb23b6b": {
   "en": "Filter Initialization",
   "zh": "滤波器初始化",
   "level": "l3"
  },
  "CAP_8f852881": {
   "en": "IMU-Driven State Prediction",
   "zh": "IMU驱动状态预测",
   "level": "l3"
  },
  "CAP_8643ee21": {
   "en": "Visual Pose Measurement Update",
   "zh": "视觉位姿测量更新",
   "level": "l3"
  },
  "CAP_b550b2ef": {
   "en": "Degenerate-Robust Visual-Inertial Odometry",
   "zh": "退化鲁棒视觉惯性里程计",
   "level": "l2"
  },
  "CAP_ea1f9d5a": {
   "en": "OpenVINS Filter VIO-SLAM Pipeline",
   "zh": "OpenVINS 滤波式视觉惯性 SLAM 流水线",
   "level": "l3"
  },
  "CAP_42263f46": {
   "en": "Non-Linear Factor Recovery",
   "zh": "非线性因子恢复",
   "level": "l3"
  },
  "CAP_e123f8f0": {
   "en": "Non-Projective TSDF Integration",
   "zh": "非投影TSDF融合",
   "level": "l3"
  },
  "CAP_13548695": {
   "en": "Global Ferns Surfel Deformation",
   "zh": "基于全局Fern的Surfel变形闭环",
   "level": "l3"
  },
  "CAP_dd77ebcc": {
   "en": "Deformation Graph Volume Warp",
   "zh": "变形图体积warp",
   "level": "l3"
  },
  "CAP_33a07e2b": {
   "en": "Surfel Local Retriangulation",
   "zh": "Surfel局部重三角化",
   "level": "l3"
  },
  "CAP_0d5530af": {
   "en": "Dense Bundle Adjustment",
   "zh": "稠密束调整",
   "level": "l3"
  },
  "CAP_f7b6330a": {
   "en": "Object-Level 4D Spatio-Temporal Mapping",
   "zh": "物体级4D时空映射",
   "level": "l2"
  },
  "CAP_0b5571a9": {
   "en": "Panoptic Multi-TSDF Submap Management",
   "zh": "全景多TSDF子图管理",
   "level": "l3"
  },
  "CAP_69715f70": {
   "en": "Depth Image Undistortion and Pose Input",
   "zh": "深度图去畸变与位姿输入",
   "level": "l3"
  },
  "CAP_f26565e0": {
   "en": "Marching Cubes Mesh Extraction from TSDF",
   "zh": "从TSDF提取Marching Cubes网格",
   "level": "l3"
  },
  "CAP_d3358f14": {
   "en": "TSDF Change Detection and Local Map Update",
   "zh": "TSDF变化检测与局部地图更新",
   "level": "l3"
  },
  "CAP_af23197b": {
   "en": "Model-to-Model Registration",
   "zh": "模型到模型配准",
   "level": "l3"
  },
  "CAP_ba8ea60e": {
   "en": "Surfel Confidence Decay and Adaptation",
   "zh": "Surfel 置信度衰减与几何适应",
   "level": "l3"
  },
  "CAP_3d336782": {
   "en": "Spatio-Temporal Map Query Service",
   "zh": "时空地图查询服务",
   "level": "l3"
  },
  "CAP_83e0f014": {
   "en": "Volumetric Raycasting Update",
   "zh": "体素光线投射更新",
   "level": "l3"
  },
  "CAP_82517b8a": {
   "en": "Semantic Object-Level Mapping",
   "zh": "语义物体级地图",
   "level": "l2"
  },
  "CAP_ca5e3de6": {
   "en": "Scene Graph Incremental Update",
   "zh": "场景图增量更新",
   "level": "l3"
  },
  "CAP_b5036d33": {
   "en": "Volumetric Map Fusion",
   "zh": "体积地图融合",
   "level": "l2"
  },
  "CAP_247448f1": {
   "en": "Neural Implicit Incremental Map Reconstruction",
   "zh": "神经隐式增量地图重构",
   "level": "l2"
  },
  "CAP_93125da8": {
   "en": "Neural Implicit Map Construction",
   "zh": "神经隐式地图构建",
   "level": "l2"
  },
  "CAP_87b0f886": {
   "en": "Neural Implicit Scene Representation Training",
   "zh": "神经隐式场景表征训练",
   "level": "l3"
  },
  "CAP_0fedda59": {
   "en": "Neural Implicit Change Detection and Localization",
   "zh": "神经隐式变化检测与定位",
   "level": "l2"
  },
  "CAP_2006e41c": {
   "en": "Implicit Map Render-and-Compare Change Detection",
   "zh": "隐式地图重渲染比对变化检测",
   "level": "l3"
  },
  "CAP_0278bf02": {
   "en": "Local Implicit Grid-Cell Relocalization",
   "zh": "局部隐式网格单元定位",
   "level": "l3"
  },
  "CAP_a7a24d67": {
   "en": "Local Incremental Map Update",
   "zh": "局部隐式增量更新",
   "level": "l2"
  },
  "CAP_d9f6c37a": {
   "en": "Local Implicit Weight Fine-Tuning",
   "zh": "局部隐式权重微调",
   "level": "l3"
  },
  "CAP_77e04754": {
   "en": "Helper NeRF Reconstruction for Revealed Regions",
   "zh": "暴露区Helper NeRF重建",
   "level": "l3"
  },
  "CAP_c6e6e430": {
   "en": "Coordinate Warp Update for Moved Objects",
   "zh": "移动物体坐标回绕更新",
   "level": "l3"
  },
  "CAP_672ea14f": {
   "en": "Incremental Update Verification",
   "zh": "增量更新一致性验证",
   "level": "l2"
  },
  "CAP_20d5e81f": {
   "en": "Consistent Re-Render Verification",
   "zh": "一致性重渲染验证",
   "level": "l3"
  },
  "CAP_4b2390cf": {
   "en": "Graphplan-Based Plan Repair",
   "zh": "图计划修复",
   "level": "l2"
  },
  "CAP_d0e68c60": {
   "en": "Planning Graph Inconsistency Diagnosis",
   "zh": "规划图失效诊断",
   "level": "l3"
  },
  "CAP_1ff1e680": {
   "en": "Plan Head-Middle-Tail Partitioning",
   "zh": "计划三段划分",
   "level": "l3"
  },
  "CAP_c75edbee": {
   "en": "Replanning Window Setting",
   "zh": "重规划窗口设定",
   "level": "l3"
  },
  "CAP_341b1a68": {
   "en": "Windowed Local Replanning on Planning Graph",
   "zh": "规划图窗口内局部重规划",
   "level": "l3"
  },
  "CAP_8866363c": {
   "en": "Subplan Sewing Into Original Plan",
   "zh": "子计划缝合",
   "level": "l3"
  },
  "CAP_07b4465a": {
   "en": "Replanning Window Enlargement",
   "zh": "重规划窗口扩大",
   "level": "l3"
  },
  "CAP_98ddf27c": {
   "en": "Constraint Relaxation Repair",
   "zh": "约束松弛修复",
   "level": "l2"
  },
  "CAP_90ffc870": {
   "en": "Plan To Temporal Encoding",
   "zh": "计划时序约束编码",
   "level": "l3"
  },
  "CAP_2d0cf367": {
   "en": "Conflict Set Localization",
   "zh": "冲突约束集定位",
   "level": "l3"
  },
  "CAP_021ab4bf": {
   "en": "Constraint Rebinding Patch",
   "zh": "约束重绑定修补",
   "level": "l3"
  },
  "CAP_cdd05c62": {
   "en": "Action Substitution Patch",
   "zh": "动作替换式计划修补",
   "level": "l2"
  },
  "CAP_ed59ec29": {
   "en": "Equivalent Action Substitution",
   "zh": "等价动作替换",
   "level": "l3"
  },
  "CAP_c7765ea0": {
   "en": "Reverse Heuristic Precomputation",
   "zh": "反向启发值预计算",
   "level": "l3"
  },
  "CAP_f48dfe0c": {
   "en": "ARA/AD Anytime Lattice Search",
   "zh": "ARA/AD 任意时间栅格搜索",
   "level": "l2"
  },
  "CAP_17ef4cb0": {
   "en": "SBPL State-Lattice Global Planning Pipeline",
   "zh": "SBPL 状态栅格全局规划流水线",
   "level": "l3"
  },
  "CAP_f1726b32": {
   "en": "AD* Compute Or Improve Path",
   "zh": "AD* 计算或改进路径",
   "level": "l3"
  },
  "CAP_2a75e799": {
   "en": "RRTX Single-Graph Lifelong Repair",
   "zh": "RRTX 单图终身修复",
   "level": "l3"
  },
  "CAP_4b52203f": {
   "en": "Robot Dynamics Parameter Identification",
   "zh": "刚体动力学参数辨识",
   "level": "l3"
  },
  "CAP_8bf749bb": {
   "en": "Disturbance Kalman Filter Torque Estimation",
   "zh": "扰动卡尔曼滤波力矩估计",
   "level": "l3"
  },
  "CAP_67d79ff2": {
   "en": "Cartesian Contact Force Mapping",
   "zh": "笛卡尔接触力映射",
   "level": "l3"
  },
  "CAP_4df2e107": {
   "en": "Neural Network-based Actuator Modeling",
   "zh": "基于神经网络的执行器建模",
   "level": "l3"
  },
  "CAP_c1cc16f1": {
   "en": "Coil Geometry Parametric Modeling",
   "zh": "线圈几何参数化建模",
   "level": "l3"
  },
  "CAP_27a540ec": {
   "en": "Coil Structure Parametric Optimization",
   "zh": "线圈结构参数优化",
   "level": "l3"
  },
  "CAP_455e0c78": {
   "en": "Compensation Topology Design",
   "zh": "补偿拓扑设计",
   "level": "l3"
  },
  "CAP_fe9b6f46": {
   "en": "WPT Circuit System Modeling",
   "zh": "WPT电路系统建模",
   "level": "l3"
  },
  "CAP_ed3191c1": {
   "en": "WPT System Efficiency Analysis",
   "zh": "WPT系统效率分析",
   "level": "l3"
  },
  "CAP_011af560": {
   "en": "WPT Dynamic Response Testing",
   "zh": "WPT动态响应测试",
   "level": "l3"
  },
  "CAP_91ab8195": {
   "en": "Autonomous Docking Behavior Simulation",
   "zh": "自主对接行为仿真",
   "level": "l2"
  },
  "CAP_022383a8": {
   "en": "Battery State Virtual Modeling",
   "zh": "电池状态虚拟建模",
   "level": "l3"
  },
  "CAP_627bc64e": {
   "en": "Docking Control Strategy",
   "zh": "对接控制策略",
   "level": "l3"
  },
  "CAP_4dd2ecc4": {
   "en": "Local Neighborhood Feature Aggregation",
   "zh": "局部邻域特征聚合",
   "level": "l3"
  },
  "CAP_036005ce": {
   "en": "Feature Concatenation and Dimensionality Reduction",
   "zh": "特征拼接与降维",
   "level": "l3"
  },
  "CAP_2761ba60": {
   "en": "Patch-wise Gaussian Distribution Modeling",
   "zh": "逐位置高斯分布建模",
   "level": "l3"
  },
  "CAP_3de83a76": {
   "en": "Mahalanobis Distance Anomaly Scoring",
   "zh": "马氏距离异常评分",
   "level": "l3"
  },
  "CAP_8cbf23fe": {
   "en": "Synthetic Anomaly Generation and Reconstruction Training",
   "zh": "合成异常生成与重建训练",
   "level": "l2"
  },
  "CAP_0bb1b18b": {
   "en": "Discriminative Anomaly Segmentation",
   "zh": "判别式异常分割",
   "level": "l3"
  },
  "CAP_3ffe97fc": {
   "en": "Latent Space Anomaly Scoring",
   "zh": "潜在空间异常评分",
   "level": "l3"
  },
  "CAP_4716dbb4": {
   "en": "Multi-scale Feature Fusion and Bottleneck Embedding",
   "zh": "多尺度特征融合与瓶颈嵌入",
   "level": "l3"
  },
  "CAP_91f9bd84": {
   "en": "2D Normalizing Flow Distribution Modeling",
   "zh": "2D归一化流分布建模",
   "level": "l3"
  },
  "CAP_684d0e7d": {
   "en": "Conditional Normalizing Flow Distribution Modeling",
   "zh": "条件归一化流分布建模",
   "level": "l3"
  },
  "CAP_ba6226fc": {
   "en": "Cosine Similarity Anomaly Scoring",
   "zh": "余弦相似度异常评分",
   "level": "l3"
  },
  "CAP_a725a419": {
   "en": "Feature Pyramid Matching Anomaly Scoring",
   "zh": "特征金字塔逐层匹配异常评分",
   "level": "l3"
  },
  "CAP_a0d0a463": {
   "en": "Distillation Flow Anomaly Scoring and Inference",
   "zh": "蒸馏/流异常评分与推理",
   "level": "l2"
  },
  "CAP_e78ba215": {
   "en": "Occupancy Information Gain Evaluation",
   "zh": "占用信息增益评估",
   "level": "l2"
  },
  "CAP_9f3eb444": {
   "en": "Occupancy Probability Map Maintenance",
   "zh": "占用概率地图维护",
   "level": "l3"
  },
  "CAP_ee2880ce": {
   "en": "Shannon Entropy Field Computation",
   "zh": "香农熵场计算",
   "level": "l3"
  },
  "CAP_f84a8704": {
   "en": "Candidate Viewpoint RRT Sampling",
   "zh": "候选视角RRT采样",
   "level": "l3"
  },
  "CAP_4586c2b8": {
   "en": "Pointwise Entropy Reduction IG",
   "zh": "单视角熵减信息增益计算",
   "level": "l3"
  },
  "CAP_7d1d95ec": {
   "en": "Pathwise Information Gain Integration",
   "zh": "路径积分信息增益计算",
   "level": "l3"
  },
  "CAP_6d81070f": {
   "en": "Bayesian Multi-Objective IG Evaluation",
   "zh": "贝叶斯优化多重信息增益评估",
   "level": "l3"
  },
  "CAP_7b49efff": {
   "en": "Gaussian Process Mutual Information Evaluation",
   "zh": "高斯过程互信息评估",
   "level": "l2"
  },
  "CAP_b839b3fc": {
   "en": "Standard Mutual Information Computation",
   "zh": "标准互信息计算",
   "level": "l3"
  },
  "CAP_d4d69ab5": {
   "en": "Schur-Complement Accelerated MI",
   "zh": "Schur补加速互信息计算",
   "level": "l3"
  },
  "CAP_c7ae89d2": {
   "en": "Submodular Greedy Informative Path Construction",
   "zh": "子模贪心信息路径构建",
   "level": "l3"
  },
  "CAP_e9469ac7": {
   "en": "GP Model Incremental Update",
   "zh": "GP模型增量更新",
   "level": "l3"
  },
  "CAP_ca59ec5d": {
   "en": "Learning-Augmented Information Gain Prediction",
   "zh": "学习增强的信息增益预测",
   "level": "l2"
  },
  "CAP_cbf53012": {
   "en": "Partial Occupancy Map Encoding",
   "zh": "部分占用地图编码",
   "level": "l3"
  },
  "CAP_85d37f8b": {
   "en": "Information Entropy Map Prediction",
   "zh": "信息熵图预测",
   "level": "l3"
  },
  "CAP_bdf108db": {
   "en": "Occupancy Map Prediction with Uncertainty",
   "zh": "占用地图预测与不确定性量化",
   "level": "l3"
  },
  "CAP_2f5cfcb8": {
   "en": "NMS Candidate Target Sampling",
   "zh": "非极大值抑制候选目标点采样",
   "level": "l3"
  },
  "CAP_499169f7": {
   "en": "RL-based Target Point Selection",
   "zh": "基于强化学习的目标点选择",
   "level": "l3"
  },
  "CAP_41018c20": {
   "en": "Online Prediction Model Fine-tuning",
   "zh": "在线预测模型微调",
   "level": "l3"
  },
  "CAP_c2df8d5b": {
   "en": "Greedy Frontier-Based Information Gain Exploration",
   "zh": "贪心前沿信息增益探索",
   "level": "l2"
  },
  "CAP_1c712da4": {
   "en": "Next-Best-View Volumetric Exploration",
   "zh": "NBV 信息论体积探索",
   "level": "l2"
  },
  "CAP_b4b104c8": {
   "en": "Learning-Based Exploration",
   "zh": "学习型探索",
   "level": "l2"
  },
  "CAP_1163a8d5": {
   "en": "Learned Information Gain Prediction",
   "zh": "学习型信息增益预测",
   "level": "l3"
  },
  "CAP_ff906d94": {
   "en": "PPO-Based Exploration Policy",
   "zh": "基于 PPO 的探索策略",
   "level": "l3"
  },
  "CAP_df367250": {
   "en": "Graph-Based Exploration via GNN",
   "zh": "基于图神经网络（GNN）的探索推理",
   "level": "l3"
  },
  "CAP_aacaadf2": {
   "en": "Learned Local Navigation Policy",
   "zh": "学习型局部导航策略",
   "level": "l3"
  },
  "CAP_a6c3466e": {
   "en": "Probabilistic Octree Streaming Occupancy Mapping",
   "zh": "概率占据体素建图",
   "level": "l3"
  },
  "CAP_1190b407": {
   "en": "Raycasting Visibility Cleanup",
   "zh": "射线投射可见性估计",
   "level": "l3"
  },
  "CAP_0cc63f4d": {
   "en": "Utility-based NBV Optimization",
   "zh": "效用优化与NBV选择",
   "level": "l3"
  },
  "CAP_08b11e4c": {
   "en": "Learned Observation Policy",
   "zh": "学习型观测策略",
   "level": "l1"
  },
  "CAP_21d4ef10": {
   "en": "Information-Gain Reward Design",
   "zh": "信息增益奖励设计",
   "level": "l2"
  },
  "CAP_918d7fbe": {
   "en": "Coverage-Reward Policy Training",
   "zh": "覆盖奖励策略训练",
   "level": "l3"
  },
  "CAP_3f5c8c28": {
   "en": "Prediction-Reward Information Maximization",
   "zh": "预测奖励信息最大化",
   "level": "l3"
  },
  "CAP_0f70a22a": {
   "en": "Belief-Aware Policy Network",
   "zh": "信念感知策略网络",
   "level": "l2"
  },
  "CAP_6f32e224": {
   "en": "Belief Aggregation LSTM",
   "zh": "信念聚合LSTM",
   "level": "l3"
  },
  "CAP_cd973043": {
   "en": "Differentiable Viewpoint Policy",
   "zh": "可微视角策略",
   "level": "l2"
  },
  "CAP_0f270105": {
   "en": "Active Observation Completion Proxy",
   "zh": "主动观测补全代理任务",
   "level": "l2"
  },
  "CAP_1da3aa74": {
   "en": "Information Gain Augmented Reward",
   "zh": "统一主动感知奖励",
   "level": "l3"
  },
  "CAP_8427c58b": {
   "en": "Pixel Reconstruction Loss",
   "zh": "视图网格重建损失",
   "level": "l3"
  },
  "CAP_58c7aa5d": {
   "en": "Simulation as Code Training",
   "zh": "仿真即代码训练",
   "level": "l2"
  },
  "CAP_90f84106": {
   "en": "Policy Admission Control",
   "zh": "K8s 策略准入控制",
   "level": "l3"
  },
  "CAP_e36a5bb4": {
   "en": "Task and Reward Specification",
   "zh": "任务与奖励函数声明",
   "level": "l3"
  },
  "CAP_86b653d2": {
   "en": "Data Versioning and Dedupe",
   "zh": "数据版本化与去重",
   "level": "l3"
  },
  "CAP_d892ee4f": {
   "en": "Dataset Hub Hosting",
   "zh": "数据集 Hub 存储与共享",
   "level": "l3"
  },
  "CAP_434df98f": {
   "en": "Training Pipeline as Code",
   "zh": "策略训练流水线代码化",
   "level": "l3"
  },
  "CAP_3970194e": {
   "en": "Policy Eval Pipeline",
   "zh": "仿真真机评测流水线",
   "level": "l3"
  },
  "CAP_1298c9fe": {
   "en": "Flywheel Orchestration",
   "zh": "数据飞轮闭环编排",
   "level": "l3"
  },
  "CAP_b3a4bcf8": {
   "en": "Fixed-Station Inline Defect Detection",
   "zh": "固定工位在线缺陷检测",
   "level": "l2"
  },
  "CAP_5d6f86e0": {
   "en": "Trigger-Based Image Acquisition",
   "zh": "触发式图像采集",
   "level": "l3"
  },
  "CAP_6679d49a": {
   "en": "2D Anomaly Segmentation",
   "zh": "2D 异常分割",
   "level": "l3"
  },
  "CAP_a07691f7": {
   "en": "3D Height-Map Surface Inspection",
   "zh": "3D 高度图表面检测",
   "level": "l3"
  },
  "CAP_563fb1be": {
   "en": "Defect Classification and Grading",
   "zh": "缺陷分类与分级",
   "level": "l3"
  },
  "CAP_e6a3e7c3": {
   "en": "Pass/Fail Decision and Reject Actuation",
   "zh": "判定与剔除联动",
   "level": "l3"
  },
  "CAP_c8118099": {
   "en": "Robot-Mounted Active Vision Inspection",
   "zh": "机器人搭载主动视觉在线检测",
   "level": "l2"
  },
  "CAP_2878db3b": {
   "en": "Robot Motion to Target View",
   "zh": "机器人运动至目标视点",
   "level": "l3"
  },
  "CAP_ce2243b7": {
   "en": "6D Pose Estimation (ICP)",
   "zh": "6D位姿估计（ICP）",
   "level": "l3"
  },
  "CAP_144cedce": {
   "en": "Vision-Language Defect Reasoning",
   "zh": "视觉-语言缺陷推理",
   "level": "l3"
  },
  "CAP_a5997eb7": {
   "en": "Multimodal-Fusion Closed-Loop Quality Control",
   "zh": "多模态融合与闭环质量控制",
   "level": "l2"
  },
  "CAP_8c8b4fe1": {
   "en": "Predictive Quality Forecasting",
   "zh": "数字孪生预测性质量预警",
   "level": "l3"
  },
  "CAP_4de5aefa": {
   "en": "Explicit Fusion Instance-Aware Reconstruction",
   "zh": "显式融合实例感知重建",
   "level": "l2"
  },
  "CAP_dd49d792": {
   "en": "Online RGB-D Volumetric Panoptic Mapping",
   "zh": "在线 RGB-D 体积全景分割建图",
   "level": "l3"
  },
  "CAP_54c0ea11": {
   "en": "Panoptic Label Back-Projection",
   "zh": "全景标签反投影",
   "level": "l3"
  },
  "CAP_27a56acb": {
   "en": "Mask R-CNN Instance Thing Branch",
   "zh": "Mask R-CNN 实例分支",
   "level": "l3"
  },
  "CAP_48da33f1": {
   "en": "Panoptic Voxel Map Output",
   "zh": "全景体素地图输出",
   "level": "l3"
  },
  "CAP_9b87aed7": {
   "en": "Neural Implicit Instance Decomposition",
   "zh": "神经隐式实例分解",
   "level": "l2"
  },
  "CAP_31c2ee43": {
   "en": "Object-Aware NeRF Decomposition",
   "zh": "物体感知 NeRF 分解",
   "level": "l3"
  },
  "CAP_22563262": {
   "en": "Panoptic Neural Field",
   "zh": "全景神经场",
   "level": "l3"
  },
  "CAP_be978b80": {
   "en": "Unsupervised Object Radiance Field Decomposition",
   "zh": "无监督物体辐射场分解",
   "level": "l3"
  },
  "CAP_3622ce0a": {
   "en": "Gaussian Open-Vocabulary Instance Reconstruction",
   "zh": "高斯开放词汇实例重建",
   "level": "l2"
  },
  "CAP_4cbaeff6": {
   "en": "2D-to-3D Feature Aggregation",
   "zh": "2D→3D 特征聚合",
   "level": "l3"
  },
  "CAP_9375668b": {
   "en": "2D-Guided 3D Instance Proposal Merging",
   "zh": "2D 引导的 3D 实例提案合并",
   "level": "l3"
  },
  "CAP_c5ea8da2": {
   "en": "Detection-Based Instance Segmentation Pipeline",
   "zh": "检测式实例分割流水线",
   "level": "l2"
  },
  "CAP_07b544ab": {
   "en": "Multi-Scale Backbone Feature Extraction ResNet FPN",
   "zh": "多尺度骨干特征提取（ResNet+FPN）",
   "level": "l3"
  },
  "CAP_774ccb91": {
   "en": "RoI Classification and Box Regression",
   "zh": "RoI分类与边界框回归",
   "level": "l3"
  },
  "CAP_d2f4a900": {
   "en": "Fully Convolutional Mask Prediction",
   "zh": "全卷积掩码生成",
   "level": "l3"
  },
  "CAP_35024940": {
   "en": "Query-Based Transformer Foundation Model Segmentation",
   "zh": "查询式Transformer与基础模型分割流水线",
   "level": "l2"
  },
  "CAP_3f29de27": {
   "en": "Masked Attention Cross-Attention Decoding",
   "zh": "Masked Attention交叉注意力解码",
   "level": "l3"
  },
  "CAP_7b0155c6": {
   "en": "Mask and Pixel Embedding Dot Product",
   "zh": "掩码与像素嵌入点积",
   "level": "l3"
  },
  "CAP_0623eba9": {
   "en": "Classification and Box Regression Head",
   "zh": "分类头与边界框回归",
   "level": "l3"
  },
  "CAP_3a8fe410": {
   "en": "Lightweight Transformer Mask Decoding",
   "zh": "轻量Transformer掩码解码",
   "level": "l3"
  },
  "CAP_ffeefd7b": {
   "en": "SAM2 Streaming Video Segmentation",
   "zh": "SAM2流式视频分割",
   "level": "l3"
  },
  "CAP_d67a9fb9": {
   "en": "Decoupled Video Instance Segmentation",
   "zh": "解耦式视频实例分割",
   "level": "l3"
  },
  "CAP_60bab42a": {
   "en": "Instance Segmentation Paradigm Selection",
   "zh": "实例分割范式路由",
   "level": "l3"
  },
  "CAP_5efd6150": {
   "en": "Instance Image Collection and Annotation",
   "zh": "实例图像采集与标注",
   "level": "l3"
  },
  "CAP_c18b4897": {
   "en": "Image Augmentation",
   "zh": "图像增强",
   "level": "l3"
  },
  "CAP_d9c188f7": {
   "en": "Positive Pair Construction",
   "zh": "正样本对构造",
   "level": "l3"
  },
  "CAP_9a6d90b2ac": {
   "en": "Discriminative Embedding Network Training",
   "zh": "判别性嵌入网络训练",
   "level": "l2"
  },
  "CAP_048e67f2": {
   "en": "Embedding Layer (GeM/CosFace)",
   "zh": "嵌入层(GeM/CosFace)",
   "level": "l3"
  },
  "CAP_8517c2ce": {
   "en": "Contrastive and Classification Loss",
   "zh": "对比与分类损失",
   "level": "l3"
  },
  "CAP_ab35e5dc": {
   "en": "Gradient Backpropagation and Update",
   "zh": "梯度反向传播与更新",
   "level": "l3"
  },
  "CAP_67eb6448": {
   "en": "Top-K Result Ranking",
   "zh": "Top-K结果排序",
   "level": "l3"
  },
  "CAP_a35f2b12": {
   "en": "Image Preprocessing and Resize",
   "zh": "图像预处理与缩放",
   "level": "l3"
  },
  "CAP_5b39b11e": {
   "en": "Global Descriptor Aggregation",
   "zh": "全局特征聚合",
   "level": "l3"
  },
  "CAP_1cb42f0f": {
   "en": "Global Feature Post-processing",
   "zh": "全局特征后处理",
   "level": "l3"
  },
  "CAP_b9636eb1": {
   "en": "Database Index Construction",
   "zh": "数据库索引构建",
   "level": "l3"
  },
  "CAP_aae6be88": {
   "en": "Query Global Feature Extraction",
   "zh": "查询图像全局特征提取",
   "level": "l3"
  },
  "CAP_71e4e75b": {
   "en": "Top-K Candidate Output",
   "zh": "Top-K候选输出",
   "level": "l3"
  },
  "CAP_76e8efba": {
   "en": "Query Nearest Neighbor Search",
   "zh": "查询最近邻搜索",
   "level": "l3"
  },
  "CAP_b6e3609a": {
   "en": "Feature Matching and Geometric Verification",
   "zh": "特征匹配与几何验证",
   "level": "l2"
  },
  "CAP_70b5cf63": {
   "en": "Query Expansion and Reranking",
   "zh": "查询扩展与重排",
   "level": "l3"
  },
  "CAP_d8369283": {
   "en": "Geometric Verification and Reranking",
   "zh": "几何验证与重排",
   "level": "l3"
  },
  "CAP_5259beef": {
   "en": "Final Result Ranking",
   "zh": "最终结果排序",
   "level": "l3"
  },
  "CAP_08eba363": {
   "en": "Prompt Parsing and Classification",
   "zh": "Prompt解析与分类",
   "level": "l3"
  },
  "CAP_0ef3d058": {
   "en": "Text Prompt Encoding",
   "zh": "文本Prompt编码",
   "level": "l3"
  },
  "CAP_39f86699": {
   "en": "Visual Prompt Encoding",
   "zh": "视觉Prompt编码",
   "level": "l3"
  },
  "CAP_d4b44bdd": {
   "en": "Cross-modal Deep Fusion",
   "zh": "跨模态深度融合",
   "level": "l3"
  },
  "CAP_c4af76eb": {
   "en": "Multi-scale Feature Pyramid",
   "zh": "多尺度特征金字塔",
   "level": "l3"
  },
  "CAP_02537dd3": {
   "en": "Instance Proposal Generation",
   "zh": "实例提案生成",
   "level": "l3"
  },
  "CAP_e276deb2": {
   "en": "Instance-Prompt Matching Score",
   "zh": "实例-提示匹配分数",
   "level": "l3"
  },
  "CAP_06e0fd11": {
   "en": "Target Instance Retrieval",
   "zh": "目标实例检索",
   "level": "l3"
  },
  "CAP_c891ca51": {
   "en": "Instance-level Output",
   "zh": "实例级输出",
   "level": "l3"
  },
  "CAP_c5d908b5": {
   "en": "Visual Memory Instance Matching",
   "zh": "视觉记忆实例匹配",
   "level": "l2"
  },
  "CAP_51aa6250": {
   "en": "Reference Image Encoding",
   "zh": "参考图像编码",
   "level": "l3"
  },
  "CAP_18946cd0": {
   "en": "Embedding Space Instance Matching",
   "zh": "嵌入空间实例匹配",
   "level": "l3"
  },
  "CAP_bed1084d": {
   "en": "Visual Prompt Injection",
   "zh": "视觉提示注入",
   "level": "l3"
  },
  "CAP_e6be0645": {
   "en": "Multimodal Failure Capture and Hierarchical Summarization",
   "zh": "多模态失败信号捕获与结构化摘要",
   "level": "l3"
  },
  "CAP_5663636c": {
   "en": "Failure Detection and Root Cause Analysis",
   "zh": "失败检测与根因分析",
   "level": "l3"
  },
  "CAP_a6d96d47": {
   "en": "LLM/VLM Corrective Plan Generation",
   "zh": "LLM/VLM 纠正计划生成",
   "level": "l3"
  },
  "CAP_aa223d54": {
   "en": "Corrective Plan Execution and Verification",
   "zh": "纠正计划执行与验证",
   "level": "l3"
  },
  "CAP_fdca74af": {
   "en": "Directed Task Graph Construction",
   "zh": "有向任务图构建",
   "level": "l3"
  },
  "CAP_cf889b51": {
   "en": "Failure Mode Anticipation and Recovery Branch Design",
   "zh": "失败模式预测与恢复分支设计",
   "level": "l3"
  },
  "CAP_25b9784d": {
   "en": "Hierarchical Constraint Solving and Graph Compilation",
   "zh": "分层约束求解与图编译",
   "level": "l3"
  },
  "CAP_e2dced8f": {
   "en": "Online Monitoring and Triggered Recovery Execution",
   "zh": "在线监控与触发式恢复执行",
   "level": "l3"
  },
  "CAP_6cf94ca1": {
   "en": "Behavior Tree Navigation Execution Engine",
   "zh": "行为树导航执行引擎",
   "level": "l3"
  },
  "CAP_1aa20459": {
   "en": "Context-Aware Recovery Behavior Selection",
   "zh": "上下文感知恢复行为选择",
   "level": "l3"
  },
  "CAP_15f8b149": {
   "en": "Predefined Recovery Behavior Execution",
   "zh": "预定义恢复行为执行",
   "level": "l3"
  },
  "CAP_01e5fc48": {
   "en": "Safe RL Recovery Policy Learning",
   "zh": "安全 RL 恢复策略学习",
   "level": "l3"
  },
  "CAP_84a88b34": {
   "en": "Phase S1 Umbrella",
   "zh": "阶段 S1 伞形能力",
   "level": "l3"
  },
  "CAP_1c20c23a": {
   "en": "Phase S2 Umbrella",
   "zh": "阶段 S2 伞形能力",
   "level": "l3"
  },
  "CAP_914163f1": {
   "en": "Phase S3 Umbrella",
   "zh": "阶段 S3 伞形能力",
   "level": "l3"
  },
  "CAP_8e6c0a9e": {
   "en": "Phase S4 Umbrella",
   "zh": "阶段 S4 伞形能力",
   "level": "l3"
  },
  "CAP_07b0d40e": {
   "en": "Dummy L3 Action",
   "zh": "通用叶子判断",
   "level": "l3"
  },
  "CAP_f9d3e6b3": {
   "en": "Instruction Reception and LLM Planning",
   "zh": "指令接收与LLM规划",
   "level": "l2"
  },
  "CAP_648db453": {
   "en": "Skill Execution and Multimodal Feedback Collection",
   "zh": "技能执行与多源反馈采集",
   "level": "l2"
  },
  "CAP_5246356a": {
   "en": "Feedback Textualization and Closed-Loop Replanning",
   "zh": "反馈文本化与闭环重规划",
   "level": "l2"
  },
  "CAP_48a90c51": {
   "en": "Loop Termination Verification",
   "zh": "循环终止判定",
   "level": "l2"
  },
  "CAP_aa01b122": {
   "en": "LLM Task Instruction Parsing",
   "zh": "LLM任务指令解析",
   "level": "l3"
  },
  "CAP_f4cba685": {
   "en": "Diagnosis Loop Termination",
   "zh": "诊断循环终止判定",
   "level": "l3"
  },
  "CAP_936f6015": {
   "en": "Failure Diagnosis Trajectory Acquisition",
   "zh": "失败诊断轨迹采集",
   "level": "l2"
  },
  "CAP_d1629b33": {
   "en": "Hierarchical Failure Summarization",
   "zh": "层次化失败摘要生成",
   "level": "l2"
  },
  "CAP_646f16f7": {
   "en": "Progressive Failure Diagnosis",
   "zh": "渐进式失败诊断",
   "level": "l2"
  },
  "CAP_1c53123d": {
   "en": "Failure Correction Planning and Verification",
   "zh": "失败修正与验证",
   "level": "l2"
  },
  "CAP_0672b0ff": {
   "en": "Physical Execution Telemetry Acquisition",
   "zh": "物理执行遥测采集",
   "level": "l2"
  },
  "CAP_1f11ee21": {
   "en": "Sensor Telemetry Stream Acquisition",
   "zh": "传感器遥测流采集",
   "level": "l3"
  },
  "CAP_03c9ea19": {
   "en": "Execution State Monitoring and Classification",
   "zh": "执行状态监测与判定",
   "level": "l2"
  },
  "CAP_23488b84": {
   "en": "Execution State Classification",
   "zh": "执行状态判定",
   "level": "l3"
  },
  "CAP_695df376": {
   "en": "Bounded Recovery and Escalation",
   "zh": "有界恢复与升级",
   "level": "l2"
  },
  "CAP_6d098952": {
   "en": "Post-Grasp Semantic Verification",
   "zh": "事后语义验证",
   "level": "l3"
  },
  "CAP_afd0d2a2": {
   "en": "VLM Backbone Autoregressive VLA Inference",
   "zh": "VLM 骨干自回归 VLA 推理",
   "level": "l2"
  },
  "CAP_ef3dadc2": {
   "en": "Multimodal Token Sequence Concatenation",
   "zh": "多模态 token 序列拼接",
   "level": "l3"
  },
  "CAP_77fe1d3c": {
   "en": "VLM Backbone Transformer Forward",
   "zh": "VLM 骨干 Transformer 前向推理",
   "level": "l3"
  },
  "CAP_8c5596fa": {
   "en": "Action Discretization and Autoregressive Decoding",
   "zh": "动作离散化与自回归解码",
   "level": "l2"
  },
  "CAP_3d591535": {
   "en": "Action Token Autoregressive Generation",
   "zh": "动作 token 自回归生成",
   "level": "l3"
  },
  "CAP_5a46fdfd": {
   "en": "High-Level Instruction Reception",
   "zh": "高层指令接收",
   "level": "l3"
  },
  "CAP_3fc2cf98": {
   "en": "Language Instruction Preprocessing",
   "zh": "语言指令预处理与 token 化",
   "level": "l3"
  },
  "CAP_cf313d0c": {
   "en": "VLM Semantic Encoding",
   "zh": "VLM 语义编码",
   "level": "l3"
  },
  "CAP_b4ccc027": {
   "en": "Action-Conditioned Token Sequence Assembly",
   "zh": "动作条件 token 序列装配",
   "level": "l3"
  },
  "CAP_d3496d43": {
   "en": "VLA Integrated Grounding",
   "zh": "VLA 一体化接地（视觉-语言→动作端到端映射）",
   "level": "l3"
  },
  "CAP_de518210": {
   "en": "VLA Instruction Following Evaluation",
   "zh": "VLA 指令跟随评测",
   "level": "l3"
  },
  "CAP_349b5276": {
   "en": "Uncertainty-Aware Fusion",
   "zh": "不确定性感知融合",
   "level": "l3"
  },
  "CAP_d61628c1": {
   "en": "Multi-Intent Clarify",
   "zh": "多意图显式澄清",
   "level": "l3"
  },
  "CAP_9d8a97e4": {
   "en": "Vision-Language Subgoal Progress Tracking",
   "zh": "视觉-语言子目标进度追踪",
   "level": "l2"
  },
  "CAP_d0ccf256": {
   "en": "Visual-Textual Co-Grounding",
   "zh": "视觉-文本协同定位",
   "level": "l3"
  },
  "CAP_882d6abc": {
   "en": "Progress-Aware Backtracking",
   "zh": "进度感知回退",
   "level": "l3"
  },
  "CAP_7010217b": {
   "en": "Progress-Guided Action Selection",
   "zh": "进度引导动作选择",
   "level": "l3"
  },
  "CAP_395cd9af": {
   "en": "VLM-based Spatial Consistency Verification",
   "zh": "VLM空间一致性验证",
   "level": "l3"
  },
  "CAP_93dba7c7": {
   "en": "Progress-Conditioned Feature Fusion",
   "zh": "进度条件特征融合",
   "level": "l3"
  },
  "CAP_887d8619": {
   "en": "Rotation Modulation Error Suppression",
   "zh": "旋转调制误差抑制",
   "level": "l3"
  },
  "CAP_a9f827ad": {
   "en": "Wheel Encoder Velocity Feedback",
   "zh": "轮编码器速度反馈",
   "level": "l3"
  },
  "CAP_fa4de96f": {
   "en": "Kinematic Velocity Constraint",
   "zh": "运动学速度约束 (NHC)",
   "level": "l3"
  },
  "CAP_2f1825de": {
   "en": "INS-Odometer Tightly-Coupled Fusion",
   "zh": "INS/里程计紧耦合融合",
   "level": "l3"
  },
  "CAP_0d39cd54": {
   "en": "DVL Velocity Update",
   "zh": "DVL 速度更新",
   "level": "l3"
  },
  "CAP_15c94047": {
   "en": "Initial Alignment",
   "zh": "初始对准",
   "level": "l3"
  },
  "CAP_ca4a93d3": {
   "en": "DVL-INS Depth Constraint",
   "zh": "DVL-INS 深度约束",
   "level": "l3"
  },
  "CAP_a606fd64": {
   "en": "GPS Surfacing Reset",
   "zh": "GPS 上浮重置触发",
   "level": "l3"
  },
  "CAP_4126bab4": {
   "en": "Skeleton Extraction (3D)",
   "zh": "3D骨架关键点提取",
   "level": "l3"
  },
  "CAP_9c511914": {
   "en": "Spatiotemporal Encoding",
   "zh": "时空特征编码",
   "level": "l2"
  },
  "CAP_9851df66": {
   "en": "Early Intention Prediction",
   "zh": "早意图预测",
   "level": "l2"
  },
  "CAP_213d7dd2": {
   "en": "Early Intention Classification",
   "zh": "早意图分类",
   "level": "l3"
  },
  "CAP_fa0d3343": {
   "en": "Intention Confidence & Decision",
   "zh": "意图置信度与决策",
   "level": "l2"
  },
  "CAP_6f7c3368": {
   "en": "Intention Uncertainty Estimation",
   "zh": "意图不确定性估计",
   "level": "l3"
  },
  "CAP_4cd0bf4d": {
   "en": "Real-time Intention Pipeline",
   "zh": "实时意图预测流水线",
   "level": "l3"
  },
  "CAP_95d93626": {
   "en": "Behavior Feature Extraction",
   "zh": "行为特征提取",
   "level": "l2"
  },
  "CAP_d19d2625": {
   "en": "Visual Action Encoding",
   "zh": "视觉行为编码",
   "level": "l3"
  },
  "CAP_1f856cea": {
   "en": "Intention State Modeling",
   "zh": "意图状态建模",
   "level": "l2"
  },
  "CAP_68aa62d8": {
   "en": "Hierarchical Goal Inference",
   "zh": "层次化目标推理",
   "level": "l3"
  },
  "CAP_4f3c1c94": {
   "en": "Goal Prediction & Confidence",
   "zh": "目标预测与置信度",
   "level": "l2"
  },
  "CAP_62cb085a": {
   "en": "Uncertainty-Aware Prediction",
   "zh": "不确定性感知预测",
   "level": "l3"
  },
  "CAP_3471986f": {
   "en": "Early Intention Detection",
   "zh": "早期意图检测",
   "level": "l3"
  },
  "CAP_58827c4e": {
   "en": "Robot Response",
   "zh": "机器人响应",
   "level": "l2"
  },
  "CAP_d7947538": {
   "en": "Robot Response Generation",
   "zh": "机器人响应生成",
   "level": "l3"
  },
  "CAP_0ff63c3b": {
   "en": "Force Torque Acquisition",
   "zh": "六维力/力矩采集",
   "level": "l3"
  },
  "CAP_1abccd56": {
   "en": "Force Preprocessing",
   "zh": "力信号预处理",
   "level": "l2"
  },
  "CAP_0787c92a": {
   "en": "Force Signal Preprocessing",
   "zh": "力信号预处理",
   "level": "l3"
  },
  "CAP_f638a8b4": {
   "en": "Force Feature",
   "zh": "力特征提取",
   "level": "l2"
  },
  "CAP_817326c8": {
   "en": "Force Feature Extraction",
   "zh": "力特征提取",
   "level": "l3"
  },
  "CAP_ef2d88cf": {
   "en": "Force-based Intention Inference",
   "zh": "力觉意图推理",
   "level": "l2"
  },
  "CAP_60fa9835": {
   "en": "Admittance-based Intention Estimation",
   "zh": "导纳意图估计",
   "level": "l3"
  },
  "CAP_8f737fd5": {
   "en": "Bayesian Intention Inference",
   "zh": "贝叶斯意图推理",
   "level": "l3"
  },
  "CAP_21124217": {
   "en": "Learning-based Force Intention",
   "zh": "学习式力觉意图",
   "level": "l3"
  },
  "CAP_d5a0bd70": {
   "en": "Compliant Intention Execution",
   "zh": "柔顺意图执行",
   "level": "l2"
  },
  "CAP_1159ec94": {
   "en": "Admittance Control Execution",
   "zh": "导纳控制执行",
   "level": "l3"
  },
  "CAP_9594a86b": {
   "en": "Safe Interaction Monitoring",
   "zh": "安全交互监控",
   "level": "l2"
  },
  "CAP_4d3e2529": {
   "en": "Interaction Mode Classification",
   "zh": "交互模式分类",
   "level": "l3"
  },
  "CAP_6767695a": {
   "en": "Human Intent Alignment",
   "zh": "人类意图对齐",
   "level": "l2"
  },
  "CAP_83d25ec2": {
   "en": "Intent Feature Extraction",
   "zh": "意图特征提取",
   "level": "l3"
  },
  "CAP_c0989320": {
   "en": "Human Intention Inference",
   "zh": "人类意图推断",
   "level": "l3"
  },
  "CAP_5b65daa4": {
   "en": "Implicit Confirmation",
   "zh": "隐式确认",
   "level": "l3"
  },
  "CAP_43843ddb": {
   "en": "Preference Alignment",
   "zh": "偏好对齐",
   "level": "l3"
  },
  "CAP_6b9ca60d": {
   "en": "Explicit Intent Elicitation",
   "zh": "显式意图请求",
   "level": "l3"
  },
  "CAP_7ab53bb1": {
   "en": "Biosignal Intent Decoding",
   "zh": "生物电信号意图解码",
   "level": "l2"
  },
  "CAP_d7137b86": {
   "en": "Biosignal Preprocessing",
   "zh": "生物电信号预处理",
   "level": "l3"
  },
  "CAP_bdb66d04": {
   "en": "Motor Imagery Classification",
   "zh": "运动想象分类",
   "level": "l3"
  },
  "CAP_dc9a5315": {
   "en": "Error-Related Potential Detection",
   "zh": "错误相关电位检测",
   "level": "l3"
  },
  "CAP_fe30d7ed": {
   "en": "EMG Continuous Control",
   "zh": "肌电连续控制",
   "level": "l3"
  },
  "CAP_19f601e1": {
   "en": "Neural Shared Autonomy Fusion",
   "zh": "神经共享自主性融合",
   "level": "l3"
  },
  "CAP_15cd11cd": {
   "en": "Multimodal Intent Fusion",
   "zh": "多模态意图融合",
   "level": "l3"
  },
  "CAP_e9b7cbca": {
   "en": "Linguistic Style Preference Acquisition",
   "zh": "语言风格偏好获取",
   "level": "l2"
  },
  "CAP_df8406fc": {
   "en": "Explicit Feedback Collection",
   "zh": "显式反馈收集",
   "level": "l3"
  },
  "CAP_32a93594": {
   "en": "Implicit Personality Inference",
   "zh": "隐式人格推断",
   "level": "l3"
  },
  "CAP_924c2859": {
   "en": "Style Parameter Decision",
   "zh": "风格参数决策",
   "level": "l2"
  },
  "CAP_3d53b830": {
   "en": "Politeness Strategy Adaptation",
   "zh": "礼貌策略适配",
   "level": "l3"
  },
  "CAP_b2fb8f13": {
   "en": "Rule-based Default Style",
   "zh": "规则默认风格",
   "level": "l3"
  },
  "CAP_09621191": {
   "en": "Style Parameter Merging",
   "zh": "风格参数合并",
   "level": "l3"
  },
  "CAP_08ef5bb1": {
   "en": "Stylized Speech Generation",
   "zh": "风格化语音生成",
   "level": "l2"
  },
  "CAP_6f36cce8": {
   "en": "Stylized NLG",
   "zh": "风格化自然语言生成",
   "level": "l3"
  },
  "CAP_510aa06d": {
   "en": "Prosody & TTS Modulation",
   "zh": "韵律与 TTS 调制",
   "level": "l3"
  },
  "CAP_5730ad67": {
   "en": "Feedback Loop Update",
   "zh": "反馈闭环更新",
   "level": "l2"
  },
  "CAP_08f8aa87": {
   "en": "User Rating Collection",
   "zh": "用户评分收集",
   "level": "l3"
  },
  "CAP_ec96970f": {
   "en": "Preference Model Update",
   "zh": "偏好模型更新",
   "level": "l3"
  },
  "CAP_11503321": {
   "en": "Approach Speed Adaptation",
   "zh": "接近速度适配",
   "level": "l3"
  },
  "CAP_4dadca7f": {
   "en": "Proxemic Distance Adaptation",
   "zh": "proxemics距离适配",
   "level": "l3"
  },
  "CAP_65dac839": {
   "en": "Motion Velocity Scaling",
   "zh": "运动速度缩放",
   "level": "l3"
  },
  "CAP_598719e2": {
   "en": "Comfort Zone Modeling",
   "zh": "舒适区建模",
   "level": "l3"
  },
  "CAP_e55c6739": {
   "en": "Adaptive Motion Policy",
   "zh": "自适应动作策略",
   "level": "l3"
  },
  "CAP_0d7cc6b6": {
   "en": "Cultural Personality Perception",
   "zh": "文化人格感知",
   "level": "l2"
  },
  "CAP_3c742269": {
   "en": "Style Parameter Decision (Nonverbal)",
   "zh": "非言语风格参数决策",
   "level": "l2"
  },
  "CAP_6ca629f1": {
   "en": "Cultural Gesture Amplitude",
   "zh": "文化手势幅度调制",
   "level": "l3"
  },
  "CAP_4e7638df": {
   "en": "Cultural Eye Contact",
   "zh": "文化眼神接触调制",
   "level": "l3"
  },
  "CAP_da033cc6": {
   "en": "Cultural Proxemic Offset",
   "zh": "文化proxemics偏移",
   "level": "l3"
  },
  "CAP_69496254": {
   "en": "Multimodal Nonverbal Fusion",
   "zh": "多模态非言语融合",
   "level": "l3"
  },
  "CAP_83c2a907": {
   "en": "Feedback Loop Update (Nonverbal)",
   "zh": "非言语反馈闭环更新",
   "level": "l2"
  },
  "CAP_614da0ab": {
   "en": "Comfort Feedback Collection",
   "zh": "舒适反馈收集",
   "level": "l3"
  },
  "CAP_83534283": {
   "en": "Individual Offset Update",
   "zh": "个体偏移更新",
   "level": "l3"
  },
  "CAP_978aedc3": {
   "en": "SeedCollection",
   "zh": "种子采集",
   "level": "l3"
  },
  "CAP_bf9a02c8": {
   "en": "OverSegmentationGraph",
   "zh": "过分割图构建",
   "level": "l3"
  },
  "CAP_2350b1f5": {
   "en": "UnaryDataTerm",
   "zh": "一元数据项建模",
   "level": "l3"
  },
  "CAP_4fe34501": {
   "en": "GraphCutSolve",
   "zh": "图割求解",
   "level": "l3"
  },
  "CAP_c6d12d98": {
   "en": "BoundaryEditing",
   "zh": "边界编辑",
   "level": "l3"
  },
  "CAP_80883852": {
   "en": "Energy Formulation",
   "zh": "能量函数定义",
   "level": "l3"
  },
  "CAP_c4c35f50": {
   "en": "Submodularity Check",
   "zh": "子模性检查",
   "level": "l3"
  },
  "CAP_c9b90781": {
   "en": "Max-Flow Solve",
   "zh": "最大流求解",
   "level": "l3"
  },
  "CAP_f0aa0bd7": {
   "en": "Alpha-Expansion",
   "zh": "α扩展",
   "level": "l3"
  },
  "CAP_1036736a": {
   "en": "Engine Binding",
   "zh": "引擎封装",
   "level": "l3"
  },
  "CAP_7ea0e54b": {
   "en": "ClarificationDecisionOrchestration",
   "zh": "澄清决策编排",
   "level": "l2"
  },
  "CAP_fbc5949e": {
   "en": "AmbiguityUncertaintyEstimation",
   "zh": "歧义不确定性估计",
   "level": "l3"
  },
  "CAP_cbb60fbb": {
   "en": "AskVsActDecision",
   "zh": "澄清决策 ask-vs-act",
   "level": "l3"
  },
  "CAP_ba35735b": {
   "en": "InfeasibilityDetection",
   "zh": "不可行检测",
   "level": "l3"
  },
  "CAP_e2bf5b81": {
   "en": "StructuredUncertaintyQuestionSelector",
   "zh": "结构化不确定性问句选择",
   "level": "l3"
  },
  "CAP_60ac7cb4": {
   "en": "ClarificationDialogueOrchestration",
   "zh": "澄清对话编排",
   "level": "l2"
  },
  "CAP_e9e435e2": {
   "en": "MultiTurnClarificationLoop",
   "zh": "多轮澄清对话闭环",
   "level": "l3"
  },
  "CAP_8d18e2f8": {
   "en": "SignalRouterAskOrAct",
   "zh": "信号路由 ask-or-act",
   "level": "l3"
  },
  "CAP_029a3e53": {
   "en": "DialogueInterruptionHandling",
   "zh": "对话中断处理",
   "level": "l3"
  },
  "CAP_0478833b": {
   "en": "ConvergenceStoppingRule",
   "zh": "收敛停止规则",
   "level": "l3"
  },
  "CAP_b4b527cc": {
   "en": "MinimalQuestionRLClarification",
   "zh": "最小问句 RL 澄清",
   "level": "l3"
  },
  "CAP_5bb5cbd5": {
   "en": "ClarificationQuestionCrafting",
   "zh": "澄清问句构建",
   "level": "l2"
  },
  "CAP_94272e0d": {
   "en": "AnswerabilityOptionReachabilityCheck",
   "zh": "可答性与选项可达性校验",
   "level": "l3"
  },
  "CAP_8a194eaa": {
   "en": "EVPIQuestionSelector",
   "zh": "EVPI 问句优选",
   "level": "l3"
  },
  "CAP_4baf98a3": {
   "en": "SpatialAmbiguityQuestioning",
   "zh": "空间歧义问句",
   "level": "l3"
  },
  "CAP_696461a4": {
   "en": "TemplateContextualQuestioning",
   "zh": "模板情境问句",
   "level": "l3"
  },
  "CAP_9cc7e6d1": {
   "en": "Specialized Feedforward Iterative Click Segmentation",
   "zh": "专才前馈迭代点击分割",
   "level": "l2"
  },
  "CAP_2ddbce5c": {
   "en": "Iterative Mask Guidance Fusion",
   "zh": "迭代掩码引导融合",
   "level": "l2"
  },
  "CAP_a4386bcb": {
   "en": "Scribble Error Correction Refinement",
   "zh": "涂鸦纠错精修",
   "level": "l2"
  },
  "CAP_a5cf127b": {
   "en": "Box Prompt Mask Refinement",
   "zh": "框提示掩码精修",
   "level": "l2"
  },
  "CAP_2fa2ca7d": {
   "en": "Click Encoding",
   "zh": "点击编码",
   "level": "l3"
  },
  "CAP_a2c7f6fc": {
   "en": "Test-time Gradient Refinement",
   "zh": "测试时梯度精修",
   "level": "l3"
  },
  "CAP_cdcf3625": {
   "en": "Specialized Feedforward Click Segmentation",
   "zh": "专才前馈点击分割",
   "level": "l3"
  },
  "CAP_92fbec07": {
   "en": "Realtime Interactive Decoder",
   "zh": "实时交互解码器",
   "level": "l3"
  },
  "CAP_c0dd276d": {
   "en": "Scribble Prompt Segmentation",
   "zh": "涂鸦提示分割",
   "level": "l3"
  },
  "CAP_4b1f14e1": {
   "en": "Error-tolerant Scribble Segmentation",
   "zh": "容错涂鸦分割",
   "level": "l3"
  },
  "CAP_18bf71fd": {
   "en": "Extreme Point Segmentation",
   "zh": "极值点分割",
   "level": "l3"
  },
  "CAP_3cafd016": {
   "en": "Progressive Merge Refinement",
   "zh": "渐进合并精修",
   "level": "l3"
  },
  "CAP_b2017ffb": {
   "en": "Inside-outside Guidance Segmentation",
   "zh": "内外框提示分割",
   "level": "l3"
  },
  "CAP_c7decccf": {
   "en": "GrabCut Refinement",
   "zh": "GrabCut 迭代图割精修",
   "level": "l3"
  },
  "CAP_48c09065": {
   "en": "External Mask Init Segmentation",
   "zh": "外部掩码初始化分割",
   "level": "l3"
  },
  "CAP_658fa135": {
   "en": "Mask Prompt SAM",
   "zh": "掩码提示 SAM 解码",
   "level": "l3"
  },
  "CAP_5a9c87b9": {
   "en": "SAM Refiner",
   "zh": "SAM 掩码精修器",
   "level": "l3"
  },
  "CAP_4af52019": {
   "en": "Variance-insensitive Mask Refinement",
   "zh": "方差不敏感掩码精修",
   "level": "l3"
  },
  "CAP_cd83d7c6": {
   "en": "Goal Change Replan Trigger",
   "zh": "目标变更重规划触发",
   "level": "l3"
  },
  "CAP_5f997b0b": {
   "en": "Completed Step Memory",
   "zh": "已完成步骤记忆",
   "level": "l3"
  },
  "CAP_7763a1ae": {
   "en": "Skill Function Calling Executor",
   "zh": "技能函数调用执行器",
   "level": "l3"
  },
  "CAP_1c12e9c3": {
   "en": "Material Unavailable Stop",
   "zh": "材料不可用停止",
   "level": "l3"
  },
  "CAP_19440a84": {
   "en": "Zero-Shot Guideline Swap",
   "zh": "零样本指南替换",
   "level": "l3"
  },
  "CAP_b2f9682b": {
   "en": "Scene Understanding and Ambiguity Detection",
   "zh": "场景理解与歧义检测",
   "level": "l3"
  },
  "CAP_07025392": {
   "en": "Proactive Ambiguity Clarification",
   "zh": "主动歧义澄清",
   "level": "l3"
  },
  "CAP_5108d2b7": {
   "en": "Real-time Interruption Response",
   "zh": "实时中断响应",
   "level": "l3"
  },
  "CAP_c7e23f0d": {
   "en": "Situated Feedback Grounding",
   "zh": "情境反馈接地",
   "level": "l3"
  },
  "CAP_07f497df": {
   "en": "Unified Reasoning, Planning and Interaction",
   "zh": "统一推理规划与交互",
   "level": "l3"
  },
  "CAP_66c7d1ba": {
   "en": "Verbal Status Response",
   "zh": "语言状态回报",
   "level": "l3"
  },
  "CAP_cbf55e4e": {
   "en": "Conformal Uncertainty Ask",
   "zh": "保形预测不确定性求助",
   "level": "l3"
  },
  "CAP_efabbad9": {
   "en": "Task Memory Tree Rollback",
   "zh": "任务记忆树回溯",
   "level": "l3"
  },
  "CAP_e7c1e0a3": {
   "en": "Interruption Intent Classification",
   "zh": "中断意图分类",
   "level": "l3"
  },
  "CAP_4dc89ece": {
   "en": "Memory-Aware Prompt Synthesis",
   "zh": "记忆感知提示合成",
   "level": "l3"
  },
  "CAP_9545e639": {
   "en": "ClosedQAQuestioner",
   "zh": "闭合问答提问者",
   "level": "l3"
  },
  "CAP_968b3873": {
   "en": "ClosedQAQuestioner l3",
   "zh": "闭合问答提问者（叶子）",
   "level": "l3"
  },
  "CAP_04966f0d": {
   "en": "DeterministicOracle",
   "zh": "确定性回答者",
   "level": "l3"
  },
  "CAP_b10c2cf8": {
   "en": "DeterministicOracle l3",
   "zh": "确定性回答者（叶子）",
   "level": "l3"
  },
  "CAP_5844f1ae": {
   "en": "GuesserTargetBox",
   "zh": "目标框猜测者",
   "level": "l3"
  },
  "CAP_95cb26ce": {
   "en": "GuesserTargetBox l3",
   "zh": "目标框猜测者（叶子）",
   "level": "l3"
  },
  "CAP_4b2fd26f": {
   "en": "GameSuccessEvaluator",
   "zh": "游戏成功评估器",
   "level": "l3"
  },
  "CAP_3b1302b4": {
   "en": "GameSuccessEvaluator l3",
   "zh": "游戏成功评估器（叶子）",
   "level": "l3"
  },
  "CAP_d959e463": {
   "en": "AmbiguityDetector",
   "zh": "歧义检测器",
   "level": "l2"
  },
  "CAP_c4555452": {
   "en": "AmbiguityDetector l3",
   "zh": "歧义检测器（叶子）",
   "level": "l3"
  },
  "CAP_c5bf69b7": {
   "en": "OpenQuestioner",
   "zh": "开放提问者",
   "level": "l2"
  },
  "CAP_5e793615": {
   "en": "OpenQuestioner l3",
   "zh": "开放提问者（叶子）",
   "level": "l3"
  },
  "CAP_69de3f7e": {
   "en": "OpenOracle",
   "zh": "开放回答者",
   "level": "l2"
  },
  "CAP_3b1c1ac2": {
   "en": "OpenOracle l3",
   "zh": "开放回答者（叶子）",
   "level": "l3"
  },
  "CAP_02ad35f8": {
   "en": "GuesserOpenBox",
   "zh": "开放框猜测者",
   "level": "l2"
  },
  "CAP_f931cf3f": {
   "en": "GuesserOpenBox l3",
   "zh": "开放框猜测者（叶子）",
   "level": "l3"
  },
  "CAP_1f53f851": {
   "en": "RobotGraspExecutor",
   "zh": "机器人抓取执行器",
   "level": "l2"
  },
  "CAP_28ff6b08": {
   "en": "RobotGraspExecutor l3",
   "zh": "机器人抓取执行器（叶子）",
   "level": "l3"
  },
  "CAP_ecb9e7e0": {
   "en": "DescriptiveQuestionGenerator",
   "zh": "描述性问题生成器",
   "level": "l3"
  },
  "CAP_26efd583": {
   "en": "DescriptiveQuestionGenerator l3",
   "zh": "描述性问题生成器（叶子）",
   "level": "l3"
  },
  "CAP_6aeaa3b4": {
   "en": "PerfectOracleCLEVR",
   "zh": "CLEVR完美回答者",
   "level": "l2"
  },
  "CAP_41c370f5": {
   "en": "PerfectOracleCLEVR l3",
   "zh": "CLEVR完美回答者（叶子）",
   "level": "l3"
  },
  "CAP_be6fe0f4": {
   "en": "UnifiedGuesserOET",
   "zh": "统一猜测器OET",
   "level": "l2"
  },
  "CAP_3c08c136": {
   "en": "UnifiedGuesserOET l3",
   "zh": "统一猜测器OET（叶子）",
   "level": "l3"
  },
  "CAP_afa1b311": {
   "en": "QuestionerRLOptimizer",
   "zh": "提问者RL优化器",
   "level": "l2"
  },
  "CAP_bbedbf48": {
   "en": "QuestionerRLOptimizer l3",
   "zh": "提问者RL优化器（叶子）",
   "level": "l3"
  },
  "CAP_1c4b670d": {
   "en": "Verification Issue Aggregation",
   "zh": "校验问题聚合",
   "level": "l3"
  },
  "CAP_63cd3eef": {
   "en": "ROS Monitoring Node Generation",
   "zh": "ROS监控节点生成",
   "level": "l3"
  },
  "CAP_b175f9be": {
   "en": "TeSSLa ROS Bridge Monitoring",
   "zh": "TeSSLa ROS桥接监控",
   "level": "l3"
  },
  "CAP_21c6b82b": {
   "en": "QTWTL Performance Monitoring",
   "zh": "QTWTL性能监控",
   "level": "l3"
  },
  "CAP_909ad17c": {
   "en": "Learning-based Verification Orchestration",
   "zh": "学习式验证编排",
   "level": "l2"
  },
  "CAP_3b93c771": {
   "en": "Checkpoint Setting",
   "zh": "检查点设定",
   "level": "l3"
  },
  "CAP_b212023a": {
   "en": "Expected State Generation",
   "zh": "预期状态生成",
   "level": "l3"
  },
  "CAP_8d3f11ba": {
   "en": "Actual Observation Acquisition",
   "zh": "实际观测采集",
   "level": "l3"
  },
  "CAP_18badbbd": {
   "en": "Consistent Path Handling",
   "zh": "一致路径处理",
   "level": "l3"
  },
  "CAP_591eaf90": {
   "en": "Deviation Handling",
   "zh": "偏离处理",
   "level": "l3"
  },
  "CAP_fadfc1c4": {
   "en": "Deviation Correction",
   "zh": "偏离修正",
   "level": "l3"
  },
  "CAP_6c333db7": {
   "en": "Visual Representation Pretraining Transfer",
   "zh": "视觉表征预训练迁移",
   "level": "l2"
  },
  "CAP_ff2a2185": {
   "en": "Robot-Oriented Visual Representation",
   "zh": "面向机器人的视觉表征",
   "level": "l3"
  },
  "CAP_1a225d81": {
   "en": "Masked Autoencoding Pretraining",
   "zh": "遮罩自编码预训练",
   "level": "l3"
  },
  "CAP_459a0280": {
   "en": "Motor Control Benchmark Evaluation",
   "zh": "运动控制基准评测",
   "level": "l3"
  },
  "CAP_7917310f": {
   "en": "Frozen Backbone Linear Probe Evaluation",
   "zh": "冻结骨干线性探针评测",
   "level": "l3"
  },
  "CAP_cf8e05b5": {
   "en": "Internet-Video Action Priors",
   "zh": "互联网视频动作先验学习",
   "level": "l2"
  },
  "CAP_e89ac91e": {
   "en": "Action Pseudo-Labeling with IDM",
   "zh": "IDM动作伪标签生成",
   "level": "l3"
  },
  "CAP_be6ef754": {
   "en": "Discrete Latent Action Quantization",
   "zh": "离散隐动作量化",
   "level": "l3"
  },
  "CAP_66017d90": {
   "en": "Continuous Latent Action Priors",
   "zh": "连续隐动作先验",
   "level": "l3"
  },
  "CAP_76cf8446": {
   "en": "Policy Fine-tuning with Action Priors",
   "zh": "动作先验策略微调",
   "level": "l3"
  },
  "CAP_124d8b04": {
   "en": "Internet-Scale Video Dataset Access",
   "zh": "互联网规模视频数据集接入",
   "level": "l2"
  },
  "CAP_0deea006": {
   "en": "Egocentric Video Dataset Access",
   "zh": "第一人称视频数据集接入",
   "level": "l3"
  },
  "CAP_d51a9abc": {
   "en": "Kitchen Egocentric Video Access",
   "zh": "厨房第一人称视频接入",
   "level": "l3"
  },
  "CAP_b5dd7893": {
   "en": "Fine-Grained Hand-Object Video Access",
   "zh": "细粒度手物动作视频接入",
   "level": "l3"
  },
  "CAP_9de835a6": {
   "en": "Dual-View Skill Video Access",
   "zh": "双视角技能视频接入",
   "level": "l3"
  },
  "CAP_d2af6938": {
   "en": "Frame Extraction and Resize",
   "zh": "帧抽取与缩放",
   "level": "l3"
  },
  "CAP_13f0ab3b": {
   "en": "Annotation Integration and Dispatch",
   "zh": "标注接入与分发",
   "level": "l2"
  },
  "CAP_03d85487": {
   "en": "Language Narrative Integration",
   "zh": "语言叙述标注接入",
   "level": "l3"
  },
  "CAP_067037ac": {
   "en": "HOI State Integration",
   "zh": "HOI状态标注接入",
   "level": "l3"
  },
  "CAP_8a0a09d2": {
   "en": "Hand Action Integration",
   "zh": "手动作标注接入",
   "level": "l3"
  },
  "CAP_a5fd1c1d": {
   "en": "Dual-View Integration",
   "zh": "双视角标注接入",
   "level": "l3"
  },
  "CAP_f4e41bc1": {
   "en": "Attention Weight Capture",
   "zh": "注意力权重捕获",
   "level": "l3"
  },
  "CAP_21e090a1": {
   "en": "Attention Weight Aggregation",
   "zh": "注意力权重后处理与聚合",
   "level": "l3"
  },
  "CAP_59154f36": {
   "en": "Attention Heatmap Rendering",
   "zh": "注意力热力图可视化",
   "level": "l3"
  },
  "CAP_1d1eba87": {
   "en": "Spatio-Temporal Attention Tracking",
   "zh": "时空注意力追踪",
   "level": "l3"
  },
  "CAP_71a0182b": {
   "en": "Counterfactual Attention Diagnosis",
   "zh": "反事实注意力诊断",
   "level": "l3"
  },
  "CAP_a3c95dee": {
   "en": "Attention Map Visualization Phase",
   "zh": "事后注意力提取与可视化",
   "level": "l2"
  },
  "CAP_39db9bed": {
   "en": "Attention Head Specialization Configuration",
   "zh": "注意力头专门化配置",
   "level": "l3"
  },
  "CAP_f866dde8": {
   "en": "Multi-Task Auxiliary Loss Training",
   "zh": "多任务辅助损失训练",
   "level": "l3"
  },
  "CAP_68f0deba": {
   "en": "Head Specialization Quality Assessment",
   "zh": "注意力头专门化质量评估",
   "level": "l3"
  },
  "CAP_93b1677c": {
   "en": "Interpretable VLA Head Inference",
   "zh": "可解释 VLA 注意力头推理",
   "level": "l3"
  },
  "CAP_6050872e": {
   "en": "Guided Attention Specialization Phase",
   "zh": "VLA动作注意力头专门化",
   "level": "l2"
  },
  "CAP_70e256e2": {
   "en": "Concept Space Definition",
   "zh": "概念空间定义与构建",
   "level": "l3"
  },
  "CAP_ea03b43d": {
   "en": "Concept Encoder Training",
   "zh": "概念编码器训练",
   "level": "l3"
  },
  "CAP_5dfdce21": {
   "en": "Concept-Level Decision Reasoning",
   "zh": "概念级决策推理",
   "level": "l3"
  },
  "CAP_747c2d6d": {
   "en": "Concept-Level Harmful Concept Detection and Correction",
   "zh": "概念级有害概念检测与修正",
   "level": "l3"
  },
  "CAP_b343bc16": {
   "en": "Knowledge Distillation Back-Propagation",
   "zh": "知识蒸馏回传",
   "level": "l3"
  },
  "CAP_21a01b52": {
   "en": "Concept Bottleneck Decision Phase",
   "zh": "概念瓶颈层决策",
   "level": "l2"
  },
  "CAP_04f7892c": {
   "en": "Causal Modeling and Identification",
   "zh": "因果建模与识别",
   "level": "l2"
  },
  "CAP_dfbff592": {
   "en": "Causal Graph Modeling",
   "zh": "因果图建模",
   "level": "l3"
  },
  "CAP_c772987e": {
   "en": "Effect Identification",
   "zh": "效应识别",
   "level": "l3"
  },
  "CAP_cd57a0e0": {
   "en": "CATE Estimation",
   "zh": "条件平均因果效应估计",
   "level": "l2"
  },
  "CAP_a3d4a332": {
   "en": "CATE Action Effect Estimation",
   "zh": "CATE动作效应估计",
   "level": "l3"
  },
  "CAP_36b42a9e": {
   "en": "Meta-Learner Action Selection",
   "zh": "元学习器动作选择",
   "level": "l3"
  },
  "CAP_aff76be1": {
   "en": "Causal Forest Action Estimation",
   "zh": "因果森林动作效应估计",
   "level": "l3"
  },
  "CAP_53f4c3ae": {
   "en": "DoWhy Causal Refutation",
   "zh": "DoWhy因果反驳检验",
   "level": "l3"
  },
  "CAP_6876c8f1": {
   "en": "Action Selection and Safe Fallback",
   "zh": "动作选择与安全回落",
   "level": "l2"
  },
  "CAP_ee3463ed": {
   "en": "Action Gain Ranking",
   "zh": "动作增益排序",
   "level": "l3"
  },
  "CAP_066ef57f": {
   "en": "Safe Baseline Fallback",
   "zh": "安全基线回落",
   "level": "l3"
  },
  "CAP_4f673ade": {
   "en": "Control Series Selector",
   "zh": "对照序列选择器",
   "level": "l3"
  },
  "CAP_eafc8c87": {
   "en": "Counterfactual Time Series Predictor",
   "zh": "反事实时间序列预测器",
   "level": "l3"
  },
  "CAP_ea53766e": {
   "en": "Intervention Effect Estimator",
   "zh": "干预效应估计器",
   "level": "l3"
  },
  "CAP_6077d023": {
   "en": "Effect Monitor Alert",
   "zh": "效应监测告警器",
   "level": "l3"
  },
  "CAP_cd13fed2": {
   "en": "Fast BSTS Inference",
   "zh": "快速BSTS推理",
   "level": "l3"
  },
  "CAP_81cebdfd": {
   "en": "Confounded Data Collection and Identification",
   "zh": "混杂数据收集与识别",
   "level": "l2"
  },
  "CAP_9ca50891": {
   "en": "CausalWorld Intervention Collection",
   "zh": "CausalWorld干预数据收集",
   "level": "l3"
  },
  "CAP_6f642574": {
   "en": "Confounding Structure Identification",
   "zh": "混杂结构识别",
   "level": "l3"
  },
  "CAP_1496244b": {
   "en": "Confounded Policy Evaluation",
   "zh": "混杂策略评估",
   "level": "l2"
  },
  "CAP_b9c01aa4": {
   "en": "IV-based Confounded Policy Evaluation",
   "zh": "基于工具变量的混杂策略评估",
   "level": "l3"
  },
  "CAP_53124f2f": {
   "en": "Proximal Policy Learning",
   "zh": "近端策略学习",
   "level": "l3"
  },
  "CAP_c5cd3d96": {
   "en": "Causal Policy Improvement and Deployment",
   "zh": "因果策略改进与部署",
   "level": "l2"
  },
  "CAP_be91b8be": {
   "en": "Causal DQN Agent",
   "zh": "因果DQN智能体",
   "level": "l3"
  },
  "CAP_560ae9a2": {
   "en": "Online Effect Monitoring",
   "zh": "在线效应监测",
   "level": "l3"
  },
  "CAP_abda4617": {
   "en": "Shared BoW Vocabulary",
   "zh": "共享BoW词汇表",
   "level": "l2"
  },
  "CAP_41d9d297": {
   "en": "BoW Vector Generation",
   "zh": "BoW向量生成",
   "level": "l3"
  },
  "CAP_bd130139": {
   "en": "Distributed Loop Closure Frontend",
   "zh": "分布式回环前端",
   "level": "l3"
  },
  "CAP_728d7274": {
   "en": "LiDAR Global Descriptor Extraction",
   "zh": "LiDAR全局描述子提取",
   "level": "l2"
  },
  "CAP_1d889137": {
   "en": "LiDARIrisDescriptor",
   "zh": "LiDAR-Iris描述子提取",
   "level": "l3"
  },
  "CAP_a0bf4dee": {
   "en": "CrossRobotLiDARRetrieval",
   "zh": "跨机器人LiDAR检索",
   "level": "l3"
  },
  "CAP_ae764b6c": {
   "en": "CrossRobotRegistration",
   "zh": "跨机器人配准验证",
   "level": "l3"
  },
  "CAP_8f66cd6c": {
   "en": "Distributed PCM",
   "zh": "分布式成对一致性最大化",
   "level": "l3"
  },
  "CAP_348ac043": {
   "en": "Distributed GNC",
   "zh": "分布式渐进非凸优化",
   "level": "l3"
  },
  "CAP_4dce1b37": {
   "en": "Max Clique Inlier Selection",
   "zh": "最大团内点选择",
   "level": "l3"
  },
  "CAP_cb55513e": {
   "en": "Visual Bag of Words Descriptor",
   "zh": "视觉词袋描述子",
   "level": "l3"
  },
  "CAP_6e9e855c": {
   "en": "Descriptor Exchange",
   "zh": "描述子交换",
   "level": "l3"
  },
  "CAP_c59d75de": {
   "en": "Inter Robot Candidate Matching",
   "zh": "跨机器人候选匹配",
   "level": "l3"
  },
  "CAP_f5561da3": {
   "en": "Scan Context Descriptor Extraction",
   "zh": "扫描上下文描述子提取",
   "level": "l3"
  },
  "CAP_da4b7e49": {
   "en": "Scan Context Similarity Search",
   "zh": "扫描上下文相似度搜索",
   "level": "l3"
  },
  "CAP_c7efac5c": {
   "en": "LiDAR Iris Descriptor Extraction",
   "zh": "LiDAR Iris描述子提取",
   "level": "l3"
  },
  "CAP_9d1a6852": {
   "en": "LiDAR Iris Similarity Search",
   "zh": "LiDAR Iris相似度搜索",
   "level": "l3"
  },
  "CAP_56a18f51": {
   "en": "Inter Robot Lidar Candidate Matching",
   "zh": "跨机器人LiDAR候选匹配",
   "level": "l3"
  },
  "CAP_8c1820a7": {
   "en": "Lidar Geometric Verification Entry",
   "zh": "LiDAR几何验证入口",
   "level": "l3"
  },
  "CAP_c36b66d8": {
   "en": "Graduated Non-Convexity PGO",
   "zh": "渐进非凸位姿图优化",
   "level": "l3"
  },
  "CAP_ff0a59f4": {
   "en": "Distributed PGO Solver",
   "zh": "分布式位姿图优化求解器",
   "level": "l3"
  },
  "CAP_78fd9e00": {
   "en": "Local State Estimation",
   "zh": "本地状态估计",
   "level": "l3"
  },
  "CAP_5272b755": {
   "en": "Pseudomeasurement Preintegration Sync",
   "zh": "伪观测预积分同步",
   "level": "l3"
  },
  "CAP_3c163795": {
   "en": "Event-Triggered State Sync",
   "zh": "事件触发状态同步",
   "level": "l3"
  },
  "CAP_92dde68e": {
   "en": "Flooding Time Sync",
   "zh": "洪泛时间同步",
   "level": "l3"
  },
  "CAP_27b62944": {
   "en": "Single-Timestamp Skew Correction",
   "zh": "单时间戳偏斜校正",
   "level": "l3"
  },
  "CAP_4eb20573": {
   "en": "gPTP Clock Sync",
   "zh": "gPTP 时钟同步",
   "level": "l3"
  },
  "CAP_4e1e7553": {
   "en": "Shared Belief Sync",
   "zh": "共享信念同步",
   "level": "l2"
  },
  "CAP_047af9f0": {
   "en": "Mutual Belief Sync",
   "zh": "相互信念同步",
   "level": "l3"
  },
  "CAP_8bc65e86": {
   "en": "Distributed Belief Fusion",
   "zh": "分布式信念融合",
   "level": "l3"
  },
  "CAP_8dfa8161": {
   "en": "Shared Scene Graph Sync",
   "zh": "共享场景图同步",
   "level": "l3"
  },
  "CAP_ae6671b1": {
   "en": "Epistemic Common Belief",
   "zh": "认知公共信念",
   "level": "l3"
  },
  "CAP_1f74d436": {
   "en": "Blackboard Shared State",
   "zh": "共享黑板状态",
   "level": "l3"
  },
  "CAP_463cb71d": {
   "en": "Controllable Feature Encoder for Curiosity Driven Exploration",
   "zh": "好奇心驱动探索的可控特征编码器",
   "level": "l3"
  },
  "CAP_1b4a4fad": {
   "en": "ICM Prediction Error Reward for Exploration",
   "zh": "基于ICM预测误差的探索奖励",
   "level": "l3"
  },
  "CAP_922aba55": {
   "en": "Disagreement Ensemble Reward for Exploration",
   "zh": "基于集成模型分歧的探索奖励",
   "level": "l3"
  },
  "CAP_4d65e34a": {
   "en": "Differentiable Disagreement Exploration Strategy",
   "zh": "可微分分歧探索策略",
   "level": "l3"
  },
  "CAP_0b806c02": {
   "en": "Large Scale Curiosity Trainer for Distributed RL",
   "zh": "大规模分布式好奇心训练器",
   "level": "l3"
  },
  "CAP_b648b850": {
   "en": "Random Network Distillation Reward",
   "zh": "随机网络蒸馏奖励",
   "level": "l3"
  },
  "CAP_ad94faba": {
   "en": "Plan2Explore World Model",
   "zh": "Plan2Explore世界模型",
   "level": "l3"
  },
  "CAP_2f01f664": {
   "en": "Latent Disagreement Info Gain",
   "zh": "潜在分歧信息增益",
   "level": "l3"
  },
  "CAP_cdf9dfa0": {
   "en": "Expected Future Novelty Planner",
   "zh": "预期未来新颖性规划器",
   "level": "l3"
  },
  "CAP_bd9d3e74": {
   "en": "Novelty Guided Policy Optimizer",
   "zh": "新颖性引导策略优化器",
   "level": "l3"
  },
  "CAP_2dc2f18b": {
   "en": "IMGEP Auto Goal Generation",
   "zh": "IMGEP自动目标生成",
   "level": "l3"
  },
  "CAP_37f30a53": {
   "en": "Sensorimotor Developmental Exploration",
   "zh": "传感运动发展探索",
   "level": "l3"
  },
  "CAP_ed14f147": {
   "en": "NoisyNet Param Exploration",
   "zh": "NoisyNet参数探索",
   "level": "l3"
  },
  "CAP_c22602fb": {
   "en": "Bootstrapped DQN Activation",
   "zh": "Bootstrapped DQN激活",
   "level": "l3"
  },
  "CAP_ebaf8ba5": {
   "en": "Real Robot Curiosity Deploy",
   "zh": "真实机器人好奇心部署",
   "level": "l3"
  },
  "CAP_45fdbf04": {
   "en": "RND Robot Exploration Adaptation",
   "zh": "RND机器人探索适配",
   "level": "l3"
  },
  "CAP_cad62454": {
   "en": "Object-Centric Perception and Attribute Extraction",
   "zh": "物体中心感知与属性提取",
   "level": "l2"
  },
  "CAP_6dd1f830": {
   "en": "Mask R-CNN Object Detection",
   "zh": "Mask R-CNN物体检测",
   "level": "l3"
  },
  "CAP_730635d0": {
   "en": "One-Step Dynamics Message Passing",
   "zh": "一步动力学消息传递",
   "level": "l3"
  },
  "CAP_0946aabb": {
   "en": "Multi-Step Rollout and Collision Event Generation",
   "zh": "多步rollout与碰撞事件生成",
   "level": "l3"
  },
  "CAP_77ce0b8c": {
   "en": "Symbolic Program Execution and Four-Type QA",
   "zh": "符号程序执行与四类问答",
   "level": "l3"
  },
  "CAP_aa6e8762": {
   "en": "Mesh Graph Construction",
   "zh": "网格图构建",
   "level": "l3"
  },
  "CAP_6198690d": {
   "en": "Node Feature Encoding",
   "zh": "节点特征编码",
   "level": "l3"
  },
  "CAP_3409f639": {
   "en": "Message Passing Processor",
   "zh": "消息传递处理器",
   "level": "l2"
  },
  "CAP_34460b94": {
   "en": "Message Passing Steps",
   "zh": "消息传递步骤",
   "level": "l3"
  },
  "CAP_ebecd40e": {
   "en": "Decoder and Integration",
   "zh": "解码器与积分",
   "level": "l2"
  },
  "CAP_d5d22688": {
   "en": "Decode and Euler Integrate",
   "zh": "解码与欧拉积分",
   "level": "l3"
  },
  "CAP_1cb081c3": {
   "en": "Autoregressive Rollout",
   "zh": "自回归 rollout",
   "level": "l2"
  },
  "CAP_5a7f8f8e": {
   "en": "Autoregressive Rollout Loop",
   "zh": "自回归 rollout 循环",
   "level": "l3"
  },
  "CAP_767cd283": {
   "en": "Object-Centric Decomposition",
   "zh": "对象中心分解",
   "level": "l2"
  },
  "CAP_8fe5d639": {
   "en": "Slot Extraction",
   "zh": "Slot 提取",
   "level": "l3"
  },
  "CAP_fe0f11cb": {
   "en": "Dynamics Prediction",
   "zh": "动力学预测",
   "level": "l2"
  },
  "CAP_fb7b8e86": {
   "en": "PDE-Constrained Video Prediction",
   "zh": "PDE 约束视频预测",
   "level": "l3"
  },
  "CAP_91049c4f": {
   "en": "Transformer Slot Dynamics",
   "zh": "Transformer Slot 动力学",
   "level": "l3"
  },
  "CAP_a98c7260": {
   "en": "Decoding and Rendering",
   "zh": "解码与渲染",
   "level": "l2"
  },
  "CAP_7be550ff": {
   "en": "Frame Decoding",
   "zh": "帧解码",
   "level": "l3"
  },
  "CAP_b3c8effb": {
   "en": "Slot Space Rollout",
   "zh": "Slot 空间 Rollout",
   "level": "l3"
  },
  "CAP_17ed0367": {
   "en": "VQA Reasoning",
   "zh": "VQA 推理",
   "level": "l3"
  },
  "CAP_40962be1": {
   "en": "Physical Concept Evaluation",
   "zh": "物理概念测评",
   "level": "l3"
  },
  "CAP_cbd3a66b": {
   "en": "Evaluation Loop",
   "zh": "评测闭环",
   "level": "l2"
  },
  "CAP_6ba6ee31": {
   "en": "Physical Reasoning Benchmark Evaluation",
   "zh": "物理推理基准评测",
   "level": "l3"
  },
  "CAP_b3d11b85": {
   "en": "Analytical Derivative Computation",
   "zh": "刚体动力学解析导数计算",
   "level": "l3"
  },
  "CAP_f57a0e2a": {
   "en": "Rigid-Body Inverse Dynamics and Whole-Body Torque Control",
   "zh": "解析刚体逆动力学与全身力矩控制",
   "level": "l2"
  },
  "CAP_cc3a0340": {
   "en": "Task-Space Inverse Dynamics QP Pipeline",
   "zh": "任务空间逆动力学 QP 流水线",
   "level": "l2"
  },
  "CAP_b8ffc322": {
   "en": "Inverse-Dynamics Acceleration-Force Modeling",
   "zh": "逆动力学加速度力建模",
   "level": "l3"
  },
  "CAP_1267e6be": {
   "en": "Data-Driven Inverse Dynamics Learning",
   "zh": "数据驱动逆动力学学习",
   "level": "l2"
  },
  "CAP_efe435b7": {
   "en": "Inverse Dynamics Learning",
   "zh": "逆动力学学习",
   "level": "l3"
  },
  "CAP_1064a444": {
   "en": "Locally Weighted Projection Regression Online Learning",
   "zh": "LWPR 在线残差学习",
   "level": "l3"
  },
  "CAP_e48fc63c": {
   "en": "Trajectory Data Acquisition for Inverse Dynamics",
   "zh": "逆动力学轨迹数据采集",
   "level": "l3"
  },
  "CAP_89d91d94": {
   "en": "Residual Computation",
   "zh": "残差力矩计算",
   "level": "l3"
  },
  "CAP_d2b8353c": {
   "en": "Lagrangian Mass Matrix Estimation",
   "zh": "拉格朗日质量矩阵估计",
   "level": "l3"
  },
  "CAP_174c1db7": {
   "en": "Potential Energy Network",
   "zh": "势能网络",
   "level": "l3"
  },
  "CAP_7777e342": {
   "en": "Euler-Lagrange Inverse Dynamics",
   "zh": "欧拉-拉格朗日逆动力学",
   "level": "l3"
  },
  "CAP_82a517fe": {
   "en": "Differentiable Physics Training",
   "zh": "可微分物理训练",
   "level": "l2"
  },
  "CAP_807c598d": {
   "en": "Differentiable Simulator Setup",
   "zh": "可微分仿真器搭建",
   "level": "l3"
  },
  "CAP_86881642": {
   "en": "End-to-End Gradient IDM Training",
   "zh": "端到端梯度逆动力学训练",
   "level": "l3"
  },
  "CAP_05a0a47b": {
   "en": "Trajectory Torque Inference",
   "zh": "轨迹力矩推理",
   "level": "l3"
  },
  "CAP_0914e985": {
   "en": "Structured IDM Data Preparation",
   "zh": "结构化逆动力学数据准备",
   "level": "l3"
  },
  "CAP_0a96698f": {
   "en": "TRAC-IK Solve",
   "zh": "TRAC-IK 双轨逆运动学求解",
   "level": "l3"
  },
  "CAP_dc6e2f34": {
   "en": "KDL Pseudoinverse IK",
   "zh": "Orocos KDL 伪逆逆运动学",
   "level": "l3"
  },
  "CAP_c0ade408": {
   "en": "URDF Kinematic Modeling",
   "zh": "URDF 运动学建模",
   "level": "l3"
  },
  "CAP_ce5607b3": {
   "en": "MoveIt IKFast Plugin",
   "zh": "MoveIt IKFast 插件",
   "level": "l3"
  },
  "CAP_3ea5b093": {
   "en": "Differentiable Forward Kinematics",
   "zh": "可微正运动学",
   "level": "l3"
  },
  "CAP_53137429": {
   "en": "GPU Parallel IK",
   "zh": "GPU 并行逆运动学",
   "level": "l3"
  },
  "CAP_f4179116": {
   "en": "SciPy DLS IK",
   "zh": "SciPy 最小二乘逆运动学",
   "level": "l3"
  },
  "CAP_cee894a7": {
   "en": "LIPM Model Linearization",
   "zh": "LIPM 模型线性化",
   "level": "l3"
  },
  "CAP_1a612d96": {
   "en": "ZMP Reference Planning",
   "zh": "ZMP 参考轨迹规划",
   "level": "l3"
  },
  "CAP_9e8205dc": {
   "en": "ZMP Preview Control Servo",
   "zh": "ZMP 预览控制伺服",
   "level": "l3"
  },
  "CAP_ad7f3c68": {
   "en": "CoM Trajectory Generation",
   "zh": "质心轨迹生成",
   "level": "l3"
  },
  "CAP_7c716311": {
   "en": "Model Error Compensation",
   "zh": "模型误差补偿",
   "level": "l3"
  },
  "CAP_f2d12120": {
   "en": "DCM Error PID Tracking",
   "zh": "DCM误差PID跟踪",
   "level": "l3"
  },
  "CAP_d254586d": {
   "en": "Desired Wrench Synthesis",
   "zh": "期望力螺旋合成",
   "level": "l3"
  },
  "CAP_04ad4910": {
   "en": "Inverted Pendulum Attitude Estimation",
   "zh": "倒立摆姿态估计",
   "level": "l3"
  },
  "CAP_a06782fa": {
   "en": "Single-Axis LIPM Balance Controller",
   "zh": "单轴LIPM平衡控制器",
   "level": "l3"
  },
  "CAP_99b07ccb": {
   "en": "Wheel Torque Execution",
   "zh": "轮扭矩执行",
   "level": "l3"
  },
  "CAP_0a6b055f": {
   "en": "ROS 2 Kubernetes Robot Lifecycle",
   "zh": "ROS 2 Kubernetes 机器人声明式生命周期管理",
   "level": "l3"
  },
  "CAP_e01ca51c": {
   "en": "Istio Envoy Sidecar Auto-Injection",
   "zh": "Istio Envoy Sidecar 自动注入",
   "level": "l2"
  },
  "CAP_db1ca275": {
   "en": "Version Weighted Routing",
   "zh": "ROS 2 感知节点 VirtualService 加权金丝雀",
   "level": "l3"
  },
  "CAP_cbdfe08a": {
   "en": "EBPF XDP Forward",
   "zh": "eBPF/XDP 内核级早期转发",
   "level": "l3"
  },
  "CAP_019378ff": {
   "en": "EBPF Service Load Balancing",
   "zh": "eBPF 服务负载均衡（kube-proxy 替代）",
   "level": "l3"
  },
  "CAP_55ebd0f5": {
   "en": "HBONE L4 Tunnel",
   "zh": "HBONE L4 安全隧道（ztunnel）",
   "level": "l3"
  },
  "CAP_8ffaa951": {
   "en": "Mixed-criticality Real-time Traffic Shaping",
   "zh": "混合关键性实时流量整形",
   "level": "l3"
  },
  "CAP_7464dec2": {
   "en": "Waypoint L7 Processing",
   "zh": "waypoint 按需 L7 处理",
   "level": "l3"
  },
  "CAP_29c298a1": {
   "en": "Edge GPU Inference Load Balancing",
   "zh": "边缘 GPU 节点感知推理 LB",
   "level": "l3"
  },
  "CAP_481ee27b": {
   "en": "Multi-Tier Control Plane",
   "zh": "分层控制平面",
   "level": "l2"
  },
  "CAP_81a57f19": {
   "en": "Robotic Safety State Coupling",
   "zh": "机器人安全状态耦合",
   "level": "l2"
  },
  "CAP_15686410": {
   "en": "Intent-Driven Safety Policy",
   "zh": "意图驱动安全策略",
   "level": "l2"
  },
  "CAP_a469dac5": {
   "en": "Multi-Primary Multi-Network Control Plane Setup",
   "zh": "多主多网络控制平面搭建",
   "level": "l3"
  },
  "CAP_1cbb45ba": {
   "en": "Cross-Cluster Service Discovery",
   "zh": "跨集群服务发现",
   "level": "l3"
  },
  "CAP_0c53e573": {
   "en": "Ambient Ztunnel L4 Enforcement",
   "zh": "Ambient ztunnel L4 强制",
   "level": "l3"
  },
  "CAP_337c9741": {
   "en": "Istio Policy Compiler",
   "zh": "Istio 策略编译器",
   "level": "l3"
  },
  "CAP_bde482f9": {
   "en": "Network QoS to Physical Safety Feedback Loop",
   "zh": "网络 QoS 到物理安全反馈闭环",
   "level": "l3"
  },
  "CAP_f58d942d": {
   "en": "Joint One-Shot Detection-ReID Tracking",
   "zh": "单阶段检测-重识别联合跟踪",
   "level": "l2"
  },
  "CAP_e443cb5a": {
   "en": "Joint Detection Head Prediction",
   "zh": "联合检测头预测",
   "level": "l3"
  },
  "CAP_093fc163": {
   "en": "Online Kalman-Hungarian Data Association",
   "zh": "在线卡尔曼-匈牙利数据关联",
   "level": "l3"
  },
  "CAP_9b85ad50": {
   "en": "3D Multimodal Joint Detection-Tracking",
   "zh": "3D 多模态联合检测跟踪",
   "level": "l2"
  },
  "CAP_7a16a858": {
   "en": "CenterPoint Detection Head",
   "zh": "CenterPoint 检测头",
   "level": "l3"
  },
  "CAP_47cb1eef": {
   "en": "3D Kalman MOT Association",
   "zh": "3D 卡尔曼多目标关联",
   "level": "l3"
  },
  "CAP_adfecccf": {
   "en": "3D GIoU Affinity Computation",
   "zh": "3D GIoU 相似度计算",
   "level": "l3"
  },
  "CAP_3d3c3f7d": {
   "en": "Frozen Encoder Probing",
   "zh": "冻结编码器探测",
   "level": "l3"
  },
  "CAP_8da3435a": {
   "en": "Action-Conditioned World Model Post-training",
   "zh": "动作条件世界模型后训练",
   "level": "l3"
  },
  "CAP_ce3b45f2": {
   "en": "Latent Space MPC Planning",
   "zh": "潜空间 MPC 规划",
   "level": "l3"
  },
  "CAP_8cc9beda": {
   "en": "Redundancy-Reduction Joint Embedding",
   "zh": "冗余约简联合嵌入",
   "level": "l2"
  },
  "CAP_a2c7f0ec": {
   "en": "Dual-View Augmentation",
   "zh": "双视图增强",
   "level": "l3"
  },
  "CAP_d5997a3b": {
   "en": "Encoder and Projector Mapping",
   "zh": "编码器与投影头映射",
   "level": "l3"
  },
  "CAP_1a220135": {
   "en": "VICReg Representation",
   "zh": "VICReg 表征",
   "level": "l3"
  },
  "CAP_39d6b4b5": {
   "en": "Barlow Twins Representation",
   "zh": "Barlow Twins 表征",
   "level": "l3"
  },
  "CAP_49bd9e60": {
   "en": "MC-JEPA Motion-Content Encoder",
   "zh": "MC-JEPA 运动内容编码器",
   "level": "l3"
  },
  "CAP_ed983a58": {
   "en": "Self-Distillation Joint Embedding",
   "zh": "自蒸馏联合嵌入",
   "level": "l2"
  },
  "CAP_38319ad4": {
   "en": "BYOL Visual Encoder",
   "zh": "BYOL 视觉编码器",
   "level": "l3"
  },
  "CAP_9b43da1e": {
   "en": "SimSiam Visual Encoder",
   "zh": "SimSiam 视觉编码器",
   "level": "l3"
  },
  "CAP_c189636f": {
   "en": "Decoupled SSL Plus LWR",
   "zh": "解耦自监督表征与局部加权回归",
   "level": "l3"
  },
  "CAP_1e35f565": {
   "en": "Tactile SSL Encoder",
   "zh": "触觉自监督编码器",
   "level": "l3"
  },
  "CAP_6e91bd57": {
   "en": "Non-Parametric Tactile-Visual Imitation",
   "zh": "非参数触觉视觉模仿",
   "level": "l3"
  },
  "CAP_842876de": {
   "en": "Non-Parametric Action Head",
   "zh": "非参数动作头",
   "level": "l2"
  },
  "CAP_14851bbd": {
   "en": "Excitation Trajectory Design",
   "zh": "激励轨迹设计",
   "level": "l3"
  },
  "CAP_e621671b": {
   "en": "Model Structure Selection",
   "zh": "模型结构选择",
   "level": "l3"
  },
  "CAP_5bec78a7": {
   "en": "Constant Velocity Experiment",
   "zh": "恒速实验",
   "level": "l3"
  },
  "CAP_7e5d924c": {
   "en": "Parameter Estimation",
   "zh": "参数辨识",
   "level": "l3"
  },
  "CAP_5c5dea29": {
   "en": "Model Validation",
   "zh": "模型验证",
   "level": "l3"
  },
  "CAP_88fa3b57": {
   "en": "Harmonic Drive Friction Model Identification",
   "zh": "谐波减速器摩擦模型辨识",
   "level": "l2"
  },
  "CAP_1f7a77ee": {
   "en": "EGMS Adaptive Feedforward",
   "zh": "E-GMS自适应前馈补偿",
   "level": "l3"
  },
  "CAP_69159b73": {
   "en": "Real-Time Friction Feedforward",
   "zh": "实时摩擦前馈",
   "level": "l3"
  },
  "CAP_14ef2cc1": {
   "en": "PINN Friction Estimator",
   "zh": "PINN摩擦估计器",
   "level": "l3"
  },
  "CAP_29746d3f": {
   "en": "Adaptive Error Learning Viscous",
   "zh": "自适应误差学习粘性摩擦",
   "level": "l3"
  },
  "CAP_8316a766": {
   "en": "Motor Current Torque Estimation",
   "zh": "电机电流力矩估计",
   "level": "l3"
  },
  "CAP_11005d86": {
   "en": "Observer Estimation",
   "zh": "观测器估计",
   "level": "l3"
  },
  "CAP_2e013f7e": {
   "en": "Model-Free Friction Observer",
   "zh": "无模型摩擦观测器",
   "level": "l3"
  },
  "CAP_e12192ec": {
   "en": "Six-Dim Virtual Sensor",
   "zh": "6D 虚拟传感器",
   "level": "l3"
  },
  "CAP_e4580f15": {
   "en": "Dual Observer Backstepping",
   "zh": "双观测器反步控制",
   "level": "l3"
  },
  "CAP_01adee98": {
   "en": "Compliant Friction Observer",
   "zh": "柔顺摩擦观测器",
   "level": "l3"
  },
  "CAP_7df6a2d3": {
   "en": "Compensation Application",
   "zh": "补偿下发",
   "level": "l2"
  },
  "CAP_355c7ea8": {
   "en": "Joint Impedance Torque Synthesis",
   "zh": "关节阻抗力矩合成",
   "level": "l3"
  },
  "CAP_7189c715": {
   "en": "Realtime Joint Torque Tracking",
   "zh": "实时关节力矩跟踪",
   "level": "l3"
  },
  "CAP_6516249c": {
   "en": "Gravity Coriolis Compensation",
   "zh": "重力与科里奥利补偿",
   "level": "l3"
  },
  "CAP_377437a4": {
   "en": "Joint Impedance Parameter Configuration",
   "zh": "关节阻抗参数在线配置",
   "level": "l3"
  },
  "CAP_478ed05c": {
   "en": "Joint External Torque Estimation",
   "zh": "关节外力矩估计",
   "level": "l3"
  },
  "CAP_b27da334": {
   "en": "Impedance Parameter Inference",
   "zh": "阻抗参数推断",
   "level": "l3"
  },
  "CAP_3ce85bb5": {
   "en": "Contact-Rich Task Execution",
   "zh": "接触丰富任务执行",
   "level": "l3"
  },
  "CAP_ca08fdfc": {
   "en": "PHRI Joint Compliance",
   "zh": "人机交互关节柔顺",
   "level": "l3"
  },
  "CAP_7cb51c59": {
   "en": "Joint Torque Threshold Safety",
   "zh": "关节力矩阈值安全",
   "level": "l3"
  },
  "CAP_8ad91066": {
   "en": "Adaptive Stiffness PHRI",
   "zh": "人机交互自适应刚度",
   "level": "l3"
  },
  "CAP_f9a39f4a": {
   "en": "Null Space Joint Compliance",
   "zh": "零空间关节柔顺",
   "level": "l3"
  },
  "CAP_0a3f80a0": {
   "en": "Compliant Joint Hardware",
   "zh": "柔顺关节硬件",
   "level": "l3"
  },
  "CAP_550aaeca": {
   "en": "Null-Space Joint Limit Avoidance",
   "zh": "零空间关节限位规避",
   "level": "l2"
  },
  "CAP_4de9c2c7": {
   "en": "Redundant Jacobian Computation",
   "zh": "冗余雅可比矩阵计算",
   "level": "l3"
  },
  "CAP_0c4dc1ed": {
   "en": "Minimum-Norm Differential IK",
   "zh": "最小范数微分逆运动学",
   "level": "l3"
  },
  "CAP_11c51df4": {
   "en": "Saturation-in-Null-Space Hard Constraint Resolution",
   "zh": "饱和零空间硬约束解析",
   "level": "l3"
  },
  "CAP_7120888f": {
   "en": "Null-Space Gradient Projection Limit Avoidance",
   "zh": "零空间梯度投影限位规避",
   "level": "l3"
  },
  "CAP_679b457c": {
   "en": "Weighted Least-Norm Limit Avoidance",
   "zh": "加权最小范数限位规避",
   "level": "l3"
  },
  "CAP_58c0fbfe": {
   "en": "Humanoid WBC Joint Limit Constraint",
   "zh": "人形全身控制关节限位约束",
   "level": "l2"
  },
  "CAP_1eec5039": {
   "en": "WBC Joint Position Limit",
   "zh": "关节位置限位（WBC 硬约束）",
   "level": "l3"
  },
  "CAP_d44c066a": {
   "en": "WBC Joint Velocity Limit",
   "zh": "关节速度限位（WBC 硬约束）",
   "level": "l3"
  },
  "CAP_9909d894": {
   "en": "WBC Joint Acceleration Limit",
   "zh": "关节加速度限位（防冲击）",
   "level": "l3"
  },
  "CAP_da4fdc6a": {
   "en": "HQP Inequality Constraint (iHQP)",
   "zh": "分层 QP 单边约束（任意优先级）",
   "level": "l3"
  },
  "CAP_6c7e5444": {
   "en": "CBF Joint Limit Safety Filter",
   "zh": "指数 CBF 关节限位安全滤波",
   "level": "l3"
  },
  "CAP_5dcf095e": {
   "en": "Whole-Body QP Solver",
   "zh": "全身 QP/HQP 求解器（1 kHz）",
   "level": "l3"
  },
  "CAP_ea6bb990": {
   "en": "TSID Inverse-Dynamics WBC",
   "zh": "基于逆动力学的人形 WBC（TSID）",
   "level": "l3"
  },
  "CAP_645b7db4": {
   "en": "MPC Joint-Limit-Aware Planning",
   "zh": "限位感知的 MPC / 参考规划",
   "level": "l3"
  },
  "CAP_8e7de24a": {
   "en": "RL Joint Limit Safety Layer",
   "zh": "强化学习关节限位安全层",
   "level": "l2"
  },
  "CAP_63e085a1": {
   "en": "Safety-Signal Linear Model Pretraining",
   "zh": "安全信号线性模型预训练",
   "level": "l3"
  },
  "CAP_fcea6037": {
   "en": "Closed-Form Safety Layer Projection",
   "zh": "闭式安全层动作投影",
   "level": "l3"
  },
  "CAP_22f26b75": {
   "en": "Constraint Manifold Tangent Projection",
   "zh": "约束流形切空间投影",
   "level": "l3"
  },
  "CAP_5e1335a8": {
   "en": "Safety Filter Infeasibility Slack Fallback",
   "zh": "安全滤波器不可行松弛回退",
   "level": "l3"
  },
  "CAP_62ba5a03": {
   "en": "Constrained Limit-Embedded Motion Planning",
   "zh": "约束嵌入限位运动规划",
   "level": "l2"
  },
  "CAP_514c7949": {
   "en": "Sampling-Based Planner With Joint Limits",
   "zh": "采样规划限位",
   "level": "l3"
  },
  "CAP_8ca546d2": {
   "en": "IK Solution Scoring and Selection",
   "zh": "IK 解评分与选择",
   "level": "l3"
  },
  "CAP_aecd6d5a": {
   "en": "Limit-Aware Whole-Body Control",
   "zh": "限位感知全身控制",
   "level": "l2"
  },
  "CAP_373c7a5d": {
   "en": "Joint Torque Limit Enforcement",
   "zh": "关节力矩限位执行",
   "level": "l3"
  },
  "CAP_4207cfd5": {
   "en": "Hierarchical Task Prioritization",
   "zh": "分层任务优先级",
   "level": "l3"
  },
  "CAP_d2b6bec0": {
   "en": "Learned Implicit Limit Avoidance",
   "zh": "学习型隐式限位规避",
   "level": "l2"
  },
  "CAP_be957535": {
   "en": "RL Locomotion Training Pipeline",
   "zh": "RL 运动训练流水线",
   "level": "l3"
  },
  "CAP_ed4fde40": {
   "en": "PPO Training for Bipedal Locomotion",
   "zh": "双足运动 PPO 训练",
   "level": "l3"
  },
  "CAP_7ad877aa": {
   "en": "Recovery Policy Safe Reinforcement Learning",
   "zh": "安全强化学习恢复策略",
   "level": "l3"
  },
  "CAP_287c3711": {
   "en": "Joint Group Position Control",
   "zh": "关节组位置控制",
   "level": "l3"
  },
  "CAP_12dd2212": {
   "en": "Joint State Broadcast",
   "zh": "关节状态广播",
   "level": "l3"
  },
  "CAP_88f5b24e": {
   "en": "Position Hardware Interface Bind",
   "zh": "位置硬件接口绑定",
   "level": "l3"
  },
  "CAP_2ba63244": {
   "en": "Effort Position Control Simulation",
   "zh": "力矩位置控制仿真",
   "level": "l3"
  },
  "CAP_5ac39d1a": {
   "en": "Independent Joint PD Control",
   "zh": "独立关节 PD 控制",
   "level": "l3"
  },
  "CAP_20c8ef65": {
   "en": "Gravity Compensated PD Control",
   "zh": "重力补偿 PD 控制",
   "level": "l3"
  },
  "CAP_a45a8e13": {
   "en": "Servo Position Mode",
   "zh": "伺服位置模式",
   "level": "l2"
  },
  "CAP_12ea0605": {
   "en": "FOC Three Loop Control",
   "zh": "FOC 三环串级控制",
   "level": "l3"
  },
  "CAP_2363d370": {
   "en": "Absolute Encoder Feedback",
   "zh": "绝对编码器反馈",
   "level": "l3"
  },
  "CAP_35f9fda3": {
   "en": "CAN Joint Command",
   "zh": "CAN 关节指令",
   "level": "l3"
  },
  "CAP_d7c31507": {
   "en": "Software Torque Saturation Limiter",
   "zh": "软件层力矩饱和限幅",
   "level": "l3"
  },
  "CAP_11db4596": {
   "en": "Reference Trajectory Acquisition",
   "zh": "参考轨迹获取",
   "level": "l3"
  },
  "CAP_99d3e976": {
   "en": "Rigid Body Dynamics Feedforward",
   "zh": "刚体动力学前馈",
   "level": "l3"
  },
  "CAP_efdd45a9": {
   "en": "Computed Torque Controller",
   "zh": "计算力矩控制器",
   "level": "l3"
  },
  "CAP_63fbfd2d": {
   "en": "Augmented Computed Torque Residual",
   "zh": "增强计算力矩残差补偿",
   "level": "l3"
  },
  "CAP_6cddf74f": {
   "en": "Encoder Velocity Feedback Estimation",
   "zh": "编码器速度反馈估计",
   "level": "l3"
  },
  "CAP_a107a3ed": {
   "en": "Servo Joint Velocity PID",
   "zh": "伺服关节速度 PID",
   "level": "l3"
  },
  "CAP_25c734df": {
   "en": "Velocity Loop Gain Tuning",
   "zh": "速度环增益整定",
   "level": "l3"
  },
  "CAP_7dfea26e": {
   "en": "Jerk-Limited State-to-State OTG",
   "zh": "jerk 受限状态到状态在线轨迹生成",
   "level": "l3"
  },
  "CAP_4f9e91ac": {
   "en": "Velocity Control and Stop Interface",
   "zh": "速度控制与安全停止接口",
   "level": "l3"
  },
  "CAP_30c64804": {
   "en": "Time-Optimal Path Parametrization (TOPP-RA)",
   "zh": "基于可达性分析的时间最优路径参数化",
   "level": "l3"
  },
  "CAP_cd85c9a3": {
   "en": "Reflexxes Legacy OTG",
   "zh": "Reflexxes 遗留在线轨迹生成",
   "level": "l3"
  },
  "CAP_2e5b65a8": {
   "en": "Trajectory Tracking Feedforward",
   "zh": "轨迹跟踪前馈",
   "level": "l3"
  },
  "CAP_a5385a14": {
   "en": "Wheeled Velocity Dispatch",
   "zh": "轮式速度分发",
   "level": "l2"
  },
  "CAP_a420df83": {
   "en": "Body Twist Reception",
   "zh": "车身速度指令接收",
   "level": "l3"
  },
  "CAP_eb7ad86c": {
   "en": "Diff Drive Velocity Dispatch",
   "zh": "差速驱动速度分发",
   "level": "l3"
  },
  "CAP_d5bb1a7d": {
   "en": "Mecanum Velocity Dispatch",
   "zh": "麦克纳姆轮速度分发",
   "level": "l3"
  },
  "CAP_6fc690d3": {
   "en": "Ackermann Velocity Dispatch",
   "zh": "阿克曼速度分发",
   "level": "l3"
  },
  "CAP_b8fb7d97": {
   "en": "Velocity Command Limiting",
   "zh": "速度指令限幅",
   "level": "l3"
  },
  "CAP_48272b07": {
   "en": "Wheel Odometry Feedback",
   "zh": "轮式里程计反馈",
   "level": "l3"
  },
  "CAP_d85618be": {
   "en": "Thermal RC Network Junction Temperature Estimation",
   "zh": "热RC网络结温估计",
   "level": "l2"
  },
  "CAP_c41acdf3": {
   "en": "Power Loss Model Computation",
   "zh": "功率损耗模型计算",
   "level": "l3"
  },
  "CAP_dd2d6923": {
   "en": "Thermal Network Parameter Fitting",
   "zh": "热网络参数拟合",
   "level": "l3"
  },
  "CAP_8fab69ad": {
   "en": "Thermal Network Recursive Integration",
   "zh": "热网络递推积分",
   "level": "l3"
  },
  "CAP_841e85d5": {
   "en": "Junction Temperature Limit Monitoring",
   "zh": "结温限值监测",
   "level": "l3"
  },
  "CAP_87a2f484": {
   "en": "Operating Condition Signal Acquisition",
   "zh": "运行工况信号采集",
   "level": "l3"
  },
  "CAP_51e26ab0": {
   "en": "Online TSEP Junction Temperature Estimation",
   "zh": "在线TSEP结温估计",
   "level": "l2"
  },
  "CAP_45d88062": {
   "en": "TSEP Parameter Selection",
   "zh": "TSEP参数选型",
   "level": "l3"
  },
  "CAP_d07005b2": {
   "en": "TSEP Calibration Curve Building",
   "zh": "TSEP标定曲线建立",
   "level": "l3"
  },
  "CAP_08a3d1e5": {
   "en": "Low-Current VCE(sat) Sensing",
   "zh": "低电流VCE(sat)采样",
   "level": "l3"
  },
  "CAP_d6a37f33": {
   "en": "Gate Threshold Voltage Sensing",
   "zh": "栅阈值电压Vth采样",
   "level": "l3"
  },
  "CAP_448e6b18": {
   "en": "Peak Gate Current Sensing",
   "zh": "峰值栅极电流采样",
   "level": "l3"
  },
  "CAP_623f512d": {
   "en": "On-State Vds(on) Sensing",
   "zh": "导通态Vds(on)采样",
   "level": "l3"
  },
  "CAP_9c6ec14f": {
   "en": "Miller Plateau Voltage Sensing",
   "zh": "密勒平台电压Vgp采样",
   "level": "l3"
  },
  "CAP_0241797e": {
   "en": "Turn-On Delay Sensing",
   "zh": "开通延迟时间tdon采样",
   "level": "l3"
  },
  "CAP_ec982e52": {
   "en": "Multi-TSEP Fusion with Kalman Filter",
   "zh": "多TSEP卡尔曼融合",
   "level": "l3"
  },
  "CAP_2becd2e5": {
   "en": "Aging/Parameter Drift Compensation",
   "zh": "老化/参数漂移补偿",
   "level": "l3"
  },
  "CAP_501b115c": {
   "en": "TSEP Calibration Curve Inversion",
   "zh": "TSEP标定曲线反演",
   "level": "l3"
  },
  "CAP_a2436f12": {
   "en": "Kalman Observer Junction Temperature Estimation",
   "zh": "卡尔曼观测器结温估计",
   "level": "l2"
  },
  "CAP_19e6e031": {
   "en": "RC Thermal Model State-Space Formulation",
   "zh": "RC热模型状态空间建模",
   "level": "l3"
  },
  "CAP_12aa2a49": {
   "en": "Hysteresis Thermal State Classifier",
   "zh": "带迟滞热状态分类",
   "level": "l3"
  },
  "CAP_6c60ff7a": {
   "en": "Temperature Derate Continuous",
   "zh": "温度连续降额",
   "level": "l3"
  },
  "CAP_ec5b136f": {
   "en": "K3s Single Binary Install",
   "zh": "K3s 单二进制安装",
   "level": "l3"
  },
  "CAP_dd08b188": {
   "en": "K3s Batteries Included Bootstrap",
   "zh": "K3s 内置组件引导",
   "level": "l3"
  },
  "CAP_6d478367": {
   "en": "K3s Edge Resource Profiling",
   "zh": "K3s 边缘资源画像调优",
   "level": "l3"
  },
  "CAP_6d7aeb8f": {
   "en": "K3s ARM Edge Deploy",
   "zh": "K3s ARM 边缘部署",
   "level": "l3"
  },
  "CAP_b567ec10": {
   "en": "K3s Edge Network Bootstrap",
   "zh": "K3s 边缘网络引导",
   "level": "l2"
  },
  "CAP_249c0bd5": {
   "en": "K3s HA Embedded Etcd Init",
   "zh": "K3s 高可用嵌入式 etcd 初始化",
   "level": "l3"
  },
  "CAP_deacbe45": {
   "en": "K3s Server Join HA",
   "zh": "K3s 高可用 server 加入",
   "level": "l3"
  },
  "CAP_515aeb31": {
   "en": "K3s Fixed Registration Address",
   "zh": "K3s 固定注册地址",
   "level": "l3"
  },
  "CAP_f9d49a0d": {
   "en": "K3s Etcd Snapshot Backup",
   "zh": "K3s etcd 快照备份",
   "level": "l3"
  },
  "CAP_f196497d": {
   "en": "K3s Join Token Security",
   "zh": "K3s 加入 token 安全",
   "level": "l3"
  },
  "CAP_ed65bdb7": {
   "en": "K3s Agent Join HA",
   "zh": "K3s 高可用 agent 加入",
   "level": "l3"
  },
  "CAP_ba1752b6": {
   "en": "K3s Airgap Image Preload",
   "zh": "K3s 气隙镜像预载",
   "level": "l3"
  },
  "CAP_cbcc3a7c": {
   "en": "K3s Offline Install Skip Download",
   "zh": "K3s 离线安装跳过下载",
   "level": "l3"
  },
  "CAP_27758430": {
   "en": "K3s Dummy Default Route",
   "zh": "K3s 虚拟默认路由",
   "level": "l3"
  },
  "CAP_a69d7a4f": {
   "en": "K3s Embedded Registry Mirror",
   "zh": "K3s 嵌入式镜像镜像",
   "level": "l3"
  },
  "CAP_ba5e485f": {
   "en": "K3s Estargz Lazy Pull",
   "zh": "K3s eStargz 懒拉取",
   "level": "l3"
  },
  "CAP_818189dc": {
   "en": "GPU Device Registration and Advertisement",
   "zh": "GPU设备注册与广告",
   "level": "l3"
  },
  "CAP_6161b6ec": {
   "en": "GPU Attribute Node Labeling",
   "zh": "GPU属性节点标签",
   "level": "l3"
  },
  "CAP_b9c48531": {
   "en": "Topology Alignment Admission",
   "zh": "拓扑对齐准入",
   "level": "l3"
  },
  "CAP_180c4e15": {
   "en": "MIG Hardware Partition Resource Advertisement",
   "zh": "MIG硬件分区资源广告",
   "level": "l2"
  },
  "CAP_4be9d70b": {
   "en": "NUMA NVLink Domain Node Selection",
   "zh": "NUMA/NVLink域节点选择",
   "level": "l2"
  },
  "CAP_c8a54d0c": {
   "en": "GPU Sharing Mechanism Selection",
   "zh": "GPU 共享机制选型",
   "level": "l2"
  },
  "CAP_374230a5": {
   "en": "MIG Capability Detection",
   "zh": "MIG 能力检测",
   "level": "l3"
  },
  "CAP_eeab0eda": {
   "en": "GPU Device Plugin and Scheduler Deployment",
   "zh": "GPU 设备插件与调度器部署",
   "level": "l2"
  },
  "CAP_0cec7d8b": {
   "en": "GPU Device Plugin Deployment",
   "zh": "GPU 设备插件部署",
   "level": "l3"
  },
  "CAP_1ad9b7d2": {
   "en": "GPU Scheduler Extender Configuration",
   "zh": "GPU 调度器扩展配置",
   "level": "l3"
  },
  "CAP_346ddbd4": {
   "en": "GPU Node Labeling",
   "zh": "GPU 节点打标",
   "level": "l3"
  },
  "CAP_28d220bb": {
   "en": "Fractional GPU Pod Submission and Binding",
   "zh": "分数 GPU Pod 提交与绑定",
   "level": "l2"
  },
  "CAP_846c5dd9": {
   "en": "Fractional GPU Resource Request",
   "zh": "分数 GPU 资源请求",
   "level": "l3"
  },
  "CAP_c8607843": {
   "en": "GPU Device Binding",
   "zh": "GPU 设备绑定",
   "level": "l3"
  },
  "CAP_c057ec4b": {
   "en": "GPU Monitoring and Observability",
   "zh": "GPU 监控与可观测性",
   "level": "l3"
  },
  "CAP_127d2725": {
   "en": "GPU Device Access",
   "zh": "GPU 设备访问",
   "level": "l2"
  },
  "CAP_8876175c": {
   "en": "NVIDIA Device Plugin Resource Registration",
   "zh": "NVIDIA Device Plugin 资源注册",
   "level": "l3"
  },
  "CAP_7bf5e3d7": {
   "en": "CDI Device Specification Generation and Injection",
   "zh": "CDI 设备规范生成与注入",
   "level": "l3"
  },
  "CAP_5287a2c2": {
   "en": "GPU Time-Slicing Sharing",
   "zh": "GPU 时间切片共享",
   "level": "l3"
  },
  "CAP_7032f564": {
   "en": "Char Device Access",
   "zh": "字符设备访问",
   "level": "l2"
  },
  "CAP_269a7d3f": {
   "en": "Udev Instance-Based Device Advertising",
   "zh": "Udev 实例化设备广告",
   "level": "l3"
  },
  "CAP_d24fc6a3": {
   "en": "Remote USB-IP Device Attach",
   "zh": "远程 USB/IP 设备挂载",
   "level": "l3"
  },
  "CAP_18e8f51b": {
   "en": "Device-Affinity Node Scheduling",
   "zh": "硬件亲和设备调度",
   "level": "l3"
  },
  "CAP_52c8b588": {
   "en": "Broker Pod Device Service Exposure",
   "zh": "Broker 设备服务暴露",
   "level": "l3"
  },
  "CAP_3b52b924": {
   "en": "Serial Network Gateway Bridging",
   "zh": "串口网络网关桥接",
   "level": "l3"
  },
  "CAP_3a51119a": {
   "en": "Federation Control Plane",
   "zh": "联邦控制面资源分发与策略治理",
   "level": "l2"
  },
  "CAP_99d7199e": {
   "en": "Multi-cluster Cluster Registration",
   "zh": "多集群集群注册",
   "level": "l3"
  },
  "CAP_f0c3354b": {
   "en": "Federated Resource Template Declaration",
   "zh": "联邦资源模板声明",
   "level": "l3"
  },
  "CAP_bf4be740": {
   "en": "Multi-cluster Propagation Policy Placement",
   "zh": "多集群分发放置策略",
   "level": "l3"
  },
  "CAP_abee6124": {
   "en": "Cluster-specific Override Policy Configuration",
   "zh": "集群差异化覆盖配置",
   "level": "l3"
  },
  "CAP_58fb68d3": {
   "en": "Cross-cluster Resource Binding Execution",
   "zh": "跨集群资源绑定下发",
   "level": "l3"
  },
  "CAP_be75b7d0": {
   "en": "Multi-cluster Failover Rescheduling",
   "zh": "多集群故障转移重调度",
   "level": "l3"
  },
  "CAP_7e62d5b7": {
   "en": "Resource Interpreter & Status Aggregation",
   "zh": "资源解释与跨集群状态聚合",
   "level": "l3"
  },
  "CAP_e88fc235": {
   "en": "Multi-cluster Global Resource View",
   "zh": "跨集群全局资源视图",
   "level": "l3"
  },
  "CAP_5bfe16cc": {
   "en": "Federated Resource Quota & Cluster Governance",
   "zh": "联邦资源配额与集群治理",
   "level": "l3"
  },
  "CAP_edb853b4": {
   "en": "OCM ManifestWork Execution",
   "zh": "OCM ManifestWork 跨集群下发执行",
   "level": "l3"
  },
  "CAP_a14c0e3c": {
   "en": "OCM Governance Policy Addon",
   "zh": "OCM 治理策略插件",
   "level": "l3"
  },
  "CAP_afed378b": {
   "en": "Multi-cluster Scheduling Decision",
   "zh": "多集群放置决策",
   "level": "l3"
  },
  "CAP_222fe06f": {
   "en": "Cross-cluster Network Interconnection",
   "zh": "跨集群网络互联",
   "level": "l2"
  },
  "CAP_ee411738": {
   "en": "Cross-cluster Tunnel Establishment",
   "zh": "跨集群隧道建立",
   "level": "l3"
  },
  "CAP_bbb83a43": {
   "en": "Overlapping CIDR Double-NAT Interconnection",
   "zh": "重叠 CIDR 双 NAT 互联",
   "level": "l3"
  },
  "CAP_c6fae112": {
   "en": "Service Mesh East-West Gateway Interconnect",
   "zh": "服务网格东西向网关互联",
   "level": "l3"
  },
  "CAP_171d5b0a": {
   "en": "Cross-cluster Network Policy Enforcement",
   "zh": "跨集群网络策略控制",
   "level": "l3"
  },
  "CAP_bdfbf410": {
   "en": "Global Service Affinity and Cross-cluster Failover",
   "zh": "全局服务亲和与跨集群故障转移",
   "level": "l3"
  },
  "CAP_5243130b": {
   "en": "Transport-layer Transparent Encryption",
   "zh": "传输层透明加密",
   "level": "l3"
  },
  "CAP_ea9ab49d": {
   "en": "Weighted Replica Scheduling",
   "zh": "加权副本调度",
   "level": "l3"
  },
  "CAP_4b179464": {
   "en": "Topology-aware Placement",
   "zh": "拓扑感知放置",
   "level": "l3"
  },
  "CAP_4ee8c422": {
   "en": "Queue-based Multi-cluster Dispatch",
   "zh": "基于队列的多集群分发",
   "level": "l3"
  },
  "CAP_ceaf65d7": {
   "en": "Borg/Omega Scheduling Theory",
   "zh": "Borg/Omega 调度理论溯源",
   "level": "l3"
  },
  "CAP_8f99d6f3": {
   "en": "Compute Resource Quota Definition",
   "zh": "计算资源配额定义",
   "level": "l3"
  },
  "CAP_dddf5066": {
   "en": "Quota Admission CPU Memory",
   "zh": "配额准入CPU内存",
   "level": "l3"
  },
  "CAP_ce132d19": {
   "en": "Extended Resource GPU Quota",
   "zh": "扩展资源GPU配额",
   "level": "l3"
  },
  "CAP_942996c5": {
   "en": "Huge Pages Quota",
   "zh": "大页配额",
   "level": "l3"
  },
  "CAP_6d312b0a": {
   "en": "DRA Standard Resource Quota",
   "zh": "DRA标准资源配额",
   "level": "l3"
  },
  "CAP_4bde73ab": {
   "en": "In Place Resize Quota Guard",
   "zh": "原地扩容配额守卫",
   "level": "l3"
  },
  "CAP_c750ac9c": {
   "en": "Object Count Quota Enforcement",
   "zh": "对象计数配额执行",
   "level": "l2"
  },
  "CAP_e3a15d2c": {
   "en": "Pod Count Quota",
   "zh": "Pod数量配额",
   "level": "l3"
  },
  "CAP_80d3d04c": {
   "en": "Service Count Quota LoadBalancer NodePort",
   "zh": "服务数量配额负载均衡节点端口",
   "level": "l3"
  },
  "CAP_a9d29229": {
   "en": "Secret Quota Guard",
   "zh": "Secret配额守卫",
   "level": "l3"
  },
  "CAP_01486abb": {
   "en": "CronJob Jobs Quota Guard",
   "zh": "CronJob任务配额守卫",
   "level": "l3"
  },
  "CAP_82d7634c": {
   "en": "Storage Object Count Quota",
   "zh": "存储对象计数配额",
   "level": "l3"
  },
  "CAP_40df2d79": {
   "en": "Quota Scope Definition",
   "zh": "配额范围定义",
   "level": "l1"
  },
  "CAP_b1986d0b": {
   "en": "Scope Selector Match",
   "zh": "范围选择器匹配",
   "level": "l3"
  },
  "CAP_4080803a": {
   "en": "Priority Class Quota",
   "zh": "优先级类配额",
   "level": "l3"
  },
  "CAP_785b1ff6": {
   "en": "Priority Class Covering Quota",
   "zh": "优先级类覆盖配额",
   "level": "l3"
  },
  "CAP_372e628c": {
   "en": "Cross Namespace Pod Affinity Scope",
   "zh": "跨命名空间Pod亲和性范围",
   "level": "l3"
  },
  "CAP_fc3c9ca5": {
   "en": "Volume Attributes Class Scope",
   "zh": "卷属性类范围",
   "level": "l3"
  },
  "CAP_ba3e5ec1": {
   "en": "K8s Robot Sim2Real GitOps Deployment",
   "zh": "云原生机器人仿真-现实闭环部署",
   "level": "l2"
  },
  "CAP_8c3018bf": {
   "en": "Edge-Autonomous Robot Cluster Scheduling",
   "zh": "边缘自治机器人集群调度",
   "level": "l2"
  },
  "CAP_8c9cfb4e": {
   "en": "Container Image Signing, Transparency Log and Registry Gate",
   "zh": "容器镜像签名、透明日志与注册表门禁",
   "level": "l3"
  },
  "CAP_35e193c9": {
   "en": "Simulation Digital-Twin CI Gate",
   "zh": "仿真数字孪生CI验证门禁",
   "level": "l3"
  },
  "CAP_0f298155": {
   "en": "Scheduler Extender Deployment",
   "zh": "调度器扩展部署",
   "level": "l3"
  },
  "CAP_9adf817d": {
   "en": "K8s Object Resource State Monitoring",
   "zh": "K8s 对象资源状态监控",
   "level": "l3"
  },
  "CAP_44ea8a73": {
   "en": "Edge Node Onboarding",
   "zh": "边缘节点注册入网",
   "level": "l3"
  },
  "CAP_e16d7451": {
   "en": "WebAssembly Edge Runtime Scheduling",
   "zh": "WebAssembly边缘运行时调度",
   "level": "l3"
  },
  "CAP_c16f8414": {
   "en": "Region-Aware Workload Distribution",
   "zh": "地域感知负载分发",
   "level": "l3"
  },
  "CAP_8e5c9dbb": {
   "en": "Small VLA Backbone",
   "zh": "小VLA骨干",
   "level": "l3"
  },
  "CAP_7ad35df2": {
   "en": "HCL Connect Sidecar Service Declaration",
   "zh": "HCL Connect Sidecar 服务声明",
   "level": "l3"
  },
  "CAP_e36131bf": {
   "en": "IMU High-Frequency Nominal Propagation",
   "zh": "IMU高频名义状态积分",
   "level": "l3"
  },
  "CAP_680ce009": {
   "en": "ESKF Error-State Measurement Update",
   "zh": "ESKF误差状态量测更新",
   "level": "l3"
  },
  "CAP_8c09ee83": {
   "en": "Kalman Filter Linear Estimate",
   "zh": "线性卡尔曼滤波估计",
   "level": "l3"
  },
  "CAP_b4160c94": {
   "en": "Extended Kalman Filter Estimate",
   "zh": "扩展卡尔曼滤波估计",
   "level": "l3"
  },
  "CAP_7e7e11c3": {
   "en": "Unscented Kalman Filter Estimate",
   "zh": "无迹卡尔曼滤波估计",
   "level": "l3"
  },
  "CAP_c4ba158b": {
   "en": "Kalman Smoother EM",
   "zh": "卡尔曼平滑与期望最大化",
   "level": "l3"
  },
  "CAP_16e2db4a": {
   "en": "Stone Soup Tracking Pipeline",
   "zh": "Stone Soup 跟踪管线",
   "level": "l3"
  },
  "CAP_7c0a28ed": {
   "en": "Visual Keyframe Mapping Pipeline",
   "zh": "视觉关键帧建图流水线",
   "level": "l2"
  },
  "CAP_960890d8": {
   "en": "Tracking State Assessment",
   "zh": "跟踪状态判定",
   "level": "l3"
  },
  "CAP_68b5a178": {
   "en": "ORB-SLAM3 Atlas Relocalization and Merging Pipeline",
   "zh": "基于关键帧的重定位与地图合并",
   "level": "l2"
  },
  "CAP_18ac7b61": {
   "en": "LiDAR-Inertial Keyframe Factor-Graph Mapping Pipeline",
   "zh": "激光-惯性关键帧因子图建图流水线",
   "level": "l2"
  },
  "CAP_d107ed2c": {
   "en": "Keyframe Sub-Keyframe Voxel Map Construction",
   "zh": "局部子关键帧体素地图构建",
   "level": "l3"
  },
  "CAP_ae4db635": {
   "en": "Keyframe-Driven Neural Implicit Mapping Pipeline",
   "zh": "关键帧驱动神经隐式建图流水线",
   "level": "l2"
  },
  "CAP_67360c4b": {
   "en": "小词表关键词检测流水线",
   "zh": "小词表关键词检测流水线",
   "level": "l2"
  },
  "CAP_3abd08d6": {
   "en": "关键词置信度决策与去抖动",
   "zh": "关键词置信度决策与去抖动",
   "level": "l3"
  },
  "CAP_934dd177": {
   "en": "KWS 机器人控制信号派发",
   "zh": "KWS 机器人控制信号派发",
   "level": "l3"
  },
  "CAP_8a1eab78": {
   "en": "Wake-Word VAD Prefilter",
   "zh": "唤醒词 VAD 预门控",
   "level": "l3"
  },
  "CAP_29d872f5": {
   "en": "Wake-Word Embedding Classifier",
   "zh": "唤醒词 Embedding 分类推理",
   "level": "l3"
  },
  "CAP_579a0f7f": {
   "en": "MCU int8 KWS Feature Extraction",
   "zh": "MCU int8 KWS 特征提取",
   "level": "l3"
  },
  "CAP_e08c63e3": {
   "en": "MCU Quantized KWS Inference",
   "zh": "MCU 量化 KWS 推理",
   "level": "l3"
  },
  "CAP_0dd0fe1d": {
   "en": "Vault Key Generation and Transit Service",
   "zh": "Vault 密钥生成与加密即服务",
   "level": "l2"
  },
  "CAP_042a9859": {
   "en": "Vault Transit Key Generation",
   "zh": "Vault Transit 密钥生成",
   "level": "l3"
  },
  "CAP_ff2aa421": {
   "en": "Vault KMSE Managed Key Distribution",
   "zh": "Vault KMSE 托管密钥分发",
   "level": "l3"
  },
  "CAP_c279f7b1": {
   "en": "Vault KV Encrypted Storage",
   "zh": "Vault KV 加密存储",
   "level": "l2"
  },
  "CAP_e0a3321f": {
   "en": "Vault Key Auto-Rotation",
   "zh": "Vault 密钥自动轮换",
   "level": "l2"
  },
  "CAP_ac0ea514": {
   "en": "Vault Transit Auto-Rotation",
   "zh": "Vault Transit 自动轮换",
   "level": "l3"
  },
  "CAP_71bcbf1b": {
   "en": "Vault PKI Certificate Lifecycle",
   "zh": "Vault PKI 证书生命周期",
   "level": "l2"
  },
  "CAP_123e64e3": {
   "en": "Vault Root and Intermediate CA Bootstrap",
   "zh": "Vault 根与中间 CA 引导",
   "level": "l3"
  },
  "CAP_9826eef7": {
   "en": "Vault PKI Role and Policy Configuration",
   "zh": "Vault PKI 角色与策略配置",
   "level": "l3"
  },
  "CAP_d6496ba4": {
   "en": "Vault PKI Certificate Issuance",
   "zh": "Vault PKI 证书签发",
   "level": "l3"
  },
  "CAP_aef1724c": {
   "en": "Vault PKI Certificate Revocation",
   "zh": "Vault PKI 证书吊销",
   "level": "l3"
  },
  "CAP_b068b69a": {
   "en": "Vault ACL Policy Control",
   "zh": "Vault ACL 策略管控",
   "level": "l2"
  },
  "CAP_3b0239b1": {
   "en": "Vault ACL Policy Enforcement",
   "zh": "Vault ACL 策略执行",
   "level": "l3"
  },
  "CAP_37942879": {
   "en": "Vault HSM Seal Wrap",
   "zh": "Vault HSM 根密钥密封",
   "level": "l2"
  },
  "CAP_0434f726": {
   "en": "Vault HSM Seal Wrap Operation",
   "zh": "Vault HSM 密封包装操作",
   "level": "l3"
  },
  "CAP_ee165615": {
   "en": "Hardware-Bound Key Protection",
   "zh": "硬件固化密钥保护",
   "level": "l2"
  },
  "CAP_b9c24f08": {
   "en": "Hardware-Bound Non-Exportable Key Generation",
   "zh": "硬件内不可导出密钥生成",
   "level": "l3"
  },
  "CAP_ebea8727": {
   "en": "PKCS#11 Hardware Token Key Reference",
   "zh": "PKCS#11 硬件令牌密钥引用",
   "level": "l3"
  },
  "CAP_23753c66": {
   "en": "TPM PCR Policy Binding and Sealing",
   "zh": "TPM PCR 策略绑定封口",
   "level": "l3"
  },
  "CAP_53a4f4eb": {
   "en": "Hardware-Enforced Key Least Privilege",
   "zh": "硬件强制密钥最小权限",
   "level": "l3"
  },
  "CAP_d5d76369": {
   "en": "HSM Key Rotation and Revocation",
   "zh": "HSM 密钥轮换与撤销",
   "level": "l3"
  },
  "CAP_d1d1422c": {
   "en": "Cloud KMS Data Key Envelope Encryption",
   "zh": "云 KMS 数据密钥信封加密",
   "level": "l2"
  },
  "CAP_c3d36483": {
   "en": "AWS KMS Data Key Generation",
   "zh": "AWS KMS 数据密钥生成",
   "level": "l3"
  },
  "CAP_f4ca9f05": {
   "en": "AWS Encryption SDK Keyring",
   "zh": "AWS 加密 SDK Keyring",
   "level": "l3"
  },
  "CAP_2f6d880f": {
   "en": "Cloud KMS Key Rotation and Revocation",
   "zh": "云 KMS 密钥轮换与撤销",
   "level": "l2"
  },
  "CAP_7ea6f879": {
   "en": "AWS KMS Key Rotation",
   "zh": "AWS KMS 密钥轮换",
   "level": "l3"
  },
  "CAP_8061b887": {
   "en": "AWS KMS Key Disable and Delete",
   "zh": "AWS KMS 密钥禁用与删除",
   "level": "l3"
  },
  "CAP_adc888b7": {
   "en": "Config Secret Envelope Encryption",
   "zh": "配置密钥信封加密",
   "level": "l2"
  },
  "CAP_51a0db09": {
   "en": "SOPS Config Secret Envelope Encryption",
   "zh": "SOPS 配置密钥信封加密",
   "level": "l3"
  },
  "CAP_f0a2be08": {
   "en": "Semantic Parsing KGQA Pipeline Orchestration",
   "zh": "语义解析 KGQA 管线编排",
   "level": "l2"
  },
  "CAP_442df61f": {
   "en": "Natural Language Question Encoding",
   "zh": "自然语言问题编码",
   "level": "l3"
  },
  "CAP_924b4695": {
   "en": "Entity Linking and Disambiguation",
   "zh": "实体链接与消歧",
   "level": "l3"
  },
  "CAP_9efed888": {
   "en": "Logical Form Generation",
   "zh": "逻辑形式生成",
   "level": "l3"
  },
  "CAP_40e568e8": {
   "en": "SPARQL Norm Query",
   "zh": "SPARQL 规范化查询",
   "level": "l3"
  },
  "CAP_85e739a1": {
   "en": "Retrieval-Ranking KGQA Pipeline Orchestration",
   "zh": "检索-排序 KGQA 管线编排",
   "level": "l2"
  },
  "CAP_debf3174": {
   "en": "Iterative Subgraph Retrieval",
   "zh": "迭代式子图检索",
   "level": "l3"
  },
  "CAP_27c9e279": {
   "en": "Answer Entity Ranking",
   "zh": "答案实体排序 / 分类",
   "level": "l3"
  },
  "CAP_70c32de4": {
   "en": "KG Embedding Space Multi-hop Reasoning",
   "zh": "KG 嵌入空间多跳推理",
   "level": "l3"
  },
  "CAP_a3ba4793": {
   "en": "LLM⊗KG Tight-Coupling Reasoning Paradigm",
   "zh": "LLM 与 KG 紧耦合推理范式",
   "level": "l2"
  },
  "CAP_a1a0d215": {
   "en": "KG Beam Search Path Exploration & Pruning",
   "zh": "KG 束搜索路径探索与剪枝",
   "level": "l3"
  },
  "CAP_fa02e416": {
   "en": "Relation Path Planning",
   "zh": "关系路径规划",
   "level": "l3"
  },
  "CAP_3f67807c": {
   "en": "Planning-Retrieval-Reasoning Framework",
   "zh": "规划-检索-推理框架",
   "level": "l3"
  },
  "CAP_2e6db0f6": {
   "en": "KG Interface-based Extraction",
   "zh": "KG 接口化抽取/调用",
   "level": "l3"
  },
  "CAP_2b996d25": {
   "en": "Faithful & Interpretable Reasoning",
   "zh": "忠实可解释推理",
   "level": "l3"
  },
  "CAP_0808d06b": {
   "en": "Structured Data Linearization",
   "zh": "结构化数据线性化",
   "level": "l3"
  },
  "CAP_305f831f": {
   "en": "Kinodynamic Trajectory Planning",
   "zh": "运动动力学轨迹规划",
   "level": "l3"
  },
  "CAP_639406ce": {
   "en": "Kinodynamic A Star Bspline Optimization Pipeline",
   "zh": "Kinodynamic A* + B 样条梯度优化流水线",
   "level": "l2"
  },
  "CAP_d4900b61": {
   "en": "Kinodynamic A* Front-end Search",
   "zh": "Kinodynamic A* 前端搜索",
   "level": "l3"
  },
  "CAP_c65d3cf7": {
   "en": "Iterative Time Adjustment",
   "zh": "迭代时间调整",
   "level": "l3"
  },
  "CAP_db37b280": {
   "en": "ESDF Mapping For Planning",
   "zh": "规划用 ESDF 建图",
   "level": "l3"
  },
  "CAP_10119df0": {
   "en": "Motion Primitive Lattice Generation",
   "zh": "运动基元栅格生成",
   "level": "l3"
  },
  "CAP_67b272ea": {
   "en": "Sampling-based Kinodynamic Planning (SST)",
   "zh": "采样式运动动力学规划（SST）",
   "level": "l2"
  },
  "CAP_9fe49690": {
   "en": "Control Sampling For Kinodynamic",
   "zh": "运动动力学控制采样",
   "level": "l3"
  },
  "CAP_aeca33db": {
   "en": "Sparse Tree Maintenance",
   "zh": "稀疏树维护",
   "level": "l3"
  },
  "CAP_64efe070": {
   "en": "Kinodynamic Trajectory Extraction",
   "zh": "运动动力学轨迹提取",
   "level": "l3"
  },
  "CAP_47284b44": {
   "en": "Differential Flatness + MINCO Optimization",
   "zh": "微分平坦 + MINCO 稀疏优化",
   "level": "l2"
  },
  "CAP_a6219691": {
   "en": "Unconstrained Optimization Solver",
   "zh": "无约束优化求解",
   "level": "l3"
  },
  "CAP_3c7a64db": {
   "en": "Spatiotemporal Deformation",
   "zh": "时空联合变形",
   "level": "l3"
  },
  "CAP_b6066313": {
   "en": "Minco Trajectory Warm Start",
   "zh": "MINCO初始轨迹生成",
   "level": "l3"
  },
  "CAP_1e56a520": {
   "en": "Safe Flight Corridor Generation",
   "zh": "安全飞行走廊生成",
   "level": "l3"
  },
  "CAP_16b8fe6b": {
   "en": "Knife Pose Estimation from RGB-D",
   "zh": "基于 RGB-D 的刀具位姿估计",
   "level": "l3"
  },
  "CAP_1981fa1d": {
   "en": "Antipodal Handle Grasp Planning",
   "zh": "刀柄对映抓取规划",
   "level": "l3"
  },
  "CAP_8b666433": {
   "en": "Board Pivot Leverage",
   "zh": "板面枢轴翻起",
   "level": "l3"
  },
  "CAP_695da269": {
   "en": "Quasi-Static Finger Gait to Power Grasp",
   "zh": "五指准静态步态收敛至强力抓取",
   "level": "l3"
  },
  "CAP_9f149c66": {
   "en": "Grasp Pose for Cutting Output",
   "zh": "可切割握持位姿输出",
   "level": "l3"
  },
  "CAP_47d6081e": {
   "en": "Tool-Tip Pivot Establishment",
   "zh": "工具尖端支点建立",
   "level": "l3"
  },
  "CAP_c9fe4046": {
   "en": "Finger Gait Stage Planning",
   "zh": "手指步态阶段规划",
   "level": "l3"
  },
  "CAP_6972ad06": {
   "en": "Hybrid Position/Impedance Control",
   "zh": "混合位置/阻抗控制",
   "level": "l3"
  },
  "CAP_d79672c2": {
   "en": "Contact Force Profile Alignment",
   "zh": "接触力剖面对齐",
   "level": "l3"
  },
  "CAP_edadf53c": {
   "en": "Stable Grasp Validation",
   "zh": "稳定握持校验",
   "level": "l3"
  },
  "CAP_6d9ae860": {
   "en": "Rope Topology State Extraction",
   "zh": "绳索拓扑状态提取",
   "level": "l3"
  },
  "CAP_4ea2771a": {
   "en": "Reidemeister Action Search",
   "zh": "Reidemeister 动作序列搜索",
   "level": "l3"
  },
  "CAP_af26e82c": {
   "en": "Topological Motion Primitive Grounding",
   "zh": "拓扑运动基元落地",
   "level": "l3"
  },
  "CAP_912b79e7": {
   "en": "Topological Action Conditioned Execution",
   "zh": "拓扑动作条件执行",
   "level": "l3"
  },
  "CAP_310c7b62": {
   "en": "Physical Knot Execution",
   "zh": "物理打结执行",
   "level": "l3"
  },
  "CAP_4c03141e": {
   "en": "Topological Transfer Verification",
   "zh": "拓扑转移验证",
   "level": "l3"
  },
  "CAP_29bb869d": {
   "en": "Knot Planning Replan",
   "zh": "打结规划闭环重规划",
   "level": "l3"
  },
  "CAP_a3e769fb": {
   "en": "Shoe Lacing Dexterous Manipulation",
   "zh": "系鞋带灵巧操作",
   "level": "l2"
  },
  "CAP_787308e3": {
   "en": "Shoelace Pickup and Regrasp",
   "zh": "鞋带抓取与重抓",
   "level": "l3"
  },
  "CAP_35d6e6df": {
   "en": "Eyelet Threading",
   "zh": "鞋带穿孔（穿鞋眼）",
   "level": "l3"
  },
  "CAP_a7e91373": {
   "en": "Lace Pull-through and Tightening",
   "zh": "鞋带拉穿与系紧",
   "level": "l3"
  },
  "CAP_228aec02": {
   "en": "GR-RL Multi-Stage Training Pipeline",
   "zh": "GR-RL 多阶段训练管线",
   "level": "l2"
  },
  "CAP_7bf603d4": {
   "en": "Offline RL Demonstration Progress Filtering",
   "zh": "基于离线 RL 的示范进度过滤",
   "level": "l3"
  },
  "CAP_87c39e86": {
   "en": "Morphological Symmetry Augmentation",
   "zh": "形态对称增强",
   "level": "l3"
  },
  "CAP_ffefa545": {
   "en": "Latent Noise-Predictor Online RL Alignment",
   "zh": "潜空间噪声预测器在线强化学习对齐",
   "level": "l3"
  },
  "CAP_597f85dd": {
   "en": "Open-Vocabulary Scene Graph Edge Construction",
   "zh": "开放词汇场景图边构建",
   "level": "l3"
  },
  "CAP_15f7d29a": {
   "en": "Open-Vocabulary Instance Segmentation and Feature Fusion",
   "zh": "开放词汇实例分割与特征融合",
   "level": "l3"
  },
  "CAP_2adf6504": {
   "en": "Scene Graph Relocalization",
   "zh": "场景图重定位",
   "level": "l3"
  },
  "CAP_781af371": {
   "en": "Scene Graph Query and LLM Planning",
   "zh": "场景图查询与 LLM 规划",
   "level": "l2"
  },
  "CAP_b0fa49df": {
   "en": "Spatio-Semantic Graph Query for Planning",
   "zh": "面向规划的空间语义图查询",
   "level": "l3"
  },
  "CAP_6a22891d": {
   "en": "Scene-Graph Grounded Action Execution",
   "zh": "场景图接地动作执行",
   "level": "l2"
  },
  "CAP_ff3c69a5": {
   "en": "Scene-Graph Grounded Action Generation",
   "zh": "场景图接地动作生成",
   "level": "l3"
  },
  "CAP_5e5f5383": {
   "en": "Commonsense Query Encoding",
   "zh": "常识查询编码",
   "level": "l3"
  },
  "CAP_1d9ca6fe": {
   "en": "External Commonsense Retrieval",
   "zh": "外部常识检索",
   "level": "l2"
  },
  "CAP_7e134613": {
   "en": "Retrieval-Augmented Commonsense Grounding",
   "zh": "检索增强的常识接地",
   "level": "l3"
  },
  "CAP_0335900d": {
   "en": "LLM Commonsense Reasoning and Valuation",
   "zh": "LLM 常识推理与价值评估",
   "level": "l2"
  },
  "CAP_0ae2b5db": {
   "en": "Confidence-Calibrated LLM Planner",
   "zh": "置信度校准的 LLM 规划器",
   "level": "l3"
  },
  "CAP_ab98c248": {
   "en": "Confidence-Calibrated Decision",
   "zh": "置信度校准决策",
   "level": "l2"
  },
  "CAP_d76e229a": {
   "en": "Keypoint-Conditioned Skill Execution",
   "zh": "关键点条件技能执行",
   "level": "l3"
  },
  "CAP_e3c829e1": {
   "en": "Relational Constraint Generation",
   "zh": "关系约束生成",
   "level": "l2"
  },
  "CAP_ef99acd3": {
   "en": "Constrained SE(3) Optimization",
   "zh": "约束 SE(3) 优化",
   "level": "l2"
  },
  "CAP_5a0ed220": {
   "en": "Keypoint-Conditioned Execution",
   "zh": "关键点条件执行",
   "level": "l2"
  },
  "CAP_9bd365fa": {
   "en": "Category-Level Keypoint Affordance Manipulation",
   "zh": "类别级关键点示能操纵",
   "level": "l3"
  },
  "CAP_10b29812": {
   "en": "Closed-Loop Constraint Replanning",
   "zh": "闭环约束重规划",
   "level": "l3"
  },
  "CAP_2c2a6cbb": {
   "en": "Perceptual OOD Boundary Detection",
   "zh": "感知分布外边界检测",
   "level": "l2"
  },
  "CAP_5e973d60": {
   "en": "Temperature-Scaled Softmax Scoring",
   "zh": "温度缩放软最大评分",
   "level": "l3"
  },
  "CAP_cf8a6b03": {
   "en": "Input Perturbation Preprocessing",
   "zh": "输入扰动预处理",
   "level": "l3"
  },
  "CAP_ddf54fb9": {
   "en": "Energy-Based OOD Scoring",
   "zh": "能量基分布外评分",
   "level": "l3"
  },
  "CAP_f6e6a020": {
   "en": "Pixel-Level Dense OOD Segmentation",
   "zh": "像素级密集分布外分割",
   "level": "l3"
  },
  "CAP_e73ac8df": {
   "en": "Closed-Set Perception Inference",
   "zh": "闭集感知推理",
   "level": "l3"
  },
  "CAP_54279bb4": {
   "en": "In-Distribution Pass-Through",
   "zh": "分布内放行",
   "level": "l3"
  },
  "CAP_a76a2db9": {
   "en": "Online OOD Threshold Calibration",
   "zh": "在线 OOD 阈值校准",
   "level": "l3"
  },
  "CAP_9c0a2c19": {
   "en": "LLM Planner Confidence Calibration and Task-Level Rejection",
   "zh": "LLM 规划器置信度校准与任务级拒识",
   "level": "l2"
  },
  "CAP_94ff1ca2": {
   "en": "Semantic Equivalence Clustering",
   "zh": "语义等价聚类",
   "level": "l3"
  },
  "CAP_a8b53a6e": {
   "en": "LLM Plan Candidate Sampling",
   "zh": "LLM 规划候选采样",
   "level": "l3"
  },
  "CAP_c412085d": {
   "en": "In-Prediction Self-Execute",
   "zh": "预测集内自执行",
   "level": "l3"
  },
  "CAP_195f332f": {
   "en": "Online Coverage Calibration",
   "zh": "在线覆盖率校准",
   "level": "l3"
  },
  "CAP_f0e9e96d": {
   "en": "Metacognitive Lifelong Boundary Update",
   "zh": "元认知终身学习边界更新",
   "level": "l2"
  },
  "CAP_0cad1076": {
   "en": "Failure Detection and Policy Switch",
   "zh": "失败检测与策略切换",
   "level": "l3"
  },
  "CAP_1051dc62": {
   "en": "Predictive-Memory Boundary Monitoring",
   "zh": "预测记忆边界监测",
   "level": "l3"
  },
  "CAP_b8314292": {
   "en": "Boundary Threshold Decision",
   "zh": "边界阈值判定",
   "level": "l3"
  },
  "CAP_fb11a88a": {
   "en": "In-Boundary Proceed",
   "zh": "边界内放行",
   "level": "l3"
  },
  "CAP_cd0013ba": {
   "en": "TransE Translational Distance Embedding Training",
   "zh": "TransE平移距离嵌入训练",
   "level": "l3"
  },
  "CAP_fcfc8ad8": {
   "en": "DistMult ComplEx Bilinear Scoring",
   "zh": "DistMult/ComplEx双线性打分",
   "level": "l3"
  },
  "CAP_5afb6054": {
   "en": "Link Prediction Ranking Evaluation",
   "zh": "链接预测排序评估",
   "level": "l3"
  },
  "CAP_c8861946": {
   "en": "Knowledge Graph Embedding Vector Similarity Search",
   "zh": "知识图谱嵌入向量相似度检索",
   "level": "l3"
  },
  "CAP_6a81146a": {
   "en": "Knowledge Graph Embedding Negative Sampling",
   "zh": "知识图谱嵌入负采样",
   "level": "l3"
  },
  "CAP_22da4dc5": {
   "en": "Complex-space Relation Pattern Knowledge Graph Embedding",
   "zh": "复空间关系模式知识图谱嵌入",
   "level": "l2"
  },
  "CAP_6865f7e6": {
   "en": "RotatE Complex Rotation Scoring",
   "zh": "RotatE复空间旋转打分",
   "level": "l3"
  },
  "CAP_f1246001": {
   "en": "QuatE Quaternion Rotation Scoring",
   "zh": "QuatE四元数旋转打分",
   "level": "l3"
  },
  "CAP_a548533b": {
   "en": "TuckER Tensor Decomposition Scoring",
   "zh": "TuckER张量分解打分",
   "level": "l3"
  },
  "CAP_fc12b394": {
   "en": "Relation Pattern Expressiveness Verification",
   "zh": "关系模式表达力验证",
   "level": "l3"
  },
  "CAP_4039af57": {
   "en": "Scalable KGE Training",
   "zh": "大规模知识图谱嵌入训练",
   "level": "l2"
  },
  "CAP_c4eafc91": {
   "en": "KGE Distributed Training",
   "zh": "大规模KGE分布式训练",
   "level": "l3"
  },
  "CAP_25e288ba": {
   "en": "PBG Distributed Training",
   "zh": "多关系图嵌入分布式训练",
   "level": "l3"
  },
  "CAP_9e926260": {
   "en": "Embedding Similarity Inference",
   "zh": "嵌入相似度与链接预测推理",
   "level": "l3"
  },
  "CAP_ee0b102f": {
   "en": "KGE Scale Benchmark",
   "zh": "超大规模KG嵌入基准评测",
   "level": "l3"
  },
  "CAP_78eecc20": {
   "en": "Sim-to-Real Visual Robustness Transfer",
   "zh": "仿真到现实视觉鲁棒迁移",
   "level": "l2"
  },
  "CAP_bd71bd0e": {
   "en": "Pixel-Level Sim-Real Image Translation",
   "zh": "像素级仿真-现实图像翻译",
   "level": "l3"
  },
  "CAP_9faa6236": {
   "en": "Cross-Task Representation Pretraining",
   "zh": "跨任务表征预训练",
   "level": "l2"
  },
  "CAP_98a676d9": {
   "en": "Frozen Encoder Policy Head Training",
   "zh": "冻结编码器策略头训练",
   "level": "l3"
  },
  "CAP_595520d8": {
   "en": "Language-Driven Representation Learning",
   "zh": "语言驱动表征学习",
   "level": "l3"
  },
  "CAP_1a9e9371": {
   "en": "Morphology-Agnostic Policy Learning",
   "zh": "形态无关策略学习",
   "level": "l3"
  },
  "CAP_c082d223": {
   "en": "Real-time Whole-body Teleoperation",
   "zh": "实时全身遥操作",
   "level": "l3"
  },
  "CAP_06a5583d": {
   "en": "Ladder Geometric Localization",
   "zh": "梯子几何标定",
   "level": "l3"
  },
  "CAP_1598d9af": {
   "en": "Joint PD Tracking",
   "zh": "关节 PD 跟踪控制",
   "level": "l3"
  },
  "CAP_6a4bccfa": {
   "en": "Ladder Rung Detection",
   "zh": "梯子横档检测",
   "level": "l3"
  },
  "CAP_950a34d9": {
   "en": "Contact-Timing Optimization",
   "zh": "接触时序优化",
   "level": "l3"
  },
  "CAP_87eb6a1d": {
   "en": "Hooked End-Effector Grasp Control",
   "zh": "钩状末端执行器抓握控制",
   "level": "l3"
  },
  "CAP_8ec42175": {
   "en": "Blind Locomotion Policy Inference",
   "zh": "盲走运动策略推理",
   "level": "l3"
  },
  "CAP_0d576b76": {
   "en": "On-Ladder Manipulation Policy",
   "zh": "梯上操作策略",
   "level": "l3"
  },
  "CAP_8517fabd": {
   "en": "Multi-Contact Task Sequencing",
   "zh": "多接触任务序列化",
   "level": "l3"
  },
  "CAP_b675971e": {
   "en": "Grasp and Compensation Task Insertion",
   "zh": "抓取与补偿任务插入",
   "level": "l3"
  },
  "CAP_3ada404f": {
   "en": "Whole-Body MPC for Ladder",
   "zh": "梯子攀爬全身模型预测控制",
   "level": "l3"
  },
  "CAP_22a4f08e": {
   "en": "Quadruped Ladder Climbing RL",
   "zh": "四足梯子攀爬强化学习",
   "level": "l3"
  },
  "CAP_d989ea77": {
   "en": "High-Bandwidth Torque Control",
   "zh": "高带宽力矩控制",
   "level": "l3"
  },
  "CAP_f32127c4": {
   "en": "CMDP Lagrangian Primal-Dual Solver",
   "zh": "CMDP 拉格朗日原始-对偶求解器",
   "level": "l2"
  },
  "CAP_f42c9028": {
   "en": "CMDP Problem Formulation",
   "zh": "CMDP 问题建模",
   "level": "l3"
  },
  "CAP_48a0787d": {
   "en": "Sim-to-Real Safe Deployment",
   "zh": "Sim-to-Real 安全部署",
   "level": "l3"
  },
  "CAP_3b6780af": {
   "en": "Safety Constraint Type Gating",
   "zh": "安全约束类型判定",
   "level": "l3"
  },
  "CAP_43d2f754": {
   "en": "Constraint (Safety) Critic",
   "zh": "约束（安全）评论家",
   "level": "l3"
  },
  "CAP_14347dcd": {
   "en": "Lagrangian Multiplier Update (PID-Lagrangian)",
   "zh": "拉格朗日乘子更新（PID）",
   "level": "l3"
  },
  "CAP_9bbcb060": {
   "en": "Physical Constraint Hard Fallback",
   "zh": "物理约束硬兜底",
   "level": "l3"
  },
  "CAP_ca226f41": {
   "en": "Worst-Case Safety Critic (CVaR)",
   "zh": "最坏情形安全评论家（CVaR）",
   "level": "l3"
  },
  "CAP_aa70c8aa": {
   "en": "High-Parallel Legged RL Simulation",
   "zh": "足式RL高并行仿真训练",
   "level": "l3"
  },
  "CAP_6b316424": {
   "en": "Safety Layer Action Projection (QP)",
   "zh": "解析安全层动作投影（QP）",
   "level": "l3"
  },
  "CAP_3393a8e5": {
   "en": "Constrained Variational Policy Optimization (CVPO)",
   "zh": "约束变分策略优化（CVPO）",
   "level": "l3"
  },
  "CAP_ba1ef445": {
   "en": "Adaptive Force Limit (SHaRe-RL)",
   "zh": "自适应力限幅（SHaRe-RL）",
   "level": "l3"
  },
  "CAP_0e87e45f": {
   "en": "Adaptive Chance-Constraint Safeguard (ACS)",
   "zh": "分层自适应机会约束保障（ACS）",
   "level": "l3"
  },
  "CAP_7a55a604": {
   "en": "Exact Augmented Lagrangian PPO (PPO-EAL)",
   "zh": "精确增广拉格朗日（PPO-EAL）",
   "level": "l3"
  },
  "CAP_50fb59f9": {
   "en": "Force Signal Low-Pass Filtering & Constraint Tightening",
   "zh": "力信号低通滤波与安全边界收紧",
   "level": "l3"
  },
  "CAP_32436900": {
   "en": "P3O Penalized Safe Policy Optimization",
   "zh": "P3O 惩罚式安全策略优化",
   "level": "l3"
  },
  "CAP_13f606eb": {
   "en": "CVaR Risk-Sensitive Behavior Generation (QRDQN)",
   "zh": "CVaR 风险敏感行为生成（分布 RL）",
   "level": "l3"
  },
  "CAP_ba38ab69": {
   "en": "Set-Based Prediction Safety Layer",
   "zh": "基于集合预测的安全层",
   "level": "l3"
  },
  "CAP_b200b020": {
   "en": "Empirical CVaR Differentiable Planning",
   "zh": "经验 CVaR 尾部风险轨迹约束（可微规划）",
   "level": "l3"
  },
  "CAP_c735a814": {
   "en": "Distributionally Robust CVaR Planning (DR-CVaR)",
   "zh": "分布鲁棒安全运动规划（DR-CVaR）",
   "level": "l3"
  },
  "CAP_84f65667": {
   "en": "Reward Shaping & Online CVaR Quantile Regression",
   "zh": "奖励塑形与在线 CVaR 分位回归",
   "level": "l3"
  },
  "CAP_cd6c405d": {
   "en": "Pole Landmark Detection",
   "zh": "杆状路标检测",
   "level": "l3"
  },
  "CAP_2ded086f": {
   "en": "Range Image Pole Extraction",
   "zh": "距离图像杆状提取",
   "level": "l3"
  },
  "CAP_4a323a8d": {
   "en": "Pole Map Construction",
   "zh": "杆状路标地图构建",
   "level": "l3"
  },
  "CAP_10d48b46": {
   "en": "Particle Filter Landmark Localization",
   "zh": "粒子滤波路标定位",
   "level": "l3"
  },
  "CAP_28918a65": {
   "en": "Semantic Landmark Filtering",
   "zh": "语义路标滤波",
   "level": "l3"
  },
  "CAP_c2acdeb0": {
   "en": "Semantic HD Map Construction",
   "zh": "稀疏语义 HD 地图构建",
   "level": "l3"
  },
  "CAP_cc2e288d": {
   "en": "Lane Marking Landmark Extraction",
   "zh": "路面标线路标提取",
   "level": "l3"
  },
  "CAP_ac183b25": {
   "en": "Traffic Sign Landmark Extraction",
   "zh": "交通标志路标提取",
   "level": "l3"
  },
  "CAP_034445bd": {
   "en": "Bayesian HD Map Localization",
   "zh": "贝叶斯语义 HD 地图定位",
   "level": "l3"
  },
  "CAP_8207f002": {
   "en": "Crowdsourced Map Fusion",
   "zh": "众包地图融合",
   "level": "l3"
  },
  "CAP_f32ec956": {
   "en": "Segment Landmark Extraction",
   "zh": "Segment 路标提取",
   "level": "l3"
  },
  "CAP_57c7dd11": {
   "en": "Learned Landmark Descriptor",
   "zh": "数据驱动路标描述子",
   "level": "l3"
  },
  "CAP_fb5e42f0": {
   "en": "Landmark Loop Closure Detection",
   "zh": "基于路标的回环检测",
   "level": "l3"
  },
  "CAP_d7bb2d31": {
   "en": "Pose Graph Map Relaxation",
   "zh": "位姿图地图松弛",
   "level": "l3"
  },
  "CAP_1908e730": {
   "en": "Scene Text Region Detection",
   "zh": "场景文本区域检测",
   "level": "l3"
  },
  "CAP_684b87b5": {
   "en": "Doorplate Text Recognition",
   "zh": "门牌号文本识别",
   "level": "l3"
  },
  "CAP_0fa6d789": {
   "en": "Landmark Text Database Matching",
   "zh": "地标文本库匹配定位",
   "level": "l3"
  },
  "CAP_57d1963a": {
   "en": "Text-Constrained Particle Filter Initialization",
   "zh": "文本约束粒子滤波初始化",
   "level": "l3"
  },
  "CAP_f747d046": {
   "en": "Doorplate PnP Pose Solving",
   "zh": "门牌PnP位姿求解",
   "level": "l3"
  },
  "CAP_1793f59c": {
   "en": "ROS AprilTag Detection Node Integration",
   "zh": "ROS AprilTag 检测节点集成",
   "level": "l3"
  },
  "CAP_c4b459c8": {
   "en": "Multi-Tag Simultaneous Localization and Tracking",
   "zh": "多标签同时定位与跟踪",
   "level": "l3"
  },
  "CAP_522d0120": {
   "en": "Local-Global Multi-Scale Descriptor Matching",
   "zh": "局部-全局多尺度描述子匹配",
   "level": "l3"
  },
  "CAP_3056c5a7": {
   "en": "BEV Dense Raster Map Construction",
   "zh": "环视BEV密集栅格地图构建",
   "level": "l2"
  },
  "CAP_af583a71": {
   "en": "BEV Temporal Consistency Refinement",
   "zh": "BEV时序一致性精修",
   "level": "l3"
  },
  "CAP_5b2c545d": {
   "en": "End-to-End Sparse Vectorized Map Construction",
   "zh": "端到端稀疏矢量化地图构建",
   "level": "l2"
  },
  "CAP_4d17cdc5": {
   "en": "Permutation-Equivalent Point Set Modeling",
   "zh": "置换等变点集建模",
   "level": "l3"
  },
  "CAP_7b297f58": {
   "en": "Auxiliary One-to-Many Matching And Dense Supervision",
   "zh": "辅助一对多匹配与密集监督",
   "level": "l3"
  },
  "CAP_2cd6c466": {
   "en": "Topology-Aware Unified Lane Graph Construction",
   "zh": "拓扑感知统一车道图构建",
   "level": "l2"
  },
  "CAP_95f7fb8f": {
   "en": "Lane Topology And Connectivity Prediction",
   "zh": "车道拓扑与连通性预测",
   "level": "l3"
  },
  "CAP_2c3713e7": {
   "en": "Parametric Bezier Curve Lane Modeling",
   "zh": "参数化贝塞尔曲线车道建模",
   "level": "l3"
  },
  "CAP_edfae66a": {
   "en": "Path-wise Lane Graph Modeling",
   "zh": "路径式车道图建模",
   "level": "l3"
  },
  "CAP_cc210fe4": {
   "en": "Dual-Branch Unified Detection Head",
   "zh": "双分支统一检测头",
   "level": "l3"
  },
  "CAP_af411d9d": {
   "en": "Skill Primitive Selection & Parameter Inference",
   "zh": "技能原语选择与参数推理",
   "level": "l2"
  },
  "CAP_baad4c88": {
   "en": "Perception & Control Primitive API Parameterization",
   "zh": "感知与控制原语 API 参数化",
   "level": "l3"
  },
  "CAP_e5f3faeb": {
   "en": "LTL Planner Execution",
   "zh": "LTL 规划器执行",
   "level": "l3"
  },
  "CAP_04857c44": {
   "en": "Knowledge Insulation Bilevel Training",
   "zh": "知识隔离双层训练",
   "level": "l3"
  },
  "CAP_031e9b83": {
   "en": "Affordance Feasibility Scoring",
   "zh": "可供性可行性评分",
   "level": "l3"
  },
  "CAP_88ef7da5": {
   "en": "Robot Skill Library Management",
   "zh": "机器人技能库管理",
   "level": "l2"
  },
  "CAP_9d5f20a4": {
   "en": "Feedback Integration",
   "zh": "反馈集成",
   "level": "l3"
  },
  "CAP_505f59dd": {
   "en": "Robot Policy Code Synthesis",
   "zh": "机器人策略代码合成",
   "level": "l2"
  },
  "CAP_5b18105f": {
   "en": "Execution Success Detection",
   "zh": "执行成功检测",
   "level": "l3"
  },
  "CAP_cb425af5": {
   "en": "Multimodal Data Serialization",
   "zh": "多模态数据序列化与混合",
   "level": "l3"
  },
  "CAP_d8fcedbe": {
   "en": "Visual Encoding",
   "zh": "视觉观测编码",
   "level": "l3"
  },
  "CAP_d53c3d79": {
   "en": "VLA Backbone Forward",
   "zh": "VLA 主干自回归前向",
   "level": "l3"
  },
  "CAP_17973b30": {
   "en": "Chain-of-Thought Control Reasoning",
   "zh": "思维链控制推理",
   "level": "l3"
  },
  "CAP_d04d7aa6": {
   "en": "Multimodal Sequence Construction",
   "zh": "多模态观测-指令序列拼接",
   "level": "l3"
  },
  "CAP_a618e29e": {
   "en": "Action Token Denormalization",
   "zh": "动作token反归一化解码",
   "level": "l3"
  },
  "CAP_22037295": {
   "en": "Language Instruction Tokenization",
   "zh": "语言指令分词",
   "level": "l3"
  },
  "CAP_04777913": {
   "en": "Language Goal Encoding",
   "zh": "语言目标编码",
   "level": "l3"
  },
  "CAP_364070d8": {
   "en": "Top-Down Orthographic Heightmap Construction",
   "zh": "顶视正交高度图构建",
   "level": "l3"
  },
  "CAP_997206e8": {
   "en": "Semantic What-Stream Encoding",
   "zh": "语义流编码",
   "level": "l3"
  },
  "CAP_d62c3f82": {
   "en": "Spatial Where-Stream Encoding",
   "zh": "空间流编码",
   "level": "l3"
  },
  "CAP_326efbba": {
   "en": "Language-Vision Feature Fusion",
   "zh": "语言-视觉特征融合",
   "level": "l3"
  },
  "CAP_6da33a8e": {
   "en": "Pick Affordance Prediction",
   "zh": "抓取可供性预测",
   "level": "l3"
  },
  "CAP_de50c3c7": {
   "en": "Transporter Cross-Correlation Place Prediction",
   "zh": "跨相关放置预测",
   "level": "l3"
  },
  "CAP_d603900f": {
   "en": "SE(2) Pose to Robot Execution",
   "zh": "SE(2) 姿态解算与执行",
   "level": "l3"
  },
  "CAP_60f577e0": {
   "en": "Two-Stream Language-Conditioned BC Policy",
   "zh": "双流语言条件行为克隆策略",
   "level": "l2"
  },
  "CAP_7760cdcc": {
   "en": "RGB-D Heightmap Encoding",
   "zh": "RGB-D高度图编码",
   "level": "l3"
  },
  "CAP_29fa6e06": {
   "en": "Pick Action Prediction",
   "zh": "抓取动作预测",
   "level": "l3"
  },
  "CAP_3d89fe54": {
   "en": "Place Action Prediction",
   "zh": "放置动作预测",
   "level": "l3"
  },
  "CAP_fc412ea3": {
   "en": "Goal-Current Feature Matching",
   "zh": "目标-当前特征匹配",
   "level": "l3"
  },
  "CAP_211e0b37": {
   "en": "Language-Conditioned Task Conditioning",
   "zh": "语言条件任务条件化",
   "level": "l2"
  },
  "CAP_157e56c5": {
   "en": "VLM-Guided Action Prediction and Execution",
   "zh": "VLM 引导的动作预测与执行",
   "level": "l2"
  },
  "CAP_724b2974": {
   "en": "Language Generalization Evaluation",
   "zh": "语言泛化评估",
   "level": "l2"
  },
  "CAP_6cc00509": {
   "en": "Motion Planning Execution",
   "zh": "关键帧运动规划执行",
   "level": "l3"
  },
  "CAP_91e2bc69": {
   "en": "CLIPort Language-Conditioned Dual-Stream BC Evaluation",
   "zh": "CLIPort 语言条件双流行为克隆评估",
   "level": "l3"
  },
  "CAP_64dbe5ed": {
   "en": "PerceiverIO Voxel Next-Best-Pose Detection",
   "zh": "PerceiverIO 体素次优位姿检测",
   "level": "l3"
  },
  "CAP_27614dda": {
   "en": "Multi-View RGB-D Virtual View Rendering",
   "zh": "多视图 RGB-D 虚拟视图渲染",
   "level": "l3"
  },
  "CAP_c3ddfc8c": {
   "en": "Simulation Task Generation",
   "zh": "仿真任务生成",
   "level": "l3"
  },
  "CAP_522c7e4e": {
   "en": "Multi-task Policy Training",
   "zh": "多任务策略训练",
   "level": "l3"
  },
  "CAP_4320ef5c": {
   "en": "End-to-End Multimodal Instruction-Following Policy",
   "zh": "端到端多模态指令跟随策略",
   "level": "l2"
  },
  "CAP_6c7bd789": {
   "en": "Action Tokenization and Decoding",
   "zh": "动作 token 化与解码",
   "level": "l3"
  },
  "CAP_2c441b71": {
   "en": "VLA Training and Fine-tuning",
   "zh": "VLA 训练与微调",
   "level": "l2"
  },
  "CAP_8fb6cfb7": {
   "en": "VLA Deployment and Execution",
   "zh": "VLA 部署与执行",
   "level": "l2"
  },
  "CAP_c6071a65": {
   "en": "Model Deployment",
   "zh": "模型部署",
   "level": "l3"
  },
  "CAP_8d6c9964": {
   "en": "Multimodal Fusion Conditioning for VLA",
   "zh": "VLA 多模态融合条件化",
   "level": "l3"
  },
  "CAP_ab31f844": {
   "en": "Modular VLM Grounding Pipeline",
   "zh": "模块化视觉-语言接地管线",
   "level": "l2"
  },
  "CAP_bb84b16a": {
   "en": "Affordance-Grounded Planning and Execution",
   "zh": "接地规划与执行",
   "level": "l3"
  },
  "CAP_229165a0": {
   "en": "Pixel-wise Affordance Prediction",
   "zh": "像素级 affordance 预测",
   "level": "l3"
  },
  "CAP_cf002eff": {
   "en": "Cross-Correlation Transport Operation",
   "zh": "互相关搬运操作",
   "level": "l3"
  },
  "CAP_fb5f3ac8": {
   "en": "Language-Goal Value-Map Composition",
   "zh": "语言目标价值图合成",
   "level": "l3"
  },
  "CAP_9ffcf10e": {
   "en": "3D Value Map Generation",
   "zh": "3D价值图生成",
   "level": "l3"
  },
  "CAP_86d3a8f0": {
   "en": "MPC Trajectory Optimization",
   "zh": "MPC轨迹优化",
   "level": "l3"
  },
  "CAP_92049232": {
   "en": "Voxel Affordance-Constraint Map Generation",
   "zh": "体素可供性-约束图生成",
   "level": "l3"
  },
  "CAP_0bbe95fc": {
   "en": "Language-Conditioned Motion Planning",
   "zh": "语言条件运动规划",
   "level": "l2"
  },
  "CAP_2b775f18": {
   "en": "Contact-Rich Dynamics Model Learning",
   "zh": "接触丰富动力学模型学习",
   "level": "l3"
  },
  "CAP_1228e6af": {
   "en": "Image-Editing Diffusion Subgoal Synthesis",
   "zh": "图像编辑扩散模型子目标合成",
   "level": "l3"
  },
  "CAP_c35794f3": {
   "en": "Text-Conditioned Video Subgoal Planning",
   "zh": "文本条件视频子目标规划",
   "level": "l3"
  },
  "CAP_46d8fd34": {
   "en": "Federated Policy Aggregation Training",
   "zh": "联邦策略聚合训练",
   "level": "l3"
  },
  "CAP_b5b6d804": {
   "en": "Heterogeneous Subnetwork Slicing",
   "zh": "异构子网络参数切片",
   "level": "l3"
  },
  "CAP_18905392": {
   "en": "Federated Weighted Averaging",
   "zh": "联邦加权平均聚合",
   "level": "l3"
  },
  "CAP_d9810ab4": {
   "en": "Embedding-based Cluster Personalization",
   "zh": "嵌入聚类个性化",
   "level": "l3"
  },
  "CAP_ccf86b7e": {
   "en": "Self-Regulating Checkpointing",
   "zh": "自调节检查点节流",
   "level": "l3"
  },
  "CAP_186a2aa4": {
   "en": "Client Capability Profiling",
   "zh": "客户端能力画像",
   "level": "l3"
  },
  "CAP_65fbd544": {
   "en": "Heterogeneous Subnetwork Generation",
   "zh": "异构子网络生成",
   "level": "l3"
  },
  "CAP_4b06c70c": {
   "en": "Hierarchical Model Distribution",
   "zh": "分层模型下发",
   "level": "l3"
  },
  "CAP_63f7c743": {
   "en": "Local Training with Personalization",
   "zh": "本地训练与个性化",
   "level": "l2"
  },
  "CAP_96f30e95": {
   "en": "Local Subnetwork Training",
   "zh": "本地子网络训练",
   "level": "l3"
  },
  "CAP_2c80f8fb": {
   "en": "Embedding-based Clustering",
   "zh": "基于嵌入的聚类",
   "level": "l3"
  },
  "CAP_2cf7aee4": {
   "en": "Cluster-wise Model Aggregation",
   "zh": "簇级模型聚合",
   "level": "l3"
  },
  "CAP_4f8ce08a": {
   "en": "Secure Aggregation",
   "zh": "安全聚合",
   "level": "l2"
  },
  "CAP_0dfdbfdf": {
   "en": "Masked Cross-Entropy Aggregation",
   "zh": "掩码交叉熵聚合",
   "level": "l3"
  },
  "CAP_ce47256f": {
   "en": "Secure Aggregation Masking",
   "zh": "安全聚合掩码",
   "level": "l3"
  },
  "CAP_6a9d30b2": {
   "en": "Communication Throttling and Deployment",
   "zh": "通信节流与部署",
   "level": "l2"
  },
  "CAP_29591145": {
   "en": "Checkpoint-based Throttling",
   "zh": "基于检查点的节流",
   "level": "l3"
  },
  "CAP_a3ba249e": {
   "en": "Global Model Deployment",
   "zh": "全局模型部署",
   "level": "l3"
  },
  "CAP_f38a9924": {
   "en": "Cross-domain Neural Scene Sharing",
   "zh": "跨域神经场景共享",
   "level": "l3"
  },
  "CAP_d2906957": {
   "en": "Online 3D Gaussian Splatting SLAM",
   "zh": "3DGS 在线 SLAM 重建",
   "level": "l3"
  },
  "CAP_c0abe0bc": {
   "en": "3DGS Representation Compression",
   "zh": "3DGS 表示压缩",
   "level": "l3"
  },
  "CAP_47c3b65e": {
   "en": "Neural Field Model Serialization and Cross-domain Transmission",
   "zh": "神经场模型序列化与跨域传输",
   "level": "l3"
  },
  "CAP_77a9e4cd": {
   "en": "Scene Capture and Initialization",
   "zh": "场景采集与表示初始化",
   "level": "l2"
  },
  "CAP_a5ea1cc3": {
   "en": "Scene Optimization and Reconstruction",
   "zh": "场景优化与重建",
   "level": "l2"
  },
  "CAP_2a84a2ae": {
   "en": "RGB-D SLAM Reconstruction",
   "zh": "RGB-D SLAM 重建",
   "level": "l3"
  },
  "CAP_be872b40": {
   "en": "Scene Compression and Sharing",
   "zh": "场景压缩与共享",
   "level": "l2"
  },
  "CAP_55d4ffb1": {
   "en": "Receiver Rendering and Viewing",
   "zh": "接收端渲染与查看",
   "level": "l2"
  },
  "CAP_276c221c": {
   "en": "Multi-view RGB-D Capture",
   "zh": "多视角 RGB-D 采集",
   "level": "l3"
  },
  "CAP_4b171254": {
   "en": "Neural Field Construction and Optimization",
   "zh": "神经场构建与优化",
   "level": "l2"
  },
  "CAP_398902a4": {
   "en": "3D Gaussian Splatting Optimization",
   "zh": "3D 高斯泼溅优化",
   "level": "l3"
  },
  "CAP_7d7ccb77": {
   "en": "Neural Field Compression",
   "zh": "神经场压缩",
   "level": "l2"
  },
  "CAP_2a1a7530": {
   "en": "Neural Field Model Serialization",
   "zh": "神经场模型序列化",
   "level": "l3"
  },
  "CAP_0f4623c7": {
   "en": "Cross-domain Transmission",
   "zh": "跨域传输",
   "level": "l3"
  },
  "CAP_317f1e5f": {
   "en": "Receiver-side Rendering",
   "zh": "接收端渲染",
   "level": "l3"
  },
  "CAP_6c32aed2": {
   "en": "Sim-to-Real Generative Data Augmentation Pipeline",
   "zh": "仿真到现实生成式数据增强管道",
   "level": "l2"
  },
  "CAP_39aa835e": {
   "en": "Human Demo Parsing and Object-Centric Segmentation",
   "zh": "人类演示解析与对象中心分段",
   "level": "l3"
  },
  "CAP_263a77a3": {
   "en": "Frame-Transform Replay",
   "zh": "帧变换重放",
   "level": "l3"
  },
  "CAP_1e8e6adf": {
   "en": "Success Filtering",
   "zh": "成功校验与生成集构建",
   "level": "l3"
  },
  "CAP_6cea1bef": {
   "en": "Semantic Diffusion Augmentation",
   "zh": "语义扩散增强",
   "level": "l3"
  },
  "CAP_d02d542b": {
   "en": "Visual Conditioning Encoding",
   "zh": "视觉条件编码",
   "level": "l3"
  },
  "CAP_b63b5576": {
   "en": "Closed-Loop Receding-Horizon Inference",
   "zh": "闭环滚动时域推理",
   "level": "l3"
  },
  "CAP_609f2a09": {
   "en": "Frame-Transform Replay Data Generation",
   "zh": "帧变换重放数据生成",
   "level": "l3"
  },
  "CAP_7091638c": {
   "en": "Semantic Generative Augmentation",
   "zh": "语义生成式数据增强",
   "level": "l3"
  },
  "CAP_68ff4c89": {
   "en": "Visual Conditioning Encoder",
   "zh": "视觉条件编码器",
   "level": "l3"
  },
  "CAP_ac782f03": {
   "en": "Source Demonstration Collection and Annotation",
   "zh": "源演示采集与标注",
   "level": "l2"
  },
  "CAP_02f4d8d8": {
   "en": "Human Demonstration Collection",
   "zh": "人类演示采集",
   "level": "l3"
  },
  "CAP_e22a9894": {
   "en": "Object Pose and Subtask Annotation",
   "zh": "物体位姿与子任务标注",
   "level": "l3"
  },
  "CAP_02d6ae64": {
   "en": "Demonstration Replay and Data Generation",
   "zh": "演示重放与数据生成",
   "level": "l2"
  },
  "CAP_a43b1fbb": {
   "en": "Subtask Segmentation",
   "zh": "子任务分段",
   "level": "l3"
  },
  "CAP_45b3ed8d": {
   "en": "Homogeneous Transform for Demonstration Replay",
   "zh": "齐次变换演示重放",
   "level": "l3"
  },
  "CAP_0cc08345": {
   "en": "Trajectory Execution and Success Filtering",
   "zh": "轨迹执行与成功过滤",
   "level": "l3"
  },
  "CAP_68a77053": {
   "en": "Semantic Visual Augmentation",
   "zh": "语义视觉增强",
   "level": "l2"
  },
  "CAP_aaba4bd7": {
   "en": "Semantic Augmentation Generation",
   "zh": "语义增强生成",
   "level": "l3"
  },
  "CAP_31a22b6d": {
   "en": "Policy Training and Inference",
   "zh": "策略训练与推理",
   "level": "l2"
  },
  "CAP_92b0c762": {
   "en": "Human Demo Parsing",
   "zh": "人类演示解析",
   "level": "l3"
  },
  "CAP_7665b3b9": {
   "en": "Hierarchical Voxel Block Allocation",
   "zh": "分层体素块分配",
   "level": "l3"
  },
  "CAP_e7d7edca": {
   "en": "Dynamic Object Filtering",
   "zh": "动态物体滤除",
   "level": "l3"
  },
  "CAP_1e91925a": {
   "en": "Layered Mesh Extraction",
   "zh": "分层网格提取",
   "level": "l3"
  },
  "CAP_d4d08ff1": {
   "en": "Keyframe-based Incremental Mapping",
   "zh": "基于关键帧的增量建图",
   "level": "l3"
  },
  "CAP_ab8a46b1": {
   "en": "Differentiable Pose Optimization",
   "zh": "可微位姿优化",
   "level": "l3"
  },
  "CAP_a1b28db9": {
   "en": "Neural Implicit Map Representation",
   "zh": "神经隐式地图表征",
   "level": "l3"
  },
  "CAP_815ecf8d": {
   "en": "Hierarchical Feature Grid Allocation",
   "zh": "层次化特征网格分配",
   "level": "l3"
  },
  "CAP_a5163e01": {
   "en": "Neural Implicit Map Update",
   "zh": "神经隐式地图更新",
   "level": "l3"
  },
  "CAP_d420ab3a": {
   "en": "Volumetric Rendering with Implicit Field",
   "zh": "隐式场体渲染",
   "level": "l3"
  },
  "CAP_6a21c5b2": {
   "en": "Volumetric Rendering",
   "zh": "体渲染",
   "level": "l3"
  },
  "CAP_adeefe14": {
   "en": "Loss Computation",
   "zh": "损失计算",
   "level": "l3"
  },
  "CAP_e61e15aa": {
   "en": "Global Bundle Adjustment with Implicit Map",
   "zh": "隐式地图全局捆绑调整",
   "level": "l3"
  },
  "CAP_cb5ce47f": {
   "en": "Global Bundle Adjustment",
   "zh": "全局捆绑调整",
   "level": "l3"
  },
  "CAP_b0b856ef": {
   "en": "Gaussian Map Initialization",
   "zh": "高斯地图初始化",
   "level": "l3"
  },
  "CAP_8107e016": {
   "en": "Camera Pose Tracking",
   "zh": "相机位姿跟踪",
   "level": "l3"
  },
  "CAP_f614e523": {
   "en": "Differentiable Gaussian Rasterization",
   "zh": "可微高斯栅格化",
   "level": "l3"
  },
  "CAP_4025c315": {
   "en": "Adaptive Gaussian Densification",
   "zh": "自适应高斯稠密化",
   "level": "l3"
  },
  "CAP_e7544442": {
   "en": "Gaussian Parameter Optimization",
   "zh": "高斯参数优化",
   "level": "l3"
  },
  "CAP_ab72a3b2": {
   "en": "Gaussian Pruning and Cleanup",
   "zh": "高斯剪枝与清理",
   "level": "l3"
  },
  "CAP_5064bb27": {
   "en": "Loop Closure and Map Correction",
   "zh": "回环检测与地图校正",
   "level": "l2"
  },
  "CAP_2c5bbba6": {
   "en": "Gaussian Map Correction",
   "zh": "高斯地图校正",
   "level": "l3"
  },
  "CAP_19bdc1d9": {
   "en": "Hierarchical Clustering",
   "zh": "层次化聚类",
   "level": "l3"
  },
  "CAP_af14f1a4": {
   "en": "Multi-level Feature Extraction",
   "zh": "多级特征提取",
   "level": "l3"
  },
  "CAP_f43ba8e4": {
   "en": "Hierarchical Index Building",
   "zh": "层次化索引构建",
   "level": "l3"
  },
  "CAP_47a1c5d5": {
   "en": "Hierarchical Retrieval",
   "zh": "层次化检索",
   "level": "l3"
  },
  "CAP_0b428115": {
   "en": "Neural Index Training",
   "zh": "神经索引训练",
   "level": "l3"
  },
  "CAP_00a63fd8": {
   "en": "Neural Query Inference",
   "zh": "神经查询推理",
   "level": "l3"
  },
  "CAP_8c464f21": {
   "en": "Neural Codebook Learning",
   "zh": "神经码本学习",
   "level": "l3"
  },
  "CAP_cdabb26d": {
   "en": "Incremental Index Update",
   "zh": "增量索引更新",
   "level": "l3"
  },
  "CAP_f2f08b3b": {
   "en": "Hybrid Index Fusion",
   "zh": "混合索引融合",
   "level": "l3"
  },
  "CAP_99651730": {
   "en": "Open-Vocabulary Feature Extraction",
   "zh": "开放词汇特征提取",
   "level": "l3"
  },
  "CAP_9e73adb7": {
   "en": "IVF-PQ Index Construction",
   "zh": "IVF-PQ 索引构建",
   "level": "l3"
  },
  "CAP_53dd583f": {
   "en": "ANN Query with Semantic Filtering",
   "zh": "带语义过滤的近似最近邻查询",
   "level": "l3"
  },
  "CAP_ae2614c3": {
   "en": "Cross-Modal Feature Alignment Check",
   "zh": "跨模态特征对齐检查",
   "level": "l3"
  },
  "CAP_deb42aeb": {
   "en": "Multi-source Data Orchestration",
   "zh": "多源数据编排",
   "level": "l3"
  },
  "CAP_ff7b0972": {
   "en": "Unified Action Tokenization",
   "zh": "统一动作标记化",
   "level": "l3"
  },
  "CAP_74677397": {
   "en": "Joint VLM-Action Pretraining",
   "zh": "视觉-语言-动作联合预训练",
   "level": "l3"
  },
  "CAP_196c799b": {
   "en": "Distributed Pretraining Optimization",
   "zh": "分布式预训练优化",
   "level": "l3"
  },
  "CAP_d42d6bb4": {
   "en": "Instruction Following Alignment",
   "zh": "指令跟随对齐",
   "level": "l3"
  },
  "CAP_63910450": {
   "en": "Pretraining Data Augmentation Pipeline",
   "zh": "预训练数据增强管线",
   "level": "l3"
  },
  "CAP_96161ab9": {
   "en": "Pretraining Objective Composition",
   "zh": "预训练目标组合",
   "level": "l3"
  },
  "CAP_f67ba8bc": {
   "en": "Distributed Pretraining Orchestration",
   "zh": "分布式预训练编排",
   "level": "l3"
  },
  "CAP_899bc1b0": {
   "en": "Continual Pretraining with Data Flywheel",
   "zh": "持续预训练与数据飞轮",
   "level": "l3"
  },
  "CAP_accfb8b6": {
   "en": "Generative Sim Data Factory",
   "zh": "生成式仿真数据工厂",
   "level": "l3"
  },
  "CAP_c10ee190": {
   "en": "Domain Randomization Engine",
   "zh": "域随机化引擎",
   "level": "l3"
  },
  "CAP_e2bee030": {
   "en": "Sim Policy Pretraining",
   "zh": "仿真策略预训练",
   "level": "l3"
  },
  "CAP_64f06dcb": {
   "en": "Sim-to-Real Domain Adaptation",
   "zh": "仿真到现实域适应",
   "level": "l3"
  },
  "CAP_9ba466d9": {
   "en": "Online Adaptive Fine-Tuning",
   "zh": "在线自适应微调",
   "level": "l3"
  },
  "CAP_97f286e6": {
   "en": "Multi-format Data Ingestion",
   "zh": "多格式数据摄取",
   "level": "l3"
  },
  "CAP_4955c132": {
   "en": "Multi-sensor Temporal Synchronization",
   "zh": "多传感器时序同步",
   "level": "l3"
  },
  "CAP_dfb6854c": {
   "en": "Hindsight Language Annotation",
   "zh": "事后语言标注",
   "level": "l3"
  },
  "CAP_32291517": {
   "en": "Teleoperation Task Templating",
   "zh": "遥操作任务模板化",
   "level": "l3"
  },
  "CAP_f3ea7b5e": {
   "en": "Teleoperation Task Templating (L3)",
   "zh": "遥操作任务模板化（执行层）",
   "level": "l3"
  },
  "CAP_aef5bff2": {
   "en": "Crowdsourced Teleoperation Scheduling",
   "zh": "众包遥操作调度",
   "level": "l3"
  },
  "CAP_6c9e103b": {
   "en": "Crowdsourced Teleoperation Scheduling (L3)",
   "zh": "众包遥操作调度（执行层）",
   "level": "l3"
  },
  "CAP_142b8973": {
   "en": "Multimodal Teleoperation Recording",
   "zh": "多模态遥操作记录",
   "level": "l3"
  },
  "CAP_c865ffa0": {
   "en": "Multimodal Teleoperation Recording (L3)",
   "zh": "多模态遥操作记录（执行层）",
   "level": "l3"
  },
  "CAP_17e9f4d7": {
   "en": "Realtime Quality Gating",
   "zh": "实时质量门禁",
   "level": "l3"
  },
  "CAP_b54bd7f3": {
   "en": "Realtime Quality Gating (L3)",
   "zh": "实时质量门禁（执行层）",
   "level": "l3"
  },
  "CAP_e5ec0351": {
   "en": "Teleoperation Postprocess Pipeline",
   "zh": "遥操作后处理流水线",
   "level": "l3"
  },
  "CAP_cdc089f1": {
   "en": "Teleoperation Postprocess Pipeline (L3)",
   "zh": "遥操作后处理流水线（执行层）",
   "level": "l3"
  },
  "CAP_04c5300c": {
   "en": "Quality Audit and Ingestion",
   "zh": "质量审核与入库",
   "level": "l3"
  },
  "CAP_145351b2": {
   "en": "Quality Audit and Ingestion (L3)",
   "zh": "质量审核与入库（执行层）",
   "level": "l3"
  },
  "CAP_afb21c88": {
   "en": "VLM Zero-shot Annotation",
   "zh": "VLM零样本标注",
   "level": "l3"
  },
  "CAP_32457b36": {
   "en": "Cross-embodiment Mapping",
   "zh": "跨具身映射",
   "level": "l3"
  },
  "CAP_59014be4": {
   "en": "VLM Quality Scoring",
   "zh": "VLM质量评分",
   "level": "l3"
  },
  "CAP_39e0494e": {
   "en": "Diffusion-based View Augmentation",
   "zh": "扩散模型视角增强",
   "level": "l3"
  },
  "CAP_578e2497": {
   "en": "Language Instruction Augmentation",
   "zh": "语言指令增强",
   "level": "l3"
  },
  "CAP_29dfe73f": {
   "en": "Feature Extraction and Matching",
   "zh": "特征提取与匹配",
   "level": "l3"
  },
  "CAP_5d7bcf89": {
   "en": "Incremental SfM Reconstruction",
   "zh": "增量式运动恢复结构",
   "level": "l3"
  },
  "CAP_d4c1f1cc": {
   "en": "Dense MVS Reconstruction",
   "zh": "稠密多视角立体重建",
   "level": "l3"
  },
  "CAP_caed2d32": {
   "en": "Large-scale Scene Partitioning",
   "zh": "大规模场景分区",
   "level": "l3"
  },
  "CAP_3c99c45c": {
   "en": "Scene Partitioning by Spatial Overlap",
   "zh": "基于空间重叠的场景划分",
   "level": "l3"
  },
  "CAP_d4565277": {
   "en": "Distributed NeRF Submap Training",
   "zh": "分布式NeRF子图训练",
   "level": "l3"
  },
  "CAP_b288a352": {
   "en": "Appearance Embedding Decoupling",
   "zh": "外观嵌入解耦",
   "level": "l3"
  },
  "CAP_98f21f51": {
   "en": "Overlap Photometric Alignment",
   "zh": "重叠区光度对齐",
   "level": "l3"
  },
  "CAP_d7477e54": {
   "en": "Global Gaussian Fusion",
   "zh": "全局高斯融合",
   "level": "l3"
  },
  "CAP_191c40c5": {
   "en": "Streaming LOD Rendering",
   "zh": "流式LOD渲染",
   "level": "l3"
  },
  "CAP_c8f3545f": {
   "en": "Feedforward Encoding and Fusion",
   "zh": "前馈编码与融合",
   "level": "l2"
  },
  "CAP_3a41d1ef": {
   "en": "Cross-View Fusion",
   "zh": "跨视角融合",
   "level": "l3"
  },
  "CAP_7e9695e5": {
   "en": "3D Representation Prediction",
   "zh": "三维表示预测",
   "level": "l3"
  },
  "CAP_f93e34d9": {
   "en": "Feedforward Reconstruction Head",
   "zh": "前馈重建头",
   "level": "l3"
  },
  "CAP_2c46a74f": {
   "en": "Multi-Scale Scene Aggregation",
   "zh": "多尺度场景聚合",
   "level": "l3"
  },
  "CAP_9ce71c03": {
   "en": "Graph Import and Parse",
   "zh": "模型导入与图解析",
   "level": "l3"
  },
  "CAP_9bca49aa": {
   "en": "Graph Import and Parse (L3)",
   "zh": "模型导入与图解析（叶子）",
   "level": "l3"
  },
  "CAP_375e9553": {
   "en": "Operator Fusion and Graph Optimization (L3)",
   "zh": "算子融合与图优化（叶子）",
   "level": "l3"
  },
  "CAP_cccee9f9": {
   "en": "Tensor Compilation and Autotuning",
   "zh": "张量编译与自动调优",
   "level": "l3"
  },
  "CAP_76625eae": {
   "en": "Tensor Compilation and Autotuning (L3)",
   "zh": "张量编译与自动调优（叶子）",
   "level": "l3"
  },
  "CAP_967aad35": {
   "en": "Runtime Execution and Latency Profiling",
   "zh": "运行时执行与延迟监控",
   "level": "l3"
  },
  "CAP_02df45cc": {
   "en": "Runtime Execution and Latency Profiling (L3)",
   "zh": "运行时执行与延迟监控（叶子）",
   "level": "l3"
  },
  "CAP_da71a4df": {
   "en": "Async Pipeline Stage Decoupling",
   "zh": "异步流水线阶段解耦",
   "level": "l2"
  },
  "CAP_e9aa456f": {
   "en": "Async Pipeline Stage Decoupling (L3)",
   "zh": "异步流水线阶段解耦（叶子）",
   "level": "l3"
  },
  "CAP_ea1c829b": {
   "en": "Pipeline Parallel Scheduler",
   "zh": "流水线并行调度器",
   "level": "l2"
  },
  "CAP_dbe470f1": {
   "en": "Pipeline Parallel Scheduler (L3)",
   "zh": "流水线并行调度器（叶子）",
   "level": "l3"
  },
  "CAP_6c2e18c0": {
   "en": "Backpressure Controller",
   "zh": "背压控制器",
   "level": "l2"
  },
  "CAP_64b4874b": {
   "en": "Backpressure Controller (L3)",
   "zh": "背压控制器（叶子）",
   "level": "l3"
  },
  "CAP_ba438f66": {
   "en": "Deadline-aware Scheduler",
   "zh": "截止时间感知调度器",
   "level": "l2"
  },
  "CAP_dadac593": {
   "en": "Deadline-aware Scheduler (L3)",
   "zh": "截止时间感知调度器（叶子）",
   "level": "l3"
  },
  "CAP_6059936f": {
   "en": "Inter-stage Zero-copy Transport",
   "zh": "阶段间零拷贝传输",
   "level": "l2"
  },
  "CAP_6c557926": {
   "en": "Inter-stage Zero-copy Transport (L3)",
   "zh": "阶段间零拷贝传输（叶子）",
   "level": "l3"
  },
  "CAP_ef3ec130": {
   "en": "Stage Timeout and Fallback",
   "zh": "阶段超时与降级",
   "level": "l2"
  },
  "CAP_0507d4cb": {
   "en": "Stage Timeout and Fallback (L3)",
   "zh": "阶段超时与降级（叶子）",
   "level": "l3"
  },
  "CAP_99abc14e": {
   "en": "Latent Dynamics Forward Prediction",
   "zh": "潜动力学前向预测",
   "level": "l3"
  },
  "CAP_0bfc8fcf": {
   "en": "Latent Policy Integration",
   "zh": "潜空间策略集成",
   "level": "l3"
  },
  "CAP_27ba4226": {
   "en": "Slot Relation Reasoning",
   "zh": "槽间关系推理",
   "level": "l3"
  },
  "CAP_110bbcac": {
   "en": "Slot Dynamics Rollout",
   "zh": "槽动力学前向传播",
   "level": "l3"
  },
  "CAP_cc2b8320": {
   "en": "Object Permanence Tracking",
   "zh": "对象恒存性追踪",
   "level": "l3"
  },
  "CAP_125f7f8b": {
   "en": "Dynamics-Consistent Projection",
   "zh": "动力学一致性投影",
   "level": "l3"
  },
  "CAP_e06ba80c": {
   "en": "Structured Visual Encoding",
   "zh": "结构化视觉编码",
   "level": "l3"
  },
  "CAP_c66be39e": {
   "en": "Latent Space Planning",
   "zh": "潜空间规划",
   "level": "l3"
  },
  "CAP_e0631c9f": {
   "en": "Visuomotor Policy Learning",
   "zh": "视觉运动策略学习",
   "level": "l3"
  },
  "CAP_72eb5506": {
   "en": "Structured Latent Decoding",
   "zh": "结构化潜空间解码",
   "level": "l3"
  },
  "CAP_7874dcc3": {
   "en": "Latent Policy Optimization",
   "zh": "潜空间策略优化",
   "level": "l3"
  },
  "CAP_e0c54e15": {
   "en": "Latent MPC Planning",
   "zh": "潜空间模型预测控制规划",
   "level": "l3"
  },
  "CAP_46dbfca1": {
   "en": "Latent Exploration by Imagination",
   "zh": "基于想象的潜空间探索",
   "level": "l3"
  },
  "CAP_b577144b": {
   "en": "Reference Trajectory Smoothing",
   "zh": "参考轨迹平滑与重采样",
   "level": "l3"
  },
  "CAP_410457dc": {
   "en": "Vehicle Kinematic Modeling",
   "zh": "车辆运动学模型构建",
   "level": "l3"
  },
  "CAP_88e84678": {
   "en": "Lateral Error Dynamics Modeling",
   "zh": "横向误差动力学建模",
   "level": "l3"
  },
  "CAP_feeedfca": {
   "en": "Constraint Encoding",
   "zh": "约束定义与编码",
   "level": "l3"
  },
  "CAP_48a0f9c4": {
   "en": "MPC Optimization",
   "zh": "MPC优化问题构建与求解",
   "level": "l3"
  },
  "CAP_8eb42599": {
   "en": "Control Command Dispatch",
   "zh": "控制指令下发与闭环反馈",
   "level": "l3"
  },
  "CAP_a1106be6": {
   "en": "E2E Lateral Prediction",
   "zh": "端到端横向预测",
   "level": "l3"
  },
  "CAP_376ff8cf": {
   "en": "Multimodal Fusion Control",
   "zh": "多模态融合控制",
   "level": "l3"
  },
  "CAP_04210016": {
   "en": "Online Adaptation DAgger",
   "zh": "在线自适应DAgger",
   "level": "l3"
  },
  "CAP_9a742fcd": {
   "en": "Uncertainty Aware Safety",
   "zh": "不确定性感知安全",
   "level": "l3"
  },
  "CAP_88001d33": {
   "en": "Sim2Real Domain Randomization",
   "zh": "仿真到真实域随机化",
   "level": "l3"
  },
  "CAP_ac0f4fab": {
   "en": "Semantic Frame Sampling",
   "zh": "语义帧采样与预处理",
   "level": "l3"
  },
  "CAP_c7e071b2": {
   "en": "VLM Semantic Lateral Policy Inference",
   "zh": "VLM语义横向策略推理",
   "level": "l3"
  },
  "CAP_beacf551": {
   "en": "Lateral Policy Temporal Filtering",
   "zh": "横向策略时序滤波",
   "level": "l3"
  },
  "CAP_26e81c4a": {
   "en": "Semantic to Geometric Command Conversion",
   "zh": "语义到几何指令转换",
   "level": "l3"
  },
  "CAP_76f33c10": {
   "en": "Geometric Centerline Tracking",
   "zh": "几何中心线跟踪",
   "level": "l3"
  },
  "CAP_05ffa296": {
   "en": "Safe Slowdown",
   "zh": "安全减速",
   "level": "l3"
  },
  "CAP_d4faa105": {
   "en": "Lateral Command Dispatch",
   "zh": "横向指令下发",
   "level": "l3"
  },
  "CAP_bd930b89": {
   "en": "Semantic Goal Navigation",
   "zh": "语义目标导航",
   "level": "l3"
  },
  "CAP_fec2abf0": {
   "en": "Metric Planner",
   "zh": "度量规划器",
   "level": "l3"
  },
  "CAP_6e86e0ea": {
   "en": "Semantic Region Exploration",
   "zh": "语义区域探索",
   "level": "l3"
  },
  "CAP_ad6dd8de": {
   "en": "Opportunistic Object Search",
   "zh": "机会性对象搜索",
   "level": "l3"
  },
  "CAP_f2c3b379": {
   "en": "Temporal Data Acquisition and Alignment",
   "zh": "时序数据采集与对齐",
   "level": "l3"
  },
  "CAP_978cc925": {
   "en": "Static Background NeRF Pretraining",
   "zh": "静态背景 NeRF 预训练",
   "level": "l3"
  },
  "CAP_9a836836": {
   "en": "Temporal Embedding and Transient Modeling",
   "zh": "时序嵌入与瞬态建模",
   "level": "l3"
  },
  "CAP_aa889cd5": {
   "en": "Change Residual Rendering",
   "zh": "变化残差渲染与量化",
   "level": "l3"
  },
  "CAP_92fb157c": {
   "en": "Transient Object Filtering",
   "zh": "瞬态物体过滤",
   "level": "l3"
  },
  "CAP_b6ab7ab1": {
   "en": "Change Quantization",
   "zh": "变化量化",
   "level": "l3"
  },
  "CAP_0e30c706": {
   "en": "Historical Map Update and Storage",
   "zh": "历史地图更新与存储",
   "level": "l3"
  },
  "CAP_00cbc223": {
   "en": "Historical Map Query",
   "zh": "历史地图时空查询",
   "level": "l3"
  },
  "CAP_fa9e758e": {
   "en": "Semantic Feature Extraction",
   "zh": "语义特征提取",
   "level": "l2"
  },
  "CAP_614e5cca": {
   "en": "CLIP Feature Extraction",
   "zh": "CLIP 特征提取",
   "level": "l3"
  },
  "CAP_38eb07d6": {
   "en": "3D Gaussian Initialization",
   "zh": "3D 高斯初始化",
   "level": "l3"
  },
  "CAP_c9504ff5": {
   "en": "Differentiable Rasterization",
   "zh": "可微光栅化渲染",
   "level": "l3"
  },
  "CAP_8fc8113a": {
   "en": "Semantic Feature Distillation",
   "zh": "语义特征蒸馏",
   "level": "l2"
  },
  "CAP_b8fee5d0": {
   "en": "Feature Projection",
   "zh": "特征投影",
   "level": "l3"
  },
  "CAP_3d9e2707": {
   "en": "Open-Vocabulary 3D Query",
   "zh": "开放词汇 3D 查询",
   "level": "l2"
  },
  "CAP_f1ebbe26": {
   "en": "Text Query Encoding",
   "zh": "文本查询编码",
   "level": "l3"
  },
  "CAP_de7e1fb0": {
   "en": "3D Spatial Reasoning",
   "zh": "3D 空间推理",
   "level": "l3"
  },
  "CAP_411f0d72": {
   "en": "VLN Task Definition",
   "zh": "VLN 任务定义",
   "level": "l3"
  },
  "CAP_596dd6e2": {
   "en": "Dataset Split",
   "zh": "数据集划分",
   "level": "l3"
  },
  "CAP_c7c6f8fe": {
   "en": "Submission Gateway",
   "zh": "提交网关",
   "level": "l2"
  },
  "CAP_c9e11933": {
   "en": "Submission Format Validation",
   "zh": "提交格式校验",
   "level": "l3"
  },
  "CAP_511f10b9": {
   "en": "Duplicate Check",
   "zh": "重复提交检查",
   "level": "l3"
  },
  "CAP_438e7fc6": {
   "en": "Submission Rate Limiting",
   "zh": "提交频率限制",
   "level": "l3"
  },
  "CAP_e2a70bd3": {
   "en": "VLN Evaluation Engine",
   "zh": "VLN 评估引擎",
   "level": "l3"
  },
  "CAP_1a6651a4": {
   "en": "VLN Metric Computation",
   "zh": "VLN 指标计算",
   "level": "l3"
  },
  "CAP_f94254e9": {
   "en": "Multi-lingual Evaluation Support",
   "zh": "多语言评估支持",
   "level": "l3"
  },
  "CAP_0e66ec8e": {
   "en": "Leaderboard Ranking Engine",
   "zh": "排行榜排名引擎",
   "level": "l3"
  },
  "CAP_b1d79c57": {
   "en": "Leaderboard UI",
   "zh": "排行榜界面",
   "level": "l3"
  },
  "CAP_4c7ef378": {
   "en": "DexterousEnvWrapper",
   "zh": "灵巧手环境封装器",
   "level": "l3"
  },
  "CAP_46dd58c7": {
   "en": "SubmissionIngestionGateway",
   "zh": "提交摄取网关",
   "level": "l3"
  },
  "CAP_4cda5b3a": {
   "en": "ReproducibleEvalBuilder",
   "zh": "可复现评估构建器",
   "level": "l3"
  },
  "CAP_0782143a": {
   "en": "ParallelEvalRunner",
   "zh": "并行评估运行器",
   "level": "l3"
  },
  "CAP_bc22e42f": {
   "en": "MetricAggregationService",
   "zh": "指标聚合服务",
   "level": "l3"
  },
  "CAP_8ae6ef72": {
   "en": "E2E Model Onboarding",
   "zh": "端到端模型接入",
   "level": "l3"
  },
  "CAP_31f415e5": {
   "en": "Closed Loop Rollout Engine",
   "zh": "闭环执行引擎",
   "level": "l3"
  },
  "CAP_263eaf59": {
   "en": "VLA VLM Action Adapter",
   "zh": "VLA/VLM动作适配器",
   "level": "l3"
  },
  "CAP_099b1872": {
   "en": "E2E Scoring Engine",
   "zh": "端到端评分引擎",
   "level": "l3"
  },
  "CAP_f5553582": {
   "en": "Desired Formation Generation",
   "zh": "期望编队构型生成",
   "level": "l3"
  },
  "CAP_53b06d74": {
   "en": "Communication Topology Management",
   "zh": "通信拓扑管理",
   "level": "l3"
  },
  "CAP_eeb81a28": {
   "en": "Visual Leader Encoding",
   "zh": "视觉领导者编码",
   "level": "l3"
  },
  "CAP_bd57d014": {
   "en": "End-to-End Following Policy",
   "zh": "端到端跟随策略",
   "level": "l3"
  },
  "CAP_984f5803": {
   "en": "Sim-to-Real Visual Adaptation",
   "zh": "仿真到现实视觉自适应",
   "level": "l3"
  },
  "CAP_518d72b1": {
   "en": "Safe Following with Collision Prevention",
   "zh": "安全跟随与碰撞预防",
   "level": "l3"
  },
  "CAP_c402ff6e": {
   "en": "LiDAR Motion Distortion Correction",
   "zh": "激光雷达运动畸变校正",
   "level": "l3"
  },
  "CAP_a3e645a0": {
   "en": "Point Cloud Downsampling and Filtering",
   "zh": "点云降采样与滤波",
   "level": "l3"
  },
  "CAP_979a5158": {
   "en": "LiDAR Leader Detection",
   "zh": "激光雷达领航者检测",
   "level": "l3"
  },
  "CAP_2c64fc4f": {
   "en": "Geometric Relative Pose Estimation",
   "zh": "几何相对位姿估计",
   "level": "l3"
  },
  "CAP_5ecdf2e8": {
   "en": "LiDAR-Based Formation Control",
   "zh": "基于激光雷达的编队控制",
   "level": "l3"
  },
  "CAP_527c0ff3": {
   "en": "Degradation-Aware Fallback",
   "zh": "退化感知回退",
   "level": "l3"
  },
  "CAP_75753446": {
   "en": "Command Execution and Feedback",
   "zh": "指令执行与反馈",
   "level": "l3"
  },
  "CAP_552315c4": {
   "en": "Visual-Inertial Frontend Processing",
   "zh": "视觉-惯性前端处理",
   "level": "l2"
  },
  "CAP_f2d5606c": {
   "en": "Tightly-Coupled State Estimation",
   "zh": "紧耦合状态估计",
   "level": "l2"
  },
  "CAP_85c5e871": {
   "en": "Degeneracy Analysis",
   "zh": "退化分析",
   "level": "l3"
  },
  "CAP_d3f1f803": {
   "en": "Degradation Response Strategy",
   "zh": "退化应对策略",
   "level": "l3"
  },
  "CAP_d477f2a3": {
   "en": "Mild Degradation",
   "zh": "轻度退化应对",
   "level": "l3"
  },
  "CAP_96f7fa45": {
   "en": "Moderate Degradation",
   "zh": "中度退化应对",
   "level": "l3"
  },
  "CAP_456734ad": {
   "en": "Severe Degradation",
   "zh": "严重退化应对",
   "level": "l3"
  },
  "CAP_aba5bcd1": {
   "en": "Visual-Inertial Relocalization",
   "zh": "视觉-惯性重定位",
   "level": "l3"
  },
  "CAP_4d2c8753": {
   "en": "IMU-Only Propagation",
   "zh": "纯惯性传播",
   "level": "l3"
  },
  "CAP_da178366": {
   "en": "Human Intent Estimation",
   "zh": "人类意图估计",
   "level": "l3"
  },
  "CAP_f211de3c": {
   "en": "Leader Follower Motion Synchronization",
   "zh": "领导者跟随者运动同步",
   "level": "l3"
  },
  "CAP_ab3ddaf3": {
   "en": "Hybrid Force Motion Control",
   "zh": "混合力运动控制",
   "level": "l3"
  },
  "CAP_2de34ada": {
   "en": "Collaborative State Estimation",
   "zh": "协作状态估计",
   "level": "l3"
  },
  "CAP_202e6f35": {
   "en": "Leader Global Trajectory Planning",
   "zh": "领导者全局轨迹规划",
   "level": "l3"
  },
  "CAP_10bd7201": {
   "en": "Visual Leader Pose Estimation",
   "zh": "视觉领导者位姿估计",
   "level": "l3"
  },
  "CAP_7a6ebbc9": {
   "en": "Interaction Force Estimation",
   "zh": "交互力估计",
   "level": "l3"
  },
  "CAP_e558a588": {
   "en": "Visuo-Force Hybrid Control",
   "zh": "视觉-力觉混合控制",
   "level": "l3"
  },
  "CAP_d7cc0144": {
   "en": "Distributed Object State Estimation",
   "zh": "分布式物体状态估计",
   "level": "l3"
  },
  "CAP_1e18d564": {
   "en": "Decentralized Impedance Control",
   "zh": "分布式阻抗控制",
   "level": "l3"
  },
  "CAP_5e404a2b": {
   "en": "Implicit Coordination via Physical Interaction",
   "zh": "基于物理交互的隐式协调",
   "level": "l3"
  },
  "CAP_a09729eb": {
   "en": "Visual Affordance Prediction",
   "zh": "视觉可供性预测",
   "level": "l2"
  },
  "CAP_bc324a7c": {
   "en": "Pixelwise Grasp Affordance Prediction",
   "zh": "像素级抓取可供性预测",
   "level": "l3"
  },
  "CAP_80469453": {
   "en": "Place Affordance Prediction",
   "zh": "放置可供性预测",
   "level": "l3"
  },
  "CAP_0c7d40b5": {
   "en": "Action Parameter Generation",
   "zh": "动作参数生成",
   "level": "l3"
  },
  "CAP_d6b30cbb": {
   "en": "Grasp Quality Assessment",
   "zh": "抓取质量评估",
   "level": "l3"
  },
  "CAP_b33ff11a": {
   "en": "Closed-loop Visual Servoing Grasp",
   "zh": "闭环视觉伺服抓取",
   "level": "l3"
  },
  "CAP_de42c7b2": {
   "en": "Execution Result Judgment",
   "zh": "执行结果判断",
   "level": "l3"
  },
  "CAP_b87e877f": {
   "en": "Self-supervised Grasp Data Collection",
   "zh": "自监督抓取数据收集",
   "level": "l3"
  },
  "CAP_b20c619c": {
   "en": "Sim-to-Real Grasp Transfer",
   "zh": "仿真到真实抓取迁移",
   "level": "l3"
  },
  "CAP_c9fcd8c9": {
   "en": "Scene Encoding and Action Parameterization",
   "zh": "场景编码与动作参数化",
   "level": "l2"
  },
  "CAP_76f4e42e": {
   "en": "Scene Encoding",
   "zh": "场景编码",
   "level": "l3"
  },
  "CAP_e71cd9b9": {
   "en": "Action Parameterization",
   "zh": "动作参数化",
   "level": "l3"
  },
  "CAP_30199d09": {
   "en": "Generative Future State Prediction",
   "zh": "生成式未来状态预测",
   "level": "l3"
  },
  "CAP_d78cda43": {
   "en": "Conditional Diffusion Generation",
   "zh": "条件扩散生成",
   "level": "l3"
  },
  "CAP_cf4a1555": {
   "en": "Physics-aware Generation Refinement",
   "zh": "物理感知生成细化",
   "level": "l3"
  },
  "CAP_a1a7223e": {
   "en": "Affordance Scoring from Generation Quality",
   "zh": "基于生成质量的可供性评分",
   "level": "l3"
  },
  "CAP_bdaadfd9": {
   "en": "Online Residual Correction",
   "zh": "在线残差修正",
   "level": "l3"
  },
  "CAP_3fe51c7d": {
   "en": "Real Robot Execution",
   "zh": "真实机器人执行",
   "level": "l3"
  },
  "CAP_6ea8962d": {
   "en": "Task-Conditioned Affordance Localization",
   "zh": "任务条件化可供性定位",
   "level": "l3"
  },
  "CAP_cccaa9b0": {
   "en": "Affordance Region Instantiation",
   "zh": "可供性区域实例化",
   "level": "l3"
  },
  "CAP_416e6e17": {
   "en": "Affordance-to-Symbolic State Mapping",
   "zh": "可供性到符号状态映射",
   "level": "l3"
  },
  "CAP_6ccfc918": {
   "en": "Open-Vocabulary Task Planning with Affordance",
   "zh": "开放词汇可供性任务规划",
   "level": "l3"
  },
  "CAP_013506eb": {
   "en": "Multimodal Data Acquisition and Synchronization",
   "zh": "多模态数据采集与同步",
   "level": "l3"
  },
  "CAP_cef01758": {
   "en": "Multimodal Signal Preprocessing",
   "zh": "多模态信号预处理",
   "level": "l3"
  },
  "CAP_6a99befb": {
   "en": "Cross-modal Transformer Reconstruction",
   "zh": "跨模态Transformer重建",
   "level": "l3"
  },
  "CAP_d3399a83": {
   "en": "Multimodal Anomaly Scoring",
   "zh": "多模态异常评分",
   "level": "l3"
  },
  "CAP_bd8fca58": {
   "en": "Adaptive Threshold Decision",
   "zh": "自适应阈值决策",
   "level": "l3"
  },
  "CAP_48104eb8": {
   "en": "STGNN Spatial Graph Construction",
   "zh": "STGNN空间图构建",
   "level": "l3"
  },
  "CAP_86e8d801": {
   "en": "STGNN Temporal Graph Sequence",
   "zh": "STGNN时序图序列构建",
   "level": "l3"
  },
  "CAP_a7041c92": {
   "en": "STGNN Encoder Anomaly Detector",
   "zh": "STGNN编码器异常检测",
   "level": "l3"
  },
  "CAP_13a7b054": {
   "en": "STGNN Anomaly Scoring",
   "zh": "STGNN异常评分",
   "level": "l3"
  },
  "CAP_ba4185ce": {
   "en": "STGNN Anomaly Decision",
   "zh": "STGNN异常判定",
   "level": "l3"
  },
  "CAP_96d9cd25": {
   "en": "STGNN Model Training Pipeline",
   "zh": "STGNN模型训练流水线",
   "level": "l3"
  },
  "CAP_b5fb09e0": {
   "en": "VLM Task Parsing",
   "zh": "VLM任务解析",
   "level": "l3"
  },
  "CAP_9cb48ecf": {
   "en": "VLM Scene State Encoding",
   "zh": "VLM场景状态编码",
   "level": "l3"
  },
  "CAP_a561490e": {
   "en": "VLM Precondition Check",
   "zh": "VLM前置条件检查",
   "level": "l3"
  },
  "CAP_897a0b71": {
   "en": "VLM Effect Validation",
   "zh": "VLM效果验证",
   "level": "l3"
  },
  "CAP_a5daae2b": {
   "en": "VLM Anomaly Classification",
   "zh": "VLM异常分类",
   "level": "l3"
  },
  "CAP_bbb64662": {
   "en": "Point Cloud Sampling and Normalization",
   "zh": "点云采样与归一化",
   "level": "l3"
  },
  "CAP_c755c802": {
   "en": "Grasp Quality Scoring",
   "zh": "抓取质量评分",
   "level": "l3"
  },
  "CAP_4226d6c2": {
   "en": "Collision-aware Grasp Filtering",
   "zh": "碰撞感知抓取过滤",
   "level": "l3"
  },
  "CAP_c3fed190": {
   "en": "Grasp Pose Refinement",
   "zh": "抓取姿态精化",
   "level": "l3"
  },
  "CAP_f4de8cea": {
   "en": "VLM Scene-Text Encoding",
   "zh": "视觉-语言场景文本编码",
   "level": "l3"
  },
  "CAP_0ad459a7": {
   "en": "Task-Conditioned Affordance Inference",
   "zh": "任务条件化可供性推理",
   "level": "l3"
  },
  "CAP_e92c3168": {
   "en": "Affordance-Guided Grasp Proposal",
   "zh": "可供性引导的抓取候选生成",
   "level": "l3"
  },
  "CAP_9ac7c903": {
   "en": "Task-Grasp Consistency Scoring",
   "zh": "任务-抓取一致性评分",
   "level": "l3"
  },
  "CAP_2fa9d402": {
   "en": "Closed-Loop Task Verification",
   "zh": "闭环任务验证",
   "level": "l3"
  },
  "CAP_38466742": {
   "en": "Task Driven Grasp Proposal",
   "zh": "任务驱动抓取提议生成",
   "level": "l2"
  },
  "CAP_82f6e017": {
   "en": "Closed Loop Verification",
   "zh": "闭环验证与执行",
   "level": "l2"
  },
  "CAP_1d093513": {
   "en": "Planning Problem Graph Construction",
   "zh": "规划问题图构建",
   "level": "l2"
  },
  "CAP_6bf7d05c": {
   "en": "PDDL to Landmark Graph",
   "zh": "PDDL 到路标图转换",
   "level": "l3"
  },
  "CAP_41a460f4": {
   "en": "GNN Landmark Encoder",
   "zh": "GNN 路标编码器",
   "level": "l3"
  },
  "CAP_99afe7af": {
   "en": "SoftSort Subgoal Ordering",
   "zh": "SoftSort 子目标排序",
   "level": "l3"
  },
  "CAP_a4cc5038": {
   "en": "Landmark Ordering Heuristic",
   "zh": "路标排序启发式",
   "level": "l3"
  },
  "CAP_7a88fc68": {
   "en": "GNN Subgoal Policy",
   "zh": "GNN 子目标策略",
   "level": "l3"
  },
  "CAP_dbb2ee6b": {
   "en": "LLM Task Grounding",
   "zh": "LLM 任务解析与增强",
   "level": "l3"
  },
  "CAP_6ffe7bc4": {
   "en": "LLM Landmark Generation",
   "zh": "LLM 地标候选生成",
   "level": "l3"
  },
  "CAP_ee7ff290": {
   "en": "LLM Landmark Ordering",
   "zh": "LLM 地标排序与关系抽取",
   "level": "l3"
  },
  "CAP_d2302a67": {
   "en": "Landmark PDDL Grounding",
   "zh": "地标 PDDL 映射与形式化",
   "level": "l3"
  },
  "CAP_6c4d17c2": {
   "en": "Sensor Preprocessing and State Representation",
   "zh": "传感器预处理与状态表征",
   "level": "l2"
  },
  "CAP_ffe7916d": {
   "en": "State Representation",
   "zh": "状态表征构建",
   "level": "l3"
  },
  "CAP_0123254d": {
   "en": "Policy Inference and Action Execution",
   "zh": "策略推理与动作执行",
   "level": "l2"
  },
  "CAP_1cc84f75": {
   "en": "Reward Computation",
   "zh": "奖励计算",
   "level": "l3"
  },
  "CAP_282a15c5": {
   "en": "Implicit Spatial Encoding",
   "zh": "隐式空间编码",
   "level": "l3"
  },
  "CAP_3c787a0c": {
   "en": "Non-Euclidean Spatial Memory",
   "zh": "非欧空间记忆",
   "level": "l2"
  },
  "CAP_62704f29": {
   "en": "Graph-based Spatial Memory",
   "zh": "基于图的空间记忆",
   "level": "l3"
  },
  "CAP_229fa5a4": {
   "en": "Hyperdimensional Spatial Reasoning",
   "zh": "超维空间推理",
   "level": "l3"
  },
  "CAP_30996730": {
   "en": "Differentiable Memory Read-Write",
   "zh": "可微分记忆读写",
   "level": "l3"
  },
  "CAP_52254890": {
   "en": "Implicit Spatial Reasoning",
   "zh": "隐式空间推理",
   "level": "l2"
  },
  "CAP_5c58cd50": {
   "en": "Implicit Field Navigation",
   "zh": "隐式场导航",
   "level": "l3"
  },
  "CAP_6186ebf7": {
   "en": "Policy Decoding and Execution",
   "zh": "策略解码与执行",
   "level": "l3"
  },
  "CAP_ebfadeb2": {
   "en": "Semantic Landmark Graph Construction",
   "zh": "语义地标图构建",
   "level": "l3"
  },
  "CAP_ed052db6": {
   "en": "VLM Direct Action Inference",
   "zh": "VLM直接动作推理",
   "level": "l3"
  },
  "CAP_585d6f7e": {
   "en": "Meta-Policy Pretraining",
   "zh": "元策略预训练",
   "level": "l2"
  },
  "CAP_3fcc84e8": {
   "en": "Terrain Distribution Sampling",
   "zh": "地形分布采样",
   "level": "l3"
  },
  "CAP_218aacf9": {
   "en": "Privileged Information Distillation",
   "zh": "特权信息蒸馏",
   "level": "l3"
  },
  "CAP_8e674eb3": {
   "en": "Online Adaptation Gradient Step",
   "zh": "在线适应梯度步",
   "level": "l3"
  },
  "CAP_2a3a4016": {
   "en": "Terrain-Aware Gait Generation",
   "zh": "地形感知步态生成",
   "level": "l3"
  },
  "CAP_256cba3e": {
   "en": "Proprioceptive History Buffering",
   "zh": "本体感觉历史缓冲",
   "level": "l3"
  },
  "CAP_31db27da": {
   "en": "Environment Factor Inference",
   "zh": "环境因子推断",
   "level": "l3"
  },
  "CAP_f5d5548f": {
   "en": "Nominal Model Deployment",
   "zh": "名义模型部署",
   "level": "l3"
  },
  "CAP_887731c0": {
   "en": "Feedforward and Feedback Controller Setup",
   "zh": "前馈与反馈控制器配置",
   "level": "l3"
  },
  "CAP_30a99551": {
   "en": "Online Residual Model Update",
   "zh": "在线残差模型更新",
   "level": "l3"
  },
  "CAP_89715ee6": {
   "en": "Neural Adaptive Online Uncertainty Estimation",
   "zh": "神经自适应在线不确定性估计",
   "level": "l3"
  },
  "CAP_ad2c3061": {
   "en": "CBF Safety Filter QP",
   "zh": "控制屏障函数安全滤波",
   "level": "l3"
  },
  "CAP_b6faac09": {
   "en": "Sliding Mode Robust Compensation",
   "zh": "滑模鲁棒补偿",
   "level": "l3"
  },
  "CAP_5b020755": {
   "en": "Incremental Real-Time Learning",
   "zh": "实时增量学习引擎",
   "level": "l3"
  },
  "CAP_0bc6d2ca": {
   "en": "Conformal Uncertainty Bound Calibration",
   "zh": "共形预测不确定性边界",
   "level": "l3"
  },
  "CAP_76cf72f0": {
   "en": "Fault Scene Multimodal Capture",
   "zh": "故障场景多模态捕获",
   "level": "l3"
  },
  "CAP_edfd65c3": {
   "en": "VLM Fault Semantic Extraction",
   "zh": "VLM故障语义提取",
   "level": "l3"
  },
  "CAP_1883e43b": {
   "en": "Fault Mode Generalization",
   "zh": "故障模式泛化",
   "level": "l3"
  },
  "CAP_c69dd54b": {
   "en": "Repair Case Knowledge Graph Management",
   "zh": "修复案例知识图谱管理",
   "level": "l3"
  },
  "CAP_629ff84a": {
   "en": "Plan Robustness Injection",
   "zh": "规划鲁棒性增强注入",
   "level": "l3"
  },
  "CAP_34b9a0e1": {
   "en": "Intervention Demonstration Collection",
   "zh": "干预示范数据采集",
   "level": "l3"
  },
  "CAP_80351926": {
   "en": "Repair Demonstration Preprocessing",
   "zh": "修复示范数据预处理",
   "level": "l3"
  },
  "CAP_3cb2adf0": {
   "en": "Repair Policy Validation",
   "zh": "修复策略验证",
   "level": "l3"
  },
  "CAP_4fb9e2c0": {
   "en": "Continuous Policy Improvement",
   "zh": "持续策略改进",
   "level": "l3"
  },
  "CAP_b92c1016": {
   "en": "Failure Repair Case Extractor",
   "zh": "故障修复案例提取器",
   "level": "l3"
  },
  "CAP_72d6de39": {
   "en": "Failure Mode Clusterer",
   "zh": "故障模式聚类器",
   "level": "l3"
  },
  "CAP_b04f4435": {
   "en": "Repair Strategy Utility Evaluator",
   "zh": "修复策略效用评估器",
   "level": "l3"
  },
  "CAP_04a1dd7e": {
   "en": "Planner Knowledge Augmenter",
   "zh": "规划器知识增强器",
   "level": "l3"
  },
  "CAP_943a82e9": {
   "en": "Initial Task Planning",
   "zh": "初始任务规划",
   "level": "l3"
  },
  "CAP_896b4b15": {
   "en": "Robot Execution and Observation",
   "zh": "机器人执行与观察",
   "level": "l3"
  },
  "CAP_9814c7a1": {
   "en": "VLM-based Deviation Detection",
   "zh": "基于VLM的偏差检测",
   "level": "l3"
  },
  "CAP_77e81d40": {
   "en": "VLM Confidence-aware Reflection",
   "zh": "VLM置信度感知反思",
   "level": "l3"
  },
  "CAP_faf80954": {
   "en": "Episodic Memory and Retrieval",
   "zh": "情景记忆与检索",
   "level": "l3"
  },
  "CAP_66ca188f": {
   "en": "Experience-augmented Replanning",
   "zh": "经验增强重规划",
   "level": "l3"
  },
  "CAP_9703f6db": {
   "en": "Cross-task Policy Refinement",
   "zh": "跨任务策略提炼",
   "level": "l3"
  },
  "CAP_650a3b9b": {
   "en": "Diffusion Action Manifold Learning",
   "zh": "扩散动作流形学习",
   "level": "l3"
  },
  "CAP_38f859c9": {
   "en": "Implicit Manifold Correction",
   "zh": "隐式流形修正",
   "level": "l3"
  },
  "CAP_6f5f53e0": {
   "en": "Correction Experience DPO Finetuning",
   "zh": "纠正经验DPO微调",
   "level": "l3"
  },
  "CAP_95a81047": {
   "en": "OOD Detection for Diffusion Policy",
   "zh": "扩散策略分布外检测",
   "level": "l3"
  },
  "CAP_b7a3ff0f": {
   "en": "Affordance Verification",
   "zh": "可行性校验",
   "level": "l3"
  },
  "CAP_6a3f954e": {
   "en": "Protocol Adaptation",
   "zh": "协议适配",
   "level": "l3"
  },
  "CAP_0bb73c5c": {
   "en": "Action Tokenization/Detokenization",
   "zh": "动作token化与反token化",
   "level": "l3"
  },
  "CAP_d70a7090": {
   "en": "End-to-End Training and Alignment",
   "zh": "端到端训练与对齐",
   "level": "l3"
  },
  "CAP_25048ad9": {
   "en": "Calibration Parameter Loading",
   "zh": "标定参数加载",
   "level": "l3"
  },
  "CAP_df9f445e": {
   "en": "Temporal Synchronization Lidar Camera",
   "zh": "激光雷达相机时间同步",
   "level": "l3"
  },
  "CAP_d78c23f3": {
   "en": "Point Cloud Projection Painting",
   "zh": "点云投影着色",
   "level": "l3"
  },
  "CAP_157d2659": {
   "en": "3D Object Detection",
   "zh": "3D 目标检测",
   "level": "l3"
  },
  "CAP_9bf1aad6": {
   "en": "BEV Projection Alignment",
   "zh": "BEV投影对齐",
   "level": "l3"
  },
  "CAP_d6c45c1a": {
   "en": "BEV Bidirectional Fusion",
   "zh": "BEV双向融合",
   "level": "l3"
  },
  "CAP_14d3443b": {
   "en": "Fusion Descriptor Generation",
   "zh": "融合描述符生成",
   "level": "l3"
  },
  "CAP_d8aed68f": {
   "en": "LiDAR Scan Sequence Acquisition",
   "zh": "激光雷达扫描序列采集",
   "level": "l3"
  },
  "CAP_eb3a7360": {
   "en": "iSAM2 Incremental Factor Graph Optimization",
   "zh": "iSAM2增量因子图优化",
   "level": "l3"
  },
  "CAP_3903adc8": {
   "en": "LiDAR-Camera Spatiotemporal Calibration",
   "zh": "激光雷达-摄像头时空标定",
   "level": "l3"
  },
  "CAP_f5a58d9b": {
   "en": "LiDAR-based 3D Semantic Segmentation",
   "zh": "基于激光雷达的3D语义分割",
   "level": "l3"
  },
  "CAP_75d0c4ce": {
   "en": "2D Image Semantic Segmentation",
   "zh": "2D图像语义分割",
   "level": "l3"
  },
  "CAP_87c182cb": {
   "en": "Cross-modal Probabilistic Fusion",
   "zh": "跨模态概率融合",
   "level": "l3"
  },
  "CAP_1266cf2e": {
   "en": "Semantic Occupancy Grid Update",
   "zh": "语义占据栅格更新",
   "level": "l3"
  },
  "CAP_43f3a602": {
   "en": "Open Vocabulary Unknown Discovery",
   "zh": "开放词汇未知发现",
   "level": "l3"
  },
  "CAP_a1dffc46": {
   "en": "LiDAR Supervised NeRF Training",
   "zh": "LiDAR 监督神经辐射场训练",
   "level": "l3"
  },
  "CAP_5e1216cc": {
   "en": "Gaussian Splatting LiDAR Initialization",
   "zh": "LiDAR 初始化高斯泼溅",
   "level": "l3"
  },
  "CAP_52920742": {
   "en": "Neural SDF Fusion",
   "zh": "神经符号距离场融合",
   "level": "l3"
  },
  "CAP_b9254d6e": {
   "en": "LiDAR Simulation from Implicit Field",
   "zh": "隐式场 LiDAR 仿真",
   "level": "l3"
  },
  "CAP_8dfd304b": {
   "en": "Geometry Feature Decoding",
   "zh": "几何特征解码",
   "level": "l3"
  },
  "CAP_df7e1e4b": {
   "en": "Voxelization and Sparse Convolution Pipeline",
   "zh": "体素化与稀疏卷积流水线",
   "level": "l2"
  },
  "CAP_2cbbc5f7": {
   "en": "Point Cloud Preprocessing and Block Partitioning",
   "zh": "点云预处理与块划分",
   "level": "l3"
  },
  "CAP_5c6ad240": {
   "en": "Point Transformer Feature Encoding",
   "zh": "Point Transformer特征编码",
   "level": "l3"
  },
  "CAP_b0effd03": {
   "en": "Point Transformer Feature Decoding",
   "zh": "Point Transformer特征解码",
   "level": "l3"
  },
  "CAP_f5d67833": {
   "en": "Point Transformer Multiscale Aggregation",
   "zh": "Point Transformer多尺度特征聚合",
   "level": "l3"
  },
  "CAP_0af4340e": {
   "en": "Point Cloud Self-Supervised Pretraining",
   "zh": "点云自监督预训练",
   "level": "l3"
  },
  "CAP_f07296a0": {
   "en": "Point Cloud Contrastive Pretraining",
   "zh": "点云对比学习预训练",
   "level": "l3"
  },
  "CAP_67a257a8": {
   "en": "Point Cloud Masked Autoencoder Pretraining",
   "zh": "点云掩码自编码预训练",
   "level": "l3"
  },
  "CAP_b5898928": {
   "en": "Point Cloud Temporal Consistency Pretraining",
   "zh": "点云时空一致性预训练",
   "level": "l3"
  },
  "CAP_1b37020d": {
   "en": "Point Cloud Feature Fine-Tuning",
   "zh": "点云特征微调",
   "level": "l3"
  },
  "CAP_ea012715": {
   "en": "Point Cloud Feature Inference Engine",
   "zh": "点云特征推理引擎",
   "level": "l3"
  },
  "CAP_484ba2ac": {
   "en": "Tightly-coupled Scan Matching",
   "zh": "紧耦合扫描匹配",
   "level": "l3"
  },
  "CAP_338c5168": {
   "en": "Degradation-aware LIO Optimization",
   "zh": "退化感知LIO优化",
   "level": "l3"
  },
  "CAP_11725e5b": {
   "en": "Local Mapping",
   "zh": "局部建图",
   "level": "l3"
  },
  "CAP_0da29265": {
   "en": "Incremental Occupancy Grid Update",
   "zh": "增量占据网格更新",
   "level": "l3"
  },
  "CAP_8a65d691": {
   "en": "DWA Local Trajectory Optimization",
   "zh": "DWA局部轨迹优化",
   "level": "l3"
  },
  "CAP_5587b513": {
   "en": "TEB Local Trajectory Optimization",
   "zh": "TEB局部轨迹优化",
   "level": "l3"
  },
  "CAP_d29e8c7c": {
   "en": "Collision Detection and Recovery",
   "zh": "碰撞检测与恢复",
   "level": "l3"
  },
  "CAP_b4a18eef": {
   "en": "Grid Projection and Indexing",
   "zh": "栅格投影与索引",
   "level": "l3"
  },
  "CAP_440ab7d9": {
   "en": "Geometric Prior Feature Extraction",
   "zh": "几何先验特征提取",
   "level": "l3"
  },
  "CAP_1b9b26bc": {
   "en": "Ground Label Classification",
   "zh": "地面标签分类",
   "level": "l3"
  },
  "CAP_48d39caa": {
   "en": "Ground Plane Constraint Generation",
   "zh": "地面平面约束生成",
   "level": "l3"
  },
  "CAP_c36fc5a9": {
   "en": "Adaptive Threshold Estimation",
   "zh": "自适应阈值估计",
   "level": "l3"
  },
  "CAP_92facbfb": {
   "en": "Multi-channel Feature Extraction",
   "zh": "多通道特征提取",
   "level": "l3"
  },
  "CAP_1fb980c3": {
   "en": "CNN Ground Segmentation",
   "zh": "CNN 地面分割",
   "level": "l3"
  },
  "CAP_c40656e7": {
   "en": "Raywise Ground Likelihood Estimation",
   "zh": "射线地面似然估计",
   "level": "l3"
  },
  "CAP_c4c2974b": {
   "en": "Manifold Ground Fitting",
   "zh": "流形地面拟合",
   "level": "l3"
  },
  "CAP_aeb953d2": {
   "en": "Segmentation Quality Adaptation",
   "zh": "分割质量自适应",
   "level": "l3"
  },
  "CAP_954cbaf8": {
   "en": "Leg Pattern Detection",
   "zh": "腿部模式检测",
   "level": "l3"
  },
  "CAP_5e36b525": {
   "en": "Mahalanobis Gating Association",
   "zh": "马氏距离门限关联",
   "level": "l3"
  },
  "CAP_caa688f6": {
   "en": "Constant Velocity KF Tracking",
   "zh": "恒速卡尔曼滤波跟踪",
   "level": "l3"
  },
  "CAP_6678d310": {
   "en": "Voxel-CenterPoint Detection",
   "zh": "体素化CenterPoint检测",
   "level": "l2"
  },
  "CAP_0bbe0ead": {
   "en": "CenterPoint Detection",
   "zh": "CenterPoint检测",
   "level": "l3"
  },
  "CAP_e1343fe7": {
   "en": "Detection-Centric Tracking",
   "zh": "检测中心化跟踪",
   "level": "l2"
  },
  "CAP_7df6a8fe": {
   "en": "Keyframe Selection and Filtering",
   "zh": "关键帧选择与滤波",
   "level": "l3"
  },
  "CAP_c649ec10": {
   "en": "FPFH Feature Extraction",
   "zh": "FPFH特征提取",
   "level": "l3"
  },
  "CAP_dca07527": {
   "en": "BoW Vocabulary Construction and Retrieval",
   "zh": "词袋模型构建与检索",
   "level": "l3"
  },
  "CAP_97c3e898": {
   "en": "Loop Constraint Generation",
   "zh": "回环约束生成",
   "level": "l3"
  },
  "CAP_dbad1cc1": {
   "en": "Descriptor Database Retrieval",
   "zh": "描述符数据库检索",
   "level": "l3"
  },
  "CAP_2e5491ea": {
   "en": "LiDAR Multiview Projection",
   "zh": "点云多视角投影",
   "level": "l3"
  },
  "CAP_983af4ae": {
   "en": "CLIP LiDAR Global Descriptor",
   "zh": "CLIP激光全局描述符",
   "level": "l3"
  },
  "CAP_dbb34d8c": {
   "en": "LoRA Finetuned LiDAR CLIP",
   "zh": "LoRA微调激光CLIP",
   "level": "l3"
  },
  "CAP_7b4763f8": {
   "en": "DINOv2 Local Geometric Verification",
   "zh": "DINOv2局部几何验证",
   "level": "l3"
  },
  "CAP_3b35c617": {
   "en": "SAM Spatial Mask Verification",
   "zh": "SAM空间掩码验证",
   "level": "l3"
  },
  "CAP_a4677b56": {
   "en": "Multimodal Semantic Fusion",
   "zh": "多模态语义融合",
   "level": "l3"
  },
  "CAP_9f5bd50f": {
   "en": "NDT Map Construction",
   "zh": "NDT地图构建",
   "level": "l3"
  },
  "CAP_02b85748": {
   "en": "NDT Pose Validation",
   "zh": "NDT位姿验证",
   "level": "l3"
  },
  "CAP_50721ffe": {
   "en": "NDT Dynamic Map Update",
   "zh": "NDT动态地图更新",
   "level": "l3"
  },
  "CAP_8165374a": {
   "en": "NDT Degeneracy Handling",
   "zh": "NDT退化处理",
   "level": "l3"
  },
  "CAP_250e5b9a": {
   "en": "Feature Map Loading and Indexing",
   "zh": "特征地图加载与索引构建",
   "level": "l3"
  },
  "CAP_8fa595fb": {
   "en": "Real-time Feature Extraction",
   "zh": "实时扫描特征提取",
   "level": "l3"
  },
  "CAP_d0b83c9b": {
   "en": "Feature Correspondence Matching",
   "zh": "特征对应匹配",
   "level": "l3"
  },
  "CAP_5750dfba": {
   "en": "Point-to-Feature Error Optimization",
   "zh": "点到特征距离误差构建与位姿优化",
   "level": "l3"
  },
  "CAP_a04cc156": {
   "en": "Degeneracy Detection and Confidence",
   "zh": "退化检测与置信度评估",
   "level": "l3"
  },
  "CAP_899dc99e": {
   "en": "Deep Point Cloud Representation Learning",
   "zh": "深度点云表示学习",
   "level": "l3"
  },
  "CAP_6ed144da": {
   "en": "Deep Global Descriptor Extraction",
   "zh": "深度全局描述子提取",
   "level": "l3"
  },
  "CAP_704d8472": {
   "en": "Learned Map Retrieval",
   "zh": "学习型地图检索",
   "level": "l3"
  },
  "CAP_c0f3335b": {
   "en": "End-to-End Pose Regression",
   "zh": "端到端位姿回归",
   "level": "l3"
  },
  "CAP_2fb04639": {
   "en": "Uncertainty-Aware Pose Estimation",
   "zh": "不确定性感知位姿估计",
   "level": "l3"
  },
  "CAP_814efb6f": {
   "en": "Coarse-to-Fine Scan Matching",
   "zh": "由粗到精扫描匹配",
   "level": "l3"
  },
  "CAP_4b287f9e": {
   "en": "Degradation Detection and Handling",
   "zh": "退化检测与处理",
   "level": "l3"
  },
  "CAP_d4daa0d6": {
   "en": "Point Cloud Preprocessing and Feature Extraction",
   "zh": "点云预处理与特征提取",
   "level": "l2"
  },
  "CAP_f595ef23": {
   "en": "Sparse Voxel Feature Extraction",
   "zh": "稀疏体素特征提取",
   "level": "l3"
  },
  "CAP_9b4105e6": {
   "en": "Feature Matching and Pose Regression",
   "zh": "特征匹配与位姿回归",
   "level": "l2"
  },
  "CAP_87a9ee61": {
   "en": "Coarse-to-Fine Point Matching",
   "zh": "由粗到精点云匹配",
   "level": "l3"
  },
  "CAP_290850f5": {
   "en": "E2E Pose Regression",
   "zh": "端到端位姿回归",
   "level": "l3"
  },
  "CAP_6afe297a": {
   "en": "Iterative Refinement and Loss Supervision",
   "zh": "迭代优化与损失监督",
   "level": "l2"
  },
  "CAP_6aeefae1": {
   "en": "Self-Supervised Geometric Loss",
   "zh": "自监督几何损失",
   "level": "l3"
  },
  "CAP_26761e6b": {
   "en": "IMU-Centric State Prediction",
   "zh": "IMU中心状态预测",
   "level": "l3"
  },
  "CAP_2ab5d279": {
   "en": "Iterative Point-Plane Residual Update",
   "zh": "迭代点面残差更新",
   "level": "l3"
  },
  "CAP_c21f77fe": {
   "en": "Dynamic Local Map Maintenance",
   "zh": "动态局部地图维护",
   "level": "l3"
  },
  "CAP_ddbfde7c": {
   "en": "Feature Extraction Lidar",
   "zh": "激光点云边缘/平面特征提取",
   "level": "l3"
  },
  "CAP_a995c6a8": {
   "en": "Scan-to-Scan Odometry",
   "zh": "帧间特征匹配里程计",
   "level": "l3"
  },
  "CAP_5f8043b9": {
   "en": "Local Feature Map Management",
   "zh": "局部特征地图构建与下采样",
   "level": "l3"
  },
  "CAP_59125649": {
   "en": "Dual-Thread Pose Fusion",
   "zh": "双线程位姿融合",
   "level": "l3"
  },
  "CAP_ab08a08c": {
   "en": "Trajectory and Map Output",
   "zh": "轨迹与地图输出",
   "level": "l3"
  },
  "CAP_7cdc66fd": {
   "en": "IMU Preintegration with Bias Correction",
   "zh": "IMU预积分与零偏校正",
   "level": "l3"
  },
  "CAP_10d7c3de": {
   "en": "Direct LiDAR-Inertial Odometry",
   "zh": "紧耦合直接法激光-惯性里程计",
   "level": "l2"
  },
  "CAP_5e066c56": {
   "en": "Direct Scan-to-Submap Registration",
   "zh": "直接法点云到子图配准",
   "level": "l3"
  },
  "CAP_52863b13": {
   "en": "Sliding Window Tightly Coupled Optimization",
   "zh": "滑动窗口紧耦合优化",
   "level": "l3"
  },
  "CAP_009edd45": {
   "en": "Adaptive Submap Management",
   "zh": "自适应子图管理",
   "level": "l3"
  },
  "CAP_e91c82e4": {
   "en": "Degeneracy Detection",
   "zh": "退化检测",
   "level": "l3"
  },
  "CAP_30270e5a": {
   "en": "Multi-Sensor Factor Graph Construction",
   "zh": "多源因子图构建",
   "level": "l3"
  },
  "CAP_bbc47c9d": {
   "en": "Robust Optimization with Outlier Rejection",
   "zh": "鲁棒优化与异常值剔除",
   "level": "l3"
  },
  "CAP_edfdb0f3": {
   "en": "Sliding Window Marginalization",
   "zh": "滑动窗口边缘化",
   "level": "l3"
  },
  "CAP_ead0ba32": {
   "en": "Large-Scale Robust Pose Graph Optimization",
   "zh": "大规模鲁棒位姿图优化",
   "level": "l2"
  },
  "CAP_440b1cd8": {
   "en": "Robust Kernel Selection",
   "zh": "鲁棒核函数选择",
   "level": "l3"
  },
  "CAP_2edf4e89": {
   "en": "Incremental Solving (iSAM2)",
   "zh": "增量式求解（iSAM2）",
   "level": "l3"
  },
  "CAP_bfae4361": {
   "en": "Hierarchical Submap Optimization",
   "zh": "分层子图优化",
   "level": "l3"
  },
  "CAP_20aa8460": {
   "en": "Outlier Loop Closure Rejection",
   "zh": "外点闭环剔除",
   "level": "l3"
  },
  "CAP_64fd52b2": {
   "en": "Learned Feature Extraction (L3)",
   "zh": "学习型特征提取（L3）",
   "level": "l3"
  },
  "CAP_7e825724": {
   "en": "Learned Constraint Generation",
   "zh": "学习型约束生成",
   "level": "l3"
  },
  "CAP_1319d376": {
   "en": "Learned Constraint Generation (L3)",
   "zh": "学习型约束生成（L3）",
   "level": "l3"
  },
  "CAP_f9acae1b": {
   "en": "Uncertainty-Aware Loop Closure",
   "zh": "不确定性感知闭环",
   "level": "l3"
  },
  "CAP_b15c88fb": {
   "en": "Uncertainty-Aware Loop Closure (L3)",
   "zh": "不确定性感知闭环（L3）",
   "level": "l3"
  },
  "CAP_d4d98ffd": {
   "en": "Differentiable Pose Graph Solver",
   "zh": "可微位姿图求解器",
   "level": "l3"
  },
  "CAP_1045b89f": {
   "en": "Differentiable Pose Graph Solver (L3)",
   "zh": "可微位姿图求解器（L3）",
   "level": "l3"
  },
  "CAP_d1223839": {
   "en": "End-to-End Training Loss",
   "zh": "端到端训练损失",
   "level": "l3"
  },
  "CAP_4fd4836d": {
   "en": "End-to-End Training Loss (L3)",
   "zh": "端到端训练损失（L3）",
   "level": "l3"
  },
  "CAP_b3e6c908": {
   "en": "Ray Emission Modeling",
   "zh": "光线发射建模",
   "level": "l3"
  },
  "CAP_9337a493": {
   "en": "Multi Echo Handling",
   "zh": "多回波处理",
   "level": "l3"
  },
  "CAP_c910423e": {
   "en": "Radiometric Intensity Calculation",
   "zh": "辐射度强度计算",
   "level": "l3"
  },
  "CAP_ee623a06": {
   "en": "Sensor Noise Injection",
   "zh": "传感器噪声注入",
   "level": "l3"
  },
  "CAP_bd4ca88f": {
   "en": "Differentiable LiDAR NeRF Rendering",
   "zh": "基于NeRF的可微分LiDAR渲染",
   "level": "l3"
  },
  "CAP_bfddf9b6": {
   "en": "Differentiable LiDAR 3DGS Rendering",
   "zh": "基于3DGS的可微分LiDAR渲染",
   "level": "l3"
  },
  "CAP_01769f2c": {
   "en": "Differentiable LiDAR Waveform Simulation",
   "zh": "可微分全波形LiDAR仿真",
   "level": "l3"
  },
  "CAP_07ccf63a": {
   "en": "Differentiable LiDAR Noise Injection",
   "zh": "可微分LiDAR噪声注入",
   "level": "l3"
  },
  "CAP_5b338c3a": {
   "en": "Differentiable LiDAR Scene Optimization",
   "zh": "可微分LiDAR场景优化",
   "level": "l3"
  },
  "CAP_3c4c7ef4": {
   "en": "Paired Domain Point Cloud Generation",
   "zh": "配对域点云生成",
   "level": "l3"
  },
  "CAP_62b4d805": {
   "en": "Unpaired Domain Adaptation Point Cloud",
   "zh": "非配对域适应点云",
   "level": "l3"
  },
  "CAP_59809780": {
   "en": "Diffusion Based Point Cloud Refinement",
   "zh": "基于扩散的点云细化",
   "level": "l3"
  },
  "CAP_ed103890": {
   "en": "LiDAR Sensor Fingerprint Learning",
   "zh": "LiDAR传感器指纹学习",
   "level": "l3"
  },
  "CAP_ccef5c23": {
   "en": "Sensor Preprocessing and Synchronization",
   "zh": "传感器预处理与同步",
   "level": "l2"
  },
  "CAP_3ae7cd56": {
   "en": "IMU-centric Motion Distortion Correction",
   "zh": "基于IMU的运动畸变校正",
   "level": "l3"
  },
  "CAP_cec22018": {
   "en": "Tightly-coupled LIO State Estimation",
   "zh": "紧耦合LiDAR-惯性状态估计",
   "level": "l3"
  },
  "CAP_dd39bf7c": {
   "en": "LiDAR Point Cloud Registration",
   "zh": "LiDAR点云配准",
   "level": "l3"
  },
  "CAP_4f662d71": {
   "en": "Joint Residual Optimization",
   "zh": "联合残差优化",
   "level": "l3"
  },
  "CAP_fc84e827": {
   "en": "Map Management and Update",
   "zh": "地图管理与更新",
   "level": "l2"
  },
  "CAP_fc41e0ba": {
   "en": "Incremental Map Update",
   "zh": "增量地图更新",
   "level": "l3"
  },
  "CAP_3de1002c": {
   "en": "Degeneracy-aware Robust Optimization",
   "zh": "退化感知鲁棒优化",
   "level": "l3"
  },
  "CAP_6f24963c": {
   "en": "LiDAR-IMU Preprocessing",
   "zh": "LiDAR-IMU 预处理",
   "level": "l2"
  },
  "CAP_a3961a59": {
   "en": "Keyframe Selection and Graph Management",
   "zh": "关键帧选择与图管理",
   "level": "l3"
  },
  "CAP_23cd2e96": {
   "en": "Loop Closure Detection and Verification",
   "zh": "回环检测与验证",
   "level": "l3"
  },
  "CAP_4696378c": {
   "en": "Incremental Pose Graph Optimization",
   "zh": "增量式位姿图优化",
   "level": "l3"
  },
  "CAP_100ffde6": {
   "en": "Global Map Update and Feedback",
   "zh": "全局地图更新与反馈",
   "level": "l3"
  },
  "CAP_e1eeea33": {
   "en": "Descriptor Database Management",
   "zh": "描述子数据库管理",
   "level": "l3"
  },
  "CAP_31b93c5a": {
   "en": "LLM Fault Context Encoding",
   "zh": "LLM故障上下文编码",
   "level": "l3"
  },
  "CAP_6e710462": {
   "en": "LLM Recovery Plan Generation",
   "zh": "LLM恢复计划生成",
   "level": "l3"
  },
  "CAP_c4af830e": {
   "en": "Recovery Plan Validation",
   "zh": "恢复计划验证",
   "level": "l3"
  },
  "CAP_a01d283a": {
   "en": "Recovery Plan Execution with Rollback",
   "zh": "恢复计划执行与回滚",
   "level": "l3"
  },
  "CAP_466d6312": {
   "en": "Case Learning and Library Update",
   "zh": "案例学习与库更新",
   "level": "l3"
  },
  "CAP_51b1aa26": {
   "en": "Fault Detection and Isolation",
   "zh": "故障检测与隔离",
   "level": "l3"
  },
  "CAP_b4f76123": {
   "en": "Safety Pose Hold",
   "zh": "安全姿态保持",
   "level": "l3"
  },
  "CAP_8adf5f54": {
   "en": "Fallen State Estimation",
   "zh": "跌倒状态估计",
   "level": "l3"
  },
  "CAP_25809baa": {
   "en": "Whole-Body Recovery Planning",
   "zh": "全身恢复规划",
   "level": "l3"
  },
  "CAP_f3e62e53": {
   "en": "Lifecycle Coordinated Reactivation",
   "zh": "生命周期协调重激活",
   "level": "l3"
  },
  "CAP_3d400347": {
   "en": "Lifecycle State Machine Definition",
   "zh": "生命周期状态机定义",
   "level": "l3"
  },
  "CAP_0bcfc667": {
   "en": "Lifecycle Callback Registration",
   "zh": "生命周期回调注册",
   "level": "l3"
  },
  "CAP_29702010": {
   "en": "Lifecycle Callback Execution",
   "zh": "生命周期回调执行",
   "level": "l3"
  },
  "CAP_b3650a67": {
   "en": "Lifecycle Callback Return Handling",
   "zh": "生命周期回调返回值处理",
   "level": "l3"
  },
  "CAP_fd06223d": {
   "en": "Lifecycle Error Handling",
   "zh": "生命周期错误处理",
   "level": "l3"
  },
  "CAP_0b4210be": {
   "en": "Lifecycle State Transition",
   "zh": "生命周期状态转移",
   "level": "l3"
  },
  "CAP_da513694": {
   "en": "on configure callback",
   "zh": "配置回调",
   "level": "l3"
  },
  "CAP_84b4fe39": {
   "en": "on activate callback",
   "zh": "激活回调",
   "level": "l3"
  },
  "CAP_1a296580": {
   "en": "on deactivate callback",
   "zh": "停用回调",
   "level": "l3"
  },
  "CAP_1204bd38": {
   "en": "on cleanup callback",
   "zh": "清理回调",
   "level": "l3"
  },
  "CAP_fe9e462c": {
   "en": "on shutdown callback",
   "zh": "关闭回调",
   "level": "l3"
  },
  "CAP_c004279b": {
   "en": "on error callback",
   "zh": "错误回调",
   "level": "l3"
  },
  "CAP_022e7e3f": {
   "en": "Semantic Event Publishing",
   "zh": "语义事件发布",
   "level": "l3"
  },
  "CAP_9e4e6f51": {
   "en": "Task Graph Dynamic Replanning",
   "zh": "任务图动态重规划",
   "level": "l3"
  },
  "CAP_5eea807e": {
   "en": "Error Recovery Event Handling",
   "zh": "错误恢复事件处理",
   "level": "l3"
  },
  "CAP_4ac80632": {
   "en": "Lifecycle Event Logging and Audit",
   "zh": "生命周期事件日志与审计",
   "level": "l3"
  },
  "CAP_7a40135d": {
   "en": "RL Safety Observation Building",
   "zh": "RL 安全观测构建",
   "level": "l3"
  },
  "CAP_9d0bdae8": {
   "en": "RL Hard Safety Guard",
   "zh": "RL 硬安全约束",
   "level": "l3"
  },
  "CAP_62d85c33": {
   "en": "RL Policy Inference (ONNX)",
   "zh": "RL 策略推理 (ONNX)",
   "level": "l3"
  },
  "CAP_b6b95a7e": {
   "en": "RL Intervention Execution",
   "zh": "RL 干预执行",
   "level": "l3"
  },
  "CAP_4c07df9a": {
   "en": "RL Experience Buffer",
   "zh": "RL 经验缓冲区",
   "level": "l3"
  },
  "CAP_82fbc3e1": {
   "en": "RL Online Fine-tuning",
   "zh": "RL 在线微调",
   "level": "l3"
  },
  "CAP_ce2a983a": {
   "en": "Priority-based Shutdown Sequencer",
   "zh": "基于优先级的关断序列生成器",
   "level": "l3"
  },
  "CAP_e158f51f": {
   "en": "Critical State Persistence",
   "zh": "关键状态持久化",
   "level": "l3"
  },
  "CAP_a193721e": {
   "en": "Watchdog-based Timeout Enforcer",
   "zh": "基于看门狗的超时强制器",
   "level": "l3"
  },
  "CAP_c58be3ca": {
   "en": "Distributed E-Stop Broadcaster",
   "zh": "分布式紧急关断广播器",
   "level": "l3"
  },
  "CAP_9560e338": {
   "en": "Graceful Degradation Handler",
   "zh": "优雅降级处理器",
   "level": "l3"
  },
  "CAP_77b1c7f8": {
   "en": "Predictive Energy Budgeting",
   "zh": "预测性能量预算",
   "level": "l3"
  },
  "CAP_487dae4c": {
   "en": "Graceful Degradation Orchestrator",
   "zh": "优雅降级编排器",
   "level": "l3"
  },
  "CAP_3d46e98e": {
   "en": "Thermal Dissipation Sequencer",
   "zh": "热耗散序列控制器",
   "level": "l3"
  },
  "CAP_5db4c668": {
   "en": "Actuator Stress Relief Homing",
   "zh": "执行器应力释放回零",
   "level": "l3"
  },
  "CAP_f1672c12": {
   "en": "Shutdown Energy Auditor",
   "zh": "关闭能耗审计器",
   "level": "l3"
  },
  "CAP_a5b760d1": {
   "en": "Task Context Snapshot",
   "zh": "任务上下文快照",
   "level": "l3"
  },
  "CAP_ee125d37": {
   "en": "Dependency-Aware Rollback",
   "zh": "依赖感知逆序回滚",
   "level": "l3"
  },
  "CAP_840bdefb": {
   "en": "State Persistence on Exit",
   "zh": "退出时状态持久化",
   "level": "l3"
  },
  "CAP_3167ffbc": {
   "en": "Safe Hardware Park",
   "zh": "硬件安全驻停",
   "level": "l3"
  },
  "CAP_1c97d837": {
   "en": "Communication Resource Release",
   "zh": "通信资源释放",
   "level": "l3"
  },
  "CAP_8cf67ca1": {
   "en": "DAG Dependency Parser",
   "zh": "DAG 依赖解析器",
   "level": "l3"
  },
  "CAP_e50ef1a2": {
   "en": "Topological Startup Scheduler",
   "zh": "拓扑启动调度器",
   "level": "l3"
  },
  "CAP_a7fd202c": {
   "en": "Time-Triggered Injector",
   "zh": "时间触发注入器",
   "level": "l3"
  },
  "CAP_8a12c195": {
   "en": "Lifecycle State Validator",
   "zh": "生命周期状态校验器",
   "level": "l3"
  },
  "CAP_549b4335": {
   "en": "Global Readiness Aggregator",
   "zh": "全局就绪聚合器",
   "level": "l3"
  },
  "CAP_dc034a4e": {
   "en": "Startup Graph Parse",
   "zh": "启动图解析",
   "level": "l3"
  },
  "CAP_2ff987f7": {
   "en": "Topological Batch Sort",
   "zh": "拓扑批次排序",
   "level": "l3"
  },
  "CAP_668f9b47": {
   "en": "Lifecycle FSM Driver",
   "zh": "生命周期状态机驱动",
   "level": "l3"
  },
  "CAP_c29ff2a4": {
   "en": "Resilient Retry Handler",
   "zh": "弹性重试处理器",
   "level": "l3"
  },
  "CAP_9252ff03": {
   "en": "Steady State Monitor",
   "zh": "稳态监控器",
   "level": "l3"
  },
  "CAP_736368fe": {
   "en": "Startup Context Probe",
   "zh": "启动上下文探针",
   "level": "l3"
  },
  "CAP_40520835": {
   "en": "Startup Performance Model Learning",
   "zh": "启动性能模型学习",
   "level": "l3"
  },
  "CAP_174ff80a": {
   "en": "Adaptive Launch Planning",
   "zh": "自适应启动规划",
   "level": "l3"
  },
  "CAP_fc8d3cd0": {
   "en": "Managed Lifecycle Execution",
   "zh": "受管生命周期执行",
   "level": "l3"
  },
  "CAP_2b89436a": {
   "en": "Startup Metric Collection",
   "zh": "启动指标采集",
   "level": "l3"
  },
  "CAP_d4f5dd79": {
   "en": "Lifecycle Action Node",
   "zh": "生命周期动作节点",
   "level": "l3"
  },
  "CAP_026715d3": {
   "en": "Lifecycle State Condition",
   "zh": "生命周期状态条件",
   "level": "l3"
  },
  "CAP_8394c7e7": {
   "en": "Modal Switch Orchestrator",
   "zh": "模态切换编排器",
   "level": "l3"
  },
  "CAP_b70d9f26": {
   "en": "Transition Legality Validator",
   "zh": "转换合法性校验器",
   "level": "l3"
  },
  "CAP_4162cde7": {
   "en": "BT HotReload",
   "zh": "行为树热重载",
   "level": "l3"
  },
  "CAP_b56bd615": {
   "en": "Scene Perception and State Estimation",
   "zh": "场景感知与状态估计",
   "level": "l3"
  },
  "CAP_5114d574": {
   "en": "Contact Mode Reasoning",
   "zh": "接触模式推理",
   "level": "l3"
  },
  "CAP_3eebdf7e": {
   "en": "Constrained Motion Planning",
   "zh": "约束运动规划",
   "level": "l3"
  },
  "CAP_f9ee9f6d": {
   "en": "Result Verification and State Update",
   "zh": "结果验证与状态更新",
   "level": "l3"
  },
  "CAP_47f34bf5": {
   "en": "Spatiotemporal Feature Extraction",
   "zh": "时空持久特征提取",
   "level": "l3"
  },
  "CAP_0ce62212": {
   "en": "Experience Map Construction",
   "zh": "时空经验地图构建",
   "level": "l3"
  },
  "CAP_60dd699d": {
   "en": "Cross-time Place Recognition",
   "zh": "跨时段地点识别",
   "level": "l3"
  },
  "CAP_fd94cb57": {
   "en": "Feature Stability Assessment",
   "zh": "特征稳定性评估",
   "level": "l3"
  },
  "CAP_4aa67bda": {
   "en": "Degradation-aware Localization",
   "zh": "退化感知定位",
   "level": "l3"
  },
  "CAP_6312907a": {
   "en": "Neural Field Map Construction",
   "zh": "神经场地图构建",
   "level": "l3"
  },
  "CAP_8efd5097": {
   "en": "Multi-view Image Acquisition",
   "zh": "多视角图像采集",
   "level": "l3"
  },
  "CAP_99a3eba8": {
   "en": "Appearance Conditioned Prediction",
   "zh": "外观条件化预测",
   "level": "l3"
  },
  "CAP_f351fd9d": {
   "en": "Differentiable Pose Alignment",
   "zh": "可微位姿对齐",
   "level": "l3"
  },
  "CAP_fa129ff1": {
   "en": "Initial Pose Acquisition",
   "zh": "初始位姿获取",
   "level": "l3"
  },
  "CAP_022e7b67": {
   "en": "Alignment Confidence Evaluation",
   "zh": "对齐置信度评估",
   "level": "l3"
  },
  "CAP_9fe87671": {
   "en": "Uncertainty-aware Fallback",
   "zh": "不确定性感知回退",
   "level": "l3"
  },
  "CAP_67c66bbf": {
   "en": "Lifelong Neural Field Update",
   "zh": "终身神经场更新",
   "level": "l3"
  },
  "CAP_aca834ae": {
   "en": "Generative Domain Translation Enhancement",
   "zh": "生成式域迁移增强",
   "level": "l3"
  },
  "CAP_40a93f03": {
   "en": "VLM Global Descriptor Extraction",
   "zh": "VLM全局描述符提取",
   "level": "l3"
  },
  "CAP_4ba6fc4b": {
   "en": "Dense VLM Feature Matching",
   "zh": "稠密VLM特征匹配",
   "level": "l3"
  },
  "CAP_21cceeec": {
   "en": "VLM Feature Map Construction",
   "zh": "VLM特征地图构建",
   "level": "l3"
  },
  "CAP_f568b78c": {
   "en": "Cross-modal VLM Localization",
   "zh": "跨模态VLM定位",
   "level": "l3"
  },
  "CAP_054b9f8c": {
   "en": "Degradation Feature Extraction",
   "zh": "退化特征提取",
   "level": "l3"
  },
  "CAP_90722b6e": {
   "en": "Physics-based RUL Estimation",
   "zh": "基于物理模型的剩余使用寿命估计",
   "level": "l3"
  },
  "CAP_a858e3ed": {
   "en": "Degradation Policy Generation",
   "zh": "降级策略生成",
   "level": "l3"
  },
  "CAP_a686b409": {
   "en": "Lifespan-enforced Communication",
   "zh": "基于生命周期的通信保障",
   "level": "l3"
  },
  "CAP_6e85449b": {
   "en": "Degradation Executor with Feedback",
   "zh": "带反馈的降级执行器",
   "level": "l3"
  },
  "CAP_31c685ee": {
   "en": "Degradation Data Generation and Feature Extraction",
   "zh": "退化数据生成与特征提取",
   "level": "l2"
  },
  "CAP_90a96f6e": {
   "en": "Degradation Injection Engine",
   "zh": "退化注入引擎",
   "level": "l3"
  },
  "CAP_95a3d8f3": {
   "en": "Lifespan Feature Extractor",
   "zh": "Lifespan 特征提取器",
   "level": "l3"
  },
  "CAP_7ebccf75": {
   "en": "Target Domain Online Data Collection",
   "zh": "目标域在线数据采集",
   "level": "l2"
  },
  "CAP_cb86c22b": {
   "en": "UDA Degradation Trainer",
   "zh": "无监督域适应退化训练器",
   "level": "l3"
  },
  "CAP_ddd4d83c": {
   "en": "Online Degradation Inference and QoS Adaptation",
   "zh": "在线退化推理与 QoS 调整",
   "level": "l2"
  },
  "CAP_7b1098ff": {
   "en": "Online Degradation Inference",
   "zh": "在线退化推理",
   "level": "l3"
  },
  "CAP_76c5f858": {
   "en": "Lifespan QoS Adapter",
   "zh": "Lifespan QoS 适配器",
   "level": "l3"
  },
  "CAP_63cd2aea": {
   "en": "Structural Reparameterization Training",
   "zh": "结构重参数化训练",
   "level": "l3"
  },
  "CAP_ccea72cf": {
   "en": "Multi-branch Training Block Construction",
   "zh": "多分支训练块构建",
   "level": "l3"
  },
  "CAP_d08c362c": {
   "en": "Structural Reparameterization Fusion",
   "zh": "结构重参数化融合",
   "level": "l3"
  },
  "CAP_1e768b79": {
   "en": "Branch Fusion and Parameter Folding",
   "zh": "分支融合与参数折叠",
   "level": "l3"
  },
  "CAP_002aaa8a": {
   "en": "Minimal Inference Graph Construction",
   "zh": "极简推理图构建",
   "level": "l3"
  },
  "CAP_3e195dc3": {
   "en": "Edge Deployment Optimization",
   "zh": "边缘端部署优化",
   "level": "l3"
  },
  "CAP_9cb3ce91": {
   "en": "Diverse Branch Block",
   "zh": "多样化分支块",
   "level": "l3"
  },
  "CAP_05004814": {
   "en": "Lightweight Hybrid Architecture Inference",
   "zh": "轻量混合架构推理",
   "level": "l3"
  },
  "CAP_bdf00c87": {
   "en": "Multiscale FPN-lite Fusion",
   "zh": "多尺度FPN-lite融合",
   "level": "l3"
  },
  "CAP_5ac3dd93": {
   "en": "Event-Triggered Consensus Initialization",
   "zh": "事件触发共识初始化",
   "level": "l2"
  },
  "CAP_ccde048b": {
   "en": "Event-Triggered Consensus Error Monitoring",
   "zh": "事件触发共识误差监测",
   "level": "l2"
  },
  "CAP_377b46ab": {
   "en": "Local Error Monitoring",
   "zh": "本地误差监测",
   "level": "l3"
  },
  "CAP_8b88dce2": {
   "en": "Trigger Condition Evaluation",
   "zh": "触发条件评估",
   "level": "l3"
  },
  "CAP_5eb23e59": {
   "en": "Silent Hold",
   "zh": "保持静默",
   "level": "l3"
  },
  "CAP_64727ae6": {
   "en": "Event-Triggered State Broadcast",
   "zh": "事件触发状态广播",
   "level": "l3"
  },
  "CAP_f52382be": {
   "en": "Trigger Path Merge",
   "zh": "触发路径合并",
   "level": "l3"
  },
  "CAP_53e6b401": {
   "en": "Event-Triggered Consensus Update",
   "zh": "事件触发共识更新",
   "level": "l2"
  },
  "CAP_c20ecded": {
   "en": "Event-Triggered Linear Consensus Controller",
   "zh": "事件触发线性共识控制器",
   "level": "l3"
  },
  "CAP_00dba10a": {
   "en": "Consensus Reached",
   "zh": "共识达成",
   "level": "l3"
  },
  "CAP_2dfe07b8": {
   "en": "Continue Monitoring",
   "zh": "继续监测",
   "level": "l3"
  },
  "CAP_22d2f988": {
   "en": "Neighbor Topology Construction",
   "zh": "邻居拓扑构建",
   "level": "l3"
  },
  "CAP_563013a9": {
   "en": "MARL Reference Generation",
   "zh": "多智能体强化学习参考生成",
   "level": "l3"
  },
  "CAP_b51b2dd1": {
   "en": "Linear Consensus Iteration",
   "zh": "线性共识迭代",
   "level": "l3"
  },
  "CAP_2801a110": {
   "en": "CBF Safety Projection",
   "zh": "控制屏障函数安全投影",
   "level": "l3"
  },
  "CAP_06cb2328": {
   "en": "Emergency Hover",
   "zh": "紧急悬停",
   "level": "l3"
  },
  "CAP_41d2f9ef": {
   "en": "Low-level Actuation",
   "zh": "底层执行",
   "level": "l3"
  },
  "CAP_6d6c55d5": {
   "en": "Explicit MPC Synthesis",
   "zh": "显式MPC综合",
   "level": "l3"
  },
  "CAP_4aab0ac2": {
   "en": "System Modeling and Linearization",
   "zh": "系统建模与线性化",
   "level": "l3"
  },
  "CAP_28a84bd0": {
   "en": "Explicit MPC Code Generation",
   "zh": "显式MPC代码生成",
   "level": "l3"
  },
  "CAP_5801c1e4": {
   "en": "Point Location Lookup",
   "zh": "点定位查找",
   "level": "l3"
  },
  "CAP_f36af44a": {
   "en": "Affine Control Law Evaluation",
   "zh": "仿射控制律求值",
   "level": "l3"
  },
  "CAP_e835238f": {
   "en": "Whole-Body Dynamics Linearization",
   "zh": "全身动力学线性化",
   "level": "l3"
  },
  "CAP_c7e84ccc": {
   "en": "Contact Sequence QP Formulation",
   "zh": "接触序列QP构建",
   "level": "l3"
  },
  "CAP_f91368c7": {
   "en": "QP-Based GRF Optimization",
   "zh": "基于QP的地面反力优化",
   "level": "l3"
  },
  "CAP_7ef03613": {
   "en": "MPC Warmstart and Failover",
   "zh": "MPC热启动与故障降级",
   "level": "l3"
  },
  "CAP_8fe32cc4": {
   "en": "Domain Randomized Environment Generation for Liquid Pouring",
   "zh": "液体倾倒域随机化环境生成",
   "level": "l3"
  },
  "CAP_558fddac": {
   "en": "Visual Pouring Policy Learning",
   "zh": "视觉倾倒策略学习",
   "level": "l3"
  },
  "CAP_ad5bed00": {
   "en": "Spill Detection and Penalty in Liquid Pouring",
   "zh": "液体倾倒洒漏检测与惩罚",
   "level": "l3"
  },
  "CAP_3e524069": {
   "en": "Sim-to-Real Transfer Evaluator for Liquid Pouring",
   "zh": "液体倾倒仿真到真实迁移评估器",
   "level": "l3"
  },
  "CAP_cc9f9e0c": {
   "en": "Pouring Dynamics Modeling",
   "zh": "倾倒动力学建模",
   "level": "l3"
  },
  "CAP_25970958": {
   "en": "Fluid State Estimation",
   "zh": "流体状态估计",
   "level": "l3"
  },
  "CAP_ffe4ecca": {
   "en": "MPC Pouring Optimization",
   "zh": "倾倒模型预测控制优化",
   "level": "l3"
  },
  "CAP_002b0277": {
   "en": "Pouring Impedance Control",
   "zh": "倾倒阻抗控制",
   "level": "l3"
  },
  "CAP_5ff3aee4": {
   "en": "Online Container Identification",
   "zh": "在线容器辨识",
   "level": "l3"
  },
  "CAP_92664e66": {
   "en": "Interactive Perception for Liquid Pouring",
   "zh": "液体倾倒交互式感知",
   "level": "l3"
  },
  "CAP_e3b7ec59": {
   "en": "Tactile Liquid State Estimation",
   "zh": "触觉液体状态估计",
   "level": "l3"
  },
  "CAP_78b14d46": {
   "en": "Meta-Learning Pouring Policy",
   "zh": "元学习倾倒策略",
   "level": "l3"
  },
  "CAP_63d396fb": {
   "en": "Few-Shot Domain Adaptation",
   "zh": "少样本域适应",
   "level": "l3"
  },
  "CAP_ae680ee9": {
   "en": "Event Stream Preprocessing",
   "zh": "事件流预处理",
   "level": "l3"
  },
  "CAP_54ed968e": {
   "en": "Liquid Surface Event Detection",
   "zh": "液面事件检测",
   "level": "l3"
  },
  "CAP_3e54f3ec": {
   "en": "Liquid Level and Flow Estimation",
   "zh": "液位与流量估计",
   "level": "l3"
  },
  "CAP_bc54c5a3": {
   "en": "Tactile Signal Acquisition and Feature Extraction",
   "zh": "触觉信号采集与特征提取",
   "level": "l3"
  },
  "CAP_63624785": {
   "en": "Multimodal Fusion and State Estimation",
   "zh": "多模态融合与状态估计",
   "level": "l3"
  },
  "CAP_24216de1": {
   "en": "Physical Consistency Check",
   "zh": "物理一致性校验",
   "level": "l3"
  },
  "CAP_96318c30": {
   "en": "Liquid Shape Completion",
   "zh": "液体形状补全",
   "level": "l3"
  },
  "CAP_d70ed560": {
   "en": "Pourability Affordance Prediction",
   "zh": "可倾倒性可供性预测",
   "level": "l3"
  },
  "CAP_299980e8": {
   "en": "Slosh Dynamics Prediction",
   "zh": "晃动动力学预测",
   "level": "l3"
  },
  "CAP_14e4434a": {
   "en": "Keyframe Extraction with Semantic Verification",
   "zh": "关键帧提取与语义验证",
   "level": "l3"
  },
  "CAP_05995b41": {
   "en": "Scene Graph Construction with Open Vocabulary",
   "zh": "开放词汇场景图构建",
   "level": "l3"
  },
  "CAP_aa43b009": {
   "en": "Skill Primitive Decomposition with LLM",
   "zh": "基于 LLM 的技能原语分解",
   "level": "l3"
  },
  "CAP_fc803799": {
   "en": "Constraint Reasoning with Physical Validation",
   "zh": "约束推理与物理验证",
   "level": "l3"
  },
  "CAP_42564a4d": {
   "en": "Annotation Quality Assessment with Human Feedback",
   "zh": "标注质量评估与人工反馈",
   "level": "l3"
  },
  "CAP_8500c1d0": {
   "en": "Interactive Verification Closed-Loop Annotation",
   "zh": "交互验证式闭环标注",
   "level": "l2"
  },
  "CAP_1a21b2ba": {
   "en": "Initial Annotation Generation",
   "zh": "初始标注生成",
   "level": "l3"
  },
  "CAP_08f30e1c": {
   "en": "Confidence-Based Verification Routing",
   "zh": "基于置信度的验证路由",
   "level": "l3"
  },
  "CAP_d7e45bc0": {
   "en": "Automated Verification",
   "zh": "自动验证",
   "level": "l3"
  },
  "CAP_f7aa4cfc": {
   "en": "Human-AI Verification Interface",
   "zh": "人机验证交互界面",
   "level": "l3"
  },
  "CAP_aca31794": {
   "en": "Multi-Annotator Feedback Aggregation",
   "zh": "多验证者反馈聚合",
   "level": "l3"
  },
  "CAP_8c684abd": {
   "en": "Error Pattern Analysis",
   "zh": "错误模式分析",
   "level": "l3"
  },
  "CAP_c89b2a3b": {
   "en": "Error Pattern-Driven Prompt Optimization",
   "zh": "错误模式驱动的 prompt 优化",
   "level": "l3"
  },
  "CAP_e9944e30": {
   "en": "Closed-Loop Fine-tune Trigger",
   "zh": "闭环微调触发",
   "level": "l3"
  },
  "CAP_fb308482": {
   "en": "NL2PDDL Translation",
   "zh": "自然语言到PDDL翻译",
   "level": "l3"
  },
  "CAP_48a8888c": {
   "en": "Classical Planning Solving",
   "zh": "经典规划求解",
   "level": "l3"
  },
  "CAP_019399f2": {
   "en": "Planner Feedback Interpretation",
   "zh": "规划器反馈解析",
   "level": "l3"
  },
  "CAP_a00068fc": {
   "en": "Closed Loop Model Refinement",
   "zh": "闭环模型修正",
   "level": "l3"
  },
  "CAP_96756e49": {
   "en": "Scene Parsing and Object Extraction",
   "zh": "场景解析与对象提取",
   "level": "l3"
  },
  "CAP_edaf23c0": {
   "en": "Domain PDDL Generation from NL",
   "zh": "自然语言到领域 PDDL 生成",
   "level": "l3"
  },
  "CAP_818df774": {
   "en": "Problem PDDL Instance Generation",
   "zh": "问题 PDDL 实例生成",
   "level": "l3"
  },
  "CAP_8f40169c": {
   "en": "Heuristic Subgoal Ordering Generation",
   "zh": "启发式子目标排序生成",
   "level": "l3"
  },
  "CAP_73ad5406": {
   "en": "Action Model Repair from Feedback",
   "zh": "基于反馈的动作模型修复",
   "level": "l2"
  },
  "CAP_d3a91c70": {
   "en": "Planner Injection",
   "zh": "规划器注入",
   "level": "l3"
  },
  "CAP_f4314d3d": {
   "en": "LLM Code Policy Generation",
   "zh": "LLM代码策略生成",
   "level": "l3"
  },
  "CAP_6cb96092": {
   "en": "Feedback Driven Code Refinement",
   "zh": "反馈驱动代码修正",
   "level": "l3"
  },
  "CAP_a8677b32": {
   "en": "Implicit Goal Inference",
   "zh": "隐式目标推断",
   "level": "l3"
  },
  "CAP_0b4735ef": {
   "en": "Plan Draft Generation",
   "zh": "计划草稿生成",
   "level": "l3"
  },
  "CAP_a5045e99": {
   "en": "Plan Structure Validation",
   "zh": "计划结构化校验",
   "level": "l3"
  },
  "CAP_e57857e7": {
   "en": "Feedback Driven Plan Repair",
   "zh": "反馈驱动计划修正",
   "level": "l3"
  },
  "CAP_d7b45de6": {
   "en": "Plan Template Abstraction",
   "zh": "计划模板抽象",
   "level": "l3"
  },
  "CAP_0116b09c": {
   "en": "Adaptive Thought Triggering",
   "zh": "自适应思考触发",
   "level": "l3"
  },
  "CAP_878d2992": {
   "en": "Continuous Thought Generation",
   "zh": "连续思考Token生成",
   "level": "l3"
  },
  "CAP_f4d38e7c": {
   "en": "Implicit Reasoning State Update",
   "zh": "隐式推理状态更新",
   "level": "l3"
  },
  "CAP_ec0b93fa": {
   "en": "Thought Utility Pruning",
   "zh": "思考效用修剪",
   "level": "l3"
  },
  "CAP_86afed5b": {
   "en": "Scene Graph Construction from Perception",
   "zh": "从感知构建场景图",
   "level": "l3"
  },
  "CAP_a01f3862": {
   "en": "Plan Precondition Extraction",
   "zh": "计划前提条件提取",
   "level": "l3"
  },
  "CAP_a4a02e3f": {
   "en": "Scene Graph State Verification",
   "zh": "场景图状态验证",
   "level": "l3"
  },
  "CAP_f9600df2": {
   "en": "Natural Language Feedback Generation",
   "zh": "自然语言反馈生成",
   "level": "l3"
  },
  "CAP_305720f4": {
   "en": "Closed-loop Replanning Trigger",
   "zh": "闭环重规划触发",
   "level": "l3"
  },
  "CAP_21bc93ee": {
   "en": "Kinematic Feasibility Checker",
   "zh": "运动学可行性检查器",
   "level": "l3"
  },
  "CAP_64d7caf9": {
   "en": "Dynamics Constraint Validator",
   "zh": "动力学约束验证器",
   "level": "l3"
  },
  "CAP_8b0f499b": {
   "en": "Structured Feedback Synthesizer",
   "zh": "结构化反馈合成器",
   "level": "l3"
  },
  "CAP_4b33d5e8": {
   "en": "Trajectory Physics Validation",
   "zh": "轨迹级物理验证",
   "level": "l3"
  },
  "CAP_407e2296": {
   "en": "Multimodal Plan Generation",
   "zh": "多模态计划生成",
   "level": "l3"
  },
  "CAP_7489f3e6": {
   "en": "Geometric Feasibility Validation",
   "zh": "几何可行性验证",
   "level": "l3"
  },
  "CAP_1439a682": {
   "en": "Semantic Consistency Validation",
   "zh": "语义一致性验证",
   "level": "l3"
  },
  "CAP_d5301a4b": {
   "en": "Iterative Plan Repair",
   "zh": "迭代计划修复",
   "level": "l3"
  },
  "CAP_f321de91": {
   "en": "Multimodal Plan Validation",
   "zh": "多模态计划验证",
   "level": "l3"
  },
  "CAP_bbfdbd1b": {
   "en": "Semantic Instruction Parsing",
   "zh": "语义指令解析",
   "level": "l3"
  },
  "CAP_a2af27b3": {
   "en": "Scene State Acquisition",
   "zh": "场景状态获取",
   "level": "l3"
  },
  "CAP_cf465c1d": {
   "en": "LLM-based Task Planning",
   "zh": "基于大语言模型的任务规划",
   "level": "l3"
  },
  "CAP_571314af": {
   "en": "Skill-to-Action Mapping",
   "zh": "技能到动作映射",
   "level": "l3"
  },
  "CAP_41bbd982": {
   "en": "Plan Verification and Repair",
   "zh": "计划验证与修正",
   "level": "l3"
  },
  "CAP_e0766429": {
   "en": "API-aware Prompt Construction",
   "zh": "API感知提示构建",
   "level": "l3"
  },
  "CAP_65a3504d": {
   "en": "Code Policy Generation",
   "zh": "代码策略生成",
   "level": "l3"
  },
  "CAP_a4429a04": {
   "en": "Code Safety Verification",
   "zh": "代码安全校验",
   "level": "l3"
  },
  "CAP_8c3aa4bd": {
   "en": "Code Self-Correction",
   "zh": "代码自修正",
   "level": "l3"
  },
  "CAP_51194c5a": {
   "en": "Runtime Execution Monitoring",
   "zh": "运行时执行监控",
   "level": "l3"
  },
  "CAP_cf737367": {
   "en": "RL Variable-Inertia Force Tracking",
   "zh": "基于RL的变惯量力跟踪",
   "level": "l3"
  },
  "CAP_0cd9f547": {
   "en": "RL Grasp Adaptation for Unknown Mass",
   "zh": "基于RL的未知质量抓取自适应",
   "level": "l3"
  },
  "CAP_90479ea0": {
   "en": "RL Inertia-Aware Trajectory Tracking",
   "zh": "基于RL的惯量感知轨迹跟踪",
   "level": "l3"
  },
  "CAP_405fe8ea": {
   "en": "RL Sim-to-Real Transfer for Variable Load",
   "zh": "基于RL的变负载Sim-to-Real迁移",
   "level": "l3"
  },
  "CAP_72bbd595": {
   "en": "Auction Task Announcement",
   "zh": "拍卖任务公告",
   "level": "l3"
  },
  "CAP_560b2d1d": {
   "en": "Bidder Load-Aware Pricing",
   "zh": "竞标者负载感知定价",
   "level": "l3"
  },
  "CAP_735f78ad": {
   "en": "Auction Clearing Winner Determination",
   "zh": "拍卖清算中标决策",
   "level": "l3"
  },
  "CAP_7ac9c216": {
   "en": "Reputation-Based Incentive",
   "zh": "基于信誉的激励机制",
   "level": "l3"
  },
  "CAP_4e258f06": {
   "en": "Auction Timeout Fallback",
   "zh": "拍卖超时降级处理",
   "level": "l3"
  },
  "CAP_960c25c4": {
   "en": "Topology Graph Construction",
   "zh": "拓扑图构建",
   "level": "l3"
  },
  "CAP_d826924e": {
   "en": "Graph Feature Encoding",
   "zh": "图特征编码",
   "level": "l3"
  },
  "CAP_e8390a96": {
   "en": "GNN Topology Encoding",
   "zh": "GNN拓扑编码",
   "level": "l3"
  },
  "CAP_97e9fd8e": {
   "en": "Graph Diffusion Augmentation",
   "zh": "图扩散增强",
   "level": "l3"
  },
  "CAP_5f3d922f": {
   "en": "Service Instance Scoring",
   "zh": "服务实例评分",
   "level": "l3"
  },
  "CAP_5f6db89f": {
   "en": "Load-Balanced Instance Selection",
   "zh": "负载均衡实例选择",
   "level": "l3"
  },
  "CAP_19429425": {
   "en": "Online Reinforcement Learning",
   "zh": "在线强化学习",
   "level": "l3"
  },
  "CAP_18a40ae0": {
   "en": "Cold Start Fallback",
   "zh": "冷启动降级",
   "level": "l3"
  },
  "CAP_68c56f78": {
   "en": "Deterministic Scheduling for Heterogeneous Simulation",
   "zh": "异构仿真确定性调度",
   "level": "l2"
  },
  "CAP_a438badb": {
   "en": "WCET Profiling for Simulation Steps",
   "zh": "仿真步长最坏执行时间剖析",
   "level": "l3"
  },
  "CAP_a0fc7a7c": {
   "en": "Heterogeneous Resource SBF Modeling",
   "zh": "异构资源供给界限函数建模",
   "level": "l3"
  },
  "CAP_f36d49d8": {
   "en": "Partitioned Scheduling with GPU Task Groups",
   "zh": "带 GPU 任务组的分区调度",
   "level": "l3"
  },
  "CAP_4a1a55dd": {
   "en": "Schedulability Analysis Engine",
   "zh": "可调度性分析引擎",
   "level": "l3"
  },
  "CAP_28724e59": {
   "en": "RT Scheduler Enforcement",
   "zh": "实时调度器执行与监控",
   "level": "l3"
  },
  "CAP_78c04bf4": {
   "en": "RL Scheduling Policy",
   "zh": "强化学习调度策略",
   "level": "l3"
  },
  "CAP_8ee49786": {
   "en": "Reward Shaping for Multi-task Scheduling",
   "zh": "多任务调度奖励塑形",
   "level": "l3"
  },
  "CAP_077195dd": {
   "en": "Online Fine-tuning for RL Scheduler",
   "zh": "强化学习调度器在线微调",
   "level": "l3"
  },
  "CAP_b4d762fb": {
   "en": "Scheduling Simulator for RL Training",
   "zh": "强化学习训练调度模拟器",
   "level": "l3"
  },
  "CAP_963231ad": {
   "en": "Cluster State Sensing",
   "zh": "集群状态感知",
   "level": "l3"
  },
  "CAP_6925a8a8": {
   "en": "LLM-driven Scheduling Decision",
   "zh": "大模型驱动调度决策",
   "level": "l3"
  },
  "CAP_216e1dfe": {
   "en": "Semantic Cache for Scheduling",
   "zh": "调度语义缓存",
   "level": "l3"
  },
  "CAP_21bfe427": {
   "en": "Scheduling Feedback Optimization",
   "zh": "调度反馈优化",
   "level": "l3"
  },
  "CAP_d6a0a319": {
   "en": "Heterogeneous Task Profiling and Monitoring",
   "zh": "异构任务剖析与系统监控",
   "level": "l2"
  },
  "CAP_f5baddec": {
   "en": "Heterogeneous Task Profiling",
   "zh": "异构任务剖析",
   "level": "l3"
  },
  "CAP_78832e22": {
   "en": "Heterogeneous Resource Monitoring",
   "zh": "异构资源监控",
   "level": "l3"
  },
  "CAP_7c5e5b87": {
   "en": "Deadline-Aware Heterogeneous Scheduling",
   "zh": "截止时间感知的异构调度",
   "level": "l3"
  },
  "CAP_e175cb0b": {
   "en": "Low-Overhead Task Migration",
   "zh": "低开销任务迁移",
   "level": "l3"
  },
  "CAP_a861fae1": {
   "en": "Confidence Extraction from Edge Model",
   "zh": "端侧模型置信度提取",
   "level": "l3"
  },
  "CAP_3468e3a0": {
   "en": "Adaptive Threshold Decision Engine",
   "zh": "自适应阈值卸载决策引擎",
   "level": "l3"
  },
  "CAP_0fbb1822": {
   "en": "Bandwidth-Adaptive Compression",
   "zh": "带宽自适应压缩",
   "level": "l3"
  },
  "CAP_faebb4d0": {
   "en": "Edge High-Precision Inference",
   "zh": "边缘侧高精度推理",
   "level": "l3"
  },
  "CAP_6431fa74": {
   "en": "Edge Inference Result Fusion",
   "zh": "边缘推理结果融合",
   "level": "l3"
  },
  "CAP_b7b70058": {
   "en": "Offloading Timeout Fallback",
   "zh": "卸载超时回退",
   "level": "l3"
  },
  "CAP_224b6bdd": {
   "en": "Semantic Task Parsing and Grounding",
   "zh": "语义任务解析与场景接地",
   "level": "l2"
  },
  "CAP_e768a424": {
   "en": "Robot Semantic Parsing",
   "zh": "机器人语义解析",
   "level": "l3"
  },
  "CAP_68af7403": {
   "en": "Task DAG Generation and Selection",
   "zh": "任务图生成与方案择优",
   "level": "l3"
  },
  "CAP_d88991f8": {
   "en": "Resource Labeling and Semantic Placement",
   "zh": "资源标注与语义感知放置",
   "level": "l2"
  },
  "CAP_d165a4b9": {
   "en": "Semantic-Aware Task Placement",
   "zh": "语义感知任务放置",
   "level": "l3"
  },
  "CAP_0220af67": {
   "en": "Multi-Level Overload Classification",
   "zh": "多级过载分类",
   "level": "l3"
  },
  "CAP_48149112": {
   "en": "Smooth Recovery Ramping",
   "zh": "平滑恢复斜坡",
   "level": "l3"
  },
  "CAP_62d14493": {
   "en": "Slosh State Estimation",
   "zh": "液体晃荡状态估计",
   "level": "l3"
  },
  "CAP_6ccc0705": {
   "en": "Slosh Force Prediction",
   "zh": "晃荡力预测",
   "level": "l3"
  },
  "CAP_1d947a57": {
   "en": "Slosh Protection Decision",
   "zh": "晃荡保护决策",
   "level": "l3"
  },
  "CAP_756141ba": {
   "en": "Slosh-Free Trajectory Reshaping",
   "zh": "无晃荡轨迹重规划",
   "level": "l3"
  },
  "CAP_65a55702": {
   "en": "Slosh Event Logging",
   "zh": "晃荡事件记录",
   "level": "l3"
  },
  "CAP_17e97ab0": {
   "en": "Semantic Object Property Query",
   "zh": "语义对象属性查询",
   "level": "l3"
  },
  "CAP_aa65443b": {
   "en": "Fragility-Aware Grasp Parameter Generation",
   "zh": "脆弱性感知抓取参数生成",
   "level": "l3"
  },
  "CAP_f6928816": {
   "en": "Exploratory Contact Probing",
   "zh": "探索性接触探测",
   "level": "l3"
  },
  "CAP_d2c331db": {
   "en": "Multimodal Grasp Anomaly Detection",
   "zh": "多模态抓取异常检测",
   "level": "l3"
  },
  "CAP_6d6c1cfa": {
   "en": "Sparse Keypoint Detection and Description",
   "zh": "稀疏关键点检测与描述",
   "level": "l2"
  },
  "CAP_db3766ba": {
   "en": "Sparse Keypoint Detection",
   "zh": "稀疏关键点检测",
   "level": "l3"
  },
  "CAP_10e63fda": {
   "en": "Initial Matching",
   "zh": "初始匹配建立",
   "level": "l2"
  },
  "CAP_bbdc2809": {
   "en": "GNN Matching Optimization",
   "zh": "图神经网络匹配优化",
   "level": "l3"
  },
  "CAP_e841caa3": {
   "en": "Sparse-to-Dense Refinement",
   "zh": "稀疏到密集细化",
   "level": "l3"
  },
  "CAP_4f5f4eec": {
   "en": "Multi-scale Feature Extraction for Matching",
   "zh": "多尺度特征提取",
   "level": "l3"
  },
  "CAP_47b4d473": {
   "en": "Positional Encoding Injection",
   "zh": "位置编码注入",
   "level": "l3"
  },
  "CAP_22f5c918": {
   "en": "Detector-free Coarse Matching",
   "zh": "无检测器粗粒度匹配",
   "level": "l3"
  },
  "CAP_fb7a0435": {
   "en": "Transformer Cross-Attention Matching",
   "zh": "Transformer交叉注意力匹配",
   "level": "l3"
  },
  "CAP_e58e2d58": {
   "en": "Subpixel Match Refinement",
   "zh": "亚像素匹配精化",
   "level": "l3"
  },
  "CAP_dbf909bd": {
   "en": "Confidence-aware Match Filtering",
   "zh": "置信度感知匹配过滤",
   "level": "l3"
  },
  "CAP_dc66ef2a": {
   "en": "MPC OCP Formulation",
   "zh": "MPC 最优控制问题构建",
   "level": "l3"
  },
  "CAP_5dbd169f": {
   "en": "MPC Numerical Solver",
   "zh": "MPC 数值优化求解器",
   "level": "l3"
  },
  "CAP_7f4d9b45": {
   "en": "MPC Collision Avoidance Constraint",
   "zh": "MPC 避碰约束生成",
   "level": "l3"
  },
  "CAP_9023879f": {
   "en": "MPC State Prediction Broadcast",
   "zh": "MPC 预测轨迹广播",
   "level": "l3"
  },
  "CAP_64712039": {
   "en": "MPC Warm Start Strategy",
   "zh": "MPC 热启动策略",
   "level": "l3"
  },
  "CAP_4124bf71": {
   "en": "DRL Observation Preprocessing",
   "zh": "DRL 观测预处理",
   "level": "l3"
  },
  "CAP_8ea4468c": {
   "en": "DRL Reward Computation",
   "zh": "DRL 奖励函数计算",
   "level": "l3"
  },
  "CAP_46a77a91": {
   "en": "DRL Safety Shield",
   "zh": "DRL 安全屏蔽层",
   "level": "l3"
  },
  "CAP_e975fa9f": {
   "en": "DRL Sim2Real Transfer",
   "zh": "DRL 仿真到真实迁移",
   "level": "l3"
  },
  "CAP_c41b40c0": {
   "en": "Diffusion Local Trajectory Generation",
   "zh": "扩散局部轨迹生成",
   "level": "l3"
  },
  "CAP_656812fc": {
   "en": "Intent Broadcasting",
   "zh": "意图广播",
   "level": "l3"
  },
  "CAP_d55aef90": {
   "en": "Local Surface Estimation",
   "zh": "局部表面估计",
   "level": "l3"
  },
  "CAP_a9e99d49": {
   "en": "Friction Cone Estimation",
   "zh": "摩擦锥估计",
   "level": "l3"
  },
  "CAP_d7bd38b0": {
   "en": "Tactile Servo Controller",
   "zh": "触觉伺服控制器",
   "level": "l3"
  },
  "CAP_6286bf5d": {
   "en": "Slip Detection and Reaction",
   "zh": "滑动检测与反应",
   "level": "l3"
  },
  "CAP_f1e65885": {
   "en": "Distributed Exploration Planning",
   "zh": "分布式协同探索",
   "level": "l3"
  },
  "CAP_073af778": {
   "en": "Reference Line Extraction",
   "zh": "参考线提取",
   "level": "l3"
  },
  "CAP_a6abe878": {
   "en": "Pure Pursuit Lookahead Curvature",
   "zh": "纯追踪前瞻曲率计算",
   "level": "l3"
  },
  "CAP_628cf091": {
   "en": "MPC Constrained Optimization",
   "zh": "MPC约束优化",
   "level": "l3"
  },
  "CAP_3b4e1409": {
   "en": "Dynamic Weight Scheduling",
   "zh": "动态权重调度",
   "level": "l3"
  },
  "CAP_79c2ab6a": {
   "en": "Control Fallback Arbitration",
   "zh": "控制回退仲裁",
   "level": "l3"
  },
  "CAP_d2cdf574": {
   "en": "MPC/Pure Pursuit Hybrid Path Tracking",
   "zh": "MPC/Pure Pursuit 混合路径跟踪",
   "level": "l2"
  },
  "CAP_a3a0294f": {
   "en": "Pure Pursuit Curvature Calculation",
   "zh": "Pure Pursuit 曲率计算",
   "level": "l3"
  },
  "CAP_1bbe646f": {
   "en": "State Lattice Construction",
   "zh": "状态栅格构建",
   "level": "l3"
  },
  "CAP_819a3e04": {
   "en": "Motion Primitive Generation",
   "zh": "运动基元生成",
   "level": "l3"
  },
  "CAP_4faa3769": {
   "en": "Lattice Graph Search",
   "zh": "栅格图搜索",
   "level": "l3"
  },
  "CAP_4bc8515f": {
   "en": "Trajectory Post Smoothing",
   "zh": "轨迹后处理平滑",
   "level": "l3"
  },
  "CAP_251712e9": {
   "en": "State Lattice Motion-Primitive Graph Search Pipeline",
   "zh": "状态栅格运动基元图搜索管线",
   "level": "l2"
  },
  "CAP_23005b00": {
   "en": "Concept Set Definition",
   "zh": "概念集定义",
   "level": "l3"
  },
  "CAP_3bc440a0": {
   "en": "Concept Bottleneck Training",
   "zh": "概念瓶颈训练",
   "level": "l3"
  },
  "CAP_4b1242c9": {
   "en": "Global Concept Importance Ranking",
   "zh": "全局概念重要性排序",
   "level": "l3"
  },
  "CAP_f85060b6": {
   "en": "Concept Rule Extraction",
   "zh": "概念规则提取",
   "level": "l3"
  },
  "CAP_b0df19e1": {
   "en": "Global Explanation Rendering",
   "zh": "全局解释呈现",
   "level": "l3"
  },
  "CAP_ce871742": {
   "en": "Decision Boundary Locator",
   "zh": "决策边界定位器",
   "level": "l3"
  },
  "CAP_32f5ce8c": {
   "en": "Minimal Counterfactual Perturbation",
   "zh": "最小反事实扰动生成",
   "level": "l3"
  },
  "CAP_a4d1a8d4": {
   "en": "Sparse Delta Extractor",
   "zh": "稀疏扰动提取器",
   "level": "l3"
  },
  "CAP_b0668dd5": {
   "en": "Counterfactual Validity Checker",
   "zh": "反事实有效性验证器",
   "level": "l3"
  },
  "CAP_24a8d6f5": {
   "en": "Program Synthesis Hybrid Explanation",
   "zh": "程序合成混合解释",
   "level": "l2"
  },
  "CAP_c218cda0": {
   "en": "DSL Design and Optimization",
   "zh": "领域特定语言设计与优化",
   "level": "l3"
  },
  "CAP_3ee4c27f": {
   "en": "Program Synthesis from Trajectories",
   "zh": "轨迹程序合成",
   "level": "l3"
  },
  "CAP_4b0bbb52": {
   "en": "Program Verification and Selection",
   "zh": "程序验证与选择",
   "level": "l3"
  },
  "CAP_33a43b8d": {
   "en": "Local Decision Trace Explanation",
   "zh": "局部决策轨迹解释",
   "level": "l3"
  },
  "CAP_34e69ba1": {
   "en": "Global Program Structure Analysis",
   "zh": "全局程序结构分析",
   "level": "l3"
  },
  "CAP_5ed52292": {
   "en": "Hybrid Explanation Report Merge",
   "zh": "混合解释报告合并",
   "level": "l3"
  },
  "CAP_c84b7cdd": {
   "en": "Base Pose Optimization with Collision",
   "zh": "带碰撞约束的基座位姿优化",
   "level": "l3"
  },
  "CAP_83fba292": {
   "en": "Constrained Environment Modeling",
   "zh": "约束环境建模",
   "level": "l2"
  },
  "CAP_63fd8ecf": {
   "en": "Constraint Graph Construction",
   "zh": "约束图构建",
   "level": "l3"
  },
  "CAP_a6b14c12": {
   "en": "Motion Primitive Library Generation",
   "zh": "运动基元库生成",
   "level": "l3"
  },
  "CAP_97c30cca": {
   "en": "Human Demonstration Processing",
   "zh": "人类演示数据处理",
   "level": "l2"
  },
  "CAP_764b7b01": {
   "en": "Motion Segmentation and Keypoint Extraction",
   "zh": "运动分割与关键点提取",
   "level": "l3"
  },
  "CAP_75400d8c": {
   "en": "Environment-Motion Association Annotation",
   "zh": "环境-运动关联标注",
   "level": "l3"
  },
  "CAP_9591f651": {
   "en": "Whole-Body Motion Retargeting and Policy Learning",
   "zh": "全身运动重定向与策略学习",
   "level": "l2"
  },
  "CAP_8de2376c": {
   "en": "Constrained Environment Motion Retargeting",
   "zh": "约束环境运动重定向",
   "level": "l3"
  },
  "CAP_a7d037c9": {
   "en": "Whole-Body RL Policy Training",
   "zh": "全身强化学习策略训练",
   "level": "l3"
  },
  "CAP_719976cf": {
   "en": "Domain Randomization and Sim-to-Real Transfer",
   "zh": "域随机化与仿真到现实迁移",
   "level": "l2"
  },
  "CAP_fb163097": {
   "en": "Online Inference and Safety Monitoring",
   "zh": "在线推理与安全监控",
   "level": "l2"
  },
  "CAP_e7686e76": {
   "en": "Safety Filter for Whole-Body",
   "zh": "全身安全滤波器",
   "level": "l3"
  },
  "CAP_e5cdf3d4": {
   "en": "Premanipulation Readiness Evaluator",
   "zh": "操作前准备度评估器",
   "level": "l3"
  },
  "CAP_7e5b0cb1": {
   "en": "VLM Semantic Scene Graph",
   "zh": "VLM语义场景图构建",
   "level": "l3"
  },
  "CAP_a4135329": {
   "en": "VLM Semantic Scene Graph Construction",
   "zh": "VLM语义场景图构建",
   "level": "l3"
  },
  "CAP_9c353e75": {
   "en": "VLM Affordance Reasoning",
   "zh": "VLM操作可行性推理",
   "level": "l3"
  },
  "CAP_d69356ea": {
   "en": "VLM Affordance Reasoning for Placement",
   "zh": "VLM操作可行性推理与工位生成",
   "level": "l3"
  },
  "CAP_19e7835d": {
   "en": "Active Perception and VLM Query",
   "zh": "主动感知与VLM查询",
   "level": "l3"
  },
  "CAP_5da6f404": {
   "en": "Semantic Pose Validation and Selection",
   "zh": "语义位姿验证与选择",
   "level": "l3"
  },
  "CAP_ee3d781f": {
   "en": "Optimal Pose Selection and Path Validation",
   "zh": "最优工位选择与路径验证",
   "level": "l3"
  },
  "CAP_d379cb1c": {
   "en": "LTL Specification Parsing",
   "zh": "LTL 规范解析",
   "level": "l3"
  },
  "CAP_030f442e": {
   "en": "Trajectory Robustness Computation",
   "zh": "轨迹鲁棒性计算",
   "level": "l3"
  },
  "CAP_36ac6c25": {
   "en": "Constrained Policy Optimization with LTL",
   "zh": "LTL 约束策略优化",
   "level": "l3"
  },
  "CAP_5df9c615": {
   "en": "Dexterous Manipulation Skill Execution",
   "zh": "灵巧操作技能执行",
   "level": "l3"
  },
  "CAP_51085dc7": {
   "en": "DSL-Based Program Sketching",
   "zh": "基于DSL的程序草图生成",
   "level": "l3"
  },
  "CAP_4259756e": {
   "en": "Constraint-Based Program Completion",
   "zh": "基于约束的程序补全",
   "level": "l3"
  },
  "CAP_0fbc669b": {
   "en": "Closed-Loop Program Verification",
   "zh": "闭环程序验证",
   "level": "l3"
  },
  "CAP_3363a2ee": {
   "en": "Neural-Symbolic Program Induction",
   "zh": "神经符号程序归纳",
   "level": "l3"
  },
  "CAP_6810fdb6": {
   "en": "Constraint Induction from Trajectories",
   "zh": "轨迹约束归纳",
   "level": "l3"
  },
  "CAP_0f22ff41": {
   "en": "Constraint Graph Compilation",
   "zh": "约束图编译",
   "level": "l3"
  },
  "CAP_d840378f": {
   "en": "FM Planning with Graph Guidance",
   "zh": "基础模型图引导规划",
   "level": "l3"
  },
  "CAP_3284b44e": {
   "en": "Multimodal Constraint Grounding",
   "zh": "多模态约束接地",
   "level": "l3"
  },
  "CAP_27f6f4e2": {
   "en": "FM Planning with Graph Guidance (L3)",
   "zh": "基础模型图引导规划（L3）",
   "level": "l3"
  },
  "CAP_01b81ee3": {
   "en": "State Space Construction",
   "zh": "状态空间构建",
   "level": "l3"
  },
  "CAP_41b99fd9": {
   "en": "Global Sampling Path Generation",
   "zh": "全局采样路径生成",
   "level": "l3"
  },
  "CAP_4508bbb1": {
   "en": "Path Smoothing and Simplification",
   "zh": "路径平滑与简化",
   "level": "l3"
  },
  "CAP_52888bd5": {
   "en": "Kinodynamic Trajectory Optimization",
   "zh": "动力学轨迹优化",
   "level": "l3"
  },
  "CAP_761366af": {
   "en": "Hierarchical Replanning Trigger",
   "zh": "分层重规划触发",
   "level": "l3"
  },
  "CAP_a9759076": {
   "en": "Agricultural Coverage Path Planning",
   "zh": "农业覆盖路径规划",
   "level": "l3"
  },
  "CAP_9c0f943a": {
   "en": "RL Visual Navigation Policy",
   "zh": "强化学习视觉导航策略",
   "level": "l3"
  },
  "CAP_f71e7960": {
   "en": "RL Goal-Conditioned Navigation",
   "zh": "目标条件强化学习导航",
   "level": "l3"
  },
  "CAP_b30d2485": {
   "en": "RL Auxiliary Task Learning",
   "zh": "强化学习辅助任务学习",
   "level": "l3"
  },
  "CAP_d83d8746": {
   "en": "RL Hierarchical Navigation",
   "zh": "层次化强化学习导航",
   "level": "l3"
  },
  "CAP_05d77577": {
   "en": "LLM Guided Topological Search",
   "zh": "语言引导的拓扑图搜索",
   "level": "l3"
  },
  "CAP_25deb0e2": {
   "en": "Subgoal Driven Local Navigation",
   "zh": "子目标驱动的局部导航",
   "level": "l3"
  },
  "CAP_ad093382": {
   "en": "Multimodal Sensor Frontend",
   "zh": "多模态传感器前端",
   "level": "l2"
  },
  "CAP_e5bbc7f2": {
   "en": "Tightly Coupled Multimodal Odometry",
   "zh": "紧耦合多模态里程计",
   "level": "l2"
  },
  "CAP_b0285472": {
   "en": "Factor Graph Fusion",
   "zh": "因子图融合",
   "level": "l3"
  },
  "CAP_49d95e64": {
   "en": "Topological Mapping and Global Optimization",
   "zh": "拓扑建图与全局优化",
   "level": "l2"
  },
  "CAP_9605af83": {
   "en": "Cross-modal Loop Closure Detection",
   "zh": "跨模态闭环检测",
   "level": "l3"
  },
  "CAP_00984698": {
   "en": "Geometric Perception",
   "zh": "几何感知",
   "level": "l3"
  },
  "CAP_71120824": {
   "en": "Depth Refinement & Validation",
   "zh": "深度细化与验证",
   "level": "l3"
  },
  "CAP_54cacc86": {
   "en": "Egocentric Temporal Modeling",
   "zh": "第一人称时序建模",
   "level": "l3"
  },
  "CAP_708916c9": {
   "en": "VLM-Driven Replanning",
   "zh": "视觉-语言模型驱动的重规划",
   "level": "l3"
  },
  "CAP_4ad1913c": {
   "en": "Lifelong Odometry",
   "zh": "终身里程计",
   "level": "l3"
  },
  "CAP_4c3de1b7": {
   "en": "Cross-Session Place Recognition",
   "zh": "跨会话地点识别",
   "level": "l3"
  },
  "CAP_8f58ee79": {
   "en": "Spatiotemporal Map Alignment",
   "zh": "时空地图对齐",
   "level": "l3"
  },
  "CAP_72816335": {
   "en": "Map Change Detection and Update",
   "zh": "地图变化检测与更新",
   "level": "l3"
  },
  "CAP_56e93974": {
   "en": "Lifelong Loop Closure",
   "zh": "终身回环闭合",
   "level": "l3"
  },
  "CAP_09995590": {
   "en": "Active View Planning for Change Detection",
   "zh": "主动观测规划",
   "level": "l3"
  },
  "CAP_1e4d0f9e": {
   "en": "Active View Planning for Change Detection (L3)",
   "zh": "主动观测规划（L3）",
   "level": "l3"
  },
  "CAP_d496c0b9": {
   "en": "Cross-Session Place Recognition (L3)",
   "zh": "跨会话地点识别（L3）",
   "level": "l3"
  },
  "CAP_27afa5a4": {
   "en": "Temporal Change Accumulation",
   "zh": "时序变化累积",
   "level": "l3"
  },
  "CAP_1e17dd3d": {
   "en": "Temporal Change Accumulation (L3)",
   "zh": "时序变化累积（L3）",
   "level": "l3"
  },
  "CAP_e4a26080": {
   "en": "Map Version Management",
   "zh": "地图版本管理",
   "level": "l3"
  },
  "CAP_fa920edb": {
   "en": "Map Version Management (L3)",
   "zh": "地图版本管理（L3）",
   "level": "l3"
  },
  "CAP_7fb22f57": {
   "en": "Long-term Localization Drift Compensation",
   "zh": "长期定位漂移补偿",
   "level": "l3"
  },
  "CAP_e457b2ad": {
   "en": "Long-term Localization Drift Compensation (L3)",
   "zh": "长期定位漂移补偿（L3）",
   "level": "l3"
  },
  "CAP_c941cb41": {
   "en": "Map Change Detection and Update (L3)",
   "zh": "地图变化检测与更新（L3）",
   "level": "l3"
  },
  "CAP_22751009": {
   "en": "Persistent Path Planning",
   "zh": "长周期巡检路径规划",
   "level": "l3"
  },
  "CAP_53a1447d": {
   "en": "Spatiotemporal Alignment",
   "zh": "时空对齐与位姿记录",
   "level": "l3"
  },
  "CAP_2074e62d": {
   "en": "Data Quality Assessment",
   "zh": "数据质量评估",
   "level": "l3"
  },
  "CAP_002c0df5": {
   "en": "Temporal Data Management",
   "zh": "时序数据管理",
   "level": "l3"
  },
  "CAP_231f39f8": {
   "en": "Adaptive Sampling Strategy",
   "zh": "自适应采样策略",
   "level": "l3"
  },
  "CAP_d3b8aef4": {
   "en": "Scene Graph Front-End Perception",
   "zh": "场景图前端感知",
   "level": "l2"
  },
  "CAP_296b3c9d": {
   "en": "Hierarchical Scene Graph Building",
   "zh": "层次化场景图构建管线",
   "level": "l2"
  },
  "CAP_4fdcdfc1": {
   "en": "Incremental Scene Graph Optimization",
   "zh": "增量式场景图优化",
   "level": "l3"
  },
  "CAP_8b3fdac6": {
   "en": "Scene Graph Memory Persistence",
   "zh": "场景图记忆持久化",
   "level": "l2"
  },
  "CAP_f8bd6866": {
   "en": "Scene Graph Persistence and Retrieval",
   "zh": "场景图持久化与检索",
   "level": "l3"
  },
  "CAP_8bf6a522": {
   "en": "RAG Generative Episodic Memory",
   "zh": "RAG 生成式情景记忆",
   "level": "l2"
  },
  "CAP_59aab4e9": {
   "en": "Episodic Memory Stream Append",
   "zh": "情景记忆流写入",
   "level": "l3"
  },
  "CAP_99479609": {
   "en": "Retrieval Triple Scoring",
   "zh": "记忆检索三元评分",
   "level": "l3"
  },
  "CAP_a35db24d": {
   "en": "Reflection Generation",
   "zh": "反思生成",
   "level": "l3"
  },
  "CAP_7847ef7c": {
   "en": "Planning Generation",
   "zh": "规划生成",
   "level": "l3"
  },
  "CAP_d2ac0231": {
   "en": "Dynamic Link Generation",
   "zh": "动态建链",
   "level": "l3"
  },
  "CAP_55755ab9": {
   "en": "Sensor Preprocessing and Local Feature Extraction",
   "zh": "传感器预处理与局部特征提取",
   "level": "l2"
  },
  "CAP_2c7ccc5f": {
   "en": "Visual Local Feature Extraction",
   "zh": "视觉局部特征提取",
   "level": "l3"
  },
  "CAP_6ac22191": {
   "en": "LiDAR Local Feature Extraction",
   "zh": "激光雷达局部特征提取",
   "level": "l3"
  },
  "CAP_43ab7188": {
   "en": "Visual Global Descriptor Aggregation",
   "zh": "视觉全局描述子聚合",
   "level": "l3"
  },
  "CAP_5d8ec726": {
   "en": "LiDAR Global Descriptor Aggregation",
   "zh": "激光雷达全局描述子聚合",
   "level": "l3"
  },
  "CAP_70f14ba4": {
   "en": "Multi-Modal Descriptor Fusion",
   "zh": "多模态描述子融合",
   "level": "l3"
  },
  "CAP_358c8c43": {
   "en": "Approximate Nearest Neighbor Retrieval",
   "zh": "近似最近邻检索与候选召回",
   "level": "l3"
  },
  "CAP_b8f7a57a": {
   "en": "Spatio-Temporal Indexing",
   "zh": "时空索引构建与候选检索",
   "level": "l2"
  },
  "CAP_8d662e14": {
   "en": "Spatio-Temporal Index Query",
   "zh": "时空索引查询",
   "level": "l3"
  },
  "CAP_7808c75d": {
   "en": "Sequence Difference Matrix and Path Matching",
   "zh": "序列差异矩阵与路径匹配",
   "level": "l2"
  },
  "CAP_91da27f9": {
   "en": "Sequence Difference Matrix Normalization",
   "zh": "序列差异矩阵计算与归一化",
   "level": "l3"
  },
  "CAP_7422d846": {
   "en": "Sequence Path Search (SeqSLAM)",
   "zh": "SeqSLAM路径搜索",
   "level": "l3"
  },
  "CAP_12c946b4": {
   "en": "Consistency Verification and Metric Relocalization",
   "zh": "时空一致性验证与度量重定位",
   "level": "l2"
  },
  "CAP_33be6055": {
   "en": "Temporal Consistency Verification",
   "zh": "时间一致性验证",
   "level": "l3"
  },
  "CAP_2cc743c9": {
   "en": "Geometric Consistency RANSAC",
   "zh": "几何一致性RANSAC验证",
   "level": "l3"
  },
  "CAP_5fdb9737": {
   "en": "Metric Relocalization (PnP)",
   "zh": "PnP+RANSAC度量重定位",
   "level": "l3"
  },
  "CAP_5a610951": {
   "en": "Foundation Model Selection and Loading",
   "zh": "基础模型选型与加载",
   "level": "l2"
  },
  "CAP_c5c4ea8d": {
   "en": "Foundation Model Loading",
   "zh": "基础模型加载",
   "level": "l3"
  },
  "CAP_21da0a26": {
   "en": "Image Preprocessing and Augmentation",
   "zh": "图像预处理与增强",
   "level": "l3"
  },
  "CAP_0004172c": {
   "en": "CLIP-Based Global Descriptor Extraction",
   "zh": "CLIP全局描述子提取",
   "level": "l3"
  },
  "CAP_482ad3e5": {
   "en": "DINOv2 Dense Local Feature Extraction",
   "zh": "DINOv2密集局部特征提取",
   "level": "l3"
  },
  "CAP_3d0f31c7": {
   "en": "Descriptor Aggregation and Retrieval",
   "zh": "描述子聚合与检索",
   "level": "l2"
  },
  "CAP_14d5c44e": {
   "en": "SALAD Descriptor Aggregation",
   "zh": "SALAD描述子聚合",
   "level": "l3"
  },
  "CAP_fe00e409": {
   "en": "FAISS-Based Large Scale Retrieval",
   "zh": "FAISS大规模检索",
   "level": "l3"
  },
  "CAP_aee46bc2": {
   "en": "Multimodal Place Fusion",
   "zh": "多模态语义地点融合",
   "level": "l3"
  },
  "CAP_7252b6a6": {
   "en": "Global Detection and Target Specification",
   "zh": "全局检测与目标指定",
   "level": "l2"
  },
  "CAP_126e3033": {
   "en": "Global Detection and Feature Extraction",
   "zh": "全局检测与特征提取",
   "level": "l2"
  },
  "CAP_ef94c890": {
   "en": "Verification Matching and State Management",
   "zh": "验证匹配与状态管理",
   "level": "l2"
  },
  "CAP_e652edda": {
   "en": "Global Detection Scan",
   "zh": "全局检测扫描",
   "level": "l3"
  },
  "CAP_b8e42eea": {
   "en": "Appearance Embedding Extraction",
   "zh": "外观嵌入提取",
   "level": "l3"
  },
  "CAP_abdd3471": {
   "en": "Identity Verification Matching",
   "zh": "身份验证匹配",
   "level": "l3"
  },
  "CAP_2eaa4997": {
   "en": "Re-identification Recovery",
   "zh": "重识别恢复",
   "level": "l3"
  },
  "CAP_7cfad7c8": {
   "en": "Track State Lifecycle Management",
   "zh": "轨迹状态生命周期管理",
   "level": "l3"
  },
  "CAP_c805854e": {
   "en": "Transformer Query Initialization",
   "zh": "Transformer查询初始化",
   "level": "l3"
  },
  "CAP_c76e57d1": {
   "en": "Temporal Cross-Attention Update",
   "zh": "时序交叉注意力更新",
   "level": "l3"
  },
  "CAP_18f62a71": {
   "en": "Target State Prediction",
   "zh": "目标状态预测",
   "level": "l3"
  },
  "CAP_47e3fbde": {
   "en": "Dynamic Memory Management",
   "zh": "动态记忆库管理",
   "level": "l3"
  },
  "CAP_18b9ff4e": {
   "en": "Query-Based Re-identification",
   "zh": "基于查询的重识别",
   "level": "l3"
  },
  "CAP_39706eb2": {
   "en": "Memory Stream Encoding",
   "zh": "记忆流编码",
   "level": "l3"
  },
  "CAP_78a58739": {
   "en": "Three-Dimensional Memory Retrieval",
   "zh": "三维记忆检索",
   "level": "l3"
  },
  "CAP_9fa68e3b": {
   "en": "Reflection Trigger and Generation",
   "zh": "反思触发与生成",
   "level": "l3"
  },
  "CAP_d8fccb7f": {
   "en": "Evolvable Profile Synthesis",
   "zh": "可演化画像合成",
   "level": "l3"
  },
  "CAP_268f2cd1": {
   "en": "Importance Auto-Scoring",
   "zh": "重要性自动评分",
   "level": "l3"
  },
  "CAP_e25f9216": {
   "en": "Egocentric Multimodal Acquisition",
   "zh": "以自我为中心多模态采集",
   "level": "l3"
  },
  "CAP_5fa22a28": {
   "en": "Memory Index Construction",
   "zh": "记忆索引构建",
   "level": "l3"
  },
  "CAP_636e9666": {
   "en": "Temporal Memory Retrieval",
   "zh": "时序记忆检索",
   "level": "l3"
  },
  "CAP_5d70fc5e": {
   "en": "Preference Evolution Tracking",
   "zh": "偏好演化追踪",
   "level": "l3"
  },
  "CAP_5d9da9fb": {
   "en": "Privacy Preserving Memory",
   "zh": "隐私保护记忆",
   "level": "l3"
  },
  "CAP_55a79c3b": {
   "en": "Sensor Independent Estimation",
   "zh": "传感器独立估计",
   "level": "l3"
  },
  "CAP_9e82f042": {
   "en": "Extrinsic Transformation",
   "zh": "外参变换",
   "level": "l3"
  },
  "CAP_ed19f6d4": {
   "en": "Outlier Detection and Rejection",
   "zh": "异常值检测与剔除",
   "level": "l3"
  },
  "CAP_731f8635": {
   "en": "Loose Coupling EKF Fusion",
   "zh": "松耦合 EKF 融合",
   "level": "l3"
  },
  "CAP_dbab7cf3": {
   "en": "Sensor Source Orchestration",
   "zh": "传感器源动态编排",
   "level": "l3"
  },
  "CAP_ed9d3158": {
   "en": "GNSS Positioning",
   "zh": "GNSS 定位",
   "level": "l3"
  },
  "CAP_d9c5be2d": {
   "en": "Loose Graph Optimization",
   "zh": "松耦合图优化",
   "level": "l3"
  },
  "CAP_c85b15e3": {
   "en": "Shared Memory Segment Lifecycle Management",
   "zh": "共享内存段生命周期管理",
   "level": "l3"
  },
  "CAP_59a988f3": {
   "en": "Loan Sample Zero-Copy Write",
   "zh": "借出样本零拷贝写入",
   "level": "l3"
  },
  "CAP_f0f6da03": {
   "en": "Lock-Free Ring Buffer IPC",
   "zh": "无锁环形缓冲区进程间通信",
   "level": "l3"
  },
  "CAP_1dcfed23": {
   "en": "Shared Memory Flow Control and Backpressure",
   "zh": "共享内存流控与反压",
   "level": "l3"
  },
  "CAP_a0a9cc58": {
   "en": "Segment Lifecycle Management",
   "zh": "共享内存段生命周期管理",
   "level": "l2"
  },
  "CAP_4313720e": {
   "en": "Loan and Publish Zero-Copy Delivery",
   "zh": "零拷贝发布与投递",
   "level": "l2"
  },
  "CAP_90153484": {
   "en": "Lock-Free SPSC Ring Buffer",
   "zh": "无锁单生产者单消费者环形缓冲区",
   "level": "l2"
  },
  "CAP_98faeb91": {
   "en": "Kernel Bypass Data Plane",
   "zh": "内核旁路数据平面",
   "level": "l2"
  },
  "CAP_1927cc3a": {
   "en": "DPDK Zero-Copy Messaging",
   "zh": "DPDK零拷贝消息传递",
   "level": "l3"
  },
  "CAP_b083720f": {
   "en": "XDP Socket Redirect",
   "zh": "XDP套接字重定向",
   "level": "l3"
  },
  "CAP_00904892": {
   "en": "RDMA Reliable Unicast",
   "zh": "RDMA可靠单播",
   "level": "l3"
  },
  "CAP_89fd8c4e": {
   "en": "Hardware Offload Serialization",
   "zh": "硬件卸载序列化",
   "level": "l2"
  },
  "CAP_abe268d9": {
   "en": "FPGA MAVLink Accelerator",
   "zh": "FPGA MAVLink加速器",
   "level": "l3"
  },
  "CAP_bb87e9b1": {
   "en": "SmartNIC P4 Message Router",
   "zh": "SmartNIC P4消息路由器",
   "level": "l3"
  },
  "CAP_6eb46fd1": {
   "en": "Priority Scheduling and Traffic Shaping",
   "zh": "优先级调度与流量整形",
   "level": "l3"
  },
  "CAP_fa0f1214": {
   "en": "Constrained MPC for Joints",
   "zh": "关节约束模型预测控制",
   "level": "l3"
  },
  "CAP_72a9c4f4": {
   "en": "Uncertainty-Aware Inverse Dynamics",
   "zh": "不确定性感知逆动力学",
   "level": "l3"
  },
  "CAP_fc04378e": {
   "en": "Real-Time Inference",
   "zh": "实时推理",
   "level": "l3"
  },
  "CAP_766c4040": {
   "en": "E2E RL Current Tracking",
   "zh": "端到端强化学习电流跟踪",
   "level": "l2"
  },
  "CAP_58c633a4": {
   "en": "State and Action Space Definition",
   "zh": "状态与动作空间定义",
   "level": "l3"
  },
  "CAP_e06459d5": {
   "en": "RL Algorithm Training",
   "zh": "强化学习算法训练",
   "level": "l3"
  },
  "CAP_6bba21f0": {
   "en": "Model Compression and Quantization",
   "zh": "模型压缩与量化",
   "level": "l3"
  },
  "CAP_8f177f91": {
   "en": "Embedded Code Generation",
   "zh": "嵌入式代码生成",
   "level": "l3"
  },
  "CAP_4f3363fd": {
   "en": "Real-Time Inference Execution",
   "zh": "实时推理执行",
   "level": "l3"
  },
  "CAP_66ebeac0": {
   "en": "Safe Exploration Deployment",
   "zh": "安全探索部署",
   "level": "l2"
  },
  "CAP_486187ed": {
   "en": "Hardware Overcurrent Protection",
   "zh": "硬件过流保护",
   "level": "l3"
  },
  "CAP_666a95a7": {
   "en": "Uncertainty Monitoring and PI Fallback",
   "zh": "不确定性监测与PI回退",
   "level": "l3"
  },
  "CAP_cc43a474": {
   "en": "Online Adaptation via Meta-Learning",
   "zh": "基于元学习的在线自适应",
   "level": "l3"
  },
  "CAP_b6926483": {
   "en": "Neuromorphic Event-driven Perception",
   "zh": "神经形态事件驱动感知",
   "level": "l2"
  },
  "CAP_602b4f8f": {
   "en": "Neuromorphic Sensor Switching",
   "zh": "神经形态传感器切换",
   "level": "l3"
  },
  "CAP_b3f5c428": {
   "en": "Sparse Event Denoising",
   "zh": "稀疏事件去噪",
   "level": "l3"
  },
  "CAP_d72baac2": {
   "en": "SNN-based Object Detection",
   "zh": "基于SNN的目标检测",
   "level": "l3"
  },
  "CAP_da9911fd": {
   "en": "Power-aware Perception Adapter",
   "zh": "功耗感知感知适配器",
   "level": "l3"
  },
  "CAP_b988ddaf": {
   "en": "Model Compression and Adaptive Inference",
   "zh": "模型压缩与自适应推理",
   "level": "l2"
  },
  "CAP_879da6ee": {
   "en": "Model Switch on Low Power",
   "zh": "低功耗模型切换",
   "level": "l3"
  },
  "CAP_9a3ecd6c": {
   "en": "Adaptive Frame Skipping",
   "zh": "自适应跳帧推理",
   "level": "l3"
  },
  "CAP_efde284e": {
   "en": "Early Exit Inference",
   "zh": "早退推理",
   "level": "l3"
  },
  "CAP_6804983e": {
   "en": "Precision Degradation Control",
   "zh": "精度降级控制",
   "level": "l3"
  },
  "CAP_733b2ba8": {
   "en": "Inference Quality Monitor",
   "zh": "推理质量监控",
   "level": "l3"
  },
  "CAP_bc524f74": {
   "en": "Embodied Energy-aware Planning",
   "zh": "具身节能运动规划",
   "level": "l2"
  },
  "CAP_ae42d64e": {
   "en": "Energy-aware Trajectory Optimization",
   "zh": "节能轨迹优化",
   "level": "l3"
  },
  "CAP_502a0558": {
   "en": "Energy-aware RL Policy",
   "zh": "节能强化学习策略",
   "level": "l3"
  },
  "CAP_1fe53ead": {
   "en": "Online Gait Adaptation",
   "zh": "在线步态自适应",
   "level": "l3"
  },
  "CAP_f3b50897": {
   "en": "Regenerative Braking Planning",
   "zh": "再生制动节能规划",
   "level": "l3"
  },
  "CAP_675d28c9": {
   "en": "LQR Gain Design",
   "zh": "LQR增益设计",
   "level": "l3"
  },
  "CAP_c97677de": {
   "en": "Humanoid Whole-Body DDP Walking",
   "zh": "人形全身DDP行走",
   "level": "l3"
  },
  "CAP_7001cfff": {
   "en": "GPS LQR Trajectory Optimization",
   "zh": "GPS的LQR轨迹优化",
   "level": "l3"
  },
  "CAP_9c48e5be": {
   "en": "Artificial Landmark Deployment and Sensing",
   "zh": "人工磁性地标部署与传感",
   "level": "l2"
  },
  "CAP_20b30a52": {
   "en": "Artificial Magnetic Landmark Deployment and Calibration",
   "zh": "人工磁性地标部署与标定",
   "level": "l3"
  },
  "CAP_e628b71c": {
   "en": "Hall Sensor Magnetic Signal Acquisition and Calibration",
   "zh": "Hall 传感器磁信号采集与校准",
   "level": "l3"
  },
  "CAP_24189072": {
   "en": "Magnetic Landmark Detection and Estimation",
   "zh": "磁性地标检测与估计",
   "level": "l2"
  },
  "CAP_e099d197": {
   "en": "Magnetic Landmark Pattern Detection and Recognition",
   "zh": "磁性地标模式检测与识别",
   "level": "l3"
  },
  "CAP_8149884e": {
   "en": "Landmark Geometric Center Sequential Estimation",
   "zh": "地标几何中心顺序估计",
   "level": "l3"
  },
  "CAP_6641e9fb": {
   "en": "Magnetic Landmark Pose and Tracking",
   "zh": "磁性地标位姿与跟踪",
   "level": "l2"
  },
  "CAP_a91cfc61": {
   "en": "Magnetic Landmark-based Pose Error Compensation",
   "zh": "基于磁性地标的位姿误差补偿",
   "level": "l3"
  },
  "CAP_a87268ca": {
   "en": "Multi-Landmark Cyclic Tracking and Localization",
   "zh": "多磁性地标循环跟踪定位",
   "level": "l3"
  },
  "CAP_7dfb7404": {
   "en": "Natural Magnetic Anomaly Mapping and Calibration",
   "zh": "自然磁场异常建图与校准",
   "level": "l2"
  },
  "CAP_4a22ff54": {
   "en": "Magnetic Fingerprint Map Construction",
   "zh": "磁场指纹地图构建",
   "level": "l3"
  },
  "CAP_387b84a0": {
   "en": "Magnetometer Online Calibration",
   "zh": "磁力计在线校准",
   "level": "l3"
  },
  "CAP_e22bd762": {
   "en": "Magnetic Sequence Matching and Fusion",
   "zh": "磁场序列匹配与融合",
   "level": "l2"
  },
  "CAP_c5fb307b": {
   "en": "Magnetic Sequence Matching Localization",
   "zh": "磁场序列匹配定位",
   "level": "l3"
  },
  "CAP_8e92d6e9": {
   "en": "Magnetic-Inertial Fusion State Estimation",
   "zh": "磁惯融合状态估计",
   "level": "l3"
  },
  "CAP_67fc90e2": {
   "en": "Geomagnetic Loop Closure Detection and Correction",
   "zh": "地磁回环检测与校正",
   "level": "l3"
  },
  "CAP_2b275f18": {
   "en": "Gaussian Process Magnetic Field Map Modeling",
   "zh": "高斯过程磁场地图建模",
   "level": "l3"
  },
  "CAP_f4b11726": {
   "en": "Magnetic Anomaly Sequence Localization Model Training",
   "zh": "磁异常序列定位模型训练",
   "level": "l2"
  },
  "CAP_0c0421bc": {
   "en": "Real-time Magnetic Anomaly Position Inference",
   "zh": "实时磁异常位置推断",
   "level": "l3"
  },
  "CAP_fb5f0a04": {
   "en": "Learning-based Magnetic-Inertial Fusion State Estimation",
   "zh": "学习型磁惯融合状态估计",
   "level": "l3"
  },
  "CAP_890eb1e2": {
   "en": "Magnetic Sequence Acquisition",
   "zh": "地磁序列采集",
   "level": "l3"
  },
  "CAP_842906a0": {
   "en": "Magnetic Map Loading & Interpolation",
   "zh": "地磁基准图加载与插值",
   "level": "l3"
  },
  "CAP_dbde5580": {
   "en": "Coarse Magnetic Sequence Matching",
   "zh": "磁序列粗匹配",
   "level": "l3"
  },
  "CAP_e42725a8": {
   "en": "Fine Magnetic Matching & IPSO Fusion Search",
   "zh": "磁序列精匹配与IPSO融合搜索",
   "level": "l3"
  },
  "CAP_234187c0": {
   "en": "Lane Determination",
   "zh": "车道判定",
   "level": "l3"
  },
  "CAP_e6d9dcd2": {
   "en": "Magnetometer Array Acquisition & Synchronization",
   "zh": "磁力计阵列数据采集与同步",
   "level": "l3"
  },
  "CAP_df9caf25": {
   "en": "Magnetic Odometry Extraction",
   "zh": "磁里程计提取",
   "level": "l3"
  },
  "CAP_e4aebf6d": {
   "en": "Local Magnetic Field Model Building",
   "zh": "局部磁场模型构建",
   "level": "l3"
  },
  "CAP_8d004577": {
   "en": "Global Magnetic Field Map Building & GP Regression",
   "zh": "全局磁场地图构建与GP回归",
   "level": "l3"
  },
  "CAP_78d06c3f": {
   "en": "Magnetometer Data Acquisition & Calibration",
   "zh": "磁力计数据采集与校准",
   "level": "l3"
  },
  "CAP_9d7f43ee": {
   "en": "IGRF Geomagnetic Reference Field Subtraction",
   "zh": "IGRF地磁参考场扣除",
   "level": "l3"
  },
  "CAP_66d435b3": {
   "en": "Magnetic Anomaly Differential/Gradient Measurement",
   "zh": "磁异常差分/梯度测量",
   "level": "l3"
  },
  "CAP_dd9d37f9": {
   "en": "Magnetic Field Simulation Data Generation",
   "zh": "磁场仿真数据生成",
   "level": "l3"
  },
  "CAP_050bf468": {
   "en": "Magnetic Dipole Model Correction",
   "zh": "磁偶极模型校正",
   "level": "l3"
  },
  "CAP_0ebeb0c9": {
   "en": "Learned Magnetic Localization",
   "zh": "学习型磁定位",
   "level": "l3"
  },
  "CAP_876459cd": {
   "en": "Uncertainty-Aware Active Navigation Planning",
   "zh": "不确定性感知主动导航规划",
   "level": "l3"
  },
  "CAP_3f1ed235": {
   "en": "Geomagnetic Constraint Construction",
   "zh": "地磁约束构建",
   "level": "l3"
  },
  "CAP_207f86c4": {
   "en": "Adaptive Fusion Weighting",
   "zh": "自适应融合权重",
   "level": "l3"
  },
  "CAP_e12e7c28": {
   "en": "Magnetic Tape Path-Following Docking",
   "zh": "磁引导线循迹对接",
   "level": "l2"
  },
  "CAP_d08f0576": {
   "en": "Magnetic Tape Deployment and Path Encoding",
   "zh": "磁条部署与路径编码",
   "level": "l3"
  },
  "CAP_cafa0a93": {
   "en": "Magnetic Tape Lateral Deviation Detection",
   "zh": "磁条横向偏差检测",
   "level": "l3"
  },
  "CAP_cde45d17": {
   "en": "Magnetic Tape Angle Measurement and Curvature Prediction",
   "zh": "磁条角度测量与曲率预测",
   "level": "l3"
  },
  "CAP_e084c967": {
   "en": "PID Deviation Correction Control",
   "zh": "PID 纠偏控制",
   "level": "l3"
  },
  "CAP_7021aee1": {
   "en": "Magnetic Marker Detection and Docking Stop",
   "zh": "磁标记检测与对接停靠",
   "level": "l3"
  },
  "CAP_77c2a01b": {
   "en": "Magnetic Nail Grid Localization Docking",
   "zh": "磁钉网格定位对接",
   "level": "l2"
  },
  "CAP_79dbc103": {
   "en": "Magnetic Nail Array Deployment and Coordinate Setup",
   "zh": "磁钉阵列部署与坐标系建立",
   "level": "l3"
  },
  "CAP_e904eab1": {
   "en": "Magnetic Nail Field Strength Detection",
   "zh": "磁钉磁场强度检测",
   "level": "l3"
  },
  "CAP_6a24eb34": {
   "en": "Magnetic Dipole Model Localization Solver",
   "zh": "磁偶极子模型定位解算",
   "level": "l3"
  },
  "CAP_8d82a720": {
   "en": "Magnetic Nail-Odometry Weighted Fusion Localization",
   "zh": "磁钉-里程计加权融合定位",
   "level": "l3"
  },
  "CAP_e60d90af": {
   "en": "Active EM Beacon 3D Docking Guidance",
   "zh": "主动电磁信标三维引导对接",
   "level": "l2"
  },
  "CAP_572392e1": {
   "en": "EM Beacon Deployment and Low-Frequency EM Field Generation",
   "zh": "EM Beacon 部署与低频电磁场发射",
   "level": "l3"
  },
  "CAP_f1b234a8": {
   "en": "Visual Initialization Pose Solver",
   "zh": "视觉初始化位姿解算",
   "level": "l3"
  },
  "CAP_c4fbff4d": {
   "en": "Triaxial Magnetic Field Signal Acquisition",
   "zh": "三轴磁场信号采集",
   "level": "l3"
  },
  "CAP_b2b82d51": {
   "en": "Signal Amplitude and Phase Extraction",
   "zh": "信号幅值相位提取",
   "level": "l3"
  },
  "CAP_26d591a7": {
   "en": "Magnetic Dipole Model 3D Localization Solver",
   "zh": "磁偶极子模型 3D 定位解算",
   "level": "l3"
  },
  "CAP_23430cba": {
   "en": "AUV Terminal Guidance Control",
   "zh": "AUV 终端引导控制",
   "level": "l3"
  },
  "CAP_ed035dcc": {
   "en": "Permanent Magnet Short-Range Field Guidance Docking",
   "zh": "永磁体近距磁场引导对接",
   "level": "l2"
  },
  "CAP_08f19abc": {
   "en": "Low Battery SOC Estimation and Charge Return Triggering",
   "zh": "低电量 SOC 估算与回充触发",
   "level": "l3"
  },
  "CAP_6b122fc6": {
   "en": "Infrared Beacon Coarse Direction Guidance",
   "zh": "红外信标粗定向引导",
   "level": "l3"
  },
  "CAP_97ac589a": {
   "en": "Magnetic PogoPin Auto-Docking Charging",
   "zh": "磁吸 PogoPin 自动对接充电",
   "level": "l3"
  },
  "CAP_8a0c50c4": {
   "en": "Permanent Magnet Array Field Gradient Differential Alignment",
   "zh": "永磁阵列磁场梯度差分对准",
   "level": "l3"
  },
  "CAP_3afa3950": {
   "en": "Paradigm Selection",
   "zh": "匹配范式选择",
   "level": "l3"
  },
  "CAP_25650bfd": {
   "en": "DTW Sequence Matching Pipeline",
   "zh": "DTW序列匹配流水线",
   "level": "l3"
  },
  "CAP_214e8182": {
   "en": "Offline Fingerprint Database Construction",
   "zh": "离线指纹库构建",
   "level": "l3"
  },
  "CAP_e1724b1d": {
   "en": "Real-time Magnetic Sequence Acquisition & Preprocessing",
   "zh": "实时磁场序列采集与预处理",
   "level": "l3"
  },
  "CAP_fdc405e7": {
   "en": "DTW Sequence Similarity Computation",
   "zh": "DTW序列相似度计算",
   "level": "l3"
  },
  "CAP_ebcdc8eb": {
   "en": "Position Estimation & Output",
   "zh": "位置估计与输出",
   "level": "l3"
  },
  "CAP_06c6aa64": {
   "en": "ICCP/MAGCOM Contour Matching Pipeline",
   "zh": "ICCP/MAGCOM轮廓匹配流水线",
   "level": "l3"
  },
  "CAP_9381af48": {
   "en": "Geomagnetic Reference Map Construction",
   "zh": "地磁基准图构建",
   "level": "l3"
  },
  "CAP_41f6ba48": {
   "en": "INS Initial Trajectory Acquisition",
   "zh": "INS初始轨迹获取",
   "level": "l3"
  },
  "CAP_f4cbc4b5": {
   "en": "MAGCOM Coarse Matching",
   "zh": "MAGCOM粗匹配",
   "level": "l3"
  },
  "CAP_bf7d680f": {
   "en": "ICCP Fine Matching",
   "zh": "ICCP精匹配",
   "level": "l3"
  },
  "CAP_1cf8e401": {
   "en": "Particle Filter Magnetic Fusion",
   "zh": "粒子滤波磁指纹融合",
   "level": "l3"
  },
  "CAP_d3f2324c": {
   "en": "EKF Magnetic Fusion",
   "zh": "扩展卡尔曼滤波磁指纹融合",
   "level": "l3"
  },
  "CAP_aa0f5143": {
   "en": "Magnetic Fingerprint Sequence Matching",
   "zh": "磁指纹序列匹配",
   "level": "l3"
  },
  "CAP_3e1e831e": {
   "en": "Adaptive Resampling Strategy",
   "zh": "自适应重采样策略",
   "level": "l3"
  },
  "CAP_8a1b3526": {
   "en": "CNN End-to-End Regression Pipeline",
   "zh": "CNN端到端回归流水线",
   "level": "l3"
  },
  "CAP_47ea1d94": {
   "en": "LSTM/GRU Sequence Localization Pipeline",
   "zh": "LSTM/GRU序列定位流水线",
   "level": "l3"
  },
  "CAP_0b9fe8b6": {
   "en": "Transformer/Mamba Localization Pipeline",
   "zh": "Transformer/Mamba定位流水线",
   "level": "l3"
  },
  "CAP_840d868c": {
   "en": "Magnetic Training Data Collection",
   "zh": "地磁训练数据采集与预处理",
   "level": "l3"
  },
  "CAP_0a38b137": {
   "en": "Real-time Magnetic Feature Extraction",
   "zh": "实时磁场特征提取",
   "level": "l3"
  },
  "CAP_16fa234b": {
   "en": "Sequence Fingerprint DB Construction",
   "zh": "序列指纹库构建",
   "level": "l3"
  },
  "CAP_795df34f": {
   "en": "Real-time Magnetic Sequence Acquisition",
   "zh": "实时地磁序列采集",
   "level": "l3"
  },
  "CAP_d640c2be": {
   "en": "Multi-scale Magnetic Sequence Construction",
   "zh": "多尺度磁场序列构建",
   "level": "l3"
  },
  "CAP_141c9660": {
   "en": "Real-time Multi-scale Sequence Acquisition",
   "zh": "实时多尺度序列采集",
   "level": "l3"
  },
  "CAP_14d97a61": {
   "en": "Multi-modal Fingerprint DB Construction",
   "zh": "多模态指纹库构建",
   "level": "l3"
  },
  "CAP_c295e664": {
   "en": "Decision-level Multi-modal Fusion",
   "zh": "决策层多模态融合定位",
   "level": "l3"
  },
  "CAP_7c9f2e10": {
   "en": "Modal Availability Detection",
   "zh": "模态可用性检测与自适应权重",
   "level": "l3"
  },
  "CAP_5eb1c068": {
   "en": "Feature-level Multi-modal Fusion Network",
   "zh": "特征层多模态融合网络",
   "level": "l3"
  },
  "CAP_9ff91bd9": {
   "en": "Sparse Magnetic Field Survey",
   "zh": "稀疏磁场测量数据采集",
   "level": "l3"
  },
  "CAP_a8f5a8f8": {
   "en": "Reverse Current Demagnetization",
   "zh": "反向电流消磁",
   "level": "l3"
  },
  "CAP_0e310eda": {
   "en": "ATI Net F/T Driver",
   "zh": "ATI Net F/T驱动",
   "level": "l3"
  },
  "CAP_a4605598": {
   "en": "Franka Cartesian Impedance Control",
   "zh": "Franka笛卡尔阻抗控制",
   "level": "l3"
  },
  "CAP_ef2c4962": {
   "en": "CHN-EPM Circular Halbach Array Design",
   "zh": "CHN-EPM圆形Halbach阵列设计",
   "level": "l3"
  },
  "CAP_79bf2704": {
   "en": "Adhesion-Locomotion Coordination",
   "zh": "吸附-移动协同",
   "level": "l2"
  },
  "CAP_035bc61a": {
   "en": "Multi-Unit Adhesion Scheduling",
   "zh": "多单元吸附调度",
   "level": "l3"
  },
  "CAP_b147b20b": {
   "en": "Wall Transition & Obstacle Crossing Adaptation",
   "zh": "壁面过渡与越障适应",
   "level": "l3"
  },
  "CAP_33e75275": {
   "en": "Reference Point Grid Planning",
   "zh": "参考点网格规划",
   "level": "l3"
  },
  "CAP_6c895e47": {
   "en": "Magnetic Fingerprint Database Construction",
   "zh": "地磁指纹数据库构建",
   "level": "l3"
  },
  "CAP_33b33242": {
   "en": "Position Confidence Estimation",
   "zh": "定位置信度估计",
   "level": "l3"
  },
  "CAP_cff6e363": {
   "en": "Rotation Invariant Magnetic Feature Extraction",
   "zh": "磁力计旋转不变特征提取",
   "level": "l3"
  },
  "CAP_61dbc585": {
   "en": "Magnetic Fingerprint Data Augmentation",
   "zh": "地磁指纹数据增强",
   "level": "l3"
  },
  "CAP_8d92fc3b": {
   "en": "Magnetic Fingerprint Reference Map Construction",
   "zh": "地磁指纹参考地图构建（含观测方差）",
   "level": "l3"
  },
  "CAP_971318b9": {
   "en": "PDR Gait Detection and Step Length Estimation",
   "zh": "PDR 步态检测与步长估计",
   "level": "l3"
  },
  "CAP_4ac445dd": {
   "en": "Magnetic Observation Likelihood Construction",
   "zh": "地磁观测似然函数构建",
   "level": "l3"
  },
  "CAP_cb6cbc8d": {
   "en": "Magnetic Sequence Spatial Feature Extraction",
   "zh": "地磁序列空间特征提取",
   "level": "l3"
  },
  "CAP_4a28d4b3": {
   "en": "Equivalent Magnetic Dipole Field Modeling",
   "zh": "等效磁偶极子磁场建模",
   "level": "l3"
  },
  "CAP_a4290781": {
   "en": "Grid Path Design",
   "zh": "网格路径生成",
   "level": "l3"
  },
  "CAP_21dfe2a5": {
   "en": "Magnetometer Calibration and Coordinate Transform",
   "zh": "磁力计校准与坐标变换",
   "level": "l2"
  },
  "CAP_ee4d0473": {
   "en": "Attitude Estimation and Magnetic Coordinate Transform",
   "zh": "姿态估计与磁场坐标系变换",
   "level": "l3"
  },
  "CAP_beb0f14b": {
   "en": "Field Position Gridding",
   "zh": "磁场位置栅格化",
   "level": "l3"
  },
  "CAP_1b8eecc9": {
   "en": "Spatial Interpolation",
   "zh": "空间插值执行",
   "level": "l3"
  },
  "CAP_ab9f755b": {
   "en": "Map Quality Evaluation",
   "zh": "地图质量评估执行",
   "level": "l3"
  },
  "CAP_2993306d": {
   "en": "Sparse Magnetic Survey",
   "zh": "稀疏磁场测量执行",
   "level": "l3"
  },
  "CAP_e956fce3": {
   "en": "Mag Calibration and Outlier Removal",
   "zh": "校准与异常剔除执行",
   "level": "l3"
  },
  "CAP_a5552fd5": {
   "en": "GP Model Construction",
   "zh": "GP模型构建执行",
   "level": "l3"
  },
  "CAP_b4c7050b": {
   "en": "GP Hyperparameter Tuning",
   "zh": "超参数调优执行",
   "level": "l3"
  },
  "CAP_668a9e46": {
   "en": "Field Prediction with Uncertainty",
   "zh": "不确定性预测执行",
   "level": "l3"
  },
  "CAP_4db88dac": {
   "en": "Adaptive Sampling",
   "zh": "自适应采样执行",
   "level": "l3"
  },
  "CAP_0184a9b9": {
   "en": "Crowd Sensor Data Collection",
   "zh": "众包传感器数据采集执行",
   "level": "l3"
  },
  "CAP_53f5c217": {
   "en": "PDR Execution",
   "zh": "PDR推算执行",
   "level": "l3"
  },
  "CAP_d417ba1d": {
   "en": "Trajectory Graph Optimization",
   "zh": "轨迹图优化执行",
   "level": "l3"
  },
  "CAP_6fe8181d": {
   "en": "Magnetic Sequence Alignment",
   "zh": "地磁序列对齐执行",
   "level": "l3"
  },
  "CAP_5f4214ab": {
   "en": "Crowd Fingerprint Gridding",
   "zh": "众包指纹网格化执行",
   "level": "l3"
  },
  "CAP_0af5a76c": {
   "en": "Fingerprint Map Maintenance",
   "zh": "指纹地图维护执行",
   "level": "l3"
  },
  "CAP_22a92b3d": {
   "en": "Robot Self-Interference Calibration",
   "zh": "机器人自干扰标定",
   "level": "l3"
  },
  "CAP_75cf4749": {
   "en": "Fusion Odometry",
   "zh": "融合里程计",
   "level": "l3"
  },
  "CAP_eb1be68f": {
   "en": "Online Self-Interference Compensation",
   "zh": "在线自干扰补偿",
   "level": "l3"
  },
  "CAP_895c7df3": {
   "en": "Magnetic-Pose Observation Management",
   "zh": "磁场-位姿观测管理",
   "level": "l3"
  },
  "CAP_d1e2931b": {
   "en": "AHRS Magnetometer-IMU Fusion",
   "zh": "磁力计-IMU 经典滤波融合（AHRS）",
   "level": "l2"
  },
  "CAP_f21f225e": {
   "en": "Complementary Filter Attitude Estimation",
   "zh": "互补滤波姿态估计",
   "level": "l3"
  },
  "CAP_42e26032": {
   "en": "EKF Magnetometer Heading Update",
   "zh": "EKF 磁力计航向观测更新",
   "level": "l3"
  },
  "CAP_db814465": {
   "en": "Magnetometer-Inertial-Visual-LiDAR Multimodal Fusion",
   "zh": "磁力计-惯性-视觉/LiDAR 多模态融合定位",
   "level": "l2"
  },
  "CAP_315f585d": {
   "en": "Magnetometer Heading EKF Loosely-coupled Fusion",
   "zh": "磁力计航向 EKF 松耦合融合",
   "level": "l3"
  },
  "CAP_93bd27da": {
   "en": "Magnetometer Factor-graph Tightly-coupled Fusion",
   "zh": "磁力计因子图紧耦合融合",
   "level": "l3"
  },
  "CAP_a0f7870b": {
   "en": "Geomagnetic Map Freshness Maintenance",
   "zh": "地磁图新鲜度维护与增量更新",
   "level": "l3"
  },
  "CAP_1fa8214d": {
   "en": "Offline Geomagnetic Fingerprint Map Construction",
   "zh": "离线地磁指纹地图构建",
   "level": "l3"
  },
  "CAP_2f443108": {
   "en": "Geomagnetic Sequence Sliding-window Matching",
   "zh": "地磁序列滑动窗口匹配",
   "level": "l3"
  },
  "CAP_157f6bb7": {
   "en": "Magnetometer Heading Estimation",
   "zh": "磁力计航向估计",
   "level": "l3"
  },
  "CAP_f88760e1": {
   "en": "UWB NLOS Degradation & Sensor Fallback",
   "zh": "UWB NLOS 退化检测与传感器降级",
   "level": "l3"
  },
  "CAP_72941aee": {
   "en": "Learning-based Magnetometer-Inertial Deep Fusion",
   "zh": "学习型磁力计-惯性深度特征融合",
   "level": "l2"
  },
  "CAP_6c6e52d5": {
   "en": "GNN Deep Sensor Fusion Feature Extraction",
   "zh": "GNN 深度传感器融合特征提取",
   "level": "l3"
  },
  "CAP_0f7218ab": {
   "en": "End-to-end Localization Regression Head",
   "zh": "端到端定位回归头",
   "level": "l3"
  },
  "CAP_b325b5ad": {
   "en": "End-to-end Training & Model Deployment",
   "zh": "端到端训练与模型部署",
   "level": "l3"
  },
  "CAP_32a7dc3e": {
   "en": "Magnetic SLAM",
   "zh": "磁场SLAM",
   "level": "l2"
  },
  "CAP_9db471ca": {
   "en": "RBPF Pose Estimation",
   "zh": "RBPF粒子滤波位姿估计",
   "level": "l3"
  },
  "CAP_7fefeb5c": {
   "en": "Reduced-Rank GP Magnetic Field Mapping",
   "zh": "降阶高斯过程磁场地图构建",
   "level": "l3"
  },
  "CAP_d798af30": {
   "en": "Particle Resampling and Degeneracy Control",
   "zh": "粒子重采样与退化控制",
   "level": "l3"
  },
  "CAP_5a81801b": {
   "en": "ESKF Inertial Navigation Prediction",
   "zh": "ESKF惯性导航预测",
   "level": "l3"
  },
  "CAP_1c928607": {
   "en": "Magnetometer Array Observation Model",
   "zh": "磁力计阵列观测模型与融合",
   "level": "l3"
  },
  "CAP_adfee5fd": {
   "en": "Magnetic Loop Closure Detection",
   "zh": "磁场回环检测与地图修正",
   "level": "l3"
  },
  "CAP_315c729a": {
   "en": "Low-Cost Magnetometer Array Calibration",
   "zh": "低成本磁力计阵列校准",
   "level": "l3"
  },
  "CAP_9ea7f4f4": {
   "en": "Frontend Kalman Filter Geomagnetic-Inertial Estimation",
   "zh": "前端卡尔曼滤波地磁惯性估计",
   "level": "l3"
  },
  "CAP_39905110": {
   "en": "Geomagnetic Loop Closure Detection with Dual Verification",
   "zh": "地磁回环检测与双重验证",
   "level": "l3"
  },
  "CAP_10f0ae98": {
   "en": "Keyframe Scoring and Management",
   "zh": "关键帧评分与管理",
   "level": "l3"
  },
  "CAP_f6f21818": {
   "en": "NV Center Quantum Magnetometer Field Measurement",
   "zh": "NV色心量子磁力计磁场测量",
   "level": "l3"
  },
  "CAP_942f09c8": {
   "en": "Bayesian Active Sampling Strategy",
   "zh": "贝叶斯主动采样策略",
   "level": "l3"
  },
  "CAP_73eec2ed": {
   "en": "Quantum-Classical Fusion Localization",
   "zh": "量子-经典融合定位",
   "level": "l3"
  },
  "CAP_a69a9b6e": {
   "en": "MILP/CP-SAT Problem Modeling",
   "zh": "MILP/CP-SAT 问题建模",
   "level": "l2"
  },
  "CAP_26d935eb": {
   "en": "Flexible Job Shop MILP Modeling",
   "zh": "柔性作业车间调度 MILP 建模",
   "level": "l3"
  },
  "CAP_899f3e9f": {
   "en": "Task and Resource Data Acquisition",
   "zh": "任务与资源数据采集",
   "level": "l3"
  },
  "CAP_d20ba61a": {
   "en": "MILP/CP-SAT Solver Execution",
   "zh": "MILP/CP-SAT 求解器执行与优化",
   "level": "l2"
  },
  "CAP_f2485ef4": {
   "en": "CP-SAT MILP Solver Execution",
   "zh": "约束规划/MILP 求解执行",
   "level": "l3"
  },
  "CAP_e8e40757": {
   "en": "Solution Feasibility Verification",
   "zh": "解可行性验证",
   "level": "l3"
  },
  "CAP_0022305a": {
   "en": "Schedule Generation and Output",
   "zh": "调度生成与输出",
   "level": "l2"
  },
  "CAP_8b3f856219": {
   "en": "Schedule Extraction and Serialization",
   "zh": "调度方案提取与序列化",
   "level": "l3"
  },
  "CAP_c7cd5e25": {
   "en": "Gantt Schedule Visualization",
   "zh": "甘特图/调度可视化",
   "level": "l3"
  },
  "CAP_2021a7c9": {
   "en": "Dynamic Rescheduling (Optional)",
   "zh": "动态重调度（可选）",
   "level": "l2"
  },
  "CAP_a6264cbf": {
   "en": "Partial Rescheduling",
   "zh": "局部重调度",
   "level": "l3"
  },
  "CAP_e0a9ed26": {
   "en": "Incremental Schedule Update",
   "zh": "增量更新",
   "level": "l3"
  },
  "CAP_aa7d42de": {
   "en": "Problem Modeling and Task Publishing",
   "zh": "问题建模与任务发布",
   "level": "l2"
  },
  "CAP_7c9c8954": {
   "en": "Task Specification and Robot Capability Modeling",
   "zh": "任务规格化与机器人能力建模",
   "level": "l3"
  },
  "CAP_2f4043cd": {
   "en": "Task Publishing and Bid Initiation",
   "zh": "任务发布与招标启动",
   "level": "l3"
  },
  "CAP_5a0b60ab": {
   "en": "Marginal Gain Evaluation",
   "zh": "边际收益评估",
   "level": "l3"
  },
  "CAP_ee81e924": {
   "en": "Bid Generation",
   "zh": "出价生成",
   "level": "l3"
  },
  "CAP_3dad77a5": {
   "en": "Temporal-Consensus Scheduling",
   "zh": "联合时间窗一致性调度",
   "level": "l3"
  },
  "CAP_482febe4": {
   "en": "Consensus and Conflict Resolution",
   "zh": "一致性共识与冲突消解",
   "level": "l2"
  },
  "CAP_db003f6f": {
   "en": "Assignment Convergence",
   "zh": "分配收敛",
   "level": "l3"
  },
  "CAP_fa696332": {
   "en": "Distributed Constraint Optimization",
   "zh": "分布式约束优化求解",
   "level": "l3"
  },
  "CAP_5cdd02d4": {
   "en": "Schedule Execution and Reallocation",
   "zh": "调度执行与重分配",
   "level": "l2"
  },
  "CAP_2820dc89": {
   "en": "Schedule Execution",
   "zh": "调度方案执行",
   "level": "l3"
  },
  "CAP_66df9348": {
   "en": "DRL Scheduling MDP Formulation",
   "zh": "深度强化学习调度 MDP 建模",
   "level": "l2"
  },
  "CAP_a9cfe00b": {
   "en": "Heterogeneous Graph Scheduling State Encoding",
   "zh": "异构图调度状态编码",
   "level": "l3"
  },
  "CAP_b7629498": {
   "en": "MDP Environment Interface",
   "zh": "MDP 环境接口构建",
   "level": "l3"
  },
  "CAP_56d90756": {
   "en": "DRL Policy Training and Optimization",
   "zh": "策略训练与优化",
   "level": "l2"
  },
  "CAP_8ef054a6": {
   "en": "Actor-Critic Policy Network",
   "zh": "Actor-Critic 策略网络",
   "level": "l3"
  },
  "CAP_1299ce41": {
   "en": "Model Evaluation and Convergence",
   "zh": "模型评估与收敛判断",
   "level": "l3"
  },
  "CAP_04174ccf": {
   "en": "Online Real-time Scheduling Deployment",
   "zh": "在线实时调度部署",
   "level": "l2"
  },
  "CAP_746e2c4d": {
   "en": "Schedule Decision Output",
   "zh": "调度方案输出",
   "level": "l3"
  },
  "CAP_c3c70ab7": {
   "en": "Dynamic Scheduling Disturbance Adaptation",
   "zh": "动态调度扰动适应",
   "level": "l2"
  },
  "CAP_0355126e": {
   "en": "Disturbance Detection and Adaptation",
   "zh": "扰动检测与策略适应",
   "level": "l3"
  },
  "CAP_7bea10ee": {
   "en": "Problem Instance Definition",
   "zh": "问题实例定义",
   "level": "l3"
  },
  "CAP_d0adb9d2": {
   "en": "Durative Action Modeling",
   "zh": "持续动作建模",
   "level": "l3"
  },
  "CAP_ec04cd81": {
   "en": "Sampling Stream Definition",
   "zh": "采样流定义",
   "level": "l3"
  },
  "CAP_c2824d50": {
   "en": "Temporal Planning Solving",
   "zh": "时序规划求解",
   "level": "l2"
  },
  "CAP_28c06bda": {
   "en": "Temporal Constraint Propagation",
   "zh": "时序约束传播",
   "level": "l3"
  },
  "CAP_a7e690e6": {
   "en": "GPU Batch Acceleration",
   "zh": "GPU 批量加速",
   "level": "l3"
  },
  "CAP_efd7f9e4": {
   "en": "STN to BT Conversion",
   "zh": "计划到行为树转换",
   "level": "l3"
  },
  "CAP_6f181887": {
   "en": "Online Execution and Monitoring",
   "zh": "在线执行与监控",
   "level": "l3"
  },
  "CAP_ae736445": {
   "en": "Replanning and Adjustment",
   "zh": "重规划与调整",
   "level": "l3"
  },
  "CAP_600d28b9": {
   "en": "DAG Dependency Graph Construction",
   "zh": "任务依赖图构建",
   "level": "l2"
  },
  "CAP_2b33692a": {
   "en": "LLM-Driven Task DAG Construction",
   "zh": "LLM 驱动任务 DAG 构造",
   "level": "l3"
  },
  "CAP_481dba3a": {
   "en": "DAG Structure Verification and Correction",
   "zh": "DAG 结构验证与修正",
   "level": "l3"
  },
  "CAP_591c95bc": {
   "en": "Critical Path Analysis",
   "zh": "关键路径分析",
   "level": "l3"
  },
  "CAP_485dd1b90c": {
   "en": "Graph Re-Traversal Parallel Scheduling",
   "zh": "图重遍历双臂并行调度",
   "level": "l2"
  },
  "CAP_07d405d2": {
   "en": "Ready Node Detection",
   "zh": "候选节点就绪检测",
   "level": "l3"
  },
  "CAP_90932ffd": {
   "en": "Arm-Task Assignment",
   "zh": "臂-任务分配决策",
   "level": "l3"
  },
  "CAP_fec5c0ef": {
   "en": "Parallel Execution Scheduling",
   "zh": "并行执行调度",
   "level": "l3"
  },
  "CAP_716ace97": {
   "en": "Dynamic Rescheduling (DAG)",
   "zh": "动态重调度（DAG）",
   "level": "l3"
  },
  "CAP_0780949c": {
   "en": "Dual-Arm Schedule Serialization",
   "zh": "双臂调度方案序列化",
   "level": "l2"
  },
  "CAP_9a9d3a9d": {
   "en": "Makespan Evaluation",
   "zh": "makespan 评估",
   "level": "l3"
  },
  "CAP_8ed2e6b3": {
   "en": "Parallelism Optimization",
   "zh": "并行度优化",
   "level": "l3"
  },
  "CAP_013571b3": {
   "en": "Dual-Arm Timeline Output",
   "zh": "双臂调度方案输出",
   "level": "l3"
  },
  "CAP_deb3c679": {
   "en": "Musculoskeletal Model Construction",
   "zh": "肌肉骨骼模型构建",
   "level": "l3"
  },
  "CAP_4e3af32c": {
   "en": "Hill Muscle Dynamics Simulation",
   "zh": "Hill 型肌肉动力学仿真",
   "level": "l3"
  },
  "CAP_f6695db9": {
   "en": "Proprioceptive Sensing Simulation",
   "zh": "本体感觉传感仿真",
   "level": "l3"
  },
  "CAP_4fb5b16b": {
   "en": "Musculoskeletal RL Training",
   "zh": "肌肉骨骼强化学习训练",
   "level": "l3"
  },
  "CAP_fd92e22c": {
   "en": "Neuromusculoskeletal Motor Learning",
   "zh": "神经肌肉骨骼运动学习",
   "level": "l2"
  },
  "CAP_cbf936d1": {
   "en": "Hyperelastic Soft Body FEM Modeling",
   "zh": "超弹性软体有限元建模",
   "level": "l3"
  },
  "CAP_19b8ef7d": {
   "en": "Deformable Terrain Solver",
   "zh": "可变形地形求解器",
   "level": "l3"
  },
  "CAP_4dd463cd": {
   "en": "Rigid-Soft Coupling MBD",
   "zh": "刚柔耦合多体动力学",
   "level": "l3"
  },
  "CAP_5dbf6c5a": {
   "en": "Terrain Response Identification",
   "zh": "地形响应参数辨识",
   "level": "l3"
  },
  "CAP_371192c2": {
   "en": "Realtime ROM Acceleration",
   "zh": "实时降阶加速",
   "level": "l3"
  },
  "CAP_cd610bc9": {
   "en": "Quadruped Soft Terrain Simulation",
   "zh": "四足刚柔耦合越野仿真",
   "level": "l2"
  },
  "CAP_9724fc43": {
   "en": "Whole-Body Contact Sequence Planner",
   "zh": "全身接触序列规划器",
   "level": "l3"
  },
  "CAP_e230f336": {
   "en": "Dexterous Grasp Synthesis for Soft Tissue",
   "zh": "软组织灵巧抓取合成",
   "level": "l3"
  },
  "CAP_f180a833": {
   "en": "Contact-Rich Manipulation Simulator",
   "zh": "丰富接触操作仿真器",
   "level": "l3"
  },
  "CAP_35b6fdbc": {
   "en": "Contact Quality Evaluator",
   "zh": "接触质量评估器",
   "level": "l3"
  },
  "CAP_c257b31c": {
   "en": "Dexterous Whole-Body Contact Planning",
   "zh": "灵巧操作与全身接触规划",
   "level": "l2"
  },
  "CAP_12434f07": {
   "en": "Safety-critical Sensor Acquisition",
   "zh": "安全关键传感器采集与标定",
   "level": "l2"
  },
  "CAP_a24a9ac7": {
   "en": "Sensor Fusion & Fault Detection",
   "zh": "传感器融合与故障检测",
   "level": "l2"
  },
  "CAP_bbac37ee": {
   "en": "Redundancy Switch & Safe Degradation",
   "zh": "冗余切换与安全降级",
   "level": "l2"
  },
  "CAP_20405ff3": {
   "en": "Redundancy Switch Control",
   "zh": "冗余切换控制",
   "level": "l3"
  },
  "CAP_d692acd1": {
   "en": "Swarm Resource Discovery",
   "zh": "集群资源发现",
   "level": "l2"
  },
  "CAP_a096503a": {
   "en": "Cluster Resource Discovery",
   "zh": "集群资源发现",
   "level": "l3"
  },
  "CAP_04528638": {
   "en": "Swarm Policy Scheduling",
   "zh": "集群策略调度",
   "level": "l2"
  },
  "CAP_41be8391": {
   "en": "Policy-driven Scheduling",
   "zh": "策略驱动调度",
   "level": "l3"
  },
  "CAP_e0d74b14": {
   "en": "Swarm Lifecycle Orchestration",
   "zh": "集群生命周期编排",
   "level": "l2"
  },
  "CAP_a83bb205": {
   "en": "Lifecycle Coordinated Transition",
   "zh": "生命周期协同转换",
   "level": "l3"
  },
  "CAP_4f01e0a1": {
   "en": "Swarm Fault Resilience",
   "zh": "集群故障自愈",
   "level": "l2"
  },
  "CAP_b8b44c56": {
   "en": "Fault Detection & Rescheduling",
   "zh": "故障检测与重调度",
   "level": "l3"
  },
  "CAP_8b6bfb63": {
   "en": "Resource Fragmentation Defrag",
   "zh": "资源碎片整理",
   "level": "l3"
  },
  "CAP_4723fcab": {
   "en": "BT Dexterous Composition",
   "zh": "行为树灵巧操作组合",
   "level": "l2"
  },
  "CAP_fcb6c75a": {
   "en": "BT Dexterous Skill Sequencer",
   "zh": "行为树灵巧技能编排",
   "level": "l3"
  },
  "CAP_b9188d1e": {
   "en": "BT Lifecycle Adaptation",
   "zh": "行为树生命周期适配",
   "level": "l2"
  },
  "CAP_d91cdfb7": {
   "en": "BT Lifecycle Action Wrapper",
   "zh": "行为树生命周期动作封装",
   "level": "l3"
  },
  "CAP_2fd0bd54": {
   "en": "BT Blackboard Lifecycle Monitor",
   "zh": "行为树黑板状态监控",
   "level": "l3"
  },
  "CAP_e4129c36": {
   "en": "BT Recovery Subtree Composer",
   "zh": "行为树恢复子树生成",
   "level": "l3"
  },
  "CAP_6a014a9d": {
   "en": "Gradient Projection Manipulability Maximization",
   "zh": "基于梯度投影的可操作度最大化",
   "level": "l2"
  },
  "CAP_34c4df47": {
   "en": "Manipulability Measure and Gradient",
   "zh": "可操作度度量与梯度计算",
   "level": "l3"
  },
  "CAP_9ffcec12": {
   "en": "Adaptive Gain Scheduling",
   "zh": "自适应增益调度",
   "level": "l3"
  },
  "CAP_4a38a138": {
   "en": "Joint Velocity Synthesis",
   "zh": "关节速度合成",
   "level": "l3"
  },
  "CAP_484e5d53": {
   "en": "Manipulability Gradient QP Linearization",
   "zh": "可操作度梯度与QP线性化",
   "level": "l3"
  },
  "CAP_a99c9489": {
   "en": "Multi End-effector Manipulability Aggregation",
   "zh": "多末端可操作度聚合",
   "level": "l3"
  },
  "CAP_323e70d0": {
   "en": "QP Constraint Form Selection",
   "zh": "QP约束形式选择",
   "level": "l3"
  },
  "CAP_ebfc01fc": {
   "en": "QP Command Dispatch and State Update",
   "zh": "QP指令下发与状态更新",
   "level": "l3"
  },
  "CAP_9b489ac7": {
   "en": "Implicit Manipulability-Optimizing Policy Learning",
   "zh": "隐式可操作度优化策略学习",
   "level": "l2"
  },
  "CAP_c469c5fa": {
   "en": "Demonstration Trajectory Collection",
   "zh": "演示轨迹采集",
   "level": "l3"
  },
  "CAP_e5ae1c98": {
   "en": "Base Controller Construction",
   "zh": "基线控制器构建",
   "level": "l3"
  },
  "CAP_4eae1330": {
   "en": "Residual Policy Network Architecture Design",
   "zh": "残差策略网络设计",
   "level": "l3"
  },
  "CAP_2ab1debd": {
   "en": "Manipulability-Aware Reward Shaping",
   "zh": "可操作度感知奖励塑形",
   "level": "l3"
  },
  "CAP_7863e825": {
   "en": "Uncertainty-Aware Policy-Controller Fusion",
   "zh": "不确定性感知策略-控制器融合",
   "level": "l3"
  },
  "CAP_13995345": {
   "en": "VLM Deformable Tidying Benchmark",
   "zh": "VLM 柔性物体整理基准",
   "level": "l2"
  },
  "CAP_6a54683d": {
   "en": "VLM Deformable Semantic Perception",
   "zh": "VLM 柔性物体语义感知",
   "level": "l3"
  },
  "CAP_4103b086": {
   "en": "Semantic Goal Alignment",
   "zh": "语义目标对齐",
   "level": "l3"
  },
  "CAP_01d17698": {
   "en": "VLM Deformable Manipulation Planning",
   "zh": "VLM 柔性操作规划",
   "level": "l3"
  },
  "CAP_10fec951": {
   "en": "VLM Based Evaluation Judge",
   "zh": "VLM 自动评测裁判",
   "level": "l3"
  },
  "CAP_4c8313f9": {
   "en": "Cross Domain Generalization Assessment",
   "zh": "跨域泛化评测",
   "level": "l3"
  },
  "CAP_241f6a8c": {
   "en": "Dexterous Blind Grasping",
   "zh": "灵巧手盲盒抓取",
   "level": "l2"
  },
  "CAP_d74591c0": {
   "en": "Tactile Servoing Approach",
   "zh": "触觉伺服接近",
   "level": "l3"
  },
  "CAP_1ad65109": {
   "en": "In-Hand Object Property Inference",
   "zh": "手内物体属性推理",
   "level": "l3"
  },
  "CAP_56141c25": {
   "en": "Grasp Pose Online Optimization",
   "zh": "抓取姿态在线优化",
   "level": "l3"
  },
  "CAP_e00f642b": {
   "en": "Blind Object Identification",
   "zh": "盲盒物体辨识",
   "level": "l3"
  },
  "CAP_16960121": {
   "en": "Large-Scale In-The-Wild Teleop Data Collection",
   "zh": "大规模野外遥操作数据采集",
   "level": "l3"
  },
  "CAP_43bd23da": {
   "en": "Low-Cost Bimanual Teleop Data Collection",
   "zh": "低成本双臂遥操作数据采集",
   "level": "l3"
  },
  "CAP_16e8dd91": {
   "en": "RLDS Unification and Cross-Embodiment Pooling",
   "zh": "RLDS 统一与跨具身聚合",
   "level": "l3"
  },
  "CAP_932b70b2": {
   "en": "Vision-Language-Action Policy Training",
   "zh": "视觉-语言-动作策略训练",
   "level": "l3"
  },
  "CAP_c15cedb7": {
   "en": "OOD Robustness Evaluation",
   "zh": "分布外鲁棒性评测",
   "level": "l3"
  },
  "CAP_afade3b5": {
   "en": "Domain Randomization Env Setup",
   "zh": "域随机化仿真环境搭建",
   "level": "l3"
  },
  "CAP_6fb11ef1": {
   "en": "Privileged Information Extraction Pipeline",
   "zh": "特权信息提取管线",
   "level": "l2"
  },
  "CAP_443d94ae": {
   "en": "Privileged State Extraction",
   "zh": "特权状态提取",
   "level": "l3"
  },
  "CAP_95aac68e": {
   "en": "Sim-to-Real Grasp Execution Pipeline",
   "zh": "仿实抓取执行管线",
   "level": "l2"
  },
  "CAP_46b46452": {
   "en": "Sim-to-Real Grasp Execution",
   "zh": "仿实抓取执行",
   "level": "l3"
  },
  "CAP_dc83f761": {
   "en": "Online Grasp Policy Adaptation",
   "zh": "在线抓取策略适应",
   "level": "l3"
  },
  "CAP_7baeb5a2": {
   "en": "Contact Detection from Force Derivative",
   "zh": "基于力导数的接触检测",
   "level": "l3"
  },
  "CAP_86fb4b37": {
   "en": "Excitation and Data Acquisition Pipeline",
   "zh": "激励与数据采集管线",
   "level": "l2"
  },
  "CAP_7524ec5f": {
   "en": "Excitation Trajectory Generation",
   "zh": "激励轨迹生成",
   "level": "l3"
  },
  "CAP_9a3e89d3": {
   "en": "Synchronized Data Acquisition",
   "zh": "同步数据采集",
   "level": "l3"
  },
  "CAP_2ce41862": {
   "en": "Online Physical Parameter Identification Pipeline",
   "zh": "在线物理参数辨识管线",
   "level": "l2"
  },
  "CAP_93af2b12": {
   "en": "Online Stiffness-Damping Identification",
   "zh": "在线刚度-阻尼辨识",
   "level": "l3"
  },
  "CAP_dff50b68": {
   "en": "Geometric Bias Estimation",
   "zh": "几何偏差估计",
   "level": "l3"
  },
  "CAP_daa72a0d": {
   "en": "Domain Gap Quantification Pipeline",
   "zh": "域差异量化管线",
   "level": "l2"
  },
  "CAP_6b295119": {
   "en": "Domain Gap Quantification (Wasserstein)",
   "zh": "基于 Wasserstein 的域差异量化",
   "level": "l3"
  },
  "CAP_57c39b82": {
   "en": "Impedance Adaptation Pipeline",
   "zh": "阻抗自适应管线",
   "level": "l2"
  },
  "CAP_1ccd9071": {
   "en": "Impedance Adaptation from Identified Params",
   "zh": "基于辨识参数的阻抗自适应",
   "level": "l3"
  },
  "CAP_6f12ac88": {
   "en": "Category Skeleton Extraction Pipeline",
   "zh": "类别骨架提取管线",
   "level": "l2"
  },
  "CAP_389dfe25": {
   "en": "Category Skeleton Extraction",
   "zh": "类别级几何骨架提取",
   "level": "l3"
  },
  "CAP_661d3056": {
   "en": "Instance Geometry Adaptation Pipeline",
   "zh": "实例几何适配管线",
   "level": "l2"
  },
  "CAP_7d716cc7": {
   "en": "Instance Geometry Adaptation",
   "zh": "实例特定几何残差编码",
   "level": "l3"
  },
  "CAP_15d244ea": {
   "en": "Geometry-Guided Grasp Generation Pipeline",
   "zh": "几何引导抓取生成管线",
   "level": "l2"
  },
  "CAP_fd615d5f": {
   "en": "Geometry-Guided Grasp Generation",
   "zh": "几何引导抓取生成",
   "level": "l3"
  },
  "CAP_1c8791cc": {
   "en": "Few-Shot Domain Finetune Pipeline",
   "zh": "少样本域微调管线",
   "level": "l2"
  },
  "CAP_7cdfe38c": {
   "en": "Few-Shot Domain Finetune",
   "zh": "少样本域自适应微调",
   "level": "l3"
  },
  "CAP_c7c55953": {
   "en": "Part Existence Reasoning",
   "zh": "部件存在性推理",
   "level": "l3"
  },
  "CAP_820b11fd": {
   "en": "Sequential Convex Trajectory Optimization",
   "zh": "序列凸优化轨迹生成",
   "level": "l2"
  },
  "CAP_f3aed703": {
   "en": "SCO with Dynamics Constraints",
   "zh": "带动力学约束的序列凸优化",
   "level": "l3"
  },
  "CAP_8b945d51": {
   "en": "SCO B-spline Trajectory Parameterization",
   "zh": "B样条轨迹参数化",
   "level": "l3"
  },
  "CAP_24340cbd": {
   "en": "SCO Multi-arm Coordination",
   "zh": "双臂协调序列凸优化",
   "level": "l3"
  },
  "CAP_15c40462": {
   "en": "Diffusion-based Imitation Trajectory Generation",
   "zh": "扩散模型模仿学习轨迹生成",
   "level": "l2"
  },
  "CAP_851be792": {
   "en": "Constraint-guided Denoising",
   "zh": "约束引导去噪",
   "level": "l3"
  },
  "CAP_491123eb": {
   "en": "Visual-conditioned Trajectory Inference",
   "zh": "视觉条件轨迹推理",
   "level": "l3"
  },
  "CAP_0a9940d2": {
   "en": "Sampling-optimization Hybrid Trajectory Generation",
   "zh": "采样-优化两阶段轨迹生成",
   "level": "l2"
  },
  "CAP_b31d1811": {
   "en": "Global Sampling-based Planning",
   "zh": "全局采样运动规划",
   "level": "l3"
  },
  "CAP_eafda848": {
   "en": "Path Smoothing and Shortcutting",
   "zh": "路径平滑与捷径化",
   "level": "l3"
  },
  "CAP_b6540ecf": {
   "en": "Trajectory Optimization with Collision Avoidance",
   "zh": "带避碰的轨迹优化",
   "level": "l3"
  },
  "CAP_113bb845": {
   "en": "Geometric Perception and Encoding",
   "zh": "几何感知与编码",
   "level": "l2"
  },
  "CAP_77cebd28": {
   "en": "Geometric Navigation Policy",
   "zh": "几何导航策略",
   "level": "l2"
  },
  "CAP_9df99ffd": {
   "en": "E2E Geometric Navigation Policy",
   "zh": "端到端几何导航策略",
   "level": "l3"
  },
  "CAP_faae194a": {
   "en": "Curiosity-Driven Geometric Exploration",
   "zh": "好奇心驱动几何探索",
   "level": "l3"
  },
  "CAP_8975aeff": {
   "en": "Topological Skeleton and Frontier",
   "zh": "拓扑骨架与边界",
   "level": "l2"
  },
  "CAP_88c4f1d5": {
   "en": "TopologicalSkeletonExtractor",
   "zh": "拓扑骨架提取器",
   "level": "l3"
  },
  "CAP_4191f4b1": {
   "en": "ImplicitFrontierSelector",
   "zh": "隐式边界点选择器",
   "level": "l3"
  },
  "CAP_f3be4840": {
   "en": "TopoPathPlanner",
   "zh": "拓扑路径规划器",
   "level": "l3"
  },
  "CAP_bc1dec8e": {
   "en": "Semantic Goal Parsing",
   "zh": "语义目标解析",
   "level": "l2"
  },
  "CAP_cf789759": {
   "en": "Semantic Perception and Exploration",
   "zh": "语义感知与探索",
   "level": "l2"
  },
  "CAP_cf40f8b8": {
   "en": "Open-Vocabulary Scene Scoring",
   "zh": "开放词汇场景评分",
   "level": "l3"
  },
  "CAP_07cc1776": {
   "en": "Semantic Frontier Selection",
   "zh": "语义前沿点选择",
   "level": "l3"
  },
  "CAP_08e319ca": {
   "en": "E2E DRL Obstacle Avoidance",
   "zh": "端到端深度强化学习避障",
   "level": "l2"
  },
  "CAP_cbf25a32": {
   "en": "E2E Environment Interaction",
   "zh": "端到端仿真环境交互",
   "level": "l3"
  },
  "CAP_c17495ad": {
   "en": "E2E Policy Training",
   "zh": "端到端策略训练优化",
   "level": "l3"
  },
  "CAP_bbc724a0": {
   "en": "VLM Commonsense Avoidance",
   "zh": "基于基础模型的常识推理避障",
   "level": "l2"
  },
  "CAP_22e7c6b1": {
   "en": "VLM Semantic Obstacle Recognition",
   "zh": "VLM语义障碍物识别",
   "level": "l3"
  },
  "CAP_bcaefc25": {
   "en": "VLM Traversability Reasoning",
   "zh": "VLM可穿越性推理",
   "level": "l3"
  },
  "CAP_be5fb8aa": {
   "en": "VLM Navigation Decision Generation",
   "zh": "VLM导航决策生成",
   "level": "l3"
  },
  "CAP_f672bc75": {
   "en": "VLM Anomaly Detection for Safety",
   "zh": "VLM安全异常检测",
   "level": "l3"
  },
  "CAP_0ddb7ae7": {
   "en": "Generative Diffusion Policy Avoidance",
   "zh": "生成式扩散策略避障",
   "level": "l2"
  },
  "CAP_ba6791ca": {
   "en": "Diffusion Policy Action Generation",
   "zh": "扩散策略动作生成",
   "level": "l3"
  },
  "CAP_a9059e5a": {
   "en": "Multimodal Trajectory Sampling",
   "zh": "多模态轨迹采样",
   "level": "l3"
  },
  "CAP_128afb57": {
   "en": "Dense Registration Geometry Evaluation",
   "zh": "稠密配准几何对齐评估",
   "level": "l2"
  },
  "CAP_a9733c66": {
   "en": "Pointwise Error Quantification",
   "zh": "逐点误差量化",
   "level": "l2"
  },
  "CAP_5a88f6eb": {
   "en": "Accuracy Report Rendering",
   "zh": "精度报告渲染",
   "level": "l2"
  },
  "CAP_c24405e1": {
   "en": "Coarse Registration (FPFH-based)",
   "zh": "基于 FPFH 的粗配准",
   "level": "l3"
  },
  "CAP_b5188b1e": {
   "en": "Pointwise Error Computation",
   "zh": "逐点误差计算",
   "level": "l3"
  },
  "CAP_1a624e02": {
   "en": "Error Metrics Aggregation",
   "zh": "误差指标聚合",
   "level": "l3"
  },
  "CAP_5575bf14": {
   "en": "Error Visualization Reporting",
   "zh": "误差可视化与报告",
   "level": "l3"
  },
  "CAP_275429c2": {
   "en": "Topo Visual Feature Preparation",
   "zh": "图结构与视觉特征准备",
   "level": "l2"
  },
  "CAP_d33b458e": {
   "en": "Similarity Consistency Measurement",
   "zh": "相似度与一致性度量",
   "level": "l2"
  },
  "CAP_0995d4f6": {
   "en": "Anomaly Detection Reporting",
   "zh": "异常检测与报告",
   "level": "l2"
  },
  "CAP_b2223dae": {
   "en": "Topology Graph Extraction",
   "zh": "拓扑图提取",
   "level": "l3"
  },
  "CAP_1443fdd6": {
   "en": "Visual Similarity Matrix Build",
   "zh": "视觉相似度矩阵构建",
   "level": "l3"
  },
  "CAP_aa2e68d0": {
   "en": "Topo-Visual Consistency Metric",
   "zh": "拓扑-视觉一致性度量",
   "level": "l3"
  },
  "CAP_0c8c5266": {
   "en": "Anomaly Detection Report",
   "zh": "异常检测与报告",
   "level": "l3"
  },
  "CAP_e7975112": {
   "en": "Task Driven Map Evaluation Setup",
   "zh": "任务驱动评估准备",
   "level": "l2"
  },
  "CAP_a76c0a93": {
   "en": "Task Driven Performance Evaluation",
   "zh": "任务驱动性能评估",
   "level": "l2"
  },
  "CAP_0b7b84e0": {
   "en": "Precision Attribution and Transfer",
   "zh": "精度归因与迁移验证",
   "level": "l2"
  },
  "CAP_4eab54f2": {
   "en": "Map Injection and Task Configuration",
   "zh": "地图注入与任务配置",
   "level": "l3"
  },
  "CAP_b4c3c9f4": {
   "en": "Task Driven Navigation Evaluation",
   "zh": "任务驱动导航评估",
   "level": "l3"
  },
  "CAP_47920000": {
   "en": "Task Driven Manipulation Evaluation",
   "zh": "任务驱动操作评估",
   "level": "l3"
  },
  "CAP_11d36bbd": {
   "en": "Map Perturbation Ablation",
   "zh": "地图精度扰动消融",
   "level": "l3"
  },
  "CAP_825625c4": {
   "en": "Sim2Real Task Transfer Evaluation",
   "zh": "仿真-真实迁移验证",
   "level": "l3"
  },
  "CAP_54accffe": {
   "en": "Relocalization Pose Verification and Accuracy Evaluation",
   "zh": "重定位位姿验证与精度评估",
   "level": "l3"
  },
  "CAP_e1b9f7bf": {
   "en": "Uncertainty Guided Correspondence Filtering",
   "zh": "不确定性引导对应过滤",
   "level": "l3"
  },
  "CAP_af72660a": {
   "en": "Angle-Based Reprojection Loss Training",
   "zh": "角度重投影损失训练",
   "level": "l3"
  },
  "CAP_645daa24": {
   "en": "Pose Optimization via 3DGS",
   "zh": "基于3DGS的位姿优化",
   "level": "l3"
  },
  "CAP_ae21c1ef": {
   "en": "Semantic Point Cloud Change Management",
   "zh": "语义点云变化管理",
   "level": "l2"
  },
  "CAP_635c1fdc": {
   "en": "Temporal Evidence Accumulation for Change Confirmation",
   "zh": "变化时序证据累积确认",
   "level": "l3"
  },
  "CAP_23bce693": {
   "en": "Local Map Patching and Consistency Maintenance",
   "zh": "局部地图修补与一致性维护",
   "level": "l3"
  },
  "CAP_1a8203a4": {
   "en": "Neural Field Change Rendering",
   "zh": "神经场变化渲染",
   "level": "l2"
  },
  "CAP_3d206a8c": {
   "en": "Observation Encoding and Pose Estimation",
   "zh": "观测编码与位姿估计",
   "level": "l3"
  },
  "CAP_93a7c830": {
   "en": "NeRF-Based Change Rendering",
   "zh": "基于 NeRF 的变化渲染",
   "level": "l3"
  },
  "CAP_6341e749": {
   "en": "Uncertainty-Aware Change Filter",
   "zh": "不确定度感知变化过滤",
   "level": "l3"
  },
  "CAP_c4696057": {
   "en": "Feature Field Change Detection",
   "zh": "特征场变化检测",
   "level": "l3"
  },
  "CAP_8d8fcca4": {
   "en": "3DGS Incremental Change Update",
   "zh": "3DGS 增量变化更新",
   "level": "l3"
  },
  "CAP_d5bf646f": {
   "en": "Open-Vocabulary Semantic Change Reasoning",
   "zh": "开放词汇语义变化推理",
   "level": "l2"
  },
  "CAP_08d1ede9": {
   "en": "Change Candidate Region Extraction",
   "zh": "变化候选区域提取",
   "level": "l3"
  },
  "CAP_7d7ed984": {
   "en": "Open-Vocabulary Region Encoding",
   "zh": "开放词汇区域编码",
   "level": "l3"
  },
  "CAP_21ff5bfd": {
   "en": "VLM Change Reasoning",
   "zh": "VLM 变化推理",
   "level": "l3"
  },
  "CAP_6df1b1da": {
   "en": "Change Importance Assessment",
   "zh": "变化重要性评估",
   "level": "l3"
  },
  "CAP_b8286d65": {
   "en": "Voxel ICP Data Loading and Sync",
   "zh": "体素ICP度量数据加载与时间同步",
   "level": "l2"
  },
  "CAP_499fd93f": {
   "en": "Voxel ICP Trajectory Alignment",
   "zh": "体素ICP度量轨迹刚性对齐",
   "level": "l2"
  },
  "CAP_e002f0d1": {
   "en": "Voxel ICP Pose Error Metrics",
   "zh": "体素ICP度量位姿误差计算",
   "level": "l2"
  },
  "CAP_4d4eedec": {
   "en": "Voxel ICP Voxel Occupancy Comparison",
   "zh": "体素ICP度量占据网格对比",
   "level": "l2"
  },
  "CAP_39864d44": {
   "en": "Voxel ICP Visualization and Report",
   "zh": "体素ICP度量可视化与报告",
   "level": "l2"
  },
  "CAP_e35c942e": {
   "en": "Trajectory File Parsing",
   "zh": "轨迹文件解析",
   "level": "l3"
  },
  "CAP_8eb5090d": {
   "en": "Trajectory Association",
   "zh": "轨迹时间戳关联",
   "level": "l3"
  },
  "CAP_56f412c6": {
   "en": "Trajectory Aligner",
   "zh": "轨迹刚性对齐器",
   "level": "l3"
  },
  "CAP_59574e63": {
   "en": "APE Calculator",
   "zh": "绝对位姿误差计算器",
   "level": "l3"
  },
  "CAP_cfc65221": {
   "en": "RPE Calculator",
   "zh": "相对位姿误差计算器",
   "level": "l3"
  },
  "CAP_fef59e86": {
   "en": "Voxel Occupancy Comparator",
   "zh": "体素占据对比器",
   "level": "l3"
  },
  "CAP_663a87d2": {
   "en": "Topo Semantic Graph Construction",
   "zh": "拓扑-语义图构建",
   "level": "l2"
  },
  "CAP_2750c0c7": {
   "en": "Topo Semantic Graph Normalization",
   "zh": "拓扑-语义图规范化与对齐",
   "level": "l2"
  },
  "CAP_cc253341": {
   "en": "Topo Semantic Graph Matching",
   "zh": "拓扑-语义图匹配",
   "level": "l2"
  },
  "CAP_5a8e80ab": {
   "en": "Topo Semantic Similarity Scoring",
   "zh": "拓扑-语义相似度评分",
   "level": "l2"
  },
  "CAP_ee88980a": {
   "en": "Topo Semantic Benchmark Reporting",
   "zh": "拓扑-语义基准报告生成",
   "level": "l2"
  },
  "CAP_0f92e5ff": {
   "en": "Map-to-Graph Conversion",
   "zh": "地图到图转换",
   "level": "l3"
  },
  "CAP_1107f80b": {
   "en": "Semantic Label Alignment",
   "zh": "语义标签对齐",
   "level": "l3"
  },
  "CAP_62ccd7cc": {
   "en": "Topology Graph Isomorphism Check",
   "zh": "拓扑图同构检测",
   "level": "l3"
  },
  "CAP_a450812b": {
   "en": "Graph Edit Distance Computation",
   "zh": "图编辑距离计算",
   "level": "l3"
  },
  "CAP_4df2d65e": {
   "en": "Graph Similarity Scoring",
   "zh": "图相似度评分",
   "level": "l3"
  },
  "CAP_5276e93f": {
   "en": "Benchmark Report Generation",
   "zh": "基准测试报告生成",
   "level": "l3"
  },
  "CAP_861c346d": {
   "en": "Closed-Loop Map Aligned Collection",
   "zh": "闭环地图集构建与对齐",
   "level": "l2"
  },
  "CAP_eb1d61d1": {
   "en": "Closed-Loop Task Policy Snapshot",
   "zh": "闭环任务策略固化",
   "level": "l2"
  },
  "CAP_88b2ef01": {
   "en": "Closed-Loop Zero-Shot Policy Transfer",
   "zh": "闭环零样本策略迁移",
   "level": "l2"
  },
  "CAP_c303e4c9": {
   "en": "Closed-Loop Causal Attribution",
   "zh": "闭环因果归因分析",
   "level": "l2"
  },
  "CAP_a27e18e3": {
   "en": "Closed-Loop Task-Driven Ranking",
   "zh": "闭环任务驱动排名",
   "level": "l2"
  },
  "CAP_adb79a71": {
   "en": "Map-Aligned Collection",
   "zh": "地图集对齐收集",
   "level": "l3"
  },
  "CAP_571df3d8": {
   "en": "Task Policy Snapshot",
   "zh": "任务策略快照固化",
   "level": "l3"
  },
  "CAP_cc19ae24": {
   "en": "Zero-Shot Policy Transfer",
   "zh": "零样本策略迁移",
   "level": "l3"
  },
  "CAP_de19768a": {
   "en": "Causal Attribution Mapping",
   "zh": "因果归因映射",
   "level": "l3"
  },
  "CAP_8693c9cc": {
   "en": "Task-Driven Ranking",
   "zh": "任务驱动排名",
   "level": "l3"
  },
  "CAP_8900306a": {
   "en": "Active Geometric Completeness",
   "zh": "主动几何完备性",
   "level": "l2"
  },
  "CAP_3b91b6e9": {
   "en": "Ray-Casting Information Gain",
   "zh": "光线投射信息增益",
   "level": "l3"
  },
  "CAP_cc4d1398": {
   "en": "TSDF-based Completeness Evaluator",
   "zh": "基于TSDF的完备性评估",
   "level": "l3"
  },
  "CAP_b394b68e": {
   "en": "Next-Best-View Planner",
   "zh": "下一步最佳视点规划器",
   "level": "l3"
  },
  "CAP_1e7137b8": {
   "en": "Scene Graph Semantic Completeness",
   "zh": "场景图语义完备性",
   "level": "l2"
  },
  "CAP_9eea87f3": {
   "en": "Object Node Completeness Evaluation",
   "zh": "对象节点完备性评估",
   "level": "l3"
  },
  "CAP_4cde88a3": {
   "en": "Relation Edge Completeness Evaluation",
   "zh": "关系边完备性评估",
   "level": "l3"
  },
  "CAP_393ad022": {
   "en": "Hierarchy Completeness Validation",
   "zh": "层次完备性校验",
   "level": "l3"
  },
  "CAP_d99c9667": {
   "en": "Semantic Completeness Score Fusion",
   "zh": "语义完备性评分融合",
   "level": "l3"
  },
  "CAP_7eb34d01": {
   "en": "Affordance Manifold Construction",
   "zh": "操作流形构建",
   "level": "l3"
  },
  "CAP_6e5c679b": {
   "en": "Map Affordance Coverage Matching",
   "zh": "地图-流形覆盖匹配",
   "level": "l3"
  },
  "CAP_7909dfc7": {
   "en": "Task Affordance Completeness Scoring",
   "zh": "任务流形完备性评分",
   "level": "l3"
  },
  "CAP_5b472d0e": {
   "en": "Active Completion Exploration Planning",
   "zh": "主动补全探索规划",
   "level": "l3"
  },
  "CAP_fc6ab657": {
   "en": "Semantic Anchor Extraction",
   "zh": "语义锚点提取",
   "level": "l2"
  },
  "CAP_71a60c1e": {
   "en": "Semantic Anchor Graph Building",
   "zh": "语义锚点图构建",
   "level": "l2"
  },
  "CAP_0ad63032": {
   "en": "Anchor Graph Construction",
   "zh": "锚点图构建",
   "level": "l3"
  },
  "CAP_4c9f391e": {
   "en": "Incremental Map Synchronization",
   "zh": "增量地图同步",
   "level": "l2"
  },
  "CAP_791dbb8d": {
   "en": "Incremental Anchor Diff",
   "zh": "增量锚点差分",
   "level": "l3"
  },
  "CAP_b25edf29": {
   "en": "Semantic Map Reconstruction Pipeline",
   "zh": "语义地图重建",
   "level": "l2"
  },
  "CAP_9a800448": {
   "en": "Semantic Map Reconstruction",
   "zh": "语义地图重建",
   "level": "l3"
  },
  "CAP_482d89bd": {
   "en": "Gaussian Scene Compression Pipeline",
   "zh": "高斯场景压缩流水线",
   "level": "l2"
  },
  "CAP_c01b0ed4": {
   "en": "3DGS LoD Generation",
   "zh": "3DGS 细节层次生成",
   "level": "l2"
  },
  "CAP_2f84ae25": {
   "en": "LoD Hierarchy Generation",
   "zh": "细节层次生成",
   "level": "l3"
  },
  "CAP_a137612f": {
   "en": "View-Adaptive Streaming Scheduling",
   "zh": "视点自适应流式调度",
   "level": "l2"
  },
  "CAP_c3e168c4": {
   "en": "Viewport Adaptive Scheduling",
   "zh": "视点自适应调度",
   "level": "l3"
  },
  "CAP_bb1bca9f": {
   "en": "Progressive Decoding and Rendering",
   "zh": "渐进式解码与渲染",
   "level": "l2"
  },
  "CAP_26a34313": {
   "en": "Progressive Decoding Rendering",
   "zh": "渐进式解码渲染",
   "level": "l3"
  },
  "CAP_7904d626": {
   "en": "Differential 3DGS Map Update",
   "zh": "3DGS 差分地图更新",
   "level": "l2"
  },
  "CAP_de46ec7e": {
   "en": "Differential Map Update",
   "zh": "差分地图更新",
   "level": "l3"
  },
  "CAP_b5684393": {
   "en": "Foundation Feature Encoding Pipeline",
   "zh": "基础模型特征编码流水线",
   "level": "l2"
  },
  "CAP_0d298428": {
   "en": "Neural Feature Quantization Pipeline",
   "zh": "神经特征量化流水线",
   "level": "l2"
  },
  "CAP_791fbc83": {
   "en": "Neural Feature Quantization",
   "zh": "神经特征量化",
   "level": "l3"
  },
  "CAP_b5ccf3f0": {
   "en": "Progressive Feature Streaming",
   "zh": "渐进式特征流化",
   "level": "l3"
  },
  "CAP_b1f5ca8b": {
   "en": "Channel Adaptive Transmission Pipeline",
   "zh": "信道自适应传输流水线",
   "level": "l2"
  },
  "CAP_74cddc28": {
   "en": "Channel Adaptive Transmission",
   "zh": "信道自适应传输",
   "level": "l3"
  },
  "CAP_b3a2bc5d": {
   "en": "Cross-Robot Feature Fusion Pipeline",
   "zh": "多机特征融合流水线",
   "level": "l2"
  },
  "CAP_293343c9": {
   "en": "Cross-Robot Feature Fusion",
   "zh": "多机器人特征融合",
   "level": "l3"
  },
  "CAP_0c1e2885": {
   "en": "Task-Adaptive Decoding Pipeline",
   "zh": "任务自适应解码流水线",
   "level": "l2"
  },
  "CAP_b28e0105": {
   "en": "Task-Adaptive Decoding",
   "zh": "任务自适应解码",
   "level": "l3"
  },
  "CAP_0a940d68": {
   "en": "Pose Graph Geometric Consistency Verification",
   "zh": "位姿图几何一致性验证",
   "level": "l2"
  },
  "CAP_199afd09": {
   "en": "Multimodal Constraint Quality Assessment",
   "zh": "多模态约束质量评估",
   "level": "l3"
  },
  "CAP_1cfa34d9": {
   "en": "Global Pose Graph Optimization",
   "zh": "全局位姿图优化",
   "level": "l3"
  },
  "CAP_58bd1356": {
   "en": "Geometric Inconsistency Detection",
   "zh": "几何不一致检测",
   "level": "l3"
  },
  "CAP_24b22e98": {
   "en": "Semantic Object-level Consistency Check",
   "zh": "语义对象级一致性检查",
   "level": "l2"
  },
  "CAP_3a0659f4": {
   "en": "Label Consistency Check",
   "zh": "标签一致性校验",
   "level": "l3"
  },
  "CAP_e6662783": {
   "en": "Topology Consistency Check",
   "zh": "拓扑一致性校验",
   "level": "l3"
  },
  "CAP_be9be1a2": {
   "en": "Association Consistency Check",
   "zh": "关联一致性校验",
   "level": "l3"
  },
  "CAP_536fc612": {
   "en": "VLM Spatial Commonsense Verification",
   "zh": "VLM空间常识验证",
   "level": "l3"
  },
  "CAP_2bfea343": {
   "en": "Multi-view Map Rendering",
   "zh": "多视角地图渲染",
   "level": "l3"
  },
  "CAP_832a8c5e": {
   "en": "VLM Prompt Engineering for Spatial Reasoning",
   "zh": "空间推理VLM提示工程",
   "level": "l3"
  },
  "CAP_99b2af1f": {
   "en": "Anomaly Localization and Correction",
   "zh": "异常定位与修正",
   "level": "l3"
  },
  "CAP_0befb186": {
   "en": "Pose-Graph Submap Map Maintenance",
   "zh": "位姿图-子图地图维护",
   "level": "l2"
  },
  "CAP_47aecc73": {
   "en": "Submap Creation",
   "zh": "子图创建与局部优化",
   "level": "l3"
  },
  "CAP_7bc0fcc4": {
   "en": "Pose Graph Global Optimization",
   "zh": "位姿图全局优化",
   "level": "l3"
  },
  "CAP_e8c0b541": {
   "en": "Multi-version Submap Fusion",
   "zh": "多版本子图融合",
   "level": "l3"
  },
  "CAP_31dea1ea": {
   "en": "Semantic Scene Graph Maintenance",
   "zh": "语义场景图维护",
   "level": "l2"
  },
  "CAP_ba451eae": {
   "en": "Open-Vocabulary Object Instantiation",
   "zh": "开放词汇对象实例化",
   "level": "l3"
  },
  "CAP_bf8e0869": {
   "en": "Spatial-Semantic Relation Inference",
   "zh": "空间语义关系推理",
   "level": "l3"
  },
  "CAP_e14263e3": {
   "en": "Incremental Graph Update",
   "zh": "增量图更新与版本管理",
   "level": "l3"
  },
  "CAP_3dd6faff": {
   "en": "Multi-version Graph Fusion",
   "zh": "多版本图融合",
   "level": "l3"
  },
  "CAP_7fcbf526": {
   "en": "Temporal Decay Graph Pruning",
   "zh": "时序衰减图剪枝",
   "level": "l3"
  },
  "CAP_6b016156": {
   "en": "Open-Vocabulary Graph Query",
   "zh": "开放词汇图查询",
   "level": "l3"
  },
  "CAP_f2ab21ff": {
   "en": "Online 3DGS Map Healing",
   "zh": "在线3DGS地图修复",
   "level": "l2"
  },
  "CAP_a6c5fa34": {
   "en": "3DGS Patch Extraction",
   "zh": "3DGS地图块提取",
   "level": "l3"
  },
  "CAP_456b8ad8": {
   "en": "Online 3DGS Healing",
   "zh": "在线3DGS增量修复",
   "level": "l3"
  },
  "CAP_3bff061c": {
   "en": "3DGS Map Consistency Validation",
   "zh": "3DGS地图一致性验证",
   "level": "l3"
  },
  "CAP_744a9b56": {
   "en": "GPS Map Matching Preprocessing",
   "zh": "地图匹配观测预处理",
   "level": "l2"
  },
  "CAP_89be16b8": {
   "en": "GPS Noise Filtering",
   "zh": "GPS 噪声滤波",
   "level": "l3"
  },
  "CAP_b436942e": {
   "en": "Road Network Candidate Retrieval",
   "zh": "路网候选路段检索",
   "level": "l3"
  },
  "CAP_f89e6d7f": {
   "en": "HMM Map Matching Inference",
   "zh": "HMM 地图匹配推断",
   "level": "l2"
  },
  "CAP_b73ff30a": {
   "en": "HMM Map Matching Decode",
   "zh": "HMM 地图匹配解码",
   "level": "l3"
  },
  "CAP_75e00054": {
   "en": "Map Matching Post-processing",
   "zh": "地图匹配后处理",
   "level": "l2"
  },
  "CAP_65043f3d": {
   "en": "Route Topology Verification",
   "zh": "路径拓扑验证",
   "level": "l3"
  },
  "CAP_1eac078b": {
   "en": "Multimodal Data Synchronization",
   "zh": "多模态数据同步",
   "level": "l3"
  },
  "CAP_ebc52ed9": {
   "en": "Semantic Landmark Perception",
   "zh": "语义地标感知",
   "level": "l2"
  },
  "CAP_8fdec080": {
   "en": "Semantic Map Matching",
   "zh": "语义地图匹配",
   "level": "l2"
  },
  "CAP_b41a8b8f": {
   "en": "Semantic Map Query and Matching",
   "zh": "语义地图查询与匹配",
   "level": "l3"
  },
  "CAP_f47ba498": {
   "en": "Multimodal Fusion State Estimation",
   "zh": "多模态融合状态估计",
   "level": "l2"
  },
  "CAP_6de7cfd9": {
   "en": "Factor Graph Multimodal Fusion",
   "zh": "因子图多模态融合",
   "level": "l3"
  },
  "CAP_1ae5f1a8": {
   "en": "Localization Quality Assurance",
   "zh": "定位质量保障",
   "level": "l2"
  },
  "CAP_415f8066": {
   "en": "Topological-Metric Hybrid Map Memory Management",
   "zh": "拓扑-度量混合地图记忆管理",
   "level": "l2"
  },
  "CAP_92b0d0a9": {
   "en": "Metric Submap Segmentation",
   "zh": "度量子图分割",
   "level": "l3"
  },
  "CAP_af875d18": {
   "en": "Memory Compression and Forgetting",
   "zh": "记忆压缩与遗忘",
   "level": "l3"
  },
  "CAP_4f5bcd2a": {
   "en": "Hierarchical Map Storage Engine",
   "zh": "分层地图存储引擎",
   "level": "l3"
  },
  "CAP_2f59fa82": {
   "en": "Predictive Submap Loading",
   "zh": "预测式子图加载",
   "level": "l3"
  },
  "CAP_bade444f": {
   "en": "Neural Field & Gaussian Splatting Memory Management",
   "zh": "神经场与高斯泼溅记忆管理",
   "level": "l2"
  },
  "CAP_f1a575d0": {
   "en": "Memory Compression Quantization",
   "zh": "记忆压缩量化",
   "level": "l3"
  },
  "CAP_f0c62166": {
   "en": "Incremental Neural Memory Update",
   "zh": "增量神经记忆更新",
   "level": "l3"
  },
  "CAP_9a630c60": {
   "en": "On-demand Decoding Rendering",
   "zh": "按需解码渲染",
   "level": "l3"
  },
  "CAP_65bd2413": {
   "en": "Memory Budget Adaptive Compression",
   "zh": "存储预算自适应压缩",
   "level": "l3"
  },
  "CAP_be5a1639": {
   "en": "VLM Open-Vocabulary Spatial Memory Management",
   "zh": "视觉语言模型开放词汇空间记忆管理",
   "level": "l2"
  },
  "CAP_c60e8db2": {
   "en": "Open-vocabulary Spatial Encoding",
   "zh": "开放词汇空间编码",
   "level": "l3"
  },
  "CAP_6ca2d229": {
   "en": "Hybrid Spatial Semantic Retrieval",
   "zh": "混合空间语义检索",
   "level": "l3"
  },
  "CAP_a754a00e": {
   "en": "Map Merge (Laser Geometry)",
   "zh": "激光几何地图融合",
   "level": "l2"
  },
  "CAP_07f400fe": {
   "en": "Laser Map Preprocessing",
   "zh": "激光地图预处理",
   "level": "l3"
  },
  "CAP_a2be3783": {
   "en": "Geometric Map Alignment",
   "zh": "几何地图配准",
   "level": "l3"
  },
  "CAP_91b9bc4f": {
   "en": "Loop Closure Validation",
   "zh": "闭环验证与异常值剔除",
   "level": "l3"
  },
  "CAP_b798217a": {
   "en": "Pose Graph Fusion Optimization",
   "zh": "位姿图融合优化",
   "level": "l3"
  },
  "CAP_1388a666": {
   "en": "Registration Uncertainty Estimation",
   "zh": "配准不确定性估计",
   "level": "l3"
  },
  "CAP_913e16de": {
   "en": "Visual BA Map Merge",
   "zh": "视觉BA地图融合",
   "level": "l2"
  },
  "CAP_8b8bc604": {
   "en": "Feature Matching and Verification",
   "zh": "特征匹配与几何验证",
   "level": "l3"
  },
  "CAP_b08ceee5": {
   "en": "Multi-Map Fusion",
   "zh": "多地图融合",
   "level": "l3"
  },
  "CAP_8deb0c6e": {
   "en": "Map Quality Assessment",
   "zh": "地图质量评估",
   "level": "l3"
  },
  "CAP_44c21c4e": {
   "en": "Semantic-Guided Metric-Semantic Map Fusion",
   "zh": "语义增强的度量-语义地图融合",
   "level": "l2"
  },
  "CAP_7c4713dd": {
   "en": "Semantic Place Recognition Descriptor",
   "zh": "语义场所识别描述子",
   "level": "l3"
  },
  "CAP_c5fee526": {
   "en": "Robust Pose Graph Outlier Rejection",
   "zh": "鲁棒位姿图离群值剔除",
   "level": "l3"
  },
  "CAP_7768416c": {
   "en": "Hydra Layer Incremental Extraction",
   "zh": "Hydra层增量提取",
   "level": "l3"
  },
  "CAP_05cbef45": {
   "en": "Multi-Robot Occupancy Grid Fusion",
   "zh": "多机器人占据栅格融合",
   "level": "l2"
  },
  "CAP_549bb6b8": {
   "en": "Confidence-Calibrated Conflict Resolution",
   "zh": "置信度校准冲突消解",
   "level": "l3"
  },
  "CAP_a5424886": {
   "en": "OGM Representation Unification",
   "zh": "占据栅格地图表示统一",
   "level": "l3"
  },
  "CAP_23460a0b": {
   "en": "Appearance-Based Pose Graph Map Merging",
   "zh": "基于外观的位姿图地图合并",
   "level": "l2"
  },
  "CAP_676f2ec5": {
   "en": "Inter-Atlas Place Recognition",
   "zh": "跨地图地点识别",
   "level": "l3"
  },
  "CAP_6551fc58": {
   "en": "Differentiable Neural Field Map Fusion",
   "zh": "可微分神经场地图融合",
   "level": "l2"
  },
  "CAP_edef835e": {
   "en": "Local NeRF Encoding",
   "zh": "局部神经场编码",
   "level": "l3"
  },
  "CAP_e626a04b": {
   "en": "Diff Rendering Pose Refinement",
   "zh": "可微分渲染位姿精化",
   "level": "l3"
  },
  "CAP_eaaeaecd": {
   "en": "Implicit Neural Map Stitching",
   "zh": "隐式神经场地图拼接",
   "level": "l3"
  },
  "CAP_b7ddc2ff": {
   "en": "Survival-augmented Map Construction",
   "zh": "带生存概率的增强地图构建",
   "level": "l2"
  },
  "CAP_ce7948f9": {
   "en": "Bayesian Survival Probability Update",
   "zh": "贝叶斯生存概率更新",
   "level": "l2"
  },
  "CAP_cd100c7d": {
   "en": "Revisit Priority and Path Planning",
   "zh": "重访优先级与路径规划",
   "level": "l2"
  },
  "CAP_29f4cc8b": {
   "en": "Local Survival Map Refresh",
   "zh": "局部生存地图刷新",
   "level": "l2"
  },
  "CAP_f23f889e": {
   "en": "Survival Map Initialization",
   "zh": "生存地图初始化",
   "level": "l3"
  },
  "CAP_442c8d76": {
   "en": "Bayesian Survival Update",
   "zh": "贝叶斯生存更新",
   "level": "l3"
  },
  "CAP_c9bc6457": {
   "en": "Expected Lifetime Estimation",
   "zh": "期望剩余寿命估计",
   "level": "l3"
  },
  "CAP_7b1e5b11": {
   "en": "Inspection Path Planning",
   "zh": "巡检路径规划",
   "level": "l3"
  },
  "CAP_1cb7738a": {
   "en": "Local Map Refresh",
   "zh": "局部地图刷新",
   "level": "l3"
  },
  "CAP_97bef828": {
   "en": "Semantic Persistence Modeling",
   "zh": "语义对象持久性建模",
   "level": "l2"
  },
  "CAP_41bd5a52": {
   "en": "Semantic Change Trigger",
   "zh": "语义变化触发",
   "level": "l2"
  },
  "CAP_e9a4a3f3": {
   "en": "Update Priority Scheduling Phase",
   "zh": "更新优先级排序",
   "level": "l2"
  },
  "CAP_e5222c5b": {
   "en": "Local Semantic Remapping Phase",
   "zh": "局部语义重映射",
   "level": "l2"
  },
  "CAP_f1a59a1e": {
   "en": "Semantic Persistence Estimation",
   "zh": "语义持久性估计",
   "level": "l3"
  },
  "CAP_270e65ed": {
   "en": "Semantic Change Detection",
   "zh": "语义变化检测",
   "level": "l3"
  },
  "CAP_d9d4d9c6": {
   "en": "Update Priority Scheduling",
   "zh": "更新优先级调度",
   "level": "l3"
  },
  "CAP_c394f4e4": {
   "en": "Local Semantic Remapping",
   "zh": "局部语义重映射",
   "level": "l3"
  },
  "CAP_2d9132da": {
   "en": "Neural Staleness Detection",
   "zh": "神经场过时区域检测",
   "level": "l2"
  },
  "CAP_f580d767": {
   "en": "Forgetting Strategy",
   "zh": "神经场遗忘策略",
   "level": "l2"
  },
  "CAP_72668673": {
   "en": "Replay Buffer Management Phase",
   "zh": "重放缓冲区管理",
   "level": "l2"
  },
  "CAP_c7be9f0e": {
   "en": "Incremental Neural Training",
   "zh": "增量神经场训练",
   "level": "l2"
  },
  "CAP_493d3066": {
   "en": "Staleness Map Generation",
   "zh": "时效性地图生成",
   "level": "l3"
  },
  "CAP_867181c7": {
   "en": "Forgetting Weight Scheduling",
   "zh": "遗忘权重调度",
   "level": "l3"
  },
  "CAP_ab7b2092": {
   "en": "Replay Buffer Management",
   "zh": "重放缓冲区管理",
   "level": "l3"
  },
  "CAP_2b9ca142": {
   "en": "Incremental NeRF Training",
   "zh": "增量神经场训练",
   "level": "l3"
  },
  "CAP_d0994908": {
   "en": "Consistency Regularization",
   "zh": "一致性正则化",
   "level": "l3"
  },
  "CAP_a5ac6dcd": {
   "en": "Global Map Reconstruction",
   "zh": "全局地图重建",
   "level": "l3"
  },
  "CAP_5b29c875": {
   "en": "Map Update Event Logging",
   "zh": "地图更新事件日志",
   "level": "l3"
  },
  "CAP_c46d8077": {
   "en": "Explicit Map Update",
   "zh": "显式地图更新",
   "level": "l2"
  },
  "CAP_abe9ee96": {
   "en": "Path Conflict Check and Replanning",
   "zh": "路径冲突检查与重规划",
   "level": "l2"
  },
  "CAP_90d0c925": {
   "en": "Spatiotemporal Semantic Mapping",
   "zh": "时空语义建图",
   "level": "l3"
  },
  "CAP_8ecf5305": {
   "en": "Temporal Pattern Learning",
   "zh": "时空规律学习",
   "level": "l3"
  },
  "CAP_2ab74a65": {
   "en": "Time-Dependent Path Planning",
   "zh": "时变路径规划",
   "level": "l3"
  },
  "CAP_e91f46be": {
   "en": "Online Map Update and Replanning",
   "zh": "在线地图更新与重规划",
   "level": "l3"
  },
  "CAP_614fb89b": {
   "en": "Explainable Navigation Reasoning",
   "zh": "可解释导航推理",
   "level": "l3"
  },
  "CAP_e51a1270": {
   "en": "Spatiotemporal Semantic Mapping",
   "zh": "时空语义建图（伞形）",
   "level": "l2"
  },
  "CAP_f1855385": {
   "en": "Temporal Pattern Learning and Planning",
   "zh": "时空规律学习与规划（伞形）",
   "level": "l2"
  },
  "CAP_b34c68fc": {
   "en": "Online Map Update and Explainable",
   "zh": "在线更新与可解释（伞形）",
   "level": "l2"
  },
  "CAP_161dc220": {
   "en": "Implicit Scene Online Learning",
   "zh": "隐式场景在线学习",
   "level": "l3"
  },
  "CAP_a9acd690": {
   "en": "Implicit Occupancy Query",
   "zh": "隐式占用查询",
   "level": "l3"
  },
  "CAP_07883d7d": {
   "en": "Implicit Costmap Baking",
   "zh": "隐式代价地图烘焙",
   "level": "l3"
  },
  "CAP_843e6ac3": {
   "en": "Implicit Sensor Preprocessing and Keyframe",
   "zh": "隐式传感器预处理与关键帧（伞形）",
   "level": "l2"
  },
  "CAP_8f8ce4f7": {
   "en": "Implicit Map Online Update",
   "zh": "隐式地图在线更新（伞形）",
   "level": "l2"
  },
  "CAP_17b64cd5": {
   "en": "Implicit Space Planning",
   "zh": "隐式空间规划（伞形）",
   "level": "l2"
  },
  "CAP_5c23363d": {
   "en": "Hand Mesh Recovery",
   "zh": "手部网格恢复",
   "level": "l2"
  },
  "CAP_6c42293c": {
   "en": "Hand Mesh From Joints",
   "zh": "由关节恢复手部网格",
   "level": "l3"
  },
  "CAP_99d9fa33": {
   "en": "Hand-Object Contact Detection",
   "zh": "手物接触检测",
   "level": "l2"
  },
  "CAP_b8f690c0": {
   "en": "Hand-Object Contact Pair Detection",
   "zh": "手物接触点对检测",
   "level": "l3"
  },
  "CAP_bf676baf": {
   "en": "Joint Hand-Object Optimization",
   "zh": "手物联合优化",
   "level": "l2"
  },
  "CAP_587b6c0a": {
   "en": "Joint Hand-Object Reconstruction",
   "zh": "手物联合重建",
   "level": "l3"
  },
  "CAP_e5a3e7f4": {
   "en": "Dense Interaction Mesh Export",
   "zh": "稠密交互网格导出",
   "level": "l2"
  },
  "CAP_bb571309": {
   "en": "Dense Interaction Scene Export",
   "zh": "稠密交互场景导出",
   "level": "l3"
  },
  "CAP_47dd4703": {
   "en": "Visual Frontend Initialization",
   "zh": "视觉前端初始化",
   "level": "l2"
  },
  "CAP_896e6256": {
   "en": "Hand Keypoint Frontend Initialization",
   "zh": "手部关键点前端初始化",
   "level": "l3"
  },
  "CAP_7aed216a": {
   "en": "Kinematic Constraint Enforcement",
   "zh": "运动学约束施加",
   "level": "l2"
  },
  "CAP_3cf25853": {
   "en": "Kinematic Joint Limit Enforcement",
   "zh": "关节角度限制施加",
   "level": "l3"
  },
  "CAP_79a401fb": {
   "en": "Dynamic & Collision Constraint Construction",
   "zh": "动力学与碰撞约束构建",
   "level": "l2"
  },
  "CAP_69987488": {
   "en": "Physics-Informed Optimization",
   "zh": "物理启发式优化",
   "level": "l2"
  },
  "CAP_c1a72a53": {
   "en": "Physics-Informed Batch Optimization",
   "zh": "物理启发式批量优化",
   "level": "l3"
  },
  "CAP_9c167b47": {
   "en": "Adaptive Constraint Weighting",
   "zh": "自适应约束加权",
   "level": "l3"
  },
  "CAP_84bd2e30": {
   "en": "Heterogeneous Capability Bidding",
   "zh": "异构能力投标",
   "level": "l3"
  },
  "CAP_76f3033c": {
   "en": "Combinatorial Auction WDP",
   "zh": "组合拍卖赢家决定",
   "level": "l3"
  },
  "CAP_c04fc599": {
   "en": "Reputation-Aware Awarding",
   "zh": "信誉感知授权",
   "level": "l3"
  },
  "CAP_76a74b49": {
   "en": "Contract Award & Execution",
   "zh": "合同授权与执行",
   "level": "l3"
  },
  "CAP_ac76d85f": {
   "en": "Distributed Bundle Consensus",
   "zh": "分布式捆绑共识",
   "level": "l3"
  },
  "CAP_a56ec44c": {
   "en": "GNN Attention Coalition Bidding",
   "zh": "GNN 注意力联盟竞价",
   "level": "l2"
  },
  "CAP_f0c2ec09": {
   "en": "Hetero Graph Construction",
   "zh": "异构图构建",
   "level": "l3"
  },
  "CAP_bc69978a": {
   "en": "Hetero GNN Encoding",
   "zh": "异构图神经网络编码",
   "level": "l3"
  },
  "CAP_e2c16d6e": {
   "en": "Attention Coalition Valuation",
   "zh": "注意力联盟估值",
   "level": "l3"
  },
  "CAP_dc7ebeeb": {
   "en": "Distributed Coalition Bidding",
   "zh": "分布式联盟竞价",
   "level": "l3"
  },
  "CAP_8350c25e": {
   "en": "Market-Based Multi-Attribute Task Allocation",
   "zh": "市场式多属性任务分配",
   "level": "l2"
  },
  "CAP_8d98f1b6": {
   "en": "Multi-Attribute Bid Generation",
   "zh": "多属性报价生成",
   "level": "l3"
  },
  "CAP_14a378fa": {
   "en": "TOPSIS Winner Determination",
   "zh": "TOPSIS 赢家确定",
   "level": "l3"
  },
  "CAP_b760fdf0": {
   "en": "Capability Vector Matcher",
   "zh": "能力向量匹配",
   "level": "l3"
  },
  "CAP_6f134974": {
   "en": "Dynamic Load Balancer",
   "zh": "动态负载均衡器",
   "level": "l3"
  },
  "CAP_95990476": {
   "en": "Contract Net Protocol Handler",
   "zh": "合同网协议处理器",
   "level": "l3"
  },
  "CAP_a1c23712": {
   "en": "Decentralized DCOP Regret Bidding",
   "zh": "无中心 DCOP 无悔竞标",
   "level": "l2"
  },
  "CAP_d7086a4a": {
   "en": "DCOP Factor Graph Modeling",
   "zh": "DCOP 因子图建模",
   "level": "l3"
  },
  "CAP_de55d043": {
   "en": "Regret Matching Strategy Update",
   "zh": "无悔匹配策略更新",
   "level": "l3"
  },
  "CAP_192be86d": {
   "en": "Max-Sum Distributed Consensus",
   "zh": "Max-Sum 分布式共识",
   "level": "l3"
  },
  "CAP_95190a2c": {
   "en": "Potential Game Convergence Analysis",
   "zh": "势博弈收敛分析",
   "level": "l3"
  },
  "CAP_2b9bb130": {
   "en": "Deep RL Strategic Bidding",
   "zh": "深度强化学习策略性竞标",
   "level": "l2"
  },
  "CAP_091b159c": {
   "en": "Opponent Modeling From Bid History",
   "zh": "基于报价历史的对手建模",
   "level": "l3"
  },
  "CAP_d2164ca0": {
   "en": "DRL Bidding Policy PPO",
   "zh": "PPO 深度强化学习竞价策略",
   "level": "l3"
  },
  "CAP_9258eb03": {
   "en": "Multi-Agent Centralized Critic",
   "zh": "多智能体集中训练分散执行",
   "level": "l3"
  },
  "CAP_ad47cbe2": {
   "en": "Bid Sequence Encoding Transformer",
   "zh": "报价序列 Transformer 编码",
   "level": "l3"
  },
  "CAP_eb823a0f": {
   "en": "Adversarial Training Robust Bidding",
   "zh": "对抗训练鲁棒竞价",
   "level": "l3"
  },
  "CAP_e6ff6858": {
   "en": "Homogeneous Swarm Environment Construction",
   "zh": "同构集群环境构建",
   "level": "l2"
  },
  "CAP_a8a8e2b7": {
   "en": "Homogeneous Swarm Env Modeling",
   "zh": "同构集群环境建模",
   "level": "l3"
  },
  "CAP_1c4d2c4d": {
   "en": "CTDE Swarm Policy Training",
   "zh": "CTDE集群策略训练",
   "level": "l2"
  },
  "CAP_c176582b": {
   "en": "CTDE Policy Network Design",
   "zh": "CTDE策略网络设计",
   "level": "l3"
  },
  "CAP_9bdb3b8d": {
   "en": "Multi-Agent RL Algorithm Implementation",
   "zh": "多智能体强化学习算法实现",
   "level": "l3"
  },
  "CAP_8ab9b002": {
   "en": "Swarm Value Decomposition",
   "zh": "集群价值分解",
   "level": "l3"
  },
  "CAP_3cb5f8dd": {
   "en": "Swarm Policy Deployment",
   "zh": "集群策略部署",
   "level": "l2"
  },
  "CAP_a9f9ec4b": {
   "en": "Distributed Policy Deployment",
   "zh": "分布式策略部署",
   "level": "l3"
  },
  "CAP_ba60c981": {
   "en": "Swarm Sim2Real Transfer",
   "zh": "集群仿真到现实迁移",
   "level": "l3"
  },
  "CAP_70c42736": {
   "en": "Heterogeneous Team Formation",
   "zh": "异构团队组建",
   "level": "l2"
  },
  "CAP_f378319b": {
   "en": "Heterogeneous Team Formation & Role Assignment",
   "zh": "异构团队组建与角色分配",
   "level": "l3"
  },
  "CAP_b0aef386": {
   "en": "Heterogeneous Perception-Action Alignment",
   "zh": "异构感知与动作对齐",
   "level": "l2"
  },
  "CAP_c1963ebe": {
   "en": "Heterogeneous Observation Alignment",
   "zh": "异构观测空间对齐",
   "level": "l3"
  },
  "CAP_b9cf76c4": {
   "en": "Heterogeneous Action Mapping",
   "zh": "异构动作空间映射",
   "level": "l3"
  },
  "CAP_73930cd4": {
   "en": "Heterogeneous Joint Policy Learning",
   "zh": "异构联合策略学习",
   "level": "l2"
  },
  "CAP_e9e9ebae": {
   "en": "Heterogeneous CTDE Joint Policy",
   "zh": "异构联合策略学习",
   "level": "l3"
  },
  "CAP_9bd4e615": {
   "en": "Dexterous Coordination & Transfer",
   "zh": "灵巧协同与迁移",
   "level": "l2"
  },
  "CAP_4f3e7558": {
   "en": "Dexterous Manipulation Coordination",
   "zh": "灵巧操作协同执行",
   "level": "l3"
  },
  "CAP_43798806": {
   "en": "Heterogeneous Skill Transfer",
   "zh": "异构技能迁移与泛化",
   "level": "l3"
  },
  "CAP_d1f0df52": {
   "en": "Human Intent Inference from Sparse Obs",
   "zh": "人类意图在线推理",
   "level": "l3"
  },
  "CAP_6b7784eb": {
   "en": "Adaptive Ad Hoc Teaming",
   "zh": "零样本即时协同自适应",
   "level": "l2"
  },
  "CAP_3c3fe6b5": {
   "en": "Adaptive Ad Hoc Policy Generation",
   "zh": "零样本自适应协同策略生成",
   "level": "l3"
  },
  "CAP_ba31efa6": {
   "en": "Uncertainty-Aware Safety & Execution",
   "zh": "不确定性感知安全与执行",
   "level": "l2"
  },
  "CAP_6f4fda35": {
   "en": "Uncertainty-Aware Safety Filter",
   "zh": "不确定性感知安全过滤",
   "level": "l3"
  },
  "CAP_a673400c": {
   "en": "Human-AI Fluency & Adaptation",
   "zh": "人机流畅度与持续适应",
   "level": "l2"
  },
  "CAP_c1abcf3b": {
   "en": "Online Human Adaptation Learner",
   "zh": "人机在线适应学习器",
   "level": "l3"
  },
  "CAP_ed467a19": {
   "en": "Human-AI Fluency Evaluator",
   "zh": "人机协同流畅度评估",
   "level": "l3"
  },
  "CAP_3a3d74bb": {
   "en": "Mask R-CNN Multi-scale Feature Extraction",
   "zh": "Mask R-CNN 多尺度特征提取",
   "level": "l2"
  },
  "CAP_944c3e5f": {
   "en": "Mask R-CNN FPN Multi-scale Feature Extraction",
   "zh": "Mask R-CNN FPN 多尺度特征提取",
   "level": "l3"
  },
  "CAP_10de7e01": {
   "en": "Mask R-CNN Region Proposal",
   "zh": "Mask R-CNN 区域提议生成",
   "level": "l2"
  },
  "CAP_9a2d9adc": {
   "en": "Mask R-CNN Detection and Mask Prediction",
   "zh": "Mask R-CNN 检测与掩码预测",
   "level": "l2"
  },
  "CAP_834d6cf4": {
   "en": "Mask R-CNN Box Head Prediction",
   "zh": "Mask R-CNN 检测头预测",
   "level": "l3"
  },
  "CAP_2272f2a3": {
   "en": "Mask R-CNN Mask Head Prediction",
   "zh": "Mask R-CNN 掩码头预测",
   "level": "l3"
  },
  "CAP_3c71ed82": {
   "en": "Mask R-CNN Post-processing and Output",
   "zh": "Mask R-CNN 后处理与输出",
   "level": "l2"
  },
  "CAP_d7b13757": {
   "en": "Mask R-CNN Instance Segmentation",
   "zh": "Mask R-CNN 实例分割推理",
   "level": "l3"
  },
  "CAP_44bb3bbf": {
   "en": "Mobile Backbone and Lite FPN",
   "zh": "移动端轻量骨干与特征金字塔",
   "level": "l2"
  },
  "CAP_65b57c88": {
   "en": "Mobile Backbone Replacement",
   "zh": "移动端骨干网络替换",
   "level": "l3"
  },
  "CAP_0d0ee1e8": {
   "en": "Lite FPN Construction",
   "zh": "轻量 FPN 构建",
   "level": "l3"
  },
  "CAP_3edc1274": {
   "en": "Mobile RPN and Detection Head Compression",
   "zh": "移动端 RPN 与检测头压缩",
   "level": "l2"
  },
  "CAP_af4a9533": {
   "en": "Mobile RPN and Head Compression",
   "zh": "移动端 RPN 与检测头压缩",
   "level": "l3"
  },
  "CAP_bfea7a0f": {
   "en": "Mobile Mask Head Optimization",
   "zh": "移动端掩码头优化",
   "level": "l2"
  },
  "CAP_508782af": {
   "en": "Lite Mask Head Prediction",
   "zh": "轻量掩码头预测",
   "level": "l3"
  },
  "CAP_b30edb9e": {
   "en": "Knowledge Distillation for Mask Head",
   "zh": "掩码头知识蒸馏",
   "level": "l3"
  },
  "CAP_b0867af0": {
   "en": "Mobile Quantization and Pipeline Deployment",
   "zh": "移动端量化与端到端部署",
   "level": "l2"
  },
  "CAP_b8825a6d": {
   "en": "INT8 Quantization Deployment",
   "zh": "INT8 量化部署",
   "level": "l3"
  },
  "CAP_66d89e35": {
   "en": "Mobile Mask R-CNN Pipeline",
   "zh": "移动端 Mask R-CNN 推理管道",
   "level": "l3"
  },
  "CAP_b012fb9e": {
   "en": "Video/3D Per-frame Mask R-CNN Segmentation",
   "zh": "视频/3D 逐帧 Mask R-CNN 分割",
   "level": "l2"
  },
  "CAP_ebb2d211": {
   "en": "Temporal Instance Association",
   "zh": "时序实例关联",
   "level": "l2"
  },
  "CAP_264255cc": {
   "en": "Mask to PointCloud Projection",
   "zh": "掩码到3D点云投影",
   "level": "l2"
  },
  "CAP_ebfd4b73": {
   "en": "Spatiotemporal Instance Management",
   "zh": "时空实例管理",
   "level": "l2"
  },
  "CAP_7e46955f": {
   "en": "Spatiotemporal Instance Manager",
   "zh": "时空实例管理器",
   "level": "l3"
  },
  "CAP_6918a705": {
   "en": "Multiview Instance Fusion",
   "zh": "多视角实例融合",
   "level": "l3"
  },
  "CAP_2aae8e0e": {
   "en": "Spatial Inertia Assembly",
   "zh": "空间惯性组装",
   "level": "l3"
  },
  "CAP_943f1f4b": {
   "en": "Mass Matrix Element Computation",
   "zh": "质量矩阵元素计算",
   "level": "l3"
  },
  "CAP_52fab234": {
   "en": "Full Mass Matrix Assembly (CRBA)",
   "zh": "完整质量矩阵组装",
   "level": "l3"
  },
  "CAP_6985baf8": {
   "en": "Composite Rigid Body Inertia Backward Pass",
   "zh": "复合刚体惯性逆向递推",
   "level": "l3"
  },
  "CAP_67e90b16": {
   "en": "Differentiable Mass Matrix Assembly",
   "zh": "可微质量矩阵组装",
   "level": "l2"
  },
  "CAP_60ad6ab9": {
   "en": "Differentiable Inertia Parameterization",
   "zh": "可微惯性参数化",
   "level": "l3"
  },
  "CAP_c63c1f3c": {
   "en": "Differentiable Geometric Matrix Assembly",
   "zh": "可微几何质量矩阵组装",
   "level": "l3"
  },
  "CAP_4704d0a9": {
   "en": "Differentiable Cholesky Force Solve",
   "zh": "可微 Cholesky 力求解",
   "level": "l3"
  },
  "CAP_c9da9d57": {
   "en": "Differentiable Inertia Parameter Identification",
   "zh": "可微惯性参数辨识",
   "level": "l3"
  },
  "CAP_3652217f": {
   "en": "Parallel Contact Dynamics Decomposition",
   "zh": "并行接触动力学分解",
   "level": "l2"
  },
  "CAP_6ff4ab69": {
   "en": "Block-Diagonal Mass Assembly",
   "zh": "块对角质量矩阵并行组装",
   "level": "l3"
  },
  "CAP_67f57666": {
   "en": "Contact Graph Coloring Partition",
   "zh": "接触图着色分区",
   "level": "l3"
  },
  "CAP_1e9b4138": {
   "en": "Parallel Subproblem LCP Solve",
   "zh": "子问题并行 LCP 求解",
   "level": "l3"
  },
  "CAP_78881138": {
   "en": "Cross-Partition Impulse Reconciliation",
   "zh": "跨分区冲量协调",
   "level": "l3"
  },
  "CAP_cd115966": {
   "en": "Mass Matrix Inverse Application",
   "zh": "质量矩阵求逆应用",
   "level": "l3"
  },
  "CAP_3db95edf": {
   "en": "Mass-Spring Implicit Cloth Simulation",
   "zh": "质点-弹簧隐式布料仿真",
   "level": "l2"
  },
  "CAP_c5da4373": {
   "en": "Mass-Spring Network Construction",
   "zh": "质点-弹簧网络构建",
   "level": "l3"
  },
  "CAP_871d2945": {
   "en": "Cloth Force Computation",
   "zh": "布料受力计算",
   "level": "l3"
  },
  "CAP_800ccad6": {
   "en": "Spring Jacobian Assembly",
   "zh": "弹簧雅可比矩阵组装",
   "level": "l3"
  },
  "CAP_26950cac": {
   "en": "Implicit Euler Cloth Solve",
   "zh": "隐式欧拉布料求解",
   "level": "l3"
  },
  "CAP_e6f3ba2f": {
   "en": "Strain Limiting Postprocess",
   "zh": "应变限制后处理",
   "level": "l3"
  },
  "CAP_5a420a67": {
   "en": "Cloth Collision Response (implicit)",
   "zh": "布料碰撞响应（隐式）",
   "level": "l3"
  },
  "CAP_7d562d7e": {
   "en": "Position-Based Cloth Simulation",
   "zh": "基于位置动力学的布料仿真",
   "level": "l2"
  },
  "CAP_dd43de97": {
   "en": "PBD Cloth Constraint Initialization",
   "zh": "PBD 布料约束初始化",
   "level": "l3"
  },
  "CAP_9b8c291c": {
   "en": "PBD Force Integration & Position Prediction",
   "zh": "PBD 外力积分与位置预测",
   "level": "l3"
  },
  "CAP_8e84f2b1": {
   "en": "PBD Distance Constraint Solve",
   "zh": "PBD 距离约束求解",
   "level": "l3"
  },
  "CAP_4b6c4aed": {
   "en": "PBD Bending Constraint Solve",
   "zh": "PBD 弯曲约束求解",
   "level": "l3"
  },
  "CAP_c64d87ae": {
   "en": "PBD Self-Collision Resolve",
   "zh": "PBD 自碰撞求解",
   "level": "l3"
  },
  "CAP_4f2c6306": {
   "en": "XPBD Compliance Solve",
   "zh": "XPBD 合规参数求解",
   "level": "l3"
  },
  "CAP_72f31b10": {
   "en": "PBD GPU Parallel Solver",
   "zh": "PBD GPU 并行求解器",
   "level": "l3"
  },
  "CAP_e5897dc9": {
   "en": "PBD State Finalize & Mesh Reconstruction",
   "zh": "PBD 状态定稿与网格重建",
   "level": "l3"
  },
  "CAP_fba161e9": {
   "en": "Differentiable Cloth Inverse Simulation",
   "zh": "可微布料逆问题求解",
   "level": "l2"
  },
  "CAP_e4cc34d3": {
   "en": "Differentiable Cloth Observation Preprocessing",
   "zh": "可微布料观测预处理",
   "level": "l3"
  },
  "CAP_a346d876": {
   "en": "Differentiable Cloth Forward Sim Graph",
   "zh": "可微布料前向仿真图构建",
   "level": "l3"
  },
  "CAP_7d80a6b3": {
   "en": "Differentiable Cloth Loss Definition",
   "zh": "可微布料损失定义",
   "level": "l3"
  },
  "CAP_d2beb255": {
   "en": "Differentiable Cloth Adjoint Gradient",
   "zh": "可微布料伴随梯度",
   "level": "l3"
  },
  "CAP_4c0193d4": {
   "en": "Differentiable Cloth Parameter Identification",
   "zh": "可微布料参数辨识",
   "level": "l3"
  },
  "CAP_2e3981d8": {
   "en": "Differentiable Cloth State Estimation",
   "zh": "可微布料状态估计",
   "level": "l3"
  },
  "CAP_66d0e6a8": {
   "en": "Differentiable Cloth Online Adaptation",
   "zh": "可微布料在线自适应",
   "level": "l3"
  },
  "CAP_195e24d2": {
   "en": "Action Primitive Experiment Design",
   "zh": "动作原语实验设计",
   "level": "l2"
  },
  "CAP_5cf854fa": {
   "en": "Differentiable Physics Optimization",
   "zh": "可微物理参数优化",
   "level": "l2"
  },
  "CAP_03f71f74": {
   "en": "Model Validation And Injection",
   "zh": "模型验证与注入",
   "level": "l2"
  },
  "CAP_43221360": {
   "en": "Action Primitive Generation",
   "zh": "动作原语生成",
   "level": "l3"
  },
  "CAP_8bf555fa": {
   "en": "Contact And Trajectory Feature Extraction",
   "zh": "接触与轨迹特征提取",
   "level": "l3"
  },
  "CAP_e251290f": {
   "en": "Differentiable Physics Parameter Identification",
   "zh": "可微物理参数辨识",
   "level": "l3"
  },
  "CAP_1c5cc4b9": {
   "en": "Physics Model Validation And Injection",
   "zh": "物理模型验证与注入",
   "level": "l3"
  },
  "CAP_1a003dfb": {
   "en": "Deformable Particle Data Generation",
   "zh": "可变形粒子数据生成",
   "level": "l2"
  },
  "CAP_97550505": {
   "en": "Graph Network Dynamics Training",
   "zh": "图网络动力学训练",
   "level": "l2"
  },
  "CAP_6f31f665": {
   "en": "Real-Time Surrogate Integration",
   "zh": "实时代理求解器集成",
   "level": "l2"
  },
  "CAP_5b7625ad": {
   "en": "Particle Trajectory Generation",
   "zh": "粒子轨迹生成",
   "level": "l3"
  },
  "CAP_a24f4bf5": {
   "en": "Particle Data Preprocessing",
   "zh": "粒子数据预处理",
   "level": "l3"
  },
  "CAP_2c6616b1": {
   "en": "Graph Network Forward Dynamics",
   "zh": "图网络前向动力学",
   "level": "l3"
  },
  "CAP_670ace3f": {
   "en": "Graph Network Training Optimization",
   "zh": "图网络训练优化",
   "level": "l3"
  },
  "CAP_c788680b": {
   "en": "Model Export and Optimization",
   "zh": "模型导出与优化",
   "level": "l3"
  },
  "CAP_9593db19": {
   "en": "Simulator Plugin Integration",
   "zh": "仿真器插件集成",
   "level": "l3"
  },
  "CAP_4c349b9e": {
   "en": "Real Time Surrogate Inference",
   "zh": "实时代理推理",
   "level": "l3"
  },
  "CAP_73dbaa5d": {
   "en": "Prediction Error Monitoring",
   "zh": "预测误差监测",
   "level": "l3"
  },
  "CAP_d96be991": {
   "en": "Online Adaptation Handling",
   "zh": "在线自适应处理",
   "level": "l3"
  },
  "CAP_2ff0122e": {
   "en": "Multimodal Physical Perception and Alignment",
   "zh": "多模态物理感知与对齐",
   "level": "l2"
  },
  "CAP_d99f0630": {
   "en": "Physics Latent Space Modeling",
   "zh": "物理属性隐空间建模",
   "level": "l2"
  },
  "CAP_f7c37bca": {
   "en": "Physics Latent Space Learning",
   "zh": "物理属性隐空间学习",
   "level": "l3"
  },
  "CAP_ba94cc5c": {
   "en": "Cross-modal Material Reasoning",
   "zh": "跨模态材质推理",
   "level": "l2"
  },
  "CAP_b71ac83e": {
   "en": "Cross-modal Reasoning Mode Selection",
   "zh": "跨模态推理模式选择",
   "level": "l3"
  },
  "CAP_fea7bbb9": {
   "en": "Visual-to-Physics Inference",
   "zh": "视觉到物理推理",
   "level": "l3"
  },
  "CAP_e7e32e1c": {
   "en": "Tactile-to-Physics Estimation",
   "zh": "触觉到物理估计",
   "level": "l3"
  },
  "CAP_a8b95473": {
   "en": "Physics-Aware Diffusion Generation",
   "zh": "物理感知扩散生成",
   "level": "l3"
  },
  "CAP_5f8a6fd8": {
   "en": "Physical Simulation Parameter Planning and Optimization",
   "zh": "物理仿真参数规划与优化",
   "level": "l2"
  },
  "CAP_aaf16fb7": {
   "en": "Sim-Param Optimization Loop",
   "zh": "仿真参数优化循环",
   "level": "l3"
  },
  "CAP_3e13c00a": {
   "en": "Interactive Dynamics Parameter Identification",
   "zh": "交互动力学参数辨识",
   "level": "l2"
  },
  "CAP_878fb28a": {
   "en": "Interaction Trajectory Planning and Execution",
   "zh": "交互轨迹规划与执行",
   "level": "l3"
  },
  "CAP_1ad3f66d": {
   "en": "Multimodal Signal Acquisition and Synchronization",
   "zh": "多模态信号同步采集",
   "level": "l3"
  },
  "CAP_ad405fdc": {
   "en": "Interaction Mode Determination",
   "zh": "交互模式判定",
   "level": "l3"
  },
  "CAP_78551452": {
   "en": "Parameter Postprocessing and Confidence Evaluation",
   "zh": "参数后处理与置信度评估",
   "level": "l3"
  },
  "CAP_a78e7dae": {
   "en": "Surface Friction Coefficient Identification",
   "zh": "表面摩擦系数辨识",
   "level": "l3"
  },
  "CAP_ec396d54": {
   "en": "Anisotropic Surface Friction Identification",
   "zh": "各向异性表面摩擦辨识",
   "level": "l3"
  },
  "CAP_4a03c574": {
   "en": "Contact Stiffness Damping Estimation",
   "zh": "接触刚度与阻尼估计",
   "level": "l3"
  },
  "CAP_70fc0367": {
   "en": "LuGre Dynamic Friction Identification",
   "zh": "LuGre动态摩擦辨识",
   "level": "l3"
  },
  "CAP_f6f7ba45": {
   "en": "Adaptive Grasp Force From Friction",
   "zh": "基于摩擦的抓取力自适应调整",
   "level": "l3"
  },
  "CAP_985c0fcf": {
   "en": "Generative Physical Intuition Reasoning",
   "zh": "生成式物理直觉推理",
   "level": "l2"
  },
  "CAP_db68c3b4": {
   "en": "Generative Physical Multimodal Fusion",
   "zh": "生成式物理多模态融合",
   "level": "l3"
  },
  "CAP_73a5b8e8": {
   "en": "Generative Physical Intuition Video Diffusion",
   "zh": "生成式物理直觉视频扩散",
   "level": "l3"
  },
  "CAP_575ab992": {
   "en": "Generative Physical Consistency Constraint",
   "zh": "生成式物理一致性约束",
   "level": "l3"
  },
  "CAP_27a3f55d": {
   "en": "Generative Physical Latent Decoder",
   "zh": "生成式物理隐式解码器",
   "level": "l3"
  },
  "CAP_bc0def1d": {
   "en": "Visuotactile Physical Property Inversion",
   "zh": "视触觉物理属性反演",
   "level": "l2"
  },
  "CAP_fd8477b2": {
   "en": "Visuotactile Physics Inversion",
   "zh": "视触觉物理属性反演推理",
   "level": "l3"
  },
  "CAP_2c82b656": {
   "en": "Active Exploration Policy",
   "zh": "主动探索策略",
   "level": "l3"
  },
  "CAP_774fc8b7": {
   "en": "Differentiable Tactile Simulation",
   "zh": "可微触觉仿真",
   "level": "l3"
  },
  "CAP_9efacde8": {
   "en": "Material Surface Perception",
   "zh": "材料表面感知",
   "level": "l2"
  },
  "CAP_3568448a": {
   "en": "Physical Property Sensing",
   "zh": "物理属性传感",
   "level": "l2"
  },
  "CAP_e225073f": {
   "en": "Multimodal Fusion and Inference",
   "zh": "多模态融合与推理",
   "level": "l2"
  },
  "CAP_75fa4204": {
   "en": "Safety Decision Output",
   "zh": "安全决策输出",
   "level": "l2"
  },
  "CAP_953ecb00": {
   "en": "Material Surface Spectral Acquisition",
   "zh": "材料表面光谱采集",
   "level": "l3"
  },
  "CAP_ddbbc771": {
   "en": "Surface Resistivity Measurement",
   "zh": "表面电阻率测量",
   "level": "l3"
  },
  "CAP_5348ab0c": {
   "en": "Allergen Material Detection",
   "zh": "过敏原材料检测",
   "level": "l3"
  },
  "CAP_816022bd": {
   "en": "Flame Retardancy Verification",
   "zh": "阻燃性验证",
   "level": "l3"
  },
  "CAP_ffc20c78": {
   "en": "Material Safety Knowledge Graph Query",
   "zh": "材料安全知识图谱查询",
   "level": "l3"
  },
  "CAP_077e422e": {
   "en": "Multimodal Material Fusion",
   "zh": "多模态材料融合",
   "level": "l3"
  },
  "CAP_67268921": {
   "en": "Safety Decision Enforcement",
   "zh": "安全决策执行",
   "level": "l3"
  },
  "CAP_0f72bcbe": {
   "en": "Tactile Exploration and Signal Acquisition",
   "zh": "触觉探索与信号采集",
   "level": "l2"
  },
  "CAP_8423124a": {
   "en": "Tactile Exploration Planning",
   "zh": "触觉探索轨迹规划",
   "level": "l3"
  },
  "CAP_288c9ce3": {
   "en": "Multimodal Signal Acquisition (Tactile-AE)",
   "zh": "多模态信号采集（触觉-声发射）",
   "level": "l3"
  },
  "CAP_1cc1fb36": {
   "en": "Signal Processing and Fragility Index Computation",
   "zh": "信号处理与脆弱性指标计算",
   "level": "l2"
  },
  "CAP_7f676f6b": {
   "en": "Signal Preprocessing and Feature Extraction",
   "zh": "信号预处理与特征提取",
   "level": "l3"
  },
  "CAP_2a8547a7": {
   "en": "Tactile Crack Detection",
   "zh": "触觉微裂纹检测",
   "level": "l3"
  },
  "CAP_4fe7e518": {
   "en": "Fragility Index Computation",
   "zh": "脆弱性指标计算",
   "level": "l3"
  },
  "CAP_c11c134a": {
   "en": "Fragility Assessment and Decision",
   "zh": "脆弱性评估与决策",
   "level": "l2"
  },
  "CAP_9685d603": {
   "en": "Fragility Classification and Reporting",
   "zh": "脆弱性等级判定与报告",
   "level": "l3"
  },
  "CAP_92946a44": {
   "en": "Multimodal Tactile Perception and Synchronization",
   "zh": "多模态触觉感知与同步",
   "level": "l2"
  },
  "CAP_49d4ee37": {
   "en": "Material Property Perception and Estimation",
   "zh": "材料特性感知与估计",
   "level": "l2"
  },
  "CAP_e2de2a94": {
   "en": "Adaptive Cutting Decision and Control",
   "zh": "自适应切割决策与控制",
   "level": "l2"
  },
  "CAP_3369ac35": {
   "en": "Multimodal Tactile Synchronized Acquisition",
   "zh": "多模态触觉同步采集",
   "level": "l3"
  },
  "CAP_1f65a789": {
   "en": "Tactile Signal Preprocessing and Feature Extraction",
   "zh": "触觉信号预处理与特征提取",
   "level": "l3"
  },
  "CAP_68ba5bee": {
   "en": "Material Hardness Estimation from Tactile Signals",
   "zh": "触觉材料硬度在线估计",
   "level": "l3"
  },
  "CAP_3681c995": {
   "en": "Tactile Thickness Variation Detection",
   "zh": "触觉厚度变化检测",
   "level": "l3"
  },
  "CAP_9fa33339": {
   "en": "Tactile Texture Classification",
   "zh": "触觉纹理分类",
   "level": "l3"
  },
  "CAP_b031fe70": {
   "en": "Adaptive Cutting Parameter Generation",
   "zh": "自适应切割参数生成",
   "level": "l3"
  },
  "CAP_fe38df37": {
   "en": "Hybrid Force-Position Control for Cutting",
   "zh": "切割力位混合控制执行",
   "level": "l3"
  },
  "CAP_40609312": {
   "en": "Visual Semantic Segmentation and Feature Extraction",
   "zh": "视觉语义分割与特征提取",
   "level": "l2"
  },
  "CAP_fe03f8bc": {
   "en": "Visual Material Property Inference",
   "zh": "视觉材料属性推理",
   "level": "l2"
  },
  "CAP_54aaedb9": {
   "en": "Cutting Strategy Semantic Generation",
   "zh": "切割策略语义生成",
   "level": "l2"
  },
  "CAP_2079726d": {
   "en": "Visual Cut Quality Assessment Loop",
   "zh": "视觉切割质量评估闭环",
   "level": "l2"
  },
  "CAP_0b575629": {
   "en": "Semantic Material Segmentation",
   "zh": "语义材料分割",
   "level": "l3"
  },
  "CAP_89aff145": {
   "en": "Visual to Physical Property Mapping",
   "zh": "视觉到物理属性映射",
   "level": "l3"
  },
  "CAP_180f332f": {
   "en": "LLM Based Cutting Strategy Generation",
   "zh": "基于LLM的切割策略生成",
   "level": "l3"
  },
  "CAP_8940ca4d": {
   "en": "Visual Cut Quality Assessment",
   "zh": "视觉切割质量评估",
   "level": "l3"
  },
  "CAP_f26a7a18": {
   "en": "Diffusion Policy Deformable Cutting",
   "zh": "基于扩散策略的变形材料切割",
   "level": "l2"
  },
  "CAP_21f1514d": {
   "en": "Diffusion Policy Deformable Cutting Skill",
   "zh": "扩散策略变形切割技能",
   "level": "l3"
  },
  "CAP_83c11534": {
   "en": "Multimodal Observation Encoder",
   "zh": "多模态观测编码器",
   "level": "l3"
  },
  "CAP_11eead2f": {
   "en": "Online Material Adaptation",
   "zh": "在线材料自适应",
   "level": "l3"
  },
  "CAP_b508fda3": {
   "en": "Safe Cutting Execution",
   "zh": "安全切割执行",
   "level": "l3"
  },
  "CAP_9b3d2d91": {
   "en": "Demonstration Augmentation",
   "zh": "演示数据增强",
   "level": "l3"
  },
  "CAP_625e9499": {
   "en": "Data Preprocessing and Trajectory Segmentation",
   "zh": "数据预处理与轨迹分割",
   "level": "l2"
  },
  "CAP_43fd7f4d": {
   "en": "Hierarchical Graphical Model Construction",
   "zh": "分层概率图模型构建",
   "level": "l2"
  },
  "CAP_215673ac": {
   "en": "Variational Posterior Inference",
   "zh": "变分后验推断",
   "level": "l2"
  },
  "CAP_ddb62dd2": {
   "en": "Hierarchical Policy Extraction and Validation",
   "zh": "分层策略提取与验证",
   "level": "l2"
  },
  "CAP_1635665d": {
   "en": "Policy Deployment and Online Adaptation",
   "zh": "策略部署与在线适应",
   "level": "l2"
  },
  "CAP_55a9168b": {
   "en": "Hierarchical Graphical Model Definition",
   "zh": "分层概率图模型定义",
   "level": "l3"
  },
  "CAP_33defba8": {
   "en": "Hierarchical Policy Prior Design",
   "zh": "分层策略先验设计",
   "level": "l3"
  },
  "CAP_a0d9f909": {
   "en": "Bayesian Variational Hierarchical IRL",
   "zh": "贝叶斯变分分层逆强化学习",
   "level": "l3"
  },
  "CAP_c24d5b0e": {
   "en": "Policy Extraction",
   "zh": "策略提取",
   "level": "l3"
  },
  "CAP_8aabe1e5": {
   "en": "Uncertainty-Aware Subgoal Extraction",
   "zh": "不确定性感知子目标提取",
   "level": "l3"
  },
  "CAP_847667ff": {
   "en": "Structured MaxEnt Subgoal Chain Learning",
   "zh": "结构化最大熵子目标链学习",
   "level": "l2"
  },
  "CAP_d66f1610": {
   "en": "Subgoal Proposal from Demonstrations",
   "zh": "基于演示的子目标提议",
   "level": "l3"
  },
  "CAP_4aa5a27b": {
   "en": "MaxEnt Subgoal Inference",
   "zh": "最大熵子目标推断",
   "level": "l3"
  },
  "CAP_7b5355aa": {
   "en": "Hierarchical MaxEnt Policy Training",
   "zh": "分层最大熵策略训练",
   "level": "l3"
  },
  "CAP_6be6e902": {
   "en": "Subgoal Chain Refinement",
   "zh": "子目标链语义精炼",
   "level": "l3"
  },
  "CAP_91c396de": {
   "en": "Subgoal Sequence Modeling",
   "zh": "子目标序列建模",
   "level": "l2"
  },
  "CAP_c785c88f": {
   "en": "Hierarchical Policy Learning",
   "zh": "分层策略学习",
   "level": "l2"
  },
  "CAP_d5a76df8": {
   "en": "Subgoal Sequence Validation",
   "zh": "子目标序列验证",
   "level": "l2"
  },
  "CAP_d121e50c": {
   "en": "Energy-Based Subgoal Model",
   "zh": "能量基子目标模型",
   "level": "l3"
  },
  "CAP_321ec276": {
   "en": "Hierarchical MaxEnt SAC",
   "zh": "分层最大熵SAC",
   "level": "l3"
  },
  "CAP_4fb98bc2": {
   "en": "Beam Search Subgoal Generation",
   "zh": "束搜索子目标生成",
   "level": "l3"
  },
  "CAP_bf7cb7b7": {
   "en": "Feature Extraction and Expert Expectation",
   "zh": "特征提取与专家期望统计",
   "level": "l2"
  },
  "CAP_c5b24735": {
   "en": "Maximum Entropy Policy Evaluation and Occupancy Measure",
   "zh": "最大熵策略评估与占用度量",
   "level": "l2"
  },
  "CAP_5daaaaf0": {
   "en": "Reward Parameter Optimization and Convergence Output",
   "zh": "奖励参数优化与收敛输出",
   "level": "l2"
  },
  "CAP_d41dcfa8": {
   "en": "Expert Feature Expectation Computation",
   "zh": "专家特征期望计算",
   "level": "l3"
  },
  "CAP_0977308d": {
   "en": "Soft Value Iteration",
   "zh": "软值迭代",
   "level": "l3"
  },
  "CAP_e7835e42": {
   "en": "Forward Backward State Visitation",
   "zh": "前向后向状态访问频率计算",
   "level": "l3"
  },
  "CAP_889ae71c": {
   "en": "Policy Feature Expectation Computation",
   "zh": "策略特征期望计算",
   "level": "l3"
  },
  "CAP_b2896ddd": {
   "en": "Reward Parameter Gradient Update",
   "zh": "奖励参数梯度更新",
   "level": "l3"
  },
  "CAP_78f8fc77": {
   "en": "MaxEnt Linear Reward Inference",
   "zh": "最大熵线性奖励推断",
   "level": "l3"
  },
  "CAP_cb65a726": {
   "en": "Trajectory Likelihood Evaluation",
   "zh": "轨迹似然评估",
   "level": "l3"
  },
  "CAP_90c39dde": {
   "en": "Adversarial Data Preparation",
   "zh": "对抗数据准备",
   "level": "l2"
  },
  "CAP_131e4c08": {
   "en": "Adversarial Policy Deployment",
   "zh": "对抗策略部署",
   "level": "l2"
  },
  "CAP_c89a2747": {
   "en": "Expert Demonstration Collection and Preprocessing",
   "zh": "专家演示采集与预处理",
   "level": "l3"
  },
  "CAP_8e8e65a1": {
   "en": "Discriminator Network Initialization",
   "zh": "判别器网络初始化",
   "level": "l3"
  },
  "CAP_80a84dfb": {
   "en": "Online Interaction and Trajectory Collection",
   "zh": "在线交互与轨迹收集",
   "level": "l3"
  },
  "CAP_6989368f": {
   "en": "Architecture Variant Selection",
   "zh": "架构变体选择",
   "level": "l3"
  },
  "CAP_0cead52c": {
   "en": "Reward Function Recovery",
   "zh": "奖励函数恢复（AIRL变体）",
   "level": "l3"
  },
  "CAP_4feb6772": {
   "en": "f-Divergence Minimization for IRL",
   "zh": "f-散度最小化逆强化学习（f-GAIL变体）",
   "level": "l3"
  },
  "CAP_5f3b1294": {
   "en": "Reward Signal Aggregation",
   "zh": "奖励信号聚合",
   "level": "l3"
  },
  "CAP_6fa00ff7": {
   "en": "Policy Gradient Update with Adversarial Reward",
   "zh": "基于对抗奖励的策略梯度更新",
   "level": "l3"
  },
  "CAP_d711bd83": {
   "en": "Declarative Tool Cache Pipeline",
   "zh": "声明式工具缓存流水线",
   "level": "l2"
  },
  "CAP_e8cf9f72": {
   "en": "Tool Cache Policy Declaration",
   "zh": "工具缓存策略声明",
   "level": "l3"
  },
  "CAP_d7fd18e7": {
   "en": "Tool Call Request Interception",
   "zh": "工具调用请求拦截",
   "level": "l3"
  },
  "CAP_7526a6ff": {
   "en": "Parameterized Cache Key Generation",
   "zh": "参数化缓存键生成",
   "level": "l3"
  },
  "CAP_c3a6eacc": {
   "en": "Pluggable Cache Backend",
   "zh": "可插拔缓存后端",
   "level": "l3"
  },
  "CAP_1579bf6a": {
   "en": "Cache Decision Engine",
   "zh": "缓存决策引擎",
   "level": "l3"
  },
  "CAP_44ef77be": {
   "en": "Single Flight Merge",
   "zh": "单次飞行合并",
   "level": "l3"
  },
  "CAP_f1aec437": {
   "en": "MCP Tool Call Forwarding",
   "zh": "MCP 工具调用转发",
   "level": "l3"
  },
  "CAP_b511d3c5": {
   "en": "Hierarchical Environment State Caching",
   "zh": "层次化环境状态缓存",
   "level": "l2"
  },
  "CAP_9d43290d": {
   "en": "Spatial Hierarchy Cache",
   "zh": "空间层次缓存",
   "level": "l3"
  },
  "CAP_cdba2090": {
   "en": "Predictive State Refresh",
   "zh": "预测性状态刷新",
   "level": "l3"
  },
  "CAP_025c90e9": {
   "en": "Semantic Index Cache",
   "zh": "语义索引缓存",
   "level": "l3"
  },
  "CAP_7ccedb69": {
   "en": "Cache Coherence Protocol",
   "zh": "缓存一致性协议",
   "level": "l3"
  },
  "CAP_0ec5e405": {
   "en": "Cache Warming Planner",
   "zh": "缓存预热规划",
   "level": "l3"
  },
  "CAP_5f394d1b": {
   "en": "Workflow Checkpoint Initialization",
   "zh": "工作流检查点初始化",
   "level": "l2"
  },
  "CAP_c79d2fa7": {
   "en": "Checkpoint Backend Configuration",
   "zh": "检查点后端配置",
   "level": "l3"
  },
  "CAP_0cc55be0": {
   "en": "Cache Retention Policy Setup",
   "zh": "缓存保留策略设置",
   "level": "l3"
  },
  "CAP_919d4a2c": {
   "en": "MCP Tool Node Registration",
   "zh": "MCP 工具节点注册",
   "level": "l3"
  },
  "CAP_78773fb0": {
   "en": "Tool Idempotency Declaration",
   "zh": "工具幂等性声明",
   "level": "l3"
  },
  "CAP_04b32ec9": {
   "en": "Checkpoint Cache Lookup and Write",
   "zh": "检查点缓存查询与写入",
   "level": "l2"
  },
  "CAP_ec736687": {
   "en": "Workflow Cache Key Generation",
   "zh": "工作流缓存键生成",
   "level": "l3"
  },
  "CAP_4dd89cee": {
   "en": "Checkpoint Cache Lookup",
   "zh": "检查点缓存查询",
   "level": "l3"
  },
  "CAP_53e97f40": {
   "en": "MCP Tool Call Execution",
   "zh": "MCP 工具调用执行",
   "level": "l3"
  },
  "CAP_30471122": {
   "en": "Checkpoint Cache Write",
   "zh": "检查点缓存写入",
   "level": "l3"
  },
  "CAP_edbcf4f2": {
   "en": "Cache Maintenance and Recovery",
   "zh": "缓存维护与恢复",
   "level": "l2"
  },
  "CAP_69417587": {
   "en": "Cache Invalidation Trigger",
   "zh": "缓存失效触发器",
   "level": "l3"
  },
  "CAP_4a4f5106": {
   "en": "Workflow Replay with Cache",
   "zh": "工作流重放与缓存",
   "level": "l3"
  },
  "CAP_2d1a48bf": {
   "en": "Cross-session Cache Merging",
   "zh": "跨会话缓存合并",
   "level": "l3"
  },
  "CAP_cc9fc238": {
   "en": "Context Acquisition and Code Request",
   "zh": "上下文获取与代码请求",
   "level": "l2"
  },
  "CAP_6d6edfa6": {
   "en": "Safe Code Execution",
   "zh": "安全代码执行",
   "level": "l2"
  },
  "CAP_0f4b39be": {
   "en": "Feedback and Closure",
   "zh": "反馈与闭环",
   "level": "l2"
  },
  "CAP_296bcd58": {
   "en": "LLMCodeRequest",
   "zh": "LLM代码请求",
   "level": "l3"
  },
  "CAP_ebba7b06": {
   "en": "CodeSafetyValidation",
   "zh": "代码安全校验",
   "level": "l3"
  },
  "CAP_29829e20": {
   "en": "DynamicCodeExecution",
   "zh": "动态代码执行",
   "level": "l3"
  },
  "CAP_4ffba3bd": {
   "en": "ContextualCodeInjection",
   "zh": "上下文代码注入",
   "level": "l3"
  },
  "CAP_0569ed78": {
   "en": "ClosedLoopFeedbackRelay",
   "zh": "闭环反馈中继",
   "level": "l3"
  },
  "CAP_b5f6a743": {
   "en": "Multimodal Perception and Encoding",
   "zh": "多模态感知编码",
   "level": "l3"
  },
  "CAP_72b742a4": {
   "en": "Open-Vocabulary Tool Discovery",
   "zh": "开放式词汇工具发现",
   "level": "l3"
  },
  "CAP_15ac009e": {
   "en": "Open-Vocabulary Tool Matching",
   "zh": "开放式词汇工具匹配",
   "level": "l3"
  },
  "CAP_b35b5648": {
   "en": "Dynamic Tool Query and Index Update",
   "zh": "动态工具查询与索引更新",
   "level": "l3"
  },
  "CAP_11b2b790": {
   "en": "Tool Parameter Reasoning",
   "zh": "工具参数推理",
   "level": "l2"
  },
  "CAP_e1f8c216": {
   "en": "VLM Tool Parameter Inference",
   "zh": "VLM 工具参数推理",
   "level": "l3"
  },
  "CAP_1eb523e6": {
   "en": "MCP Protocol Interaction and Safety Gateway",
   "zh": "MCP 协议交互与安全网关",
   "level": "l2"
  },
  "CAP_39c51251": {
   "en": "VLM-based Safety Risk Assessment",
   "zh": "基于 VLM 的安全风险评估",
   "level": "l3"
  },
  "CAP_8670a1de": {
   "en": "MCP Protocol Client Execution",
   "zh": "MCP 协议客户端执行",
   "level": "l3"
  },
  "CAP_49a2b107": {
   "en": "Human-in-the-loop Collaboration Request",
   "zh": "人机协作请求",
   "level": "l3"
  },
  "CAP_3604656a": {
   "en": "Multimodal Result Interpretation and Feedback",
   "zh": "多模态结果解释与反馈",
   "level": "l2"
  },
  "CAP_0134322f": {
   "en": "Multimodal Result Interpretation",
   "zh": "多模态结果解释",
   "level": "l3"
  },
  "CAP_ffc8cdef": {
   "en": "Session and Tool Discovery",
   "zh": "会话与工具发现",
   "level": "l2"
  },
  "CAP_a29477e6": {
   "en": "Tool Invocation and Sensor Injection",
   "zh": "工具调用与传感器注入",
   "level": "l3"
  },
  "CAP_85be3522": {
   "en": "Concurrency Scheduling and Error Recovery",
   "zh": "并发调度与错误恢复",
   "level": "l3"
  },
  "CAP_ec8c5b13": {
   "en": "Safety Guardian",
   "zh": "安全监护",
   "level": "l3"
  },
  "CAP_de7b4863": {
   "en": "HSM-Based Lifecycle",
   "zh": "基于分层状态机的生命周期管理",
   "level": "l3"
  },
  "CAP_fc3aa4fc": {
   "en": "Tool Discovery and Caching",
   "zh": "工具发现与缓存",
   "level": "l3"
  },
  "CAP_27e5f465": {
   "en": "Tool Invocation Orchestration",
   "zh": "工具调用编排",
   "level": "l3"
  },
  "CAP_e84d4dbc": {
   "en": "Prioritized Concurrent Invocation",
   "zh": "优先级并发调用调度",
   "level": "l3"
  },
  "CAP_55f06f2f": {
   "en": "Error Recovery and Fallback",
   "zh": "错误恢复与回退",
   "level": "l3"
  },
  "CAP_2db639c7": {
   "en": "Sensor Context Injection",
   "zh": "传感器上下文注入",
   "level": "l3"
  },
  "CAP_dae8ac17": {
   "en": "Guardian Safety Interlock",
   "zh": "安全监护互锁",
   "level": "l3"
  },
  "CAP_cc748a98": {
   "en": "Perception and Tool Discovery",
   "zh": "多模态感知与工具发现",
   "level": "l2"
  },
  "CAP_f9ddd720": {
   "en": "Tool Invocation and Execution",
   "zh": "工具调用与执行",
   "level": "l2"
  },
  "CAP_8e550775": {
   "en": "Result Interpretation and Feedback",
   "zh": "结果解释与闭环反馈",
   "level": "l2"
  },
  "CAP_6983668d": {
   "en": "Multimodal Perception and Open-Vocab Tool Discovery",
   "zh": "多模态感知与开放式词汇工具发现",
   "level": "l2"
  },
  "CAP_ed4da4bd": {
   "en": "Tool Call Planning and Safe Execution",
   "zh": "工具调用规划与安全执行",
   "level": "l2"
  },
  "CAP_2866c928": {
   "en": "Tool Schema Assisted Parameter Generation",
   "zh": "工具Schema辅助参数生成",
   "level": "l3"
  },
  "CAP_70e76c34": {
   "en": "Hierarchical MCP Client Orchestration",
   "zh": "分层状态机MCP客户端编排",
   "level": "l2"
  },
  "CAP_c8145a8c": {
   "en": "Physical State Perception and Dynamics Modeling",
   "zh": "物理状态感知与动力学建模",
   "level": "l2"
  },
  "CAP_4460134f": {
   "en": "Residual-based Anomaly Detection",
   "zh": "基于残差的异常检测",
   "level": "l2"
  },
  "CAP_a84bcebc": {
   "en": "Compliance Control",
   "zh": "顺应控制",
   "level": "l2"
  },
  "CAP_d39c502f": {
   "en": "Real-time Joint State Acquisition",
   "zh": "实时关节状态采集",
   "level": "l3"
  },
  "CAP_20dc6232": {
   "en": "Adaptive Threshold Anomaly Detector",
   "zh": "自适应阈值异常检测器",
   "level": "l3"
  },
  "CAP_c2941fe9": {
   "en": "Contact Localization from Residual",
   "zh": "基于残差的接触定位",
   "level": "l3"
  },
  "CAP_cea5fc64": {
   "en": "Semantic Scene Verification",
   "zh": "语义场景验证",
   "level": "l2"
  },
  "CAP_47d77d16": {
   "en": "Semantic Recovery Planning",
   "zh": "语义恢复规划",
   "level": "l2"
  },
  "CAP_fd8e04ed": {
   "en": "Semantic Recovery Execution",
   "zh": "语义恢复执行与验证",
   "level": "l3"
  },
  "CAP_391faa79": {
   "en": "Semantic Anomaly Detection",
   "zh": "语义异常检测",
   "level": "l3"
  },
  "CAP_e4ca4be6": {
   "en": "Task Context Reconstruction",
   "zh": "任务上下文重建",
   "level": "l3"
  },
  "CAP_0838df2b": {
   "en": "Recovery Strategy Generation",
   "zh": "恢复策略生成",
   "level": "l3"
  },
  "CAP_05534c6b": {
   "en": "Closed-loop Recovery Verification",
   "zh": "闭环恢复验证",
   "level": "l3"
  },
  "CAP_f471c3f2": {
   "en": "Force-controlled Assembly Fallback",
   "zh": "力控装配回退",
   "level": "l2"
  },
  "CAP_9271545b": {
   "en": "Force Sensor Fallback",
   "zh": "力传感器回退",
   "level": "l3"
  },
  "CAP_a3dcad09": {
   "en": "Motion Plan Fallback",
   "zh": "运动规划回退",
   "level": "l3"
  },
  "CAP_8e7a1342": {
   "en": "Grasp Verify Fallback",
   "zh": "抓取验证回退",
   "level": "l3"
  },
  "CAP_44e10a2e": {
   "en": "Assembly Verify Fallback",
   "zh": "装配验证回退",
   "level": "l3"
  },
  "CAP_7b953a70": {
   "en": "Fallback State Machine",
   "zh": "回退状态机",
   "level": "l3"
  },
  "CAP_5ab53cad": {
   "en": "Uncertainty-aware Grasp Fallback",
   "zh": "不确定性感知抓取回退",
   "level": "l2"
  },
  "CAP_66def668": {
   "en": "Uncertainty Metric Extraction",
   "zh": "不确定性指标提取",
   "level": "l3"
  },
  "CAP_699625a8": {
   "en": "Fallback Action Executor",
   "zh": "回退动作执行器",
   "level": "l3"
  },
  "CAP_f9f05492": {
   "en": "Safety-constrained Fallback",
   "zh": "安全约束回退",
   "level": "l3"
  },
  "CAP_9b4d0bac": {
   "en": "Fallback Context Logger",
   "zh": "回退上下文日志",
   "level": "l3"
  },
  "CAP_d3cf5af6": {
   "en": "Safe RL Nav Fallback",
   "zh": "安全强化学习导航回退",
   "level": "l2"
  },
  "CAP_cc807cc0": {
   "en": "Safe RL Policy Inference",
   "zh": "安全强化学习策略推理",
   "level": "l3"
  },
  "CAP_86398561": {
   "en": "Constraint Monitor",
   "zh": "约束监控器",
   "level": "l3"
  },
  "CAP_67d01dc9": {
   "en": "MCP Error to Context Mapper",
   "zh": "MCP错误上下文映射器",
   "level": "l3"
  },
  "CAP_eabf3b28": {
   "en": "Semantic Scene Understanding",
   "zh": "语义场景理解",
   "level": "l2"
  },
  "CAP_e0fbf830": {
   "en": "Grasp Planning and Evaluation",
   "zh": "抓取规划与评估",
   "level": "l2"
  },
  "CAP_c364aabe": {
   "en": "Grasp Execution and Learning",
   "zh": "抓取执行与学习",
   "level": "l2"
  },
  "CAP_dcca23a6": {
   "en": "Semantic Latent Encoding",
   "zh": "语义潜空间编码",
   "level": "l3"
  },
  "CAP_7278f830": {
   "en": "Latent Grasp Proposal",
   "zh": "潜空间抓取位姿生成",
   "level": "l3"
  },
  "CAP_e4fd3361": {
   "en": "Grasp Execution Monitoring",
   "zh": "抓取执行监控",
   "level": "l3"
  },
  "CAP_70083927": {
   "en": "Grasp Result Learning",
   "zh": "抓取结果学习",
   "level": "l3"
  },
  "CAP_601983d4": {
   "en": "Simulation Interface Specification",
   "zh": "仿真接口规范",
   "level": "l2"
  },
  "CAP_606d29e7": {
   "en": "Real Robot Interface Specification",
   "zh": "真实机器人接口规范",
   "level": "l2"
  },
  "CAP_0b138ac8": {
   "en": "Isomorphism Verification and Calibration",
   "zh": "同构验证与校准",
   "level": "l2"
  },
  "CAP_5f00043b": {
   "en": "Policy Transfer Execution",
   "zh": "策略迁移执行",
   "level": "l2"
  },
  "CAP_abafa252": {
   "en": "Simulation Environment MCP Interface Definition",
   "zh": "仿真环境 MCP 接口定义",
   "level": "l3"
  },
  "CAP_c3f6102b": {
   "en": "Domain Randomization Interface",
   "zh": "域随机化接口",
   "level": "l3"
  },
  "CAP_7f33da79": {
   "en": "Real Robot MCP Interface Definition",
   "zh": "真实机器人 MCP 接口定义",
   "level": "l3"
  },
  "CAP_7de6c70a": {
   "en": "Interface Isomorphism Verification",
   "zh": "接口同构验证",
   "level": "l3"
  },
  "CAP_7b1ca141": {
   "en": "Policy Transfer Executor",
   "zh": "策略迁移执行器",
   "level": "l3"
  },
  "CAP_2bd14e30": {
   "en": "Semantic Extraction and Representation",
   "zh": "语义提取与表示",
   "level": "l2"
  },
  "CAP_76c45d62": {
   "en": "Alignment and Risk Assessment",
   "zh": "对齐与风险评估",
   "level": "l2"
  },
  "CAP_0228df9f": {
   "en": "Interception Decision Execution",
   "zh": "拦截决策执行",
   "level": "l2"
  },
  "CAP_2755e390": {
   "en": "Intent Vectorization",
   "zh": "意图向量化",
   "level": "l3"
  },
  "CAP_b346767e": {
   "en": "Tool Semantic Extraction",
   "zh": "工具语义提取",
   "level": "l3"
  },
  "CAP_7b2f9c26": {
   "en": "Semantic Alignment Scoring",
   "zh": "语义对齐评分",
   "level": "l3"
  },
  "CAP_144c3cca": {
   "en": "Intercept Decision Execution",
   "zh": "拦截决策执行",
   "level": "l3"
  },
  "CAP_9a8899a4": {
   "en": "Request Interception and Context Aggregation",
   "zh": "请求拦截与上下文聚合",
   "level": "l2"
  },
  "CAP_3880cb13": {
   "en": "Tool Call Interception",
   "zh": "工具调用拦截",
   "level": "l3"
  },
  "CAP_a1d0e39c": {
   "en": "Policy Evaluation and Dynamic Authorization",
   "zh": "策略评估与动态授权",
   "level": "l2"
  },
  "CAP_cd256474": {
   "en": "Permission Token Generation",
   "zh": "权限令牌生成",
   "level": "l3"
  },
  "CAP_7cf035c5": {
   "en": "Permission Enforcement",
   "zh": "权限执行",
   "level": "l2"
  },
  "CAP_3581d2c8": {
   "en": "Parameter Whitelist Enforcement",
   "zh": "参数白名单执行",
   "level": "l3"
  },
  "CAP_126fdeae": {
   "en": "Authorized Tool Invocation",
   "zh": "授权工具调用执行",
   "level": "l3"
  },
  "CAP_b0dfd17e": {
   "en": "Audit Logging",
   "zh": "审计日志",
   "level": "l3"
  },
  "CAP_18abe7b2": {
   "en": "Constraint Model Loading and Intent Extraction",
   "zh": "约束模型加载与意图提取",
   "level": "l2"
  },
  "CAP_ecc5c785": {
   "en": "Physical Constraint Validation and Safety Response",
   "zh": "物理约束验证与安全响应",
   "level": "l2"
  },
  "CAP_c096e733": {
   "en": "Constraint Model Loading",
   "zh": "约束模型加载",
   "level": "l3"
  },
  "CAP_8b35894e": {
   "en": "MCP Tool Interception and Physical Intent Extraction",
   "zh": "MCP工具拦截与物理意图提取",
   "level": "l3"
  },
  "CAP_c1c88fde": {
   "en": "Cartesian Workspace Check",
   "zh": "笛卡尔工作空间检查",
   "level": "l3"
  },
  "CAP_895eb022": {
   "en": "Self Collision Check",
   "zh": "自碰撞检测",
   "level": "l3"
  },
  "CAP_17537dfb": {
   "en": "Environment Collision Check",
   "zh": "环境碰撞检测",
   "level": "l3"
  },
  "CAP_a941bf66": {
   "en": "Constraint Check Result Aggregation",
   "zh": "约束检查结果汇总",
   "level": "l3"
  },
  "CAP_7f62320a": {
   "en": "Command Clamping",
   "zh": "指令钳制",
   "level": "l3"
  },
  "CAP_41fb1c7a": {
   "en": "Safety Response Handling",
   "zh": "安全响应处理",
   "level": "l3"
  },
  "CAP_cdb4b606": {
   "en": "Audit Logging and Compliance",
   "zh": "审计日志与合规",
   "level": "l2"
  },
  "CAP_6734fc2b": {
   "en": "Resource Awareness and Assessment",
   "zh": "资源感知与评估",
   "level": "l2"
  },
  "CAP_812547a4": {
   "en": "Protocol Sync and Dynamic Adjustment",
   "zh": "协议同步与动态调整",
   "level": "l2"
  },
  "CAP_19b63a42": {
   "en": "Agent State Awareness",
   "zh": "智能体状态感知",
   "level": "l2"
  },
  "CAP_9cd4ca6f": {
   "en": "Resource Collection Agent",
   "zh": "资源采集代理",
   "level": "l3"
  },
  "CAP_7c5f4272": {
   "en": "State Aggregation Engine",
   "zh": "状态聚合引擎",
   "level": "l3"
  },
  "CAP_b7addb54": {
   "en": "MCP Health Endpoint",
   "zh": "MCP健康检查端点",
   "level": "l3"
  },
  "CAP_384d59e3": {
   "en": "Dynamic Tool Registry",
   "zh": "动态工具注册表",
   "level": "l3"
  },
  "CAP_9c0f7260": {
   "en": "Agent State Cache",
   "zh": "智能体状态缓存",
   "level": "l3"
  },
  "CAP_91dee5f5": {
   "en": "Environment Preparation",
   "zh": "环境准备",
   "level": "l2"
  },
  "CAP_8b624fa2": {
   "en": "Configuration and Security Setup",
   "zh": "配置与安全设置",
   "level": "l2"
  },
  "CAP_6db27358": {
   "en": "Service Launch and Verification",
   "zh": "服务启动与验证",
   "level": "l2"
  },
  "CAP_19852064": {
   "en": "Environment Precheck and Dependency Installation",
   "zh": "环境预检与依赖安装",
   "level": "l3"
  },
  "CAP_9b2b05ac": {
   "en": "MCP Package Acquisition",
   "zh": "MCP服务器包获取",
   "level": "l3"
  },
  "CAP_87da2e43": {
   "en": "Tool Interface Configuration",
   "zh": "工具接口配置",
   "level": "l3"
  },
  "CAP_faacbf63": {
   "en": "Transport Security Setup",
   "zh": "传输层与安全设置",
   "level": "l3"
  },
  "CAP_b7f634d4": {
   "en": "Service Launch and Daemonization",
   "zh": "服务启动与守护",
   "level": "l3"
  },
  "CAP_ece19e27": {
   "en": "Connectivity and Tool Discovery Verification",
   "zh": "连通性与工具发现验证",
   "level": "l3"
  },
  "CAP_b5f026c4": {
   "en": "Perception Requirement Orchestration",
   "zh": "感知需求编排",
   "level": "l2"
  },
  "CAP_15f7376f": {
   "en": "Perception Requirement Decomposition",
   "zh": "感知需求分解",
   "level": "l3"
  },
  "CAP_7957de00": {
   "en": "Distributed MCP Server Deployment and Registry",
   "zh": "分布式MCP服务器部署与注册",
   "level": "l2"
  },
  "CAP_eb70599d": {
   "en": "Distributed MCP Server Launch",
   "zh": "分布式MCP服务器启动",
   "level": "l3"
  },
  "CAP_c87064f8": {
   "en": "MCP Service Registry Integration",
   "zh": "MCP服务注册中心集成",
   "level": "l3"
  },
  "CAP_317f68bf": {
   "en": "Distributed Perception Invocation and Operations",
   "zh": "分布式感知调用与运维",
   "level": "l2"
  },
  "CAP_794b39df": {
   "en": "Concurrent MCP Tool Invocation",
   "zh": "并发MCP工具调用",
   "level": "l3"
  },
  "CAP_51f5c8fe": {
   "en": "MCP Server Health Polling",
   "zh": "MCP服务器健康轮询",
   "level": "l3"
  },
  "CAP_3063ba7f": {
   "en": "Intent and Context Acquisition",
   "zh": "意图与上下文获取",
   "level": "l2"
  },
  "CAP_5cc26b75": {
   "en": "Task Decomposition Planning",
   "zh": "任务分解规划",
   "level": "l2"
  },
  "CAP_ad3ec2d4": {
   "en": "Parameter Resolution",
   "zh": "参数解析",
   "level": "l2"
  },
  "CAP_0014ccfd": {
   "en": "Plan Validation and Serialization",
   "zh": "计划验证与序列化",
   "level": "l2"
  },
  "CAP_e49f8deb": {
   "en": "Intent Parsing and Context Building",
   "zh": "意图解析与上下文构建",
   "level": "l3"
  },
  "CAP_8654f294": {
   "en": "Tool Semantic Filtering",
   "zh": "工具语义过滤",
   "level": "l3"
  },
  "CAP_ec291de6": {
   "en": "Tool Sufficiency Evaluation",
   "zh": "工具充足性评估",
   "level": "l3"
  },
  "CAP_48427342": {
   "en": "Insufficient Tools Response",
   "zh": "工具不足响应",
   "level": "l3"
  },
  "CAP_83b67e02": {
   "en": "Parameter Binding and Inference",
   "zh": "参数绑定与推断",
   "level": "l3"
  },
  "CAP_c947f927": {
   "en": "Parameter Completeness Check",
   "zh": "参数完整性检查",
   "level": "l3"
  },
  "CAP_95d80c21": {
   "en": "Parameter Clarification Request",
   "zh": "参数澄清请求",
   "level": "l3"
  },
  "CAP_fcc1b8e1": {
   "en": "Plan Static Validation",
   "zh": "计划静态验证",
   "level": "l3"
  },
  "CAP_a099b54e": {
   "en": "Invocation and Status Detection",
   "zh": "初始调用与状态检测",
   "level": "l2"
  },
  "CAP_c3a72da0": {
   "en": "Assessment and Reflection",
   "zh": "评估与反思",
   "level": "l2"
  },
  "CAP_ee911e94": {
   "en": "Revision and Retry",
   "zh": "修正与重试",
   "level": "l2"
  },
  "CAP_7ac53af8": {
   "en": "Error Classification and Detection",
   "zh": "错误分类与检测",
   "level": "l3"
  },
  "CAP_c04f57f0": {
   "en": "Result Quality Evaluation",
   "zh": "结果质量评估",
   "level": "l3"
  },
  "CAP_1ce9795a": {
   "en": "Reflexive Root Cause Analysis",
   "zh": "反思性根因分析",
   "level": "l3"
  },
  "CAP_b6bb70d1": {
   "en": "Adaptive Parameter Revision",
   "zh": "自适应参数修订",
   "level": "l3"
  },
  "CAP_47cadc5d": {
   "en": "Retry Strategy Orchestration",
   "zh": "重试策略编排",
   "level": "l3"
  },
  "CAP_a5c3855c": {
   "en": "Closed-Loop Context Updating",
   "zh": "闭环上下文更新",
   "level": "l3"
  },
  "CAP_8a365c8f": {
   "en": "Error Response Delivery",
   "zh": "错误响应返回",
   "level": "l3"
  },
  "CAP_1f4e97f3": {
   "en": "Embodied Instruction and Tool Discovery",
   "zh": "具身指令解析与工具发现",
   "level": "l2"
  },
  "CAP_e758764b": {
   "en": "Embodied Instruction Parsing",
   "zh": "具身指令解析",
   "level": "l3"
  },
  "CAP_ecf52ef8": {
   "en": "Embodied Tool Discovery",
   "zh": "具身工具发现",
   "level": "l3"
  },
  "CAP_047fc0c9": {
   "en": "Embodied Parameter Inference and Safety Validation",
   "zh": "具身参数推断与安全验证",
   "level": "l2"
  },
  "CAP_0bca61fe": {
   "en": "Embodied Parameter Inference",
   "zh": "具身参数推断",
   "level": "l3"
  },
  "CAP_1ddff274": {
   "en": "Embodied Safety Validation",
   "zh": "具身安全验证",
   "level": "l3"
  },
  "CAP_b05f9ea0": {
   "en": "Embodied Tool Invocation and Execution",
   "zh": "具身工具调用与执行监控",
   "level": "l2"
  },
  "CAP_24243ab6": {
   "en": "Embodied Tool Invocation",
   "zh": "具身工具调用",
   "level": "l3"
  },
  "CAP_1de06c62": {
   "en": "Embodied Result Integration and Chaining",
   "zh": "具身结果整合与工具链编排",
   "level": "l2"
  },
  "CAP_d9916350": {
   "en": "Embodied Result Integration",
   "zh": "具身多模态结果整合",
   "level": "l3"
  },
  "CAP_81285fe5": {
   "en": "Embodied Tool Chaining",
   "zh": "具身工具链编排",
   "level": "l3"
  },
  "CAP_a48a4acf": {
   "en": "Offline Tool Indexing",
   "zh": "离线工具索引构建",
   "level": "l2"
  },
  "CAP_30da46b7": {
   "en": "Online Semantic Tool Retrieval",
   "zh": "在线语义工具检索",
   "level": "l2"
  },
  "CAP_93408311": {
   "en": "Tool Metadata Indexing",
   "zh": "工具元数据索引构建",
   "level": "l3"
  },
  "CAP_b7e388d0": {
   "en": "Semantic Tool Search",
   "zh": "语义工具检索",
   "level": "l3"
  },
  "CAP_21bd1c1b": {
   "en": "Hybrid Search Fallback",
   "zh": "混合检索降级",
   "level": "l3"
  },
  "CAP_bef3f13c": {
   "en": "Multilingual Tool Description Alignment",
   "zh": "多语言工具描述对齐",
   "level": "l3"
  },
  "CAP_06c61eeb": {
   "en": "Dynamic Tool Synthesis via Code Generation",
   "zh": "基于代码生成的动态工具合成",
   "level": "l2"
  },
  "CAP_6d21fd7b": {
   "en": "Annotation Scanning",
   "zh": "注解扫描",
   "level": "l3"
  },
  "CAP_09d2b484": {
   "en": "Schema Generation",
   "zh": "Schema 生成",
   "level": "l3"
  },
  "CAP_c080fdaf": {
   "en": "Dynamic Registration",
   "zh": "动态注册",
   "level": "l3"
  },
  "CAP_f83ed97d": {
   "en": "Invocation Routing",
   "zh": "调用路由",
   "level": "l3"
  },
  "CAP_caf64f25": {
   "en": "Spatial Perception and Primitive Extraction",
   "zh": "空间感知与基元提取",
   "level": "l2"
  },
  "CAP_a9b71438": {
   "en": "Dynamic Tool Registration",
   "zh": "动态工具注册",
   "level": "l2"
  },
  "CAP_54a2afda": {
   "en": "Spatial Primitive Extraction",
   "zh": "空间基元提取",
   "level": "l3"
  },
  "CAP_1aed56be": {
   "en": "Multimodal Affordance Inference",
   "zh": "多模态可供性推理",
   "level": "l3"
  },
  "CAP_0782741a": {
   "en": "Dynamic Physical Tool Registration",
   "zh": "动态物理工具注册",
   "level": "l3"
  },
  "CAP_a9d1198a": {
   "en": "Context Aware Tool Discovery",
   "zh": "上下文感知工具发现",
   "level": "l3"
  },
  "CAP_f2b42453": {
   "en": "Semantic Abstraction and Tool Generation",
   "zh": "语义抽象与工具生成",
   "level": "l2"
  },
  "CAP_27ee07d1": {
   "en": "Execution Adaptation and State Management",
   "zh": "执行适配与状态管理",
   "level": "l2"
  },
  "CAP_4e2d1edf": {
   "en": "Error Handling and Response Generation",
   "zh": "错误处理与响应生成",
   "level": "l2"
  },
  "CAP_71eb2fc3": {
   "en": "Semantic Primitive Extraction",
   "zh": "语义原语提取",
   "level": "l3"
  },
  "CAP_0d83bb06": {
   "en": "MCP Tool Schema Generator",
   "zh": "MCP 工具描述生成器",
   "level": "l3"
  },
  "CAP_a828a24a": {
   "en": "Parameter Mapper",
   "zh": "参数映射器",
   "level": "l3"
  },
  "CAP_ab2cbaaa": {
   "en": "ROS2 Action Adapter",
   "zh": "ROS2 动作适配器",
   "level": "l3"
  },
  "CAP_607d1af0": {
   "en": "Execution State Machine",
   "zh": "执行状态机",
   "level": "l3"
  },
  "CAP_0fe4fb2e": {
   "en": "Execution Outcome Assessment",
   "zh": "执行结果评估",
   "level": "l3"
  },
  "CAP_3c230470": {
   "en": "MCP Response Builder",
   "zh": "MCP 响应构建器",
   "level": "l3"
  },
  "CAP_2ea2c67f": {
   "en": "Simulation Environment Control",
   "zh": "仿真环境控制",
   "level": "l2"
  },
  "CAP_1d44b31b": {
   "en": "Simulation Lifecycle Management",
   "zh": "仿真生命周期管理",
   "level": "l3"
  },
  "CAP_69c5df91": {
   "en": "Physics Action Control",
   "zh": "物理动作控制",
   "level": "l2"
  },
  "CAP_79bfc6ab": {
   "en": "Constrained Physics Action",
   "zh": "受限物理动作执行",
   "level": "l3"
  },
  "CAP_aae297a6": {
   "en": "Spatial Perception and Query",
   "zh": "空间感知与查询",
   "level": "l2"
  },
  "CAP_fcdd953d": {
   "en": "Spatial Reasoning Query",
   "zh": "空间推理查询",
   "level": "l3"
  },
  "CAP_82ff6b4b": {
   "en": "Simulated Perception Fetch",
   "zh": "仿真感知数据获取",
   "level": "l3"
  },
  "CAP_88bd13ec": {
   "en": "Closed-Loop Simulation Control",
   "zh": "闭环仿真控制",
   "level": "l2"
  },
  "CAP_0a265abd": {
   "en": "Closed-Loop Stepping",
   "zh": "闭环仿真步进",
   "level": "l3"
  },
  "CAP_e0fbc8ba": {
   "en": "Embodied Capability Discovery",
   "zh": "具身能力发现",
   "level": "l2"
  },
  "CAP_4821279d": {
   "en": "ROS2 MCP Adaptation",
   "zh": "ROS2 MCP适配",
   "level": "l2"
  },
  "CAP_817ab6b1": {
   "en": "Embodied Safety Gate",
   "zh": "具身安全网关",
   "level": "l2"
  },
  "CAP_375eb068": {
   "en": "Transport Adaptation",
   "zh": "传输适配",
   "level": "l2"
  },
  "CAP_aa00677c": {
   "en": "ROS2 Action to MCP Tool",
   "zh": "ROS2动作到MCP工具封装",
   "level": "l3"
  },
  "CAP_3167ca01": {
   "en": "Safety Critical Tool Wrapper",
   "zh": "安全临界工具封装",
   "level": "l3"
  },
  "CAP_8c87ffc1": {
   "en": "Embodied Resource Lock",
   "zh": "具身资源锁",
   "level": "l3"
  },
  "CAP_f016102e": {
   "en": "Sensor Stream MCP Adapter",
   "zh": "传感器流MCP适配器",
   "level": "l3"
  },
  "CAP_e66113f8": {
   "en": "Tool Invocation Dispatch",
   "zh": "工具调用分派",
   "level": "l3"
  },
  "CAP_610f31b7": {
   "en": "MCP Transport Layer",
   "zh": "MCP 传输层",
   "level": "l2"
  },
  "CAP_1849cb0b": {
   "en": "Stdio Command Dispatch",
   "zh": "stdio 指令分发",
   "level": "l3"
  },
  "CAP_a2650da4": {
   "en": "SSE Event Streaming",
   "zh": "SSE 事件流推送",
   "level": "l3"
  },
  "CAP_62e915a1": {
   "en": "Transport Heartbeat Monitor",
   "zh": "传输层心跳监控",
   "level": "l3"
  },
  "CAP_282a67e2": {
   "en": "Idempotent Delivery",
   "zh": "幂等投递",
   "level": "l3"
  },
  "CAP_acb535e0": {
   "en": "Dynamic Picking Perception",
   "zh": "动态抓取感知",
   "level": "l3"
  },
  "CAP_e7a012a1": {
   "en": "Dynamic Picking Planning",
   "zh": "动态抓取规划",
   "level": "l2"
  },
  "CAP_9dc0824a": {
   "en": "Dynamic Picking Execution",
   "zh": "动态抓取执行",
   "level": "l2"
  },
  "CAP_2e782eeb": {
   "en": "Dynamic Picking Error Recovery",
   "zh": "动态抓取异常恢复",
   "level": "l2"
  },
  "CAP_fdffca76": {
   "en": "SSE Object Pose Streaming",
   "zh": "SSE物体位姿流推送",
   "level": "l3"
  },
  "CAP_a6bc22dd": {
   "en": "Stdio Grasp Planning",
   "zh": "Stdio抓取规划",
   "level": "l3"
  },
  "CAP_b878cad0": {
   "en": "SSE Realtime Control Command",
   "zh": "SSE实时控制指令流",
   "level": "l3"
  },
  "CAP_5fe72e26": {
   "en": "Stdio Gripper Activation",
   "zh": "Stdio夹爪激活",
   "level": "l3"
  },
  "CAP_07b3aa59": {
   "en": "SSE Error Event Notification",
   "zh": "SSE异常事件通知",
   "level": "l3"
  },
  "CAP_d8c88d6b": {
   "en": "Stdio Transport Establishment",
   "zh": "stdio 传输通道建立",
   "level": "l3"
  },
  "CAP_8b1a1c41": {
   "en": "HTTP SSE Transport Establishment",
   "zh": "HTTP SSE 传输通道建立",
   "level": "l3"
  },
  "CAP_f8454622": {
   "en": "JSON-RPC Message Framing",
   "zh": "JSON-RPC 消息成帧",
   "level": "l3"
  },
  "CAP_cc29d4c9": {
   "en": "Transport Session Management",
   "zh": "传输会话管理",
   "level": "l3"
  },
  "CAP_efd233d3": {
   "en": "Negotiated Contract Versioning",
   "zh": "协商契约版本管理",
   "level": "l1"
  },
  "CAP_74fd6cac": {
   "en": "Protocol Version Negotiation",
   "zh": "协议版本协商",
   "level": "l3"
  },
  "CAP_d7d7e0b2": {
   "en": "Session Protocol Contract Enforcement",
   "zh": "会话协议契约执行",
   "level": "l3"
  },
  "CAP_21be005b": {
   "en": "Versioned Capability Declaration",
   "zh": "版本化能力声明",
   "level": "l3"
  },
  "CAP_866bf842": {
   "en": "Semantic Adaptation Engine",
   "zh": "语义适配引擎",
   "level": "l1"
  },
  "CAP_3890ad01": {
   "en": "Version Capability Matrix",
   "zh": "版本能力矩阵",
   "level": "l3"
  },
  "CAP_f13bf526": {
   "en": "Semantic Schema Diff",
   "zh": "语义模式差异检测",
   "level": "l3"
  },
  "CAP_1132d99a": {
   "en": "Adaptation Strategy Selection",
   "zh": "适配策略选择",
   "level": "l3"
  },
  "CAP_eeae3d71": {
   "en": "Adaptive Request Transform",
   "zh": "自适应请求转换",
   "level": "l3"
  },
  "CAP_f221a617": {
   "en": "Degradation Fallback Chain",
   "zh": "降级回退链",
   "level": "l2"
  },
  "CAP_e5ed7259": {
   "en": "Response Schema Adapter",
   "zh": "响应模式适配器",
   "level": "l3"
  },
  "CAP_9271b5d7": {
   "en": "Version Change Detection and Test Preparation",
   "zh": "版本变更检测与测试准备",
   "level": "l1"
  },
  "CAP_0bdaa031": {
   "en": "Automated Regression Test Execution",
   "zh": "自动化回归测试执行",
   "level": "l2"
  },
  "CAP_3c173747": {
   "en": "Compatibility Analysis and Upgrade Decision",
   "zh": "兼容性分析与升级决策",
   "level": "l2"
  },
  "CAP_44185063": {
   "en": "Version Diff Analysis",
   "zh": "版本差异分析",
   "level": "l3"
  },
  "CAP_66c0d332": {
   "en": "Compatibility Oracle",
   "zh": "兼容性预言机",
   "level": "l3"
  },
  "CAP_c6ffd588": {
   "en": "Agentic Test Generation",
   "zh": "代理式测试生成",
   "level": "l3"
  },
  "CAP_9aaf1360": {
   "en": "Automated Test Execution",
   "zh": "自动化测试执行",
   "level": "l3"
  },
  "CAP_3650a382": {
   "en": "Upgrade Decision Engine",
   "zh": "升级决策引擎",
   "level": "l3"
  },
  "CAP_8ca66a76": {
   "en": "Version Detection Phase",
   "zh": "版本检测阶段",
   "level": "l2"
  },
  "CAP_e173aecd": {
   "en": "Test Generation Phase",
   "zh": "回归测试生成阶段",
   "level": "l2"
  },
  "CAP_7a3c1f5f": {
   "en": "Test Execution Phase",
   "zh": "自动化测试执行阶段",
   "level": "l2"
  },
  "CAP_222e0b6c": {
   "en": "Upgrade Decision Phase",
   "zh": "升级决策阶段",
   "level": "l2"
  },
  "CAP_d4c105f0": {
   "en": "End-to-End Differentiable Planning Data Pipeline",
   "zh": "端到端可微规划数据管道",
   "level": "l2"
  },
  "CAP_cb0d9ca3": {
   "en": "Differentiable Policy Optimization",
   "zh": "可微策略优化",
   "level": "l2"
  },
  "CAP_0ece367a": {
   "en": "Differentiable Planning Unrolling",
   "zh": "可微规划展开",
   "level": "l2"
  },
  "CAP_3cf6ecd7": {
   "en": "Differentiable Environment Interaction",
   "zh": "可微环境交互",
   "level": "l3"
  },
  "CAP_5edaa49c": {
   "en": "Differentiable State Encoding",
   "zh": "可微状态编码",
   "level": "l3"
  },
  "CAP_607da089": {
   "en": "Diff Policy Gradient Optimization",
   "zh": "可微策略梯度优化",
   "level": "l3"
  },
  "CAP_9ae32938": {
   "en": "Diff Value Iteration Network",
   "zh": "可微值迭代网络",
   "level": "l3"
  },
  "CAP_6c8a530d": {
   "en": "Diff Model Predictive Control",
   "zh": "可微模型预测控制",
   "level": "l3"
  },
  "CAP_6e214d9e": {
   "en": "Diff Imitation Learning",
   "zh": "可微模仿学习",
   "level": "l3"
  },
  "CAP_dac36d10": {
   "en": "Diff End-to-End Robotic Manipulation",
   "zh": "可微端到端机器人操作",
   "level": "l3"
  },
  "CAP_3ce5c0ce": {
   "en": "Latent Perception and Encoding",
   "zh": "潜在感知与编码",
   "level": "l2"
  },
  "CAP_04af329e": {
   "en": "Latent World Model Learning",
   "zh": "潜在世界模型学习",
   "level": "l2"
  },
  "CAP_a589ce79": {
   "en": "Latent Policy Learning",
   "zh": "潜在策略学习",
   "level": "l2"
  },
  "CAP_c65dae6a": {
   "en": "Multimodal Perception and Instruction Parsing",
   "zh": "多模态感知与指令解析",
   "level": "l2"
  },
  "CAP_2cb13207": {
   "en": "Hierarchical Task Planning and Decomposition",
   "zh": "分层任务规划与分解",
   "level": "l2"
  },
  "CAP_b5f44356": {
   "en": "Feasibility Grounding and Replanning",
   "zh": "可行性接地与重规划",
   "level": "l2"
  },
  "CAP_1d27468b": {
   "en": "Skill Scheduling and Execution",
   "zh": "技能调度与执行",
   "level": "l2"
  },
  "CAP_40b853b9": {
   "en": "VLM State Encoding",
   "zh": "VLM状态编码",
   "level": "l3"
  },
  "CAP_bf53982f": {
   "en": "Skill Policy Dispatch",
   "zh": "技能策略调度",
   "level": "l3"
  },
  "CAP_9cff5ca4": {
   "en": "Offline Dynamics Modeling",
   "zh": "离线动力学建模",
   "level": "l2"
  },
  "CAP_2d5820d8": {
   "en": "Online Perception and Estimation",
   "zh": "在线感知与估计",
   "level": "l2"
  },
  "CAP_a04bf8cc": {
   "en": "Robust Control and Torque Allocation",
   "zh": "鲁棒控制与力矩分配",
   "level": "l2"
  },
  "CAP_4ed1774b": {
   "en": "Dynamics Modeling and Parameter Identification",
   "zh": "动力学建模与参数辨识",
   "level": "l3"
  },
  "CAP_cb58e452": {
   "en": "State Estimation for Mecanum Chassis",
   "zh": "麦克纳姆底盘状态估计",
   "level": "l3"
  },
  "CAP_6beb9ab1": {
   "en": "Extended State Observer for Disturbance Estimation",
   "zh": "扩张状态观测器扰动估计",
   "level": "l3"
  },
  "CAP_9379c544": {
   "en": "Robust Sliding Mode Tracking Controller",
   "zh": "鲁棒滑模跟踪控制器",
   "level": "l3"
  },
  "CAP_464b6b53": {
   "en": "Constrained Torque Allocation Optimization",
   "zh": "约束力矩分配优化",
   "level": "l3"
  },
  "CAP_d760269f": {
   "en": "Perception and Preprocessing",
   "zh": "感知与预处理",
   "level": "l2"
  },
  "CAP_a57d5a1b": {
   "en": "State Estimation and Mapping",
   "zh": "状态估计与定位建图",
   "level": "l2"
  },
  "CAP_10b141e4": {
   "en": "Environment Modeling and Path Planning",
   "zh": "环境建模与路径规划",
   "level": "l2"
  },
  "CAP_8331af9e": {
   "en": "Execution and Safety Monitoring",
   "zh": "执行与安全监控",
   "level": "l2"
  },
  "CAP_9494bddc": {
   "en": "Multi-sensor Fusion Odometry",
   "zh": "多传感器融合里程计",
   "level": "l3"
  },
  "CAP_d988b5ed": {
   "en": "Layered Costmap Generation",
   "zh": "分层代价地图生成",
   "level": "l3"
  },
  "CAP_78d66a2d": {
   "en": "Holonomic Local Planning",
   "zh": "全向局部规划",
   "level": "l3"
  },
  "CAP_8d711a6c": {
   "en": "Dynamic Obstacle Prediction",
   "zh": "动态障碍物预测",
   "level": "l3"
  },
  "CAP_2e66c441": {
   "en": "Trajectory Generation and Reference Planning",
   "zh": "轨迹生成与参考规划",
   "level": "l2"
  },
  "CAP_f0f2a39d": {
   "en": "Multi-sensor Fusion and Autonomous Navigation",
   "zh": "多传感器融合与自主导航",
   "level": "l2"
  },
  "CAP_975c6922": {
   "en": "Memory Retrieval and Adaptation",
   "zh": "记忆检索与适应",
   "level": "l2"
  },
  "CAP_191866d9": {
   "en": "Policy Update and Memory Management",
   "zh": "策略更新与记忆管理",
   "level": "l2"
  },
  "CAP_78b81604": {
   "en": "Episodic Encoding and Write",
   "zh": "情景编码与写入",
   "level": "l3"
  },
  "CAP_877fd288": {
   "en": "Context Based Memory Retrieval",
   "zh": "基于上下文的记忆检索",
   "level": "l3"
  },
  "CAP_d814dc9a": {
   "en": "Memory Guided Policy Adaptation",
   "zh": "记忆引导的策略适应",
   "level": "l3"
  },
  "CAP_e7d6fb30": {
   "en": "Surprise Based Memory Write Control",
   "zh": "基于惊讶度的记忆写入控制",
   "level": "l3"
  },
  "CAP_c447fd89": {
   "en": "Meta Policy Update",
   "zh": "元策略更新",
   "level": "l3"
  },
  "CAP_aac83290": {
   "en": "Semantic Perception And Memory",
   "zh": "语义感知与记忆",
   "level": "l2"
  },
  "CAP_0d3983d8": {
   "en": "Memory Retrieval And Decision",
   "zh": "记忆检索与决策",
   "level": "l2"
  },
  "CAP_de76bd3e": {
   "en": "Memory Consolidation And Adaptation",
   "zh": "记忆巩固与适应",
   "level": "l2"
  },
  "CAP_c4388859": {
   "en": "Semantic Perception Encoding",
   "zh": "语义感知编码",
   "level": "l3"
  },
  "CAP_1aaf4905": {
   "en": "Semantic Spatial Memory Write",
   "zh": "语义空间记忆写入",
   "level": "l3"
  },
  "CAP_1efc936a": {
   "en": "Memory Augmented Goal Navigation",
   "zh": "记忆增强目标导航",
   "level": "l3"
  },
  "CAP_47adc87c": {
   "en": "Cross Episode Memory Recall",
   "zh": "跨情节记忆回忆",
   "level": "l3"
  },
  "CAP_0938c409": {
   "en": "Spatial Memory Consolidation",
   "zh": "空间记忆巩固",
   "level": "l3"
  },
  "CAP_262eb54c": {
   "en": "Semantic Relational Reasoning",
   "zh": "语义关系推理",
   "level": "l3"
  },
  "CAP_4ae36225": {
   "en": "Episodic Memory Skill Learning",
   "zh": "基于情景记忆的技能学习",
   "level": "l2"
  },
  "CAP_8b0b3318": {
   "en": "Feature Encoding for Memory-based VOS",
   "zh": "记忆式VOS特征编码",
   "level": "l2"
  },
  "CAP_c88be7f7": {
   "en": "Memory Bank Management for VOS",
   "zh": "VOS记忆库管理",
   "level": "l3"
  },
  "CAP_6c5593fa": {
   "en": "Spatio-Temporal Dense Matching",
   "zh": "时空密集匹配",
   "level": "l2"
  },
  "CAP_cb9c7b85": {
   "en": "Mask Decoding and Prediction",
   "zh": "掩码解码与预测",
   "level": "l3"
  },
  "CAP_9b1f0572": {
   "en": "Key Encoding for Appearance Matching",
   "zh": "外观匹配的键编码",
   "level": "l3"
  },
  "CAP_25f77d76": {
   "en": "Value Encoding with Mask",
   "zh": "带掩码的值编码",
   "level": "l3"
  },
  "CAP_b9a78f84": {
   "en": "Dynamic Memory Bank Management",
   "zh": "动态记忆库管理",
   "level": "l3"
  },
  "CAP_be1b8d32": {
   "en": "Appearance-Based Spatio-Temporal Matching",
   "zh": "基于外观的时空匹配",
   "level": "l3"
  },
  "CAP_13357741": {
   "en": "Contrastive Learning for Correspondence",
   "zh": "对应关系的对比学习",
   "level": "l3"
  },
  "CAP_fd94a3e7": {
   "en": "Mask Decoding from Aggregated Features",
   "zh": "聚合特征掩码解码",
   "level": "l3"
  },
  "CAP_afde97c1": {
   "en": "Decoupled Memory VOS",
   "zh": "像素-实例解耦记忆视频物体分割",
   "level": "l3"
  },
  "CAP_e26c6a62": {
   "en": "Multi-Scale Feature Encoding",
   "zh": "多尺度特征编码",
   "level": "l3"
  },
  "CAP_1a2aab6f": {
   "en": "Instance Query Generation",
   "zh": "实例查询生成",
   "level": "l3"
  },
  "CAP_fb8b1b1b": {
   "en": "Cross-Attention Instance Matching",
   "zh": "交叉注意力实例匹配",
   "level": "l3"
  },
  "CAP_6438e624": {
   "en": "Spatial-Temporal Memory Read",
   "zh": "时空记忆读取",
   "level": "l3"
  },
  "CAP_88404880": {
   "en": "Confidence-Gated Memory Update",
   "zh": "置信度门控记忆更新",
   "level": "l3"
  },
  "CAP_8c19073c": {
   "en": "Mask Decoding for CUTIE",
   "zh": "CUTIE 掩码解码",
   "level": "l3"
  },
  "CAP_92084f97": {
   "en": "First-Frame Initialization",
   "zh": "首帧初始化",
   "level": "l2"
  },
  "CAP_0bf84b71": {
   "en": "Online Inference and Adaptation",
   "zh": "在线推理与自适应",
   "level": "l2"
  },
  "CAP_e007ece3": {
   "en": "Confidence-Based Tuning Trigger",
   "zh": "基于置信度的微调触发",
   "level": "l3"
  },
  "CAP_655f5436": {
   "en": "Online Memory Adaptation",
   "zh": "在线记忆自适应",
   "level": "l3"
  },
  "CAP_4cc78a81": {
   "en": "Anchor-Based Anti-Drifting",
   "zh": "基于锚点的防漂移",
   "level": "l3"
  },
  "CAP_6d677c17": {
   "en": "Lightweight Adapter Tuning",
   "zh": "轻量级适配器微调",
   "level": "l3"
  },
  "CAP_bfe683bc": {
   "en": "Topology-Semantic Metric Extraction",
   "zh": "拓扑-语义度量提取",
   "level": "l2"
  },
  "CAP_b6681b1b": {
   "en": "Topology-Semantic Joint Scoring and Repair",
   "zh": "拓扑-语义联合评分与修复",
   "level": "l2"
  },
  "CAP_1a2bc7c1": {
   "en": "Consolidation Decision and Execution",
   "zh": "巩固决策与策略执行",
   "level": "l2"
  },
  "CAP_7808d641": {
   "en": "Post-Consolidation Verification",
   "zh": "巩固后验证",
   "level": "l2"
  },
  "CAP_0b4c39df": {
   "en": "Topology Extraction",
   "zh": "拓扑结构提取",
   "level": "l3"
  },
  "CAP_c7ce8f1f": {
   "en": "Topo-Semantic Joint Scoring",
   "zh": "拓扑-语义联合评分",
   "level": "l3"
  },
  "CAP_af5cbb9f": {
   "en": "Topo-Semantic Inconsistency Detection",
   "zh": "拓扑-语义不一致检测",
   "level": "l3"
  },
  "CAP_061aed02": {
   "en": "Topology Repair",
   "zh": "拓扑修复",
   "level": "l3"
  },
  "CAP_9e5849f5": {
   "en": "Consolidation Triggering",
   "zh": "巩固触发决策",
   "level": "l3"
  },
  "CAP_5cbbe18f": {
   "en": "Consolidation Strategy Selection",
   "zh": "巩固策略选择",
   "level": "l3"
  },
  "CAP_e5fcf304": {
   "en": "Consolidation Verification",
   "zh": "巩固后验证",
   "level": "l3"
  },
  "CAP_a5c6647e": {
   "en": "Trajectory Segmentation and Candidate Extraction",
   "zh": "轨迹分割与候选提取",
   "level": "l2"
  },
  "CAP_47b55aca": {
   "en": "Action Abstraction and Template Generation",
   "zh": "动作抽象与模板生成",
   "level": "l2"
  },
  "CAP_613f2eb9": {
   "en": "Skill Indexing and Storage",
   "zh": "技能索引与存储",
   "level": "l2"
  },
  "CAP_bb62abe5": {
   "en": "Skill Merge",
   "zh": "技能合并",
   "level": "l3"
  },
  "CAP_f26473b5": {
   "en": "Skill Trigger and Execution",
   "zh": "触发与执行",
   "level": "l2"
  },
  "CAP_5470eeb4": {
   "en": "Skill Trigger",
   "zh": "技能触发",
   "level": "l3"
  },
  "CAP_17db1180": {
   "en": "Physics Episode Extraction",
   "zh": "物理经验片段提取",
   "level": "l2"
  },
  "CAP_590591be": {
   "en": "Physics Episode Detection",
   "zh": "物理经验片段检测",
   "level": "l3"
  },
  "CAP_3f265f93": {
   "en": "Generative World Model Training",
   "zh": "生成式世界模型训练",
   "level": "l3"
  },
  "CAP_1875891b": {
   "en": "Latent Physics Consistency",
   "zh": "潜空间物理一致性约束",
   "level": "l2"
  },
  "CAP_106a6596": {
   "en": "Latent Physics Regularization",
   "zh": "潜空间物理正则化",
   "level": "l3"
  },
  "CAP_293cefdf": {
   "en": "Imaginative Rehearsal",
   "zh": "想象性巩固演练",
   "level": "l2"
  },
  "CAP_4ca75ba0": {
   "en": "Imaginative Rehearsal Generation",
   "zh": "想象性演练生成",
   "level": "l3"
  },
  "CAP_180f7921": {
   "en": "Physics Intuition Assessment",
   "zh": "物理直觉验证与索引更新",
   "level": "l2"
  },
  "CAP_5f7743ee": {
   "en": "Physics Intuition Verification",
   "zh": "物理直觉验证",
   "level": "l3"
  },
  "CAP_f52490e8": {
   "en": "Lifelong Skill Memory Management",
   "zh": "终身技能记忆管理",
   "level": "l2"
  },
  "CAP_05f0d7a0": {
   "en": "Skill Memory Encoding",
   "zh": "技能记忆编码",
   "level": "l3"
  },
  "CAP_c66bb571": {
   "en": "Skill Value Assessment",
   "zh": "技能价值评估",
   "level": "l3"
  },
  "CAP_2390355a": {
   "en": "Safety Skill Protection",
   "zh": "安全技能保护",
   "level": "l3"
  },
  "CAP_6f222c71": {
   "en": "Memory Capacity Monitoring",
   "zh": "记忆容量监控",
   "level": "l3"
  },
  "CAP_4add70fa": {
   "en": "Selective Forgetting Execution",
   "zh": "选择性遗忘执行",
   "level": "l3"
  },
  "CAP_65b71272": {
   "en": "Skill Memory Compression",
   "zh": "技能记忆压缩",
   "level": "l3"
  },
  "CAP_a2090a38": {
   "en": "Memory Index Optimization",
   "zh": "记忆索引优化",
   "level": "l3"
  },
  "CAP_9d60e30e": {
   "en": "Parameter Importance Estimation",
   "zh": "参数重要性估计",
   "level": "l2"
  },
  "CAP_7c3db2e8": {
   "en": "Regularized Forgetting Constraint Construction",
   "zh": "正则化遗忘约束构建",
   "level": "l2"
  },
  "CAP_f94bb7c3": {
   "en": "Elastic Joint Optimization and Persistence",
   "zh": "弹性联合优化与持久化",
   "level": "l2"
  },
  "CAP_a9f7db4d": {
   "en": "Fisher Estimation Mode Selection",
   "zh": "Fisher 估计模式选择",
   "level": "l3"
  },
  "CAP_5cfa0f70": {
   "en": "Online Fisher Importance Update",
   "zh": "在线 Fisher 重要性更新",
   "level": "l3"
  },
  "CAP_5919dc79": {
   "en": "Importance Registry Management",
   "zh": "重要性注册表管理",
   "level": "l3"
  },
  "CAP_75e73e56": {
   "en": "Temporal Importance Decay",
   "zh": "时间衰减遗忘调度",
   "level": "l3"
  },
  "CAP_7bea74dd": {
   "en": "EWC Regularization Term Construction",
   "zh": "EWC 正则化项构建",
   "level": "l3"
  },
  "CAP_32f27769": {
   "en": "EWC Regularized Optimization",
   "zh": "EWC 正则化优化",
   "level": "l3"
  },
  "CAP_dcd9435d": {
   "en": "Elastic Memory Checkpoint",
   "zh": "弹性记忆检查点",
   "level": "l3"
  },
  "CAP_9fdcf4eb": {
   "en": "Memory Candidate Selection",
   "zh": "记忆候选集筛选",
   "level": "l3"
  },
  "CAP_001284f9": {
   "en": "Imagination-based Utility Assessment",
   "zh": "基于想象的效用评估",
   "level": "l2"
  },
  "CAP_0bc0543f": {
   "en": "Forgetting Decision and Execution",
   "zh": "遗忘决策与执行",
   "level": "l2"
  },
  "CAP_49cc40fa": {
   "en": "Memory Candidate Prefiltering",
   "zh": "记忆候选集初筛",
   "level": "l3"
  },
  "CAP_c3f30856": {
   "en": "World Model Conditioning",
   "zh": "世界模型条件化",
   "level": "l3"
  },
  "CAP_ec625a9b": {
   "en": "Imagined Trajectory Rollout",
   "zh": "想象轨迹生成",
   "level": "l3"
  },
  "CAP_c3785c82": {
   "en": "Information Gain Forgetting Gate",
   "zh": "信息增益遗忘门控",
   "level": "l3"
  },
  "CAP_397d1271": {
   "en": "Counterfactual Memory Valuation",
   "zh": "反事实记忆价值评估",
   "level": "l3"
  },
  "CAP_f39ff579": {
   "en": "Dream-based Memory Compression",
   "zh": "基于梦境的记忆压缩",
   "level": "l3"
  },
  "CAP_c99ce915": {
   "en": "Forgetting Decision Execution",
   "zh": "遗忘决策执行",
   "level": "l3"
  },
  "CAP_9fa489a4": {
   "en": "Temporal Forgetting and Persistence",
   "zh": "时间遗忘与持久化",
   "level": "l2"
  },
  "CAP_b4cd032f": {
   "en": "Skill Memory Storage",
   "zh": "技能记忆存储",
   "level": "l3"
  },
  "CAP_4b2133d2": {
   "en": "Task Context Analysis",
   "zh": "任务上下文分析",
   "level": "l3"
  },
  "CAP_8feff946": {
   "en": "EWC Parameter Regularization Forgetting",
   "zh": "基于EWC参数正则化的自适应遗忘",
   "level": "l2"
  },
  "CAP_94abd944": {
   "en": "Skill Memory Encoding and Storage",
   "zh": "技能记忆编码与存储",
   "level": "l2"
  },
  "CAP_751a53f4": {
   "en": "Memory Maintenance and Optimization",
   "zh": "记忆库优化维护",
   "level": "l2"
  },
  "CAP_6bd47cf3": {
   "en": "EWC Regularization and Optimization",
   "zh": "EWC正则化与优化",
   "level": "l2"
  },
  "CAP_cae525b0": {
   "en": "Memory Value Assessment",
   "zh": "记忆价值评估",
   "level": "l2"
  },
  "CAP_61a1aac6": {
   "en": "Memory Optimization and Maintenance",
   "zh": "记忆库优化维护",
   "level": "l2"
  },
  "CAP_fae63475": {
   "en": "Structured Skill Memory Persistence",
   "zh": "结构化技能记忆持久化",
   "level": "l3"
  },
  "CAP_a5dc4a77": {
   "en": "Skill Context Analysis",
   "zh": "技能上下文分析",
   "level": "l3"
  },
  "CAP_26a13e4b": {
   "en": "Memory Candidate Selection and Conditioning",
   "zh": "记忆候选集选取与条件化",
   "level": "l2"
  },
  "CAP_2a8f15d6": {
   "en": "World Model Imagination and Utility Assessment",
   "zh": "世界模型想象与效用评估",
   "level": "l2"
  },
  "CAP_23a03c67": {
   "en": "Memory Pool State Encoding and Skill Indexing",
   "zh": "内存池状态编码与技能索引",
   "level": "l2"
  },
  "CAP_522050e7": {
   "en": "Semantic Skill Retrieval and Replay",
   "zh": "语义检索与技能回放",
   "level": "l2"
  },
  "CAP_04a9dc6b": {
   "en": "Feedback Loop and Skill Library Update",
   "zh": "反馈闭环与技能库更新",
   "level": "l2"
  },
  "CAP_64859680": {
   "en": "Memory Pool State Vectorization",
   "zh": "内存池状态向量化",
   "level": "l3"
  },
  "CAP_3f254fbe": {
   "en": "Skill Index Maintenance",
   "zh": "技能索引维护",
   "level": "l3"
  },
  "CAP_eaa0c12c": {
   "en": "Skill Retrieval with Decay",
   "zh": "带时间衰减的技能检索",
   "level": "l3"
  },
  "CAP_ef4102c0": {
   "en": "Skill Adaptation and Replay",
   "zh": "技能适配与回放",
   "level": "l3"
  },
  "CAP_04a3d28e": {
   "en": "Experience Collection Phase",
   "zh": "经验采集阶段",
   "level": "l2"
  },
  "CAP_9696f174": {
   "en": "Generative Model Training Phase",
   "zh": "生成模型训练阶段",
   "level": "l2"
  },
  "CAP_e89446b7": {
   "en": "Experience Replay Generation Phase",
   "zh": "经验回放生成阶段",
   "level": "l2"
  },
  "CAP_0ddce2b6": {
   "en": "Reflection Compression Phase",
   "zh": "反思压缩阶段",
   "level": "l2"
  },
  "CAP_ae42efcc": {
   "en": "Memory Pool Writeback Phase",
   "zh": "内存池回写阶段",
   "level": "l2"
  },
  "CAP_605a4ad8": {
   "en": "Experience Data Collection and Chunking",
   "zh": "经验数据采集与分块",
   "level": "l3"
  },
  "CAP_298d5891": {
   "en": "Generative Experience Compression",
   "zh": "生成式经验压缩",
   "level": "l3"
  },
  "CAP_3882c312": {
   "en": "Latent Space Sampling Replay",
   "zh": "潜在空间采样回放",
   "level": "l3"
  },
  "CAP_0bc8e80e": {
   "en": "Reflection Based Prioritization",
   "zh": "反思优先级筛选",
   "level": "l3"
  },
  "CAP_37c53007": {
   "en": "Memory Pool Integration Interface",
   "zh": "内存池集成接口",
   "level": "l3"
  },
  "CAP_4223f0e0": {
   "en": "World Model Construction",
   "zh": "世界模型构建",
   "level": "l2"
  },
  "CAP_84054d76": {
   "en": "Latent Space Rotation",
   "zh": "潜在空间旋转",
   "level": "l2"
  },
  "CAP_f92af2bb": {
   "en": "Multiview Rendering and Verification",
   "zh": "多视角渲染与验证",
   "level": "l2"
  },
  "CAP_8a57a424": {
   "en": "Interactive Rotation Reasoning Loop",
   "zh": "交互式旋转推理循环",
   "level": "l2"
  },
  "CAP_e66d5a63": {
   "en": "World Model Encoding",
   "zh": "世界模型编码",
   "level": "l3"
  },
  "CAP_a54f2022": {
   "en": "Latent Rotation Operator",
   "zh": "潜在空间旋转操作",
   "level": "l3"
  },
  "CAP_93909ffe": {
   "en": "Multiview Consistency Renderer",
   "zh": "多视角一致性渲染器",
   "level": "l3"
  },
  "CAP_5229f196": {
   "en": "Active Rotation Planner",
   "zh": "主动旋转规划器",
   "level": "l3"
  },
  "CAP_7867198c": {
   "en": "Interactive Rotation Loop",
   "zh": "交互式旋转推理循环",
   "level": "l3"
  },
  "CAP_620c9dd3": {
   "en": "2D Keypoint Detection and Description",
   "zh": "2D关键点检测与描述",
   "level": "l2"
  },
  "CAP_e57644ee": {
   "en": "6D Pose Estimation and Refinement",
   "zh": "6D位姿估计与精化",
   "level": "l2"
  },
  "CAP_ba45f545": {
   "en": "Rotation Decomposition and Verification",
   "zh": "旋转角度分解与验证",
   "level": "l2"
  },
  "CAP_7b9481ae": {
   "en": "2D Keypoint Detection",
   "zh": "2D关键点检测",
   "level": "l3"
  },
  "CAP_b24aba89": {
   "en": "Keypoint Description and Matching",
   "zh": "关键点描述与匹配",
   "level": "l3"
  },
  "CAP_1bd5e97a": {
   "en": "PnP Solver (EPnP)",
   "zh": "EPnP位姿求解器",
   "level": "l3"
  },
  "CAP_597d2628": {
   "en": "ICP Refinement (Point-to-Plane)",
   "zh": "点到平面ICP精化",
   "level": "l3"
  },
  "CAP_4b4c4a23": {
   "en": "Rotation Decomposition (Euler Angles)",
   "zh": "欧拉角旋转分解",
   "level": "l3"
  },
  "CAP_583c7734": {
   "en": "Symmetry-aware Pose Error",
   "zh": "对称感知位姿误差",
   "level": "l3"
  },
  "CAP_3a6a3920": {
   "en": "Telemetry Graph Construction Pipeline",
   "zh": "遥测图构建流水线",
   "level": "l2"
  },
  "CAP_b3a4f60e": {
   "en": "Spatio-Temporal Graph Encoding Pipeline",
   "zh": "时空图编码流水线",
   "level": "l2"
  },
  "CAP_18f1cb3f": {
   "en": "Multi-Task Prediction Pipeline",
   "zh": "多任务预测流水线",
   "level": "l2"
  },
  "CAP_a9acef52": {
   "en": "Online Model Adaptation Pipeline",
   "zh": "在线模型适应流水线",
   "level": "l2"
  },
  "CAP_d0d70c70": {
   "en": "Insight Export Pipeline",
   "zh": "洞察导出流水线",
   "level": "l2"
  },
  "CAP_a593f070": {
   "en": "Dynamic Topology Graph Construction",
   "zh": "动态拓扑图构建",
   "level": "l3"
  },
  "CAP_4cfdb6e0": {
   "en": "Spatio-Temporal Graph Embedding",
   "zh": "时空图嵌入",
   "level": "l3"
  },
  "CAP_8b2c079e": {
   "en": "Topology Link Prediction",
   "zh": "拓扑链路预测",
   "level": "l3"
  },
  "CAP_9a09d165": {
   "en": "Graph Anomaly Detection",
   "zh": "图异常检测",
   "level": "l3"
  },
  "CAP_37bb66a2": {
   "en": "Insight Export Visualization",
   "zh": "洞察导出与可视化",
   "level": "l3"
  },
  "CAP_a60106df": {
   "en": "Observation Encoding and State Initialization",
   "zh": "观测编码与状态初始化",
   "level": "l2"
  },
  "CAP_17d4a09e": {
   "en": "Heterogeneous Sensor Fusion and Observation Encoding",
   "zh": "异构传感器融合与观测编码",
   "level": "l3"
  },
  "CAP_1ea7ac50": {
   "en": "Diff Physics State Initialization",
   "zh": "可微分物理状态初始化",
   "level": "l3"
  },
  "CAP_37d7098f": {
   "en": "Differentiable Physics-Based Optimization",
   "zh": "可微分物理优化",
   "level": "l2"
  },
  "CAP_c81544e3": {
   "en": "Mesh Contact Gradient Estimation",
   "zh": "网格接触梯度估计",
   "level": "l3"
  },
  "CAP_f149e6c4": {
   "en": "Differentiable Mesh Renderer",
   "zh": "可微分网格渲染器",
   "level": "l3"
  },
  "CAP_c8854bbc": {
   "en": "Physics-Aware Multi-Modal Loss and Backpropagation",
   "zh": "物理感知多模态损失与反向传播",
   "level": "l3"
  },
  "CAP_96bf6432": {
   "en": "Gradient-Based Mesh State Update",
   "zh": "基于梯度的网格状态更新",
   "level": "l3"
  },
  "CAP_a3aac139": {
   "en": "Physics-Informed Uncertainty Quantification and Output",
   "zh": "物理信息不确定性量化与输出",
   "level": "l3"
  },
  "CAP_84b7834a": {
   "en": "Physics Informed Uncertainty Quantification",
   "zh": "物理信息不确定性量化",
   "level": "l3"
  },
  "CAP_6565a2dd": {
   "en": "Multi-view Video Preprocessing",
   "zh": "多视角视频预处理",
   "level": "l2"
  },
  "CAP_86835af1": {
   "en": "Neural Implicit Field Modeling",
   "zh": "神经隐式场建模",
   "level": "l2"
  },
  "CAP_22ba342d": {
   "en": "Differentiable Rendering and Loss",
   "zh": "可微渲染与损失计算",
   "level": "l2"
  },
  "CAP_1dc6a28f": {
   "en": "Surface Extraction and Mesh Output",
   "zh": "表面提取与网格输出",
   "level": "l2"
  },
  "CAP_65ba45e7": {
   "en": "Multi-view Acquisition and Calibration",
   "zh": "多视角采集与标定",
   "level": "l3"
  },
  "CAP_d265f4f3": {
   "en": "Foreground Segmentation and Motion Detection",
   "zh": "前景分割与运动检测",
   "level": "l3"
  },
  "CAP_34dce6cb": {
   "en": "Scene Motion Classification",
   "zh": "场景运动分类",
   "level": "l3"
  },
  "CAP_bf325d58": {
   "en": "Static Neural Surface Reconstruction",
   "zh": "静态神经表面重建",
   "level": "l3"
  },
  "CAP_dcdd81d1": {
   "en": "Deformable Surface Reconstruction",
   "zh": "可变形表面重建",
   "level": "l3"
  },
  "CAP_221b54c7": {
   "en": "Sparse View Deformable Completion",
   "zh": "稀疏视角可变形补全",
   "level": "l3"
  },
  "CAP_fee648d2": {
   "en": "Neural Field Consolidation",
   "zh": "神经场权重合并",
   "level": "l3"
  },
  "CAP_af55a97b": {
   "en": "Loss Computation and Backpropagation",
   "zh": "损失计算与反向传播",
   "level": "l3"
  },
  "CAP_f29a2cc8": {
   "en": "Isosurface Extraction",
   "zh": "等值面提取",
   "level": "l3"
  },
  "CAP_63b11a68": {
   "en": "Deformable Mesh Generation",
   "zh": "变形网格生成",
   "level": "l3"
  },
  "CAP_7cee3169": {
   "en": "Real-time Mesh Streaming",
   "zh": "实时网格流式传输",
   "level": "l3"
  },
  "CAP_55b3f529": {
   "en": "Diff Physics Perception and Initialization",
   "zh": "可微分物理感知与初始化",
   "level": "l2"
  },
  "CAP_03b35fea": {
   "en": "Diff Physics Simulation and Rendering",
   "zh": "可微分物理仿真与渲染",
   "level": "l2"
  },
  "CAP_b4e3b173": {
   "en": "RPL DODAG Uplink Aggregation",
   "zh": "RPL DODAG 上行汇聚",
   "level": "l2"
  },
  "CAP_9a5bbe57": {
   "en": "DODAG Root Initialization",
   "zh": "DODAG 根节点初始化",
   "level": "l3"
  },
  "CAP_24a6e109": {
   "en": "DODAG Join and Parent Selection",
   "zh": "DODAG 入网与父节点选择",
   "level": "l3"
  },
  "CAP_f95d9355": {
   "en": "DAO Uplink Propagation",
   "zh": "DAO 上行传播",
   "level": "l3"
  },
  "CAP_0350d32c": {
   "en": "RPL Loop Detection and Avoidance",
   "zh": "RPL 环路检测与避免",
   "level": "l3"
  },
  "CAP_2539be3e": {
   "en": "Trickle Timer Management",
   "zh": "Trickle 定时器管理",
   "level": "l3"
  },
  "CAP_28d28a19": {
   "en": "Mesh Peering and Proactive Topology Establishment",
   "zh": "网格对等链路建立与主动拓扑构建",
   "level": "l2"
  },
  "CAP_909890b7": {
   "en": "Path Management and Forwarding",
   "zh": "路径管理与数据转发",
   "level": "l2"
  },
  "CAP_cfea6d27": {
   "en": "Path Maintenance and Error Recovery",
   "zh": "路径维护与错误恢复",
   "level": "l3"
  },
  "CAP_59acca01": {
   "en": "HWMP Proactive Tree Establishment",
   "zh": "HWMP 主动树形路径建立",
   "level": "l3"
  },
  "CAP_8936d050": {
   "en": "HWMP On-demand Path Discovery",
   "zh": "HWMP 按需路径发现",
   "level": "l3"
  },
  "CAP_be0b97c6": {
   "en": "Airtime Link Metric Calculation",
   "zh": "空口链路度量计算",
   "level": "l3"
  },
  "CAP_4e474985": {
   "en": "Path Error Propagation",
   "zh": "路径错误传播",
   "level": "l3"
  },
  "CAP_cd5c9bac": {
   "en": "Six Address Frame Forwarding",
   "zh": "802.11s 六地址帧转发",
   "level": "l3"
  },
  "CAP_a8b4bad0": {
   "en": "Path Table Lookup and Forwarding Decision",
   "zh": "路径表查询与转发决策",
   "level": "l3"
  },
  "CAP_18988272": {
   "en": "Mesh Peering Management",
   "zh": "网格对等链路管理",
   "level": "l3"
  },
  "CAP_132e2de3": {
   "en": "Multi-view Input Preparation",
   "zh": "多视图输入准备",
   "level": "l2"
  },
  "CAP_1fcf57f7": {
   "en": "Implicit Field Construction",
   "zh": "隐式场构建",
   "level": "l2"
  },
  "CAP_e7eacf9c": {
   "en": "Differentiable Rendering and Photometric Loss",
   "zh": "可微渲染与光度损失",
   "level": "l2"
  },
  "CAP_caa25b11": {
   "en": "Geometry Regularization and Optimization",
   "zh": "几何正则化与优化",
   "level": "l2"
  },
  "CAP_b0709a33": {
   "en": "Surface Extraction and Postprocessing",
   "zh": "表面提取与后处理",
   "level": "l2"
  },
  "CAP_a71223d3": {
   "en": "Foreground Mask and Sampling Initialization",
   "zh": "前景掩码与采样初始化",
   "level": "l3"
  },
  "CAP_d51e2e87": {
   "en": "Multiresolution Hash Encoding",
   "zh": "多分辨率哈希编码",
   "level": "l3"
  },
  "CAP_cd206130": {
   "en": "Implicit Field Network",
   "zh": "隐式场网络",
   "level": "l3"
  },
  "CAP_26ad6d17": {
   "en": "Volumetric Rendering SDF",
   "zh": "基于 SDF 的体积渲染",
   "level": "l3"
  },
  "CAP_67708193": {
   "en": "Geometry Regularization",
   "zh": "几何正则化",
   "level": "l3"
  },
  "CAP_a9f95206": {
   "en": "Implicit Surface Optimization",
   "zh": "隐式表面优化",
   "level": "l3"
  },
  "CAP_248551f9": {
   "en": "Marching Cubes Extraction",
   "zh": "Marching Cubes 等值面提取",
   "level": "l3"
  },
  "CAP_612504ea": {
   "en": "Mesh Postprocessing",
   "zh": "网格后处理",
   "level": "l3"
  },
  "CAP_6d13949c": {
   "en": "Sparse PCD Preprocessing",
   "zh": "稀疏点云预处理",
   "level": "l3"
  },
  "CAP_68f3c1a9": {
   "en": "Surface Extraction via Delaunay and Visibility",
   "zh": "基于Delaunay与可见性的表面提取",
   "level": "l3"
  },
  "CAP_81ac47c7": {
   "en": "Alternative Sparse PCD Reconstruction",
   "zh": "替代稀疏点云重建方法",
   "level": "l2"
  },
  "CAP_cf9efaa4": {
   "en": "Large-scale Sparse PCD Meshing",
   "zh": "大规模稀疏点云网格重建",
   "level": "l2"
  },
  "CAP_c50841a5": {
   "en": "Sparse PCD Normal Estimation",
   "zh": "稀疏点云法向量估计",
   "level": "l3"
  },
  "CAP_15e1c69e": {
   "en": "Sparse PCD Delaunay Meshing",
   "zh": "稀疏点云Delaunay网格重建",
   "level": "l3"
  },
  "CAP_885b9f63": {
   "en": "Sparse PCD FSSR Reconstruction",
   "zh": "稀疏点云FSSR重建",
   "level": "l3"
  },
  "CAP_9cf2a326": {
   "en": "Large-scale Out-of-core Meshing",
   "zh": "大规模外存网格重建",
   "level": "l3"
  },
  "CAP_be6be3cb": {
   "en": "Sparse PCD Hole Filling",
   "zh": "稀疏点云网格补洞",
   "level": "l3"
  },
  "CAP_c607d9bb": {
   "en": "Semantic Self-Introspection Monitoring",
   "zh": "多模态语义自省监控",
   "level": "l2"
  },
  "CAP_503f6b4a": {
   "en": "Semantic Expectation Generation",
   "zh": "语义期望生成",
   "level": "l3"
  },
  "CAP_69360a12": {
   "en": "Semantic Consistency Scoring",
   "zh": "语义一致性评分",
   "level": "l3"
  },
  "CAP_4ad6dff5": {
   "en": "Scene Graph Anomaly Detection",
   "zh": "场景图异常检测",
   "level": "l3"
  },
  "CAP_72d848ca": {
   "en": "Cross-frame Semantic Tracking",
   "zh": "跨帧语义追踪",
   "level": "l3"
  },
  "CAP_2fb487aa": {
   "en": "Multimodal Uncertainty Quantification",
   "zh": "多模态不确定性量化",
   "level": "l3"
  },
  "CAP_b568387f": {
   "en": "Anomaly Pattern Classification",
   "zh": "异常模式分类",
   "level": "l3"
  },
  "CAP_4a440d23": {
   "en": "Hierarchical Anomaly Causality",
   "zh": "层次化异常因果追踪",
   "level": "l3"
  },
  "CAP_0a5b063a": {
   "en": "Adaptive Trigger Decision",
   "zh": "自适应触发决策",
   "level": "l3"
  },
  "CAP_8de8805f": {
   "en": "Cognitive State Space Modeling",
   "zh": "认知状态空间建模",
   "level": "l2"
  },
  "CAP_8bfecc0e": {
   "en": "Observation Extraction and Bayesian Filtering",
   "zh": "观测提取与贝叶斯滤波",
   "level": "l2"
  },
  "CAP_73bebdd2": {
   "en": "Uncertainty Quantification and Adaptive Triggering",
   "zh": "不确定性量化与自适应触发",
   "level": "l2"
  },
  "CAP_c5fc7d63": {
   "en": "Cognitive State Space Definition",
   "zh": "认知状态空间定义",
   "level": "l3"
  },
  "CAP_494d990e": {
   "en": "Prior and Transition Model Initialization",
   "zh": "先验与转移模型初始化",
   "level": "l3"
  },
  "CAP_6fd34edd": {
   "en": "Observation Model Calibration",
   "zh": "观测模型标定",
   "level": "l3"
  },
  "CAP_5731076a": {
   "en": "Observation Signal Extraction",
   "zh": "观测信号提取",
   "level": "l3"
  },
  "CAP_240d1723": {
   "en": "Bayesian State Estimation",
   "zh": "贝叶斯状态估计",
   "level": "l3"
  },
  "CAP_71cd9c2e": {
   "en": "Sequential Hypothesis Testing",
   "zh": "序贯假设检验",
   "level": "l3"
  },
  "CAP_93c64a86": {
   "en": "Physical Layer Data Acquisition and Prediction",
   "zh": "物理层数据采集与预测建模",
   "level": "l2"
  },
  "CAP_b9f64d43": {
   "en": "Residual Based Anomaly Analysis",
   "zh": "基于残差的异常分析",
   "level": "l2"
  },
  "CAP_491cf047": {
   "en": "Metacognitive Signal Emission Oversight",
   "zh": "元认知信号发射监控",
   "level": "l2"
  },
  "CAP_9d1e0608": {
   "en": "Physical Layer Data Acquisition",
   "zh": "物理层数据采集",
   "level": "l3"
  },
  "CAP_335bbb97": {
   "en": "Temporal Prediction Modeling",
   "zh": "时序预测建模",
   "level": "l3"
  },
  "CAP_38296cdb": {
   "en": "Residual Analysis Pipeline",
   "zh": "残差分析管道",
   "level": "l3"
  },
  "CAP_908b2ae3": {
   "en": "Anomaly Detection Decision",
   "zh": "异常检测决策",
   "level": "l3"
  },
  "CAP_ed986cbf": {
   "en": "Metacognitive Signal Emission",
   "zh": "元认知信号发射",
   "level": "l3"
  },
  "CAP_acb3ef7c": {
   "en": "Bayesian Uncertainty-based Metacognitive Monitoring",
   "zh": "贝叶斯不确定性元认知监控",
   "level": "l2"
  },
  "CAP_8d137708": {
   "en": "Perception Driven Grasping",
   "zh": "感知驱动抓取",
   "level": "l1"
  },
  "CAP_05d1db1b": {
   "en": "Vision Guided Scrap Sorting",
   "zh": "视觉引导散乱金属件分拣",
   "level": "l2"
  },
  "CAP_6eb79975": {
   "en": "Reflective Cloud Denoise",
   "zh": "高反光金属点云去噪",
   "level": "l3"
  },
  "CAP_fea65ea0": {
   "en": "Bin Picking Localization",
   "zh": "料箱/无序分拣视觉定位",
   "level": "l3"
  },
  "CAP_eaabf77b": {
   "en": "Gripper Agnostic Grasp",
   "zh": "手爪无关抓取执行",
   "level": "l3"
  },
  "CAP_368a968c": {
   "en": "Interreflection Suppression",
   "zh": "反光金属互反射伪影抑制",
   "level": "l3"
  },
  "CAP_7e8eaf65": {
   "en": "Sorting Decision Routing",
   "zh": "分拣决策与类别分流",
   "level": "l3"
  },
  "CAP_e17f05f0": {
   "en": "Scrap Stream Visual Perception",
   "zh": "废料流视觉感知",
   "level": "l2"
  },
  "CAP_aafe36f3": {
   "en": "Grasp Planning and Reachability Analysis",
   "zh": "抓取规划与可达性分析",
   "level": "l2"
  },
  "CAP_096c8f1c": {
   "en": "Electromagnetic Grasping with Tactile Feedback",
   "zh": "电磁抓取与触觉反馈",
   "level": "l2"
  },
  "CAP_24c018ff": {
   "en": "Sorting Placement and Bin Management",
   "zh": "分类投放与料仓管理",
   "level": "l2"
  },
  "CAP_6dbe1d54": {
   "en": "Scrap Stream Multispectral Acquisition",
   "zh": "废料流多光谱采集",
   "level": "l3"
  },
  "CAP_65c669f7": {
   "en": "Scrap Instance Segmentation",
   "zh": "废料实例分割",
   "level": "l3"
  },
  "CAP_7b584c2a": {
   "en": "Visuotactile Material Classification",
   "zh": "视触觉材质分类",
   "level": "l3"
  },
  "CAP_c23083fb": {
   "en": "Scrap 6-DoF Pose Estimation",
   "zh": "废料六自由度位姿估计",
   "level": "l3"
  },
  "CAP_8edc5757": {
   "en": "Graspability Assessment",
   "zh": "可抓取性评估",
   "level": "l3"
  },
  "CAP_f3630892": {
   "en": "Scrap Rejection Handling",
   "zh": "废料剔除处理",
   "level": "l3"
  },
  "CAP_7b5aeaeb": {
   "en": "Cluttered Scrap Grasp Planning",
   "zh": "堆叠废料抓取规划",
   "level": "l3"
  },
  "CAP_dba8bfae": {
   "en": "Tactile Slip Detection and Grasp Stabilization",
   "zh": "触觉滑移检测与抓取稳定",
   "level": "l3"
  },
  "CAP_11a15afa": {
   "en": "High Throughput Sorting Pipeline",
   "zh": "高吞吐分拣流水线",
   "level": "l3"
  },
  "CAP_94173f35": {
   "en": "Complex Product Disassembly and Recycling",
   "zh": "复杂成品具身拆解与回收",
   "level": "l2"
  },
  "CAP_f43c2345": {
   "en": "EOL Structural Recognition",
   "zh": "成品结构识别",
   "level": "l3"
  },
  "CAP_3b2455ad": {
   "en": "Magnetic Fixturing for Disassembly",
   "zh": "面向拆解的磁力固定",
   "level": "l3"
  },
  "CAP_f0a7f47e": {
   "en": "Selective Disassembly Execution",
   "zh": "选择性拆解执行",
   "level": "l3"
  },
  "CAP_0c808bce": {
   "en": "Ferrous Sorting Post Disassembly",
   "zh": "拆解后铁磁性分拣",
   "level": "l3"
  },
  "CAP_2a0e0906": {
   "en": "Disassembly Process Monitoring",
   "zh": "拆解过程监控",
   "level": "l3"
  },
  "CAP_4325ae69": {
   "en": "Bin Picking Motion Planning",
   "zh": "料箱拣取运动规划与避障",
   "level": "l3"
  },
  "CAP_3d17f11d": {
   "en": "Electromagnetic Grasp Execution",
   "zh": "电磁抓取执行",
   "level": "l3"
  },
  "CAP_a305e91f": {
   "en": "Sorting Placement Execution",
   "zh": "分类投放执行",
   "level": "l3"
  },
  "CAP_bf18511c": {
   "en": "Bin Level Monitoring and Statistics",
   "zh": "料位监测与统计",
   "level": "l3"
  },
  "CAP_c065c002": {
   "en": "Meta Training Setup",
   "zh": "元训练准备",
   "level": "l2"
  },
  "CAP_abce5c67": {
   "en": "Meta Training Initialization",
   "zh": "元训练初始化",
   "level": "l2"
  },
  "CAP_5d48d826": {
   "en": "Deployment and Fast Adaptation",
   "zh": "部署与快速适配",
   "level": "l2"
  },
  "CAP_4f14c605": {
   "en": "Modular Meta Learning Setup",
   "zh": "模块化元学习设置",
   "level": "l3"
  },
  "CAP_fb335a09": {
   "en": "Task Distribution Construction",
   "zh": "任务分布构建",
   "level": "l3"
  },
  "CAP_00de5b0e": {
   "en": "Visuomotor Meta Initialization",
   "zh": "视觉运动元初始化",
   "level": "l3"
  },
  "CAP_23723ea4": {
   "en": "Meta Initialization Deployment",
   "zh": "元初始化部署",
   "level": "l3"
  },
  "CAP_909cb640": {
   "en": "Adaptation Signal Handling",
   "zh": "适配信号处理",
   "level": "l3"
  },
  "CAP_7a4f3c36": {
   "en": "Context Dynamics Implicit Initialization",
   "zh": "上下文动力学隐式初始化",
   "level": "l2"
  },
  "CAP_0d0b06b7": {
   "en": "Context Encoder Design",
   "zh": "上下文编码器设计",
   "level": "l3"
  },
  "CAP_16c27257": {
   "en": "Conditional Policy Initialization",
   "zh": "条件策略初始化",
   "level": "l3"
  },
  "CAP_164e9a56": {
   "en": "Variational Meta Training",
   "zh": "变分元训练",
   "level": "l3"
  },
  "CAP_9be7afb1": {
   "en": "Online Posterior Refinement",
   "zh": "在线后验精化",
   "level": "l3"
  },
  "CAP_0382fcb0": {
   "en": "Dynamics Aware Embedding",
   "zh": "动力学感知嵌入",
   "level": "l3"
  },
  "CAP_55ea1be5": {
   "en": "Morphology-Task Joint Encoding",
   "zh": "形态-任务联合编码",
   "level": "l2"
  },
  "CAP_615fc3ab": {
   "en": "Morphology Encoding",
   "zh": "形态编码",
   "level": "l3"
  },
  "CAP_267c767c": {
   "en": "Crossmodal Embedding Fusion",
   "zh": "跨模态嵌入融合",
   "level": "l3"
  },
  "CAP_6127839b": {
   "en": "Modular Parameter Generation",
   "zh": "模块化参数生成",
   "level": "l3"
  },
  "CAP_47cd2e8c": {
   "en": "HyperNetwork Parameter Generation",
   "zh": "超网络参数生成",
   "level": "l3"
  },
  "CAP_de4cfced": {
   "en": "Module Bank Retrieval",
   "zh": "模块库检索",
   "level": "l3"
  },
  "CAP_328244d1": {
   "en": "Policy Assembly and Adaptation",
   "zh": "策略组装与适配",
   "level": "l2"
  },
  "CAP_8a9b4ea5": {
   "en": "Composable Policy Assembly",
   "zh": "可组合策略组装",
   "level": "l3"
  },
  "CAP_ec31a71c": {
   "en": "Few-shot Adapter Finetuning",
   "zh": "少样本适配器微调",
   "level": "l3"
  },
  "CAP_f7bcc1c0": {
   "en": "Closed-Loop Verification and Update",
   "zh": "闭环验证与模块更新",
   "level": "l3"
  },
  "CAP_eb59f1a2": {
   "en": "Performance Verification",
   "zh": "性能验证",
   "level": "l3"
  },
  "CAP_efe437eb": {
   "en": "Module Update Decision",
   "zh": "模块更新决策",
   "level": "l3"
  },
  "CAP_d445e14b": {
   "en": "Online Meta-Gradient Update",
   "zh": "在线元梯度更新",
   "level": "l3"
  },
  "CAP_9c7242c9": {
   "en": "Context-based Meta-RL Fast Adaptation",
   "zh": "基于上下文的元强化学习快速适应",
   "level": "l2"
  },
  "CAP_e6e5efc1": {
   "en": "Context-Conditioned Policy Execution",
   "zh": "条件策略执行",
   "level": "l3"
  },
  "CAP_f6893bce": {
   "en": "Offline Context Distance Metric Learning",
   "zh": "离线上下文距离度量学习",
   "level": "l3"
  },
  "CAP_839c33d2": {
   "en": "Context Collection and Encoding",
   "zh": "上下文采集与编码",
   "level": "l2"
  },
  "CAP_4c16744a": {
   "en": "Task Inference and Policy Execution",
   "zh": "任务推断与策略执行",
   "level": "l2"
  },
  "CAP_9c657e55": {
   "en": "Contextual Task Inference RNN",
   "zh": "基于RNN的上下文任务推断",
   "level": "l3"
  },
  "CAP_b56ef550": {
   "en": "Transformer Context Aggregation",
   "zh": "Transformer上下文聚合",
   "level": "l3"
  },
  "CAP_acab6924": {
   "en": "Offline Contextual Inference",
   "zh": "离线上下文推断",
   "level": "l3"
  },
  "CAP_91b88293": {
   "en": "Offline Multi-Task Data Acquisition",
   "zh": "离线多任务数据采集",
   "level": "l3"
  },
  "CAP_f0c3d844": {
   "en": "Offline Multi-Task Data Collection",
   "zh": "离线多任务轨迹采集",
   "level": "l3"
  },
  "CAP_d4d6580c": {
   "en": "Sequence Modeling Meta-Policy Training",
   "zh": "序列建模元策略训练",
   "level": "l2"
  },
  "CAP_90432889": {
   "en": "Offline Multi-Task Trajectory Modeling",
   "zh": "离线多任务轨迹建模",
   "level": "l3"
  },
  "CAP_4810b6ee": {
   "en": "Cross-Embodiment Meta Transfer",
   "zh": "跨形态元迁移",
   "level": "l3"
  },
  "CAP_9f0d27be": {
   "en": "Context Adaptation and Action Generation",
   "zh": "上下文适应与动作生成",
   "level": "l2"
  },
  "CAP_bb5ccd61": {
   "en": "In-Context Policy Adaptation",
   "zh": "上下文策略适应",
   "level": "l3"
  },
  "CAP_2dbec1bb": {
   "en": "Multimodal Meta Prompt Manipulation",
   "zh": "多模态元提示操控",
   "level": "l3"
  },
  "CAP_2a3a013b": {
   "en": "Deployment and Online Fine-tuning",
   "zh": "部署与在线微调",
   "level": "l2"
  },
  "CAP_aeead7ee": {
   "en": "Offline-to-Online Fine-tuning Bridge",
   "zh": "离线到在线微调桥接",
   "level": "l3"
  },
  "CAP_1ad4ee92": {
   "en": "Disparity Estimation and Metric Depth Conversion",
   "zh": "视差估计与度量深度转换",
   "level": "l2"
  },
  "CAP_43e2de53": {
   "en": "Depth Fusion and Post-processing",
   "zh": "深度融合与后处理",
   "level": "l2"
  },
  "CAP_81b7fc6f": {
   "en": "Stereo Calibration Load",
   "zh": "立体标定参数加载",
   "level": "l3"
  },
  "CAP_d240213e": {
   "en": "Dense Stereo Matching",
   "zh": "稠密立体匹配",
   "level": "l3"
  },
  "CAP_35f504d9": {
   "en": "Disparity to Metric Depth",
   "zh": "视差转度量深度",
   "level": "l3"
  },
  "CAP_20664d03": {
   "en": "Multi View Depth Fusion",
   "zh": "多视角深度融合",
   "level": "l3"
  },
  "CAP_093fb7e1": {
   "en": "Depth Map Post Processing",
   "zh": "深度图后处理",
   "level": "l3"
  },
  "CAP_7a978558": {
   "en": "Data Engineering for Metric Depth",
   "zh": "度量深度数据工程",
   "level": "l2"
  },
  "CAP_65f01a38": {
   "en": "Multi-Source Metric Data Fusion",
   "zh": "多源度量深度数据融合",
   "level": "l3"
  },
  "CAP_1f1a2fed": {
   "en": "Scale-Aware Model Training",
   "zh": "尺度感知模型训练",
   "level": "l2"
  },
  "CAP_fbd1297c": {
   "en": "Scale-Aware Architecture",
   "zh": "尺度感知架构",
   "level": "l3"
  },
  "CAP_a61b1612": {
   "en": "Metric Depth Loss Functions",
   "zh": "度量深度损失函数",
   "level": "l3"
  },
  "CAP_9a03c138": {
   "en": "Zero-Shot Generalization and Adaptation",
   "zh": "零样本泛化与适配",
   "level": "l2"
  },
  "CAP_1d9e2644": {
   "en": "Zero-Shot Metric Depth Inference",
   "zh": "零样本度量深度推理",
   "level": "l3"
  },
  "CAP_3981c8a3": {
   "en": "Scale Recovery Head Training",
   "zh": "尺度恢复头训练",
   "level": "l3"
  },
  "CAP_c16e0b73": {
   "en": "Multi-view Topology Decision",
   "zh": "多视角拓扑决策",
   "level": "l3"
  },
  "CAP_524fc67d": {
   "en": "Intent Understanding and Task Planning Phase",
   "zh": "意图理解与任务规划阶段",
   "level": "l2"
  },
  "CAP_89b78ccf": {
   "en": "Context Aggregation Phase",
   "zh": "上下文聚合阶段",
   "level": "l2"
  },
  "CAP_ff935a3a": {
   "en": "Skill Selection Phase",
   "zh": "技能选择阶段",
   "level": "l2"
  },
  "CAP_de6a9bb8": {
   "en": "Execution and Monitoring Phase",
   "zh": "技能执行与监控阶段",
   "level": "l2"
  },
  "CAP_4334d9b5": {
   "en": "Validation and Recovery Phase",
   "zh": "结果验证与错误恢复阶段",
   "level": "l2"
  },
  "CAP_5a40d33c": {
   "en": "Chain Orchestration Phase",
   "zh": "链式编排与终止阶段",
   "level": "l2"
  },
  "CAP_42e8d859": {
   "en": "Affordance-based Skill Selection",
   "zh": "基于可供性的技能选择",
   "level": "l3"
  },
  "CAP_aa2c7c31": {
   "en": "Atomic Skill Execution",
   "zh": "原子技能执行",
   "level": "l3"
  },
  "CAP_99f99e71": {
   "en": "Chain Orchestration with Recovery",
   "zh": "带恢复的链编排",
   "level": "l3"
  },
  "CAP_4a003bc0": {
   "en": "Data Acquisition Preprocessing Phase",
   "zh": "数据采集与预处理阶段",
   "level": "l2"
  },
  "CAP_056e2edc": {
   "en": "Perception State Estimation Phase",
   "zh": "感知与状态估计阶段",
   "level": "l2"
  },
  "CAP_8a9fc9e3": {
   "en": "Planning Decision Phase",
   "zh": "规划与决策阶段",
   "level": "l2"
  },
  "CAP_c905cfa8": {
   "en": "Execution Control Phase",
   "zh": "执行与控制阶段",
   "level": "l2"
  },
  "CAP_08764b31": {
   "en": "Distributed Sensor Data Ingestion",
   "zh": "分布式传感器数据摄取",
   "level": "l3"
  },
  "CAP_79dd4f84": {
   "en": "Pluggable Perception Backend",
   "zh": "可插拔感知后端",
   "level": "l3"
  },
  "CAP_79c2f2be": {
   "en": "Cloud Edge Planning Orchestrator",
   "zh": "云边规划编排器",
   "level": "l3"
  },
  "CAP_7c2802fa": {
   "en": "Graceful Degradation Manager",
   "zh": "优雅降级管理器",
   "level": "l3"
  },
  "CAP_2182ae0e": {
   "en": "Real-Time Control Loop Microservice",
   "zh": "实时控制环微服务",
   "level": "l3"
  },
  "CAP_9f76a1ef": {
   "en": "Simulation Environment Management Phase",
   "zh": "仿真环境管理阶段",
   "level": "l2"
  },
  "CAP_b75d0cd8": {
   "en": "Policy Training Orchestration Phase",
   "zh": "策略训练编排阶段",
   "level": "l2"
  },
  "CAP_d9392c6d": {
   "en": "Policy Validation Phase",
   "zh": "策略验证与安全过滤阶段",
   "level": "l2"
  },
  "CAP_214d55af": {
   "en": "Sim2Real Bridging Phase",
   "zh": "真实迁移桥接阶段",
   "level": "l2"
  },
  "CAP_80160be0": {
   "en": "Data Loopback Phase",
   "zh": "数据回流与闭环阶段",
   "level": "l2"
  },
  "CAP_a6d33ec7": {
   "en": "Simulation Environment Lifecycle Management",
   "zh": "仿真环境生命周期管理",
   "level": "l3"
  },
  "CAP_34510e4c": {
   "en": "Distributed Policy Training Orchestration",
   "zh": "分布式策略训练编排",
   "level": "l3"
  },
  "CAP_0d730fe2": {
   "en": "Policy Safety Validation",
   "zh": "策略安全验证",
   "level": "l3"
  },
  "CAP_b999fcd3": {
   "en": "Sim2Real Strategy Bridge",
   "zh": "仿真到现实策略桥接",
   "level": "l3"
  },
  "CAP_087f2989": {
   "en": "Real Data Loopback Processor",
   "zh": "真实数据回流处理器",
   "level": "l3"
  },
  "CAP_42a56696": {
   "en": "System Initialization and Runtime Setup",
   "zh": "系统初始化与运行时准备",
   "level": "l2"
  },
  "CAP_f3f30843": {
   "en": "Onboard Visual Perception",
   "zh": "机载视觉感知",
   "level": "l2"
  },
  "CAP_74c8b2d6": {
   "en": "Flight Control Closed Loop",
   "zh": "飞控闭环集成",
   "level": "l2"
  },
  "CAP_e1b5ae47": {
   "en": "rclc Node Init with RTOS",
   "zh": "RTOS上下文节点初始化",
   "level": "l3"
  },
  "CAP_65444915": {
   "en": "rclc Parameter Tuning Service",
   "zh": "参数动态配置服务",
   "level": "l3"
  },
  "CAP_033c1e8f": {
   "en": "rclc Diagnostic Monitor",
   "zh": "诊断与日志监控",
   "level": "l3"
  },
  "CAP_af19d041": {
   "en": "rclc Lifecycle Vision Node",
   "zh": "视觉节点生命周期管理",
   "level": "l3"
  },
  "CAP_d1b4a5f6": {
   "en": "Image Acquisition and Preprocessing",
   "zh": "图像获取与预处理",
   "level": "l3"
  },
  "CAP_21dfcc15": {
   "en": "Visual State Estimation",
   "zh": "视觉状态估计",
   "level": "l3"
  },
  "CAP_630096c3": {
   "en": "rclc Vision Pipeline Publisher",
   "zh": "视觉流水线发布器",
   "level": "l3"
  },
  "CAP_1b7c65be": {
   "en": "rclc Flight Control Subscriber",
   "zh": "飞控指令订阅器",
   "level": "l3"
  },
  "CAP_45464e42": {
   "en": "Simulation Modeling and Training",
   "zh": "仿真建模与策略训练",
   "level": "l2"
  },
  "CAP_12db4ad6": {
   "en": "Embedded Deployment and Integration",
   "zh": "嵌入式部署与集成",
   "level": "l2"
  },
  "CAP_bb285fb8": {
   "en": "Real System Validation and Adaptation",
   "zh": "真实验证与在线自适应",
   "level": "l2"
  },
  "CAP_7b450c16": {
   "en": "Magnetic Field Modeling",
   "zh": "磁场建模",
   "level": "l3"
  },
  "CAP_02812ad7": {
   "en": "Microrobot Dynamics Identification",
   "zh": "微机器人动力学辨识",
   "level": "l3"
  },
  "CAP_ffa8668c": {
   "en": "Simulation Policy Training",
   "zh": "仿真策略训练",
   "level": "l3"
  },
  "CAP_bfced5ac": {
   "en": "Micro-ROS Firmware Generation",
   "zh": "Micro-ROS固件生成",
   "level": "l3"
  },
  "CAP_445b7b5a": {
   "en": "Sim2Real Policy Deployment",
   "zh": "仿真到真实策略部署",
   "level": "l3"
  },
  "CAP_f25e7776": {
   "en": "Magnetic Field Control Loop",
   "zh": "磁场闭环控制",
   "level": "l3"
  },
  "CAP_828f3653": {
   "en": "Micro State Estimation",
   "zh": "微机器人状态估计",
   "level": "l3"
  },
  "CAP_7793efb2": {
   "en": "Domain Adaptation Online",
   "zh": "在线域自适应",
   "level": "l3"
  },
  "CAP_e2f7d072": {
   "en": "Micro Telemetry Streaming",
   "zh": "微遥测流式传输",
   "level": "l3"
  },
  "CAP_4e813e4e": {
   "en": "Tactile Perception and Preprocessing",
   "zh": "触觉感知与预处理",
   "level": "l2"
  },
  "CAP_3f9d3173": {
   "en": "Surface Classification and Gait Decision",
   "zh": "表面分类与步态决策",
   "level": "l2"
  },
  "CAP_d15bb87a": {
   "en": "Force/Position Hybrid Control and Execution",
   "zh": "力/位置混合控制与执行",
   "level": "l2"
  },
  "CAP_f0d2b4c6": {
   "en": "tactile array acquisition",
   "zh": "触觉阵列采集",
   "level": "l3"
  },
  "CAP_6cbf0214": {
   "en": "tactile feature extraction embedded",
   "zh": "嵌入式触觉特征提取",
   "level": "l3"
  },
  "CAP_77562770": {
   "en": "surface classification micro",
   "zh": "微型表面分类",
   "level": "l3"
  },
  "CAP_6235e171": {
   "en": "adaptive gait action server",
   "zh": "自适应步态动作服务器",
   "level": "l3"
  },
  "CAP_525a8878": {
   "en": "emergency grip enhancement",
   "zh": "紧急抓地力增强",
   "level": "l3"
  },
  "CAP_e518bf26": {
   "en": "tactile anomaly detection",
   "zh": "触觉异常检测",
   "level": "l3"
  },
  "CAP_6d150718": {
   "en": "Hardware Initialization and Node Creation",
   "zh": "硬件初始化与节点创建",
   "level": "l2"
  },
  "CAP_30009071": {
   "en": "Topic Entity and QoS Configuration",
   "zh": "话题实体与QoS配置",
   "level": "l2"
  },
  "CAP_772d526d": {
   "en": "Control Loop and Sensor Acquisition",
   "zh": "控制循环执行器配置与传感器采集",
   "level": "l2"
  },
  "CAP_0118674c": {
   "en": "Motion Control and Mode Handling",
   "zh": "运动控制解算与模式处理",
   "level": "l3"
  },
  "CAP_73598b98": {
   "en": "Time Synchronization and Loop Timing",
   "zh": "时间同步与循环维持",
   "level": "l2"
  },
  "CAP_7efcdd2e": {
   "en": "MicroROS Node Initialization",
   "zh": "Micro-ROS节点初始化",
   "level": "l3"
  },
  "CAP_ef819515": {
   "en": "ROS2 Topic and QoS Setup",
   "zh": "ROS2话题实体与QoS配置",
   "level": "l3"
  },
  "CAP_a348ca85": {
   "en": "Control Loop Executor Configuration",
   "zh": "控制循环执行器配置",
   "level": "l3"
  },
  "CAP_f3717d1b": {
   "en": "Sensor Data Acquisition and Filtering",
   "zh": "传感器数据采集与滤波",
   "level": "l3"
  },
  "CAP_59d51e8a": {
   "en": "Motor PID Velocity Control",
   "zh": "电机速度PID控制",
   "level": "l3"
  },
  "CAP_7c1cf43c": {
   "en": "Joint State Publisher RT",
   "zh": "实时关节状态发布",
   "level": "l3"
  },
  "CAP_4bb9780e": {
   "en": "Cmd Vel Subscriber Safe",
   "zh": "安全速度指令订阅",
   "level": "l3"
  },
  "CAP_22541356": {
   "en": "Imu Raw Publisher",
   "zh": "IMU原始数据发布",
   "level": "l3"
  },
  "CAP_57b1b60d": {
   "en": "Micro ROS Time Sync",
   "zh": "Micro-ROS时间同步",
   "level": "l3"
  },
  "CAP_16ab349c": {
   "en": "Distributed Sensor Node Lifecycle Management",
   "zh": "分布式传感器节点生命周期管理",
   "level": "l3"
  },
  "CAP_23c4e574": {
   "en": "Network Time Synchronization",
   "zh": "网络时间同步",
   "level": "l2"
  },
  "CAP_107a6bf7": {
   "en": "Data Transport and Aggregation",
   "zh": "数据传输与汇聚",
   "level": "l3"
  },
  "CAP_2135eb3b": {
   "en": "distributed sensor node lifecycle mgmt",
   "zh": "分布式传感器节点生命周期管理",
   "level": "l3"
  },
  "CAP_8b299894": {
   "en": "standardized multimodal data publishing",
   "zh": "标准化多模态数据发布",
   "level": "l3"
  },
  "CAP_bd6384d6": {
   "en": "data transport and aggregation",
   "zh": "数据传输与汇聚",
   "level": "l3"
  },
  "CAP_ed407a52": {
   "en": "approximate time multimodal fusion",
   "zh": "近似时间多模态融合",
   "level": "l3"
  },
  "CAP_a603088c": {
   "en": "Audio Wake Word Pipeline",
   "zh": "音频唤醒词处理流水线",
   "level": "l2"
  },
  "CAP_f96eda23": {
   "en": "Semantic Command Injection Pipeline",
   "zh": "语义指令注入流水线",
   "level": "l2"
  },
  "CAP_b9f79c7a": {
   "en": "System Orchestration and Update",
   "zh": "系统编排与更新",
   "level": "l2"
  },
  "CAP_29390a01": {
   "en": "Audio Preprocessing Pipeline",
   "zh": "音频预处理流水线",
   "level": "l3"
  },
  "CAP_c86624e6": {
   "en": "Edge Wake Word Detection",
   "zh": "边缘唤醒词检测",
   "level": "l3"
  },
  "CAP_4c15c621": {
   "en": "Semantic Command Injection",
   "zh": "语义指令注入",
   "level": "l3"
  },
  "CAP_0b0559ce": {
   "en": "Dual Core Task Orchestration",
   "zh": "双核任务编排",
   "level": "l3"
  },
  "CAP_4030c76a": {
   "en": "Model OTA Hotswap",
   "zh": "模型OTA热切换",
   "level": "l3"
  },
  "CAP_f1e795f5": {
   "en": "Distributed Sensor Network Bootstrap",
   "zh": "分布式传感器网络引导",
   "level": "l2"
  },
  "CAP_f17e12e7": {
   "en": "Multimodal Sensor Data Standardization",
   "zh": "多模态传感器数据标准化",
   "level": "l2"
  },
  "CAP_0d9bf217": {
   "en": "Distributed Time Synchronization",
   "zh": "分布式时间同步",
   "level": "l2"
  },
  "CAP_73d79800": {
   "en": "Data Transport and Aggregation Orchestration",
   "zh": "数据传输与汇聚编排",
   "level": "l2"
  },
  "CAP_f43a617e": {
   "en": "Multimodal Sensor Fusion Orchestration",
   "zh": "多模态数据融合编排",
   "level": "l2"
  },
  "CAP_004b8958": {
   "en": "Edge Audio Semantic Command Injection",
   "zh": "边缘语音语义指令注入",
   "level": "l2"
  },
  "CAP_10021047": {
   "en": "MC Hard Real-Time Force Control",
   "zh": "MCU硬实时力控",
   "level": "l2"
  },
  "CAP_c9643fa9": {
   "en": "Asynchronous State Publishing",
   "zh": "异步状态发布",
   "level": "l2"
  },
  "CAP_e2de6b58": {
   "en": "Micro-ROS Agent Bridging",
   "zh": "Micro-ROS代理桥接",
   "level": "l2"
  },
  "CAP_1ed9a02d": {
   "en": "MC Hard Real-Time Force Loop",
   "zh": "MCU硬实时力控闭环",
   "level": "l3"
  },
  "CAP_874711be": {
   "en": "Asynchronous State Publish via rclc",
   "zh": "基于rclc的异步状态发布",
   "level": "l3"
  },
  "CAP_1e0de946": {
   "en": "Micro-ROS Agent Bridge Forward",
   "zh": "Micro-ROS代理桥接转发",
   "level": "l3"
  },
  "CAP_d444901a": {
   "en": "Lock-Free Ring Buffer Exchange",
   "zh": "无锁环形缓冲区交换",
   "level": "l3"
  },
  "CAP_7388bf13": {
   "en": "Force Command Subscription",
   "zh": "力控命令订阅",
   "level": "l3"
  },
  "CAP_62468c9b": {
   "en": "Cross-Domain Service Invocation and Discovery",
   "zh": "跨域服务调用与发现",
   "level": "l2"
  },
  "CAP_efde0fdb": {
   "en": "Managed Lifecycle State Synchronization",
   "zh": "托管生命周期状态同步",
   "level": "l2"
  },
  "CAP_eee5e4d7": {
   "en": "Service Reliability and Error Handling",
   "zh": "服务可靠性与错误处理",
   "level": "l2"
  },
  "CAP_db89d069": {
   "en": "Cross-Domain Service Proxy",
   "zh": "跨域服务代理",
   "level": "l3"
  },
  "CAP_24aa67fe": {
   "en": "Service Discovery Bridge",
   "zh": "服务发现桥接",
   "level": "l3"
  },
  "CAP_7d4eeffd": {
   "en": "Managed Lifecycle Bridge",
   "zh": "托管生命周期桥接",
   "level": "l3"
  },
  "CAP_5223af19": {
   "en": "Service Timeout Management",
   "zh": "服务超时管理",
   "level": "l3"
  },
  "CAP_b9db7acb": {
   "en": "Edge Inference Reception and Routing",
   "zh": "边缘推理接收与分流",
   "level": "l2"
  },
  "CAP_b9c42762": {
   "en": "Inference Result Deserialization",
   "zh": "推理结果反序列化",
   "level": "l3"
  },
  "CAP_1df7b3a0": {
   "en": "Inference Priority Classification",
   "zh": "推理优先级分类",
   "level": "l3"
  },
  "CAP_c807fb76": {
   "en": "Semantic Annotation and Time Synchronization",
   "zh": "语义标注与时间同步",
   "level": "l2"
  },
  "CAP_25df191b": {
   "en": "Vision Msgs Semantic Mapping",
   "zh": "视觉消息语义映射",
   "level": "l3"
  },
  "CAP_9d2dfdb5": {
   "en": "Micro ROS Time Synchronization",
   "zh": "Micro-ROS时间同步",
   "level": "l3"
  },
  "CAP_1ec8da76": {
   "en": "QoS Adaptive Publishing",
   "zh": "QoS自适应发布",
   "level": "l2"
  },
  "CAP_9e1b11bb": {
   "en": "Adaptive QoS Publisher",
   "zh": "自适应QoS发布器",
   "level": "l3"
  },
  "CAP_cda5f7e8": {
   "en": "Build Environment Setup",
   "zh": "构建环境准备",
   "level": "l2"
  },
  "CAP_5de1d2a1": {
   "en": "Static Library Build Orchestration",
   "zh": "静态库构建与优化",
   "level": "l2"
  },
  "CAP_a7070494": {
   "en": "Application Integration",
   "zh": "应用集成",
   "level": "l2"
  },
  "CAP_a440fb0e": {
   "en": "Firmware Workspace Creation",
   "zh": "固件工作空间创建",
   "level": "l3"
  },
  "CAP_530afb86": {
   "en": "Cross Compilation Toolchain Config",
   "zh": "交叉编译工具链配置",
   "level": "l3"
  },
  "CAP_06013eb1": {
   "en": "Build Config Optimization",
   "zh": "构建配置优化",
   "level": "l3"
  },
  "CAP_1f51565a": {
   "en": "Static Library Compilation",
   "zh": "静态库编译",
   "level": "l3"
  },
  "CAP_24d11dfd": {
   "en": "App Integration CMake Template",
   "zh": "应用集成 CMake 模板",
   "level": "l3"
  },
  "CAP_a0fecf08": {
   "en": "Platform SDK Management",
   "zh": "平台 SDK 管理",
   "level": "l2"
  },
  "CAP_f756269c": {
   "en": "Platform SDK Registry",
   "zh": "平台 SDK 注册表",
   "level": "l3"
  },
  "CAP_7db4a3af": {
   "en": "SDK Dynamic Fetching",
   "zh": "SDK 动态获取",
   "level": "l2"
  },
  "CAP_0517ed33": {
   "en": "SDK Dynamic Fetcher",
   "zh": "SDK 动态获取器",
   "level": "l3"
  },
  "CAP_9960f6e9": {
   "en": "Toolchain Injection",
   "zh": "工具链注入",
   "level": "l2"
  },
  "CAP_36e9355b": {
   "en": "Toolchain Injector",
   "zh": "工具链注入器",
   "level": "l3"
  },
  "CAP_d9e97542": {
   "en": "Component Dependency Resolution",
   "zh": "组件依赖解析",
   "level": "l2"
  },
  "CAP_97bd5bb8": {
   "en": "Component Dependency Resolver",
   "zh": "组件依赖解析器",
   "level": "l3"
  },
  "CAP_6284b9b1": {
   "en": "Cross Compilation Orchestration",
   "zh": "交叉编译编排",
   "level": "l2"
  },
  "CAP_dc865fe7": {
   "en": "Cross Compilation Orchestrator",
   "zh": "交叉编译编排器",
   "level": "l3"
  },
  "CAP_3197b7f8": {
   "en": "Zephyr Native Module Build",
   "zh": "Zephyr 原生模块构建（micro-ROS 接入）",
   "level": "l2"
  },
  "CAP_f87b46d1": {
   "en": "Zephyr Module Registration",
   "zh": "Zephyr 外部模块注册",
   "level": "l3"
  },
  "CAP_e2d07214": {
   "en": "Micro-ROS Kconfig Enable",
   "zh": "Micro-ROS Kconfig 选通与传输选择",
   "level": "l3"
  },
  "CAP_8ff5725e": {
   "en": "Colcon Meta Tuning",
   "zh": "colcon.meta 资源与 MTU 调参",
   "level": "l3"
  },
  "CAP_d5d8743c": {
   "en": "Libmicroros Static Build",
   "zh": "libmicroros 静态库构建编排",
   "level": "l3"
  },
  "CAP_60be70f3": {
   "en": "Libmicroros Link Integration",
   "zh": "libmicroros.a 链接集成",
   "level": "l3"
  },
  "CAP_acbc8b65": {
   "en": "Rclc Real-time Executor Switch",
   "zh": "rclc 确定性执行器",
   "level": "l3"
  },
  "CAP_452d9bf3": {
   "en": "FreeRTOS Micro-ROS Executor Spin",
   "zh": "FreeRTOS 中 Micro-ROS 执行器自旋",
   "level": "l3"
  },
  "CAP_60220c40": {
   "en": "Stm32 Encoder Odometry",
   "zh": "STM32 编码器里程计",
   "level": "l3"
  },
  "CAP_de491fea": {
   "en": "TIM Hardware Emergency Brake",
   "zh": "TIM 硬件急停刹车",
   "level": "l3"
  },
  "CAP_73c9f8d3": {
   "en": "Servo PWM Baremetal Driver",
   "zh": "裸机伺服 PWM 驱动",
   "level": "l3"
  },
  "CAP_39eaa656": {
   "en": "Servo Safety State Machine",
   "zh": "伺服安全状态机",
   "level": "l3"
  },
  "CAP_8b23a2b4": {
   "en": "Micro-ROS Servo Subscriber",
   "zh": "Micro-ROS 伺服订阅者",
   "level": "l3"
  },
  "CAP_184d8993": {
   "en": "Diagnostics Async Publisher",
   "zh": "诊断异步发布器",
   "level": "l3"
  },
  "CAP_75cf9584": {
   "en": "Servo Calibration Flash Storage",
   "zh": "伺服校准 Flash 存储",
   "level": "l3"
  },
  "CAP_136e8885": {
   "en": "Symbolic Milestone Planning",
   "zh": "符号里程碑规划",
   "level": "l2"
  },
  "CAP_eb6de105": {
   "en": "Failure-Driven Replanning",
   "zh": "失败驱动的重规划",
   "level": "l2"
  },
  "CAP_1464063a": {
   "en": "Milestone Execution Coordination",
   "zh": "里程碑执行协调",
   "level": "l2"
  },
  "CAP_7a076ad3": {
   "en": "Symbolic Milestone Generation",
   "zh": "符号里程碑生成",
   "level": "l3"
  },
  "CAP_9ceec4b4": {
   "en": "Geometry Feasibility Check",
   "zh": "几何可行性检查",
   "level": "l3"
  },
  "CAP_1c54173e": {
   "en": "Symbol-Geometry Interface Manager",
   "zh": "符号-几何接口管理器",
   "level": "l3"
  },
  "CAP_49a904ae": {
   "en": "Constraint Propagation and Replanning",
   "zh": "约束传播与重规划",
   "level": "l3"
  },
  "CAP_16b140da": {
   "en": "Milestone Execution and Verification",
   "zh": "里程碑执行与验证",
   "level": "l3"
  },
  "CAP_8f2f9720": {
   "en": "Visual Condition Generation Pipeline",
   "zh": "视觉条件生成流水线",
   "level": "l2"
  },
  "CAP_8f862200": {
   "en": "Subgoal Generation Pipeline",
   "zh": "子目标生成流水线",
   "level": "l2"
  },
  "CAP_ee9d327a": {
   "en": "Subgoal Verification Pipeline",
   "zh": "子目标验证流水线",
   "level": "l2"
  },
  "CAP_ad921e0b": {
   "en": "Action Extraction Pipeline",
   "zh": "动作提取流水线",
   "level": "l2"
  },
  "CAP_8e5b07b2": {
   "en": "Execution Monitoring Pipeline",
   "zh": "执行监控流水线",
   "level": "l2"
  },
  "CAP_34130e54": {
   "en": "Milestone Visual Prompt Generation",
   "zh": "里程碑视觉提示生成",
   "level": "l3"
  },
  "CAP_ab06e1cb": {
   "en": "Video Subgoal Generation",
   "zh": "视频子目标生成",
   "level": "l3"
  },
  "CAP_3bb39706": {
   "en": "Image Editing Subgoal Synthesis",
   "zh": "图像编辑子目标合成",
   "level": "l3"
  },
  "CAP_126440e3": {
   "en": "Inverse Dynamics Action Extraction",
   "zh": "逆动力学动作提取",
   "level": "l3"
  },
  "CAP_6d8c5bdb": {
   "en": "Deviation Monitoring and Replan Trigger",
   "zh": "偏差监控与重规划触发",
   "level": "l3"
  },
  "CAP_763a8cac": {
   "en": "Milestone Parsing and Skill Mapping",
   "zh": "里程碑解析与技能映射",
   "level": "l2"
  },
  "CAP_23b57693": {
   "en": "Code Generation and Verification",
   "zh": "代码生成与验证",
   "level": "l2"
  },
  "CAP_bbb21638": {
   "en": "Deployment and Monitoring",
   "zh": "部署与监控",
   "level": "l2"
  },
  "CAP_585be01e": {
   "en": "Milestone Sequence Parsing",
   "zh": "里程碑序列解析",
   "level": "l3"
  },
  "CAP_32b0b5e9": {
   "en": "Skill Mapping and Parameter Binding",
   "zh": "技能映射与参数绑定",
   "level": "l3"
  },
  "CAP_24ecf9f4": {
   "en": "Milestone to StateMachine CodeGen",
   "zh": "里程碑到状态机代码生成",
   "level": "l3"
  },
  "CAP_17022d78": {
   "en": "Skill Sequence to BehaviorTree CodeGen",
   "zh": "技能序列到行为树代码生成",
   "level": "l3"
  },
  "CAP_0138f8ba": {
   "en": "Generated Code Static Validator",
   "zh": "生成代码静态验证器",
   "level": "l3"
  },
  "CAP_170d98c6": {
   "en": "State Machine Sandbox Executor",
   "zh": "状态机沙箱执行器",
   "level": "l3"
  },
  "CAP_9ae1e6b6": {
   "en": "Deployment and Runtime Monitoring",
   "zh": "部署与运行时监控",
   "level": "l3"
  },
  "CAP_640141e8": {
   "en": "Task Space Keypoint Extraction",
   "zh": "任务空间关键点提取",
   "level": "l2"
  },
  "CAP_588d154a": {
   "en": "Keypoint Extraction",
   "zh": "关键点提取",
   "level": "l3"
  },
  "CAP_2c924860": {
   "en": "Minimum Jerk Trajectory Generation",
   "zh": "最小加加速度轨迹生成",
   "level": "l2"
  },
  "CAP_2711a181": {
   "en": "Minimum Jerk Cartesian Trajectory",
   "zh": "笛卡尔空间最小加加速度轨迹",
   "level": "l3"
  },
  "CAP_049e48c8": {
   "en": "Minimum Jerk Orientation Planner",
   "zh": "姿态最小加加速度规划",
   "level": "l3"
  },
  "CAP_a4584b2d": {
   "en": "Minimum Jerk Dual Arm Coordinator",
   "zh": "双臂协调最小加加速度",
   "level": "l3"
  },
  "CAP_6daab252": {
   "en": "Coordination Mode Decision",
   "zh": "协调模式判断",
   "level": "l3"
  },
  "CAP_6b478637": {
   "en": "Inverse Kinematics and Joint Space Optimization",
   "zh": "逆运动学与关节空间优化",
   "level": "l2"
  },
  "CAP_24a78d51": {
   "en": "Minimum Jerk Joint Space Optimizer",
   "zh": "关节空间最小加加速度优化",
   "level": "l3"
  },
  "CAP_cbeea2b4": {
   "en": "Trajectory Tracking and Online Replanning",
   "zh": "轨迹跟踪与在线重规划",
   "level": "l2"
  },
  "CAP_e33d11d3": {
   "en": "Minimum Jerk Online Replanner",
   "zh": "在线最小加加速度重规划",
   "level": "l3"
  },
  "CAP_220b965e": {
   "en": "Replanning Trigger Detection",
   "zh": "重规划触发检测",
   "level": "l3"
  },
  "CAP_b44989e4": {
   "en": "Dynamic Interaction Scene Understanding",
   "zh": "动态交互场景理解",
   "level": "l2"
  },
  "CAP_e402c4a8": {
   "en": "Multi-modal Interaction Prediction",
   "zh": "多模态交互意图预测",
   "level": "l3"
  },
  "CAP_a61573f4": {
   "en": "Frenet Decoupling and ST Graph Construction",
   "zh": "Frenet解耦与S-T图构建",
   "level": "l2"
  },
  "CAP_17e70171": {
   "en": "Frenet SL Coordinate Conversion and ST Graph Construction",
   "zh": "Frenet坐标转换与S-T图构建",
   "level": "l3"
  },
  "CAP_600bce47": {
   "en": "Jerk Optimal Trajectory Generation and Validation",
   "zh": "最小Jerk轨迹生成与校验",
   "level": "l2"
  },
  "CAP_79342aac": {
   "en": "Frenet Jerk Optimal Speed Planning",
   "zh": "Frenet最小Jerk速度规划",
   "level": "l3"
  },
  "CAP_d082a863": {
   "en": "Lateral Jerk Constrained Curve Speed",
   "zh": "横向Jerk约束弯道速度优化",
   "level": "l3"
  },
  "CAP_dcb55020": {
   "en": "Multi-modal Prediction Aware Jerk Planning",
   "zh": "多模态预测感知的最小Jerk规划",
   "level": "l3"
  },
  "CAP_fac36efc": {
   "en": "Trajectory Composition and Collision Checking",
   "zh": "轨迹合成与碰撞校验",
   "level": "l3"
  },
  "CAP_27fa9658": {
   "en": "Comfort MSI Evaluator",
   "zh": "舒适性MSI评估器",
   "level": "l3"
  },
  "CAP_72151507": {
   "en": "Adaptive Jerk Bound Urgency Driven",
   "zh": "紧迫度驱动的自适应Jerk上限",
   "level": "l3"
  },
  "CAP_13ae82e7": {
   "en": "Emergency Braking Trajectory Generation",
   "zh": "紧急制动轨迹生成",
   "level": "l3"
  },
  "CAP_77fc3086": {
   "en": "Trajectory Publishing and Handoff",
   "zh": "轨迹发布与移交",
   "level": "l3"
  },
  "CAP_d6de17c6": {
   "en": "Demonstration Acquisition and Preprocessing Stage",
   "zh": "示教采集与预处理阶段",
   "level": "l2"
  },
  "CAP_d48ae97f": {
   "en": "Trajectory Acquisition and Preprocessing",
   "zh": "示教轨迹采集与预处理",
   "level": "l3"
  },
  "CAP_60816113": {
   "en": "MinJerk Trajectory Fitting Stage",
   "zh": "最小加加速度轨迹拟合阶段",
   "level": "l2"
  },
  "CAP_4bdd709b": {
   "en": "MinJerk Trajectory Fitting",
   "zh": "最小加加速度轨迹拟合",
   "level": "l3"
  },
  "CAP_84880cdc": {
   "en": "DMP Encoding Stage",
   "zh": "DMP编码阶段",
   "level": "l2"
  },
  "CAP_ecbfdf9a": {
   "en": "DMP Encoding From MinJerk",
   "zh": "基于最小加加速度的DMP编码",
   "level": "l3"
  },
  "CAP_c7212301": {
   "en": "Task Parameter Generalization Stage",
   "zh": "任务参数泛化阶段",
   "level": "l2"
  },
  "CAP_236d20ea": {
   "en": "Generalization Mode Decision",
   "zh": "泛化模式决策",
   "level": "l3"
  },
  "CAP_9ef9fac3": {
   "en": "DMP Goal Generalization",
   "zh": "DMP目标泛化",
   "level": "l3"
  },
  "CAP_b57522e6": {
   "en": "DMP SpatioTemporal Generalization",
   "zh": "DMP时空泛化",
   "level": "l3"
  },
  "CAP_069ed3cf": {
   "en": "DMP Coupling Term For Obstacle Avoidance",
   "zh": "DMP障碍物规避耦合项",
   "level": "l3"
  },
  "CAP_fc70e3bb": {
   "en": "Trajectory Generation and Execution Stage",
   "zh": "轨迹生成与执行阶段",
   "level": "l2"
  },
  "CAP_356866a5": {
   "en": "DMP Rollout and Trajectory Execution",
   "zh": "DMP积分与轨迹执行",
   "level": "l3"
  },
  "CAP_496b9f6b": {
   "en": "Heterogeneous Task Decomposition and Matching",
   "zh": "异构任务分解与能力匹配",
   "level": "l2"
  },
  "CAP_02f42d67": {
   "en": "Heterogeneous Multi-Robot Path Planning",
   "zh": "多机器人路径规划与冲突消解",
   "level": "l2"
  },
  "CAP_ed027944": {
   "en": "Heterogeneous MAPF with Kinematic Constraints",
   "zh": "带运动学约束的异构多智能体路径规划",
   "level": "l3"
  },
  "CAP_6517ad2d": {
   "en": "Closed-loop Rescheduling and Execution Monitoring",
   "zh": "闭环重调度与执行监控",
   "level": "l2"
  },
  "CAP_9f542315": {
   "en": "Incremental Rescheduling with Event Trigger",
   "zh": "事件触发的增量式重调度",
   "level": "l3"
  },
  "CAP_17f10040": {
   "en": "MARL Environment Modeling and Policy Design",
   "zh": "MARL 环境建模与策略网络设计",
   "level": "l2"
  },
  "CAP_52f1161a": {
   "en": "CTDE Training and Curriculum Learning",
   "zh": "集中式训练与课程学习",
   "level": "l2"
  },
  "CAP_dd7bd433": {
   "en": "Heterogeneous MARL Environment",
   "zh": "异构多智能体强化学习环境",
   "level": "l3"
  },
  "CAP_0ead02cd": {
   "en": "Heterogeneous Actor-Critic Network",
   "zh": "异构 Actor-Critic 网络",
   "level": "l3"
  },
  "CAP_cef30203": {
   "en": "CTDE Trainer",
   "zh": "集中式训练分散式执行训练器",
   "level": "l3"
  },
  "CAP_90b97120": {
   "en": "Curriculum Scheduler",
   "zh": "课程学习调度器",
   "level": "l3"
  },
  "CAP_1677c193": {
   "en": "LLM Semantic Perception and Understanding",
   "zh": "LLM语义感知与理解",
   "level": "l2"
  },
  "CAP_c9dcd75a": {
   "en": "LLM Strategic Scheduling Planning",
   "zh": "LLM战略调度规划",
   "level": "l2"
  },
  "CAP_5c8572dc": {
   "en": "Human-LLM Collaborative Decision Making",
   "zh": "人机LLM协同决策",
   "level": "l2"
  },
  "CAP_ad8aab14": {
   "en": "Semantic Execution Monitoring and Rescheduling",
   "zh": "语义执行监控与重调度",
   "level": "l2"
  },
  "CAP_bce1b75e": {
   "en": "LLM Context-Aware Plan Generation",
   "zh": "LLM上下文感知计划生成",
   "level": "l3"
  },
  "CAP_a0646d3d": {
   "en": "Explainable Scheduling Decision",
   "zh": "可解释调度决策",
   "level": "l3"
  },
  "CAP_339d76a7": {
   "en": "Semantic Anomaly Monitoring and Rescheduling",
   "zh": "语义异常监控与重调度",
   "level": "l3"
  },
  "CAP_0cdaf276": {
   "en": "Mapping and Localization",
   "zh": "建图与定位",
   "level": "l2"
  },
  "CAP_2bdedf4c": {
   "en": "Path Planning",
   "zh": "路径规划",
   "level": "l2"
  },
  "CAP_6fb2cd5e": {
   "en": "Motion Control",
   "zh": "运动控制",
   "level": "l2"
  },
  "CAP_31e2b030": {
   "en": "2D Laser SLAM Mapping (Gmapping)",
   "zh": "2D激光SLAM建图",
   "level": "l3"
  },
  "CAP_9ba5f143": {
   "en": "Occupancy Grid Map Persistence",
   "zh": "占据栅格地图持久化",
   "level": "l3"
  },
  "CAP_a740421c": {
   "en": "Costmap 2D Layered Management",
   "zh": "2D代价地图分层管理",
   "level": "l3"
  },
  "CAP_95120642": {
   "en": "End-to-End Imitation Learning Model Development",
   "zh": "端到端模仿学习模型开发",
   "level": "l2"
  },
  "CAP_690296c6": {
   "en": "Real-time Learned Policy Inference and Safety",
   "zh": "实时学习策略推理与安全执行",
   "level": "l2"
  },
  "CAP_f4359d53": {
   "en": "Sensor Data Augmentation and Normalization",
   "zh": "传感器数据增强与归一化",
   "level": "l3"
  },
  "CAP_9a3778aa": {
   "en": "Policy Network Architecture Design",
   "zh": "策略网络架构设计",
   "level": "l3"
  },
  "CAP_bc49e6bd": {
   "en": "DAgger Online Adaptation",
   "zh": "DAgger在线自适应",
   "level": "l3"
  },
  "CAP_4e2f32a0": {
   "en": "Online Sensor Preprocessing and Feature Extraction",
   "zh": "在线传感器预处理与特征提取",
   "level": "l3"
  },
  "CAP_d8f5c1ed": {
   "en": "IL Static Obstacle Avoidance",
   "zh": "静态障碍物模仿学习避障",
   "level": "l3"
  },
  "CAP_c9270d8a": {
   "en": "IL Dynamic Obstacle Avoidance",
   "zh": "动态障碍物模仿学习避障",
   "level": "l3"
  },
  "CAP_ee99f308": {
   "en": "IL Goal-Conditioned Avoidance",
   "zh": "目标条件躲避",
   "level": "l3"
  },
  "CAP_4e8f9789": {
   "en": "IL Multimodal Fusion Avoidance",
   "zh": "多模态融合躲避",
   "level": "l3"
  },
  "CAP_94035b5c": {
   "en": "Chassis Velocity Command Dispatch",
   "zh": "底盘速度指令下发",
   "level": "l3"
  },
  "CAP_acc81e74": {
   "en": "Whole-Body Task Planning",
   "zh": "全身任务规划",
   "level": "l2"
  },
  "CAP_680fce48": {
   "en": "Whole-Body Task Constraint Generation",
   "zh": "全身任务约束生成",
   "level": "l3"
  },
  "CAP_81f1e0fd": {
   "en": "Whole-Body Motion Control",
   "zh": "全身运动控制",
   "level": "l2"
  },
  "CAP_e9dd303f": {
   "en": "Whole-Body IK QP Solver",
   "zh": "全身逆运动学QP求解器",
   "level": "l3"
  },
  "CAP_d0dde99f": {
   "en": "Dual-Arm Load Estimation",
   "zh": "双臂负载估计",
   "level": "l3"
  },
  "CAP_f4213a7d": {
   "en": "Whole-Body State Estimation",
   "zh": "全身状态估计",
   "level": "l2"
  },
  "CAP_62bdb767": {
   "en": "Mobile Dual-Arm State Estimation",
   "zh": "移动双臂状态估计",
   "level": "l3"
  },
  "CAP_fcb02550": {
   "en": "Data Collection and Augmentation for Teleoperation",
   "zh": "遥操作数据采集与增强",
   "level": "l2"
  },
  "CAP_cd455af6": {
   "en": "Imitation Learning Policy Training and Deployment",
   "zh": "模仿学习策略训练与部署",
   "level": "l2"
  },
  "CAP_a830b86c": {
   "en": "Bimanual Teleoperation Data Collection",
   "zh": "双臂遥操作数据采集",
   "level": "l3"
  },
  "CAP_a59fe891": {
   "en": "Mobile Base Coordinated Teleoperation",
   "zh": "移动底盘协调遥操作",
   "level": "l3"
  },
  "CAP_c634cd87": {
   "en": "Teleoperation Data Augmentation Pipeline",
   "zh": "遥操作数据增强管线",
   "level": "l3"
  },
  "CAP_952733c2": {
   "en": "Bimanual Action Chunking Policy",
   "zh": "双臂动作分块策略",
   "level": "l3"
  },
  "CAP_8fecfe28": {
   "en": "Diffusion Bimanual Policy",
   "zh": "扩散双臂策略",
   "level": "l3"
  },
  "CAP_1c833d18": {
   "en": "Scene Understanding and Instruction Parsing",
   "zh": "场景理解与指令解析",
   "level": "l2"
  },
  "CAP_9cd7d0c2": {
   "en": "Mobile Reachability Analysis",
   "zh": "移动可达性分析",
   "level": "l2"
  },
  "CAP_f41a1853": {
   "en": "Mobile Reachability Inference",
   "zh": "移动可达性推理",
   "level": "l3"
  },
  "CAP_f804515d": {
   "en": "Mobile Base Path Planning",
   "zh": "移动底盘路径规划",
   "level": "l3"
  },
  "CAP_ba96e445": {
   "en": "Whole-Body Coordinated Motion Generation",
   "zh": "全身协调运动生成",
   "level": "l2"
  },
  "CAP_d303d284": {
   "en": "Whole-Body MPC for Pick",
   "zh": "面向抓取的全身模型预测控制",
   "level": "l3"
  },
  "CAP_53771c83": {
   "en": "VLA Mobile Pick",
   "zh": "视觉-语言-动作移动抓取",
   "level": "l3"
  },
  "CAP_4f0627fe": {
   "en": "Grasp Execution and Closed-Loop Adjustment",
   "zh": "抓取执行与闭环调整",
   "level": "l2"
  },
  "CAP_7bcca1c8": {
   "en": "Mobile Grasp Stability Assessment",
   "zh": "移动抓取稳定性评估",
   "level": "l3"
  },
  "CAP_64657410": {
   "en": "Scene Perception and Object Localization Stage",
   "zh": "场景感知与物体定位阶段",
   "level": "l2"
  },
  "CAP_2bb26de7": {
   "en": "RGB-D Object Detection and 6D Pose Estimation",
   "zh": "RGB-D场景感知与物体6D位姿估计",
   "level": "l3"
  },
  "CAP_8579086b": {
   "en": "Base Reachability Pose Generation Stage",
   "zh": "基座可达位姿生成阶段",
   "level": "l2"
  },
  "CAP_d7dec50a": {
   "en": "Inverse Reachability Query",
   "zh": "逆可达性地图查询",
   "level": "l3"
  },
  "CAP_26c38958": {
   "en": "Base Navigation Execution Stage",
   "zh": "基座导航执行阶段",
   "level": "l2"
  },
  "CAP_604dd946": {
   "en": "Base Navigation with Pose Constraint",
   "zh": "带位姿约束的底盘导航执行",
   "level": "l3"
  },
  "CAP_39847f80": {
   "en": "Static Base Grasp Planning Stage",
   "zh": "固定基座抓取规划阶段",
   "level": "l2"
  },
  "CAP_2991e765": {
   "en": "Fixed-base Grasp Pose Generation",
   "zh": "固定基座抓取姿态生成",
   "level": "l3"
  },
  "CAP_83de5527": {
   "en": "Grasp Execution and Retry Coordination Stage",
   "zh": "抓取执行与重试协调阶段",
   "level": "l2"
  },
  "CAP_105c7e00": {
   "en": "Grasp Execution with Base Adjustment Retry",
   "zh": "带基座微调重试的抓取执行与验证",
   "level": "l3"
  },
  "CAP_5162d5a6": {
   "en": "Optimization Problem Formulation Stage",
   "zh": "优化问题构建阶段",
   "level": "l2"
  },
  "CAP_8d21bc6a": {
   "en": "Optimization Problem Construction",
   "zh": "优化问题构建",
   "level": "l3"
  },
  "CAP_24c5b70d": {
   "en": "Joint Base-Arm Configuration Optimization Stage",
   "zh": "联合基座-臂配置优化阶段",
   "level": "l2"
  },
  "CAP_4decfd98": {
   "en": "Joint Base-Arm Configuration Optimization",
   "zh": "联合基座-臂配置优化",
   "level": "l3"
  },
  "CAP_7b5ffb2d": {
   "en": "Solution Robustness Evaluation Stage",
   "zh": "解鲁棒性评估阶段",
   "level": "l2"
  },
  "CAP_eebd9c9c": {
   "en": "Base Reachability Verification Stage",
   "zh": "基座可达性验证阶段",
   "level": "l2"
  },
  "CAP_fc46dadd": {
   "en": "Base Reachability Verification",
   "zh": "基座可达性验证",
   "level": "l3"
  },
  "CAP_13cc4058": {
   "en": "Multimodal Perception and Encoding Stage",
   "zh": "多模态感知与编码阶段",
   "level": "l2"
  },
  "CAP_571f2fb4": {
   "en": "Joint Action Space Reasoning Stage",
   "zh": "联合动作空间推理阶段",
   "level": "l2"
  },
  "CAP_3ff1c3ea": {
   "en": "Action Execution and Closed-Loop Feedback Stage",
   "zh": "动作执行与闭环反馈阶段",
   "level": "l2"
  },
  "CAP_847d8d98": {
   "en": "Shared Vision-Language Encoding",
   "zh": "共享视觉-语言编码",
   "level": "l3"
  },
  "CAP_06f64970": {
   "en": "End-to-End Joint Action Generation",
   "zh": "端到端联合动作生成",
   "level": "l3"
  },
  "CAP_cf85158e": {
   "en": "Language-Conditioned Grasp Understanding",
   "zh": "语言条件抓取理解",
   "level": "l3"
  },
  "CAP_1c31e22b": {
   "en": "Low-Level Control Execution",
   "zh": "底层控制执行",
   "level": "l3"
  },
  "CAP_b0d0df75": {
   "en": "Observation Update and Loop Closure",
   "zh": "观测更新与闭环",
   "level": "l3"
  },
  "CAP_4f07dd3e": {
   "en": "Task Specification and Perception",
   "zh": "任务指定与感知",
   "level": "l2"
  },
  "CAP_bbdf5e98": {
   "en": "Base Placement Optimization",
   "zh": "底盘停靠点优化",
   "level": "l2"
  },
  "CAP_3311e5fd": {
   "en": "Navigation Planning",
   "zh": "导航路径规划",
   "level": "l2"
  },
  "CAP_50ff0e2b": {
   "en": "Base Motion Execution",
   "zh": "底盘运动执行",
   "level": "l2"
  },
  "CAP_87354e24": {
   "en": "Arm Manipulation Execution",
   "zh": "机械臂操作执行",
   "level": "l2"
  },
  "CAP_a33a3d67": {
   "en": "Capability Map Construction",
   "zh": "能力图构建",
   "level": "l2"
  },
  "CAP_d6ca6df7": {
   "en": "Multi-Target Capability Query",
   "zh": "多目标能力图查询",
   "level": "l2"
  },
  "CAP_9a7f6168": {
   "en": "Object 6D Pose Estimation",
   "zh": "目标物体6D位姿估计",
   "level": "l3"
  },
  "CAP_457f0ef0": {
   "en": "Capability Map Online Query",
   "zh": "能力图在线查询",
   "level": "l3"
  },
  "CAP_02893934": {
   "en": "Capability Map Base Placement Optimization",
   "zh": "能力图底盘停靠点优化",
   "level": "l3"
  },
  "CAP_157eb67e": {
   "en": "Mobile Base Global Path Planning",
   "zh": "移动底盘全局路径规划",
   "level": "l3"
  },
  "CAP_17c07a94": {
   "en": "Mobile Base Path Following",
   "zh": "移动底盘路径跟随",
   "level": "l3"
  },
  "CAP_09757cfc": {
   "en": "Manipulator Motion Planning and Execution",
   "zh": "机械臂运动规划与执行",
   "level": "l3"
  },
  "CAP_f03b9cc1": {
   "en": "Capability Map Offline Building",
   "zh": "能力图离线构建",
   "level": "l3"
  },
  "CAP_fce73ea8": {
   "en": "Capability Map Multi-Target Intersection",
   "zh": "能力图多目标交集查询",
   "level": "l3"
  },
  "CAP_d4253949": {
   "en": "Whole-body State Estimation and Reference Generation",
   "zh": "全身状态估计与参考轨迹生成",
   "level": "l2"
  },
  "CAP_7488a738": {
   "en": "Whole-body Optimal Control and Solving",
   "zh": "全身最优控制问题构建与求解",
   "level": "l2"
  },
  "CAP_b8876bf4": {
   "en": "Whole-body Command Execution and Safety",
   "zh": "全身控制指令下发与安全执行",
   "level": "l2"
  },
  "CAP_6531fee6": {
   "en": "Whole-body Trajectory Smoothing",
   "zh": "全身参考轨迹平滑",
   "level": "l3"
  },
  "CAP_748701fd": {
   "en": "Safe Command Degradation",
   "zh": "安全指令降级",
   "level": "l3"
  },
  "CAP_baac900d": {
   "en": "Multimodal Context Processing",
   "zh": "多模态上下文处理",
   "level": "l2"
  },
  "CAP_2c3adb83": {
   "en": "Implicit State Management",
   "zh": "隐式状态管理",
   "level": "l2"
  },
  "CAP_99a58c5a": {
   "en": "Implicit State Estimation",
   "zh": "隐式状态估计",
   "level": "l3"
  },
  "CAP_721c88d1": {
   "en": "Modality Utility and Uncertainty Handling",
   "zh": "模态效用与不确定性处理",
   "level": "l2"
  },
  "CAP_8b9c7be0": {
   "en": "Modality Utility Estimation",
   "zh": "模态效用估计",
   "level": "l3"
  },
  "CAP_6a4a6e7d": {
   "en": "Uncertainty Aware Active Query",
   "zh": "不确定性感知主动查询",
   "level": "l3"
  },
  "CAP_40b474f2": {
   "en": "Modality Blending Control",
   "zh": "模态混合控制",
   "level": "l2"
  },
  "CAP_6ee6e99a": {
   "en": "Soft Modality Routing",
   "zh": "软模态路由",
   "level": "l3"
  },
  "CAP_3a150198": {
   "en": "Feedback Driven Adaptation",
   "zh": "反馈驱动适配",
   "level": "l2"
  },
  "CAP_7a78b28b": {
   "en": "Feedback Driven State Refinement",
   "zh": "反馈驱动状态精炼",
   "level": "l3"
  },
  "CAP_c6f55ba2": {
   "en": "Perception and Context Encoding",
   "zh": "感知与上下文编码",
   "level": "l2"
  },
  "CAP_acceb739": {
   "en": "Gating and Activation",
   "zh": "门控与模态激活",
   "level": "l2"
  },
  "CAP_75367c7a": {
   "en": "Modality Quality Estimation",
   "zh": "模态质量估计",
   "level": "l3"
  },
  "CAP_e45efe2d": {
   "en": "Context Encoding for Modality Selection",
   "zh": "面向模态选择的上下文编码",
   "level": "l3"
  },
  "CAP_ac5ee1b0": {
   "en": "Conditional Mutual Information Estimation",
   "zh": "条件互信息估计",
   "level": "l3"
  },
  "CAP_051be071": {
   "en": "Explicit Gating Decision",
   "zh": "显式门控决策",
   "level": "l3"
  },
  "CAP_54ec199d": {
   "en": "Modality Activation and Feedback",
   "zh": "模态激活与反馈",
   "level": "l3"
  },
  "CAP_72158d78": {
   "en": "Task Distribution Management",
   "zh": "任务分布管理",
   "level": "l2"
  },
  "CAP_9b0426b4": {
   "en": "Meta Test Evaluation",
   "zh": "元测试评估",
   "level": "l2"
  },
  "CAP_9068c0a2": {
   "en": "Task Distribution Sampler",
   "zh": "任务分布采样器",
   "level": "l3"
  },
  "CAP_c62c5a59": {
   "en": "MAML Outer Loop Meta Update",
   "zh": "MAML 外循环元更新",
   "level": "l3"
  },
  "CAP_acbd1ee5": {
   "en": "FOMAML First Order Approximation",
   "zh": "FOMAML 一阶近似",
   "level": "l3"
  },
  "CAP_1ca68c92": {
   "en": "Meta Test Rapid Adaptation",
   "zh": "元测试快速适应",
   "level": "l3"
  },
  "CAP_368538ed": {
   "en": "Meta-Update Mode Selection",
   "zh": "元更新模式选择",
   "level": "l3"
  },
  "CAP_a4cec20c": {
   "en": "Probabilistic Meta Training",
   "zh": "概率元训练",
   "level": "l2"
  },
  "CAP_fa8b562e": {
   "en": "Bayesian Fast Adaptation",
   "zh": "贝叶斯快速适应",
   "level": "l2"
  },
  "CAP_fc663be7": {
   "en": "Risk Aware Decision",
   "zh": "风险感知决策",
   "level": "l2"
  },
  "CAP_b5903fc4": {
   "en": "Prob Meta Train",
   "zh": "概率元训练",
   "level": "l3"
  },
  "CAP_0752dc76": {
   "en": "Bayesian Fast Adapt",
   "zh": "贝叶斯快速适应",
   "level": "l3"
  },
  "CAP_b19a4c58": {
   "en": "Prob Meta Calibration",
   "zh": "概率元学习不确定性校准",
   "level": "l3"
  },
  "CAP_f18b96b5": {
   "en": "Probabilistic Meta Calibration",
   "zh": "概率元校准",
   "level": "l2"
  },
  "CAP_a435987f": {
   "en": "Cross-modal Alignment and Completion",
   "zh": "跨模态对齐与补全",
   "level": "l2"
  },
  "CAP_b6e64bcf": {
   "en": "Multimodal MAML Adaptation",
   "zh": "多模态MAML适应",
   "level": "l2"
  },
  "CAP_eee4d9c7": {
   "en": "Unimodal Feature Encoding",
   "zh": "模态特定特征编码",
   "level": "l3"
  },
  "CAP_da9c4166": {
   "en": "Modal Completion",
   "zh": "模态补全",
   "level": "l3"
  },
  "CAP_7dda855a": {
   "en": "Cross-modal Task Embedding",
   "zh": "跨模态任务嵌入",
   "level": "l3"
  },
  "CAP_12e547f2": {
   "en": "Multimodal MAML Inner Loop",
   "zh": "多模态MAML内循环",
   "level": "l3"
  },
  "CAP_a6b3270c": {
   "en": "Uncertainty-Aware Forward Prediction",
   "zh": "不确定性感知预测",
   "level": "l3"
  },
  "CAP_11d25377": {
   "en": "Randomized Rigid Body Simulation Setup",
   "zh": "随机化刚体仿真环境构建",
   "level": "l3"
  },
  "CAP_4052d86f": {
   "en": "Rigid Body Policy Learning and Data Augmentation",
   "zh": "刚体策略学习与数据增强",
   "level": "l2"
  },
  "CAP_6fdd541e": {
   "en": "Sim-to-Real Deployment and Adaptation",
   "zh": "仿真到现实部署与自适应优化",
   "level": "l2"
  },
  "CAP_43f19d4e": {
   "en": "Physics Param Distribution Design",
   "zh": "物理参数分布设计",
   "level": "l3"
  },
  "CAP_8bb780fe": {
   "en": "Rigid Body Simulation Environment Construction",
   "zh": "刚体仿真环境构建",
   "level": "l3"
  },
  "CAP_a40d9e3f": {
   "en": "Rigid Body Dynamics Randomization Training",
   "zh": "刚体动力学随机化训练",
   "level": "l3"
  },
  "CAP_c0b4d5f9": {
   "en": "Sim Data Augmentation Pipeline",
   "zh": "仿真数据增强流水线",
   "level": "l3"
  },
  "CAP_f12ca395": {
   "en": "Contact Rich Manipulation Randomization",
   "zh": "接触密集型操作随机化",
   "level": "l3"
  },
  "CAP_7406a218": {
   "en": "Visual World Model Closed-Loop Imagination Augmentation",
   "zh": "视觉世界模型闭环想象增强",
   "level": "l3"
  },
  "CAP_759574fb": {
   "en": "Real Robot Data Collection for World Model Training",
   "zh": "真实机器人数据采集",
   "level": "l3"
  },
  "CAP_ee32662f": {
   "en": "Visual World Model Training",
   "zh": "视觉世界模型训练",
   "level": "l3"
  },
  "CAP_116b592b": {
   "en": "Closed-Loop Imagination Rollout",
   "zh": "闭环想象推演",
   "level": "l3"
  },
  "CAP_b7fd77b7": {
   "en": "Imagination Data Filtering",
   "zh": "想象数据过滤",
   "level": "l3"
  },
  "CAP_a086aebc": {
   "en": "Video Diffusion Imagination",
   "zh": "视频扩散想象",
   "level": "l3"
  },
  "CAP_eb147b2c": {
   "en": "Latent Imagination Policy Training",
   "zh": "潜空间想象策略训练",
   "level": "l3"
  },
  "CAP_2ba8bd10": {
   "en": "Real Perception Data Acquisition and Preprocessing",
   "zh": "真实感知数据采集与预处理",
   "level": "l2"
  },
  "CAP_baf72c04": {
   "en": "Multi-Sensor Perception Data Collection and Calibration",
   "zh": "多传感器感知数据采集与标定",
   "level": "l3"
  },
  "CAP_f84a3441": {
   "en": "Gaussian Splatting Fast Reconstruction",
   "zh": "3D 高斯泼溅快速重建",
   "level": "l3"
  },
  "CAP_7c59525b": {
   "en": "Generative Texture and Lighting Enhancement",
   "zh": "生成式纹理与光照增强",
   "level": "l2"
  },
  "CAP_7589b425": {
   "en": "Diffusion Texture Editing",
   "zh": "扩散模型纹理编辑",
   "level": "l3"
  },
  "CAP_07689dc5": {
   "en": "Relightable Rendering",
   "zh": "可重光照渲染",
   "level": "l3"
  },
  "CAP_f17eccad": {
   "en": "Domain Randomization and Data Generation",
   "zh": "域随机化与数据生成",
   "level": "l2"
  },
  "CAP_f02b247c": {
   "en": "Batch Rendering and Annotation Generation",
   "zh": "批量渲染与标注生成",
   "level": "l3"
  },
  "CAP_fdb5497e": {
   "en": "Perceptual Data Quality Validation and Closed-Loop",
   "zh": "感知数据质量验证与闭环",
   "level": "l2"
  },
  "CAP_7d68cdac": {
   "en": "Perceptual Quality Filtering",
   "zh": "感知质量过滤",
   "level": "l3"
  },
  "CAP_dffc6582": {
   "en": "Closed-Loop Generation Parameter Adjustment",
   "zh": "闭环生成参数调整",
   "level": "l3"
  },
  "CAP_1e2e5681": {
   "en": "Data Preparation and Feature Extraction",
   "zh": "数据准备与特征提取",
   "level": "l2"
  },
  "CAP_481535fe": {
   "en": "Correspondence Search and Hybrid Optimization",
   "zh": "对应搜索与混合优化",
   "level": "l2"
  },
  "CAP_5335f69a": {
   "en": "Convergence Monitoring and Failure Handling",
   "zh": "收敛监控与异常处理",
   "level": "l2"
  },
  "CAP_6f7b0b6a": {
   "en": "Sparse Model Edge Extraction",
   "zh": "稀疏模型边缘提取",
   "level": "l3"
  },
  "CAP_86a5af86": {
   "en": "Edge Projection Correspondence Search",
   "zh": "边缘投影对应搜索",
   "level": "l3"
  },
  "CAP_66bfe014": {
   "en": "Hybrid Edge ICP Optimization",
   "zh": "混合边缘ICP优化",
   "level": "l3"
  },
  "CAP_18cc525a": {
   "en": "Adaptive Weight Scheduling",
   "zh": "自适应权重调度",
   "level": "l3"
  },
  "CAP_1e242d8c": {
   "en": "Convergence Failure Detection",
   "zh": "收敛失败检测",
   "level": "l3"
  },
  "CAP_bbea00d5": {
   "en": "Probabilistic Dense Alignment",
   "zh": "概率稠密对齐",
   "level": "l2"
  },
  "CAP_143374bc": {
   "en": "Probabilistic Model Rendering",
   "zh": "概率模型渲染",
   "level": "l3"
  },
  "CAP_56bda618": {
   "en": "GMM Density Estimation for Tracking",
   "zh": "跟踪用GMM密度估计",
   "level": "l3"
  },
  "CAP_928a79d6": {
   "en": "Surface Region Partitioning",
   "zh": "表面区域划分",
   "level": "l3"
  },
  "CAP_bd30b0c8": {
   "en": "Region Statistical Distance",
   "zh": "区域统计距离",
   "level": "l3"
  },
  "CAP_989f5e44": {
   "en": "Wasserstein Pose Optimization",
   "zh": "Wasserstein位姿优化",
   "level": "l3"
  },
  "CAP_d76fbe00": {
   "en": "Multi-Region Consistency Validation",
   "zh": "多区域一致性检验",
   "level": "l3"
  },
  "CAP_9b2add22": {
   "en": "Dynamics Residual Calibration",
   "zh": "动力学残差校准",
   "level": "l2"
  },
  "CAP_8d10335c": {
   "en": "Physics-Prior Dynamics Modeling",
   "zh": "物理先验动力学建模",
   "level": "l2"
  },
  "CAP_2ff0ce17": {
   "en": "Residual Force NN Compensation",
   "zh": "残差力神经网络补偿",
   "level": "l3"
  },
  "CAP_6feafda9": {
   "en": "Online Adaptive Residual Compensation",
   "zh": "在线自适应残差补偿",
   "level": "l3"
  },
  "CAP_cee624e5": {
   "en": "Residual Data Acquisition",
   "zh": "残差数据采集",
   "level": "l3"
  },
  "CAP_0b00da4f": {
   "en": "Residual Calibration & Fidelity",
   "zh": "残差标定与保真度",
   "level": "l2"
  },
  "CAP_aff15a53": {
   "en": "System Identification Calibration",
   "zh": "系统辨识物理参数校准",
   "level": "l3"
  },
  "CAP_05f961d6": {
   "en": "Twin-Real Fidelity Calibration",
   "zh": "孪生-真机保真度校准",
   "level": "l3"
  },
  "CAP_b295c812": {
   "en": "Twin Fidelity Calibration",
   "zh": "数字孪生保真度校准",
   "level": "l2"
  },
  "CAP_f67f9335": {
   "en": "Rigid-Body Forward/Inverse Dynamics",
   "zh": "刚体正逆动力学",
   "level": "l3"
  },
  "CAP_56ac7cb1": {
   "en": "Quadrotor Simulation Data Collection",
   "zh": "四旋翼仿真飞行数据采集",
   "level": "l3"
  },
  "CAP_7f284253": {
   "en": "Rigid Body Dynamics Forward-Inverse Computation",
   "zh": "刚体动力学正逆计算",
   "level": "l3"
  },
  "CAP_e0b657e3": {
   "en": "Symbolic Prior Dynamics Closed-loop Benchmarking",
   "zh": "符号先验动力学闭环基准测试",
   "level": "l3"
  },
  "CAP_c342c651": {
   "en": "Simulation Data Collection",
   "zh": "仿真数据采集",
   "level": "l2"
  },
  "CAP_06069ac9": {
   "en": "Multimodal Perception and State Estimation",
   "zh": "多模态感知与状态估计",
   "level": "l2"
  },
  "CAP_88eb0742": {
   "en": "Cross-modal Registration and Body State Update",
   "zh": "跨模态虚实配准与本体状态更新",
   "level": "l2"
  },
  "CAP_dfd69125": {
   "en": "Multimodal Sensor Fusion and Sync",
   "zh": "多模态传感器融合与同步",
   "level": "l3"
  },
  "CAP_b0f0eb82": {
   "en": "Multimodal Feature Extraction and State Estimation",
   "zh": "多模态特征提取与状态估计",
   "level": "l3"
  },
  "CAP_03b6a02a": {
   "en": "Visual-Inertial Odometry for Manipulator",
   "zh": "机械臂视觉-惯性里程计",
   "level": "l3"
  },
  "CAP_fbd2b1a1": {
   "en": "Deformable Point Cloud Registration",
   "zh": "可变形点云配准",
   "level": "l3"
  },
  "CAP_8448111c": {
   "en": "Visual-LiDAR Global Localization",
   "zh": "视觉-激光雷达全局定位",
   "level": "l3"
  },
  "CAP_733d64c7": {
   "en": "Body State Anomaly Detection",
   "zh": "本体状态异常检测",
   "level": "l3"
  },
  "CAP_9f2a46c0": {
   "en": "Body State Update and Publishing",
   "zh": "本体状态更新与发布",
   "level": "l3"
  },
  "CAP_ffc6cdfc": {
   "en": "State Acquisition and Encoding",
   "zh": "状态获取与编码",
   "level": "l2"
  },
  "CAP_1a554529": {
   "en": "World Model Prediction",
   "zh": "世界模型预测",
   "level": "l2"
  },
  "CAP_b8ca2ecc": {
   "en": "Residual Calibration and Decision",
   "zh": "残差校准与决策",
   "level": "l2"
  },
  "CAP_5e5b28f0": {
   "en": "Action Safety Calibration",
   "zh": "行动安全校准",
   "level": "l2"
  },
  "CAP_3d722663": {
   "en": "Real-time State Acquisition",
   "zh": "实时状态获取",
   "level": "l3"
  },
  "CAP_1b144515": {
   "en": "State Encoding and Context Extraction",
   "zh": "状态编码与上下文提取",
   "level": "l3"
  },
  "CAP_dc859c58": {
   "en": "Online Residual Calibration",
   "zh": "在线残差校准",
   "level": "l3"
  },
  "CAP_4aef2779": {
   "en": "Residual Branch Decision",
   "zh": "残差分支决策",
   "level": "l3"
  },
  "CAP_3ffacfb9": {
   "en": "Safety Aware Action Modification",
   "zh": "安全行动校准与验证",
   "level": "l3"
  },
  "CAP_a2ccf654": {
   "en": "Online World Model Adaptation",
   "zh": "在线世界模型适应",
   "level": "l3"
  },
  "CAP_9445efc3": {
   "en": "Explicit System and Property Formalization",
   "zh": "显式系统与属性形式化",
   "level": "l3"
  },
  "CAP_d10d5c1b": {
   "en": "System Model Parser Kripke Structure",
   "zh": "系统模型编译（Kripke 结构）",
   "level": "l3"
  },
  "CAP_85e8d555": {
   "en": "LTL to Buchi Translation",
   "zh": "LTL 到 Büchi 自动机转换",
   "level": "l3"
  },
  "CAP_8835684d": {
   "en": "Explicit State Product Construction and Search",
   "zh": "显式同步积构造与搜索",
   "level": "l2"
  },
  "CAP_c76425e9": {
   "en": "Explicit State Product Construction",
   "zh": "显式同步积构造",
   "level": "l3"
  },
  "CAP_2f6b06e6": {
   "en": "Nested DFS Accepting Cycle Detection",
   "zh": "嵌套 DFS 可接受环检测",
   "level": "l3"
  },
  "CAP_cc297bd9": {
   "en": "Counterexample Generation and Result Output",
   "zh": "反例生成与结果输出",
   "level": "l2"
  },
  "CAP_abb07fbe": {
   "en": "Counterexample Path Reconstruction",
   "zh": "反例路径重构",
   "level": "l3"
  },
  "CAP_db2b17f0": {
   "en": "Verification Report Generation",
   "zh": "验证报告生成",
   "level": "l3"
  },
  "CAP_009d09a7": {
   "en": "Explicit State Space Reduction",
   "zh": "显式状态空间归约",
   "level": "l2"
  },
  "CAP_a3781169": {
   "en": "Partial Order Reduction Ample Set",
   "zh": "偏序归约充分集",
   "level": "l3"
  },
  "CAP_7fa4abc9": {
   "en": "Bitstate Hashing State Compression",
   "zh": "位态哈希状态压缩",
   "level": "l3"
  },
  "CAP_e06edc91": {
   "en": "Symbolic System Modeling and CTL Property Specification",
   "zh": "符号化系统建模与CTL属性规约",
   "level": "l2"
  },
  "CAP_1603fcb6": {
   "en": "CTL Bounded Semantics Unfolding",
   "zh": "CTL限界语义展开",
   "level": "l2"
  },
  "CAP_de942baa": {
   "en": "Symbolic Encoding to SAT-SMT",
   "zh": "符号化编码到SAT/SMT",
   "level": "l2"
  },
  "CAP_78fe8048": {
   "en": "SAT-SMT Solving and Counterexample Extraction",
   "zh": "SAT/SMT求解与反例提取",
   "level": "l2"
  },
  "CAP_3b4a06ed": {
   "en": "Bounded Verification Depth Selection",
   "zh": "限界验证深度选择",
   "level": "l3"
  },
  "CAP_38b196f3": {
   "en": "CTL Bounded Unfolding",
   "zh": "CTL限界展开",
   "level": "l3"
  },
  "CAP_9035513b": {
   "en": "Symbolic Encoding Backend Selection",
   "zh": "符号化编码后端选择",
   "level": "l3"
  },
  "CAP_8aea0ec1": {
   "en": "CTL to SAT Encoding",
   "zh": "CTL到SAT编码",
   "level": "l3"
  },
  "CAP_18faec32": {
   "en": "CTL to SMT Encoding",
   "zh": "CTL到SMT编码",
   "level": "l3"
  },
  "CAP_c0df6160": {
   "en": "Verification Result Classification",
   "zh": "验证结果分类",
   "level": "l3"
  },
  "CAP_cd901700": {
   "en": "CTL K-Induction Prover",
   "zh": "CTL K归纳证明器",
   "level": "l3"
  },
  "CAP_33265a26": {
   "en": "Probabilistic Modeling",
   "zh": "概率/混合系统建模",
   "level": "l3"
  },
  "CAP_de426276": {
   "en": "Probabilistic Property Specification",
   "zh": "概率时序安全性质规约",
   "level": "l3"
  },
  "CAP_e4cc719d": {
   "en": "Probabilistic Model Checking Engine",
   "zh": "概率模型检验引擎",
   "level": "l3"
  },
  "CAP_3b64c194": {
   "en": "Hybrid Reachability Analysis",
   "zh": "混合系统可达性分析",
   "level": "l2"
  },
  "CAP_08e954b7": {
   "en": "Neural Hybrid Verification",
   "zh": "神经符号闭环验证",
   "level": "l2"
  },
  "CAP_41cf6433": {
   "en": "Result Analysis and Reporting",
   "zh": "结果分析与报告生成",
   "level": "l2"
  },
  "CAP_1e83fa8c": {
   "en": "System Model Type Identification",
   "zh": "系统模型类型识别",
   "level": "l3"
  },
  "CAP_20c24653": {
   "en": "PRISM Reactive Modules Construction",
   "zh": "PRISM reactive modules 建模",
   "level": "l3"
  },
  "CAP_df7a6bd4": {
   "en": "SpaceEx Hybrid Automaton Modeling",
   "zh": "SpaceEx 混合自动机建模",
   "level": "l3"
  },
  "CAP_19b9980a": {
   "en": "Flow* ODE Modeling",
   "zh": "Flow* ODE 建模",
   "level": "l3"
  },
  "CAP_899a12c7": {
   "en": "PCTL Property Specification",
   "zh": "PCTL 性质规约",
   "level": "l3"
  },
  "CAP_3e431b6a": {
   "en": "CSL Property Specification",
   "zh": "CSL 性质规约",
   "level": "l3"
  },
  "CAP_85ad54fd": {
   "en": "Property Syntax and Type Checking",
   "zh": "性质语法与类型检查",
   "level": "l3"
  },
  "CAP_635695b8": {
   "en": "MTBDD Compilation",
   "zh": "MTBDD 编译",
   "level": "l3"
  },
  "CAP_be67f96d": {
   "en": "Sparse Transition Matrix Compilation",
   "zh": "稀疏转移矩阵编译",
   "level": "l3"
  },
  "CAP_6e3d738a": {
   "en": "Parametric Transition Matrix Compilation",
   "zh": "参数化转移矩阵编译",
   "level": "l3"
  },
  "CAP_6bcf225c": {
   "en": "Symbolic Probabilistic Model Checking",
   "zh": "符号化概率模型检验",
   "level": "l3"
  },
  "CAP_5c777328": {
   "en": "Sparse Probabilistic Model Checking",
   "zh": "稀疏概率模型检验",
   "level": "l3"
  },
  "CAP_6cdebc31": {
   "en": "Parametric Model Checking",
   "zh": "参数化模型检验",
   "level": "l3"
  },
  "CAP_4ea3f479": {
   "en": "MDP Scheduler Synthesis",
   "zh": "MDP 调度合成",
   "level": "l3"
  },
  "CAP_8246e2e3": {
   "en": "POMDP Policy Synthesis",
   "zh": "POMDP 策略合成",
   "level": "l3"
  },
  "CAP_4b3aef38": {
   "en": "Direct Probabilistic Verdict",
   "zh": "直接概率判定",
   "level": "l3"
  },
  "CAP_042bc23e": {
   "en": "SpaceEx Support Function Compilation",
   "zh": "SpaceEx 支持函数编译",
   "level": "l3"
  },
  "CAP_98225e70": {
   "en": "Flow* Taylor Model Compilation",
   "zh": "Flow* 泰勒模型编译",
   "level": "l3"
  },
  "CAP_9ebbe785": {
   "en": "SpaceEx Support Function Reachability",
   "zh": "SpaceEx 支持函数可达性",
   "level": "l3"
  },
  "CAP_0890699d": {
   "en": "Flow* Taylor Model Reachability",
   "zh": "Flow* 泰勒模型可达性",
   "level": "l3"
  },
  "CAP_51df272f": {
   "en": "Neural Network to Hybrid Automaton",
   "zh": "神经网络到混合自动机转换",
   "level": "l3"
  },
  "CAP_fd3f1ea5": {
   "en": "Result Analysis",
   "zh": "结果分析",
   "level": "l3"
  },
  "CAP_9d9b92be": {
   "en": "Safety Certificate Generation",
   "zh": "安全证书生成",
   "level": "l3"
  },
  "CAP_61c77838": {
   "en": "Verification Result Aggregation",
   "zh": "验证结果汇总",
   "level": "l3"
  },
  "CAP_d41b91d8": {
   "en": "Probabilistic Counterexample Generation",
   "zh": "概率反例生成",
   "level": "l3"
  },
  "CAP_de637049": {
   "en": "PRISM Probabilistic Model Construction",
   "zh": "PRISM 概率模型构建",
   "level": "l3"
  },
  "CAP_eb26f190": {
   "en": "Parametric Probabilistic Model Checking",
   "zh": "参数化概率模型检验",
   "level": "l3"
  },
  "CAP_fd01b5bf": {
   "en": "Neural Network to Hybrid Automaton Conversion",
   "zh": "神经网络转混合自动机",
   "level": "l3"
  },
  "CAP_9268eb41": {
   "en": "POMDP Strategy Synthesis",
   "zh": "POMDP 策略合成",
   "level": "l3"
  },
  "CAP_ebc61eab": {
   "en": "Prism Model Construction",
   "zh": "PRISM 模型构建",
   "level": "l3"
  },
  "CAP_cf956821": {
   "en": "Model Type Classification",
   "zh": "模型类型分类",
   "level": "l3"
  },
  "CAP_c4a4b083": {
   "en": "Abstraction Refinement Model Checking",
   "zh": "抽象精化模型检验",
   "level": "l3"
  },
  "CAP_8b38d849": {
   "en": "Flowstar Taylor Reachability",
   "zh": "Flow* 泰勒模型可达性",
   "level": "l3"
  },
  "CAP_1906d0d5": {
   "en": "Verisig Closed-loop Check",
   "zh": "Verisig 闭环安全验证",
   "level": "l3"
  },
  "CAP_c0343cc2": {
   "en": "Linear Hybrid Automata Reachability (SpaceEx)",
   "zh": "线性混合自动机可达性（SpaceEx）",
   "level": "l3"
  },
  "CAP_303439ad": {
   "en": "Taylor Model Nonlinear Reachability (Flow*)",
   "zh": "泰勒模型非线性可达性（Flow*）",
   "level": "l3"
  },
  "CAP_ae0c8af5": {
   "en": "Neural Network to Hybrid Automaton Translation (Verisig)",
   "zh": "神经网络到混合自动机转换（Verisig）",
   "level": "l3"
  },
  "CAP_35f84b8f": {
   "en": "World Model Based Imagination",
   "zh": "基于世界模型的想象与规划",
   "level": "l2"
  },
  "CAP_20e3ed2b": {
   "en": "Governance Constraint Evaluation and Correction",
   "zh": "治理约束评估与风险修正",
   "level": "l2"
  },
  "CAP_5461b06e": {
   "en": "Governance Report Generation",
   "zh": "治理报告生成",
   "level": "l2"
  },
  "CAP_d3ea2edc": {
   "en": "Governance Constraint Evaluator",
   "zh": "治理约束评估器",
   "level": "l3"
  },
  "CAP_424eee57": {
   "en": "Risk Anticipation Correction",
   "zh": "风险预判与修正",
   "level": "l3"
  },
  "CAP_34be7c66": {
   "en": "Governance Report Synthesizer",
   "zh": "治理报告合成器",
   "level": "l3"
  },
  "CAP_5737a32c": {
   "en": "Scene Semantic Understanding",
   "zh": "场景语义理解",
   "level": "l2"
  },
  "CAP_3d374a22": {
   "en": "Task Planning Generation",
   "zh": "任务规划生成",
   "level": "l2"
  },
  "CAP_211d9122": {
   "en": "Execution and State Monitoring",
   "zh": "执行与状态监控",
   "level": "l2"
  },
  "CAP_0e54526d": {
   "en": "Anomaly Detection and Recovery",
   "zh": "异常检测与恢复",
   "level": "l2"
  },
  "CAP_7ecc9262": {
   "en": "Governance Constraint Check and Compliance Verification",
   "zh": "治理约束校验与合规验证",
   "level": "l3"
  },
  "CAP_bdc3bdb4": {
   "en": "Skill Mapping and Parameterization",
   "zh": "技能映射与参数化",
   "level": "l3"
  },
  "CAP_69b9f01e": {
   "en": "Closed-loop Execution Monitoring",
   "zh": "闭环执行监控",
   "level": "l3"
  },
  "CAP_543028dd": {
   "en": "Anomaly-driven Replanning",
   "zh": "异常驱动的重规划",
   "level": "l3"
  },
  "CAP_df13f391": {
   "en": "System Modeling and State Space Definition",
   "zh": "系统建模与状态空间定义",
   "level": "l2"
  },
  "CAP_3e7d9306": {
   "en": "Receding Horizon Optimization Solving",
   "zh": "滚动时域优化求解",
   "level": "l2"
  },
  "CAP_5341e60d": {
   "en": "Governance Action Execution and Safety Gate",
   "zh": "治理动作执行与安全校验",
   "level": "l2"
  },
  "CAP_135415fc": {
   "en": "Model Update and Adaptive Tuning",
   "zh": "模型更新与自适应调优",
   "level": "l2"
  },
  "CAP_92749590": {
   "en": "MPC State Estimation",
   "zh": "MPC 状态估计",
   "level": "l3"
  },
  "CAP_91a51957": {
   "en": "MPC System Identification",
   "zh": "MPC 系统辨识",
   "level": "l3"
  },
  "CAP_f3c11ffb": {
   "en": "MPC Safety Gate",
   "zh": "MPC 安全闸门",
   "level": "l3"
  },
  "CAP_56ceb3c8": {
   "en": "MPC Adaptive Tuning",
   "zh": "MPC 自适应调优",
   "level": "l3"
  },
  "CAP_dfaed355": {
   "en": "Model and Value Preparation",
   "zh": "动力学模型与价值函数准备",
   "level": "l2"
  },
  "CAP_bb0e9849": {
   "en": "Value-Guided MPPI Control",
   "zh": "价值引导MPPI滚动优化",
   "level": "l2"
  },
  "CAP_d3dbc144": {
   "en": "Real-Time Execution and Adaptation",
   "zh": "实时执行与在线适应",
   "level": "l2"
  },
  "CAP_968a56d3": {
   "en": "Ensemble Dynamics Learning",
   "zh": "集成动力学模型学习",
   "level": "l3"
  },
  "CAP_0187384d": {
   "en": "Value Function Pre-training",
   "zh": "价值函数预训练",
   "level": "l3"
  },
  "CAP_249257c4": {
   "en": "Stochastic Trajectory Sampling",
   "zh": "随机轨迹采样",
   "level": "l3"
  },
  "CAP_89906036": {
   "en": "Uncertainty-Aware Value Integration",
   "zh": "不确定性感知价值集成",
   "level": "l3"
  },
  "CAP_52f67ae2": {
   "en": "Value-Guided MPPI Optimization",
   "zh": "价值引导MPPI优化",
   "level": "l3"
  },
  "CAP_ca194a31": {
   "en": "Real-Time MPPI Execution",
   "zh": "实时MPPI执行",
   "level": "l3"
  },
  "CAP_ada07334": {
   "en": "Online Dynamics Adaptation",
   "zh": "在线动力学适应",
   "level": "l3"
  },
  "CAP_4051a64c": {
   "en": "Differentiable Dynamics Modeling",
   "zh": "可微动力学建模",
   "level": "l2"
  },
  "CAP_c7373d48": {
   "en": "Differentiable Hand Dynamics",
   "zh": "可微灵巧手动力学",
   "level": "l3"
  },
  "CAP_3fe37d92": {
   "en": "Contact-Aware Optimal Control Formulation",
   "zh": "接触感知最优控制问题形式化",
   "level": "l2"
  },
  "CAP_d8ea4d66": {
   "en": "Contact-Aware OCP",
   "zh": "接触感知最优控制问题形式化",
   "level": "l3"
  },
  "CAP_5d6b7f8a": {
   "en": "Differential MPC Solving",
   "zh": "微分规划求解",
   "level": "l2"
  },
  "CAP_dec24ef7": {
   "en": "Differential MPC Solver",
   "zh": "微分规划求解器",
   "level": "l3"
  },
  "CAP_dc2fddd7": {
   "en": "Real-Time Execution and Safety",
   "zh": "实时执行与安全",
   "level": "l2"
  },
  "CAP_f92158ab": {
   "en": "Real-Time Safety Filter",
   "zh": "实时安全滤波器",
   "level": "l3"
  },
  "CAP_cd2795c0": {
   "en": "Offline Dynamics and Cost Learning",
   "zh": "离线动力学与终端代价学习",
   "level": "l2"
  },
  "CAP_69f8e94b": {
   "en": "Online MPC Execution",
   "zh": "在线MPC执行",
   "level": "l2"
  },
  "CAP_8c07d48a": {
   "en": "Learned Probabilistic Dynamics",
   "zh": "学习概率动力学模型",
   "level": "l3"
  },
  "CAP_c8a2cc95": {
   "en": "Terminal Cost Value Learning",
   "zh": "终端代价函数学习",
   "level": "l3"
  },
  "CAP_5f0051c1": {
   "en": "MPC Rollout Optimizer",
   "zh": "MPC滚动优化器",
   "level": "l3"
  },
  "CAP_4f974b33": {
   "en": "Uncertainty Aware Constrained MPC",
   "zh": "不确定性感知约束MPC",
   "level": "l3"
  },
  "CAP_2cf624bc": {
   "en": "Perception and Reference Acquisition",
   "zh": "感知与参考获取",
   "level": "l2"
  },
  "CAP_b2d081fd": {
   "en": "State Estimation and Reference Acquisition",
   "zh": "状态估计与参考路径获取",
   "level": "l3"
  },
  "CAP_dc36af10": {
   "en": "Environment Perception and Cost Construction",
   "zh": "环境感知与代价构建",
   "level": "l3"
  },
  "CAP_1cd8f02a": {
   "en": "Sampling and Simulation",
   "zh": "采样与并行模拟",
   "level": "l2"
  },
  "CAP_ae91fc00": {
   "en": "Terrain-aware Sampling Bias",
   "zh": "地形感知采样偏置",
   "level": "l3"
  },
  "CAP_5f77c28c": {
   "en": "Sampling-based Kinodynamic Rollout",
   "zh": "基于采样的动力学前向模拟",
   "level": "l3"
  },
  "CAP_2fae8102": {
   "en": "Cost Evaluation and Decision",
   "zh": "代价评估与决策",
   "level": "l2"
  },
  "CAP_c49a85fe": {
   "en": "Dynamic Obstacle Projection and Avoidance",
   "zh": "动态障碍物投影与避障",
   "level": "l3"
  },
  "CAP_cb6a2a21": {
   "en": "GPU-accelerated Trajectory Scoring",
   "zh": "GPU加速轨迹评分",
   "level": "l3"
  },
  "CAP_24acfef8": {
   "en": "Control Extraction and Warm Start",
   "zh": "控制提取与热启动",
   "level": "l2"
  },
  "CAP_185ecc22": {
   "en": "Optimal Control Extraction and Smoothing",
   "zh": "最优控制提取与平滑",
   "level": "l3"
  },
  "CAP_e25a182c": {
   "en": "MPPI Control Distribution Update",
   "zh": "MPPI控制分布更新",
   "level": "l3"
  },
  "CAP_4985fd1b": {
   "en": "Reference and Perception",
   "zh": "参考与感知",
   "level": "l2"
  },
  "CAP_aa9d4874": {
   "en": "Global Path Reception",
   "zh": "全局路径接收",
   "level": "l3"
  },
  "CAP_df1def72": {
   "en": "Trajectory Optimization Formulation",
   "zh": "轨迹优化问题构建",
   "level": "l2"
  },
  "CAP_ed04d9ee": {
   "en": "Flatness-based Trajectory Parameterization",
   "zh": "平坦轨迹参数化",
   "level": "l3"
  },
  "CAP_b0cb1288": {
   "en": "Dynamic Feasibility Constraint Construction",
   "zh": "动态可行性约束构建",
   "level": "l3"
  },
  "CAP_d7aa4699": {
   "en": "ESDF-based Obstacle Avoidance Constraint",
   "zh": "基于ESDF的避障约束",
   "level": "l3"
  },
  "CAP_36c77aef": {
   "en": "Optimization Solving and Control",
   "zh": "优化求解与控制",
   "level": "l2"
  },
  "CAP_601408c1": {
   "en": "Receding Horizon NLP Solver",
   "zh": "滚动时域NLP求解器",
   "level": "l3"
  },
  "CAP_7b890da5": {
   "en": "Flatness-based Inverse Dynamics",
   "zh": "基于微分平坦的逆动力学",
   "level": "l3"
  },
  "CAP_48ffd474": {
   "en": "WBC Reaction Force QP",
   "zh": "WBC反力QP求解",
   "level": "l3"
  },
  "CAP_dd216792": {
   "en": "Neural World Model Forward Prediction",
   "zh": "神经世界模型前向预测",
   "level": "l3"
  },
  "CAP_8736fd24": {
   "en": "GP Residual Dynamics Learning",
   "zh": "高斯过程残差动力学学习",
   "level": "l3"
  },
  "CAP_de5ea79c": {
   "en": "Safe-Set and Cost-to-Go Update",
   "zh": "安全集与代价可达值函数更新",
   "level": "l3"
  },
  "CAP_5426677e": {
   "en": "Reference Model and State Prediction",
   "zh": "参考模型与状态预测",
   "level": "l2"
  },
  "CAP_1e015f19": {
   "en": "Adaptive Estimation and Control",
   "zh": "自适应估计与鲁棒控制",
   "level": "l2"
  },
  "CAP_3c6fbdaa": {
   "en": "Reference Model Generation",
   "zh": "参考模型生成",
   "level": "l3"
  },
  "CAP_c4c45fac": {
   "en": "State Prediction for L1",
   "zh": "L1状态预测",
   "level": "l3"
  },
  "CAP_ecdcf528": {
   "en": "Piecewise Constant Uncertainty Estimation",
   "zh": "分段常数不确定性估计",
   "level": "l3"
  },
  "CAP_058be980": {
   "en": "L1 Adaptive Attitude Tracking",
   "zh": "L1自适应姿态跟踪控制律",
   "level": "l3"
  },
  "CAP_4e97d29d": {
   "en": "Control Signal Bandwidth Limiting",
   "zh": "控制信号带宽限制",
   "level": "l3"
  },
  "CAP_923e2689": {
   "en": "MFAC Motor Servo Control",
   "zh": "电机伺服无模型自适应控制",
   "level": "l2"
  },
  "CAP_f98eb007": {
   "en": "MFAC Parameter Initialization and Self-Tuning",
   "zh": "MFAC参数初始化与自整定",
   "level": "l3"
  },
  "CAP_01247652": {
   "en": "Motor Signal Acquisition and Filtering",
   "zh": "电机信号采集与滤波",
   "level": "l3"
  },
  "CAP_b3713e04": {
   "en": "Reference Model Update for MFAC",
   "zh": "MFAC参考模型更新",
   "level": "l3"
  },
  "CAP_797ada1a": {
   "en": "Pseudo Partial Derivative Estimation",
   "zh": "伪偏导数在线估计",
   "level": "l3"
  },
  "CAP_92b47580": {
   "en": "MFAC Speed Control",
   "zh": "MFAC转速控制",
   "level": "l3"
  },
  "CAP_4d57aebd": {
   "en": "MFAC Disturbance Rejection",
   "zh": "MFAC抗扰控制",
   "level": "l3"
  },
  "CAP_526174c2": {
   "en": "Control Signal Limiting and Anti-Windup",
   "zh": "控制量限幅与抗饱和",
   "level": "l3"
  },
  "CAP_ee791f29": {
   "en": "PWM Generation and Inverter Drive",
   "zh": "PWM生成与逆变器驱动",
   "level": "l3"
  },
  "CAP_18233354": {
   "en": "Motor Servo Fault Detection",
   "zh": "电机伺服故障检测",
   "level": "l3"
  },
  "CAP_8f417882": {
   "en": "Reference Model and Error Computation",
   "zh": "参考模型与误差计算",
   "level": "l2"
  },
  "CAP_90a92e70": {
   "en": "Baseline Control and Adaptation Law",
   "zh": "基线控制与自适应律",
   "level": "l2"
  },
  "CAP_b997dac6": {
   "en": "Adaptation Strategy Selection and Execution",
   "zh": "自适应策略选择与执行",
   "level": "l2"
  },
  "CAP_5ed7ec9f": {
   "en": "Adaptive Control Synthesis Phase",
   "zh": "自适应控制合成阶段",
   "level": "l2"
  },
  "CAP_0328aa33": {
   "en": "Contact Aware Reference Model",
   "zh": "接触感知参考模型",
   "level": "l3"
  },
  "CAP_bf9e4ce9": {
   "en": "State Error Computation",
   "zh": "状态误差计算",
   "level": "l3"
  },
  "CAP_28459715": {
   "en": "Projection Based Adaptation",
   "zh": "基于投影的自适应律",
   "level": "l3"
  },
  "CAP_ea91895d": {
   "en": "MRAC Legged Baseline",
   "zh": "足式机器人直接MRAC",
   "level": "l3"
  },
  "CAP_48b4452b": {
   "en": "Indirect MRAC System Identification",
   "zh": "间接MRAC系统辨识",
   "level": "l3"
  },
  "CAP_1f73dd3e": {
   "en": "DNN Residual MRAC",
   "zh": "深度残差学习MRAC",
   "level": "l3"
  },
  "CAP_73893ec2": {
   "en": "Adaptive Parameter Aggregation",
   "zh": "自适应参数汇总",
   "level": "l3"
  },
  "CAP_08fcb94a": {
   "en": "Adaptive Control Synthesis",
   "zh": "自适应控制合成",
   "level": "l3"
  },
  "CAP_d8f5403c": {
   "en": "Dual-channel Residual Generation",
   "zh": "双通道残差生成",
   "level": "l2"
  },
  "CAP_c7b06188": {
   "en": "Spatiotemporal Alignment and Fusion",
   "zh": "时空对齐与融合",
   "level": "l2"
  },
  "CAP_81b7dd75": {
   "en": "Sequential Anomaly Detection and Response",
   "zh": "序贯异常检测与响应",
   "level": "l2"
  },
  "CAP_0affd8ac": {
   "en": "Dynamics Residual Generation",
   "zh": "动力学残差生成",
   "level": "l3"
  },
  "CAP_9fd8d096": {
   "en": "Visual Residual Generation",
   "zh": "视觉残差生成",
   "level": "l3"
  },
  "CAP_c13679e1": {
   "en": "Joint Residual Fusion",
   "zh": "联合残差融合",
   "level": "l3"
  },
  "CAP_13f56bd6": {
   "en": "Sequential Anomaly Detection",
   "zh": "序贯异常检测",
   "level": "l3"
  },
  "CAP_7af1d137": {
   "en": "Collision Safety Response",
   "zh": "碰撞安全响应",
   "level": "l3"
  },
  "CAP_4474fbf5": {
   "en": "Slip Response and Regrasp Adjustment",
   "zh": "滑移响应与重抓取调整",
   "level": "l3"
  },
  "CAP_57f468c5": {
   "en": "Data Acquisition and Preprocessing",
   "zh": "数据采集与预处理",
   "level": "l2"
  },
  "CAP_046ecf01": {
   "en": "Generative Model Training",
   "zh": "生成模型训练",
   "level": "l2"
  },
  "CAP_9bbdbbb4": {
   "en": "OOD Detection and Fault Inference",
   "zh": "分布外检测与故障推断",
   "level": "l2"
  },
  "CAP_0b7a8c6b": {
   "en": "Normal Operation Data Collection and Preprocessing",
   "zh": "正常操作数据采集与预处理",
   "level": "l3"
  },
  "CAP_0dcb18b3": {
   "en": "Latent Space Construction",
   "zh": "潜空间构建",
   "level": "l3"
  },
  "CAP_a4caf40f": {
   "en": "Online Residual Computation",
   "zh": "在线残差计算",
   "level": "l3"
  },
  "CAP_b1eeed85": {
   "en": "OOD Environment Detection",
   "zh": "分布外环境检测",
   "level": "l3"
  },
  "CAP_fb639496": {
   "en": "Adaptive Threshold Calibration",
   "zh": "自适应阈值校准",
   "level": "l3"
  },
  "CAP_dddcb946": {
   "en": "Fault Signature Analysis",
   "zh": "故障签名分析",
   "level": "l3"
  },
  "CAP_a8186d86": {
   "en": "Semantic Task Parsing and Encoding",
   "zh": "语义任务解析与编码",
   "level": "l2"
  },
  "CAP_4c9d4744": {
   "en": "Semantic Execution and Perception",
   "zh": "语义执行与感知",
   "level": "l2"
  },
  "CAP_c3adfaa4": {
   "en": "Semantic Residual and Fault Response",
   "zh": "语义残差与故障响应",
   "level": "l2"
  },
  "CAP_d8b34336": {
   "en": "VLM Scene Description",
   "zh": "VLM场景描述",
   "level": "l3"
  },
  "CAP_eb79ab5e": {
   "en": "Semantic Residual Computation",
   "zh": "语义残差计算",
   "level": "l3"
  },
  "CAP_9073e52d": {
   "en": "Fault Decision",
   "zh": "故障判定",
   "level": "l3"
  },
  "CAP_0fa58bcd": {
   "en": "LLM Fault Replanning",
   "zh": "LLM故障重规划",
   "level": "l3"
  },
  "CAP_39c68ac1": {
   "en": "Task Continuation",
   "zh": "任务继续",
   "level": "l3"
  },
  "CAP_01e2ff6e": {
   "en": "Human Intervention Request",
   "zh": "人工干预请求",
   "level": "l3"
  },
  "CAP_c95221ac": {
   "en": "Fault Response Completion",
   "zh": "故障响应完成",
   "level": "l3"
  },
  "CAP_660dbc30": {
   "en": "Model Uncertainty Estimation",
   "zh": "模型不确定性估计",
   "level": "l2"
  },
  "CAP_ea79bcfa": {
   "en": "Model Based Planner",
   "zh": "基于模型规划器",
   "level": "l2"
  },
  "CAP_9d7adec3": {
   "en": "Uncertainty Aware Execution",
   "zh": "不确定性感知执行",
   "level": "l2"
  },
  "CAP_bec15220": {
   "en": "Uncertainty Aware MBRL",
   "zh": "不确定性感知的模型强化学习",
   "level": "l3"
  },
  "CAP_258c52f6": {
   "en": "Probabilistic Ensemble Training",
   "zh": "概率集成动力学模型训练",
   "level": "l3"
  },
  "CAP_9abcf208": {
   "en": "Ensemble Dynamics Uncertainty Rollout",
   "zh": "集成动力学不确定性rollout调整",
   "level": "l3"
  },
  "CAP_b7feaae8": {
   "en": "Exploration Policy Optimization",
   "zh": "探索策略优化",
   "level": "l3"
  },
  "CAP_54262377": {
   "en": "Distributional Risk-Seeking MBRL",
   "zh": "基于分布强化学习的风险寻求MBRL",
   "level": "l2"
  },
  "CAP_a7143cfc": {
   "en": "Probabilistic Dynamics Ensemble Learning",
   "zh": "概率动力学集成模型学习",
   "level": "l3"
  },
  "CAP_5a4c3210": {
   "en": "Imagined Rollout Generation",
   "zh": "想象轨迹生成",
   "level": "l3"
  },
  "CAP_9cde7a86": {
   "en": "Distributional Return Modeling",
   "zh": "分布回报建模",
   "level": "l3"
  },
  "CAP_46a86806": {
   "en": "CVaR Risk Seeking Exploration",
   "zh": "CVaR风险寻求探索",
   "level": "l3"
  },
  "CAP_643ae508": {
   "en": "Risk-Seeking Policy Optimization",
   "zh": "风险寻求策略优化",
   "level": "l3"
  },
  "CAP_328f3dab": {
   "en": "Model-Based Exploration Loop",
   "zh": "基于模型的探索闭环",
   "level": "l3"
  },
  "CAP_f8aa7d8a": {
   "en": "Multi-modal Input Preprocessing",
   "zh": "多模态输入预处理",
   "level": "l3"
  },
  "CAP_10d2537f": {
   "en": "Shared Encoder Forward",
   "zh": "共享编码器前向",
   "level": "l3"
  },
  "CAP_8fb16150": {
   "en": "Sparse Routing and Load Management",
   "zh": "稀疏路由与负载管理",
   "level": "l2"
  },
  "CAP_16df2c3f": {
   "en": "Hierarchical MoE Architecture",
   "zh": "层次化 MoE 架构",
   "level": "l3"
  },
  "CAP_7542c6a0": {
   "en": "Sparse Expert Routing",
   "zh": "稀疏专家路由",
   "level": "l3"
  },
  "CAP_cc08103e": {
   "en": "Task-Conditioned Expert Selection",
   "zh": "任务条件化专家选择",
   "level": "l3"
  },
  "CAP_1ccf6709": {
   "en": "Load Balancing Optimization",
   "zh": "负载均衡优化",
   "level": "l3"
  },
  "CAP_5549466f": {
   "en": "Expert Capacity Dynamic Adjustment",
   "zh": "专家容量动态调整",
   "level": "l3"
  },
  "CAP_7d98fad5": {
   "en": "Expert Computation",
   "zh": "专家网络计算",
   "level": "l2"
  },
  "CAP_78a3e53e": {
   "en": "Expert FFN Computation",
   "zh": "专家 FFN 计算",
   "level": "l3"
  },
  "CAP_e20312b5": {
   "en": "Expert Output Merging",
   "zh": "专家输出合并",
   "level": "l3"
  },
  "CAP_d88e2162": {
   "en": "Task-specific Output",
   "zh": "任务特定输出",
   "level": "l2"
  },
  "CAP_d3b79e9d": {
   "en": "Task Router",
   "zh": "任务路由器",
   "level": "l3"
  },
  "CAP_c5a3f71d": {
   "en": "Task Head Output",
   "zh": "任务头部输出",
   "level": "l3"
  },
  "CAP_a730b7ac": {
   "en": "Option Discovery and Initialization",
   "zh": "选项发现与初始化",
   "level": "l2"
  },
  "CAP_05868f4d": {
   "en": "Option Discovery from Demonstrations",
   "zh": "从演示中自动发现选项",
   "level": "l3"
  },
  "CAP_805a1661": {
   "en": "Hierarchical Policy Training",
   "zh": "分层策略训练",
   "level": "l2"
  },
  "CAP_8bbff949": {
   "en": "Hierarchical Policy Training with Off-policy Correction",
   "zh": "带离策略校正的分层策略训练",
   "level": "l3"
  },
  "CAP_712c3680": {
   "en": "Option Conditioned Action Decoding",
   "zh": "选项条件化动作解码",
   "level": "l3"
  },
  "CAP_64a12841": {
   "en": "Option Termination and Switching",
   "zh": "选项终止与切换",
   "level": "l2"
  },
  "CAP_adbc6561": {
   "en": "Option Termination Learning",
   "zh": "选项终止函数学习",
   "level": "l3"
  },
  "CAP_1f791e8e": {
   "en": "Cross-task Option Sharing and Multi-task Optimization",
   "zh": "跨任务选项共享与多任务联合优化",
   "level": "l2"
  },
  "CAP_2df07981": {
   "en": "Cross-task Option Sharing",
   "zh": "跨任务选项共享",
   "level": "l3"
  },
  "CAP_c6d1e092": {
   "en": "Data Preparation for Self-Supervised Depth",
   "zh": "自监督深度数据准备",
   "level": "l2"
  },
  "CAP_1b159051": {
   "en": "Depth and Pose Joint Prediction",
   "zh": "深度与位姿联合预测",
   "level": "l2"
  },
  "CAP_95ba1bb7": {
   "en": "Self-Supervised Loss Computation and Optimization",
   "zh": "自监督损失计算与优化",
   "level": "l2"
  },
  "CAP_6152e8a8": {
   "en": "Video Frame Sampling and Preprocessing",
   "zh": "视频帧采样与预处理",
   "level": "l3"
  },
  "CAP_28532719": {
   "en": "Self-Supervised Monocular Video Depth Training",
   "zh": "自监督单目视频深度训练",
   "level": "l3"
  },
  "CAP_240b51ec": {
   "en": "Self-Supervised Monocular Pose Estimation",
   "zh": "自监督单目位姿估计",
   "level": "l3"
  },
  "CAP_f49e3faa": {
   "en": "Auto-Masking for Self-Supervised Depth",
   "zh": "自监督深度自动掩膜",
   "level": "l3"
  },
  "CAP_d6f9ca15": {
   "en": "Multi-Scale Photometric Loss Aggregation",
   "zh": "多尺度光度损失聚合",
   "level": "l3"
  },
  "CAP_eaccdb2a": {
   "en": "Differentiable View Synthesis and Photometric Loss",
   "zh": "可微分视图合成与光度损失",
   "level": "l3"
  },
  "CAP_d0467a1c": {
   "en": "Edge-Aware Smoothness Regularization",
   "zh": "边缘感知平滑正则化",
   "level": "l3"
  },
  "CAP_0ce813aa": {
   "en": "Self-Supervised Monocular Video Depth Inference",
   "zh": "自监督单目视频深度推理",
   "level": "l3"
  },
  "CAP_bf5feaef": {
   "en": "Image Preprocessing for Embodied Depth",
   "zh": "面向具身深度的图像预处理",
   "level": "l2"
  },
  "CAP_7e546a78": {
   "en": "Lightweight Depth Inference",
   "zh": "轻量级深度推理",
   "level": "l2"
  },
  "CAP_f58010c2": {
   "en": "Depth Post-Processing and Scale Alignment",
   "zh": "深度后处理与尺度对齐",
   "level": "l2"
  },
  "CAP_1fbfd544": {
   "en": "Task-Oriented Depth Representation",
   "zh": "任务导向的深度表示",
   "level": "l2"
  },
  "CAP_b2f602f6": {
   "en": "Adaptive Image Preprocessing",
   "zh": "自适应图像预处理",
   "level": "l3"
  },
  "CAP_d5046f18": {
   "en": "Model Selection Policy for Lightweight Depth",
   "zh": "轻量级深度模型选择策略",
   "level": "l3"
  },
  "CAP_5c51163c": {
   "en": "FastDepth-based Lightweight Depth Inference",
   "zh": "基于FastDepth的轻量级深度推理",
   "level": "l3"
  },
  "CAP_e50d63fa": {
   "en": "Lite-Mono-based Lightweight Depth Inference",
   "zh": "基于Lite-Mono的轻量级深度推理",
   "level": "l3"
  },
  "CAP_afd26c4f": {
   "en": "Depth Map Filtering and Upsampling",
   "zh": "深度图滤波与上采样",
   "level": "l3"
  },
  "CAP_88f108fa": {
   "en": "Metric Signal Availability Check",
   "zh": "度量信号可用性检查",
   "level": "l3"
  },
  "CAP_6b608196": {
   "en": "Metric Scale Alignment",
   "zh": "度量尺度对齐",
   "level": "l3"
  },
  "CAP_68fd082f": {
   "en": "Task Representation Selection Policy",
   "zh": "任务表示选择策略",
   "level": "l3"
  },
  "CAP_3a809af8": {
   "en": "Task Costmap Generation",
   "zh": "任务代价地图生成",
   "level": "l3"
  },
  "CAP_78f388fa": {
   "en": "Task Grasp Point Cloud Generation",
   "zh": "任务抓取点云生成",
   "level": "l3"
  },
  "CAP_783af290": {
   "en": "Sparse Monocular Visual SLAM",
   "zh": "稀疏单目视觉SLAM",
   "level": "l2"
  },
  "CAP_a28ec066": {
   "en": "Monocular Sparse SLAM Initialization",
   "zh": "单目稀疏SLAM初始化",
   "level": "l3"
  },
  "CAP_c1066280": {
   "en": "Monocular Frame Pose Estimation",
   "zh": "单目帧位姿估计",
   "level": "l3"
  },
  "CAP_72f2b05c": {
   "en": "Keyframe Selection and Management",
   "zh": "关键帧选择与管理",
   "level": "l3"
  },
  "CAP_ccc32f6c": {
   "en": "Sparse Map Local Optimization",
   "zh": "稀疏地图局部优化",
   "level": "l3"
  },
  "CAP_cc7a0d47": {
   "en": "Monocular Loop Closure Correction",
   "zh": "单目闭环校正",
   "level": "l3"
  },
  "CAP_2927cfc0": {
   "en": "Sparse Map Global Optimization",
   "zh": "稀疏地图全局优化",
   "level": "l3"
  },
  "CAP_f5b7b937": {
   "en": "Semi-Direct VO Tracking",
   "zh": "半直接法视觉里程计跟踪",
   "level": "l2"
  },
  "CAP_86518118": {
   "en": "Depth Estimation and Local Mapping",
   "zh": "深度估计与局部建图",
   "level": "l2"
  },
  "CAP_0749c705": {
   "en": "Sparse Direct Image Alignment",
   "zh": "稀疏直接法图像对齐",
   "level": "l3"
  },
  "CAP_19533c20": {
   "en": "Camera Pose Output",
   "zh": "相机位姿输出",
   "level": "l3"
  },
  "CAP_9031dc9c": {
   "en": "Monocular Depth Prior Estimation",
   "zh": "单目深度先验估计",
   "level": "l2"
  },
  "CAP_52629b72": {
   "en": "Monocular Depth Estimation",
   "zh": "单目深度估计",
   "level": "l3"
  },
  "CAP_52f05fdc": {
   "en": "Dense Mapping and Scale Alignment",
   "zh": "稠密建图与尺度对齐",
   "level": "l2"
  },
  "CAP_b023c711": {
   "en": "Scale-Aware Dense Fusion",
   "zh": "尺度感知稠密融合",
   "level": "l3"
  },
  "CAP_94c006c2": {
   "en": "Online Neural Field Mapping",
   "zh": "在线神经场建图",
   "level": "l3"
  },
  "CAP_951d05c2": {
   "en": "Sparse Geometric Motion Estimation",
   "zh": "稀疏几何运动估计",
   "level": "l2"
  },
  "CAP_bcce1abc": {
   "en": "Self-Supervised Network Construction",
   "zh": "自监督网络构建",
   "level": "l2"
  },
  "CAP_bd6b9bdf": {
   "en": "View Synthesis and Self-Supervised Loss",
   "zh": "视图合成与自监督损失",
   "level": "l2"
  },
  "CAP_a27c5341": {
   "en": "Joint Training and Inference",
   "zh": "联合训练与推理",
   "level": "l2"
  },
  "CAP_7c7132a5": {
   "en": "Self-Supervised Pose Estimation",
   "zh": "自监督位姿估计",
   "level": "l3"
  },
  "CAP_2a2e2aa4": {
   "en": "Photometric Reprojection Loss",
   "zh": "光度重投影损失",
   "level": "l3"
  },
  "CAP_c7baaa64": {
   "en": "Joint Self-Supervised Training",
   "zh": "联合自监督训练",
   "level": "l3"
  },
  "CAP_48f05b00": {
   "en": "Differentiable Recurrent Frontend",
   "zh": "可微分循环前端",
   "level": "l2"
  },
  "CAP_c76b2239": {
   "en": "Differentiable Backend Global Reasoning",
   "zh": "可微分后端全局推理",
   "level": "l2"
  },
  "CAP_b46788c2": {
   "en": "Differentiable Recurrent Pose Estimation",
   "zh": "可微分循环位姿估计",
   "level": "l3"
  },
  "CAP_90630ae1": {
   "en": "Differentiable Bundle Adjustment Layer",
   "zh": "可微分光束法平差层",
   "level": "l3"
  },
  "CAP_bf547a84": {
   "en": "Learnable Global Descriptor Loop",
   "zh": "可学习全局描述子闭环",
   "level": "l3"
  },
  "CAP_94c06ca5": {
   "en": "Self-Supervised Scale Consistency",
   "zh": "自监督尺度一致性",
   "level": "l3"
  },
  "CAP_8dd7d207": {
   "en": "Differentiable IMU Visual Fusion",
   "zh": "可微分IMU视觉融合",
   "level": "l3"
  },
  "CAP_bb5ad06e": {
   "en": "MCTS LLM Inference",
   "zh": "MCTS LLM 推理",
   "level": "l2"
  },
  "CAP_badc6997": {
   "en": "MCTS Tree Initialization",
   "zh": "MCTS 树初始化",
   "level": "l3"
  },
  "CAP_a38c4d5c": {
   "en": "LLM Thought Sampling",
   "zh": "LLM 思维采样",
   "level": "l3"
  },
  "CAP_abcb2861": {
   "en": "MCTS Path Selection",
   "zh": "MCTS 路径选择",
   "level": "l3"
  },
  "CAP_154f95ce": {
   "en": "LLM State Evaluation",
   "zh": "LLM 状态评估",
   "level": "l3"
  },
  "CAP_f127d06f": {
   "en": "MCTS Backpropagation",
   "zh": "MCTS 回溯",
   "level": "l3"
  },
  "CAP_377009e1": {
   "en": "Best Path Extraction",
   "zh": "最佳路径提取",
   "level": "l3"
  },
  "CAP_f609923f": {
   "en": "Manipulation Task Modeling and MCTS Initialization",
   "zh": "操作任务建模与MCTS初始化",
   "level": "l3"
  },
  "CAP_ffd37c78": {
   "en": "MCTS Dexterous Manipulation Search",
   "zh": "MCTS灵巧操作搜索",
   "level": "l2"
  },
  "CAP_74383ff9": {
   "en": "Policy Extraction and Sim-to-Real Transfer",
   "zh": "策略提取与Sim-to-Real迁移",
   "level": "l2"
  },
  "CAP_659da9ce": {
   "en": "MCTS Contact-Rich Task Planning",
   "zh": "MCTS接触丰富任务规划",
   "level": "l3"
  },
  "CAP_43afbe1b": {
   "en": "MCTS Dexterous Grasp Planning",
   "zh": "MCTS灵巧抓取规划",
   "level": "l3"
  },
  "CAP_5d539394": {
   "en": "MCTS In-Hand Manipulation",
   "zh": "MCTS手中操作",
   "level": "l3"
  },
  "CAP_962e9869": {
   "en": "MCTS Manipulation Skill Composition",
   "zh": "MCTS操作技能组合",
   "level": "l3"
  },
  "CAP_7c9a77d8": {
   "en": "MCTS Sim-to-Real Transfer",
   "zh": "MCTS Sim-to-Real迁移",
   "level": "l3"
  },
  "CAP_8e6c3f3a": {
   "en": "MCTS TAMP State and Action Construction",
   "zh": "MCTS TAMP 状态与动作构建",
   "level": "l2"
  },
  "CAP_feb708ec": {
   "en": "MCTS TAMP Search",
   "zh": "MCTS TAMP 搜索",
   "level": "l2"
  },
  "CAP_83547f4e": {
   "en": "MCTS TAMP Policy Extraction",
   "zh": "MCTS TAMP 策略提取",
   "level": "l2"
  },
  "CAP_2f2e4b92": {
   "en": "MCTS TAMP Joint State Representation",
   "zh": "MCTS TAMP 联合状态表示",
   "level": "l3"
  },
  "CAP_8debd3d4": {
   "en": "MCTS TAMP Action Primitive Library",
   "zh": "MCTS TAMP 动作基元库",
   "level": "l3"
  },
  "CAP_2ca1d367": {
   "en": "MCTS TAMP UCB1 Selection",
   "zh": "MCTS TAMP UCB1选择",
   "level": "l3"
  },
  "CAP_aa8f3600": {
   "en": "MCTS TAMP Motion Planning Interface",
   "zh": "MCTS TAMP 运动规划接口",
   "level": "l3"
  },
  "CAP_53f9bd2a": {
   "en": "MCTS TAMP Heuristic Simulation",
   "zh": "MCTS TAMP 启发式模拟",
   "level": "l3"
  },
  "CAP_3c8f6acc": {
   "en": "MCTS TAMP Backpropagation",
   "zh": "MCTS TAMP 回传更新",
   "level": "l3"
  },
  "CAP_f4711173": {
   "en": "MCTS TAMP Anytime Policy Extraction",
   "zh": "MCTS TAMP 任意时间策略提取",
   "level": "l3"
  },
  "CAP_3a677f3f": {
   "en": "Manipulation Task Modeling and State Construction",
   "zh": "操作任务建模与状态构建",
   "level": "l2"
  },
  "CAP_356ebaac": {
   "en": "Contact State Observation and Fusion",
   "zh": "接触状态观测与融合",
   "level": "l3"
  },
  "CAP_2dacbd81": {
   "en": "Action Space Discretization and Skill Primitive Definition",
   "zh": "动作空间离散化与技能原语定义",
   "level": "l3"
  },
  "CAP_1203cea6": {
   "en": "MCTS Manipulation Task Classification",
   "zh": "MCTS操作任务分类",
   "level": "l3"
  },
  "CAP_658a6365": {
   "en": "MCTS Branch Statistics Aggregation",
   "zh": "MCTS分支统计聚合",
   "level": "l3"
  },
  "CAP_c4fa99fe": {
   "en": "Policy Extraction and Action Smoothing",
   "zh": "策略提取与动作平滑",
   "level": "l3"
  },
  "CAP_3d155919": {
   "en": "Contact State Monitoring and Safety Constraint",
   "zh": "接触状态监测与安全约束",
   "level": "l3"
  },
  "CAP_65b9a051": {
   "en": "Online Model Adaptation and Replanning",
   "zh": "在线模型适应与重规划",
   "level": "l3"
  },
  "CAP_412ff77b": {
   "en": "Wearable Signal Sensing and Conditioning",
   "zh": "穿戴式信号采集与调理",
   "level": "l2"
  },
  "CAP_8cbe2972": {
   "en": "sEMG Signal Acquisition and Conditioning",
   "zh": "表面肌电信号采集与调理",
   "level": "l3"
  },
  "CAP_1f801814": {
   "en": "IMU and Force Signal Conditioning",
   "zh": "惯性测量单元与力信号调理",
   "level": "l3"
  },
  "CAP_4306c6a6": {
   "en": "Intent Decoding and Fusion",
   "zh": "意图解码与融合",
   "level": "l2"
  },
  "CAP_230d8aae": {
   "en": "Motion Intent Discrete Classification",
   "zh": "运动意图离散分类",
   "level": "l3"
  },
  "CAP_fc174a9e": {
   "en": "Motion Intent Continuous Regression",
   "zh": "运动意图连续回归",
   "level": "l3"
  },
  "CAP_aa4c5442": {
   "en": "Online Calibration and Adaptation",
   "zh": "在线校准与自适应",
   "level": "l3"
  },
  "CAP_24f4823f": {
   "en": "Intent Output and Communication",
   "zh": "意图输出与通信",
   "level": "l2"
  },
  "CAP_bc2c3e89": {
   "en": "Motion Intent Signal Output and Communication",
   "zh": "运动意图信号输出与通信",
   "level": "l3"
  },
  "CAP_9163a8a7": {
   "en": "Kinematic Perception and Feature Extraction",
   "zh": "运动学感知与特征提取",
   "level": "l2"
  },
  "CAP_36d9f8b0": {
   "en": "Temporal Intent Prediction and Decision",
   "zh": "时序意图预测与决策",
   "level": "l2"
  },
  "CAP_04b79730": {
   "en": "Assistive Control Command Generation",
   "zh": "辅助控制指令生成",
   "level": "l2"
  },
  "CAP_42ae1c95": {
   "en": "Multimodal Kinematic Signal Synchronization",
   "zh": "多模态运动学信号同步",
   "level": "l3"
  },
  "CAP_b0253c35": {
   "en": "Kinematic Feature Extraction and Representation Learning",
   "zh": "运动学特征提取与表示学习",
   "level": "l3"
  },
  "CAP_732cb93d": {
   "en": "Temporal Kinematic Intent Prediction",
   "zh": "时序运动学意图预测",
   "level": "l3"
  },
  "CAP_c94a673e": {
   "en": "Confidence Gating and Trigger Decision",
   "zh": "置信度门控与触发决策",
   "level": "l3"
  },
  "CAP_170ba175": {
   "en": "Intent to Torque Mapping and Smoothing",
   "zh": "意图到力矩映射与平滑",
   "level": "l3"
  },
  "CAP_038da1bd": {
   "en": "Physical Signal Conditioning",
   "zh": "物理信号调理",
   "level": "l2"
  },
  "CAP_58b01b72": {
   "en": "Physical Interaction Feature Extraction",
   "zh": "物理交互特征提取",
   "level": "l2"
  },
  "CAP_86c15376": {
   "en": "Gait Event and State Machine Detection",
   "zh": "步态事件与状态机检测",
   "level": "l2"
  },
  "CAP_29f6e06e": {
   "en": "Physical Intent Classification",
   "zh": "物理意图分类",
   "level": "l2"
  },
  "CAP_b73f13d9": {
   "en": "Physical Signal Filtering and Calibration",
   "zh": "物理信号滤波与校准",
   "level": "l3"
  },
  "CAP_2f0c26b6": {
   "en": "Physical Interaction Feature Computation",
   "zh": "物理交互特征计算",
   "level": "l3"
  },
  "CAP_3c154ad0": {
   "en": "Gait Event and Transition Detection",
   "zh": "步态事件与过渡检测",
   "level": "l3"
  },
  "CAP_24d1d6ab": {
   "en": "CoP-Based Gait Initiation Detection",
   "zh": "基于CoP的步态起始检测",
   "level": "l3"
  },
  "CAP_5af685b2": {
   "en": "Sit-to-Stand Intent from Load Transfer",
   "zh": "基于载荷转移的坐起意图识别",
   "level": "l3"
  },
  "CAP_876d4c96": {
   "en": "Turning Intent from Pelvic Yaw",
   "zh": "基于骨盆偏航的转向意图识别",
   "level": "l3"
  },
  "CAP_d8ce3518": {
   "en": "Stair Transition Detection from Joint Moment",
   "zh": "基于关节力矩的楼梯过渡检测",
   "level": "l3"
  },
  "CAP_23e085a4": {
   "en": "Physical Intent Branch Routing",
   "zh": "物理意图分支路由",
   "level": "l3"
  },
  "CAP_019e2e25": {
   "en": "Physical Intent Result Aggregation",
   "zh": "物理意图结果汇聚",
   "level": "l3"
  },
  "CAP_50418999": {
   "en": "Scene Encoding and Vectorization",
   "zh": "场景编码与向量化",
   "level": "l2"
  },
  "CAP_af4c4d06": {
   "en": "Scene Vectorization",
   "zh": "场景向量化",
   "level": "l3"
  },
  "CAP_c0a3095e": {
   "en": "Agent Interaction Modeling",
   "zh": "智能体交互建模",
   "level": "l3"
  },
  "CAP_842cac7d": {
   "en": "Agent Interaction Feature Extraction",
   "zh": "智能体交互特征提取",
   "level": "l3"
  },
  "CAP_422f3552": {
   "en": "Trajectory Postprocessing",
   "zh": "轨迹后处理",
   "level": "l2"
  },
  "CAP_3be5f148": {
   "en": "Trajectory Postprocessing and Filtering",
   "zh": "轨迹后处理与过滤",
   "level": "l3"
  },
  "CAP_1efcc15e": {
   "en": "Crowd Trajectory Feature Encoding",
   "zh": "人群轨迹特征编码",
   "level": "l2"
  },
  "CAP_16014ab9": {
   "en": "Crowd Trajectory Prediction and Uncertainty",
   "zh": "人群轨迹预测与不确定性",
   "level": "l2"
  },
  "CAP_1d97262d": {
   "en": "Crowd Trajectory Encoding",
   "zh": "人群轨迹编码",
   "level": "l3"
  },
  "CAP_54c1c038": {
   "en": "Scene Context Fusion",
   "zh": "场景上下文融合",
   "level": "l3"
  },
  "CAP_55ed2b42": {
   "en": "Manipulation Scene State Estimation",
   "zh": "操作场景状态估计",
   "level": "l2"
  },
  "CAP_c52a3cf2": {
   "en": "Interaction-Aware Motion Prediction",
   "zh": "交互感知的运动预测",
   "level": "l2"
  },
  "CAP_ae01e3e9": {
   "en": "Manipulation Outcome Prediction",
   "zh": "操作结果预测",
   "level": "l3"
  },
  "CAP_1211abab": {
   "en": "Contact Mode Selection",
   "zh": "接触模式选择",
   "level": "l3"
  },
  "CAP_7401f33e": {
   "en": "Outcome Feature Extraction",
   "zh": "结果特征提取",
   "level": "l3"
  },
  "CAP_12da5083": {
   "en": "Manipulation Outcome Classifier",
   "zh": "操作结果分类器",
   "level": "l3"
  },
  "CAP_3a0ab45f": {
   "en": "Motor Thermal Protection LPTN EKF",
   "zh": "电机 LPTN-EKF 自适应热保护",
   "level": "l2"
  },
  "CAP_3a3f1c93": {
   "en": "LPTN Topology Generation",
   "zh": "LPTN拓扑构建与参数提取",
   "level": "l3"
  },
  "CAP_483ae4ae": {
   "en": "Loss Online Calculation",
   "zh": "电机损耗在线计算",
   "level": "l3"
  },
  "CAP_a69d4d29": {
   "en": "LPTN State Space Discretization",
   "zh": "LPTN状态空间离散化",
   "level": "l3"
  },
  "CAP_ad42307e": {
   "en": "EKF Temperature Estimation",
   "zh": "EKF温度估计",
   "level": "l3"
  },
  "CAP_f3a74708": {
   "en": "Adaptive Thermal Protection",
   "zh": "自适应热保护",
   "level": "l3"
  },
  "CAP_6324e408": {
   "en": "Motor Thermal Data Acquisition and Cleaning",
   "zh": "电机热数据采集与清洗",
   "level": "l2"
  },
  "CAP_b9a54b9a": {
   "en": "Motor Temporal Feature Engineering",
   "zh": "电机时序特征工程",
   "level": "l2"
  },
  "CAP_4f9a30bb": {
   "en": "Data-driven Winding Temperature Modeling",
   "zh": "数据驱动绕组温度建模",
   "level": "l2"
  },
  "CAP_6c95a5b4": {
   "en": "Edge Model Inference for Motor Temperature",
   "zh": "电机温度边缘推理",
   "level": "l2"
  },
  "CAP_dfcdc5ec": {
   "en": "Model Drift Detection and Retraining",
   "zh": "模型漂移检测与重训练",
   "level": "l2"
  },
  "CAP_1e7711ac": {
   "en": "Motor Sensor Data Acquisition and Cleaning",
   "zh": "电机传感器数据采集与清洗",
   "level": "l3"
  },
  "CAP_b8272267": {
   "en": "Motor Temperature Feature Engineering",
   "zh": "电机温度特征工程",
   "level": "l3"
  },
  "CAP_bf425900": {
   "en": "Motor Winding Temperature Sequence Modeling",
   "zh": "电机绕组温度序列建模",
   "level": "l3"
  },
  "CAP_8a113f8e": {
   "en": "Motor Temperature Online Inference",
   "zh": "电机温度在线推理",
   "level": "l3"
  },
  "CAP_1731acbd": {
   "en": "Motor Temperature Model Drift Detection",
   "zh": "电机温度模型漂移检测",
   "level": "l3"
  },
  "CAP_0e318811": {
   "en": "Detection",
   "zh": "目标检测",
   "level": "l2"
  },
  "CAP_c09286da": {
   "en": "Object Detection (2D)",
   "zh": "二维目标检测",
   "level": "l3"
  },
  "CAP_17f92623": {
   "en": "Kalman Motion Prediction",
   "zh": "卡尔曼运动预测",
   "level": "l3"
  },
  "CAP_210158ab": {
   "en": "Hungarian IoU Association",
   "zh": "匈牙利IoU关联",
   "level": "l3"
  },
  "CAP_aeb86b16": {
   "en": "Cascade Matching",
   "zh": "级联匹配",
   "level": "l3"
  },
  "CAP_91f88f90": {
   "en": "Joint Detection and Embedding MOT",
   "zh": "联合检测与嵌入多目标跟踪",
   "level": "l3"
  },
  "CAP_60fd921d": {
   "en": "Backbone Feature Extraction (DLA-34)",
   "zh": "DLA-34主干特征提取",
   "level": "l3"
  },
  "CAP_c9d97740": {
   "en": "ReID Embedding Head",
   "zh": "重识别嵌入头",
   "level": "l3"
  },
  "CAP_59fd283c": {
   "en": "Center-Aligned ReID Feature Sampling",
   "zh": "中心对齐重识别特征采样",
   "level": "l3"
  },
  "CAP_e78b3bc4": {
   "en": "Multi-task Uncertainty Loss Balancing",
   "zh": "多任务不确定性损失平衡",
   "level": "l3"
  },
  "CAP_42948969": {
   "en": "Kalman Mahalanobis Cosine Cost Fusion",
   "zh": "卡尔曼马氏余弦代价融合",
   "level": "l3"
  },
  "CAP_69346c29": {
   "en": "Multimodal Perception and Detection",
   "zh": "多模态感知与检测",
   "level": "l2"
  },
  "CAP_a6acb0a2": {
   "en": "Fusion and State Estimation",
   "zh": "融合与状态估计",
   "level": "l2"
  },
  "CAP_5fe3ff18": {
   "en": "Association and Track Management",
   "zh": "关联与轨迹管理",
   "level": "l2"
  },
  "CAP_fd537bd3": {
   "en": "Multimodal Temporal Synchronization",
   "zh": "多模态时间同步",
   "level": "l3"
  },
  "CAP_c2280fbc": {
   "en": "3D Multimodal Detection Fusion",
   "zh": "3D多模态检测融合",
   "level": "l3"
  },
  "CAP_98175b55": {
   "en": "3D Kalman Filter State Estimation",
   "zh": "3D卡尔曼滤波状态估计",
   "level": "l3"
  },
  "CAP_b1f17fd2": {
   "en": "3D GIoU Hungarian Association",
   "zh": "3D GIoU匈牙利关联",
   "level": "l3"
  },
  "CAP_c07f5e6e": {
   "en": "MOT Object Detection",
   "zh": "多目标跟踪目标检测",
   "level": "l2"
  },
  "CAP_2b170f6b": {
   "en": "Appearance Embedding for MOT",
   "zh": "多目标跟踪外观嵌入",
   "level": "l2"
  },
  "CAP_3f4396eb": {
   "en": "Motion Prediction for MOT",
   "zh": "多目标跟踪运动预测",
   "level": "l2"
  },
  "CAP_fad38dfb": {
   "en": "Object Detection for MOT",
   "zh": "多目标跟踪目标检测",
   "level": "l3"
  },
  "CAP_517a91dd": {
   "en": "Detection-based Identity Association",
   "zh": "基于检测的身份关联",
   "level": "l3"
  },
  "CAP_caedba8f": {
   "en": "Appearance Gallery Management",
   "zh": "外观库管理",
   "level": "l3"
  },
  "CAP_61ce9dd5": {
   "en": "Joint Detection-ReID Inference",
   "zh": "端到端检测与身份特征联合推理",
   "level": "l3"
  },
  "CAP_19d91da7": {
   "en": "Center-aligned ReID Sampling",
   "zh": "中心点对齐 ReID 特征采样",
   "level": "l3"
  },
  "CAP_75704ddf": {
   "en": "Decoupled Detection-ReID Heads",
   "zh": "解耦检测-ReID 双头",
   "level": "l3"
  },
  "CAP_5900e395": {
   "en": "Joint Loss Optimization",
   "zh": "检测-ReID 多任务联合损失优化",
   "level": "l3"
  },
  "CAP_507947cf": {
   "en": "Online Identity Association",
   "zh": "在线身份关联",
   "level": "l3"
  },
  "CAP_4d302881": {
   "en": "End-to-End Perception",
   "zh": "端到端感知",
   "level": "l2"
  },
  "CAP_6c91c9c3": {
   "en": "Online Association",
   "zh": "在线关联",
   "level": "l2"
  },
  "CAP_4e9042f1": {
   "en": "SpatioTemporal Graph Construction and Encoding",
   "zh": "时空图构建与编码",
   "level": "l2"
  },
  "CAP_429ca693": {
   "en": "Identity Query Decoding",
   "zh": "身份查询解码",
   "level": "l2"
  },
  "CAP_633041db": {
   "en": "Trajectory State Update",
   "zh": "轨迹状态更新",
   "level": "l3"
  },
  "CAP_e54e58bb": {
   "en": "spatiotemporal graph construction",
   "zh": "时空图构建",
   "level": "l3"
  },
  "CAP_1d489960": {
   "en": "spatial relation encoding",
   "zh": "空间关系编码",
   "level": "l3"
  },
  "CAP_5253c965": {
   "en": "Cross Frame Attention Reasoning",
   "zh": "跨帧注意力推理",
   "level": "l3"
  },
  "CAP_661fd6ce": {
   "en": "Trajectory Memory Maintenance",
   "zh": "轨迹记忆维护",
   "level": "l3"
  },
  "CAP_68e3be74": {
   "en": "Motion Modeling and Initialization",
   "zh": "运动建模与初始化",
   "level": "l2"
  },
  "CAP_d5958795": {
   "en": "Occlusion Aware Tracking",
   "zh": "遮挡感知跟踪",
   "level": "l2"
  },
  "CAP_bafed7e8": {
   "en": "Model Adaptation and Maintenance",
   "zh": "模型自适应与维护",
   "level": "l3"
  },
  "CAP_05c53ef5": {
   "en": "Motion State Initialization and Modeling",
   "zh": "运动状态初始化与建模",
   "level": "l3"
  },
  "CAP_ce942188": {
   "en": "Occlusion State Detector",
   "zh": "遮挡状态检测器",
   "level": "l3"
  },
  "CAP_666b8475": {
   "en": "Occlusion Aware Motion Prediction",
   "zh": "遮挡感知运动预测",
   "level": "l3"
  },
  "CAP_9ea97f49": {
   "en": "Occlusion Robust ReID",
   "zh": "遮挡鲁棒重识别",
   "level": "l3"
  },
  "CAP_22bafc12": {
   "en": "Adaptive Motion ReID Fusion",
   "zh": "自适应运动-重识别融合",
   "level": "l3"
  },
  "CAP_8dc266dd": {
   "en": "Track State Synchronization",
   "zh": "轨迹状态同步",
   "level": "l3"
  },
  "CAP_51ec8e55": {
   "en": "Adaptive Motion Model Update",
   "zh": "自适应运动模型更新",
   "level": "l3"
  },
  "CAP_c3fae9f0": {
   "en": "End-to-End Memory Initialization",
   "zh": "端到端记忆初始化",
   "level": "l2"
  },
  "CAP_7984b24f": {
   "en": "Occlusion Prediction and Memory Maintenance",
   "zh": "遮挡预测与记忆维护",
   "level": "l2"
  },
  "CAP_5001c039": {
   "en": "Query-based Association and Recovery",
   "zh": "查询式关联与恢复",
   "level": "l2"
  },
  "CAP_5eda9239": {
   "en": "Memory Initialization",
   "zh": "记忆初始化",
   "level": "l3"
  },
  "CAP_d726015b": {
   "en": "Gated Memory Update",
   "zh": "门控记忆更新",
   "level": "l3"
  },
  "CAP_c7735421": {
   "en": "Cross-Attention Memory Query",
   "zh": "交叉注意力记忆查询",
   "level": "l3"
  },
  "CAP_f65520f9": {
   "en": "Temporal Memory Pruning",
   "zh": "时序记忆淘汰",
   "level": "l3"
  },
  "CAP_2abb0f41": {
   "en": "Motion-based Occlusion Prediction",
   "zh": "基于运动的遮挡预测",
   "level": "l3"
  },
  "CAP_6de43035": {
   "en": "Trajectory Output and Identity Assignment",
   "zh": "轨迹输出与身份分配",
   "level": "l3"
  },
  "CAP_8a253e9d": {
   "en": "Association Result Merging",
   "zh": "关联结果合并",
   "level": "l3"
  },
  "CAP_c671bd08": {
   "en": "Occlusion-Aware Tracking with Neural Rendering and 3D Completion",
   "zh": "神经渲染与3D几何补全的遮挡感知跟踪",
   "level": "l2"
  },
  "CAP_71ec980e": {
   "en": "3D Object Detection and Pose Estimation",
   "zh": "3D目标检测与位姿估计",
   "level": "l3"
  },
  "CAP_8ae12747": {
   "en": "Partial Observation Extraction and Feature Encoding",
   "zh": "部分观测提取与特征编码",
   "level": "l3"
  },
  "CAP_360816ec": {
   "en": "3D Shape Completion from Partial Observation",
   "zh": "基于部分观测的3D形状补全",
   "level": "l3"
  },
  "CAP_0d747be7": {
   "en": "Temporal Shape Deformation Model",
   "zh": "时序形状变形模型",
   "level": "l3"
  },
  "CAP_d1fe2b01": {
   "en": "Neural Radiance Field Rendering for Occlusion",
   "zh": "面向遮挡的神经辐射场渲染",
   "level": "l3"
  },
  "CAP_57472e94": {
   "en": "3D Gaussian Splatting Rendering for Occlusion",
   "zh": "面向遮挡的3D高斯泼溅渲染",
   "level": "l3"
  },
  "CAP_e660cdc3": {
   "en": "Occlusion-Aware Track Association",
   "zh": "遮挡感知跟踪关联",
   "level": "l3"
  },
  "CAP_e436d061": {
   "en": "Detection and Feature Extraction",
   "zh": "检测与特征提取",
   "level": "l2"
  },
  "CAP_6740cd9a": {
   "en": "Motion Prediction and Association",
   "zh": "运动预测与数据关联",
   "level": "l3"
  },
  "CAP_c82dfbcf": {
   "en": "Track Management and State Update",
   "zh": "轨迹管理与状态更新",
   "level": "l2"
  },
  "CAP_231d8869": {
   "en": "Pedestrian Feature Extraction",
   "zh": "行人外观特征提取",
   "level": "l3"
  },
  "CAP_f2bfadf3": {
   "en": "Appearance-Motion Fusion Cost",
   "zh": "外观-运动融合代价计算",
   "level": "l3"
  },
  "CAP_9c381aa2": {
   "en": "Cascade Hungarian Matching",
   "zh": "级联匈牙利匹配",
   "level": "l3"
  },
  "CAP_f731b0fe": {
   "en": "Exponential Moving Average Gallery Update",
   "zh": "指数移动平均特征库更新",
   "level": "l3"
  },
  "CAP_637c7810": {
   "en": "Track State Update",
   "zh": "轨迹状态更新与生命周期管理",
   "level": "l3"
  },
  "CAP_28ef1ced": {
   "en": "JDE Training Data Preparation",
   "zh": "JDE训练数据准备",
   "level": "l2"
  },
  "CAP_b18a08cf": {
   "en": "JDE Network Design",
   "zh": "JDE网络设计",
   "level": "l2"
  },
  "CAP_54925129": {
   "en": "JDE Multi-task Training",
   "zh": "JDE多任务训练",
   "level": "l2"
  },
  "CAP_80b9b555": {
   "en": "JDE Inference and Embedding Extraction",
   "zh": "JDE推理与嵌入提取",
   "level": "l2"
  },
  "CAP_ebc7ecb4": {
   "en": "Multi-task Annotation Data Preparation",
   "zh": "多任务标注数据准备",
   "level": "l3"
  },
  "CAP_b8acc523": {
   "en": "JDE Backbone and Multi-task Head Design",
   "zh": "JDE骨干与多任务头设计",
   "level": "l3"
  },
  "CAP_53c74735": {
   "en": "Multi-task Loss Balancing",
   "zh": "多任务损失平衡",
   "level": "l3"
  },
  "CAP_f081959f": {
   "en": "Joint Detection and Embedding Inference",
   "zh": "联合检测与嵌入推理",
   "level": "l3"
  },
  "CAP_4d23e7bd": {
   "en": "Dense Embedding Map Extraction",
   "zh": "密集嵌入特征图提取",
   "level": "l3"
  },
  "CAP_d9e80224": {
   "en": "Trajectory Context Encoding",
   "zh": "轨迹上下文编码",
   "level": "l2"
  },
  "CAP_5dca2022": {
   "en": "Trajectory Decoding and Uncertainty",
   "zh": "轨迹解码与不确定性估计",
   "level": "l2"
  },
  "CAP_a1dd4e1b": {
   "en": "Trajectory Prediction Postprocessing",
   "zh": "轨迹预测后处理",
   "level": "l2"
  },
  "CAP_e62c4788": {
   "en": "Trajectory Sequence Embedding",
   "zh": "轨迹序列嵌入",
   "level": "l3"
  },
  "CAP_bb3813a8": {
   "en": "Spatial Temporal Encoding",
   "zh": "时空上下文编码",
   "level": "l3"
  },
  "CAP_b9e47b20": {
   "en": "Multimodal Future Decoding",
   "zh": "多模态未来轨迹解码",
   "level": "l3"
  },
  "CAP_3e4fa352": {
   "en": "Prediction Postprocess",
   "zh": "预测后处理",
   "level": "l3"
  },
  "CAP_f483984a": {
   "en": "Geometric Association",
   "zh": "几何关联",
   "level": "l2"
  },
  "CAP_f4b18158": {
   "en": "Motion Model Prediction (3D)",
   "zh": "三维运动模型预测",
   "level": "l3"
  },
  "CAP_b9549a96": {
   "en": "3D IoU Cost Matrix",
   "zh": "三维IoU代价矩阵",
   "level": "l3"
  },
  "CAP_4969a391": {
   "en": "Hungarian Association (3D)",
   "zh": "三维匈牙利关联",
   "level": "l3"
  },
  "CAP_f74c0644": {
   "en": "Kalman State Update (3D)",
   "zh": "三维卡尔曼状态更新",
   "level": "l3"
  },
  "CAP_685abb85": {
   "en": "Temporal Feature Alignment Phase",
   "zh": "时序特征对齐阶段",
   "level": "l2"
  },
  "CAP_d42f57e0": {
   "en": "Joint Detection and Query Phase",
   "zh": "联合检测与查询阶段",
   "level": "l2"
  },
  "CAP_5c7c14d1": {
   "en": "Identity Association and Track Management Phase",
   "zh": "身份关联与轨迹管理阶段",
   "level": "l2"
  },
  "CAP_fee3055b": {
   "en": "Motion Prediction and Smoothing Phase",
   "zh": "运动预测与平滑阶段",
   "level": "l2"
  },
  "CAP_29467c28": {
   "en": "Spatiotemporal Feature Alignment",
   "zh": "时空特征对齐与提取",
   "level": "l3"
  },
  "CAP_2e4b28e3": {
   "en": "Tracklet Motion Prediction",
   "zh": "轨迹运动预测",
   "level": "l3"
  },
  "CAP_f0989790": {
   "en": "Multimodal Fusion and Scene Flow Tracking",
   "zh": "多模态融合与场景流跟踪",
   "level": "l2"
  },
  "CAP_5536867e": {
   "en": "Multimodal Spatiotemporal Alignment",
   "zh": "多模态时空对齐",
   "level": "l3"
  },
  "CAP_64caf70f": {
   "en": "BEV Multimodal Feature Fusion",
   "zh": "BEV多模态特征融合",
   "level": "l3"
  },
  "CAP_cc997f04": {
   "en": "LiDAR Scene Flow Estimation",
   "zh": "激光雷达场景流估计",
   "level": "l3"
  },
  "CAP_3ed50188": {
   "en": "Flow-Augmented Motion Prediction",
   "zh": "场景流增强运动预测",
   "level": "l3"
  },
  "CAP_7cd34227": {
   "en": "Flow-Augmented Data Association",
   "zh": "场景流增强数据关联",
   "level": "l3"
  },
  "CAP_4f59d919": {
   "en": "Hierarchical Constraint Classification",
   "zh": "分层约束分类",
   "level": "l3"
  },
  "CAP_d0965ed4": {
   "en": "QP Slack Augmentation",
   "zh": "QP松弛增广",
   "level": "l3"
  },
  "CAP_39cd056c": {
   "en": "Hierarchical Penalty Weighting",
   "zh": "分层惩罚权重",
   "level": "l3"
  },
  "CAP_4a3bc0cf": {
   "en": "QP Solving for Augmented Slack QP",
   "zh": "增广QP求解",
   "level": "l3"
  },
  "CAP_d3460529": {
   "en": "Slack Monitoring and Adaptation",
   "zh": "松弛监控与自适应",
   "level": "l3"
  },
  "CAP_a5746b1e": {
   "en": "Operational Space Task and Nullspace Basis",
   "zh": "操作空间任务与零空间基计算",
   "level": "l2"
  },
  "CAP_56d28216": {
   "en": "Safety Constraint Modeling and Nullspace Projection",
   "zh": "安全约束建模与零空间投影",
   "level": "l2"
  },
  "CAP_992bfe76": {
   "en": "MPC Safety Filter QP",
   "zh": "MPC安全滤波QP",
   "level": "l2"
  },
  "CAP_1dc7cfbd": {
   "en": "Task Space Jacobian Computation",
   "zh": "任务空间雅可比计算",
   "level": "l3"
  },
  "CAP_1103ec78": {
   "en": "Nullspace Projection Computation",
   "zh": "零空间投影计算",
   "level": "l3"
  },
  "CAP_762ac9bb": {
   "en": "Collision Distance Gradient",
   "zh": "碰撞距离与梯度计算",
   "level": "l3"
  },
  "CAP_3fc62232": {
   "en": "Joint Limit Potential Field",
   "zh": "关节限位势场",
   "level": "l3"
  },
  "CAP_0c80bb9d": {
   "en": "Hierarchical Nullspace Projector",
   "zh": "分层零空间投影器",
   "level": "l3"
  },
  "CAP_51d9fcac": {
   "en": "Diffusion Constraint Projection",
   "zh": "扩散模型约束投影",
   "level": "l2"
  },
  "CAP_45b51d32": {
   "en": "Constraint Dataset Generation",
   "zh": "约束数据集生成",
   "level": "l3"
  },
  "CAP_3baceb15": {
   "en": "Conditional Diffusion Model Training",
   "zh": "条件扩散模型训练",
   "level": "l3"
  },
  "CAP_f1bbc44d": {
   "en": "Diffusion Feasible Trajectory Generation",
   "zh": "扩散可行轨迹生成",
   "level": "l3"
  },
  "CAP_46878598": {
   "en": "Constraint Guided Diffusion Sampling",
   "zh": "约束引导扩散采样",
   "level": "l3"
  },
  "CAP_c715f553": {
   "en": "Safety Projection Layer",
   "zh": "安全投影层",
   "level": "l3"
  },
  "CAP_9ff5f25d": {
   "en": "State Estimation and Model Linearization",
   "zh": "状态估计与模型线性化",
   "level": "l2"
  },
  "CAP_ac239602": {
   "en": "Reference Trajectory and Gait Scheduling",
   "zh": "参考轨迹生成与步态调度",
   "level": "l3"
  },
  "CAP_dd771433": {
   "en": "MPC Force Allocation Problem Formulation",
   "zh": "MPC力分配优化问题构建",
   "level": "l2"
  },
  "CAP_7aa89e40": {
   "en": "Contact Schedule Embedding",
   "zh": "接触调度嵌入",
   "level": "l3"
  },
  "CAP_67241624": {
   "en": "QP Solving and Force Command",
   "zh": "QP求解与力指令下发",
   "level": "l2"
  },
  "CAP_49d5bfed": {
   "en": "Static Force Allocation",
   "zh": "静态力分配",
   "level": "l3"
  },
  "CAP_6332965a": {
   "en": "Force to Joint Torque Mapping",
   "zh": "力到关节力矩映射",
   "level": "l2"
  },
  "CAP_e02f9f5f": {
   "en": "Manipulator NMPC Force Control",
   "zh": "机械臂约束环境NMPC力控",
   "level": "l2"
  },
  "CAP_1120abf4": {
   "en": "NMPC Force Tracking Control",
   "zh": "NMPC力跟踪控制",
   "level": "l3"
  },
  "CAP_bca6fc62": {
   "en": "Contact Transition MPC",
   "zh": "接触过渡MPC",
   "level": "l3"
  },
  "CAP_94df8590": {
   "en": "Adaptive Environment Estimation",
   "zh": "自适应环境参数估计",
   "level": "l3"
  },
  "CAP_36c9382b": {
   "en": "Real-Time NMPC Solver",
   "zh": "实时NMPC求解器",
   "level": "l3"
  },
  "CAP_8ba433fe": {
   "en": "Sensorless Force Observer",
   "zh": "无传感器力观测器",
   "level": "l3"
  },
  "CAP_0dbbf86d": {
   "en": "Learning Model Training",
   "zh": "学习模型训练",
   "level": "l2"
  },
  "CAP_a1e0b75e": {
   "en": "MPC Integration and Online Optimization",
   "zh": "MPC集成与在线优化",
   "level": "l2"
  },
  "CAP_6e9723a8": {
   "en": "Force Trajectory Prediction",
   "zh": "力轨迹预测",
   "level": "l3"
  },
  "CAP_fd4fd0bf": {
   "en": "Constraint Boundary Learning",
   "zh": "约束边界学习",
   "level": "l3"
  },
  "CAP_23ab6de0": {
   "en": "Hybrid Model Construction",
   "zh": "混合模型构建",
   "level": "l3"
  },
  "CAP_3f90bf26": {
   "en": "Safe Exploration MPC",
   "zh": "安全探索MPC",
   "level": "l3"
  },
  "CAP_954dd7bf": {
   "en": "Conservative MPC Fallback",
   "zh": "保守MPC回退",
   "level": "l3"
  },
  "CAP_2ff0cb2d": {
   "en": "Real-time Inference Optimization",
   "zh": "实时推理优化",
   "level": "l3"
  },
  "CAP_ab80b5c5": {
   "en": "Anomaly Detection and Fallback",
   "zh": "异常检测与回退",
   "level": "l3"
  },
  "CAP_4e826ded": {
   "en": "State Prediction and Camera State Augmentation",
   "zh": "状态预测与相机状态增广",
   "level": "l2"
  },
  "CAP_f6fd2175": {
   "en": "Visual Measurement Update and State Maintenance",
   "zh": "视觉测量更新与状态维护",
   "level": "l2"
  },
  "CAP_a4fcb7e9": {
   "en": "Multimodal MSCKF Frontend and Propagation",
   "zh": "多模态MSCKF前端与状态传播",
   "level": "l2"
  },
  "CAP_a32584b6": {
   "en": "Multimodal MSCKF Observation Update and Maintenance",
   "zh": "多模态MSCKF观测更新与状态维护",
   "level": "l2"
  },
  "CAP_e96c2b4a": {
   "en": "Visual Feature Tracking",
   "zh": "视觉特征跟踪",
   "level": "l3"
  },
  "CAP_ea3d8a54": {
   "en": "GPS Fusion (MSCKF-based)",
   "zh": "基于MSCKF的GPS融合",
   "level": "l3"
  },
  "CAP_d5c5c76c": {
   "en": "Wheel Odometry Fusion (MSCKF-based)",
   "zh": "基于MSCKF的轮速计融合",
   "level": "l3"
  },
  "CAP_42a061a2": {
   "en": "LiDAR Fusion (MSCKF-based)",
   "zh": "基于MSCKF的LiDAR融合",
   "level": "l3"
  },
  "CAP_28575b31": {
   "en": "Fusion Diagnostics and Adaptive Tuning",
   "zh": "融合诊断与自适应调整",
   "level": "l3"
  },
  "CAP_d4dda3f9": {
   "en": "Multicopter Attitude Control",
   "zh": "多旋翼姿态控制",
   "level": "l2"
  },
  "CAP_f65929de": {
   "en": "ADRC Attitude Control",
   "zh": "自抗扰姿态控制",
   "level": "l3"
  },
  "CAP_ecc5cde1": {
   "en": "Hybrid Cascaded PID-ADRC Control",
   "zh": "级联PID-ADRC混合姿态控制",
   "level": "l3"
  },
  "CAP_9452081c": {
   "en": "Multicopter Control Allocation",
   "zh": "多旋翼控制分配",
   "level": "l3"
  },
  "CAP_3879f683": {
   "en": "Multilingual OCR",
   "zh": "多语言光学字符识别",
   "level": "l2"
  },
  "CAP_aa4bfcf1": {
   "en": "Multilingual Image Preprocessing",
   "zh": "多语种图像预处理",
   "level": "l3"
  },
  "CAP_783ac83b": {
   "en": "Multilingual Text Detection",
   "zh": "多语种文本检测",
   "level": "l3"
  },
  "CAP_e5245d69": {
   "en": "Text Region Crop And Rectify",
   "zh": "文本区域裁剪与校正",
   "level": "l3"
  },
  "CAP_8d7e5ab1": {
   "en": "Script Identification",
   "zh": "文字系统与语种识别",
   "level": "l3"
  },
  "CAP_a62eb88b": {
   "en": "Multilingual Text Recognition",
   "zh": "多语种文本识别",
   "level": "l3"
  },
  "CAP_5ce682bb": {
   "en": "E2E Multilingual Visual Encoding",
   "zh": "端到端多语种视觉特征编码",
   "level": "l3"
  },
  "CAP_e18c03d0": {
   "en": "Seq2Seq Translation Decoding",
   "zh": "序列到序列翻译解码",
   "level": "l3"
  },
  "CAP_ae9fce96": {
   "en": "Multilingual Spatial Attention",
   "zh": "多语种空间注意力对齐",
   "level": "l3"
  },
  "CAP_478505dd": {
   "en": "Multilingual Data Synthesis",
   "zh": "多语种训练数据合成",
   "level": "l3"
  },
  "CAP_14b470d1": {
   "en": "Multilingual VLA Perception",
   "zh": "多语言VLA感知编码",
   "level": "l2"
  },
  "CAP_9a6feb3e": {
   "en": "Cross-lingual VLA Grounding",
   "zh": "多语言VLA融合锚定",
   "level": "l2"
  },
  "CAP_d0e737c4": {
   "en": "Multilingual VLA Action Decoding",
   "zh": "多语言VLA动作解码",
   "level": "l2"
  },
  "CAP_3318dffa": {
   "en": "Closed-loop VLA Execution",
   "zh": "多语言VLA闭环执行",
   "level": "l2"
  },
  "CAP_9efffe69": {
   "en": "Multilingual Instruction Encoding",
   "zh": "多语言指令编码",
   "level": "l3"
  },
  "CAP_fc82a947": {
   "en": "Cross-lingual Visual Grounding",
   "zh": "跨语言视觉语义锚定",
   "level": "l3"
  },
  "CAP_2a858ea8": {
   "en": "Multilingual Action Decoding",
   "zh": "多语言动作解码",
   "level": "l3"
  },
  "CAP_3e706307": {
   "en": "Zero-shot Language Transfer",
   "zh": "零样本语言迁移",
   "level": "l3"
  },
  "CAP_baca7466": {
   "en": "Closed-loop Multilingual Replanning",
   "zh": "多语言闭环重规划",
   "level": "l3"
  },
  "CAP_41d813b5": {
   "en": "Multilingual Code Planning",
   "zh": "多语言代码规划",
   "level": "l2"
  },
  "CAP_d8e323de": {
   "en": "Multilingual Perception Grounding",
   "zh": "多语言感知锚定",
   "level": "l2"
  },
  "CAP_c95ed092": {
   "en": "Safe Code Generation",
   "zh": "安全代码生成",
   "level": "l2"
  },
  "CAP_df790c66": {
   "en": "Code Execution & Replanning",
   "zh": "代码执行与重规划",
   "level": "l2"
  },
  "CAP_f8e1a28c": {
   "en": "Multilingual Instruction to Task Graph",
   "zh": "多语言指令到任务图",
   "level": "l3"
  },
  "CAP_2600887d": {
   "en": "Multilingual Few-shot Prompt Bank",
   "zh": "多语言少样本提示库",
   "level": "l3"
  },
  "CAP_ab2404d8": {
   "en": "Cross-lingual Object Grounding",
   "zh": "跨语言物体锚定",
   "level": "l3"
  },
  "CAP_31334fee": {
   "en": "Safe Robot Code Generation",
   "zh": "安全机器人代码生成",
   "level": "l3"
  },
  "CAP_86166c3f": {
   "en": "Multilingual Encoding & Alignment",
   "zh": "多语言编码与对齐",
   "level": "l2"
  },
  "CAP_deb247b9": {
   "en": "Language-agnostic Semantic Abstraction",
   "zh": "语言无关语义抽象",
   "level": "l2"
  },
  "CAP_68e51f24": {
   "en": "Vision-Language Fusion & Grounding",
   "zh": "视觉-语言融合与接地",
   "level": "l2"
  },
  "CAP_eb075e19": {
   "en": "Skill Library Routing",
   "zh": "技能库路由",
   "level": "l2"
  },
  "CAP_d6584e15": {
   "en": "Low-resource Language Fallback",
   "zh": "低资源语言回退",
   "level": "l3"
  },
  "CAP_4a31b472": {
   "en": "Cross-cultural Instruction Normalization",
   "zh": "跨文化指令标准化",
   "level": "l3"
  },
  "CAP_eb32ad19": {
   "en": "Global Phoneme MoE Acoustic Modeling",
   "zh": "全局音素集混合专家声学建模",
   "level": "l2"
  },
  "CAP_34a4945f": {
   "en": "Log-Mel Front-end Feature Extraction",
   "zh": "对数梅尔前端特征提取",
   "level": "l3"
  },
  "CAP_9ee5b661": {
   "en": "Multilingual ASR Decoding",
   "zh": "多语种语音解码",
   "level": "l3"
  },
  "CAP_12b8f29d": {
   "en": "Global Phoneme Mapping",
   "zh": "全局音素映射",
   "level": "l3"
  },
  "CAP_50ca16b0": {
   "en": "Sparse MoE Acoustic Encoder",
   "zh": "稀疏混合专家声学编码器",
   "level": "l3"
  },
  "CAP_63bd2d22": {
   "en": "Language-Adaptive MoE Routing",
   "zh": "语言自适应混合专家路由",
   "level": "l3"
  },
  "CAP_039c1ca9": {
   "en": "Cross-lingual SSL Pretrain Adaptation",
   "zh": "跨语言自监督预训练与低资源适配",
   "level": "l2"
  },
  "CAP_c922a2d0": {
   "en": "Cross-lingual SSL Pretraining",
   "zh": "跨语言自监督预训练",
   "level": "l3"
  },
  "CAP_edfcb1bd": {
   "en": "Low-resource CTC Fine-tuning",
   "zh": "低资源CTC微调",
   "level": "l3"
  },
  "CAP_8bf1c4cc": {
   "en": "Multilingual Joint Fine-tuning",
   "zh": "多语种联合微调",
   "level": "l3"
  },
  "CAP_6a1652f1": {
   "en": "Unified Multimodal Sequence Concatenation",
   "zh": "多模态统一序列拼接",
   "level": "l3"
  },
  "CAP_fa0771c2": {
   "en": "Single Stream Transformer Fusion Backbone",
   "zh": "单流 Transformer 融合骨干",
   "level": "l3"
  },
  "CAP_61c3d294": {
   "en": "VLA Multimodal Tokenization",
   "zh": "VLA 多模态 Token 化（伞形）",
   "level": "l2"
  },
  "CAP_ca6212b1": {
   "en": "VLA Unified Transformer Fusion",
   "zh": "VLA 统一 Transformer 融合（伞形）",
   "level": "l2"
  },
  "CAP_188d14ba": {
   "en": "3D-Language Contrastive Alignment",
   "zh": "3D-语言对比对齐",
   "level": "l3"
  },
  "CAP_debd95eb": {
   "en": "Language-Conditioned 3D Feature Fusion",
   "zh": "语言条件化 3D 特征融合",
   "level": "l3"
  },
  "CAP_9faa5cc5": {
   "en": "Open-Vocabulary 3D Semantic Heatmap",
   "zh": "开放词汇 3D 语义热力图",
   "level": "l3"
  },
  "CAP_b72a9f14": {
   "en": "Multiview Consistent 3D Grounding",
   "zh": "多视图一致 3D 语言定位",
   "level": "l3"
  },
  "CAP_a1b02e84": {
   "en": "Geometry-Aware Referring Expression",
   "zh": "几何感知指代表达理解",
   "level": "l3"
  },
  "CAP_710e3994": {
   "en": "3D Language Backbone Fusion Frontend",
   "zh": "3D-语言骨干融合前端（伞形）",
   "level": "l2"
  },
  "CAP_670ef0ff": {
   "en": "Cross-Modal Fusion and Alignment",
   "zh": "跨模态融合与对齐（伞形）",
   "level": "l2"
  },
  "CAP_e4ab722d": {
   "en": "3D Language Alignment Decoding",
   "zh": "3D-语言对齐解码（伞形）",
   "level": "l2"
  },
  "CAP_a68949ea": {
   "en": "Multimodal Signal Synchronization",
   "zh": "多模态信号同步",
   "level": "l3"
  },
  "CAP_5cf25186": {
   "en": "Tactile-Visuo-Proprio Fusion",
   "zh": "触觉-视觉-本体感知融合",
   "level": "l3"
  },
  "CAP_dd5b9980": {
   "en": "Slip Detection from Fusion",
   "zh": "融合特征滑动检测",
   "level": "l3"
  },
  "CAP_c94dd592": {
   "en": "Contact-Rich Pose Refinement",
   "zh": "接触丰富姿态修正",
   "level": "l3"
  },
  "CAP_61dfbbb5": {
   "en": "Multimodal Synchronization Frontend",
   "zh": "多模态信号同步前端（伞形）",
   "level": "l2"
  },
  "CAP_34217e03": {
   "en": "Tactile-Visuo-Proprio Fusion Pipeline",
   "zh": "触觉-视觉-本体感知融合（伞形）",
   "level": "l2"
  },
  "CAP_c7b88802": {
   "en": "Fine-Manipulation Perception Decoding",
   "zh": "精细操作感知解码（伞形）",
   "level": "l2"
  },
  "CAP_a361c2ae": {
   "en": "Generative World Model Encoder",
   "zh": "生成式世界模型编码器",
   "level": "l2"
  },
  "CAP_1c36ea43": {
   "en": "Visual Dynamics Encoding",
   "zh": "视觉动态编码",
   "level": "l3"
  },
  "CAP_e87c9986": {
   "en": "Tactile Contact Encoding",
   "zh": "触觉接触编码",
   "level": "l3"
  },
  "CAP_1a4d3598": {
   "en": "Proprioceptive State Encoding",
   "zh": "本体感知状态编码",
   "level": "l3"
  },
  "CAP_2b104450": {
   "en": "Language Grounded Fusion",
   "zh": "语言条件融合编码",
   "level": "l3"
  },
  "CAP_9f7dc791": {
   "en": "Multimodal Sequence Modeling",
   "zh": "多模态序列建模",
   "level": "l3"
  },
  "CAP_9678e0ac": {
   "en": "Future Frame Generation",
   "zh": "未来帧生成",
   "level": "l3"
  },
  "CAP_bbf252ed": {
   "en": "Generative Self-Supervised Objective",
   "zh": "生成式自监督预训练目标",
   "level": "l3"
  },
  "CAP_0ea73248": {
   "en": "Reusable Embodied Foundation Encoder",
   "zh": "可复用具身基础模型编码器",
   "level": "l2"
  },
  "CAP_27836d41": {
   "en": "Multimodal Tokenization and Alignment",
   "zh": "多模态令牌化与对齐",
   "level": "l3"
  },
  "CAP_ff51dd31": {
   "en": "Modality Masking and Reconstruction",
   "zh": "模态掩码与重建",
   "level": "l3"
  },
  "CAP_5eac96ad": {
   "en": "3D Geometry and Semantic Alignment Encoder",
   "zh": "3D几何与语义对齐编码器",
   "level": "l2"
  },
  "CAP_c78294d9": {
   "en": "3D Semantic Field Construction",
   "zh": "3D语义场构建",
   "level": "l3"
  },
  "CAP_a7398929": {
   "en": "Language Grounded 3D Query",
   "zh": "语言条件3D语义查询",
   "level": "l3"
  },
  "CAP_b08f0bcd": {
   "en": "Multiview Feature Consistency",
   "zh": "多视角特征一致性",
   "level": "l3"
  },
  "CAP_10fe68d9": {
   "en": "Real-time 3D Semantic Mapping",
   "zh": "实时3D语义建图",
   "level": "l3"
  },
  "CAP_6c90447f": {
   "en": "Multimodal Tensor Fusion Pipeline",
   "zh": "多模态张量融合流水线",
   "level": "l2"
  },
  "CAP_e675e068": {
   "en": "Static Multimodal Tensor Fusion",
   "zh": "静态多模态张量融合",
   "level": "l3"
  },
  "CAP_e2f6f0f8": {
   "en": "Low-rank Multimodal Fusion",
   "zh": "低秩多模态融合",
   "level": "l3"
  },
  "CAP_f5a17249": {
   "en": "Multimodal Embedding Expansion",
   "zh": "多模态嵌入扩展",
   "level": "l3"
  },
  "CAP_05290619": {
   "en": "Emotion Classification Head",
   "zh": "情感分类头",
   "level": "l3"
  },
  "CAP_8804a077": {
   "en": "Multimodal Transformer Fusion Pipeline",
   "zh": "多模态Transformer融合流水线",
   "level": "l2"
  },
  "CAP_17ba32a3": {
   "en": "Temporal Position Encoding",
   "zh": "时序位置编码",
   "level": "l3"
  },
  "CAP_3e218324": {
   "en": "Intramodal Temporal Self-Attention",
   "zh": "模态内时序自注意力",
   "level": "l3"
  },
  "CAP_24332211": {
   "en": "Multimodal Temporal Fusion Concat",
   "zh": "多模态时序融合拼接",
   "level": "l3"
  },
  "CAP_e4c3d385": {
   "en": "Emotion Prediction Head",
   "zh": "情感预测头",
   "level": "l3"
  },
  "CAP_8876a8a5": {
   "en": "Multimodal Goal Embedding",
   "zh": "多模态目标嵌入",
   "level": "l3"
  },
  "CAP_425a615a": {
   "en": "Open-Vocabulary Target Matching",
   "zh": "开放词汇目标匹配",
   "level": "l3"
  },
  "CAP_8fea0fa4": {
   "en": "Open-Vocabulary Scene Matching",
   "zh": "开放词汇场景匹配",
   "level": "l2"
  },
  "CAP_8b862e05": {
   "en": "Local Navigation Execution (VLN)",
   "zh": "局部导航执行(VLN)",
   "level": "l2"
  },
  "CAP_c91c61dc": {
   "en": "Multimodal Temporal-Spatial Alignment",
   "zh": "多模态时空对齐",
   "level": "l3"
  },
  "CAP_2c1e6ec0": {
   "en": "Cross-Modal Reference Resolution",
   "zh": "跨模态指代消解",
   "level": "l3"
  },
  "CAP_70ea3832": {
   "en": "Multimodal Goal State Fusion",
   "zh": "多模态目标状态融合",
   "level": "l3"
  },
  "CAP_918f7fb0": {
   "en": "Interactive Goal Disambiguation",
   "zh": "交互式目标消歧",
   "level": "l3"
  },
  "CAP_3668e10c": {
   "en": "Cross-Modal Query Encoding",
   "zh": "跨模态查询编码",
   "level": "l3"
  },
  "CAP_fde8c638": {
   "en": "ReID Feature Library Management",
   "zh": "重识别特征库管理",
   "level": "l3"
  },
  "CAP_0c8bbe54": {
   "en": "Diffusion Multimodal Imitation Pipeline",
   "zh": "扩散式多模态模仿流水线",
   "level": "l2"
  },
  "CAP_e1058bec": {
   "en": "Diffusion-Based Multimodal Action Generation",
   "zh": "基于扩散模型的多模态动作生成",
   "level": "l3"
  },
  "CAP_46044d70": {
   "en": "Multimodal Condition Encoding",
   "zh": "多模态条件编码",
   "level": "l3"
  },
  "CAP_c9b84be4": {
   "en": "VLM Semantic Hierarchical Planning",
   "zh": "VLM语义分层规划",
   "level": "l2"
  },
  "CAP_c20596ef": {
   "en": "Hierarchical Task Planning",
   "zh": "分层任务规划",
   "level": "l3"
  },
  "CAP_07353c00": {
   "en": "Scene Semantic Parsing",
   "zh": "场景语义解析",
   "level": "l3"
  },
  "CAP_86b7a6b0": {
   "en": "Tactile-Visual-Force Imitation",
   "zh": "触觉-视觉-力觉模仿",
   "level": "l2"
  },
  "CAP_6bc80ac0": {
   "en": "Tactile Servoing for Contact-Rich Tasks",
   "zh": "接触丰富任务触觉伺服",
   "level": "l3"
  },
  "CAP_39c20004": {
   "en": "Geometric State Estimation",
   "zh": "几何状态估计与定位",
   "level": "l2"
  },
  "CAP_374b9786": {
   "en": "Human Keypoint Detection",
   "zh": "人体关键点检测",
   "level": "l3"
  },
  "CAP_3fa6aafb": {
   "en": "Gaze Vector Estimation",
   "zh": "视线向量估计",
   "level": "l3"
  },
  "CAP_a93651e0": {
   "en": "Pointing Ray Reconstruction",
   "zh": "手势指向射线重建",
   "level": "l3"
  },
  "CAP_546570c8": {
   "en": "Coordinate System Alignment",
   "zh": "坐标系对齐",
   "level": "l3"
  },
  "CAP_48f8f60f": {
   "en": "Language-Visual Policy Learning",
   "zh": "语言-视觉策略学习",
   "level": "l2"
  },
  "CAP_61507123": {
   "en": "Speech-Gesture-Facial Co-Generation",
   "zh": "语音-手势-表情联合生成",
   "level": "l2"
  },
  "CAP_4cba714f": {
   "en": "Semantic Gesture Generation",
   "zh": "语义手势生成",
   "level": "l3"
  },
  "CAP_8cfd8f8e": {
   "en": "Prosody-driven Gesture Generation",
   "zh": "韵律驱动手势生成",
   "level": "l3"
  },
  "CAP_dc98906a": {
   "en": "Audio-driven Facial Animation",
   "zh": "音频驱动面部动画",
   "level": "l3"
  },
  "CAP_92f6d4c1": {
   "en": "Unified Affect-driven Expression Coordination",
   "zh": "统一情感驱动表达协调",
   "level": "l3"
  },
  "CAP_0b4d9edc": {
   "en": "Language-Navigation-Grasp Coordination",
   "zh": "语言-导航-抓取协调",
   "level": "l2"
  },
  "CAP_9cc3b168": {
   "en": "Language-instructed Task Decomposition",
   "zh": "语言指令任务分解",
   "level": "l3"
  },
  "CAP_657d78d9": {
   "en": "Navigation Goal Grounding",
   "zh": "导航目标接地",
   "level": "l3"
  },
  "CAP_f8f8e269": {
   "en": "Coordinated Mobile Pick",
   "zh": "协调式移动抓取",
   "level": "l3"
  },
  "CAP_6c4a1335": {
   "en": "Safety Interlock (Nav-Arm)",
   "zh": "导航-机械臂安全互锁",
   "level": "l3"
  },
  "CAP_20ab29f7": {
   "en": "Multimodal Task Feedback",
   "zh": "多模态任务反馈",
   "level": "l3"
  },
  "CAP_69d7617a": {
   "en": "Whole-Body Teleoperation Retargeting",
   "zh": "全身遥操作重定向协调",
   "level": "l2"
  },
  "CAP_f7743fc0": {
   "en": "Facial Expression Retargeting",
   "zh": "面部表情重定向",
   "level": "l3"
  },
  "CAP_60b958bf": {
   "en": "Locomotion Command Mapping",
   "zh": "移动底盘指令映射",
   "level": "l3"
  },
  "CAP_ca8c2eed": {
   "en": "Whole-Body Coordination Control",
   "zh": "全身协调控制",
   "level": "l3"
  },
  "CAP_032ae00d": {
   "en": "VLA Perception Encoding",
   "zh": "多模态感知编码",
   "level": "l2"
  },
  "CAP_4bfe8bc2": {
   "en": "VLA Actuation",
   "zh": "动作解码与安全执行",
   "level": "l2"
  },
  "CAP_a825adc4": {
   "en": "VLA Visual Language Encoding",
   "zh": "多模态指令编码",
   "level": "l3"
  },
  "CAP_20a4fe5f": {
   "en": "VLA Cross-modal Fusion",
   "zh": "跨模态融合推理",
   "level": "l3"
  },
  "CAP_1054fff6": {
   "en": "VLA Autoregressive Action Generation",
   "zh": "自回归动作生成",
   "level": "l3"
  },
  "CAP_802a3c86": {
   "en": "VLA Action Safety Execution",
   "zh": "动作安全执行",
   "level": "l3"
  },
  "CAP_82ddccd6": {
   "en": "Hierarchical Spatial Reasoning",
   "zh": "任务分解与空间解析",
   "level": "l2"
  },
  "CAP_15ba5dbc": {
   "en": "Spatial Manipulation Planning",
   "zh": "抓取与动作规划",
   "level": "l2"
  },
  "CAP_5f733151": {
   "en": "Execution Monitoring and Replanning",
   "zh": "执行监控与重规划",
   "level": "l2"
  },
  "CAP_a2ba5e1a": {
   "en": "Hierarchical Task Decomposition",
   "zh": "高层任务分解与空间区域划分",
   "level": "l3"
  },
  "CAP_b5dacd69": {
   "en": "Hierarchical Grasp Planning",
   "zh": "操作区域精细化与抓取点推理",
   "level": "l3"
  },
  "CAP_93f02a35": {
   "en": "Generative Physics Simulation",
   "zh": "感知状态提取与仿真预测",
   "level": "l2"
  },
  "CAP_8a0e9f2b": {
   "en": "Adaptive Physics Calibration",
   "zh": "模型自适应更新",
   "level": "l2"
  },
  "CAP_6868c484": {
   "en": "Multimodal State Extraction for Simulation",
   "zh": "多模态感知状态提取",
   "level": "l3"
  },
  "CAP_9e3b5dd1": {
   "en": "Generative Physics Rollout Prediction",
   "zh": "生成式物理仿真前向预测",
   "level": "l3"
  },
  "CAP_86fde011": {
   "en": "Physics Anomaly Detection and Alert",
   "zh": "物理异常检测与告警",
   "level": "l3"
  },
  "CAP_da8e800b": {
   "en": "Multimodal Closed-loop Verification",
   "zh": "多模态闭环验证与误差量化",
   "level": "l3"
  },
  "CAP_d6da8d11": {
   "en": "Adaptive Physics Model Calibration",
   "zh": "仿真模型自适应更新",
   "level": "l3"
  },
  "CAP_b0c8d692": {
   "en": "Multimodal Execution Feedback Collection",
   "zh": "真实反馈采集",
   "level": "l3"
  },
  "CAP_74ffb037": {
   "en": "Open-Vocab 3D Query Localization",
   "zh": "开放词汇3D查询定位",
   "level": "l3"
  },
  "CAP_20235f05": {
   "en": "3D Point Cloud CLIP Alignment",
   "zh": "3D点云CLIP对齐",
   "level": "l3"
  },
  "CAP_d7f59b44": {
   "en": "Hierarchical 3D Scene Query",
   "zh": "层次化3D场景查询",
   "level": "l3"
  },
  "CAP_08958403": {
   "en": "Egocentric 4D Dynamic Scene Prediction",
   "zh": "以自我为中心的4D动态场景预测",
   "level": "l2"
  },
  "CAP_680a25ad": {
   "en": "Egocentric 4D Occupancy Forecasting",
   "zh": "以自我为中心4D占用预测",
   "level": "l3"
  },
  "CAP_3ddffded": {
   "en": "Egocentric 4D Interaction Trajectory Prediction",
   "zh": "以自我为中心4D交互轨迹预测",
   "level": "l3"
  },
  "CAP_93d26595": {
   "en": "Egocentric 4D Anticipative Sound Source Localization",
   "zh": "以自我为中心4D预期声源定位",
   "level": "l3"
  },
  "CAP_af951bb6": {
   "en": "Egocentric 4D Visual Completion under Occlusion",
   "zh": "以自我为中心遮挡下4D视觉补全",
   "level": "l3"
  },
  "CAP_170e41ff": {
   "en": "Multi-Source Data Unified Serialization",
   "zh": "多源数据统一序列化",
   "level": "l2"
  },
  "CAP_73f308d0": {
   "en": "Causal Autoregressive Sequence Modeling",
   "zh": "因果自回归序列建模",
   "level": "l2"
  },
  "CAP_17733533": {
   "en": "Multitask Mixture Pretraining",
   "zh": "多任务混合预训练",
   "level": "l2"
  },
  "CAP_53917543": {
   "en": "Action Execution & Safety Clamp",
   "zh": "动作执行与安全裁剪",
   "level": "l3"
  },
  "CAP_fd541461": {
   "en": "Causal Behavior Modeling",
   "zh": "因果行为建模",
   "level": "l3"
  },
  "CAP_10f97307": {
   "en": "Task Conditioned Generation",
   "zh": "任务条件化生成",
   "level": "l3"
  },
  "CAP_e854108f": {
   "en": "Video Decoding & Prediction Loss",
   "zh": "视频解码与预测损失",
   "level": "l2"
  },
  "CAP_5b875817": {
   "en": "Auxiliary Objective & Reward Head",
   "zh": "辅助目标与奖励预测头",
   "level": "l2"
  },
  "CAP_72f151d3": {
   "en": "Video Frame Prediction",
   "zh": "视频帧预测",
   "level": "l3"
  },
  "CAP_1bb04e9c": {
   "en": "Cross-Embodiment Dynamics Sharing",
   "zh": "跨具身动力学共享",
   "level": "l3"
  },
  "CAP_6a90503c": {
   "en": "Reward-Free Pretraining",
   "zh": "无奖励自监督预训练",
   "level": "l3"
  },
  "CAP_aed27470": {
   "en": "Stochastic Multimodal Future Modeling",
   "zh": "随机多模态未来建模",
   "level": "l3"
  },
  "CAP_626ac6ea": {
   "en": "Adaptive Masking for Robotics",
   "zh": "机器人自适应掩码",
   "level": "l3"
  },
  "CAP_c3244332": {
   "en": "Crossmodal Masked Prediction",
   "zh": "跨模态掩码预测",
   "level": "l3"
  },
  "CAP_180b808f": {
   "en": "Temporal Masked Prediction",
   "zh": "时序掩码预测",
   "level": "l3"
  },
  "CAP_4d80a3df": {
   "en": "Multimodal Reconstruction Loss",
   "zh": "多模态重建损失",
   "level": "l2"
  },
  "CAP_32aa20e2": {
   "en": "Per-Modality Reconstruction Loss",
   "zh": "逐模态重建损失",
   "level": "l3"
  },
  "CAP_7b3b7c4a": {
   "en": "Multimodal Loss Aggregation",
   "zh": "多模态损失聚合",
   "level": "l3"
  },
  "CAP_186cd163": {
   "en": "Downstream Adaptation & Distillation",
   "zh": "下游适配与蒸馏",
   "level": "l2"
  },
  "CAP_7b99db51": {
   "en": "Downstream Head Adaptation",
   "zh": "下游任务头适配",
   "level": "l3"
  },
  "CAP_4af5dacf": {
   "en": "Masked Representation Distillation",
   "zh": "掩码表征蒸馏",
   "level": "l3"
  },
  "CAP_537201ef": {
   "en": "Distributed Geometric Collision Avoidance",
   "zh": "分布式几何避碰",
   "level": "l2"
  },
  "CAP_ca2f3118": {
   "en": "Neighborhood State Perception",
   "zh": "邻域状态感知",
   "level": "l3"
  },
  "CAP_91f053f4": {
   "en": "Velocity Obstacle Computation",
   "zh": "速度障碍计算",
   "level": "l3"
  },
  "CAP_474edbfc": {
   "en": "Linear Programming Velocity Selection",
   "zh": "线性规划速度选择",
   "level": "l3"
  },
  "CAP_a8100bd7": {
   "en": "Deadlock Detection and Resolution",
   "zh": "死锁检测与解除",
   "level": "l3"
  },
  "CAP_c7261f51": {
   "en": "Nonholonomic Velocity Mapping",
   "zh": "非完整速度映射",
   "level": "l3"
  },
  "CAP_4e565456": {
   "en": "Probabilistic Velocity Obstacle",
   "zh": "概率速度障碍",
   "level": "l3"
  },
  "CAP_248de1b9": {
   "en": "Emergency Braking",
   "zh": "紧急制动",
   "level": "l3"
  },
  "CAP_1d42a6f6": {
   "en": "Motion Command Execution",
   "zh": "运动指令执行",
   "level": "l3"
  },
  "CAP_6ed6bf38": {
   "en": "Conflict Perception and Game Construction",
   "zh": "冲突感知与博弈构建",
   "level": "l2"
  },
  "CAP_2a385e9e": {
   "en": "Intention Assessment and Negotiation Solving",
   "zh": "意图评估与协商求解",
   "level": "l2"
  },
  "CAP_21080ae5": {
   "en": "Agreement Execution and Monitoring",
   "zh": "协议执行与监控",
   "level": "l2"
  },
  "CAP_670b5e70": {
   "en": "Game Theoretic Conflict Modeling",
   "zh": "博弈论冲突建模",
   "level": "l3"
  },
  "CAP_0b35fcc3": {
   "en": "Intention Prediction and Threat Assessment",
   "zh": "意图预测与威胁评估",
   "level": "l3"
  },
  "CAP_24aa9022": {
   "en": "Strategy Exploration and Bid Generation",
   "zh": "策略探索与出价生成",
   "level": "l3"
  },
  "CAP_08ed351a": {
   "en": "Negotiation Solver and Equilibrium Selection",
   "zh": "协商求解与均衡选择",
   "level": "l3"
  },
  "CAP_3049e5a2": {
   "en": "Iterative Best Response Protocol",
   "zh": "迭代最优响应协议",
   "level": "l3"
  },
  "CAP_a3bb57e7": {
   "en": "Stackelberg Leader Follower Planner",
   "zh": "Stackelberg 领导-跟随规划器",
   "level": "l3"
  },
  "CAP_b4d7010d": {
   "en": "Nash Bargaining Solver",
   "zh": "纳什讨价还价求解器",
   "level": "l3"
  },
  "CAP_e586cd14": {
   "en": "Mean Field Game Approximator",
   "zh": "平均场博弈近似器",
   "level": "l3"
  },
  "CAP_dec26757": {
   "en": "Agreement Broker and Trajectory Execution",
   "zh": "协议代理与轨迹执行",
   "level": "l3"
  },
  "CAP_42e02096": {
   "en": "Semantic Conflict Perception",
   "zh": "语义冲突感知",
   "level": "l2"
  },
  "CAP_35ea1e31": {
   "en": "Context Aggregation and Prompting",
   "zh": "上下文聚合与提示构建",
   "level": "l2"
  },
  "CAP_285c2b13": {
   "en": "LLM Arbitration",
   "zh": "LLM仲裁",
   "level": "l2"
  },
  "CAP_b275653f": {
   "en": "Semantic Conflict Encoding",
   "zh": "语义冲突编码",
   "level": "l3"
  },
  "CAP_fe3457fc": {
   "en": "Rule Based Fast Arbitration",
   "zh": "规则快速仲裁",
   "level": "l3"
  },
  "CAP_b3247115": {
   "en": "RAG Context Retrieval",
   "zh": "RAG上下文检索",
   "level": "l3"
  },
  "CAP_f2813b50": {
   "en": "Context Aggregation and Prompt Construction",
   "zh": "上下文聚合与提示构建",
   "level": "l3"
  },
  "CAP_4da8281a": {
   "en": "LLM Arbitration Reasoning",
   "zh": "LLM仲裁推理",
   "level": "l3"
  },
  "CAP_3553169a": {
   "en": "Multi-agent Negotiation Dialogue",
   "zh": "多智能体协商对话",
   "level": "l3"
  },
  "CAP_c3a08614": {
   "en": "Decision Parsing",
   "zh": "决策解析",
   "level": "l3"
  },
  "CAP_6ebeafd1": {
   "en": "Decision Safety Validation",
   "zh": "决策安全验证",
   "level": "l3"
  },
  "CAP_239f5611": {
   "en": "Human Intervention Escalation",
   "zh": "人工介入升级",
   "level": "l3"
  },
  "CAP_920ca02f": {
   "en": "Execution Monitoring and Feedback",
   "zh": "执行监控与反馈",
   "level": "l3"
  },
  "CAP_a681a3f8": {
   "en": "Centralized Task Decomposition Orchestration",
   "zh": "中心化任务分解编排",
   "level": "l2"
  },
  "CAP_9c62c989": {
   "en": "Centralized Task Decomposition",
   "zh": "中心化任务分解",
   "level": "l3"
  },
  "CAP_4bb25d44": {
   "en": "Centralized Resource Scheduling Orchestration",
   "zh": "中心化资源调度编排",
   "level": "l2"
  },
  "CAP_5a13b07f": {
   "en": "Global Resource Scheduling",
   "zh": "全局资源调度",
   "level": "l3"
  },
  "CAP_fd6a0c8e": {
   "en": "Centralized Execution Dispatch Orchestration",
   "zh": "中心化执行分发编排",
   "level": "l2"
  },
  "CAP_bfcb9afb": {
   "en": "Centralized Execution Dispatch",
   "zh": "中心化执行分发",
   "level": "l3"
  },
  "CAP_b0c92370": {
   "en": "Assembly Sequence Verification Orchestration",
   "zh": "装配序列验证编排",
   "level": "l2"
  },
  "CAP_f3013f5e": {
   "en": "Multi Robot Assembly Sequence Verification",
   "zh": "多机器人装配序列验证",
   "level": "l3"
  },
  "CAP_3203de5a": {
   "en": "Global State Monitoring Orchestration",
   "zh": "全局状态监控编排",
   "level": "l2"
  },
  "CAP_06396f9e": {
   "en": "Global State Monitoring",
   "zh": "全局状态监控",
   "level": "l3"
  },
  "CAP_deb72a3a": {
   "en": "Centralized Replanning Orchestration",
   "zh": "中心化重规划编排",
   "level": "l2"
  },
  "CAP_1e5301ba": {
   "en": "Centralized Replanning",
   "zh": "中心化重规划",
   "level": "l3"
  },
  "CAP_3190fe9d": {
   "en": "Decentralized Perception and Relative Localization",
   "zh": "去中心化感知与相对定位",
   "level": "l2"
  },
  "CAP_d253cce1": {
   "en": "Local Perception and Feature Extraction",
   "zh": "局部感知与特征提取",
   "level": "l3"
  },
  "CAP_19fc1b4f": {
   "en": "Decentralized Relative Localization",
   "zh": "去中心化相对定位",
   "level": "l3"
  },
  "CAP_743c4e3c": {
   "en": "Distributed Frontier Detection and Allocation",
   "zh": "分布式前沿检测与分配",
   "level": "l3"
  },
  "CAP_bb550143": {
   "en": "Communication and Consensus Orchestration",
   "zh": "通信与共识编排",
   "level": "l2"
  },
  "CAP_c66561fe": {
   "en": "Gossip Based Consensus",
   "zh": "基于Gossip的分布式共识",
   "level": "l3"
  },
  "CAP_2ade774f": {
   "en": "Communication Degraded Fallback",
   "zh": "通信降级回退",
   "level": "l3"
  },
  "CAP_7bd00350": {
   "en": "Decentralized Planning and Control Execution",
   "zh": "去中心化规划与控制执行",
   "level": "l2"
  },
  "CAP_a23d4286": {
   "en": "Decentralized Collision Avoidance",
   "zh": "去中心化碰撞避免",
   "level": "l3"
  },
  "CAP_a3d48304": {
   "en": "Heterogeneous Capability Modeling Orchestration",
   "zh": "异构能力建模编排",
   "level": "l2"
  },
  "CAP_80153ecd": {
   "en": "Heterogeneous Task Decomposition Orchestration",
   "zh": "异构任务分解编排",
   "level": "l2"
  },
  "CAP_96e63547": {
   "en": "Heterogeneous Task Allocation Orchestration",
   "zh": "异构任务分配编排",
   "level": "l2"
  },
  "CAP_a7c81b1f": {
   "en": "Coordinated Execution and Conflict Resolution Orchestration",
   "zh": "协调执行与冲突消解编排",
   "level": "l2"
  },
  "CAP_258da118": {
   "en": "Joint Policy Learning Orchestration",
   "zh": "联合策略优化编排",
   "level": "l2"
  },
  "CAP_a5e5163b": {
   "en": "Heterogeneous Capability Modeling",
   "zh": "异构能力建模",
   "level": "l3"
  },
  "CAP_3fcfc6d7": {
   "en": "Heterogeneous Task Decomposition",
   "zh": "异构任务分解",
   "level": "l3"
  },
  "CAP_ad7e8047": {
   "en": "Heterogeneous Task Allocation",
   "zh": "异构任务分配",
   "level": "l3"
  },
  "CAP_d4336124": {
   "en": "Dynamic Load Balancing",
   "zh": "动态负载均衡",
   "level": "l3"
  },
  "CAP_ba05b59f": {
   "en": "Coordinated Execution with Conflict Resolution",
   "zh": "协调执行与冲突消解",
   "level": "l3"
  },
  "CAP_17098cad": {
   "en": "Search-Based MAPF Problem Modeling",
   "zh": "基于搜索的MAPF问题建模",
   "level": "l2"
  },
  "CAP_21ae620e": {
   "en": "Centralized MAPF Search",
   "zh": "集中式MAPF搜索规划",
   "level": "l2"
  },
  "CAP_f7d22119": {
   "en": "MAPF Path Postprocessing",
   "zh": "MAPF路径后处理与指令下发",
   "level": "l2"
  },
  "CAP_4c847c81": {
   "en": "MAPF Problem Formalization",
   "zh": "MAPF问题形式化",
   "level": "l3"
  },
  "CAP_c74f4283": {
   "en": "Joint State A Star Search",
   "zh": "联合状态A*搜索",
   "level": "l3"
  },
  "CAP_ad93cf14": {
   "en": "Conflict Based Search Planning",
   "zh": "基于冲突的搜索规划",
   "level": "l3"
  },
  "CAP_43a3674e": {
   "en": "MAPF Conflict Detection and Resolution",
   "zh": "MAPF冲突检测与消解",
   "level": "l3"
  },
  "CAP_54dc31e8": {
   "en": "MAPF Path Discretization and Smoothing",
   "zh": "MAPF路径离散化与平滑",
   "level": "l3"
  },
  "CAP_c9ff0bbf": {
   "en": "State Estimation and Prediction",
   "zh": "状态估计与运动预测",
   "level": "l2"
  },
  "CAP_9ce67458": {
   "en": "Geometric Conflict Detection",
   "zh": "几何冲突检测",
   "level": "l2"
  },
  "CAP_053f55b4": {
   "en": "Feasible Velocity Selection",
   "zh": "可行速度选择",
   "level": "l2"
  },
  "CAP_25225868": {
   "en": "Multi-agent State Estimation",
   "zh": "多智能体状态估计",
   "level": "l3"
  },
  "CAP_df83625a": {
   "en": "Velocity Obstacle Compute",
   "zh": "速度障碍物计算",
   "level": "l3"
  },
  "CAP_46ba7269": {
   "en": "RVO Agent Policy",
   "zh": "互惠速度障碍物策略",
   "level": "l3"
  },
  "CAP_e5c0a6cb": {
   "en": "HRVO Agent Policy",
   "zh": "混合互惠速度障碍物策略",
   "level": "l3"
  },
  "CAP_247211a2": {
   "en": "Nonholonomic Velocity Sampler",
   "zh": "非完整速度采样",
   "level": "l3"
  },
  "CAP_5036f129": {
   "en": "End-to-End Embodied Navigation",
   "zh": "端到端具身导航",
   "level": "l2"
  },
  "CAP_51eaa16c": {
   "en": "E2E Collision Avoidance Policy",
   "zh": "端到端避碰策略",
   "level": "l3"
  },
  "CAP_953b0fa5": {
   "en": "MARL Decentralized Training",
   "zh": "多智能体强化学习去中心化训练",
   "level": "l3"
  },
  "CAP_4e23d6f4": {
   "en": "Parallel Scene Management",
   "zh": "并行场景管理",
   "level": "l2"
  },
  "CAP_7794480b": {
   "en": "GPU Physics Stepping",
   "zh": "GPU物理步进",
   "level": "l2"
  },
  "CAP_54dc3251": {
   "en": "Experience Collection and Training Sync",
   "zh": "经验收集与训练同步",
   "level": "l2"
  },
  "CAP_5fcbb8d0": {
   "en": "Vectorized Environment Manager",
   "zh": "向量化环境管理器",
   "level": "l3"
  },
  "CAP_0f598b81": {
   "en": "GPU Accelerated Contact Rich Physics Stepping",
   "zh": "GPU加速接触丰富物理步进",
   "level": "l3"
  },
  "CAP_9d5912d0": {
   "en": "GPU Resident Policy Inference",
   "zh": "GPU驻留策略推理",
   "level": "l3"
  },
  "CAP_218c9d85": {
   "en": "Asynchronous Rollout Data Streamer",
   "zh": "异步Rollout数据流传输器",
   "level": "l3"
  },
  "CAP_f76b57af": {
   "en": "Differentiable Scene Modeling and Parameterization",
   "zh": "可微场景建模与参数化",
   "level": "l2"
  },
  "CAP_e3fd82be": {
   "en": "Differentiable Forward Dynamics Simulation",
   "zh": "可微前向动力学仿真",
   "level": "l2"
  },
  "CAP_071f7798": {
   "en": "Differentiable Gradient Computation and Backpropagation",
   "zh": "可微梯度计算与反向传播",
   "level": "l3"
  },
  "CAP_1bcbd69d": {
   "en": "Differentiable Trajectory Optimization and Policy Learning",
   "zh": "可微轨迹优化与策略学习",
   "level": "l2"
  },
  "CAP_f0465c88": {
   "en": "Multi-Arm Scene Modeling and Parameterization",
   "zh": "多臂场景建模与参数化",
   "level": "l3"
  },
  "CAP_c3be330c": {
   "en": "Differentiable Forward Dynamics and Contact Solving",
   "zh": "可微前向动力学与接触求解",
   "level": "l3"
  },
  "CAP_f7c1691b": {
   "en": "Differentiable Contact Mode Exploration",
   "zh": "可微接触模式探索",
   "level": "l3"
  },
  "CAP_df57e7f4": {
   "en": "Differentiable Contact-Rich Grasp Planning",
   "zh": "可微接触丰富抓取规划",
   "level": "l3"
  },
  "CAP_225ae8c7": {
   "en": "Differentiable Multi-Arm Assembly Trajectory Optimization",
   "zh": "可微多臂装配轨迹优化",
   "level": "l3"
  },
  "CAP_06990ee3": {
   "en": "Differentiable Dual-Arm Force Impedance Control",
   "zh": "可微双臂力阻抗控制",
   "level": "l3"
  },
  "CAP_bb3e91d0": {
   "en": "Differentiable Multi-Agent Collision Avoidance",
   "zh": "可微多智能体碰撞避免",
   "level": "l3"
  },
  "CAP_2c77a8a2": {
   "en": "MPM Scene Setup",
   "zh": "MPM 场景初始化",
   "level": "l2"
  },
  "CAP_cae46ac0": {
   "en": "MPM Core Solver",
   "zh": "MPM 核心求解器",
   "level": "l2"
  },
  "CAP_b6eb9ec4": {
   "en": "Unified Particle Scene Initialization",
   "zh": "统一粒子场景初始化",
   "level": "l3"
  },
  "CAP_7ce97b7c": {
   "en": "MPM Agent Environment Bidirectional Coupling",
   "zh": "MPM 智能体-环境双向耦合",
   "level": "l3"
  },
  "CAP_fd944d71": {
   "en": "Multi-Material Constitutive Model Library",
   "zh": "多材料本构模型库",
   "level": "l3"
  },
  "CAP_bd3805c5": {
   "en": "Sparse Grid MPM Accelerator",
   "zh": "稀疏网格 MPM 加速器",
   "level": "l3"
  },
  "CAP_8921c5d6": {
   "en": "Differentiable MPM Simulation Kernel",
   "zh": "可微 MPM 仿真内核",
   "level": "l3"
  },
  "CAP_8e906db3": {
   "en": "Heterogeneous Perception and Communication Readiness",
   "zh": "异构感知与通信准备",
   "level": "l2"
  },
  "CAP_51119f7e": {
   "en": "Distributed Fusion and Target Consensus",
   "zh": "分布式融合与目标共识",
   "level": "l2"
  },
  "CAP_7a894521": {
   "en": "Situational Assessment and Information Gain",
   "zh": "态势评估与信息增益",
   "level": "l2"
  },
  "CAP_3b5e2f71": {
   "en": "Heterogeneous Feature Alignment",
   "zh": "异构特征对齐",
   "level": "l3"
  },
  "CAP_7a18fcfd": {
   "en": "Opportunistic Consensus Routing",
   "zh": "机会共识路由",
   "level": "l3"
  },
  "CAP_26f17017": {
   "en": "Distributed Pose Graph GNC",
   "zh": "分布式位姿图GNC",
   "level": "l3"
  },
  "CAP_81c80721": {
   "en": "Multi-target Consensus Tracker",
   "zh": "多目标共识跟踪",
   "level": "l3"
  },
  "CAP_2ef40d7b": {
   "en": "Bayesian Occupancy Fusion",
   "zh": "贝叶斯占用融合",
   "level": "l3"
  },
  "CAP_b1bfe8c2": {
   "en": "Multimodal Human State Perception",
   "zh": "多模态人类状态感知",
   "level": "l2"
  },
  "CAP_0b60feb4": {
   "en": "Spatiotemporal Intent Reasoning",
   "zh": "时空意图推理",
   "level": "l2"
  },
  "CAP_15148ebf": {
   "en": "Intent Representation and Situation Injection",
   "zh": "意图表征与态势注入",
   "level": "l2"
  },
  "CAP_4372d637": {
   "en": "Sensor Fusion and Synchronization",
   "zh": "多模态传感器数据融合与同步",
   "level": "l3"
  },
  "CAP_39300b1e": {
   "en": "Human Pose Estimation 3D",
   "zh": "3D人体姿态估计",
   "level": "l3"
  },
  "CAP_96da4296": {
   "en": "Hand Keypoint Tracking",
   "zh": "手部关键点检测与追踪",
   "level": "l3"
  },
  "CAP_b8595593": {
   "en": "Assembly Action Recognition",
   "zh": "装配动作识别",
   "level": "l3"
  },
  "CAP_1898cf47": {
   "en": "Hand Trajectory Prediction",
   "zh": "手部轨迹预测",
   "level": "l3"
  },
  "CAP_727a8299": {
   "en": "Intent Classification Fusion",
   "zh": "意图分类与上下文融合",
   "level": "l3"
  },
  "CAP_8263b0a8": {
   "en": "Situation Risk Assessment",
   "zh": "态势风险评估",
   "level": "l3"
  },
  "CAP_cc8b7094": {
   "en": "Low-confidence Observation",
   "zh": "低置信度观察策略",
   "level": "l3"
  },
  "CAP_f60d019a": {
   "en": "Safety Critical Publish",
   "zh": "安全关键态势发布",
   "level": "l3"
  },
  "CAP_f8537bdd": {
   "en": "Intent To Situation Msg",
   "zh": "意图态势消息封装",
   "level": "l3"
  },
  "CAP_ead076f4": {
   "en": "Embodied VLA Zero-Shot Collaborative Reasoning",
   "zh": "具身大模型零样本协作推理",
   "level": "l2"
  },
  "CAP_0c91ca5f": {
   "en": "Multi-View Semantic Scene Encoding",
   "zh": "多视角语义场景编码",
   "level": "l3"
  },
  "CAP_882642bf": {
   "en": "Multi-Agent Semantic Fusion",
   "zh": "多智能体语义融合",
   "level": "l3"
  },
  "CAP_481710ed": {
   "en": "Zero-Shot Collaborative Task Reasoning",
   "zh": "零样本协作任务推理",
   "level": "l3"
  },
  "CAP_fc9ad3eb": {
   "en": "Intention Prediction and Risk Assessment",
   "zh": "意图预测与风险评估",
   "level": "l3"
  },
  "CAP_93bc1d33": {
   "en": "Explainable Collaborative Instruction Generation",
   "zh": "可解释协作指令生成",
   "level": "l3"
  },
  "CAP_750f5797": {
   "en": "Closed-Loop Belief Update and Replanning",
   "zh": "闭环信念更新与重规划",
   "level": "l3"
  },
  "CAP_54ed5cbb": {
   "en": "Tactile Adaptive Grasping Pipeline",
   "zh": "触觉自适应抓取流水线",
   "level": "l2"
  },
  "CAP_cbd6c943": {
   "en": "Bandit Grasp Selector",
   "zh": "Bandit 抓取策略选择器",
   "level": "l3"
  },
  "CAP_402b716a": {
   "en": "Non-Stationary Bandit Adapter",
   "zh": "非平稳 Bandit 适配器",
   "level": "l3"
  },
  "CAP_6046ce0b": {
   "en": "Sim-to-Real Bandit Transfer",
   "zh": "Sim2Real Bandit 迁移",
   "level": "l3"
  },
  "CAP_d0b5f46a": {
   "en": "Human Preference Bandit Pipeline",
   "zh": "人机偏好赌博机流水线",
   "level": "l2"
  },
  "CAP_be02360e": {
   "en": "Skill Variant Generation",
   "zh": "技能变体生成",
   "level": "l3"
  },
  "CAP_cc4240aa": {
   "en": "Behavior Execution and Observation",
   "zh": "行为执行与观察",
   "level": "l3"
  },
  "CAP_f1cc28ba": {
   "en": "Contextual Preference Reward Modeling",
   "zh": "上下文偏好奖励建模",
   "level": "l3"
  },
  "CAP_ec74e9a2": {
   "en": "Safe Contextual Exploration",
   "zh": "安全上下文探索",
   "level": "l3"
  },
  "CAP_f30ef63a": {
   "en": "Dueling Bandit Skill Refinement",
   "zh": "决斗赌博机技能精调",
   "level": "l3"
  },
  "CAP_d2c58930": {
   "en": "Non-Stationary Preference Adaptation",
   "zh": "非平稳偏好适应",
   "level": "l3"
  },
  "CAP_ac88ae74": {
   "en": "Online Bandit Optimizer",
   "zh": "在线赌博机优化器",
   "level": "l3"
  },
  "CAP_724dacf8": {
   "en": "Multi-Robot Context Aggregation",
   "zh": "多机器人上下文聚合",
   "level": "l2"
  },
  "CAP_3ebd191b": {
   "en": "Dynamic Arm Set Management",
   "zh": "动态臂空间管理",
   "level": "l2"
  },
  "CAP_f6ece582": {
   "en": "Reward Estimation",
   "zh": "收益估计",
   "level": "l2"
  },
  "CAP_27dc9b9b": {
   "en": "Combinatorial Bandit Selection",
   "zh": "组合赌博机选择",
   "level": "l2"
  },
  "CAP_10b35421": {
   "en": "Task-Robot Allocation",
   "zh": "任务-机器人分配",
   "level": "l2"
  },
  "CAP_9fe200bb": {
   "en": "Online Bandit Update",
   "zh": "在线赌博机更新",
   "level": "l2"
  },
  "CAP_4fcce3a5": {
   "en": "Distributed Context Aggregation",
   "zh": "分布式上下文聚合",
   "level": "l3"
  },
  "CAP_5f817382": {
   "en": "Dynamic Arm Set Construction",
   "zh": "动态臂空间构建",
   "level": "l3"
  },
  "CAP_b4c8146e": {
   "en": "Reward Estimation (UCB/Thompson Sampling)",
   "zh": "收益估计（UCB/Thompson采样）",
   "level": "l3"
  },
  "CAP_af82d417": {
   "en": "Combinatorial Bandit Solver",
   "zh": "组合赌博机求解器",
   "level": "l3"
  },
  "CAP_bc0ab033": {
   "en": "Heterogeneous Task-Robot Matcher",
   "zh": "异构任务-机器人匹配器",
   "level": "l3"
  },
  "CAP_1a69f272": {
   "en": "Delayed Feedback Handler",
   "zh": "延迟反馈处理器",
   "level": "l3"
  },
  "CAP_19ddc7ec": {
   "en": "Candidate Generation and Quality Scoring",
   "zh": "候选生成与质量评分",
   "level": "l2"
  },
  "CAP_f5332e10": {
   "en": "Robustness Evaluation and Selection",
   "zh": "鲁棒性评估与择优",
   "level": "l2"
  },
  "CAP_e98f5bab": {
   "en": "Arm Space Registration",
   "zh": "臂空间注册",
   "level": "l2"
  },
  "CAP_8d65f5d0": {
   "en": "Robustness Metric Evaluation",
   "zh": "鲁棒性指标计算",
   "level": "l3"
  },
  "CAP_b494aa64": {
   "en": "Arm Set Construction and Filtering",
   "zh": "臂集构建与过滤",
   "level": "l3"
  },
  "CAP_096f2fea": {
   "en": "Arm Space Registration and Dispatch",
   "zh": "臂空间注册与分发",
   "level": "l3"
  },
  "CAP_d7059a6e": {
   "en": "Bandit Initialization",
   "zh": "老虎机初始化",
   "level": "l2"
  },
  "CAP_9c6e3aa1": {
   "en": "Online Bandit Selection",
   "zh": "在线老虎机选择",
   "level": "l2"
  },
  "CAP_fffccb19": {
   "en": "VLM Scene Task Alignment",
   "zh": "视觉-语言模型场景-任务对齐",
   "level": "l3"
  },
  "CAP_4075af06": {
   "en": "Semantic Grasp Scoring",
   "zh": "语义抓取评分",
   "level": "l3"
  },
  "CAP_911de143": {
   "en": "VLM Uncertainty Calibration",
   "zh": "视觉-语言模型不确定性校准",
   "level": "l3"
  },
  "CAP_57894dfb": {
   "en": "VLM Prior Bandit Initialization",
   "zh": "视觉-语言模型先验老虎机初始化",
   "level": "l3"
  },
  "CAP_acfb6220": {
   "en": "Online Bandit Grasp Selection",
   "zh": "在线老虎机抓取选择",
   "level": "l3"
  },
  "CAP_346442df": {
   "en": "Bandit Model Update",
   "zh": "老虎机模型更新",
   "level": "l3"
  },
  "CAP_56794912": {
   "en": "Arm Initialization and Selection",
   "zh": "臂初始化与选择",
   "level": "l2"
  },
  "CAP_73b2fd83": {
   "en": "Grasp Execution and Perception",
   "zh": "抓取执行与感知",
   "level": "l2"
  },
  "CAP_70c8ed97": {
   "en": "Value Update and Convergence Detection",
   "zh": "价值更新与收敛检测",
   "level": "l2"
  },
  "CAP_db28badc": {
   "en": "Grasp Result Perception",
   "zh": "抓取结果感知",
   "level": "l3"
  },
  "CAP_bd42553d": {
   "en": "Simulation Scene Setup and Observation",
   "zh": "仿真场景初始化与状态观测",
   "level": "l2"
  },
  "CAP_23f9249b": {
   "en": "RL Policy Inference and Actuation",
   "zh": "策略推理与动作执行",
   "level": "l2"
  },
  "CAP_40ee0672": {
   "en": "Multi-Body Contact Dynamics Solving",
   "zh": "多体接触动力学求解",
   "level": "l2"
  },
  "CAP_5d41e63a": {
   "en": "State Update and Reward Computation",
   "zh": "状态更新与奖励计算",
   "level": "l2"
  },
  "CAP_f9f8ebc8": {
   "en": "Scene Initialization and Randomization",
   "zh": "场景初始化与随机化",
   "level": "l3"
  },
  "CAP_0e0a2912": {
   "en": "Robot End-Effector Actuation",
   "zh": "机器人末端执行器驱动",
   "level": "l3"
  },
  "CAP_f1df92cf": {
   "en": "Multi-Body Contact Solver Robustness",
   "zh": "多体接触求解器鲁棒性",
   "level": "l3"
  },
  "CAP_238d8170": {
   "en": "Contact Chain Impulse Propagation",
   "zh": "接触链冲量传播",
   "level": "l3"
  },
  "CAP_033ca992": {
   "en": "Contact Stack Stability",
   "zh": "接触堆叠稳定性",
   "level": "l3"
  },
  "CAP_89c144b3": {
   "en": "Rigid Body Dynamics Update",
   "zh": "刚体动力学更新",
   "level": "l3"
  },
  "CAP_903985b9": {
   "en": "Task Reward Computation",
   "zh": "任务奖励计算",
   "level": "l3"
  },
  "CAP_c9417121": {
   "en": "Domain Randomized Contact Parameterization",
   "zh": "领域随机化接触参数化",
   "level": "l3"
  },
  "CAP_c22bb483": {
   "en": "Task Completion Evaluation",
   "zh": "任务完成评估",
   "level": "l3"
  },
  "CAP_d26bfdba": {
   "en": "Whole Body Contact Data Collection",
   "zh": "全身接触数据收集",
   "level": "l2"
  },
  "CAP_198a37fc": {
   "en": "Contact Augmented Data Collection",
   "zh": "接触增强数据收集",
   "level": "l3"
  },
  "CAP_67f929ca": {
   "en": "Diffusion Whole Body Policy",
   "zh": "扩散模型全身策略",
   "level": "l3"
  },
  "CAP_ed98a1d8": {
   "en": "Online Inference and Execution",
   "zh": "在线推理与执行",
   "level": "l2"
  },
  "CAP_ed7a8466": {
   "en": "Contact Safety Filter",
   "zh": "接触安全滤波器",
   "level": "l3"
  },
  "CAP_d728a406": {
   "en": "Sim To Real Contact Transfer",
   "zh": "仿真到真实接触迁移",
   "level": "l3"
  },
  "CAP_8253eba8": {
   "en": "Model Parsing and Parameter Extraction",
   "zh": "模型解析与参数提取",
   "level": "l2"
  },
  "CAP_50a6b88b": {
   "en": "Forward Kinematics Chain Construction",
   "zh": "正运动学链构建",
   "level": "l2"
  },
  "CAP_01116ac1": {
   "en": "End-Effector Pose Extraction and Conversion",
   "zh": "末端位姿提取与转换",
   "level": "l2"
  },
  "CAP_1d87a1f5": {
   "en": "Jacobian Computation",
   "zh": "雅可比计算",
   "level": "l2"
  },
  "CAP_ec48cf4b": {
   "en": "URDF Kinematic Tree Parser",
   "zh": "URDF 运动学树解析器",
   "level": "l3"
  },
  "CAP_2f8516d8": {
   "en": "DH Chain Forward Kinematics",
   "zh": "标准 DH 链正运动学",
   "level": "l3"
  },
  "CAP_3e1063c7": {
   "en": "Modified DH Chain Forward Kinematics",
   "zh": "修正 DH 链正运动学",
   "level": "l3"
  },
  "CAP_22590636": {
   "en": "Pose Representation Converter",
   "zh": "位姿表示转换器",
   "level": "l3"
  },
  "CAP_15dd2d62": {
   "en": "Jacobian Computation From Chain",
   "zh": "链式雅可比计算",
   "level": "l3"
  },
  "CAP_a993f80d": {
   "en": "State Estimation and Task Definition",
   "zh": "状态估计与任务定义",
   "level": "l2"
  },
  "CAP_d9173055": {
   "en": "Kinematics and Constraint Modeling",
   "zh": "运动学与约束建模",
   "level": "l2"
  },
  "CAP_1e8fae33": {
   "en": "Hierarchical QP and Torque Computation",
   "zh": "分层QP与力矩计算",
   "level": "l2"
  },
  "CAP_7693a2e3": {
   "en": "Low Level Joint Command Dispatch",
   "zh": "低层关节指令分发",
   "level": "l2"
  },
  "CAP_8c888fe9": {
   "en": "WBC State Estimation Integration",
   "zh": "WBC状态估计集成",
   "level": "l3"
  },
  "CAP_7ce79124": {
   "en": "Task Space Controller",
   "zh": "任务空间控制器",
   "level": "l3"
  },
  "CAP_1c226cb1": {
   "en": "Low Level Joint Control",
   "zh": "低层关节控制",
   "level": "l3"
  },
  "CAP_53d4595d": {
   "en": "Multi-Contact Differentiable Kinematics",
   "zh": "多接触可微运动学推理",
   "level": "l2"
  },
  "CAP_4eaae910": {
   "en": "Forward Kinematics with Contacts",
   "zh": "带接触的前向运动学",
   "level": "l3"
  },
  "CAP_99d687ea": {
   "en": "Contact Jacobian Computation",
   "zh": "接触雅可比计算",
   "level": "l3"
  },
  "CAP_10d59692": {
   "en": "Differentiable Kinematics Graph",
   "zh": "可微运动学计算图",
   "level": "l3"
  },
  "CAP_a01edab1": {
   "en": "Batch Contact Kinematics",
   "zh": "批量接触运动学",
   "level": "l3"
  },
  "CAP_46433911": {
   "en": "Model Initialization",
   "zh": "模型初始化",
   "level": "l2"
  },
  "CAP_2cdf5208": {
   "en": "Kinematics and Dynamics Precomputation",
   "zh": "运动学与动力学预计算",
   "level": "l2"
  },
  "CAP_30e71a40": {
   "en": "Contact Resolution and Integration",
   "zh": "接触求解与数值积分",
   "level": "l2"
  },
  "CAP_533b24b3": {
   "en": "Result Logging",
   "zh": "结果记录与输出",
   "level": "l3"
  },
  "CAP_5768a2cf": {
   "en": "Model Parsing and Building",
   "zh": "模型构建与解析",
   "level": "l3"
  },
  "CAP_fdf717d1": {
   "en": "Kinematics Computation",
   "zh": "运动学计算",
   "level": "l3"
  },
  "CAP_f29a22f7": {
   "en": "Inverse Dynamics",
   "zh": "递归牛顿-欧拉逆动力学",
   "level": "l3"
  },
  "CAP_cde04650": {
   "en": "Collision Detection GJK EPA",
   "zh": "GJK/EPA 碰撞检测",
   "level": "l3"
  },
  "CAP_de0cc98d": {
   "en": "Contact Model Selection",
   "zh": "接触模型选择",
   "level": "l3"
  },
  "CAP_52e60fb1": {
   "en": "Linear Complementarity Contact Solver",
   "zh": "线性互补接触求解器",
   "level": "l3"
  },
  "CAP_ae6a70ae": {
   "en": "Penalty Based Contact Model",
   "zh": "罚函数接触模型",
   "level": "l3"
  },
  "CAP_b0cd5fd4": {
   "en": "Articulated Body Algorithm Dynamics",
   "zh": "铰接体算法正动力学",
   "level": "l3"
  },
  "CAP_fe6caf1d": {
   "en": "Semi Implicit Euler Integrator",
   "zh": "半隐式欧拉积分器",
   "level": "l3"
  },
  "CAP_286a8280": {
   "en": "Trajectory Logging",
   "zh": "轨迹记录与输出",
   "level": "l3"
  },
  "CAP_add1c86e": {
   "en": "Parallel Environment Lifecycle Management",
   "zh": "并行环境生命周期管理",
   "level": "l2"
  },
  "CAP_057b9c33": {
   "en": "Parallel Multi-Body Dynamics Execution",
   "zh": "并行多体动力学执行",
   "level": "l2"
  },
  "CAP_dd76ed41": {
   "en": "Batch State Processing",
   "zh": "批量状态处理",
   "level": "l2"
  },
  "CAP_7a199493": {
   "en": "Parallel Reset and Data Synchronization",
   "zh": "并行重置与数据同步",
   "level": "l2"
  },
  "CAP_73690d6e": {
   "en": "Parallel Environment Instance Initialization",
   "zh": "并行环境实例初始化",
   "level": "l3"
  },
  "CAP_19f0a7a3": {
   "en": "GPU Accelerated Batched Forward Dynamics",
   "zh": "GPU 加速批量正向动力学",
   "level": "l3"
  },
  "CAP_fe70d957": {
   "en": "Batched Collision Detection",
   "zh": "批量碰撞检测",
   "level": "l3"
  },
  "CAP_e6b53860": {
   "en": "Distributed Multi-Node Simulation",
   "zh": "分布式多节点仿真",
   "level": "l3"
  },
  "CAP_643003a8": {
   "en": "Batch Observation and Reward Computation",
   "zh": "批量观测与奖励计算",
   "level": "l3"
  },
  "CAP_535c728e": {
   "en": "Parallel Environment Reset and Data Sync",
   "zh": "并行环境重置与数据同步",
   "level": "l3"
  },
  "CAP_b8d4bef7": {
   "en": "Continuum Discretization and Method Selection",
   "zh": "连续体离散化与方法选择",
   "level": "l2"
  },
  "CAP_8906abe5": {
   "en": "Differentiable Contact Handling",
   "zh": "可微接触处理",
   "level": "l2"
  },
  "CAP_f2b4a56f": {
   "en": "Differentiable Gradient Propagation",
   "zh": "可微梯度反传",
   "level": "l2"
  },
  "CAP_995924ad": {
   "en": "Differentiable Optimization and Control",
   "zh": "可微优化与控制应用",
   "level": "l2"
  },
  "CAP_abc365da": {
   "en": "Differentiable Continuum Discretization",
   "zh": "可微连续体离散化",
   "level": "l3"
  },
  "CAP_ac0e6c70": {
   "en": "Differentiable Soft Body FEM",
   "zh": "可微软体有限元仿真",
   "level": "l3"
  },
  "CAP_fa52492e": {
   "en": "Differentiable Contact IPC",
   "zh": "可微增量势接触",
   "level": "l3"
  },
  "CAP_5ecbe2de": {
   "en": "Differentiable Gradient Backpropagation",
   "zh": "可微梯度反向传播",
   "level": "l3"
  },
  "CAP_dce3f59d": {
   "en": "Differentiable Soft Robot Control",
   "zh": "可微软体机器人控制",
   "level": "l3"
  },
  "CAP_ef8afc9d": {
   "en": "RGBD Preprocessing Alignment",
   "zh": "RGBD预处理与对齐",
   "level": "l2"
  },
  "CAP_5e6f45cf": {
   "en": "Multi class Instance Segmentation",
   "zh": "多类实例分割",
   "level": "l2"
  },
  "CAP_ecff830d": {
   "en": "6DoF Pose Initialization",
   "zh": "6自由度位姿初始化",
   "level": "l3"
  },
  "CAP_88d75ef8": {
   "en": "Pose Refinement Verification",
   "zh": "位姿精化与验证",
   "level": "l2"
  },
  "CAP_be6a4804": {
   "en": "Temporal Tracking Smoothing",
   "zh": "时序跟踪与平滑",
   "level": "l2"
  },
  "CAP_07d361bf": {
   "en": "RGBD Time Sync Calibration",
   "zh": "RGBD时间同步与标定",
   "level": "l1"
  },
  "CAP_34033392": {
   "en": "Depth Denoise Completion",
   "zh": "深度去噪与补全",
   "level": "l3"
  },
  "CAP_979f6061": {
   "en": "Multi class Instance Seg RGBD",
   "zh": "RGBD多类实例分割",
   "level": "l1"
  },
  "CAP_501d6a4c": {
   "en": "Model Availability Check",
   "zh": "模型可用性检查",
   "level": "l3"
  },
  "CAP_c290c8be": {
   "en": "SixDoF Pose Estimation Model Based",
   "zh": "基于模型的6自由度位姿估计",
   "level": "l1"
  },
  "CAP_9a542ff2": {
   "en": "SixDoF Pose Estimation Model Free",
   "zh": "无模型6自由度位姿估计",
   "level": "l3"
  },
  "CAP_01c995bd": {
   "en": "Pose Error Evaluation",
   "zh": "位姿误差评估",
   "level": "l3"
  },
  "CAP_a9ceee25": {
   "en": "Pose Refinement ICP",
   "zh": "ICP位姿精化",
   "level": "l3"
  },
  "CAP_11049f4e": {
   "en": "Temporal Pose Tracking",
   "zh": "时序位姿跟踪",
   "level": "l1"
  },
  "CAP_95cbd87c": {
   "en": "Multimodal Feature Extraction Stage",
   "zh": "多模态特征提取阶段",
   "level": "l2"
  },
  "CAP_2130f068": {
   "en": "3D Feature Fusion Stage",
   "zh": "3D特征融合阶段",
   "level": "l2"
  },
  "CAP_4c9e7eb9": {
   "en": "Text-Guided 3D Grounding Stage",
   "zh": "文本引导3D指代阶段",
   "level": "l2"
  },
  "CAP_c8bc8b5e": {
   "en": "3D Instance Refinement Stage",
   "zh": "3D实例精炼阶段",
   "level": "l2"
  },
  "CAP_e56856df": {
   "en": "Open-Vocabulary 3D Feature Extraction",
   "zh": "开放词汇3D特征提取",
   "level": "l3"
  },
  "CAP_ef1748b1": {
   "en": "Multiview 3D Feature Fusion",
   "zh": "多视图3D特征融合",
   "level": "l3"
  },
  "CAP_03d6299d": {
   "en": "Text-Guided 3D Grounding",
   "zh": "文本引导3D指代",
   "level": "l3"
  },
  "CAP_0b82ccc5": {
   "en": "Open-Vocabulary 3D Instance Segmentation",
   "zh": "开放词汇3D实例分割",
   "level": "l3"
  },
  "CAP_51a61396": {
   "en": "Hierarchical 3D Scene Understanding",
   "zh": "层次化3D场景理解",
   "level": "l3"
  },
  "CAP_4bb3e0f8": {
   "en": "Multi-Constellation Spectrum Sensing",
   "zh": "多星座频谱态势感知",
   "level": "l2"
  },
  "CAP_e0faebe6": {
   "en": "Cognitive Anti-Jam Filtering",
   "zh": "认知抗干扰滤波",
   "level": "l2"
  },
  "CAP_aad75c2b": {
   "en": "Multi-Constellation Weighted PVT",
   "zh": "多星座加权融合定位",
   "level": "l2"
  },
  "CAP_ee707894": {
   "en": "Integrity Monitoring and Feedback",
   "zh": "完好性监测与反馈",
   "level": "l2"
  },
  "CAP_573ab6ee": {
   "en": "SpectrumSensing",
   "zh": "频谱态势感知",
   "level": "l3"
  },
  "CAP_0d58d009": {
   "en": "AdaptiveNotchFiltering",
   "zh": "自适应陷波滤波",
   "level": "l3"
  },
  "CAP_62715df4": {
   "en": "STAPNulling",
   "zh": "空时自适应零陷",
   "level": "l3"
  },
  "CAP_acb041f7": {
   "en": "WeightedMultiConstellationPVT",
   "zh": "多星座加权融合PVT解算",
   "level": "l3"
  },
  "CAP_36deb0bc": {
   "en": "ARAIMIntegrity",
   "zh": "高级接收机自主完好性监测",
   "level": "l3"
  },
  "CAP_4a3d1ea0": {
   "en": "SensorPreprocessingAndLocalFactorGeneration",
   "zh": "传感器预处理与局部因子生成",
   "level": "l2"
  },
  "CAP_d9f1bdad": {
   "en": "HeterogeneousFactorGraphConstructionAndOptimization",
   "zh": "异构因子图构建与优化",
   "level": "l2"
  },
  "CAP_3e3eab66": {
   "en": "GlobalConsistentOutputAndRelocalization",
   "zh": "全局一致输出与重定位",
   "level": "l2"
  },
  "CAP_42786c35": {
   "en": "MultiConstellationPreprocessing",
   "zh": "多星座GNSS原始观测预处理",
   "level": "l3"
  },
  "CAP_d7412839": {
   "en": "LidarInertialOdometryFactorGeneration",
   "zh": "LiDAR-惯性里程计因子生成",
   "level": "l3"
  },
  "CAP_78193c81": {
   "en": "GlobalConsistentPosePublishing",
   "zh": "全局一致位姿发布与重定位",
   "level": "l3"
  },
  "CAP_f63835e3": {
   "en": "Whole-Body State Estimation and Contact Planning",
   "zh": "全身状态估计与接触规划",
   "level": "l2"
  },
  "CAP_7b64f59d": {
   "en": "Hierarchical Task Management",
   "zh": "层级任务管理",
   "level": "l2"
  },
  "CAP_e0c0ddf6": {
   "en": "Whole-Body QP Optimization",
   "zh": "全身QP优化",
   "level": "l2"
  },
  "CAP_cccf2078": {
   "en": "WBC QP Contact Wrench Balance",
   "zh": "WBC QP接触力矩平衡",
   "level": "l3"
  },
  "CAP_7ae2b52d": {
   "en": "Whole-Body Torque Servoing",
   "zh": "全身力矩伺服",
   "level": "l2"
  },
  "CAP_703664c1": {
   "en": "WBC Floating Base Inverse Dynamics",
   "zh": "WBC浮动基座逆动力学",
   "level": "l3"
  },
  "CAP_1fd61e05": {
   "en": "Proprioceptive State Acquisition and History",
   "zh": "本体感知状态获取与历史缓存",
   "level": "l2"
  },
  "CAP_f90e272db1": {
   "en": "Proprioceptive State Acquisition",
   "zh": "本体感知状态获取",
   "level": "l3"
  },
  "CAP_4a8ab718": {
   "en": "RL Policy Inference and Action Decoding",
   "zh": "强化学习策略推理与动作解码",
   "level": "l2"
  },
  "CAP_66ebd264": {
   "en": "RL Blind Loco Force Control",
   "zh": "强化学习盲走力控",
   "level": "l3"
  },
  "CAP_68c6a28c": {
   "en": "Proprioceptive Terrain Adaptation",
   "zh": "本体感知地形适应",
   "level": "l3"
  },
  "CAP_b96b6c6c": {
   "en": "Action Type Decision",
   "zh": "动作类型判断",
   "level": "l3"
  },
  "CAP_46877377": {
   "en": "PD Torque Mapping",
   "zh": "PD力矩映射",
   "level": "l3"
  },
  "CAP_82602146": {
   "en": "Direct Torque Output",
   "zh": "直接力矩输出",
   "level": "l3"
  },
  "CAP_5315643f": {
   "en": "Torque Command Assembly",
   "zh": "力矩指令汇总",
   "level": "l3"
  },
  "CAP_df5744ac": {
   "en": "Contact Force Execution and State Update",
   "zh": "接触力执行与状态更新",
   "level": "l2"
  },
  "CAP_74ef4fde": {
   "en": "Contact Force Execution",
   "zh": "接触力执行",
   "level": "l3"
  },
  "CAP_67285a6d": {
   "en": "Jailhouse Platform Enablement",
   "zh": "Jailhouse 平台使能",
   "level": "l2"
  },
  "CAP_1cdfe027": {
   "en": "Static Partition Configuration",
   "zh": "静态分区配置",
   "level": "l2"
  },
  "CAP_e909003e": {
   "en": "Inmate Build and Runtime Management",
   "zh": "Inmate 构建与运行时管理",
   "level": "l2"
  },
  "CAP_ebdd0457": {
   "en": "Cross-Cell Communication",
   "zh": "跨 Cell 通信",
   "level": "l2"
  },
  "CAP_c858eb62": {
   "en": "jailhouse enable",
   "zh": "Jailhouse 使能",
   "level": "l3"
  },
  "CAP_dae26a0f": {
   "en": "jailhouse static partition create",
   "zh": "Jailhouse 静态分区创建",
   "level": "l3"
  },
  "CAP_05756a63": {
   "en": "jailhouse cache partition",
   "zh": "Jailhouse 缓存分区",
   "level": "l3"
  },
  "CAP_72b8b1fe": {
   "en": "jailhouse inmate baremetal exec",
   "zh": "Jailhouse Inmate 裸机执行",
   "level": "l3"
  },
  "CAP_c8875d32": {
   "en": "jailhouse rtos integration",
   "zh": "Jailhouse RTOS 集成",
   "level": "l3"
  },
  "CAP_405cc078": {
   "en": "jailhouse cell runtime management",
   "zh": "Jailhouse Cell 运行时管理",
   "level": "l3"
  },
  "CAP_babae92d": {
   "en": "jailhouse ivshmem comm",
   "zh": "Jailhouse IVSHMEM 通信",
   "level": "l3"
  },
  "CAP_4d0e5030": {
   "en": "Offline Design and Configuration",
   "zh": "离线设计与配置",
   "level": "l2"
  },
  "CAP_202ae4a2": {
   "en": "System Modeling and Constraint Capture",
   "zh": "系统建模与约束捕获",
   "level": "l3"
  },
  "CAP_9798a869": {
   "en": "TT Schedule Synthesis",
   "zh": "TT 全局调度表合成",
   "level": "l3"
  },
  "CAP_3b9b4548": {
   "en": "Lockstep Core Configuration",
   "zh": "锁步核心配置",
   "level": "l3"
  },
  "CAP_a9bf7bfb": {
   "en": "TTE Sync Tree Builder",
   "zh": "TTE 同步树构建",
   "level": "l3"
  },
  "CAP_1ba3ac12": {
   "en": "End-to-End Latency Verification",
   "zh": "端到端延迟验证",
   "level": "l3"
  },
  "CAP_75563130": {
   "en": "Runtime Execution and Monitoring",
   "zh": "运行时执行与监控",
   "level": "l3"
  },
  "CAP_5523954e": {
   "en": "Scene Building and Batch Simulation",
   "zh": "场景构建与批量仿真",
   "level": "l2"
  },
  "CAP_daec0d57": {
   "en": "Constraint-Cost Joint Evaluation",
   "zh": "约束-成本联合计算",
   "level": "l2"
  },
  "CAP_62d6bf1f": {
   "en": "Multi-Criteria Aggregation and Reporting",
   "zh": "多维度聚合与报告生成",
   "level": "l2"
  },
  "CAP_4ed901cd": {
   "en": "Scenario Parameterization and Perturbation Injection",
   "zh": "场景参数化与扰动注入",
   "level": "l3"
  },
  "CAP_ddc2c963": {
   "en": "Physics Sim Batch Sampling",
   "zh": "物理仿真批量采样",
   "level": "l3"
  },
  "CAP_7707ab82": {
   "en": "Task Cost Calculation",
   "zh": "任务成本计算",
   "level": "l3"
  },
  "CAP_4cf724bd": {
   "en": "Multi-Criteria Aggregation",
   "zh": "多准则聚合",
   "level": "l3"
  },
  "CAP_1cbc1fcb": {
   "en": "Multi-modal Context Perception",
   "zh": "多模态上下文感知",
   "level": "l2"
  },
  "CAP_68f172ab": {
   "en": "VLM Visual Context Understanding",
   "zh": "视觉-语言模型视觉上下文理解",
   "level": "l3"
  },
  "CAP_1b851705": {
   "en": "Human Feedback Capture and Parsing",
   "zh": "人类反馈信号捕获与解析",
   "level": "l2"
  },
  "CAP_66c84c0b": {
   "en": "Human Feedback Parsing",
   "zh": "人类反馈解析",
   "level": "l3"
  },
  "CAP_0924065d": {
   "en": "Preference-Dimension Mapping",
   "zh": "偏好-评估维度映射",
   "level": "l2"
  },
  "CAP_01f67b9f": {
   "en": "Preference to Dimension Mapping",
   "zh": "偏好到维度映射",
   "level": "l3"
  },
  "CAP_2736d0d3": {
   "en": "Dynamic Multi-Criteria Weighting",
   "zh": "多维度评估权重动态调整",
   "level": "l3"
  },
  "CAP_a4b6b524": {
   "en": "Aligned Report Generation with Explanation",
   "zh": "对齐评估结果生成与解释",
   "level": "l3"
  },
  "CAP_71b850a5": {
   "en": "World Model Building and Rollout",
   "zh": "世界模型构建与推演",
   "level": "l2"
  },
  "CAP_791237a1": {
   "en": "Multi-Criteria Predictive Evaluation",
   "zh": "多维度预测评估",
   "level": "l2"
  },
  "CAP_fa4b316a": {
   "en": "Decision Intervention",
   "zh": "决策干预",
   "level": "l2"
  },
  "CAP_d1375484": {
   "en": "World Model State Estimation",
   "zh": "世界模型状态估计",
   "level": "l3"
  },
  "CAP_f5b4f101": {
   "en": "World Model Future Rollout",
   "zh": "世界模型未来推演",
   "level": "l3"
  },
  "CAP_1d9ad93b": {
   "en": "Interactive Safety Prediction",
   "zh": "交互安全预测",
   "level": "l3"
  },
  "CAP_34fd5c1b": {
   "en": "Task Progress Forecasting",
   "zh": "任务进度预测",
   "level": "l3"
  },
  "CAP_84992535": {
   "en": "Multi-Criteria Fusion for Intervention",
   "zh": "多准则融合干预",
   "level": "l3"
  },
  "CAP_886403dc": {
   "en": "Semantic Understanding and Attribute Profiling",
   "zh": "语义理解与属性画像",
   "level": "l3"
  },
  "CAP_4a133a87": {
   "en": "Semantic Attribute Extraction",
   "zh": "语义属性提取",
   "level": "l3"
  },
  "CAP_d822a495": {
   "en": "Active Attribute Completion",
   "zh": "主动属性补全",
   "level": "l3"
  },
  "CAP_626a4645": {
   "en": "Zero-shot Grasp Planning",
   "zh": "零样本抓取规划",
   "level": "l2"
  },
  "CAP_af3419ce": {
   "en": "Zero-shot Grasp Generation",
   "zh": "零样本抓取生成",
   "level": "l3"
  },
  "CAP_efa1b480": {
   "en": "Physical Interaction and Feedback Collection",
   "zh": "物理交互与反馈采集",
   "level": "l2"
  },
  "CAP_3bceceef": {
   "en": "Capability Profiling and Diagnosis",
   "zh": "能力画像与诊断",
   "level": "l3"
  },
  "CAP_d363fd7c": {
   "en": "Capability Profiling Update",
   "zh": "能力画像更新",
   "level": "l3"
  },
  "CAP_08d57047": {
   "en": "Attribute-driven Failure Diagnosis",
   "zh": "属性驱动的失败诊断",
   "level": "l3"
  },
  "CAP_9c7ca8f1": {
   "en": "Contact-Rich Manipulation Primitives",
   "zh": "接触式操作原语",
   "level": "l2"
  },
  "CAP_07172fac": {
   "en": "Contact-Rich Task Planning",
   "zh": "接触式任务规划",
   "level": "l3"
  },
  "CAP_47b5ae4f": {
   "en": "Force-Controlled Insertion",
   "zh": "力控插入",
   "level": "l3"
  },
  "CAP_fd379bce": {
   "en": "Peg-in-Hole Search",
   "zh": "轴孔搜索",
   "level": "l3"
  },
  "CAP_29da59d1": {
   "en": "Compliant Contour Following",
   "zh": "顺应性轮廓跟随",
   "level": "l3"
  },
  "CAP_af13bcc9": {
   "en": "Snap Assembly",
   "zh": "卡扣装配",
   "level": "l3"
  },
  "CAP_537ca1c5": {
   "en": "Gear Meshing",
   "zh": "齿轮啮合",
   "level": "l3"
  },
  "CAP_5963cf5b": {
   "en": "Contact State Validation",
   "zh": "接触状态验证",
   "level": "l3"
  },
  "CAP_2dca4bd9": {
   "en": "Scene Implicit Reconstruction Evaluation",
   "zh": "场景隐式表征构建评测",
   "level": "l2"
  },
  "CAP_d113e541": {
   "en": "3D Implicit Reconstruction Accuracy",
   "zh": "三维隐式表征重建精度",
   "level": "l3"
  },
  "CAP_270a6186": {
   "en": "Goal and Constraint Specification Evaluation",
   "zh": "操作目标与约束指定评测",
   "level": "l2"
  },
  "CAP_25b10230": {
   "en": "Physics-Aware Goal Interpretation",
   "zh": "物理约束目标解析",
   "level": "l3"
  },
  "CAP_bbff491b": {
   "en": "Generative Action Sequence Generation Evaluation",
   "zh": "生成式动作序列生成评测",
   "level": "l2"
  },
  "CAP_a8bf4b29": {
   "en": "Diffusion-Based Action Generation",
   "zh": "扩散模型动作序列生成",
   "level": "l3"
  },
  "CAP_57c47fdf": {
   "en": "Closed-Loop Execution and Disturbance Recovery Evaluation",
   "zh": "闭环执行与扰动恢复评测",
   "level": "l2"
  },
  "CAP_90a15f21": {
   "en": "Closed-Loop Disturbance Recovery",
   "zh": "扰动恢复与实时重规划",
   "level": "l3"
  },
  "CAP_6f3b9930": {
   "en": "Cross-Object Physical Generalization",
   "zh": "跨物体物理泛化评测",
   "level": "l3"
  },
  "CAP_cbab62de": {
   "en": "Behavioral Signal Acquisition",
   "zh": "行为信号采集",
   "level": "l3"
  },
  "CAP_9fad13e4": {
   "en": "Physiological and Behavioral Signal Preprocessing and Feature Extraction",
   "zh": "生理与行为信号预处理和特征提取",
   "level": "l2"
  },
  "CAP_2afbdaf0": {
   "en": "Physiological Signal Quality Assessment",
   "zh": "生理信号质量评估",
   "level": "l3"
  },
  "CAP_c84971ec": {
   "en": "EDA Phasic Decomposition",
   "zh": "EDA 相位分解",
   "level": "l3"
  },
  "CAP_8d9fcc86": {
   "en": "EEG Trust Neural Correlates",
   "zh": "EEG 信任神经相关物",
   "level": "l3"
  },
  "CAP_e5721483": {
   "en": "Gaze Trust Behavioral Markers",
   "zh": "凝视信任行为标记",
   "level": "l3"
  },
  "CAP_d6abb6a7": {
   "en": "Operational Behavior Feature Extraction",
   "zh": "操作行为特征提取",
   "level": "l3"
  },
  "CAP_8751ba9b": {
   "en": "Trust Fusion and Inference",
   "zh": "信任融合与推理",
   "level": "l2"
  },
  "CAP_6e79981b": {
   "en": "Multimodal Trust Fusion Model",
   "zh": "多模态信任融合模型",
   "level": "l3"
  },
  "CAP_8c3f04d6": {
   "en": "Trust Output Calibration and Uncertainty Estimation",
   "zh": "信任输出校准与不确定性估计",
   "level": "l2"
  },
  "CAP_fe160857": {
   "en": "Trust Output Calibration",
   "zh": "信任输出校准",
   "level": "l3"
  },
  "CAP_80d03f97": {
   "en": "Attribution Cue Extraction",
   "zh": "归因线索提取",
   "level": "l2"
  },
  "CAP_77aed3aa": {
   "en": "Explanation Generation and Mapping",
   "zh": "解释生成与映射",
   "level": "l2"
  },
  "CAP_82cf1b10": {
   "en": "Cognitive Trust Model Update",
   "zh": "认知信任模型更新",
   "level": "l2"
  },
  "CAP_7172e98d": {
   "en": "Interaction Strategy Adaptation",
   "zh": "交互策略适配",
   "level": "l3"
  },
  "CAP_25f0e461": {
   "en": "Attribution Trigger Detection",
   "zh": "归因触发检测",
   "level": "l3"
  },
  "CAP_21c2ecfe": {
   "en": "Explanation Type Selection",
   "zh": "解释类型选择",
   "level": "l3"
  },
  "CAP_c5feccbd": {
   "en": "Counterfactual Explanation Generation",
   "zh": "反事实解释生成",
   "level": "l3"
  },
  "CAP_23e6f9c0": {
   "en": "Mechanism Explanation Generation",
   "zh": "机制解释生成",
   "level": "l3"
  },
  "CAP_adc17cb8": {
   "en": "Explanation Aggregation",
   "zh": "解释聚合",
   "level": "l3"
  },
  "CAP_95be9f5d": {
   "en": "User Feedback Collection and Interpretation",
   "zh": "用户反馈收集与解析",
   "level": "l3"
  },
  "CAP_ee10a8a1": {
   "en": "Cognitive Trust Bayesian Updating",
   "zh": "认知信任贝叶斯更新",
   "level": "l3"
  },
  "CAP_e64eb996": {
   "en": "Cognitive Load Estimation",
   "zh": "认知负荷估计",
   "level": "l3"
  },
  "CAP_ce8401fd": {
   "en": "Explanation Granularity Adaptation",
   "zh": "解释粒度自适应",
   "level": "l3"
  },
  "CAP_a219332d": {
   "en": "Behavioral Feature Extraction for Trust Inference",
   "zh": "面向信任推理的行为特征提取",
   "level": "l2"
  },
  "CAP_551e3982": {
   "en": "Bayesian Trust Inference and Calibration Judgment",
   "zh": "贝叶斯信任推断与校准判定",
   "level": "l2"
  },
  "CAP_b839a44a": {
   "en": "Game-Theoretic Policy Optimization and Lookahead Planning",
   "zh": "博弈论策略优化与前瞻规划",
   "level": "l2"
  },
  "CAP_3f3525fe": {
   "en": "Bayesian Trust State Estimator",
   "zh": "贝叶斯信任状态估计",
   "level": "l3"
  },
  "CAP_fc96cd52": {
   "en": "Trust Calibration Trigger",
   "zh": "信任校准触发",
   "level": "l3"
  },
  "CAP_d626ef5e": {
   "en": "Game Theoretic Trust Policy Optimization",
   "zh": "博弈论信任策略优化",
   "level": "l3"
  },
  "CAP_13b7972c": {
   "en": "Trust Lookahead Planner",
   "zh": "信任前瞻规划",
   "level": "l3"
  },
  "CAP_9a8e7646": {
   "en": "Multidimensional Trust Prior Learner",
   "zh": "多维信任先验学习",
   "level": "l3"
  },
  "CAP_0230007a": {
   "en": "SLAM Computation Graph Partitioning",
   "zh": "SLAM计算图划分",
   "level": "l2"
  },
  "CAP_4ea597bf": {
   "en": "Feature Compression and Transmission",
   "zh": "特征压缩与传输",
   "level": "l2"
  },
  "CAP_f57cea98": {
   "en": "Multi-node SLAM Synchronization",
   "zh": "多节点SLAM同步",
   "level": "l2"
  },
  "CAP_863c11c4": {
   "en": "SLAM Fault Tolerance and Task Migration",
   "zh": "SLAM容错与任务迁移",
   "level": "l2"
  },
  "CAP_8dac3d22": {
   "en": "SLAM DAG Partitioning",
   "zh": "SLAM DAG划分",
   "level": "l3"
  },
  "CAP_cb73b755": {
   "en": "Adaptive Split Point Selection",
   "zh": "自适应切分点选择",
   "level": "l3"
  },
  "CAP_929cc65b": {
   "en": "Intermediate Feature Compression and Transmission",
   "zh": "中间特征压缩与传输",
   "level": "l3"
  },
  "CAP_e2f90afb": {
   "en": "Multi-node SLAM Synchronization Control",
   "zh": "多节点SLAM同步控制",
   "level": "l3"
  },
  "CAP_393ba81e": {
   "en": "SLAM Fault Detection and Migration",
   "zh": "SLAM故障检测与迁移",
   "level": "l3"
  },
  "CAP_1f4d5982": {
   "en": "Swarm Task and Resource Perception",
   "zh": "群体任务与资源感知",
   "level": "l2"
  },
  "CAP_de606a7e": {
   "en": "Swarm Task Graph Generation",
   "zh": "群体任务图生成",
   "level": "l3"
  },
  "CAP_f853576f": {
   "en": "Distributed Resource State Broadcast",
   "zh": "分布式资源状态广播",
   "level": "l3"
  },
  "CAP_c37865bf": {
   "en": "Global Offload Decision",
   "zh": "全局卸载决策",
   "level": "l2"
  },
  "CAP_2cea8b85": {
   "en": "Multi-Node Task Scheduler",
   "zh": "多节点任务调度器",
   "level": "l3"
  },
  "CAP_ff74d439": {
   "en": "Collaborative Data Sharing and Fusion",
   "zh": "协同数据共享与融合",
   "level": "l2"
  },
  "CAP_1a979307": {
   "en": "Intermediate Feature Fusion",
   "zh": "中间特征融合",
   "level": "l3"
  },
  "CAP_7f637269": {
   "en": "Result Aggregation and Feedback",
   "zh": "结果聚合与反馈",
   "level": "l3"
  },
  "CAP_c3a7a80b": {
   "en": "Swarm Perception Result Aggregator",
   "zh": "群体感知结果聚合器",
   "level": "l3"
  },
  "CAP_4704f916": {
   "en": "Multi-Robot Embodied Coordination",
   "zh": "多机器人具身协同",
   "level": "l2"
  },
  "CAP_4faf9059": {
   "en": "Distributed Perception and State Encoding",
   "zh": "分布式感知与状态编码",
   "level": "l3"
  },
  "CAP_1510fd4f": {
   "en": "Attention Communication Negotiation",
   "zh": "注意力通信协商",
   "level": "l3"
  },
  "CAP_d3864774": {
   "en": "RVO2 3D Collision Avoidance",
   "zh": "RVO2三维避碰",
   "level": "l3"
  },
  "CAP_97977645": {
   "en": "Attention-based Inter-Agent Communication",
   "zh": "基于注意力的智能体间通信",
   "level": "l3"
  },
  "CAP_71f54013": {
   "en": "ATOC Inter-Agent Communication",
   "zh": "ATOC 智能体间通信",
   "level": "l3"
  },
  "CAP_441b1414": {
   "en": "Perception and Memory",
   "zh": "感知与记忆",
   "level": "l2"
  },
  "CAP_ac1d8e6b": {
   "en": "Episodic Memory Buffer Management",
   "zh": "情景记忆缓冲管理",
   "level": "l3"
  },
  "CAP_82adb71b": {
   "en": "Planning and Communication",
   "zh": "规划与通信",
   "level": "l2"
  },
  "CAP_23c885f1": {
   "en": "LLM Task Decomposition Planning",
   "zh": "LLM任务分解规划",
   "level": "l3"
  },
  "CAP_0304fff2": {
   "en": "Natural Language Communication Generation",
   "zh": "自然语言通信生成",
   "level": "l3"
  },
  "CAP_2d4ecf79": {
   "en": "Execution",
   "zh": "执行",
   "level": "l2"
  },
  "CAP_dc9b459f": {
   "en": "Multi-Agent RL Training Infrastructure",
   "zh": "多智能体强化学习训练底座",
   "level": "l2"
  },
  "CAP_f557ba04": {
   "en": "Bimanual Mobile Manipulation Data Collection",
   "zh": "双臂移动操作数据采集",
   "level": "l2"
  },
  "CAP_a0bb072d": {
   "en": "Imitation Learning with Action Chunking",
   "zh": "动作分块模仿学习",
   "level": "l2"
  },
  "CAP_f91b9cbb": {
   "en": "Embodied Social Simulation",
   "zh": "具身社交仿真",
   "level": "l2"
  },
  "CAP_8bde8860": {
   "en": "Multimodal Biometric Fusion Authentication",
   "zh": "多模态生物特征融合认证",
   "level": "l1"
  },
  "CAP_442239bf": {
   "en": "Multimodal Sensor Acquisition",
   "zh": "多模态传感器采集",
   "level": "l3"
  },
  "CAP_57d95882": {
   "en": "Liveness Ensemble Detection",
   "zh": "活体集成检测",
   "level": "l3"
  },
  "CAP_939455ec": {
   "en": "Biometric Modality Feature Extraction",
   "zh": "生物特征模态特征提取",
   "level": "l3"
  },
  "CAP_00b00bad": {
   "en": "Biometric Feature Alignment",
   "zh": "生物特征对齐",
   "level": "l3"
  },
  "CAP_10f29ee7": {
   "en": "Adaptive Fusion Threshold",
   "zh": "自适应融合阈值",
   "level": "l3"
  },
  "CAP_ceb7d2e3": {
   "en": "Continuous Authentication Monitor",
   "zh": "持续认证监控",
   "level": "l3"
  },
  "CAP_fc19f006": {
   "en": "Authentication Fallback Handler",
   "zh": "认证回退处理",
   "level": "l3"
  },
  "CAP_1c6c3de2": {
   "en": "Behavioral Continuous Authentication",
   "zh": "行为持续认证",
   "level": "l1"
  },
  "CAP_98a5385e": {
   "en": "Mouse Dynamics Capture",
   "zh": "鼠标动态采集",
   "level": "l3"
  },
  "CAP_7e9f13ef": {
   "en": "Keystroke Dynamics Capture",
   "zh": "击键动态采集",
   "level": "l3"
  },
  "CAP_26f3e6f0": {
   "en": "Touch And Sensor Capture",
   "zh": "触屏与传感器采集",
   "level": "l3"
  },
  "CAP_31078606": {
   "en": "Multimodal Time Window Alignment",
   "zh": "多模态时间窗对齐",
   "level": "l3"
  },
  "CAP_14ea976c": {
   "en": "HMOG Feature Extraction",
   "zh": "HMOG 特征提取",
   "level": "l3"
  },
  "CAP_1910003c": {
   "en": "Mouse Action Feature Extraction",
   "zh": "鼠标动作特征提取",
   "level": "l3"
  },
  "CAP_0ec5cd7a": {
   "en": "Keystroke Feature Extraction",
   "zh": "击键特征提取",
   "level": "l3"
  },
  "CAP_b1e82e72": {
   "en": "Behavioral Anomaly Detection",
   "zh": "行为异常检测",
   "level": "l2"
  },
  "CAP_f1cab19c": {
   "en": "One-Class Model Training",
   "zh": "一类模型训练",
   "level": "l3"
  },
  "CAP_49467dc6": {
   "en": "Real-time Authentication Scoring",
   "zh": "实时认证评分",
   "level": "l3"
  },
  "CAP_d3434e1a": {
   "en": "Authentication Thresholding",
   "zh": "认证阈值判断",
   "level": "l3"
  },
  "CAP_fb6f00e7": {
   "en": "Authentication Acceptance",
   "zh": "认证接受",
   "level": "l3"
  },
  "CAP_f5708e82": {
   "en": "Impostor Score Accumulation",
   "zh": "异常分数累加",
   "level": "l3"
  },
  "CAP_6fc59fd2": {
   "en": "Risk Scoring And Fusion",
   "zh": "风险评分与融合",
   "level": "l2"
  },
  "CAP_6aa9aa63": {
   "en": "Score-Level Fusion",
   "zh": "评分级融合",
   "level": "l3"
  },
  "CAP_006137ee": {
   "en": "Risk Score Calculation",
   "zh": "风险评分计算",
   "level": "l3"
  },
  "CAP_d73c359d": {
   "en": "Risk Thresholding",
   "zh": "风险阈值判断",
   "level": "l3"
  },
  "CAP_d1b19cfa": {
   "en": "Standard Access Grant",
   "zh": "标准放行",
   "level": "l3"
  },
  "CAP_3ccd136f": {
   "en": "Adaptive Strategy Entry",
   "zh": "策略分支入口",
   "level": "l3"
  },
  "CAP_b442eef2": {
   "en": "Adaptive Policy Execution",
   "zh": "自适应策略执行",
   "level": "l2"
  },
  "CAP_0843f611": {
   "en": "Blocking Threshold Decision",
   "zh": "阻断阈值判断",
   "level": "l3"
  },
  "CAP_bf504aab": {
   "en": "High Risk Blocking",
   "zh": "高风险阻断",
   "level": "l3"
  },
  "CAP_e6b70c92": {
   "en": "Step-Up Authentication",
   "zh": "阶梯式认证",
   "level": "l3"
  },
  "CAP_8162fd9d": {
   "en": "Continuous Session Monitoring",
   "zh": "持续会话监控",
   "level": "l3"
  },
  "CAP_873db5e4": {
   "en": "Behavioral Continuous Auth",
   "zh": "行为持续认证",
   "level": "l1"
  },
  "CAP_8433bc30": {
   "en": "Step Up Authentication Trigger",
   "zh": "阶梯式认证触发",
   "level": "l3"
  },
  "CAP_53c85707": {
   "en": "Trust Tier Gating",
   "zh": "信任层门控",
   "level": "l3"
  },
  "CAP_3c0afb2e": {
   "en": "Multimodal Behavioral Continuous Authentication",
   "zh": "多模态行为生物特征持续认证",
   "level": "l2"
  },
  "CAP_7beefb8e": {
   "en": "Physical Challenge-Response Authentication",
   "zh": "物理挑战-响应认证",
   "level": "l2"
  },
  "CAP_a15e8901": {
   "en": "Physical Challenge Generation",
   "zh": "物理挑战生成",
   "level": "l3"
  },
  "CAP_9527e40a": {
   "en": "Physical Response Execution",
   "zh": "物理挑战响应执行",
   "level": "l3"
  },
  "CAP_c60ec264": {
   "en": "Physical Response Verification",
   "zh": "物理响应验证",
   "level": "l3"
  },
  "CAP_a7693e0c": {
   "en": "Physical Session Maintenance",
   "zh": "物理会话维持",
   "level": "l3"
  },
  "CAP_f4430767": {
   "en": "Scene Perception and Encoding",
   "zh": "场景感知与编码",
   "level": "l2"
  },
  "CAP_2915859d": {
   "en": "Grasp Execution and Servoing",
   "zh": "抓取执行与伺服",
   "level": "l2"
  },
  "CAP_d826ba9a": {
   "en": "Sim to Real Policy Transfer",
   "zh": "仿真到现实策略迁移",
   "level": "l2"
  },
  "CAP_c8548e4d": {
   "en": "Point Cloud Scene Encoding",
   "zh": "点云场景编码",
   "level": "l3"
  },
  "CAP_3c6a3a0c": {
   "en": "Diverse Grasp Generation",
   "zh": "多样化抓取生成",
   "level": "l3"
  },
  "CAP_ea5f1cbe": {
   "en": "Robust Grasp Quality Evaluation",
   "zh": "鲁棒抓取质量评估",
   "level": "l3"
  },
  "CAP_d370b9e7": {
   "en": "Visual Servoing for Grasp Refinement",
   "zh": "视觉伺服抓取精化",
   "level": "l3"
  },
  "CAP_44a699d2": {
   "en": "Task Modeling and RL Design",
   "zh": "任务建模与RL设计",
   "level": "l2"
  },
  "CAP_fd0faf87": {
   "en": "Policy Network Training",
   "zh": "策略网络训练",
   "level": "l3"
  },
  "CAP_d6265ea8": {
   "en": "Policy Evaluation and Grasp Generation",
   "zh": "策略评估与抓取生成",
   "level": "l2"
  },
  "CAP_a4a6b079": {
   "en": "Simulation Scene Building",
   "zh": "仿真场景搭建",
   "level": "l3"
  },
  "CAP_3940e5a2": {
   "en": "Sim RL Grasp Policy Training",
   "zh": "仿真强化学习抓取策略训练",
   "level": "l3"
  },
  "CAP_03a3fa04": {
   "en": "Task Semantic and Functional Region Understanding",
   "zh": "任务语义与功能区域理解",
   "level": "l2"
  },
  "CAP_a0230884": {
   "en": "Task Constraint Encoding and Grasp Retrieval",
   "zh": "任务约束编码与抓取检索",
   "level": "l2"
  },
  "CAP_db9541f1": {
   "en": "Task Compatibility Evaluation",
   "zh": "任务兼容性评估",
   "level": "l2"
  },
  "CAP_5e19414b": {
   "en": "Task Semantic Parsing",
   "zh": "任务语义解析",
   "level": "l3"
  },
  "CAP_442bef67": {
   "en": "Functional Contact Region Generation",
   "zh": "功能接触区域生成",
   "level": "l3"
  },
  "CAP_24267216": {
   "en": "Task Constraint Encoding",
   "zh": "任务约束编码",
   "level": "l3"
  },
  "CAP_92377ae5": {
   "en": "Grasp-Task Compatibility Evaluation",
   "zh": "抓取-任务兼容性评估",
   "level": "l3"
  },
  "CAP_d2d37050": {
   "en": "Task-Driven Grasp Retrieval",
   "zh": "任务驱动抓取检索",
   "level": "l3"
  },
  "CAP_2f3b68d7": {
   "en": "Vertical Structure Extraction and Description",
   "zh": "垂直结构提取与描述",
   "level": "l2"
  },
  "CAP_4e2fd667": {
   "en": "Cross-Floor Matching and Fallback",
   "zh": "跨楼层匹配与降级处理",
   "level": "l2"
  },
  "CAP_997d647f": {
   "en": "Global Optimization and Validation",
   "zh": "全局优化与验证",
   "level": "l2"
  },
  "CAP_740e832c": {
   "en": "Vertical Structure Extraction",
   "zh": "垂直结构提取",
   "level": "l3"
  },
  "CAP_2bd8ca4e": {
   "en": "Vertical Topology Graph Construction",
   "zh": "垂直拓扑图构建",
   "level": "l3"
  },
  "CAP_4b6c7ed4": {
   "en": "Cross-Floor Vertical Registration",
   "zh": "跨楼层垂直结构配准",
   "level": "l3"
  },
  "CAP_6eece6f0": {
   "en": "Degenerate Fallback Alignment",
   "zh": "退化降级对齐",
   "level": "l3"
  },
  "CAP_750411b4": {
   "en": "Multi-Floor Pose Graph Optimization",
   "zh": "多楼层位姿图优化",
   "level": "l3"
  },
  "CAP_e6f58548": {
   "en": "Vertical Structure Validation",
   "zh": "垂直结构验证",
   "level": "l3"
  },
  "CAP_b4880134": {
   "en": "Semantic Topology Graph Construction and Description",
   "zh": "语义拓扑图构建与描述",
   "level": "l2"
  },
  "CAP_a67d5680": {
   "en": "Cross-Floor Matching and Map Fusion",
   "zh": "跨楼层匹配与地图融合",
   "level": "l2"
  },
  "CAP_17159fc7": {
   "en": "Semantic Topology Graph Construction",
   "zh": "语义拓扑图构建",
   "level": "l3"
  },
  "CAP_4c478ceb": {
   "en": "Semantic Graph Descriptor Extraction",
   "zh": "语义图描述子提取",
   "level": "l3"
  },
  "CAP_13036223": {
   "en": "Cross-Floor Graph Matching",
   "zh": "跨楼层图匹配",
   "level": "l3"
  },
  "CAP_507652fa": {
   "en": "Multi-Floor Data Preprocessing",
   "zh": "多楼层数据预处理",
   "level": "l2"
  },
  "CAP_d2c18d3c": {
   "en": "Global Implicit Field Optimization",
   "zh": "全局隐式场优化",
   "level": "l2"
  },
  "CAP_c1f6df54": {
   "en": "Geometry Extraction and Verification",
   "zh": "几何提取与验证",
   "level": "l2"
  },
  "CAP_afa3ad1f": {
   "en": "Map Export and Navigation Interface",
   "zh": "地图导出与导航接口",
   "level": "l2"
  },
  "CAP_4df82698": {
   "en": "Multi-Source Data Preprocessing",
   "zh": "多源数据预处理",
   "level": "l3"
  },
  "CAP_8e76f5ed": {
   "en": "Neural Global Map Optimization",
   "zh": "神经全局地图优化",
   "level": "l3"
  },
  "CAP_93a4af80": {
   "en": "Implicit to Explicit Map Baking",
   "zh": "隐式到显式地图烘焙",
   "level": "l3"
  },
  "CAP_a52287fe": {
   "en": "Multifloor Geometric Continuity Verification",
   "zh": "多楼层几何连续性验证",
   "level": "l3"
  },
  "CAP_b58d1879": {
   "en": "Navigation Map Format Export",
   "zh": "导航地图格式导出",
   "level": "l3"
  },
  "CAP_80292443": {
   "en": "Single-Floor Navigation",
   "zh": "单层导航",
   "level": "l2"
  },
  "CAP_1924505e": {
   "en": "Vertical Passage Handover",
   "zh": "垂直通道切换",
   "level": "l2"
  },
  "CAP_a6e11c40": {
   "en": "Single-Floor Goal Setting",
   "zh": "单层目标设定",
   "level": "l3"
  },
  "CAP_e321be3c": {
   "en": "Single-Floor Path Planning",
   "zh": "单层路径规划",
   "level": "l3"
  },
  "CAP_7a5e8498": {
   "en": "Local Motion Control",
   "zh": "局部运动控制",
   "level": "l3"
  },
  "CAP_c9294e3b": {
   "en": "Vertical Passage Detection",
   "zh": "垂直通道状态检测",
   "level": "l3"
  },
  "CAP_2e2f746f": {
   "en": "Multi-Floor Map Management",
   "zh": "多楼层地图管理",
   "level": "l3"
  },
  "CAP_b9f7984d": {
   "en": "Cross-Floor Relocalization",
   "zh": "跨楼层重定位",
   "level": "l3"
  },
  "CAP_6f84dba1": {
   "en": "Constrained Space Navigation",
   "zh": "受限空间导航",
   "level": "l3"
  },
  "CAP_78fe76f9": {
   "en": "Multi-modal Stair Climbing and Exploration",
   "zh": "多模态楼梯攀爬与自主探索",
   "level": "l2"
  },
  "CAP_f0708689": {
   "en": "Stair Detection Segmentation",
   "zh": "楼梯检测与分割",
   "level": "l3"
  },
  "CAP_ae98441f": {
   "en": "Stair Geometry Parameterization",
   "zh": "楼梯几何参数化",
   "level": "l3"
  },
  "CAP_df07e277": {
   "en": "Robot Stair Localization",
   "zh": "机器人楼梯位姿估计",
   "level": "l3"
  },
  "CAP_238c4602": {
   "en": "Adaptive Stair Climbing Planning",
   "zh": "自适应楼梯攀爬运动规划",
   "level": "l3"
  },
  "CAP_c139a617": {
   "en": "Multi-floor Exploration Decision",
   "zh": "多楼层探索决策",
   "level": "l3"
  },
  "CAP_ffceeb7c": {
   "en": "Stair Perception",
   "zh": "楼梯感知",
   "level": "l2"
  },
  "CAP_c8a03158": {
   "en": "Stair Modeling and State Estimation",
   "zh": "楼梯建模与状态估计",
   "level": "l2"
  },
  "CAP_d4c705ef": {
   "en": "Stair Climbing Motion Planning",
   "zh": "楼梯攀爬运动规划",
   "level": "l2"
  },
  "CAP_ebcddc0d": {
   "en": "Multi-Floor VLM Semantic Map Construction",
   "zh": "多楼层VLM语义地图构建",
   "level": "l2"
  },
  "CAP_68799826": {
   "en": "Cross-Floor Semantic Query and Planning",
   "zh": "跨楼层语义查询与路径规划",
   "level": "l2"
  },
  "CAP_a0984087": {
   "en": "VLM-driven Cross-Floor Navigation Execution",
   "zh": "VLM驱动的跨楼层导航执行",
   "level": "l2"
  },
  "CAP_8df93c9b": {
   "en": "Multi-Floor Semantic Map Update and Maintenance",
   "zh": "多楼层语义地图更新与维护",
   "level": "l2"
  },
  "CAP_aaaea7c5": {
   "en": "VLM Semantic Map Construction",
   "zh": "VLM语义地图构建",
   "level": "l3"
  },
  "CAP_11aa3978": {
   "en": "Cross-Floor Semantic Query",
   "zh": "跨楼层语义查询",
   "level": "l3"
  },
  "CAP_0a8f9376": {
   "en": "Cross-Floor Path Planning",
   "zh": "跨楼层路径规划",
   "level": "l3"
  },
  "CAP_f8027931": {
   "en": "VLM Scene Understanding for Relocalization",
   "zh": "VLM场景理解与重定位",
   "level": "l3"
  },
  "CAP_e3fbedd3": {
   "en": "VLM Vertical Passage Detection",
   "zh": "VLM垂直通道检测",
   "level": "l3"
  },
  "CAP_9d132aec": {
   "en": "Cross-Floor State Machine",
   "zh": "跨楼层状态机",
   "level": "l3"
  },
  "CAP_15de7a4b": {
   "en": "Incremental Semantic Map Update",
   "zh": "增量语义地图更新",
   "level": "l3"
  },
  "CAP_c9a4c8ca": {
   "en": "Semantic Graph Construction Stage",
   "zh": "单楼层语义图构建阶段",
   "level": "l2"
  },
  "CAP_086b9a61": {
   "en": "Vertical Structure Detection Stage",
   "zh": "垂直连通结构识别阶段",
   "level": "l2"
  },
  "CAP_5f9d4878": {
   "en": "Cross-floor Graph Matching Stage",
   "zh": "跨楼层图匹配阶段",
   "level": "l2"
  },
  "CAP_f56e99d7": {
   "en": "Global Multi-floor Registration Stage",
   "zh": "全局多楼层配准阶段",
   "level": "l2"
  },
  "CAP_95544ffa": {
   "en": "Vertical Connection Annotation Stage",
   "zh": "垂直连通通道标注阶段",
   "level": "l2"
  },
  "CAP_d505a6dd": {
   "en": "Vertical Structure Detection",
   "zh": "垂直连通结构检测",
   "level": "l3"
  },
  "CAP_9a0961d4": {
   "en": "Vertical Connection Annotation",
   "zh": "垂直连通通道标注",
   "level": "l3"
  },
  "CAP_3815b504": {
   "en": "Data Preprocessing Stage",
   "zh": "数据预处理阶段",
   "level": "l2"
  },
  "CAP_f3c38f7d": {
   "en": "Implicit Neural Field Construction Stage",
   "zh": "隐式神经场构建阶段",
   "level": "l2"
  },
  "CAP_e1de4fd4": {
   "en": "Joint Optimization Stage",
   "zh": "联合优化阶段",
   "level": "l2"
  },
  "CAP_752801a2": {
   "en": "Global Model Extraction Stage",
   "zh": "全局模型提取阶段",
   "level": "l2"
  },
  "CAP_22e35fd0": {
   "en": "Output Generation Stage",
   "zh": "输出生成阶段",
   "level": "l2"
  },
  "CAP_0b13e511": {
   "en": "Geometric Prior Construction",
   "zh": "几何先验构建",
   "level": "l3"
  },
  "CAP_86d50746": {
   "en": "Implicit Neural Field Construction",
   "zh": "隐式神经场构建",
   "level": "l3"
  },
  "CAP_ff73281d": {
   "en": "Neural Field Joint Optimization",
   "zh": "神经场联合优化",
   "level": "l3"
  },
  "CAP_01a62125": {
   "en": "Multi-modal NeRF Registration",
   "zh": "多模态 NeRF 配准",
   "level": "l3"
  },
  "CAP_8011700d": {
   "en": "Global Model Extraction",
   "zh": "全局模型提取",
   "level": "l3"
  },
  "CAP_18efbb8f": {
   "en": "Continuous Floor Plan Extraction",
   "zh": "连续楼层平面图提取",
   "level": "l3"
  },
  "CAP_24c7e069": {
   "en": "Region Proposal and Semantic Encoding",
   "zh": "区域提案与语义编码",
   "level": "l2"
  },
  "CAP_fa5059ed": {
   "en": "Semantic Matching and Geometric Verification",
   "zh": "语义匹配与几何验证",
   "level": "l2"
  },
  "CAP_b899da53": {
   "en": "Floor Plan Region Proposal",
   "zh": "平面图区域提案",
   "level": "l3"
  },
  "CAP_f6104d80": {
   "en": "Cross-floor Semantic Matching",
   "zh": "跨楼层语义匹配",
   "level": "l3"
  },
  "CAP_c43b98ae": {
   "en": "Feature and Hypothesis Generation",
   "zh": "特征提取与深度假设生成",
   "level": "l2"
  },
  "CAP_fdae345d": {
   "en": "Cost Volume Building",
   "zh": "代价体构建",
   "level": "l2"
  },
  "CAP_9c3fe384": {
   "en": "Cost Volume Regularization",
   "zh": "代价体正则化",
   "level": "l2"
  },
  "CAP_169d98f3": {
   "en": "Depth Regression and Refinement",
   "zh": "深度回归与精化",
   "level": "l2"
  },
  "CAP_c7ddb306": {
   "en": "Depth Hypothesis Sampling",
   "zh": "深度假设采样",
   "level": "l3"
  },
  "CAP_d9c68cde": {
   "en": "Cost Volume Construction",
   "zh": "代价体构建",
   "level": "l3"
  },
  "CAP_b9e79acc": {
   "en": "3D CNN Cost Volume Regularization",
   "zh": "3D CNN代价体正则化",
   "level": "l3"
  },
  "CAP_3faf92a9": {
   "en": "Soft Argmin Depth Regression",
   "zh": "Soft argmin深度回归",
   "level": "l3"
  },
  "CAP_3f3b7e11": {
   "en": "Depth Map Refinement",
   "zh": "深度图精化",
   "level": "l3"
  },
  "CAP_5bae2662": {
   "en": "Cascade Depth Estimation",
   "zh": "级联深度估计",
   "level": "l3"
  },
  "CAP_bc711a84": {
   "en": "Self-Supervised Monocular Depth and Pose Learning",
   "zh": "自监督单目深度与位姿学习",
   "level": "l2"
  },
  "CAP_ded0795b": {
   "en": "Monocular Depth Estimation from Video",
   "zh": "单目视频深度估计",
   "level": "l3"
  },
  "CAP_3e083bde": {
   "en": "Ego-Motion Estimation from Monocular Video",
   "zh": "单目视频自运动估计",
   "level": "l3"
  },
  "CAP_3a4a9ea0": {
   "en": "View Synthesis as Self-Supervision",
   "zh": "视图合成自监督",
   "level": "l3"
  },
  "CAP_303dbd66": {
   "en": "Self-Supervised Training Optimization",
   "zh": "自监督训练优化",
   "level": "l3"
  },
  "CAP_13f12563": {
   "en": "Temporal-Spatial Feature Extraction (Multi-Frame)",
   "zh": "多帧时空特征提取",
   "level": "l2"
  },
  "CAP_f47dfc6d": {
   "en": "Temporal-Spatial Feature Extraction",
   "zh": "时空特征提取",
   "level": "l3"
  },
  "CAP_ecdfdc65": {
   "en": "Cross-Frame Attention Fusion (Multi-Frame)",
   "zh": "多帧跨帧注意力融合",
   "level": "l2"
  },
  "CAP_f52e139d": {
   "en": "Cross-Frame Attention Fusion",
   "zh": "跨帧注意力融合",
   "level": "l3"
  },
  "CAP_bd804ca5": {
   "en": "Target Frame Reconstruction (Multi-Frame)",
   "zh": "多帧目标帧特征重建",
   "level": "l2"
  },
  "CAP_16537fa8": {
   "en": "Target Frame Reconstruction",
   "zh": "目标帧特征重建",
   "level": "l3"
  },
  "CAP_2ad0ddbf": {
   "en": "Dense Depth Decoding (Multi-Frame)",
   "zh": "多帧稠密深度解码",
   "level": "l2"
  },
  "CAP_a09c068c": {
   "en": "Dense Depth Decoding",
   "zh": "稠密深度解码",
   "level": "l3"
  },
  "CAP_242cadbe": {
   "en": "Sample Acquisition and Preparation",
   "zh": "样本采集与前处理",
   "level": "l3"
  },
  "CAP_0b6b842c": {
   "en": "Chromatographic Separation and Detection",
   "zh": "色谱分离与检测定量",
   "level": "l2"
  },
  "CAP_bad03921": {
   "en": "Data Postprocessing and Reporting",
   "zh": "数据后处理与报告",
   "level": "l2"
  },
  "CAP_4f16307b": {
   "en": "Chromatographic Separation",
   "zh": "色谱分离",
   "level": "l3"
  },
  "CAP_f25b902c": {
   "en": "Detector Selection",
   "zh": "检测器选择",
   "level": "l3"
  },
  "CAP_353e472e": {
   "en": "Multi-Detector Chromatography",
   "zh": "多检测器色谱",
   "level": "l3"
  },
  "CAP_72c3cf18": {
   "en": "GC-MS Quantitative Analysis",
   "zh": "气相色谱-质谱定量分析",
   "level": "l3"
  },
  "CAP_01db29eb": {
   "en": "Chromatography Data Processing",
   "zh": "色谱数据处理",
   "level": "l3"
  },
  "CAP_9911bc39": {
   "en": "Standard Gas Calibration Protocol",
   "zh": "标准气体校准协议",
   "level": "l3"
  },
  "CAP_bbf2fa33": {
   "en": "Open Air Perception",
   "zh": "开放环境感知",
   "level": "l2"
  },
  "CAP_e261db87": {
   "en": "Open Air Identification and Decision",
   "zh": "开放环境辨识与决策",
   "level": "l2"
  },
  "CAP_129036de": {
   "en": "Open Air Source Localization",
   "zh": "开放环境气源定位",
   "level": "l2"
  },
  "CAP_c5b5117d": {
   "en": "Gas Sensor Array Acquisition and Preprocessing",
   "zh": "气体传感阵列采集与预处理",
   "level": "l3"
  },
  "CAP_5106fe81": {
   "en": "Open Air Gas Classification",
   "zh": "开放环境气体分类",
   "level": "l3"
  },
  "CAP_0f411cbc": {
   "en": "Wind Gradient Fusion",
   "zh": "风速梯度融合",
   "level": "l3"
  },
  "CAP_1502692b": {
   "en": "Infotaxis Multi-Gas Planner",
   "zh": "多气体信息驱动搜索规划",
   "level": "l3"
  },
  "CAP_8cffdf79": {
   "en": "Interference Gas Handling",
   "zh": "干扰气体处理",
   "level": "l3"
  },
  "CAP_875da498": {
   "en": "Multi-Source Data Association",
   "zh": "多源数据关联",
   "level": "l3"
  },
  "CAP_5aa335af": {
   "en": "Cross-Sensor Data Preprocessing and Alignment",
   "zh": "跨传感器数据预处理与对齐",
   "level": "l2"
  },
  "CAP_9e16be6c": {
   "en": "Cross-Sensor Representation Learning and Adaptation",
   "zh": "跨传感器表征学习与域自适应",
   "level": "l3"
  },
  "CAP_8c75c78d": {
   "en": "Cross-Domain Gas Discrimination",
   "zh": "跨域气体判别",
   "level": "l2"
  },
  "CAP_83509311": {
   "en": "Multi-Sensor Gas Data Alignment and Preprocessing",
   "zh": "多传感器气体数据对齐与预处理",
   "level": "l3"
  },
  "CAP_f2abab08": {
   "en": "Cross-Sensor Gas Embedding",
   "zh": "跨传感器气体嵌入",
   "level": "l3"
  },
  "CAP_5402d25b": {
   "en": "Domain-Adaptive Gas Transfer",
   "zh": "域自适应气体迁移",
   "level": "l3"
  },
  "CAP_7f609957": {
   "en": "Few-Shot Gas Discrimination",
   "zh": "少样本气体辨识",
   "level": "l3"
  },
  "CAP_f9da7ecc": {
   "en": "Multimodal Gas-Text Alignment",
   "zh": "多模态气体-文本对齐",
   "level": "l3"
  },
  "CAP_70743961": {
   "en": "Open-Set Gas Recognition",
   "zh": "开集气体识别",
   "level": "l3"
  },
  "CAP_8c6f7fa3": {
   "en": "Goal Set Parsing and Graph Construction",
   "zh": "目标集解析与图构建",
   "level": "l2"
  },
  "CAP_8b82300e": {
   "en": "Goal Pose Parsing",
   "zh": "目标位姿解析",
   "level": "l3"
  },
  "CAP_b9fe2d70": {
   "en": "Cost Graph Construction",
   "zh": "代价图构建",
   "level": "l3"
  },
  "CAP_b25e17e2": {
   "en": "Goal Sequence Optimization",
   "zh": "目标访问顺序优化",
   "level": "l2"
  },
  "CAP_015aff43": {
   "en": "TSP Goal Sequence Solver",
   "zh": "TSP目标顺序求解器",
   "level": "l3"
  },
  "CAP_5c31446b": {
   "en": "Pose-constrained Motion Planning",
   "zh": "位姿约束运动规划",
   "level": "l2"
  },
  "CAP_e946e221": {
   "en": "Pose-constrained Motion Planner",
   "zh": "位姿约束运动规划器",
   "level": "l3"
  },
  "CAP_08684590": {
   "en": "Decoupled Planning Fallback",
   "zh": "解耦规划回退策略",
   "level": "l3"
  },
  "CAP_de56ed21": {
   "en": "Path Stitching and Trajectory Post-processing",
   "zh": "路径拼接与轨迹后处理",
   "level": "l2"
  },
  "CAP_84e8dac4": {
   "en": "Multi-segment Path Stitching",
   "zh": "多段路径拼接",
   "level": "l3"
  },
  "CAP_45291ef9": {
   "en": "Joint Sampling and Optimization Pipeline",
   "zh": "联合采样优化流水线",
   "level": "l3"
  },
  "CAP_c0bcc93c": {
   "en": "JointSpaceGoalSampling",
   "zh": "联合空间目标采样",
   "level": "l3"
  },
  "CAP_6b774282": {
   "en": "MultiGoalRRTStar",
   "zh": "多目标RRT*",
   "level": "l3"
  },
  "CAP_04d500a2": {
   "en": "End-to-End Perception and Goal Encoding",
   "zh": "端到端感知与目标编码",
   "level": "l2"
  },
  "CAP_2edf9d5d": {
   "en": "End-to-End Policy Decision and Execution",
   "zh": "端到端策略决策与执行",
   "level": "l2"
  },
  "CAP_cc8cc06d": {
   "en": "End-to-End Policy Optimization",
   "zh": "端到端策略优化",
   "level": "l2"
  },
  "CAP_6e724ff4": {
   "en": "Laser and Depth Data Acquisition and Preprocessing",
   "zh": "激光与深度数据采集与预处理",
   "level": "l3"
  },
  "CAP_9aa5e5b8": {
   "en": "GNN-based Goal Set Encoding",
   "zh": "基于GNN的目标集编码",
   "level": "l3"
  },
  "CAP_34eb4167": {
   "en": "Laser-DRL Joint Policy",
   "zh": "激光DRL联合策略",
   "level": "l3"
  },
  "CAP_4dd080a6": {
   "en": "Action Execution and Environment Interaction",
   "zh": "动作执行与环境交互",
   "level": "l3"
  },
  "CAP_5fb1842e": {
   "en": "Hierarchical End-to-End Navigation",
   "zh": "分层端到端导航",
   "level": "l3"
  },
  "CAP_dc32ab35": {
   "en": "DRL Policy Optimization",
   "zh": "DRL策略优化",
   "level": "l3"
  },
  "CAP_011360da": {
   "en": "Environment Sharding and Parallel Sampling",
   "zh": "环境分片与并行采样",
   "level": "l2"
  },
  "CAP_e903873c": {
   "en": "Local Computation and Gradient Aggregation",
   "zh": "局部计算与梯度聚合",
   "level": "l2"
  },
  "CAP_4d9a483c": {
   "en": "Global Policy Synchronous Update",
   "zh": "全局策略同步更新",
   "level": "l2"
  },
  "CAP_5195f6a6": {
   "en": "Environment Shard Initialization",
   "zh": "环境分片初始化",
   "level": "l3"
  },
  "CAP_977a79f8": {
   "en": "Parallel Rollout Sampling",
   "zh": "并行Rollout采样",
   "level": "l3"
  },
  "CAP_67aac13c": {
   "en": "Local GAE and Gradient Computation",
   "zh": "局部优势估计与梯度计算",
   "level": "l3"
  },
  "CAP_0328e409": {
   "en": "All-reduce Gradient Aggregation",
   "zh": "跨GPU梯度聚合（All-reduce）",
   "level": "l3"
  },
  "CAP_a8569860": {
   "en": "Synchronous Policy Update",
   "zh": "全局策略同步更新",
   "level": "l3"
  },
  "CAP_1ca9c57d": {
   "en": "Pipeline Initialization and Device Affinity",
   "zh": "流水线初始化与设备亲和性声明",
   "level": "l2"
  },
  "CAP_d716d3ef": {
   "en": "Asynchronous Physics and State Synchronization",
   "zh": "异步物理步进与状态同步",
   "level": "l2"
  },
  "CAP_2d2f1191": {
   "en": "Render Inference and Action Closure",
   "zh": "渲染推理与动作闭环",
   "level": "l2"
  },
  "CAP_ff75abcf": {
   "en": "Physics Render Device Affinity",
   "zh": "物理/渲染设备亲和性声明",
   "level": "l3"
  },
  "CAP_6de2822e": {
   "en": "Asynchronous Physics Step",
   "zh": "异步物理步进",
   "level": "l3"
  },
  "CAP_030ff67a": {
   "en": "Cross Device State Sync",
   "zh": "跨设备状态同步",
   "level": "l3"
  },
  "CAP_20b42085": {
   "en": "Render From Physics State",
   "zh": "从物理状态渲染传感器",
   "level": "l3"
  },
  "CAP_e74bee9c": {
   "en": "Asynchronous Policy Inference",
   "zh": "异步策略推理",
   "level": "l3"
  },
  "CAP_49e9ff20": {
   "en": "Pipeline Orchestrator",
   "zh": "流水线协调器",
   "level": "l3"
  },
  "CAP_ab9073e2": {
   "en": "Scene Partitioning and Assignment",
   "zh": "场景分割与分配",
   "level": "l2"
  },
  "CAP_f35cf437": {
   "en": "Local Simulation",
   "zh": "本地仿真",
   "level": "l2"
  },
  "CAP_1a94dcd0": {
   "en": "Distributed Boundary Synchronization",
   "zh": "分布式边界同步",
   "level": "l2"
  },
  "CAP_fafa9450": {
   "en": "Global State Aggregation and Output",
   "zh": "全局状态聚合与输出",
   "level": "l2"
  },
  "CAP_8fa8f83b": {
   "en": "Sync Barrier and Time Management",
   "zh": "同步屏障与时间管理",
   "level": "l2"
  },
  "CAP_c5334429": {
   "en": "Spatial Scene Partitioning",
   "zh": "空间场景分割",
   "level": "l3"
  },
  "CAP_1c5058a4": {
   "en": "Shard Simulator Initialization",
   "zh": "分片仿真器初始化",
   "level": "l3"
  },
  "CAP_762a887f": {
   "en": "Physics Step",
   "zh": "物理步进",
   "level": "l3"
  },
  "CAP_f5657f66": {
   "en": "Agent Behavior Update",
   "zh": "智能体行为更新",
   "level": "l3"
  },
  "CAP_4ae5dbf2": {
   "en": "Scene Query",
   "zh": "场景查询",
   "level": "l3"
  },
  "CAP_da4be52c": {
   "en": "Cross-Shard Boundary Sync",
   "zh": "跨分片边界同步",
   "level": "l3"
  },
  "CAP_c1c1ca0a": {
   "en": "Global State Aggregation",
   "zh": "全局状态聚合",
   "level": "l3"
  },
  "CAP_36e18c45": {
   "en": "Global Synchronization Barrier",
   "zh": "全局同步屏障",
   "level": "l3"
  },
  "CAP_6b781114": {
   "en": "Time Advance",
   "zh": "时间推进",
   "level": "l3"
  },
  "CAP_bac4cd72": {
   "en": "LLM based Query Planning",
   "zh": "基于大语言模型的查询规划",
   "level": "l2"
  },
  "CAP_9e62e573": {
   "en": "Graph Execution and Feedback Loop",
   "zh": "图执行与反馈循环",
   "level": "l2"
  },
  "CAP_54b522ac": {
   "en": "Multi hop Path Verification and Answer Synthesis",
   "zh": "多跳路径验证与答案合成",
   "level": "l2"
  },
  "CAP_0d2021a0": {
   "en": "LLM driven Path Planning",
   "zh": "大语言模型驱动的路径规划",
   "level": "l3"
  },
  "CAP_4841eb97": {
   "en": "Graph Execution and Feedback",
   "zh": "图执行与反馈",
   "level": "l3"
  },
  "CAP_5bcec632": {
   "en": "Multi hop Path Verification",
   "zh": "多跳路径验证",
   "level": "l3"
  },
  "CAP_6fe8aad0": {
   "en": "VLA Multimodal Perception",
   "zh": "VLA 多模态感知",
   "level": "l2"
  },
  "CAP_28b58ecf": {
   "en": "Multimodal Feature Concatenation",
   "zh": "多模态特征拼接",
   "level": "l3"
  },
  "CAP_cbd254f9": {
   "en": "VLA Implicit Multi-hop Reasoning",
   "zh": "VLA 隐式多跳推理",
   "level": "l2"
  },
  "CAP_19805e70": {
   "en": "VLA Implicit Spatial Reasoning",
   "zh": "VLA 隐式空间关系推理",
   "level": "l3"
  },
  "CAP_2e400b7f": {
   "en": "VLA Implicit Semantic Chaining",
   "zh": "VLA 隐式语义属性链推理",
   "level": "l3"
  },
  "CAP_543e90d5": {
   "en": "VLA Implicit Temporal Causal Reasoning",
   "zh": "VLA 隐式时序因果推理",
   "level": "l3"
  },
  "CAP_079d7558": {
   "en": "Action Decoding via Autoregressive Head",
   "zh": "自回归动作解码",
   "level": "l3"
  },
  "CAP_b3b97c8b": {
   "en": "3D Scene Perception and Feature Field Construction",
   "zh": "3D场景感知与特征场构建",
   "level": "l2"
  },
  "CAP_07b55a77": {
   "en": "Continuous Spatial Relation Path Reasoning",
   "zh": "连续空间关系路径推理",
   "level": "l2"
  },
  "CAP_948605a6": {
   "en": "Path Confidence Evaluation",
   "zh": "路径置信度评估",
   "level": "l2"
  },
  "CAP_448aaaf5": {
   "en": "3D Gaussian Splatting Reconstruction",
   "zh": "3D高斯泼溅重建",
   "level": "l3"
  },
  "CAP_efa23b78": {
   "en": "Feature Distillation to 3D Field",
   "zh": "特征蒸馏到3D场",
   "level": "l3"
  },
  "CAP_43bd5e88": {
   "en": "Open Vocabulary 3D Entity Grounding",
   "zh": "开放词汇3D实体定位",
   "level": "l3"
  },
  "CAP_8e57d643": {
   "en": "Continuous Spatial Relation Scoring",
   "zh": "连续空间关系评分",
   "level": "l3"
  },
  "CAP_b2481a2f": {
   "en": "Multi-hop Path Integrator",
   "zh": "多跳路径积分器",
   "level": "l3"
  },
  "CAP_93e1aa0a": {
   "en": "Path Confidence Scoring",
   "zh": "路径置信度评分",
   "level": "l3"
  },
  "CAP_62831e66": {
   "en": "Multi-Hypothesis Tracking",
   "zh": "多假设跟踪",
   "level": "l2"
  },
  "CAP_45123ae2": {
   "en": "MHT Observation Gating",
   "zh": "MHT 观测门限过滤",
   "level": "l3"
  },
  "CAP_c6d4b6c4": {
   "en": "MHT Hypothesis Tree Propagation",
   "zh": "MHT 假设树传播",
   "level": "l3"
  },
  "CAP_497f0d7a": {
   "en": "MHT Bayesian Probability Update",
   "zh": "MHT 贝叶斯概率更新",
   "level": "l3"
  },
  "CAP_73304473": {
   "en": "MHT N-Scan Pruning",
   "zh": "MHT N 扫描剪枝",
   "level": "l3"
  },
  "CAP_7ff42ac9": {
   "en": "MHT Hypothesis Merging",
   "zh": "MHT 假设合并",
   "level": "l3"
  },
  "CAP_54b23cb7": {
   "en": "MHT Hypothesis Confirmation",
   "zh": "MHT 假设确认",
   "level": "l3"
  },
  "CAP_a1291f55": {
   "en": "RFS Multi-Object State Modeling",
   "zh": "RFS 多目标状态建模",
   "level": "l2"
  },
  "CAP_52f15f67": {
   "en": "RFS Multi-Object Observation Modeling",
   "zh": "RFS 多目标观测建模",
   "level": "l2"
  },
  "CAP_e5ce58b1": {
   "en": "RFS Multi-Object Bayesian Recursion",
   "zh": "RFS 多目标贝叶斯递推",
   "level": "l2"
  },
  "CAP_fc4b8dee": {
   "en": "RFS Approximate Implementation",
   "zh": "RFS 近似实现",
   "level": "l2"
  },
  "CAP_81415f22": {
   "en": "RFS State Estimation",
   "zh": "RFS 状态估计",
   "level": "l2"
  },
  "CAP_11c547b6": {
   "en": "RFS State Set Modeling",
   "zh": "RFS 状态集建模",
   "level": "l3"
  },
  "CAP_2a30ecdd": {
   "en": "RFS Observation Set Modeling",
   "zh": "RFS 观测集建模",
   "level": "l3"
  },
  "CAP_72e046ec": {
   "en": "RFS Bayesian Prediction",
   "zh": "RFS 贝叶斯预测",
   "level": "l3"
  },
  "CAP_b949121a": {
   "en": "RFS Bayesian Update",
   "zh": "RFS 贝叶斯更新",
   "level": "l3"
  },
  "CAP_6c8e1526": {
   "en": "Approximate Method Selection",
   "zh": "近似方法选择",
   "level": "l3"
  },
  "CAP_7e6fd993": {
   "en": "CPHD Cardinality Estimation",
   "zh": "CPHD 势估计",
   "level": "l3"
  },
  "CAP_3b5296fc": {
   "en": "Multi-Bernoulli Hypothesis Maintenance",
   "zh": "多伯努利假设维护",
   "level": "l3"
  },
  "CAP_dbdc4fae": {
   "en": "Labeled Multi-Bernoulli Trajectory Formation",
   "zh": "标签多伯努利轨迹形成",
   "level": "l3"
  },
  "CAP_7633b41d": {
   "en": "RFS-Based SLAM Frontend",
   "zh": "RFS-SLAM 前端",
   "level": "l3"
  },
  "CAP_375a89a5": {
   "en": "Approximation Result Aggregation",
   "zh": "近似结果聚合",
   "level": "l3"
  },
  "CAP_f09dbc9b": {
   "en": "Trajectory Formation",
   "zh": "轨迹形成",
   "level": "l3"
  },
  "CAP_5c2bd9ef": {
   "en": "Graph Construction and Feature Encoding",
   "zh": "图构建与特征编码",
   "level": "l2"
  },
  "CAP_57d2b95e": {
   "en": "Graph Message Passing and Association Prediction",
   "zh": "图消息传递与关联预测",
   "level": "l2"
  },
  "CAP_4a07d87d": {
   "en": "Hypothesis Graph Update and Branching",
   "zh": "假设图更新与分支",
   "level": "l2"
  },
  "CAP_a823bd82": {
   "en": "Graph Construction from Tracks and Detections",
   "zh": "轨迹与检测的图构建",
   "level": "l3"
  },
  "CAP_2815ba51": {
   "en": "GNN Message Passing for Association",
   "zh": "GNN 消息传递关联",
   "level": "l3"
  },
  "CAP_0cb84964": {
   "en": "Optimal Transport Assignment",
   "zh": "最优传输分配",
   "level": "l3"
  },
  "CAP_693adfd2": {
   "en": "Hypothesis Branching from Soft Assignment",
   "zh": "软分配驱动的假设分支",
   "level": "l3"
  },
  "CAP_f22fd015": {
   "en": "Task Parsing and Modality Decomposition",
   "zh": "任务解析与模态分解",
   "level": "l2"
  },
  "CAP_3fe29285": {
   "en": "Agent Instantiation and Role Assignment",
   "zh": "智能体实例化与角色分配",
   "level": "l2"
  },
  "CAP_8512f19d": {
   "en": "Shared Memory Bus Management",
   "zh": "共享记忆总线管理",
   "level": "l2"
  },
  "CAP_136d9b97": {
   "en": "Iterative Execution and Dynamic Routing",
   "zh": "迭代执行与动态路由",
   "level": "l2"
  },
  "CAP_06072a62": {
   "en": "Result Aggregation and Closed-loop Verification",
   "zh": "结果聚合与闭环验证",
   "level": "l2"
  },
  "CAP_3e5fe5b8": {
   "en": "Modality-aware Task Decomposition",
   "zh": "模态感知任务分解",
   "level": "l3"
  },
  "CAP_0f652961": {
   "en": "Agent Instantiation and Tool Binding",
   "zh": "智能体实例化与工具绑定",
   "level": "l3"
  },
  "CAP_9d0ccf20": {
   "en": "Shared Multimodal Memory Bus",
   "zh": "共享多模态记忆总线",
   "level": "l3"
  },
  "CAP_960ea081": {
   "en": "Heterogeneous Agent Routing",
   "zh": "异构智能体路由",
   "level": "l3"
  },
  "CAP_2364b43f": {
   "en": "Long-horizon Task DAG Execution",
   "zh": "长程任务DAG执行",
   "level": "l3"
  },
  "CAP_10de8910": {
   "en": "Human-in-the-loop Gating",
   "zh": "人机协作门控",
   "level": "l3"
  },
  "CAP_e2b94a58": {
   "en": "Cross-modal Semantic Alignment",
   "zh": "跨模态语义对齐",
   "level": "l3"
  },
  "CAP_7074faf0": {
   "en": "Multimodal Perception and World State Initialization",
   "zh": "多模态感知与世界状态初始化",
   "level": "l2"
  },
  "CAP_4fac771a": {
   "en": "World Model Dynamics and Forward Simulation",
   "zh": "世界模型动态更新与前向模拟",
   "level": "l2"
  },
  "CAP_6320f21e": {
   "en": "Intention Inference and Implicit Coordination",
   "zh": "基于意图推断的隐式协调",
   "level": "l2"
  },
  "CAP_0359aaf6": {
   "en": "Egocentric Decision and Execution",
   "zh": "自我中心决策与行动执行",
   "level": "l2"
  },
  "CAP_20763da7": {
   "en": "Closed-loop Feedback and Model Calibration",
   "zh": "闭环反馈与模型校正",
   "level": "l2"
  },
  "CAP_fae98460": {
   "en": "Multimodal World State Estimation",
   "zh": "多模态世界状态估计",
   "level": "l3"
  },
  "CAP_b3fe95af": {
   "en": "Predictive World Model Simulation",
   "zh": "预测性世界模型仿真",
   "level": "l3"
  },
  "CAP_6a66da51": {
   "en": "Implicit Intention Inference",
   "zh": "隐式意图推断",
   "level": "l3"
  },
  "CAP_f3b0557e": {
   "en": "Decentralized Silent Coordination Policy",
   "zh": "去中心化无声协同策略",
   "level": "l3"
  },
  "CAP_5fabc35d": {
   "en": "Multimodal Instruction Parsing",
   "zh": "多模态指令解析",
   "level": "l2"
  },
  "CAP_64f8d89f": {
   "en": "Scene Understanding and Object Grounding",
   "zh": "场景理解与物体定位",
   "level": "l2"
  },
  "CAP_6687c16b": {
   "en": "Open-Vocabulary Scene Grounding",
   "zh": "开放词汇场景锚定",
   "level": "l3"
  },
  "CAP_07517337": {
   "en": "Task Decomposition and Role Allocation",
   "zh": "任务分解与角色分配",
   "level": "l2"
  },
  "CAP_d993e4be": {
   "en": "Physical Task Decomposition and Role Allocation",
   "zh": "物理任务分解与角色分配",
   "level": "l3"
  },
  "CAP_a6ece9ab": {
   "en": "VLA Policy Inference",
   "zh": "视觉-语言-动作策略推理",
   "level": "l2"
  },
  "CAP_ef36345a": {
   "en": "Embodied VLA Inference",
   "zh": "具身视觉-语言-动作推理",
   "level": "l3"
  },
  "CAP_18e6fa8b": {
   "en": "Closed-loop Motion Execution",
   "zh": "闭环运动执行",
   "level": "l2"
  },
  "CAP_4d394321": {
   "en": "Closed-loop Visual Servoing Control",
   "zh": "闭环视觉伺服控制",
   "level": "l3"
  },
  "CAP_beed74f8": {
   "en": "Multi-Robot Workspace Coordination",
   "zh": "多机器人工作空间协调",
   "level": "l2"
  },
  "CAP_dc28bc32": {
   "en": "Swarm Workspace Coordination",
   "zh": "群体工作空间协调",
   "level": "l3"
  },
  "CAP_318c6001": {
   "en": "Multimodal Understanding and Reasoning",
   "zh": "多模态理解与推理",
   "level": "l2"
  },
  "CAP_971d3859": {
   "en": "Action Generation and Execution",
   "zh": "动作生成与执行",
   "level": "l2"
  },
  "CAP_302e1b8a": {
   "en": "Embodied Reasoning",
   "zh": "具身推理",
   "level": "l3"
  },
  "CAP_7512737a": {
   "en": "Action Generation Diffusion",
   "zh": "扩散动作生成",
   "level": "l3"
  },
  "CAP_d75bc4b7": {
   "en": "Action Generation Autoregressive",
   "zh": "自回归动作生成",
   "level": "l3"
  },
  "CAP_6de93c79": {
   "en": "Implicit Behavior Switching",
   "zh": "隐式行为切换",
   "level": "l3"
  },
  "CAP_a4034781": {
   "en": "Action Dequantization and Execution",
   "zh": "动作反量化与执行",
   "level": "l3"
  },
  "CAP_37007759": {
   "en": "Multimodal Data Preparation and Tokenization",
   "zh": "多模态数据准备与分词",
   "level": "l2"
  },
  "CAP_74eefe57": {
   "en": "Cross-modal Pretraining and Alignment",
   "zh": "跨模态预训练与对齐",
   "level": "l2"
  },
  "CAP_597f7319": {
   "en": "Action Generation and Generalization",
   "zh": "动作生成与泛化",
   "level": "l2"
  },
  "CAP_a585d29f": {
   "en": "Multimodal Data Acquisition and Alignment",
   "zh": "多模态数据采集与对齐",
   "level": "l3"
  },
  "CAP_97552e86": {
   "en": "Cross-modal Action Tokenization",
   "zh": "跨模态动作分词",
   "level": "l3"
  },
  "CAP_58ad2f07": {
   "en": "Visuomotor Pretrained Encoder",
   "zh": "视觉-运动预训练编码器",
   "level": "l3"
  },
  "CAP_9aa55b91": {
   "en": "Contrastive Cross-modal Alignment",
   "zh": "对比跨模态对齐",
   "level": "l3"
  },
  "CAP_115d3b5e": {
   "en": "Language Grounded Behavior Retrieval",
   "zh": "语言引导行为检索",
   "level": "l3"
  },
  "CAP_bf40abe4": {
   "en": "Cross-embodiment Behavior Transfer",
   "zh": "跨具身行为迁移",
   "level": "l3"
  },
  "CAP_8b2cf25c": {
   "en": "Simulation Scene Preparation",
   "zh": "仿真场景准备",
   "level": "l2"
  },
  "CAP_f43cc3f8": {
   "en": "Multimodal Rendering and Annotation",
   "zh": "多模态渲染与标注",
   "level": "l2"
  },
  "CAP_703e9d4c": {
   "en": "Data Packaging and Streaming",
   "zh": "数据打包与流式输出",
   "level": "l2"
  },
  "CAP_33e7fc20": {
   "en": "Scene Asset Loading",
   "zh": "场景资产加载",
   "level": "l3"
  },
  "CAP_14ac940c": {
   "en": "Domain Randomization Distribution Sampler",
   "zh": "域随机化分布采样器",
   "level": "l3"
  },
  "CAP_bad4a81d": {
   "en": "Multi-modal Render MRT",
   "zh": "多渲染目标多模态渲染",
   "level": "l3"
  },
  "CAP_6fb5412b": {
   "en": "Multi-modal Annotation Auto",
   "zh": "多模态自动标注",
   "level": "l3"
  },
  "CAP_33a4472b": {
   "en": "Streaming Data Writer",
   "zh": "流式数据写入器",
   "level": "l3"
  },
  "CAP_d5dedc86": {
   "en": "Video Generation World Model Inference",
   "zh": "视频生成世界模型推理",
   "level": "l2"
  },
  "CAP_8ac29041": {
   "en": "Video World Model Inference",
   "zh": "视频世界模型推理",
   "level": "l3"
  },
  "CAP_e7222f5a": {
   "en": "Multimodal Data Extraction",
   "zh": "多模态数据提取",
   "level": "l2"
  },
  "CAP_244b4f26": {
   "en": "Multimodal Frame Extraction",
   "zh": "多模态帧提取",
   "level": "l3"
  },
  "CAP_eb960424": {
   "en": "Action Sequence Annotation",
   "zh": "动作序列标注",
   "level": "l2"
  },
  "CAP_cbe1869d": {
   "en": "Inverse Dynamics Labeling",
   "zh": "逆动力学动作标注",
   "level": "l3"
  },
  "CAP_18584968": {
   "en": "Data Quality Control and Filtering",
   "zh": "数据质量控制与过滤",
   "level": "l2"
  },
  "CAP_e43eafb9": {
   "en": "Physics Plausibility Filter",
   "zh": "物理合理性过滤器",
   "level": "l3"
  },
  "CAP_e7160180": {
   "en": "Task Relevance Scoring",
   "zh": "任务相关性评分",
   "level": "l3"
  },
  "CAP_f30cd007": {
   "en": "Scene Description and Generation Preparation",
   "zh": "场景描述与生成准备",
   "level": "l2"
  },
  "CAP_9167c849": {
   "en": "Scene Description Construction",
   "zh": "场景描述构建",
   "level": "l3"
  },
  "CAP_64872507": {
   "en": "Multimodal Generation and Alignment",
   "zh": "多模态生成与对齐",
   "level": "l2"
  },
  "CAP_e199da30": {
   "en": "Scene Description to Multimodal Generation",
   "zh": "场景描述到多模态生成",
   "level": "l3"
  },
  "CAP_b9b41268": {
   "en": "Multimodal Alignment Verification",
   "zh": "多模态对齐校验",
   "level": "l3"
  },
  "CAP_ee8d303a": {
   "en": "Multimodal LLM Data Augmentation",
   "zh": "多模态 LLM 数据增强",
   "level": "l3"
  },
  "CAP_79bee0d7": {
   "en": "Quality Filtering and Standardization",
   "zh": "质量过滤与标准化",
   "level": "l2"
  },
  "CAP_06f5801c": {
   "en": "Depth Map Refinement from RGB",
   "zh": "RGB 引导深度图精化",
   "level": "l3"
  },
  "CAP_00379a63": {
   "en": "Multimodal Quality Filtering",
   "zh": "多模态质量过滤",
   "level": "l3"
  },
  "CAP_229ec23b": {
   "en": "Multimodal Data Format Standardization",
   "zh": "多模态数据格式标准化",
   "level": "l3"
  },
  "CAP_879b2250": {
   "en": "Wearable Multimodal Signal Acquisition",
   "zh": "可穿戴多模态信号采集",
   "level": "l2"
  },
  "CAP_7af4ec29": {
   "en": "Environmental Hand Perception",
   "zh": "环境手部感知",
   "level": "l2"
  },
  "CAP_d0a84457": {
   "en": "Heterogeneous Data Alignment",
   "zh": "异构数据对齐",
   "level": "l2"
  },
  "CAP_4020d1f8": {
   "en": "Gesture Inference",
   "zh": "手势推断",
   "level": "l2"
  },
  "CAP_84fa731b": {
   "en": "EgoCentric EMG IMU Fine-Grained Sensing",
   "zh": "第一人称肌电惯性精细感知",
   "level": "l3"
  },
  "CAP_e9834cd5": {
   "en": "ExoCentric Vision Hand Pose Estimation",
   "zh": "第三人称视觉手部姿态估计",
   "level": "l3"
  },
  "CAP_f568934f": {
   "en": "Heterogeneous Spatiotemporal Alignment and Normalization",
   "zh": "异构时空对齐与归一化",
   "level": "l3"
  },
  "CAP_8c439207": {
   "en": "Adaptive IMU Drift Calibration",
   "zh": "自适应IMU漂移校准",
   "level": "l3"
  },
  "CAP_f8a9189d": {
   "en": "Heterogeneous Sensor Fusion for Gesture",
   "zh": "异构传感器手势融合",
   "level": "l3"
  },
  "CAP_28dc8a86": {
   "en": "Fine-Grained Gesture Classification with Confidence",
   "zh": "精细手势分类与置信度评估",
   "level": "l3"
  },
  "CAP_a436105d": {
   "en": "Multimodal Gesture Stream Access and Synchronization",
   "zh": "多模态手势数据流接入与同步",
   "level": "l2"
  },
  "CAP_9f8bf3e1": {
   "en": "Hand Motion Temporal Prediction",
   "zh": "手部运动时序预测",
   "level": "l2"
  },
  "CAP_130bcfe6": {
   "en": "Hand Robot Motion Mapping",
   "zh": "人手-机器人运动映射",
   "level": "l2"
  },
  "CAP_0aee63dd": {
   "en": "Robot Control Command Generation and Dispatch",
   "zh": "机器人控制指令生成与下发",
   "level": "l2"
  },
  "CAP_7b55e6b3": {
   "en": "Multimodal Gesture Stream Synchronization",
   "zh": "多模态手势数据流同步",
   "level": "l3"
  },
  "CAP_11bf5389": {
   "en": "Multimodal Hand Trajectory Prediction",
   "zh": "多模态手部轨迹预测",
   "level": "l3"
  },
  "CAP_1fdf5d38": {
   "en": "Adaptive Hand Robot Mapping",
   "zh": "自适应手-机器人运动映射",
   "level": "l3"
  },
  "CAP_476f4bbc": {
   "en": "Real-time Robot Command Dispatching",
   "zh": "实时机器人指令分发",
   "level": "l3"
  },
  "CAP_fc1b6ae0": {
   "en": "Cross-modal Embedding Alignment",
   "zh": "跨模态嵌入对齐",
   "level": "l2"
  },
  "CAP_b3f9da2f": {
   "en": "Material Classification and Inference",
   "zh": "材质分类与推理",
   "level": "l2"
  },
  "CAP_d9f4673b": {
   "en": "Tactile Signal Encoding",
   "zh": "触觉信号编码",
   "level": "l3"
  },
  "CAP_747287ac": {
   "en": "Shared Embedding Projection",
   "zh": "共享嵌入投影",
   "level": "l3"
  },
  "CAP_e975419a": {
   "en": "Visuo-Tactile Cross-Modal Retrieval",
   "zh": "视-触觉跨模态检索",
   "level": "l3"
  },
  "CAP_b933c6de": {
   "en": "Modality Dropout Inference",
   "zh": "模态缺失推理",
   "level": "l3"
  },
  "CAP_32cb244c": {
   "en": "Active Multisensory Exploration",
   "zh": "主动多感官探查",
   "level": "l2"
  },
  "CAP_e7d6d849": {
   "en": "Active Physics Probe Planning",
   "zh": "主动物理探查点规划",
   "level": "l3"
  },
  "CAP_179a3c96": {
   "en": "Synchronized Multisensory Acquisition",
   "zh": "同步多感官数据采集",
   "level": "l3"
  },
  "CAP_bcd7a72e": {
   "en": "Multimodal Physical Property Inference",
   "zh": "多模态物理属性推理",
   "level": "l2"
  },
  "CAP_40a776ff": {
   "en": "Multimodal Signal Preprocessing and Alignment",
   "zh": "多模态信号预处理与时空对齐",
   "level": "l3"
  },
  "CAP_e3dcbd47": {
   "en": "Physics-Aware Multimodal Fusion",
   "zh": "物理感知多模态融合",
   "level": "l3"
  },
  "CAP_28796372": {
   "en": "Grasp Strategy Mapping and Re-exploration Decision",
   "zh": "抓取策略映射与重探查决策",
   "level": "l2"
  },
  "CAP_e368a708": {
   "en": "Confidence-Based Re-exploration Decision",
   "zh": "基于置信度的重探查决策",
   "level": "l3"
  },
  "CAP_a061ec8b": {
   "en": "Material-to-Grasp Strategy Mapping",
   "zh": "材质到抓取策略映射",
   "level": "l3"
  },
  "CAP_0472dd17": {
   "en": "Multimodal Preprocessing Stage",
   "zh": "多模态数据预处理阶段",
   "level": "l2"
  },
  "CAP_dd66cd7a": {
   "en": "Modality-Specific Encoding Stage",
   "zh": "模态专属编码阶段",
   "level": "l2"
  },
  "CAP_effb8e6b": {
   "en": "Cross-Modal Contrastive Learning Stage",
   "zh": "跨模态对比学习阶段",
   "level": "l2"
  },
  "CAP_5599260a": {
   "en": "Material Clustering and Retrieval Stage",
   "zh": "材质聚类与检索阶段",
   "level": "l2"
  },
  "CAP_f9587f47": {
   "en": "Material Prototype Clustering",
   "zh": "材质原型在线聚类",
   "level": "l3"
  },
  "CAP_2110896a": {
   "en": "Material Embedding Visualization",
   "zh": "材质嵌入可视化",
   "level": "l3"
  },
  "CAP_8635b774": {
   "en": "Market-based Multi-objective Task Allocation",
   "zh": "市场协商多目标任务分配",
   "level": "l3"
  },
  "CAP_d395afa5": {
   "en": "Multi-objective Bid Computation",
   "zh": "多目标出价计算",
   "level": "l3"
  },
  "CAP_5a33ef86": {
   "en": "Pareto Winner Selection",
   "zh": "帕累托赢家选择",
   "level": "l3"
  },
  "CAP_02bc8cfe": {
   "en": "Dynamic Re-auction Trigger",
   "zh": "动态重拍卖触发",
   "level": "l3"
  },
  "CAP_84acb946": {
   "en": "Heterogeneous Capability Matching",
   "zh": "异构能力匹配",
   "level": "l3"
  },
  "CAP_04a7a681": {
   "en": "Graph Environment Building",
   "zh": "图环境构建",
   "level": "l2"
  },
  "CAP_39e6e769": {
   "en": "Graph Policy Encoding",
   "zh": "图策略编码",
   "level": "l3"
  },
  "CAP_2fa63b3b": {
   "en": "MultiObjective RL Training",
   "zh": "多目标强化学习训练",
   "level": "l2"
  },
  "CAP_12a7fe64": {
   "en": "Decentralized Consensus Allocation",
   "zh": "分布式共识分配",
   "level": "l2"
  },
  "CAP_b1a4c616": {
   "en": "MultiObjectiveGraphQNetwork",
   "zh": "多目标图Q网络",
   "level": "l3"
  },
  "CAP_115b00c0": {
   "en": "ParetoConditionedPolicyTrainer",
   "zh": "帕累托条件策略训练器",
   "level": "l3"
  },
  "CAP_32862824": {
   "en": "ConsensusBasedTaskDispatcher",
   "zh": "基于共识的任务分发器",
   "level": "l3"
  },
  "CAP_5c376fdb": {
   "en": "Semantic Understanding and Objective Reasoning",
   "zh": "语义理解与目标推理",
   "level": "l2"
  },
  "CAP_cfd42d19": {
   "en": "Semantic Matching and Explainable Allocation",
   "zh": "语义匹配与可解释分配",
   "level": "l2"
  },
  "CAP_c8b5184f": {
   "en": "Semantic Task Graph Generation",
   "zh": "语义任务图生成",
   "level": "l3"
  },
  "CAP_6750bd95": {
   "en": "Contextual Multi-Objective Weighting",
   "zh": "上下文多目标权重推理",
   "level": "l3"
  },
  "CAP_017fbe1f": {
   "en": "Semantic Capability Task Matching",
   "zh": "语义能力任务匹配",
   "level": "l3"
  },
  "CAP_bb7c3dd2": {
   "en": "Explainable Allocation Synthesis",
   "zh": "可解释分配方案生成",
   "level": "l3"
  },
  "CAP_6ade5893": {
   "en": "Symbolic Constraint Self-Critique",
   "zh": "符号约束自我验证",
   "level": "l3"
  },
  "CAP_d8a546af": {
   "en": "Multi-Objective Task Formalization",
   "zh": "多目标任务形式化",
   "level": "l2"
  },
  "CAP_f5ebd9dd": {
   "en": "Constrained Candidate Generation",
   "zh": "约束感知候选生成",
   "level": "l2"
  },
  "CAP_90d08a81": {
   "en": "Pareto Front Characterization",
   "zh": "Pareto前沿表征",
   "level": "l2"
  },
  "CAP_2400f0ef": {
   "en": "Guided Pareto Exploration",
   "zh": "引导式Pareto探索",
   "level": "l2"
  },
  "CAP_448988af": {
   "en": "Pareto-Based Decision and Execution",
   "zh": "基于Pareto的决策与执行",
   "level": "l2"
  },
  "CAP_30928589": {
   "en": "Multi-Objective Problem Modeling",
   "zh": "多目标问题建模",
   "level": "l3"
  },
  "CAP_98842180": {
   "en": "Constrained Feasible Sampling",
   "zh": "约束可行采样",
   "level": "l3"
  },
  "CAP_c707dbfd": {
   "en": "Pareto Front Construction",
   "zh": "Pareto前沿构建",
   "level": "l3"
  },
  "CAP_2757e7b8": {
   "en": "Surrogate-Assisted Pareto Refinement",
   "zh": "代理辅助Pareto细化",
   "level": "l3"
  },
  "CAP_81d981a8": {
   "en": "Multi-Objective Decision Making",
   "zh": "多目标决策",
   "level": "l3"
  },
  "CAP_64ff5988": {
   "en": "Pareto-Based Trajectory Generation",
   "zh": "基于Pareto的轨迹生成",
   "level": "l3"
  },
  "CAP_fa0b8c6d": {
   "en": "Online Frontier Adaptation",
   "zh": "在线前沿自适应",
   "level": "l3"
  },
  "CAP_45107558": {
   "en": "Constrained RL Mobile Manipulation Policy Learning",
   "zh": "约束强化学习移动操作策略学习",
   "level": "l2"
  },
  "CAP_e69dda71": {
   "en": "Unified Mobile Manipulation Policy Network",
   "zh": "统一移动操作策略网络",
   "level": "l3"
  },
  "CAP_96d5a0b3": {
   "en": "Constrained Multimodal Environment Modeling",
   "zh": "约束多模态环境建模",
   "level": "l3"
  },
  "CAP_a759a896": {
   "en": "Multi-Objective Reward Shaping for Mobile Manipulation",
   "zh": "移动操作多目标奖励塑形",
   "level": "l3"
  },
  "CAP_beb75abd": {
   "en": "Sim-to-Real Transfer for Constrained RL",
   "zh": "约束强化学习仿真到现实迁移",
   "level": "l3"
  },
  "CAP_8b6f1e7e": {
   "en": "High-Level Semantic Understanding and Task Planning",
   "zh": "高层语义理解与任务规划",
   "level": "l2"
  },
  "CAP_b013e16d": {
   "en": "Subgoal Generation and Motion Planning",
   "zh": "子目标生成与运动规划",
   "level": "l2"
  },
  "CAP_b198bdd2": {
   "en": "Execution Monitoring and Closed-Loop Replanning",
   "zh": "执行监控与闭环重规划",
   "level": "l2"
  },
  "CAP_48cd81ec": {
   "en": "Semantic Scene Understanding and Goal Parsing",
   "zh": "场景语义理解与目标解析",
   "level": "l3"
  },
  "CAP_06ea4fc7": {
   "en": "Action Primitive to Geometric Subgoal Conversion",
   "zh": "动作原语到几何子目标转换",
   "level": "l3"
  },
  "CAP_f2147264": {
   "en": "Multi-Objective Motion Planning",
   "zh": "多目标运动规划",
   "level": "l3"
  },
  "CAP_381983a9": {
   "en": "Preference Data Acquisition and Aggregation",
   "zh": "偏好数据获取与聚合",
   "level": "l2"
  },
  "CAP_a52ebf6d": {
   "en": "Utility Learning and Weight Generation",
   "zh": "效用学习与权重生成",
   "level": "l2"
  },
  "CAP_8f9c303e": {
   "en": "Scalarization and Active Preference Integration",
   "zh": "标量化与主动偏好集成",
   "level": "l2"
  },
  "CAP_2b91c5b9": {
   "en": "Preference Elicitation from Trajectory Pairs",
   "zh": "从轨迹对中获取偏好",
   "level": "l3"
  },
  "CAP_3dd4be41": {
   "en": "Utility Learning with Bradley-Terry Model",
   "zh": "基于Bradley-Terry模型的效用学习",
   "level": "l3"
  },
  "CAP_13984a85": {
   "en": "Context-Aware Weight Generation",
   "zh": "上下文感知权重生成",
   "level": "l3"
  },
  "CAP_b732fffc": {
   "en": "Active Preference Query Selection",
   "zh": "主动偏好查询选择",
   "level": "l3"
  },
  "CAP_bfdd69d1": {
   "en": "Multi-User Preference Aggregation",
   "zh": "多用户偏好聚合",
   "level": "l3"
  },
  "CAP_6b974b0f": {
   "en": "Pareto Front Strategy Generation",
   "zh": "帕累托前沿策略生成",
   "level": "l2"
  },
  "CAP_b65e3772": {
   "en": "Pareto Front Sampling",
   "zh": "帕累托前沿采样",
   "level": "l3"
  },
  "CAP_1c4938c0": {
   "en": "Expert Behavior Distillation and Network Design",
   "zh": "专家行为蒸馏与条件网络设计",
   "level": "l2"
  },
  "CAP_b79ad389": {
   "en": "Expert Behavior Distillation",
   "zh": "专家行为蒸馏",
   "level": "l3"
  },
  "CAP_298873bd": {
   "en": "Continuous Pareto Interpolation",
   "zh": "连续帕累托插值",
   "level": "l3"
  },
  "CAP_f3a2eae3": {
   "en": "Preference Conditioned Inference Deployment",
   "zh": "偏好条件推理部署",
   "level": "l2"
  },
  "CAP_8c9be6d4": {
   "en": "Preference Conditioned Inference",
   "zh": "偏好条件推理",
   "level": "l3"
  },
  "CAP_062b79db": {
   "en": "Space Time Memory Processing",
   "zh": "时空记忆处理",
   "level": "l2"
  },
  "CAP_8ea7c151": {
   "en": "Multi Object STM Inference",
   "zh": "多目标时空记忆推理",
   "level": "l3"
  },
  "CAP_a13e834c": {
   "en": "Multi Object Memory Bank Management",
   "zh": "多目标记忆库管理",
   "level": "l3"
  },
  "CAP_0b9e94d6": {
   "en": "Multi Object STM Online Training",
   "zh": "多目标时空记忆在线训练",
   "level": "l3"
  },
  "CAP_0b483c46": {
   "en": "Interactive Multi-Object Initialization",
   "zh": "交互式多目标初始化",
   "level": "l2"
  },
  "CAP_c884969c": {
   "en": "Cross-Frame Propagation and Correction",
   "zh": "跨帧传播与交互修正",
   "level": "l3"
  },
  "CAP_dd19fc5a": {
   "en": "Interactive Prompt Parsing",
   "zh": "交互信号解析",
   "level": "l3"
  },
  "CAP_6faa4d90": {
   "en": "Open-World Multi-Object Segmentation",
   "zh": "开放世界多目标分割",
   "level": "l3"
  },
  "CAP_37fa7ce7": {
   "en": "Target Instance Initialization",
   "zh": "目标实例初始化",
   "level": "l3"
  },
  "CAP_daec7737": {
   "en": "Memory-Based Multi-Object Propagation",
   "zh": "基于记忆的多目标传播",
   "level": "l3"
  },
  "CAP_c90b729a": {
   "en": "Multi-Object Conflict Resolution",
   "zh": "多目标冲突消解",
   "level": "l3"
  },
  "CAP_89b84285": {
   "en": "Interactive Correction Loop",
   "zh": "交互式修正循环",
   "level": "l3"
  },
  "CAP_d202b779": {
   "en": "Multimodal Perception and Interaction",
   "zh": "多模态感知与交互准备",
   "level": "l2"
  },
  "CAP_091dabb2": {
   "en": "Interactive Multi-Object Prompting",
   "zh": "交互式多目标查询",
   "level": "l3"
  },
  "CAP_2596f48b": {
   "en": "Active Segmentation and Viewpoint Control",
   "zh": "主动分割与视角控制",
   "level": "l2"
  },
  "CAP_8d7a607d": {
   "en": "Real-Time Video Object Segmentation Engine",
   "zh": "实时视频多目标分割引擎",
   "level": "l3"
  },
  "CAP_68523250": {
   "en": "Geometry-Aware Multi-Object Tracking",
   "zh": "几何感知多目标追踪",
   "level": "l3"
  },
  "CAP_a8af0ace": {
   "en": "Task Scene Representation",
   "zh": "任务场景表示输出",
   "level": "l2"
  },
  "CAP_467eeff3": {
   "en": "Task-Oriented Scene Representation",
   "zh": "面向任务的场景表示",
   "level": "l3"
  },
  "CAP_31677e82": {
   "en": "Multi-person Pointing Perception",
   "zh": "多人指向感知",
   "level": "l2"
  },
  "CAP_4583c519": {
   "en": "Multi-person Pointing Fusion",
   "zh": "多人指向融合",
   "level": "l2"
  },
  "CAP_91a02aba": {
   "en": "Pointing Disambiguation Decision",
   "zh": "指向消歧决策",
   "level": "l2"
  },
  "CAP_4e961873": {
   "en": "Multi-person 3D Skeleton Tracking",
   "zh": "多人3D骨架跟踪",
   "level": "l3"
  },
  "CAP_f285bf60": {
   "en": "Pointing Ray Geometry Extraction",
   "zh": "指向射线几何提取",
   "level": "l3"
  },
  "CAP_1b8fd35b": {
   "en": "Scene Object 3D Detection",
   "zh": "场景物体3D检测",
   "level": "l3"
  },
  "CAP_3e0f8888": {
   "en": "Geometry Probabilistic Fusion Core",
   "zh": "几何-概率融合核心",
   "level": "l3"
  },
  "CAP_d78c2a48": {
   "en": "Disambiguation Decision Policy",
   "zh": "消歧决策策略",
   "level": "l3"
  },
  "CAP_ab74ee80": {
   "en": "End-to-End Social Cue Perception",
   "zh": "端到端社会线索感知",
   "level": "l2"
  },
  "CAP_add19f1c": {
   "en": "Multi-person Spatiotemporal Feature Extraction",
   "zh": "多人时空特征提取",
   "level": "l3"
  },
  "CAP_5c9262be": {
   "en": "Social Relation Graph Construction",
   "zh": "社会关系图构建",
   "level": "l3"
  },
  "CAP_9cb0d8fa": {
   "en": "Joint Pointing Intention Disambiguation",
   "zh": "联合指向意图消歧",
   "level": "l3"
  },
  "CAP_9aaca6a8": {
   "en": "Gaze-Pointing Fusion",
   "zh": "注视-指向融合",
   "level": "l3"
  },
  "CAP_65e33b54": {
   "en": "Active Clarification Trigger",
   "zh": "主动澄清触发",
   "level": "l3"
  },
  "CAP_62eeead1": {
   "en": "Multi-modal Scene Semantic Perception",
   "zh": "多模态场景语义感知",
   "level": "l2"
  },
  "CAP_5c3aab64": {
   "en": "Semantic-Spatial Alignment and Disambiguation",
   "zh": "语义-空间对齐与消歧",
   "level": "l2"
  },
  "CAP_56fa775f": {
   "en": "VLM Scene Semantic Encoding",
   "zh": "VLM场景语义编码",
   "level": "l3"
  },
  "CAP_ac24beb1": {
   "en": "Pointing Gesture Semantic Parsing",
   "zh": "指向手势语义解析",
   "level": "l3"
  },
  "CAP_6c9895dd": {
   "en": "Self Other Pointing Discrimination",
   "zh": "自指/他指区分",
   "level": "l3"
  },
  "CAP_6ff08e20": {
   "en": "Semantic Spatial Alignment",
   "zh": "语义-空间对齐",
   "level": "l3"
  },
  "CAP_5ec449f5": {
   "en": "Temporal Disambiguation Reasoning",
   "zh": "时序消歧推理",
   "level": "l3"
  },
  "CAP_8357702e": {
   "en": "Human Detection and Refinement Stage",
   "zh": "人体检测与框精炼阶段",
   "level": "l3"
  },
  "CAP_583b506f": {
   "en": "Single Person Pose Estimation and Merge Stage",
   "zh": "单人姿态估计与合并阶段",
   "level": "l2"
  },
  "CAP_148c7556": {
   "en": "Image Preprocessing for Top-down Pose",
   "zh": "图像预处理（自顶向下姿态估计）",
   "level": "l3"
  },
  "CAP_4a52e81d": {
   "en": "Human Detection for Pose",
   "zh": "人体检测（面向姿态估计）",
   "level": "l3"
  },
  "CAP_67d64ab4": {
   "en": "Empty Result Output",
   "zh": "空结果输出",
   "level": "l3"
  },
  "CAP_52ea0eca": {
   "en": "Person Crop and Align",
   "zh": "单人区域裁剪与对齐",
   "level": "l3"
  },
  "CAP_4047e8fe": {
   "en": "Single Person Pose Estimation",
   "zh": "单人姿态估计",
   "level": "l3"
  },
  "CAP_bd56dc8a": {
   "en": "Coordinate Transform and Merge",
   "zh": "坐标反变换与合并",
   "level": "l3"
  },
  "CAP_19b5b37d": {
   "en": "Dual-branch Keypoint and Association Field Prediction",
   "zh": "双分支关键点与关联场预测",
   "level": "l2"
  },
  "CAP_6984225b": {
   "en": "Keypoint Grouping and Skeleton Assembly",
   "zh": "关键点分组与骨架组装",
   "level": "l2"
  },
  "CAP_e1b222e9": {
   "en": "Post-processing and Filtering",
   "zh": "后处理与过滤",
   "level": "l2"
  },
  "CAP_e6fd63ea": {
   "en": "Keypoint Heatmap Prediction",
   "zh": "关键点热图预测",
   "level": "l3"
  },
  "CAP_fa28bda9": {
   "en": "Multi-stage Iterative Refinement",
   "zh": "多阶段迭代精炼",
   "level": "l3"
  },
  "CAP_78522e14": {
   "en": "PAF-based Limb Association",
   "zh": "基于PAF的肢干关联",
   "level": "l3"
  },
  "CAP_336f565e": {
   "en": "Greedy Bipartite Keypoint Matching",
   "zh": "贪心二分图关键点匹配",
   "level": "l3"
  },
  "CAP_22fa25a1": {
   "en": "Multi-Person Skeleton Assembly",
   "zh": "多人骨架组装",
   "level": "l3"
  },
  "CAP_d3295952": {
   "en": "Pose Filtering and Validation",
   "zh": "姿态过滤与验证",
   "level": "l3"
  },
  "CAP_0ff49d5b": {
   "en": "Scale-adaptive Keypoint Grouping",
   "zh": "尺度自适应关键点分组",
   "level": "l3"
  },
  "CAP_c843b46a": {
   "en": "Joint PIF-PAF Decoding",
   "zh": "联合PIF-PAF解码",
   "level": "l3"
  },
  "CAP_00342b45": {
   "en": "End-to-End Sparse Pose Prediction",
   "zh": "端到端稀疏姿态预测",
   "level": "l3"
  },
  "CAP_6e015185": {
   "en": "Positional Encoding and Flattening",
   "zh": "位置编码与特征展平",
   "level": "l3"
  },
  "CAP_773e367e": {
   "en": "Multi-scale Deformable Attention for Pose",
   "zh": "多尺度可变形注意力姿态聚合",
   "level": "l3"
  },
  "CAP_8931adaf": {
   "en": "Keypoint Prior Injection",
   "zh": "关键点先验注入",
   "level": "l3"
  },
  "CAP_9b3f28fd": {
   "en": "Sparse Query Initialization",
   "zh": "稀疏查询初始化",
   "level": "l3"
  },
  "CAP_3cf31936": {
   "en": "Sparse Query-based Decoding",
   "zh": "稀疏查询解码",
   "level": "l3"
  },
  "CAP_66117e07": {
   "en": "Keypoint Coordinate Prediction Head",
   "zh": "关键点坐标预测头",
   "level": "l3"
  },
  "CAP_1303c38f": {
   "en": "Bipartite Matching for Pose Set",
   "zh": "姿态集合二分匹配",
   "level": "l3"
  },
  "CAP_fb493c64": {
   "en": "Confidence Threshold Filtering",
   "zh": "置信度阈值过滤",
   "level": "l3"
  },
  "CAP_215f77a2": {
   "en": "Cloth Perception and Keypoint Detection",
   "zh": "布料感知与关键点检测",
   "level": "l2"
  },
  "CAP_30840a09": {
   "en": "Dual Arm Grasp and Motion Planning",
   "zh": "双臂抓取与运动规划",
   "level": "l2"
  },
  "CAP_a9f5fb22": {
   "en": "Visual Servoing and Flattening Control",
   "zh": "视觉伺服与铺平控制",
   "level": "l2"
  },
  "CAP_2b110bf1": {
   "en": "Cloth Keypoint Detection 3D",
   "zh": "布料 3D 关键点检测",
   "level": "l3"
  },
  "CAP_86a6a9c4": {
   "en": "Dual Arm Grasp Point Selection",
   "zh": "双臂抓取点选择",
   "level": "l3"
  },
  "CAP_9a473982": {
   "en": "Dual Arm Trajectory Planning",
   "zh": "双臂协同轨迹规划",
   "level": "l3"
  },
  "CAP_dae6a94e": {
   "en": "Visual Servoing Dual Arm Flattening",
   "zh": "双臂视觉伺服铺平",
   "level": "l3"
  },
  "CAP_08710338": {
   "en": "Cloth Tension Estimation",
   "zh": "布料张力估计",
   "level": "l3"
  },
  "CAP_9a94363a": {
   "en": "Flattening Completion Detection",
   "zh": "铺平完成判定",
   "level": "l3"
  },
  "CAP_43901914": {
   "en": "Cloth Perception and Task Definition",
   "zh": "布料感知与任务定义",
   "level": "l2"
  },
  "CAP_0f7c153f": {
   "en": "GNN Dynamics and MPC Planning",
   "zh": "GNN动力学与MPC规划",
   "level": "l2"
  },
  "CAP_b137c6ef": {
   "en": "Multi-Arm Execution and State Feedback",
   "zh": "多臂执行与状态反馈",
   "level": "l2"
  },
  "CAP_b338a259": {
   "en": "Cloth to Graph Mapping",
   "zh": "布料到图映射",
   "level": "l3"
  },
  "CAP_6e72ab42": {
   "en": "Target Graph Definition",
   "zh": "目标图定义",
   "level": "l3"
  },
  "CAP_120ad53a": {
   "en": "GNN Dynamics Rollout",
   "zh": "GNN动力学推演",
   "level": "l3"
  },
  "CAP_cd73aa17": {
   "en": "MPC Folding Optimizer",
   "zh": "MPC折叠优化器",
   "level": "l3"
  },
  "CAP_319df6cf": {
   "en": "Multi-Arm Impedance Control",
   "zh": "多臂阻抗控制",
   "level": "l3"
  },
  "CAP_d76c90de": {
   "en": "State Feedback and Model Adaptation",
   "zh": "状态反馈与模型自适应",
   "level": "l3"
  },
  "CAP_25b6c222": {
   "en": "Cloth Perception and Goal Encoding",
   "zh": "布料感知与目标构型编码",
   "level": "l2"
  },
  "CAP_0b34ff9f": {
   "en": "Cloth State and Goal Encoding",
   "zh": "布料状态与目标构型编码",
   "level": "l3"
  },
  "CAP_0ae15b65": {
   "en": "Goal Conditioned Diffusion Action Generation",
   "zh": "目标条件扩散动作生成",
   "level": "l3"
  },
  "CAP_55b803b0": {
   "en": "Force-Constrained Diffusion Training",
   "zh": "力约束扩散训练",
   "level": "l3"
  },
  "CAP_9ae5f22f": {
   "en": "Multi-Arm Execution and Closed-Loop Replanning",
   "zh": "多臂执行与闭环重规划",
   "level": "l2"
  },
  "CAP_8b7fd0a5": {
   "en": "Multi-Arm Coordinated Trajectory Execution",
   "zh": "多臂协同轨迹执行",
   "level": "l3"
  },
  "CAP_d7bc6e55": {
   "en": "Closed-Loop Diffusion Replanning",
   "zh": "闭环扩散重规划",
   "level": "l3"
  },
  "CAP_5babc311": {
   "en": "Global Coarse Matching",
   "zh": "全局粗匹配",
   "level": "l2"
  },
  "CAP_e94e8c2e": {
   "en": "Multi-Resolution Local Refinement",
   "zh": "多分辨率局部优化",
   "level": "l2"
  },
  "CAP_a0e15ea5": {
   "en": "Tactile Fine Matching",
   "zh": "触觉精细匹配",
   "level": "l2"
  },
  "CAP_d016d6f0": {
   "en": "Multimodal Consistency Verification",
   "zh": "多模态一致性验证",
   "level": "l2"
  },
  "CAP_63db5d61": {
   "en": "Coarse Global PPF Match",
   "zh": "全局PPF粗匹配",
   "level": "l3"
  },
  "CAP_0d59d7a9": {
   "en": "Multi Resolution Point To Plane ICP",
   "zh": "多分辨率点到平面ICP",
   "level": "l3"
  },
  "CAP_caebd277": {
   "en": "Tactile Normal ICP",
   "zh": "触觉法向量ICP",
   "level": "l3"
  },
  "CAP_4763c2f7": {
   "en": "Adaptive Sliding Exploration",
   "zh": "自适应滑动探索",
   "level": "l3"
  },
  "CAP_261671b4": {
   "en": "Multi Modal Consistency Check",
   "zh": "多模态一致性检查",
   "level": "l3"
  },
  "CAP_1c07e192": {
   "en": "Multi-Scale Feature Extraction and Caching Stage",
   "zh": "多尺度特征提取与缓存阶段",
   "level": "l2"
  },
  "CAP_1195f698": {
   "en": "Coarse Global Attention Matching Stage",
   "zh": "粗粒度全局注意力匹配阶段",
   "level": "l2"
  },
  "CAP_cb003fe9": {
   "en": "Hierarchical Cross-Attention Refinement Stage",
   "zh": "层次化交叉注意力优化阶段",
   "level": "l2"
  },
  "CAP_3747e675": {
   "en": "Pose Regression and Confidence Assessment Stage",
   "zh": "位姿回归与置信度评估阶段",
   "level": "l2"
  },
  "CAP_b5cc0d26": {
   "en": "Coarse Global Attention Matching",
   "zh": "粗粒度全局注意力匹配",
   "level": "l3"
  },
  "CAP_d247505d": {
   "en": "Hierarchical Cross-Attention Refinement",
   "zh": "层次化交叉注意力优化",
   "level": "l3"
  },
  "CAP_95173c0c": {
   "en": "Transformer Pose Regression",
   "zh": "Transformer位姿回归",
   "level": "l3"
  },
  "CAP_398e3618": {
   "en": "Multi-Resolution Map Cache",
   "zh": "多分辨率地图缓存",
   "level": "l3"
  },
  "CAP_8c86e779": {
   "en": "Geometric Feasibility Checking",
   "zh": "几何可行性检查",
   "level": "l3"
  },
  "CAP_bc904e7a": {
   "en": "Local Motion Refinement",
   "zh": "局部运动精化",
   "level": "l3"
  },
  "CAP_18419f1b": {
   "en": "Execution Monitoring and Control",
   "zh": "执行与监控",
   "level": "l2"
  },
  "CAP_3643628b": {
   "en": "Multi-resolution Replanning Coordination",
   "zh": "多分辨率重规划协调",
   "level": "l2"
  },
  "CAP_a4f3fe9d": {
   "en": "Cross-level Failure Classification",
   "zh": "跨层失败分类",
   "level": "l3"
  },
  "CAP_962c0bf6": {
   "en": "Multi-resolution Replanning Coordinator",
   "zh": "多分辨率重规划协调器",
   "level": "l3"
  },
  "CAP_0e0edbcf": {
   "en": "LLM-driven Zero-shot Multi-resolution Planning",
   "zh": "大模型驱动零样本多分辨率规划",
   "level": "l2"
  },
  "CAP_c5bca65e": {
   "en": "LLM Adaptive Abstraction Leveling",
   "zh": "LLM自适应抽象层次",
   "level": "l3"
  },
  "CAP_26d59f27": {
   "en": "Multi-modal Trajectory Preprocessing",
   "zh": "多模态轨迹预处理",
   "level": "l2"
  },
  "CAP_a06c9679": {
   "en": "Multi-Reward Feature Engineering",
   "zh": "多奖励特征工程",
   "level": "l2"
  },
  "CAP_bd6b9226": {
   "en": "Maximum Entropy Multi-Reward Inverse Learning",
   "zh": "最大熵多奖励逆学习",
   "level": "l2"
  },
  "CAP_6cef1a6f": {
   "en": "Multi-Objective Policy Distillation",
   "zh": "多目标策略蒸馏",
   "level": "l2"
  },
  "CAP_d018cdd0": {
   "en": "Reward Decoupling and Behavior Analysis",
   "zh": "奖励解耦与行为分析",
   "level": "l2"
  },
  "CAP_23b3c118": {
   "en": "Multi-modal Trajectory Segmentation",
   "zh": "多模态轨迹分割",
   "level": "l3"
  },
  "CAP_e1a3edbc": {
   "en": "Composite Reward Feature Constructor",
   "zh": "复合奖励特征构造器",
   "level": "l3"
  },
  "CAP_0855e7ed": {
   "en": "MaxEnt Multi-Reward Inference",
   "zh": "最大熵多奖励推断",
   "level": "l3"
  },
  "CAP_ab7ddc49": {
   "en": "Reward Weight Sensitivity Analyzer",
   "zh": "奖励权重敏感性分析器",
   "level": "l3"
  },
  "CAP_de9507c6": {
   "en": "Variational Reward Inference",
   "zh": "变分奖励推断",
   "level": "l2"
  },
  "CAP_f69ba95f": {
   "en": "Multi-Reward Decomposition and Policy Learning",
   "zh": "多奖励分解与策略学习",
   "level": "l2"
  },
  "CAP_0049a681": {
   "en": "Trajectory Latent Encoding",
   "zh": "轨迹潜在编码",
   "level": "l3"
  },
  "CAP_e8759461": {
   "en": "Latent Reward Decoding",
   "zh": "潜在奖励解码",
   "level": "l3"
  },
  "CAP_d88e0a45": {
   "en": "ELBO MaxEnt Optimization",
   "zh": "结合最大熵的ELBO优化",
   "level": "l3"
  },
  "CAP_2fc49be1": {
   "en": "Latent Space Clustering",
   "zh": "潜在空间聚类",
   "level": "l3"
  },
  "CAP_7c1c297d": {
   "en": "Multi-Reward Policy Learning",
   "zh": "多奖励策略学习",
   "level": "l3"
  },
  "CAP_ee51b133": {
   "en": "Preference-based Reward Decomposition Umbrella",
   "zh": "基于偏好反馈的奖励解耦伞形能力",
   "level": "l2"
  },
  "CAP_fb350fd2": {
   "en": "Preference-based Reward Decomposition",
   "zh": "基于偏好反馈的奖励解耦",
   "level": "l3"
  },
  "CAP_47bc7b18": {
   "en": "Reward Decomposition Regularization",
   "zh": "奖励解耦正则化",
   "level": "l3"
  },
  "CAP_2f7267e7": {
   "en": "Preference Aggregation Multitask",
   "zh": "多任务偏好聚合",
   "level": "l3"
  },
  "CAP_75e4f63b": {
   "en": "MaxEnt Multi-Objective Policy Distillation",
   "zh": "最大熵多目标策略蒸馏",
   "level": "l3"
  },
  "CAP_382e6370": {
   "en": "Distributed Auction-based Exploration",
   "zh": "分布式拍卖探索",
   "level": "l2"
  },
  "CAP_f0126fbd": {
   "en": "Frontier Detection Occupancy Grid",
   "zh": "占据栅格边界检测",
   "level": "l3"
  },
  "CAP_7d9588a0": {
   "en": "Navigation Cost Aware Bidding",
   "zh": "导航成本感知出价",
   "level": "l3"
  },
  "CAP_018bd7a4": {
   "en": "Distributed Frontier Consensus",
   "zh": "分布式边界一致性",
   "level": "l3"
  },
  "CAP_3a89e906": {
   "en": "DRL-based Collaborative Exploration",
   "zh": "基于深度强化学习的协同探索",
   "level": "l2"
  },
  "CAP_4cc54d37": {
   "en": "Environment Interaction and Data Collection",
   "zh": "环境交互与数据收集",
   "level": "l3"
  },
  "CAP_8793d2bd": {
   "en": "Graph Neural Network Coordination",
   "zh": "图神经网络协同",
   "level": "l3"
  },
  "CAP_c504468b": {
   "en": "Decentralized Communication Protocol Learning",
   "zh": "去中心化通信协议学习",
   "level": "l3"
  },
  "CAP_310edf26": {
   "en": "DRL Collaborative Policy Learning",
   "zh": "深度强化学习协同策略学习",
   "level": "l3"
  },
  "CAP_78281420": {
   "en": "Reward Calculation",
   "zh": "奖励计算",
   "level": "l3"
  },
  "CAP_b9642a92": {
   "en": "Sim-to-Real Transfer for Exploration",
   "zh": "探索策略的仿真到真实迁移",
   "level": "l3"
  },
  "CAP_a0f7a28c": {
   "en": "Semantic Uncertainty Estimation",
   "zh": "语义不确定性估计",
   "level": "l3"
  },
  "CAP_7c7bc7c7": {
   "en": "Multi-Agent Semantic Map Fusion",
   "zh": "多智能体语义地图融合",
   "level": "l2"
  },
  "CAP_c67640b1": {
   "en": "Semantic Information Gain Evaluation",
   "zh": "语义信息增益评估",
   "level": "l2"
  },
  "CAP_4d8f2b17": {
   "en": "Semantic Information Gain Computation",
   "zh": "语义信息增益计算",
   "level": "l3"
  },
  "CAP_1f15b475": {
   "en": "Semantic Multi-Robot Task Allocation",
   "zh": "语义多机器人任务分配",
   "level": "l2"
  },
  "CAP_f0167f63": {
   "en": "Semantic Task Allocation",
   "zh": "语义任务分配",
   "level": "l3"
  },
  "CAP_92d9c676": {
   "en": "Active Scene Reconstruction",
   "zh": "主动场景重建",
   "level": "l2"
  },
  "CAP_7081520a": {
   "en": "Active Object View Planning",
   "zh": "主动对象视点规划",
   "level": "l3"
  },
  "CAP_ed0c277f": {
   "en": "Global Map and Task Management",
   "zh": "全局地图与任务管理",
   "level": "l2"
  },
  "CAP_e68cb87d": {
   "en": "Initial Planning and Conflict Detection",
   "zh": "初始规划与冲突检测",
   "level": "l2"
  },
  "CAP_c1c58e60": {
   "en": "MAPF Solving and Execution Monitoring",
   "zh": "MAPF求解与执行监控",
   "level": "l2"
  },
  "CAP_ca0f24bd": {
   "en": "Task Priority Scheduling",
   "zh": "任务优先级调度",
   "level": "l3"
  },
  "CAP_ac52554f": {
   "en": "Spatial-Temporal Conflict Detection",
   "zh": "时空冲突检测",
   "level": "l3"
  },
  "CAP_c9ebc8b4": {
   "en": "CBS MAPF Solver",
   "zh": "CBS MAPF求解器",
   "level": "l3"
  },
  "CAP_3952d582": {
   "en": "Formation Coordination",
   "zh": "编队协调",
   "level": "l2"
  },
  "CAP_39e0695d": {
   "en": "Collaborative Perception",
   "zh": "协同感知",
   "level": "l2"
  },
  "CAP_b6437b30": {
   "en": "Distributed Model Predictive Control",
   "zh": "分布式模型预测控制",
   "level": "l2"
  },
  "CAP_5a4ce81f": {
   "en": "Safety and Execution Monitoring",
   "zh": "安全与执行监控",
   "level": "l2"
  },
  "CAP_4bf37b2b": {
   "en": "Formation Manager",
   "zh": "编队管理器",
   "level": "l3"
  },
  "CAP_7229594b": {
   "en": "Distributed State Estimator",
   "zh": "分布式状态估计器",
   "level": "l3"
  },
  "CAP_e5a0417f": {
   "en": "Distributed MPC Solver",
   "zh": "分布式MPC求解器",
   "level": "l3"
  },
  "CAP_24c76e30": {
   "en": "Command Dispatcher",
   "zh": "指令分发器",
   "level": "l3"
  },
  "CAP_7e1c56a9": {
   "en": "Edge Safety Monitor",
   "zh": "边缘安全监控器",
   "level": "l3"
  },
  "CAP_761a453b": {
   "en": "Semantic Digital Twin Pipeline",
   "zh": "语义数字孪生流水线",
   "level": "l2"
  },
  "CAP_11a56e3a": {
   "en": "Cross-embodiment Skill Transfer Pipeline",
   "zh": "跨实体技能迁移流水线",
   "level": "l2"
  },
  "CAP_30d43d39": {
   "en": "Multi-source Perception Data Alignment",
   "zh": "多源感知数据对齐",
   "level": "l3"
  },
  "CAP_0fe661f4": {
   "en": "Semantic Map Fusion",
   "zh": "语义地图融合",
   "level": "l3"
  },
  "CAP_b13d1383": {
   "en": "Instance-level Object Tracking",
   "zh": "实例级对象跟踪",
   "level": "l3"
  },
  "CAP_de87866f": {
   "en": "Semantic Query Service",
   "zh": "语义查询服务",
   "level": "l3"
  },
  "CAP_5eff424d": {
   "en": "Cross-embodiment Skill Transfer",
   "zh": "跨实体技能迁移",
   "level": "l3"
  },
  "CAP_e0cdaa91": {
   "en": "Skill Verification Sim Loop",
   "zh": "技能仿真验证回路",
   "level": "l3"
  },
  "CAP_61bbc061": {
   "en": "Static Geometric Partitioning",
   "zh": "静态几何分割",
   "level": "l2"
  },
  "CAP_bdb16b52": {
   "en": "Task Allocation and Coverage Path Planning",
   "zh": "任务分配与覆盖路径规划",
   "level": "l2"
  },
  "CAP_bd484089": {
   "en": "Path Postprocessing and Export",
   "zh": "路径后处理与导出",
   "level": "l2"
  },
  "CAP_18a9c929": {
   "en": "Voronoi Area Partition",
   "zh": "Voronoi区域分割",
   "level": "l3"
  },
  "CAP_cd4f0927": {
   "en": "Boustrophedon Cell Decomposition",
   "zh": "牛耕式单元分解",
   "level": "l3"
  },
  "CAP_1b915038": {
   "en": "Stripe Partitioning",
   "zh": "条带分割",
   "level": "l3"
  },
  "CAP_43c986f0": {
   "en": "Hungarian Task Assignment",
   "zh": "匈牙利任务分配",
   "level": "l3"
  },
  "CAP_d5fd262e": {
   "en": "Boustrophedon Path Generator",
   "zh": "牛耕式路径生成器",
   "level": "l3"
  },
  "CAP_e0e239b3": {
   "en": "Path Export",
   "zh": "路径导出",
   "level": "l3"
  },
  "CAP_c8a1e449": {
   "en": "Market Task Preparation",
   "zh": "市场任务准备",
   "level": "l2"
  },
  "CAP_9abaa52c": {
   "en": "Market Bidding and Decision",
   "zh": "市场出价与决策",
   "level": "l2"
  },
  "CAP_f649aab6": {
   "en": "Market Execution and Monitoring",
   "zh": "市场执行与监测",
   "level": "l2"
  },
  "CAP_efff5062": {
   "en": "Market Task Decomposition",
   "zh": "市场任务分解",
   "level": "l3"
  },
  "CAP_5e15e358": {
   "en": "Market Cost Estimation",
   "zh": "市场成本估计",
   "level": "l3"
  },
  "CAP_69c34cb0": {
   "en": "Market Bidding Strategy",
   "zh": "市场出价策略",
   "level": "l3"
  },
  "CAP_f3e627b2": {
   "en": "Market Winner Determination",
   "zh": "市场赢家确定",
   "level": "l3"
  },
  "CAP_f9776552": {
   "en": "Market Dynamic Reallocation",
   "zh": "市场动态重分配",
   "level": "l3"
  },
  "CAP_d66018f4": {
   "en": "MARL-based Adaptive Coverage Allocation",
   "zh": "基于多智能体强化学习的自适应覆盖分配",
   "level": "l2"
  },
  "CAP_bf75c773": {
   "en": "MARL Coverage Environment Modeling",
   "zh": "MARL覆盖环境建模",
   "level": "l3"
  },
  "CAP_3afa0394": {
   "en": "QMIX Coverage Trainer",
   "zh": "QMIX覆盖训练器",
   "level": "l3"
  },
  "CAP_6bc3f2be": {
   "en": "MADDPG Continuous Coverage",
   "zh": "MADDPG连续覆盖",
   "level": "l3"
  },
  "CAP_df105571": {
   "en": "Graph Communication Coverage",
   "zh": "图通信覆盖",
   "level": "l3"
  },
  "CAP_5a2478d6": {
   "en": "Reward Shaping and Curriculum Learning",
   "zh": "奖励塑形与课程学习",
   "level": "l3"
  },
  "CAP_e4517b64": {
   "en": "Sim-to-Real Coverage Transfer",
   "zh": "仿真到真实覆盖迁移",
   "level": "l3"
  },
  "CAP_ce0d1840": {
   "en": "Log Generation and Preprocessing",
   "zh": "日志生成与预处理伞形能力",
   "level": "l2"
  },
  "CAP_1827633d": {
   "en": "Structured Event Logging and Signing",
   "zh": "结构化日志生成与签名",
   "level": "l3"
  },
  "CAP_f297cd39": {
   "en": "Off-chain Aggregation and Batching",
   "zh": "链下聚合与批处理伞形能力",
   "level": "l2"
  },
  "CAP_7c679df2": {
   "en": "Merkle Batch Aggregation",
   "zh": "Merkle批次聚合",
   "level": "l3"
  },
  "CAP_11b5d850": {
   "en": "Cross Linked Event Verification",
   "zh": "交叉关联事件验证",
   "level": "l3"
  },
  "CAP_b3b2648d": {
   "en": "Consensus and On-chain Anchoring",
   "zh": "共识与链上锚定伞形能力",
   "level": "l2"
  },
  "CAP_7fab3ece": {
   "en": "Immutable Log Anchoring",
   "zh": "不可篡改日志锚定",
   "level": "l3"
  },
  "CAP_69cb0358": {
   "en": "Off-chain Storage and Indexing",
   "zh": "链下存储与索引伞形能力",
   "level": "l2"
  },
  "CAP_83237842": {
   "en": "Content Addressed Off-chain Log Storage",
   "zh": "内容寻址链下日志存储",
   "level": "l3"
  },
  "CAP_d3502341": {
   "en": "Audit and Integrity Verification",
   "zh": "审计与完整性验证伞形能力",
   "level": "l2"
  },
  "CAP_3a6f8fcf": {
   "en": "Decentralized Log Audit Trail",
   "zh": "去中心化日志审计追踪",
   "level": "l3"
  },
  "CAP_a734629c": {
   "en": "Physical Layer Channel Probing and Preprocessing",
   "zh": "物理层信道探测与预处理",
   "level": "l2"
  },
  "CAP_4d592e02": {
   "en": "Physical Layer CSI Channel Probing",
   "zh": "物理层CSI信道探测",
   "level": "l3"
  },
  "CAP_ffcfa288": {
   "en": "CSI Preprocessing for Physical Layer Key Generation",
   "zh": "物理层密钥生成CSI预处理",
   "level": "l3"
  },
  "CAP_0ba91f0f": {
   "en": "Physical Layer Feature Extraction and Adaptive Quantization",
   "zh": "物理层特征提取与自适应量化",
   "level": "l2"
  },
  "CAP_c3f9eb74": {
   "en": "CSI Feature Extraction for Physical Layer Key Generation",
   "zh": "物理层密钥生成CSI特征提取",
   "level": "l3"
  },
  "CAP_84887c0f": {
   "en": "Adaptive Quantization for Physical Layer Key Generation",
   "zh": "物理层密钥生成自适应量化",
   "level": "l3"
  },
  "CAP_029a2c12": {
   "en": "Physical Layer Information Reconciliation and Privacy Amplification",
   "zh": "物理层信息调和与隐私放大",
   "level": "l2"
  },
  "CAP_a2754f35": {
   "en": "Cascade Information Reconciliation for Physical Layer Key Generation",
   "zh": "物理层密钥生成Cascade信息调和",
   "level": "l3"
  },
  "CAP_3febe48c": {
   "en": "Toeplitz Privacy Amplification for Physical Layer Key Generation",
   "zh": "物理层密钥生成Toeplitz隐私放大",
   "level": "l3"
  },
  "CAP_b2245008": {
   "en": "Key Confirmation and Injection",
   "zh": "密钥确认与注入",
   "level": "l2"
  },
  "CAP_ed615920": {
   "en": "HMAC Key Confirmation for Physical Layer Key Generation",
   "zh": "物理层密钥生成HMAC密钥确认",
   "level": "l3"
  },
  "CAP_799e5861": {
   "en": "Physical Layer Group Key Generation for Multi-Robot Systems",
   "zh": "多机器人系统物理层群组密钥生成",
   "level": "l3"
  },
  "CAP_6669139b": {
   "en": "Task Context and Channel Perception",
   "zh": "任务语义与信道感知",
   "level": "l2"
  },
  "CAP_cea4fbc8": {
   "en": "Crypto Policy Decision and Context Switching",
   "zh": "加密策略决策与上下文切换",
   "level": "l2"
  },
  "CAP_b68c66cc": {
   "en": "Adaptive Monitoring and Feedback Control",
   "zh": "自适应监控与反馈控制",
   "level": "l2"
  },
  "CAP_05dbaf56": {
   "en": "Task Semantic Sensitivity Mapping",
   "zh": "任务语义敏感度映射",
   "level": "l3"
  },
  "CAP_b53cf8f0": {
   "en": "Context and Channel Quality Evaluation",
   "zh": "环境与信道质量评估",
   "level": "l3"
  },
  "CAP_8f28dc7e": {
   "en": "Channel-Aware Crypto Suite Selection",
   "zh": "信道感知加密套件选择",
   "level": "l3"
  },
  "CAP_9d88956e": {
   "en": "Graceful Crypto Context Switch",
   "zh": "优雅加密上下文切换",
   "level": "l3"
  },
  "CAP_474b220b": {
   "en": "Lightweight Proxy Re-encryption",
   "zh": "轻量级代理重加密",
   "level": "l3"
  },
  "CAP_b22be1ee": {
   "en": "Adaptive Monitor with Hysteresis",
   "zh": "滞回自适应监控",
   "level": "l3"
  },
  "CAP_ea33b80a": {
   "en": "Market-based Exploration Coordination",
   "zh": "基于市场的探索协调",
   "level": "l2"
  },
  "CAP_cb8685f2": {
   "en": "Utility Bidding",
   "zh": "效用投标",
   "level": "l3"
  },
  "CAP_d11733ec": {
   "en": "Distributed Winner Determination",
   "zh": "分布式赢家决定",
   "level": "l3"
  },
  "CAP_413f61fd": {
   "en": "Opportunistic Reallocation",
   "zh": "机会主义重分配",
   "level": "l3"
  },
  "CAP_065d09f9": {
   "en": "Exploration Navigation Execution",
   "zh": "探索导航执行",
   "level": "l3"
  },
  "CAP_dddcb090": {
   "en": "Topological Semantic Hierarchical Exploration",
   "zh": "拓扑语义分层探索",
   "level": "l3"
  },
  "CAP_4b903eac": {
   "en": "Semantic Region Classification",
   "zh": "语义区域分类",
   "level": "l3"
  },
  "CAP_9cd48ad1": {
   "en": "Topological Semantic Fusion",
   "zh": "拓扑语义融合",
   "level": "l3"
  },
  "CAP_fe5dbf0e": {
   "en": "Multi-robot Conflict Resolution",
   "zh": "多机器人冲突协调",
   "level": "l3"
  },
  "CAP_5f0d7951": {
   "en": "Policy Decoding",
   "zh": "策略解码",
   "level": "l2"
  },
  "CAP_74f2d011": {
   "en": "Distributed Execution",
   "zh": "分布式执行",
   "level": "l2"
  },
  "CAP_885601c3": {
   "en": "GAT-based Spatial Reasoning",
   "zh": "基于图注意力的空间推理",
   "level": "l3"
  },
  "CAP_215e0368": {
   "en": "Implicit Coordination Policy",
   "zh": "隐式协调策略",
   "level": "l3"
  },
  "CAP_d372d600": {
   "en": "CTDE Trainer for Exploration",
   "zh": "面向探索的CTDE训练器",
   "level": "l3"
  },
  "CAP_20a43571": {
   "en": "Decentralized Graph Inference",
   "zh": "去中心化图推理",
   "level": "l3"
  },
  "CAP_1fc3a341": {
   "en": "Centralized Multi-Robot Grasp Planning",
   "zh": "集中式多机器人抓取规划",
   "level": "l2"
  },
  "CAP_071a9b52": {
   "en": "Multi-Robot Grasp Allocation",
   "zh": "多机器人抓取点分配",
   "level": "l3"
  },
  "CAP_76374884": {
   "en": "Decoupled Multi-Arm Motion Planning",
   "zh": "解耦多臂运动规划",
   "level": "l3"
  },
  "CAP_06a3fd58": {
   "en": "Prioritized Trajectory Coordination",
   "zh": "优先级轨迹协调",
   "level": "l3"
  },
  "CAP_a852df66": {
   "en": "Grasp Quality Evaluation",
   "zh": "抓取质量评估",
   "level": "l3"
  },
  "CAP_ca0f1600": {
   "en": "Distributed RL Multi-Robot Grasp Training",
   "zh": "分布式强化学习多机器人抓取训练",
   "level": "l2"
  },
  "CAP_90ca16fd": {
   "en": "Multi-Agent Grasp Env Simulation",
   "zh": "多智能体抓取仿真环境构建",
   "level": "l3"
  },
  "CAP_68ef1945": {
   "en": "CTDE Value Decomposition",
   "zh": "CTDE价值分解",
   "level": "l3"
  },
  "CAP_6c5bf32c": {
   "en": "Attention-Based Grasp Coordination",
   "zh": "基于注意力的抓取协调",
   "level": "l3"
  },
  "CAP_28fa63a5": {
   "en": "Domain Randomization for Grasping",
   "zh": "面向抓取的域随机化",
   "level": "l3"
  },
  "CAP_47e8af3c": {
   "en": "LLM Semantic Grasp Task Planning",
   "zh": "大模型语义抓取任务规划",
   "level": "l2"
  },
  "CAP_f2c2c0b7": {
   "en": "Spatial Semantic Grounding",
   "zh": "空间语义锚定",
   "level": "l3"
  },
  "CAP_0fb94e66": {
   "en": "Multi-Agent Role Grasp Allocation",
   "zh": "多机器人角色抓取区域分配",
   "level": "l3"
  },
  "CAP_57c4be4b": {
   "en": "Semantic Grasp Specification Generation",
   "zh": "语义抓取规范生成",
   "level": "l3"
  },
  "CAP_65d8365c": {
   "en": "Pipeline Scheduling Model Construction",
   "zh": "流水线调度建模与分解",
   "level": "l2"
  },
  "CAP_2915066f": {
   "en": "Exact Scheduling Solver",
   "zh": "精确调度求解",
   "level": "l2"
  },
  "CAP_c8bf6efc": {
   "en": "Schedule Decoding and Validation",
   "zh": "调度解码与验证",
   "level": "l2"
  },
  "CAP_d0355c6d": {
   "en": "Dynamic Rescheduling",
   "zh": "动态重调度",
   "level": "l2"
  },
  "CAP_4794d3ea": {
   "en": "Scheduler Benchmarking",
   "zh": "调度基准测试",
   "level": "l2"
  },
  "CAP_ac964130": {
   "en": "Pipeline Model Formalization",
   "zh": "流水线调度模型形式化",
   "level": "l3"
  },
  "CAP_ec29ac35": {
   "en": "CP SAT Exact Solve With Time Budget",
   "zh": "约束规划精确求解（带时间预算）",
   "level": "l3"
  },
  "CAP_7a48a7fd": {
   "en": "Dual-Arm Schedule Validation and Execution",
   "zh": "调度解码与可行性验证",
   "level": "l3"
  },
  "CAP_d5cff48d": {
   "en": "Speed Rescheduling",
   "zh": "重调度触发",
   "level": "l3"
  },
  "CAP_4b4750da": {
   "en": "Large Scale Decomposition",
   "zh": "大规模问题分解",
   "level": "l3"
  },
  "CAP_274e2179": {
   "en": "Pipeline Scheduling Benchmarking",
   "zh": "流水线调度基准测试",
   "level": "l3"
  },
  "CAP_97eac47d": {
   "en": "Adaptive Schedule State Encoding",
   "zh": "自适应调度状态表征",
   "level": "l2"
  },
  "CAP_04a19e1a": {
   "en": "Online Policy Learning",
   "zh": "在线策略学习",
   "level": "l2"
  },
  "CAP_71a697d5": {
   "en": "Safe Reward Shaping",
   "zh": "安全与奖励塑形",
   "level": "l2"
  },
  "CAP_d1662f0864": {
   "en": "Meta-Learning Schedule Adaptation",
   "zh": "元学习调度适应",
   "level": "l2"
  },
  "CAP_63bc798c": {
   "en": "Safe Exploration With Shielding",
   "zh": "安全屏蔽探索",
   "level": "l3"
  },
  "CAP_98ebf468": {
   "en": "Reward Adaptive Shaping",
   "zh": "自适应奖励塑形",
   "level": "l3"
  },
  "CAP_dcb3d14c": {
   "en": "Distributed Experience Replay",
   "zh": "分布式经验回放",
   "level": "l3"
  },
  "CAP_3f9a2b7c01": {
   "en": "Meta Policy Transfer",
   "zh": "元策略迁移",
   "level": "l3"
  },
  "CAP_a0d3cb74": {
   "en": "Pipeline Scheduling Exact Optimization",
   "zh": "流水线调度精确优化",
   "level": "l3"
  },
  "CAP_a3c8c7f6": {
   "en": "State Representation and Encoding",
   "zh": "状态表征与编码",
   "level": "l2"
  },
  "CAP_ef8cacfb": {
   "en": "Online Policy Learning and Safe Exploration",
   "zh": "在线策略学习与安全探索",
   "level": "l2"
  },
  "CAP_1b68f77b": {
   "en": "Reward Shaping and Meta-Adaptation",
   "zh": "奖励塑形与元策略适应",
   "level": "l2"
  },
  "CAP_ed34e711": {
   "en": "Air-Ground Map Fusion",
   "zh": "空地跨视角地图融合",
   "level": "l3"
  },
  "CAP_223a9116": {
   "en": "Comm-Aware Task Execution",
   "zh": "通信感知任务执行",
   "level": "l3"
  },
  "CAP_d2645a07": {
   "en": "Heterogeneous Robot Deployment",
   "zh": "异构机器人部署",
   "level": "l3"
  },
  "CAP_e28f1d7b": {
   "en": "Exploration Metrics Evaluation",
   "zh": "探索指标评估",
   "level": "l3"
  },
  "CAP_7e3c686b": {
   "en": "LLM Scenario Initialization",
   "zh": "LLM 场景与指令初始化",
   "level": "l3"
  },
  "CAP_1bfecc5c": {
   "en": "Capability-Robot Matching",
   "zh": "能力-机器人匹配",
   "level": "l3"
  },
  "CAP_d4db5097": {
   "en": "LLM Dynamic Delegation",
   "zh": "LLM 动态任务委派",
   "level": "l3"
  },
  "CAP_8af844e6": {
   "en": "Scene Initialization and Heterogeneous Deployment",
   "zh": "场景初始化与异构机器人部署",
   "level": "l2"
  },
  "CAP_568d7693": {
   "en": "Aerial Wide-Area Exploration and Global Mapping",
   "zh": "空中广域探索与全局建图",
   "level": "l2"
  },
  "CAP_e99b47c3": {
   "en": "Information Sharing and Task Allocation",
   "zh": "信息共享与任务分配",
   "level": "l2"
  },
  "CAP_f21ac4fd": {
   "en": "Ground Fine Mapping and Path Coordination",
   "zh": "地面精细建图与路径协调",
   "level": "l2"
  },
  "CAP_b770d801": {
   "en": "Map Fusion and Evaluation",
   "zh": "地图融合与评估",
   "level": "l2"
  },
  "CAP_a6d897b9": {
   "en": "Multi Robot Path Coordination",
   "zh": "多机器人路径协调",
   "level": "l3"
  },
  "CAP_53f06ce6": {
   "en": "LLM Task Initialization Phase",
   "zh": "LLM任务初始化阶段",
   "level": "l2"
  },
  "CAP_293a072b": {
   "en": "LLM Task Delegation Phase",
   "zh": "LLM任务委派阶段",
   "level": "l2"
  },
  "CAP_41f82998": {
   "en": "LLM Task Execution and Adaptation Phase",
   "zh": "LLM任务执行与自适应阶段",
   "level": "l2"
  },
  "CAP_d1cf4189": {
   "en": "Semantic Task Parsing",
   "zh": "语义任务解析",
   "level": "l2"
  },
  "CAP_fbc1cf55": {
   "en": "Semantic Role Matching",
   "zh": "语义角色匹配",
   "level": "l2"
  },
  "CAP_afea4917": {
   "en": "Multi-Agent Semantic Consensus",
   "zh": "多智能体语义共识",
   "level": "l2"
  },
  "CAP_0d1ea891": {
   "en": "Semantic Role Activation",
   "zh": "语义角色激活",
   "level": "l2"
  },
  "CAP_6157a629": {
   "en": "Robot Semantic Self-Description",
   "zh": "机器人语义能力自述",
   "level": "l3"
  },
  "CAP_93945e20": {
   "en": "LLM Multi-Role Proposal",
   "zh": "LLM多角色提议",
   "level": "l3"
  },
  "CAP_77172d19": {
   "en": "Multi-Agent Semantic Consensus Negotiation",
   "zh": "多智能体语义共识协商",
   "level": "l3"
  },
  "CAP_7156bc0f": {
   "en": "Semantic Dynamic Adjustment",
   "zh": "语义动态调整",
   "level": "l3"
  },
  "CAP_f67f383e": {
   "en": "Constrained Optimization Role Assignment",
   "zh": "约束优化角色分配",
   "level": "l2"
  },
  "CAP_c2a72be2": {
   "en": "Multi-Role Assignment With Capacity Constraints",
   "zh": "多角色容量约束分配",
   "level": "l3"
  },
  "CAP_df0a8807": {
   "en": "Hungarian Optimal Assignment",
   "zh": "匈牙利算法最优分配",
   "level": "l3"
  },
  "CAP_e834cf00": {
   "en": "Robot Capability Modeling",
   "zh": "机器人能力建模",
   "level": "l3"
  },
  "CAP_415620ef": {
   "en": "Semantic Task Understanding",
   "zh": "语义任务理解",
   "level": "l2"
  },
  "CAP_c6b4513c": {
   "en": "Semantic Capability Self-Description",
   "zh": "语义能力自描述",
   "level": "l2"
  },
  "CAP_4b9966df": {
   "en": "Semantic Role Proposal",
   "zh": "语义角色提议",
   "level": "l2"
  },
  "CAP_ba28b333": {
   "en": "Multi-Agent Consensus Negotiation",
   "zh": "多智能体共识协商",
   "level": "l2"
  },
  "CAP_3f4c058c": {
   "en": "Semantic Dynamic Role Adjustment",
   "zh": "语义动态角色调整",
   "level": "l2"
  },
  "CAP_a6583201": {
   "en": "Market-Based Distributed Role Assignment",
   "zh": "市场协商去中心化角色分配",
   "level": "l2"
  },
  "CAP_310642da": {
   "en": "Auction-Based Role Assignment",
   "zh": "拍卖式角色分配",
   "level": "l3"
  },
  "CAP_69540013": {
   "en": "Semantic Map Construction",
   "zh": "语义地图构建",
   "level": "l3"
  },
  "CAP_d69c8016": {
   "en": "Scene Understanding Reasoning",
   "zh": "场景理解推理",
   "level": "l3"
  },
  "CAP_f8c4e382": {
   "en": "Motion Feasibility Validation",
   "zh": "运动可行性验证",
   "level": "l3"
  },
  "CAP_6584ec9e": {
   "en": "Scenario Variation Analysis",
   "zh": "场景变异分析",
   "level": "l3"
  },
  "CAP_3e91b5d0": {
   "en": "Alternative Plan Generation",
   "zh": "备选方案生成",
   "level": "l3"
  },
  "CAP_84f645c5": {
   "en": "Plan Evaluation Selection",
   "zh": "方案评估选择",
   "level": "l3"
  },
  "CAP_9e5a6ad8": {
   "en": "Semantic Scene Perception",
   "zh": "语义场景感知",
   "level": "l2"
  },
  "CAP_1e8f47c5": {
   "en": "Hierarchical TAMP",
   "zh": "分层任务运动规划",
   "level": "l2"
  },
  "CAP_b7cfce41": {
   "en": "Contingency Generation",
   "zh": "备选方案生成",
   "level": "l2"
  },
  "CAP_6758bb1b": {
   "en": "Scene Condition Encoding",
   "zh": "场景条件编码",
   "level": "l3"
  },
  "CAP_670bd32f": {
   "en": "Diffusion-based Motion Generation",
   "zh": "扩散动作生成",
   "level": "l3"
  },
  "CAP_18e62556": {
   "en": "Physics-based Feasibility Filter",
   "zh": "物理可行性过滤",
   "level": "l3"
  },
  "CAP_f8bb30c5": {
   "en": "Trajectory Diversity Assessment",
   "zh": "轨迹多样性评估",
   "level": "l3"
  },
  "CAP_0dbab8da": {
   "en": "Contingency Library Registration",
   "zh": "应急预案库注册",
   "level": "l3"
  },
  "CAP_829937d3": {
   "en": "Multi-scenario Representation",
   "zh": "多场景表征",
   "level": "l2"
  },
  "CAP_88e5e1f3": {
   "en": "Diffusion Generation",
   "zh": "扩散生成",
   "level": "l2"
  },
  "CAP_9921c352": {
   "en": "Diversity Assessment",
   "zh": "多样性评估",
   "level": "l2"
  },
  "CAP_9ab6020d": {
   "en": "Library Registration",
   "zh": "预案库注册",
   "level": "l2"
  },
  "CAP_27a560f2": {
   "en": "Physics Scene Instantiation",
   "zh": "物理场景实例化",
   "level": "l3"
  },
  "CAP_c04b2e41": {
   "en": "Contingency Plan Sim Execution",
   "zh": "应急预案仿真执行",
   "level": "l3"
  },
  "CAP_3618b9f1": {
   "en": "Physics Failure Mode Classification",
   "zh": "物理失败模式分类",
   "level": "l3"
  },
  "CAP_b652dbaa": {
   "en": "Multi-criteria Plan Ranking",
   "zh": "预案多目标排序",
   "level": "l3"
  },
  "CAP_82471839": {
   "en": "Scene Instantiation",
   "zh": "场景实例化",
   "level": "l2"
  },
  "CAP_96e55166": {
   "en": "Contingency Plan Simulation",
   "zh": "应急预案仿真",
   "level": "l2"
  },
  "CAP_cddd8a5a": {
   "en": "Failure Classification",
   "zh": "失败模式分类",
   "level": "l2"
  },
  "CAP_323c4dca": {
   "en": "Plan Ranking",
   "zh": "预案排序",
   "level": "l2"
  },
  "CAP_c4ed818c": {
   "en": "Multi-scenario Semantic Perception",
   "zh": "多场景语义感知",
   "level": "l2"
  },
  "CAP_cd4c381c": {
   "en": "Hierarchical Task and Motion Validation",
   "zh": "分层任务与运动验证",
   "level": "l2"
  },
  "CAP_bba537ee": {
   "en": "Contingency Analysis and Generation",
   "zh": "应急预案分析与生成",
   "level": "l2"
  },
  "CAP_4dffd038": {
   "en": "Plan Evaluation and Selection",
   "zh": "方案评估与选择",
   "level": "l2"
  },
  "CAP_ba0c44e9": {
   "en": "Visual-Inertial Online Calibration",
   "zh": "视觉-惯性在线时空标定",
   "level": "l2"
  },
  "CAP_56011bea": {
   "en": "IMU Intrinsic Online Estimation",
   "zh": "IMU内参在线估计",
   "level": "l3"
  },
  "CAP_01e04d4a": {
   "en": "Convergence-Aware Marginalization",
   "zh": "收敛感知边缘化",
   "level": "l3"
  },
  "CAP_c98cb664": {
   "en": "LiDAR-Camera Extrinsic Calibration",
   "zh": "激光雷达-相机外参标定",
   "level": "l3"
  },
  "CAP_ebcc6802": {
   "en": "Radar-Camera Extrinsic Calibration",
   "zh": "毫米波雷达-相机外参标定",
   "level": "l3"
  },
  "CAP_163bea61": {
   "en": "LiDAR-Radar Extrinsic Calibration",
   "zh": "激光雷达-毫米波雷达外参标定",
   "level": "l3"
  },
  "CAP_fb421385": {
   "en": "Multi-Sensor Joint Optimization",
   "zh": "多传感器联合全局优化",
   "level": "l3"
  },
  "CAP_d7ff9563": {
   "en": "End-to-End BEV Calibration Fusion",
   "zh": "端到端BEV标定融合",
   "level": "l2"
  },
  "CAP_57457e3e": {
   "en": "BEV Calibration Encoding",
   "zh": "BEV标定参数编码",
   "level": "l3"
  },
  "CAP_5f89a325": {
   "en": "Cross-Attention View Transform",
   "zh": "交叉注意力视角变换",
   "level": "l3"
  },
  "CAP_2f569128": {
   "en": "Online Calibration Refinement",
   "zh": "在线标定微调",
   "level": "l3"
  },
  "CAP_11daf773": {
   "en": "Offline Calibration Data Preparation",
   "zh": "离线标定数据准备",
   "level": "l3"
  },
  "CAP_7df60f65": {
   "en": "Tightly-Coupled VI Optimization",
   "zh": "紧耦合视觉-惯性联合优化",
   "level": "l3"
  },
  "CAP_9f807b6d": {
   "en": "Calibration Result Validation",
   "zh": "标定结果验证与评估",
   "level": "l3"
  },
  "CAP_b95e902e": {
   "en": "Learned Multimodal Odometry",
   "zh": "学习型多模态里程计",
   "level": "l2"
  },
  "CAP_3d429217": {
   "en": "Learned Pose Regression",
   "zh": "学习型位姿回归",
   "level": "l3"
  },
  "CAP_05e68142": {
   "en": "Self-Supervised Multimodal Learning",
   "zh": "自监督多模态学习",
   "level": "l3"
  },
  "CAP_cc2ab26f": {
   "en": "Multimodal Temporal Modeling",
   "zh": "多模态时序建模",
   "level": "l3"
  },
  "CAP_e08e12da": {
   "en": "VIO Initialization and Preintegration",
   "zh": "VIO初始化与预积分",
   "level": "l2"
  },
  "CAP_0b5657e5": {
   "en": "VIO State Propagation",
   "zh": "VIO状态传播",
   "level": "l2"
  },
  "CAP_c28715cc": {
   "en": "VIO Feature Tracking and Sliding Window Management",
   "zh": "VIO特征跟踪与滑动窗口管理",
   "level": "l2"
  },
  "CAP_a6f08a32": {
   "en": "VIO Measurement Update and Online Calibration",
   "zh": "VIO测量更新与在线校正",
   "level": "l2"
  },
  "CAP_3cb3eda0": {
   "en": "BEV Fusion Detection",
   "zh": "BEV融合检测",
   "level": "l3"
  },
  "CAP_16f1ece2": {
   "en": "3D Kalman Hungarian Tracking",
   "zh": "3D卡尔曼匈牙利跟踪",
   "level": "l3"
  },
  "CAP_0b35f6bf": {
   "en": "Multi-Modal BEV Trajectory Prediction",
   "zh": "多模态BEV轨迹预测",
   "level": "l3"
  },
  "CAP_3fc721f3": {
   "en": "LidarCam Calib Sync",
   "zh": "激光相机标定同步",
   "level": "l3"
  },
  "CAP_1e65faa6": {
   "en": "Hetero Detection Association",
   "zh": "异构检测关联",
   "level": "l3"
  },
  "CAP_5d30cf57": {
   "en": "MultiModal Trajectory Fusion",
   "zh": "多模态轨迹融合",
   "level": "l3"
  },
  "CAP_efd57242": {
   "en": "Sensor Failure Fallback",
   "zh": "传感器失效降级",
   "level": "l3"
  },
  "CAP_6debc1dc": {
   "en": "Multi-sensor Person State Estimation",
   "zh": "多传感器人员状态估计",
   "level": "l2"
  },
  "CAP_c713613c": {
   "en": "Multi-sensor Spatiotemporal Calibration",
   "zh": "多传感器时空标定",
   "level": "l3"
  },
  "CAP_98e3a790": {
   "en": "Person Motion State Estimation",
   "zh": "人员运动状态估计",
   "level": "l3"
  },
  "CAP_2cd012d4": {
   "en": "Robust Multi-modal Data Association",
   "zh": "鲁棒多模态数据关联",
   "level": "l3"
  },
  "CAP_7c5f7c9f": {
   "en": "End-to-end Multi-modal Association",
   "zh": "端到端多模态关联",
   "level": "l2"
  },
  "CAP_fa9cd520": {
   "en": "End-to-end Association Learning",
   "zh": "端到端关联学习",
   "level": "l3"
  },
  "CAP_185796b2": {
   "en": "Modality Dropout Robustness",
   "zh": "模态丢弃鲁棒性",
   "level": "l3"
  },
  "CAP_fc66b397": {
   "en": "Lightweight Multi-stream Architecture",
   "zh": "轻量多流架构",
   "level": "l3"
  },
  "CAP_098e54f0": {
   "en": "Cross-frame Attention Association",
   "zh": "跨帧注意力关联",
   "level": "l3"
  },
  "CAP_38595f2f": {
   "en": "Foundation-model Semantic Person Tracking",
   "zh": "基础模型语义人员跟踪",
   "level": "l2"
  },
  "CAP_8c79f638": {
   "en": "Semantic Identity Matching",
   "zh": "语义身份匹配",
   "level": "l3"
  },
  "CAP_6868ba81": {
   "en": "End-to-end Multi-modal Association Pipeline",
   "zh": "端到端多模态关联流水线",
   "level": "l2"
  },
  "CAP_0b5947f2": {
   "en": "Multi-sensor Data Synchronization and Preprocessing",
   "zh": "多传感器数据同步与预处理",
   "level": "l3"
  },
  "CAP_b24cdd19": {
   "en": "Modality-specific Feature Extraction",
   "zh": "模态特定特征提取",
   "level": "l3"
  },
  "CAP_194686df": {
   "en": "Person Identity Embedding Generation",
   "zh": "人员身份嵌入生成",
   "level": "l3"
  },
  "CAP_90207a99": {
   "en": "Multi-Session Factor Graph Joint Optimization",
   "zh": "多时段因子图联合优化",
   "level": "l2"
  },
  "CAP_8ec1ffa8": {
   "en": "Multi-Session Factor Graph Construction",
   "zh": "多时段因子图构建",
   "level": "l3"
  },
  "CAP_7c4d0843": {
   "en": "Multi-Session Landmark Fusion",
   "zh": "多时段地图点融合",
   "level": "l3"
  },
  "CAP_418f4f60": {
   "en": "Neural Implicit Multi-Session Joint Optimization",
   "zh": "神经隐式多会话联合优化",
   "level": "l2"
  },
  "CAP_cbfeca16": {
   "en": "Cross-Session NeRF Joint Optimization",
   "zh": "跨会话神经辐射场联合优化",
   "level": "l3"
  },
  "CAP_a1423a5d": {
   "en": "Appearance-Conditioned Geometry Optimization",
   "zh": "外观条件化几何优化",
   "level": "l3"
  },
  "CAP_f08b719e": {
   "en": "Block-Wise Large-Scale Map Fusion",
   "zh": "分块大规模地图融合",
   "level": "l3"
  },
  "CAP_c22065b0": {
   "en": "Pose-Graph Regularized Implicit Optimization",
   "zh": "位姿图正则化隐式优化",
   "level": "l3"
  },
  "CAP_465ffb8f": {
   "en": "Open-Vocabulary Semantic Anchoring and Topological Alignment",
   "zh": "开放词汇语义锚定与拓扑对齐",
   "level": "l3"
  },
  "CAP_432caae6": {
   "en": "Open-Vocabulary Scene Graph Generation",
   "zh": "开放词汇场景图生成",
   "level": "l3"
  },
  "CAP_d1c7a63f": {
   "en": "Stable Semantic Anchor Encoding",
   "zh": "稳定语义锚点编码",
   "level": "l3"
  },
  "CAP_b7dfcfa1": {
   "en": "Topological Map Alignment",
   "zh": "拓扑地图对齐",
   "level": "l3"
  },
  "CAP_0c2859a0": {
   "en": "Session-level Local Mapping",
   "zh": "会话级局部建图",
   "level": "l3"
  },
  "CAP_4a7ab0aa": {
   "en": "Map Serialization and Storage",
   "zh": "地图序列化与存储",
   "level": "l3"
  },
  "CAP_340f5319": {
   "en": "Cross-Session Constraint Discovery",
   "zh": "跨时段约束发现",
   "level": "l3"
  },
  "CAP_492d6202": {
   "en": "Global Factor Graph Joint Optimization",
   "zh": "全局因子图联合优化",
   "level": "l2"
  },
  "CAP_17825d54": {
   "en": "Outlier Rejection and Re-optimization",
   "zh": "异常值剔除与重优化",
   "level": "l3"
  },
  "CAP_fc5123db": {
   "en": "Global Map Generation and Fusion",
   "zh": "全局地图生成与融合",
   "level": "l3"
  },
  "CAP_16de79ed": {
   "en": "Global Map Output",
   "zh": "全局地图输出",
   "level": "l3"
  },
  "CAP_f3809c6e": {
   "en": "Scene Perception and Trigger",
   "zh": "场景感知触发",
   "level": "l2"
  },
  "CAP_2ca8fce5": {
   "en": "Multi-source Perception Trigger",
   "zh": "多源感知触发",
   "level": "l3"
  },
  "CAP_cd4e5f86": {
   "en": "Subgraph and Skill Retrieval",
   "zh": "子图与技能检索",
   "level": "l2"
  },
  "CAP_5c14c45f": {
   "en": "Multi-constraint Action Sequencing",
   "zh": "多约束动作序列生成",
   "level": "l2"
  },
  "CAP_0ea0bac3": {
   "en": "Execution and Graph Update",
   "zh": "执行与图谱更新",
   "level": "l2"
  },
  "CAP_217cb135": {
   "en": "Visual Affordance Assessment",
   "zh": "视觉可供性评估",
   "level": "l2"
  },
  "CAP_b4ee5954": {
   "en": "Visual Affordance Assessment",
   "zh": "视觉可供性评估",
   "level": "l3"
  },
  "CAP_fe2eda0c": {
   "en": "Online Execution Monitoring",
   "zh": "在线执行监控",
   "level": "l2"
  },
  "CAP_334100c1": {
   "en": "Anomaly Characterization",
   "zh": "异常状态表征",
   "level": "l3"
  },
  "CAP_3dfe3217": {
   "en": "Physics Simulation Snapshot",
   "zh": "物理仿真快照",
   "level": "l2"
  },
  "CAP_1c641542": {
   "en": "Physics Simulation Snapshot",
   "zh": "物理仿真快照创建",
   "level": "l3"
  },
  "CAP_17b6bf86": {
   "en": "Counterfactual Recovery Reasoning",
   "zh": "反事实恢复推理",
   "level": "l2"
  },
  "CAP_6b2f4148": {
   "en": "Counterfactual Recovery Reasoning",
   "zh": "反事实恢复推理",
   "level": "l3"
  },
  "CAP_35d28284": {
   "en": "Multi-source Knowledge Fusion",
   "zh": "多源知识融合",
   "level": "l2"
  },
  "CAP_80aa4fbe": {
   "en": "Multi-source Knowledge Fusion",
   "zh": "多源知识融合",
   "level": "l3"
  },
  "CAP_ef966916": {
   "en": "Safe Recovery Policy Deployment",
   "zh": "安全恢复部署",
   "level": "l2"
  },
  "CAP_23c34971": {
   "en": "Safe Recovery Policy Deployment",
   "zh": "安全恢复策略部署",
   "level": "l3"
  },
  "CAP_e5ade60f": {
   "en": "Formal Stakeholder Utility Modeling",
   "zh": "形式化利益方效用量化",
   "level": "l2"
  },
  "CAP_60d82863": {
   "en": "Stakeholder Utility Modeling",
   "zh": "利益方效用建模",
   "level": "l3"
  },
  "CAP_bded62ed": {
   "en": "Game-theoretic Equilibrium Solving",
   "zh": "博弈论均衡求解",
   "level": "l2"
  },
  "CAP_34e5cebf": {
   "en": "Cooperative Shapley Value Calculator",
   "zh": "合作博弈 Shapley 值计算",
   "level": "l3"
  },
  "CAP_bf3b4975": {
   "en": "Bayesian Game Modeler",
   "zh": "贝叶斯博弈建模",
   "level": "l3"
  },
  "CAP_d783d34c": {
   "en": "Negotiation Solution Dispatch",
   "zh": "协商方案分发",
   "level": "l2"
  },
  "CAP_27acdcdc": {
   "en": "Negotiation Solution Interpreter & Dispatcher",
   "zh": "协商方案解释与分发",
   "level": "l3"
  },
  "CAP_7dcc2cb0": {
   "en": "MARL Negotiation Environment Modeling",
   "zh": "MARL 协商环境建模",
   "level": "l2"
  },
  "CAP_55af34b6": {
   "en": "MARL Negotiation Environment Construction",
   "zh": "MARL 协商环境构建",
   "level": "l3"
  },
  "CAP_a046f0cc": {
   "en": "MARL Negotiation Policy",
   "zh": "MARL 协商策略网络",
   "level": "l2"
  },
  "CAP_0b60e8d1": {
   "en": "Emergent Bidding Strategy",
   "zh": "涌现出价策略",
   "level": "l3"
  },
  "CAP_6812388c": {
   "en": "Coalition Formation & Shapley Estimation",
   "zh": "联盟形成与 Shapley 估计",
   "level": "l3"
  },
  "CAP_f5852add": {
   "en": "Deception & Counter-deception Strategy",
   "zh": "欺骗与反欺骗策略",
   "level": "l3"
  },
  "CAP_a813e35f": {
   "en": "Fairness-aware Negotiation",
   "zh": "公平感知协商",
   "level": "l3"
  },
  "CAP_62a0699e": {
   "en": "MARL CTDE Training",
   "zh": "MARL 中心化训练去中心化执行",
   "level": "l2"
  },
  "CAP_0574161d": {
   "en": "MARL CTDE Policy Optimization",
   "zh": "MARL CTDE 策略优化",
   "level": "l3"
  },
  "CAP_4b4f1af4": {
   "en": "Emergent Strategy Evaluation",
   "zh": "涌现策略评估",
   "level": "l2"
  },
  "CAP_0e6ae0b0": {
   "en": "Emergent Negotiation Strategy Assessment",
   "zh": "涌现协商策略评估",
   "level": "l3"
  },
  "CAP_268f0652": {
   "en": "LLM Stakeholder Preference Parsing",
   "zh": "LLM 利益方偏好解析",
   "level": "l2"
  },
  "CAP_edbd970d": {
   "en": "Stakeholder Preference Parsing",
   "zh": "利益方偏好解析",
   "level": "l3"
  },
  "CAP_4b41bb76": {
   "en": "LLM Conflict Space Modeling",
   "zh": "LLM 冲突空间建模",
   "level": "l2"
  },
  "CAP_7b8b8a0d": {
   "en": "LLM Conflict Graph Construction",
   "zh": "LLM 冲突图构建",
   "level": "l3"
  },
  "CAP_c4b3c7c7": {
   "en": "LLM Persuasive Negotiation",
   "zh": "LLM 生成式说服协商",
   "level": "l2"
  },
  "CAP_79323ace": {
   "en": "Persuasive Argument Generation",
   "zh": "说服性论据生成",
   "level": "l3"
  },
  "CAP_9b575f4d": {
   "en": "Consensus Agreement Synthesis",
   "zh": "共识方案合成",
   "level": "l3"
  },
  "CAP_7a5321cb": {
   "en": "Negotiation Deadlock Analysis",
   "zh": "协商僵局分析",
   "level": "l3"
  },
  "CAP_8a84db2c": {
   "en": "Stakeholder Modeling and Utility Construction",
   "zh": "利益方建模与效用函数构建",
   "level": "l2"
  },
  "CAP_c20f730a": {
   "en": "Equilibrium Solving",
   "zh": "均衡求解",
   "level": "l2"
  },
  "CAP_41a5427e": {
   "en": "Solution Interpretation and Dispatch",
   "zh": "方案解释与分发",
   "level": "l2"
  },
  "CAP_2f4cda65": {
   "en": "Bayesian Nash Solver",
   "zh": "贝叶斯纳什均衡求解",
   "level": "l3"
  },
  "CAP_c9fc220b": {
   "en": "Single-objective Optimizer",
   "zh": "单目标优化求解器",
   "level": "l3"
  },
  "CAP_5762e065": {
   "en": "Equilibrium Solver Selection",
   "zh": "均衡求解器选择",
   "level": "l3"
  },
  "CAP_a3b7482c": {
   "en": "Negotiation Scenario Classification",
   "zh": "协商场景分类",
   "level": "l3"
  },
  "CAP_6d085e2e": {
   "en": "Game Model Construction",
   "zh": "博弈模型构建",
   "level": "l3"
  },
  "CAP_123b86b5": {
   "en": "LLM Hierarchical Task Planning",
   "zh": "大模型层次化任务规划",
   "level": "l2"
  },
  "CAP_5aa5b508": {
   "en": "Skill Semantic Mapping",
   "zh": "技能语义映射",
   "level": "l3"
  },
  "CAP_48f4372e": {
   "en": "Parameter Binding Extraction",
   "zh": "参数绑定提取",
   "level": "l3"
  },
  "CAP_e385a625": {
   "en": "Plan Feasibility Verification",
   "zh": "计划可行性验证",
   "level": "l3"
  },
  "CAP_edd38588": {
   "en": "End-to-End VLA Streaming Parsing",
   "zh": "端到端视觉-语言-动作流式解析",
   "level": "l2"
  },
  "CAP_1bcef37c": {
   "en": "Streaming Action Chunk Prediction",
   "zh": "流式动作块预测",
   "level": "l3"
  },
  "CAP_76a6a7ff": {
   "en": "Implicit Task Progress Tracking",
   "zh": "隐式任务进度追踪",
   "level": "l3"
  },
  "CAP_2a73eb02": {
   "en": "Zero-Shot Instruction Generalization",
   "zh": "零样本指令泛化",
   "level": "l3"
  },
  "CAP_cbe9f8e2": {
   "en": "Code-based Instruction Parsing and Replanning",
   "zh": "代码式指令解析与重规划",
   "level": "l2"
  },
  "CAP_c08c6607": {
   "en": "Code-based Subtask Decomposition",
   "zh": "代码式子任务分解",
   "level": "l3"
  },
  "CAP_03a7d248": {
   "en": "Spatial Relation Parameterization",
   "zh": "空间关系参数化",
   "level": "l3"
  },
  "CAP_cf0c47b1": {
   "en": "Conditional Branch Parsing",
   "zh": "条件分支解析",
   "level": "l3"
  },
  "CAP_3a5916ed": {
   "en": "Error-driven Reparsing",
   "zh": "错误驱动重解析",
   "level": "l3"
  },
  "CAP_40c6a55c": {
   "en": "Hierarchical API Selection",
   "zh": "分层 API 选择",
   "level": "l3"
  },
  "CAP_5603fa87": {
   "en": "Code Safety Check and Sandbox Execution",
   "zh": "代码安全检查与沙箱执行",
   "level": "l3"
  },
  "CAP_d0440bbe": {
   "en": "Semantic-Value Aligned Planning",
   "zh": "语义-价值对齐规划",
   "level": "l2"
  },
  "CAP_a3cf3d1a": {
   "en": "LLM Semantic Action Proposal",
   "zh": "LLM语义动作提议",
   "level": "l3"
  },
  "CAP_1a9674b6": {
   "en": "Semantic-Value Alignment Fusion",
   "zh": "语义-价值对齐融合",
   "level": "l3"
  },
  "CAP_e7696239": {
   "en": "Hierarchical Code Composition",
   "zh": "层级代码组合",
   "level": "l3"
  },
  "CAP_9707ed66": {
   "en": "Logic Constraint Sandbox Validation",
   "zh": "逻辑约束沙箱验证",
   "level": "l3"
  },
  "CAP_ddb7dbf6": {
   "en": "Runtime Error Handling and Replanning",
   "zh": "运行时错误处理与重规划",
   "level": "l3"
  },
  "CAP_43caa3a4": {
   "en": "3D VLA Hierarchical Planning",
   "zh": "3D视觉-语言-动作分层规划",
   "level": "l2"
  },
  "CAP_b9ed56fc": {
   "en": "Action Execution and Resource Scheduling",
   "zh": "动作执行与资源调度",
   "level": "l3"
  },
  "CAP_e238498a": {
   "en": "Frame-by-frame Object Detection",
   "zh": "逐帧目标检测",
   "level": "l3"
  },
  "CAP_13bf5fd0": {
   "en": "IoU-based Data Association",
   "zh": "基于交并比的数据关联",
   "level": "l3"
  },
  "CAP_168ed09f": {
   "en": "Graph-optimization & End-to-end MOT Pipeline",
   "zh": "图优化与端到端可学习多目标跟踪流水线",
   "level": "l2"
  },
  "CAP_d181747d": {
   "en": "Detection Graph Construction",
   "zh": "检测图构建",
   "level": "l3"
  },
  "CAP_790355a3": {
   "en": "Geometry Edge Feature",
   "zh": "几何边特征计算",
   "level": "l3"
  },
  "CAP_dd7e9ebf": {
   "en": "MOT Benchmark Evaluation",
   "zh": "多目标跟踪基准评测",
   "level": "l3"
  },
  "CAP_447835e6": {
   "en": "Instance Tracklet Aggregation",
   "zh": "实例轨迹聚合",
   "level": "l3"
  },
  "CAP_0667edaf": {
   "en": "Unified Segmentation Tracking And Multimodal Fusion",
   "zh": "统一分割跟踪与多模态融合",
   "level": "l2"
  },
  "CAP_18347533": {
   "en": "Multimodal 3D Track Association",
   "zh": "多模态 3D 跟踪关联",
   "level": "l3"
  },
  "CAP_951b0908": {
   "en": "Modality-Agnostic Feature Sampling",
   "zh": "模态无关特征采样",
   "level": "l3"
  },
  "CAP_efa33a3f": {
   "en": "Ego-motion Compensated Query Update",
   "zh": "自车运动补偿查询更新",
   "level": "l3"
  },
  "CAP_a68d009b": {
   "en": "Cross-frame Instance ID Association",
   "zh": "像素级实例跟踪",
   "level": "l3"
  },
  "CAP_9c204562": {
   "en": "Query Memory Propagation",
   "zh": "记忆式掩码传播",
   "level": "l3"
  },
  "CAP_733829b0": {
   "en": "Segmentation Hypothesis Construction",
   "zh": "双向分割假设融合",
   "level": "l3"
  },
  "CAP_fb8f61fd": {
   "en": "Object Mask Refinement",
   "zh": "交互式掩码精炼",
   "level": "l3"
  },
  "CAP_7301380a": {
   "en": "Unified Multimodal Perception Distillation Setup",
   "zh": "多模态感知统一蒸馏准备",
   "level": "l2"
  },
  "CAP_bfcbfbfd": {
   "en": "Multi-Teacher Response and Relational Distillation",
   "zh": "多教师响应与关系蒸馏",
   "level": "l2"
  },
  "CAP_0e6bd0fb": {
   "en": "Modality-Robust Distillation Training",
   "zh": "模态鲁棒蒸馏训练",
   "level": "l2"
  },
  "CAP_e6261473": {
   "en": "Multimodal Teacher Bank Management",
   "zh": "多模态教师库管理",
   "level": "l3"
  },
  "CAP_bd5418a2": {
   "en": "Lightweight Multimodal Student Architecture",
   "zh": "轻量多模态学生架构",
   "level": "l3"
  },
  "CAP_956f3bac": {
   "en": "Adaptive Multi-Teacher Logit Aggregation",
   "zh": "自适应多教师Logit聚合",
   "level": "l3"
  },
  "CAP_e3c729e4": {
   "en": "Relational Knowledge Transfer",
   "zh": "关系知识迁移",
   "level": "l3"
  },
  "CAP_887b4bea": {
   "en": "Modality Dropout Robustness Training",
   "zh": "模态缺失鲁棒训练",
   "level": "l3"
  },
  "CAP_8a832c3a": {
   "en": "Cross-Embodied Teacher Pool Construction",
   "zh": "跨形态教师池构建",
   "level": "l2"
  },
  "CAP_c44e87ef": {
   "en": "Embodiment-Specific Teacher Training",
   "zh": "形态特定教师训练",
   "level": "l3"
  },
  "CAP_3c622135": {
   "en": "Embodiment-Aware Feature Alignment",
   "zh": "形态感知特征对齐",
   "level": "l2"
  },
  "CAP_c5700b6b": {
   "en": "Multi-Teacher Logit Fusion and Aggregation",
   "zh": "多教师Logit融合与聚合",
   "level": "l2"
  },
  "CAP_661b2109": {
   "en": "Cross-Embodied Student Compression",
   "zh": "跨形态学生压缩",
   "level": "l2"
  },
  "CAP_f815c0c2": {
   "en": "Cross-Embodiment Feature Alignment",
   "zh": "跨形态特征对齐",
   "level": "l3"
  },
  "CAP_9d4b3bd0": {
   "en": "Embodiment Token Encoding",
   "zh": "形态令牌编码",
   "level": "l3"
  },
  "CAP_03bfefeb": {
   "en": "Multi-Teacher Logit Fusion",
   "zh": "多教师Logit融合",
   "level": "l3"
  },
  "CAP_49889bcd": {
   "en": "Morphology-Aware EWC",
   "zh": "形态感知弹性权重巩固",
   "level": "l3"
  },
  "CAP_9d4bcec9": {
   "en": "Action Space Tokenization",
   "zh": "动作空间令牌化",
   "level": "l3"
  },
  "CAP_64dbe0ba": {
   "en": "Voxel Probabilistic Fusion",
   "zh": "体素概率地图融合",
   "level": "l2"
  },
  "CAP_2c5c0db1": {
   "en": "Multi-Resolution Voxel Query",
   "zh": "多分辨率体素查询",
   "level": "l3"
  },
  "CAP_dde7ea34": {
   "en": "Object State Belief Fusion",
   "zh": "物体状态信念融合",
   "level": "l3"
  },
  "CAP_38308f59": {
   "en": "Object Lifecycle State Machine",
   "zh": "物体生命周期状态机",
   "level": "l3"
  },
  "CAP_e985ce3a": {
   "en": "Persistent Object Graph Storage",
   "zh": "持久化物体图存储",
   "level": "l3"
  },
  "CAP_41df3d03": {
   "en": "Neural 4D Reconstruction",
   "zh": "神经4D场景重建",
   "level": "l2"
  },
  "CAP_882f6d22": {
   "en": "4D NeRF Reconstruction",
   "zh": "4D神经辐射场重建",
   "level": "l3"
  },
  "CAP_2fa16e8d": {
   "en": "4D Gaussian Splatting Reconstruction",
   "zh": "4D高斯泼溅重建",
   "level": "l3"
  },
  "CAP_24b26680": {
   "en": "Spatiotemporal Map Export",
   "zh": "时空地图导出",
   "level": "l3"
  },
  "CAP_86d16638": {
   "en": "Active Reconstruction Initialization",
   "zh": "主动重建初始化",
   "level": "l2"
  },
  "CAP_ab71d2db": {
   "en": "Unknown Object Initial Scan",
   "zh": "未知物体初始扫描",
   "level": "l3"
  },
  "CAP_e52edde2": {
   "en": "Volumetric Scene Representation",
   "zh": "体积场景表征",
   "level": "l3"
  },
  "CAP_320979ac": {
   "en": "NBV Candidate Generation",
   "zh": "NBV候选视角生成",
   "level": "l3"
  },
  "CAP_f26ccfbe": {
   "en": "Active Observation and Model Update",
   "zh": "主动观测与模型更新",
   "level": "l2"
  },
  "CAP_375e32ba": {
   "en": "Active Observation Execution",
   "zh": "主动观测执行",
   "level": "l3"
  },
  "CAP_b10bda21": {
   "en": "Model Completeness Check",
   "zh": "模型完整度检查",
   "level": "l3"
  },
  "CAP_0c7f2922": {
   "en": "Hand-Eye System Calibration",
   "zh": "手眼系统标定",
   "level": "l2"
  },
  "CAP_31031943": {
   "en": "Multi-View Acquisition Planning",
   "zh": "多视角采集路径规划",
   "level": "l2"
  },
  "CAP_f8ee9397": {
   "en": "Multi-View Path Planning",
   "zh": "多视角路径规划",
   "level": "l3"
  },
  "CAP_f2c6fe62": {
   "en": "Robot-Camera Synchronization",
   "zh": "机器人相机同步",
   "level": "l3"
  },
  "CAP_ce5dd7f2": {
   "en": "Multi-View Defect Detection and Fusion",
   "zh": "多视角缺陷检测与融合",
   "level": "l2"
  },
  "CAP_24df525d": {
   "en": "Multi-View Defect Fusion",
   "zh": "多视角缺陷融合",
   "level": "l3"
  },
  "CAP_4c5f82fe": {
   "en": "Multi-View 3D Reconstruction",
   "zh": "多视角三维重建",
   "level": "l3"
  },
  "CAP_29a600d7": {
   "en": "Quality Assessment and Reporting",
   "zh": "质量判定与报告",
   "level": "l2"
  },
  "CAP_eb1c8c64": {
   "en": "Quality Report Generation",
   "zh": "质量报告生成",
   "level": "l3"
  },
  "CAP_dd0cf4b2": {
   "en": "Sparse-View Acquisition and Pose",
   "zh": "稀疏视角采集与位姿",
   "level": "l2"
  },
  "CAP_d4152aeb": {
   "en": "Sparse-View Capture and Pose Estimation",
   "zh": "稀疏视角采集与位姿估计",
   "level": "l3"
  },
  "CAP_298a1f82": {
   "en": "Neural Surface Reconstruction",
   "zh": "神经场表面重建",
   "level": "l2"
  },
  "CAP_5e199eba": {
   "en": "Sparse-View Surface Reconstruction",
   "zh": "稀疏视角表面重建",
   "level": "l3"
  },
  "CAP_4fa01b14": {
   "en": "Neural Relighting",
   "zh": "神经重打光",
   "level": "l2"
  },
  "CAP_96adb5dd": {
   "en": "Neural Relighting Rendering",
   "zh": "神经重打光渲染",
   "level": "l3"
  },
  "CAP_876a3272": {
   "en": "Multi-Light Defect Detection and Judgment",
   "zh": "多光照缺陷检测与判定",
   "level": "l2"
  },
  "CAP_7845a48c": {
   "en": "Multi-Light Defect Detection",
   "zh": "多光照缺陷检测",
   "level": "l3"
  },
  "CAP_9f5873f5": {
   "en": "Screened Poisson Surface Reconstruction",
   "zh": "筛选泊松表面重建",
   "level": "l3"
  },
  "CAP_30ff045a": {
   "en": "Multi-View Texture Mapping",
   "zh": "多视角纹理映射",
   "level": "l3"
  },
  "CAP_2f6e3563": {
   "en": "Neural Implicit Scene Reconstruction",
   "zh": "神经隐式场景重建",
   "level": "l2"
  },
  "CAP_d08b0cf2": {
   "en": "Neural Implicit Per-Scene Optimization",
   "zh": "神经隐式逐场景优化",
   "level": "l3"
  },
  "CAP_cc059c32": {
   "en": "Multi-Robot Pose Joint Optimization",
   "zh": "多机器人位姿联合优化",
   "level": "l3"
  },
  "CAP_40dd3b0d": {
   "en": "Depth-Supervised Geometry Refinement",
   "zh": "深度监督几何精化",
   "level": "l3"
  },
  "CAP_6fc55c53": {
   "en": "Incremental Neural Scene Update",
   "zh": "增量式神经场景更新",
   "level": "l3"
  },
  "CAP_89ea47bb": {
   "en": "Feedforward Gaussian Reconstruction",
   "zh": "前馈高斯重建",
   "level": "l2"
  },
  "CAP_38476170": {
   "en": "Feedforward Gaussian Prediction",
   "zh": "前馈高斯预测",
   "level": "l3"
  },
  "CAP_c0b39e89": {
   "en": "Cross-View Cost Volume Construction",
   "zh": "跨视角代价体构建",
   "level": "l3"
  },
  "CAP_6ee680f7": {
   "en": "Gaussian Refinement And Pruning",
   "zh": "高斯原语筛选与优化",
   "level": "l3"
  },
  "CAP_fd26868c": {
   "en": "Multi-Robot View Aggregation",
   "zh": "多机器人视角聚合",
   "level": "l3"
  },
  "CAP_e50afb2a": {
   "en": "Classical MVS Preprocessing",
   "zh": "经典MVS预处理",
   "level": "l2"
  },
  "CAP_78f12b23": {
   "en": "Multi-view Image Preparation",
   "zh": "多视图图像准备",
   "level": "l3"
  },
  "CAP_cc2cf396": {
   "en": "PatchMatch Iterative Optimization",
   "zh": "PatchMatch迭代优化",
   "level": "l2"
  },
  "CAP_98f24761": {
   "en": "PatchMatch Depth Initialization",
   "zh": "PatchMatch深度初始化",
   "level": "l3"
  },
  "CAP_720af965": {
   "en": "PatchMatch Spatial Propagation",
   "zh": "PatchMatch空间传播",
   "level": "l3"
  },
  "CAP_bf8c5eb6": {
   "en": "PatchMatch View Propagation",
   "zh": "PatchMatch视图传播",
   "level": "l3"
  },
  "CAP_57c2b333": {
   "en": "PatchMatch Plane Refinement",
   "zh": "PatchMatch平面细化",
   "level": "l3"
  },
  "CAP_038f2d7b": {
   "en": "Multi-view Feature Extraction",
   "zh": "多视角特征提取",
   "level": "l3"
  },
  "CAP_28f83503": {
   "en": "Differentiable Cost Volume Construction",
   "zh": "可微代价体构建",
   "level": "l2"
  },
  "CAP_d18f7d5f": {
   "en": "Learnable Cost Volume Construction",
   "zh": "可学习代价体构建",
   "level": "l3"
  },
  "CAP_0f177ce6": {
   "en": "3D Cost Volume Regularization",
   "zh": "3D代价体正则化",
   "level": "l3"
  },
  "CAP_7a0310ec": {
   "en": "Recurrent Cost Regularization",
   "zh": "循环代价体正则化",
   "level": "l3"
  },
  "CAP_57b96e57": {
   "en": "Depth Regression",
   "zh": "深度回归",
   "level": "l2"
  },
  "CAP_1d7e9b13": {
   "en": "3DGS Scene Representation",
   "zh": "3DGS场景表示",
   "level": "l2"
  },
  "CAP_63d74255": {
   "en": "Scene Representation Initialization",
   "zh": "场景表示初始化",
   "level": "l3"
  },
  "CAP_c1a998c0": {
   "en": "3DGS Rasterization",
   "zh": "3DGS可微分光栅化",
   "level": "l3"
  },
  "CAP_20de8b04": {
   "en": "Spherical Harmonics Evaluation",
   "zh": "球谐函数评估",
   "level": "l3"
  },
  "CAP_ab995c34": {
   "en": "Photometric Optimization",
   "zh": "光度优化",
   "level": "l2"
  },
  "CAP_f2b5a637": {
   "en": "Photometric Loss SSIM L1",
   "zh": "L1+SSIM光度损失",
   "level": "l3"
  },
  "CAP_dd33302c": {
   "en": "Adaptive Density Control",
   "zh": "自适应密度控制",
   "level": "l3"
  },
  "CAP_73b6b070": {
   "en": "Depth Regularization Loss",
   "zh": "深度正则化损失",
   "level": "l3"
  },
  "CAP_926bc7fa": {
   "en": "Gaussian Geometry Extraction",
   "zh": "高斯几何提取",
   "level": "l2"
  },
  "CAP_566f8d4d": {
   "en": "Probabilistic Soft-boundary Uncertainty Estimation",
   "zh": "概率软边界不确定性估计（伞形）",
   "level": "l2"
  },
  "CAP_29bce80d": {
   "en": "Semantic Zone Parsing",
   "zh": "语义区域解析（伞形）",
   "level": "l2"
  },
  "CAP_e43c7063": {
   "en": "Spatio-temporal Risk Inference",
   "zh": "时空风险推演（伞形）",
   "level": "l2"
  },
  "CAP_29b8a403": {
   "en": "Uncertainty-Aware Positioning",
   "zh": "不确定性感知定位",
   "level": "l3"
  },
  "CAP_cae10c63": {
   "en": "Semantic Zone Parser",
   "zh": "语义区域解析",
   "level": "l3"
  },
  "CAP_693693e4": {
   "en": "Probabilistic Soft-boundary Field",
   "zh": "概率软边界场生成",
   "level": "l3"
  },
  "CAP_1309056e": {
   "en": "Spatio-temporal Risk Predictor",
   "zh": "时空风险推演",
   "level": "l3"
  },
  "CAP_9732a476": {
   "en": "Soft Constraint Adapter",
   "zh": "软约束适配输出",
   "level": "l3"
  },
  "CAP_c67659b3": {
   "en": "Multi-agent Cooperative Fence Perception",
   "zh": "多智能体协同围栏感知（伞形）",
   "level": "l2"
  },
  "CAP_15904cb1": {
   "en": "Distributed Fence Constraint Modeling",
   "zh": "分布式围栏约束建模与规划（伞形）",
   "level": "l2"
  },
  "CAP_d6f915c6": {
   "en": "Consensus Fence Renegotiation",
   "zh": "共识重协商与安全监控（伞形）",
   "level": "l2"
  },
  "CAP_b6b61609": {
   "en": "Cooperative Perception Fencing",
   "zh": "协同感知围栏建图",
   "level": "l3"
  },
  "CAP_10db51a9": {
   "en": "Distributed Fence Constraint Extraction",
   "zh": "分布式围栏约束提取",
   "level": "l3"
  },
  "CAP_9510560a": {
   "en": "Multi-agent Fence-aware MPC",
   "zh": "多智能体围栏感知MPC",
   "level": "l3"
  },
  "CAP_393bdbbf": {
   "en": "Consensus-driven Fence Renegotiation",
   "zh": "共识驱动围栏重协商",
   "level": "l3"
  },
  "CAP_1f4af906": {
   "en": "Distributed Fence Safety Monitor",
   "zh": "分布式围栏安全监控",
   "level": "l3"
  },
  "CAP_caa095a8": {
   "en": "Musculoskeletal Modeling and Simulation",
   "zh": "肌肉骨骼建模与仿真集成",
   "level": "l2"
  },
  "CAP_f84548e8": {
   "en": "RL Simulation Environment Integration",
   "zh": "RL 仿真环境集成",
   "level": "l3"
  },
  "CAP_d464a0f1": {
   "en": "Muscle-Driven Locomotion RL Training",
   "zh": "肌肉驱动运动强化学习训练",
   "level": "l2"
  },
  "CAP_86a43c48": {
   "en": "RL Algorithm and Reward Design",
   "zh": "RL 算法与奖励设计",
   "level": "l3"
  },
  "CAP_594be7c3": {
   "en": "Parallel RL Policy Training",
   "zh": "并行 RL 策略训练",
   "level": "l3"
  },
  "CAP_c26becfd": {
   "en": "Muscle-Driven Locomotion",
   "zh": "肌肉驱动运动控制",
   "level": "l3"
  },
  "CAP_27485120": {
   "en": "Musculoskeletal Motion Analysis",
   "zh": "肌肉骨骼运动分析",
   "level": "l2"
  },
  "CAP_f32407cc": {
   "en": "Muscle Synergy Extraction",
   "zh": "肌肉协同提取",
   "level": "l3"
  },
  "CAP_033c124e7c": {
   "en": "Metabolic Cost Estimation",
   "zh": "代谢能耗估算",
   "level": "l3"
  },
  "CAP_b39981e0": {
   "en": "PAM Modeling and Identification",
   "zh": "PAM 建模与辨识",
   "level": "l2"
  },
  "CAP_d5588618": {
   "en": "PAM Static Modeling and Identification",
   "zh": "PAM 静力学建模与辨识",
   "level": "l3"
  },
  "CAP_602a2b22": {
   "en": "PAM Force Pressure Servo",
   "zh": "PAM 力/压力伺服",
   "level": "l2"
  },
  "CAP_a94c7a90": {
   "en": "PAM Force Pressure Servo Control",
   "zh": "PAM 力/压力伺服控制",
   "level": "l3"
  },
  "CAP_e1aa6d21": {
   "en": "Antagonistic PAM Joint Control",
   "zh": "拮抗 PAM 关节控制",
   "level": "l2"
  },
  "CAP_ad6b7d96": {
   "en": "Antagonistic Joint Stiffness Control",
   "zh": "拮抗关节刚度控制",
   "level": "l3"
  },
  "CAP_067ca87d": {
   "en": "PAM Hysteresis Compensation",
   "zh": "PAM 迟滞补偿",
   "level": "l3"
  },
  "CAP_b3d5ab4e": {
   "en": "Whole-Body PAM Impedance Control",
   "zh": "全身 PAM 阻抗控制",
   "level": "l2"
  },
  "CAP_6b9fd25d": {
   "en": "Whole-Body Impedance Control for PAM Robot",
   "zh": "全身阻抗控制（PAM 机器人）",
   "level": "l3"
  },
  "CAP_5146ec79": {
   "en": "Free-Space Motion Control",
   "zh": "自由空间运动控制",
   "level": "l3"
  },
  "CAP_5a6d94b1": {
   "en": "Constrained Impedance Control",
   "zh": "约束空间阻抗控制",
   "level": "l3"
  },
  "CAP_e40ab110": {
   "en": "SEMG Preprocess and Feature Extraction",
   "zh": "sEMG 预处理与特征提取",
   "level": "l3"
  },
  "CAP_4f5028bc": {
   "en": "SEMG Intent Decoding",
   "zh": "sEMG 意图解码",
   "level": "l2"
  },
  "CAP_7a825866": {
   "en": "Continuous Joint Torque Estimation from SEMG",
   "zh": "基于 sEMG 的连续关节力矩估计",
   "level": "l3"
  },
  "CAP_fb796deb": {
   "en": "Antagonistic Muscle Stiffness Estimation",
   "zh": "拮抗肌刚度估计",
   "level": "l3"
  },
  "CAP_8391d297": {
   "en": "Dynamic-Weight Shared Control",
   "zh": "动态权重共享控制",
   "level": "l2"
  },
  "CAP_5459abc8": {
   "en": "Dynamic Weight Shared Control Law",
   "zh": "动态权重共享控制律",
   "level": "l3"
  },
  "CAP_4d09925a": {
   "en": "Discrete Intent Preset Trajectory",
   "zh": "离散意图预设轨迹",
   "level": "l3"
  },
  "CAP_7a605018": {
   "en": "SEMG-Assisted Execution and Adaptation",
   "zh": "sEMG 辅助执行与自适应",
   "level": "l2"
  },
  "CAP_10a93bd9": {
   "en": "SEMG-Assisted Robot Execution",
   "zh": "sEMG 辅助机器人执行",
   "level": "l3"
  },
  "CAP_990de094": {
   "en": "Multimodal Feedback Adaptation",
   "zh": "多模态反馈自适应",
   "level": "l3"
  },
  "CAP_fe304993": {
   "en": "Mutual Gaze Geometric Appearance Detection",
   "zh": "对视检测（几何-外观混合）",
   "level": "l2"
  },
  "CAP_ea75dcf8": {
   "en": "Gaze Vector Estimation",
   "zh": "几何视线向量估计",
   "level": "l3"
  },
  "CAP_530fdacb": {
   "en": "Geometric Gaze Check",
   "zh": "几何对视判定",
   "level": "l3"
  },
  "CAP_d9915187": {
   "en": "Eye Appearance Encoding",
   "zh": "眼部外观特征编码",
   "level": "l3"
  },
  "CAP_3b3a1c77": {
   "en": "Hybrid Mutual Gaze Classification",
   "zh": "混合对视分类",
   "level": "l3"
  },
  "CAP_707b4931": {
   "en": "Egocentric Scene Context Provision",
   "zh": "自我中心场景上下文供给",
   "level": "l2"
  },
  "CAP_1db73fa2": {
   "en": "Egocentric Scene Graph Construction",
   "zh": "自我中心场景图构建",
   "level": "l3"
  },
  "CAP_e7982a72": {
   "en": "Person Detection and Tracking",
   "zh": "人物检测与身份维持",
   "level": "l3"
  },
  "CAP_87260bf3": {
   "en": "Social Scene Classification",
   "zh": "社交场景分类",
   "level": "l3"
  },
  "CAP_8af56c89": {
   "en": "Robot Self-Pose Estimation",
   "zh": "机器人自我姿态感知",
   "level": "l3"
  },
  "CAP_afa0fea8": {
   "en": "Scene Attention Heatmap Generation",
   "zh": "场景注意力热图生成",
   "level": "l3"
  },
  "CAP_990684af": {
   "en": "Multimodal Temporal Social Intent Inference",
   "zh": "多模态时序社交意图推理",
   "level": "l2"
  },
  "CAP_a1821375": {
   "en": "Gaze Intent Feature Extraction",
   "zh": "视线意图特征提取",
   "level": "l3"
  },
  "CAP_80c546d9": {
   "en": "Speech Intent Feature Extraction",
   "zh": "语音意图特征提取",
   "level": "l3"
  },
  "CAP_5220c5cb": {
   "en": "Gesture Intent Feature Extraction",
   "zh": "手势意图特征提取",
   "level": "l3"
  },
  "CAP_942a4318": {
   "en": "Proxemics Intent Feature Extraction",
   "zh": "空间行为意图特征提取",
   "level": "l3"
  },
  "CAP_6641bd51": {
   "en": "Temporal Intent Inference",
   "zh": "时序意图推理",
   "level": "l3"
  },
  "CAP_b1972156": {
   "en": "Interaction Initiation Policy",
   "zh": "交互发起策略",
   "level": "l3"
  },
  "CAP_c5059b6e": {
   "en": "Lightweight mTLS Bootstrap",
   "zh": "轻量级 mTLS 安全启动",
   "level": "l2"
  },
  "CAP_d6fd4056": {
   "en": "PSK-based Handshake",
   "zh": "基于预共享密钥的握手",
   "level": "l3"
  },
  "CAP_b0c1be98": {
   "en": "Session Resumption (0-RTT)",
   "zh": "0-RTT 会话恢复",
   "level": "l3"
  },
  "CAP_ad20d4bc": {
   "en": "Raw Public Key Authentication",
   "zh": "原始公钥认证",
   "level": "l3"
  },
  "CAP_61643295": {
   "en": "Secure Credential Storage",
   "zh": "安全凭据存储",
   "level": "l3"
  },
  "CAP_b55d9925": {
   "en": "Certificate Lifecycle Automation",
   "zh": "证书生命周期自动化",
   "level": "l2"
  },
  "CAP_63c594c8": {
   "en": "Automated SVID Issuance",
   "zh": "自动 SVID 签发",
   "level": "l3"
  },
  "CAP_06971800": {
   "en": "Hot Restart Certificate Rotation",
   "zh": "热重启证书轮换",
   "level": "l3"
  },
  "CAP_7c4e68f0": {
   "en": "Offline Certificate Grace Period",
   "zh": "离线证书宽限期",
   "level": "l3"
  },
  "CAP_5b82e149": {
   "en": "Bulk Certificate Revocation",
   "zh": "批量证书吊销",
   "level": "l3"
  },
  "CAP_8eb81ccd": {
   "en": "Zero Trust Federated Identity",
   "zh": "零信任联邦身份",
   "level": "l2"
  },
  "CAP_b9acb0c1": {
   "en": "Trust Bundle Federation",
   "zh": "信任根联邦",
   "level": "l3"
  },
  "CAP_8267b4a1": {
   "en": "Cross-domain mTLS Handshake",
   "zh": "跨域 mTLS 握手",
   "level": "l3"
  },
  "CAP_6d8c2314": {
   "en": "Federated Authorization Policy",
   "zh": "联邦授权策略",
   "level": "l3"
  },
  "CAP_1722ac0f": {
   "en": "Federated Service Discovery",
   "zh": "联邦服务发现",
   "level": "l3"
  },
  "CAP_82f9fea6": {
   "en": "2D Laser Geometric Perception",
   "zh": "2D激光几何感知",
   "level": "l2"
  },
  "CAP_f1b0b10e": {
   "en": "LaserScan-Based Width Estimation",
   "zh": "激光测距宽度估计",
   "level": "l3"
  },
  "CAP_13e13f8b": {
   "en": "Range Discontinuity Opening Detection",
   "zh": "距离不连续开口检测",
   "level": "l3"
  },
  "CAP_5316374f": {
   "en": "Costmap Update & Narrow Passage Augmentation",
   "zh": "代价地图更新与窄通道增强",
   "level": "l2"
  },
  "CAP_f3a5748d": {
   "en": "Narrow Passage Costmap Layer",
   "zh": "窄通道代价地图层",
   "level": "l3"
  },
  "CAP_a3004549": {
   "en": "Costmap Traversability Assessment",
   "zh": "代价地图可通行性评估",
   "level": "l2"
  },
  "CAP_e193847a": {
   "en": "Costmap Traversability Check",
   "zh": "代价地图可通行性检查",
   "level": "l3"
  },
  "CAP_3e41920d": {
   "en": "Narrow Passage Navigation Behavior Triggering",
   "zh": "窄通道导航行为触发",
   "level": "l2"
  },
  "CAP_f1982d31": {
   "en": "Narrow Passage Behavior Triggering",
   "zh": "窄通道行为触发",
   "level": "l3"
  },
  "CAP_799e0558": {
   "en": "Cross-Modal Self-Supervised Pretraining",
   "zh": "跨模态自监督预训练",
   "level": "l3"
  },
  "CAP_64dbde18": {
   "en": "Multimodal Fusion & Traversability Inference",
   "zh": "多模态融合与可通行性推理",
   "level": "l2"
  },
  "CAP_6b847356": {
   "en": "Multimodal Traversability Prediction",
   "zh": "多模态可通行性预测",
   "level": "l3"
  },
  "CAP_7feeee49": {
   "en": "Narrow Passage Geometry Decoding",
   "zh": "窄通道几何约束解码",
   "level": "l2"
  },
  "CAP_48e4f011": {
   "en": "Narrow Passage Geometry Decoder",
   "zh": "窄通道几何解码器",
   "level": "l3"
  },
  "CAP_bdecdb24": {
   "en": "Passage Verification & Instruction Completion",
   "zh": "通行结果验证与指令完成判定",
   "level": "l2"
  },
  "CAP_a5a0b38f": {
   "en": "Language Instruction CoT Completion & Object Localization",
   "zh": "语言指令思维链补全与对象定位",
   "level": "l3"
  },
  "CAP_db4e8568": {
   "en": "Depth-Map Traversability Estimation & Narrow Passage Action Proposal",
   "zh": "深度图可通行性估计与窄通道动作提议",
   "level": "l3"
  },
  "CAP_8bf22eff": {
   "en": "Open-Vocabulary VLM Frontier Scoring Zero-Shot ObjectNav",
   "zh": "开放词汇VLM前沿评分零样本目标导航",
   "level": "l3"
  },
  "CAP_ee6c32c8": {
   "en": "Imagination-Driven Best-View Selection Navigation",
   "zh": "想象驱动最佳视图选择导航",
   "level": "l3"
  },
  "CAP_e0f852c5": {
   "en": "Narrow Passage Heuristic Sampling",
   "zh": "窄通道启发式采样",
   "level": "l2"
  },
  "CAP_8353004a": {
   "en": "Bridge Test Sampling",
   "zh": "桥测试采样",
   "level": "l3"
  },
  "CAP_b100d3df": {
   "en": "Gaussian Sampling for Narrow Passages",
   "zh": "窄通道高斯采样",
   "level": "l3"
  },
  "CAP_cdeed457": {
   "en": "Probabilistic Roadmap Planning",
   "zh": "概率路图规划",
   "level": "l2"
  },
  "CAP_4b1a8c44": {
   "en": "Probabilistic Roadmap Construction (Narrow Passage)",
   "zh": "窄通道概率路图构建",
   "level": "l3"
  },
  "CAP_8f4eaad2": {
   "en": "Graph-based Path Search",
   "zh": "基于图的路径搜索",
   "level": "l2"
  },
  "CAP_c1f36d6e": {
   "en": "Path Post-processing Smoothing",
   "zh": "路径后处理平滑",
   "level": "l2"
  },
  "CAP_29962c96": {
   "en": "Narrow Passage Trajectory Smoothing",
   "zh": "窄通道轨迹平滑",
   "level": "l3"
  },
  "CAP_6a7caa43": {
   "en": "Topology-guided Optimization",
   "zh": "拓扑引导优化",
   "level": "l2"
  },
  "CAP_50a43fb4": {
   "en": "Topology-Guided Trajectory Optimization",
   "zh": "拓扑引导轨迹优化",
   "level": "l3"
  },
  "CAP_28f5171a": {
   "en": "Trajectory Constraint Validation",
   "zh": "轨迹约束验证",
   "level": "l2"
  },
  "CAP_bcc3fc11": {
   "en": "Generative Path Generation",
   "zh": "生成式路径生成",
   "level": "l2"
  },
  "CAP_f83edb5a": {
   "en": "Generative Path Sampling",
   "zh": "生成式路径采样",
   "level": "l3"
  },
  "CAP_f66af826": {
   "en": "Implicit Feasibility and Refinement",
   "zh": "隐式可行性验证与细化",
   "level": "l2"
  },
  "CAP_3d012ac3": {
   "en": "Implicit Feasibility Query",
   "zh": "隐式可行性查询",
   "level": "l3"
  },
  "CAP_701106b0": {
   "en": "Gradient-Guided Path Refinement",
   "zh": "梯度引导路径细化",
   "level": "l3"
  },
  "CAP_d81a7206": {
   "en": "Recovery Stuck Trigger",
   "zh": "卡滞触发检测",
   "level": "l3"
  },
  "CAP_91cd39cc": {
   "en": "Costmap Repair Backoff Planning",
   "zh": "代价地图修复与后退规划",
   "level": "l2"
  },
  "CAP_3f8d6c04": {
   "en": "Costmap Temporal Filter",
   "zh": "代价地图时间滤波",
   "level": "l3"
  },
  "CAP_b56d6791": {
   "en": "Spatial Consistency Checker",
   "zh": "空间一致性检查",
   "level": "l3"
  },
  "CAP_53eb2875": {
   "en": "Costmap Reinflator",
   "zh": "代价地图重新膨胀",
   "level": "l3"
  },
  "CAP_9a73395a": {
   "en": "Geometric Backoff Path Generator",
   "zh": "几何后退路径生成",
   "level": "l3"
  },
  "CAP_5e275994": {
   "en": "Backoff Execution Recovery",
   "zh": "后退执行与恢复重规划",
   "level": "l2"
  },
  "CAP_b1db6446": {
   "en": "Safe Backoff Controller",
   "zh": "安全后退控制器",
   "level": "l3"
  },
  "CAP_203769d0": {
   "en": "Recovery Replan Trigger",
   "zh": "恢复重规划触发",
   "level": "l3"
  },
  "CAP_3d799e1e": {
   "en": "Escape Detection Sampling",
   "zh": "逃逸检测与采样",
   "level": "l2"
  },
  "CAP_9ceff250": {
   "en": "Heuristic Biased Sampling",
   "zh": "启发式偏置采样",
   "level": "l3"
  },
  "CAP_71464257": {
   "en": "Escape Trajectory Optimization",
   "zh": "逃逸轨迹优化",
   "level": "l2"
  },
  "CAP_230c0dd4": {
   "en": "Constrained Trajectory Smoothing",
   "zh": "约束轨迹平滑",
   "level": "l3"
  },
  "CAP_8d535374": {
   "en": "Escape Execution Monitoring",
   "zh": "逃逸执行与监控",
   "level": "l2"
  },
  "CAP_f73fda8b": {
   "en": "Safe Trajectory Execution",
   "zh": "安全轨迹执行与监控",
   "level": "l3"
  },
  "CAP_5378e422": {
   "en": "DRL Narrow Passage Env",
   "zh": "DRL窄通道仿真环境",
   "level": "l2"
  },
  "CAP_968a69ae": {
   "en": "Sim Narrow Passage Env Generator",
   "zh": "窄通道仿真环境生成",
   "level": "l3"
  },
  "CAP_feb39070": {
   "en": "Teacher Student Privileged Trainer",
   "zh": "教师-学生特权训练",
   "level": "l3"
  },
  "CAP_40cd4820": {
   "en": "Proprioceptive Encoder",
   "zh": "本体感知编码器",
   "level": "l3"
  },
  "CAP_e18df4d2": {
   "en": "DRL Sim-to-Real Deploy",
   "zh": "DRL Sim-to-Real 部署",
   "level": "l2"
  },
  "CAP_35395516": {
   "en": "DRL Narrow Passage Recovery Policy",
   "zh": "DRL窄通道恢复策略",
   "level": "l3"
  },
  "CAP_b64459e9": {
   "en": "Online Domain Adaptor",
   "zh": "在线域自适应器",
   "level": "l3"
  },
  "CAP_a64d418c": {
   "en": "Specific Shape Pair Contact",
   "zh": "特定形状对接触生成",
   "level": "l3"
  },
  "CAP_f8c95095": {
   "en": "SDF Voxelization From Mesh",
   "zh": "网格转 SDF 体素化",
   "level": "l3"
  },
  "CAP_2899a9b3": {
   "en": "SDF Contact Generation",
   "zh": "SDF 接触信息生成",
   "level": "l3"
  },
  "CAP_bae0a8a6": {
   "en": "Learned And Parallel Collision",
   "zh": "数据驱动与并行加速碰撞",
   "level": "l2"
  },
  "CAP_f6f97bce": {
   "en": "Learned Contact Manifold",
   "zh": "学习型接触流形",
   "level": "l3"
  },
  "CAP_88867577": {
   "en": "Collision Algorithm Selector",
   "zh": "碰撞算法选择器",
   "level": "l3"
  },
  "CAP_82375f52": {
   "en": "Neural SDF Collision",
   "zh": "神经 SDF 碰撞",
   "level": "l3"
  },
  "CAP_8a0884e7": {
   "en": "Symbolic Plan-based Explanation",
   "zh": "符号化规划解释",
   "level": "l2"
  },
  "CAP_190931f9": {
   "en": "Causal Trajectory Analysis",
   "zh": "因果轨迹分析",
   "level": "l2"
  },
  "CAP_02a16451": {
   "en": "Hybrid NLG Explanation",
   "zh": "混合式自然语言解释",
   "level": "l2"
  },
  "CAP_812ef1e3": {
   "en": "Causal Link Extraction",
   "zh": "因果链接提取",
   "level": "l3"
  },
  "CAP_a5aaaa57": {
   "en": "Template-based NLG",
   "zh": "模板化自然语言生成",
   "level": "l3"
  },
  "CAP_213de3ff": {
   "en": "LLM-based NLG Refinement",
   "zh": "LLM润色增强",
   "level": "l3"
  },
  "CAP_37288505": {
   "en": "VLA Action Decision Reasoning",
   "zh": "VLA动作决策推理",
   "level": "l2"
  },
  "CAP_db7865b7": {
   "en": "VLA Explanation Generation",
   "zh": "VLA解释生成",
   "level": "l2"
  },
  "CAP_db633d73": {
   "en": "VLA Explanation Decoding",
   "zh": "VLA解释解码",
   "level": "l3"
  },
  "CAP_6863076c": {
   "en": "VLA Faithfulness Verification",
   "zh": "VLA忠实度验证",
   "level": "l3"
  },
  "CAP_40340791": {
   "en": "Robotic Fault Causal Attribution",
   "zh": "故障因果归因",
   "level": "l2"
  },
  "CAP_5f2b2576": {
   "en": "Interactive Fault Explanation",
   "zh": "交互式故障解释",
   "level": "l2"
  },
  "CAP_94fed8c9": {
   "en": "Causal Fault Attribution",
   "zh": "因果故障归因",
   "level": "l3"
  },
  "CAP_2884a120": {
   "en": "Fault NLG",
   "zh": "故障自然语言解释",
   "level": "l3"
  },
  "CAP_8a9ca252": {
   "en": "Interactive Fault Dialogue Management",
   "zh": "交互式故障对话管理",
   "level": "l3"
  },
  "CAP_05469e2e": {
   "en": "Safe Strategy Adaptation",
   "zh": "安全策略修正",
   "level": "l3"
  },
  "CAP_213732c2": {
   "en": "LLM Predicate Mapping",
   "zh": "LLM 谓词语义映射",
   "level": "l2"
  },
  "CAP_7bf1640c": {
   "en": "PDDL Goal Generation",
   "zh": "PDDL 目标形式化生成",
   "level": "l2"
  },
  "CAP_27081aab": {
   "en": "PDDL Goal Validation and Repair",
   "zh": "PDDL 目标校验与修复",
   "level": "l2"
  },
  "CAP_f5f2bc22": {
   "en": "NL Goal Entity Extraction",
   "zh": "自然语言目标实体抽取",
   "level": "l3"
  },
  "CAP_472eb61e": {
   "en": "LLM-based Predicate Mapping",
   "zh": "基于 LLM 的谓词映射",
   "level": "l3"
  },
  "CAP_15fc2447": {
   "en": "PDDL Goal Syntax Generation",
   "zh": "PDDL 目标语法生成",
   "level": "l3"
  },
  "CAP_c2be2027": {
   "en": "Goal Standardization",
   "zh": "目标标准化",
   "level": "l2"
  },
  "CAP_cca5a4be": {
   "en": "Skill Matching and Decomposition",
   "zh": "技能匹配与分层分解",
   "level": "l2"
  },
  "CAP_347fb215": {
   "en": "Instantiation and Feasibility Checking",
   "zh": "参数实例化与可行性校验",
   "level": "l2"
  },
  "CAP_503f0e8a": {
   "en": "LLM Reward Synthesis",
   "zh": "LLM 奖励函数合成",
   "level": "l2"
  },
  "CAP_8c970fa9": {
   "en": "Reward Constraint Injection",
   "zh": "奖励约束注入",
   "level": "l2"
  },
  "CAP_ebc8cb11": {
   "en": "Policy Configuration and Reward Composition",
   "zh": "策略配置与多任务奖励组合",
   "level": "l2"
  },
  "CAP_52c4ce8a": {
   "en": "Reward Verification and Refinement",
   "zh": "奖励验证与迭代优化",
   "level": "l2"
  },
  "CAP_2ff5bdf7": {
   "en": "NL Goal to Reward Synthesis",
   "zh": "自然语言目标到奖励函数合成",
   "level": "l3"
  },
  "CAP_4aed1292": {
   "en": "Multi-Task Reward Composition",
   "zh": "多任务奖励组合",
   "level": "l3"
  },
  "CAP_dc20ec6c": {
   "en": "Reward Code Verification",
   "zh": "奖励代码验证",
   "level": "l3"
  },
  "CAP_42a63530": {
   "en": "Natural Voice Synthesis",
   "zh": "自然语音合成",
   "level": "l2"
  },
  "CAP_fd7aa746": {
   "en": "Neural Codec Discretization",
   "zh": "神经音频编解码离散化",
   "level": "l3"
  },
  "CAP_a530e440": {
   "en": "Autoregressive Acoustic Token Generation",
   "zh": "自回归声学 token 生成",
   "level": "l3"
  },
  "CAP_9408b71b": {
   "en": "Non-Autoregressive Residual Completion",
   "zh": "非自回归残差补全",
   "level": "l3"
  },
  "CAP_01a72c3c": {
   "en": "Cross-Lingual Timbre Transfer",
   "zh": "跨语言音色迁移",
   "level": "l3"
  },
  "CAP_46b5808f": {
   "en": "Supervised Semantic Token Extraction",
   "zh": "监督语义 token 提取",
   "level": "l3"
  },
  "CAP_084f71d9": {
   "en": "Conditional Flow Matching Acoustic Synthesis",
   "zh": "条件流匹配声学合成",
   "level": "l3"
  },
  "CAP_eec5a2e7": {
   "en": "Lightweight Diffusion Transformer Zero-Shot Synthesis",
   "zh": "轻量扩散 Transformer 零样本合成",
   "level": "l3"
  },
  "CAP_92c9583c": {
   "en": "Non-Autoregressive Diffusion Flow TTS Synthesis",
   "zh": "非自回归扩散流匹配语音合成",
   "level": "l2"
  },
  "CAP_faead242": {
   "en": "Continuous Speech Codec",
   "zh": "连续语音编解码",
   "level": "l3"
  },
  "CAP_e23da3e6": {
   "en": "Factorized Attribute Codec",
   "zh": "属性分解编解码",
   "level": "l3"
  },
  "CAP_087f9ec8": {
   "en": "Finite Scalar Quantization Speech Tokenizer",
   "zh": "有限标量量化语音分词器",
   "level": "l3"
  },
  "CAP_3c3ec1da": {
   "en": "Text Representation Refiner",
   "zh": "文本表征精炼",
   "level": "l3"
  },
  "CAP_aa24dd4b": {
   "en": "Speech Prompting In-Context Learning",
   "zh": "语音提示上下文学习",
   "level": "l3"
  },
  "CAP_b687c0e6": {
   "en": "Flow Matching DiT Generator",
   "zh": "流匹配扩散 Transformer 生成器",
   "level": "l3"
  },
  "CAP_86ffd4a8": {
   "en": "Chunk-aware Causal Flow Matching",
   "zh": "块感知因果流匹配",
   "level": "l3"
  },
  "CAP_b79192d2": {
   "en": "End-to-End Spoken Dialogue",
   "zh": "端到端语音对话",
   "level": "l2"
  },
  "CAP_be955edf": {
   "en": "End-to-End Speech-to-Speech Generation",
   "zh": "端到端语音到语音生成",
   "level": "l3"
  },
  "CAP_895b10d2": {
   "en": "Zero-Shot Voice Cloning",
   "zh": "零样本语音克隆",
   "level": "l3"
  },
  "CAP_4d63d7ef": {
   "en": "Full-Duplex Interaction Management",
   "zh": "全双工交互管理",
   "level": "l3"
  },
  "CAP_21cb9ca0": {
   "en": "Emotional Expressiveness Control",
   "zh": "情感表现力控制",
   "level": "l3"
  },
  "CAP_c5e073a4": {
   "en": "Multilingual Code-Switching Synthesis",
   "zh": "多语种语码转换合成",
   "level": "l3"
  },
  "CAP_1c9baeeb": {
   "en": "Low-Resource Edge Deployment",
   "zh": "低资源边缘部署",
   "level": "l3"
  },
  "CAP_d80e2762": {
   "en": "Duration and Length Modeling",
   "zh": "时长与长度建模",
   "level": "l3"
  },
  "CAP_dc8d0337": {
   "en": "Semantic Instance Segmentation (3D)",
   "zh": "三维语义实例分割",
   "level": "l3"
  },
  "CAP_f9397832": {
   "en": "Cross-Session Instance Matching",
   "zh": "跨会话实例匹配",
   "level": "l3"
  },
  "CAP_af2c4a7e": {
   "en": "Change Event Inference",
   "zh": "变化事件推理",
   "level": "l3"
  },
  "CAP_11d93767": {
   "en": "Navigation Significance Assessment",
   "zh": "导航显著性评估",
   "level": "l3"
  },
  "CAP_5dfb13e7": {
   "en": "Semantic Map Descriptor Extraction",
   "zh": "语义地图描述子提取",
   "level": "l3"
  },
  "CAP_64de6f02": {
   "en": "NeRF Scene Encoding",
   "zh": "神经辐射场场景编码",
   "level": "l3"
  },
  "CAP_63612ad0": {
   "en": "View-Consistent Anomaly Scoring",
   "zh": "视角一致异常评分",
   "level": "l3"
  },
  "CAP_7a1e6014": {
   "en": "Multi-View Change Verification",
   "zh": "多视角变化确认",
   "level": "l3"
  },
  "CAP_624d705a": {
   "en": "Self-Supervised Environment Representation Learning",
   "zh": "自监督环境表征学习",
   "level": "l3"
  },
  "CAP_58ced429": {
   "en": "Real-Time Implicit Mapping",
   "zh": "实时隐式建图",
   "level": "l3"
  },
  "CAP_4c677034": {
   "en": "NeRF-Based Change Representation",
   "zh": "基于 NeRF 的变化表示",
   "level": "l3"
  },
  "CAP_9cbd11ad": {
   "en": "Object Descriptor Change Verification",
   "zh": "物体级描述符变化核验",
   "level": "l3"
  },
  "CAP_aabed00b": {
   "en": "Active Change Verification Planning",
   "zh": "主动变化验证规划",
   "level": "l3"
  },
  "CAP_7cb92fba": {
   "en": "IRL Etiquette Data & Feature Engineering",
   "zh": "逆强化学习礼仪数据采集与特征工程",
   "level": "l2"
  },
  "CAP_e09053d4": {
   "en": "Etiquette Feature Engineering",
   "zh": "礼仪特征工程",
   "level": "l3"
  },
  "CAP_091271fc": {
   "en": "IRL Reward & Policy Training",
   "zh": "逆强化学习奖励推断与策略训练",
   "level": "l2"
  },
  "CAP_0e3999e3": {
   "en": "IRL Etiquette Reward Inference",
   "zh": "逆强化学习礼仪奖励推断",
   "level": "l3"
  },
  "CAP_0edbe988": {
   "en": "Etiquette Policy Training",
   "zh": "礼仪策略训练",
   "level": "l3"
  },
  "CAP_0f1d8d79": {
   "en": "IRL Policy Deployment & Adaptation",
   "zh": "逆强化学习策略部署与适应",
   "level": "l2"
  },
  "CAP_73fe7d47": {
   "en": "Online Etiquette Adaptation",
   "zh": "在线礼仪适应",
   "level": "l3"
  },
  "CAP_7069e6e3": {
   "en": "LLM Semantic Etiquette Planning",
   "zh": "大语言模型语义礼仪规划",
   "level": "l2"
  },
  "CAP_54e8c52d": {
   "en": "Semantic Scene Etiquette Inference",
   "zh": "语义场景礼仪推理",
   "level": "l3"
  },
  "CAP_32711e70": {
   "en": "Etiquette Constraint Parameterization",
   "zh": "礼仪约束参数化",
   "level": "l3"
  },
  "CAP_934d4459": {
   "en": "LLM ROS Planning Interface",
   "zh": "大语言模型 ROS 规划接口",
   "level": "l3"
  },
  "CAP_f346cece": {
   "en": "Predictive Uncertainty Failure Detection",
   "zh": "预测性不确定性故障检测",
   "level": "l2"
  },
  "CAP_ef774152": {
   "en": "Uncertainty-aware Policy Inference",
   "zh": "不确定性感知策略推断",
   "level": "l3"
  },
  "CAP_e7e1136a": {
   "en": "Predictive Collision Risk Integration",
   "zh": "预测轨迹碰撞风险积分",
   "level": "l3"
  },
  "CAP_beaa0e33": {
   "en": "Epistemic Uncertainty-guided Exploration",
   "zh": "认知不确定性引导探索",
   "level": "l3"
  },
  "CAP_5f2f8ee2": {
   "en": "Failure Response and Recovery Execution",
   "zh": "故障响应与恢复执行",
   "level": "l3"
  },
  "CAP_1d4c6f96": {
   "en": "Multimodal Anomaly Estimation",
   "zh": "多模态异常估计",
   "level": "l2"
  },
  "CAP_964cf249": {
   "en": "Failure Decision Engine",
   "zh": "故障决策引擎",
   "level": "l3"
  },
  "CAP_5bf922c9": {
   "en": "Closed-loop Failure Attribution",
   "zh": "闭环故障归因",
   "level": "l2"
  },
  "CAP_54599e43": {
   "en": "Context Snapshot Capture",
   "zh": "故障上下文快照捕获",
   "level": "l3"
  },
  "CAP_64cc81c9": {
   "en": "Multimodal State Alignment",
   "zh": "多模态状态对齐",
   "level": "l3"
  },
  "CAP_d24e5151": {
   "en": "Failure Pattern Classification",
   "zh": "故障模式分类",
   "level": "l3"
  },
  "CAP_225d7489": {
   "en": "Intervention Strategy Mining",
   "zh": "干预策略挖掘",
   "level": "l3"
  },
  "CAP_bd1c09da": {
   "en": "Trajectory Alignment",
   "zh": "轨迹对齐",
   "level": "l2"
  },
  "CAP_d3a52273": {
   "en": "SE3 Trajectory Alignment",
   "zh": "SE3 轨迹对齐",
   "level": "l3"
  },
  "CAP_5ece0dc3": {
   "en": "Geometric Pose Error Evaluation",
   "zh": "几何位姿误差评估",
   "level": "l2"
  },
  "CAP_f5e6c65d": {
   "en": "Absolute Trajectory Error Calculation",
   "zh": "绝对轨迹误差计算",
   "level": "l3"
  },
  "CAP_f4d99ea7": {
   "en": "Navigation Error Visualization",
   "zh": "导航误差可视化",
   "level": "l2"
  },
  "CAP_0b0e3add": {
   "en": "Navigation Error Statistics",
   "zh": "导航误差统计",
   "level": "l3"
  },
  "CAP_9b710a46": {
   "en": "Trajectory Visualizer",
   "zh": "轨迹可视化器",
   "level": "l3"
  },
  "CAP_d39a783e": {
   "en": "Benchmark-based Pose Evaluation",
   "zh": "基准式位姿评估",
   "level": "l2"
  },
  "CAP_c99ff34d": {
   "en": "Multi-scene Benchmark Runner",
   "zh": "多场景基准运行器",
   "level": "l3"
  },
  "CAP_b5bde900": {
   "en": "Simulation Scene Generation",
   "zh": "仿真场景生成",
   "level": "l3"
  },
  "CAP_78928e5a": {
   "en": "Task Definition and Injection",
   "zh": "任务定义与注入",
   "level": "l2"
  },
  "CAP_f84ed67b": {
   "en": "Task Orchestration for Evaluation",
   "zh": "评估任务编排",
   "level": "l3"
  },
  "CAP_2192b1df": {
   "en": "Closed-loop Interaction",
   "zh": "闭环交互",
   "level": "l2"
  },
  "CAP_5589a0a5": {
   "en": "Simulation Fault Injection",
   "zh": "仿真故障注入",
   "level": "l3"
  },
  "CAP_364e9fcd": {
   "en": "Interactive Trajectory Logging",
   "zh": "交互轨迹记录",
   "level": "l3"
  },
  "CAP_ec417ec9": {
   "en": "Metrics and Reporting",
   "zh": "指标与报告",
   "level": "l2"
  },
  "CAP_d344b216": {
   "en": "Navigation Metrics Batch Computation",
   "zh": "导航指标批量计算",
   "level": "l3"
  },
  "CAP_96809da5": {
   "en": "Navigation Evaluation Report Generation",
   "zh": "导航评估报告生成",
   "level": "l3"
  },
  "CAP_28374715": {
   "en": "LLM Eval Intent Parsing",
   "zh": "LLM 评估意图解析",
   "level": "l3"
  },
  "CAP_342a034f": {
   "en": "Generative AI Scene Generation",
   "zh": "生成式AI场景生成",
   "level": "l2"
  },
  "CAP_5cfab8fd": {
   "en": "Diffusion Scene Layout Generation",
   "zh": "扩散场景布局生成",
   "level": "l3"
  },
  "CAP_95e66f3b": {
   "en": "LLM Scenario Code Generation",
   "zh": "LLM 场景代码生成",
   "level": "l3"
  },
  "CAP_680701e2": {
   "en": "Open-world Task Injection",
   "zh": "开放世界任务注入",
   "level": "l3"
  },
  "CAP_cf939c7a": {
   "en": "Adversarial Testing",
   "zh": "对抗性测试",
   "level": "l2"
  },
  "CAP_51453ed3": {
   "en": "Open-world System Interaction",
   "zh": "开放世界系统交互",
   "level": "l3"
  },
  "CAP_e0153594": {
   "en": "Adversarial Scenario Discovery",
   "zh": "对抗性场景发现",
   "level": "l3"
  },
  "CAP_11c98027": {
   "en": "Generative Eval Reporting",
   "zh": "生成式评估报告",
   "level": "l2"
  },
  "CAP_b9fba263": {
   "en": "Open-world Eval Report Generation",
   "zh": "开放世界评估报告生成",
   "level": "l3"
  },
  "CAP_a612e72d": {
   "en": "Classical Perception and Coordinate Transform",
   "zh": "经典感知与坐标变换",
   "level": "l2"
  },
  "CAP_8c424458": {
   "en": "Classical Costmap and Path Planning",
   "zh": "经典代价地图与路径规划",
   "level": "l2"
  },
  "CAP_e1013cd9": {
   "en": "Classical Navigation Control and Execution",
   "zh": "经典导航控制与执行",
   "level": "l2"
  },
  "CAP_2da00851": {
   "en": "Sensor Data Preprocessing and TF",
   "zh": "传感器数据预处理与坐标变换",
   "level": "l3"
  },
  "CAP_035071bd": {
   "en": "Velocity Control with Odometry Feedback",
   "zh": "带里程计反馈的速度控制",
   "level": "l3"
  },
  "CAP_15f635c7": {
   "en": "Learning-Enhanced State Estimation",
   "zh": "学习增强状态估计",
   "level": "l2"
  },
  "CAP_8eccd22e": {
   "en": "Learning-Enhanced Context and Reference",
   "zh": "学习增强上下文与参考",
   "level": "l2"
  },
  "CAP_74a4c88e": {
   "en": "Learning-Enhanced MPC Execution",
   "zh": "学习增强 MPC 执行",
   "level": "l2"
  },
  "CAP_53923d26": {
   "en": "Robot State Estimation and Fusion",
   "zh": "机器人状态估计与融合",
   "level": "l3"
  },
  "CAP_72164ee9": {
   "en": "Navigation Context Encoding",
   "zh": "导航上下文编码",
   "level": "l3"
  },
  "CAP_e76cb9a7": {
   "en": "Learning-Enhanced MPC Optimization",
   "zh": "学习增强 MPC 优化",
   "level": "l3"
  },
  "CAP_3d2a1813": {
   "en": "Residual Learning MPC Compensation",
   "zh": "残差学习 MPC 补偿",
   "level": "l3"
  },
  "CAP_3e2bcfc2": {
   "en": "Cmd Vel Publish and Monitor",
   "zh": "速度指令发布与监控",
   "level": "l3"
  },
  "CAP_fc02c8e5": {
   "en": "Semantic Understanding and Task Planning",
   "zh": "语义理解与任务规划",
   "level": "l2"
  },
  "CAP_fc6192de": {
   "en": "Semantic Grounding and Spatial Reasoning",
   "zh": "语义 Grounding 与空间推理",
   "level": "l2"
  },
  "CAP_7ab657ad": {
   "en": "Dynamic Skill Orchestration and Monitoring",
   "zh": "动态技能编排与监控",
   "level": "l2"
  },
  "CAP_7ceb21a8": {
   "en": "Context-Aware Constraint Injection",
   "zh": "上下文感知约束注入",
   "level": "l2"
  },
  "CAP_4aabd7c1": {
   "en": "LLM Nav Skill Orchestration",
   "zh": "LLM 导航技能编排",
   "level": "l3"
  },
  "CAP_d45acaf7": {
   "en": "LLM-Driven Navigation Error Recovery",
   "zh": "LLM 驱动导航错误恢复",
   "level": "l3"
  },
  "CAP_60098020": {
   "en": "Context-Adaptive Nav Constraint Injection",
   "zh": "上下文自适应导航约束注入",
   "level": "l3"
  },
  "CAP_e5cf944a": {
   "en": "Near-field EM Scene & Simulation",
   "zh": "近场电磁场景与求解",
   "level": "l2"
  },
  "CAP_f9eca690": {
   "en": "Near-field Scene Modeling",
   "zh": "近场电磁场景建模",
   "level": "l3"
  },
  "CAP_3aa87f63": {
   "en": "Near-field Full-wave Solver",
   "zh": "近场全波求解器",
   "level": "l3"
  },
  "CAP_4736ceb7": {
   "en": "Neuro-operator Training Pipeline",
   "zh": "神经算子训练流水线",
   "level": "l2"
  },
  "CAP_9d93068e": {
   "en": "Near-field Data Curation",
   "zh": "近场数据治理",
   "level": "l3"
  },
  "CAP_67021b0b": {
   "en": "Neuro-operator Training",
   "zh": "神经算子训练",
   "level": "l3"
  },
  "CAP_5c67afaf": {
   "en": "Realtime Reconstruction & SAR",
   "zh": "实时重建与安全评估",
   "level": "l2"
  },
  "CAP_40db4537": {
   "en": "Real-time Dielectric Reconstruction",
   "zh": "实时介电常数重建",
   "level": "l3"
  },
  "CAP_1b1889f0": {
   "en": "Near-field SAR Safety Evaluator",
   "zh": "近场SAR安全评估",
   "level": "l3"
  },
  "CAP_d1b8571d": {
   "en": "Near-field Scattering Simulation Phase",
   "zh": "近场散射仿真阶段",
   "level": "l2"
  },
  "CAP_58efff0d": {
   "en": "Near-field Scattering Simulation",
   "zh": "近场散射仿真",
   "level": "l3"
  },
  "CAP_e48e423f": {
   "en": "Diffraction Tomography & Tactile Mapping",
   "zh": "衍射层析与触觉映射",
   "level": "l2"
  },
  "CAP_ed1c254d": {
   "en": "Diffraction Tomography Reconstruction",
   "zh": "衍射层析重建",
   "level": "l3"
  },
  "CAP_65916502": {
   "en": "EM Tactile Feature Mapping",
   "zh": "电磁-触觉特征映射",
   "level": "l3"
  },
  "CAP_0f3983a4": {
   "en": "SAR Safety & Tactile Fusion",
   "zh": "SAR安全与触觉融合",
   "level": "l2"
  },
  "CAP_1fe6a599": {
   "en": "Human SAR Safety Evaluation",
   "zh": "人体SAR安全评估",
   "level": "l3"
  },
  "CAP_5aa0f2be": {
   "en": "Tactile Safety Fusion",
   "zh": "触觉安全融合",
   "level": "l3"
  },
  "CAP_b3f3a591": {
   "en": "EM-Visual Multimodal Frontend",
   "zh": "电磁-视觉多模态前端",
   "level": "l2"
  },
  "CAP_e305e55e": {
   "en": "Differentiable Near-field EM Simulation",
   "zh": "可微近场电磁仿真",
   "level": "l3"
  },
  "CAP_6f60127b": {
   "en": "Cross-modal Association & Joint Optimization",
   "zh": "跨模态关联与联合优化",
   "level": "l2"
  },
  "CAP_e8776eef": {
   "en": "EM-Visual Factor Graph Optimization",
   "zh": "电磁-视觉因子图优化",
   "level": "l3"
  },
  "CAP_881df2e6": {
   "en": "EM-Visual Temporal Calibration",
   "zh": "电磁-视觉时间标定",
   "level": "l3"
  },
  "CAP_fe03c3f5": {
   "en": "EM Mapping & Fallback",
   "zh": "电磁建图与降级",
   "level": "l2"
  },
  "CAP_9d715227": {
   "en": "Near-field SAR Mapping",
   "zh": "近场SAR建图",
   "level": "l3"
  },
  "CAP_72541126": {
   "en": "EM Degraded Visual SLAM Fallback",
   "zh": "电磁降级视觉SLAM",
   "level": "l3"
  },
  "CAP_e2b52d28": {
   "en": "Multi-Task Gradient Conflict Negative-Transfer Prevention",
   "zh": "多任务梯度冲突负迁移预防",
   "level": "l2"
  },
  "CAP_70dbc53d": {
   "en": "MTAN Feature-Level Attention Selection",
   "zh": "MTAN 特征级注意力选择",
   "level": "l3"
  },
  "CAP_aef95ded": {
   "en": "Task-Priority Gradient Scheduling",
   "zh": "任务优先级梯度调度",
   "level": "l3"
  },
  "CAP_d8fcf967": {
   "en": "LLM Policy Hallucination Suppression and Physical Alignment",
   "zh": "大模型策略幻觉抑制与物理对齐",
   "level": "l2"
  },
  "CAP_11a6a58f": {
   "en": "Physical Commonsense Verification",
   "zh": "物理常识校验",
   "level": "l3"
  },
  "CAP_8f8a22c2": {
   "en": "Task Relevance Gating",
   "zh": "任务相关性门控",
   "level": "l3"
  },
  "CAP_768e3925": {
   "en": "Gradient Filtering from Verified Samples",
   "zh": "基于验证样本的梯度过滤",
   "level": "l3"
  },
  "CAP_ad5ef6a3": {
   "en": "Multi-Task Shared Backbone Initialization",
   "zh": "多任务共享骨干初始化",
   "level": "l3"
  },
  "CAP_48754c4e": {
   "en": "Multi-Task Joint Training Loop",
   "zh": "多任务联合训练循环",
   "level": "l3"
  },
  "CAP_a7fe7e50": {
   "en": "Encrypted Traffic Spatiotemporal Anomaly Detection",
   "zh": "加密流量时空异常检测",
   "level": "l2"
  },
  "CAP_8454e962": {
   "en": "Encrypted Traffic Feature Extraction",
   "zh": "加密流量特征提取",
   "level": "l3"
  },
  "CAP_00e36646": {
   "en": "Spatiotemporal Anomaly Detection Modeling",
   "zh": "时空异常检测建模",
   "level": "l3"
  },
  "CAP_0c4026a0": {
   "en": "Real-time Anomaly Scoring",
   "zh": "实时异常评分",
   "level": "l3"
  },
  "CAP_2389f356": {
   "en": "Alert Aggregation and Root Cause Hinting",
   "zh": "告警聚合与根因提示",
   "level": "l3"
  },
  "CAP_40d48dd4": {
   "en": "Mission Graph Online Learning",
   "zh": "图在线增量学习",
   "level": "l3"
  },
  "CAP_9f8ff370": {
   "en": "Online Continual Adaptive NIDS",
   "zh": "在线持续自适应入侵检测",
   "level": "l2"
  },
  "CAP_b2eed88e": {
   "en": "Online Feature Extraction",
   "zh": "在线流式特征提取",
   "level": "l3"
  },
  "CAP_848c1b6c": {
   "en": "Concept Drift Detection",
   "zh": "概念漂移检测",
   "level": "l3"
  },
  "CAP_c84b48ae": {
   "en": "Incremental Hoeffding Tree Update",
   "zh": "增量Hoeffding树更新",
   "level": "l3"
  },
  "CAP_105c0fda": {
   "en": "Open-set Anomaly Detection",
   "zh": "开集异常检测",
   "level": "l3"
  },
  "CAP_c959a3ec": {
   "en": "Visual Perception & Semantic Understanding",
   "zh": "视觉感知与语义理解",
   "level": "l2"
  },
  "CAP_79ec774c": {
   "en": "Zone-Network Provisioning",
   "zh": "物理-网络区域供给",
   "level": "l2"
  },
  "CAP_f9f5c4bd": {
   "en": "Zone-Network Mapping",
   "zh": "物理-网络区域映射",
   "level": "l3"
  },
  "CAP_c7fda21a": {
   "en": "Open-Vocabulary Navigation & Verification",
   "zh": "开放词汇导航与验证",
   "level": "l2"
  },
  "CAP_19edce64": {
   "en": "Neural Scene Reconstruction",
   "zh": "神经场景重建",
   "level": "l2"
  },
  "CAP_69efa58c": {
   "en": "Occupancy Grid Pipeline",
   "zh": "占用网格提取",
   "level": "l2"
  },
  "CAP_debde7bd": {
   "en": "Occupancy Grid Extraction",
   "zh": "占用网格提取",
   "level": "l3"
  },
  "CAP_db55ae5d": {
   "en": "Geometric Region Segmentation",
   "zh": "几何区域分割",
   "level": "l3"
  },
  "CAP_b88fef25": {
   "en": "NeRF Uncertainty Estimation",
   "zh": "NeRF 不确定性估计",
   "level": "l3"
  },
  "CAP_be34308b": {
   "en": "Spatial Zone Provisioning",
   "zh": "空间安全区域映射",
   "level": "l2"
  },
  "CAP_f5ccff86": {
   "en": "Spatial Security Zone Mapping",
   "zh": "空间安全区域映射",
   "level": "l3"
  },
  "CAP_241a4069": {
   "en": "Hardware-Aware Neural Architecture Search",
   "zh": "硬件感知神经架构搜索",
   "level": "l2"
  },
  "CAP_a73824e1": {
   "en": "Hardware-Aware Latency Optimized Search",
   "zh": "硬件感知延迟优化搜索",
   "level": "l3"
  },
  "CAP_813ee608": {
   "en": "Hardware-Aware Memory Constrained Search",
   "zh": "硬件感知内存受限搜索",
   "level": "l3"
  },
  "CAP_38220452": {
   "en": "Once-for-All Supernet Training",
   "zh": "一次训练全部署超网训练",
   "level": "l3"
  },
  "CAP_f30f28cc": {
   "en": "Differentiable Hardware-Aware Search",
   "zh": "可微分硬件感知搜索",
   "level": "l3"
  },
  "CAP_4d73281f": {
   "en": "Multi-Hardware Co-Search",
   "zh": "多硬件协同搜索",
   "level": "l3"
  },
  "CAP_44bdc607": {
   "en": "Mixed-Precision Joint Search",
   "zh": "混合精度联合搜索",
   "level": "l2"
  },
  "CAP_cd7fa0f8": {
   "en": "Mixed-Precision Joint Supernet Construction",
   "zh": "混合精度联合超网构建",
   "level": "l3"
  },
  "CAP_a2885eb7": {
   "en": "Mixed-Precision Differentiable Joint Search",
   "zh": "混合精度可微分联合搜索",
   "level": "l3"
  },
  "CAP_de29dc36": {
   "en": "Mixed-Precision RL Joint Search",
   "zh": "混合精度强化学习联合搜索",
   "level": "l3"
  },
  "CAP_5227ae37": {
   "en": "Hardware Latency Lookup Table Construction",
   "zh": "硬件延迟查找表构建",
   "level": "l3"
  },
  "CAP_d8b111b7": {
   "en": "Pareto Front Selection",
   "zh": "帕累托前沿筛选",
   "level": "l3"
  },
  "CAP_a436036c": {
   "en": "Dynamic Elastic Supernet Deployment",
   "zh": "动态弹性超网部署",
   "level": "l2"
  },
  "CAP_30d37466": {
   "en": "Elastic Search Space Construction",
   "zh": "弹性搜索空间构建",
   "level": "l3"
  },
  "CAP_5bf8d1c1": {
   "en": "Accuracy Predictor Training",
   "zh": "精度预测器训练",
   "level": "l3"
  },
  "CAP_dd1a191f": {
   "en": "Runtime Elastic Search",
   "zh": "运行时弹性搜索",
   "level": "l3"
  },
  "CAP_1052b978": {
   "en": "Navigation Value Field Construction",
   "zh": "导航价值场构建",
   "level": "l2"
  },
  "CAP_dc0f202c": {
   "en": "Navigation Value Field Data Generation",
   "zh": "导航价值场数据生成",
   "level": "l3"
  },
  "CAP_2e10fc27": {
   "en": "Visual-Motor Representation Learning",
   "zh": "视觉-运动表示学习",
   "level": "l2"
  },
  "CAP_2a9d48cb": {
   "en": "Visual-Motor Joint Encoding",
   "zh": "视觉-运动联合编码",
   "level": "l3"
  },
  "CAP_0faf5eec": {
   "en": "Contrastive State Embedding",
   "zh": "对比状态嵌入",
   "level": "l3"
  },
  "CAP_ad4553e5": {
   "en": "Multi-Frame Temporal Fusion",
   "zh": "多帧时序融合",
   "level": "l3"
  },
  "CAP_bedbcfd0": {
   "en": "Implicit Value Function Learning",
   "zh": "隐式价值函数学习",
   "level": "l2"
  },
  "CAP_96d9b7ae": {
   "en": "Voxel Value Prediction",
   "zh": "体素价值预测",
   "level": "l3"
  },
  "CAP_4616f908": {
   "en": "Occupancy Auxiliary Learning",
   "zh": "占用辅助学习",
   "level": "l3"
  },
  "CAP_4279957f": {
   "en": "Online Planning Integration",
   "zh": "在线规划集成",
   "level": "l2"
  },
  "CAP_e66994f8": {
   "en": "Cost-to-Go Calibration",
   "zh": "代价校准",
   "level": "l3"
  },
  "CAP_0e61440e": {
   "en": "Diffusion Feasibility Model Training",
   "zh": "扩散可行性模型训练",
   "level": "l2"
  },
  "CAP_d64432d9": {
   "en": "Feasibility Mask Generation Capability",
   "zh": "可行性掩码生成能力",
   "level": "l2"
  },
  "CAP_4006558d": {
   "en": "Feasibility Mask Generation",
   "zh": "可行性掩码生成",
   "level": "l3"
  },
  "CAP_d552a68c": {
   "en": "Diffusion Heuristic Integration Capability",
   "zh": "扩散启发式集成能力",
   "level": "l2"
  },
  "CAP_4fd31832": {
   "en": "Diffusion Heuristic Integration",
   "zh": "扩散启发式集成",
   "level": "l3"
  },
  "CAP_dd9e465f": {
   "en": "Safe Online Planning Inference",
   "zh": "安全在线规划推理",
   "level": "l2"
  },
  "CAP_8707d2ab": {
   "en": "Conservative Safety Filter",
   "zh": "保守安全过滤",
   "level": "l3"
  },
  "CAP_736c36af": {
   "en": "LLM-Guided Task Decomposition",
   "zh": "LLM 引导的任务分解",
   "level": "l2"
  },
  "CAP_35a0db60": {
   "en": "LLM Decomposition Verification",
   "zh": "LLM 分解验证",
   "level": "l3"
  },
  "CAP_5516b2ce": {
   "en": "Subtask Neural Heuristic",
   "zh": "子任务神经启发式",
   "level": "l2"
  },
  "CAP_816710d3": {
   "en": "Subtask Neural Heuristic Training",
   "zh": "子任务神经启发式训练",
   "level": "l3"
  },
  "CAP_93b8987e": {
   "en": "Hybrid Heuristic Composition Capability",
   "zh": "混合启发式组合能力",
   "level": "l2"
  },
  "CAP_b1aff334": {
   "en": "Hybrid Heuristic Composition",
   "zh": "混合启发式组合",
   "level": "l3"
  },
  "CAP_4326e406": {
   "en": "Static NeRF Reconstruction",
   "zh": "静态场景神经辐射场重建",
   "level": "l2"
  },
  "CAP_a9a15c91": {
   "en": "Static Scene Implicit Modeling",
   "zh": "静态场景隐式建模",
   "level": "l3"
  },
  "CAP_b173876b": {
   "en": "Geometry Extraction from Radiance Field",
   "zh": "辐射场几何提取",
   "level": "l3"
  },
  "CAP_b282011f": {
   "en": "Dynamic NeRF Reconstruction",
   "zh": "动态场景神经辐射场重建",
   "level": "l2"
  },
  "CAP_80da9223": {
   "en": "Dynamic NeRF Deformation Field",
   "zh": "动态神经辐射场形变场",
   "level": "l3"
  },
  "CAP_b32b17f8": {
   "en": "Spatiotemporal Encoding 4D",
   "zh": "4D时空编码",
   "level": "l3"
  },
  "CAP_d7ebd147": {
   "en": "Temporal Interpolation Extrapolation",
   "zh": "时域插值与外推",
   "level": "l3"
  },
  "CAP_cb3ff794": {
   "en": "Canonical Space Construction",
   "zh": "规范空间构建",
   "level": "l3"
  },
  "CAP_1b125c3e": {
   "en": "Ambient Space Slicing",
   "zh": "超空间切片",
   "level": "l3"
  },
  "CAP_ba595076": {
   "en": "Dynamic Volume Rendering",
   "zh": "动态体渲染",
   "level": "l3"
  },
  "CAP_f911bc75": {
   "en": "Spatiotemporal Novel View Synthesis",
   "zh": "时空新视角合成",
   "level": "l3"
  },
  "CAP_1ac7245b": {
   "en": "Editable Dynamic Gaussian Scene",
   "zh": "可编辑动态高斯场景",
   "level": "l2"
  },
  "CAP_d3b887ef": {
   "en": "Gaussian Deformation Field",
   "zh": "高斯形变场",
   "level": "l3"
  },
  "CAP_b7c6778b": {
   "en": "Sparse Control Point Motion",
   "zh": "稀疏控制点运动",
   "level": "l3"
  },
  "CAP_baae9dc6": {
   "en": "Gaussian Splatting Render",
   "zh": "高斯泼溅渲染",
   "level": "l3"
  },
  "CAP_da374660": {
   "en": "Motion Editing",
   "zh": "运动编辑",
   "level": "l3"
  },
  "CAP_1a4a1795": {
   "en": "Temporal Logic Specification",
   "zh": "时序逻辑规约形式化",
   "level": "l2"
  },
  "CAP_f28f3b57": {
   "en": "Symbolic Environment Abstraction",
   "zh": "符号化环境抽象",
   "level": "l2"
  },
  "CAP_a027daec": {
   "en": "Perception to Symbolic Abstraction",
   "zh": "感知到符号抽象",
   "level": "l3"
  },
  "CAP_f38bf7f7": {
   "en": "Neural Strategy Synthesis",
   "zh": "神经策略合成",
   "level": "l2"
  },
  "CAP_1917784b": {
   "en": "Symbolic Strategy Verification",
   "zh": "符号策略验证",
   "level": "l2"
  },
  "CAP_6120d40a": {
   "en": "Formal Safety Certificate Verification",
   "zh": "形式安全证书验证",
   "level": "l2"
  },
  "CAP_b99ffd4c": {
   "en": "Neural Lyapunov Function Learning",
   "zh": "神经 Lyapunov 函数学习",
   "level": "l3"
  },
  "CAP_90528e4a": {
   "en": "Specification-Code Co-generation & Autoformalization",
   "zh": "规范-代码协同生成与自动形式化",
   "level": "l2"
  },
  "CAP_fe24ca76": {
   "en": "Natural Language Requirement Autoformalization",
   "zh": "自然语言需求自动形式化",
   "level": "l3"
  },
  "CAP_c69cb321": {
   "en": "Hoare-style Contract Synthesis",
   "zh": "Hoare 式契约合成",
   "level": "l3"
  },
  "CAP_7b3d851f": {
   "en": "Dafny/ITP Consistency Verification",
   "zh": "Dafny/ITP 一致性验证",
   "level": "l3"
  },
  "CAP_8e7d95aa": {
   "en": "Symbolic-Simulation Temporal Verification",
   "zh": "符号模拟时序验证",
   "level": "l3"
  },
  "CAP_99ef08c0": {
   "en": "Certificate SMT Verification",
   "zh": "证书 SMT 形式化验证",
   "level": "l3"
  },
  "CAP_f3b9f994": {
   "en": "Event Preprocessing Denoising Alignment",
   "zh": "事件预处理去噪与对齐",
   "level": "l2"
  },
  "CAP_eb969fc1": {
   "en": "Event Preprocessing Slicing Accumulation",
   "zh": "事件预处理切片与累积",
   "level": "l2"
  },
  "CAP_7ebc24d3": {
   "en": "Event Preprocessing Normalization",
   "zh": "事件预处理归一化",
   "level": "l2"
  },
  "CAP_4e276b30": {
   "en": "Event Temporal Slicing",
   "zh": "事件流时间切片",
   "level": "l3"
  },
  "CAP_437018b1": {
   "en": "Event Frame Normalization",
   "zh": "事件帧归一化",
   "level": "l3"
  },
  "CAP_4801d991": {
   "en": "Memristive Analog Encoding",
   "zh": "忆阻器模拟域编码",
   "level": "l2"
  },
  "CAP_fd67187b": {
   "en": "Event-driven Readout and Reduction",
   "zh": "事件驱动读出与降维",
   "level": "l2"
  },
  "CAP_35c6f3c0": {
   "en": "Memristive Spatiotemporal Encoding",
   "zh": "忆阻器时空编码",
   "level": "l3"
  },
  "CAP_9468e4c3": {
   "en": "Online Kernel Adaptation",
   "zh": "忆阻器在线核自适应",
   "level": "l3"
  },
  "CAP_3405fca4": {
   "en": "Event-driven Dimensionality Reduction",
   "zh": "事件驱动降维",
   "level": "l3"
  },
  "CAP_536e4a18": {
   "en": "Learnable Event Representation",
   "zh": "可学习事件表征",
   "level": "l2"
  },
  "CAP_8450aa57": {
   "en": "EST Differentiable Event-to-Tensor Encoding",
   "zh": "EST可微分事件→网格张量编码",
   "level": "l3"
  },
  "CAP_e634dcc3": {
   "en": "Matrix-LSTM Event Surface Encoding",
   "zh": "Matrix-LSTM可学习事件面编码",
   "level": "l3"
  },
  "CAP_1c180150": {
   "en": "AEGNN Asynchronous Event Graph Encoding",
   "zh": "AEGNN异步事件图表征编码",
   "level": "l3"
  },
  "CAP_710257fd": {
   "en": "Semparse Logic Exec",
   "zh": "语义解析-逻辑执行",
   "level": "l2"
  },
  "CAP_2bd42c2f": {
   "en": "NL Query Normalization",
   "zh": "自然语言查询规范化",
   "level": "l3"
  },
  "CAP_01b47415": {
   "en": "NL to SPARQL Translation",
   "zh": "自然语言转SPARQL",
   "level": "l3"
  },
  "CAP_a0bd99ef": {
   "en": "NL to Prolog Program Synthesis",
   "zh": "自然语言转Prolog程序合成",
   "level": "l3"
  },
  "CAP_7f609a2d": {
   "en": "Logical Form Verification and Repair",
   "zh": "逻辑形式验证与修复",
   "level": "l3"
  },
  "CAP_f6b76d78": {
   "en": "Symbolic Execution with Explanation Trace",
   "zh": "带解释轨迹的符号执行",
   "level": "l3"
  },
  "CAP_98ddb5dd": {
   "en": "Closed-Loop Result Explanation Generation",
   "zh": "闭环结果解释生成",
   "level": "l3"
  },
  "CAP_c9604d4a": {
   "en": "Generative Physical Simulation Verification",
   "zh": "生成-物理仿真校验",
   "level": "l2"
  },
  "CAP_b369e809": {
   "en": "Scene to Physim Params",
   "zh": "场景到物理仿真参数化",
   "level": "l3"
  },
  "CAP_42b133fc": {
   "en": "Physim Trajectory Analysis",
   "zh": "物理轨迹符号化分析",
   "level": "l3"
  },
  "CAP_6b86a3f4": {
   "en": "Physim Consistency Check",
   "zh": "物理一致性校验",
   "level": "l3"
  },
  "CAP_e1f7e432": {
   "en": "Physim Feedback Generation",
   "zh": "物理仿真反馈生成",
   "level": "l3"
  },
  "CAP_4933ffa3": {
   "en": "Physim Scene Cache",
   "zh": "物理场景缓存检索",
   "level": "l3"
  },
  "CAP_10e88a21": {
   "en": "KG-based Counterfactual Generation",
   "zh": "基于知识图谱的反事实生成",
   "level": "l3"
  },
  "CAP_138512ba": {
   "en": "Counterfactual Commonsense Inference",
   "zh": "反事实常识推理",
   "level": "l3"
  },
  "CAP_93dd14e7": {
   "en": "Symbolic Consistency Verification",
   "zh": "符号一致性验证",
   "level": "l3"
  },
  "CAP_fb409c3f": {
   "en": "Geometric Frontier-based Exploration",
   "zh": "几何前沿快速探索",
   "level": "l2"
  },
  "CAP_f406164d": {
   "en": "Occupancy Grid Maintenance",
   "zh": "占据栅格地图维护",
   "level": "l3"
  },
  "CAP_0250bd5c": {
   "en": "Frontier Detection (2D)",
   "zh": "2D 前沿检测与聚类",
   "level": "l3"
  },
  "CAP_360ac974": {
   "en": "Frontier Detection (3D OctoMap)",
   "zh": "3D 前沿检测与聚类",
   "level": "l3"
  },
  "CAP_b487da81": {
   "en": "Greedy NBV Frontier Selection",
   "zh": "贪婪下一最佳视图选择",
   "level": "l3"
  },
  "CAP_8b05bf78": {
   "en": "Multi-Robot Frontier Assignment",
   "zh": "多机器人前沿分配",
   "level": "l3"
  },
  "CAP_a29e752f": {
   "en": "Exploration Motion Execution",
   "zh": "探索路径规划与执行",
   "level": "l3"
  },
  "CAP_45ccebdc": {
   "en": "Probabilistic Occupancy Information-Gain NBV",
   "zh": "概率占据信息增益 NBV",
   "level": "l2"
  },
  "CAP_8d7bdedf": {
   "en": "Probabilistic Occupancy Map Maintenance",
   "zh": "概率占据地图维护",
   "level": "l3"
  },
  "CAP_86e552dd": {
   "en": "Raycasting Visibility Determination",
   "zh": "光线投射可见性确定",
   "level": "l3"
  },
  "CAP_8806757d": {
   "en": "Surface-focused IG Computation",
   "zh": "表面聚焦信息增益计算",
   "level": "l3"
  },
  "CAP_8a6a7f1e": {
   "en": "Receding Horizon NBV Optimization",
   "zh": "滚动时域 NBV 优化",
   "level": "l3"
  },
  "CAP_3327e625": {
   "en": "Neural Field Uncertainty NBV",
   "zh": "神经场不确定性语义感知 NBV",
   "level": "l2"
  },
  "CAP_1450e371": {
   "en": "Neural Field Modeling",
   "zh": "神经场场景建模",
   "level": "l3"
  },
  "CAP_f22afc1c": {
   "en": "Neural Field Uncertainty Quantification",
   "zh": "神经场不确定性量化",
   "level": "l3"
  },
  "CAP_079fa8cd": {
   "en": "Uncertainty-aware Information Gain",
   "zh": "不确定性感知信息增益",
   "level": "l3"
  },
  "CAP_c53c58ac": {
   "en": "Gradient-based NBV Optimization",
   "zh": "梯度 NBV 优化",
   "level": "l3"
  },
  "CAP_d8813e88": {
   "en": "Online Neural Field Incremental Update",
   "zh": "神经场在线增量更新",
   "level": "l3"
  },
  "CAP_6269bf2e": {
   "en": "Candidate Viewpoint Sampling",
   "zh": "候选视点采样",
   "level": "l3"
  },
  "CAP_1202ac7f": {
   "en": "Probabilistic Map Maintenance",
   "zh": "概率地图维护",
   "level": "l2"
  },
  "CAP_af7509f4": {
   "en": "Probabilistic TSDF Map Maintenance",
   "zh": "概率TSDF地图维护",
   "level": "l3"
  },
  "CAP_53e955a2": {
   "en": "Probabilistic Candidate Viewpoint Generation",
   "zh": "概率候选视点生成",
   "level": "l2"
  },
  "CAP_a3f227ac": {
   "en": "Probabilistic Candidate Viewpoint Sampling",
   "zh": "概率候选视点采样",
   "level": "l3"
  },
  "CAP_2873ada4": {
   "en": "GPIS Mutual Information NBV",
   "zh": "GPIS互信息NBV",
   "level": "l3"
  },
  "CAP_e916faad": {
   "en": "Cauchy-Schwarz Quadratic MI NBV",
   "zh": "柯西-施瓦茨二次互信息NBV",
   "level": "l3"
  },
  "CAP_c04da73a": {
   "en": "Bayesian Optimization for NBV",
   "zh": "基于贝叶斯优化的NBV",
   "level": "l3"
  },
  "CAP_0ce7b10d": {
   "en": "Receding Horizon Information Gathering",
   "zh": "滚动时域信息获取",
   "level": "l3"
  },
  "CAP_d2a4326f": {
   "en": "Neural Implicit NBV",
   "zh": "神经隐式表征下一最优视角规划",
   "level": "l2"
  },
  "CAP_abae8397": {
   "en": "Neural Field Training",
   "zh": "神经场训练与更新",
   "level": "l2"
  },
  "CAP_9424db4f": {
   "en": "Fisher Information NBV",
   "zh": "Fisher信息下一最优视角",
   "level": "l3"
  },
  "CAP_7592ec36": {
   "en": "SDF Uncertainty NBV",
   "zh": "SDF不确定性下一最优视角",
   "level": "l3"
  },
  "CAP_341e3fec": {
   "en": "Gaussian Splatting Uncertainty",
   "zh": "高斯泼溅不确定性",
   "level": "l3"
  },
  "CAP_95d65c89": {
   "en": "Discrete E2E VLN Instruction Encoding",
   "zh": "离散端到端VLN指令编码（阶段）",
   "level": "l2"
  },
  "CAP_498bbcb2": {
   "en": "Discrete E2E VLN Visual Encoding",
   "zh": "离散端到端VLN视觉编码（阶段）",
   "level": "l2"
  },
  "CAP_c05b4386": {
   "en": "Discrete E2E VLN Cross-modal Reasoning",
   "zh": "离散端到端VLN跨模态推理（阶段）",
   "level": "l2"
  },
  "CAP_fa6f2281": {
   "en": "Cross-modal Reasoning",
   "zh": "跨模态推理",
   "level": "l3"
  },
  "CAP_c3a19665": {
   "en": "Discrete E2E VLN Stop Decision",
   "zh": "离散端到端VLN停止判断（阶段）",
   "level": "l2"
  },
  "CAP_9d2338b1": {
   "en": "Stop Decision",
   "zh": "停止判断",
   "level": "l3"
  },
  "CAP_a936ceed": {
   "en": "Discrete E2E VLN Action Execution",
   "zh": "离散端到端VLN动作执行（阶段）",
   "level": "l2"
  },
  "CAP_e49a57c9": {
   "en": "Zero-shot OVON Instruction Parsing",
   "zh": "零样本开放词汇导航指令解析（阶段）",
   "level": "l2"
  },
  "CAP_ba3429eb": {
   "en": "NL Instruction Parsing for Nav",
   "zh": "导航指令自然语言解析",
   "level": "l3"
  },
  "CAP_ff311563": {
   "en": "Zero-shot OVON Object Proposal",
   "zh": "零样本开放词汇物体候选生成（阶段）",
   "level": "l2"
  },
  "CAP_b842806f": {
   "en": "Open Vocab Object Proposal",
   "zh": "开放词汇物体候选生成",
   "level": "l3"
  },
  "CAP_19a3dd78": {
   "en": "Zero-shot OVON Target Confirmation",
   "zh": "零样本开放词汇目标确认（阶段）",
   "level": "l2"
  },
  "CAP_ffabed9f": {
   "en": "VLM-guided Target Confirmation",
   "zh": "VLM引导目标确认",
   "level": "l3"
  },
  "CAP_54a8239b": {
   "en": "Zero-shot OVON Goal Execution",
   "zh": "零样本开放词汇导航执行（阶段）",
   "level": "l2"
  },
  "CAP_1f916298": {
   "en": "Zero-shot Nav Goal Execution",
   "zh": "零样本导航目标执行",
   "level": "l3"
  },
  "CAP_2facb028": {
   "en": "Continuous Embodied Instruction Grounding",
   "zh": "连续具身指令对齐（阶段）",
   "level": "l2"
  },
  "CAP_c70e8fe9": {
   "en": "Continuous Instruction Grounding",
   "zh": "连续指令对齐",
   "level": "l3"
  },
  "CAP_c7144527": {
   "en": "Continuous Embodied Navigation Policy",
   "zh": "连续具身导航策略（阶段）",
   "level": "l2"
  },
  "CAP_ed1e4b52": {
   "en": "Continuous Navigation Policy",
   "zh": "连续导航策略",
   "level": "l3"
  },
  "CAP_a4f8e59e": {
   "en": "Continuous Embodied Progress Monitoring",
   "zh": "连续具身进度监控（阶段）",
   "level": "l2"
  },
  "CAP_fc6f1492": {
   "en": "Progress Monitoring and Recovery",
   "zh": "进度监控与纠错",
   "level": "l3"
  },
  "CAP_f92cee33": {
   "en": "Continuous Embodied Interaction",
   "zh": "连续具身交互（阶段）",
   "level": "l2"
  },
  "CAP_b1c6b569": {
   "en": "Spatial Mutex Access Configuration",
   "zh": "空间互斥访问配置",
   "level": "l2"
  },
  "CAP_7d80958d": {
   "en": "Spatial Mutex Topic Authorization",
   "zh": "空间互斥Topic授权",
   "level": "l3"
  },
  "CAP_1973969a": {
   "en": "Deadlock Detection and Arbitration",
   "zh": "死锁检测与仲裁",
   "level": "l2"
  },
  "CAP_f35438b6": {
   "en": "Deadlock-free Resource Allocation",
   "zh": "无死锁资源分配",
   "level": "l3"
  },
  "CAP_f5a3419d": {
   "en": "Secure Stop and Recovery",
   "zh": "安全停止与恢复",
   "level": "l2"
  },
  "CAP_a7a2948f": {
   "en": "Secure Emergency Stop Authority",
   "zh": "安全急停授权",
   "level": "l3"
  },
  "CAP_1c08d52e": {
   "en": "Cross-machine Policy Sync",
   "zh": "跨主机策略同步",
   "level": "l3"
  },
  "CAP_556b9593": {
   "en": "AGV Onboarding",
   "zh": "AGV入网注册",
   "level": "l2"
  },
  "CAP_5ca31f34": {
   "en": "AGV Identity Verification",
   "zh": "AGV身份认证",
   "level": "l3"
  },
  "CAP_0a9d9804": {
   "en": "Dynamic Zone and Auction Control",
   "zh": "动态分区与拍卖控制",
   "level": "l2"
  },
  "CAP_faecc889": {
   "en": "Dynamic Zone Access Control",
   "zh": "动态区域访问控制",
   "level": "l3"
  },
  "CAP_cf6779bb": {
   "en": "Auction-based Conflict Resolution",
   "zh": "基于拍卖的冲突解决",
   "level": "l3"
  },
  "CAP_e5f907e9": {
   "en": "Secure Traffic Dispatch",
   "zh": "安全交通指令下发",
   "level": "l2"
  },
  "CAP_22316b50": {
   "en": "Secure Traffic Command Dispatch",
   "zh": "安全交通指令下发",
   "level": "l3"
  },
  "CAP_90695f62": {
   "en": "Safety Monitoring and Audit",
   "zh": "安全监控与审计",
   "level": "l2"
  },
  "CAP_630af1c5": {
   "en": "Safety Monitor Override",
   "zh": "安全监控覆盖",
   "level": "l3"
  },
  "CAP_3a74e46a": {
   "en": "Policy Audit Logging",
   "zh": "策略审计日志",
   "level": "l3"
  },
  "CAP_141c6d3b": {
   "en": "Geometric Map Building",
   "zh": "几何建图",
   "level": "l2"
  },
  "CAP_e1b41c0d": {
   "en": "Frontier Detection & Allocation",
   "zh": "前沿检测与分配",
   "level": "l2"
  },
  "CAP_77f96405": {
   "en": "Multi-robot Frontier Allocation",
   "zh": "多机器人前沿分配",
   "level": "l3"
  },
  "CAP_64631686": {
   "en": "Exploration Navigation & Node Registration",
   "zh": "探索导航与节点注册",
   "level": "l2"
  },
  "CAP_e2b87172": {
   "en": "Exploration Navigation",
   "zh": "探索导航执行",
   "level": "l3"
  },
  "CAP_1946d68f": {
   "en": "Exploration-driven Node Discovery",
   "zh": "探索驱动的节点发现",
   "level": "l3"
  },
  "CAP_4722442c": {
   "en": "Semantic-anchor Discovery Search",
   "zh": "语义锚点搜索",
   "level": "l2"
  },
  "CAP_acd6acd0": {
   "en": "Semantic-anchor Literature Search",
   "zh": "语义锚点文献搜索",
   "level": "l3"
  },
  "CAP_a7f9a442": {
   "en": "Distributed Discovery Protocols",
   "zh": "分布式发现协议",
   "level": "l2"
  },
  "CAP_becb6883": {
   "en": "Multicast Discovery",
   "zh": "组播发现",
   "level": "l3"
  },
  "CAP_6486c447": {
   "en": "DDS Peer Discovery",
   "zh": "DDS对等发现",
   "level": "l3"
  },
  "CAP_996e6ad9": {
   "en": "Discovery Server Registration",
   "zh": "发现服务器注册",
   "level": "l3"
  },
  "CAP_f36a7cba": {
   "en": "Semantic Service Match",
   "zh": "语义服务匹配",
   "level": "l3"
  },
  "CAP_88abb62f": {
   "en": "Zeroconf mDNS-SD",
   "zh": "Zeroconf服务发现",
   "level": "l3"
  },
  "CAP_ef1ac93a": {
   "en": "VLM Perception & Scene Encoding",
   "zh": "VLM感知与场景编码",
   "level": "l2"
  },
  "CAP_0d43883e": {
   "en": "VLM Task-Spatial Reasoning",
   "zh": "VLM任务-空间推理",
   "level": "l2"
  },
  "CAP_f5bd6b52": {
   "en": "VLM Task Region Identification",
   "zh": "VLM任务区域识别",
   "level": "l3"
  },
  "CAP_69305fce": {
   "en": "VLM Topology Generation & Discovery Directive",
   "zh": "VLM拓扑生成与发现指令",
   "level": "l2"
  },
  "CAP_d807be39": {
   "en": "Compute Topology Mapping",
   "zh": "计算拓扑映射",
   "level": "l3"
  },
  "CAP_119fc2c2": {
   "en": "Discovery Query Generation",
   "zh": "发现查询生成",
   "level": "l3"
  },
  "CAP_153c793c": {
   "en": "Deterministic Startup",
   "zh": "确定性启动",
   "level": "l2"
  },
  "CAP_e681ad67": {
   "en": "Dependency-aware Launcher",
   "zh": "依赖感知启动器",
   "level": "l3"
  },
  "CAP_8103162c": {
   "en": "Graceful Shutdown Handler",
   "zh": "优雅关闭处理器",
   "level": "l3"
  },
  "CAP_f9d2d06e": {
   "en": "Fault Self-healing",
   "zh": "故障自愈",
   "level": "l2"
  },
  "CAP_083f046a": {
   "en": "Fault Detection and Classification",
   "zh": "故障检测与分类",
   "level": "l3"
  },
  "CAP_a8e6ac8d": {
   "en": "Recovery Strategy Decision",
   "zh": "自愈策略决策",
   "level": "l3"
  },
  "CAP_27236035": {
   "en": "State Rollback Execution",
   "zh": "状态回退执行",
   "level": "l3"
  },
  "CAP_4f3653ff": {
   "en": "Recovery Validation and Health Check",
   "zh": "恢复验证与健康检查",
   "level": "l3"
  },
  "CAP_f4b8592d": {
   "en": "Task-driven Dynamic Topology",
   "zh": "任务驱动的动态拓扑",
   "level": "l2"
  },
  "CAP_1ed60edd": {
   "en": "Task Topology Planner",
   "zh": "任务拓扑规划器",
   "level": "l3"
  },
  "CAP_9d14e188": {
   "en": "Lifecycle Orchestrator",
   "zh": "生命周期编排器",
   "level": "l3"
  },
  "CAP_7f5c4fc6": {
   "en": "Topology Monitor",
   "zh": "拓扑监控器",
   "level": "l3"
  },
  "CAP_c99862ca": {
   "en": "QoS Adaptive Reconfigurator",
   "zh": "QoS 自适应重配置器",
   "level": "l3"
  },
  "CAP_56b34dd9": {
   "en": "Topology Rollback Manager",
   "zh": "拓扑回滚管理器",
   "level": "l3"
  },
  "CAP_26d9acdd": {
   "en": "Noise-Aware Perception",
   "zh": "噪声感知",
   "level": "l2"
  },
  "CAP_78d86d96": {
   "en": "Noise-Conditioned Generation",
   "zh": "噪声条件生成",
   "level": "l2"
  },
  "CAP_34a3ff71": {
   "en": "Noise-Adaptive Execution",
   "zh": "噪声自适应执行",
   "level": "l2"
  },
  "CAP_ac7df47b": {
   "en": "Noise Feature Extraction",
   "zh": "噪声特征提取",
   "level": "l3"
  },
  "CAP_e3ee3a0b": {
   "en": "Noise-Conditioned Behavior Generation",
   "zh": "噪声条件行为生成",
   "level": "l3"
  },
  "CAP_a0381818": {
   "en": "Etiquette-Constrained Execution",
   "zh": "礼仪约束执行",
   "level": "l3"
  },
  "CAP_e591e5e2": {
   "en": "Real-Time Noise Adaptation",
   "zh": "实时噪声自适应",
   "level": "l3"
  },
  "CAP_7b9e9192": {
   "en": "Noise-Aware State Estimation",
   "zh": "噪声感知状态估计",
   "level": "l2"
  },
  "CAP_63669c17": {
   "en": "Noise-Constrained MPC",
   "zh": "噪声约束模型预测控制",
   "level": "l2"
  },
  "CAP_d7949cbe": {
   "en": "Audio-Motion Joint Execution",
   "zh": "音频-运动联合执行",
   "level": "l2"
  },
  "CAP_d0353d31": {
   "en": "Adaptive Noise State Estimation",
   "zh": "自适应噪声状态估计",
   "level": "l3"
  },
  "CAP_fe83d73a": {
   "en": "Noise-Constrained MPC Optimization",
   "zh": "噪声约束MPC优化",
   "level": "l3"
  },
  "CAP_fef17f99": {
   "en": "Audio-Motion Joint Optimization",
   "zh": "音频-运动联合优化",
   "level": "l3"
  },
  "CAP_0a59882b": {
   "en": "Real-Time Noise Feedback Control",
   "zh": "实时噪声反馈控制",
   "level": "l3"
  },
  "CAP_e0dcfd94": {
   "en": "Uncertainty-Aware Perception",
   "zh": "不确定性感知",
   "level": "l2"
  },
  "CAP_c2f372fc": {
   "en": "Adaptive Noise Compliance",
   "zh": "自适应噪声合规",
   "level": "l2"
  },
  "CAP_63aa6ce0": {
   "en": "Uncertainty-Aware Audio-Visual State Estimation",
   "zh": "音视融合不确定性状态估计",
   "level": "l3"
  },
  "CAP_a271cdbe": {
   "en": "CVaR-Based Risk-Sensitive Policy Optimization",
   "zh": "基于CVaR的风险敏感策略优化",
   "level": "l3"
  },
  "CAP_02e1985b": {
   "en": "Adaptive Noise Compliance Strategy Switching",
   "zh": "自适应噪声合规策略切换",
   "level": "l3"
  },
  "CAP_f25f3465": {
   "en": "Speech Enhancement Frontend",
   "zh": "前端语音增强",
   "level": "l2"
  },
  "CAP_2e791f58": {
   "en": "ASR Backend Decoding",
   "zh": "后端语音识别解码",
   "level": "l2"
  },
  "CAP_7fd27768": {
   "en": "Single-channel DNN Denoising",
   "zh": "单通道深度降噪",
   "level": "l3"
  },
  "CAP_a03b3d20": {
   "en": "Acoustic Echo Cancellation",
   "zh": "声学回声消除",
   "level": "l3"
  },
  "CAP_bc8796fa": {
   "en": "Enhancement-ASR Feature Matching",
   "zh": "增强-识别特征适配",
   "level": "l3"
  },
  "CAP_f3561574": {
   "en": "Joint Enhancement-Recognition",
   "zh": "端到端联合增强-识别",
   "level": "l2"
  },
  "CAP_763923d7": {
   "en": "Multichannel Neural Beamforming",
   "zh": "多通道神经波束成形",
   "level": "l3"
  },
  "CAP_4b8e68da": {
   "en": "Streaming E2E Noise-Robust",
   "zh": "流式端到端噪声鲁棒识别",
   "level": "l3"
  },
  "CAP_69630e85": {
   "en": "Audio-Visual Robust ASR",
   "zh": "音视频融合鲁棒识别",
   "level": "l3"
  },
  "CAP_f0e991c1": {
   "en": "Self-supervised Pretrain Noise-Robust",
   "zh": "自监督预训练噪声鲁棒化",
   "level": "l3"
  },
  "CAP_e3d52819": {
   "en": "Discrete Noise-Robust Semantic Understanding",
   "zh": "离散化容噪语义理解",
   "level": "l2"
  },
  "CAP_510ec2ca": {
   "en": "Discrete Speech Tokenization",
   "zh": "离散语音令牌化",
   "level": "l3"
  },
  "CAP_e3df546b": {
   "en": "Token-level Noise Correction",
   "zh": "令牌级噪声纠错",
   "level": "l3"
  },
  "CAP_8bc18c95": {
   "en": "LLM Noise-Robust Semantic Parsing",
   "zh": "LLM 容错语义解析",
   "level": "l3"
  },
  "CAP_b94faf2b": {
   "en": "Confidence-based Rejection",
   "zh": "置信度拒识",
   "level": "l3"
  },
  "CAP_7664aff1": {
   "en": "Microphone Configuration Routing",
   "zh": "麦克风配置路由",
   "level": "l3"
  },
  "CAP_c0dd2515": {
   "en": "Auto Gain Control",
   "zh": "自动增益控制",
   "level": "l3"
  },
  "CAP_218c4e9a": {
   "en": "Acoustic Feature Extraction",
   "zh": "声学特征提取",
   "level": "l3"
  },
  "CAP_41024695": {
   "en": "Acoustic Encoding",
   "zh": "声学编码",
   "level": "l3"
  },
  "CAP_dcd8fd0c": {
   "en": "Learnable Feature Extraction",
   "zh": "可学习特征提取",
   "level": "l3"
  },
  "CAP_b3102cfe": {
   "en": "Text Post-processing ITN",
   "zh": "文本后处理与逆归一化",
   "level": "l3"
  },
  "CAP_587a0dd8": {
   "en": "Confidence-gated Semantic Output",
   "zh": "置信度门控语义出口",
   "level": "l3"
  },
  "CAP_bb1650c7": {
   "en": "Self-Supervised Speech Pretraining",
   "zh": "自监督预训练语音表征",
   "level": "l3"
  },
  "CAP_e13f8316": {
   "en": "Noise-Aware Data Augmentation",
   "zh": "噪声感知数据增强",
   "level": "l3"
  },
  "CAP_a5e81ee9": {
   "en": "Robust Fine-Tuning Adaptation",
   "zh": "鲁棒微调适配",
   "level": "l3"
  },
  "CAP_df5f78cb": {
   "en": "Streaming Robust Inference",
   "zh": "流式鲁棒推理",
   "level": "l3"
  },
  "CAP_f7fe11dc": {
   "en": "SSL Pretraining and Noise Adaptation",
   "zh": "自监督预训练与噪声自适应",
   "level": "l2"
  },
  "CAP_653b86c6": {
   "en": "Robust Fine-Tuning Adaptation",
   "zh": "鲁棒微调适配",
   "level": "l2"
  },
  "CAP_50c79ce3": {
   "en": "Streaming Robust Inference",
   "zh": "部署流式推理",
   "level": "l2"
  },
  "CAP_35ca21e4": {
   "en": "E2E Time-Domain Speech Separation",
   "zh": "端到端时域语音分离",
   "level": "l3"
  },
  "CAP_d0579923": {
   "en": "E2E Time-Domain Speech Enhancement",
   "zh": "端到端时域语音增强",
   "level": "l3"
  },
  "CAP_ce98616d": {
   "en": "Multichannel Time-Domain Speech Enhancement",
   "zh": "多通道时域语音增强",
   "level": "l3"
  },
  "CAP_e8d43bb8": {
   "en": "Causal Real-Time Processing",
   "zh": "因果实时音频处理",
   "level": "l3"
  },
  "CAP_5cba1cd5": {
   "en": "Embedded Audio Model Compression",
   "zh": "嵌入式音频模型压缩",
   "level": "l3"
  },
  "CAP_28d1df70": {
   "en": "Time-Domain Speech Front-End",
   "zh": "时域语音前端",
   "level": "l2"
  },
  "CAP_9815d520": {
   "en": "Multichannel Time-Domain Enhancement",
   "zh": "多通道时域增强",
   "level": "l2"
  },
  "CAP_22948094": {
   "en": "Real-Time Embedded Deployment",
   "zh": "实时嵌入式部署",
   "level": "l2"
  },
  "CAP_6c75b058": {
   "en": "Self Supervised Speech Embedding Extraction",
   "zh": "自监督语音嵌入提取",
   "level": "l3"
  },
  "CAP_22af092d": {
   "en": "Audio-Visual Cross-Modal Fusion",
   "zh": "音视频跨模态融合",
   "level": "l3"
  },
  "CAP_b011be87": {
   "en": "Robust Visual AV Speech Extraction",
   "zh": "退化视觉鲁棒音视频语音提取",
   "level": "l3"
  },
  "CAP_03f06ddd": {
   "en": "Audio-Visual Target Speech Extraction",
   "zh": "音视频目标语音提取",
   "level": "l2"
  },
  "CAP_6e2e2c4f": {
   "en": "Mechatronic Residual Physics Noise Modeling",
   "zh": "机电残差物理噪声建模",
   "level": "l2"
  },
  "CAP_33b10872": {
   "en": "electromagnetic noise source modeling",
   "zh": "电磁噪声源建模",
   "level": "l3"
  },
  "CAP_a3ddcf19": {
   "en": "bearing defect noise modeling",
   "zh": "轴承缺陷冲击噪声建模",
   "level": "l3"
  },
  "CAP_f283c2b2": {
   "en": "fan aeroacoustic noise modeling",
   "zh": "风扇气动噪声建模",
   "level": "l3"
  },
  "CAP_5ec95dce": {
   "en": "multi source acoustic synthesis",
   "zh": "多源空间声合成",
   "level": "l3"
  },
  "CAP_8faa8356": {
   "en": "residual physics hybrid modeling",
   "zh": "残差物理混合建模",
   "level": "l3"
  },
  "CAP_58f6e0c3": {
   "en": "Learned Sensor Noise Modeling",
   "zh": "学习型传感器噪声建模",
   "level": "l2"
  },
  "CAP_7754641e": {
   "en": "IMU Gyroscope Denoising Network",
   "zh": "IMU 陀螺仪去噪网络",
   "level": "l3"
  },
  "CAP_37d8001a": {
   "en": "Differentiable IMU Covariance Propagation",
   "zh": "可微分 IMU 协方差传播",
   "level": "l3"
  },
  "CAP_6a4ae8e5": {
   "en": "Generative Sensor Noise Prior",
   "zh": "生成式传感器噪声先验",
   "level": "l2"
  },
  "CAP_09958467": {
   "en": "Diffusion-Based Noise Prior",
   "zh": "扩散噪声先验",
   "level": "l3"
  },
  "CAP_f69754ac": {
   "en": "Contact-Terrain Noise Modeling Pipeline",
   "zh": "接触与地形噪声建模管线",
   "level": "l2"
  },
  "CAP_860f585a": {
   "en": "Preintegrated Contact Factor Construction",
   "zh": "预积分/混合接触因子构建",
   "level": "l3"
  },
  "CAP_cfa9b319": {
   "en": "Learned Contact Event Estimation",
   "zh": "学习型接触事件估计",
   "level": "l3"
  },
  "CAP_9468436b": {
   "en": "Online Noise Covariance Adaptation",
   "zh": "在线噪声协方差自适应",
   "level": "l3"
  },
  "CAP_96f74947": {
   "en": "IMU Noise Injection",
   "zh": "IMU 噪声注入",
   "level": "l3"
  },
  "CAP_3222720d": {
   "en": "IMU Noise Modeling Pipeline",
   "zh": "IMU 噪声建模管线",
   "level": "l2"
  },
  "CAP_0fd6544f": {
   "en": "Whole-Body MPC Modeling",
   "zh": "全身MPC动力学建模",
   "level": "l2"
  },
  "CAP_21463399": {
   "en": "Direct Multiple Shooting Transcription",
   "zh": "直接多重打靶转录",
   "level": "l3"
  },
  "CAP_73bc9990": {
   "en": "Structure-Exploiting NLP Solving",
   "zh": "结构利用型NLP求解",
   "level": "l3"
  },
  "CAP_edbc5d1a": {
   "en": "Warm-Start Initialization",
   "zh": "预热启动初始化",
   "level": "l3"
  },
  "CAP_74168026": {
   "en": "NMPC Expert Data Preparation",
   "zh": "NMPC专家数据准备",
   "level": "l2"
  },
  "CAP_da27ff5a": {
   "en": "Expert Data Preprocessing",
   "zh": "专家数据预处理",
   "level": "l3"
  },
  "CAP_a2d5f044": {
   "en": "Impact Point Planning",
   "zh": "撞击点规划",
   "level": "l3"
  },
  "CAP_6bce39bf": {
   "en": "Tossing Trajectory Generation",
   "zh": "抛掷轨迹生成",
   "level": "l3"
  },
  "CAP_6effbc42": {
   "en": "High-Speed Visual Servoing for Impact",
   "zh": "面向撞击的高速视觉伺服",
   "level": "l3"
  },
  "CAP_dd5fbee2": {
   "en": "Impact Compliant Control",
   "zh": "撞击顺应力控",
   "level": "l3"
  },
  "CAP_dc0667c8": {
   "en": "Dexterous Impact Tossing",
   "zh": "灵巧撞击与抛掷",
   "level": "l2"
  },
  "CAP_4c1abfa6": {
   "en": "Gap Detection for Wedging",
   "zh": "可楔入缝隙检测",
   "level": "l3"
  },
  "CAP_10e03b73": {
   "en": "Force-Guided Wedge Insertion",
   "zh": "力引导楔入插入",
   "level": "l3"
  },
  "CAP_cd6952db": {
   "en": "Pivot Point Establishment",
   "zh": "支点建立",
   "level": "l3"
  },
  "CAP_6172aa61": {
   "en": "Torque-Controlled Prying",
   "zh": "力矩控制撬动",
   "level": "l3"
  },
  "CAP_7d038941": {
   "en": "Constrained Tool Retraction",
   "zh": "约束工具退出",
   "level": "l3"
  },
  "CAP_bdfb1deb": {
   "en": "Constrained Wedging and Prying",
   "zh": "约束楔入与撬动",
   "level": "l2"
  },
  "CAP_5cfa05f7": {
   "en": "IL Pretraining for Tool Use",
   "zh": "工具使用模仿预训练",
   "level": "l3"
  },
  "CAP_be1a290f": {
   "en": "VLM Reward Generation",
   "zh": "视觉语言模型奖励生成",
   "level": "l3"
  },
  "CAP_f1392276": {
   "en": "Multi-Tool Generalization",
   "zh": "多工具泛化",
   "level": "l3"
  },
  "CAP_8bbfc5db": {
   "en": "Generalist Tool Use RL",
   "zh": "通用工具使用模仿与强化学习",
   "level": "l2"
  },
  "CAP_5622c9dd": {
   "en": "Grasp Parameter Space Construction",
   "zh": "抓取参数空间构建",
   "level": "l2"
  },
  "CAP_c4c81fc4": {
   "en": "Bandit Arm Selection and Execution",
   "zh": "老虎机臂选择与执行",
   "level": "l2"
  },
  "CAP_866c2679": {
   "en": "Non-Stationary Reward Update and Adaptation",
   "zh": "非平稳奖励更新与适应",
   "level": "l2"
  },
  "CAP_5b1ebe78": {
   "en": "Grasp Parameter Discretizer",
   "zh": "抓取参数离散化器",
   "level": "l3"
  },
  "CAP_2ae58883": {
   "en": "Passive EWMA Reward Estimator",
   "zh": "被动遗忘 EWMA 奖励估计器",
   "level": "l3"
  },
  "CAP_d83370bd": {
   "en": "Sliding Window UCB Selector",
   "zh": "滑动窗口 UCB 选择器",
   "level": "l3"
  },
  "CAP_c232b9a3": {
   "en": "Non-Stationary Drift Detector",
   "zh": "非平稳漂移检测器",
   "level": "l3"
  },
  "CAP_c509d80d": {
   "en": "Active CPD Task Allocation",
   "zh": "主动变化点检测任务分配",
   "level": "l2"
  },
  "CAP_327efd50": {
   "en": "Bayesian Online Changepoint Detection",
   "zh": "贝叶斯在线变点检测",
   "level": "l3"
  },
  "CAP_de1f8a7f": {
   "en": "InfoGain Probe Selector",
   "zh": "信息增益探测选择器",
   "level": "l3"
  },
  "CAP_7a2d1dbd": {
   "en": "Human Feedback Change Confirmer",
   "zh": "人类反馈变化确认器",
   "level": "l3"
  },
  "CAP_f588ca1f": {
   "en": "Prior Injection Policy Resetter",
   "zh": "先验注入策略重置器",
   "level": "l3"
  },
  "CAP_c2761193": {
   "en": "Meta-Learning Gait Adaptation",
   "zh": "元学习步态自适应",
   "level": "l2"
  },
  "CAP_5c3ccc75": {
   "en": "Gait Parameter Discretization",
   "zh": "步态参数离散化器",
   "level": "l3"
  },
  "CAP_c761db8c": {
   "en": "Non-Stationary Reward Estimation",
   "zh": "非平稳奖励估计",
   "level": "l3"
  },
  "CAP_2352d74c": {
   "en": "Non-Stationary Bandit Selection",
   "zh": "非平稳臂选择器",
   "level": "l3"
  },
  "CAP_aee6f0b4": {
   "en": "Meta-Learning Gait Fast Adaptation",
   "zh": "元学习步态快速适应",
   "level": "l3"
  },
  "CAP_1560ddc6": {
   "en": "NDT Odometry and Mapping",
   "zh": "NDT激光里程计与建图",
   "level": "l2"
  },
  "CAP_3ffe998a": {
   "en": "NDT Initial Pose Propagation",
   "zh": "NDT初始位姿传播",
   "level": "l3"
  },
  "CAP_b8ab0a7a": {
   "en": "NDT Multi-resolution Coarse-to-Fine",
   "zh": "NDT多分辨率由粗到精匹配",
   "level": "l3"
  },
  "CAP_6ca198e3": {
   "en": "NDT Map Incremental Update",
   "zh": "NDT地图增量更新",
   "level": "l3"
  },
  "CAP_38bef027": {
   "en": "Semantic Multi-resolution NDT Localization",
   "zh": "语义多分辨率NDT定位",
   "level": "l2"
  },
  "CAP_46b681b0": {
   "en": "Semantic NDT Map Preprocessing",
   "zh": "语义NDT地图预处理",
   "level": "l3"
  },
  "CAP_acb8d723": {
   "en": "Coarse NDT Localization",
   "zh": "粗粒度NDT定位",
   "level": "l3"
  },
  "CAP_16dcdcc6": {
   "en": "Semantic Adaptive Weighting",
   "zh": "语义自适应权重计算",
   "level": "l3"
  },
  "CAP_a18cbafd": {
   "en": "Multi-resolution NDT Refinement",
   "zh": "多分辨率NDT精化定位",
   "level": "l3"
  },
  "CAP_77e582e7": {
   "en": "Learned NDT Registration",
   "zh": "学习化NDT配准",
   "level": "l2"
  },
  "CAP_2660a06c": {
   "en": "Deep Point Cloud Feature Extraction",
   "zh": "深度点云特征提取",
   "level": "l3"
  },
  "CAP_4967878a": {
   "en": "Learned NDT Correspondence",
   "zh": "学习化NDT对应关系",
   "level": "l3"
  },
  "CAP_c3e72c8e": {
   "en": "Differentiable NDT Optimizer",
   "zh": "可微NDT优化器",
   "level": "l3"
  },
  "CAP_f5d18c37": {
   "en": "End-to-End NDT Pose Regressor",
   "zh": "端到端NDT位姿回归器",
   "level": "l3"
  },
  "CAP_981d213c": {
   "en": "Point Cloud Registration Training",
   "zh": "点云配准训练",
   "level": "l3"
  },
  "CAP_1d85646a": {
   "en": "Affordance Primitive Decomposition",
   "zh": "可供性基元分解理解",
   "level": "l2"
  },
  "CAP_07dc5940": {
   "en": "Affordance Pattern Matching Synthesis",
   "zh": "基元模式匹配与序列合成",
   "level": "l2"
  },
  "CAP_0cd09c65": {
   "en": "Tool Invocation Self-Correction",
   "zh": "调用执行与自我修正",
   "level": "l2"
  },
  "CAP_a6e51b24": {
   "en": "Tool Description Parsing",
   "zh": "工具描述解析",
   "level": "l3"
  },
  "CAP_a9571d83": {
   "en": "Affordance Primitive Extraction",
   "zh": "可供性基元提取",
   "level": "l3"
  },
  "CAP_8a25d694": {
   "en": "Primitive Pattern Matching",
   "zh": "基元模式匹配",
   "level": "l3"
  },
  "CAP_0fcbe4ed": {
   "en": "Constrained Call Sequence Synthesis",
   "zh": "约束调用序列合成",
   "level": "l3"
  },
  "CAP_dd81a229": {
   "en": "Causal Trace & Graph",
   "zh": "因果轨迹采集与建图",
   "level": "l2"
  },
  "CAP_0835c098": {
   "en": "Replanning Path Generation",
   "zh": "重规划路径生成",
   "level": "l2"
  },
  "CAP_0c0b1081": {
   "en": "Replan Execution & Validation",
   "zh": "重规划执行与验证",
   "level": "l2"
  },
  "CAP_197c8655": {
   "en": "Causal Trace Collection",
   "zh": "因果轨迹采集",
   "level": "l3"
  },
  "CAP_c63c1284": {
   "en": "Replanning Strategy Selection",
   "zh": "重规划策略选择",
   "level": "l3"
  },
  "CAP_2717ca4a": {
   "en": "Parameter Rewriting",
   "zh": "参数修正重写",
   "level": "l3"
  },
  "CAP_d5564ada": {
   "en": "Execution Result Validation",
   "zh": "执行结果验证",
   "level": "l3"
  },
  "CAP_1e6ab937": {
   "en": "Semantic Parsing & Modeling",
   "zh": "语义解析与建模",
   "level": "l2"
  },
  "CAP_7cad0afb": {
   "en": "Feedback & Memory Update",
   "zh": "反馈与记忆更新",
   "level": "l2"
  },
  "CAP_92f07988": {
   "en": "Tool Semantic Model Synthesis",
   "zh": "工具语义模型合成",
   "level": "l3"
  },
  "CAP_5882b251": {
   "en": "Contextual Strategy Generation",
   "zh": "上下文策略生成",
   "level": "l3"
  },
  "CAP_798703ae": {
   "en": "Zero-Shot API Code Generation",
   "zh": "零样本 API 代码生成",
   "level": "l3"
  },
  "CAP_054d8615": {
   "en": "NFZ-Aware Environment Modeling",
   "zh": "禁飞区环境建模",
   "level": "l2"
  },
  "CAP_98d83b61": {
   "en": "ESDF Mapping From Depth",
   "zh": "基于深度图的ESDF建图",
   "level": "l3"
  },
  "CAP_5891ad76": {
   "en": "NFZ Hard Constraint Formulation",
   "zh": "禁飞区硬约束建模",
   "level": "l3"
  },
  "CAP_e0c65ffe": {
   "en": "Constrained MPC Solver (RTI)",
   "zh": "带硬约束的MPC求解（RTI）",
   "level": "l3"
  },
  "CAP_d876184a": {
   "en": "DRL NFZ Avoidance Training",
   "zh": "端到端DRL规避策略训练",
   "level": "l2"
  },
  "CAP_efd5217d": {
   "en": "NFZ Simulation Environment Generator",
   "zh": "禁飞区仿真环境生成",
   "level": "l3"
  },
  "CAP_1e42cb41": {
   "en": "DRL Vision NFZ Avoidance Policy",
   "zh": "视觉DRL禁飞区规避策略",
   "level": "l3"
  },
  "CAP_3b6f66cd": {
   "en": "Reward Function Engineering",
   "zh": "奖励函数工程",
   "level": "l3"
  },
  "CAP_51dea39c": {
   "en": "DRL Online Inference and Safety Monitoring",
   "zh": "DRL在线推理与安全监控",
   "level": "l2"
  },
  "CAP_9ef31ef8": {
   "en": "NFZ Safety Monitor",
   "zh": "禁飞区安全监视器",
   "level": "l3"
  },
  "CAP_6b6f75dc": {
   "en": "Semantic NFZ Reasoning and Planning",
   "zh": "语义级禁飞区推理与规划",
   "level": "l2"
  },
  "CAP_94f63728": {
   "en": "Semantic NFZ Inference From Text",
   "zh": "文本语义禁飞区推理",
   "level": "l3"
  },
  "CAP_3dcbc32d": {
   "en": "Semantic NFZ Inference From Image",
   "zh": "图像语义禁飞区推理",
   "level": "l3"
  },
  "CAP_fa3e4799": {
   "en": "Dynamic NFZ Geometry Tracking",
   "zh": "动态禁飞区几何体追踪",
   "level": "l3"
  },
  "CAP_716aaff3": {
   "en": "Semantics-Aware Path Planning",
   "zh": "语义感知路径规划",
   "level": "l3"
  },
  "CAP_24e7bb23": {
   "en": "Dynamic Scene Graph Construction",
   "zh": "动态场景图构建",
   "level": "l2"
  },
  "CAP_2815c220": {
   "en": "KG-Augmented Scene Graph Query",
   "zh": "知识图谱增强的场景图查询",
   "level": "l2"
  },
  "CAP_75d1c76b": {
   "en": "Open-Vocabulary Instance Segmentation",
   "zh": "开放词汇实例分割",
   "level": "l3"
  },
  "CAP_36221411": {
   "en": "Spatial Relation Inference",
   "zh": "空间关系推理",
   "level": "l3"
  },
  "CAP_939df254": {
   "en": "KG Entity Linking",
   "zh": "知识图谱实体链接",
   "level": "l3"
  },
  "CAP_2868b151": {
   "en": "Open-Vocabulary Query Parsing",
   "zh": "开放词汇查询解析",
   "level": "l3"
  },
  "CAP_4c199705": {
   "en": "KG Perception-to-Symbol Bridging",
   "zh": "知识图谱感知到符号桥接",
   "level": "l2"
  },
  "CAP_b073acaa": {
   "en": "KG Task Reasoning",
   "zh": "知识图谱任务推理",
   "level": "l2"
  },
  "CAP_ae611ea4": {
   "en": "KG Action Planning",
   "zh": "知识图谱动作规划",
   "level": "l2"
  },
  "CAP_4e2ed266": {
   "en": "KG Execution Monitoring",
   "zh": "知识图谱执行监控",
   "level": "l2"
  },
  "CAP_d453244a": {
   "en": "Scene-to-KG Mapping",
   "zh": "场景图到知识图谱映射",
   "level": "l3"
  },
  "CAP_eccfaf1c": {
   "en": "KG Task Decomposition",
   "zh": "基于知识图谱的任务分解",
   "level": "l3"
  },
  "CAP_7b98011a": {
   "en": "Physical Reasoning (KG)",
   "zh": "基于知识图谱的物理推理",
   "level": "l3"
  },
  "CAP_d1965560": {
   "en": "KG Action Sequence Planning",
   "zh": "知识图谱驱动的动作序列规划",
   "level": "l3"
  },
  "CAP_723fe41c": {
   "en": "Physics-Aware World Model",
   "zh": "物理属性增强的世界模型",
   "level": "l2"
  },
  "CAP_08fec1c2": {
   "en": "Physical Attribute Retrieval",
   "zh": "物理属性检索",
   "level": "l3"
  },
  "CAP_143b6799": {
   "en": "Physics Constraint Graph Construction",
   "zh": "物理约束图构建",
   "level": "l3"
  },
  "CAP_b2f38924": {
   "en": "Physics Rule Verification",
   "zh": "物理规则验证",
   "level": "l3"
  },
  "CAP_4957dfe1": {
   "en": "Uncertainty-Aware Multi-Simulation",
   "zh": "不确定性感知多仿真",
   "level": "l3"
  },
  "CAP_442d0e0d": {
   "en": "NTP Server and Time Source Deployment",
   "zh": "NTP 服务器与时间源部署",
   "level": "l2"
  },
  "CAP_7364cbeb": {
   "en": "NTP Server Deployment",
   "zh": "NTP 服务器部署",
   "level": "l3"
  },
  "CAP_4443c5df": {
   "en": "NTP Synchronization Monitoring",
   "zh": "NTP 同步监控",
   "level": "l2"
  },
  "CAP_92e8ac64": {
   "en": "NTP Sync State Monitoring",
   "zh": "NTP 同步状态监控",
   "level": "l3"
  },
  "CAP_24226e48": {
   "en": "NTP-driven Timestamp Injection",
   "zh": "NTP 驱动时间戳注入",
   "level": "l2"
  },
  "CAP_ea285f64": {
   "en": "NTP-based Timestamp Injection",
   "zh": "基于 NTP 的时间戳注入",
   "level": "l3"
  },
  "CAP_ba2bca17": {
   "en": "Logical Clock Management",
   "zh": "逻辑时钟管理",
   "level": "l2"
  },
  "CAP_b80124ee": {
   "en": "Lamport Total Order",
   "zh": "Lamport 全序",
   "level": "l3"
  },
  "CAP_ce729133": {
   "en": "Vector Clock Conflict Detection",
   "zh": "向量时钟冲突检测",
   "level": "l3"
  },
  "CAP_5f1444da": {
   "en": "Causal Reliable Broadcast",
   "zh": "因果可靠广播",
   "level": "l2"
  },
  "CAP_73ef90b0": {
   "en": "Distributed Snapshot and Clock Scaling",
   "zh": "分布式快照与时钟伸缩",
   "level": "l2"
  },
  "CAP_e6bf7e38": {
   "en": "Distributed Snapshot",
   "zh": "分布式快照",
   "level": "l3"
  },
  "CAP_0d04d838": {
   "en": "Interval Tree Clock",
   "zh": "间隔树时钟",
   "level": "l3"
  },
  "CAP_23829d0e": {
   "en": "Cloud Time Source Provisioning",
   "zh": "云端时间源供给",
   "level": "l2"
  },
  "CAP_5f40884c": {
   "en": "Cloud Stratum-1 Time Source Provisioning",
   "zh": "云端 Stratum-1 时间源供给",
   "level": "l3"
  },
  "CAP_0ede0581": {
   "en": "Edge NTP Relay Deployment",
   "zh": "边缘 NTP 中继部署",
   "level": "l2"
  },
  "CAP_73e0ceaf": {
   "en": "Edge NTP Relay with Fallback",
   "zh": "边缘 NTP 中继与降级",
   "level": "l3"
  },
  "CAP_82a6f062": {
   "en": "Edge-End Elastic Sync and Observability",
   "zh": "终端弹性同步与可观测性",
   "level": "l2"
  },
  "CAP_9664a59b": {
   "en": "Adaptive Polling Interval Control",
   "zh": "自适应轮询间隔控制",
   "level": "l3"
  },
  "CAP_c29f7651": {
   "en": "NTP Failover and Drift Compensation",
   "zh": "NTP 故障切换与漂移补偿",
   "level": "l3"
  },
  "CAP_1b3a8438": {
   "en": "NTP Sync Monitoring and Alerting",
   "zh": "NTP 同步监控与告警",
   "level": "l3"
  },
  "CAP_cac2e3a9": {
   "en": "Task Space Feedback Linearization",
   "zh": "任务空间反馈线性化",
   "level": "l2"
  },
  "CAP_b76c0e6b": {
   "en": "Forward Kinematics & Jacobian",
   "zh": "正运动学与雅可比计算",
   "level": "l3"
  },
  "CAP_7ac83599": {
   "en": "Task Space PD Control",
   "zh": "任务空间PD控制",
   "level": "l3"
  },
  "CAP_3a0bd568": {
   "en": "Hierarchical QP Null Space Optimization",
   "zh": "层级QP零空间优化",
   "level": "l2"
  },
  "CAP_35dbb2ec": {
   "en": "Collision Detection & Distance Query",
   "zh": "碰撞检测与距离查询",
   "level": "l3"
  },
  "CAP_d8554739": {
   "en": "NullSpaceQP Obstacle Avoidance",
   "zh": "零空间QP避障",
   "level": "l3"
  },
  "CAP_645832b0": {
   "en": "NullSpaceQP Joint Limit Avoidance",
   "zh": "零空间QP关节限位规避",
   "level": "l3"
  },
  "CAP_bfa7cc2b": {
   "en": "HierarchicalQP Slack Management",
   "zh": "层级QP松弛管理",
   "level": "l3"
  },
  "CAP_12a7ea62": {
   "en": "Inverse Dynamics (RNEA)",
   "zh": "逆动力学(RNEA)",
   "level": "l3"
  },
  "CAP_d0343998": {
   "en": "Joint-level Torque Control",
   "zh": "关节级力矩控制",
   "level": "l2"
  },
  "CAP_10b8f08f": {
   "en": "Joint Torque PD Control",
   "zh": "关节力矩PD控制",
   "level": "l3"
  },
  "CAP_4edfd08b": {
   "en": "Null Space Projection (In-hand)",
   "zh": "零空间投影(灵巧手)",
   "level": "l2"
  },
  "CAP_86cdd633": {
   "en": "Null Space RL In-Hand Manipulation",
   "zh": "零空间RL灵巧手操作",
   "level": "l2"
  },
  "CAP_5134a538": {
   "en": "Tactile-based Contact State Estimation",
   "zh": "基于触觉的接触状态估计",
   "level": "l3"
  },
  "CAP_9806ef58": {
   "en": "Null Space RL Policy Learning",
   "zh": "零空间RL策略学习",
   "level": "l3"
  },
  "CAP_177412a7": {
   "en": "Sim-to-Real Zero-shot Transfer",
   "zh": "零样本Sim-to-Real迁移",
   "level": "l3"
  },
  "CAP_fe310210": {
   "en": "Grasp Stability Monitoring",
   "zh": "抓握稳定性监测",
   "level": "l2"
  },
  "CAP_ac5f4ec1": {
   "en": "Grasp Stability Monitoring & Recovery",
   "zh": "抓握稳定性监测与恢复",
   "level": "l3"
  },
  "CAP_d2735a0a": {
   "en": "Numeric PDDL Heuristic Planning",
   "zh": "数值PDDL启发式规划",
   "level": "l2"
  },
  "CAP_e92483bd": {
   "en": "Numeric Heuristic Computation",
   "zh": "数值启发式计算",
   "level": "l3"
  },
  "CAP_0a42c987": {
   "en": "Mixed State Search",
   "zh": "混合状态搜索",
   "level": "l3"
  },
  "CAP_531952ee": {
   "en": "Numeric Relaxed Planning Graph",
   "zh": "数值放松规划图",
   "level": "l3"
  },
  "CAP_d2a20a29": {
   "en": "Numeric Precondition Checker",
   "zh": "数值前提检查器",
   "level": "l3"
  },
  "CAP_8daccfe1": {
   "en": "Numeric Goal Evaluator",
   "zh": "数值目标评估器",
   "level": "l3"
  },
  "CAP_8a8609fd": {
   "en": "Numeric PDDL Constraint Encoding Planning",
   "zh": "数值PDDL约束编码规划",
   "level": "l2"
  },
  "CAP_d47ef1d0": {
   "en": "Numeric SMT Encoding",
   "zh": "数值SMT编码",
   "level": "l3"
  },
  "CAP_8c304d16": {
   "en": "Numeric CP Encoding",
   "zh": "数值CP编码",
   "level": "l3"
  },
  "CAP_b0b84e24": {
   "en": "Bounded Planning Incremental",
   "zh": "有界递增规划",
   "level": "l3"
  },
  "CAP_3e948256": {
   "en": "Numeric Plan Extraction",
   "zh": "数值计划提取",
   "level": "l3"
  },
  "CAP_57796e2d": {
   "en": "Numeric Constraint Debugging",
   "zh": "数值约束调试",
   "level": "l3"
  },
  "CAP_61c0af9f": {
   "en": "Neuro-Symbolic LLM Numeric Planning",
   "zh": "神经符号LLM数值规划",
   "level": "l2"
  },
  "CAP_e8770236": {
   "en": "NL to Numeric PDDL Translation",
   "zh": "自然语言到数值PDDL翻译",
   "level": "l3"
  },
  "CAP_41cdf74c": {
   "en": "LLM Guided Numeric Plan Repair",
   "zh": "LLM引导数值计划修复",
   "level": "l3"
  },
  "CAP_806e3f4e": {
   "en": "Context Aware Numeric Goal Formalization",
   "zh": "上下文感知数值目标形式化",
   "level": "l3"
  },
  "CAP_9d612b9f": {
   "en": "Probabilistic Object Anchor Initialization",
   "zh": "概率物体锚点初始化",
   "level": "l3"
  },
  "CAP_4f403576": {
   "en": "Bayesian Multiview Fusion",
   "zh": "贝叶斯多视角融合",
   "level": "l3"
  },
  "CAP_36c60e5b": {
   "en": "Anchor Quality Assessment",
   "zh": "锚点质量评估",
   "level": "l3"
  },
  "CAP_a69462f3": {
   "en": "Navigation Anchor Selection",
   "zh": "导航锚点选择",
   "level": "l3"
  },
  "CAP_b959100f": {
   "en": "Probabilistic Factor Graph Optimization",
   "zh": "概率因子图优化",
   "level": "l3"
  },
  "CAP_6431d9e8": {
   "en": "Open-Vocabulary 3D Anchoring",
   "zh": "开放词汇三维锚定",
   "level": "l3"
  },
  "CAP_918a0a25": {
   "en": "Hierarchical Relation Re-Identification",
   "zh": "层次化关系与重识别",
   "level": "l2"
  },
  "CAP_48a66b17": {
   "en": "Object Instance Encoding",
   "zh": "物体实例编码",
   "level": "l3"
  },
  "CAP_80667e8c": {
   "en": "Active Uncertainty Estimation",
   "zh": "主动不确定性估计",
   "level": "l3"
  },
  "CAP_0efdd14d": {
   "en": "Interactive Reconstruction Acquisition",
   "zh": "交互式重建采集",
   "level": "l2"
  },
  "CAP_2cad8801": {
   "en": "Interactive Action Planning",
   "zh": "交互动作规划",
   "level": "l3"
  },
  "CAP_d7c21078": {
   "en": "Reconstruction Geometry Appearance Optimization",
   "zh": "重建几何外观优化",
   "level": "l2"
  },
  "CAP_ffeb4ae8": {
   "en": "Physical Asset Authoring",
   "zh": "物理资产编写",
   "level": "l2"
  },
  "CAP_f822c5e2": {
   "en": "Asset Export Simulation-ready",
   "zh": "仿真就绪资产导出",
   "level": "l3"
  },
  "CAP_06719e8a": {
   "en": "Neural Generative Asset Generation",
   "zh": "神经生成式资产生成",
   "level": "l2"
  },
  "CAP_10e427d0": {
   "en": "Score Distillation Sampling",
   "zh": "分数蒸馏采样",
   "level": "l3"
  },
  "CAP_f6c21581": {
   "en": "Feedforward Image to 3D",
   "zh": "前馈单图三维重建",
   "level": "l3"
  },
  "CAP_205e0e64": {
   "en": "Large Reconstruction Model Gaussian",
   "zh": "大重建模型高斯",
   "level": "l3"
  },
  "CAP_e6adb57b": {
   "en": "Generative Asset Texturing",
   "zh": "生成资产纹理烘焙",
   "level": "l3"
  },
  "CAP_33e0f61a": {
   "en": "Generated Asset Simulation Export",
   "zh": "生成资产仿真导出",
   "level": "l3"
  },
  "CAP_367e1fa8": {
   "en": "Interactive Kinematic Asset Modeling",
   "zh": "交互式运动学资产建模",
   "level": "l2"
  },
  "CAP_8ccce6bf": {
   "en": "Kinematic Structure Decomposition",
   "zh": "运动学结构分解",
   "level": "l3"
  },
  "CAP_f2e2eed1": {
   "en": "Object SLAM Perception",
   "zh": "物体级SLAM感知",
   "level": "l2"
  },
  "CAP_940c4765": {
   "en": "Object SLAM Association",
   "zh": "物体级SLAM关联",
   "level": "l2"
  },
  "CAP_30386ad0": {
   "en": "Object Quadric Initialization",
   "zh": "物体二次曲面初始化",
   "level": "l3"
  },
  "CAP_3cd11def": {
   "en": "Object SLAM Optimization",
   "zh": "物体级SLAM优化",
   "level": "l2"
  },
  "CAP_5b5fcba0": {
   "en": "Object SLAM Map & Relocalization",
   "zh": "物体级SLAM地图与重定位",
   "level": "l2"
  },
  "CAP_3368b915": {
   "en": "Object-Based Relocalization",
   "zh": "基于物体的重定位",
   "level": "l3"
  },
  "CAP_c78f8596": {
   "en": "E2E Object Relocalization",
   "zh": "端到端物体重定位",
   "level": "l2"
  },
  "CAP_f4ebf682": {
   "en": "Object-Aware Attention",
   "zh": "物体感知注意力",
   "level": "l3"
  },
  "CAP_5e516706": {
   "en": "Map Prior Integration",
   "zh": "地图先验集成",
   "level": "l3"
  },
  "CAP_c5f47ca4": {
   "en": "Cross-Scene Generalization",
   "zh": "跨场景泛化",
   "level": "l3"
  },
  "CAP_ed232f34": {
   "en": "Single-View Feedforward Completion",
   "zh": "单视角前馈补全",
   "level": "l2"
  },
  "CAP_3c92f8c8": {
   "en": "Transformer Point Cloud Encoder",
   "zh": "Transformer 点云补全编码",
   "level": "l3"
  },
  "CAP_ccd5dafe": {
   "en": "VQDIF Sparse Encoding",
   "zh": "VQDIF 稀疏编码",
   "level": "l3"
  },
  "CAP_ea8a1334": {
   "en": "Shape Completion (Diffusion)",
   "zh": "扩散式形状补全",
   "level": "l3"
  },
  "CAP_ccaeba7c": {
   "en": "Multi-View Fusion and Neural Field Optimization",
   "zh": "多视图融合与神经场优化",
   "level": "l2"
  },
  "CAP_73a14db4": {
   "en": "Neural SDF Optimization",
   "zh": "神经 SDF 优化",
   "level": "l3"
  },
  "CAP_2f1c6454": {
   "en": "Embodied Interactive Active Reconstruction",
   "zh": "具身交互式主动重建",
   "level": "l2"
  },
  "CAP_4fd6b86a": {
   "en": "Interactive Object Manipulation",
   "zh": "交互式物体操控",
   "level": "l3"
  },
  "CAP_ea289ffd": {
   "en": "Completeness Evaluation",
   "zh": "完整性评估",
   "level": "l3"
  },
  "CAP_848e55e7": {
   "en": "Interactive Reconstruction Pipeline",
   "zh": "交互式重建流程编排",
   "level": "l3"
  },
  "CAP_c1f9955a": {
   "en": "ObjectGoal End-to-End Perception-Action",
   "zh": "物体目标端到端感知-动作",
   "level": "l2"
  },
  "CAP_947e17f1": {
   "en": "ObjectGoal DRL Reward and Exploration",
   "zh": "物体目标 DRL 奖励与探索",
   "level": "l2"
  },
  "CAP_9c99681d": {
   "en": "ObjectGoal DRL Training and Sim2Real",
   "zh": "物体目标 DRL 训练与 Sim2Real",
   "level": "l2"
  },
  "CAP_4e6c73a5": {
   "en": "End-to-End Visual Navigation Policy",
   "zh": "端到端视觉导航策略",
   "level": "l3"
  },
  "CAP_c5a87b56": {
   "en": "CLIP Zero-Shot Goal Navigation",
   "zh": "CLIP 零样本目标导航",
   "level": "l3"
  },
  "CAP_e1352c8f": {
   "en": "Curiosity-Driven Exploration Reward",
   "zh": "好奇心驱动探索奖励",
   "level": "l3"
  },
  "CAP_42e54258": {
   "en": "Semantic Mapping Construction",
   "zh": "语义地图构建",
   "level": "l2"
  },
  "CAP_4795245c": {
   "en": "Semantic Prior Injection",
   "zh": "语义先验注入",
   "level": "l2"
  },
  "CAP_07a2da01": {
   "en": "Semantic Map Query and Value",
   "zh": "语义地图查询与价值",
   "level": "l2"
  },
  "CAP_23ef8221": {
   "en": "Semantic Segmentation (RGB)",
   "zh": "RGB 语义分割",
   "level": "l3"
  },
  "CAP_30372085": {
   "en": "Semantic Voxel Map Update",
   "zh": "语义体素地图更新",
   "level": "l3"
  },
  "CAP_96281108": {
   "en": "Object-Room Co-occurrence Prior",
   "zh": "物体-房间共现先验",
   "level": "l3"
  },
  "CAP_e7a2b762": {
   "en": "Semantic Exploration Value Estimation",
   "zh": "语义探索价值估计",
   "level": "l3"
  },
  "CAP_f9e3bfb8": {
   "en": "Semantic Map Query Interface",
   "zh": "语义地图查询接口",
   "level": "l3"
  },
  "CAP_14d81e57": {
   "en": "LLM Commonsense Reasoning Engine",
   "zh": "LLM 常识推理引擎",
   "level": "l2"
  },
  "CAP_1ec45442": {
   "en": "LLM Scene Summarization",
   "zh": "LLM 场景摘要",
   "level": "l3"
  },
  "CAP_c659012e": {
   "en": "LLM Zero-Shot Object-Room Prior",
   "zh": "LLM 零样本物体-房间先验",
   "level": "l3"
  },
  "CAP_ac8ba6c1": {
   "en": "LLM Exploration Heuristic Generation",
   "zh": "LLM 探索启发式生成",
   "level": "l3"
  },
  "CAP_d20e2f2a": {
   "en": "Quadric Object Pose Initialization",
   "zh": "二次曲面物体位姿初始化",
   "level": "l3"
  },
  "CAP_1b162011": {
   "en": "Lightweight Map Serialization",
   "zh": "轻量级地图序列化",
   "level": "l3"
  },
  "CAP_e77e9ba1": {
   "en": "Incremental Scene Graph Fusion",
   "zh": "增量场景图融合",
   "level": "l3"
  },
  "CAP_9db2631d": {
   "en": "Natural Language Scene Query",
   "zh": "自然语言场景查询",
   "level": "l3"
  },
  "CAP_1f734309": {
   "en": "Instance-Level Dense Mapping",
   "zh": "实例级稠密建图",
   "level": "l2"
  },
  "CAP_da19e42b": {
   "en": "Mask-Guided Depth Backprojection",
   "zh": "掩码引导深度反投影",
   "level": "l3"
  },
  "CAP_7e166128": {
   "en": "Instance Temporal Association",
   "zh": "实例时序关联",
   "level": "l3"
  },
  "CAP_371f29cc": {
   "en": "Instance Lifecycle Management",
   "zh": "实例生命周期管理",
   "level": "l3"
  },
  "CAP_19741569": {
   "en": "Zero-Shot Pixel-Aligned Feature Fusion",
   "zh": "零样本像素对齐特征融合",
   "level": "l3"
  },
  "CAP_b5625ea5": {
   "en": "Open-Vocabulary Semantic Mapping Pipeline",
   "zh": "开放词汇语义建图流水线",
   "level": "l3"
  },
  "CAP_ae92af0a": {
   "en": "Multi-Scale Semantic Fusion",
   "zh": "多尺度语义融合",
   "level": "l3"
  },
  "CAP_5464a96f": {
   "en": "Geometry-Guided Semantic Regularization",
   "zh": "几何引导语义正则化",
   "level": "l3"
  },
  "CAP_bc9a1400": {
   "en": "Instance Level RGB-D Pose Estimation",
   "zh": "实例级 RGB-D 位姿估计",
   "level": "l2"
  },
  "CAP_2797d106": {
   "en": "Model Template Generation",
   "zh": "模型模板生成",
   "level": "l3"
  },
  "CAP_38e445ec": {
   "en": "Dense Correspondence Pose Solver",
   "zh": "稠密对应位姿求解",
   "level": "l3"
  },
  "CAP_abc761d2": {
   "en": "Symmetry-Aware Pose Evaluation",
   "zh": "对称感知位姿评估",
   "level": "l3"
  },
  "CAP_0cab4b89": {
   "en": "Category Level NOCS Pose Estimation",
   "zh": "类别级 NOCS 位姿估计",
   "level": "l2"
  },
  "CAP_abf2f8a9": {
   "en": "Observation Point Cloud Generation",
   "zh": "观测点云生成",
   "level": "l3"
  },
  "CAP_9c9ad49c": {
   "en": "Umeyama Similarity Solver",
   "zh": "Umeyama 相似变换求解",
   "level": "l3"
  },
  "CAP_2d878c4e": {
   "en": "NOCS Symmetric Handling",
   "zh": "NOCS 对称处理",
   "level": "l3"
  },
  "CAP_2abda72e": {
   "en": "NOCS Sim-to-Real Adaptation",
   "zh": "NOCS 域自适应",
   "level": "l3"
  },
  "CAP_05d1de10": {
   "en": "Zero-Shot Object Segmentation",
   "zh": "零样本物体实例分割",
   "level": "l2"
  },
  "CAP_efb9202a": {
   "en": "Reference Object Representation Build",
   "zh": "参考物体表示构建",
   "level": "l2"
  },
  "CAP_dd76030f": {
   "en": "SAM-Guided Instance Proposal",
   "zh": "SAM 引导实例提议",
   "level": "l3"
  },
  "CAP_8cd6b954": {
   "en": "Object Matching Score Filtering",
   "zh": "物体匹配分数筛选",
   "level": "l3"
  },
  "CAP_51bb1aa0": {
   "en": "Neural Object Field Reconstruction",
   "zh": "神经对象场重建",
   "level": "l3"
  },
  "CAP_37a17ad7": {
   "en": "CAD Model Ingestion",
   "zh": "CAD 模型接入",
   "level": "l3"
  },
  "CAP_49e98e0c": {
   "en": "Temporal 6D Pose Smoothing (Learning-based Refinement)",
   "zh": "时序6D平滑（学习型精化）",
   "level": "l2"
  },
  "CAP_6629e34b": {
   "en": "Iterative GRU Flow Refinement",
   "zh": "GRU迭代光流细化",
   "level": "l3"
  },
  "CAP_aafa4fc7": {
   "en": "Previous-Pose Conditioned Rendering",
   "zh": "上一帧位姿条件模型渲染",
   "level": "l3"
  },
  "CAP_9e6680f3": {
   "en": "Global Pose Hypothesis Uniform Sampling",
   "zh": "全局位姿假设均匀采样",
   "level": "l3"
  },
  "CAP_efa97834": {
   "en": "Zero-Shot Foundation Model Pose Estimation",
   "zh": "零样本基础模型位姿估计",
   "level": "l2"
  },
  "CAP_a87ac1a4": {
   "en": "Pose Initialization with Icosphere Viewpoint Sampling",
   "zh": "基于 icosphere 视点采样的位姿初始化",
   "level": "l3"
  },
  "CAP_427338aa": {
   "en": "RGB-D Acquisition and Pose-Conditioned Cropping",
   "zh": "RGB-D 采集与位姿条件裁剪",
   "level": "l3"
  },
  "CAP_2906d513": {
   "en": "Transformer-Based Pose Refinement",
   "zh": "基于 Transformer 的位姿精化",
   "level": "l3"
  },
  "CAP_b01a03b0": {
   "en": "Object Rendering at Hypothesis Pose",
   "zh": "假设位姿下物体渲染",
   "level": "l3"
  },
  "CAP_9a8a5061": {
   "en": "Pose Exponential Map Composition",
   "zh": "位姿指数映射复合",
   "level": "l3"
  },
  "CAP_acae8643": {
   "en": "Neural Relative Pose Regression",
   "zh": "神经相对位姿回归",
   "level": "l3"
  },
  "CAP_5cce821f": {
   "en": "Neural Tracking Confidence Monitoring",
   "zh": "神经跟踪置信度监控",
   "level": "l3"
  },
  "CAP_7975624c": {
   "en": "Prior Model Pose Initialization",
   "zh": "基于先验模型的位姿初始化",
   "level": "l2"
  },
  "CAP_1f01a906": {
   "en": "Model-based 6DoF Pose Estimation",
   "zh": "基于模型的六维位姿估计",
   "level": "l3"
  },
  "CAP_de3a41c3": {
   "en": "Object-level Factor Graph Construction",
   "zh": "物体级因子图构建",
   "level": "l2"
  },
  "CAP_088a1410": {
   "en": "Object-inter Constraint Detection",
   "zh": "物体间约束检测",
   "level": "l3"
  },
  "CAP_60a29eb4": {
   "en": "Object-level Pose Graph Optimization",
   "zh": "物体级位姿图优化",
   "level": "l3"
  },
  "CAP_947e5eaf": {
   "en": "Symmetry-aware Pose Optimization",
   "zh": "对称感知位姿优化",
   "level": "l3"
  },
  "CAP_241f0c69": {
   "en": "CAD-free 2D Perception Frontend",
   "zh": "免CAD二维感知前端",
   "level": "l2"
  },
  "CAP_06feabcb": {
   "en": "Single-view Learned Pose Estimation",
   "zh": "单帧学习式位姿估计",
   "level": "l2"
  },
  "CAP_8efe1d40": {
   "en": "Temporal Pose Consistency",
   "zh": "时序位姿一致性",
   "level": "l2"
  },
  "CAP_427dfdea": {
   "en": "Multi-view Global Registration",
   "zh": "多视图全局配准",
   "level": "l2"
  },
  "CAP_5ebbef52": {
   "en": "Object Pose Map Assembly",
   "zh": "物体位姿地图装配",
   "level": "l2"
  },
  "CAP_970def3d": {
   "en": "Object Pose Map Assembly",
   "zh": "物体位姿地图装配",
   "level": "l3"
  },
  "CAP_df36ed87": {
   "en": "Object-Centric 3D Fusion",
   "zh": "物体级3D融合关联",
   "level": "l2"
  },
  "CAP_8bf8f1f4": {
   "en": "Scene Graph Node Captioning",
   "zh": "场景图节点语义生成",
   "level": "l2"
  },
  "CAP_2634c6f3": {
   "en": "Object Node Caption Generation",
   "zh": "物体节点描述生成",
   "level": "l3"
  },
  "CAP_9e1827f6": {
   "en": "Implicit Relation Encoding",
   "zh": "隐式关系编码",
   "level": "l2"
  },
  "CAP_88363fe7": {
   "en": "Implicit Spatial Relation Encoding",
   "zh": "隐式空间关系编码",
   "level": "l3"
  },
  "CAP_0866056f": {
   "en": "Multi-scale Relation Aggregation",
   "zh": "多尺度关系聚合",
   "level": "l3"
  },
  "CAP_07ecd984": {
   "en": "Language Guided Relation Focusing",
   "zh": "语言引导关系聚焦",
   "level": "l3"
  },
  "CAP_b6d80412": {
   "en": "Relation Aware Scene Encoding",
   "zh": "关系感知场景编码",
   "level": "l3"
  },
  "CAP_4e5e4730": {
   "en": "Physical Relation Dynamics and Skill Execution",
   "zh": "物理关系动力学与技能执行",
   "level": "l2"
  },
  "CAP_78be4ab7": {
   "en": "Relational Dynamics Prediction",
   "zh": "关系动力学预测",
   "level": "l3"
  },
  "CAP_6271f25b": {
   "en": "Physics Feasibility Validation",
   "zh": "物理可行性校验",
   "level": "l3"
  },
  "CAP_9c12444c": {
   "en": "Physics Aware Skill Parameterization",
   "zh": "物理感知技能参数化",
   "level": "l3"
  },
  "CAP_734e3abb": {
   "en": "Neural Rendering Autonomous Scanning",
   "zh": "神经渲染质量驱动自主扫描",
   "level": "l2"
  },
  "CAP_187ee311": {
   "en": "Online Neural Field Training",
   "zh": "在线神经场训练",
   "level": "l3"
  },
  "CAP_91f321bb": {
   "en": "Uncertainty-aware NBV Planning",
   "zh": "不确定性感知下一最佳视角规划",
   "level": "l3"
  },
  "CAP_2283cdd5": {
   "en": "Active Texture Projection",
   "zh": "主动纹理投影触发",
   "level": "l3"
  },
  "CAP_3e32b6af": {
   "en": "Neural to Mesh Conversion",
   "zh": "神经场到网格转换",
   "level": "l3"
  },
  "CAP_2cbbb174": {
   "en": "Scanning Loop Orchestration",
   "zh": "扫描循环编排",
   "level": "l3"
  },
  "CAP_e26f586d": {
   "en": "Category-Prior Interactive Scanning",
   "zh": "类别先验交互式扫描",
   "level": "l2"
  },
  "CAP_f2c4d2e9": {
   "en": "Category Prior Loading",
   "zh": "类别先验加载",
   "level": "l3"
  },
  "CAP_090bfe4d": {
   "en": "Prior-guided Coarse Registration",
   "zh": "先验引导粗配准",
   "level": "l3"
  },
  "CAP_f4ce0dc7": {
   "en": "Prior-guided Uncertainty Estimation",
   "zh": "先验引导不确定性估计",
   "level": "l3"
  },
  "CAP_0495dd41": {
   "en": "Category-aware NBV Planning",
   "zh": "类别感知下一最佳视角规划",
   "level": "l3"
  },
  "CAP_f79736b5": {
   "en": "Adaptive Shape Refinement",
   "zh": "自适应形状细化",
   "level": "l3"
  },
  "CAP_05eaafa8": {
   "en": "Object Tracking and Instance Association",
   "zh": "物体跟踪与实例关联",
   "level": "l2"
  },
  "CAP_c02e6b40": {
   "en": "Object Pose and Shape Reconstruction",
   "zh": "物体位姿与形状重建",
   "level": "l2"
  },
  "CAP_8c313841": {
   "en": "Object Scene Fusion and Optimization",
   "zh": "物体场景融合与优化",
   "level": "l2"
  },
  "CAP_08635533": {
   "en": "Object Shape Initialization",
   "zh": "物体形状初始化",
   "level": "l3"
  },
  "CAP_e242ea62": {
   "en": "Object Instance Association",
   "zh": "物体实例关联",
   "level": "l3"
  },
  "CAP_c196ef0e": {
   "en": "Object-Level Scene Fusion",
   "zh": "物体级场景融合",
   "level": "l3"
  },
  "CAP_616e1c63": {
   "en": "Joint BA Optimization",
   "zh": "联合光束法平差优化",
   "level": "l3"
  },
  "CAP_bde85199": {
   "en": "Visuo-Tactile Shape Reconstruction Mapping",
   "zh": "视触形状重建建图",
   "level": "l2"
  },
  "CAP_fd645aff": {
   "en": "Tactile Local Surface Recovery",
   "zh": "触觉局部表面重建",
   "level": "l3"
  },
  "CAP_77ef613c": {
   "en": "Gaussian Process Spatial Shape Fusion",
   "zh": "高斯过程空间形状融合",
   "level": "l3"
  },
  "CAP_871c9ede": {
   "en": "Implicit SDF Object Shape Field",
   "zh": "隐式SDF物体形状场",
   "level": "l3"
  },
  "CAP_c5fe383f": {
   "en": "Active Tactile Exploration",
   "zh": "主动触觉探索",
   "level": "l3"
  },
  "CAP_1610e16f": {
   "en": "Neural Extrinsic Contact Field Tracking",
   "zh": "神经外部接触场跟踪",
   "level": "l3"
  },
  "CAP_6e81a857": {
   "en": "Contact-Rich Dexterous Operation Planning",
   "zh": "接触富集灵巧操作规划",
   "level": "l3"
  },
  "CAP_784c3aed": {
   "en": "Category-Level Single-View Shape Reconstruction And Grasping",
   "zh": "类别级单视角形状重建与抓取",
   "level": "l2"
  },
  "CAP_c516ee43": {
   "en": "Category-Level Canonical Shape Reconstruction",
   "zh": "单视角规范形状重建",
   "level": "l2"
  },
  "CAP_0a7270bc": {
   "en": "Category-Level Grasp Generation",
   "zh": "类别级抓取生成",
   "level": "l2"
  },
  "CAP_1fbfc3a8": {
   "en": "Single-View RGB-D Acquisition",
   "zh": "单视角RGB-D采集",
   "level": "l3"
  },
  "CAP_219ce709": {
   "en": "Category-Level Object Detection And Segmentation",
   "zh": "类别级物体检测与实例分割",
   "level": "l3"
  },
  "CAP_fd182c07": {
   "en": "Canonical Shape Single-View Reconstruction",
   "zh": "规范形状单视角重建",
   "level": "l3"
  },
  "CAP_5999cfb1": {
   "en": "Depth-Lifted Pose And Size Fitting",
   "zh": "深度提升位姿与尺寸拟合",
   "level": "l3"
  },
  "CAP_e777e52b": {
   "en": "Object-Frame Grasp Synthesis From Shape",
   "zh": "基于重建形状的物体坐标系抓取合成",
   "level": "l3"
  },
  "CAP_453187bc": {
   "en": "Scene Point-Cloud Grasp Proposal",
   "zh": "场景点云抓取候选生成",
   "level": "l3"
  },
  "CAP_42974943": {
   "en": "Grasp Route Decision",
   "zh": "抓取路线决策",
   "level": "l3"
  },
  "CAP_809dbe97": {
   "en": "Gravity-Assisted Slip Rotation",
   "zh": "重力辅助滑落旋转",
   "level": "l2"
  },
  "CAP_7f913dd1": {
   "en": "Model-Free RL In-Hand Rotation",
   "zh": "无模型强化学习手内旋转",
   "level": "l2"
  },
  "CAP_17886ccb": {
   "en": "Tactile-Servo Rotation",
   "zh": "触觉伺服旋转",
   "level": "l2"
  },
  "CAP_4e62ac79": {
   "en": "Gravity Moment Analysis",
   "zh": "重力矩分析",
   "level": "l3"
  },
  "CAP_06cb2bd7": {
   "en": "Impedance Modulated Release",
   "zh": "阻抗调制释放",
   "level": "l3"
  },
  "CAP_093c7b75": {
   "en": "Contact Constrained Rotation Tracking",
   "zh": "接触约束旋转跟踪",
   "level": "l3"
  },
  "CAP_b927a489": {
   "en": "Sim-based Parallel Training",
   "zh": "仿真并行训练",
   "level": "l3"
  },
  "CAP_096502b2": {
   "en": "PPO Continuous Control Policy",
   "zh": "PPO 连续控制策略",
   "level": "l3"
  },
  "CAP_9a77e210": {
   "en": "Rotation Reward Shaping",
   "zh": "旋转奖励塑形",
   "level": "l3"
  },
  "CAP_abf53660": {
   "en": "Tactile Pose Estimation",
   "zh": "触觉姿态估计",
   "level": "l3"
  },
  "CAP_ae0fdb7a": {
   "en": "Online Inertia Identification",
   "zh": "在线转动惯量辨识",
   "level": "l3"
  },
  "CAP_5fb292d7": {
   "en": "Tactile Servo Rotation Control",
   "zh": "触觉伺服旋转控制",
   "level": "l3"
  },
  "CAP_110778e6": {
   "en": "Multimodal Telemetry Realtime Rendering",
   "zh": "多模态遥测实时渲染",
   "level": "l2"
  },
  "CAP_7bf41a33": {
   "en": "Real-time Telemetry Stream Ingestion",
   "zh": "实时数据源接入",
   "level": "l2"
  },
  "CAP_f827d4e2": {
   "en": "Standard ROS2 DDS Topic Pub/Sub",
   "zh": "ROS 2 多模态话题订阅",
   "level": "l3"
  },
  "CAP_86717049": {
   "en": "TF2 Message Bridging",
   "zh": "坐标系变换与三维渲染",
   "level": "l2"
  },
  "CAP_ef2f8cb8": {
   "en": "TF Query and Coordinate Transformation",
   "zh": "TF 坐标变换查询",
   "level": "l3"
  },
  "CAP_376f0015": {
   "en": "Digital Twin Semantic Monitoring",
   "zh": "数字孪生语义监控",
   "level": "l2"
  },
  "CAP_01c5f019": {
   "en": "Real-time Entity State Mirroring",
   "zh": "实时实体状态镜像",
   "level": "l3"
  },
  "CAP_f7158a8b": {
   "en": "Semantic Pointcloud and Map Overlay",
   "zh": "语义点云与地图叠加",
   "level": "l3"
  },
  "CAP_ab2bf571": {
   "en": "Intent and Plan Visualization",
   "zh": "意图与规划路径可视化",
   "level": "l3"
  },
  "CAP_bbe39a7a": {
   "en": "Contextual Data Query and Overlay",
   "zh": "上下文数据查询与叠加",
   "level": "l3"
  },
  "CAP_e43c79fe": {
   "en": "Chain Of Thought Visualizer",
   "zh": "思维链可视化",
   "level": "l3"
  },
  "CAP_cc3bedb5": {
   "en": "Counterfactual Exploration",
   "zh": "反事实探查",
   "level": "l3"
  },
  "CAP_c900316d": {
   "en": "Multimodal Alignment Viewer",
   "zh": "多模态对齐视图",
   "level": "l3"
  },
  "CAP_4d464803": {
   "en": "Disentangled Physical-Causal Perception (Encoding & Factorization)",
   "zh": "解耦物理因果感知（编码与解耦）",
   "level": "l2"
  },
  "CAP_cb9b8480": {
   "en": "End-to-End Perception-Causality Joint Learning",
   "zh": "端到端感知-因果联合学习",
   "level": "l3"
  },
  "CAP_a0fed027": {
   "en": "Latent-Space Causal Discovery & Physics Filtering",
   "zh": "隐空间因果发现与物理校验",
   "level": "l2"
  },
  "CAP_6959948b": {
   "en": "Physics-Consistent Causal Filtering",
   "zh": "物理一致性因果过滤",
   "level": "l3"
  },
  "CAP_fe4e67ea": {
   "en": "Causal Downstream Adaptation & Multi-Object Tracking",
   "zh": "下游适配与多物体追踪",
   "level": "l2"
  },
  "CAP_8eadfa65": {
   "en": "Causal Graph Downstream Adaptation",
   "zh": "因果图下游任务适配",
   "level": "l3"
  },
  "CAP_51d059b3": {
   "en": "Visual Scene Decomposition & Object Discovery",
   "zh": "视觉场景分解与对象发现",
   "level": "l2"
  },
  "CAP_992b9190": {
   "en": "Unsupervised Object Discovery From Video",
   "zh": "无监督视频对象发现",
   "level": "l3"
  },
  "CAP_dcf1ab9b": {
   "en": "Object State Space Construction",
   "zh": "对象级状态空间构建",
   "level": "l3"
  },
  "CAP_65e3a70a": {
   "en": "Object State Encoding & Causal Graph Discovery",
   "zh": "对象状态编码与因果图发现",
   "level": "l2"
  },
  "CAP_68126a90": {
   "en": "Causal Graph Discovery From State Sequences",
   "zh": "状态序列因果图发现",
   "level": "l3"
  },
  "CAP_921d6349": {
   "en": "Dynamics Prediction & Visual Counterfactual Reasoning",
   "zh": "动力学预测与视觉反事实推演",
   "level": "l2"
  },
  "CAP_a83f8131": {
   "en": "Graph Dynamics Prediction",
   "zh": "图动力学预测",
   "level": "l3"
  },
  "CAP_5a3d75bd": {
   "en": "Visual Counterfactual Reasoning",
   "zh": "视觉反事实推演",
   "level": "l3"
  },
  "CAP_808b170c": {
   "en": "Joint State-Causal Model Learning",
   "zh": "状态-因果联合模型学习",
   "level": "l3"
  },
  "CAP_6bb7d446": {
   "en": "Observational Causal Discovery & Intervention Simulation",
   "zh": "观测因果发现与干预模拟",
   "level": "l2"
  },
  "CAP_860dc5f4": {
   "en": "Causal Policy Extraction & Cross-Domain Transfer",
   "zh": "因果策略提取与跨域迁移",
   "level": "l2"
  },
  "CAP_8e90b3c1": {
   "en": "Online Causal Policy Execution & Correction",
   "zh": "在线因果策略执行与修正",
   "level": "l2"
  },
  "CAP_b28de5cd": {
   "en": "Causal Anomaly Detection",
   "zh": "因果异常检测",
   "level": "l3"
  },
  "CAP_2207e682": {
   "en": "Domain Randomized Data Pipeline",
   "zh": "域随机化数据生产流水线",
   "level": "l2"
  },
  "CAP_43f67352": {
   "en": "Domain Randomized Simulation Data Generation",
   "zh": "域随机化仿真数据生成",
   "level": "l3"
  },
  "CAP_63cc5a86": {
   "en": "Domain Randomized Visual Representations",
   "zh": "域随机化视觉表征",
   "level": "l2"
  },
  "CAP_4bdd7100": {
   "en": "Domain Randomized Visual Encoding",
   "zh": "域随机化视觉编码",
   "level": "l3"
  },
  "CAP_2fa3c835": {
   "en": "Cross-Embodiment Alignment Validation",
   "zh": "跨具身对齐验证",
   "level": "l2"
  },
  "CAP_ded37608": {
   "en": "Cross-Embodiment Visual Alignment Validator",
   "zh": "跨具身视觉对齐验证器",
   "level": "l3"
  },
  "CAP_44444443": {
   "en": "Heterogeneous Observation Standardization",
   "zh": "异构观测标准化",
   "level": "l2"
  },
  "CAP_ceccbeb7": {
   "en": "Frozen VFM Encoding",
   "zh": "冻结视觉基础模型编码",
   "level": "l2"
  },
  "CAP_365a4b04": {
   "en": "VFM Semantic Observation Encoding",
   "zh": "视觉基础模型语义观测编码",
   "level": "l3"
  },
  "CAP_5ef6c062": {
   "en": "Downstream Feature Adaptation",
   "zh": "下游特征适配",
   "level": "l2"
  },
  "CAP_2806ec6e": {
   "en": "Multiview Acquisition & Calibration",
   "zh": "多视角采集与标定",
   "level": "l2"
  },
  "CAP_e272f3ea": {
   "en": "Geometric Reconstruction Pipeline",
   "zh": "几何重建流水线",
   "level": "l2"
  },
  "CAP_0297637a": {
   "en": "Multiview Geometric Reconstruction",
   "zh": "多视角几何重建",
   "level": "l3"
  },
  "CAP_bfadc410": {
   "en": "Cross-Embodiment Observation Alignment",
   "zh": "跨具身观测对齐",
   "level": "l2"
  },
  "CAP_707109ba": {
   "en": "Cross-Embodiment Observation Query",
   "zh": "跨具身观测查询",
   "level": "l3"
  },
  "CAP_b4c660f8": {
   "en": "Closed-loop Validation & Update",
   "zh": "闭环验证与更新",
   "level": "l2"
  },
  "CAP_e3088790": {
   "en": "Lidar Classical Planning Avoidance",
   "zh": "激光经典规划避障",
   "level": "l2"
  },
  "CAP_8815f935": {
   "en": "Vision DRL Avoidance",
   "zh": "视觉深度强化学习避障",
   "level": "l2"
  },
  "CAP_69ecf17b": {
   "en": "Vision Based Collision Prediction",
   "zh": "视觉碰撞预测",
   "level": "l3"
  },
  "CAP_a68fab5f": {
   "en": "DRL Policy From Pixels",
   "zh": "像素到动作DRL策略",
   "level": "l3"
  },
  "CAP_7cadb650": {
   "en": "Depth Assisted Visual DRL",
   "zh": "深度辅助视觉DRL",
   "level": "l3"
  },
  "CAP_9d704f19": {
   "en": "VLA Semantic Avoidance",
   "zh": "VLA语义避障",
   "level": "l2"
  },
  "CAP_cec44571": {
   "en": "Semantic Obstacle Affordance Inference",
   "zh": "障碍物语义可供性推理",
   "level": "l3"
  },
  "CAP_5e634662": {
   "en": "Distributed MPC-CBF Safe Formation Control",
   "zh": "分布式MPC-CBF安全编队控制",
   "level": "l2"
  },
  "CAP_ad31e6f7": {
   "en": "CBF Safe Set Construction",
   "zh": "CBF安全集构建",
   "level": "l3"
  },
  "CAP_d3bdb0e7": {
   "en": "Formation Reference Generation",
   "zh": "编队参考轨迹生成",
   "level": "l3"
  },
  "CAP_5172fa38": {
   "en": "DMPC-CBF Formation Optimizer",
   "zh": "DMPC-CBF编队优化器",
   "level": "l3"
  },
  "CAP_9bf6d79e": {
   "en": "Formation Control Execution",
   "zh": "编队底层控制执行",
   "level": "l3"
  },
  "CAP_764b118e": {
   "en": "MARL Obstacle-Aware Formation Control",
   "zh": "多智能体深度强化学习避障编队控制",
   "level": "l2"
  },
  "CAP_24c92103": {
   "en": "MAPPO/MASAC Trainer",
   "zh": "MAPPO/MASAC训练器",
   "level": "l3"
  },
  "CAP_4a5ced14": {
   "en": "Dense Feature Extraction (2D)",
   "zh": "二维密集特征提取",
   "level": "l3"
  },
  "CAP_4c903fce": {
   "en": "Dense Feature Extraction (3D)",
   "zh": "三维密集特征提取",
   "level": "l3"
  },
  "CAP_fe143037": {
   "en": "Dense Correspondence Establishment",
   "zh": "密集对应建立",
   "level": "l2"
  },
  "CAP_1d520b4a": {
   "en": "Pose Voting and Hypothesis Generation",
   "zh": "位姿投票与假设生成",
   "level": "l2"
  },
  "CAP_00e20bbe": {
   "en": "RANSAC PnP Voting",
   "zh": "RANSAC PnP 投票",
   "level": "l3"
  },
  "CAP_1c475331": {
   "en": "Hough Voting (6DoF)",
   "zh": "六自由度霍夫投票",
   "level": "l3"
  },
  "CAP_ddd1c042": {
   "en": "Differentiable Voting",
   "zh": "可微分投票",
   "level": "l3"
  },
  "CAP_8a1a0224": {
   "en": "Hypothesis Verification and Refinement",
   "zh": "假设验证与精化",
   "level": "l2"
  },
  "CAP_3b14fa2c": {
   "en": "Generative Perception Encoding",
   "zh": "生成式感知编码",
   "level": "l2"
  },
  "CAP_15a10314": {
   "en": "Visible Region Encoding",
   "zh": "可见区域编码",
   "level": "l3"
  },
  "CAP_da4be39b": {
   "en": "Generative Completion",
   "zh": "生成式补全",
   "level": "l2"
  },
  "CAP_00949398": {
   "en": "Depth Completion (GAN)",
   "zh": "GAN 深度补全",
   "level": "l3"
  },
  "CAP_8b988fec": {
   "en": "Partial-to-Full Alignment",
   "zh": "部分到整体配准",
   "level": "l2"
  },
  "CAP_6cb111b3": {
   "en": "Partial-to-Full Registration",
   "zh": "部分到整体配准",
   "level": "l3"
  },
  "CAP_7f776caf": {
   "en": "Pose Estimation and Refinement",
   "zh": "位姿估计与精修",
   "level": "l2"
  },
  "CAP_9289fa9c": {
   "en": "Render-and-Compare Refinement",
   "zh": "渲染比对精修",
   "level": "l3"
  },
  "CAP_12459d8a": {
   "en": "Simulated Scene Construction",
   "zh": "仿真场景构建",
   "level": "l2"
  },
  "CAP_c24bf408": {
   "en": "Tactile Simulation Generation",
   "zh": "触觉仿真生成",
   "level": "l2"
  },
  "CAP_b6473b13": {
   "en": "Simulated Grasp Tactile Generation",
   "zh": "仿真抓取触觉生成",
   "level": "l3"
  },
  "CAP_a890a9e6": {
   "en": "Multimodal Fusion Training",
   "zh": "多模态融合训练",
   "level": "l2"
  },
  "CAP_1c0d3a98": {
   "en": "Multimodal Fusion Pose Estimation",
   "zh": "多模态融合位姿估计",
   "level": "l3"
  },
  "CAP_a951525a": {
   "en": "Sim2Real Adaptation",
   "zh": "Sim2Real 域适应",
   "level": "l2"
  },
  "CAP_589eabec": {
   "en": "Sim2Real Tactile Adaptation",
   "zh": "Sim2Real 触觉适应",
   "level": "l3"
  },
  "CAP_524eedb6": {
   "en": "Pixelwise Voting Pose Estimation",
   "zh": "逐像素投票位姿估计",
   "level": "l2"
  },
  "CAP_3f7180c8": {
   "en": "Local Evidence Extraction",
   "zh": "局部证据提取",
   "level": "l3"
  },
  "CAP_f481fa3d": {
   "en": "Geometric Constraint Modeling",
   "zh": "几何约束建模",
   "level": "l3"
  },
  "CAP_98206cac": {
   "en": "Local Evidence Voting",
   "zh": "局部证据投票",
   "level": "l3"
  },
  "CAP_061699fd": {
   "en": "Global Pose Optimization",
   "zh": "全局姿态优化",
   "level": "l3"
  },
  "CAP_94212918": {
   "en": "Occlusion-Aware Heatmap Refinement",
   "zh": "遮挡感知热图精细化",
   "level": "l3"
  },
  "CAP_fd101bab": {
   "en": "Model-Driven Render-Compare Pose Refinement",
   "zh": "模型驱动渲染比对位姿精化",
   "level": "l2"
  },
  "CAP_be04355f": {
   "en": "Model-Based Pose Refinement",
   "zh": "基于模型的位姿精化",
   "level": "l3"
  },
  "CAP_5ee321de": {
   "en": "Occlusion-Aware Rendering Comparison",
   "zh": "遮挡感知渲染比对",
   "level": "l3"
  },
  "CAP_5cfc0ed6": {
   "en": "Temporal Pose Prior Integration",
   "zh": "时序姿态先验融合",
   "level": "l3"
  },
  "CAP_0dba12e5": {
   "en": "Generative Amodal Completion Pose Estimation",
   "zh": "生成式非模态补全位姿估计",
   "level": "l2"
  },
  "CAP_57755fc6": {
   "en": "Visible Region Parsing",
   "zh": "可见区域解析",
   "level": "l3"
  },
  "CAP_4a202904": {
   "en": "Amodal 2D Appearance Completion",
   "zh": "非模态二维外观补全",
   "level": "l3"
  },
  "CAP_7870fa24": {
   "en": "Amodal 3D Human Mesh Completion",
   "zh": "非模态三维人体网格补全",
   "level": "l3"
  },
  "CAP_c510f58e": {
   "en": "Depth Map Amodal Completion",
   "zh": "深度图非模态补全",
   "level": "l3"
  },
  "CAP_a1f251de": {
   "en": "Occlusion-Robust Dense Fusion 6D Pose Tracking",
   "zh": "抗遮挡稠密融合6D位姿跟踪",
   "level": "l2"
  },
  "CAP_0812d5d3": {
   "en": "Pixel-wise RGB-D Dense Feature Fusion",
   "zh": "像素级 RGB-D 稠密特征融合",
   "level": "l3"
  },
  "CAP_3a741e57": {
   "en": "Per-Point Confidence Estimation",
   "zh": "逐点置信度估计",
   "level": "l3"
  },
  "CAP_9c1ed2a3": {
   "en": "Occlusion-Aware Training Strategy",
   "zh": "遮挡感知训练策略",
   "level": "l3"
  },
  "CAP_b8bdcd9b": {
   "en": "Real-time Dense Fusion Inference",
   "zh": "实时稠密融合推理",
   "level": "l3"
  },
  "CAP_84a4ef03": {
   "en": "Model-Free 6D Pose Initialization",
   "zh": "免模型6D位姿初始化",
   "level": "l3"
  },
  "CAP_da0eecd0": {
   "en": "Amodal Completion-Driven Pose Estimation",
   "zh": "非模态补全驱动位姿估计",
   "level": "l2"
  },
  "CAP_7b203b5a": {
   "en": "Amodal RGB Completion",
   "zh": "非模态RGB补全",
   "level": "l3"
  },
  "CAP_f7bb058f": {
   "en": "Amodal Point Cloud Completion",
   "zh": "非模态点云补全",
   "level": "l3"
  },
  "CAP_5ae86d7c": {
   "en": "Occlusion-Aware Pose Solver",
   "zh": "遮挡感知位姿求解器",
   "level": "l3"
  },
  "CAP_5bf25771": {
   "en": "Occlusion-Aware Instance Segmentation",
   "zh": "遮挡感知实例分割",
   "level": "l3"
  },
  "CAP_e4ca3edb": {
   "en": "Amodal Completion Path Selection",
   "zh": "非模态补全路径选择",
   "level": "l3"
  },
  "CAP_d100edd6": {
   "en": "Bayesian Occupancy Grid Mapping",
   "zh": "贝叶斯占据栅格建图",
   "level": "l2"
  },
  "CAP_45971b62": {
   "en": "Inverse Sensor Model (Laser)",
   "zh": "激光逆传感器模型",
   "level": "l3"
  },
  "CAP_c6e87dfc": {
   "en": "Occupancy Grid Map Converter",
   "zh": "占据栅格地图转换",
   "level": "l3"
  },
  "CAP_f840248c": {
   "en": "BEV Semantic Occupancy Perception",
   "zh": "BEV语义占据感知",
   "level": "l2"
  },
  "CAP_b4f86b43": {
   "en": "Occupancy Semantic Decoding",
   "zh": "占据语义解码",
   "level": "l3"
  },
  "CAP_5763d376": {
   "en": "Octree Sensor Modeling and Raycasting",
   "zh": "八叉树传感器建模与射线投射",
   "level": "l2"
  },
  "CAP_052a8b5f": {
   "en": "Sensor Model Configuration (Octree)",
   "zh": "八叉树传感器模型配置",
   "level": "l3"
  },
  "CAP_4e739005": {
   "en": "Log-Odds Occupancy Update and Pruning",
   "zh": "对数几率占据更新与剪枝",
   "level": "l2"
  },
  "CAP_5c2854f9": {
   "en": "Octree Dynamic Decay",
   "zh": "八叉树动态衰减",
   "level": "l2"
  },
  "CAP_aa29554f": {
   "en": "Raycasting Volume Sampling",
   "zh": "射线投射体素采样",
   "level": "l3"
  },
  "CAP_b9deca38": {
   "en": "Probabilistic Occupancy Update",
   "zh": "概率占据更新",
   "level": "l3"
  },
  "CAP_553cf331": {
   "en": "Occupancy Clamping",
   "zh": "占据概率钳位",
   "level": "l3"
  },
  "CAP_875e8d32": {
   "en": "Tree Pruning",
   "zh": "八叉树剪枝",
   "level": "l3"
  },
  "CAP_4cb009b8": {
   "en": "Dynamic Decay",
   "zh": "动态概率衰减",
   "level": "l3"
  },
  "CAP_7636e3d9": {
   "en": "Semantic Octree Fusion",
   "zh": "语义八叉树融合",
   "level": "l2"
  },
  "CAP_617410c7": {
   "en": "Hierarchical Semantic Reasoning",
   "zh": "层次化语义推理",
   "level": "l2"
  },
  "CAP_b0f2117a": {
   "en": "Semantic Octree Query and Compression",
   "zh": "语义八叉树查询与压缩",
   "level": "l2"
  },
  "CAP_83c6b84b": {
   "en": "Hierarchical Semantic Query",
   "zh": "层次化语义查询",
   "level": "l3"
  },
  "CAP_1395f30c": {
   "en": "Semantic Map Compression",
   "zh": "语义地图压缩",
   "level": "l3"
  },
  "CAP_b064b7c5": {
   "en": "Temporal Semantic Reasoning",
   "zh": "时序语义推理",
   "level": "l3"
  },
  "CAP_cc76acb5": {
   "en": "Sparse Octree Initialization",
   "zh": "稀疏八叉树初始化",
   "level": "l2"
  },
  "CAP_11ecb618": {
   "en": "Octree Neural Feature Embedding and Rendering",
   "zh": "八叉树神经特征嵌入与渲染",
   "level": "l2"
  },
  "CAP_74afa7df": {
   "en": "Octree Structure Optimization and Baking",
   "zh": "八叉树结构优化与烘焙",
   "level": "l2"
  },
  "CAP_2f823d33": {
   "en": "Sparse Octree Initialization From Geometry",
   "zh": "几何驱动的稀疏八叉树初始化",
   "level": "l3"
  },
  "CAP_ea787530": {
   "en": "Octree Node Feature Embedding",
   "zh": "八叉树节点特征嵌入",
   "level": "l3"
  },
  "CAP_6864496a": {
   "en": "Differentiable Octree Volume Rendering",
   "zh": "可微分八叉树体渲染",
   "level": "l3"
  },
  "CAP_9c91759a": {
   "en": "Dynamic Octree Structure Optimization",
   "zh": "动态八叉树结构优化",
   "level": "l3"
  },
  "CAP_95b0b59f": {
   "en": "Real Time NeRF Baking To Octree",
   "zh": "NeRF实时烘焙到八叉树",
   "level": "l3"
  },
  "CAP_81fb4ecc": {
   "en": "Wheel Speed Noise Characterization",
   "zh": "轮速噪声表征",
   "level": "l3"
  },
  "CAP_082854b1": {
   "en": "Differential Drive Error Jacobian",
   "zh": "差速驱动误差雅可比",
   "level": "l3"
  },
  "CAP_8d99f9da": {
   "en": "Incremental Covariance Propagation",
   "zh": "增量协方差传播",
   "level": "l3"
  },
  "CAP_07d0900c": {
   "en": "Odometry Covariance Accumulation",
   "zh": "里程计协方差累积",
   "level": "l3"
  },
  "CAP_e64e167f": {
   "en": "Wheel Odometry Noise Modeling",
   "zh": "轮式里程计噪声建模",
   "level": "l2"
  },
  "CAP_dad80e5b": {
   "en": "Kinematic Error Propagation",
   "zh": "运动学误差传播",
   "level": "l2"
  },
  "CAP_c66badce": {
   "en": "Odometry Covariance Assembly",
   "zh": "里程计协方差装配",
   "level": "l2"
  },
  "CAP_fdfacb8f": {
   "en": "GP Training Data Collection",
   "zh": "高斯过程训练数据采集",
   "level": "l3"
  },
  "CAP_5d88b42d": {
   "en": "GP Model Training From Trajectories",
   "zh": "从轨迹训练高斯过程模型",
   "level": "l3"
  },
  "CAP_159e0f7f": {
   "en": "GP Error Prediction",
   "zh": "高斯过程误差预测",
   "level": "l3"
  },
  "CAP_7c55edc2": {
   "en": "Sparse GP Online Update",
   "zh": "稀疏高斯过程在线更新",
   "level": "l3"
  },
  "CAP_58424c66": {
   "en": "GP Data Preparation",
   "zh": "高斯过程数据准备",
   "level": "l2"
  },
  "CAP_53b176da": {
   "en": "GP Model Training",
   "zh": "高斯过程模型训练",
   "level": "l2"
  },
  "CAP_ae4c81b0": {
   "en": "GP Error Compensation",
   "zh": "高斯过程误差补偿",
   "level": "l2"
  },
  "CAP_bb888f1f": {
   "en": "Sparse GP Adaptation",
   "zh": "稀疏高斯过程自适应",
   "level": "l2"
  },
  "CAP_818e9aed": {
   "en": "IMU State Propagation (EKF)",
   "zh": "IMU状态传播",
   "level": "l3"
  },
  "CAP_0caac453": {
   "en": "Wheel Velocity Observation Model",
   "zh": "轮速观测模型",
   "level": "l3"
  },
  "CAP_de31bc27": {
   "en": "Wheel Slip Detection",
   "zh": "轮速打滑检测",
   "level": "l3"
  },
  "CAP_04ca47be": {
   "en": "VIO-Wheel Sensor Synchronization",
   "zh": "视觉-惯性-轮速传感器同步",
   "level": "l2"
  },
  "CAP_970b0f30": {
   "en": "Tightly-coupled EKF Fusion",
   "zh": "紧耦合EKF融合",
   "level": "l2"
  },
  "CAP_5a5241d7": {
   "en": "VIO-Wheel Odometry State Management",
   "zh": "视觉-惯性-轮速里程计状态管理",
   "level": "l2"
  },
  "CAP_08b023ad": {
   "en": "VIO-Wheel Odometry State Output",
   "zh": "里程计状态输出",
   "level": "l3"
  },
  "CAP_e95d3d28": {
   "en": "Lidar-Visual-Inertial Factor Graph Construction",
   "zh": "激光-视觉-惯性因子图构建",
   "level": "l3"
  },
  "CAP_54ada128": {
   "en": "Incremental Smoothing and Mapping BA",
   "zh": "增量平滑与建图BA",
   "level": "l3"
  },
  "CAP_b08d4c02": {
   "en": "Multi-modal BA Residual Design",
   "zh": "多模态BA残差设计",
   "level": "l3"
  },
  "CAP_16cfdf08": {
   "en": "Covariance-aware Odometry Factor",
   "zh": "协方差感知里程计因子",
   "level": "l3"
  },
  "CAP_78ace683": {
   "en": "Multi-sensor Frontend Odometry",
   "zh": "多传感器前端里程计",
   "level": "l3"
  },
  "CAP_da8867c4": {
   "en": "Lidar-Visual-Inertial Sensor Sync",
   "zh": "激光-视觉-惯性传感器同步",
   "level": "l2"
  },
  "CAP_ed8126ff": {
   "en": "Lidar-Visual-Inertial Global Mapping",
   "zh": "激光-视觉-惯性全局建图",
   "level": "l2"
  },
  "CAP_67522541": {
   "en": "Global Map Management",
   "zh": "全局地图管理",
   "level": "l2"
  },
  "CAP_5b32a837": {
   "en": "Global Map Update and Publish",
   "zh": "全局地图更新与发布",
   "level": "l3"
  },
  "CAP_40ab5fdb": {
   "en": "Learned Multimodal Odometry Fusion",
   "zh": "学习型多模态里程计融合",
   "level": "l3"
  },
  "CAP_bb254e1e": {
   "en": "Dynamic Covariance Estimation",
   "zh": "动态协方差估计",
   "level": "l3"
  },
  "CAP_f407d1e1": {
   "en": "Online Fusion Adaptation",
   "zh": "在线融合自适应调优",
   "level": "l3"
  },
  "CAP_85a56726": {
   "en": "Multi-modal Odometry Frontend",
   "zh": "多模态里程计前端提取",
   "level": "l2"
  },
  "CAP_d607167b": {
   "en": "Learned Multimodal Fusion Pipeline",
   "zh": "学习型多模态融合流水线",
   "level": "l2"
  },
  "CAP_b9eaf454": {
   "en": "Cross-Source Semantic Embedding",
   "zh": "跨源语义嵌入",
   "level": "l3"
  },
  "CAP_fcfda48b": {
   "en": "Deviation Attribution",
   "zh": "偏差归因",
   "level": "l3"
  },
  "CAP_879ae76b": {
   "en": "Adaptive Filtering Executor",
   "zh": "自适应过滤执行器",
   "level": "l3"
  },
  "CAP_59ab4644": {
   "en": "Physical Plausibility Trajectory Ranking",
   "zh": "物理合理性轨迹排序",
   "level": "l2"
  },
  "CAP_c14394c7": {
   "en": "Inverse-Dynamics Torque Feasibility",
   "zh": "逆动力学力矩可行性",
   "level": "l3"
  },
  "CAP_037b27c3": {
   "en": "Energy Consistency Audit",
   "zh": "能量一致性审计",
   "level": "l3"
  },
  "CAP_df24ea37": {
   "en": "Mesh Penetration Detection",
   "zh": "网格穿透检测",
   "level": "l3"
  },
  "CAP_90379114": {
   "en": "Friction Cone Verification",
   "zh": "摩擦锥验证",
   "level": "l3"
  },
  "CAP_135e7a16": {
   "en": "Physical Plausibility Scoring",
   "zh": "物理合理性评分",
   "level": "l3"
  },
  "CAP_ee01e696": {
   "en": "Offline Data Reweighting",
   "zh": "离线数据重加权",
   "level": "l2"
  },
  "CAP_a7061f62": {
   "en": "Return-Conditioned Weighting",
   "zh": "基于回报的加权",
   "level": "l3"
  },
  "CAP_f68ef6b4": {
   "en": "Density Ratio Weighting",
   "zh": "密度比加权",
   "level": "l3"
  },
  "CAP_42de6556": {
   "en": "Adaptive Meta Weighting",
   "zh": "自适应元权重",
   "level": "l3"
  },
  "CAP_8cd94deb": {
   "en": "Offline Policy Evaluation Data Prep",
   "zh": "离线策略评估数据准备",
   "level": "l2"
  },
  "CAP_e72d97a3": {
   "en": "Importance Sampling Value Estimation",
   "zh": "重要性采样价值估计",
   "level": "l2"
  },
  "CAP_d24c27f8": {
   "en": "Offline Policy Evaluation Diagnostics",
   "zh": "离线策略评估诊断",
   "level": "l2"
  },
  "CAP_0493f140": {
   "en": "Policy Interface Alignment",
   "zh": "策略接口对齐",
   "level": "l3"
  },
  "CAP_8425fc3e": {
   "en": "Trajectory Importance Sampling",
   "zh": "轨迹重要性采样",
   "level": "l3"
  },
  "CAP_d9fd67c7": {
   "en": "Weighted Importance Sampling",
   "zh": "加权重要性采样",
   "level": "l3"
  },
  "CAP_7b8843ac": {
   "en": "Effective Sample Size Diagnostic",
   "zh": "有效样本量诊断",
   "level": "l3"
  },
  "CAP_3ab50737": {
   "en": "FQE Uncertainty-Aware Evaluation",
   "zh": "FQE不确定性感知评估",
   "level": "l2"
  },
  "CAP_8fca979e": {
   "en": "Uncertainty-Aware Value Estimation",
   "zh": "不确定性感知价值估计",
   "level": "l3"
  },
  "CAP_b047f12b": {
   "en": "Conservative Model Selection",
   "zh": "保守模型选择",
   "level": "l3"
  },
  "CAP_1444bd7a": {
   "en": "Conservative Q Manipulation",
   "zh": "保守价值估计与精细操控",
   "level": "l2"
  },
  "CAP_c1badc80": {
   "en": "Fine Manipulation Policy Learning",
   "zh": "精细操控策略学习",
   "level": "l3"
  },
  "CAP_479d3873": {
   "en": "Multi-modal Observation Fusion",
   "zh": "多模态观测融合",
   "level": "l3"
  },
  "CAP_29165f73": {
   "en": "Safe Deployment with Uncertainty",
   "zh": "不确定性感知安全部署",
   "level": "l3"
  },
  "CAP_8a26144e": {
   "en": "Model-Based Uncertainty-Aware Planning",
   "zh": "模型增强与不确定性感知规划",
   "level": "l2"
  },
  "CAP_4fec2180": {
   "en": "Safety Fallback Trigger",
   "zh": "安全回退触发器",
   "level": "l3"
  },
  "CAP_0bcd6ccc": {
   "en": "Scalable Multi-Task Pretraining",
   "zh": "大规模多任务与通用策略预训练",
   "level": "l2"
  },
  "CAP_a7786324": {
   "en": "Multi-Source Offline Data Aggregation",
   "zh": "多源离线数据聚合",
   "level": "l3"
  },
  "CAP_e07cbe74": {
   "en": "Task-Conditioned Policy Architecture",
   "zh": "任务条件化策略架构",
   "level": "l3"
  },
  "CAP_bec40986": {
   "en": "Cross-Embodiment Shared Representation",
   "zh": "跨形态共享表征",
   "level": "l3"
  },
  "CAP_325c3121": {
   "en": "Offline Finetuning with Pretrained Base",
   "zh": "基于预训练基座的离线微调",
   "level": "l3"
  },
  "CAP_b9c1757b": {
   "en": "Multimodal Costmap Construction",
   "zh": "多模态代价地图构建",
   "level": "l2"
  },
  "CAP_1f08380f": {
   "en": "Geometric Costmap Generation",
   "zh": "几何代价地图生成",
   "level": "l3"
  },
  "CAP_162ce0fc": {
   "en": "Semantic Costmap Generation",
   "zh": "语义代价地图生成",
   "level": "l3"
  },
  "CAP_410b7488": {
   "en": "Multimodal Costmap Fusion",
   "zh": "多模态代价地图融合",
   "level": "l3"
  },
  "CAP_b87cea48": {
   "en": "Geometry-Prioritized Local Planning",
   "zh": "几何优先局部规划",
   "level": "l2"
  },
  "CAP_d0e557e3": {
   "en": "Local Path Planning on Unified Costmap",
   "zh": "统一代价地图局部路径规划",
   "level": "l3"
  },
  "CAP_75b6fac4": {
   "en": "Self-Supervised Traversability Navigation",
   "zh": "自监督可通行性导航",
   "level": "l2"
  },
  "CAP_cb0c93c9": {
   "en": "Self-Supervised Label Generation & Online Learning",
   "zh": "自监督标签生成与在线学习",
   "level": "l3"
  },
  "CAP_bbe6b3ef": {
   "en": "Traversability Cost Mapping",
   "zh": "可通行性代价地图构建",
   "level": "l3"
  },
  "CAP_517ee06d": {
   "en": "Traversability To Planning",
   "zh": "可通行性到规划桥接",
   "level": "l3"
  },
  "CAP_dace36af": {
   "en": "Foundation-Model Open-Vocabulary Off-Road Navigation",
   "zh": "基础模型开放词汇越野导航",
   "level": "l2"
  },
  "CAP_ea69d79d": {
   "en": "Context-Aware Traversability Judgment",
   "zh": "情境感知可通行性判断",
   "level": "l3"
  },
  "CAP_34a8c9f3": {
   "en": "Visual-Marked Reference Path Generation",
   "zh": "视觉标记参考路径生成",
   "level": "l3"
  },
  "CAP_637adfdd": {
   "en": "VLA Speed-Curvature Trajectory Prediction",
   "zh": "VLA 速度-曲率轨迹预测",
   "level": "l3"
  },
  "CAP_b5f30e0b": {
   "en": "Visual Locomotion Policy Execution",
   "zh": "视觉运动控制策略执行",
   "level": "l3"
  },
  "CAP_3dcd2a05": {
   "en": "Omnidirectional Kinematic Open-Loop Control",
   "zh": "全向运动学开环控制",
   "level": "l2"
  },
  "CAP_e5dfcc06": {
   "en": "Command Saturation Limiter",
   "zh": "指令饱和限幅",
   "level": "l3"
  },
  "CAP_b865419e": {
   "en": "Ideal Inverse Kinematics Solver",
   "zh": "理想逆运动学解算",
   "level": "l3"
  },
  "CAP_239071bb": {
   "en": "Wheel Velocity Converter",
   "zh": "轮速量纲转换",
   "level": "l3"
  },
  "CAP_9b281c53": {
   "en": "Wheel Command Publishing",
   "zh": "轮速指令下发",
   "level": "l3"
  },
  "CAP_e0c1f59e": {
   "en": "Slip-Robust Odometry",
   "zh": "滑移鲁棒里程计",
   "level": "l2"
  },
  "CAP_4e8d5822": {
   "en": "IMU-Wheel Odometry Calibration",
   "zh": "IMU-轮速里程计标定",
   "level": "l3"
  },
  "CAP_8e3f172f": {
   "en": "Omnidirectional Forward Kinematics",
   "zh": "全向运动学正解",
   "level": "l3"
  },
  "CAP_a9c079d1": {
   "en": "Slip Detection from Residual",
   "zh": "基于残差的滑移检测",
   "level": "l3"
  },
  "CAP_efae6951": {
   "en": "Multi-sensor EKF Fusion",
   "zh": "多传感器 EKF 融合",
   "level": "l3"
  },
  "CAP_57fc0c2e": {
   "en": "Wheel Slip Compensation",
   "zh": "轮地滑移补偿",
   "level": "l3"
  },
  "CAP_71e91d8a": {
   "en": "Learned Dynamic WBC",
   "zh": "学习增强全身控制",
   "level": "l2"
  },
  "CAP_ce625960": {
   "en": "Online SysID Excitation",
   "zh": "系统辨识激励",
   "level": "l3"
  },
  "CAP_857351bb": {
   "en": "Uncertainty-Aware Gating",
   "zh": "不确定性感知门控",
   "level": "l3"
  },
  "CAP_75ba323a": {
   "en": "WBC QP with Learned Feedforward",
   "zh": "带学习前馈的全身控制 QP",
   "level": "l3"
  },
  "CAP_b7fe0332": {
   "en": "Degraded Kinematic Control",
   "zh": "降级运动学控制",
   "level": "l3"
  },
  "CAP_92de2eef": {
   "en": "Omnidirectional Platform Execution",
   "zh": "全向平台执行",
   "level": "l2"
  },
  "CAP_0a6d7633": {
   "en": "Load State Estimation",
   "zh": "负载状态估计",
   "level": "l2"
  },
  "CAP_0d1a3155": {
   "en": "Whole-Body Force-Position Synthesis",
   "zh": "全身力位混合综合",
   "level": "l2"
  },
  "CAP_d1445ef7": {
   "en": "Omnidirectional Platform Velocity Servo",
   "zh": "全向平台速度伺服",
   "level": "l3"
  },
  "CAP_ee16beff": {
   "en": "Payload Mass Com Identification",
   "zh": "负载质量质心辨识",
   "level": "l3"
  },
  "CAP_bd161a5c": {
   "en": "Holistic Jacobian Assembly",
   "zh": "全身增广雅可比装配",
   "level": "l3"
  },
  "CAP_a17808a1": {
   "en": "Platform Admittance Interface",
   "zh": "平台导纳接口",
   "level": "l3"
  },
  "CAP_1e3b7be3": {
   "en": "Dynamic Coupling Compensation",
   "zh": "臂-底座动态耦合补偿",
   "level": "l3"
  },
  "CAP_8c95be9a": {
   "en": "Joint Torque Admittance Control",
   "zh": "关节力矩导纳柔顺控制",
   "level": "l2"
  },
  "CAP_b70469b0": {
   "en": "Joint Torque Sensing",
   "zh": "关节力矩感知",
   "level": "l2"
  },
  "CAP_46a107fd": {
   "en": "Admittance Synthesis",
   "zh": "导纳柔顺综合",
   "level": "l2"
  },
  "CAP_7d2dc373": {
   "en": "Joint Torque Sensing and Preprocessing",
   "zh": "关节力矩感知与预处理",
   "level": "l3"
  },
  "CAP_6ee2cbf4": {
   "en": "Adaptive Impedance Tuning",
   "zh": "自适应阻抗调节",
   "level": "l3"
  },
  "CAP_e69949c3": {
   "en": "Motion Command Superposition",
   "zh": "运动指令修正与叠加",
   "level": "l3"
  },
  "CAP_18470967": {
   "en": "Torque Servo",
   "zh": "力矩伺服",
   "level": "l3"
  },
  "CAP_fe348e62": {
   "en": "RL Multimodal Force Policy",
   "zh": "强化学习多模态力控策略",
   "level": "l2"
  },
  "CAP_b71a2f13": {
   "en": "RL Load Adaptive Actor",
   "zh": "RL 负载自适应策略网络",
   "level": "l3"
  },
  "CAP_48428164": {
   "en": "RL Reward Composition",
   "zh": "RL 奖励函数设计",
   "level": "l3"
  },
  "CAP_58c64e24": {
   "en": "RL Force Smooth Postprocess",
   "zh": "RL 力控平滑后处理",
   "level": "l3"
  },
  "CAP_3e21ea47": {
   "en": "RL Sim2Real Finetuner",
   "zh": "RL Sim2Real 微调器",
   "level": "l3"
  },
  "CAP_2167fd12": {
   "en": "Gimbal Disturbance Sensing",
   "zh": "云台扰动感知",
   "level": "l2"
  },
  "CAP_5440425e": {
   "en": "Gimbal Feedforward Compensation",
   "zh": "云台前馈补偿",
   "level": "l2"
  },
  "CAP_d4e0cd15": {
   "en": "Gimbal Cascaded Servo",
   "zh": "云台级联伺服锁定",
   "level": "l2"
  },
  "CAP_519292cd": {
   "en": "Gimbal Adaptive Control",
   "zh": "云台自适应控制",
   "level": "l2"
  },
  "CAP_1c0b646a": {
   "en": "Feedforward Torque Compensation",
   "zh": "前馈转矩补偿",
   "level": "l3"
  },
  "CAP_996a4b17": {
   "en": "Cascaded Servo Lock",
   "zh": "级联伺服锁定",
   "level": "l3"
  },
  "CAP_eac2c369": {
   "en": "Legged Base State Estimation",
   "zh": "足式基座状态估计",
   "level": "l2"
  },
  "CAP_99795bf0": {
   "en": "Legged Trajectory Generation",
   "zh": "足式轨迹生成",
   "level": "l2"
  },
  "CAP_5b3b9041": {
   "en": "Legged Joint Servo Control",
   "zh": "足式关节伺服控制",
   "level": "l2"
  },
  "CAP_b3245676": {
   "en": "Legged Contact Detection Control",
   "zh": "足式接触检测控制",
   "level": "l2"
  },
  "CAP_d3161908": {
   "en": "Legged Trajectory Planning",
   "zh": "足式轨迹规划",
   "level": "l3"
  },
  "CAP_5f78eb75": {
   "en": "Contact Force Redistribution",
   "zh": "接触力重分配",
   "level": "l3"
  },
  "CAP_b7a93760": {
   "en": "Legged Joint Servo",
   "zh": "足式关节伺服",
   "level": "l3"
  },
  "CAP_40c3df69": {
   "en": "Slip Gait Recovery",
   "zh": "打滑步态恢复",
   "level": "l3"
  },
  "CAP_e0ccfbfc": {
   "en": "Omnidirectional MPC Trajectory Tracking",
   "zh": "全向模型预测轨迹跟踪",
   "level": "l2"
  },
  "CAP_1f3b4a2c": {
   "en": "MPC Omni Linear Tracking",
   "zh": "全向线性MPC跟踪",
   "level": "l3"
  },
  "CAP_49af9af9": {
   "en": "MPC Omni Disturbance Observer",
   "zh": "全向MPC扰动观测",
   "level": "l3"
  },
  "CAP_eedcfc71": {
   "en": "MPC Omni Nonlinear Tracking",
   "zh": "全向非线性MPC跟踪",
   "level": "l3"
  },
  "CAP_2ff7d31b": {
   "en": "MPC Omni Explicit Tracking",
   "zh": "全向显式MPC跟踪",
   "level": "l3"
  },
  "CAP_54a7c494": {
   "en": "Omnidirectional State Estimation",
   "zh": "全向状态估计",
   "level": "l3"
  },
  "CAP_9bd6cd4c": {
   "en": "Omnidirectional Inverse Kinematics",
   "zh": "全向逆运动学解算",
   "level": "l3"
  },
  "CAP_d2f9bdb6": {
   "en": "Omnidirectional Wheel Speed Control",
   "zh": "全向轮转速闭环控制",
   "level": "l3"
  },
  "CAP_84cda02a": {
   "en": "MPC Method Selection",
   "zh": "MPC求解器选型",
   "level": "l3"
  },
  "CAP_abe98636": {
   "en": "MPC Control Decode",
   "zh": "MPC控制量解算限幅",
   "level": "l3"
  },
  "CAP_624fb7c3": {
   "en": "Legged RL Blind Omnidirectional Tracking",
   "zh": "足式全向盲走RL跟踪",
   "level": "l2"
  },
  "CAP_4022eb4f": {
   "en": "Blind Omnidirectional Velocity Tracking",
   "zh": "足式盲走全向速度跟踪",
   "level": "l3"
  },
  "CAP_68086fab": {
   "en": "Legged Gait Pattern Modulation",
   "zh": "足式步态模式调制",
   "level": "l3"
  },
  "CAP_001ad7a8": {
   "en": "Disturbance Recovery Blind",
   "zh": "盲走扰动自主恢复",
   "level": "l3"
  },
  "CAP_cae1f240": {
   "en": "Legged Proprioceptive State Estimation",
   "zh": "足式本体感知状态估计",
   "level": "l3"
  },
  "CAP_e91be4d1": {
   "en": "Legged Joint PD Control",
   "zh": "足式关节PD控制",
   "level": "l3"
  },
  "CAP_166f615e": {
   "en": "Diffusion-policy Embodied Omnidirectional Tracking",
   "zh": "扩散策略端到端全向跟踪",
   "level": "l2"
  },
  "CAP_b8409b23": {
   "en": "Diffusion Policy Omnidirectional Tracking",
   "zh": "扩散策略全向轨迹跟踪",
   "level": "l3"
  },
  "CAP_7703acf4": {
   "en": "Action Sequence Smoothing",
   "zh": "动作序列平滑后处理",
   "level": "l3"
  },
  "CAP_9f7bb82d": {
   "en": "Trajectory Error Computation",
   "zh": "轨迹误差计算",
   "level": "l3"
  },
  "CAP_d165fe58": {
   "en": "Omnidirectional Chassis Command Dispatch",
   "zh": "全向底盘指令下发",
   "level": "l3"
  },
  "CAP_db3aed6f": {
   "en": "2D Foundation Keypoint Trajectory Transfer",
   "zh": "2D 基础模型关键点轨迹迁移",
   "level": "l2"
  },
  "CAP_f5c75dcf": {
   "en": "Sparse Keypoint Annotation",
   "zh": "稀疏关键点标注",
   "level": "l3"
  },
  "CAP_a8da0e29": {
   "en": "Cross-Instance Keypoint Matching",
   "zh": "跨实例关键点匹配",
   "level": "l3"
  },
  "CAP_fb6a9265": {
   "en": "Trajectory Warping (TPS)",
   "zh": "轨迹薄板样条变形",
   "level": "l3"
  },
  "CAP_6c3ca6ec": {
   "en": "NeRF Distillation 6-DoF Pose Closed-Loop Manipulation",
   "zh": "神经场蒸馏 6-DoF 姿态闭环操作",
   "level": "l2"
  },
  "CAP_0eeab2f0": {
   "en": "Fast Radiance Field Reconstruction",
   "zh": "快速神经场重建",
   "level": "l3"
  },
  "CAP_238c6703": {
   "en": "NeRF-based 6-DoF Pose Tracking",
   "zh": "基于神经场的 6-DoF 姿态追踪",
   "level": "l3"
  },
  "CAP_edb357ba": {
   "en": "One-Shot Grasp Planning on Implicit Surface",
   "zh": "隐式表面单样本抓取规划",
   "level": "l3"
  },
  "CAP_902a45e2": {
   "en": "Category-Agnostic Initial Pose Estimation",
   "zh": "无类别初始姿态估计",
   "level": "l3"
  },
  "CAP_057459e3": {
   "en": "Closed-Loop Visual Servoing Execution",
   "zh": "闭环视觉伺服执行",
   "level": "l3"
  },
  "CAP_9db3d7d3": {
   "en": "Dexterous Contact Perception",
   "zh": "灵巧操作接触感知",
   "level": "l2"
  },
  "CAP_e7b9a47c": {
   "en": "Nonstationarity Detection",
   "zh": "非平稳性变化检测",
   "level": "l2"
  },
  "CAP_691ab5bd": {
   "en": "Contact Dynamics Model Adaptation",
   "zh": "接触动力学模型自适应",
   "level": "l2"
  },
  "CAP_739d28bb": {
   "en": "Safe Adaptation Policy Update",
   "zh": "安全约束策略在线适配",
   "level": "l2"
  },
  "CAP_ec5119a6": {
   "en": "Contact Model Online Adaptation",
   "zh": "接触模型在线自适应",
   "level": "l3"
  },
  "CAP_53bf981a": {
   "en": "Visual Place Recognition Online",
   "zh": "视觉地点识别在线自适应",
   "level": "l2"
  },
  "CAP_d6f47cf7": {
   "en": "Semantic Map Online Updating",
   "zh": "语义地图在线更新",
   "level": "l2"
  },
  "CAP_78b87e58": {
   "en": "Local Motion Planning Adaptation",
   "zh": "局部运动规划自适应",
   "level": "l2"
  },
  "CAP_84a2e686": {
   "en": "Experience Based Path Adaptation",
   "zh": "基于经验的路径自适应",
   "level": "l2"
  },
  "CAP_2d589864": {
   "en": "Lifelong Visual Place Recognition",
   "zh": "终身视觉地点识别",
   "level": "l3"
  },
  "CAP_d30c2454": {
   "en": "Multi-Agent Policy Symbiosis Pipeline",
   "zh": "多智能体策略共生学习流水线",
   "level": "l2"
  },
  "CAP_13a4f531": {
   "en": "Online Teacher Policy Update",
   "zh": "教师在线策略更新",
   "level": "l3"
  },
  "CAP_ff3ce262": {
   "en": "Response-Based Distillation Dispatch",
   "zh": "基于响应的蒸馏分发",
   "level": "l3"
  },
  "CAP_09646e73": {
   "en": "Local Adaptation with Retention",
   "zh": "带保留的本地自适应",
   "level": "l3"
  },
  "CAP_f1644e33": {
   "en": "Symbiosis Weighted Aggregation",
   "zh": "共生加权融合",
   "level": "l3"
  },
  "CAP_1569b612": {
   "en": "Online Ensemble Adaptation",
   "zh": "在线集成适应",
   "level": "l3"
  },
  "CAP_06b57991": {
   "en": "Online Distillation with Uncertainty",
   "zh": "带不确定性的在线蒸馏",
   "level": "l3"
  },
  "CAP_21056f20": {
   "en": "Safety Fallback with Performance Monitoring",
   "zh": "带性能监控的安全回退",
   "level": "l3"
  },
  "CAP_1567c5cb": {
   "en": "Online Ensemble-Guided Visual Navigation Pipeline",
   "zh": "在线集成引导视觉导航流水线",
   "level": "l2"
  },
  "CAP_20e075cd": {
   "en": "Modality-Specific Encoding",
   "zh": "模态特异性编码",
   "level": "l3"
  },
  "CAP_e7fe329f": {
   "en": "Cross-Modal Projection",
   "zh": "跨模态投影",
   "level": "l3"
  },
  "CAP_4e1cbbbe": {
   "en": "Temporal Feature Alignment",
   "zh": "时序特征对齐",
   "level": "l3"
  },
  "CAP_9ae7949d": {
   "en": "Contrastive Distillation Loss",
   "zh": "对比蒸馏损失",
   "level": "l3"
  },
  "CAP_89bae898": {
   "en": "Online Teacher EMA Update",
   "zh": "在线教师EMA更新",
   "level": "l3"
  },
  "CAP_9c85a45f": {
   "en": "Cross-Modal Feature Alignment Distillation Pipeline",
   "zh": "跨形态特征对齐蒸馏流水线",
   "level": "l2"
  },
  "CAP_76745329": {
   "en": "Kinematic Residual Joint Health Monitoring",
   "zh": "基于运动学残差的关节退化监测",
   "level": "l2"
  },
  "CAP_5be1a5a7": {
   "en": "Kinematic Residual Generation",
   "zh": "运动学残差生成",
   "level": "l3"
  },
  "CAP_b2696455": {
   "en": "Sliding Window Statistical Feature Extraction",
   "zh": "滑动窗口统计特征提取",
   "level": "l3"
  },
  "CAP_94082713": {
   "en": "Model Based Anomaly Detection For Joints",
   "zh": "基于模型的关节异常检测",
   "level": "l3"
  },
  "CAP_375912cf": {
   "en": "Multi Joint Causal Isolation",
   "zh": "多关节因果隔离",
   "level": "l3"
  },
  "CAP_e26d1b50": {
   "en": "Multimodal EEF Health Assessment",
   "zh": "多模态末端执行器触觉健康评估",
   "level": "l2"
  },
  "CAP_69a26ff8": {
   "en": "Multimodal Signal Acquisition",
   "zh": "多模态信号同步采集",
   "level": "l3"
  },
  "CAP_ed51cf97": {
   "en": "Degradation Trend Modeling",
   "zh": "退化趋势建模",
   "level": "l3"
  },
  "CAP_8dbccfd2": {
   "en": "Threshold Alert Decision",
   "zh": "阈值预警决策",
   "level": "l3"
  },
  "CAP_9a202a1a": {
   "en": "Digital Twin Sync Calibrator",
   "zh": "数字孪生同步校准器",
   "level": "l3"
  },
  "CAP_594c6554": {
   "en": "Degradation Feature Extractor",
   "zh": "退化特征提取器",
   "level": "l3"
  },
  "CAP_f2fb298a": {
   "en": "Causal Graph Builder",
   "zh": "因果图构建器",
   "level": "l3"
  },
  "CAP_7184cade": {
   "en": "Alert With Causal Explanation",
   "zh": "带因果解释的预警",
   "level": "l3"
  },
  "CAP_036e964b": {
   "en": "Semantic Residual Contact Perception",
   "zh": "语义残差接触感知",
   "level": "l2"
  },
  "CAP_ab739764": {
   "en": "Semantic Residual Mapping",
   "zh": "语义残差映射",
   "level": "l2"
  },
  "CAP_bbacdaed": {
   "en": "Semantic Residual Update and Execution",
   "zh": "语义残差更新与执行",
   "level": "l2"
  },
  "CAP_bb066d1c": {
   "en": "Contact Semantic Encoding",
   "zh": "接触语义编码",
   "level": "l3"
  },
  "CAP_48312bbe": {
   "en": "Heuristic Param Mapping",
   "zh": "启发式参数映射",
   "level": "l3"
  },
  "CAP_9ffb562f": {
   "en": "Online Heuristic Update",
   "zh": "在线启发式更新",
   "level": "l3"
  },
  "CAP_f6457837": {
   "en": "Legged Proprioceptive Perception",
   "zh": "足式本体感知",
   "level": "l2"
  },
  "CAP_0690604d": {
   "en": "Online Terrain Parameter Estimation",
   "zh": "在线地形参数估计",
   "level": "l2"
  },
  "CAP_627ca2c2": {
   "en": "Adaptive Heuristic Generation",
   "zh": "自适应启发式生成",
   "level": "l2"
  },
  "CAP_46ad7dd1": {
   "en": "Proprioceptive Signal Acquisition",
   "zh": "本体感知信号采集",
   "level": "l3"
  },
  "CAP_530d2b1c": {
   "en": "Terrain Parameter Estimation",
   "zh": "地形参数在线估计",
   "level": "l3"
  },
  "CAP_b22c947f": {
   "en": "Heuristic Adaptation",
   "zh": "启发式自适应生成",
   "level": "l3"
  },
  "CAP_43bc6b94": {
   "en": "Multimodal Assembly Perception",
   "zh": "多模态装配感知",
   "level": "l2"
  },
  "CAP_526d1a1e": {
   "en": "Variable Impedance Adaptation",
   "zh": "变阻抗自适应",
   "level": "l2"
  },
  "CAP_c600da0f": {
   "en": "Assembly Force-Position Execution",
   "zh": "装配力位混合执行",
   "level": "l2"
  },
  "CAP_26b92626": {
   "en": "Assembly Strategy Selector",
   "zh": "装配策略选择",
   "level": "l3"
  },
  "CAP_2c0e25b6": {
   "en": "Population Initialization and Management",
   "zh": "种群初始化与管理",
   "level": "l3"
  },
  "CAP_91b78991": {
   "en": "Parallel Training Orchestration",
   "zh": "并行训练编排",
   "level": "l3"
  },
  "CAP_aca54494": {
   "en": "Fitness-Based Selection",
   "zh": "基于性能的精英选择",
   "level": "l3"
  },
  "CAP_5f0a24b2": {
   "en": "Hyperparameter Mutation",
   "zh": "超参数变异",
   "level": "l3"
  },
  "CAP_428a7c0e": {
   "en": "Bandit Mutation Control",
   "zh": "基于老虎机的变异幅度控制",
   "level": "l3"
  },
  "CAP_a0b980d8": {
   "en": "Meta-Gradient Adaptive Control",
   "zh": "元梯度自适应控制",
   "level": "l2"
  },
  "CAP_4c06d67c": {
   "en": "Meta-Gradient Online Adaptation",
   "zh": "元梯度在线自适应",
   "level": "l3"
  },
  "CAP_0f0aefd9": {
   "en": "Online Performance Monitoring",
   "zh": "在线性能监控",
   "level": "l3"
  },
  "CAP_558cb15a": {
   "en": "Inner-Loop Policy Optimization",
   "zh": "内层策略优化",
   "level": "l3"
  },
  "CAP_2e7e73ed": {
   "en": "Safety-Guaranteed Adaptation",
   "zh": "安全保证自适应",
   "level": "l3"
  },
  "CAP_871d358c": {
   "en": "Meta-Dataset Construction",
   "zh": "元数据集构建",
   "level": "l3"
  },
  "CAP_b7cf7283": {
   "en": "Bayesian Online Parameter Optimization",
   "zh": "贝叶斯在线参数优化",
   "level": "l3"
  },
  "CAP_8b206b49": {
   "en": "Multi-Fidelity Bayesian Optimization",
   "zh": "多保真度贝叶斯优化",
   "level": "l3"
  },
  "CAP_a6c6121a": {
   "en": "Contextual Bayesian Optimization",
   "zh": "上下文贝叶斯优化",
   "level": "l3"
  },
  "CAP_8b399e6b": {
   "en": "Online GP Hyperparameter Learning",
   "zh": "GP超参数在线学习",
   "level": "l3"
  },
  "CAP_76394b12": {
   "en": "RRTX Graph Rewiring Cascade",
   "zh": "RRT× 图重连级联",
   "level": "l3"
  },
  "CAP_e939ed21": {
   "en": "EGO Esdf-Free Rebound Gradient Repair",
   "zh": "EGO 无 ESDF 反弹梯度修复",
   "level": "l3"
  },
  "CAP_b5becd36": {
   "en": "Optimization-based Online Trajectory Planning",
   "zh": "基于优化的在线轨迹规划",
   "level": "l2"
  },
  "CAP_3de435f4": {
   "en": "Sampling-based Topological Path Search",
   "zh": "基于采样的拓扑路径搜索",
   "level": "l3"
  },
  "CAP_82837ad9": {
   "en": "Learning-Augmented Online Motion Planning",
   "zh": "学习增强在线运动规划",
   "level": "l2"
  },
  "CAP_1238c594": {
   "en": "PointCloud to Collision-Free JointVel",
   "zh": "点云到无碰撞关节速度",
   "level": "l3"
  },
  "CAP_acd8e38b": {
   "en": "NeRF for Occupancy Query",
   "zh": "神经辐射场占据查询",
   "level": "l3"
  },
  "CAP_0248a258": {
   "en": "DepthImage to EndEffector Pose",
   "zh": "深度图到末端位姿",
   "level": "l3"
  },
  "CAP_ee0cb767": {
   "en": "Task Publishing & Perception",
   "zh": "任务发布与感知",
   "level": "l2"
  },
  "CAP_5a92f82a": {
   "en": "Bid Value Computation",
   "zh": "投标价值计算",
   "level": "l2"
  },
  "CAP_d02d20d2": {
   "en": "Auctioneer Coordination",
   "zh": "拍卖师协调",
   "level": "l2"
  },
  "CAP_f11693b4": {
   "en": "Contract Signing & Execution",
   "zh": "合同签订与执行",
   "level": "l2"
  },
  "CAP_4bb3ef00": {
   "en": "Auctioneer Protocol",
   "zh": "拍卖师协议",
   "level": "l3"
  },
  "CAP_5ab1124d": {
   "en": "Dynamic Rebid Trigger",
   "zh": "动态重拍触发",
   "level": "l3"
  },
  "CAP_97c4700b": {
   "en": "MDP Problem Formulation",
   "zh": "问题建模与 MDP 构建",
   "level": "l2"
  },
  "CAP_6aa36a4c": {
   "en": "CTDE Training Stage",
   "zh": "CTDE 训练阶段",
   "level": "l2"
  },
  "CAP_8c7486b3": {
   "en": "Simulation & Interaction Stage",
   "zh": "仿真环境与交互阶段",
   "level": "l2"
  },
  "CAP_ab9c9e4c": {
   "en": "Deployment Stage",
   "zh": "部署与在线决策阶段",
   "level": "l2"
  },
  "CAP_3dcd785b": {
   "en": "GNN Policy Network",
   "zh": "图神经网络策略网络",
   "level": "l3"
  },
  "CAP_386172db": {
   "en": "Simulation Environment Interface",
   "zh": "仿真环境接口",
   "level": "l3"
  },
  "CAP_5328918c": {
   "en": "Semantic Parsing Stage",
   "zh": "任务语义解析阶段",
   "level": "l2"
  },
  "CAP_b2d3ce83": {
   "en": "Robot Semantic Modeling Stage",
   "zh": "机器人语义建模阶段",
   "level": "l2"
  },
  "CAP_663ecd99": {
   "en": "Semantic Matching Stage",
   "zh": "语义匹配与决策阶段",
   "level": "l2"
  },
  "CAP_dff0ef26": {
   "en": "Feedback Adaptation Stage",
   "zh": "反馈与自适应阶段",
   "level": "l2"
  },
  "CAP_451643f2": {
   "en": "Robot Semantic Modeling",
   "zh": "机器人语义建模",
   "level": "l3"
  },
  "CAP_1efccd4a": {
   "en": "LLM Semantic Matching",
   "zh": "LLM 语义匹配",
   "level": "l3"
  },
  "CAP_752673db": {
   "en": "Multi-modal Data Preprocessing",
   "zh": "多模态数据预处理",
   "level": "l3"
  },
  "CAP_77301bc1": {
   "en": "Multimodal Ontology Classification",
   "zh": "多模态本体分类",
   "level": "l2"
  },
  "CAP_b8104fc2": {
   "en": "Active Information Acquisition",
   "zh": "主动信息获取",
   "level": "l3"
  },
  "CAP_48c1fc57": {
   "en": "Ontology Knowledge Publishing",
   "zh": "本体知识发布",
   "level": "l2"
  },
  "CAP_1ce10c0c": {
   "en": "Ontology Knowledge Update",
   "zh": "本体知识更新",
   "level": "l3"
  },
  "CAP_c95169a9": {
   "en": "3D Scene Graph Ontology Classification",
   "zh": "3D 场景图本体分类",
   "level": "l2"
  },
  "CAP_d664bfbb": {
   "en": "Incremental Ontology Update",
   "zh": "增量本体更新",
   "level": "l3"
  },
  "CAP_90202ef1": {
   "en": "Neuro-Symbolic Ontology Classification",
   "zh": "神经符号本体分类",
   "level": "l3"
  },
  "CAP_14a1c9a8": {
   "en": "Ontology Knowledge Graph Loading",
   "zh": "本体知识图谱加载与对齐",
   "level": "l3"
  },
  "CAP_78a475e8": {
   "en": "Zero-Shot Graph Classifier Synthesis",
   "zh": "零样本图分类器合成",
   "level": "l3"
  },
  "CAP_bad4b720": {
   "en": "DL Ontology Consistency Checking",
   "zh": "描述逻辑本体一致性检查",
   "level": "l2"
  },
  "CAP_b73b9cff": {
   "en": "Ontology Parsing and Normalization",
   "zh": "本体解析与规范化",
   "level": "l3"
  },
  "CAP_020deacd": {
   "en": "TBox Satisfiability Checking",
   "zh": "TBox 可满足性检查",
   "level": "l3"
  },
  "CAP_7e0a5507": {
   "en": "ABox Consistency Checking",
   "zh": "ABox 一致性检查",
   "level": "l3"
  },
  "CAP_98d64968": {
   "en": "SWRL Rule Consistency Checking",
   "zh": "SWRL 规则一致性检查",
   "level": "l3"
  },
  "CAP_58bda950": {
   "en": "Inconsistency Explanation",
   "zh": "不一致性解释",
   "level": "l3"
  },
  "CAP_73e9e75a": {
   "en": "Incremental Consistency Checking",
   "zh": "增量一致性检查",
   "level": "l3"
  },
  "CAP_ca003c8a": {
   "en": "Spatio-Temporal Ontology Consistency Checking",
   "zh": "时空本体一致性检查",
   "level": "l2"
  },
  "CAP_dd0b19f1": {
   "en": "Ontology Constraint Encoding",
   "zh": "本体约束编码",
   "level": "l3"
  },
  "CAP_37826cdf": {
   "en": "GNN Semantic Consistency Reasoning",
   "zh": "GNN 语义一致性推理",
   "level": "l3"
  },
  "CAP_bb468948": {
   "en": "Conflict Explanation Generation",
   "zh": "冲突解释生成",
   "level": "l3"
  },
  "CAP_88e91fb3": {
   "en": "Generative Counterfactual Consistency Checking",
   "zh": "生成式反事实一致性检查",
   "level": "l2"
  },
  "CAP_388a6526": {
   "en": "VLM Counterfactual Consistency Checking",
   "zh": "VLM 反事实一致性检查",
   "level": "l3"
  },
  "CAP_03f855eb": {
   "en": "Counterfactual Scene Generation",
   "zh": "反事实场景生成",
   "level": "l3"
  },
  "CAP_a57a1222": {
   "en": "Multimodal Scene Rendering",
   "zh": "多模态场景渲染",
   "level": "l3"
  },
  "CAP_080f8973": {
   "en": "VLM Contradiction Reasoning",
   "zh": "VLM 矛盾推理",
   "level": "l3"
  },
  "CAP_623dcf82": {
   "en": "Physical Property Extraction",
   "zh": "物理属性提取",
   "level": "l3"
  },
  "CAP_c8731df1": {
   "en": "Ontology Alignment Mapping",
   "zh": "本体对齐映射",
   "level": "l3"
  },
  "CAP_1aecc3f0": {
   "en": "Functional Role Classification",
   "zh": "功能角色分类",
   "level": "l3"
  },
  "CAP_9c32289d": {
   "en": "Physical Ontology Instantiation",
   "zh": "物理本体实例化",
   "level": "l2"
  },
  "CAP_2c914051": {
   "en": "Functional Ontology Alignment",
   "zh": "功能本体对齐",
   "level": "l2"
  },
  "CAP_484f658f": {
   "en": "Functional Ontology Integration",
   "zh": "功能本体集成",
   "level": "l2"
  },
  "CAP_8520e3fa": {
   "en": "VLM Scene Graph Construction",
   "zh": "VLM场景图构建",
   "level": "l3"
  },
  "CAP_e07b9e7c": {
   "en": "LLM Contextual Alignment",
   "zh": "LLM上下文对齐",
   "level": "l3"
  },
  "CAP_9433a226": {
   "en": "Alignment Verification and Refinement",
   "zh": "对齐验证与修正",
   "level": "l3"
  },
  "CAP_1c807d75": {
   "en": "Task Ontology Instantiation",
   "zh": "任务本体实例化",
   "level": "l2"
  },
  "CAP_bcad0d2d": {
   "en": "Scene Ontology Construction",
   "zh": "场景本体构建",
   "level": "l2"
  },
  "CAP_083c2a68": {
   "en": "Dynamic Ontology Alignment",
   "zh": "动态本体对齐",
   "level": "l2"
  },
  "CAP_c2015eff": {
   "en": "Memory Planning and Reuse",
   "zh": "内存规划与复用",
   "level": "l3"
  },
  "CAP_02f45e41": {
   "en": "Auto Scheduling and Tuning",
   "zh": "自动调度与调优",
   "level": "l3"
  },
  "CAP_20404110": {
   "en": "Sparse Computation Codegen",
   "zh": "稀疏计算代码生成",
   "level": "l3"
  },
  "CAP_04eaa046": {
   "en": "LLM On-Device Quantized Deployment",
   "zh": "大模型端侧量化部署",
   "level": "l2"
  },
  "CAP_ba13b308": {
   "en": "ONNX Model Export",
   "zh": "ONNX模型导出",
   "level": "l3"
  },
  "CAP_9b5db0bc": {
   "en": "TensorRT Engine Build",
   "zh": "TensorRT引擎构建",
   "level": "l3"
  },
  "CAP_4272eb01": {
   "en": "ExecuTorch Program Build",
   "zh": "ExecuTorch程序构建",
   "level": "l3"
  },
  "CAP_9a7fe2fc": {
   "en": "Multi-Model Edge Scheduling",
   "zh": "端侧多模型调度",
   "level": "l3"
  },
  "CAP_c873f31a": {
   "en": "On-Device Performance Benchmark",
   "zh": "端侧性能基准测试",
   "level": "l3"
  },
  "CAP_ed96449e": {
   "en": "ViT Lightweight Design",
   "zh": "视觉Transformer轻量化设计",
   "level": "l2"
  },
  "CAP_3358891d": {
   "en": "Token Merging Reduction",
   "zh": "Token合并与剪枝",
   "level": "l3"
  },
  "CAP_d2bc8fc2": {
   "en": "Window Attention Replacement",
   "zh": "窗口注意力替换",
   "level": "l3"
  },
  "CAP_32095a29": {
   "en": "FFN Low-Rank Decomposition",
   "zh": "FFN低秩分解",
   "level": "l3"
  },
  "CAP_6bb7daa6": {
   "en": "Hybrid CNN-Transformer Stem",
   "zh": "混合CNN-Transformer主干",
   "level": "l3"
  },
  "CAP_1971a41e": {
   "en": "Hardware-Aware ViT NAS",
   "zh": "硬件感知ViT架构搜索",
   "level": "l3"
  },
  "CAP_433b027a": {
   "en": "High-speed Visual Servo Control",
   "zh": "高速视觉伺服控制",
   "level": "l2"
  },
  "CAP_e919e37a": {
   "en": "On-device Image Capture",
   "zh": "端侧图像采集",
   "level": "l3"
  },
  "CAP_8daa44a1": {
   "en": "On-device Feature Extraction",
   "zh": "端侧特征提取",
   "level": "l3"
  },
  "CAP_a6cd9b4f": {
   "en": "On-device Pose Estimation",
   "zh": "端侧位姿估计",
   "level": "l3"
  },
  "CAP_dc373bfd": {
   "en": "Motor Command Execution",
   "zh": "电机指令执行",
   "level": "l3"
  },
  "CAP_5a561946": {
   "en": "Local Buffer Management",
   "zh": "本地缓冲管理",
   "level": "l3"
  },
  "CAP_7afc187d": {
   "en": "Onboard Multimodal SLAM",
   "zh": "端侧多模态SLAM",
   "level": "l2"
  },
  "CAP_7d8dc75b": {
   "en": "Map Desensitization",
   "zh": "地图脱敏",
   "level": "l3"
  },
  "CAP_620e8f62": {
   "en": "Observation/Action Space Definition",
   "zh": "观测动作空间定义",
   "level": "l3"
  },
  "CAP_802a24ad": {
   "en": "PPO Loco-Manip Env Interface",
   "zh": "PPO全身控制环境与接口",
   "level": "l2"
  },
  "CAP_9da94290": {
   "en": "PPO Loco-Manip Training Design",
   "zh": "PPO全身控制训练设计",
   "level": "l2"
  },
  "CAP_90d32751": {
   "en": "PPO Loco-Manip Robust Deploy",
   "zh": "PPO全身控制鲁棒部署",
   "level": "l2"
  },
  "CAP_46f68c85": {
   "en": "Uncertainty-Penalized Reward",
   "zh": "不确定性惩罚奖励",
   "level": "l3"
  },
  "CAP_88f9674c": {
   "en": "Mixed-Data PPO Update",
   "zh": "混合数据PPO更新",
   "level": "l3"
  },
  "CAP_7a184bf3": {
   "en": "Model-Augmented RL Real Data",
   "zh": "模型辅助在线自适应·真实数据与建模",
   "level": "l2"
  },
  "CAP_c217c645": {
   "en": "Model-Augmented RL Imagination Train",
   "zh": "模型辅助在线自适应·想象与训练",
   "level": "l2"
  },
  "CAP_6c8ef4c9": {
   "en": "Uncertainty-Aware Stop and Retraction",
   "zh": "不确定性感知急停与回缩",
   "level": "l2"
  },
  "CAP_054e1ff1": {
   "en": "Uncertainty Signal Acquisition and Filtering",
   "zh": "不确定性信号接入与滤波",
   "level": "l2"
  },
  "CAP_ae5b0fb2": {
   "en": "Safety Decision and Command Generation",
   "zh": "安全决策与指令生成",
   "level": "l2"
  },
  "CAP_8d2d70fe": {
   "en": "Safety Execution Monitoring",
   "zh": "安全执行监控",
   "level": "l2"
  },
  "CAP_f3d70de0": {
   "en": "Uncertainty Signal Reception",
   "zh": "不确定性信号接收",
   "level": "l3"
  },
  "CAP_82a32bfc": {
   "en": "Uncertainty Temporal Filter",
   "zh": "不确定性时序滤波",
   "level": "l3"
  },
  "CAP_3c40e8d9": {
   "en": "Safety State Machine",
   "zh": "安全状态机",
   "level": "l3"
  },
  "CAP_fd59b97f": {
   "en": "Uncertainty Threshold Stop",
   "zh": "不确定性阈值急停",
   "level": "l3"
  },
  "CAP_5795426e": {
   "en": "Uncertainty Aware Retraction",
   "zh": "不确定性感知回缩",
   "level": "l3"
  },
  "CAP_4ccc862a": {
   "en": "Conservative Motion Command",
   "zh": "保守运动指令",
   "level": "l3"
  },
  "CAP_62747fd4": {
   "en": "Execution Feedback Monitor",
   "zh": "执行反馈监控",
   "level": "l3"
  },
  "CAP_0285fa64": {
   "en": "Diffusion Reconstruction OOD Fallback",
   "zh": "扩散重建误差语义回退",
   "level": "l2"
  },
  "CAP_4915cf3e": {
   "en": "Diffusion Reconstruction Pipeline",
   "zh": "扩散重建流水线",
   "level": "l2"
  },
  "CAP_cb0da325": {
   "en": "Semantic Error Scoring and OOD Decision",
   "zh": "多尺度误差计算与OOD判定",
   "level": "l2"
  },
  "CAP_60c9bc6c": {
   "en": "Hierarchical Safety Fallback",
   "zh": "分层安全回退",
   "level": "l2"
  },
  "CAP_9ea567cb": {
   "en": "ROI Extract and Normalize",
   "zh": "ROI提取与归一化",
   "level": "l3"
  },
  "CAP_449a322d": {
   "en": "Diffusion Reconstruction Error Estimation",
   "zh": "扩散重建误差估计",
   "level": "l3"
  },
  "CAP_f3e4d77c": {
   "en": "Hierarchical Fallback Execution",
   "zh": "分层安全回退执行",
   "level": "l3"
  },
  "CAP_405966e1": {
   "en": "Diffusion Model Runtime Monitor",
   "zh": "扩散模型运行时监控",
   "level": "l3"
  },
  "CAP_21241d84": {
   "en": "VLA Semantic Safety Fallback",
   "zh": "VLA多模态语义安全回退",
   "level": "l2"
  },
  "CAP_0aa06ce3": {
   "en": "Multimodal Semantic Context Encoding",
   "zh": "多模态语义上下文编码",
   "level": "l2"
  },
  "CAP_810dd8ec": {
   "en": "Safety Boundary Alignment",
   "zh": "安全边界语义对齐",
   "level": "l2"
  },
  "CAP_92f3232c": {
   "en": "Contextual Fallback Planning",
   "zh": "上下文感知回退规划",
   "level": "l2"
  },
  "CAP_03988a70": {
   "en": "Explainable Safety Execution",
   "zh": "可解释安全执行",
   "level": "l2"
  },
  "CAP_f4714df8": {
   "en": "Semantic Context Encoding",
   "zh": "语义上下文编码",
   "level": "l3"
  },
  "CAP_91baf3ec": {
   "en": "Safety Boundary Evaluation",
   "zh": "安全边界评估",
   "level": "l3"
  },
  "CAP_d9dcbc9e": {
   "en": "Contextual Fallback Action Generation",
   "zh": "上下文回退动作生成",
   "level": "l3"
  },
  "CAP_ba8555f7": {
   "en": "Explainable Action Execution",
   "zh": "可解释动作执行",
   "level": "l3"
  },
  "CAP_f3f6151e": {
   "en": "Two-stage Vision-Language Alignment Detection",
   "zh": "两阶段视觉-语言对齐检测",
   "level": "l2"
  },
  "CAP_d4e79d90": {
   "en": "CLIP-based Region Classification",
   "zh": "基于 CLIP 的区域分类",
   "level": "l3"
  },
  "CAP_960a19b5": {
   "en": "Detection-Classification Joint Training",
   "zh": "检测-分类联合训练",
   "level": "l3"
  },
  "CAP_03340d08": {
   "en": "Text Prompt Engineering for Detection",
   "zh": "面向检测的文本提示工程",
   "level": "l3"
  },
  "CAP_9b39bb8d": {
   "en": "Region-Text Contrastive Alignment",
   "zh": "区域-文本对比对齐",
   "level": "l3"
  },
  "CAP_86154de5": {
   "en": "End-to-End Query-based Open-Vocabulary Detection",
   "zh": "端到端查询式开放词汇检测",
   "level": "l2"
  },
  "CAP_74966a98": {
   "en": "End-to-End Text-Query Detection",
   "zh": "端到端文本查询检测",
   "level": "l3"
  },
  "CAP_9a656503": {
   "en": "Vision-Text Similarity Scoring",
   "zh": "视觉-文本相似度评分",
   "level": "l3"
  },
  "CAP_0d16f1e3": {
   "en": "Cross-modality Feature Enhancement",
   "zh": "跨模态特征增强",
   "level": "l3"
  },
  "CAP_1ac7cc08": {
   "en": "Embodied Interaction-oriented Open-Vocabulary Understanding",
   "zh": "具身交互导向的开放词汇理解",
   "level": "l2"
  },
  "CAP_11149438": {
   "en": "Embodied Open-Vocabulary Detection",
   "zh": "具身开放词表检测",
   "level": "l3"
  },
  "CAP_b164b5cb": {
   "en": "Affordance Inference from Detection",
   "zh": "基于检测的可供性推理",
   "level": "l3"
  },
  "CAP_eee6b8b3": {
   "en": "Detection-to-3D Grasp Point Projection",
   "zh": "检测-to-3D 抓取点投影",
   "level": "l3"
  },
  "CAP_642f95b5": {
   "en": "Open-Vocabulary Object Tracking",
   "zh": "开放词表多目标追踪",
   "level": "l3"
  },
  "CAP_0dc6875d": {
   "en": "Task-conditioned Detection Verification",
   "zh": "任务条件检测验证",
   "level": "l3"
  },
  "CAP_280adab9": {
   "en": "2D OV VL Feature Alignment",
   "zh": "开放词汇视觉-语言特征对齐",
   "level": "l2"
  },
  "CAP_a6966447": {
   "en": "2D OV Proposal and Detection",
   "zh": "开放词汇提议、匹配与检测分割",
   "level": "l2"
  },
  "CAP_7c13b22f": {
   "en": "2D OV Region Proposal Matching",
   "zh": "开放词汇区域提议",
   "level": "l3"
  },
  "CAP_2a094a91": {
   "en": "MLLM Captioning Stage",
   "zh": "多模态场景描述生成阶段",
   "level": "l2"
  },
  "CAP_6706672e": {
   "en": "MLLM Relation Stage",
   "zh": "多模态物体关系推理阶段",
   "level": "l2"
  },
  "CAP_43635729": {
   "en": "MLLM Graph Stage",
   "zh": "多模态场景图构建阶段",
   "level": "l2"
  },
  "CAP_9ffe6753": {
   "en": "MLLM Affordance Task Stage",
   "zh": "多模态可供性与任务语义阶段",
   "level": "l2"
  },
  "CAP_5203e539": {
   "en": "MLLM Affordance Analysis",
   "zh": "可供性分析",
   "level": "l3"
  },
  "CAP_fbea2864": {
   "en": "MLLM Grounding Verification",
   "zh": "开放词表推理验证",
   "level": "l3"
  },
  "CAP_e14f4d5e": {
   "en": "MLLM Task Relevant Extraction",
   "zh": "任务相关语义提取",
   "level": "l3"
  },
  "CAP_6cd4a451": {
   "en": "Video Forecasting",
   "zh": "视频预测",
   "level": "l2"
  },
  "CAP_458cb731": {
   "en": "Reachability Based Safe Distance Computation",
   "zh": "可达性安全距离计算",
   "level": "l2"
  },
  "CAP_a27f5ef2": {
   "en": "Multimodal World Model Physical Risk Forecasting",
   "zh": "多模态世界模型物理碰撞预测",
   "level": "l2"
  },
  "CAP_54afa11b": {
   "en": "Spatiotemporal Risk Map Generation",
   "zh": "时空风险图生成",
   "level": "l3"
  },
  "CAP_6567a91b": {
   "en": "LLM Semantic Task Risk Assessment",
   "zh": "LLM语义任务风险评估",
   "level": "l2"
  },
  "CAP_981ac1e5": {
   "en": "LLM Task Semantic Graph Construction",
   "zh": "LLM任务语义图构建",
   "level": "l3"
  },
  "CAP_81d04038": {
   "en": "LLM Dynamic Risk Identification",
   "zh": "LLM动态风险识别",
   "level": "l3"
  },
  "CAP_d00d5adf": {
   "en": "Dynamic Risk Mitigation Injection",
   "zh": "动态风险缓解注入",
   "level": "l3"
  },
  "CAP_99ad7f4f": {
   "en": "Reachability and CBF Safety Filter",
   "zh": "可达性与CBF实时安全滤波",
   "level": "l2"
  },
  "CAP_d7b7c06e": {
   "en": "Zonotope Reachability Analysis",
   "zh": "Zonotope集合传播可达性分析",
   "level": "l3"
  },
  "CAP_856b1654": {
   "en": "Distributed CBF Multi-Agent",
   "zh": "分布式CBF多智能体滤波",
   "level": "l3"
  },
  "CAP_0a2dacac": {
   "en": "CBF QP Safety Filter Solver",
   "zh": "CBF安全滤波QP求解",
   "level": "l3"
  },
  "CAP_f44abec5": {
   "en": "Safety Test Orchestrator",
   "zh": "安全测试编排器",
   "level": "l3"
  },
  "CAP_9ab5ff50": {
   "en": "Human Detection Uncertainty Quantification",
   "zh": "人体检测不确定性量化",
   "level": "l3"
  },
  "CAP_0422cb9c": {
   "en": "Discrete-time CBF Verification",
   "zh": "离散时间CBF验证",
   "level": "l3"
  },
  "CAP_e7c3f1a9": {
   "en": "Emergency Stop Response",
   "zh": "紧急停止响应",
   "level": "l3"
  },
  "CAP_ae6d091e": {
   "en": "VLM Semantic Safety Red-Teaming",
   "zh": "基础模型语义安全红队测试",
   "level": "l2"
  },
  "CAP_4aac437a": {
   "en": "Semantic Adversarial Generation",
   "zh": "语义对抗样本生成",
   "level": "l3"
  },
  "CAP_d547b05b": {
   "en": "VLM Safety Alignment Scoring",
   "zh": "VLM安全对齐评分",
   "level": "l3"
  },
  "CAP_e99654e9": {
   "en": "Red Teaming Agent (RL)",
   "zh": "红队自动化代理",
   "level": "l3"
  },
  "CAP_e88fef52": {
   "en": "Multimodal Regression Test Harness",
   "zh": "多模态回归测试框架",
   "level": "l3"
  },
  "CAP_2dd61964": {
   "en": "Hierarchical Null-Space WBC",
   "zh": "基于零空间投影的严格层级全身控制",
   "level": "l2"
  },
  "CAP_8974d42b": {
   "en": "Recursive Null-Space Projector",
   "zh": "递归零空间投影",
   "level": "l3"
  },
  "CAP_0a6606e8": {
   "en": "Operational Space Dynamics Decoupling",
   "zh": "操作空间动力学解耦",
   "level": "l3"
  },
  "CAP_f02f61bb": {
   "en": "Hierarchical Torque Synthesis",
   "zh": "层级力矩合成",
   "level": "l3"
  },
  "CAP_04390a89": {
   "en": "Singularity-Robust Null-Space Projection",
   "zh": "奇异鲁棒零空间投影",
   "level": "l3"
  },
  "CAP_5d198f0b": {
   "en": "QP-Based Constrained WBC",
   "zh": "基于二次规划的约束优化全身控制",
   "level": "l2"
  },
  "CAP_f9fd30ec": {
   "en": "QP WBC Task Formulation",
   "zh": "QP任务形式化",
   "level": "l3"
  },
  "CAP_f43296f5": {
   "en": "QP WBC Constraint Modeling",
   "zh": "QP约束建模",
   "level": "l3"
  },
  "CAP_0e0ca3c4": {
   "en": "QP WBC Solver Integration",
   "zh": "QP求解器集成",
   "level": "l3"
  },
  "CAP_642db064": {
   "en": "QP WBC Problem Assembly",
   "zh": "QP问题组装",
   "level": "l3"
  },
  "CAP_8caa9ca1": {
   "en": "QP WBC Whole-Body Dynamics",
   "zh": "QP全身动力学建模",
   "level": "l3"
  },
  "CAP_23472343": {
   "en": "Learning-Enhanced Operational Space Control",
   "zh": "学习增强的操作空间控制",
   "level": "l2"
  },
  "CAP_12433390": {
   "en": "Learning OpSpace Force Tracking",
   "zh": "学习操作空间力跟踪",
   "level": "l3"
  },
  "CAP_16891ea2": {
   "en": "Learning Residual Force Control",
   "zh": "学习残差力控制",
   "level": "l3"
  },
  "CAP_7d6fb8ea": {
   "en": "IL for OpSpace Force Skills",
   "zh": "模仿学习操作空间力技能",
   "level": "l3"
  },
  "CAP_3ea6f6a3": {
   "en": "Operation Approval Workflow",
   "zh": "操作审批流程",
   "level": "l2"
  },
  "CAP_34a85859": {
   "en": "Proposal Context Enrichment",
   "zh": "提案上下文增强",
   "level": "l3"
  },
  "CAP_5a48e589": {
   "en": "Multi-dimension Safety Critic",
   "zh": "多维度安全批评",
   "level": "l3"
  },
  "CAP_53140502": {
   "en": "Risk-based Arbitration",
   "zh": "基于风险的仲裁",
   "level": "l3"
  },
  "CAP_ac84b5cf": {
   "en": "Approval Audit Trail Generation",
   "zh": "审批审计追踪生成",
   "level": "l3"
  },
  "CAP_38dbb2a4": {
   "en": "Policy Formalization",
   "zh": "策略形式化",
   "level": "l3"
  },
  "CAP_dfb0bd5a": {
   "en": "Workflow FSM Construction",
   "zh": "流程状态机构建",
   "level": "l3"
  },
  "CAP_875b50ec": {
   "en": "Safety Property Specification",
   "zh": "安全属性规约",
   "level": "l3"
  },
  "CAP_fd43e527": {
   "en": "Model Checking Verification",
   "zh": "模型检测验证",
   "level": "l3"
  },
  "CAP_c1de6d56": {
   "en": "Multimodal Intent Alignment",
   "zh": "多模态意图对齐",
   "level": "l3"
  },
  "CAP_9d25a634": {
   "en": "Confidence-based Fusion",
   "zh": "置信度融合",
   "level": "l3"
  },
  "CAP_69198ed8": {
   "en": "Interactive Clarification Dialogue",
   "zh": "交互式澄清对话",
   "level": "l3"
  },
  "CAP_023c6f09": {
   "en": "Multimodal Approval Token Generation",
   "zh": "多模态审批令牌生成",
   "level": "l3"
  },
  "CAP_ca2d7a07": {
   "en": "Visual Affordance Grasping",
   "zh": "视觉可供性抓取机会检测",
   "level": "l2"
  },
  "CAP_0d975c5b": {
   "en": "Visual Affordance Inference",
   "zh": "视觉可供性推理",
   "level": "l3"
  },
  "CAP_74b03788": {
   "en": "Hand-Object Intention Association",
   "zh": "手-物意图关联",
   "level": "l3"
  },
  "CAP_733d0f21": {
   "en": "Grasp Opportunity Decision",
   "zh": "抓取机会决策",
   "level": "l3"
  },
  "CAP_0316b4f5": {
   "en": "VLM Task Opportunity Reasoning",
   "zh": "VLM 语义任务机会推理",
   "level": "l2"
  },
  "CAP_bf9207d2": {
   "en": "Scene Semantic Encoding",
   "zh": "场景语义编码",
   "level": "l3"
  },
  "CAP_cebfcaea": {
   "en": "Task State Parsing",
   "zh": "任务状态解析",
   "level": "l3"
  },
  "CAP_4a55ae6d": {
   "en": "Opportunity Hypothesis Generation",
   "zh": "机会假设生成",
   "level": "l3"
  },
  "CAP_ade5bd97": {
   "en": "Semantic Opportunity Verification",
   "zh": "语义机会验证",
   "level": "l3"
  },
  "CAP_9668bf75": {
   "en": "Opportunity Description Generation",
   "zh": "机会描述生成",
   "level": "l3"
  },
  "CAP_5ba9d1c8": {
   "en": "Feature and Context Encoding",
   "zh": "特征与上下文编码",
   "level": "l3"
  },
  "CAP_d8934d67": {
   "en": "Correlation Lookup with Pyramid",
   "zh": "相关体金字塔查表",
   "level": "l3"
  },
  "CAP_e108b725": {
   "en": "Lightweight Edge Optical Flow",
   "zh": "轻量边缘光流避障",
   "level": "l2"
  },
  "CAP_60fdcb6f": {
   "en": "Fixed-Point Image Pyramid Construction",
   "zh": "定点图像金字塔构建",
   "level": "l3"
  },
  "CAP_b1957890": {
   "en": "Pyramid LK Dense Flow Compute",
   "zh": "金字塔LK稠密光流计算",
   "level": "l3"
  },
  "CAP_a199616f": {
   "en": "Phase Correlation Fallback Matcher",
   "zh": "相位相关回退匹配",
   "level": "l3"
  },
  "CAP_942f7609": {
   "en": "Flow Divergence TTC Avoidance",
   "zh": "光流散度与TTC避障",
   "level": "l3"
  },
  "CAP_38350a4b": {
   "en": "Generative Prior Flow Refinement",
   "zh": "生成式先验光流精炼",
   "level": "l2"
  },
  "CAP_e8ff1d62": {
   "en": "Base Optical Flow Estimation",
   "zh": "基础光流估计",
   "level": "l3"
  },
  "CAP_836a8c98": {
   "en": "Physics-Consistent Flow Refinement",
   "zh": "物理一致光流精炼",
   "level": "l3"
  },
  "CAP_f29b22c2": {
   "en": "MAV Optical Flow Perception",
   "zh": "无人机光流感知",
   "level": "l2"
  },
  "CAP_12f58ee0": {
   "en": "MAV Flow-based State Estimation",
   "zh": "无人机基于光流的运动估计",
   "level": "l2"
  },
  "CAP_38a91234": {
   "en": "MAV Reactive Avoidance Control",
   "zh": "无人机反应式避障控制",
   "level": "l2"
  },
  "CAP_fc1138f6": {
   "en": "Optical Flow Image Preprocessing",
   "zh": "光流图像预处理",
   "level": "l3"
  },
  "CAP_32b313ab": {
   "en": "Dense Optical Flow Field Splitting",
   "zh": "稠密光流场分割",
   "level": "l3"
  },
  "CAP_ab6683b7": {
   "en": "MAV Flow Velocity Estimation",
   "zh": "无人机光流速度估计",
   "level": "l3"
  },
  "CAP_292bc25a": {
   "en": "MAV Obstacle Detection from Flow",
   "zh": "无人机光流障碍物检测",
   "level": "l3"
  },
  "CAP_01b3418b": {
   "en": "MAV Reactive Avoidance Maneuver",
   "zh": "无人机反应式避障机动",
   "level": "l3"
  },
  "CAP_81712de0": {
   "en": "Deformable Object Perception",
   "zh": "非刚性物体感知",
   "level": "l2"
  },
  "CAP_9bfd793c": {
   "en": "Deformable Manipulation Planning",
   "zh": "非刚性物体操作规划",
   "level": "l2"
  },
  "CAP_9c3c1ac5": {
   "en": "Deformable Closed-loop Control",
   "zh": "非刚性物体闭环控制",
   "level": "l2"
  },
  "CAP_bfd18412": {
   "en": "Deformable Object Flow Estimation",
   "zh": "非刚性物体光流估计",
   "level": "l3"
  },
  "CAP_80ff48f6": {
   "en": "Motion Saliency Detection",
   "zh": "运动显著性检测",
   "level": "l3"
  },
  "CAP_165bddf6": {
   "en": "Visual Servoing for Deformables",
   "zh": "非刚性物体视觉伺服",
   "level": "l3"
  },
  "CAP_256961bd": {
   "en": "Deformation Anomaly Detection",
   "zh": "形变异常检测",
   "level": "l3"
  },
  "CAP_a2007f96": {
   "en": "Deformation Feedback Control",
   "zh": "形变反馈控制",
   "level": "l3"
  },
  "CAP_be0754e2": {
   "en": "Optical Flow Policy Perception Frontend",
   "zh": "光流策略感知前端",
   "level": "l2"
  },
  "CAP_1f230cf6": {
   "en": "Optical Flow Visuomotor Policy",
   "zh": "光流视觉运动策略",
   "level": "l2"
  },
  "CAP_7c905565": {
   "en": "Optical Flow Frontend Estimation",
   "zh": "光流前端估计",
   "level": "l3"
  },
  "CAP_de5448d8": {
   "en": "Optical Flow Multimodal Fusion",
   "zh": "光流多模态融合",
   "level": "l3"
  },
  "CAP_0e4d1f83": {
   "en": "Optical Flow Nav Policy Inference",
   "zh": "光流导航策略推理",
   "level": "l3"
  },
  "CAP_579c5841": {
   "en": "Optical Flow Collision Prediction",
   "zh": "光流碰撞预测",
   "level": "l3"
  },
  "CAP_96b9bc14": {
   "en": "Multitask Visuomotor Policy",
   "zh": "多任务视觉运动策略",
   "level": "l3"
  },
  "CAP_dba3f4bb": {
   "en": "Visuomotor DAgger Training",
   "zh": "视觉运动 DAgger 训练",
   "level": "l3"
  },
  "CAP_c571c679": {
   "en": "Optical Flow Augmentation",
   "zh": "光流数据增强",
   "level": "l3"
  },
  "CAP_b20910be": {
   "en": "Cost Matrix Builder",
   "zh": "代价矩阵构建器",
   "level": "l3"
  },
  "CAP_da9c0aba": {
   "en": "Optimal Assignment Solving",
   "zh": "最优分配求解",
   "level": "l2"
  },
  "CAP_fd665a68": {
   "en": "Assignment Validation",
   "zh": "分配结果验证",
   "level": "l3"
  },
  "CAP_1bb88010": {
   "en": "Assignment Validation & Dispatch",
   "zh": "分配验证与分发",
   "level": "l2"
  },
  "CAP_d7857f69": {
   "en": "Incremental Assignment Update",
   "zh": "增量分配更新",
   "level": "l3"
  },
  "CAP_60985b26": {
   "en": "GNN Assignment Graph Construction",
   "zh": "GNN 分配图构建",
   "level": "l2"
  },
  "CAP_33e03b0f": {
   "en": "GNN Graph Builder",
   "zh": "GNN 图构建器",
   "level": "l3"
  },
  "CAP_601b0bc7": {
   "en": "GNN Assignment Encoding",
   "zh": "GNN 分配编码",
   "level": "l2"
  },
  "CAP_930d4ac0": {
   "en": "GNN Encoder",
   "zh": "GNN 编码器",
   "level": "l3"
  },
  "CAP_093ccfbe": {
   "en": "GNN Assignment Decoding",
   "zh": "GNN 分配解码",
   "level": "l2"
  },
  "CAP_c313ae24": {
   "en": "GNN Decoder",
   "zh": "GNN 解码器",
   "level": "l3"
  },
  "CAP_26516524": {
   "en": "GNN Imitation Learning",
   "zh": "GNN 模仿学习",
   "level": "l3"
  },
  "CAP_f8e25bdd": {
   "en": "GNN Dynamic Reallocation",
   "zh": "GNN 动态重分配",
   "level": "l2"
  },
  "CAP_2821703d": {
   "en": "GNN Temporal Reallocation",
   "zh": "GNN 时序重分配",
   "level": "l3"
  },
  "CAP_24ef55f6": {
   "en": "Joint MIP Modeling",
   "zh": "联合 MIP 建模",
   "level": "l2"
  },
  "CAP_4516a5d5": {
   "en": "Joint MIP Model Encoder",
   "zh": "联合 MIP 模型编码器",
   "level": "l3"
  },
  "CAP_39140fd0": {
   "en": "Heuristic Initialization",
   "zh": "启发式初始解生成",
   "level": "l2"
  },
  "CAP_c47bd718": {
   "en": "Heuristic Initializer",
   "zh": "启发式初始解生成器",
   "level": "l3"
  },
  "CAP_634ae201": {
   "en": "Joint Solver Engine",
   "zh": "联合求解引擎",
   "level": "l2"
  },
  "CAP_0d86b3f1": {
   "en": "Online Execution Repair",
   "zh": "在线执行修复",
   "level": "l2"
  },
  "CAP_bfeae8c4": {
   "en": "Joint Optimization Solver",
   "zh": "联合优化求解器",
   "level": "l3"
  },
  "CAP_b9d3c388": {
   "en": "Online Repair Executor",
   "zh": "在线修复执行器",
   "level": "l3"
  },
  "CAP_73f9d1b9": {
   "en": "Graph Bottleneck Detection",
   "zh": "图瓶颈与割检测",
   "level": "l2"
  },
  "CAP_855f3b81": {
   "en": "Subgoal Extraction and Option Composition",
   "zh": "子目标提取与选项封装注册",
   "level": "l2"
  },
  "CAP_bddd4527": {
   "en": "Option Initialization and High-level Control",
   "zh": "选项初始化与高层控制",
   "level": "l2"
  },
  "CAP_37a0f0bf": {
   "en": "Option Rollout and Experience Collection",
   "zh": "选项执行与经验采集",
   "level": "l2"
  },
  "CAP_ff76ff19": {
   "en": "End-to-End Option Policy Gradient",
   "zh": "端到端选项策略梯度",
   "level": "l2"
  },
  "CAP_e52a0fd1": {
   "en": "VLM Semantic Task Planning",
   "zh": "VLM 任务分解",
   "level": "l2"
  },
  "CAP_4e3ac579": {
   "en": "VLM Option Grounding and Retrieval",
   "zh": "VLM 选项对齐与检索",
   "level": "l2"
  },
  "CAP_bbdb1384": {
   "en": "VLM Execution Monitoring",
   "zh": "VLM 执行监控",
   "level": "l2"
  },
  "CAP_c4460991": {
   "en": "VLM Skill Composition and Library Update",
   "zh": "VLM 技能组合与库更新",
   "level": "l2"
  },
  "CAP_6cb87a47": {
   "en": "State Space Graph Construction",
   "zh": "状态空间图构建",
   "level": "l3"
  },
  "CAP_3585e2c6": {
   "en": "Normalized Cut Bottleneck Detection",
   "zh": "归一化割瓶颈检测",
   "level": "l3"
  },
  "CAP_5b9af5c7": {
   "en": "Betweenness Centrality Bottleneck Detection",
   "zh": "介数中心性瓶颈检测",
   "level": "l3"
  },
  "CAP_211de33c": {
   "en": "State Bottleneck Detection (InfoBot)",
   "zh": "信息瓶颈状态检测",
   "level": "l3"
  },
  "CAP_42d2b5bf": {
   "en": "Subgoal Extraction",
   "zh": "子目标提取",
   "level": "l3"
  },
  "CAP_c28ecf81": {
   "en": "Option Policy Learning",
   "zh": "选项内部策略学习",
   "level": "l3"
  },
  "CAP_5bc92c01": {
   "en": "Option Encapsulation and Registration",
   "zh": "选项封装与注册",
   "level": "l3"
  },
  "CAP_652bd4b1": {
   "en": "Option Set Initialization",
   "zh": "选项集合初始化",
   "level": "l3"
  },
  "CAP_4c564f05": {
   "en": "High-level Policy Option Selection",
   "zh": "高层选项选择",
   "level": "l3"
  },
  "CAP_1a69a188": {
   "en": "Interest-Option-Critic",
   "zh": "兴趣函数选项批判",
   "level": "l3"
  },
  "CAP_a9587d9c": {
   "en": "Intra-option Policy Execution",
   "zh": "选项内部策略执行",
   "level": "l3"
  },
  "CAP_1f2be17d": {
   "en": "Experience Collection Rollout",
   "zh": "经验采集回放",
   "level": "l3"
  },
  "CAP_e4c5e7ac": {
   "en": "Intra-option Q Learning",
   "zh": "选项内 Q 学习",
   "level": "l3"
  },
  "CAP_01794867": {
   "en": "Option Q Learning",
   "zh": "选项 Q 学习",
   "level": "l3"
  },
  "CAP_a5e6c735": {
   "en": "Deliberation Cost Regularization",
   "zh": "思考成本正则化",
   "level": "l3"
  },
  "CAP_18ef6fe8": {
   "en": "A2OC Advantage Estimation",
   "zh": "A2OC 优势估计",
   "level": "l3"
  },
  "CAP_aaaae607": {
   "en": "Training Loop Iteration",
   "zh": "训练循环迭代",
   "level": "l3"
  },
  "CAP_031111ab": {
   "en": "VLM Option Grounding",
   "zh": "VLM 选项对齐",
   "level": "l3"
  },
  "CAP_8127de37": {
   "en": "VLM Execution Monitor",
   "zh": "VLM 执行监控",
   "level": "l3"
  },
  "CAP_71db7331": {
   "en": "VLM Skill Composition",
   "zh": "VLM 技能组合",
   "level": "l3"
  },
  "CAP_18a6355c": {
   "en": "Option Library Update",
   "zh": "选项库更新",
   "level": "l3"
  },
  "CAP_d0a32146": {
   "en": "BT Tree Definition & Loading",
   "zh": "行为树定义与加载",
   "level": "l2"
  },
  "CAP_1d3513d8": {
   "en": "BT Deterministic Execution",
   "zh": "行为树确定性执行",
   "level": "l2"
  },
  "CAP_c7addc32": {
   "en": "BT Built-in Status Monitoring",
   "zh": "行为树内建状态监控",
   "level": "l2"
  },
  "CAP_8ee953d1": {
   "en": "BT Anomaly Detection & Recovery",
   "zh": "行为树异常检测与恢复",
   "level": "l2"
  },
  "CAP_7868ce0b": {
   "en": "BT Node Status Streaming",
   "zh": "行为树节点状态流式传输",
   "level": "l3"
  },
  "CAP_ecfdb3ca": {
   "en": "BT Deterministic Timeout Monitoring",
   "zh": "行为树确定性超时监控",
   "level": "l3"
  },
  "CAP_f54ccc41": {
   "en": "BT Resource Deadlock Detection",
   "zh": "行为树资源死锁检测",
   "level": "l3"
  },
  "CAP_bdc760c4": {
   "en": "BT Consecutive Failure Escalation",
   "zh": "行为树连续失败升级",
   "level": "l3"
  },
  "CAP_e0abdd59": {
   "en": "BT Anomaly Injection & Preemption",
   "zh": "行为树异常注入与抢占",
   "level": "l3"
  },
  "CAP_13e85d2d": {
   "en": "BT Tree XML Definition",
   "zh": "行为树 XML 定义",
   "level": "l3"
  },
  "CAP_b719b916": {
   "en": "BT Tick Execution Engine",
   "zh": "行为树滴答执行引擎",
   "level": "l3"
  },
  "CAP_110c3b51": {
   "en": "Multi-Agent Execution State Collection",
   "zh": "多智能体执行状态采集",
   "level": "l2"
  },
  "CAP_7e519db4": {
   "en": "LLM-based Anomaly Detection",
   "zh": "LLM 语义异常检测",
   "level": "l2"
  },
  "CAP_276ff235": {
   "en": "Plan Validation & Deployment",
   "zh": "计划验证与部署",
   "level": "l2"
  },
  "CAP_a3632718": {
   "en": "Closed-loop Feedback Learning",
   "zh": "闭环反馈学习",
   "level": "l3"
  },
  "CAP_a586083b": {
   "en": "Local Model Finetune",
   "zh": "本地模型微调",
   "level": "l3"
  },
  "CAP_1090d932": {
   "en": "Gradient Sparse Compression",
   "zh": "梯度稀疏压缩",
   "level": "l3"
  },
  "CAP_7ef6f1fc": {
   "en": "Quantized Delta Upload",
   "zh": "量化差分上传",
   "level": "l3"
  },
  "CAP_31b16c0d": {
   "en": "Secure Federated Aggregation",
   "zh": "安全联邦聚合",
   "level": "l3"
  },
  "CAP_20442838": {
   "en": "Progressive Model Update",
   "zh": "渐进式模型更新",
   "level": "l3"
  },
  "CAP_953259d7": {
   "en": "Adaptive Compression Policy",
   "zh": "自适应压缩策略",
   "level": "l3"
  },
  "CAP_c38d131c": {
   "en": "Differential Compression & Upload",
   "zh": "差分压缩与上传",
   "level": "l2"
  },
  "CAP_0e4c9e37": {
   "en": "Cloud Aggregation",
   "zh": "云端聚合",
   "level": "l2"
  },
  "CAP_3768ef3a": {
   "en": "Progressive Delivery & Update",
   "zh": "渐进式下发与更新",
   "level": "l2"
  },
  "CAP_66f96f4e": {
   "en": "Adapter Delta Compression",
   "zh": "适配器差分压缩",
   "level": "l3"
  },
  "CAP_1e38f436": {
   "en": "Bandwidth Adaptive Transfer",
   "zh": "带宽自适应传输",
   "level": "l3"
  },
  "CAP_69c348db": {
   "en": "Adapter Integrity Verification",
   "zh": "适配器完整性验证",
   "level": "l3"
  },
  "CAP_9a7d76c9": {
   "en": "Runtime Adapter Hotswap",
   "zh": "运行时适配器热插拔",
   "level": "l3"
  },
  "CAP_af6e33fc": {
   "en": "PEFT Adapter Generation",
   "zh": "PEFT适配器生成",
   "level": "l2"
  },
  "CAP_cd03cbd5": {
   "en": "Adapter Delta Packaging",
   "zh": "适配器差分打包",
   "level": "l2"
  },
  "CAP_bb25453d": {
   "en": "Bandwidth Aware Transfer",
   "zh": "带宽感知传输",
   "level": "l2"
  },
  "CAP_ce1990f7": {
   "en": "Adapter Integrity Verification Umbrella",
   "zh": "适配器完整性验证（伞形）",
   "level": "l2"
  },
  "CAP_3b086036": {
   "en": "Runtime Adapter Hotswap Umbrella",
   "zh": "运行时热插拔（伞形）",
   "level": "l2"
  },
  "CAP_e83da08d": {
   "en": "Skill Vector Diffing",
   "zh": "技能向量差分",
   "level": "l3"
  },
  "CAP_faa99bae": {
   "en": "Task Program Synthesis",
   "zh": "任务程序合成",
   "level": "l3"
  },
  "CAP_421f6ca2": {
   "en": "Semantic Compression",
   "zh": "语义压缩",
   "level": "l3"
  },
  "CAP_02f7a6e2": {
   "en": "Local Task Interpreter",
   "zh": "本地任务解释器",
   "level": "l3"
  },
  "CAP_d252444b": {
   "en": "Skill Registry Management",
   "zh": "技能注册与编码管理",
   "level": "l2"
  },
  "CAP_a2dc34b3": {
   "en": "Skill Vector Diffing Orchestration",
   "zh": "技能向量差分编排",
   "level": "l2"
  },
  "CAP_a7cc6714": {
   "en": "Task Program Synthesis Orchestration",
   "zh": "任务程序合成编排",
   "level": "l2"
  },
  "CAP_141b4855": {
   "en": "Compressed Transmission & Interpretation",
   "zh": "压缩传输与解译",
   "level": "l2"
  },
  "CAP_201f0d08": {
   "en": "Secure Boot AB Firmware Integrity Verification",
   "zh": "安全启动 A/B 固件完整性验证",
   "level": "l2"
  },
  "CAP_f4638b92": {
   "en": "Firmware Package Download",
   "zh": "固件包下载",
   "level": "l3"
  },
  "CAP_9d449ec2": {
   "en": "Firmware Metadata Parsing",
   "zh": "固件元数据解析",
   "level": "l3"
  },
  "CAP_c5e0d8c9": {
   "en": "Firmware Hash Verification",
   "zh": "固件哈希校验",
   "level": "l3"
  },
  "CAP_f855388e": {
   "en": "Firmware Signature Verification",
   "zh": "固件签名验证",
   "level": "l3"
  },
  "CAP_84077a68": {
   "en": "Secure Boot Chain Validation",
   "zh": "安全启动信任链验证",
   "level": "l3"
  },
  "CAP_12667d3d": {
   "en": "Anti-rollback Version Check",
   "zh": "防回滚版本检查",
   "level": "l3"
  },
  "CAP_4df7e1a3": {
   "en": "Firmware Activation Arbitration",
   "zh": "固件激活裁决",
   "level": "l3"
  },
  "CAP_90dc6567": {
   "en": "Integrity Failure Rollback",
   "zh": "完整性失败回滚",
   "level": "l3"
  },
  "CAP_68329dd8": {
   "en": "Heterogeneous Tiered Verification",
   "zh": "异构计算分层验证",
   "level": "l2"
  },
  "CAP_917b6e2f": {
   "en": "Update Metadata Schema Validator",
   "zh": "更新元数据Schema校验",
   "level": "l3"
  },
  "CAP_465827f1": {
   "en": "Hardware Signature Verification",
   "zh": "硬件信任根签名验证",
   "level": "l3"
  },
  "CAP_e7091b46": {
   "en": "Tiered Hash Integrity Check",
   "zh": "分层哈希完整性校验",
   "level": "l3"
  },
  "CAP_cb213bc0": {
   "en": "AI Model Adversarial Scan",
   "zh": "AI模型对抗样本扫描",
   "level": "l3"
  },
  "CAP_8c86dbde": {
   "en": "Tiered Verification Policy Engine",
   "zh": "分层验证决策引擎",
   "level": "l3"
  },
  "CAP_a1abaf08": {
   "en": "Semantic Behavioral Verification",
   "zh": "语义与行为闭环验证",
   "level": "l2"
  },
  "CAP_1b406501": {
   "en": "OTA Metadata Parsing",
   "zh": "OTA元数据解析",
   "level": "l3"
  },
  "CAP_4b2f824c": {
   "en": "OTA Hash Verification",
   "zh": "OTA哈希校验",
   "level": "l3"
  },
  "CAP_3b5cba05": {
   "en": "Chain of Trust Anchoring",
   "zh": "信任链锚定",
   "level": "l3"
  },
  "CAP_a2c3cc96": {
   "en": "Install Gating",
   "zh": "安装门控",
   "level": "l3"
  },
  "CAP_7740eeef": {
   "en": "Landmark Detection And Classification",
   "zh": "地标检测与分类",
   "level": "l3"
  },
  "CAP_213460ef": {
   "en": "Semantic Topo Graph Construction",
   "zh": "语义拓扑图构建",
   "level": "l3"
  },
  "CAP_f07b25bb": {
   "en": "Landmark Action Policy Learning",
   "zh": "地标-动作策略学习",
   "level": "l3"
  },
  "CAP_aaf663a2": {
   "en": "Topological Localization",
   "zh": "拓扑定位",
   "level": "l3"
  },
  "CAP_5e05a977": {
   "en": "Topo Map Life Long Maintenance",
   "zh": "拓扑图长期维护",
   "level": "l3"
  },
  "CAP_28c1fb50": {
   "en": "Landmark Action Policy Navigation",
   "zh": "地标-动作策略导航",
   "level": "l2"
  },
  "CAP_d94e3863": {
   "en": "Landmark Sequence Parsing",
   "zh": "地标序列解析",
   "level": "l3"
  },
  "CAP_304543cc": {
   "en": "Open Vocab Landmark Detection",
   "zh": "开放词汇地标检测",
   "level": "l3"
  },
  "CAP_f002a1c3": {
   "en": "Monocular Landmark Depth Estimation",
   "zh": "单目地标深度估计",
   "level": "l3"
  },
  "CAP_c634fa69": {
   "en": "Landmark Relative Local Navigation",
   "zh": "地标相对局部导航",
   "level": "l3"
  },
  "CAP_b763b8a1": {
   "en": "Visual Based Navigation Verification",
   "zh": "视觉基础模型导航验证",
   "level": "l3"
  },
  "CAP_9a001b9c": {
   "en": "Open Vocabulary Landmark Perception",
   "zh": "开放词汇地标感知",
   "level": "l2"
  },
  "CAP_acf09833": {
   "en": "Landmark Spatial Localization And Navigation",
   "zh": "地标空间定位与导航",
   "level": "l2"
  },
  "CAP_789e1abe": {
   "en": "Navigation Verification Umbrella",
   "zh": "导航验证",
   "level": "l2"
  },
  "CAP_fa572065": {
   "en": "Satellite Semantic Prior Extraction",
   "zh": "卫星语义先验提取",
   "level": "l3"
  },
  "CAP_61dfa0ff": {
   "en": "Neural Visual Localization",
   "zh": "神经视觉定位",
   "level": "l3"
  },
  "CAP_e290a060": {
   "en": "Landmark Topology Graph Construction",
   "zh": "地标拓扑图构建",
   "level": "l3"
  },
  "CAP_c143fefa": {
   "en": "Satellite Image Prior",
   "zh": "卫星图先验",
   "level": "l2"
  },
  "CAP_3ed6e34f": {
   "en": "Neural Implicit Mapping And Localization",
   "zh": "神经隐式建图与定位",
   "level": "l2"
  },
  "CAP_1cf9823a": {
   "en": "Landmark Topological Graph Building",
   "zh": "地标拓扑图构建",
   "level": "l2"
  },
  "CAP_5f04510f": {
   "en": "Multi-Sensor Factor Graph SLAM",
   "zh": "多传感器因子图SLAM",
   "level": "l2"
  },
  "CAP_34123bd4": {
   "en": "Global Factor Graph Construction",
   "zh": "全局因子图构建",
   "level": "l3"
  },
  "CAP_3b5b9697": {
   "en": "Multi-Modal Constraint Generation",
   "zh": "多模态约束生成",
   "level": "l3"
  },
  "CAP_bad27b4c": {
   "en": "Incremental Global Optimization",
   "zh": "增量式全局优化",
   "level": "l3"
  },
  "CAP_7eb5320a": {
   "en": "Degeneracy-Aware Optimization",
   "zh": "退化感知优化",
   "level": "l3"
  },
  "CAP_4d5a736c": {
   "en": "Lightweight LiDAR Odometry",
   "zh": "轻量级激光里程计",
   "level": "l2"
  },
  "CAP_68781ec8": {
   "en": "Lightweight Feature Extraction",
   "zh": "轻量级特征提取",
   "level": "l3"
  },
  "CAP_ce6dbad5": {
   "en": "Scan-to-Scan ICP Odometry",
   "zh": "帧间ICP里程计",
   "level": "l3"
  },
  "CAP_38bb3e7c": {
   "en": "Sliding Window Keyframe Management",
   "zh": "滑动窗口关键帧管理",
   "level": "l3"
  },
  "CAP_007e2220": {
   "en": "IMU Preintegration Fusion",
   "zh": "IMU预积分融合",
   "level": "l3"
  },
  "CAP_4e3cced7": {
   "en": "Odometry Degeneracy Detection",
   "zh": "里程计退化检测",
   "level": "l3"
  },
  "CAP_ccfccd54": {
   "en": "Semantic Lifelong Mapping",
   "zh": "语义引导终身建图",
   "level": "l2"
  },
  "CAP_05281660": {
   "en": "LiDAR Semantic Segmentation",
   "zh": "激光点云语义分割",
   "level": "l3"
  },
  "CAP_0051b124": {
   "en": "Semantic Loop Closure Detection",
   "zh": "语义回环检测",
   "level": "l3"
  },
  "CAP_ad8b3cd9": {
   "en": "Lifelong Change Detection",
   "zh": "终身变化检测",
   "level": "l3"
  },
  "CAP_c20908cd": {
   "en": "Cross-Season Semantic Relocalization",
   "zh": "跨季节语义重定位",
   "level": "l3"
  },
  "CAP_e54489af": {
   "en": "RGB-LiDAR Fusion Segmentation",
   "zh": "RGB-LiDAR融合语义分割",
   "level": "l3"
  },
  "CAP_1e8ee3ea": {
   "en": "Thermal-RGB Night Fusion",
   "zh": "热红外-可见光夜间融合",
   "level": "l3"
  },
  "CAP_d015f3bd": {
   "en": "Vegetation-Rock Classification",
   "zh": "植被-岩石分类",
   "level": "l3"
  },
  "CAP_98be3c52": {
   "en": "Modality-Missing Handling",
   "zh": "模态缺失鲁棒处理",
   "level": "l3"
  },
  "CAP_7c8fb96a": {
   "en": "Multimodal Perception and Alignment",
   "zh": "多模态感知与对齐（阶段伞形）",
   "level": "l2"
  },
  "CAP_e5995cea": {
   "en": "Multimodal Fusion Segmentation",
   "zh": "多模态融合语义分割（阶段伞形）",
   "level": "l2"
  },
  "CAP_d0681a35": {
   "en": "Outdoor Obstacle Parsing",
   "zh": "室外障碍物解析（阶段伞形）",
   "level": "l2"
  },
  "CAP_65924091": {
   "en": "Unsupervised Anomaly Scoring",
   "zh": "无监督异常评分",
   "level": "l3"
  },
  "CAP_16a37422": {
   "en": "LiDAR Anomaly Fusion",
   "zh": "激光雷达异常融合",
   "level": "l3"
  },
  "CAP_52cf3827": {
   "en": "Temporal Consistency Filtering",
   "zh": "时序一致性滤波",
   "level": "l3"
  },
  "CAP_a0d288cf": {
   "en": "Online Normal-Distribution Adaptation",
   "zh": "在线正常分布自适应",
   "level": "l3"
  },
  "CAP_e1d7eb57": {
   "en": "Unsupervised Obstacle Anomaly Detection",
   "zh": "无监督通用障碍物异常检测（阶段伞形）",
   "level": "l2"
  },
  "CAP_bf605b65": {
   "en": "E2E Visual Occupancy Prediction",
   "zh": "纯视觉端到端占用预测",
   "level": "l3"
  },
  "CAP_0a0d1a39": {
   "en": "E2E Multimodal Occupancy Prediction",
   "zh": "多模态端到端占用预测",
   "level": "l3"
  },
  "CAP_17f7423c": {
   "en": "E2E Temporal Streaming Occupancy",
   "zh": "时序流式占用预测",
   "level": "l3"
  },
  "CAP_4fa2633d": {
   "en": "E2E Uncertainty-Aware Occupancy",
   "zh": "不确定性感知占用预测",
   "level": "l3"
  },
  "CAP_65013b1e": {
   "en": "E2E Semantic-Enriched Occupancy",
   "zh": "语义富集占用预测",
   "level": "l3"
  },
  "CAP_ed16b4be": {
   "en": "End-to-End Occupancy Prediction",
   "zh": "端到端神经占用预测（阶段伞形）",
   "level": "l2"
  },
  "CAP_363711fb": {
   "en": "Metric-Semantic Mapping and Relocalization",
   "zh": "度量语义建图与重定位",
   "level": "l2"
  },
  "CAP_95ea8463": {
   "en": "End-to-End Conditional Imitation Navigation",
   "zh": "端到端条件模仿导航",
   "level": "l2"
  },
  "CAP_a138035f": {
   "en": "VLA Zero-Shot Outdoor Grounding Navigation",
   "zh": "VLA零样本室外接地导航",
   "level": "l2"
  },
  "CAP_889a7984": {
   "en": "Global Semantic Map Construction",
   "zh": "全局语义地图构建",
   "level": "l3"
  },
  "CAP_fbed5176": {
   "en": "Metric-Semantic Localization",
   "zh": "度量语义定位",
   "level": "l3"
  },
  "CAP_13571da3": {
   "en": "End-to-End Conditional Imitation Inference",
   "zh": "端到端条件模仿推理",
   "level": "l3"
  },
  "CAP_d36424ea": {
   "en": "Feature Anchor Localization",
   "zh": "特征点锚定定位",
   "level": "l3"
  },
  "CAP_9784c910": {
   "en": "Multimodal Fusion Arbitration",
   "zh": "多模态融合仲裁",
   "level": "l3"
  },
  "CAP_61ecce49": {
   "en": "Safe Degradation Handler",
   "zh": "安全退化处理",
   "level": "l3"
  },
  "CAP_c080ae86": {
   "en": "VLA Instruction Grounding",
   "zh": "VLA指令接地",
   "level": "l3"
  },
  "CAP_fb9d9002": {
   "en": "VLA Zero-Shot Path Following",
   "zh": "VLA零样本路径跟随",
   "level": "l3"
  },
  "CAP_c4de9116": {
   "en": "VLA Visual Anomaly Adaptation",
   "zh": "VLA视觉异常适应",
   "level": "l3"
  },
  "CAP_60361282": {
   "en": "Multimodal Consistency Rejection",
   "zh": "多源一致性动态物理拒识",
   "level": "l2"
  },
  "CAP_8cca786d": {
   "en": "Multimodal Consistency Outlier Rejection",
   "zh": "多源一致性异常值剔除",
   "level": "l3"
  },
  "CAP_19836f48": {
   "en": "Adaptive Consistency Threshold Estimation",
   "zh": "自适应一致性阈值估计",
   "level": "l3"
  },
  "CAP_76dc4246": {
   "en": "Sensor Modality Confidence Weighting",
   "zh": "传感器模态置信度加权",
   "level": "l3"
  },
  "CAP_39c46385": {
   "en": "Learned Inlier Selection",
   "zh": "学习型特征匹配内点筛选",
   "level": "l2"
  },
  "CAP_bb19d804": {
   "en": "Learned Matching and Inlier Selection",
   "zh": "学习型匹配与内点筛选",
   "level": "l3"
  },
  "CAP_a9694b73": {
   "en": "Graph Based Inlier Classification",
   "zh": "图神经网络内点分类",
   "level": "l3"
  },
  "CAP_a3202d35": {
   "en": "Attention Based Context Aggregation",
   "zh": "注意力上下文聚合",
   "level": "l3"
  },
  "CAP_086bf9d0": {
   "en": "Probabilistic Match Filtering",
   "zh": "概率式匹配滤波",
   "level": "l3"
  },
  "CAP_97972e4c": {
   "en": "Generative View Synthesis Verification",
   "zh": "生成式新视角合成验证",
   "level": "l2"
  },
  "CAP_100c79dc": {
   "en": "Inlier Conditioned Scene Reconstruction",
   "zh": "内点条件场景重建",
   "level": "l3"
  },
  "CAP_1e5b1658": {
   "en": "Novel View Consistency Verification",
   "zh": "新视角一致性验证",
   "level": "l3"
  },
  "CAP_7297ec96": {
   "en": "Pose Refinement via Synthesis Feedback",
   "zh": "合成反馈位姿精化",
   "level": "l3"
  },
  "CAP_a8139e88": {
   "en": "Cross Validation Outlier Audit",
   "zh": "交叉验证异常审计",
   "level": "l3"
  },
  "CAP_bfcc3280": {
   "en": "Uncertainty Aware Outlier Rescoring",
   "zh": "不确定性感知异常重打分",
   "level": "l3"
  },
  "CAP_3e3da563": {
   "en": "Visual DR Environment Setup",
   "zh": "视觉域随机化环境构建",
   "level": "l2"
  },
  "CAP_34a4739e": {
   "en": "Visual Domain Randomization Env Setup",
   "zh": "视觉域随机化环境配置",
   "level": "l3"
  },
  "CAP_ab1c217e": {
   "en": "Visual DR Policy Training",
   "zh": "视觉域随机化策略训练",
   "level": "l2"
  },
  "CAP_21e7a878": {
   "en": "Visual Invariant Policy Training",
   "zh": "视觉不变性策略训练",
   "level": "l3"
  },
  "CAP_026bbd09": {
   "en": "Visual DR Curriculum Scheduler",
   "zh": "视觉域随机化课程调度",
   "level": "l3"
  },
  "CAP_7d4ef79a": {
   "en": "Visual DR Evaluation",
   "zh": "视觉域随机化验证与评估",
   "level": "l2"
  },
  "CAP_bdbcba4c": {
   "en": "Visual OOD Evaluation",
   "zh": "视觉分布外评估",
   "level": "l3"
  },
  "CAP_991c43d5": {
   "en": "Visual Feature Invariance Analysis",
   "zh": "视觉特征不变性分析",
   "level": "l3"
  },
  "CAP_e99ce407": {
   "en": "Visual DR Deployment",
   "zh": "视觉域随机化部署与适配",
   "level": "l2"
  },
  "CAP_23548982": {
   "en": "Causal Data Collection",
   "zh": "因果解耦多域数据采集",
   "level": "l2"
  },
  "CAP_ac5f39ab": {
   "en": "Causal Disentangle Encoding",
   "zh": "因果解耦编码",
   "level": "l2"
  },
  "CAP_5e4a2042": {
   "en": "Causal Visual Disentanglement",
   "zh": "因果视觉解耦",
   "level": "l3"
  },
  "CAP_dfb45e02": {
   "en": "Causal Policy Learning",
   "zh": "因果策略学习",
   "level": "l2"
  },
  "CAP_8287f62a": {
   "en": "Invariant Causal Policy Learning",
   "zh": "不变因果策略学习",
   "level": "l3"
  },
  "CAP_727acec4": {
   "en": "Causal Deployment",
   "zh": "因果解耦部署推理",
   "level": "l2"
  },
  "CAP_d310bc46": {
   "en": "VLM Semantic Matching and Re-ranking",
   "zh": "VLM 语义匹配与重排",
   "level": "l2"
  },
  "CAP_f117a286": {
   "en": "Multi-Modal Re-Ranking",
   "zh": "多模态重排序",
   "level": "l3"
  },
  "CAP_6b68cf90": {
   "en": "VLM Navigation Deployment",
   "zh": "VLM 导航局部规划",
   "level": "l2"
  },
  "CAP_86b270c5": {
   "en": "Multimodal Tactile Anti-Slip Grasping",
   "zh": "多模态触觉防过载自适应抓取",
   "level": "l2"
  },
  "CAP_6e2aa958": {
   "en": "Tactile Feature Fusion",
   "zh": "触觉特征提取与融合",
   "level": "l3"
  },
  "CAP_4f179713": {
   "en": "Grasp State Estimation",
   "zh": "抓取状态估计",
   "level": "l3"
  },
  "CAP_65fe42dd": {
   "en": "Overload Risk Assessment",
   "zh": "过载风险评估",
   "level": "l3"
  },
  "CAP_7c00a0ce": {
   "en": "Adaptive Grasp Force Control",
   "zh": "自适应抓取力控制",
   "level": "l3"
  },
  "CAP_eb9a4d13": {
   "en": "Safety Limit Execution",
   "zh": "安全限位执行",
   "level": "l3"
  },
  "CAP_a4c72ee3": {
   "en": "Visual-Force Constraint Safety Monitoring",
   "zh": "视觉-力觉约束安全监控",
   "level": "l2"
  },
  "CAP_2c3ed643": {
   "en": "Visual Constraint Extraction",
   "zh": "视觉语义约束提取",
   "level": "l3"
  },
  "CAP_e9438af5": {
   "en": "Force Projection to Task Space",
   "zh": "任务空间力投影",
   "level": "l3"
  },
  "CAP_52c3e784": {
   "en": "Constraint Overload Detection",
   "zh": "约束过载检测",
   "level": "l3"
  },
  "CAP_e02f224d": {
   "en": "Graded Safety Response",
   "zh": "分级安全响应",
   "level": "l3"
  },
  "CAP_1e737660": {
   "en": "Visual-Force Calibration",
   "zh": "视觉-力觉标定",
   "level": "l3"
  },
  "CAP_e758ea1a": {
   "en": "Generalized Momentum Computation",
   "zh": "广义动量计算",
   "level": "l3"
  },
  "CAP_a296678c": {
   "en": "Residual Signal Filtering",
   "zh": "残差信号滤波",
   "level": "l3"
  },
  "CAP_f39851ef": {
   "en": "Threshold Configuration Engine",
   "zh": "过载阈值配置引擎",
   "level": "l3"
  },
  "CAP_84c17c47": {
   "en": "Collision Response Executor",
   "zh": "碰撞安全响应执行",
   "level": "l3"
  },
  "CAP_f6ebdd70": {
   "en": "Multimodal Task-adaptive Overload Configuration",
   "zh": "多模态任务自适应过载配置",
   "level": "l2"
  },
  "CAP_d7e5af70": {
   "en": "Multimodal Payload Estimation",
   "zh": "多模态载荷估计",
   "level": "l3"
  },
  "CAP_6c7b5a8d": {
   "en": "Task-phase Adaptive Threshold",
   "zh": "任务相位自适应阈值",
   "level": "l3"
  },
  "CAP_2a4771b9": {
   "en": "Sensor Failure Degradation Manager",
   "zh": "传感器失效降级管理",
   "level": "l3"
  },
  "CAP_2bf57121": {
   "en": "Threshold Safety Validator",
   "zh": "安全阈值校验器",
   "level": "l3"
  },
  "CAP_474930de": {
   "en": "Safe RL Dynamic Threshold Learning",
   "zh": "安全强化学习动态阈值学习",
   "level": "l2"
  },
  "CAP_a825a06b": {
   "en": "Constrained Safe Exploration",
   "zh": "约束安全探索",
   "level": "l3"
  },
  "CAP_0ae43b68": {
   "en": "Risk-adaptive Threshold Decision",
   "zh": "风险自适应阈值决策",
   "level": "l3"
  },
  "CAP_052f78c5": {
   "en": "Threshold Smooth Deployment",
   "zh": "阈值平滑下发",
   "level": "l3"
  },
  "CAP_da2ebd3b": {
   "en": "Palletizing & Depalletizing",
   "zh": "码垛与拆垛",
   "level": "l2"
  },
  "CAP_654ab285": {
   "en": "Visual Servo 6D Pose Estimation",
   "zh": "视觉伺服 6D 位姿估计",
   "level": "l3"
  },
  "CAP_7cd9baf3": {
   "en": "Stable Pallet Pattern Planning",
   "zh": "稳定垛型规划",
   "level": "l3"
  },
  "CAP_8cda6cfe": {
   "en": "Motion Planning with Servo Handoff",
   "zh": "含伺服接管点的运动规划",
   "level": "l3"
  },
  "CAP_1617f4cf": {
   "en": "Force-Controlled Placement",
   "zh": "力控放置",
   "level": "l3"
  },
  "CAP_57fc3988": {
   "en": "Dynamic Conveyor Tracking",
   "zh": "动态传送带跟踪",
   "level": "l3"
  },
  "CAP_f0d200c5": {
   "en": "Closed-Loop Visual Servoing",
   "zh": "闭环视觉伺服",
   "level": "l3"
  },
  "CAP_4669b22b": {
   "en": "Adaptive Vacuum Gripper Control",
   "zh": "自适应真空吸盘控制",
   "level": "l3"
  },
  "CAP_34caed5b": {
   "en": "DRL State Encoding",
   "zh": "DRL 状态表征",
   "level": "l3"
  },
  "CAP_7dfc2a7d": {
   "en": "DRL Action Masking",
   "zh": "DRL 动作掩码",
   "level": "l3"
  },
  "CAP_4a3aa5d5": {
   "en": "Panoptic FPN Feature Extraction",
   "zh": "全景FPN特征提取",
   "level": "l2"
  },
  "CAP_1be54170": {
   "en": "Dual-Head Decoupled Prediction",
   "zh": "双头解耦预测",
   "level": "l2"
  },
  "CAP_85748cb6": {
   "en": "Decoupled Semantic Segmentation",
   "zh": "解耦语义分割",
   "level": "l3"
  },
  "CAP_12b5293c": {
   "en": "Decoupled Instance Segmentation",
   "zh": "解耦实例分割",
   "level": "l3"
  },
  "CAP_7c515da7": {
   "en": "Heuristic Panoptic Fusion",
   "zh": "启发式全景融合",
   "level": "l2"
  },
  "CAP_dd2bd25f": {
   "en": "Heuristic Panoptic Fusion",
   "zh": "启发式全景融合",
   "level": "l3"
  },
  "CAP_171430e3": {
   "en": "Mask Classification Backbone",
   "zh": "掩码分类骨干",
   "level": "l2"
  },
  "CAP_32f7b9de": {
   "en": "Mask Classification Head",
   "zh": "掩码分类头",
   "level": "l2"
  },
  "CAP_eb713a13": {
   "en": "Transformer Mask Classification",
   "zh": "Transformer掩码分类",
   "level": "l3"
  },
  "CAP_a69599b4": {
   "en": "Dot-Product Mask Generation",
   "zh": "点积掩码生成",
   "level": "l3"
  },
  "CAP_1feeb8ff": {
   "en": "Panoptic Fusion and Matching",
   "zh": "全景融合与匹配",
   "level": "l2"
  },
  "CAP_6e48a1a5": {
   "en": "Lightweight Backbone Adaptation",
   "zh": "轻量骨干适配",
   "level": "l2"
  },
  "CAP_6af6b892": {
   "en": "BiFPN Multiscale Fusion",
   "zh": "BiFPN多尺度融合",
   "level": "l3"
  },
  "CAP_540eb5bd": {
   "en": "Real-Time Dual-Head Decoding",
   "zh": "实时双头解码",
   "level": "l2"
  },
  "CAP_efadc988": {
   "en": "Anchor-Free Instance Head",
   "zh": "无锚框实例头",
   "level": "l3"
  },
  "CAP_e0a9c7ed": {
   "en": "TensorRT Deployment Pipeline",
   "zh": "TensorRT部署流水线",
   "level": "l3"
  },
  "CAP_1d7a24b9": {
   "en": "FCN Unified Backbone",
   "zh": "全卷积统一共享骨干",
   "level": "l2"
  },
  "CAP_2a8d8986": {
   "en": "FCN Shared Backbone Extraction",
   "zh": "全卷积共享骨干特征提取",
   "level": "l3"
  },
  "CAP_046ff161": {
   "en": "FCN Semantic+Instance Branch Prediction",
   "zh": "全卷充分支预测",
   "level": "l2"
  },
  "CAP_883f87fa": {
   "en": "FCN Semantic Segmentation",
   "zh": "全卷积语义分割",
   "level": "l3"
  },
  "CAP_9ad56c42": {
   "en": "Position-Sensitive Instance Mask",
   "zh": "位置敏感实例掩码",
   "level": "l3"
  },
  "CAP_39a05f3c": {
   "en": "Dynamic-Kernel Instance Segmentation",
   "zh": "动态卷积核实例分割",
   "level": "l3"
  },
  "CAP_ecb9c4fe": {
   "en": "FCN Panoptic Fusion",
   "zh": "全卷积全景融合",
   "level": "l2"
  },
  "CAP_5dac7e45": {
   "en": "Panoptic Fusion Resolution",
   "zh": "全景融合消歧",
   "level": "l3"
  },
  "CAP_97dfebc9": {
   "en": "FCN Real-Time Panoptic Inference",
   "zh": "全卷积实时全景推理",
   "level": "l2"
  },
  "CAP_b05d2be3": {
   "en": "Real-Time Panoptic FCN",
   "zh": "实时全景全卷积推理",
   "level": "l3"
  },
  "CAP_700ea1c8": {
   "en": "Query-Based Feature Encoding",
   "zh": "基于查询的特征编码",
   "level": "l2"
  },
  "CAP_77f8cdcb": {
   "en": "Query-Based Backbone Extraction",
   "zh": "查询式骨干特征提取",
   "level": "l3"
  },
  "CAP_25e9e942": {
   "en": "Pixel Decoder Upsampling",
   "zh": "像素解码器上采样",
   "level": "l3"
  },
  "CAP_10c793be": {
   "en": "Query-Based Transformer Decoding",
   "zh": "基于查询的Transformer解码",
   "level": "l2"
  },
  "CAP_3901fd2a": {
   "en": "Masked-Attention Decoding",
   "zh": "掩码注意力解码",
   "level": "l3"
  },
  "CAP_c758bd89": {
   "en": "Task-Conditioned Query Generation",
   "zh": "任务条件查询生成",
   "level": "l3"
  },
  "CAP_872fdf37": {
   "en": "K-Means Cross-Attention Clustering",
   "zh": "K均值交叉注意力聚类",
   "level": "l3"
  },
  "CAP_a8749da3": {
   "en": "Query-Based Prediction & Mask Generation",
   "zh": "基于查询的预测与掩码生成",
   "level": "l2"
  },
  "CAP_4dc91ad5": {
   "en": "Query-Based Universal Segmentation",
   "zh": "基于查询的全集分割",
   "level": "l3"
  },
  "CAP_7bc81ef6": {
   "en": "Query-Based Matching & Loss",
   "zh": "基于查询的匹配与损失",
   "level": "l2"
  },
  "CAP_d4e88ca2": {
   "en": "Online Panoptic Neural SLAM",
   "zh": "在线全景神经SLAM",
   "level": "l2"
  },
  "CAP_0088607d": {
   "en": "Online 2D Panoptic Perception",
   "zh": "在线2D全景感知",
   "level": "l3"
  },
  "CAP_3e016cd6": {
   "en": "Instance-aware Neural Tracking",
   "zh": "实例感知神经跟踪",
   "level": "l3"
  },
  "CAP_bd569266": {
   "en": "Online Panoptic Map Construction",
   "zh": "在线全景地图构建",
   "level": "l3"
  },
  "CAP_a6f76997": {
   "en": "Incremental Panoptic Map Update",
   "zh": "增量全景地图更新",
   "level": "l3"
  },
  "CAP_db8082ca": {
   "en": "Panoptic Loop Closure",
   "zh": "全景闭环检测",
   "level": "l3"
  },
  "CAP_188ffad7": {
   "en": "Online Dynamic Object Filtering",
   "zh": "在线动态物体滤除",
   "level": "l3"
  },
  "CAP_4777e831": {
   "en": "Offline Panoptic Neural Baking",
   "zh": "离线全景神经烘焙",
   "level": "l2"
  },
  "CAP_a4b019e0": {
   "en": "Offline 2D Panoptic Mask Generation",
   "zh": "离线2D全景掩码生成",
   "level": "l3"
  },
  "CAP_673f9f55": {
   "en": "SfM Pose Recovery",
   "zh": "SfM位姿恢复",
   "level": "l3"
  },
  "CAP_8d48fad6": {
   "en": "Offline Panoptic Field Optimization",
   "zh": "离线全景场优化",
   "level": "l3"
  },
  "CAP_15ceccac": {
   "en": "Panoptic Label Consistency Lifting",
   "zh": "全景标签一致性提升",
   "level": "l3"
  },
  "CAP_6ab9e3d5": {
   "en": "Instance Field Decomposition and Completion",
   "zh": "实例场分解与补全",
   "level": "l3"
  },
  "CAP_8bbc5b9b": {
   "en": "Neural Asset Baking and Export",
   "zh": "神经资产烘焙导出",
   "level": "l3"
  },
  "CAP_a4ebe694": {
   "en": "2D End-to-End Panoptic Segmentation and PQ Evaluation",
   "zh": "2D 端到端全景分割与 PQ 评估",
   "level": "l2"
  },
  "CAP_fb69c1ef": {
   "en": "Panoptic Fusion Postprocess",
   "zh": "全景融合后处理",
   "level": "l3"
  },
  "CAP_0cc2e8e8": {
   "en": "Panoptic Synchronized Data Augmentation",
   "zh": "全景同步数据增强",
   "level": "l3"
  },
  "CAP_06ec13b3": {
   "en": "Panoptic Quality Evaluation",
   "zh": "全景质量评测",
   "level": "l3"
  },
  "CAP_a90ba078": {
   "en": "Per-class PQ Analysis",
   "zh": "逐类 PQ 分析",
   "level": "l3"
  },
  "CAP_7e3a20f3": {
   "en": "3D Instance-aware Mapping and Panoptic Quality Evaluation",
   "zh": "3D 实例感知建图与全景质量评估",
   "level": "l2"
  },
  "CAP_e7e3ebc0": {
   "en": "3D Panoptic Quality Computation",
   "zh": "3D 全景质量计算",
   "level": "l3"
  },
  "CAP_e5438d78": {
   "en": "Multi-view Instance Association",
   "zh": "多视角实例关联",
   "level": "l3"
  },
  "CAP_23a8b222": {
   "en": "PQ-driven Fusion Optimization",
   "zh": "PQ 驱动融合优化",
   "level": "l3"
  },
  "CAP_0fe651a8": {
   "en": "Realtime 2D Panoptic Segmentation",
   "zh": "2D 实时全景分割（流水线）",
   "level": "l2"
  },
  "CAP_807af0ce": {
   "en": "Realtime Panoptic Inference",
   "zh": "实时全景推理",
   "level": "l3"
  },
  "CAP_290ea266": {
   "en": "Lightweight Panoptic Backbone",
   "zh": "轻量全景骨干网络",
   "level": "l3"
  },
  "CAP_8aa156a4": {
   "en": "Instance Segmentation Head (Panoptic)",
   "zh": "全景实例分割头",
   "level": "l3"
  },
  "CAP_11c722c3": {
   "en": "3D Neural Field Panoptic Semantic Mapping",
   "zh": "3D 神经场全景语义建图",
   "level": "l2"
  },
  "CAP_31066929": {
   "en": "2D Panoptic Prior Extraction",
   "zh": "2D 全景先验提取",
   "level": "l3"
  },
  "CAP_60ff28ce": {
   "en": "3D Semantic Field Learning",
   "zh": "3D 语义场学习",
   "level": "l3"
  },
  "CAP_5e25765b": {
   "en": "3D Instance Field Learning",
   "zh": "3D 实例场学习",
   "level": "l3"
  },
  "CAP_15c810c5": {
   "en": "Panoptic 3D Fusion",
   "zh": "3D 全景融合",
   "level": "l3"
  },
  "CAP_8fa39fc4": {
   "en": "Semantic-Aware Novel View Synthesis",
   "zh": "语义感知新视角合成",
   "level": "l3"
  },
  "CAP_5650cb0c": {
   "en": "3D Semantic Query",
   "zh": "3D 语义查询",
   "level": "l3"
  },
  "CAP_556b3ed4": {
   "en": "Planar Grasp Perception",
   "zh": "平面抓取感知与预处理",
   "level": "l2"
  },
  "CAP_c06c9b38": {
   "en": "Planar Grasp Decoding",
   "zh": "平面抓取解码与筛选",
   "level": "l2"
  },
  "CAP_02c520fd": {
   "en": "Grasp to Robot Transform",
   "zh": "抓取位姿坐标变换",
   "level": "l2"
  },
  "CAP_11e7cb97": {
   "en": "Grasp to Robot Coordinate Transform",
   "zh": "抓取向基坐标系变换",
   "level": "l3"
  },
  "CAP_b982f42e": {
   "en": "Planar Grasp Execution",
   "zh": "平面抓取轨迹规划与执行",
   "level": "l2"
  },
  "CAP_74a373f1": {
   "en": "Planar Grasp Closed-loop Execution",
   "zh": "平面抓取闭环执行",
   "level": "l3"
  },
  "CAP_feac78c0": {
   "en": "LLM Async Plan-Execute Pipeline",
   "zh": "大模型异步规划-执行流水线",
   "level": "l2"
  },
  "CAP_eeecb662": {
   "en": "Async Goal Queue Management",
   "zh": "异步目标队列管理",
   "level": "l3"
  },
  "CAP_19b9c693": {
   "en": "Interruptible Motion Execution",
   "zh": "可中断运动执行",
   "level": "l3"
  },
  "CAP_f02a751f": {
   "en": "LLM Continuous Replanning",
   "zh": "LLM持续重规划",
   "level": "l3"
  },
  "CAP_72be72f1": {
   "en": "Diffusion Spatiotemporal Parallel",
   "zh": "扩散时空并行推理",
   "level": "l2"
  },
  "CAP_b3b054ea": {
   "en": "Temporal Parallel Diffusion Sampling",
   "zh": "时间并行扩散采样",
   "level": "l3"
  },
  "CAP_71184776": {
   "en": "Spatial Tiling Denoising",
   "zh": "空间分块去噪",
   "level": "l3"
  },
  "CAP_bba81963": {
   "en": "Spatiotemporal Joint Scheduling",
   "zh": "时空联合调度",
   "level": "l3"
  },
  "CAP_13f61fd6": {
   "en": "Hierarchical Async Planning Execution",
   "zh": "层级异步规划执行",
   "level": "l3"
  },
  "CAP_04deefd4": {
   "en": "Emergency Replanning Skip Sampling",
   "zh": "应急跳跃采样",
   "level": "l3"
  },
  "CAP_5e29e232": {
   "en": "HRL Parallel Option Scheduling",
   "zh": "分层强化学习并行选项调度",
   "level": "l2"
  },
  "CAP_79f0ee87": {
   "en": "Concurrent Option Execution",
   "zh": "并发选项执行",
   "level": "l3"
  },
  "CAP_19dab5d1": {
   "en": "Safe Option Interruption",
   "zh": "安全选项中断",
   "level": "l3"
  },
  "CAP_4d7ae2b4": {
   "en": "Parallel Multi-Level Policy Training",
   "zh": "并行多层策略训练",
   "level": "l3"
  },
  "CAP_135bc9d1": {
   "en": "Parallel Instruction Execution",
   "zh": "并行指令执行",
   "level": "l2"
  },
  "CAP_dde691b5": {
   "en": "Bimanual Task Dependency Analysis",
   "zh": "双臂任务依赖分析",
   "level": "l3"
  },
  "CAP_f79c8164": {
   "en": "Bimanual Workspace Allocation",
   "zh": "双臂工作空间分配",
   "level": "l3"
  },
  "CAP_c30d06a3": {
   "en": "Bimanual Motion Planning Parallel",
   "zh": "双臂并行运动规划",
   "level": "l3"
  },
  "CAP_6660a11e": {
   "en": "Parallel Action Execution Engine",
   "zh": "并行执行引擎",
   "level": "l3"
  },
  "CAP_e224af52": {
   "en": "Bimanual Force Monitoring Anomaly",
   "zh": "双臂力监控与异常检测",
   "level": "l3"
  },
  "CAP_be22a359": {
   "en": "Diffusion Multi-Actuator Planning",
   "zh": "扩散策略多执行器规划",
   "level": "l3"
  },
  "CAP_98b18c0f": {
   "en": "Parallelism Degree Analyzer",
   "zh": "并行度分析",
   "level": "l3"
  },
  "CAP_c5a525e0": {
   "en": "Multi-Actuator Safety Gate",
   "zh": "多执行器安全门控",
   "level": "l3"
  },
  "CAP_5e99a871": {
   "en": "Parallel Render Scene Config",
   "zh": "并行渲染场景配置",
   "level": "l2"
  },
  "CAP_72ad3273": {
   "en": "GPU Parallel Draw & MRT",
   "zh": "GPU 并行绘制与多模态输出",
   "level": "l2"
  },
  "CAP_ab4ece0f": {
   "en": "Vis-Phys Consistency Check",
   "zh": "视觉-物理一致性验证",
   "level": "l2"
  },
  "CAP_b8035c98": {
   "en": "Procedural Scene Streaming",
   "zh": "程序化场景流式加载",
   "level": "l3"
  },
  "CAP_3e7a9559": {
   "en": "Multi-Camera GPU Rendering",
   "zh": "多相机 GPU 并行渲染",
   "level": "l3"
  },
  "CAP_5c077c2a": {
   "en": "GPU-Driven Indirect Draw",
   "zh": "GPU 驱动间接绘制",
   "level": "l3"
  },
  "CAP_d64f9b34": {
   "en": "MRT Multimodal Output",
   "zh": "多渲染目标多模态输出",
   "level": "l3"
  },
  "CAP_4d1f0946": {
   "en": "Vis-Phys Consistency Validator",
   "zh": "视觉-物理一致性验证器",
   "level": "l3"
  },
  "CAP_da089881": {
   "en": "Requirement Prompt Planning",
   "zh": "需求解析与提示规划",
   "level": "l2"
  },
  "CAP_210e31e3": {
   "en": "3D Asset Gen & Retrieval",
   "zh": "3D 资产生成与检索",
   "level": "l2"
  },
  "CAP_f22de7d2": {
   "en": "Scene Layout Synthesis",
   "zh": "场景布局合成",
   "level": "l2"
  },
  "CAP_b6345380": {
   "en": "Task Config Generation",
   "zh": "任务配置生成",
   "level": "l2"
  },
  "CAP_a417c38c": {
   "en": "Requirement Prompt Generation",
   "zh": "需求解析与提示生成",
   "level": "l3"
  },
  "CAP_11fcca9a": {
   "en": "Text-to-3D Asset Generation",
   "zh": "文本到 3D 资产生成",
   "level": "l3"
  },
  "CAP_19d57043": {
   "en": "Indoor Scene Layout Synthesis",
   "zh": "室内场景布局合成",
   "level": "l3"
  },
  "CAP_e033f10a": {
   "en": "Camera Trajectory & Task Config Gen",
   "zh": "相机轨迹与任务配置生成",
   "level": "l3"
  },
  "CAP_e691ff66": {
   "en": "Diverse Lighting Generation",
   "zh": "多样化光照条件生成",
   "level": "l3"
  },
  "CAP_daa2e35e": {
   "en": "Parallel DR Rendering",
   "zh": "并行域随机化渲染",
   "level": "l2"
  },
  "CAP_b48b6c3d": {
   "en": "Multi-Teacher Policy Training",
   "zh": "多教师策略训练",
   "level": "l2"
  },
  "CAP_b548d820": {
   "en": "Replay Aggregation Stage",
   "zh": "经验回放与数据聚合",
   "level": "l2"
  },
  "CAP_f90cffa1": {
   "en": "Domain Parameter Scheduling",
   "zh": "域参数调度",
   "level": "l3"
  },
  "CAP_927fd0c2": {
   "en": "Parallel Domain Randomization Rendering",
   "zh": "并行域随机化渲染",
   "level": "l3"
  },
  "CAP_a897b58d": {
   "en": "Multi-Teacher Policy Training",
   "zh": "多教师策略训练",
   "level": "l3"
  },
  "CAP_79f4df39": {
   "en": "Multi-Teacher Trajectory Aggregation",
   "zh": "经验回放与数据聚合",
   "level": "l3"
  },
  "CAP_df18b894": {
   "en": "Policy Distillation with Domain Knowledge",
   "zh": "带域知识的策略蒸馏",
   "level": "l3"
  },
  "CAP_bd83878d": {
   "en": "Physics Verification and Iterative Repair",
   "zh": "物理验证与迭代修复",
   "level": "l3"
  },
  "CAP_f8315662": {
   "en": "GPU Rollout Buffer Aggregation",
   "zh": "GPU rollout 缓冲区聚合",
   "level": "l3"
  },
  "CAP_5b83b7e5": {
   "en": "PPO On-Policy Training Update",
   "zh": "PPO 在线策略训练更新",
   "level": "l3"
  },
  "CAP_949df095": {
   "en": "Difficulty Adaptive Controller",
   "zh": "难度自适应控制器",
   "level": "l3"
  },
  "CAP_2852e186": {
   "en": "Async State-Action Router",
   "zh": "异步状态动作路由",
   "level": "l3"
  },
  "CAP_c83604f6": {
   "en": "Inference Batch Scheduler",
   "zh": "推理动态批处理调度",
   "level": "l3"
  },
  "CAP_e1fb711d": {
   "en": "Fault-Tolerant Worker Registry",
   "zh": "容错工作节点注册",
   "level": "l3"
  },
  "CAP_442777de": {
   "en": "Generative Scene Batch Generation",
   "zh": "生成式批量场景生成",
   "level": "l3"
  },
  "CAP_3b521fea": {
   "en": "LLM Semantic DAG Parallel Planning",
   "zh": "LLM 语义依赖图并行规划",
   "level": "l2"
  },
  "CAP_4563a57d": {
   "en": "Semantic Dependency Inference",
   "zh": "语义依赖推断",
   "level": "l3"
  },
  "CAP_e39cb587": {
   "en": "Semantic DAG Construction",
   "zh": "语义依赖图构建",
   "level": "l3"
  },
  "CAP_be2d087a": {
   "en": "Parallel Group Identification",
   "zh": "并行子任务组识别",
   "level": "l3"
  },
  "CAP_a7131a4f": {
   "en": "LLM-based Parallel Plan Generation",
   "zh": "基于LLM的并行计划生成",
   "level": "l3"
  },
  "CAP_a6fc10ad": {
   "en": "LLM Tabletop Parallel Tidying",
   "zh": "LLM 桌面整理并行规划",
   "level": "l2"
  },
  "CAP_817df670": {
   "en": "Parallel Subtask Group Identification",
   "zh": "并行子任务组识别",
   "level": "l3"
  },
  "CAP_4b37869685": {
   "en": "Geometric Feasibility Verification",
   "zh": "几何可行性验证",
   "level": "l3"
  },
  "CAP_4a63274b": {
   "en": "Reactive Replanning Under Disturbance",
   "zh": "扰动下闭环重规划",
   "level": "l3"
  },
  "CAP_95c69268": {
   "en": "MARL Implicit Parallel Emergence",
   "zh": "多智能体强化学习隐式并行涌现",
   "level": "l2"
  },
  "CAP_0d5d404e": {
   "en": "Multi-Agent Cooperative Policy Learning",
   "zh": "多智能体协同策略学习",
   "level": "l3"
  },
  "CAP_d8a0de42": {
   "en": "Credit Assignment in MARL",
   "zh": "多智能体信用分配",
   "level": "l3"
  },
  "CAP_a8411c34": {
   "en": "LoRA-Based Manipulation Skill Adaptation",
   "zh": "基于LoRA的操作技能适配",
   "level": "l2"
  },
  "CAP_61cc43b3": {
   "en": "Visual Prompt-Based Navigation Policy Adaptation",
   "zh": "基于视觉提示的导航策略适配",
   "level": "l2"
  },
  "CAP_5d9b91d1": {
   "en": "Prompt-Conditioned LoRA Injection",
   "zh": "提示条件LoRA注入",
   "level": "l3"
  },
  "CAP_fe602b29": {
   "en": "Navigation Policy Adaptation",
   "zh": "导航策略适配",
   "level": "l3"
  },
  "CAP_fdb14133": {
   "en": "Cross-Scene Zero-Shot Transfer",
   "zh": "跨场景零样本迁移",
   "level": "l3"
  },
  "CAP_60529934": {
   "en": "Multi-Modal Goal Specification",
   "zh": "多模态目标指定",
   "level": "l3"
  },
  "CAP_74329d6f": {
   "en": "Adapter-Based Multimodal Instruction Following",
   "zh": "基于适配器的多模态指令跟随",
   "level": "l2"
  },
  "CAP_f4c93b5e": {
   "en": "Visuo-Linguistic Instruction Grounding",
   "zh": "视觉语言指令接地",
   "level": "l3"
  },
  "CAP_86185022": {
   "en": "Multimodal Adapter Fusion",
   "zh": "多模态适配器融合",
   "level": "l3"
  },
  "CAP_7c29d45b": {
   "en": "Low-Rank Action Space Adaptation",
   "zh": "低秩动作空间适配",
   "level": "l3"
  },
  "CAP_835ce953": {
   "en": "Rigid Body Excitation & Capture",
   "zh": "刚体动力学激励与采集",
   "level": "l2"
  },
  "CAP_a6af7540": {
   "en": "Exciting Trajectory Data Collection",
   "zh": "激励轨迹数据采集",
   "level": "l3"
  },
  "CAP_b39332bb": {
   "en": "Rigid Body Param Identification",
   "zh": "刚体动力学参数辨识",
   "level": "l2"
  },
  "CAP_cfe4eda6": {
   "en": "Rigid Body Param to YAML",
   "zh": "刚体参数序列化至YAML",
   "level": "l3"
  },
  "CAP_3459838a": {
   "en": "URDF Inertial Injector",
   "zh": "URDF惯性参数注入",
   "level": "l3"
  },
  "CAP_697469e9": {
   "en": "Dynamics Param Persistence",
   "zh": "动力学参数持久化与恢复",
   "level": "l2"
  },
  "CAP_6f005908": {
   "en": "ROS2 Param Persistence Backend",
   "zh": "ROS2参数持久化后端",
   "level": "l3"
  },
  "CAP_6cc1c19f": {
   "en": "Parameter Snapshot Versioning",
   "zh": "参数快照版本化",
   "level": "l3"
  },
  "CAP_dac0ba90": {
   "en": "Context-Aware Adaptation",
   "zh": "上下文感知策略适配",
   "level": "l2"
  },
  "CAP_379b7f3d": {
   "en": "Latent Context Encoding",
   "zh": "上下文潜变量编码",
   "level": "l3"
  },
  "CAP_352e1729": {
   "en": "Latent to Policy Mapping",
   "zh": "潜变量到策略参数映射",
   "level": "l3"
  },
  "CAP_f402ab2d": {
   "en": "Latent-to-Param Mapping",
   "zh": "潜变量到参数映射与校验",
   "level": "l2"
  },
  "CAP_a1cb2aa7": {
   "en": "Adaptive Param Validation",
   "zh": "自适应参数安全校验",
   "level": "l3"
  },
  "CAP_6878bc33": {
   "en": "Adaptive Param Persistence",
   "zh": "自适应参数持久化",
   "level": "l2"
  },
  "CAP_c78d3d9a": {
   "en": "Parameter Persistence Write",
   "zh": "参数持久化写入",
   "level": "l3"
  },
  "CAP_de586248": {
   "en": "Parameter Schema Migration",
   "zh": "参数Schema版本迁移",
   "level": "l3"
  },
  "CAP_64d5e2a2": {
   "en": "Parameter Persistence Load",
   "zh": "参数持久化加载",
   "level": "l3"
  },
  "CAP_6713becf": {
   "en": "Experience Collection & World Model Training",
   "zh": "经验采集与世界模型训练",
   "level": "l2"
  },
  "CAP_206913c4": {
   "en": "Experience Collection Multimodal",
   "zh": "多模态经验采集",
   "level": "l3"
  },
  "CAP_d077312c": {
   "en": "Skill Memory Extraction",
   "zh": "技能记忆表征提取",
   "level": "l2"
  },
  "CAP_aaa4c046": {
   "en": "Skill Embedding Extraction",
   "zh": "技能嵌入提取",
   "level": "l3"
  },
  "CAP_6db23135": {
   "en": "World Model Simulation Validation",
   "zh": "世界模型模拟验证",
   "level": "l3"
  },
  "CAP_9c6a2364": {
   "en": "Generative Memory Persistence",
   "zh": "生成式记忆持久化",
   "level": "l2"
  },
  "CAP_6e7e1d3f": {
   "en": "Memory Persistence Adapter",
   "zh": "记忆持久化适配器",
   "level": "l3"
  },
  "CAP_6c9692b4": {
   "en": "Cross-session Skill Recovery",
   "zh": "跨会话技能恢复",
   "level": "l3"
  },
  "CAP_48d2664e": {
   "en": "Articulated Object Parameter Registration",
   "zh": "铰接物体参数配准",
   "level": "l2"
  },
  "CAP_b3bacbd7": {
   "en": "Articulated Param Extraction",
   "zh": "铰接参数提取",
   "level": "l3"
  },
  "CAP_30acb5d3": {
   "en": "Operational Param Structuring",
   "zh": "操作参数结构化",
   "level": "l3"
  },
  "CAP_b347ae81": {
   "en": "Param Registration Declare",
   "zh": "参数注册声明",
   "level": "l3"
  },
  "CAP_4f64db99": {
   "en": "Param Discovery Serve",
   "zh": "参数发现服务",
   "level": "l3"
  },
  "CAP_0c138f92": {
   "en": "Param Index Build",
   "zh": "参数索引建立",
   "level": "l3"
  },
  "CAP_a2a998f4": {
   "en": "Deformable Object Param Registration",
   "zh": "可变形物体参数配准",
   "level": "l2"
  },
  "CAP_d6cbd6f4": {
   "en": "Deformable Model Selection",
   "zh": "可变形模型选择",
   "level": "l3"
  },
  "CAP_d42d2127": {
   "en": "Interactive Deformation Acquisition",
   "zh": "交互式形变采集",
   "level": "l3"
  },
  "CAP_8593a17f": {
   "en": "Physics Simulation Based Optimization",
   "zh": "基于物理仿真的参数优化",
   "level": "l3"
  },
  "CAP_9b5fcead": {
   "en": "Deformable Param Registration",
   "zh": "可变形参数注册",
   "level": "l3"
  },
  "CAP_92e72f63": {
   "en": "Deformable Param Discovery",
   "zh": "可变形参数发现",
   "level": "l3"
  },
  "CAP_0583b499": {
   "en": "Skill Param Domain Registration",
   "zh": "技能参数域配准",
   "level": "l2"
  },
  "CAP_e098246e": {
   "en": "Skill Domain Registration",
   "zh": "技能域注册",
   "level": "l3"
  },
  "CAP_cdc3d498": {
   "en": "Atomic Domain Activation",
   "zh": "原子域激活",
   "level": "l3"
  },
  "CAP_98f6d2b8": {
   "en": "Runtime Param Alignment",
   "zh": "运行时参数配准",
   "level": "l3"
  },
  "CAP_0493717a": {
   "en": "Domain Lifecycle Management",
   "zh": "域生命周期管理",
   "level": "l3"
  },
  "CAP_7f2ab4fd": {
   "en": "CBF Safety Constraint Evaluation",
   "zh": "CBF安全约束评估",
   "level": "l3"
  },
  "CAP_ac562a39": {
   "en": "Parameter Update Interceptor (ROS2)",
   "zh": "ROS2参数更新拦截器",
   "level": "l3"
  },
  "CAP_2cb36c94": {
   "en": "Robot State Estimation (ROS2)",
   "zh": "ROS2机器人状态估计",
   "level": "l3"
  },
  "CAP_19e6a16e": {
   "en": "Safety Degradation Handler",
   "zh": "安全降级处理",
   "level": "l3"
  },
  "CAP_737743e2": {
   "en": "VLM-based Semantic & Physical Consistency Validation",
   "zh": "基于基础模型的语义与物理一致性验证",
   "level": "l2"
  },
  "CAP_187c95f1": {
   "en": "Physics-aware Parameter Correction",
   "zh": "物理感知参数修正",
   "level": "l3"
  },
  "CAP_dc9d87c0": {
   "en": "Cross-modal Parameter-Scene Alignment",
   "zh": "跨模态参数-场景对齐",
   "level": "l3"
  },
  "CAP_d1157da4": {
   "en": "Degraded-mode Rule Fallback",
   "zh": "降级规则回退",
   "level": "l3"
  },
  "CAP_ed62d006": {
   "en": "Probabilistic State Validation",
   "zh": "基于不确定性量化的概率状态验证",
   "level": "l2"
  },
  "CAP_562ecfb0": {
   "en": "Prior Distribution Modeling",
   "zh": "先验分布建模",
   "level": "l3"
  },
  "CAP_947f41f1": {
   "en": "Bayesian Validity Inference",
   "zh": "贝叶斯有效性推断",
   "level": "l3"
  },
  "CAP_2ff54f5a": {
   "en": "Decision Threshold Mapping",
   "zh": "决策阈值映射",
   "level": "l3"
  },
  "CAP_938ac82a": {
   "en": "Joint Parameter Validation",
   "zh": "联合参数验证",
   "level": "l3"
  },
  "CAP_718de0d2": {
   "en": "MOMDP Formulation",
   "zh": "多目标马尔可夫决策过程形式化",
   "level": "l3"
  },
  "CAP_9d18e1f1": {
   "en": "Preference-Conditioned Policy Training",
   "zh": "偏好条件策略训练",
   "level": "l3"
  },
  "CAP_ae6d1e63": {
   "en": "Pareto Front Extraction",
   "zh": "帕累托前沿提取",
   "level": "l3"
  },
  "CAP_dd6ff463": {
   "en": "Pareto Front Quality Assessment",
   "zh": "帕累托前沿质量评估",
   "level": "l3"
  },
  "CAP_23a54671": {
   "en": "Online Preference Switching",
   "zh": "在线偏好切换部署",
   "level": "l3"
  },
  "CAP_62963bc1": {
   "en": "Pareto Quadruped MDP Modeling",
   "zh": "四足步态帕累托问题形式化",
   "level": "l2"
  },
  "CAP_a40f4853": {
   "en": "Preference-Conditioned Policy Optimization",
   "zh": "偏好条件策略优化",
   "level": "l2"
  },
  "CAP_f2767a02": {
   "en": "Pareto Front Extraction and Evaluation",
   "zh": "帕累托前沿提取与评估",
   "level": "l2"
  },
  "CAP_55f58ac0": {
   "en": "Pareto Policy Deployment",
   "zh": "帕累托策略部署",
   "level": "l2"
  },
  "CAP_356f3886": {
   "en": "HIL Experiment Design",
   "zh": "硬件在环实验设计",
   "level": "l3"
  },
  "CAP_619af891": {
   "en": "Capability Boundary Export",
   "zh": "能力边界模型导出",
   "level": "l3"
  },
  "CAP_1b3d17d2": {
   "en": "HIL Active Frontier Refinement",
   "zh": "硬件在环主动前沿细化",
   "level": "l3"
  },
  "CAP_5fc9437f": {
   "en": "HIL Actuator Frontier Exploration",
   "zh": "硬件在环驱动器边界探索",
   "level": "l2"
  },
  "CAP_11d1120e": {
   "en": "Joint Design Space Parameterization",
   "zh": "联合设计空间参数化",
   "level": "l3"
  },
  "CAP_084678e6": {
   "en": "Pareto Dominance Sorting",
   "zh": "帕累托支配排序",
   "level": "l3"
  },
  "CAP_4ec77cfc": {
   "en": "Joint Variation Operator",
   "zh": "联合变异算子",
   "level": "l3"
  },
  "CAP_165dc425": {
   "en": "Pareto Front Visualization",
   "zh": "帕累托前沿可视化",
   "level": "l3"
  },
  "CAP_a897a61e": {
   "en": "Morphology-Control Co-design",
   "zh": "形态-控制联合优化",
   "level": "l2"
  },
  "CAP_f07c4f72": {
   "en": "Assembly Multimodal Perception",
   "zh": "装配多模态状态感知",
   "level": "l2"
  },
  "CAP_e04bd284": {
   "en": "Assembly Graph Construction",
   "zh": "装配图构建",
   "level": "l2"
  },
  "CAP_d585ad04": {
   "en": "Assembly Progress Reasoning",
   "zh": "装配进度推理",
   "level": "l2"
  },
  "CAP_d0fb1ffb": {
   "en": "Assembly Resume Planning",
   "zh": "装配续作规划",
   "level": "l2"
  },
  "CAP_bba0a04c": {
   "en": "Part Instance Segmentation and Pose",
   "zh": "零件实例分割与6D位姿估计",
   "level": "l3"
  },
  "CAP_334c49cb": {
   "en": "Multimodal Fusion for Completion Estimation",
   "zh": "多模态融合完成度估计",
   "level": "l3"
  },
  "CAP_32b380c1": {
   "en": "Semantic Assembly Graph Construction",
   "zh": "语义装配图构建",
   "level": "l3"
  },
  "CAP_b7479d9f": {
   "en": "Progress Reasoning by Graph Matching",
   "zh": "基于图匹配的进度推理",
   "level": "l3"
  },
  "CAP_51e192b8": {
   "en": "Assembly State Tracking Under Perturbation",
   "zh": "扰动下装配状态跟踪",
   "level": "l3"
  },
  "CAP_fa2e7986": {
   "en": "Resume Context Generation",
   "zh": "续作上下文生成",
   "level": "l3"
  },
  "CAP_87f8898a": {
   "en": "Home Task Structure Parsing",
   "zh": "家庭任务结构解析",
   "level": "l2"
  },
  "CAP_c967e356": {
   "en": "Execution State Acquisition",
   "zh": "执行状态获取",
   "level": "l2"
  },
  "CAP_4fc9558e": {
   "en": "Task Completion Quantification",
   "zh": "任务完成度量化",
   "level": "l2"
  },
  "CAP_6268ac1d": {
   "en": "Quality Adjustment and Blocker Analysis",
   "zh": "质量调整与阻塞分析",
   "level": "l2"
  },
  "CAP_3575b0f3": {
   "en": "Task Structure Parsing",
   "zh": "任务结构解析",
   "level": "l3"
  },
  "CAP_d71dfd7c": {
   "en": "Execution Status Collection",
   "zh": "执行状态采集",
   "level": "l3"
  },
  "CAP_2b1e25ae": {
   "en": "Weighted Completion Calculation",
   "zh": "加权完成度计算",
   "level": "l3"
  },
  "CAP_0610133f": {
   "en": "Partial Quality Adjustment",
   "zh": "部分质量调整",
   "level": "l3"
  },
  "CAP_ea3c792a": {
   "en": "Blocker Classification",
   "zh": "阻塞分类",
   "level": "l3"
  },
  "CAP_ffb30255": {
   "en": "Fault Degree-of-Freedom Masking Phase",
   "zh": "故障自由度识别与掩码生成",
   "level": "l2"
  },
  "CAP_ddb2063d": {
   "en": "Fault Degree-of-Freedom Masking",
   "zh": "故障自由度掩码生成",
   "level": "l3"
  },
  "CAP_7188cd51": {
   "en": "Nullspace Projection Reallocation Framework",
   "zh": "效能矩阵重构与零空间投影框架",
   "level": "l2"
  },
  "CAP_2b2e1b37": {
   "en": "Pseudoinverse Control Reallocation",
   "zh": "伪逆控制重分配",
   "level": "l3"
  },
  "CAP_7cab2066": {
   "en": "Nullspace Projection Optimization",
   "zh": "零空间投影优化",
   "level": "l3"
  },
  "CAP_9da3fe6a": {
   "en": "Reallocation & Saturation Handling Phase",
   "zh": "控制指令重分配与饱和处理阶段",
   "level": "l2"
  },
  "CAP_5bc9930a": {
   "en": "Task-Priority Degradation",
   "zh": "任务优先级降维降级",
   "level": "l3"
  },
  "CAP_3456c792": {
   "en": "Saturation & Limit Handling",
   "zh": "执行器限幅与饱和处理",
   "level": "l3"
  },
  "CAP_7913c90b": {
   "en": "Meta-RL Damage Adaptation Pretrain Phase",
   "zh": "元强化学习损伤适应预训练阶段",
   "level": "l2"
  },
  "CAP_84f42c53": {
   "en": "Meta-RL Online Rapid Adaptation Phase",
   "zh": "元强化学习在线快速适应阶段",
   "level": "l2"
  },
  "CAP_9445615b": {
   "en": "Online Rapid Adaptation",
   "zh": "在线快速适应",
   "level": "l3"
  },
  "CAP_d928578b": {
   "en": "Meta-RL Degraded Execution Phase",
   "zh": "元强化学习功能降级执行阶段",
   "level": "l2"
  },
  "CAP_6c11d690": {
   "en": "Degraded Policy Execution",
   "zh": "降级策略执行",
   "level": "l3"
  },
  "CAP_01767fbe": {
   "en": "Safe Exploration Shield",
   "zh": "安全探索屏蔽",
   "level": "l3"
  },
  "CAP_1fc8ef48": {
   "en": "Fault Semantic Encoding & Context Retrieval Phase",
   "zh": "故障语义编码与上下文检索阶段",
   "level": "l2"
  },
  "CAP_8bcf4181": {
   "en": "Fault Semantic Encoding",
   "zh": "故障语义编码",
   "level": "l3"
  },
  "CAP_fe917838": {
   "en": "Task Context Retrieval",
   "zh": "任务上下文检索",
   "level": "l3"
  },
  "CAP_89e939f4": {
   "en": "LLM Compensation Reasoning & Verification Phase",
   "zh": "LLM 补偿推理与可行性验证阶段",
   "level": "l2"
  },
  "CAP_79a6da72": {
   "en": "LLM Compensation Reasoning",
   "zh": "LLM 补偿推理",
   "level": "l3"
  },
  "CAP_f53b80b7": {
   "en": "Compensation Feasibility Verification",
   "zh": "补偿行为可行性验证",
   "level": "l3"
  },
  "CAP_29741f4b": {
   "en": "Compensation Execution & Online Adaptation Phase",
   "zh": "补偿行为执行与在线调整阶段",
   "level": "l2"
  },
  "CAP_cc802fdd": {
   "en": "Online Behavior Adaptation",
   "zh": "在线行为调整",
   "level": "l3"
  },
  "CAP_bf0f8690": {
   "en": "Geometric-Topological Partial Replanning",
   "zh": "几何-拓扑级局部运动重规划",
   "level": "l2"
  },
  "CAP_4278858f": {
   "en": "Topology-Aware Path Segment Extraction",
   "zh": "拓扑感知路径片段提取",
   "level": "l3"
  },
  "CAP_d85fa985": {
   "en": "Homotopy-Constrained Local Replanner",
   "zh": "同伦约束局部重规划器",
   "level": "l3"
  },
  "CAP_f8f1e455": {
   "en": "Elastic Band Local Deformation",
   "zh": "弹性带局部变形",
   "level": "l3"
  },
  "CAP_4d7a02d6": {
   "en": "Path Stitching and Smoothing",
   "zh": "路径拼接与平滑",
   "level": "l3"
  },
  "CAP_728d17c8": {
   "en": "Topology-Preserving Replan Verifier",
   "zh": "拓扑保持重规划验证器",
   "level": "l3"
  },
  "CAP_07550fd9": {
   "en": "Local Costmap Anomaly Monitoring",
   "zh": "局部代价地图异常监测",
   "level": "l3"
  },
  "CAP_78a42ef0": {
   "en": "Repaired Plan Dispatch",
   "zh": "修复路径下发",
   "level": "l3"
  },
  "CAP_cb4bde7b": {
   "en": "Logic-Geometric TAMP Partial Replanning",
   "zh": "逻辑-几何级任务重规划",
   "level": "l2"
  },
  "CAP_cc4e349f": {
   "en": "Fault-Aware Subplan Extraction",
   "zh": "故障感知子计划提取",
   "level": "l3"
  },
  "CAP_0bad049e": {
   "en": "Logic-Level Replanning Solver",
   "zh": "逻辑级重规划求解器",
   "level": "l3"
  },
  "CAP_b2c47c8b": {
   "en": "Geometry-Level Replanning Solver",
   "zh": "几何级重规划求解器",
   "level": "l3"
  },
  "CAP_25c77eff": {
   "en": "Plan Stitching and Validation",
   "zh": "计划拼接与一致性验证",
   "level": "l3"
  },
  "CAP_76e3472f": {
   "en": "Failure Detection and Context Encapsulation",
   "zh": "失败检测与上下文封装",
   "level": "l3"
  },
  "CAP_92b346eb": {
   "en": "Semantic Prompt Construction",
   "zh": "语义提示构建",
   "level": "l3"
  },
  "CAP_f5bbff70": {
   "en": "Adaptive Particle Count Management",
   "zh": "自适应粒子数管理",
   "level": "l3"
  },
  "CAP_bbbab606": {
   "en": "Likelihood Field Based Sensor Model",
   "zh": "似然域传感器模型",
   "level": "l3"
  },
  "CAP_37acb7da": {
   "en": "Odometry Motion Model with Diffusion",
   "zh": "带扩散的里程计运动模型",
   "level": "l3"
  },
  "CAP_a8b34a81": {
   "en": "Particle Set Initialization VIO",
   "zh": "视觉惯性粒子集初始化",
   "level": "l3"
  },
  "CAP_db17caa5": {
   "en": "IMU Driven Motion Propagation",
   "zh": "IMU 驱动运动传播",
   "level": "l3"
  },
  "CAP_1d589d1f": {
   "en": "Visual Residual Weighting",
   "zh": "视觉残差权重更新",
   "level": "l3"
  },
  "CAP_567d4287": {
   "en": "Inverse Depth Feature Estimation",
   "zh": "逆深度特征估计",
   "level": "l3"
  },
  "CAP_68f4f785": {
   "en": "Photometric Error Innovation",
   "zh": "光度误差新息项",
   "level": "l3"
  },
  "CAP_4b7c48c9": {
   "en": "Particle Resampling For VIO",
   "zh": "视觉惯性粒子重采样",
   "level": "l3"
  },
  "CAP_adf9e77a": {
   "en": "Learned Observation Model",
   "zh": "可学习观测模型",
   "level": "l3"
  },
  "CAP_335bfcf6": {
   "en": "Learned Motion Model Particle",
   "zh": "可学习运动模型（粒子）",
   "level": "l3"
  },
  "CAP_eff278c3": {
   "en": "Soft Resampling",
   "zh": "软重采样",
   "level": "l3"
  },
  "CAP_07fa1ab9": {
   "en": "Entropy Regularized Resampling",
   "zh": "熵正则化最优传输重采样",
   "level": "l3"
  },
  "CAP_9c8eb122": {
   "en": "End To End Particle Training",
   "zh": "端到端粒子滤波训练",
   "level": "l3"
  },
  "CAP_6e1488b6": {
   "en": "Latent Particle State RNN",
   "zh": "潜在粒子状态 RNN",
   "level": "l3"
  },
  "CAP_d76d5505": {
   "en": "Particle Set Pose Estimation",
   "zh": "粒子集位姿提取",
   "level": "l3"
  },
  "CAP_f2bde9b3": {
   "en": "Neural Particle Initialization",
   "zh": "神经网络粒子初始化",
   "level": "l3"
  },
  "CAP_d00182cf": {
   "en": "Particle Swarm Source Seeking",
   "zh": "粒子群源搜索",
   "level": "l2"
  },
  "CAP_8be9d3ab": {
   "en": "Swarm Information Fusion",
   "zh": "群体信息融合",
   "level": "l3"
  },
  "CAP_13e319c9": {
   "en": "PSO Velocity Update",
   "zh": "PSO速度更新",
   "level": "l3"
  },
  "CAP_1423ecfe": {
   "en": "Source Declaration",
   "zh": "源声明",
   "level": "l3"
  },
  "CAP_84d6e14d": {
   "en": "Distributed Laplacian Consensus",
   "zh": "分布式拉普拉斯共识",
   "level": "l3"
  },
  "CAP_79c9a77e": {
   "en": "Topology Health Monitoring",
   "zh": "拓扑健康监测",
   "level": "l3"
  },
  "CAP_290ba93e": {
   "en": "Procrustes Formation Quality",
   "zh": "Procrustes编队质量",
   "level": "l3"
  },
  "CAP_7023b17c": {
   "en": "VLM Driven Heterogeneous Swarm Coordination",
   "zh": "视觉语言驱动异构集群协调",
   "level": "l2"
  },
  "CAP_51257e45": {
   "en": "Heterogeneous Swarm Initialization",
   "zh": "异构集群初始化",
   "level": "l3"
  },
  "CAP_38b81274": {
   "en": "NL2Swarm Task Parsing",
   "zh": "自然语言群体任务解析",
   "level": "l3"
  },
  "CAP_d06648d1": {
   "en": "Semantic PSO Velocity Update",
   "zh": "语义增强PSO速度更新",
   "level": "l3"
  },
  "CAP_9491c8fe": {
   "en": "Distributed Consensus gbest",
   "zh": "分布式共识gbest",
   "level": "l3"
  },
  "CAP_8807b9e7": {
   "en": "Swarm Visualization Dashboard",
   "zh": "集群可视化仪表盘",
   "level": "l3"
  },
  "CAP_56d49cc5": {
   "en": "Multiview RGB-D Acquisition",
   "zh": "多视图RGB-D数据采集",
   "level": "l2"
  },
  "CAP_48a52a57": {
   "en": "RGB-D Camera Calibration and Pose Estimation",
   "zh": "RGB-D相机标定与位姿估计",
   "level": "l3"
  },
  "CAP_c1857067": {
   "en": "Open-Vocabulary 2D Part Discovery",
   "zh": "开放词汇2D部件发现",
   "level": "l2"
  },
  "CAP_e8c07d06": {
   "en": "CLIP Open-Vocabulary Matching",
   "zh": "CLIP开放词汇匹配",
   "level": "l3"
  },
  "CAP_dcf35ec0": {
   "en": "2D-to-3D Semantic Feature Fusion",
   "zh": "2D到3D语义特征融合",
   "level": "l2"
  },
  "CAP_6d6211ad": {
   "en": "Multiview Feature Aggregation",
   "zh": "多视图特征聚合",
   "level": "l3"
  },
  "CAP_e2caf4c4": {
   "en": "3D Part Instance Segmentation",
   "zh": "3D部件实例分割",
   "level": "l2"
  },
  "CAP_bf5115e5": {
   "en": "3D Feature Clustering",
   "zh": "3D特征聚类",
   "level": "l3"
  },
  "CAP_1650bbd6": {
   "en": "Text-Guided 3D Part Querying",
   "zh": "文本引导3D部件查询",
   "level": "l3"
  },
  "CAP_ddf12c76": {
   "en": "Zero-Shot 3D Part Segmentation Pipeline",
   "zh": "零样本3D部件分割流水线",
   "level": "l3"
  },
  "CAP_e1058cac": {
   "en": "3D Point Cloud-Text Alignment",
   "zh": "3D点云-文本对齐",
   "level": "l2"
  },
  "CAP_d2dee441": {
   "en": "3D Backbone Feature Extraction",
   "zh": "3D骨干特征提取",
   "level": "l3"
  },
  "CAP_4ce20fca": {
   "en": "3D-to-LLM Projection",
   "zh": "3D到LLM投影对齐",
   "level": "l3"
  },
  "CAP_5d04bf9e": {
   "en": "Instruction-Guided Part Segmentation",
   "zh": "指令引导部件分割",
   "level": "l2"
  },
  "CAP_330db97d": {
   "en": "Instruction Part Segmentation Decoding",
   "zh": "指令部件分割解码",
   "level": "l3"
  },
  "CAP_82ae1bdd": {
   "en": "Part Functional Reasoning",
   "zh": "部件功能推理",
   "level": "l2"
  },
  "CAP_b41715fb": {
   "en": "Mask Feature Pooling",
   "zh": "掩码特征池化",
   "level": "l3"
  },
  "CAP_e576226e": {
   "en": "Part Functional Description Generation",
   "zh": "部件功能描述生成",
   "level": "l3"
  },
  "CAP_08f709f9": {
   "en": "Passing Trajectory Prediction",
   "zh": "通过场景轨迹预测(伞)",
   "level": "l2"
  },
  "CAP_68048a88": {
   "en": "Passing Game-Theoretic Modeling",
   "zh": "通过博弈建模(伞)",
   "level": "l2"
  },
  "CAP_733756bf": {
   "en": "Online Adaptive Passing Execution",
   "zh": "在线自适应通过执行(伞)",
   "level": "l2"
  },
  "CAP_b755f4c3": {
   "en": "Game Theoretic Modeling",
   "zh": "博弈模型构建",
   "level": "l3"
  },
  "CAP_afdc7684": {
   "en": "Online Adaptive Execution",
   "zh": "在线自适应执行",
   "level": "l3"
  },
  "CAP_2d129039": {
   "en": "Interaction Data Generation",
   "zh": "交互数据生成",
   "level": "l3"
  },
  "CAP_b5e134ac": {
   "en": "Pedestrian Manifold Estimation",
   "zh": "行人流形估计(伞)",
   "level": "l2"
  },
  "CAP_f78a5d7a": {
   "en": "Homotopy Path Enumeration",
   "zh": "同伦路径枚举(伞)",
   "level": "l2"
  },
  "CAP_fbdc52ae": {
   "en": "Constrained Path Deformation",
   "zh": "约束路径变形(伞)",
   "level": "l2"
  },
  "CAP_56371ea7": {
   "en": "Lateral Passing Distance Verification",
   "zh": "侧向通过距离验证(伞)",
   "level": "l2"
  },
  "CAP_3044d561": {
   "en": "C2 Continuous Path Smoothing",
   "zh": "C²连续路径平滑(伞)",
   "level": "l2"
  },
  "CAP_638e662f": {
   "en": "Pedestrian Personal-Space Manifold Estimation",
   "zh": "行人个人空间流形估计",
   "level": "l3"
  },
  "CAP_0ae25213": {
   "en": "Homotopy Class Enumeration",
   "zh": "同伦类枚举",
   "level": "l3"
  },
  "CAP_0f67fbfa": {
   "en": "Lateral Distance Verification",
   "zh": "侧向通过距离验证",
   "level": "l3"
  },
  "CAP_79dad20e": {
   "en": "Brake Requirement Analysis",
   "zh": "制动器需求定义与约束分析",
   "level": "l3"
  },
  "CAP_03ce1250": {
   "en": "Spring-EM Force Matching Design",
   "zh": "弹簧-电磁对抗参数设计",
   "level": "l3"
  },
  "CAP_765726ba": {
   "en": "Spring Force Calculation (Mini)",
   "zh": "微型弹簧力计算",
   "level": "l3"
  },
  "CAP_6dc843c6": {
   "en": "Friction Pair and Thermal Design",
   "zh": "摩擦副选型与热分析编排",
   "level": "l3"
  },
  "CAP_514a8d3e": {
   "en": "Friction Pair Selection (Mini Brake)",
   "zh": "微型制动器摩擦副选型",
   "level": "l3"
  },
  "CAP_ac3474d5": {
   "en": "Thermal Analysis (Brake Mini)",
   "zh": "微型制动器热分析",
   "level": "l3"
  },
  "CAP_84beb67e": {
   "en": "Magnetic Circuit Simulation and Fail-safe",
   "zh": "磁路仿真与失效安全编排",
   "level": "l3"
  },
  "CAP_229f0a77": {
   "en": "Electromagnetic Force Simulation (Axisymmetric)",
   "zh": "轴对称电磁力仿真",
   "level": "l3"
  },
  "CAP_8cfb6418": {
   "en": "Miniature Part Fabrication",
   "zh": "微型零件制造与装配",
   "level": "l3"
  },
  "CAP_12dba0df": {
   "en": "Brake Performance Verification",
   "zh": "制动器性能测试与验证",
   "level": "l3"
  },
  "CAP_606fb953": {
   "en": "Wear Life Prediction (Spring Brake)",
   "zh": "弹簧制动器磨损寿命预测",
   "level": "l3"
  },
  "CAP_6f127daa": {
   "en": "PM-EM Brake Passive Engage",
   "zh": "永磁-电磁被动锁死",
   "level": "l3"
  },
  "CAP_8f08dfc9": {
   "en": "PM-EM Impedance Modulation",
   "zh": "永磁-电磁阻抗调制",
   "level": "l3"
  },
  "CAP_516c349f": {
   "en": "PM-EM Flux Observer",
   "zh": "永磁-电磁磁通观测器",
   "level": "l3"
  },
  "CAP_9d61e8b6": {
   "en": "PM-EM Manual Release Mech",
   "zh": "永磁-电磁手动释放机构",
   "level": "l3"
  },
  "CAP_0bb4de94": {
   "en": "PM-EM Health Monitoring",
   "zh": "永磁-电磁健康监测",
   "level": "l3"
  },
  "CAP_64ad0dbf": {
   "en": "Self-locking Condition Analysis",
   "zh": "自锁条件分析",
   "level": "l3"
  },
  "CAP_2eaf104a": {
   "en": "Self-locking Release Mechanism Design",
   "zh": "自锁复位机构设计",
   "level": "l3"
  },
  "CAP_b3a371a4": {
   "en": "Bistable Compliant Mechanism Simulation",
   "zh": "双稳态柔顺机构仿真",
   "level": "l3"
  },
  "CAP_cf9cb8aa": {
   "en": "Self-locking Reliability Assessment",
   "zh": "自锁可靠性评估",
   "level": "l3"
  },
  "CAP_abc00ab0": {
   "en": "SeaComplianceMechanicalDesign",
   "zh": "SEA 物理设计与建模",
   "level": "l2"
  },
  "CAP_3a59e31e": {
   "en": "SeaForceControlInteraction",
   "zh": "SEA 力控与柔顺交互",
   "level": "l2"
  },
  "CAP_9498f08d": {
   "en": "ElasticElementDesign",
   "zh": "弹性元件选型与设计",
   "level": "l3"
  },
  "CAP_d650722c": {
   "en": "ProprioceptiveJointTorqueSensing",
   "zh": "本体感受式关节力矩感知",
   "level": "l3"
  },
  "CAP_d09d7a8a": {
   "en": "MechatronicIntegration",
   "zh": "SEA 机电集成设计",
   "level": "l3"
  },
  "CAP_d1cf9b39": {
   "en": "CascadedForcePositionControl",
   "zh": "级联力-位置控制",
   "level": "l3"
  },
  "CAP_4f519d72": {
   "en": "SeaImpedanceRendering",
   "zh": "SEA 阻抗渲染",
   "level": "l3"
  },
  "CAP_9239d8c4": {
   "en": "DisturbanceObserverForceEnhancement",
   "zh": "扰动观测器力控增强",
   "level": "l3"
  },
  "CAP_85cdcca3": {
   "en": "ForceControlledTeleopCobot",
   "zh": "力控遥操作与协作应用",
   "level": "l3"
  },
  "CAP_0656c75b": {
   "en": "UnderactuatedMechanismDesign",
   "zh": "欠驱动机构设计",
   "level": "l2"
  },
  "CAP_7f9c2e93": {
   "en": "PassiveShapeAdaptation",
   "zh": "被动形状自适应",
   "level": "l3"
  },
  "CAP_76f452ce": {
   "en": "PassiveJointComplianceModeling",
   "zh": "被动关节柔顺建模",
   "level": "l3"
  },
  "CAP_3fe79c1a": {
   "en": "DifferentialTorqueDistribution",
   "zh": "差动力矩分配",
   "level": "l3"
  },
  "CAP_604a9c89": {
   "en": "ContactKinematicsPassive",
   "zh": "被动接触运动学",
   "level": "l3"
  },
  "CAP_eb1cc46d": {
   "en": "FinRayPassiveCompliance",
   "zh": "鳍条效应被动柔顺",
   "level": "l3"
  },
  "CAP_6df8e04b": {
   "en": "UnderactuatedGraspSynthesis",
   "zh": "欠驱动抓取综合",
   "level": "l3"
  },
  "CAP_0383d3a0": {
   "en": "GraspStabilityPassive",
   "zh": "被动抓取稳定性验证",
   "level": "l3"
  },
  "CAP_f5802257": {
   "en": "VsaMechanismDesign",
   "zh": "VSA 机构设计与选型",
   "level": "l2"
  },
  "CAP_3de44726": {
   "en": "VsaSimulationValidation",
   "zh": "VSA 仿真与验证",
   "level": "l2"
  },
  "CAP_8d08c276": {
   "en": "VsaTopologySelect",
   "zh": "VSA 拓扑选型",
   "level": "l3"
  },
  "CAP_59bacbf1": {
   "en": "StiffnessMechDesign",
   "zh": "刚度调节机构设计",
   "level": "l3"
  },
  "CAP_87d2a434": {
   "en": "ElasticElementSelect",
   "zh": "VSA 弹性元件选型",
   "level": "l3"
  },
  "CAP_19c4b217": {
   "en": "DampingMechDesign",
   "zh": "可变阻尼机构设计",
   "level": "l3"
  },
  "CAP_cb4f9f07": {
   "en": "VsaCoSimulation",
   "zh": "VSA 联合仿真",
   "level": "l3"
  },
  "CAP_e97c6892": {
   "en": "VsaPrototypeTest",
   "zh": "VSA 样机测试",
   "level": "l3"
  },
  "CAP_d795c042": {
   "en": "Passive Conductive-PCM Thermal Management",
   "zh": "被动传导-相变热缓冲管理",
   "level": "l2"
  },
  "CAP_e6c40a6c": {
   "en": "Graphene TIM Advisor",
   "zh": "石墨烯热界面材料选型",
   "level": "l3"
  },
  "CAP_911139a2": {
   "en": "VC/Heat Pipe Design Calculator",
   "zh": "均温板/热管设计计算",
   "level": "l3"
  },
  "CAP_99c331d4": {
   "en": "PCM Selection Advisor",
   "zh": "相变材料选型",
   "level": "l3"
  },
  "CAP_dd646120": {
   "en": "Thermal Buffer Sizing",
   "zh": "热缓冲系统尺寸设计",
   "level": "l3"
  },
  "CAP_abf3d102": {
   "en": "PCM Cycle Life Estimator",
   "zh": "PCM循环寿命评估",
   "level": "l3"
  },
  "CAP_8548e05f": {
   "en": "Biomimetic Sweating Thermal Regulation",
   "zh": "仿生汗腺蒸发冷却调控",
   "level": "l2"
  },
  "CAP_cd1c407a": {
   "en": "Biomimetic Sweat Gland Thermal Regulation",
   "zh": "仿生汗腺温敏热调节",
   "level": "l3"
  },
  "CAP_620b3854": {
   "en": "Capillary Driven Coolant Delivery",
   "zh": "毛细力驱动冷却液输运",
   "level": "l3"
  },
  "CAP_f6ccc342": {
   "en": "Hydrogel Reservoir Passive Water Storage",
   "zh": "水凝胶被动储液",
   "level": "l3"
  },
  "CAP_7cec2741": {
   "en": "Nanostructured Evaporative Surface Enhancement",
   "zh": "纳米结构蒸发面增强",
   "level": "l3"
  },
  "CAP_a08eb12f": {
   "en": "Moisture Harvesting Regeneration Cycle",
   "zh": "吸湿再生循环",
   "level": "l3"
  },
  "CAP_87cc5543": {
   "en": "Radiative Sky Cooling",
   "zh": "大气窗口辐射制冷",
   "level": "l2"
  },
  "CAP_a8ab2565": {
   "en": "Spectral Emissivity Optimization",
   "zh": "光谱选择性发射率优化",
   "level": "l3"
  },
  "CAP_0ca67a8a": {
   "en": "Daytime Radiative Cooler Design",
   "zh": "日间辐射制冷器设计",
   "level": "l3"
  },
  "CAP_37157dc6": {
   "en": "Thermal Interface Integration (Radiative)",
   "zh": "辐射制冷热界面集成",
   "level": "l3"
  },
  "CAP_bffc56a6": {
   "en": "Convective Shield Design",
   "zh": "对流屏蔽罩设计",
   "level": "l3"
  },
  "CAP_e83f5a24": {
   "en": "Radiative Cooling Power Calculation",
   "zh": "辐射制冷净功率计算",
   "level": "l3"
  },
  "CAP_4f7106f8": {
   "en": "Safe Corridor Hard-constrained Trajectory Optimization",
   "zh": "安全走廊硬约束轨迹优化",
   "level": "l2"
  },
  "CAP_ed56a433": {
   "en": "Time Allocation Optimization",
   "zh": "时间分配优化",
   "level": "l3"
  },
  "CAP_0fe2fe10": {
   "en": "Elastic Band & Graph-based Path Smoothing",
   "zh": "弹性带与图优化路径平滑",
   "level": "l2"
  },
  "CAP_53dee310": {
   "en": "Path Discretization",
   "zh": "路径离散化与带构建",
   "level": "l3"
  },
  "CAP_c674d081": {
   "en": "Graph-based Path Smoothing",
   "zh": "基于图优化的路径平滑",
   "level": "l3"
  },
  "CAP_ce6a4e6d": {
   "en": "Adaptive Band Resampling",
   "zh": "自适应带重采样",
   "level": "l3"
  },
  "CAP_aebd6cfc": {
   "en": "Obstacle Distance Query",
   "zh": "障碍物距离查询",
   "level": "l3"
  },
  "CAP_def9c84c": {
   "en": "End-to-end Imitation & Diffusion-based Generative Smoothing",
   "zh": "端到端模仿与扩散生成式平滑",
   "level": "l2"
  },
  "CAP_3c223a74": {
   "en": "Conditional Diffusion Model Architecture",
   "zh": "条件扩散模型架构",
   "level": "l3"
  },
  "CAP_e29c70ec": {
   "en": "Conditional Trajectory Generation Inference",
   "zh": "条件轨迹生成推理",
   "level": "l3"
  },
  "CAP_de86db06": {
   "en": "Dynamics-Based Payload Identification",
   "zh": "基于动力学的负载辨识",
   "level": "l2"
  },
  "CAP_c945088e": {
   "en": "Physically Consistent Payload Parameter Recovery",
   "zh": "物理一致性参数修复",
   "level": "l3"
  },
  "CAP_fa49946a": {
   "en": "Payload Parameter Uncertainty Quantification",
   "zh": "负载参数不确定性量化",
   "level": "l3"
  },
  "CAP_f1362db2": {
   "en": "Excitation Trajectory Optimization",
   "zh": "激励轨迹优化",
   "level": "l3"
  },
  "CAP_503e9a8b": {
   "en": "Weight Reconstruction via Least Squares",
   "zh": "递推最小二乘负载参数估计",
   "level": "l3"
  },
  "CAP_e2a3ac6b": {
   "en": "Joint State Sensing and Differentiation",
   "zh": "关节状态采集与运动学微分",
   "level": "l3"
  },
  "CAP_00258d00": {
   "en": "Learning-Based Payload Estimation",
   "zh": "基于学习的负载估计",
   "level": "l2"
  },
  "CAP_3b1ea0f9": {
   "en": "Online Neural Payload Inference",
   "zh": "在线神经负载参数推断",
   "level": "l3"
  },
  "CAP_ca660271": {
   "en": "Visuotactile Joint Payload Inference",
   "zh": "视觉触觉联合负载推理",
   "level": "l2"
  },
  "CAP_8dbf5c78": {
   "en": "Visuotactile Data Synchronization",
   "zh": "视觉触觉数据同步",
   "level": "l3"
  },
  "CAP_cfe300ae": {
   "en": "Visual Geometry and Material Inference",
   "zh": "视觉几何与材质推理",
   "level": "l3"
  },
  "CAP_a9268fdd": {
   "en": "Payload Physics Property Regression",
   "zh": "载荷物理属性回归",
   "level": "l3"
  },
  "CAP_4288a124": {
   "en": "Bayesian Recursive Payload Estimation",
   "zh": "贝叶斯递推载荷估计",
   "level": "l2"
  },
  "CAP_5f3a5b4d": {
   "en": "Bayesian Payload State Estimation",
   "zh": "贝叶斯载荷状态估计",
   "level": "l3"
  },
  "CAP_78f3a66c": {
   "en": "Distributed Payload Filter Fusion",
   "zh": "分布式载荷滤波融合",
   "level": "l3"
  },
  "CAP_1e4bd8a3": {
   "en": "Payload Uncertainty-Aware Force Allocation",
   "zh": "载荷不确定性感知力分配",
   "level": "l3"
  },
  "CAP_52efa4ad": {
   "en": "Foundation-Model Multimodal Payload Estimation",
   "zh": "基础模型多模态载荷估计",
   "level": "l2"
  },
  "CAP_c8ab1e81": {
   "en": "VLM Material Density Prior",
   "zh": "视觉语言模型材质密度先验",
   "level": "l3"
  },
  "CAP_132201f0": {
   "en": "Adaptive Force Distribution Solver",
   "zh": "自适应力分配求解器",
   "level": "l3"
  },
  "CAP_5dda9a3e": {
   "en": "PBR Multi-view Acquisition",
   "zh": "PBR多视角采集与标定",
   "level": "l2"
  },
  "CAP_47f623a7": {
   "en": "PBR Geometry & Lighting Estimation",
   "zh": "PBR几何与光照估计",
   "level": "l2"
  },
  "CAP_323d48f4": {
   "en": "Inverse PBR Material Optimization",
   "zh": "逆渲染PBR材质优化",
   "level": "l2"
  },
  "CAP_a0ac3cbc": {
   "en": "PBR Texture Post-processing",
   "zh": "PBR纹理后处理与导出",
   "level": "l2"
  },
  "CAP_32f0e224": {
   "en": "Embodied Multi-modal Acquisition",
   "zh": "具身多模态采集",
   "level": "l2"
  },
  "CAP_217b5eac": {
   "en": "BRDF Fitting & Physics Mapping",
   "zh": "BRDF拟合与物理映射",
   "level": "l2"
  },
  "CAP_75bc84aa": {
   "en": "PBR Cross-engine Calibration Validation",
   "zh": "PBR跨引擎标定验证",
   "level": "l2"
  },
  "CAP_f1df79e3": {
   "en": "Multi-view Geometry Reconstruction",
   "zh": "多视角几何重建",
   "level": "l3"
  },
  "CAP_4164bdaa": {
   "en": "Lighting Estimation From Images",
   "zh": "基于图像的光照估计",
   "level": "l3"
  },
  "CAP_4fe28f75": {
   "en": "Inverse Rendering Optimization Loop",
   "zh": "逆渲染材质优化",
   "level": "l3"
  },
  "CAP_dc387f65": {
   "en": "PBR Texture Map Packing",
   "zh": "PBR贴图打包与后处理",
   "level": "l3"
  },
  "CAP_ca7d8e50": {
   "en": "Multi-Modal Object Asset Acquisition",
   "zh": "多模态物体资产采集",
   "level": "l3"
  },
  "CAP_35753576": {
   "en": "Robotic Scanning Automation",
   "zh": "机器人扫描自动化",
   "level": "l3"
  },
  "CAP_d4239664": {
   "en": "Physics Parameter Mapping",
   "zh": "物理参数映射",
   "level": "l3"
  },
  "CAP_c832e7ae": {
   "en": "Cross-engine Material Validation",
   "zh": "跨引擎材质验证",
   "level": "l3"
  },
  "CAP_987ce855": {
   "en": "Interactive Action Demonstration Collection",
   "zh": "交互式动作演示采集",
   "level": "l3"
  },
  "CAP_00d77e74": {
   "en": "Action Schema Induction from Traces",
   "zh": "基于轨迹的动作模式归纳",
   "level": "l3"
  },
  "CAP_f7cc5170": {
   "en": "Active Query Generation for Model Ambiguity",
   "zh": "针对模型歧义的主动查询生成",
   "level": "l3"
  },
  "CAP_bedb4cfe": {
   "en": "Incremental PDDL Model Update",
   "zh": "增量式PDDL模型更新",
   "level": "l3"
  },
  "CAP_9277ddc0": {
   "en": "NL to PDDL Types",
   "zh": "自然语言到PDDL类型层次",
   "level": "l3"
  },
  "CAP_700ffe83": {
   "en": "NL to PDDL Predicates",
   "zh": "自然语言到PDDL谓词",
   "level": "l3"
  },
  "CAP_40f509dc": {
   "en": "NL to PDDL Actions",
   "zh": "自然语言到PDDL动作",
   "level": "l3"
  },
  "CAP_7594066e": {
   "en": "Relaxed Graphplan Heuristic",
   "zh": "放宽规划图启发式",
   "level": "l2"
  },
  "CAP_582ec8b5": {
   "en": "Relaxed Planning Graph Construction",
   "zh": "放宽规划图构建",
   "level": "l3"
  },
  "CAP_650d7591": {
   "en": "Additive Landmark Cost Evaluation",
   "zh": "加性地标代价评估",
   "level": "l3"
  },
  "CAP_66a3bda9": {
   "en": "Operator Counting LP Heuristic",
   "zh": "算子计数线性规划启发式",
   "level": "l2"
  },
  "CAP_e6fcceca": {
   "en": "State Equation Constraint Heuristic",
   "zh": "状态方程约束启发式",
   "level": "l3"
  },
  "CAP_12d2b039": {
   "en": "Flow Constraint Heuristic",
   "zh": "流约束启发式",
   "level": "l3"
  },
  "CAP_88033a97": {
   "en": "Potential Constraint Heuristic",
   "zh": "潜力约束启发式",
   "level": "l3"
  },
  "CAP_a6308b98": {
   "en": "LM-Cut as Operator Counting",
   "zh": "算子计数框架下的LM-Cut",
   "level": "l3"
  },
  "CAP_bf85d361": {
   "en": "Neural Graph Heuristic Learning",
   "zh": "神经图启发式学习",
   "level": "l2"
  },
  "CAP_9af40528": {
   "en": "PDDL State To Graph Conversion",
   "zh": "PDDL状态图转换",
   "level": "l3"
  },
  "CAP_a0658755": {
   "en": "GNN Based Heuristic Regression",
   "zh": "基于GNN的启发式回归",
   "level": "l3"
  },
  "CAP_dcbe3004": {
   "en": "Action Cost Prediction Network",
   "zh": "动作代价预测网络",
   "level": "l3"
  },
  "CAP_9511c3ec": {
   "en": "Online Model Refinement via Search Feedback",
   "zh": "基于搜索反馈的在线模型校准",
   "level": "l3"
  },
  "CAP_7cedeb2b": {
   "en": "Static Invariant Extraction",
   "zh": "静态不变性提取",
   "level": "l3"
  },
  "CAP_4f28afa2": {
   "en": "Deterministic State Simulation",
   "zh": "确定性状态模拟",
   "level": "l3"
  },
  "CAP_30cbc9c1": {
   "en": "Goal Condition Evaluation",
   "zh": "目标条件评估",
   "level": "l3"
  },
  "CAP_2511cc23": {
   "en": "Plan Validation Report Generation",
   "zh": "计划验证报告生成",
   "level": "l3"
  },
  "CAP_d3b89b4a": {
   "en": "PDDL Deterministic Plan Validation",
   "zh": "PDDL确定性计划验证",
   "level": "l2"
  },
  "CAP_71e5360e": {
   "en": "Timed Plan to TA Translation",
   "zh": "时序计划到时间自动机转换",
   "level": "l3"
  },
  "CAP_c6c0fe2e": {
   "en": "Resource Bound Verification",
   "zh": "资源边界验证",
   "level": "l3"
  },
  "CAP_c656957a": {
   "en": "Temporal Deadline Verification",
   "zh": "时序截止时间验证",
   "level": "l3"
  },
  "CAP_830cd5c0": {
   "en": "Counterexample-Guided Plan Repair",
   "zh": "反例引导计划修复",
   "level": "l3"
  },
  "CAP_2a6d8c56": {
   "en": "Timed Resource Model Checking",
   "zh": "时序资源模型检测",
   "level": "l2"
  },
  "CAP_fa5deb6a": {
   "en": "Simulation-Based Execution Monitor",
   "zh": "仿真执行监控",
   "level": "l3"
  },
  "CAP_d4a1016f": {
   "en": "Embodied Simulation Plan Monitoring",
   "zh": "具身仿真计划监控",
   "level": "l2"
  },
  "CAP_b759e72d": {
   "en": "Knowledge-Driven Trajectory Reasoning Pipeline",
   "zh": "知识驱动轨迹推理管线",
   "level": "l2"
  },
  "CAP_a149183b": {
   "en": "Multimodal Trajectory Generation (CVAE)",
   "zh": "多模态轨迹生成（CVAE）",
   "level": "l3"
  },
  "CAP_daf9aa9b": {
   "en": "Scene-Constrained Trajectory Refinement",
   "zh": "场景约束轨迹精炼",
   "level": "l3"
  },
  "CAP_c12d2733": {
   "en": "Goal Distribution Estimation",
   "zh": "目标分布估计",
   "level": "l3"
  },
  "CAP_03ea85b0": {
   "en": "Goal-Conditioned Trajectory Generation",
   "zh": "目标条件轨迹生成",
   "level": "l3"
  },
  "CAP_b34dfc1d": {
   "en": "Scene Semantic Extraction",
   "zh": "场景语义提取与知识编码",
   "level": "l3"
  },
  "CAP_c2ad6961": {
   "en": "Knowledge Graph Reasoning",
   "zh": "知识图谱推理",
   "level": "l3"
  },
  "CAP_85edef22": {
   "en": "LLM Trajectory Evaluation",
   "zh": "大语言模型轨迹评估",
   "level": "l3"
  },
  "CAP_bf8e7272": {
   "en": "Physical Beacon Broadcasting",
   "zh": "物理信标广播",
   "level": "l2"
  },
  "CAP_fead5ea9": {
   "en": "Beacon Encoding",
   "zh": "信标编码与调制",
   "level": "l3"
  },
  "CAP_088a31b5": {
   "en": "Physical Signal Broadcast",
   "zh": "物理信号广播发射",
   "level": "l3"
  },
  "CAP_01c4cc94": {
   "en": "Physical Signal Listening",
   "zh": "物理信号监听",
   "level": "l2"
  },
  "CAP_1829f560": {
   "en": "Signal Listening",
   "zh": "物理信号监听采集",
   "level": "l3"
  },
  "CAP_dd5299c2": {
   "en": "Physical Beacon Decoding",
   "zh": "物理信标解码",
   "level": "l2"
  },
  "CAP_6c4de845": {
   "en": "Beacon Decoding",
   "zh": "信标解调解码",
   "level": "l3"
  },
  "CAP_513c6fb5": {
   "en": "Visual Frame Acquisition",
   "zh": "视觉帧采集与预处理",
   "level": "l2"
  },
  "CAP_4183c215": {
   "en": "Visual Frame Selection",
   "zh": "视觉关键帧筛选",
   "level": "l3"
  },
  "CAP_cc1253c6": {
   "en": "Visual Semantic Feature Extraction",
   "zh": "视觉语义特征提取",
   "level": "l3"
  },
  "CAP_325ff9fc": {
   "en": "Robot Identity Discrimination",
   "zh": "机器人身份判别",
   "level": "l2"
  },
  "CAP_2a66d2f6": {
   "en": "Robot Identity Verification",
   "zh": "机器人身份判别",
   "level": "l3"
  },
  "CAP_0f3b56fc": {
   "en": "Semantic Scene Change Detection",
   "zh": "语义场景变化检测",
   "level": "l3"
  },
  "CAP_a5d28e2b": {
   "en": "Passive Discovery Coordination",
   "zh": "无源/有源发现协调",
   "level": "l2"
  },
  "CAP_f7b93614": {
   "en": "Passive-Active Discovery Coordination",
   "zh": "无源/有源发现协调",
   "level": "l3"
  },
  "CAP_78a2aac1": {
   "en": "Intent Vector Construction",
   "zh": "意图向量构建",
   "level": "l2"
  },
  "CAP_68491a49": {
   "en": "Intent Vector Encode",
   "zh": "意图向量编码",
   "level": "l3"
  },
  "CAP_73303b1d": {
   "en": "Ledger Intent Publish",
   "zh": "账本意图发布",
   "level": "l2"
  },
  "CAP_c7cb9db6": {
   "en": "Ledger Intent Write",
   "zh": "账本意图发布",
   "level": "l3"
  },
  "CAP_844c8afe": {
   "en": "Intent Semantic Match",
   "zh": "意图语义匹配",
   "level": "l2"
  },
  "CAP_2cba6993": {
   "en": "Intent Similarity Matching",
   "zh": "意图语义匹配",
   "level": "l3"
  },
  "CAP_55dcc2ec": {
   "en": "Intent Cache Sync",
   "zh": "意图缓存同步",
   "level": "l3"
  },
  "CAP_b22c7af0": {
   "en": "DIDComm Peer Connect",
   "zh": "DIDComm 对等连接建立",
   "level": "l2"
  },
  "CAP_b163b231": {
   "en": "DIDComm Channel Setup",
   "zh": "DIDComm 对等通道建立",
   "level": "l3"
  },
  "CAP_360b7d5c": {
   "en": "Distributed Pose Graph Optimization over P2P",
   "zh": "基于P2P的分布式位姿图优化",
   "level": "l2"
  },
  "CAP_0cc4618d": {
   "en": "P2P Constraint Exchange",
   "zh": "P2P约束交换",
   "level": "l3"
  },
  "CAP_22b77899": {
   "en": "Distributed SE-Sync Optimization",
   "zh": "分布式SE-Sync优化",
   "level": "l3"
  },
  "CAP_bee9f649": {
   "en": "ADMM Pose Graph Consensus",
   "zh": "ADMM位姿图共识",
   "level": "l3"
  },
  "CAP_c59534ca": {
   "en": "Gossip Asynchronous Optimization",
   "zh": "Gossip异步优化",
   "level": "l3"
  },
  "CAP_ab3f7d17": {
   "en": "Map Fusion with Deduplication",
   "zh": "地图融合去重",
   "level": "l3"
  },
  "CAP_5717ada3": {
   "en": "Communication-Aware Optimization Scheduling",
   "zh": "通信感知优化调度",
   "level": "l3"
  },
  "CAP_dfcc32dd": {
   "en": "Semantic-Neural Map Sharing over P2P",
   "zh": "基于P2P的语义-神经地图共享",
   "level": "l2"
  },
  "CAP_c94f0d95": {
   "en": "Semantic Keyframe Extraction",
   "zh": "语义关键帧提取",
   "level": "l3"
  },
  "CAP_68ea2679": {
   "en": "Neural Submap Encoding",
   "zh": "神经子图编码",
   "level": "l3"
  },
  "CAP_4753b642": {
   "en": "Semantic Query Matching",
   "zh": "语义查询匹配",
   "level": "l3"
  },
  "CAP_6a373196": {
   "en": "Cross-Robot Neural Fusion",
   "zh": "跨机器人神经场融合",
   "level": "l3"
  },
  "CAP_a6d1dbaa": {
   "en": "Adaptive Semantic Compression",
   "zh": "自适应语义压缩",
   "level": "l3"
  },
  "CAP_9a250040": {
   "en": "Task-Driven Interactive Query over P2P",
   "zh": "基于P2P的任务驱动交互式查询",
   "level": "l2"
  },
  "CAP_7619ed38": {
   "en": "Task-Aware Query Generation",
   "zh": "任务感知查询生成",
   "level": "l3"
  },
  "CAP_e7c1e310": {
   "en": "Semantic Peer Routing",
   "zh": "语义对等路由",
   "level": "l3"
  },
  "CAP_da8441d4": {
   "en": "Conflict-Aware Response Fusion",
   "zh": "冲突感知响应融合",
   "level": "l3"
  },
  "CAP_8c1faa35": {
   "en": "Peg in Hole Tactile Perception",
   "zh": "多模态触觉插装的感知与粗定位",
   "level": "l2"
  },
  "CAP_00aeb915": {
   "en": "Peg in Hole Sim2Real Insertion",
   "zh": "多模态触觉插装的迁移与力控插入",
   "level": "l2"
  },
  "CAP_46946bd7": {
   "en": "Multimodal Fusion Policy",
   "zh": "多模态融合策略",
   "level": "l3"
  },
  "CAP_847044c1": {
   "en": "Peg in Hole Compliance Modeling",
   "zh": "轴孔顺应控制的建模与接触估计",
   "level": "l2"
  },
  "CAP_47a19202": {
   "en": "Peg in Hole Compliance Synthesis",
   "zh": "轴孔顺应矩阵合成",
   "level": "l2"
  },
  "CAP_f6aa58c4": {
   "en": "Peg in Hole Hybrid Control",
   "zh": "轴孔力位混合控制与稳定性监控",
   "level": "l2"
  },
  "CAP_6bcdaa9d": {
   "en": "Task Space Dynamics Derivation",
   "zh": "任务空间动力学推导",
   "level": "l3"
  },
  "CAP_0abdb550": {
   "en": "Compliance Matrix Synthesis",
   "zh": "顺应矩阵合成",
   "level": "l3"
  },
  "CAP_078bd8b6": {
   "en": "Passivity Based Stability Monitor",
   "zh": "无源性稳定性监控",
   "level": "l3"
  },
  "CAP_2030b26a": {
   "en": "Continuous-Time Trajectory Estimation",
   "zh": "连续时间轨迹估计",
   "level": "l3"
  },
  "CAP_4bc36f46": {
   "en": "Rolling Shutter Compensation",
   "zh": "卷帘快门补偿",
   "level": "l3"
  },
  "CAP_ac6b6a72": {
   "en": "Motion Compensated Observation",
   "zh": "运动补偿观测",
   "level": "l3"
  },
  "CAP_fe8fcd98": {
   "en": "Ego-Motion Estimation",
   "zh": "自运动估计",
   "level": "l3"
  },
  "CAP_759125cd": {
   "en": "Visual Motion Compensation",
   "zh": "视觉运动补偿",
   "level": "l3"
  },
  "CAP_e3a6a4dd": {
   "en": "Invariant Feature Extraction",
   "zh": "不变特征提取",
   "level": "l3"
  },
  "CAP_5e9f44f6": {
   "en": "Continuous-Time Trajectory Modeling Pipeline",
   "zh": "连续时间轨迹建模流水线",
   "level": "l2"
  },
  "CAP_204f8982": {
   "en": "Point Cloud Motion Compensation Pipeline",
   "zh": "点云运动补偿流水线",
   "level": "l2"
  },
  "CAP_e1c462ae": {
   "en": "Trajectory Optimization and Fusion Pipeline",
   "zh": "轨迹优化与融合流水线",
   "level": "l2"
  },
  "CAP_48c4f363": {
   "en": "Sensor-Platform Extrinsic Calibration Pipeline",
   "zh": "传感器-平台外参标定流水线",
   "level": "l2"
  },
  "CAP_350e548a": {
   "en": "Platform Body Motion Estimation Pipeline",
   "zh": "平台本体运动估计流水线",
   "level": "l2"
  },
  "CAP_69add1d3": {
   "en": "Motion-Compensated Observation Alignment",
   "zh": "运动补偿观测对齐",
   "level": "l2"
  },
  "CAP_cc6dd403": {
   "en": "Joint State Graph Optimization Pipeline",
   "zh": "联合状态图优化流水线",
   "level": "l2"
  },
  "CAP_fc3f108f": {
   "en": "Ego-Motion State Estimation Pipeline",
   "zh": "运动状态估计流水线",
   "level": "l2"
  },
  "CAP_4df02ddf": {
   "en": "Sensor Distortion Modeling Pipeline",
   "zh": "传感器畸变建模流水线",
   "level": "l2"
  },
  "CAP_72a16ee5": {
   "en": "Cross-Modal Motion Compensation Pipeline",
   "zh": "跨模态运动补偿流水线",
   "level": "l2"
  },
  "CAP_73cd84dd": {
   "en": "Invariant Representation Extraction Pipeline",
   "zh": "不变表示提取流水线",
   "level": "l2"
  },
  "CAP_8b3a1976": {
   "en": "Explicit Multi-Sensor Extrinsic Calibration",
   "zh": "显式多传感器外参标定",
   "level": "l2"
  },
  "CAP_b38a11fe": {
   "en": "Multi-LiDAR Extrinsic Calibration",
   "zh": "多激光雷达外参标定",
   "level": "l3"
  },
  "CAP_436259ad": {
   "en": "Multi-Robot Base Frame Calibration",
   "zh": "多机器人基座标系标定",
   "level": "l3"
  },
  "CAP_d6dda48c": {
   "en": "Self-Supervised Descriptor Alignment",
   "zh": "自监督描述子语义对齐",
   "level": "l2"
  },
  "CAP_ea2657b9": {
   "en": "Self-Supervised Descriptor Training",
   "zh": "自监督描述子训练",
   "level": "l3"
  },
  "CAP_f95b7161": {
   "en": "Cross-Embodied VLA Alignment",
   "zh": "跨具身异构感知VLA对齐",
   "level": "l2"
  },
  "CAP_df1cce9f": {
   "en": "Multi-Robot Spatial Alignment",
   "zh": "多机器人空间对齐",
   "level": "l3"
  },
  "CAP_c3ecf619": {
   "en": "VLA Input Adaptation",
   "zh": "VLA模型输入适配",
   "level": "l3"
  },
  "CAP_9075741f": {
   "en": "Alignment Quality Assessment",
   "zh": "对齐质量评估",
   "level": "l3"
  },
  "CAP_17d4cf49": {
   "en": "Dynamic Model Precision Scaling",
   "zh": "模型精度动态缩放",
   "level": "l2"
  },
  "CAP_ed7ee5c5": {
   "en": "Health to Level Mapping",
   "zh": "健康状态到性能等级映射",
   "level": "l3"
  },
  "CAP_dfb03abc": {
   "en": "Model Asset Retrieval",
   "zh": "模型资产检索",
   "level": "l3"
  },
  "CAP_508ed816": {
   "en": "Runtime Context Snapshot",
   "zh": "运行时上下文快照",
   "level": "l3"
  },
  "CAP_b08dfcb6": {
   "en": "Switch Validation and Rollback",
   "zh": "切换验证与回滚",
   "level": "l3"
  },
  "CAP_c13bfd20": {
   "en": "Control Frequency-Energy Tradeoff",
   "zh": "控制频率-能耗协同调节",
   "level": "l2"
  },
  "CAP_84a50d9b": {
   "en": "Frequency-Power Co-Optimization",
   "zh": "频率-能耗协同优化",
   "level": "l3"
  },
  "CAP_c709ad69": {
   "en": "Stability-Guaranteed Frequency Lowering",
   "zh": "稳定约束降频",
   "level": "l3"
  },
  "CAP_21ec12a0": {
   "en": "Heterogeneous Core Migration",
   "zh": "异构核心迁移",
   "level": "l3"
  },
  "CAP_ff264b61": {
   "en": "Energy-Aware Loop Dependency Propagation",
   "zh": "能耗感知回路依赖传播",
   "level": "l3"
  },
  "CAP_54e2507a": {
   "en": "Whole-Body Motion Primitive Switching",
   "zh": "全身运动模式原语切换",
   "level": "l2"
  },
  "CAP_077cdf09": {
   "en": "Health Vector Fusion",
   "zh": "健康状态向量融合",
   "level": "l3"
  },
  "CAP_e6ddb405": {
   "en": "Performance Level Classification",
   "zh": "性能等级判定",
   "level": "l3"
  },
  "CAP_4405ef6f": {
   "en": "Primitive Distance Matrix",
   "zh": "运动原语距离矩阵",
   "level": "l3"
  },
  "CAP_440abd68": {
   "en": "Transition Trajectory Generation",
   "zh": "切换过渡轨迹生成",
   "level": "l3"
  },
  "CAP_9238a0a7": {
   "en": "Switching Safety Monitor",
   "zh": "切换安全监控",
   "level": "l3"
  },
  "CAP_90563b5b": {
   "en": "Programmable Magnetic Grasp",
   "zh": "可编程磁吸抓取",
   "level": "l2"
  },
  "CAP_bfd8299d": {
   "en": "Programmable Magnetic Switching",
   "zh": "可编程磁路切换",
   "level": "l3"
  },
  "CAP_1310ea53": {
   "en": "Magnetic Array Configuration Planning",
   "zh": "磁力阵列配置规划",
   "level": "l3"
  },
  "CAP_733f1b42": {
   "en": "Magnetic Guided Assembly",
   "zh": "磁场引导装配",
   "level": "l2"
  },
  "CAP_7727c822": {
   "en": "Magnetic Gradient Design",
   "zh": "磁场梯度设计",
   "level": "l3"
  },
  "CAP_df7abe26": {
   "en": "Magnetic Guidance Control",
   "zh": "磁场非接触引导控制",
   "level": "l3"
  },
  "CAP_71a0086f": {
   "en": "Hybrid Magnetic-Mechanical Compliance",
   "zh": "磁力-机械混合柔顺控制",
   "level": "l3"
  },
  "CAP_ff695fee": {
   "en": "Magnetic Decoupling Planner",
   "zh": "磁解耦撤离规划",
   "level": "l3"
  },
  "CAP_b5d0beab": {
   "en": "Differentiable-Physics Magnet Design",
   "zh": "可微分物理磁路设计",
   "level": "l2"
  },
  "CAP_22bb13f8": {
   "en": "Differentiable Magnetostatic Solve",
   "zh": "可微分静磁求解",
   "level": "l3"
  },
  "CAP_c6080dcc": {
   "en": "Magnetic Topology Optimization",
   "zh": "磁路拓扑优化",
   "level": "l3"
  },
  "CAP_3c2dc7fd": {
   "en": "Magnetic Design Verifier",
   "zh": "磁设计验证",
   "level": "l3"
  },
  "CAP_c3c5196f": {
   "en": "Permission Delegation",
   "zh": "权限委托",
   "level": "l2"
  },
  "CAP_9f233832": {
   "en": "Shared Control Dynamic Authorization",
   "zh": "共享控制动态授权",
   "level": "l2"
  },
  "CAP_273e6c7d": {
   "en": "Delegation Request Generation",
   "zh": "委托请求生成",
   "level": "l3"
  },
  "CAP_7e77433d": {
   "en": "Permission Scope Resolution",
   "zh": "权限范围解析",
   "level": "l3"
  },
  "CAP_bee0dede": {
   "en": "Delegation Constraint Validation",
   "zh": "委托约束校验",
   "level": "l3"
  },
  "CAP_bf202bc4": {
   "en": "Runtime Delegation Monitoring",
   "zh": "运行时委托监控",
   "level": "l3"
  },
  "CAP_99c22f7a": {
   "en": "Graceful Delegation Revocation",
   "zh": "平滑委托撤销",
   "level": "l3"
  },
  "CAP_cfb067a0": {
   "en": "Multi-Agent Capability Delegation",
   "zh": "多智能体能力委派",
   "level": "l2"
  },
  "CAP_22f0af7e": {
   "en": "Delegation Need Detection",
   "zh": "委派需求识别",
   "level": "l3"
  },
  "CAP_eaea0583": {
   "en": "Capability Negotiation",
   "zh": "能力协商",
   "level": "l3"
  },
  "CAP_f3d8a5fd": {
   "en": "Delegation Token Issuance",
   "zh": "委派令牌签发",
   "level": "l3"
  },
  "CAP_82a4f863": {
   "en": "Delegation Token Validation",
   "zh": "委派令牌验证",
   "level": "l3"
  },
  "CAP_bd4ec55a": {
   "en": "Delegation Revocation",
   "zh": "委派撤销",
   "level": "l3"
  },
  "CAP_1b00a4b5": {
   "en": "LLM Constraint Delegation",
   "zh": "大模型约束推理委托",
   "level": "l2"
  },
  "CAP_edcce64e": {
   "en": "NL-to-Constraint Parsing",
   "zh": "自然语言到约束解析",
   "level": "l3"
  },
  "CAP_f624dc6d": {
   "en": "Delegation Policy Reasoning",
   "zh": "委托策略推理",
   "level": "l3"
  },
  "CAP_11681e1f": {
   "en": "Delegation Monitoring and Revocation",
   "zh": "委托监控与撤销",
   "level": "l3"
  },
  "CAP_9a6e7290": {
   "en": "Permission Ontology Building",
   "zh": "权限本体构建",
   "level": "l3"
  },
  "CAP_60b4b1cf": {
   "en": "Action Mask Inference",
   "zh": "动作掩码推理",
   "level": "l3"
  },
  "CAP_28fd6cd9": {
   "en": "Safety Layer Wrapping",
   "zh": "安全层封装",
   "level": "l3"
  },
  "CAP_76d33d33": {
   "en": "Constrained RL Finetuning",
   "zh": "带约束的强化学习微调",
   "level": "l3"
  },
  "CAP_ebe88981": {
   "en": "Safety Policy Verification",
   "zh": "安全策略验证",
   "level": "l3"
  },
  "CAP_f53621fe": {
   "en": "VLA Semantic RAG Authorization",
   "zh": "VLA语义RAG动态授权",
   "level": "l2"
  },
  "CAP_23e71c3c": {
   "en": "Fine-Grained Policy Vectorization",
   "zh": "细粒度策略向量化",
   "level": "l3"
  },
  "CAP_90b0f032": {
   "en": "Context-Aware Constraint Retrieval",
   "zh": "上下文感知约束检索",
   "level": "l3"
  },
  "CAP_e9c48c9e": {
   "en": "Semantic Alignment Risk Assessment",
   "zh": "语义对齐风险判定",
   "level": "l3"
  },
  "CAP_35466434": {
   "en": "Runtime Action Interception",
   "zh": "运行时动作拦截",
   "level": "l3"
  },
  "CAP_b985d5f3": {
   "en": "Digital-Twin Formal Permission Verification",
   "zh": "数字孪生形式化权限验证",
   "level": "l2"
  },
  "CAP_a22c1442": {
   "en": "Permission Formal Spec Generation",
   "zh": "权限形式化规范生成",
   "level": "l3"
  },
  "CAP_4060e09d": {
   "en": "Digital Twin Permission Injection",
   "zh": "数字孪生权限注入",
   "level": "l3"
  },
  "CAP_b37d3fe2": {
   "en": "Permission Scenario Auto-Generation",
   "zh": "权限验证场景自动生成",
   "level": "l3"
  },
  "CAP_d2a60308": {
   "en": "Formal Permission Verification",
   "zh": "形式化权限验证",
   "level": "l3"
  },
  "CAP_65273e17": {
   "en": "Permission Fix Recommendation",
   "zh": "权限修正建议",
   "level": "l3"
  },
  "CAP_1ccf1e15": {
   "en": "Patrol Environment Modeling",
   "zh": "巡逻环境建模",
   "level": "l2"
  },
  "CAP_35ff2c20": {
   "en": "PoI Graph Construction",
   "zh": "兴趣点图构建",
   "level": "l3"
  },
  "CAP_31989903": {
   "en": "Periodic Patrol Route Planning",
   "zh": "周期巡逻路径规划",
   "level": "l2"
  },
  "CAP_5fa7c5f5": {
   "en": "Periodic TSP Tour Generation",
   "zh": "周期TSP回路生成",
   "level": "l3"
  },
  "CAP_d9bad578": {
   "en": "Multi-Robot Tour Segmentation",
   "zh": "多机器人回路分割",
   "level": "l3"
  },
  "CAP_aec943e7": {
   "en": "Patrol Speed and Dwell Planning",
   "zh": "巡逻周期与速度驻留规划",
   "level": "l3"
  },
  "CAP_4ea2b0bb": {
   "en": "Patrol Execution and Monitoring",
   "zh": "巡逻执行与监控",
   "level": "l2"
  },
  "CAP_d58de7e1": {
   "en": "Path Following and Dynamic Avoidance",
   "zh": "路径跟踪与动态避障",
   "level": "l3"
  },
  "CAP_aa6ba05a": {
   "en": "Patrol Anomaly Monitoring",
   "zh": "巡逻异常监控",
   "level": "l3"
  },
  "CAP_de8ccd80": {
   "en": "Ergodic Coverage Control",
   "zh": "遍历性持续覆盖控制",
   "level": "l2"
  },
  "CAP_0876b5c1": {
   "en": "Ergodic Metric Computation",
   "zh": "遍历度量计算",
   "level": "l3"
  },
  "CAP_ce15ac23": {
   "en": "Target Distribution Construction",
   "zh": "目标信息空间分布构造",
   "level": "l3"
  },
  "CAP_1fdebf45": {
   "en": "Ergodic Trajectory Optimization",
   "zh": "遍历轨迹优化",
   "level": "l3"
  },
  "CAP_05e27961": {
   "en": "Receding-Horizon Ergodic Control",
   "zh": "滚动时域遍历控制",
   "level": "l3"
  },
  "CAP_d6acc697": {
   "en": "Collision-Aware Ergodic Execution",
   "zh": "避障感知遍历执行",
   "level": "l3"
  },
  "CAP_44d8bc03": {
   "en": "Energy-Aware Persistent Coverage",
   "zh": "能量感知异构持久覆盖",
   "level": "l2"
  },
  "CAP_7acca72b": {
   "en": "Energy Model and Target Construction",
   "zh": "能量模型与目标分布构造",
   "level": "l3"
  },
  "CAP_74fe3d29": {
   "en": "Energy-Constrained Coverage Path Planning",
   "zh": "能量约束覆盖路径规划",
   "level": "l3"
  },
  "CAP_c0a6e4d2": {
   "en": "Persistent Coverage Routing with Recharge",
   "zh": "带充电调度的持久覆盖路由",
   "level": "l3"
  },
  "CAP_65f52c44": {
   "en": "Task Persistification via Energy CBF",
   "zh": "能量不变性任务持久化控制",
   "level": "l3"
  },
  "CAP_1e7ad595": {
   "en": "Heterogeneous Charging Scheduling",
   "zh": "异构充电调度与执行",
   "level": "l3"
  },
  "CAP_81cbac41": {
   "en": "Pedestrian Pose and Velocity Estimation",
   "zh": "行人位姿与速度估计",
   "level": "l3"
  },
  "CAP_e5497ab8": {
   "en": "Personal Space Field Construction",
   "zh": "个人空间场构建",
   "level": "l2"
  },
  "CAP_ba9d0edc": {
   "en": "Adaptive Proxemic Radius",
   "zh": "自适应个人空间半径",
   "level": "l3"
  },
  "CAP_ba472009": {
   "en": "人际距离代价编码",
   "zh": "人际距离代价编码",
   "level": "l3"
  },
  "CAP_bd8afacc": {
   "en": "Social Costmap Fusion",
   "zh": "社交代价图融合",
   "level": "l2"
  },
  "CAP_dd65f26f": {
   "en": "Social-Aware Local Planning",
   "zh": "社交感知局部规划",
   "level": "l2"
  },
  "CAP_f30599ee": {
   "en": "Social-Aware Local Trajectory Planning",
   "zh": "社交感知局部轨迹规划",
   "level": "l3"
  },
  "CAP_63704cd3": {
   "en": "Narrow Passage Courtesy",
   "zh": "狭窄通道礼貌通过",
   "level": "l3"
  },
  "CAP_d9be26db": {
   "en": "Human Perception for Approach",
   "zh": "接近场景人体感知",
   "level": "l2"
  },
  "CAP_7987779e": {
   "en": "Human 3D Localization",
   "zh": "人体三维定位",
   "level": "l3"
  },
  "CAP_34a1ef45": {
   "en": "Comfort-aware Space Modeling",
   "zh": "舒适度感知空间建模",
   "level": "l2"
  },
  "CAP_b3267208": {
   "en": "Personal Space Modeling",
   "zh": "个人空间建模",
   "level": "l3"
  },
  "CAP_6f73532f": {
   "en": "Comfort Estimation",
   "zh": "舒适度估计",
   "level": "l3"
  },
  "CAP_8a5047a3": {
   "en": "Approach Planning",
   "zh": "接近策略规划",
   "level": "l2"
  },
  "CAP_cf3065c5": {
   "en": "Approach Planner",
   "zh": "接近路径规划器",
   "level": "l3"
  },
  "CAP_cc6cbb89": {
   "en": "Reactive Approach Adaptation",
   "zh": "接近反应自适应",
   "level": "l2"
  },
  "CAP_76c4d612": {
   "en": "Human Reaction Detection",
   "zh": "人体反应检测",
   "level": "l3"
  },
  "CAP_a7e97915": {
   "en": "VLM Social Perception",
   "zh": "视觉语言社交感知",
   "level": "l2"
  },
  "CAP_799c4de9": {
   "en": "VLM Social Scene Understanding",
   "zh": "视觉语言社交场景理解",
   "level": "l3"
  },
  "CAP_922ca9a5": {
   "en": "Personal Space Reasoning",
   "zh": "个人空间需求推理",
   "level": "l2"
  },
  "CAP_dafdfec5": {
   "en": "LLM Personal Space Reasoning",
   "zh": "大模型个人空间推理",
   "level": "l3"
  },
  "CAP_5d29f79f": {
   "en": "Cross-Cultural Personal Space Adaptation",
   "zh": "跨文化个人空间自适应",
   "level": "l3"
  },
  "CAP_e6bff88f": {
   "en": "Social Behavior Generation",
   "zh": "社交行为生成",
   "level": "l2"
  },
  "CAP_557a540e": {
   "en": "LLM Social Behavior Generation",
   "zh": "大模型社交行为生成",
   "level": "l3"
  },
  "CAP_d01c2049": {
   "en": "Feedback Adaptation",
   "zh": "反馈自适应",
   "level": "l2"
  },
  "CAP_8a65342d": {
   "en": "VLM Feedback Adaptation",
   "zh": "视觉语言反馈自适应",
   "level": "l3"
  },
  "CAP_cd4a12c4": {
   "en": "Personal Space Repulsive Force Modeling",
   "zh": "个人空间排斥力建模",
   "level": "l3"
  },
  "CAP_e238ec86": {
   "en": "IRL-based Social Reward Learning",
   "zh": "基于逆强化学习的社交奖励学习",
   "level": "l3"
  },
  "CAP_fc9d31e8": {
   "en": "MPC-based Socially-aware Planning",
   "zh": "基于模型预测控制的社交感知规划",
   "level": "l3"
  },
  "CAP_5861b8dd": {
   "en": "Online Personal Space Adaptation",
   "zh": "在线个人空间自适应",
   "level": "l3"
  },
  "CAP_1d0f43f2": {
   "en": "Personal Space Sensing",
   "zh": "个人空间感知",
   "level": "l2"
  },
  "CAP_4e94fb29": {
   "en": "Social Force Reward Modeling",
   "zh": "社会力与奖励建模",
   "level": "l2"
  },
  "CAP_ae102834": {
   "en": "Social-aware Planning and Control",
   "zh": "社交感知规划与控制",
   "level": "l2"
  },
  "CAP_fa5f2d72": {
   "en": "Scene Graph Construction From RGB-D",
   "zh": "基于 RGB-D 的场景图构建",
   "level": "l3"
  },
  "CAP_3331b16a": {
   "en": "Spatio-temporal Trajectory Prediction",
   "zh": "时空轨迹预测",
   "level": "l3"
  },
  "CAP_cbe67afd": {
   "en": "Personal Space Risk Assessment",
   "zh": "个人空间风险评估",
   "level": "l3"
  },
  "CAP_5923443c": {
   "en": "Adaptive Personal Space Constraint Generation",
   "zh": "自适应个人空间约束生成",
   "level": "l3"
  },
  "CAP_656007c2": {
   "en": "Dynamic Scene Graph Updating",
   "zh": "动态场景图更新",
   "level": "l3"
  },
  "CAP_a710a491": {
   "en": "Scene Graph Perception",
   "zh": "场景图感知",
   "level": "l2"
  },
  "CAP_0d09dedb": {
   "en": "Spatio-temporal Risk Reasoning",
   "zh": "时空风险推理",
   "level": "l2"
  },
  "CAP_795d1941": {
   "en": "Adaptive Constraint Update",
   "zh": "自适应约束更新",
   "level": "l2"
  },
  "CAP_136aca7e": {
   "en": "Nonverbal Intention Inference",
   "zh": "非言语意图推断",
   "level": "l3"
  },
  "CAP_7019383e": {
   "en": "Game-theoretic Passage Planner",
   "zh": "博弈论通行规划器",
   "level": "l3"
  },
  "CAP_fe96f98b": {
   "en": "Social Signal Expressive Controller",
   "zh": "社交信号表达控制器",
   "level": "l3"
  },
  "CAP_ba27569f": {
   "en": "Interaction Monitor and Replanner",
   "zh": "交互监控与重规划器",
   "level": "l3"
  },
  "CAP_bee4dd0c": {
   "en": "Nonverbal Interaction Perception",
   "zh": "非言语交互感知",
   "level": "l2"
  },
  "CAP_bfa0a982": {
   "en": "Game-theoretic Passage Decision",
   "zh": "博弈论通行决策",
   "level": "l2"
  },
  "CAP_94854d32": {
   "en": "Social Signal Execution",
   "zh": "社交信号执行",
   "level": "l2"
  },
  "CAP_433292d3": {
   "en": "Proxemic Gaussian Costmap Navigation",
   "zh": "近体高斯代价地图导航",
   "level": "l2"
  },
  "CAP_cbc22dce": {
   "en": "Temporal Activity Segmentation Modeling Pipeline",
   "zh": "时序活动分割建模管线",
   "level": "l3"
  },
  "CAP_50190058": {
   "en": "Diffusion Trajectory Synthesis Pipeline",
   "zh": "扩散轨迹合成管线",
   "level": "l2"
  },
  "CAP_ffe9de04": {
   "en": "3D LiDAR Person Detection",
   "zh": "三维激光雷达人员检测",
   "level": "l3"
  },
  "CAP_d9678159": {
   "en": "2D Kalman Tracking",
   "zh": "二维卡尔曼滤波跟踪",
   "level": "l3"
  },
  "CAP_e4a499bf": {
   "en": "Detection-Based Perception",
   "zh": "检测-跟踪分离式感知",
   "level": "l2"
  },
  "CAP_48dcf346": {
   "en": "Detection-Based Association and Tracking",
   "zh": "检测-跟踪分离式关联与跟踪",
   "level": "l2"
  },
  "CAP_8c75a9a0": {
   "en": "JDE Multi-Scale Feature Fusion",
   "zh": "JDE多尺度特征融合",
   "level": "l3"
  },
  "CAP_759a483e": {
   "en": "JDE Anchor-Free Detection Head",
   "zh": "JDE无锚点检测头",
   "level": "l3"
  },
  "CAP_b5103df1": {
   "en": "JDE Single-Stage Inference",
   "zh": "JDE单阶段联合推理",
   "level": "l3"
  },
  "CAP_513305d3": {
   "en": "JDE Embedding L2 Normalization",
   "zh": "JDE嵌入L2归一化",
   "level": "l3"
  },
  "CAP_d4c66308": {
   "en": "JDE TensorRT Deployment",
   "zh": "JDE TensorRT部署",
   "level": "l3"
  },
  "CAP_354e16fe": {
   "en": "JDE Unified Encoding",
   "zh": "JDE联合编码与双头推理",
   "level": "l2"
  },
  "CAP_488e5414": {
   "en": "JDE Postprocess and Deployment",
   "zh": "JDE后处理与部署",
   "level": "l2"
  },
  "CAP_e5792d23": {
   "en": "End-to-End Person Detection",
   "zh": "端到端人员检测",
   "level": "l3"
  },
  "CAP_a843a72c": {
   "en": "Transformer-Based Identity Association",
   "zh": "基于Transformer的身份关联",
   "level": "l3"
  },
  "CAP_bf4a0f98": {
   "en": "Joint Detection-Tracking Training",
   "zh": "联合检测-跟踪训练",
   "level": "l3"
  },
  "CAP_df445ea2": {
   "en": "Multimodal Fusion Tracking",
   "zh": "多模态融合跟踪",
   "level": "l3"
  },
  "CAP_22abf6aa": {
   "en": "Real-Time Edge Deployment",
   "zh": "实时边缘部署",
   "level": "l3"
  },
  "CAP_6c64db70": {
   "en": "Transformer Perception",
   "zh": "Transformer感知编码",
   "level": "l2"
  },
  "CAP_67966e18": {
   "en": "Transformer Unified Tracking",
   "zh": "Transformer统一跟踪",
   "level": "l2"
  },
  "CAP_1db05c37": {
   "en": "Person Sensing Pipeline",
   "zh": "人员感知流水线",
   "level": "l2"
  },
  "CAP_01f3017c": {
   "en": "Multi-Person Tracking Pipeline",
   "zh": "多人跟踪流水线",
   "level": "l2"
  },
  "CAP_4a6b1932": {
   "en": "Entry/Exit Event Arbitration",
   "zh": "进出事件裁决",
   "level": "l2"
  },
  "CAP_96fdcabe": {
   "en": "Safety Signal Output Stage",
   "zh": "安全信号输出（阶段）",
   "level": "l2"
  },
  "CAP_a6345123": {
   "en": "Person Detection (2D)",
   "zh": "人员检测（2D）",
   "level": "l3"
  },
  "CAP_63532f0e": {
   "en": "Person Detection (3D)",
   "zh": "人员检测（3D）",
   "level": "l3"
  },
  "CAP_72aeafe6": {
   "en": "Multi-Person Tracking (SDE)",
   "zh": "多人跟踪（分离检测与嵌入）",
   "level": "l3"
  },
  "CAP_63204257": {
   "en": "Zone Entry/Exit Arbitration",
   "zh": "区域进出裁决",
   "level": "l3"
  },
  "CAP_3525a774": {
   "en": "Safety Signal Output",
   "zh": "安全信号输出",
   "level": "l3"
  },
  "CAP_e491e2b9": {
   "en": "Dynamic Safety Zone Management",
   "zh": "动态安全区域管理",
   "level": "l2"
  },
  "CAP_4e8ba00b": {
   "en": "Multi-modal Person Perception",
   "zh": "多模态人员感知",
   "level": "l2"
  },
  "CAP_1898ca8d": {
   "en": "Boundary Crossing Event Detection",
   "zh": "边界穿越事件检测",
   "level": "l2"
  },
  "CAP_c02347d5": {
   "en": "Multi-Modal Person Detection in ROI",
   "zh": "ROI 内多模态人员检测",
   "level": "l3"
  },
  "CAP_b34771a5": {
   "en": "Boundary Crossing Event State Machine",
   "zh": "边界穿越事件状态机",
   "level": "l3"
  },
  "CAP_5e4fb188": {
   "en": "Safety Mode Switch Executor",
   "zh": "安全模式切换执行器",
   "level": "l3"
  },
  "CAP_73ec3898": {
   "en": "Visual Perspective Taking",
   "zh": "视觉透视采择",
   "level": "l2"
  },
  "CAP_44795362": {
   "en": "Ego-to-Allo Coordinate Transform",
   "zh": "自我到他人坐标系变换",
   "level": "l3"
  },
  "CAP_f62c7ff6": {
   "en": "Visual Perspective Rendering",
   "zh": "视觉视角渲染",
   "level": "l3"
  },
  "CAP_d62ae888": {
   "en": "Line-of-Sight and Occlusion Analysis",
   "zh": "视线与遮挡分析",
   "level": "l3"
  },
  "CAP_d6e882b7": {
   "en": "Spatial Reference Resolution",
   "zh": "空间指代解析",
   "level": "l3"
  },
  "CAP_77c80756": {
   "en": "Target Observer Localization",
   "zh": "目标观察者定位",
   "level": "l3"
  },
  "CAP_a6230901": {
   "en": "Information Difference Analysis",
   "zh": "信息差异分析",
   "level": "l3"
  },
  "CAP_b943437f": {
   "en": "Perspective Taking Core",
   "zh": "视角采择核心",
   "level": "l2"
  },
  "CAP_424e045a": {
   "en": "Visual Perspective Transform",
   "zh": "视觉视角变换",
   "level": "l3"
  },
  "CAP_e865b1bd": {
   "en": "Intent Prediction from Belief",
   "zh": "基于信念的意图预测",
   "level": "l3"
  },
  "CAP_1cccbb10": {
   "en": "Information Asymmetry Resolution",
   "zh": "信息不对称消解",
   "level": "l3"
  },
  "CAP_6218ed6d": {
   "en": "Embodied Social Perspective Taking",
   "zh": "具身社会采择",
   "level": "l2"
  },
  "CAP_f3948723": {
   "en": "Visuospatial Perspective Computation",
   "zh": "视觉空间视角计算",
   "level": "l3"
  },
  "CAP_a5a85f37": {
   "en": "Occlusion-Aware Object Referencing",
   "zh": "遮挡感知物体指代",
   "level": "l3"
  },
  "CAP_0871c7e8": {
   "en": "Perspective-Driven Communicative Action",
   "zh": "视角驱动沟通行为",
   "level": "l3"
  },
  "CAP_1bf11ba0": {
   "en": "Two-Stage Modular Phrase Grounding",
   "zh": "两阶段模块化短语定位",
   "level": "l2"
  },
  "CAP_acee77a0": {
   "en": "Cross-Modal Bilinear Fusion",
   "zh": "跨模态双线性融合",
   "level": "l3"
  },
  "CAP_82592200": {
   "en": "Matching Score Ranking",
   "zh": "匹配打分与排序",
   "level": "l3"
  },
  "CAP_0988141b": {
   "en": "Modular Pipeline Orchestration",
   "zh": "模块化流水线编排",
   "level": "l3"
  },
  "CAP_957c4f63": {
   "en": "One-Stage Dense Fusion Phrase Grounding",
   "zh": "单阶段密集融合短语定位",
   "level": "l2"
  },
  "CAP_19b18295": {
   "en": "Joint Visual-Language Encoding",
   "zh": "联合视觉-语言编码",
   "level": "l3"
  },
  "CAP_521ad07c": {
   "en": "Dense Cross-Modal Fusion",
   "zh": "密集跨模态融合",
   "level": "l3"
  },
  "CAP_e44223e4": {
   "en": "Phrase-Region Contrastive Alignment",
   "zh": "短语-区域对比对齐",
   "level": "l3"
  },
  "CAP_a12f09af": {
   "en": "Language-Conditioned Box Prediction",
   "zh": "语言条件化框预测",
   "level": "l3"
  },
  "CAP_6c63410a": {
   "en": "Grounding Post-processing",
   "zh": "定位后处理",
   "level": "l3"
  },
  "CAP_56a0a023": {
   "en": "3D Embodied Reasoning Phrase Grounding",
   "zh": "3D具身推理短语定位",
   "level": "l2"
  },
  "CAP_753467ad": {
   "en": "Depth-Aware Geometry Reconstruction",
   "zh": "深度感知几何重建",
   "level": "l3"
  },
  "CAP_bac9c002": {
   "en": "Cross-Modal 2D-3D Feature Alignment",
   "zh": "跨模态2D-3D特征对齐",
   "level": "l3"
  },
  "CAP_b730e941": {
   "en": "Embodied Executability Verification",
   "zh": "具身可执行性验证",
   "level": "l3"
  },
  "CAP_0563a742": {
   "en": "Access Identity Verification",
   "zh": "门禁身份融合验证",
   "level": "l2"
  },
  "CAP_b7145cdf": {
   "en": "Wireless Credential Reader",
   "zh": "无线凭证读取",
   "level": "l3"
  },
  "CAP_58d69234": {
   "en": "Multimodal Biometric Fusion",
   "zh": "多模态生物特征融合",
   "level": "l3"
  },
  "CAP_7114f675": {
   "en": "Tailgating Behavior Detection",
   "zh": "尾随行为检测",
   "level": "l2"
  },
  "CAP_d4d326e5": {
   "en": "Tailgating Detection Engine",
   "zh": "尾随检测引擎",
   "level": "l3"
  },
  "CAP_2da9c62e": {
   "en": "Access Decision Execution",
   "zh": "门禁决策与执行",
   "level": "l2"
  },
  "CAP_9155e759": {
   "en": "Access Decision Fusion",
   "zh": "门禁决策融合",
   "level": "l3"
  },
  "CAP_f24e8507": {
   "en": "Audit Trail Logger",
   "zh": "审计日志存证",
   "level": "l3"
  },
  "CAP_bc9a3305": {
   "en": "Social Context Aware Gating",
   "zh": "社会情境感知门禁决策",
   "level": "l2"
  },
  "CAP_edaa67fc": {
   "en": "Social Signal Perception",
   "zh": "社会信号感知",
   "level": "l3"
  },
  "CAP_3e7d9f3e": {
   "en": "Social Context Feature Extraction",
   "zh": "社会情境特征提取",
   "level": "l3"
  },
  "CAP_f5727ce5": {
   "en": "Intent and Role Inference",
   "zh": "意图与角色推理",
   "level": "l3"
  },
  "CAP_ab46f485": {
   "en": "Context Aware Risk Assessment",
   "zh": "上下文感知风险评估",
   "level": "l3"
  },
  "CAP_e06d0d1c": {
   "en": "Explainable Gate Decision",
   "zh": "可解释门禁决策",
   "level": "l3"
  },
  "CAP_80fc484a": {
   "en": "Mobile Manipulation Physical Barrier",
   "zh": "移动操作型物理阻拦",
   "level": "l2"
  },
  "CAP_5f499391": {
   "en": "Barrier Policy Secure Verification",
   "zh": "阻拦策略安全验证",
   "level": "l3"
  },
  "CAP_a999759b": {
   "en": "Multi-target Tracking and Intent Prediction",
   "zh": "多目标跟踪与意图预测",
   "level": "l3"
  },
  "CAP_68b1e18d": {
   "en": "Mobile Manipulator Coordinated Control",
   "zh": "移动操作协同控制",
   "level": "l3"
  },
  "CAP_5c59475d": {
   "en": "Force-limited Contact Monitoring",
   "zh": "限力接触监控",
   "level": "l3"
  },
  "CAP_8ca8f017": {
   "en": "Human Arm Impedance Identification",
   "zh": "人体手臂阻抗辨识",
   "level": "l3"
  },
  "CAP_b3542b3e": {
   "en": "Collaborative Transport Motion Planning",
   "zh": "协作搬运运动规划",
   "level": "l3"
  },
  "CAP_582c81ab": {
   "en": "Collaborative Intent-to-Control Mapping",
   "zh": "协作意图到控制映射",
   "level": "l3"
  },
  "CAP_5b8508f6": {
   "en": "Geometric Impossibility Check",
   "zh": "几何不可能性检测",
   "level": "l2"
  },
  "CAP_5149827d": {
   "en": "Kinematic Constraint Check",
   "zh": "运动学约束检测",
   "level": "l2"
  },
  "CAP_0a74bd18": {
   "en": "Dynamic Impossibility Check",
   "zh": "动力学不可能性检测",
   "level": "l2"
  },
  "CAP_9782715c": {
   "en": "Penetration Detection",
   "zh": "穿透检测",
   "level": "l3"
  },
  "CAP_a034e96a": {
   "en": "Velocity Continuity Check",
   "zh": "速度连续性检测",
   "level": "l3"
  },
  "CAP_38074945": {
   "en": "Momentum Conservation Verification",
   "zh": "动量守恒校验",
   "level": "l3"
  },
  "CAP_c08d5e3e": {
   "en": "Energy Conservation Verification",
   "zh": "能量守恒校验",
   "level": "l3"
  },
  "CAP_e2aa9aa9": {
   "en": "Simulation-based Rollout Verification",
   "zh": "基于仿真前推的鲁棒性验证",
   "level": "l2"
  },
  "CAP_e19c72eb": {
   "en": "Action Sequence Injection",
   "zh": "动作序列注入",
   "level": "l3"
  },
  "CAP_e1ba670d": {
   "en": "Toppling Detection",
   "zh": "倾倒检测",
   "level": "l3"
  },
  "CAP_edaf48d2": {
   "en": "Video Future Frame Prediction",
   "zh": "视频未来帧预测",
   "level": "l3"
  },
  "CAP_b09f774d": {
   "en": "Physics-aware Video Encoding",
   "zh": "物理感知视频编码",
   "level": "l3"
  },
  "CAP_fcbfaebb": {
   "en": "Multi-scale Physics Discrepancy",
   "zh": "多尺度物理差异计算",
   "level": "l3"
  },
  "CAP_2a698ab8": {
   "en": "Video World Model Physics Reasoning",
   "zh": "视频世界模型物理推演",
   "level": "l2"
  },
  "CAP_1afebb29": {
   "en": "Action Conditioning Injection",
   "zh": "动作条件注入",
   "level": "l3"
  },
  "CAP_d915f147": {
   "en": "Video-based Collision Prediction",
   "zh": "视频碰撞预测",
   "level": "l3"
  },
  "CAP_02aa281f": {
   "en": "Video-based Stacking Stability Prediction",
   "zh": "视频堆叠稳定性预测",
   "level": "l3"
  },
  "CAP_03a4d114": {
   "en": "Video-based Liquid Spill Prediction",
   "zh": "视频液体洒出预测",
   "level": "l3"
  },
  "CAP_2fc30986": {
   "en": "Video-based Articulated Object Interaction Prediction",
   "zh": "视频铰接物体交互预测",
   "level": "l3"
  },
  "CAP_475f3c81": {
   "en": "Video-based Multi-object Physics Scene Generation",
   "zh": "视频多物体物理场景生成",
   "level": "l3"
  },
  "CAP_022c65a4": {
   "en": "Particle-based Deformable Dynamics Prediction",
   "zh": "粒子动力学与可变形体操作预测",
   "level": "l2"
  },
  "CAP_0574f413": {
   "en": "Particle Discretization",
   "zh": "粒子离散化与参数化",
   "level": "l3"
  },
  "CAP_4ca7fc27": {
   "en": "Particle Solver Selection",
   "zh": "粒子求解器选择",
   "level": "l3"
  },
  "CAP_9c73a972": {
   "en": "Particle-to-Mesh Mapping",
   "zh": "粒子到宏观量映射",
   "level": "l3"
  },
  "CAP_3327f05f": {
   "en": "Operation Feasibility Evaluation",
   "zh": "操作可行性评估",
   "level": "l3"
  },
  "CAP_84864068": {
   "en": "Fluid Pouring Prediction",
   "zh": "流体倾倒预测",
   "level": "l3"
  },
  "CAP_6ce7cd14": {
   "en": "Granular Pile Stability Prediction",
   "zh": "颗粒堆积稳定性预测",
   "level": "l3"
  },
  "CAP_3cdc074d": {
   "en": "Soft Body Deformation Prediction",
   "zh": "软体变形预测",
   "level": "l3"
  },
  "CAP_73a2f052": {
   "en": "Viscoelastic Flow Prediction",
   "zh": "粘弹性流动预测",
   "level": "l3"
  },
  "CAP_705ea313": {
   "en": "Multi-phase Interaction Prediction",
   "zh": "多相耦合交互预测",
   "level": "l3"
  },
  "CAP_50d70941": {
   "en": "Tactile-Force Joint Prediction and Servoing",
   "zh": "触觉-力学联合预测与伺服控制",
   "level": "l2"
  },
  "CAP_15bfa492": {
   "en": "Tactile-Force Sync Acquisition",
   "zh": "触觉-力学信号同步采集",
   "level": "l3"
  },
  "CAP_708906ad": {
   "en": "Tactile Contact State Estimation",
   "zh": "触觉接触状态估计",
   "level": "l3"
  },
  "CAP_340a70c7": {
   "en": "Slip Prediction Early Warning",
   "zh": "滑移早期预警预测",
   "level": "l3"
  },
  "CAP_714662a8": {
   "en": "Adaptive Force Control Online",
   "zh": "在线自适应力控制",
   "level": "l3"
  },
  "CAP_64055dcd": {
   "en": "Generative World Model Physical Commonsense Filtering",
   "zh": "生成式世界模型物理常识过滤",
   "level": "l2"
  },
  "CAP_756185b1": {
   "en": "Generative World Model Rollout",
   "zh": "生成式世界模型前向推演",
   "level": "l3"
  },
  "CAP_522ab2d6": {
   "en": "Physics Plausibility Scoring",
   "zh": "物理合理性评分",
   "level": "l3"
  },
  "CAP_4102bb50": {
   "en": "OOD Physics Detection",
   "zh": "分布外物理检测",
   "level": "l3"
  },
  "CAP_ccb3adfa": {
   "en": "Contact-Implicit Differential Physics Trajectory Optimization",
   "zh": "接触隐式微分物理轨迹优化",
   "level": "l2"
  },
  "CAP_51cde34b": {
   "en": "Differentiable Contact Dynamics",
   "zh": "可微接触动力学",
   "level": "l3"
  },
  "CAP_c23b99d0": {
   "en": "Trajectory Direct Transcription",
   "zh": "轨迹直接转录",
   "level": "l3"
  },
  "CAP_c9776dae": {
   "en": "Large Scale NLP Solver",
   "zh": "大规模非线性规划求解",
   "level": "l3"
  },
  "CAP_9662758f": {
   "en": "Physical Plausibility Validator",
   "zh": "物理合理性验证器",
   "level": "l3"
  },
  "CAP_be9f8b87": {
   "en": "Physical Plausibility Reasoning",
   "zh": "物理合理性推理与纠错",
   "level": "l2"
  },
  "CAP_7df66630": {
   "en": "Scene Physical Property Estimation",
   "zh": "场景物理属性估计",
   "level": "l3"
  },
  "CAP_658cc50c": {
   "en": "Kinematic Reachability Check",
   "zh": "运动学可达性检查",
   "level": "l3"
  },
  "CAP_c7bc2563": {
   "en": "Grasp Physical Feasibility Scoring",
   "zh": "抓取物理可行性评分",
   "level": "l3"
  },
  "CAP_b87e43e0": {
   "en": "Collision Aware Trajectory Validation",
   "zh": "碰撞感知轨迹验证",
   "level": "l3"
  },
  "CAP_ea5bd68a": {
   "en": "Physical Violation Explanation Generation",
   "zh": "物理违规解释生成",
   "level": "l3"
  },
  "CAP_f6dbd239": {
   "en": "Physical Constraint Injection",
   "zh": "物理约束注入",
   "level": "l3"
  },
  "CAP_7bb080b6": {
   "en": "Dynamic Safety-Critical Control",
   "zh": "动态安全临界控制",
   "level": "l2"
  },
  "CAP_497a1c55": {
   "en": "Safety-Critical State Estimation",
   "zh": "安全临界状态估计",
   "level": "l3"
  },
  "CAP_71cdbf40": {
   "en": "Safe Execution Monitoring",
   "zh": "安全执行监控",
   "level": "l3"
  },
  "CAP_3f37880f": {
   "en": "Predictive SSM Core",
   "zh": "预测式SSM核心",
   "level": "l3"
  },
  "CAP_ab5c1588": {
   "en": "Safety Sensor Fusion",
   "zh": "安全传感器融合",
   "level": "l3"
  },
  "CAP_a81e5173": {
   "en": "Safety Communication Interface",
   "zh": "安全通信接口",
   "level": "l3"
  },
  "CAP_e337d7cc": {
   "en": "PSD Parameter Manager",
   "zh": "PSD参数管理",
   "level": "l3"
  },
  "CAP_593f3a39": {
   "en": "LLM Task-Safety Reasoning",
   "zh": "大模型任务-安全联合推理",
   "level": "l2"
  },
  "CAP_83559007": {
   "en": "Task Safety Compliance Reasoning",
   "zh": "任务安全合规推理",
   "level": "l3"
  },
  "CAP_29ded72f": {
   "en": "Safety Standard Knowledge Retrieval",
   "zh": "安全标准知识检索",
   "level": "l3"
  },
  "CAP_61c529d1": {
   "en": "Physical Config State Integration",
   "zh": "物理配置状态集成",
   "level": "l3"
  },
  "CAP_11507490": {
   "en": "Explainable Safety Trace Generation",
   "zh": "可解释安全追溯生成",
   "level": "l3"
  },
  "CAP_87b5614d": {
   "en": "Cross-Engine Simulation State Extraction",
   "zh": "跨引擎仿真状态提取",
   "level": "l3"
  },
  "CAP_4c5a9faa": {
   "en": "Speed-Accuracy Pareto Analysis",
   "zh": "速度-精度帕累托分析",
   "level": "l3"
  },
  "CAP_190230fe": {
   "en": "Differentiable Simulation System Identification",
   "zh": "可微仿真辨识",
   "level": "l2"
  },
  "CAP_715c690d": {
   "en": "Simulation Physics Parameter System Identification",
   "zh": "仿真物理参数系统辨识",
   "level": "l3"
  },
  "CAP_8dc346bf": {
   "en": "Differentiable Simulation Model Setup",
   "zh": "可微仿真模型初始化",
   "level": "l3"
  },
  "CAP_0ab5a628": {
   "en": "Contact-Aware Smooth Gradient Handling",
   "zh": "接触感知光滑梯度处理",
   "level": "l3"
  },
  "CAP_67cb8cda": {
   "en": "Base Inertial Parameter Extraction",
   "zh": "基础惯性参数提取",
   "level": "l3"
  },
  "CAP_fc7c6741": {
   "en": "Simulation Parameter Injection",
   "zh": "仿真参数标定注入",
   "level": "l3"
  },
  "CAP_626d178f": {
   "en": "Differentiable Simulator Setup and Configuration",
   "zh": "可微仿真器初始化与配置",
   "level": "l3"
  },
  "CAP_454f1359": {
   "en": "Physics Parameter Reparameterization for Differentiable Optimization",
   "zh": "物理参数可微重参数化",
   "level": "l3"
  },
  "CAP_0dc7b4d5": {
   "en": "Real Interaction Trajectory Collection",
   "zh": "真实交互轨迹与观测采集",
   "level": "l3"
  },
  "CAP_b056eb95": {
   "en": "State Reconstruction and Sim-Real Alignment",
   "zh": "状态重建与仿真实对齐",
   "level": "l3"
  },
  "CAP_366790b4": {
   "en": "Trajectory Matching Loss Computation",
   "zh": "轨迹/观测匹配损失计算",
   "level": "l3"
  },
  "CAP_17a86368": {
   "en": "Physics Gradient Backpropagation Through Simulation",
   "zh": "物理仿真梯度反向传播",
   "level": "l3"
  },
  "CAP_90e1df34": {
   "en": "Gradient-Based Parameter Update with Physical Constraints",
   "zh": "带物理约束的梯度下降参数更新",
   "level": "l3"
  },
  "CAP_872d16c1": {
   "en": "Two-Stage System Identification Strategy",
   "zh": "两阶段系统辨识策略",
   "level": "l3"
  },
  "CAP_a209a88c": {
   "en": "Sim-Real Validation Metrics Computation",
   "zh": "仿真实验证指标计算",
   "level": "l3"
  },
  "CAP_67f4769f": {
   "en": "Bayesian Black-Box Optimization for Simulation Calibration",
   "zh": "贝叶斯/黑盒优化仿真标定",
   "level": "l2"
  },
  "CAP_66da274d": {
   "en": "Black-Box Objective Function Definition for Simulation Calibration",
   "zh": "仿真标定黑盒目标函数定义",
   "level": "l3"
  },
  "CAP_dd95012b": {
   "en": "Bayesian Optimization Acquisition Function Optimization",
   "zh": "贝叶斯优化采集函数优化",
   "level": "l3"
  },
  "CAP_227f94ee": {
   "en": "Gaussian Process Surrogate Model for Black-Box Optimization",
   "zh": "高斯过程代理模型构建与更新",
   "level": "l3"
  },
  "CAP_7d8ca5c3": {
   "en": "CMA-ES Evolution Strategy Optimization",
   "zh": "CMA-ES协方差矩阵自适应进化策略",
   "level": "l3"
  },
  "CAP_19c29aa1": {
   "en": "Progressive Bayesian Optimization with Knowledge Transfer",
   "zh": "渐进式贝叶斯优化知识迁移",
   "level": "l3"
  },
  "CAP_bacb4bd1": {
   "en": "Hybrid Metaheuristic and Ceres Nonlinear Least Squares Optimization",
   "zh": "元启发式+Ceres非线性最小二乘混合优化",
   "level": "l3"
  },
  "CAP_3a54e343": {
   "en": "Bayesian Optimization Uncertainty Quantification",
   "zh": "贝叶斯优化不确定性量化",
   "level": "l3"
  },
  "CAP_0c0d96a2": {
   "en": "Learned Physical Decoder",
   "zh": "学习型物理解码器",
   "level": "l2"
  },
  "CAP_388a0f83": {
   "en": "Simulation Multimodal Data Generation for Physics Decoder Training",
   "zh": "物理解码器训练仿真多模态数据生成",
   "level": "l3"
  },
  "CAP_0d9b48a7": {
   "en": "Multimodal Fusion Network Architecture for Physical Decoding",
   "zh": "物理解码多模态融合网络架构",
   "level": "l3"
  },
  "CAP_5b44764f": {
   "en": "Self-Supervised Real Domain Adaptation for Physics Decoder",
   "zh": "物理解码器自监督真实域适应",
   "level": "l3"
  },
  "CAP_f9517a4c": {
   "en": "Vision-Language Model Physics Prior Inference",
   "zh": "视觉语言模型物理先验推断",
   "level": "l3"
  },
  "CAP_8700e3d3": {
   "en": "Inverse-Variance Weighted Multi-Source Fusion for Physics Parameters",
   "zh": "物理参数逆方差加权多源融合",
   "level": "l3"
  },
  "CAP_7bbf33c3": {
   "en": "RMA-Style Online Adaptation for Physical Parameter Estimation",
   "zh": "RMA风格在线自适应物理参数估计",
   "level": "l3"
  },
  "CAP_1b9ebec1": {
   "en": "Bayesian Physics Gaussian Splatting for Dense Physical Property Estimation",
   "zh": "贝叶斯物理高斯泼溅密集物理属性估计",
   "level": "l3"
  },
  "CAP_82f84de6": {
   "en": "Memory-Augmented RL Training under Dynamics Randomization",
   "zh": "动力学随机化下记忆增强RL训练",
   "level": "l3"
  },
  "CAP_5a23b008": {
   "en": "Zero-Shot Physics-DR Policy Deployment",
   "zh": "物理域随机化策略零样本部署",
   "level": "l3"
  },
  "CAP_5ab802a3": {
   "en": "GPU Parallel Assembly Simulation",
   "zh": "GPU并行装配仿真环境构建",
   "level": "l3"
  },
  "CAP_f417b4ab": {
   "en": "Sampling-Based Curriculum Learning (SBC)",
   "zh": "采样式课程学习（SBC）",
   "level": "l3"
  },
  "CAP_25e96e98": {
   "en": "Continuum Physics Parameter Space Definition",
   "zh": "连续介质物理参数空间定义",
   "level": "l3"
  },
  "CAP_41b23729": {
   "en": "Deformable Body State Representation",
   "zh": "可变形体状态表征",
   "level": "l3"
  },
  "CAP_84aa1c7c": {
   "en": "Residual Physics Model Learning",
   "zh": "残差物理模型学习",
   "level": "l3"
  },
  "CAP_97a79e64": {
   "en": "Deformation Error Evaluation",
   "zh": "软体形变误差评估",
   "level": "l3"
  },
  "CAP_92f68de0": {
   "en": "Rigid-Body DR Environment Setup",
   "zh": "刚体DR仿真环境搭建",
   "level": "l3"
  },
  "CAP_d5b7a570": {
   "en": "Episode Seed Management",
   "zh": "Episode随机种子管理",
   "level": "l3"
  },
  "CAP_71040235": {
   "en": "Push Recovery State Estimation",
   "zh": "抗推稳姿-状态估计伞形",
   "level": "l2"
  },
  "CAP_26667ea7": {
   "en": "State Estimation with Disturbance Observer",
   "zh": "带扰动观测的状态估计",
   "level": "l3"
  },
  "CAP_c5cd8df9": {
   "en": "Push Recovery Predict Optimize",
   "zh": "抗推稳姿-预测优化伞形",
   "level": "l2"
  },
  "CAP_b6ff8aea": {
   "en": "MPC Push Recovery Planning",
   "zh": "MPC抗推恢复规划",
   "level": "l3"
  },
  "CAP_85009db5": {
   "en": "WBC Contact Constraint Resolution",
   "zh": "WBC接触约束求解",
   "level": "l3"
  },
  "CAP_6f53d4fc": {
   "en": "Ankle Hip Stepping Strategy Synthesis",
   "zh": "踝-髋-迈步策略合成",
   "level": "l3"
  },
  "CAP_d0638c3e": {
   "en": "Push Recovery Exec Verify",
   "zh": "抗推稳姿-执行验证伞形",
   "level": "l2"
  },
  "CAP_42db5239": {
   "en": "Physics Simulation Stability Guard",
   "zh": "物理仿真稳定性监护",
   "level": "l3"
  },
  "CAP_567b0368": {
   "en": "DRL Sim Env Build",
   "zh": "盲走抗扰-仿真环境伞形",
   "level": "l2"
  },
  "CAP_865f744d": {
   "en": "Domain Randomization Stability",
   "zh": "领域随机化稳定性",
   "level": "l3"
  },
  "CAP_3b56e3c4": {
   "en": "Terrain Contact Robustness",
   "zh": "地形接触鲁棒性",
   "level": "l3"
  },
  "CAP_0fa23d47": {
   "en": "DRL Parallel Train",
   "zh": "盲走抗扰-并行训练伞形",
   "level": "l2"
  },
  "CAP_13ef9b4b": {
   "en": "Contact Stability Under Perturbation",
   "zh": "扰动下接触稳定性",
   "level": "l3"
  },
  "CAP_0737f948": {
   "en": "Parallel Simulation Determinism",
   "zh": "并行仿真确定性",
   "level": "l3"
  },
  "CAP_6fc00aa5": {
   "en": "DRL Solver Deploy",
   "zh": "盲走抗扰-调优部署伞形",
   "level": "l2"
  },
  "CAP_f952e048": {
   "en": "Solver Parameter Auto Tuning",
   "zh": "求解器参数自动调优",
   "level": "l3"
  },
  "CAP_31beb513": {
   "en": "Anticipatory Signal",
   "zh": "主动避稳-信号采集伞形",
   "level": "l2"
  },
  "CAP_201fac5a": {
   "en": "Anticipatory Predict",
   "zh": "主动避稳-预测伞形",
   "level": "l2"
  },
  "CAP_2627f53a": {
   "en": "Stability Anomaly Feature Extraction",
   "zh": "稳定性异常特征提取",
   "level": "l3"
  },
  "CAP_236419cf": {
   "en": "Stability Risk Prediction",
   "zh": "稳定性风险预测",
   "level": "l3"
  },
  "CAP_af7f4845": {
   "en": "Anticipatory Intervene",
   "zh": "主动避稳-干预伞形",
   "level": "l2"
  },
  "CAP_8822ca1d": {
   "en": "Adaptive Intervention Strategy",
   "zh": "自适应干预策略",
   "level": "l3"
  },
  "CAP_243e112a": {
   "en": "Smooth Parameter Reconfiguration",
   "zh": "平滑参数重配置",
   "level": "l3"
  },
  "CAP_e8b9f4b2": {
   "en": "Video Tokenization Pipeline",
   "zh": "视频分词流水线",
   "level": "l2"
  },
  "CAP_802bf4ea": {
   "en": "Conditional Injection Pipeline",
   "zh": "条件注入流水线",
   "level": "l2"
  },
  "CAP_1b411846": {
   "en": "Conditional Signal Injection",
   "zh": "条件信号注入",
   "level": "l3"
  },
  "CAP_767c0798": {
   "en": "Generative Dynamics Prediction",
   "zh": "生成式动力学预测",
   "level": "l2"
  },
  "CAP_640cbdd5": {
   "en": "Generative Prediction Mode Selection",
   "zh": "生成模式选择",
   "level": "l3"
  },
  "CAP_f8fd0495": {
   "en": "Prediction Result Merge",
   "zh": "预测结果合并",
   "level": "l3"
  },
  "CAP_e1711610": {
   "en": "Open-loop Video Prediction",
   "zh": "开环视频预测",
   "level": "l3"
  },
  "CAP_6dfd3827": {
   "en": "Multimodal-conditional Video Generation",
   "zh": "多模态条件视频生成",
   "level": "l3"
  },
  "CAP_4d62c3fb": {
   "en": "Video Decoding Pipeline",
   "zh": "视频解码流水线",
   "level": "l2"
  },
  "CAP_9f9365c4": {
   "en": "Video Decoding",
   "zh": "视频解码",
   "level": "l3"
  },
  "CAP_857e3de4": {
   "en": "Physics Consistency Verification",
   "zh": "物理合理性验证",
   "level": "l2"
  },
  "CAP_a10869a1": {
   "en": "Physics Consistency Scoring",
   "zh": "物理合理性评分",
   "level": "l3"
  },
  "CAP_282d6909": {
   "en": "Particle Discretization and Neighbor Search",
   "zh": "粒子离散化与邻域搜索",
   "level": "l2"
  },
  "CAP_685f0556": {
   "en": "Particle Neighbor Search",
   "zh": "粒子邻域搜索",
   "level": "l3"
  },
  "CAP_806e4a42": {
   "en": "Particle Interaction Force Computation",
   "zh": "粒子相互作用力计算",
   "level": "l2"
  },
  "CAP_17c3797c": {
   "en": "Material Type Dispatch",
   "zh": "材质类型分派",
   "level": "l3"
  },
  "CAP_f1d8a52f": {
   "en": "Particle Force Merge",
   "zh": "粒子受力合并",
   "level": "l3"
  },
  "CAP_0668dae9": {
   "en": "SPH Fluid Simulation",
   "zh": "SPH 流体模拟",
   "level": "l3"
  },
  "CAP_eaefd73b": {
   "en": "PBD Deformable Solver",
   "zh": "PBD 形变体求解器",
   "level": "l3"
  },
  "CAP_425ea9e8": {
   "en": "MPM Elastoplasticity",
   "zh": "MPM 弹塑性求解",
   "level": "l3"
  },
  "CAP_2eb4dc12": {
   "en": "Particle Boundary and Collision Response",
   "zh": "粒子边界与碰撞响应",
   "level": "l2"
  },
  "CAP_1a26ac7f": {
   "en": "Particle Time Integration and Differentiable Simulation",
   "zh": "粒子时间积分与可微模拟",
   "level": "l2"
  },
  "CAP_c31436ca": {
   "en": "Differentiable Particle Simulation",
   "zh": "可微分粒子模拟",
   "level": "l3"
  },
  "CAP_4e210cb3": {
   "en": "Physiological Signal Synchronization and Denoising",
   "zh": "生理信号同步与去噪",
   "level": "l2"
  },
  "CAP_1692a2af": {
   "en": "Affective Feature Extraction and Fusion",
   "zh": "情感特征提取与跨模态融合",
   "level": "l2"
  },
  "CAP_29417c20": {
   "en": "Affective State Decoding and Uncertainty",
   "zh": "情感状态解码与不确定性",
   "level": "l2"
  },
  "CAP_3f894663": {
   "en": "AdaptivePhysiologicalDenoising",
   "zh": "自适应生理信号去噪",
   "level": "l3"
  },
  "CAP_9cb13da3": {
   "en": "SignalQualityAssessment",
   "zh": "生理信号质量评估",
   "level": "l3"
  },
  "CAP_bdc0e846": {
   "en": "EndToEndAffectiveFeatureExtraction",
   "zh": "端到端情感特征提取",
   "level": "l3"
  },
  "CAP_a3678de0": {
   "en": "ContinuousAffectiveStateDecoding",
   "zh": "连续情感状态解码",
   "level": "l3"
  },
  "CAP_65a6483a": {
   "en": "AffectiveUncertaintyEstimation",
   "zh": "情感不确定性估计",
   "level": "l3"
  },
  "CAP_4562ca2e": {
   "en": "Individual Physio Emotion Feature Extraction",
   "zh": "个体生理情绪特征提取",
   "level": "l3"
  },
  "CAP_16b8dd63": {
   "en": "Hypergraph Construction and Emotion Propagation",
   "zh": "超图构建与情绪传播",
   "level": "l2"
  },
  "CAP_4a435e7f": {
   "en": "Emotional Cascade Dynamics and Adaptation",
   "zh": "情绪传染预测与自适应",
   "level": "l3"
  },
  "CAP_acfb3b06": {
   "en": "HypergraphTopologyConstruction",
   "zh": "超图拓扑构建",
   "level": "l3"
  },
  "CAP_317d1a74": {
   "en": "PhysioSyncHyperedgeWeighting",
   "zh": "生理同步超边权重计算",
   "level": "l3"
  },
  "CAP_5e7fa18a": {
   "en": "HypergraphEmotionContagionModeling",
   "zh": "超图情绪传染建模",
   "level": "l3"
  },
  "CAP_94e5e538": {
   "en": "EmotionalCascadePrediction",
   "zh": "情绪级联预测",
   "level": "l3"
  },
  "CAP_984f396f": {
   "en": "CrossCulturalEmotionAdapter",
   "zh": "跨文化情绪适配",
   "level": "l3"
  },
  "CAP_5ba18271": {
   "en": "Physiological Acquisition and Emotion Inference",
   "zh": "生理信号采集与情绪推断",
   "level": "l2"
  },
  "CAP_469ed681": {
   "en": "Multimodal Fusion and LLM Empathic Strategy",
   "zh": "多模态融合与LLM共情策略",
   "level": "l2"
  },
  "CAP_a01f0af0": {
   "en": "Embodied Empathy Execution",
   "zh": "具身共情行为执行",
   "level": "l3"
  },
  "CAP_2dffcb29": {
   "en": "MultimodalSignalAcquisitionSync",
   "zh": "多模态信号采集与同步",
   "level": "l3"
  },
  "CAP_6b5dbe15": {
   "en": "PhysioEmotionInference",
   "zh": "生理信号情绪推断",
   "level": "l3"
  },
  "CAP_e1311fa0": {
   "en": "MultimodalAffectFusion",
   "zh": "多模态情感融合",
   "level": "l3"
  },
  "CAP_f69968d1": {
   "en": "LlmEmpathicStrategyGeneration",
   "zh": "LLM共情策略生成",
   "level": "l3"
  },
  "CAP_7e8d9317": {
   "en": "UrgentEmotionFastPath",
   "zh": "紧急情绪快速路径",
   "level": "l3"
  },
  "CAP_a2d5f461": {
   "en": "Physiological Preprocessing",
   "zh": "生理信号预处理",
   "level": "l2"
  },
  "CAP_350051f2": {
   "en": "HRV Time-Domain Extraction",
   "zh": "HRV 时域特征提取",
   "level": "l3"
  },
  "CAP_6fdfd430": {
   "en": "HRV Frequency-Domain Extraction",
   "zh": "HRV 频域特征提取",
   "level": "l3"
  },
  "CAP_58cffeab": {
   "en": "EMG Feature Extraction",
   "zh": "EMG 特征提取",
   "level": "l3"
  },
  "CAP_0fd9bbf1": {
   "en": "Trust Regression Modeling",
   "zh": "信任回归建模",
   "level": "l2"
  },
  "CAP_5669d003": {
   "en": "Multimodal Trust Feature Fusion",
   "zh": "多模态信任特征融合",
   "level": "l3"
  },
  "CAP_b8eff288": {
   "en": "Individual Baseline Calibration",
   "zh": "个体生理基线校准",
   "level": "l3"
  },
  "CAP_f32f12ac": {
   "en": "Trust Score Regression",
   "zh": "信任分数回归",
   "level": "l3"
  },
  "CAP_b63e2338": {
   "en": "Multimodal Physiological Acquisition",
   "zh": "多模态生理信号采集",
   "level": "l2"
  },
  "CAP_08c19e15": {
   "en": "Multi-Channel Physiological Sync Acquisition",
   "zh": "多通道生理信号同步采集",
   "level": "l3"
  },
  "CAP_23ba3eac": {
   "en": "Physiological Real-Time Preprocessing",
   "zh": "生理信号实时预处理",
   "level": "l2"
  },
  "CAP_92307846": {
   "en": "Real-Time Physiological Preprocessing",
   "zh": "实时生理信号预处理",
   "level": "l3"
  },
  "CAP_6a54a406": {
   "en": "Adaptive Physiological Windowing",
   "zh": "自适应生理窗口化",
   "level": "l3"
  },
  "CAP_53f27c10": {
   "en": "End-to-End Physio Trust Inference",
   "zh": "端到端生理信任推理",
   "level": "l2"
  },
  "CAP_b1b1ff66": {
   "en": "End-to-End Physiological Trust Network",
   "zh": "端到端生理信任网络",
   "level": "l3"
  },
  "CAP_4a9cf265": {
   "en": "Trust Score Post-Processor",
   "zh": "信任评分后处理",
   "level": "l3"
  },
  "CAP_96bc342d": {
   "en": "Closed-Loop Physio Signal Acquisition",
   "zh": "闭环生理信号采集与特征",
   "level": "l2"
  },
  "CAP_73ec9874": {
   "en": "Physiological Feature Extraction (Trust)",
   "zh": "生理特征提取（信任）",
   "level": "l3"
  },
  "CAP_1cd36ec8": {
   "en": "Closed-Loop Trust State Estimation",
   "zh": "闭环信任状态估计",
   "level": "l2"
  },
  "CAP_4a7c0330": {
   "en": "Trust State Estimation (Closed-Loop)",
   "zh": "闭环信任状态估计",
   "level": "l3"
  },
  "CAP_893c8379": {
   "en": "Closed-Loop Trust Feedback Control",
   "zh": "闭环信任反馈控制",
   "level": "l2"
  },
  "CAP_39736427": {
   "en": "Closed-Loop Physio Feedback Control",
   "zh": "闭环生理信任反馈控制",
   "level": "l3"
  },
  "CAP_82c18239": {
   "en": "Trust Anomaly Detection Interrupt",
   "zh": "信任异常检测中断",
   "level": "l3"
  },
  "CAP_a51f78e1": {
   "en": "Sensor Degradation Fallback",
   "zh": "传感器降级回退",
   "level": "l3"
  },
  "CAP_aaa64b7e": {
   "en": "Closed-Loop Stability Monitor",
   "zh": "闭环稳定性监控",
   "level": "l3"
  },
  "CAP_ddb854fe": {
   "en": "Individual Trust Baseline Calibration",
   "zh": "个体信任基线校准",
   "level": "l3"
  },
  "CAP_d3cf7c0b": {
   "en": "Wearable Physiological Signal Acquisition",
   "zh": "可穿戴生理信号采集",
   "level": "l2"
  },
  "CAP_0a2524ce": {
   "en": "Wearable Signal Preprocessing",
   "zh": "可穿戴信号预处理",
   "level": "l2"
  },
  "CAP_6752e404": {
   "en": "End-to-End Workload Inference",
   "zh": "端到端负荷推理",
   "level": "l2"
  },
  "CAP_9b4ff1e5": {
   "en": "Workload Postprocessing",
   "zh": "负荷后处理",
   "level": "l2"
  },
  "CAP_b04fc493": {
   "en": "Multimodal Physiological Feature Extraction",
   "zh": "多模态生理特征提取",
   "level": "l2"
  },
  "CAP_4042709d": {
   "en": "Feature Fusion and Reduction",
   "zh": "特征级融合与降维",
   "level": "l2"
  },
  "CAP_36d4d99e": {
   "en": "Robust Workload Inference",
   "zh": "鲁棒状态推理",
   "level": "l2"
  },
  "CAP_63b956cc": {
   "en": "Workload Uncertainty Quantification",
   "zh": "负荷不确定性量化",
   "level": "l2"
  },
  "CAP_3b2efd6d": {
   "en": "Physio Signal Acquisition HRC",
   "zh": "人机协同生理信号采集",
   "level": "l2"
  },
  "CAP_a38ab4dd": {
   "en": "Physio Signal Preprocessing HRC",
   "zh": "人机协同信号预处理",
   "level": "l2"
  },
  "CAP_c6b2142f": {
   "en": "Physio Feature Extraction HRC",
   "zh": "人机协同特征提取",
   "level": "l2"
  },
  "CAP_0b0d61c0": {
   "en": "Physio Workload Estimation HRC",
   "zh": "人机协同负荷状态估计",
   "level": "l2"
  },
  "CAP_1c60f52d": {
   "en": "Adaptive Control Policy HRC",
   "zh": "人机协同自适应控制决策",
   "level": "l2"
  },
  "CAP_3b39da1a": {
   "en": "Robot Behavior Execution HRC",
   "zh": "机器人行为执行",
   "level": "l2"
  },
  "CAP_79d8c53a": {
   "en": "PPG/EDA Wearable Signal Acquisition",
   "zh": "可穿戴PPG/EDA原始信号采集",
   "level": "l3"
  },
  "CAP_f2fa1170": {
   "en": "Motion Artifact Adaptive Filtering",
   "zh": "运动伪影自适应滤波",
   "level": "l3"
  },
  "CAP_5d253ffb": {
   "en": "Sliding Window Tensor Generation",
   "zh": "滑动窗口张量生成",
   "level": "l3"
  },
  "CAP_5a40ed9b": {
   "en": "End-to-End Physiological Encoder (1D-CNN+BiLSTM)",
   "zh": "端到端生理编码器(1D-CNN+BiLSTM)",
   "level": "l3"
  },
  "CAP_dec777ef": {
   "en": "Workload Regression with Uncertainty",
   "zh": "带不确定性量化的负荷回归",
   "level": "l3"
  },
  "CAP_a196cb85": {
   "en": "Temporal Smoothing (EMA)",
   "zh": "时序指数移动平均平滑",
   "level": "l3"
  },
  "CAP_2b85aad6": {
   "en": "EEG Bandpower Estimation",
   "zh": "EEG频带功率估计",
   "level": "l3"
  },
  "CAP_cd6fc7fa": {
   "en": "Bayesian Multimodal Fusion",
   "zh": "贝叶斯多模态融合负荷推理",
   "level": "l3"
  },
  "CAP_a5d19180": {
   "en": "Uncertainty Quantification (MC Dropout)",
   "zh": "负荷不确定性量化(MC Dropout)",
   "level": "l3"
  },
  "CAP_fe09162b": {
   "en": "Multimodal Temporal Alignment",
   "zh": "多模态时序对齐与缺失填补",
   "level": "l3"
  },
  "CAP_56604773": {
   "en": "Feature Fusion and Dimensionality Reduction",
   "zh": "特征拼接融合与降维",
   "level": "l3"
  },
  "CAP_fd8eecd6": {
   "en": "Real-time HRV Feature Extraction",
   "zh": "实时HRV特征提取",
   "level": "l3"
  },
  "CAP_cc0bafa1": {
   "en": "Multimodal Workload Fusion",
   "zh": "多模态负荷融合估计",
   "level": "l3"
  },
  "CAP_4c169866": {
   "en": "Adaptive Control Policy Engine",
   "zh": "自适应控制策略引擎",
   "level": "l3"
  },
  "CAP_0de9b0a1": {
   "en": "Multimodal Physio Signal Acquisition (HRC)",
   "zh": "人机协同多模态生理信号采集",
   "level": "l3"
  },
  "CAP_be1f4acf": {
   "en": "Physiological Signal Preprocessing (HRC)",
   "zh": "人机协同生理信号预处理",
   "level": "l3"
  },
  "CAP_64b069d7": {
   "en": "Sampling-Optimization Hierarchical Collision-Free Pick and Place",
   "zh": "采样优化与约束分层解耦无碰撞抓放",
   "level": "l2"
  },
  "CAP_74bb9ce0": {
   "en": "Environment Occupancy Mapping",
   "zh": "环境占据建图",
   "level": "l3"
  },
  "CAP_111c8521": {
   "en": "Collision-Free Candidate Filtering",
   "zh": "无碰撞候选过滤",
   "level": "l3"
  },
  "CAP_c43b512d": {
   "en": "IK Reachability Verification",
   "zh": "逆运动学可达性验证",
   "level": "l3"
  },
  "CAP_f197e488": {
   "en": "Task-Constrained Candidate Optimization",
   "zh": "任务约束候选优化",
   "level": "l3"
  },
  "CAP_a7bccca1": {
   "en": "Place Pose Sampling and Verification",
   "zh": "放置位姿采样与验证",
   "level": "l3"
  },
  "CAP_9caaf579": {
   "en": "End-to-End Visual Servoing Collision-Free Pick and Place",
   "zh": "端到端视觉闭环无碰撞抓放",
   "level": "l2"
  },
  "CAP_2f715562": {
   "en": "Visual Servoing Approach Control",
   "zh": "视觉伺服接近控制",
   "level": "l3"
  },
  "CAP_e3e16dc9": {
   "en": "Collision-Aware Grasp Execution",
   "zh": "无碰撞抓取执行",
   "level": "l3"
  },
  "CAP_5e28a03b": {
   "en": "Visual Placement Adjustment",
   "zh": "视觉引导放置微调",
   "level": "l3"
  },
  "CAP_f5609f57": {
   "en": "Generative Diffusion Policy Long-Horizon Collision-Free Planning",
   "zh": "生成式扩散策略长序列无碰撞规划",
   "level": "l2"
  },
  "CAP_00e3c7c7": {
   "en": "Diffusion Trajectory Generation",
   "zh": "扩散轨迹生成",
   "level": "l3"
  },
  "CAP_c067a225": {
   "en": "Collision-Guided Diffusion",
   "zh": "避障引导扩散",
   "level": "l3"
  },
  "CAP_799bf387": {
   "en": "Receding-Horizon Diffusion MPC",
   "zh": "滚动时域扩散 MPC",
   "level": "l3"
  },
  "CAP_7c4fa6c0": {
   "en": "Trajectory Smoothing and Interpolation",
   "zh": "轨迹平滑插值",
   "level": "l3"
  },
  "CAP_0c040a40": {
   "en": "Online Collision Monitor and Replan",
   "zh": "在线碰撞监控与重规划",
   "level": "l3"
  },
  "CAP_59388f74": {
   "en": "FOC Current Sampling and Coordinate Transform",
   "zh": "FOC电流采样与坐标变换",
   "level": "l2"
  },
  "CAP_6ad6cfc0": {
   "en": "FOC dq Current Decoupling PID Regulation",
   "zh": "FOC dq电流解耦PID调节",
   "level": "l2"
  },
  "CAP_fcac3f5d": {
   "en": "SEA Torque Sensing and Estimation",
   "zh": "SEA力矩感知与估计",
   "level": "l2"
  },
  "CAP_703993a8": {
   "en": "SEA Force-Position Cascade PID Regulation",
   "zh": "SEA力位级联PID调节",
   "level": "l2"
  },
  "CAP_b2957c3a": {
   "en": "Drone Gyro Sensing and Filtering",
   "zh": "多旋翼陀螺仪感知与滤波",
   "level": "l2"
  },
  "CAP_5b55f7cc": {
   "en": "Drone Gyro Filtering Chain",
   "zh": "多旋翼陀螺仪滤波链",
   "level": "l3"
  },
  "CAP_e6a43c19": {
   "en": "Drone Rate Feedforward Control",
   "zh": "多旋翼角速率前馈控制",
   "level": "l3"
  },
  "CAP_199f60e1": {
   "en": "Drone Control Allocation and Mixing",
   "zh": "多旋翼控制分配与混控",
   "level": "l2"
  },
  "CAP_55156cef": {
   "en": "Drone Motor Mixing Allocation",
   "zh": "多旋翼电机混控分配",
   "level": "l3"
  },
  "CAP_6101e8a5": {
   "en": "FOC Coordinate Transform",
   "zh": "FOC坐标变换",
   "level": "l3"
  },
  "CAP_3b60961c": {
   "en": "FOC Voltage Vector Synthesis",
   "zh": "FOC电压矢量合成",
   "level": "l3"
  },
  "CAP_1bb922f4": {
   "en": "SEA Cascade Mode Selection",
   "zh": "SEA级联模式选择",
   "level": "l3"
  },
  "CAP_84167425": {
   "en": "Drone Rate Mode Selection",
   "zh": "多旋翼速率模式选择",
   "level": "l3"
  },
  "CAP_434949e9": {
   "en": "Proprioceptive Joint State Acquisition",
   "zh": "本体感觉关节状态采集",
   "level": "l3"
  },
  "CAP_a8073f77": {
   "en": "Pre-contact Proximity Sensing",
   "zh": "预接触接近感知",
   "level": "l2"
  },
  "CAP_a4e687d5": {
   "en": "Capacitive Pretouch Sensing",
   "zh": "电容式预接触感知",
   "level": "l3"
  },
  "CAP_2279f3db": {
   "en": "Pinch Risk Assessment",
   "zh": "夹点风险评估",
   "level": "l2"
  },
  "CAP_ce8a7990": {
   "en": "Pinch Risk Prediction",
   "zh": "夹点风险预测",
   "level": "l3"
  },
  "CAP_016d277b": {
   "en": "Null-space Pinch Avoidance",
   "zh": "零空间夹点规避",
   "level": "l3"
  },
  "CAP_efbf5182": {
   "en": "Safety Watchdog",
   "zh": "安全看门狗",
   "level": "l3"
  },
  "CAP_ad9d4989": {
   "en": "Dexterous Vision Acquisition",
   "zh": "灵巧手视觉感知",
   "level": "l2"
  },
  "CAP_b15d0e39": {
   "en": "Depth-based Hand Pose Estimation",
   "zh": "基于深度的手部姿态估计",
   "level": "l3"
  },
  "CAP_3d8d0fefe3": {
   "en": "Pinch Zone Detection",
   "zh": "夹点区域检测",
   "level": "l3"
  },
  "CAP_334d4022e5": {
   "en": "Pinch Risk Level Assessment",
   "zh": "夹点风险等级评估",
   "level": "l3"
  },
  "CAP_1cf544c382": {
   "en": "Dexterous Regrasp Planning",
   "zh": "灵巧手无夹点重规划",
   "level": "l3"
  },
  "CAP_ea190ec016": {
   "en": "Safe Execution Monitor",
   "zh": "安全执行监控",
   "level": "l3"
  },
  "CAP_f72fe67b6b": {
   "en": "Semantic Tactile Classification",
   "zh": "语义触觉分类",
   "level": "l3"
  },
  "CAP_555a16d61a": {
   "en": "Pinch Severity Estimation",
   "zh": "夹点严重度评估",
   "level": "l3"
  },
  "CAP_c2b9ef072b": {
   "en": "Impedance Compliance Control",
   "zh": "阻抗柔顺控制",
   "level": "l3"
  },
  "CAP_025f6024d2": {
   "en": "Post-contact State Recovery",
   "zh": "接触后状态恢复",
   "level": "l3"
  },
  "CAP_e2950b0e": {
   "en": "Pivot Scene Perception",
   "zh": "枢转场景感知",
   "level": "l2"
  },
  "CAP_f60ddebe": {
   "en": "RGB-D Instance Segmentation",
   "zh": "RGB-D实例分割",
   "level": "l3"
  },
  "CAP_a1fe4076": {
   "en": "Quasi-static Pivot Planning",
   "zh": "准静态枢转规划",
   "level": "l2"
  },
  "CAP_4b78d19e": {
   "en": "Pivot Point Selection and Path Planning",
   "zh": "枢轴点选择与路径规划",
   "level": "l3"
  },
  "CAP_3b3ea5c4": {
   "en": "Pivot Contact Planning",
   "zh": "枢轴接触规划",
   "level": "l3"
  },
  "CAP_89b04cd8": {
   "en": "Multi-step Pivot Sequencing",
   "zh": "多步枢转序列分解",
   "level": "l3"
  },
  "CAP_4c6cb32f": {
   "en": "Force-controlled Push Execution",
   "zh": "力控推杆执行",
   "level": "l2"
  },
  "CAP_a6bb6286": {
   "en": "Admittance-controlled Pushing",
   "zh": "导纳控制推杆",
   "level": "l3"
  },
  "CAP_c5932213": {
   "en": "Closed-loop Pivot Servoing",
   "zh": "闭环枢转伺服",
   "level": "l2"
  },
  "CAP_d8db38e9": {
   "en": "Visual Pivot Servoing",
   "zh": "视觉枢转伺服",
   "level": "l3"
  },
  "CAP_1653e522": {
   "en": "Pivot Retract and Validation",
   "zh": "枢转撤回与验证",
   "level": "l3"
  },
  "CAP_20a3fb34": {
   "en": "In-hand Pivot Grasp Establishment",
   "zh": "手内枢转抓取建立",
   "level": "l2"
  },
  "CAP_a93ac8fa": {
   "en": "In-hand Object Pose and Contact Estimation",
   "zh": "手内物体位姿与接触估计",
   "level": "l3"
  },
  "CAP_5128e10f": {
   "en": "In-hand Grasp Planning",
   "zh": "手内抓取规划",
   "level": "l3"
  },
  "CAP_d00c8057": {
   "en": "Dynamic In-hand Pivot Control",
   "zh": "动态手内枢转控制",
   "level": "l2"
  },
  "CAP_09aeff0c": {
   "en": "In-hand Pivot Axis Identification",
   "zh": "手内枢轴轴识别",
   "level": "l3"
  },
  "CAP_077c9a93": {
   "en": "Dynamic Finger Pivot Control",
   "zh": "动态手指枢转控制",
   "level": "l3"
  },
  "CAP_b42780f2": {
   "en": "In-hand Pivot Sim-to-Real Transfer",
   "zh": "手内枢转仿真到现实迁移",
   "level": "l3"
  },
  "CAP_7bbe4aaa": {
   "en": "In-hand Pivot Servoing & Recovery",
   "zh": "手内枢转伺服与恢复",
   "level": "l2"
  },
  "CAP_12561458": {
   "en": "Multifinger Pivot Contact Switching",
   "zh": "多指枢转接触切换",
   "level": "l3"
  },
  "CAP_5742ea4e": {
   "en": "In-hand Pivot Termination",
   "zh": "手内枢转终止",
   "level": "l2"
  },
  "CAP_4323e3c4": {
   "en": "In-hand Pivot Pose Validation",
   "zh": "手内枢转姿态验证",
   "level": "l3"
  },
  "CAP_40879e2c": {
   "en": "Mobile Pivot Approach and Stabilization",
   "zh": "移动枢转接近与稳定",
   "level": "l2"
  },
  "CAP_0318ce45": {
   "en": "Mobile Base Navigation to Contact",
   "zh": "移动底盘导航接近接触",
   "level": "l3"
  },
  "CAP_608b025c": {
   "en": "Mobile Base Pivot Stabilization",
   "zh": "移动底盘枢转稳定",
   "level": "l3"
  },
  "CAP_b4fed4a4": {
   "en": "Whole-body Pivot Momentum Control",
   "zh": "全身枢转动量控制",
   "level": "l2"
  },
  "CAP_c329e812": {
   "en": "Whole-body Pivot Momentum Injection",
   "zh": "全身枢转动量注入",
   "level": "l3"
  },
  "CAP_b3717d4d": {
   "en": "Pivot Trajectory Optimization",
   "zh": "枢转轨迹优化",
   "level": "l3"
  },
  "CAP_956d35fb": {
   "en": "Dynamic Pivot Contact Maintenance",
   "zh": "动态枢转接触维持",
   "level": "l2"
  },
  "CAP_beb3aa50": {
   "en": "Dynamic Pivot Contact Adjustment",
   "zh": "动态枢转接触调整",
   "level": "l3"
  },
  "CAP_7dfef0ed": {
   "en": "Pivot Retract and Release",
   "zh": "枢转撤回与释放",
   "level": "l3"
  },
  "CAP_6a2e131f": {
   "en": "Geometric-Physics Placement Generation",
   "zh": "几何-物理放置生成",
   "level": "l2"
  },
  "CAP_61b4b057": {
   "en": "Support Plane Segmentation",
   "zh": "支撑平面分割",
   "level": "l3"
  },
  "CAP_ec5bbb25": {
   "en": "Collision-free Pose Sampling",
   "zh": "无碰撞位姿采样",
   "level": "l3"
  },
  "CAP_ff8a7a94": {
   "en": "Static Stability Analysis",
   "zh": "静态稳定性分析",
   "level": "l3"
  },
  "CAP_1ab265e1": {
   "en": "Physics-based Placement Validation",
   "zh": "物理仿真放置验证",
   "level": "l3"
  },
  "CAP_e130f37c": {
   "en": "Visual Affordance Placement Reasoning",
   "zh": "视觉可供性放置推理",
   "level": "l2"
  },
  "CAP_9779ca2d": {
   "en": "Visual Object Encoding",
   "zh": "物体视觉特征编码",
   "level": "l3"
  },
  "CAP_60f0f3b5": {
   "en": "Scene Functional Parsing",
   "zh": "场景功能区域解析",
   "level": "l3"
  },
  "CAP_614891ea": {
   "en": "Visual Affordance Matching",
   "zh": "视觉可供性匹配",
   "level": "l3"
  },
  "CAP_4fdb43cb": {
   "en": "Placement Candidate Spatial Generation",
   "zh": "放置候选空间生成",
   "level": "l3"
  },
  "CAP_615f9fe5": {
   "en": "Diffusion VLA Placement Generation",
   "zh": "扩散VLA放置生成",
   "level": "l2"
  },
  "CAP_68495f64": {
   "en": "Diffusion Placement Generation",
   "zh": "扩散放置生成",
   "level": "l3"
  },
  "CAP_08c5399b": {
   "en": "VLA Instruction Following",
   "zh": "VLA指令跟随",
   "level": "l3"
  },
  "CAP_4d735e5c": {
   "en": "SE(3) Pose Denoising",
   "zh": "SE(3)位姿去噪",
   "level": "l3"
  },
  "CAP_660bbd9c": {
   "en": "Physics-aware Candidate Filtering",
   "zh": "物理感知候选过滤",
   "level": "l3"
  },
  "CAP_35a63000": {
   "en": "Scene Constraint Extraction",
   "zh": "场景约束提取",
   "level": "l2"
  },
  "CAP_b8146616": {
   "en": "Target Region Scene Understanding",
   "zh": "目标区域场景理解",
   "level": "l3"
  },
  "CAP_af5dd0f7": {
   "en": "Constrained Sampling Planning",
   "zh": "约束采样规划",
   "level": "l2"
  },
  "CAP_e038eda0": {
   "en": "Vis-Phys Scoring Planning",
   "zh": "视觉-物理评分规划",
   "level": "l2"
  },
  "CAP_dc5ae408": {
   "en": "Visual-Physical Hybrid Placement Scoring",
   "zh": "视觉-物理混合放置评分",
   "level": "l3"
  },
  "CAP_cf4174a9": {
   "en": "SE3 Local Optimization Planning",
   "zh": "SE(3)局部优化规划",
   "level": "l2"
  },
  "CAP_ef9af59b": {
   "en": "Local Trajectory Planning",
   "zh": "局部轨迹规划",
   "level": "l2"
  },
  "CAP_ce650f6b": {
   "en": "Multimodal Placement Encoding",
   "zh": "多模态放置编码",
   "level": "l2"
  },
  "CAP_fde7ce5b": {
   "en": "Multimodal Prompting for Placement",
   "zh": "多模态放置提示",
   "level": "l3"
  },
  "CAP_af6793da": {
   "en": "Generative Placement Pose Inference",
   "zh": "生成式放置位姿推理",
   "level": "l2"
  },
  "CAP_40db492d": {
   "en": "Semantic Placement Pose Generation",
   "zh": "语义放置位姿生成",
   "level": "l3"
  },
  "CAP_17843435": {
   "en": "VLM Trajectory Planning",
   "zh": "VLM轨迹规划",
   "level": "l2"
  },
  "CAP_b28e9193": {
   "en": "VLM-guided Approach-Retreat Trajectory Generation",
   "zh": "VLM引导接近-退避轨迹生成",
   "level": "l3"
  },
  "CAP_0feaf1f0": {
   "en": "Placement Execution Verification",
   "zh": "放置执行验证",
   "level": "l2"
  },
  "CAP_dc0b1de4": {
   "en": "Closed-Loop Placement Verification",
   "zh": "闭环放置验证",
   "level": "l3"
  },
  "CAP_843339da": {
   "en": "Approach Trajectory Generation",
   "zh": "接近轨迹生成",
   "level": "l3"
  },
  "CAP_0e17c1ef": {
   "en": "Constrained Place Pose Optimization Planning",
   "zh": "约束放置位姿优化规划",
   "level": "l2"
  },
  "CAP_dbc2ef24": {
   "en": "Constrained Place Pose Optimization",
   "zh": "约束放置位姿优化",
   "level": "l3"
  },
  "CAP_182161f5": {
   "en": "Guarded Placement Motion Planning",
   "zh": "柔顺放置运动规划",
   "level": "l2"
  },
  "CAP_35b801ef": {
   "en": "Safe Retreat Trajectory Planning",
   "zh": "安全退避轨迹规划",
   "level": "l2"
  },
  "CAP_254c935a": {
   "en": "Safe Retreat Trajectory",
   "zh": "安全退避轨迹",
   "level": "l3"
  },
  "CAP_97a05e08": {
   "en": "Global Descriptor Aggregation (Stage)",
   "zh": "全局描述子聚合（阶段）",
   "level": "l2"
  },
  "CAP_fd5cae39": {
   "en": "Feature Mixing",
   "zh": "特征混合",
   "level": "l3"
  },
  "CAP_44f0001a": {
   "en": "Descriptor Postprocessing (Stage)",
   "zh": "描述子后处理（阶段）",
   "level": "l2"
  },
  "CAP_0b32ac1c": {
   "en": "Semantic Object Detection (Stage)",
   "zh": "语义对象检测（阶段）",
   "level": "l2"
  },
  "CAP_b8b8f9c8": {
   "en": "Descriptor Extraction & Graph Construction (Stage)",
   "zh": "描述符提取与图构建（阶段）",
   "level": "l2"
  },
  "CAP_2d3ec9fb": {
   "en": "Semantic Graph Construction",
   "zh": "语义图构建",
   "level": "l3"
  },
  "CAP_96721b11": {
   "en": "Anchor Matching & Verification (Stage)",
   "zh": "锚点匹配与验证（阶段）",
   "level": "l2"
  },
  "CAP_91b8def3": {
   "en": "Zero-Shot & Multimodal VPR (Stage)",
   "zh": "零样本与多模态 VPR（阶段）",
   "level": "l2"
  },
  "CAP_2790fbf1": {
   "en": "Multimodal Text-Image Place Retrieval",
   "zh": "多模态文本图像位置检索",
   "level": "l3"
  },
  "CAP_2ad2a7d7": {
   "en": "Dense Local Feature Matching For VPR",
   "zh": "面向 VPR 的密集局部特征匹配",
   "level": "l3"
  },
  "CAP_b73359ef": {
   "en": "Appearance Descriptor Extraction",
   "zh": "外观描述符提取",
   "level": "l2"
  },
  "CAP_3165c9c3": {
   "en": "Hierarchical Appearance Retrieval",
   "zh": "层次化外观检索",
   "level": "l2"
  },
  "CAP_8663e4d7": {
   "en": "Hierarchical Candidate Retrieval",
   "zh": "层次化候选检索",
   "level": "l3"
  },
  "CAP_23c29d13": {
   "en": "Local Feature Geometric Verification",
   "zh": "局部特征几何验证",
   "level": "l3"
  },
  "CAP_d81d61d7": {
   "en": "Topological Consistency Validation",
   "zh": "拓扑一致性校验",
   "level": "l2"
  },
  "CAP_7e45fa42": {
   "en": "Topological Consistency Check",
   "zh": "拓扑一致性检查",
   "level": "l3"
  },
  "CAP_1f0bc0c1": {
   "en": "Semantic Instance Extraction (Umbrella)",
   "zh": "语义实例提取",
   "level": "l2"
  },
  "CAP_054ccfe0": {
   "en": "Semantic Instance Extraction",
   "zh": "语义实例提取",
   "level": "l3"
  },
  "CAP_80f6e76e": {
   "en": "Spatial Relation Encoding (Umbrella)",
   "zh": "空间关系编码",
   "level": "l2"
  },
  "CAP_86227c5f": {
   "en": "Semantic Graph Descriptor Generation (Umbrella)",
   "zh": "语义图描述子生成",
   "level": "l2"
  },
  "CAP_12ca122a": {
   "en": "Semantic Graph Descriptor Generation",
   "zh": "语义图描述子生成",
   "level": "l3"
  },
  "CAP_f255d8e4": {
   "en": "Topological Place Matching (Umbrella)",
   "zh": "拓扑地点匹配",
   "level": "l2"
  },
  "CAP_4a43e377": {
   "en": "Topological Place Matching",
   "zh": "拓扑地点匹配",
   "level": "l3"
  },
  "CAP_fc21faca": {
   "en": "Sparse Topo Graph Maintenance (Umbrella)",
   "zh": "稀疏拓扑图维护",
   "level": "l2"
  },
  "CAP_e741df77": {
   "en": "Sparse Topo Graph Maintenance",
   "zh": "稀疏拓扑图维护",
   "level": "l3"
  },
  "CAP_7d7d9bb7": {
   "en": "VLM Image Encoding (Umbrella)",
   "zh": "VLM图像编码",
   "level": "l2"
  },
  "CAP_59b5c759": {
   "en": "Text Anchor Generation (Umbrella)",
   "zh": "文本锚点生成",
   "level": "l2"
  },
  "CAP_42a379d7": {
   "en": "Text Anchor Generation",
   "zh": "文本锚点生成",
   "level": "l3"
  },
  "CAP_ca8b8159": {
   "en": "Text Anchor Encoding (Umbrella)",
   "zh": "文本锚点编码",
   "level": "l2"
  },
  "CAP_7837f619": {
   "en": "Text Anchor Encoding",
   "zh": "文本锚点编码",
   "level": "l3"
  },
  "CAP_effea82e": {
   "en": "Cross-modal Retrieval (Umbrella)",
   "zh": "跨模态检索",
   "level": "l2"
  },
  "CAP_e8c1a48b": {
   "en": "Cross-modal Retrieval",
   "zh": "跨模态检索",
   "level": "l3"
  },
  "CAP_af089eaf": {
   "en": "Topo Node Decision (Umbrella)",
   "zh": "拓扑节点决策",
   "level": "l2"
  },
  "CAP_ac24d5ff": {
   "en": "Topo Node Decision",
   "zh": "拓扑节点决策",
   "level": "l3"
  },
  "CAP_027da2a2": {
   "en": "Node Description Update (Umbrella)",
   "zh": "节点描述更新",
   "level": "l2"
  },
  "CAP_23ff5613": {
   "en": "Node Description Update",
   "zh": "节点描述更新",
   "level": "l3"
  },
  "CAP_99eaafdb": {
   "en": "Analytic Quasistatic Push Modeling",
   "zh": "解析准静态推物建模",
   "level": "l2"
  },
  "CAP_f376d062": {
   "en": "Contact Geometry Calibration",
   "zh": "接触几何标定",
   "level": "l3"
  },
  "CAP_e1bbeeb7": {
   "en": "Quasistatic Motion Prediction",
   "zh": "准静态运动预测",
   "level": "l3"
  },
  "CAP_67d050b8": {
   "en": "Stable Push Direction Planning",
   "zh": "稳定推动方向规划",
   "level": "l3"
  },
  "CAP_69c3a077": {
   "en": "Multi-step Push Sequence Planning",
   "zh": "多步推动序列规划",
   "level": "l3"
  },
  "CAP_112b0aea": {
   "en": "Open-loop Push Execution",
   "zh": "开环推动执行",
   "level": "l3"
  },
  "CAP_8b017c11": {
   "en": "Visual End-to-End Push Policy",
   "zh": "视觉端到端推动策略",
   "level": "l2"
  },
  "CAP_ef63607e": {
   "en": "Visual Pushing Policy Learning",
   "zh": "视觉推动策略学习",
   "level": "l3"
  },
  "CAP_b26a25dd": {
   "en": "Sim-to-Real Visual Push Transfer",
   "zh": "视觉推动仿真到真实迁移",
   "level": "l3"
  },
  "CAP_ae8f5cde": {
   "en": "Goal-Conditioned Visual Pushing",
   "zh": "目标条件视觉推动",
   "level": "l3"
  },
  "CAP_d28c3024": {
   "en": "Multi-Object Visual Pushing",
   "zh": "多物体视觉推动",
   "level": "l3"
  },
  "CAP_ca25a84e": {
   "en": "Model-Based Diffusion Push Planning",
   "zh": "基于模型的扩散推物规划",
   "level": "l2"
  },
  "CAP_3ee182af": {
   "en": "Model-Guided Diffusion Push Planning",
   "zh": "模型引导扩散推物规划",
   "level": "l3"
  },
  "CAP_7a869ae6": {
   "en": "Learned Push Dynamics Model",
   "zh": "学习式推物动力学模型",
   "level": "l3"
  },
  "CAP_c275f2ce": {
   "en": "Analytical Quasistatic Push Model",
   "zh": "解析准静态推物模型",
   "level": "l3"
  },
  "CAP_6844400d": {
   "en": "Visual Push State Estimation",
   "zh": "视觉推物状态估计",
   "level": "l3"
  },
  "CAP_2a6e6934": {
   "en": "Diffusion Push Execution",
   "zh": "扩散推物执行",
   "level": "l3"
  },
  "CAP_61bfc920": {
   "en": "BT Structure Load and Hot Reload",
   "zh": "行为树结构加载与热重载",
   "level": "l3"
  },
  "CAP_47a9d9fa": {
   "en": "Hierarchical Option Branch Switching",
   "zh": "层次化Option分支切换",
   "level": "l2"
  },
  "CAP_9411d630": {
   "en": "LLM Plan-Monitor-Replan Switching",
   "zh": "LLM规划-监控-重规划切换",
   "level": "l2"
  },
  "CAP_8b7efe74": {
   "en": "LLM Contingency Parser",
   "zh": "LLM应急分支解析器",
   "level": "l3"
  },
  "CAP_efd8452e": {
   "en": "Skill Primitive Switch Graph Generator",
   "zh": "技能原语切换图生成器",
   "level": "l3"
  },
  "CAP_d4d06a1f": {
   "en": "Executable Switch Code Synthesizer",
   "zh": "可执行切换代码合成器",
   "level": "l3"
  },
  "CAP_290180d9": {
   "en": "Safe Dynamic Switch Deployer",
   "zh": "安全动态切换部署器",
   "level": "l3"
  },
  "CAP_6d990044": {
   "en": "Symbolic State Estimation",
   "zh": "符号状态估计",
   "level": "l2"
  },
  "CAP_9e88a578": {
   "en": "Deviation Driven Replanning Trigger",
   "zh": "偏差驱动重规划触发器",
   "level": "l3"
  },
  "CAP_37874e8d": {
   "en": "Global Consistency Validation",
   "zh": "全局一致性验证",
   "level": "l2"
  },
  "CAP_14918d62": {
   "en": "Global Consistency CrossCheck",
   "zh": "全局一致性交叉核查",
   "level": "l3"
  },
  "CAP_0e57560e": {
   "en": "Logical Precondition Validator",
   "zh": "逻辑前提条件验证器",
   "level": "l3"
  },
  "CAP_233bdd34": {
   "en": "Temporal Consistency Reasoning",
   "zh": "时序一致性推理",
   "level": "l3"
  },
  "CAP_b4dd5ec7": {
   "en": "Resource Consistency Enforcement",
   "zh": "资源一致性强制保障",
   "level": "l3"
  },
  "CAP_b05d25c7": {
   "en": "Affected Fragment Identification",
   "zh": "受影响片段识别",
   "level": "l2"
  },
  "CAP_64a28fb1": {
   "en": "Affected Plan Fragment Identification",
   "zh": "受影响计划片段识别",
   "level": "l3"
  },
  "CAP_074bda2f": {
   "en": "Consistency Constraint Extraction",
   "zh": "一致性约束提取",
   "level": "l2"
  },
  "CAP_87d96688": {
   "en": "Consistency Constraint Re-analysis",
   "zh": "一致性约束重分析",
   "level": "l3"
  },
  "CAP_50ecf5d0": {
   "en": "Symbolic Replanning Solving",
   "zh": "符号重规划求解",
   "level": "l2"
  },
  "CAP_56b054c9": {
   "en": "Symbolic Repair Solving",
   "zh": "符号修复求解",
   "level": "l3"
  },
  "CAP_aaa1e3e3": {
   "en": "Plan Stitching and Dispatch",
   "zh": "计划缝合与下发",
   "level": "l3"
  },
  "CAP_2fa7e184": {
   "en": "Plan Scene Translation",
   "zh": "计划场景翻译",
   "level": "l2"
  },
  "CAP_a9ec0dde": {
   "en": "Plan Scene Translator",
   "zh": "计划场景翻译器",
   "level": "l3"
  },
  "CAP_b1738ba6": {
   "en": "Semantic Anomaly Detection Pipeline",
   "zh": "语义异常检测流水线",
   "level": "l2"
  },
  "CAP_081a2408": {
   "en": "LLM Semantic Anomaly Detection",
   "zh": "大语言模型语义异常检测",
   "level": "l3"
  },
  "CAP_e111f62f": {
   "en": "Context Aware Repair Pipeline",
   "zh": "上下文感知修复流水线",
   "level": "l2"
  },
  "CAP_3bd5b5b6": {
   "en": "Context Aware Repair Generation",
   "zh": "上下文感知修复生成",
   "level": "l3"
  },
  "CAP_a546f237": {
   "en": "Specification Formalization",
   "zh": "规范形式化",
   "level": "l2"
  },
  "CAP_7ef7b9aa": {
   "en": "Specification Compilation (LTL/STL)",
   "zh": "规范编译（LTL/STL）",
   "level": "l3"
  },
  "CAP_d0d9f60f": {
   "en": "Runtime Monitoring",
   "zh": "运行时监控",
   "level": "l2"
  },
  "CAP_d594dd90": {
   "en": "Runtime Monitoring (Robustness)",
   "zh": "运行时监控（鲁棒度）",
   "level": "l3"
  },
  "CAP_1fca2209": {
   "en": "Reactive Synthesis",
   "zh": "反应式合成",
   "level": "l2"
  },
  "CAP_b582b110": {
   "en": "Reactive Synthesis (GR(1))",
   "zh": "反应式合成（GR(1)）",
   "level": "l3"
  },
  "CAP_be9be8d2": {
   "en": "Strategy Injection",
   "zh": "策略注入",
   "level": "l2"
  },
  "CAP_1d1d4f1e": {
   "en": "Strategy Injection Execution",
   "zh": "策略注入执行",
   "level": "l3"
  },
  "CAP_23932159": {
   "en": "Monitoring Synthesis Coordination",
   "zh": "监控合成协调",
   "level": "l2"
  },
  "CAP_8fa8d9c4": {
   "en": "Monitoring Synthesis Closed Loop",
   "zh": "监控合成闭环",
   "level": "l3"
  },
  "CAP_af129675": {
   "en": "LLM Diagnosis Context Aggregation",
   "zh": "LLM 诊断上下文聚合",
   "level": "l2"
  },
  "CAP_ebd72729": {
   "en": "LLM Reflective Diagnosis",
   "zh": "LLM 反思式诊断",
   "level": "l2"
  },
  "CAP_4654771a": {
   "en": "Diagnosis Structuring",
   "zh": "诊断结构化",
   "level": "l2"
  },
  "CAP_350e2821": {
   "en": "Diagnosis Verification and Routing",
   "zh": "诊断验证与路由",
   "level": "l2"
  },
  "CAP_67055b82": {
   "en": "LLM Failure Context Aggregation",
   "zh": "LLM 失败上下文聚合",
   "level": "l3"
  },
  "CAP_ae3323b6": {
   "en": "Forward Model Loading",
   "zh": "前向模型加载",
   "level": "l2"
  },
  "CAP_6132c673": {
   "en": "Predictive Rollout Generation",
   "zh": "预测轨迹生成",
   "level": "l2"
  },
  "CAP_48c8509e": {
   "en": "Deviation Anomaly Scoring",
   "zh": "偏差异常评分",
   "level": "l2"
  },
  "CAP_a093f5ad": {
   "en": "Causal Tracing and Impact Propagation",
   "zh": "因果追溯与影响传播",
   "level": "l2"
  },
  "CAP_06295f17": {
   "en": "Forward Model Selection Parameterization",
   "zh": "前向模型选择与参数化",
   "level": "l3"
  },
  "CAP_249373b4": {
   "en": "Observation Alignment Feature Extraction",
   "zh": "观测对齐与特征提取",
   "level": "l3"
  },
  "CAP_a0dda509": {
   "en": "Deviation Quantification Anomaly Scoring",
   "zh": "偏差量化与异常评分",
   "level": "l3"
  },
  "CAP_8153a52a": {
   "en": "Causal Tracing Impact Propagation",
   "zh": "因果追溯与影响传播",
   "level": "l3"
  },
  "CAP_281519bb": {
   "en": "Long-horizon Plan Parsing",
   "zh": "长时域计划解析",
   "level": "l2"
  },
  "CAP_87d295af": {
   "en": "Long-horizon Metric Computation",
   "zh": "长时域指标计算",
   "level": "l2"
  },
  "CAP_39353ebd": {
   "en": "Long-horizon Plan Selection & Dispatch",
   "zh": "长时域计划选择下发",
   "level": "l2"
  },
  "CAP_9d8d369f": {
   "en": "Plan Structure Extraction",
   "zh": "计划结构提取",
   "level": "l2"
  },
  "CAP_550a8d7a": {
   "en": "Semantic Alignment Check",
   "zh": "语义对齐校验",
   "level": "l2"
  },
  "CAP_103cd7c1": {
   "en": "Reasonability Adjudication",
   "zh": "合理性裁决",
   "level": "l2"
  },
  "CAP_e8579d20": {
   "en": "Plan Normalization",
   "zh": "计划标准化",
   "level": "l2"
  },
  "CAP_3a4fa802": {
   "en": "Multi-objective Plan Scoring",
   "zh": "多目标计划评分",
   "level": "l2"
  },
  "CAP_bf9c1d19": {
   "en": "Multi-dimensional Metric Calculation",
   "zh": "多维指标计算",
   "level": "l3"
  },
  "CAP_6fbd5a0b": {
   "en": "Implicit Intent Expansion",
   "zh": "隐含意图展开",
   "level": "l3"
  },
  "CAP_3f4f9ead": {
   "en": "Dynamic Constraint Formulation",
   "zh": "动态约束建模",
   "level": "l3"
  },
  "CAP_f7990760": {
   "en": "Optimal Plan Selector",
   "zh": "最优计划选择器",
   "level": "l3"
  },
  "CAP_2612df4d": {
   "en": "BT Local Dependency Repair",
   "zh": "行为树局部依赖修复",
   "level": "l2"
  },
  "CAP_9bce2219": {
   "en": "BT Node Failure Isolation",
   "zh": "行为树节点失败定位",
   "level": "l3"
  },
  "CAP_84165a2b": {
   "en": "BT Dependency Graph Analysis",
   "zh": "行为树依赖图分析",
   "level": "l3"
  },
  "CAP_273e5f86": {
   "en": "Local Repair Strategy Selection",
   "zh": "局部修复策略选择",
   "level": "l3"
  },
  "CAP_95b99ba8": {
   "en": "Dynamic Subtree Instantiation",
   "zh": "动态子树实例化",
   "level": "l3"
  },
  "CAP_ada63158": {
   "en": "Context-Aware Recovery Execution",
   "zh": "上下文感知恢复执行",
   "level": "l3"
  },
  "CAP_73829f71": {
   "en": "MPC Sampling Recovery",
   "zh": "基于模型预测控制的采样恢复",
   "level": "l2"
  },
  "CAP_1165ebfa": {
   "en": "Constraint-Adaptive Recovery Modeling",
   "zh": "约束自适应恢复建模",
   "level": "l3"
  },
  "CAP_a9bc8439": {
   "en": "LLM Semantic Recovery",
   "zh": "大语言模型语义异常恢复",
   "level": "l2"
  },
  "CAP_81dd9650": {
   "en": "LLM Semantic Anomaly Encoding",
   "zh": "LLM 语义异常编码",
   "level": "l3"
  },
  "CAP_e3b5302a": {
   "en": "LLM Context Retrieval for Recovery",
   "zh": "LLM 恢复上下文检索",
   "level": "l3"
  },
  "CAP_4b8333d9": {
   "en": "Platform-Agnostic Model and Kinematics Abstraction",
   "zh": "平台无关的模型与运动学抽象",
   "level": "l2"
  },
  "CAP_7e80d73d": {
   "en": "ROS 2 Control Hardware Interface Abstraction",
   "zh": "ROS 2 Control 硬件接口抽象",
   "level": "l2"
  },
  "CAP_9afc14a0": {
   "en": "Cross-Platform Runtime and Sensing Abstraction",
   "zh": "跨平台运行时与感知抽象",
   "level": "l2"
  },
  "CAP_969bccc8": {
   "en": "Math Backend Selection",
   "zh": "数学后端选择",
   "level": "l3"
  },
  "CAP_328cf3ac": {
   "en": "Hardware Interface Abstraction",
   "zh": "硬件接口抽象",
   "level": "l3"
  },
  "CAP_ab4da9d1": {
   "en": "Cross-Platform DDS Selection",
   "zh": "跨平台DDS选择",
   "level": "l3"
  },
  "CAP_8c6124a6": {
   "en": "Sensor Data Normalization",
   "zh": "传感器数据归一化",
   "level": "l3"
  },
  "CAP_9044663a": {
   "en": "Sim-to-Real Scene Construction",
   "zh": "Sim-to-Real 仿真场景构建",
   "level": "l2"
  },
  "CAP_c417755c": {
   "en": "GPU Parallel Sim-to-Real Training",
   "zh": "GPU并行Sim-to-Real训练",
   "level": "l2"
  },
  "CAP_9ac67f1e": {
   "en": "Scene Description File Authoring",
   "zh": "场景描述文件编写",
   "level": "l3"
  },
  "CAP_45dd5057": {
   "en": "Cross-Platform Inference Compilation Deployment",
   "zh": "跨平台推理编译部署",
   "level": "l2"
  },
  "CAP_d71b0ad6": {
   "en": "Low-cost Handheld Gripper Play Data Collection",
   "zh": "低成本手持夹爪玩耍数据采集",
   "level": "l2"
  },
  "CAP_26a46f7a": {
   "en": "Handheld Gripper Teleop Capture",
   "zh": "手持夹爪遥操作采集",
   "level": "l3"
  },
  "CAP_464af98f": {
   "en": "Play Session Design and Config",
   "zh": "玩耍会话设计与配置",
   "level": "l3"
  },
  "CAP_532a6ea9": {
   "en": "Low-cost Gripper Calibration",
   "zh": "低成本夹爪标定",
   "level": "l3"
  },
  "CAP_74ba6914": {
   "en": "Play Data Cleaning and Augmentation",
   "zh": "玩耍数据清洗与增强",
   "level": "l3"
  },
  "CAP_2aaefcf2": {
   "en": "Data to RLDS Converter",
   "zh": "数据转 RLDS 转换器",
   "level": "l3"
  },
  "CAP_0577a324": {
   "en": "High-fidelity Bilateral Teleop Collection",
   "zh": "高保真主从遥操作采集",
   "level": "l2"
  },
  "CAP_62cd3e47": {
   "en": "High-fidelity Bilateral Teleop Control",
   "zh": "高保真双向力反馈遥操作控制",
   "level": "l3"
  },
  "CAP_fbbeea46": {
   "en": "Workspace Mapping and Calibration",
   "zh": "工作空间映射与标定",
   "level": "l3"
  },
  "CAP_5c337416": {
   "en": "Synchronized Multimodal Data Logging",
   "zh": "同步多模态数据记录",
   "level": "l3"
  },
  "CAP_454ac648": {
   "en": "Safety Monitoring and Emergency Stop",
   "zh": "安全监控与急停",
   "level": "l3"
  },
  "CAP_fc2a56a0": {
   "en": "VR Mocap Whole-body Teleop Collection",
   "zh": "VR/动捕全身遥操作采集",
   "level": "l2"
  },
  "CAP_2d7dda9e": {
   "en": "Whole-body Motion Capture and Reconstruction",
   "zh": "全身运动捕捉与重建",
   "level": "l3"
  },
  "CAP_f6e67522": {
   "en": "Low-latency Immersive Stereo Visual Feedback",
   "zh": "低延迟沉浸式立体视觉反馈",
   "level": "l3"
  },
  "CAP_6d526562": {
   "en": "Humanoid Motion Retargeting",
   "zh": "人形机器人运动学重定向",
   "level": "l3"
  },
  "CAP_8fea59b3": {
   "en": "Multimodal Synchronized Data Recording and Replay",
   "zh": "多模态同步数据记录与回放",
   "level": "l3"
  },
  "CAP_041e81e7": {
   "en": "Pneumatic Servo Trajectory Tracking",
   "zh": "气动伺服轨迹跟踪",
   "level": "l2"
  },
  "CAP_cf244162": {
   "en": "PAM Hysteresis Modeling",
   "zh": "气动人工肌肉迟滞建模",
   "level": "l3"
  },
  "CAP_7d0d8620": {
   "en": "Feedback Linearization (PAM)",
   "zh": "气动执行器反馈线性化",
   "level": "l3"
  },
  "CAP_02fb6c0c": {
   "en": "Super-Twisting SMC",
   "zh": "二阶滑模超扭控制",
   "level": "l3"
  },
  "CAP_c262d4a5": {
   "en": "Iterative Learning Control (P-type)",
   "zh": "P型迭代学习控制",
   "level": "l3"
  },
  "CAP_9fbba661": {
   "en": "Realtime Pressure Control",
   "zh": "实时压力闭环控制",
   "level": "l3"
  },
  "CAP_a370f267": {
   "en": "Pneumatic Muscle Impedance Control",
   "zh": "气动肌肉阻抗控制",
   "level": "l2"
  },
  "CAP_798a89de": {
   "en": "PAM Inverse Model with Hysteresis",
   "zh": "气动肌肉含迟滞逆模型",
   "level": "l3"
  },
  "CAP_74060097": {
   "en": "Antagonistic Stiffness Regulation",
   "zh": "拮抗刚度调节",
   "level": "l3"
  },
  "CAP_e7923478": {
   "en": "Soft Pneumatic Learning Control",
   "zh": "软体气动学习控制",
   "level": "l2"
  },
  "CAP_b793d20b": {
   "en": "Soft Actuator Dynamics Learning",
   "zh": "软体执行器动力学学习",
   "level": "l3"
  },
  "CAP_1465f11c": {
   "en": "Reinforcement Learning for Soft Pneumatics",
   "zh": "软体气动强化学习",
   "level": "l3"
  },
  "CAP_8a82c6d2": {
   "en": "Sim-to-Real Transfer (Domain Randomization)",
   "zh": "域随机化仿真到现实迁移",
   "level": "l3"
  },
  "CAP_beebc6b0": {
   "en": "Online Adaptive Residual Learning",
   "zh": "在线自适应残差学习",
   "level": "l3"
  },
  "CAP_8dddb616": {
   "en": "Soft Actuator Control Synthesis",
   "zh": "软体执行器控制指令合成",
   "level": "l3"
  },
  "CAP_a0590f63": {
   "en": "Geometric PnP Solver",
   "zh": "PnP几何鲁棒求解",
   "level": "l2"
  },
  "CAP_a7f9a57e": {
   "en": "PnP Degeneracy Detection",
   "zh": "PnP共面退化检测",
   "level": "l3"
  },
  "CAP_7358d160": {
   "en": "End-to-End Learning PnP",
   "zh": "端到端学习式PnP",
   "level": "l2"
  },
  "CAP_e024859a": {
   "en": "Uncertainty-Aware Correspondence",
   "zh": "不确定性感知对应",
   "level": "l3"
  },
  "CAP_fed5660c": {
   "en": "Neural Rendering Pose Alignment",
   "zh": "神经渲染隐式对齐位姿",
   "level": "l2"
  },
  "CAP_93be8daf": {
   "en": "Gaussian Splatting Pose Tracking",
   "zh": "3D高斯泼溅位姿跟踪",
   "level": "l3"
  },
  "CAP_c04bfbf3": {
   "en": "Centralized Predicate-based Filtering",
   "zh": "集中式谓词预选过滤",
   "level": "l2"
  },
  "CAP_4a2bb454": {
   "en": "Centralized Priority-based Scoring",
   "zh": "集中式优先级打分",
   "level": "l2"
  },
  "CAP_2685eb04": {
   "en": "Resource Reservation & Binding",
   "zh": "资源预留与绑定",
   "level": "l2"
  },
  "CAP_dea69de4": {
   "en": "Pod Reservation & Binding",
   "zh": "Pod预留与绑定",
   "level": "l3"
  },
  "CAP_09892adc": {
   "en": "Node Resource Filtering",
   "zh": "节点资源过滤",
   "level": "l3"
  },
  "CAP_06fb7270": {
   "en": "Topology Spread Scoring",
   "zh": "拓扑分布打分",
   "level": "l3"
  },
  "CAP_bfd466e5": {
   "en": "Inter-Pod Affinity Scheduling",
   "zh": "Pod间亲和性调度",
   "level": "l3"
  },
  "CAP_3f6178ac": {
   "en": "Volume Topology-aware Scheduling",
   "zh": "卷拓扑感知调度",
   "level": "l3"
  },
  "CAP_36ca3eec": {
   "en": "Node Affinity Scoring",
   "zh": "节点亲和性打分",
   "level": "l3"
  },
  "CAP_e56609c4": {
   "en": "Image Locality Prioritization",
   "zh": "镜像本地性优先",
   "level": "l3"
  },
  "CAP_9d8e1e43": {
   "en": "Pod Queue Prioritization",
   "zh": "Pod入队优先级排序",
   "level": "l3"
  },
  "CAP_c6192545": {
   "en": "MARL Scheduling Formulation",
   "zh": "MARL调度问题形式化",
   "level": "l2"
  },
  "CAP_9fd802b6": {
   "en": "Decentralized MARL Coordination",
   "zh": "去中心化MARL协同",
   "level": "l2"
  },
  "CAP_f66e0663": {
   "en": "MARL Scheduler Integration",
   "zh": "MARL调度器K8s集成",
   "level": "l2"
  },
  "CAP_74e81c2e": {
   "en": "MARL Scheduling Environment",
   "zh": "MARL调度模拟环境",
   "level": "l3"
  },
  "CAP_0b5a2eef": {
   "en": "Gossip Communication Protocol",
   "zh": "Gossip通信协议",
   "level": "l3"
  },
  "CAP_0d0f4ad5": {
   "en": "Action Mask Enforcer",
   "zh": "动作掩码执行器",
   "level": "l3"
  },
  "CAP_38c6caba": {
   "en": "Scheduling Intent Understanding",
   "zh": "调度意图理解",
   "level": "l2"
  },
  "CAP_de8876e8": {
   "en": "LLM Policy Synthesis",
   "zh": "LLM策略合成",
   "level": "l2"
  },
  "CAP_77ac0000": {
   "en": "Scheduling Policy Validation & Execution",
   "zh": "调度策略验证与执行",
   "level": "l2"
  },
  "CAP_f871430c": {
   "en": "Intent-to-Scheduling-Policy",
   "zh": "意图转调度策略",
   "level": "l3"
  },
  "CAP_fa8e3e2d": {
   "en": "Context-aware Topology Reasoning",
   "zh": "上下文感知拓扑推理",
   "level": "l3"
  },
  "CAP_3634a8f4": {
   "en": "Scheduling Policy Explanation",
   "zh": "调度策略解释",
   "level": "l3"
  },
  "CAP_29a627a4": {
   "en": "Adaptive Scheduling Prompt Optimization",
   "zh": "自适应调度Prompt优化",
   "level": "l3"
  },
  "CAP_d2b4868c": {
   "en": "Coordinate Frame Alignment for Pointing",
   "zh": "指向坐标系对齐",
   "level": "l3"
  },
  "CAP_3f802e98": {
   "en": "Geometric Pointing Direction Estimation Pipeline (RGB-D)",
   "zh": "几何法指向方向估计流水线（RGB-D）",
   "level": "l2"
  },
  "CAP_27840987": {
   "en": "Monocular Person Crop from Fixed-View Video",
   "zh": "固定视角视频人体裁剪",
   "level": "l3"
  },
  "CAP_dd3aadb4": {
   "en": "Spatio-Temporal Body Coordination Transformer",
   "zh": "时空身体协调 Transformer 编码器",
   "level": "l3"
  },
  "CAP_c38ff4c4": {
   "en": "Joint Pointing Recognition and 3D Direction Regression Head",
   "zh": "联合 pointing 识别与 3D 方向回归头",
   "level": "l3"
  },
  "CAP_b010fa93": {
   "en": "End-to-End Neural Pointing Direction Estimation (Monocular RGB)",
   "zh": "端到端神经指向方向估计（单目 RGB）",
   "level": "l2"
  },
  "CAP_86dd469c": {
   "en": "Gaussian Ray Heatmap Generation",
   "zh": "高斯射线热力图生成",
   "level": "l3"
  },
  "CAP_5903741f": {
   "en": "Virtual Touch Line (VTL) Prediction",
   "zh": "虚拟触摸线预测",
   "level": "l3"
  },
  "CAP_7239737e": {
   "en": "Geometric Consistency Loss for Pointing",
   "zh": "指向几何一致性损失",
   "level": "l3"
  },
  "CAP_7905e91c": {
   "en": "Attention-Dynamic Touch Line (ADTL) Selection",
   "zh": "注意力动态触摸线选择",
   "level": "l3"
  },
  "CAP_e0133695": {
   "en": "CLIP-Aware Pointing Ensemble (CAPE)",
   "zh": "CLIP 感知指向集成",
   "level": "l3"
  },
  "CAP_6af86cf8": {
   "en": "Geometry-Aware Neural Pointing Estimation (Monocular RGB)",
   "zh": "几何感知神经指向估计（单目 RGB）",
   "level": "l2"
  },
  "CAP_fd54a5f5": {
   "en": "Single-Candidate Confirmation",
   "zh": "单候选确认",
   "level": "l3"
  },
  "CAP_d04d4ed8": {
   "en": "No-Candidate Handling",
   "zh": "无候选处理",
   "level": "l3"
  },
  "CAP_a3bb07f1": {
   "en": "3D Object Detection and Centroid Extraction",
   "zh": "物体3D检测与质心提取",
   "level": "l3"
  },
  "CAP_32cb87b7": {
   "en": "Gaze-Pointing Multimodal Fusion Perception",
   "zh": "注视-指向多模态感知前端",
   "level": "l2"
  },
  "CAP_d25442ed": {
   "en": "Gaze-Pointing 3D POI Fusion",
   "zh": "注视-指向3D意图点融合",
   "level": "l2"
  },
  "CAP_e9f649b2": {
   "en": "Gaze-Pointing Conflict Resolution",
   "zh": "注视-指向冲突消解",
   "level": "l2"
  },
  "CAP_9d771870": {
   "en": "3D Gaze Direction Estimation",
   "zh": "3D视线方向估计",
   "level": "l3"
  },
  "CAP_ee598a93": {
   "en": "Gaze Fixation Detection",
   "zh": "注视点检测",
   "level": "l3"
  },
  "CAP_e8fa815d": {
   "en": "Gaze-Pointing Coordinate Frame Alignment",
   "zh": "视线-指向坐标系对齐",
   "level": "l3"
  },
  "CAP_f668a268": {
   "en": "Modality Confidence Estimation",
   "zh": "模态置信度估计",
   "level": "l3"
  },
  "CAP_bbdd3345": {
   "en": "Geometric Closest-Point POI Fusion",
   "zh": "几何最近点POI融合",
   "level": "l3"
  },
  "CAP_2bf25664": {
   "en": "Confidence-Weighted POI Fusion",
   "zh": "置信度加权POI融合",
   "level": "l3"
  },
  "CAP_82482d1f": {
   "en": "Learned Gaze-Pointing Fusion",
   "zh": "学习型视线-指向融合",
   "level": "l3"
  },
  "CAP_62cb5f1c": {
   "en": "Human-in-the-Loop Adaptive Fusion",
   "zh": "人在环路自适应融合",
   "level": "l3"
  },
  "CAP_2f367d54": {
   "en": "Temporal Gaze-Pointing Fusion",
   "zh": "视线-指向时序融合",
   "level": "l3"
  },
  "CAP_3e9bfe71": {
   "en": "LiDAR 3D Detection and Tracking",
   "zh": "室外LiDAR三维检测与跟踪",
   "level": "l2"
  },
  "CAP_a37dbc25": {
   "en": "3D Box Decode and NMS",
   "zh": "3D框解码与非极大值抑制",
   "level": "l3"
  },
  "CAP_b443bdd1": {
   "en": "Open-Vocabulary 3D Scene Understanding",
   "zh": "开放词汇3D场景理解",
   "level": "l2"
  },
  "CAP_d9e76670": {
   "en": "Multi-Scale Geometric Feature Extraction",
   "zh": "多尺度几何特征提取",
   "level": "l3"
  },
  "CAP_04fd1be1": {
   "en": "Local Neighborhood Encoding",
   "zh": "局部邻域几何编码",
   "level": "l3"
  },
  "CAP_7e59b7d4": {
   "en": "Density-Adaptive Multi-Scale Grouping",
   "zh": "密度自适应多尺度分组",
   "level": "l3"
  },
  "CAP_3661b927": {
   "en": "Efficient Large-Scale Point Sampling",
   "zh": "高效大规模点云采样",
   "level": "l3"
  },
  "CAP_56dcec3c": {
   "en": "Dynamic Graph & Adaptive Convolution Backbone",
   "zh": "动态图与自适应卷积骨干网络",
   "level": "l2"
  },
  "CAP_27f3f9c6": {
   "en": "Semantic-Aware Long-Range Dependency Modeling",
   "zh": "语义感知长距离依赖建模",
   "level": "l3"
  },
  "CAP_5f65ca25": {
   "en": "Adaptive Local Geometry Fitting",
   "zh": "自适应局部几何拟合",
   "level": "l3"
  },
  "CAP_5879bc64": {
   "en": "Permutation-Invariant Local Feature Aggregation",
   "zh": "置换不变局部特征聚合",
   "level": "l3"
  },
  "CAP_0dcd0b9c": {
   "en": "Deformable Kernel Point Adaptation",
   "zh": "可变形核点适配",
   "level": "l3"
  },
  "CAP_ac659824": {
   "en": "Multi-Scale Dynamic Neighborhood Fusion",
   "zh": "多尺度动态邻域特征融合",
   "level": "l3"
  },
  "CAP_178f4a1a": {
   "en": "Sparse Voxel Window Attention Backbone",
   "zh": "稀疏体素窗口注意力骨干网络",
   "level": "l2"
  },
  "CAP_c2c1a625": {
   "en": "Sparse Hierarchical Downsampling",
   "zh": "稀疏层级下采样",
   "level": "l3"
  },
  "CAP_6942763b": {
   "en": "Fully Sparse Detection Head",
   "zh": "全稀疏检测头",
   "level": "l3"
  },
  "CAP_3c1f0a11": {
   "en": "Voxel Downsampling & Outlier Removal",
   "zh": "体素降采样与离群点剔除",
   "level": "l3"
  },
  "CAP_e2511265": {
   "en": "M3C2 Cylinder Projection Distance Computation",
   "zh": "M3C2圆柱体投影鲁棒距离计算",
   "level": "l3"
  },
  "CAP_1db77917": {
   "en": "M3C2 Statistical Significance Test (LOD95)",
   "zh": "M3C2统计显著性检验(LOD95)",
   "level": "l3"
  },
  "CAP_0cd156b8": {
   "en": "Multi-frame Point Cloud Alignment",
   "zh": "多帧点云对齐",
   "level": "l3"
  },
  "CAP_b282c17a": {
   "en": "Point-Based Direct Segmentation Pipeline",
   "zh": "点基直接语义分割流水线",
   "level": "l2"
  },
  "CAP_c23ec649": {
   "en": "Point Cloud Preprocessing for Segmentation",
   "zh": "分割预处理",
   "level": "l3"
  },
  "CAP_ad267ef0": {
   "en": "Siamese Weight-Sharing Dual-Branch Encoder",
   "zh": "孪生共享权重双分支编码器",
   "level": "l3"
  },
  "CAP_be87fe0b": {
   "en": "Cross-Temporal Difference & Feature Fusion",
   "zh": "跨时相特征差分与融合",
   "level": "l3"
  },
  "CAP_3c6516ff": {
   "en": "KPConv UNet Decoder & Skip Upsampling",
   "zh": "KPConv UNet解码器与跳跃连接上采样",
   "level": "l3"
  },
  "CAP_2f636fd3": {
   "en": "3D Scene Feature Extraction",
   "zh": "3D场景特征提取",
   "level": "l3"
  },
  "CAP_712c9212": {
   "en": "Point-wise Multi-Class Change Classifier",
   "zh": "逐点多分类变化分类器",
   "level": "l3"
  },
  "CAP_2cfa5c4e": {
   "en": "LiDAR Obstacle Unsupervised Clustering",
   "zh": "激光雷达障碍物无监督聚类",
   "level": "l2"
  },
  "CAP_c7c99105": {
   "en": "Point Cloud Voxel Downsampling and ROI Crop",
   "zh": "点云体素降采样与ROI裁剪",
   "level": "l3"
  },
  "CAP_3f361466": {
   "en": "KD-Tree Spatial Index",
   "zh": "KD-Tree 空间索引构建",
   "level": "l3"
  },
  "CAP_3d02ff3c": {
   "en": "Adaptive Radius Clustering",
   "zh": "距离自适应聚类半径",
   "level": "l3"
  },
  "CAP_d3db203b": {
   "en": "Cluster Geometry Filter",
   "zh": "聚类几何后处理过滤",
   "level": "l3"
  },
  "CAP_e67c933f": {
   "en": "3D Connected Component Labeling",
   "zh": "体素三维连通分量标记",
   "level": "l3"
  },
  "CAP_13c79af3": {
   "en": "ROI Partition Clustering",
   "zh": "区域并行聚类",
   "level": "l3"
  },
  "CAP_f10161d9": {
   "en": "LiDAR Obstacle Geometry Feature Extraction",
   "zh": "障碍物实例几何特征提取",
   "level": "l3"
  },
  "CAP_fcb1ee6f": {
   "en": "Interactive Part Clustering",
   "zh": "室内可操作部件交互式聚类",
   "level": "l2"
  },
  "CAP_57b15a90": {
   "en": "Convexity-based Boundary Detection",
   "zh": "凸性连接边界检测",
   "level": "l3"
  },
  "CAP_35f15c09": {
   "en": "Local Convexity Region Growing Clustering",
   "zh": "局部凸性区域生长聚类",
   "level": "l3"
  },
  "CAP_e90c4c6f": {
   "en": "Interactive Part Template Filter",
   "zh": "交互部件模板筛选",
   "level": "l3"
  },
  "CAP_fa413c31": {
   "en": "Open Vocabulary 3D Clustering",
   "zh": "开放词汇点云语义实例聚类",
   "level": "l2"
  },
  "CAP_35c9dd19": {
   "en": "Adaptive Euclidean Clustering",
   "zh": "自适应欧氏聚类",
   "level": "l3"
  },
  "CAP_52a9c8df": {
   "en": "Open Vocabulary Semantic Matching",
   "zh": "开放词汇语义匹配",
   "level": "l3"
  },
  "CAP_d1926ff8": {
   "en": "Angle Criterion Boundary Detection",
   "zh": "角度准则边界点检测",
   "level": "l3"
  },
  "CAP_ac1e1dee": {
   "en": "Principal Curvature Estimation",
   "zh": "主曲率估计",
   "level": "l3"
  },
  "CAP_596e5151": {
   "en": "Multi-Scale Surface Variation Feature Detection",
   "zh": "多尺度曲面变化度特征点检测",
   "level": "l3"
  },
  "CAP_47725707": {
   "en": "MST-based Feature Line Extraction",
   "zh": "基于最小生成树的特征线提取",
   "level": "l3"
  },
  "CAP_d2225325": {
   "en": "Deep Learning Edge Point Classification",
   "zh": "深度学习边缘点分类",
   "level": "l3"
  },
  "CAP_d1ba84ff": {
   "en": "Sparse Convolution Point Feature Encoding",
   "zh": "稀疏卷积点特征编码",
   "level": "l3"
  },
  "CAP_5ee6bdec": {
   "en": "Point-wise Semantic and Offset Prediction",
   "zh": "逐点语义与中心偏移双分支预测",
   "level": "l3"
  },
  "CAP_6c7b3ffe": {
   "en": "3D Instance Mask Selection",
   "zh": "3D实例掩码选择",
   "level": "l3"
  },
  "CAP_501af139": {
   "en": "Learnable Instance Query Initialization",
   "zh": "可学习实例查询初始化",
   "level": "l3"
  },
  "CAP_9e0ae272": {
   "en": "Mask Transformer 3D Instance Prediction",
   "zh": "Mask Transformer三维实例预测",
   "level": "l3"
  },
  "CAP_676b3301": {
   "en": "Mask-Query Bipartite Matching and Mask Loss Training",
   "zh": "掩码查询二分图匹配与掩码损失训练",
   "level": "l3"
  },
  "CAP_0312c5cf": {
   "en": "3D Instance Segmentation Benchmark Evaluation",
   "zh": "三维实例分割基准评测",
   "level": "l3"
  },
  "CAP_07156892": {
   "en": "Scene Reconstruction and Multi-View Data Acquisition",
   "zh": "场景重建与多视角数据采集",
   "level": "l2"
  },
  "CAP_d1233b11": {
   "en": "3D and 2D Candidate Mask Generation",
   "zh": "3D与2D候选掩码生成",
   "level": "l2"
  },
  "CAP_48a0b94f": {
   "en": "Class-Agnostic 3D Instance Mask Prediction",
   "zh": "类无关3D实例掩码预测",
   "level": "l3"
  },
  "CAP_ea3f22d6": {
   "en": "SAM-Driven Open-Vocabulary Object Segmentation and Feature Extraction",
   "zh": "SAM驱动的开放词汇物体分割与特征提取",
   "level": "l3"
  },
  "CAP_98a67f1c": {
   "en": "Text Query 3D Instance Grounding",
   "zh": "文本查询3D实例接地",
   "level": "l3"
  },
  "CAP_2c2f3c6e": {
   "en": "Cluster Post-processing and BBox Fitting",
   "zh": "聚类后处理与边界框拟合",
   "level": "l3"
  },
  "CAP_abcca993": {
   "en": "Geometric Feature Semantic Label Classification",
   "zh": "几何特征语义标签分类",
   "level": "l3"
  },
  "CAP_3d2ac99b": {
   "en": "Inlier Outlier Separation",
   "zh": "内点外点分离与迭代提取",
   "level": "l3"
  },
  "CAP_19f61fde": {
   "en": "Normal-guided Region Growing Plane Segmentation",
   "zh": "法向量引导区域生长平面分割",
   "level": "l2"
  },
  "CAP_7624c89f": {
   "en": "Normal and Curvature Estimation",
   "zh": "法向量与曲率估计",
   "level": "l3"
  },
  "CAP_9f4b8aa2": {
   "en": "Smoothness Region Growing",
   "zh": "平滑约束区域生长",
   "level": "l3"
  },
  "CAP_00fb3bf5": {
   "en": "Planar Region Filtering",
   "zh": "平面区域过滤与检验",
   "level": "l3"
  },
  "CAP_b42ce541": {
   "en": "Plane Merging",
   "zh": "共面区域合并",
   "level": "l3"
  },
  "CAP_3f7d70e0": {
   "en": "Deep Learning Plane Detection",
   "zh": "深度学习平面检测",
   "level": "l2"
  },
  "CAP_78deeaf2": {
   "en": "DL Input Preprocessing",
   "zh": "深度学习输入预处理",
   "level": "l3"
  },
  "CAP_a3db26f4": {
   "en": "DL Backbone Feature Extraction",
   "zh": "深度骨干网络特征提取",
   "level": "l3"
  },
  "CAP_eb5dac4a": {
   "en": "Plane Instance Detection and Parameter Regression",
   "zh": "平面实例检测与参数回归",
   "level": "l3"
  },
  "CAP_562cdabe": {
   "en": "Plane Mask Segmentation",
   "zh": "平面mask分割/像素分配",
   "level": "l3"
  },
  "CAP_b86ec340": {
   "en": "DL Plane Post-processing",
   "zh": "深度学习平面后处理",
   "level": "l3"
  },
  "CAP_8289be52": {
   "en": "Point Cloud Preprocessing for Object Retrieval",
   "zh": "点云检索预处理",
   "level": "l3"
  },
  "CAP_851b9441": {
   "en": "Global Geometric Descriptor Extraction",
   "zh": "全局几何特征描述子提取",
   "level": "l2"
  },
  "CAP_7854e97f": {
   "en": "VFH/CVFH/OUR-CVFH Descriptor Extraction",
   "zh": "VFH相关描述子提取",
   "level": "l3"
  },
  "CAP_a5d69e5e": {
   "en": "ESF Descriptor Extraction",
   "zh": "ESF描述子提取",
   "level": "l3"
  },
  "CAP_46e5f05e": {
   "en": "Point Cloud Descriptor Database Indexing",
   "zh": "点云描述子数据库索引构建",
   "level": "l3"
  },
  "CAP_8dfbc9ff": {
   "en": "Geometric Consistency Verification for Object Recognition",
   "zh": "物体识别几何一致性验证",
   "level": "l3"
  },
  "CAP_7c1c5631": {
   "en": "Max-Pooling View Aggregation",
   "zh": "最大池化视图聚合",
   "level": "l3"
  },
  "CAP_cabb3e4d": {
   "en": "Attention or GCN View Aggregation",
   "zh": "注意力或图卷积视图聚合",
   "level": "l3"
  },
  "CAP_e806b196": {
   "en": "RangeNet DarkNet Encoder-Decoder",
   "zh": "RangeNet DarkNet编解码器",
   "level": "l3"
  },
  "CAP_8cba2bfd": {
   "en": "SalsaNext Dilated Residual Encoder-Decoder",
   "zh": "SalsaNext膨胀残差编解码器",
   "level": "l3"
  },
  "CAP_88dcbe0c": {
   "en": "Point Neighborhood Grouping (KNN/Ball Query)",
   "zh": "点邻域分组",
   "level": "l3"
  },
  "CAP_5d33b69c": {
   "en": "Point Transformer V3 Serialization Attention Encoder",
   "zh": "Point Transformer V3序列化注意力编码器",
   "level": "l3"
  },
  "CAP_a31d71f0": {
   "en": "Sparse Voxel Convolution Segmentation Pipeline",
   "zh": "稀疏体素卷积分割流水线",
   "level": "l2"
  },
  "CAP_c7a2a179": {
   "en": "MinkUNet Sparse 3D Convolution Backbone",
   "zh": "MinkUNet稀疏3D卷积骨干",
   "level": "l3"
  },
  "CAP_ea91058c": {
   "en": "Cylindrical 3D Asymmetrical Convolution",
   "zh": "柱面3D非对称卷积",
   "level": "l3"
  },
  "CAP_6b937c08": {
   "en": "SPVCNN Point-Voxel Hybrid Backbone",
   "zh": "SPVCNN点-体素混合骨干",
   "level": "l3"
  },
  "CAP_8f69eb42": {
   "en": "Voxel-to-Point Feature Projection",
   "zh": "体素到点特征投影",
   "level": "l3"
  },
  "CAP_2e95332f": {
   "en": "2D-3D Fusion Segmentation Pipeline",
   "zh": "2D-3D融合语义分割流水线",
   "level": "l2"
  },
  "CAP_3b60e3aa": {
   "en": "2D Image Semantic Encoder for Fusion",
   "zh": "面向融合的2D图像语义编码器",
   "level": "l3"
  },
  "CAP_cb4c92da": {
   "en": "Bidirectional Gated Fusion Unit",
   "zh": "双向门控融合单元",
   "level": "l3"
  },
  "CAP_f2b397d3": {
   "en": "PointPainting Semantic Score Augmentation",
   "zh": "PointPainting语义分数拼接",
   "level": "l3"
  },
  "CAP_48d868eb": {
   "en": "Supervoxel Input Preprocessing",
   "zh": "点云超体素输入预处理",
   "level": "l2"
  },
  "CAP_9cb3d65d": {
   "en": "Supervoxel Octree Voxelization and Seeding",
   "zh": "点云八叉树体素化与播种",
   "level": "l2"
  },
  "CAP_99518f18": {
   "en": "Supervoxel Seed Selection",
   "zh": "超体素空间均匀播种与噪声过滤",
   "level": "l3"
  },
  "CAP_3fd6f1eb": {
   "en": "VCCS Flow-Constrained Local k-means Clustering",
   "zh": "VCCS流约束局部k-means超体素聚类",
   "level": "l2"
  },
  "CAP_25ce9454": {
   "en": "VCCS Feature Distance",
   "zh": "VCCS特征距离计算",
   "level": "l3"
  },
  "CAP_d27158df": {
   "en": "Supervoxel Adjacency Extraction",
   "zh": "超体素邻接关系提取",
   "level": "l3"
  },
  "CAP_5b33e01f": {
   "en": "Point Cloud Load and Adjacency Graph Build",
   "zh": "点云加载与邻接图构建",
   "level": "l2"
  },
  "CAP_579c2af6": {
   "en": "Local Geometric Feature Aggregation",
   "zh": "局部几何特征聚合",
   "level": "l2"
  },
  "CAP_0207555a": {
   "en": "Local Geometric Feature Extraction",
   "zh": "局部几何特征提取（三维度特征）",
   "level": "l3"
  },
  "CAP_e33a9890": {
   "en": "Global Energy Supervoxel Partitioning",
   "zh": "基于全局能量与ℓ₀图割的超体素过分割",
   "level": "l2"
  },
  "CAP_f3f91c1c": {
   "en": "L0 Cut Pursuit Solve",
   "zh": "ℓ₀-cut pursuit 全局能量求解",
   "level": "l3"
  },
  "CAP_19527555": {
   "en": "Superpoint Connectivity Component Extraction",
   "zh": "超点连通分量提取",
   "level": "l3"
  },
  "CAP_46101ad4": {
   "en": "Superpoint Graph Organization",
   "zh": "超点图（SPG）组织",
   "level": "l2"
  },
  "CAP_b26adae4": {
   "en": "Superpoint Graph Construction",
   "zh": "超点图（SPG）构建",
   "level": "l3"
  },
  "CAP_0b46f26f": {
   "en": "SSP Supervised Partition",
   "zh": "监督超点生成SSP完整流水线",
   "level": "l2"
  },
  "CAP_7ace5d0b": {
   "en": "Local Point Embedder Inference",
   "zh": "局部点嵌入器网络推理",
   "level": "l2"
  },
  "CAP_4f879287": {
   "en": "LPE MLP Embedder",
   "zh": "LPE多层感知机嵌入计算",
   "level": "l3"
  },
  "CAP_3bbddf17": {
   "en": "Graph-Structured Contrastive Loss Training",
   "zh": "图结构对比损失训练",
   "level": "l2"
  },
  "CAP_2f4860a6": {
   "en": "GSCL Loss Computation",
   "zh": "图结构对比损失计算",
   "level": "l3"
  },
  "CAP_1b069b38": {
   "en": "Adaptive Edge Weight Computation",
   "zh": "嵌入自适应边权计算",
   "level": "l3"
  },
  "CAP_851df64f": {
   "en": "Biped Gripper Pole Climbing Control",
   "zh": "双爪交替夹持式杆件攀爬控制",
   "level": "l2"
  },
  "CAP_b2c9fdb4": {
   "en": "Pole Pose Detection for Grasping",
   "zh": "杆件位姿检测与抓夹规划",
   "level": "l3"
  },
  "CAP_19856bfb": {
   "en": "V-Gripper Force-Closure Grasping Control",
   "zh": "V 型手爪力封闭夹持控制",
   "level": "l3"
  },
  "CAP_47a12f85": {
   "en": "Biped Climbing Gait Coordination",
   "zh": "双爪攀爬步态协调",
   "level": "l3"
  },
  "CAP_53dc8454": {
   "en": "Biped Climbot IK & Energy-Optimal Trajectory Planning",
   "zh": "双爪爬杆机器人逆运动学与能量最优轨迹规划",
   "level": "l3"
  },
  "CAP_f2af126a": {
   "en": "V-Gripper Self-Alignment",
   "zh": "V 型手爪自对位",
   "level": "l3"
  },
  "CAP_2d8da218": {
   "en": "Distributed CANopen Joint Servo Control",
   "zh": "分布式 CANopen 关节伺服控制",
   "level": "l3"
  },
  "CAP_ea3fac56": {
   "en": "Gripper Slippage Detection & Safety Protection",
   "zh": "脱夹检测与安全保护",
   "level": "l3"
  },
  "CAP_df032245": {
   "en": "Wheeled Rolling Pole Climbing Control",
   "zh": "轮式压紧连续滚动杆件攀爬控制",
   "level": "l2"
  },
  "CAP_1257f236": {
   "en": "Wheel Compression Force Adaptation",
   "zh": "压紧轮正压力自适应调节",
   "level": "l3"
  },
  "CAP_1e3921ef": {
   "en": "Multi-Wheel Speed Synchronization & Attitude Maintenance",
   "zh": "多轮速度同步与姿态保持",
   "level": "l3"
  },
  "CAP_2565fab0": {
   "en": "Wheeled Climber Roll-Over Obstacle Traversal",
   "zh": "轮式攀爬滚越障碍控制",
   "level": "l3"
  },
  "CAP_6cb8a6ca": {
   "en": "Gravity-Offset Rolling Self-Locking Fall Protection",
   "zh": "重心偏置自锁防坠控制",
   "level": "l3"
  },
  "CAP_3351b1b5": {
   "en": "Cable Surface Inspection Data Acquisition",
   "zh": "缆索表面检测数据采集与同步",
   "level": "l3"
  },
  "CAP_69ecd4fa": {
   "en": "Serpentine Spiral Wrapping Pole Climbing Control",
   "zh": "蛇形螺旋缠绕杆件攀爬控制",
   "level": "l2"
  },
  "CAP_4f76607c": {
   "en": "Helical Backbone Curve Generation & Joint Discretization",
   "zh": "螺旋攀爬骨干曲线生成与关节离散化",
   "level": "l3"
  },
  "CAP_2d102ca8": {
   "en": "Elastic Envelope Force Analysis & Safe Climbing Control",
   "zh": "弹性包络力分析与安全攀爬控制",
   "level": "l3"
  },
  "CAP_c4c790dc": {
   "en": "Hyper-Redundant Snake Shape Closed-Loop Control",
   "zh": "超冗余蛇形形状闭环控制",
   "level": "l3"
  },
  "CAP_8f402875": {
   "en": "Obstacle-Aided Locomotion & Diameter Adaptation",
   "zh": "障碍辅助推进与变径适应",
   "level": "l3"
  },
  "CAP_0c8134b1": {
   "en": "Helical Roll Gait Control",
   "zh": "螺旋翻滚攀爬步态控制",
   "level": "l3"
  },
  "CAP_bb3aba78": {
   "en": "Serpenoid Creeping Wave Gait Control",
   "zh": "Serpenoid 蠕动攀爬步态控制",
   "level": "l3"
  },
  "CAP_f4662d9a": {
   "en": "Offline Logit Policy Distillation",
   "zh": "离线 Logit 策略蒸馏",
   "level": "l2"
  },
  "CAP_02db2a5c": {
   "en": "Temperature-Scaled Soft Target Generation",
   "zh": "温度缩放软目标生成",
   "level": "l3"
  },
  "CAP_67aa480d": {
   "en": "Temperature-Scaled KL Divergence Loss",
   "zh": "温度缩放 KL 散度蒸馏损失",
   "level": "l3"
  },
  "CAP_9f62e7e8": {
   "en": "Multi-Task Policy Distillation and Merging",
   "zh": "多任务策略蒸馏与合并",
   "level": "l3"
  },
  "CAP_54cf355e": {
   "en": "Online Distillation for Evolving Teacher Tracking",
   "zh": "在线蒸馏跟踪演化教师",
   "level": "l3"
  },
  "CAP_a3e5499c": {
   "en": "On-Policy RL-Guided Policy Distillation",
   "zh": "同策略强化学习引导策略蒸馏",
   "level": "l2"
  },
  "CAP_962c58ca": {
   "en": "Student On-Policy Rollout with Teacher Querying",
   "zh": "学生同策略轨迹采集与教师查询",
   "level": "l3"
  },
  "CAP_7667b2dc": {
   "en": "PPD KL Regularization with Importance Sampling Clipping",
   "zh": "PPD 带重要性采样裁剪的 KL 正则项",
   "level": "l3"
  },
  "CAP_e06d8abe": {
   "en": "MSE Action Mean Distillation for Gaussian Policies",
   "zh": "高斯策略 MSE 动作均值蒸馏",
   "level": "l3"
  },
  "CAP_914b8c36": {
   "en": "Adaptive Distillation Weight Scheduling",
   "zh": "蒸馏权重自适应调度",
   "level": "l3"
  },
  "CAP_97873944": {
   "en": "Imperfect Teacher Robust Distillation",
   "zh": "不完美教师鲁棒蒸馏",
   "level": "l3"
  },
  "CAP_158454ea": {
   "en": "Policy Reincarnation via On-Policy Distillation",
   "zh": "策略转世（小模型到大模型 on-policy 蒸馏）",
   "level": "l3"
  },
  "CAP_31425b93": {
   "en": "VLA Policy Distillation",
   "zh": "VLA 策略蒸馏",
   "level": "l2"
  },
  "CAP_64f84831": {
   "en": "VLA Teacher Rollout for Distillation Data",
   "zh": "VLA 教师推理生成蒸馏数据",
   "level": "l3"
  },
  "CAP_b8729643": {
   "en": "RL Specialist Policy Data Generation for VLA Fine-Tuning",
   "zh": "RL 专科策略数据生成用于 VLA 微调",
   "level": "l3"
  },
  "CAP_b26c2b47": {
   "en": "Hierarchical Chain-of-Thought Distillation for VLA",
   "zh": "VLA 分层思维链蒸馏",
   "level": "l3"
  },
  "CAP_a111e9f9": {
   "en": "VLM Semantic Guidance for VLA Distillation",
   "zh": "VLM 语义引导增强 VLA 蒸馏",
   "level": "l3"
  },
  "CAP_8fff4682": {
   "en": "Compact VLA Architecture for Edge Deployment",
   "zh": "面向边缘部署的紧凑 VLA 架构",
   "level": "l3"
  },
  "CAP_bde5dc87": {
   "en": "Instruction Paraphrase Augmentation for VLA Robustness",
   "zh": "指令转述增强提升 VLA 语言鲁棒性",
   "level": "l3"
  },
  "CAP_a1059caa": {
   "en": "Multi-View Temporal History Encoding for VLA",
   "zh": "VLA 双视角时序历史编码",
   "level": "l3"
  },
  "CAP_c5a55a91": {
   "en": "Privileged-to-Observable Sim-to-Real Policy Distillation",
   "zh": "特权信息到部署观测的 Sim-to-Real 策略蒸馏",
   "level": "l2"
  },
  "CAP_d5dce55c": {
   "en": "Asymmetric Actor-Critic for Sim-to-Real",
   "zh": "面向 Sim-to-Real 的非对称 Actor-Critic 训练",
   "level": "l3"
  },
  "CAP_016f7568": {
   "en": "Two-Stage Teacher-Student Distillation Pipeline",
   "zh": "两阶段教师-学生蒸馏流水线",
   "level": "l3"
  },
  "CAP_53b2cc2f": {
   "en": "Online DAgger Distillation for Sim-to-Real",
   "zh": "面向 Sim-to-Real 的在线 DAgger 蒸馏",
   "level": "l3"
  },
  "CAP_a2faae4a": {
   "en": "Privileged Latent Space Distillation",
   "zh": "特权隐空间蒸馏",
   "level": "l3"
  },
  "CAP_75c87237": {
   "en": "Actuator Network Distillation for Sim-to-Real",
   "zh": "面向 Sim-to-Real 的执行器网络蒸馏",
   "level": "l3"
  },
  "CAP_b9dd9396": {
   "en": "Observation History Stacking and Temporal Encoding for POMDP",
   "zh": "面向 POMDP 的观测历史堆叠与时序编码",
   "level": "l3"
  },
  "CAP_00ebfb30": {
   "en": "Privileged Sensor Real-World Distillation (PTLD-style)",
   "zh": "特权传感器真实世界蒸馏（PTLD 范式）",
   "level": "l3"
  },
  "CAP_e5456c69": {
   "en": "Asymmetric Actor-Critic Teacher Policy Training",
   "zh": "非对称 Actor-Critic 教师策略训练",
   "level": "l3"
  },
  "CAP_0ebc29c3": {
   "en": "Actuator Network System Identification",
   "zh": "执行器网络系统辨识",
   "level": "l3"
  },
  "CAP_5d7ccc93": {
   "en": "Privileged Student Distillation",
   "zh": "特权教师学生蒸馏",
   "level": "l3"
  },
  "CAP_3b181be3": {
   "en": "Tabular DP Policy Iteration Framework",
   "zh": "表格型动态规划策略迭代框架",
   "level": "l2"
  },
  "CAP_66a9fbc2": {
   "en": "Tabular Value Function Initialization",
   "zh": "表格型价值函数初始化",
   "level": "l3"
  },
  "CAP_12d4a64b": {
   "en": "Tabular Iterative Policy Evaluation",
   "zh": "表格型迭代策略评估",
   "level": "l3"
  },
  "CAP_3394ccac": {
   "en": "Bellman Expectation Backup Convergence Check",
   "zh": "Bellman期望备份收敛判据",
   "level": "l3"
  },
  "CAP_74adbf2b": {
   "en": "Greedy Policy Improvement",
   "zh": "贪心策略改进",
   "level": "l3"
  },
  "CAP_f1148b7b": {
   "en": "Policy Stability Check",
   "zh": "策略稳定性判定",
   "level": "l3"
  },
  "CAP_3719a5f5": {
   "en": "Policy Iteration Convergence Verification",
   "zh": "策略迭代收敛验证",
   "level": "l3"
  },
  "CAP_3a117c67": {
   "en": "Value Iteration Truncated Backup",
   "zh": "值迭代截断备份",
   "level": "l3"
  },
  "CAP_95047e8e": {
   "en": "Tabular Model-Free RL Control Framework",
   "zh": "表格型无模型RL控制框架",
   "level": "l2"
  },
  "CAP_13a0f451": {
   "en": "Monte Carlo Policy Evaluation",
   "zh": "蒙特卡洛策略评估",
   "level": "l3"
  },
  "CAP_71713963": {
   "en": "Expected SARSA Control",
   "zh": "期望SARSA控制",
   "level": "l3"
  },
  "CAP_0ee49e06": {
   "en": "Epsilon-Greedy Policy Improvement",
   "zh": "Epsilon-greedy策略改进",
   "level": "l3"
  },
  "CAP_d879643f": {
   "en": "GLIE Convergence Schedule",
   "zh": "GLIE收敛时间表",
   "level": "l3"
  },
  "CAP_5992cce7": {
   "en": "Tabular RL Convergence Evaluation",
   "zh": "表格RL收敛评估",
   "level": "l3"
  },
  "CAP_25a9591d": {
   "en": "Linear Q-Function Basis Design",
   "zh": "线性Q函数基函数设计",
   "level": "l3"
  },
  "CAP_68e4132c": {
   "en": "FQI Regressor Selection",
   "zh": "FQI回归器选择",
   "level": "l3"
  },
  "CAP_631aadbd": {
   "en": "Offline RL Dataset Preparation",
   "zh": "离线RL数据集准备",
   "level": "l3"
  },
  "CAP_1b3ac6af": {
   "en": "LSTDQ Least-Squares Temporal Difference",
   "zh": "LSTDQ最小二乘时序差分",
   "level": "l3"
  },
  "CAP_1421b5dc": {
   "en": "Fitted Q-Iteration Regression",
   "zh": "拟合Q迭代回归",
   "level": "l3"
  },
  "CAP_53c5318a": {
   "en": "Continuous Fitted Value Iteration",
   "zh": "连续拟合值迭代(cFVI/rFVI)",
   "level": "l3"
  },
  "CAP_566f8fea": {
   "en": "Approximate Greedy Policy Improvement",
   "zh": "近似贪心策略改进",
   "level": "l3"
  },
  "CAP_7b6bfa48": {
   "en": "Continuous Action Closed-Loop Policy Improvement",
   "zh": "连续动作闭式策略改进",
   "level": "l3"
  },
  "CAP_bc9417bb": {
   "en": "Approximate PI Convergence Check",
   "zh": "近似PI收敛判定",
   "level": "l3"
  },
  "CAP_8cd0efc4": {
   "en": "Vanilla Policy Gradient (REINFORCE)",
   "zh": "蒙特卡洛策略梯度（VPG/REINFORCE）",
   "level": "l2"
  },
  "CAP_3a50f540": {
   "en": "Discounted Return-to-Go Computation",
   "zh": "折扣回报计算（Reward-to-Go）",
   "level": "l3"
  },
  "CAP_ae81c5bd": {
   "en": "Value Function Fitting",
   "zh": "价值函数拟合（VPG基线训练）",
   "level": "l3"
  },
  "CAP_fcf34e7c": {
   "en": "TRPO Surrogate Objective Construction",
   "zh": "TRPO代理目标构建（重要性采样）",
   "level": "l3"
  },
  "CAP_42dacdfc": {
   "en": "Conjugate Gradient Solver For Trust Region",
   "zh": "信赖域共轭梯度求解",
   "level": "l3"
  },
  "CAP_f0ab2021": {
   "en": "TRPO Step Size Lagrange Multiplier",
   "zh": "TRPO步长拉格朗日乘子计算",
   "level": "l3"
  },
  "CAP_01024418": {
   "en": "TRPO GAE Advantage Estimation",
   "zh": "TRPO GAE优势估计（λ=1.0默认）",
   "level": "l3"
  },
  "CAP_5a2c3c5c": {
   "en": "TRPO Value Function Fitting",
   "zh": "TRPO价值函数拟合",
   "level": "l3"
  },
  "CAP_59bba31b": {
   "en": "Advantage Normalization",
   "zh": "优势函数标准化",
   "level": "l3"
  },
  "CAP_e9876a09": {
   "en": "PPO Value Function Training",
   "zh": "PPO价值函数训练（可选裁剪）",
   "level": "l3"
  },
  "CAP_1191993f": {
   "en": "Entropy Regularization Bonus",
   "zh": "熵正则化奖励",
   "level": "l3"
  },
  "CAP_a3f83ff6": {
   "en": "Gradient Clipping for RL",
   "zh": "RL训练梯度裁剪",
   "level": "l3"
  },
  "CAP_bfc75d3d": {
   "en": "Skill Codebook VQ-VAE Learning",
   "zh": "技能码本 VQ-VAE 学习",
   "level": "l3"
  },
  "CAP_b63ad302": {
   "en": "Sequential VAE Primitive Discovery",
   "zh": "顺序VAE原语发现（OPAL风格）",
   "level": "l3"
  },
  "CAP_55053c1a": {
   "en": "Skill Dynamics Model Learning",
   "zh": "技能动力学模型学习",
   "level": "l3"
  },
  "CAP_9db99c2a": {
   "en": "Residual Low-Level Policy Skill Adaptation",
   "zh": "残差低层策略技能适应",
   "level": "l3"
  },
  "CAP_31fe3ef8": {
   "en": "Skill-Space Model Predictive Planning",
   "zh": "技能空间模型预测规划",
   "level": "l3"
  },
  "CAP_42f0c1a9": {
   "en": "D4RL Offline Dataset Loading",
   "zh": "D4RL离线数据集加载",
   "level": "l3"
  },
  "CAP_0bed59b9": {
   "en": "Cross-Embodiment Latent Space Alignment",
   "zh": "跨本体潜空间对齐",
   "level": "l2"
  },
  "CAP_b15b4a24": {
   "en": "Source Domain Latent Policy Joint Training",
   "zh": "源域潜策略联合训练",
   "level": "l3"
  },
  "CAP_a99c992d": {
   "en": "Adversarial Cycle Consistency Domain Alignment",
   "zh": "对抗循环一致性对齐",
   "level": "l3"
  },
  "CAP_9bc74816": {
   "en": "Contrastive Latent Action Space Alignment",
   "zh": "对比潜动作空间对齐",
   "level": "l3"
  },
  "CAP_77669bae": {
   "en": "Latent Space Diffusion Policy for Cross-Embodiment",
   "zh": "跨本体潜空间扩散策略",
   "level": "l3"
  },
  "CAP_0dae63bf": {
   "en": "Segment-Aware Contrastive Latent Space",
   "zh": "分段觉察对比潜空间",
   "level": "l3"
  },
  "CAP_506d2cb3": {
   "en": "Goal-Conditioned CVAE Latent Policy",
   "zh": "目标条件CVAE潜策略",
   "level": "l3"
  },
  "CAP_f38a2a2b": {
   "en": "Geometry-Aware Latent Action Representation",
   "zh": "几何感知潜动作表示",
   "level": "l3"
  },
  "CAP_8cc8c480": {
   "en": "Unified Latent Retargeting Decoder",
   "zh": "统一潜重定向解码器",
   "level": "l3"
  },
  "CAP_f30dd4da": {
   "en": "VLA Latent Action Pretraining",
   "zh": "VLA潜动作预训练迁移",
   "level": "l2"
  },
  "CAP_a7cb7c82": {
   "en": "Video-Frame VQ-VAE Latent Action Tokenization",
   "zh": "视频帧VQ-VAE潜动作分词",
   "level": "l3"
  },
  "CAP_b7e539a4": {
   "en": "Physical-Mask Motion Decoupling",
   "zh": "物理掩码运动解耦",
   "level": "l3"
  },
  "CAP_87d255ba": {
   "en": "Hyperbolic Radial Latent Structure",
   "zh": "双曲径向潜动作结构",
   "level": "l3"
  },
  "CAP_162cc432": {
   "en": "Geometry-Aware Motion Latent",
   "zh": "几何感知运动潜码",
   "level": "l3"
  },
  "CAP_e8a2011f": {
   "en": "Intent-Perception Decoupled Adaptation",
   "zh": "意图-感知解耦少样本适配",
   "level": "l3"
  },
  "CAP_ad2494e8": {
   "en": "Social Relevance Filtering",
   "zh": "社交相关性过滤",
   "level": "l3"
  },
  "CAP_4d51b15d": {
   "en": "Asymmetric Gaussian Comfort Space Modeling",
   "zh": "非对称高斯舒适空间建模",
   "level": "l3"
  },
  "CAP_a99bfc97": {
   "en": "Parallel Multi-TEB Optimization",
   "zh": "并行多 TEB 优化",
   "level": "l3"
  },
  "CAP_567b0b9b": {
   "en": "Velocity Acceleration Constraint Encoding",
   "zh": "速度加速度约束编码",
   "level": "l3"
  },
  "CAP_5706cf5f": {
   "en": "Kinodynamic Optimization Feasibility Gate",
   "zh": "运动动力学优化可行性闸门",
   "level": "l3"
  },
  "CAP_556d4989": {
   "en": "Value-Based Policy Inference",
   "zh": "基于价值的策略推理",
   "level": "l3"
  },
  "CAP_18e0442e": {
   "en": "Imitation Learning for Socially Compliant Navigation Policy",
   "zh": "模仿学习社会合规导航策略",
   "level": "l3"
  },
  "CAP_04742b2b": {
   "en": "Deep Reinforcement Learning Proxemic Navigation",
   "zh": "深度强化学习近距导航",
   "level": "l3"
  },
  "CAP_bd214de1": {
   "en": "LLM-Based Social Reasoning for Behavior Prediction",
   "zh": "基于大语言模型的社交行为推理",
   "level": "l3"
  },
  "CAP_465a8d22": {
   "en": "LLM Social Judging",
   "zh": "LLM社交评判",
   "level": "l3"
  },
  "CAP_6438c468": {
   "en": "Reward-Aware Social Navigation Planning",
   "zh": "奖励感知社会导航规划",
   "level": "l3"
  },
  "CAP_5af0ef17": {
   "en": "VLM/LLM Semantic Assistance Reasoning Pipeline",
   "zh": "VLM/LLM语义推理辅助决策管线",
   "level": "l3"
  },
  "CAP_be989b1c": {
   "en": "Adaptive Budget Allocation",
   "zh": "自适应计算预算分配",
   "level": "l3"
  },
  "CAP_cdd1583c": {
   "en": "Online POMDP Tree Search",
   "zh": "在线POMDP树搜索",
   "level": "l2"
  },
  "CAP_08b788d0": {
   "en": "Implicit Belief Encoding",
   "zh": "隐式信念编码",
   "level": "l3"
  },
  "CAP_b3f813b2": {
   "en": "Uncertainty-triggered Replanning",
   "zh": "不确定性触发重规划",
   "level": "l3"
  },
  "CAP_6e952894": {
   "en": "Implicit Belief Distillation",
   "zh": "隐式信念蒸馏",
   "level": "l3"
  },
  "CAP_69613f8e": {
   "en": "Implicit Belief Perception",
   "zh": "隐式信念感知编码",
   "level": "l2"
  },
  "CAP_8eacf25b": {
   "en": "Implicit Belief Aggregation",
   "zh": "隐式信念时序聚合",
   "level": "l2"
  },
  "CAP_e347083f": {
   "en": "Implicit Policy Head",
   "zh": "隐式策略头",
   "level": "l2"
  },
  "CAP_6abffab5": {
   "en": "Execution and Belief Update",
   "zh": "执行与信念更新",
   "level": "l2"
  },
  "CAP_7a1c3e24": {
   "en": "Essential Graph Pose Optimization",
   "zh": "本质图位姿优化",
   "level": "l3"
  },
  "CAP_1da80166": {
   "en": "SE(d) Relative Pose Error Computation",
   "zh": "SE(d)相对位姿误差计算",
   "level": "l3"
  },
  "CAP_d2f6c3dc": {
   "en": "Levenberg-Marquardt Iterative Optimization",
   "zh": "Levenberg-Marquardt迭代优化",
   "level": "l3"
  },
  "CAP_6c96610c": {
   "en": "Gauss-Newton / Dogleg Optimization",
   "zh": "高斯-牛顿/Dogleg优化",
   "level": "l3"
  },
  "CAP_d41245f3": {
   "en": "Sparse Linear Solver for PGO",
   "zh": "PGO稀疏线性求解器",
   "level": "l3"
  },
  "CAP_775abced": {
   "en": "M-Estimator Robust Kernel for PGO",
   "zh": "M估计鲁棒核",
   "level": "l3"
  },
  "CAP_885f2a03": {
   "en": "Bayes Tree Construction from Factor Graph",
   "zh": "因子图到贝叶斯树构建",
   "level": "l3"
  },
  "CAP_33ba8f49": {
   "en": "Wildfire Fluid Relinearization",
   "zh": "Wildfire流体重线性化",
   "level": "l3"
  },
  "CAP_562509cf": {
   "en": "Incremental Variable Reordering",
   "zh": "增量变量重排序",
   "level": "l3"
  },
  "CAP_9689625e": {
   "en": "Bayes Tree Incremental Update (Detach/Reattach)",
   "zh": "贝叶斯树增量更新（分离/重挂）",
   "level": "l3"
  },
  "CAP_7e3424ae": {
   "en": "Incremental Back-Substitution",
   "zh": "增量后向替代求解",
   "level": "l3"
  },
  "CAP_f44660cc": {
   "en": "Variable Marginalization for Sliding Window",
   "zh": "滑动窗口变量边缘化",
   "level": "l3"
  },
  "CAP_286db588": {
   "en": "Certifiably Optimal SE-Sync PGO",
   "zh": "可验证全局最优SE-Sync位姿图优化",
   "level": "l2"
  },
  "CAP_9dda3d0e": {
   "en": "SE(d) Synchronization Problem Formulation",
   "zh": "SE(d)同步问题建模",
   "level": "l3"
  },
  "CAP_071f467b": {
   "en": "Semidefinite Relaxation for Rotation Synchronization",
   "zh": "旋转同步半正定松弛",
   "level": "l3"
  },
  "CAP_a4d8ad95": {
   "en": "Burer-Monteiro Low-Rank Parameterization",
   "zh": "Burer-Monteiro低秩参数化",
   "level": "l3"
  },
  "CAP_c4a40a34": {
   "en": "Riemannian Trust-Region Optimization on Oblique Manifold",
   "zh": "Oblique流形上的Riemannian信任域优化",
   "level": "l3"
  },
  "CAP_c854b95d": {
   "en": "Riemannian Staircase Rank Escalation",
   "zh": "Riemannian阶梯秩递增",
   "level": "l3"
  },
  "CAP_8d04fa0d": {
   "en": "Global Optimality Certificate Verification",
   "zh": "全局最优性证书验证",
   "level": "l3"
  },
  "CAP_2b059ee1": {
   "en": "Rounding to SE(d) Poses",
   "zh": "舍入恢复SE(d)位姿",
   "level": "l3"
  },
  "CAP_bcd83677": {
   "en": "Switchable Constraints (SC)",
   "zh": "可切换约束",
   "level": "l3"
  },
  "CAP_d03cb6c8": {
   "en": "Dynamic Covariance Scaling (DCS)",
   "zh": "动态协方差缩放",
   "level": "l3"
  },
  "CAP_9f79a466": {
   "en": "Max-Mixture Model",
   "zh": "最大混合模型",
   "level": "l3"
  },
  "CAP_d607f96e": {
   "en": "Pairwise Consistency Measurement (PCM)",
   "zh": "成对一致性测量",
   "level": "l3"
  },
  "CAP_1c1ff2e7": {
   "en": "RRR Consistency Check",
   "zh": "RRR一致性检验",
   "level": "l3"
  },
  "CAP_6af59b26": {
   "en": "GNC-TLS Graduated Non-Convexity for Robust PGO",
   "zh": "GNC-TLS渐进非凸鲁棒PGO",
   "level": "l3"
  },
  "CAP_fe2ae145": {
   "en": "Cartesian Pose Error And Control For PBVS",
   "zh": "笛卡尔位姿误差与 PBVS 控制",
   "level": "l2"
  },
  "CAP_8ec373b4": {
   "en": "Model-Based Initialization Detection",
   "zh": "模型跟踪初始化",
   "level": "l3"
  },
  "CAP_67dbb57e": {
   "en": "CAD Model Rendering And Feature Projection",
   "zh": "CAD 模型渲染与特征投影",
   "level": "l3"
  },
  "CAP_c04e31eb": {
   "en": "DNN Inference For 6D Pose",
   "zh": "面向 6D 位姿估计的深度神经网络推理",
   "level": "l3"
  },
  "CAP_4d7cb5d6": {
   "en": "Ergonomic Load Quantification",
   "zh": "REBA RULA 工效学负荷量化",
   "level": "l3"
  },
  "CAP_d89aa007": {
   "en": "Human Detection BBox",
   "zh": "人体检测与边界框提取",
   "level": "l3"
  },
  "CAP_e5952a0f": {
   "en": "Safety Rule Evaluation and Alert",
   "zh": "安全规则评估与告警",
   "level": "l3"
  },
  "CAP_69d94b17": {
   "en": "Wearable IMU-based Industrial Activity Recognition",
   "zh": "穿戴式IMU工业活动识别",
   "level": "l2"
  },
  "CAP_a4916d8e": {
   "en": "Wearable Inertial ADL Signal Acquisition",
   "zh": "穿戴式惯性ADL信号采集",
   "level": "l3"
  },
  "CAP_2c7820c4": {
   "en": "Sliding Window Segmentation for Inertial HAR",
   "zh": "惯性HAR滑动窗口分割",
   "level": "l3"
  },
  "CAP_d7b111a3": {
   "en": "Temporal Smoothing and Safety Alert",
   "zh": "时序平滑与工业安全告警",
   "level": "l3"
  },
  "CAP_b6a81679": {
   "en": "RGB-based Ergonomic Posture Assessment",
   "zh": "基于RGB视频的工效学姿态评估",
   "level": "l2"
  },
  "CAP_9952fd2d": {
   "en": "RGB Person Detection for Ergonomics",
   "zh": "工效场景RGB人体检测与ROI裁剪",
   "level": "l3"
  },
  "CAP_beb2eae7": {
   "en": "Keypoint Temporal Smoothing for Ergonomics",
   "zh": "工效评估关键点时序平滑",
   "level": "l3"
  },
  "CAP_63852ce8": {
   "en": "Joint Angle Computation for Ergonomics",
   "zh": "工效评估关节角度计算",
   "level": "l3"
  },
  "CAP_e5f8f949": {
   "en": "Ergonomic Risk Alert and Reporting",
   "zh": "工效风险告警与可视化上报",
   "level": "l3"
  },
  "CAP_461cdafd": {
   "en": "Multi-View 3D Pose Safety Monitoring",
   "zh": "多视角3D姿态安全监控",
   "level": "l2"
  },
  "CAP_8479cbd4": {
   "en": "Multi-Camera Synchronized Capture",
   "zh": "多相机同步采集",
   "level": "l3"
  },
  "CAP_e5702cd9": {
   "en": "Multi-View 2D Pose Detection",
   "zh": "多视角2D姿态并行检测",
   "level": "l3"
  },
  "CAP_fb9bfabb": {
   "en": "Multi-View Keypoint Matching",
   "zh": "跨视角关键点匹配",
   "level": "l3"
  },
  "CAP_1c7e8403": {
   "en": "Multi-View 3D Temporal Smoothing",
   "zh": "3D关键点时序平滑",
   "level": "l3"
  },
  "CAP_e2f4475a": {
   "en": "Multi-View 3D Kinematic Optimization",
   "zh": "3D骨架运动学约束优化",
   "level": "l3"
  },
  "CAP_d0e1a1e2": {
   "en": "Robot Joint State Acquisition for Safety",
   "zh": "安全监控机器人状态获取",
   "level": "l3"
  },
  "CAP_d17ed29f": {
   "en": "Prototype-Based Policy Explanation (ProtoX)",
   "zh": "基于原型的策略解释（ProtoX）",
   "level": "l3"
  },
  "CAP_54109120": {
   "en": "Execution Trace Post-Hoc NLG Explanation",
   "zh": "执行轨迹事后自然语言解释",
   "level": "l2"
  },
  "CAP_0fab1a6c": {
   "en": "Multimodal Robot Execution Logging with Event Annotation",
   "zh": "带事件标注的多模态机器人执行日志记录",
   "level": "l3"
  },
  "CAP_d180e1c8": {
   "en": "Post-Hoc Action Narrative Generation",
   "zh": "事后动作叙述生成",
   "level": "l3"
  },
  "CAP_9526abad": {
   "en": "Contrastive Query Parsing & Fact-Foil Anchoring",
   "zh": "对比问题解析与事实-对照锚定",
   "level": "l3"
  },
  "CAP_4aac6b87": {
   "en": "Actionable Recourse Generation",
   "zh": "可行动纠正建议生成",
   "level": "l3"
  },
  "CAP_a3290a1e": {
   "en": "Counterfactual Outcome Estimation",
   "zh": "反事实结果估计",
   "level": "l3"
  },
  "CAP_571cc976": {
   "en": "Post-Hoc Policy Distillation & Symbolic Explanation",
   "zh": "事后策略蒸馏与符号解释",
   "level": "l2"
  },
  "CAP_168dd490": {
   "en": "VIPER/Q-DAGGER Decision Tree Extraction",
   "zh": "基于VIPER/Q-DAGGER的决策树策略提取",
   "level": "l3"
  },
  "CAP_a419fa91": {
   "en": "Multi-Scenario Policy Distillation with Retraining-Free Tree Patching",
   "zh": "多场景策略蒸馏与无重训练树修补",
   "level": "l3"
  },
  "CAP_388e7384": {
   "en": "Oblique Decision Tree Extraction for Continuous Actions",
   "zh": "面向连续动作的斜决策树提取",
   "level": "l3"
  },
  "CAP_f70ae236": {
   "en": "Weighted STL Specification Inference for Policy Explanation",
   "zh": "面向策略解释的加权STL规约推断",
   "level": "l3"
  },
  "CAP_d2c2d121": {
   "en": "Formal Safety Verification of Extracted Symbolic Policies",
   "zh": "提取符号策略的形式化安全验证",
   "level": "l3"
  },
  "CAP_43f37928": {
   "en": "PTQ Pipeline Orchestration",
   "zh": "训练后量化流水线编排",
   "level": "l2"
  },
  "CAP_164aba8e": {
   "en": "Calibration Dataset Preparation",
   "zh": "校准数据集准备",
   "level": "l3"
  },
  "CAP_907dede7": {
   "en": "Activation Range Calibration",
   "zh": "激活范围校准（Observer统计）",
   "level": "l3"
  },
  "CAP_f8289346": {
   "en": "Static Weight Quantization",
   "zh": "静态权重量化",
   "level": "l3"
  },
  "CAP_3ecda61d": {
   "en": "Static Activation Quantization",
   "zh": "静态激活量化",
   "level": "l3"
  },
  "CAP_ab10c3fd": {
   "en": "QDQ Node Insertion and Graph Transformation",
   "zh": "Q/DQ节点插入与图转换",
   "level": "l3"
  },
  "CAP_a604a612": {
   "en": "Quantization Accuracy Evaluation",
   "zh": "量化精度评估",
   "level": "l3"
  },
  "CAP_a5676d19": {
   "en": "Mixed Precision Fallback",
   "zh": "混合精度回退",
   "level": "l3"
  },
  "CAP_106b0397": {
   "en": "LLM PTQ Pipeline Orchestration",
   "zh": "LLM训练后量化流水线编排",
   "level": "l2"
  },
  "CAP_f22292b7": {
   "en": "GPTQ Second-Order Layer-wise Quantization",
   "zh": "GPTQ二阶逐层量化",
   "level": "l3"
  },
  "CAP_2215b2af": {
   "en": "AWQ Activation-Aware Weight Protection",
   "zh": "AWQ激活感知权重保护",
   "level": "l3"
  },
  "CAP_11a82738": {
   "en": "SmoothQuant Outlier Migration",
   "zh": "SmoothQuant离群值通道平滑",
   "level": "l3"
  },
  "CAP_75c58a01": {
   "en": "LLM Int8 Mixed Outlier Decomposition",
   "zh": "LLM.int8混合精度离群分解",
   "level": "l3"
  },
  "CAP_5ba60356": {
   "en": "FP8 E4M3 Quantization",
   "zh": "FP8 E4M3训练后量化",
   "level": "l3"
  },
  "CAP_cce055fe": {
   "en": "Quantized Linear Kernel Compilation",
   "zh": "量化Linear层kernel编译与加载",
   "level": "l3"
  },
  "CAP_679cd4f4": {
   "en": "K-quant Type Selection",
   "zh": "K-quant位宽与分级选择",
   "level": "l3"
  },
  "CAP_096d7488": {
   "en": "Importance Matrix Generation",
   "zh": "Importance Matrix重要性矩阵生成",
   "level": "l3"
  },
  "CAP_2373abce": {
   "en": "K-quant Weight Compression",
   "zh": "K-quant混合精度权重量化压缩",
   "level": "l3"
  },
  "CAP_5af3ca18": {
   "en": "APF Oscillation Detection",
   "zh": "APF振荡检测",
   "level": "l3"
  },
  "CAP_c6af616e": {
   "en": "Laplace Equation Boundary Condition Setup",
   "zh": "Laplace方程边界条件设定",
   "level": "l3"
  },
  "CAP_ec180bb4": {
   "en": "Harmonic Potential PDE Solving",
   "zh": "谐波势场PDE求解",
   "level": "l3"
  },
  "CAP_4e51cd07": {
   "en": "HPF Gradient Computation",
   "zh": "谐波势场梯度计算",
   "level": "l3"
  },
  "CAP_9d9e9180": {
   "en": "HPF Streamline Path Following",
   "zh": "HPF流线跟踪与运动学约束",
   "level": "l3"
  },
  "CAP_d146793b": {
   "en": "Harmonic Potential Field Navigation",
   "zh": "谐波势场导航",
   "level": "l2"
  },
  "CAP_18eb577f": {
   "en": "NavFn AStar Heuristic Propagation",
   "zh": "NavFn A*启发式势场传播",
   "level": "l3"
  },
  "CAP_95c99c2e": {
   "en": "Bug Boundary Traversal",
   "zh": "Bug边界遍历",
   "level": "l3"
  },
  "CAP_9bd2b3b6": {
   "en": "Virtual Target Point Escape",
   "zh": "虚拟目标点逃逸",
   "level": "l3"
  },
  "CAP_a4366ab2": {
   "en": "Vortex Rotational Force APF Escape",
   "zh": "涡旋/旋转力场APF逃逸",
   "level": "l3"
  },
  "CAP_d6b2c854": {
   "en": "Global Planner Guided APF Escape",
   "zh": "全局规划器引导APF逃逸",
   "level": "l3"
  },
  "CAP_4481476b": {
   "en": "Adaptive APF Parameter Tuning",
   "zh": "APF自适应参数整定",
   "level": "l3"
  },
  "CAP_0c850cba": {
   "en": "Hybrid APF Local Minima Escape Navigation",
   "zh": "混合APF局部极小逃逸导航",
   "level": "l2"
  },
  "CAP_edc4a4d2": {
   "en": "Visual Perception for Pouring",
   "zh": "倾倒视觉感知伞形能力",
   "level": "l2"
  },
  "CAP_96d31cad": {
   "en": "Liquid Pixel Detection",
   "zh": "液体像素检测/分割",
   "level": "l3"
  },
  "CAP_43f543af": {
   "en": "Liquid Volume Estimation",
   "zh": "液体体积/液位/距离估计",
   "level": "l3"
  },
  "CAP_2dd998e4": {
   "en": "PID Tilt Control",
   "zh": "PID倾倒倾角控制",
   "level": "l3"
  },
  "CAP_90546496": {
   "en": "CFD Fluid Simulation",
   "zh": "计算流体动力学仿真伞形能力",
   "level": "l2"
  },
  "CAP_c9c1c1b9": {
   "en": "Free Surface and Outflow Estimation",
   "zh": "自由表面与流出估计",
   "level": "l3"
  },
  "CAP_4e0de852": {
   "en": "Pouring Trajectory Optimization",
   "zh": "倾倒轨迹优化",
   "level": "l3"
  },
  "CAP_01460ae6": {
   "en": "Slosh Induction Control",
   "zh": "晃动诱导控制（SIM）",
   "level": "l3"
  },
  "CAP_262284d8": {
   "en": "Multimodal Imitation Learning for Pouring",
   "zh": "多模态模仿学习倾倒伞形能力",
   "level": "l2"
  },
  "CAP_661a3211": {
   "en": "Multimodal Demonstration Collection",
   "zh": "多模态倾倒演示采集",
   "level": "l3"
  },
  "CAP_c1ea3b2c": {
   "en": "Demonstration Trajectory Encoding",
   "zh": "示教倾倒轨迹编码（GMM/DMP/Options）",
   "level": "l3"
  },
  "CAP_ebad9fb7": {
   "en": "Multimodal Perception-Action Policy",
   "zh": "多模态感知-动作倾倒策略",
   "level": "l3"
  },
  "CAP_218bd308": {
   "en": "Time-Contrastive Self-Supervised Pretraining",
   "zh": "时间对比自监督预训练（TCN）",
   "level": "l3"
  },
  "CAP_b5abf72b": {
   "en": "Pouring State Estimation from Multimodal Cues",
   "zh": "多模态cue倾倒状态估计",
   "level": "l3"
  },
  "CAP_bcf295bd": {
   "en": "Tactile-Proprioceptive Pouring",
   "zh": "触觉-本体感觉倾倒（Pouring by Feel）",
   "level": "l3"
  },
  "CAP_fbcea502": {
   "en": "Pouring Termination Check from Multimodal Cues",
   "zh": "多模态cue倾倒终止判断",
   "level": "l3"
  },
  "CAP_6395dc11": {
   "en": "Differentiable Fluid Simulation RL for Pouring",
   "zh": "可微仿真强化学习倾倒伞形能力",
   "level": "l2"
  },
  "CAP_87eae83d": {
   "en": "Differentiable Fluid Simulator Setup",
   "zh": "可微流体仿真环境搭建",
   "level": "l3"
  },
  "CAP_2ea932f1": {
   "en": "RL Reward Design for Pouring",
   "zh": "倾倒强化学习奖励函数设计",
   "level": "l3"
  },
  "CAP_c108c46f": {
   "en": "Model-Free RL Policy Training for Fluid",
   "zh": "流体操作无模型强化学习策略训练",
   "level": "l3"
  },
  "CAP_d5e5baca": {
   "en": "Sim-to-Real Domain Randomization for Pouring",
   "zh": "倾倒仿真-真实域随机化与迁移",
   "level": "l3"
  },
  "CAP_6bc15369": {
   "en": "Guided RL with Shared Control Templates",
   "zh": "共享控制模板引导强化学习",
   "level": "l3"
  },
  "CAP_7b0b07ef": {
   "en": "Fluid Manipulation Policy Deployment",
   "zh": "流体操作策略部署",
   "level": "l3"
  },
  "CAP_c3f5ab69": {
   "en": "Pouring Termination Check",
   "zh": "倾倒终止判断",
   "level": "l3"
  },
  "CAP_5007d1f0": {
   "en": "Torque-Controlled Screwdriving",
   "zh": "扭矩控制锁螺丝",
   "level": "l2"
  },
  "CAP_74ef1fe2": {
   "en": "Pressure-Foot Drilling with Thrust Control",
   "zh": "压脚推力控制航空制孔",
   "level": "l2"
  },
  "CAP_bb66e302": {
   "en": "Surgical Powered Tool Vibration-Acoustic Feedback Control",
   "zh": "手术动力工具振动声反馈安全控制",
   "level": "l2"
  },
  "CAP_3aa75a3b": {
   "en": "Active Constant-Force Servoing",
   "zh": "主动恒力伺服控制",
   "level": "l3"
  },
  "CAP_8f885672": {
   "en": "Tool Normal Orientation Adaptation",
   "zh": "工具法向姿态随动",
   "level": "l3"
  },
  "CAP_2a7b00db": {
   "en": "Spindle-Feed Coordination",
   "zh": "主轴进给协调控制",
   "level": "l3"
  },
  "CAP_6927acee": {
   "en": "Screw Feeding and Vacuum Pickup",
   "zh": "螺丝送料与真空拾取",
   "level": "l3"
  },
  "CAP_d19425f0": {
   "en": "Embedded Z-Axis Fastening",
   "zh": "嵌入式Z轴锁付",
   "level": "l3"
  },
  "CAP_22589a95": {
   "en": "Torque-Controlled Tightening",
   "zh": "扭矩控制拧紧",
   "level": "l3"
  },
  "CAP_10c93335": {
   "en": "Screw Seating Detection",
   "zh": "螺丝到位检测",
   "level": "l3"
  },
  "CAP_4e652564": {
   "en": "Screwdriving Anomaly Detection",
   "zh": "锁付异常检测",
   "level": "l3"
  },
  "CAP_91f8a6de": {
   "en": "Assembly Data Logging",
   "zh": "装配数据记录与追溯",
   "level": "l3"
  },
  "CAP_339e4335": {
   "en": "Hole Position Visual Measurement",
   "zh": "孔位视觉测量",
   "level": "l3"
  },
  "CAP_fa426dda": {
   "en": "Surface Normal Measurement",
   "zh": "表面法向测量",
   "level": "l3"
  },
  "CAP_051bda09": {
   "en": "Binary Spindle Normal Adjustment",
   "zh": "主轴二元法向调姿",
   "level": "l3"
  },
  "CAP_bed23289": {
   "en": "Pressure Foot Pneumatic Servo",
   "zh": "压脚气动伺服压紧",
   "level": "l3"
  },
  "CAP_5fd024e0": {
   "en": "High-Bandwidth Thrust Force Drilling",
   "zh": "高带宽推力控制钻削",
   "level": "l3"
  },
  "CAP_e13fc07c": {
   "en": "Countersink Depth Control",
   "zh": "锪窝深度控制",
   "level": "l3"
  },
  "CAP_cb56a83b": {
   "en": "Stack Material Parameter Adaptation",
   "zh": "叠层材料参数自适应",
   "level": "l3"
  },
  "CAP_45f72f18": {
   "en": "Hole Quality Online Evaluation",
   "zh": "孔质量在线评估",
   "level": "l3"
  },
  "CAP_1dc33820": {
   "en": "Drilling Vibration/Acoustic Sensing",
   "zh": "骨钻削振动/声信号传感",
   "level": "l3"
  },
  "CAP_e51c12a2": {
   "en": "Multi-Layer State Recognition",
   "zh": "骨多层结构状态辨识",
   "level": "l3"
  },
  "CAP_0f957afd": {
   "en": "Drill Depth Safety Stop",
   "zh": "钻削深度安全停机",
   "level": "l3"
  },
  "CAP_f84202e6": {
   "en": "Feed Force Feedback",
   "zh": "进给力反馈控制",
   "level": "l3"
  },
  "CAP_8da48a9f": {
   "en": "Plunge Velocity Adaptive Control",
   "zh": "进给速度自适应控制",
   "level": "l3"
  },
  "CAP_94b32fe1": {
   "en": "Milling Temperature Estimation",
   "zh": "骨铣削温度估计",
   "level": "l3"
  },
  "CAP_8442e905": {
   "en": "Bone Cut Haptic Guidance",
   "zh": "骨切削触觉反馈引导",
   "level": "l3"
  },
  "CAP_afa9f080": {
   "en": "IPA PID Temperature Error Closed-Loop",
   "zh": "IPA PID 温差功率闭环",
   "level": "l3"
  },
  "CAP_2972fb3b": {
   "en": "IPA Weighted Power Distribution with Excess Redistribution",
   "zh": "IPA 加权功率分配与超额再分配",
   "level": "l3"
  },
  "CAP_60694d7b": {
   "en": "Power-Cooling State Bidirectional Mapping",
   "zh": "功率-冷却状态双向映射",
   "level": "l3"
  },
  "CAP_d860f36e": {
   "en": "IPA Thermal Zone DTS Configuration Validation",
   "zh": "IPA Thermal Zone DTS 配置校验",
   "level": "l3"
  },
  "CAP_9965441c": {
   "en": "Cooling Device Requested Power Estimation",
   "zh": "冷却设备请求功率估算",
   "level": "l3"
  },
  "CAP_d03e7327": {
   "en": "cpufreq Cooling Device Control",
   "zh": "CPU 频率冷却设备控制",
   "level": "l3"
  },
  "CAP_5e5f9c4c": {
   "en": "devfreq Cooling Device Control",
   "zh": "设备频率冷却设备控制",
   "level": "l3"
  },
  "CAP_c09e23ee": {
   "en": "Intel RAPL Power Capping Configuration",
   "zh": "Intel RAPL 功率封顶配置",
   "level": "l3"
  },
  "CAP_da659f5a": {
   "en": "NVIDIA GPU Power Management Limit Setting",
   "zh": "NVIDIA GPU 功率管理限制设定",
   "level": "l3"
  },
  "CAP_3c014f6f": {
   "en": "cpufreq Frequency Limit Setting",
   "zh": "cpufreq 频率上下限设定",
   "level": "l3"
  },
  "CAP_d8b4a158": {
   "en": "Task-Aware Cross-Subsystem Power Budget Orchestration",
   "zh": "任务感知跨子系统功率预算编排",
   "level": "l2"
  },
  "CAP_922a1ca6": {
   "en": "Android ADPF PerformanceHintSession Task Performance Hint",
   "zh": "Android ADPF PerformanceHintSession 任务性能提示",
   "level": "l3"
  },
  "CAP_e6c1415d": {
   "en": "Android PowerHAL Power Hint Translation and Execution",
   "zh": "Android PowerHAL 功率提示转换与执行",
   "level": "l3"
  },
  "CAP_316006c7": {
   "en": "Task-Level CPU Utilization Clamp (uclamp) Configuration",
   "zh": "任务级 CPU 利用率钳位 uclamp 配置",
   "level": "l3"
  },
  "CAP_ea1ca13d": {
   "en": "PM QoS CPU Latency Constraint Configuration",
   "zh": "PM QoS CPU 延迟约束配置",
   "level": "l3"
  },
  "CAP_8f20237e": {
   "en": "FeralInteractive GameMode Game/High-Load Performance Mode",
   "zh": "FeralInteractive GameMode 游戏/高负载性能模式",
   "level": "l3"
  },
  "CAP_b41dbe59": {
   "en": "Linux EAS Energy-Aware Task Placement Configuration",
   "zh": "Linux EAS 能量感知任务放置配置",
   "level": "l3"
  },
  "CAP_f127ee12": {
   "en": "FixedPointThermalErrorComputation",
   "zh": "定点温差计算",
   "level": "l3"
  },
  "CAP_ddfdbb71": {
   "en": "ThermalZoneIPAConfigValidation",
   "zh": "Thermal Zone IPA 配置校验",
   "level": "l3"
  },
  "CAP_ce1ec831": {
   "en": "IntelDTTWorkloadAwarePowerOrchestration",
   "zh": "Intel DTT 工作负载感知功耗编排",
   "level": "l3"
  },
  "CAP_f48f57f8": {
   "en": "ThermalInstanceWeightedPowerAggregation",
   "zh": "热实例加权功率聚合",
   "level": "l3"
  },
  "CAP_5ac4a811": {
   "en": "GPU Power Limit Configuration",
   "zh": "GPU功率限制配置",
   "level": "l3"
  },
  "CAP_8dd4d5d6": {
   "en": "Shape Primitive Decomposition and Preshape",
   "zh": "形状基元分解与预设型选择",
   "level": "l2"
  },
  "CAP_7a5f30d3": {
   "en": "Preshape and Approach Selection",
   "zh": "预设型与接近方向选择",
   "level": "l3"
  },
  "CAP_d98c4acd": {
   "en": "Eigengrasp to Joint Mapping",
   "zh": "本征抓取到关节空间映射",
   "level": "l3"
  },
  "CAP_7a2da2ae": {
   "en": "Underactuated Hand Preshape and Approach",
   "zh": "欠驱动手预设型与接近",
   "level": "l2"
  },
  "CAP_bff3a0a7": {
   "en": "Object Geometry Perception for Grasping",
   "zh": "抓取物体几何感知",
   "level": "l3"
  },
  "CAP_1130eba9": {
   "en": "Underactuated Preshape Selection",
   "zh": "欠驱动手预设型选择",
   "level": "l3"
  },
  "CAP_51bda975": {
   "en": "Arm Approach Motion",
   "zh": "机械臂接近运动",
   "level": "l3"
  },
  "CAP_93a285d0": {
   "en": "Differential Mechanism Actuation",
   "zh": "差动机构驱动",
   "level": "l3"
  },
  "CAP_8e0ffd3d": {
   "en": "Contact Detection and Adaptive Stalling",
   "zh": "接触检测与自适应停转",
   "level": "l3"
  },
  "CAP_2aad1681": {
   "en": "Envelope Formation Verification",
   "zh": "包络形成验证",
   "level": "l3"
  },
  "CAP_d5292b8e": {
   "en": "Active Surface Object Reorientation",
   "zh": "主动表面物体重定向",
   "level": "l3"
  },
  "CAP_2ecb57de": {
   "en": "Envelope Stability and Force Allocation",
   "zh": "包络稳定与力分配",
   "level": "l2"
  },
  "CAP_2daa42d3": {
   "en": "Grasp Force Application",
   "zh": "握力施加",
   "level": "l3"
  },
  "CAP_091ae974": {
   "en": "Kinetostatic Force-Closure Verification",
   "zh": "运动静力力闭合验证",
   "level": "l3"
  },
  "CAP_e0e923d5": {
   "en": "Large-Scale Typed Grasp Synthesis",
   "zh": "大规模类型化抓取合成",
   "level": "l2"
  },
  "CAP_d8b59659": {
   "en": "Grasp Template Definition",
   "zh": "手型-抓取类型模板定义",
   "level": "l3"
  },
  "CAP_f3de38b8": {
   "en": "Object Asset Processing",
   "zh": "物体资产加载与归一化",
   "level": "l3"
  },
  "CAP_765a595b": {
   "en": "Object Pose Optimization to Template",
   "zh": "物体位姿优化适配手模板",
   "level": "l3"
  },
  "CAP_463fec77": {
   "en": "MuJoCo Contact-Aware Hand Refinement",
   "zh": "MuJoCo 接触感知手部微调",
   "level": "l3"
  },
  "CAP_0e3fefb1": {
   "en": "Template Bootstrapping",
   "zh": "模板自举扩展",
   "level": "l3"
  },
  "CAP_4d5dd5c1": {
   "en": "Typed Grasp Dataset Construction",
   "zh": "类型化抓取数据集构建",
   "level": "l3"
  },
  "CAP_5f83e28d": {
   "en": "Type-Conditional Generative Model Training",
   "zh": "类型条件生成模型训练",
   "level": "l2"
  },
  "CAP_0c996db6": {
   "en": "Point Cloud and Type Conditioning",
   "zh": "点云与类型条件编码",
   "level": "l3"
  },
  "CAP_65ec576e": {
   "en": "Grasp Generative Model Architecture",
   "zh": "抓取生成模型架构",
   "level": "l3"
  },
  "CAP_f56b862f": {
   "en": "Generative Model Validation",
   "zh": "生成模型验证",
   "level": "l3"
  },
  "CAP_4ac8e834": {
   "en": "Online Type-Conditioned Grasp Inference",
   "zh": "在线类型条件抓取推理",
   "level": "l2"
  },
  "CAP_85175c81": {
   "en": "Single-View Point Cloud Processing",
   "zh": "单视角点云处理",
   "level": "l3"
  },
  "CAP_c85d8c83": {
   "en": "Power Loss Detection and SS1 Triggering",
   "zh": "掉电检测与SS1安全功能触发",
   "level": "l2"
  },
  "CAP_58f6da57": {
   "en": "Controlled Regenerative Braking",
   "zh": "受控再生制动与能量管理",
   "level": "l2"
  },
  "CAP_0dfddb70": {
   "en": "SBC Safe Brake Engagement",
   "zh": "安全抱闸控制与确认",
   "level": "l2"
  },
  "CAP_5597fa66": {
   "en": "DC Bus Voltage Monitoring and PFI Detection",
   "zh": "直流母线电压监控与掉电检测",
   "level": "l3"
  },
  "CAP_b5d3c077": {
   "en": "Multi-axis Braking Priority Arbitration",
   "zh": "多轴制动优先级仲裁",
   "level": "l3"
  },
  "CAP_b0ebe2c8": {
   "en": "SS1 Safe Stop Activation",
   "zh": "SS1安全停止功能激活",
   "level": "l3"
  },
  "CAP_cb691100": {
   "en": "Regenerative Braking Current Regulation",
   "zh": "再生制动电流控制",
   "level": "l3"
  },
  "CAP_fcb2db8d": {
   "en": "DC Bus Chopper and Braking Resistor Control",
   "zh": "直流母线斩波与制动电阻控制",
   "level": "l3"
  },
  "CAP_8b0ba215": {
   "en": "SS1 Ramp/Time Monitoring",
   "zh": "SS1减速斜坡/时间监控",
   "level": "l3"
  },
  "CAP_bd06cda1": {
   "en": "Hold-up Time Capacitor Energy Budgeting",
   "zh": "母线电容保持时间能量预算管理",
   "level": "l3"
  },
  "CAP_583a1759": {
   "en": "Safe Zero Speed Detection",
   "zh": "安全零速检测",
   "level": "l3"
  },
  "CAP_9fdb2857": {
   "en": "SBC Safe Brake Control Output",
   "zh": "安全抱闸控制输出",
   "level": "l3"
  },
  "CAP_97d0a423": {
   "en": "Brake Status Feedback Monitoring",
   "zh": "抱闸状态反馈监控",
   "level": "l3"
  },
  "CAP_9f6960e0": {
   "en": "Safe Stationary State Confirmation",
   "zh": "安全静止状态确认",
   "level": "l3"
  },
  "CAP_fffd9649": {
   "en": "Power Loss Fault Detection and Braking Path Arbitration",
   "zh": "掉电/故障检测与制动路径仲裁",
   "level": "l2"
  },
  "CAP_b1e904cb": {
   "en": "Passive Braking Execution",
   "zh": "无源制动通道执行",
   "level": "l2"
  },
  "CAP_80a27cbe": {
   "en": "Speed Decay Monitoring and Mode Switching",
   "zh": "速度衰减监控与模式切换",
   "level": "l2"
  },
  "CAP_d515d942": {
   "en": "Control Power Loss and Drive Fault Detection",
   "zh": "控制电源丢失与驱动器故障检测",
   "level": "l3"
  },
  "CAP_94d5e369": {
   "en": "Speed Zone Classification for ASC/FW",
   "zh": "ASC/FW速度区域分类",
   "level": "l3"
  },
  "CAP_531edef5": {
   "en": "Passive Braking Path Selection",
   "zh": "无源制动路径选择",
   "level": "l3"
  },
  "CAP_725b3be8": {
   "en": "NC Relay Dynamic Braking Resistor Engagement",
   "zh": "常闭继电器动态制动电阻接通",
   "level": "l3"
  },
  "CAP_634d923a": {
   "en": "Active Short Circuit IGBT Control",
   "zh": "三相主动短路IGBT控制",
   "level": "l3"
  },
  "CAP_a4284abc": {
   "en": "Speed Decay Monitoring Without Control Power",
   "zh": "无控制电源速度衰减监控",
   "level": "l3"
  },
  "CAP_4b23fbc7": {
   "en": "ASC to Freewheeling Transition",
   "zh": "ASC到Freewheeling切换",
   "level": "l3"
  },
  "CAP_d8aa1f9f": {
   "en": "Zero Speed Detection by BEMF",
   "zh": "基于反电动势的零速检测",
   "level": "l3"
  },
  "CAP_aaa247f1": {
   "en": "Power Loss Detection and Backup Power Takeover",
   "zh": "掉电检测与备用电源接管",
   "level": "l2"
  },
  "CAP_8ce02858": {
   "en": "Backup Power Seamless Switchover",
   "zh": "备用电源无缝切换",
   "level": "l3"
  },
  "CAP_595c77d1": {
   "en": "Backup Energy Budget and Runtime Estimation",
   "zh": "备用电源能量预算与备份时间估算",
   "level": "l3"
  },
  "CAP_bb7c6d91": {
   "en": "Power Loss Event NMI Notification",
   "zh": "掉电事件NMI通知",
   "level": "l3"
  },
  "CAP_ca9c436b": {
   "en": "Tiered Data Persistence on Power Loss",
   "zh": "掉电分级数据持久化",
   "level": "l2"
  },
  "CAP_9ea2fb34": {
   "en": "Blackbox Critical Event Logging",
   "zh": "黑匣子关键事件日志记录",
   "level": "l3"
  },
  "CAP_fa5f7010": {
   "en": "System State and Error Code Fast Persistence",
   "zh": "系统状态与错误码快速持久化",
   "level": "l3"
  },
  "CAP_4592972c": {
   "en": "Task Data and Process Parameter Full Persistence",
   "zh": "任务数据与工艺参数完整持久化",
   "level": "l3"
  },
  "CAP_0b2efcb7": {
   "en": "Non-Volatile Storage Write Completion Verification",
   "zh": "非易失存储写入完成校验",
   "level": "l3"
  },
  "CAP_87614085": {
   "en": "Tiered Load Shedding and Safety Communication",
   "zh": "分级卸载与安全通信",
   "level": "l2"
  },
  "CAP_f90472b6": {
   "en": "Non-Critical Load Power Disconnection",
   "zh": "非关键负载电源切断",
   "level": "l3"
  },
  "CAP_91b2145e": {
   "en": "Last Gasp External Notification",
   "zh": "Last Gasp外部紧急通知",
   "level": "l3"
  },
  "CAP_567832f3": {
   "en": "Motion Controller Battery Failsafe Action",
   "zh": "运动控制器电池failsafe动作执行",
   "level": "l3"
  },
  "CAP_a3cc1146": {
   "en": "Controlled Safe Shutdown Sequence",
   "zh": "受控安全关机序列",
   "level": "l2"
  },
  "CAP_46d3270a": {
   "en": "Graceful Peripheral and Communication Shutdown",
   "zh": "外围设备与通信模块有序关闭",
   "level": "l3"
  },
  "CAP_e2c5b5ec": {
   "en": "Controller State Retention and Low-Power Entry",
   "zh": "控制器状态保持与低功耗进入",
   "level": "l3"
  },
  "CAP_753d27d2": {
   "en": "Power Recovery Detection and State Restoration",
   "zh": "电源恢复检测与状态恢复",
   "level": "l3"
  },
  "CAP_4c990f20": {
   "en": "Coordination-Aware Phase Separation",
   "zh": "协调感知相位分离",
   "level": "l3"
  },
  "CAP_70bdd9c7": {
   "en": "Adaptive Force Coordination",
   "zh": "自适应力协调优化",
   "level": "l3"
  },
  "CAP_bbf3c7f5": {
   "en": "Tendon Transmission Feedforward Compensation",
   "zh": "腱传动前馈补偿",
   "level": "l3"
  },
  "CAP_caf851d6": {
   "en": "Visuotactile Multi-Modal Encoding",
   "zh": "视触觉多模态观测编码",
   "level": "l2"
  },
  "CAP_fcc0aa77": {
   "en": "Latent Diffusion Action Chunking",
   "zh": "隐空间扩散动作块预测",
   "level": "l2"
  },
  "CAP_ca8c6913": {
   "en": "Fast Tactile Reactive Correction",
   "zh": "快反应触觉校正",
   "level": "l3"
  },
  "CAP_ff0bd733": {
   "en": "Compliance Control for Dexterous Hands",
   "zh": "灵巧手柔顺控制",
   "level": "l3"
  },
  "CAP_eeb7d1b7": {
   "en": "Neural Grasp Mode Switching",
   "zh": "神经抓取模式切换",
   "level": "l3"
  },
  "CAP_260306d0": {
   "en": "Visual-Force Hybrid Servoing Precision Grasping Pipeline",
   "zh": "视-力混合伺服精密抓取管线",
   "level": "l2"
  },
  "CAP_bb5d5983": {
   "en": "PBVS-IBVS Visual Servoing Precision Approach",
   "zh": "PBVS-IBVS视觉伺服精密趋近",
   "level": "l3"
  },
  "CAP_f956c8df": {
   "en": "Velocity-Limited Approach Control",
   "zh": "限速趋近控制",
   "level": "l3"
  },
  "CAP_a4382946": {
   "en": "Task Frame Specification for Assembly",
   "zh": "装配任务坐标系建模",
   "level": "l3"
  },
  "CAP_7b7af3b3": {
   "en": "Input and Obstacle Preprocessing",
   "zh": "输入采集与障碍物预处理",
   "level": "l2"
  },
  "CAP_4bc5aadf": {
   "en": "Geometric Collision and TTC Computation",
   "zh": "几何碰撞判定与TTC计算",
   "level": "l2"
  },
  "CAP_c07e9266": {
   "en": "TTC-based Velocity Safety Control",
   "zh": "基于TTC的速度安全控制",
   "level": "l2"
  },
  "CAP_5c984290": {
   "en": "Ego Perception Data Synchronization",
   "zh": "自车与感知数据时间同步",
   "level": "l3"
  },
  "CAP_dac3d7a8": {
   "en": "Obstacle Transform and Filtering",
   "zh": "障碍物坐标变换与ROI过滤",
   "level": "l3"
  },
  "CAP_28fdc30e": {
   "en": "Future Footprint Projection",
   "zh": "未来足迹前向投影",
   "level": "l3"
  },
  "CAP_e27f5192": {
   "en": "Geometric Collision Detection",
   "zh": "R-tree加速几何碰撞检测",
   "level": "l3"
  },
  "CAP_df83bfe5": {
   "en": "TTC Longitudinal Calculation",
   "zh": "纵向TTC与最近距离计算",
   "level": "l3"
  },
  "CAP_b9cfbd9b": {
   "en": "Probabilistic Collision Risk Assessment",
   "zh": "概率性碰撞风险评估",
   "level": "l2"
  },
  "CAP_67b89ade": {
   "en": "Unscented Transform Belief Propagation",
   "zh": "无迹变换不确定性传播",
   "level": "l3"
  },
  "CAP_ac118114": {
   "en": "Scenario Trajectory Sampling",
   "zh": "场景轨迹采样",
   "level": "l3"
  },
  "CAP_c0d81456": {
   "en": "Analytical Gaussian Collision Probability",
   "zh": "解析高斯碰撞概率估计",
   "level": "l3"
  },
  "CAP_dab04768": {
   "en": "Variance-Reduced MC Collision Probability",
   "zh": "方差缩减蒙特卡洛碰撞概率估计",
   "level": "l3"
  },
  "CAP_ea526a87": {
   "en": "Scenario Chance Constraint Transformation",
   "zh": "场景机会约束转化",
   "level": "l3"
  },
  "CAP_15c66864": {
   "en": "Support Subset Pruning",
   "zh": "支持集剪枝",
   "level": "l3"
  },
  "CAP_6765e95a": {
   "en": "Buffered Uncertainty-Aware Voronoi Cell",
   "zh": "不确定性感知缓冲Voronoi胞腔",
   "level": "l3"
  },
  "CAP_4a3db6f6": {
   "en": "Chance-Constrained MPPI",
   "zh": "机会约束MPPI采样控制",
   "level": "l3"
  },
  "CAP_bb680707": {
   "en": "Path Integral Control",
   "zh": "路径积分控制",
   "level": "l3"
  },
  "CAP_0784b0c4": {
   "en": "Continuous Motion Interpolation",
   "zh": "CCD连续运动插值建模",
   "level": "l3"
  },
  "CAP_05a8ee51": {
   "en": "Swept AABB Broadphase",
   "zh": "连续碰撞扫掠AABB宽相",
   "level": "l3"
  },
  "CAP_52305b4a": {
   "en": "Security Margin Distance Check",
   "zh": "安全距离裕度碰撞检查",
   "level": "l3"
  },
  "CAP_d3b4bbd5": {
   "en": "Continuous Trajectory Validation",
   "zh": "连续轨迹验证与TOI报告",
   "level": "l3"
  },
  "CAP_c24e1ad3": {
   "en": "C-space Neural Signed Distance Field",
   "zh": "C-space神经符号距离场",
   "level": "l3"
  },
  "CAP_a6e4aff0": {
   "en": "Vision Foundation Model TTC Estimation",
   "zh": "视觉基础模型TTC估计",
   "level": "l3"
  },
  "CAP_ccd4bcdc": {
   "en": "Self-Collision Distance Gradient",
   "zh": "自碰撞距离梯度计算",
   "level": "l3"
  },
  "CAP_252f9d62": {
   "en": "Physics-Based Degradation Modeling",
   "zh": "物理退化建模",
   "level": "l2"
  },
  "CAP_e29578a2": {
   "en": "Prognostics Model Parameter Calibration",
   "zh": "退化模型参数标定",
   "level": "l3"
  },
  "CAP_215a335d": {
   "en": "Domain Alignment Quality Assessment",
   "zh": "域对齐质量评估",
   "level": "l3"
  },
  "CAP_742fb83d": {
   "en": "Data-Driven RUL Model Pipeline",
   "zh": "数据驱动RUL模型流水线",
   "level": "l2"
  },
  "CAP_a319f8e5": {
   "en": "PINN-Based Hybrid Prognostics Pipeline",
   "zh": "PINN混合预测流水线",
   "level": "l2"
  },
  "CAP_a8fd2036": {
   "en": "PINN Physics-Informed Loss Construction",
   "zh": "PINN物理信息损失构建",
   "level": "l3"
  },
  "CAP_4fac7151": {
   "en": "PINN Multi-Loss Adaptive Balancing",
   "zh": "PINN多损失自适应平衡",
   "level": "l3"
  },
  "CAP_8477a109": {
   "en": "PINN Degradation Trajectory Extrapolation & RUL",
   "zh": "PINN退化轨迹外推与RUL计算",
   "level": "l3"
  },
  "CAP_bdcf8b0b": {
   "en": "PINN Online Data Assimilation & Model Update",
   "zh": "PINN在线数据同化与模型更新",
   "level": "l3"
  },
  "CAP_7754f0c9": {
   "en": "Kinematic Filter Trajectory Prediction",
   "zh": "运动学滤波实时轨迹预测",
   "level": "l2"
  },
  "CAP_db830ab4": {
   "en": "Costmap-to-Primitive Obstacle Conversion",
   "zh": "代价地图障碍图元转换",
   "level": "l3"
  },
  "CAP_4724041d": {
   "en": "DL Prediction Fallback Gating",
   "zh": "深度学习预测降级门控",
   "level": "l3"
  },
  "CAP_a981dbe2": {
   "en": "Multi-Modal Predictive Planning",
   "zh": "多模态预测式规划",
   "level": "l3"
  },
  "CAP_c81cc2f3": {
   "en": "Heterogeneous Agent Type Encoding",
   "zh": "异构智能体类型编码",
   "level": "l3"
  },
  "CAP_9fac4848": {
   "en": "Bresenham Trajectory Cost Marking",
   "zh": "Bresenham轨迹代价标记",
   "level": "l3"
  },
  "CAP_abe2a263": {
   "en": "MPPI Predictive Sampling Control",
   "zh": "MPPI预测采样控制",
   "level": "l3"
  },
  "CAP_c277d245": {
   "en": "Gaussian Mahalanobis Chance Constraint Buffer",
   "zh": "高斯马氏距离机会约束膨胀",
   "level": "l3"
  },
  "CAP_a6fcd5c0": {
   "en": "Boole Inequality Risk Budget Allocation",
   "zh": "Boole不等式风险预算分配",
   "level": "l3"
  },
  "CAP_95e8886a": {
   "en": "CC-MPC Feasibility Recovery Fallback",
   "zh": "CC-MPC可行性恢复降级",
   "level": "l3"
  },
  "CAP_c767cc50": {
   "en": "Temporal Observation Stacking for Implicit Motion Encoding",
   "zh": "时序观测堆叠隐式运动编码",
   "level": "l3"
  },
  "CAP_c61abd51": {
   "en": "DRL Safety Shield / Emergency Braking Filter",
   "zh": "DRL安全盾/紧急制动过滤器",
   "level": "l3"
  },
  "CAP_16a445fc": {
   "en": "Sim-to-Real Transfer for DRL Navigation",
   "zh": "DRL导航仿真到实机迁移",
   "level": "l3"
  },
  "CAP_e308dc63": {
   "en": "Multi-Robot DRL Collaborative Collision Avoidance Policy",
   "zh": "多机器人DRL协同避障策略",
   "level": "l3"
  },
  "CAP_0fd6bb41": {
   "en": "Navigation Reward and Policy Learning",
   "zh": "导航奖励与策略学习",
   "level": "l3"
  },
  "CAP_06b63034": {
   "en": "Proxemic Reinforcement Learning",
   "zh": "社交距离强化学习",
   "level": "l3"
  },
  "CAP_8b1ee209": {
   "en": "Visual Domain Randomization for Navigation",
   "zh": "导航专用视觉域随机化",
   "level": "l3"
  },
  "CAP_72992006": {
   "en": "CDNA Pixel Advection Prediction",
   "zh": "CDNA卷积动态神经advection像素运动预测",
   "level": "l3"
  },
  "CAP_94cef746": {
   "en": "Visual MPC Shooting",
   "zh": "视觉模型预测控制射击法规划",
   "level": "l3"
  },
  "CAP_a60b76ae": {
   "en": "Pixel Space Cost Evaluation",
   "zh": "像素空间代价评估",
   "level": "l3"
  },
  "CAP_05aedb62": {
   "en": "Robonet Multi-Robot Pretraining",
   "zh": "RoboNet多机器人跨本体视频预测预训练",
   "level": "l3"
  },
  "CAP_50e16ad4": {
   "en": "VPP Predictive Visual Representation",
   "zh": "视频预测策略预测性视觉表征逆动力学",
   "level": "l3"
  },
  "CAP_bba6d5f4": {
   "en": "Masked Reconstruction Representation Pretraining",
   "zh": "掩码重建预测表征预训练",
   "level": "l2"
  },
  "CAP_6e286c41": {
   "en": "MAE ViT Encoder Pretraining",
   "zh": "MAE ViT编码器预训练",
   "level": "l3"
  },
  "CAP_3972979e": {
   "en": "MAE Encoder Forward Pass on Visible Patches",
   "zh": "MAE 编码器可见 Patch 前向传播",
   "level": "l3"
  },
  "CAP_8904c857": {
   "en": "MAE Decoder Pixel Reconstruction",
   "zh": "MAE 解码器像素重建",
   "level": "l3"
  },
  "CAP_454c772d": {
   "en": "VideoMAE Pixel Reconstruction Pretraining",
   "zh": "VideoMAE 像素重建掩码预训练",
   "level": "l3"
  },
  "CAP_3c8b9d5d": {
   "en": "Video Sampling and Tube Masking",
   "zh": "视频采样与管道掩码",
   "level": "l3"
  },
  "CAP_1f3bbeed": {
   "en": "3D Multi-View MAE Pretraining",
   "zh": "3D 多视角 MAE 预训练",
   "level": "l3"
  },
  "CAP_cfcdce53": {
   "en": "Multimodal Late Fusion MAE",
   "zh": "多模态晚融合遮罩自编码预训练",
   "level": "l3"
  },
  "CAP_8a43f844": {
   "en": "JEPA Latent Predictor Training",
   "zh": "JEPA潜在预测器训练",
   "level": "l3"
  },
  "CAP_70210e50": {
   "en": "JEPA EMA Target Encoder and VICReg Regularization",
   "zh": "JEPA EMA目标编码器与VICReg防坍塌正则",
   "level": "l3"
  },
  "CAP_b2430e4f": {
   "en": "Dense Predictive Self-Supervision (V-JEPA 2.1)",
   "zh": "密集预测自监督(V-JEPA 2.1)",
   "level": "l3"
  },
  "CAP_7a010111": {
   "en": "Tactile Image Synthesis from Vision",
   "zh": "视觉到触觉图像生成",
   "level": "l3"
  },
  "CAP_7a010112": {
   "en": "Visual Image Synthesis from Touch",
   "zh": "触觉到视觉图像生成",
   "level": "l3"
  },
  "CAP_2a919559": {
   "en": "Visual Hallucination for Missing Modality",
   "zh": "缺失模态视觉幻觉生成",
   "level": "l3"
  },
  "CAP_d1e0a668": {
   "en": "Visuo-Tactile World Model",
   "zh": "视触世界模型",
   "level": "l3"
  },
  "CAP_ec8b6fef": {
   "en": "Cross-Modal Predictive Completion",
   "zh": "跨模态预测补全",
   "level": "l2"
  },
  "CAP_482f9a2f": {
   "en": "Frozen-Encoder Tactile Latent Prediction (FELT-style)",
   "zh": "冻结编码器触觉latent预测",
   "level": "l3"
  },
  "CAP_7187d85d": {
   "en": "Tactile Imagination with Force-Field Prediction (TacImag-style)",
   "zh": "触觉想象与力场预测",
   "level": "l3"
  },
  "CAP_5d03f885": {
   "en": "Masked Cross-Modal Prediction with Learned Queries (Kepler-style)",
   "zh": "学习query掩码跨模态预测",
   "level": "l3"
  },
  "CAP_81eb2d06": {
   "en": "Cross-Sensor Touch Translation via Diffusion/Depth Intermediary",
   "zh": "跨传感器触觉迁移",
   "level": "l3"
  },
  "CAP_98286e1a": {
   "en": "Low-Fidelity Visuo-Tactile Pretraining for Vision-Only Enhancement (BeadSight-style)",
   "zh": "低保真触觉预训练增强视觉策略",
   "level": "l3"
  },
  "CAP_f91dd1f8": {
   "en": "Uncurated Data Collection",
   "zh": "非筛选数据采集",
   "level": "l3"
  },
  "CAP_1fa1c1b1": {
   "en": "PDDL3 Symbolic Preference Planning",
   "zh": "PDDL3偏好符号规划",
   "level": "l2"
  },
  "CAP_5f8edc11": {
   "en": "PDDL3 Preference Encoding",
   "zh": "PDDL3偏好语言编码",
   "level": "l3"
  },
  "CAP_18f44fdf": {
   "en": "Preference Violation Metric Construction",
   "zh": "偏好违反度量构建",
   "level": "l3"
  },
  "CAP_a0c668e1": {
   "en": "PDDL3 Preference Compilation to STRIPS",
   "zh": "PDDL3偏好编译为标准STRIPS",
   "level": "l3"
  },
  "CAP_78f319b8": {
   "en": "Lexicographic Multi-Objective MDP Planning",
   "zh": "词典序多目标MDP规划",
   "level": "l2"
  },
  "CAP_271ae344": {
   "en": "Bayesian State-Context Inference",
   "zh": "贝叶斯状态-上下文推断",
   "level": "l3"
  },
  "CAP_39ea9b2f": {
   "en": "Lexicographic Value Iteration",
   "zh": "词典序值迭代",
   "level": "l3"
  },
  "CAP_b0f3778c": {
   "en": "Lexicographic Conflict-Based Search",
   "zh": "词典序冲突搜索",
   "level": "l3"
  },
  "CAP_e492f1c6": {
   "en": "Context-Aware Policy Composition",
   "zh": "上下文感知策略合成",
   "level": "l3"
  },
  "CAP_dd5e234d": {
   "en": "Preference-Based Reinforcement Learning",
   "zh": "基于偏好的强化学习",
   "level": "l2"
  },
  "CAP_2658c3ca": {
   "en": "Unsupervised Policy Pre-training",
   "zh": "无监督策略预训练",
   "level": "l3"
  },
  "CAP_fbf2d493": {
   "en": "Preference Query Selection",
   "zh": "偏好查询选择",
   "level": "l3"
  },
  "CAP_bcda25f9": {
   "en": "Preference-Guided Policy Adaptation",
   "zh": "偏好引导策略适配",
   "level": "l3"
  },
  "CAP_69618abd": {
   "en": "CP-Nets Conditional Preference Reasoning",
   "zh": "CP-nets条件偏好推理",
   "level": "l2"
  },
  "CAP_0eb6f55d": {
   "en": "CP-Nets Acyclicity Verification",
   "zh": "CP-nets无环验证",
   "level": "l3"
  },
  "CAP_7c1bf96f": {
   "en": "CP-Nets Optimal Outcome Query",
   "zh": "CP-nets最优结果查询",
   "level": "l3"
  },
  "CAP_213908d9": {
   "en": "CP-Nets Dominance Testing",
   "zh": "CP-nets占优测试",
   "level": "l3"
  },
  "CAP_dc4c45ed": {
   "en": "Multi-CP-nets Preference Aggregation",
   "zh": "多CP-nets偏好聚合",
   "level": "l3"
  },
  "CAP_ca99f461": {
   "en": "Multi-Robot Prioritized Routing",
   "zh": "多机器人优先级路由规划",
   "level": "l2"
  },
  "CAP_bc45ed4c": {
   "en": "Robot-to-Segment Localization",
   "zh": "机器人位姿到段的映射定位",
   "level": "l3"
  },
  "CAP_d7ff5587": {
   "en": "Priority List Scheduling",
   "zh": "优先级列表调度",
   "level": "l3"
  },
  "CAP_699cefda": {
   "en": "Spatiotemporal Reservation (Timeline)",
   "zh": "时空保留时间线",
   "level": "l3"
  },
  "CAP_ae416557": {
   "en": "Segment-Level Collision Resolution",
   "zh": "段级冲突消解",
   "level": "l3"
  },
  "CAP_91d464ab": {
   "en": "Synchronized Route Generation",
   "zh": "同步路由生成与发布",
   "level": "l3"
  },
  "CAP_0bc35f99": {
   "en": "Synchronized Route Execution Control",
   "zh": "同步路由执行控制",
   "level": "l3"
  },
  "CAP_e4396e8f": {
   "en": "Priority-Based Multi-Agent Path Finding",
   "zh": "基于优先级树搜索的多智能体路径规划",
   "level": "l2"
  },
  "CAP_565a549b": {
   "en": "MAPF Instance Loading",
   "zh": "MAPF实例加载",
   "level": "l3"
  },
  "CAP_895e3151": {
   "en": "Single-Agent Time-Independent Path Planning",
   "zh": "单机器人无时间维度路径规划",
   "level": "l3"
  },
  "CAP_9a42ca03": {
   "en": "Priority Constraint Tree Search",
   "zh": "优先级约束树搜索",
   "level": "l3"
  },
  "CAP_b26471b8": {
   "en": "Priority-Constrained Replanning",
   "zh": "优先级约束下的低层重规划",
   "level": "l3"
  },
  "CAP_c382a44d": {
   "en": "PBS Node Selection and Pruning",
   "zh": "PBS节点选择与剪枝",
   "level": "l3"
  },
  "CAP_9c2887dd": {
   "en": "PIBT Real-Time Multi-Agent Coordination",
   "zh": "PIBT实时多智能体协调",
   "level": "l2"
  },
  "CAP_02d9d845": {
   "en": "Dynamic Priority Assignment",
   "zh": "动态优先级分配",
   "level": "l3"
  },
  "CAP_b0f0e3fe": {
   "en": "PIBT Single-Step Decision with Inheritance",
   "zh": "PIBT优先级继承单步决策",
   "level": "l3"
  },
  "CAP_7c5160c4": {
   "en": "Backtracking Protocol",
   "zh": "回溯协议",
   "level": "l3"
  },
  "CAP_0a36f8b2": {
   "en": "Node Reservation for Collision Prevention",
   "zh": "节点保留防碰撞",
   "level": "l3"
  },
  "CAP_54fc84fa": {
   "en": "Priority Graph Intersection Coordination",
   "zh": "优先级图交叉口协调",
   "level": "l2"
  },
  "CAP_a7673588": {
   "en": "Fixed Geometric Path Pre-Planning",
   "zh": "固定几何路径预规划",
   "level": "l3"
  },
  "CAP_ec50ca08": {
   "en": "Conflict Zone Identification",
   "zh": "冲突区域识别",
   "level": "l3"
  },
  "CAP_74ceb93a": {
   "en": "Coordination Space Construction",
   "zh": "协调空间构建",
   "level": "l3"
  },
  "CAP_aaac6aef": {
   "en": "Priority Graph Assignment and Validation",
   "zh": "优先级图分配与可行性验证",
   "level": "l3"
  },
  "CAP_6752f3e5": {
   "en": "Priority-Preserving Control Law",
   "zh": "保优先级控制律",
   "level": "l3"
  },
  "CAP_2f5d57a0": {
   "en": "Bitmap O(1) Priority Selection",
   "zh": "bitmap O(1) 优先级选择",
   "level": "l3"
  },
  "CAP_326b4188": {
   "en": "Mandatory Priority Scheduling",
   "zh": "强制部分优先调度",
   "level": "l3"
  },
  "CAP_3bd48d93": {
   "en": "Priority Inheritance Mutex",
   "zh": "优先级继承互斥锁",
   "level": "l3"
  },
  "CAP_47372be4": {
   "en": "LaCAM Multi-Agent Path Finding",
   "zh": "LaCAM多智能体路径规划",
   "level": "l3"
  },
  "CAP_defdfc99": {
   "en": "Tick Preemptive Scheduling",
   "zh": "tick 中断抢占调度",
   "level": "l3"
  },
  "CAP_4cde9569": {
   "en": "Imprecise Computation and Skip-over",
   "zh": "不精确计算与跳过调度",
   "level": "l3"
  },
  "CAP_53fe3ac0": {
   "en": "Goal Execution Time Estimation",
   "zh": "目标执行时间估计",
   "level": "l3"
  },
  "CAP_58d3580c": {
   "en": "Callback Dispatch and Concurrency Control",
   "zh": "回调分发与并发控制",
   "level": "l3"
  },
  "CAP_67186624": {
   "en": "Lifelong Task Streaming Assignment",
   "zh": "终身任务流式分配",
   "level": "l3"
  },
  "CAP_717ee876": {
   "en": "Multi-Level Degradation Execution",
   "zh": "分级降级动作执行",
   "level": "l3"
  },
  "CAP_75688c6b": {
   "en": "OS-Level Real-Time Synergy Configuration",
   "zh": "操作系统层实时性协同配置",
   "level": "l3"
  },
  "CAP_828d6dba": {
   "en": "Deadline-Aware Schedule Execution",
   "zh": "截止时间感知调度执行",
   "level": "l3"
  },
  "CAP_8bba2a40": {
   "en": "Experience-based Warm-start",
   "zh": "经验复用热启动",
   "level": "l3"
  },
  "CAP_99a12e89": {
   "en": "Mandatory-Optional Task Decomposition",
   "zh": "任务强制可选部分拆分",
   "level": "l3"
  },
  "CAP_d32181a2": {
   "en": "Chain-Level Deadline Propagation",
   "zh": "回调链端到端截止期传递",
   "level": "l3"
  },
  "CAP_5b52a622": {
   "en": "Deadline Miss KPI Tracking",
   "zh": "截止期违约KPI统计",
   "level": "l3"
  },
  "CAP_6091da55": {
   "en": "Dispatch Closed-Loop Update",
   "zh": "调度闭环队列更新",
   "level": "l3"
  },
  "CAP_ed2c4390": {
   "en": "FIFO Within Priority Level",
   "zh": "优先级层内FIFO排序",
   "level": "l3"
  },
  "CAP_9f5f0ed5": {
   "en": "FMS EDF Deadline Ordered Queue",
   "zh": "FMS层EDF截止时间有序队列",
   "level": "l3"
  },
  "CAP_418f908d": {
   "en": "FMS Fault Task Reassignment",
   "zh": "FMS故障任务重分配",
   "level": "l3"
  },
  "CAP_5489fa28": {
   "en": "FMS Robot Availability Filter",
   "zh": "FMS机器人可用性过滤",
   "level": "l3"
  },
  "CAP_9eb40ba9": {
   "en": "FMS Task Preemption",
   "zh": "FMS任务级抢占",
   "level": "l3"
  },
  "CAP_caeb9af6": {
   "en": "FMS Task Priority Mapping",
   "zh": "FMS任务类型优先级映射",
   "level": "l3"
  },
  "CAP_be9e0ac1": {
   "en": "GEDF Callback ReadyQueue Scheduling",
   "zh": "GEDF回调就绪队列调度",
   "level": "l3"
  },
  "CAP_1bb58c32": {
   "en": "Greedy Priority-First Task Dispatch",
   "zh": "按优先级贪心任务派发",
   "level": "l3"
  },
  "CAP_808f0d96": {
   "en": "Highest Response Ratio Next",
   "zh": "高响应比优先调度",
   "level": "l3"
  },
  "CAP_73157d97": {
   "en": "Immediate Dispatch Assignment",
   "zh": "即时分配触发",
   "level": "l3"
  },
  "CAP_37ca79f9": {
   "en": "Lock Contention Tracing and Profiling",
   "zh": "锁争用追踪与剖析",
   "level": "l3"
  },
  "CAP_1b33850c": {
   "en": "Multi-Level Priority Queue (FMS)",
   "zh": "FMS多级优先级队列管理",
   "level": "l3"
  },
  "CAP_dc9a5673": {
   "en": "Mutex Lock Ordering and Deadlock Prevention",
   "zh": "锁序与死锁预防",
   "level": "l3"
  },
  "CAP_5b3f27b2": {
   "en": "Nearest Available Robot Selection",
   "zh": "最近可用机器人选择",
   "level": "l3"
  },
  "CAP_258506cf": {
   "en": "Path Time-Window Reservation",
   "zh": "路径时间窗预留",
   "level": "l3"
  },
  "CAP_23d67cdb": {
   "en": "Preempted Task Rollback",
   "zh": "被抢占任务回退",
   "level": "l3"
  },
  "CAP_64a3a8ce": {
   "en": "Priority Aging Boost",
   "zh": "优先级老化提升",
   "level": "l3"
  },
  "CAP_1d9003d3": {
   "en": "Priority Ceiling Protocol ICPP OCPP",
   "zh": "优先级天花板协议",
   "level": "l3"
  },
  "CAP_08ae60e0": {
   "en": "Priority Inversion Protection Protocols",
   "zh": "优先级反转保护协议",
   "level": "l2"
  },
  "CAP_75c3e4ca": {
   "en": "Priority Inversion Runtime Detection",
   "zh": "优先级反转运行时检测",
   "level": "l3"
  },
  "CAP_694fc18f": {
   "en": "Priority-Based Path Resource Locking",
   "zh": "基于优先级的路径资源锁分配",
   "level": "l3"
  },
  "CAP_6a107682": {
   "en": "Runtime Slack Monitoring",
   "zh": "运行时松弛度监控",
   "level": "l3"
  },
  "CAP_b232fa54": {
   "en": "Slack Laxity Computation",
   "zh": "松弛度计算",
   "level": "l3"
  },
  "CAP_fd6fe85d": {
   "en": "Stack Resource Policy SRP",
   "zh": "栈资源策略",
   "level": "l3"
  },
  "CAP_0dd30489": {
   "en": "Starvation Prevention via Aging",
   "zh": "防饥饿老化提升",
   "level": "l3"
  },
  "CAP_10747a95": {
   "en": "Task Resource Cleanup",
   "zh": "任务终态资源清理",
   "level": "l3"
  },
  "CAP_c9134f70": {
   "en": "Task-Robot Fitness Scoring",
   "zh": "任务-机器人适配度评分",
   "level": "l3"
  },
  "CAP_dd010966": {
   "en": "Transport Order Progress Tracking",
   "zh": "运输订单进度跟踪",
   "level": "l3"
  },
  "CAP_b7aaafdf": {
   "en": "Fixed Priority Assignment",
   "zh": "固定优先级分配",
   "level": "l3"
  },
  "CAP_ed2487ee": {
   "en": "Windowed MAPF Conflict Resolution",
   "zh": "窗口化多智能体路径冲突解析",
   "level": "l3"
  },
  "CAP_f3dc7756": {
   "en": "RTOS Priority Inheritance Mutex",
   "zh": "RTOS优先级继承互斥锁",
   "level": "l3"
  },
  "CAP_86c62ca4": {
   "en": "Chained Priority Inheritance",
   "zh": "链式优先级继承（传递继承）",
   "level": "l3"
  },
  "CAP_9dd8db5f": {
   "en": "PIP Priority Disinherit and Restore",
   "zh": "PIP优先级恢复（Disinherit）",
   "level": "l3"
  },
  "CAP_b71afeae": {
   "en": "PCP Static Ceiling Configuration",
   "zh": "PCP静态天花板配置",
   "level": "l2"
  },
  "CAP_f4ea0590": {
   "en": "AUTOSAR OSEK Resource Ceiling",
   "zh": "AUTOSAR/OSEK资源天花板机制",
   "level": "l3"
  },
  "CAP_7f09cad6": {
   "en": "Ada Ceiling Locking Protected Object",
   "zh": "Ada语言Ceiling_Locking受保护对象",
   "level": "l3"
  },
  "CAP_bb8d90ce": {
   "en": "PCP Runtime Ceiling Trace",
   "zh": "PCP运行时天花板跳变观测",
   "level": "l3"
  },
  "CAP_a8bbf49b": {
   "en": "Priority Inversion Avoidance and Detection",
   "zh": "优先级反转规避与检测纵深防御",
   "level": "l2"
  },
  "CAP_144b574f": {
   "en": "Interrupt and Scheduler Critical Section",
   "zh": "关中断/关调度器极短临界区",
   "level": "l3"
  },
  "CAP_da7f9262": {
   "en": "Robust Mutex Crash Recovery",
   "zh": "Robust Mutex崩溃恢复",
   "level": "l3"
  },
  "CAP_5a0d8f2d": {
   "en": "ARINC653TimePartitioning",
   "zh": "ARINC 653时间分区隔离",
   "level": "l3"
  },
  "CAP_eb6cae05": {
   "en": "RTOS Fixed Priority Preemptive Deployment",
   "zh": "RTOS 固定优先级抢占式调度部署",
   "level": "l2"
  },
  "CAP_b0ee986e": {
   "en": "RTOS Task Creation and Priority Mapping",
   "zh": "RTOS 任务创建与优先级映射",
   "level": "l3"
  },
  "CAP_e4c90646": {
   "en": "Same-Priority Round-Robin Time Slicing",
   "zh": "同优先级时间片轮转",
   "level": "l3"
  },
  "CAP_be62d444": {
   "en": "Event-Driven Task Blocking and Wakeup",
   "zh": "事件驱动任务阻塞与唤醒",
   "level": "l3"
  },
  "CAP_10c07647": {
   "en": "Linux PREEMPT RT FIFO Scheduling Deployment",
   "zh": "Linux PREEMPT_RT 固定优先级调度部署",
   "level": "l2"
  },
  "CAP_bd38522b": {
   "en": "Safety-Critical Partitioned Fixed-Priority Deployment",
   "zh": "安全关键分区固定优先级调度部署",
   "level": "l2"
  },
  "CAP_038596e2": {
   "en": "Safety-Critical Static System Configuration",
   "zh": "安全关键静态系统配置",
   "level": "l3"
  },
  "CAP_130616be": {
   "en": "ARINC 653 Temporal Partitioning",
   "zh": "ARINC 653 时间分区",
   "level": "l3"
  },
  "CAP_b74ffa1a": {
   "en": "Partition-Level Fixed-Priority Scheduling",
   "zh": "分区内固定优先级调度",
   "level": "l3"
  },
  "CAP_8e15d6f1": {
   "en": "Safety-Critical Health Monitor",
   "zh": "安全关键健康监控",
   "level": "l3"
  },
  "CAP_e0e1c69c": {
   "en": "Offline RTA with ICPP Blocking",
   "zh": "含 ICPP 阻塞的离线 RTA 可调度性验证",
   "level": "l3"
  },
  "CAP_78083a29": {
   "en": "MCDM Weighted Priority Scoring",
   "zh": "MCDM加权优先级评分",
   "level": "l2"
  },
  "CAP_091e2941": {
   "en": "TOPSIS Comprehensive Scoring",
   "zh": "TOPSIS综合优先级评分",
   "level": "l3"
  },
  "CAP_7e3724fc": {
   "en": "Lexicographic Strict Priority Scoring",
   "zh": "词典序/分层严格优先级评分",
   "level": "l2"
  },
  "CAP_e39d41c8": {
   "en": "Formal Rulebook Priority Ranking",
   "zh": "Rulebooks形式化优先级排序",
   "level": "l3"
  },
  "CAP_3e2129c9": {
   "en": "Hierarchical QP Online Solver",
   "zh": "层级QP在线求解",
   "level": "l3"
  },
  "CAP_ad446742": {
   "en": "Lex-Min Violation Resolution",
   "zh": "Lex-Min最小危害违规处理",
   "level": "l3"
  },
  "CAP_4069fa43": {
   "en": "Priority Violation Tracing",
   "zh": "优先级违规溯源解释",
   "level": "l3"
  },
  "CAP_964ee1a9": {
   "en": "Weighted Sum Utility Scoring",
   "zh": "加权和效用/代价评分",
   "level": "l3"
  },
  "CAP_d92b8dff": {
   "en": "Scenario-Based Weight Switching",
   "zh": "场景权重集动态切换",
   "level": "l3"
  },
  "CAP_3ea4a6d6": {
   "en": "Learned Priority Scoring",
   "zh": "学习型优先级评分",
   "level": "l2"
  },
  "CAP_37076bc7": {
   "en": "Deep Reinforcement Learning End-to-End Priority",
   "zh": "深度强化学习端到端优先级策略",
   "level": "l3"
  },
  "CAP_1d6c9bba": {
   "en": "Meta-Learned Context-Dependent Weights",
   "zh": "元学习上下文自适应权重",
   "level": "l3"
  },
  "CAP_ca78ffef": {
   "en": "Joint Trajectory Collection for Physics Learning",
   "zh": "物理学习关节轨迹采集",
   "level": "l3"
  },
  "CAP_e9804b35": {
   "en": "Cholesky-Constrained Inertia Matrix Parameterization",
   "zh": "Cholesky 约束惯性矩阵参数化",
   "level": "l3"
  },
  "CAP_39fb5ccb": {
   "en": "Dissipative Lagrangian/Hamiltonian Network",
   "zh": "耗散系统 Lagrangian/Hamiltonian 网络",
   "level": "l3"
  },
  "CAP_0b9f48cb": {
   "en": "Differentiable-Simulation Residual Force Learning",
   "zh": "可微仿真残差力学习",
   "level": "l3"
  },
  "CAP_55eb64f9": {
   "en": "Local Residual Acceleration Field",
   "zh": "局部残差加速度场",
   "level": "l3"
  },
  "CAP_ec3f0685": {
   "en": "Sparse-To-Dense Residual Reconstruction",
   "zh": "稀疏观测稠密残差重构",
   "level": "l3"
  },
  "CAP_6082387a": {
   "en": "Residual Policy with Motion Prior",
   "zh": "运动先验残差策略",
   "level": "l3"
  },
  "CAP_638e80b2": {
   "en": "Physics-Informed Policy Regularization",
   "zh": "物理信息策略正则化",
   "level": "l2"
  },
  "CAP_b35fab66": {
   "en": "Automated Dynamics Oracle Extraction",
   "zh": "自动化动力学预言机提取",
   "level": "l3"
  },
  "CAP_f5e42879": {
   "en": "Lagrangian Residual Policy Regularization",
   "zh": "Lagrangian残差策略正则化",
   "level": "l3"
  },
  "CAP_b56d77a4": {
   "en": "Port-Hamiltonian Policy Structuring",
   "zh": "端口哈密顿策略结构化",
   "level": "l3"
  },
  "CAP_9f65d01c": {
   "en": "Augmented Lagrangian Physics Constraints",
   "zh": "增广Lagrangian物理约束训练",
   "level": "l3"
  },
  "CAP_96c21cfa": {
   "en": "Physics-Quantity Extraction",
   "zh": "物理量提取",
   "level": "l3"
  },
  "CAP_d0fc0c47": {
   "en": "DPIA Structured Privacy Impact Assessment",
   "zh": "DPIA结构化隐私影响评估",
   "level": "l2"
  },
  "CAP_af055f06": {
   "en": "DPIA Scope Definition",
   "zh": "DPIA 范围界定",
   "level": "l3"
  },
  "CAP_60be0a05": {
   "en": "Data Flow Mapping for Privacy",
   "zh": "隐私数据流映射",
   "level": "l3"
  },
  "CAP_be2ee7dc": {
   "en": "Privacy Risk Assessment",
   "zh": "隐私风险评估",
   "level": "l3"
  },
  "CAP_2d1ef004": {
   "en": "Privacy Risk Mitigation Planning",
   "zh": "隐私风险缓解计划",
   "level": "l3"
  },
  "CAP_2162f4c3": {
   "en": "DPIA Report Generation",
   "zh": "DPIA 报告生成",
   "level": "l3"
  },
  "CAP_9747875a": {
   "en": "Privacy-as-Code CI/CD Continuous Compliance",
   "zh": "隐私即代码CI/CD持续合规",
   "level": "l2"
  },
  "CAP_07297914": {
   "en": "Privacy Policy as Code (fideslang)",
   "zh": "隐私策略即代码声明",
   "level": "l3"
  },
  "CAP_0188d981": {
   "en": "Codebase Privacy Scanning",
   "zh": "代码库隐私扫描",
   "level": "l3"
  },
  "CAP_fe0ffbe2": {
   "en": "CI/CD Privacy Gate",
   "zh": "CI/CD 隐私门禁",
   "level": "l3"
  },
  "CAP_fc72e2e7": {
   "en": "Privacy Violation Remediation",
   "zh": "隐私违规修复指导",
   "level": "l3"
  },
  "CAP_7be48822": {
   "en": "Continuous Compliance Dashboarding",
   "zh": "持续合规仪表盘",
   "level": "l3"
  },
  "CAP_891e8ed6": {
   "en": "Compliance Evidence Export",
   "zh": "合规证据导出",
   "level": "l3"
  },
  "CAP_3ffc201b": {
   "en": "Immutable Audit Log and Compliance Reporting",
   "zh": "不可篡改审计日志与合规报告",
   "level": "l2"
  },
  "CAP_cf168c5b": {
   "en": "Audit Event Generation",
   "zh": "审计事件生成",
   "level": "l3"
  },
  "CAP_047abc6d": {
   "en": "Immutable Log Anchoring (Merkle Tree)",
   "zh": "不可篡改日志锚定（Merkle 树）",
   "level": "l3"
  },
  "CAP_6155cebb": {
   "en": "Log Integrity Verification",
   "zh": "日志完整性验证",
   "level": "l3"
  },
  "CAP_06ddc56c": {
   "en": "SIEM-Based Privacy Event Correlation",
   "zh": "基于 SIEM 的隐私事件关联分析",
   "level": "l3"
  },
  "CAP_1797b5b2": {
   "en": "Compliance Report Generation for Audit",
   "zh": "审计合规报告生成",
   "level": "l3"
  },
  "CAP_e3ee7464": {
   "en": "AI/ML Model Privacy Risk Audit",
   "zh": "AI/ML模型隐私风险专项审计",
   "level": "l2"
  },
  "CAP_52ae0859": {
   "en": "ML Privacy Risk Assessment",
   "zh": "ML 隐私风险评估",
   "level": "l3"
  },
  "CAP_5bb156dd": {
   "en": "Differential Privacy Compliance Verification",
   "zh": "差分隐私合规验证",
   "level": "l3"
  },
  "CAP_2e6c80da": {
   "en": "Membership Inference Attack Testing",
   "zh": "成员推断攻击测试",
   "level": "l3"
  },
  "CAP_473ef58e": {
   "en": "Model Inversion Attack Testing",
   "zh": "模型反转攻击测试",
   "level": "l3"
  },
  "CAP_9e68a5f2": {
   "en": "Model Output Privacy Sanitization",
   "zh": "模型输出隐私脱敏",
   "level": "l3"
  },
  "CAP_c3e03779": {
   "en": "ML Privacy Compliance Report Generation",
   "zh": "ML 隐私合规报告生成",
   "level": "l3"
  },
  "CAP_1606ee16": {
   "en": "Partially Local Federated Personalization",
   "zh": "部分本地联邦个性化",
   "level": "l3"
  },
  "CAP_d3ec55ad": {
   "en": "Privacy-Preserving Federated Collaborative Filtering",
   "zh": "隐私保护联邦协同过滤",
   "level": "l2"
  },
  "CAP_2ce76438": {
   "en": "Virtual Rating Filling for Interaction Set Protection",
   "zh": "虚拟评分填充交互集合保护",
   "level": "l3"
  },
  "CAP_9772e1c2": {
   "en": "Distributed Matrix Factorization with Local Updates",
   "zh": "分布式矩阵分解本地更新",
   "level": "l3"
  },
  "CAP_3b57826d": {
   "en": "Additive Homomorphic Encryption for Gradients",
   "zh": "梯度加法同态加密",
   "level": "l3"
  },
  "CAP_70055649": {
   "en": "Ciphertext Weighted Averaging over Encrypted Updates",
   "zh": "加密更新密文加权聚合",
   "level": "l3"
  },
  "CAP_f725cf10": {
   "en": "Bloom Filter-based LDP Encoding",
   "zh": "基于Bloom Filter的LDP编码",
   "level": "l3"
  },
  "CAP_e0ef6161": {
   "en": "Count Mean Sketch Decoding",
   "zh": "Count Mean Sketch解码",
   "level": "l3"
  },
  "CAP_698e9980": {
   "en": "Isolated Sandbox Personalization Execution",
   "zh": "隔离沙箱个性化执行",
   "level": "l3"
  },
  "CAP_41716e8d": {
   "en": "Shuffle Model Privacy Amplification",
   "zh": "Shuffle模型隐私放大",
   "level": "l3"
  },
  "CAP_f83383ad": {
   "en": "Homomorphic Encryption and Secure Aggregation Personalization",
   "zh": "同态加密与安全聚合个性化",
   "level": "l2"
  },
  "CAP_c80874bf": {
   "en": "Secure Aggregation with Double Masking",
   "zh": "双掩码安全聚合",
   "level": "l3"
  },
  "CAP_f2fc29a9": {
   "en": "Key Management for HE and SecAgg",
   "zh": "HE/SecAgg密钥管理",
   "level": "l3"
  },
  "CAP_53f45bf2": {
   "en": "Batch Quantization for HE Communication Efficiency",
   "zh": "HE通信批量量化优化",
   "level": "l3"
  },
  "CAP_89a9e1e9": {
   "en": "Cross-Silo Encrypted Gradient Aggregation",
   "zh": "跨机构加密梯度聚合",
   "level": "l3"
  },
  "CAP_70345a29": {
   "en": "RDPPrivacyAccounting",
   "zh": "RDP隐私会计",
   "level": "l3"
  },
  "CAP_1d396580": {
   "en": "On-Device Personalized Inference",
   "zh": "端侧个性化推理",
   "level": "l3"
  },
  "CAP_c908495d": {
   "en": "Middleware Privilege Enforcement",
   "zh": "中间件权限强制",
   "level": "l2"
  },
  "CAP_8bcf2813": {
   "en": "DDS-Security Plugin Binding",
   "zh": "DDS-Security 插件绑定",
   "level": "l3"
  },
  "CAP_76e57966": {
   "en": "OS Process Sandboxing and Privilege Restriction",
   "zh": "OS级进程沙箱与权限限制",
   "level": "l2"
  },
  "CAP_254f1b3d": {
   "en": "Process Behavior Baseline Auditing",
   "zh": "进程行为基线审计",
   "level": "l3"
  },
  "CAP_721bb329": {
   "en": "Linux Capability Bounding Set Configuration",
   "zh": "Linux Capability边界集配置",
   "level": "l3"
  },
  "CAP_7daf115c": {
   "en": "NoNewPrivs Enforcement",
   "zh": "NO_NEW_PRIVS提权阻断",
   "level": "l3"
  },
  "CAP_52b61d07": {
   "en": "Seccomp BPF Syscall Whitelisting",
   "zh": "seccomp-bpf系统调用白名单",
   "level": "l3"
  },
  "CAP_ac0a3e59": {
   "en": "Systemd Service Sandbox Configuration",
   "zh": "systemd服务沙箱配置",
   "level": "l3"
  },
  "CAP_8d34e54c": {
   "en": "SELinux Policy Module Development",
   "zh": "SELinux策略模块开发",
   "level": "l3"
  },
  "CAP_75b2f921": {
   "en": "AppArmor Profile Authoring",
   "zh": "AppArmor配置文件编写",
   "level": "l3"
  },
  "CAP_b54cb074": {
   "en": "Sandbox Enforcement Validation and Iteration",
   "zh": "沙箱强制验证与策略迭代",
   "level": "l3"
  },
  "CAP_365e22d8": {
   "en": "Hardware-Level Safety Controller Privilege Partitioning",
   "zh": "硬件级安全控制器特权分区",
   "level": "l2"
  },
  "CAP_13f13a97": {
   "en": "Functional Safety Risk Assessment and SIL Determination",
   "zh": "功能安全风险评估与SIL/PL等级确定",
   "level": "l3"
  },
  "CAP_a1c74f9c": {
   "en": "Safety Controller Dual-Channel Configuration",
   "zh": "安全控制器双通道配置与独立性验证",
   "level": "l3"
  },
  "CAP_898e79f2": {
   "en": "Safety Parameter Configuration and Write Protection",
   "zh": "安全参数配置与写保护",
   "level": "l3"
  },
  "CAP_cde85580": {
   "en": "Safety Fieldbus Configuration and Black Channel Isolation",
   "zh": "安全总线配置与Black Channel隔离",
   "level": "l3"
  },
  "CAP_014d5bf7": {
   "en": "Controller Cybersecurity Hardening for Safety Isolation",
   "zh": "控制器网络安全加固与安全隔离增强",
   "level": "l3"
  },
  "CAP_3155423e": {
   "en": "Safety Validation and Penetration Testing",
   "zh": "安全验证与渗透测试",
   "level": "l3"
  },
  "CAP_3d9f521e": {
   "en": "Runtime Privilege Escalation Detection and Response",
   "zh": "运行时提权行为检测与响应",
   "level": "l2"
  },
  "CAP_1ab591c7": {
   "en": "Runtime Behavior Baseline Establishment",
   "zh": "运行时行为基线建立",
   "level": "l3"
  },
  "CAP_b07752dd": {
   "en": "eBPF Runtime Security Instrumentation",
   "zh": "eBPF运行时安全监控部署",
   "level": "l3"
  },
  "CAP_c10dcebd": {
   "en": "Privilege Escalation Detection Rule Engineering",
   "zh": "提权行为检测规则工程",
   "level": "l3"
  },
  "CAP_45a2e849": {
   "en": "Runtime Response and In-Kernel Enforcement",
   "zh": "运行时响应与内核态阻断",
   "level": "l3"
  },
  "CAP_3314afaa": {
   "en": "Runtime Security Validation and Tuning",
   "zh": "运行时安全验证与持续调优",
   "level": "l3"
  },
  "CAP_00849c9c": {
   "en": "Spatiotemporal Routine Object-Activity Prediction Pipeline",
   "zh": "时空日常物体-活动预测主动辅助管线",
   "level": "l2"
  },
  "CAP_95f50fa4": {
   "en": "Multi-Day Environment Graph Construction",
   "zh": "多日环境物体图构建",
   "level": "l3"
  },
  "CAP_253b88b3": {
   "en": "Activity Label Logging",
   "zh": "活动标签记录",
   "level": "l3"
  },
  "CAP_9a4a855e": {
   "en": "Activity-Object Co-occurrence Association",
   "zh": "活动-物体共现关联构建",
   "level": "l3"
  },
  "CAP_0936fc25": {
   "en": "Temporal Context Window Assembly",
   "zh": "时序上下文窗口组装",
   "level": "l3"
  },
  "CAP_55a5db55": {
   "en": "Next Activity Prediction",
   "zh": "下一步活动预测",
   "level": "l3"
  },
  "CAP_2d0ed079": {
   "en": "Next Object Prediction",
   "zh": "下一步物体预测",
   "level": "l3"
  },
  "CAP_685bc482": {
   "en": "Uncertainty-Gated LLM Reasoning for Assistance",
   "zh": "不确定性门控LLM辅助推理",
   "level": "l3"
  },
  "CAP_8daf097e": {
   "en": "Proactive Object Manipulation Execution",
   "zh": "主动物体操作执行",
   "level": "l3"
  },
  "CAP_0e1f2a3b": {
   "en": "Human Instance Detection for HOI",
   "zh": "HOI 人物实例检测",
   "level": "l3"
  },
  "CAP_4c5d6e7f": {
   "en": "Object Instance Detection for HOI",
   "zh": "HOI 物体实例检测",
   "level": "l3"
  },
  "CAP_2e3f4a5b": {
   "en": "Visual HOI Feature Encoding",
   "zh": "视觉HOI特征编码",
   "level": "l3"
  },
  "CAP_1a584e71": {
   "en": "Language Context Encoding",
   "zh": "语言上下文编码",
   "level": "l3"
  },
  "CAP_ffc73ec4": {
   "en": "HOI Activity Detection and Anticipation",
   "zh": "HOI/活动检测与预测",
   "level": "l3"
  },
  "CAP_82320a59": {
   "en": "Task Knowledge SOP Retrieval",
   "zh": "任务知识/SOP检索",
   "level": "l3"
  },
  "CAP_92d28751": {
   "en": "Assistance Candidate Generation",
   "zh": "辅助候选生成",
   "level": "l3"
  },
  "CAP_30e95ddd": {
   "en": "Non-Intrusive Timing Scoring",
   "zh": "非侵入性时机评分",
   "level": "l3"
  },
  "CAP_87c0703e": {
   "en": "Ask-or-Act Confidence Gating",
   "zh": "询问-执行置信度门控",
   "level": "l3"
  },
  "CAP_fd9dc327": {
   "en": "Assistance Action Execution (VLM/LLM)",
   "zh": "辅助动作执行（VLM/LLM链）",
   "level": "l3"
  },
  "CAP_66a94a0d": {
   "en": "Biosignal-Driven Physical Assistance Inference Pipeline",
   "zh": "生物信号驱动物理辅助模式/等级推断管线",
   "level": "l2"
  },
  "CAP_ff87b4f7": {
   "en": "Multi-Modal Physiological Signal Acquisition",
   "zh": "多模态生理信号采集",
   "level": "l3"
  },
  "CAP_46ebd606": {
   "en": "Motor Intent Decoding from Biosignals",
   "zh": "基于生物信号的运动意图解码",
   "level": "l3"
  },
  "CAP_46f39eb3": {
   "en": "Muscle Fatigue and Capability Estimation",
   "zh": "肌肉疲劳与残存能力估计",
   "level": "l3"
  },
  "CAP_cfcc2051": {
   "en": "Assistance Mode Inference",
   "zh": "辅助模式推断",
   "level": "l3"
  },
  "CAP_0b05a7e8": {
   "en": "Commit Timing and Hysteresis Gating",
   "zh": "执行时机与迟滞门控",
   "level": "l3"
  },
  "CAP_6a9601c3": {
   "en": "IK and Collision Feasibility Filtering",
   "zh": "逆运动学与碰撞可行性过滤",
   "level": "l3"
  },
  "CAP_fe498506": {
   "en": "Joint Torque Dispatch",
   "zh": "关节力矩下发",
   "level": "l3"
  },
  "CAP_15659a8e": {
   "en": "Worst-Status Dominance Propagation",
   "zh": "最差状态主导向上传播",
   "level": "l3"
  },
  "CAP_081d4d3c": {
   "en": "Multimodal Alert Actuation",
   "zh": "视觉听觉多通道告警执行",
   "level": "l3"
  },
  "CAP_4af586e4": {
   "en": "Alarm Acknowledgment and Closure State Machine",
   "zh": "告警确认与闭环复位状态机",
   "level": "l3"
  },
  "CAP_61439d97": {
   "en": "Multimodal Context Awareness for Proactive Notification",
   "zh": "面向主动通知的多模态上下文感知",
   "level": "l2"
  },
  "CAP_a8d6bed5": {
   "en": "Interruption Sensitivity and Breakpoint Prediction",
   "zh": "中断敏感度与断点预测",
   "level": "l3"
  },
  "CAP_a3987001": {
   "en": "Confidence-Guided LLM Reasoning Fallback",
   "zh": "置信度引导的LLM推理回退",
   "level": "l3"
  },
  "CAP_310f40ea": {
   "en": "Optimal Notification Timing Window",
   "zh": "最佳通知时机窗口计算",
   "level": "l3"
  },
  "CAP_3b68861a": {
   "en": "Interruption Cost-Benefit Assessment and Delivery Decision",
   "zh": "打扰成本评估与交付策略决策",
   "level": "l2"
  },
  "CAP_3ffc9090": {
   "en": "Notification Urgency Classification",
   "zh": "通知紧急度分级",
   "level": "l3"
  },
  "CAP_fd6f0473": {
   "en": "Modality Selection and Content Personalization",
   "zh": "通知模态选择与内容个性化",
   "level": "l3"
  },
  "CAP_154e58ec": {
   "en": "Notification Delivery Execution and Feedback Learning",
   "zh": "通知交付执行与反馈学习闭环",
   "level": "l2"
  },
  "CAP_8a7477ac": {
   "en": "Notification Signal Rendering",
   "zh": "通知信号物理渲染",
   "level": "l3"
  },
  "CAP_4ae9e00b": {
   "en": "SAT-Based Notification Content Structuring",
   "zh": "基于SAT模型的通知内容结构化",
   "level": "l3"
  },
  "CAP_3d0c32fd": {
   "en": "Expressive Modality Selection and Bandwidth Matching",
   "zh": "表达模态选择与带宽匹配",
   "level": "l3"
  },
  "CAP_3754052c": {
   "en": "LED Signal Encoding",
   "zh": "LED信号编码",
   "level": "l3"
  },
  "CAP_a0043379": {
   "en": "Projection-Based Spatial Notification",
   "zh": "投影式空间通知",
   "level": "l3"
  },
  "CAP_5ba602c3": {
   "en": "Auditory Signal Design and Rendering",
   "zh": "听觉信号设计与渲染",
   "level": "l3"
  },
  "CAP_52ca1987": {
   "en": "Legible Motion as Implicit Intent Communication",
   "zh": "作为隐式通信的可读运动",
   "level": "l3"
  },
  "CAP_914465ec": {
   "en": "Environment-Adaptive Rendering",
   "zh": "环境自适应渲染",
   "level": "l3"
  },
  "CAP_614434a0": {
   "en": "Progressive Attention Escalation",
   "zh": "渐进式注意力升级",
   "level": "l3"
  },
  "CAP_023da182": {
   "en": "Multimodal Acknowledgment Sensing",
   "zh": "多模态确认感知",
   "level": "l3"
  },
  "CAP_20d2535f": {
   "en": "Threshold-Based Safety Status Evaluation",
   "zh": "阈值安全状态判定",
   "level": "l3"
  },
  "CAP_bb71f19b": {
   "en": "Short-term Tool Prediction",
   "zh": "短期工具预测（活动知识库驱动）",
   "level": "l2"
  },
  "CAP_12723a43": {
   "en": "Goal Inference and Timing",
   "zh": "目标推断与时机预测",
   "level": "l2"
  },
  "CAP_eccc475a": {
   "en": "Grasp and Handover Execution",
   "zh": "抓取与递送执行",
   "level": "l2"
  },
  "CAP_ee37447f": {
   "en": "Sequential Task Action Recognition",
   "zh": "序贯任务人体动作识别",
   "level": "l3"
  },
  "CAP_4ef74bd9": {
   "en": "Activity Knowledge Bank Query",
   "zh": "活动知识库查询",
   "level": "l3"
  },
  "CAP_04b53e62": {
   "en": "Handover Timing Prediction",
   "zh": "递送时机预测",
   "level": "l3"
  },
  "CAP_bc3e8f49": {
   "en": "Workspace Tool Localization",
   "zh": "工作区工具定位",
   "level": "l3"
  },
  "CAP_43c86d05": {
   "en": "Longitudinal Routine Observation",
   "zh": "长时惯例观测",
   "level": "l2"
  },
  "CAP_18b93c0f": {
   "en": "Temporal Routine Prediction",
   "zh": "时序惯例预测",
   "level": "l2"
  },
  "CAP_1cc792de": {
   "en": "Confidence Evaluation and Query",
   "zh": "置信度评估与交互查询",
   "level": "l2"
  },
  "CAP_3ca6cd41": {
   "en": "Pre-Staging Mobile Manipulation",
   "zh": "预布置移动操作",
   "level": "l2"
  },
  "CAP_8b6b22d9": {
   "en": "Longitudinal Environment Monitoring",
   "zh": "长时环境与活动监测",
   "level": "l3"
  },
  "CAP_fced9755": {
   "en": "Routine Data Accumulation",
   "zh": "惯例数据积累与存储",
   "level": "l3"
  },
  "CAP_b7129acc": {
   "en": "Multi-Domain Observation Encoding",
   "zh": "多域观测编码",
   "level": "l3"
  },
  "CAP_52887eb1": {
   "en": "Sequential Latent Temporal Prediction",
   "zh": "潜空间时序预测",
   "level": "l3"
  },
  "CAP_02778676": {
   "en": "Routine Object Usage Decoding",
   "zh": "惯例物体使用解码",
   "level": "l3"
  },
  "CAP_67656294": {
   "en": "Pre-Staging Location Planning",
   "zh": "预布置位置规划",
   "level": "l3"
  },
  "CAP_efcad549": {
   "en": "Placement Verification",
   "zh": "放置验证",
   "level": "l3"
  },
  "CAP_6e22e978": {
   "en": "Affordance Detection and Verification",
   "zh": "可供性检测与验证",
   "level": "l2"
  },
  "CAP_e01c2689": {
   "en": "LLM Commonsense Tool Reasoning",
   "zh": "LLM 常识工具推理",
   "level": "l3"
  },
  "CAP_214ece6f": {
   "en": "RAG Tool Knowledge Retrieval",
   "zh": "RAG 工具知识检索",
   "level": "l3"
  },
  "CAP_438cce75": {
   "en": "Affordance Region Detection",
   "zh": "可供性区域检测",
   "level": "l3"
  },
  "CAP_273ba8eb": {
   "en": "Tool Availability Verification",
   "zh": "工具可用性验证",
   "level": "l3"
  },
  "CAP_e097c7a7": {
   "en": "VLM-Guided Grasp and Delivery",
   "zh": "VLM 引导抓取与递送",
   "level": "l3"
  },
  "CAP_7392c55e": {
   "en": "Filter-Based Probabilistic Data Association",
   "zh": "滤波式概率数据关联（PDAF/JPDAF）",
   "level": "l2"
  },
  "CAP_41040cd8": {
   "en": "PDA Association Probability Computation",
   "zh": "PDA关联概率计算",
   "level": "l3"
  },
  "CAP_e8695f26": {
   "en": "Probability-Weighted Innovation Update",
   "zh": "概率加权新息更新",
   "level": "l3"
  },
  "CAP_21ad6338": {
   "en": "Max-Mixture Factor Graph Probabilistic Data Association",
   "zh": "Max-Mixture 因子图概率数据关联",
   "level": "l2"
  },
  "CAP_20fd95ae": {
   "en": "Max-Mixture Factor Construction",
   "zh": "Max-Mixture 因子构建",
   "level": "l3"
  },
  "CAP_edd2d47d": {
   "en": "Proactive Max-Marginalization",
   "zh": "主动最大边际化",
   "level": "l3"
  },
  "CAP_5843a621": {
   "en": "Max-Mixtures Outlier Hypothesis",
   "zh": "Max-Mixtures 外点假设（Null-Hypothesis 外点拒绝）",
   "level": "l3"
  },
  "CAP_51551bf4": {
   "en": "Geometric-Semantic Likelihood Fusion",
   "zh": "几何-语义似然融合",
   "level": "l3"
  },
  "CAP_ad7c704e": {
   "en": "Incremental Factor Graph Optimization with MM Factors",
   "zh": "含 MM 因子的增量因子图优化",
   "level": "l3"
  },
  "CAP_1fcfa288": {
   "en": "Nonparametric RFS-Based Probabilistic Data Association",
   "zh": "非参数/随机有限集概率数据关联",
   "level": "l2"
  },
  "CAP_d7891779": {
   "en": "RBPF SLAM with PHD Map",
   "zh": "带PHD地图的Rao-Blackwellized粒子滤波SLAM",
   "level": "l3"
  },
  "CAP_d2d6ab37": {
   "en": "DP-CRP Nonparametric Association",
   "zh": "Dirichlet 过程 CRP 非参数关联",
   "level": "l3"
  },
  "CAP_0a23d1f0": {
   "en": "StatePrediction",
   "zh": "状态预测",
   "level": "l3"
  },
  "CAP_c9a97c78": {
   "en": "Monte Carlo Collision Sampling with Variance Reduction",
   "zh": "带方差缩减的蒙特卡洛碰撞采样",
   "level": "l3"
  },
  "CAP_5c36dc9f": {
   "en": "Risk Density Based Joint Collision Probability",
   "zh": "基于风险密度的联合碰撞概率计算",
   "level": "l3"
  },
  "CAP_7d684389": {
   "en": "Scenario Pruning for Probabilistic Safety Verification",
   "zh": "概率安全验证的场景剪枝",
   "level": "l3"
  },
  "CAP_8392e411": {
   "en": "Multi-Planner Risk-Threshold Gating and Selection",
   "zh": "多规划器风险阈值闸门选择",
   "level": "l3"
  },
  "CAP_966da886": {
   "en": "Importance Sampling for Rare-Event HRC Risk Assessment",
   "zh": "人机协作罕见事件风险重要性采样估计",
   "level": "l3"
  },
  "CAP_b36b0cc7": {
   "en": "Per-Stage Marginal Collision Probability Integration",
   "zh": "逐阶段边际碰撞概率积分",
   "level": "l3"
  },
  "CAP_90b5a4a3": {
   "en": "Basic Event Reliability Data Assignment",
   "zh": "基本事件可靠性数据赋值",
   "level": "l3"
  },
  "CAP_d10fd5ca": {
   "en": "Event Tree Analysis (Accident Sequence Modeling)",
   "zh": "事件树分析（事故序列建模）",
   "level": "l3"
  },
  "CAP_37986625": {
   "en": "Monte Carlo Uncertainty Propagation for PRA",
   "zh": "PRA蒙特卡洛不确定性传播",
   "level": "l3"
  },
  "CAP_0e474226": {
   "en": "Dynamic PRA (DDET/CTMC/DEPM)",
   "zh": "动态概率风险评估",
   "level": "l3"
  },
  "CAP_d711a26e": {
   "en": "Autonomous Warehouse Robot System PRA",
   "zh": "自主仓储机器人系统级PRA",
   "level": "l3"
  },
  "CAP_ecead729": {
   "en": "Safety Category Architecture Design (B/1/2/3/4)",
   "zh": "安全类别架构设计（B/1/2/3/4）",
   "level": "l3"
  },
  "CAP_72365b22": {
   "en": "ISO/TS 15066 PFL Biomechanical Limit Verification",
   "zh": "ISO/TS 15066功率力限制生物力学限值验证",
   "level": "l3"
  },
  "CAP_218a8f64": {
   "en": "CE Marking and Technical File Compilation",
   "zh": "CE标识与技术文件编制",
   "level": "l3"
  },
  "CAP_5a655b7e": {
   "en": "Importance Sampling for Rare Event Estimation",
   "zh": "重要性采样稀有事件估计",
   "level": "l3"
  },
  "CAP_8e44fdaa": {
   "en": "Uncertainty-Aware Dynamic Obstacle Modeling",
   "zh": "不确定性感知动态障碍建模",
   "level": "l3"
  },
  "CAP_a40ac6c5": {
   "en": "RDDL/PPDDL Declarative Factored Transition Modeling",
   "zh": "RDDL/PPDDL 声明式 factored 转移建模",
   "level": "l2"
  },
  "CAP_09cbd56e": {
   "en": "RDDL/PPDDL Domain File Parsing",
   "zh": "RDDL/PPDDL 域文件解析",
   "level": "l3"
  },
  "CAP_c1557fef": {
   "en": "Lifted-to-Ground CPF Instantiation",
   "zh": "Lifted-to-Ground CPF 实例化",
   "level": "l3"
  },
  "CAP_59942870": {
   "en": "CPF Topological Sort and DBN Dependency Graph",
   "zh": "CPF 拓扑排序与 DBN 依赖图构建",
   "level": "l3"
  },
  "CAP_32157d4c": {
   "en": "RDDL Probabilistic Distribution Sampling",
   "zh": "RDDL 概率分布采样",
   "level": "l3"
  },
  "CAP_bc1527ca": {
   "en": "Ordered CPF Evaluation with Concurrent Actions",
   "zh": "按拓扑序 CPF 求值与并发动作叠加",
   "level": "l3"
  },
  "CAP_c15a684d": {
   "en": "Action Precondition and State Invariant Enforcement",
   "zh": "动作前置条件与状态不变式检查",
   "level": "l3"
  },
  "CAP_ddba70d5": {
   "en": "Reward and Termination Evaluation",
   "zh": "奖励与终止条件求值",
   "level": "l3"
  },
  "CAP_5b0d195d": {
   "en": "Gymnasium Interface Export",
   "zh": "Gymnasium 标准接口封装",
   "level": "l3"
  },
  "CAP_bc7a9bba": {
   "en": "GP Difference Transform and Normalization",
   "zh": "GP 差分变换与归一化预处理",
   "level": "l3"
  },
  "CAP_42c3cdcc": {
   "en": "GP Posterior Predictive Query",
   "zh": "GP 后验预测查询",
   "level": "l3"
  },
  "CAP_12ffc159": {
   "en": "GP Transition Model Interface Export",
   "zh": "GP 转移模型接口导出",
   "level": "l3"
  },
  "CAP_2ef9c769": {
   "en": "PE NN Gaussian Head and NLL Loss",
   "zh": "PE NN 高斯概率头与 NLL 损失",
   "level": "l3"
  },
  "CAP_ad869711": {
   "en": "Ensemble Model Save and Inference API Export",
   "zh": "集成模型保存与推理接口导出",
   "level": "l3"
  },
  "CAP_eefaff06": {
   "en": "World Model Serialization and Latent Transition API Export",
   "zh": "世界模型序列化与潜在转移接口导出",
   "level": "l3"
  },
  "CAP_c1cca554": {
   "en": "Sensor Stream Ingestion",
   "zh": "传感器数据流接入",
   "level": "l3"
  },
  "CAP_dfa975dd": {
   "en": "Pointcloud World Frame Transform",
   "zh": "点云世界坐标系变换",
   "level": "l3"
  },
  "CAP_4b37c6f3": {
   "en": "Continuous Kernel-Based Occupancy Mapping",
   "zh": "连续核函数占据建图",
   "level": "l3"
  },
  "CAP_39b86d16": {
   "en": "Range Observation Construction for Kernel Mapping",
   "zh": "核建图射线观测构建",
   "level": "l3"
  },
  "CAP_625e524c": {
   "en": "Training Data Sparsification for Kernel Mapping",
   "zh": "核建图训练数据稀疏化",
   "level": "l3"
  },
  "CAP_7417d4f0": {
   "en": "Kernel Occupancy Model Update",
   "zh": "核占据模型更新",
   "level": "l3"
  },
  "CAP_b3d36f48": {
   "en": "Gaussian Process Occupancy Classification",
   "zh": "高斯过程占据分类",
   "level": "l3"
  },
  "CAP_00f0939a": {
   "en": "Sparse Kernel Perceptron Occupancy Mapping",
   "zh": "稀疏核感知机占据建图",
   "level": "l3"
  },
  "CAP_6a33fd01": {
   "en": "Bayesian Generalized Kernel Inference for Occupancy Densification",
   "zh": "贝叶斯广义核推断占据稠密化",
   "level": "l3"
  },
  "CAP_4add1b98": {
   "en": "Temporal Forgetting for Dynamic Kernel Maps",
   "zh": "动态核地图时序遗忘",
   "level": "l3"
  },
  "CAP_5e71d405": {
   "en": "Kernel Occupancy Predictive Mean and Variance",
   "zh": "核占据预测均值与方差",
   "level": "l3"
  },
  "CAP_bf763fe4": {
   "en": "Variance-Based Unknown Region Identification",
   "zh": "基于方差的未知区域识别",
   "level": "l3"
  },
  "CAP_e201b5f5": {
   "en": "Kernel Map Query and Serving",
   "zh": "核地图查询服务",
   "level": "l3"
  },
  "CAP_02c7bbb1": {
   "en": "Kernel Map Serialization",
   "zh": "核地图序列化",
   "level": "l3"
  },
  "CAP_5ae59ce5": {
   "en": "Dempster-Shafer Evidential 3D Occupancy Mapping",
   "zh": "D-S证据理论三维占据建图",
   "level": "l3"
  },
  "CAP_c7b12971": {
   "en": "Evidential Conflict Detection and Handling",
   "zh": "证据冲突检测与处理",
   "level": "l3"
  },
  "CAP_cb83f2e6": {
   "en": "Kernel-Based Dirichlet BBA Inference",
   "zh": "核推断Dirichlet基本信念分配",
   "level": "l3"
  },
  "CAP_e7ea2093": {
   "en": "PHD/MIB Particle Prediction in D-S Domain",
   "zh": "D-S域PHD/MIB粒子预测",
   "level": "l3"
  },
  "CAP_2f7fddb3": {
   "en": "Particle-to-BBA PHD Conversion",
   "zh": "粒子到BBA的PHD转换",
   "level": "l3"
  },
  "CAP_73fae81e": {
   "en": "Rule-Based Procedural Scene Generation Pipeline",
   "zh": "规则式程序化场景生成流水线",
   "level": "l2"
  },
  "CAP_ea06ab24": {
   "en": "Fully Procedural Asset Generation",
   "zh": "全程序化资产生成",
   "level": "l3"
  },
  "CAP_125f6af0": {
   "en": "Procedural Geometry Generation",
   "zh": "程序化几何体生成",
   "level": "l3"
  },
  "CAP_06c8e18b": {
   "en": "House Specification Sampling",
   "zh": "房屋规格采样",
   "level": "l3"
  },
  "CAP_18d6b7d6": {
   "en": "Procedural Scene Rendering and Interaction",
   "zh": "程序化场景渲染与交互",
   "level": "l3"
  },
  "CAP_15f588d4": {
   "en": "Constraint-Based Scene Arrangement",
   "zh": "约束驱动场景布局",
   "level": "l3"
  },
  "CAP_8c454551": {
   "en": "Generated Geometry Sim Import",
   "zh": "生成几何仿真器导入",
   "level": "l3"
  },
  "CAP_599f89ae": {
   "en": "In-Scene Lighting Randomization",
   "zh": "场景内光照随机化",
   "level": "l3"
  },
  "CAP_6c128fa7": {
   "en": "In-Scene Material Randomization",
   "zh": "场景内材质随机化",
   "level": "l3"
  },
  "CAP_cb2fd3e4": {
   "en": "Ray-Traced Rendering and Annotation Capture",
   "zh": "光线追踪渲染与标注捕获",
   "level": "l3"
  },
  "CAP_2f049dec": {
   "en": "Constraint-Based Floorplan Generation",
   "zh": "约束驱动平面图生成",
   "level": "l3"
  },
  "CAP_3f894cb2": {
   "en": "Floorplan-to-3D Structure Extrusion",
   "zh": "平面图到3D结构挤出",
   "level": "l3"
  },
  "CAP_28f6fc79": {
   "en": "Procedural Lighting Configuration Sampling",
   "zh": "程序化光照配置采样",
   "level": "l3"
  },
  "CAP_574649e9": {
   "en": "Procedural Asset Geometry Generation (Zero-Asset)",
   "zh": "零资产程序化几何体生成",
   "level": "l3"
  },
  "CAP_30ffdbb9": {
   "en": "Asset Library-Based Object Sampling",
   "zh": "资产库物体采样",
   "level": "l3"
  },
  "CAP_2608c4b2": {
   "en": "Semantically Plausible Object Placement",
   "zh": "语义合理物体放置",
   "level": "l3"
  },
  "CAP_e0c05be0": {
   "en": "Procedural Material & Texture Assignment",
   "zh": "程序化材质与纹理分配",
   "level": "l3"
  },
  "CAP_9a77b228": {
   "en": "Base/Seed Scene Loading",
   "zh": "基础/种子场景加载",
   "level": "l3"
  },
  "CAP_bf88308a": {
   "en": "DR Parameter Sampling Range Definition",
   "zh": "DR参数采样范围定义",
   "level": "l3"
  },
  "CAP_c4d234ef": {
   "en": "Lighting Randomization",
   "zh": "光照随机化",
   "level": "l3"
  },
  "CAP_87a1d54d": {
   "en": "Material Randomization",
   "zh": "材质随机化",
   "level": "l3"
  },
  "CAP_7ae8a040": {
   "en": "Object Placement & Count Randomization",
   "zh": "物体位置与数量随机化",
   "level": "l3"
  },
  "CAP_c058dd36": {
   "en": "Camera Pose & Intrinsics Randomization",
   "zh": "相机位姿与内参随机化",
   "level": "l3"
  },
  "CAP_74d7ea99": {
   "en": "Randomized Variant Scene Export",
   "zh": "随机化变体场景导出",
   "level": "l3"
  },
  "CAP_de7f49ee": {
   "en": "DR-Ready Prefab Pool Sampling",
   "zh": "DR-Ready预制体池采样",
   "level": "l3"
  },
  "CAP_c287c742": {
   "en": "Learning-Based Scene Layout Synthesis Pipeline",
   "zh": "学习式场景布局合成流水线",
   "level": "l2"
  },
  "CAP_4b7b22d4": {
   "en": "3D Scene SDF and Mesh Extraction",
   "zh": "3D场景SDF与网格提取",
   "level": "l3"
  },
  "CAP_9adf549d": {
   "en": "Scene Traversability Estimation",
   "zh": "场景可通行性估计",
   "level": "l3"
  },
  "CAP_46fe87c8": {
   "en": "3D-FRONT/3D-FUTURE Dataset Loading",
   "zh": "3D-FRONT/3D-FUTURE数据集加载",
   "level": "l3"
  },
  "CAP_072d268f": {
   "en": "Scene Graph and Layout Dataset Encoding",
   "zh": "场景图与布局数据集编码",
   "level": "l3"
  },
  "CAP_5edda285": {
   "en": "Layout Diffusion Denoising",
   "zh": "布局扩散去噪生成",
   "level": "l3"
  },
  "CAP_95df6bf2": {
   "en": "Scene Codec Encoding-Decoding",
   "zh": "场景编解码器编码-解码",
   "level": "l3"
  },
  "CAP_958a6eb5": {
   "en": "Prior-Guided Layout Refinement",
   "zh": "先验引导布局优化",
   "level": "l3"
  },
  "CAP_7b5a40b5": {
   "en": "Physical Plausibility Constraint Refinement",
   "zh": "物理合理性约束精修",
   "level": "l3"
  },
  "CAP_2a92b31e": {
   "en": "Mesh Retrieval and Placement from Learned Layout",
   "zh": "学习式布局网格检索与放置",
   "level": "l3"
  },
  "CAP_ed602c04": {
   "en": "Text-Conditioned Scene Layout Generation",
   "zh": "文本条件场景布局生成",
   "level": "l3"
  },
  "CAP_5bc91347": {
   "en": "LLM and Agent-Driven Interactive Scene Generation Pipeline",
   "zh": "LLM/Agent驱动交互式场景生成流水线",
   "level": "l2"
  },
  "CAP_3f9c3644": {
   "en": "Spatial Constraint Solver (DFS+MILP)",
   "zh": "空间约束求解器（DFS+MILP）",
   "level": "l3"
  },
  "CAP_24ed0aec": {
   "en": "Language-Conditioned Scene Generation",
   "zh": "语言条件场景生成",
   "level": "l3"
  },
  "CAP_ff8db2e5": {
   "en": "LLM High-Level Scene Planning",
   "zh": "LLM高层场景规划",
   "level": "l3"
  },
  "CAP_72e32a07": {
   "en": "CLIP-Guided Asset Retrieval and VLM Validation",
   "zh": "CLIP引导资产检索与VLM验证",
   "level": "l3"
  },
  "CAP_2c6f67a1": {
   "en": "Simulator Scene Instantiation and Code Generation",
   "zh": "仿真器场景实例化与代码生成",
   "level": "l3"
  },
  "CAP_262afa9b": {
   "en": "Iterative Self-Bootstrapping Generation",
   "zh": "迭代自举生成",
   "level": "l3"
  },
  "CAP_a997d685": {
   "en": "GPU Procedural Noise Texture Generation",
   "zh": "GPU噪声程序化纹理生成",
   "level": "l2"
  },
  "CAP_c1a1a81d": {
   "en": "UV Coordinate Setup and Tileability",
   "zh": "UV坐标空间建立与无缝平铺",
   "level": "l3"
  },
  "CAP_a703daf3": {
   "en": "GPU Noise Function Evaluation",
   "zh": "GPU噪声函数求值",
   "level": "l3"
  },
  "CAP_65fab348": {
   "en": "Fractal Brownian Motion Layering",
   "zh": "分形布朗运动多倍频叠加",
   "level": "l3"
  },
  "CAP_3aa3cf78": {
   "en": "Domain Warping",
   "zh": "域扭曲（坐标畸变）",
   "level": "l3"
  },
  "CAP_43662861": {
   "en": "Procedural Color Material Remapping",
   "zh": "程序化色彩与材质参数重映射",
   "level": "l3"
  },
  "CAP_0d93dae6": {
   "en": "Procedural Texture Rendering Engine Integration",
   "zh": "程序化纹理渲染引擎集成",
   "level": "l3"
  },
  "CAP_c7d307fb": {
   "en": "Animated Procedural Texture",
   "zh": "动画程序化纹理（时域噪声动画）",
   "level": "l3"
  },
  "CAP_3a88f75b": {
   "en": "Node Graph PBR Material Authoring",
   "zh": "节点图PBR材质程序化创作",
   "level": "l2"
  },
  "CAP_7ec08c75": {
   "en": "Procedural Node Graph Composition",
   "zh": "程序化节点图数据流组合",
   "level": "l3"
  },
  "CAP_de571ceb": {
   "en": "PBR Multi Channel Bake Export",
   "zh": "PBR多通道烘焙与导出",
   "level": "l3"
  },
  "CAP_7f243c6f": {
   "en": "Procedural Noise Node Library",
   "zh": "程序化噪声与图案节点库",
   "level": "l3"
  },
  "CAP_8e55f162": {
   "en": "Height to Normal AO Curvature Conversion",
   "zh": "高度图到法线/AO/曲率通道转换",
   "level": "l3"
  },
  "CAP_37bd0010": {
   "en": "SBSAR Parameterized Material Packaging",
   "zh": "SBSAR参数化材质打包与运行时集成",
   "level": "l3"
  },
  "CAP_fdb8a3f7": {
   "en": "Diffusion Based PBR Material Generation",
   "zh": "扩散模型PBR材质生成",
   "level": "l2"
  },
  "CAP_36631f5f": {
   "en": "Text Image Conditioned Texture Synthesis",
   "zh": "文本/图像条件引导的纹理图合成",
   "level": "l3"
  },
  "CAP_7365e1b4": {
   "en": "CHORD Rendering Decomposition",
   "zh": "CHORD链式渲染分解SVBRDF估计",
   "level": "l3"
  },
  "CAP_1cc56855": {
   "en": "Feature Rolling Tileability",
   "zh": "特征滚动无缝平铺技术",
   "level": "l3"
  },
  "CAP_dabb0414": {
   "en": "PBR Map Upscaling",
   "zh": "PBR贴图超分辨率放大",
   "level": "l3"
  },
  "CAP_73d65a8e": {
   "en": "LCM Fast Diffusion Distillation",
   "zh": "潜一致性模型快速扩散蒸馏",
   "level": "l3"
  },
  "CAP_7b4fa999": {
   "en": "EVPI-Based Optimal Clarification",
   "zh": "基于EVPI的最优澄清提问",
   "level": "l2"
  },
  "CAP_5952e562": {
   "en": "End-to-End VLM Multi-Turn Clarification",
   "zh": "端到端VLM多轮澄清对话",
   "level": "l2"
  },
  "CAP_f258d906": {
   "en": "Refined Instruction Synthesis & Execution",
   "zh": "精化指令合成与执行",
   "level": "l2"
  },
  "CAP_38738953": {
   "en": "Schema-Driven Slot-Filling Clarification",
   "zh": "Schema驱动槽位填充渐进澄清",
   "level": "l2"
  },
  "CAP_bff32440": {
   "en": "Aspect-Based Cost Modeling",
   "zh": "基于Aspect的成本建模",
   "level": "l3"
  },
  "CAP_2d5f3ca0": {
   "en": "Flow Action Execution",
   "zh": "Flow业务动作执行",
   "level": "l3"
  },
  "CAP_f12fc00d": {
   "en": "LLM Command Generator",
   "zh": "LLM命令生成器(In-Context Learning)",
   "level": "l3"
  },
  "CAP_d0d739b3": {
   "en": "Optimal Question Selection & Stopping",
   "zh": "最优问题选择与停止决策",
   "level": "l3"
  },
  "CAP_b641b562": {
   "en": "Schema & Flow Definition",
   "zh": "意图Schema与Flow定义",
   "level": "l3"
  },
  "CAP_ba608f2e": {
   "en": "Slot Selection Policy",
   "zh": "缺失槽位选择策略",
   "level": "l3"
  },
  "CAP_a6f70ab9": {
   "en": "Structured Belief Initialization",
   "zh": "结构化信念状态初始化",
   "level": "l3"
  },
  "CAP_696ff54b": {
   "en": "Progressive Neural Network Column Construction",
   "zh": "渐进式神经网络列构建",
   "level": "l2"
  },
  "CAP_3c0f1afb": {
   "en": "PNN Column Freezing",
   "zh": "PNN列冻结",
   "level": "l3"
  },
  "CAP_a8004659": {
   "en": "Lateral Connection with Nonlinear Adapter",
   "zh": "带非线性适配器的侧向连接",
   "level": "l3"
  },
  "CAP_879d2c0c": {
   "en": "PNN Output Layer Bootstrap Initialization",
   "zh": "PNN输出层安全引导初始化",
   "level": "l3"
  },
  "CAP_d92f4927": {
   "en": "PNN Sim Environment Setup",
   "zh": "PNN仿真环境搭建",
   "level": "l3"
  },
  "CAP_f06309ea": {
   "en": "PNN Convolutional Encoder Pretraining",
   "zh": "PNN卷积编码器预训练",
   "level": "l3"
  },
  "CAP_9c3654cb": {
   "en": "A3C-LSTM Policy Training for PNN",
   "zh": "PNN的A3C-LSTM策略训练",
   "level": "l3"
  },
  "CAP_6c1f29a9": {
   "en": "PNN Simulation Convergence Verification",
   "zh": "PNN仿真收敛验证",
   "level": "l3"
  },
  "CAP_c6a11c47": {
   "en": "PNN Initial Real-Robot Deployment",
   "zh": "PNN初始策略真机部署",
   "level": "l3"
  },
  "CAP_5e5488ba": {
   "en": "Sim-to-Real PNN Fine-tuning with Sparse Rewards",
   "zh": "稀疏奖励PNN真机微调",
   "level": "l3"
  },
  "CAP_90f14623": {
   "en": "Adaptive Forward Dynamics Model for PNN Transfer",
   "zh": "自适应动力学模型增强PNN迁移(PPTADM)",
   "level": "l3"
  },
  "CAP_ee82d1a1": {
   "en": "Meta-Policy PNN Transfer",
   "zh": "元策略PNN迁移(MetaPNN)",
   "level": "l3"
  },
  "CAP_c7c307be": {
   "en": "Real-to-Sim Visual Translation Bridge",
   "zh": "真实到仿真视觉翻译桥接",
   "level": "l2"
  },
  "CAP_3b740772": {
   "en": "Domain-Randomized Multi-Fidelity Simulation Setup",
   "zh": "域随机化多保真仿真环境搭建",
   "level": "l3"
  },
  "CAP_4620cd8f": {
   "en": "Privileged Teacher Convergence Verification",
   "zh": "特权教师策略收敛验证",
   "level": "l3"
  },
  "CAP_62a3cc28": {
   "en": "Paired/Pseudo-Paired Cross-Domain Data Collection",
   "zh": "跨域配对/伪配对数据收集",
   "level": "l3"
  },
  "CAP_2798b617": {
   "en": "Real-to-Sim Image Translation Model Training",
   "zh": "真实到仿真图像翻译模型训练(RCAN/CycleGAN/CUT)",
   "level": "l3"
  },
  "CAP_17ce9047": {
   "en": "Sim-to-Sim Policy Adaptation on Canonical Sim",
   "zh": "Canonical Sim上的Sim-to-Sim策略适配",
   "level": "l3"
  },
  "CAP_c444ce5d": {
   "en": "Real-World Translation-Policy Pipeline Deployment",
   "zh": "翻译-策略流水线真机部署",
   "level": "l3"
  },
  "CAP_35abfc90": {
   "en": "Small-Data Real-World Fine-tuning with Translation Bridge",
   "zh": "翻译桥接下的小数据真机微调",
   "level": "l3"
  },
  "CAP_0bce5c90": {
   "en": "LLM-Based Curriculum Design",
   "zh": "LLM课程设计",
   "level": "l2"
  },
  "CAP_77dc89a6": {
   "en": "Safe Real-World Curriculum Fine-tuning",
   "zh": "安全真机课程微调",
   "level": "l2"
  },
  "CAP_086c6630": {
   "en": "Curriculum Task Analysis and Design Space Definition",
   "zh": "课程任务分析与设计空间定义",
   "level": "l3"
  },
  "CAP_10915b71": {
   "en": "Stage-wise Policy Warm-Start Transfer",
   "zh": "分阶段策略热启动迁移",
   "level": "l3"
  },
  "CAP_57ffdbe7": {
   "en": "Curriculum Stage Convergence Evaluation",
   "zh": "课程阶段收敛评估",
   "level": "l3"
  },
  "CAP_48adaf9c": {
   "en": "Evolutionary Agent-Environment Co-Evolution",
   "zh": "进化式智能体-环境协同进化",
   "level": "l3"
  },
  "CAP_f5bf2af6": {
   "en": "Final Stage Policy Extraction",
   "zh": "最终阶段策略提取",
   "level": "l3"
  },
  "CAP_485e7956": {
   "en": "Curriculum-Based Sim-to-Real Deployment",
   "zh": "课程训练策略的虚实迁移",
   "level": "l3"
  },
  "CAP_0cedea6e": {
   "en": "Teacher-Arm Safety Hardware Setup",
   "zh": "教师机械臂安全硬件搭建",
   "level": "l3"
  },
  "CAP_2bbec7fe": {
   "en": "Low-Dimensional Latent Fine-tuning with FiLM Conditioning",
   "zh": "FiLM调制低维隐变量真机微调",
   "level": "l3"
  },
  "CAP_18ea481d": {
   "en": "L-BFGS Energy Minimization",
   "zh": "L-BFGS能量最小化",
   "level": "l3"
  },
  "CAP_63419dd9": {
   "en": "Final Mask Generation",
   "zh": "最终掩码生成",
   "level": "l3"
  },
  "CAP_b121347b": {
   "en": "Image Embedding Cache",
   "zh": "图像嵌入缓存复用",
   "level": "l3"
  },
  "CAP_8d7e43f7": {
   "en": "SAM Ambiguity Handling",
   "zh": "SAM歧义感知处理",
   "level": "l3"
  },
  "CAP_bbd4b45e": {
   "en": "FocSAM Focal Optimization",
   "zh": "FocSAM焦点优化器",
   "level": "l3"
  },
  "CAP_87c9f8f0": {
   "en": "Scribble-to-Mask Conversion",
   "zh": "交互信号转单帧掩码（S2M）",
   "level": "l3"
  },
  "CAP_b55020dc": {
   "en": "Space-Time Memory Propagation",
   "zh": "时空记忆掩码传播",
   "level": "l3"
  },
  "CAP_818cd461": {
   "en": "Top-k Memory Reading",
   "zh": "Top-k记忆读取过滤",
   "level": "l3"
  },
  "CAP_1a033b8f": {
   "en": "Difference-Aware Fusion",
   "zh": "差异感知多轮融合",
   "level": "l3"
  },
  "CAP_38fbd70c": {
   "en": "XMem Tri-Memory Architecture",
   "zh": "XMem三记忆架构",
   "level": "l3"
  },
  "CAP_02f92efe": {
   "en": "Multi-object Tracking in VOS",
   "zh": "视频多目标独立追踪",
   "level": "l3"
  },
  "CAP_a3714b82": {
   "en": "Final Masklet Output",
   "zh": "最终masklet序列输出",
   "level": "l3"
  },
  "CAP_e0b37d79": {
   "en": "SAM Prompt-driven Progressive Refinement",
   "zh": "SAM基础模型提示驱动渐进精修",
   "level": "l2"
  },
  "CAP_1b49606d": {
   "en": "Video Interactive Progressive Correction (iVOS)",
   "zh": "视频级渐进交互精修（iVOS）",
   "level": "l2"
  },
  "CAP_4fffe634": {
   "en": "Language-Grounded Manipulation Task Representation Learning",
   "zh": "语言接地的操作任务表征学习",
   "level": "l3"
  },
  "CAP_f6b6f398": {
   "en": "Affordance Structure Forecasting",
   "zh": "可供性结构预测",
   "level": "l3"
  },
  "CAP_c18ebaa6": {
   "en": "Within-Subtask Progress Prediction",
   "zh": "子任务内进度预测",
   "level": "l3"
  },
  "CAP_9147be5c": {
   "en": "Progress-Conditioned Action Generation",
   "zh": "进度条件动作生成",
   "level": "l3"
  },
  "CAP_3b8df4ef": {
   "en": "Hierarchical Language Motion Decoding",
   "zh": "层级语言动作解码",
   "level": "l3"
  },
  "CAP_e853009c": {
   "en": "Phase-Aware Attention Masking",
   "zh": "阶段感知注意力掩码",
   "level": "l3"
  },
  "CAP_6fce72b0": {
   "en": "Receding-Horizon Plan Prediction",
   "zh": "滚动时域计划预测",
   "level": "l3"
  },
  "CAP_dc844250": {
   "en": "Visual Trace/Condition Generation",
   "zh": "视觉轨迹条件生成",
   "level": "l3"
  },
  "CAP_699e347b": {
   "en": "Event-Triggered Progress Feedback",
   "zh": "事件触发进度反馈",
   "level": "l3"
  },
  "CAP_105ccd41": {
   "en": "Thinking-Acting Mode Switching",
   "zh": "思考-执行模式切换",
   "level": "l3"
  },
  "CAP_30bb7471": {
   "en": "Progressive Column Initialization",
   "zh": "渐进式网络列初始化",
   "level": "l3"
  },
  "CAP_3137a4b6": {
   "en": "Lateral Connection with MLP Adapter",
   "zh": "带MLP适配器的侧向连接",
   "level": "l3"
  },
  "CAP_0a0f1338": {
   "en": "Frozen-Parameter New Task Training",
   "zh": "冻结参数新任务训练",
   "level": "l3"
  },
  "CAP_9f6c266c": {
   "en": "Transfer Sensitivity Analysis (AFS/APS)",
   "zh": "迁移敏感性分析（AFS/APS）",
   "level": "l3"
  },
  "CAP_27b30384": {
   "en": "Task-Conditioned Inference",
   "zh": "任务条件推理",
   "level": "l3"
  },
  "CAP_2c376cf2": {
   "en": "PNN Pruning and Compression",
   "zh": "PNN剪枝与压缩",
   "level": "l3"
  },
  "CAP_a139beda": {
   "en": "DEN Selective Neuron-Level Dynamic Expansion",
   "zh": "DEN选择性神经元级动态扩展",
   "level": "l2"
  },
  "CAP_73f22994": {
   "en": "L1 Group Sparse Selective Retraining",
   "zh": "L1群组稀疏选择性重训练",
   "level": "l3"
  },
  "CAP_1a2f86ff": {
   "en": "BFS Affected Unit Selection",
   "zh": "BFS受影响单元选择",
   "level": "l3"
  },
  "CAP_a9d7d5c9": {
   "en": "Dynamic Neuron Addition",
   "zh": "动态神经元添加",
   "level": "l3"
  },
  "CAP_35ff6755": {
   "en": "Unit Splitting and Duplication",
   "zh": "单元分裂与复制",
   "level": "l3"
  },
  "CAP_b2f24409": {
   "en": "Timestamped Inference Routing",
   "zh": "时间戳推理路由",
   "level": "l3"
  },
  "CAP_fb9dd2b0": {
   "en": "KB+AC Dual Architecture Initialization",
   "zh": "知识库+主动列双组件初始化",
   "level": "l3"
  },
  "CAP_bbdfda64": {
   "en": "Active Column Progress-Phase Learning",
   "zh": "主动列Progress阶段学习（带侧向连接）",
   "level": "l3"
  },
  "CAP_ce44e218": {
   "en": "AC-to-KB Knowledge Distillation",
   "zh": "主动列到知识库知识蒸馏",
   "level": "l3"
  },
  "CAP_76bdb74a": {
   "en": "Task-Free KB Inference",
   "zh": "无任务标签知识库推理",
   "level": "l3"
  },
  "CAP_a0d9a570": {
   "en": "Perception-Control API Registration",
   "zh": "感知-控制API注册绑定",
   "level": "l3"
  },
  "CAP_aab2021d": {
   "en": "Generated Manipulation Code Execution",
   "zh": "生成操作代码执行",
   "level": "l3"
  },
  "CAP_3e9fd3d3": {
   "en": "Spatial-Geometric Prompt Trajectory Synthesis",
   "zh": "空间-几何Prompt轨迹合成",
   "level": "l2"
  },
  "CAP_6b97c990": {
   "en": "Affordance Map Driven Execution",
   "zh": "可供性地图驱动执行",
   "level": "l3"
  },
  "CAP_e41250a0": {
   "en": "DINOv2 Spatial Feature Extraction",
   "zh": "DINOv2空间特征提取",
   "level": "l3"
  },
  "CAP_63e8a54e": {
   "en": "ReKep Hierarchical Constraint Tightening",
   "zh": "ReKep 层级约束收紧",
   "level": "l3"
  },
  "CAP_c6c9c0d7": {
   "en": "Sensor-Pose Stream Ingestion and Voxelization",
   "zh": "传感器位姿流式接入与体素化",
   "level": "l3"
  },
  "CAP_a361564b": {
   "en": "Soft-Prompt VLA Adaptation",
   "zh": "可学习软提示VLA适配",
   "level": "l2"
  },
  "CAP_fa251357": {
   "en": "Embodiment-Specific Soft Prompt Injection",
   "zh": "本体特定软提示注入",
   "level": "l3"
  },
  "CAP_0ed842f6": {
   "en": "Divide-and-Conquer Multi-View Encoding",
   "zh": "分治多视角编码",
   "level": "l3"
  },
  "CAP_5d408bb2": {
   "en": "Memory Prompt Construction",
   "zh": "记忆软提示构建",
   "level": "l3"
  },
  "CAP_2f63be8d": {
   "en": "Trajectory Similarity Memory Retrieval",
   "zh": "轨迹相似度记忆检索",
   "level": "l3"
  },
  "CAP_1858fe71": {
   "en": "Dynamic Prompt Integration",
   "zh": "动态提示集成",
   "level": "l3"
  },
  "CAP_5231f931": {
   "en": "Soft-Prompt-Based Fast Embodiment Adaptation",
   "zh": "基于软提示的新本体快速适配",
   "level": "l3"
  },
  "CAP_56fc4891": {
   "en": "Environment State Code Injection",
   "zh": "环境状态代码注入",
   "level": "l3"
  },
  "CAP_b2a10002": {
   "en": "Hierarchical Code-Gen Subfunction Expansion",
   "zh": "分层代码生成子函数展开",
   "level": "l3"
  },
  "CAP_44edcbac": {
   "en": "Proxemic Gaussian Cost Computation",
   "zh": "近距高斯代价计算",
   "level": "l3"
  },
  "CAP_af037dd5": {
   "en": "Adaptive Proxemic Area with Group Detection",
   "zh": "自适应近距区域与群组检测",
   "level": "l3"
  },
  "CAP_6a54a943": {
   "en": "SFM-Augmented DWA Local Planning",
   "zh": "SFM增强DWA局部规划",
   "level": "l3"
  },
  "CAP_199d51f0": {
   "en": "VO-Augmented DRL Reward for Active Collision Avoidance",
   "zh": "速度障碍增强DRL主动避碰奖励",
   "level": "l3"
  },
  "CAP_f5c5138a": {
   "en": "VelocityCommandPublisher",
   "zh": "速度指令发布器",
   "level": "l3"
  },
  "CAP_26ad103f": {
   "en": "PTP Hardware Preparation",
   "zh": "PTP硬件准备",
   "level": "l2"
  },
  "CAP_93486fd0": {
   "en": "PTP Hardware Capability Check",
   "zh": "PTP硬件能力检测",
   "level": "l3"
  },
  "CAP_d7783bbc": {
   "en": "PTP Hardware Timestamp Enable",
   "zh": "PTP硬件时间戳使能",
   "level": "l3"
  },
  "CAP_e163b46f": {
   "en": "PTP Synchronization Protocol",
   "zh": "PTP同步协议运行",
   "level": "l2"
  },
  "CAP_2e51ad82": {
   "en": "PTP Protocol Engine",
   "zh": "PTP协议引擎与状态机",
   "level": "l3"
  },
  "CAP_879da7ba": {
   "en": "PTP Offset Delay Calculation",
   "zh": "PTP偏移与路径延迟计算",
   "level": "l3"
  },
  "CAP_70729ae3": {
   "en": "PTP Clock Servo",
   "zh": "PTP时钟PI伺服控制",
   "level": "l3"
  },
  "CAP_47250c37": {
   "en": "PTP System Integration and Monitoring",
   "zh": "PTP系统集成与监控",
   "level": "l2"
  },
  "CAP_fbcdce2b": {
   "en": "PTP Synchronization Monitoring",
   "zh": "PTP同步状态监控与诊断",
   "level": "l3"
  },
  "CAP_3d09fe56": {
   "en": "GPTP Synchronization and TSN Scheduling",
   "zh": "gPTP同步锁定与TSN调度协同",
   "level": "l2"
  },
  "CAP_258d03c6": {
   "en": "GPTP Time Distribution and Sensor Alignment",
   "zh": "gPTP全局时基分发与传感器对齐",
   "level": "l2"
  },
  "CAP_cc208548": {
   "en": "GPTP Hardware Capability Check",
   "zh": "gPTP车载PHY硬件能力检测",
   "level": "l3"
  },
  "CAP_b53d1462": {
   "en": "GPTP Pdelay Measurement",
   "zh": "gPTP P2P对等延迟与频率比测量",
   "level": "l3"
  },
  "CAP_de94fc34": {
   "en": "GPTP Sync Distribution",
   "zh": "gPTP Sync/Follow_Up时间分发与Bridge驻留修正",
   "level": "l3"
  },
  "CAP_3ae63259": {
   "en": "TSN Qbv Schedule Coordination",
   "zh": "TSN 802.1Qbv时间感知调度与gPTP时基协同",
   "level": "l3"
  },
  "CAP_cc685c95": {
   "en": "GPTP Multi-Sensor Timestamp Alignment",
   "zh": "gPTP多传感器时间戳对齐与监控",
   "level": "l3"
  },
  "CAP_52fb141d": {
   "en": "WR Hardware Setup and Link Establishment",
   "zh": "WR硬件部署与光纤链路建立",
   "level": "l2"
  },
  "CAP_914f5364": {
   "en": "WR SyncE Frequency Synchronization",
   "zh": "WR SyncE物理层频率同步与softPLL",
   "level": "l3"
  },
  "CAP_07451ffb": {
   "en": "WR DDMTD Phase Measurement",
   "zh": "WR DDMTD皮秒级相位测量",
   "level": "l3"
  },
  "CAP_f5f969f8": {
   "en": "WR Fiber Asymmetry Calibration",
   "zh": "WR光纤不对称校准与细同步锁定",
   "level": "l3"
  },
  "CAP_1bf359d3": {
   "en": "WR L1Sync Coherent Port",
   "zh": "WR IEEE 1588-2019 L1Sync相干端口协商",
   "level": "l3"
  },
  "CAP_ee9c1351": {
   "en": "WR Monitoring Holdover",
   "zh": "WR同步监控与holdover管理",
   "level": "l3"
  },
  "CAP_d6aa20d3": {
   "en": "Zero-Copy Pub/Sub Communication",
   "zh": "零拷贝发布订阅通信",
   "level": "l2"
  },
  "CAP_747df710": {
   "en": "micro-ROS Embedded MCU Pub/Sub",
   "zh": "micro-ROS嵌入式MCU发布订阅通信",
   "level": "l2"
  },
  "CAP_c06c6f0f": {
   "en": "rclcpp Publisher Creation",
   "zh": "rclcpp发布者创建",
   "level": "l3"
  },
  "CAP_9d85410a": {
   "en": "rclcpp Subscription Creation with Callback Binding",
   "zh": "rclcpp订阅者创建与回调绑定",
   "level": "l3"
  },
  "CAP_f7ceaba5": {
   "en": "Fast-CDR CDR Serialization and DDS Transmission",
   "zh": "Fast-CDR CDR序列化与DDS传输",
   "level": "l3"
  },
  "CAP_011475b7": {
   "en": "ROS2 Executor Runtime Scheduling",
   "zh": "ROS2 Executor运行时调度",
   "level": "l3"
  },
  "CAP_e7ca0c74": {
   "en": "Topic Statistics Enable Configuration",
   "zh": "话题统计启用配置",
   "level": "l3"
  },
  "CAP_0b170a94": {
   "en": "Image Transport Publishing",
   "zh": "图像传输发布",
   "level": "l3"
  },
  "CAP_64b9c262": {
   "en": "ROS2 Component Authoring and Registration",
   "zh": "ROS2组件编写与注册",
   "level": "l3"
  },
  "CAP_c38e7d00": {
   "en": "ROS2 Intra-Process Comms QoS Constraints",
   "zh": "ROS2进程内通信QoS约束",
   "level": "l3"
  },
  "CAP_8627d911": {
   "en": "Intra-Process Direct Connection",
   "zh": "进程内直接连接",
   "level": "l3"
  },
  "CAP_65652411": {
   "en": "UniquePtr Ownership Transfer Zero-Copy",
   "zh": "UniquePtr所有权转移零拷贝",
   "level": "l3"
  },
  "CAP_7bfc8515": {
   "en": "ROS2 Loaned Message Zero-Copy Borrowing",
   "zh": "ROS2 LoanedMessage零拷贝借用",
   "level": "l3"
  },
  "CAP_67f1ef05": {
   "en": "rmw iceoryx borrow-take Workflow",
   "zh": "rmw iceoryx借取工作流",
   "level": "l3"
  },
  "CAP_f1e44561": {
   "en": "rclcpp Loaned Message Fast-DDS",
   "zh": "rclcpp LoanedMessage Fast-DDS实现",
   "level": "l3"
  },
  "CAP_6df0bdd8": {
   "en": "rmw iceoryx POD Type Adaptation",
   "zh": "rmw iceoryx POD类型适配",
   "level": "l3"
  },
  "CAP_75a41e10": {
   "en": "Iceoryx Config Mempool and RouDi Launch",
   "zh": "iox_config.toml内存池与RouDi启动配置",
   "level": "l3"
  },
  "CAP_b990d684": {
   "en": "RMW Iceoryx Build and Switch",
   "zh": "rmw_iceoryx构建与RMW切换",
   "level": "l3"
  },
  "CAP_d4c73663": {
   "en": "Fast DDS SHM and Data Sharing Configuration",
   "zh": "Fast DDS共享内存与Data Sharing配置",
   "level": "l3"
  },
  "CAP_986c08a0": {
   "en": "rclc Static Memory Entity Creation",
   "zh": "rclc静态内存实体创建",
   "level": "l3"
  },
  "CAP_bb732ae9": {
   "en": "rclc Executor Spin Dispatch",
   "zh": "rclc执行器轮询调度",
   "level": "l3"
  },
  "CAP_ab6a9904": {
   "en": "Adaptive Lookahead Distance Calculation",
   "zh": "自适应预瞄距离计算",
   "level": "l3"
  },
  "CAP_abc24596": {
   "en": "Lookahead Point Search on Path",
   "zh": "路径预瞄点搜索",
   "level": "l3"
  },
  "CAP_4d730b79": {
   "en": "In-Place Rotation to Heading",
   "zh": "原地旋转到朝向",
   "level": "l3"
  },
  "CAP_aacba3ea": {
   "en": "Curvature-Based Velocity Regulation",
   "zh": "基于曲率的速度调节",
   "level": "l3"
  },
  "CAP_ece1648b": {
   "en": "Costmap Proximity Velocity Regulation",
   "zh": "基于障碍物接近度的速度调节",
   "level": "l3"
  },
  "CAP_0af97c65": {
   "en": "Arc Projection Collision Check",
   "zh": "圆弧投影碰撞检测",
   "level": "l3"
  },
  "CAP_077acc17": {
   "en": "Dynamic Window Pure Pursuit",
   "zh": "动态窗口纯追踪",
   "level": "l3"
  },
  "CAP_3b3730c9": {
   "en": "Path Coordinate Frame Transform",
   "zh": "路径坐标变换",
   "level": "l3"
  },
  "CAP_1f2be6ae": {
   "en": "Ackermann Pure Pursuit Lateral Controller",
   "zh": "Ackermann 纯追踪横向控制器插件",
   "level": "l2"
  },
  "CAP_5784c7a5": {
   "en": "Trajectory Nearest Point Search",
   "zh": "轨迹最近点搜索",
   "level": "l3"
  },
  "CAP_ab470954": {
   "en": "Velocity-Scaled Lookahead Distance for Ackermann",
   "zh": "Ackermann 车速缩放预瞄距离",
   "level": "l3"
  },
  "CAP_6ebddcd4": {
   "en": "Trajectory Lookahead Point Interpolation",
   "zh": "轨迹预瞄点插值",
   "level": "l3"
  },
  "CAP_2ec0a67a": {
   "en": "Pure Pursuit Steering Angle Calculation",
   "zh": "纯追踪转向角计算",
   "level": "l3"
  },
  "CAP_a8a0ef67": {
   "en": "Steering Angle Low-Pass Filtering",
   "zh": "转向角低通滤波",
   "level": "l3"
  },
  "CAP_fb88377a": {
   "en": "Steering Angle Convergence Detection",
   "zh": "转向角收敛检测",
   "level": "l3"
  },
  "CAP_f15fee1b": {
   "en": "Predicted Bicycle Trajectory Generation",
   "zh": "自行车模型预测轨迹生成",
   "level": "l3"
  },
  "CAP_62d6206c": {
   "en": "Ackermann Lateral Command Publishing",
   "zh": "Ackermann 横向命令发布",
   "level": "l3"
  },
  "CAP_6decbb6e": {
   "en": "Ground Speed Vector Complementary Filter",
   "zh": "地速向量互补滤波估计",
   "level": "l3"
  },
  "CAP_4b0d25e5": {
   "en": "L1 Dynamic Distance Calculation",
   "zh": "L1 动态距离计算",
   "level": "l3"
  },
  "CAP_3074c09e": {
   "en": "L1 Reference Point Geometric Selection",
   "zh": "L1 参考点几何选取",
   "level": "l3"
  },
  "CAP_14e47110": {
   "en": "L1 Lateral Acceleration Guidance Law",
   "zh": "L1 侧向加速度制导律",
   "level": "l3"
  },
  "CAP_29900779": {
   "en": "Waypoint Capture and Transition",
   "zh": "航点捕获与航段切换",
   "level": "l3"
  },
  "CAP_4ea960e2": {
   "en": "Lateral Acceleration to Bank Angle Conversion",
   "zh": "侧向加速度到横滚角转换",
   "level": "l3"
  },
  "CAP_4910b9f3": {
   "en": "Lateral Acceleration to Rover Steering Conversion",
   "zh": "侧向加速度到 Rover 转向转换",
   "level": "l3"
  },
  "CAP_2aec3fe9": {
   "en": "Loiter Circle PD Control",
   "zh": "盘旋圆弧 PD 控制",
   "level": "l3"
  },
  "CAP_8a97d4a4": {
   "en": "L1 Parameter Loading",
   "zh": "L1参数加载",
   "level": "l3"
  },
  "CAP_e10ce62d": {
   "en": "Vision-Guided Deterministic Push/Toggle Actuation",
   "zh": "视觉引导确定性按钮按压执行",
   "level": "l2"
  },
  "CAP_aa750396": {
   "en": "3D Button Localization",
   "zh": "3D 按钮位姿定位",
   "level": "l3"
  },
  "CAP_75d5aa95": {
   "en": "Press Confirmation and Failure Recovery",
   "zh": "按压触发确认与失败恢复",
   "level": "l2"
  },
  "CAP_47cda35c": {
   "en": "2D Button Candidate Detection",
   "zh": "2D 按钮候选检测（YOLO/经典 CV 双通道）",
   "level": "l3"
  },
  "CAP_836edb14": {
   "en": "Contextual Button Verification",
   "zh": "上下文几何按钮验证（网格/数字/尺寸）",
   "level": "l3"
  },
  "CAP_9293ba42": {
   "en": "Force-Position Hybrid Press Control",
   "zh": "力/位混合按压控制（位置接近+阻抗按压）",
   "level": "l3"
  },
  "CAP_b4c2e00d": {
   "en": "Multimodal Press Success Confirmation",
   "zh": "多模态按压成功确认（力+视觉+声音）",
   "level": "l3"
  },
  "CAP_6a78f0f7": {
   "en": "Press Failure Recovery",
   "zh": "按压失败恢复（撤回+微调+重试）",
   "level": "l3"
  },
  "CAP_43d5eb59": {
   "en": "RGB-D Capture and Depth Preprocessing",
   "zh": "RGB-D 采集与深度预处理",
   "level": "l3"
  },
  "CAP_13e0451d": {
   "en": "Affordance-Learning-Driven Push/Toggle Actuation",
   "zh": "可供性学习驱动的按压/拨动操作",
   "level": "l2"
  },
  "CAP_46e8cc6c": {
   "en": "3D Affordance Inference for Push/Toggle",
   "zh": "3D 可供性推理（按压/拨动）",
   "level": "l2"
  },
  "CAP_a34bf6df": {
   "en": "Action Primitive Selection",
   "zh": "动作原语选择",
   "level": "l3"
  },
  "CAP_dfea5528": {
   "en": "6-DoF Action Proposal for Push/Toggle",
   "zh": "按压/拨动 6D 动作提议",
   "level": "l3"
  },
  "CAP_9a13071e": {
   "en": "Simulation Interaction Data Collection",
   "zh": "仿真交互数据采集",
   "level": "l3"
  },
  "CAP_9475425c": {
   "en": "Affordance-Guided Motion Execution",
   "zh": "可供性引导动作执行",
   "level": "l2"
  },
  "CAP_8ca60fa9": {
   "en": "Affordance-Based Approach Trajectory",
   "zh": "可供性引导接近轨迹",
   "level": "l3"
  },
  "CAP_c02a9958": {
   "en": "Contact Execution for Learned Affordance",
   "zh": "学习型可供性接触执行",
   "level": "l3"
  },
  "CAP_a2f376e2": {
   "en": "Affordance-Based Outcome Evaluation and Closed-Loop",
   "zh": "可供性结果评估与闭环控制",
   "level": "l2"
  },
  "CAP_ec14c496": {
   "en": "Interaction Outcome Detection",
   "zh": "交互结果检测",
   "level": "l3"
  },
  "CAP_e7f3dc3a": {
   "en": "Closed-Loop Action Selection",
   "zh": "闭环动作选择",
   "level": "l3"
  },
  "CAP_d99e3c02": {
   "en": "VLA End-to-End Push/Toggle Policy",
   "zh": "VLA 端到端按压/拨动策略",
   "level": "l3"
  },
  "CAP_c50e2359": {
   "en": "VLM Keypoint Affordance Grounding",
   "zh": "VLM 关键点可供性定位",
   "level": "l3"
  },
  "CAP_bdfa4a3a": {
   "en": "Visuotactile Force-Controlled Precision Push/Toggle",
   "zh": "视触觉力控精密按压/拨动",
   "level": "l1"
  },
  "CAP_c4663db7": {
   "en": "Visuotactile Sensor Setup and Calibration",
   "zh": "视触觉多传感器配置与标定",
   "level": "l3"
  },
  "CAP_e86c6e2c": {
   "en": "Pre-contact Visuotactile Fine Alignment",
   "zh": "视触觉预接触精密对准",
   "level": "l3"
  },
  "CAP_d0ef544e": {
   "en": "Multimodal Contact Detection",
   "zh": "多模态接触检测",
   "level": "l3"
  },
  "CAP_a855c385": {
   "en": "Tactile-Guided Admittance Force Control for Press/Toggle",
   "zh": "触觉引导导纳力控按压/拨动",
   "level": "l3"
  },
  "CAP_d23c3737": {
   "en": "Tactile Slip Detection and Pose Correction",
   "zh": "触觉滑移检测与位姿修正",
   "level": "l3"
  },
  "CAP_894bf4f5": {
   "en": "Multi-Modal Click/Success Event Detection",
   "zh": "多模态咔哒到位事件检测",
   "level": "l3"
  },
  "CAP_64cd62e7": {
   "en": "Visuotactile Failure-Aware Retry Policy",
   "zh": "视触觉失败感知重试策略",
   "level": "l3"
  },
  "CAP_605cd9e2": {
   "en": "Visuotactile Diffusion Policy Learning",
   "zh": "视触觉扩散策略学习",
   "level": "l3"
  },
  "CAP_cc020101": {
   "en": "Tactile Sensor Contact Detection",
   "zh": "触觉传感器接触检测",
   "level": "l3"
  },
  "CAP_69e30516": {
   "en": "Variable Admittance Control",
   "zh": "变导纳控制",
   "level": "l3"
  },
  "CAP_b4ce95f2": {
   "en": "Offline TO + Convex MPC/WBC Quadruped Backflip Control",
   "zh": "离线轨迹优化+凸MPC/WBC四足后空翻控制",
   "level": "l2"
  },
  "CAP_bf69e7df": {
   "en": "Mini Cheetah Full-Body Direct Collocation Backflip Trajectory Optimization",
   "zh": "Mini Cheetah 全刚体直接配点后空翻轨迹优化",
   "level": "l3"
  },
  "CAP_858b6798": {
   "en": "Mini Cheetah Proprioception-Only EKF State Estimation",
   "zh": "Mini Cheetah 纯本体感受 EKF 状态估计",
   "level": "l3"
  },
  "CAP_b1534b11": {
   "en": "Actuator Identification and Modeling for Quadruped Sim-to-Real",
   "zh": "四足 sim-to-real 执行器辨识与建模",
   "level": "l3"
  },
  "CAP_7c14a9fb": {
   "en": "Acrobatic Backflip Domain Randomization Parameter Set",
   "zh": "后空翻特技域随机化参数集",
   "level": "l3"
  },
  "CAP_09c11384": {
   "en": "Trajectory Optimization Reference for Imitation",
   "zh": "模仿学习参考轨迹优化",
   "level": "l3"
  },
  "CAP_a8d70ebb": {
   "en": "Quadruped Backflip Imitation Reward Design",
   "zh": "四足后空翻模仿奖励函数设计",
   "level": "l3"
  },
  "CAP_b326cd4e": {
   "en": "Acrobatic Flip Angle Curriculum Learning",
   "zh": "特技翻转角度课程学习调度",
   "level": "l3"
  },
  "CAP_cd9b7935": {
   "en": "Gallop Gait Phase Scheduling",
   "zh": "Gallop四腿相位偏移调度",
   "level": "l3"
  },
  "CAP_3b343394": {
   "en": "Aerial Phase Handling in MPC/WBIC",
   "zh": "MPC/WBIC腾空相处理",
   "level": "l3"
  },
  "CAP_a368de84": {
   "en": "Proprioceptive Impact Mitigation",
   "zh": "本体感受着地阻抗缓冲",
   "level": "l3"
  },
  "CAP_4a1ec328": {
   "en": "Trot-to-Gallop Transition (Throw-and-Catch)",
   "zh": "Trot到Gallop步态过渡（Throw-and-Catch策略）",
   "level": "l3"
  },
  "CAP_08f2be39": {
   "en": "Velocity Curriculum Progressive Training",
   "zh": "速度课程渐进训练",
   "level": "l3"
  },
  "CAP_cf0a5dab": {
   "en": "Domain Randomization for Gallop",
   "zh": "奔跑步态域随机化",
   "level": "l3"
  },
  "CAP_95a606ca": {
   "en": "Motor Operating Region Constraints for High-Speed RL",
   "zh": "电机工作区域约束（高速RL训练）",
   "level": "l3"
  },
  "CAP_468d7818": {
   "en": "SLIP Template Dynamics for Quadrupedal Running",
   "zh": "SLIP模板动力学（四足奔跑）",
   "level": "l3"
  },
  "CAP_ed5b14c4": {
   "en": "D-SLIP Double Support Template",
   "zh": "D-SLIP双腿支撑模板",
   "level": "l3"
  },
  "CAP_f9af93fe": {
   "en": "Virtual Leg Mapping for Quadruped Gaits",
   "zh": "四足步态虚拟腿映射",
   "level": "l3"
  },
  "CAP_865fc776": {
   "en": "Spine-Coordinated Gallop (Spine-SLIP)",
   "zh": "脊柱协调Gallop（Spine-SLIP扩展）",
   "level": "l3"
  },
  "CAP_1d750778": {
   "en": "Convex MPC WBIC Jump Control",
   "zh": "凸MPC+WBIC在线跳跃控制",
   "level": "l2"
  },
  "CAP_abf285cf": {
   "en": "Contact-Timing Full-Body TO Acrobatic Jump",
   "zh": "接触时序优化+全身轨迹优化特技跳跃控制",
   "level": "l2"
  },
  "CAP_5d6ff6fb": {
   "en": "DRL Robust Quadruped Jump",
   "zh": "深度强化学习鲁棒四足跳跃控制",
   "level": "l2"
  },
  "CAP_be1ac94a": {
   "en": "SO3 Rotation Matrix Dynamics",
   "zh": "SO3旋转矩阵动力学建模",
   "level": "l3"
  },
  "CAP_31ea50e6": {
   "en": "Domain Randomization for Legged Jump",
   "zh": "四足跳跃域随机化",
   "level": "l3"
  },
  "CAP_108cebbe": {
   "en": "TO-Warmstarted RL Jump Training",
   "zh": "轨迹优化引导的强化学习跳跃训练",
   "level": "l3"
  },
  "CAP_e35e7ec9": {
   "en": "Motor Dynamics Constrained RL",
   "zh": "电机动力学约束强化学习",
   "level": "l3"
  },
  "CAP_b337865e": {
   "en": "Curriculum Learning for Robust Jump",
   "zh": "跳跃课程学习",
   "level": "l3"
  },
  "CAP_accffee0": {
   "en": "Traversability Cost Map Fusion",
   "zh": "可通行性代价图融合",
   "level": "l3"
  },
  "CAP_6c161d80": {
   "en": "Contact Schedule and Swing Height Adaptation",
   "zh": "接触调度与抬腿高度自适应",
   "level": "l3"
  },
  "CAP_0f80b972": {
   "en": "Proprioceptive Sensor Synchronization",
   "zh": "本体感知传感器同步采集",
   "level": "l3"
  },
  "CAP_f3a7b17b": {
   "en": "Observation Normalization for Legged RL",
   "zh": "腿足RL观测归一化",
   "level": "l3"
  },
  "CAP_f4164980": {
   "en": "Proprioceptive History Buffer",
   "zh": "本体感受历史窗口缓冲",
   "level": "l3"
  },
  "CAP_58f00fa7": {
   "en": "PD Torque Control for Legged RL",
   "zh": "腿足RL策略PD力矩控制",
   "level": "l3"
  },
  "CAP_d8659e89": {
   "en": "RL Policy Heightmap Observation Encoding",
   "zh": "RL策略高度图观测编码",
   "level": "l3"
  },
  "CAP_bc2243ca": {
   "en": "Attention Encoder Perceptual-Motor Fusion",
   "zh": "注意力编码器感知运动融合",
   "level": "l3"
  },
  "CAP_3deabfef": {
   "en": "Proprioceptive History Encoding",
   "zh": "本体感受历史GRU编码",
   "level": "l3"
  },
  "CAP_9da16c61": {
   "en": "Exteroceptive Heightmap Encoding",
   "zh": "外部感知高度图编码",
   "level": "l3"
  },
  "CAP_fbd024eb": {
   "en": "Perceptive RL Policy Inference",
   "zh": "感知RL策略推理",
   "level": "l3"
  },
  "CAP_d5df1a02": {
   "en": "Parkour Skill Policy",
   "zh": "Parkour高动态越障策略",
   "level": "l3"
  },
  "CAP_c8bc554c": {
   "en": "Low Reflex Feedback Layer",
   "zh": "低层反射反馈层",
   "level": "l2"
  },
  "CAP_f7ff18b4": {
   "en": "HAPTR Terrain Classification",
   "zh": "HAPTR触觉地形分类",
   "level": "l3"
  },
  "CAP_e312c6e0": {
   "en": "Terrain-Class-Driven Gait Parameter Adjustment",
   "zh": "地形类别驱动步态参数调整",
   "level": "l3"
  },
  "CAP_b82bd23a": {
   "en": "Sensory Feedback CPG Modulation",
   "zh": "感觉反馈上行调制CPG与反射触发",
   "level": "l3"
  },
  "CAP_5512aa63": {
   "en": "Tactile Vibration Signal Acquisition",
   "zh": "触觉振动信号采集",
   "level": "l3"
  },
  "CAP_d36d639b": {
   "en": "Gait Phase Alignment",
   "zh": "步态相位对齐与触地检测",
   "level": "l3"
  },
  "CAP_8877c2f1": {
   "en": "Quadruped Trot Control",
   "zh": "四足对角步控制",
   "level": "l3"
  },
  "CAP_8887de90": {
   "en": "Velocity Command Parsing",
   "zh": "速度指令解析与限幅",
   "level": "l3"
  },
  "CAP_0e45f3aa": {
   "en": "Proprioceptive Body State Estimation",
   "zh": "本体感受机体状态估计",
   "level": "l3"
  },
  "CAP_7a7d3738": {
   "en": "Trot Gait Control (Convex MPC+WBC)",
   "zh": "四足对角小跑控制（Convex MPC+WBC 范式）",
   "level": "l2"
  },
  "CAP_0ebaf089": {
   "en": "MPC Reference Trajectory Generation",
   "zh": "MPC 参考轨迹生成",
   "level": "l3"
  },
  "CAP_ce2fca53": {
   "en": "MPC QP Encoding",
   "zh": "MPC QP 编码",
   "level": "l3"
  },
  "CAP_05675920": {
   "en": "WBC Friction Cone Linearization",
   "zh": "接触摩擦锥线性化与 CoP 约束构造",
   "level": "l3"
  },
  "CAP_6d299e6d": {
   "en": "WBC QP Construction for Recovery",
   "zh": "WBC QP 构造（通用）",
   "level": "l3"
  },
  "CAP_d0d2c04c": {
   "en": "Trot Gait Control (Deep RL Sim-to-Real)",
   "zh": "四足对角小跑控制（深度强化学习 Sim-to-Real 范式）",
   "level": "l2"
  },
  "CAP_261938f0": {
   "en": "Action Scaling Joint Target",
   "zh": "动作缩放与关节目标映射",
   "level": "l3"
  },
  "CAP_ebc6402a": {
   "en": "Reward Shaping Locomotion",
   "zh": "运动控制奖励函数塑形",
   "level": "l3"
  },
  "CAP_531a1248": {
   "en": "Trot Gait Control (Raibert-VMC)",
   "zh": "四足对角小跑控制（Raibert-VMC范式）",
   "level": "l2"
  },
  "CAP_b68d124c": {
   "en": "Convex MPC Quadruped Turning Control Pipeline",
   "zh": "凸MPC四足转向控制流水线",
   "level": "l2"
  },
  "CAP_9c36e3cc": {
   "en": "Stance Leg Force Control via Inverse Jacobian",
   "zh": "支撑腿逆雅可比力控",
   "level": "l3"
  },
  "CAP_f475c29b": {
   "en": "FOC Motor Driver Communication",
   "zh": "FOC电机驱动通信",
   "level": "l3"
  },
  "CAP_dbfb5518": {
   "en": "RL End-to-End Quadruped Turning Pipeline",
   "zh": "RL端到端四足转向流水线",
   "level": "l2"
  },
  "CAP_2a963fa7": {
   "en": "Quadruped RL Observation Construction",
   "zh": "四足强化学习观测构建",
   "level": "l3"
  },
  "CAP_93411ea4": {
   "en": "Velocity Command Sampling",
   "zh": "速度命令采样",
   "level": "l3"
  },
  "CAP_10264956": {
   "en": "CPG Biomimetic Quadruped Turning Control Pipeline",
   "zh": "CPG仿生四足转向控制流水线",
   "level": "l2"
  },
  "CAP_89aa2c92": {
   "en": "CPG Parameter Modulation for Turning",
   "zh": "CPG转向参数调制",
   "level": "l3"
  },
  "CAP_3b176604": {
   "en": "Knee-Hip Joint Mapping Function",
   "zh": "膝髋关节映射函数",
   "level": "l3"
  },
  "CAP_4531fb9d": {
   "en": "Vestibulospinal Reflex",
   "zh": "前庭脊髓反射",
   "level": "l3"
  },
  "CAP_d0e6d8dd": {
   "en": "Flexor Reflex",
   "zh": "屈肌反射",
   "level": "l3"
  },
  "CAP_7b1ffd97": {
   "en": "Tonic Labyrinthine Reflex",
   "zh": "紧张性迷路反射",
   "level": "l3"
  },
  "CAP_9aed1b48": {
   "en": "CPG Output to Joint Angle Mapping",
   "zh": "CPG输出到关节角映射",
   "level": "l3"
  },
  "CAP_90500110": {
   "en": "CPG Phase Resetting and Entrainment",
   "zh": "CPG相位重置与夹带",
   "level": "l3"
  },
  "CAP_2a47dcf9": {
   "en": "ZMP/Step-Length Quadruped Turning Control Pipeline",
   "zh": "ZMP/步长差四足转向控制流水线",
   "level": "l2"
  },
  "CAP_6b33bd5f": {
   "en": "Differential Step Length Calculation",
   "zh": "差速步长与转弯半径计算",
   "level": "l3"
  },
  "CAP_589b661b": {
   "en": "ZMP Reference Trajectory Planner",
   "zh": "ZMP参考轨迹规划",
   "level": "l3"
  },
  "CAP_e60edc36": {
   "en": "LIPM-based CoM Trajectory Solver",
   "zh": "LIPM质心轨迹求解",
   "level": "l3"
  },
  "CAP_416d4bf9": {
   "en": "Asymmetric Footstep Planner for Turning",
   "zh": "转向不对称落足点规划",
   "level": "l3"
  },
  "CAP_09e182bd": {
   "en": "CoM Lateral Offset Correction",
   "zh": "质心侧向偏移在线修正",
   "level": "l3"
  },
  "CAP_f3c66bc8": {
   "en": "Sensor Integration and Contact Detection",
   "zh": "传感器集成与接触检测",
   "level": "l3"
  },
  "CAP_5be1cb71": {
   "en": "Convex MPC WBIC Locomotion Pipeline",
   "zh": "Convex MPC+WBIC分层运动控制管线",
   "level": "l2"
  },
  "CAP_0bf2f4af": {
   "en": "Kalman Filter State Estimation",
   "zh": "基于卡尔曼滤波的本体感知状态估计",
   "level": "l3"
  },
  "CAP_d4e93343": {
   "en": "NMPC WBC Locomotion Pipeline",
   "zh": "NMPC+WBC非线性全身运动控制管线",
   "level": "l2"
  },
  "CAP_b2dfd555": {
   "en": "Centroidal Dynamics NMPC Formulation",
   "zh": "质心动量非线性MPC构建",
   "level": "l3"
  },
  "CAP_9b2717e0": {
   "en": "SQP Multiple Shooting NLP Solver",
   "zh": "多重射击序列二次规划求解",
   "level": "l3"
  },
  "CAP_7208987d": {
   "en": "CppAD Automatic Differentiation and Code Generation",
   "zh": "CppAD自动微分与代码生成",
   "level": "l3"
  },
  "CAP_bf299fe9": {
   "en": "End-to-End RL Locomotion Pipeline",
   "zh": "端到端强化学习运动控制与sim-to-real迁移",
   "level": "l2"
  },
  "CAP_3c268290": {
   "en": "QAT Pipeline Orchestration",
   "zh": "量化感知训练流水线编排",
   "level": "l2"
  },
  "CAP_2c5d4b1a": {
   "en": "Fake Quantization Node Insertion",
   "zh": "伪量化节点自动插入",
   "level": "l3"
  },
  "CAP_70de8987": {
   "en": "STE Gradient Approximation",
   "zh": "直通估计器梯度近似",
   "level": "l3"
  },
  "CAP_8c0d8e3c": {
   "en": "Observer Calibration Statistics",
   "zh": "Observer量化参数统计",
   "level": "l3"
  },
  "CAP_e11eb666": {
   "en": "QAT Multi-Stage Fine-tuning",
   "zh": "QAT分阶段微调策略",
   "level": "l3"
  },
  "CAP_baf05b76": {
   "en": "Quantized Model Conversion and Export",
   "zh": "量化模型转换与导出",
   "level": "l3"
  },
  "CAP_641b0d25": {
   "en": "Integer Arithmetic Matrix Multiplication",
   "zh": "整数矩阵乘法高效实现",
   "level": "l3"
  },
  "CAP_f28c1bbe": {
   "en": "Learnable Quantization QAT Pipeline",
   "zh": "可学习量化参数QAT流水线",
   "level": "l2"
  },
  "CAP_38722cf9": {
   "en": "Learnable Quantizer Definition",
   "zh": "可学习量化器定义与配置",
   "level": "l3"
  },
  "CAP_19393b72": {
   "en": "Quantization Parameter Gradient Scaling",
   "zh": "量化参数梯度缩放与正则化",
   "level": "l3"
  },
  "CAP_64c79b3c": {
   "en": "Progressive Low-bit Training",
   "zh": "渐进式低比特QAT训练",
   "level": "l3"
  },
  "CAP_b24be727": {
   "en": "Mixed Precision Bit-width Search",
   "zh": "混合精度位宽自动搜索",
   "level": "l3"
  },
  "CAP_13ade82e": {
   "en": "LLM VLM QAT Pipeline with Distillation and PEFT",
   "zh": "LLM/VLM量化感知训练+蒸馏+PEFT流水线",
   "level": "l2"
  },
  "CAP_f5444c4f": {
   "en": "LLM Fake Quantization Node Insertion",
   "zh": "LLM伪量化节点插入与校准",
   "level": "l3"
  },
  "CAP_6d393a82": {
   "en": "LLM QAT Training Loop with STE",
   "zh": "LLM量化感知训练循环（STE梯度直通）",
   "level": "l3"
  },
  "CAP_40e1d06d": {
   "en": "Quantization Aware Distillation for LLMs",
   "zh": "量化感知蒸馏（QAD）",
   "level": "l3"
  },
  "CAP_69e1abe0": {
   "en": "LoRA PEFT for QAT",
   "zh": "LoRA参数高效QAT（L4Q/QA-LoRA）",
   "level": "l3"
  },
  "CAP_0a52f8bf": {
   "en": "LLM QAT Conversion and TensorRT-LLM Export",
   "zh": "LLM QAT模型转换与TensorRT-LLM导出",
   "level": "l3"
  },
  "CAP_7a8c1c11": {
   "en": "KV Cache Quantization Aware Training",
   "zh": "KV Cache量化感知训练",
   "level": "l3"
  },
  "CAP_e5dd7d5b": {
   "en": "LoadPretrainedFP32Model",
   "zh": "加载预训练FP32模型",
   "level": "l3"
  },
  "CAP_709fe018": {
   "en": "Quasi-Dynamic Multibody Modeling and Convex QP Contact Construction",
   "zh": "准动态多体建模与凸QP接触构造",
   "level": "l2"
  },
  "CAP_39ed0e55": {
   "en": "Convex QP Quasi-Dynamic Contact Formulation",
   "zh": "凸QP准动态接触模型构造",
   "level": "l3"
  },
  "CAP_85a1eea8": {
   "en": "Contact Dynamics Smoothing and Steering Metric",
   "zh": "接触动力学平滑与steer度量构造",
   "level": "l2"
  },
  "CAP_83f4cfa4": {
   "en": "Analytic Contact Smoothing (Log-Barrier/Softplus)",
   "zh": "解析接触平滑",
   "level": "l3"
  },
  "CAP_9f7913a7": {
   "en": "Randomized Smoothing Gradient Estimation (Bundled Gradient through Contact)",
   "zh": "随机平滑梯度估计（Bundled Gradient）",
   "level": "l3"
  },
  "CAP_07c38705": {
   "en": "Smoothed Dynamics Steering Function",
   "zh": "平滑动力学引导的steer度量",
   "level": "l3"
  },
  "CAP_fdaf619c": {
   "en": "Sampling-based Quasi-Dynamic Global Planning",
   "zh": "采样式准动态全局规划",
   "level": "l2"
  },
  "CAP_c96d2ce3": {
   "en": "Kinodynamic RRT Tree Expansion",
   "zh": "动力学RRT树扩展",
   "level": "l3"
  },
  "CAP_79fc3cce": {
   "en": "Goal Biasing and Trajectory Shortcutting",
   "zh": "目标偏置与轨迹短接",
   "level": "l3"
  },
  "CAP_c521233c": {
   "en": "Hard Contact QP Feasibility Verification",
   "zh": "硬接触QP可行性验证",
   "level": "l3"
  },
  "CAP_37b44f3c": {
   "en": "Contact Mode Enumeration and Motion Cone Modeling",
   "zh": "接触模式枚举与运动锥建模",
   "level": "l2"
  },
  "CAP_9e156315": {
   "en": "Contact Candidate Pair Generation",
   "zh": "接触候选点对生成",
   "level": "l3"
  },
  "CAP_0bbf5aa7": {
   "en": "Equilibrium Feasibility Pruning (LP)",
   "zh": "力平衡可行性LP剪枝",
   "level": "l3"
  },
  "CAP_a640da6d": {
   "en": "Generalized Motion Cone Construction",
   "zh": "广义运动锥构造",
   "level": "l3"
  },
  "CAP_5f2de133": {
   "en": "Mode-Guided RRT Global Planning",
   "zh": "模式引导RRT全局规划",
   "level": "l2"
  },
  "CAP_c911c167": {
   "en": "Mode-aware RRT Extension",
   "zh": "模式感知RRT扩展",
   "level": "l3"
  },
  "CAP_6277b0b3": {
   "en": "Mode-guided Sampling Bias",
   "zh": "接触模式引导采样偏置",
   "level": "l3"
  },
  "CAP_d7d32cdf": {
   "en": "Contact Mode Switch Detection",
   "zh": "接触模式切换检测",
   "level": "l3"
  },
  "CAP_67987444": {
   "en": "Finger Trajectory Inversion",
   "zh": "finger轨迹反解",
   "level": "l3"
  },
  "CAP_c71df5d0": {
   "en": "Contact Mode Enumeration and Convex Set Construction",
   "zh": "接触模式枚举与单模式凸集构造",
   "level": "l2"
  },
  "CAP_18fd7cf2": {
   "en": "Contact Patch Discretization",
   "zh": "接触patch离散化",
   "level": "l3"
  },
  "CAP_50c15441": {
   "en": "Quasistatic/Quasidynamic Contact Dynamics Formulation",
   "zh": "准静态/准动态接触方程构造",
   "level": "l3"
  },
  "CAP_0d6a611a": {
   "en": "Convex Hull/McCormick Relaxation",
   "zh": "基础凸包/McCormick松弛",
   "level": "l3"
  },
  "CAP_fad58e46": {
   "en": "SDP Tight Relaxation for Contact Dynamics",
   "zh": "接触动力学SDP紧松弛",
   "level": "l2"
  },
  "CAP_215b29e2": {
   "en": "Bilinear Term SDP Lifting (Lasserre Hierarchy)",
   "zh": "双线性项SDP提升（Lasserre层次）",
   "level": "l3"
  },
  "CAP_44502768": {
   "en": "Contact Valid Inequalities Addition",
   "zh": "接触物理有效不等式加强",
   "level": "l3"
  },
  "CAP_f4313fc8": {
   "en": "GCS Graph Construction and SPP Solving",
   "zh": "GCS图构建与SPP求解",
   "level": "l2"
  },
  "CAP_9af91310": {
   "en": "GCS Vertex/Edge Construction with Persistency",
   "zh": "GCS顶点/边构建（含persistency）",
   "level": "l3"
  },
  "CAP_c1977e8b": {
   "en": "Mixed-Integer SDP Solving",
   "zh": "混合整数SDP求解",
   "level": "l3"
  },
  "CAP_3ef8b9be": {
   "en": "SDP Rounding and Trajectory Polish",
   "zh": "SDP Rounding与轨迹Polish",
   "level": "l2"
  },
  "CAP_42f014c2": {
   "en": "SDP Rank-1 Rounding",
   "zh": "SDP解rank-1 Rounding",
   "level": "l3"
  },
  "CAP_0c709ebb": {
   "en": "Local Trajectory Optimization Polish",
   "zh": "局部轨迹优化Polish",
   "level": "l3"
  },
  "CAP_f7055c30": {
   "en": "Limit Surface Friction Modeling",
   "zh": "极限面摩擦建模",
   "level": "l3"
  },
  "CAP_523033c4": {
   "en": "Voting Theorem Rotation Prediction",
   "zh": "投票定理旋转方向预测",
   "level": "l3"
  },
  "CAP_a433b0f9": {
   "en": "Stable Push Feasibility Check",
   "zh": "稳定推可行性判定",
   "level": "l3"
  },
  "CAP_e58fb878": {
   "en": "Analytic Quasi-Static Contact Planning",
   "zh": "解析准静态接触规划",
   "level": "l2"
  },
  "CAP_87366bbf": {
   "en": "Quasi-Static Mode Feasibility Check",
   "zh": "准静态接触模式可行性判定",
   "level": "l3"
  },
  "CAP_b6aea0e5": {
   "en": "Hierarchical MCTS Contact Exploration",
   "zh": "分层MCTS接触探索",
   "level": "l3"
  },
  "CAP_55ee8707": {
   "en": "Contact Mode-Guided Manipulation Planning",
   "zh": "接触模式引导采样操作规划",
   "level": "l2"
  },
  "CAP_67e60573": {
   "en": "Contact Mode QCQP Formulation",
   "zh": "接触模式QCQP建模",
   "level": "l3"
  },
  "CAP_2fe1e54e": {
   "en": "Per-Mode SDP Relaxation",
   "zh": "单模式SDP松弛",
   "level": "l3"
  },
  "CAP_df358667": {
   "en": "Contact Mode GCS Construction",
   "zh": "接触模式GCS图构建",
   "level": "l3"
  },
  "CAP_69e3da6e": {
   "en": "GCS Star Forward Heuristic Search",
   "zh": "GCS Star前向启发搜索",
   "level": "l3"
  },
  "CAP_33928767": {
   "en": "SDP Rounding & Trajectory Recovery",
   "zh": "SDP舍入与轨迹恢复",
   "level": "l3"
  },
  "CAP_1ce802d6": {
   "en": "Convex Relaxation GCS Contact Planning",
   "zh": "凸松弛GCS接触规划",
   "level": "l2"
  },
  "CAP_e8de94e8": {
   "en": "Contact Dynamics Smoothing",
   "zh": "接触动力学平滑",
   "level": "l3"
  },
  "CAP_2ae4f058": {
   "en": "Contact-Implicit Smoothing MPC Planning",
   "zh": "接触隐式平滑MPC规划",
   "level": "l2"
  },
  "CAP_cded752e": {
   "en": "Quaternion Construction",
   "zh": "四元数构造伞形能力",
   "level": "l2"
  },
  "CAP_9dfb99b4": {
   "en": "Quaternion Identity Construction",
   "zh": "四元数单位元构造",
   "level": "l3"
  },
  "CAP_b73e8beb": {
   "en": "Quaternion from WXYZ",
   "zh": "从(w,x,y,z)显式构造四元数",
   "level": "l3"
  },
  "CAP_6f8fc64d": {
   "en": "Quaternion from Axis-Angle",
   "zh": "从轴角构造单位四元数",
   "level": "l3"
  },
  "CAP_a1849df6": {
   "en": "Quaternion from Euler Angles",
   "zh": "从欧拉角构造四元数",
   "level": "l3"
  },
  "CAP_dd2a051a": {
   "en": "Quaternion from Rotation Matrix",
   "zh": "从旋转矩阵构造四元数（Shepperd/Shoemake算法）",
   "level": "l3"
  },
  "CAP_687dfe30": {
   "en": "Quaternion from Two Vectors",
   "zh": "从两个单位向量构造最短弧四元数",
   "level": "l3"
  },
  "CAP_2a92228f": {
   "en": "Hamilton Product (Quaternion Multiply)",
   "zh": "Hamilton乘积（四元数旋转复合）",
   "level": "l3"
  },
  "CAP_76352431": {
   "en": "Quaternion Vector Rotation",
   "zh": "四元数向量旋转（sandwich product）",
   "level": "l3"
  },
  "CAP_4105854e": {
   "en": "Quaternion Conjugate",
   "zh": "四元数共轭（单位四元数之逆）",
   "level": "l3"
  },
  "CAP_712c2821": {
   "en": "Quaternion Inverse",
   "zh": "四元数逆（一般情形）",
   "level": "l3"
  },
  "CAP_a947966a": {
   "en": "Quaternion Normalize",
   "zh": "四元数归一化（漂移校正）",
   "level": "l3"
  },
  "CAP_733dd0b8": {
   "en": "Quaternion Conversion Output",
   "zh": "四元数反解输出伞形能力",
   "level": "l2"
  },
  "CAP_f5156854": {
   "en": "Quaternion to Rotation Matrix",
   "zh": "单位四元数转3x3旋转矩阵",
   "level": "l3"
  },
  "CAP_7296dec2": {
   "en": "Quaternion to Axis-Angle",
   "zh": "单位四元数反解轴角",
   "level": "l3"
  },
  "CAP_46131af8": {
   "en": "Quaternion to Euler Angles",
   "zh": "单位四元数反解欧拉角",
   "level": "l3"
  },
  "CAP_7b68d681": {
   "en": "Quaternion Interpolation Input Preparation",
   "zh": "四元数插值输入准备伞形能力",
   "level": "l2"
  },
  "CAP_617823c5": {
   "en": "Quaternion Interpolation Dispatch",
   "zh": "四元数插值方法分派伞形能力",
   "level": "l2"
  },
  "CAP_2d3a36a2": {
   "en": "Quaternion Log-Exp Map",
   "zh": "四元数对数/指数映射伞形能力",
   "level": "l2"
  },
  "CAP_4e1dcd04": {
   "en": "Quaternion SLERP",
   "zh": "四元数球面线性插值",
   "level": "l3"
  },
  "CAP_d000cafd": {
   "en": "Quaternion NLERP",
   "zh": "四元数归一化线性插值",
   "level": "l3"
  },
  "CAP_99f38223": {
   "en": "Quaternion Shortest Arc Hemisphere Selection",
   "zh": "四元数最短弧半球选择",
   "level": "l3"
  },
  "CAP_ead5387e": {
   "en": "Quaternion RotateTowards",
   "zh": "四元数定角步长转向",
   "level": "l3"
  },
  "CAP_3594d0a3": {
   "en": "Quaternion SQUAD Setup",
   "zh": "SQUAD控制点预计算",
   "level": "l3"
  },
  "CAP_e0594b34": {
   "en": "Quaternion SQUAD",
   "zh": "四元数球面四边形插值",
   "level": "l3"
  },
  "CAP_c99d5d65": {
   "en": "Quaternion Logarithm",
   "zh": "四元数对数映射",
   "level": "l3"
  },
  "CAP_b3ed9040": {
   "en": "Quaternion Exponential",
   "zh": "四元数指数映射",
   "level": "l3"
  },
  "CAP_a9b202b9": {
   "en": "Quaternion Angle Between",
   "zh": "四元数角距离",
   "level": "l3"
  },
  "CAP_4236309d": {
   "en": "Quaternion Integration Dispatch",
   "zh": "四元数积分方案分派伞形能力",
   "level": "l2"
  },
  "CAP_5a211812": {
   "en": "Quaternion Kinematic Derivative",
   "zh": "四元数运动学时间导数",
   "level": "l3"
  },
  "CAP_6c88989d": {
   "en": "Quaternion Forward Euler Integration",
   "zh": "四元数显式向前欧拉积分（一阶）",
   "level": "l3"
  },
  "CAP_b1032a8f": {
   "en": "Quaternion Exponential Map Integration",
   "zh": "四元数指数映射积分（半角公式）",
   "level": "l3"
  },
  "CAP_120599b6": {
   "en": "Quaternion RK4 Integration",
   "zh": "四元数四阶龙格-库塔积分",
   "level": "l3"
  },
  "CAP_9a632442": {
   "en": "Quaternion Midpoint Integration",
   "zh": "四元数中值积分（二阶）",
   "level": "l3"
  },
  "CAP_0e5dcaab": {
   "en": "Quaternion Gyroscopic Implicit Integration",
   "zh": "四元数隐式陀螺力矩积分",
   "level": "l3"
  },
  "CAP_d93fbdf8": {
   "en": "Mahony/Madgwick Complementary Filter",
   "zh": "Mahony/Madgwick互补滤波姿态估计",
   "level": "l3"
  },
  "CAP_7002f243": {
   "en": "Classical Pool Preparation and Init",
   "zh": "经典池化数据准备与初始化",
   "level": "l2"
  },
  "CAP_31f758f8": {
   "en": "Bootstrap Index Strategy",
   "zh": "Bootstrap索引策略",
   "level": "l3"
  },
  "CAP_45211444": {
   "en": "Batch Query Selection",
   "zh": "批量查询样本选择",
   "level": "l3"
  },
  "CAP_68d94148": {
   "en": "Probabilistic Classifier Training",
   "zh": "概率分类器训练",
   "level": "l3"
  },
  "CAP_6de1537b": {
   "en": "Consensus Entropy Disagreement",
   "zh": "共识熵分歧度量",
   "level": "l3"
  },
  "CAP_e6be5943": {
   "en": "Deep Ensemble Committee Construction",
   "zh": "深度集成委员会构造",
   "level": "l3"
  },
  "CAP_4085d188": {
   "en": "Variance Threshold Active Selection",
   "zh": "方差阈值主动选点（回归池化AL）",
   "level": "l3"
  },
  "CAP_dc80b5c0": {
   "en": "Vote Entropy Disagreement",
   "zh": "投票熵分歧度量",
   "level": "l3"
  },
  "CAP_c9c60ecd": {
   "en": "Committee Disagreement Scoring",
   "zh": "委员会分歧打分",
   "level": "l3"
  },
  "CAP_154a1535": {
   "en": "Hypothetical Document Generation",
   "zh": "假设性文档生成",
   "level": "l3"
  },
  "CAP_418630df": {
   "en": "Pseudo-Document Query Expansion",
   "zh": "伪文档查询扩展",
   "level": "l3"
  },
  "CAP_10d38dff": {
   "en": "Multi-Perspective Query Generation",
   "zh": "多视角查询生成",
   "level": "l3"
  },
  "CAP_39820198": {
   "en": "Step-Back Question Abstraction",
   "zh": "后退问题抽象",
   "level": "l3"
  },
  "CAP_df78212f": {
   "en": "Sequential Sub-Question Answering",
   "zh": "序列式子问题回答",
   "level": "l3"
  },
  "CAP_ae7f24c7": {
   "en": "Parallel Sub-Question Retrieval",
   "zh": "并行子问题检索",
   "level": "l3"
  },
  "CAP_f4f4e107": {
   "en": "Sub-Answer Synthesis",
   "zh": "子答案合成",
   "level": "l3"
  },
  "CAP_6a5eaf97": {
   "en": "Corrective Query Rewriting Pipeline",
   "zh": "纠错式查询改写管道",
   "level": "l2"
  },
  "CAP_e178d609": {
   "en": "Corrective Web Query Rewriting",
   "zh": "纠错式Web查询改写",
   "level": "l3"
  },
  "CAP_95ef4682": {
   "en": "Knowledge Refinement Decompose Recompose",
   "zh": "知识精炼分解重组",
   "level": "l3"
  },
  "CAP_b08857a9": {
   "en": "Iterative Retrieval-Grounded Query Evolution",
   "zh": "迭代式检索反馈查询演化",
   "level": "l3"
  },
  "CAP_01781311": {
   "en": "Forward-Looking Query Projection",
   "zh": "前瞻性查询投影检索",
   "level": "l3"
  },
  "CAP_aade41b7": {
   "en": "Conversational Query Reformulation Pipeline",
   "zh": "对话查询改写管道",
   "level": "l2"
  },
  "CAP_8f9927c5": {
   "en": "Conversational Context Disambiguation",
   "zh": "对话上下文歧义检测",
   "level": "l3"
  },
  "CAP_e7c8e0f3": {
   "en": "Conversational History Window Selection and Enhancement",
   "zh": "对话历史窗口选择与增强",
   "level": "l3"
  },
  "CAP_bc081b7c": {
   "en": "Supervised Conversational Query Rewriting",
   "zh": "监督式对话查询改写",
   "level": "l3"
  },
  "CAP_9aa8bd9e": {
   "en": "Conversational Dense Retrieval Embedding",
   "zh": "对话稠密检索嵌入",
   "level": "l3"
  },
  "CAP_8bdd475f": {
   "en": "mmWave Radar Point Cloud Acquisition",
   "zh": "毫米波雷达点云采集",
   "level": "l3"
  },
  "CAP_1aee83fc": {
   "en": "Image Backbone Feature Extraction",
   "zh": "图像骨干特征提取",
   "level": "l3"
  },
  "CAP_d3d10237": {
   "en": "Frustum-based Radar-Camera Data Association",
   "zh": "基于截锥体的雷达-相机数据关联",
   "level": "l3"
  },
  "CAP_2e6f3f04": {
   "en": "Radar Feature Map Pillar Scattering",
   "zh": "雷达特征图柱体散射",
   "level": "l3"
  },
  "CAP_c6192124": {
   "en": "CenterFusion Middle Fusion 3D Detection",
   "zh": "CenterFusion 中层融合三维检测",
   "level": "l2"
  },
  "CAP_61d11ba3": {
   "en": "Radar-Assisted Image-to-BEV Projection",
   "zh": "雷达辅助图像到鸟瞰图投影",
   "level": "l3"
  },
  "CAP_477673d4": {
   "en": "Multi-Modal Deformable Cross-Attention BEV Fusion",
   "zh": "多模态可变形交叉注意力鸟瞰图融合",
   "level": "l3"
  },
  "CAP_eefe4206": {
   "en": "RadarBEVNet Dual-Stream Radar Encoder",
   "zh": "RadarBEVNet 双流雷达编码器",
   "level": "l3"
  },
  "CAP_d866725c": {
   "en": "Dual-View PV+BEV Radar-Camera Fusion",
   "zh": "双视图PV+BEV雷达相机融合",
   "level": "l3"
  },
  "CAP_2e82ff09": {
   "en": "Radar-to-Pixel Association",
   "zh": "雷达到像素关联",
   "level": "l3"
  },
  "CAP_9de96f83": {
   "en": "Global Scale-Shift Alignment",
   "zh": "全局尺度-偏移对齐",
   "level": "l3"
  },
  "CAP_c3fa0fdb": {
   "en": "RadarCam-Depth Metric Depth Estimation",
   "zh": "RadarCam-Depth 雷达引导度量深度估计",
   "level": "l2"
  },
  "CAP_677de6e9": {
   "en": "Doppler Domain Static Clutter Suppression",
   "zh": "多普勒域静态杂波抑制",
   "level": "l2"
  },
  "CAP_84d7461e": {
   "en": "FMCW ADC Data Acquisition",
   "zh": "FMCW ADC 数据采集",
   "level": "l3"
  },
  "CAP_25ed1ce2": {
   "en": "MTI Delay-Line Cancellation",
   "zh": "MTI 延迟线对消",
   "level": "l3"
  },
  "CAP_2ef18cd6": {
   "en": "AMTI Adaptive Notch Filtering",
   "zh": "AMTI 自适应凹口滤波",
   "level": "l3"
  },
  "CAP_9294d717": {
   "en": "MTD Doppler Filter Bank",
   "zh": "MTD 多普勒滤波器组",
   "level": "l3"
  },
  "CAP_afa11d42": {
   "en": "CFAR Parameter Configuration",
   "zh": "CFAR 参数配置",
   "level": "l3"
  },
  "CAP_072f6ab1": {
   "en": "Post-Detection Refinement",
   "zh": "检测后精化处理",
   "level": "l2"
  },
  "CAP_6264672e": {
   "en": "Detection Matrix Construction",
   "zh": "检测矩阵构建",
   "level": "l3"
  },
  "CAP_e2ba890f": {
   "en": "CFAR Local Power Estimation",
   "zh": "CFAR 局部杂波功率估计",
   "level": "l3"
  },
  "CAP_00dba3fc": {
   "en": "CFAR Threshold & Detection Decision",
   "zh": "CFAR 自适应门限计算与检测判决",
   "level": "l3"
  },
  "CAP_79de88e2": {
   "en": "CFAR Peak Grouping",
   "zh": "CFAR 峰值分组",
   "level": "l3"
  },
  "CAP_38aea20b": {
   "en": "Clutter Map CFAR",
   "zh": "杂波图 CFAR 时序更新",
   "level": "l3"
  },
  "CAP_25fb4eef": {
   "en": "Deep Learning Radar Clutter Suppression",
   "zh": "深度学习端到端雷达杂波抑制",
   "level": "l2"
  },
  "CAP_808ecff0": {
   "en": "RD Map Normalization",
   "zh": "RD 图归一化",
   "level": "l3"
  },
  "CAP_437f7415": {
   "en": "Training Dataset Construction",
   "zh": "训练数据集构建",
   "level": "l3"
  },
  "CAP_2ab84e44": {
   "en": "CNN Classification Training",
   "zh": "CNN 分类训练",
   "level": "l3"
  },
  "CAP_0290fdb1": {
   "en": "GAN Clutter Suppression Training",
   "zh": "GAN 杂波抑制训练",
   "level": "l3"
  },
  "CAP_8b79df98": {
   "en": "Post-DL CFAR Refinement",
   "zh": "DL 后处理与 CFAR 精检",
   "level": "l3"
  },
  "CAP_62ce769f": {
   "en": "MTI Clutter Suppression Training",
   "zh": "MTI杂波抑制训练",
   "level": "l3"
  },
  "CAP_b281689b": {
   "en": "Radar Object Detection",
   "zh": "雷达目标检测",
   "level": "l2"
  },
  "CAP_ed7799ee": {
   "en": "FMCW Range Doppler Processing",
   "zh": "FMCW 距离多普勒处理",
   "level": "l3"
  },
  "CAP_f0c765cc": {
   "en": "Radar Point Cloud DBSCAN Clustering",
   "zh": "雷达点云 DBSCAN 聚类",
   "level": "l3"
  },
  "CAP_c87a646e": {
   "en": "Radar Target Simulator HIL",
   "zh": "雷达目标模拟器硬件在环",
   "level": "l3"
  },
  "CAP_deb108e3": {
   "en": "4D Radar Point Cloud DL Detection",
   "zh": "4D雷达点云深度学习检测",
   "level": "l2"
  },
  "CAP_df493bc0": {
   "en": "4D Radar Tensor Preprocessing",
   "zh": "4D雷达张量预处理",
   "level": "l3"
  },
  "CAP_4520f499": {
   "en": "3D Sparse CNN Backbone",
   "zh": "3D稀疏卷积主干网络",
   "level": "l3"
  },
  "CAP_d16e9f17": {
   "en": "RAD Tensor DL Detection",
   "zh": "雷达张量深度学习检测",
   "level": "l2"
  },
  "CAP_357910e0": {
   "en": "RAD Spectrum Generation",
   "zh": "RAD频谱生成",
   "level": "l3"
  },
  "CAP_5e605dea": {
   "en": "RAD Spectrum Preprocessing",
   "zh": "RAD频谱预处理",
   "level": "l3"
  },
  "CAP_f12935ee": {
   "en": "RAD CNN Backbone",
   "zh": "RAD卷积主干网络",
   "level": "l3"
  },
  "CAP_e9c489c6": {
   "en": "RAD Transformer Backbone",
   "zh": "RAD Transformer主干网络",
   "level": "l3"
  },
  "CAP_cea53dd1": {
   "en": "Anchor-based RAD Detection Head",
   "zh": "锚框RAD检测头",
   "level": "l3"
  },
  "CAP_1ada0b23": {
   "en": "Radar Confidence Map Detection",
   "zh": "雷达置信度图检测",
   "level": "l3"
  },
  "CAP_4a648325": {
   "en": "Radar Signal Processing and Detection",
   "zh": "雷达信号处理与检测",
   "level": "l2"
  },
  "CAP_d20cf39e": {
   "en": "Radar Response Acquisition",
   "zh": "雷达响应采集",
   "level": "l3"
  },
  "CAP_de8d366c": {
   "en": "DL Radar Semantic Segmentation Inference",
   "zh": "深度学习雷达语义分割推理",
   "level": "l2"
  },
  "CAP_fe49876d": {
   "en": "Radar Segmentation Output and Evaluation",
   "zh": "雷达分割输出与评测",
   "level": "l2"
  },
  "CAP_a6070200": {
   "en": "Radar Data Loading & Synchronization",
   "zh": "雷达数据加载与同步",
   "level": "l3"
  },
  "CAP_36588bc4": {
   "en": "Per-point Label Output",
   "zh": "逐点标签输出",
   "level": "l3"
  },
  "CAP_cb6cefc7": {
   "en": "4D Radar Data Loading and Preprocessing",
   "zh": "4D 雷达数据加载与预处理",
   "level": "l3"
  },
  "CAP_72e1935a": {
   "en": "BEV Pseudo-image Generation",
   "zh": "BEV 伪图像生成",
   "level": "l3"
  },
  "CAP_0a35dba2": {
   "en": "Kalman Filter Prediction",
   "zh": "卡尔曼滤波预测",
   "level": "l3"
  },
  "CAP_0328d3a1": {
   "en": "Interacting Multiple Model",
   "zh": "交互式多模型",
   "level": "l3"
  },
  "CAP_7392c55e8a": {
   "en": "Joint Probabilistic Data Association",
   "zh": "联合概率数据关联",
   "level": "l3"
  },
  "CAP_97b14a87": {
   "en": "Observation-Centric Online Smoothing",
   "zh": "观测中心在线平滑",
   "level": "l3"
  },
  "CAP_26672bc5": {
   "en": "Track-Before-Detect",
   "zh": "检测前跟踪链（多帧能量积累 + 联合检测跟踪）",
   "level": "l2"
  },
  "CAP_e8abaabc": {
   "en": "Multi-Frame Energy Accumulation",
   "zh": "多帧能量积累",
   "level": "l3"
  },
  "CAP_71e6c74a": {
   "en": "Likelihood Ratio Detection TBD",
   "zh": "似然比检测",
   "level": "l3"
  },
  "CAP_f839a520": {
   "en": "Hough Transform TBD",
   "zh": "Hough变换检测前跟踪",
   "level": "l3"
  },
  "CAP_30c078f9": {
   "en": "Random Finite Set Tracking",
   "zh": "随机有限集多目标跟踪链（PHD/CPHD/GLMB/LMB/PMB）",
   "level": "l2"
  },
  "CAP_a3444152": {
   "en": "PHD Filter",
   "zh": "概率假设密度滤波",
   "level": "l3"
  },
  "CAP_642046be": {
   "en": "GLMB Filter",
   "zh": "广义标签多伯努利滤波",
   "level": "l3"
  },
  "CAP_36dac804": {
   "en": "LMB Filter",
   "zh": "标签多伯努利滤波",
   "level": "l3"
  },
  "CAP_4c2e4234": {
   "en": "RFS State Extraction",
   "zh": "RFS状态提取",
   "level": "l3"
  },
  "CAP_27fd154c": {
   "en": "RFS Pruning Merging",
   "zh": "RFS剪枝合并",
   "level": "l3"
  },
  "CAP_3336c1e0": {
   "en": "Learning-based Radar Tracking",
   "zh": "学习型/数据驱动雷达跟踪链（深度关联 + 序列运动建模 + 混合驱动）",
   "level": "l2"
  },
  "CAP_e6c0a965": {
   "en": "Learned Motion Prediction",
   "zh": "学习型运动预测",
   "level": "l3"
  },
  "CAP_5d286f87": {
   "en": "BiLSTM Data Association",
   "zh": "BiLSTM数据关联",
   "level": "l3"
  },
  "CAP_6f35e698": {
   "en": "IMMNet Hybrid Tracking",
   "zh": "IMMNet混合驱动跟踪",
   "level": "l3"
  },
  "CAP_083ee341": {
   "en": "End-to-End Transformer Tracking",
   "zh": "端到端Transformer跟踪",
   "level": "l3"
  },
  "CAP_ac6b88bf": {
   "en": "Weather-Adaptive Radar Signal Processing",
   "zh": "天气自适应雷达信号处理",
   "level": "l2"
  },
  "CAP_79b3d98c": {
   "en": "Rain Rate Estimation from Radar Echo",
   "zh": "雷达回波降雨强度估计",
   "level": "l3"
  },
  "CAP_ed4fa15d": {
   "en": "VGA Attenuation Gain Compensation",
   "zh": "VGA 衰减增益补偿",
   "level": "l3"
  },
  "CAP_e7d90631": {
   "en": "Partitioned CFAR Detection Weather-Adaptive",
   "zh": "天气自适应分区域 CFAR 检测",
   "level": "l3"
  },
  "CAP_4fb7489f": {
   "en": "Adaptive Doppler Weather Clutter Suppression",
   "zh": "自适应多普勒天气杂波抑制",
   "level": "l3"
  },
  "CAP_c12ef860": {
   "en": "Weather False Alarm Filtering via Multi-frame Tracking",
   "zh": "多帧跟踪天气虚警滤除",
   "level": "l3"
  },
  "CAP_ca0ec64a": {
   "en": "Weather-Adaptive Multimodal Perception Fusion",
   "zh": "天气自适应多模态感知融合",
   "level": "l2"
  },
  "CAP_e40ea8bc": {
   "en": "Multimodal Sensor Synchronization and Feature Extraction",
   "zh": "多模态传感器同步与特征提取",
   "level": "l3"
  },
  "CAP_7da06eb4": {
   "en": "Measurement Entropy and Reliability Computation",
   "zh": "测量熵与可靠性计算",
   "level": "l3"
  },
  "CAP_55258e92": {
   "en": "Reliability-Supervised Visual Modality Downweighting",
   "zh": "可靠性监督视觉模态降权",
   "level": "l3"
  },
  "CAP_fcb15679": {
   "en": "Single-Shot Multimodal Detection",
   "zh": "单次多模态检测",
   "level": "l3"
  },
  "CAP_b69e7372": {
   "en": "4D Radar Doppler-Guided Cooperative Enhancement",
   "zh": "4D 雷达多普勒引导协同感知增强",
   "level": "l3"
  },
  "CAP_f076da7a": {
   "en": "4D Radar Weather-Robust Learned Perception",
   "zh": "4D 雷达天气鲁棒学习型感知",
   "level": "l2"
  },
  "CAP_1fd87f59": {
   "en": "FMCW 4D Radar Tesseract Generation",
   "zh": "FMCW 4D 雷达张量生成",
   "level": "l3"
  },
  "CAP_85cc5450": {
   "en": "R4 Range Power Compensation",
   "zh": "R⁴ 距离功率补偿",
   "level": "l3"
  },
  "CAP_0cf7020b": {
   "en": "4D Radar Tensor Synthesis via cGAN",
   "zh": "cGAN 4D 雷达张量合成",
   "level": "l3"
  },
  "CAP_b078534d": {
   "en": "Multi-Scale Gated Fusion & Weather-Stratified Detection",
   "zh": "多尺度门控融合与天气分层检测",
   "level": "l3"
  },
  "CAP_4d3e8e4b": {
   "en": "Trained Judge Fine-tuning",
   "zh": "训练型裁判微调",
   "level": "l3"
  },
  "CAP_c4b857ba": {
   "en": "PPI Confidence Interval Estimation",
   "zh": "PPI统计置信区间估计",
   "level": "l3"
  },
  "CAP_c24669ba": {
   "en": "Trained Hallucination Detector",
   "zh": "训练型幻觉检测器",
   "level": "l3"
  },
  "CAP_23557e1a": {
   "en": "Trained Judge Orchestration",
   "zh": "训练型裁判编排",
   "level": "l2"
  },
  "CAP_77e7adf2": {
   "en": "IR Ranking Metrics Computation",
   "zh": "IR排序指标计算",
   "level": "l3"
  },
  "CAP_3425ba5c": {
   "en": "Answer Exact Match Evaluation",
   "zh": "答案精确匹配评估",
   "level": "l3"
  },
  "CAP_a98a1007": {
   "en": "Token Level F1 Computation",
   "zh": "Token级F1计算",
   "level": "l3"
  },
  "CAP_c4a18e44": {
   "en": "BERTScore Semantic Similarity Evaluation",
   "zh": "BERTScore语义相似度评估",
   "level": "l3"
  },
  "CAP_43f23e38": {
   "en": "ROUGE BLEU Generation Metrics Computation",
   "zh": "ROUGE BLEU生成指标计算",
   "level": "l3"
  },
  "CAP_af89c5d0": {
   "en": "Noise Robustness Evaluation",
   "zh": "噪声鲁棒性评估",
   "level": "l3"
  },
  "CAP_924712fe": {
   "en": "Negative Rejection Rate Computation",
   "zh": "负向拒绝率计算",
   "level": "l3"
  },
  "CAP_3732bb2d": {
   "en": "Counterfactual Robustness Evaluation",
   "zh": "反事实鲁棒性评估",
   "level": "l3"
  },
  "CAP_f292681d": {
   "en": "Word-level Hallucination Span Annotation",
   "zh": "词级幻觉Span标注",
   "level": "l3"
  },
  "CAP_4a51f070": {
   "en": "Hallucination Rate Computation",
   "zh": "幻觉率计算",
   "level": "l3"
  },
  "CAP_4cd6e96e": {
   "en": "Capability Probe Benchmark Orchestration",
   "zh": "能力探针基准编排",
   "level": "l2"
  },
  "CAP_13fd9a73": {
   "en": "Feedback Function Definition",
   "zh": "反馈函数定义",
   "level": "l3"
  },
  "CAP_bfa40cc4": {
   "en": "Human Annotation Queue Management",
   "zh": "人工标注队列管理",
   "level": "l3"
  },
  "CAP_e61b275b": {
   "en": "Latency and Token Cost Monitoring",
   "zh": "延迟与Token成本监控",
   "level": "l3"
  },
  "CAP_7ea48396": {
   "en": "Version Comparison Leaderboard",
   "zh": "版本对比排行榜",
   "level": "l3"
  },
  "CAP_a9079b6c": {
   "en": "ThresholdGatedScoreAggregation",
   "zh": "阈值门控分数聚合",
   "level": "l3"
  },
  "CAP_0d4de437": {
   "en": "Bayesian DR Range Search Pipeline",
   "zh": "贝叶斯DR范围搜索流水线",
   "level": "l2"
  },
  "CAP_808e47aa": {
   "en": "Bayesian Optimizer Initialization for DR",
   "zh": "DR贝叶斯优化器初始化",
   "level": "l3"
  },
  "CAP_a237aadc": {
   "en": "Population-Based DR Range Adaptation Pipeline",
   "zh": "种群式DR范围适配流水线",
   "level": "l2"
  },
  "CAP_eaf5608b": {
   "en": "Population Initialization with DR Diversity",
   "zh": "种群初始化与DR范围多样性配置",
   "level": "l3"
  },
  "CAP_13a01484": {
   "en": "Population Fitness Evaluation and Ranking",
   "zh": "种群fitness评估与排名",
   "level": "l3"
  },
  "CAP_de6b35a2": {
   "en": "PBT Exploit-Explore Cycle",
   "zh": "PBT利用-探索循环",
   "level": "l3"
  },
  "CAP_23f8c0cc": {
   "en": "PB2 GP-Guided Range Exploration",
   "zh": "PB2 GP引导范围探索",
   "level": "l3"
  },
  "CAP_c061526c": {
   "en": "Population Convergence and Best Range Output",
   "zh": "种群收敛判定与最优范围输出",
   "level": "l3"
  },
  "CAP_e31a6af4": {
   "en": "Entropy Maximization DR Range Shaping Pipeline",
   "zh": "熵最大化DR范围塑造流水线",
   "level": "l2"
  },
  "CAP_c9fe71d2": {
   "en": "Constrained Entropy Maximization Distribution Update",
   "zh": "约束熵最大化分布更新",
   "level": "l3"
  },
  "CAP_f6139a77": {
   "en": "Distribution Convergence and Shaped Output",
   "zh": "分布收敛判定与塑造输出",
   "level": "l3"
  },
  "CAP_642b961f": {
   "en": "Traffic Motion Prior Learning",
   "zh": "交通运动先验学习",
   "level": "l3"
  },
  "CAP_32da90b0": {
   "en": "Latent Space Adversarial Perturbation",
   "zh": "潜空间对抗扰动优化",
   "level": "l3"
  },
  "CAP_6de084ff": {
   "en": "Collision Scene Decoding and Validation",
   "zh": "碰撞场景解码与验证",
   "level": "l3"
  },
  "CAP_9cc4d74f": {
   "en": "Scenario Solvability Optimization",
   "zh": "场景可解性求解优化",
   "level": "l3"
  },
  "CAP_fb5bea89": {
   "en": "Collision Scenario Clustering and Annotation",
   "zh": "碰撞场景聚类与自动标注",
   "level": "l3"
  },
  "CAP_a9bd949b": {
   "en": "Diffusion-Based Rare Event Generation",
   "zh": "扩散模型罕见事件生成",
   "level": "l2"
  },
  "CAP_49c2afc8": {
   "en": "LLM-Guided Condition Construction",
   "zh": "LLM引导条件构造",
   "level": "l3"
  },
  "CAP_1b8024e4": {
   "en": "Probabilistic Scenario Programming",
   "zh": "概率场景编程罕见事件生成",
   "level": "l2"
  },
  "CAP_830f349a": {
   "en": "Scenario Distribution Compilation",
   "zh": "场景分布编译与构建",
   "level": "l3"
  },
  "CAP_ddfa4040": {
   "en": "Constraint-Aware Scene Sampling",
   "zh": "约束感知场景采样",
   "level": "l3"
  },
  "CAP_6076d3e9": {
   "en": "Simulator Execution and Data Export",
   "zh": "仿真器执行与数据导出",
   "level": "l3"
  },
  "CAP_34082167": {
   "en": "WCET Analysis",
   "zh": "最坏执行时间分析",
   "level": "l3"
  },
  "CAP_6da27675": {
   "en": "Rate-to-Priority Mapping",
   "zh": "速率到优先级映射",
   "level": "l3"
  },
  "CAP_ad105537": {
   "en": "Scheduling Policy Setting via chrt",
   "zh": "chrt 调度策略设置",
   "level": "l3"
  },
  "CAP_9b4df3ff": {
   "en": "RTOS Fixed Priority RMS Deployment",
   "zh": "RTOS 固定优先级 RMS 部署",
   "level": "l2"
  },
  "CAP_af71ba78": {
   "en": "Spatial Hash Voxel Block Allocation",
   "zh": "空间哈希体素块分配",
   "level": "l3"
  },
  "CAP_7131122e": {
   "en": "Sparse Voxel Block Hashing Allocation",
   "zh": "稀疏体素块哈希分配",
   "level": "l3"
  },
  "CAP_e52f6476": {
   "en": "Explicit Three-State Occupancy Modeling",
   "zh": "显式三态占用建模",
   "level": "l3"
  },
  "CAP_a9bc4a9d": {
   "en": "Scene & Acceleration Structure Preparation",
   "zh": "场景与加速结构准备",
   "level": "l2"
  },
  "CAP_9116d167": {
   "en": "Camera Ray Generation & Sampling",
   "zh": "相机光线生成与采样",
   "level": "l2"
  },
  "CAP_8d0b788e": {
   "en": "Path Integration & Light Transport",
   "zh": "路径积分与光传输",
   "level": "l2"
  },
  "CAP_2d2b7f54": {
   "en": "Scene Description Loading",
   "zh": "场景描述加载",
   "level": "l3"
  },
  "CAP_a85f9316": {
   "en": "Pixel Sample Generation",
   "zh": "像素样本生成",
   "level": "l3"
  },
  "CAP_ec17e545": {
   "en": "Camera Ray Generation",
   "zh": "相机光线生成",
   "level": "l3"
  },
  "CAP_ef21566e": {
   "en": "Surface BSDF Sampling",
   "zh": "表面 BSDF 采样",
   "level": "l3"
  },
  "CAP_8bec6763": {
   "en": "Volume Free-Flight Sampling",
   "zh": "体积自由飞行采样",
   "level": "l3"
  },
  "CAP_8ce0caca": {
   "en": "Direct Lighting Estimation",
   "zh": "直接光照估计",
   "level": "l3"
  },
  "CAP_9517c510": {
   "en": "Indirect Path Extension & Russian Roulette",
   "zh": "间接路径扩展与俄罗斯轮盘赌",
   "level": "l3"
  },
  "CAP_07e37766": {
   "en": "Pixel Reconstruction Filtering",
   "zh": "像素重建滤波",
   "level": "l3"
  },
  "CAP_606cc82b": {
   "en": "Scene Assembly & Material Lookdev",
   "zh": "场景组装与材质Lookdev",
   "level": "l2"
  },
  "CAP_ef1379e0": {
   "en": "Production Path Tracing Core",
   "zh": "生产级路径追踪核心",
   "level": "l2"
  },
  "CAP_943e73d1": {
   "en": "Layered Output & Post-Processing",
   "zh": "分层输出与后处理",
   "level": "l2"
  },
  "CAP_ccda1c6b": {
   "en": "MaterialX Shader Compilation",
   "zh": "MaterialX材质编译",
   "level": "l3"
  },
  "CAP_3c45e9ca": {
   "en": "Production Path Tracing Configuration",
   "zh": "生产级路径追踪配置",
   "level": "l3"
  },
  "CAP_a70da18c": {
   "en": "Many-Light BVH Sampling",
   "zh": "多光源BVH采样",
   "level": "l3"
  },
  "CAP_91520bb9": {
   "en": "AOV LPE Layered Output",
   "zh": "AOV光路径表达式分层输出",
   "level": "l3"
  },
  "CAP_2bf63210": {
   "en": "Differentiable Scene Initialization",
   "zh": "可微场景初始化",
   "level": "l3"
  },
  "CAP_930366c6": {
   "en": "Differentiable Forward Rendering (PRB)",
   "zh": "可微前向渲染(PRB)",
   "level": "l3"
  },
  "CAP_d0af53d2": {
   "en": "Visibility Discontinuity Handling",
   "zh": "可见性不连续处理",
   "level": "l3"
  },
  "CAP_84ba4380": {
   "en": "Reverse-Mode AD Backpropagation",
   "zh": "反向模式自动微分",
   "level": "l3"
  },
  "CAP_f558cb9f": {
   "en": "Caustics Scene Analysis & Algorithm Selection",
   "zh": "焦散场景分析与算法选择",
   "level": "l3"
  },
  "CAP_f1b24dee": {
   "en": "Photon Tracing & Progressive Density Estimation",
   "zh": "光子追踪与渐进式密度估计",
   "level": "l3"
  },
  "CAP_4c06c50f": {
   "en": "Bidirectional Vertex Connection & Merging",
   "zh": "双向顶点连接与合并",
   "level": "l3"
  },
  "CAP_a6b5355a": {
   "en": "Metropolis Path Space Sampling",
   "zh": "Metropolis 路径空间采样",
   "level": "l3"
  },
  "CAP_733d8950": {
   "en": "Pixel Contribution Accumulation",
   "zh": "像素贡献累积",
   "level": "l3"
  },
  "CAP_b59cfe4c": {
   "en": "Controller Role Definition",
   "zh": "控制器角色等级定义",
   "level": "l3"
  },
  "CAP_7af0111d": {
   "en": "Controller User Account Management",
   "zh": "控制器用户账户管理",
   "level": "l3"
  },
  "CAP_f0d51fad": {
   "en": "Teaching Pendant Authentication and Role Context Loading",
   "zh": "示教器登录认证与角色上下文加载",
   "level": "l3"
  },
  "CAP_4fb5cb91": {
   "en": "Controller RBAC Audit Logging",
   "zh": "控制器RBAC审计日志",
   "level": "l3"
  },
  "CAP_670f0386": {
   "en": "Robot Operating Mode Context Acquisition",
   "zh": "机器人运行模式上下文获取",
   "level": "l3"
  },
  "CAP_ca6b88b7": {
   "en": "SROS2 PKI Keystore Infrastructure",
   "zh": "SROS2 PKI密钥库基础设施",
   "level": "l3"
  },
  "CAP_be877ae0": {
   "en": "SROS2 Enclave Credential Provisioning",
   "zh": "SROS2 Enclave凭证签发",
   "level": "l3"
  },
  "CAP_fd2766eb": {
   "en": "DDS-Security Runtime Enforcement",
   "zh": "DDS-Security运行时强制执行",
   "level": "l3"
  },
  "CAP_67da22ff": {
   "en": "Kubernetes RBAC Baseline Configuration",
   "zh": "Kubernetes RBAC基线配置",
   "level": "l3"
  },
  "CAP_fdb7a606": {
   "en": "Kubernetes Admission Webhook Policy Enforcement",
   "zh": "Kubernetes Admission Webhook策略强制执行",
   "level": "l3"
  },
  "CAP_bcbb4f22": {
   "en": "X.509 Certificate Signing and Mounting",
   "zh": "X.509证书签名与挂载",
   "level": "l3"
  },
  "CAP_c0420894": {
   "en": "ORCA Preferred Velocity Setting",
   "zh": "ORCA首选速度设定",
   "level": "l3"
  },
  "CAP_fff4da63": {
   "en": "LP Safe Velocity Optimization",
   "zh": "LP安全速度求解",
   "level": "l3"
  },
  "CAP_c5f86bba": {
   "en": "Nominal Control Generation",
   "zh": "标称控制输入生成",
   "level": "l3"
  },
  "CAP_f7984d46": {
   "en": "State and Obstacle Perception",
   "zh": "状态与障碍物感知",
   "level": "l3"
  },
  "CAP_660f8d79": {
   "en": "Static Obstacle Avoidance Bug Boundary Following",
   "zh": "静态障碍物Bug边界跟随避障",
   "level": "l2"
  },
  "CAP_4244acc5": {
   "en": "Bug Boundary Outline Extraction",
   "zh": "Bug边界外圈提取",
   "level": "l3"
  },
  "CAP_ca5daeb2": {
   "en": "Bug Greedy Motion To Goal",
   "zh": "Bug贪心趋目标运动",
   "level": "l3"
  },
  "CAP_4344ce1c": {
   "en": "Bug Hit Point Detection",
   "zh": "Bug撞墙点检测",
   "level": "l3"
  },
  "CAP_580181df": {
   "en": "Bug Leave Point Evaluation",
   "zh": "Bug离开点判定",
   "level": "l3"
  },
  "CAP_95ccd8b6": {
   "en": "Local Neighbor Perception",
   "zh": "本地邻居感知",
   "level": "l3"
  },
  "CAP_6ce80440": {
   "en": "Reactive Motion Synthesis",
   "zh": "反应式运动合成",
   "level": "l3"
  },
  "CAP_b2bb4ccc": {
   "en": "Local Goal Obstacle Perception",
   "zh": "本地目标障碍感知",
   "level": "l3"
  },
  "CAP_fa020d05": {
   "en": "Motor Schema Reactive Control",
   "zh": "Motor Schema 反应式控制",
   "level": "l2"
  },
  "CAP_8cd2c4bc": {
   "en": "Velocity Obstacle Sensing",
   "zh": "速度障碍感知",
   "level": "l2"
  },
  "CAP_ef7909be": {
   "en": "Neighbor State Acquisition for ORCA",
   "zh": "ORCA 邻居状态获取",
   "level": "l3"
  },
  "CAP_ac5dccee": {
   "en": "Velocity Obstacle Optimization",
   "zh": "速度障碍优化",
   "level": "l2"
  },
  "CAP_19349fb0": {
   "en": "Infeasible Region Fallback",
   "zh": "不可行域降级处理",
   "level": "l3"
  },
  "CAP_a6161796": {
   "en": "Pheromone Field Initialization",
   "zh": "信息素场初始化",
   "level": "l3"
  },
  "CAP_5bf3f9e7": {
   "en": "Stigmergic Velocity Position Update",
   "zh": "Stigmergic 速度位置更新",
   "level": "l3"
  },
  "CAP_7ef1bee9": {
   "en": "Bug Path Termination",
   "zh": "目标不可达判定",
   "level": "l3"
  },
  "CAP_0cd4dcc5": {
   "en": "VFH Polar Histogram Direction Selection",
   "zh": "VFH极坐标直方图方向选择",
   "level": "l3"
  },
  "CAP_0bcffdb1": {
   "en": "APF VFH Goal Reachability Check",
   "zh": "APF/VFH目标可达性判定",
   "level": "l3"
  },
  "CAP_ee01c47d": {
   "en": "Multi-Sensor Reactive Acquisition",
   "zh": "多传感器反应式采集",
   "level": "l3"
  },
  "CAP_f49cb732": {
   "en": "Bilateral Sensor Sampling",
   "zh": "双侧对称传感器采样",
   "level": "l3"
  },
  "CAP_fc7c0b22": {
   "en": "Sensorimotor Connection Topology",
   "zh": "传感器-电机连接拓扑选择",
   "level": "l3"
  },
  "CAP_e928b1f4": {
   "en": "Excitatory-Inhibitory Weighted Mapping",
   "zh": "兴奋-抑制加权映射",
   "level": "l3"
  },
  "CAP_62a42ef3": {
   "en": "Local Obstacle Distance Sensing",
   "zh": "局部障碍距离感知",
   "level": "l3"
  },
  "CAP_027be6f2": {
   "en": "Dead-Reckoning Pose Estimation",
   "zh": "航位推算位姿估计",
   "level": "l3"
  },
  "CAP_52784f68": {
   "en": "Local Obstacle Range Acquisition",
   "zh": "局部障碍测距采集",
   "level": "l3"
  },
  "CAP_9ded0ad0": {
   "en": "Grid CV Value Mapping",
   "zh": "栅格CV值映射",
   "level": "l3"
  },
  "CAP_5e6f5ba8": {
   "en": "CmdVel Velocity Command Synthesis",
   "zh": "速度指令合成",
   "level": "l3"
  },
  "CAP_8fbe58b5": {
   "en": "Odometry Heading Update",
   "zh": "里程计航向更新",
   "level": "l3"
  },
  "CAP_9deb6f1c": {
   "en": "Braitenberg Closed-Loop Feedback",
   "zh": "Braitenberg闭环反馈",
   "level": "l3"
  },
  "CAP_3bf4488d": {
   "en": "Reactive Wall Following",
   "zh": "反应式沿墙行走",
   "level": "l3"
  },
  "CAP_674e0368": {
   "en": "VFH Certainty Grid And Polar Histogram",
   "zh": "VFH确定性栅格与极坐标直方图",
   "level": "l2"
  },
  "CAP_a6304598": {
   "en": "VFH Polar Histogram Generation",
   "zh": "VFH极坐标直方图生成",
   "level": "l3"
  },
  "CAP_69b0798a": {
   "en": "VFH Threshold Valley Extraction",
   "zh": "VFH阈值波谷提取",
   "level": "l3"
  },
  "CAP_16cd5b59": {
   "en": "VFH Optimal Direction Selection",
   "zh": "VFH最优方向选择",
   "level": "l3"
  },
  "CAP_998ea2a3": {
   "en": "Online HJ Value Function Query & Safety Margin Evaluation",
   "zh": "在线 HJ 值函数查询与安全裕度评估",
   "level": "l3"
  },
  "CAP_da78c10a": {
   "en": "Closed-form Reachability Safety Filter Control",
   "zh": "闭式可达性安全滤波控制",
   "level": "l3"
  },
  "CAP_263bfc81": {
   "en": "TEB Augmented Obstacle Inflation",
   "zh": "跟踪误差界障碍物膨胀",
   "level": "l3"
  },
  "CAP_f8a3d2e1": {
   "en": "Industrial SSM/PFL Safety Monitoring Filter",
   "zh": "工业 SSM/PFL 安全监控滤波",
   "level": "l2"
  },
  "CAP_c5fa43fd": {
   "en": "Latent HJ Reachability Safety Filter",
   "zh": "潜在 HJ 可达性安全过滤器",
   "level": "l2"
  },
  "CAP_6db51fa5": {
   "en": "World Model Latent Dynamics Learning",
   "zh": "世界模型潜在动力学学习",
   "level": "l3"
  },
  "CAP_3d819489": {
   "en": "Latent Safety Constraint Representation",
   "zh": "潜在安全约束表示",
   "level": "l3"
  },
  "CAP_c3811247": {
   "en": "Runtime Latent Safety Filtering",
   "zh": "运行时潜在安全过滤",
   "level": "l3"
  },
  "CAP_33594e77": {
   "en": "Latent HJ Reachability Analysis",
   "zh": "潜在HJ可达性分析",
   "level": "l3"
  },
  "CAP_dc60b402": {
   "en": "TSM Online Causal Action Recognition",
   "zh": "TSM在线因果移位动作识别",
   "level": "l2"
  },
  "CAP_17046c83": {
   "en": "TSM Edge Deployment",
   "zh": "TSM边缘部署",
   "level": "l2"
  },
  "CAP_2eae8b39": {
   "en": "TSM Online Causal Inference",
   "zh": "TSM在线因果移位推理",
   "level": "l3"
  },
  "CAP_b9634909": {
   "en": "TSM TensorRT Edge Deployment",
   "zh": "TSM TensorRT边缘部署",
   "level": "l3"
  },
  "CAP_070dec10": {
   "en": "X3D Realtime Recognition",
   "zh": "X3D高效3D CNN实时识别",
   "level": "l2"
  },
  "CAP_e9b94813": {
   "en": "X3D Backbone Inference",
   "zh": "X3D 3D CNN骨干推理",
   "level": "l3"
  },
  "CAP_698d4af4": {
   "en": "Clip Level Action Classification",
   "zh": "Clip级动作分类",
   "level": "l3"
  },
  "CAP_f995b13c": {
   "en": "GPU Batch Inference Deploy",
   "zh": "GPU批量推理部署",
   "level": "l3"
  },
  "CAP_7f9c04b7": {
   "en": "MoViNet Streaming Recognition",
   "zh": "MoViNet流式因果动作识别",
   "level": "l2"
  },
  "CAP_78b7b274": {
   "en": "TFLite Mobile Deployment",
   "zh": "TFLite移动端部署",
   "level": "l3"
  },
  "CAP_56332557": {
   "en": "MoViNet Frame Preprocess",
   "zh": "MoViNet帧预处理",
   "level": "l3"
  },
  "CAP_1247892f": {
   "en": "Stream Buffer State Management",
   "zh": "Stream Buffer状态管理",
   "level": "l3"
  },
  "CAP_046775a4": {
   "en": "Causal (2+1)D Conv Inference",
   "zh": "因果(2+1)D卷积推理",
   "level": "l3"
  },
  "CAP_481fb73a": {
   "en": "MoViNet Streaming Classification",
   "zh": "MoViNet流式分类",
   "level": "l3"
  },
  "CAP_cc54a999": {
   "en": "Multi-Backend Model Deployment",
   "zh": "多后端模型部署",
   "level": "l3"
  },
  "CAP_fb8f0dea": {
   "en": "Rule-based Gesture Input",
   "zh": "规则派手势输入",
   "level": "l2"
  },
  "CAP_e2f7efe2": {
   "en": "Backbone-FPN Feature Extraction and Parallel Prediction",
   "zh": "骨干-FPN 特征提取与并行预测",
   "level": "l2"
  },
  "CAP_24d62203": {
   "en": "ResNet-DarkNet FPN Feature Extraction",
   "zh": "ResNet/DarkNet FPN 多尺度特征提取",
   "level": "l3"
  },
  "CAP_88ede2a3": {
   "en": "Protonet Prototype Mask Generation",
   "zh": "Protonet 原型掩码生成",
   "level": "l3"
  },
  "CAP_4b8dec17": {
   "en": "Prediction Head Class-Bbox-MaskCoeffs",
   "zh": "预测头类别-Bbox-掩码系数并行预测",
   "level": "l3"
  },
  "CAP_f2467390": {
   "en": "Fast NMS Deduplication and Mask Assembly",
   "zh": "Fast NMS 去重与掩码组装",
   "level": "l2"
  },
  "CAP_dd1d92d5": {
   "en": "Fast NMS Parallel Deduplication",
   "zh": "Fast NMS 并行去重",
   "level": "l3"
  },
  "CAP_d994d166": {
   "en": "Mask Coefficient Index Selection",
   "zh": "掩码系数索引选择",
   "level": "l3"
  },
  "CAP_4d10477d": {
   "en": "Linear Combination Mask Assembly",
   "zh": "线性组合掩码组装",
   "level": "l3"
  },
  "CAP_d0f48be8": {
   "en": "Bbox Crop Thresholding and Output",
   "zh": "Bbox 裁剪阈值化与输出",
   "level": "l2"
  },
  "CAP_1343e53b": {
   "en": "Bbox Crop Threshold Binary Mask",
   "zh": "Bbox 裁剪阈值化二值掩码",
   "level": "l3"
  },
  "CAP_b8ffbb4a": {
   "en": "Instance Result Formatting",
   "zh": "实例结果格式化",
   "level": "l3"
  },
  "CAP_90359814": {
   "en": "Backbone-FPN Three-Branch Feature Extraction",
   "zh": "骨干-FPN 三分支特征提取",
   "level": "l2"
  },
  "CAP_20cc1d32": {
   "en": "ResNet-FPN Feature Extraction",
   "zh": "ResNet-FPN 多尺度特征提取",
   "level": "l3"
  },
  "CAP_4f5e26fa": {
   "en": "Category Branch Grid Classification",
   "zh": "类别分支网格分类",
   "level": "l3"
  },
  "CAP_ccb35b07": {
   "en": "Kernel Branch Dynamic Kernel Prediction",
   "zh": "核分支动态卷积核预测",
   "level": "l3"
  },
  "CAP_c82e8168": {
   "en": "Mask Feature Branch Unified Feature",
   "zh": "掩码特征分支统一特征",
   "level": "l3"
  },
  "CAP_5942014b": {
   "en": "Dynamic Convolution Mask Generation and Matrix NMS",
   "zh": "动态卷积掩码生成与 Matrix NMS",
   "level": "l2"
  },
  "CAP_91c10701": {
   "en": "Dynamic Convolution Mask Generation",
   "zh": "动态卷积掩码生成",
   "level": "l3"
  },
  "CAP_324b321b": {
   "en": "Matrix NMS Parallel Deduplication",
   "zh": "Matrix NMS 并行去重",
   "level": "l3"
  },
  "CAP_0d326873": {
   "en": "Mask Upsample Threshold Output",
   "zh": "掩码上采样阈值化输出",
   "level": "l2"
  },
  "CAP_b5e24306": {
   "en": "Mask Upsample Bilinear Threshold",
   "zh": "掩码双线性上采样阈值化",
   "level": "l3"
  },
  "CAP_a9e7b6bb": {
   "en": "Instance Result Formatting (No Bbox)",
   "zh": "实例结果格式化（无Bbox）",
   "level": "l3"
  },
  "CAP_ddc10a21": {
   "en": "Backbone-Encoder IAM Prediction",
   "zh": "骨干编码器-IAM 预测",
   "level": "l2"
  },
  "CAP_fe5d6a39": {
   "en": "Backbone-PPM Single-Scale Encoder",
   "zh": "骨干-PPM 单尺度编码器",
   "level": "l3"
  },
  "CAP_23061fe9": {
   "en": "IAM Head Group Activation Maps",
   "zh": "IAM 头分组实例激活图",
   "level": "l3"
  },
  "CAP_33d99a7c": {
   "en": "Weighted Pooling Multi-head Prediction",
   "zh": "加权池化多头预测",
   "level": "l2"
  },
  "CAP_268d2fa0": {
   "en": "IAM Weighted Pooling Feature Aggregation",
   "zh": "IAM 加权池化特征聚合",
   "level": "l3"
  },
  "CAP_899d9561": {
   "en": "MLP Prediction Heads",
   "zh": "MLP 预测头",
   "level": "l3"
  },
  "CAP_6e483b3c": {
   "en": "Mask Feature Projection",
   "zh": "掩码特征投影",
   "level": "l3"
  },
  "CAP_e4b3d7d4": {
   "en": "Score Filter Output",
   "zh": "置信度过滤输出",
   "level": "l2"
  },
  "CAP_e36f4d41": {
   "en": "Score Threshold Filter No-NMS",
   "zh": "置信度阈值过滤（无NMS）",
   "level": "l3"
  },
  "CAP_530b06de": {
   "en": "Mask Upsample Result Formatting",
   "zh": "掩码上采样结果格式化",
   "level": "l3"
  },
  "CAP_0fe19fa1": {
   "en": "Dataset Preparation and Model Training",
   "zh": "数据集准备与模型训练",
   "level": "l2"
  },
  "CAP_5624716d": {
   "en": "YOLO-Seg Dataset Preparation and Augmentation",
   "zh": "YOLO-Seg 数据集准备与增强",
   "level": "l3"
  },
  "CAP_4d5326d5": {
   "en": "YOLOv8-Seg/RTMDet-Ins Training",
   "zh": "YOLOv8-Seg/RTMDet-Ins 训练",
   "level": "l3"
  },
  "CAP_1c60c730": {
   "en": "ONNX Export and TensorRT Engine Build",
   "zh": "ONNX 导出与 TensorRT 引擎构建",
   "level": "l2"
  },
  "CAP_924697ba": {
   "en": "TensorRT FP16/INT8 Engine Build",
   "zh": "TensorRT FP16/INT8 引擎构建",
   "level": "l3"
  },
  "CAP_4c5d8331": {
   "en": "Edge Inference and Robotic Post-Processing",
   "zh": "边缘推理与机器人后处理",
   "level": "l2"
  },
  "CAP_d187431e": {
   "en": "TensorRT Edge CUDA Inference",
   "zh": "TensorRT 边缘 CUDA 推理",
   "level": "l3"
  },
  "CAP_816d1e30": {
   "en": "ROS2 Instance Segmentation Node",
   "zh": "ROS2 实例分割节点",
   "level": "l3"
  },
  "CAP_5f448ae8": {
   "en": "Robot Task Post-Processing (PCA Grasp)",
   "zh": "机器人任务后处理（PCA抓取）",
   "level": "l3"
  },
  "CAP_8524d966": {
   "en": "RTI-SQP Real-Time NMPC with Sparse IPM",
   "zh": "RTI-SQP 稀疏内点实时 NMPC",
   "level": "l2"
  },
  "CAP_5544f399": {
   "en": "OCP Symbolic Modeling",
   "zh": "OCP 符号化建模",
   "level": "l3"
  },
  "CAP_c6dd72a3": {
   "en": "QP Subproblem Construction",
   "zh": "QP 子问题构造",
   "level": "l3"
  },
  "CAP_2f118391": {
   "en": "Partial Condensing",
   "zh": "部分稀疏压缩",
   "level": "l3"
  },
  "CAP_4a31e344": {
   "en": "HPIPM Sparse IPM QP Solve",
   "zh": "HPIPM 稀疏内点 QP 求解",
   "level": "l3"
  },
  "CAP_0a6cfaec": {
   "en": "Preparation Feedback Phase Split",
   "zh": "准备反馈相分离",
   "level": "l3"
  },
  "CAP_fec7abe3": {
   "en": "First-Step Dispatch and Warm-Start Rolling",
   "zh": "首步下发与暖启动滚动",
   "level": "l3"
  },
  "CAP_942bf21f": {
   "en": "DDP-FDDP Receding-Horizon Optimal Control",
   "zh": "DDP/FDDP 滚动时域最优控制",
   "level": "l2"
  },
  "CAP_049a7df7": {
   "en": "OCP Contact Sequence Modeling",
   "zh": "OCP 接触序列建模",
   "level": "l3"
  },
  "CAP_0c3652c7": {
   "en": "Feasibility-Driven Line Search",
   "zh": "可行性驱动线搜索",
   "level": "l3"
  },
  "CAP_665cc5b1": {
   "en": "BoxFDDP Inequality Constraint Handling",
   "zh": "BoxFDDP 不等式约束处理",
   "level": "l3"
  },
  "CAP_f9514390": {
   "en": "Feedback Gain Application",
   "zh": "反馈增益应用",
   "level": "l3"
  },
  "CAP_3c9ffee5": {
   "en": "Embedded Code-Generated Custom MPC Solver",
   "zh": "嵌入式代码生成定制 MPC 求解器",
   "level": "l2"
  },
  "CAP_affb3bd6": {
   "en": "MPC Problem Symbolic Definition",
   "zh": "MPC 问题符号化定义",
   "level": "l3"
  },
  "CAP_f86a948f": {
   "en": "Sparsity Convexity Analysis",
   "zh": "稀疏性与凸性分析",
   "level": "l3"
  },
  "CAP_63d9471b": {
   "en": "C Code Template Instantiation",
   "zh": "C 代码模板实例化",
   "level": "l3"
  },
  "CAP_b4f14949": {
   "en": "Static Memory Compilation",
   "zh": "静态内存编译",
   "level": "l3"
  },
  "CAP_d20e840a": {
   "en": "MCU Deployment",
   "zh": "MCU 部署",
   "level": "l3"
  },
  "CAP_3770a8c1": {
   "en": "Online Warm-Start Solving",
   "zh": "在线热启动求解",
   "level": "l3"
  },
  "CAP_ffee9d46": {
   "en": "ADMM First-Order QP-MPC for MCU",
   "zh": "ADMM 一阶分裂 QP-MPC MCU 部署",
   "level": "l2"
  },
  "CAP_916e9395": {
   "en": "ADMM Rho Tuning",
   "zh": "ADMM ρ 参数标定",
   "level": "l3"
  },
  "CAP_2da8d3c0": {
   "en": "Riccati z-Update",
   "zh": "Riccati 原始变量更新",
   "level": "l3"
  },
  "CAP_4c196ace": {
   "en": "Primal u-Update",
   "zh": "原始 u 更新",
   "level": "l3"
  },
  "CAP_11168647": {
   "en": "Dual Lambda Update Convergence",
   "zh": "对偶 λ 更新与收敛",
   "level": "l3"
  },
  "CAP_5fa3df90": {
   "en": "ADMM Warm-Start",
   "zh": "ADMM 热启动",
   "level": "l3"
  },
  "CAP_5fe9d787": {
   "en": "ADMM First-Step Dispatch MCU",
   "zh": "ADMM 首步下发与 MCU 滚动",
   "level": "l3"
  },
  "CAP_0058d2ac": {
   "en": "Reference Control Gaussian Sampling",
   "zh": "参考控制高斯采样",
   "level": "l3"
  },
  "CAP_34443f10": {
   "en": "MPPI Cost Evaluation",
   "zh": "MPPI 代价评估",
   "level": "l3"
  },
  "CAP_1264a195": {
   "en": "Softmax Importance Weight",
   "zh": "softmax 重要性权重",
   "level": "l3"
  },
  "CAP_0846989f": {
   "en": "Weighted Average Control",
   "zh": "加权平均控制",
   "level": "l3"
  },
  "CAP_7c3089af": {
   "en": "MPPI First-Step Dispatch",
   "zh": "MPPI 首步下发",
   "level": "l3"
  },
  "CAP_a30c58f6": {
   "en": "MPPI Warm-Start Rolling",
   "zh": "MPPI 暖启动滚动",
   "level": "l3"
  },
  "CAP_121e23d6": {
   "en": "YOLO Single-Stage Detection",
   "zh": "YOLO 单阶段检测",
   "level": "l2"
  },
  "CAP_efb1bc42": {
   "en": "Anchor-Free Decoupled Head Detection",
   "zh": "Anchor-Free 解耦检测头检测",
   "level": "l3"
  },
  "CAP_f49f3868": {
   "en": "YOLO Training with TaskAlignedAssigner",
   "zh": "YOLO 训练与 TaskAlignedAssigner 标签分配",
   "level": "l3"
  },
  "CAP_148708cf": {
   "en": "RT-DETR Realtime End-to-End Detection",
   "zh": "RT-DETR 实时端到端检测",
   "level": "l2"
  },
  "CAP_011f3495": {
   "en": "Hybrid Encoder (AIFI + CCFM)",
   "zh": "RT-DETR 混合编码器（AIFI + CCFM）",
   "level": "l3"
  },
  "CAP_d9818a4b": {
   "en": "IoU-Aware Query Selection",
   "zh": "IoU 感知查询选择",
   "level": "l3"
  },
  "CAP_69119f40": {
   "en": "Transformer Decoder Iterative Refinement",
   "zh": "Transformer 解码器迭代精修",
   "level": "l3"
  },
  "CAP_ac002a77": {
   "en": "YOLO-World Open-Vocabulary Realtime Detection",
   "zh": "YOLO-World 开放词汇实时检测",
   "level": "l2"
  },
  "CAP_a506542b": {
   "en": "RepVL-PAN Multi-Modal Fusion",
   "zh": "RepVL-PAN 跨模态融合",
   "level": "l3"
  },
  "CAP_c86760b2": {
   "en": "Region-Text Contrastive Pretraining",
   "zh": "Region-Text 对比预训练",
   "level": "l3"
  },
  "CAP_0b6aac51": {
   "en": "Reparameterized Deployment Inference",
   "zh": "重参数化部署推理",
   "level": "l3"
  },
  "CAP_dc3f3b29": {
   "en": "TensorRT Edge Deployment for Realtime Detection",
   "zh": "TensorRT 边缘实时检测部署",
   "level": "l2"
  },
  "CAP_674ca5b2": {
   "en": "TensorRT Engine Build with FP16/INT8 Quantization",
   "zh": "TensorRT 引擎构建与 FP16/INT8 量化",
   "level": "l3"
  },
  "CAP_3e5e4155": {
   "en": "Async CUDA Stream Inference",
   "zh": "异步 CUDA Stream 推理",
   "level": "l3"
  },
  "CAP_3cce8f34": {
   "en": "Multi-Threaded Pre/Post-Processing",
   "zh": "多线程预/后处理",
   "level": "l3"
  },
  "CAP_169f837a": {
   "en": "DatasetFormatConversion",
   "zh": "数据集格式转换",
   "level": "l3"
  },
  "CAP_46ea4720": {
   "en": "Multi-Scale Augmentation",
   "zh": "多尺度数据增强",
   "level": "l3"
  },
  "CAP_11f3d522": {
   "en": "COCO Evaluation",
   "zh": "COCO 评测",
   "level": "l3"
  },
  "CAP_4edfa92a": {
   "en": "Two-Branch Top-Down Panoptic Fusion",
   "zh": "两分支自顶向下全景融合",
   "level": "l2"
  },
  "CAP_8581c8b5": {
   "en": "Query-Based Realtime Panoptic Segmentation",
   "zh": "查询式实时全景分割",
   "level": "l2"
  },
  "CAP_d8450bd2": {
   "en": "Bottom-Up Proposal-Free Panoptic Segmentation",
   "zh": "自底向上无提案全景分割",
   "level": "l2"
  },
  "CAP_28ce0cbd": {
   "en": "2-Way FPN Bidirectional Feature Fusion",
   "zh": "双向 FPN 特征融合",
   "level": "l3"
  },
  "CAP_300a8ce0": {
   "en": "Pixel Grouping Panoptic Fusion",
   "zh": "像素分组全景融合",
   "level": "l3"
  },
  "CAP_63239a11": {
   "en": "End-to-End Panoptic Label Synthesis",
   "zh": "端到端全景标签合成",
   "level": "l3"
  },
  "CAP_6f3c9c7d": {
   "en": "Parameter-Free Panoptic Fusion Head",
   "zh": "无参数全景融合头",
   "level": "l3"
  },
  "CAP_2b43d34a": {
   "en": "Dual-ASPP Context Aggregation",
   "zh": "双 ASPP 上下文聚合",
   "level": "l3"
  },
  "CAP_e48ecc53": {
   "en": "Dual-Decoder Feature Upsampling",
   "zh": "双解码器特征上采样",
   "level": "l3"
  },
  "CAP_0f8a0b5f": {
   "en": "Feature Pyramid Aggregator with CFA Re-parameterization",
   "zh": "CFA 重参数化特征金字塔聚合器",
   "level": "l3"
  },
  "CAP_a77ca03d": {
   "en": "Lightweight Backbone Feature Extraction",
   "zh": "轻量骨干特征提取",
   "level": "l3"
  },
  "CAP_ff41fb38": {
   "en": "Lightweight Backbone Feature Extraction (Query Panoptic)",
   "zh": "轻量骨干特征提取（查询式全景）",
   "level": "l3"
  },
  "CAP_ff628046": {
   "en": "Panoptic Kernels Dynamic Convolution Mask Prediction",
   "zh": "全景核动态卷积掩码预测",
   "level": "l3"
  },
  "CAP_eeac5d3c": {
   "en": "Separable Convolution Semantic Head",
   "zh": "可分离卷积语义头",
   "level": "l3"
  },
  "CAP_c8fa8b0a": {
   "en": "Separable Dynamic Decoder with SDCA",
   "zh": "SDCA 可分离动态解码器",
   "level": "l3"
  },
  "CAP_bc6b8c4f": {
   "en": "Class-Agnostic Center Offset Instance Head",
   "zh": "类无关中心偏移实例头",
   "level": "l3"
  },
  "CAP_488c572c": {
   "en": "Single-Shot Joint Detection-Pose Pipeline",
   "zh": "单阶段联合检测-姿态流水线",
   "level": "l2"
  },
  "CAP_27e9224b": {
   "en": "Anchor-Free Pose Detection Head",
   "zh": "Anchor-Free 姿态检测头",
   "level": "l3"
  },
  "CAP_f13a8bd0": {
   "en": "Keypoint Head for Single-Shot Pose",
   "zh": "单阶段姿态关键点头",
   "level": "l3"
  },
  "CAP_b57f4c72": {
   "en": "Single-Shot Pose NMS and Letterbox Inverse Affine",
   "zh": "单阶段姿态 NMS 与 Letterbox 逆仿射",
   "level": "l3"
  },
  "CAP_84becfe7": {
   "en": "KAPAO Object Fusion and Pose Output",
   "zh": "KAPAO 目标融合与姿态输出",
   "level": "l3"
  },
  "CAP_7ca3b7c3": {
   "en": "Mobile Edge Cross-Platform Pose Deployment Pipeline",
   "zh": "移动端边缘端跨平台姿态部署流水线",
   "level": "l2"
  },
  "CAP_fb0475bc": {
   "en": "Mobile Image Preprocessing and Letterbox",
   "zh": "移动端图像预处理与 Letterbox",
   "level": "l3"
  },
  "CAP_7cf20f53": {
   "en": "TFLite Model Loading and Quantization Selection",
   "zh": "TFLite 模型加载与量化选择",
   "level": "l3"
  },
  "CAP_0ed2445d": {
   "en": "Hardware Delegate Selection",
   "zh": "硬件 Delegate 选择",
   "level": "l3"
  },
  "CAP_344a6b9f": {
   "en": "NNAPI Delegate Application Android",
   "zh": "Android NNAPI Delegate 应用",
   "level": "l3"
  },
  "CAP_fd545bd3": {
   "en": "CoreML Delegate Application iOS",
   "zh": "iOS CoreML Delegate 应用",
   "level": "l3"
  },
  "CAP_2c178e68": {
   "en": "Lightweight Backbone Inference",
   "zh": "轻量骨干推理",
   "level": "l3"
  },
  "CAP_afdd3169": {
   "en": "Keypoint Decoding and Denormalization",
   "zh": "关键点解码与反归一化",
   "level": "l3"
  },
  "CAP_63837b4f": {
   "en": "SimCC Decoding and Real-Time Deployment",
   "zh": "SimCC 解码与实时部署",
   "level": "l2"
  },
  "CAP_2e7ddf7a": {
   "en": "SimCC Coordinate Classification Pose Regression",
   "zh": "SimCC 坐标分类姿态回归",
   "level": "l3"
  },
  "CAP_d7fbf064": {
   "en": "CSPNeXt Backbone with GAU Refine",
   "zh": "CSPNeXt 骨干网络与 GAU 精炼",
   "level": "l3"
  },
  "CAP_9ac712e9": {
   "en": "SimCC Coordinate Classification Head",
   "zh": "SimCC 坐标分类头",
   "level": "l3"
  },
  "CAP_56212a87": {
   "en": "SimCC Softmax Decoding",
   "zh": "SimCC Softmax 解码",
   "level": "l3"
  },
  "CAP_a1416a0d": {
   "en": "Real-Time Person Detection with Skip-Frame",
   "zh": "跳帧实时人体检测",
   "level": "l3"
  },
  "CAP_3ecac8a3": {
   "en": "OpenVINO Model Conversion and Deployment",
   "zh": "OpenVINO模型转换与部署",
   "level": "l3"
  },
  "CAP_9f2a7b3e": {
   "en": "Bbox Tracking-by-Detection MOT",
   "zh": "边界框 Tracking-by-Detection 多目标跟踪",
   "level": "l2"
  },
  "CAP_1437d12c": {
   "en": "Multi-Object Tracking",
   "zh": "多目标跟踪",
   "level": "l3"
  },
  "CAP_6806e54c": {
   "en": "Pose NMS and EMA Smoothing",
   "zh": "姿态 NMS 与 EMA 平滑",
   "level": "l3"
  },
  "CAP_e55be375": {
   "en": "SmoothNet Plug-and-Play Temporal Refinement",
   "zh": "SmoothNet 即插即用时序精化",
   "level": "l3"
  },
  "CAP_7d86348a": {
   "en": "Switchable-Edge Search Rescheduling",
   "zh": "可切换边搜索重调度",
   "level": "l3"
  },
  "CAP_44fd1af4": {
   "en": "Deadline Schedulability Verification",
   "zh": "截止时间可调度性验证",
   "level": "l2"
  },
  "CAP_bd5465f0": {
   "en": "MILP/CP-SAT Schedule Reoptimization",
   "zh": "MILP/CP-SAT 调度重优化",
   "level": "l3"
  },
  "CAP_eed9598b": {
   "en": "Realtime Two-Branch Semantic Segmentation",
   "zh": "实时双分支语义分割",
   "level": "l2"
  },
  "CAP_e5cb8355": {
   "en": "Spatial Detail Feature Extraction",
   "zh": "空间细节特征提取",
   "level": "l3"
  },
  "CAP_01cf0985": {
   "en": "Context Semantic Feature Extraction",
   "zh": "上下文语义特征提取",
   "level": "l3"
  },
  "CAP_d4b53b49": {
   "en": "Bilateral Feature Fusion",
   "zh": "双分支特征融合",
   "level": "l3"
  },
  "CAP_58a225b5": {
   "en": "Realtime Segmentation Head Inference",
   "zh": "实时分割头推理",
   "level": "l3"
  },
  "CAP_53e7d42b": {
   "en": "TensorRT Segmentation Runtime Inference",
   "zh": "TensorRT 分割运行时推理",
   "level": "l3"
  },
  "CAP_8a431bb7": {
   "en": "Safety Light Curtain Configuration",
   "zh": "安全光幕配置与安装",
   "level": "l3"
  },
  "CAP_c530daa9": {
   "en": "Muting and Blanking Control",
   "zh": "屏蔽与消隐控制",
   "level": "l3"
  },
  "CAP_4974a756": {
   "en": "Safety Laser Scanner Sensing",
   "zh": "安全激光扫描仪感知",
   "level": "l2"
  },
  "CAP_f4a9c971": {
   "en": "Zone Evaluation and Output",
   "zh": "区域评估与输出",
   "level": "l2"
  },
  "CAP_a35c92f1": {
   "en": "Safety Zone Logic and Execution",
   "zh": "安全区域逻辑与执行",
   "level": "l2"
  },
  "CAP_34c794e5": {
   "en": "ToF Distance Measurement and Scan",
   "zh": "飞行时间测距与扫描",
   "level": "l3"
  },
  "CAP_0e5d8246": {
   "en": "Dynamic Zone Set Switching",
   "zh": "动态区域集切换",
   "level": "l3"
  },
  "CAP_0169231c": {
   "en": "3D Safety Camera Sensing",
   "zh": "三维安全摄像头感知",
   "level": "l2"
  },
  "CAP_e466947d": {
   "en": "Triple Camera Stereoscopic Image Acquisition",
   "zh": "三相机立体图像采集",
   "level": "l3"
  },
  "CAP_fb24a945": {
   "en": "PSS Safety Controller Evaluation",
   "zh": "PSS安全控制器评估",
   "level": "l3"
  },
  "CAP_122fcc91": {
   "en": "Tiered Safety Response Execution",
   "zh": "分级安全响应执行",
   "level": "l3"
  },
  "CAP_eb54245a": {
   "en": "Safety Camera Recovery and Restart Interlock",
   "zh": "安全摄像头恢复与重启联锁",
   "level": "l3"
  },
  "CAP_81a917b7": {
   "en": "PLC Instrumentation and Workspace Optimization",
   "zh": "PLC仪器化与工作区优化",
   "level": "l3"
  },
  "CAP_73583b80": {
   "en": "Programmable Light Curtain Hardware Operation",
   "zh": "可编程光幕硬件操作",
   "level": "l2"
  },
  "CAP_5dc4ebdb": {
   "en": "Dynamic Safety Envelope Design",
   "zh": "动态安全包络设计",
   "level": "l3"
  },
  "CAP_6e12b872": {
   "en": "Dynamic Safety Curtain Projection",
   "zh": "动态安全光幕投影",
   "level": "l3"
  },
  "CAP_b4c18ae3": {
   "en": "Safety Envelope Intrusion Detection",
   "zh": "安全包络入侵检测",
   "level": "l3"
  },
  "CAP_e8aa9641": {
   "en": "Interleaved Scene Reconstruction",
   "zh": "交错场景重建",
   "level": "l3"
  },
  "CAP_cfc79f12": {
   "en": "Pressure-Sensitive Mat Floor Presence Sensing",
   "zh": "压敏垫地面存在感知",
   "level": "l2"
  },
  "CAP_2838502f": {
   "en": "Pressure-Sensitive Mat Layout and Installation",
   "zh": "压敏垫铺设与安装",
   "level": "l3"
  },
  "CAP_733f8121": {
   "en": "Pressure Activation and Circuit Closure Detection",
   "zh": "压力激活与电路闭合检测",
   "level": "l3"
  },
  "CAP_6b5db371": {
   "en": "Safety Relay Dual-Channel Evaluation",
   "zh": "安全继电器双通道评估",
   "level": "l3"
  },
  "CAP_6059b3c8": {
   "en": "Vendor Real-Time Ethernet Robot Control Interface",
   "zh": "厂商实时以太网机器人控制接口",
   "level": "l2"
  },
  "CAP_b4607dbf": {
   "en": "FCI Connection and Motion Generator Callback Registration",
   "zh": "FCI 连接与运动生成器回调注册",
   "level": "l3"
  },
  "CAP_9327d319": {
   "en": "RobotState Real-Time State Reading",
   "zh": "RobotState 实时状态读取",
   "level": "l3"
  },
  "CAP_7a4cfed4": {
   "en": "1kHz Reference Curve Explicit Generation",
   "zh": "1kHz 参考曲线显式生成",
   "level": "l3"
  },
  "CAP_aae737d2": {
   "en": "FCI Limit and Discontinuity Check",
   "zh": "FCI 限制与不连续性检查",
   "level": "l3"
  },
  "CAP_824eb387": {
   "en": "ROS2 Real-Time Hardware Abstraction Stack",
   "zh": "ROS2 实时硬件抽象接口栈",
   "level": "l2"
  },
  "CAP_0288e4ae": {
   "en": "Realtime Tools Lock-Free Data Exchange",
   "zh": "realtime_tools 无锁数据交换",
   "level": "l3"
  },
  "CAP_031a9802": {
   "en": "Mock Hardware Behavior Configuration",
   "zh": "Mock 硬件行为参数化",
   "level": "l3"
  },
  "CAP_93fba767": {
   "en": "Plant Model Compilation & Real-Time Code Generation",
   "zh": "被控对象模型编译与实时代码生成",
   "level": "l3"
  },
  "CAP_86cbfff7": {
   "en": "Host-Target Real-Time Data Path & Monitoring",
   "zh": "Host-Target 实时数据通路与监控",
   "level": "l3"
  },
  "CAP_0b35abcb": {
   "en": "RT Kernel Build and Install",
   "zh": "RT内核构建与安装",
   "level": "l3"
  },
  "CAP_706b1269": {
   "en": "Cobalt Dual-Kernel Build and Install",
   "zh": "Cobalt双内核构建与安装",
   "level": "l3"
  },
  "CAP_a431e09b": {
   "en": "Cobalt Runtime Isolation and Domain Configuration",
   "zh": "Cobalt运行时隔离与域配置",
   "level": "l3"
  },
  "CAP_9ac320ac": {
   "en": "Alchemy API Real-Time Task Development",
   "zh": "Alchemy API实时任务开发",
   "level": "l3"
  },
  "CAP_7be9eaa8": {
   "en": "Xenomai Latency Verification",
   "zh": "Xenomai延迟验证",
   "level": "l3"
  },
  "CAP_11aa1b9f": {
   "en": "Fleet-Level Online RL Data Flywheel",
   "zh": "车队级在线 RL 数据飞轮",
   "level": "l3"
  },
  "CAP_83779ffa": {
   "en": "CBF-Shielded RL Safe Exploration",
   "zh": "CBF 屏蔽 RL 安全探索",
   "level": "l2"
  },
  "CAP_ce4257ee": {
   "en": "Guided CBF Compensation Accumulation",
   "zh": "引导式 CBF 补偿累加",
   "level": "l3"
  },
  "CAP_81197a22": {
   "en": "CBF-RL Dual Safety Training Internalization",
   "zh": "CBF-RL 双途径安全训练内化",
   "level": "l3"
  },
  "CAP_deb1e5c2": {
   "en": "Barrier-Inspired Reward Shaping",
   "zh": "屏障启发式奖励塑形",
   "level": "l3"
  },
  "CAP_5cc799c5": {
   "en": "Privileged Learning Two-Stage Training",
   "zh": "特权学习两阶段策略训练",
   "level": "l3"
  },
  "CAP_36f863db": {
   "en": "Async Real-Time RL Inference with Online Adaptation",
   "zh": "异步实时 RL 推理与在线适应部署",
   "level": "l3"
  },
  "CAP_cecf070d": {
   "en": "VLA-DT Pretrained Model Online RL Finetuning Pipeline",
   "zh": "预训练大模型在线 RL 微调控制流水线",
   "level": "l2"
  },
  "CAP_e95bd20a": {
   "en": "Pretrained VLA-DT Base Model Task Setup",
   "zh": "预训练 VLA/DT 基座模型与任务配置",
   "level": "l3"
  },
  "CAP_f2080c4b": {
   "en": "Offline Value Distribution Critic Training",
   "zh": "离线值分布 Critic Transformer 训练",
   "level": "l3"
  },
  "CAP_91815aa8": {
   "en": "Dual Buffer Pool Online RL Update",
   "zh": "双缓冲池在线 RL 更新",
   "level": "l3"
  },
  "CAP_a1108c14": {
   "en": "Online Decision Transformer Fine-Tuning",
   "zh": "在线 Decision Transformer 微调",
   "level": "l3"
  },
  "CAP_eda7385d": {
   "en": "Real-Robot VLA RL Deployment & Continuous Evolution",
   "zh": "真机 VLA RL 部署与持续进化",
   "level": "l3"
  },
  "CAP_d7868a35": {
   "en": "Multi-Platform Real Robot RL Environment",
   "zh": "多平台真机 RL 环境与奖励接口",
   "level": "l3"
  },
  "CAP_8ea61257": {
   "en": "PolicyDeploymentInference",
   "zh": "策略部署推理",
   "level": "l3"
  },
  "CAP_47915e7a": {
   "en": "BVH Acceleration Structure Build",
   "zh": "BVH 加速结构构建",
   "level": "l3"
  },
  "CAP_837ad6b1": {
   "en": "Ray Tracing Pipeline Configuration",
   "zh": "光线追踪管线配置",
   "level": "l3"
  },
  "CAP_61284a4d": {
   "en": "Hardware Ray Traversal Execution",
   "zh": "硬件光线遍历执行",
   "level": "l3"
  },
  "CAP_edc8978a": {
   "en": "Low SPP Path Tracing",
   "zh": "低样本路径追踪",
   "level": "l3"
  },
  "CAP_6d3e0056": {
   "en": "Spatio Temporal Denoising",
   "zh": "时空降噪",
   "level": "l3"
  },
  "CAP_2d3bd3a9": {
   "en": "Hybrid Ray Tracing",
   "zh": "混合光线追踪",
   "level": "l2"
  },
  "CAP_4d4262de": {
   "en": "SDF Software Ray Tracing",
   "zh": "SDF 软光追",
   "level": "l3"
  },
  "CAP_1b465eee": {
   "en": "HWRT Surface Cache Pipeline",
   "zh": "硬件光追表面缓存管线",
   "level": "l3"
  },
  "CAP_8c9e02a7": {
   "en": "Audsley Priority Assignment",
   "zh": "Audsley优先级分配算法",
   "level": "l3"
  },
  "CAP_72a91794": {
   "en": "dbf Test Point Minimization",
   "zh": "dbf测试点最小化",
   "level": "l3"
  },
  "CAP_0780edd2": {
   "en": "Multiprocessor EDF Scheduling",
   "zh": "多核EDF调度",
   "level": "l3"
  },
  "CAP_8ff230fe": {
   "en": "3D Twin Real-time Data Synchronization",
   "zh": "3D孪生实时数据同步",
   "level": "l2"
  },
  "CAP_b9502cf9": {
   "en": "ROS2 Joint State Publishing",
   "zh": "ROS2 关节状态发布",
   "level": "l3"
  },
  "CAP_e5eef6d0": {
   "en": "TF2 Transform Broadcast & Odometry",
   "zh": "TF2 变换广播与里程计发布",
   "level": "l3"
  },
  "CAP_2988108c": {
   "en": "DDS QoS Policy Configuration",
   "zh": "DDS QoS 策略配置",
   "level": "l3"
  },
  "CAP_c8f00828": {
   "en": "Virtual Model State Mapping and Synchronization",
   "zh": "虚拟模型状态映射同步",
   "level": "l3"
  },
  "CAP_66bd7435": {
   "en": "Reverse Control Command Publishing",
   "zh": "反向控制指令发布",
   "level": "l3"
  },
  "CAP_9d25531b": {
   "en": "Multi-protocol OT Data Acquisition",
   "zh": "多协议 OT 数据采集",
   "level": "l3"
  },
  "CAP_485d47ba": {
   "en": "Industrial IoT Edge Data Processing",
   "zh": "工业 IoT 边缘数据处理",
   "level": "l3"
  },
  "CAP_4f69d63f": {
   "en": "OT Protocol Conversion to MQTT",
   "zh": "OT 协议转换与 MQTT 发布",
   "level": "l3"
  },
  "CAP_50e47cf9": {
   "en": "Unified Namespace Mapping and MQTT Publishing",
   "zh": "统一命名空间映射与 MQTT 发布",
   "level": "l3"
  },
  "CAP_64cc51bf": {
   "en": "VDA5050 Order Command Publishing",
   "zh": "VDA5050 控制指令发布与执行",
   "level": "l3"
  },
  "CAP_6f0e47ee": {
   "en": "CAD to USD Asset Conversion",
   "zh": "CAD资产USD格式转换",
   "level": "l3"
  },
  "CAP_e20af22d": {
   "en": "USD Scene Physics & Material Setup",
   "zh": "USD场景物理与材质配置",
   "level": "l3"
  },
  "CAP_f8f7b4e6": {
   "en": "USD Prim Attribute Live Write",
   "zh": "USD Prim 属性实时写入",
   "level": "l3"
  },
  "CAP_fa8779c2": {
   "en": "Omniverse Fabric Runtime Synchronization",
   "zh": "Omniverse Fabric 运行时同步",
   "level": "l3"
  },
  "CAP_dbe13be2": {
   "en": "Omniverse Nucleus Live Sync",
   "zh": "Omniverse Nucleus Live Sync 协作同步",
   "level": "l3"
  },
  "CAP_b2bff5d8": {
   "en": "3D Spatial Streaming Remote Monitoring",
   "zh": "3D空间流式远程监控",
   "level": "l3"
  },
  "CAP_c78e7b25": {
   "en": "OmniGraph Articulation Joint Control",
   "zh": "OmniGraph Articulation 关节控制",
   "level": "l3"
  },
  "CAP_b891259f": {
   "en": "FANUC ROBOGUIDE Isaac Sim Integration",
   "zh": "FANUC ROBOGUIDE 与 Isaac Sim 集成",
   "level": "l3"
  },
  "CAP_1ac4047d": {
   "en": "HIL Platform Clock Synchronization Setup",
   "zh": "HIL平台时钟同步搭建",
   "level": "l3"
  },
  "CAP_77cc82bd": {
   "en": "FMU Model Build and Export",
   "zh": "FMU模型构建与导出",
   "level": "l3"
  },
  "CAP_b53507fb": {
   "en": "NI VeriStand PCL Deployment",
   "zh": "NI VeriStand Primary Control Loop 部署",
   "level": "l3"
  },
  "CAP_1dd2224d": {
   "en": "Deterministic Control Loop Verification",
   "zh": "确定性控制环验证",
   "level": "l3"
  },
  "CAP_e7026e87": {
   "en": "Centralized Standardized Real-Robot Benchmark Evaluation",
   "zh": "集中式标准化真机操作任务基准评测",
   "level": "l2"
  },
  "CAP_7dedd4e8": {
   "en": "ManipArena Layered OOD Real-Robot Evaluation",
   "zh": "ManipArena分层OOD真机评测",
   "level": "l3"
  },
  "CAP_044b0966": {
   "en": "RoboChallenge Table30 Standardized Real-Robot Evaluation",
   "zh": "RoboChallenge Table30标准化真机评测",
   "level": "l3"
  },
  "CAP_98b0e617": {
   "en": "EAI Bench Industry-Grade Benchmark Evaluation",
   "zh": "EAI Bench产业级具身智能基准评测",
   "level": "l3"
  },
  "CAP_520eb16b": {
   "en": "Layered OOD Generalization Decay Curve Generation",
   "zh": "分层OOD泛化衰减曲线生成",
   "level": "l3"
  },
  "CAP_8724cd99": {
   "en": "Sub-Task Progress Scoring",
   "zh": "子任务分段进度评分",
   "level": "l3"
  },
  "CAP_f0b281be": {
   "en": "Distributed Crowdsourced Real-Robot Evaluation",
   "zh": "分布式众包真机评测",
   "level": "l2"
  },
  "CAP_456870cc": {
   "en": "RoboArena Paired Double-Blind A/B Evaluation",
   "zh": "RoboArena配对双盲A/B评测",
   "level": "l3"
  },
  "CAP_474c5ae5": {
   "en": "ManipulationNet Standardized Task Distributed Evaluation",
   "zh": "ManipulationNet标准化任务分布式评测",
   "level": "l3"
  },
  "CAP_bcb2fed2": {
   "en": "Distributed Evaluation Community Audit",
   "zh": "分布式评测社区审计",
   "level": "l3"
  },
  "CAP_cc6b4015": {
   "en": "Real-World Scene & Object Asset Standardization",
   "zh": "真机评测场景与物体资产标准化",
   "level": "l2"
  },
  "CAP_7ee7de24": {
   "en": "SceneReplica Replicable Scene Construction and Evaluation",
   "zh": "SceneReplica可复现场景构建与评估",
   "level": "l3"
  },
  "CAP_22e76627": {
   "en": "Standardized Object Set Management",
   "zh": "标准化物体集管理",
   "level": "l3"
  },
  "CAP_0b92b5cb": {
   "en": "ROS2 System Topology-Level Performance Benchmark",
   "zh": "ROS2 系统拓扑级性能基准",
   "level": "l3"
  },
  "CAP_1265175d": {
   "en": "Cross-Platform Performance Comparison and Hardware Selection",
   "zh": "跨硬件平台性能对比与选型决策",
   "level": "l3"
  },
  "CAP_c74833da": {
   "en": "Demonstration Quality Filtering and Alignment",
   "zh": "演示数据质量过滤与跨域对齐",
   "level": "l3"
  },
  "CAP_36cfb4b5": {
   "en": "Real-World Policy Deployment Evaluation",
   "zh": "真机策略部署评估",
   "level": "l3"
  },
  "CAP_e1e63e1d": {
   "en": "Failure Case Analysis and Iteration Signal",
   "zh": "失败案例分析与迭代信号",
   "level": "l3"
  },
  "CAP_11ef211c": {
   "en": "Residual Policy Real-World Fine-Tuning",
   "zh": "残差策略真实世界微调",
   "level": "l2"
  },
  "CAP_4d0437bd": {
   "en": "Safe Residual Policy Deployment with Action Bounding",
   "zh": "有界残差安全部署",
   "level": "l3"
  },
  "CAP_06fe10cb": {
   "en": "Online RL Fine-Tuning with Bounded Residual",
   "zh": "有界残差在线RL微调",
   "level": "l3"
  },
  "CAP_9798d4e1": {
   "en": "Latent Dynamics Adaptation Fine-Tuning",
   "zh": "隐变量环境动力学在线适配微调",
   "level": "l2"
  },
  "CAP_e46877b6": {
   "en": "Online Latent Variable Optimization",
   "zh": "在线隐变量优化",
   "level": "l3"
  },
  "CAP_bf486e2c": {
   "en": "Latent Adaptation Module Integration",
   "zh": "隐变量在线适配模块集成",
   "level": "l3"
  },
  "CAP_af18e416": {
   "en": "Latent Estimation Module Training",
   "zh": "隐变量估计模块训练",
   "level": "l3"
  },
  "CAP_402e7d46": {
   "en": "Human-in-the-Loop Online RL Fine-Tuning",
   "zh": "人在回路在线强化学习微调",
   "level": "l2"
  },
  "CAP_41df7877": {
   "en": "Goal-Conditioned Motion Execution",
   "zh": "目标条件化运动执行",
   "level": "l3"
  },
  "CAP_c62fdab3": {
   "en": "Closed-Loop Sequence Replanning",
   "zh": "闭环序列重规划",
   "level": "l3"
  },
  "CAP_dfb49af0": {
   "en": "Experience-Goal Scene Specification",
   "zh": "示例场景目标规范",
   "level": "l2"
  },
  "CAP_671a91aa": {
   "en": "Goal-State Exploration",
   "zh": "目标状态探索",
   "level": "l3"
  },
  "CAP_85d92e9f": {
   "en": "Dense Feature Change Detection",
   "zh": "稠密特征变化检测",
   "level": "l3"
  },
  "CAP_f6abc9c8": {
   "en": "Isaac Lab Policy Rollout Test",
   "zh": "Isaac Lab 策略 Rollout 测试",
   "level": "l3"
  },
  "CAP_0c161439": {
   "en": "Generalist Pretrain-Finetune Pipeline",
   "zh": "通用机器人策略预训练-微调流水线",
   "level": "l2"
  },
  "CAP_8e1c926c": {
   "en": "Pretrained Checkpoint Publishing",
   "zh": "预训练 checkpoint 发布",
   "level": "l3"
  },
  "CAP_ab17dad7": {
   "en": "Dual-Arm Schedule Translation",
   "zh": "双臂调度结果翻译",
   "level": "l3"
  },
  "CAP_b903172f": {
   "en": "Post-Update Firmware Verification",
   "zh": "更新后固件验证",
   "level": "l2"
  },
  "CAP_6b3d2cc0": {
   "en": "Application Self-Test Execution",
   "zh": "应用自测执行",
   "level": "l3"
  },
  "CAP_2d7db5f3": {
   "en": "Recovery Policy Augmented Safe RL",
   "zh": "恢复策略增强安全强化学习",
   "level": "l2"
  },
  "CAP_c605e7a4": {
   "en": "Safety Critic Recovery Zone Learning",
   "zh": "安全评论家恢复区学习",
   "level": "l3"
  },
  "CAP_007ff003": {
   "en": "Recovery Policy Intervention Control",
   "zh": "恢复策略干预控制",
   "level": "l3"
  },
  "CAP_c39f948b": {
   "en": "Nav2 Recovery Effectiveness Post-Verification",
   "zh": "Nav2 恢复有效性后验验证",
   "level": "l3"
  },
  "CAP_9203d066": {
   "en": "Industrial Arm Collision Recovery Effectiveness Post-Verification",
   "zh": "工业机械臂碰撞恢复有效性后验验证",
   "level": "l3"
  },
  "CAP_ddbb6b3c": {
   "en": "Bond Heartbeat Crash Detection and Cascade Recovery",
   "zh": "Bond 心跳崩溃检测与级联恢复",
   "level": "l3"
  },
  "CAP_4ecddb15": {
   "en": "Lifecycle Node Crash Recovery Effectiveness Post-Verification",
   "zh": "Lifecycle 节点崩溃恢复有效性后验验证",
   "level": "l3"
  },
  "CAP_b1618be8": {
   "en": "LLM-Driven Symbolic Representation Extraction",
   "zh": "LLM 驱动符号表示抽取",
   "level": "l3"
  },
  "CAP_78c7b01a": {
   "en": "Automated Hypothesis Space Construction",
   "zh": "自动化假设空间构造",
   "level": "l3"
  },
  "CAP_e4e63fd3": {
   "en": "Internal Representation Probe Confidence",
   "zh": "内部表示探针置信度",
   "level": "l3"
  },
  "CAP_6143a669": {
   "en": "Multimodal MindNet for Person-Specific Belief Modeling",
   "zh": "多模态人物专属心智网络",
   "level": "l3"
  },
  "CAP_4fec9d28": {
   "en": "Level-0 Baseline Strategy Generation",
   "zh": "Level-0基线策略生成",
   "level": "l3"
  },
  "CAP_9a882165": {
   "en": "Process Belief Model Scoring",
   "zh": "过程信念模型评分",
   "level": "l3"
  },
  "CAP_16be5a23": {
   "en": "Hedged Belief Contraction and Multi-Agent Revision",
   "zh": "Hedged信念收缩与多智能体修正",
   "level": "l3"
  },
  "CAP_24ab33bf": {
   "en": "Action Model Synthesis",
   "zh": "动作模型合成",
   "level": "l3"
  },
  "CAP_70ff85f9": {
   "en": "Perspective Filtering and Character Knowledge Boundary",
   "zh": "视角过滤与角色知识边界",
   "level": "l3"
  },
  "CAP_47f7baea": {
   "en": "Temporal Belief State Chain Construction",
   "zh": "时间轴信念状态链构造",
   "level": "l3"
  },
  "CAP_f2806016": {
   "en": "Recursive Perspective Construction",
   "zh": "递归视角构造",
   "level": "l3"
  },
  "CAP_63b2e053": {
   "en": "SoO Prefilling Perspective Anchoring",
   "zh": "SoO预填充视角锚定",
   "level": "l3"
  },
  "CAP_881897ab": {
   "en": "Symmetric Multi-Agent ToM Modeling",
   "zh": "对称多智能体ToM建模",
   "level": "l3"
  },
  "CAP_61aea743": {
   "en": "Hardware Isolation Switch",
   "zh": "硬件故障隔离与旁路",
   "level": "l3"
  },
  "CAP_56bc5033": {
   "en": "Transient Fault Filter",
   "zh": "瞬态故障滤波与误隔离抑制",
   "level": "l3"
  },
  "CAP_3a9d053b": {
   "en": "Pseudo-Inverse Control Allocation",
   "zh": "伪逆控制分配",
   "level": "l3"
  },
  "CAP_667a5b14": {
   "en": "Weighted Pseudo-Inverse Online Update",
   "zh": "加权伪逆分配在线更新",
   "level": "l3"
  },
  "CAP_7732aed7": {
   "en": "Redistributed Prioritization",
   "zh": "重分配优先级放松",
   "level": "l3"
  },
  "CAP_e84aef51": {
   "en": "Explicit Control Allocation",
   "zh": "显式控制分配",
   "level": "l3"
  },
  "CAP_9445b1b3": {
   "en": "Software Process and Node Hot Standby Failover",
   "zh": "软件进程与节点热备故障切换",
   "level": "l2"
  },
  "CAP_8652d4fd": {
   "en": "Process Heartbeat Monitoring",
   "zh": "进程心跳监测",
   "level": "l3"
  },
  "CAP_8b42bc92": {
   "en": "Heartbeat Timeout Detection",
   "zh": "心跳超时检测",
   "level": "l3"
  },
  "CAP_054845de": {
   "en": "Fault Confirmation N Consecutive",
   "zh": "连续N次超时故障确认",
   "level": "l3"
  },
  "CAP_64ba1043": {
   "en": "Hot Standby State Replication",
   "zh": "热备状态复制",
   "level": "l3"
  },
  "CAP_bcb4f85c": {
   "en": "Failover Traffic Switchover",
   "zh": "故障切换流量接管",
   "level": "l3"
  },
  "CAP_9b395a2a": {
   "en": "Recovery Verification and Rejoin",
   "zh": "恢复校验与重新加入",
   "level": "l3"
  },
  "CAP_ca6b36e9": {
   "en": "Slot Metadata State Machine",
   "zh": "槽位状态机管理",
   "level": "l3"
  },
  "CAP_0d4c863d": {
   "en": "Bootloader Slot Selection",
   "zh": "bootloader选槽",
   "level": "l3"
  },
  "CAP_e436fcdf": {
   "en": "S-R-S Arm Angle Closed-Form IK",
   "zh": "S-R-S 构型臂角闭式逆运动学求解",
   "level": "l3"
  },
  "CAP_1e46ee55": {
   "en": "Joint Limit Feasible Arm Angle Interval Computation",
   "zh": "关节限位可行臂角区间计算",
   "level": "l3"
  },
  "CAP_5ea417af": {
   "en": "Arm Angle Optimization for Secondary Criterion",
   "zh": "臂角次目标优化选解",
   "level": "l3"
  },
  "CAP_bfaeae78": {
   "en": "Stereographic SEW Angle Singularity Avoidance",
   "zh": "立体投影 SEW 角奇异消除",
   "level": "l3"
  },
  "CAP_7781c4b0": {
   "en": "Arm Angle Parameterization Redundancy Resolution",
   "zh": "臂角参数化冗余解析",
   "level": "l2"
  },
  "CAP_ce0dbbc9": {
   "en": "Analytical IK Solution Enumeration",
   "zh": "解析逆运动学全解枚举",
   "level": "l3"
  },
  "CAP_a0dd4f45": {
   "en": "Multi-Solution Enumeration Redundancy Resolution",
   "zh": "多解枚举冗余解析",
   "level": "l2"
  },
  "CAP_d5bd9361": {
   "en": "Diffusion Model IK Solution Generation",
   "zh": "扩散模型逆运动学解生成",
   "level": "l3"
  },
  "CAP_90e9f054": {
   "en": "Graph Neural Network Cross-Robot IK Generation",
   "zh": "图神经网络跨机器人逆运动学解生成",
   "level": "l3"
  },
  "CAP_8e7bace4": {
   "en": "Hybrid Warm-Start IK with Classical Refinement",
   "zh": "学习-经典混合热启动逆运动学",
   "level": "l3"
  },
  "CAP_99137af2": {
   "en": "Global Continuous Pseudoinversion of Forward Kinematic Map",
   "zh": "前向运动学映射全局连续伪逆",
   "level": "l3"
  },
  "CAP_8cdf4e49": {
   "en": "Task-Space Constrained Trajectory Optimization with Redundancy",
   "zh": "任务空间约束冗余轨迹优化",
   "level": "l3"
  },
  "CAP_ba0000d4": {
   "en": "Repeatable Generalized Inverse Construction",
   "zh": "可重复广义逆构造",
   "level": "l3"
  },
  "CAP_3c0fc397": {
   "en": "QP-Based Joint Drift Elimination",
   "zh": "基于二次规划的关节漂移消除",
   "level": "l3"
  },
  "CAP_96092902": {
   "en": "Redundant Controller Switchover",
   "zh": "冗余控制器切换",
   "level": "l2"
  },
  "CAP_d83735f8": {
   "en": "Redundancy Sync Link Setup",
   "zh": "冗余同步链路建立",
   "level": "l3"
  },
  "CAP_476de667": {
   "en": "PROFINET System Redundancy",
   "zh": "PROFINET系统冗余",
   "level": "l3"
  },
  "CAP_5e1b1a2f": {
   "en": "Controller State Synchronization",
   "zh": "控制器状态同步",
   "level": "l3"
  },
  "CAP_46db4581": {
   "en": "Redundancy Recovery",
   "zh": "冗余恢复",
   "level": "l3"
  },
  "CAP_7fa5d837": {
   "en": "A/B Rootfs Redundant Switchover",
   "zh": "A/B根文件系统冗余切换",
   "level": "l2"
  },
  "CAP_54b5c3a1": {
   "en": "A/B Bootloader Slot Configuration",
   "zh": "A/B引导加载器槽位配置",
   "level": "l3"
  },
  "CAP_2db2aca6": {
   "en": "Seamless Network Redundancy",
   "zh": "无缝网络冗余",
   "level": "l2"
  },
  "CAP_3c584135": {
   "en": "HSR/PRP Interface Configuration",
   "zh": "HSR/PRP接口配置",
   "level": "l3"
  },
  "CAP_ced5fca7": {
   "en": "Frame Duplication & Redundant Transmission",
   "zh": "帧复制与冗余传输",
   "level": "l3"
  },
  "CAP_0af7d7a6": {
   "en": "Duplicate Frame Detection & Discard",
   "zh": "重复帧检测与丢弃",
   "level": "l3"
  },
  "CAP_1c681a76": {
   "en": "Redundancy Supervision & Monitoring",
   "zh": "冗余监督与监控",
   "level": "l3"
  },
  "CAP_d7ebb824": {
   "en": "Zero-Recovery Seamless Failover",
   "zh": "零恢复无缝故障切换",
   "level": "l3"
  },
  "CAP_078ba5dd": {
   "en": "DDS Discovery Server Redundancy",
   "zh": "DDS发现服务器冗余",
   "level": "l2"
  },
  "CAP_1c2b06fb": {
   "en": "Discovery Server Mesh Formation",
   "zh": "发现服务器mesh组网",
   "level": "l3"
  },
  "CAP_d3f42ba8": {
   "en": "Explicit Mark-Bad Rollback Trigger",
   "zh": "显式标记失败回滚触发",
   "level": "l3"
  },
  "CAP_7e3c11ef": {
   "en": "SMU Alarm Handling and Failure Response",
   "zh": "SMU 警报处理与失效响应",
   "level": "l3"
  },
  "CAP_7d0b6b3e": {
   "en": "Online Repair and Hot Swap",
   "zh": "在线维修与热插拔",
   "level": "l3"
  },
  "CAP_0c49ef12": {
   "en": "Dual-Path Safety Signal and Contactor Control",
   "zh": "双路径安全信号与接触器控制",
   "level": "l3"
  },
  "CAP_14e7846f": {
   "en": "Cross-Fault Detection and Forced-Guided Contact Diagnostics",
   "zh": "交叉故障检测与强制导向触点诊断",
   "level": "l3"
  },
  "CAP_d9563499": {
   "en": "Multimodal Redundancy Representation Learning",
   "zh": "多模态冗余表征学习",
   "level": "l2"
  },
  "CAP_6e6a7d5a": {
   "en": "Shapley-based Modality Contribution Estimation",
   "zh": "基于 Shapley 的模态贡献度估计",
   "level": "l3"
  },
  "CAP_42e20ba3": {
   "en": "Modality Dropout and Knockout Strategy",
   "zh": "模态丢弃与剔除策略",
   "level": "l3"
  },
  "CAP_7d935f21": {
   "en": "Multimodal Representation Collapse Mitigation",
   "zh": "多模态表征坍塌缓解",
   "level": "l3"
  },
  "CAP_5cd3ad9c": {
   "en": "Proprioception-Conditioned Modality Gating",
   "zh": "本体感觉条件模态门控",
   "level": "l3"
  },
  "CAP_adfcf16f": {
   "en": "Contact-Aware Adaptive Gating",
   "zh": "接触感知自适应门控",
   "level": "l3"
  },
  "CAP_117a0739": {
   "en": "Reflexive Tactile Closed-Loop Correction",
   "zh": "反射触觉闭环修正",
   "level": "l3"
  },
  "CAP_dba386c0": {
   "en": "FiLM-Based Tactile Conditioning",
   "zh": "FiLM 触觉条件化",
   "level": "l3"
  },
  "CAP_64688a31": {
   "en": "Contact-Centric MPC Control",
   "zh": "接触中心 MPC 控制",
   "level": "l3"
  },
  "CAP_78333337": {
   "en": "Tactile Reconstruction Auxiliary Objective",
   "zh": "触觉重建辅助目标",
   "level": "l3"
  },
  "CAP_85f6fbac": {
   "en": "Self-Supervised Audio-Visual Pretraining",
   "zh": "自监督音视预训练",
   "level": "l3"
  },
  "CAP_f18a9526": {
   "en": "Uncertainty-Aware Bayesian Modality Gating",
   "zh": "不确定性感知贝叶斯模态门控",
   "level": "l3"
  },
  "CAP_21263a40": {
   "en": "Dual Encoder-Decoder Visual Fusion",
   "zh": "双编码器-解码器视觉融合",
   "level": "l3"
  },
  "CAP_9b4fad17": {
   "en": "Distribution Uncertainty-Aware Hierarchical Voting",
   "zh": "分布不确定性感知分层投票",
   "level": "l3"
  },
  "CAP_ee093e7d": {
   "en": "Multi-Sensor Time-Aligned Acquisition",
   "zh": "多传感器时间对齐采集",
   "level": "l3"
  },
  "CAP_41667688": {
   "en": "Adversarial Probe Generation",
   "zh": "对抗探针生成",
   "level": "l3"
  },
  "CAP_cd89d10f": {
   "en": "Harm Classifier Binary Judgment",
   "zh": "危害分类器二值判定",
   "level": "l3"
  },
  "CAP_902c7efc": {
   "en": "Target Model Inference",
   "zh": "目标模型推理",
   "level": "l3"
  },
  "CAP_21a48f89": {
   "en": "Harmful Behavior Dataset Loading",
   "zh": "危害行为种子库加载",
   "level": "l3"
  },
  "CAP_abe7a799": {
   "en": "LLM Vulnerability Scan Orchestration",
   "zh": "LLM漏洞扫描编排",
   "level": "l3"
  },
  "CAP_dee0c021": {
   "en": "AutoAttack Standardized Evaluation",
   "zh": "AutoAttack标准化评测",
   "level": "l3"
  },
  "CAP_da1d856a": {
   "en": "RobustBench Leaderboard Comparison",
   "zh": "RobustBench排行榜对比",
   "level": "l3"
  },
  "CAP_434a43e5": {
   "en": "Gradient Masking Detection",
   "zh": "梯度遮蔽检测",
   "level": "l3"
  },
  "CAP_008b6f4c": {
   "en": "Robot Security Assessment",
   "zh": "机器人安全评估",
   "level": "l2"
  },
  "CAP_5e4cc3b5": {
   "en": "Attack Surface Mapping for Robots",
   "zh": "机器人攻击面映射",
   "level": "l3"
  },
  "CAP_7b295d08": {
   "en": "Adversarial Policy Training for RL",
   "zh": "RL对抗策略训练",
   "level": "l3"
  },
  "CAP_1286c2bb": {
   "en": "LiDAR Spoofing Attack",
   "zh": "激光雷达欺骗攻击",
   "level": "l3"
  },
  "CAP_7d3db194": {
   "en": "Safety-Critical Scenario Evaluation for AD",
   "zh": "自动驾驶安全关键场景评测",
   "level": "l3"
  },
  "CAP_ad0b1995": {
   "en": "Adversarial RL Robustness Benchmarking",
   "zh": "对抗RL鲁棒性基准评测",
   "level": "l3"
  },
  "CAP_278a835f": {
   "en": "Robot Vulnerability Scoring",
   "zh": "机器人漏洞评分",
   "level": "l3"
  },
  "CAP_67b0cdda": {
   "en": "ML Lifecycle Poisoning/Extraction/Inference Red-Teaming",
   "zh": "ML生命周期投毒/提取/推理红队",
   "level": "l2"
  },
  "CAP_ecb57ab6": {
   "en": "Threat Scenario Mapping (ATLAS)",
   "zh": "威胁场景映射(ATLAS)",
   "level": "l3"
  },
  "CAP_61da7fc5": {
   "en": "Backdoor Trigger Design and Poison Injection",
   "zh": "后门触发器设计与投毒注入",
   "level": "l3"
  },
  "CAP_f91c7aa7": {
   "en": "Backdoor Model Training",
   "zh": "后门模型训练",
   "level": "l3"
  },
  "CAP_13ae5508": {
   "en": "Backdoor Attack Success Rate Evaluation",
   "zh": "后门攻击成功率评估",
   "level": "l3"
  },
  "CAP_6fbcf099": {
   "en": "Backdoor Defense and Recovery",
   "zh": "后门防御与恢复",
   "level": "l3"
  },
  "CAP_4da37b4f": {
   "en": "Model Extraction Attack",
   "zh": "模型提取攻击",
   "level": "l3"
  },
  "CAP_977889cb": {
   "en": "Membership Inference Attack",
   "zh": "成员推理攻击",
   "level": "l3"
  },
  "CAP_100b7010": {
   "en": "Multi-task RL Reference Baseline Execution",
   "zh": "多任务 RL 参考基线运行",
   "level": "l2"
  },
  "CAP_432a0d5c": {
   "en": "MTSAC Training",
   "zh": "MTSAC 多任务训练",
   "level": "l3"
  },
  "CAP_115c5755": {
   "en": "MTPPO Training",
   "zh": "MTPPO 多任务训练",
   "level": "l3"
  },
  "CAP_bf0fc018": {
   "en": "Baseline Checkpoint Evaluation",
   "zh": "基线检查点评测",
   "level": "l3"
  },
  "CAP_fc678b08": {
   "en": "VLA-IL Reference Policy Execution",
   "zh": "VLA-IL 参考策略运行",
   "level": "l2"
  },
  "CAP_44e4b951": {
   "en": "VLA-IL Baseline Comparison",
   "zh": "VLA-IL 基线对比",
   "level": "l3"
  },
  "CAP_44acf456": {
   "en": "VLA-IL Benchmark Dataset Setup",
   "zh": "VLA-IL 基准数据集搭建",
   "level": "l3"
  },
  "CAP_3cb1fd6b": {
   "en": "VLA-IL Baseline Evaluation",
   "zh": "VLA-IL 基线评测",
   "level": "l3"
  },
  "CAP_318b302e": {
   "en": "Classic Continuous-Control RL Reference Baseline Execution",
   "zh": "经典连续控制 RL 参考基线运行",
   "level": "l2"
  },
  "CAP_a8239afe": {
   "en": "TD3 Baseline",
   "zh": "TD3 基线",
   "level": "l3"
  },
  "CAP_54670345": {
   "en": "DDPG Baseline",
   "zh": "DDPG 基线",
   "level": "l3"
  },
  "CAP_8b5814e1": {
   "en": "Safe RL Reference Baseline Execution",
   "zh": "安全 RL 参考基线运行",
   "level": "l2"
  },
  "CAP_a07057d8": {
   "en": "Lagrangian Constraint Handling",
   "zh": "拉格朗日约束处理",
   "level": "l3"
  },
  "CAP_efc0f374": {
   "en": "Policy Type Check",
   "zh": "策略类型判定",
   "level": "l3"
  },
  "CAP_a39adfcb": {
   "en": "VLA-MAML-Meta-Learning",
   "zh": "VLA-MAML元学习",
   "level": "l3"
  },
  "CAP_ccd0fbe8": {
   "en": "MetaWorldEnvironmentSetup",
   "zh": "Meta-World环境搭建",
   "level": "l3"
  },
  "CAP_9a0cb854": {
   "en": "MultiTaskPolicyOptimization",
   "zh": "多任务策略优化",
   "level": "l3"
  },
  "CAP_bd452947": {
   "en": "RefCOCO Data Loading and Split",
   "zh": "RefCOCO 数据加载与划分",
   "level": "l3"
  },
  "CAP_9356e392": {
   "en": "Edge-Box Proposal Generation",
   "zh": "Edge-Box候选框生成",
   "level": "l3"
  },
  "CAP_318a66d4": {
   "en": "Weakly-Supervised Spatial Attention Aggregation",
   "zh": "弱监督空间注意力聚合",
   "level": "l3"
  },
  "CAP_7adda548": {
   "en": "Sentence Parsing Module Decomposition",
   "zh": "语句解析模块分解",
   "level": "l3"
  },
  "CAP_b39b148a": {
   "en": "Feature Aggregation with Ordered Attributes",
   "zh": "有序属性特征聚合",
   "level": "l3"
  },
  "CAP_4ba61a9f": {
   "en": "ReSC Iterative Context Reasoning",
   "zh": "ReSC迭代上下文推理",
   "level": "l3"
  },
  "CAP_cb323fba": {
   "en": "Bottom-Up Top-Down Attention",
   "zh": "自底向上自顶向下注意力",
   "level": "l3"
  },
  "CAP_140330a3": {
   "en": "LSTM Language Encoding",
   "zh": "LSTM语言编码",
   "level": "l3"
  },
  "CAP_3c394b29": {
   "en": "Point Supervision Weakly-Supervised Learning",
   "zh": "点监督弱监督学习",
   "level": "l3"
  },
  "CAP_22db4011": {
   "en": "Accurate Center Regression",
   "zh": "精确中心点回归",
   "level": "l3"
  },
  "CAP_69521025": {
   "en": "VGGCL Vision-Grounding Language Encoding",
   "zh": "VGGCL视觉接地语言编码",
   "level": "l3"
  },
  "CAP_f7ffdcc1": {
   "en": "Stacked Cross-Modal Graph Attention",
   "zh": "堆叠跨模态图注意力",
   "level": "l3"
  },
  "CAP_057f807c": {
   "en": "Anchor-Free Corner Key-Point Detection",
   "zh": "Anchor-free角点关键点检测",
   "level": "l3"
  },
  "CAP_f4aa98aa": {
   "en": "Bounding Box from Point Estimation",
   "zh": "从中心点估计边界框",
   "level": "l3"
  },
  "CAP_2d97b408": {
   "en": "[REG] Token Direct BBox Regression",
   "zh": "[REG] Token直接边界框回归",
   "level": "l3"
  },
  "CAP_edd4ad0b": {
   "en": "VL Transformer Encoder Self-Attention Fusion",
   "zh": "VL Transformer Encoder自注意力跨模态融合",
   "level": "l3"
  },
  "CAP_9141ca17": {
   "en": "Multi-Stage Cross-Modal Decoder Iterative Reasoning",
   "zh": "多级跨模态Decoder迭代推理",
   "level": "l3"
  },
  "CAP_9a6d90b2": {
   "en": "Visual-Linguistic Verification Discriminative Feature",
   "zh": "视觉-语言验证判别性特征建立",
   "level": "l3"
  },
  "CAP_3572001e": {
   "en": "One-Tower Shared Encoder Fusion",
   "zh": "单塔共享编码器融合",
   "level": "l3"
  },
  "CAP_516cd12d": {
   "en": "Bias-Aware Reasoning Enhancement",
   "zh": "偏见感知推理增强",
   "level": "l3"
  },
  "CAP_1ffd057d": {
   "en": "Language-Aware Deep Fusion",
   "zh": "语言感知深度融合",
   "level": "l3"
  },
  "CAP_0fc25707": {
   "en": "Three-Phase Cross-Modal Fusion",
   "zh": "三阶段跨模态融合",
   "level": "l3"
  },
  "CAP_6bfe695b": {
   "en": "Soft Token Prediction Alignment Loss",
   "zh": "Soft Token Prediction对齐损失",
   "level": "l3"
  },
  "CAP_f9ef0406": {
   "en": "Contrastive Alignment Loss",
   "zh": "对比对齐损失",
   "level": "l3"
  },
  "CAP_e8868067": {
   "en": "Box-Word Dot Product Alignment",
   "zh": "Box-Word点积对齐",
   "level": "l3"
  },
  "CAP_9cc978ba": {
   "en": "MLLM Decoding-by-Reasoning Grounding",
   "zh": "MLLM推理式生成定位",
   "level": "l3"
  },
  "CAP_f2384cff": {
   "en": "Unified Referring and Grounding Multitask",
   "zh": "统一指代与定位多任务",
   "level": "l3"
  },
  "CAP_e18c97b7": {
   "en": "Region-Aware Visual Feature Granularity",
   "zh": "Region-Aware视觉特征粒度",
   "level": "l3"
  },
  "CAP_2ab9562b": {
   "en": "MLLM Grounding In-Context Reasoning",
   "zh": "MLLM定位上下文推理",
   "level": "l3"
  },
  "CAP_366de44e": {
   "en": "Referring Expression Grounding to 2D Box",
   "zh": "指代表达定位到2D框",
   "level": "l2"
  },
  "CAP_c5db3d52": {
   "en": "Single Target BBox Regression",
   "zh": "单目标边界框回归与输出",
   "level": "l2"
  },
  "CAP_0cefc491": {
   "en": "Top-1 Argmax Proposal Selection",
   "zh": "Top-1候选框argmax选择",
   "level": "l3"
  },
  "CAP_30e3a8ab": {
   "en": "Transformer Word-Level Text Encoding",
   "zh": "Transformer词级文本编码",
   "level": "l3"
  },
  "CAP_0c5940fd": {
   "en": "Reflectance Material Recognition",
   "zh": "反射率材质识别",
   "level": "l2"
  },
  "CAP_d004a0e7": {
   "en": "Polarization Capture",
   "zh": "偏振图像采集",
   "level": "l3"
  },
  "CAP_de10d6cc": {
   "en": "Stokes Analysis",
   "zh": "Stokes参量计算",
   "level": "l3"
  },
  "CAP_13a3ac09": {
   "en": "DoP AoP Derive",
   "zh": "偏振度/偏振角派生",
   "level": "l3"
  },
  "CAP_2d81afc3": {
   "en": "Fresnel Ratio Estimation",
   "zh": "Fresnel反射率比估计",
   "level": "l3"
  },
  "CAP_03b28723": {
   "en": "Polarization Material Classify",
   "zh": "偏振材质分类",
   "level": "l3"
  },
  "CAP_138a18d1": {
   "en": "Photometric Stereo Capture",
   "zh": "光度立体采集",
   "level": "l3"
  },
  "CAP_f3ee2197": {
   "en": "Normal Albedo Estimate",
   "zh": "法线与反照率估计",
   "level": "l3"
  },
  "CAP_092eef7a": {
   "en": "PS Material Classify",
   "zh": "光度立体材质分类",
   "level": "l3"
  },
  "CAP_a868176d": {
   "en": "BRDF Acquisition",
   "zh": "BRDF数据采集",
   "level": "l3"
  },
  "CAP_c3dd279e": {
   "en": "BRDF Feature Extraction",
   "zh": "BRDF特征提取",
   "level": "l3"
  },
  "CAP_2b96d3c7": {
   "en": "BRDF Clustering Classify",
   "zh": "BRDF聚类/分类",
   "level": "l3"
  },
  "CAP_5f188420": {
   "en": "Hyperspectral Capture",
   "zh": "高光谱图像采集",
   "level": "l3"
  },
  "CAP_3e508380": {
   "en": "Spectral Signature Extract",
   "zh": "光谱特征提取",
   "level": "l3"
  },
  "CAP_aa9d29a4": {
   "en": "Spectral Material Classify",
   "zh": "高光谱材质分类",
   "level": "l3"
  },
  "CAP_e3e6c767": {
   "en": "Intensity Feature Extraction",
   "zh": "强度特征提取",
   "level": "l3"
  },
  "CAP_b75b5220": {
   "en": "Material Label Emit",
   "zh": "材质标签输出",
   "level": "l3"
  },
  "CAP_5db6cb52": {
   "en": "Multi-Return Geometric Glass Mapping",
   "zh": "多回波几何玻璃建图",
   "level": "l2"
  },
  "CAP_767937ea": {
   "en": "Multi-Return Point Cloud Feature Encoding",
   "zh": "多回波点云特征编码",
   "level": "l3"
  },
  "CAP_99b97b53": {
   "en": "Reflective Plane RANSAC Fitting",
   "zh": "反光平面RANSAC拟合",
   "level": "l3"
  },
  "CAP_de663ef4": {
   "en": "Reflection Point Mirroring Recovery",
   "zh": "反射点镜像恢复",
   "level": "l3"
  },
  "CAP_688d72ad": {
   "en": "Reflection-Aware Occupancy Grid Update",
   "zh": "反光感知占据栅格更新",
   "level": "l3"
  },
  "CAP_cb3813ca": {
   "en": "Reflection Mask Filtering",
   "zh": "反射掩膜滤除",
   "level": "l3"
  },
  "CAP_6b3ffac7": {
   "en": "Reflection Segmentation Benchmark Evaluation",
   "zh": "反射分割基准评估",
   "level": "l3"
  },
  "CAP_5e175362": {
   "en": "Stokes Vector & DoLP/AoLP Computation",
   "zh": "Stokes向量与偏振度/偏振角计算",
   "level": "l3"
  },
  "CAP_f4c2e50b": {
   "en": "Polarization-Based Glass Detection",
   "zh": "基于偏振的玻璃检测",
   "level": "l3"
  },
  "CAP_89e93b91": {
   "en": "Traditional Depth Inpainting",
   "zh": "传统深度修复",
   "level": "l3"
  },
  "CAP_7911c420": {
   "en": "RGB Mirror/Glass Candidate Proposal",
   "zh": "RGB镜面/玻璃候选提议",
   "level": "l3"
  },
  "CAP_060c692a": {
   "en": "Mirror Segmentation Post-Processing",
   "zh": "镜面分割后处理",
   "level": "l3"
  },
  "CAP_004d3f1c": {
   "en": "Monosynaptic Ia-Afferent Sensing",
   "zh": "单突触 Ia 传入信号感知",
   "level": "l3"
  },
  "CAP_31d16de6": {
   "en": "Stretch & Tendon Reflex Triggering",
   "zh": "牵张与腱反射触发",
   "level": "l3"
  },
  "CAP_129eafd9": {
   "en": "Tegotae-Based Reflex Coordination",
   "zh": "Tegotae 反射协调",
   "level": "l3"
  },
  "CAP_9780e01f": {
   "en": "Pneumatic Muscle Reflex Actuation",
   "zh": "气动肌肉反射驱动",
   "level": "l3"
  },
  "CAP_b4148454": {
   "en": "Anticipatory Ankle Strategy Reflex",
   "zh": "踝策略反射",
   "level": "l3"
  },
  "CAP_c6c240e6": {
   "en": "Hip Strategy Reflex",
   "zh": "髋策略反射",
   "level": "l3"
  },
  "CAP_3c0a0097": {
   "en": "Stepping Strategy Reflex",
   "zh": "跨步策略反射",
   "level": "l3"
  },
  "CAP_f47770e3": {
   "en": "Stabilized Gait Reentry",
   "zh": "稳定步态重入",
   "level": "l3"
  },
  "CAP_796eb4a7": {
   "en": "Low-Level Sonar Scanning",
   "zh": "低层声纳扫描",
   "level": "l3"
  },
  "CAP_6a9e1f0a": {
   "en": "AFSM Behavior Layer Composition",
   "zh": "AFSM 行为层叠加",
   "level": "l3"
  },
  "CAP_091a2c1a": {
   "en": "Coordinate Descent Area Balance Iteration",
   "zh": "坐标下降面积均衡迭代",
   "level": "l3"
  },
  "CAP_46ba80be": {
   "en": "Sub-region Assignment and Boundary Extraction",
   "zh": "子区域分配与边界提取",
   "level": "l3"
  },
  "CAP_7dede21e": {
   "en": "Circumnavigation Path Generation",
   "zh": "子树环绕路径生成",
   "level": "l3"
  },
  "CAP_a1f3e2b7": {
   "en": "Geodesic Distance Non-Convex Coverage Partitioning",
   "zh": "测地距离非凸覆盖分区",
   "level": "l3"
  },
  "CAP_f1a2c9d5": {
   "en": "Connectivity-Aware Partition Refinement",
   "zh": "连通性感知分区修正",
   "level": "l3"
  },
  "CAP_b7c4f8d2": {
   "en": "Persistent Coverage Decay Model",
   "zh": "持续覆盖衰减模型",
   "level": "l3"
  },
  "CAP_c9d5a1e3": {
   "en": "Graph-Based Coverage Path Online Planning",
   "zh": "图基覆盖路径在线规划",
   "level": "l3"
  },
  "CAP_65c4a6aa": {
   "en": "Decentralized Collaborative UAV Exploration",
   "zh": "去中心化协同无人机探索",
   "level": "l2"
  },
  "CAP_25d2bdab": {
   "en": "Hgrid Space Decomposition",
   "zh": "分层栅格空间分解",
   "level": "l3"
  },
  "CAP_06093bc8": {
   "en": "Multi-UAV Trajectory Execution",
   "zh": "多机轨迹执行",
   "level": "l3"
  },
  "CAP_e8f1a2b3": {
   "en": "Dynamic Voronoi Exploration Partition",
   "zh": "动态Voronoi探索分区",
   "level": "l3"
  },
  "CAP_f9b2c3d4": {
   "en": "Unknown Region Centroid Detection and Evaluation",
   "zh": "未知区域质心检测与评估",
   "level": "l3"
  },
  "CAP_a1b3c5d7": {
   "en": "Graph Voronoi Partition Exploration Allocation",
   "zh": "图Voronoi分区探索分配",
   "level": "l3"
  },
  "CAP_b2c4d6e8": {
   "en": "RRT-Based Frontier Detection and Assignment",
   "zh": "RRT前沿检测与分配",
   "level": "l3"
  },
  "CAP_eb706634": {
   "en": "Cell Adjacency Graph Construction",
   "zh": "Cell邻接图构建",
   "level": "l3"
  },
  "CAP_5c8f2d3a": {
   "en": "Modified Visibility Graph Disjoint Segment Connection",
   "zh": "修改可见性图不相交段连接",
   "level": "l3"
  },
  "CAP_7c9f2d3e": {
   "en": "Maximum k-Cut Graph Partitioning",
   "zh": "最大k割图划分",
   "level": "l3"
  },
  "CAP_8d1a3e5f": {
   "en": "Markov Chain Patrol Strategy Design",
   "zh": "马尔可夫链巡逻策略设计",
   "level": "l3"
  },
  "CAP_9e2b4f6a": {
   "en": "Mean First Hitting Time Optimization",
   "zh": "平均首次到达时间优化",
   "level": "l3"
  },
  "CAP_a3c5d7e8": {
   "en": "Balanced Graph Partitioning Territory Allocation",
   "zh": "均衡图分割领地分配",
   "level": "l3"
  },
  "CAP_b4d6e8f9": {
   "en": "Idleness-Driven Distributed Target Selection",
   "zh": "空闲度驱动分布式目标选择",
   "level": "l3"
  },
  "CAP_c5e7f9a0": {
   "en": "Refresh Time Optimal Trajectory Design",
   "zh": "刷新时间最优轨迹设计",
   "level": "l3"
  },
  "CAP_d6f8a0b1": {
   "en": "Emergent Area Partitioning Patrol",
   "zh": "涌现式区域划分巡逻",
   "level": "l3"
  },
  "CAP_4c9779c5": {
   "en": "REC Evaluation P@0.5",
   "zh": "REC评测P@0.5",
   "level": "l3"
  },
  "CAP_9861ca3a": {
   "en": "Referring Expression Segmentation to Mask",
   "zh": "指代表达分割到掩码",
   "level": "l2"
  },
  "CAP_f48b54f3": {
   "en": "Language-Aware Visual Encoding",
   "zh": "语言感知视觉编码",
   "level": "l3"
  },
  "CAP_876ce2e0": {
   "en": "Region-Language Association Modeling",
   "zh": "区域语言关联建模",
   "level": "l3"
  },
  "CAP_08d78f1a": {
   "en": "CLIP-SAM Prompt Bridging",
   "zh": "CLIP-SAM提示桥接",
   "level": "l3"
  },
  "CAP_9ba32f7f": {
   "en": "Text-to-Pixel Contrastive Alignment",
   "zh": "文本像素对比对齐",
   "level": "l3"
  },
  "CAP_4d40ecb8": {
   "en": "RES Evaluation oIoU/mIoU/P@X",
   "zh": "RES评测oIoU/mIoU/P@X",
   "level": "l3"
  },
  "CAP_e7e9d9d2": {
   "en": "Cross Modal Grounded Pretraining",
   "zh": "跨模态接地预训练",
   "level": "l2"
  },
  "CAP_8cf95d84": {
   "en": "Region Prompting",
   "zh": "区域提示",
   "level": "l3"
  },
  "CAP_c384dfe1": {
   "en": "Region-Text Pseudo Label Generation",
   "zh": "区域文本伪标签生成",
   "level": "l3"
  },
  "CAP_f1b27c32": {
   "en": "Region Visual Feature CLIP Alignment Distillation",
   "zh": "区域视觉特征CLIP对齐蒸馏",
   "level": "l3"
  },
  "CAP_bfb46506": {
   "en": "Anchor Pre-Matching Localization",
   "zh": "锚点预匹配定位",
   "level": "l3"
  },
  "CAP_032e5e4c": {
   "en": "Region-Text Contrastive Learning",
   "zh": "区域文本对比学习",
   "level": "l3"
  },
  "CAP_6e379854": {
   "en": "Task-Prompt Driven Multimodal Generation",
   "zh": "任务提示驱动多模态生成",
   "level": "l3"
  },
  "CAP_c117d750": {
   "en": "Grounding Chain-of-Thought",
   "zh": "接地思维链",
   "level": "l3"
  },
  "CAP_cc90d6a4": {
   "en": "Grounding Evaluation Acc@0.5/R@K/cIoU",
   "zh": "接地评测Acc@0.5/R@K/cIoU",
   "level": "l3"
  },
  "CAP_69cdc420": {
   "en": "Generative VLM-as-Detector",
   "zh": "生成式VLM即检测器",
   "level": "l3"
  },
  "CAP_bdc4b753": {
   "en": "Graph-Based Pick-and-Place Regrasp Planning",
   "zh": "图搜索式放置重抓规划",
   "level": "l2"
  },
  "CAP_ba8a20ba": {
   "en": "Regrasp Sequence Search",
   "zh": "重抓序列图搜索",
   "level": "l3"
  },
  "CAP_ab6aebf9": {
   "en": "Grasp Stability Maintenance During Finger Gaiting",
   "zh": "手指步态中抓取稳定性维持",
   "level": "l3"
  },
  "CAP_7b0fc0bb": {
   "en": "Admittance Control Pose Calibration",
   "zh": "导纳控制位姿校准",
   "level": "l3"
  },
  "CAP_2def4502": {
   "en": "Handoff Gravity Stability Reasoning",
   "zh": "交接重力稳定性推理",
   "level": "l3"
  },
  "CAP_c779a2a2": {
   "en": "Grasp Manifold Stable Intersection Sampling",
   "zh": "抓取流形稳定交集采样",
   "level": "l3"
  },
  "CAP_1b32fd94": {
   "en": "Bimanual Handoff Regrasp Graph Dijkstra Planner",
   "zh": "双臂交接重抓图Dijkstra规划器",
   "level": "l2"
  },
  "CAP_0082a7ff": {
   "en": "Differentiable Pose Connectivity Metric",
   "zh": "可微位姿连通性度量",
   "level": "l2"
  },
  "CAP_9445a0d6": {
   "en": "Langevin Dynamics Intermediate Pose Optimization",
   "zh": "朗之万动力学中间位姿优化",
   "level": "l3"
  },
  "CAP_8beb3500": {
   "en": "Adaptive Iterative Deepening Min-Step Search",
   "zh": "自适应迭代加深最小步数搜索",
   "level": "l3"
  },
  "CAP_a9a22003": {
   "en": "Cross End-Effector Transfer",
   "zh": "跨末端执行器迁移",
   "level": "l3"
  },
  "CAP_5ac0aa84": {
   "en": "Placement Refinement and Discrimination",
   "zh": "放置精化与判别",
   "level": "l3"
  },
  "CAP_c8e501d9": {
   "en": "GeometryModelLoading",
   "zh": "几何模型加载",
   "level": "l3"
  },
  "CAP_647ceccf": {
   "en": "sEMG RMS Feature Extraction",
   "zh": "表面肌电RMS特征提取",
   "level": "l3"
  },
  "CAP_b303f171": {
   "en": "HRI Torque Sensing & Gravity Compensation",
   "zh": "人机交互力矩传感与重力补偿",
   "level": "l3"
  },
  "CAP_6a760666": {
   "en": "Joint Kinematics Acquisition & Sensor Fusion",
   "zh": "关节运动学采集与传感器融合",
   "level": "l3"
  },
  "CAP_804933d9": {
   "en": "Fuzzy Rule-Based Mode Switching Decision",
   "zh": "模糊规则模式切换决策",
   "level": "l2"
  },
  "CAP_5439c72f": {
   "en": "Fuzzy Inference Mode Selector",
   "zh": "模糊推理模式选择器",
   "level": "l3"
  },
  "CAP_643b89aa": {
   "en": "Graded Mode Switching Safety Guard",
   "zh": "分级切换安全防护",
   "level": "l3"
  },
  "CAP_fb5f4684": {
   "en": "Multi-Mode Control Law Scheduler",
   "zh": "多模式控制律调度器",
   "level": "l2"
  },
  "CAP_dc02d737": {
   "en": "Passive Mode Sliding Mode Position Control",
   "zh": "被动模式滑模位置控制",
   "level": "l3"
  },
  "CAP_12d6949b": {
   "en": "Assist Mode Inverse Dynamics Assistance",
   "zh": "助力模式逆动力学辅助",
   "level": "l3"
  },
  "CAP_daab3889": {
   "en": "Active Mode Admittance Following Control",
   "zh": "主动模式导纳跟随控制",
   "level": "l3"
  },
  "CAP_29a5b8c5": {
   "en": "Resistive Mode Virtual Impedance Rendering",
   "zh": "抗阻模式虚拟阻抗渲染",
   "level": "l3"
  },
  "CAP_a8388ea8": {
   "en": "Stretch Mode Low-Speed Constant Torque",
   "zh": "牵伸模式低速恒力矩控制",
   "level": "l3"
  },
  "CAP_3f2f8214": {
   "en": "Safety Monitoring & Training Assessment",
   "zh": "安全监控与训练评估",
   "level": "l2"
  },
  "CAP_8f36453d": {
   "en": "Spasm Detection & Emergency Protection",
   "zh": "痉挛检测与紧急保护",
   "level": "l3"
  },
  "CAP_3d23ec07": {
   "en": "Training Assessment & Report Generation",
   "zh": "训练评估与报告生成",
   "level": "l3"
  },
  "CAP_8561a423": {
   "en": "Training Task Library & Selection",
   "zh": "训练任务库与选择",
   "level": "l3"
  },
  "CAP_ef59a504": {
   "en": "Impedance Parameter Preset Lookup",
   "zh": "阻抗参数预设查询",
   "level": "l3"
  },
  "CAP_8cc6b685": {
   "en": "Phase-Driven Impedance Scheduling",
   "zh": "相位驱动阻抗调度",
   "level": "l3"
  },
  "CAP_ab74a03d": {
   "en": "Admittance Control (Position-Based)",
   "zh": "导纳控制（位置型）",
   "level": "l3"
  },
  "CAP_1b6f68ce": {
   "en": "Position Correction Dispatch",
   "zh": "位置修正下发",
   "level": "l3"
  },
  "CAP_966ac702": {
   "en": "Trajectory Error Feedback",
   "zh": "轨迹误差反馈",
   "level": "l2"
  },
  "CAP_5de184da": {
   "en": "Trajectory Tracking Error Calculation",
   "zh": "轨迹跟踪误差计算",
   "level": "l3"
  },
  "CAP_7653f98b": {
   "en": "Impedance Closed-Loop Feedback",
   "zh": "阻抗闭环反馈",
   "level": "l3"
  },
  "CAP_46799af5": {
   "en": "Supervised ReID Model Training",
   "zh": "监督式重识别模型训练",
   "level": "l3"
  },
  "CAP_2298a67f": {
   "en": "IoU Second-stage Association",
   "zh": "IoU二阶段关联",
   "level": "l3"
  },
  "CAP_bf4e15d8": {
   "en": "Cross-Camera ReID Feature Matching",
   "zh": "跨摄像头重识别特征匹配",
   "level": "l3"
  },
  "CAP_2047d2a0": {
   "en": "TransReID Model Training",
   "zh": "TransReID模型训练",
   "level": "l2"
  },
  "CAP_3d076683": {
   "en": "Jigsaw Patch Module (JPM)",
   "zh": "Jigsaw Patch模块",
   "level": "l3"
  },
  "CAP_ca2d6721": {
   "en": "Side Information Embeddings (SIE)",
   "zh": "侧信息嵌入模块",
   "level": "l3"
  },
  "CAP_4928d530": {
   "en": "Transformer ReID Embedding Extraction",
   "zh": "Transformer ReID嵌入提取",
   "level": "l3"
  },
  "CAP_e0cee0e9": {
   "en": "UDA ReID Domain Adaptation Pipeline",
   "zh": "UDA ReID域自适应流水线",
   "level": "l2"
  },
  "CAP_66c95eb2": {
   "en": "Self-Paced Contrastive Learning (SpCL)",
   "zh": "自步对比学习聚类",
   "level": "l3"
  },
  "CAP_eafee42a": {
   "en": "Mutual Mean-Teaching (MMT)",
   "zh": "互均值教学",
   "level": "l3"
  },
  "CAP_7c3ad363": {
   "en": "GAN-based Style Transfer for ReID",
   "zh": "基于GAN的ReID风格迁移",
   "level": "l3"
  },
  "CAP_6b155607": {
   "en": "Range-Based Relative Pose Estimation",
   "zh": "基于测距的相对位姿估计",
   "level": "l3"
  },
  "CAP_af27eb05": {
   "en": "Relative Bearing Acquisition",
   "zh": "相对方位获取",
   "level": "l3"
  },
  "CAP_ecad141a": {
   "en": "EKF-Based Cooperative Localization with Relative Bearing",
   "zh": "基于EKF的相对方位协同定位",
   "level": "l3"
  },
  "CAP_e7245d45": {
   "en": "Multi-Modal Relative Observation Acquisition",
   "zh": "多模态相对观测获取",
   "level": "l3"
  },
  "CAP_1c874f0f": {
   "en": "IR-UWB Data Association via Optical Communication",
   "zh": "红外光通信数据关联",
   "level": "l3"
  },
  "CAP_8cee78b3": {
   "en": "Single-Frame 6-DoF Relative Pose Estimation",
   "zh": "单帧6-DoF相对位姿估计",
   "level": "l3"
  },
  "CAP_315316fe": {
   "en": "3D Fiducial Marker Relative Localization",
   "zh": "3D立体标记相对定位",
   "level": "l3"
  },
  "CAP_e2ab12d3": {
   "en": "Acoustic Inter-Robot Ranging and Direction Finding",
   "zh": "声学机间测距测向",
   "level": "l3"
  },
  "CAP_a5b0891e": {
   "en": "Clock Asynchrony Correction for Acoustic Ranging",
   "zh": "声学测距时钟异步校正",
   "level": "l3"
  },
  "CAP_42f33c5c": {
   "en": "Alternating Leader Navigation for Underdetermined Acoustic Localization",
   "zh": "欠定声学定位交替领航",
   "level": "l3"
  },
  "CAP_d2fb1436": {
   "en": "LSTM Predicted Observation for Communication Interruption",
   "zh": "通信中断LSTM预测观测",
   "level": "l3"
  },
  "CAP_4235feb6": {
   "en": "Range-Only Relative Pose Optimization",
   "zh": "纯测距相对位姿优化",
   "level": "l3"
  },
  "CAP_e905f4e2": {
   "en": "UWB Clock Synchronization and Bias Estimation",
   "zh": "UWB时钟同步与偏移估计",
   "level": "l3"
  },
  "CAP_904fd752": {
   "en": "Marker ID-Based Multi-Robot Data Association",
   "zh": "标记ID多机器人数据关联",
   "level": "l3"
  },
  "CAP_d9a10613": {
   "en": "Fiducial Marker Odometry EKF Fusion",
   "zh": "标记里程计EKF融合",
   "level": "l3"
  },
  "CAP_08b99d16": {
   "en": "LiDAR Scan-to-Scan Relative Pose Estimation",
   "zh": "LiDAR扫描相对位姿估计",
   "level": "l2"
  },
  "CAP_c1090944": {
   "en": "Active IR LED Detection and Identification",
   "zh": "主动IR LED检测识别",
   "level": "l3"
  },
  "CAP_80c87dab": {
   "en": "UWB-IR Data Association via Optical Communication",
   "zh": "UWB-IR光通信数据关联",
   "level": "l3"
  },
  "CAP_a9b097d7": {
   "en": "Single-Frame 6-DoF Hybrid Solver",
   "zh": "单帧6-DoF混合求解器",
   "level": "l3"
  },
  "CAP_0bc87014": {
   "en": "CREPES ESKF Tracking and PGO",
   "zh": "CREPES ESKF跟踪与PGO",
   "level": "l3"
  },
  "CAP_70f3d6f4": {
   "en": "UWB Clock Synchronization",
   "zh": "UWB时钟同步",
   "level": "l3"
  },
  "CAP_6232d66b": {
   "en": "UWB Range Measurement",
   "zh": "UWB测距",
   "level": "l3"
  },
  "CAP_1a0a0102": {
   "en": "Landing Target Relative Pose Estimation",
   "zh": "着陆目标相对位姿解算",
   "level": "l3"
  },
  "CAP_16a0f185": {
   "en": "Conventional Commit Version Analysis",
   "zh": "约定式提交版本分析",
   "level": "l3"
  },
  "CAP_7e041f64": {
   "en": "Automated Changelog Generation",
   "zh": "自动化变更日志生成",
   "level": "l3"
  },
  "CAP_51688385": {
   "en": "CI-Triggered Package Publishing",
   "zh": "CI 触发式包发布",
   "level": "l2"
  },
  "CAP_905fd6ff": {
   "en": "Commit Message Convention Enforcement",
   "zh": "提交消息规范强制",
   "level": "l3"
  },
  "CAP_b5827645": {
   "en": "Monorepo Declarative Version Bumping",
   "zh": "Monorepo 声明式版本递增",
   "level": "l3"
  },
  "CAP_2177d44f": {
   "en": "ROS Package Changelog Generation",
   "zh": "ROS 包变更日志生成",
   "level": "l3"
  },
  "CAP_9342c7ed": {
   "en": "ROS Package Version Bumping and Tagging",
   "zh": "ROS 包版本递增与标签创建",
   "level": "l3"
  },
  "CAP_7bc35960": {
   "en": "ROS Distribution Index Management",
   "zh": "ROS 发行版索引管理",
   "level": "l3"
  },
  "CAP_939340c1": {
   "en": "ROS Build Farm Package Building",
   "zh": "ROS 构建农场包构建",
   "level": "l3"
  },
  "CAP_73d15967": {
   "en": "ROS2 Package Release to Apt Repository",
   "zh": "ROS2 包发布到 Apt 仓库",
   "level": "l2"
  },
  "CAP_110289a2": {
   "en": "Release Train Planning",
   "zh": "发布列车规划",
   "level": "l3"
  },
  "CAP_eeda518d": {
   "en": "Feature Freeze Enforcement",
   "zh": "特性冻结执行",
   "level": "l3"
  },
  "CAP_26e54afc": {
   "en": "Automated Quality Gate Validation",
   "zh": "自动化质量门禁验证",
   "level": "l3"
  },
  "CAP_6c88155d": {
   "en": "Go/No-Go Checklist Sign-off",
   "zh": "发布就绪清单签核",
   "level": "l3"
  },
  "CAP_08d1db5b": {
   "en": "Patch Release Management",
   "zh": "补丁发布管理",
   "level": "l3"
  },
  "CAP_63372b0b": {
   "en": "Rollback Decision and Version Selection",
   "zh": "回滚决策与版本选择",
   "level": "l3"
  },
  "CAP_c6ec29d9": {
   "en": "Git Source Code Rollback",
   "zh": "Git 源码层回退",
   "level": "l3"
  },
  "CAP_e3120307": {
   "en": "Helm Release Rollback",
   "zh": "Helm Release 回滚",
   "level": "l3"
  },
  "CAP_bfbc2f66": {
   "en": "Multi-Level Rollback Execution",
   "zh": "多层级回滚执行",
   "level": "l2"
  },
  "CAP_595332a1": {
   "en": "CI-Triggered Build",
   "zh": "CI触发构建",
   "level": "l3"
  },
  "CAP_e55bcdfd": {
   "en": "Release Condition Verification",
   "zh": "发布条件验证",
   "level": "l3"
  },
  "CAP_e520e700": {
   "en": "ReleaseNotification",
   "zh": "发布通知",
   "level": "l3"
  },
  "CAP_9dffb7be": {
   "en": "RTPS Reliable Retransmission Dissemination",
   "zh": "RTPS 可靠重传分发",
   "level": "l2"
  },
  "CAP_3f286e28": {
   "en": "RTPS Writer Cache Heartbeat Retransmission",
   "zh": "RTPS Writer 缓存心跳重传",
   "level": "l3"
  },
  "CAP_9cb57b97": {
   "en": "RTPS Reader AckNack Gap Detection",
   "zh": "RTPS Reader 确认与缺口检测",
   "level": "l3"
  },
  "CAP_75592909": {
   "en": "RTPS Reader Reorder Dedup",
   "zh": "RTPS Reader 顺序重组去重",
   "level": "l3"
  },
  "CAP_e61f84fc": {
   "en": "NORM NACK Reliable Multicast Dissemination",
   "zh": "NORM NACK 可靠多播分发",
   "level": "l2"
  },
  "CAP_4972e99c": {
   "en": "NORM Multicast Session Init",
   "zh": "NORM 多播会话初始化",
   "level": "l3"
  },
  "CAP_d44f2016": {
   "en": "NORM FEC Reed-Solomon Encoding",
   "zh": "NORM Reed-Solomon FEC 编码",
   "level": "l3"
  },
  "CAP_3b1b068e": {
   "en": "NORM NACK Backoff Suppression",
   "zh": "NORM NACK 退避抑制",
   "level": "l3"
  },
  "CAP_c09d0892": {
   "en": "NORM SQUELCH Repair Aggregation",
   "zh": "NORM SQUELCH 修复聚合",
   "level": "l3"
  },
  "CAP_c024e446": {
   "en": "Network Coding Reliable Dissemination",
   "zh": "网络编码可靠分发",
   "level": "l2"
  },
  "CAP_f9a04a29": {
   "en": "Tetrys Elastic Window Encoding",
   "zh": "Tetrys 弹性窗口编码",
   "level": "l3"
  },
  "CAP_f4124331": {
   "en": "Network Coding Linear Combination Coding",
   "zh": "网络编码线性组合生成",
   "level": "l3"
  },
  "CAP_3d5402d0": {
   "en": "Network Coding Gaussian Elimination Decoding",
   "zh": "网络编码高斯消元解码",
   "level": "l3"
  },
  "CAP_38a4c707": {
   "en": "Intermittent Connectivity Reliable Delivery",
   "zh": "间歇连通可靠交付",
   "level": "l2"
  },
  "CAP_7156dabe": {
   "en": "BPv7 Stack Deployment",
   "zh": "BPv7 协议栈部署与运行",
   "level": "l3"
  },
  "CAP_964e596b": {
   "en": "Bundle Custody Transfer",
   "zh": "Bundle custody 转交",
   "level": "l3"
  },
  "CAP_3de15ce7": {
   "en": "Backpressure Message Ferry Scheduling",
   "zh": "反压消息摆渡调度",
   "level": "l3"
  },
  "CAP_57dd2422": {
   "en": "Mule Bundle Queue Management",
   "zh": "骡子 bundle 队列管理",
   "level": "l3"
  },
  "CAP_ae46e087": {
   "en": "Bundle Storage Management",
   "zh": "Bundle 持久化存储管理",
   "level": "l3"
  },
  "CAP_218d4391": {
   "en": "Bundle Status Report Handling",
   "zh": "Bundle 状态报告处理",
   "level": "l3"
  },
  "CAP_baafd266": {
   "en": "Multi Hop Mule Handoff",
   "zh": "多跳骡子接力转交",
   "level": "l3"
  },
  "CAP_1028fcc6": {
   "en": "Nav2 Unified QoS Factory Assignment",
   "zh": "Nav2统一QoS工厂分配",
   "level": "l3"
  },
  "CAP_2b62a440": {
   "en": "Non-strict Reliability Mode",
   "zh": "非严格可靠性模式",
   "level": "l3"
  },
  "CAP_8f8b64ea": {
   "en": "Non-blocking Transport & Buffer Tuning",
   "zh": "非阻塞传输与缓冲区调优",
   "level": "l3"
  },
  "CAP_b9047892": {
   "en": "Max Blocking Time Upper Bound Computation",
   "zh": "最大阻塞时间上界计算",
   "level": "l3"
  },
  "CAP_80322e45": {
   "en": "Real-Time QoS Policy Combination",
   "zh": "实时QoS策略组合配置",
   "level": "l3"
  },
  "CAP_33e2c9e1": {
   "en": "DDS RELIABLE Blocking Side-Effect Modeling",
   "zh": "DDS可靠传输阻塞副作用建模",
   "level": "l3"
  },
  "CAP_30b91b1e": {
   "en": "DDS-TSN Deterministic Communication Integration",
   "zh": "DDS-TSN确定性通信融合",
   "level": "l3"
  },
  "CAP_e02e5f61": {
   "en": "BoW Descriptor Computation for Relocalization",
   "zh": "重定位词袋描述子计算",
   "level": "l3"
  },
  "CAP_3bf89c5e": {
   "en": "Keyframe Database Relocalization Candidate Retrieval",
   "zh": "关键帧数据库重定位候选检索",
   "level": "l3"
  },
  "CAP_2dcea9c5": {
   "en": "Sparse 3D CNN Encoding for Localizability",
   "zh": "稀疏3D CNN可定位性编码",
   "level": "l3"
  },
  "CAP_505d99a6": {
   "en": "PCA-Based Observability Direction Analysis",
   "zh": "PCA可观测性方向分析",
   "level": "l3"
  },
  "CAP_8bfc8e40": {
   "en": "Active Pose Prior Fusion for Degeneracy Mitigation",
   "zh": "主动位姿先验融合退化缓解",
   "level": "l3"
  },
  "CAP_77cf2d53": {
   "en": "Learning-Based Localizability Prior",
   "zh": "学习型可定位性先验",
   "level": "l3"
  },
  "CAP_ea758903": {
   "en": "Image Feature Encoding for Probabilistic Pose Regression",
   "zh": "概率位姿回归图像特征编码",
   "level": "l3"
  },
  "CAP_25b57d6b": {
   "en": "Surgical Workspace Requirements Definition",
   "zh": "手术工作空间需求定义",
   "level": "l3"
  },
  "CAP_5a1bf4cc": {
   "en": "RCM Workspace Analysis",
   "zh": "RCM工作空间分析",
   "level": "l3"
  },
  "CAP_373c9afc": {
   "en": "RCM Stiffness and Dynamics Analysis",
   "zh": "RCM刚度与动力学分析",
   "level": "l3"
  },
  "CAP_9d4d9985": {
   "en": "RCM Prototype Manufacturing",
   "zh": "RCM样机制造",
   "level": "l3"
  },
  "CAP_e7b285b6": {
   "en": "Surgical Task Performance Verification",
   "zh": "手术任务性能验证",
   "level": "l3"
  },
  "CAP_0106e200": {
   "en": "RCM Constraint Formulation",
   "zh": "RCM约束建模",
   "level": "l2"
  },
  "CAP_37dca8f2": {
   "en": "RCM Task Priority Assignment",
   "zh": "RCM任务优先级分配",
   "level": "l3"
  },
  "CAP_1f142cce": {
   "en": "RCM Constraint Jacobian Computation",
   "zh": "RCM约束雅可比计算",
   "level": "l3"
  },
  "CAP_551cbfcc": {
   "en": "RCM Velocity Control",
   "zh": "RCM速度控制",
   "level": "l3"
  },
  "CAP_1da76db8": {
   "en": "Task Tracking Validation",
   "zh": "任务跟踪验证",
   "level": "l3"
  },
  "CAP_e12e2bab": {
   "en": "Multi-Constraint QP Optimization",
   "zh": "多约束QP优化",
   "level": "l3"
  },
  "CAP_9d483888": {
   "en": "ZNN Solver Design",
   "zh": "ZNN求解器设计",
   "level": "l3"
  },
  "CAP_a686d01f": {
   "en": "Constraint Projection and KKT",
   "zh": "约束投影与KKT条件处理",
   "level": "l3"
  },
  "CAP_be695040": {
   "en": "Optimization-to-Joint Command Mapping",
   "zh": "优化结果到关节指令映射",
   "level": "l3"
  },
  "CAP_f8bfe048": {
   "en": "QP Tracking Accuracy Validation",
   "zh": "QP跟踪精度验证",
   "level": "l3"
  },
  "CAP_01292c0b": {
   "en": "Constraint-Consistent Projection",
   "zh": "约束一致性投影",
   "level": "l3"
  },
  "CAP_1db7f1b1": {
   "en": "Null-Space Compliance Control",
   "zh": "零空间顺应控制",
   "level": "l3"
  },
  "CAP_f470a349": {
   "en": "Interaction-Aware Control",
   "zh": "交互感知控制",
   "level": "l3"
  },
  "CAP_7f0ad0b1": {
   "en": "RCM Force Estimation",
   "zh": "RCM力估计",
   "level": "l2"
  },
  "CAP_a232f75a": {
   "en": "Force Rejection Filtering",
   "zh": "力拒绝滤波",
   "level": "l3"
  },
  "CAP_7f2f6df8": {
   "en": "RCM Position Adjustment Computation",
   "zh": "RCM位置修正计算",
   "level": "l3"
  },
  "CAP_e908bf0b": {
   "en": "Adaptive Neural Admittance Control",
   "zh": "自适应神经导纳控制",
   "level": "l3"
  },
  "CAP_ba955ee5": {
   "en": "Redundancy Resolution with Adaptive RCM",
   "zh": "自适应RCM冗余度解析",
   "level": "l3"
  },
  "CAP_1caffb81": {
   "en": "Screen Gaze Point Mapping",
   "zh": "屏幕注视点映射",
   "level": "l3"
  },
  "CAP_3c2f5667": {
   "en": "Synthetic Eye Rendering",
   "zh": "合成眼图像渲染",
   "level": "l3"
  },
  "CAP_8f936434": {
   "en": "Personal Gaze Calibration",
   "zh": "个性化注视校准",
   "level": "l2"
  },
  "CAP_d435611a": {
   "en": "Calibrated Gaze Output",
   "zh": "校准后注视输出",
   "level": "l3"
  },
  "CAP_00685a54": {
   "en": "DT-ED Disentangling Representation",
   "zh": "DT-ED 解耦表征",
   "level": "l3"
  },
  "CAP_e3117ec6": {
   "en": "Few-Shot Calibration Acquisition",
   "zh": "少样本校准数据采集",
   "level": "l3"
  },
  "CAP_490c8769": {
   "en": "Multi-View Gaze Fusion",
   "zh": "多视角视线融合",
   "level": "l2"
  },
  "CAP_b6e57e48": {
   "en": "Multi-Camera Synchronization",
   "zh": "多摄像头同步",
   "level": "l3"
  },
  "CAP_329b0514": {
   "en": "Multi-View Head Pose Estimation",
   "zh": "多视角头部姿态估计",
   "level": "l3"
  },
  "CAP_e4abcdbe": {
   "en": "Split Network Implicit Calibration",
   "zh": "分网络结构与隐式标定",
   "level": "l3"
  },
  "CAP_87f24410": {
   "en": "Fleet Telemetry Data Aggregation and Storage",
   "zh": "机群遥测数据汇聚与存储",
   "level": "l2"
  },
  "CAP_37d562ac": {
   "en": "Industrial IoT Protocol Adaptation and Edge Acquisition",
   "zh": "工业IoT协议适配与边缘采集",
   "level": "l2"
  },
  "CAP_0863f6b8": {
   "en": "Edge Gateway Deployment and Driver Configuration",
   "zh": "边缘网关部署与驱动配置",
   "level": "l3"
  },
  "CAP_4f92010c": {
   "en": "Industrial IoT Cloud Data Ingestion and Storage",
   "zh": "工业IoT云端数据汇聚与存储",
   "level": "l2"
  },
  "CAP_846f099c": {
   "en": "Time-series Database Storage and Query API",
   "zh": "时序数据库存储与查询API",
   "level": "l3"
  },
  "CAP_069ea8fd": {
   "en": "Industrial IoT Web-based Remote Monitoring",
   "zh": "工业IoT Web远程监控",
   "level": "l3"
  },
  "CAP_9a5f611e": {
   "en": "3D Twin Anomaly Detection and Alerting",
   "zh": "3D数字孪生异常检测与告警",
   "level": "l2"
  },
  "CAP_a1c1a08a": {
   "en": "Twin State Anomaly Detection",
   "zh": "孪生状态异常检测",
   "level": "l3"
  },
  "CAP_baed4d97": {
   "en": "Initialize Synchronous Parameter Client",
   "zh": "初始化同步参数客户端",
   "level": "l3"
  },
  "CAP_808a8dab": {
   "en": "Initialize Asynchronous Parameter Client",
   "zh": "初始化异步参数客户端",
   "level": "l3"
  },
  "CAP_02d326f7": {
   "en": "Wait for Parameter Service",
   "zh": "等待参数服务可用",
   "level": "l3"
  },
  "CAP_97d09fa3": {
   "en": "Remote Get Parameters",
   "zh": "远程获取参数",
   "level": "l3"
  },
  "CAP_fb198be4": {
   "en": "Remote Set Parameters",
   "zh": "远程设置参数",
   "level": "l3"
  },
  "CAP_3da85d3e": {
   "en": "Robot Fleet Registration",
   "zh": "机器人车队注册",
   "level": "l3"
  },
  "CAP_5e3b2f58": {
   "en": "MQTT Topic Subscription for Command",
   "zh": "MQTT命令主题订阅",
   "level": "l3"
  },
  "CAP_3becad3f": {
   "en": "Cloud Dashboard Parameter Dispatch",
   "zh": "云端Dashboard参数下发",
   "level": "l3"
  },
  "CAP_be87cb1b": {
   "en": "Remote Parameter Validation and Application",
   "zh": "远程参数校验与应用",
   "level": "l3"
  },
  "CAP_656ec5f4": {
   "en": "Parameter Change Result Feedback",
   "zh": "参数变更结果反馈",
   "level": "l3"
  },
  "CAP_7f3ff8f3": {
   "en": "Environment State Update for Replanning",
   "zh": "重规划环境状态更新",
   "level": "l2"
  },
  "CAP_c54da6c3": {
   "en": "Global Costmap Management",
   "zh": "全局代价地图管理",
   "level": "l3"
  },
  "CAP_e251c583": {
   "en": "Local Costmap Management",
   "zh": "局部代价地图管理",
   "level": "l3"
  },
  "CAP_5b0cd81e": {
   "en": "Robot Pose Acquisition",
   "zh": "机器人位姿获取",
   "level": "l3"
  },
  "CAP_bececdcf": {
   "en": "Fixed-Rate Replanning Trigger",
   "zh": "固定频率重规划触发",
   "level": "l3"
  },
  "CAP_5fa9c685": {
   "en": "Path Validity Checking",
   "zh": "路径有效性检查",
   "level": "l3"
  },
  "CAP_7d7fa3a6": {
   "en": "Goal Change Detection",
   "zh": "目标变更检测",
   "level": "l3"
  },
  "CAP_b8303f60": {
   "en": "Proximity-Based Replanning Suppression",
   "zh": "接近目标重规划抑制",
   "level": "l3"
  },
  "CAP_8ef6dfa7": {
   "en": "Global Replanning Execution",
   "zh": "全局重规划执行",
   "level": "l2"
  },
  "CAP_3aad038a": {
   "en": "Planner Algorithm Selection",
   "zh": "规划器算法选择",
   "level": "l3"
  },
  "CAP_f6b808bc": {
   "en": "Global Path Computation",
   "zh": "全局路径计算",
   "level": "l3"
  },
  "CAP_62e1ef8a": {
   "en": "Path Truncation and Validation",
   "zh": "路径截断与验证",
   "level": "l3"
  },
  "CAP_0317bdd9": {
   "en": "Path Execution and Recovery",
   "zh": "路径执行与故障恢复",
   "level": "l2"
  },
  "CAP_52eb22de": {
   "en": "Local Path Following",
   "zh": "局部路径跟踪",
   "level": "l3"
  },
  "CAP_135b8c4c": {
   "en": "Global Costmap Clearing",
   "zh": "全局代价地图清除",
   "level": "l3"
  },
  "CAP_69ea5d61": {
   "en": "Local Costmap Clearing",
   "zh": "局部代价地图清除",
   "level": "l3"
  },
  "CAP_e1e15edf": {
   "en": "System-Level Navigation Recovery",
   "zh": "系统级导航恢复",
   "level": "l3"
  },
  "CAP_ac6e33ae": {
   "en": "Environment State Observation for DRL",
   "zh": "DRL 环境状态观测",
   "level": "l2"
  },
  "CAP_972b07fe": {
   "en": "Costmap State Encoding",
   "zh": "代价地图状态编码",
   "level": "l3"
  },
  "CAP_02fe76d3": {
   "en": "Path State Encoding",
   "zh": "路径状态编码",
   "level": "l3"
  },
  "CAP_a916076f": {
   "en": "DRL-Based Replanning Decision",
   "zh": "基于 DRL 的重规划决策",
   "level": "l2"
  },
  "CAP_31e668bf": {
   "en": "Action Sampling for Replanning",
   "zh": "重规划动作采样",
   "level": "l3"
  },
  "CAP_21ba4239": {
   "en": "Reference Path Update",
   "zh": "参考路径更新",
   "level": "l3"
  },
  "CAP_d3860c83": {
   "en": "Navigation Reward Shaping",
   "zh": "导航奖励塑形",
   "level": "l3"
  },
  "CAP_62ca981c": {
   "en": "DRL Policy Update",
   "zh": "DRL 策略更新",
   "level": "l3"
  },
  "CAP_386a41e7": {
   "en": "Uncertainty-Aware Trajectory Prediction",
   "zh": "不确定性感知轨迹预测",
   "level": "l2"
  },
  "CAP_85b64f2f": {
   "en": "Generative Model Trajectory Prediction",
   "zh": "生成模型轨迹预测",
   "level": "l3"
  },
  "CAP_a5e3f59c": {
   "en": "Deep Ensemble Uncertainty Estimation",
   "zh": "深度集成不确定性估计",
   "level": "l3"
  },
  "CAP_8b63c5ca": {
   "en": "Uncertainty-Guided Replanning Decision",
   "zh": "不确定性引导重规划决策",
   "level": "l2"
  },
  "CAP_72b79bb0": {
   "en": "Uncertainty Threshold Comparison",
   "zh": "不确定性阈值比较",
   "level": "l3"
  },
  "CAP_7bae94bc": {
   "en": "Multi-Step Action Execution",
   "zh": "多步动作执行",
   "level": "l3"
  },
  "CAP_bc2f3078": {
   "en": "Uncertainty-Guided Replanning Interval Adjustment",
   "zh": "不确定性引导重规划间隔调整",
   "level": "l3"
  },
  "CAP_e54ec63f": {
   "en": "Diffusion-Based Replanning",
   "zh": "基于扩散模型的重规划",
   "level": "l3"
  },
  "CAP_046f0d75": {
   "en": "Action Queue Update",
   "zh": "动作队列更新",
   "level": "l3"
  },
  "CAP_0cbfb5a9": {
   "en": "Cached Plan Deviation Monitoring",
   "zh": "缓存计划偏差监控",
   "level": "l2"
  },
  "CAP_a3611e25": {
   "en": "Cached Plan Execution",
   "zh": "缓存计划执行",
   "level": "l3"
  },
  "CAP_935f96df": {
   "en": "Execution Deviation Computation",
   "zh": "执行偏差计算",
   "level": "l3"
  },
  "CAP_e1cd1d0b": {
   "en": "Local Dynamics Sensitivity Estimation",
   "zh": "局部动力学敏感度估计",
   "level": "l3"
  },
  "CAP_7dbdccf8": {
   "en": "Adaptive Reuse Tolerance Computation",
   "zh": "自适应重用容忍度计算",
   "level": "l2"
  },
  "CAP_8ba153bd": {
   "en": "Dynamic-Regret-Based Replanning Tolerance",
   "zh": "基于动态遗憾的重规划容忍度",
   "level": "l3"
  },
  "CAP_7acd4fe7": {
   "en": "Deviation-Tolerance Comparison",
   "zh": "偏差-容忍度比较",
   "level": "l3"
  },
  "CAP_1a713d32": {
   "en": "Deviation-Triggered Replanning",
   "zh": "偏差触发重规划",
   "level": "l2"
  },
  "CAP_8ab3d963": {
   "en": "Cached Plan Update",
   "zh": "缓存计划更新",
   "level": "l3"
  },
  "CAP_afad33f7": {
   "en": "Goal-Proximity Replanning Gating",
   "zh": "目标邻近重规划门控",
   "level": "l3"
  },
  "CAP_0d451b70": {
   "en": "Adaptive RL Replanning Timing",
   "zh": "自适应 RL 重规划时机",
   "level": "l2"
  },
  "CAP_4fc99f30": {
   "en": "Navigation Environment State Encoding",
   "zh": "导航环境状态编码",
   "level": "l3"
  },
  "CAP_14d04134": {
   "en": "DRL-Based Replanning Timing Decision",
   "zh": "DRL 驱动重规划时机决策",
   "level": "l3"
  },
  "CAP_08b58edb": {
   "en": "Replanning Performance Monitoring",
   "zh": "重规划性能监控",
   "level": "l3"
  },
  "CAP_e75b5326": {
   "en": "Nav2 Cross-track and Heading Deviation Tracking",
   "zh": "Nav2 横纵向与朝向偏差跟踪",
   "level": "l3"
  },
  "CAP_d8ef1fb4": {
   "en": "Nav2 Spin Recovery",
   "zh": "Nav2 Spin 恢复行为",
   "level": "l3"
  },
  "CAP_861a69cc": {
   "en": "ReplanningTriggerMethod Decision",
   "zh": "重规划触发策略枚举决策",
   "level": "l3"
  },
  "CAP_d07ed56a": {
   "en": "PDDL Plan Reachability Monitoring",
   "zh": "PDDL 计划可达性监控",
   "level": "l3"
  },
  "CAP_2b3fcb22": {
   "en": "TL Violation Replan Trigger",
   "zh": "时序逻辑违反重规划触发决策",
   "level": "l3"
  },
  "CAP_1ad2042b": {
   "en": "TL Guided Replan Invocation",
   "zh": "时序逻辑引导重规划调用",
   "level": "l3"
  },
  "CAP_14322926": {
   "en": "TL Plan Re-validation",
   "zh": "时序逻辑计划重验证",
   "level": "l3"
  },
  "CAP_99eb7630": {
   "en": "LTL MTL Specification Encoding",
   "zh": "LTL/MTL 规约编码",
   "level": "l3"
  },
  "CAP_596deca0": {
   "en": "Future Violation Flagging",
   "zh": "未来违规标记",
   "level": "l3"
  },
  "CAP_da86e8a3": {
   "en": "Learned Replan Trigger Decision",
   "zh": "学习型重规划触发决策",
   "level": "l3"
  },
  "CAP_0b6e3505": {
   "en": "Budgeted Replan Control Loop",
   "zh": "预算化重规划控制回路",
   "level": "l3"
  },
  "CAP_10a09375": {
   "en": "Regret-Guided Update Scheduling",
   "zh": "后悔值引导的更新调度",
   "level": "l3"
  },
  "CAP_5b7b238f": {
   "en": "Perception-Grounded Replan Trigger",
   "zh": "感知接地重规划触发决策",
   "level": "l3"
  },
  "CAP_269fce16": {
   "en": "ReKep VLM-Driven Keypoint Constraint TAMP",
   "zh": "ReKep VLM 驱动关键点约束 TAMP",
   "level": "l3"
  },
  "CAP_4cdd3f1a": {
   "en": "Container Orchestration",
   "zh": "容器编排部署",
   "level": "l3"
  },
  "CAP_45a92038": {
   "en": "Container Network Topology",
   "zh": "容器网络拓扑配置",
   "level": "l3"
  },
  "CAP_faca694a": {
   "en": "Experiment Image Snapshot",
   "zh": "实验镜像快照导出",
   "level": "l3"
  },
  "CAP_d77847ee": {
   "en": "Cross-Environment Reproduction",
   "zh": "跨环境复现执行",
   "level": "l3"
  },
  "CAP_ba681494": {
   "en": "Experiment Configuration Management",
   "zh": "实验配置管理",
   "level": "l3"
  },
  "CAP_4df9b222": {
   "en": "Experiment Pipeline Definition",
   "zh": "实验管道定义",
   "level": "l3"
  },
  "CAP_066b937a": {
   "en": "Model Registry & Versioning",
   "zh": "模型注册与版本管理",
   "level": "l3"
  },
  "CAP_fb249107": {
   "en": "Hyperparameter Optimization",
   "zh": "超参数优化",
   "level": "l3"
  },
  "CAP_5bc480f2": {
   "en": "Experiment Artifact Management",
   "zh": "实验产物管理",
   "level": "l3"
  },
  "CAP_31180c84": {
   "en": "Standardized Environment API",
   "zh": "标准化环境接口",
   "level": "l3"
  },
  "CAP_44c2753b": {
   "en": "Global Seed Injection",
   "zh": "全局种子注入",
   "level": "l3"
  },
  "CAP_37a666d5": {
   "en": "Domain Randomization with Seed Control",
   "zh": "受控域随机化",
   "level": "l3"
  },
  "CAP_6b3fd6b2": {
   "en": "Environment Version Pinning",
   "zh": "环境版本锁定",
   "level": "l3"
  },
  "CAP_c46dc645": {
   "en": "Cross-Run Reproduction Verification",
   "zh": "跨运行复现验证",
   "level": "l3"
  },
  "CAP_3133b187": {
   "en": "Hermetic Sandbox Build",
   "zh": "沙箱隔离构建",
   "level": "l3"
  },
  "CAP_8a3240f3": {
   "en": "Overlay-Based Package Customization",
   "zh": "Overlay 包定制",
   "level": "l3"
  },
  "CAP_5695dd81": {
   "en": "Time-Machine Environment Reproduction",
   "zh": "时间机器环境复现",
   "level": "l3"
  },
  "CAP_7e84324e": {
   "en": "Automatic Dependency Tracing & Packing",
   "zh": "自动依赖追踪与打包",
   "level": "l3"
  },
  "CAP_74f697c8": {
   "en": "One-Click Reproduction Execution",
   "zh": "一键复现执行",
   "level": "l3"
  },
  "CAP_feb11195": {
   "en": "Reproducibility Verification & Scoring",
   "zh": "复现性验证与量化评分",
   "level": "l3"
  },
  "CAP_ef8b6a85": {
   "en": "CI/CD Pipeline Integration",
   "zh": "CI/CD 流水线集成",
   "level": "l3"
  },
  "CAP_2793c3e8": {
   "en": "Popperized Experiment Workflow",
   "zh": "Popper 化实验工作流",
   "level": "l3"
  },
  "CAP_bcfa6aa3": {
   "en": "Classical Controller Design and Tuning",
   "zh": "经典控制器设计与整定",
   "level": "l2"
  },
  "CAP_1fa95d2b": {
   "en": "Base Controller Selection and Tuning",
   "zh": "基控制器选型与参数整定",
   "level": "l3"
  },
  "CAP_215961c3": {
   "en": "Controller Closed-Loop Validation",
   "zh": "控制器闭环验证",
   "level": "l3"
  },
  "CAP_8090fe1b": {
   "en": "Residual Policy Learning on Classical Controller",
   "zh": "经典控制器残差策略学习",
   "level": "l2"
  },
  "CAP_17c5d7ad": {
   "en": "Bounded Action Residual Space Definition",
   "zh": "有界动作残差空间定义",
   "level": "l3"
  },
  "CAP_48885b8e": {
   "en": "Residual RL Training with PPO or SAC",
   "zh": "残差RL训练（PPO/SAC）",
   "level": "l3"
  },
  "CAP_7258e6f5": {
   "en": "Base-Residual Action Composition",
   "zh": "基策略-残差动作合成",
   "level": "l3"
  },
  "CAP_60cc8623": {
   "en": "Residual-Enhanced Controller Deployment and Evaluation",
   "zh": "残差增强控制器部署与评估",
   "level": "l2"
  },
  "CAP_f082ee9a": {
   "en": "Residual-Enhanced vs Baseline Performance Comparison",
   "zh": "残差增强与基线性能对比",
   "level": "l3"
  },
  "CAP_9e6ae4f4": {
   "en": "Pretrained Policy Loading and Freezing",
   "zh": "预训练策略加载与冻结",
   "level": "l2"
  },
  "CAP_2d234057": {
   "en": "Pretrained Policy Loading",
   "zh": "预训练策略加载",
   "level": "l3"
  },
  "CAP_29afdde7": {
   "en": "Base Policy Freezing and Inference Wrapper",
   "zh": "基策略冻结与推理封装",
   "level": "l3"
  },
  "CAP_72c72eb5": {
   "en": "Pretrained Policy Residual Fine-Tuning",
   "zh": "预训练策略残差微调",
   "level": "l2"
  },
  "CAP_7dc9199c": {
   "en": "Lightweight Residual Policy Head Design",
   "zh": "轻量残差策略头部设计",
   "level": "l3"
  },
  "CAP_ca2fa725": {
   "en": "Cold Start Mitigation via Base Policy Trajectory Warmup",
   "zh": "基策略轨迹预热冷启动缓解",
   "level": "l3"
  },
  "CAP_f80264ba": {
   "en": "Critic Normalization for Scale Matching",
   "zh": "尺度匹配的Critic归一化",
   "level": "l3"
  },
  "CAP_28e263db": {
   "en": "Base Policy Attenuation and Standalone Deployment",
   "zh": "基策略衰减与独立部署",
   "level": "l2"
  },
  "CAP_9b0078ed": {
   "en": "Base Policy Contribution Attenuation Scheduling",
   "zh": "基策略贡献衰减调度",
   "level": "l3"
  },
  "CAP_1257683b": {
   "en": "Standalone Policy Deployment Verification",
   "zh": "独立策略部署验证",
   "level": "l3"
  },
  "CAP_14e1df28": {
   "en": "Base Policy Distribution Modeling",
   "zh": "基策略分布建模",
   "level": "l2"
  },
  "CAP_accf58f9": {
   "en": "Base Policy Action Distribution Analysis",
   "zh": "基策略动作分布分析",
   "level": "l3"
  },
  "CAP_cb18c8b1": {
   "en": "Invertible Transformation Architecture Selection",
   "zh": "可逆变换架构选择",
   "level": "l3"
  },
  "CAP_6e568afb": {
   "en": "Distribution-Level Residual Learning",
   "zh": "分布级残差学习",
   "level": "l2"
  },
  "CAP_f059e2a9": {
   "en": "Identity-Initialized Warp Parameter Training",
   "zh": "恒等初始化变换参数训练",
   "level": "l3"
  },
  "CAP_ea4f917c": {
   "en": "Latent Space Residual Perturbation Learning",
   "zh": "潜在空间残差扰动学习",
   "level": "l3"
  },
  "CAP_5a0ac4ae": {
   "en": "Joint Residual Action and Latent Modulation",
   "zh": "联合残差动作与潜在调制",
   "level": "l3"
  },
  "CAP_38a0217d": {
   "en": "Distribution Transformation Verification",
   "zh": "分布变换验证",
   "level": "l3"
  },
  "CAP_575fe7f0": {
   "en": "Warped Policy Deployment and Evaluation",
   "zh": "变换策略部署与评估",
   "level": "l2"
  },
  "CAP_b3b87d7c": {
   "en": "Warped Policy Inference Pipeline Integration",
   "zh": "变换策略推理管线集成",
   "level": "l3"
  },
  "CAP_9eca8c11": {
   "en": "End-to-End Distribution-Level Policy Evaluation",
   "zh": "端到端分布级策略评估",
   "level": "l3"
  },
  "CAP_99c5fd9b": {
   "en": "Machine Limit Definition",
   "zh": "机器限制定义",
   "level": "l3"
  },
  "CAP_c6646b81": {
   "en": "Three-Step Risk Reduction",
   "zh": "三步法风险减小",
   "level": "l3"
  },
  "CAP_8ddaa263": {
   "en": "Residual Risk Acceptability Judgment",
   "zh": "残余风险可接受性判定",
   "level": "l3"
  },
  "CAP_a76d1c60": {
   "en": "Risk Reduction Iteration Control",
   "zh": "风险减小迭代控制",
   "level": "l3"
  },
  "CAP_03fdadb5": {
   "en": "SRP CS Architecture Parameterization",
   "zh": "SRP/CS 架构参数化",
   "level": "l3"
  },
  "CAP_3fb58f05": {
   "en": "Individual Residual Risk Assessment",
   "zh": "个体残余风险评估",
   "level": "l3"
  },
  "CAP_2dd76bcd": {
   "en": "Benefit-Risk Analysis",
   "zh": "受益-风险分析",
   "level": "l3"
  },
  "CAP_e81ec509": {
   "en": "Intended Function Definition",
   "zh": "预期功能定义",
   "level": "l3"
  },
  "CAP_838cf6c3": {
   "en": "ESC Model Risk Assessment",
   "zh": "ESC模型风险评估",
   "level": "l3"
  },
  "CAP_19e0cf62": {
   "en": "Functional Modification",
   "zh": "功能改进",
   "level": "l3"
  },
  "CAP_01680eda": {
   "en": "Scenario Testing and Validation",
   "zh": "场景测试验证",
   "level": "l3"
  },
  "CAP_39754138": {
   "en": "Battery-SoC-Aware Priority Re-ranking",
   "zh": "电池 SoC 感知优先级重排",
   "level": "l2"
  },
  "CAP_6f20e4fc": {
   "en": "Battery Degradation Cost Modeling",
   "zh": "电池退化成本建模",
   "level": "l3"
  },
  "CAP_e34ef3b6": {
   "en": "Resource-Aware Cost Bidding",
   "zh": "资源感知成本出价",
   "level": "l3"
  },
  "CAP_23a799d0": {
   "en": "Priority-based Task Re-ranking",
   "zh": "基于优先级的任务重排",
   "level": "l3"
  },
  "CAP_2ae45fa3": {
   "en": "Energy Feasibility Check",
   "zh": "能量可行性检查",
   "level": "l3"
  },
  "CAP_2e2b408c": {
   "en": "Compute-Aware Task Scheduling",
   "zh": "计算资源感知任务调度",
   "level": "l2"
  },
  "CAP_18b2b655": {
   "en": "CPU/GPU Utilization Monitoring",
   "zh": "CPU/GPU 利用率监控",
   "level": "l3"
  },
  "CAP_36d77451": {
   "en": "Compute Resource Standardization",
   "zh": "计算资源标准化描述",
   "level": "l3"
  },
  "CAP_fe05082d": {
   "en": "Compute Budget Judgment",
   "zh": "算力预算判断",
   "level": "l3"
  },
  "CAP_b328005c": {
   "en": "Task Dispatch & Preemption",
   "zh": "任务派发与抢占",
   "level": "l3"
  },
  "CAP_7d9e7b47": {
   "en": "Compute State Feedback",
   "zh": "计算状态反馈",
   "level": "l3"
  },
  "CAP_cb46ffc9": {
   "en": "Formal Resource-Constrained Strategy Synthesis",
   "zh": "形式化资源约束策略合成",
   "level": "l2"
  },
  "CAP_ebefc59f": {
   "en": "Consumption MDP Modeling",
   "zh": "消费MDP建模",
   "level": "l3"
  },
  "CAP_88eaa196": {
   "en": "LTLf Task Specification",
   "zh": "LTLf任务规约",
   "level": "l3"
  },
  "CAP_5f777db9": {
   "en": "LTLf to DFA Conversion",
   "zh": "LTLf到DFA转换",
   "level": "l3"
  },
  "CAP_6298764f": {
   "en": "Product MDP-DFA Construction",
   "zh": "MDP-DFA乘积构造",
   "level": "l3"
  },
  "CAP_06b2dae5": {
   "en": "State-Space Pruning for CMDPST",
   "zh": "CMDPST状态空间剪枝",
   "level": "l3"
  },
  "CAP_2152ba6f": {
   "en": "Qualitative Strategy Synthesis for CMDP",
   "zh": "消费MDP定性策略合成",
   "level": "l3"
  },
  "CAP_b5b7adb0": {
   "en": "Probabilistic Resource Never-Exhaust Verification",
   "zh": "概率性资源永不耗尽验证",
   "level": "l3"
  },
  "CAP_79d0664b": {
   "en": "Execution Monitoring and Replenishment Trigger Planning",
   "zh": "执行监控与补给触发规划",
   "level": "l3"
  },
  "CAP_07291ed4": {
   "en": "Online Budget Arbitration",
   "zh": "在线预算感知仲裁",
   "level": "l2"
  },
  "CAP_e54f0643": {
   "en": "Evidence Accumulation Verification",
   "zh": "证据积累目标验证",
   "level": "l3"
  },
  "CAP_54359699": {
   "en": "Multi-Queue Online Scheduling",
   "zh": "多队列在线调度",
   "level": "l3"
  },
  "CAP_bee2a948": {
   "en": "Resource Budget Optimization Allocation",
   "zh": "优化驱动资源预算分配",
   "level": "l2"
  },
  "CAP_be5794aa": {
   "en": "Resource Budget Optimization Formulation",
   "zh": "资源预算优化形式化",
   "level": "l3"
  },
  "CAP_873c9b60": {
   "en": "PDDL Temporal Resource Planning",
   "zh": "PDDL时序资源规划",
   "level": "l2"
  },
  "CAP_a706b90f": {
   "en": "LTLfTaskFormalization",
   "zh": "LTLf任务形式化",
   "level": "l3"
  },
  "CAP_94c835a6": {
   "en": "IterationLoopControl",
   "zh": "迭代循环控制",
   "level": "l3"
  },
  "CAP_fe7a4b2c": {
   "en": "OP Exact MILP Solver Pipeline",
   "zh": "OP精确MILP求解管线",
   "level": "l2"
  },
  "CAP_2154a4d2": {
   "en": "OP Instance Data Construction",
   "zh": "OP实例数据构建",
   "level": "l3"
  },
  "CAP_33be7e33": {
   "en": "OP Resource Constraint Encoding",
   "zh": "OP资源约束编码",
   "level": "l3"
  },
  "CAP_8b3f8562": {
   "en": "OP Solution Extraction",
   "zh": "OP解提取",
   "level": "l3"
  },
  "CAP_8f2c5e6e": {
   "en": "OP Route Output",
   "zh": "OP路径结果输出",
   "level": "l3"
  },
  "CAP_40e02f32": {
   "en": "Metaheuristic OP Solver Pipeline",
   "zh": "元启发式OP求解管线",
   "level": "l2"
  },
  "CAP_68bdc50d": {
   "en": "Metaheuristic Initial Solution Construction",
   "zh": "元启发式初始解构造",
   "level": "l3"
  },
  "CAP_e346c197": {
   "en": "Metaheuristic Local Search",
   "zh": "元启发式局部搜索",
   "level": "l3"
  },
  "CAP_49235ca5": {
   "en": "Metaheuristic Perturbation",
   "zh": "元启发式扰动",
   "level": "l3"
  },
  "CAP_5f7970bb": {
   "en": "Metaheuristic Acceptance Criterion",
   "zh": "元启发式接受准则",
   "level": "l3"
  },
  "CAP_85afd7ac": {
   "en": "Metaheuristic Solution Output",
   "zh": "元启发式解输出",
   "level": "l3"
  },
  "CAP_f9e039f6": {
   "en": "Robust Multi-Robot OP Pipeline",
   "zh": "鲁棒多机器人OP管线",
   "level": "l2"
  },
  "CAP_4a2de827": {
   "en": "RMOP Graph Model Construction",
   "zh": "RMOP图模型构建",
   "level": "l3"
  },
  "CAP_b5cc0af7": {
   "en": "RMOP Submodular Reward Modeling",
   "zh": "RMOP次模奖励建模",
   "level": "l3"
  },
  "CAP_e40dbc9d": {
   "en": "RMOP Redundancy Design",
   "zh": "RMOP冗余设计",
   "level": "l3"
  },
  "CAP_616013fc": {
   "en": "NCO Instance Encoding",
   "zh": "NCO实例编码",
   "level": "l3"
  },
  "CAP_98b7c268": {
   "en": "NCO Policy Training",
   "zh": "NCO策略训练",
   "level": "l3"
  },
  "CAP_b4ae8e2d": {
   "en": "NCO Policy Action Selection",
   "zh": "NCO策略动作选择",
   "level": "l3"
  },
  "CAP_a9a6fd41": {
   "en": "Resource Constraint Definition",
   "zh": "资源约束定义",
   "level": "l3"
  },
  "CAP_e359be2b": {
   "en": "Temporal Gated SSI Auction Orchestration",
   "zh": "时序门控 SSI 拍卖编排",
   "level": "l3"
  },
  "CAP_3c472b19": {
   "en": "Intersection Zone Detection",
   "zh": "交叉口区域检测与时空格划分",
   "level": "l3"
  },
  "CAP_d904fdb4": {
   "en": "Time Extended Schedule Execution",
   "zh": "时间扩展调度执行",
   "level": "l2"
  },
  "CAP_032d7591": {
   "en": "Optimization Driven Dynamic Scheduling",
   "zh": "优化驱动动态调度",
   "level": "l3"
  },
  "CAP_398ca55b": {
   "en": "Schedule Validation and Output",
   "zh": "调度验证与输出",
   "level": "l3"
  },
  "CAP_fd0f1a13": {
   "en": "Multi Robot Shared Tool Library Petri Net Scheduling",
   "zh": "多机器人共享工具库 Petri 网调度",
   "level": "l2"
  },
  "CAP_61e807f5": {
   "en": "Colored Timed Petri Net Extension",
   "zh": "着色时间 Petri 网扩展",
   "level": "l3"
  },
  "CAP_e89f8756": {
   "en": "Petri Net Simulation Schedule Generation",
   "zh": "Petri 网仿真驱动调度生成",
   "level": "l3"
  },
  "CAP_d14eb2f8": {
   "en": "Perturbation Detection and Impact Assessment",
   "zh": "扰动检测与影响评估",
   "level": "l3"
  },
  "CAP_5f649ee4": {
   "en": "Warm Start Optimization Acceleration",
   "zh": "热启动优化加速",
   "level": "l3"
  },
  "CAP_a6c8125b": {
   "en": "Pliable Plan Goal Reassignment",
   "zh": "可塑计划目标重分配",
   "level": "l3"
  },
  "CAP_39305d1c": {
   "en": "Online Conflict Resolution and Priority Adjustment",
   "zh": "在线冲突消解与优先级调整",
   "level": "l3"
  },
  "CAP_6ebde7d5": {
   "en": "Consumable Resource Bound Encoding",
   "zh": "消耗性资源上下界编码",
   "level": "l3"
  },
  "CAP_c4ca5f9f": {
   "en": "Resource Bound Violation Localization",
   "zh": "资源违例不可行片段定位",
   "level": "l3"
  },
  "CAP_7cc0130f": {
   "en": "PDDL2.1 Event Projection",
   "zh": "PDDL 2.1 事件投影",
   "level": "l3"
  },
  "CAP_afec5789": {
   "en": "Resource Violation Step Localization",
   "zh": "资源违例步骤定位",
   "level": "l3"
  },
  "CAP_18d403b9": {
   "en": "Timeline Resource Modeling",
   "zh": "时间线资源建模",
   "level": "l3"
  },
  "CAP_8faecad6": {
   "en": "Timeline Constraint Propagation",
   "zh": "时间线约束传播",
   "level": "l3"
  },
  "CAP_0acc1c88": {
   "en": "Hardware Sensor Metrics Collection",
   "zh": "硬件传感器指标采集",
   "level": "l3"
  },
  "CAP_78070738": {
   "en": "GPU Metrics Export",
   "zh": "GPU 指标导出",
   "level": "l3"
  },
  "CAP_e1fbf0c9": {
   "en": "GPU Thermal Throttling Detection",
   "zh": "GPU 热降频与功耗异常检测",
   "level": "l3"
  },
  "CAP_ff55656e": {
   "en": "Container K8s Resource Monitoring Pipeline",
   "zh": "容器/K8s 级资源监控流水线",
   "level": "l2"
  },
  "CAP_aaa90d0c": {
   "en": "Container Resource Metrics Collection",
   "zh": "容器资源指标采集",
   "level": "l3"
  },
  "CAP_e40e86e3": {
   "en": "Container Resource Utilization Pre-computation",
   "zh": "容器资源利用率预计算",
   "level": "l3"
  },
  "CAP_b82d3092": {
   "en": "Container Resource Alert Evaluation",
   "zh": "容器资源告警评估",
   "level": "l3"
  },
  "CAP_a8a960f2": {
   "en": "Compute Resource Monitoring and Offloading Decision",
   "zh": "计算资源监控与卸载决策",
   "level": "l2"
  },
  "CAP_1f61e0ee": {
   "en": "Multi-Cloud Fault-Tolerant Execution",
   "zh": "多云容错执行管线",
   "level": "l2"
  },
  "CAP_cfbe4e28": {
   "en": "Multi-Cloud Service Replication",
   "zh": "多云服务复制与首响应路由",
   "level": "l3"
  },
  "CAP_66952789": {
   "en": "Cloud Replica Failure Detection",
   "zh": "云副本故障检测与切换",
   "level": "l3"
  },
  "CAP_cbdcb60e": {
   "en": "Bandwidth Reallocation Execution Pipeline",
   "zh": "带宽重分配执行管线",
   "level": "l2"
  },
  "CAP_ef6b8dd0": {
   "en": "Topic Throttling and QoS Degradation",
   "zh": "话题节流与QoS降级",
   "level": "l3"
  },
  "CAP_33158096": {
   "en": "Soft-Target KL Distillation Pipeline",
   "zh": "软目标KL散度蒸馏链",
   "level": "l2"
  },
  "CAP_94cde913": {
   "en": "Neural-to-Decision-Tree Distillation Pipeline",
   "zh": "神经网络到决策树蒸馏链",
   "level": "l2"
  },
  "CAP_b1e42689": {
   "en": "Compact Student Policy Training",
   "zh": "紧凑学生策略训练",
   "level": "l3"
  },
  "CAP_cc86ee01": {
   "en": "Critical Response Synthesis via Aggregate Prompt",
   "zh": "聚合提示驱动的批判性合成",
   "level": "l3"
  },
  "CAP_9d9efb5c": {
   "en": "Debate Convergence Detection",
   "zh": "辩论收敛检测",
   "level": "l3"
  },
  "CAP_68e13604": {
   "en": "Send API Dynamic Fan-out",
   "zh": "Send API 动态扇出",
   "level": "l3"
  },
  "CAP_b4f9cac4": {
   "en": "Structured Information Protocol Enforcement",
   "zh": "结构化信息协议强制",
   "level": "l3"
  },
  "CAP_29303ee8": {
   "en": "Reduce Aggregation",
   "zh": "reduce 聚合",
   "level": "l3"
  },
  "CAP_09ccd497": {
   "en": "Cross-Encoder Reranking Pipeline",
   "zh": "交叉编码器重排流水线",
   "level": "l2"
  },
  "CAP_fa1cdce2": {
   "en": "Cross-Encoder Pairwise Scoring",
   "zh": "交叉编码器逐对打分",
   "level": "l3"
  },
  "CAP_5180bc37": {
   "en": "Rerank Result Truncation",
   "zh": "重排结果截取",
   "level": "l3"
  },
  "CAP_13b5366f": {
   "en": "Cross-Encoder Batch Inference",
   "zh": "交叉编码器批量推理",
   "level": "l3"
  },
  "CAP_1f9836f0": {
   "en": "Generative LLM Reranking Pipeline",
   "zh": "生成式 LLM 重排流水线",
   "level": "l2"
  },
  "CAP_cec7e80c": {
   "en": "LLM Listwise Reranking",
   "zh": "LLM 列表式重排",
   "level": "l3"
  },
  "CAP_3e2b34fc": {
   "en": "LLM Pointwise Reranking",
   "zh": "LLM 逐点式重排",
   "level": "l3"
  },
  "CAP_7e70af14": {
   "en": "LLM Pairwise Reranking",
   "zh": "LLM 成对式重排",
   "level": "l3"
  },
  "CAP_d27ec486": {
   "en": "ColBERT Late-Interaction Reranking Pipeline",
   "zh": "ColBERT 迟交互重排流水线",
   "level": "l2"
  },
  "CAP_d0d49778": {
   "en": "Document Token Embedding Precomputation",
   "zh": "文档 Token 向量预计算",
   "level": "l3"
  },
  "CAP_970ffa78": {
   "en": "Retrieval Hyperparameter Optimization",
   "zh": "检索超参优化",
   "level": "l2"
  },
  "CAP_73b83d6e": {
   "en": "Retrieval Parameter Space Definition",
   "zh": "检索参数空间定义",
   "level": "l3"
  },
  "CAP_a6555f3e": {
   "en": "RAG Evaluation Metric Computation",
   "zh": "RAG评估指标计算",
   "level": "l3"
  },
  "CAP_629d2616": {
   "en": "Online Bandit Hyperparameter Tuning",
   "zh": "在线老虎机超参调优",
   "level": "l3"
  },
  "CAP_3a1cf65b": {
   "en": "Optimal Configuration Deployment",
   "zh": "最优配置部署",
   "level": "l3"
  },
  "CAP_d0c29f5f": {
   "en": "Retriever Portfolio Selection",
   "zh": "检索器组合选择",
   "level": "l3"
  },
  "CAP_05de5f5e": {
   "en": "Reward-Driven Retriever Optimization",
   "zh": "奖励驱动检索器优化",
   "level": "l2"
  },
  "CAP_b002a60e": {
   "en": "Stochastic Retrieval MDP Formulation",
   "zh": "随机检索MDP建模",
   "level": "l3"
  },
  "CAP_5a1276fb": {
   "en": "Downstream Reward Signal Construction",
   "zh": "下游奖励信号构建",
   "level": "l3"
  },
  "CAP_3d6957c1": {
   "en": "Reward Model Retriever Alignment",
   "zh": "奖励模型检索器对齐",
   "level": "l3"
  },
  "CAP_d9de3f96": {
   "en": "Retrieval Preference Optimization",
   "zh": "检索偏好优化",
   "level": "l3"
  },
  "CAP_06c4be56": {
   "en": "Inference-Time Iterative Retrieval Tuning",
   "zh": "推理时迭代检索调优",
   "level": "l2"
  },
  "CAP_b7304288": {
   "en": "Diversity-Aware Retrieval",
   "zh": "多样性感知检索",
   "level": "l3"
  },
  "CAP_c4f3d138": {
   "en": "Diversity Weight Adaptive Update",
   "zh": "多样性权重自适应更新",
   "level": "l3"
  },
  "CAP_0305fbaa": {
   "en": "Constraint-Bounded Reward Optimization",
   "zh": "受限奖励优化",
   "level": "l2"
  },
  "CAP_0402565b": {
   "en": "Reference-Policy KL Regularization",
   "zh": "参考策略KL正则化",
   "level": "l3"
  },
  "CAP_c074a38e": {
   "en": "Reward Model Ensemble Conservative Aggregation",
   "zh": "奖励模型集成保守聚合",
   "level": "l3"
  },
  "CAP_572c77e9": {
   "en": "Lightweight Last-Layer Reward Uncertainty Estimation",
   "zh": "轻量末层奖励不确定性估计",
   "level": "l3"
  },
  "CAP_dddf1333": {
   "en": "Reward Tampering Incentive Elimination",
   "zh": "奖励篡改激励消除",
   "level": "l2"
  },
  "CAP_b3509149": {
   "en": "Causal Influence Diagram Tampering Channel Identification",
   "zh": "因果影响图篡改通道识别",
   "level": "l3"
  },
  "CAP_72b3e9eb": {
   "en": "Current-RF Optimization Objective Restructuring",
   "zh": "Current-RF优化目标重构",
   "level": "l3"
  },
  "CAP_54c6337c": {
   "en": "Action-Observation Correction Mechanism",
   "zh": "动作-观测修正机制",
   "level": "l3"
  },
  "CAP_5896752f": {
   "en": "Safe Interruptibility and Corrigibility Verification",
   "zh": "安全中断性与可纠正性验证",
   "level": "l3"
  },
  "CAP_05c284a1": {
   "en": "Bayesian Reward Inference and Risk-Averse Planning",
   "zh": "贝叶斯奖励推断与风险规避规划",
   "level": "l2"
  },
  "CAP_30f47a30": {
   "en": "Proxy Reward Posterior Inference",
   "zh": "代理奖励后验推断",
   "level": "l3"
  },
  "CAP_07fb72bf": {
   "en": "Supervised Reward Inference",
   "zh": "监督式奖励推断",
   "level": "l3"
  },
  "CAP_af8e389c": {
   "en": "Runtime Reward Hacking Monitoring",
   "zh": "奖励黑客运行时监控",
   "level": "l2"
  },
  "CAP_dee03814": {
   "en": "Activation Probe Reward Hacking Detection",
   "zh": "激活探针奖励黑客检测",
   "level": "l3"
  },
  "CAP_0388f999": {
   "en": "PRIME Early Warning Signal Measurement",
   "zh": "PRIME早期预警信号度量",
   "level": "l3"
  },
  "CAP_6f81b099": {
   "en": "Multi-Environment Detection Validation",
   "zh": "多环境检测验证",
   "level": "l3"
  },
  "CAP_75e25e27": {
   "en": "Ranking-Based Reward Extrapolation Learning",
   "zh": "排序外推奖励学习",
   "level": "l2"
  },
  "CAP_d5cdc3d9": {
   "en": "Trajectory Ranking Generation via Noise Injection",
   "zh": "噪声注入轨迹排序生成",
   "level": "l3"
  },
  "CAP_a72f5f0b": {
   "en": "Pairwise Ranking Reward Network Training",
   "zh": "排序分类奖励网络训练",
   "level": "l3"
  },
  "CAP_bf07a9b1": {
   "en": "Policy Optimization on Learned Reward (Ranking-Based)",
   "zh": "学习奖励上的策略优化（排序外推）",
   "level": "l3"
  },
  "CAP_f5a87d7a": {
   "en": "High-Confidence Policy Performance Evaluation",
   "zh": "高置信策略性能评估",
   "level": "l3"
  },
  "CAP_cdb3378d": {
   "en": "Suboptimality-Modeling Reward Inference",
   "zh": "次优性建模奖励推断",
   "level": "l2"
  },
  "CAP_da947911": {
   "en": "Boltzmann Suboptimal Demonstrator Modeling",
   "zh": "Boltzmann 次优演示者建模",
   "level": "l3"
  },
  "CAP_21b2b197": {
   "en": "Joint Reward-Suboptimality Maximum Likelihood Estimation",
   "zh": "奖励-次优性联合最大似然推断",
   "level": "l3"
  },
  "CAP_b2cb94b0": {
   "en": "Generalized IRL with Suboptimality Extension",
   "zh": "广义 IRL 次优性扩展",
   "level": "l3"
  },
  "CAP_5df59647": {
   "en": "Offline Suboptimal Demonstration Policy Learning",
   "zh": "离线次优演示策略学习",
   "level": "l3"
  },
  "CAP_05065bf8": {
   "en": "Feasible Reward Set Constraint-Intersection IRL",
   "zh": "可行奖励集约束交集逆向强化学习",
   "level": "l2"
  },
  "CAP_d8e53658": {
   "en": "Epsilon-Suboptimality Feasible Reward Set Construction",
   "zh": "ε-次优可行奖励集构造",
   "level": "l3"
  },
  "CAP_56d2c17e": {
   "en": "Feasible Set Reward Ambiguity Resolution",
   "zh": "可行集奖励歧义消解",
   "level": "l3"
  },
  "CAP_24db98f4": {
   "en": "Offline Feasible Reward Learning with Function Approximation",
   "zh": "离线可行奖励学习与函数逼近",
   "level": "l3"
  },
  "CAP_bcbe30d9": {
   "en": "Running Statistics Reward Normalization",
   "zh": "在线运行统计奖励归一化",
   "level": "l2"
  },
  "CAP_b9d97b4d": {
   "en": "Discounted Return Accumulation",
   "zh": "折扣回报累积",
   "level": "l3"
  },
  "CAP_a1c5da1c": {
   "en": "Reward Std Scaling",
   "zh": "奖励标准差缩放",
   "level": "l3"
  },
  "CAP_e59ef703": {
   "en": "Reward Clipping",
   "zh": "奖励裁剪",
   "level": "l3"
  },
  "CAP_d600ffd9": {
   "en": "Normalization Statistics Persistence",
   "zh": "归一化统计量持久化",
   "level": "l3"
  },
  "CAP_d9a0a1b0": {
   "en": "PopArt Value Target Normalization",
   "zh": "PopArt 价值目标仿射归一化",
   "level": "l2"
  },
  "CAP_291a76af": {
   "en": "Adaptive Normalization Statistics Update",
   "zh": "自适应归一化统计量更新",
   "level": "l3"
  },
  "CAP_8ff2bfed": {
   "en": "Output Preserving Weight Compensation",
   "zh": "输出保持权重补偿",
   "level": "l3"
  },
  "CAP_f7070330": {
   "en": "Normalized Value Learning and Denormalized Inference",
   "zh": "归一化价值学习与反归一化推理",
   "level": "l3"
  },
  "CAP_2f4386d0": {
   "en": "Maximum Entropy Reward Scaling",
   "zh": "最大熵奖励缩放",
   "level": "l2"
  },
  "CAP_8b29b94f": {
   "en": "Multi-Reward Decoupled Normalization",
   "zh": "多奖励解耦归一化",
   "level": "l2"
  },
  "CAP_484268a0": {
   "en": "Per-Reward Group-wise Normalization",
   "zh": "逐奖励组内归一化",
   "level": "l3"
  },
  "CAP_b3c7d803": {
   "en": "Batch-wise Advantage Stabilization",
   "zh": "批量优势稳定化",
   "level": "l3"
  },
  "CAP_68cd98ff": {
   "en": "Conditioned Reward Design",
   "zh": "条件化奖励设计",
   "level": "l3"
  },
  "CAP_404d88e2": {
   "en": "Adaptive Reward Scale Optimization",
   "zh": "自适应奖励尺度优化",
   "level": "l2"
  },
  "CAP_7e470963": {
   "en": "Task Regret Based Weight Adjustment",
   "zh": "任务后悔值权重调整",
   "level": "l3"
  },
  "CAP_21c026f7": {
   "en": "Reward Scale Curriculum Scheduling",
   "zh": "奖励尺度课程调度",
   "level": "l3"
  },
  "CAP_358a57e1": {
   "en": "Reward Wrapper Integration",
   "zh": "奖励包装器集成",
   "level": "l3"
  },
  "CAP_d2f8bfec": {
   "en": "Policy Invariance Verification",
   "zh": "策略不变性验证",
   "level": "l3"
  },
  "CAP_fa38e1d7": {
   "en": "Dense Reward Term Design",
   "zh": "稠密奖励项设计",
   "level": "l3"
  },
  "CAP_812aa1b2": {
   "en": "Multi-Term Reward Weighted Aggregation",
   "zh": "多奖励项加权聚合",
   "level": "l3"
  },
  "CAP_45c4c64a": {
   "en": "Reward Weight Tuning",
   "zh": "奖励权重调参",
   "level": "l3"
  },
  "CAP_e2bd3e8f": {
   "en": "Learned Potential Function Estimation",
   "zh": "学习型势函数估计",
   "level": "l3"
  },
  "CAP_47beb4e1": {
   "en": "Reward Evolutionary Optimization",
   "zh": "奖励进化优化",
   "level": "l3"
  },
  "CAP_ec7b8714": {
   "en": "Training-Time Safety Filter Integration",
   "zh": "训练时安全滤波器集成",
   "level": "l3"
  },
  "CAP_6064006d": {
   "en": "Safety Constraint Internalization via Reward Shaping",
   "zh": "安全约束内化奖励塑形",
   "level": "l3"
  },
  "CAP_a199a4d8": {
   "en": "Formal Task Specification to Reward Translation",
   "zh": "形式化任务规格到奖励转译",
   "level": "l3"
  },
  "CAP_9019c218": {
   "en": "Hierarchical Potential Function Composition",
   "zh": "分层势函数组合",
   "level": "l3"
  },
  "CAP_d944c749": {
   "en": "Engineering Safety Penalty Composition",
   "zh": "工程化多目标加权惩罚项组装",
   "level": "l3"
  },
  "CAP_f75aa004": {
   "en": "Contact Collision Penalty Engineering",
   "zh": "接触/碰撞惩罚工程化",
   "level": "l3"
  },
  "CAP_5d65eded": {
   "en": "Hardware Protection Penalty Design",
   "zh": "硬件保护惩罚设计",
   "level": "l3"
  },
  "CAP_39778d18": {
   "en": "Pose Stability Penalty Design",
   "zh": "姿态稳定性惩罚设计",
   "level": "l3"
  },
  "CAP_3d0fe5c3": {
   "en": "Sim-to-Real Reward Robustification",
   "zh": "sim-to-real 奖励鲁棒化",
   "level": "l3"
  },
  "CAP_6eb5e2a8": {
   "en": "Phase-based SAR RFID Tag Localization",
   "zh": "相位合成孔径 RFID 标签定位",
   "level": "l2"
  },
  "CAP_76022238": {
   "en": "RFID Phase Preprocessing and Denoising",
   "zh": "RFID 相位预处理与去噪",
   "level": "l3"
  },
  "CAP_6f7fa4f7": {
   "en": "RFID SAR Hologram Construction",
   "zh": "RFID 合成孔径全息图构建",
   "level": "l3"
  },
  "CAP_bc3b6865": {
   "en": "RFID Tag Position Estimation via Holographic Peak Search",
   "zh": "全息图峰值搜索标签位置估计",
   "level": "l3"
  },
  "CAP_7463c9f0": {
   "en": "RFID-SLAM Factor Graph Localization",
   "zh": "RFID 因子图同步定位与建图",
   "level": "l2"
  },
  "CAP_4e3f4c57": {
   "en": "RFID Phase-based Relative Tag Position Estimation",
   "zh": "RFID 相位相对标签位置估计",
   "level": "l3"
  },
  "CAP_54241955": {
   "en": "RSSI Reference-Tag RFID Localization",
   "zh": "RSSI 参考标签 RFID 定位",
   "level": "l2"
  },
  "CAP_d09daa1d": {
   "en": "RFID RSSI Acquisition",
   "zh": "RFID RSSI 数据采集",
   "level": "l3"
  },
  "CAP_1339587b": {
   "en": "RFID Bayesian Particle Filter Localization",
   "zh": "RFID 贝叶斯粒子滤波定位",
   "level": "l3"
  },
  "CAP_1f633778": {
   "en": "UWB-Inertial Filter Fusion",
   "zh": "UWB 惯性滤波融合定位",
   "level": "l2"
  },
  "CAP_149f7e53": {
   "en": "EKF UWB Measurement Update",
   "zh": "EKF UWB 测距观测更新",
   "level": "l3"
  },
  "CAP_6853c3a1": {
   "en": "Anchor Position Calibration",
   "zh": "UWB 锚点位置标定",
   "level": "l3"
  },
  "CAP_3a8c58dd": {
   "en": "UWB Range Factor Construction",
   "zh": "UWB 测距因子构建",
   "level": "l3"
  },
  "CAP_48fcfd93": {
   "en": "RSSI-PDR Bayesian Fusion",
   "zh": "RSSI-PDR 贝叶斯融合定位",
   "level": "l2"
  },
  "CAP_57f95e8c": {
   "en": "WiFi/BLE RSSI Scanning",
   "zh": "WiFi/BLE RSSI 扫描",
   "level": "l3"
  },
  "CAP_2ff008c5": {
   "en": "Particle Filter RSSI-PDR Fusion",
   "zh": "粒子滤波 RSSI-PDR 融合",
   "level": "l3"
  },
  "CAP_31e553dc": {
   "en": "Inter-Robot UWB Ranging Protocol",
   "zh": "机间 UWB 测距协议",
   "level": "l3"
  },
  "CAP_e0f3260c": {
   "en": "Sparse Viewpoint Model Precomputation",
   "zh": "稀疏视点模型预计算",
   "level": "l3"
  },
  "CAP_c9d2e217": {
   "en": "Color Region Correspondence Computation",
   "zh": "颜色区域对应线计算",
   "level": "l3"
  },
  "CAP_acd0fb9e": {
   "en": "Depth ICP Correspondence Computation",
   "zh": "深度ICP对应点计算",
   "level": "l3"
  },
  "CAP_35fc483f": {
   "en": "Newton-Tikhonov Probabilistic Optimization",
   "zh": "牛顿-吉洪诺夫概率优化",
   "level": "l3"
  },
  "CAP_53c42e57": {
   "en": "6D Pose Tracking Update",
   "zh": "6D位姿跟踪状态更新",
   "level": "l3"
  },
  "CAP_a029dff9": {
   "en": "Autoencoder Rotation Codebook Precomputation",
   "zh": "自编码器旋转码本预计算",
   "level": "l3"
  },
  "CAP_1675745b": {
   "en": "RBPF Initialization and Prediction",
   "zh": "RBPF初始化与预测",
   "level": "l3"
  },
  "CAP_8c5c32e7": {
   "en": "Autoencoder Codebook Observation Likelihood",
   "zh": "自编码器码本观测似然",
   "level": "l3"
  },
  "CAP_2122fcdb": {
   "en": "Particle Weight Bayesian Update",
   "zh": "粒子权重贝叶斯更新",
   "level": "l3"
  },
  "CAP_2f593f11": {
   "en": "Rotation Posterior Quaternion Extraction",
   "zh": "旋转后验四元数加权提取",
   "level": "l3"
  },
  "CAP_64aeb37c": {
   "en": "Object Mask Computation",
   "zh": "物体掩码计算",
   "level": "l3"
  },
  "CAP_83c0322a": {
   "en": "Segmentation and Feature Frontend",
   "zh": "分割与特征前端",
   "level": "l3"
  },
  "CAP_873e7ca4": {
   "en": "Memory-Augmented Online Model Building",
   "zh": "记忆增强在线模型构建",
   "level": "l3"
  },
  "CAP_29025770": {
   "en": "Feature-Geometry Residual Fusion",
   "zh": "特征-几何残差融合",
   "level": "l3"
  },
  "CAP_a6d0d62f": {
   "en": "Lie Algebra Pose Graph Joint Optimization",
   "zh": "李代数位姿图联立优化",
   "level": "l3"
  },
  "CAP_0b3f2882": {
   "en": "Recursive Analytical Rigid Body Dynamics",
   "zh": "解析递归刚体动力学仿真",
   "level": "l2"
  },
  "CAP_b3655adb": {
   "en": "Constraint-Based Rigid Body Dynamics Simulation",
   "zh": "约束求解式刚体动力学仿真",
   "level": "l2"
  },
  "CAP_44603e66": {
   "en": "Maximal Coordinate Rigid Body Modeling",
   "zh": "最大坐标刚体建模",
   "level": "l3"
  },
  "CAP_ab62772f": {
   "en": "Symbolic Equations-of-Motion Generation",
   "zh": "符号化运动方程推导仿真",
   "level": "l2"
  },
  "CAP_b19adf84": {
   "en": "Symbolic Rigid Body Modeling",
   "zh": "符号刚体建模",
   "level": "l3"
  },
  "CAP_fbce3dd7": {
   "en": "Kane Method EOM Derivation",
   "zh": "Kane 方法运动方程推导",
   "level": "l3"
  },
  "CAP_466d7a0d": {
   "en": "Lagrangian EOM Derivation",
   "zh": "拉格朗日运动方程推导",
   "level": "l3"
  },
  "CAP_fe77a19b": {
   "en": "Symbolic Codegen",
   "zh": "符号代码生成",
   "level": "l3"
  },
  "CAP_103c300b": {
   "en": "Symbolic Dynamics Numerical Integration",
   "zh": "符号动力学数值积分仿真",
   "level": "l3"
  },
  "CAP_fdec49c3": {
   "en": "Reduced Coord Articulated Body Dynamics Pipeline",
   "zh": "广义坐标铰接体动力学流水线",
   "level": "l2"
  },
  "CAP_fe2307e6": {
   "en": "Articulated Contact External Force Coupling",
   "zh": "铰接体接触外力耦合",
   "level": "l3"
  },
  "CAP_246f33f7": {
   "en": "Maximal Coord Velocity Stepping Pipeline",
   "zh": "最大坐标速度层时间步进引擎流水线",
   "level": "l2"
  },
  "CAP_bc75b769": {
   "en": "Maximal Coord Body Creation And Shape Assembly",
   "zh": "最大坐标刚体创建与碰撞形状装配",
   "level": "l3"
  },
  "CAP_27f47b38": {
   "en": "Constraint Row Assembly From Joints And Contacts",
   "zh": "关节与接触约束行装配",
   "level": "l3"
  },
  "CAP_a817e1a6": {
   "en": "Island Partition And Sleep Management",
   "zh": "岛划分调度与休眠管理",
   "level": "l3"
  },
  "CAP_f22c1e4c": {
   "en": "Vectorized Model Loading And Batch Tensor Layout",
   "zh": "向量化模型加载与批张量布局",
   "level": "l3"
  },
  "CAP_91234090": {
   "en": "Batched Differentiable Constraint Solving",
   "zh": "批量可微约束求解",
   "level": "l3"
  },
  "CAP_2e28cadc": {
   "en": "Conservative Force Evaluation",
   "zh": "保守力求值",
   "level": "l3"
  },
  "CAP_991c29f9": {
   "en": "Velocity Half-step Update",
   "zh": "速度半步更新",
   "level": "l3"
  },
  "CAP_d15bec7a": {
   "en": "Position Full-step Update",
   "zh": "位置全步更新",
   "level": "l3"
  },
  "CAP_58ff85f7": {
   "en": "Velocity Completion Half-step Update",
   "zh": "速度完成半步更新",
   "level": "l3"
  },
  "CAP_5ce1c432": {
   "en": "Lie Group Geometric Integration Pipeline",
   "zh": "李群几何积分流水线",
   "level": "l2"
  },
  "CAP_05e5abbe": {
   "en": "Angular Velocity to Lie Algebra",
   "zh": "角速度李代数映射",
   "level": "l3"
  },
  "CAP_a983189f": {
   "en": "RKMK Iteration on Lie Algebra",
   "zh": "李代数 RKMK 迭代",
   "level": "l3"
  },
  "CAP_ac074447": {
   "en": "Exponential Map to Group",
   "zh": "指数映射回群",
   "level": "l3"
  },
  "CAP_4940e9a6": {
   "en": "Rotation Matrix Update",
   "zh": "旋转矩阵群乘法更新",
   "level": "l3"
  },
  "CAP_983a5a88": {
   "en": "Manifold Constraint Verification",
   "zh": "流形约束验证",
   "level": "l3"
  },
  "CAP_4f887c77": {
   "en": "Virtual Structure Definition and Reference Generation",
   "zh": "虚拟结构定义与参考生成",
   "level": "l2"
  },
  "CAP_aa466b50": {
   "en": "SE(2) Virtual Structure Trajectory Generation",
   "zh": "SE2虚拟结构轨迹生成",
   "level": "l3"
  },
  "CAP_6b7a794b": {
   "en": "Virtual Structure Formation Feedback and Convergence",
   "zh": "虚拟结构编队反馈与收敛",
   "level": "l3"
  },
  "CAP_7c1e399a": {
   "en": "Nonholonomic DEM Control",
   "zh": "非完整约束离散误差最小化控制",
   "level": "l3"
  },
  "CAP_b3632bc3": {
   "en": "Formation Rigidity and Disturbance Rejection Evaluation",
   "zh": "编队刚性与抗扰评估",
   "level": "l3"
  },
  "CAP_79ff1edf": {
   "en": "Reference Velocity Injection Navigation",
   "zh": "参考速度注入导航",
   "level": "l3"
  },
  "CAP_cd89866c": {
   "en": "Multi-UAV Transport Trajectory",
   "zh": "多UAV吊运轨迹规划",
   "level": "l3"
  },
  "CAP_c9b7d1cc": {
   "en": "Bearing Rigidity Formation Control",
   "zh": "方位刚性编队控制",
   "level": "l3"
  },
  "CAP_033bfe77": {
   "en": "Formation-Object Coupled Constrained Optimization for Transport",
   "zh": "编队-物体耦合约束优化搬运",
   "level": "l3"
  },
  "CAP_2fd1105a": {
   "en": "Closed-Chain Rigid Formation Transport Coordination",
   "zh": "闭链刚性编队搬运协调",
   "level": "l3"
  },
  "CAP_2b3eb2e2": {
   "en": "MTC Staged Grasp Execution",
   "zh": "MTC 阶段化抓取执行",
   "level": "l2"
  },
  "CAP_22dfb8a3": {
   "en": "Stage Plan Execution",
   "zh": "Stage 求解执行",
   "level": "l3"
  },
  "CAP_6eaf7366": {
   "en": "MoveIt2 Semantic Loading And Planning",
   "zh": "MoveIt2 语义加载与运动规划",
   "level": "l3"
  },
  "CAP_6e98bc26": {
   "en": "Grasp-MPC Continuous Correction",
   "zh": "Grasp-MPC 连续修正",
   "level": "l3"
  },
  "CAP_3ac8112d": {
   "en": "Multi-view Grasp Execution",
   "zh": "多视角抓取执行",
   "level": "l3"
  },
  "CAP_f7a3b2c1": {
   "en": "End-to-End VLA Grasp Execution",
   "zh": "端到端 VLA 抓取执行",
   "level": "l2"
  },
  "CAP_d618babe": {
   "en": "VLA Action Inference and Execution",
   "zh": "VLA动作推理与执行",
   "level": "l3"
  },
  "CAP_43275222": {
   "en": "Closed-Loop VLA Grasp Execution",
   "zh": "闭环VLA抓取执行",
   "level": "l3"
  },
  "CAP_408ed2cc": {
   "en": "Risk Management File Compilation",
   "zh": "风险管理文件汇编与条款映射",
   "level": "l3"
  },
  "CAP_0eebbec5": {
   "en": "Risk Report Compliance Self-check",
   "zh": "风险评估报告合规自检与签署基线化",
   "level": "l3"
  },
  "CAP_398db9f6": {
   "en": "AIAG-VDA FMEA Worksheet Structuring",
   "zh": "AIAG-VDA FMEA 七步法工作表结构化生成",
   "level": "l3"
  },
  "CAP_d84afdad": {
   "en": "Risk Register Maintenance",
   "zh": "风险登记册/危害日志维护",
   "level": "l3"
  },
  "CAP_0af5dc9f": {
   "en": "Risk State Machine Tracking",
   "zh": "风险状态机与演变跟踪记录",
   "level": "l3"
  },
  "CAP_e2121c38": {
   "en": "Machinery Risk Matrix Assessment",
   "zh": "机械整机风险矩阵评估",
   "level": "l2"
  },
  "CAP_de88516b": {
   "en": "Machinery Limit Determination",
   "zh": "机器限制确定",
   "level": "l3"
  },
  "CAP_c9b919ef": {
   "en": "Machinery Injury Severity Estimation",
   "zh": "机械伤害严重度估计",
   "level": "l3"
  },
  "CAP_e2a981ce": {
   "en": "Machinery Exposure Frequency Estimation",
   "zh": "机械暴露频度估计",
   "level": "l3"
  },
  "CAP_beabe596": {
   "en": "Machinery Risk Matrix Locating",
   "zh": "机械风险矩阵定位",
   "level": "l3"
  },
  "CAP_5164d5dc": {
   "en": "Machinery Risk Evaluation",
   "zh": "机械风险评定",
   "level": "l3"
  },
  "CAP_5e1befcb": {
   "en": "ISO 15066 Force Limit Extraction",
   "zh": "ISO 15066力限值提取",
   "level": "l3"
  },
  "CAP_6b2ce0aa": {
   "en": "Medical Device Risk Matrix",
   "zh": "医疗器械风险矩阵",
   "level": "l2"
  },
  "CAP_75362a65": {
   "en": "Medical Injury Severity Grading",
   "zh": "医疗损害严重度分级",
   "level": "l3"
  },
  "CAP_990ce5af": {
   "en": "Medical Occurrence Probability Estimation",
   "zh": "医疗发生概率估计",
   "level": "l3"
  },
  "CAP_ffa31f1d": {
   "en": "Medical Risk Acceptability Matrix",
   "zh": "医疗风险可接受性矩阵",
   "level": "l3"
  },
  "CAP_a5289e2c": {
   "en": "SIL Risk Graph Assessment",
   "zh": "SIL 风险图评估",
   "level": "l2"
  },
  "CAP_d1e34d66": {
   "en": "SIL Determination via Risk Graph",
   "zh": "风险图法确定 SIL",
   "level": "l3"
  },
  "CAP_431e9da3": {
   "en": "ASIL HARA Determination",
   "zh": "ASIL HARA 确定",
   "level": "l3"
  },
  "CAP_e51afddf": {
   "en": "Safety Integrity Allocation",
   "zh": "安全完整性等级分配",
   "level": "l3"
  },
  "CAP_e34bca8a": {
   "en": "Integrity Verification and Certification",
   "zh": "完整性验证与认证",
   "level": "l3"
  },
  "CAP_1194f74e": {
   "en": "Contact Risk Assessment and Threshold Lookup",
   "zh": "接触风险评估与阈值查表",
   "level": "l2"
  },
  "CAP_fc6d7ef5": {
   "en": "Inherently Safe Design Parameter Setting and PFL",
   "zh": "本质安全设计参数设定与PFL实现",
   "level": "l2"
  },
  "CAP_32a6232f": {
   "en": "PFL Contact Force Measurement and Acceptance",
   "zh": "PFL接触力测量与限值验收",
   "level": "l2"
  },
  "CAP_7e4aac89": {
   "en": "Six-Axis F/T Contact Perception Pipeline",
   "zh": "六轴F/T接触感知流水线",
   "level": "l3"
  },
  "CAP_d66ed87f": {
   "en": "Inherently Safe Design Parameter Setting",
   "zh": "本质安全设计参数设定",
   "level": "l3"
  },
  "CAP_fd0a13e5": {
   "en": "Safety Function Selection and SSM",
   "zh": "安全功能选择与SSM分层限速",
   "level": "l2"
  },
  "CAP_aba82613": {
   "en": "Safety Control PL Verification and Acceptance",
   "zh": "安全控制PL验证与验收",
   "level": "l2"
  },
  "CAP_09972ae6": {
   "en": "Safety Distance and Zone Design",
   "zh": "防护区域与安全距离设计",
   "level": "l3"
  },
  "CAP_8690afa9": {
   "en": "Robot Safety Function Selection",
   "zh": "机器人安全功能选择与编排",
   "level": "l3"
  },
  "CAP_d7a898fb": {
   "en": "Machinery Safety Function Requirement Spec",
   "zh": "机械安全功能需求规格",
   "level": "l3"
  },
  "CAP_fb32ce05": {
   "en": "Collaborative Robot STO Acceptance Test",
   "zh": "协作机器人 STO 验收测试",
   "level": "l3"
  },
  "CAP_f59f1df6": {
   "en": "Robot Safety Function Acceptance Test Suite",
   "zh": "机器人安全功能验收测试套件",
   "level": "l3"
  },
  "CAP_a8adebbc": {
   "en": "Warning Need Identification and Signal Word",
   "zh": "警示需求确定与信号词选择",
   "level": "l2"
  },
  "CAP_812f0a9f": {
   "en": "Safety Sign and Label Layout Design",
   "zh": "安全标志与标签版式设计",
   "level": "l2"
  },
  "CAP_787296a3": {
   "en": "Instruction Handbook Compilation and Verification",
   "zh": "说明书编制与可理解性验证",
   "level": "l2"
  },
  "CAP_47fabac8": {
   "en": "Residual Risk Warning Need Identification",
   "zh": "残余风险警示需求确定",
   "level": "l3"
  },
  "CAP_f3639d3d": {
   "en": "Warning Signal Word Selection",
   "zh": "警示信号词选择",
   "level": "l3"
  },
  "CAP_0b87cafb": {
   "en": "Safety Sign and Symbol Design",
   "zh": "安全标志与符号设计",
   "level": "l3"
  },
  "CAP_44c19f51": {
   "en": "Product Safety Label Layout Design",
   "zh": "产品安全标签版式设计",
   "level": "l3"
  },
  "CAP_03b971f8": {
   "en": "Instruction Handbook Compilation",
   "zh": "使用说明书编制",
   "level": "l3"
  },
  "CAP_742b5e86": {
   "en": "Warning Comprehensibility Verification",
   "zh": "警示可理解性验证",
   "level": "l3"
  },
  "CAP_0715183b": {
   "en": "Geometric Safety Set Planning",
   "zh": "几何安全集规划",
   "level": "l2"
  },
  "CAP_381565d9": {
   "en": "Robust Risk Penalty Generation",
   "zh": "鲁棒风险惩罚生成",
   "level": "l2"
  },
  "CAP_8fd76cde": {
   "en": "Risk-Sensitive Trajectory Optimization",
   "zh": "风险敏感轨迹优化",
   "level": "l2"
  },
  "CAP_250679f6": {
   "en": "Obstacle Distance Field Construction",
   "zh": "障碍物距离场构建",
   "level": "l3"
  },
  "CAP_427a4da0": {
   "en": "Geometric CBF Safety Set Construction",
   "zh": "几何控制屏障函数安全集构造",
   "level": "l3"
  },
  "CAP_a0ab3311": {
   "en": "Robust CBF Dynamics Modeling",
   "zh": "鲁棒控制屏障函数动力学建模",
   "level": "l3"
  },
  "CAP_3148341f": {
   "en": "Robust CBF Risk Penalty",
   "zh": "鲁棒控制屏障函数风险惩罚",
   "level": "l3"
  },
  "CAP_1d1eec58": {
   "en": "Risk-Sensitive MPC Solver",
   "zh": "风险敏感模型预测控制求解器",
   "level": "l3"
  },
  "CAP_2696dd36": {
   "en": "Probabilistic Risk Mapping",
   "zh": "概率风险图构建",
   "level": "l2"
  },
  "CAP_3109e5d9": {
   "en": "Stochastic Trajectory Propagation",
   "zh": "随机轨迹传播",
   "level": "l2"
  },
  "CAP_64932005": {
   "en": "Risk-Sensitive Cost Integration",
   "zh": "风险敏感成本集成",
   "level": "l2"
  },
  "CAP_40d0f729": {
   "en": "Stochastic Receding-Horizon Control",
   "zh": "随机滚动时域控制",
   "level": "l2"
  },
  "CAP_bddd6ec3": {
   "en": "Continuous Risk Map Construction",
   "zh": "连续风险图构建",
   "level": "l3"
  },
  "CAP_cafa276c": {
   "en": "GPU Accelerated Stochastic Propagation",
   "zh": "GPU加速随机传播",
   "level": "l3"
  },
  "CAP_2bde135e": {
   "en": "CVaR Risk Cost Integration",
   "zh": "条件风险价值成本集成",
   "level": "l3"
  },
  "CAP_786907d9": {
   "en": "Stochastic MPC Solver",
   "zh": "随机模型预测控制求解器",
   "level": "l3"
  },
  "CAP_7c9c6b82": {
   "en": "Ambiguity Set Construction",
   "zh": "分布歧义集构建",
   "level": "l2"
  },
  "CAP_9d953898": {
   "en": "DRO Risk-Sensitive Optimization Orchestration",
   "zh": "分布鲁棒风险敏感优化编排",
   "level": "l2"
  },
  "CAP_b73b3744": {
   "en": "Diffusion Risk-Sensitive Policy Orchestration",
   "zh": "扩散风险敏感策略编排",
   "level": "l2"
  },
  "CAP_42bbab4f": {
   "en": "Online Risk Adaptation Orchestration",
   "zh": "在线风险自适应编排",
   "level": "l2"
  },
  "CAP_cb4ddf7a": {
   "en": "Wasserstein Ambiguity Set Construction",
   "zh": "Wasserstein分布歧义集构建",
   "level": "l3"
  },
  "CAP_53a5c9db": {
   "en": "DRO Risk-Sensitive Optimization",
   "zh": "分布鲁棒风险敏感优化求解",
   "level": "l3"
  },
  "CAP_fa530384": {
   "en": "Diffusion Risk-Sensitive Policy",
   "zh": "扩散风险敏感策略生成",
   "level": "l3"
  },
  "CAP_b4335808": {
   "en": "Online Risk Adaptation",
   "zh": "在线风险自适应调整",
   "level": "l3"
  },
  "CAP_cb3cb312": {
   "en": "Distributional Value Network Construction",
   "zh": "分布式值网络构建",
   "level": "l3"
  },
  "CAP_19b8c1cf": {
   "en": "Gaussian Value Distribution Update",
   "zh": "高斯值分布更新",
   "level": "l3"
  },
  "CAP_ec81c8b0": {
   "en": "Risk-Aware CEM Action Selection",
   "zh": "风险感知CEM动作选择",
   "level": "l3"
  },
  "CAP_772bca3c": {
   "en": "EVaR Dual Gradient Estimation",
   "zh": "EVaR对偶梯度估计",
   "level": "l3"
  },
  "CAP_10979d13": {
   "en": "Entropic Bellman-Compatible RL Pipeline",
   "zh": "熵正则Bellman兼容RL流水线",
   "level": "l2"
  },
  "CAP_da71dab8": {
   "en": "Risk-Transformed TD Target Computation",
   "zh": "风险变换TD目标计算",
   "level": "l3"
  },
  "CAP_24b218ae": {
   "en": "Offline Pessimistic Entropic Value Iteration",
   "zh": "离线悲观熵正则值迭代",
   "level": "l3"
  },
  "CAP_7dd23504": {
   "en": "Risk-Sensitive Value Readout",
   "zh": "风险敏感值读出",
   "level": "l2"
  },
  "CAP_54da2d9e": {
   "en": "Distributional Bellman Update",
   "zh": "分布式Bellman更新",
   "level": "l2"
  },
  "CAP_900f92b0": {
   "en": "Distortion Risk Action Selection",
   "zh": "失真风险动作选择",
   "level": "l3"
  },
  "CAP_8bae80cf": {
   "en": "Distribution Mean Action Selection",
   "zh": "分布均值动作选择",
   "level": "l3"
  },
  "CAP_30f507e9": {
   "en": "Distributional Bellman Projection",
   "zh": "分布式Bellman投影",
   "level": "l3"
  },
  "CAP_aef21a95": {
   "en": "Q-Network Bellman Training",
   "zh": "Q网络Bellman训练",
   "level": "l3"
  },
  "CAP_d6fc879f": {
   "en": "IQL Expectile Critic Training",
   "zh": "IQL期望分位Critic训练",
   "level": "l3"
  },
  "CAP_cfde55be": {
   "en": "Simulated Preference RLHF Pipeline",
   "zh": "仿真偏好强化学习流水线",
   "level": "l2"
  },
  "CAP_c34a205d": {
   "en": "Unsupervised Policy Pre Exploration",
   "zh": "无监督策略预探索",
   "level": "l3"
  },
  "CAP_8750f270": {
   "en": "VLA Trajectory Preference Alignment",
   "zh": "VLA 轨迹偏好对齐",
   "level": "l3"
  },
  "CAP_c115e61d": {
   "en": "Process Reward Model Training",
   "zh": "过程奖励模型训练",
   "level": "l3"
  },
  "CAP_f669090e": {
   "en": "Bioenergetics Natural Reward Design",
   "zh": "生物能量学自然奖励设计",
   "level": "l3"
  },
  "CAP_869b6f8c": {
   "en": "Gait Timing Reference & Contact Schedule Generation",
   "zh": "步态时序参考与接触调度生成",
   "level": "l3"
  },
  "CAP_a034e7b3": {
   "en": "Privileged Environment State Randomization",
   "zh": "特权环境状态随机化",
   "level": "l3"
  },
  "CAP_9157047c": {
   "en": "High-Frequency Adaptive Gait Inference",
   "zh": "高频自适应步态推理",
   "level": "l3"
  },
  "CAP_52d2aab7": {
   "en": "Road Feature Extraction (Image-based)",
   "zh": "图像空间道路要素提取",
   "level": "l2"
  },
  "CAP_49fde4c4": {
   "en": "Image-to-World Coordinate Lifting",
   "zh": "图像到世界坐标抬升",
   "level": "l3"
  },
  "CAP_da8ad955": {
   "en": "Monocular 3D Lane Detection",
   "zh": "单目3D车道检测",
   "level": "l3"
  },
  "CAP_7f286b70": {
   "en": "Multi-Frame Road Feature Accumulation",
   "zh": "多帧道路特征聚合",
   "level": "l3"
  },
  "CAP_706dd9f0": {
   "en": "Road Element Vectorization",
   "zh": "道路要素矢量化",
   "level": "l3"
  },
  "CAP_d0062af2": {
   "en": "Surround Sensor Synchronization",
   "zh": "环视传感器同步",
   "level": "l3"
  },
  "CAP_86e1a9fb": {
   "en": "Vectorized Map Element Regression",
   "zh": "矢量化地图要素回归",
   "level": "l3"
  },
  "CAP_e09ff9fd": {
   "en": "Local Map Consistency",
   "zh": "局部地图一致性",
   "level": "l3"
  },
  "CAP_789fcb17": {
   "en": "Vectorized Map Element Output",
   "zh": "矢量化地图要素输出",
   "level": "l3"
  },
  "CAP_4469c718": {
   "en": "Road Feature Extraction (Point Cloud)",
   "zh": "点云道路要素提取",
   "level": "l2"
  },
  "CAP_9b4ce837": {
   "en": "Road Element Extraction (Point Cloud)",
   "zh": "点云道路要素提取",
   "level": "l3"
  },
  "CAP_3eb206c2": {
   "en": "Curb & Road Boundary Extraction",
   "zh": "路沿与道路边界提取",
   "level": "l3"
  },
  "CAP_021fecbc": {
   "en": "Lane Line & Road Marking Extraction",
   "zh": "车道线与路面标线提取",
   "level": "l3"
  },
  "CAP_108e2b92": {
   "en": "Pole-like Object Extraction",
   "zh": "杆状物提取",
   "level": "l3"
  },
  "CAP_745897d0": {
   "en": "3D Vectorized Element Output",
   "zh": "3D矢量化要素输出",
   "level": "l3"
  },
  "CAP_fc1a3472": {
   "en": "EKF Multi-Sensor Localization",
   "zh": "扩展卡尔曼滤波多源融合定位",
   "level": "l3"
  },
  "CAP_0bdf3430": {
   "en": "Lane-Level Route Planning",
   "zh": "车道级全局路由规划",
   "level": "l3"
  },
  "CAP_7543df4f": {
   "en": "Rule-Based Behavior Planning",
   "zh": "规则化行为规划",
   "level": "l2"
  },
  "CAP_894a0e66": {
   "en": "Lane Following Path Generation",
   "zh": "车道中心线参考路径生成",
   "level": "l3"
  },
  "CAP_1fb3b69e": {
   "en": "Traffic-Rule Velocity Planning",
   "zh": "基于交通规则的速度规划",
   "level": "l3"
  },
  "CAP_3898e766": {
   "en": "MPC Lateral Control",
   "zh": "模型预测横向控制",
   "level": "l3"
  },
  "CAP_454c8d6f": {
   "en": "GNSS-IMU Fusion Localization",
   "zh": "GNSS-IMU融合定位",
   "level": "l2"
  },
  "CAP_f84379da": {
   "en": "RTK-GNSS Dual-Antenna Heading Estimation",
   "zh": "RTK双天线绝对航向估计",
   "level": "l3"
  },
  "CAP_fc81414a": {
   "en": "GPS Waypoint Reference Path Definition",
   "zh": "GPS航点参考路径生成",
   "level": "l3"
  },
  "CAP_b3b4842a": {
   "en": "Geometric Path Tracking Control",
   "zh": "几何路径跟踪控制",
   "level": "l2"
  },
  "CAP_35a7572f": {
   "en": "Stanley Lateral Control",
   "zh": "Stanley横向反馈控制",
   "level": "l3"
  },
  "CAP_c374f80c": {
   "en": "Front Camera Image Preprocessing",
   "zh": "前向相机图像预处理与增强",
   "level": "l3"
  },
  "CAP_d08e93bd": {
   "en": "CNN Steering Angle Prediction",
   "zh": "CNN转向角预测",
   "level": "l3"
  },
  "CAP_7eb55931": {
   "en": "RL Coach Supervised End-to-End Driving",
   "zh": "RL教练监督端到端驾驶",
   "level": "l3"
  },
  "CAP_74ee27be": {
   "en": "Egocentric Video Pretraining Dataset Curation",
   "zh": "第一人称视频预训练数据集构建",
   "level": "l3"
  },
  "CAP_84982613": {
   "en": "Backbone Domain Adaptation",
   "zh": "骨干领域适配",
   "level": "l3"
  },
  "CAP_96b7df74": {
   "en": "Ego4D Video-Language Dataset Curation",
   "zh": "第一人称视频语言数据集构建",
   "level": "l3"
  },
  "CAP_655435f8": {
   "en": "Time-Contrastive Video Pretraining",
   "zh": "时序对比视频预训练",
   "level": "l3"
  },
  "CAP_cc550452": {
   "en": "Video Language Alignment",
   "zh": "视频-语言对齐",
   "level": "l3"
  },
  "CAP_3504cefb": {
   "en": "Captioned Egocentric Video Dataset Curation",
   "zh": "带字幕第一人称视频数据集构建",
   "level": "l3"
  },
  "CAP_ee1a11f4": {
   "en": "Language Conditioned Masked Reconstruction",
   "zh": "语言条件掩码重建",
   "level": "l3"
  },
  "CAP_02f8fdc5": {
   "en": "ViT and Language Encoder Initialization",
   "zh": "ViT 与语言编码器初始化",
   "level": "l3"
  },
  "CAP_223d90bf": {
   "en": "Voltron Five-Problem Representation Evaluation",
   "zh": "Voltron 五问题表征评测",
   "level": "l3"
  },
  "CAP_d050c2ed": {
   "en": "Normalizing Flow OOD Severity Routing",
   "zh": "归一化流异常严重度分级路由",
   "level": "l3"
  },
  "CAP_45d52ffd": {
   "en": "Task-Level OOD Replanning Dispatch",
   "zh": "任务级 OOD 重规划派发",
   "level": "l3"
  },
  "CAP_70725382": {
   "en": "State-Level OOD Rollback Dispatch",
   "zh": "状态级 OOD 回滚派发",
   "level": "l3"
  },
  "CAP_1cbdbf03": {
   "en": "OOD Corrective Action Dispatch",
   "zh": "OOD 纠正动作派发",
   "level": "l3"
  },
  "CAP_bcfad004": {
   "en": "Policy Output Runtime Monitoring",
   "zh": "策略输出运行时监控",
   "level": "l2"
  },
  "CAP_e1375db0": {
   "en": "Observation OOD Detection via Random Network Distillation",
   "zh": "随机网络蒸馏观测 OOD 检测（RND-OE）",
   "level": "l3"
  },
  "CAP_5fe38d1a": {
   "en": "Multi-Signal Joint Failure Decision",
   "zh": "多信号联合故障判定",
   "level": "l3"
  },
  "CAP_ad11d2c2": {
   "en": "Anomaly Alarm Trigger",
   "zh": "异常告警触发",
   "level": "l3"
  },
  "CAP_ccd6f75f": {
   "en": "Safety Intervention Dispatch",
   "zh": "安全干预派发",
   "level": "l3"
  },
  "CAP_036fa0e3": {
   "en": "Modality-Specific Tokenization and Cross-Embodiment Token Assembly",
   "zh": "模态专属分词与跨本体 token 序列组装",
   "level": "l3"
  },
  "CAP_5b79204e": {
   "en": "Post-Training High-Quality FT",
   "zh": "后训练精选配方微调",
   "level": "l3"
  },
  "CAP_b4952484": {
   "en": "Verbal Instruction Web Data Co-Finetuning",
   "zh": "VLA 知识绝缘微调",
   "level": "l3"
  },
  "CAP_b2a86d2d": {
   "en": "VLM Backbone Loading for Flow",
   "zh": "流匹配 VLM 基座加载",
   "level": "l3"
  },
  "CAP_0b7772d5": {
   "en": "Robotic Facial Expression Generation",
   "zh": "机器人面部表情生成",
   "level": "l2"
  },
  "CAP_79ee94b3": {
   "en": "Display-Based Expression Rendering",
   "zh": "显示屏/LED阵列表情渲染",
   "level": "l3"
  },
  "CAP_5da35781": {
   "en": "Discrete Expression Selection",
   "zh": "离散表情选择",
   "level": "l3"
  },
  "CAP_3c030f7e": {
   "en": "Valence-Arousal Expression Parameterization",
   "zh": "VA连续表情参数化",
   "level": "l3"
  },
  "CAP_2b6474fa": {
   "en": "Display Frame Generation",
   "zh": "显示帧生成",
   "level": "l3"
  },
  "CAP_7664bb4a": {
   "en": "LED Display Scan Rendering",
   "zh": "LED/OLED扫描渲染",
   "level": "l3"
  },
  "CAP_094ebe94": {
   "en": "Mechanical Actuator Expression Mapping",
   "zh": "机械执行器表情映射",
   "level": "l3"
  },
  "CAP_1cc86dc4": {
   "en": "FACS AU Actuator Position Mapping",
   "zh": "FACS AU执行器位置映射",
   "level": "l3"
  },
  "CAP_b67d456b": {
   "en": "Procedural Decaying Wave Synthesis",
   "zh": "程序化衰减波合成",
   "level": "l3"
  },
  "CAP_4b62528d": {
   "en": "Servo Motor Drive Control",
   "zh": "伺服电机驱动控制",
   "level": "l3"
  },
  "CAP_aa56c6e4": {
   "en": "Learning-Based Expression Retargeting",
   "zh": "学习型表情重定向",
   "level": "l3"
  },
  "CAP_3b53eb33": {
   "en": "Human Expression Feature Extraction",
   "zh": "人类表情特征提取",
   "level": "l3"
  },
  "CAP_bbca0a00": {
   "en": "Learned Expression Mapping Inference",
   "zh": "学习型表情映射推理",
   "level": "l3"
  },
  "CAP_b2c9fb11": {
   "en": "Robot Manipulation Data Collection",
   "zh": "机器人操作数据采集",
   "level": "l3"
  },
  "CAP_72556157": {
   "en": "Policy Training and Evaluation Pipeline",
   "zh": "策略训练与评估管线",
   "level": "l2"
  },
  "CAP_70c50e6a": {
   "en": "Data Collection Strategy Optimization",
   "zh": "数据采集策略优化",
   "level": "l3"
  },
  "CAP_d32bb0cf": {
   "en": "Validation Loss Measurement",
   "zh": "验证损失测量",
   "level": "l3"
  },
  "CAP_f841ef53": {
   "en": "Robotic Scaling Coefficient Analysis",
   "zh": "机器人域缩放系数分析",
   "level": "l3"
  },
  "CAP_393a8b52": {
   "en": "Test-Time Compute Scaling for VLA",
   "zh": "VLA 推理时计算缩放",
   "level": "l2"
  },
  "CAP_9cf2e3f6": {
   "en": "Synthetic Action Preference Generation",
   "zh": "合成动作偏好生成",
   "level": "l3"
  },
  "CAP_64db0c65": {
   "en": "VLM-Based Action Verification",
   "zh": "VLM 动作验证",
   "level": "l3"
  },
  "CAP_a4d94046": {
   "en": "Action Proposal Distribution Construction",
   "zh": "动作提案分布构建",
   "level": "l3"
  },
  "CAP_77159b81": {
   "en": "Test-Time Scaling Law Fitting",
   "zh": "推理时缩放律拟合",
   "level": "l3"
  },
  "CAP_d839d9f8": {
   "en": "Audio-Text Rhythm-Content Encoding",
   "zh": "音频-文本节奏内容编码",
   "level": "l3"
  },
  "CAP_8493b887": {
   "en": "Laban Effort-Shape to Robot Trajectory",
   "zh": "Laban 参数到机器人轨迹合成",
   "level": "l3"
  },
  "CAP_cd062511": {
   "en": "CLIP-Guided Latent Diffusion Gesture Synthesis",
   "zh": "CLIP 引导潜扩散风格化手势合成",
   "level": "l3"
  },
  "CAP_bff07c9c": {
   "en": "Motion Optical Flow Pretext",
   "zh": "运动光流预测前置",
   "level": "l2"
  },
  "CAP_05344664": {
   "en": "Temporal Structural Pretext",
   "zh": "时序结构判别前置",
   "level": "l2"
  },
  "CAP_55ff1405": {
   "en": "In-the-Wild Image Collection for Pretraining",
   "zh": "预训练用真实世界图像采集",
   "level": "l3"
  },
  "CAP_b606b266": {
   "en": "Ego Video Frame Curation",
   "zh": "第一人称视频帧采集与对齐",
   "level": "l3"
  },
  "CAP_04d9896c": {
   "en": "Optical Flow Latent Action",
   "zh": "光流潜在动作提取前置",
   "level": "l3"
  },
  "CAP_8813cec4": {
   "en": "Spatio Temporal Statistics Pretext",
   "zh": "时空统计摘要前置",
   "level": "l3"
  },
  "CAP_358b940c": {
   "en": "LED State Pose Pretext",
   "zh": "LED状态分类位姿前置",
   "level": "l3"
  },
  "CAP_de89ee7f": {
   "en": "Robot Endpoint Protection Pre-Deployment Assessment",
   "zh": "机器人端点防护前置评估",
   "level": "l2"
  },
  "CAP_6355dc1b": {
   "en": "Robot Endpoint Protection Suite Integration",
   "zh": "机器人端点防护套件集成",
   "level": "l2"
  },
  "CAP_3e808912": {
   "en": "Robot Endpoint Protection Continuous Operations",
   "zh": "机器人端点防护持续运维",
   "level": "l2"
  },
  "CAP_453599b9": {
   "en": "Robot Controller Footprinting",
   "zh": "机器人控制器 Footprinting",
   "level": "l3"
  },
  "CAP_9e8d00c8": {
   "en": "RSF Four-Layer Attack Surface Mapping",
   "zh": "RSF 四层攻击面映射",
   "level": "l3"
  },
  "CAP_dcd6f142": {
   "en": "RIS Endpoint Agent Deployment",
   "zh": "RIS 端点代理部署",
   "level": "l3"
  },
  "CAP_97f5ccac": {
   "en": "Robot Known-Flaw Hardening (RIS)",
   "zh": "机器人已知缺陷加固（RIS）",
   "level": "l3"
  },
  "CAP_6c984171": {
   "en": "Robot Threat Prevention Module Configuration",
   "zh": "机器人威胁防护模块配置",
   "level": "l3"
  },
  "CAP_44048318": {
   "en": "Robot Data Protection & Firewall Module Setup",
   "zh": "机器人数据保护与防火墙模块配置",
   "level": "l3"
  },
  "CAP_1973dfe5": {
   "en": "RIS Adaptive Update Management",
   "zh": "RIS 自适应更新管理",
   "level": "l3"
  },
  "CAP_22ff2f5c": {
   "en": "Robot Endpoint Security Monitoring & Alerting",
   "zh": "机器人端点安全监控与告警",
   "level": "l3"
  },
  "CAP_ee59a499": {
   "en": "Robot Endpoint Incident Response",
   "zh": "机器人端点事件响应",
   "level": "l3"
  },
  "CAP_0ba3102c": {
   "en": "Zero-Day Robot Malware Static Pre-Execution Analysis",
   "zh": "零日机器人恶意软件静态预执行分析",
   "level": "l2"
  },
  "CAP_0f12d177": {
   "en": "Robot Runtime State Monitoring & Baseline Learning",
   "zh": "机器人运行时状态监控与基线学习",
   "level": "l2"
  },
  "CAP_ae8f9334": {
   "en": "Static-Runtime Fusion Detection & Alerting",
   "zh": "静态-运行时融合检测与告警",
   "level": "l2"
  },
  "CAP_752a04ad": {
   "en": "Robot Software Static Feature Extraction",
   "zh": "机器人软件静态特征抽取",
   "level": "l3"
  },
  "CAP_9c14bea5": {
   "en": "Robot Pre-Execution Threat Profiling",
   "zh": "机器人预执行威胁画像",
   "level": "l3"
  },
  "CAP_662a3e24": {
   "en": "Robot Runtime Channel Instrumentation",
   "zh": "机器人运行时监控通道插桩",
   "level": "l3"
  },
  "CAP_ca46d63f": {
   "en": "Robot Power-Consumption Side-Channel Monitoring",
   "zh": "机器人功率消耗侧信道监控",
   "level": "l3"
  },
  "CAP_ef46367c": {
   "en": "Robot Software-State Runtime Monitoring",
   "zh": "机器人软件状态运行时监控",
   "level": "l3"
  },
  "CAP_25c3bd8c": {
   "en": "Static-Runtime Fusion Zero-Day Detection",
   "zh": "静态-运行时融合零日检测",
   "level": "l3"
  },
  "CAP_8b38daf4": {
   "en": "Robot Real-time Attack Alerting & Response",
   "zh": "机器人实时攻击告警与响应",
   "level": "l3"
  },
  "CAP_86a00d75": {
   "en": "Detection Model Update & Continuous Evaluation",
   "zh": "检测模型更新与持续评估",
   "level": "l3"
  },
  "CAP_33f5cd21": {
   "en": "Robot Malware Specimen Reverse Analysis",
   "zh": "机器人恶意软件标本逆向分析",
   "level": "l2"
  },
  "CAP_e852dbc6": {
   "en": "Robot Attack Chain Mapping",
   "zh": "机器人攻击链映射",
   "level": "l2"
  },
  "CAP_992a37f0": {
   "en": "RSF Assessment & Hardening Recommendation",
   "zh": "RSF 评估与加固建议",
   "level": "l2"
  },
  "CAP_eaa8dac9": {
   "en": "Robot Malware Specimen Acquisition & Isolation",
   "zh": "机器人恶意软件标本获取与隔离",
   "level": "l3"
  },
  "CAP_f89c0718": {
   "en": "Robot Malware Static Reverse Engineering",
   "zh": "机器人恶意软件静态逆向",
   "level": "l3"
  },
  "CAP_ba2b698b": {
   "en": "Robot Malware Dynamic Behavior Analysis",
   "zh": "机器人恶意软件动态行为分析",
   "level": "l3"
  },
  "CAP_47e99e3b": {
   "en": "Smart Malware ML Behavior Modeling",
   "zh": "自学习恶意软件 ML 行为建模",
   "level": "l3"
  },
  "CAP_c414e16b": {
   "en": "Traditional Malware Attack Flow Modeling",
   "zh": "传统恶意软件攻击流建模",
   "level": "l3"
  },
  "CAP_990c4840": {
   "en": "Unified Robot Attack Behavior Model",
   "zh": "统一机器人攻击行为模型",
   "level": "l3"
  },
  "CAP_6499a1b0": {
   "en": "RSF Four-Layer Attack Surface Assessment",
   "zh": "RSF 四层攻击面评估",
   "level": "l3"
  },
  "CAP_d22923fb": {
   "en": "Robot Hardening Recommendation Generation",
   "zh": "机器人加固建议生成",
   "level": "l3"
  },
  "CAP_9cdbe68c": {
   "en": "Multi-Modal Fusion Anti-Degradation Odometry",
   "zh": "多模态融合抗退化里程计",
   "level": "l2"
  },
  "CAP_f7828727": {
   "en": "Belief-Space Uncertainty Risk Planning",
   "zh": "信念空间不确定性风险规划",
   "level": "l2"
  },
  "CAP_9d0cc2b2": {
   "en": "Lifelong Change-Robust Localization",
   "zh": "终身变化鲁棒定位",
   "level": "l2"
  },
  "CAP_c2282f9a": {
   "en": "LiDAR Geometric Degeneracy Sensing",
   "zh": "激光几何退化感知",
   "level": "l3"
  },
  "CAP_ef860563": {
   "en": "Adverse Weather Point Cloud Denoising",
   "zh": "恶劣天气点云去噪",
   "level": "l3"
  },
  "CAP_0db8414e": {
   "en": "Multi-Modal Degradation-Aware Fusion",
   "zh": "多模态退化感知融合",
   "level": "l3"
  },
  "CAP_2a26fc3a": {
   "en": "Factor Graph Tight Coupling Smoothing",
   "zh": "因子图紧耦合平滑",
   "level": "l3"
  },
  "CAP_5d5ba39e": {
   "en": "EKF State Fusion and Pose Output",
   "zh": "EKF状态融合与位姿输出",
   "level": "l3"
  },
  "CAP_c3fefb6b": {
   "en": "Belief and Pose Uncertainty Representation",
   "zh": "信念与位姿不确定性表示",
   "level": "l3"
  },
  "CAP_925f83c9": {
   "en": "Risk-Aware Local Trajectory Execution",
   "zh": "风险感知局部轨迹执行",
   "level": "l3"
  },
  "CAP_fb0dc2c9": {
   "en": "Feature-Based VO Navigation Pipeline",
   "zh": "特征法几何 VO 导航流水线",
   "level": "l3"
  },
  "CAP_ac3a4bf1": {
   "en": "Appearance-Based Loop Closure Detection",
   "zh": "外观闭环检测",
   "level": "l3"
  },
  "CAP_688c2778": {
   "en": "Multi-Session Memory Management",
   "zh": "多会话记忆管理",
   "level": "l3"
  },
  "CAP_2d6672a0": {
   "en": "Change-Aware Map Maintenance",
   "zh": "变化感知地图维护",
   "level": "l3"
  },
  "CAP_8b9a3a1d": {
   "en": "Lifelong Localization Pose Output",
   "zh": "终身定位位姿输出",
   "level": "l3"
  },
  "CAP_5f4ef807": {
   "en": "Superpixel Self-Supervised Labeling",
   "zh": "超像素自监督标注",
   "level": "l3"
  },
  "CAP_e285c166": {
   "en": "Elevation Map Cost Projection",
   "zh": "高程图代价投影",
   "level": "l3"
  },
  "CAP_d72aca8f": {
   "en": "Traversability-Aware Planning",
   "zh": "可通行性感知规划",
   "level": "l3"
  },
  "CAP_dc315a0d": {
   "en": "Robustness Envelope Plan Synthesis",
   "zh": "鲁棒性包络计划合成",
   "level": "l2"
  },
  "CAP_44e5fd21": {
   "en": "Decoupled Envelope Anytime Computation",
   "zh": "Decoupled包络任意时刻计算",
   "level": "l3"
  },
  "CAP_1e1315ee": {
   "en": "Envelope-Bounded Dispatch Monitoring",
   "zh": "包络有界调度与偏离监视",
   "level": "l3"
  },
  "CAP_bde3582e": {
   "en": "Severity Tier Grading",
   "zh": "严重度等级判定",
   "level": "l3"
  },
  "CAP_3c05a0b9": {
   "en": "Executable Recovery Compilation",
   "zh": "可执行恢复编译",
   "level": "l3"
  },
  "CAP_d79d7434": {
   "en": "Outlier-Rejection Robust Distributed PGO",
   "zh": "离群点剔除鲁棒分布式位姿图优化",
   "level": "l2"
  },
  "CAP_e3e1a081": {
   "en": "Decentralized Communication-Resilient SLAM",
   "zh": "去中心化通信容错SLAM",
   "level": "l2"
  },
  "CAP_bac77fa6": {
   "en": "Local Visual-Inertial Odometry Estimation",
   "zh": "本地视觉惯性里程计估计",
   "level": "l3"
  },
  "CAP_bc53478c": {
   "en": "Geometric Verification via RANSAC",
   "zh": "RANSAC 几何验证",
   "level": "l3"
  },
  "CAP_ae73ec71": {
   "en": "Local SLAM Front-End for Distributed Pipeline",
   "zh": "分布式SLAM本地前端",
   "level": "l3"
  },
  "CAP_62d081d3": {
   "en": "Decentralized Neighbor Discovery and Tracking",
   "zh": "去中心化邻居发现与跟踪",
   "level": "l3"
  },
  "CAP_b79e16f6": {
   "en": "Minimum Vertex Cover Communication Optimization",
   "zh": "最小顶点覆盖通信优化",
   "level": "l3"
  },
  "CAP_69a712d1": {
   "en": "Leader Election and Concurrent PGO",
   "zh": "领导者选举与并发PGO",
   "level": "l3"
  },
  "CAP_52c0e991": {
   "en": "Robust Corridor Inflation by Tracking Error Bound",
   "zh": "跟踪误差界鲁棒走廊膨胀",
   "level": "l3"
  },
  "CAP_9849c14e": {
   "en": "Linear Inequality Constraint Injection",
   "zh": "线性不等式约束注入",
   "level": "l3"
  },
  "CAP_3f37b9df": {
   "en": "Quadrotor Trajectory Tracking Control",
   "zh": "四旋翼轨迹跟踪控制",
   "level": "l3"
  },
  "CAP_b7e4d3f2": {
   "en": "Disturbance Invariant Set Computation",
   "zh": "扰动不变集计算",
   "level": "l3"
  },
  "CAP_1fa3fecc": {
   "en": "Tube Shape Optimization for Anti-Conservatism",
   "zh": "抗保守性 Tube 形状优化",
   "level": "l3"
  },
  "CAP_e239fd2e": {
   "en": "Constraint Tightening by Tube",
   "zh": "tube 约束收紧",
   "level": "l3"
  },
  "CAP_4219258b": {
   "en": "Scaled-Symmetric ADMM Embedded Solver",
   "zh": "缩放对称 ADMM 嵌入式求解器",
   "level": "l3"
  },
  "CAP_9f8cdd8c": {
   "en": "Auxiliary Feedback Control for Tube Invariance",
   "zh": "维持 Tube 不变性的辅助反馈控制",
   "level": "l3"
  },
  "CAP_7e83bac5": {
   "en": "Safe Set Extraction and Invariance Verification",
   "zh": "安全集提取与不变性验证",
   "level": "l3"
  },
  "CAP_2095bade": {
   "en": "HJ Reachability Backup Safety Policy",
   "zh": "HJ 可达性兜底安全策略",
   "level": "l3"
  },
  "CAP_3ab55756": {
   "en": "HJ-SafeDMP Learned CBVF with Conformal Calibration",
   "zh": "HJ-SafeDMP 学习型 CBVF 与共形校准",
   "level": "l3"
  },
  "CAP_d9454584": {
   "en": "MPC with HJ Reachability Terminal Constraint",
   "zh": "HJ 可达性终端约束 MPC",
   "level": "l3"
  },
  "CAP_adfbc181": {
   "en": "Bounded-Uncertainty Robust Trajectory Optimization",
   "zh": "有界不确定性集鲁棒轨迹优化",
   "level": "l2"
  },
  "CAP_b996b0f1": {
   "en": "Robust Constraint Reformulation",
   "zh": "鲁棒约束SOCP重构",
   "level": "l3"
  },
  "CAP_e1f58440": {
   "en": "GPU-Accelerated Robust SOCP Solving",
   "zh": "GPU加速鲁棒SOCP求解",
   "level": "l3"
  },
  "CAP_415cf7b9": {
   "en": "cuNRTO Joint Nominal Control and Time-Varying Feedback Gain Optimization",
   "zh": "cuNRTO 联合名义控制与时变反馈增益优化",
   "level": "l3"
  },
  "CAP_e2cbdb5c": {
   "en": "RO Ellipsoidal Uncertainty Set Construction",
   "zh": "鲁棒优化椭球不确定性集构造",
   "level": "l3"
  },
  "CAP_d028b5a6": {
   "en": "PointCloudOdometryFusion",
   "zh": "点云与里程计融合",
   "level": "l3"
  },
  "CAP_c26a7ac6": {
   "en": "Kinodynamic A* Search with Pontryagin Heuristic",
   "zh": "运动动力学A*搜索与庞特里亚金启发式",
   "level": "l3"
  },
  "CAP_3cdfff97": {
   "en": "Sensor Data Acquisition and Synchronization",
   "zh": "传感器数据采集与同步",
   "level": "l3"
  },
  "CAP_64f5fab5": {
   "en": "Reachability-Based Robust Path Planning",
   "zh": "可达性TEB鲁棒路径规划",
   "level": "l2"
  },
  "CAP_acc70393": {
   "en": "Obstacle Augmentation by Error Bound",
   "zh": "跟踪误差界障碍膨胀",
   "level": "l3"
  },
  "CAP_d28c7a94": {
   "en": "Augmented-Space Path Planning",
   "zh": "膨胀空间路径规划",
   "level": "l3"
  },
  "CAP_b1da0b41": {
   "en": "Least-Restrictive Hybrid Tracking Control",
   "zh": "最小限制混合跟踪控制",
   "level": "l3"
  },
  "CAP_a0939344": {
   "en": "Disturbance-Feedback Affine Control Policy",
   "zh": "扰动反馈仿射控制策略",
   "level": "l3"
  },
  "CAP_ce9754a4": {
   "en": "Nominal MPC Receding Horizon",
   "zh": "名义MPC滚动时域",
   "level": "l3"
  },
  "CAP_531783b1": {
   "en": "M-Estimator Robust Kernel Batch Optimization",
   "zh": "M估计鲁棒核批量优化",
   "level": "l2"
  },
  "CAP_97c8abaa": {
   "en": "Explicit Per-Constraint Outlier Modeling",
   "zh": "显式逐约束离群建模",
   "level": "l2"
  },
  "CAP_f8386243": {
   "en": "Frontend Outlier Rejection Consensus Maximization",
   "zh": "前端外点剔除一致性最大化",
   "level": "l2"
  },
  "CAP_f095cdcf": {
   "en": "M-Estimator Robust Kernel Reweighting",
   "zh": "M估计鲁棒核重加权",
   "level": "l3"
  },
  "CAP_076f1b1b": {
   "en": "Switchable Constraints Outlier Modeling",
   "zh": "可切换约束离群建模",
   "level": "l3"
  },
  "CAP_ad362df3": {
   "en": "RANSAC Consensus Maximization",
   "zh": "RANSAC一致性最大化",
   "level": "l3"
  },
  "CAP_7585b80d": {
   "en": "Adaptive Kernel Local Bundle Adjustment",
   "zh": "自适应核局部光束平差",
   "level": "l3"
  },
  "CAP_4d45ce67": {
   "en": "Pose Graph Feature Residual Edge",
   "zh": "位姿图特征残差边",
   "level": "l3"
  },
  "CAP_a38b30ab": {
   "en": "NIS Consistency Monitoring",
   "zh": "NIS一致性监测",
   "level": "l3"
  },
  "CAP_7de58ea1": {
   "en": "Sensor Measurement Covariance Validation",
   "zh": "传感器测量协方差校验",
   "level": "l3"
  },
  "CAP_82d10259": {
   "en": "Robust TLS-GNC Optimization",
   "zh": "鲁棒TLS-GNC优化",
   "level": "l3"
  },
  "CAP_9e296098": {
   "en": "M-Estimator Robust Pose Estimation",
   "zh": "M估计鲁棒位姿估计",
   "level": "l3"
  },
  "CAP_e53f3995": {
   "en": "Predictive Filtering Robust Visual Servoing",
   "zh": "预测滤波鲁棒视觉伺服",
   "level": "l3"
  },
  "CAP_dbc96d1b": {
   "en": "Control-Theoretic Robust Visual Servoing",
   "zh": "控制论鲁棒视觉伺服",
   "level": "l3"
  },
  "CAP_dffc99b3": {
   "en": "Learned Point-Line Robust VO Pipeline",
   "zh": "学习型点线鲁棒VO流水线",
   "level": "l2"
  },
  "CAP_857ab8b3": {
   "en": "Line Segment Detection and Merging",
   "zh": "线段检测与合并",
   "level": "l3"
  },
  "CAP_4174d595": {
   "en": "Point-Line Association and Line Matching",
   "zh": "点线关联与线匹配",
   "level": "l3"
  },
  "CAP_c8959604": {
   "en": "Point-Line Joint Triangulation",
   "zh": "点线联合三角化",
   "level": "l3"
  },
  "CAP_ec179ce8": {
   "en": "Initial Pose Estimation with RANSAC",
   "zh": "RANSAC 初始位姿估计",
   "level": "l3"
  },
  "CAP_d1376228": {
   "en": "Keyframe Decision and Right Image Processing",
   "zh": "关键帧决策与右图处理",
   "level": "l3"
  },
  "CAP_f5c0895a": {
   "en": "Point-Line Local Bundle Adjustment",
   "zh": "点线局部束调整",
   "level": "l3"
  },
  "CAP_6a6ee899": {
   "en": "TensorRT FP16 Acceleration Deployment",
   "zh": "TensorRT 16位浮点加速部署",
   "level": "l3"
  },
  "CAP_e0936bf2": {
   "en": "Image Enhancement and Adaptive Weighting Robust VIO Pipeline",
   "zh": "图像增强与自适应加权鲁棒VIO流水线",
   "level": "l2"
  },
  "CAP_92ee8680": {
   "en": "Image Brightness Normalization Enhancement",
   "zh": "图像亮度归一化增强",
   "level": "l3"
  },
  "CAP_ca7f2efc": {
   "en": "Constraint-Protected Block Noise Removal",
   "zh": "带约束保护的块噪声去除",
   "level": "l3"
  },
  "CAP_5f8c9b43": {
   "en": "Visual Feature Layer Adaptive Weighting",
   "zh": "视觉特征层自适应加权",
   "level": "l3"
  },
  "CAP_519e2c4b": {
   "en": "Multisensor Layer Adaptive Weighting",
   "zh": "多传感器层自适应加权",
   "level": "l3"
  },
  "CAP_9771d1ab": {
   "en": "Two-Layer Confidence Maximization",
   "zh": "双层置信度最大化",
   "level": "l3"
  },
  "CAP_63da7176": {
   "en": "VINS Sliding Window Optimization",
   "zh": "VINS滑窗非线性优化",
   "level": "l3"
  },
  "CAP_c900911d": {
   "en": "Adaptive Robust Kernel Robust VO Pipeline",
   "zh": "自适应鲁棒核鲁棒VO流水线",
   "level": "l2"
  },
  "CAP_6f1b4748": {
   "en": "ORB Feature Extraction and Matching",
   "zh": "ORB特征提取与匹配",
   "level": "l3"
  },
  "CAP_6dd59779": {
   "en": "Semantic Dynamic Keypoint Filtering",
   "zh": "语义已知动态关键点滤除",
   "level": "l3"
  },
  "CAP_8717d294": {
   "en": "Fixed Kernel Frame Pose Optimization",
   "zh": "固定核帧间位姿优化",
   "level": "l3"
  },
  "CAP_ddd1cbbc": {
   "en": "Barron Adaptive Robust Loss Kernel",
   "zh": "Barron自适应鲁棒损失核",
   "level": "l3"
  },
  "CAP_162355a0": {
   "en": "Full Manual Control Handoff",
   "zh": "全手动控制交接",
   "level": "l3"
  },
  "CAP_46aeb808": {
   "en": "Human-Robot Role Exchange Modeling",
   "zh": "人机角色互换建模",
   "level": "l3"
  },
  "CAP_a6b832ea": {
   "en": "Distributed Task Pool Decomposition",
   "zh": "分布式任务池分解",
   "level": "l3"
  },
  "CAP_320893f9": {
   "en": "Game-Theoretic Marginal Contribution Role Allocation",
   "zh": "博弈论边际贡献角色分配",
   "level": "l3"
  },
  "CAP_e4f5a6b7": {
   "en": "Forager-Rester Ratio Adaptation",
   "zh": "觅食者-休息者比例自适应",
   "level": "l3"
  },
  "CAP_c8d9e0f1": {
   "en": "E-GAP Role Allocation Modeling",
   "zh": "E-GAP 角色分配建模",
   "level": "l3"
  },
  "CAP_f0e1d2c3": {
   "en": "Anonymous Hedonic Game Nash-Stable Partitioning",
   "zh": "匿名享乐博弈 Nash 稳定分区",
   "level": "l3"
  },
  "CAP_b4a5c6d7": {
   "en": "Social Inhibition Coalition Switch",
   "zh": "社会抑制联盟切换",
   "level": "l3"
  },
  "CAP_d8e9f0a1": {
   "en": "Hedonic Preference Formation",
   "zh": "享乐偏好函数构建",
   "level": "l3"
  },
  "CAP_c3d4e5f6": {
   "en": "Expected Capability Threshold Pruning",
   "zh": "期望能力阈值剪枝",
   "level": "l3"
  },
  "CAP_6af78cc5": {
   "en": "DCOP Solution Extraction and Dispatch",
   "zh": "DCOP 解提取与角色派遣",
   "level": "l3"
  },
  "CAP_e6e6100a": {
   "en": "Coalition Scheduling Re-Optimization",
   "zh": "联盟调度重优化",
   "level": "l3"
  },
  "CAP_8d31bb89": {
   "en": "Conversational Role-Based Orchestration",
   "zh": "对话式角色编排",
   "level": "l2"
  },
  "CAP_4a062e2f": {
   "en": "Role-Goal-Backstory Agent Definition",
   "zh": "角色-目标-背景 Agent 定义",
   "level": "l3"
  },
  "CAP_d59e58ef": {
   "en": "Task-Role Mapping Initialization",
   "zh": "任务-角色映射初始化",
   "level": "l3"
  },
  "CAP_0a472b60": {
   "en": "Conversational Process Execution",
   "zh": "对话式流程执行",
   "level": "l3"
  },
  "CAP_c888e2c2": {
   "en": "Sub-task Plan Multi-Stage Validation",
   "zh": "子任务计划多阶段验证",
   "level": "l3"
  },
  "CAP_1a20660f": {
   "en": "Leadership Bidding and Election",
   "zh": "领航者竞价与选举",
   "level": "l3"
  },
  "CAP_de5884a8": {
   "en": "Multi-Robot Dialectic Dialogue Decomposition",
   "zh": "多机器人辩证对话分解",
   "level": "l3"
  },
  "CAP_7ea930e2": {
   "en": "Dynamic Agent Team Optimization",
   "zh": "动态智能体团队优化",
   "level": "l2"
  },
  "CAP_fa01242e": {
   "en": "Collaborative Decision Aggregation",
   "zh": "协作决策汇总",
   "level": "l3"
  },
  "CAP_be7f4829": {
   "en": "Byzantine Consensus Early Stopping",
   "zh": "拜占庭共识早停",
   "level": "l3"
  },
  "CAP_594e174d": {
   "en": "Hierarchical Heterogeneous Role Delegation",
   "zh": "分层异构角色委派",
   "level": "l2"
  },
  "CAP_e9411014": {
   "en": "Centralized Task Decomposition and Role Delegation",
   "zh": "集中式任务分解与角色委派",
   "level": "l3"
  },
  "CAP_1c77d619": {
   "en": "Hierarchical Result Evaluation",
   "zh": "分层结果评估",
   "level": "l3"
  },
  "CAP_a7ccbb62": {
   "en": "Collaboration Graph Construction",
   "zh": "协作图构建",
   "level": "l3"
  },
  "CAP_21a83ea0": {
   "en": "TaskDecompositionRoleDelegation",
   "zh": "任务分解与角色委派",
   "level": "l3"
  },
  "CAP_a43bacf0": {
   "en": "Leader Election Based Role Conflict Resolution",
   "zh": "基于领导者选举的角色冲突消解",
   "level": "l2"
  },
  "CAP_09d9c895": {
   "en": "Role Contention Detection",
   "zh": "角色竞争检测",
   "level": "l3"
  },
  "CAP_42c57f4f": {
   "en": "Candidate Qualification by Priority and ID",
   "zh": "候选资格声明（优先级与 ID）",
   "level": "l3"
  },
  "CAP_365247ea": {
   "en": "Bully ID-Based Leader Election",
   "zh": "Bully 基于 ID 的领导者选举",
   "level": "l3"
  },
  "CAP_bea869b3": {
   "en": "Unique Leader Confirmation",
   "zh": "唯一领导者确认与心跳维持",
   "level": "l3"
  },
  "CAP_9e63e3e7": {
   "en": "Leader Failover and Re-election",
   "zh": "领导者故障切换与重新选举",
   "level": "l3"
  },
  "CAP_3151c322": {
   "en": "Role Switching Strategy",
   "zh": "角色切换策略",
   "level": "l1"
  },
  "CAP_2a4f9fb3": {
   "en": "Event-Triggered BT Role Transition",
   "zh": "事件触发行为树角色转移",
   "level": "l2"
  },
  "CAP_46c97cb2": {
   "en": "BT Role Switch Event Detection",
   "zh": "BT角色切换事件检测",
   "level": "l3"
  },
  "CAP_a2a43850": {
   "en": "Guard Condition Evaluation",
   "zh": "守卫条件评估",
   "level": "l3"
  },
  "CAP_ec0e34ff": {
   "en": "BT Role Swapper Subtree",
   "zh": "BT角色交换子树",
   "level": "l3"
  },
  "CAP_71a7463d": {
   "en": "Hysteresis Stability Control",
   "zh": "磁滞稳定性控制",
   "level": "l3"
  },
  "CAP_2e0a72c3": {
   "en": "Learned Role Switching Policy",
   "zh": "学习型角色切换策略",
   "level": "l2"
  },
  "CAP_1a32d077": {
   "en": "Role Policy Network Inference",
   "zh": "角色策略网络推理",
   "level": "l3"
  },
  "CAP_9f096fd7": {
   "en": "Role-Conditioned Action Policy",
   "zh": "角色条件动作策略",
   "level": "l3"
  },
  "CAP_11deec81": {
   "en": "MARL Role Switch Training",
   "zh": "MARL角色切换训练",
   "level": "l3"
  },
  "CAP_fd3a35d5": {
   "en": "Behavioral Diversity Regulation",
   "zh": "行为多样性调控",
   "level": "l3"
  },
  "CAP_347676e9": {
   "en": "MCU Dual-Bank Rollback Orchestration",
   "zh": "MCU双Bank回滚编排",
   "level": "l2"
  },
  "CAP_ac0ef547": {
   "en": "Exploration RRT Tree Expansion",
   "zh": "探索随机树扩展",
   "level": "l3"
  },
  "CAP_5bccf25a": {
   "en": "Decayed Gain Branch Accumulation",
   "zh": "衰减增益分支累积",
   "level": "l3"
  },
  "CAP_7f5994dc": {
   "en": "First Segment Execution And Tree Reset",
   "zh": "首段执行与树重置",
   "level": "l3"
  },
  "CAP_bb15296f": {
   "en": "Receding Horizon Task And Motion Planning",
   "zh": "滚动时域任务与运动规划",
   "level": "l2"
  },
  "CAP_879cbf1b": {
   "en": "Geometry Heuristic Action Pruning",
   "zh": "几何启发式动作剪枝",
   "level": "l3"
  },
  "CAP_822468c5": {
   "en": "LGP Skeleton NLP Solve",
   "zh": "LGP 骨架非线性规划求解",
   "level": "l3"
  },
  "CAP_55867d42": {
   "en": "Receding Horizon Action Advance",
   "zh": "滚动时域动作推进",
   "level": "l3"
  },
  "CAP_b503943b": {
   "en": "TerminationCheckAndReassignment",
   "zh": "终止检查与目标重分配",
   "level": "l3"
  },
  "CAP_4b01778c": {
   "en": "Rolling Contact Kinematics Modeling",
   "zh": "滚动接触运动学建模",
   "level": "l2"
  },
  "CAP_8ad572c3": {
   "en": "Montana Contact Kinematics Formulation",
   "zh": "Montana 接触运动学公式化",
   "level": "l3"
  },
  "CAP_2aeecbaf": {
   "en": "Plate-Ball Nonholonomic Motion Planning",
   "zh": "板-球非完整运动规划",
   "level": "l2"
  },
  "CAP_9114a2fc": {
   "en": "Exact Geometric Rolling Planner",
   "zh": "精确几何滚动规划器",
   "level": "l3"
  },
  "CAP_493978b8": {
   "en": "Closed-Loop Spinning Maneuver",
   "zh": "闭环自旋机动",
   "level": "l3"
  },
  "CAP_bfe38ba5": {
   "en": "Iterative Steering Robust Control",
   "zh": "迭代转向鲁棒控制",
   "level": "l2"
  },
  "CAP_2d9df944": {
   "en": "Iterative Steering Planner",
   "zh": "迭代转向规划器",
   "level": "l3"
  },
  "CAP_3ae7b371": {
   "en": "Nilpotent Approximation Steering Law",
   "zh": "幂零近似转向律",
   "level": "l3"
  },
  "CAP_f9a6ebb9": {
   "en": "Active Rolling Surface In-Hand Manipulation",
   "zh": "主动滚动表面手内操作",
   "level": "l2"
  },
  "CAP_1058a6c9": {
   "en": "Active Rolling Fingertip Grasp",
   "zh": "主动滚动指尖抓取",
   "level": "l3"
  },
  "CAP_77ded4cc": {
   "en": "Roller Velocity Command Control",
   "zh": "滚轮速度指令控制",
   "level": "l3"
  },
  "CAP_8c14b58c": {
   "en": "Tactile-Reactive Rolling Control",
   "zh": "触觉反应式滚动控制",
   "level": "l3"
  },
  "CAP_d9666628": {
   "en": "Variable Palm Width Adjustment",
   "zh": "变宽度手掌调节",
   "level": "l3"
  },
  "CAP_2d27c209": {
   "en": "Residual Physics Rolling Dynamics Learning",
   "zh": "残差物理滚动动力学学习",
   "level": "l2"
  },
  "CAP_9ad96898": {
   "en": "Contact Intention Selection",
   "zh": "接触意图选择",
   "level": "l2"
  },
  "CAP_6d49ebb1": {
   "en": "Rolling Contact Dynamics Data Collection",
   "zh": "滚动接触动力学数据采集",
   "level": "l3"
  },
  "CAP_28edeb2d": {
   "en": "Residual Contact Dynamics Model",
   "zh": "残差接触动力学模型",
   "level": "l3"
  },
  "CAP_5de07f95": {
   "en": "Active Learning Batch Sampling",
   "zh": "主动学习批量采样",
   "level": "l3"
  },
  "CAP_d6492521": {
   "en": "Contact Location Keypoint Selection",
   "zh": "接触位置关键点选择",
   "level": "l3"
  },
  "CAP_7b983048": {
   "en": "No-Slip Rolling Kinematic Constraint",
   "zh": "无滑动滚动运动学约束",
   "level": "l3"
  },
  "CAP_f8db7a31": {
   "en": "Complementarity-Free Contact Dynamics",
   "zh": "无互补接触动力学",
   "level": "l3"
  },
  "CAP_2793ede5": {
   "en": "Surge-Based Rolling Update Pacing",
   "zh": "滚动更新节奏控制",
   "level": "l3"
  },
  "CAP_335686bc": {
   "en": "Metric-Gated Analysis",
   "zh": "指标门控分析",
   "level": "l3"
  },
  "CAP_b96e58cf": {
   "en": "Progressive Delivery Auto Rollback",
   "zh": "渐进式发布自动回滚",
   "level": "l3"
  },
  "CAP_18460050": {
   "en": "StatefulSet Ordered Rolling Update",
   "zh": "StatefulSet 有序滚动更新",
   "level": "l3"
  },
  "CAP_3f25a95b": {
   "en": "Indoor Room Geometry Construction",
   "zh": "室内房间几何构造",
   "level": "l2"
  },
  "CAP_e14448c7": {
   "en": "Sound Source and Microphone Array Placement",
   "zh": "声源与麦克风阵列布置",
   "level": "l2"
  },
  "CAP_c759c93f": {
   "en": "Acoustic Beamforming",
   "zh": "声学波束形成",
   "level": "l3"
  },
  "CAP_92a7ab89": {
   "en": "3D Scan-Based Geometric Acoustic Simulation Pipeline",
   "zh": "基于3D扫描的几何声学仿真流水线",
   "level": "l2"
  },
  "CAP_f0bdc512": {
   "en": "GPU-Accelerated RIR Batch Synthesis Pipeline",
   "zh": "GPU 加速 RIR 批量合成流水线",
   "level": "l2"
  },
  "CAP_9d87785c": {
   "en": "Wall Material and RT60 Configuration",
   "zh": "墙壁材料与 RT60 配置",
   "level": "l3"
  },
  "CAP_0c124953": {
   "en": "Sound Source Placement",
   "zh": "声源布置",
   "level": "l3"
  },
  "CAP_6ddd44cf": {
   "en": "Microphone Array Geometry Configuration",
   "zh": "麦克风阵列几何配置",
   "level": "l3"
  },
  "CAP_38a9d829": {
   "en": "Room Impulse Response Convolution",
   "zh": "房间脉冲响应卷积混响注入",
   "level": "l3"
  },
  "CAP_0e44b5bc": {
   "en": "3D Scene Mesh Loading with Acoustic Materials",
   "zh": "3D场景网格与声学材料加载",
   "level": "l3"
  },
  "CAP_f98c3b1c": {
   "en": "Audio Sensor Configuration and Registration",
   "zh": "音频传感器配置与注册",
   "level": "l3"
  },
  "CAP_a060d680": {
   "en": "Audio Source Configuration and Waveform Convolution",
   "zh": "声源配置与波形卷积",
   "level": "l3"
  },
  "CAP_acce6751": {
   "en": "Real-World Acoustic Measurement Validation",
   "zh": "真实世界声学测量验证",
   "level": "l3"
  },
  "CAP_d61d1d0b": {
   "en": "GPU ISM Room Configuration",
   "zh": "GPU ISM 房间参数配置",
   "level": "l3"
  },
  "CAP_2537fb4b": {
   "en": "GPU Parallel ISM RIR Generation",
   "zh": "GPU 并行 ISM RIR 生成",
   "level": "l3"
  },
  "CAP_da82194e": {
   "en": "Segmental SNR Mixing",
   "zh": "分段SNR混音",
   "level": "l3"
  },
  "CAP_965785dc": {
   "en": "SELD Training Data Assembly",
   "zh": "SELD 训练数据封装",
   "level": "l3"
  },
  "CAP_5e90794a": {
   "en": "RoomGeometryConstruction",
   "zh": "房间几何构造",
   "level": "l3"
  },
  "CAP_603cf12c": {
   "en": "Room Boundary Detection",
   "zh": "房间边界检测",
   "level": "l2"
  },
  "CAP_2fd40217": {
   "en": "Occupancy Grid Free Space Binarization",
   "zh": "占用栅格自由空间二值化",
   "level": "l3"
  },
  "CAP_dec8197e": {
   "en": "Voronoi Random Field Room Segmentation",
   "zh": "维诺随机场房间分割",
   "level": "l3"
  },
  "CAP_d7049f71": {
   "en": "Room Boundary Contour Extraction",
   "zh": "房间边界轮廓提取",
   "level": "l3"
  },
  "CAP_35faa914": {
   "en": "RGBD Top View Projection",
   "zh": "RGBD顶视图投影",
   "level": "l3"
  },
  "CAP_ca440e4d": {
   "en": "Room Instance Segmentation",
   "zh": "房间实例分割",
   "level": "l3"
  },
  "CAP_4d4f2a5d": {
   "en": "Corner Edge Probability Map Extraction",
   "zh": "角点边缘概率图提取",
   "level": "l3"
  },
  "CAP_8e056b60": {
   "en": "Room-wise Shortest Path Vectorization",
   "zh": "房间级最短路径矢量化",
   "level": "l3"
  },
  "CAP_d4f09977": {
   "en": "Adjacent Room Consistency Merging",
   "zh": "相邻房间一致性合并",
   "level": "l3"
  },
  "CAP_16bdf512": {
   "en": "TSDF Mesh Construction",
   "zh": "TSDF网格构建",
   "level": "l3"
  },
  "CAP_b5a22d15": {
   "en": "GVD Places Graph Extraction",
   "zh": "GVD场所图提取",
   "level": "l3"
  },
  "CAP_99d07675": {
   "en": "Wall Plane Factor Graph Room Extraction",
   "zh": "墙面平面因子图房间提取",
   "level": "l3"
  },
  "CAP_025d185f": {
   "en": "Room Node Boundary Geometry Extraction",
   "zh": "房间节点边界几何提取",
   "level": "l3"
  },
  "CAP_435d2389": {
   "en": "Semantic Directional Score",
   "zh": "语义方向评分预测",
   "level": "l3"
  },
  "CAP_54ff3da4": {
   "en": "Places Graph Extraction",
   "zh": "场所层拓扑图提取",
   "level": "l3"
  },
  "CAP_f9effe88": {
   "en": "Room Order Exploration Guidance",
   "zh": "房间序探索引导",
   "level": "l2"
  },
  "CAP_3b7e9c24": {
   "en": "Unseen Floor Plan Prediction",
   "zh": "局部平面图预测未见区域",
   "level": "l3"
  },
  "CAP_577329de": {
   "en": "Local Prediction Merge",
   "zh": "局部预测图合并为全局预测图",
   "level": "l3"
  },
  "CAP_e665f156": {
   "en": "Room Visiting Order TSP",
   "zh": "房间访问序TSP优化",
   "level": "l3"
  },
  "CAP_d9be2f4b": {
   "en": "Panoramic Layout Prediction",
   "zh": "全景图1D布局预测",
   "level": "l2"
  },
  "CAP_adb52b73": {
   "en": "Layout Prior for Navigation",
   "zh": "布局先验导航衔接",
   "level": "l3"
  },
  "CAP_ae938ca6": {
   "en": "1D Room Layout Prediction",
   "zh": "1D房间布局预测",
   "level": "l3"
  },
  "CAP_5e66718e": {
   "en": "Room Shape Inference",
   "zh": "房间形状自动推断",
   "level": "l3"
  },
  "CAP_689770bd": {
   "en": "Occupancy Grid Map Ingestion",
   "zh": "占据栅格地图输入",
   "level": "l3"
  },
  "CAP_72d9cb83": {
   "en": "Room Segmentation Algorithm Selection",
   "zh": "房间分割算法选择",
   "level": "l3"
  },
  "CAP_ccc94532": {
   "en": "Voronoi Graph Room Segmentation",
   "zh": "Voronoi 骨架房间分割",
   "level": "l3"
  },
  "CAP_21c66496": {
   "en": "Room Unit Indexing",
   "zh": "房间单元索引",
   "level": "l3"
  },
  "CAP_e1ddd52a": {
   "en": "Cross-Room Path Planning",
   "zh": "跨房间路径规划",
   "level": "l2"
  },
  "CAP_f1be87d2": {
   "en": "Room-Level Scene Graph Construction",
   "zh": "房间层场景图构建",
   "level": "l2"
  },
  "CAP_1f334469": {
   "en": "Places Layer Extraction",
   "zh": "场所层拓扑图提取",
   "level": "l3"
  },
  "CAP_7763d39f": {
   "en": "Neural Tree Room Semantic Classification",
   "zh": "神经树房间语义分类",
   "level": "l3"
  },
  "CAP_4e86e7e3": {
   "en": "Ghost Node Candidate Edge Generation",
   "zh": "幽灵节点候选边生成",
   "level": "l3"
  },
  "CAP_1fa79391": {
   "en": "Learning-Based Topological Edge Prediction",
   "zh": "学习型拓扑边预测",
   "level": "l2"
  },
  "CAP_3a1c6e89": {
   "en": "Learned Local Navigation to Goal",
   "zh": "学习型局部导航到目标",
   "level": "l3"
  },
  "CAP_3060c527": {
   "en": "Learning-Based Navigation Execution",
   "zh": "学习型导航执行",
   "level": "l2"
  },
  "CAP_a7a6e746": {
   "en": "Learning-Based Structure Prior Learning",
   "zh": "学习式结构先验学习",
   "level": "l2"
  },
  "CAP_91b03645": {
   "en": "Incremental Ghost-Node Topological Update",
   "zh": "增量幽灵节点拓扑更新",
   "level": "l3"
  },
  "CAP_632a9763": {
   "en": "Learning-Based Global Subgoal and Path Planning",
   "zh": "学习式全局子目标与路径规划",
   "level": "l2"
  },
  "CAP_00efc354": {
   "en": "Iterative Erosion Contour Detection",
   "zh": "迭代腐蚀轮廓检测",
   "level": "l3"
  },
  "CAP_8d3a4e17": {
   "en": "2D Room Segmented Semantic Map Output",
   "zh": "2D 房间分割语义地图输出",
   "level": "l3"
  },
  "CAP_0badadde": {
   "en": "Feature/Semantic Room Segmentation",
   "zh": "特征/语义房间分割",
   "level": "l3"
  },
  "CAP_566f70d4": {
   "en": "3D Scene Graph Hierarchical Abstraction",
   "zh": "3D 场景图层次抽象",
   "level": "l2"
  },
  "CAP_b7299ada": {
   "en": "Topology-Based Hierarchical Knot Planning",
   "zh": "拓扑纽结理论驱动的分层绳索打结规划",
   "level": "l2"
  },
  "CAP_840d62bf": {
   "en": "Knot Topology Encoding",
   "zh": "纽结拓扑编码",
   "level": "l3"
  },
  "CAP_09b3a68c": {
   "en": "Knot Low-Level Inverse Model Learning",
   "zh": "打结低层逆模型学习",
   "level": "l3"
  },
  "CAP_f868b293": {
   "en": "RL-Based Rope Manipulation in Differentiable Physics",
   "zh": "可微物理仿真中的强化学习绳索操控",
   "level": "l2"
  },
  "CAP_dd42d5a1": {
   "en": "Gradient-Enhanced Rope Policy Learning",
   "zh": "梯度增强绳索策略学习",
   "level": "l3"
  },
  "CAP_1e85fcfa": {
   "en": "Equivariant Rope Policy Learning",
   "zh": "等变绳索策略学习",
   "level": "l3"
  },
  "CAP_e646ea63": {
   "en": "Rope Knot Tying with Gradients",
   "zh": "梯度绳索打结",
   "level": "l3"
  },
  "CAP_bfbf566a": {
   "en": "DLO Model-Based Planning and Constrained MPC",
   "zh": "模型基全局规划+约束MPC的双臂DLO操控",
   "level": "l2"
  },
  "CAP_d956baa3": {
   "en": "DLO State Estimation from Vision",
   "zh": "DLO视觉状态估计",
   "level": "l3"
  },
  "CAP_983c39f3": {
   "en": "DLO Global Planning with Energy Model",
   "zh": "DLO能量模型全局规划",
   "level": "l3"
  },
  "CAP_7cf44414": {
   "en": "Online DLO Parameter Identification",
   "zh": "DLO在线参数辨识",
   "level": "l3"
  },
  "CAP_cc5c5f4c": {
   "en": "Centralized Name Registration and Master/Slave XML-RPC Protocol",
   "zh": "中心化名称注册表与Master/Slave XML-RPC协议",
   "level": "l2"
  },
  "CAP_29702bc0": {
   "en": "Topic Connection Negotiation and TCPROS P2P Transport",
   "zh": "Topic连接协商与TCPROS P2P传输",
   "level": "l3"
  },
  "CAP_6d3ea53e": {
   "en": "Service Registration and Query API",
   "zh": "服务注册与查询API",
   "level": "l3"
  },
  "CAP_5111b6a3": {
   "en": "Parameter Namespace Tree and Set/Get/SearchParam Semantics",
   "zh": "参数命名空间树与set/get/searchParam语义",
   "level": "l2"
  },
  "CAP_c64811e0": {
   "en": "SubscribeParam/ParamUpdate Push Mechanism",
   "zh": "subscribeParam/paramUpdate推送机制",
   "level": "l3"
  },
  "CAP_abf5c648": {
   "en": "ParamServerCache Client-Side Caching",
   "zh": "ParamServerCache客户端缓存",
   "level": "l3"
  },
  "CAP_baa193ea": {
   "en": "ROS1 Multi-Master Federation",
   "zh": "ROS1多主联邦同步",
   "level": "l2"
  },
  "CAP_b445b943": {
   "en": "ROS1 Master Mirror Registration",
   "zh": "ROS1主镜像注册",
   "level": "l3"
  },
  "CAP_41abe29b": {
   "en": "ROS1 Remote Master Topology Snapshot",
   "zh": "ROS1远端主拓扑快照",
   "level": "l3"
  },
  "CAP_917b5318": {
   "en": "ROS1 Sync Filter and Reconnect",
   "zh": "ROS1同步过滤与重连",
   "level": "l3"
  },
  "CAP_e56dc5a3": {
   "en": "Multi-Master Network Node Management",
   "zh": "多主网络节点管理",
   "level": "l3"
  },
  "CAP_d019d0d4": {
   "en": "ROS1 ROS2 Dual Environment Bootstrap",
   "zh": "ROS1-ROS2 双环境引导",
   "level": "l3"
  },
  "CAP_bc92c9a4": {
   "en": "Custom Message Mapping",
   "zh": "自定义消息桥接映射",
   "level": "l3"
  },
  "CAP_4f5bd4eb": {
   "en": "Parameterized Static Bridging",
   "zh": "参数化静态桥接",
   "level": "l3"
  },
  "CAP_f37bc922": {
   "en": "Service Bridging",
   "zh": "服务桥接",
   "level": "l3"
  },
  "CAP_6d7a60bf": {
   "en": "Incremental Node Migration Cutover",
   "zh": "渐进节点迁移切换",
   "level": "l3"
  },
  "CAP_2022d6e2": {
   "en": "ROS1 CLI Toolchain Reuse",
   "zh": "ROS1 CLI 工具链复用",
   "level": "l2"
  },
  "CAP_f0a107c1": {
   "en": "Bridge Topic Discovery",
   "zh": "桥接话题发现",
   "level": "l3"
  },
  "CAP_aab92e5f": {
   "en": "Bridge Topic Echo",
   "zh": "桥接话题回显",
   "level": "l3"
  },
  "CAP_d5d44135": {
   "en": "Bridge Service Call",
   "zh": "桥接服务调用",
   "level": "l3"
  },
  "CAP_eb665d1c": {
   "en": "Bridge Parameter Management",
   "zh": "桥接参数管理",
   "level": "l3"
  },
  "CAP_11c51c9a": {
   "en": "Bridge Bag Migration",
   "zh": "桥接 bag 数据迁移",
   "level": "l3"
  },
  "CAP_3d4f7ab7": {
   "en": "Mixed Workspace Build",
   "zh": "混合工作空间构建",
   "level": "l3"
  },
  "CAP_01f1a7ca": {
   "en": "Custom Message Bridge Generator",
   "zh": "自定义消息桥接生成器",
   "level": "l3"
  },
  "CAP_6571be2e": {
   "en": "Dynamic Bridge Integration Test",
   "zh": "桥接动态兼容性集成测试",
   "level": "l3"
  },
  "CAP_c4451aee": {
   "en": "Migration Readiness Reporter",
   "zh": "迁移就绪性报告生成",
   "level": "l3"
  },
  "CAP_8850aa42": {
   "en": "ROS2ActionServerCallbackRegistration",
   "zh": "ROS2 Action 服务端回调注册",
   "level": "l3"
  },
  "CAP_0f1bf7ff": {
   "en": "CallbackGroup Concurrency Binding",
   "zh": "回调组创建与回调绑定",
   "level": "l3"
  },
  "CAP_cd6f9a8f": {
   "en": "Node Registration to Executor",
   "zh": "节点注册到执行器",
   "level": "l3"
  },
  "CAP_cc6e7479": {
   "en": "Wait-set Handle Monitoring",
   "zh": "Wait-set 就绪实体监听",
   "level": "l2"
  },
  "CAP_ba66bf87": {
   "en": "ReadySet Snapshot Collection",
   "zh": "ReadySet 快照采集",
   "level": "l3"
  },
  "CAP_42e36027": {
   "en": "CallbackGroup-based Dispatch",
   "zh": "基于回调组的回调分发",
   "level": "l3"
  },
  "CAP_99d2226a": {
   "en": "Callback Execution and Deadlock Handling",
   "zh": "回调执行与死锁处理",
   "level": "l3"
  },
  "CAP_707933c9": {
   "en": "Component Container Loading and Instantiation",
   "zh": "组件容器装载与实例化",
   "level": "l2"
  },
  "CAP_5f116a67": {
   "en": "Runtime Component Loading and Instantiation",
   "zh": "运行时组件装载与实例化",
   "level": "l3"
  },
  "CAP_7310d1ec": {
   "en": "Lifecycle Manager Configuration",
   "zh": "生命周期管理器配置",
   "level": "l3"
  },
  "CAP_ecf87a70": {
   "en": "Ordered Configure-Activate Orchestration",
   "zh": "按序 Configure-Activate 编排",
   "level": "l2"
  },
  "CAP_07553bff": {
   "en": "Sequential Configure Transition",
   "zh": "按序 Configure 转换",
   "level": "l3"
  },
  "CAP_72c6bc47": {
   "en": "Batch Activate with Rollback",
   "zh": "批量激活与回滚",
   "level": "l3"
  },
  "CAP_cf2c2b48": {
   "en": "Bond Heartbeat Creation",
   "zh": "Bond 心跳创建",
   "level": "l3"
  },
  "CAP_9a68ed7a": {
   "en": "Bond Timeout Crash Detection",
   "zh": "Bond 超时崩溃检测",
   "level": "l3"
  },
  "CAP_981c3349": {
   "en": "Degradation and Respawn Recovery",
   "zh": "降级与重生恢复",
   "level": "l3"
  },
  "CAP_47b667e7": {
   "en": "rosidl Type Support Generation",
   "zh": "rosidl 类型支持生成",
   "level": "l3"
  },
  "CAP_ea4f5442": {
   "en": "rcl Core Layer Wrapping rmw",
   "zh": "rcl 核心层封装 rmw",
   "level": "l2"
  },
  "CAP_db5c5827": {
   "en": "rcl Handle Wrapping rmw",
   "zh": "rcl 句柄封装 rmw",
   "level": "l3"
  },
  "CAP_ba664ef4": {
   "en": "Language Client Library and NodeInterface Layering",
   "zh": "语言客户端库与 NodeInterface 分层",
   "level": "l2"
  },
  "CAP_88e5c09a": {
   "en": "NodeInterface Decomposition",
   "zh": "NodeInterface 分层拆解",
   "level": "l3"
  },
  "CAP_5613d46c": {
   "en": "ComponentManager Dynamic Driver Component Loading",
   "zh": "ComponentManager 动态驱动组件加载",
   "level": "l3"
  },
  "CAP_fb934c79": {
   "en": "ROS2 Component Node Macro Registration",
   "zh": "ROS2 组件节点宏注册",
   "level": "l3"
  },
  "CAP_7e2db040": {
   "en": "ROS2 Component CMake Index Registration",
   "zh": "ROS2 组件 CMake 索引注册",
   "level": "l3"
  },
  "CAP_589044e4": {
   "en": "ROS2 Compile-Time Manual Node Composition",
   "zh": "ROS2 编译期手动节点组合",
   "level": "l2"
  },
  "CAP_0bf12f7e": {
   "en": "ROS2 Executor Type Selection",
   "zh": "ROS2 执行器类型选择",
   "level": "l3"
  },
  "CAP_df2c6496": {
   "en": "ROS2 Per-Node Dedicated Executor Threading",
   "zh": "ROS2 逐节点独立执行器线程化",
   "level": "l3"
  },
  "CAP_4ae9ec95": {
   "en": "ROS2 Lifecycle Node Manual Composition",
   "zh": "ROS2 生命周期节点手动组合",
   "level": "l3"
  },
  "CAP_b4e65433": {
   "en": "ROS2 Intra-Process Zero-Copy Pipeline Construction",
   "zh": "ROS2 进程内零拷贝流水线构建",
   "level": "l2"
  },
  "CAP_c8c5a0da": {
   "en": "ROS2 Unique-Ptr Zero-Copy Publish Subscribe",
   "zh": "ROS2 unique_ptr 零拷贝发布订阅",
   "level": "l3"
  },
  "CAP_36dbdc0a": {
   "en": "ROS2 Per-Entity Intra-Process Comms Control",
   "zh": "ROS2 实体级进程内通信控制",
   "level": "l3"
  },
  "CAP_36926122": {
   "en": "DDS Vendor and SHM Capability Audit",
   "zh": "DDS厂商SHM能力审计",
   "level": "l3"
  },
  "CAP_4b73e69e": {
   "en": "DDS XML Configuration and Transport Tuning",
   "zh": "DDS XML配置与传输调优",
   "level": "l2"
  },
  "CAP_22c8f8ef": {
   "en": "ROS2 Zero-Copy Option Benchmark",
   "zh": "ROS2 应用级零拷贝选项基准",
   "level": "l2"
  },
  "CAP_5edb951e": {
   "en": "Zero-Copy Option and RMW Matrix Design",
   "zh": "零拷贝选项与 RMW 矩阵设计",
   "level": "l3"
  },
  "CAP_d7966324": {
   "en": "Launch-Time Security Bringup",
   "zh": "Launch级安全启动配置",
   "level": "l2"
  },
  "CAP_fc40f4fd": {
   "en": "SROS2 Secure Node Launch",
   "zh": "SROS2 安全节点启动",
   "level": "l3"
  },
  "CAP_f130f99e": {
   "en": "Composable Container Security Enclave Binding",
   "zh": "组合容器安全飞地绑定",
   "level": "l3"
  },
  "CAP_60410de3": {
   "en": "Launch Security Readiness Verification",
   "zh": "Launch安全就绪验证",
   "level": "l3"
  },
  "CAP_a6072012": {
   "en": "ROS2 Launch Event Handler Registration",
   "zh": "ROS2 Launch 事件处理器注册",
   "level": "l3"
  },
  "CAP_e4363838": {
   "en": "ROS2 Launch Dynamic Generation & Shutdown",
   "zh": "ROS2 Launch 动态生成与关停",
   "level": "l3"
  },
  "CAP_8517e2c8": {
   "en": "ROS2 Launch Conditional Branching",
   "zh": "ROS2 Launch 条件分支编排",
   "level": "l3"
  },
  "CAP_50dba57e": {
   "en": "Lifecycle Transition External Driving",
   "zh": "生命周期转换外部驱动",
   "level": "l2"
  },
  "CAP_879ac56e": {
   "en": "Lifecycle Publisher Activation Control",
   "zh": "生命周期发布者激活控制",
   "level": "l3"
  },
  "CAP_234e14c5": {
   "en": "Lifecycle State Introspection",
   "zh": "生命周期状态查询",
   "level": "l3"
  },
  "CAP_88f16736": {
   "en": "Lifecycle Transition Triggering",
   "zh": "生命周期转换触发",
   "level": "l3"
  },
  "CAP_c08a08d5": {
   "en": "Lifecycle Supervisor Bringup",
   "zh": "生命周期监督进程顺序启动",
   "level": "l2"
  },
  "CAP_4170ec0c": {
   "en": "Lifecycle Launch Event Orchestration",
   "zh": "生命周期 Launch 事件编排",
   "level": "l2"
  },
  "CAP_b925ccae": {
   "en": "Launch LifecycleNode Declaration",
   "zh": "Launch 生命周期节点声明",
   "level": "l3"
  },
  "CAP_399587ee": {
   "en": "Launch ChangeState Event Emission",
   "zh": "Launch ChangeState 事件发射",
   "level": "l3"
  },
  "CAP_e9b257f3": {
   "en": "Launch StateTransition Event Handling",
   "zh": "Launch StateTransition 事件处理",
   "level": "l3"
  },
  "CAP_7bfb1b88": {
   "en": "Launch Cross-Node Dependency Orchestration",
   "zh": "Launch 跨节点依赖编排",
   "level": "l3"
  },
  "CAP_a7863e1b": {
   "en": "QoS Performance Reliability Tradeoff Analysis",
   "zh": "QoS 策略性能-可靠性权衡分析",
   "level": "l3"
  },
  "CAP_4ff6487f": {
   "en": "ROS2 QoS Profile Selection and Per-Topic Configuration",
   "zh": "ROS2 QoS Profile 选型与逐话题配置",
   "level": "l2"
  },
  "CAP_2927419d": {
   "en": "Topic Tools Bandwidth Throttling and Dropping",
   "zh": "话题工具带宽节流与丢弃",
   "level": "l3"
  },
  "CAP_f6a94c59": {
   "en": "ROS2 QoS Compatibility Contract and Event Handling",
   "zh": "ROS2 QoS 兼容性契约与事件处理",
   "level": "l2"
  },
  "CAP_ef5c9e20": {
   "en": "Requested-Offered QoS Compatibility Contract Design",
   "zh": "Requested-Offered QoS 兼容性契约设计",
   "level": "l3"
  },
  "CAP_8fd79428": {
   "en": "rosbag2 QoS Profile Override for Recording",
   "zh": "rosbag2 录制 QoS 覆盖",
   "level": "l3"
  },
  "CAP_e1b61a55": {
   "en": "RMW QoS Incompatible Event Type",
   "zh": "RMW QoS 不兼容事件类型",
   "level": "l3"
  },
  "CAP_4575e6dc": {
   "en": "ROS2 QoS Policy Combination Benchmark and Selection",
   "zh": "ROS2 QoS 策略组合基准与选型",
   "level": "l2"
  },
  "CAP_23dce2f6": {
   "en": "QoS Policy Combination Test Matrix Design",
   "zh": "QoS 策略组合测试矩阵设计",
   "level": "l3"
  },
  "CAP_83975f36": {
   "en": "Benchmark-Driven QoS Strategy Selection",
   "zh": "基准驱动 QoS 策略选择",
   "level": "l3"
  },
  "CAP_cd882ad0": {
   "en": "Keystore Enclave Inventory Listing",
   "zh": "keystore 飞地清单盘点",
   "level": "l3"
  },
  "CAP_42db2071": {
   "en": "X.509 Certificate Chain Inspection",
   "zh": "X.509 证书链检查",
   "level": "l3"
  },
  "CAP_11aa73a3": {
   "en": "SROS2 Environment Variable Audit",
   "zh": "SROS2 环境变量审计",
   "level": "l3"
  },
  "CAP_c282025f": {
   "en": "Enclave Resolution Path Diagnosis",
   "zh": "飞地解析路径诊断",
   "level": "l3"
  },
  "CAP_b862c64f": {
   "en": "Security Loading Failure Classification",
   "zh": "安全加载失败分类",
   "level": "l3"
  },
  "CAP_c9e12f4e": {
   "en": "Network Multicast Discovery Check",
   "zh": "网络多播环回检查",
   "level": "l3"
  },
  "CAP_39b2ffbe": {
   "en": "Topic Pub/Sub Matching Check",
   "zh": "话题发布订阅匹配检查",
   "level": "l3"
  },
  "CAP_d4f07c79": {
   "en": "Custom DoctorCheck Extension",
   "zh": "安全专用自定义检查扩展",
   "level": "l3"
  },
  "CAP_2474fc2f": {
   "en": "RTPS Discovery Traffic Capture",
   "zh": "RTPS 发现流量捕获",
   "level": "l3"
  },
  "CAP_fcba501b": {
   "en": "RTPS Data Traffic Capture",
   "zh": "RTPS 数据流量捕获",
   "level": "l3"
  },
  "CAP_698bd986": {
   "en": "Wire-Level Encryption Effectiveness Verification",
   "zh": "线缆级加密有效性验证",
   "level": "l3"
  },
  "CAP_c7a4e372": {
   "en": "Discovery Packet Plaintext Leakage Audit",
   "zh": "发现包明文泄露审计",
   "level": "l3"
  },
  "CAP_776d6f76": {
   "en": "Wireshark RTPS Submessage Dissection",
   "zh": "Wireshark RTPS 子消息解析",
   "level": "l3"
  },
  "CAP_97ac5780": {
   "en": "RTPS Security Submessage Analysis",
   "zh": "RTPS 安全子消息分析",
   "level": "l3"
  },
  "CAP_8cd36b74": {
   "en": "Shared Memory Transport Bypass Diagnosis",
   "zh": "共享内存传输旁路诊断",
   "level": "l3"
  },
  "CAP_85528502": {
   "en": "Sequence Number Continuity and Packet Loss Diagnosis",
   "zh": "序列号连续性与丢包诊断",
   "level": "l3"
  },
  "CAP_e9fbebff": {
   "en": "Fast DDS Security Plugin Activation Verification",
   "zh": "Fast DDS 安全插件激活验证",
   "level": "l3"
  },
  "CAP_d9b770ba": {
   "en": "DDS-Security Logging Plugin Configuration",
   "zh": "DDS-Security 日志插件配置",
   "level": "l3"
  },
  "CAP_128c7ee9": {
   "en": "Security Plugin Shared Library Loading Error Diagnosis",
   "zh": "安全插件动态库加载错误诊断",
   "level": "l3"
  },
  "CAP_a3278c20": {
   "en": "Fast DDS Logging Module Configuration",
   "zh": "Fast DDS 日志模块配置",
   "level": "l3"
  },
  "CAP_60f2c1ae": {
   "en": "Cyclone DDS Tracing Configuration for Security Debugging",
   "zh": "Cyclone DDS 安全调试追踪配置",
   "level": "l3"
  },
  "CAP_1c976702": {
   "en": "Access Control Permission Rejection Diagnosis",
   "zh": "访问控制权限拒绝诊断",
   "level": "l3"
  },
  "CAP_1c97c403": {
   "en": "Cryptographic Plugin Protection Level Verification",
   "zh": "加密插件保护级别验证",
   "level": "l3"
  },
  "CAP_5bc67eba": {
   "en": "Keystore Artifact Verification",
   "zh": "密钥库工件验证",
   "level": "l3"
  },
  "CAP_703d7b1b": {
   "en": "SROS2 Batch Artifact Generation",
   "zh": "SROS2 批量工件生成",
   "level": "l3"
  },
  "CAP_95ede0d2": {
   "en": "External PKI Trust Anchor Integration",
   "zh": "外部 PKI 信任锚集成",
   "level": "l2"
  },
  "CAP_ee6e8306": {
   "en": "Trust Chain Separation Configuration",
   "zh": "信任链分离配置",
   "level": "l3"
  },
  "CAP_6a482cde": {
   "en": "Identity CRL DDS Property Configuration",
   "zh": "identity_crl DDS 属性配置",
   "level": "l3"
  },
  "CAP_7ecb5a5c": {
   "en": "Hardware-Backed Key Protection",
   "zh": "硬件级密钥保护",
   "level": "l2"
  },
  "CAP_e4ed274f": {
   "en": "HSM Token Initialization",
   "zh": "HSM Token 初始化",
   "level": "l3"
  },
  "CAP_41b3d460": {
   "en": "PKCS#11 URI Configuration",
   "zh": "PKCS#11 URI 配置",
   "level": "l3"
  },
  "CAP_d3467792": {
   "en": "RouDi Middleware Infrastructure",
   "zh": "RouDi中间件基础设施",
   "level": "l3"
  },
  "CAP_46574a83": {
   "en": "Fast DDS SHM Transport Descriptor XML Config",
   "zh": "Fast DDS SHM传输描述符XML配置",
   "level": "l3"
  },
  "CAP_1689c323": {
   "en": "Fast DDS Data Sharing Zero Copy QoS Config",
   "zh": "Fast DDS Data-Sharing零拷贝QoS配置",
   "level": "l3"
  },
  "CAP_ddbb8176": {
   "en": "Cyclone DDS iceoryx SHM Configuration",
   "zh": "Cyclone DDS iceoryx SHM配置",
   "level": "l2"
  },
  "CAP_2917e4bb": {
   "en": "Cyclone DDS iceoryx Branch Build and Enable",
   "zh": "Cyclone DDS iceoryx分支源码编译启用",
   "level": "l3"
  },
  "CAP_1134e68c": {
   "en": "Cyclone DDS SharedMemory XML Config",
   "zh": "Cyclone DDS SharedMemory XML配置",
   "level": "l3"
  },
  "CAP_b3d30ec2": {
   "en": "rclcpp Loaned Message Zero Copy Publish Cyclone DDS iceoryx",
   "zh": "rclcpp借用消息零拷贝发布Cyclone DDS iceoryx",
   "level": "l3"
  },
  "CAP_5c05a37c": {
   "en": "rmw iceoryx Zero Copy RMW Configuration",
   "zh": "rmw_iceoryx零拷贝RMW配置",
   "level": "l2"
  },
  "CAP_a5b269c8": {
   "en": "rmw iceoryx Functional Matrix Verification and Limitations",
   "zh": "rmw_iceoryx功能矩阵验证与限制",
   "level": "l3"
  },
  "CAP_c53776f7": {
   "en": "Catkin Workspace Setup",
   "zh": "Catkin 工作空间初始化",
   "level": "l2"
  },
  "CAP_6674e363": {
   "en": "Workspace Directory Init",
   "zh": "工作空间目录初始化",
   "level": "l3"
  },
  "CAP_900f8602": {
   "en": "Catkin Package Create",
   "zh": "Catkin 软件包创建",
   "level": "l3"
  },
  "CAP_d238f99e": {
   "en": "Devel Env Inject",
   "zh": "Devel 环境注入",
   "level": "l3"
  },
  "CAP_d2764e15": {
   "en": "Catkin Package Manifest Authoring",
   "zh": "Catkin 包清单编写",
   "level": "l3"
  },
  "CAP_80414c7b": {
   "en": "Catkin Make Build",
   "zh": "Catkin_make 编译",
   "level": "l2"
  },
  "CAP_6c8e946a": {
   "en": "Catkin Make Monolithic Build",
   "zh": "Catkin_make 单 CMake 编译",
   "level": "l3"
  },
  "CAP_0baebb06": {
   "en": "Catkin Selective Build",
   "zh": "Catkin 选择性构建",
   "level": "l3"
  },
  "CAP_e8fe3334": {
   "en": "Catkin Isolated Build",
   "zh": "Catkin 隔离构建",
   "level": "l3"
  },
  "CAP_8120ee81": {
   "en": "Catkin Install and Overlay",
   "zh": "Catkin 安装与 Overlay",
   "level": "l2"
  },
  "CAP_7f3315e2": {
   "en": "Catkin Install Space",
   "zh": "Catkin 安装空间",
   "level": "l3"
  },
  "CAP_518b8e9c": {
   "en": "Catkin Overlay Chain",
   "zh": "Catkin Overlay 链",
   "level": "l3"
  },
  "CAP_a417bfba": {
   "en": "Catkin Tools Workspace Init and Config",
   "zh": "Catkin Tools 工作空间初始化与持久化配置",
   "level": "l2"
  },
  "CAP_bdeefb4b": {
   "en": "Catkin Tools Workspace Init",
   "zh": "Catkin Tools 工作空间初始化",
   "level": "l3"
  },
  "CAP_1c36cb64": {
   "en": "Catkin Tools Persistent Config",
   "zh": "Catkin Tools 持久化配置",
   "level": "l3"
  },
  "CAP_bd30d6ce": {
   "en": "Catkin Profile Multi Config",
   "zh": "Catkin Profile 多配置",
   "level": "l3"
  },
  "CAP_eef77d4d": {
   "en": "Catkin Build Isolated Parallel",
   "zh": "Catkin Build 隔离并行构建",
   "level": "l2"
  },
  "CAP_bc8fa946": {
   "en": "Catkin Build All",
   "zh": "Catkin Build 全量构建",
   "level": "l3"
  },
  "CAP_47dbb83d": {
   "en": "Catkin Build Subset",
   "zh": "Catkin Build 子集构建",
   "level": "l3"
  },
  "CAP_07afcead": {
   "en": "Catkin Job Control",
   "zh": "Catkin 作业调度控制",
   "level": "l3"
  },
  "CAP_8fcd5abb": {
   "en": "Catkin Devel Layout Strategy",
   "zh": "Catkin Devel 布局策略",
   "level": "l3"
  },
  "CAP_21d9d798": {
   "en": "Catkin Make Migration and Debug",
   "zh": "Catkin_make 迁移与排障",
   "level": "l2"
  },
  "CAP_6d3d186c": {
   "en": "Catkin Make Migration Steps",
   "zh": "Catkin_make 迁移步骤",
   "level": "l3"
  },
  "CAP_08b7127a": {
   "en": "Catkin Migration Debug",
   "zh": "Catkin 迁移排障",
   "level": "l3"
  },
  "CAP_753b98cd": {
   "en": "Catkin Clean and Environment",
   "zh": "Catkin 清理与环境",
   "level": "l2"
  },
  "CAP_f2af9200": {
   "en": "Catkin Clean",
   "zh": "Catkin 清理",
   "level": "l3"
  },
  "CAP_07b7164c": {
   "en": "Catkin Env and Locate",
   "zh": "Catkin 环境与路径定位",
   "level": "l3"
  },
  "CAP_2f59fb2b": {
   "en": "Catkin Test Gate",
   "zh": "Catkin 测试门控",
   "level": "l3"
  },
  "CAP_01438c88": {
   "en": "Catkin Test Target Registration",
   "zh": "Catkin 测试目标注册",
   "level": "l2"
  },
  "CAP_9a941d08": {
   "en": "Catkin Gtest Register",
   "zh": "Catkin Gtest 注册",
   "level": "l3"
  },
  "CAP_31207525": {
   "en": "Catkin Rostest Register",
   "zh": "Catkin Rostest 注册",
   "level": "l3"
  },
  "CAP_c1296a4f": {
   "en": "Catkin Python Test Register",
   "zh": "Catkin Python 测试注册",
   "level": "l3"
  },
  "CAP_b2fc210c": {
   "en": "Catkin Test Execution",
   "zh": "Catkin 测试执行",
   "level": "l3"
  },
  "CAP_460d2878": {
   "en": "Catkin Test Results Aggregation",
   "zh": "Catkin 测试结果汇总",
   "level": "l3"
  },
  "CAP_c8b16b7c": {
   "en": "ROS CI and Prerelease Test",
   "zh": "ROS CI 与 Prerelease 测试集成",
   "level": "l2"
  },
  "CAP_fa08bbd8": {
   "en": "ROS CI Integration",
   "zh": "ROS CI 集成",
   "level": "l3"
  },
  "CAP_aa8e8eb2": {
   "en": "Bloom Release Execution",
   "zh": "Bloom Release 执行",
   "level": "l3"
  },
  "CAP_72c6fcdd": {
   "en": "ROSdistro PR Notification",
   "zh": "ROSdistro PR 通知",
   "level": "l3"
  },
  "CAP_d3f3874b": {
   "en": "ROS Buildfarm Compile and Sync",
   "zh": "ROS Buildfarm 编译与 Sync",
   "level": "l2"
  },
  "CAP_96705d3a": {
   "en": "ROS Buildfarm Building",
   "zh": "ROS Buildfarm 编译",
   "level": "l3"
  },
  "CAP_04f8e344": {
   "en": "ROS Testing Soak",
   "zh": "ROS Testing 浸泡",
   "level": "l3"
  },
  "CAP_baca4c32": {
   "en": "ROS Apt Sync",
   "zh": "ROS Apt 源 Sync",
   "level": "l3"
  },
  "CAP_0feb3567": {
   "en": "roscpp Client Library",
   "zh": "roscpp客户端库",
   "level": "l2"
  },
  "CAP_94fe6bcb": {
   "en": "Topic Pub-Sub (roscpp)",
   "zh": "roscpp话题发布订阅",
   "level": "l3"
  },
  "CAP_c6bf516e": {
   "en": "Callback Queue Spinning (roscpp)",
   "zh": "roscpp回调队列调度",
   "level": "l3"
  },
  "CAP_ce7c7887": {
   "en": "Service Call (roscpp)",
   "zh": "roscpp服务调用",
   "level": "l3"
  },
  "CAP_06cbf61d": {
   "en": "rospy Client Library",
   "zh": "rospy客户端库",
   "level": "l2"
  },
  "CAP_48a5652b": {
   "en": "Topic Pub-Sub (rospy)",
   "zh": "rospy话题发布订阅",
   "level": "l3"
  },
  "CAP_304ad6c9": {
   "en": "Per-Subscriber Thread Spinning (rospy)",
   "zh": "rospy每订阅者线程回调",
   "level": "l3"
  },
  "CAP_22adc6e5": {
   "en": "Service Call (rospy)",
   "zh": "rospy服务调用",
   "level": "l3"
  },
  "CAP_386da223": {
   "en": "Message Description and Serialization",
   "zh": "消息描述与序列化",
   "level": "l2"
  },
  "CAP_6cfd8232": {
   "en": "Msg and Srv DSL Definition",
   "zh": "消息与服务DSL定义",
   "level": "l3"
  },
  "CAP_e09029a2": {
   "en": "Message Code Generation",
   "zh": "消息代码生成",
   "level": "l3"
  },
  "CAP_48aeeae9": {
   "en": "MD5 Type Fingerprinting",
   "zh": "MD5类型指纹",
   "level": "l3"
  },
  "CAP_a368c91e": {
   "en": "Binary Message Serialization",
   "zh": "消息二进制序列化",
   "level": "l3"
  },
  "CAP_3f1b8761": {
   "en": "Topic Transport Wire Protocol",
   "zh": "话题传输线缆协议",
   "level": "l2"
  },
  "CAP_5155150a": {
   "en": "Slave API Connection Negotiation",
   "zh": "Slave API连接协商",
   "level": "l3"
  },
  "CAP_91abc951": {
   "en": "TCPROS TCP Transport",
   "zh": "TCPROS传输",
   "level": "l3"
  },
  "CAP_ee512e95": {
   "en": "UDPROS Datagram Transport",
   "zh": "UDPROS数据报传输",
   "level": "l3"
  },
  "CAP_6d4e460a": {
   "en": "Connection Header Exchange",
   "zh": "连接头交换",
   "level": "l3"
  },
  "CAP_3c55ed7b": {
   "en": "actionlib Action Protocol",
   "zh": "actionlib动作通信协议",
   "level": "l2"
  },
  "CAP_e95a9b5d": {
   "en": "Action Interface Generation",
   "zh": "Action接口生成",
   "level": "l3"
  },
  "CAP_df319068": {
   "en": "Static Map Server Loading",
   "zh": "静态地图服务器加载",
   "level": "l3"
  },
  "CAP_89081e5b": {
   "en": "Global Costmap Static Inflation Configuration",
   "zh": "全局代价地图静态与膨胀层配置",
   "level": "l3"
  },
  "CAP_e6461b58": {
   "en": "Global Local Planning Pipeline (DWA)",
   "zh": "全局与局部规划流水线（DWA）",
   "level": "l2"
  },
  "CAP_02d102a5": {
   "en": "Oscillation Detection and Recovery Trigger",
   "zh": "振荡检测与恢复触发",
   "level": "l3"
  },
  "CAP_63cfdf73": {
   "en": "TEB Optimization Local Planning Pipeline",
   "zh": "TEB优化型局部规划流水线",
   "level": "l2"
  },
  "CAP_940d3fe7": {
   "en": "TEB Pose-Time Sequence Initialization",
   "zh": "TEB位姿-时间序列初始化",
   "level": "l3"
  },
  "CAP_4936f3f3": {
   "en": "TEB g2o Hypergraph Optimization",
   "zh": "TEB g2o超图优化",
   "level": "l3"
  },
  "CAP_c2445430": {
   "en": "Carlike Kinematic Constraint Encoding",
   "zh": "类车型运动学约束编码",
   "level": "l3"
  },
  "CAP_b8a90ac8": {
   "en": "Motion Primitive Lattice Construction",
   "zh": "运动基元格子构图",
   "level": "l3"
  },
  "CAP_19c95263": {
   "en": "State ID Path Conversion and Cost Mapping",
   "zh": "状态ID路径转换与代价映射",
   "level": "l3"
  },
  "CAP_280f0bd8": {
   "en": "sbpl recovery and Clear Costmap Recovery",
   "zh": "sbpl恢复与清除代价地图恢复",
   "level": "l3"
  },
  "CAP_112fe9d4": {
   "en": "TF Tree Construction and Broadcasting",
   "zh": "TF树构建与广播",
   "level": "l2"
  },
  "CAP_b1868c2f": {
   "en": "Static Transform Broadcasting",
   "zh": "静态坐标变换广播",
   "level": "l3"
  },
  "CAP_1c75d627": {
   "en": "TF Buffer and Listener Initialization",
   "zh": "TF缓冲与监听器初始化",
   "level": "l3"
  },
  "CAP_b68397ac": {
   "en": "Latest Transform Lookup",
   "zh": "最新变换查询",
   "level": "l3"
  },
  "CAP_6089a3c8": {
   "en": "Timed Transform Lookup with Timeout",
   "zh": "带超时的定时变换查询",
   "level": "l3"
  },
  "CAP_5696f14e": {
   "en": "Cross-Time Transform via Fixed Frame",
   "zh": "跨时间坐标变换",
   "level": "l3"
  },
  "CAP_d902a600": {
   "en": "TF Tree Debugging and Validation",
   "zh": "TF树调试与验证",
   "level": "l2"
  },
  "CAP_d60b7888": {
   "en": "Frame Tree PDF Generation",
   "zh": "帧树PDF生成",
   "level": "l3"
  },
  "CAP_ccfec1b1": {
   "en": "Real-time TF Tree GUI Visualization",
   "zh": "实时TF树GUI可视化",
   "level": "l3"
  },
  "CAP_cc7c8502": {
   "en": "Transform Echo Inspection",
   "zh": "变换值实时检查",
   "level": "l3"
  },
  "CAP_af018388": {
   "en": "Transform Frequency and Delay Monitoring",
   "zh": "变换频率与延迟监控",
   "level": "l3"
  },
  "CAP_8e2de08c": {
   "en": "Timestamp and Connectivity Diagnosis",
   "zh": "时间戳与连通性诊断",
   "level": "l3"
  },
  "CAP_816cc2ac": {
   "en": "Rotary Mechanism Constraint Modeling",
   "zh": "旋转机构约束建模",
   "level": "l2"
  },
  "CAP_e67a077d": {
   "en": "Rotary Screw-Constraint Parameterization",
   "zh": "旋转机构螺旋约束参数化",
   "level": "l3"
  },
  "CAP_0faf3a04": {
   "en": "Rotary Workspace Reachability Check",
   "zh": "旋转机构可达性检查",
   "level": "l3"
  },
  "CAP_fb60a982": {
   "en": "Screw-Constrained Motion Planning",
   "zh": "螺旋约束运动规划",
   "level": "l2"
  },
  "CAP_7cb0cfd8": {
   "en": "Constrained Manifold Joint-Trajectory Sampling",
   "zh": "约束流形关节轨迹采样",
   "level": "l3"
  },
  "CAP_0f6783b1": {
   "en": "Constrained Trajectory Collision Verification",
   "zh": "约束轨迹碰撞验证",
   "level": "l3"
  },
  "CAP_3f15fdcd": {
   "en": "Rotation-Limit Regrasp Planning",
   "zh": "旋转极限重抓取规划",
   "level": "l2"
  },
  "CAP_55fb95a1": {
   "en": "Gripper Rotation-Limit Detection",
   "zh": "夹爪旋转极限检测",
   "level": "l3"
  },
  "CAP_b9b8869a": {
   "en": "Regrasp Reorientation Planning",
   "zh": "重抓取重定向规划",
   "level": "l3"
  },
  "CAP_d3055826": {
   "en": "Constrained Trajectory Execution",
   "zh": "约束轨迹执行",
   "level": "l2"
  },
  "CAP_257d03ab": {
   "en": "Force-Adaptive Constrained Trajectory Execution",
   "zh": "力自适应约束轨迹执行",
   "level": "l3"
  },
  "CAP_8345ed01": {
   "en": "Force-Position Hybrid Screw Unscrewing Control",
   "zh": "力位混合螺纹旋拧控制",
   "level": "l2"
  },
  "CAP_1db82bb3": {
   "en": "Helical Thread Path Following",
   "zh": "螺旋纹路径跟随",
   "level": "l3"
  },
  "CAP_a0e9a4af": {
   "en": "Grasp Force Regulation",
   "zh": "抓握力调节",
   "level": "l3"
  },
  "CAP_fe9297ec": {
   "en": "Rotary Axis Alignment",
   "zh": "旋转轴对准",
   "level": "l3"
  },
  "CAP_a5c8beb4": {
   "en": "Torque Feedback Slip-Stuck Detection",
   "zh": "扭矩反馈打滑卡滞检测",
   "level": "l3"
  },
  "CAP_d3087817": {
   "en": "DRL Rotation Angle Increment Policy",
   "zh": "DRL旋转角度增量策略",
   "level": "l3"
  },
  "CAP_aa52b02b": {
   "en": "Learning-based In-Hand Object Rotation",
   "zh": "学习型手内物体旋转",
   "level": "l2"
  },
  "CAP_a03c4b07": {
   "en": "Privileged Object Property Embedding",
   "zh": "特惠物体属性嵌入",
   "level": "l3"
  },
  "CAP_56e9a01b": {
   "en": "Initial Rotation Grasp State Design",
   "zh": "初始旋转抓持状态设计",
   "level": "l3"
  },
  "CAP_de773122": {
   "en": "Continuous Rotation Reward Shaping",
   "zh": "连续旋转奖励设计",
   "level": "l3"
  },
  "CAP_e7893622": {
   "en": "RoI Transformer Rotation Learning",
   "zh": "RoI 旋转变换学习",
   "level": "l3"
  },
  "CAP_fe5f3c09": {
   "en": "Two-Stage Oriented BBox Refinement",
   "zh": "二阶段定向框精修",
   "level": "l3"
  },
  "CAP_dfe4ba88": {
   "en": "Angle Representation & Differentiable Loss",
   "zh": "角度表示与可微损失",
   "level": "l2"
  },
  "CAP_e5905f9d": {
   "en": "Gaussian Wasserstein Rotated Box Loss",
   "zh": "高斯 Wasserstein 旋转框损失",
   "level": "l3"
  },
  "CAP_a4bda0ea": {
   "en": "Circular Smooth Label Angle Coding",
   "zh": "环形平滑标签角度编码",
   "level": "l3"
  },
  "CAP_04b1d513": {
   "en": "Rotated Feature Refinement Module",
   "zh": "旋转特征精炼模块",
   "level": "l3"
  },
  "CAP_2ebec740": {
   "en": "Point Quadrilateral Rotated Box Representation",
   "zh": "点/四边形旋转框表示",
   "level": "l2"
  },
  "CAP_870ae003": {
   "en": "Gliding Vertex Ratio Regression",
   "zh": "顶点滑动比回归",
   "level": "l3"
  },
  "CAP_151865bd": {
   "en": "Point-Set Modulated Loss for Rotated Detection",
   "zh": "点集调制损失",
   "level": "l3"
  },
  "CAP_a143ac35": {
   "en": "ImageRotationAugmentation",
   "zh": "图像旋转增强",
   "level": "l3"
  },
  "CAP_7a54d639": {
   "en": "Move Base Rotate Recovery",
   "zh": "move_base 旋转恢复",
   "level": "l2"
  },
  "CAP_9484eb2d": {
   "en": "Rotate Recovery Two Phase Rotation Loop",
   "zh": "旋转恢复两阶段旋转循环",
   "level": "l3"
  },
  "CAP_b6e77021": {
   "en": "Per Degree Footprint Cost Collision Check",
   "zh": "逐度足迹代价碰撞检查",
   "level": "l3"
  },
  "CAP_b74cb145": {
   "en": "Rotation Velocity Computation and Publish",
   "zh": "旋转速度计算与发布",
   "level": "l3"
  },
  "CAP_b7e996be": {
   "en": "Spin Forward Simulation Collision Check",
   "zh": "Spin 前向仿真碰撞检查",
   "level": "l3"
  },
  "CAP_0a488616": {
   "en": "Terrain Sensing & Point Cloud Acquisition",
   "zh": "地形感知与点云采集",
   "level": "l2"
  },
  "CAP_02dd1528": {
   "en": "Goal-Directed Perceptive Locomotion Navigation",
   "zh": "目标导向感知运动导航",
   "level": "l3"
  },
  "CAP_3b372a9c": {
   "en": "Configuration Stability Estimation",
   "zh": "构型稳定性估计",
   "level": "l3"
  },
  "CAP_1aececdd": {
   "en": "Terrain-Cost Lattice Global Planning",
   "zh": "地形代价lattice全局规划",
   "level": "l3"
  },
  "CAP_7ba20e9a": {
   "en": "Learned-Cost Local Planning",
   "zh": "学习代价局部规划",
   "level": "l3"
  },
  "CAP_8b74bce6": {
   "en": "Online Field Navigation Adaptation",
   "zh": "在线野外导航适配",
   "level": "l3"
  },
  "CAP_f6ac0e17": {
   "en": "Rounded Edge Design",
   "zh": "圆角边缘设计",
   "level": "l2"
  },
  "CAP_00972782": {
   "en": "Exposed Edge Classification",
   "zh": "外露边缘识别与分类",
   "level": "l3"
  },
  "CAP_0a561752": {
   "en": "Standard-Driven Radius Extraction",
   "zh": "标准驱动的最小圆角半径提取",
   "level": "l3"
  },
  "CAP_f2907df9": {
   "en": "Radius Specification Generation",
   "zh": "圆角半径需求规格表生成",
   "level": "l3"
  },
  "CAP_6e94bf74": {
   "en": "Fillet Chamfer Feature Application",
   "zh": "圆角倒角几何特征应用",
   "level": "l3"
  },
  "CAP_1926e90c": {
   "en": "DFM Manufacturing Feasibility Check",
   "zh": "DFM制造可行性检查",
   "level": "l3"
  },
  "CAP_5ae5f4fe": {
   "en": "Stress Concentration Assessment",
   "zh": "应力集中系数评估",
   "level": "l3"
  },
  "CAP_9547e3f0": {
   "en": "Edge Safety Verification",
   "zh": "边缘安全验证",
   "level": "l3"
  },
  "CAP_ca2cbb75": {
   "en": "Edge Collision Risk Classification",
   "zh": "边缘碰撞风险分级",
   "level": "l3"
  },
  "CAP_4735d58e": {
   "en": "Buffer Material Property Matching",
   "zh": "缓冲材料属性匹配",
   "level": "l3"
  },
  "CAP_fbe4360a": {
   "en": "Buffer Structure Type Selection",
   "zh": "缓冲结构方案选择",
   "level": "l3"
  },
  "CAP_8fa8b67b": {
   "en": "Fixing and Deformation Design",
   "zh": "固定方案与形变空间设计",
   "level": "l3"
  },
  "CAP_81a66a8b": {
   "en": "Buffer Wrapping Design Output",
   "zh": "缓冲包裹设计方案输出",
   "level": "l3"
  },
  "CAP_c46121c2": {
   "en": "Collision Force Testing",
   "zh": "碰撞力测试",
   "level": "l3"
  },
  "CAP_bf5871d5": {
   "en": "Cutting Risk Elimination Verification",
   "zh": "切割风险消除验证",
   "level": "l3"
  },
  "CAP_4949b78c": {
   "en": "Drop Impact Testing",
   "zh": "跌落冲击测试",
   "level": "l3"
  },
  "CAP_6f568d51": {
   "en": "ROV Pilot Input Parsing",
   "zh": "ROV飞行员输入解析",
   "level": "l2"
  },
  "CAP_547a01b9": {
   "en": "MAVLink Manual Control Parsing",
   "zh": "MAVLink手动控制协议解析",
   "level": "l3"
  },
  "CAP_699e63ad": {
   "en": "Flight Mode Dispatch",
   "zh": "飞行模式状态机调度",
   "level": "l3"
  },
  "CAP_e4f78bc9": {
   "en": "ROV Closed-Loop Flight Control",
   "zh": "ROV闭环飞行控制",
   "level": "l2"
  },
  "CAP_a19c1bd9": {
   "en": "Attitude Stabilization Control",
   "zh": "姿态稳定控制",
   "level": "l3"
  },
  "CAP_1414ddb5": {
   "en": "Depth Hold Control",
   "zh": "深度保持控制",
   "level": "l3"
  },
  "CAP_bbfb5eda": {
   "en": "Position Hold Control",
   "zh": "位置保持控制",
   "level": "l3"
  },
  "CAP_4339bd01": {
   "en": "Thruster Allocation and Output",
   "zh": "推力分配与输出",
   "level": "l2"
  },
  "CAP_e9a83358": {
   "en": "Vectored Thruster Allocation",
   "zh": "矢量推进器分配",
   "level": "l3"
  },
  "CAP_ea3a237e": {
   "en": "ESC PWM Output",
   "zh": "ESC PWM信号输出",
   "level": "l3"
  },
  "CAP_6c7f3210": {
   "en": "External Setpoint Control",
   "zh": "外部设定点控制",
   "level": "l2"
  },
  "CAP_1888ff11": {
   "en": "Guided Setpoint Tracking",
   "zh": "引导模式设定点跟踪",
   "level": "l3"
  },
  "CAP_776204dd": {
   "en": "Thruster Dynamics Simulation",
   "zh": "推力器动力学仿真",
   "level": "l3"
  },
  "CAP_87707bfc": {
   "en": "Thrust Allocation and Simulation",
   "zh": "推力分配与仿真执行",
   "level": "l2"
  },
  "CAP_794639de": {
   "en": "Thruster Allocation Matrix",
   "zh": "推力分配矩阵",
   "level": "l3"
  },
  "CAP_5936761f": {
   "en": "Underwater Disturbance Simulation",
   "zh": "水下扰动仿真",
   "level": "l2"
  },
  "CAP_b5ee5d3f": {
   "en": "Ocean Current Simulation",
   "zh": "海流扰动仿真",
   "level": "l3"
  },
  "CAP_eaa45171": {
   "en": "Underwater Robot Model Loading",
   "zh": "水下机器人模型加载",
   "level": "l3"
  },
  "CAP_4d2b080a": {
   "en": "Work-Class ROV Pilot and Mode Management",
   "zh": "工作级ROV驾驶员输入与模式管理",
   "level": "l2"
  },
  "CAP_8326acf7": {
   "en": "Pilot Station Input Parsing",
   "zh": "驾驶员站输入解析",
   "level": "l3"
  },
  "CAP_cb054c2b": {
   "en": "Multi-Mode Dispatch",
   "zh": "多模式分发",
   "level": "l3"
  },
  "CAP_b70eec89": {
   "en": "ROV Multisensor Fusion and State Estimation",
   "zh": "ROV多源融合与状态估计",
   "level": "l2"
  },
  "CAP_363da85f": {
   "en": "Multisensor Fusion (USBL+DVL+INS)",
   "zh": "多源传感器融合",
   "level": "l3"
  },
  "CAP_c95738de": {
   "en": "ROV State Estimation (Kalman)",
   "zh": "ROV卡尔曼状态估计",
   "level": "l3"
  },
  "CAP_0f2f09c2": {
   "en": "Work-Class ROV Multi-Mode Control",
   "zh": "工作级ROV多模式控制",
   "level": "l2"
  },
  "CAP_50077409": {
   "en": "Auto-Heading PID Control",
   "zh": "自动航向PID控制",
   "level": "l3"
  },
  "CAP_eedb45a7": {
   "en": "Auto-Depth PID Control",
   "zh": "自动深度PID控制",
   "level": "l3"
  },
  "CAP_deaa6a74": {
   "en": "Station Keep Multivariable Control",
   "zh": "站位保持多变量控制",
   "level": "l3"
  },
  "CAP_4ddcaa70": {
   "en": "Dynamic Positioning Optimization Control",
   "zh": "动力定位优化控制",
   "level": "l3"
  },
  "CAP_ef2845b2": {
   "en": "Work-Class Thruster Allocation and Execution",
   "zh": "工作级推力分配与执行",
   "level": "l2"
  },
  "CAP_ca061417": {
   "en": "Work-Class Thruster Allocation",
   "zh": "工作级推力分配",
   "level": "l3"
  },
  "CAP_784d8089": {
   "en": "Hydraulic Thruster Execution",
   "zh": "液压推进器执行",
   "level": "l3"
  },
  "CAP_ea529977": {
   "en": "RTK Base-Rover Localization Pipeline",
   "zh": "RTK 基准站-流动站定位管线",
   "level": "l2"
  },
  "CAP_b5d5300d": {
   "en": "RTK Base Station Configuration and RTCM Broadcast",
   "zh": "RTK 基准站配置与 RTCM 广播",
   "level": "l3"
  },
  "CAP_fe982e75": {
   "en": "RTCM3 Differential Correction Reception and Parsing",
   "zh": "RTCM3 差分改正接收与解析",
   "level": "l3"
  },
  "CAP_5edb69a1": {
   "en": "Local Data-Link RTCM Injection",
   "zh": "本地数据链 RTCM 注入",
   "level": "l3"
  },
  "CAP_451f8942": {
   "en": "RTK Fixed Solution Validation",
   "zh": "RTK 固定解校验",
   "level": "l3"
  },
  "CAP_779d4413": {
   "en": "Network RTK NTRIP-VRS Localization Pipeline",
   "zh": "网络 RTK NTRIP-VRS 定位管线",
   "level": "l2"
  },
  "CAP_30abbdb1": {
   "en": "NTRIP Client Connection and Authentication",
   "zh": "NTRIP 客户端接入与认证",
   "level": "l3"
  },
  "CAP_70efdc77": {
   "en": "VRS Network Correction Reception with GGA Feedback",
   "zh": "GGA 上报与 VRS 网络改正接收",
   "level": "l3"
  },
  "CAP_b80b80a2": {
   "en": "Network RTK Outage Detection and Reconvergence",
   "zh": "网络 RTK 失效检测与重收敛",
   "level": "l3"
  },
  "CAP_58d6bf49": {
   "en": "Datalog Rule Materialization",
   "zh": "Datalog 规则实体化推理",
   "level": "l2"
  },
  "CAP_8ced3967": {
   "en": "RDF Data Source Loading",
   "zh": "RDF 数据源加载",
   "level": "l3"
  },
  "CAP_c8fbda12": {
   "en": "Materialized Graph Query",
   "zh": "实体化图谱查询",
   "level": "l3"
  },
  "CAP_6a5eaf13": {
   "en": "SWRL Rule Definition",
   "zh": "SWRL 规则定义",
   "level": "l3"
  },
  "CAP_eb3d6c32": {
   "en": "SWRL Rule Application",
   "zh": "SWRL 规则应用",
   "level": "l3"
  },
  "CAP_309059c4": {
   "en": "Horn Rule Mining",
   "zh": "Horn 规则挖掘",
   "level": "l2"
  },
  "CAP_e9b31afb": {
   "en": "Candidate Rule Generation",
   "zh": "候选规则生成",
   "level": "l3"
  },
  "CAP_6a74ede5": {
   "en": "Rule Quality Scoring",
   "zh": "规则质量评分",
   "level": "l3"
  },
  "CAP_a1c81eb7": {
   "en": "Mined Rule Application",
   "zh": "挖掘规则应用",
   "level": "l3"
  },
  "CAP_96800351": {
   "en": "Runtime Symbolic Plan Validation",
   "zh": "运行时符号计划验证",
   "level": "l2"
  },
  "CAP_24694413": {
   "en": "Runtime Plan KB Snapshot",
   "zh": "运行时计划知识库快照",
   "level": "l3"
  },
  "CAP_8701fc78": {
   "en": "PDDL Suffix Re-validation",
   "zh": "PDDL 后缀再验证",
   "level": "l3"
  },
  "CAP_410f36e5": {
   "en": "Remaining Plan Projection",
   "zh": "剩余计划前向投影",
   "level": "l3"
  },
  "CAP_9cc1bd33": {
   "en": "Runtime Plan Feasibility Simulation",
   "zh": "运行时计划可行性仿真",
   "level": "l2"
  },
  "CAP_c5e8f66b": {
   "en": "Plan Action Sim Rollout",
   "zh": "计划动作仿真前推",
   "level": "l3"
  },
  "CAP_d2fb79a7": {
   "en": "Sim Feasibility Verdict",
   "zh": "仿真可行性判决",
   "level": "l3"
  },
  "CAP_ff5b4c0f": {
   "en": "Safety Alert and Warning System",
   "zh": "安全预警系统",
   "level": "l2"
  },
  "CAP_22ce8aa1": {
   "en": "Safety Event Intake and Validation",
   "zh": "安全事件接收与验证",
   "level": "l3"
  },
  "CAP_582476e3": {
   "en": "Alert Safety Function PLr Confirmation",
   "zh": "报警安全功能PLr确认",
   "level": "l3"
  },
  "CAP_71d450d4": {
   "en": "Safety Rated Output Generation",
   "zh": "安全等级输出生成",
   "level": "l3"
  },
  "CAP_44312b3f": {
   "en": "Safety Bus Alert Distribution",
   "zh": "安全总线报警分发",
   "level": "l3"
  },
  "CAP_64a4af61": {
   "en": "Certified Alert Actuator Driving",
   "zh": "认证报警执行器驱动",
   "level": "l3"
  },
  "CAP_3270ffc0": {
   "en": "Alert Severity Grading",
   "zh": "警示严重度分级",
   "level": "l3"
  },
  "CAP_a8e89ebc": {
   "en": "Visual Alert Encoding",
   "zh": "视觉警示编码",
   "level": "l3"
  },
  "CAP_42da64fe": {
   "en": "Visual Warning Generation",
   "zh": "视觉警示生成",
   "level": "l3"
  },
  "CAP_ea22bf31": {
   "en": "Auditory Warning Generation",
   "zh": "听觉警示生成",
   "level": "l3"
  },
  "CAP_97baf9f5": {
   "en": "Haptic Warning Generation",
   "zh": "触觉警示生成",
   "level": "l3"
  },
  "CAP_db3dfb81": {
   "en": "Multimodal Warning Fusion",
   "zh": "多模态警示融合",
   "level": "l3"
  },
  "CAP_036524bd": {
   "en": "Alert QoS Retransmission",
   "zh": "告警QoS重传",
   "level": "l3"
  },
  "CAP_97e9263e": {
   "en": "Remote Alert Delivery",
   "zh": "远程告警送达",
   "level": "l3"
  },
  "CAP_589be944": {
   "en": "Fleet Alert Aggregation",
   "zh": "舰队告警聚合",
   "level": "l3"
  },
  "CAP_b8e82948": {
   "en": "Black-Channel Safety Communication Architecture Design",
   "zh": "黑通道安全通信架构设计",
   "level": "l2"
  },
  "CAP_b496acae": {
   "en": "Robot Integrated Safety Architecture Design",
   "zh": "机器人集成安全架构设计",
   "level": "l2"
  },
  "CAP_98e31d7e": {
   "en": "Common Cause Failure Mitigation Design",
   "zh": "共因失效缓解设计",
   "level": "l3"
  },
  "CAP_e77c6bc2": {
   "en": "Black Channel Safety Layer Design",
   "zh": "黑通道安全层设计",
   "level": "l3"
  },
  "CAP_3d749d1b": {
   "en": "Safety Communication Error Coverage Design",
   "zh": "安全通信错误覆盖设计",
   "level": "l3"
  },
  "CAP_0bfb7a36": {
   "en": "Safety Communication Profile Selection",
   "zh": "安全通信行规选择",
   "level": "l3"
  },
  "CAP_8b41bee7": {
   "en": "Collaborative Mode Deployment",
   "zh": "协作模式部署",
   "level": "l3"
  },
  "CAP_da963ef6": {
   "en": "Drive Safety Function Execution",
   "zh": "驱动安全功能执行",
   "level": "l3"
  },
  "CAP_3390f151": {
   "en": "Cross-Processor Safety Monitoring Watchdog",
   "zh": "跨处理器安全监控看门狗",
   "level": "l3"
  },
  "CAP_d3c7ee0d": {
   "en": "GSN Top-Level Goal Definition",
   "zh": "GSN 顶层安全目标定义",
   "level": "l3"
  },
  "CAP_733531da": {
   "en": "GSN Context and Assumption Declaration",
   "zh": "GSN 上下文与假设声明",
   "level": "l3"
  },
  "CAP_de9d43f2": {
   "en": "GSN Argument Decomposition",
   "zh": "GSN 论证分解",
   "level": "l3"
  },
  "CAP_e30ab4ea": {
   "en": "GSN Solution Attachment",
   "zh": "GSN 证据节点挂接",
   "level": "l3"
  },
  "CAP_7f3f3709": {
   "en": "GSN Structure Validation",
   "zh": "GSN 结构校验",
   "level": "l3"
  },
  "CAP_7a14736f": {
   "en": "GSN Case Export",
   "zh": "GSN 案例导出",
   "level": "l3"
  },
  "CAP_6adecc47": {
   "en": "Evidence Coverage Evaluation",
   "zh": "证据覆盖度评估",
   "level": "l3"
  },
  "CAP_b31e1b5b": {
   "en": "Evidence Credibility Assessment",
   "zh": "证据可信度评估",
   "level": "l3"
  },
  "CAP_695cd398": {
   "en": "Evidence Consistency Analysis",
   "zh": "证据一致性分析",
   "level": "l3"
  },
  "CAP_74eac0c7": {
   "en": "Evidence Gap Filling",
   "zh": "证据缺口回补",
   "level": "l3"
  },
  "CAP_bf0f3f96": {
   "en": "Certification Compliance Synthesis",
   "zh": "安全认证合规综合",
   "level": "l2"
  },
  "CAP_f7302b4f": {
   "en": "Safety Model Cross-Validation",
   "zh": "安全模型交叉验证",
   "level": "l2"
  },
  "CAP_5c32594a": {
   "en": "Safety Standard Compliance Mapping",
   "zh": "标准合规映射",
   "level": "l3"
  },
  "CAP_32b2bed1": {
   "en": "RSS Model Cross-Validation",
   "zh": "RSS 模型交叉验证",
   "level": "l3"
  },
  "CAP_29e79f57": {
   "en": "Compliance Artifact Packaging",
   "zh": "合规工件打包",
   "level": "l3"
  },
  "CAP_36bc7b44": {
   "en": "Certification Body Engagement",
   "zh": "认证机构选型与评估启动",
   "level": "l3"
  },
  "CAP_01115949": {
   "en": "SOTIF Acceptability Assessment",
   "zh": "SOTIF 可接受性评估",
   "level": "l3"
  },
  "CAP_2b65c445": {
   "en": "Reachable Set Safety Verification",
   "zh": "可达集安全验证",
   "level": "l2"
  },
  "CAP_01f3e503": {
   "en": "Closed-Loop NNCS Encoding",
   "zh": "闭环神经控制系统编码",
   "level": "l3"
  },
  "CAP_28026def": {
   "en": "Unsafe Set Emptiness Check",
   "zh": "不安全集交集空集判定",
   "level": "l3"
  },
  "CAP_64821941": {
   "en": "Safety Certificate Condition Encoding",
   "zh": "安全证书条件编码",
   "level": "l3"
  },
  "CAP_1943e85b": {
   "en": "CEGIS Safety Certificate Synthesis",
   "zh": "CEGIS安全证书综合",
   "level": "l3"
  },
  "CAP_7c7b4f7f": {
   "en": "Safety Certificate Counterexample Search",
   "zh": "安全证书反例搜索",
   "level": "l3"
  },
  "CAP_ae19a9f7": {
   "en": "Probabilistic Safety Certification",
   "zh": "概率安全认证",
   "level": "l2"
  },
  "CAP_0db90de6": {
   "en": "MDP Abstraction for Safety",
   "zh": "安全MDP抽象构建",
   "level": "l3"
  },
  "CAP_64087c18": {
   "en": "Probabilistic Model Checking Safety",
   "zh": "概率模型检查安全验证",
   "level": "l3"
  },
  "CAP_161bd6fa": {
   "en": "Statistical PAC Safety Certification",
   "zh": "统计PAC安全认证",
   "level": "l3"
  },
  "CAP_3e1c7694": {
   "en": "Certification Preparation & Body Engagement",
   "zh": "认证准备与机构选型",
   "level": "l2"
  },
  "CAP_34d6fe1e": {
   "en": "Certification Scope & DIA Definition",
   "zh": "认证范围与开发接口协议定义",
   "level": "l3"
  },
  "CAP_a60b2003": {
   "en": "Assessment Coordination & Findings Closure",
   "zh": "评估协调与发现项闭环",
   "level": "l2"
  },
  "CAP_c6f9a7cd": {
   "en": "Document Review & On-site Assessment Coordination",
   "zh": "文档审核与现场评估协调",
   "level": "l3"
  },
  "CAP_fb9fbf10": {
   "en": "Assessment Findings Tracking & Closure",
   "zh": "评估发现项跟踪与闭环",
   "level": "l3"
  },
  "CAP_048b0466": {
   "en": "Certificate Issuance & Maintenance",
   "zh": "证书签发与认证维持",
   "level": "l2"
  },
  "CAP_251da8a0": {
   "en": "Functional Safety Certificate Issuance",
   "zh": "功能安全合规证书签发",
   "level": "l3"
  },
  "CAP_bf9a6ea6": {
   "en": "Surveillance Audit & Change-driven Re-certification",
   "zh": "监督审核与变更驱动再认证",
   "level": "l3"
  },
  "CAP_f8f0f7a8": {
   "en": "Airworthiness Certification Liaison & Planning",
   "zh": "审定联络与计划达成",
   "level": "l2"
  },
  "CAP_f5dde72d": {
   "en": "Certification Authority Liaison Establishment",
   "zh": "审定联络建立（DER/DOAL）",
   "level": "l3"
  },
  "CAP_58784a54": {
   "en": "PSAC Compilation & Authority Agreement",
   "zh": "软件审定计划编制与局方达成一致",
   "level": "l3"
  },
  "CAP_08f852ca": {
   "en": "SOI Audit Stage Coordination",
   "zh": "SOI 阶段介入审查协调",
   "level": "l2"
  },
  "CAP_d3e00f2d": {
   "en": "SOI#2/#3 Stage Review Coordination",
   "zh": "SOI#2/#3 阶段审查协调",
   "level": "l3"
  },
  "CAP_36a9b597": {
   "en": "Certification Data Closure (SAS/SCI/MC/DC)",
   "zh": "审定数据闭环",
   "level": "l3"
  },
  "CAP_9db00ca9": {
   "en": "Type Certification & Continued Airworthiness",
   "zh": "型号认证与持续适航",
   "level": "l2"
  },
  "CAP_8c1d73e1": {
   "en": "Type Certificate Issuance",
   "zh": "型号合格证签发",
   "level": "l3"
  },
  "CAP_02362ab5": {
   "en": "Continued Airworthiness & Change Management",
   "zh": "持续适航与变更管理",
   "level": "l3"
  },
  "CAP_734fbaa0": {
   "en": "Premarket Submission Strategy",
   "zh": "上市前提交策略",
   "level": "l2"
  },
  "CAP_3c059942": {
   "en": "FDA Classification & Product Code Confirmation",
   "zh": "FDA 分类与产品代码确认",
   "level": "l3"
  },
  "CAP_db7cb1e6": {
   "en": "Predicate Selection & Substantial Equivalence Strategy",
   "zh": "谓词设备选择与实质等同策略",
   "level": "l3"
  },
  "CAP_34ddc457": {
   "en": "Submission Compilation & Review Interaction",
   "zh": "提交包编制与审查交互",
   "level": "l2"
  },
  "CAP_31b349ae": {
   "en": "510(k)/PMA Submission Compilation",
   "zh": "510(k)/PMA 提交包编制",
   "level": "l3"
  },
  "CAP_5bf99322": {
   "en": "FDA Review Interaction & AI Closure",
   "zh": "FDA 审查交互与补充信息闭环",
   "level": "l3"
  },
  "CAP_18c1e64d": {
   "en": "Clearance & Post-market Surveillance",
   "zh": "上市许可与上市后监督",
   "level": "l2"
  },
  "CAP_d10aa3f4": {
   "en": "Market Clearance/Approval Acquisition",
   "zh": "上市许可获取",
   "level": "l3"
  },
  "CAP_9efec720": {
   "en": "Post-market Surveillance & Reporting",
   "zh": "上市后监督与报告",
   "level": "l3"
  },
  "CAP_29dda9cb": {
   "en": "Conformity Assessment Module Selection",
   "zh": "合格评定模块选择",
   "level": "l2"
  },
  "CAP_7f0204f8": {
   "en": "Applicable Directive & Standard Identification",
   "zh": "适用指令与标准确认",
   "level": "l3"
  },
  "CAP_5a493b5e": {
   "en": "Module Selection Decision (Self-declaration vs Notified Body)",
   "zh": "合格评定模块选择",
   "level": "l3"
  },
  "CAP_143bc8c4": {
   "en": "Technical Documentation Compilation",
   "zh": "技术文档编制",
   "level": "l2"
  },
  "CAP_e2bbf6cf": {
   "en": "Notified Body Examination & CE Marking",
   "zh": "公告机构评审与 CE 标志",
   "level": "l2"
  },
  "CAP_a23d7c51": {
   "en": "Notified Body EU-Type Examination",
   "zh": "公告机构 EU 型式检验",
   "level": "l3"
  },
  "CAP_0fb065f3": {
   "en": "EU Declaration of Conformity & CE Marking",
   "zh": "欧盟符合性声明与 CE 标志加贴",
   "level": "l3"
  },
  "CAP_7de91f52": {
   "en": "Safety Critical Scenario Construction & Execution",
   "zh": "安全关键场景构造与执行",
   "level": "l2"
  },
  "CAP_1adf57d9": {
   "en": "Safety Scenario Taxonomy Definition",
   "zh": "安全场景分类法定义",
   "level": "l3"
  },
  "CAP_a676b576": {
   "en": "Procedural Safety Critical Scene Generation",
   "zh": "参数化安全关键场景生成",
   "level": "l3"
  },
  "CAP_e5548604": {
   "en": "Foundation Model Policy Rollout",
   "zh": "基础模型策略 Rollout",
   "level": "l3"
  },
  "CAP_446c0671": {
   "en": "Safety Violation Detection",
   "zh": "安全违例检测",
   "level": "l3"
  },
  "CAP_4b2815d7": {
   "en": "Process Level Compliance Metric Computation",
   "zh": "过程级合规度量计算",
   "level": "l3"
  },
  "CAP_163952f2": {
   "en": "Process Level Safety Compliance Measurement",
   "zh": "过程级安全合规度量",
   "level": "l2"
  },
  "CAP_678e5982": {
   "en": "Foundation Model Compliance Ranking",
   "zh": "基础模型合规排名",
   "level": "l3"
  },
  "CAP_bd098f30": {
   "en": "Operational Parameter Space Sampling",
   "zh": "运行参数空间采样",
   "level": "l2"
  },
  "CAP_5fa526f4": {
   "en": "Operational Parameter Space Definition",
   "zh": "运行参数空间定义",
   "level": "l3"
  },
  "CAP_69d40b0c": {
   "en": "Latin Hypercube Coarse Failure Landscape",
   "zh": "拉丁超立方粗失效景观",
   "level": "l3"
  },
  "CAP_fb384176": {
   "en": "Failure Boundary Risk Modeling",
   "zh": "失效边界风险建模",
   "level": "l2"
  },
  "CAP_a7056801": {
   "en": "Boundary Focused Resampling",
   "zh": "边界聚焦重采样",
   "level": "l3"
  },
  "CAP_adf7c633": {
   "en": "Logistic Regression Risk Model Fitting",
   "zh": "逻辑回归风险模型拟合",
   "level": "l3"
  },
  "CAP_10284cbf": {
   "en": "Closed Form Failure Boundary Extraction",
   "zh": "闭式失效边界提取",
   "level": "l3"
  },
  "CAP_6e8c1270": {
   "en": "Risk Certificate Generation",
   "zh": "风险证书生成",
   "level": "l3"
  },
  "CAP_39561512": {
   "en": "Safety Property Formalization & Policy Decomposition",
   "zh": "安全属性形式化与策略分解",
   "level": "l2"
  },
  "CAP_cc887147": {
   "en": "Controller Safety Policy Decomposition",
   "zh": "控制器安全策略分解",
   "level": "l3"
  },
  "CAP_9e52246e": {
   "en": "Reachability & Contact Classification",
   "zh": "可达性与接触分类",
   "level": "l3"
  },
  "CAP_058a4b32": {
   "en": "Safety Module Model Checking",
   "zh": "安全模块模型检测",
   "level": "l3"
  },
  "CAP_e6941e0e": {
   "en": "Safety Certification & Reporting",
   "zh": "安全认证与报告",
   "level": "l2"
  },
  "CAP_7dfea2da": {
   "en": "Safety Certificate Computation",
   "zh": "安全证书计算",
   "level": "l3"
  },
  "CAP_a9b53039": {
   "en": "Residual Risk & Certification Report",
   "zh": "残余风险与认证报告",
   "level": "l3"
  },
  "CAP_3227ef27": {
   "en": "Anomaly Injection & Detection Execution",
   "zh": "异常注入与检测执行",
   "level": "l2"
  },
  "CAP_3bc48fe6": {
   "en": "Detection & Triggering Assessment",
   "zh": "检测与触发评估",
   "level": "l2"
  },
  "CAP_cf4cebfc": {
   "en": "Matched Time Detector Performance Measurement",
   "zh": "匹配时序检测器性能度量",
   "level": "l3"
  },
  "CAP_1f1f4ff8": {
   "en": "Root Cause Diagnosis & Compliance Verdict",
   "zh": "根因诊断与合规裁决",
   "level": "l3"
  },
  "CAP_d777fc27": {
   "en": "Constrained VLA Safety Alignment",
   "zh": "约束 VLA 安全对齐",
   "level": "l2"
  },
  "CAP_56690255": {
   "en": "Safety Constraint CMDP Formalization",
   "zh": "安全约束 CMDP 形式化",
   "level": "l3"
  },
  "CAP_ce18fa60": {
   "en": "Safety Critical Environment Construction",
   "zh": "安全关键场景构建",
   "level": "l3"
  },
  "CAP_d4d4d86b": {
   "en": "Unsafe Behavior Elicitation Sampling",
   "zh": "不安全行为激发采样",
   "level": "l3"
  },
  "CAP_f6af89f3": {
   "en": "Decoupled Reward Cost Estimation",
   "zh": "解耦奖励-代价估计",
   "level": "l3"
  },
  "CAP_5ae32abf": {
   "en": "Lagrangian Constrained VLA Policy Optimization",
   "zh": "拉格朗日约束 VLA 策略优化",
   "level": "l3"
  },
  "CAP_bc434b4e": {
   "en": "Safety Assurance Evaluation",
   "zh": "安全确证评估",
   "level": "l3"
  },
  "CAP_05ec2760": {
   "en": "Constraint-Embedded Diffusion Sampling",
   "zh": "约束嵌入扩散采样",
   "level": "l2"
  },
  "CAP_0f376168": {
   "en": "Safety Constraint Feasible Set Definition",
   "zh": "安全约束可行集定义",
   "level": "l3"
  },
  "CAP_f9d96fff": {
   "en": "Barrier Gradient Augmented Reverse Sampling",
   "zh": "障碍梯度增广反向采样",
   "level": "l3"
  },
  "CAP_3dd4256e": {
   "en": "Constrained Langevin Sampling Optimization",
   "zh": "约束朗之万采样优化",
   "level": "l3"
  },
  "CAP_db726b72": {
   "en": "ALM Convex Feasible Set Dual Projection",
   "zh": "ALM 凸可行集双层投影",
   "level": "l3"
  },
  "CAP_2dd0cffc": {
   "en": "Discrete CBF Online Safety Enforcement",
   "zh": "离散 CBF 在线安全执行",
   "level": "l3"
  },
  "CAP_bc0ce89d": {
   "en": "Constraint Satisfaction Evaluation",
   "zh": "约束满足评估",
   "level": "l3"
  },
  "CAP_df641eba": {
   "en": "Post-Training Constraint Alignment for Diffusion Policy",
   "zh": "扩散策略后训练约束对齐",
   "level": "l2"
  },
  "CAP_a037e223": {
   "en": "Physical Constraint Auto Computation",
   "zh": "物理约束自动计算",
   "level": "l3"
  },
  "CAP_b0bf40fa": {
   "en": "Reverse KL Regularized Safe Projection",
   "zh": "反向 KL 正则化安全投影",
   "level": "l3"
  },
  "CAP_53883e42": {
   "en": "Implicit Safe Teacher Distillation",
   "zh": "隐式安全教师蒸馏",
   "level": "l3"
  },
  "CAP_68ceac6b": {
   "en": "Online Rollout Training Sampling Alignment",
   "zh": "在线 rollout 训练采样对齐",
   "level": "l3"
  },
  "CAP_c741e454": {
   "en": "Safety Task Dual Evaluation",
   "zh": "安全-任务双评测",
   "level": "l3"
  },
  "CAP_db3792e0": {
   "en": "Uncertainty Aware OOD Hazard Detection",
   "zh": "不确定性感知 OOD 危险检测",
   "level": "l3"
  },
  "CAP_6649e535": {
   "en": "Runtime Constraint Parameterization Adaptation",
   "zh": "运行时约束参数化适配",
   "level": "l3"
  },
  "CAP_32b16f16": {
   "en": "Latent Safety Filter Evaluation",
   "zh": "潜在安全过滤器评测",
   "level": "l3"
  },
  "CAP_74c9c587": {
   "en": "Trajectory-Level Reward-Cost Estimation",
   "zh": "轨迹级奖励-代价估计",
   "level": "l3"
  },
  "CAP_c58fbbbd": {
   "en": "Seed Configuration Acquisition",
   "zh": "种子构型获取",
   "level": "l2"
  },
  "CAP_db016561": {
   "en": "C-Space IRIS Region Inflation",
   "zh": "C-空间 IRIS 凸区域膨胀",
   "level": "l2"
  },
  "CAP_df2db0e1": {
   "en": "Convex Cover Assembly",
   "zh": "凸覆盖装配",
   "level": "l2"
  },
  "CAP_738c6721": {
   "en": "MICP Convex Relaxation Shortest Path",
   "zh": "MICP 凸松弛最短路径",
   "level": "l3"
  },
  "CAP_8ed40ef3": {
   "en": "Scene Collision Model Setup",
   "zh": "场景碰撞模型搭建",
   "level": "l3"
  },
  "CAP_fa00e2fd": {
   "en": "Collision-Free Seed Sampling",
   "zh": "无碰撞种子构型采样",
   "level": "l3"
  },
  "CAP_2a4ded52": {
   "en": "IRIS Semidefinite Polytope Inflation",
   "zh": "IRIS 半定规划凸区域膨胀",
   "level": "l3"
  },
  "CAP_efa2f758": {
   "en": "IRIS-NP Nonlinear Polytope Inflation",
   "zh": "IRIS-NP 非线性凸区域膨胀",
   "level": "l3"
  },
  "CAP_a390005d": {
   "en": "C-IRIS SOS Polytope Certification",
   "zh": "C-IRIS 平方和严格认证",
   "level": "l3"
  },
  "CAP_7fcb0220": {
   "en": "Clique-Cover Convex Cover Construction",
   "zh": "团覆盖凸覆盖构建",
   "level": "l3"
  },
  "CAP_e19a1743": {
   "en": "Cover Completeness Verification",
   "zh": "覆盖完整性验证",
   "level": "l3"
  },
  "CAP_c663ecc4": {
   "en": "Convex Set Vertex Modeling",
   "zh": "凸集顶点建模",
   "level": "l3"
  },
  "CAP_9bee84af": {
   "en": "Coupling Edge Construction",
   "zh": "耦合边构建",
   "level": "l3"
  },
  "CAP_6f7e9452": {
   "en": "Convex Restriction Trajectory Refinement",
   "zh": "凸限制轨迹细化",
   "level": "l3"
  },
  "CAP_51b78570": {
   "en": "GCS Solver Mode Selection",
   "zh": "GCS 求解器模式选择",
   "level": "l3"
  },
  "CAP_486af76a": {
   "en": "ISO 26262 Safety Requirement to Test Case Derivation",
   "zh": "ISO 26262 安全需求导出测试用例",
   "level": "l3"
  },
  "CAP_2564989d": {
   "en": "Gazebo ROS2 Control Physics Step Sync",
   "zh": "gz_ros2_control 与 Gazebo 物理步长同步",
   "level": "l3"
  },
  "CAP_3ac2a56f": {
   "en": "MAVLink HIL Sensor Message Injection",
   "zh": "MAVLink HIL传感器消息注入",
   "level": "l3"
  },
  "CAP_9e1bf612": {
   "en": "HIL Sensor Fusion Response Verification",
   "zh": "HIL传感器融合响应验证",
   "level": "l3"
  },
  "CAP_4af099a4": {
   "en": "UAV Flight Controller HITL Safety Test",
   "zh": "无人机飞控 HITL 安全测试",
   "level": "l3"
  },
  "CAP_a6d7b717": {
   "en": "PX4 Failsafe Logic HITL Verification",
   "zh": "PX4 失效保护逻辑 HITL 验证",
   "level": "l3"
  },
  "CAP_ea3791df": {
   "en": "SIL Integrity Target Allocation",
   "zh": "SIL 完整性目标分配",
   "level": "l2"
  },
  "CAP_8a8400db": {
   "en": "LOPA Scenario Modeling",
   "zh": "LOPA 场景建模",
   "level": "l2"
  },
  "CAP_46eae740": {
   "en": "RRF SIL Allocation",
   "zh": "RRF 的 SIL 分配",
   "level": "l2"
  },
  "CAP_bf07d2e4": {
   "en": "Integrity Target Derivation",
   "zh": "完整性目标导出",
   "level": "l3"
  },
  "CAP_3b9d60db": {
   "en": "Initiating Event Frequency",
   "zh": "初始事件频率",
   "level": "l3"
  },
  "CAP_ca4cec1f": {
   "en": "Consequence and Tolerable Frequency",
   "zh": "后果与可容忍频率",
   "level": "l3"
  },
  "CAP_cc14c331": {
   "en": "IPL Identification and PFD",
   "zh": "IPL 识别与 PFD 赋值",
   "level": "l3"
  },
  "CAP_dca5ae1a": {
   "en": "RRF Calculation",
   "zh": "RRF 计算",
   "level": "l3"
  },
  "CAP_7e19acd3": {
   "en": "SIL Allocation from RRF",
   "zh": "由 RRF 分配 SIL",
   "level": "l3"
  },
  "CAP_0e661682": {
   "en": "Cobot Safety Function PL Binding",
   "zh": "协作机器人安全功能 PL 绑定",
   "level": "l3"
  },
  "CAP_781eaa37": {
   "en": "Learned Action-Projection Safety Filter",
   "zh": "学习型动作投影安全过滤层",
   "level": "l2"
  },
  "CAP_3cbdbcd0": {
   "en": "SE-RL SP-RL Integration Strategy",
   "zh": "SE-RL/SP-RL 集成策略",
   "level": "l3"
  },
  "CAP_93b27fe1": {
   "en": "Random Curtain Probabilistic Detection",
   "zh": "随机光幕概率检测",
   "level": "l3"
  },
  "CAP_5615362d": {
   "en": "BevNet Envelope Forecasting & Tracking",
   "zh": "BevNet 包络预测跟踪",
   "level": "l3"
  },
  "CAP_1e6d75f3": {
   "en": "Safety Lifecycle Planning",
   "zh": "安全生命周期计划与裁剪",
   "level": "l3"
  },
  "CAP_7db7dd16": {
   "en": "Technical Safety Requirements Derivation",
   "zh": "技术安全要求导出",
   "level": "l3"
  },
  "CAP_6ff7e4ca": {
   "en": "Hardware Safety Development",
   "zh": "硬件安全开发",
   "level": "l3"
  },
  "CAP_8e855e71": {
   "en": "Software Safety Development",
   "zh": "软件安全开发",
   "level": "l3"
  },
  "CAP_c11be3ef": {
   "en": "Tool Confidence Assessment",
   "zh": "软件工具置信评估",
   "level": "l3"
  },
  "CAP_a4074f61": {
   "en": "Confirmation Measures Audit",
   "zh": "确认措施与功能安全审计",
   "level": "l3"
  },
  "CAP_7af29497": {
   "en": "AI Safety Lifecycle Orchestration",
   "zh": "AI安全生命周期编排",
   "level": "l3"
  },
  "CAP_ecd384db": {
   "en": "Machinery Safety Lifecycle Management",
   "zh": "机械安全生命周期管理",
   "level": "l1"
  },
  "CAP_6fc78be1": {
   "en": "Safety Acceptance and Configuration Lock",
   "zh": "安全验收与配置锁定",
   "level": "l2"
  },
  "CAP_a243292c": {
   "en": "Robot Safety Acceptance Suite Management",
   "zh": "机器人安全验收套件管理",
   "level": "l3"
  },
  "CAP_339e29a4": {
   "en": "Configuration Lock and CE Technical File",
   "zh": "配置锁定与CE技术文件",
   "level": "l3"
  },
  "CAP_8ce91a2d": {
   "en": "Safety Case Maintenance",
   "zh": "安全案例维护",
   "level": "l2"
  },
  "CAP_78dc511c": {
   "en": "ODD Operational Monitoring",
   "zh": "ODD 运行期监控",
   "level": "l3"
  },
  "CAP_7267c4cd": {
   "en": "SPI Definition and Tracking",
   "zh": "安全性能指标定义与跟踪",
   "level": "l3"
  },
  "CAP_f9fd826d": {
   "en": "Post-Incident Change Impact Analysis",
   "zh": "事故后变更影响分析",
   "level": "l3"
  },
  "CAP_f44429a3": {
   "en": "Safety Case Re-release Decision",
   "zh": "安全案例再发布决策",
   "level": "l3"
  },
  "CAP_addee819": {
   "en": "Safety Map Construction",
   "zh": "安全地图构建",
   "level": "l2"
  },
  "CAP_c203966a": {
   "en": "RGB-D Image Acquisition and Depth Preprocessing",
   "zh": "RGB-D图像采集与深度预处理",
   "level": "l3"
  },
  "CAP_74618627": {
   "en": "Label to Costmap Mapping",
   "zh": "地形标签到代价地图映射",
   "level": "l3"
  },
  "CAP_bca0933a": {
   "en": "Uncertainty-Aware Mapping",
   "zh": "不确定性感知建图",
   "level": "l3"
  },
  "CAP_23028266": {
   "en": "Bayesian Hilbert Map Online Update",
   "zh": "贝叶斯希尔伯特地图在线更新",
   "level": "l3"
  },
  "CAP_7d7ef287": {
   "en": "Gaussian Process Occupancy Regression",
   "zh": "高斯过程占用回归",
   "level": "l3"
  },
  "CAP_113e8fcd": {
   "en": "Safety Relevant Sparse Sampling Collection",
   "zh": "安全相关稀疏采样点采集",
   "level": "l3"
  },
  "CAP_1c87f535": {
   "en": "Safety Thresholding and Uncertainty Quantification",
   "zh": "安全阈值化与不确定性量化",
   "level": "l3"
  },
  "CAP_114ca14d": {
   "en": "Geometric Safety Margin Planning",
   "zh": "几何安全裕度规划",
   "level": "l2"
  },
  "CAP_3e592aaf": {
   "en": "Footprint Inscribed Circumscribed Radius Margin",
   "zh": "机器人足迹内切外接半径裕度",
   "level": "l3"
  },
  "CAP_4c6d4010": {
   "en": "Inflation Radius Uncertainty Folding",
   "zh": "膨胀半径不确定性折算",
   "level": "l3"
  },
  "CAP_be3ebbb4": {
   "en": "Inflation Cost Gradient Local Avoidance",
   "zh": "膨胀代价梯度局部避障",
   "level": "l3"
  },
  "CAP_2da661cf": {
   "en": "Continuous Safety Margin Planning",
   "zh": "连续安全裕度规划",
   "level": "l2"
  },
  "CAP_cc401dd9": {
   "en": "HJ Value Function Margin Query",
   "zh": "HJ值函数裕度查询",
   "level": "l3"
  },
  "CAP_c6a061a7": {
   "en": "Polytope Containment Feasibility Margin",
   "zh": "多面体包含可行裕度",
   "level": "l3"
  },
  "CAP_039007d0": {
   "en": "Polygon Signed Distance Constraint",
   "zh": "多边形符号距离约束",
   "level": "l3"
  },
  "CAP_3b371d77": {
   "en": "Contact Transition Safety Monitoring",
   "zh": "接触过渡安全监控",
   "level": "l3"
  },
  "CAP_16547e2b": {
   "en": "Force Safety Threshold Check",
   "zh": "力安全阈值检查",
   "level": "l3"
  },
  "CAP_5393481a": {
   "en": "Capacitive Proximity Skin Pre-Collision Monitoring",
   "zh": "电容接近觉皮肤预碰撞监控",
   "level": "l2"
  },
  "CAP_ec4dfd95": {
   "en": "Contact Collision Proximity Event Detection",
   "zh": "接触/碰撞/接近事件检测",
   "level": "l3"
  },
  "CAP_46b2ad22": {
   "en": "Tactile Array Threshold Collision Detection",
   "zh": "触觉阵列阈值判决碰撞检测",
   "level": "l3"
  },
  "CAP_43a0e072": {
   "en": "Pre-Collision Proximity Safety Response",
   "zh": "预碰撞接近安全响应",
   "level": "l3"
  },
  "CAP_c648afa4": {
   "en": "LTL GR1 Specification Writing",
   "zh": "LTL/GR(1) 规约编写",
   "level": "l3"
  },
  "CAP_644a33ae": {
   "en": "LTL Online Runtime Verification",
   "zh": "LTL 在线运行时验证",
   "level": "l3"
  },
  "CAP_c290ba8a": {
   "en": "Safety Automaton Monitor Synthesis",
   "zh": "安全自动机监控器合成",
   "level": "l3"
  },
  "CAP_b4c5676a": {
   "en": "Runtime Monitor Code Generation",
   "zh": "运行时监控器代码生成",
   "level": "l3"
  },
  "CAP_47eeecff": {
   "en": "Safety PLC Fieldbus Integration",
   "zh": "安全PLC与安全总线集成",
   "level": "l2"
  },
  "CAP_270c3a71": {
   "en": "Robot Integrated Safe Motion Control",
   "zh": "机器人集成安全运动控制",
   "level": "l2"
  },
  "CAP_77a7b758": {
   "en": "Safety CPU Redundant Architecture Deployment",
   "zh": "安全CPU冗余架构部署",
   "level": "l3"
  },
  "CAP_baf97cc8": {
   "en": "Safety Logic Program Development",
   "zh": "安全逻辑程序开发",
   "level": "l3"
  },
  "CAP_4f4a7534": {
   "en": "Automotive Safety Requirements Cascade",
   "zh": "汽车安全需求级联规格",
   "level": "l2"
  },
  "CAP_5381b097": {
   "en": "Hardware Software Interface Specification",
   "zh": "软硬件接口规格",
   "level": "l3"
  },
  "CAP_93810b91": {
   "en": "Hardware Safety Requirements Specification",
   "zh": "硬件安全需求规格",
   "level": "l3"
  },
  "CAP_3588e199": {
   "en": "Software Safety Requirements Specification",
   "zh": "软件安全需求规格",
   "level": "l3"
  },
  "CAP_15ac7984": {
   "en": "Safety Requirements Traceability Matrix Construction",
   "zh": "安全需求双向追溯矩阵构建",
   "level": "l3"
  },
  "CAP_784117f6": {
   "en": "Process Industry SIS Safety Requirements Specification",
   "zh": "过程工业 SIS 安全需求规格",
   "level": "l2"
  },
  "CAP_333f60cb": {
   "en": "Safety Instrumented Function Identification",
   "zh": "安全仪表功能识别",
   "level": "l3"
  },
  "CAP_51e15ea3": {
   "en": "SIS Safety Requirements Specification Authoring",
   "zh": "SIS安全需求规格编制",
   "level": "l3"
  },
  "CAP_3def53c6": {
   "en": "SIL Allocation and Verification",
   "zh": "SIL分配与PFD验证规格",
   "level": "l3"
  },
  "CAP_23fd353d": {
   "en": "SIS Proof Test and Response Time Specification",
   "zh": "SIS证明测试与响应时间规格",
   "level": "l3"
  },
  "CAP_82cfd586": {
   "en": "Machinery Safety Requirements Specification Authoring",
   "zh": "机械安全需求规格编制",
   "level": "l3"
  },
  "CAP_c436b7a1": {
   "en": "Required Performance Level Determination",
   "zh": "所需性能等级确认",
   "level": "l3"
  },
  "CAP_e20cb2cc": {
   "en": "Achieved Performance Level Evaluation",
   "zh": "达成性能等级设计参数目标",
   "level": "l3"
  },
  "CAP_023151d1": {
   "en": "Safety Related Software Requirements Specification",
   "zh": "安全相关软件需求规格",
   "level": "l3"
  },
  "CAP_c353d0a2": {
   "en": "Collaborative Robot Safety Requirements Specification",
   "zh": "协作机器人安全需求规格",
   "level": "l2"
  },
  "CAP_af124985": {
   "en": "Collaborative Mode Selection and Safety Strategy",
   "zh": "协作模式选择与安全策略",
   "level": "l3"
  },
  "CAP_48d07230": {
   "en": "Biomechanical Limit Specification",
   "zh": "生物力学极限规格",
   "level": "l3"
  },
  "CAP_e2ecdda5": {
   "en": "Speed and Separation Monitoring Specification",
   "zh": "速度与分离监控参数规格",
   "level": "l3"
  },
  "CAP_02734ab1": {
   "en": "Power and Force Limiting Specification",
   "zh": "功率与力限制参数规格",
   "level": "l3"
  },
  "CAP_7ab35254": {
   "en": "SOTIF Safety Requirements Specification",
   "zh": "SOTIF 预期功能安全需求规格",
   "level": "l2"
  },
  "CAP_4c60693a": {
   "en": "SOTIF Functional Improvement Specification",
   "zh": "SOTIF 功能改进规格",
   "level": "l3"
  },
  "CAP_c4cbde3d": {
   "en": "SOTIF Operational Measures Specification",
   "zh": "SOTIF 运行措施规格",
   "level": "l3"
  },
  "CAP_4e7c44d5": {
   "en": "Fault Injection & SOTIF Scenario Testing",
   "zh": "故障注入与SOTIF场景测试",
   "level": "l3"
  },
  "CAP_0a4fed9c": {
   "en": "Industrial Hard-Redundancy Safety Sensor Voting Fusion",
   "zh": "工业冗余投票安全融合",
   "level": "l2"
  },
  "CAP_10d42663": {
   "en": "2oo3 Safety Voting Arbitration",
   "zh": "2oo3安全投票裁决",
   "level": "l3"
  },
  "CAP_b33e6006": {
   "en": "Safety Event Audit Logging",
   "zh": "安全事件审计日志",
   "level": "l3"
  },
  "CAP_92c63e38": {
   "en": "Programmable Light Curtain Probabilistic Safety Envelope Fusion",
   "zh": "可编程光幕多传感器概率安全包络融合",
   "level": "l2"
  },
  "CAP_54d2be3f": {
   "en": "Programmable Light Curtain Device Driver",
   "zh": "可编程光幕设备驱动",
   "level": "l3"
  },
  "CAP_b3c4d5e6": {
   "en": "Multi Light Curtain Coordination",
   "zh": "多光幕协调",
   "level": "l3"
  },
  "CAP_c574e821": {
   "en": "Particle Filter Velocity Distribution Estimation",
   "zh": "粒子滤波速度分布估计",
   "level": "l3"
  },
  "CAP_34698908": {
   "en": "Dynamic Safety Curtain Design",
   "zh": "动态安全光幕设计",
   "level": "l3"
  },
  "CAP_d1abc9fa": {
   "en": "Multi-Curtain Point Cloud ICP Fusion",
   "zh": "多光幕点云ICP融合",
   "level": "l3"
  },
  "CAP_8990b21c": {
   "en": "Evidential Occupancy Mapping",
   "zh": "证据占用建图",
   "level": "l3"
  },
  "CAP_875d6f2b": {
   "en": "MCU Self-Monitoring Hardware Watchdog",
   "zh": "MCU 自监控硬件看门狗",
   "level": "l2"
  },
  "CAP_627da5ed": {
   "en": "Independent Watchdog Timer Initialization",
   "zh": "独立看门狗定时器初始化",
   "level": "l3"
  },
  "CAP_3f99eff9": {
   "en": "Window Watchdog Timer Configuration",
   "zh": "窗口看门狗定时器配置",
   "level": "l3"
  },
  "CAP_abf801af": {
   "en": "Multi-Task Watchdog Timer Subscription",
   "zh": "多任务看门狗定时器订阅",
   "level": "l3"
  },
  "CAP_949345b2": {
   "en": "Runtime Watchdog Feeding",
   "zh": "运行时喂狗",
   "level": "l3"
  },
  "CAP_ea128fa9": {
   "en": "Watchdog Timeout Configuration",
   "zh": "看门狗超时配置",
   "level": "l3"
  },
  "CAP_1dc69695": {
   "en": "External Watchdog IC Safe Stop",
   "zh": "外部看门狗 IC 安全停止",
   "level": "l2"
  },
  "CAP_3543e509": {
   "en": "External WDT IC Monitoring",
   "zh": "外部 WDT IC 监控",
   "level": "l3"
  },
  "CAP_754ae221": {
   "en": "Watchdog IC E-Stop Power Cutoff",
   "zh": "看门狗 IC 急停电源切断",
   "level": "l3"
  },
  "CAP_4df6c4e0": {
   "en": "Safety MCU Watchdog Initialization",
   "zh": "安全 MCU 看门狗初始化",
   "level": "l3"
  },
  "CAP_50ed630f": {
   "en": "Safety MCU Password-Protected Watchdog Feeding",
   "zh": "安全 MCU 密码保护喂狗",
   "level": "l3"
  },
  "CAP_2ff2fdfa": {
   "en": "Cross-Chip Heartbeat Monitoring",
   "zh": "跨芯片心跳监控",
   "level": "l3"
  },
  "CAP_6abb9920": {
   "en": "Systemd Hardware Watchdog Runtime Management",
   "zh": "systemd 硬件看门狗运行时管理",
   "level": "l3"
  },
  "CAP_db6822d9": {
   "en": "Safety Configuration Validation and Lockdown",
   "zh": "安全配置验证与锁定",
   "level": "l3"
  },
  "CAP_5e81c044": {
   "en": "Joint Collision Probability Chance Constraint",
   "zh": "联合碰撞概率机会约束",
   "level": "l3"
  },
  "CAP_e3ee055c": {
   "en": "Predictive MPC Workspace Shrinkage",
   "zh": "预测性 MPC 活动范围收缩",
   "level": "l3"
  },
  "CAP_3c665ff1": {
   "en": "Prediction Failure Reactive SSM Fallback",
   "zh": "预测失效回退反应式 SSM",
   "level": "l3"
  },
  "CAP_8dc4048d": {
   "en": "PLC Safety Envelope Control",
   "zh": "PLC 安全包络控制",
   "level": "l2"
  },
  "CAP_ee7d281d": {
   "en": "Safety Envelope Tracking Prediction",
   "zh": "安全包络跟踪预测",
   "level": "l3"
  },
  "CAP_353b68dc": {
   "en": "PLC Intrusion Detection",
   "zh": "PLC 入侵检测",
   "level": "l3"
  },
  "CAP_422e164a": {
   "en": "PLC Instrumentation Placement Optimization",
   "zh": "PLC 仪器布置优化",
   "level": "l3"
  },
  "CAP_a359f0da": {
   "en": "Safe Set Polytope Specification",
   "zh": "安全集多面体规约",
   "level": "l2"
  },
  "CAP_9eb8934b": {
   "en": "Safe Set Polytope Abstraction",
   "zh": "安全集多面体抽象",
   "level": "l3"
  },
  "CAP_b4c89560": {
   "en": "PWA Linear Region Partition",
   "zh": "PWA线性区域分割",
   "level": "l3"
  },
  "CAP_beb62b53": {
   "en": "Set Invariance Verification",
   "zh": "集合不变性验证",
   "level": "l3"
  },
  "CAP_bc71732e": {
   "en": "Counterexample-Guided Retraining Feedback",
   "zh": "反例引导重训反馈",
   "level": "l3"
  },
  "CAP_9c136a14": {
   "en": "Certificate Condition Global Validity Query",
   "zh": "证书条件全域满足性查询",
   "level": "l3"
  },
  "CAP_727e0142": {
   "en": "Verified Compilation",
   "zh": "已验证编译",
   "level": "l3"
  },
  "CAP_4876e656": {
   "en": "Static Runtime Error Sound Proof",
   "zh": "静态运行时错误证明",
   "level": "l3"
  },
  "CAP_a35ad512": {
   "en": "Closed-Loop Dynamics Modeling",
   "zh": "闭环动力学建模",
   "level": "l3"
  },
  "CAP_4e96a144": {
   "en": "Tracking Error Bound Precomputation",
   "zh": "跟踪误差界预计算",
   "level": "l3"
  },
  "CAP_e3cb3217": {
   "en": "Reachability Based Safe Path Velocity",
   "zh": "可达性安全路径速度计算",
   "level": "l3"
  },
  "CAP_484d1720": {
   "en": "Safety Index Safe Set Computation",
   "zh": "安全指标安全集计算",
   "level": "l2"
  },
  "CAP_b3915639": {
   "en": "Safety Index Synthesis",
   "zh": "安全指标合成",
   "level": "l3"
  },
  "CAP_45bbde69": {
   "en": "Forward Invariant Safe Control Projection",
   "zh": "前向不变安全控制投影",
   "level": "l3"
  },
  "CAP_98055bde": {
   "en": "RSS Situation and Formula Setup",
   "zh": "RSS 态势与安全距离公式建立",
   "level": "l2"
  },
  "CAP_049738a8": {
   "en": "RSS Danger Situation Monitoring",
   "zh": "RSS 危险态势监控",
   "level": "l2"
  },
  "CAP_51cfa381": {
   "en": "RSS Proper Response and Actuation",
   "zh": "RSS 合理响应与执行",
   "level": "l2"
  },
  "CAP_2da0a13a": {
   "en": "RSS Situation Extraction",
   "zh": "RSS 态势提取",
   "level": "l3"
  },
  "CAP_b94c3515": {
   "en": "Real-time Obstacle Distance Estimation",
   "zh": "实时障碍物距离估计",
   "level": "l3"
  },
  "CAP_a9f50fd9": {
   "en": "RSS Proper Response Computation",
   "zh": "RSS 合理响应计算",
   "level": "l3"
  },
  "CAP_4dac6be6": {
   "en": "RSS Acceleration Limit Enforcement",
   "zh": "RSS 加速度约束输出",
   "level": "l3"
  },
  "CAP_47db4fdf": {
   "en": "CBF Quadratic Program Safety Filter",
   "zh": "CBF-QP 安全滤波",
   "level": "l2"
  },
  "CAP_d1ca437c": {
   "en": "CBF Barrier and Safe Set Construction",
   "zh": "控制屏障函数与安全集构造",
   "level": "l2"
  },
  "CAP_5a46b484": {
   "en": "Black-box Safe Set Synthesis and Expansion",
   "zh": "黑箱安全集合成与扩展",
   "level": "l2"
  },
  "CAP_2ddfbaf5": {
   "en": "CBF Quadratic Program Solver",
   "zh": "CBF-QP 求解",
   "level": "l3"
  },
  "CAP_f521b7c7": {
   "en": "CBF Safe Control Output",
   "zh": "CBF 安全控制下发",
   "level": "l3"
  },
  "CAP_a9c88c25": {
   "en": "Implicit Safe Set Synthesis",
   "zh": "隐式安全集合成",
   "level": "l3"
  },
  "CAP_37ec9377": {
   "en": "Safe RL Backup Policy",
   "zh": "安全 RL 备份策略",
   "level": "l3"
  },
  "CAP_adc5bd34": {
   "en": "Tracking Error Bound Computation",
   "zh": "跟踪误差界计算",
   "level": "l2"
  },
  "CAP_8d996f12": {
   "en": "Hybrid Safe Tracking Control",
   "zh": "混合安全跟踪控制",
   "level": "l2"
  },
  "CAP_9f2868c1": {
   "en": "Tracker Planner Model Pair Definition",
   "zh": "跟踪/规划模型对定义",
   "level": "l3"
  },
  "CAP_eb432c3a": {
   "en": "HJ Reachability TEB Solver",
   "zh": "HJ 可达性 TEB 求解",
   "level": "l3"
  },
  "CAP_51da44c0": {
   "en": "Obstacle TEB Inflation",
   "zh": "障碍物 TEB 膨胀",
   "level": "l3"
  },
  "CAP_72e1cbd8": {
   "en": "Reachability Safe Velocity Computation",
   "zh": "可达性安全速度计算",
   "level": "l3"
  },
  "CAP_559cdc1a": {
   "en": "Hybrid Optimal Tracking Control",
   "zh": "混合最优跟踪控制",
   "level": "l3"
  },
  "CAP_645d3064": {
   "en": "Safe Exploration Policy",
   "zh": "安全探索策略",
   "level": "l2"
  },
  "CAP_a7e07360": {
   "en": "Verified Base Controller Stabilization Anchor",
   "zh": "已验证基线控制器稳定锚",
   "level": "l3"
  },
  "CAP_28b6053d": {
   "en": "Uncertainty Gated Residual Exploration",
   "zh": "不确定性门控残差探索",
   "level": "l3"
  },
  "CAP_be2c3a10": {
   "en": "Advantage Weighted Regression Policy Iteration Pipeline",
   "zh": "优势加权回归策略迭代管线",
   "level": "l2"
  },
  "CAP_4200ba09": {
   "en": "AWAC Advantage Weighted Actor Critic Update",
   "zh": "AWAC 优势加权 Actor-Critic 更新",
   "level": "l3"
  },
  "CAP_5731b4bd": {
   "en": "Implicit Safe Set Sampling Expansion",
   "zh": "隐式安全集采样扩展",
   "level": "l3"
  },
  "CAP_1b27c20e": {
   "en": "Safe Set Seed Initialization",
   "zh": "安全集种子初始化",
   "level": "l3"
  },
  "CAP_ce952e56": {
   "en": "Backup CBF Safe Set Auto-Discovery",
   "zh": "Backup CBF 安全集自动发现",
   "level": "l3"
  },
  "CAP_818864ec": {
   "en": "Posterior Variance Region Avoidance",
   "zh": "后验方差区域规避",
   "level": "l3"
  },
  "CAP_75d474cf": {
   "en": "Chance-Constrained Policy Gradient Optimization",
   "zh": "机会约束策略梯度优化",
   "level": "l3"
  },
  "CAP_627845c6": {
   "en": "HJ Adaptive Shielding Safe Exploration",
   "zh": "HJ 自适应屏蔽安全探索",
   "level": "l2"
  },
  "CAP_6c2c9261": {
   "en": "Adaptive Reachability Online Update",
   "zh": "自适应可达性在线更新",
   "level": "l3"
  },
  "CAP_40512e58": {
   "en": "High-dimensional HJ Neural Approximation",
   "zh": "高维 HJ 神经网络近似",
   "level": "l3"
  },
  "CAP_87eb667f": {
   "en": "Dual Critic Value Estimation",
   "zh": "双Critic值估计",
   "level": "l3"
  },
  "CAP_88f92c9e": {
   "en": "Dual Variable Ascent Update",
   "zh": "对偶变量上升更新",
   "level": "l3"
  },
  "CAP_ccdfc9c7": {
   "en": "BNN Policy Variance Gated Safe Exploration",
   "zh": "BNN策略方差门控安全探索",
   "level": "l3"
  },
  "CAP_47571fa6": {
   "en": "Shield Automaton Compilation",
   "zh": "屏蔽自动机编译",
   "level": "l3"
  },
  "CAP_cb81a3d7": {
   "en": "Convergence-Preserving Shielded Training",
   "zh": "收敛保持屏蔽训练",
   "level": "l3"
  },
  "CAP_8785480f": {
   "en": "Probabilistic Shield Training Integration",
   "zh": "概率屏蔽训练集成",
   "level": "l3"
  },
  "CAP_a8725582": {
   "en": "On-Policy Bias Correction for Mixed Rollout",
   "zh": "混合Rollout的On-Policy偏置修正",
   "level": "l3"
  },
  "CAP_8ba9aff6": {
   "en": "CMDP Environment Wrapper",
   "zh": "CMDP环境封装",
   "level": "l3"
  },
  "CAP_12b2cfc1": {
   "en": "PFL Joint Velocity Torque Envelope Configuration",
   "zh": "PFL 关节速度力矩包络配置",
   "level": "l2"
  },
  "CAP_3430b59e": {
   "en": "Collision Force Model TCP Velocity Inversion",
   "zh": "碰撞力模型反算 TCP 最大速度",
   "level": "l3"
  },
  "CAP_f1476b9f": {
   "en": "Jacobian Joint Velocity Envelope Mapping",
   "zh": "雅可比关节速度包络映射",
   "level": "l3"
  },
  "CAP_b0c75f8a": {
   "en": "Inverse Dynamics Joint Torque Envelope",
   "zh": "逆动力学关节力矩包络计算",
   "level": "l3"
  },
  "CAP_51bc22e7": {
   "en": "Collision Force Path Velocity Constraint",
   "zh": "碰撞力路径速度约束构造",
   "level": "l3"
  },
  "CAP_e838482e": {
   "en": "Collision Kinetic Energy Barrier Construction",
   "zh": "碰撞动能屏障函数构造",
   "level": "l3"
  },
  "CAP_39114eaf": {
   "en": "Operational Space Inertia Decoupling",
   "zh": "操作空间惯量解耦",
   "level": "l3"
  },
  "CAP_515cd285": {
   "en": "Torque-Bound CBF-QP Safety Filtering",
   "zh": "力矩约束 CBF-QP 安全滤波",
   "level": "l3"
  },
  "CAP_73cd355f": {
   "en": "Safe Policy Export",
   "zh": "安全策略导出",
   "level": "l3"
  },
  "CAP_864fdf87": {
   "en": "Offline Safe RL Pipeline",
   "zh": "离线安全强化学习流水线",
   "level": "l2"
  },
  "CAP_7decd3fe": {
   "en": "Offline Safe RL Dataset Loading",
   "zh": "离线安全RL数据集加载",
   "level": "l3"
  },
  "CAP_82e98746": {
   "en": "Offline Dataset Post-Processing",
   "zh": "离线数据集后处理",
   "level": "l3"
  },
  "CAP_e5b853f2": {
   "en": "Offline Safe RL Algorithm Selection",
   "zh": "离线安全RL算法选择",
   "level": "l3"
  },
  "CAP_a86f2a37": {
   "en": "Constrained Offline Policy Learning",
   "zh": "约束离线策略学习",
   "level": "l3"
  },
  "CAP_54011393": {
   "en": "Safety Compliance Analysis",
   "zh": "安全合规分析",
   "level": "l3"
  },
  "CAP_e3b5af6c": {
   "en": "Model-Based Safe RL Pipeline",
   "zh": "基于世界模型的安全强化学习流水线",
   "level": "l2"
  },
  "CAP_71af0a97": {
   "en": "Safe World Model Construction",
   "zh": "安全世界模型构建",
   "level": "l3"
  },
  "CAP_a320c88c": {
   "en": "Online Safe Reward Planning",
   "zh": "在线安全奖励规划",
   "level": "l3"
  },
  "CAP_944cd31b": {
   "en": "Background Safe Actor Training",
   "zh": "背景安全actor训练",
   "level": "l3"
  },
  "CAP_aa0ab870": {
   "en": "Near-Zero Cost Evaluation",
   "zh": "近零成本评测",
   "level": "l3"
  },
  "CAP_f546a128": {
   "en": "LLM Domain Randomization Parameter Generation",
   "zh": "LLM 域随机化参数生成",
   "level": "l3"
  },
  "CAP_43e15f14": {
   "en": "Domain-Randomized Robust Policy Training",
   "zh": "域随机化鲁棒策略训练",
   "level": "l2"
  },
  "CAP_3bc9c17d": {
   "en": "Domain Randomization Policy Pretraining",
   "zh": "域随机化策略预训练",
   "level": "l3"
  },
  "CAP_43edcd90": {
   "en": "Zero-Shot Transfer Safety Evaluation",
   "zh": "零样本迁移安全评估",
   "level": "l3"
  },
  "CAP_f230f76d": {
   "en": "Residual Dynamics Safety Filter Calibration",
   "zh": "残差动力学安全滤波校准",
   "level": "l2"
  },
  "CAP_913b006b": {
   "en": "Generative Stochastic Residual Dynamics Training",
   "zh": "生成式随机残差动力学训练",
   "level": "l3"
  },
  "CAP_d38a578b": {
   "en": "Differential Barrier Function Penalty Filtering",
   "zh": "微分屏障函数惩罚滤波",
   "level": "l3"
  },
  "CAP_b8687740": {
   "en": "Probabilistic Safety Guarantee Verification",
   "zh": "概率安全保证验证",
   "level": "l3"
  },
  "CAP_972335b4": {
   "en": "Residual Dynamics Regression",
   "zh": "残差动力学回归",
   "level": "l3"
  },
  "CAP_a2a78f9b": {
   "en": "Residual-Corrected Simulation Rollout",
   "zh": "残差校正仿真前向",
   "level": "l3"
  },
  "CAP_f298bbad": {
   "en": "Interactive Video World Model Safe RL",
   "zh": "交互式视频世界模型安全强化学习",
   "level": "l2"
  },
  "CAP_287aef85": {
   "en": "Imagination-Based Online Safe RL",
   "zh": "想象内在线安全强化学习",
   "level": "l3"
  },
  "CAP_0bdf1dd5": {
   "en": "Per-Step Safety Cost Prediction",
   "zh": "逐步安全代价预测",
   "level": "l3"
  },
  "CAP_dc45020a": {
   "en": "Relative Dynamics Differential Game Modeling",
   "zh": "相对状态微分博弈建模",
   "level": "l3"
  },
  "CAP_d10bf2e6": {
   "en": "Reachability-based Trajectory Velocity Upper Bound",
   "zh": "可达性轨迹速度上界",
   "level": "l3"
  },
  "CAP_a75029ed": {
   "en": "Implicit Safe Set Safe RL Navigation",
   "zh": "隐式安全集强化学习导航",
   "level": "l3"
  },
  "CAP_26a23c24": {
   "en": "Relative Degree Rectification",
   "zh": "相对阶校正",
   "level": "l3"
  },
  "CAP_10d7acee": {
   "en": "Forward Invariance Condition Check",
   "zh": "前向不变条件检查",
   "level": "l3"
  },
  "CAP_2abd8039": {
   "en": "PWA Network Region Segmentation",
   "zh": "PWA 网络线性区域划分",
   "level": "l3"
  },
  "CAP_8e119460": {
   "en": "Boundary Vertex Invariance Verification",
   "zh": "边界顶点不变性验证",
   "level": "l3"
  },
  "CAP_8ac5892a": {
   "en": "Least-Restrictive Safety Controller Switching",
   "zh": "最小约束安全控制器在线切换",
   "level": "l3"
  },
  "CAP_eee389eb": {
   "en": "Online Map to Control Barrier Function Construction",
   "zh": "在线地图到控制障碍函数构造",
   "level": "l3"
  },
  "CAP_e18666ba": {
   "en": "Torque-Bound CBF-QP Synthesis",
   "zh": "力矩约束 CBF-QP 综合",
   "level": "l3"
  },
  "CAP_bed3706e": {
   "en": "Safe Control Law DRL Online Safeguard",
   "zh": "安全控制律 DRL 在线保障",
   "level": "l3"
  },
  "CAP_332eff38": {
   "en": "Safety Constraint Filter",
   "zh": "安全约束过滤器",
   "level": "l3"
  },
  "CAP_abea08e9": {
   "en": "Drive-Integrated Hardware STO",
   "zh": "驱动器集成硬件STO",
   "level": "l2"
  },
  "CAP_1f9fae5e": {
   "en": "Galvanically Isolated STO Input Reception",
   "zh": "光耦隔离STO输入接收",
   "level": "l3"
  },
  "CAP_fcdd4ff5": {
   "en": "1oo2 Channel De-energize Arbitration",
   "zh": "1oo2双通道去能仲裁",
   "level": "l3"
  },
  "CAP_b699ed88": {
   "en": "IGBT Gate Driver Power Cutoff",
   "zh": "IGBT门极驱动器电源切断",
   "level": "l3"
  },
  "CAP_4840ad29": {
   "en": "STO Status Feedback Monitoring",
   "zh": "STO状态反馈监控",
   "level": "l3"
  },
  "CAP_f6eae173": {
   "en": "STO Functional Proof Test",
   "zh": "STO功能验证测试",
   "level": "l3"
  },
  "CAP_8244acc7": {
   "en": "Safety Container Formation with CRC and Sequence",
   "zh": "安全容器封装与CRC序列号",
   "level": "l3"
  },
  "CAP_1528e34f": {
   "en": "Black Channel Transmission via Standard Fieldbus",
   "zh": "标准现场总线黑通道传输",
   "level": "l3"
  },
  "CAP_fb37d508": {
   "en": "Drive-Side Safety Module Validation",
   "zh": "驱动侧安全模块验证",
   "level": "l3"
  },
  "CAP_905839b7": {
   "en": "Safety-Bus STO Activation Bridge",
   "zh": "安全总线STO激活桥接",
   "level": "l3"
  },
  "CAP_52cf8ca9": {
   "en": "Connection Monitoring and Fallback",
   "zh": "连接监控与超时回退",
   "level": "l3"
  },
  "CAP_1335d1ed87": {
   "en": "Industrial Safety Zone Tiered Speed Limiting",
   "zh": "工业安全区域分级速度限制",
   "level": "l2"
  },
  "CAP_aca71517": {
   "en": "CBF-based Real-time Velocity Attenuation",
   "zh": "基于控制障碍函数的实时速度衰减",
   "level": "l2"
  },
  "CAP_7f48c45a": {
   "en": "Maximum Velocity Curve Computation",
   "zh": "最大速度曲线计算",
   "level": "l3"
  },
  "CAP_fbee9282": {
   "en": "Speed Filter Velocity Limiting",
   "zh": "速度滤波器限幅",
   "level": "l3"
  },
  "CAP_d5813a2d": {
   "en": "Protection Boundary Geometry Output",
   "zh": "防护边界几何输出",
   "level": "l3"
  },
  "CAP_5d67e3cf": {
   "en": "Sum Tree Prioritized Sampling",
   "zh": "SumTree优先采样",
   "level": "l3"
  },
  "CAP_fcbbf252": {
   "en": "IS Weight Corrected Q Update",
   "zh": "IS权重修正Q更新",
   "level": "l3"
  },
  "CAP_39440f32": {
   "en": "AWR Offline Dataset Loading",
   "zh": "AWR离线数据加载",
   "level": "l3"
  },
  "CAP_6d8f1a45": {
   "en": "PRM Topological Navigation",
   "zh": "采样式PRM拓扑路径导航",
   "level": "l2"
  },
  "CAP_d225b8de": {
   "en": "BIT* Family Batch Informed Tree Planning",
   "zh": "BIT*族分批启发式树规划",
   "level": "l2"
  },
  "CAP_b43b53ce": {
   "en": "OMPL Sampling Planning Seed Generation",
   "zh": "OMPL采样规划种子生成",
   "level": "l3"
  },
  "CAP_4e7a3d16": {
   "en": "PRM Local Planner Edge Connection",
   "zh": "PRM局部规划器边连接",
   "level": "l3"
  },
  "CAP_a2ef8b7e": {
   "en": "LazyPRM Delayed Collision Detection",
   "zh": "LazyPRM 延迟碰撞检测建图",
   "level": "l3"
  },
  "CAP_e80417ce": {
   "en": "PRM* Asymptotically Optimal Neighborhood Connection",
   "zh": "PRM* 渐近最优动态邻域连接",
   "level": "l3"
  },
  "CAP_d10693ec": {
   "en": "BIT* Informed Ellipsoidal Batch Sampling",
   "zh": "BIT* informed椭球分批采样",
   "level": "l3"
  },
  "CAP_98b76eb3": {
   "en": "BIT* Edge Queue Construction",
   "zh": "BIT*隐式随机几何图边队列构建",
   "level": "l3"
  },
  "CAP_bd411420": {
   "en": "BIT* Ordered Edge Rewiring",
   "zh": "BIT*启发式有序边处理与重连",
   "level": "l3"
  },
  "CAP_14c399ed": {
   "en": "ABIT* Inflation Heuristic Acceleration",
   "zh": "ABIT*膨胀启发式初始解加速",
   "level": "l3"
  },
  "CAP_455198ce": {
   "en": "AIT* Reverse Search Heuristic Estimation",
   "zh": "AIT*反向搜索启发式估计",
   "level": "l3"
  },
  "CAP_a4723e7d": {
   "en": "Cross-View Dataset Construction and Evaluation",
   "zh": "跨视角数据集构建与评测",
   "level": "l3"
  },
  "CAP_53e42f95": {
   "en": "Cross-View Geometric Correspondence Localization",
   "zh": "跨视角几何布局对应度量定位",
   "level": "l2"
  },
  "CAP_1167f813": {
   "en": "Cross-View Geometric Layout Disentanglement",
   "zh": "跨视角几何布局解耦",
   "level": "l3"
  },
  "CAP_269be06a": {
   "en": "Domain-Bridging Geometric Localization",
   "zh": "地空域桥接几何定位",
   "level": "l2"
  },
  "CAP_340fffb9": {
   "en": "Cross-View Keypoint Geometric Matching",
   "zh": "跨视角关键点几何匹配",
   "level": "l3"
  },
  "CAP_d00e5439": {
   "en": "RANSAC Pose Solving for Cross-View",
   "zh": "跨视角 RANSAC 位姿求解",
   "level": "l3"
  },
  "CAP_4c69973b": {
   "en": "Local Viewpoint Refinement",
   "zh": "局部视点精修",
   "level": "l3"
  },
  "CAP_0719ef8d": {
   "en": "Traversability-aware 3D Path Planning",
   "zh": "可通行性感知 3D 路径规划",
   "level": "l3"
  },
  "CAP_852ece75": {
   "en": "Heterogeneous Team Independent Exploration",
   "zh": "异构团队独立探索部署",
   "level": "l3"
  },
  "CAP_2a543992": {
   "en": "Opportunistic Map Synchronization",
   "zh": "机会式地图同步",
   "level": "l3"
  },
  "CAP_75c8d96d": {
   "en": "Dense-Local Sparse-Global Dual Representation",
   "zh": "密集局部稀疏全局双层表征",
   "level": "l3"
  },
  "CAP_a6a88e87": {
   "en": "Onboard Terrain-aware Traversal",
   "zh": "机载地形感知行进",
   "level": "l3"
  },
  "CAP_1b3d97d0": {
   "en": "Large-Scale Gridworld Multi-Agent Environment Setup",
   "zh": "大规模 gridworld 多智能体环境配置",
   "level": "l2"
  },
  "CAP_ab12c168": {
   "en": "Local Observation and Neighbor Set Construction",
   "zh": "智能体局部观测与邻居集合构建",
   "level": "l3"
  },
  "CAP_e419c8e5": {
   "en": "Discrete Action Space and Battle Reward Definition",
   "zh": "离散动作空间与战斗奖励定义",
   "level": "l3"
  },
  "CAP_c0dde407": {
   "en": "Neighbor Mean Action Computation",
   "zh": "邻居平均动作计算",
   "level": "l3"
  },
  "CAP_faa66453": {
   "en": "Mean Field Q-Network Parameterization",
   "zh": "平均场 Q 网络参数化",
   "level": "l3"
  },
  "CAP_48d36557": {
   "en": "Mean Field Reinforcement Learning Training",
   "zh": "平均场强化学习训练",
   "level": "l2"
  },
  "CAP_c84a45fb": {
   "en": "Mean Field Q-Learning Training",
   "zh": "平均场 Q 学习训练",
   "level": "l3"
  },
  "CAP_85e89911": {
   "en": "Mean Field Policy Convergence Verification",
   "zh": "平均场策略收敛性验证",
   "level": "l3"
  },
  "CAP_7753c6bf": {
   "en": "Multi-Agent Environment Graph Modeling",
   "zh": "多智能体环境图建模",
   "level": "l3"
  },
  "CAP_0f38af02": {
   "en": "Dynamic Adjacency Matrix Construction",
   "zh": "动态邻接矩阵构建",
   "level": "l3"
  },
  "CAP_fb7499e5": {
   "en": "Receptive Field Expansion and Feature Reuse",
   "zh": "感受野扩展与特征复用",
   "level": "l3"
  },
  "CAP_1bf12bf2": {
   "en": "Cooperative Policy Scalability Verification",
   "zh": "协作策略可扩展性验证",
   "level": "l3"
  },
  "CAP_88b210d4": {
   "en": "Multi-Agent Sequential Decision Paradigm",
   "zh": "多智能体序列决策范式",
   "level": "l2"
  },
  "CAP_00c9babe": {
   "en": "Cooperative MARL Markov Game Modeling",
   "zh": "合作 MARL Markov 博弈建模",
   "level": "l3"
  },
  "CAP_9ef7de3f": {
   "en": "Multi-Agent Advantage Decomposition Application",
   "zh": "多智能体优势分解应用",
   "level": "l3"
  },
  "CAP_e7e99a39": {
   "en": "Agent Sequential Decision Permutation",
   "zh": "智能体顺序决策排列",
   "level": "l3"
  },
  "CAP_9eb479ff": {
   "en": "MAT Encoder-Decoder Architecture",
   "zh": "MAT encoder-decoder 架构",
   "level": "l2"
  },
  "CAP_a9646498": {
   "en": "Masked Self-Attention Action Decoder",
   "zh": "masked 自注意力动作解码器",
   "level": "l3"
  },
  "CAP_64b243bf": {
   "en": "Encoder-Decoder Cross Attention",
   "zh": "encoder-decoder 交叉注意力",
   "level": "l3"
  },
  "CAP_3574e0bc": {
   "en": "Encoder Value Function Bellman Loss",
   "zh": "encoder 价值函数 Bellman 损失",
   "level": "l3"
  },
  "CAP_4821ac43": {
   "en": "Decoder PPO Clip Objective Parallel Optimization",
   "zh": "decoder PPO clip 目标并行优化",
   "level": "l3"
  },
  "CAP_46d23258": {
   "en": "Permutation Randomization and Nash Convergence",
   "zh": "顺序排列随机化与 Nash 收敛",
   "level": "l3"
  },
  "CAP_0f29e079": {
   "en": "Few-Shot Agent Number Generalization Verification",
   "zh": "少样本 agent 数泛化验证",
   "level": "l3"
  },
  "CAP_8dc34841": {
   "en": "Multi-Column Density Map Fusion",
   "zh": "多列密度图融合",
   "level": "l3"
  },
  "CAP_eb78efac": {
   "en": "Dilated Convolution Density Backend",
   "zh": "空洞卷积密度后端",
   "level": "l3"
  },
  "CAP_e4edeb7a": {
   "en": "Multi-Layer Cross-Depth Feature Extraction",
   "zh": "多层跨深度特征提取",
   "level": "l3"
  },
  "CAP_f86db434": {
   "en": "Cross-Layer Feature Adaptation Fusion",
   "zh": "跨层特征自适应融合",
   "level": "l3"
  },
  "CAP_87610130": {
   "en": "Relative Count Loss",
   "zh": "相对计数损失",
   "level": "l3"
  },
  "CAP_3c724b12": {
   "en": "Multi-Receptive-Field Context Pooling",
   "zh": "多感受野上下文池化",
   "level": "l3"
  },
  "CAP_869456e7": {
   "en": "Context-Aware Scale Weight Learning",
   "zh": "上下文感知尺度权重学习",
   "level": "l3"
  },
  "CAP_86500a0f": {
   "en": "Bayesian 2D Occupancy Grid Mapping",
   "zh": "贝叶斯二维占用栅格建图",
   "level": "l2"
  },
  "CAP_6b8e02b5": {
   "en": "Submap Pose Graph SLAM Topological Mapping",
   "zh": "子图位姿图SLAM拓扑建图",
   "level": "l3"
  },
  "CAP_3c1f0a15": {
   "en": "SVD and Gauss-Newton Rigid Transform Solving",
   "zh": "SVD与Gauss-Newton刚体变换求解",
   "level": "l3"
  },
  "CAP_37d8de93": {
   "en": "2D Scan Point Downsampling and Angular Discretization",
   "zh": "2D扫描点降采样与角度离散化",
   "level": "l3"
  },
  "CAP_737c89c7": {
   "en": "Multi-Resolution Precomputation Grid Pyramid Construction",
   "zh": "多分辨率预计算栅格金字塔构建",
   "level": "l3"
  },
  "CAP_3c1f0a44": {
   "en": "Superpoint and Soft Correspondence Matching",
   "zh": "超点与软对应匹配",
   "level": "l3"
  },
  "CAP_0fdf9f1b": {
   "en": "Class-Agnostic Multi-View Object Association",
   "zh": "类无关多视角物体关联",
   "level": "l3"
  },
  "CAP_851562b8": {
   "en": "3D Object Node Creation",
   "zh": "三维物体节点创建",
   "level": "l3"
  },
  "CAP_3aaf4e7f": {
   "en": "LLM-Based 3D Node Caption Generation",
   "zh": "LLM驱动3D节点caption生成",
   "level": "l3"
  },
  "CAP_7cb1f3aa": {
   "en": "3D Scene Graph Constraint Extraction",
   "zh": "3D 场景图约束提取",
   "level": "l2"
  },
  "CAP_1e786b3d": {
   "en": "3D Scene Graph Hierarchical Traversal",
   "zh": "3D场景图层级遍历",
   "level": "l3"
  },
  "CAP_f1aebbd7": {
   "en": "Scene Graph Backend Optimization",
   "zh": "场景图后端优化",
   "level": "l3"
  },
  "CAP_80a7bb0a": {
   "en": "Normal Video Frame Curation",
   "zh": "正常视频帧整备",
   "level": "l3"
  },
  "CAP_a96fba53": {
   "en": "Spatial-Temporal Autoencoder Reconstruction Training",
   "zh": "时空自编码器重构训练",
   "level": "l3"
  },
  "CAP_780c6684": {
   "en": "Future-Frame Prediction Model Training",
   "zh": "未来帧预测模型训练",
   "level": "l3"
  },
  "CAP_998dc1b2": {
   "en": "Active Window Sliding and Background Mesh Construction",
   "zh": "活动窗口滑动与背景网格构建",
   "level": "l3"
  },
  "CAP_f772725e": {
   "en": "Scene Descriptor Classification",
   "zh": "场景描述子分类",
   "level": "l3"
  },
  "CAP_aea3c36f": {
   "en": "Deep Supervised Scene Classification",
   "zh": "深度监督场景分类",
   "level": "l2"
  },
  "CAP_03226718": {
   "en": "Places365 Scene Model Inference",
   "zh": "Places365 场景模型推理",
   "level": "l3"
  },
  "CAP_ad2b9bf6": {
   "en": "Scene Classification Postprocessing",
   "zh": "场景分类后处理",
   "level": "l3"
  },
  "CAP_e547a6a8": {
   "en": "Scene Label Contrastive Classification",
   "zh": "场景标签对比分类",
   "level": "l3"
  },
  "CAP_b37f6f9f": {
   "en": "ImageNormalizationAndTokenization",
   "zh": "图像归一化与文本Tokenize",
   "level": "l3"
  },
  "CAP_94ef2250": {
   "en": "Scene Context Modeling",
   "zh": "场景上下文建模",
   "level": "l2"
  },
  "CAP_5c913fdf": {
   "en": "Predicate Relationship Classification",
   "zh": "谓词关系分类",
   "level": "l3"
  },
  "CAP_4d921a08": {
   "en": "Geometric Spatial Relation Inference",
   "zh": "几何空间关系推断",
   "level": "l3"
  },
  "CAP_14eaaccb": {
   "en": "LLM Inter-Object Relation Extraction",
   "zh": "LLM物体间关系抽取",
   "level": "l3"
  },
  "CAP_281e0135": {
   "en": "Temporal Validity Interval Annotation",
   "zh": "时间有效性区间标注",
   "level": "l3"
  },
  "CAP_737143c3": {
   "en": "Short-Term Dynamic Detection",
   "zh": "短时动态检测",
   "level": "l3"
  },
  "CAP_b7283724": {
   "en": "SceneGraphSerialization",
   "zh": "场景图序列化",
   "level": "l3"
  },
  "CAP_98efe44e": {
   "en": "Mesh Deformation via Optimized Trajectory",
   "zh": "基于优化轨迹的网格形变",
   "level": "l3"
  },
  "CAP_b1e0470a": {
   "en": "Semantic Goal Grounding",
   "zh": "语义目标接地",
   "level": "l3"
  },
  "CAP_b1d0ceac": {
   "en": "Polynomial Trajectory Parameterization for Flat Output",
   "zh": "平坦输出多项式轨迹参数化",
   "level": "l3"
  },
  "CAP_64c3db6f": {
   "en": "Incremental DSG Navigation Update",
   "zh": "增量场景图导航更新",
   "level": "l3"
  },
  "CAP_91f7d2f4": {
   "en": "Scene Memory Representation and Retrieval",
   "zh": "情景场景上下文记忆累积",
   "level": "l2"
  },
  "CAP_420221a6": {
   "en": "Attention-Based Context-Conditioned Navigation Policy",
   "zh": "注意力条件化导航策略",
   "level": "l2"
  },
  "CAP_f7d74476": {
   "en": "Multi-Modal Observation Encoding for Navigation",
   "zh": "多模态观测嵌入",
   "level": "l3"
  },
  "CAP_b32f3416": {
   "en": "Self-Attention Memory Encoding",
   "zh": "记忆自注意力编码",
   "level": "l3"
  },
  "CAP_df785358": {
   "en": "Memory Factorization via Farthest Point Sampling",
   "zh": "FPS 记忆分解",
   "level": "l3"
  },
  "CAP_493c3360": {
   "en": "Stochastic Action Sampling and Execution",
   "zh": "随机动作采样与执行",
   "level": "l3"
  },
  "CAP_bb106350": {
   "en": "Context-Conditioned Navigation Execution",
   "zh": "上下文条件化导航执行",
   "level": "l2"
  },
  "CAP_b5f1925d": {
   "en": "RAG-Augmented LLM Navigation Planning",
   "zh": "RAG 增强场景图导航规划",
   "level": "l2"
  },
  "CAP_9f1625d1": {
   "en": "Dynamic 3D Scene Graph Construction",
   "zh": "动态 3D 场景图构建",
   "level": "l2"
  },
  "CAP_ea9c4b28": {
   "en": "3D Scene Graph Entity Document Indexing",
   "zh": "3D 场景图实体文档索引",
   "level": "l3"
  },
  "CAP_78496eda": {
   "en": "LLM-Guided Pre-Retrieval Abstraction",
   "zh": "LLM 引导预检索抽象",
   "level": "l3"
  },
  "CAP_e1c6ab28": {
   "en": "Subgraph Grounding and Retrieval",
   "zh": "子图接地与检索",
   "level": "l3"
  },
  "CAP_3dc12bf0": {
   "en": "ReAct Interleaved Thought-Action Planning",
   "zh": "ReAct 交错思维-动作规划",
   "level": "l3"
  },
  "CAP_2774ce71": {
   "en": "Action and Thought Feedback for Retrieval",
   "zh": "动作与思维反馈检索调整",
   "level": "l3"
  },
  "CAP_ef02b5f2": {
   "en": "Navigation Decision Trigger",
   "zh": "导航决策触发",
   "level": "l3"
  },
  "CAP_4c036869": {
   "en": "Scan Context Global Descriptor for Inter-Robot Loop Detection",
   "zh": "Scan Context全局描述子跨机器人回环检测",
   "level": "l3"
  },
  "CAP_0dcbc81e": {
   "en": "Constraint Score Verification",
   "zh": "约束得分验证",
   "level": "l3"
  },
  "CAP_438114b5": {
   "en": "Places Node Clustering",
   "zh": "places节点聚类",
   "level": "l3"
  },
  "CAP_6395df61": {
   "en": "Neighborhood Consistency Verification",
   "zh": "邻域一致性验证",
   "level": "l3"
  },
  "CAP_20a2ef93": {
   "en": "Real Scene Capture and Twin Build",
   "zh": "真实场景采集与孪生构建",
   "level": "l2"
  },
  "CAP_b1d5178a": {
   "en": "Asset and Scene Loading",
   "zh": "资产与场景加载",
   "level": "l3"
  },
  "CAP_231fec7a": {
   "en": "ScanNet Scan Loading",
   "zh": "ScanNet场景加载",
   "level": "l3"
  },
  "CAP_3a0f52ea": {
   "en": "Scene Graph Assembly & Pose Placement",
   "zh": "场景图组装与位姿摆放",
   "level": "l3"
  },
  "CAP_359865f5": {
   "en": "NavMesh Baking & Walkable Space Generation",
   "zh": "导航网格烘焙与可行走空间生成",
   "level": "l3"
  },
  "CAP_10370f53": {
   "en": "Two-Stage Message Passing SGG",
   "zh": "两阶段消息传递场景图生成",
   "level": "l2"
  },
  "CAP_aa3cd84d": {
   "en": "One-Stage Transformer SGG",
   "zh": "一阶段Transformer场景图生成",
   "level": "l2"
  },
  "CAP_6a98e6c4": {
   "en": "Panoptic Scene Graph Generation",
   "zh": "全景场景图生成",
   "level": "l2"
  },
  "CAP_3ec67563": {
   "en": "SGG Object Pair Sampling",
   "zh": "SGG物体对采样",
   "level": "l3"
  },
  "CAP_e94d5727": {
   "en": "SGG Context Message Passing Encoding",
   "zh": "SGG上下文消息传递编码",
   "level": "l3"
  },
  "CAP_1c9d406a": {
   "en": "SGG Long-Tail Debiasing Inference",
   "zh": "SGG长尾去偏推断",
   "level": "l3"
  },
  "CAP_eb07ee3c": {
   "en": "Entity Triplet Query Initialization",
   "zh": "实体三元组查询初始化",
   "level": "l3"
  },
  "CAP_71f3d051": {
   "en": "RelTR Triplet Decoding Attention",
   "zh": "RelTR三元组解码注意力",
   "level": "l3"
  },
  "CAP_1b27ee0a": {
   "en": "Triplet Set Prediction Postprocess",
   "zh": "三元组集合预测后处理",
   "level": "l3"
  },
  "CAP_21acbdb6": {
   "en": "One-Stage SGG Evaluation",
   "zh": "一阶段SGG评测",
   "level": "l3"
  },
  "CAP_a906e82b": {
   "en": "PSG Panoptic Mask Prediction",
   "zh": "PSG全景掩码预测",
   "level": "l3"
  },
  "CAP_49c1e23f": {
   "en": "PSG Mask Node Construction",
   "zh": "PSG掩码节点构建",
   "level": "l3"
  },
  "CAP_727fc70b": {
   "en": "PSG Triplet Query Relation Prediction",
   "zh": "PSG三元组查询关系预测",
   "level": "l3"
  },
  "CAP_cd913625": {
   "en": "PSG Mask Scene Graph Assembly",
   "zh": "PSG掩码场景图组装",
   "level": "l3"
  },
  "CAP_9d3ca130": {
   "en": "PSG Mask Recall Evaluation",
   "zh": "PSG掩码召回评测",
   "level": "l3"
  },
  "CAP_3e08420c": {
   "en": "PSG High-Low Frequency Debiasing",
   "zh": "PSG高低频去偏",
   "level": "l3"
  },
  "CAP_7fcd58e1": {
   "en": "Scene-Graph Loop Merge & Registration",
   "zh": "场景图闭环合并",
   "level": "l3"
  },
  "CAP_c4aea367": {
   "en": "Learning-Based Scene-Graph Descriptor",
   "zh": "学习式场景图GNN描述子",
   "level": "l3"
  },
  "CAP_60c2539f": {
   "en": "Multi-Robot Scene-Graph Align & Reconcile",
   "zh": "多机器人场景图对齐调和",
   "level": "l3"
  },
  "CAP_36529662": {
   "en": "Open-Vocabulary Scene Graph Context Grounding",
   "zh": "开放词表场景图上下文定位",
   "level": "l2"
  },
  "CAP_15f06528": {
   "en": "Open-Vocabulary 3D Instance Mapping",
   "zh": "开放词表 3D 实例建图",
   "level": "l2"
  },
  "CAP_246d8f43": {
   "en": "Multi-View 2D-To-3D Instance Fusion",
   "zh": "多视角 2D 到 3D 实例融合",
   "level": "l3"
  },
  "CAP_4393e1bb": {
   "en": "Metric Spatial Relation Edge Encoding",
   "zh": "度量空间关系边编码",
   "level": "l3"
  },
  "CAP_33eab48e": {
   "en": "Scene Graph Based Localization Inference",
   "zh": "场景图上定位推断",
   "level": "l2"
  },
  "CAP_4886d57b": {
   "en": "Star Query Subgraph Matching And Reranking",
   "zh": "星型查询图子图匹配与重排序",
   "level": "l3"
  },
  "CAP_b109fd2b": {
   "en": "Deductive Scene Reasoning Entity Grounding",
   "zh": "场景图演绎推理实体定位",
   "level": "l3"
  },
  "CAP_dcf4e164": {
   "en": "Symbolic Scene Knowledge Query",
   "zh": "符号化场景知识查询",
   "level": "l2"
  },
  "CAP_9751cbd0": {
   "en": "3D Scene Graph Node Vector Indexing",
   "zh": "3D场景图节点向量索引",
   "level": "l3"
  },
  "CAP_245c0b5a": {
   "en": "Self-Query Task Relevance Feedback",
   "zh": "自查询任务相关性反馈",
   "level": "l3"
  },
  "CAP_ac7718c8": {
   "en": "Incremental Geometric Segmentation Update",
   "zh": "增量几何分割更新",
   "level": "l3"
  },
  "CAP_1f9a8e00": {
   "en": "Scene Graph Node Edge Online Prediction",
   "zh": "场景图节点边在线预测",
   "level": "l3"
  },
  "CAP_b809aa37": {
   "en": "Spatio-Temporal Object Persistence Modeling",
   "zh": "时空物体持久性建模",
   "level": "l3"
  },
  "CAP_759b7a9d": {
   "en": "Floorplan Structure Parsing",
   "zh": "平面图结构解析",
   "level": "l2"
  },
  "CAP_ac1ca3a3": {
   "en": "Corner Heatmap Regression",
   "zh": "角点热图回归",
   "level": "l3"
  },
  "CAP_38089547": {
   "en": "Room Polygon Integer Programming",
   "zh": "房间多边形整数规划",
   "level": "l3"
  },
  "CAP_8e888f36": {
   "en": "Coordinate Descent Room Loop",
   "zh": "坐标下降房间环求解",
   "level": "l3"
  },
  "CAP_44528e98": {
   "en": "Global Consistency Integer Programming",
   "zh": "全局一致性整数规划",
   "level": "l3"
  },
  "CAP_4312683b": {
   "en": "Manhattan Wall Snapping",
   "zh": "曼哈顿墙线吸附",
   "level": "l3"
  },
  "CAP_4d6dafde": {
   "en": "IFC4 Building Model Export",
   "zh": "IFC4 建筑模型导出",
   "level": "l3"
  },
  "CAP_b0cbda9b": {
   "en": "Scene Text OCR Pipeline",
   "zh": "场景文本 OCR 流水线",
   "level": "l2"
  },
  "CAP_dbcaa36e": {
   "en": "Image Acquisition And Preprocess",
   "zh": "图像采集与预处理",
   "level": "l2"
  },
  "CAP_cccb1582": {
   "en": "Load Scene Image",
   "zh": "载入场景图像",
   "level": "l3"
  },
  "CAP_5f1171bf": {
   "en": "Text Region Detection",
   "zh": "文本区域检测",
   "level": "l2"
  },
  "CAP_1c2ad1f8": {
   "en": "Detect Text Regions",
   "zh": "检测文本区域",
   "level": "l3"
  },
  "CAP_903c80e2": {
   "en": "ROI Crop And Rectify",
   "zh": "ROI 裁剪与校正",
   "level": "l2"
  },
  "CAP_ef836241": {
   "en": "Text Sequence Recognition",
   "zh": "文本序列识别",
   "level": "l2"
  },
  "CAP_8d788345": {
   "en": "Recognize Cropped Text",
   "zh": "识别裁剪文本",
   "level": "l3"
  },
  "CAP_c7c00b60": {
   "en": "Recognize Text With ViTSTR",
   "zh": "用 ViTSTR 识别文本",
   "level": "l3"
  },
  "CAP_c40fd4d3": {
   "en": "Reading Order And Postprocess",
   "zh": "阅读顺序与后处理",
   "level": "l2"
  },
  "CAP_817668d9": {
   "en": "Order Text By Reading",
   "zh": "按阅读顺序排文本",
   "level": "l3"
  },
  "CAP_4e017a31": {
   "en": "Classify Text Direction",
   "zh": "分类文本方向",
   "level": "l3"
  },
  "CAP_9287efc0": {
   "en": "Arbitrary Shape Text Spotting",
   "zh": "任意形状场景文本读取",
   "level": "l2"
  },
  "CAP_a140e992": {
   "en": "Character Region Awareness Detection",
   "zh": "字符区域感知检测",
   "level": "l3"
  },
  "CAP_507e54c1": {
   "en": "Differentiable Binarization Detection",
   "zh": "可微二值化检测",
   "level": "l3"
  },
  "CAP_20a5b14e": {
   "en": "Adaptive Boundary Proposal Detection",
   "zh": "自适应边界提议检测",
   "level": "l3"
  },
  "CAP_32baedee": {
   "en": "Relational Reasoning Graph Detection",
   "zh": "关系推理图检测",
   "level": "l3"
  },
  "CAP_0956cc23": {
   "en": "Curve Polygon Reconstruction",
   "zh": "曲线多边形重建",
   "level": "l3"
  },
  "CAP_18adc742": {
   "en": "Disk-Sequence Curve Detection",
   "zh": "磁盘序列曲线检测",
   "level": "l3"
  },
  "CAP_1223a869": {
   "en": "Bezier Curve Spotting",
   "zh": "贝塞尔曲线端到端检测识别",
   "level": "l3"
  },
  "CAP_3c3b53e7": {
   "en": "Generative Transformer Text Recognition",
   "zh": "生成式 Transformer 场景文本识别",
   "level": "l2"
  },
  "CAP_a8368646": {
   "en": "Autoregressive Text Decoding",
   "zh": "自回归文本解码",
   "level": "l3"
  },
  "CAP_8ce31ff4": {
   "en": "End-to-End VLM OCR",
   "zh": "端到端 VLM 文档 OCR",
   "level": "l3"
  },
  "CAP_0aeae152": {
   "en": "Bidirectional Iterative Language Modeling",
   "zh": "双向迭代语言建模",
   "level": "l3"
  },
  "CAP_26e3999d": {
   "en": "Multi-Granularity Prediction",
   "zh": "多粒度预测",
   "level": "l3"
  },
  "CAP_1cd6984b": {
   "en": "Semantic Reasoning Network",
   "zh": "语义推理网络",
   "level": "l3"
  },
  "CAP_cc8bae9a": {
   "en": "DEM Parameter Calibration",
   "zh": "DEM 参数标定",
   "level": "l3"
  },
  "CAP_5af1ce0e": {
   "en": "Bucket Resistance Analytical Model (FEE/RFT)",
   "zh": "铲斗阻力解析模型（FEE/RFT）",
   "level": "l3"
  },
  "CAP_9b93e98a": {
   "en": "MBD-DEM Co-simulation",
   "zh": "MBD-DEM 联合仿真",
   "level": "l3"
  },
  "CAP_d52ffd16": {
   "en": "Scoop Fill Factor Prediction",
   "zh": "舀取填充因子预测",
   "level": "l3"
  },
  "CAP_f07e41c0": {
   "en": "Contact-Implicit Transition Trajectory Optimization",
   "zh": "接触隐式过渡轨迹优化",
   "level": "l3"
  },
  "CAP_e6271d3a": {
   "en": "Soil Resistance Terrain Modeling",
   "zh": "土体阻力地形建模",
   "level": "l3"
  },
  "CAP_937dce8b": {
   "en": "Handheld Demonstration Data Collection",
   "zh": "手持式示教数据采集",
   "level": "l3"
  },
  "CAP_89f3527c": {
   "en": "Imitation Learning for Granular Scooping",
   "zh": "模仿学习颗粒舀取",
   "level": "l3"
  },
  "CAP_4f93417a": {
   "en": "Reinforcement Learning for Granular Manipulation",
   "zh": "强化学习散体操作",
   "level": "l3"
  },
  "CAP_e2f37237": {
   "en": "Media Perception and Segmentation",
   "zh": "介质感知与分割",
   "level": "l3"
  },
  "CAP_dac056bc": {
   "en": "Target-Mass Closed-Loop Feedback",
   "zh": "目标量闭环反馈",
   "level": "l3"
  },
  "CAP_8177dc70": {
   "en": "Active Perception Scooping",
   "zh": "主动感知舀取",
   "level": "l3"
  },
  "CAP_816a3fb2": {
   "en": "IDQL Score-Refined Offline Policy Pipeline",
   "zh": "IDQL分数精修离线策略管线",
   "level": "l2"
  },
  "CAP_fd9289a6": {
   "en": "DDPM Behavior Policy Training",
   "zh": "DDPM行为策略训练",
   "level": "l3"
  },
  "CAP_fb822b4f": {
   "en": "Critic Advantage Weighted Selection",
   "zh": "Critic优势加权动作选择",
   "level": "l3"
  },
  "CAP_daaaf4e2": {
   "en": "IDQL Online Finetuning Execution",
   "zh": "IDQL在线微调执行",
   "level": "l3"
  },
  "CAP_2fb9875a": {
   "en": "Trajectory Diffusion Network Training",
   "zh": "轨迹扩散网络训练",
   "level": "l3"
  },
  "CAP_9ebf9f30": {
   "en": "Value Function Guide Training",
   "zh": "值函数引导训练",
   "level": "l3"
  },
  "CAP_e4f2edb9": {
   "en": "Diffusion-QL Training-Loss Refinement Pipeline",
   "zh": "Diffusion-QL训练损失精修管线",
   "level": "l2"
  },
  "CAP_e641ca87": {
   "en": "Twin Q-Network Training",
   "zh": "Twin Q网络训练",
   "level": "l3"
  },
  "CAP_05171206": {
   "en": "BC+PG Composite Diffusion Training",
   "zh": "BC+PG复合扩散训练",
   "level": "l3"
  },
  "CAP_da59b5e2": {
   "en": "Reverse Diffusion Action Inference",
   "zh": "反向扩散动作推理",
   "level": "l3"
  },
  "CAP_03788346": {
   "en": "Scribble Based Segmentation",
   "zh": "涂鸦式分割",
   "level": "l2"
  },
  "CAP_77ea2768": {
   "en": "Scribble Prompt Collection",
   "zh": "涂鸦提示采集",
   "level": "l3"
  },
  "CAP_f39e9bb3": {
   "en": "Scribble Mask Encoding",
   "zh": "涂鸦掩码编码",
   "level": "l3"
  },
  "CAP_4367c919": {
   "en": "Deep Scribble to Mask Inference",
   "zh": "深度涂鸦转掩码推理",
   "level": "l2"
  },
  "CAP_c766271c": {
   "en": "Scribble to Mask Network Inference",
   "zh": "涂鸦转掩码网络推理",
   "level": "l3"
  },
  "CAP_d3a220a3": {
   "en": "Classical Diffusion Scribble Segmentation",
   "zh": "经典扩散涂鸦分割",
   "level": "l2"
  },
  "CAP_e11fb6af": {
   "en": "Geodesic Distance Propagation",
   "zh": "测地距离传播",
   "level": "l3"
  },
  "CAP_640c00c3": {
   "en": "Scribble Weak-Supervision Signal Construction",
   "zh": "涂鸦弱监督信号构建",
   "level": "l2"
  },
  "CAP_ef2ae0a7": {
   "en": "Scribble Partial Supervision Mask Construction",
   "zh": "涂鸦部分监督掩码构建",
   "level": "l3"
  },
  "CAP_8247e6d1": {
   "en": "Partial Cross-Entropy Loss",
   "zh": "部分交叉熵损失",
   "level": "l3"
  },
  "CAP_1f2c1152": {
   "en": "Weakly-Supervised Segmentation Network Training",
   "zh": "弱监督分割网络训练",
   "level": "l2"
  },
  "CAP_ef39d698": {
   "en": "Scribble-Supervised Segmentation Network Training",
   "zh": "涂鸦弱监督分割网络训练",
   "level": "l3"
  },
  "CAP_55c23045": {
   "en": "Graph-Regularized Segmentation Loss",
   "zh": "图正则化分割损失",
   "level": "l3"
  },
  "CAP_07e38f31": {
   "en": "Scribble Pseudo-Label Self-Boosting",
   "zh": "涂鸦伪标签自举",
   "level": "l2"
  },
  "CAP_827b0a26": {
   "en": "Superpixel Graph-Cut Label Propagation",
   "zh": "超像素图割标签传播",
   "level": "l3"
  },
  "CAP_563ba583": {
   "en": "Seeded Region Growing Refinement",
   "zh": "种子区域生长精化",
   "level": "l3"
  },
  "CAP_8feacb96": {
   "en": "Random Walker Diffusion Solving",
   "zh": "随机游走扩散求解",
   "level": "l3"
  },
  "CAP_7c1d0a26": {
   "en": "Seabed Relative Altitude Sensing",
   "zh": "海底相对高度感知",
   "level": "l2"
  },
  "CAP_e740dcda": {
   "en": "DVL Bottom-Track Altitude Measurement",
   "zh": "DVL底跟踪高度测量",
   "level": "l3"
  },
  "CAP_c64a3d39": {
   "en": "Altimeter Sonar Altitude Measurement",
   "zh": "测高声纳高度测量",
   "level": "l3"
  },
  "CAP_3ab694e9": {
   "en": "Pressure Depth Gauge Measurement",
   "zh": "压力深度计测量",
   "level": "l3"
  },
  "CAP_99a719e8": {
   "en": "Altitude Estimation Filtering",
   "zh": "高度估计滤波",
   "level": "l3"
  },
  "CAP_7b7325b5": {
   "en": "Terrain-Following Reference Generation",
   "zh": "仿形参考生成",
   "level": "l2"
  },
  "CAP_feed43e8": {
   "en": "Altitude Hold Reference Setting",
   "zh": "定高参考设定",
   "level": "l3"
  },
  "CAP_14ad9a19": {
   "en": "Online Terrain Prediction",
   "zh": "在线地形预测",
   "level": "l3"
  },
  "CAP_586b8984": {
   "en": "Vertical-Plane Tracking Control",
   "zh": "垂直面跟踪控制",
   "level": "l2"
  },
  "CAP_a76400b9": {
   "en": "Height-Depth Cascaded Control",
   "zh": "高度-深度级联控制",
   "level": "l3"
  },
  "CAP_e8532035": {
   "en": "Terrain-Adaptive Optimal Guidance",
   "zh": "地形自适应最优制导",
   "level": "l3"
  },
  "CAP_31177cdc": {
   "en": "Sliding-Mode Terrain Tracking Control",
   "zh": "滑模地形跟踪控制",
   "level": "l3"
  },
  "CAP_54c30abc": {
   "en": "Near-Bottom Horizontal Track Keeping",
   "zh": "近底水平航迹保持",
   "level": "l2"
  },
  "CAP_9e1c65e2": {
   "en": "Waypoint Survey-Line Tracking",
   "zh": "航点测线跟踪",
   "level": "l3"
  },
  "CAP_47a68314": {
   "en": "Terrain-Following Mode & Safety Management",
   "zh": "地形跟随模式与安全管理",
   "level": "l2"
  },
  "CAP_a8874b2a": {
   "en": "Altitude Envelope Protection",
   "zh": "高度包络保护",
   "level": "l3"
  },
  "CAP_0499991c": {
   "en": "Bottom-Track Loss Handling",
   "zh": "底跟踪丢失处理",
   "level": "l3"
  },
  "CAP_c74ccb5a": {
   "en": "Bathymetric Sonar Mapping",
   "zh": "声纳测深建图",
   "level": "l2"
  },
  "CAP_7d545ced": {
   "en": "MBES Acquisition & Beam Transform",
   "zh": "多波束采集与波束变换",
   "level": "l3"
  },
  "CAP_9db33ad2": {
   "en": "Bathymetric Data Filtering",
   "zh": "测深数据处理与滤波",
   "level": "l3"
  },
  "CAP_fdefaf56": {
   "en": "Bathymetric Grid Building",
   "zh": "测深网格/DEM构建",
   "level": "l3"
  },
  "CAP_edd86aaf": {
   "en": "Seabed Isobath and Ridge Line Extraction",
   "zh": "海底等深线与脊线提取",
   "level": "l3"
  },
  "CAP_9efe516b": {
   "en": "Particle Filter Multi-Hypothesis Terrain Matching",
   "zh": "粒子滤波多假设地形匹配",
   "level": "l2"
  },
  "CAP_570d7957": {
   "en": "MBES Sonar Likelihood Evaluation",
   "zh": "多波束声纳似然评估",
   "level": "l3"
  },
  "CAP_0f18bd98": {
   "en": "Terrain Reference Map Access",
   "zh": "地形参考地图访问",
   "level": "l2"
  },
  "CAP_3cef39b9": {
   "en": "Terrain Risk Costmap Generation",
   "zh": "地形风险代价图构建",
   "level": "l3"
  },
  "CAP_366ecc17": {
   "en": "Isobath Corridor Path Planning",
   "zh": "等深线走廊航迹规划",
   "level": "l3"
  },
  "CAP_694e085b": {
   "en": "Terrain-Guided Path Planning",
   "zh": "地形引导航迹规划",
   "level": "l2"
  },
  "CAP_290bbefd": {
   "en": "Visual Inertial Pressure SLAM",
   "zh": "视觉惯性水压紧耦合SLAM",
   "level": "l2"
  },
  "CAP_147620c5": {
   "en": "Underwater Image Contrast Enhancement",
   "zh": "水下图像对比度增强",
   "level": "l3"
  },
  "CAP_00254d3d": {
   "en": "Underwater Visual Feature Extraction and Tracking",
   "zh": "水下视觉特征提取与跟踪",
   "level": "l3"
  },
  "CAP_d2072cde": {
   "en": "Underwater Visual-Inertial-Pressure Initialization",
   "zh": "水下视觉-惯性-压力联合初始化",
   "level": "l3"
  },
  "CAP_46132381": {
   "en": "Sonar-Visual-Inertial-Depth Tightly-Coupled Optimization",
   "zh": "紧耦合声纳-视觉-惯性-深度联合优化",
   "level": "l3"
  },
  "CAP_4b1b8525": {
   "en": "Underwater Visual Loop Closure",
   "zh": "水下回环检测与位姿图优化",
   "level": "l3"
  },
  "CAP_5af6416c": {
   "en": "Seasonal Invariant Descriptor Localization",
   "zh": "季节不变描述子定位",
   "level": "l2"
  },
  "CAP_0ba8df16": {
   "en": "Cross-Weather Invariance Learning",
   "zh": "跨天气不变性学习",
   "level": "l3"
  },
  "CAP_8734a721": {
   "en": "Cross-Condition Training Pair Collection",
   "zh": "跨条件训练对采集",
   "level": "l3"
  },
  "CAP_f31d9d63": {
   "en": "Patch-Level Candidate Reranking",
   "zh": "patch级候选重排",
   "level": "l3"
  },
  "CAP_eb2dc0fa": {
   "en": "Place Match to Relocalization Output",
   "zh": "地点匹配重定位输出",
   "level": "l3"
  },
  "CAP_19d8d4ca": {
   "en": "Multi-Experience Seasonal Localization",
   "zh": "多经验季节定位",
   "level": "l2"
  },
  "CAP_3fb9495a": {
   "en": "Seasonal Teach Pass Execution",
   "zh": "季节性示教遍历执行",
   "level": "l3"
  },
  "CAP_e92b134a": {
   "en": "Path Graph Branching & Loop Closure in Teach Mode",
   "zh": "路径图分支与 teach 模式回环",
   "level": "l3"
  },
  "CAP_881aa0af": {
   "en": "Local Pose Graph Optimization in Teach Mode",
   "zh": "teach 模式局部位姿图优化",
   "level": "l3"
  },
  "CAP_e6d8ed80": {
   "en": "Multi-Experience Localization Map Storage",
   "zh": "多经验定位地图存储",
   "level": "l3"
  },
  "CAP_41793265": {
   "en": "Cross-Season Experience Window Selection",
   "zh": "跨季节经验窗口选择",
   "level": "l3"
  },
  "CAP_24188f3c": {
   "en": "Path Network Traversal Planning",
   "zh": "路径网络遍历规划",
   "level": "l3"
  },
  "CAP_e57ea0f8": {
   "en": "Seasonal Adaptation Performance Assessment",
   "zh": "季节适应性能评估",
   "level": "l3"
  },
  "CAP_5d838ebd": {
   "en": "Seasonal Image Translation Localization",
   "zh": "季节图像翻译定位",
   "level": "l2"
  },
  "CAP_5e1584c1": {
   "en": "Translated Image Feature Localization",
   "zh": "翻译后特征定位",
   "level": "l3"
  },
  "CAP_86d80f55": {
   "en": "Sequence Image Window Acquisition",
   "zh": "序列图像窗口采集",
   "level": "l3"
  },
  "CAP_721fc8d1": {
   "en": "Difference Matrix Computation",
   "zh": "差异矩阵计算",
   "level": "l3"
  },
  "CAP_d8553f7a": {
   "en": "Path Tracking Waypoint Selection",
   "zh": "路径跟踪航点选择",
   "level": "l3"
  },
  "CAP_fb11163f": {
   "en": "Image Sequence Preprocessing",
   "zh": "图像序列预处理",
   "level": "l3"
  },
  "CAP_85b9fbba": {
   "en": "Local Contrast Stretch",
   "zh": "局部对比度拉伸",
   "level": "l3"
  },
  "CAP_b23d6e99": {
   "en": "Diagonal Sequence Matching",
   "zh": "对角线序列匹配",
   "level": "l3"
  },
  "CAP_257e059a": {
   "en": "Multi-Experience Map Localization",
   "zh": "多经验地图定位建图",
   "level": "l2"
  },
  "CAP_39bda408": {
   "en": "Multi-Experience Visual Localization",
   "zh": "多经验视觉定位",
   "level": "l3"
  },
  "CAP_a6654500": {
   "en": "Window Experience Matching",
   "zh": "窗口经验匹配",
   "level": "l3"
  },
  "CAP_ed152ed4": {
   "en": "Experience Graph Management",
   "zh": "经验图管理",
   "level": "l3"
  },
  "CAP_27dce095": {
   "en": "Control FDT Public Key Injection",
   "zh": "Control FDT 公钥注入与编译配置",
   "level": "l3"
  },
  "CAP_99742664": {
   "en": "Veritysetup Hash Tree Generation",
   "zh": "veritysetup 哈希树生成",
   "level": "l3"
  },
  "CAP_47a18a5d": {
   "en": "avbtool Partition Hash Footer Signing",
   "zh": "avbtool 分区 Hash Footer 签名",
   "level": "l3"
  },
  "CAP_5bf25c27": {
   "en": "avbtool Partition Hashtree Footer Signing",
   "zh": "avbtool 分区 Hashtree Footer 签名",
   "level": "l3"
  },
  "CAP_fce34e4c": {
   "en": "Object Storage Encryption at Rest",
   "zh": "对象存储静态加密配置",
   "level": "l2"
  },
  "CAP_cdc3ab5c": {
   "en": "SSE Encryption Mode Selection",
   "zh": "SSE 加密模式选型",
   "level": "l3"
  },
  "CAP_328e9c58": {
   "en": "KMS KES Backend Binding",
   "zh": "KMS/KES 加密后端绑定",
   "level": "l3"
  },
  "CAP_0f0b110c": {
   "en": "Bucket Default Encryption Enforcement",
   "zh": "桶默认加密与拒绝未加密写入强制",
   "level": "l3"
  },
  "CAP_1fe54b31": {
   "en": "Encryption Metadata Audit",
   "zh": "加密元数据校验审计",
   "level": "l3"
  },
  "CAP_6acac8d3": {
   "en": "Object Storage Access Control",
   "zh": "对象存储访问控制",
   "level": "l2"
  },
  "CAP_d9ce6705": {
   "en": "Least-Privilege Policy Generation",
   "zh": "最小权限策略生成",
   "level": "l3"
  },
  "CAP_1b9e5a27": {
   "en": "Bucket Policy Guardrail",
   "zh": "桶策略强制护栏",
   "level": "l3"
  },
  "CAP_25141bd4": {
   "en": "STS Temporary Credential Issuance",
   "zh": "STS 临时凭证下发",
   "level": "l3"
  },
  "CAP_83586fba": {
   "en": "Presigned URL Time-bound Access",
   "zh": "预签名 URL 时效性访问",
   "level": "l3"
  },
  "CAP_e48f7055": {
   "en": "Storage Access Audit",
   "zh": "存储访问审计",
   "level": "l3"
  },
  "CAP_4e668e7b": {
   "en": "Object Storage Lifecycle Management",
   "zh": "对象存储数据生命周期管理",
   "level": "l2"
  },
  "CAP_b2641deb": {
   "en": "Versioning and MFA Delete",
   "zh": "版本控制与 MFA 删除",
   "level": "l3"
  },
  "CAP_74a88a29": {
   "en": "Object Lock WORM Retention",
   "zh": "Object Lock WORM 保留与法律保留",
   "level": "l3"
  },
  "CAP_357053dc": {
   "en": "Lifecycle Transition and Expiration",
   "zh": "生命周期转换与过期销毁",
   "level": "l3"
  },
  "CAP_2458e51f": {
   "en": "Immutable Encrypted Backup",
   "zh": "不可变加密备份与恢复",
   "level": "l3"
  },
  "CAP_af272b60": {
   "en": "Secure Communication Protocol",
   "zh": "安全通信协议",
   "level": "l2"
  },
  "CAP_b10ffe2d": {
   "en": "MAVLink Signing Key Management",
   "zh": "MAVLink 签名密钥管理",
   "level": "l3"
  },
  "CAP_dd50e367": {
   "en": "MAVLink Signing Verification",
   "zh": "MAVLink 签名验证",
   "level": "l3"
  },
  "CAP_6e4ea790": {
   "en": "MAVLink Timestamp Synchronization",
   "zh": "MAVLink 时间戳同步",
   "level": "l3"
  },
  "CAP_d70d86cc": {
   "en": "MAVLink Unsigned Packet Policy",
   "zh": "MAVLink 未签名包策略",
   "level": "l3"
  },
  "CAP_a2614c4e": {
   "en": "SecOC Freshness Value Management",
   "zh": "SecOC 新鲜度值管理",
   "level": "l3"
  },
  "CAP_d52eeeeb": {
   "en": "SecOC MAC Computation and Verification",
   "zh": "SecOC MAC 计算与验证",
   "level": "l3"
  },
  "CAP_8a1764e9": {
   "en": "AUTOSAR E2E Data Integrity Protection",
   "zh": "AUTOSAR E2E 数据完整性保护",
   "level": "l3"
  },
  "CAP_81933aeb": {
   "en": "AUTOSAR Key Management for SecOC",
   "zh": "SecOC 密钥管理",
   "level": "l3"
  },
  "CAP_5aafb016": {
   "en": "SecOC Secured PDU Routing",
   "zh": "SecOC 安全 PDU 路由",
   "level": "l3"
  },
  "CAP_aa27bb6e": {
   "en": "Cloud Robot mTLS Transport Security",
   "zh": "云机器人 mTLS 传输安全",
   "level": "l2"
  },
  "CAP_2b14a28a": {
   "en": "OAuth2 JWT Token Issuance",
   "zh": "OAuth2 JWT 令牌签发",
   "level": "l3"
  },
  "CAP_5120ad81": {
   "en": "JWT Claim Verification",
   "zh": "JWT 声明校验",
   "level": "l3"
  },
  "CAP_657c7dfe": {
   "en": "Foxglove WebSocket Secure Streaming",
   "zh": "Foxglove WebSocket 安全数据流",
   "level": "l3"
  },
  "CAP_f6392659": {
   "en": "gRPC mTLS Secure RPC",
   "zh": "gRPC mTLS 安全 RPC",
   "level": "l3"
  },
  "CAP_fcdc116e": {
   "en": "Zero Trust Token Revocation",
   "zh": "零信任令牌吊销",
   "level": "l3"
  },
  "CAP_97d9459c": {
   "en": "DDS Security Plugin Compilation",
   "zh": "DDS安全插件编译",
   "level": "l3"
  },
  "CAP_5250e993": {
   "en": "ROS2KeystoreAndGovernanceGeneration",
   "zh": "ROS2密钥库与治理文件生成",
   "level": "l3"
  },
  "CAP_8df98cda": {
   "en": "DDS Security Keystore Bootstrap",
   "zh": "DDS 安全密钥库引导",
   "level": "l2"
  },
  "CAP_20909483": {
   "en": "DDS Security Policy Authoring",
   "zh": "DDS 安全策略编写",
   "level": "l2"
  },
  "CAP_11892229": {
   "en": "DDS Security Plugin Binding and Launch",
   "zh": "DDS 安全插件绑定与启动",
   "level": "l2"
  },
  "CAP_44e72b9f": {
   "en": "DDS Secure Verification and Monitoring",
   "zh": "DDS 安全验证与监控",
   "level": "l2"
  },
  "CAP_31974d69": {
   "en": "DTLS Secure Datagram Transport",
   "zh": "DTLS 安全数据报传输",
   "level": "l2"
  },
  "CAP_c12ce983": {
   "en": "Secure Upper-Layer Protocol Mapping",
   "zh": "上层应用协议安全映射",
   "level": "l2"
  },
  "CAP_6147f566": {
   "en": "TLS 1.3 Handshake and Peer Certificate Validation",
   "zh": "TLS 1.3 握手与对端证书验证",
   "level": "l3"
  },
  "CAP_a9579d3e": {
   "en": "DTLS Session Establishment and Authentication",
   "zh": "DTLS 会话建立与认证",
   "level": "l3"
  },
  "CAP_ad5c99a5": {
   "en": "CoAP DTLS Secure Session",
   "zh": "CoAP over DTLS 安全会话",
   "level": "l3"
  },
  "CAP_f4682c2e": {
   "en": "TLS Credential Loading and Cipher Suite Configuration",
   "zh": "TLS 凭证装载与密码套件配置",
   "level": "l3"
  },
  "CAP_58ef1a2f": {
   "en": "Certificate Pinning Validation",
   "zh": "证书固定校验",
   "level": "l3"
  },
  "CAP_0d0c365a": {
   "en": "TLS Record Layer AEAD Data Protection",
   "zh": "TLS 记录层 AEAD 数据保护",
   "level": "l3"
  },
  "CAP_ce1095ef": {
   "en": "Datagram Replay Protection Window",
   "zh": "数据报重放保护窗口",
   "level": "l3"
  },
  "CAP_6c116ed4": {
   "en": "Certificate Expiry Audit and Monitoring",
   "zh": "证书到期审计与监控",
   "level": "l3"
  },
  "CAP_9a527e58": {
   "en": "SROS2 Parameter Service Access Control",
   "zh": "SROS2参数服务访问控制",
   "level": "l2"
  },
  "CAP_55409cf1": {
   "en": "Parameter Access Control Verification",
   "zh": "参数访问控制验证",
   "level": "l3"
  },
  "CAP_def00e15": {
   "en": "Parameter Validation Verification",
   "zh": "参数校验验证",
   "level": "l3"
  },
  "CAP_3a2b58d8": {
   "en": "Parameter Secrets Protection Pipeline",
   "zh": "参数密钥保护流水线",
   "level": "l2"
  },
  "CAP_dc546a7e": {
   "en": "Sensitive Parameter Identification and Separation",
   "zh": "敏感参数识别与分离",
   "level": "l3"
  },
  "CAP_bb4dc6a9": {
   "en": "Sensitive Parameter Leak Verification",
   "zh": "敏感参数泄露验证",
   "level": "l3"
  },
  "CAP_cb3a2232": {
   "en": "Device Client Credential Loading",
   "zh": "设备客户端凭据加载",
   "level": "l3"
  },
  "CAP_2daebf2e": {
   "en": "Firmware Artifact Integrity Confirmation",
   "zh": "下载工件完整性确认",
   "level": "l3"
  },
  "CAP_ede09db6": {
   "en": "Server CA Root Certificate Pinning",
   "zh": "服务器 CA 根证书固定",
   "level": "l3"
  },
  "CAP_f2a99397": {
   "en": "CoAP DTLS Firmware Distribution Channel",
   "zh": "CoAP/DTLS 固件分发通道",
   "level": "l2"
  },
  "CAP_cdb95ed0": {
   "en": "LwM2M Firmware Update Object Registration",
   "zh": "LwM2M 固件更新对象注册",
   "level": "l3"
  },
  "CAP_f34178e2": {
   "en": "CoAP Block-wise Firmware Distribution",
   "zh": "CoAP 块传输固件分发",
   "level": "l3"
  },
  "CAP_e976f2c5": {
   "en": "Self-Correction Confidence Help-Seeking Gate",
   "zh": "自我纠正确信度求助门控",
   "level": "l2"
  },
  "CAP_05b58317": {
   "en": "Correction-Outcome Labeled Conformal Calibration",
   "zh": "纠正成败标注共形校准",
   "level": "l3"
  },
  "CAP_637ebc79": {
   "en": "Multi-Metric Threshold Gating",
   "zh": "多指标阈值门控",
   "level": "l3"
  },
  "CAP_9d5c0602": {
   "en": "Self-Assessment Gating",
   "zh": "自评驱动的主动能力门控",
   "level": "l3"
  },
  "CAP_4924076b": {
   "en": "Drift-Based Correction Confidence",
   "zh": "漂移驱动纠正确信度",
   "level": "l3"
  },
  "CAP_14154357": {
   "en": "Reflection Token Self-Evaluation",
   "zh": "反思令牌自评估",
   "level": "l2"
  },
  "CAP_b60b8a1a": {
   "en": "Segment Utility Reranking",
   "zh": "分段效用重排",
   "level": "l2"
  },
  "CAP_41a0a34b": {
   "en": "Introspective Self-Critique Generation",
   "zh": "内省自我批评生成",
   "level": "l2"
  },
  "CAP_8e9a0117": {
   "en": "Verbal Feedback Memory Generation",
   "zh": "语言反馈记忆生成",
   "level": "l2"
  },
  "CAP_404fa45e": {
   "en": "Embodied Failure Self-Diagnosis",
   "zh": "具身失败自诊断",
   "level": "l2"
  },
  "CAP_24963e8b": {
   "en": "Retrieval Need Self-Assessment",
   "zh": "检索需求自评估",
   "level": "l3"
  },
  "CAP_7906fd42": {
   "en": "Utility Score Self-Generation",
   "zh": "效用自评分生成",
   "level": "l3"
  },
  "CAP_937cbe9a": {
   "en": "Segment-wise Beam Search Reranking",
   "zh": "分段束搜索效用重排",
   "level": "l3"
  },
  "CAP_294b2974": {
   "en": "Failure Lesson Extraction",
   "zh": "失败经验教训提取",
   "level": "l3"
  },
  "CAP_7e611490": {
   "en": "Loss-Threshold Sample Selection and Optimization",
   "zh": "损失计算与样本加权",
   "level": "l2"
  },
  "CAP_99c94441": {
   "en": "SPL Regularizer Design",
   "zh": "SPL 正则化器设计",
   "level": "l3"
  },
  "CAP_d0efe398": {
   "en": "Loss-Threshold Selection",
   "zh": "损失阈值样本选择",
   "level": "l3"
  },
  "CAP_22b930c0": {
   "en": "Biconvex Optimization for SPL",
   "zh": "SPL 双凸优化",
   "level": "l3"
  },
  "CAP_6fb72b17": {
   "en": "Pace Parameter Scheduling",
   "zh": "Pace 参数退火调度",
   "level": "l3"
  },
  "CAP_14800d35": {
   "en": "Self-Paced Undersampling and Ensemble Training",
   "zh": "自步欠采样与集成训练",
   "level": "l2"
  },
  "CAP_269838b9": {
   "en": "SPE Configuration Setup",
   "zh": "SPE 参数配置",
   "level": "l3"
  },
  "CAP_91d67d5d": {
   "en": "Classification Hardness Distribution",
   "zh": "分类硬度分布计算",
   "level": "l3"
  },
  "CAP_8c78ee4f": {
   "en": "Self-Paced Undersampling",
   "zh": "自步欠采样",
   "level": "l3"
  },
  "CAP_5bebba07": {
   "en": "SPE Model Evaluation and Deployment",
   "zh": "SPE 模型评估与部署",
   "level": "l3"
  },
  "CAP_3ce95362": {
   "en": "Self-Supervised Depth Evaluation",
   "zh": "自监督深度评估",
   "level": "l3"
  },
  "CAP_f17a116b": {
   "en": "Joint Depth Pose Network Optimization",
   "zh": "联合深度位姿网络优化",
   "level": "l3"
  },
  "CAP_8ab4cda9": {
   "en": "Multi-Frame Geometry-Consistent Depth Estimation",
   "zh": "多帧几何一致性深度估计",
   "level": "l2"
  },
  "CAP_f8ad305c": {
   "en": "Multi-Frame Depth Decoder with Monocular Fusion",
   "zh": "多帧深度解码与单目特征融合",
   "level": "l3"
  },
  "CAP_71600f12": {
   "en": "Cost Volume Reliability Consistency Loss",
   "zh": "代价体积可信一致性约束",
   "level": "l3"
  },
  "CAP_03840819": {
   "en": "Self-Discovered Dynamic Region Mask",
   "zh": "自发现动态区域掩膜",
   "level": "l3"
  },
  "CAP_278d73fe": {
   "en": "Cross Frame Depth Geometry Consistency",
   "zh": "跨帧深度几何一致性损失",
   "level": "l3"
  },
  "CAP_bc49a085": {
   "en": "Dynamic Pixel Mask Generation",
   "zh": "动态像素掩膜生成",
   "level": "l3"
  },
  "CAP_9e3d2f42": {
   "en": "Object Motion Decomposition",
   "zh": "物体运动网络估计",
   "level": "l3"
  },
  "CAP_c4e5422d": {
   "en": "Object Size Constraint Loss",
   "zh": "物体尺度约束损失",
   "level": "l3"
  },
  "CAP_346b7f8c": {
   "en": "Dense Object Motion Field Regularization",
   "zh": "稠密物体运动场正则化",
   "level": "l3"
  },
  "CAP_ec5d78f0": {
   "en": "Online Test Time Refinement",
   "zh": "测试时在线细化",
   "level": "l3"
  },
  "CAP_5fc2b2ac": {
   "en": "Embodied Visual Frame Curation",
   "zh": "具身视觉帧筛选",
   "level": "l3"
  },
  "CAP_38eae0ef": {
   "en": "Contrastive Value-Implicit Embodied Pretraining",
   "zh": "对比与隐式价值式具身预训练",
   "level": "l2"
  },
  "CAP_5884f4ec": {
   "en": "Ego4D Video Triplet and Goal Pair Sampling",
   "zh": "Ego4D视频三元组与目标对采样",
   "level": "l3"
  },
  "CAP_391ea588": {
   "en": "MAE Masking Strategy Configuration",
   "zh": "MAE 掩码策略配置",
   "level": "l3"
  },
  "CAP_0812241f": {
   "en": "Contrastive Pretraining Path Coordination",
   "zh": "对比预训练路径协调",
   "level": "l3"
  },
  "CAP_7993df8b": {
   "en": "Implicit Value Temporal Contrastive",
   "zh": "隐式价值时序对比",
   "level": "l3"
  },
  "CAP_9ee35be9": {
   "en": "VideoFrameDatasetPreprocessing",
   "zh": "视频帧数据集预处理",
   "level": "l3"
  },
  "CAP_7ae7654a": {
   "en": "UnlabeledRobotImageCorpusCuration",
   "zh": "机器人无标注图像语料构建",
   "level": "l3"
  },
  "CAP_020e29cd": {
   "en": "RandomPatchMasking",
   "zh": "高比例随机补丁掩码",
   "level": "l3"
  },
  "CAP_fda2f02a": {
   "en": "Temporal Contrastive Learning",
   "zh": "时序对比学习",
   "level": "l1"
  },
  "CAP_810c7215": {
   "en": "Explicit Temporal Triplet Contrastive",
   "zh": "显式时序三元组对比",
   "level": "l2"
  },
  "CAP_8f89448b": {
   "en": "Synchronized Multi-View Video Acquisition",
   "zh": "同步多机位视频采集",
   "level": "l3"
  },
  "CAP_eddc1f4c": {
   "en": "Self-Regression Pose Mapping",
   "zh": "自回归姿态映射",
   "level": "l3"
  },
  "CAP_48238e58": {
   "en": "RL Replay Buffer Trajectory Collection",
   "zh": "RL回放缓冲区轨迹采集",
   "level": "l3"
  },
  "CAP_beb9a8fb": {
   "en": "Random Crop Augmentation Pair Construction",
   "zh": "随机裁剪增强正对构造",
   "level": "l3"
  },
  "CAP_0e46ecb0": {
   "en": "Online Joint Encoder-SAC Policy Training",
   "zh": "在线联合编码器SAC策略训练",
   "level": "l3"
  },
  "CAP_dff0e891": {
   "en": "Tactile Image Corpus Collection",
   "zh": "触觉图像语料采集",
   "level": "l3"
  },
  "CAP_5da1ccdf": {
   "en": "Tactile Image Classification Head",
   "zh": "触觉图像分类头",
   "level": "l3"
  },
  "CAP_abb45b72": {
   "en": "Visual-Tactile Policy Learning",
   "zh": "视触觉策略学习",
   "level": "l3"
  },
  "CAP_e574c6c1": {
   "en": "NLI Consistency Verification",
   "zh": "NLI一致性验证",
   "level": "l3"
  },
  "CAP_988a1075": {
   "en": "Token Probability and Sequence Entropy",
   "zh": "Token概率与序列熵",
   "level": "l3"
  },
  "CAP_b4241cce": {
   "en": "Evidential Theory and Subjective Logic Fusion",
   "zh": "证据理论与主观逻辑融合",
   "level": "l2"
  },
  "CAP_2b9cc4bf": {
   "en": "Evidential NIG Regression",
   "zh": "证据NIG回归",
   "level": "l3"
  },
  "CAP_3ae09f0a": {
   "en": "Ensemble and Stochastic Inference",
   "zh": "集成与随机推理",
   "level": "l3"
  },
  "CAP_0c72a991": {
   "en": "Internal Belief Representation Probing",
   "zh": "内部信念表示探测",
   "level": "l2"
  },
  "CAP_bb9b0631": {
   "en": "LLM Hidden State Extraction",
   "zh": "LLM隐藏层表示提取",
   "level": "l3"
  },
  "CAP_aeeaac7b": {
   "en": "Hidden State Representation Intervention",
   "zh": "隐藏层表示干预",
   "level": "l3"
  },
  "CAP_9090e8f9": {
   "en": "Causal Verification Cross-Task Transfer",
   "zh": "因果验证与跨任务迁移",
   "level": "l3"
  },
  "CAP_a3147e44": {
   "en": "LocalMotionControlToGoal",
   "zh": "局部运动控制到目标",
   "level": "l3"
  },
  "CAP_27e4c134": {
   "en": "Joint Multi-Task Siamese Semantic Change Detection",
   "zh": "联合多任务孪生语义变化检测",
   "level": "l2"
  },
  "CAP_93541543": {
   "en": "Triple-Decoding Branch Semantic Segmentation",
   "zh": "三解码分支语义分割",
   "level": "l3"
  },
  "CAP_daff77fd": {
   "en": "From-To Semantic Transfer Matrix Computation",
   "zh": "from-to 语义转移矩阵计算",
   "level": "l3"
  },
  "CAP_f8c8cfbc": {
   "en": "Semantic Change Tracking for Mapping",
   "zh": "语义变化跟踪建图",
   "level": "l2"
  },
  "CAP_8ab51b66": {
   "en": "3D Semantic Mesh Extraction",
   "zh": "3D 语义网格提取",
   "level": "l3"
  },
  "CAP_0a342b2a": {
   "en": "Object Fragment Tracking",
   "zh": "对象 fragment 跟踪与管理",
   "level": "l3"
  },
  "CAP_71b0b261": {
   "en": "Room Function Change Detection",
   "zh": "房间功能变化检测",
   "level": "l3"
  },
  "CAP_0483e119": {
   "en": "Semantic Change Event Aggregation",
   "zh": "语义变化事件聚合",
   "level": "l3"
  },
  "CAP_183195dc": {
   "en": "Semantic Surfel Dynamic Filtering",
   "zh": "语义 Surfel 动态过滤建图",
   "level": "l2"
  },
  "CAP_da284a0d": {
   "en": "Semantic-Class-Driven Differentiated Lifecycle Strategy Assignment",
   "zh": "语义类驱动差异化生命周期策略分配",
   "level": "l3"
  },
  "CAP_a5ea22c0": {
   "en": "Fragment First-Seen Last-Seen Timestamp Tracking",
   "zh": "Fragment首末观测时间戳追踪",
   "level": "l3"
  },
  "CAP_83201309": {
   "en": "Range Image Semantic Segmentation Dynamic Filtering",
   "zh": "Range Image 语义分割动态过滤",
   "level": "l3"
  },
  "CAP_c4f26cc8": {
   "en": "Semantic-Class-Conditional Differentiated Surfel Filtering Strategy",
   "zh": "语义类条件差异化 Surfel 过滤策略",
   "level": "l3"
  },
  "CAP_13492dba": {
   "en": "Dense Semantic Label Fusion Pipeline",
   "zh": "稠密语义标签融合流水线",
   "level": "l2"
  },
  "CAP_c3d5fc67": {
   "en": "Surfel SLAM Tracking",
   "zh": "面元SLAM跟踪",
   "level": "l3"
  },
  "CAP_1bb1f94d": {
   "en": "Fully-Connected CRF Map Regularization",
   "zh": "全连接 CRF 语义地图正则化",
   "level": "l3"
  },
  "CAP_4c996255": {
   "en": "2D Instance Segmentation Inference",
   "zh": "2D实例分割推理",
   "level": "l3"
  },
  "CAP_c3611cbd": {
   "en": "Zero-Shot Pixel Alignment",
   "zh": "零样本像素对齐",
   "level": "l3"
  },
  "CAP_e7bb9453": {
   "en": "Open-Vocabulary Map Query",
   "zh": "开放词汇地图查询",
   "level": "l3"
  },
  "CAP_0c3db665": {
   "en": "LiDAR Semantic Dynamic Filtering Mapping Pipeline",
   "zh": "激光语义动态过滤建图流水线",
   "level": "l2"
  },
  "CAP_48d0dc47": {
   "en": "Surfel Semantic Bayesian Label Fusion",
   "zh": "面元语义贝叶斯标签融合",
   "level": "l3"
  },
  "CAP_ebc27099": {
   "en": "Semantic-Geometric Dynamic Filtering",
   "zh": "语义-几何残差动态过滤",
   "level": "l3"
  },
  "CAP_2c93b83d": {
   "en": "Surfel Semantic Probability Bayesian Fusion",
   "zh": "面元语义概率贝叶斯融合",
   "level": "l3"
  },
  "CAP_12f69f5b": {
   "en": "Semantic Label Bayesian Update",
   "zh": "语义标签贝叶斯更新",
   "level": "l3"
  },
  "CAP_7c532f8f": {
   "en": "Metric-Semantic 3D Reconstruction",
   "zh": "度量-语义3D重建",
   "level": "l3"
  },
  "CAP_2f3ea3fc": {
   "en": "Object-Level 4D Spatio-Temporal Layered Mapping",
   "zh": "对象级4D时空分层建图",
   "level": "l3"
  },
  "CAP_8d19e461": {
   "en": "Semantic 3D Reconstruction",
   "zh": "语义3D重建",
   "level": "l3"
  },
  "CAP_6a4881e4": {
   "en": "LiDAR Surfel Map Rendering & Tracking",
   "zh": "LiDAR面元地图渲染与跟踪",
   "level": "l3"
  },
  "CAP_ebf4ce5b": {
   "en": "PPO ObjectNav Training",
   "zh": "PPO目标导航策略训练",
   "level": "l3"
  },
  "CAP_1a2592ca": {
   "en": "Foundation-Model Topological Navigation Integration",
   "zh": "基础模型拓扑导航集成",
   "level": "l3"
  },
  "CAP_5e8123fa": {
   "en": "3D Language Field Semantic Part Affordance Grasp Pipeline",
   "zh": "3D语言场语义部件可供性抓取管线",
   "level": "l2"
  },
  "CAP_0c946351": {
   "en": "LERF 3D Language Field Reconstruction",
   "zh": "LERF 3D 语言场重建",
   "level": "l3"
  },
  "CAP_93124188": {
   "en": "DINO 3D Object Open-Vocabulary Segmentation",
   "zh": "DINO 3D 物体开放词表分割",
   "level": "l3"
  },
  "CAP_3b75582d": {
   "en": "Conditional LERF Part Relevancy Query",
   "zh": "条件 LERF 部件相关性查询",
   "level": "l3"
  },
  "CAP_e6f22be2": {
   "en": "Semantic Part Affordance Grasp Ranking",
   "zh": "语义部件可供性抓取排序",
   "level": "l3"
  },
  "CAP_f886c7c9": {
   "en": "Foundation Model Task Embedding Extraction",
   "zh": "基础模型任务嵌入抽取",
   "level": "l3"
  },
  "CAP_dd32887a": {
   "en": "Web-Based Multi-View Image Retrieval",
   "zh": "网络多视图图像检索",
   "level": "l3"
  },
  "CAP_fa6f7c7b": {
   "en": "LLM Concept Semantic Description Generation",
   "zh": "LLM 概念语义描述生成",
   "level": "l3"
  },
  "CAP_1bf6db41": {
   "en": "Language Instruction Template Augmentation",
   "zh": "语言指令模板增强",
   "level": "l3"
  },
  "CAP_3767aec2": {
   "en": "Frozen Language Feature Encoding",
   "zh": "冻结语言特征编码",
   "level": "l3"
  },
  "CAP_208f75ca": {
   "en": "Dense Surfel SLAM Tracking",
   "zh": "稠密 surfel SLAM 跟踪",
   "level": "l3"
  },
  "CAP_6ab6811a": {
   "en": "Label Projection to Mesh Vertices",
   "zh": "Mesh 顶点标签投影",
   "level": "l3"
  },
  "CAP_505cec6b": {
   "en": "Multi-frame Vertex Label Aggregation",
   "zh": "多帧 mesh 顶点标签聚合",
   "level": "l3"
  },
  "CAP_ce175abc": {
   "en": "Dense Semantic Map Building",
   "zh": "稠密语义地图构建",
   "level": "l2"
  },
  "CAP_695ef58c": {
   "en": "2D Semantic Segmentation",
   "zh": "2D 语义分割",
   "level": "l3"
  },
  "CAP_64521b81": {
   "en": "Semantic Backprojection",
   "zh": "语义标签反投影",
   "level": "l3"
  },
  "CAP_28e93017": {
   "en": "Bayesian Semantic Label Fusion",
   "zh": "贝叶斯语义标签融合",
   "level": "l3"
  },
  "CAP_92451cdc": {
   "en": "CRF Semantic Refinement",
   "zh": "CRF 语义精化",
   "level": "l3"
  },
  "CAP_cd4bee1e": {
   "en": "Open-Vocabulary VL Feature Map Building",
   "zh": "开放词表视觉语言特征地图构建",
   "level": "l2"
  },
  "CAP_8453a944": {
   "en": "Per-Pixel Visual-Language Feature Extraction",
   "zh": "逐像素视觉语言特征提取",
   "level": "l3"
  },
  "CAP_7ccfb9a3": {
   "en": "Visual-Language Feature Map Fusion",
   "zh": "视觉语言特征地图融合",
   "level": "l3"
  },
  "CAP_5c0920e6": {
   "en": "Open-Vocabulary Map Indexing",
   "zh": "开放词表地图索引",
   "level": "l3"
  },
  "CAP_bfd7688a": {
   "en": "Open-Vocabulary Obstacle Map Generation",
   "zh": "开放词表障碍物地图生成",
   "level": "l3"
  },
  "CAP_285526d5": {
   "en": "Object Feature Association and Fusion",
   "zh": "物体级特征关联与融合",
   "level": "l3"
  },
  "CAP_ecd27937": {
   "en": "Semantic Value Map Construction",
   "zh": "语义价值地图构建",
   "level": "l3"
  },
  "CAP_f263839c": {
   "en": "Semantic Costmap Navigation",
   "zh": "语义代价地图导航",
   "level": "l2"
  },
  "CAP_0326209b": {
   "en": "BEV Semantic Terrain Classification",
   "zh": "BEV 语义地形分类",
   "level": "l3"
  },
  "CAP_e093a8df": {
   "en": "Semantic Cost Mapping",
   "zh": "语义代价映射",
   "level": "l3"
  },
  "CAP_957a9112": {
   "en": "Nav2 Semantic Cost Layer Integration",
   "zh": "Nav2 语义代价图层集成",
   "level": "l3"
  },
  "CAP_7bc6f7d2": {
   "en": "Language Guided Mobile Navigation",
   "zh": "语言引导移动导航",
   "level": "l2"
  },
  "CAP_7a3f8b2c": {
   "en": "Symbolic Grammar Semantic Parsing Pipeline",
   "zh": "符号语法语义解析流水线",
   "level": "l2"
  },
  "CAP_8c4e9d1a": {
   "en": "CCG Syntactic-Semantic Parsing",
   "zh": "CCG句法语义解析",
   "level": "l3"
  },
  "CAP_402a1f7f": {
   "en": "Semantic IPM BEV Projection",
   "zh": "语义 IPM BEV 投影",
   "level": "l3"
  },
  "CAP_f267e0e6": {
   "en": "Semantic BEV Perception and Projection",
   "zh": "语义 BEV 感知与投影",
   "level": "l2"
  },
  "CAP_b50262c8": {
   "en": "Semantic Element Grid Voting",
   "zh": "语义要素栅格投票",
   "level": "l3"
  },
  "CAP_1abc4e3b": {
   "en": "Semantic Map Acquisition and Initialization",
   "zh": "预建语义地图获取与初始化",
   "level": "l2"
  },
  "CAP_215a1ef8": {
   "en": "Semantic Map Decompression",
   "zh": "语义地图解压",
   "level": "l3"
  },
  "CAP_031c68f8": {
   "en": "Localization Initial Pose Provision",
   "zh": "定位初始位姿提供",
   "level": "l3"
  },
  "CAP_6f83f44a": {
   "en": "Semantic Map Matching Localization",
   "zh": "语义地图匹配定位",
   "level": "l2"
  },
  "CAP_7e0fef00": {
   "en": "BEV Semantic Feature ICP Matching",
   "zh": "BEV 语义要素 ICP 匹配",
   "level": "l3"
  },
  "CAP_4de7647d": {
   "en": "Semantic Localization EKF Fusion",
   "zh": "语义定位 EKF 融合",
   "level": "l3"
  },
  "CAP_c38f009a": {
   "en": "LiDAR Range Image Semantic Segmentation",
   "zh": "距离图像语义分割流水线",
   "level": "l2"
  },
  "CAP_7db43e11": {
   "en": "Semantic Mask Refinement",
   "zh": "语义掩膜细化",
   "level": "l3"
  },
  "CAP_054a5b42": {
   "en": "LiDAR Semantic Map Alignment",
   "zh": "LiDAR 语义地图对齐",
   "level": "l2"
  },
  "CAP_2ceeafff": {
   "en": "LiDAR Semantic Scan-to-Map Registration",
   "zh": "LiDAR 语义扫描配准定位",
   "level": "l2"
  },
  "CAP_eb73b524": {
   "en": "Semantic Weighted ICP Registration",
   "zh": "语义加权 ICP 配准",
   "level": "l3"
  },
  "CAP_d9d96c57": {
   "en": "Semantic Localization Mode Selection",
   "zh": "语义定位模式选择",
   "level": "l3"
  },
  "CAP_575946c8": {
   "en": "Cross-Session Semantic Relocalization",
   "zh": "跨会话语义重定位",
   "level": "l3"
  },
  "CAP_07bbab8c": {
   "en": "Dense Semantic Fusion",
   "zh": "稠密语义融合",
   "level": "l2"
  },
  "CAP_f5936c95": {
   "en": "RGB-D Semantic Segmentation Network Inference",
   "zh": "RGB-D 语义分割网络推理",
   "level": "l3"
  },
  "CAP_0b8c6217": {
   "en": "Semantic Map Tracking and Regularization",
   "zh": "语义地图跟踪与正则化",
   "level": "l2"
  },
  "CAP_1bd34361": {
   "en": "Frame to Model Joint ICP Tracking",
   "zh": "帧到模型联合 ICP 与光度跟踪",
   "level": "l3"
  },
  "CAP_67fc7b8d": {
   "en": "Tracking Failure Relocalization",
   "zh": "跟踪失败重定位",
   "level": "l3"
  },
  "CAP_86b6c1ee": {
   "en": "Semantic Surfel Deformation",
   "zh": "语义面元变形修正",
   "level": "l3"
  },
  "CAP_6a5eaf21": {
   "en": "Semantic Similarity Search",
   "zh": "语义相似度搜索",
   "level": "l3"
  },
  "CAP_0baeacb6": {
   "en": "2D Detection 3D Object Primitive Init",
   "zh": "2D检测3D物体基元初始化",
   "level": "l3"
  },
  "CAP_58f929d9": {
   "en": "3D Cuboid Proposal Generation",
   "zh": "3D立方体提案生成",
   "level": "l3"
  },
  "CAP_2523b2d7": {
   "en": "Deep Shape Prior Code Optimization",
   "zh": "深度形状先验码优化",
   "level": "l3"
  },
  "CAP_0cc8ec87": {
   "en": "Semantic Measurement Probabilistic Data Association",
   "zh": "语义测度概率数据关联",
   "level": "l3"
  },
  "CAP_49beb961": {
   "en": "Object Layout Graph Matching Loop Closure",
   "zh": "物体布局图匹配回环",
   "level": "l3"
  },
  "CAP_ea4e782b": {
   "en": "Randomized Fern Keyframe Encoding",
   "zh": "Randomized Fern关键帧编码",
   "level": "l3"
  },
  "CAP_e408abd8": {
   "en": "Semantic Dynamic Surfel Filtering",
   "zh": "语义动态面元过滤",
   "level": "l3"
  },
  "CAP_be645fd4": {
   "en": "Surfel Based Joint Tracking",
   "zh": "面元联合跟踪",
   "level": "l3"
  },
  "CAP_b7b7ae9f": {
   "en": "Semantic Label Back-projection",
   "zh": "语义标签反投影",
   "level": "l3"
  },
  "CAP_0ad51e79": {
   "en": "Dense CRF Semantic Label Refinement",
   "zh": "稠密 CRF 语义标签精化",
   "level": "l3"
  },
  "CAP_93551e7c": {
   "en": "Surfel Log Odds Active Map Management",
   "zh": "面元稳定性对数几率与活跃地图管理",
   "level": "l2"
  },
  "CAP_b020e664": {
   "en": "LiDAR Surfel ICP Tracking",
   "zh": "LiDAR 面元 ICP 跟踪",
   "level": "l3"
  },
  "CAP_1cee0234": {
   "en": "Range Image Semantic Label Surfel Mapping",
   "zh": "Range Image 语义标签面元映射",
   "level": "l3"
  },
  "CAP_9a4a45f7": {
   "en": "Semantic-Aware Scan Matching",
   "zh": "语义感知扫描匹配",
   "level": "l3"
  },
  "CAP_5ddad949": {
   "en": "Semantic Dynamic Feature Point Rejection",
   "zh": "语义动态特征点剔除",
   "level": "l2"
  },
  "CAP_d6596751": {
   "en": "Feature Point Motion Consistency Check",
   "zh": "特征点运动一致性检查",
   "level": "l3"
  },
  "CAP_2000422b": {
   "en": "Semantic OctoMap Voxel Coloring",
   "zh": "语义八叉树体素着色",
   "level": "l3"
  },
  "CAP_9f943cd0": {
   "en": "GTSAM Factor Graph iSAM2 Preintegration Pipeline",
   "zh": "GTSAM 因子图 iSAM2 预积分管线",
   "level": "l2"
  },
  "CAP_358fd033": {
   "en": "Stereo Visual Feature Tracking",
   "zh": "双目视觉特征跟踪",
   "level": "l3"
  },
  "CAP_018de095": {
   "en": "Incremental Delaunay Mesh Reconstruction",
   "zh": "增量 Delaunay 网格重建",
   "level": "l3"
  },
  "CAP_e19249f3": {
   "en": "Semantic Label Back-projection to Mesh",
   "zh": "语义标签反投影到网格",
   "level": "l3"
  },
  "CAP_92304ff0": {
   "en": "Metric Mapping and Topology Extraction",
   "zh": "度量建图与拓扑提取",
   "level": "l2"
  },
  "CAP_7fbf3532": {
   "en": "Semantic Mapping and Annotation",
   "zh": "语义建图与标注",
   "level": "l2"
  },
  "CAP_4689ff53": {
   "en": "Language-aligned Semantic Topological Annotation",
   "zh": "语言对齐语义拓扑标注",
   "level": "l3"
  },
  "CAP_77669221": {
   "en": "Semantic Feature Extraction and Topology Construction",
   "zh": "语义特征提取与拓扑建图",
   "level": "l2"
  },
  "CAP_083c40cb": {
   "en": "Learned Semantic Topological Feature Extraction",
   "zh": "学习型语义拓扑特征提取",
   "level": "l3"
  },
  "CAP_02557eef": {
   "en": "Semantic Topology Graph Convolution Reasoning",
   "zh": "语义拓扑图卷积推理",
   "level": "l3"
  },
  "CAP_6821130d": {
   "en": "Vision-based Place Recognition-driven Topological Mapping",
   "zh": "视觉位置识别驱动拓扑建图",
   "level": "l3"
  },
  "CAP_481e3dc8": {
   "en": "Foundation Model Semantic Feature Extraction and Topology Construction",
   "zh": "基础模型语义特征提取与拓扑建图",
   "level": "l2"
  },
  "CAP_30db7ccd": {
   "en": "Natural Language Semantic Grounding and Planning",
   "zh": "自然语言语义对接与规划",
   "level": "l2"
  },
  "CAP_97213b0e": {
   "en": "Language Query Object Localization and Navigation Target",
   "zh": "语言查询物体定位与导航目标选择",
   "level": "l3"
  },
  "CAP_c2fed51a": {
   "en": "Human-in-the-loop Semantic Map Editing",
   "zh": "人机交互语义拓扑地图编辑",
   "level": "l3"
  },
  "CAP_425bbd0e": {
   "en": "Spatial Relation Rule-Based Query",
   "zh": "基于规则的空间关系查询",
   "level": "l3"
  },
  "CAP_5b306180": {
   "en": "Scene-Graph-Mediated Symbolic Projection",
   "zh": "场景图中介符号投影",
   "level": "l2"
  },
  "CAP_ad1405b9": {
   "en": "Scene Graph Search Memory",
   "zh": "场景图搜索记忆",
   "level": "l3"
  },
  "CAP_5900b5bc": {
   "en": "Ontology Concept Formalization",
   "zh": "本体概念形式化",
   "level": "l3"
  },
  "CAP_96cd6438": {
   "en": "Scene Graph Predicate Extraction",
   "zh": "场景图谓词抽取",
   "level": "l3"
  },
  "CAP_4ec96539": {
   "en": "PDDL Goal Condition Assembly",
   "zh": "PDDL目标条件组装",
   "level": "l3"
  },
  "CAP_7689e127": {
   "en": "Range Image Point to Plane ICP",
   "zh": "Range Image 空间点到面 ICP",
   "level": "l3"
  },
  "CAP_b1f46298": {
   "en": "Obstacle Map Construction",
   "zh": "障碍图构建",
   "level": "l3"
  },
  "CAP_3c49ad9d": {
   "en": "经典语义拓扑航点图导航",
   "zh": "经典语义拓扑航点图导航",
   "level": "l2"
  },
  "CAP_6cd4753b": {
   "en": "语义航点节点图构建",
   "zh": "语义航点节点图构建",
   "level": "l3"
  },
  "CAP_92e2ab44": {
   "en": "拓扑节点度量邻近定位反馈",
   "zh": "拓扑节点度量邻近定位反馈",
   "level": "l3"
  },
  "CAP_7b084ae1": {
   "en": "分层开放词表场景图语义航点导航",
   "zh": "分层开放词表场景图语义航点导航",
   "level": "l2"
  },
  "CAP_e8b7ee72": {
   "en": "层次开放词表场景图构建",
   "zh": "层次开放词表场景图构建",
   "level": "l3"
  },
  "CAP_af8062c0": {
   "en": "层次化语言查询航点接地",
   "zh": "层次化语言查询航点接地",
   "level": "l3"
  },
  "CAP_a929b8bc": {
   "en": "跨楼层Voronoi航点路径执行",
   "zh": "跨楼层Voronoi航点路径执行",
   "level": "l3"
  },
  "CAP_486622c9": {
   "en": "Semi-Supervised Video Object Segmentation",
   "zh": "半监督视频物体分割",
   "level": "l2"
  },
  "CAP_f11f8278": {
   "en": "Online-Learning SVOS",
   "zh": "在线学习半监督视频分割",
   "level": "l2"
  },
  "CAP_e8a5baf7": {
   "en": "One-Shot First-Frame Fine-Tuning",
   "zh": "首帧一次性微调",
   "level": "l3"
  },
  "CAP_18f51b5f": {
   "en": "Online Adaptation Confidence Update",
   "zh": "在线自适应置信更新",
   "level": "l3"
  },
  "CAP_d551755d": {
   "en": "OSVOS Parent Model Loading",
   "zh": "OSVOS父模型加载",
   "level": "l3"
  },
  "CAP_ac7ba313": {
   "en": "DAVIS Semi-Supervised Evaluation",
   "zh": "DAVIS半监督评测",
   "level": "l3"
  },
  "CAP_cbe6b882": {
   "en": "Embedding-Matching SVOS",
   "zh": "嵌入匹配传播半监督视频分割",
   "level": "l2"
  },
  "CAP_1a6e4c8d": {
   "en": "Mask-VOS Video Decoding",
   "zh": "掩码VOS视频解码",
   "level": "l3"
  },
  "CAP_2d54782c": {
   "en": "CFBI Backbone Feature Extraction",
   "zh": "CFBI骨干特征提取",
   "level": "l3"
  },
  "CAP_bf206b33": {
   "en": "Pixel Embedding Global-Local Matching",
   "zh": "像素嵌入全局局部匹配",
   "level": "l3"
  },
  "CAP_fecb47fc": {
   "en": "Foreground-Background Collaborative Integration",
   "zh": "前景背景协同积分",
   "level": "l3"
  },
  "CAP_43f66247": {
   "en": "Collaborative Mask Propagation",
   "zh": "协同掩码传播",
   "level": "l3"
  },
  "CAP_2685be01": {
   "en": "SVOS Mask Sequence Output",
   "zh": "SVOS掩码序列输出",
   "level": "l3"
  },
  "CAP_a67cc9ae": {
   "en": "YouTube-VOS Evaluation",
   "zh": "YouTube-VOS评测",
   "level": "l3"
  },
  "CAP_44954641": {
   "en": "Mask Export and VOS Initialization",
   "zh": "掩码导出与VOS初始化",
   "level": "l3"
  },
  "CAP_16c68df1": {
   "en": "Instance-Level Attention Guidance",
   "zh": "实例级注意力引导",
   "level": "l3"
  },
  "CAP_0ffb486a": {
   "en": "Foundation-Model Promptable SVOS",
   "zh": "基础模型可提示半监督视频分割",
   "level": "l2"
  },
  "CAP_4ee853de": {
   "en": "First-Frame Mask Prompt Injection",
   "zh": "首帧掩码提示注入",
   "level": "l3"
  },
  "CAP_6051de7d": {
   "en": "Prompt-to-Mask Decoding",
   "zh": "提示驱动掩码解码",
   "level": "l3"
  },
  "CAP_da104d8d": {
   "en": "SVOS Masklet Output",
   "zh": "SVOS Masklet输出",
   "level": "l3"
  },
  "CAP_211a1962": {
   "en": "SA-V Multi-Benchmark Evaluation",
   "zh": "SA-V多基准评测",
   "level": "l3"
  },
  "CAP_593196a7": {
   "en": "Video Object Presence Prediction",
   "zh": "视频目标存在性预测",
   "level": "l3"
  },
  "CAP_34d7ba49": {
   "en": "Base Network Pretraining",
   "zh": "骨干网络预训练初始化",
   "level": "l3"
  },
  "CAP_827c2226": {
   "en": "Vendor SDK Driver Initialization",
   "zh": "厂商SDK驱动初始化",
   "level": "l2"
  },
  "CAP_39f08c2a": {
   "en": "SDK Device Discovery & Context Init",
   "zh": "SDK设备发现与上下文初始化",
   "level": "l3"
  },
  "CAP_eaaa899c": {
   "en": "Multi-Stream Configuration & Pipeline Launch",
   "zh": "多流配置与管道启动",
   "level": "l3"
  },
  "CAP_0e46f6b1": {
   "en": "SDK Data Acquisition & Publishing",
   "zh": "SDK数据采集与消息发布",
   "level": "l2"
  },
  "CAP_59b3cfaf": {
   "en": "SDK Frame Callback & Data Retrieval",
   "zh": "SDK帧回调注册与数据获取",
   "level": "l3"
  },
  "CAP_4ff37410": {
   "en": "SDK Frame to ROS2 Message Conversion",
   "zh": "SDK帧到ROS2消息转换",
   "level": "l3"
  },
  "CAP_070148a8": {
   "en": "Sensor Lifecycle & Post-Processing",
   "zh": "传感器生命周期与后处理",
   "level": "l2"
  },
  "CAP_7bb5d907": {
   "en": "Sensor LifecycleNode State Management",
   "zh": "传感器LifecycleNode状态管理",
   "level": "l3"
  },
  "CAP_c9fa449c": {
   "en": "Post-Processing Filter Chain Configuration",
   "zh": "后处理滤波器链配置",
   "level": "l3"
  },
  "CAP_24e26804": {
   "en": "Sensor Network Connection & Capture",
   "zh": "传感器网络连接与数据包捕获",
   "level": "l2"
  },
  "CAP_a1b02876": {
   "en": "Sensor Network Configuration",
   "zh": "传感器网络配置",
   "level": "l3"
  },
  "CAP_493124a3": {
   "en": "Network Packet Capture",
   "zh": "网络数据包捕获",
   "level": "l3"
  },
  "CAP_1a281514": {
   "en": "LiDAR Protocol Parsing & Assembly",
   "zh": "LiDAR协议解析与扫描组装",
   "level": "l2"
  },
  "CAP_6265629f": {
   "en": "LiDAR Packet Structure Parsing",
   "zh": "LiDAR数据包结构解析",
   "level": "l3"
  },
  "CAP_da5c8500": {
   "en": "LaserScan Azimuth Wrap & PointCloud Build",
   "zh": "LiDAR扫描组装与点云构建",
   "level": "l3"
  },
  "CAP_6e1b33d1": {
   "en": "Calibration & PointCloud Publishing",
   "zh": "标定加载与PointCloud发布",
   "level": "l2"
  },
  "CAP_65a1fb05": {
   "en": "LiDAR Calibration Loading",
   "zh": "LiDAR标定参数加载",
   "level": "l3"
  },
  "CAP_e60db688": {
   "en": "PointCloud2 Message Publishing",
   "zh": "PointCloud2消息发布",
   "level": "l3"
  },
  "CAP_9a63e1cc": {
   "en": "Serial Bus Configuration",
   "zh": "串口总线配置",
   "level": "l2"
  },
  "CAP_577233af": {
   "en": "Serial Port Configuration",
   "zh": "串口配置与连接",
   "level": "l3"
  },
  "CAP_2408e3a2": {
   "en": "Serial Frame Synchronization",
   "zh": "串口帧同步检测",
   "level": "l3"
  },
  "CAP_a4d01b8a": {
   "en": "Binary Protocol Parsing",
   "zh": "二进制协议解析",
   "level": "l2"
  },
  "CAP_176fee9b": {
   "en": "Binary Frame Parsing & CRC Validation",
   "zh": "二进制帧解析与CRC校验",
   "level": "l3"
  },
  "CAP_2d169764": {
   "en": "Sensor Data Extraction",
   "zh": "传感器数据提取",
   "level": "l3"
  },
  "CAP_ba161e3d": {
   "en": "High-Rate Publishing & Latency Compensation",
   "zh": "高频发布与延迟补偿",
   "level": "l2"
  },
  "CAP_7466fa97": {
   "en": "Serial Latency Timestamp Compensation",
   "zh": "串口延迟时间补偿",
   "level": "l3"
  },
  "CAP_6bef1380": {
   "en": "V4L2 Device Setup",
   "zh": "V4L2设备配置",
   "level": "l2"
  },
  "CAP_479e2f1e": {
   "en": "V4L2 Device Enumeration & Capability Query",
   "zh": "V4L2设备枚举与能力查询",
   "level": "l3"
  },
  "CAP_dc09473c": {
   "en": "V4L2 Format Configuration",
   "zh": "V4L2格式配置",
   "level": "l3"
  },
  "CAP_d1208442": {
   "en": "V4L2 Frame Capture",
   "zh": "V4L2帧采集与格式转换",
   "level": "l2"
  },
  "CAP_fc6c14e9": {
   "en": "V4L2 Buffer Management & Frame Grabbing",
   "zh": "V4L2缓冲区管理与帧采集",
   "level": "l3"
  },
  "CAP_2eaa3666": {
   "en": "Pixel Format Conversion",
   "zh": "像素格式转换",
   "level": "l3"
  },
  "CAP_f3664f2d": {
   "en": "Camera Info & Image Transport",
   "zh": "CameraInfo标定发布与图像传输",
   "level": "l2"
  },
  "CAP_a86ac2cb": {
   "en": "CameraInfo Calibration Publishing",
   "zh": "CameraInfo标定发布",
   "level": "l3"
  },
  "CAP_1d6bd0d3": {
   "en": "Spectral Dispersion Chromatic Aberration",
   "zh": "光谱色散色差",
   "level": "l3"
  },
  "CAP_1e79c962": {
   "en": "Camera Sensor Real2Sim Fidelity Calibration",
   "zh": "相机传感器Real2Sim保真度标定",
   "level": "l2"
  },
  "CAP_bf9b0d3d": {
   "en": "EMVA 1288 Noise Parameter Extraction",
   "zh": "EMVA 1288噪声参数提取",
   "level": "l3"
  },
  "CAP_16cd48b8": {
   "en": "Photometric Response Calibration Parameter Extraction",
   "zh": "光度响应标定参数提取",
   "level": "l3"
  },
  "CAP_81c3c5c9": {
   "en": "Real-Sim Image Distribution Comparison",
   "zh": "真实-仿真图像分布对比",
   "level": "l3"
  },
  "CAP_58b937f1": {
   "en": "GNSS RF Signal-Level Interference Simulation",
   "zh": "GNSS 射频信号级干扰仿真",
   "level": "l2"
  },
  "CAP_26c0565a": {
   "en": "RF Jamming and Spoofing Interference Injection",
   "zh": "射频压制与欺骗干扰注入",
   "level": "l3"
  },
  "CAP_9ec89364": {
   "en": "Interference-Resilient Acquisition and Tracking",
   "zh": "抗干扰采集与跟踪",
   "level": "l3"
  },
  "CAP_b2dc6b9a": {
   "en": "Sensor Structure and Field Probe Placement",
   "zh": "传感器结构与场探针布置",
   "level": "l3"
  },
  "CAP_308be909": {
   "en": "EM-Induced Sensor Degradation Model Parameterization",
   "zh": "EM 诱导传感器退化模型参数化",
   "level": "l3"
  },
  "CAP_2c46585b": {
   "en": "Sensor Output-Level EM Degradation Behavioral Modeling",
   "zh": "传感器输出级 EM 退化行为建模",
   "level": "l2"
  },
  "CAP_88110efb": {
   "en": "EM Interference Scenario Definition",
   "zh": "电磁干扰场景定义",
   "level": "l3"
  },
  "CAP_bfe141af": {
   "en": "Degradation Model Calibration",
   "zh": "退化模型标定",
   "level": "l3"
  },
  "CAP_9848ba97": {
   "en": "Sensor Fusion Robustness Assessment",
   "zh": "传感器融合鲁棒性评估",
   "level": "l3"
  },
  "CAP_01888b61": {
   "en": "Parity Space Projection",
   "zh": "奇偶空间投影",
   "level": "l3"
  },
  "CAP_3cc9c9a5": {
   "en": "Parity Vector Fault Identification",
   "zh": "奇偶矢量故障识别",
   "level": "l3"
  },
  "CAP_002abca3": {
   "en": "Fault Measurement Exclusion",
   "zh": "故障测量排除",
   "level": "l3"
  },
  "CAP_9f2db239": {
   "en": "Variance and Stuck Detection",
   "zh": "方差与卡死检测",
   "level": "l3"
  },
  "CAP_dd9d7cfe": {
   "en": "Outlier and Data Loss Detection",
   "zh": "离群值与数据丢失检测",
   "level": "l3"
  },
  "CAP_0526995b": {
   "en": "Observer and Filter Design",
   "zh": "观测器与滤波器设计",
   "level": "l3"
  },
  "CAP_452307e7": {
   "en": "Allan Deviation Curve Overlay Comparison",
   "zh": "Allan 偏差曲线叠加对比",
   "level": "l3"
  },
  "CAP_75c85faf": {
   "en": "Sensor Fidelity Gap Quantification And Acceptance Gating",
   "zh": "传感器保真度差距量化与验收门控",
   "level": "l3"
  },
  "CAP_a6fd4d62": {
   "en": "Fidelity-Transfer Correlation Analysis",
   "zh": "保真度-迁移相关性分析",
   "level": "l3"
  },
  "CAP_de2ab8be": {
   "en": "LiDAR Sensor Fidelity Simulation",
   "zh": "激光雷达传感器保真度仿真",
   "level": "l2"
  },
  "CAP_da1c971a": {
   "en": "Real-Sim Point Cloud Fidelity Verification",
   "zh": "真实-仿真点云保真度验证",
   "level": "l3"
  },
  "CAP_13305cd2": {
   "en": "LiDAR Dropout Injection",
   "zh": "LiDAR 丢点注入",
   "level": "l3"
  },
  "CAP_15848cb1": {
   "en": "LiDAR Scan Pattern Configuration",
   "zh": "LiDAR 扫描模式配置",
   "level": "l3"
  },
  "CAP_7aa14259": {
   "en": "LiDAR Intensity and Dropoff Calculation",
   "zh": "LiDAR 强度与丢点计算",
   "level": "l3"
  },
  "CAP_e7c531e3": {
   "en": "EMVA 1288 Dark Frame And Flat Field Acquisition",
   "zh": "EMVA 1288暗帧与平场帧采集",
   "level": "l3"
  },
  "CAP_73e49bef": {
   "en": "Camera Fidelity Gap Analysis And Parameter Refinement",
   "zh": "相机保真度差距分析与参数优化",
   "level": "l3"
  },
  "CAP_c6f540cf": {
   "en": "Tactile Sensor Fidelity Benchmark and Sim2Real Transfer Validation",
   "zh": "触觉传感器保真度基准与Sim2Real迁移验证",
   "level": "l2"
  },
  "CAP_ec15d3b6": {
   "en": "TACTO PyRender Black-box Tactile Simulation",
   "zh": "TACTO PyRender 黑盒渲染型触觉仿真",
   "level": "l3"
  },
  "CAP_900c0b59": {
   "en": "FOTS Calibrated MLP Marker Flow Tactile Simulation",
   "zh": "FOTS 标定映射型触觉仿真",
   "level": "l3"
  },
  "CAP_f98d5505": {
   "en": "Tacchi MPM Elastomer Deformation Tactile Simulation",
   "zh": "Tacchi MPM 弹性体形变触觉仿真",
   "level": "l3"
  },
  "CAP_43310374": {
   "en": "Sim-Real Tactile Image Distribution Gap Measurement",
   "zh": "仿真-真实触觉图像分布差异度量",
   "level": "l3"
  },
  "CAP_abad05ee": {
   "en": "Tactile Simulator Fidelity Ranking and Task-Appropriate Paradigm Selection",
   "zh": "触觉仿真器保真度排名与范式选择",
   "level": "l3"
  },
  "CAP_24737066": {
   "en": "RealIMUDataAcquisition",
   "zh": "真实IMU数据采集",
   "level": "l3"
  },
  "CAP_22f0ef10": {
   "en": "Sensor Dimension Configuration",
   "zh": "传感器维度配置与微分更新",
   "level": "l3"
  },
  "CAP_b65cdc0f": {
   "en": "Four DOF Pose Graph Optimization",
   "zh": "四自由度位姿图优化",
   "level": "l3"
  },
  "CAP_6bdf3a07": {
   "en": "ROS2 Sensor Driver Abstraction",
   "zh": "ROS2传感器驱动抽象",
   "level": "l2"
  },
  "CAP_073bd0d9": {
   "en": "Raw Sensor Data Conversion",
   "zh": "原始传感器数据转换",
   "level": "l3"
  },
  "CAP_af5b380b": {
   "en": "Sensor Message Type Definition",
   "zh": "传感器消息类型定义",
   "level": "l3"
  },
  "CAP_938dcb7e": {
   "en": "DriveWorks SAL Sensor Management",
   "zh": "DriveWorks SAL传感器管理",
   "level": "l2"
  },
  "CAP_9bf2b193": {
   "en": "SAL Sensor Lifecycle Management",
   "zh": "SAL传感器生命周期管理",
   "level": "l3"
  },
  "CAP_9bb450b7": {
   "en": "Linux IIO Sensor Framework",
   "zh": "Linux IIO传感器框架",
   "level": "l2"
  },
  "CAP_968b7a50": {
   "en": "IIO Device Registration",
   "zh": "IIO设备注册",
   "level": "l3"
  },
  "CAP_2473fede": {
   "en": "IIO Channel Specification",
   "zh": "IIO通道描述",
   "level": "l3"
  },
  "CAP_dc447d52": {
   "en": "IIO Triggered Buffer",
   "zh": "IIO触发缓冲",
   "level": "l3"
  },
  "CAP_0e56ecf9": {
   "en": "Sensor Hardware-in-the-Loop",
   "zh": "传感器硬件在环",
   "level": "l2"
  },
  "CAP_738f5048": {
   "en": "Radar Driving Scenario Definition",
   "zh": "雷达驾驶场景定义",
   "level": "l3"
  },
  "CAP_608a178d": {
   "en": "Radar Echo Parameter Configuration",
   "zh": "雷达回波参数配置",
   "level": "l3"
  },
  "CAP_e8adea71": {
   "en": "Radar Echo Synthesis and OTA Injection",
   "zh": "雷达回波合成与空口注入",
   "level": "l3"
  },
  "CAP_e443da3f": {
   "en": "Radar HIL Detection Performance Assessment",
   "zh": "雷达 HIL 探测性能评估",
   "level": "l3"
  },
  "CAP_fcbca85f": {
   "en": "Camera Dark Box Display Projection",
   "zh": "相机暗箱显示器投射",
   "level": "l3"
  },
  "CAP_b68eebe8": {
   "en": "Camera Real Sensor Optical Stimulation",
   "zh": "相机真实传感器光学激励",
   "level": "l3"
  },
  "CAP_5dfbd8b0": {
   "en": "Camera HIL Imaging Quality Assessment",
   "zh": "相机 HIL 成像质量评估",
   "level": "l3"
  },
  "CAP_9c9c1d6e": {
   "en": "Attitude Trajectory Definition",
   "zh": "姿态轨迹定义",
   "level": "l3"
  },
  "CAP_99be1749": {
   "en": "Turntable Motion Command Generation",
   "zh": "转台运动指令生成",
   "level": "l3"
  },
  "CAP_3837c2f2": {
   "en": "Turntable Physical Motion Stimulation",
   "zh": "转台物理运动激励",
   "level": "l3"
  },
  "CAP_7faa763a": {
   "en": "IMU HIL Inertial Accuracy Assessment",
   "zh": "IMU HIL 惯性精度评估",
   "level": "l3"
  },
  "CAP_5d2c57dd": {
   "en": "LiDAR Noise Modeling Pipeline",
   "zh": "激光雷达噪声建模管线",
   "level": "l2"
  },
  "CAP_9bac814f": {
   "en": "IMU Noise Model Discretization",
   "zh": "IMU噪声模型离散化",
   "level": "l3"
  },
  "CAP_9fabb2c7": {
   "en": "LiDAR Fog Scattering Modeling",
   "zh": "激光雷达雾天散射建模",
   "level": "l3"
  },
  "CAP_b17741e4": {
   "en": "LiDAR Snow Occlusion Modeling",
   "zh": "激光雷达雪天遮挡建模",
   "level": "l3"
  },
  "CAP_5f01887a": {
   "en": "LiDAR Range And Intensity Noise Injection",
   "zh": "激光雷达距离与强度噪声注入",
   "level": "l3"
  },
  "CAP_5e531b2d": {
   "en": "FEM Tactile Sensor Model Loading",
   "zh": "FEM 触觉传感器软体模型加载",
   "level": "l3"
  },
  "CAP_d35b4d6a": {
   "en": "Taccel GPU FEM Simulator Setup",
   "zh": "Taccel GPU FEM仿真器配置",
   "level": "l3"
  },
  "CAP_b71e60a8": {
   "en": "DiffTactile Simulation Configuration",
   "zh": "DiffTactile 可微触觉仿真配置",
   "level": "l3"
  },
  "CAP_6520d674": {
   "en": "Standardized Real Tactile Reference Data Acquisition",
   "zh": "标准化真实触觉参考数据采集",
   "level": "l3"
  },
  "CAP_b119d0c0": {
   "en": "Real Sensor Calibration Data Collection",
   "zh": "真实传感器标定数据采集",
   "level": "l3"
  },
  "CAP_b6efabd5": {
   "en": "Tactile Skin Sim-to-Real Model",
   "zh": "触觉皮肤 sim-to-real 模型",
   "level": "l3"
  },
  "CAP_bf2c80ed": {
   "en": "Proprioceptive Sensor Noise Model Parameterization",
   "zh": "本体感觉传感器噪声模型参数化",
   "level": "l2"
  },
  "CAP_9775bd2e": {
   "en": "Proprioceptive Noise DR Training",
   "zh": "本体感觉噪声DR训练",
   "level": "l2"
  },
  "CAP_a3a5110d": {
   "en": "Observation Noise Additive Randomization",
   "zh": "观测噪声叠加随机化",
   "level": "l3"
  },
  "CAP_ff4df0f1": {
   "en": "Proprioceptive Noise DR Policy Training",
   "zh": "本体感觉噪声DR策略训练",
   "level": "l3"
  },
  "CAP_84773a07": {
   "en": "Camera Sensor Noise Randomization",
   "zh": "相机传感器噪声随机化",
   "level": "l2"
  },
  "CAP_0394df74": {
   "en": "Camera Noise DR Policy Training",
   "zh": "相机噪声DR策略训练",
   "level": "l2"
  },
  "CAP_b4f09691": {
   "en": "Camera Noise Robustness Evaluation",
   "zh": "相机噪声鲁棒性评测",
   "level": "l3"
  },
  "CAP_1b194c28": {
   "en": "LiDAR Sensor Noise Randomization",
   "zh": "LiDAR传感器噪声随机化",
   "level": "l2"
  },
  "CAP_e548e3cb": {
   "en": "LiDAR Range Noise and Ray-Drop Injection",
   "zh": "LiDAR测距噪声与点丢失注入",
   "level": "l3"
  },
  "CAP_276822c9": {
   "en": "LiDAR Weather Noise Simulation",
   "zh": "LiDAR天气噪声仿真",
   "level": "l3"
  },
  "CAP_2b64452c": {
   "en": "LiDAR Noise DR Training and Evaluation",
   "zh": "LiDAR噪声DR训练与评测",
   "level": "l2"
  },
  "CAP_64e3e069": {
   "en": "LiDAR Noise DR Perception Training",
   "zh": "LiDAR噪声DR感知训练",
   "level": "l3"
  },
  "CAP_9026d4cc": {
   "en": "Weather Noise Identification",
   "zh": "天气噪声识别",
   "level": "l3"
  },
  "CAP_93a41c87": {
   "en": "3D Shadow based Ghost Detection",
   "zh": "3D阴影法ghost检测",
   "level": "l3"
  },
  "CAP_f092a8d5": {
   "en": "3D Shadow based Object Hiding Detection",
   "zh": "3D阴影法hiding检测",
   "level": "l3"
  },
  "CAP_e79063b5": {
   "en": "Temporal Consistency Spoofing Detection",
   "zh": "时序一致性欺骗检测",
   "level": "l3"
  },
  "CAP_67f22426": {
   "en": "INS Cross-validation Spoofing Detection",
   "zh": "INS交叉验证欺骗检测",
   "level": "l3"
  },
  "CAP_6a904fcb": {
   "en": "SIC-based Spoofing Signal Cancellation",
   "zh": "SIC欺骗信号消除与恢复",
   "level": "l3"
  },
  "CAP_18c12b46": {
   "en": "Cross-modal Sensor Fusion Consistency Verification",
   "zh": "跨模态传感器融合一致性检测",
   "level": "l2"
  },
  "CAP_54734a44": {
   "en": "Camera-LiDAR Cross-modal Verification",
   "zh": "相机-LiDAR跨模态验证",
   "level": "l3"
  },
  "CAP_b0204c08": {
   "en": "V2X Cooperative Perception Redundancy",
   "zh": "V2X协同感知冗余检测",
   "level": "l3"
  },
  "CAP_174d42e2": {
   "en": "Cross-modal Spoofing Alert and Control",
   "zh": "跨模态告警融合与安全控制",
   "level": "l3"
  },
  "CAP_f1a2b3c7": {
   "en": "Hardware Trigger Signal Fanout",
   "zh": "硬件触发信号分发",
   "level": "l3"
  },
  "CAP_f1a2b3c9": {
   "en": "Trigger Consistency Monitoring",
   "zh": "触发一致性监控",
   "level": "l3"
  },
  "CAP_d2b3c4d6": {
   "en": "Exact and Approximate Time Sync",
   "zh": "精确时间与近似时间同步策略",
   "level": "l3"
  },
  "CAP_d2b3c4d7": {
   "en": "Message Cache and Queue Management",
   "zh": "消息缓存与队列管理",
   "level": "l3"
  },
  "CAP_e3c4d5e6": {
   "en": "WSN Time Synchronization Protocol",
   "zh": "无线传感器网络时间同步协议",
   "level": "l2"
  },
  "CAP_e3c4d5e7": {
   "en": "TPSN FTSP RBS Timestamp Exchange",
   "zh": "TPSN/FTSP/RBS 时间戳交换",
   "level": "l3"
  },
  "CAP_e3c4d5e8": {
   "en": "Clock Offset and Drift Computation",
   "zh": "时钟偏移与漂移计算",
   "level": "l3"
  },
  "CAP_e3c4d5e9": {
   "en": "Clock Adjustment and Multi-Hop Sync Propagation",
   "zh": "时钟调整与多跳同步传播",
   "level": "l3"
  },
  "CAP_f7a3e2b1": {
   "en": "Synchronized Message Tuple Dispatch",
   "zh": "同步消息元组分发",
   "level": "l3"
  },
  "CAP_d4c2a2f8": {
   "en": "Continuous-Time B-Spline Trajectory Modeling",
   "zh": "连续时间B样条轨迹建模",
   "level": "l3"
  },
  "CAP_c4d9e8a7": {
   "en": "Feature Velocity Computation",
   "zh": "特征速度计算",
   "level": "l3"
  },
  "CAP_b5e1f3d2": {
   "en": "Iterative Time Offset Compensation",
   "zh": "迭代时间偏移补偿",
   "level": "l3"
  },
  "CAP_4a1b2c3d": {
   "en": "Per-Point Backward Propagation Deskew",
   "zh": "逐点反向传播运动去畸变",
   "level": "l3"
  },
  "CAP_ff2820b5": {
   "en": "ROS Message Filter Subscriber Setup",
   "zh": "ROS消息过滤器订阅器设置",
   "level": "l3"
  },
  "CAP_f909410b": {
   "en": "Lowest-Cost Arbitration",
   "zh": "最低代价仲裁",
   "level": "l3"
  },
  "CAP_9a0d4637": {
   "en": "Multi-Task Route Builder",
   "zh": "多任务路径构建器",
   "level": "l3"
  },
  "CAP_4ba8347a": {
   "en": "Temporal-Constrained Bid Calculation",
   "zh": "时序约束出价计算",
   "level": "l3"
  },
  "CAP_25d793f3": {
   "en": "Classical MDP Dynamic Programming",
   "zh": "经典 MDP 动态规划符号求解",
   "level": "l2"
  },
  "CAP_18545564": {
   "en": "MDP State Space Discretization",
   "zh": "MDP 状态空间离散化",
   "level": "l3"
  },
  "CAP_7eb1196d": {
   "en": "Bellman Optimality Equation Iteration",
   "zh": "贝尔曼最优方程迭代",
   "level": "l2"
  },
  "CAP_f70a01c5": {
   "en": "Offline Value Iteration Lookup Table Generation",
   "zh": "离线值迭代查表生成",
   "level": "l3"
  },
  "CAP_0afdb09c": {
   "en": "Finite Horizon Backward Induction",
   "zh": "有限时域向后归纳",
   "level": "l3"
  },
  "CAP_538b3712": {
   "en": "MCTS Online Forward Search Planning",
   "zh": "MCTS 在线前向搜索规划",
   "level": "l2"
  },
  "CAP_11b9740e": {
   "en": "Root State Embedding for MCTS",
   "zh": "MCTS 根状态嵌入",
   "level": "l3"
  },
  "CAP_8f2e7600": {
   "en": "MuZero Learned Model MCTS Planning",
   "zh": "MuZero 学习模型 MCTS 规划",
   "level": "l3"
  },
  "CAP_214b2120": {
   "en": "Gumbel MuZero Policy Improvement",
   "zh": "Gumbel MuZero 策略改进",
   "level": "l3"
  },
  "CAP_e68ff71a": {
   "en": "MCTS Action Selection from Visit Counts",
   "zh": "MCTS 访问计数动作选择",
   "level": "l3"
  },
  "CAP_adc612f1": {
   "en": "Multitask World Model TOLD",
   "zh": "多任务 TOLD 世界模型",
   "level": "l3"
  },
  "CAP_516be5a3": {
   "en": "Return-to-Go Sequence Construction",
   "zh": "Return-to-Go 序列构建",
   "level": "l3"
  },
  "CAP_914d3eb4": {
   "en": "RTG-Conditioned Sequence Prediction",
   "zh": "RTG 条件序列预测",
   "level": "l3"
  },
  "CAP_909231ec": {
   "en": "Trajectory Beam Search Inference",
   "zh": "轨迹 beam search 推理",
   "level": "l3"
  },
  "CAP_214e3c58": {
   "en": "2D Contact Constraint Jacobian And Effective Mass",
   "zh": "二维接触约束 Jacobian 与有效质量计算",
   "level": "l3"
  },
  "CAP_a952f671": {
   "en": "Soft Step Progressive Position Correction",
   "zh": "Soft Step 渐进式位置修正",
   "level": "l3"
  },
  "CAP_a5c1aaee": {
   "en": "Island Based Sleep Commit",
   "zh": "基于岛的 sleep 提交",
   "level": "l3"
  },
  "CAP_dfed49c8": {
   "en": "Bullet Solver Body Init",
   "zh": "Bullet 求解器刚体初始化",
   "level": "l3"
  },
  "CAP_cb6ffde5": {
   "en": "PhysX Solver Body Setup",
   "zh": "PhysX 求解器刚体设置",
   "level": "l3"
  },
  "CAP_87073023": {
   "en": "Articulation Reduced Coordinate Setup",
   "zh": "铰接体降维坐标设置",
   "level": "l3"
  },
  "CAP_25bf24ab": {
   "en": "TGS Velocity Iteration With Temporal Jacobian",
   "zh": "TGS 速度迭代与时序雅可比更新",
   "level": "l3"
  },
  "CAP_76369ebf": {
   "en": "TGS Position Iteration",
   "zh": "TGS 位置迭代修正",
   "level": "l3"
  },
  "CAP_dbf31e83": {
   "en": "Adaptive Stream Sample Reuse",
   "zh": "流式采样经验自适应复用",
   "level": "l3"
  },
  "CAP_9a53566f": {
   "en": "PDDLStream Sampler Integration",
   "zh": "PDDLStream采样器集成",
   "level": "l2"
  },
  "CAP_fe3fed18": {
   "en": "PyBullet Plan Sequence Execution",
   "zh": "PyBullet 规划序列执行",
   "level": "l3"
  },
  "CAP_b5523240": {
   "en": "PyBullet Simulation Scene Load",
   "zh": "PyBullet 仿真场景加载",
   "level": "l3"
  },
  "CAP_8038d11d": {
   "en": "Assembly Sequence Optimization",
   "zh": "装配序列优化",
   "level": "l3"
  },
  "CAP_ce9a9a59": {
   "en": "PDDLStream Stream Declaration",
   "zh": "PDDLStream流声明",
   "level": "l3"
  },
  "CAP_a1551c4f": {
   "en": "Sequential Pick and Place",
   "zh": "序列式抓放",
   "level": "l2"
  },
  "CAP_13a864c7": {
   "en": "Pick-Place Action Primitive",
   "zh": "抓放动作原语",
   "level": "l3"
  },
  "CAP_2e03ae5b": {
   "en": "Closed-Loop Pick-Place Task Completion Check",
   "zh": "闭环抓放任务完成判断",
   "level": "l3"
  },
  "CAP_4eb2f899": {
   "en": "Pick-Place Position Pair Collection",
   "zh": "抓放位置对采集",
   "level": "l3"
  },
  "CAP_b936181f": {
   "en": "Multi-Object Pick-Place TSP Formulation",
   "zh": "多目标抓放 TSP 建模",
   "level": "l3"
  },
  "CAP_df442133": {
   "en": "Optimized Pick-Place Trajectory Generation",
   "zh": "优化序列轨迹生成",
   "level": "l3"
  },
  "CAP_abbd557f": {
   "en": "Construction Guided Local Search Metaheuristic TSP",
   "zh": "构造+引导局部搜索元启发式 TSP",
   "level": "l3"
  },
  "CAP_b52aef94": {
   "en": "Transporter Networks Learning-Based Pick-and-Place",
   "zh": "Transporter Networks 学习型序列化重排",
   "level": "l2"
  },
  "CAP_235799cf": {
   "en": "Transporter Spatial Stream with Lateral Fusion",
   "zh": "Transporter 空间通路（侧向融合）",
   "level": "l3"
  },
  "CAP_4bffc1d7": {
   "en": "Spatially Consistent Representation",
   "zh": "空间一致表示构建",
   "level": "l3"
  },
  "CAP_ac18c5e8": {
   "en": "ParseObjectConfigurations",
   "zh": "解析物体配置",
   "level": "l3"
  },
  "CAP_44f2080d": {
   "en": "ROS2 Service Communication",
   "zh": "ROS2服务通信",
   "level": "l2"
  },
  "CAP_13caf784": {
   "en": "ROS2 Service Request-Response Interface",
   "zh": "ROS2服务请求响应接口",
   "level": "l3"
  },
  "CAP_0fd8f2dd": {
   "en": "ROS2 Service Client Async Call",
   "zh": "ROS2服务客户端异步调用",
   "level": "l3"
  },
  "CAP_d895379e": {
   "en": "Production Action Goal Preemption",
   "zh": "生产级动作目标抢占",
   "level": "l3"
  },
  "CAP_bf2cbf84": {
   "en": "KV Service Registration",
   "zh": "KV存储型服务注册",
   "level": "l2"
  },
  "CAP_6e1f9257": {
   "en": "Lease Based Registration Management",
   "zh": "基于租约的注册管理",
   "level": "l3"
  },
  "CAP_76738440": {
   "en": "Service Watch and Notification",
   "zh": "服务监听与变更通知",
   "level": "l3"
  },
  "CAP_dc5947d3": {
   "en": "gRPC Name Resolution",
   "zh": "gRPC名称解析",
   "level": "l3"
  },
  "CAP_d446a6b6": {
   "en": "ROS1 Master Service Registration",
   "zh": "ROS1 Master服务注册",
   "level": "l2"
  },
  "CAP_b6a23b20": {
   "en": "XML-RPC Topic Service Lookup",
   "zh": "XML-RPC话题服务查询",
   "level": "l3"
  },
  "CAP_22d978aa": {
   "en": "Publisher Update Notification",
   "zh": "发布者更新通知",
   "level": "l3"
  },
  "CAP_ef0806d7": {
   "en": "RequestTopic Protocol Negotiation",
   "zh": "RequestTopic协议协商",
   "level": "l3"
  },
  "CAP_d137fbad": {
   "en": "Discovery Server Role Management",
   "zh": "发现服务器角色管理",
   "level": "l3"
  },
  "CAP_7227bb29": {
   "en": "Participant Matching and Description Exchange",
   "zh": "Participant匹配与描述交换",
   "level": "l3"
  },
  "CAP_9cce2a55": {
   "en": "Multi-Source Registry Aggregation",
   "zh": "多源注册表聚合",
   "level": "l2"
  },
  "CAP_d326a08a": {
   "en": "xDS Configuration Push",
   "zh": "xDS配置下发",
   "level": "l3"
  },
  "CAP_51a39c55": {
   "en": "ServiceEntry External Service Registration",
   "zh": "ServiceEntry外部服务注册",
   "level": "l3"
  },
  "CAP_bd55f7fb": {
   "en": "Semantic Service Capability Registration",
   "zh": "语义服务能力注册",
   "level": "l2"
  },
  "CAP_19d8822d": {
   "en": "ServiceRegistryWrite",
   "zh": "服务注册表写入",
   "level": "l3"
  },
  "CAP_8529d765": {
   "en": "ROS2 DDS Type Hash Version Discovery",
   "zh": "ROS2 DDS 类型哈希版本发现",
   "level": "l2"
  },
  "CAP_2550de09": {
   "en": "ROS2 Interface Type Hash Generation",
   "zh": "ROS2 接口类型哈希生成",
   "level": "l3"
  },
  "CAP_f8877e46": {
   "en": "Node Type Description Query Service",
   "zh": "节点类型描述查询服务",
   "level": "l3"
  },
  "CAP_59a4ff5d": {
   "en": "DDS XTypes Type Assignability Matching",
   "zh": "DDS XTypes 类型可赋值性匹配",
   "level": "l3"
  },
  "CAP_7bdf2288": {
   "en": "Bag Replay Type Hash Verification",
   "zh": "录制回放类型哈希校验",
   "level": "l3"
  },
  "CAP_583446db": {
   "en": "Service Mesh Subset Version Routing",
   "zh": "服务网格版本子集路由",
   "level": "l2"
  },
  "CAP_d171f06f": {
   "en": "Version Subset Definition",
   "zh": "版本子集定义",
   "level": "l3"
  },
  "CAP_244c3457": {
   "en": "Version Endpoint Dynamic Distribution",
   "zh": "版本端点动态下发",
   "level": "l3"
  },
  "CAP_0f4dc5bd": {
   "en": "gRPC Reflection Version Discovery",
   "zh": "gRPC 反射版本发现",
   "level": "l2"
  },
  "CAP_35b40d12": {
   "en": "gRPC Reflection Service Registration",
   "zh": "gRPC 反射服务注册",
   "level": "l3"
  },
  "CAP_7067e59f": {
   "en": "Service Descriptor Reflection Query",
   "zh": "服务描述符反射查询",
   "level": "l3"
  },
  "CAP_9ac25751": {
   "en": "A2A Agent Card Version Discovery",
   "zh": "A2A Agent Card 版本发现",
   "level": "l2"
  },
  "CAP_82e536d1": {
   "en": "Agent Card Protocol Version Compatibility Check",
   "zh": "Agent Card 协议版本兼容校验",
   "level": "l3"
  },
  "CAP_ac2d4db0": {
   "en": "Atlas Active Non-Active Map Set Management",
   "zh": "Atlas 主动与非主动子图集合管理",
   "level": "l3"
  },
  "CAP_04b3f168": {
   "en": "Atlas Merge Trigger & Relative Pose Estimation",
   "zh": "Atlas 合并触发与相对位姿估计",
   "level": "l3"
  },
  "CAP_7f534398": {
   "en": "Atlas File Snapshot Persistence",
   "zh": "Atlas 文件快照持久化",
   "level": "l3"
  },
  "CAP_65b42d4d": {
   "en": "OSM Element Version Tracking",
   "zh": "OSM 元素版本追踪",
   "level": "l3"
  },
  "CAP_7537240f": {
   "en": "Map Diff & Changeset Derivation",
   "zh": "地图差分与变更集生成",
   "level": "l3"
  },
  "CAP_be0c5c13": {
   "en": "Changeset Application & Version Rollout",
   "zh": "变更集应用与版本滚动",
   "level": "l3"
  },
  "CAP_975ce8be": {
   "en": "OIDC Authorization Code Issuance with PKCE",
   "zh": "PKCE 授权码签发",
   "level": "l3"
  },
  "CAP_d7d8791f": {
   "en": "OIDC User Session Establishment",
   "zh": "OIDC 用户会话建立",
   "level": "l3"
  },
  "CAP_d18b96f3": {
   "en": "Refresh Token Rotation with Reuse Detection",
   "zh": "刷新令牌轮换与重用检测",
   "level": "l3"
  },
  "CAP_eaa2021c": {
   "en": "OIDC Back-Channel Logout Propagation",
   "zh": "OIDC 后向注销传播",
   "level": "l3"
  },
  "CAP_a22858fc": {
   "en": "DPoP Proof JWT Generation",
   "zh": "DPoP 证明 JWT 生成",
   "level": "l3"
  },
  "CAP_c595049a": {
   "en": "Sender-Constrained Token Issuance",
   "zh": "发送方约束令牌签发",
   "level": "l3"
  },
  "CAP_aa0749b4": {
   "en": "DPoP Proof Verification",
   "zh": "DPoP 证明验证",
   "level": "l3"
  },
  "CAP_6ec87d09": {
   "en": "Sender-Constrained Token Refresh",
   "zh": "发送方约束令牌刷新",
   "level": "l3"
  },
  "CAP_fde8cfb0": {
   "en": "mTLS Certificate-Bound Token",
   "zh": "mTLS 证书绑定令牌",
   "level": "l3"
  },
  "CAP_f08192b3": {
   "en": "DPoP Nonce Management",
   "zh": "DPoP Nonce 管理",
   "level": "l3"
  },
  "CAP_b5617898": {
   "en": "JWT Access Token Issuance with JWKS",
   "zh": "JWT 令牌签发与 JWKS 发布",
   "level": "l3"
  },
  "CAP_48e50982": {
   "en": "JWKS Client-Side Key Fetch",
   "zh": "JWKS 客户端公钥获取",
   "level": "l3"
  },
  "CAP_8ef32d2f": {
   "en": "Stateless JWT Verification with Blacklist Check",
   "zh": "无状态 JWT 验签与黑名单查询",
   "level": "l3"
  },
  "CAP_5e6c4626": {
   "en": "Distributed Revocation List Write",
   "zh": "分布式撤销列表写入",
   "level": "l3"
  },
  "CAP_25d0303b": {
   "en": "Revocation List Propagation via Pub-Sub",
   "zh": "撤销列表 Pub-Sub 传播",
   "level": "l3"
  },
  "CAP_219c16dd": {
   "en": "Session-Level Cascade Revocation",
   "zh": "会话级联撤销",
   "level": "l3"
  },
  "CAP_721dfcbe": {
   "en": "Prior 3D Map Loading for Relocalization",
   "zh": "重定位先验3D地图加载",
   "level": "l3"
  },
  "CAP_92fff42c": {
   "en": "Inter-Session 2D-3D Correspondence Establishment",
   "zh": "跨时段2D-3D对应建立",
   "level": "l3"
  },
  "CAP_8328db50": {
   "en": "ORB-SLAM3 Atlas Relocalization Source Map Decision",
   "zh": "Atlas重定位来源地图判定",
   "level": "l3"
  },
  "CAP_fa2ec4cd": {
   "en": "Prior Pose Graph Loading for Inter-Session Alignment",
   "zh": "跨时段对齐先验位姿图加载",
   "level": "l3"
  },
  "CAP_1a4782ff": {
   "en": "Inter-Session Trajectory Alignment Output",
   "zh": "跨时段轨迹对齐输出",
   "level": "l3"
  },
  "CAP_2cf7cc82": {
   "en": "Session Map Merge Trigger",
   "zh": "时段地图合并触发",
   "level": "l3"
  },
  "CAP_a9598059": {
   "en": "Anchor Node Insertion with Relative Constraint",
   "zh": "锚节点插入与相对约束",
   "level": "l3"
  },
  "CAP_3a36a5e2": {
   "en": "Whole-Body Shape Inverse Control",
   "zh": "全身形状逆解控制",
   "level": "l2"
  },
  "CAP_83f79783": {
   "en": "Target Shape Field Generation",
   "zh": "目标形状场生成",
   "level": "l3"
  },
  "CAP_7f307ad4": {
   "en": "Whole-Body Shape Error Metric",
   "zh": "全身形状误差度量",
   "level": "l3"
  },
  "CAP_d4faceeb": {
   "en": "Multi-Segment Actuator Inverse Coordination",
   "zh": "多段驱动逆解协调",
   "level": "l3"
  },
  "CAP_492dcc65": {
   "en": "Continuum Robot Shape Sensing",
   "zh": "连续体机器人形状感知",
   "level": "l3"
  },
  "CAP_041876cd": {
   "en": "Reduced-Order Shape Control",
   "zh": "降阶形状控制",
   "level": "l2"
  },
  "CAP_f3825af6": {
   "en": "Shape Snapshot Collection",
   "zh": "形状快照采集",
   "level": "l3"
  },
  "CAP_a5ae848e": {
   "en": "Shape Modal Reduction",
   "zh": "形状模态降阶",
   "level": "l3"
  },
  "CAP_fa6ff2d3": {
   "en": "Reduced Dynamics Identification",
   "zh": "降阶动力学辨识",
   "level": "l3"
  },
  "CAP_0c89d767": {
   "en": "Reduced-Space Shape Tracking Control",
   "zh": "降阶空间形状跟踪控制",
   "level": "l3"
  },
  "CAP_6887ba78": {
   "en": "RL Shape Morphing Control",
   "zh": "强化学习形状变形控制",
   "level": "l2"
  },
  "CAP_78ffdd1a": {
   "en": "Shape Matching Reward Design",
   "zh": "形状匹配奖励设计",
   "level": "l3"
  },
  "CAP_7f56cd1d": {
   "en": "Coarse-to-Fine Curriculum Policy",
   "zh": "粗到细课程策略",
   "level": "l3"
  },
  "CAP_0dbeac93": {
   "en": "Sim-to-Real Shape Policy Transfer",
   "zh": "sim-to-real 形变策略迁移",
   "level": "l3"
  },
  "CAP_c364bf60": {
   "en": "Virtual Fixture Shared Telemanipulation",
   "zh": "虚拟夹具共享遥操作",
   "level": "l2"
  },
  "CAP_77fa3dfe": {
   "en": "Goal-Inferred Shared Telemanipulation",
   "zh": "目标推断共享遥操作",
   "level": "l2"
  },
  "CAP_c45f950d": {
   "en": "Forbidden Region VF Generation",
   "zh": "禁止区虚拟夹具生成",
   "level": "l3"
  },
  "CAP_33e01aa2": {
   "en": "VF Constraint Projection",
   "zh": "虚拟夹具约束投影",
   "level": "l3"
  },
  "CAP_9ac6861c": {
   "en": "Operator Goal Belief Inference",
   "zh": "操作者目标信念推断",
   "level": "l3"
  },
  "CAP_4e98e93d": {
   "en": "Obstacle-Aware Assistance Computation",
   "zh": "避障辅助动作计算",
   "level": "l3"
  },
  "CAP_1be5a8fe": {
   "en": "Static Obstacle Boundary Extraction",
   "zh": "静态障碍物边界提取",
   "level": "l3"
  },
  "CAP_a310b69e": {
   "en": "Formal Logic Shared Intention Modeling",
   "zh": "形式化逻辑共享意图建模",
   "level": "l2"
  },
  "CAP_4bc8e718": {
   "en": "Joint Intention Logic Modeling",
   "zh": "联合意图逻辑建模",
   "level": "l3"
  },
  "CAP_670d9f4d": {
   "en": "Joint Commitment Establishment",
   "zh": "联合承诺建立",
   "level": "l3"
  },
  "CAP_969c2226": {
   "en": "SharedPlan Partial Plan Construction",
   "zh": "SharedPlan 部分计划构造",
   "level": "l3"
  },
  "CAP_72cfb776": {
   "en": "Team Role and Subplan Allocation",
   "zh": "团队角色与子计划分配",
   "level": "l3"
  },
  "CAP_27fc9ed1": {
   "en": "Commitment Monitoring and Team Intention Revision",
   "zh": "承诺监控与团队意图修订",
   "level": "l3"
  },
  "CAP_f8706400": {
   "en": "BDI Shared Intention Programming",
   "zh": "BDI 共享意图编程",
   "level": "l2"
  },
  "CAP_2024973b": {
   "en": "AgentSpeak Shared Belief Base Definition",
   "zh": "AgentSpeak 共享信念库定义",
   "level": "l3"
  },
  "CAP_1cb248f3": {
   "en": "Mutual Belief Synchronization",
   "zh": "相互信念同步",
   "level": "l3"
  },
  "CAP_78802a1b": {
   "en": "Bayesian Shared Intention Inference",
   "zh": "贝叶斯共享意图推断",
   "level": "l2"
  },
  "CAP_dc506ccc": {
   "en": "Mutual Mental Model Alignment Evaluation",
   "zh": "双向心智模型对齐评估",
   "level": "l3"
  },
  "CAP_846d2821": {
   "en": "LocalAdmittanceModel",
   "zh": "局部导纳模型构建",
   "level": "l3"
  },
  "CAP_ed53afd4": {
   "en": "ImplicitForceCommunicationModeling",
   "zh": "隐式力通信建模",
   "level": "l3"
  },
  "CAP_edce07d2": {
   "en": "LeaderFollowerRoleAssignment",
   "zh": "领导者-跟随者角色分配",
   "level": "l3"
  },
  "CAP_00c598fd": {
   "en": "DistributedLoadSharingConsensus",
   "zh": "分布式负载共享共识",
   "level": "l3"
  },
  "CAP_452e8b2e": {
   "en": "MultiArmExtension",
   "zh": "多臂扩展",
   "level": "l3"
  },
  "CAP_c6788117": {
   "en": "LocalClosedLoopVerification",
   "zh": "本地闭环执行与验证",
   "level": "l3"
  },
  "CAP_873a24ba": {
   "en": "POSIX Shared Memory Segment Setup",
   "zh": "POSIX 共享内存段搭建",
   "level": "l2"
  },
  "CAP_28011dd8": {
   "en": "Segment Layout Design",
   "zh": "共享内存段布局设计",
   "level": "l3"
  },
  "CAP_7b1d3e94": {
   "en": "Message Framing and Direct Memory Copy",
   "zh": "消息帧格式与直接内存拷贝",
   "level": "l3"
  },
  "CAP_a9856cbb": {
   "en": "eventfd Epoll Notification Channel",
   "zh": "eventfd epoll 通知通道",
   "level": "l3"
  },
  "CAP_d565d9d7": {
   "en": "Multi-reader Broadcast vs Single-reader Queue",
   "zh": "多读者广播与单读者队列布局",
   "level": "l3"
  },
  "CAP_bd317bfe": {
   "en": "Subscriber Zero-Copy Data Reception",
   "zh": "Subscriber 零拷贝数据接收",
   "level": "l2"
  },
  "CAP_5090162b": {
   "en": "WaitSet Listener Data Arrival Notification",
   "zh": "WaitSet/Listener 数据到达通知",
   "level": "l3"
  },
  "CAP_868abea7": {
   "en": "Message Queue Send and Receive",
   "zh": "消息队列发送与接收",
   "level": "l3"
  },
  "CAP_170e8fb4": {
   "en": "Cross-Process Address Translation",
   "zh": "跨进程地址翻译",
   "level": "l3"
  },
  "CAP_21216b53": {
   "en": "STL Container in Shared Memory",
   "zh": "共享内存中的 STL 容器",
   "level": "l3"
  },
  "CAP_6e879cd3": {
   "en": "Shared Parameter Stochastic Actor",
   "zh": "共享参数随机执行器",
   "level": "l3"
  },
  "CAP_54874ac7": {
   "en": "Monotonic Mixing Loss and Backpropagation",
   "zh": "单调混合损失与反向传播",
   "level": "l3"
  },
  "CAP_55f5434c": {
   "en": "Embodiment-Invariant Representation Zero-Shot Generalization Evaluation",
   "zh": "本体不变表征零样本泛化评估",
   "level": "l3"
  },
  "CAP_eb5fffc7": {
   "en": "Shared Predictive Substrate Representation Learning",
   "zh": "共享预测基底表征学习",
   "level": "l2"
  },
  "CAP_9ffe36e2": {
   "en": "Shared World Model Latent Representation Generalization Evaluation",
   "zh": "共享世界模型潜在表征泛化评估",
   "level": "l3"
  },
  "CAP_61592eab": {
   "en": "Decoder-Free Latent World Model Shared Representation",
   "zh": "无解码器潜在世界模型共享表征",
   "level": "l3"
  },
  "CAP_c3c035b4": {
   "en": "Return-Conditioned Shared Sequence Representation",
   "zh": "回报条件共享序列表征",
   "level": "l3"
  },
  "CAP_a9bc0394": {
   "en": "Multi-Task Shared Perceptual Representation Learning",
   "zh": "多任务共享感知表征学习",
   "level": "l2"
  },
  "CAP_cb0e5771": {
   "en": "3D Voxel Joint Training Shared Representation",
   "zh": "3D 体素联合训练共享表征",
   "level": "l3"
  },
  "CAP_1eb6eb21": {
   "en": "Frozen Encoder Multi-Task Shared Attach",
   "zh": "冻结编码器多任务共享接入",
   "level": "l3"
  },
  "CAP_c0c54115": {
   "en": "Task ID Conditioned Multitask RL",
   "zh": "任务 ID 条件多任务强化学习",
   "level": "l3"
  },
  "CAP_0b245ffa": {
   "en": "Multi-Task Multi-Modal Transformer Scaling",
   "zh": "多任务多模态Transformer扩展",
   "level": "l3"
  },
  "CAP_136a2611": {
   "en": "Task Condition Concat Fusion",
   "zh": "任务嵌入拼接融合",
   "level": "l3"
  },
  "CAP_c38d4e17": {
   "en": "Voxel-Based Multi-Task 6-DoF Action Detection",
   "zh": "voxel 3D 多任务 6-DoF 动作检测",
   "level": "l3"
  },
  "CAP_9468e794": {
   "en": "Shared Representation Downstream Evaluation",
   "zh": "共享表征与下游评估",
   "level": "l3"
  },
  "CAP_9c1b28fc": {
   "en": "Reactive Synthesis LTLSYNT",
   "zh": "LTL 策略机合成",
   "level": "l3"
  },
  "CAP_f9afe8db": {
   "en": "Probabilistic Model-Based Shielding",
   "zh": "概率模型近似屏蔽",
   "level": "l2"
  },
  "CAP_9b24be9c": {
   "en": "Probabilistic Model-Based Shield Construction",
   "zh": "概率模型屏蔽器构建",
   "level": "l3"
  },
  "CAP_6a807d6c": {
   "en": "System Model Learning and Abstraction",
   "zh": "系统模型学习与抽象",
   "level": "l3"
  },
  "CAP_6aef468d": {
   "en": "Probabilistic Safety Guarantee Evaluation",
   "zh": "概率安全保证评测",
   "level": "l3"
  },
  "CAP_cc25410d": {
   "en": "Probabilistic Logic Shield",
   "zh": "概率逻辑屏蔽",
   "level": "l2"
  },
  "CAP_fbf57b96": {
   "en": "Probabilistic Logic Safety Specification",
   "zh": "概率逻辑安全规约编写",
   "level": "l3"
  },
  "CAP_1a272b19": {
   "en": "Safety-Gradient Policy Optimization",
   "zh": "安全梯度策略优化",
   "level": "l3"
  },
  "CAP_04486d29": {
   "en": "DDS SHM Transport Microbenchmark",
   "zh": "DDS 级共享内存传输微基准",
   "level": "l2"
  },
  "CAP_656d8ab2": {
   "en": "Benchmark Statistics Aggregation",
   "zh": "基准统计聚合",
   "level": "l3"
  },
  "CAP_8697ec69": {
   "en": "Configuration Benefit Evaluation",
   "zh": "配置变更收益评估",
   "level": "l3"
  },
  "CAP_aeb3db7c": {
   "en": "SHM Transport Benefit Comparison",
   "zh": "SHM Transport 收益对比",
   "level": "l3"
  },
  "CAP_bba6e975": {
   "en": "Zero Copy Option Benefit Comparison",
   "zh": "零拷贝选项收益对比",
   "level": "l3"
  },
  "CAP_0f3202b7": {
   "en": "Geometric Co-Registration",
   "zh": "几何共配准",
   "level": "l3"
  },
  "CAP_961a4438": {
   "en": "Radiometric Normalization",
   "zh": "辐射归一化",
   "level": "l3"
  },
  "CAP_c5955d64": {
   "en": "Morphological Filtering & Connected Component Filter",
   "zh": "形态学滤波与连通域过滤",
   "level": "l3"
  },
  "CAP_d6204412": {
   "en": "Change Statistics Computation",
   "zh": "变化统计计算",
   "level": "l3"
  },
  "CAP_e54a05c4": {
   "en": "Input Preprocessing for Siamese CD",
   "zh": "孪生变化检测输入预处理",
   "level": "l2"
  },
  "CAP_d7164f85": {
   "en": "Postprocessing for Change Detection",
   "zh": "变化检测后处理",
   "level": "l2"
  },
  "CAP_1a2f69f5": {
   "en": "Model Training for Siamese CD",
   "zh": "孪生变化检测模型训练",
   "level": "l2"
  },
  "CAP_c149fd96": {
   "en": "Siamese CNN Feature Extraction",
   "zh": "孪生CNN特征提取",
   "level": "l3"
  },
  "CAP_70b3f9c2": {
   "en": "Cross-temporal Feature Difference",
   "zh": "跨时相特征差分",
   "level": "l3"
  },
  "CAP_0f6c6ffa": {
   "en": "Dense Skip Connection Feature Aggregation",
   "zh": "密集跳跃连接特征聚合",
   "level": "l3"
  },
  "CAP_1bbdf500": {
   "en": "Weighted CE+Dice Mixed Loss Training",
   "zh": "加权交叉熵+Dice混合损失训练",
   "level": "l3"
  },
  "CAP_9673a986": {
   "en": "Attention-Augmented Feature Extraction",
   "zh": "注意力增强特征提取",
   "level": "l3"
  },
  "CAP_9a26e2e0": {
   "en": "Multi-scale Pyramid Attention Feature Refinement",
   "zh": "多尺度金字塔注意力精炼PAM",
   "level": "l3"
  },
  "CAP_aee59dfa": {
   "en": "Metric-based Change Distance Map",
   "zh": "度量法变化距离图",
   "level": "l3"
  },
  "CAP_2c5dc047": {
   "en": "Batch-balanced Contrastive Loss Training",
   "zh": "批量平衡对比损失训练",
   "level": "l3"
  },
  "CAP_9f9dcc5e": {
   "en": "Transformer Siamese Feature Extraction",
   "zh": "Transformer孪生特征提取",
   "level": "l2"
  },
  "CAP_9bda3a4a": {
   "en": "Transformer Context Encoding",
   "zh": "Transformer上下文编码",
   "level": "l2"
  },
  "CAP_5d5e43fb": {
   "en": "Transformer Difference Decoding",
   "zh": "Transformer差异解码",
   "level": "l2"
  },
  "CAP_af367d4e": {
   "en": "Spatial-Attention Semantic Tokenizer",
   "zh": "空间注意力语义token化",
   "level": "l3"
  },
  "CAP_c30fea35": {
   "en": "Hierarchical Transformer Multi-scale Feature Extraction",
   "zh": "分层Transformer多尺度特征提取",
   "level": "l3"
  },
  "CAP_6faeba2d": {
   "en": "Tokenized Self-Attention Space-Time Context Encoding",
   "zh": "token化自注意力时空上下文编码",
   "level": "l3"
  },
  "CAP_3456e3c2": {
   "en": "Siamese Transformer Decoder Token-to-Pixel Back-Projection",
   "zh": "孪生Transformer解码器token到像素回投",
   "level": "l3"
  },
  "CAP_605b47c2": {
   "en": "Learned Multi-scale Feature Difference Module",
   "zh": "学习型多尺度特征差异模块",
   "level": "l3"
  },
  "CAP_c5fd1ee2": {
   "en": "Shallow CNN Difference Prediction Head",
   "zh": "浅层CNN差异预测头",
   "level": "l3"
  },
  "CAP_985574d0": {
   "en": "MLP Multi-scale Difference Decoder",
   "zh": "MLP多尺度差异解码器",
   "level": "l3"
  },
  "CAP_628160d7": {
   "en": "Cross-Entropy Loss Change Detection Training",
   "zh": "交叉熵损失变化检测训练",
   "level": "l3"
  },
  "CAP_82369ce5": {
   "en": "K8s MutatingWebhook Sidecar Auto-Injection (Istio)",
   "zh": "K8s MutatingWebhook Sidecar 自动注入（Istio）",
   "level": "l3"
  },
  "CAP_710e0055": {
   "en": "iptables Transparent Traffic Interception (Istio)",
   "zh": "iptables 透明流量劫持（Istio）",
   "level": "l3"
  },
  "CAP_6b1a4204": {
   "en": "pilot-agent Envoy Bootstrap & Lifecycle",
   "zh": "pilot-agent Envoy 引导与生命周期管理",
   "level": "l3"
  },
  "CAP_163e8a2e": {
   "en": "Envoy Virtual Listener Inbound/Outbound Routing",
   "zh": "Envoy 虚拟监听器入站/出站流量路由",
   "level": "l3"
  },
  "CAP_5d620853": {
   "en": "Linkerd2-proxy Sidecar Deployment",
   "zh": "Linkerd2-proxy Sidecar 部署",
   "level": "l2"
  },
  "CAP_2a9738fd": {
   "en": "K8s Webhook Sidecar Auto-Injection (Linkerd)",
   "zh": "K8s Webhook Sidecar 自动注入（Linkerd）",
   "level": "l3"
  },
  "CAP_60813520": {
   "en": "iptables Transparent Traffic Interception (Linkerd)",
   "zh": "iptables 透明流量劫持（Linkerd）",
   "level": "l3"
  },
  "CAP_81f4684a": {
   "en": "linkerd2-proxy Self-Bootstrap & Env Var Config",
   "zh": "linkerd2-proxy 自举与环境变量配置",
   "level": "l3"
  },
  "CAP_6b420abb": {
   "en": "linkerd2-proxy Protocol Detection & Zero-Config Proxy",
   "zh": "linkerd2-proxy 协议检测与零配置代理",
   "level": "l3"
  },
  "CAP_6c00653c": {
   "en": "Consul Connect Multi-Platform Sidecar Deployment",
   "zh": "Consul Connect 多平台 Sidecar 部署",
   "level": "l2"
  },
  "CAP_2cbeb715": {
   "en": "Consul connect envoy Bootstrap",
   "zh": "Consul connect envoy 启动引导",
   "level": "l3"
  },
  "CAP_35c0f87d": {
   "en": "Consul Catalog to xDS Translation",
   "zh": "Consul 目录到 xDS 配置翻译",
   "level": "l3"
  },
  "CAP_2f891714": {
   "en": "Multi-Platform Sidecar Process Management",
   "zh": "多平台 Sidecar 进程管理",
   "level": "l3"
  },
  "CAP_ec903076": {
   "en": "Side Fall Initial State Sampling",
   "zh": "侧躺初始状态采样",
   "level": "l3"
  },
  "CAP_dd51c466": {
   "en": "Recovery Reward Shaping",
   "zh": "恢复奖励塑形",
   "level": "l3"
  },
  "CAP_504b2069": {
   "en": "PPO Recovery Training Loop",
   "zh": "PPO 恢复训练循环",
   "level": "l3"
  },
  "CAP_ba656f90": {
   "en": "Multi-Contact Trajectory Optimization Recovery Pipeline",
   "zh": "多接触轨迹优化恢复管线",
   "level": "l2"
  },
  "CAP_484764eb": {
   "en": "OCP Formulation with SRBD Contact Constraints",
   "zh": "基于 SRBD 的接触约束 OCP 构造",
   "level": "l3"
  },
  "CAP_9bde7b5c": {
   "en": "NLP/FDDP Solver for Recovery OCP",
   "zh": "恢复 OCP 的 NLP/FDDP 求解",
   "level": "l3"
  },
  "CAP_819f481f": {
   "en": "Recovery Reference Trajectory Validation",
   "zh": "恢复参考轨迹可行性验证",
   "level": "l3"
  },
  "CAP_302d86da": {
   "en": "Keyframe-Based Recovery with WBC Tracking",
   "zh": "基于关键帧的恢复与 WBC 跟踪",
   "level": "l2"
  },
  "CAP_da01326a": {
   "en": "Recovery Keyframe Pose Design",
   "zh": "恢复关键帧姿态设计",
   "level": "l3"
  },
  "CAP_99156b11": {
   "en": "Recovery FSM Construction",
   "zh": "恢复 FSM 状态机构建",
   "level": "l3"
  },
  "CAP_5f785afd": {
   "en": "Keyframe Trajectory Interpolation",
   "zh": "关键帧轨迹插值",
   "level": "l3"
  },
  "CAP_2560f3d6": {
   "en": "Analog Signal-Level Conditioning",
   "zh": "信号级模拟量调理",
   "level": "l2"
  },
  "CAP_a01fc575": {
   "en": "AO Channel Scaling Configuration",
   "zh": "模拟输出通道缩放配置",
   "level": "l3"
  },
  "CAP_7c5d3bd0": {
   "en": "AI Channel Scaling Configuration",
   "zh": "模拟输入通道缩放配置",
   "level": "l3"
  },
  "CAP_90676be4": {
   "en": "Anti-Aliasing Filter Design",
   "zh": "抗混叠滤波器设计",
   "level": "l3"
  },
  "CAP_175997fd": {
   "en": "Instrumentation Amplifier Configuration",
   "zh": "仪表放大器配置",
   "level": "l3"
  },
  "CAP_eeb7fa16": {
   "en": "Isolation Amplifier Configuration",
   "zh": "隔离放大器配置",
   "level": "l3"
  },
  "CAP_03e2485f": {
   "en": "Analog Signal Integrity Verification",
   "zh": "模拟信号完整性验证",
   "level": "l3"
  },
  "CAP_3013154b": {
   "en": "Digital I/O Level Shifting and Isolation",
   "zh": "数字I/O电平转换与隔离",
   "level": "l2"
  },
  "CAP_5e373d6e": {
   "en": "Digital Level Standard Evaluation",
   "zh": "数字电平标准评估",
   "level": "l3"
  },
  "CAP_33b337da": {
   "en": "Level Shifter IC Configuration",
   "zh": "电平转换IC配置",
   "level": "l3"
  },
  "CAP_03d5544e": {
   "en": "Digital Isolator Configuration",
   "zh": "数字隔离器配置",
   "level": "l3"
  },
  "CAP_8b4e48ce": {
   "en": "High-Speed Differential Signal Termination",
   "zh": "高速差分信号终端匹配",
   "level": "l3"
  },
  "CAP_797f5047": {
   "en": "Digital Isolation Verification",
   "zh": "数字隔离参数核算",
   "level": "l3"
  },
  "CAP_bb06a958": {
   "en": "Scene Geometry Loading",
   "zh": "场景几何加载",
   "level": "l3"
  },
  "CAP_21201b62": {
   "en": "Radio Material Configuration",
   "zh": "电磁材料属性配置",
   "level": "l3"
  },
  "CAP_7595d133": {
   "en": "Deterministic CIR Computation",
   "zh": "确定性信道冲击响应计算",
   "level": "l3"
  },
  "CAP_89069313": {
   "en": "NLoS Geometric Bias Profiling",
   "zh": "NLoS 几何偏差剖析",
   "level": "l3"
  },
  "CAP_1b0ec0aa": {
   "en": "Ray Tracing Dataset Export",
   "zh": "射线追踪数据集导出",
   "level": "l3"
  },
  "CAP_3fd70ac4": {
   "en": "Scene and Material Setup",
   "zh": "场景与材料准备",
   "level": "l2"
  },
  "CAP_5cebff95": {
   "en": "Transceiver and Solver Execution",
   "zh": "收发与求解执行",
   "level": "l2"
  },
  "CAP_6308fb2f": {
   "en": "Localization Output Extraction",
   "zh": "定位专用输出提取",
   "level": "l2"
  },
  "CAP_1f596f71": {
   "en": "Multi-Wall Path Loss Calibration",
   "zh": "多墙路径损耗标定",
   "level": "l3"
  },
  "CAP_20f584a3": {
   "en": "GP Residual Shadowing Map",
   "zh": "GP残差阴影地图",
   "level": "l3"
  },
  "CAP_c949006c": {
   "en": "Parametric RSS Map Inference",
   "zh": "参数化RSS地图推理",
   "level": "l3"
  },
  "CAP_ef391928": {
   "en": "RSS Map and Uncertainty Output",
   "zh": "RSS地图与不确定度输出",
   "level": "l3"
  },
  "CAP_a6025b26": {
   "en": "Sparse RSSI Sampling",
   "zh": "稀疏RSSI采样",
   "level": "l2"
  },
  "CAP_3274f377": {
   "en": "Parametric Model and GP Residual",
   "zh": "参数化模型与GP残差",
   "level": "l2"
  },
  "CAP_83da63cc": {
   "en": "RSS Inference and Map Output",
   "zh": "RSS推理与地图输出",
   "level": "l2"
  },
  "CAP_46a4f725": {
   "en": "Path Loss Surrogate Training",
   "zh": "路径损耗代理训练",
   "level": "l3"
  },
  "CAP_2bb90aa7": {
   "en": "Surrogate Model Training",
   "zh": "代理模型训练",
   "level": "l2"
  },
  "CAP_e1b72308": {
   "en": "Dense RSS Map Inference",
   "zh": "稠密RSS地图推理",
   "level": "l3"
  },
  "CAP_7a106423": {
   "en": "Inference and Cross Building Transfer",
   "zh": "推理与跨建筑迁移",
   "level": "l2"
  },
  "CAP_13c04051": {
   "en": "Cross Building RSS Transfer",
   "zh": "跨建筑RSS迁移",
   "level": "l3"
  },
  "CAP_af043a35": {
   "en": "Mobility Trajectory Loading",
   "zh": "移动轨迹加载",
   "level": "l3"
  },
  "CAP_0d8e29d2": {
   "en": "BER Monte Carlo Evaluation",
   "zh": "误码率Monte Carlo评估",
   "level": "l3"
  },
  "CAP_38bf3b8a": {
   "en": "ProbabilisticPathSearch",
   "zh": "概率路径搜索",
   "level": "l3"
  },
  "CAP_9e723b54": {
   "en": "Evaluation Throughput Benchmarking",
   "zh": "评测吞吐量化与基准化",
   "level": "l3"
  },
  "CAP_fa307b75": {
   "en": "Episode Dataset Standardized Format",
   "zh": "Episode 数据集标准化格式",
   "level": "l3"
  },
  "CAP_dd49af0a": {
   "en": "Formal Logic Predicate Success Criterion",
   "zh": "形式化逻辑谓词成功判定",
   "level": "l3"
  },
  "CAP_d20c1996": {
   "en": "Goal-Conditioned Evaluation Protocol and Benchmark Suite",
   "zh": "目标条件化评估协议与基准套件",
   "level": "l3"
  },
  "CAP_93d44dc0": {
   "en": "Server Side Evaluation and Leaderboard",
   "zh": "服务器端评测与排行榜",
   "level": "l3"
  },
  "CAP_d6a893d2": {
   "en": "Sensor Material Reflectance Mapping",
   "zh": "材料反射率映射",
   "level": "l3"
  },
  "CAP_c32a7c54": {
   "en": "LiDAR Ray Casting Execution",
   "zh": "激光雷达光线追踪执行",
   "level": "l3"
  },
  "CAP_e7ac91a3": {
   "en": "Lidar Motion Distortion Noise Injection",
   "zh": "激光雷达运动畸变与噪声注入",
   "level": "l3"
  },
  "CAP_5e52d1ea": {
   "en": "Simulated PointCloud2 ROS Publishing",
   "zh": "仿真点云ROS消息发布",
   "level": "l3"
  },
  "CAP_e26890e6": {
   "en": "Standardized Contact Trajectory Replay",
   "zh": "标准化接触轨迹回放",
   "level": "l3"
  },
  "CAP_90c01305": {
   "en": "Tactile-Informed Policy Training In Simulation",
   "zh": "仿真中触觉策略训练",
   "level": "l3"
  },
  "CAP_f2936df0": {
   "en": "Cross-Domain Perception Model Transfer Evaluation",
   "zh": "跨域感知模型迁移评估",
   "level": "l3"
  },
  "CAP_9f5e3b2a": {
   "en": "ROS Gazebo Topic Bridge",
   "zh": "ROS Gazebo话题桥接",
   "level": "l3"
  },
  "CAP_c3d8e6f5": {
   "en": "Isaac Lab GPU Simulation CI",
   "zh": "Isaac Lab GPU仿真CI",
   "level": "l2"
  },
  "CAP_d4e9f7a6": {
   "en": "Isaac Sim Docker Container Launch",
   "zh": "Isaac Sim Docker容器启动",
   "level": "l3"
  },
  "CAP_e5fab8b7": {
   "en": "Isaac Lab AppLauncher Headless Launch",
   "zh": "Isaac Lab AppLauncher无头启动",
   "level": "l3"
  },
  "CAP_17bcd0d9": {
   "en": "GPU CI Runner Environment Provisioning",
   "zh": "GPU CI Runner环境准备",
   "level": "l3"
  },
  "CAP_28cde1ea": {
   "en": "CARLA Scenario Testing CI",
   "zh": "CARLA场景测试CI",
   "level": "l2"
  },
  "CAP_39def2fb": {
   "en": "CARLA Simulator Server Launch",
   "zh": "CARLA仿真器服务器启动",
   "level": "l3"
  },
  "CAP_4aef031c": {
   "en": "OpenSCENARIO Test Case Parsing",
   "zh": "OpenSCENARIO测试用例解析",
   "level": "l3"
  },
  "CAP_6c01253e": {
   "en": "Scenario Criteria Assertion",
   "zh": "场景评判标准断言",
   "level": "l3"
  },
  "CAP_7d35388c": {
   "en": "DR-based Navigation Policy Learning",
   "zh": "域随机化导航策略训练",
   "level": "l2"
  },
  "CAP_2932ff61": {
   "en": "Privileged Information Guided Trajectory Generation",
   "zh": "特权信息引导轨迹生成",
   "level": "l3"
  },
  "CAP_3ee13aea": {
   "en": "Critic-Based Trajectory Safety Selection",
   "zh": "基于 Critic 的轨迹安全选择",
   "level": "l3"
  },
  "CAP_242b90b7": {
   "en": "3DGS Real-to-Sim Scene Reconstruction for Training",
   "zh": "3DGS 真实到仿真场景重建训练",
   "level": "l3"
  },
  "CAP_f4a453d4": {
   "en": "Metric-Aware Geometric Navigation Pipeline",
   "zh": "度量感知几何导航流水线",
   "level": "l2"
  },
  "CAP_c38df0fa": {
   "en": "VGGT Geometric Backbone Finetuning",
   "zh": "VGGT 度量感知主干微调",
   "level": "l3"
  },
  "CAP_cfe90c6e": {
   "en": "Metric-Scale 3D Scene Understanding for Navigation",
   "zh": "导航度量尺度时序特征提取",
   "level": "l3"
  },
  "CAP_9cf6ccdd": {
   "en": "Implicit Localization via Geometry Decoupling",
   "zh": "几何解耦隐式定位",
   "level": "l3"
  },
  "CAP_e04be423": {
   "en": "Geometric Navigation Deployment",
   "zh": "几何导航部署",
   "level": "l2"
  },
  "CAP_a38c7277": {
   "en": "Camera Jitter Robust Navigation",
   "zh": "相机抖动稳健导航",
   "level": "l3"
  },
  "CAP_d583ab5d": {
   "en": "Scene Geometry Reconstruction",
   "zh": "场景几何重建",
   "level": "l3"
  },
  "CAP_6502ccd6": {
   "en": "Synchronous Dual-Arm TAMP Pipeline",
   "zh": "同步双臂 TAMP 流水线",
   "level": "l2"
  },
  "CAP_82f982ea": {
   "en": "Dual-Arm Trajectory Conflict Resolution",
   "zh": "双臂轨迹冲突消解",
   "level": "l3"
  },
  "CAP_7461974e": {
   "en": "Real-Time Dual-Arm Trajectory Execution",
   "zh": "实时双臂轨迹执行",
   "level": "l3"
  },
  "CAP_23dd208e": {
   "en": "Optimal Dual-Arm Rearrangement Scheduling",
   "zh": "最优双臂重排调度",
   "level": "l2"
  },
  "CAP_f7d528b0": {
   "en": "Transfer Cost Minimization Matching",
   "zh": "转移成本最小化匹配",
   "level": "l3"
  },
  "CAP_336a3fa0": {
   "en": "Move Cost Minimization Ordering",
   "zh": "移动成本最小化排序",
   "level": "l3"
  },
  "CAP_2b358e16": {
   "en": "Learning-Based Dual-Arm Rearrangement",
   "zh": "学习型双臂重排",
   "level": "l2"
  },
  "CAP_096df3c9": {
   "en": "Attention RL Task Allocation",
   "zh": "注意力 RL 任务分配",
   "level": "l3"
  },
  "CAP_d6d790a1": {
   "en": "Cooperative Cost Matrix Prediction",
   "zh": "合作代价矩阵预测",
   "level": "l3"
  },
  "CAP_8be36c64": {
   "en": "Arrangement Space Makespan Heuristic Search",
   "zh": "排列空间 makespan 启发式搜索",
   "level": "l3"
  },
  "CAP_dda2b9cf": {
   "en": "Task State Graph Construction",
   "zh": "任务状态图构造",
   "level": "l3"
  },
  "CAP_6c0765d8": {
   "en": "Dual-Arm Step-Back Replanning",
   "zh": "双臂步退重规划",
   "level": "l3"
  },
  "CAP_e3943c41": {
   "en": "Concession-Based Dual-Arm Motion Planning",
   "zh": "让行式双臂运动规划",
   "level": "l3"
  },
  "CAP_583fc08a": {
   "en": "ROS2 CI Workspace Build",
   "zh": "ROS2 CI 工作空间构建",
   "level": "l3"
  },
  "CAP_ddd3aee0": {
   "en": "Cloud Parallel Simulation CI Orchestration",
   "zh": "云端并行仿真 CI 编排",
   "level": "l2"
  },
  "CAP_6ea64fde": {
   "en": "Cloud Compute Environment Provisioning",
   "zh": "云端计算环境配置",
   "level": "l3"
  },
  "CAP_d4910ded": {
   "en": "Batch Simulation Job Submission",
   "zh": "批量仿真作业提交",
   "level": "l3"
  },
  "CAP_25d08df5": {
   "en": "Simulation Result Aggregation",
   "zh": "仿真结果汇总",
   "level": "l3"
  },
  "CAP_5d7b68a4": {
   "en": "CI Status Reporting and Archival",
   "zh": "CI 状态上报与归档",
   "level": "l3"
  },
  "CAP_3d26d58f": {
   "en": "Multi-Task Parameterized Benchmark Instantiation and Evaluation",
   "zh": "多任务参数化基准实例化与评测",
   "level": "l2"
  },
  "CAP_02adf1dc": {
   "en": "ManiSkill GPU-Parallel Multi-Task Simulation Evaluation",
   "zh": "ManiSkill GPU 并行多任务仿真评测",
   "level": "l3"
  },
  "CAP_b8b0f123": {
   "en": "Long-Horizon Language-Conditioned Benchmark Evaluation",
   "zh": "长程语言条件基准评测",
   "level": "l2"
  },
  "CAP_1c8f0741": {
   "en": "Long-Horizon Language-Conditioned Demo Data Loading",
   "zh": "长程语言条件演示数据加载",
   "level": "l3"
  },
  "CAP_bb1394e9": {
   "en": "RLBench Multi-Task and Few-Shot BC Evaluation",
   "zh": "RLBench 多任务与少样本 BC 评测",
   "level": "l3"
  },
  "CAP_ced832b1": {
   "en": "Large-Scale Procedural Scene Generation Benchmark Evaluation",
   "zh": "大规模程序化场景生成基准评测",
   "level": "l2"
  },
  "CAP_ae8ba4a1": {
   "en": "Procedural Scene Task Success Verification",
   "zh": "程序化场景任务成功核验",
   "level": "l3"
  },
  "CAP_60e6544d": {
   "en": "Scene-Generalization Metric Aggregation",
   "zh": "场景泛化指标聚合",
   "level": "l3"
  },
  "CAP_66cbade7": {
   "en": "Meta-World+ v3 Standardized Benchmark Evaluation",
   "zh": "Meta-World+ v3 标准化基准评测",
   "level": "l3"
  },
  "CAP_7709a690": {
   "en": "Sim-to-Real Control Gap Mitigation",
   "zh": "仿真到真实控制差距缓解",
   "level": "l3"
  },
  "CAP_5c8335eb": {
   "en": "Benchmark Suite Pairing",
   "zh": "基准套件配对",
   "level": "l3"
  },
  "CAP_97c53983": {
   "en": "Real World Policy Evaluation",
   "zh": "真实侧策略评测",
   "level": "l2"
  },
  "CAP_650946c7": {
   "en": "DIS PDU Broadcast State Synchronization",
   "zh": "DIS PDU 广播式实体状态同步范式",
   "level": "l2"
  },
  "CAP_8000a044": {
   "en": "DIS UDP Multicast Network Interface Setup",
   "zh": "DIS UDP 多播网络接口建立",
   "level": "l3"
  },
  "CAP_ab5382da": {
   "en": "EntityStatePDU Binary Marshal Unmarshal",
   "zh": "EntityStatePDU 二进制序列化与反序列化",
   "level": "l3"
  },
  "CAP_ef9fab63": {
   "en": "Dead Reckoning Remote Entity Extrapolation",
   "zh": "Dead Reckoning 远端实体姿态推算",
   "level": "l3"
  },
  "CAP_6cd4bd9f": {
   "en": "DIS Dead Reckoning Threshold Retransmit",
   "zh": "DIS Dead Reckoning 阈值触发重传",
   "level": "l3"
  },
  "CAP_d1296072": {
   "en": "HLA RTI Federation Time Advance Synchronization",
   "zh": "HLA/RTI 联邦时间推进同步范式",
   "level": "l2"
  },
  "CAP_f87bcd69": {
   "en": "FOM SOM Design and Fed File Generation",
   "zh": "FOM/SOM 设计与 fed 文件生成",
   "level": "l3"
  },
  "CAP_5f74e5e3": {
   "en": "HLA Federation Creation and Federate Join",
   "zh": "HLA 联邦创建与成员加入",
   "level": "l3"
  },
  "CAP_2b69eafd": {
   "en": "HLA TAR NER Time Advance Service",
   "zh": "HLA TAR/NER 时间推进服务",
   "level": "l3"
  },
  "CAP_3fad744d": {
   "en": "HLA TSO Event Causal Ordering",
   "zh": "HLA TSO 事件因果序保证",
   "level": "l3"
  },
  "CAP_988c1a9d": {
   "en": "Simulation Clock Broadcast and Sim Time Domain Unification",
   "zh": "仿真时钟 /clock 主题广播 + use_sim_time 时钟域统一范式",
   "level": "l2"
  },
  "CAP_485bbbbc": {
   "en": "Sim Time Parameter and Clock Domain Unification",
   "zh": "use_sim_time 参数与时钟域统一",
   "level": "l3"
  },
  "CAP_773c9a6d": {
   "en": "Gazebo ROS Bridge Clock Topic",
   "zh": "ros_gz_bridge /clock 主题桥接",
   "level": "l3"
  },
  "CAP_0a1b2c3d": {
   "en": "Blind Proprioceptive DAgger Distillation Pipeline",
   "zh": "盲式本体感知 DAgger 蒸馏链",
   "level": "l2"
  },
  "CAP_1b2c3d4e": {
   "en": "Visual Terrain Encoder Distillation Pipeline",
   "zh": "视觉感知地形编码器蒸馏链",
   "level": "l2"
  },
  "CAP_2c3d4e5f": {
   "en": "Environment Parameter Adaptation Distillation Pipeline",
   "zh": "环境参数适应模块蒸馏链",
   "level": "l2"
  },
  "CAP_3d4e5f6a": {
   "en": "Humanoid Teleoperation DAgger Distillation Pipeline",
   "zh": "人形遥操作全身 DAgger 蒸馏链",
   "level": "l2"
  },
  "CAP_bb469077": {
   "en": "Visual Terrain Encoder Student Distillation",
   "zh": "视觉地形编码器学生蒸馏",
   "level": "l3"
  },
  "CAP_6127d696": {
   "en": "Privileged Teacher RL Whole-Body Tracking",
   "zh": "特权教师全身跟踪 RL 训练",
   "level": "l3"
  },
  "CAP_83429e2a": {
   "en": "RL Motion Tracking Policy Inference",
   "zh": "RL 运动跟踪策略推理",
   "level": "l3"
  },
  "CAP_116b02d2": {
   "en": "Terrain Curriculum Training",
   "zh": "地形课程训练",
   "level": "l3"
  },
  "CAP_d0cfb2dd": {
   "en": "Proprioceptive Student Policy Inference",
   "zh": "本体感知学生策略推理",
   "level": "l3"
  },
  "CAP_f876f4d7": {
   "en": "VR Tracking Input Processing",
   "zh": "VR 追踪输入处理",
   "level": "l3"
  },
  "CAP_502f7c62": {
   "en": "Humanoid Reference Motion Dataset",
   "zh": "人形参考运动数据集",
   "level": "l3"
  },
  "CAP_aafb4ed6": {
   "en": "Unpaired Sim-Real Translation Model Training",
   "zh": "无配对仿真-真实翻译器训练",
   "level": "l3"
  },
  "CAP_f856d00f": {
   "en": "Task-Aware Translation Consistency Constraint",
   "zh": "任务感知翻译一致性约束",
   "level": "l3"
  },
  "CAP_e4d08536": {
   "en": "Real Unlabeled Image Collection",
   "zh": "真实无标注图像采集",
   "level": "l3"
  },
  "CAP_748cc549": {
   "en": "Translated-Image Policy Training",
   "zh": "翻译后图像策略训练",
   "level": "l2"
  },
  "CAP_cbb32714": {
   "en": "Translated-Image Policy Training Step",
   "zh": "翻译后图像策略训练步骤",
   "level": "l3"
  },
  "CAP_5c1c0ddd": {
   "en": "Canonical-Space Policy Training",
   "zh": "规范视觉空间策略训练",
   "level": "l3"
  },
  "CAP_ade4301a": {
   "en": "Test Time Shift Calibration",
   "zh": "测试时移位校准",
   "level": "l2"
  },
  "CAP_6d73c531": {
   "en": "Online Adaptation Step",
   "zh": "在线适应单步",
   "level": "l3"
  },
  "CAP_98a1edf2": {
   "en": "Continual TTA Step",
   "zh": "持续测试时适应单步",
   "level": "l3"
  },
  "CAP_3b10d783": {
   "en": "Test-Time Calibration Step",
   "zh": "测试时校准单步",
   "level": "l3"
  },
  "CAP_3205ad76": {
   "en": "Gap Source Localization",
   "zh": "差距来源定位",
   "level": "l2"
  },
  "CAP_3e31741b": {
   "en": "Reconstruction Fidelity and Transfer Correlation",
   "zh": "重建保真度与迁移相关性",
   "level": "l2"
  },
  "CAP_5f69e330": {
   "en": "Gap Attribution Decomposition",
   "zh": "差距归因分解",
   "level": "l2"
  },
  "CAP_76d06086": {
   "en": "Point Cloud Deviation Computation",
   "zh": "点云偏差计算",
   "level": "l2"
  },
  "CAP_16101c46": {
   "en": "Distance Histogram Export",
   "zh": "距离直方图导出",
   "level": "l3"
  },
  "CAP_2e74d66b": {
   "en": "Gap Phase Decomposition",
   "zh": "差距相位分解",
   "level": "l3"
  },
  "CAP_f93c339a": {
   "en": "Gap Source Report",
   "zh": "差距来源定位报告",
   "level": "l3"
  },
  "CAP_ccf68ce5": {
   "en": "Single-Image RGB-D Object Extraction",
   "zh": "单图RGB-D物体提取",
   "level": "l3"
  },
  "CAP_458f318a": {
   "en": "Reconstruction Fidelity Six-Metric Quantification",
   "zh": "重建保真度六指标量化",
   "level": "l3"
  },
  "CAP_2980b318": {
   "en": "Reconstruction Transfer Correlation Analysis",
   "zh": "重建-迁移相关性分析",
   "level": "l3"
  },
  "CAP_da1a4a4a": {
   "en": "Bayesian Calibration and Model Discrepancy Decomposition",
   "zh": "贝叶斯校准与模型偏差分解",
   "level": "l3"
  },
  "CAP_8072e725": {
   "en": "Parameter Sensitivity Analysis",
   "zh": "参数敏感性分析",
   "level": "l3"
  },
  "CAP_4a0b0b10": {
   "en": "Gap Attribution Report",
   "zh": "差距归因报告",
   "level": "l3"
  },
  "CAP_5fffd848": {
   "en": "Sim Environment and DR Configuration",
   "zh": "仿真环境与域随机化配置",
   "level": "l2"
  },
  "CAP_ea957ae7": {
   "en": "GPU Parallel RL Policy Training",
   "zh": "GPU并行RL策略训练",
   "level": "l2"
  },
  "CAP_b7aeeffd": {
   "en": "Zero-Shot Deployment and Transfer Evaluation",
   "zh": "零样本部署与迁移评估",
   "level": "l2"
  },
  "CAP_30b89e95": {
   "en": "Robotics Simulator Setup",
   "zh": "机器人仿真器搭建",
   "level": "l3"
  },
  "CAP_e933acc9": {
   "en": "Visual State Estimator Training",
   "zh": "视觉状态估计器训练",
   "level": "l3"
  },
  "CAP_222e2944": {
   "en": "System Identification and Sim Calibration",
   "zh": "系统辨识与仿真标定",
   "level": "l2"
  },
  "CAP_4bad04ec": {
   "en": "Manipulation Simulator Setup",
   "zh": "操作仿真器搭建",
   "level": "l3"
  },
  "CAP_b92dfb3a": {
   "en": "Dynamics Randomization Configuration",
   "zh": "动力学随机化配置",
   "level": "l3"
  },
  "CAP_1c604de9": {
   "en": "Calibration Error Robustness Evaluation",
   "zh": "标定误差鲁棒性评估",
   "level": "l3"
  },
  "CAP_9aa7d5fe": {
   "en": "Sim Rendering and Real Image Collection",
   "zh": "仿真渲染与真实图采集",
   "level": "l2"
  },
  "CAP_83f6163a": {
   "en": "Image Translation and Policy Training",
   "zh": "图像翻译与策略训练",
   "level": "l2"
  },
  "CAP_af754518": {
   "en": "Online Translation Deployment and Evaluation",
   "zh": "在线翻译部署与评估",
   "level": "l2"
  },
  "CAP_e70e5e28": {
   "en": "Sim Rendering with Annotation",
   "zh": "仿真渲染图采集",
   "level": "l3"
  },
  "CAP_ea80dfd0": {
   "en": "Adversarial Image Translation Training",
   "zh": "对抗式图像翻译模型训练",
   "level": "l3"
  },
  "CAP_2bc18445": {
   "en": "Online Translation Real Robot Deployment",
   "zh": "含在线翻译的真机部署",
   "level": "l3"
  },
  "CAP_f7834f87": {
   "en": "Visual Gap Bridging Evaluation",
   "zh": "视觉gap弥合效果评估",
   "level": "l3"
  },
  "CAP_09c310a8": {
   "en": "Reconstructed Sim Policy Training",
   "zh": "重建场景策略训练",
   "level": "l2"
  },
  "CAP_f58dc46a": {
   "en": "Reconstructed Scene Deployment and Evaluation",
   "zh": "重建场景部署与评估",
   "level": "l2"
  },
  "CAP_abe202a3": {
   "en": "Neural Scene Reconstruction from Images",
   "zh": "图像神经场景重建",
   "level": "l2"
  },
  "CAP_1ff97310": {
   "en": "Real Scene Multi-View Data Collection",
   "zh": "真实场景多视角数据采集",
   "level": "l3"
  },
  "CAP_846d687a": {
   "en": "3D Scene Reconstruction and Digital Twin",
   "zh": "3D场景重建与数字孪生构建",
   "level": "l3"
  },
  "CAP_a32a0e4c": {
   "en": "Privileged Info Expert Demonstration Collection",
   "zh": "特权信息专家示范采集",
   "level": "l3"
  },
  "CAP_920852d5": {
   "en": "Reconstructed Scene IL Policy Training",
   "zh": "重建场景IL策略训练",
   "level": "l3"
  },
  "CAP_d55da4a2": {
   "en": "Reconstructed Scene Zero-Shot Deployment",
   "zh": "重建场景零样本真机部署",
   "level": "l3"
  },
  "CAP_343d161c": {
   "en": "Single-Point Grasp Execution",
   "zh": "单点抓取执行",
   "level": "l2"
  },
  "CAP_d921fae2": {
   "en": "Industrial Fabric Segmentation",
   "zh": "工业织物分割",
   "level": "l2"
  },
  "CAP_37baffed": {
   "en": "Contour-Based Grasp Localization",
   "zh": "轮廓抓取点定位",
   "level": "l2"
  },
  "CAP_1012e9d0": {
   "en": "Grasp Point Scoring",
   "zh": "抓取点评分",
   "level": "l3"
  },
  "CAP_784b8943": {
   "en": "Color Space Conversion",
   "zh": "颜色空间转换",
   "level": "l3"
  },
  "CAP_b94abeca": {
   "en": "Fabric Region Segmentation",
   "zh": "织物区域分割",
   "level": "l3"
  },
  "CAP_16b08941": {
   "en": "Industrial Grasp Point Localization",
   "zh": "工业抓取点定位",
   "level": "l3"
  },
  "CAP_d0e5ae9a": {
   "en": "Closed-Form DLS IK Pipeline",
   "zh": "闭式阻尼最小二乘逆运动学管线",
   "level": "l2"
  },
  "CAP_19e5df91": {
   "en": "DLS Forward Kinematics Setup",
   "zh": "DLS 前向运动学与雅可比计算",
   "level": "l3"
  },
  "CAP_b533ee37": {
   "en": "DLS Damping Parameter Configuration",
   "zh": "DLS 阻尼参数与权重配置",
   "level": "l3"
  },
  "CAP_c8c3f4fb": {
   "en": "Closed-Form DLS Velocity Resolution",
   "zh": "闭式 DLS 速度反解",
   "level": "l3"
  },
  "CAP_f20dcdd1": {
   "en": "DLS Velocity Integration and Dispatch",
   "zh": "DLS 速度积分与指令下发",
   "level": "l3"
  },
  "CAP_8299a7f5": {
   "en": "SVD Selectively Damped Least Squares Pipeline",
   "zh": "SVD 选择性阻尼最小二乘管线",
   "level": "l2"
  },
  "CAP_264feb31": {
   "en": "Jacobian SVD Decomposition",
   "zh": "雅可比完整 SVD 分解",
   "level": "l3"
  },
  "CAP_afbb2e07": {
   "en": "Selectively Damped Least Squares Resolution",
   "zh": "选择性阻尼最小二乘反解",
   "level": "l3"
  },
  "CAP_e671101b": {
   "en": "SDLS Target Distance Clamping",
   "zh": "SDLS 目标距离 ClampMag 预处理",
   "level": "l3"
  },
  "CAP_56429dd5": {
   "en": "QP Regularized Differential IK Pipeline",
   "zh": "QP 正则化差分逆运动学管线",
   "level": "l2"
  },
  "CAP_9f4c7652": {
   "en": "IK Constraint Matrix Computation",
   "zh": "IK 约束矩阵计算",
   "level": "l3"
  },
  "CAP_0ca6cbe3": {
   "en": "QP IK Velocity Integration and Dispatch",
   "zh": "QP IK 速度积分与指令下发",
   "level": "l3"
  },
  "CAP_13f888c5": {
   "en": "Situation Pattern Ontology Modeling",
   "zh": "情境模式本体建模",
   "level": "l2"
  },
  "CAP_e2940d22": {
   "en": "Situation Class Hierarchy Definition",
   "zh": "情境类层次定义",
   "level": "l3"
  },
  "CAP_be20f668": {
   "en": "SWRL Trigger Condition Rule Authoring",
   "zh": "SWRL触发条件规则编写",
   "level": "l3"
  },
  "CAP_1cd2c0d9": {
   "en": "Situation Trigger Event Emission",
   "zh": "情境触发事件发射",
   "level": "l2"
  },
  "CAP_72722492": {
   "en": "Situation Trigger Event Construction",
   "zh": "情境触发事件构造",
   "level": "l3"
  },
  "CAP_d4a0169d": {
   "en": "Situation Condition Node Design",
   "zh": "情境条件节点设计",
   "level": "l2"
  },
  "CAP_ca413307": {
   "en": "Condition Predicate Design",
   "zh": "条件谓词设计",
   "level": "l3"
  },
  "CAP_7e9800eb": {
   "en": "Composite Situation BT Composition",
   "zh": "复合情境行为树组合",
   "level": "l3"
  },
  "CAP_0486dcf0": {
   "en": "BT Reactive Condition Evaluation",
   "zh": "行为树响应式条件求值",
   "level": "l3"
  },
  "CAP_f096a914": {
   "en": "ROS State Event Stream Ingestion",
   "zh": "ROS状态事件流接入",
   "level": "l3"
  },
  "CAP_dc7b4d27": {
   "en": "ECA Trigger Event Publishing",
   "zh": "ECA触发事件发布",
   "level": "l3"
  },
  "CAP_8d97aae9": {
   "en": "Situation Normalcy Model Training",
   "zh": "情境正常性模型训练",
   "level": "l2"
  },
  "CAP_456f11e4": {
   "en": "Normalcy Model Selection and Training",
   "zh": "正常性模型选择与训练",
   "level": "l3"
  },
  "CAP_40688544": {
   "en": "Online Situation Feature Extraction",
   "zh": "在线情境特征提取",
   "level": "l3"
  },
  "CAP_c582230e": {
   "en": "Risk Gated Trigger Emission",
   "zh": "风险门控触发发射",
   "level": "l3"
  },
  "CAP_9c9add86": {
   "en": "Discrete Event Sequence Pattern Mining",
   "zh": "离散事件序列模式挖掘",
   "level": "l3"
  },
  "CAP_486a7994": {
   "en": "Novelty Threshold Decision",
   "zh": "新颖性阈值决策",
   "level": "l3"
  },
  "CAP_51c58ae9": {
   "en": "Visual Situation Semantic Role Labeling",
   "zh": "视觉情境语义角色识别",
   "level": "l2"
  },
  "CAP_7a0c51e3": {
   "en": "Situation Verb Classification",
   "zh": "情境动词分类",
   "level": "l3"
  },
  "CAP_932a2415": {
   "en": "Role-aware Noun Prediction",
   "zh": "角色感知名词预测",
   "level": "l3"
  },
  "CAP_feaa65c0": {
   "en": "CRF Joint Decoding for Situation Frame",
   "zh": "情境帧 CRF 联合解码",
   "level": "l3"
  },
  "CAP_16924ae1": {
   "en": "Grounded Next-Event Inference",
   "zh": "情境驱动下一事件推断",
   "level": "l2"
  },
  "CAP_69b0aed9": {
   "en": "Situation Prefix Text Encoding",
   "zh": "情境前缀文本编码",
   "level": "l3"
  },
  "CAP_52d9fcc9": {
   "en": "Multi-choice Event Candidate Scoring",
   "zh": "多选事件候选评分",
   "level": "l3"
  },
  "CAP_ea52366f": {
   "en": "Adversarial Filtering for Dataset De-biasing",
   "zh": "数据集去偏对抗过滤",
   "level": "l3"
  },
  "CAP_29e802eb": {
   "en": "Top-1 Next Event Selection",
   "zh": "Top-1 下一事件选择",
   "level": "l3"
  },
  "CAP_93de5c08": {
   "en": "Abductive Situation Bridging",
   "zh": "溯因情境桥接解释",
   "level": "l2"
  },
  "CAP_1093d032": {
   "en": "Abductive NLI Multi-choice Scoring",
   "zh": "溯因 NLI 多选评分",
   "level": "l3"
  },
  "CAP_898824d4": {
   "en": "Abductive NLG Conditional Generation",
   "zh": "溯因 NLG 条件生成",
   "level": "l3"
  },
  "CAP_3749547b": {
   "en": "Best Hypothesis Selection",
   "zh": "最优假设选择",
   "level": "l3"
  },
  "CAP_c63bfeb2": {
   "en": "Visual Situation Cognition",
   "zh": "视觉情境认知推理",
   "level": "l2"
  },
  "CAP_dc989082": {
   "en": "Visual Feature Extraction (Detectron2)",
   "zh": "Detectron2 视觉特征提取",
   "level": "l3"
  },
  "CAP_00d2977a": {
   "en": "VCR Joint Q-A-R Reasoning",
   "zh": "VCR 联合问答推理",
   "level": "l3"
  },
  "CAP_4f8a2c1d": {
   "en": "Skeleton Heatmap Volume Action Recognition",
   "zh": "骨架热图体动作识别",
   "level": "l2"
  },
  "CAP_7e3b9a05": {
   "en": "Skeleton Heatmap Volume Generation",
   "zh": "骨架热图体生成",
   "level": "l3"
  },
  "CAP_2c6d8f47": {
   "en": "PoseC3D Heatmap Volume Inference",
   "zh": "PoseC3D 热图体推理",
   "level": "l3"
  },
  "CAP_9a1f4e3b": {
   "en": "Skeleton Heatmap Volume Evaluation",
   "zh": "骨架热图体评测",
   "level": "l3"
  },
  "CAP_6b0e7d32": {
   "en": "Skeleton RNN Sequence Action Recognition",
   "zh": "骨架序列循环网络动作识别",
   "level": "l2"
  },
  "CAP_3f5a8c19": {
   "en": "Skeleton Sequence Encoding",
   "zh": "骨架序列编码",
   "level": "l3"
  },
  "CAP_8d2c4e07": {
   "en": "Hierarchical RNN Action Inference",
   "zh": "层次循环网络动作推理",
   "level": "l3"
  },
  "CAP_5b7e1a93": {
   "en": "Skeleton RNN Sequence Evaluation",
   "zh": "骨架序列循环网络评测",
   "level": "l3"
  },
  "CAP_b77d5fbb": {
   "en": "Sketch Synthesis Data Generation",
   "zh": "草图合成数据生成",
   "level": "l2"
  },
  "CAP_c811a376": {
   "en": "Sketch Conditioned Policy Training",
   "zh": "草图条件化策略训练",
   "level": "l2"
  },
  "CAP_7f350335": {
   "en": "Sketch Driven Deployment",
   "zh": "草图驱动部署执行",
   "level": "l2"
  },
  "CAP_0a008ab4": {
   "en": "Sketch Overlay Composition",
   "zh": "草图叠加合成",
   "level": "l2"
  },
  "CAP_bff42689": {
   "en": "VLM Sketch Semantic Understanding",
   "zh": "VLM 草图语义理解",
   "level": "l2"
  },
  "CAP_766fca50": {
   "en": "Sketch Guided Motion Planning",
   "zh": "草图引导运动规划",
   "level": "l2"
  },
  "CAP_8e705616": {
   "en": "2D Sketch Structural Parsing",
   "zh": "2D 草图结构化解析",
   "level": "l2"
  },
  "CAP_3bb6a8c9": {
   "en": "Sketch to 3D Pose Grounding",
   "zh": "草图到 3D 位姿接地",
   "level": "l2"
  },
  "CAP_781ee941": {
   "en": "Sketch Scene Goal Execution",
   "zh": "草图场景目标执行",
   "level": "l2"
  },
  "CAP_3652acd8": {
   "en": "Image to Sketch GAN Training",
   "zh": "图像到草图 GAN 训练",
   "level": "l3"
  },
  "CAP_6b2c5b22": {
   "en": "Sketch Style Augmentation",
   "zh": "草图风格增强",
   "level": "l3"
  },
  "CAP_0b8b8591": {
   "en": "Sketch-Observation Pair Construction",
   "zh": "草图-观测训练对构造",
   "level": "l3"
  },
  "CAP_27acae08": {
   "en": "Tokenized Action Policy Training",
   "zh": "离散动作策略训练",
   "level": "l3"
  },
  "CAP_262f0a89": {
   "en": "Hand Drawn Sketch Acquisition",
   "zh": "手绘草图采集",
   "level": "l3"
  },
  "CAP_eb8af20c": {
   "en": "Sketch Conditioned Action Rollout",
   "zh": "草图条件化动作推理",
   "level": "l3"
  },
  "CAP_0c7f5a76": {
   "en": "Observation Image Stream Acquisition",
   "zh": "观测图像流采集",
   "level": "l3"
  },
  "CAP_afb1d1d2": {
   "en": "Sketch Overlay Rendering",
   "zh": "草图叠加渲染",
   "level": "l3"
  },
  "CAP_9f039610": {
   "en": "VLM Shape Inference from Sketch",
   "zh": "VLM 草图形状推断",
   "level": "l3"
  },
  "CAP_99f525d0": {
   "en": "VLM Low-Level Task Inference",
   "zh": "VLM 低层任务推断",
   "level": "l3"
  },
  "CAP_0ac0f498": {
   "en": "Task-Level Motion Planning",
   "zh": "任务级运动规划",
   "level": "l3"
  },
  "CAP_462c6905": {
   "en": "Teleoperation Command Execution",
   "zh": "远程操作指令执行",
   "level": "l3"
  },
  "CAP_ba1a0124": {
   "en": "Sketch Element Segmentation",
   "zh": "草图元素分割",
   "level": "l3"
  },
  "CAP_aeb24bf8": {
   "en": "Abstract Relation Graph Construction",
   "zh": "抽象关系图构建",
   "level": "l3"
  },
  "CAP_1d91e646": {
   "en": "Compositional Diffusion Pose Generation",
   "zh": "组合式扩散位姿生成",
   "level": "l3"
  },
  "CAP_d066cd15": {
   "en": "Spatial Instruction Map Construction",
   "zh": "空间指令地图构建",
   "level": "l3"
  },
  "CAP_1f427ca6": {
   "en": "Goal Pose Specification",
   "zh": "目标位姿规约",
   "level": "l3"
  },
  "CAP_b5773994": {
   "en": "Scene Layout Conditioned Execution",
   "zh": "场景布局条件化执行",
   "level": "l3"
  },
  "CAP_3c032c2f": {
   "en": "Wheel Odometry Generation",
   "zh": "轮式里程计生成",
   "level": "l3"
  },
  "CAP_d9bb9852": {
   "en": "Wheel Encoder Preprocessing",
   "zh": "轮编码器预处理",
   "level": "l3"
  },
  "CAP_fa4c61c4": {
   "en": "Tracked Differential Kinematics with Slip Modeling",
   "zh": "滑移感知差速运动学",
   "level": "l3"
  },
  "CAP_97edcf62": {
   "en": "Innovation Residual Extraction",
   "zh": "创新量残差提取",
   "level": "l3"
  },
  "CAP_a5588c17": {
   "en": "Vehicle Planar Dynamics Modeling",
   "zh": "车辆平面动力学建模",
   "level": "l3"
  },
  "CAP_7f3a21c9": {
   "en": "ICR Locus Circular Maneuver Fitting",
   "zh": "ICR 圆弧工况拟合",
   "level": "l3"
  },
  "CAP_4b8e6d12": {
   "en": "Controller Calibration Parameter Writeback",
   "zh": "控制器标定参数写回",
   "level": "l3"
  },
  "CAP_9c2f58a3": {
   "en": "Online ICR Slip Parameter Augmentation",
   "zh": "在线 ICR 滑移参数增广",
   "level": "l3"
  },
  "CAP_1d6a47b8": {
   "en": "Slip Compensated Odometry Publish",
   "zh": "滑移补偿里程计发布",
   "level": "l3"
  },
  "CAP_8e3c92f4": {
   "en": "Slip Mapping Neural Network Inference",
   "zh": "滑移映射神经网络推理",
   "level": "l3"
  },
  "CAP_5b7d14e6": {
   "en": "Slip Dataset Collection and Training",
   "zh": "滑移数据集采集与训练",
   "level": "l3"
  },
  "CAP_2a9c63f1": {
   "en": "Ground Shear Resistance Modeling",
   "zh": "地面剪切阻力建模",
   "level": "l3"
  },
  "CAP_6f4b81d7": {
   "en": "Torque Allocation with Slip Limit",
   "zh": "带滑移限制的力矩分配",
   "level": "l3"
  },
  "CAP_6b1f5a7c": {
   "en": "High Level Offline RL Skill Chaining",
   "zh": "高层离线RL技能串联",
   "level": "l2"
  },
  "CAP_5ea8e305": {
   "en": "Long Horizon Skill Chain Sampling",
   "zh": "长时程技能链采样",
   "level": "l2"
  },
  "CAP_caadbe2c": {
   "en": "Adversarial Terminal State Regularization",
   "zh": "对抗式终端状态正则化",
   "level": "l3"
  },
  "CAP_9ad40463": {
   "en": "Dual Regularization for Skill Chaining",
   "zh": "技能链双重正则化",
   "level": "l3"
  },
  "CAP_3a6a9225": {
   "en": "Value Function Space State Abstraction",
   "zh": "价值函数空间状态抽象",
   "level": "l3"
  },
  "CAP_01afae84": {
   "en": "Atomic Skill Discovery from Demonstrations",
   "zh": "演示驱动的原子技能发现",
   "level": "l3"
  },
  "CAP_c5a9311c": {
   "en": "Semantic Contrastive Skill Alignment",
   "zh": "语义对比技能对齐",
   "level": "l3"
  },
  "CAP_9030e728": {
   "en": "Spatially-Aware Skill Chaining",
   "zh": "空间感知技能链",
   "level": "l3"
  },
  "CAP_5d52f109": {
   "en": "Rotation-Augmented Residual Skill Quantization",
   "zh": "旋转增强残差技能量化",
   "level": "l3"
  },
  "CAP_20751bfc": {
   "en": "Unsupervised Skill Mining from Demonstrations",
   "zh": "无监督技能挖掘",
   "level": "l3"
  },
  "CAP_efca8d29": {
   "en": "Lightweight Skill Router Fine-tuning",
   "zh": "轻量级技能路由器微调",
   "level": "l3"
  },
  "CAP_7aca0527": {
   "en": "Skill Success Prediction and Replanning",
   "zh": "技能成功预测与重规划",
   "level": "l3"
  },
  "CAP_d0579ec2": {
   "en": "KL Regularized Skill Space SAC",
   "zh": "KL 正则化潜空间 SAC 训练",
   "level": "l3"
  },
  "CAP_22742b95": {
   "en": "Object Point Cloud Goal Encoding",
   "zh": "物体点云目标条件编码",
   "level": "l3"
  },
  "CAP_ee1c2d87": {
   "en": "GeoCurriculum Progressive Training",
   "zh": "几何课程渐进训练",
   "level": "l2"
  },
  "CAP_21cb8353": {
   "en": "GeoCurriculum Geometry Partitioning",
   "zh": "几何课程复杂度划分",
   "level": "l3"
  },
  "CAP_e22173fa": {
   "en": "GeoCurriculum Progressive Transfer",
   "zh": "课程阶段渐进迁移",
   "level": "l3"
  },
  "CAP_ca38b96f": {
   "en": "Cross-Category Generalization Evaluation",
   "zh": "跨类别泛化评估",
   "level": "l3"
  },
  "CAP_17c69322": {
   "en": "Multimodal Prompt Task Synthesis",
   "zh": "多模态 prompt 任务合成",
   "level": "l2"
  },
  "CAP_4c920297": {
   "en": "VIMA Task Template Instantiation",
   "zh": "VIMA 任务模板实例化",
   "level": "l3"
  },
  "CAP_6e9dffd5": {
   "en": "Multimodal Prompt Token Serialization",
   "zh": "多模态 prompt token 序列化",
   "level": "l3"
  },
  "CAP_46aef469": {
   "en": "Cross-Attention Generalist Policy Training",
   "zh": "cross-attention 通才策略训练",
   "level": "l3"
  },
  "CAP_59985989": {
   "en": "Generalist 4Level Eval",
   "zh": "通才策略 4 级泛化评估",
   "level": "l3"
  },
  "CAP_f358cdc2": {
   "en": "Category-Level Semantic Keypoint Extraction",
   "zh": "类别级语义关键点提取",
   "level": "l2"
  },
  "CAP_ea0f0770": {
   "en": "Keypoint Geometric Alignment",
   "zh": "关键点几何对齐",
   "level": "l3"
  },
  "CAP_86a86b12": {
   "en": "Task-Oriented Grasp Proposal",
   "zh": "任务导向抓取候选生成",
   "level": "l3"
  },
  "CAP_7a3f2e1d": {
   "en": "Surgical Skill Auto-Assessment",
   "zh": "手术技能自动评估",
   "level": "l2"
  },
  "CAP_7b8c9d0e": {
   "en": "Behavioral Metric Proficiency Estimation",
   "zh": "行为指标熟练度估计",
   "level": "l2"
  },
  "CAP_95a42e56": {
   "en": "Adaptive Autonomy Allocation",
   "zh": "自适应自主度分配",
   "level": "l1"
  },
  "CAP_8d1e2f3a": {
   "en": "Kinematic Skill Feature Extraction",
   "zh": "运动学技能特征提取",
   "level": "l3"
  },
  "CAP_6c7d8e9f": {
   "en": "Surgical Skill Level Classification",
   "zh": "手术技能等级分类",
   "level": "l3"
  },
  "CAP_4e5f6a7b": {
   "en": "Operator Proficiency Level Estimation",
   "zh": "操作者熟练度等级估计",
   "level": "l3"
  },
  "CAP_9ad9b56c": {
   "en": "Skill Acquisition Curve Tracking",
   "zh": "技能习得曲线追踪",
   "level": "l3"
  },
  "CAP_8500a555": {
   "en": "LLM Semantic Prior Skill Scoring",
   "zh": "LLM 语义先验技能评分",
   "level": "l3"
  },
  "CAP_b354bcf1": {
   "en": "Skill Taxonomy Construction",
   "zh": "技能分类体系构建",
   "level": "l3"
  },
  "CAP_4f0f8b86": {
   "en": "Offline Experience Data Collection",
   "zh": "离线经验数据收集",
   "level": "l3"
  },
  "CAP_cd4b79d7": {
   "en": "Latent Skill Decoding and Execution",
   "zh": "潜变量技能解码执行",
   "level": "l3"
  },
  "CAP_7a193edf": {
   "en": "Prior-Regularized Downstream RL",
   "zh": "先验正则化下游 RL 学习",
   "level": "l3"
  },
  "CAP_b328892f": {
   "en": "Same-Embodiment Multi-Task Policy Pretraining Transfer",
   "zh": "同本体多任务策略预训练迁移",
   "level": "l2"
  },
  "CAP_8cceeb6c": {
   "en": "nearest neighbor correspondence search",
   "zh": "点云最近邻对应点搜索",
   "level": "l3"
  },
  "CAP_ad3496a9": {
   "en": "Phase S4 Registration",
   "zh": "配准优化阶段",
   "level": "l2"
  },
  "CAP_c0b87ad4": {
   "en": "kpconv feature extraction",
   "zh": "KPConv点云特征提取",
   "level": "l3"
  },
  "CAP_69284316": {
   "en": "cross point cloud transformer",
   "zh": "跨点云Transformer特征交互",
   "level": "l3"
  },
  "CAP_fe2f5ce3": {
   "en": "sinkhorn correspondence matching",
   "zh": "可微最优传输匹配",
   "level": "l3"
  },
  "CAP_0e8d711f": {
   "en": "correspondence svd pose solver",
   "zh": "对应点SVD位姿求解",
   "level": "l3"
  },
  "CAP_1ef980bc": {
   "en": "ransac robust registration",
   "zh": "RANSAC鲁棒配准",
   "level": "l3"
  },
  "CAP_d46ba236": {
   "en": "registration quality verification",
   "zh": "配准质量验证",
   "level": "l3"
  },
  "CAP_5049d6db": {
   "en": "Phase L3 Pruning",
   "zh": "一致性过滤提纯阶段",
   "level": "l2"
  },
  "CAP_13d2dde2": {
   "en": "Phase L3 Global Pose",
   "zh": "全局配准位姿估计阶段",
   "level": "l3"
  },
  "CAP_947650b6": {
   "en": "Contact Friction Coefficient Estimation",
   "zh": "接触摩擦系数估计",
   "level": "l3"
  },
  "CAP_70d50012": {
   "en": "Limit Surface Kinematic Reduction",
   "zh": "极限面运动学约简",
   "level": "l3"
  },
  "CAP_5761b01f": {
   "en": "Algebraic Friction-Bounded Force Allocation",
   "zh": "摩擦边界代数力分配",
   "level": "l3"
  },
  "CAP_090bc701": {
   "en": "Operational Space Impedance Tracking Control",
   "zh": "操作空间阻抗跟踪控制",
   "level": "l3"
  },
  "CAP_6a8505bd": {
   "en": "Friction Model Feedforward Compensation",
   "zh": "摩擦模型前馈补偿",
   "level": "l3"
  },
  "CAP_2c4b1908": {
   "en": "Friction-Randomized Sliding Simulation",
   "zh": "摩擦随机化滑动仿真",
   "level": "l3"
  },
  "CAP_f4c1e0df": {
   "en": "DDPG Sliding Policy Training",
   "zh": "DDPG 滑动策略训练",
   "level": "l3"
  },
  "CAP_b02a4d0f": {
   "en": "Tactile-Guided Controlled Sliding",
   "zh": "触觉引导受控滑动",
   "level": "l2"
  },
  "CAP_215ca059": {
   "en": "Shear-Invariant Feature Extraction",
   "zh": "剪切不变特征提取",
   "level": "l3"
  },
  "CAP_5f58a48c": {
   "en": "Sliding Precision Placement",
   "zh": "滑动放置精密执行",
   "level": "l3"
  },
  "CAP_1478c531": {
   "en": "Reference Velocity Sliding Variable Construction",
   "zh": "参考速度滑动变量构造",
   "level": "l3"
  },
  "CAP_52b8ecf9": {
   "en": "Conventional SMC Law Synthesis",
   "zh": "常规滑模控制律合成",
   "level": "l2"
  },
  "CAP_967017b8": {
   "en": "Sliding Mode Reaching Law Design",
   "zh": "滑模到达律设计",
   "level": "l3"
  },
  "CAP_50d7516d": {
   "en": "Chattering Suppression",
   "zh": "抖振抑制",
   "level": "l3"
  },
  "CAP_2f6704bd": {
   "en": "Super-Twisting Relative Degree Verification",
   "zh": "超螺旋相对阶验证",
   "level": "l3"
  },
  "CAP_90015201": {
   "en": "Super-Twisting Law Synthesis",
   "zh": "超螺旋控制律合成",
   "level": "l2"
  },
  "CAP_2b6c2281": {
   "en": "Super-Twisting Control Law",
   "zh": "超螺旋控制律",
   "level": "l3"
  },
  "CAP_9519f811": {
   "en": "Super-Twisting Gain Design and Lyapunov Stability",
   "zh": "超螺旋增益设计与李雅普诺夫稳定性",
   "level": "l3"
  },
  "CAP_8ac9ff95": {
   "en": "Adaptive SMC Sliding Variable Construction",
   "zh": "自适应滑模变量构造",
   "level": "l3"
  },
  "CAP_760630f0": {
   "en": "Adaptive SMC Law Synthesis with Gain Tuning",
   "zh": "自适应滑模控制律合成与增益整定",
   "level": "l2"
  },
  "CAP_9928bec5": {
   "en": "Passivity Adaptive Parameter Update",
   "zh": "无源性自适应参数更新",
   "level": "l3"
  },
  "CAP_cbf5ff9c": {
   "en": "Object Friction Parameter Identification",
   "zh": "物体摩擦参数辨识",
   "level": "l3"
  },
  "CAP_a5f771df": {
   "en": "Limit Surface Model Construction",
   "zh": "极限面摩擦模型构建",
   "level": "l3"
  },
  "CAP_6d4766a1": {
   "en": "Quasi-Static Sliding Dynamics Modeling",
   "zh": "准静态滑动力学建模",
   "level": "l3"
  },
  "CAP_58a53201": {
   "en": "Sliding Controllability Analysis",
   "zh": "滑动运动可控性分析",
   "level": "l3"
  },
  "CAP_144f4eb3": {
   "en": "Sliding Motion Primitive Generation",
   "zh": "滑动运动基元生成",
   "level": "l3"
  },
  "CAP_8e4eb1a3": {
   "en": "Online Pose Error Estimation",
   "zh": "在线姿态误差估计",
   "level": "l3"
  },
  "CAP_6a8a01a3": {
   "en": "Support Surface Mesh Acquisition",
   "zh": "支撑面网格采集",
   "level": "l3"
  },
  "CAP_c002e94b": {
   "en": "Tactile Image Stream Acquisition",
   "zh": "触觉图像流采集",
   "level": "l3"
  },
  "CAP_aa90812f": {
   "en": "GelSight Tactile Encoding",
   "zh": "GelSight 触觉编码",
   "level": "l3"
  },
  "CAP_be0aec98": {
   "en": "Slip Direction Estimation",
   "zh": "滑移方向估计",
   "level": "l3"
  },
  "CAP_030db7ec": {
   "en": "Reactive Slip Force Control",
   "zh": "反应式滑移力控",
   "level": "l3"
  },
  "CAP_6024b5ff": {
   "en": "Tactile Grasp Stability Prediction",
   "zh": "触觉抓取稳定性预测",
   "level": "l3"
  },
  "CAP_80fb058e": {
   "en": "Multimodal Visuotactile Proprioceptive Acquisition",
   "zh": "多模态视触觉本体感知采集",
   "level": "l3"
  },
  "CAP_d0e92662": {
   "en": "Sliding Action Policy Parameterization",
   "zh": "滑动动作策略参数化",
   "level": "l3"
  },
  "CAP_4d08b65c": {
   "en": "Sliding Reward Function Design",
   "zh": "滑动奖励函数设计",
   "level": "l3"
  },
  "CAP_1a4c8e6d": {
   "en": "Tactile Simulation Environment Setup",
   "zh": "触觉仿真环境搭建",
   "level": "l3"
  },
  "CAP_0d4b2585": {
   "en": "Sliding Domain Randomization",
   "zh": "滑动域随机化",
   "level": "l3"
  },
  "CAP_042a174f": {
   "en": "PPO Sliding Policy Training",
   "zh": "PPO 滑动策略训练",
   "level": "l3"
  },
  "CAP_0b851107": {
   "en": "Gravity Compensation and Contact Force Extraction",
   "zh": "重力补偿与接触力提取",
   "level": "l3"
  },
  "CAP_a2ac846c": {
   "en": "Coulomb Model Slip Detection",
   "zh": "摩擦模型滑移检测",
   "level": "l2"
  },
  "CAP_0154e347": {
   "en": "Force Decomposition",
   "zh": "力分解",
   "level": "l3"
  },
  "CAP_960d3a7b": {
   "en": "Online Friction Coefficient Estimation",
   "zh": "在线摩擦系数估计",
   "level": "l3"
  },
  "CAP_9bee18f0": {
   "en": "Coulomb Force Ratio Slip Detection",
   "zh": "Coulomb 力比滑移检测",
   "level": "l3"
  },
  "CAP_43d968d7": {
   "en": "Reactive Grip Force Control",
   "zh": "滑移检测与反应式力控",
   "level": "l2"
  },
  "CAP_c7cfb674": {
   "en": "Slip Avoidance Control",
   "zh": "防滑姿态维持控制",
   "level": "l3"
  },
  "CAP_af264dc9": {
   "en": "Tactile Image Processing Pipeline",
   "zh": "光学触觉图像管线",
   "level": "l2"
  },
  "CAP_85fce95f": {
   "en": "Marker Displacement Tracking",
   "zh": "Marker 位移跟踪",
   "level": "l3"
  },
  "CAP_fb2f343d": {
   "en": "Displacement Field Computation",
   "zh": "密集位移场计算",
   "level": "l3"
  },
  "CAP_80f2ed0e": {
   "en": "Tactile 3D Reconstruction",
   "zh": "触觉 3D 点云重建",
   "level": "l3"
  },
  "CAP_b544032c": {
   "en": "Optical Incipient Slip Detection",
   "zh": "光学微滑移检测",
   "level": "l2"
  },
  "CAP_7d8173ea": {
   "en": "Rigid Motion Estimation",
   "zh": "刚性运动场预估",
   "level": "l3"
  },
  "CAP_638647d2": {
   "en": "Slip Field Computation",
   "zh": "残差滑移场计算",
   "level": "l3"
  },
  "CAP_43956f7b": {
   "en": "Optical Slip Feedback Regulation",
   "zh": "光学滑移自适应调节",
   "level": "l3"
  },
  "CAP_6529089b": {
   "en": "Multi-modal Sync and Preprocess",
   "zh": "多模态数据采集与预处理",
   "level": "l2"
  },
  "CAP_df7eb306": {
   "en": "Multi-modal Preprocessing",
   "zh": "多模态数据归一化增强",
   "level": "l3"
  },
  "CAP_5be0d364": {
   "en": "Single Modal Backbone",
   "zh": "单模态特征提取骨干",
   "level": "l3"
  },
  "CAP_9085d4f3": {
   "en": "DNN Slip Classification",
   "zh": "DNN 滑移判别全连接",
   "level": "l3"
  },
  "CAP_b2414fc8": {
   "en": "Slip Post Processing",
   "zh": "滑移置信度时序平滑",
   "level": "l3"
  },
  "CAP_02ba992b": {
   "en": "Neural Force Control Policy",
   "zh": "神经力控策略执行",
   "level": "l3"
  },
  "CAP_41299c79": {
   "en": "Vibration Spectrum Slip Feature Extraction",
   "zh": "振动频谱滑移特征提取",
   "level": "l3"
  },
  "CAP_e01c57f8": {
   "en": "Desired Grip Force Trajectory Generation",
   "zh": "期望夹持力轨迹生成",
   "level": "l3"
  },
  "CAP_017075ed": {
   "en": "Slip Risk Grading",
   "zh": "滑移风险分级",
   "level": "l3"
  },
  "CAP_9d87c6e1": {
   "en": "Slip Event Trigger State Machine",
   "zh": "滑移事件触发状态机",
   "level": "l3"
  },
  "CAP_df100619": {
   "en": "Multi-Scale Temporal Slip Modeling",
   "zh": "多尺度时序滑移建模",
   "level": "l3"
  },
  "CAP_5909e121": {
   "en": "Online Inference Regrasp Impedance Control Closed Loop",
   "zh": "在线推理重抓阻抗控制闭环",
   "level": "l3"
  },
  "CAP_2a7e7f3a": {
   "en": "Tactile Exploration Action Planning",
   "zh": "触觉探索动作规划",
   "level": "l3"
  },
  "CAP_8ef205a1": {
   "en": "BioTac Multi-Modal Sensor Setup",
   "zh": "BioTac 多模态传感器配置",
   "level": "l3"
  },
  "CAP_94a22db9": {
   "en": "High-Frequency Vibration Signal Acquisition",
   "zh": "高频振动信号采集",
   "level": "l3"
  },
  "CAP_c423bed9": {
   "en": "Visuo-Tactile Slip Feature Aggregation",
   "zh": "视触觉滑移特征聚合",
   "level": "l3"
  },
  "CAP_96882c51": {
   "en": "Slope-Aware Traversability Path Planning",
   "zh": "坡面感知可通行性路径规划",
   "level": "l2"
  },
  "CAP_2ed22025": {
   "en": "Platform Slope Cost Calibration",
   "zh": "平台特化坡度代价标定",
   "level": "l3"
  },
  "CAP_1489a262": {
   "en": "Slope Weighted Costmap Layer Assembly",
   "zh": "坡度加权代价地图层组装",
   "level": "l3"
  },
  "CAP_f9904347": {
   "en": "Max Grade Constrained Global Planning",
   "zh": "最大坡度约束全局路径规划",
   "level": "l3"
  },
  "CAP_5f1d796c": {
   "en": "Predictive Velocity Scaling",
   "zh": "预测式速度缩放",
   "level": "l3"
  },
  "CAP_717a3ac8": {
   "en": "Slope Aware MPPI Local Control",
   "zh": "坡度感知 MPPI 局部控制",
   "level": "l3"
  },
  "CAP_8e9a74ef": {
   "en": "Controller Velocity Scaling",
   "zh": "控制器速度缩放",
   "level": "l3"
  },
  "CAP_762a39e7": {
   "en": "Slope Adaptive Legged Locomotion Control",
   "zh": "坡度自适应足式运动控制",
   "level": "l2"
  },
  "CAP_bb1105cd": {
   "en": "Terrain-Adaptive Body Attitude Reference",
   "zh": "地形自适应基座姿态参考生成",
   "level": "l3"
  },
  "CAP_5db3f67f": {
   "en": "Controller Parameter Dynamic Update",
   "zh": "控制器参数动态更新",
   "level": "l3"
  },
  "CAP_2d912cbb": {
   "en": "Vehicle Slope Safety Navigation",
   "zh": "车辆坡面安全导航",
   "level": "l2"
  },
  "CAP_def8c5e8": {
   "en": "Vehicle IMU Attitude Acquisition",
   "zh": "车辆 IMU 姿态采集",
   "level": "l3"
  },
  "CAP_52214daf": {
   "en": "Vehicle Roll Pitch EKF Estimation",
   "zh": "车辆横滚俯仰 EKF 估计",
   "level": "l3"
  },
  "CAP_823fdbd5": {
   "en": "Force-Angle Margin Computation",
   "zh": "Force-Angle 倾覆裕度计算",
   "level": "l3"
  },
  "CAP_d74e0910": {
   "en": "Slope Velocity Scaling Law",
   "zh": "坡面速度节流律",
   "level": "l3"
  },
  "CAP_b86f3b4f": {
   "en": "Switchback Path Generation",
   "zh": "陡坡之字形路径生成",
   "level": "l3"
  },
  "CAP_7ea97300": {
   "en": "Slope Constrained Path Replanning",
   "zh": "坡度约束路径重规划",
   "level": "l3"
  },
  "CAP_d249911a": {
   "en": "Tip Over Emergency Stop",
   "zh": "倾覆紧急停车",
   "level": "l3"
  },
  "CAP_0d6a2677": {
   "en": "Nav2 Slope Safety Layer Integration",
   "zh": "Nav2 坡面安全层集成",
   "level": "l3"
  },
  "CAP_cb0d292d": {
   "en": "Slicing Aided Hyper Inference Pipeline",
   "zh": "切片辅助超推理管线",
   "level": "l2"
  },
  "CAP_d7f41a51": {
   "en": "Slice Grid Generation",
   "zh": "切片网格生成",
   "level": "l3"
  },
  "CAP_2986089e": {
   "en": "Per-Slice Detection Inference",
   "zh": "逐切片检测推理",
   "level": "l3"
  },
  "CAP_251fa7dd": {
   "en": "Slicing Fine-tuning Training",
   "zh": "切片微调训练",
   "level": "l3"
  },
  "CAP_5f2e8a1b": {
   "en": "Multi-Scale High-Resolution Feature Pyramid Detection",
   "zh": "多尺度高分辨率特征金字塔检测",
   "level": "l2"
  },
  "CAP_9c3e7d2f": {
   "en": "High-Resolution P2 Detection Head",
   "zh": "高分辨率P2检测头",
   "level": "l3"
  },
  "CAP_4b7a1c3e": {
   "en": "Gaussian Receptive Field Label Assignment",
   "zh": "高斯感受野标签分配",
   "level": "l3"
  },
  "CAP_04d536f5": {
   "en": "Cluster Density Map Guided Crop-and-Detect",
   "zh": "聚类密度图引导裁剪检测",
   "level": "l2"
  },
  "CAP_5d35db07": {
   "en": "Cluster Region Prediction",
   "zh": "目标聚集区域预测",
   "level": "l3"
  },
  "CAP_dca8eb74": {
   "en": "Content-Aware Chip Cropping",
   "zh": "内容感知图像裁剪",
   "level": "l3"
  },
  "CAP_678dbad9": {
   "en": "Chip-Scale Adaptive Detection",
   "zh": "Chip 自适应尺度检测",
   "level": "l3"
  },
  "CAP_e4b8d6f3": {
   "en": "FDS Scene and Mesh Definition",
   "zh": "FDS场景与网格定义",
   "level": "l3"
  },
  "CAP_1c336da8": {
   "en": "FDS Fire Source and Boundary Config",
   "zh": "FDS火源与边界条件配置",
   "level": "l2"
  },
  "CAP_c2a9e7b4": {
   "en": "Fire Source and HRR Definition",
   "zh": "火源与热释放率定义",
   "level": "l3"
  },
  "CAP_8ad83458": {
   "en": "FDS Ventilation and Boundary Condition Setup",
   "zh": "FDS通风与边界条件设置",
   "level": "l3"
  },
  "CAP_b6e4c8a2": {
   "en": "FDS LES Smoke Transport Solve",
   "zh": "FDS LES烟雾热传输求解",
   "level": "l3"
  },
  "CAP_91c927ac": {
   "en": "FDS Visualization and Data Export",
   "zh": "FDS可视化与数据导出",
   "level": "l2"
  },
  "CAP_a3d7e9f1": {
   "en": "Smokeview Smoke Layer Visualization",
   "zh": "Smokeview烟雾分层可视化",
   "level": "l3"
  },
  "CAP_422991fd": {
   "en": "Smoke Simulation Data Export for Robot Integration",
   "zh": "烟雾仿真数据导出与机器人集成",
   "level": "l3"
  },
  "CAP_f97c4520": {
   "en": "OpenFOAM Mesh and Airflow Solve",
   "zh": "OpenFOAM网格与气流场求解",
   "level": "l2"
  },
  "CAP_2eb12578": {
   "en": "OpenFOAM Dust Dispersion Solve",
   "zh": "OpenFOAM粉尘扩散求解",
   "level": "l2"
  },
  "CAP_c7d2e5b9": {
   "en": "Dust Source and Dispersion Configuration",
   "zh": "粉尘源与扩散模型配置",
   "level": "l3"
  },
  "CAP_a8f3c6d1": {
   "en": "Drift-Flux Eulerian Transport Solve",
   "zh": "漂移通量欧拉传输求解",
   "level": "l3"
  },
  "CAP_b5e2d8a4": {
   "en": "Lagrangian Particle Cloud Tracking",
   "zh": "拉格朗日粒子云追踪",
   "level": "l3"
  },
  "CAP_d4c7f2e6": {
   "en": "Dust Concentration Field Visualization",
   "zh": "粉尘浓度场可视化",
   "level": "l3"
  },
  "CAP_c850102e": {
   "en": "MantaFlow Scene and Physics Config",
   "zh": "MantaFlow场景与物理配置",
   "level": "l2"
  },
  "CAP_f6a1c4e9": {
   "en": "MantaFlow Scene Definition",
   "zh": "MantaFlow场景定义",
   "level": "l3"
  },
  "CAP_a2c6e8b1": {
   "en": "Smoke Buoyancy and Turbulence Modeling",
   "zh": "烟雾浮力与湍流建模",
   "level": "l3"
  },
  "CAP_e9b3d7f5": {
   "en": "Eulerian Smoke Advection Projection Solve",
   "zh": "欧拉烟雾对流投影求解",
   "level": "l3"
  },
  "CAP_074d8c68": {
   "en": "MantaFlow Data Export and Robot Integration",
   "zh": "MantaFlow数据导出与机器人集成",
   "level": "l2"
  },
  "CAP_c5e9a7d2": {
   "en": "Smoke Volume Data Export",
   "zh": "烟雾体数据导出",
   "level": "l3"
  },
  "CAP_68acdbe7": {
   "en": "Smoke Volume Data Integration for Robot Simulator",
   "zh": "烟雾体积渲染集成到机器人仿真",
   "level": "l3"
  },
  "CAP_6ece5750": {
   "en": "Time-Space Tile Reservation",
   "zh": "时空格预约请求生成",
   "level": "l3"
  },
  "CAP_bc8dcd44": {
   "en": "Reservation-Based Smooth Crossing Phase",
   "zh": "预约式平滑通行阶段",
   "level": "l2"
  },
  "CAP_94eedc32": {
   "en": "Approach Speed Adjustment",
   "zh": "接近速度调整",
   "level": "l3"
  },
  "CAP_d423da77": {
   "en": "Non-stop Intersection Crossing",
   "zh": "无停顿交叉通行执行",
   "level": "l3"
  },
  "CAP_7b8323d2": {
   "en": "Smooth Passage Evaluation",
   "zh": "平滑通行评估",
   "level": "l3"
  },
  "CAP_8758bb69": {
   "en": "Reactive Intersection Sensing Phase",
   "zh": "反应式交叉感知阶段",
   "level": "l2"
  },
  "CAP_46a73984": {
   "en": "Intersection Approach Detection",
   "zh": "交叉口接近检测",
   "level": "l3"
  },
  "CAP_5ca92452": {
   "en": "ORCA LP Velocity Selection",
   "zh": "ORCA LP 速度选择",
   "level": "l3"
  },
  "CAP_e00b1b82": {
   "en": "HRVO Hybrid Half-plane Computation",
   "zh": "HRVO 混合半平面计算",
   "level": "l3"
  },
  "CAP_3f2cfb33": {
   "en": "HRVO Velocity Candidate Generation",
   "zh": "HRVO 速度候选生成",
   "level": "l3"
  },
  "CAP_1c99c188": {
   "en": "Velocity Smoothness Evaluation",
   "zh": "速度平滑度评估",
   "level": "l3"
  },
  "CAP_62026b71": {
   "en": "Learning-based Smooth Intersection Passing",
   "zh": "学习式平滑交叉通行",
   "level": "l1"
  },
  "CAP_7756fbe1": {
   "en": "Learning-Based Intersection Training Setup Phase",
   "zh": "学习式交叉训练环境搭建阶段",
   "level": "l2"
  },
  "CAP_670098ad": {
   "en": "Intersection Scenario Gym Setup",
   "zh": "交叉场景 Gym 环境搭建",
   "level": "l3"
  },
  "CAP_21490172": {
   "en": "Learned Smooth Policy Training And Deployment Phase",
   "zh": "学习式策略训练与部署阶段",
   "level": "l2"
  },
  "CAP_4c9ee18a": {
   "en": "Smooth Intersection Passing Evaluation",
   "zh": "平滑交叉通行评估",
   "level": "l3"
  },
  "CAP_811d6233": {
   "en": "Stitching Precondition Check",
   "zh": "拼接前置条件检查",
   "level": "l3"
  },
  "CAP_925c79ae": {
   "en": "Trajectory Point Matching",
   "zh": "轨迹点匹配",
   "level": "l3"
  },
  "CAP_79bd28b9": {
   "en": "Replan Deviation Gating",
   "zh": "重规划偏差门控",
   "level": "l3"
  },
  "CAP_cb4ef4bd": {
   "en": "TEB Warm Start",
   "zh": "TEB热启动",
   "level": "l3"
  },
  "CAP_6fc8baa9": {
   "en": "TEB Hypergraph Construction",
   "zh": "TEB超图构建",
   "level": "l3"
  },
  "CAP_fe8e945f": {
   "en": "TEB Kinodynamic Constraints",
   "zh": "TEB运动动力学约束",
   "level": "l3"
  },
  "CAP_eb4be992": {
   "en": "Polynomial Transition Generation",
   "zh": "多项式过渡段生成",
   "level": "l2"
  },
  "CAP_95eff6e5": {
   "en": "Quintic Coefficient Solver",
   "zh": "五次多项式系数求解",
   "level": "l3"
  },
  "CAP_4745b543": {
   "en": "Spline Orientation Transition",
   "zh": "样条姿态过渡",
   "level": "l3"
  },
  "CAP_8a3f2c91": {
   "en": "Trajectory Concatenation",
   "zh": "轨迹拼接",
   "level": "l3"
  },
  "CAP_a1e38aa5": {
   "en": "OTG Phase Detection",
   "zh": "OTG运动阶段检测",
   "level": "l3"
  },
  "CAP_5a687e48": {
   "en": "Multi-Axis Time Synchronization",
   "zh": "多轴时间同步",
   "level": "l3"
  },
  "CAP_1a15e5e4": {
   "en": "State Feedback Continuity",
   "zh": "状态反馈连续性",
   "level": "l3"
  },
  "CAP_2a3b4c01": {
   "en": "Snap-Fit Assembly Pipeline",
   "zh": "卡扣装配流水线",
   "level": "l1"
  },
  "CAP_2a3b4c02": {
   "en": "Force-Controlled Compliant Snap Assembly",
   "zh": "主动力控柔顺卡扣装配",
   "level": "l2"
  },
  "CAP_2a3b4c10": {
   "en": "Snap-Fit Part Grasping",
   "zh": "卡扣零件抓取",
   "level": "l3"
  },
  "CAP_2a3b4c11": {
   "en": "Visual Coarse Alignment for Snap Assembly",
   "zh": "卡扣装配视觉粗对准",
   "level": "l3"
  },
  "CAP_2a3b4c13": {
   "en": "Compliant Approach and Contact Establishment",
   "zh": "柔顺接近与接触建立",
   "level": "l3"
  },
  "CAP_2a3b4c14": {
   "en": "Force-Controlled Snap Insertion",
   "zh": "力控卡扣插入",
   "level": "l3"
  },
  "CAP_2a3b4c15": {
   "en": "Snap Force Profile Detection",
   "zh": "卡入力曲线检测",
   "level": "l3"
  },
  "CAP_2a3b4c16": {
   "en": "Snap-Fit Retention Force Verification",
   "zh": "卡扣保持力验证",
   "level": "l3"
  },
  "CAP_2a3b4c17": {
   "en": "Gripper Release and Safe Retract",
   "zh": "夹爪释放与安全退回",
   "level": "l3"
  },
  "CAP_2a3b4c18": {
   "en": "Compliant Gripper Passive Centering",
   "zh": "柔顺夹爪被动定心",
   "level": "l3"
  },
  "CAP_2a3b4c21": {
   "en": "Passive Snap Engagement",
   "zh": "被动卡扣卡入",
   "level": "l3"
  },
  "CAP_2a3b4c22": {
   "en": "Snap Passive Lock Detection",
   "zh": "卡扣被动锁止检测",
   "level": "l3"
  },
  "CAP_d05f8572": {
   "en": "Snap Assembly Simulation Environment",
   "zh": "卡扣装配仿真环境构建",
   "level": "l3"
  },
  "CAP_fd6dac85": {
   "en": "Snap Assembly Domain Randomization",
   "zh": "卡扣装配域随机化",
   "level": "l3"
  },
  "CAP_2e6e39ad": {
   "en": "Learning-Based Assembly Success Detection",
   "zh": "学习型装配成功检测",
   "level": "l3"
  },
  "CAP_32367af3": {
   "en": "Social Compliance Checking",
   "zh": "社交合规性检查",
   "level": "l2"
  },
  "CAP_d0a7cd63": {
   "en": "Appropriateness Threshold Check",
   "zh": "得体性阈值检查",
   "level": "l3"
  },
  "CAP_9ac82f29": {
   "en": "Social Violation Reporting",
   "zh": "社交违规报告",
   "level": "l3"
  },
  "CAP_ecc4bb22": {
   "en": "Behavior Data Collection",
   "zh": "行为数据采集",
   "level": "l2"
  },
  "CAP_f124d4c5": {
   "en": "Preference Elicitation",
   "zh": "偏好获取",
   "level": "l2"
  },
  "CAP_184345a9": {
   "en": "Reward Model Ensemble",
   "zh": "奖励模型集成",
   "level": "l3"
  },
  "CAP_6d35d4ad": {
   "en": "Learned Appropriateness Scoring",
   "zh": "学习型得体性评分",
   "level": "l2"
  },
  "CAP_529a2a35": {
   "en": "Reward-Based Plan Scoring",
   "zh": "基于奖励的计划评分",
   "level": "l3"
  },
  "CAP_1e2843cc": {
   "en": "Optimal Plan Selection",
   "zh": "最优计划选择",
   "level": "l3"
  },
  "CAP_dfd628a5": {
   "en": "Scene Text Description",
   "zh": "场景文本描述",
   "level": "l3"
  },
  "CAP_6f4c8db3": {
   "en": "Evaluation Prompt Design",
   "zh": "评估提示设计",
   "level": "l2"
  },
  "CAP_a4df468f": {
   "en": "Judging Rubric Design",
   "zh": "评判标尺设计",
   "level": "l3"
  },
  "CAP_d1be369c": {
   "en": "LLM Inference Execution",
   "zh": "LLM 推理执行",
   "level": "l3"
  },
  "CAP_9ddbfe1e": {
   "en": "Structured Output Parsing",
   "zh": "结构化输出解析",
   "level": "l3"
  },
  "CAP_0be81057": {
   "en": "Evaluation Postprocessing",
   "zh": "评估后处理",
   "level": "l2"
  },
  "CAP_bb36b12a": {
   "en": "Multi-Judge Aggregation",
   "zh": "多裁判聚合",
   "level": "l3"
  },
  "CAP_f6c0aced": {
   "en": "Social Compliance Monitoring",
   "zh": "社交合规监控",
   "level": "l3"
  },
  "CAP_49bcd0d9": {
   "en": "Contrastive Social Representation",
   "zh": "对比社交表示学习",
   "level": "l3"
  },
  "CAP_56f51d5c": {
   "en": "Predictive Uncertainty Estimation",
   "zh": "预测不确定性估计",
   "level": "l3"
  },
  "CAP_abe2a263cf": {
   "en": "Predictive Motion Planning",
   "zh": "预测式运动规划",
   "level": "l3"
  },
  "CAP_4aa3f68e": {
   "en": "Generative Adversarial Imitation Learning",
   "zh": "生成对抗模仿学习",
   "level": "l3"
  },
  "CAP_2bdd6b44": {
   "en": "Trajectory Data Preprocessing",
   "zh": "轨迹数据预处理",
   "level": "l3"
  },
  "CAP_9068ab48": {
   "en": "Proactive Strategy Mapping",
   "zh": "主动策略映射",
   "level": "l3"
  },
  "CAP_a7ed9b3e": {
   "en": "Behavior Reasoning from Mental State",
   "zh": "基于心理状态的行为推理",
   "level": "l3"
  },
  "CAP_10a1d8d3": {
   "en": "Social Behavior Interpretation",
   "zh": "社交行为解释",
   "level": "l3"
  },
  "CAP_e490bee0": {
   "en": "Social Reasoning Prompt Engineering",
   "zh": "社交推理提示工程",
   "level": "l3"
  },
  "CAP_6aafe75d": {
   "en": "LLM-Based Robot Strategy Generation",
   "zh": "基于 LLM 的机器人策略生成",
   "level": "l3"
  },
  "CAP_1aef9394": {
   "en": "Crowd Density Estimation",
   "zh": "人群密度估计",
   "level": "l3"
  },
  "CAP_52e0ef78": {
   "en": "Keep-Right Passing Cost Function",
   "zh": "靠右通行代价函数",
   "level": "l3"
  },
  "CAP_3fa29213": {
   "en": "No-Blocking Channel Cost Function",
   "zh": "不堵塞通道代价函数",
   "level": "l3"
  },
  "CAP_4a747995": {
   "en": "Speed Regulation in Dense Crowd",
   "zh": "密集人群速度调节",
   "level": "l3"
  },
  "CAP_629ba596": {
   "en": "Socially Compliant Local Planning",
   "zh": "社会合规局部规划",
   "level": "l3"
  },
  "CAP_db324609": {
   "en": "Observation-Action Temporal Alignment",
   "zh": "观测-动作时间对齐",
   "level": "l3"
  },
  "CAP_cda5a538": {
   "en": "GAIL Discriminator for Social Behavior",
   "zh": "社会行为 GAIL 判别器",
   "level": "l3"
  },
  "CAP_4c34b06b": {
   "en": "Boltzmann Preference Scoring for Action Ranking",
   "zh": "Boltzmann 偏好评分与动作排序",
   "level": "l3"
  },
  "CAP_11980af4": {
   "en": "Action-Conditioned Visual Feature Aggregation",
   "zh": "动作条件视觉特征聚合",
   "level": "l3"
  },
  "CAP_ce496c6a": {
   "en": "Plackett-Luce Ranking Loss for Reward Learning",
   "zh": "Plackett-Luce 排序损失奖励学习",
   "level": "l3"
  },
  "CAP_40862ea5": {
   "en": "Facial AU Recognition",
   "zh": "面部动作单元识别",
   "level": "l3"
  },
  "CAP_0c098fe5": {
   "en": "Hand Gesture Detection",
   "zh": "手势检测",
   "level": "l3"
  },
  "CAP_ab3cbea6": {
   "en": "Holistic Perception",
   "zh": "全身全息感知",
   "level": "l3"
  },
  "CAP_4955c13201": {
   "en": "Temporal Synchronization",
   "zh": "多模态时序同步",
   "level": "l3"
  },
  "CAP_6d762994": {
   "en": "Feature Vector Extraction",
   "zh": "特征向量提取",
   "level": "l3"
  },
  "CAP_ff32f5a7": {
   "en": "Social Cue Classification",
   "zh": "社交线索分类",
   "level": "l2"
  },
  "CAP_64d07fbe": {
   "en": "Social Cue Classifier",
   "zh": "社交线索分类器",
   "level": "l3"
  },
  "CAP_12d96fa9": {
   "en": "Emotion State Estimation",
   "zh": "情感状态估计",
   "level": "l3"
  },
  "CAP_15334fb7": {
   "en": "Multimodal Input Acquisition",
   "zh": "多模态输入采集",
   "level": "l2"
  },
  "CAP_c978bd9c": {
   "en": "Audio Stream Capture",
   "zh": "音频流采集",
   "level": "l3"
  },
  "CAP_a4b0c0f2": {
   "en": "Text Transcription",
   "zh": "文本转录",
   "level": "l3"
  },
  "CAP_4ae14750": {
   "en": "Modality Feature Extraction",
   "zh": "模态特征提取",
   "level": "l2"
  },
  "CAP_e9f707e2": {
   "en": "Dialogue Graph Construction",
   "zh": "对话图构建",
   "level": "l2"
  },
  "CAP_e17c5fa0": {
   "en": "Dialogue Graph Builder",
   "zh": "对话图构建器",
   "level": "l3"
  },
  "CAP_1e33160c": {
   "en": "Dialogue Emotion Recognition",
   "zh": "对话情感识别",
   "level": "l2"
  },
  "CAP_0ffccd9a": {
   "en": "DialogueGCN Inference",
   "zh": "DialogueGCN 推理",
   "level": "l3"
  },
  "CAP_25367f25": {
   "en": "Contextualized Multimodal Emotion",
   "zh": "上下文化多模态情感识别",
   "level": "l2"
  },
  "CAP_918cef43": {
   "en": "COGMEN Inference",
   "zh": "COGMEN 推理",
   "level": "l3"
  },
  "CAP_2eea8f02": {
   "en": "Multimodal Sentiment Analysis",
   "zh": "多模态情感分析",
   "level": "l2"
  },
  "CAP_b78abae2": {
   "en": "Sentiment Classifier",
   "zh": "情感分类器",
   "level": "l3"
  },
  "CAP_f0813ccb": {
   "en": "Late Feature Fusion",
   "zh": "特征级融合",
   "level": "l3"
  },
  "CAP_3d286f5f": {
   "en": "Social Zone Definition",
   "zh": "社交区域定义",
   "level": "l2"
  },
  "CAP_1a7bdce9": {
   "en": "Zone Boundary Configuration",
   "zh": "区域边界配置",
   "level": "l3"
  },
  "CAP_830f976c": {
   "en": "Per-Human Zone Grid Construction",
   "zh": "单人区域栅格构建",
   "level": "l3"
  },
  "CAP_a41695c6": {
   "en": "Multi-Human Grid Merging",
   "zh": "多人栅格合并",
   "level": "l3"
  },
  "CAP_b5d86bd5": {
   "en": "Social Inflation",
   "zh": "社交膨胀",
   "level": "l3"
  },
  "CAP_755867ae": {
   "en": "Social Cost-Aware Path Planning",
   "zh": "社交代价感知路径规划",
   "level": "l3"
  },
  "CAP_0f3a532d": {
   "en": "Zone Force Strength Calibration",
   "zh": "区域力强度标定",
   "level": "l3"
  },
  "CAP_2837352d": {
   "en": "Real-time Action Selection",
   "zh": "实时动作选择",
   "level": "l3"
  },
  "CAP_695401f6": {
   "en": "Pedestrian Detection from Laser",
   "zh": "激光行人检测",
   "level": "l3"
  },
  "CAP_a9630052": {
   "en": "SFM Velocity Command Generation",
   "zh": "SFM 速度指令生成",
   "level": "l2"
  },
  "CAP_45066abd": {
   "en": "SFM Cost Function",
   "zh": "SFM 代价函数",
   "level": "l3"
  },
  "CAP_af6d2b68": {
   "en": "SFM RL Training Environment",
   "zh": "SFM 强化学习训练环境",
   "level": "l2"
  },
  "CAP_deaff192": {
   "en": "SAC Navigation Policy",
   "zh": "SAC 导航策略",
   "level": "l3"
  },
  "CAP_ebe80c74": {
   "en": "Social Scene Norm Extraction",
   "zh": "社交场景规范提取",
   "level": "l3"
  },
  "CAP_eedaa792": {
   "en": "Rule Structure Encoding",
   "zh": "规则结构化编码",
   "level": "l3"
  },
  "CAP_58de2e6a": {
   "en": "Behavior Intention Generation",
   "zh": "行为意图生成",
   "level": "l2"
  },
  "CAP_d8d9d397": {
   "en": "Behavior Intention Expression",
   "zh": "行为意图表达",
   "level": "l3"
  },
  "CAP_9e2ca45d": {
   "en": "Norm Compliance Check",
   "zh": "规范合规核查",
   "level": "l2"
  },
  "CAP_05f7518c": {
   "en": "Social Context Perception",
   "zh": "社交上下文感知",
   "level": "l3"
  },
  "CAP_eca3e224": {
   "en": "Norm Condition Evaluation",
   "zh": "规范条件评估",
   "level": "l3"
  },
  "CAP_1fad0ddc": {
   "en": "Behavior Modification and Arbitration",
   "zh": "行为修正与仲裁",
   "level": "l2"
  },
  "CAP_88e87b93": {
   "en": "Behavior Violation Correction",
   "zh": "违规行为修正",
   "level": "l3"
  },
  "CAP_b3146c65": {
   "en": "Compliance Logging",
   "zh": "合规性日志记录",
   "level": "l3"
  },
  "CAP_de6d3b25": {
   "en": "Social Norm Learning",
   "zh": "社交规范学习",
   "level": "l2"
  },
  "CAP_83aed741": {
   "en": "Scene Perception and Description",
   "zh": "场景感知与描述",
   "level": "l2"
  },
  "CAP_e873cd8b": {
   "en": "Behavior Code Generation and Execution",
   "zh": "行为代码生成与执行",
   "level": "l2"
  },
  "CAP_c00a5f03": {
   "en": "Code Sandbox Execution",
   "zh": "代码沙箱执行",
   "level": "l3"
  },
  "CAP_75dcf5e0": {
   "en": "Feedback and Iteration",
   "zh": "反馈与迭代",
   "level": "l2"
  },
  "CAP_36426ca3": {
   "en": "Execution Feedback Logging",
   "zh": "执行结果反馈记录",
   "level": "l3"
  },
  "CAP_99ec9754": {
   "en": "Norm Knowledge Serialization",
   "zh": "规范知识序列化",
   "level": "l3"
  },
  "CAP_7f30a722": {
   "en": "Norm Corpus Indexing",
   "zh": "规范语料索引",
   "level": "l2"
  },
  "CAP_01e5be0a": {
   "en": "Scene Context Extraction",
   "zh": "场景上下文提取",
   "level": "l3"
  },
  "CAP_16fe84d4": {
   "en": "Norm Query Construction",
   "zh": "规范查询构造",
   "level": "l3"
  },
  "CAP_3d27cd14": {
   "en": "RAG Norm Retrieval",
   "zh": "RAG 规范检索",
   "level": "l2"
  },
  "CAP_3c4b973e": {
   "en": "Hybrid Norm Retrieval",
   "zh": "混合规范检索",
   "level": "l3"
  },
  "CAP_cdc46412": {
   "en": "LLM Norm Generation",
   "zh": "LLM 规范生成",
   "level": "l2"
  },
  "CAP_92ab3386": {
   "en": "Annotation Schema Design",
   "zh": "标注方案设计",
   "level": "l3"
  },
  "CAP_fa49e322": {
   "en": "Norm Annotation Quality Control",
   "zh": "规范标注质量控制",
   "level": "l2"
  },
  "CAP_c30970ec": {
   "en": "Inter-Annotator Agreement",
   "zh": "标注者间一致性",
   "level": "l3"
  },
  "CAP_996b0336": {
   "en": "Norm Adjudication Workflow",
   "zh": "规范仲裁工作流",
   "level": "l3"
  },
  "CAP_5096f8dd": {
   "en": "Norm Taxonomy Construction",
   "zh": "规范分类法构建",
   "level": "l3"
  },
  "CAP_af2940bc": {
   "en": "HitStudyDesign",
   "zh": "命中研究设计",
   "level": "l3"
  },
  "CAP_6b791e0c": {
   "en": "NormAggregation",
   "zh": "规范聚合",
   "level": "l3"
  },
  "CAP_6fbdbb8a": {
   "en": "Scene Graph Social Relation Parsing",
   "zh": "场景图社会关系解析",
   "level": "l2"
  },
  "CAP_ad812ab4": {
   "en": "Pairwise Relation Proposal",
   "zh": "成对关系提议",
   "level": "l3"
  },
  "CAP_fc7a7044": {
   "en": "Union Feature Extraction",
   "zh": "联合特征提取",
   "level": "l3"
  },
  "CAP_405bfd48": {
   "en": "Global Context Encoding for SGG",
   "zh": "SGG全局上下文编码",
   "level": "l3"
  },
  "CAP_e8f9a0b1": {
   "en": "Social Relation Subgraph Filtering",
   "zh": "社会关系子图过滤",
   "level": "l3"
  },
  "CAP_6a7b8c9d": {
   "en": "HOI-based Social Context Inference",
   "zh": "基于人物交互检测的社会语境推断",
   "level": "l2"
  },
  "CAP_8a9b0c1d": {
   "en": "Human-Object Interaction Pair Generation",
   "zh": "HOI候选对生成",
   "level": "l3"
  },
  "CAP_0f026e80": {
   "en": "UPT Interaction Classification",
   "zh": "UPT交互分类",
   "level": "l3"
  },
  "CAP_8c9d0e1a": {
   "en": "Social Context Inference from HOI",
   "zh": "HOI社会语境推断",
   "level": "l3"
  },
  "CAP_6f7a8b9c": {
   "en": "Frame-Level Person Detection for Group Activity",
   "zh": "帧级人物检测",
   "level": "l3"
  },
  "CAP_7d562809": {
   "en": "Social Scene Mapping from Group Activity",
   "zh": "群体活动到社交场景映射",
   "level": "l3"
  },
  "CAP_4d5e6f7a": {
   "en": "VLM End-to-End Social Scene Reasoning",
   "zh": "基于视觉语言模型的端到端社交场景推理",
   "level": "l2"
  },
  "CAP_f0b8aaf5": {
   "en": "Vision-Language Projection",
   "zh": "视觉-语言投影",
   "level": "l3"
  },
  "CAP_8d9e0f1a": {
   "en": "Social Norm Inference via LLM",
   "zh": "基于LLM的社交规范推理",
   "level": "l3"
  },
  "CAP_0c5c0938": {
   "en": "Agent Valuation Elicitation",
   "zh": "智能体估值采集",
   "level": "l2"
  },
  "CAP_b9fec3f3": {
   "en": "Private Type Modeling",
   "zh": "私有类型建模",
   "level": "l3"
  },
  "CAP_5e6605be": {
   "en": "Strategy-Proof Bid Collection",
   "zh": "防策略投标收集",
   "level": "l3"
  },
  "CAP_256dc6f2": {
   "en": "Optimal Allocation Solver",
   "zh": "最优分配求解器",
   "level": "l3"
  },
  "CAP_b6a2404b": {
   "en": "VCG Externality Payment",
   "zh": "VCG外部性支付",
   "level": "l3"
  },
  "CAP_0d3a6296": {
   "en": "Budget Balance Analysis",
   "zh": "预算平衡分析",
   "level": "l3"
  },
  "CAP_b86e3f6c": {
   "en": "Mechanism Outcome Execution",
   "zh": "机制结果执行",
   "level": "l2"
  },
  "CAP_9ba674b2": {
   "en": "Social Welfare Evaluation",
   "zh": "社会福利评估",
   "level": "l3"
  },
  "CAP_a314ef4b": {
   "en": "Agent Network Architecture Design",
   "zh": "智能体网络架构设计",
   "level": "l3"
  },
  "CAP_72e81600": {
   "en": "Team Reward Evaluation",
   "zh": "团队奖励评估",
   "level": "l3"
  },
  "CAP_5304e80b": {
   "en": "Fairness-Aware Reward Shaping",
   "zh": "公平感知奖励塑形",
   "level": "l3"
  },
  "CAP_cf0af68d": {
   "en": "Agent Utility Modeling",
   "zh": "智能体效用建模",
   "level": "l2"
  },
  "CAP_63109e93": {
   "en": "Utility Function Specification",
   "zh": "效用函数定义",
   "level": "l3"
  },
  "CAP_21660750": {
   "en": "Nash Social Welfare Optimization Formulation",
   "zh": "纳什社会福利优化建模",
   "level": "l2"
  },
  "CAP_1c726c7c": {
   "en": "NSW Objective Formulation",
   "zh": "NSW目标函数构建",
   "level": "l3"
  },
  "CAP_7f4e35b3": {
   "en": "Fairness Axioms Encoding",
   "zh": "公平性公理编码",
   "level": "l3"
  },
  "CAP_74b7af78": {
   "en": "Convex Optimization Solver",
   "zh": "凸优化求解器",
   "level": "l3"
  },
  "CAP_7fab244b": {
   "en": "Fairness Verification",
   "zh": "公平性验证",
   "level": "l2"
  },
  "CAP_b50c017b": {
   "en": "EF1 Verification",
   "zh": "EF1验证",
   "level": "l3"
  },
  "CAP_f1054188": {
   "en": "Welfare Comparison Report",
   "zh": "社会福利对比报告",
   "level": "l3"
  },
  "CAP_9554ea51": {
   "en": "Softmax Probability Computation",
   "zh": "Softmax概率计算",
   "level": "l3"
  },
  "CAP_a27bfef5": {
   "en": "Validation Logit Collection",
   "zh": "验证集Logit收集",
   "level": "l3"
  },
  "CAP_ad3a2ce0": {
   "en": "Temperature Parameter Learning",
   "zh": "温度参数学习",
   "level": "l3"
  },
  "CAP_bd7319ae": {
   "en": "Interface Signature Extraction",
   "zh": "接口签名提取",
   "level": "l3"
  },
  "CAP_71d9b68e": {
   "en": "Tool Schema Definition",
   "zh": "工具 Schema 定义",
   "level": "l2"
  },
  "CAP_e0173b24": {
   "en": "Wrapper Function Implementation",
   "zh": "Wrapper 函数实现",
   "level": "l2"
  },
  "CAP_8203db5a": {
   "en": "Parameter Validation and Type Conversion",
   "zh": "参数校验与类型转换",
   "level": "l3"
  },
  "CAP_db63695b": {
   "en": "Tool Error Handling",
   "zh": "工具错误处理",
   "level": "l3"
  },
  "CAP_81d9d6e4": {
   "en": "Tool Registration and Injection",
   "zh": "工具注册与注入",
   "level": "l3"
  },
  "CAP_e3271af7": {
   "en": "Tool Service Interface Definition",
   "zh": "工具服务接口定义",
   "level": "l3"
  },
  "CAP_0b4e3c4f": {
   "en": "Tool Server Implementation",
   "zh": "工具服务端实现",
   "level": "l3"
  },
  "CAP_bc12b598": {
   "en": "Protocol Adapter Implementation",
   "zh": "协议适配器实现",
   "level": "l3"
  },
  "CAP_4b0f8f22": {
   "en": "Tool Service Discovery",
   "zh": "工具服务发现",
   "level": "l3"
  },
  "CAP_a1ddfeb3": {
   "en": "Remote Tool Invocation",
   "zh": "远程工具调用",
   "level": "l3"
  },
  "CAP_289089e1": {
   "en": "Tool Registry and Discovery",
   "zh": "工具注册与发现",
   "level": "l3"
  },
  "CAP_fd9c91e4": {
   "en": "Tool Risk Modeling",
   "zh": "工具风险建模",
   "level": "l3"
  },
  "CAP_42fdf00b": {
   "en": "Pre-invocation Validation",
   "zh": "调用前置校验",
   "level": "l3"
  },
  "CAP_46979468": {
   "en": "Tool Execution Timeout Control",
   "zh": "工具执行超时控制",
   "level": "l3"
  },
  "CAP_49e41b0d": {
   "en": "Tool Retry and Idempotency Control",
   "zh": "工具重试与幂等控制",
   "level": "l3"
  },
  "CAP_7fcbe6c0": {
   "en": "Result Validation and Exception Handling",
   "zh": "结果校验与异常处理",
   "level": "l3"
  },
  "CAP_c951be7d": {
   "en": "Tool Audit Logging",
   "zh": "工具审计日志",
   "level": "l3"
  },
  "CAP_33378623": {
   "en": "Systemd Service Watchdog Monitoring",
   "zh": "systemd 服务看门狗监控",
   "level": "l3"
  },
  "CAP_682654c8": {
   "en": "Kernel Soft Lockup Detection",
   "zh": "内核软锁检测",
   "level": "l3"
  },
  "CAP_be4e876b": {
   "en": "Kernel Hard Lockup NMI Detection",
   "zh": "内核硬锁 NMI 检测",
   "level": "l3"
  },
  "CAP_50eaaa32": {
   "en": "Supervisor Configuration and Startup",
   "zh": "监督进程配置与启动",
   "level": "l3"
  },
  "CAP_ef7bfc6a": {
   "en": "Child Process Fork-Exec Launch",
   "zh": "子进程 fork/exec 启动",
   "level": "l3"
  },
  "CAP_820ed347": {
   "en": "Process Exit Detection and Auto-Restart",
   "zh": "进程退出检测与自动重启",
   "level": "l3"
  },
  "CAP_926fe095": {
   "en": "Process Event Notification and Remote Management",
   "zh": "进程事件通知与远程管理",
   "level": "l3"
  },
  "CAP_2e5c53a0": {
   "en": "PAM Static Force Modeling",
   "zh": "PAM 静态力建模",
   "level": "l2"
  },
  "CAP_f7b4a879": {
   "en": "PAM Selection and Sizing",
   "zh": "PAM 选型与规格确定",
   "level": "l3"
  },
  "CAP_95ad50d9": {
   "en": "Chou-Hannaford Model Fitting",
   "zh": "Chou-Hannaford 模型拟合",
   "level": "l3"
  },
  "CAP_e03522e4": {
   "en": "Pneumatic Proportional Valve Driving",
   "zh": "气动比例阀驱动",
   "level": "l3"
  },
  "CAP_065de583": {
   "en": "Pressure Safety Relief Valve Integration",
   "zh": "压力安全阀集成",
   "level": "l3"
  },
  "CAP_0f47532a": {
   "en": "PAM Safety Force Validation",
   "zh": "PAM 安全力验证",
   "level": "l3"
  },
  "CAP_de1563fe": {
   "en": "Vacuum Degassing for Silicone",
   "zh": "硅橡胶真空脱泡",
   "level": "l3"
  },
  "CAP_dd44ee17": {
   "en": "Fiber-Reinforced Actuator Winding",
   "zh": "纤维增强执行器缠绕",
   "level": "l3"
  },
  "CAP_694b6227": {
   "en": "PneuNet Safety Validation",
   "zh": "PneuNet 安全验证",
   "level": "l3"
  },
  "CAP_028393ff": {
   "en": "Dielectric Liquid Characterization",
   "zh": "介电液体特性表征",
   "level": "l3"
  },
  "CAP_acab93e5": {
   "en": "Heat-Sealing Parameter Optimization",
   "zh": "热封参数优化",
   "level": "l3"
  },
  "CAP_7773d4e0": {
   "en": "Leakage Current Monitoring",
   "zh": "泄漏电流监测",
   "level": "l3"
  },
  "CAP_f8488ca3": {
   "en": "DSC Phase Transition Temperature Measurement",
   "zh": "DSC 相变温度测量",
   "level": "l3"
  },
  "CAP_4face251": {
   "en": "SMA Embedding Pattern Optimization",
   "zh": "SMA 嵌入图案优化",
   "level": "l3"
  },
  "CAP_1adfdbe0": {
   "en": "PWM Current Control for Joule Heating",
   "zh": "焦耳加热 PWM 电流控制",
   "level": "l3"
  },
  "CAP_3454d86f": {
   "en": "CompressedAirSystemSelection",
   "zh": "压缩空气系统选型",
   "level": "l3"
  },
  "CAP_5cf1a149": {
   "en": "Barrier-Based Contact Optimization",
   "zh": "障碍函数接触优化",
   "level": "l2"
  },
  "CAP_705d6bf5": {
   "en": "Contact Primitive Pair Enumeration",
   "zh": "接触元对枚举",
   "level": "l3"
  },
  "CAP_d21d3c39": {
   "en": "Unsigned Distance Computation",
   "zh": "无符号距离计算",
   "level": "l3"
  },
  "CAP_8fb676a0": {
   "en": "Log-Barrier Potential Evaluation",
   "zh": "对数障碍势能计算",
   "level": "l3"
  },
  "CAP_87133791": {
   "en": "Incremental Potential Assembly",
   "zh": "增量势能组装",
   "level": "l3"
  },
  "CAP_0c4ea90c": {
   "en": "Newton-Type Contact Solver",
   "zh": "Newton型接触求解器",
   "level": "l3"
  },
  "CAP_f988a730": {
   "en": "Inclusion-Based CCD",
   "zh": "包含式连续碰撞检测",
   "level": "l3"
  },
  "CAP_b0e2b1a9": {
   "en": "Adaptive Barrier Stiffness Control",
   "zh": "自适应障碍刚度控制",
   "level": "l3"
  },
  "CAP_cd695b57": {
   "en": "Lagged Dissipative Friction",
   "zh": "滞后耗散摩擦",
   "level": "l3"
  },
  "CAP_3b4589d6": {
   "en": "Newmark Time Integration",
   "zh": "Newmark 时间积分",
   "level": "l3"
  },
  "CAP_a2a3662c": {
   "en": "Constraint-Based Collision Projection",
   "zh": "约束投影碰撞处理",
   "level": "l2"
  },
  "CAP_ee4ecaa9": {
   "en": "Point-Point Distance Constraint",
   "zh": "点-点距离约束",
   "level": "l3"
  },
  "CAP_79d2de19": {
   "en": "Point-Edge Distance Constraint",
   "zh": "点-边距离约束",
   "level": "l3"
  },
  "CAP_36dc5e54": {
   "en": "Point-Triangle Distance Constraint",
   "zh": "点-三角距离约束",
   "level": "l3"
  },
  "CAP_a9364210": {
   "en": "Edge-Edge Distance Constraint",
   "zh": "边-边距离约束",
   "level": "l3"
  },
  "CAP_69037403": {
   "en": "Volume Constraint Preservation",
   "zh": "体积约束保持",
   "level": "l3"
  },
  "CAP_24bcf696": {
   "en": "Dihedral Bending Constraint",
   "zh": "二面角弯曲约束",
   "level": "l3"
  },
  "CAP_ef0a2496": {
   "en": "Gauss-Seidel Constraint Solver",
   "zh": "Gauss-Seidel 约束求解器",
   "level": "l3"
  },
  "CAP_9d742634": {
   "en": "XPBD Compliance Parameter",
   "zh": "XPBD 合规参数",
   "level": "l3"
  },
  "CAP_aa6b0507": {
   "en": "Collision Mesh Mapping Pipeline",
   "zh": "碰撞网格映射管线",
   "level": "l2"
  },
  "CAP_136d69ea": {
   "en": "Multi-Method Contact Response",
   "zh": "多方法接触响应",
   "level": "l2"
  },
  "CAP_4cef3658": {
   "en": "BVH Broad Phase Detection",
   "zh": "BVH 粗检测",
   "level": "l3"
  },
  "CAP_3e085837": {
   "en": "Exact Narrow Phase Detection",
   "zh": "精确精检测",
   "level": "l3"
  },
  "CAP_83b43287": {
   "en": "Contact Point Computation",
   "zh": "接触点计算",
   "level": "l3"
  },
  "CAP_dd656cfc": {
   "en": "Penalty Method Response",
   "zh": "罚函数响应",
   "level": "l3"
  },
  "CAP_f101afee": {
   "en": "Friction Contact Model",
   "zh": "摩擦接触模型",
   "level": "l3"
  },
  "CAP_ec174480": {
   "en": "Contact Force DOF Mapping",
   "zh": "接触力自由度映射",
   "level": "l3"
  },
  "CAP_246da2e7": {
   "en": "GPU Hash Grid Construction",
   "zh": "GPU哈希网格构建",
   "level": "l3"
  },
  "CAP_16954e8c": {
   "en": "GPU Neighbor Query",
   "zh": "GPU邻居查询",
   "level": "l3"
  },
  "CAP_959b5c53": {
   "en": "GPU Distance Threshold Check",
   "zh": "GPU距离阈值检测",
   "level": "l3"
  },
  "CAP_aa584b2e": {
   "en": "GPU Position Correction",
   "zh": "GPU位置修正",
   "level": "l3"
  },
  "CAP_bb806e9c": {
   "en": "SDF Collision Engine",
   "zh": "SDF碰撞引擎",
   "level": "l3"
  },
  "CAP_d097381b": {
   "en": "Explicit Euler Prediction",
   "zh": "显式Euler预测",
   "level": "l3"
  },
  "CAP_45833da9": {
   "en": "Position-Based Velocity Update",
   "zh": "基于位置的速度更新",
   "level": "l3"
  },
  "CAP_c5e563ec": {
   "en": "Collision Mesh Builder",
   "zh": "碰撞网格构建器",
   "level": "l3"
  },
  "CAP_d4a457fc": {
   "en": "FEM Soft Body Modeling",
   "zh": "软体本体有限元建模",
   "level": "l2"
  },
  "CAP_5cd7352a": {
   "en": "Cable Constraint Embedding",
   "zh": "腱 cable 约束嵌入",
   "level": "l3"
  },
  "CAP_634c3a45": {
   "en": "Pneumatic Actuator FEM Volume Pressure Coupling",
   "zh": "气动驱动器体积-压力耦合",
   "level": "l3"
  },
  "CAP_2798de59": {
   "en": "Soft Material Constitutive Setting",
   "zh": "软体材料本构设定",
   "level": "l3"
  },
  "CAP_8c1dc41f": {
   "en": "Gradient-Driven Model and Policy Optimization",
   "zh": "梯度驱动的模型与策略优化",
   "level": "l2"
  },
  "CAP_d795086d": {
   "en": "Adam Action Sequence Optimization",
   "zh": "Adam 动作序列梯度优化",
   "level": "l3"
  },
  "CAP_67e4cc83": {
   "en": "MPM Soft Body Manipulation Task Setup",
   "zh": "MPM 软体操作任务配置",
   "level": "l3"
  },
  "CAP_7d11267f": {
   "en": "Execute Cosserat Rod Dynamics",
   "zh": "执行Cosserat杆动力学仿真",
   "level": "l3"
  },
  "CAP_44befa68": {
   "en": "Unified Particle Physics Solve",
   "zh": "统一粒子物理求解",
   "level": "l3"
  },
  "CAP_3c611749": {
   "en": "MPM Constitutive Model Selection",
   "zh": "MPM 本构模型选择",
   "level": "l3"
  },
  "CAP_52ba8baf": {
   "en": "MPM Elastic Constitutive Stress",
   "zh": "MPM 弹性本构应力",
   "level": "l3"
  },
  "CAP_7f8f695d": {
   "en": "MPM Elasto-Plastic Constitutive Stress",
   "zh": "MPM 弹塑性本构应力",
   "level": "l3"
  },
  "CAP_8eb60933": {
   "en": "MPM Forward Time Integration",
   "zh": "MPM 前向时间积分",
   "level": "l3"
  },
  "CAP_9c69b82d": {
   "en": "Optimization Mode Selection",
   "zh": "优化模式选择",
   "level": "l3"
  },
  "CAP_1946b23a": {
   "en": "PDDL3 Preference Syntax Modeling",
   "zh": "PDDL3 偏好语法建模",
   "level": "l3"
  },
  "CAP_0c3c0aeb": {
   "en": "Constraint Strength Annotation",
   "zh": "约束强度标注",
   "level": "l3"
  },
  "CAP_ff0217e6": {
   "en": "Error Variable Construction",
   "zh": "误差变量构造",
   "level": "l3"
  },
  "CAP_2f63634e": {
   "en": "Incremental Constraint Update",
   "zh": "约束增量更新",
   "level": "l3"
  },
  "CAP_578250f9": {
   "en": "Comparator Adjudication",
   "zh": "Comparator 裁决",
   "level": "l3"
  },
  "CAP_3f7b2e92": {
   "en": "Soft Constraint Max-SAT Clause Encoding",
   "zh": "软约束 Max-SAT 子句编码",
   "level": "l3"
  },
  "CAP_70a960fb": {
   "en": "UNSAT Core Discovery",
   "zh": "不可满足核心发现",
   "level": "l3"
  },
  "CAP_b1b938e1": {
   "en": "Max-SAT Optimal Solution Search",
   "zh": "Max-SAT 最优解搜索",
   "level": "l3"
  },
  "CAP_3f7b2e93": {
   "en": "Max-SAT Solution Extraction and Violation Reporting",
   "zh": "Max-SAT 解提取与违反报告",
   "level": "l3"
  },
  "CAP_e04ef40f": {
   "en": "MaxSMT Optimization Solving",
   "zh": "MaxSMT 优化求解",
   "level": "l3"
  },
  "CAP_13f966ea": {
   "en": "Preference-Aware Temporal Planning",
   "zh": "偏好感知时序规划",
   "level": "l3"
  },
  "CAP_8655e032": {
   "en": "Pneumatic Soft Finger Drive Configuration",
   "zh": "气动软体手指驱动配置",
   "level": "l2"
  },
  "CAP_8fc1c62a": {
   "en": "Pressure-Bending Calibration",
   "zh": "压力弯曲标定",
   "level": "l3"
  },
  "CAP_538e7754": {
   "en": "Pressure PID Hysteresis Compensation",
   "zh": "比例阀压力闭环控制",
   "level": "l3"
  },
  "CAP_00425223": {
   "en": "Soft Finger Wrapping Approach",
   "zh": "软体手指包覆逼近",
   "level": "l3"
  },
  "CAP_f9b4ca06": {
   "en": "Soft Grasp Force Safety Release",
   "zh": "可控释放",
   "level": "l3"
  },
  "CAP_15cedcfb": {
   "en": "Granular Jamming Vacuum Adaptive Grasping",
   "zh": "颗粒堵塞真空自适应抓取",
   "level": "l2"
  },
  "CAP_2af2ff12": {
   "en": "Conformable Envelopment and Jamming",
   "zh": "共形包覆与堵塞",
   "level": "l2"
  },
  "CAP_583d6f0e": {
   "en": "Vacuum Proportional Valve Calibration",
   "zh": "真空比例阀标定",
   "level": "l3"
  },
  "CAP_9a8bcc3e": {
   "en": "Jamming Stiffness Verification",
   "zh": "堵塞状态验证",
   "level": "l3"
  },
  "CAP_8a3c0ca7": {
   "en": "Depressurization Release Control",
   "zh": "释压释放控制",
   "level": "l3"
  },
  "CAP_1ed25c77": {
   "en": "Force-Aware Policy Learning and Training",
   "zh": "力感知策略学习与训练",
   "level": "l2"
  },
  "CAP_7091ad70": {
   "en": "Force-Aware Policy Learning (RL)",
   "zh": "力感知策略学习（RL）",
   "level": "l3"
  },
  "CAP_38e515c9": {
   "en": "Force-Aware Demonstration Collection",
   "zh": "多模态力觉数据采集",
   "level": "l3"
  },
  "CAP_28b60828": {
   "en": "Tactile Force Multi Modal VLA Pipeline",
   "zh": "触觉力多模态VLA流水线",
   "level": "l2"
  },
  "CAP_0fc698ec": {
   "en": "Policy Iteration Optimization",
   "zh": "策略迭代优化",
   "level": "l3"
  },
  "CAP_bf8c4e5b": {
   "en": "Pneumatic Finger and Valve Matrix Setup",
   "zh": "气动软体手指与阀矩阵安装",
   "level": "l3"
  },
  "CAP_8cd6f215": {
   "en": "Wrist Force Torque Sensor Configuration",
   "zh": "腕部六维力扭矩传感器配置",
   "level": "l3"
  },
  "CAP_29ea3da9": {
   "en": "Object Property Perception",
   "zh": "物体属性感知",
   "level": "l3"
  },
  "CAP_462c9796": {
   "en": "Desired Pressure Trajectory Generation",
   "zh": "期望压力轨迹生成",
   "level": "l3"
  },
  "CAP_2e0bf4f9": {
   "en": "Grasp Force Target Calculation",
   "zh": "夹持力目标计算",
   "level": "l3"
  },
  "CAP_2a952d10": {
   "en": "Contact Force Feedback Collection",
   "zh": "接触力反馈采集",
   "level": "l3"
  },
  "CAP_216522aa": {
   "en": "Grasp Force Fine Tuning",
   "zh": "夹持力微调稳定",
   "level": "l3"
  },
  "CAP_b24b2e41": {
   "en": "Granular Jamming Filling and Vacuum Plumbing",
   "zh": "颗粒堵塞硬件填充与真空管路",
   "level": "l3"
  },
  "CAP_e4c36d6c": {
   "en": "Fluid State Conformal Envelopment",
   "zh": "流态共形贴合",
   "level": "l3"
  },
  "CAP_58e81bfc": {
   "en": "Vacuum Jamming Transition Control",
   "zh": "真空堵塞相变控制",
   "level": "l3"
  },
  "CAP_943b70f8": {
   "en": "Vacuum Holding and Grasp Force Monitoring",
   "zh": "真空维持与夹持力监视",
   "level": "l3"
  },
  "CAP_0c29422e": {
   "en": "Cosserat Rod Soft Gripper Simulation and RL",
   "zh": "Cosserat 杆软体夹爪快速仿真与 RL 训练",
   "level": "l2"
  },
  "CAP_c2adce77": {
   "en": "Cosserat Rod Geometry and Material Initialization",
   "zh": "Cosserat 杆几何与材料初始化",
   "level": "l3"
  },
  "CAP_ba180b2f": {
   "en": "RL Training for Soft Gripper",
   "zh": "软体夹爪强化学习训练",
   "level": "l3"
  },
  "CAP_3cf2dff0": {
   "en": "Differentiable Soft Gripper Simulation and Design Optimization",
   "zh": "可微软体夹爪仿真与设计优化",
   "level": "l2"
  },
  "CAP_50507d33": {
   "en": "Differentiable Physics Engine Setup",
   "zh": "可微物理引擎初始化",
   "level": "l3"
  },
  "CAP_8d7fc779": {
   "en": "Soft Gripper Design Parameterization",
   "zh": "软体夹爪设计参数化",
   "level": "l3"
  },
  "CAP_50a5bf4e": {
   "en": "Differentiable Loss Definition",
   "zh": "可微损失函数定义",
   "level": "l3"
  },
  "CAP_c45a457e": {
   "en": "Optimized Design Export",
   "zh": "优化设计导出",
   "level": "l3"
  },
  "CAP_0b97973f": {
   "en": "WEIGHT REG SOFT SHARING",
   "zh": "权重正则化软参数共享",
   "level": "l2"
  },
  "CAP_aa622308": {
   "en": "ACTIVATION FUSION SOFT SHARING",
   "zh": "激活融合软参数共享",
   "level": "l2"
  },
  "CAP_deff73a1": {
   "en": "TASK NETWORK INSTANTIATION",
   "zh": "多任务网络实例化",
   "level": "l3"
  },
  "CAP_57f7debc": {
   "en": "PARAMETER TENSOR STACKING",
   "zh": "逐层参数张量堆叠",
   "level": "l3"
  },
  "CAP_6a96625d": {
   "en": "TRACE NORM REGULARIZATION",
   "zh": "迹范数正则化计算",
   "level": "l3"
  },
  "CAP_255e57d3": {
   "en": "L2 DISTANCE REGULARIZATION",
   "zh": "L2 距离正则化",
   "level": "l3"
  },
  "CAP_be9d9d8c": {
   "en": "REGULARIZATION STRENGTH WEIGHTING",
   "zh": "正则化强度加权",
   "level": "l3"
  },
  "CAP_2df88eec": {
   "en": "REGULARIZED LOSS ASSEMBLY",
   "zh": "正则化多任务损失组装",
   "level": "l3"
  },
  "CAP_c7fbe37b": {
   "en": "SVD SUBGRADIENT TRACE NORM",
   "zh": "迹范数 SVD 子梯度计算",
   "level": "l3"
  },
  "CAP_b6c88b39": {
   "en": "JOINT TRAINING LOOP",
   "zh": "多任务联合训练循环",
   "level": "l3"
  },
  "CAP_2450e3e1": {
   "en": "PER TASK INFERENCE",
   "zh": "单任务独立推理",
   "level": "l3"
  },
  "CAP_542885e7": {
   "en": "CROSS STITCH INSERTION",
   "zh": "Cross-Stitch 单元插入",
   "level": "l3"
  },
  "CAP_687686fb": {
   "en": "ALPHA INITIALIZATION",
   "zh": "Alpha 矩阵初始化策略",
   "level": "l3"
  },
  "CAP_199946e0": {
   "en": "ACTIVATION FUSION FORWARD",
   "zh": "逐层激活融合前向传播",
   "level": "l3"
  },
  "CAP_c61f0c65": {
   "en": "CROSS STITCH BACKWARD",
   "zh": "Cross-Stitch 反向梯度传播",
   "level": "l3"
  },
  "CAP_42b8e553": {
   "en": "CROSS STITCH TRAINING",
   "zh": "Cross-Stitch 多任务联合训练",
   "level": "l3"
  },
  "CAP_118f3ffb": {
   "en": "Multi-Task Forward and Loss Computation",
   "zh": "多任务前向与损失计算",
   "level": "l3"
  },
  "CAP_e729d398": {
   "en": "Soft Body FEM Tetrahedral Meshing",
   "zh": "软体四面体网格生成",
   "level": "l2"
  },
  "CAP_c36d62f4": {
   "en": "Pneumatic Chamber Pressure Actuation",
   "zh": "气动腔体压力驱动",
   "level": "l2"
  },
  "CAP_46adc946": {
   "en": "FEM Boundary Condition Fixation",
   "zh": "FEM 边界条件固定",
   "level": "l3"
  },
  "CAP_5cd85dc3": {
   "en": "Sparse Direct FEM Solver",
   "zh": "稀疏直接 FEM 求解器",
   "level": "l2"
  },
  "CAP_f71e51b8": {
   "en": "Cavity-Volume Mesh Barycentric Mapping",
   "zh": "腔体-体网格重心映射",
   "level": "l2"
  },
  "CAP_60f124fe": {
   "en": "Soft Actuator Deformation Post-Processing",
   "zh": "软体执行器变形后处理",
   "level": "l2"
  },
  "CAP_602bdad3": {
   "en": "Multi-Cavity Independent Pressure Control",
   "zh": "多腔体独立压力控制",
   "level": "l2"
  },
  "CAP_6569937f": {
   "en": "Cosserat Rod Soft Robot Modeling",
   "zh": "Cosserat 杆软体机器人建模",
   "level": "l2"
  },
  "CAP_d6cd2082": {
   "en": "Reduced-Order Actuation Force Modeling",
   "zh": "降阶驱动建模",
   "level": "l2"
  },
  "CAP_d3006af3": {
   "en": "Cosserat Rod Boundary Condition Setup",
   "zh": "Cosserat 杆边界条件设置",
   "level": "l3"
  },
  "CAP_5f0f2919": {
   "en": "Cosserat Rod Dynamics Time Integration",
   "zh": "Cosserat 杆动力学时间积分",
   "level": "l2"
  },
  "CAP_18886f27": {
   "en": "Soft Robot End-Effector Trajectory Extraction",
   "zh": "软体机器人末端轨迹提取",
   "level": "l2"
  },
  "CAP_23def478": {
   "en": "SMA Material Model Configuration",
   "zh": "SMA 材料模型配置",
   "level": "l2"
  },
  "CAP_e414827f": {
   "en": "SMA Thermal-Mechanical Coupled Simulation",
   "zh": "SMA 热-力耦合仿真",
   "level": "l2"
  },
  "CAP_a1b5bcb6": {
   "en": "Joule Heating Thermal Load Definition",
   "zh": "Joule 加热热载荷定义",
   "level": "l3"
  },
  "CAP_0b4b8f6c": {
   "en": "SMA Phase Transformation Fraction Extraction",
   "zh": "SMA 相变分数提取",
   "level": "l3"
  },
  "CAP_bf78e6d1": {
   "en": "SMA Actuator Motion Post-Processing",
   "zh": "SMA 执行器运动后处理",
   "level": "l3"
  },
  "CAP_1474723c": {
   "en": "SMA Region 3D Geometry",
   "zh": "SMA区域三维几何构建",
   "level": "l3"
  },
  "CAP_87a00b74": {
   "en": "FEM Tetrahedral Mesh Generation",
   "zh": "四面体有限元网格生成",
   "level": "l3"
  },
  "CAP_3864ddef": {
   "en": "MechanicalObjectDOFs",
   "zh": "机械对象自由度创建",
   "level": "l3"
  },
  "CAP_4fcff1b3": {
   "en": "ThermalLoadDefinition",
   "zh": "热载荷定义",
   "level": "l3"
  },
  "CAP_7f8acac7": {
   "en": "MapCavityForcesToFEM",
   "zh": "腔体力映射到FEM网格",
   "level": "l3"
  },
  "CAP_b1673231": {
   "en": "CoupledTempDisplacementStep",
   "zh": "耦合温度-位移分析步配置",
   "level": "l3"
  },
  "CAP_30f398e6": {
   "en": "BoundaryConditionSetter",
   "zh": "边界条件设置器",
   "level": "l3"
  },
  "CAP_82e46c5a": {
   "en": "SubmitAndSolve",
   "zh": "提交与求解",
   "level": "l3"
  },
  "CAP_e013c1ff": {
   "en": "DisplacementFieldPostProcessing",
   "zh": "位移场后处理",
   "level": "l3"
  },
  "CAP_caa5b293": {
   "en": "PhaseTransformationFractionExtraction",
   "zh": "相变分数提取",
   "level": "l3"
  },
  "CAP_94627307": {
   "en": "SMA Material Properties",
   "zh": "SMA材料属性定义",
   "level": "l3"
  },
  "CAP_af85919d": {
   "en": "DefineNonSMAMaterial",
   "zh": "定义非SMA材料",
   "level": "l3"
  },
  "CAP_a791d7bc": {
   "en": "DefineInitialTemperatureField",
   "zh": "定义初始温度场",
   "level": "l3"
  },
  "CAP_3653bd32": {
   "en": "Create3DGeometryWithSMARegion",
   "zh": "创建含SMA区域的三维几何",
   "level": "l3"
  },
  "CAP_63b83281": {
   "en": "AssignMaterialsToSections",
   "zh": "材料分配至截面",
   "level": "l3"
  },
  "CAP_f443e7ca": {
   "en": "Solid-State LiDAR Feature Extraction",
   "zh": "固态激光雷达特征提取",
   "level": "l2"
  },
  "CAP_3e07f801": {
   "en": "Angular Sector Feature Segmentation",
   "zh": "角度扇区特征分割",
   "level": "l3"
  },
  "CAP_38133346": {
   "en": "Rotation-Invariant Curvature Feature",
   "zh": "旋转不变曲率特征",
   "level": "l3"
  },
  "CAP_0c7224f2": {
   "en": "Intensity-Assisted Feature Extraction",
   "zh": "反射强度辅助特征提取",
   "level": "l3"
  },
  "CAP_d9854f97": {
   "en": "Solid-State LiDAR Unreliable Point Filtering",
   "zh": "固态激光雷达不可靠点剔除",
   "level": "l3"
  },
  "CAP_256e520e": {
   "en": "Feature-Based Pose Estimation with Left Lie Derivative",
   "zh": "左李导数特征法位姿估计",
   "level": "l3"
  },
  "CAP_f49abc85": {
   "en": "Iterative Dynamic Object Filtering",
   "zh": "迭代式动态物体滤波",
   "level": "l3"
  },
  "CAP_b35ac761": {
   "en": "2D Histogram Loop Closure",
   "zh": "2D 直方图闭环检测",
   "level": "l3"
  },
  "CAP_7b0c5e24": {
   "en": "Probability Grid Map Building",
   "zh": "概率栅格地图构建",
   "level": "l3"
  },
  "CAP_cd5edc95": {
   "en": "Direct Point-to-Map Registration",
   "zh": "直接点-地图注册",
   "level": "l2"
  },
  "CAP_2a96aa54": {
   "en": "IESKF State Estimation",
   "zh": "迭代误差状态卡尔曼滤波状态估计",
   "level": "l3"
  },
  "CAP_be8b85a5": {
   "en": "Sliding-Window Map Region Management",
   "zh": "滑动窗口地图区域管理",
   "level": "l3"
  },
  "CAP_b4c63f25": {
   "en": "Point-by-Point LIO Update",
   "zh": "逐点 LIO 状态更新",
   "level": "l2"
  },
  "CAP_08cec840": {
   "en": "Stochastic Process-Augmented Kinematic Model",
   "zh": "随机过程增强运动学模型",
   "level": "l3"
  },
  "CAP_3c8b5816": {
   "en": "IMU Saturation Handling",
   "zh": "IMU 饱和处理",
   "level": "l3"
  },
  "CAP_e6330c45": {
   "en": "Probabilistic Adaptive Voxel Mapping",
   "zh": "概率自适应体素建图",
   "level": "l2"
  },
  "CAP_ba252b88": {
   "en": "Plane Uncertainty Modelling",
   "zh": "平面不确定性建模",
   "level": "l3"
  },
  "CAP_0914760c": {
   "en": "Coarse-to-Fine Voxel Construction",
   "zh": "粗到细体素构建",
   "level": "l3"
  },
  "CAP_f7278a4c": {
   "en": "Convergence-Based History Point Discarding",
   "zh": "基于收敛性的历史点丢弃",
   "level": "l3"
  },
  "CAP_1a3602fd": {
   "en": "iVox Parallel Sparse Incremental Voxels",
   "zh": "iVox 并行稀疏增量体素",
   "level": "l3"
  },
  "CAP_41c484a4": {
   "en": "BTC Loop Closure Detection",
   "zh": "BTC 闭环检测",
   "level": "l2"
  },
  "CAP_cc112d6b": {
   "en": "Binary Triangle Descriptor",
   "zh": "二值三角形描述子",
   "level": "l3"
  },
  "CAP_2a687c98": {
   "en": "Hierarchical Global Bundle Adjustment",
   "zh": "分层全局 BA",
   "level": "l3"
  },
  "CAP_2010c35b": {
   "en": "LiDAR-Inertial Bundle Adjustment in Sliding Window",
   "zh": "滑动窗口 LiDAR-惯性 BA",
   "level": "l3"
  },
  "CAP_c9018d22": {
   "en": "Dynamic Initial State Initialization",
   "zh": "动态初始状态初始化",
   "level": "l3"
  },
  "CAP_218f592e": {
   "en": "LiDAR-Inertial-Visual Tightly-Coupled SLAM",
   "zh": "激光惯性视觉紧耦合SLAM",
   "level": "l2"
  },
  "CAP_433f9307": {
   "en": "Unified Voxel Map for Geometry and Visual Patches",
   "zh": "几何与视觉图像块统一体素地图",
   "level": "l3"
  },
  "CAP_ef235496": {
   "en": "Visual Map Point Generation with Plane Prior",
   "zh": "平面先验视觉地图点生成",
   "level": "l3"
  },
  "CAP_8dae32df": {
   "en": "Dynamic Reference Patch Update",
   "zh": "动态参考图像块更新",
   "level": "l3"
  },
  "CAP_e58e933e": {
   "en": "Online Exposure Time Estimation",
   "zh": "在线曝光时间估计",
   "level": "l3"
  },
  "CAP_9a6694b1": {
   "en": "On-Demand Voxel Raycasting",
   "zh": "按需体素射线投射",
   "level": "l3"
  },
  "CAP_08d7dbe9": {
   "en": "RGB-Colored Point Cloud Rendering",
   "zh": "RGB彩色点云渲染",
   "level": "l3"
  },
  "CAP_ee461270": {
   "en": "Mesh Reconstruction from Colored Point Cloud",
   "zh": "彩色点云网格重建",
   "level": "l3"
  },
  "CAP_68f207ed": {
   "en": "Imaging Sonar Graph SLAM",
   "zh": "成像声纳位姿图SLAM定位",
   "level": "l2"
  },
  "CAP_a9ddeeaa": {
   "en": "Sonar Image Acquisition",
   "zh": "声纳图像采集",
   "level": "l3"
  },
  "CAP_97ae1136": {
   "en": "DVL IMU Dead Reckoning Init",
   "zh": "DVL IMU死算初值",
   "level": "l3"
  },
  "CAP_4f9e086a": {
   "en": "Sonar Image To Point Cloud",
   "zh": "声纳图像转点云",
   "level": "l3"
  },
  "CAP_9d4cbdcb": {
   "en": "Sonar Point Cloud Registration",
   "zh": "声纳点云配准",
   "level": "l3"
  },
  "CAP_56ad6974": {
   "en": "ISAM2 Pose Graph SLAM",
   "zh": "ISAM2位姿图SLAM",
   "level": "l3"
  },
  "CAP_342df8c9": {
   "en": "EM Virtual Landmark Sonar Exploration Navigation",
   "zh": "EM虚拟路标声纳探索导航",
   "level": "l3"
  },
  "CAP_80c83331": {
   "en": "Sonar Structure-Relative Navigation",
   "zh": "声纳结构相对导航",
   "level": "l2"
  },
  "CAP_595beac7": {
   "en": "Structure Contour Extraction from Sonar",
   "zh": "声纳结构轮廓提取",
   "level": "l3"
  },
  "CAP_45a0667b": {
   "en": "Structure-Relative Pose EKF Estimation",
   "zh": "结构相对位姿EKF估计",
   "level": "l3"
  },
  "CAP_fd01bdcd": {
   "en": "Relative Transect Path Planning",
   "zh": "相对断面路径规划",
   "level": "l3"
  },
  "CAP_111d437d": {
   "en": "Relative Pose Closed-Loop Control",
   "zh": "相对位姿闭环控制",
   "level": "l3"
  },
  "CAP_9b7d2e58": {
   "en": "INS DR and Search Window",
   "zh": "INS航位推算与搜索窗口预测",
   "level": "l3"
  },
  "CAP_7a1b3c2d": {
   "en": "Wave-Theoretic Sonar Channel Modeling Pipeline",
   "zh": "波动方程声呐信道建模管线",
   "level": "l2"
  },
  "CAP_1e4f5a6b": {
   "en": "Underwater Acoustic Environment Definition",
   "zh": "水下声学环境定义",
   "level": "l3"
  },
  "CAP_2d8c9e0f": {
   "en": "BELLHOP Gaussian Beam Propagation Solver Invocation",
   "zh": "BELLHOP 高斯束传播求解器调用",
   "level": "l3"
  },
  "CAP_3f7a1b4c": {
   "en": "Transmission Loss Field Computation",
   "zh": "传播损失场计算",
   "level": "l3"
  },
  "CAP_4d2e5f8a": {
   "en": "Eigenray and Arrival Extraction",
   "zh": "本征声线与到达序列提取",
   "level": "l3"
  },
  "CAP_5f6c9d1e": {
   "en": "Acoustic Channel Impulse Response Synthesis",
   "zh": "声学信道冲激响应合成",
   "level": "l3"
  },
  "CAP_8b3d7f1a": {
   "en": "Rendering-Based Sonar Image Sensor Simulation Pipeline",
   "zh": "渲染式声呐图像传感器仿真管线",
   "level": "l2"
  },
  "CAP_9c4e2a6f": {
   "en": "Underwater World Scenario Loading",
   "zh": "水下世界场景加载",
   "level": "l3"
  },
  "CAP_0d5f3b7c": {
   "en": "Sonar Sensor Configuration and Attachment",
   "zh": "声呐传感器配置与挂载",
   "level": "l3"
  },
  "CAP_ea76b9b6": {
   "en": "Octree-Based Sonar Image Rendering",
   "zh": "八叉树加速声呐图像渲染",
   "level": "l3"
  },
  "CAP_2f7b5d9e": {
   "en": "Multipath and Probabilistic Noise Augmentation",
   "zh": "多途与概率噪声增强",
   "level": "l3"
  },
  "CAP_3a8c6e0f": {
   "en": "Sonar Image Output and ROS/Gym Interface",
   "zh": "声呐图像输出与 ROS/Gym 接口",
   "level": "l3"
  },
  "CAP_237228d4": {
   "en": "SORT Tracking-by-Detection Pipeline",
   "zh": "SORT 检测驱动跟踪流水线",
   "level": "l2"
  },
  "CAP_ebcd953a": {
   "en": "Constant-Velocity Kalman Bbox Tracker",
   "zh": "常速卡尔曼边界框跟踪器",
   "level": "l3"
  },
  "CAP_d07f7a69": {
   "en": "Detection Format Normalization",
   "zh": "检测格式归一化",
   "level": "l3"
  },
  "CAP_7e3f5b91": {
   "en": "Detection Score Splitting",
   "zh": "检测分数分桶",
   "level": "l3"
  },
  "CAP_fa9ec212": {
   "en": "Width-Height KF State Parameterization",
   "zh": "宽高分离卡尔曼状态参数化",
   "level": "l3"
  },
  "CAP_bf03fa0f": {
   "en": "Image Source Method RIR Generation",
   "zh": "镜像源法 RIR 生成",
   "level": "l3"
  },
  "CAP_18289406": {
   "en": "Classical DOA Algorithm Evaluation",
   "zh": "经典 DOA 算法评估",
   "level": "l3"
  },
  "CAP_981cd2aa": {
   "en": "SELD Model Inference",
   "zh": "SELD 模型推理",
   "level": "l2"
  },
  "CAP_27b33a4a": {
   "en": "SELD Metric Computation",
   "zh": "SELD联合度量计算",
   "level": "l3"
  },
  "CAP_9e759048": {
   "en": "SourcePositionOutput",
   "zh": "声源位置输出",
   "level": "l3"
  },
  "CAP_3b4f1092": {
   "en": "DOARegressionOutput",
   "zh": "DOA回归输出",
   "level": "l3"
  },
  "CAP_900db0eb": {
   "en": "SELD Postprocess Decode",
   "zh": "SELD后处理解码",
   "level": "l3"
  },
  "CAP_a1fe88bc": {
   "en": "ORB Feature Extraction and BoW Encoding",
   "zh": "ORB特征提取与词袋编码",
   "level": "l2"
  },
  "CAP_ee226d92": {
   "en": "Relocalization Candidate Retrieval",
   "zh": "重定位候选关键帧检索",
   "level": "l3"
  },
  "CAP_d6463e7b": {
   "en": "PnP Pose Estimation and Refinement",
   "zh": "PnP位姿估计与精化",
   "level": "l2"
  },
  "CAP_791f2a1f": {
   "en": "Learned Local Feature Extraction and Matching",
   "zh": "学习型局部特征提取与匹配",
   "level": "l2"
  },
  "CAP_335a5335": {
   "en": "Confidence-Weighted Hypothesis Sampling",
   "zh": "置信度加权假设采样",
   "level": "l3"
  },
  "CAP_e7f348c4": {
   "en": "Differentiable Hypothesis Scoring",
   "zh": "可微假设评分",
   "level": "l3"
  },
  "CAP_54436480": {
   "en": "Dense Feature Extraction and Reference Selection",
   "zh": "稠密特征提取与参考选择",
   "level": "l2"
  },
  "CAP_9c05db08": {
   "en": "Reference-Based Pose Initialization",
   "zh": "基于参考的位姿初始化",
   "level": "l3"
  },
  "CAP_cb3a07e2": {
   "en": "Learned LM Feature Alignment",
   "zh": "学习型LM特征对齐",
   "level": "l3"
  },
  "CAP_7c6e2348": {
   "en": "Multi-View Pose Fusion",
   "zh": "多视图位姿融合",
   "level": "l3"
  },
  "CAP_0330d96d": {
   "en": "CNN Feature Extraction for Pose",
   "zh": "位姿回归CNN特征提取",
   "level": "l3"
  },
  "CAP_a88cf9cc": {
   "en": "Pose Regression Head",
   "zh": "位姿回归头",
   "level": "l3"
  },
  "CAP_58241402": {
   "en": "Scene-Specific Training",
   "zh": "场景特定模型训练",
   "level": "l2"
  },
  "CAP_48a5b760": {
   "en": "Scene-Specific Fine-tuning",
   "zh": "场景特定微调",
   "level": "l3"
  },
  "CAP_815c1f66": {
   "en": "Pose Training Data Augmentation",
   "zh": "位姿训练数据增强",
   "level": "l3"
  },
  "CAP_62176c37": {
   "en": "Feature Mask Management",
   "zh": "特征点掩码管理",
   "level": "l3"
  },
  "CAP_eea85161": {
   "en": "Pyramidal LK Optical Flow Tracking",
   "zh": "金字塔 LK 光流跟踪",
   "level": "l3"
  },
  "CAP_efe0e8fb": {
   "en": "Forward-Backward Error Verification",
   "zh": "前向后向误差验证",
   "level": "l3"
  },
  "CAP_d0c7e01a": {
   "en": "Optical Flow Visualization",
   "zh": "光流可视化",
   "level": "l3"
  },
  "CAP_18bf4a09": {
   "en": "KLT Feature Redetection Trigger",
   "zh": "KLT 特征重检测触发",
   "level": "l3"
  },
  "CAP_9695c7d0": {
   "en": "Hessian Precomputation for IC-LK",
   "zh": "IC-LK Hessian 预计算",
   "level": "l3"
  },
  "CAP_aa8cf18a": {
   "en": "Sub-pixel Image Interpolation",
   "zh": "亚像素图像插值",
   "level": "l3"
  },
  "CAP_cb338243": {
   "en": "Inverse Compositional Warp Update",
   "zh": "逆合成 warp 更新",
   "level": "l3"
  },
  "CAP_ab8d13e3": {
   "en": "Keyframe Feature Projection",
   "zh": "关键帧特征投影",
   "level": "l3"
  },
  "CAP_f4229177": {
   "en": "Future Strategy Goal Relabeling",
   "zh": "未来策略目标重标记",
   "level": "l3"
  },
  "CAP_38c2bd2c": {
   "en": "Final Strategy Goal Relabeling",
   "zh": "最终策略目标重标记",
   "level": "l3"
  },
  "CAP_14adef7e": {
   "en": "Multi-Goal Reward Computation",
   "zh": "多目标奖励计算",
   "level": "l3"
  },
  "CAP_537e46be": {
   "en": "Hierarchical RL for Sparse Reward",
   "zh": "层次强化学习稀疏奖励处理",
   "level": "l2"
  },
  "CAP_e990e8f4": {
   "en": "Nested k-Level Hierarchy Commitment",
   "zh": "k 层嵌套层级 commitment",
   "level": "l3"
  },
  "CAP_d44a357d": {
   "en": "Generic Auxiliary Task Design",
   "zh": "通用辅助任务设计",
   "level": "l3"
  },
  "CAP_5d4326fc": {
   "en": "HER Replay Buffer Storage",
   "zh": "HER重标记经验回放存储",
   "level": "l3"
  },
  "CAP_66a93d5f": {
   "en": "HER Mixed Buffer Sampling",
   "zh": "HER混合缓冲采样",
   "level": "l3"
  },
  "CAP_35b95b5e": {
   "en": "Off-Policy Actor-Critic Update",
   "zh": "离策略Actor-Critic更新",
   "level": "l3"
  },
  "CAP_0652166e": {
   "en": "Target Network Soft Update",
   "zh": "目标网络软更新",
   "level": "l3"
  },
  "CAP_ccbefb9c": {
   "en": "SoID Start Filtering",
   "zh": "SoID起态过滤",
   "level": "l3"
  },
  "CAP_2883aa3d": {
   "en": "Goal-Reaching TRPO Training",
   "zh": "目标导向TRPO训练",
   "level": "l3"
  },
  "CAP_a8103e7a": {
   "en": "Replay Buffer Anti-Forgetting",
   "zh": "回放缓冲防遗忘",
   "level": "l3"
  },
  "CAP_22d8a638": {
   "en": "SAC-X Main Task Learning",
   "zh": "SAC-X主任务学习",
   "level": "l3"
  },
  "CAP_cdd18655": {
   "en": "SAC-X Policy Deployment",
   "zh": "SAC-X策略部署",
   "level": "l3"
  },
  "CAP_7c63c9fb": {
   "en": "GNN-based Spatial Relation Reasoning",
   "zh": "图神经网络空间推理",
   "level": "l3"
  },
  "CAP_175406a7": {
   "en": "Constraint Satisfaction Motion Planning",
   "zh": "约束满足运动规划",
   "level": "l2"
  },
  "CAP_10a79e83": {
   "en": "Programmatic Spatial Constraint Synthesis",
   "zh": "程序化空间约束合成",
   "level": "l2"
  },
  "CAP_c0b54b92": {
   "en": "Value-Map-Guided Motion Optimization",
   "zh": "价值图引导运动优化",
   "level": "l3"
  },
  "CAP_a7e6e38c": {
   "en": "Constraint Static Verification",
   "zh": "约束静态核查",
   "level": "l3"
  },
  "CAP_6eac2889": {
   "en": "Natural Language Spatial Query Encoding",
   "zh": "自然语言空间查询编码",
   "level": "l3"
  },
  "CAP_5d042acc": {
   "en": "Cross-Modal Proposal-Language Matching",
   "zh": "跨模态候选框-语言匹配",
   "level": "l3"
  },
  "CAP_5fbfccf9": {
   "en": "3D Bounding Box Refinement",
   "zh": "3D边界框精炼",
   "level": "l3"
  },
  "CAP_f0778d2c": {
   "en": "VLM-Based Spatial Grounding Pipeline",
   "zh": "基于VLM的空间定位管线",
   "level": "l2"
  },
  "CAP_d041c9ef": {
   "en": "Internet-Scale Spatial VQA Data Generation",
   "zh": "互联网规模空间VQA数据生成",
   "level": "l3"
  },
  "CAP_fa7b9b29": {
   "en": "Dual-Stream Visual Encoding (RGB+Depth)",
   "zh": "双流视觉编码(RGB+深度)",
   "level": "l3"
  },
  "CAP_a17a29d7": {
   "en": "Region-Level Spatial Feature Extraction",
   "zh": "区域级空间特征提取",
   "level": "l3"
  },
  "CAP_af83ca37": {
   "en": "Chain-of-Thought Spatial Reasoning with VLM",
   "zh": "VLM思维链空间推理",
   "level": "l3"
  },
  "CAP_50b31224": {
   "en": "Metric Depth Estimation for Spatial Grounding",
   "zh": "面向空间定位的度量深度估计",
   "level": "l3"
  },
  "CAP_40c96610": {
   "en": "Spatial Relation Parsing & Reasoning Pipeline",
   "zh": "空间关系解析与推理管线",
   "level": "l2"
  },
  "CAP_d8f01610": {
   "en": "Spatial Language Dependency Parsing",
   "zh": "空间语言依赖解析",
   "level": "l3"
  },
  "CAP_b5efc44f": {
   "en": "3D Spatial Relation Graph Construction",
   "zh": "3D空间关系图构建",
   "level": "l3"
  },
  "CAP_477b19e8": {
   "en": "Compositional Spatial Query Grounding",
   "zh": "组合空间查询定位",
   "level": "l3"
  },
  "CAP_f79434af": {
   "en": "Spatial Language Encoding",
   "zh": "空间语言编码",
   "level": "l3"
  },
  "CAP_b524a400": {
   "en": "Spatial Relation Feature Extraction",
   "zh": "空间关系特征提取",
   "level": "l3"
  },
  "CAP_34a744a7": {
   "en": "(u,v,d) Decoupled Coordinate Generation",
   "zh": "(u,v,d)解耦坐标生成",
   "level": "l3"
  },
  "CAP_a14838ad": {
   "en": "Geometric Room Layout Preprocessing",
   "zh": "几何房间布局预处理",
   "level": "l2"
  },
  "CAP_7c78552e": {
   "en": "Panoramic Gravity Alignment",
   "zh": "全景重力对齐",
   "level": "l3"
  },
  "CAP_8273bf66": {
   "en": "Panoramic CNN Feature Extraction",
   "zh": "全景 CNN 特征提取",
   "level": "l3"
  },
  "CAP_ca57eeb2": {
   "en": "Geometric 1D Layout Representation Prediction",
   "zh": "几何 1D 布局表示预测",
   "level": "l2"
  },
  "CAP_a51940fa": {
   "en": "1D Layout Representation Prediction",
   "zh": "1D 布局表示预测",
   "level": "l3"
  },
  "CAP_6fdf18c9": {
   "en": "Geometric 3D Layout Reconstruction",
   "zh": "几何 3D 布局重建",
   "level": "l2"
  },
  "CAP_718bb508": {
   "en": "Manhattan 3D Layout Reconstruction",
   "zh": "曼哈顿 3D 布局重建",
   "level": "l3"
  },
  "CAP_fd640ee7": {
   "en": "Hierarchical Metric-Semantic Mapping",
   "zh": "层级度量-语义建图",
   "level": "l2"
  },
  "CAP_57336fdd": {
   "en": "Metric-Semantic Reconstruction",
   "zh": "度量-语义重建",
   "level": "l3"
  },
  "CAP_c26aac25": {
   "en": "Hierarchical Instance Association",
   "zh": "层级实例关联",
   "level": "l2"
  },
  "CAP_687c65b6": {
   "en": "Instance Segmentation and Multi-view Association",
   "zh": "实例分割与多视图关联",
   "level": "l3"
  },
  "CAP_41fd70b5": {
   "en": "Hierarchical Scene Graph Prediction",
   "zh": "层级场景图预测",
   "level": "l2"
  },
  "CAP_08f7a9a6": {
   "en": "Scene Graph Node/Edge Prediction",
   "zh": "场景图节点/边预测",
   "level": "l3"
  },
  "CAP_0b046748": {
   "en": "Hierarchical Scene Graph Aggregation",
   "zh": "层级场景图聚合",
   "level": "l2"
  },
  "CAP_cbb016b8": {
   "en": "Hierarchical Aggregation to DSG",
   "zh": "层级聚合到 DSG",
   "level": "l3"
  },
  "CAP_4f2ec592": {
   "en": "VLM Spatial Data Synthesis",
   "zh": "VLM 空间数据合成",
   "level": "l2"
  },
  "CAP_20398294": {
   "en": "VLM Depth Plugin Fusion",
   "zh": "VLM 深度插件融合",
   "level": "l2"
  },
  "CAP_b4d71707": {
   "en": "Metric Depth Plugin for VLM",
   "zh": "VLM 度量深度插件",
   "level": "l3"
  },
  "CAP_94c341db": {
   "en": "VLM Spatial Reasoning Training",
   "zh": "VLM 空间推理训练",
   "level": "l2"
  },
  "CAP_c9b9fab2": {
   "en": "Spatial VLM Fine-tuning",
   "zh": "空间 VLM 微调",
   "level": "l3"
  },
  "CAP_395e1d85": {
   "en": "VLM Spatial Reasoning Evaluation",
   "zh": "VLM 空间推理评估",
   "level": "l2"
  },
  "CAP_446753da": {
   "en": "Bio-inspired Visual Odometry",
   "zh": "仿生视觉里程计",
   "level": "l2"
  },
  "CAP_19574b90": {
   "en": "Bio-inspired Odometry Estimation",
   "zh": "仿生里程计估计",
   "level": "l3"
  },
  "CAP_0200caaa": {
   "en": "Bio-inspired Pose Cell Network",
   "zh": "仿生位姿细胞网络",
   "level": "l2"
  },
  "CAP_e74cd713": {
   "en": "Continuous Attractor Pose Cell Network",
   "zh": "连续吸引子位姿细胞网络",
   "level": "l3"
  },
  "CAP_ad8c3680": {
   "en": "Bio-inspired Experience Map",
   "zh": "仿生经验地图",
   "level": "l2"
  },
  "CAP_f5ff7886": {
   "en": "Bio-inspired Loop Closure and Correction",
   "zh": "仿生闭环检测与修正",
   "level": "l2"
  },
  "CAP_6b67592e": {
   "en": "Spatial Ontology Loading and OWL Object Model Construction",
   "zh": "空间本体加载与 OWL 对象模型构建",
   "level": "l2"
  },
  "CAP_339557c5": {
   "en": "Spatial Object Property Axiom Definition",
   "zh": "空间对象属性公理定义",
   "level": "l3"
  },
  "CAP_3724760c": {
   "en": "Spatial Ontology DL Reasoner Instantiation and Binding",
   "zh": "空间本体 DL 推理器实例化与绑定",
   "level": "l3"
  },
  "CAP_d23ef1a6": {
   "en": "Spatial Relation DL Reasoning Service Query",
   "zh": "空间关系 DL 推理服务查询",
   "level": "l3"
  },
  "CAP_0c3fde14": {
   "en": "Spatial Relation Prolog Rule Authoring",
   "zh": "空间关系 Prolog 规则编写",
   "level": "l3"
  },
  "CAP_a007ab36": {
   "en": "Spatial Relation SWRL Rule Definition",
   "zh": "空间关系 SWRL 规则定义",
   "level": "l3"
  },
  "CAP_c255db16": {
   "en": "KnowRob Robot Spatial Scenario Application",
   "zh": "KnowRob 机器人空间场景应用",
   "level": "l3"
  },
  "CAP_a65279e4": {
   "en": "GeoSPARQL Extended RDF Store Setup and Spatial Ontology Loading",
   "zh": "GeoSPARQL 扩展 RDF 存储创建与空间本体加载",
   "level": "l2"
  },
  "CAP_e3550ea8": {
   "en": "Spatial Geometry Data Import and geo:Feature Instantiation",
   "zh": "空间几何数据导入与 geo:Feature 实例化",
   "level": "l3"
  },
  "CAP_fc5d7d21": {
   "en": "Spatial Index Configuration and GeoSPARQL Function Registration",
   "zh": "空间索引配置与 GeoSPARQL 函数注册",
   "level": "l3"
  },
  "CAP_dea46c92": {
   "en": "Spatial Relation Ontology Inference and Export",
   "zh": "空间关系本体推断与导出",
   "level": "l3"
  },
  "CAP_7b615e3c": {
   "en": "Large Scale Spatial Knowledge Base Application",
   "zh": "大规模空间知识库应用",
   "level": "l3"
  },
  "CAP_727d02cb": {
   "en": "Cross-Modal Spatial Fusion",
   "zh": "跨模态空间融合",
   "level": "l2"
  },
  "CAP_f00355ea": {
   "en": "3D Grounding Output Postprocessing",
   "zh": "3D 定位结果后处理",
   "level": "l2"
  },
  "CAP_212e8a30": {
   "en": "Language-to-Object Category Classification",
   "zh": "语言到物体类别辅助分类",
   "level": "l3"
  },
  "CAP_53243eac": {
   "en": "Text-Guided Voxel Pruning",
   "zh": "文本引导体素剪枝",
   "level": "l3"
  },
  "CAP_fbf300dd": {
   "en": "Completion-Based Feature Addition",
   "zh": "补全式特征融合",
   "level": "l3"
  },
  "CAP_0f2ee5c984": {
   "en": "3D Bounding Box Regression",
   "zh": "三维边界框回归",
   "level": "l3"
  },
  "CAP_a8e217f2": {
   "en": "Scene-Level Image Filtering",
   "zh": "场景级图像过滤",
   "level": "l3"
  },
  "CAP_dd0d7389": {
   "en": "Template-Based Spatial QA Generation",
   "zh": "模板空间问答生成",
   "level": "l3"
  },
  "CAP_9ee4f77d": {
   "en": "Ambiguity Removal",
   "zh": "歧义消除",
   "level": "l3"
  },
  "CAP_e4eff32d": {
   "en": "Human-Aligned Numeric Rounding",
   "zh": "人类对齐数值舍入",
   "level": "l3"
  },
  "CAP_d95fe831": {
   "en": "LLM-Based Complex Reasoning QA",
   "zh": "LLM复杂推理问答生成",
   "level": "l3"
  },
  "CAP_d43c5eec": {
   "en": "SpatialVLM PaLM-E Fine-Tuning",
   "zh": "SpatialVLM PaLM-E 微调",
   "level": "l3"
  },
  "CAP_854a0104": {
   "en": "SpatialRGPT VILA Three-Stage Training",
   "zh": "SpatialRGPT VILA 三阶段训练",
   "level": "l3"
  },
  "CAP_bf694048": {
   "en": "Region-Aware Spatial Grounding",
   "zh": "区域感知空间定位",
   "level": "l3"
  },
  "CAP_f6f4c3cc": {
   "en": "Visual Verification",
   "zh": "视觉验证",
   "level": "l3"
  },
  "CAP_690b0be8": {
   "en": "Action Planning",
   "zh": "动作规划",
   "level": "l3"
  },
  "CAP_b950033e": {
   "en": "3D Geometric Feature Extraction",
   "zh": "3D几何特征提取",
   "level": "l2"
  },
  "CAP_466efcea": {
   "en": "Geometric Spatial Predicate Computation",
   "zh": "几何空间谓词计算",
   "level": "l3"
  },
  "CAP_9113c4ad": {
   "en": "Spatial Relation Filtering and Post-Processing",
   "zh": "空间关系过滤与后处理",
   "level": "l3"
  },
  "CAP_d79e6ead": {
   "en": "GNN Object Node Feature Encoding",
   "zh": "GNN物体节点特征编码",
   "level": "l3"
  },
  "CAP_cb4c3bee": {
   "en": "GNN Pairwise Relation Feature Construction",
   "zh": "GNN物体对关系特征构建",
   "level": "l2"
  },
  "CAP_0419304f": {
   "en": "GNN Relation Classification Post-Processing",
   "zh": "GNN关系分类后处理",
   "level": "l3"
  },
  "CAP_b32ef376": {
   "en": "VLM Spatial Relation Result Post-Processing",
   "zh": "VLM空间关系结果后处理",
   "level": "l3"
  },
  "CAP_718c4ff6": {
   "en": "Object Geometry Feature Computation",
   "zh": "物体几何特征计算",
   "level": "l3"
  },
  "CAP_dc4d8573": {
   "en": "Pairwise Relation Feature Concatenation",
   "zh": "物体对关系特征拼接",
   "level": "l3"
  },
  "CAP_12aa3bc0": {
   "en": "Symbolic Spatial Parsing Pipeline",
   "zh": "符号化空间关系解析管线",
   "level": "l2"
  },
  "CAP_64a7ec8f": {
   "en": "Tokenization and POS Tagging",
   "zh": "空间指令分词与词性标注",
   "level": "l3"
  },
  "CAP_88324011": {
   "en": "Dependency Parsing for Spatial Instructions",
   "zh": "空间指令依存分析",
   "level": "l3"
  },
  "CAP_21d36a16": {
   "en": "Prepositional Phrase Identification",
   "zh": "介词短语识别",
   "level": "l3"
  },
  "CAP_3776720f": {
   "en": "Spatial Preposition Classification",
   "zh": "空间介词分类",
   "level": "l3"
  },
  "CAP_49599350": {
   "en": "Spatial Relation Triple Construction",
   "zh": "空间关系三元组建构",
   "level": "l3"
  },
  "CAP_5993d5f1": {
   "en": "Object Detection for Spatial Grounding",
   "zh": "面向空间接地的物体检测",
   "level": "l3"
  },
  "CAP_6056c396": {
   "en": "Text-to-Object Semantic Alignment",
   "zh": "文本-物体语义对齐",
   "level": "l3"
  },
  "CAP_1483a459": {
   "en": "Spatial Constraint Formulation",
   "zh": "空间约束公式化",
   "level": "l3"
  },
  "CAP_4fa476eb": {
   "en": "Geometric Constraint Solver",
   "zh": "几何约束求解器",
   "level": "l3"
  },
  "CAP_535528da": {
   "en": "VLM End-to-End Spatial Reasoning Pipeline",
   "zh": "基于VLM的端到端空间推理管线",
   "level": "l2"
  },
  "CAP_d77a5612": {
   "en": "VLM Image Encoding for Spatial Tasks",
   "zh": "面向空间任务的VLM视觉编码",
   "level": "l3"
  },
  "CAP_add99d7e": {
   "en": "VLM Instruction Tokenization",
   "zh": "面向空间VLM的指令分词",
   "level": "l3"
  },
  "CAP_849e1b28": {
   "en": "Multimodal Fusion for Spatial Reasoning",
   "zh": "面向空间推理的多模态融合",
   "level": "l3"
  },
  "CAP_f138e9d0": {
   "en": "Spatial VQA Inference",
   "zh": "空间VQA推理",
   "level": "l3"
  },
  "CAP_656f27a8": {
   "en": "Spatial Trace Generation",
   "zh": "空间轨迹生成",
   "level": "l3"
  },
  "CAP_b76b322a": {
   "en": "VLM Coordinate Refinement",
   "zh": "VLM-机器人坐标校准",
   "level": "l3"
  },
  "CAP_d2aa6bc8": {
   "en": "Feasibility Check and Pose Output",
   "zh": "空间可行性检查与位姿输出",
   "level": "l3"
  },
  "CAP_1b8a1853": {
   "en": "Keypoint Proposal for Spatial Relations",
   "zh": "空间关系关键点提议",
   "level": "l2"
  },
  "CAP_4dc853e5": {
   "en": "VLM-Powered Constraint Code Generation",
   "zh": "VLM 驱动的约束代码生成",
   "level": "l3"
  },
  "CAP_9b4b2f78": {
   "en": "Keypoint Constraint Optimization",
   "zh": "关键点约束优化",
   "level": "l2"
  },
  "CAP_cf618bfd": {
   "en": "Spatio-Temporal Constraint Satisfaction",
   "zh": "时空约束满足",
   "level": "l3"
  },
  "CAP_fcd267f7": {
   "en": "Keypoint-to-Robot Trajectory Execution",
   "zh": "关键点-机器人轨迹执行",
   "level": "l2"
  },
  "CAP_47fada26": {
   "en": "3D Scene Understanding for Spatial Grounding",
   "zh": "面向空间接地的3D场景理解",
   "level": "l2"
  },
  "CAP_04e8a739": {
   "en": "3D Spatial Language Grounding",
   "zh": "3D空间语言接地",
   "level": "l2"
  },
  "CAP_5dcbbf4f": {
   "en": "Visual-Language Grounding Score",
   "zh": "视觉-语言接地分数",
   "level": "l3"
  },
  "CAP_e544bf8d": {
   "en": "3D-to-Constraint Derivation",
   "zh": "3D到约束的推导",
   "level": "l2"
  },
  "CAP_ccb0cb19": {
   "en": "Keypoint Extraction from DINOv2 and SAM",
   "zh": "基于DINOv2和SAM的关键点提取",
   "level": "l3"
  },
  "CAP_9f16ed70": {
   "en": "Constraint Parsing and Validation",
   "zh": "约束解析与验证",
   "level": "l3"
  },
  "CAP_32470a1a": {
   "en": "Optimization Problem Setup for Keypoint Constraints",
   "zh": "关键点约束优化问题构建",
   "level": "l3"
  },
  "CAP_58b61be1": {
   "en": "Inverse Kinematics for Keypoint Trajectory",
   "zh": "关键点轨迹逆运动学求解",
   "level": "l3"
  },
  "CAP_8f3d148d": {
   "en": "Motion Planning for Keypoint Trajectory",
   "zh": "关键点轨迹运动规划",
   "level": "l3"
  },
  "CAP_6ede8532": {
   "en": "3D Scene Encoding for Spatial Grounding",
   "zh": "面向空间接地的3D场景编码",
   "level": "l3"
  },
  "CAP_c7f563b3": {
   "en": "Language Encoding for 3D Visual Grounding",
   "zh": "面向3D视觉接地的语言编码",
   "level": "l3"
  },
  "CAP_d64743b3": {
   "en": "Object Selection for 3D Visual Grounding",
   "zh": "3D视觉接地物体选择",
   "level": "l3"
  },
  "CAP_270b0b9a": {
   "en": "Spatial Relation Inference from 3D Bounding Boxes",
   "zh": "从3D边界框反推空间关系",
   "level": "l3"
  },
  "CAP_319b80c9": {
   "en": "Coordinate Constraint from 3D Grounding",
   "zh": "3D接地坐标约束计算",
   "level": "l3"
  },
  "CAP_ab6076ee": {
   "en": "Scene Graph Edge Inference",
   "zh": "场景图空间关系边推断",
   "level": "l3"
  },
  "CAP_2924dd68": {
   "en": "VLM Spatial Data Generation Pipeline",
   "zh": "VLM 空间推理数据生成流水线",
   "level": "l3"
  },
  "CAP_6e5fc082": {
   "en": "QSR Formal Logic Spatial Relation Reasoning",
   "zh": "QSR 形式逻辑空间关系推理",
   "level": "l2"
  },
  "CAP_3b701e0e": {
   "en": "QSR Calculus Selection and Algebra Loading",
   "zh": "QSR 演算选择与代数加载",
   "level": "l3"
  },
  "CAP_72fbc2c3": {
   "en": "Cardinal Direction Reasoning",
   "zh": "方向关系推理",
   "level": "l3"
  },
  "CAP_20985340": {
   "en": "QSR Relation Instantiation",
   "zh": "QSR 关系实例化",
   "level": "l3"
  },
  "CAP_460871ad": {
   "en": "QSR Relation Formalization",
   "zh": "QSR 关系形式化",
   "level": "l3"
  },
  "CAP_e23cd190": {
   "en": "QSR Constraint Propagation",
   "zh": "QSR 约束传播",
   "level": "l3"
  },
  "CAP_b8666811": {
   "en": "QSR Spatial Relation Query Output",
   "zh": "QSR 空间关系查询输出",
   "level": "l3"
  },
  "CAP_742579b7": {
   "en": "Pairwise Spatial Relation Computation",
   "zh": "逐对空间关系计算",
   "level": "l2"
  },
  "CAP_3a61dc4e": {
   "en": "Pairwise Relative Transform Query",
   "zh": "逐对相对变换查询",
   "level": "l3"
  },
  "CAP_4f9ffcba": {
   "en": "3D Bounding Box Geometry Computation",
   "zh": "三维包围盒几何计算",
   "level": "l3"
  },
  "CAP_40b709ab": {
   "en": "Spatial Relation Classification",
   "zh": "空间关系分类",
   "level": "l2"
  },
  "CAP_80b1ce9c": {
   "en": "Angular Spatial Relation Classification",
   "zh": "方位空间关系分类",
   "level": "l3"
  },
  "CAP_8219539b": {
   "en": "Topological Relation Classification",
   "zh": "拓扑关系分类",
   "level": "l3"
  },
  "CAP_964eb949": {
   "en": "Spatial Relation Graph Serialization",
   "zh": "空间关系图序列化",
   "level": "l3"
  },
  "CAP_71efd298": {
   "en": "PointNet++ Object Point Cloud Encoding",
   "zh": "PointNet++物体点云编码",
   "level": "l3"
  },
  "CAP_3e6e754a": {
   "en": "Object Pair Feature Construction",
   "zh": "物体对特征构建",
   "level": "l2"
  },
  "CAP_6705d684": {
   "en": "Object Node Feature Aggregation",
   "zh": "物体节点特征聚合",
   "level": "l3"
  },
  "CAP_654c1a82": {
   "en": "Edge Feature Computation",
   "zh": "边特征计算",
   "level": "l3"
  },
  "CAP_54066df7": {
   "en": "GCN Message Passing for Relation Prediction",
   "zh": "GCN消息传递关系预测",
   "level": "l3"
  },
  "CAP_3a0f52ea13": {
   "en": "Scene Graph Assembly & Optimization",
   "zh": "场景图组装与优化",
   "level": "l2"
  },
  "CAP_73d99747": {
   "en": "2D Foundation Model Perception",
   "zh": "2D基础模型感知",
   "level": "l2"
  },
  "CAP_633fa55f": {
   "en": "Grounded-SAM 2D Object Detection & Segmentation",
   "zh": "Grounded-SAM二维物体检测与分割",
   "level": "l3"
  },
  "CAP_cef134aa": {
   "en": "CLIP Per-Region Feature Extraction",
   "zh": "CLIP区域特征提取",
   "level": "l3"
  },
  "CAP_c94b5b43": {
   "en": "Multi-View 3D Object Mapping",
   "zh": "多视图3D物体建图",
   "level": "l2"
  },
  "CAP_606d1edc": {
   "en": "Multi-View Object Fusion & DBSCAN Clustering",
   "zh": "多视图物体融合与DBSCAN聚类",
   "level": "l3"
  },
  "CAP_46b72dcf": {
   "en": "3D Point Cloud CLIP Feature Distillation",
   "zh": "三维点云CLIP特征蒸馏",
   "level": "l3"
  },
  "CAP_0b22e950": {
   "en": "VLM-Driven Object Understanding",
   "zh": "VLM驱动物体理解",
   "level": "l2"
  },
  "CAP_9988d8c5": {
   "en": "LLaVA Object Caption Generation",
   "zh": "LLaVA物体描述生成",
   "level": "l3"
  },
  "CAP_f32ed9f9": {
   "en": "GPT-4 Object Caption Refinement",
   "zh": "GPT-4物体描述精炼",
   "level": "l3"
  },
  "CAP_cc887947": {
   "en": "LLM-Based Scene Graph Reasoning",
   "zh": "LLM场景图推理",
   "level": "l2"
  },
  "CAP_a27f12aa69": {
   "en": "GPT-4 Spatial Relation Scene Graph Construction",
   "zh": "GPT-4空间关系场景图构建",
   "level": "l3"
  },
  "CAP_ec187e01": {
   "en": "Open-Vocabulary 3D Scene Graph Visualization",
   "zh": "开放词汇三维场景图可视化",
   "level": "l3"
  },
  "CAP_4bd90271": {
   "en": "Optical Flow Stacking",
   "zh": "光流堆叠",
   "level": "l3"
  },
  "CAP_f0117111": {
   "en": "Spatial Stream CNN Inference",
   "zh": "空间流CNN推理",
   "level": "l3"
  },
  "CAP_90b66a76": {
   "en": "Temporal Stream CNN Inference",
   "zh": "时间流CNN推理",
   "level": "l3"
  },
  "CAP_915fbd4e": {
   "en": "Cross-Modality Pretraining",
   "zh": "跨模态预训练",
   "level": "l3"
  },
  "CAP_1902be62": {
   "en": "Multi-Crop Testing",
   "zh": "多裁剪测试",
   "level": "l3"
  },
  "CAP_ea1a7cd1": {
   "en": "2D-to-3D Filter Inflation",
   "zh": "2D到3D滤波器膨胀",
   "level": "l3"
  },
  "CAP_f7d40c03": {
   "en": "Spatiotemporal Convolution Factorization",
   "zh": "时空卷积分解",
   "level": "l3"
  },
  "CAP_06485efc": {
   "en": "Dual Frame Rate Sampling",
   "zh": "双帧率采样",
   "level": "l3"
  },
  "CAP_1494f63d": {
   "en": "Slow Pathway 3D CNN",
   "zh": "慢路径3D CNN",
   "level": "l3"
  },
  "CAP_221a913b": {
   "en": "Fast Pathway 3D CNN",
   "zh": "快路径3D CNN",
   "level": "l3"
  },
  "CAP_14c85ad2": {
   "en": "Divided Space-Time Attention",
   "zh": "分离时空注意力",
   "level": "l3"
  },
  "CAP_bd67dfd7": {
   "en": "Factorised Spatiotemporal Encoding",
   "zh": "分解时空编码",
   "level": "l3"
  },
  "CAP_32ada595": {
   "en": "Particle Graph Network Forward Simulation",
   "zh": "粒子图网络前向仿真",
   "level": "l2"
  },
  "CAP_39e4ea00": {
   "en": "Particle Graph Node Edge Feature Encoding",
   "zh": "粒子图节点边特征编码",
   "level": "l3"
  },
  "CAP_544b0940": {
   "en": "GNN Message Passing Particle Level",
   "zh": "粒子级 GNN 消息传递",
   "level": "l3"
  },
  "CAP_7fbc687d": {
   "en": "Autoregressive Particle Rollout",
   "zh": "自回归粒子 Rollout",
   "level": "l3"
  },
  "CAP_24ad8a1c": {
   "en": "Relational Object-Centric Forward Reasoning",
   "zh": "关系式物体中心前向推理",
   "level": "l2"
  },
  "CAP_9bbec235": {
   "en": "Object Relation Graph Construction",
   "zh": "物体关系图构建与动作注入",
   "level": "l3"
  },
  "CAP_699f952b": {
   "en": "Relational Effect Prediction Object Level",
   "zh": "物体级关系效应预测",
   "level": "l3"
  },
  "CAP_b6a7c4e2": {
   "en": "Effect Aggregation and Action Merge",
   "zh": "效应聚合与动作合并",
   "level": "l3"
  },
  "CAP_eb9c88a9": {
   "en": "CLEVRER Video Prediction Evaluation",
   "zh": "CLEVRER 视频预测评测",
   "level": "l3"
  },
  "CAP_1ee16f4e": {
   "en": "Differentiable Physics Inverse Spatial Reasoning",
   "zh": "可微物理逆向空间推理",
   "level": "l2"
  },
  "CAP_0853e79a": {
   "en": "Target State Loss Computation",
   "zh": "目标状态损失计算",
   "level": "l3"
  },
  "CAP_25f87732": {
   "en": "Clustering-Based Speaker Diarization Pipeline",
   "zh": "聚类型说话人分离流水线",
   "level": "l2"
  },
  "CAP_d67e039c": {
   "en": "Pyannote Segmentation Inference",
   "zh": "pyannote segmentation 模型推理",
   "level": "l3"
  },
  "CAP_dcfde8c6": {
   "en": "Segmentation Window Overlap-Add Aggregation",
   "zh": "分段滑窗重叠相加聚合",
   "level": "l3"
  },
  "CAP_77eaa0ec": {
   "en": "Agglomerative Hierarchical Speaker Clustering",
   "zh": "凝聚层次说话人聚类",
   "level": "l3"
  },
  "CAP_0ffefd2b": {
   "en": "EEND Encoder-Decoder Attractor Diarization",
   "zh": "EEND 编解码器吸引子说话人分离",
   "level": "l2"
  },
  "CAP_90e0248d": {
   "en": "EEND Transformer Encoder",
   "zh": "EEND Transformer 编码器",
   "level": "l3"
  },
  "CAP_a6174626": {
   "en": "Encoder-Decoder Attractor Estimation",
   "zh": "编解码器吸引子估计",
   "level": "l3"
  },
  "CAP_d9a7e1a7": {
   "en": "Attractor-Conditioned Speaker Activity Prediction",
   "zh": "吸引子条件化说话人活动预测",
   "level": "l3"
  },
  "CAP_9fd9c57a": {
   "en": "TalkNet-Style AV Active Speaker Diarization",
   "zh": "TalkNet 视听主动说话者分离",
   "level": "l2"
  },
  "CAP_5f5515a5": {
   "en": "AV Speaker Feature Fusion",
   "zh": "视听说话者特征融合",
   "level": "l3"
  },
  "CAP_46916b8f": {
   "en": "Active Speaker Scoring",
   "zh": "主动说话者评分",
   "level": "l3"
  },
  "CAP_13a4af20": {
   "en": "Face-Track Speaking Probability Aggregation",
   "zh": "人脸轨迹说话概率聚合",
   "level": "l3"
  },
  "CAP_c34f741e": {
   "en": "Embedding Cosine Matching and Identity Decision",
   "zh": "嵌入余弦匹配与身份决策",
   "level": "l3"
  },
  "CAP_c8b3a074": {
   "en": "Speaker Enrollment Template Construction",
   "zh": "说话人注册模板构建",
   "level": "l3"
  },
  "CAP_799da2c4": {
   "en": "Neural Speaker Embedding Enrollment and Identification",
   "zh": "神经说话人嵌入注册与识别流水线",
   "level": "l2"
  },
  "CAP_2b1a2383": {
   "en": "Speaker Embedding Clustering",
   "zh": "说话人嵌入聚类分簇",
   "level": "l3"
  },
  "CAP_716e386e": {
   "en": "Multi-Speaker Diarization Identification Pipeline",
   "zh": "多说话人分离识别流水线",
   "level": "l2"
  },
  "CAP_ebba8b3d": {
   "en": "Face Track Detection and Embedding",
   "zh": "人脸轨迹检测与嵌入",
   "level": "l3"
  },
  "CAP_e9d37325": {
   "en": "Audio-Visual Speaker Cross-Modal Encoding",
   "zh": "视听说话者跨模态编码",
   "level": "l3"
  },
  "CAP_187cec10": {
   "en": "Speaker Audio Spectrogram Extraction",
   "zh": "说话者音频复谱提取",
   "level": "l3"
  },
  "CAP_e4f968ba": {
   "en": "Multimodal Speaker Enrollment Template Construction",
   "zh": "多模态说话人注册模板构建",
   "level": "l3"
  },
  "CAP_0261bc19": {
   "en": "Audio-Visual Identity Fusion and Recognition",
   "zh": "音视频身份融合与识别",
   "level": "l3"
  },
  "CAP_564b2045": {
   "en": "Audio-Visual Active Speaker Identification Pipeline",
   "zh": "音视频主动说话者识别流水线",
   "level": "l2"
  },
  "CAP_4b299a4b": {
   "en": "SER Feature Engineering (Classic)",
   "zh": "SER特征工程（经典范式）",
   "level": "l2"
  },
  "CAP_762a0a6c": {
   "en": "Shallow Classifier Training for Emotion",
   "zh": "情感浅层分类器训练",
   "level": "l3"
  },
  "CAP_945e01cb": {
   "en": "SER Emotion Inference (Classic)",
   "zh": "SER情感推理（经典范式）",
   "level": "l3"
  },
  "CAP_50666ef1": {
   "en": "Emotion Label and Confidence Output",
   "zh": "情感标签与置信度输出",
   "level": "l3"
  },
  "CAP_32ba2de3": {
   "en": "SER SSL Backbone Feature Extraction",
   "zh": "SER SSL骨干特征提取",
   "level": "l3"
  },
  "CAP_2fb0594d": {
   "en": "Self-Supervised Pretrained Speech Backbone Feature Extraction",
   "zh": "自监督预训练语音骨干特征提取",
   "level": "l3"
  },
  "CAP_b31ca8c9": {
   "en": "SER Emotion Inference (SSL)",
   "zh": "SER情感推理（SSL范式）",
   "level": "l3"
  },
  "CAP_55106056": {
   "en": "Cross-Modal Attention Fusion (MMER MMI)",
   "zh": "跨模态注意力融合（MMER MMI）",
   "level": "l3"
  },
  "CAP_9e75f182": {
   "en": "Multimodal Emotion Classification Head",
   "zh": "多模态情感分类头",
   "level": "l3"
  },
  "CAP_013a17be": {
   "en": "Multimodal SER Evaluation and ASR Error Diagnosis",
   "zh": "多模态SER评测与ASR错误诊断",
   "level": "l3"
  },
  "CAP_31d201fa": {
   "en": "Audio Encoder Feature Extraction for LLM",
   "zh": "LLM音频编码器特征提取",
   "level": "l3"
  },
  "CAP_faaee868": {
   "en": "SER Audio LLM Zero-Shot Inference",
   "zh": "SER音频LLM零样本推理",
   "level": "l2"
  },
  "CAP_216a320f": {
   "en": "Audio-Text Alignment and Token Compression",
   "zh": "音频-文本对齐与Token压缩",
   "level": "l3"
  },
  "CAP_ef3f6079": {
   "en": "Audio LLM Zero-Shot Inference",
   "zh": "音频LLM零样本推理",
   "level": "l3"
  },
  "CAP_3adcdc28": {
   "en": "Speech Emotion CoT Reasoning with RL",
   "zh": "语音情感CoT推理（RL）",
   "level": "l3"
  },
  "CAP_2ab8129f": {
   "en": "Degraded Speech Synthesis",
   "zh": "退化语料合成",
   "level": "l2"
  },
  "CAP_506ff864": {
   "en": "Clean Speech Assembly and Activity Detection",
   "zh": "干净语音信号拼装与活动检测",
   "level": "l3"
  },
  "CAP_4a32d6ba": {
   "en": "Full-Reference Objective Evaluation",
   "zh": "全参考客观评测",
   "level": "l2"
  },
  "CAP_bb9adcf6": {
   "en": "PESQ Full-Reference Evaluation",
   "zh": "PESQ全参考客观评测",
   "level": "l3"
  },
  "CAP_3b971f74": {
   "en": "STOI Full-Reference Intelligibility Evaluation",
   "zh": "STOI全参考可懂度评测",
   "level": "l3"
  },
  "CAP_4d08dccb": {
   "en": "SI-SDR Evaluation",
   "zh": "尺度不变信号失真比评测",
   "level": "l3"
  },
  "CAP_38f5ac8d": {
   "en": "DNSMOS Non-Intrusive Baseline Evaluation",
   "zh": "DNSMOS非侵入式对比基线评测",
   "level": "l3"
  },
  "CAP_03537761": {
   "en": "E-model Analytical Quality Prediction",
   "zh": "E-model解析式质量预测",
   "level": "l2"
  },
  "CAP_4c5ae847": {
   "en": "Codec Impairment Factor Lookup",
   "zh": "codec损伤因子查表",
   "level": "l3"
  },
  "CAP_3b292879": {
   "en": "Effective Equipment Impairment Factor Calculation",
   "zh": "有效设备损伤因子计算",
   "level": "l3"
  },
  "CAP_9b415b95": {
   "en": "E-model R-factor Computation",
   "zh": "E-model R因子解析式计算",
   "level": "l3"
  },
  "CAP_49dc08d2": {
   "en": "Gilbert Burst Loss Model",
   "zh": "Gilbert突发丢包模型",
   "level": "l3"
  },
  "CAP_e7450b19": {
   "en": "Network Impairment Simulation and Evaluation",
   "zh": "网络退化仿真与评测",
   "level": "l2"
  },
  "CAP_647030c4": {
   "en": "ns-3 Network Impairment Simulation",
   "zh": "ns-3网络层退化仿真",
   "level": "l3"
  },
  "CAP_ee99a0fb": {
   "en": "WebRTC APM Real-time Stack Baseline",
   "zh": "WebRTC APM实时栈对照基线",
   "level": "l3"
  },
  "CAP_43b59b23": {
   "en": "POLQA Full-Reference Evaluation",
   "zh": "POLQA全参考评测",
   "level": "l3"
  },
  "CAP_9b17546f": {
   "en": "NISQA Model Training Pipeline",
   "zh": "NISQA模型训练流水线",
   "level": "l2"
  },
  "CAP_82356c01": {
   "en": "Mel Spectrogram Segmented Feature Extraction",
   "zh": "Mel频谱分段特征提取",
   "level": "l3"
  },
  "CAP_386dac28": {
   "en": "Self-Attention Time-Dependency Modeling",
   "zh": "Self-Attention时序依赖建模",
   "level": "l3"
  },
  "CAP_6bcfb10f": {
   "en": "NISQA Model Training",
   "zh": "NISQA模型训练",
   "level": "l3"
  },
  "CAP_0e46c4bb": {
   "en": "Neural MOS Inference and Evaluation",
   "zh": "神经MOS推理与评估",
   "level": "l2"
  },
  "CAP_aafb5665": {
   "en": "NISQA Inference",
   "zh": "NISQA推理",
   "level": "l3"
  },
  "CAP_f91204bd": {
   "en": "SSL-MOS Non-Intrusive Baseline Inference",
   "zh": "SSL-MOS非侵入式对比基线推理",
   "level": "l3"
  },
  "CAP_af57a350": {
   "en": "Silero Neural VAD Pipeline",
   "zh": "Silero 神经流式 VAD 流水线",
   "level": "l3"
  },
  "CAP_39e4f1d7": {
   "en": "Pyannote Segmentation VAD Pipeline",
   "zh": "pyannote 滑窗多说话人 VAD 流水线",
   "level": "l3"
  },
  "CAP_b7feecee": {
   "en": "Speech Endpoint Detection",
   "zh": "语音端点检测与段输出",
   "level": "l3"
  },
  "CAP_dd31c6bd": {
   "en": "Speech Segment Aggregation",
   "zh": "语音段聚合与时间戳输出",
   "level": "l3"
  },
  "CAP_20954350": {
   "en": "Audio Chunk Resampling",
   "zh": "音频分块与重采样",
   "level": "l3"
  },
  "CAP_fb83fefa": {
   "en": "Audio Frame Capture",
   "zh": "音频定帧采集",
   "level": "l3"
  },
  "CAP_d2a02007": {
   "en": "Hierarchical VLA Command Dispatch",
   "zh": "分层 VLA 命令交付",
   "level": "l3"
  },
  "CAP_31ec5f40": {
   "en": "Speech Command Parsing and Skill Dispatch",
   "zh": "语音指令解析与技能派发",
   "level": "l3"
  },
  "CAP_5eb24a28": {
   "en": "Bayesian Acoustic Source Tracking",
   "zh": "贝叶斯声源追踪",
   "level": "l2"
  },
  "CAP_0c0fe3a3": {
   "en": "Acoustic Frame Preprocessing",
   "zh": "声学帧预处理",
   "level": "l3"
  },
  "CAP_34889909": {
   "en": "Tracked Source Trajectory Output",
   "zh": "追踪源轨迹输出",
   "level": "l3"
  },
  "CAP_ddad6912": {
   "en": "Synchronized AV Capture",
   "zh": "音视频同步采集",
   "level": "l3"
  },
  "CAP_87b8d0c2": {
   "en": "Active Speaker Selection with Temporal Smoothing",
   "zh": "主动说话者选择与时序平滑",
   "level": "l3"
  },
  "CAP_872fc816": {
   "en": "Speaker Diarization Identity Pipeline",
   "zh": "说话人日志化身份追踪流水线",
   "level": "l2"
  },
  "CAP_e13bedfa": {
   "en": "VBx Bayesian HMM Speaker Clustering",
   "zh": "VBx 变分贝叶斯 HMM 说话人聚类",
   "level": "l3"
  },
  "CAP_4d3057e6": {
   "en": "Turn Boundary Refinement",
   "zh": "说话人 turn 边界精修",
   "level": "l3"
  },
  "CAP_fd161e67": {
   "en": "RTTM Timeline Output",
   "zh": "RTTM 时间轴输出",
   "level": "l3"
  },
  "CAP_a4f67461": {
   "en": "Overlap-Aware Speaker Resegmentation",
   "zh": "重叠感知说话人再分割",
   "level": "l3"
  },
  "CAP_235f7eee": {
   "en": "Speaker Diarization DER Evaluation",
   "zh": "说话人日志化 DER 评测",
   "level": "l3"
  },
  "CAP_53e29632": {
   "en": "Kinematic Feasibility Velocity Crossover",
   "zh": "运动学可行性速度交叉",
   "level": "l3"
  },
  "CAP_c050369c": {
   "en": "Forward Collision Warning Speed Limit",
   "zh": "前向碰撞预警与限速",
   "level": "l3"
  },
  "CAP_0aa0386b": {
   "en": "Continuous Distance-Velocity Profile Planning",
   "zh": "连续距离-速度剖面规划",
   "level": "l3"
  },
  "CAP_9be5af6f": {
   "en": "Online Velocity Profile Update",
   "zh": "在线速度剖面更新",
   "level": "l3"
  },
  "CAP_8efeac66": {
   "en": "Bayesian Occupancy Grid Update",
   "zh": "贝叶斯占据栅格更新",
   "level": "l3"
  },
  "CAP_415e4b32": {
   "en": "Calibration of RSS Safety Parameters",
   "zh": "RSS安全参数标定",
   "level": "l3"
  },
  "CAP_8fc40347": {
   "en": "SafeSpeedLimitDispatch",
   "zh": "安全速度限幅调度",
   "level": "l3"
  },
  "CAP_f36db8ec": {
   "en": "KinematicSafetyEnvelopeClipping",
   "zh": "运动学安全包络裁剪",
   "level": "l3"
  },
  "CAP_d7e083c0": {
   "en": "SPH Particle Data Export",
   "zh": "SPH粒子数据导出",
   "level": "l3"
  },
  "CAP_cc1db24c": {
   "en": "SPH Time Integration",
   "zh": "SPH时间积分",
   "level": "l3"
  },
  "CAP_5e53b937": {
   "en": "XSPH Velocity Filter",
   "zh": "XSPH速度滤波",
   "level": "l3"
  },
  "CAP_d750ba5d": {
   "en": "SPH Implicit Pressure Solve DFSPH",
   "zh": "SPH隐式压力求解DFSPH",
   "level": "l3"
  },
  "CAP_04fb5636": {
   "en": "SPH Viscosity and Surface Tension",
   "zh": "SPH粘性与表面张力",
   "level": "l3"
  },
  "CAP_64d2523b": {
   "en": "SPH Case Preprocessing GenCase",
   "zh": "SPH案例前处理GenCase",
   "level": "l3"
  },
  "CAP_cf23ac7e": {
   "en": "SPH EOS Pressure Solve WCSPH",
   "zh": "SPH显式状态方程压力求解",
   "level": "l3"
  },
  "CAP_f64cca11": {
   "en": "SPH Density Diffusion delta-SPH",
   "zh": "SPH密度扩散delta-SPH",
   "level": "l3"
  },
  "CAP_caffa9bf": {
   "en": "SPH DBC Boundary Handling",
   "zh": "SPH动态边界粒子处理",
   "level": "l3"
  },
  "CAP_f8400f6f": {
   "en": "SPH Postprocessing Validation",
   "zh": "SPH后处理与实验验证",
   "level": "l3"
  },
  "CAP_5db8563f": {
   "en": "SPH Artificial Viscosity Solve",
   "zh": "SPH人工粘性求解",
   "level": "l3"
  },
  "CAP_f4a2a1b3": {
   "en": "SPH PBF Constraint Projection",
   "zh": "SPH PBF密度约束投影",
   "level": "l3"
  },
  "CAP_79a7df94": {
   "en": "Spiral Coverage Path Planning Pipeline",
   "zh": "螺旋覆盖路径规划流水线",
   "level": "l2"
  },
  "CAP_2aba7ba8": {
   "en": "Approximate Grid-based Decomposition Coverage",
   "zh": "近似栅格分解覆盖",
   "level": "l2"
  },
  "CAP_26a75a25": {
   "en": "Multi-connected Domain Boundary Spline Modeling",
   "zh": "多连通域边界样条建模",
   "level": "l3"
  },
  "CAP_cb1c93be": {
   "en": "Conformal Slit Mapping Domain Transform",
   "zh": "共形狭缝映射域变换",
   "level": "l3"
  },
  "CAP_66b64afa": {
   "en": "Maximum Inscribed Circle Spacing Control",
   "zh": "最大内接圆间距控制",
   "level": "l3"
  },
  "CAP_d05200cd": {
   "en": "Iso-parameter Offset Spiral Generation",
   "zh": "等参线偏移螺旋生成",
   "level": "l3"
  },
  "CAP_171551d4": {
   "en": "Continuous Spiral Path Output",
   "zh": "连续螺旋路径输出",
   "level": "l3"
  },
  "CAP_a060daca": {
   "en": "PolygonBoundaryImportValidation",
   "zh": "多边形边界导入与校验",
   "level": "l3"
  },
  "CAP_42a2c149": {
   "en": "PiecewiseCubicSplineInterpolation",
   "zh": "分段三次样条插值",
   "level": "l3"
  },
  "CAP_5e5572b4": {
   "en": "Free-Floating Compliant UVMS Intervention Pipeline",
   "zh": "浮游基座柔顺 UVMS 自主干预流水线",
   "level": "l2"
  },
  "CAP_e96a790c": {
   "en": "Pre-Contact Configuration and Station-Keeping",
   "zh": "预接触构型与悬停保持",
   "level": "l3"
  },
  "CAP_fc309860": {
   "en": "Autonomous Docked Hot Stab Force Control",
   "zh": "自主固定基 Hot Stab 力控插入",
   "level": "l3"
  },
  "CAP_991c2229": {
   "en": "ROV TIP Hot Stab Insertion Force Control",
   "zh": "ROV TIP Hot Stab 插入力控",
   "level": "l3"
  },
  "CAP_6335c760": {
   "en": "KWS Context Frame Concatenation",
   "zh": "KWS 上下文帧拼接",
   "level": "l3"
  },
  "CAP_18b8fccb": {
   "en": "General ASR + Intent Classification Pipeline",
   "zh": "通用 ASR + 意图分类流水线",
   "level": "l2"
  },
  "CAP_8d0dded2": {
   "en": "LLM-driven Speech-to-Action Pipeline",
   "zh": "LLM 驱动语音到动作流水线",
   "level": "l2"
  },
  "CAP_e6bced73": {
   "en": "Instruction Prompt Construction",
   "zh": "指令 Prompt 构建",
   "level": "l3"
  },
  "CAP_43695bc1": {
   "en": "Skill vs Code Selection Decision",
   "zh": "技能 vs 代码选择判断",
   "level": "l3"
  },
  "CAP_080b982e": {
   "en": "Surface Triangulation & Patch Partitioning",
   "zh": "曲面三角化与分片",
   "level": "l3"
  },
  "CAP_0d1dfca8": {
   "en": "Beta Distribution Spray Model Fitting",
   "zh": "Beta分布喷涂模型拟合",
   "level": "l3"
  },
  "CAP_3a64c55d": {
   "en": "Spray Trajectory Generation & Optimization",
   "zh": "喷涂轨迹生成与优化",
   "level": "l2"
  },
  "CAP_884774a4": {
   "en": "Zigzag Coverage Path Planning",
   "zh": "之字形覆盖路径规划",
   "level": "l3"
  },
  "CAP_04ce4a68": {
   "en": "GTSP-Based Inter-Patch Sequencing",
   "zh": "基于GTSP的片间路径排序",
   "level": "l3"
  },
  "CAP_fe7a8ed1": {
   "en": "Trajectory Smoothing & Time-Optimal Speed Planning",
   "zh": "轨迹平滑与时间最优速度规划",
   "level": "l3"
  },
  "CAP_653db862": {
   "en": "Coating Thickness Verification & Program Export",
   "zh": "涂层厚度验证与程序导出",
   "level": "l2"
  },
  "CAP_03433672": {
   "en": "Coating Thickness Simulation & Visualization",
   "zh": "涂层厚度仿真与可视化",
   "level": "l3"
  },
  "CAP_e596a9ea": {
   "en": "Robot Post-Processor Code Generation",
   "zh": "机器人后置处理器代码生成",
   "level": "l3"
  },
  "CAP_e490c5ce": {
   "en": "Spray Tool Setup & Calibration",
   "zh": "喷涂工具安装与标定",
   "level": "l2"
  },
  "CAP_381bbcc9": {
   "en": "TCP Calibration",
   "zh": "工具中心点标定",
   "level": "l3"
  },
  "CAP_c72e17a5": {
   "en": "Workpiece Coordinate System Setup",
   "zh": "工件坐标系建立",
   "level": "l3"
  },
  "CAP_c26acb23": {
   "en": "Spray Parameter Preset",
   "zh": "喷涂参数预设",
   "level": "l3"
  },
  "CAP_8e821261": {
   "en": "Manual Teach & Record",
   "zh": "手动示教与录制",
   "level": "l2"
  },
  "CAP_8b056bbb": {
   "en": "Teach Pendant Manual Jogging",
   "zh": "示教器手动点动",
   "level": "l3"
  },
  "CAP_3a95aaaa": {
   "en": "Teach Point Recording & Program Assembly",
   "zh": "示教点记录与程序组装",
   "level": "l3"
  },
  "CAP_2fbda188": {
   "en": "Trial Run & Trajectory Fine-Tuning",
   "zh": "试运行与轨迹微调",
   "level": "l3"
  },
  "CAP_3fac4183": {
   "en": "Playback Execution & Quality Monitoring",
   "zh": "回放执行与质量监控",
   "level": "l2"
  },
  "CAP_4660054a": {
   "en": "Full-Speed Playback",
   "zh": "全速回放",
   "level": "l3"
  },
  "CAP_0dc72cc8": {
   "en": "In-Process Visual Inspection",
   "zh": "在线目视检查",
   "level": "l3"
  },
  "CAP_c8b891e1": {
   "en": "Spray System Maintenance & Changeover",
   "zh": "喷涂系统维护与换产",
   "level": "l2"
  },
  "CAP_e1f2f666": {
   "en": "Robot Zero Calibration",
   "zh": "机器人零点校准",
   "level": "l3"
  },
  "CAP_2dd6577b": {
   "en": "Workpiece Changeover Re-teach",
   "zh": "工件换产重示教",
   "level": "l3"
  },
  "CAP_c3f75f2e": {
   "en": "Post-Processor Program Generation",
   "zh": "后置处理程序生成",
   "level": "l3"
  },
  "CAP_4920f782": {
   "en": "SROS2 CLI Keystore Management",
   "zh": "SROS2 CLI密钥库管理",
   "level": "l2"
  },
  "CAP_c76991d7": {
   "en": "SROS2 Topology Auto Discovery",
   "zh": "SROS2拓扑自动发现",
   "level": "l3"
  },
  "CAP_698b80f3": {
   "en": "SROS2 Policy-Driven Deployment",
   "zh": "SROS2策略驱动部署",
   "level": "l2"
  },
  "CAP_938fee2a": {
   "en": "SROS2 Containerized Deployment",
   "zh": "SROS2容器化部署",
   "level": "l2"
  },
  "CAP_092dc97d": {
   "en": "SROS2 Docker Image Build",
   "zh": "SROS2 Docker镜像构建",
   "level": "l3"
  },
  "CAP_5ffde9bb": {
   "en": "SROS2 Keystore Creator Service",
   "zh": "SROS2密钥库创建服务",
   "level": "l3"
  },
  "CAP_8d58c230": {
   "en": "SROS2 Minimal File Distribution",
   "zh": "SROS2最小文件分发",
   "level": "l3"
  },
  "CAP_caaf26d6": {
   "en": "SROS2 Security Bootstrap",
   "zh": "SROS2安全启动配置",
   "level": "l2"
  },
  "CAP_3c1986d1": {
   "en": "SROS2 Compose Keystore Init",
   "zh": "SROS2编排密钥库初始化",
   "level": "l3"
  },
  "CAP_55bb376a": {
   "en": "SROS2 Compose Service Orchestration",
   "zh": "SROS2编排服务启动",
   "level": "l3"
  },
  "CAP_ea5a1fca": {
   "en": "SROS2 Deployment Verification",
   "zh": "SROS2部署验证",
   "level": "l3"
  },
  "CAP_0ec6a556": {
   "en": "Proprioceptive State Concatenation",
   "zh": "本体感觉状态拼接",
   "level": "l3"
  },
  "CAP_c44c6549": {
   "en": "Depth Map SLAM Integration",
   "zh": "深度图 SLAM 集成",
   "level": "l3"
  },
  "CAP_a261f8c9": {
   "en": "Depth-Guided Grasping and Manipulation",
   "zh": "深度引导抓取与操作",
   "level": "l3"
  },
  "CAP_60a9f54a": {
   "en": "Masked Cross-Modal Attention and Reconstruction",
   "zh": "跨模态掩码注意与重建",
   "level": "l3"
  },
  "CAP_e439a44f": {
   "en": "Scene Perception for Object Placement",
   "zh": "放置场景感知",
   "level": "l2"
  },
  "CAP_227b2c1e": {
   "en": "VLM-Guided Object Segmentation",
   "zh": "VLM引导物体分割",
   "level": "l3"
  },
  "CAP_c24eec9d": {
   "en": "Placement Coarse Localization",
   "zh": "放置位置粗定位",
   "level": "l2"
  },
  "CAP_f5dbde9c": {
   "en": "VLM Placement Point Detection",
   "zh": "VLM放置位置检测",
   "level": "l3"
  },
  "CAP_31310bde": {
   "en": "Local Point Cloud Cropping",
   "zh": "局部点云裁剪",
   "level": "l3"
  },
  "CAP_5c443697": {
   "en": "Diffusion-Based SE3 Denoising",
   "zh": "扩散式SE3去噪",
   "level": "l3"
  },
  "CAP_b270dfaf": {
   "en": "Pick-and-Place Motion Execution",
   "zh": "拾放运动执行",
   "level": "l2"
  },
  "CAP_92e9d4e8": {
   "en": "Placement Stability Check",
   "zh": "放置稳定性检查",
   "level": "l3"
  },
  "CAP_db93e111": {
   "en": "Center of Mass Computation",
   "zh": "质心计算",
   "level": "l3"
  },
  "CAP_b65766de": {
   "en": "Placement Contact Candidate Enumeration",
   "zh": "放置接触候选枚举",
   "level": "l3"
  },
  "CAP_a5bc2df3": {
   "en": "Support Polygon Extraction",
   "zh": "支撑多边形提取",
   "level": "l3"
  },
  "CAP_591809a6": {
   "en": "Stability Score Normalization",
   "zh": "稳定性评分归一化",
   "level": "l3"
  },
  "CAP_139d3c47": {
   "en": "Pose Ranking and Selection",
   "zh": "姿态排序与选择",
   "level": "l3"
  },
  "CAP_0e78b5b5": {
   "en": "Physics Simulation Execution",
   "zh": "物理仿真执行",
   "level": "l2"
  },
  "CAP_ed407679": {
   "en": "Stability Judgment from Simulation",
   "zh": "仿真稳定性判定",
   "level": "l2"
  },
  "CAP_64181c00": {
   "en": "Simulation Step Control",
   "zh": "仿真步进控制",
   "level": "l3"
  },
  "CAP_03879880": {
   "en": "Perturbation Sampling",
   "zh": "扰动采样",
   "level": "l3"
  },
  "CAP_c59dcf7c": {
   "en": "Multi-Pose Simulation Batch",
   "zh": "多姿态批量仿真",
   "level": "l3"
  },
  "CAP_4cae351a": {
   "en": "Device Fleet Segmentation",
   "zh": "设备群分段",
   "level": "l3"
  },
  "CAP_31d6f5cc": {
   "en": "Device Action State Tracking",
   "zh": "设备动作状态追踪",
   "level": "l3"
  },
  "CAP_b3de07db": {
   "en": "Threshold-Based Cascade Decision",
   "zh": "阈值级联决策",
   "level": "l3"
  },
  "CAP_45341761": {
   "en": "Rollout Progress Aggregation",
   "zh": "发布进度聚合",
   "level": "l3"
  },
  "CAP_03b9173f": {
   "en": "Fleet Indexing Query",
   "zh": "设备群索引查询",
   "level": "l2"
  },
  "CAP_04430a06": {
   "en": "Software Version Distribution Analysis",
   "zh": "软件版本分布分析",
   "level": "l3"
  },
  "CAP_02e94acf": {
   "en": "Dynamic Thing Group Management",
   "zh": "动态物组管理",
   "level": "l3"
  },
  "CAP_c8894aea": {
   "en": "Deployment Rate Adjustment",
   "zh": "部署速率调整",
   "level": "l3"
  },
  "CAP_2c5b8140": {
   "en": "Stair Terrain Randomization",
   "zh": "楼梯地形随机化",
   "level": "l3"
  },
  "CAP_569917dc": {
   "en": "Proprioceptive Locomotion Control",
   "zh": "本体感觉运动控制",
   "level": "l2"
  },
  "CAP_3c2290c8": {
   "en": "Probabilistic Terrain Fusion",
   "zh": "概率地形融合",
   "level": "l3"
  },
  "CAP_35c3a9da": {
   "en": "Wheel-Legged Hybrid Locomotion",
   "zh": "轮腿混合运动控制",
   "level": "l2"
  },
  "CAP_7c2f0daf": {
   "en": "Terrain Classification for Mode Selection",
   "zh": "面向模式选择的地形分类",
   "level": "l3"
  },
  "CAP_f3da572f": {
   "en": "Mode Transition Control",
   "zh": "轮腿模式切换控制",
   "level": "l3"
  },
  "CAP_e2e22c64": {
   "en": "FOC Wheel-Leg Control",
   "zh": "轮腿 FOC 控制",
   "level": "l3"
  },
  "CAP_e596ed50": {
   "en": "Stair Perception Pipeline",
   "zh": "楼梯感知管道",
   "level": "l2"
  },
  "CAP_90e22fca": {
   "en": "Plane Segmentation for Stair Treads",
   "zh": "楼梯踏面平面分割",
   "level": "l3"
  },
  "CAP_44af7da8": {
   "en": "Steppability Classification",
   "zh": "可踏性分类",
   "level": "l3"
  },
  "CAP_3512e821": {
   "en": "Stair Model Construction",
   "zh": "楼梯模型构建",
   "level": "l3"
  },
  "CAP_a1da9d55": {
   "en": "Whole-Body Motion Planning for Stairs",
   "zh": "楼梯全身运动规划",
   "level": "l2"
  },
  "CAP_db94d7ca": {
   "en": "Convex Foothold Region Extraction",
   "zh": "凸落脚区域提取",
   "level": "l3"
  },
  "CAP_0162156e": {
   "en": "Nonlinear MPC Whole-Body Optimization",
   "zh": "非线性 MPC 全身优化",
   "level": "l3"
  },
  "CAP_96b8a9d31e": {
   "en": "Signed Distance Field Precomputation",
   "zh": "有符号距离场预计算",
   "level": "l3"
  },
  "CAP_7a7f6f13": {
   "en": "Mechanism-Based Stair Climbing",
   "zh": "机构驱动楼梯攀爬",
   "level": "l2"
  },
  "CAP_54edc767": {
   "en": "Stair Edge Detection via LiDAR",
   "zh": "LiDAR 楼梯边缘检测",
   "level": "l3"
  },
  "CAP_b085b486": {
   "en": "Platform Leveling",
   "zh": "平台自稳控制",
   "level": "l3"
  },
  "CAP_ac08fbbe": {
   "en": "Step-by-Step Mechanism Motion Sequence",
   "zh": "逐级机构运动序列",
   "level": "l3"
  },
  "CAP_1b636329": {
   "en": "Stair Safety Monitoring",
   "zh": "楼梯安全监控",
   "level": "l3"
  },
  "CAP_4aeac907": {
   "en": "IMU-Based State Estimation",
   "zh": "基于 IMU 的状态估计",
   "level": "l3"
  },
  "CAP_10cc5a2f": {
   "en": "Contact Mode Sequence Generation",
   "zh": "接触模式序列生成",
   "level": "l3"
  },
  "CAP_dd07c4b6": {
   "en": "Whole-Body Trajectory Generation",
   "zh": "全身轨迹生成",
   "level": "l3"
  },
  "CAP_529f751d": {
   "en": "Standing Completion Detection",
   "zh": "站起完成检测",
   "level": "l3"
  },
  "CAP_ee245251": {
   "en": "PPO Recovery Policy Training",
   "zh": "PPO 站起恢复策略训练",
   "level": "l3"
  },
  "CAP_cf5c6e3c": {
   "en": "Competition Task Suite Design",
   "zh": "竞赛任务套件设计",
   "level": "l2"
  },
  "CAP_c36c79a9": {
   "en": "Task Space Dimension Analysis",
   "zh": "任务空间维度分析",
   "level": "l3"
  },
  "CAP_6944c283": {
   "en": "Task Candidate Elicitation",
   "zh": "任务候选征集",
   "level": "l3"
  },
  "CAP_554a1567": {
   "en": "Task Specification Authoring",
   "zh": "任务规格编写",
   "level": "l3"
  },
  "CAP_f5c7912f": {
   "en": "Scoring Rubric Design",
   "zh": "评分规则设计",
   "level": "l3"
  },
  "CAP_69ad2160": {
   "en": "Environment Configuration Specification",
   "zh": "环境配置规范",
   "level": "l3"
  },
  "CAP_0c0dec82": {
   "en": "RuleBook Publication",
   "zh": "规则发布与管理",
   "level": "l3"
  },
  "CAP_3c1f3804": {
   "en": "Task Suite Iteration",
   "zh": "任务套件迭代",
   "level": "l3"
  },
  "CAP_e90b4c59": {
   "en": "Taxonomy-Driven Task Suite Design",
   "zh": "分类学驱动的任务套件设计",
   "level": "l2"
  },
  "CAP_9d75e91f": {
   "en": "Task per Skill Category Design",
   "zh": "按技能类别设计任务",
   "level": "l3"
  },
  "CAP_fd179a77": {
   "en": "Difficulty Scaling Design",
   "zh": "难度分级设计",
   "level": "l3"
  },
  "CAP_287992aa": {
   "en": "Task Specification Integration",
   "zh": "任务规格集成",
   "level": "l3"
  },
  "CAP_e4aa9714": {
   "en": "Procedural Task Suite Generation",
   "zh": "程序化任务套件生成",
   "level": "l2"
  },
  "CAP_a7041a99": {
   "en": "Task Template Authoring",
   "zh": "任务模板定义",
   "level": "l3"
  },
  "CAP_faf6a4fb": {
   "en": "Parameter Space Design",
   "zh": "参数空间设计",
   "level": "l3"
  },
  "CAP_ea8ad01b": {
   "en": "Procedural Task Instance Generation",
   "zh": "程序化任务实例生成",
   "level": "l3"
  },
  "CAP_239a80d4": {
   "en": "Task Quality Control",
   "zh": "任务质量控制",
   "level": "l3"
  },
  "CAP_1a93810d": {
   "en": "Data-Driven Task Suite Design",
   "zh": "数据驱动的任务套件设计",
   "level": "l2"
  },
  "CAP_b28aa349": {
   "en": "Human Activity Data Collection",
   "zh": "人类活动数据收集",
   "level": "l3"
  },
  "CAP_2b024718": {
   "en": "Activity to Task Translation",
   "zh": "活动到任务转化",
   "level": "l3"
  },
  "CAP_fc34ba77": {
   "en": "Task Validation from Data",
   "zh": "基于数据的任务验证",
   "level": "l3"
  },
  "CAP_f1eadc17": {
   "en": "Symbolic State Grounding",
   "zh": "符号状态接地",
   "level": "l3"
  },
  "CAP_d0a43aa3": {
   "en": "PDDL State Abstraction",
   "zh": "PDDL 状态抽象",
   "level": "l3"
  },
  "CAP_64debe80": {
   "en": "ROS2 Sensor Integration",
   "zh": "ROS2 传感器集成",
   "level": "l3"
  },
  "CAP_f08c058b": {
   "en": "Bisimulation-based State Aggregation",
   "zh": "互模拟状态聚合",
   "level": "l2"
  },
  "CAP_bf1e55da": {
   "en": "Bisimulation Metric Learning",
   "zh": "互模拟度量学习",
   "level": "l3"
  },
  "CAP_83580cab": {
   "en": "State Equivalence Clustering",
   "zh": "状态等价聚类",
   "level": "l3"
  },
  "CAP_76ddf592": {
   "en": "Compressed MDP Planning",
   "zh": "压缩 MDP 规划",
   "level": "l3"
  },
  "CAP_a25931b6": {
   "en": "Hierarchical State Abstraction",
   "zh": "分层状态抽象",
   "level": "l2"
  },
  "CAP_cfe8187b": {
   "en": "Object-Centric State Representation",
   "zh": "物体中心状态表示",
   "level": "l3"
  },
  "CAP_eb212d27": {
   "en": "Stream-based Feasibility Verification",
   "zh": "基于 Stream 的可行性验证",
   "level": "l3"
  },
  "CAP_31eded24": {
   "en": "Three-Layer Consistency Monitoring",
   "zh": "三层一致性监控",
   "level": "l3"
  },
  "CAP_ef11d403": {
   "en": "Learning-based State Compression",
   "zh": "学习型状态压缩",
   "level": "l2"
  },
  "CAP_f8e4c0b6": {
   "en": "LLM-based State Summarization",
   "zh": "LLM 状态摘要",
   "level": "l2"
  },
  "CAP_f130532a": {
   "en": "Affordance-based Action Filtering",
   "zh": "基于 affordance 的动作过滤",
   "level": "l3"
  },
  "CAP_3a849b00": {
   "en": "LLM Context Window Management",
   "zh": "LLM 上下文窗口管理",
   "level": "l3"
  },
  "CAP_6d480c6c": {
   "en": "ROS2 Sensor Data Collection",
   "zh": "ROS2传感器数据采集",
   "level": "l3"
  },
  "CAP_29019c62": {
   "en": "Process State Freeze",
   "zh": "进程状态冻结",
   "level": "l3"
  },
  "CAP_2a851c6b": {
   "en": "Memory Page Dump",
   "zh": "内存页转储",
   "level": "l3"
  },
  "CAP_24f1a6c8": {
   "en": "Socket State Capture",
   "zh": "Socket状态捕获",
   "level": "l3"
  },
  "CAP_dfd7677e": {
   "en": "Process Tree Restoration",
   "zh": "进程树恢复",
   "level": "l3"
  },
  "CAP_1c2f0d00": {
   "en": "Incremental Checkpoint",
   "zh": "增量检查点",
   "level": "l3"
  },
  "CAP_c8718dd7": {
   "en": "Container Checkpoint Orchestration",
   "zh": "容器检查点编排",
   "level": "l3"
  },
  "CAP_60f5c7a5": {
   "en": "State Schema Definition",
   "zh": "状态模式定义",
   "level": "l3"
  },
  "CAP_8cb8beca": {
   "en": "Parameter YAML Persistence",
   "zh": "参数YAML持久化",
   "level": "l3"
  },
  "CAP_d56d0fe6": {
   "en": "Robot State Serialization",
   "zh": "机器人状态序列化",
   "level": "l3"
  },
  "CAP_db02af3b": {
   "en": "State Migration Validation",
   "zh": "状态迁移验证",
   "level": "l3"
  },
  "CAP_e60660a5": {
   "en": "Costmap State Persistence",
   "zh": "代价地图状态持久化",
   "level": "l3"
  },
  "CAP_ea2a2f42": {
   "en": "Event Log Storage",
   "zh": "事件日志存储",
   "level": "l3"
  },
  "CAP_ef214322": {
   "en": "Event Serialization",
   "zh": "事件序列化",
   "level": "l3"
  },
  "CAP_bc686e90": {
   "en": "Event Log Replay",
   "zh": "事件日志回放",
   "level": "l3"
  },
  "CAP_e4530eb5": {
   "en": "Log Integrity Check",
   "zh": "日志完整性校验",
   "level": "l3"
  },
  "CAP_dacb13f0": {
   "en": "PDDL Problem Specification",
   "zh": "PDDL 问题规范",
   "level": "l2"
  },
  "CAP_713a4341": {
   "en": "Planning Knowledge Base Management",
   "zh": "规划知识库管理",
   "level": "l3"
  },
  "CAP_dd43bf46": {
   "en": "Landmark Heuristic Computation",
   "zh": "路标启发式计算",
   "level": "l3"
  },
  "CAP_bd9e1004": {
   "en": "LLM Task State Formulation",
   "zh": "LLM 任务状态空间形式化",
   "level": "l2"
  },
  "CAP_246b35b8": {
   "en": "LLM Candidate Generation and Evaluation",
   "zh": "LLM 候选生成与评估",
   "level": "l2"
  },
  "CAP_09393d25": {
   "en": "LLM Thought Candidate Generation",
   "zh": "LLM 思维候选生成",
   "level": "l3"
  },
  "CAP_94490332": {
   "en": "LLM State Value Evaluation",
   "zh": "LLM 状态价值评估",
   "level": "l3"
  },
  "CAP_321d0907": {
   "en": "LLM World Model Rollout",
   "zh": "LLM 世界模型模拟",
   "level": "l3"
  },
  "CAP_531d7dee": {
   "en": "LLM Reflection and Plan Extraction",
   "zh": "LLM 反思与计划提取",
   "level": "l2"
  },
  "CAP_055f6e24": {
   "en": "LLM Tree Search Reflection",
   "zh": "LLM 树搜索自我反思",
   "level": "l3"
  },
  "CAP_7705d769": {
   "en": "LLM Plan Extraction and Aggregation",
   "zh": "LLM 计划提取与聚合",
   "level": "l3"
  },
  "CAP_53750b00": {
   "en": "Bounded SAT Plan Encoding",
   "zh": "有界 SAT 规划编码",
   "level": "l2"
  },
  "CAP_00b5bc58": {
   "en": "Parallel Plan SAT Encoding",
   "zh": "并行计划 SAT 编码",
   "level": "l2"
  },
  "CAP_a9c31d9d": {
   "en": "Incremental Plan Horizon Search",
   "zh": "增量规划步长搜索",
   "level": "l3"
  },
  "CAP_67d7262e": {
   "en": "Plan Extraction from SAT Model",
   "zh": "SAT 模型计划提取",
   "level": "l3"
  },
  "CAP_48e1edff": {
   "en": "SMT-based Hybrid Planning",
   "zh": "基于 SMT 的混合规划",
   "level": "l2"
  },
  "CAP_eb69e4bd": {
   "en": "Predicate and Action Definition",
   "zh": "谓词与动作定义",
   "level": "l3"
  },
  "CAP_be171a7e": {
   "en": "PDDL to SAS+ Translation",
   "zh": "PDDL 到 SAS+ 翻译",
   "level": "l3"
  },
  "CAP_5d309ae2": {
   "en": "Variable and Operator Grounding",
   "zh": "变量与操作符实例化",
   "level": "l3"
  },
  "CAP_4dad8ef3": {
   "en": "State Space Search Execution",
   "zh": "状态空间搜索执行",
   "level": "l3"
  },
  "CAP_e3b07993": {
   "en": "Plan Extraction from Search",
   "zh": "搜索树计划回溯提取",
   "level": "l3"
  },
  "CAP_2ab6d8c8": {
   "en": "Plan Parsing and Dispatch",
   "zh": "计划解析与调度",
   "level": "l3"
  },
  "CAP_24a089ce": {
   "en": "Action Execution and Monitoring",
   "zh": "动作执行与监控",
   "level": "l3"
  },
  "CAP_86585c24": {
   "en": "State Update via Sensing",
   "zh": "传感状态更新",
   "level": "l3"
  },
  "CAP_744b1d5a": {
   "en": "Task State Space Definition",
   "zh": "任务状态空间定义",
   "level": "l3"
  },
  "CAP_1714e5e5": {
   "en": "Task Formalizability Assessment",
   "zh": "任务可形式化评估",
   "level": "l3"
  },
  "CAP_20f1ec61": {
   "en": "Tree Search Policy Execution",
   "zh": "树搜索策略执行",
   "level": "l3"
  },
  "CAP_b91f8147": {
   "en": "Hybrid Domain Assessment",
   "zh": "混合域判定",
   "level": "l3"
  },
  "CAP_73485a6e": {
   "en": "STRIPS Domain Grounding",
   "zh": "STRIPS 域实例化",
   "level": "l3"
  },
  "CAP_5aeb41df": {
   "en": "Bounded CNF Encoding",
   "zh": "有界 CNF 编码",
   "level": "l3"
  },
  "CAP_894d60fc": {
   "en": "Parallel and Bit-Vector Encoding",
   "zh": "并行与位向量编码",
   "level": "l3"
  },
  "CAP_521056c2": {
   "en": "CNF SAT Solving",
   "zh": "CNF 可满足求解",
   "level": "l3"
  },
  "CAP_50c3588e": {
   "en": "SMT Happening Encoding",
   "zh": "SMT Happening 编码",
   "level": "l3"
  },
  "CAP_5083c95c": {
   "en": "Plan Validation and SMT Hybrid",
   "zh": "计划验证与 SMT 混合收口",
   "level": "l3"
  },
  "CAP_d598061f": {
   "en": "Custom Keypoint MLP Gesture Classifier",
   "zh": "自定义关键点 MLP 手势分类器",
   "level": "l3"
  },
  "CAP_8227c0e4": {
   "en": "Static Hand Gesture Classification by CNN Transfer Learning",
   "zh": "基于端到端 CNN 迁移学习的静态手势分类",
   "level": "l2"
  },
  "CAP_7f9ec7b6": {
   "en": "Static Hand Gesture Classification by Handcrafted Features and Classical ML",
   "zh": "基于手工特征与经典 ML 的静态手势分类",
   "level": "l2"
  },
  "CAP_c2c13da9": {
   "en": "HOG Feature Extraction for Hand Gesture",
   "zh": "手势图像 HOG 特征提取",
   "level": "l3"
  },
  "CAP_277929d5": {
   "en": "RBF-SVM Gesture Classifier",
   "zh": "RBF 核 SVM 手势分类器",
   "level": "l3"
  },
  "CAP_97b69f7c": {
   "en": "Static Hand Gesture Classification by Two-Stage Detection and Classification",
   "zh": "基于两阶段检测+分类的静态手势分类",
   "level": "l2"
  },
  "CAP_d9853b74": {
   "en": "Hand Bbox Crop and Normalization",
   "zh": "手部边界框裁剪与归一化",
   "level": "l3"
  },
  "CAP_be8312ed": {
   "en": "Multi-Hand Gesture Post-processing and Dispatch",
   "zh": "多手手势后处理与 HRI 指令派发",
   "level": "l3"
  },
  "CAP_e6f7e471": {
   "en": "Hand ROI Preprocessing",
   "zh": "手部 ROI 预处理",
   "level": "l3"
  },
  "CAP_76dc7a83": {
   "en": "Finger Extension State Extraction",
   "zh": "手指伸展状态提取",
   "level": "l3"
  },
  "CAP_87a2f2cd": {
   "en": "Static Obstacle Avoidance Costmap Trajectory Scoring",
   "zh": "静态障碍物代价地图轨迹评分避障",
   "level": "l2"
  },
  "CAP_955f9b2b": {
   "en": "DWB Obstacle Footprint Critic Collision Check",
   "zh": "DWB 障碍物足迹评论家碰撞检查",
   "level": "l3"
  },
  "CAP_994573b8": {
   "en": "Static Obstacle Avoidance 3D Voxel Collision",
   "zh": "静态障碍物 3D 体素碰撞避障",
   "level": "l2"
  },
  "CAP_3e02c668": {
   "en": "Sparse Voxel Grid Initialization",
   "zh": "稀疏体素网格初始化",
   "level": "l3"
  },
  "CAP_b8b36370": {
   "en": "Voxel-to-2D Costmap Projection",
   "zh": "体素到 2D 代价地图投影",
   "level": "l3"
  },
  "CAP_74e85a30": {
   "en": "Height Difference Traversability Evaluation",
   "zh": "高度差可通行性评估",
   "level": "l3"
  },
  "CAP_3cd6a9eb": {
   "en": "Disparity Refinement",
   "zh": "视差精化与有效性后处理",
   "level": "l3"
  },
  "CAP_069c0b18": {
   "en": "Stereo Feature Extraction",
   "zh": "立体特征提取",
   "level": "l3"
  },
  "CAP_a551a91f": {
   "en": "3D Cost Aggregation",
   "zh": "3D代价聚合",
   "level": "l3"
  },
  "CAP_9808c59c": {
   "en": "Soft Argmin Disparity Regression",
   "zh": "soft argmin视差回归",
   "level": "l3"
  },
  "CAP_16ce9a35": {
   "en": "Iterative Real-Time Stereo Depth Pipeline",
   "zh": "迭代实时立体匹配流水线",
   "level": "l2"
  },
  "CAP_1a547dd4": {
   "en": "GRU Iterative Disparity Update",
   "zh": "GRU迭代视差更新",
   "level": "l3"
  },
  "CAP_36e75566": {
   "en": "Active IR Stereo Depth Pipeline",
   "zh": "主动红外双目深度流水线",
   "level": "l2"
  },
  "CAP_d24f5587": {
   "en": "Active IR Stereo Camera Configuration",
   "zh": "主动红外双目相机配置",
   "level": "l3"
  },
  "CAP_7eb55f0e": {
   "en": "rs2 Depth Stream Acquisition",
   "zh": "rs2深度流采集",
   "level": "l3"
  },
  "CAP_d0e05abe": {
   "en": "rs2 Depth Post-Processing",
   "zh": "rs2深度后处理滤波",
   "level": "l3"
  },
  "CAP_128a992d": {
   "en": "Feature-Based Geometric VO Pipeline",
   "zh": "特征法几何视觉里程计流水线",
   "level": "l2"
  },
  "CAP_c3a6c813": {
   "en": "Essential Matrix Decomposition and Pose Initialization",
   "zh": "本质矩阵分解与位姿初始化",
   "level": "l3"
  },
  "CAP_6d78ad6f": {
   "en": "Trajectory Output (Feature-Based Geometric VO)",
   "zh": "特征法 VO 轨迹输出",
   "level": "l3"
  },
  "CAP_599e1582": {
   "en": "Photometric Residual Construction",
   "zh": "光度残差构造",
   "level": "l3"
  },
  "CAP_b14a1757": {
   "en": "Keyframe Decision by Disparity",
   "zh": "视差关键帧决策",
   "level": "l3"
  },
  "CAP_6bfd95b9": {
   "en": "Learning-Based VO Pipeline",
   "zh": "学习型视觉里程计流水线",
   "level": "l2"
  },
  "CAP_b82edeb6": {
   "en": "Trajectory Output (Learning-Based VO)",
   "zh": "学习型 VO 轨迹输出",
   "level": "l3"
  },
  "CAP_247341d3": {
   "en": "Stereo Metric 3D-3D Motion Estimation",
   "zh": "立体度量3D-3D运动估计",
   "level": "l3"
  },
  "CAP_b8101443": {
   "en": "Stereo Matching Network with Covariance Prediction",
   "zh": "立体匹配网络与协方差预测",
   "level": "l3"
  },
  "CAP_aaf917d6": {
   "en": "Uncertainty-Based Keypoint Selection",
   "zh": "不确定性关键点过滤",
   "level": "l3"
  },
  "CAP_f743067b": {
   "en": "Stereo Feature Matching",
   "zh": "双目特征立体匹配",
   "level": "l3"
  },
  "CAP_6c390a19": {
   "en": "Stereo RGB-D Map Initialization",
   "zh": "立体RGB-D地图初始化",
   "level": "l3"
  },
  "CAP_73aac38b": {
   "en": "Keyframe Creation and Backend Dispatch",
   "zh": "关键帧创建与后端派发",
   "level": "l3"
  },
  "CAP_3a4b5c70": {
   "en": "Loop Closure Global BA Refinement",
   "zh": "全局束调整回环精修",
   "level": "l3"
  },
  "CAP_fa560bf6": {
   "en": "Stereo Photometric Depth Init",
   "zh": "双目光度深度初始化",
   "level": "l3"
  },
  "CAP_177b403f": {
   "en": "Circle Stereo Matching",
   "zh": "Circle双向立体匹配",
   "level": "l3"
  },
  "CAP_85ab8703": {
   "en": "RANSAC 3-Point Motion Estimation",
   "zh": "RANSAC三点运动估计",
   "level": "l3"
  },
  "CAP_963fb49c": {
   "en": "Gauss-Newton Pose Refinement",
   "zh": "高斯-牛顿位姿精化",
   "level": "l3"
  },
  "CAP_cb01068f": {
   "en": "Kalman Filter Trajectory Smoothing",
   "zh": "卡尔曼滤波轨迹平滑",
   "level": "l3"
  },
  "CAP_d152bac7": {
   "en": "Depth Aware Feature Extraction",
   "zh": "深度感知特征提取",
   "level": "l3"
  },
  "CAP_75869195": {
   "en": "VSA Joint Stiffness Tracking",
   "zh": "VSA 关节刚度跟踪",
   "level": "l3"
  },
  "CAP_fd3bcfd9": {
   "en": "Admittance Parameter Smooth Transition",
   "zh": "导纳参数平滑过渡",
   "level": "l3"
  },
  "CAP_ebe28dea": {
   "en": "Smart Material Jamming-based Stiffness Control",
   "zh": "智能材料堵塞式变刚度控制",
   "level": "l2"
  },
  "CAP_b75a51ec": {
   "en": "Vacuum Pressure Feedback Stiffness Tracking",
   "zh": "真空度反馈刚度跟踪",
   "level": "l3"
  },
  "CAP_e17d0e51": {
   "en": "Multi-Chamber Stiffness Coordination",
   "zh": "多腔刚度协调",
   "level": "l3"
  },
  "CAP_85aebc30": {
   "en": "Multi-Robot Motion Execution",
   "zh": "多机器人运动执行",
   "level": "l2"
  },
  "CAP_7ef2d083": {
   "en": "Pheromone Gradient Vector Computation",
   "zh": "信息素梯度向量计算",
   "level": "l3"
  },
  "CAP_8702caac": {
   "en": "Parallel Physics-Accurate Multi-Robot Simulation",
   "zh": "并行物理精确多机器人仿真",
   "level": "l3"
  },
  "CAP_251cab78": {
   "en": "Arena and Puck Initialization",
   "zh": "场地与物体初始化",
   "level": "l3"
  },
  "CAP_f151bc4f": {
   "en": "Stigmergic Foraging Loop",
   "zh": "Stigmergic 觅食循环",
   "level": "l2"
  },
  "CAP_cc1bee76": {
   "en": "Stigmergic Clustering Loop",
   "zh": "Stigmergic 聚类循环",
   "level": "l2"
  },
  "CAP_2531acc8": {
   "en": "Puck Collision Detection via Proximity Sensor",
   "zh": "基于接近传感器的物体碰撞检测",
   "level": "l3"
  },
  "CAP_d5a5599d": {
   "en": "Deneubourg Pick-Up Probability Computation",
   "zh": "Deneubourg 抓起概率计算",
   "level": "l3"
  },
  "CAP_a77477cb": {
   "en": "Deneubourg Drop Probability Computation",
   "zh": "Deneubourg 放下概率计算",
   "level": "l3"
  },
  "CAP_6cb1e2c2": {
   "en": "Gripper Drop Actuation",
   "zh": "夹爪放下执行",
   "level": "l3"
  },
  "CAP_477965eb": {
   "en": "Scalability Verification",
   "zh": "可扩展性验证",
   "level": "l2"
  },
  "CAP_fff0c6f3": {
   "en": "Target Structure Lattice Initialization",
   "zh": "目标结构立方格初始化",
   "level": "l3"
  },
  "CAP_a86520c8": {
   "en": "Local Structure State Sensing",
   "zh": "局部结构状态感知",
   "level": "l3"
  },
  "CAP_f4f7f8c6": {
   "en": "Stirring and Mixing",
   "zh": "搅拌与混合",
   "level": "l2"
  },
  "CAP_03cc7b37": {
   "en": "Periodic Stirring Trajectory Generation",
   "zh": "周期搅拌轨迹生成",
   "level": "l3"
  },
  "CAP_e1be333e": {
   "en": "Curved-Bottom Contact Force Maintenance",
   "zh": "曲底容器接触力维持",
   "level": "l3"
  },
  "CAP_6eb9084a": {
   "en": "Viscous Medium Stirring Speed Adaptation",
   "zh": "粘性介质搅拌速度自适应",
   "level": "l3"
  },
  "CAP_e5465699": {
   "en": "Periodic Stirring Action Diffusion Modeling",
   "zh": "周期搅拌动作扩散建模",
   "level": "l3"
  },
  "CAP_819494b0": {
   "en": "Bimanual Sauteing Coordination Policy",
   "zh": "双手翻炒协同策略",
   "level": "l3"
  },
  "CAP_b6c9d891": {
   "en": "Mixing Uniformity Reward Design",
   "zh": "混合均匀度奖励设计",
   "level": "l3"
  },
  "CAP_dfc148ae": {
   "en": "Differentiable Fluid Gradient Stirring Policy",
   "zh": "可微流体梯度搅拌策略",
   "level": "l3"
  },
  "CAP_e789cacc": {
   "en": "Multi-Material Fluid Stirring Simulation Setup",
   "zh": "多材料流体搅拌仿真配置",
   "level": "l3"
  },
  "CAP_b97647fb": {
   "en": "Adaptive Iterative Learning Control for Force Tracking",
   "zh": "自适应迭代学习力控",
   "level": "l3"
  },
  "CAP_551ecdc7": {
   "en": "STOMP Stochastic Trajectory Optimization",
   "zh": "STOMP随机轨迹优化",
   "level": "l2"
  },
  "CAP_8b5ea0cc": {
   "en": "STOMP Noisy Trajectory Parameter Sampling",
   "zh": "STOMP噪声轨迹参数采样",
   "level": "l3"
  },
  "CAP_b8871203": {
   "en": "STOMP Gradient-Free Cost Evaluation",
   "zh": "STOMP无梯度代价评估",
   "level": "l3"
  },
  "CAP_1d172829": {
   "en": "STOMP Probability-Weighted PI2 Update",
   "zh": "STOMP概率加权PI2更新",
   "level": "l3"
  },
  "CAP_fdfb2a90": {
   "en": "STOMP Custom Task Subclass Implementation",
   "zh": "STOMP自定义Task子类实现",
   "level": "l3"
  },
  "CAP_9fb9c758": {
   "en": "STOMP Custom Gradient-Free Cost Function",
   "zh": "STOMP自定义无梯度代价函数",
   "level": "l3"
  },
  "CAP_83bda455": {
   "en": "MoveIt2 STOMP Planning Plugin Pipeline",
   "zh": "MoveIt2 STOMP规划插件流水线",
   "level": "l2"
  },
  "CAP_584442b5": {
   "en": "MoveIt MotionPlanRequest Seed Trajectory Extraction",
   "zh": "MoveIt MotionPlanRequest种子轨迹提取",
   "level": "l3"
  },
  "CAP_8edfa246": {
   "en": "STOMP ComposableTask Function Injection",
   "zh": "STOMP ComposableTask函数注入组合",
   "level": "l3"
  },
  "CAP_6aa7df9f": {
   "en": "Optimized Pose Driven 3D Map Rendering",
   "zh": "优化位姿驱动3D地图渲染",
   "level": "l3"
  },
  "CAP_898f7483": {
   "en": "Incremental ESDF from TSDF Wavefront",
   "zh": "TSDF波前传播增量ESDF",
   "level": "l3"
  },
  "CAP_d1cc0c12": {
   "en": "Online Dynamic-Aware Streaming Mapping",
   "zh": "在线动态感知流式建图",
   "level": "l2"
  },
  "CAP_fa5be71d": {
   "en": "Raycasting Void Region Detection",
   "zh": "射线投射空区域检测",
   "level": "l3"
  },
  "CAP_90b9d50a": {
   "en": "SCM Mechanism Fitting",
   "zh": "结构因果模型拟合",
   "level": "l3"
  },
  "CAP_2d425115": {
   "en": "Causal Model Evaluation and Falsification",
   "zh": "因果模型评估验证",
   "level": "l3"
  },
  "CAP_c40f71d1": {
   "en": "Interventional Distribution Sampling",
   "zh": "干预分布采样",
   "level": "l3"
  },
  "CAP_b648173e": {
   "en": "Anomaly Root Cause Attribution",
   "zh": "异常根因归因",
   "level": "l3"
  },
  "CAP_7e3f5a2b": {
   "en": "Counterfactual Sample Quality Evaluation",
   "zh": "反事实样本质量评估",
   "level": "l3"
  },
  "CAP_37772eda": {
   "en": "Neural SCM Interventional Distribution Sampling",
   "zh": "神经 SCM 干预分布采样",
   "level": "l3"
  },
  "CAP_017445ec": {
   "en": "BN Sparsity Channel Pruning",
   "zh": "BN稀疏通道剪枝",
   "level": "l2"
  },
  "CAP_0abe0b2a": {
   "en": "BN Scaling Factor Channel Coupling",
   "zh": "BN缩放因子通道耦合",
   "level": "l3"
  },
  "CAP_fdec8e58": {
   "en": "L1 Sparsity Regularized Training",
   "zh": "L1稀疏正则训练",
   "level": "l3"
  },
  "CAP_87862637": {
   "en": "Global Gamma Threshold Channel Pruning",
   "zh": "全局Gamma阈值通道剪枝",
   "level": "l3"
  },
  "CAP_33557978": {
   "en": "Structural Channel Removal and Weight Surgery",
   "zh": "结构化通道移除与权重缝合",
   "level": "l3"
  },
  "CAP_055ab7c4": {
   "en": "Pruned CNN Fine-tuning Recovery",
   "zh": "剪枝CNN微调恢复",
   "level": "l3"
  },
  "CAP_c6b85686": {
   "en": "Reconstruction Error Channel Pruning",
   "zh": "重建误差通道剪枝",
   "level": "l2"
  },
  "CAP_25a563df": {
   "en": "Next-Layer-Guided Filter Selection",
   "zh": "下一层引导滤波器选择",
   "level": "l3"
  },
  "CAP_a6cb72a3": {
   "en": "Layer-wise Physical Channel Pruning",
   "zh": "逐层物理通道剪枝",
   "level": "l3"
  },
  "CAP_29ff6f01": {
   "en": "Layer-wise Greedy Pruning Iteration",
   "zh": "逐层贪心剪枝迭代",
   "level": "l3"
  },
  "CAP_5eb1ecf7": {
   "en": "Dependency-Aware Group Pruning",
   "zh": "依赖感知组剪枝",
   "level": "l2"
  },
  "CAP_64930b04": {
   "en": "Coupled Parameter Group Discovery",
   "zh": "耦合参数组发现",
   "level": "l3"
  },
  "CAP_9133a116": {
   "en": "Group-Level Importance Scoring",
   "zh": "组级重要度评分",
   "level": "l3"
  },
  "CAP_42edd2a9": {
   "en": "Physical Parameter Removal",
   "zh": "物理参数移除",
   "level": "l3"
  },
  "CAP_23623fbd": {
   "en": "LLM Coupled Structural Pruning with Recovery",
   "zh": "LLM耦合结构化剪枝与恢复",
   "level": "l2"
  },
  "CAP_2c46102d": {
   "en": "LLM Coupled Structure Discovery",
   "zh": "LLM耦合结构发现",
   "level": "l3"
  },
  "CAP_63088038": {
   "en": "Group Importance Estimation via Gradient",
   "zh": "梯度组级重要度估计",
   "level": "l3"
  },
  "CAP_7edc4404": {
   "en": "Targeted Structural Pruning to Architecture",
   "zh": "目标结构化剪枝到架构",
   "level": "l3"
  },
  "CAP_c5d9371f": {
   "en": "LLM Recovery via LoRA",
   "zh": "LoRA与持续预训练LLM恢复",
   "level": "l3"
  },
  "CAP_e94e6c78": {
   "en": "Multi-Strategy Feature Matching",
   "zh": "多策略特征匹配",
   "level": "l3"
  },
  "CAP_b9cb734a": {
   "en": "Rotation Averaging",
   "zh": "旋转平均",
   "level": "l3"
  },
  "CAP_cb690135": {
   "en": "Joint Global Camera and Point Positioning",
   "zh": "全局相机与点位置联合估计",
   "level": "l3"
  },
  "CAP_c5dbf78a": {
   "en": "Hybrid Structure-from-Motion Reconstruction Pipeline",
   "zh": "混合式运动恢复结构重建流水线",
   "level": "l2"
  },
  "CAP_fa7cc350": {
   "en": "Incremental Position Estimation with Fixed Rotations",
   "zh": "固定旋转的增量位姿估计",
   "level": "l3"
  },
  "CAP_c6e58bb0": {
   "en": "Point and Image Filtering",
   "zh": "点与图像过滤",
   "level": "l3"
  },
  "CAP_3fe4496a": {
   "en": "End-to-End Learnable Structure-from-Motion Pipeline",
   "zh": "端到端可微学习驱动 SfM 流水线",
   "level": "l2"
  },
  "CAP_d796b444": {
   "en": "Query Frame Selection and Keypoint Querying",
   "zh": "查询帧选择与关键点查询",
   "level": "l3"
  },
  "CAP_adc02998": {
   "en": "Deep Point Tracker",
   "zh": "深度点跟踪器",
   "level": "l3"
  },
  "CAP_62f09c68": {
   "en": "Learnable Camera Initializer",
   "zh": "可微相机初始化器",
   "level": "l3"
  },
  "CAP_02a30f36": {
   "en": "Learnable Triangulator",
   "zh": "可微三角化器",
   "level": "l3"
  },
  "CAP_13602cb9": {
   "en": "Iterative Refinement and COLMAP Output",
   "zh": "迭代精修与 COLMAP 格式输出",
   "level": "l3"
  },
  "CAP_6911b58b": {
   "en": "Odometry Harsh Deceleration Stuck Detection",
   "zh": "里程计急刹卡住检测",
   "level": "l2"
  },
  "CAP_a057a4fe": {
   "en": "Odom Sliding Window Maintenance",
   "zh": "里程计滑动窗口维护",
   "level": "l3"
  },
  "CAP_02f41c81": {
   "en": "Acceleration Approximation",
   "zh": "近似加速度计算",
   "level": "l3"
  },
  "CAP_2091c9a8": {
   "en": "Harsh Brake Threshold Detection",
   "zh": "急刹阈值判定",
   "level": "l3"
  },
  "CAP_fb2e4074": {
   "en": "Stuck BT Status Return",
   "zh": "卡住 BT 状态返回",
   "level": "l3"
  },
  "CAP_785a4555": {
   "en": "Baseline Pose Reset",
   "zh": "基准位姿重置",
   "level": "l3"
  },
  "CAP_dc02071d": {
   "en": "Pose Distance Calculation",
   "zh": "位姿距离计算",
   "level": "l3"
  },
  "CAP_472fa8eb": {
   "en": "Movement Timeout Detection",
   "zh": "位移超时检测",
   "level": "l3"
  },
  "CAP_d7887375": {
   "en": "Oscillation Cost Setup",
   "zh": "振荡代价器初始化",
   "level": "l3"
  },
  "CAP_8f00751b": {
   "en": "Velocity Sign Flip Detection",
   "zh": "速度符号翻转检测",
   "level": "l3"
  },
  "CAP_0512536a": {
   "en": "Oscillation Flag Reset",
   "zh": "振荡标记重置",
   "level": "l3"
  },
  "CAP_0822c29b": {
   "en": "Oscillation Timeout Recovery Trigger",
   "zh": "振荡超时恢复触发",
   "level": "l3"
  },
  "CAP_3d83eb29": {
   "en": "Cartographer Grid Submap SLAM with Branch-and-Bound Loop Closure",
   "zh": "Cartographer 栅格子地图 SLAM 与分支定界回环流水线",
   "level": "l2"
  },
  "CAP_126099ae": {
   "en": "ActiveSubmaps2D Double-Buffering Submap Handoff",
   "zh": "ActiveSubmaps2D 双缓冲子地图切换",
   "level": "l3"
  },
  "CAP_a0d92e10": {
   "en": "Submap Construction and Indexing",
   "zh": "子图构建与索引",
   "level": "l3"
  },
  "CAP_16809c67": {
   "en": "Cross-Map DBoW2 KeyFrame Database Sharing",
   "zh": "跨子图 DBoW2 关键帧数据库共享",
   "level": "l3"
  },
  "CAP_3a4b5c6e": {
   "en": "RANSAC + Sim3/PnP Geometric Verification",
   "zh": "RANSAC+Sim3/PnP几何验证",
   "level": "l3"
  },
  "CAP_32567429": {
   "en": "Per-Robot Local Pose Graph Coarsening",
   "zh": "每机器人本地位姿图抽稀",
   "level": "l3"
  },
  "CAP_48bd369a": {
   "en": "Symbolic Causal Dependency Computation",
   "zh": "符号因果依赖计算",
   "level": "l2"
  },
  "CAP_9bb0bbf2": {
   "en": "Method Subtask Ordering Constraint Extraction",
   "zh": "方法子任务序约束提取",
   "level": "l3"
  },
  "CAP_b1028501": {
   "en": "LLM-Driven CoT Task Planning",
   "zh": "LLM驱动CoT任务规划",
   "level": "l3"
  },
  "CAP_5a0a107d": {
   "en": "LLM Dependency Ordering Inference and Graph Construction",
   "zh": "LLM依赖序推断与图构建",
   "level": "l3"
  },
  "CAP_2780648c": {
   "en": "LLM Plan Generation and Closed-Loop Execution",
   "zh": "LLM计划生成与闭环执行",
   "level": "l2"
  },
  "CAP_4414fa97": {
   "en": "Inferred Dependency Graph Reuse",
   "zh": "推断依赖图复用",
   "level": "l3"
  },
  "CAP_0229a442": {
   "en": "FIPA-SL Content Language and Ontology Schema Design",
   "zh": "FIPA-SL 内容语言与本体 schema 设计",
   "level": "l3"
  },
  "CAP_f0cfb9ef": {
   "en": "Interaction Protocol State Machine Execution",
   "zh": "交互协议状态机执行",
   "level": "l3"
  },
  "CAP_11bf9d5d": {
   "en": "Part/Artifact Multimodal Payload Contract (Content-Type Driven)",
   "zh": "Part/Artifact 多模态负载契约·content-type 驱动",
   "level": "l3"
  },
  "CAP_a301016f": {
   "en": "Long-Running Task Update Delivery Tri-Mode (Stream/Get/Subscribe+Push)",
   "zh": "长时任务更新交付机制三选一·stream/get/subscribe+push",
   "level": "l3"
  },
  "CAP_177fffc4": {
   "en": "Schema-Centric LLM Tool-Calling Unified Subtask Interface Paradigm",
   "zh": "schema 中心型 LLM tool-calling 子任务接口统一范式",
   "level": "l2"
  },
  "CAP_bd5f4d3a": {
   "en": "MCP Three-Primitives Interface Contract Orchestration (Tools/Resources/Prompts)",
   "zh": "MCP 三原语接口契约编排·tools/resources/prompts",
   "level": "l3"
  },
  "CAP_fd8834e1": {
   "en": "MCP Stateful Connection Lifecycle (Initialize Capability Negotiation)",
   "zh": "MCP 有状态连接生命周期·initialize 能力协商",
   "level": "l3"
  },
  "CAP_0a254521": {
   "en": "MCP Transport Dual-Mode Interface (stdio/Streamable HTTP)",
   "zh": "MCP 传输双模接口·stdio/Streamable HTTP",
   "level": "l3"
  },
  "CAP_8a0d86c6": {
   "en": "Model Driven Tool Execution",
   "zh": "模型驱动工具执行",
   "level": "l3"
  },
  "CAP_10266278": {
   "en": "Programmatic Tool Calling via Code Execution",
   "zh": "编程式工具调用（代码执行）",
   "level": "l3"
  },
  "CAP_66486fef": {
   "en": "Tool Result Message Aggregation",
   "zh": "工具结果消息聚合",
   "level": "l3"
  },
  "CAP_70bea994": {
   "en": "Tool Search Deferred Loading",
   "zh": "工具延迟加载",
   "level": "l3"
  },
  "CAP_e9c225ef": {
   "en": "Meta-Protocol Negotiation Layer",
   "zh": "元协议协商层",
   "level": "l3"
  },
  "CAP_3f385e9f": {
   "en": "Bddl Goal Parsing",
   "zh": "BDDL 目标描述解析",
   "level": "l3"
  },
  "CAP_c786acab": {
   "en": "Tolerance Threshold Config",
   "zh": "容差阈值配置",
   "level": "l3"
  },
  "CAP_162cd21d": {
   "en": "PLEXIL End Condition Judgment",
   "zh": "PLEXIL EndCondition 判定",
   "level": "l3"
  },
  "CAP_198d3997": {
   "en": "Multimodal Success Classifier",
   "zh": "多模态成功分类器",
   "level": "l3"
  },
  "CAP_6343569e": {
   "en": "LLM VLM Semantic Matching",
   "zh": "LLM/VLM 语义匹配推理",
   "level": "l3"
  },
  "CAP_b86a261b": {
   "en": "LLM Inference Judgment",
   "zh": "LLM 推理判定",
   "level": "l3"
  },
  "CAP_823a8467": {
   "en": "VLM Visual Semantic Comparison",
   "zh": "VLM 视觉语义比对",
   "level": "l3"
  },
  "CAP_9da5ec87": {
   "en": "Semantic Success Judgment Output",
   "zh": "语义成功判定输出",
   "level": "l3"
  },
  "CAP_6a34bff5": {
   "en": "LLM Critic Self Verification",
   "zh": "LLM 评审员自验证",
   "level": "l3"
  },
  "CAP_e412101d": {
   "en": "Success Detection Feedback Generation",
   "zh": "成功检测反馈生成",
   "level": "l3"
  },
  "CAP_92289537": {
   "en": "Case-Based Reasoning for Success Reuse",
   "zh": "基于案例推理的成功复用",
   "level": "l2"
  },
  "CAP_fec6a9f3": {
   "en": "Embedding-Based Case Retrieval",
   "zh": "基于嵌入的案例检索",
   "level": "l3"
  },
  "CAP_bfb04baa": {
   "en": "Feedback-Driven Case Reranking",
   "zh": "反馈驱动的案例重排",
   "level": "l3"
  },
  "CAP_032ace64": {
   "en": "Case-Based Experiment Plan Generation",
   "zh": "基于案例的实验计划生成",
   "level": "l3"
  },
  "CAP_42119cba": {
   "en": "Experiment Execution with Reflexion-Based Debugging",
   "zh": "带反射式调试的实验执行",
   "level": "l3"
  },
  "CAP_a99f79b0": {
   "en": "Success Case Retention",
   "zh": "成功案例留存",
   "level": "l3"
  },
  "CAP_62086653": {
   "en": "Deployment Stage Case Adaptation",
   "zh": "部署阶段案例适配",
   "level": "l3"
  },
  "CAP_b174f995": {
   "en": "Industrial Multi-Cup Array Palletizing Gripper Design",
   "zh": "工业多吸盘阵列码垛夹爪设计",
   "level": "l2"
  },
  "CAP_4fb2f85a": {
   "en": "Object Spec Parsing And Cup Sizing",
   "zh": "物体规格解析与吸盘选型",
   "level": "l3"
  },
  "CAP_38c1c7b0": {
   "en": "Rigid Array Topology And Manifold Design",
   "zh": "刚性阵列布局与真空分配设计",
   "level": "l3"
  },
  "CAP_ac094454": {
   "en": "Force Balance And Rigid Frame Design",
   "zh": "力学校核与刚性夹具体设计",
   "level": "l3"
  },
  "CAP_7ff56183": {
   "en": "Pump Pid Tuning And Failure Safety",
   "zh": "泵 PID 调试与失效安全",
   "level": "l3"
  },
  "CAP_9e93d3f0": {
   "en": "Passive Compliance Suction Gripper Design",
   "zh": "被动柔顺吸盘夹爪设计",
   "level": "l2"
  },
  "CAP_1b72bfb3": {
   "en": "Surface Variability Parsing And Passive Element Selection",
   "zh": "物体表面变化解析与被动元件选型",
   "level": "l3"
  },
  "CAP_bdc9dee4": {
   "en": "Passive Compliance Modeling And Array Configuration",
   "zh": "被动柔顺度建模与阵列配置",
   "level": "l3"
  },
  "CAP_890363c2": {
   "en": "Hyperelastic FEM And Frame Design",
   "zh": "超弹性 FEM 与刚性夹具体设计",
   "level": "l3"
  },
  "CAP_fb43191d": {
   "en": "Height Angle Shape Adaptive Testing",
   "zh": "高度/角度/形状自适应测试",
   "level": "l3"
  },
  "CAP_635ba57c": {
   "en": "Soft Body Variable Stiffness Suction Gripper Design",
   "zh": "软体变刚度吸盘夹爪设计",
   "level": "l2"
  },
  "CAP_53e69d08": {
   "en": "Soft Body Variable Stiffness Mechanism Parsing",
   "zh": "软体变刚度机理解析",
   "level": "l3"
  },
  "CAP_4ce94cd2": {
   "en": "Soft Body Suction Hybrid Structure Design",
   "zh": "软体-吸盘混合结构设计",
   "level": "l3"
  },
  "CAP_bf0d6470": {
   "en": "Variable Stiffness Suction Performance Testing",
   "zh": "变刚度吸盘混合性能测试",
   "level": "l3"
  },
  "CAP_b3492541": {
   "en": "Suction Leak Detection",
   "zh": "吸盘泄漏检测",
   "level": "l2"
  },
  "CAP_2e04820a": {
   "en": "Suction Detachment Detection and Recovery",
   "zh": "负压失附检测与恢复",
   "level": "l2"
  },
  "CAP_4e3bef99": {
   "en": "Vacuum Pressure Seal Verification",
   "zh": "真空压力密封性验证",
   "level": "l3"
  },
  "CAP_6da52922": {
   "en": "Pressure Anomaly and SLIP Detection",
   "zh": "压力异常与 SLIP 检测",
   "level": "l3"
  },
  "CAP_d7fbedee": {
   "en": "Reactive Suction Regrasp on Seal Failure",
   "zh": "密封失败反应式重抓",
   "level": "l3"
  },
  "CAP_68277d58": {
   "en": "Detachment Safety Recovery",
   "zh": "失附安全恢复",
   "level": "l3"
  },
  "CAP_9011564c": {
   "en": "Pressure Transient Leak Signature Classification",
   "zh": "压力瞬态泄漏特征分类与归因",
   "level": "l3"
  },
  "CAP_171d9dfc": {
   "en": "Transit Pressure Drop Precursor Detection",
   "zh": "运输期压力跌落瞬态前兆检测",
   "level": "l3"
  },
  "CAP_f01bb483": {
   "en": "Learned Suction Leak Anomaly Detection",
   "zh": "学习式吸盘泄漏异常检测",
   "level": "l2"
  },
  "CAP_160c11f2": {
   "en": "Reconstruction Architecture Selection Time Series",
   "zh": "时序重构架构选型",
   "level": "l3"
  },
  "CAP_986ecc70": {
   "en": "Normal Time Series Sequence Reconstruction Training",
   "zh": "无异常时序序列重构训练",
   "level": "l3"
  },
  "CAP_482166b1": {
   "en": "Reconstruction Inference and Scoring Time Series",
   "zh": "时序重构推理与打分",
   "level": "l3"
  },
  "CAP_96e83359": {
   "en": "Time Series Anomaly Score Alignment",
   "zh": "时序异常分数对齐与平滑",
   "level": "l3"
  },
  "CAP_ce861f58": {
   "en": "Suction Signal Reconstruction Leak Detection",
   "zh": "吸盘多变量信号重构型泄漏检测",
   "level": "l3"
  },
  "CAP_118ee0c9": {
   "en": "Multi-Cup Distributed Leak Localization",
   "zh": "多吸盘分布式泄漏定位",
   "level": "l2"
  },
  "CAP_b4f713ca": {
   "en": "Multi-Cup Contact Pattern Analysis",
   "zh": "多吸盘接触模式分析",
   "level": "l3"
  },
  "CAP_75e77e7c": {
   "en": "Multi-Cup Load Distribution",
   "zh": "多吸盘载荷分配",
   "level": "l3"
  },
  "CAP_6aacc127": {
   "en": "Multi-Channel Pressure Flow Gradient Localization",
   "zh": "多通道压力流率梯度泄漏定位",
   "level": "l3"
  },
  "CAP_494d803a": {
   "en": "Channel Isolation Leak Confirmation",
   "zh": "通道隔离式泄漏根因确认",
   "level": "l3"
  },
  "CAP_2841d971": {
   "en": "Analytic Seal-Wrench Suction Grasp Planning",
   "zh": "解析密封-力矩吸盘抓取规划",
   "level": "l2"
  },
  "CAP_ded55f6a": {
   "en": "Suction Seal-Wrench Analytic Scoring",
   "zh": "吸盘密封-力矩解析评分",
   "level": "l3"
  },
  "CAP_696cc464": {
   "en": "Learned Suction Grasp Heatmap Detection",
   "zh": "学习式吸盘抓取热图检测",
   "level": "l3"
  },
  "CAP_bd57afb0": {
   "en": "Heuristic Pressure-Verified Suction Picking",
   "zh": "启发式压力验证吸盘拣取",
   "level": "l2"
  },
  "CAP_589ac42f": {
   "en": "Heuristic Flat-Patch Suction Grasp Search",
   "zh": "启发式平面斑块吸盘抓取搜索",
   "level": "l3"
  },
  "CAP_72d55ee4": {
   "en": "Active Blow-Off Release Planning",
   "zh": "正压吹气主动释放规划",
   "level": "l2"
  },
  "CAP_ac6216a0": {
   "en": "Release Trigger Timing Planning",
   "zh": "释放触发时机规划",
   "level": "l3"
  },
  "CAP_377f773e": {
   "en": "Positive-Pressure Blow-Off Actuation",
   "zh": "正压吹气脱附执行",
   "level": "l3"
  },
  "CAP_883c09f5": {
   "en": "Release-Retreat Coordination",
   "zh": "释放退刀协调",
   "level": "l3"
  },
  "CAP_88022505": {
   "en": "Gravity Drop-and-Settle Placement Release Planning",
   "zh": "重力落放定位释放规划",
   "level": "l2"
  },
  "CAP_8de91579": {
   "en": "Drop-Height and Release-Pose Planning",
   "zh": "落放高度与释放位姿规划",
   "level": "l3"
  },
  "CAP_b3632a10": {
   "en": "Passive Vent Drop-Release",
   "zh": "被动泄压落放释放",
   "level": "l3"
  },
  "CAP_8d8d180d": {
   "en": "Settle Verification",
   "zh": "沉降确认",
   "level": "l3"
  },
  "CAP_f9fcdbad": {
   "en": "Contact-Verified Compliance Release Planning",
   "zh": "接触感知柔顺释放规划",
   "level": "l2"
  },
  "CAP_58bd350a": {
   "en": "Contact Release Force Ramp-Down Suction-Coupled",
   "zh": "接触释放力渐降（吸盘特化）",
   "level": "l3"
  },
  "CAP_1e187677": {
   "en": "Release Contact Verification",
   "zh": "释放接触验证",
   "level": "l3"
  },
  "CAP_db958e4a": {
   "en": "Peel/Shear Detachment Release Planning",
   "zh": "剥离剪切式脱附释放规划",
   "level": "l2"
  },
  "CAP_8103ad71": {
   "en": "Peel Trajectory Planning",
   "zh": "剥离轨迹规划",
   "level": "l3"
  },
  "CAP_8355ab54": {
   "en": "Peel Execution with Progressive Vent",
   "zh": "渐进泄压剥离执行",
   "level": "l3"
  },
  "CAP_b54963da": {
   "en": "Peel Detach Confirmation",
   "zh": "剥离脱附确认",
   "level": "l3"
  },
  "CAP_e65e4dad": {
   "en": "Cartesian Trajectory Control via Kinematic Planning",
   "zh": "运动学轨迹规划式笛卡尔运动控制",
   "level": "l3"
  },
  "CAP_52857d6d": {
   "en": "SBOM-Driven Dependency Vulnerability Management",
   "zh": "SBOM 驱动的依赖漏洞管理",
   "level": "l2"
  },
  "CAP_815ac2c1": {
   "en": "Manifest Inventory and Lock Pinning",
   "zh": "清单收集与版本锁定",
   "level": "l3"
  },
  "CAP_9fc75955": {
   "en": "SBOM Generation from Source Manifests",
   "zh": "SBOM 生成（从源代码声明依赖）",
   "level": "l3"
  },
  "CAP_3f3a1ca7": {
   "en": "VEX Filtering and EPSS Prioritization",
   "zh": "VEX 过滤与 EPSS 优先级排序",
   "level": "l3"
  },
  "CAP_011ae374": {
   "en": "Fix Version Resolution and Upgrade",
   "zh": "Fix 版本解析与依赖升级",
   "level": "l3"
  },
  "CAP_d9034720": {
   "en": "SBOM Aggregation to Tracking Platform",
   "zh": "SBOM 聚合至追踪平台",
   "level": "l3"
  },
  "CAP_b3d17bbb3c": {
   "en": "MCUboot Secure Firmware Signing and Anti-Rollback",
   "zh": "MCUboot 安全固件签名与防回滚",
   "level": "l2"
  },
  "CAP_6995d00e": {
   "en": "MCUboot Image Encryption",
   "zh": "MCUboot 镜像加密",
   "level": "l3"
  },
  "CAP_49780cc4": {
   "en": "Robot Deployment Image Build",
   "zh": "机器人部署镜像构建",
   "level": "l3"
  },
  "CAP_9808b5eb": {
   "en": "Image Signing and SBOM Attestation",
   "zh": "镜像签名与 SBOM 证明",
   "level": "l3"
  },
  "CAP_9ddb03ee": {
   "en": "Supply Chain Transparency Log",
   "zh": "供应链透明日志",
   "level": "l3"
  },
  "CAP_2fe49ebd": {
   "en": "Image Vulnerability Scan",
   "zh": "镜像漏洞扫描",
   "level": "l3"
  },
  "CAP_e8c79b8b": {
   "en": "Registry Deployment Gatekeeping",
   "zh": "注册表部署门禁",
   "level": "l3"
  },
  "CAP_cc738351": {
   "en": "SLSA Provenance Verification",
   "zh": "SLSA Provenance 验证",
   "level": "l3"
  },
  "CAP_54cfefb5": {
   "en": "Container Image Vulnerability Scanning",
   "zh": "容器镜像漏洞扫描",
   "level": "l2"
  },
  "CAP_591c7b3d4a": {
   "en": "TUF Key Rotation and Consistent Snapshots",
   "zh": "TUF 密钥轮换与一致快照",
   "level": "l3"
  },
  "CAP_cd38bdd9": {
   "en": "Vehicle Version Manifest and Installation Report",
   "zh": "车辆版本清单与安装报告",
   "level": "l3"
  },
  "CAP_0402349a": {
   "en": "Boustrophedon Sweep Direction Selection",
   "zh": "牛耕方向选择",
   "level": "l3"
  },
  "CAP_49aa037c": {
   "en": "Inter-Cell Path Concatenation",
   "zh": "单元间路径连接",
   "level": "l3"
  },
  "CAP_1daaed75": {
   "en": "Wavefront Coverage Planning",
   "zh": "波前覆盖规划",
   "level": "l3"
  },
  "CAP_42f63be0": {
   "en": "Crawler Coverage Path Planning and Calibration",
   "zh": "Crawler 覆盖路径规划与标定",
   "level": "l3"
  },
  "CAP_3495c06b": {
   "en": "ROV Probe Normal Alignment",
   "zh": "ROV 探头法向对准",
   "level": "l3"
  },
  "CAP_78357c62": {
   "en": "Crawler Probe Array Continuous Scanning",
   "zh": "Crawler 探头阵列连续扫查",
   "level": "l3"
  },
  "CAP_2e2bc24e": {
   "en": "Hybrid Force-Position Coverage Wiping",
   "zh": "混合力位覆盖擦拭",
   "level": "l2"
  },
  "CAP_0f793dfa": {
   "en": "VBTS Texture Material Classification",
   "zh": "视触觉纹理材质分类",
   "level": "l2"
  },
  "CAP_53e65ded": {
   "en": "Active Haptic Texture Recognition",
   "zh": "主动触觉纹理识别",
   "level": "l2"
  },
  "CAP_3bc426e9": {
   "en": "BioTac Multimodal Signal Acquisition",
   "zh": "BioTac 多模态信号采集",
   "level": "l3"
  },
  "CAP_726cca18": {
   "en": "BioTac Electrode Calibration",
   "zh": "BioTac 电极标定",
   "level": "l3"
  },
  "CAP_f3d225c3": {
   "en": "BioTac Multimodal Texture Feature Extraction",
   "zh": "BioTac 多模态纹理特征提取",
   "level": "l3"
  },
  "CAP_bf70bf2b": {
   "en": "MAP Texture Classification",
   "zh": "MAP 纹理分类决策",
   "level": "l3"
  },
  "CAP_1eaf54a9": {
   "en": "Piezoelectric Vibration Roughness Sensing",
   "zh": "压电振动粗糙度感知",
   "level": "l2"
  },
  "CAP_0bee021f": {
   "en": "PVDF Signal Preprocessing",
   "zh": "PVDF 信号预处理与同步",
   "level": "l3"
  },
  "CAP_e6754ecc": {
   "en": "PVDF Audio/Neuromorphic Feature Extraction",
   "zh": "PVDF 音频/神经形态特征提取",
   "level": "l3"
  },
  "CAP_51fce715": {
   "en": "PVDF Roughness Classification",
   "zh": "PVDF 粗糙度分类",
   "level": "l3"
  },
  "CAP_17e3d622": {
   "en": "PVDF Roughness Class Output",
   "zh": "PVDF 粗糙度等级输出",
   "level": "l3"
  },
  "CAP_0da789d9": {
   "en": "Tactile Probe Signal Acquisition",
   "zh": "触觉探针信号采集",
   "level": "l3"
  },
  "CAP_66bf8d89": {
   "en": "Friction Coefficient Output",
   "zh": "摩擦系数输出",
   "level": "l3"
  },
  "CAP_3d7e8f2a": {
   "en": "Six-Axis F/T Signal Acquisition",
   "zh": "六维 F/T 信号采集",
   "level": "l3"
  },
  "CAP_7d8c3f25": {
   "en": "Steady State Slip Detection and Force Ratio Computation",
   "zh": "稳态滑动检测与力比计算",
   "level": "l3"
  },
  "CAP_8e1f4a36": {
   "en": "Friction Coefficient Spatial Mapping",
   "zh": "摩擦系数空间分布测绘",
   "level": "l3"
  },
  "CAP_9f2b5c47": {
   "en": "Friction Coefficient Spatial Output",
   "zh": "摩擦系数空间分布输出",
   "level": "l3"
  },
  "CAP_3d79a8e7": {
   "en": "Areal Scan Acquisition Pipeline",
   "zh": "三维光学面扫描采集流水线",
   "level": "l2"
  },
  "CAP_f480c7c2": {
   "en": "Areal Field Processing Pipeline",
   "zh": "面高度场重建与滤波流水线",
   "level": "l2"
  },
  "CAP_5ca0769a": {
   "en": "Areal Calibration Planning",
   "zh": "面扫描校准与采集规划",
   "level": "l3"
  },
  "CAP_b62c4ff8": {
   "en": "Areal Scan Acquisition",
   "zh": "三维高度场采集",
   "level": "l3"
  },
  "CAP_3757cf99": {
   "en": "Areal Height Field Reconstruction",
   "zh": "高度场重建与预处理",
   "level": "l3"
  },
  "CAP_4dd398a4": {
   "en": "Areal Surface Filtering",
   "zh": "面形状/波纹/粗糙度滤波",
   "level": "l3"
  },
  "CAP_2f6e4f95": {
   "en": "Areal Parameter Calculation",
   "zh": "面粗糙度参数计算",
   "level": "l3"
  },
  "CAP_e10a3fed": {
   "en": "Areal Conformance Assessment",
   "zh": "面粗糙度合规判定",
   "level": "l3"
  },
  "CAP_8f854b64": {
   "en": "Stylus Profile Acquisition Pipeline",
   "zh": "触针式轮廓采集流水线",
   "level": "l2"
  },
  "CAP_b704b3f7": {
   "en": "Profile Processing Pipeline",
   "zh": "轮廓预处理与滤波流水线",
   "level": "l2"
  },
  "CAP_5d2ba827": {
   "en": "Stylus Calibration Planning",
   "zh": "触针仪器校准与采集规划",
   "level": "l3"
  },
  "CAP_d3cf9e75": {
   "en": "Stylus Profile Acquisition",
   "zh": "二维轮廓采集",
   "level": "l3"
  },
  "CAP_fed04c00": {
   "en": "Profile Preprocessing",
   "zh": "轮廓预处理",
   "level": "l3"
  },
  "CAP_5363d552": {
   "en": "Profile Filtering",
   "zh": "轮廓高斯滤波",
   "level": "l3"
  },
  "CAP_8627d593": {
   "en": "Profile Parameter Calculation",
   "zh": "二维粗糙度参数计算",
   "level": "l3"
  },
  "CAP_70e77684": {
   "en": "Profile Conformance Assessment",
   "zh": "二维参数合规判定",
   "level": "l3"
  },
  "CAP_dab7d729": {
   "en": "ML Image Capture Pipeline",
   "zh": "ML 图像采集与预处理流水线",
   "level": "l2"
  },
  "CAP_948ded2d": {
   "en": "ML Feature Regression Pipeline",
   "zh": "ML 特征提取与 CNN 回归流水线",
   "level": "l2"
  },
  "CAP_9a565aa5": {
   "en": "Controlled Illumination Capture",
   "zh": "受控照明图像采集",
   "level": "l3"
  },
  "CAP_006254a8": {
   "en": "Image Preprocessing ROI",
   "zh": "图像预处理与 ROI 提取",
   "level": "l3"
  },
  "CAP_e7a3d66e": {
   "en": "CNN Roughness Regression",
   "zh": "CNN 粗糙度回归",
   "level": "l3"
  },
  "CAP_003c01bf": {
   "en": "ML Uncertainty Quantification",
   "zh": "ML 不确定度量化",
   "level": "l3"
  },
  "CAP_85f5ceba": {
   "en": "ML Conformance Assessment",
   "zh": "ML 推断合规判定",
   "level": "l3"
  },
  "CAP_0dd5d4b8": {
   "en": "Scatter Gloss Acquisition Pipeline",
   "zh": "散射与光泽采集流水线",
   "level": "l2"
  },
  "CAP_10d5456e": {
   "en": "Orange Peel DOI Pipeline",
   "zh": "橘皮 DOI 采集与反演流水线",
   "level": "l2"
  },
  "CAP_b94b119b": {
   "en": "Scatter Appearance Calibration",
   "zh": "散射/光泽仪器校准与采集规划",
   "level": "l3"
  },
  "CAP_3c06cb3c": {
   "en": "Scatter Acquisition",
   "zh": "散射光采集",
   "level": "l3"
  },
  "CAP_8c49fe17": {
   "en": "Gloss Acquisition",
   "zh": "镜面光泽采集",
   "level": "l3"
  },
  "CAP_a5debd83": {
   "en": "Orange Peel DOI Acquisition",
   "zh": "橘皮/DOI 采集",
   "level": "l3"
  },
  "CAP_406083e8": {
   "en": "Scatter Inversion Parameter Calc",
   "zh": "散射反演与外观参数计算",
   "level": "l3"
  },
  "CAP_bf470733": {
   "en": "Appearance Conformance Assessment",
   "zh": "外观合规判定",
   "level": "l3"
  },
  "CAP_b884585b": {
   "en": "3D Structured Light AOI",
   "zh": "3D 结构光 AOI",
   "level": "l2"
  },
  "CAP_5dee81bb": {
   "en": "Unsupervised Anomaly Detection AOI",
   "zh": "无监督异常检测 AOI",
   "level": "l2"
  },
  "CAP_4752629d": {
   "en": "Fringe Projection Capture",
   "zh": "条纹投影采集",
   "level": "l3"
  },
  "CAP_aef6a85b": {
   "en": "Phase Recovery Unwrapping",
   "zh": "相位解包裹",
   "level": "l3"
  },
  "CAP_c9cf20f0": {
   "en": "Height Map Reconstruction",
   "zh": "高度图重建",
   "level": "l3"
  },
  "CAP_ce3d0dda": {
   "en": "Geometry Feature Extraction",
   "zh": "几何特征提取",
   "level": "l3"
  },
  "CAP_1bc6518a": {
   "en": "3D Geometry Defect Decision",
   "zh": "缺陷判定",
   "level": "l3"
  },
  "CAP_c20f5c92": {
   "en": "Golden Template Acquisition",
   "zh": "金样模板采集",
   "level": "l3"
  },
  "CAP_0dc72b17": {
   "en": "Test Image Capture",
   "zh": "待测图像采集",
   "level": "l3"
  },
  "CAP_11bf835a": {
   "en": "Difference Image Computation",
   "zh": "差分图计算",
   "level": "l3"
  },
  "CAP_dbf001a7": {
   "en": "Defect Segmentation",
   "zh": "缺陷分割",
   "level": "l3"
  },
  "CAP_8991947d": {
   "en": "Defect Classification Decision",
   "zh": "缺陷分类决策",
   "level": "l3"
  },
  "CAP_e8c4fac2": {
   "en": "Normal Model Training",
   "zh": "正常模型训练",
   "level": "l3"
  },
  "CAP_83d736ec": {
   "en": "Anomaly Score Threshold Calibration",
   "zh": "异常分数阈值校准",
   "level": "l3"
  },
  "CAP_d6cbe87a": {
   "en": "Online Anomaly Inference Decision",
   "zh": "在线异常推理与判定",
   "level": "l3"
  },
  "CAP_af34483d": {
   "en": "Anomaly Model Export Deployment",
   "zh": "正常模型导出与部署",
   "level": "l3"
  },
  "CAP_52ef1a5d": {
   "en": "Model to Model Local Loop Closure",
   "zh": "模型到模型局部回环",
   "level": "l3"
  },
  "CAP_cdbff9f7": {
   "en": "Embedded Deformation Graph Non Rigid Deformation",
   "zh": "嵌入式形变图非刚性变形",
   "level": "l3"
  },
  "CAP_9b1554dc": {
   "en": "Dense Direct Bundle Adjusted RGBD SLAM",
   "zh": "稠密直接 BA RGB-D SLAM",
   "level": "l3"
  },
  "CAP_2c1123d9": {
   "en": "Multi Model Surfel Instance Dynamic Tracking",
   "zh": "多模型面元实例动态跟踪",
   "level": "l3"
  },
  "CAP_8ce4fdde": {
   "en": "Surfel Map Range Image Rendering",
   "zh": "面元地图 range image 渲染",
   "level": "l3"
  },
  "CAP_aabe24ce": {
   "en": "Pose Graph Loop Closure Optimization",
   "zh": "位姿图回环优化",
   "level": "l2"
  },
  "CAP_a24b4ed9": {
   "en": "Loop Closure Virtual View Verification",
   "zh": "回环虚拟视角多帧验证",
   "level": "l3"
  },
  "CAP_b937bf05": {
   "en": "Pose Graph Optimization Surfel Map Update",
   "zh": "位姿图优化与面元地图更新",
   "level": "l3"
  },
  "CAP_fde1ccf3": {
   "en": "Multi Scale Octree Surfel Optimization",
   "zh": "多尺度八叉树面元连续时间优化",
   "level": "l3"
  },
  "CAP_788fefd1": {
   "en": "Decoupled Surfel Reconstruction",
   "zh": "解耦面元重建",
   "level": "l2"
  },
  "CAP_204dcea0": {
   "en": "Surfel Confidence Accumulation Stability Judgment",
   "zh": "面元置信度累积与稳定性判定",
   "level": "l3"
  },
  "CAP_2320ce79": {
   "en": "Flat Surfel Array Incremental Fusion",
   "zh": "扁平面元数组增量融合",
   "level": "l3"
  },
  "CAP_3d5bfcd2": {
   "en": "Foreground Segmentation Dynamic Surfel Removal",
   "zh": "前景分割动态面元删除",
   "level": "l3"
  },
  "CAP_4d6c020f": {
   "en": "On the Fly Non Rigid Warp",
   "zh": "即时节点创建非刚性变形",
   "level": "l3"
  },
  "CAP_ba4d44fd": {
   "en": "Superpixel Surfel Initialization Fusion",
   "zh": "超像素面元初始化与融合",
   "level": "l3"
  },
  "CAP_4af609c3": {
   "en": "Pose Graph Rigid Map Deformation",
   "zh": "位姿图刚性地图变形",
   "level": "l3"
  },
  "CAP_8c276b77": {
   "en": "Local Map Extraction Rendering",
   "zh": "局部地图提取与渲染",
   "level": "l3"
  },
  "CAP_871e23ac": {
   "en": "Surgical Instrument Handover",
   "zh": "手术器械传递",
   "level": "l2"
  },
  "CAP_a0a2132a": {
   "en": "Voice-Vision-Force Surgical Instrument Handover Pipeline",
   "zh": "声控-视觉-力控手术器械传递流水线",
   "level": "l2"
  },
  "CAP_761c2abe": {
   "en": "Instrument QR/Barcode Recognition with Database Lookup",
   "zh": "器械二维码识别与数据库查询",
   "level": "l3"
  },
  "CAP_2e0bb90a1f": {
   "en": "Surgeon Hand Keypoint Detection",
   "zh": "术者手部关键点检测",
   "level": "l3"
  },
  "CAP_393d4f55": {
   "en": "Surgeon Gesture State Classification",
   "zh": "术者手势状态分类",
   "level": "l3"
  },
  "CAP_122893b4": {
   "en": "Surgical Field Grid-based Path Planning",
   "zh": "手术野栅格法避障路径规划",
   "level": "l3"
  },
  "CAP_835c83fb": {
   "en": "Instrument Retrieval and Pre-sterilization",
   "zh": "器械回收与初消毒",
   "level": "l3"
  },
  "CAP_2e3115e2": {
   "en": "R2H Object Perception",
   "zh": "R2H 物体感知",
   "level": "l3"
  },
  "CAP_a602591a": {
   "en": "Geometric Hand-Pose Driven Handover",
   "zh": "几何手姿驱动传递",
   "level": "l2"
  },
  "CAP_5e58a5e5": {
   "en": "Multi-Sensor Hand Pose Acquisition",
   "zh": "接械手多维位姿采集",
   "level": "l3"
  },
  "CAP_c9831dce": {
   "en": "Q/N/Z Instrument Classification Routing",
   "zh": "Q/N/Z 器械分类路由",
   "level": "l3"
  },
  "CAP_a5d7eb9d": {
   "en": "Transferability Evaluation Gate",
   "zh": "可传递性评价门控",
   "level": "l3"
  },
  "CAP_afb6d519": {
   "en": "N-Type Handover Pose Geometric Solving",
   "zh": "N 类传递位姿几何解算",
   "level": "l3"
  },
  "CAP_569eae06": {
   "en": "Hand Pose Stability Evaluation",
   "zh": "接械手位姿稳定性评价",
   "level": "l3"
  },
  "CAP_dba8c664": {
   "en": "CLIK Arm Inverse Kinematics",
   "zh": "CLIK机械臂逆运动学",
   "level": "l3"
  },
  "CAP_aaafade3": {
   "en": "VLA Policy Inference for Handover",
   "zh": "VLA 交接策略推理",
   "level": "l3"
  },
  "CAP_7d496bca": {
   "en": "VLA Fine-tuning for Handover",
   "zh": "VLA 交接微调",
   "level": "l3"
  },
  "CAP_85aeb840": {
   "en": "Deep Handover Config Synthesis",
   "zh": "深度交接配置合成",
   "level": "l3"
  },
  "CAP_163a5d38": {
   "en": "Handover Simulation Asset Generation",
   "zh": "交接仿真资产生成",
   "level": "l3"
  },
  "CAP_950a0e53": {
   "en": "Procedural Handover Scene Synthesis",
   "zh": "程序化交接场景合成",
   "level": "l3"
  },
  "CAP_7e12ebae": {
   "en": "Surgical Cutting Demonstration Collection",
   "zh": "手术切割演示与语言标注采集",
   "level": "l3"
  },
  "CAP_05343cc5": {
   "en": "Language-Conditioned Autonomous Cutting Execution",
   "zh": "语言条件自主切割执行",
   "level": "l3"
  },
  "CAP_956d7abe": {
   "en": "STAR Supervised Autonomous Surgery Framework",
   "zh": "STAR 监督自主手术框架",
   "level": "l2"
  },
  "CAP_532eb999": {
   "en": "KUKA LWR STAR Robot Control",
   "zh": "KUKA LWR STAR 机器人控制",
   "level": "l3"
  },
  "CAP_57453ac1": {
   "en": "NVD 3D Tissue Tracking",
   "zh": "NVD 三维组织跟踪",
   "level": "l3"
  },
  "CAP_030dc813": {
   "en": "U-Net Tissue Segmentation",
   "zh": "U-Net 组织分割",
   "level": "l3"
  },
  "CAP_044f648d": {
   "en": "Operator Supervised Plan Selection",
   "zh": "操作者监督计划选择",
   "level": "l3"
  },
  "CAP_7f194e30": {
   "en": "Supervised Autonomous Electrosurgery",
   "zh": "监督自主电手术执行",
   "level": "l3"
  },
  "CAP_adf9a22b": {
   "en": "MEDiC Differentiable Physics Shared Autonomy",
   "zh": "MEDiC 可微物理共享自主分离辅助",
   "level": "l2"
  },
  "CAP_f734e4a0": {
   "en": "Tissue State Estimation",
   "zh": "组织状态估计",
   "level": "l3"
  },
  "CAP_b4eecaff": {
   "en": "Optimal Assistance Position Selection",
   "zh": "最优辅助位置选择",
   "level": "l3"
  },
  "CAP_9ae1a94b": {
   "en": "Visual-Servoing Exposure Control",
   "zh": "视觉伺服暴露控制",
   "level": "l3"
  },
  "CAP_79cdc0f8": {
   "en": "Shared Autonomy Dissection Assistance",
   "zh": "共享自主分离辅助",
   "level": "l3"
  },
  "CAP_34ed0e73": {
   "en": "dVRK Arm Initialization",
   "zh": "dVRK 双臂初始化",
   "level": "l3"
  },
  "CAP_77c45400": {
   "en": "Stereo Endoscope Calibration",
   "zh": "立体内窥镜标定",
   "level": "l3"
  },
  "CAP_90cba178": {
   "en": "Hybrid-System Flatness Geometric Control Pipeline",
   "zh": "混合系统微分平坦几何控制管线",
   "level": "l2"
  },
  "CAP_f78e10ec": {
   "en": "Cable-Suspended Load Hybrid Dynamics Modeling",
   "zh": "悬吊负载混合动力学建模",
   "level": "l3"
  },
  "CAP_0743a7a2": {
   "en": "Hybrid-System Differential Flatness Proof",
   "zh": "混合系统微分平坦性证明",
   "level": "l3"
  },
  "CAP_8474b940": {
   "en": "SE(3)xS² Geometric Control Law",
   "zh": "SE(3)×S² 几何控制律",
   "level": "l3"
  },
  "CAP_b0048b39": {
   "en": "Offboard Thrust Dispatch",
   "zh": "Offboard 推力指令下发",
   "level": "l3"
  },
  "CAP_c11bafaf": {
   "en": "MPCC Complementarity Trajectory Optimization Pipeline",
   "zh": "MPCC 互补约束轨迹优化管线",
   "level": "l2"
  },
  "CAP_330889bf": {
   "en": "2R+1P Joint-based Cable-Payload Modeling",
   "zh": "2R+1P 关节化缆绳负载建模",
   "level": "l3"
  },
  "CAP_e17fa0c6": {
   "en": "MPCC Problem Formulation",
   "zh": "MPCC 问题构造",
   "level": "l3"
  },
  "CAP_61ee65bf": {
   "en": "Trajectory Discretization and Sampling",
   "zh": "轨迹离散与采样",
   "level": "l3"
  },
  "CAP_6b08d3d3": {
   "en": "SE3 Position Velocity Error Feedback",
   "zh": "SE(3) 位置速度误差反馈",
   "level": "l3"
  },
  "CAP_883993be": {
   "en": "Low-Pass Filtered Control Augmentation",
   "zh": "低通滤波控制增强",
   "level": "l3"
  },
  "CAP_1f1ee249": {
   "en": "Stability and Robustness Verification",
   "zh": "稳定性与鲁棒性验证",
   "level": "l3"
  },
  "CAP_152a8dc0": {
   "en": "Differential Flatness Proof for Hybrid Load-Carrying Systems",
   "zh": "混合负载系统微分平坦性证明",
   "level": "l3"
  },
  "CAP_670172d4": {
   "en": "da Vinci Teleoperated Suturing Pipeline",
   "zh": "da Vinci 遥操作缝合管线",
   "level": "l2"
  },
  "CAP_415d1b31": {
   "en": "STAR Supervised Autonomous Suturing Pipeline",
   "zh": "STAR 监督自主缝合管线",
   "level": "l2"
  },
  "CAP_daa4098c": {
   "en": "SRT End-to-End Imitation Learning Suturing Pipeline",
   "zh": "SRT 端到端模仿学习缝合管线",
   "level": "l2"
  },
  "CAP_66470c98": {
   "en": "Bimanual Master Cooperative Motion Acquisition",
   "zh": "双臂主手协同运动采集",
   "level": "l3"
  },
  "CAP_1b5c6d7e": {
   "en": "Master Forward Kinematics Solving",
   "zh": "主手正运动学求解",
   "level": "l3"
  },
  "CAP_5f90a1b2": {
   "en": "Slave Command Dispatch Interface",
   "zh": "从手指令下发接口",
   "level": "l3"
  },
  "CAP_cefb07f1": {
   "en": "Stereo Vision Guided Suturing Execution",
   "zh": "立体视觉引导缝合执行",
   "level": "l3"
  },
  "CAP_e9a74ea5": {
   "en": "3D Tissue and Needle Reconstruction",
   "zh": "组织与针 3D 重建与跟踪",
   "level": "l3"
  },
  "CAP_35f5f022": {
   "en": "Suture Point and Needle Pose Estimation",
   "zh": "缝合点与针位姿估计",
   "level": "l3"
  },
  "CAP_2f9c7fe4": {
   "en": "Supervised Learning Suturing Trajectory Generation",
   "zh": "监督学习缝合轨迹生成",
   "level": "l3"
  },
  "CAP_9863404b": {
   "en": "Autonomous Suturing Execution with Force Monitoring",
   "zh": "力感知监控自主缝合执行",
   "level": "l3"
  },
  "CAP_f012b2ac": {
   "en": "Suturing Quality Assessment",
   "zh": "缝合质量在线评估",
   "level": "l3"
  },
  "CAP_017c168f": {
   "en": "dVRK Teleoperated Suturing Demonstration Collection",
   "zh": "dVRK 遥操作缝合演示采集",
   "level": "l3"
  },
  "CAP_f0bda626": {
   "en": "Relative Action Formulation",
   "zh": "相对动作表示公式化",
   "level": "l3"
  },
  "CAP_80d02b8d": {
   "en": "Wrist Camera Integration",
   "zh": "腕部相机集成",
   "level": "l3"
  },
  "CAP_493c43fd": {
   "en": "Centralized Offboard Swarm Navigation",
   "zh": "中心化 Offboard 集群导航",
   "level": "l2"
  },
  "CAP_2fea83e1": {
   "en": "Swarm Trajectory Separation Validation",
   "zh": "集群轨迹分离校验",
   "level": "l3"
  },
  "CAP_f87bd63e": {
   "en": "Piecewise Polynomial Trajectory Upload and Synchronized Trigger",
   "zh": "分段多项式轨迹上传与同步触发",
   "level": "l3"
  },
  "CAP_9aa222e5": {
   "en": "Onboard Buffered Voronoi Cell Collision Avoidance",
   "zh": "机载缓冲 Voronoi 单元碰撞避免",
   "level": "l3"
  },
  "CAP_c5fbc408": {
   "en": "Formation Offset Trajectory Allocation",
   "zh": "编队 Offset 轨迹分配",
   "level": "l3"
  },
  "CAP_186effe5": {
   "en": "3D Velocity Obstacle Half-Space Intersection",
   "zh": "3D 速度障碍半空间求交",
   "level": "l3"
  },
  "CAP_0b11742c": {
   "en": "Neighbor State Broadcast and Perception",
   "zh": "邻居状态广播与感知",
   "level": "l3"
  },
  "CAP_987011d8": {
   "en": "Preferred Velocity Generation",
   "zh": "期望速度生成",
   "level": "l3"
  },
  "CAP_9a8def8f": {
   "en": "Multi-Robot Load-Balanced Cell Assignment",
   "zh": "多机器人负载均衡单元分配",
   "level": "l3"
  },
  "CAP_c0f32fab": {
   "en": "Emergent Dispersion Swarm Search",
   "zh": "涌现扩散群体搜索",
   "level": "l2"
  },
  "CAP_437c64c3": {
   "en": "Swarm Dispersion via Local Repulsion",
   "zh": "局部排斥群体扩散",
   "level": "l3"
  },
  "CAP_82503a5b": {
   "en": "Levy Flight Random Search",
   "zh": "莱维飞行随机搜索",
   "level": "l3"
  },
  "CAP_df39f3d7": {
   "en": "Correlated Random Walk",
   "zh": "相关随机游走",
   "level": "l3"
  },
  "CAP_4a96accf": {
   "en": "Swarm Aggregation and Recruitment",
   "zh": "群体聚合招募",
   "level": "l3"
  },
  "CAP_b9c3d3e0": {
   "en": "Statistical Coverage Assessment",
   "zh": "统计覆盖评估",
   "level": "l3"
  },
  "CAP_456de35e": {
   "en": "Target Detection Triggered Recruitment",
   "zh": "目标检测触发招募",
   "level": "l3"
  },
  "CAP_71a39995": {
   "en": "BEECLUST Aggregation",
   "zh": "BEECLUST 概率聚合行为",
   "level": "l3"
  },
  "CAP_21cb3473": {
   "en": "ARGoS Experiment Configuration",
   "zh": "ARGoS 实验配置",
   "level": "l3"
  },
  "CAP_f79ebe4b": {
   "en": "ARGoS Batch Experiment Runner",
   "zh": "ARGoS 批量实验运行",
   "level": "l3"
  },
  "CAP_915a9785": {
   "en": "Formation Pose Tracking Control",
   "zh": "编队位姿跟踪控制",
   "level": "l3"
  },
  "CAP_5ad3ef8a": {
   "en": "Differential Drive Formation Wheel Velocity Dispatch",
   "zh": "差速轮编队轮速分发",
   "level": "l3"
  },
  "CAP_c067b00d": {
   "en": "Centralized Formation Trajectory Offboard Execution",
   "zh": "中心化编队轨迹 Offboard 执行",
   "level": "l2"
  },
  "CAP_c6f4975d": {
   "en": "Virtual Leader Path Generation",
   "zh": "虚拟领航点路径生成",
   "level": "l3"
  },
  "CAP_e26f7586": {
   "en": "Heading Consensus Emergence",
   "zh": "群体取向共识涌现",
   "level": "l3"
  },
  "CAP_613cfaf6": {
   "en": "Bounded Turn Motion Execution",
   "zh": "限转角运动执行",
   "level": "l3"
  },
  "CAP_44ddab8f": {
   "en": "Group Migration Goal Reach Detection",
   "zh": "群体迁移抵达判定",
   "level": "l3"
  },
  "CAP_c9beed07": {
   "en": "Double Integrator Control Execution",
   "zh": "双积分器控制执行",
   "level": "l3"
  },
  "CAP_31329d94": {
   "en": "Local Observation Encoding for Migration",
   "zh": "迁移局部观测编码",
   "level": "l3"
  },
  "CAP_039ad5f6": {
   "en": "Migration Coverage Detection",
   "zh": "迁移覆盖抵达检测",
   "level": "l3"
  },
  "CAP_46a8adc6": {
   "en": "Neighbor Observation Building for Deployment",
   "zh": "部署时邻居观测构建",
   "level": "l3"
  },
  "CAP_1daea1a8": {
   "en": "Distributed Swarm Trajectory Optimization",
   "zh": "分布式集群轨迹优化",
   "level": "l2"
  },
  "CAP_9de1978e": {
   "en": "Local Occupancy Map Building from Depth",
   "zh": "深度感知局部占据地图构建",
   "level": "l3"
  },
  "CAP_ce151016": {
   "en": "B-spline Trajectory Initialization",
   "zh": "B-spline 轨迹初始化",
   "level": "l3"
  },
  "CAP_4d3aec5d": {
   "en": "Neighbor Trajectory Exchange",
   "zh": "邻居轨迹交换",
   "level": "l3"
  },
  "CAP_b2c648e3": {
   "en": "Async Replanning and Execution",
   "zh": "异步重规划与执行",
   "level": "l3"
  },
  "CAP_977c7f7d": {
   "en": "Swarm Size Sweep and Batch Simulation",
   "zh": "集群规模扫描与批量仿真",
   "level": "l2"
  },
  "CAP_8df97969": {
   "en": "Swarm Size Sweep Configuration",
   "zh": "集群规模扫描配置",
   "level": "l3"
  },
  "CAP_f6b3faf9": {
   "en": "SIERRA Batch Simulation Execution",
   "zh": "SIERRA批量仿真执行",
   "level": "l3"
  },
  "CAP_504db9b6": {
   "en": "Per-step Performance Collection",
   "zh": "每步性能采集",
   "level": "l3"
  },
  "CAP_665690fa": {
   "en": "Scalability Metric Computation and Insight",
   "zh": "可扩展性度量计算与洞察",
   "level": "l2"
  },
  "CAP_288f5ff4": {
   "en": "Karp-Flatt Serial Fraction Computation",
   "zh": "Karp-Flatt串行分数计算",
   "level": "l3"
  },
  "CAP_1c9b895a": {
   "en": "Self-Organization Metric Computation",
   "zh": "自组织度量计算",
   "level": "l3"
  },
  "CAP_2a05e9f9": {
   "en": "Flexibility Curve Similarity Computation",
   "zh": "灵活性曲线相似度计算",
   "level": "l3"
  },
  "CAP_7686ae58": {
   "en": "Scalability Curve Visualization",
   "zh": "可扩展性曲线可视化",
   "level": "l3"
  },
  "CAP_3bfc769b": {
   "en": "Congestion Experiment Setup and Simulation",
   "zh": "拥塞实验配置与仿真",
   "level": "l2"
  },
  "CAP_eddc9a1e": {
   "en": "ARGoS-Buzz Swarm Simulation",
   "zh": "ARGoS-Buzz集群仿真",
   "level": "l3"
  },
  "CAP_96eed195": {
   "en": "Congestion Metric Collection",
   "zh": "拥塞度量采集",
   "level": "l3"
  },
  "CAP_9e9ee57d": {
   "en": "Congestion Attribution and Degradation Comparison",
   "zh": "拥塞归因与降级对比",
   "level": "l2"
  },
  "CAP_05e643c5": {
   "en": "Movement Congestion Degradation Analysis",
   "zh": "运动拥塞降级分析",
   "level": "l3"
  },
  "CAP_55a1444e": {
   "en": "Communication Congestion Degradation Analysis",
   "zh": "通信拥塞降级分析",
   "level": "l3"
  },
  "CAP_d9bc0175": {
   "en": "Cross-Technique Congestion Comparison",
   "zh": "跨技术拥塞对比",
   "level": "l3"
  },
  "CAP_0fa58475": {
   "en": "Structural Topology Experiment and Simulation",
   "zh": "结构拓扑实验与仿真",
   "level": "l2"
  },
  "CAP_33ec55ad": {
   "en": "Control Strategy Configuration",
   "zh": "控制策略配置",
   "level": "l3"
  },
  "CAP_79ad6bc4": {
   "en": "Radiation Cleanup Simulation",
   "zh": "辐射清理任务仿真",
   "level": "l3"
  },
  "CAP_a615eaf6": {
   "en": "Structural Scalability Metric Collection",
   "zh": "结构可扩展性度量采集",
   "level": "l3"
  },
  "CAP_ff71854a": {
   "en": "Poisson Model Comparison and Causality",
   "zh": "Poisson模型对比与因果",
   "level": "l2"
  },
  "CAP_6cf12af6": {
   "en": "Poisson Germ-Grain Model Fitting",
   "zh": "Poisson germ-grain模型拟合",
   "level": "l3"
  },
  "CAP_3ce716f7": {
   "en": "Model Prediction Comparison",
   "zh": "模型预测对比",
   "level": "l3"
  },
  "CAP_a1f95a3f": {
   "en": "Structural Causality Derivation",
   "zh": "结构因果结论推导",
   "level": "l3"
  },
  "CAP_219090ee": {
   "en": "Per-Agent Deterministic Actor Network",
   "zh": "每智能体确定性执行器网络",
   "level": "l3"
  },
  "CAP_2a6c8d45": {
   "en": "Kalman State Prediction",
   "zh": "卡尔曼状态预测",
   "level": "l3"
  },
  "CAP_538a505c": {
   "en": "CI Fusion Feedback",
   "zh": "CI融合结果反馈",
   "level": "l3"
  },
  "CAP_959c76b9": {
   "en": "Centralized Critic TD-Learning with Target Networks",
   "zh": "集中式评论家 TD 学习与目标网络",
   "level": "l3"
  },
  "CAP_9c26655c": {
   "en": "Multi-Robot Stacked State Initialization",
   "zh": "多机器人堆叠状态初始化",
   "level": "l3"
  },
  "CAP_ef39963d": {
   "en": "Bandwidth-Aware Partial Consensus Fusion",
   "zh": "带宽感知部分一致性融合",
   "level": "l3"
  },
  "CAP_b2f9dd90": {
   "en": "Pursuit Reward Shaping",
   "zh": "追逃奖励函数塑造",
   "level": "l3"
  },
  "CAP_27a16126": {
   "en": "Target Encirclement Graph Communication",
   "zh": "目标围捕图通信策略",
   "level": "l3"
  },
  "CAP_0c201b0b": {
   "en": "FIM-Driven Cooperative Trajectory Optimization",
   "zh": "FIM 驱动协同航迹优化",
   "level": "l3"
  },
  "CAP_0a6eefc9": {
   "en": "Bearing-Only Distributed State Estimation",
   "zh": "方位角观测分布式状态估计",
   "level": "l3"
  },
  "CAP_90f923d6": {
   "en": "Predicted Bayesian Information Matrix Objective",
   "zh": "预测条件贝叶斯信息矩阵目标构造",
   "level": "l3"
  },
  "CAP_d45f89eb": {
   "en": "Stream Declaration Parsing",
   "zh": "Stream 声明解析",
   "level": "l3"
  },
  "CAP_ff88d0cb": {
   "en": "LGP Scene Loading",
   "zh": "LGP 场景加载",
   "level": "l3"
  },
  "CAP_a254ef39": {
   "en": "LGP Tool Instantiation",
   "zh": "LGP Tool 实例化",
   "level": "l3"
  },
  "CAP_8f1fee12": {
   "en": "Symbolic Tree Search",
   "zh": "符号树搜索",
   "level": "l3"
  },
  "CAP_40b6ffc6": {
   "en": "Ontology-Based Tool Online Recognition",
   "zh": "基于本体的工具在线识别",
   "level": "l2"
  },
  "CAP_ff367235": {
   "en": "Tool Recognition Result Serialization",
   "zh": "工具识别结果序列化",
   "level": "l3"
  },
  "CAP_03f3db27": {
   "en": "Mechanical Synchro-Drive Control Pipeline",
   "zh": "机械同步驱动底盘控制流水线",
   "level": "l2"
  },
  "CAP_1454b9c9": {
   "en": "Synchro-Drive Mechanism Parameter Loading",
   "zh": "同步转向机构参数加载",
   "level": "l3"
  },
  "CAP_756be050": {
   "en": "Odometry Systematic Error Model Initialization",
   "zh": "里程计系统误差模型初始化",
   "level": "l3"
  },
  "CAP_fc2c8580": {
   "en": "Dual Main Motor State Acquisition",
   "zh": "双主电机状态采集",
   "level": "l3"
  },
  "CAP_b26bc4bc": {
   "en": "Synchronous Constraint Mechanical Consistency Check",
   "zh": "同步约束机械一致性校验",
   "level": "l3"
  },
  "CAP_ae6bbb4f": {
   "en": "Synchro-Drive Forward Kinematics",
   "zh": "同步驱动运动学正解",
   "level": "l3"
  },
  "CAP_958af778": {
   "en": "Pose Integration and Odometry Publishing",
   "zh": "位姿积分与里程计发布",
   "level": "l3"
  },
  "CAP_ee101034": {
   "en": "Velocity to Main Motor Command Inverse Kinematics",
   "zh": "期望速度到主电机命令逆解",
   "level": "l3"
  },
  "CAP_84e877d1": {
   "en": "Dual Motor PID Closed-Loop Control",
   "zh": "双电机 PID 闭环与命令下发",
   "level": "l3"
  },
  "CAP_67fb6159": {
   "en": "UMBmark Bidirectional Square Path Execution",
   "zh": "UMBmark 双向方块路径执行",
   "level": "l3"
  },
  "CAP_33228d10": {
   "en": "Systematic Error Parameter Identification",
   "zh": "系统误差参数辨识",
   "level": "l3"
  },
  "CAP_841ebf91": {
   "en": "Electronic Coordinated Multi-Wheel Synchro-Drive Pipeline",
   "zh": "电控多轮协调同步驱动流水线",
   "level": "l2"
  },
  "CAP_37fd7755": {
   "en": "Swerve Chassis Geometry Parameter Loading",
   "zh": "舵轮底盘几何参数加载",
   "level": "l3"
  },
  "CAP_e2645e41": {
   "en": "Synchronization Master Mode Selection",
   "zh": "同步主轴选择",
   "level": "l3"
  },
  "CAP_0429fb4e": {
   "en": "Multi-Axis State Acquisition via EtherCAT PDO",
   "zh": "多轴状态采集",
   "level": "l3"
  },
  "CAP_d5117431": {
   "en": "Swerve Drive Forward Kinematics (Least Squares)",
   "zh": "四舵轮运动学正解（最小二乘）",
   "level": "l3"
  },
  "CAP_24450765": {
   "en": "Velocity to Per-Wheel Target Inverse Kinematics",
   "zh": "期望速度到各轮目标逆解",
   "level": "l3"
  },
  "CAP_2d34dda7": {
   "en": "Swerve Wheel Optimal Angle Planning",
   "zh": "舵轮最优角度规划",
   "level": "l3"
  },
  "CAP_86a6a298": {
   "en": "Multi-Axis PID Closed-Loop Control",
   "zh": "多轴 PID 闭环",
   "level": "l3"
  },
  "CAP_c6f189cf": {
   "en": "Single Wheel Fault Detection",
   "zh": "单轮故障检测",
   "level": "l3"
  },
  "CAP_a8685a28": {
   "en": "Fault Degradation and Reconstruction",
   "zh": "故障降级重构",
   "level": "l3"
  },
  "CAP_d297dc6c": {
   "en": "Synchronization Protection and Emergency Stop",
   "zh": "同步保护与急停",
   "level": "l3"
  },
  "CAP_facf283d": {
   "en": "Virtual Line-Shaft Synchronization",
   "zh": "虚拟主轴广播同步",
   "level": "l3"
  },
  "CAP_4c9aed46": {
   "en": "Gear Cam Mapping Computation",
   "zh": "齿轮比凸轮表映射计算",
   "level": "l3"
  },
  "CAP_ae450c58": {
   "en": "Cross-Coupled Multi-Axis Synchronization",
   "zh": "交叉耦合多轴同步控制",
   "level": "l3"
  },
  "CAP_bf3c9829": {
   "en": "Perception Model Training on Synthetic Data",
   "zh": "合成数据上感知模型训练",
   "level": "l3"
  },
  "CAP_55685153": {
   "en": "Constraint-Based Scene Specification",
   "zh": "约束式场景规格",
   "level": "l3"
  },
  "CAP_a6e98f2f": {
   "en": "LLM Scene Design Generation",
   "zh": "LLM 场景设计生成",
   "level": "l3"
  },
  "CAP_305a551b": {
   "en": "Text-to-Asset Retrieval",
   "zh": "文本到资产检索",
   "level": "l3"
  },
  "CAP_1e930a80": {
   "en": "Generative AI Asset and Texture Synthesis",
   "zh": "生成式 AI 资产与纹理合成",
   "level": "l3"
  },
  "CAP_a70ce70d": {
   "en": "Rigid-Body Dynamics Parameter Identification",
   "zh": "刚体动力学参数辨识",
   "level": "l2"
  },
  "CAP_22b2a72a": {
   "en": "Multi-Exporter Metrics Forwarding",
   "zh": "多导出器指标转发",
   "level": "l3"
  },
  "CAP_f421928f": {
   "en": "FSR Array Signal Acquisition and Least-Squares Calibration",
   "zh": "FSR 阵列信号采集与最小二乘标定",
   "level": "l3"
  },
  "CAP_08f9c3ad": {
   "en": "Tactile Unit DH Forward Kinematics and Contact Force Direction Identification",
   "zh": "触觉单元 D-H 正运动学建模与接触力方向识别",
   "level": "l3"
  },
  "CAP_719ab05f": {
   "en": "Modular Tactile Cell Acquisition with Foam Buffer Force Transmission Modeling",
   "zh": "模块化触觉 cell 信号采集与 foam 缓冲层力传递建模",
   "level": "l3"
  },
  "CAP_c43f75b3": {
   "en": "Distributed Bus Network Module Integration and Topology Construction",
   "zh": "分布式总线网络模块拼接与拓扑构建",
   "level": "l3"
  },
  "CAP_e19afd9f": {
   "en": "Module-Level Collision Event Detection with Wide Dynamic Range Force Estimation",
   "zh": "模块级碰撞事件检测与宽动态范围力估计",
   "level": "l3"
  },
  "CAP_aa13459b": {
   "en": "Multimodal Skin Cell Acquisition and Local Fusion Preprocessing",
   "zh": "多模态皮肤单元模块信号采集与本地融合预处理",
   "level": "l3"
  },
  "CAP_7855d1e0": {
   "en": "Self-Organizing Network Topology Discovery and Whole-Body Coverage Mapping",
   "zh": "自组织网络拓扑发现与全身覆盖映射",
   "level": "l3"
  },
  "CAP_4c1b64f7": {
   "en": "Large-Area Contact Resultant Force and Moment Estimation with Pressure Center Method",
   "zh": "大面积接触合力/合力矩估计（压力中心+几何中心方法）",
   "level": "l3"
  },
  "CAP_d54d01d0": {
   "en": "DexGrasp VLA Force Adaptive Grasping",
   "zh": "DexGrasp-VLA力自适应抓取",
   "level": "l3"
  },
  "CAP_5dfd6c14": {
   "en": "Sync RGB Tactile Labeled Data Acquisition",
   "zh": "同步 RGB 触觉采集与标签生成",
   "level": "l3"
  },
  "CAP_077ccb2f": {
   "en": "FEM Mesh Discretization and Forward Elastic Modeling",
   "zh": "FEM 网格离散与正向弹性建模",
   "level": "l3"
  },
  "CAP_44db0f72": {
   "en": "Ridge-Regularized Inverse Force Solve",
   "zh": "岭正则化逆力求解",
   "level": "l3"
  },
  "CAP_af7c32c5": {
   "en": "Dense 3D Force Distribution Assessment",
   "zh": "稠密三维力分布评估",
   "level": "l3"
  },
  "CAP_8b8e99d2": {
   "en": "Marker Detection and Grid Matching",
   "zh": "Marker 检测与网格匹配",
   "level": "l3"
  },
  "CAP_3b88a916": {
   "en": "Image-Force Paired Dataset Acquisition",
   "zh": "图像力配对数据集采集",
   "level": "l3"
  },
  "CAP_f3178845": {
   "en": "Six-DoF Force Neural Network Regression",
   "zh": "六自由度力神经网络回归",
   "level": "l3"
  },
  "CAP_1b994618": {
   "en": "Online Force Inference and Output",
   "zh": "在线力推理与输出",
   "level": "l3"
  },
  "CAP_3cd46d4c": {
   "en": "Paired Visuo Tactile Data Acquisition",
   "zh": "视触觉配对数据采集",
   "level": "l3"
  },
  "CAP_e4578c87": {
   "en": "TACTO PyBullet Simulation Environment Setup",
   "zh": "TACTO PyBullet 仿真环境配置",
   "level": "l3"
  },
  "CAP_7a01010a": {
   "en": "Contact Frame Preprocessing",
   "zh": "接触面帧预处理",
   "level": "l3"
  },
  "CAP_7a010102": {
   "en": "Tactile Marker Field Imaging",
   "zh": "触觉 Marker 场成像",
   "level": "l2"
  },
  "CAP_7a01010b": {
   "en": "Marker Grid Detection",
   "zh": "Marker 网格检测",
   "level": "l3"
  },
  "CAP_7a010103": {
   "en": "Visualized Tactile Surface Output",
   "zh": "视觉化触觉表面输出",
   "level": "l2"
  },
  "CAP_7a01010c": {
   "en": "Depth Map Point Cloud Rendering",
   "zh": "深度图点云渲染",
   "level": "l3"
  },
  "CAP_7a01010d": {
   "en": "Contact Surface Visualization Output",
   "zh": "接触面视觉化输出",
   "level": "l3"
  },
  "CAP_7a010105": {
   "en": "Synchronized Scene Tactile Rendering",
   "zh": "同步场景触觉渲染",
   "level": "l2"
  },
  "CAP_7a01010e": {
   "en": "Pose Synchronization for Rendering",
   "zh": "渲染位姿同步",
   "level": "l3"
  },
  "CAP_0d0022eb": {
   "en": "Multi Modal Observation Rendering",
   "zh": "多模态观测渲染",
   "level": "l3"
  },
  "CAP_7a01010f": {
   "en": "Synthetic Tactile Image Pair Extraction",
   "zh": "合成触觉图像对提取",
   "level": "l3"
  },
  "CAP_7a010108": {
   "en": "Cross-Modal Generative Model Training",
   "zh": "跨模态生成模型训练",
   "level": "l2"
  },
  "CAP_271376cf": {
   "en": "VisGel Visual Encoder",
   "zh": "VisGel 视觉编码器",
   "level": "l3"
  },
  "CAP_7a010110": {
   "en": "Conditional GAN Adversarial Training",
   "zh": "条件 GAN 对抗训练",
   "level": "l3"
  },
  "CAP_7a010109": {
   "en": "Cross-Modal Tactile Image Generation",
   "zh": "跨模态触觉图像生成",
   "level": "l2"
  },
  "CAP_b877dd35": {
   "en": "Compute End-Effector Cartesian Velocity",
   "zh": "末端笛卡尔速度计算",
   "level": "l3"
  },
  "CAP_de08eb09": {
   "en": "Tactile Force-Map Inference",
   "zh": "触觉力图推断",
   "level": "l2"
  },
  "CAP_08ebf482": {
   "en": "Form Measurement Vector",
   "zh": "9 维测量向量组装",
   "level": "l3"
  },
  "CAP_f29916ca": {
   "en": "LSTM Force-Map Estimation",
   "zh": "LSTM 力图估计",
   "level": "l3"
  },
  "CAP_806bde90": {
   "en": "Contact Gating for Force-Map",
   "zh": "力图接触门控",
   "level": "l3"
  },
  "CAP_3e5ef4da": {
   "en": "Compliant Dressing Control",
   "zh": "柔顺穿衣控制",
   "level": "l2"
  },
  "CAP_4e3c4124": {
   "en": "Adaptive Velocity via Admittance",
   "zh": "导纳自适应速度",
   "level": "l3"
  },
  "CAP_f1e2a5d5": {
   "en": "Compliant Dressing Motion Execution",
   "zh": "柔顺穿衣运动执行",
   "level": "l3"
  },
  "CAP_7c5a6ac6": {
   "en": "Distributed Tactile Skin Acquisition",
   "zh": "分布式触觉皮肤采集",
   "level": "l2"
  },
  "CAP_31984be4": {
   "en": "Read Taxel Array via Arduino",
   "zh": "Arduino 读取 taxel 阵列",
   "level": "l3"
  },
  "CAP_9d8696a9": {
   "en": "Fast-Path Taxel Publishing",
   "zh": "taxel 数据高速转发",
   "level": "l3"
  },
  "CAP_d0fc8621": {
   "en": "Per-Taxel Calibration",
   "zh": "逐 taxel 标定",
   "level": "l2"
  },
  "CAP_6f779831": {
   "en": "Intruder-Based Per-Taxel Data Collection",
   "zh": "intruder 逐 taxel 数据采集",
   "level": "l3"
  },
  "CAP_ab8c0f50": {
   "en": "Fit Calibration Model",
   "zh": "标定模型拟合",
   "level": "l3"
  },
  "CAP_a433d8b2": {
   "en": "Apply Calibration in Real Time",
   "zh": "实时标定推理",
   "level": "l3"
  },
  "CAP_aa246280": {
   "en": "HRI Visualization and User Study",
   "zh": "HRI 可视化与用户研究",
   "level": "l2"
  },
  "CAP_d309a82b": {
   "en": "Generate Robot Taxel Configuration",
   "zh": "生成 taxel 几何配置",
   "level": "l3"
  },
  "CAP_f8b4f5ba": {
   "en": "Visualize Taxel Forces in RViz",
   "zh": "RViz taxel 力可视化",
   "level": "l3"
  },
  "CAP_495afe80": {
   "en": "Handshake Initialization",
   "zh": "握手初始化",
   "level": "l2"
  },
  "CAP_07996e9e": {
   "en": "Calibrate Starting Closure Position q0",
   "zh": "起始闭合位置 q0 标定",
   "level": "l3"
  },
  "CAP_f0ee5f37": {
   "en": "Initialize SoftHand Position Control",
   "zh": "SoftHand 位置控制初始化",
   "level": "l3"
  },
  "CAP_3360f578": {
   "en": "FSR-Based Contact Sensing",
   "zh": "FSR 接触感知",
   "level": "l2"
  },
  "CAP_5cb01a13": {
   "en": "Read FSR Values via Arduino",
   "zh": "Arduino 读取 FSR",
   "level": "l3"
  },
  "CAP_56b9b1a1": {
   "en": "Delay FSR Signal for Phase Compensation",
   "zh": "FSR 信号延迟补偿",
   "level": "l3"
  },
  "CAP_06839717": {
   "en": "Closed-Loop Handshake Control",
   "zh": "闭环握手控制",
   "level": "l2"
  },
  "CAP_dd3d5349": {
   "en": "Select and Run Handshake Controller",
   "zh": "握手控制器选择与运行",
   "level": "l3"
  },
  "CAP_bf86cefe": {
   "en": "Execute SoftHand Closure Motion",
   "zh": "SoftHand 闭合运动执行",
   "level": "l3"
  },
  "CAP_23038f2b": {
   "en": "Handshake Data Recording and Analysis",
   "zh": "握手数据记录与分析",
   "level": "l2"
  },
  "CAP_e2b58ca2": {
   "en": "Save Experiment Data",
   "zh": "实验数据保存",
   "level": "l3"
  },
  "CAP_4f7da523": {
   "en": "Plot FSR Signals for Analysis",
   "zh": "FSR 信号分析绘图",
   "level": "l3"
  },
  "CAP_f470c7c4": {
   "en": "Standardized Block Tactile Data Collection Pipeline",
   "zh": "标准化方块触觉数据采集管线",
   "level": "l3"
  },
  "CAP_e9bc82b4": {
   "en": "Optical Tactile Texture Deep Encoding",
   "zh": "光学触觉纹理深度编码",
   "level": "l2"
  },
  "CAP_89aeef1f": {
   "en": "Optical Tactile Material Linear Classifier Head",
   "zh": "光学触觉材质线性分类头",
   "level": "l3"
  },
  "CAP_81c97cc1": {
   "en": "Tactile Temporal Feature Encoding",
   "zh": "触觉时序特征编码",
   "level": "l2"
  },
  "CAP_f6653eb4": {
   "en": "Tactile Temporal CNN Encoding",
   "zh": "触觉时序 CNN 编码",
   "level": "l3"
  },
  "CAP_d443114e": {
   "en": "Tactile Temporal Material Classifier",
   "zh": "触觉时序材质分类器",
   "level": "l3"
  },
  "CAP_a4844652": {
   "en": "Exploratory Procedure Sequence Execution",
   "zh": "探索程序序列执行",
   "level": "l3"
  },
  "CAP_b87f45f1": {
   "en": "Tactile Physics Descriptor Extraction",
   "zh": "触觉物理描述子抽取",
   "level": "l2"
  },
  "CAP_4ae79def": {
   "en": "Surface Roughness Descriptor Computation",
   "zh": "表面粗糙度描述子计算",
   "level": "l3"
  },
  "CAP_f25f5504": {
   "en": "Physics Feature Classical ML Classifier",
   "zh": "物理特征经典 ML 分类器",
   "level": "l3"
  },
  "CAP_3de580d3": {
   "en": "Cross-Modal Tactile Object Retrieval",
   "zh": "跨模态触觉物体检索",
   "level": "l2"
  },
  "CAP_ddd3b104": {
   "en": "Tactile Contact Image Capture",
   "zh": "触觉接触图像采集",
   "level": "l3"
  },
  "CAP_b69185c1": {
   "en": "Cross-Sensory Embedding Alignment",
   "zh": "跨感官嵌入对齐",
   "level": "l3"
  },
  "CAP_ba76e6ae": {
   "en": "Tactile Query Cross-Sensory Retrieval",
   "zh": "触觉查询跨感官检索",
   "level": "l3"
  },
  "CAP_8b338909": {
   "en": "Object Identity Output",
   "zh": "物体身份输出",
   "level": "l3"
  },
  "CAP_bed95e73": {
   "en": "Tactile Category Decision",
   "zh": "触觉类别决策",
   "level": "l3"
  },
  "CAP_5d31f86c": {
   "en": "Tactile Point Cloud Coordinate Transform",
   "zh": "触觉点云坐标变换",
   "level": "l3"
  },
  "CAP_9ca13492": {
   "en": "CAD Model Library ICP Matching",
   "zh": "CAD 模型库 ICP 匹配",
   "level": "l3"
  },
  "CAP_ada6d156": {
   "en": "Vision-Based Optical Tactile Processing",
   "zh": "视觉光学触觉图像处理",
   "level": "l2"
  },
  "CAP_c282fa89": {
   "en": "BioTac Hardware Configuration",
   "zh": "BioTac 硬件配置",
   "level": "l3"
  },
  "CAP_b175c11d": {
   "en": "BioTac Multimodal Feature Extraction",
   "zh": "BioTac 多模态特征提取",
   "level": "l3"
  },
  "CAP_8a39ec14": {
   "en": "BioTac Multimodal Tactile Vector Output",
   "zh": "BioTac 多模态触觉向量输出",
   "level": "l3"
  },
  "CAP_f3be297c": {
   "en": "FT Contact State Vector Output",
   "zh": "F/T 接触状态向量输出",
   "level": "l3"
  },
  "CAP_4b62ff5b": {
   "en": "TACTO Scene Setup and Sensor Configuration",
   "zh": "TACTO 场景搭建与传感器配置",
   "level": "l2"
  },
  "CAP_2f95d5f7": {
   "en": "TACTO Tactile Image Generation",
   "zh": "TACTO 触觉图像生成",
   "level": "l2"
  },
  "CAP_bbaf66bb": {
   "en": "PyBullet Scene and DIGIT URDF Setup",
   "zh": "PyBullet 场景与 DIGIT URDF 加载",
   "level": "l3"
  },
  "CAP_9e917dc4": {
   "en": "TACTO Sensor Renderer Configuration",
   "zh": "TACTO Sensor 渲染器配置",
   "level": "l3"
  },
  "CAP_157debd8": {
   "en": "Sensor Camera and Object Registration",
   "zh": "传感器相机与可接触物体注册",
   "level": "l3"
  },
  "CAP_9c37a4b2": {
   "en": "TACTO Tactile Image Rendering",
   "zh": "TACTO 触觉图像渲染",
   "level": "l3"
  },
  "CAP_2dacfd76": {
   "en": "Shadow Rendering and Headless Mode",
   "zh": "阴影渲染与无头模式配置",
   "level": "l3"
  },
  "CAP_319825e9": {
   "en": "FOTS Offline Calibration",
   "zh": "FOTS 离线标定",
   "level": "l2"
  },
  "CAP_92d04fb1": {
   "en": "FOTS Online Rendering and Validation",
   "zh": "FOTS 在线渲染与验证",
   "level": "l2"
  },
  "CAP_9c2ce7b7": {
   "en": "MLP Optical Response Calibration",
   "zh": "MLP 光学响应标定训练",
   "level": "l3"
  },
  "CAP_0cfd462e": {
   "en": "Shadow and Marker Flow Calibration",
   "zh": "阴影标定与 marker flow 标定",
   "level": "l3"
  },
  "CAP_f140402e": {
   "en": "FOTS-MuJoCo Integration and Tactile Image Rendering",
   "zh": "FOTS-MuJoCo 集成与触觉图像渲染",
   "level": "l3"
  },
  "CAP_5cddd97f": {
   "en": "Sim2Real Tactile Image Validation",
   "zh": "Sim2Real 触觉图像验证",
   "level": "l3"
  },
  "CAP_d9813567": {
   "en": "Tacchi Object Digitization and Solver Setup",
   "zh": "Tacchi 物体数字化与求解器配置",
   "level": "l2"
  },
  "CAP_e38b7606": {
   "en": "Tacchi Coupled Deformation Simulation and Validation",
   "zh": "Tacchi 联合形变仿真与验证",
   "level": "l2"
  },
  "CAP_1e3e588b": {
   "en": "Object STL to MPM Particle Conversion",
   "zh": "物体 STL 到 MPM 粒子 npy 转换",
   "level": "l3"
  },
  "CAP_eea5e286": {
   "en": "Tacchi-MuJoCo/Gazebo Bridge",
   "zh": "Tacchi-MuJoCo/Gazebo 连接仿真桥接",
   "level": "l3"
  },
  "CAP_f1357474": {
   "en": "DiffTactile Model Initialization",
   "zh": "DiffTactile 模型初始化",
   "level": "l2"
  },
  "CAP_6a64e768": {
   "en": "DiffTactile Differentiable Simulation and Rendering",
   "zh": "DiffTactile 可微仿真与渲染",
   "level": "l2"
  },
  "CAP_850f2201": {
   "en": "DiffTactile Optimization and Learning",
   "zh": "DiffTactile 优化与学习",
   "level": "l2"
  },
  "CAP_923d35f0": {
   "en": "Multi-material Object Model Configuration",
   "zh": "多材质物体模型配置",
   "level": "l3"
  },
  "CAP_4b05396f": {
   "en": "GelSight Marker-Displacement Slip Phase 1",
   "zh": "GelSight位移场滑移·阶段1",
   "level": "l2"
  },
  "CAP_e571e334": {
   "en": "GelSight Marker-Displacement Slip Phase 2",
   "zh": "GelSight位移场滑移·阶段2",
   "level": "l2"
  },
  "CAP_45c348d7": {
   "en": "GelSight Marker-Displacement Slip Phase 3",
   "zh": "GelSight位移场滑移·阶段3",
   "level": "l2"
  },
  "CAP_c0b5579d": {
   "en": "GelSight Marker-Displacement Slip Phase 4",
   "zh": "GelSight位移场滑移·阶段4",
   "level": "l2"
  },
  "CAP_3cd703a0": {
   "en": "Vibration-Spectral Slip Phase 1",
   "zh": "振动频谱滑移·阶段1",
   "level": "l2"
  },
  "CAP_36581f3e": {
   "en": "Vibration-Spectral Slip Phase 2",
   "zh": "振动频谱滑移·阶段2",
   "level": "l2"
  },
  "CAP_2248cd89": {
   "en": "Vibration-Spectral Slip Phase 3",
   "zh": "振动频谱滑移·阶段3",
   "level": "l2"
  },
  "CAP_055b526b": {
   "en": "Vibration-Spectral Slip Phase 4",
   "zh": "振动频谱滑移·阶段4",
   "level": "l2"
  },
  "CAP_9e730f9b": {
   "en": "Force-Ratio Coulomb Slip Phase 1",
   "zh": "力比Coulomb滑移·阶段1",
   "level": "l2"
  },
  "CAP_c02bc403": {
   "en": "Force-Ratio Coulomb Slip Phase 2",
   "zh": "力比Coulomb滑移·阶段2",
   "level": "l2"
  },
  "CAP_754400da": {
   "en": "Force-Ratio Coulomb Slip Phase 3",
   "zh": "力比Coulomb滑移·阶段3",
   "level": "l2"
  },
  "CAP_4fa90116": {
   "en": "Force-Ratio Coulomb Slip Phase 4",
   "zh": "力比Coulomb滑移·阶段4",
   "level": "l2"
  },
  "CAP_5e6f7081": {
   "en": "Slip Signal Publication",
   "zh": "滑移信号发布",
   "level": "l3"
  },
  "CAP_a76f61bf": {
   "en": "Displacement Field Statistics",
   "zh": "位移场统计量计算",
   "level": "l3"
  },
  "CAP_6f708192": {
   "en": "Spectral Slip Event Classifier",
   "zh": "频谱滑移事件分类器",
   "level": "l3"
  },
  "CAP_60aa1b93": {
   "en": "High-Frequency Vibration Sensor Configuration",
   "zh": "高频振动传感器配置",
   "level": "l3"
  },
  "CAP_f948f49e": {
   "en": "Vibration Signal Acquisition",
   "zh": "振动信号采集",
   "level": "l3"
  },
  "CAP_7e973617": {
   "en": "Zero-Vibration Baseline Calibration",
   "zh": "无振动基准标定",
   "level": "l3"
  },
  "CAP_38d68bc8": {
   "en": "Auxiliary Time-Domain Feature Extraction",
   "zh": "辅助时域特征提取",
   "level": "l3"
  },
  "CAP_bf47624c": {
   "en": "Anti-Interference Vibration Filtering",
   "zh": "抗干扰振动滤波",
   "level": "l3"
  },
  "CAP_949e2c42": {
   "en": "Vibration Slip Status Publishing",
   "zh": "振动滑移状态发布",
   "level": "l3"
  },
  "CAP_d67b16a6": {
   "en": "Hysteresis Filtering for Force Ratio",
   "zh": "力比迟滞滤波",
   "level": "l3"
  },
  "CAP_3ad05a09": {
   "en": "Visuo-Tactile Learned Slip Phase 1",
   "zh": "视触觉学习型滑移·阶段1",
   "level": "l2"
  },
  "CAP_0f7c0213": {
   "en": "Visuo-Tactile Learned Slip Phase 2",
   "zh": "视触觉学习型滑移·阶段2",
   "level": "l2"
  },
  "CAP_68c7e5ac": {
   "en": "Visuo-Tactile Learned Slip Phase 3",
   "zh": "视触觉学习型滑移·阶段3",
   "level": "l2"
  },
  "CAP_db9627b4": {
   "en": "Visuo-Tactile Learned Slip Phase 4",
   "zh": "视触觉学习型滑移·阶段4",
   "level": "l2"
  },
  "CAP_2a6f704e": {
   "en": "Multi Modal Fusion Classification Head",
   "zh": "多模态融合与分类头",
   "level": "l3"
  },
  "CAP_708192a3": {
   "en": "CNN Slip Classifier",
   "zh": "CNN 滑移分类器",
   "level": "l3"
  },
  "CAP_7522e840": {
   "en": "Temporal Feature Modeling",
   "zh": "时序特征建模",
   "level": "l3"
  },
  "CAP_4865d430": {
   "en": "Slip Confidence Calibration",
   "zh": "滑移置信度校准",
   "level": "l3"
  },
  "CAP_6cb67ae1": {
   "en": "Learned Slip Status Publishing",
   "zh": "学习型滑移状态发布",
   "level": "l3"
  },
  "CAP_e068549a": {
   "en": "Active Bayesian Texture Classification",
   "zh": "主动贝叶斯纹理分类",
   "level": "l2"
  },
  "CAP_7c4b28f3": {
   "en": "Vibrotactile Spectral Feature Extraction",
   "zh": "振动触觉频域特征提取",
   "level": "l3"
  },
  "CAP_9c03c90b": {
   "en": "Tactile Texture Prior Modeling",
   "zh": "触觉纹理先验分布建模",
   "level": "l3"
  },
  "CAP_98182343": {
   "en": "Tactile Image Photometric Preprocessing",
   "zh": "触觉图像光度立体预处理",
   "level": "l3"
  },
  "CAP_6b27de4e": {
   "en": "Supervised Tactile Texture Classification",
   "zh": "监督触觉纹理分类",
   "level": "l2"
  },
  "CAP_a56ae94a": {
   "en": "TACTO Tactile Image Augmentation",
   "zh": "TACTO 触觉图像仿真增广",
   "level": "l3"
  },
  "CAP_9b780f77": {
   "en": "Tactile Texture Classification Head",
   "zh": "触觉纹理分类头训练",
   "level": "l3"
  },
  "CAP_f2c6cfe9": {
   "en": "Closed Set Texture Inference",
   "zh": "封闭集纹理推理",
   "level": "l3"
  },
  "CAP_2518dc8a": {
   "en": "Cross Modal Tactile Encoding",
   "zh": "跨模态触觉编码",
   "level": "l2"
  },
  "CAP_5c94218f": {
   "en": "Language Driven Zero Shot Texture Classification",
   "zh": "语言驱动零样本纹理分类",
   "level": "l2"
  },
  "CAP_0a237876": {
   "en": "Texture Language Prompt Encoding",
   "zh": "纹理语言提示编码",
   "level": "l3"
  },
  "CAP_afaae47e": {
   "en": "Tactile Text Similarity Matching",
   "zh": "触觉文本相似度匹配",
   "level": "l3"
  },
  "CAP_0ca332ed": {
   "en": "Certified Fact Caching",
   "zh": "认证事实缓存",
   "level": "l3"
  },
  "CAP_8c134fb3": {
   "en": "Policy Guided Lazy Evaluation",
   "zh": "策略引导惰性求值",
   "level": "l3"
  },
  "CAP_142f6e8c": {
   "en": "Foliated Roadmap Experience Reuse",
   "zh": "叶层路图经验复用",
   "level": "l2"
  },
  "CAP_a48b5710": {
   "en": "Foliated Manifold Decomposition",
   "zh": "叶层流形分解",
   "level": "l3"
  },
  "CAP_7301a18d": {
   "en": "Roadmap Construction Per Foliation",
   "zh": "逐叶层路图构造",
   "level": "l3"
  },
  "CAP_af1f4de8": {
   "en": "Cross Query Graph Retrieval",
   "zh": "跨查询图检索",
   "level": "l3"
  },
  "CAP_1c85170f": {
   "en": "Learned Experience Sampling Retrieval",
   "zh": "学习型经验采样检索",
   "level": "l2"
  },
  "CAP_59f477e8": {
   "en": "Local Sampler Training",
   "zh": "局部采样器训练",
   "level": "l3"
  },
  "CAP_2af8b542": {
   "en": "Global Sampler Composition",
   "zh": "全局采样器合成",
   "level": "l3"
  },
  "CAP_dc57cf7d": {
   "en": "Single Experience Decomposition",
   "zh": "单经验分解复用",
   "level": "l3"
  },
  "CAP_052f103b": {
   "en": "Learned Task Backjumping",
   "zh": "学习型任务级回跳",
   "level": "l2"
  },
  "CAP_97a4348d": {
   "en": "Dead End Experience Collection",
   "zh": "死端经验收集",
   "level": "l3"
  },
  "CAP_9d62bbd7": {
   "en": "Culprit Action Classifier",
   "zh": "罪魁动作分类器",
   "level": "l3"
  },
  "CAP_ddac0ce8": {
   "en": "Backjump Guidance",
   "zh": "回跳引导",
   "level": "l3"
  },
  "CAP_82f172b7": {
   "en": "Latent Object State Encoding",
   "zh": "潜状态编码",
   "level": "l3"
  },
  "CAP_9fb06715": {
   "en": "Learned Sampler Stream Injection",
   "zh": "学习采样器流注入",
   "level": "l3"
  },
  "CAP_af04f5f1": {
   "en": "Open-Vocabulary 2D Visual Grounding Pipeline",
   "zh": "开放词表 2D 视觉接地管线",
   "level": "l2"
  },
  "CAP_2d7906d1": {
   "en": "Text Prompt Normalization for Grounding Detection",
   "zh": "接地检测文本提示归一化",
   "level": "l3"
  },
  "CAP_c91f0db9": {
   "en": "Box and Text Score Double-Threshold Filtering",
   "zh": "框文本双阈值过滤",
   "level": "l3"
  },
  "CAP_cfc7b104": {
   "en": "Target 6-DoF Pose Estimation from Point Cloud",
   "zh": "点云目标 6 自由度位姿估计",
   "level": "l3"
  },
  "CAP_0d16f252": {
   "en": "Target Object Specification Packaging",
   "zh": "目标物体规格封装",
   "level": "l3"
  },
  "CAP_ea185976": {
   "en": "Cross-Modal Matching Score and 3D BBox Regression",
   "zh": "跨模态匹配打分与 3D 框回归",
   "level": "l3"
  },
  "CAP_80e0bc35": {
   "en": "Target Object Node Identification in Scene Graph",
   "zh": "场景图目标物体节点识别",
   "level": "l3"
  },
  "CAP_f7bcdd8b": {
   "en": "End-to-End Language-Conditioned Imitation Policy",
   "zh": "端到端语言条件模仿学习策略",
   "level": "l2"
  },
  "CAP_72665554": {
   "en": "RGB-D Top-Down Observation Encoding",
   "zh": "RGB-D 顶视观测编码",
   "level": "l3"
  },
  "CAP_430dc154": {
   "en": "Language-Conditioned Pick-and-Place Action Output",
   "zh": "语言条件抓取动作输出",
   "level": "l3"
  },
  "CAP_f6812457": {
   "en": "CBBA Bundle Consensus Execution",
   "zh": "CBBA 捆包共识执行",
   "level": "l2"
  },
  "CAP_cc67e390": {
   "en": "Auction-Based Dynamic Reallocation",
   "zh": "拍卖式动态重分配",
   "level": "l3"
  },
  "CAP_7798e6f7": {
   "en": "IP Formulation Solve Orchestrator",
   "zh": "IP 形式化求解编排",
   "level": "l2"
  },
  "CAP_a02742e7": {
   "en": "MARL Policy Training Orchestrator",
   "zh": "MARL 策略训练编排",
   "level": "l2"
  },
  "CAP_19542673": {
   "en": "MARL Evaluation Orchestrator",
   "zh": "MARL 评测编排",
   "level": "l2"
  },
  "CAP_b677b84d": {
   "en": "MARL Allocation Benchmarking",
   "zh": "MARL 分配基准评测",
   "level": "l3"
  },
  "CAP_b9fff71f": {
   "en": "Boundary Probability Thresholding",
   "zh": "边界概率阈值判定",
   "level": "l3"
  },
  "CAP_eca506ed": {
   "en": "Streaming Feature Extraction (Sliding Window)",
   "zh": "滑动窗口流式特征提取",
   "level": "l3"
  },
  "CAP_cc80bf2a": {
   "en": "Boundary Event Dispatch",
   "zh": "边界事件分发",
   "level": "l3"
  },
  "CAP_086644d6": {
   "en": "SPC Drift Boundary Detection",
   "zh": "统计过程控制漂移边界检测",
   "level": "l2"
  },
  "CAP_c34beae0": {
   "en": "ADWIN Adaptive Window Detection",
   "zh": "ADWIN自适应窗口漂移检测",
   "level": "l3"
  },
  "CAP_974301f4": {
   "en": "Page-Hinkley CUSUM Detection",
   "zh": "Page-Hinkley累积和漂移检测",
   "level": "l3"
  },
  "CAP_a826b7cd": {
   "en": "Prediction Loss Streaming",
   "zh": "预测损失流式采集",
   "level": "l3"
  },
  "CAP_6a119c1a": {
   "en": "Drift Score Thresholding",
   "zh": "漂移评分阈值判定",
   "level": "l3"
  },
  "CAP_cd72436d": {
   "en": "Gradient-based Importance Change Detection",
   "zh": "梯度重要性变化检测",
   "level": "l2"
  },
  "CAP_1be9f761": {
   "en": "Importance Distribution Change Detection",
   "zh": "重要性分布变化检测",
   "level": "l3"
  },
  "CAP_3be2a98e": {
   "en": "Boundary Event Judgment with Debounce",
   "zh": "边界事件判定与防抖",
   "level": "l3"
  },
  "CAP_613db3ed": {
   "en": "NASA-TLX WWL Score Computation",
   "zh": "NASA-TLX 综合负荷分计算",
   "level": "l2"
  },
  "CAP_e047d883": {
   "en": "Weighted Workload Calculation (NASA-TLX)",
   "zh": "NASA-TLX 加权综合负荷分计算",
   "level": "l3"
  },
  "CAP_74d2c1b4": {
   "en": "Cognitive Load Level Mapping (NASA-TLX)",
   "zh": "认知负荷复杂度等级映射",
   "level": "l3"
  },
  "CAP_43b9c49d": {
   "en": "Structural Complexity Scoring",
   "zh": "结构复杂度计算与评分",
   "level": "l2"
  },
  "CAP_374edc8f": {
   "en": "Graph Complexity Metrics (HTN)",
   "zh": "结构复杂度指标计算",
   "level": "l3"
  },
  "CAP_f7067da8": {
   "en": "Complexity Score Fusion (Structural)",
   "zh": "结构复杂度综合评分",
   "level": "l3"
  },
  "CAP_a4078a9b": {
   "en": "Complexity Rubric Construction",
   "zh": "复杂度评分 rubric 构造",
   "level": "l3"
  },
  "CAP_45989b55": {
   "en": "Score Calibration (Benchmark)",
   "zh": "评分校准与基准对齐",
   "level": "l3"
  },
  "CAP_7691c84a": {
   "en": "State Space Analysis (PDDL)",
   "zh": "状态空间与动作空间分析",
   "level": "l2"
  },
  "CAP_9acc54f4": {
   "en": "State Space Estimation (PDDL)",
   "zh": "状态空间规模估计",
   "level": "l3"
  },
  "CAP_2d01425a": {
   "en": "Action Space Enumeration (PDDL)",
   "zh": "动作空间枚举",
   "level": "l3"
  },
  "CAP_3b661aeb": {
   "en": "Search Complexity Estimation",
   "zh": "搜索复杂度估计与评级",
   "level": "l2"
  },
  "CAP_ae7d3805": {
   "en": "Branching Factor Estimation (PDDL)",
   "zh": "分支因子与解深度估计",
   "level": "l3"
  },
  "CAP_df41affd": {
   "en": "Search Space Computation (PDDL)",
   "zh": "搜索空间规模计算",
   "level": "l3"
  },
  "CAP_5efdd1e1": {
   "en": "Perceiver Cross Attention Lang",
   "zh": "Perceiver 语言交叉注意力融合",
   "level": "l3"
  },
  "CAP_c83270a1": {
   "en": "Multitask Val Test Checkpoint",
   "zh": "多任务验证测试最佳 checkpoint 选择",
   "level": "l3"
  },
  "CAP_879fac34": {
   "en": "Task Embedding Lookup",
   "zh": "任务嵌入查找表构造",
   "level": "l3"
  },
  "CAP_72954371": {
   "en": "Multitask Offline RL Training",
   "zh": "多任务离线 RL 训练",
   "level": "l3"
  },
  "CAP_425da6ad": {
   "en": "Per Task Eval Normalized Score",
   "zh": "多任务逐任务归一化评分",
   "level": "l3"
  },
  "CAP_427b2a4f": {
   "en": "Goal-Visual Alignment",
   "zh": "目标视觉对齐",
   "level": "l3"
  },
  "CAP_b600ee62": {
   "en": "Visual Text Token Concatenation",
   "zh": "视觉文本token拼接",
   "level": "l3"
  },
  "CAP_f15abee5": {
   "en": "Language Action Conditioned Reasoning",
   "zh": "语言动作条件推理",
   "level": "l3"
  },
  "CAP_b969cc91": {
   "en": "Language-Annotated Demonstration Generation",
   "zh": "语言标注演示生成",
   "level": "l3"
  },
  "CAP_d0ee48da": {
   "en": "Weighted Loss Aggregation and Backward",
   "zh": "加权损失聚合与反向传播",
   "level": "l3"
  },
  "CAP_1139539d": {
   "en": "RLW Dirichlet Random Weighting",
   "zh": "RLW Dirichlet随机加权",
   "level": "l3"
  },
  "CAP_c39aac3f": {
   "en": "Joint Pareto Descent Update",
   "zh": "Pareto 下降联合更新",
   "level": "l3"
  },
  "CAP_22f5c8c8": {
   "en": "TSR Chain Definition",
   "zh": "TSR 链定义",
   "level": "l3"
  },
  "CAP_c5a9e218": {
   "en": "IK Projection Sampling",
   "zh": "IK 投影采样",
   "level": "l3"
  },
  "CAP_5337ff21": {
   "en": "Constrained Path Shortcut",
   "zh": "约束路径平滑",
   "level": "l3"
  },
  "CAP_ba944786": {
   "en": "Kinematic Path Constraint Planning (MoveIt2-based)",
   "zh": "运动学路径约束规划（基于 MoveIt2）",
   "level": "l2"
  },
  "CAP_3a8381d2": {
   "en": "Path Constraint Message Construction",
   "zh": "路径约束消息构造",
   "level": "l3"
  },
  "CAP_1e7f1094": {
   "en": "Constraint Sampler Selection",
   "zh": "约束采样器选择",
   "level": "l3"
  },
  "CAP_f7395cb6": {
   "en": "Path Constraint Validation",
   "zh": "路径约束验证",
   "level": "l3"
  },
  "CAP_6e97afc8": {
   "en": "Task-Space Constrained Trajectory Optimization (ReKep-style)",
   "zh": "任务空间约束轨迹优化（ReKep 范式）",
   "level": "l2"
  },
  "CAP_1d6d48c5": {
   "en": "Capability-Aware Precondition Authoring",
   "zh": "能力感知前置条件编写",
   "level": "l3"
  },
  "CAP_cd4d630d": {
   "en": "Active Scene Description Feedback Via VQA",
   "zh": "VQA 主动场景描述反馈",
   "level": "l3"
  },
  "CAP_61c44fc0": {
   "en": "ECoT Conditioned Action Prediction",
   "zh": "ECoT 条件化动作预测",
   "level": "l3"
  },
  "CAP_afb58d3e": {
   "en": "Constraint Violation Detection and Safety Deployment",
   "zh": "约束违反检测与安全部署",
   "level": "l2"
  },
  "CAP_a71383b2": {
   "en": "Real-Time Cognitive Load Acquisition",
   "zh": "实时认知负荷信号采集",
   "level": "l3"
  },
  "CAP_120e73af": {
   "en": "Load-to-Difficulty Target Mapping",
   "zh": "负荷到难度目标映射",
   "level": "l2"
  },
  "CAP_6485f2b0": {
   "en": "Load Threshold Gate",
   "zh": "负荷阈值门控",
   "level": "l3"
  },
  "CAP_cc2d9ec8": {
   "en": "Difficulty Escalation",
   "zh": "难度提升",
   "level": "l3"
  },
  "CAP_475ad4c2": {
   "en": "Difficulty Reduction",
   "zh": "难度降低",
   "level": "l3"
  },
  "CAP_c332b4b5": {
   "en": "Difficulty Hold",
   "zh": "难度维持",
   "level": "l3"
  },
  "CAP_c5a464cf": {
   "en": "Target Difficulty Commit",
   "zh": "目标难度提交",
   "level": "l3"
  },
  "CAP_c25ce3fc": {
   "en": "Difficulty Parameter Instantiation and Update",
   "zh": "难度参数实例化与更新",
   "level": "l2"
  },
  "CAP_22eb2697": {
   "en": "Continuous Parameter Instantiation",
   "zh": "连续参数实例化",
   "level": "l3"
  },
  "CAP_97ea9e16": {
   "en": "Hysteresis-Bounded Update Control",
   "zh": "滞回有界更新控制",
   "level": "l3"
  },
  "CAP_7ffe7976": {
   "en": "Personalized Difficulty Tagging",
   "zh": "个性化难度标注",
   "level": "l3"
  },
  "CAP_bb2c2ab7": {
   "en": "Next-Task Selection Policy",
   "zh": "下一任务选择策略",
   "level": "l2"
  },
  "CAP_73b1c024": {
   "en": "Mastery and Difficulty Estimate Update",
   "zh": "掌握度与难度估计更新",
   "level": "l3"
  },
  "CAP_934aaec7": {
   "en": "Performance Threshold Computation",
   "zh": "绩效阈值计算",
   "level": "l3"
  },
  "CAP_61c2041b": {
   "en": "Difficulty Level Transition Decision",
   "zh": "难度等级转换决策",
   "level": "l2"
  },
  "CAP_d72dda0f": {
   "en": "Mastery Failure Gate",
   "zh": "掌握失败门控",
   "level": "l3"
  },
  "CAP_d6e4642a": {
   "en": "Level Up",
   "zh": "等级升级",
   "level": "l3"
  },
  "CAP_0dcc8718": {
   "en": "Level Down",
   "zh": "等级降级",
   "level": "l3"
  },
  "CAP_b9343e19": {
   "en": "Level Hold",
   "zh": "等级维持",
   "level": "l3"
  },
  "CAP_ce9bd448": {
   "en": "Level Transition Commit",
   "zh": "等级转换提交",
   "level": "l3"
  },
  "CAP_977abe66": {
   "en": "Skill Estimate and Threshold Adaptation",
   "zh": "技能估计与阈值自适应",
   "level": "l3"
  },
  "CAP_7a3f0000": {
   "en": "LLM-Affordance Probability Feasibility Scoring",
   "zh": "LLM-Affordance 概率可行性评分",
   "level": "l2"
  },
  "CAP_7a3f0001": {
   "en": "Symbolic Precondition Feasibility Checking",
   "zh": "符号前置条件可行性检查",
   "level": "l2"
  },
  "CAP_7a3f0002": {
   "en": "Embodied CoT Feasibility Reasoning",
   "zh": "具身思维链可行性推理",
   "level": "l2"
  },
  "CAP_7a3f0011": {
   "en": "Feasibility Verdict Synthesis",
   "zh": "可行性判定综合",
   "level": "l3"
  },
  "CAP_7a3f0012": {
   "en": "Infeasibility Factor Attribution",
   "zh": "不可行因素归因",
   "level": "l3"
  },
  "CAP_7a3f0020": {
   "en": "Ontology Capability Encoding",
   "zh": "本体能力编码",
   "level": "l3"
  },
  "CAP_7a3f0030": {
   "en": "Visual-Linguistic Input Encoding",
   "zh": "视觉语言输入编码",
   "level": "l3"
  },
  "CAP_98f0174c": {
   "en": "Subtask and Motion Reasoning Step",
   "zh": "Subtask 与 Motion 推理步生成",
   "level": "l3"
  },
  "CAP_7a3f0031": {
   "en": "CoT-Based Feasibility Verdict and Action Gating",
   "zh": "CoT 可行性判定与动作门控",
   "level": "l3"
  },
  "CAP_fdd5235b": {
   "en": "Task Frame Selection",
   "zh": "任务坐标系选择",
   "level": "l2"
  },
  "CAP_400c5144": {
   "en": "Manufacturer Workpiece Frame Configuration",
   "zh": "厂商工件坐标系配置",
   "level": "l2"
  },
  "CAP_2b0c73e4": {
   "en": "QP Controlled Frame Selection",
   "zh": "QP 控制器坐标系选择",
   "level": "l2"
  },
  "CAP_bcffe1d7": {
   "en": "Task Phase S Matrix Scheduling",
   "zh": "任务相位 S 矩阵调度",
   "level": "l3"
  },
  "CAP_3a6d3208": {
   "en": "Three Point Method Workpiece Frame Calibration",
   "zh": "三点法工件坐标系标定",
   "level": "l3"
  },
  "CAP_52fa7fc9": {
   "en": "TCP Four Point Calibration",
   "zh": "TCP 四点标定",
   "level": "l3"
  },
  "CAP_1396dbeb": {
   "en": "Frame Composition Pose Trans",
   "zh": "坐标系复合 pose trans",
   "level": "l3"
  },
  "CAP_d0869999": {
   "en": "Multi Wobj Runtime Switching",
   "zh": "多工件坐标系运行时切换",
   "level": "l3"
  },
  "CAP_f33994f4": {
   "en": "Wobj Backup Restore",
   "zh": "工件坐标系备份恢复",
   "level": "l3"
  },
  "CAP_5d57a1d4": {
   "en": "Surface Normal Frame Construction",
   "zh": "曲面法向标架构造",
   "level": "l3"
  },
  "CAP_c29aa17a": {
   "en": "Path Tangent Estimation",
   "zh": "路径切向估计",
   "level": "l3"
  },
  "CAP_d6154795": {
   "en": "Tool Offset Relative Motion",
   "zh": "工具偏移相对运动",
   "level": "l3"
  },
  "CAP_a1fc9cd4": {
   "en": "Path Point Frame Switching",
   "zh": "路径点标架切换",
   "level": "l3"
  },
  "CAP_0135ff77": {
   "en": "OpenSoT Cartesian Task Construction",
   "zh": "OpenSoT Cartesian 任务建模",
   "level": "l3"
  },
  "CAP_ca4b0199": {
   "en": "TSID TaskMotion Construction",
   "zh": "TSID 任务建模",
   "level": "l3"
  },
  "CAP_72bb708c": {
   "en": "WBC Contact Equality Constraint",
   "zh": "Contact6d 接触等式约束构造",
   "level": "l3"
  },
  "CAP_62629aee": {
   "en": "Online Task Management via CartesI/O",
   "zh": "CartesI/O 在线任务管理集成",
   "level": "l3"
  },
  "CAP_e27fcfc0": {
   "en": "LLM-to-PDDL Goal Translation",
   "zh": "自然语言到PDDL目标转换",
   "level": "l2"
  },
  "CAP_f155d712": {
   "en": "In-Context Problem Prompt Assembly",
   "zh": "上下文问题提示组装",
   "level": "l3"
  },
  "CAP_03e19264": {
   "en": "PDDL Problem Validation and Repair",
   "zh": "PDDL问题校验与修复",
   "level": "l3"
  },
  "CAP_2f6bffdc": {
   "en": "NL Referent Grounding in Scene Graph",
   "zh": "自然语言指代场景图接地",
   "level": "l3"
  },
  "CAP_da7cc869": {
   "en": "Grounded Task Goal Structuring",
   "zh": "接地任务目标结构化",
   "level": "l3"
  },
  "CAP_35828fbf": {
   "en": "Reflection-Through-Synthesis Goal Refinement",
   "zh": "反思合成目标精修",
   "level": "l3"
  },
  "CAP_e9b515bf": {
   "en": "Goal Image Pose Extraction",
   "zh": "目标图像位姿提取",
   "level": "l3"
  },
  "CAP_febb1988": {
   "en": "Replay-Augmented Sequential Finetuning",
   "zh": "回放增强顺序微调",
   "level": "l3"
  },
  "CAP_2a89218d": {
   "en": "Parameter Subset Allocation",
   "zh": "参数子集分配",
   "level": "l3"
  },
  "CAP_7f3b9c76": {
   "en": "Prompt-Pool Lifelong Learning",
   "zh": "提示池式增量学习",
   "level": "l2"
  },
  "CAP_0ba34410": {
   "en": "Prompt Pool Initialization",
   "zh": "提示池初始化",
   "level": "l3"
  },
  "CAP_44595e39": {
   "en": "Input-Conditioned Prompt Selection",
   "zh": "输入条件提示选择",
   "level": "l3"
  },
  "CAP_12763506": {
   "en": "Prompt-Augmented Sequential Training",
   "zh": "提示增强顺序训练",
   "level": "l3"
  },
  "CAP_d1a01001": {
   "en": "Schema-Driven Pipeline TOD",
   "zh": "Schema 驱动 pipeline 任务型对话",
   "level": "l2"
  },
  "CAP_d1a01004": {
   "en": "DST Belief State Tracking",
   "zh": "DST 信念状态追踪",
   "level": "l3"
  },
  "CAP_d1a01006": {
   "en": "Schema-Guided Service Interface Injection",
   "zh": "Schema 引导服务接口注入",
   "level": "l3"
  },
  "CAP_d1a01007": {
   "en": "NLG Response Generation",
   "zh": "NLG 回复生成",
   "level": "l3"
  },
  "CAP_d1a01008": {
   "en": "System Action Status Reporting",
   "zh": "系统动作状态回报",
   "level": "l3"
  },
  "CAP_d2a02001": {
   "en": "LLM In-Context Learning TOD",
   "zh": "LLM 上下文学习任务型对话",
   "level": "l2"
  },
  "CAP_e67dfd31": {
   "en": "Free-Form User Utterance Ingestion",
   "zh": "自由形式用户话语接收",
   "level": "l3"
  },
  "CAP_d2a02005": {
   "en": "Flow Step Transition",
   "zh": "Flow 步骤推进（YAML 状态机）",
   "level": "l3"
  },
  "CAP_ccf80db4": {
   "en": "Closed-Loop Execution State Reporting Dialogue",
   "zh": "闭环执行状态回报对话",
   "level": "l2"
  },
  "CAP_009051aa": {
   "en": "Initial Skill Plan Generation",
   "zh": "初始技能计划生成",
   "level": "l3"
  },
  "CAP_c2ccaa44": {
   "en": "Closed-Loop Execution Status Detection",
   "zh": "闭环执行状态检测",
   "level": "l3"
  },
  "CAP_6ce04680": {
   "en": "Task Completion Status Report",
   "zh": "任务完成状态报告",
   "level": "l3"
  },
  "CAP_411e0a98": {
   "en": "Post-Grasp Object Pose Prediction",
   "zh": "后抓取物体位姿预测",
   "level": "l3"
  },
  "CAP_fd29d0de": {
   "en": "Scene Observation Acquisition",
   "zh": "场景观测采集",
   "level": "l3"
  },
  "CAP_59ed9cf7": {
   "en": "Task Conditioned Grasp Representation Evaluation",
   "zh": "任务条件化抓取表征评测",
   "level": "l3"
  },
  "CAP_bc7c7913": {
   "en": "Coarse-to-Fine VLM Part Grounding",
   "zh": "粗到细 VLM 部件接地",
   "level": "l3"
  },
  "CAP_49c54775": {
   "en": "Mask-Grounded Grasp Candidate Filtering",
   "zh": "部件掩码接地抓取候选过滤",
   "level": "l3"
  },
  "CAP_760d2861": {
   "en": "Spatial Constraint Post-Grasp Pose Generation",
   "zh": "空间约束抓取后位姿生成",
   "level": "l3"
  },
  "CAP_3a4e7979": {
   "en": "DNN Layer-wise Partitioning",
   "zh": "DNN 逐层分割",
   "level": "l2"
  },
  "CAP_a9139bbf": {
   "en": "Split Model Deployment",
   "zh": "分割模型部署",
   "level": "l3"
  },
  "CAP_adc05421": {
   "en": "Branchy Architecture Design",
   "zh": "分支退出架构设计",
   "level": "l3"
  },
  "CAP_fd4c71de": {
   "en": "Exit Branch Joint Training",
   "zh": "退出分支联合训练",
   "level": "l3"
  },
  "CAP_14c8034e": {
   "en": "Split-Exit Policy Co-optimization",
   "zh": "分割退出策略协同优化",
   "level": "l3"
  },
  "CAP_c6e6cfd5": {
   "en": "Adaptive Progressive Execution",
   "zh": "自适应渐进执行",
   "level": "l3"
  },
  "CAP_46cc0212": {
   "en": "Feature-Compression Split Computing",
   "zh": "特征压缩分割计算",
   "level": "l2"
  },
  "CAP_8424cd3e": {
   "en": "Bottleneck Module Placement",
   "zh": "瓶颈模块插入位置选择",
   "level": "l3"
  },
  "CAP_115cb631": {
   "en": "Rate-Distortion Joint Training",
   "zh": "率失真联合训练",
   "level": "l3"
  },
  "CAP_b975c20a": {
   "en": "Bandwidth-Aware Partition Selection",
   "zh": "带宽感知分割点选择",
   "level": "l3"
  },
  "CAP_646fc040": {
   "en": "Compressed Feature Transmission and Decoding",
   "zh": "压缩特征传输与解码执行",
   "level": "l3"
  },
  "CAP_1fd3bb31": {
   "en": "Capability Subsumption Plan Solving",
   "zh": "能力蕴含规划求解",
   "level": "l3"
  },
  "CAP_156ea628": {
   "en": "Mission Level Feasibility Precheck",
   "zh": "任务级可行性预检",
   "level": "l2"
  },
  "CAP_ea2d74cb": {
   "en": "Home Position Validation",
   "zh": "home 位置有效性验证",
   "level": "l3"
  },
  "CAP_72f4f37b": {
   "en": "Mission Waypoint Sequence Validation",
   "zh": "任务航点序列验证",
   "level": "l3"
  },
  "CAP_4fdd5c6e": {
   "en": "Geofence Containment Check",
   "zh": "地理围栏包含性检查",
   "level": "l3"
  },
  "CAP_72f426dd": {
   "en": "OpenSoT Kinematic HQP Pipeline",
   "zh": "OpenSoT 速度层严格优先级 HQP 管线",
   "level": "l2"
  },
  "CAP_867cac41": {
   "en": "OpenSoT AutoStack Cascade Solve",
   "zh": "OpenSoT AutoStack 优先级栈组装与级联求解",
   "level": "l3"
  },
  "CAP_8aef4631": {
   "en": "Velocity-Level QP Solving",
   "zh": "速度级 QP 求解",
   "level": "l3"
  },
  "CAP_6ea662a1": {
   "en": "Velocity Integration to Position",
   "zh": "速度积分与位置指令生成",
   "level": "l3"
  },
  "CAP_b448172e": {
   "en": "TSID Dynamics HQP Pipeline",
   "zh": "TSID 力矩层严格优先级 HQP 管线",
   "level": "l2"
  },
  "CAP_615af72e": {
   "en": "TSID HQP Cascade Solve",
   "zh": "TSID HQP 层级组装与级联求解",
   "level": "l3"
  },
  "CAP_250b5b45": {
   "en": "Priority Level Cascade Projection",
   "zh": "优先级层级级联投影",
   "level": "l3"
  },
  "CAP_a4ab4998": {
   "en": "Floating-Base Rigid Body Model Construction",
   "zh": "浮动基座刚体模型构建",
   "level": "l3"
  },
  "CAP_b80e4f23": {
   "en": "Progress-Aware Bidding and Completion Update",
   "zh": "进度感知竞价与完成更新",
   "level": "l3"
  },
  "CAP_bfadb641": {
   "en": "Task-Graph Role Re-annotation and Dispatch",
   "zh": "任务图角色重标注与分派",
   "level": "l3"
  },
  "CAP_8bbf5404": {
   "en": "Task Relation Modeling",
   "zh": "任务关系建模",
   "level": "l2"
  },
  "CAP_1c131dce": {
   "en": "Taskonomy Source Model Training",
   "zh": "Taskonomy 源模型训练",
   "level": "l3"
  },
  "CAP_ca8af8af": {
   "en": "Supervision Policy Optimization",
   "zh": "监督策略优化",
   "level": "l3"
  },
  "CAP_bbc48627": {
   "en": "Taxonomy-Based MTL Grouping",
   "zh": "基于分类图的 MTL 分组",
   "level": "l3"
  },
  "CAP_49aea07e": {
   "en": "Probe Network Training",
   "zh": "探针网络训练",
   "level": "l3"
  },
  "CAP_cc49e091": {
   "en": "Task Embedding Computation",
   "zh": "任务嵌入向量计算",
   "level": "l3"
  },
  "CAP_e641e555": {
   "en": "Task Similarity Matrix Computation",
   "zh": "任务相似度矩阵计算",
   "level": "l3"
  },
  "CAP_d40a5c4b": {
   "en": "Embedding-Space Feature Extractor Selection",
   "zh": "嵌入空间特征提取器选择",
   "level": "l3"
  },
  "CAP_5e2839a7": {
   "en": "Inter-Task Gradient Affinity Measurement (TAG)",
   "zh": "任务间梯度亲和度测量（TAG）",
   "level": "l3"
  },
  "CAP_87f35f02": {
   "en": "Pairwise Joint Training Affinity Measurement (HOA)",
   "zh": "成对联合训练亲和度测量（HOA）",
   "level": "l3"
  },
  "CAP_024c2184": {
   "en": "Task Grouping Network Selection",
   "zh": "任务分组网络选择",
   "level": "l3"
  },
  "CAP_67466f07": {
   "en": "Branching MTL Architecture Training",
   "zh": "分支 MTL 架构训练",
   "level": "l3"
  },
  "CAP_487fdbb4": {
   "en": "Branching MTL Inference and Routing",
   "zh": "分支 MTL 推理与路由",
   "level": "l3"
  },
  "CAP_03ffe9cb": {
   "en": "Affinity Method Comparative Evaluation",
   "zh": "亲和度方法对照评测",
   "level": "l3"
  },
  "CAP_0accaa33": {
   "en": "Sentence Aggregation",
   "zh": "句子聚合",
   "level": "l2"
  },
  "CAP_f799eb04": {
   "en": "Few-Shot Inference Deployment",
   "zh": "少样本推理部署",
   "level": "l3"
  },
  "CAP_8e33b48b": {
   "en": "ELBO RL Joint Training",
   "zh": "ELBO 与 RL 联合训练",
   "level": "l2"
  },
  "CAP_de14f54b": {
   "en": "Latent Conditioned Policy",
   "zh": "潜在变量条件化策略",
   "level": "l3"
  },
  "CAP_b82e82f2": {
   "en": "Inner-Loop Context Adaptation",
   "zh": "内循环上下文适应",
   "level": "l3"
  },
  "CAP_48a8e496": {
   "en": "Fast Context Adaptation",
   "zh": "快速上下文适应",
   "level": "l3"
  },
  "CAP_79378b8d": {
   "en": "Context-Conditioned Inference",
   "zh": "上下文条件化推理",
   "level": "l3"
  },
  "CAP_701b8670": {
   "en": "Debug Scenario Matrix Design",
   "zh": "调试场景矩阵设计",
   "level": "l3"
  },
  "CAP_2ea51efd": {
   "en": "Policy Acceptance Gate",
   "zh": "策略验收门量化验证",
   "level": "l3"
  },
  "CAP_49ad9e48": {
   "en": "Subtask Completion Validation",
   "zh": "子任务完成验证",
   "level": "l3"
  },
  "CAP_a154f58f": {
   "en": "TaskSpec Definition",
   "zh": "任务规范定义",
   "level": "l3"
  },
  "CAP_041ce251": {
   "en": "Goal and Event Chain Design",
   "zh": "目标与事件链设计",
   "level": "l2"
  },
  "CAP_7b7d0a54": {
   "en": "Task Environment Class Structure",
   "zh": "任务环境类结构定义",
   "level": "l2"
  },
  "CAP_23f39f81": {
   "en": "Task Scene Config and Initial Event Design",
   "zh": "任务场景配置与初始事件设计",
   "level": "l3"
  },
  "CAP_8a5a5f66": {
   "en": "Initial State Distribution Design",
   "zh": "初始状态分布设计",
   "level": "l3"
  },
  "CAP_9d45579f": {
   "en": "Task Variant Set Construction",
   "zh": "任务变体集构建",
   "level": "l3"
  },
  "CAP_621b3236": {
   "en": "Scenario Variant Matrix Construction",
   "zh": "场景变体矩阵构建",
   "level": "l3"
  },
  "CAP_278c7f48": {
   "en": "Acceptance Gate Execution",
   "zh": "验收门执行",
   "level": "l3"
  },
  "CAP_ef5ca111": {
   "en": "Subtask Sequential Execution",
   "zh": "子任务顺序执行",
   "level": "l3"
  },
  "CAP_d7c72c71": {
   "en": "Skill Code Task Segmentation",
   "zh": "技能码任务分段",
   "level": "l3"
  },
  "CAP_fdd54878": {
   "en": "Robot Execution & Long-Horizon Rollout",
   "zh": "机器人执行与长时域 rollout",
   "level": "l3"
  },
  "CAP_8cf23328": {
   "en": "LLM PDDL Domain Generator",
   "zh": "LLM驱动PDDL域生成器",
   "level": "l3"
  },
  "CAP_f47765f9": {
   "en": "Oscillation-Energy-Based Damping Injection",
   "zh": "振荡能量阻尼注入",
   "level": "l3"
  },
  "CAP_d0dd6b13": {
   "en": "Task-Space Impedance Shaping",
   "zh": "任务空间阻抗整形",
   "level": "l2"
  },
  "CAP_e170401a": {
   "en": "Per-Axis Anisotropic Stiffness Design",
   "zh": "轴向各向异性刚度设计",
   "level": "l3"
  },
  "CAP_1baa46a5": {
   "en": "Operational Space Selection Matrix",
   "zh": "操作空间选择矩阵构造",
   "level": "l3"
  },
  "CAP_55f0e031": {
   "en": "WBC TSID HQP Assembly",
   "zh": "TSID HQP 层级组装",
   "level": "l3"
  },
  "CAP_f2dce002": {
   "en": "WBC Force Generator Matrix",
   "zh": "力生成矩阵 12D 顶点力到 6D 映射",
   "level": "l3"
  },
  "CAP_663c712e": {
   "en": "Real-time Hierarchical QP Solving",
   "zh": "实时层级 QP 求解",
   "level": "l3"
  },
  "CAP_c9b40a06": {
   "en": "Task-Object-Grasp Compatibility Representation Learning",
   "zh": "任务-物体-抓取兼容性表征学习",
   "level": "l3"
  },
  "CAP_7bbe1f42": {
   "en": "Geometry-Aware Curriculum Training",
   "zh": "几何感知课程学习训练",
   "level": "l3"
  },
  "CAP_128977f2": {
   "en": "CLIP Visual Encoder End-to-End Policy Training",
   "zh": "CLIP 视觉编码器端到端策略训练",
   "level": "l3"
  },
  "CAP_eb8d385f": {
   "en": "End-to-End VLA Foundation Task Representation Learning",
   "zh": "端到端 VLA 基础模型任务表征学习",
   "level": "l2"
  },
  "CAP_dd8969e4": {
   "en": "Synthetic Data VLA Pretraining Representation Learning",
   "zh": "合成数据 VLA 预训练表征学习",
   "level": "l3"
  },
  "CAP_4d8db700": {
   "en": "Visuo-Tactile Multimodal VLA Representation Fusion",
   "zh": "视触觉多模态 VLA 表征融合",
   "level": "l3"
  },
  "CAP_b2a10001": {
   "en": "Environment Object and Action Enumeration",
   "zh": "环境对象与动作枚举",
   "level": "l3"
  },
  "CAP_b2a10003": {
   "en": "Assertion Precondition Checking",
   "zh": "断言前置条件检查",
   "level": "l3"
  },
  "CAP_b2a10004": {
   "en": "Generated Code Execution",
   "zh": "生成代码执行",
   "level": "l3"
  },
  "CAP_d4a10001": {
   "en": "HTN Domain File Loading",
   "zh": "HTN 领域文件加载",
   "level": "l3"
  },
  "CAP_668f147c": {
   "en": "Task Definition Alignment",
   "zh": "任务定义对齐",
   "level": "l2"
  },
  "CAP_30dc72e5": {
   "en": "Sim-Real Task Spec Equivalence",
   "zh": "仿真-真实任务规格等价",
   "level": "l3"
  },
  "CAP_beb31e3d": {
   "en": "Sim-Side Policy Evaluation",
   "zh": "仿真侧策略评测",
   "level": "l2"
  },
  "CAP_46afeac4": {
   "en": "Sim Success Rate Check",
   "zh": "仿真成功率阈值检查",
   "level": "l3"
  },
  "CAP_7c7ce08f": {
   "en": "Real Robot System Setup",
   "zh": "真实机器人系统搭建",
   "level": "l3"
  },
  "CAP_2a754818": {
   "en": "Real-World Task Execution",
   "zh": "真实环境任务执行",
   "level": "l3"
  },
  "CAP_432555c2": {
   "en": "Real-World Success Rate Aggregation",
   "zh": "真实侧成功率统计",
   "level": "l3"
  },
  "CAP_66e2cdee": {
   "en": "Transfer Gap Adjudication",
   "zh": "迁移差距裁决",
   "level": "l2"
  },
  "CAP_1590b47c": {
   "en": "Transfer Gap Check",
   "zh": "迁移差距阈值检查",
   "level": "l3"
  },
  "CAP_60ecfbcb": {
   "en": "Transfer Fidelity Verdict",
   "zh": "迁移保真度裁决",
   "level": "l3"
  },
  "CAP_1de403c7": {
   "en": "Real Scene Scan",
   "zh": "真实场景扫描",
   "level": "l3"
  },
  "CAP_d6abe046": {
   "en": "Digital Twin Reconstruction",
   "zh": "数字孪生重建",
   "level": "l3"
  },
  "CAP_884e6aad": {
   "en": "Physical Property Estimation",
   "zh": "物理属性估计",
   "level": "l3"
  },
  "CAP_edfe815f": {
   "en": "Paired Task Execution",
   "zh": "配对任务执行",
   "level": "l2"
  },
  "CAP_3100bdf4": {
   "en": "Real-World Task Demonstration",
   "zh": "真实环境任务演示",
   "level": "l3"
  },
  "CAP_2d752bdd": {
   "en": "Twin Task Replay",
   "zh": "孪生任务回放",
   "level": "l3"
  },
  "CAP_6aaf43e3": {
   "en": "Task Outcome Comparison",
   "zh": "任务结果对比",
   "level": "l3"
  },
  "CAP_a0b5c15d": {
   "en": "Replay Fidelity Verdict",
   "zh": "回放保真度裁决",
   "level": "l2"
  },
  "CAP_e64f951f": {
   "en": "Trajectory Reproduction Fidelity Metric",
   "zh": "轨迹复现度度量",
   "level": "l3"
  },
  "CAP_5afb7c5c": {
   "en": "Twin Replay Verdict",
   "zh": "孪生回放裁决",
   "level": "l3"
  },
  "CAP_db7c5952": {
   "en": "Benchmark Suite Selection and Task Definition",
   "zh": "基准套件选择与任务定义",
   "level": "l2"
  },
  "CAP_b44d8dda": {
   "en": "Benchmark Suite Selection",
   "zh": "基准套件选择",
   "level": "l3"
  },
  "CAP_5d15c048": {
   "en": "Simulation Task Definition Import",
   "zh": "仿真任务定义导入",
   "level": "l3"
  },
  "CAP_54999ffc": {
   "en": "Real-World Task Definition Mapping",
   "zh": "真实任务定义映射",
   "level": "l3"
  },
  "CAP_5eb80714": {
   "en": "Dual-Side Policy Evaluation",
   "zh": "双端策略评测",
   "level": "l2"
  },
  "CAP_080df9c9": {
   "en": "Benchmark Paired Evaluation",
   "zh": "基准配对评测",
   "level": "l3"
  },
  "CAP_b1aaa2e8": {
   "en": "Cross-Environment Consistency Analysis",
   "zh": "跨环境一致性分析",
   "level": "l2"
  },
  "CAP_5b68de8f": {
   "en": "Cross Environment Correlation",
   "zh": "跨环境相关性分析",
   "level": "l3"
  },
  "CAP_013abe80": {
   "en": "Task Difficulty Alignment",
   "zh": "任务难度对齐度分析",
   "level": "l3"
  },
  "CAP_18cdbb81": {
   "en": "Distribution Shift Sensitivity",
   "zh": "分布偏移敏感度分析",
   "level": "l3"
  },
  "CAP_6bbc0405": {
   "en": "Fidelity Scoring and Prediction",
   "zh": "保真度评分与预测",
   "level": "l2"
  },
  "CAP_696a696c": {
   "en": "Fidelity Composite Score",
   "zh": "保真度综合评分",
   "level": "l3"
  },
  "CAP_f8290364": {
   "en": "Fidelity-Transfer Prediction Model",
   "zh": "保真度-迁移预测模型",
   "level": "l3"
  },
  "CAP_4ee9c2a1": {
   "en": "Suite-Level Fidelity Adjudication",
   "zh": "套件级保真度裁决",
   "level": "l2"
  },
  "CAP_a630bca7": {
   "en": "Suite-Level Threshold Comparison",
   "zh": "套件级阈值比对",
   "level": "l3"
  },
  "CAP_386c288c": {
   "en": "Suite Fidelity Adjudication Decision",
   "zh": "套件保真度裁决决策",
   "level": "l3"
  },
  "CAP_c7d504ea": {
   "en": "Task Uncertainty Weighting",
   "zh": "任务不确定性加权",
   "level": "l2"
  },
  "CAP_9446a9a1": {
   "en": "Homoscedastic Task Uncertainty Loss Assembly",
   "zh": "同方差任务不确定性损失组装",
   "level": "l3"
  },
  "CAP_4f504515": {
   "en": "Task Uncertainty Parameter Initialization",
   "zh": "任务不确定性参数初始化",
   "level": "l3"
  },
  "CAP_08b03c60": {
   "en": "Multi-Task Perception Training Loop",
   "zh": "多任务感知训练循环",
   "level": "l3"
  },
  "CAP_2b0de3be": {
   "en": "Per-Pixel Aleatoric Uncertainty Head",
   "zh": "像素级 Aleatoric 不确定性头部",
   "level": "l3"
  },
  "CAP_9eb67e8b": {
   "en": "Aleatoric Uncertainty Loss Term",
   "zh": "Aleatoric 不确定性损失项",
   "level": "l3"
  },
  "CAP_07d3f0dc": {
   "en": "Combined Aleatoric Homoscedastic Loss Assembly",
   "zh": "Aleatoric 与 Homoscedastic 联合损失组装",
   "level": "l3"
  },
  "CAP_1318ec5f": {
   "en": "Auxiliary Task Uncertainty Loss Assembly",
   "zh": "辅助任务不确定性损失组装",
   "level": "l3"
  },
  "CAP_7a3e114b": {
   "en": "Auxiliary Task Selection Signal",
   "zh": "辅助任务去留信号提取",
   "level": "l3"
  },
  "CAP_dd21618e": {
   "en": "Main Auxiliary MTL Training Loop",
   "zh": "主辅非对称多任务训练循环",
   "level": "l3"
  },
  "CAP_a937c774": {
   "en": "Multi-Task CNN Forward Prediction",
   "zh": "多任务 CNN 前向预测",
   "level": "l3"
  },
  "CAP_4871df7b": {
   "en": "Depth Auxiliary Supervision",
   "zh": "深度辅助监督",
   "level": "l3"
  },
  "CAP_36911554": {
   "en": "GCC-PHAT TDOA Hyperbolic Multilateration Pipeline",
   "zh": "GCC-PHAT 时差双曲线多边定位链",
   "level": "l2"
  },
  "CAP_86d29975": {
   "en": "SRP-PHAT Direct Position Search Pipeline",
   "zh": "SRP-PHAT 直接位置搜索链",
   "level": "l2"
  },
  "CAP_46037cd8": {
   "en": "SRP-PHAT Position Power Map Computation",
   "zh": "SRP-PHAT 位置功率图计算",
   "level": "l3"
  },
  "CAP_5ec68361": {
   "en": "Position Peak Detection and Sub-grid Refinement",
   "zh": "位置峰值检测与子网格精化",
   "level": "l3"
  },
  "CAP_babb2233": {
   "en": "Subtask Pool Construction",
   "zh": "子任务池构建",
   "level": "l3"
  },
  "CAP_238dae1d": {
   "en": "Per-Task Learning Curve Tracking",
   "zh": "逐任务学习曲线跟踪",
   "level": "l3"
  },
  "CAP_7462db51": {
   "en": "Curriculum Convergence Detection",
   "zh": "课程收敛检测",
   "level": "l3"
  },
  "CAP_1e019963": {
   "en": "Learned RL Teacher Curriculum",
   "zh": "学习型 RL 教师课程",
   "level": "l2"
  },
  "CAP_3b44be28": {
   "en": "Teacher Policy Network",
   "zh": "教师策略网络",
   "level": "l3"
  },
  "CAP_87bd66a7": {
   "en": "Student State Encoding",
   "zh": "学生状态编码",
   "level": "l3"
  },
  "CAP_28c0e014": {
   "en": "REINFORCE Teacher Training",
   "zh": "REINFORCE 教师训练",
   "level": "l3"
  },
  "CAP_94e8f896": {
   "en": "Learning Progress Reward Computation",
   "zh": "学习进度奖励计算",
   "level": "l3"
  },
  "CAP_46bf8247": {
   "en": "Teacher Cross-Task Transfer",
   "zh": "教师跨任务迁移",
   "level": "l3"
  },
  "CAP_e44e86fb": {
   "en": "User Trust Trajectory Aggregation",
   "zh": "用户信任轨迹聚合",
   "level": "l3"
  },
  "CAP_76d0e5b5": {
   "en": "Team Coordination Convergence Judgment",
   "zh": "团队协调收敛判定",
   "level": "l3"
  },
  "CAP_64f2419a": {
   "en": "Cross-Training Shared Mental Model",
   "zh": "交叉训练共享心智模型",
   "level": "l2"
  },
  "CAP_104a729f": {
   "en": "Shared-Autonomy POMDP Teaming",
   "zh": "共享自主 POMDP 团队优化",
   "level": "l2"
  },
  "CAP_9a5e8a25": {
   "en": "Team Cost Hindsight Optimization",
   "zh": "团队代价 Hindsight 优化",
   "level": "l3"
  },
  "CAP_055be4fe": {
   "en": "Team Cost Online Monitoring",
   "zh": "团队代价在线监测",
   "level": "l3"
  },
  "CAP_7a3cd871": {
   "en": "Closed-Loop Team Performance Adaptation",
   "zh": "闭环团队性能自适应",
   "level": "l2"
  },
  "CAP_8b367b11": {
   "en": "Trust-Capability Closed-Loop Authority Downgrade",
   "zh": "信任-能力闭环自主权降级",
   "level": "l3"
  },
  "CAP_4f93df9a": {
   "en": "Team Performance Bottleneck Diagnosis",
   "zh": "团队性能瓶颈诊断",
   "level": "l3"
  },
  "CAP_a7ac63a2": {
   "en": "Team Robot Parameter Adaptation Policy",
   "zh": "团队机器人参数自适应策略",
   "level": "l3"
  },
  "CAP_53a878ec": {
   "en": "Adaptive Parameter Update",
   "zh": "自适应参数更新",
   "level": "l3"
  },
  "CAP_e4934667": {
   "en": "Interface Effectiveness Monitoring",
   "zh": "界面效果监测",
   "level": "l3"
  },
  "CAP_4f1a8c2e": {
   "en": "Bimanual Leader-Follower Parallel Station Factory Collection",
   "zh": "双臂主从工位并行采集",
   "level": "l2"
  },
  "CAP_7b3d9e15": {
   "en": "Leader-Follower Station Standardization Definition",
   "zh": "leader-follower 工位标准化定义",
   "level": "l3"
  },
  "CAP_2c8f4a6d": {
   "en": "Station Parallel Replication & Operator Configuration",
   "zh": "工位并行复制与操作员配置",
   "level": "l3"
  },
  "CAP_c4a8f13e": {
   "en": "ORB-SLAM3 Post-Hoc Pose Recovery",
   "zh": "ORB-SLAM3 后处理位姿恢复",
   "level": "l3"
  },
  "CAP_6b2e8a4f": {
   "en": "Distributed Multi-Institution Standardized Platform Collection",
   "zh": "分布式多机构平台采集",
   "level": "l2"
  },
  "CAP_9d4f1c73": {
   "en": "Standardized Platform Spec Definition",
   "zh": "标准化平台 spec 定义",
   "level": "l3"
  },
  "CAP_2a8c5e69": {
   "en": "Multi-Institution Distributed Deployment",
   "zh": "多机构分布式部署",
   "level": "l3"
  },
  "CAP_e7b3d1f5": {
   "en": "SpaceMouse Single-Arm Teleoperation Collection",
   "zh": "SpaceMouse 单臂遥操作采集",
   "level": "l3"
  },
  "CAP_7f4c2a9e": {
   "en": "VR Immersive Humanoid Teleoperation Collection",
   "zh": "VR 沉浸式人形遥操作采集",
   "level": "l2"
  },
  "CAP_b6a9f2c4": {
   "en": "Immersive Stereo Visual Feedback Channel",
   "zh": "沉浸式立体视觉反馈通路",
   "level": "l3"
  },
  "CAP_2d5e8a7f": {
   "en": "Humanoid Whole-Body Real-Time Teleoperation Collection",
   "zh": "人形全身遥操作实时采集",
   "level": "l3"
  },
  "CAP_5a8e3c2f": {
   "en": "Consumer-Device Crowdsourced Home Collection",
   "zh": "消费级众包家庭采集",
   "level": "l2"
  },
  "CAP_8f2d6b41": {
   "en": "The Stick Tool Assembly",
   "zh": "The Stick 工具组装",
   "level": "l3"
  },
  "CAP_4c7a9e25": {
   "en": "Non-Expert Home Scene Collection",
   "zh": "非专家家庭场景采集",
   "level": "l3"
  },
  "CAP_d6b1f483": {
   "en": "HoNY Aggregation & HPR Self-Supervised Pretraining",
   "zh": "HoNY 汇总与 HPR 预训练",
   "level": "l3"
  },
  "CAP_1e9a5c78": {
   "en": "5-Minute Demo + 15-Minute Adaptation Deployment",
   "zh": "5 分钟示教 + 15 分钟适配部署",
   "level": "l3"
  },
  "CAP_0d6cd8c2": {
   "en": "Variable-Delay Wave Integral Correction",
   "zh": "变时延波积分修正",
   "level": "l3"
  },
  "CAP_29f8d874": {
   "en": "TDPA Transparency Loss Compensation",
   "zh": "TDPA 透明性损失补偿",
   "level": "l3"
  },
  "CAP_573ca51f": {
   "en": "Variable-Delay Packet-Loss TDPA Robustification",
   "zh": "时变时延丢包 TDPA 鲁棒化",
   "level": "l3"
  },
  "CAP_3035a0b8": {
   "en": "Slave Environment and Robot Virtual Modeling",
   "zh": "从端环境与机器人虚拟建模",
   "level": "l3"
  },
  "CAP_deda900d": {
   "en": "Real-Time Slave State Prediction",
   "zh": "实时状态预测",
   "level": "l3"
  },
  "CAP_50024d7bf4": {
   "en": "Virtual Model Online Correction",
   "zh": "虚拟模型在线修正",
   "level": "l3"
  },
  "CAP_34181e79": {
   "en": "Virtual Fixture Constraint Generation",
   "zh": "虚拟夹具约束生成",
   "level": "l3"
  },
  "CAP_628745a5": {
   "en": "AR Virtual-Real Fusion Predictive Display",
   "zh": "AR 虚实融合预测显示",
   "level": "l3"
  },
  "CAP_dbe572d8": {
   "en": "Slave Dynamics Internal Model",
   "zh": "从端动力学内模构建",
   "level": "l3"
  },
  "CAP_41a25907": {
   "en": "Internal Model Dead-Time-Free Prediction",
   "zh": "内模无时滞预测",
   "level": "l3"
  },
  "CAP_1f9e9e02": {
   "en": "Delayed-Model Prediction vs Measurement",
   "zh": "延迟模型预测与实测比较",
   "level": "l3"
  },
  "CAP_a3f50f59": {
   "en": "Model-Mismatch Robust Compensation",
   "zh": "模型失配鲁棒补偿",
   "level": "l3"
  },
  "CAP_96f1907d": {
   "en": "Master Joint Encoder Acquisition",
   "zh": "主手关节编码器采集",
   "level": "l3"
  },
  "CAP_a90fbbc5": {
   "en": "Adaptive Tremor Filtering",
   "zh": "主端震颤自适应滤波",
   "level": "l3"
  },
  "CAP_3d7e8f90": {
   "en": "Master-Side Notch Filter Fallback",
   "zh": "主端陷波滤波后备",
   "level": "l3"
  },
  "CAP_e8ab776a": {
   "en": "Master-Slave Command Dispatch",
   "zh": "主从指令下发",
   "level": "l3"
  },
  "CAP_5cc4cdee": {
   "en": "Slave Inverse Kinematics & Position Servoing",
   "zh": "从手运动学逆解与位置伺服",
   "level": "l3"
  },
  "CAP_4dca7196": {
   "en": "Hand Kinematics Forward",
   "zh": "人手运动学正解",
   "level": "l3"
  },
  "CAP_5dc6649b": {
   "en": "Vector Retargeting Optimizer",
   "zh": "向量重定向优化器",
   "level": "l3"
  },
  "CAP_bb4a6359": {
   "en": "Position Retargeting Optimizer",
   "zh": "位置重定向优化器",
   "level": "l3"
  },
  "CAP_b9ecde80": {
   "en": "Leader Backdriving Interface",
   "zh": "主端背驱接口",
   "level": "l3"
  },
  "CAP_af11f3e0": {
   "en": "Joint-Space Position Mapping",
   "zh": "关节空间位置映射",
   "level": "l3"
  },
  "CAP_8dcc7c5f": {
   "en": "Cross-Embodiment Whole-Body Motion Tracking",
   "zh": "跨体态全身运动跟踪",
   "level": "l2"
  },
  "CAP_cd3ce2bd": {
   "en": "Active Stereo Visual Feedback",
   "zh": "主动立体视觉反馈",
   "level": "l3"
  },
  "CAP_5097d5b3": {
   "en": "Web Dashboard Teleop Pipeline",
   "zh": "Web 仪表盘遥操作流水线",
   "level": "l2"
  },
  "CAP_45c5cc18": {
   "en": "Gamepad Input Acquisition",
   "zh": "手柄输入采集",
   "level": "l3"
  },
  "CAP_6866593c": {
   "en": "Surgical Console Teleop Pipeline",
   "zh": "手术控制台遥操作流水线",
   "level": "l2"
  },
  "CAP_bea80a4c": {
   "en": "Auxiliary Display Overlay",
   "zh": "辅助显示叠加",
   "level": "l3"
  },
  "CAP_f77d24f4": {
   "en": "Keyboard Hotkey Teleop Pipeline",
   "zh": "键盘热键遥操作流水线",
   "level": "l2"
  },
  "CAP_5b41fe4b": {
   "en": "Terminal Keyboard Event Capture",
   "zh": "终端键盘事件捕获",
   "level": "l3"
  },
  "CAP_8ad08e84": {
   "en": "ASCII Hotkey Grid Mapping",
   "zh": "ASCII 热键网格映射",
   "level": "l3"
  },
  "CAP_55f445e4": {
   "en": "Speed Preset Adjustment",
   "zh": "速度预设调整",
   "level": "l3"
  },
  "CAP_1937b08f": {
   "en": "Holonomic Mode Switching",
   "zh": "全向模式切换",
   "level": "l3"
  },
  "CAP_0c4865ec": {
   "en": "Repeat Rate and Timeout Safety",
   "zh": "重复发布与超时安全",
   "level": "l3"
  },
  "CAP_5aa8b802": {
   "en": "Twist Message Publishing",
   "zh": "Twist 消息发布",
   "level": "l3"
  },
  "CAP_c4c42ce6": {
   "en": "Surgical Simulator Curriculum Training",
   "zh": "手术模拟器课程化培训",
   "level": "l2"
  },
  "CAP_6fad83ae": {
   "en": "Foundation Skill Exercise Library",
   "zh": "基础技能练习库",
   "level": "l3"
  },
  "CAP_a76d2fc8": {
   "en": "Procedure-Specific Simulation Training",
   "zh": "术式专项模拟训练",
   "level": "l3"
  },
  "CAP_8c58b05a": {
   "en": "SubT Gazebo SAR Operator Training",
   "zh": "SubT Gazebo搜救操作员培训",
   "level": "l2"
  },
  "CAP_b37471db": {
   "en": "Single-Robot Teleop Navigation",
   "zh": "单机器人遥操作导航",
   "level": "l3"
  },
  "CAP_38528029": {
   "en": "Multi-Robot Heterogeneous Coordination",
   "zh": "异构多机协调",
   "level": "l3"
  },
  "CAP_f9cd3742": {
   "en": "Comms-Constrained Multi-Robot Search",
   "zh": "通信受限多机搜索",
   "level": "l3"
  },
  "CAP_1c2bc465": {
   "en": "SAR Teleoperation Performance Assessment",
   "zh": "搜救遥操作绩效评估",
   "level": "l3"
  },
  "CAP_be340ba3": {
   "en": "Industrial Robot OLP Simulator Training",
   "zh": "工业机器人OLP模拟器培训",
   "level": "l2"
  },
  "CAP_82e15bdf": {
   "en": "Virtual Cell Setup",
   "zh": "虚拟单元搭建",
   "level": "l3"
  },
  "CAP_e64d7c6b": {
   "en": "Single-Robot Teach Pendant Programming",
   "zh": "单机器人示教编程",
   "level": "l3"
  },
  "CAP_c4693681": {
   "en": "Multi-Robot OLP Coordination",
   "zh": "多机器人OLP协调",
   "level": "l3"
  },
  "CAP_649afa12": {
   "en": "OLP Engineer Skill Assessment",
   "zh": "OLP工程师技能评估",
   "level": "l3"
  },
  "CAP_d7be0c4c": {
   "en": "Adaptive Shared Autonomy Novice Training",
   "zh": "自适应共享自主辅助新手遥操作培训",
   "level": "l2"
  },
  "CAP_526203ec": {
   "en": "Training Effect Transfer Test",
   "zh": "训练效果迁移测试",
   "level": "l3"
  },
  "CAP_16fe613a": {
   "en": "Task-Phased Autonomy Allocation",
   "zh": "任务阶段化自主度分配",
   "level": "l3"
  },
  "CAP_bce05f4d": {
   "en": "Progressive Autonomy Escalation",
   "zh": "渐进式自主权回升",
   "level": "l3"
  },
  "CAP_2218a865": {
   "en": "Temperature Monitoring",
   "zh": "温度监控",
   "level": "l2"
  },
  "CAP_fd28215c": {
   "en": "Communication Timeout Safety Stop",
   "zh": "通信超时安全停机",
   "level": "l3"
  },
  "CAP_4f0d446c": {
   "en": "Temperature Sensor Node Enumeration",
   "zh": "温度传感器节点枚举",
   "level": "l3"
  },
  "CAP_f32ec315": {
   "en": "Governor and Cooling Device State Query",
   "zh": "Governor 与 Cooling Device 状态查询",
   "level": "l3"
  },
  "CAP_b840e5e4": {
   "en": "Polling State Machine with Hysteresis",
   "zh": "带迟滞的轮询状态机",
   "level": "l3"
  },
  "CAP_ba216c9e": {
   "en": "Temperature Trend Calculation",
   "zh": "温度趋势计算",
   "level": "l3"
  },
  "CAP_a37be9fc": {
   "en": "Cooling Device State Write Trigger",
   "zh": "Cooling Device 状态写入触发",
   "level": "l3"
  },
  "CAP_4483a51c": {
   "en": "Critical Trip Poweroff Trigger",
   "zh": "Critical Trip 关机触发",
   "level": "l3"
  },
  "CAP_ac0fbea3": {
   "en": "Temperature Alarm and Metrics Exposure",
   "zh": "温度告警与指标暴露",
   "level": "l3"
  },
  "CAP_893ff1a4": {
   "en": "RTD Thermocouple PTC Sensor Integration",
   "zh": "RTD 热电偶 PTC 传感器集成",
   "level": "l3"
  },
  "CAP_ca0f43a9": {
   "en": "EtherCAT PDO CANopen SDO Temperature Reading",
   "zh": "EtherCAT PDO CANopen SDO 温度读取",
   "level": "l3"
  },
  "CAP_bc567eaa": {
   "en": "Sensor Linearization and Unit Conversion",
   "zh": "传感器线性化与单位转换",
   "level": "l3"
  },
  "CAP_ad1519c4": {
   "en": "Motor Insulation Grade Threshold Configuration",
   "zh": "电机绝缘等级阈值配置",
   "level": "l3"
  },
  "CAP_7bdc9fd6": {
   "en": "CiA402 FSA State Machine Polling",
   "zh": "CiA 402 FSA 状态机轮询",
   "level": "l3"
  },
  "CAP_6f5d3baf": {
   "en": "NAMUR NE107 Status Classification",
   "zh": "NAMUR NE107 状态分类",
   "level": "l3"
  },
  "CAP_d45fa62c": {
   "en": "Derate Torque Limit Trigger",
   "zh": "降额力矩限制触发",
   "level": "l3"
  },
  "CAP_3cb0542e": {
   "en": "Fault Hard Stop Trigger",
   "zh": "故障硬停触发",
   "level": "l3"
  },
  "CAP_aac57fe8": {
   "en": "Fault Code Reporting and Diagnostics",
   "zh": "故障码上报与诊断",
   "level": "l3"
  },
  "CAP_098eae3b": {
   "en": "ADC Multi-Channel Scan and DMA",
   "zh": "ADC 多通道扫描与 DMA",
   "level": "l3"
  },
  "CAP_d6fb472a": {
   "en": "Multi-Source MCU Temperature Reading",
   "zh": "多源 MCU 温度读取",
   "level": "l3"
  },
  "CAP_1b28a53e": {
   "en": "Signal Conditioning and R-T Conversion",
   "zh": "信号调理与 R-T 转换",
   "level": "l3"
  },
  "CAP_1b35da16": {
   "en": "MCU Threshold and DS18B20 Hardware Alarm",
   "zh": "MCU 阈值与 DS18B20 硬件告警",
   "level": "l3"
  },
  "CAP_4a88ad87": {
   "en": "Firmware State Machine with Hysteresis",
   "zh": "固件状态机与迟滞",
   "level": "l3"
  },
  "CAP_af2a6b98": {
   "en": "PWM Fan Trigger",
   "zh": "PWM 风扇触发",
   "level": "l3"
  },
  "CAP_2b197238": {
   "en": "Thermal Shutdown and Derate Trigger",
   "zh": "热关机与降额触发",
   "level": "l3"
  },
  "CAP_498b759c": {
   "en": "MCU Alarm Reporting",
   "zh": "MCU 告警上报",
   "level": "l3"
  },
  "CAP_4a4570a9": {
   "en": "Exporter Deployment and Collector Configuration",
   "zh": "Exporter 部署与采集器配置",
   "level": "l3"
  },
  "CAP_b25ca87c": {
   "en": "Multi-Host Service Discovery",
   "zh": "多机服务发现",
   "level": "l3"
  },
  "CAP_8080e3ac": {
   "en": "PromQL TickScript Alert Rule Definition",
   "zh": "PromQL TickScript 告警规则定义",
   "level": "l3"
  },
  "CAP_1fd277d1": {
   "en": "Collector Downtime Detection",
   "zh": "采集器宕机检测",
   "level": "l3"
  },
  "CAP_6d5fac55": {
   "en": "Fleet Alarm vs Local Protection Division",
   "zh": "机群告警与本地保护分工",
   "level": "l3"
  },
  "CAP_f548b3c4": {
   "en": "HRL Network Initialization",
   "zh": "HRL网络初始化",
   "level": "l3"
  },
  "CAP_287be6f7": {
   "en": "HRL Worker Action Execution",
   "zh": "HRL工作者动作执行",
   "level": "l3"
  },
  "CAP_734f7226": {
   "en": "MAXQ-Q Online Model-Free Learning",
   "zh": "MAXQ-Q 在线无模型学习",
   "level": "l3"
  },
  "CAP_c6123790": {
   "en": "Safe State Abstraction",
   "zh": "安全状态抽象",
   "level": "l3"
  },
  "CAP_c0b677d8": {
   "en": "Two-Stage Proposal-Based TAD",
   "zh": "两阶段提案式时序动作检测",
   "level": "l2"
  },
  "CAP_9ad21a83": {
   "en": "Base Module Feature Refinement",
   "zh": "Base Module 特征精炼",
   "level": "l3"
  },
  "CAP_bda5c425": {
   "en": "Boundary Probability Sequence Prediction TEM",
   "zh": "边界概率序列预测 TEM",
   "level": "l3"
  },
  "CAP_a32a9830": {
   "en": "Boundary-Matching Confidence Map Regression PEM",
   "zh": "边界匹配置信度图回归 PEM",
   "level": "l3"
  },
  "CAP_d58c0a83": {
   "en": "Dynamic Proposal Score Fusion",
   "zh": "动态 proposal 置信度融合",
   "level": "l3"
  },
  "CAP_cc202121": {
   "en": "Soft-NMS Proposal Filtering",
   "zh": "Soft-NMS proposal 抑制",
   "level": "l3"
  },
  "CAP_c0d03ba2": {
   "en": "TAD mAP Evaluation",
   "zh": "TAD mAP@tIoU 评测",
   "level": "l3"
  },
  "CAP_99e8e3e3": {
   "en": "Single-Stage Anchor-Free Transformer TAD",
   "zh": "单阶段无锚点 Transformer 时序动作检测",
   "level": "l2"
  },
  "CAP_26bfd81d": {
   "en": "Multiscale Temporal Feature Pyramid",
   "zh": "多尺度时序特征金字塔",
   "level": "l3"
  },
  "CAP_dd32d858": {
   "en": "Local Self-Attention Temporal Encoding",
   "zh": "局部自注意力时序编码",
   "level": "l3"
  },
  "CAP_32741aa6": {
   "en": "Per-Moment Action Classification",
   "zh": "逐时刻动作分类",
   "level": "l3"
  },
  "CAP_0c7d642c": {
   "en": "Per-Moment Boundary Regression",
   "zh": "逐时刻边界回归",
   "level": "l3"
  },
  "CAP_d4296aa4": {
   "en": "TAD Detection Assembly NMS",
   "zh": "TAD 检测组装与 NMS",
   "level": "l3"
  },
  "CAP_75e2342e": {
   "en": "Weakly-Supervised MIL-Based TAD",
   "zh": "弱监督 MIL 时序动作检测",
   "level": "l2"
  },
  "CAP_0a4b9f6f": {
   "en": "Snippet Feature Encoding",
   "zh": "snippet 特征编码",
   "level": "l3"
  },
  "CAP_d9e1d0ae": {
   "en": "Snippet Action Classification",
   "zh": "snippet 动作分类",
   "level": "l3"
  },
  "CAP_fc11aff9": {
   "en": "MIL Video-Level Aggregation",
   "zh": "MIL 视频级聚合",
   "level": "l3"
  },
  "CAP_a2d604fd": {
   "en": "Video-Level Classification Loss",
   "zh": "视频级分类损失",
   "level": "l3"
  },
  "CAP_289ef20f": {
   "en": "Hard Snippet Mining",
   "zh": "hard snippet 挖掘",
   "level": "l3"
  },
  "CAP_ab0cb11c": {
   "en": "Snippet Contrastive Loss SniCo",
   "zh": "snippet 对比损失 SniCo",
   "level": "l3"
  },
  "CAP_6c28172a": {
   "en": "CAS-based Proposal Generation",
   "zh": "CAS 阈值 proposal 生成",
   "level": "l3"
  },
  "CAP_0511f610": {
   "en": "Boundary-Aware Temporal Segmentation Refinement Pipeline",
   "zh": "边界感知时序分割细化管线",
   "level": "l2"
  },
  "CAP_4b025966": {
   "en": "Activity Segment Timeline Construction",
   "zh": "活动段时间线构建",
   "level": "l3"
  },
  "CAP_3c0c67d8": {
   "en": "Video Timeline Serialization",
   "zh": "视频时间线序列化",
   "level": "l3"
  },
  "CAP_f0a30762": {
   "en": "Action Boundary Detection",
   "zh": "动作边界检测",
   "level": "l3"
  },
  "CAP_8898cd2d": {
   "en": "Boundary-Aware Segmentation Refinement",
   "zh": "边界感知分割细化",
   "level": "l3"
  },
  "CAP_c4189f3d": {
   "en": "Dynamic Temporal Causal Structure Learning",
   "zh": "动态时序因果结构学习",
   "level": "l2"
  },
  "CAP_9a7b7dfc": {
   "en": "Temporal Lagged Data Configuration",
   "zh": "时序滞后数据配置",
   "level": "l3"
  },
  "CAP_d75f467c": {
   "en": "DYNOTEARS Temporal Weight Matrix Optimization",
   "zh": "DYNOTEARS 时序权重矩阵优化",
   "level": "l3"
  },
  "CAP_f80983e2": {
   "en": "Dynamic Bayesian Network Graph Decoding",
   "zh": "动态贝叶斯网络图解码",
   "level": "l3"
  },
  "CAP_c2cac6fc": {
   "en": "Non-Gaussian Temporal Causal Discovery",
   "zh": "非高斯时序因果发现",
   "level": "l2"
  },
  "CAP_88284ccc": {
   "en": "Non-Gaussian Independence Causal Orientation",
   "zh": "非高斯独立性因果定向",
   "level": "l3"
  },
  "CAP_bd5c1161": {
   "en": "VARLiNGAM Temporal Causal Graph Output",
   "zh": "VARLiNGAM 时序因果图输出",
   "level": "l3"
  },
  "CAP_fce67272": {
   "en": "Dilated CNN Temporal Prediction and Attention Scoring",
   "zh": "Dilated CNN 时序预测与注意力评分",
   "level": "l3"
  },
  "CAP_7708caed": {
   "en": "Causal Validation via Permutation Test",
   "zh": "因果验证（排列重测）",
   "level": "l3"
  },
  "CAP_62ce6555": {
   "en": "LTL to Automaton Construction",
   "zh": "LTL 到自动机构造",
   "level": "l3"
  },
  "CAP_705a10b6": {
   "en": "LTL Strategy Unrolling to Steps",
   "zh": "LTL 策略展开为步骤序列",
   "level": "l3"
  },
  "CAP_5ca6d8d8": {
   "en": "TIMEX3 Recognition and ISO 8601 Normalization",
   "zh": "TIMEX3 时间表达式识别与 ISO 8601 归一化",
   "level": "l3"
  },
  "CAP_e23fff2d": {
   "en": "Instruction Temporal Graph Parsing",
   "zh": "指令时序图解析",
   "level": "l2"
  },
  "CAP_70cca2ef": {
   "en": "Temporal DAG Topological Sort to Steps",
   "zh": "时序 DAG 拓扑排序为步骤序列",
   "level": "l3"
  },
  "CAP_832f6468": {
   "en": "Event to Robot Action Mapping",
   "zh": "事件到机器人动作映射",
   "level": "l3"
  },
  "CAP_82767d11": {
   "en": "Allen Interval Consistency Check",
   "zh": "Allen 区间代数一致性检查",
   "level": "l3"
  },
  "CAP_262e1b77": {
   "en": "Timeline Domain Modeling",
   "zh": "时间轴域建模",
   "level": "l2"
  },
  "CAP_38696eb3": {
   "en": "Timeline State Variable Declaration",
   "zh": "时间轴状态变量声明",
   "level": "l3"
  },
  "CAP_1ec4098e": {
   "en": "Token and Constraint Authoring",
   "zh": "Token 与约束编写",
   "level": "l3"
  },
  "CAP_67e2e048": {
   "en": "Partial Plan Initialization",
   "zh": "部分计划初始化",
   "level": "l2"
  },
  "CAP_0d8ca463": {
   "en": "Plan Database Construction",
   "zh": "计划数据库构建",
   "level": "l3"
  },
  "CAP_5a67b4b1": {
   "en": "Flaw Detection",
   "zh": "缺陷检测",
   "level": "l3"
  },
  "CAP_e9203c82": {
   "en": "Flaw Repair Search",
   "zh": "缺陷修复搜索",
   "level": "l2"
  },
  "CAP_b227ba41": {
   "en": "Open Condition Resolution",
   "zh": "开放条件消解",
   "level": "l3"
  },
  "CAP_f170c226": {
   "en": "Threat Resolution and Variable Binding",
   "zh": "威胁消解与变量绑定",
   "level": "l3"
  },
  "CAP_3881cf35": {
   "en": "Timeline Plan Execution",
   "zh": "时间轴计划执行",
   "level": "l2"
  },
  "CAP_abdf9eae": {
   "en": "Timeline Plan Serialization",
   "zh": "时间轴计划序列化",
   "level": "l3"
  },
  "CAP_b6edc90b": {
   "en": "Plan Dispatch to Executive",
   "zh": "计划分发到执行器",
   "level": "l3"
  },
  "CAP_5e36f345": {
   "en": "STN Constraint Network Modeling",
   "zh": "STN 约束网络建模",
   "level": "l2"
  },
  "CAP_3275b21a": {
   "en": "Distance Graph Construction",
   "zh": "距离图构建",
   "level": "l3"
  },
  "CAP_88a6be38": {
   "en": "STN Consistency Verification",
   "zh": "STN 一致性校验",
   "level": "l2"
  },
  "CAP_bca5a75d": {
   "en": "Negative Cycle Detection",
   "zh": "负环检测",
   "level": "l3"
  },
  "CAP_664ea653": {
   "en": "Dispatchable Execution Analysis",
   "zh": "可调度执行分析",
   "level": "l2"
  },
  "CAP_ed758671": {
   "en": "Dispatchable Network Transformation",
   "zh": "可调度网络变换",
   "level": "l3"
  },
  "CAP_059aad95": {
   "en": "Online Time Bound Propagation",
   "zh": "在线时间界传播",
   "level": "l3"
  },
  "CAP_2db56d03": {
   "en": "Contingent Time Window Monitoring",
   "zh": "应急时间窗监控",
   "level": "l3"
  },
  "CAP_2bc1023e": {
   "en": "STN Model Building",
   "zh": "简单时态网络建模",
   "level": "l2"
  },
  "CAP_21dceb0e": {
   "en": "All-Pairs Shortest Path Computation",
   "zh": "全源最短路计算",
   "level": "l3"
  },
  "CAP_65af834c": {
   "en": "Minimal Network Extraction",
   "zh": "最小网络与可行调度提取",
   "level": "l3"
  },
  "CAP_590967c3": {
   "en": "Allen Network Modeling",
   "zh": "Allen 区间代数网络建模",
   "level": "l2"
  },
  "CAP_19fc638b": {
   "en": "Allen Relation Composition",
   "zh": "Allen 关系复合",
   "level": "l3"
  },
  "CAP_b96a8886": {
   "en": "PC-2 Path Consistency Propagation",
   "zh": "PC-2 路径一致性传播",
   "level": "l3"
  },
  "CAP_933b2c05": {
   "en": "Singleton Labeling Decomposition",
   "zh": "Singleton 标注分解",
   "level": "l3"
  },
  "CAP_58e0f464": {
   "en": "DTP Model Building",
   "zh": "析取时序问题建模",
   "level": "l2"
  },
  "CAP_ec41bb57": {
   "en": "Disjunct Branch Enumeration",
   "zh": "析取分支枚举",
   "level": "l3"
  },
  "CAP_600be715": {
   "en": "STP-Based DTP Propagation",
   "zh": "DTP 中的 STP 传播",
   "level": "l3"
  },
  "CAP_a2be7d50": {
   "en": "Conflict-Directed Backjumping",
   "zh": "冲突导向回跳",
   "level": "l3"
  },
  "CAP_1a63bf58": {
   "en": "STNU Model Building",
   "zh": "不确定时态网络建模",
   "level": "l2"
  },
  "CAP_912484e3": {
   "en": "Labeled Distance Graph Construction",
   "zh": "标记距离图构建",
   "level": "l3"
  },
  "CAP_2c581f81": {
   "en": "STN Dispatchable Execution",
   "zh": "STN 可调度执行",
   "level": "l2"
  },
  "CAP_ecd3efb0": {
   "en": "STN Dispatchable Derive",
   "zh": "STN 可调度性导出",
   "level": "l3"
  },
  "CAP_d4100497": {
   "en": "STN Online Dispatch",
   "zh": "STN 在线派发",
   "level": "l3"
  },
  "CAP_3ec3aaa1": {
   "en": "Allen ORD-Horn Check",
   "zh": "Allen ORD-Horn 子类判定",
   "level": "l3"
  },
  "CAP_75960aee": {
   "en": "Allen IA Constraint Solving",
   "zh": "Allen IA 约束求解",
   "level": "l2"
  },
  "CAP_91d847d8": {
   "en": "Allen PC2 Propagation",
   "zh": "Allen IA PC-2 路径一致性传播",
   "level": "l3"
  },
  "CAP_9319a21b": {
   "en": "Allen Table Encoding",
   "zh": "Allen IA Table 约束编码",
   "level": "l3"
  },
  "CAP_c196526a": {
   "en": "PDDL2.1 Timepoint Event Collection",
   "zh": "PDDL 2.1 时间点事件化",
   "level": "l3"
  },
  "CAP_46ca9d6e": {
   "en": "PDDL2.1 Constraint Checking",
   "zh": "PDDL 2.1 约束检查",
   "level": "l2"
  },
  "CAP_bc6da535": {
   "en": "L1 Sparse Regularization",
   "zh": "L1 稀疏正则化约束",
   "level": "l3"
  },
  "CAP_89fd718f": {
   "en": "Temporal Environment Modeling (Object-Level 4D Scene Graph)",
   "zh": "时变环境建模·物体级4D场景图",
   "level": "l2"
  },
  "CAP_11248737": {
   "en": "TLS-GNC Outlier Rejection",
   "zh": "TLS-GNC 外点剔除",
   "level": "l3"
  },
  "CAP_baa90948": {
   "en": "Voxel Accumulator",
   "zh": "体素累积器",
   "level": "l3"
  },
  "CAP_6317dbcd": {
   "en": "Event Sequence Preprocessing and Encoding",
   "zh": "事件序列预处理与编码",
   "level": "l2"
  },
  "CAP_348e9779": {
   "en": "Event Sampling and Prediction",
   "zh": "事件采样与预测",
   "level": "l2"
  },
  "CAP_ffadf201": {
   "en": "Event History Sequence Alignment and Masking",
   "zh": "事件历史序列对齐与掩码",
   "level": "l3"
  },
  "CAP_580d6e49": {
   "en": "Event Type Embedding and Continuous-Time Encoding",
   "zh": "事件类型嵌入与连续时间编码",
   "level": "l3"
  },
  "CAP_d3decc2e": {
   "en": "Continuous-Time Conditional Intensity Computation",
   "zh": "连续时间条件强度计算",
   "level": "l3"
  },
  "CAP_0c232a21": {
   "en": "Negative Log-Likelihood Monte Carlo Estimation",
   "zh": "负对数似然蒙特卡洛估计",
   "level": "l3"
  },
  "CAP_1ce7fe5e": {
   "en": "Hyperparameter Auto-Tuning",
   "zh": "超参自动调优",
   "level": "l3"
  },
  "CAP_dd9af3ee": {
   "en": "Batched Thinning Event Sampling",
   "zh": "批量 Thinning 事件采样",
   "level": "l3"
  },
  "CAP_d2fe81ca": {
   "en": "Minimum Bayes Risk Event Prediction",
   "zh": "最小贝叶斯风险事件预测",
   "level": "l3"
  },
  "CAP_e8b4f74f": {
   "en": "LLM Abductive Evidence Retrieval and Ranking",
   "zh": "LLM 溯因证据检索打分",
   "level": "l3"
  },
  "CAP_db2524f4": {
   "en": "ST Event Preprocessing and Spatial Graph Construction",
   "zh": "时空事件预处理与空间图构造",
   "level": "l2"
  },
  "CAP_c6a12ae7": {
   "en": "ST Dependency Modeling and ST Intensity Parameterization",
   "zh": "时空依赖建模与时空强度参数化",
   "level": "l2"
  },
  "CAP_25b5203f": {
   "en": "Exact Likelihood Training",
   "zh": "精确似然训练",
   "level": "l2"
  },
  "CAP_ffbcfc7e": {
   "en": "ST Event Sampling and Prediction",
   "zh": "时空事件采样与预测",
   "level": "l2"
  },
  "CAP_d506a055": {
   "en": "ST Event Sequence Loading and Spatial Alignment",
   "zh": "时空事件序列加载与空间坐标对齐",
   "level": "l3"
  },
  "CAP_887d3855": {
   "en": "Spatial Graph and Adjacency Construction",
   "zh": "空间图与邻接关系构造",
   "level": "l3"
  },
  "CAP_8226108e": {
   "en": "Continuous-Time Latent Dynamics and Ground Intensity",
   "zh": "连续时间隐状态演化与地面强度计算",
   "level": "l3"
  },
  "CAP_d5d9b2b5": {
   "en": "Conditional Normalizing Flow for Spatial Mark",
   "zh": "空间标记条件归一化流建模",
   "level": "l3"
  },
  "CAP_0e4ee6e4": {
   "en": "Decomposed Log-Likelihood Exact Computation",
   "zh": "分解对数似然精确计算",
   "level": "l3"
  },
  "CAP_c698ef09": {
   "en": "Joint Space-Time Event Sampling",
   "zh": "时空事件联合采样",
   "level": "l3"
  },
  "CAP_eff6a7d4": {
   "en": "Spatio-Temporal Event Prediction",
   "zh": "时空事件预测",
   "level": "l3"
  },
  "CAP_e6a5e9b0": {
   "en": "TimesNet Multi-Period Forecasting",
   "zh": "TimesNet 多周期时序预测",
   "level": "l2"
  },
  "CAP_8c44e769": {
   "en": "FFT-Based Multi-Periodicity Discovery",
   "zh": "基于 FFT 的多周期发现",
   "level": "l3"
  },
  "CAP_39fcc3d6": {
   "en": "1D-to-2D Reshape and Inception Feature Extraction",
   "zh": "1D 转 2D 重塑与 Inception 特征提取",
   "level": "l3"
  },
  "CAP_8d570949": {
   "en": "Adaptive Aggregation and Multi-Step Regression Forecast",
   "zh": "自适应聚合与多步回归预测",
   "level": "l3"
  },
  "CAP_ee3f53cf": {
   "en": "Event Onset Time Extraction and Confidence Scoring",
   "zh": "事件 Onset 时间提取与置信度打分",
   "level": "l3"
  },
  "CAP_ac7e32d9": {
   "en": "Deliberative World Model Task Planning",
   "zh": "慎思层世界模型任务规划",
   "level": "l3"
  },
  "CAP_d3b671bc": {
   "en": "Abstract Task Plan Generation",
   "zh": "抽象任务计划生成",
   "level": "l3"
  },
  "CAP_f267b156": {
   "en": "Sequencing Skill Orchestration",
   "zh": "时序技能编排",
   "level": "l3"
  },
  "CAP_5c8484b6": {
   "en": "Execution Status Feedback",
   "zh": "执行状态反馈链",
   "level": "l3"
  },
  "CAP_e84b3b68": {
   "en": "SMDP High-Level Coarse-Time Decision",
   "zh": "SMDP 高层粗时间决策",
   "level": "l2"
  },
  "CAP_98136ca2": {
   "en": "Frame Absolute Difference",
   "zh": "帧间绝对差分计算",
   "level": "l3"
  },
  "CAP_18ff1083": {
   "en": "Three Frame Symmetric Difference",
   "zh": "三帧对称差分",
   "level": "l3"
  },
  "CAP_7dda8d36": {
   "en": "Motion Target Bbox Extraction",
   "zh": "运动目标框提取",
   "level": "l3"
  },
  "CAP_63d9a204": {
   "en": "Motion History Image Accumulation",
   "zh": "运动历史图像累积",
   "level": "l3"
  },
  "CAP_93c6de61": {
   "en": "ECC Image Alignment",
   "zh": "ECC 几何图像对齐",
   "level": "l3"
  },
  "CAP_350cc37c": {
   "en": "Pixel Difference and SSIM Fusion",
   "zh": "像素差分与 SSIM 融合",
   "level": "l3"
  },
  "CAP_b293d7bc": {
   "en": "Variation Model Tolerance Band Check",
   "zh": "差异模型公差带越界判定",
   "level": "l3"
  },
  "CAP_54151f9c": {
   "en": "Multitemporal Remote Sensing Image Differencing",
   "zh": "多时相遥感图像差分",
   "level": "l3"
  },
  "CAP_228b1870": {
   "en": "CVA Direction Classification",
   "zh": "CVA 方向定类",
   "level": "l3"
  },
  "CAP_d895a2ed": {
   "en": "Threshold Binarization",
   "zh": "阈值二值化",
   "level": "l3"
  },
  "CAP_65dcccbc": {
   "en": "Abstract Controller Exec",
   "zh": "抽象控制器执行",
   "level": "l3"
  },
  "CAP_e51c08fc": {
   "en": "Co-safe LTL Motion Planning",
   "zh": "co-safe LTL 运动规划",
   "level": "l1"
  },
  "CAP_91698b54": {
   "en": "LTL to Buechi Automaton",
   "zh": "LTL 到 Büchi 自动机编译",
   "level": "l3"
  },
  "CAP_7bdb1a1d": {
   "en": "Sampling Product Search",
   "zh": "采样型乘积图搜索",
   "level": "l3"
  },
  "CAP_f789663d": {
   "en": "LTLf Symbolic Planning",
   "zh": "LTLf 符号规划",
   "level": "l1"
  },
  "CAP_dab5ee87": {
   "en": "DFA Constrained PDDL Search",
   "zh": "DFA 约束 PDDL 搜索",
   "level": "l3"
  },
  "CAP_3f8a6251": {
   "en": "Timestamp Drift Monitoring",
   "zh": "时间戳漂移监测",
   "level": "l3"
  },
  "CAP_25c0c18c": {
   "en": "Learning Based Implicit Temporal Alignment",
   "zh": "学习层隐式时间对齐流水线",
   "level": "l2"
  },
  "CAP_7b395160": {
   "en": "Temporal Cross-Modal Alignment",
   "zh": "时序跨模态对齐",
   "level": "l3"
  },
  "CAP_edb84dc3": {
   "en": "First-Frame Mask-Guided VOS Initialization",
   "zh": "首帧掩码引导VOS初始化",
   "level": "l3"
  },
  "CAP_7910d741": {
   "en": "Referring Video Object Segmentation",
   "zh": "指代视频物体分割",
   "level": "l2"
  },
  "CAP_98c52981": {
   "en": "Language-Conditioned Referring VOS Decoding",
   "zh": "语言条件指代VOS解码",
   "level": "l3"
  },
  "CAP_0f63af02": {
   "en": "Cross-Frame Referring Track Linking",
   "zh": "跨帧指代轨迹关联",
   "level": "l3"
  },
  "CAP_ae3aaccf": {
   "en": "Long Video Query Refinement",
   "zh": "长视频查询精修",
   "level": "l3"
  },
  "CAP_340fa024": {
   "en": "Foundation-Model Decoupled UVOS",
   "zh": "基础模型解耦无监督VOS",
   "level": "l2"
  },
  "CAP_45a5e1d4": {
   "en": "Three-Stage Decoupled Model Loading",
   "zh": "三阶段解耦模型加载",
   "level": "l3"
  },
  "CAP_cdf78dcc": {
   "en": "Tracklet Assignment & Memory Update",
   "zh": "轨迹分配与记忆更新",
   "level": "l3"
  },
  "CAP_09b15a66": {
   "en": "VIS Mask AP Evaluation",
   "zh": "VIS Mask AP评测",
   "level": "l3"
  },
  "CAP_5e2a8d31": {
   "en": "Mask VOS Output",
   "zh": "掩码VOS输出",
   "level": "l3"
  },
  "CAP_08dec013": {
   "en": "Matrix Profile Numeric Motif Discovery",
   "zh": "矩阵剖面数值时序模体发现",
   "level": "l2"
  },
  "CAP_59b41cb7": {
   "en": "Streaming CEP Pattern Recognition",
   "zh": "流式复杂事件模式识别",
   "level": "l2"
  },
  "CAP_b8c10864": {
   "en": "Change Point Detection and Segmentation",
   "zh": "变点检测与时序分段",
   "level": "l3"
  },
  "CAP_a177aff8": {
   "en": "Closed Maximal Top-k Pattern Refinement",
   "zh": "闭/极大/Top-k 序列模式精炼",
   "level": "l3"
  },
  "CAP_38d73b3b": {
   "en": "Event Stream Ingestion with Event-Time",
   "zh": "事件流摄入与事件时间配置",
   "level": "l3"
  },
  "CAP_a8efc8ca": {
   "en": "Event Stream Symbolic Abstraction",
   "zh": "事件流符号化抽象",
   "level": "l3"
  },
  "CAP_58f14ca6": {
   "en": "FLUSS Semantic Segmentation",
   "zh": "FLUSS 语义分割",
   "level": "l3"
  },
  "CAP_3c018aa7": {
   "en": "Matrix Profile Computation",
   "zh": "矩阵剖面全对最近邻计算",
   "level": "l3"
  },
  "CAP_be6307b4": {
   "en": "Numeric Time Series Windowing and Normalization",
   "zh": "数值时序窗口化与归一化",
   "level": "l3"
  },
  "CAP_794968db": {
   "en": "Periodicity Detection",
   "zh": "周期长度检测",
   "level": "l3"
  },
  "CAP_6c10bde6": {
   "en": "PrefixSpan Frequent Sequential Pattern Mining",
   "zh": "PrefixSpan 频繁序列模式挖掘",
   "level": "l3"
  },
  "CAP_13c31fa3": {
   "en": "Sequence Database Construction with Constraints",
   "zh": "序列数据库构造与约束注入",
   "level": "l3"
  },
  "CAP_c7dd7a27": {
   "en": "Single-Stream Episode Mining",
   "zh": "单事件流 Episode 挖掘",
   "level": "l3"
  },
  "CAP_0bab8902": {
   "en": "Time Series Chain Discovery",
   "zh": "时序链发现",
   "level": "l3"
  },
  "CAP_e9d64b19": {
   "en": "Top-k Motif Pair Extraction",
   "zh": "Top-k 模体对提取",
   "level": "l3"
  },
  "CAP_18939c30": {
   "en": "STL Seasonal-Trend Decomposition",
   "zh": "STL 季节-趋势分解",
   "level": "l3"
  },
  "CAP_4c359c0c": {
   "en": "PlanSys2 BT Temporal Planning",
   "zh": "PlanSys2 行为树时序规划",
   "level": "l2"
  },
  "CAP_a746b693": {
   "en": "ROSPlan KB Closed-Loop Temporal Replanning",
   "zh": "ROSPlan 知识库闭环时序重规划",
   "level": "l2"
  },
  "CAP_8f5989ad": {
   "en": "TimeML TLINK Pair Classification Pipeline",
   "zh": "TimeML TLINK 对分类流水线",
   "level": "l2"
  },
  "CAP_a2855f58": {
   "en": "Allen Interval Algebra Constraint Reasoning",
   "zh": "Allen 区间代数约束推理",
   "level": "l2"
  },
  "CAP_985822a9": {
   "en": "TLINK Feature Engineering and SVM Classification",
   "zh": "TLINK 特征工程与 SVM 分类",
   "level": "l3"
  },
  "CAP_81c8da6f": {
   "en": "Event Pair Context Extraction",
   "zh": "事件对上下文截取",
   "level": "l3"
  },
  "CAP_5427c89a": {
   "en": "Interval Constraint Network Parsing",
   "zh": "区间约束网络解析",
   "level": "l3"
  },
  "CAP_6938bef2": {
   "en": "Allen IA Satisfiability and Minimal Network",
   "zh": "Allen 代数可满足性与最简网络",
   "level": "l3"
  },
  "CAP_2e91ab1b": {
   "en": "LLM Prompt Template Construction",
   "zh": "LLM 提示模板构造",
   "level": "l3"
  },
  "CAP_06b9a4d2": {
   "en": "Few-shot Example Selection",
   "zh": "Few-shot 示例选择",
   "level": "l3"
  },
  "CAP_6a20edd9": {
   "en": "LLM CoT Inference with Self-consistency",
   "zh": "LLM CoT 推理与自洽性验证",
   "level": "l3"
  },
  "CAP_54fe841d": {
   "en": "Temporal SIGNAL Recognition",
   "zh": "时序信号词识别",
   "level": "l3"
  },
  "CAP_f45225e4": {
   "en": "Multi-Camera BEV Temporal 3D Detection",
   "zh": "多相机 BEV 时序 3D 检测",
   "level": "l2"
  },
  "CAP_d7957b5e": {
   "en": "Multi-Camera Frame Buffering",
   "zh": "多相机帧缓存",
   "level": "l3"
  },
  "CAP_f7f56cdd": {
   "en": "BEV Temporal Ego-Motion Alignment",
   "zh": "BEV 时序自车运动对齐",
   "level": "l3"
  },
  "CAP_a4d032fa": {
   "en": "BEVDet4D Feature Stacking Temporal Alignment",
   "zh": "BEVDet4D 特征堆叠时序对齐",
   "level": "l3"
  },
  "CAP_c7b43df3": {
   "en": "SOLOFusion Long-Short Term Fusion",
   "zh": "SOLOFusion 长短时序融合",
   "level": "l3"
  },
  "CAP_36840e00": {
   "en": "Sparse4D Sparse Spatiotemporal Sampling",
   "zh": "Sparse4D 稀疏时空采样",
   "level": "l3"
  },
  "CAP_cb8a10b5": {
   "en": "DETR-Style 3D Detection Head",
   "zh": "DETR 式 3D 检测头",
   "level": "l3"
  },
  "CAP_818f3470": {
   "en": "Multi-Frame LiDAR Point Cloud Temporal Accumulation",
   "zh": "多帧 LiDAR 点云时序累积",
   "level": "l2"
  },
  "CAP_71467a68": {
   "en": "LiDAR Scan Aggregation",
   "zh": "LiDAR 扫描聚合",
   "level": "l3"
  },
  "CAP_6c2bd465": {
   "en": "MPPNet Multi-Frame Sequence Encoding",
   "zh": "MPPNet 多帧序列编码",
   "level": "l3"
  },
  "CAP_2b0e6c0e": {
   "en": "Sensor Feature Extraction for Recurrent Fusion",
   "zh": "循环融合传感器特征提取",
   "level": "l3"
  },
  "CAP_a52e1032": {
   "en": "Feature Temporal Alignment",
   "zh": "特征时序对齐",
   "level": "l3"
  },
  "CAP_369bc2f4": {
   "en": "Recurrent BEV Temporal Fusion",
   "zh": "循环 BEV 时序融合",
   "level": "l3"
  },
  "CAP_77675407": {
   "en": "Gated Temporal Feature Fusion",
   "zh": "门控时序特征融合",
   "level": "l3"
  },
  "CAP_02b0b876": {
   "en": "Recurrent State Task Head",
   "zh": "循环状态任务头",
   "level": "l3"
  },
  "CAP_4bd01f11": {
   "en": "Temporal 6D Pose Smoothing (Online Recursive Filtering)",
   "zh": "时序6D平滑（在线递归滤波）",
   "level": "l2"
  },
  "CAP_ce793a87": {
   "en": "Particle Filter 6D Object Pose",
   "zh": "6D物体位姿粒子滤波",
   "level": "l3"
  },
  "CAP_0aefe15d": {
   "en": "EKF 6D State Fusion",
   "zh": "EKF六维状态融合",
   "level": "l3"
  },
  "CAP_e8cf30ef": {
   "en": "Pose Drift Detection and Reinitialization",
   "zh": "位姿漂移检测与重初始化（贝叶斯滤波）",
   "level": "l3"
  },
  "CAP_ef013510": {
   "en": "Temporal 6D Pose Smoothing (Sliding Window / Pose Graph Batch Optimization)",
   "zh": "时序6D平滑（滑窗/位姿图批量优化）",
   "level": "l2"
  },
  "CAP_529655e2": {
   "en": "Keypoint Detection and RANSAC Registration",
   "zh": "关键点检测与RANSAC配准",
   "level": "l3"
  },
  "CAP_bb0b00f3": {
   "en": "Memory-Augmented Keyframe Selection",
   "zh": "记忆增强关键帧选择",
   "level": "l3"
  },
  "CAP_d860f917": {
   "en": "Fixed-Lag Smoother Pose Tracking",
   "zh": "固定延迟平滑器位姿跟踪",
   "level": "l3"
  },
  "CAP_689dec83": {
   "en": "Causal Smoothed Pose Output",
   "zh": "因果性平滑位姿输出",
   "level": "l3"
  },
  "CAP_d15a7e00": {
   "en": "Lie Algebra Relative Pose Regression",
   "zh": "李代数相对位姿回归",
   "level": "l3"
  },
  "CAP_803d0bd7": {
   "en": "Pose Drift Detection and Neural Reinitialization",
   "zh": "位姿漂移检测与神经重初始化",
   "level": "l3"
  },
  "CAP_627e651d": {
   "en": "Neural Smoothed Pose Output",
   "zh": "神经平滑位姿输出",
   "level": "l3"
  },
  "CAP_e62308fd": {
   "en": "PoseCNNInitialization",
   "zh": "PoseCNN初始化",
   "level": "l3"
  },
  "CAP_b5d02244": {
   "en": "Token & Synchronization Rule Declaration",
   "zh": "Token 与同步规则声明",
   "level": "l3"
  },
  "CAP_a53dcc2b": {
   "en": "Timeline-Based Plan Solving",
   "zh": "Timeline-Based 计划求解",
   "level": "l3"
  },
  "CAP_76404f79": {
   "en": "Fleet Temporal Constraint Scheduling",
   "zh": "车队时序约束调度",
   "level": "l2"
  },
  "CAP_ec46bc98": {
   "en": "Fleet Temporal Scheduling Problem Formulation",
   "zh": "车队时序调度问题形式化",
   "level": "l3"
  },
  "CAP_98bb90ae": {
   "en": "Multi Objective Pareto Front",
   "zh": "多目标 Pareto 前沿",
   "level": "l3"
  },
  "CAP_8918cd5c": {
   "en": "CP-SAT Schedule Solution Extraction",
   "zh": "CP-SAT 调度方案提取",
   "level": "l3"
  },
  "CAP_030f79a9": {
   "en": "Schedule to rmf traffic Itinerary Translation",
   "zh": "调度方案转 rmf_traffic 行程",
   "level": "l3"
  },
  "CAP_8590ca1a": {
   "en": "rmf traffic Schedule Database Registration & Conflict Query",
   "zh": "rmf_traffic 调度数据库注册与冲突查询",
   "level": "l3"
  },
  "CAP_98f56e26": {
   "en": "Temporal Plan Compilation And Dispatch",
   "zh": "时序计划编译与分发",
   "level": "l2"
  },
  "CAP_0bf04461": {
   "en": "Induced Simple Plan Generation",
   "zh": "诱导简单计划生成",
   "level": "l3"
  },
  "CAP_1c82945b": {
   "en": "Plan To STNU Compilation",
   "zh": "计划到 STNU 编译",
   "level": "l3"
  },
  "CAP_52d335ae": {
   "en": "STNU Dispatchability Propagation",
   "zh": "STNU 可分发性传播",
   "level": "l3"
  },
  "CAP_00f5f901": {
   "en": "Dynamic Controllability Dispatching",
   "zh": "动态可控性分发",
   "level": "l3"
  },
  "CAP_d9553e93": {
   "en": "Timed Plan To STN Transformation",
   "zh": "时间戳计划到 STN 转换",
   "level": "l3"
  },
  "CAP_84335812": {
   "en": "DRE Computation via IRR",
   "zh": "IRR 计算 Decoupled Robustness Envelope",
   "level": "l3"
  },
  "CAP_e6dfbfcc": {
   "en": "Timeline-Based Game Controller Synthesis",
   "zh": "时间线博弈控制器合成",
   "level": "l2"
  },
  "CAP_8aae5769": {
   "en": "Timeline Game Problem Formulation",
   "zh": "时间线博弈问题构建",
   "level": "l3"
  },
  "CAP_08f5ead9": {
   "en": "Game Arena Construction",
   "zh": "博弈竞技场构建",
   "level": "l3"
  },
  "CAP_e606ab3c": {
   "en": "Safety Game Controller Synthesis",
   "zh": "安全博弈控制器合成",
   "level": "l3"
  },
  "CAP_d65a7798": {
   "en": "Winning Strategy Online Execution",
   "zh": "获胜策略在线执行",
   "level": "l3"
  },
  "CAP_41664a89": {
   "en": "Timeline Plan Validation",
   "zh": "时间线计划验证",
   "level": "l3"
  },
  "CAP_06f84b85": {
   "en": "Temporary Obstacle Mapping",
   "zh": "临时障碍物建图",
   "level": "l2"
  },
  "CAP_3176075b": {
   "en": "Permanent Static Layer Loading",
   "zh": "永久静态层加载",
   "level": "l3"
  },
  "CAP_2db75dc4": {
   "en": "Persistent Temporary Voxel Decay Layer Configuration",
   "zh": "永久/临时体素衰减分层配置",
   "level": "l3"
  },
  "CAP_052b2140": {
   "en": "PCC Geometric Modeling",
   "zh": "分段常数曲率几何建模",
   "level": "l2"
  },
  "CAP_5290f0f6": {
   "en": "TDCR Geometric Parameter Calibration",
   "zh": "TDCR 几何参数标定",
   "level": "l3"
  },
  "CAP_c2d2ec0a": {
   "en": "PCC Forward Kinematics Solving",
   "zh": "PCC 前向运动学求解",
   "level": "l3"
  },
  "CAP_155d0f31": {
   "en": "Model-Based Tendon Displacement Control",
   "zh": "模型驱动腱位移控制",
   "level": "l2"
  },
  "CAP_fd537f97": {
   "en": "Trajectory Planning for End-Effector Pose",
   "zh": "末端位姿轨迹规划",
   "level": "l3"
  },
  "CAP_91e98bce": {
   "en": "Tendon Displacement Actuation",
   "zh": "腱位移伺服下发",
   "level": "l3"
  },
  "CAP_7402d9f4": {
   "en": "Shape Feedback Closed-Loop Control",
   "zh": "形状反馈闭环控制",
   "level": "l2"
  },
  "CAP_ed537523": {
   "en": "FEM Mesh Generation",
   "zh": "FEM 网格生成",
   "level": "l3"
  },
  "CAP_3e91d6dd": {
   "en": "FEM Inverse Kinematics Solving",
   "zh": "FEM 数值逆运动学求解",
   "level": "l3"
  },
  "CAP_c41b8e2d": {
   "en": "FEM Model Error Compensation and Actuation",
   "zh": "FEM 模型误差补偿与驱动下发",
   "level": "l3"
  },
  "CAP_a9d6995f": {
   "en": "TDCR Trajectory Data Collection",
   "zh": "TDCR 轨迹数据采集",
   "level": "l3"
  },
  "CAP_835052eb": {
   "en": "Inverse Kinematics or RL Policy Learning",
   "zh": "逆运动学或 RL 策略学习",
   "level": "l3"
  },
  "CAP_79e6f049": {
   "en": "Learned Model Inference",
   "zh": "学习模型在线推理",
   "level": "l3"
  },
  "CAP_c38b1acb": {
   "en": "Online Model Fine-tuning",
   "zh": "模型在线微调",
   "level": "l3"
  },
  "CAP_baf1a0e0": {
   "en": "PointCloud Acquisition and Preprocessing",
   "zh": "多传感器点云采集与预处理",
   "level": "l3"
  },
  "CAP_8277fe0c": {
   "en": "Footstep Feasibility Detection",
   "zh": "足端可踏区域检测",
   "level": "l3"
  },
  "CAP_862468ee": {
   "en": "SCAN-Planner Long-Horizon Terrain Planning",
   "zh": "SCAN-Planner 长 horizon 地形规划",
   "level": "l3"
  },
  "CAP_b0b5fe80": {
   "en": "Body Axis Compensation and Attitude Alignment",
   "zh": "体轴补偿与姿态对齐",
   "level": "l3"
  },
  "CAP_d84cb997": {
   "en": "SVM Alternative Classification",
   "zh": "SVM 备选分类",
   "level": "l3"
  },
  "CAP_d0105992": {
   "en": "Classification Confidence Calibration",
   "zh": "分类置信度校准",
   "level": "l3"
  },
  "CAP_f998dadc": {
   "en": "Terrain Gain Lookup Table",
   "zh": "地形增益查表",
   "level": "l3"
  },
  "CAP_47041f15": {
   "en": "Terrain Parameter Adaptive Interpolation",
   "zh": "地形参数自适应插值",
   "level": "l3"
  },
  "CAP_096f0e5f": {
   "en": "Low-Pass Filter Smooth Transition",
   "zh": "低通滤波平滑过渡",
   "level": "l3"
  },
  "CAP_38fdc7c6": {
   "en": "Force Control Gain Update",
   "zh": "力控增益更新",
   "level": "l3"
  },
  "CAP_4e2b0546": {
   "en": "MPC Reference Parameter Update",
   "zh": "MPC 参考参数更新",
   "level": "l3"
  },
  "CAP_72aa9738": {
   "en": "Attention Encoder Perception Fusion",
   "zh": "注意力编码器感知融合",
   "level": "l3"
  },
  "CAP_fefd82b9": {
   "en": "Student Policy Distillation Training",
   "zh": "学生策略蒸馏训练",
   "level": "l3"
  },
  "CAP_f85a3bf5": {
   "en": "Domain Randomization Distillation",
   "zh": "域随机化蒸馏",
   "level": "l3"
  },
  "CAP_9e3c4b14": {
   "en": "Student Policy Export",
   "zh": "学生策略导出",
   "level": "l3"
  },
  "CAP_18f2d62f": {
   "en": "Perception Confidence Adaptation",
   "zh": "感知可信度自适应",
   "level": "l3"
  },
  "CAP_8f2a4c71": {
   "en": "Aircraft Terrain-Aided Navigation",
   "zh": "飞行器地形辅助导航",
   "level": "l2"
  },
  "CAP_3d6e9b02": {
   "en": "Down-looking Laser Altimetry AGL Measurement",
   "zh": "下视激光测高 AGL 测量",
   "level": "l3"
  },
  "CAP_5c1f8a34": {
   "en": "Terrain Elevation Profile Computation and Filtering",
   "zh": "地形高程测量计算与滤波估计",
   "level": "l3"
  },
  "CAP_4e8a1c67": {
   "en": "DEM Terrain Elevation Matching Localization",
   "zh": "DEM 地形高程匹配定位",
   "level": "l3"
  },
  "CAP_6f3b0d92": {
   "en": "Terrain False Match Detection and Correction",
   "zh": "地形匹配误匹配判断与惯导校正",
   "level": "l3"
  },
  "CAP_2c9f4a18": {
   "en": "Ground Robot Wheel-IMU Terrain SLAM",
   "zh": "地面机器人轮上 IMU 地形特征 SLAM 定位",
   "level": "l2"
  },
  "CAP_7e5c3b41": {
   "en": "Wheel-IMU INS Mechanization with Rotation Modulation",
   "zh": "轮上 IMU 力学编排与旋转调制",
   "level": "l3"
  },
  "CAP_1d8a6f37": {
   "en": "Terrain Roll Feature Extraction",
   "zh": "地形侧倾特征提取",
   "level": "l3"
  },
  "CAP_8c4e2b59": {
   "en": "Rao-Blackwellized Particle Filter Terrain Loop Closure",
   "zh": "Rao-Blackwellized 粒子滤波地形回环检测",
   "level": "l3"
  },
  "CAP_5a9d3e72": {
   "en": "Terrain-aided Pose Drift Correction",
   "zh": "地形辅助位姿漂移校正",
   "level": "l3"
  },
  "CAP_3f7b1c86": {
   "en": "Terrain Grid Map Building",
   "zh": "地形栅格地图构建",
   "level": "l3"
  },
  "CAP_a4adfe5f": {
   "en": "Terrain Elevation Profile Acquisition",
   "zh": "沿航迹高程序列采集",
   "level": "l3"
  },
  "CAP_10254fa2": {
   "en": "Radar Altimeter Acquisition",
   "zh": "雷达高度计测量获取",
   "level": "l3"
  },
  "CAP_6d2e5757": {
   "en": "Along-Track Elevation Profile Sampling",
   "zh": "沿航迹等间距采样",
   "level": "l3"
  },
  "CAP_4c55b25a": {
   "en": "MAD MSD NCC Grid Search",
   "zh": "MAD MSD NCC 网格遍历相关",
   "level": "l3"
  },
  "CAP_3a350c0a": {
   "en": "Best-Match Position Selection",
   "zh": "最优匹配位置选取与置信度",
   "level": "l3"
  },
  "CAP_8e5af600": {
   "en": "DEM Grid Storage",
   "zh": "DEM 网格存储",
   "level": "l3"
  },
  "CAP_3ad7f9d3": {
   "en": "Terrain Elevation Bilinear Interpolation",
   "zh": "地形高程双线性插值",
   "level": "l3"
  },
  "CAP_8054e314": {
   "en": "Terrain Gradient Computation",
   "zh": "地形梯度计算",
   "level": "l3"
  },
  "CAP_f1fab3dc": {
   "en": "Terrain Stochastic Linearization",
   "zh": "地形随机线性化",
   "level": "l3"
  },
  "CAP_b8e79fb6": {
   "en": "Robust Adaptive EKF Variant",
   "zh": "鲁棒自适应 EKF 变体",
   "level": "l3"
  },
  "CAP_a2790790": {
   "en": "Particle Weight Update & Normalization",
   "zh": "粒子权重更新与归一化",
   "level": "l3"
  },
  "CAP_a695dc3a": {
   "en": "State Estimation MMSE MAP",
   "zh": "状态估计（MMSE/MAP）",
   "level": "l3"
  },
  "CAP_16a21ffe": {
   "en": "AUV Sensor Stack Integration",
   "zh": "AUV 传感器栈集成",
   "level": "l3"
  },
  "CAP_9b5bba97": {
   "en": "Terrain Navigability Assessment",
   "zh": "地形适配区评估",
   "level": "l3"
  },
  "CAP_64ffdd2d": {
   "en": "Rotation-Scale Improved TERCOM Matching",
   "zh": "旋转尺度改进 TERCOM 匹配",
   "level": "l3"
  },
  "CAP_e953e9fa": {
   "en": "Marginalized Particle Filter Terrain Matching",
   "zh": "边缘化粒子滤波地形匹配",
   "level": "l3"
  },
  "CAP_585de0bf": {
   "en": "BEV Terrain Classification and Cost Mapping",
   "zh": "BEV 地形分类与代价地图",
   "level": "l2"
  },
  "CAP_4727f92b": {
   "en": "BEVNet Inference and Deployment",
   "zh": "BEVNet 推理与部署",
   "level": "l3"
  },
  "CAP_1f7946c3": {
   "en": "Terrain Cost Class Classification",
   "zh": "地形代价类别分类",
   "level": "l3"
  },
  "CAP_b9de68dd": {
   "en": "Terrain Class to Speed Mask Mapping",
   "zh": "地形类别到速度掩码映射",
   "level": "l3"
  },
  "CAP_3a8b0ebe": {
   "en": "Deep Texture Manifold Classification",
   "zh": "深度纹理流形分类",
   "level": "l3"
  },
  "CAP_3c75e41e": {
   "en": "Texture Manifold Classification Head",
   "zh": "纹理流形分类头",
   "level": "l3"
  },
  "CAP_94387ef7": {
   "en": "Multi-scale Terrain Feature Extraction",
   "zh": "多尺度地形特征提取",
   "level": "l3"
  },
  "CAP_d544c7a0": {
   "en": "Geometric Feature Cost Map Construction",
   "zh": "几何特征代价地图构建",
   "level": "l2"
  },
  "CAP_67ed9664": {
   "en": "Geometric Cost Layer Calibration and Fusion",
   "zh": "几何代价层加权标定与融合",
   "level": "l3"
  },
  "CAP_0ac5d327": {
   "en": "Geometric Costmap Layered Assembly",
   "zh": "几何代价地图分层组装",
   "level": "l3"
  },
  "CAP_d96e861a": {
   "en": "Terrain Cost Grade Platform Calibration",
   "zh": "地形代价等级平台标定",
   "level": "l3"
  },
  "CAP_c33cae3e": {
   "en": "Experienced Costmap Confidence-Weighted Assembly",
   "zh": "经验代价地图置信度加权组装",
   "level": "l3"
  },
  "CAP_fa27bbb2": {
   "en": "Self-Supervised Visual Navigation Perception",
   "zh": "自监督视觉导航感知",
   "level": "l3"
  },
  "CAP_ae6d4512": {
   "en": "Self-Supervised Visual Feature Extraction",
   "zh": "自监督视觉特征提取",
   "level": "l3"
  },
  "CAP_71dc98d1": {
   "en": "Traversability-Guided Path Planning",
   "zh": "可通行性引导路径规划",
   "level": "l3"
  },
  "CAP_3e261378": {
   "en": "Terrain Preview Predictive Navigation",
   "zh": "地形预览预测式导航",
   "level": "l2"
  },
  "CAP_04dba27b": {
   "en": "Terrain Preview Window Construction",
   "zh": "地形预览窗口构建",
   "level": "l3"
  },
  "CAP_490bb7e3": {
   "en": "Multi-Feature Lookahead Cost Aggregation",
   "zh": "多特征前瞻代价聚合",
   "level": "l3"
  },
  "CAP_19351066": {
   "en": "Multi-View Image Capture",
   "zh": "多视角图像采集",
   "level": "l3"
  },
  "CAP_ae5ac526": {
   "en": "Texture View Selection",
   "zh": "纹理视图选择",
   "level": "l3"
  },
  "CAP_62cd27fd": {
   "en": "Texture Atlas Packing",
   "zh": "纹理投影与图集打包",
   "level": "l2"
  },
  "CAP_834c160c": {
   "en": "Texture Color Adjustment",
   "zh": "纹理颜色调整与接缝处理",
   "level": "l3"
  },
  "CAP_9ed5b624": {
   "en": "Light Direction Calibration",
   "zh": "光源方向标定",
   "level": "l3"
  },
  "CAP_e93864a4": {
   "en": "Photometric Stereo Inversion",
   "zh": "光度立体重建",
   "level": "l2"
  },
  "CAP_5dda5278": {
   "en": "Normal Map Generation",
   "zh": "法线贴图生成",
   "level": "l3"
  },
  "CAP_150a92a8": {
   "en": "Albedo Map Generation",
   "zh": "反照率贴图生成",
   "level": "l3"
  },
  "CAP_f1669415": {
   "en": "Polarization-Separated Dual-Stream Image Capture",
   "zh": "偏振分离双流图像采集",
   "level": "l3"
  },
  "CAP_a91b5fe9": {
   "en": "Diffuse Normal Map Recovery",
   "zh": "漫反射法线图恢复",
   "level": "l2"
  },
  "CAP_71d022fd": {
   "en": "Specular Normal Map Recovery",
   "zh": "镜面法线图恢复",
   "level": "l3"
  },
  "CAP_ef4dd32c": {
   "en": "Diffuse Albedo Extraction",
   "zh": "漫反射反照率提取",
   "level": "l3"
  },
  "CAP_e4c9d8ec": {
   "en": "PBR Material Generation",
   "zh": "PBR 材质生成",
   "level": "l2"
  },
  "CAP_fcf9cf84": {
   "en": "Single-Image SVBRDF Inference",
   "zh": "单图 SVBRDF 神经推理",
   "level": "l2"
  },
  "CAP_76c1b134": {
   "en": "Synthetic SVBRDF Training Data Generation",
   "zh": "合成 SVBRDF 训练数据生成",
   "level": "l3"
  },
  "CAP_20628de5": {
   "en": "Rendering-Aware Loss Optimization",
   "zh": "渲染感知损失优化",
   "level": "l3"
  },
  "CAP_d4b3960c": {
   "en": "PBR Map Tiling Postprocess",
   "zh": "PBR 贴图平铺后处理",
   "level": "l3"
  },
  "CAP_a48aff1f": {
   "en": "UVUnwrapping",
   "zh": "UV展开",
   "level": "l3"
  },
  "CAP_415ea25e": {
   "en": "Offline View Selection and Texturing Preparation",
   "zh": "离线视角选择与纹理准备",
   "level": "l2"
  },
  "CAP_a297d13c": {
   "en": "View Selectability Check",
   "zh": "视角可见性判定",
   "level": "l3"
  },
  "CAP_5038c117": {
   "en": "Photo Consistency Data Term Computation",
   "zh": "光度一致性数据项计算",
   "level": "l3"
  },
  "CAP_493ae0e8": {
   "en": "MRF View Label Optimization",
   "zh": "MRF 视角标记优化",
   "level": "l3"
  },
  "CAP_730c1bff": {
   "en": "Texture Patch and Atlas Generation",
   "zh": "纹理补丁生成与图集打包",
   "level": "l2"
  },
  "CAP_2910ebd7": {
   "en": "Global Color Adjustment",
   "zh": "全局颜色调整",
   "level": "l3"
  },
  "CAP_703b30e3": {
   "en": "Local Seam Leveling Poisson",
   "zh": "局部泊松接缝消除",
   "level": "l3"
  },
  "CAP_e3d3301e": {
   "en": "Textured Model Output",
   "zh": "带纹理模型导出",
   "level": "l3"
  },
  "CAP_2ecfcc2b": {
   "en": "Online Color and Geometry Fusion",
   "zh": "在线颜色与几何融合",
   "level": "l2"
  },
  "CAP_55460543": {
   "en": "Voxel Color Weighted Average",
   "zh": "体素颜色加权平均",
   "level": "l3"
  },
  "CAP_4f9cef6e": {
   "en": "Online Pose Correction Reintegration",
   "zh": "在线位姿修正重融合",
   "level": "l2"
  },
  "CAP_f9f4511b": {
   "en": "On-the-fly Surface Re-integration",
   "zh": "在线表面重积分",
   "level": "l3"
  },
  "CAP_5fdfcb25": {
   "en": "Color Channel Subvolume Reintegration",
   "zh": "颜色通道子块重融合",
   "level": "l3"
  },
  "CAP_fae8e391": {
   "en": "Online Surface Extraction",
   "zh": "在线表面提取",
   "level": "l2"
  },
  "CAP_d77b3405": {
   "en": "Vertex Color Mesh Extraction",
   "zh": "顶点色网格提取",
   "level": "l3"
  },
  "CAP_da2a5fe1": {
   "en": "RGB-D Dense SLAM Tracking Pipeline",
   "zh": "RGB-D稠密SLAM跟踪流水线",
   "level": "l3"
  },
  "CAP_aad0cf32": {
   "en": "Dense Volume Mesh Extraction & Rendering",
   "zh": "稠密体积网格提取与渲染",
   "level": "l3"
  },
  "CAP_4728518e": {
   "en": "Chart Decomposition",
   "zh": "chart 拆分",
   "level": "l2"
  },
  "CAP_53d22a7e": {
   "en": "Seam Mesh Cutting",
   "zh": "切缝生成",
   "level": "l3"
  },
  "CAP_7bf925e8": {
   "en": "Mesh 2D Parameterization",
   "zh": "网格 2D 参数化",
   "level": "l2"
  },
  "CAP_11802170": {
   "en": "LSCM Parameterization",
   "zh": "LSCM 最小二乘共形参数化",
   "level": "l3"
  },
  "CAP_1ac055e3": {
   "en": "ARAP Parameterization",
   "zh": "ARAP 局部刚性参数化",
   "level": "l3"
  },
  "CAP_8848c8ee": {
   "en": "Tutte Barycentric Parameterization",
   "zh": "Tutte 重心嵌入参数化",
   "level": "l3"
  },
  "CAP_80c2141b": {
   "en": "Discrete Conformal Authalic Mean Value Parameterization",
   "zh": "离散共形等积均值坐标参数化",
   "level": "l3"
  },
  "CAP_1ab33c49": {
   "en": "Orbifold Tutte Parameterization",
   "zh": "Orbifold Tutte 嵌入参数化",
   "level": "l3"
  },
  "CAP_f3c5c153": {
   "en": "UV Atlas Packing",
   "zh": "UV 图集装箱",
   "level": "l2"
  },
  "CAP_0b18bc7d": {
   "en": "UV Chart Rectangle Packing",
   "zh": "UV chart 矩形装箱",
   "level": "l3"
  },
  "CAP_5f140180": {
   "en": "UV Coordinate Remapping",
   "zh": "UV 坐标重映射",
   "level": "l3"
  },
  "CAP_12068fcd": {
   "en": "Vertex Color to Texture Baking",
   "zh": "顶点色到纹理烘焙",
   "level": "l3"
  },
  "CAP_dd6505fb": {
   "en": "Multi-View Image to Texture Baking",
   "zh": "多视图图像到纹理烘焙",
   "level": "l3"
  },
  "CAP_c68646c2": {
   "en": "Ptex Per-Face Texture Baking",
   "zh": "Ptex 每面纹理烘焙",
   "level": "l3"
  },
  "CAP_c7af2243": {
   "en": "Physics-based Force Texture Rendering",
   "zh": "物理力纹理渲染",
   "level": "l2"
  },
  "CAP_1c911004": {
   "en": "Texture Geometry Modeling and Loading",
   "zh": "纹理几何建模与加载",
   "level": "l3"
  },
  "CAP_5803d8d1": {
   "en": "Texture Force Gradient Computation",
   "zh": "纹理力梯度计算",
   "level": "l3"
  },
  "CAP_6cb475e5": {
   "en": "Data-driven Texture Rendering",
   "zh": "数据驱动纹理渲染",
   "level": "l2"
  },
  "CAP_747781db": {
   "en": "Texture Interaction Acceleration Recording",
   "zh": "纹理交互加速度信号采集",
   "level": "l3"
  },
  "CAP_8c147361": {
   "en": "Texture Signal Model Learning",
   "zh": "纹理信号模型学习",
   "level": "l3"
  },
  "CAP_78cab29f": {
   "en": "Real-time Texture Drive Signal Synthesis",
   "zh": "实时纹理驱动信号合成",
   "level": "l3"
  },
  "CAP_17d9a3f8": {
   "en": "Pen-type Vibration Actuator Driving",
   "zh": "笔式振动致动器驱动",
   "level": "l3"
  },
  "CAP_f36b9249": {
   "en": "Surface Friction Modulation Texture Rendering",
   "zh": "表面摩擦调制纹理渲染",
   "level": "l2"
  },
  "CAP_f822f7b2": {
   "en": "Electrovibration Friction Modulation",
   "zh": "电振动摩擦调制",
   "level": "l3"
  },
  "CAP_8efc9304": {
   "en": "Ultrasonic Squeeze Film Friction Modulation",
   "zh": "超声压膜摩擦调制",
   "level": "l3"
  },
  "CAP_c844ddfa": {
   "en": "Localized Texture Driving via Taxel Array",
   "zh": "分区局部纹理驱动",
   "level": "l3"
  },
  "CAP_e8077c9c": {
   "en": "Multi-modal Combined Driving",
   "zh": "多模联合驱动",
   "level": "l3"
  },
  "CAP_a720dd4e": {
   "en": "Texture-based Geometry Reconstruction",
   "zh": "纹理几何重建",
   "level": "l3"
  },
  "CAP_7711c95d": {
   "en": "Image Preprocessing and Backbone Feature Extraction",
   "zh": "图像预处理与主干特征提取",
   "level": "l2"
  },
  "CAP_f6866cba": {
   "en": "Text Geometry Regression",
   "zh": "文本几何参数回归",
   "level": "l2"
  },
  "CAP_acb12aff": {
   "en": "Pixel Segmentation Map Prediction",
   "zh": "像素分割图预测",
   "level": "l2"
  },
  "CAP_38197cae": {
   "en": "Boundary Proposal and Contour Modeling",
   "zh": "边界 Proposal 与轮廓建模",
   "level": "l2"
  },
  "CAP_60873a8a": {
   "en": "Transformer Set Prediction",
   "zh": "Transformer 集合预测",
   "level": "l2"
  },
  "CAP_282fabee": {
   "en": "Instance Post-processing and Output",
   "zh": "实例后处理与输出生成",
   "level": "l2"
  },
  "CAP_09e5b96e": {
   "en": "PVANet/VGG Backbone Feature Extraction",
   "zh": "PVANet/VGG 主干特征提取",
   "level": "l3"
  },
  "CAP_5dbbced0": {
   "en": "U-Shape Feature Merging",
   "zh": "U 型特征合并",
   "level": "l3"
  },
  "CAP_dd548c44": {
   "en": "EAST Score Map and Geometry Prediction",
   "zh": "EAST 分数图与几何预测",
   "level": "l3"
  },
  "CAP_2014f1a8": {
   "en": "Score Thresholding and Box Decoding",
   "zh": "分数阈值筛选与框解码",
   "level": "l3"
  },
  "CAP_5de968d7": {
   "en": "Locality-Aware NMS",
   "zh": "局部感知 NMS",
   "level": "l3"
  },
  "CAP_dac7eaf6": {
   "en": "ResNet FPN Backbone with Deformable Conv",
   "zh": "ResNet FPN 可变形卷积主干",
   "level": "l3"
  },
  "CAP_157bffb1": {
   "en": "DBNet Feature Fusion and ASF",
   "zh": "DBNet 特征融合与自适应尺度融合",
   "level": "l3"
  },
  "CAP_c76c6e7f": {
   "en": "DBNet Probability and Threshold Map Prediction",
   "zh": "DBNet 概率图与阈值图预测",
   "level": "l3"
  },
  "CAP_4300cac6": {
   "en": "Differentiable Binarization",
   "zh": "可微二值化",
   "level": "l3"
  },
  "CAP_203198f6": {
   "en": "DBNet Vatti Clipping Postprocess",
   "zh": "DBNet Vatti 膨胀还原后处理",
   "level": "l3"
  },
  "CAP_43ed2b03": {
   "en": "ResNet FPN Backbone for Boundary Detection",
   "zh": "边界检测 ResNet FPN 主干",
   "level": "l3"
  },
  "CAP_248dd3c7": {
   "en": "TextBPN Boundary Proposal Generation",
   "zh": "TextBPN 边界 Proposal 生成",
   "level": "l3"
  },
  "CAP_3509214b": {
   "en": "TextBPN Adaptive Boundary Deformation",
   "zh": "TextBPN 自适应边界变形",
   "level": "l3"
  },
  "CAP_dbdb455b": {
   "en": "Contour Iterative Refinement and Polygon Output",
   "zh": "轮廓迭代精修与多边形输出",
   "level": "l3"
  },
  "CAP_60c544eb": {
   "en": "CNN Backbone and Dimension Reduction",
   "zh": "CNN 主干与降维",
   "level": "l3"
  },
  "CAP_5e9849e4": {
   "en": "DETR Transformer Encoder-Decoder",
   "zh": "DETR Transformer 编码-解码",
   "level": "l3"
  },
  "CAP_f94a2861": {
   "en": "DETR Object Query Set Prediction",
   "zh": "DETR Object Query 集合预测",
   "level": "l3"
  },
  "CAP_2d2d615e": {
   "en": "Language Conditioned Detection Decoding",
   "zh": "语言条件检测解码",
   "level": "l2"
  },
  "CAP_4571c922": {
   "en": "Generative Detection Input Preparation",
   "zh": "生成式检测输入准备",
   "level": "l2"
  },
  "CAP_1a7d6fa5": {
   "en": "Generative VLM Sequence Generation",
   "zh": "生成式 VLM 序列生成",
   "level": "l3"
  },
  "CAP_60fe9e77": {
   "en": "Detection Output Parsing",
   "zh": "检测输出解析",
   "level": "l2"
  },
  "CAP_9e66979b": {
   "en": "Detection Result Formatting",
   "zh": "检测结果格式化",
   "level": "l3"
  },
  "CAP_3818f63e": {
   "en": "Unified Cross-Modal Fusion Encoder",
   "zh": "统一跨模态融合编码器",
   "level": "l3"
  },
  "CAP_06a397b5": {
   "en": "Text Image Normalization",
   "zh": "文本图像归一化",
   "level": "l3"
  },
  "CAP_3be5f3c1": {
   "en": "LMDB Dataset and Character Set Loading",
   "zh": "LMDB 数据集与字符表加载",
   "level": "l3"
  },
  "CAP_afefad76": {
   "en": "CRNN Convolutional Feature Extraction",
   "zh": "CRNN 卷积特征提取",
   "level": "l3"
  },
  "CAP_acc39b50": {
   "en": "Feature Map Column Serialization",
   "zh": "特征图按列序列化",
   "level": "l3"
  },
  "CAP_4696a8ab": {
   "en": "Bidirectional LSTM Sequence Modeling",
   "zh": "双向 LSTM 序列建模",
   "level": "l3"
  },
  "CAP_4f5cfb92": {
   "en": "Attention-Based Text Recognition Pipeline",
   "zh": "四阶段注意力文本识别流水线",
   "level": "l2"
  },
  "CAP_e1cb7917": {
   "en": "TPS Thin-Plate Spline Text Rectification",
   "zh": "TPS 薄板样条文本矫正",
   "level": "l3"
  },
  "CAP_707e10ac": {
   "en": "ResNet Text Feature Extraction",
   "zh": "ResNet 文本特征提取",
   "level": "l3"
  },
  "CAP_07d9141f": {
   "en": "Hybrid System Modeling and Safety Specification",
   "zh": "混合系统建模与安全规约",
   "level": "l2"
  },
  "CAP_fe8cbbbc": {
   "en": "Differential Dynamic Logic Axiomatic Proof",
   "zh": "差分动态逻辑公理证明",
   "level": "l3"
  },
  "CAP_a73800e0": {
   "en": "Differential Reasoning and Invariant Discovery",
   "zh": "微分推理与不变式发现",
   "level": "l2"
  },
  "CAP_6ac954be": {
   "en": "Differential Rule Application",
   "zh": "微分规则应用",
   "level": "l3"
  },
  "CAP_252c8bd7": {
   "en": "Pegasus Invariant Generation",
   "zh": "Pegasus 不变式生成",
   "level": "l3"
  },
  "CAP_3d21368f": {
   "en": "Differential Game Logic Multi-Agent Proof",
   "zh": "差分博弈逻辑多智能体证明",
   "level": "l3"
  },
  "CAP_a030e8ea": {
   "en": "Implementation Construction",
   "zh": "实现构造",
   "level": "l2"
  },
  "CAP_c0a797f7": {
   "en": "Sledgehammer Automated Lemma Discovery",
   "zh": "Sledgehammer 自动引理发现",
   "level": "l3"
  },
  "CAP_f275ee3d": {
   "en": "Refinement Proof Construction",
   "zh": "Refinement 证明构造",
   "level": "l2"
  },
  "CAP_10f8633f": {
   "en": "Proof Checking and Extraction",
   "zh": "证明检查与提取",
   "level": "l2"
  },
  "CAP_464b0704": {
   "en": "Program Extraction from Proofs",
   "zh": "证明到程序提取",
   "level": "l3"
  },
  "CAP_5a23a8ee": {
   "en": "Specification Authoring",
   "zh": "规约编写",
   "level": "l2"
  },
  "CAP_a9049303": {
   "en": "Program Pre/Post-Condition Specification",
   "zh": "程序前后置条件规约建模",
   "level": "l3"
  },
  "CAP_c0c5904f": {
   "en": "Loop Invariant and Termination Declaration",
   "zh": "循环不变式与终止度量声明",
   "level": "l3"
  },
  "CAP_fee29acc": {
   "en": "VC Generation and SMT Solving",
   "zh": "VC 生成与 SMT 求解",
   "level": "l2"
  },
  "CAP_358c7346": {
   "en": "Verification Condition Generation",
   "zh": "验证条件自动生成",
   "level": "l3"
  },
  "CAP_f4d566b9": {
   "en": "SMT-Based VC Discharge",
   "zh": "SMT 自动求解验证条件",
   "level": "l3"
  },
  "CAP_d12882d0": {
   "en": "Counterexample Diagnosis and Specification Refinement",
   "zh": "反例诊断与规约修正",
   "level": "l3"
  },
  "CAP_7679cf4d": {
   "en": "Verified Code Multi-Language Compilation",
   "zh": "验证通过代码的多语言编译",
   "level": "l3"
  },
  "CAP_53642feb": {
   "en": "Hardware Modeling",
   "zh": "硬件建模",
   "level": "l3"
  },
  "CAP_c4ae55b1": {
   "en": "Hardware Property Theorem Declaration",
   "zh": "硬件性质定理声明",
   "level": "l3"
  },
  "CAP_41b4aa9c": {
   "en": "Induction-Rewriting Proof",
   "zh": "归纳重写证明",
   "level": "l2"
  },
  "CAP_dc34ecb7": {
   "en": "Induction-Rewriting Automated Proof",
   "zh": "归纳重写自动证明",
   "level": "l3"
  },
  "CAP_3f9321d3": {
   "en": "Lemma Library Organization and Reuse",
   "zh": "引理库组织与复用",
   "level": "l3"
  },
  "CAP_892c2cef": {
   "en": "Computational Reduction Verification",
   "zh": "计算式归约验证",
   "level": "l3"
  },
  "CAP_690b16ca": {
   "en": "Radiometric JPEG Temperature Extraction",
   "zh": "辐射JPEG温度矩阵提取",
   "level": "l3"
  },
  "CAP_9759aa0d": {
   "en": "Emissivity and Atmospheric Correction",
   "zh": "发射率与大气修正",
   "level": "l3"
  },
  "CAP_ce3cbe4b": {
   "en": "ROI Temperature Measurement",
   "zh": "ROI温度测量",
   "level": "l3"
  },
  "CAP_55643b88": {
   "en": "Delta-T Severity Grading",
   "zh": "温差严重度分级",
   "level": "l3"
  },
  "CAP_e19a1568": {
   "en": "Thermography Inspection Report Generation",
   "zh": "热成像检测报告生成",
   "level": "l3"
  },
  "CAP_4a42e773": {
   "en": "Thermal Image Dataset Curation and Labeling",
   "zh": "热图像数据集整备与标注",
   "level": "l3"
  },
  "CAP_056248a8": {
   "en": "Fault Localization and Severity Mapping",
   "zh": "故障定位与严重度映射",
   "level": "l3"
  },
  "CAP_025a873d": {
   "en": "Thermal Image Input and Preprocessing",
   "zh": "热图像输入与预处理",
   "level": "l3"
  },
  "CAP_fba9ac19": {
   "en": "Conversational Diagnosis Report Generation",
   "zh": "对话式诊断报告生成",
   "level": "l3"
  },
  "CAP_575691fd": {
   "en": "YOLOv8 Defect Detection Training",
   "zh": "YOLOv8 缺陷检测训练",
   "level": "l3"
  },
  "CAP_6e7fe84f": {
   "en": "Defect Detection Inference & Post-Processing",
   "zh": "缺陷检测推理与后处理",
   "level": "l3"
  },
  "CAP_2eeacab2": {
   "en": "Multimodal Vision-Language Feature Extraction",
   "zh": "多模态视觉-语言特征提取",
   "level": "l3"
  },
  "CAP_e95086b8": {
   "en": "Anomaly Text Prompt Construction",
   "zh": "异常文本提示构建",
   "level": "l3"
  },
  "CAP_fd96d68b": {
   "en": "LLM Defect Description & Conversational Diagnosis",
   "zh": "LLM 缺陷描述与对话诊断",
   "level": "l3"
  },
  "CAP_462075a2": {
   "en": "Foundation-Model Zero-Shot Defect Detection",
   "zh": "基础模型零样本缺陷检测",
   "level": "l3"
  },
  "CAP_2ec52e7c": {
   "en": "Zero-Shot Anomaly Scoring & Heatmap Generation",
   "zh": "零样本异常打分与热力图生成",
   "level": "l3"
  },
  "CAP_5b49ce46": {
   "en": "Self-supervised Thermal Depth Pipeline",
   "zh": "自监督热红外深度流水线",
   "level": "l2"
  },
  "CAP_9960e63b": {
   "en": "Thermal Image Acquisition",
   "zh": "热红外图像采集",
   "level": "l3"
  },
  "CAP_869cf333": {
   "en": "Thermal Time-consistent Mapping",
   "zh": "热红外时间一致性映射",
   "level": "l3"
  },
  "CAP_d114e64b": {
   "en": "Thermal Photometric Consistency Loss",
   "zh": "热红外光度一致性损失",
   "level": "l3"
  },
  "CAP_5639764d": {
   "en": "Self-supervised Depth Inference",
   "zh": "自监督深度推理",
   "level": "l3"
  },
  "CAP_94d2ca1a": {
   "en": "Cross-modal Transfer Thermal Depth Pipeline",
   "zh": "跨模态迁移热红外深度流水线",
   "level": "l2"
  },
  "CAP_1e5606a3": {
   "en": "RGB-Thermal Paired Data Collection",
   "zh": "RGB-热红外配对数据采集",
   "level": "l3"
  },
  "CAP_649252c9": {
   "en": "CycleGAN RGB to Thermal Translation",
   "zh": "CycleGAN RGB 到热红外翻译",
   "level": "l3"
  },
  "CAP_c0d700f7": {
   "en": "Cross-modal Depth Network Training",
   "zh": "跨模态深度网络训练",
   "level": "l3"
  },
  "CAP_83534eb2": {
   "en": "Cross-modal Thermal Depth Inference",
   "zh": "跨模态热红外深度推理",
   "level": "l3"
  },
  "CAP_5afb4fe6": {
   "en": "Radar-Thermal Fusion Metric Depth Pipeline",
   "zh": "雷达-热红外融合度量深度流水线",
   "level": "l2"
  },
  "CAP_6444cf5c": {
   "en": "Monocular Depth Prediction and Global Scale Alignment",
   "zh": "单目深度预测与全局尺度对齐",
   "level": "l3"
  },
  "CAP_1c3e610d": {
   "en": "Quasi-dense Radar Augmentation",
   "zh": "准稠密雷达增强",
   "level": "l3"
  },
  "CAP_223b6b07": {
   "en": "Scale Map Learner Refinement",
   "zh": "尺度学习器细化",
   "level": "l3"
  },
  "CAP_e4d92d7f": {
   "en": "Supervised Paired Thermal Depth Pipeline",
   "zh": "监督配对热红外深度流水线",
   "level": "l2"
  },
  "CAP_c8676c4a": {
   "en": "Thermal LiDAR Paired Dataset Preparation",
   "zh": "热红外激光雷达配对数据集准备",
   "level": "l3"
  },
  "CAP_5d4da680": {
   "en": "Supervised Thermal Depth Network Training",
   "zh": "监督热红外深度网络训练",
   "level": "l3"
  },
  "CAP_197e104d": {
   "en": "Stereo Thermal Depth Branch",
   "zh": "立体热红外深度分支",
   "level": "l3"
  },
  "CAP_4af538bd": {
   "en": "Thermal Depth Benchmark Evaluation",
   "zh": "热红外深度基准评测",
   "level": "l3"
  },
  "CAP_65829b1b": {
   "en": "Edge Thermal Person Detection Pipeline",
   "zh": "单模态热成像人体检测管线",
   "level": "l2"
  },
  "CAP_8e24c0ab": {
   "en": "Thermal NUC Preprocessing and Pseudo-color Normalization",
   "zh": "热红外 NUC 预处理与伪彩归一化",
   "level": "l3"
  },
  "CAP_324ffd4a": {
   "en": "LLVIP Thermal YOLO Training",
   "zh": "LLVIP 热红外 YOLO 训练",
   "level": "l3"
  },
  "CAP_ea4edec1": {
   "en": "Thermal Person Detection Inference",
   "zh": "热红外人体检测推理",
   "level": "l3"
  },
  "CAP_ae256ad4": {
   "en": "Thermal Alarm Rule",
   "zh": "热成像告警规则",
   "level": "l3"
  },
  "CAP_e5f1008f": {
   "en": "UAV Thermal Human Detection Pipeline",
   "zh": "无人机航拍热成像人体检测管线",
   "level": "l2"
  },
  "CAP_93c23f5c": {
   "en": "UAV Thermal Acquisition and Stabilization",
   "zh": "UAV 热成像采集与电子去抖",
   "level": "l3"
  },
  "CAP_62b87c1d": {
   "en": "Small Target Thermal Person Detection",
   "zh": "小目标热红外人体检测",
   "level": "l3"
  },
  "CAP_ca87cd48": {
   "en": "SAR Dashboard Overlay",
   "zh": "SAR 操作台地图叠加",
   "level": "l3"
  },
  "CAP_c84b4a65": {
   "en": "SubT Thermal Victim Detection Pipeline",
   "zh": "地下救援机器人热源人体检测管线",
   "level": "l2"
  },
  "CAP_e862791d": {
   "en": "Thermal Warm Blob ROI Proposal",
   "zh": "热斑 ROI 提议",
   "level": "l3"
  },
  "CAP_a97a01eb": {
   "en": "Thermal Human Form Classification",
   "zh": "热红外 ROI 人体形态 CNN 分类",
   "level": "l3"
  },
  "CAP_3f5b7e18": {
   "en": "Ultralytics Track API Wrapper",
   "zh": "Ultralytics Track API 封装",
   "level": "l3"
  },
  "CAP_6d624eff": {
   "en": "Intrusion Event Generation",
   "zh": "闯入事件生成",
   "level": "l3"
  },
  "CAP_a5566508": {
   "en": "Parametric Optimization Problem Definition for Thermal Structure",
   "zh": "散热结构参数化优化问题定义",
   "level": "l2"
  },
  "CAP_05d39336": {
   "en": "Thermal Structure Design Variable Parameterization",
   "zh": "散热结构设计变量参数化",
   "level": "l3"
  },
  "CAP_e2528ded": {
   "en": "Thermal Optimization Objective and Constraint Definition",
   "zh": "散热优化目标与约束定义",
   "level": "l3"
  },
  "CAP_c9976893": {
   "en": "DOE Sampling and Sequential Optimization",
   "zh": "DOE采样与序列优化",
   "level": "l2"
  },
  "CAP_b61e4a53": {
   "en": "Topology Optimization Design Domain Modeling",
   "zh": "拓扑优化设计域建模",
   "level": "l2"
  },
  "CAP_ea45dc2c": {
   "en": "Thermal Conduction FEM Design Domain Discretization",
   "zh": "热传导有限元设计域离散",
   "level": "l3"
  },
  "CAP_d3aa5122": {
   "en": "SIMP Sensitivity Computation",
   "zh": "SIMP敏度计算",
   "level": "l3"
  },
  "CAP_599d041a": {
   "en": "CFD Batch Solving for Surrogate Training",
   "zh": "代理训练CFD批量求解",
   "level": "l3"
  },
  "CAP_11f82199": {
   "en": "Parametric Modeling of Thermal Structure",
   "zh": "散热结构参数化建模",
   "level": "l3"
  },
  "CAP_8ec354ab": {
   "en": "Commercial CFD DOE Sampling Execution",
   "zh": "商业CFD_DOE采样执行",
   "level": "l3"
  },
  "CAP_e5b7b743": {
   "en": "Commercial CFD Sequential Optimization Execution",
   "zh": "商业CFD序列优化执行",
   "level": "l3"
  },
  "CAP_b5c9828f": {
   "en": "Optimal Solution Verification and Export",
   "zh": "最优解验证与导出",
   "level": "l3"
  },
  "CAP_d2f65bb7": {
   "en": "Thermal Conduction Design Domain Definition",
   "zh": "热传导设计域定义",
   "level": "l3"
  },
  "CAP_9a1ca694": {
   "en": "SIMP Thermal Topology Optimization Solver",
   "zh": "SIMP热拓扑优化求解",
   "level": "l3"
  },
  "CAP_26af3e66": {
   "en": "Topology Optimization Post-Processing and Manufacturing Constraints",
   "zh": "拓扑优化后处理与制造约束",
   "level": "l3"
  },
  "CAP_c602f8f3": {
   "en": "Bayesian Optimization Execution",
   "zh": "贝叶斯优化执行",
   "level": "l3"
  },
  "CAP_5e848ea8": {
   "en": "PWM Fan Closed-Loop Control",
   "zh": "PWM 风扇闭环控制",
   "level": "l2"
  },
  "CAP_f9a3eaf7": {
   "en": "Ambient Thermal Zone Device Tree Configuration",
   "zh": "环境温度 Thermal Zone 设备树配置",
   "level": "l3"
  },
  "CAP_54e2cd71": {
   "en": "Ambient Temperature Trip Point Configuration",
   "zh": "环境温度 Trip Point 配置",
   "level": "l3"
  },
  "CAP_bca78429": {
   "en": "Liquid Cooling Loop Control",
   "zh": "液冷回路控制",
   "level": "l2"
  },
  "CAP_b2fc00ba": {
   "en": "Peltier TEC Closed-Loop Control",
   "zh": "半导体致冷 PID 闭环控制",
   "level": "l2"
  },
  "CAP_c71a9732": {
   "en": "Thermal Design Target and Resistance Budget Definition",
   "zh": "散热设计目标与热阻预算定义",
   "level": "l3"
  },
  "CAP_f8460626": {
   "en": "Cooling Solution Design Evaluation and Iteration Decision",
   "zh": "散热方案设计评估与迭代决策",
   "level": "l3"
  },
  "CAP_14a21226": {
   "en": "Cooling Structure Design Parameter and Heat Transfer Metric Definition",
   "zh": "冷却结构设计参数与换热指标定义",
   "level": "l3"
  },
  "CAP_9dd6d665": {
   "en": "Heat Transfer Performance Evaluation and Geometry Iteration Decision",
   "zh": "换热性能评估与几何迭代决策",
   "level": "l3"
  },
  "CAP_ef6633bb": {
   "en": "Thermal Network Parametric Sweep and Design Margin Evaluation",
   "zh": "热网络参数化扫描与设计裕度评估",
   "level": "l3"
  },
  "CAP_5a98feba": {
   "en": "Cooling Component Selection and Iteration Decision",
   "zh": "散热组件选型与迭代决策",
   "level": "l3"
  },
  "CAP_7672c072": {
   "en": "PINN Surrogate Thermal Field Prediction and Design Verification Decision",
   "zh": "PINN 代理散热场预测与设计验证决策",
   "level": "l3"
  },
  "CAP_52be49dd": {
   "en": "Thermal Radiometric Image Capture",
   "zh": "热红辐射度图像采集",
   "level": "l3"
  },
  "CAP_68c1a8ce": {
   "en": "Thermal Radiometric Calibration",
   "zh": "热红辐射度标定",
   "level": "l3"
  },
  "CAP_db857be6": {
   "en": "Thermal Point Feature Frontend",
   "zh": "热红外点特征前端",
   "level": "l2"
  },
  "CAP_9d832de9": {
   "en": "Thermal Keypoint Detection",
   "zh": "热红外关键点检测",
   "level": "l3"
  },
  "CAP_fd9886b5": {
   "en": "Radiometric Feature Tracking",
   "zh": "辐射度特征跟踪",
   "level": "l3"
  },
  "CAP_bb6d6bdd": {
   "en": "Thermal Edge Feature Frontend",
   "zh": "热红外边缘前端",
   "level": "l2"
  },
  "CAP_ba7586e1": {
   "en": "Thermal Edge Extraction",
   "zh": "热红外边缘提取",
   "level": "l3"
  },
  "CAP_7b89b5a2": {
   "en": "Edge Distance Field Construction",
   "zh": "边缘距离场构造",
   "level": "l3"
  },
  "CAP_e7ee5cbb": {
   "en": "ADT-KLT Edge Tracking",
   "zh": "ADT-KLT 边缘跟踪",
   "level": "l3"
  },
  "CAP_75c49842": {
   "en": "Thermal Direct Photometric Alignment",
   "zh": "热红外直接 photometric 对齐",
   "level": "l3"
  },
  "CAP_41015cfa": {
   "en": "Sparse Depth Enhanced Direct Tracking",
   "zh": "稀疏深度增强直接跟踪",
   "level": "l3"
  },
  "CAP_86d9bd66": {
   "en": "Thermal Inertial Joint Bundle Adjustment",
   "zh": "热红外-惯性联合优化",
   "level": "l3"
  },
  "CAP_63a93b19": {
   "en": "Thermal Zone DTS Configuration",
   "zh": "热区设备树配置",
   "level": "l3"
  },
  "CAP_66cad59e": {
   "en": "Thermal State Classifier with Hysteresis",
   "zh": "带迟滞的热状态分类器",
   "level": "l3"
  },
  "CAP_a630524d": {
   "en": "Load Reduction Multi-Lever Orchestrator",
   "zh": "负载降级多杠杆编排器",
   "level": "l2"
  },
  "CAP_0edb4275": {
   "en": "Target-Aware Dual Adversarial Fusion",
   "zh": "目标感知双对抗融合",
   "level": "l3"
  },
  "CAP_eee39b4f": {
   "en": "RGB-Thermal Image Synchronization",
   "zh": "RGB-热红外图像同步采集",
   "level": "l2"
  },
  "CAP_fad4f3d5": {
   "en": "RGB-Thermal Frame Synchronization",
   "zh": "RGB-热红外帧对同步",
   "level": "l3"
  },
  "CAP_dae506c4": {
   "en": "Thermal Image Normalization",
   "zh": "热红外图像归一化",
   "level": "l3"
  },
  "CAP_31171fa1": {
   "en": "Cross-Spectral Feature Matching",
   "zh": "跨光谱特征匹配",
   "level": "l2"
  },
  "CAP_b405303a": {
   "en": "Cross-Spectral Correspondence Matching",
   "zh": "跨光谱对应匹配",
   "level": "l3"
  },
  "CAP_a51974ff": {
   "en": "Tightly-Coupled Joint Optimization",
   "zh": "紧耦合联合优化",
   "level": "l2"
  },
  "CAP_c8d2253e": {
   "en": "Sliding Window Joint Optimization",
   "zh": "滑动窗口联合优化",
   "level": "l3"
  },
  "CAP_f09d7f23": {
   "en": "Cross-Spectral Loop Detection",
   "zh": "跨光谱回环检测",
   "level": "l2"
  },
  "CAP_64b4c8a0": {
   "en": "Cross-Spectral Loop Closure Detection",
   "zh": "跨光谱回环闭合检测",
   "level": "l3"
  },
  "CAP_3484fc9f": {
   "en": "Image Quality Assessment",
   "zh": "图像质量评估",
   "level": "l2"
  },
  "CAP_cf744177": {
   "en": "RGB Image Quality Assessment",
   "zh": "RGB图像质量评估",
   "level": "l3"
  },
  "CAP_c3d75a24": {
   "en": "Thermal Image Quality Assessment",
   "zh": "热红外图像质量评估",
   "level": "l3"
  },
  "CAP_4a1cce06": {
   "en": "Environment Context Awareness",
   "zh": "环境上下文感知",
   "level": "l3"
  },
  "CAP_76957b8d": {
   "en": "Modality Selection Decision",
   "zh": "模态选择决策",
   "level": "l3"
  },
  "CAP_9646900d": {
   "en": "Single-Modality Visual Odometry",
   "zh": "单模态视觉里程计",
   "level": "l2"
  },
  "CAP_703b3933": {
   "en": "Frame-to-Frame Matching and Pose Estimation",
   "zh": "帧间匹配与位姿估计",
   "level": "l3"
  },
  "CAP_2804c19e": {
   "en": "Smooth Modality Transition",
   "zh": "平滑模态切换过渡",
   "level": "l2"
  },
  "CAP_b447ad0b": {
   "en": "Covariance-Aware Modality Handover",
   "zh": "协方差感知模态交接",
   "level": "l3"
  },
  "CAP_f2c76f72": {
   "en": "Dual-Stream DINOv2 Feature Extraction",
   "zh": "双流DINOv2特征提取",
   "level": "l2"
  },
  "CAP_c394b273": {
   "en": "Dual-Modal Frame Ingestion",
   "zh": "双模态帧接入",
   "level": "l3"
  },
  "CAP_c3c6db39": {
   "en": "Dual-Stream DINOv2 Encoding",
   "zh": "双流DINOv2编码",
   "level": "l3"
  },
  "CAP_770858b9": {
   "en": "Dynamic RGB-Thermal Fusion",
   "zh": "动态RGB-热红外融合",
   "level": "l3"
  },
  "CAP_045d225c": {
   "en": "Cross-Spectral Descriptor Database",
   "zh": "跨光谱描述子数据库",
   "level": "l3"
  },
  "CAP_600e9053": {
   "en": "Query Inference Pipeline",
   "zh": "查询推理流水线",
   "level": "l2"
  },
  "CAP_f2975d54": {
   "en": "Query Frame Acquisition",
   "zh": "查询帧采集",
   "level": "l3"
  },
  "CAP_6e3bf108": {
   "en": "Query DINOv2 Encoding",
   "zh": "查询DINOv2编码",
   "level": "l3"
  },
  "CAP_5d91669f": {
   "en": "Query Dynamic Fusion Inference",
   "zh": "查询动态融合推理",
   "level": "l3"
  },
  "CAP_8dcd35ad": {
   "en": "Cross-Spectral Retrieval and Verification",
   "zh": "跨光谱检索与几何验证",
   "level": "l2"
  },
  "CAP_3996234e": {
   "en": "Pose Output and Confidence Scoring",
   "zh": "位姿输出与置信度评分",
   "level": "l3"
  },
  "CAP_0538ac19": {
   "en": "Thermal-Visual-Inertial MSCKF Pipeline",
   "zh": "热-视觉-惯性 MSCKF 流水线",
   "level": "l2"
  },
  "CAP_a29b2a04": {
   "en": "Visual-Thermal Cross-Modal Landmark Fusion",
   "zh": "视觉-热红外跨模态路标融合",
   "level": "l3"
  },
  "CAP_1c8afcdd": {
   "en": "Spatial-Entropy-Guided Feature Selection",
   "zh": "空间熵引导特征选择",
   "level": "l3"
  },
  "CAP_878bd47f": {
   "en": "Keyframe Direct Thermal-Inertial Pipeline",
   "zh": "关键帧直接热-惯性流水线",
   "level": "l2"
  },
  "CAP_7c426d99": {
   "en": "Thermal Radiometric Direct Alignment",
   "zh": "热辐射度直接对齐",
   "level": "l3"
  },
  "CAP_50f7ed08": {
   "en": "Thermal Camera Radiometric Imaging Model",
   "zh": "热像仪辐射度成像模型",
   "level": "l3"
  },
  "CAP_cf5ed048": {
   "en": "Thermal-to-Visual GAN Hallucination",
   "zh": "热-视觉 GAN 幻觉生成",
   "level": "l3"
  },
  "CAP_8c0d5f5f": {
   "en": "ThermalPoint Self-Supervised Keypoint Detection",
   "zh": "ThermalPoint 自监督关键点检测",
   "level": "l3"
  },
  "CAP_b738f02f": {
   "en": "Shared CNN Backbone FPN Feature Extraction",
   "zh": "共享 CNN 骨干 FPN 特征提取",
   "level": "l3"
  },
  "CAP_d3d0316d": {
   "en": "Semantic Segmentation Stuff Branch",
   "zh": "语义分割 Stuff 分支",
   "level": "l3"
  },
  "CAP_6b05dc96": {
   "en": "DeepLab Backbone ASPP Decoder Feature",
   "zh": "DeepLab 骨干 ASPP 解码器特征",
   "level": "l3"
  },
  "CAP_28c81de6": {
   "en": "Masked-Attention Transformer Decoder",
   "zh": "掩码注意力 Transformer 解码器",
   "level": "l3"
  },
  "CAP_2f099771": {
   "en": "Text-Prompt Grounded Detection",
   "zh": "文本提示 Grounded 检测",
   "level": "l3"
  },
  "CAP_83e613fd": {
   "en": "SAM Box-Prompt Instance Mask",
   "zh": "SAM 框提示实例掩码",
   "level": "l3"
  },
  "CAP_1fe2ef06": {
   "en": "Stuff Text CLIP Classification",
   "zh": "Stuff 文本 CLIP 分类",
   "level": "l3"
  },
  "CAP_2f70c33c": {
   "en": "Open-Vocabulary Panoptic Composition",
   "zh": "开放词表全景合成",
   "level": "l3"
  },
  "CAP_8ae4119c": {
   "en": "Panoptic-Only Single Training",
   "zh": "仅全景单训练协议",
   "level": "l3"
  },
  "CAP_fc5d09e5": {
   "en": "Mask2Former Image Model Loading",
   "zh": "Mask2Former 图像模型加载",
   "level": "l3"
  },
  "CAP_1827f44d": {
   "en": "Bootstrapped Ensemble Q-Posterior Approximation",
   "zh": "自举集成 Q 后验近似",
   "level": "l2"
  },
  "CAP_bbd97480": {
   "en": "Shared Backbone Multi-Head Q-Network Construction",
   "zh": "共享骨干多头 Q 网络构建",
   "level": "l3"
  },
  "CAP_c85e4625": {
   "en": "Bootstrap Mask Experience Buffer",
   "zh": "Bootstrap 掩码经验回放缓冲",
   "level": "l3"
  },
  "CAP_af1c7aa1": {
   "en": "Episode-Level Posterior Sampling Action Selection",
   "zh": "Episode 级后验采样动作选择",
   "level": "l2"
  },
  "CAP_ab6e3d43": {
   "en": "Uniform Head Sampling and Episode Commitment",
   "zh": "均匀 head 抽样与 episode 承诺",
   "level": "l3"
  },
  "CAP_de8c0a5f": {
   "en": "TD-Driven Bootstrap Posterior Update",
   "zh": "TD 误差驱动的 Bootstrap 后验更新",
   "level": "l2"
  },
  "CAP_58cae15d": {
   "en": "Per-Head DDQN Target Computation",
   "zh": "分 head DDQN 目标计算",
   "level": "l3"
  },
  "CAP_a7ef3f36": {
   "en": "Head-Agreement Convergence Detection",
   "zh": "head 一致性收敛检测",
   "level": "l3"
  },
  "CAP_99368af3": {
   "en": "Thompson Sampling Conjugate Posterior Initialization",
   "zh": "汤普森采样共轭后验初始化",
   "level": "l2"
  },
  "CAP_52b87c7e": {
   "en": "Beta-Bernoulli Uniform Prior Initialization",
   "zh": "Beta-Bernoulli 均匀先验初始化",
   "level": "l3"
  },
  "CAP_2e892ce5": {
   "en": "Single-Step Posterior Sampling Arm Selection",
   "zh": "单步后验采样臂选择",
   "level": "l2"
  },
  "CAP_e3aac1a2": {
   "en": "Per-Arm Posterior Sampling",
   "zh": "逐臂后验采样",
   "level": "l3"
  },
  "CAP_441b8350": {
   "en": "Argmax Sampled Value Arm Selection",
   "zh": "采样值 argmax 臂选择",
   "level": "l3"
  },
  "CAP_1b157e39": {
   "en": "Conjugate Prior Bayesian Posterior Update",
   "zh": "共轭先验贝叶斯后验更新",
   "level": "l2"
  },
  "CAP_eb9cb973": {
   "en": "Beta-Bernoulli Conjugate Closed-Form Update",
   "zh": "Beta-Bernoulli 共轭闭式更新",
   "level": "l3"
  },
  "CAP_4432ecae": {
   "en": "Normal-Normal Conjugate Closed-Form Update",
   "zh": "Normal-Normal 共轭闭式更新",
   "level": "l3"
  },
  "CAP_fdd03b60": {
   "en": "Thompson Sampling Convergence and Best Arm Extraction",
   "zh": "汤普森采样收敛与最优臂提取",
   "level": "l2"
  },
  "CAP_c84de5d5": {
   "en": "Posterior Mean Best Arm Extraction",
   "zh": "后验均值最优臂提取",
   "level": "l3"
  },
  "CAP_c2e8e3d0": {
   "en": "3D Face Scan Preprocessing",
   "zh": "3D人脸扫描预处理",
   "level": "l2"
  },
  "CAP_c4e03e3e": {
   "en": "3D Point Cloud Denoising",
   "zh": "3D点云去噪与ROI裁剪",
   "level": "l3"
  },
  "CAP_58bd282b": {
   "en": "Nose Tip Localization",
   "zh": "鼻尖定位",
   "level": "l3"
  },
  "CAP_7f29fb16": {
   "en": "Gallery Construction and Coarse Filtering",
   "zh": "Gallery构建与粗筛",
   "level": "l2"
  },
  "CAP_ce3e7fe2": {
   "en": "Gallery Template Management",
   "zh": "Gallery模板管理",
   "level": "l3"
  },
  "CAP_54782dd5": {
   "en": "KdTree Coarse Retrieval",
   "zh": "KdTree粗筛检索",
   "level": "l3"
  },
  "CAP_8eef7415": {
   "en": "Top-K Residual Aggregation",
   "zh": "Top-K残差聚合决策",
   "level": "l3"
  },
  "CAP_073ff0b6": {
   "en": "Face Image Normalization",
   "zh": "人脸图像归一化",
   "level": "l3"
  },
  "CAP_3110b260": {
   "en": "3DDFA V2 Parameter Regression",
   "zh": "3DDFA_V2参数回归",
   "level": "l3"
  },
  "CAP_55788ba8": {
   "en": "3DMM Parameter Assembly",
   "zh": "3DMM参数组装",
   "level": "l3"
  },
  "CAP_0458992a": {
   "en": "Shape Coefficient Extraction",
   "zh": "形状系数提取",
   "level": "l3"
  },
  "CAP_d9ac1fe3": {
   "en": "Geometric Map Projection",
   "zh": "几何图投影",
   "level": "l3"
  },
  "CAP_2a54d22a": {
   "en": "Projected Geometric Map CNN Pipeline",
   "zh": "投影几何图CNN推理管道",
   "level": "l2"
  },
  "CAP_79bc4068": {
   "en": "FR3DNet CNN Forward Inference",
   "zh": "FR3DNet CNN前向推理",
   "level": "l3"
  },
  "CAP_104ba004": {
   "en": "Embedding L2 Normalization",
   "zh": "嵌入向量L2归一化",
   "level": "l3"
  },
  "CAP_11708546": {
   "en": "3D Face Embedding Retrieval and Threshold",
   "zh": "3D人脸嵌入检索与阈值判定",
   "level": "l3"
  },
  "CAP_2fd0d313": {
   "en": "Synthetic 3D Face Training Pipeline",
   "zh": "合成3D人脸训练管道",
   "level": "l2"
  },
  "CAP_b6cdcf9e": {
   "en": "Synthetic 3D Face Data Generation",
   "zh": "合成3D人脸数据生成",
   "level": "l3"
  },
  "CAP_f3fbda52": {
   "en": "Metric Learning Fine-tune",
   "zh": "度量学习微调",
   "level": "l3"
  },
  "CAP_932b906d": {
   "en": "2D Keypoint Sequence Detection for 3D Lifting",
   "zh": "3D 提升前置 2D 关键点序列检测",
   "level": "l3"
  },
  "CAP_b89359b8": {
   "en": "2D Coordinate Normalization and Root Centering",
   "zh": "2D 坐标归一化与根居中",
   "level": "l3"
  },
  "CAP_68181077": {
   "en": "Dilated Temporal Conv 3D Pose Lifting",
   "zh": "膨胀时序卷积 3D 姿态提升",
   "level": "l3"
  },
  "CAP_c56ed03b": {
   "en": "Global Trajectory Regression",
   "zh": "全局轨迹回归",
   "level": "l3"
  },
  "CAP_9501b5d8": {
   "en": "Semi-Supervised Back-Projection Training",
   "zh": "半监督反投影训练",
   "level": "l3"
  },
  "CAP_535f4195": {
   "en": "MPJPE P1/P2 Evaluation and Visualization",
   "zh": "MPJPE P1/P2 评测与可视化",
   "level": "l3"
  },
  "CAP_863f8c54": {
   "en": "RGB Human Detection and Crop Normalization",
   "zh": "RGB 人体检测与裁剪归一化",
   "level": "l3"
  },
  "CAP_dd0a3876": {
   "en": "SMPL Parameter End-to-End Regression",
   "zh": "SMPL 参数端到端回归",
   "level": "l3"
  },
  "CAP_fd38ab0a": {
   "en": "SMPLify-in-the-Loop Self-Improving Optimization",
   "zh": "SMPLify-in-the-loop 自改进优化",
   "level": "l3"
  },
  "CAP_28973502": {
   "en": "SMPL Differentiable Forward Layer",
   "zh": "SMPL 可微前向层",
   "level": "l3"
  },
  "CAP_6f7d71d2": {
   "en": "Temporal Motion Discriminator Adversarial Training",
   "zh": "时序运动判别器对抗训练",
   "level": "l3"
  },
  "CAP_4fe56105": {
   "en": "Input Embedding and Positional Encoding",
   "zh": "输入嵌入与位置编码",
   "level": "l3"
  },
  "CAP_bcb3316b": {
   "en": "Spatial Self-Attention Intra-Frame Joint Modeling",
   "zh": "空间自注意力单帧关节建模",
   "level": "l3"
  },
  "CAP_0ffc461a": {
   "en": "Multi-Hypothesis Transformer Depth Ambiguity Modeling",
   "zh": "多假设 Transformer 深度模糊建模",
   "level": "l3"
  },
  "CAP_9350027f": {
   "en": "Pretrain-Finetune Human Motion Representation",
   "zh": "预训练-微调人体运动表示",
   "level": "l3"
  },
  "CAP_56a89ad3": {
   "en": "Multi-View 2D Keypoint Detection",
   "zh": "多视角 2D 关键点检测",
   "level": "l3"
  },
  "CAP_cae55c9b": {
   "en": "Multi-View Heatmap to 3D Voxel Volume Projection",
   "zh": "多视角热图到 3D 体素投影",
   "level": "l3"
  },
  "CAP_0854d847": {
   "en": "3D CNN 3D Joint Position Regression",
   "zh": "3D CNN 3D 关节位置回归",
   "level": "l3"
  },
  "CAP_4a54581f": {
   "en": "Learnable Algebraic Triangulation",
   "zh": "可学习代数三角化",
   "level": "l3"
  },
  "CAP_eea2190d": {
   "en": "3D Root Detection and Multi-Person Instance Association",
   "zh": "3D 根部检测与多人实例关联",
   "level": "l3"
  },
  "CAP_a7d058fb": {
   "en": "PCP and MPJPE Evaluation for Multi-View",
   "zh": "多视角 PCP 与 MPJPE 评测",
   "level": "l3"
  },
  "CAP_4e6d07bc": {
   "en": "3D Feature Encoding",
   "zh": "3D特征编码",
   "level": "l2"
  },
  "CAP_fcce45ba": {
   "en": "3D Detection & Evaluation",
   "zh": "3D检测与评测",
   "level": "l2"
  },
  "CAP_fd585793": {
   "en": "BEV 2D Feature Extraction",
   "zh": "BEV二维特征提取",
   "level": "l3"
  },
  "CAP_b6646e3c": {
   "en": "3D NMS Post-processing",
   "zh": "三维NMS后处理",
   "level": "l3"
  },
  "CAP_3874f371": {
   "en": "3D Detection NMS Evaluation",
   "zh": "三维检测NMS评测",
   "level": "l3"
  },
  "CAP_9de76125": {
   "en": "Indoor Point Cloud Acquisition",
   "zh": "室内点云采集",
   "level": "l3"
  },
  "CAP_3aac2347": {
   "en": "Deep Hough Voting",
   "zh": "深度霍夫投票",
   "level": "l3"
  },
  "CAP_9c58d9a3": {
   "en": "Vote Clustering & Proposal Generation",
   "zh": "投票聚类与候选框生成",
   "level": "l3"
  },
  "CAP_3f802db5": {
   "en": "Multi-view Camera BEV Perception",
   "zh": "多视角相机BEV感知",
   "level": "l2"
  },
  "CAP_51dc2878": {
   "en": "Indoor Hough Voting Detection",
   "zh": "室内Hough投票检测",
   "level": "l2"
  },
  "CAP_0e2fcfa8": {
   "en": "LiDAR 3D Detection Frontend",
   "zh": "LiDAR 3D 检测前端",
   "level": "l2"
  },
  "CAP_cd0ebd7c": {
   "en": "3D Data Association",
   "zh": "3D 数据关联",
   "level": "l2"
  },
  "CAP_a1d75063": {
   "en": "3D MOT Evaluation",
   "zh": "3D MOT 评测",
   "level": "l2"
  },
  "CAP_81a0dc57": {
   "en": "Two-Stage Low-Score Association",
   "zh": "两阶段低分检测关联",
   "level": "l3"
  },
  "CAP_b339bda7": {
   "en": "Object Model Precomputation",
   "zh": "物体模型预计算",
   "level": "l2"
  },
  "CAP_f7d29617": {
   "en": "RGB-D Observation and Localization",
   "zh": "RGB-D 观测采集与物体定位",
   "level": "l2"
  },
  "CAP_8ea9c690": {
   "en": "Pose Hypothesis Generation",
   "zh": "位姿假设生成",
   "level": "l2"
  },
  "CAP_219c160c": {
   "en": "Sparse Viewpoint Model Generation",
   "zh": "稀疏视点模型生成",
   "level": "l3"
  },
  "CAP_2eae1edc": {
   "en": "Pose Hypothesis Hierarchical Scoring",
   "zh": "位姿假设分层打分",
   "level": "l3"
  },
  "CAP_2d5f6a8b": {
   "en": "Monocular Image Acquisition & 2D Detection",
   "zh": "单目图像采集与 2D 检测",
   "level": "l2"
  },
  "CAP_91cc3e72": {
   "en": "Quasi-Dense Feature & 3D Regression",
   "zh": "准稠密特征与 3D 回归",
   "level": "l2"
  },
  "CAP_d24a9038": {
   "en": "2D-3D Joint Association",
   "zh": "2D-3D 联合关联",
   "level": "l2"
  },
  "CAP_1f3631c8": {
   "en": "Trajectory Motion Modeling & Re-ID",
   "zh": "轨迹运动建模与重识别",
   "level": "l2"
  },
  "CAP_ed165949": {
   "en": "Monocular RGB Acquisition & Ego-Motion Compensation",
   "zh": "单目 RGB 采集与自运动补偿",
   "level": "l3"
  },
  "CAP_695bdce3": {
   "en": "Faster R-CNN Multi-Scale RPN Detection",
   "zh": "Faster R-CNN 多尺度 RPN 检测",
   "level": "l3"
  },
  "CAP_d1689664": {
   "en": "Quasi-Dense Proposal Embedding Learning",
   "zh": "准稠密 proposal 嵌入学习",
   "level": "l3"
  },
  "CAP_61e2f4a8": {
   "en": "3D Bounding Box Multi-Task Regression",
   "zh": "3D 包围盒多任务回归",
   "level": "l3"
  },
  "CAP_a9f0eeb4": {
   "en": "2D Appearance-Based Similarity Matching",
   "zh": "2D 外观相似度匹配",
   "level": "l3"
  },
  "CAP_6d589e1e": {
   "en": "3D Depth-Ordering Instance Association",
   "zh": "3D 深度排序实例关联",
   "level": "l3"
  },
  "CAP_18415ac3": {
   "en": "VeloLSTM Trajectory Velocity Learning",
   "zh": "VeloLSTM 轨迹速度学习",
   "level": "l3"
  },
  "CAP_c442fa2d": {
   "en": "Motion-Based Similarity for Re-Identification",
   "zh": "基于运动的重识别相似度",
   "level": "l3"
  },
  "CAP_4c868a08": {
   "en": "AMOTA MOTA HOTA Computation",
   "zh": "AMOTA MOTA HOTA 指标计算",
   "level": "l3"
  },
  "CAP_2c24b5ae": {
   "en": "Sparse Convolution Indoor 3D Panoptic Segmentation",
   "zh": "稀疏卷积室内三维全景分割",
   "level": "l2"
  },
  "CAP_498804fa": {
   "en": "LiDAR Outdoor 3D Panoptic Segmentation",
   "zh": "激光雷达户外三维全景分割",
   "level": "l2"
  },
  "CAP_eb0d4174": {
   "en": "Indoor Point Panoptic Label Synthesis",
   "zh": "室内点云全景标签合成",
   "level": "l3"
  },
  "CAP_4b3e09b2": {
   "en": "Polar BEV LiDAR Projection",
   "zh": "极坐标 BEV 激光投影",
   "level": "l3"
  },
  "CAP_5bc278ba": {
   "en": "LiDAR Instance Center Offset Prediction",
   "zh": "激光实例中心偏移预测",
   "level": "l3"
  },
  "CAP_f06d0d8a": {
   "en": "LiDAR Instance Clustering by Center Voting",
   "zh": "激光实例中心投票聚类",
   "level": "l3"
  },
  "CAP_a7f0402a": {
   "en": "LiDAR Point Panoptic Label Synthesis",
   "zh": "激光点云全景标签合成",
   "level": "l3"
  },
  "CAP_ca23f604": {
   "en": "Semantic Descriptor Construction",
   "zh": "语义描述子构建",
   "level": "l3"
  },
  "CAP_f43b3a31": {
   "en": "Places Descriptor Matching",
   "zh": "places描述子匹配",
   "level": "l3"
  },
  "CAP_3447a11a": {
   "en": "3D Rigid Transform Estimation",
   "zh": "3D刚体变换估计",
   "level": "l3"
  },
  "CAP_b39af340": {
   "en": "Sparse SIFT Feature Matching",
   "zh": "稀疏SIFT特征匹配",
   "level": "l3"
  },
  "CAP_f997fd45": {
   "en": "Dense Geometric Photometric Matching",
   "zh": "稠密几何光度联合匹配",
   "level": "l3"
  },
  "CAP_9ec232c4": {
   "en": "Voxel Block Hashing Allocation & TSDF Fusion",
   "zh": "体素块哈希分配与TSDF积分",
   "level": "l2"
  },
  "CAP_86b9fd1b": {
   "en": "Voxel Block TSDF Weighted Integration",
   "zh": "体素块TSDF加权积分",
   "level": "l3"
  },
  "CAP_291705db": {
   "en": "Block Marching Cubes Cross-Block Stitching",
   "zh": "块级Marching Cubes跨块缝合",
   "level": "l3"
  },
  "CAP_63b362a8": {
   "en": "Real-time RGB-D Surface Measurement and Tracking",
   "zh": "实时RGB-D表面测量与跟踪",
   "level": "l2"
  },
  "CAP_fd4de883": {
   "en": "Hierarchical Global Pose Optimization",
   "zh": "分层全局位姿优化",
   "level": "l2"
  },
  "CAP_2e0feb80": {
   "en": "Local Loop Closure Detection",
   "zh": "Local回环检测",
   "level": "l3"
  },
  "CAP_bceab103": {
   "en": "Surfel Map Fusion and Maintenance",
   "zh": "Surfel地图融合与维护",
   "level": "l2"
  },
  "CAP_c1fb43da": {
   "en": "Surfel Allocation and Spatial Indexing",
   "zh": "Surfel分配与空间索引",
   "level": "l3"
  },
  "CAP_b120e4d9": {
   "en": "Offline SfM Sparse Reconstruction",
   "zh": "离线SfM稀疏重建",
   "level": "l2"
  },
  "CAP_7e5fd1aa": {
   "en": "Multi-View Depth Map Fusion",
   "zh": "多视图深度图融合",
   "level": "l3"
  },
  "CAP_631dcb0a": {
   "en": "Surface Reconstruction from Point Clouds",
   "zh": "点云曲面重建",
   "level": "l2"
  },
  "CAP_47d28c1b": {
   "en": "Mesh Simplification and Cleanup",
   "zh": "网格简化与清理",
   "level": "l3"
  },
  "CAP_d1489548": {
   "en": "3D Gaussian Initialization from SfM Points",
   "zh": "SfM点云3D高斯初始化",
   "level": "l3"
  },
  "CAP_9d850cb4": {
   "en": "Anisotropic 3D Gaussian Parameterization",
   "zh": "各向异性3D高斯参数化",
   "level": "l3"
  },
  "CAP_22fbf5d3": {
   "en": "Adaptive Gaussian Density Control",
   "zh": "自适应高斯密度控制",
   "level": "l2"
  },
  "CAP_2a6191e1": {
   "en": "Real-time Tile-based Splatting Rendering",
   "zh": "实时Tile-based泼溅渲染",
   "level": "l3"
  },
  "CAP_75c84571": {
   "en": "Surface Mesh Extraction from Gaussian Representation",
   "zh": "高斯表示曲面网格提取",
   "level": "l3"
  },
  "CAP_229d04f3": {
   "en": "Sparse Decoder Upsampling",
   "zh": "稀疏解码上采样",
   "level": "l3"
  },
  "CAP_1066d622": {
   "en": "Cylindrical Asymmetric 3D Convolution",
   "zh": "柱体不对称3D卷积",
   "level": "l3"
  },
  "CAP_ddae8193": {
   "en": "Sparse Voxel Model Training and Evaluation",
   "zh": "稀疏体素模型训练与评估",
   "level": "l3"
  },
  "CAP_52461fb8": {
   "en": "Pixel-Shuffle Decoder",
   "zh": "像素混洗解码器",
   "level": "l3"
  },
  "CAP_515f6705": {
   "en": "Per-point MLP Feature Extraction",
   "zh": "逐点 MLP 特征提取",
   "level": "l3"
  },
  "CAP_ddb966ef": {
   "en": "Sparse 3D Backbone Encoding",
   "zh": "稀疏三维主干编码",
   "level": "l2"
  },
  "CAP_e2b327bc": {
   "en": "Context Modeling Strategy Selection",
   "zh": "上下文建模策略选择",
   "level": "l3"
  },
  "CAP_96d973ac": {
   "en": "DDCM Context Aggregation",
   "zh": "DDCM 维度分解上下文聚合",
   "level": "l3"
  },
  "CAP_5bc8acd4": {
   "en": "Sparse Decoding and Point-wise Refinement",
   "zh": "稀疏解码与逐点细化",
   "level": "l2"
  },
  "CAP_7a49794e": {
   "en": "Point-wise Refinement Head",
   "zh": "逐点细化头",
   "level": "l3"
  },
  "CAP_b1a0fd1e": {
   "en": "Semantic Segmentation Evaluation",
   "zh": "语义分割评估",
   "level": "l2"
  },
  "CAP_13baab09": {
   "en": "mIoU Computation and CRF Post-processing",
   "zh": "mIoU 计算与 CRF 后处理",
   "level": "l3"
  },
  "CAP_f9dc161b": {
   "en": "RGB-D Frame and Pose Acquisition",
   "zh": "RGB-D 帧与位姿获取",
   "level": "l2"
  },
  "CAP_52304e24": {
   "en": "Pose Lookup from External SLAM",
   "zh": "外部 SLAM 位姿查询",
   "level": "l3"
  },
  "CAP_b3f1a030": {
   "en": "2D Semantic Source Generation",
   "zh": "二维语义源生成",
   "level": "l2"
  },
  "CAP_fd59bcde": {
   "en": "Label Projection to 3D Points",
   "zh": "标签投影到三维点",
   "level": "l3"
  },
  "CAP_bbd70d51": {
   "en": "Instance Fusion Strategy Selection",
   "zh": "实例融合策略选择",
   "level": "l3"
  },
  "CAP_f5511eb5": {
   "en": "Thing Instance ID Fusion",
   "zh": "实例物体 ID 融合",
   "level": "l3"
  },
  "CAP_8b4a5280": {
   "en": "Per-face Semantic Label Assignment",
   "zh": "面片语义标签赋值",
   "level": "l3"
  },
  "CAP_bf37d0ac": {
   "en": "2D Foundation Model Feature Extraction",
   "zh": "2D 基础模型特征提取",
   "level": "l2"
  },
  "CAP_6aeee49f": {
   "en": "SAM / Mask2Former Mask Proposal Extraction",
   "zh": "SAM/Mask2Former 掩码提案提取",
   "level": "l3"
  },
  "CAP_5e750a7d": {
   "en": "Lifting Method Strategy Selection",
   "zh": "2D-3D 提升方法选择",
   "level": "l3"
  },
  "CAP_39886ba6": {
   "en": "NeRF / 3DGS Language Field Training",
   "zh": "NeRF/3DGS 语言场训练",
   "level": "l3"
  },
  "CAP_c1dd9aee": {
   "en": "3D Language Field Construction",
   "zh": "3D 语言场构建",
   "level": "l2"
  },
  "CAP_102af964": {
   "en": "Grounding Method Strategy Selection",
   "zh": "接地方法选择",
   "level": "l3"
  },
  "CAP_2b595916": {
   "en": "3D Dense Language Field Distillation",
   "zh": "3D 稠密语言场蒸馏",
   "level": "l3"
  },
  "CAP_b3405e06": {
   "en": "Open-Vocabulary Query & 3D Grounding",
   "zh": "开放词表查询与 3D 接地",
   "level": "l2"
  },
  "CAP_6511210a": {
   "en": "Query Output Strategy Selection",
   "zh": "查询输出类型选择",
   "level": "l3"
  },
  "CAP_8ea43e52": {
   "en": "Open-Vocabulary Heat Map Query",
   "zh": "开放词表热图查询",
   "level": "l3"
  },
  "CAP_17972a9f": {
   "en": "3D Relevancy Map Extraction",
   "zh": "3D 相关性图提取",
   "level": "l3"
  },
  "CAP_16449a74": {
   "en": "BLIP2 3D Feature Grounding",
   "zh": "BLIP2 3D特征接地",
   "level": "l3"
  },
  "CAP_4188cd1b": {
   "en": "3D Region Grounding Output",
   "zh": "3D区域定位输出",
   "level": "l3"
  },
  "CAP_968e5515": {
   "en": "Metric Semantic Front-end Orchestration",
   "zh": "度量-语义前端编排",
   "level": "l2"
  },
  "CAP_f89ebea8": {
   "en": "Class Agnostic Multi View Object Association and Fusion",
   "zh": "类别无关多视角物体关联与融合",
   "level": "l3"
  },
  "CAP_952e8477": {
   "en": "Dynamic Agent Node Tracking",
   "zh": "动态智能体节点跟踪",
   "level": "l3"
  },
  "CAP_fd962db6": {
   "en": "3D Places Layer Construction",
   "zh": "3D 场所层构建",
   "level": "l2"
  },
  "CAP_6a8f2249": {
   "en": "3D Scene Graph Edge Construction",
   "zh": "3D 场景图边构建",
   "level": "l2"
  },
  "CAP_c6fb6db8": {
   "en": "Closed Set Spatial Relation Inference",
   "zh": "闭集空间关系推断",
   "level": "l3"
  },
  "CAP_36425dea": {
   "en": "Learned Scene Graph Prediction from Point Cloud",
   "zh": "点云学习派场景图预测",
   "level": "l3"
  },
  "CAP_7a44f915": {
   "en": "Zero-shot VLM 3D Grounding",
   "zh": "零样本VLM三维接地",
   "level": "l2"
  },
  "CAP_b651e96b": {
   "en": "Build Object Lookup Table from Mask3D",
   "zh": "基于Mask3D构建物体查找表",
   "level": "l3"
  },
  "CAP_2860568a": {
   "en": "Render 3D Scene to 2D Image",
   "zh": "三维场景渲染为二维图像",
   "level": "l3"
  },
  "CAP_97fedde2": {
   "en": "Dynamic Image Stitching",
   "zh": "动态图像拼接",
   "level": "l3"
  },
  "CAP_0663540d": {
   "en": "Fuse Image+Text+Query for VLM Input",
   "zh": "图像+空间文本+查询融合为VLM输入",
   "level": "l3"
  },
  "CAP_9e618214": {
   "en": "Deploy VLM Service with vLLM",
   "zh": "vLLM部署2D-VLM服务",
   "level": "l3"
  },
  "CAP_75ecd788": {
   "en": "3D Candidate Detection",
   "zh": "三维候选目标检测",
   "level": "l3"
  },
  "CAP_96de2e77": {
   "en": "Multi-view Ensemble Projection",
   "zh": "多视图集成投影",
   "level": "l3"
  },
  "CAP_13d531de": {
   "en": "Multi-view Image Matching",
   "zh": "多视图图像匹配",
   "level": "l3"
  },
  "CAP_426b1032": {
   "en": "Lookup 3D BBox by Object ID",
   "zh": "按物体ID查找三维边界框",
   "level": "l3"
  },
  "CAP_d5bc72af": {
   "en": "Static Safety Threshold Gating",
   "zh": "静态安全阈值实时门控",
   "level": "l2"
  },
  "CAP_f6658ca2": {
   "en": "Protective Action and Event Reporting",
   "zh": "保护动作触发与故障事件上报",
   "level": "l3"
  },
  "CAP_c4b64bf0": {
   "en": "Moore-Penrose Pseudoinverse Thrust Solver",
   "zh": "Moore-Penrose 伪逆推力求解器",
   "level": "l3"
  },
  "CAP_384bf055": {
   "en": "Thrust Saturation Clipping",
   "zh": "推力饱和限幅",
   "level": "l3"
  },
  "CAP_03cb55b6": {
   "en": "Thruster RPM Thrust Mapping",
   "zh": "推进器 RPM 推力映射",
   "level": "l3"
  },
  "CAP_76493415": {
   "en": "Constrained QP-based Thruster Allocation",
   "zh": "约束二次规划推力分配",
   "level": "l2"
  },
  "CAP_26511e27": {
   "en": "Control Allocation QP Formulation",
   "zh": "控制分配 QP 问题构造",
   "level": "l3"
  },
  "CAP_c1621837": {
   "en": "CasADi SQP Allocation Solver",
   "zh": "CasADi SQP 非线性分配求解器",
   "level": "l3"
  },
  "CAP_f4911474": {
   "en": "Singularity Avoidance Regularization",
   "zh": "奇异规避正则化",
   "level": "l3"
  },
  "CAP_b256e57d": {
   "en": "VIO Visual-Inertial Frontend (Sliding-Window BA)",
   "zh": "视觉惯性前端（滑窗 BA 范式）",
   "level": "l2"
  },
  "CAP_dc420c9a": {
   "en": "Sliding Window State Vector Assembly",
   "zh": "滑窗状态向量组装",
   "level": "l3"
  },
  "CAP_e9cfa459": {
   "en": "Visual Reprojection Residual Factor",
   "zh": "视觉重投影残差因子",
   "level": "l3"
  },
  "CAP_8160b340": {
   "en": "IMU Preintegration Residual Factor",
   "zh": "IMU 预积分残差因子",
   "level": "l3"
  },
  "CAP_84ba05ea": {
   "en": "VIO Keyframe Selection and Window Slide",
   "zh": "VIO 关键帧选择与窗口滑动",
   "level": "l3"
  },
  "CAP_bd671114": {
   "en": "VIO Visual-Inertial Frontend (Factor Graph)",
   "zh": "视觉惯性前端（因子图范式）",
   "level": "l2"
  },
  "CAP_10cb4e91": {
   "en": "Harris Corner and LK Optical Flow Tracking",
   "zh": "Harris 角点与 LK 光流跟踪",
   "level": "l3"
  },
  "CAP_948d8618": {
   "en": "Visual Projection Factor Construction",
   "zh": "视觉投影因子构造",
   "level": "l3"
  },
  "CAP_527e9032": {
   "en": "Marginal Covariance Recovery (VIO)",
   "zh": "边际协方差恢复（VIO）",
   "level": "l3"
  },
  "CAP_4ed446f9": {
   "en": "Fixed-Lag Factor Graph Management",
   "zh": "固定滞后因子图管理",
   "level": "l2"
  },
  "CAP_5c65e19d": {
   "en": "Fixed-Lag Variable Removal",
   "zh": "固定滞后变量删除",
   "level": "l3"
  },
  "CAP_e44be195": {
   "en": "Null Space Feature-Free Measurement",
   "zh": "零空间特征无关测量",
   "level": "l3"
  },
  "CAP_9645793f": {
   "en": "Multi-Representation Feature Handling",
   "zh": "多表示特征处理",
   "level": "l3"
  },
  "CAP_c721d031": {
   "en": "SLAM Feature Update",
   "zh": "SLAM 特征更新",
   "level": "l3"
  },
  "CAP_e205b9a8": {
   "en": "Homotopy Class Filtering and Selection",
   "zh": "同伦等价类过滤与择短",
   "level": "l3"
  },
  "CAP_3773349d": {
   "en": "Ackermann Kinematic Constraint Construction",
   "zh": "阿克曼运动学约束构造",
   "level": "l3"
  },
  "CAP_e4681261": {
   "en": "Event Timeline View Construction",
   "zh": "事件时间线视图构建",
   "level": "l3"
  },
  "CAP_43ba06ca": {
   "en": "Event History Replay to Any Timestamp",
   "zh": "事件历史任意时刻重放",
   "level": "l3"
  },
  "CAP_ecb6d6c4": {
   "en": "LLM Multimodal Timeline Construction",
   "zh": "LLM 多模态时间线构建",
   "level": "l2"
  },
  "CAP_0bcbd676": {
   "en": "Natural Language Timeline Serialization",
   "zh": "自然语言时间线序列化",
   "level": "l3"
  },
  "CAP_bae6fbe9": {
   "en": "Multimodal Timeline Retrospect QA",
   "zh": "多模态时间线回顾问答",
   "level": "l3"
  },
  "CAP_38cbe644": {
   "en": "Time-Optimal NLP Trajectory Optimization",
   "zh": "时间最优 NLP 轨迹优化",
   "level": "l2"
  },
  "CAP_950efde5": {
   "en": "Minimum Snap Vertex Time Setup",
   "zh": "Minimum Snap 顶点与段时间设定",
   "level": "l2"
  },
  "CAP_94c8f87c": {
   "en": "Waypoint Vertex Construction",
   "zh": "Waypoint 顶点构造",
   "level": "l3"
  },
  "CAP_3567556e": {
   "en": "Linear QP Closed-Form Solver",
   "zh": "线性 QP 闭式求解器",
   "level": "l3"
  },
  "CAP_e92fba77": {
   "en": "Trajectory Evaluation And Sampling",
   "zh": "轨迹求值与采样",
   "level": "l3"
  },
  "CAP_3a5f6cb6": {
   "en": "B-Spline Waypoint Knot Setup",
   "zh": "B-Spline Waypoint 与节点设定",
   "level": "l2"
  },
  "CAP_0ea16d9c": {
   "en": "Waypoint Sequence Collection For B-Spline",
   "zh": "B-Spline Waypoint 序列收集",
   "level": "l3"
  },
  "CAP_287cacf1": {
   "en": "Uniform Knot Span Selection",
   "zh": "等距节点间距选择",
   "level": "l3"
  },
  "CAP_9ecd72df": {
   "en": "B-Spline Basis Inversion For Control Points",
   "zh": "B-Spline 基函数反演控制点",
   "level": "l3"
  },
  "CAP_1b3d292f": {
   "en": "Knot Vector Construction",
   "zh": "节点向量构造",
   "level": "l3"
  },
  "CAP_8d3c5ad3": {
   "en": "B-Spline Trajectory Evaluation",
   "zh": "B-Spline 轨迹求值",
   "level": "l2"
  },
  "CAP_6b8f3891": {
   "en": "De Boor-Cox Evaluation",
   "zh": "De Boor-Cox 递归求值",
   "level": "l3"
  },
  "CAP_c32c06ca": {
   "en": "Derivative B-Spline Construction",
   "zh": "导数 B-Spline 构造",
   "level": "l3"
  },
  "CAP_1ab90313": {
   "en": "Iterative Spline Time Parameterization",
   "zh": "迭代样条时间参数化",
   "level": "l3"
  },
  "CAP_f5bbb74c": {
   "en": "Trajectory Collision Recheck After TOTG",
   "zh": "TOTG 后轨迹碰撞重检",
   "level": "l3"
  },
  "CAP_ffe60a4c": {
   "en": "Time Series Reconstruction Architecture Selection",
   "zh": "时序重构模型架构选型",
   "level": "l3"
  },
  "CAP_b1e887ae": {
   "en": "Time Series Sequence Reconstruction Inference",
   "zh": "待测时序序列推理重构",
   "level": "l3"
  },
  "CAP_908564fa": {
   "en": "Time Series Reconstruction Anomaly Scoring",
   "zh": "时序重构异常分数计算",
   "level": "l3"
  },
  "CAP_9bc4e114": {
   "en": "POT Thresholding for Time Series Anomaly",
   "zh": "时序异常 POT 阈值化",
   "level": "l3"
  },
  "CAP_ee29859c": {
   "en": "Time Series Anomaly Labeling and Segment Diagnosis",
   "zh": "时序异常标签判定与段诊断",
   "level": "l3"
  },
  "CAP_5c361a68": {
   "en": "Streaming Time Series Shingle Ingestion",
   "zh": "流式时序 Shingle 延迟向量预处理",
   "level": "l3"
  },
  "CAP_08decf1b": {
   "en": "Streaming Score Smoothing and Likelihood Estimation",
   "zh": "流式分数平滑与 Likelihood 估计",
   "level": "l3"
  },
  "CAP_abed02e0": {
   "en": "Alarm Thresholding and ROS Diagnostic Routing",
   "zh": "告警阈值判定与 ROS 诊断路由",
   "level": "l3"
  },
  "CAP_389ed498": {
   "en": "Demonstration Point Cloud Geometric Encoding",
   "zh": "演示点云几何特征编码",
   "level": "l3"
  },
  "CAP_aaf4bbbb": {
   "en": "Cross-Embodiment Affordance Representation Learning",
   "zh": "跨本体可供性表示学习",
   "level": "l2"
  },
  "CAP_688ba695": {
   "en": "ICP Cross-Embodiment Alignment",
   "zh": "ICP跨本体对齐",
   "level": "l3"
  },
  "CAP_683a6755": {
   "en": "Demonstration Consistency Verification",
   "zh": "演示一致性验证",
   "level": "l3"
  },
  "CAP_ee837b28": {
   "en": "DAG Task Retry Control",
   "zh": "DAG 任务重试控制",
   "level": "l2"
  },
  "CAP_316e77b1": {
   "en": "XCom Data Passing",
   "zh": "XCom 数据传递",
   "level": "l3"
  },
  "CAP_70a5b312": {
   "en": "StateGraph Reducer State Merge",
   "zh": "StateGraph Reducer 状态归约",
   "level": "l3"
  },
  "CAP_6ed14642": {
   "en": "Command API State Update And Control Flow",
   "zh": "Command API 状态更新与控制流",
   "level": "l3"
  },
  "CAP_975814e9": {
   "en": "DFS Decision Tree Multi-Tool Reasoning",
   "zh": "DFS 决策树多工具推理",
   "level": "l3"
  },
  "CAP_d5eca977": {
   "en": "Task-Object Relation Modeling",
   "zh": "任务物体关系建模",
   "level": "l3"
  },
  "CAP_aa540547": {
   "en": "Grasp Candidate Generation for VLM",
   "zh": "VLM 链抓取候选生成",
   "level": "l3"
  },
  "CAP_d4c90b17": {
   "en": "Human Demonstration Retargeting Grasp Pipeline",
   "zh": "人类示范重定向抓取管线",
   "level": "l2"
  },
  "CAP_626d5ce3": {
   "en": "Hand-Object Contact Extraction",
   "zh": "手物接触提取",
   "level": "l3"
  },
  "CAP_95dcbe67": {
   "en": "Functional Grasp Config Output",
   "zh": "功能性抓取配置输出",
   "level": "l3"
  },
  "CAP_db5fdccd": {
   "en": "VLM-Driven Tool Physics Commonsense Reasoning",
   "zh": "VLM驱动工具物理常识推理",
   "level": "l2"
  },
  "CAP_a6c09dc2": {
   "en": "Candidate Action Plan Generation",
   "zh": "候选动作计划生成",
   "level": "l3"
  },
  "CAP_57c19f25": {
   "en": "Symbolic KG Tool Physics Reasoning",
   "zh": "符号知识图谱工具物理推理",
   "level": "l2"
  },
  "CAP_15e4136d": {
   "en": "SWRL Rule-Based Tool Action Inference",
   "zh": "SWRL规则工具动作推理",
   "level": "l3"
  },
  "CAP_40462b59": {
   "en": "OWL Description Logic Consistency Verification",
   "zh": "OWL描述逻辑一致性验证",
   "level": "l3"
  },
  "CAP_3153be49": {
   "en": "CAD-Supervised Instance-Level 6D Pose Estimation",
   "zh": "CAD 监督式实例级 6D 位姿估计",
   "level": "l2"
  },
  "CAP_0b0cb1d2": {
   "en": "RGB-D Tool Instance Detection and Segmentation",
   "zh": "RGB-D 工具实例检测与分割",
   "level": "l3"
  },
  "CAP_387e0cea": {
   "en": "Dynamic Zoom-In RoI Cropping",
   "zh": "动态缩放 RoI 裁剪",
   "level": "l3"
  },
  "CAP_5a7f3fdd": {
   "en": "Dense 2D-3D Correspondence Prediction",
   "zh": "稠密 2D-3D 对应预测",
   "level": "l3"
  },
  "CAP_b27fa4fc": {
   "en": "Surface Region Attention Prediction",
   "zh": "表面区域注意预测",
   "level": "l3"
  },
  "CAP_8657c33e": {
   "en": "LLM-Aided Texture Description Generation",
   "zh": "LLM 辅助纹理描述生成",
   "level": "l3"
  },
  "CAP_8bff728a": {
   "en": "Large-scale Synthetic Data Rendering",
   "zh": "大规模合成训练数据渲染",
   "level": "l3"
  },
  "CAP_e84a0868": {
   "en": "Neural Object Field Training",
   "zh": "神经物体场训练",
   "level": "l3"
  },
  "CAP_ac0dd710": {
   "en": "Neural Field Differentiable Rendering",
   "zh": "神经场可微渲染",
   "level": "l3"
  },
  "CAP_f4168da4": {
   "en": "Render-Compare Pose Refinement",
   "zh": "渲染-比对位姿细化",
   "level": "l3"
  },
  "CAP_da28a603": {
   "en": "Contrastive Learning Pose Scoring",
   "zh": "对比学习位姿评分",
   "level": "l3"
  },
  "CAP_6d8335b1": {
   "en": "Fiducial Marker-Based Tool Pose Estimation",
   "zh": "标记式工具位姿估计",
   "level": "l2"
  },
  "CAP_71d31b37": {
   "en": "Corner Sub-pixel Refinement",
   "zh": "角点亚像素精化",
   "level": "l3"
  },
  "CAP_4a417596": {
   "en": "Multi-marker Board Fusion",
   "zh": "多标记板融合位姿",
   "level": "l3"
  },
  "CAP_543196a7": {
   "en": "Marker-tool Calibration",
   "zh": "标记-工具坐标系标定",
   "level": "l3"
  },
  "CAP_46895aa0": {
   "en": "Tag Family Custom Generation",
   "zh": "标记家族自定义生成",
   "level": "l3"
  },
  "CAP_52030907": {
   "en": "Charuco Board Camera Calibration",
   "zh": "Charuco 板相机标定",
   "level": "l3"
  },
  "CAP_420d58ae": {
   "en": "Category-Level 6D Pose Estimation",
   "zh": "类别级 6D 位姿估计",
   "level": "l2"
  },
  "CAP_d0cff1c9": {
   "en": "Category Shape Prior Learning",
   "zh": "类别形状先验学习",
   "level": "l3"
  },
  "CAP_ab430e11": {
   "en": "NOCS Map Regression",
   "zh": "NOCS 映射像素级回归",
   "level": "l3"
  },
  "CAP_86c512ea": {
   "en": "Umeyama Pose Scale Recovery",
   "zh": "Umeyama 位姿+尺度恢复",
   "level": "l3"
  },
  "CAP_3ca82ec6": {
   "en": "Differentiable Render-Analyze-Synthesis Refinement",
   "zh": "可微渲染分析-合成细化",
   "level": "l3"
  },
  "CAP_92b35025": {
   "en": "Category-Level Temporal Tracking",
   "zh": "类别级时序跟踪",
   "level": "l3"
  },
  "CAP_6ad92565": {
   "en": "Geometric PPF Pose Estimation",
   "zh": "几何点对特征位姿估计",
   "level": "l2"
  },
  "CAP_e0fa1c50": {
   "en": "Point Cloud Downsampling and Normal Estimation",
   "zh": "点云下采样与法线估计",
   "level": "l3"
  },
  "CAP_03ea2a37": {
   "en": "Multi-instance Pose Detection",
   "zh": "多实例位姿检测",
   "level": "l3"
  },
  "CAP_13a3546f": {
   "en": "Closed-Set Tool Detection Pipeline",
   "zh": "封闭词表监督式工具检测管线",
   "level": "l2"
  },
  "CAP_b603bd3c": {
   "en": "Closed-Set Tool Vocabulary Construction",
   "zh": "封闭词表工具类别清单构建",
   "level": "l3"
  },
  "CAP_c02e6fde": {
   "en": "Tool Dataset Loading and Format Conversion",
   "zh": "工具数据集加载与格式转换",
   "level": "l3"
  },
  "CAP_0b1dfb50": {
   "en": "Anchor-Free Tool Detector Training",
   "zh": "Anchor-Free 工具检测器训练",
   "level": "l3"
  },
  "CAP_4f99774a": {
   "en": "Detection Image Preprocessing",
   "zh": "检测图像预处理（Letterbox）",
   "level": "l3"
  },
  "CAP_35800449": {
   "en": "Anchor-Free Tool Detection Inference",
   "zh": "Anchor-Free 工具检测推理",
   "level": "l3"
  },
  "CAP_438f33f2": {
   "en": "Tool Detection Result Formatting",
   "zh": "工具检测结果格式化输出",
   "level": "l3"
  },
  "CAP_6ba56d8d": {
   "en": "Open-Vocabulary VLM Tool Detection Pipeline",
   "zh": "开放词表 VLM 工具检测管线",
   "level": "l2"
  },
  "CAP_48af4bc0": {
   "en": "Tool Text Query Construction",
   "zh": "工具类别文本查询构造",
   "level": "l3"
  },
  "CAP_33998e65": {
   "en": "VLM Perception Sensor Initialization",
   "zh": "VLM 感知传感器初始化",
   "level": "l3"
  },
  "CAP_1ab0607e": {
   "en": "Tool Text Encoding",
   "zh": "工具类别文本编码",
   "level": "l3"
  },
  "CAP_1868f991": {
   "en": "VLM Tool Detection Result Formatting",
   "zh": "VLM 工具检测结果格式化输出",
   "level": "l3"
  },
  "CAP_c8113728": {
   "en": "Affordance Vocabulary Construction",
   "zh": "可供性类别清单构建",
   "level": "l3"
  },
  "CAP_cdf39661": {
   "en": "Affordance Dataset Loading and Format Conversion",
   "zh": "可供性数据集加载与格式转换",
   "level": "l3"
  },
  "CAP_8b3eae39": {
   "en": "Affordance Detector End-to-End Training",
   "zh": "可供性检测器端到端训练",
   "level": "l3"
  },
  "CAP_8ea26a92": {
   "en": "Tool Functional Recognition from Affordance",
   "zh": "基于可供性的工具功能性识别",
   "level": "l3"
  },
  "CAP_f48ba5a5": {
   "en": "Tool Class Hierarchy Definition",
   "zh": "工具类别层次定义",
   "level": "l3"
  },
  "CAP_cac6f915": {
   "en": "SWRL Tool Affordance Rule Definition",
   "zh": "SWRL工具可供性规则定义",
   "level": "l3"
  },
  "CAP_d3d6b30d": {
   "en": "Visual Object Detection Frontend for Ontology",
   "zh": "本体推理视觉检测前端",
   "level": "l3"
  },
  "CAP_3b6ef021": {
   "en": "CNC FMS Tool Switching Scheduling",
   "zh": "CNC FMS 刀具调度",
   "level": "l2"
  },
  "CAP_059612f2": {
   "en": "PDDL Tool Use Temporal Planning",
   "zh": "PDDL 时序工具使用任务规划",
   "level": "l2"
  },
  "CAP_c1ff85ce": {
   "en": "Tool Requirement Matrix Construction",
   "zh": "工序刀具需求矩阵构建",
   "level": "l3"
  },
  "CAP_0e54d29c": {
   "en": "Magazine Capacity CP Model Formulation",
   "zh": "刀库容量约束 CP 建模",
   "level": "l3"
  },
  "CAP_c0ca8145": {
   "en": "KTNS Heuristic Initial Solution",
   "zh": "KTNS 启发式初始解",
   "level": "l3"
  },
  "CAP_cfd6fd22": {
   "en": "Tool Switching Sequence Output",
   "zh": "换刀序列输出",
   "level": "l3"
  },
  "CAP_653f84f4": {
   "en": "CNC Controller Schedule Dispatch",
   "zh": "CNC 控制器调度分发",
   "level": "l3"
  },
  "CAP_7c75cdda": {
   "en": "Tool Domain PDDL Modeling",
   "zh": "工具域 PDDL 建模",
   "level": "l3"
  },
  "CAP_aba7a9ac": {
   "en": "Tool Library Topology Petri Net Construction",
   "zh": "工具库拓扑 Petri 网建模",
   "level": "l3"
  },
  "CAP_2cdac35e": {
   "en": "Tool Library Semantic Indexing",
   "zh": "工具库语义索引",
   "level": "l2"
  },
  "CAP_b68046d7": {
   "en": "Tool Metadata Extraction",
   "zh": "工具元数据提取",
   "level": "l3"
  },
  "CAP_ef575c36": {
   "en": "Tool Description Embedding",
   "zh": "工具描述稠密编码",
   "level": "l3"
  },
  "CAP_87765cd9": {
   "en": "Candidate Tool Retrieval",
   "zh": "候选工具检索",
   "level": "l2"
  },
  "CAP_bceb1341": {
   "en": "Hybrid Tool Retrieval",
   "zh": "混合工具检索",
   "level": "l3"
  },
  "CAP_c67bd56c": {
   "en": "LLM Tool Scoring and Selection",
   "zh": "LLM 工具评分与选择",
   "level": "l2"
  },
  "CAP_7742dc16": {
   "en": "LLM Candidate Tool Scoring",
   "zh": "LLM 候选工具评分",
   "level": "l3"
  },
  "CAP_f2990d4d": {
   "en": "Top-1 Tool Selection",
   "zh": "Top-1 工具选择",
   "level": "l3"
  },
  "CAP_522308aa": {
   "en": "Tool Call Verification",
   "zh": "工具调用验证",
   "level": "l2"
  },
  "CAP_2c1f9ea6": {
   "en": "Tool Call Handoff",
   "zh": "工具调用转交",
   "level": "l3"
  },
  "CAP_9a1a8ce8": {
   "en": "Bandit-based Tool Selection",
   "zh": "基于赌博机的工具选择",
   "level": "l2"
  },
  "CAP_fe0c1cb6": {
   "en": "Tool Bandit Arm Registration",
   "zh": "工具赌博机臂注册",
   "level": "l3"
  },
  "CAP_9fb41b58": {
   "en": "Context Feature Extraction for Tool Selection",
   "zh": "工具选择上下文特征提取",
   "level": "l3"
  },
  "CAP_6389369f": {
   "en": "Tool Execution Outcome Observation",
   "zh": "工具执行结果观测",
   "level": "l3"
  },
  "CAP_96492b32": {
   "en": "Reward Signal Computation",
   "zh": "奖励信号计算",
   "level": "l3"
  },
  "CAP_b4dc754b": {
   "en": "Cost-Quality Model Construction",
   "zh": "成本-质量模型构建",
   "level": "l2"
  },
  "CAP_12024af1": {
   "en": "Tool Cost Profiling",
   "zh": "工具成本画像",
   "level": "l3"
  },
  "CAP_d7b4006b": {
   "en": "Tool Quality Profiling",
   "zh": "工具质量画像",
   "level": "l3"
  },
  "CAP_794b9a06": {
   "en": "Cost-Quality Pareto Front Construction",
   "zh": "成本-质量帕累托前沿构建",
   "level": "l3"
  },
  "CAP_12757def": {
   "en": "Router Model Training",
   "zh": "路由器模型训练",
   "level": "l3"
  },
  "CAP_2204311f": {
   "en": "Cost Threshold Calibration",
   "zh": "成本阈值校准",
   "level": "l3"
  },
  "CAP_26ba40cc": {
   "en": "Cost-Quality Validation",
   "zh": "成本-质量验证",
   "level": "l3"
  },
  "CAP_44039085e811": {
   "en": "Online Routing",
   "zh": "在线路由",
   "level": "l2"
  },
  "CAP_5f429871": {
   "en": "Online Router Scoring",
   "zh": "在线路由器评分",
   "level": "l3"
  },
  "CAP_20acf6cc": {
   "en": "Threshold-based Routing",
   "zh": "阈值路由",
   "level": "l3"
  },
  "CAP_79a5d6fc": {
   "en": "Procedural Tool Operation Pipeline",
   "zh": "程序化工具操作流水线",
   "level": "l2"
  },
  "CAP_15d3bedd": {
   "en": "Tool Operation State Machine",
   "zh": "工具操作状态机",
   "level": "l3"
  },
  "CAP_d8dfa4ab": {
   "en": "Tool Action Execution and Verification",
   "zh": "工具动作执行与完成验证",
   "level": "l3"
  },
  "CAP_c5177009": {
   "en": "BehaviorTree Tool Operation Orchestration",
   "zh": "行为树工具作业编排",
   "level": "l3"
  },
  "CAP_6af2badf": {
   "en": "LLM Composed Tool Use Action Sequence",
   "zh": "LLM组合的工具使用动作序列",
   "level": "l2"
  },
  "CAP_7bfc7f4b": {
   "en": "LLM Tool Use Code Generation",
   "zh": "LLM工具使用代码生成",
   "level": "l3"
  },
  "CAP_bcb8c37a": {
   "en": "Value Map Guided Tool Retreat",
   "zh": "值图引导的工具退避",
   "level": "l3"
  },
  "CAP_8e4d9bd8": {
   "en": "Learned Tool Use Action Chunking Policy",
   "zh": "学习型工具使用动作分块策略",
   "level": "l2"
  },
  "CAP_78d97584": {
   "en": "Tool Use Demonstration Collection",
   "zh": "工具使用演示采集",
   "level": "l3"
  },
  "CAP_eca7d2cc": {
   "en": "Tool Use Action Chunking Policy Training",
   "zh": "工具使用动作分块策略训练",
   "level": "l3"
  },
  "CAP_e9379a21": {
   "en": "Tool Use Action Chunk Inference",
   "zh": "工具使用动作分块推理",
   "level": "l3"
  },
  "CAP_77087184": {
   "en": "Contact Aware Receding Horizon Execution",
   "zh": "接触感知滚动时域执行",
   "level": "l3"
  },
  "CAP_b96b2d88": {
   "en": "Predefined QoS Profile Selection",
   "zh": "预定义QoS Profile选择",
   "level": "l3"
  },
  "CAP_cfddae3e": {
   "en": "RxO Compatibility Matrix Matching",
   "zh": "RxO兼容性矩阵匹配",
   "level": "l3"
  },
  "CAP_98478aa2": {
   "en": "rclcpp Incompatible QoS Event Callback",
   "zh": "rclcpp不兼容QoS事件回调",
   "level": "l3"
  },
  "CAP_eb2a11cc": {
   "en": "rclpy Incompatible QoS Event Callback",
   "zh": "rclpy不兼容QoS事件回调",
   "level": "l3"
  },
  "CAP_a0268ae4": {
   "en": "Incompatible QoS Event Status Structure",
   "zh": "不兼容QoS事件状态结构",
   "level": "l3"
  },
  "CAP_46bd9491": {
   "en": "Default Incompatible QoS Callback Logging",
   "zh": "默认不兼容QoS回调日志",
   "level": "l3"
  },
  "CAP_bcb5f091": {
   "en": "Geometric Skeleton Topological Edge Extraction",
   "zh": "几何骨架拓扑边抽取",
   "level": "l2"
  },
  "CAP_d375f407": {
   "en": "Metric Map Preprocessing for Skeletonization",
   "zh": "骨架化度量地图预处理",
   "level": "l3"
  },
  "CAP_2b4535a2": {
   "en": "Voronoi GVG Skeleton Computation",
   "zh": "Voronoi GVG 骨架计算",
   "level": "l3"
  },
  "CAP_aaae4520": {
   "en": "Geometric Edge Weight Computation",
   "zh": "几何边权重计算",
   "level": "l3"
  },
  "CAP_89ea8dc2": {
   "en": "Online Trajectory Loop Closure Topological Edge Accumulation",
   "zh": "在线轨迹-回环拓扑边累积",
   "level": "l2"
  },
  "CAP_6598fd6e": {
   "en": "Odometry Adjacency Edge Generation",
   "zh": "里程计邻接边生成",
   "level": "l3"
  },
  "CAP_e7490500": {
   "en": "Edge Weight Normalization and Maintenance",
   "zh": "边权重归一化与维护",
   "level": "l3"
  },
  "CAP_23ec9584": {
   "en": "Neural Edge Existence Prediction",
   "zh": "神经边存在性预测",
   "level": "l3"
  },
  "CAP_c81aa65a": {
   "en": "Neural Transition Cost Regression",
   "zh": "神经转移代价回归",
   "level": "l3"
  },
  "CAP_b0f8f987": {
   "en": "Online Edge Maintenance and Downstream Consumption",
   "zh": "在线边维护与下游消费",
   "level": "l3"
  },
  "CAP_75fa5b06": {
   "en": "RGB-D Visual Odometry",
   "zh": "RGB-D视觉里程计",
   "level": "l3"
  },
  "CAP_df61cd3b": {
   "en": "Free-Space Connected Component Clustering",
   "zh": "自由空间连通分量聚类",
   "level": "l3"
  },
  "CAP_2cead122": {
   "en": "Free-Space Voxel Extraction",
   "zh": "自由空间体素提取",
   "level": "l3"
  },
  "CAP_e24f5317": {
   "en": "Inter-Place Connectivity Edge Addition",
   "zh": "place 间连通性边添加",
   "level": "l3"
  },
  "CAP_51829382": {
   "en": "Topological Graph Output",
   "zh": "拓扑图输出",
   "level": "l3"
  },
  "CAP_e3269dfb": {
   "en": "VPR Novel Place Node Creation",
   "zh": "VPR 新地点节点创建",
   "level": "l3"
  },
  "CAP_f0103059": {
   "en": "Visual BoW Signature Encoding",
   "zh": "BoW 视觉签名编码",
   "level": "l3"
  },
  "CAP_6f84cdba": {
   "en": "Voronoi Edge Extraction and Graph Assembly",
   "zh": "Voronoi 边提取与图组装",
   "level": "l3"
  },
  "CAP_7cab3908": {
   "en": "Working and Long-Term Memory Management",
   "zh": "工作记忆与长期记忆管理",
   "level": "l3"
  },
  "CAP_fd89a37f": {
   "en": "Incremental Visual Vocabulary Construction",
   "zh": "增量视觉词典构建",
   "level": "l3"
  },
  "CAP_1cf590ce": {
   "en": "Bayesian Hypothesis Testing",
   "zh": "贝叶斯假设检验",
   "level": "l3"
  },
  "CAP_29162d10": {
   "en": "Local Contrast Normalization",
   "zh": "局部对比度归一化",
   "level": "l3"
  },
  "CAP_245f0dc4": {
   "en": "Sequence Difference Matrix Construction",
   "zh": "序列差分矩阵构建",
   "level": "l3"
  },
  "CAP_50ce1c18": {
   "en": "Inter-Map Loop Closure + Multi-Robot Pose Graph Merge",
   "zh": "跨图闭环识别 + 多机器人位姿图合并",
   "level": "l2"
  },
  "CAP_a609a392": {
   "en": "Global Topological Graph Extraction from Pose Graph",
   "zh": "从位姿图抽取全局拓扑图",
   "level": "l3"
  },
  "CAP_78f76f35": {
   "en": "Pure Topological Graph Matching Merge",
   "zh": "纯拓扑图匹配合并",
   "level": "l2"
  },
  "CAP_7a62fe7b": {
   "en": "Topological Graph Extraction from Local Map",
   "zh": "从局部地图抽取拓扑图",
   "level": "l3"
  },
  "CAP_8c076e83": {
   "en": "Node Structural Signature Computation",
   "zh": "节点结构签名计算",
   "level": "l3"
  },
  "CAP_79a5b152": {
   "en": "Hough Transform Relative Map Alignment",
   "zh": "Hough 变换求相对地图变换",
   "level": "l3"
  },
  "CAP_ee52440b": {
   "en": "Global Topological Graph Output",
   "zh": "全局拓扑图输出",
   "level": "l3"
  },
  "CAP_94f1d673": {
   "en": "Classic Waypoint Topological Navigation",
   "zh": "经典航点拓扑导航",
   "level": "l2"
  },
  "CAP_3dfbf714": {
   "en": "Waypoint Annotation",
   "zh": "航点标注",
   "level": "l3"
  },
  "CAP_e7f247b8": {
   "en": "Influence Zone Generation",
   "zh": "影响区生成",
   "level": "l3"
  },
  "CAP_5d243e8c": {
   "en": "Edge Definition and Action Binding",
   "zh": "边定义与动作绑定",
   "level": "l3"
  },
  "CAP_b0031ed4": {
   "en": "Topological Map Storage",
   "zh": "拓扑图存储",
   "level": "l3"
  },
  "CAP_661ec840": {
   "en": "Topological Localization and Graph Search",
   "zh": "拓扑定位与图搜索",
   "level": "l3"
  },
  "CAP_dc2c9992": {
   "en": "Exploration Trajectory Collection",
   "zh": "探索轨迹采集",
   "level": "l3"
  },
  "CAP_f8ae8e7c": {
   "en": "Observation Embedding Encoding",
   "zh": "观察嵌入编码",
   "level": "l3"
  },
  "CAP_1999c058": {
   "en": "Locomotion Network Action Execution",
   "zh": "局部动作执行",
   "level": "l3"
  },
  "CAP_536a84de": {
   "en": "Semantic Topological Map Navigation",
   "zh": "语义拓扑地图导航",
   "level": "l2"
  },
  "CAP_26a150b3": {
   "en": "Semantic Topological Map Construction",
   "zh": "语义拓扑地图构建",
   "level": "l3"
  },
  "CAP_bfce9e90": {
   "en": "Semantic Annotation",
   "zh": "语义信息标注",
   "level": "l3"
  },
  "CAP_026f4bfe": {
   "en": "Hierarchical Map Organization",
   "zh": "层次化地图组织",
   "level": "l3"
  },
  "CAP_d6a32246": {
   "en": "Semantic Query and Planning",
   "zh": "语义查询与规划",
   "level": "l3"
  },
  "CAP_f592efae": {
   "en": "Hierarchical Topological Path Planning",
   "zh": "层次化拓扑路径规划",
   "level": "l3"
  },
  "CAP_6d561e61": {
   "en": "Classical ROS Topological Navigation Integration",
   "zh": "经典 ROS 拓扑导航集成",
   "level": "l2"
  },
  "CAP_87dc94d2": {
   "en": "Metric-Waypoint Topological Map Construction",
   "zh": "度量航点拓扑地图构建",
   "level": "l3"
  },
  "CAP_56bf82b7": {
   "en": "Appearance-Driven Topological Node Creation",
   "zh": "外观驱动拓扑节点创建",
   "level": "l2"
  },
  "CAP_e96ef2a3": {
   "en": "Rehearsal Similarity Check",
   "zh": "排练相似度判定",
   "level": "l3"
  },
  "CAP_4d9baedc": {
   "en": "Topological Node Insertion (Appearance-driven)",
   "zh": "拓扑节点入图（外观驱动）",
   "level": "l3"
  },
  "CAP_d1e33515": {
   "en": "Three-Tier Memory Management",
   "zh": "STM/WM/LTM 三级记忆管理",
   "level": "l3"
  },
  "CAP_58a5a344": {
   "en": "Metric-Displacement Triggered Topological Node Creation",
   "zh": "度量位移触发拓扑节点创建",
   "level": "l2"
  },
  "CAP_90155095": {
   "en": "Topological Map Distance Threshold Check",
   "zh": "拓扑图距离阈值判定",
   "level": "l3"
  },
  "CAP_e1bee503": {
   "en": "Structural Critical Point Based Topological Node Creation",
   "zh": "结构临界点驱动的拓扑节点创建",
   "level": "l2"
  },
  "CAP_1dc2da97": {
   "en": "Skeletonization and Medial Axis Extraction",
   "zh": "骨架化与中轴提取",
   "level": "l3"
  },
  "CAP_58344c64": {
   "en": "Pixel Graph Construction",
   "zh": "像素图构建",
   "level": "l3"
  },
  "CAP_ad5ac499": {
   "en": "Branch Point and Articulation Point Detection",
   "zh": "分支点与关节点检测",
   "level": "l3"
  },
  "CAP_c90e8179": {
   "en": "Topological Graph Minimization (MST)",
   "zh": "拓扑图精简（最小生成树）",
   "level": "l3"
  },
  "CAP_413c68f1": {
   "en": "Top-Down Human Detection and Cropping",
   "zh": "自顶向下人体检测与裁剪",
   "level": "l2"
  },
  "CAP_364ff1bf": {
   "en": "Heatmap-Based Pose Regression",
   "zh": "基于热图的姿态回归",
   "level": "l2"
  },
  "CAP_00ae5279": {
   "en": "Heatmap Keypoint Decoding and Post-Processing",
   "zh": "热图关键点解码与后处理",
   "level": "l2"
  },
  "CAP_15b49dd7": {
   "en": "Faster R-CNN Person Detection",
   "zh": "Faster R-CNN 人体检测",
   "level": "l3"
  },
  "CAP_08478371": {
   "en": "Bbox Crop and Affine Transform",
   "zh": "边界框裁剪与仿射变换",
   "level": "l3"
  },
  "CAP_1caa458e": {
   "en": "Coordinate Back-Projection to Original Image",
   "zh": "坐标逆投影回原图",
   "level": "l3"
  },
  "CAP_fb4a7122": {
   "en": "HRNet Multi-Resolution Backbone",
   "zh": "HRNet 多分辨率并行骨干网络",
   "level": "l3"
  },
  "CAP_1f9c12cd": {
   "en": "ViTPose Pure ViT Backbone",
   "zh": "ViTPose 纯 ViT 骨干网络",
   "level": "l3"
  },
  "CAP_15fdb68d": {
   "en": "Heatmap Regression Head",
   "zh": "热图回归头",
   "level": "l3"
  },
  "CAP_353574e7": {
   "en": "UDP and DarkPose Subpixel Decoding",
   "zh": "UDP 与 DarkPose 子像素解码",
   "level": "l3"
  },
  "CAP_3e579274": {
   "en": "Flip Ensemble Post-Processing",
   "zh": "翻转集成后处理",
   "level": "l3"
  },
  "CAP_98ba49ac": {
   "en": "Collision Joint Isolation and Safe Response",
   "zh": "碰撞关节隔离与安全响应",
   "level": "l2"
  },
  "CAP_14f39aff": {
   "en": "Time-Series Anomaly Detection Model Training",
   "zh": "时序异常检测模型训练与在线推理",
   "level": "l2"
  },
  "CAP_f87624e1": {
   "en": "PID Anti-windup Saturation",
   "zh": "PID 积分饱和抑制",
   "level": "l3"
  },
  "CAP_303bf074": {
   "en": "Torque Rate Limiter",
   "zh": "力矩变化率限制器",
   "level": "l3"
  },
  "CAP_86dc6fe5": {
   "en": "Active Stop Avoidance Derate",
   "zh": "主动防撞止位降力矩",
   "level": "l3"
  },
  "CAP_f4b547a1": {
   "en": "Force Regulated Grasp Control",
   "zh": "力调节柔顺抓取控制",
   "level": "l3"
  },
  "CAP_9e2f8100": {
   "en": "Grip Force Adjustment Tactile Perception",
   "zh": "握力调节触觉感知",
   "level": "l2"
  },
  "CAP_4aa81c0f": {
   "en": "Incremental Force Adjustment",
   "zh": "增量力调节",
   "level": "l3"
  },
  "CAP_71060277": {
   "en": "Residual Physics Throwing",
   "zh": "残差物理抛掷",
   "level": "l2"
  },
  "CAP_46a86650": {
   "en": "RGB-D Heightmap Construction",
   "zh": "RGB-D 高度图构建",
   "level": "l3"
  },
  "CAP_820333fb": {
   "en": "Multi-Orientation Grasp Sampling",
   "zh": "多朝向抓取采样",
   "level": "l3"
  },
  "CAP_9b83f10d": {
   "en": "Shared Visual Feature Backbone",
   "zh": "共享视觉特征主干",
   "level": "l3"
  },
  "CAP_d99f4abf": {
   "en": "Ballistic Release Velocity Solver",
   "zh": "弹道释放速度求解",
   "level": "l3"
  },
  "CAP_5f4b1c70": {
   "en": "Dense Residual Velocity Predictor",
   "zh": "稠密残差速度预测",
   "level": "l3"
  },
  "CAP_d7ed6ffb": {
   "en": "Joint Argmax Grasp-and-Throw Selection",
   "zh": "抓取-抛掷联合择优",
   "level": "l3"
  },
  "CAP_6f10ea83": {
   "en": "Landing Measurement",
   "zh": "落点测量",
   "level": "l3"
  },
  "CAP_9181e937": {
   "en": "Self-Supervised Online Policy Update",
   "zh": "自监督在线策略更新",
   "level": "l3"
  },
  "CAP_7da3cdf3": {
   "en": "Analytical Trajectory Optimization Throwing",
   "zh": "解析轨迹优化抛掷",
   "level": "l2"
  },
  "CAP_a09f00ea": {
   "en": "Object Parameter Identification",
   "zh": "抛掷物体参数辨识",
   "level": "l3"
  },
  "CAP_6b13999f": {
   "en": "Throwing Contact Dynamics Modeling",
   "zh": "抛掷接触动力学建模",
   "level": "l3"
  },
  "CAP_1689f7c6": {
   "en": "Ballistic Inverse Solver",
   "zh": "弹道逆解器",
   "level": "l3"
  },
  "CAP_2f65d5c9": {
   "en": "High-Speed Vision Feedback",
   "zh": "高速视觉反馈",
   "level": "l3"
  },
  "CAP_b79f3605": {
   "en": "Landing Error Compensator",
   "zh": "落点误差补偿器",
   "level": "l3"
  },
  "CAP_41acc3b7": {
   "en": "SAM DPT Visual Frontend Segmentation",
   "zh": "SAM DPT 视觉前端分割",
   "level": "l3"
  },
  "CAP_8d373eab": {
   "en": "Pose Shape Mesh Output Evaluation",
   "zh": "位姿形状 mesh 输出评测",
   "level": "l3"
  },
  "CAP_cb583823": {
   "en": "Pix2Pix Cross Modal Prediction Network",
   "zh": "Pix2Pix 跨模态预测网络",
   "level": "l3"
  },
  "CAP_39690576": {
   "en": "Visuo Tactile Sim To Real Policy",
   "zh": "视触觉操作策略 Sim-to-Real",
   "level": "l2"
  },
  "CAP_240daaba": {
   "en": "Two Stage Policy Network Construction",
   "zh": "两阶段策略网络构建",
   "level": "l3"
  },
  "CAP_ca4c4035": {
   "en": "Sim To Real Transfer Robot Evaluation",
   "zh": "Sim-to-Real 迁移与真机评估",
   "level": "l3"
  },
  "CAP_e266123c": {
   "en": "Tactile-Vision Quality Feedback Adaptive Wiping",
   "zh": "触觉视觉质量反馈自适应擦拭",
   "level": "l3"
  },
  "CAP_c929c097": {
   "en": "Geometric Scan Shared Autonomy Flipper Pipeline",
   "zh": "几何扫描共享自主摆臂流水线",
   "level": "l2"
  },
  "CAP_3440681f": {
   "en": "Geometric Terrain Segment Extraction",
   "zh": "几何地形片段提取",
   "level": "l3"
  },
  "CAP_faf1ae00": {
   "en": "Obstacle Contact Point Estimation",
   "zh": "障碍接触点估计",
   "level": "l3"
  },
  "CAP_12d5257d": {
   "en": "Flipper Target Angle Geometric Inversion",
   "zh": "摆臂目标角几何反算",
   "level": "l3"
  },
  "CAP_6e2ce0a8": {
   "en": "Flipper Passive Stability Safety Check",
   "zh": "摆臂被动稳定性安全检查",
   "level": "l3"
  },
  "CAP_ede9a7bb": {
   "en": "Offline Lookup Table Safety Filter Pipeline",
   "zh": "离线查表安全过滤流水线",
   "level": "l2"
  },
  "CAP_96024f37": {
   "en": "Online State Estimation and Lookup",
   "zh": "在线状态估计与查表",
   "level": "l3"
  },
  "CAP_3b319e8f": {
   "en": "DRL End-to-End Flipper Policy Pipeline",
   "zh": "DRL 端到端摆臂策略流水线",
   "level": "l2"
  },
  "CAP_74b78ed8": {
   "en": "Local Perceptual Field Construction",
   "zh": "局部感知场构建",
   "level": "l3"
  },
  "CAP_25cf494b": {
   "en": "D3QN Policy Network Inference",
   "zh": "D3QN 策略网络推理",
   "level": "l3"
  },
  "CAP_24a855e6": {
   "en": "MDP Modeling for Flipper Control",
   "zh": "摆臂控制 MDP 建模",
   "level": "l3"
  },
  "CAP_f1a18026": {
   "en": "Pymunk 2D Training Environment",
   "zh": "履带机器人 Pymunk 2D 训练环境构建",
   "level": "l3"
  },
  "CAP_ca336212": {
   "en": "Domain Randomization Sim-to-Real for Tracked Robot",
   "zh": "履带机器人 sim-to-real 域随机化训练",
   "level": "l3"
  },
  "CAP_b6ec29e5": {
   "en": "Wheel Velocity Command Dispatch",
   "zh": "轮速命令分发",
   "level": "l3"
  },
  "CAP_892d05fe": {
   "en": "Differential Drive Odometry Publishing",
   "zh": "差速驱动里程计发布",
   "level": "l3"
  },
  "CAP_4c1d36ec": {
   "en": "Skid Steer Frame And Servo Configuration",
   "zh": "滑移转向帧型与舵机配置",
   "level": "l3"
  },
  "CAP_64e582f6": {
   "en": "Skid Steer Throttle Mixing",
   "zh": "滑移转向油门混合",
   "level": "l3"
  },
  "CAP_fb073ab8": {
   "en": "Kinematic EKF Slip Estimation Pipeline",
   "zh": "履带运动学 EKF 滑移估计流水线",
   "level": "l2"
  },
  "CAP_f5113999": {
   "en": "Slip Residual Construction",
   "zh": "滑移率残差构造",
   "level": "l3"
  },
  "CAP_ad5e5a9a": {
   "en": "Slip Rate Feedforward Compensation",
   "zh": "滑移率前馈补偿",
   "level": "l3"
  },
  "CAP_57938e53": {
   "en": "Perception-Based Slip Detection Pipeline",
   "zh": "感知式滑移检测流水线",
   "level": "l2"
  },
  "CAP_9317216f": {
   "en": "Tracked Theoretical Displacement Computation",
   "zh": "履带理论位移计算",
   "level": "l3"
  },
  "CAP_e24a3f81": {
   "en": "Visual Slip Rate Residual Computation",
   "zh": "视觉滑移率残差计算",
   "level": "l3"
  },
  "CAP_e41f83ad": {
   "en": "Odometry Drift Correction Output",
   "zh": "里程计漂移修正输出",
   "level": "l3"
  },
  "CAP_686d3f1b": {
   "en": "Terramechanics Observer Slip Pipeline",
   "zh": "地面力学观测器滑移估计流水线",
   "level": "l2"
  },
  "CAP_c5fe6bc2": {
   "en": "Janosi-Hanamoto Shear Modeling",
   "zh": "Janosi-Hanamoto 剪切建模",
   "level": "l3"
  },
  "CAP_1febc62d": {
   "en": "Track Traction Force Modeling",
   "zh": "履带牵引力建模",
   "level": "l3"
  },
  "CAP_035f5c4b": {
   "en": "Online Soil Parameter Identification",
   "zh": "土壤参数在线辨识",
   "level": "l3"
  },
  "CAP_b3aaec49": {
   "en": "Optimal Slip Ratio Solver",
   "zh": "最优滑移率求解",
   "level": "l3"
  },
  "CAP_4c8a5498": {
   "en": "Traction Feedforward Compensation",
   "zh": "牵引力前馈补偿",
   "level": "l3"
  },
  "CAP_7f010222": {
   "en": "Learning-Based Slip Prediction Pipeline",
   "zh": "学习式滑移预测流水线",
   "level": "l2"
  },
  "CAP_3d65811d": {
   "en": "Slip Ratio Ground Truth Labeling",
   "zh": "滑移率真值标签生成",
   "level": "l3"
  },
  "CAP_649c4fdd": {
   "en": "Proprioceptive Slip Feature Engineering",
   "zh": "本体感知滑移特征工程",
   "level": "l3"
  },
  "CAP_ec78d802": {
   "en": "Risk-Aware Slip Prediction Output",
   "zh": "风险感知滑移预测输出",
   "level": "l3"
  },
  "CAP_16388fd7": {
   "en": "Robust Control Slip Compensation Pipeline",
   "zh": "鲁棒控制滑移补偿流水线",
   "level": "l2"
  },
  "CAP_10e69cc9": {
   "en": "Tracked Slip Dynamics Modeling",
   "zh": "含滑移的履带动力学建模",
   "level": "l3"
  },
  "CAP_5abe1f69": {
   "en": "Adaptive Slip Rate Observer",
   "zh": "自适应滑移率观测器",
   "level": "l3"
  },
  "CAP_b126d581": {
   "en": "Nonsingular Terminal Sliding Mode Control",
   "zh": "非奇异终端滑模控制",
   "level": "l3"
  },
  "CAP_66a1436f": {
   "en": "Control Command Limiting and Smoothing",
   "zh": "控制指令限幅与平滑",
   "level": "l3"
  },
  "CAP_a67831f9": {
   "en": "Sliding Mode Equivalent Control",
   "zh": "滑模等效控制",
   "level": "l3"
  },
  "CAP_93aaff4d": {
   "en": "Robust Control Law Synthesis",
   "zh": "鲁棒控制律综合",
   "level": "l3"
  },
  "CAP_1fc61724": {
   "en": "Force-Angle Stability Margin Throttling",
   "zh": "Force-Angle 倾覆稳定性裕度闭环速度节制",
   "level": "l2"
  },
  "CAP_0bb40d93": {
   "en": "Active Articulation Posture Control",
   "zh": "主动铰接姿态调整坡面通过控制",
   "level": "l2"
  },
  "CAP_5ff2728e": {
   "en": "IMU Attitude Fusion",
   "zh": "IMU 姿态融合估计",
   "level": "l3"
  },
  "CAP_a986b248": {
   "en": "Tracked Support Polygon Construction",
   "zh": "履带支撑多边形构造",
   "level": "l3"
  },
  "CAP_1cc9467e": {
   "en": "Stability Margin Threshold Judgment",
   "zh": "稳定性裕度阈值判定",
   "level": "l3"
  },
  "CAP_1797ed54": {
   "en": "Velocity Scale Composition",
   "zh": "速度缩放因子合成",
   "level": "l3"
  },
  "CAP_6cdf741f": {
   "en": "Safety Velocity Clamping",
   "zh": "安全速度指令裁剪",
   "level": "l3"
  },
  "CAP_6336b0cd": {
   "en": "Flipper Articulation Posture Planning",
   "zh": "Flipper 铰接姿态规划",
   "level": "l3"
  },
  "CAP_1dff2c64": {
   "en": "Flipper Inverse Kinematics",
   "zh": "Flipper 逆运动学",
   "level": "l3"
  },
  "CAP_a30c2234": {
   "en": "Articulation Feedback and Coordination",
   "zh": "铰接执行反馈与协调",
   "level": "l3"
  },
  "CAP_5d701e24": {
   "en": "Path Output and Controller Handoff",
   "zh": "路径输出与控制器对接",
   "level": "l3"
  },
  "CAP_edf142a5": {
   "en": "Terrain Aware Velocity Scaling",
   "zh": "地形感知速度缩放",
   "level": "l2"
  },
  "CAP_4ab08a89": {
   "en": "Terramechanics Driving Force Optimization",
   "zh": "地面力学驱动力优化",
   "level": "l2"
  },
  "CAP_6a3a2e9c": {
   "en": "Slip Sinkage Estimation",
   "zh": "滑移下陷估计",
   "level": "l3"
  },
  "CAP_6a12ccd0": {
   "en": "Drawbar Pull Prediction",
   "zh": "挂钩牵引力预测",
   "level": "l3"
  },
  "CAP_bd7bc484": {
   "en": "Driving Force Limit Optimization",
   "zh": "驱动力限幅优化",
   "level": "l3"
  },
  "CAP_432836be": {
   "en": "Geometric Centroid-Constrained Trench Crossing Pipeline",
   "zh": "几何质心约束越沟控制流水线",
   "level": "l2"
  },
  "CAP_3191250c": {
   "en": "Centroid Trajectory Circle Modeling",
   "zh": "质心轨迹圆建模",
   "level": "l3"
  },
  "CAP_34505ddf": {
   "en": "Trench Crossing Feasibility Geometric Criterion",
   "zh": "越沟可行性几何判据",
   "level": "l3"
  },
  "CAP_7dbe9a41": {
   "en": "Flipper Angle Scheduling Sequence Generation",
   "zh": "摆臂角调度序列生成",
   "level": "l3"
  },
  "CAP_cae2ed73": {
   "en": "Negative Obstacle Perception-Driven Shared Autonomy Trench Crossing Pipeline",
   "zh": "负障碍感知共享自主越沟控制流水线",
   "level": "l2"
  },
  "CAP_491fd0a6": {
   "en": "Trench Width and Depth Online Estimation",
   "zh": "越沟宽度深度在线估计",
   "level": "l3"
  },
  "CAP_f180d1ee": {
   "en": "Shared Autonomy Flipper Auto-Adjustment",
   "zh": "共享自主摆臂自动调整",
   "level": "l3"
  },
  "CAP_fde6e7ce": {
   "en": "Trench Crossing Posture Stability Monitoring",
   "zh": "越沟过程姿态稳定监测",
   "level": "l3"
  },
  "CAP_fd37e044": {
   "en": "Learning Based End-to-End Trench Crossing Pipeline",
   "zh": "学习型端到端越沟控制流水线",
   "level": "l2"
  },
  "CAP_0a9613ad": {
   "en": "Trench Crossing Training Scenario Construction",
   "zh": "越沟训练场景构建",
   "level": "l3"
  },
  "CAP_13c4c640": {
   "en": "D3QN Discrete Flipper Control Learning",
   "zh": "D3QN 离散摆臂控制学习",
   "level": "l3"
  },
  "CAP_24be9e0b": {
   "en": "HRVO Simulator And Goal Setup",
   "zh": "HRVO仿真器与目标设定",
   "level": "l3"
  },
  "CAP_912b9243": {
   "en": "HRVO Hybrid Half-plane And Candidate Generation",
   "zh": "HRVO混合半平面与候选生成",
   "level": "l3"
  },
  "CAP_27ec3d63": {
   "en": "HRVO Velocity Selection And Drive",
   "zh": "HRVO速度选择与驱动",
   "level": "l3"
  },
  "CAP_17c0fb09": {
   "en": "VO Simulation State Feedback",
   "zh": "VO仿真状态反馈",
   "level": "l3"
  },
  "CAP_ce771126": {
   "en": "RNN Velocity Policy",
   "zh": "RNN速度策略",
   "level": "l3"
  },
  "CAP_3fccd67a": {
   "en": "VO Traffic Flow Metric Extraction",
   "zh": "VO交通流指标提取",
   "level": "l3"
  },
  "CAP_2b86ddda": {
   "en": "MAPF Centralized Traffic Evaluation",
   "zh": "MAPF集中式交通评估",
   "level": "l2"
  },
  "CAP_46c52b86": {
   "en": "MAPF Grid Solution Replay",
   "zh": "MAPF网格解回放",
   "level": "l3"
  },
  "CAP_20920c48": {
   "en": "MAPF Traffic Metric Extraction",
   "zh": "MAPF交通流指标提取",
   "level": "l3"
  },
  "CAP_a729754e": {
   "en": "MAPF Solution Stats Reporting",
   "zh": "MAPF求解结果统计上报",
   "level": "l3"
  },
  "CAP_dcf794f1": {
   "en": "SFM Multi-Agent Traffic Simulation",
   "zh": "社会力多智能体交通流仿真",
   "level": "l2"
  },
  "CAP_ac0ed4fa": {
   "en": "SFM Simulator And Scenario Setup",
   "zh": "SFM仿真器与场景设定",
   "level": "l3"
  },
  "CAP_86a0bcce": {
   "en": "SFM Traffic Metric Extraction",
   "zh": "SFM交通流指标提取",
   "level": "l3"
  },
  "CAP_6f71a2cb": {
   "en": "SFM Trajectory Export And Visualization",
   "zh": "SFM轨迹导出与可视化",
   "level": "l3"
  },
  "CAP_1378f0ab": {
   "en": "RL RVO Traffic Flow Evaluation",
   "zh": "RL+RVO学习型交通流评估",
   "level": "l2"
  },
  "CAP_36cdd888": {
   "en": "RL Gym Env Step",
   "zh": "RL Gym环境步进",
   "level": "l3"
  },
  "CAP_dd95482f": {
   "en": "RL Traffic Flow Metric Extraction",
   "zh": "RL交通流指标提取",
   "level": "l3"
  },
  "CAP_4cf03985": {
   "en": "Sidecar L7 Traffic Management",
   "zh": "Sidecar 代理 L7 流量管理",
   "level": "l2"
  },
  "CAP_cf16580e": {
   "en": "Declarative HTTP Route Declaration",
   "zh": "声明式 HTTP 路由规则声明",
   "level": "l3"
  },
  "CAP_e4edf571": {
   "en": "Service Subset and LB Policy Definition",
   "zh": "服务子集与负载均衡策略定义",
   "level": "l3"
  },
  "CAP_1b6c1326": {
   "en": "Envoy L7 Routing and Endpoint LB",
   "zh": "Envoy L7 路由与端点负载均衡",
   "level": "l3"
  },
  "CAP_8adc318e": {
   "en": "eBPF Kernel L4 Load Balancing",
   "zh": "eBPF 内核 L4 负载均衡",
   "level": "l2"
  },
  "CAP_a1f6f077": {
   "en": "eBPF XDP TC Hook Attachment",
   "zh": "eBPF XDP/TC hook 挂载",
   "level": "l3"
  },
  "CAP_912ac9d3": {
   "en": "L4 Service BPF Map Lookup",
   "zh": "L4 服务 BPF map 查找",
   "level": "l3"
  },
  "CAP_484346b6": {
   "en": "Maglev Consistent Hashing Backend Selection",
   "zh": "Maglev 一致性哈希后端选择",
   "level": "l3"
  },
  "CAP_d5a9dc9f": {
   "en": "Direct Server Return Forwarding",
   "zh": "直接服务器返回转发",
   "level": "l3"
  },
  "CAP_58fd78fc": {
   "en": "Client-Side gRPC Load Balancing",
   "zh": "客户端 gRPC 负载均衡",
   "level": "l2"
  },
  "CAP_d6d7b1c8": {
   "en": "Subchannel Management and Connectivity State",
   "zh": "Subchannel 管理与连接态",
   "level": "l3"
  },
  "CAP_dcde91c2": {
   "en": "Per-Call LB Policy Selection",
   "zh": "每次调用 LB 策略选择",
   "level": "l3"
  },
  "CAP_31c22edc": {
   "en": "gRPC xDS Proxyless Service Mesh",
   "zh": "gRPC xDS Proxyless 服务网格",
   "level": "l3"
  },
  "CAP_e249a420": {
   "en": "Proxyless Hop Elimination Benefit",
   "zh": "无代理跳消除收益",
   "level": "l3"
  },
  "CAP_50d6e5aa": {
   "en": "Conditioned Trajectory Sampling",
   "zh": "条件轨迹采样",
   "level": "l3"
  },
  "CAP_1f2b9e7d": {
   "en": "Augmented Policy Training",
   "zh": "增广策略训练",
   "level": "l3"
  },
  "CAP_ac6dc8a7": {
   "en": "Procedural Trajectory Augmentation Pipeline",
   "zh": "程序化轨迹增广流水线",
   "level": "l2"
  },
  "CAP_1edb975c": {
   "en": "Source Demo Segmentation",
   "zh": "源演示片段分割",
   "level": "l3"
  },
  "CAP_84493f6a": {
   "en": "Selection Strategy Run",
   "zh": "选择策略执行",
   "level": "l3"
  },
  "CAP_67945be9": {
   "en": "Object-Centric Pose Transform",
   "zh": "物体中心位姿变换",
   "level": "l3"
  },
  "CAP_30fba719": {
   "en": "Waypoint Controller Replay",
   "zh": "Waypoint 控制器重放",
   "level": "l3"
  },
  "CAP_cc0d90a5": {
   "en": "Cross-Modal Retargeting Trajectory Generation Pipeline",
   "zh": "跨模态重定向轨迹生成流水线",
   "level": "l2"
  },
  "CAP_ed244bd7": {
   "en": "Human Motion Loading",
   "zh": "人类动作数据加载",
   "level": "l3"
  },
  "CAP_993fb305": {
   "en": "RL Tracking Policy Training",
   "zh": "RL 跟踪策略训练",
   "level": "l3"
  },
  "CAP_97423c6a": {
   "en": "Rollout Trajectory Collection",
   "zh": "Rollout 轨迹采集",
   "level": "l3"
  },
  "CAP_5b6ea3fc": {
   "en": "LLM-driven Trajectory Synthesis Pipeline",
   "zh": "LLM 代码合成轨迹流水线",
   "level": "l2"
  },
  "CAP_6c2b00e4": {
   "en": "VoxPoser Trajectory Dataset Collection",
   "zh": "VoxPoser 轨迹数据集采集",
   "level": "l3"
  },
  "CAP_25e6511f": {
   "en": "BC Policy Training on LLM-Synthesized Data",
   "zh": "LLM 合成数据上 BC 策略训练",
   "level": "l3"
  },
  "CAP_921d7e51": {
   "en": "Unified Parametrization Modeling",
   "zh": "几何路径与约束统一参数化建模",
   "level": "l3"
  },
  "CAP_12daa5ea": {
   "en": "Reachability-Based Feasibility Determination",
   "zh": "基于可达性的可行性判定",
   "level": "l3"
  },
  "CAP_aa30f79e": {
   "en": "Feasible/Controllable Sets Diagnostic Visualization",
   "zh": "可行集与可控集可视化诊断",
   "level": "l3"
  },
  "CAP_dc9e69c5": {
   "en": "Jerk-Limited Input Validation",
   "zh": "jerk 限制输入验证",
   "level": "l3"
  },
  "CAP_7a6b55bd": {
   "en": "Future Step Constraint Violation Detection",
   "zh": "未来步约束违反检测",
   "level": "l3"
  },
  "CAP_92d8d306": {
   "en": "Pedestrian Track State Subscription",
   "zh": "行人跟踪状态订阅",
   "level": "l3"
  },
  "CAP_074bf137": {
   "en": "SpaceInformation Validity Binding",
   "zh": "空间信息合法性绑定",
   "level": "l3"
  },
  "CAP_60a04a9b": {
   "en": "Partial Shortcut Refinement",
   "zh": "局部短路细化",
   "level": "l3"
  },
  "CAP_d1256e3b": {
   "en": "B-spline Geometric Smoothing",
   "zh": "B 样条几何平滑",
   "level": "l3"
  },
  "CAP_dc765713": {
   "en": "Geometric Path Output",
   "zh": "几何路径输出",
   "level": "l3"
  },
  "CAP_72bdd7ab": {
   "en": "Global Path Ingestion",
   "zh": "全局路径接收",
   "level": "l3"
  },
  "CAP_454976cb": {
   "en": "Costmap Footprint Binding",
   "zh": "代价地图与足迹绑定",
   "level": "l3"
  },
  "CAP_43bcd53f": {
   "en": "Simple Smoother Optimization",
   "zh": "简单平滑器优化",
   "level": "l3"
  },
  "CAP_b89f3e23": {
   "en": "Smoothed Path Verification",
   "zh": "平滑路径验证",
   "level": "l3"
  },
  "CAP_fd9c723b": {
   "en": "Smoothed Path Publishing",
   "zh": "平滑路径发布",
   "level": "l3"
  },
  "CAP_a3bce10b": {
   "en": "Naive B-spline Trajectory Initialization",
   "zh": "朴素 B 样条轨迹初始化",
   "level": "l3"
  },
  "CAP_afdc14e1": {
   "en": "Collision Segment Detection and Rebound Constraint",
   "zh": "碰撞段检测与反弹约束构造",
   "level": "l3"
  },
  "CAP_f412b0d7": {
   "en": "LBFGS Gradient Optimization with Anisotropic Refinement",
   "zh": "L-BFGS 梯度优化与各向异性细化",
   "level": "l3"
  },
  "CAP_17e4d032": {
   "en": "Transfer Learning for Robotics",
   "zh": "机器人迁移学习",
   "level": "l1"
  },
  "CAP_3581a7ae": {
   "en": "Multi-Task Demonstration Collection with Shared Autonomy",
   "zh": "多任务演示收集与共享自主干预",
   "level": "l3"
  },
  "CAP_2cb43b8b": {
   "en": "LeggedGymRLTraining",
   "zh": "腿式机器人RL训练",
   "level": "l3"
  },
  "CAP_c3da5bd5": {
   "en": "RealRobotControllerConfig",
   "zh": "真机控制器配置",
   "level": "l3"
  },
  "CAP_1cd96878": {
   "en": "Online-Adaptive Environment Encoder Inference",
   "zh": "在线自适应环境编码器推断",
   "level": "l3"
  },
  "CAP_f146621c": {
   "en": "Iterative Real-World Performance Evaluation and Adaptation",
   "zh": "真机性能迭代评估与自适应",
   "level": "l3"
  },
  "CAP_84913312": {
   "en": "Pixel Decoder Multi-Scale Fusion",
   "zh": "像素解码器多尺度融合",
   "level": "l3"
  },
  "CAP_a6a7d2ec": {
   "en": "Mask DINO Detection-Enhanced Pipeline",
   "zh": "Mask DINO 检测增强实例分割流水线",
   "level": "l2"
  },
  "CAP_b7cd0603": {
   "en": "Box Mask Parallel Prediction",
   "zh": "框掩并行预测",
   "level": "l3"
  },
  "CAP_6fdcc078": {
   "en": "OneFormer Task-Conditioned Pipeline",
   "zh": "OneFormer 任务条件化统一分割流水线",
   "level": "l2"
  },
  "CAP_f8f4ed36": {
   "en": "Task Token Construction",
   "zh": "任务令牌构造",
   "level": "l3"
  },
  "CAP_09d8ee00": {
   "en": "6-way Attention Task Conditioning",
   "zh": "六向注意力任务条件化",
   "level": "l3"
  },
  "CAP_64f9ff22": {
   "en": "Query-Text Contrastive Training",
   "zh": "查询文本对比训练",
   "level": "l3"
  },
  "CAP_9a7837b0": {
   "en": "MAE Pretrained ViT-H Encoding",
   "zh": "MAE 预训练 ViT-H 图像编码",
   "level": "l3"
  },
  "CAP_fbbc168c": {
   "en": "Dual Query Generalized Decoding",
   "zh": "双查询广义解码",
   "level": "l3"
  },
  "CAP_78c8ed1e": {
   "en": "Return-to-go Conditioning",
   "zh": "回报到目标条件化",
   "level": "l3"
  },
  "CAP_b4c432ac": {
   "en": "Quadchute Failsafe",
   "zh": "Quadchute 故障安全",
   "level": "l3"
  },
  "CAP_36d52cd1": {
   "en": "Standard Front Transition State Machine",
   "zh": "复合翼前向过渡状态机",
   "level": "l3"
  },
  "CAP_0ab22ebb": {
   "en": "Thrust Blending and Control Switching",
   "zh": "推力混合与控制律切换",
   "level": "l2"
  },
  "CAP_0a577d33": {
   "en": "Pusher Throttle Ramp Up",
   "zh": "推进电机油门斜坡上升",
   "level": "l3"
  },
  "CAP_3ff95a76": {
   "en": "Airspeed Based MC FW Blending",
   "zh": "空速基 MC/FW 控制权重混合",
   "level": "l3"
  },
  "CAP_715f7cae": {
   "en": "Front Transition Completion Check",
   "zh": "前向过渡完成判定",
   "level": "l3"
  },
  "CAP_77f090a1": {
   "en": "Dual Actuator Output Mixing",
   "zh": "双执行器组输出混合",
   "level": "l3"
  },
  "CAP_dca39866": {
   "en": "Back Transition Deceleration",
   "zh": "反向过渡减速",
   "level": "l3"
  },
  "CAP_b3bc1bf8": {
   "en": "Tailsitter Front Transition State Machine",
   "zh": "尾座式前向过渡状态机",
   "level": "l3"
  },
  "CAP_bab71dc4": {
   "en": "Pitch Trajectory and Thrust Coordination",
   "zh": "俯仰轨迹与推力协调",
   "level": "l2"
  },
  "CAP_af8c9e88": {
   "en": "Quaternion Pitch Trajectory Generation",
   "zh": "四元数俯仰轨迹生成",
   "level": "l3"
  },
  "CAP_0838b2f2": {
   "en": "Single Propulsion Thrust Pass Through",
   "zh": "单推进系统推力直通",
   "level": "l3"
  },
  "CAP_290baee8": {
   "en": "Differential Thrust FW Yaw Control",
   "zh": "差动推力 FW 偏航控制",
   "level": "l3"
  },
  "CAP_4ff6b69d": {
   "en": "Tailsitter Back Transition Blending",
   "zh": "尾座式反向过渡混合",
   "level": "l3"
  },
  "CAP_6499c090": {
   "en": "Tiltrotor Two Phase State Machine",
   "zh": "倾转旋翼两阶段状态机",
   "level": "l3"
  },
  "CAP_f5069b49": {
   "en": "Two Phase Tilt Scheduling",
   "zh": "两阶段倾角调度",
   "level": "l2"
  },
  "CAP_d4349cfd": {
   "en": "P1 Tilt Scheduling",
   "zh": "P1 倾角调度",
   "level": "l3"
  },
  "CAP_30bd1974": {
   "en": "P1 Airspeed Based Weight Blending",
   "zh": "P1 空速基权重混合",
   "level": "l3"
  },
  "CAP_f147c690": {
   "en": "P2 Tilt Scheduling",
   "zh": "P2 倾角调度",
   "level": "l3"
  },
  "CAP_580f22bf": {
   "en": "Single Actuator Group Output",
   "zh": "单执行器组输出",
   "level": "l3"
  },
  "CAP_bec27b92": {
   "en": "Back Transition Three Phase Control",
   "zh": "反向过渡三阶段控制",
   "level": "l3"
  },
  "CAP_b2136f46": {
   "en": "BDI Cognitive Transparency Pipeline",
   "zh": "BDI 认知透明度生成",
   "level": "l2"
  },
  "CAP_95ba0781": {
   "en": "Belief State Snapshot Extraction",
   "zh": "信念状态快照提取",
   "level": "l3"
  },
  "CAP_7d8dee05": {
   "en": "BDI Transparency Message Composition",
   "zh": "BDI 认知透明度消息合成与发布",
   "level": "l3"
  },
  "CAP_6fdd92f6": {
   "en": "ROS Diagnostics System Status Transparency",
   "zh": "ROS 诊断系统状态透明度生成",
   "level": "l2"
  },
  "CAP_18e05cab": {
   "en": "System Mode Automation Level Query",
   "zh": "系统模式与自动化级别查询",
   "level": "l3"
  },
  "CAP_9da07248": {
   "en": "System Status Transparency Message Composition",
   "zh": "系统状态透明度消息合成与发布",
   "level": "l3"
  },
  "CAP_abb28596": {
   "en": "Robot Decision State Acquisition",
   "zh": "机器人决策状态采集",
   "level": "l3"
  },
  "CAP_13997261": {
   "en": "Refusal Disclosure Generator",
   "zh": "拒绝披露生成器",
   "level": "l3"
  },
  "CAP_14be13c3": {
   "en": "Quantitative Uncertainty Disclosure Pipeline",
   "zh": "量化不确定性披露流水线",
   "level": "l2"
  },
  "CAP_ed0ffa39": {
   "en": "Policy Inference and Predictive Uncertainty Quantification",
   "zh": "策略推理与预测不确定性量化",
   "level": "l3"
  },
  "CAP_8ee64fe7": {
   "en": "RGB Glass Detection",
   "zh": "RGB 玻璃检测",
   "level": "l2"
  },
  "CAP_d1685190": {
   "en": "GDNet Glass Segmentation",
   "zh": "GDNet 玻璃分割网络",
   "level": "l3"
  },
  "CAP_d38473fe": {
   "en": "Glass Contextual Feature Integration",
   "zh": "玻璃上下文特征集成",
   "level": "l3"
  },
  "CAP_f65569b9": {
   "en": "Glass Mask Inference",
   "zh": "玻璃掩码推断与精化",
   "level": "l3"
  },
  "CAP_3d010ebb": {
   "en": "Polarimetric Transparent Detection",
   "zh": "偏振透明物体检测",
   "level": "l2"
  },
  "CAP_1db5531c": {
   "en": "Polarization Image Acquisition",
   "zh": "多角度偏振图像采集",
   "level": "l3"
  },
  "CAP_64d31f9e": {
   "en": "Stokes Channel Computation",
   "zh": "Stokes 推导 I/ρ/φ 通道计算",
   "level": "l3"
  },
  "CAP_3666b253": {
   "en": "Polarized CNN Fusion",
   "zh": "偏振 CNN 中期融合实例分割",
   "level": "l3"
  },
  "CAP_dd127e9a": {
   "en": "Active Light Curtain Transparent Detection",
   "zh": "主动光幕透明物体检测",
   "level": "l2"
  },
  "CAP_f5a6b7c8": {
   "en": "Prediction-Driven Sensor Placement",
   "zh": "预测驱动传感器放置",
   "level": "l3"
  },
  "CAP_a6fdb701": {
   "en": "Dual-Return LiDAR Acquisition",
   "zh": "双回波激光采集",
   "level": "l3"
  },
  "CAP_124c72fa": {
   "en": "Dual-Return Point Classification",
   "zh": "双回波点集分类",
   "level": "l3"
  },
  "CAP_0679bdc7": {
   "en": "Intensity Peak Glass Detection",
   "zh": "强度峰玻璃检测",
   "level": "l3"
  },
  "CAP_b36114af": {
   "en": "Learning-Based Reflection Segmentation Mapping",
   "zh": "学习型反射分割建图",
   "level": "l2"
  },
  "CAP_7ba85e0a": {
   "en": "Multi-Return LiDAR Multi-Modal Acquisition",
   "zh": "多回波激光多模态采集",
   "level": "l3"
  },
  "CAP_db48c44b": {
   "en": "Reflection Point Cloud Segmentation",
   "zh": "反射点云分割",
   "level": "l3"
  },
  "CAP_458e81a7": {
   "en": "Reflection-Free Occupancy Grid Reconstruction",
   "zh": "无反射占据栅格重建",
   "level": "l3"
  },
  "CAP_725dd055": {
   "en": "Camera-LiDAR Glass Mask Projection",
   "zh": "相机激光玻璃掩膜投影",
   "level": "l3"
  },
  "CAP_d735b024": {
   "en": "Cross-Modal Glass Point Marking",
   "zh": "跨模态玻璃点标记",
   "level": "l3"
  },
  "CAP_59cd4846": {
   "en": "Phantom Wall Occupancy Correction",
   "zh": "幻影墙占据修正",
   "level": "l3"
  },
  "CAP_939901b7": {
   "en": "Fusion-Aware SLAM Map Update",
   "zh": "融合感知SLAM地图更新",
   "level": "l3"
  },
  "CAP_2f416045": {
   "en": "Model-Based Transparent Control",
   "zh": "模型驱动透明控制",
   "level": "l2"
  },
  "CAP_952aa5e7": {
   "en": "Joint Friction Identification",
   "zh": "关节摩擦辨识",
   "level": "l3"
  },
  "CAP_86a15e54": {
   "en": "Friction Scale Tuning",
   "zh": "摩擦标度调节",
   "level": "l3"
  },
  "CAP_a71f1d84": {
   "en": "Zero Torque Transparent Command",
   "zh": "零力矩透明指令下发",
   "level": "l3"
  },
  "CAP_ac92f0e8": {
   "en": "LBR FRI Interface Setup",
   "zh": "LBR FRI接口建立",
   "level": "l3"
  },
  "CAP_d738548f": {
   "en": "Walk-Through Trajectory Recording",
   "zh": "Walk-Through轨迹记录",
   "level": "l3"
  },
  "CAP_aca0e277": {
   "en": "iPhone LiDAR Environment Scanning",
   "zh": "iPhone LiDAR 环境扫描",
   "level": "l2"
  },
  "CAP_46fcebcc": {
   "en": "Semantic Voxel Memory Construction",
   "zh": "语义体素记忆构建",
   "level": "l3"
  },
  "CAP_35c0e9b8": {
   "en": "Navigation Goal Scoring",
   "zh": "导航目标点评分",
   "level": "l3"
  },
  "CAP_2cdc5f69": {
   "en": "Mobile Base Navigation Execution",
   "zh": "移动底盘导航执行",
   "level": "l3"
  },
  "CAP_00413158": {
   "en": "Robotic Arm Grasp Execution",
   "zh": "机械臂抓取执行",
   "level": "l3"
  },
  "CAP_c6343788": {
   "en": "Multi-View Visual Observation",
   "zh": "多路视觉观测采集",
   "level": "l3"
  },
  "CAP_f8e54154": {
   "en": "Autonomous Transport-and-Place Task",
   "zh": "自主运输放置任务闭环",
   "level": "l3"
  },
  "CAP_cf1f16da": {
   "en": "Semantic Vocabulary Construction",
   "zh": "语义词表构建",
   "level": "l3"
  },
  "CAP_12f8b8d9": {
   "en": "RL Navigation to Object",
   "zh": "RL 导航到物体",
   "level": "l3"
  },
  "CAP_c99a8cad": {
   "en": "RL Navigation to Receptacle",
   "zh": "RL 导航到容器",
   "level": "l3"
  },
  "CAP_3f3d155d": {
   "en": "RL Place",
   "zh": "RL 放置",
   "level": "l3"
  },
  "CAP_f844f826": {
   "en": "Heuristic Dropping Implementation",
   "zh": "启发式放置实现",
   "level": "l3"
  },
  "CAP_2860b533": {
   "en": "Heuristic Pick Implementation",
   "zh": "启发式抓取实现",
   "level": "l3"
  },
  "CAP_4ee72b44": {
   "en": "Gaze at Object Implementation",
   "zh": "注视物体实现",
   "level": "l3"
  },
  "CAP_aed0103a": {
   "en": "Fall Wait Implementation",
   "zh": "等待物体静止实现",
   "level": "l3"
  },
  "CAP_ecfb22ef": {
   "en": "Object-Transport Navigation Implementation",
   "zh": "携物运输导航实现",
   "level": "l3"
  },
  "CAP_95d70f77": {
   "en": "16-DoF Whole-Body Action Space Construction Implementation",
   "zh": "16-DoF 整身动作空间构造实现",
   "level": "l3"
  },
  "CAP_e3693cd1": {
   "en": "Open-Vocabulary Perception Initialization Implementation",
   "zh": "开放词表感知初始化实现",
   "level": "l3"
  },
  "CAP_e5f90e50": {
   "en": "Gaze at Receptacle Implementation",
   "zh": "注视容器实现",
   "level": "l3"
  },
  "CAP_522ef3dd": {
   "en": "Image-to-Elevation Map Fusion",
   "zh": "图像到高程地图融合",
   "level": "l3"
  },
  "CAP_e92c5600": {
   "en": "Multi-Camera Scheduled Acquisition",
   "zh": "多相机调度采集",
   "level": "l3"
  },
  "CAP_3e7bb7fc": {
   "en": "Anomaly Detection Confidence Mask",
   "zh": "异常检测置信度掩码",
   "level": "l3"
  },
  "CAP_fb3c07bf": {
   "en": "Microsurgical Admittance Parameter Design",
   "zh": "微手术导纳参数设计",
   "level": "l3"
  },
  "CAP_8fc472d6": {
   "en": "Cooperative Tremor Force Thresholding",
   "zh": "协作震颤力阈值分离",
   "level": "l3"
  },
  "CAP_90d583e7": {
   "en": "Surgical Workspace Virtual Wall Clipping",
   "zh": "手术工作空间虚拟墙裁剪",
   "level": "l3"
  },
  "CAP_80c3e98d": {
   "en": "Microsurgical Position Reference Synthesis",
   "zh": "微手术位姿参考合成与逆解",
   "level": "l3"
  },
  "CAP_5c914fa3": {
   "en": "Active Handheld Piezo Compensation",
   "zh": "手持式压电主动补偿",
   "level": "l2"
  },
  "CAP_818f1058": {
   "en": "Handheld Inertial Motion Sensing",
   "zh": "手持惯性运动传感",
   "level": "l3"
  },
  "CAP_c308b61a": {
   "en": "WFLC Tremor Estimation",
   "zh": "WFLC 震颤估计",
   "level": "l3"
  },
  "CAP_d419c72b": {
   "en": "BMFLC Tremor Estimation",
   "zh": "BMFLC 震颤估计",
   "level": "l3"
  },
  "CAP_b2f7a509": {
   "en": "Optical Tip Pose Tracking",
   "zh": "光学末端位姿跟踪",
   "level": "l3"
  },
  "CAP_d017b23d": {
   "en": "Piezoelectric Actuator Closed-Loop Control",
   "zh": "压电致动器闭环控制",
   "level": "l3"
  },
  "CAP_f63be94d": {
   "en": "Active Tip Compensation Closed-Loop",
   "zh": "主动末端补偿闭环",
   "level": "l3"
  },
  "CAP_db73e6ae": {
   "en": "Master Manipulator Joint Sampling",
   "zh": "主手关节采样",
   "level": "l3"
  },
  "CAP_76eba041": {
   "en": "Master-Side Motion Pose Estimation",
   "zh": "主端运动学位姿解算",
   "level": "l3"
  },
  "CAP_be0a551b": {
   "en": "Master-Slave Teleoperation Command Dispatch",
   "zh": "主从遥操作指令下发",
   "level": "l3"
  },
  "CAP_ade8d130": {
   "en": "Master-Side Filtering Performance Evaluation",
   "zh": "主端消抖效果评估",
   "level": "l3"
  },
  "CAP_4c2854db": {
   "en": "Trust Information Density Adaptation",
   "zh": "信任信息密度适配",
   "level": "l2"
  },
  "CAP_3bc3936a": {
   "en": "Information Need Assessment",
   "zh": "信息需求评估",
   "level": "l3"
  },
  "CAP_74873c99": {
   "en": "Information Density Level Selection",
   "zh": "信息密度级别选择",
   "level": "l3"
  },
  "CAP_c2647d88": {
   "en": "Information Filter Configuration",
   "zh": "信息过滤配置",
   "level": "l3"
  },
  "CAP_b8bb847a": {
   "en": "Content Priority Ranking",
   "zh": "内容优先级排序",
   "level": "l3"
  },
  "CAP_b6df1867": {
   "en": "Trust Belief Interface Adaptation",
   "zh": "信任信念界面适配",
   "level": "l2"
  },
  "CAP_bff3e360": {
   "en": "Belief Uncertainty Quantification",
   "zh": "信念不确定性量化",
   "level": "l3"
  },
  "CAP_dc99a4ff": {
   "en": "Interface Parameter Policy Mapping",
   "zh": "界面参数策略映射",
   "level": "l3"
  },
  "CAP_5357228b": {
   "en": "Interface Configuration Execution",
   "zh": "界面配置执行",
   "level": "l3"
  },
  "CAP_62b70eec": {
   "en": "Feedback Loop & Belief Update",
   "zh": "闭环反馈与信念更新",
   "level": "l3"
  },
  "CAP_b7785a52": {
   "en": "Per-Task-Type Performance Aggregation",
   "zh": "按任务类型性能聚合",
   "level": "l3"
  },
  "CAP_a158f5a9": {
   "en": "User Expected Trust Extraction",
   "zh": "用户预期信任抽取",
   "level": "l3"
  },
  "CAP_6c584f1b": {
   "en": "Trust Performance Gap Assessment",
   "zh": "信任-表现偏差评估",
   "level": "l3"
  },
  "CAP_ebbfd487": {
   "en": "Debrief Summary Generation",
   "zh": "复盘摘要生成",
   "level": "l3"
  },
  "CAP_84c17d96": {
   "en": "Calibration Advice Generation",
   "zh": "校准建议生成",
   "level": "l3"
  },
  "CAP_0caff154": {
   "en": "Real-Time Calibration Indicator Chain",
   "zh": "实时校准指示器显示链",
   "level": "l2"
  },
  "CAP_3d5cf3a7": {
   "en": "Real-Time Robot Reliability Estimation",
   "zh": "实时机器人可靠性估计",
   "level": "l3"
  },
  "CAP_ba265bb2": {
   "en": "User Reliance Acquisition",
   "zh": "用户依赖度获取",
   "level": "l3"
  },
  "CAP_4e430c8b": {
   "en": "Real-Time Trust Gap Calculation",
   "zh": "实时信任偏差计算",
   "level": "l3"
  },
  "CAP_2ca6784a": {
   "en": "Reliability Uncertainty Band Estimation",
   "zh": "可靠性不确定性带估计",
   "level": "l3"
  },
  "CAP_12a266c1": {
   "en": "Calibration Light Decision",
   "zh": "校准灯状态决策",
   "level": "l3"
  },
  "CAP_e5da8b88": {
   "en": "Real-Time Calibration Panel Rendering",
   "zh": "实时校准面板渲染",
   "level": "l3"
  },
  "CAP_5082d8da": {
   "en": "Comparative Calibration Tutoring Chain",
   "zh": "对比校准辅导链",
   "level": "l2"
  },
  "CAP_e7c703fc": {
   "en": "Historical Performance Join",
   "zh": "历史表现对齐",
   "level": "l3"
  },
  "CAP_befc0394": {
   "en": "Optimal Trust Curve Estimation",
   "zh": "最优信任曲线估计",
   "level": "l3"
  },
  "CAP_3316088d": {
   "en": "Peer Trust Curve Anonymized Aggregation",
   "zh": "同伴曲线匿名聚合",
   "level": "l3"
  },
  "CAP_cba8de89": {
   "en": "Systematic Bias Pattern Recognition",
   "zh": "系统性偏差模式识别",
   "level": "l3"
  },
  "CAP_032ce43b": {
   "en": "Coaching Explanation Generation",
   "zh": "教练式解释生成",
   "level": "l3"
  },
  "CAP_1268d547": {
   "en": "Miscalibration Targeted Explanation Chain",
   "zh": "误校准针对性解释反馈链",
   "level": "l2"
  },
  "CAP_1126cb3b": {
   "en": "Miscalibration Detection",
   "zh": "误校准检测器",
   "level": "l3"
  },
  "CAP_30798be0": {
   "en": "Bias Dimension Classification",
   "zh": "偏差维度分类器",
   "level": "l3"
  },
  "CAP_e280abdd": {
   "en": "Explanation Evidence Retrieval",
   "zh": "解释证据检索器",
   "level": "l3"
  },
  "CAP_622e68df": {
   "en": "Targeted Explanation Generation",
   "zh": "针对性解释生成器",
   "level": "l3"
  },
  "CAP_e2e1cfab": {
   "en": "Explanation Message Presentation Control",
   "zh": "解释消息呈现控制",
   "level": "l3"
  },
  "CAP_28dddc41": {
   "en": "Explanation Response Evaluation",
   "zh": "用户响应评估器",
   "level": "l3"
  },
  "CAP_7491e098": {
   "en": "ODE Trust Dynamics Modeling",
   "zh": "信任微分方程动态建模",
   "level": "l2"
  },
  "CAP_2916a36f": {
   "en": "Performance Event Detection",
   "zh": "性能事件检测",
   "level": "l3"
  },
  "CAP_c6a42c4b": {
   "en": "Trust Growth Rate Computation",
   "zh": "信任增长率计算",
   "level": "l3"
  },
  "CAP_a37241d9": {
   "en": "Trust Decay Impulse Application",
   "zh": "信任衰减脉冲施加",
   "level": "l3"
  },
  "CAP_d509c3aa": {
   "en": "Trust ODE Integration",
   "zh": "信任微分方程数值积分",
   "level": "l3"
  },
  "CAP_7c4d5ef4": {
   "en": "Trust Steady State Estimation",
   "zh": "信任稳态估计",
   "level": "l3"
  },
  "CAP_3f3faccb": {
   "en": "Trust Trajectory Forecast",
   "zh": "信任轨迹预测",
   "level": "l3"
  },
  "CAP_8cf51adb": {
   "en": "Bayesian Beta Trust Update",
   "zh": "贝叶斯Beta信任更新",
   "level": "l2"
  },
  "CAP_7360e8e4": {
   "en": "Interaction Outcome Classification",
   "zh": "交互结果分类",
   "level": "l3"
  },
  "CAP_1b038bea": {
   "en": "Loss Aversion Weighting",
   "zh": "损失厌恶加权",
   "level": "l3"
  },
  "CAP_5aa59a15": {
   "en": "Beta Prior Maintenance",
   "zh": "Beta先验维护",
   "level": "l3"
  },
  "CAP_d5391018": {
   "en": "Beta Trust Statistics",
   "zh": "Beta信任统计量计算",
   "level": "l3"
  },
  "CAP_fd6cd5e2": {
   "en": "Beta Steady State Analysis",
   "zh": "Beta稳态收敛分析",
   "level": "l3"
  },
  "CAP_b45ed010": {
   "en": "State Space Trust Filtering",
   "zh": "状态空间信任滤波",
   "level": "l2"
  },
  "CAP_6ef13922": {
   "en": "Trust Cue Extraction",
   "zh": "信任线索提取",
   "level": "l3"
  },
  "CAP_3788b457": {
   "en": "Trust Observation Noise Characterization",
   "zh": "信任观测噪声表征",
   "level": "l3"
  },
  "CAP_fd8355f2": {
   "en": "Multi Step Trust Prediction",
   "zh": "多步信任预测",
   "level": "l3"
  },
  "CAP_c41124a5": {
   "en": "Cognitive Forcing Dampening",
   "zh": "认知强迫函数信任抑制",
   "level": "l2"
  },
  "CAP_5fbd8cb0": {
   "en": "Cognitive Forcing Trigger",
   "zh": "认知强迫触发器",
   "level": "l3"
  },
  "CAP_295bb55b": {
   "en": "User Explanation Collector",
   "zh": "用户解释采集器",
   "level": "l3"
  },
  "CAP_3af41c8e": {
   "en": "On-Demand AI Gating",
   "zh": "按需 AI 门控",
   "level": "l3"
  },
  "CAP_f3991f26": {
   "en": "Overreliance Metric Calculator",
   "zh": "过度依赖度量器",
   "level": "l3"
  },
  "CAP_d475fb56": {
   "en": "Capability Estimator Bridge",
   "zh": "能力估计桥接器",
   "level": "l3"
  },
  "CAP_911d4252": {
   "en": "Trust-Capability Gap Calculator",
   "zh": "信任-能力差距计算器",
   "level": "l3"
  },
  "CAP_3a8f4342": {
   "en": "Apology and Commitment Generation",
   "zh": "道歉与承诺生成",
   "level": "l3"
  },
  "CAP_ac837932": {
   "en": "Multimodal Social Delivery",
   "zh": "多模态社交交付",
   "level": "l3"
  },
  "CAP_2f0fb0c9": {
   "en": "Trust Rebound Assessment",
   "zh": "信任回升评估",
   "level": "l3"
  },
  "CAP_890cf4d2": {
   "en": "Recovered Performance Execution",
   "zh": "恢复绩效执行与展示",
   "level": "l3"
  },
  "CAP_7ae61a60": {
   "en": "Failure Detection and Risk Assessment",
   "zh": "失误检测与风险评估",
   "level": "l2"
  },
  "CAP_0866bc26": {
   "en": "Failure Attribution (Detailed)",
   "zh": "详细失败归因",
   "level": "l3"
  },
  "CAP_99d583ed": {
   "en": "Block Mesh & ESDF Costmap Generation",
   "zh": "块网格与ESDF代价地图生成",
   "level": "l2"
  },
  "CAP_abd33452": {
   "en": "Global Pose Optimization & Volume Warp",
   "zh": "全局位姿优化与体积变形",
   "level": "l2"
  },
  "CAP_7057d8c3": {
   "en": "Dense Volume TSDF Weighted Integration",
   "zh": "稠密体积TSDF加权积分",
   "level": "l3"
  },
  "CAP_f0af13a8": {
   "en": "Visible Block Parallel Prefix Sum Compaction",
   "zh": "可见块并行前缀和压缩",
   "level": "l3"
  },
  "CAP_3150df75": {
   "en": "Block-Allocated Voxel Layer Construction",
   "zh": "块级分配体素层构建",
   "level": "l3"
  },
  "CAP_515eea3c": {
   "en": "Hash Block Isosurface Extraction",
   "zh": "哈希块等值面提取",
   "level": "l3"
  },
  "CAP_c6544f29": {
   "en": "Exact Branch And Cut TSP Planning",
   "zh": "TSP 精确分支割平面求解",
   "level": "l2"
  },
  "CAP_a0425d35": {
   "en": "TSP Instance Load TSPLIB Parse",
   "zh": "TSP 实例加载与 TSPLIB 格式解析",
   "level": "l3"
  },
  "CAP_b4abce7b": {
   "en": "DFJ IP Formulation With Subtour Elimination",
   "zh": "DFJ 整数规划建模含子回路消除",
   "level": "l3"
  },
  "CAP_f9c9ea69": {
   "en": "LP Relaxation Solve Via QSOpt",
   "zh": "LP 松弛求解（QSopt 后端）",
   "level": "l3"
  },
  "CAP_39748392": {
   "en": "Subtour Comb Blossom Cut Separation",
   "zh": "子回路/梳形/花割平面分离",
   "level": "l3"
  },
  "CAP_12ae0ddb": {
   "en": "Branch On Fractional Variable Binary Tree",
   "zh": "分数变量分支（二叉搜索树）",
   "level": "l3"
  },
  "CAP_ce57701c": {
   "en": "LK Heuristic Upper Bound Initialization",
   "zh": "Lin-Kernighan 启发式初始上界",
   "level": "l3"
  },
  "CAP_509bc697": {
   "en": "TSP Optimal Tour Output",
   "zh": "TSP 最优游程输出",
   "level": "l3"
  },
  "CAP_cc3d54b1": {
   "en": "Lin Kernighan Helsgaun Variable Depth Kopt TSP",
   "zh": "Lin-Kernighan-Helsgaun 变深 k-opt TSP 启发式",
   "level": "l2"
  },
  "CAP_9ce18f1e": {
   "en": "TSP Instance Load And LKH Parameter Config",
   "zh": "TSP 实例加载与 LKH 参数文件配置",
   "level": "l3"
  },
  "CAP_468b1e33": {
   "en": "Alpha Nearness Candidate Set Generation",
   "zh": "α-nearness 候选子图生成",
   "level": "l3"
  },
  "CAP_16ab9986": {
   "en": "Initial Tour Construction Heuristic",
   "zh": "初始游程构造启发式",
   "level": "l3"
  },
  "CAP_7332d14a": {
   "en": "Multi Trial Iteration With Recombination",
   "zh": "多次 trial 迭代与重组",
   "level": "l3"
  },
  "CAP_cd5fc8aa": {
   "en": "LKH Tour Output",
   "zh": "LKH 游程输出",
   "level": "l3"
  },
  "CAP_d91f584c": {
   "en": "TSP Instance Load RoutingIndexManager Init",
   "zh": "TSP 实例加载与 RoutingIndexManager 初始化",
   "level": "l3"
  },
  "CAP_968a1a1a": {
   "en": "Transit Callback Register And Set Arc Cost Evaluator",
   "zh": "Transit Callback 注册与目标函数设置",
   "level": "l3"
  },
  "CAP_52a08fe2": {
   "en": "FirstSolutionStrategy Initial Solution Construction",
   "zh": "FirstSolutionStrategy 初始可行解构造",
   "level": "l3"
  },
  "CAP_6e88d11e": {
   "en": "LocalSearchMetaheuristic Guided Local Search",
   "zh": "LocalSearchMetaheuristic 引导局部搜索",
   "level": "l3"
  },
  "CAP_1ed73ee9": {
   "en": "Local Search Operator 2Opt OrOpt Reload",
   "zh": "Local Search 算子（2-opt*/Or-opt/relocate）",
   "level": "l3"
  },
  "CAP_db44532e": {
   "en": "Pointer Decoder Autoregressive Selection",
   "zh": "Pointer 解码器自回归选择",
   "level": "l3"
  },
  "CAP_8d6f7c55": {
   "en": "TSP Tour Length Reward Computation",
   "zh": "TSP 游程长度（reward）计算",
   "level": "l3"
  },
  "CAP_470ced63": {
   "en": "Attention Model Tour Output",
   "zh": "Attention Model 游程输出",
   "level": "l3"
  },
  "CAP_37e56809": {
   "en": "Vector Geometric Assembly and Industrial Format Serialization",
   "zh": "矢量几何组装与工业格式序列化",
   "level": "l2"
  },
  "CAP_df286269": {
   "en": "Vector Building Elements Loading and Coordinate Alignment",
   "zh": "矢量建筑元素加载与坐标系对齐",
   "level": "l3"
  },
  "CAP_7c6e38fb": {
   "en": "Snap-to-Grid and Manhattan Angle Regularization",
   "zh": "栅格对齐与 Manhattan 角度正则化",
   "level": "l3"
  },
  "CAP_290ce83b": {
   "en": "Room Polygon Closure and Door Opening Insertion",
   "zh": "房间多边形闭合与门洞穿插",
   "level": "l3"
  },
  "CAP_688996c2": {
   "en": "SVG and DXF Vector Graphics Serialization",
   "zh": "SVG 与 DXF 矢量图形序列化",
   "level": "l3"
  },
  "CAP_2fd0b949": {
   "en": "IFC BIM Semantic Model Serialization",
   "zh": "IFC BIM 语义模型序列化",
   "level": "l3"
  },
  "CAP_31772aa2": {
   "en": "Neural Raster-to-Vector Floorplan Transformation",
   "zh": "神经栅格-矢量平面图转换",
   "level": "l2"
  },
  "CAP_58b2b6d5": {
   "en": "Raster Floorplan Image Loading and Preprocessing",
   "zh": "栅格平面图图像加载与预处理",
   "level": "l3"
  },
  "CAP_1759fc2c": {
   "en": "Corner Candidate Extraction and Integer Programming Vectorization",
   "zh": "角点候选提取与整数规划矢量化",
   "level": "l3"
  },
  "CAP_f1c8da74": {
   "en": "Vector Text Representation Serialization and PNG Rendering",
   "zh": "矢量文本表示序列化与 PNG 渲染",
   "level": "l3"
  },
  "CAP_39b29981": {
   "en": "SVG DXF Industrial Format Serialization Bridge",
   "zh": "SVG/DXF 工业格式序列化衔接（跨链复用 chain 01）",
   "level": "l3"
  },
  "CAP_00d5d554": {
   "en": "Two-Hand Joint Heatmap Regression",
   "zh": "双手关节热图回归",
   "level": "l2"
  },
  "CAP_aebe0010": {
   "en": "Two-Stage Shared-Domain MANO Mesh Recovery",
   "zh": "两阶段共享域 MANO 双手网格恢复",
   "level": "l2"
  },
  "CAP_de5ee518": {
   "en": "Single-Stage Attention Collaboration MANO Recovery",
   "zh": "单阶段注意力协作双手 MANO 重建",
   "level": "l2"
  },
  "CAP_9ed0652e": {
   "en": "Two-Hand Image Acquisition and Hand Detection",
   "zh": "双手图像获取与手部检测",
   "level": "l3"
  },
  "CAP_db4ad0ac": {
   "en": "Two-Hand Crop Normalization",
   "zh": "双手区域裁剪归一化",
   "level": "l3"
  },
  "CAP_834d8d53": {
   "en": "Two-Hand ResNet Feature Extraction",
   "zh": "双手 ResNet 特征提取",
   "level": "l3"
  },
  "CAP_416a7f84": {
   "en": "Two-Hand 2.5D Heatmap Regression",
   "zh": "双手 2.5D 关节热图回归",
   "level": "l3"
  },
  "CAP_ad2230e0": {
   "en": "Heatmap Soft-argmax Decoding",
   "zh": "热图 soft-argmax 解码",
   "level": "l3"
  },
  "CAP_0f8b3299": {
   "en": "Two-Hand Absolute Pose Recovery",
   "zh": "双手绝对姿态重建",
   "level": "l3"
  },
  "CAP_0e1ecedf": {
   "en": "Two-Hand Pose Evaluation",
   "zh": "双手姿态评测",
   "level": "l3"
  },
  "CAP_d0a19ee5": {
   "en": "Two-Hand Detection (DetectNet)",
   "zh": "双手检测（DetectNet）",
   "level": "l3"
  },
  "CAP_eba926de": {
   "en": "Single-Hand Crop Normalization",
   "zh": "单手区域裁剪归一化",
   "level": "l3"
  },
  "CAP_4cbf77c1": {
   "en": "Appearance-Invariant Relative Translation Regression",
   "zh": "外观无关相对平移回归",
   "level": "l3"
  },
  "CAP_68cf395d": {
   "en": "Two-Hand Mesh Composition and Evaluation",
   "zh": "双手网格组合与评测",
   "level": "l3"
  },
  "CAP_eb7b975c": {
   "en": "Hand Detector-Free Image Input",
   "zh": "无检测器手部图像输入",
   "level": "l3"
  },
  "CAP_4c34efa1": {
   "en": "Attention Encoder Four-Map Output",
   "zh": "注意力编码器四图输出",
   "level": "l3"
  },
  "CAP_cca21fdc": {
   "en": "Center and Part Attention Feature Aggregation",
   "zh": "中心与部位注意力特征聚合",
   "level": "l3"
  },
  "CAP_3eef0878": {
   "en": "MANO Param Regression and Mesh Generation",
   "zh": "MANO 参数回归与网格生成",
   "level": "l3"
  },
  "CAP_d4ab32bc": {
   "en": "Arbitrary Scenario Two-Hand Evaluation",
   "zh": "任意场景双手评测",
   "level": "l3"
  },
  "CAP_fb187677": {
   "en": "Flight Regime Classification",
   "zh": "飞行工况分类",
   "level": "l3"
  },
  "CAP_972eb004": {
   "en": "UAV Propulsion Energy Consumption Model",
   "zh": "无人机推进能耗模型",
   "level": "l3"
  },
  "CAP_489a8063": {
   "en": "Round-Trip Reachable Radius Estimation",
   "zh": "往返可达半径估计",
   "level": "l3"
  },
  "CAP_a0e2291a": {
   "en": "Energy-Constrained Round-Trip Path Planning",
   "zh": "能量约束往返路径规划",
   "level": "l2"
  },
  "CAP_57b9e9f3": {
   "en": "Energy-Aware Cost Map Generation",
   "zh": "能耗感知代价图生成",
   "level": "l3"
  },
  "CAP_1c92fead": {
   "en": "Round-Trip Reachability Constraint",
   "zh": "往返可达性约束构建",
   "level": "l3"
  },
  "CAP_eb8434c4": {
   "en": "Energy-Weighted A-star Graph Search",
   "zh": "能耗加权A星图搜索",
   "level": "l3"
  },
  "CAP_f8e6a1b5": {
   "en": "Energy-Budgeted RRT-star Planning",
   "zh": "能量预算RRT星规划",
   "level": "l3"
  },
  "CAP_fe855388": {
   "en": "Energy-Aware B-spline Smoothing",
   "zh": "能量感知B样条平滑",
   "level": "l3"
  },
  "CAP_1a0a0001": {
   "en": "Beacon Fiducial Precision Landing Pipeline",
   "zh": "信标标识符精准着陆流水线",
   "level": "l2"
  },
  "CAP_1a0a0002": {
   "en": "Three Phase Precision Descent",
   "zh": "三阶段精准下降",
   "level": "l2"
  },
  "CAP_1a0a0003": {
   "en": "Landing Target Loss Recovery",
   "zh": "着陆目标丢失恢复",
   "level": "l2"
  },
  "CAP_1a0a0101": {
   "en": "IR Beacon Image Detection",
   "zh": "IR信标图像检测",
   "level": "l3"
  },
  "CAP_1a0a0103": {
   "en": "Landing Target Kalman Filter Estimation",
   "zh": "着陆目标Kalman滤波估计",
   "level": "l3"
  },
  "CAP_1a0a0201": {
   "en": "Horizontal Approach Phase",
   "zh": "水平趋近阶段",
   "level": "l3"
  },
  "CAP_1a0a0202": {
   "en": "Target Centered Descent Phase",
   "zh": "靶心下降阶段",
   "level": "l3"
  },
  "CAP_1a0a0203": {
   "en": "Final Approach Touchdown Phase",
   "zh": "最终进近接地阶段",
   "level": "l3"
  },
  "CAP_1a0a0301": {
   "en": "Search Procedure Climb",
   "zh": "搜索程序爬升",
   "level": "l3"
  },
  "CAP_1a0a0302": {
   "en": "Normal Landing Fallback",
   "zh": "正常降落回退",
   "level": "l3"
  },
  "CAP_2b0b0001": {
   "en": "Moving Platform Visual Landing Pipeline",
   "zh": "移动平台视觉着陆流水线",
   "level": "l2"
  },
  "CAP_2b0b0002": {
   "en": "Predictive Interception Trajectory Generation",
   "zh": "预测拦截轨迹生成",
   "level": "l2"
  },
  "CAP_2b0b0003": {
   "en": "Trajectory Tracking Landing Execution",
   "zh": "轨迹跟踪降落执行",
   "level": "l2"
  },
  "CAP_2b0b0101": {
   "en": "Moving Deck Visual Detection",
   "zh": "移动甲板视觉检测",
   "level": "l3"
  },
  "CAP_2b0b0102": {
   "en": "Moving Target Pose Estimation",
   "zh": "移动目标相对位姿解算",
   "level": "l3"
  },
  "CAP_2b0b0103": {
   "en": "Target Motion State Kalman Estimation",
   "zh": "目标运动状态Kalman估计",
   "level": "l3"
  },
  "CAP_2b0b0202": {
   "en": "MPC Interception Trajectory Generation",
   "zh": "MPC拦截轨迹生成",
   "level": "l3"
  },
  "CAP_2b0b0301": {
   "en": "Interception Trajectory Tracking",
   "zh": "拦截轨迹跟踪",
   "level": "l3"
  },
  "CAP_2b0b0302": {
   "en": "Moving Platform Touchdown",
   "zh": "移动平台接地",
   "level": "l3"
  },
  "CAP_2b0b0303": {
   "en": "Hover Re-acquire Recovery",
   "zh": "悬停重捕恢复",
   "level": "l3"
  },
  "CAP_3c0c0001": {
   "en": "Learning Based Landing Policy Inference",
   "zh": "学习型着陆策略推理流水线",
   "level": "l2"
  },
  "CAP_3c0c0002": {
   "en": "Learning Based Landing Execution and Safety",
   "zh": "学习型着陆执行与安全",
   "level": "l2"
  },
  "CAP_3c0c0101": {
   "en": "Landing Observation Preprocessing",
   "zh": "着陆观测预处理",
   "level": "l3"
  },
  "CAP_3c0c0102": {
   "en": "Landing Policy Network Inference",
   "zh": "着陆策略网络推理",
   "level": "l3"
  },
  "CAP_3c0c0103": {
   "en": "Hybrid Control Fusion",
   "zh": "混合控制融合",
   "level": "l3"
  },
  "CAP_3c0c0201": {
   "en": "Landing Control Execution",
   "zh": "着陆控制执行",
   "level": "l3"
  },
  "CAP_3c0c0202": {
   "en": "Touchdown Detection and Termination",
   "zh": "接地检测与终止",
   "level": "l3"
  },
  "CAP_3c0c0203": {
   "en": "Nominal Controller Fallback",
   "zh": "名义控制器回退",
   "level": "l3"
  },
  "CAP_d3c1f8d2": {
   "en": "IR-LOCK Onboard Precision Landing",
   "zh": "IR-LOCK板载精准着陆",
   "level": "l2"
  },
  "CAP_bfb9471a": {
   "en": "Companion Visual Fiducial Landing",
   "zh": "伴机视觉fiducial着陆",
   "level": "l2"
  },
  "CAP_26f07dc5": {
   "en": "Deep RL Landing Sim2Real",
   "zh": "深度RL着陆sim2real",
   "level": "l2"
  },
  "CAP_c2d95538": {
   "en": "IR-LOCK Sensor Pixel Angle Acquisition",
   "zh": "IR-LOCK传感器像素角采集",
   "level": "l3"
  },
  "CAP_893b7b97": {
   "en": "Pixel Angle to Body Frame Transform",
   "zh": "像素角到机体坐标变换",
   "level": "l3"
  },
  "CAP_ca01719d": {
   "en": "Dual-Axis Kalman Filter Target Estimation",
   "zh": "双轴卡尔曼滤波目标估计",
   "level": "l3"
  },
  "CAP_0cc98cca": {
   "en": "Rangefinder Height Fusion and Outlier Rejection",
   "zh": "测距仪高度融合与异常剔除",
   "level": "l3"
  },
  "CAP_cad30f65": {
   "en": "Descent Over Target Phase Control",
   "zh": "目标上方居中下降控制",
   "level": "l3"
  },
  "CAP_e8e8e23e": {
   "en": "Final Approach and Target Loss Handling",
   "zh": "最终进近与目标丢失处置",
   "level": "l3"
  },
  "CAP_cdffa2bd": {
   "en": "Detection Confidence Filtering and Outlier Rejection",
   "zh": "检测置信度过滤与异常剔除",
   "level": "l3"
  },
  "CAP_73332752": {
   "en": "UAV Landing Gym Environment Construction",
   "zh": "UAV着陆gym环境构建",
   "level": "l3"
  },
  "CAP_dfb84652": {
   "en": "Landing RL Policy Training",
   "zh": "着陆RL策略训练",
   "level": "l3"
  },
  "CAP_79ebee5d": {
   "en": "Real-World Landing Validation and Fallback",
   "zh": "实机着陆验证与失败回退",
   "level": "l3"
  },
  "CAP_0d1e2f3a": {
   "en": "PBVS Control Law Generation",
   "zh": "PBVS 控制律生成",
   "level": "l3"
  },
  "CAP_5bc345f1": {
   "en": "GPS Position State Estimation",
   "zh": "GPS 位置状态估计",
   "level": "l2"
  },
  "CAP_307748a7": {
   "en": "Hover Position P Controller",
   "zh": "悬停位置 P 控制器",
   "level": "l3"
  },
  "CAP_83b32d68": {
   "en": "Hover Velocity PID Controller",
   "zh": "悬停速度 PID 控制器",
   "level": "l3"
  },
  "CAP_cd09c3a4": {
   "en": "Hover Thrust Adaptive Estimation",
   "zh": "悬停推力自适应估计",
   "level": "l3"
  },
  "CAP_2e46060e": {
   "en": "Position Hold Engagement",
   "zh": "位置保持使能与定点捕获",
   "level": "l3"
  },
  "CAP_f04a8737": {
   "en": "Position Loss Failsafe Handling",
   "zh": "GPS 位置丢失故障处理",
   "level": "l3"
  },
  "CAP_e5a5d53a": {
   "en": "Optical Flow Ground Velocity Estimation",
   "zh": "光流地面速度估计",
   "level": "l3"
  },
  "CAP_c956152f": {
   "en": "Flow Quality Gating",
   "zh": "光流质量门控",
   "level": "l3"
  },
  "CAP_ed730753": {
   "en": "External Vision Pose MAVLink Relay",
   "zh": "外部视觉位姿 MAVLink 中继",
   "level": "l3"
  },
  "CAP_8818ee4a": {
   "en": "EKF External Vision Fusion",
   "zh": "EKF 外部视觉融合",
   "level": "l3"
  },
  "CAP_2a0327fc": {
   "en": "Vision Failsafe Handling",
   "zh": "视觉失效降级处理",
   "level": "l3"
  },
  "CAP_d1c746f7": {
   "en": "UWB TDOA Infrastructure Positioning",
   "zh": "UWB TDOA 基础设施定位",
   "level": "l3"
  },
  "CAP_fadd1718": {
   "en": "UWB Position State Estimation",
   "zh": "UWB 位置状态估计",
   "level": "l3"
  },
  "CAP_bb6a9e64": {
   "en": "Quadrotor Power Distribution",
   "zh": "四旋翼功率分配",
   "level": "l3"
  },
  "CAP_24385281": {
   "en": "Position Setpoint Commander",
   "zh": "位置设定点命令",
   "level": "l3"
  },
  "CAP_c05ec1a8": {
   "en": "Topological Multi Homotopy PGO Pipeline",
   "zh": "拓扑多同伦类搜索+路径引导优化流水线",
   "level": "l2"
  },
  "CAP_ad3b14dc": {
   "en": "Online Volumetric Mapping And Esdf Construction",
   "zh": "在线体素地图与 ESDF 构造",
   "level": "l3"
  },
  "CAP_320431b0": {
   "en": "Online Occupancy Grid Mapping No Esdf",
   "zh": "在线占用栅格建图（无 ESDF）",
   "level": "l3"
  },
  "CAP_d5d5e42d": {
   "en": "Mavros Offboard Setpoint Streaming",
   "zh": "mavros offboard setpoint 流推送",
   "level": "l3"
  },
  "CAP_17f7dcf3": {
   "en": "Position P Controller",
   "zh": "位置 P 控制器",
   "level": "l3"
  },
  "CAP_86efb8f3": {
   "en": "Quadrotor Rate PID Control",
   "zh": "四旋翼角速率 PID 控制",
   "level": "l3"
  },
  "CAP_5967c6e7": {
   "en": "Flatness-Based State Reference Derivation",
   "zh": "微分平坦状态参考推导",
   "level": "l3"
  },
  "CAP_e645707d": {
   "en": "Quadrotor Nonlinear Dynamics Modeling",
   "zh": "四旋翼非线性动力学建模",
   "level": "l3"
  },
  "CAP_96d4a8a3": {
   "en": "Wind State Estimation Pipeline",
   "zh": "风状态估计管线",
   "level": "l2"
  },
  "CAP_75a5fabf": {
   "en": "Multi-source EKF with Wind States",
   "zh": "含风状态的多源 EKF 融合",
   "level": "l3"
  },
  "CAP_c81d5228": {
   "en": "Wind Vector Extraction and Gust Detection",
   "zh": "风向量提取与阵风检测",
   "level": "l3"
  },
  "CAP_eced2936": {
   "en": "Wind-Aware Feedforward Compensation",
   "zh": "风感知前馈补偿",
   "level": "l2"
  },
  "CAP_0b8a4cfd": {
   "en": "Wind Drag Feedforward Compensation",
   "zh": "风阻前馈补偿",
   "level": "l3"
  },
  "CAP_a452fdd7": {
   "en": "Wind-Resistant Position and Velocity Tracking",
   "zh": "抗风位置与速度跟踪",
   "level": "l3"
  },
  "CAP_55b18f44": {
   "en": "Offline Aerodynamic Meta-Learning",
   "zh": "离线气动元学习",
   "level": "l2"
  },
  "CAP_e12707f7": {
   "en": "Multi-Condition Flight Data Collection",
   "zh": "多风况飞行数据采集",
   "level": "l3"
  },
  "CAP_0f9c98b1": {
   "en": "DAIML Domain Adversarial Meta-Learning Training",
   "zh": "DAIML 域对抗元学习训练",
   "level": "l3"
  },
  "CAP_2242e821": {
   "en": "Online Residual Inference and Adaptive Correction",
   "zh": "在线残差推理与自适应修正",
   "level": "l2"
  },
  "CAP_e44ff325": {
   "en": "Baseline Augmented Flight Execution",
   "zh": "基线增强飞行执行",
   "level": "l2"
  },
  "CAP_5758a75f": {
   "en": "DS Evidence Acquisition and Modeling",
   "zh": "D-S 证据获取与建模",
   "level": "l2"
  },
  "CAP_8feea969": {
   "en": "Heterogeneous Sensor Output Acquisition",
   "zh": "异构传感器输出获取",
   "level": "l3"
  },
  "CAP_027faaa4": {
   "en": "DS Evidence Combination and Conflict",
   "zh": "D-S 证据组合与冲突处理",
   "level": "l2"
  },
  "CAP_e7f27c7f": {
   "en": "Evidential Decision and Occupancy Output",
   "zh": "证据决策与栅格输出",
   "level": "l2"
  },
  "CAP_e92f8782": {
   "en": "Task-Driven IR-Visible Fusion",
   "zh": "任务驱动红外可见光融合",
   "level": "l3"
  },
  "CAP_2ff54b65": {
   "en": "Pixel-Level IR-Visible Image Fusion",
   "zh": "像素级红外可见光融合",
   "level": "l3"
  },
  "CAP_35fe90e0": {
   "en": "Bayesian Kalman Uncertainty Fusion",
   "zh": "贝叶斯/卡尔曼不确定性融合",
   "level": "l2"
  },
  "CAP_3424085f": {
   "en": "Uncertainty-Aware Fusion Weighting",
   "zh": "不确定性感知融合加权",
   "level": "l3"
  },
  "CAP_bb73d7d9": {
   "en": "Evidential Deep Learning Uncertainty Estimation",
   "zh": "深度证据学习不确定度估计",
   "level": "l3"
  },
  "CAP_38762edf": {
   "en": "Heterogeneous Feature Extraction",
   "zh": "异构特征提取",
   "level": "l3"
  },
  "CAP_248706bc": {
   "en": "Uncertainty-Aware Fused Feature Output",
   "zh": "带不确定度融合特征输出",
   "level": "l3"
  },
  "CAP_95edce7b": {
   "en": "Uncertainty-Robust MPC Execution Loop",
   "zh": "不确定性鲁棒 MPC 执行闭环",
   "level": "l2"
  },
  "CAP_7c4fff5c": {
   "en": "Occupancy Cell Entropy Computation",
   "zh": "占用单元熵计算",
   "level": "l3"
  },
  "CAP_61cb8c40": {
   "en": "GP Posterior Variance Field Computation",
   "zh": "GP 后验方差场计算",
   "level": "l3"
  },
  "CAP_51277fc6": {
   "en": "Per-Voxel Kalman Variance Update",
   "zh": "逐体素卡尔曼方差更新",
   "level": "l3"
  },
  "CAP_d3e10e10": {
   "en": "Mahalanobis Gating for Voxel Fusion",
   "zh": "体素融合马氏距离门控",
   "level": "l3"
  },
  "CAP_8df1b3ee": {
   "en": "Evidential Map Decision via Pignistic",
   "zh": "Pignistic 概率证据地图决策",
   "level": "l3"
  },
  "CAP_ef2551ab": {
   "en": "Conflict-Aware Active Observation",
   "zh": "冲突感知主动观测",
   "level": "l3"
  },
  "CAP_59fe2853": {
   "en": "Evidential Normal-Inverse-Gamma Output Layer",
   "zh": "证据 Normal-Inverse-Gamma 输出层",
   "level": "l3"
  },
  "CAP_6686d762": {
   "en": "MC Dropout Bayesian Inference for Occupancy",
   "zh": "占用建图 MC Dropout 贝叶斯推理",
   "level": "l3"
  },
  "CAP_fe325abf": {
   "en": "Learned Inverse Sensor Model with Uncertainty",
   "zh": "学习型反向传感器模型与不确定性",
   "level": "l3"
  },
  "CAP_5dcef705": {
   "en": "Occupancy Grid Initialization",
   "zh": "占用栅格初始化",
   "level": "l3"
  },
  "CAP_d98c60b0": {
   "en": "Uncertainty-Aware POMDP Navigation Planning",
   "zh": "不确定性感知 POMDP 导航规划",
   "level": "l2"
  },
  "CAP_05e60ada": {
   "en": "Marginal Covariance Recovery from Information",
   "zh": "信息形式边际协方差恢复",
   "level": "l3"
  },
  "CAP_08020725": {
   "en": "VAE ELBO Training with KL Annealing",
   "zh": "VAE ELBO 训练与 KL 退火",
   "level": "l3"
  },
  "CAP_751d1538": {
   "en": "Stochastic Multi-Sample Future Rollout",
   "zh": "随机多样本未来展开",
   "level": "l3"
  },
  "CAP_01f5fb2c": {
   "en": "Multi-Noise-Seed Future Generation",
   "zh": "多噪声样本未来生成",
   "level": "l3"
  },
  "CAP_d8e3a7c1": {
   "en": "Probabilistic Ensemble Conservative Action Selection",
   "zh": "概率集成保守动作选择",
   "level": "l2"
  },
  "CAP_6a89e306": {
   "en": "Variational Bayesian Policy Network",
   "zh": "变分贝叶斯策略网络",
   "level": "l3"
  },
  "CAP_b1f64393": {
   "en": "Action Posterior Mean-Variance Estimation",
   "zh": "动作后验均值方差估计",
   "level": "l3"
  },
  "CAP_04c1ff0a": {
   "en": "Posterior Variance Action Gating Threshold",
   "zh": "后验方差动作门控阈值",
   "level": "l3"
  },
  "CAP_12567e61": {
   "en": "Confidence-Inverse Exploration Noise Scaling",
   "zh": "置信度反比探索噪声缩放",
   "level": "l3"
  },
  "CAP_c8b19781": {
   "en": "Beta Platt Scaling Calibration",
   "zh": "Beta 与 Platt 标度校准",
   "level": "l3"
  },
  "CAP_9484684e": {
   "en": "Isotonic Binning Recalibration",
   "zh": "等保回归与分箱再校准",
   "level": "l3"
  },
  "CAP_5644eb94": {
   "en": "Reliability Diagram Visualization",
   "zh": "可靠性图可视化",
   "level": "l3"
  },
  "CAP_e10ac220": {
   "en": "Conformal Calibration Set Construction",
   "zh": "共形校准集构建",
   "level": "l3"
  },
  "CAP_438a1fc7": {
   "en": "Conformalized Quantile Regression Interval",
   "zh": "共形分位数回归区间",
   "level": "l3"
  },
  "CAP_4ec9b6f6": {
   "en": "Coverage Guarantee Verification",
   "zh": "覆盖保证验证",
   "level": "l3"
  },
  "CAP_da6a899d": {
   "en": "Regression Uncertainty Calibration",
   "zh": "回归不确定性校准",
   "level": "l2"
  },
  "CAP_d62fdf56": {
   "en": "Regression CDF Recalibration",
   "zh": "回归 CDF 再校准",
   "level": "l3"
  },
  "CAP_716c22d3": {
   "en": "Regression Calibration Curve",
   "zh": "回归校准曲线",
   "level": "l3"
  },
  "CAP_1aab1f26": {
   "en": "Regression Interval Sharpness Evaluation",
   "zh": "回归区间锐度评估",
   "level": "l3"
  },
  "CAP_5ae8c11c": {
   "en": "Stochastic Parameter Restoration",
   "zh": "随机参数恢复",
   "level": "l3"
  },
  "CAP_346aa25f": {
   "en": "Uncertainty Disclosure Packaging",
   "zh": "不确定性信息披露包装",
   "level": "l3"
  },
  "CAP_94869ef3": {
   "en": "Multi-Pass Sampling Generation",
   "zh": "多路径采样生成",
   "level": "l2"
  },
  "CAP_1043d9d3": {
   "en": "ASR Confidence Fusion",
   "zh": "ASR置信度融合",
   "level": "l3"
  },
  "CAP_6e4a26e1": {
   "en": "Sigma Point Generation",
   "zh": "Sigma 点生成",
   "level": "l3"
  },
  "CAP_865b02a7": {
   "en": "Distribution Statistics Extraction",
   "zh": "粒子分布统计量提取",
   "level": "l3"
  },
  "CAP_4b1339d4": {
   "en": "Latent Posterior Reparameterized Sampling",
   "zh": "潜后验重参数化采样",
   "level": "l3"
  },
  "CAP_770f8704": {
   "en": "Sample-Based Particle Representation",
   "zh": "粒子采样非参数化表示",
   "level": "l3"
  },
  "CAP_f1cc7f52": {
   "en": "Path Integral Control Planning",
   "zh": "路径积分控制规划",
   "level": "l2"
  },
  "CAP_c1bde4f0": {
   "en": "Noisy Trajectory Rollout",
   "zh": "含噪轨迹 rollout",
   "level": "l3"
  },
  "CAP_d798693e": {
   "en": "Exponential Cost Weighting",
   "zh": "指数代价加权",
   "level": "l3"
  },
  "CAP_5360906c": {
   "en": "Cost Distribution Risk Quantification",
   "zh": "代价分布风险量化",
   "level": "l3"
  },
  "CAP_b056a782": {
   "en": "Pose Gaussian Parameterization",
   "zh": "位姿高斯参数化",
   "level": "l2"
  },
  "CAP_63661087": {
   "en": "Pose Mean-Covariance Initialization",
   "zh": "位姿均值协方差初始化",
   "level": "l3"
  },
  "CAP_d9831458": {
   "en": "On-Manifold Covariance Propagation",
   "zh": "流形上协方差传播",
   "level": "l2"
  },
  "CAP_53fe6a24": {
   "en": "SE(2)/SE(3) Pose Composition with Covariance",
   "zh": "SE(2)/SE(3)位姿复合协方差",
   "level": "l3"
  },
  "CAP_79216ca1": {
   "en": "Covariance Ellipse Visualization",
   "zh": "协方差椭圆可视化",
   "level": "l3"
  },
  "CAP_2d485fd3": {
   "en": "Covariance-Driven Downstream Risk Utilization",
   "zh": "协方差驱动的下游风险利用",
   "level": "l2"
  },
  "CAP_0af7823450": {
   "en": "Covariance Inflation for Safety Zone",
   "zh": "协方差膨胀安全边界",
   "level": "l3"
  },
  "CAP_be00dcb5": {
   "en": "Particle Set Representation and Maintenance",
   "zh": "粒子集表示与维护",
   "level": "l2"
  },
  "CAP_8677b93b": {
   "en": "Particle Importance Weight Update",
   "zh": "粒子重要性权重更新",
   "level": "l3"
  },
  "CAP_791af6ab": {
   "en": "Particle Statistics Extraction",
   "zh": "粒子统计量提取",
   "level": "l2"
  },
  "CAP_0f372109": {
   "en": "Weighted Mean and Covariance from Particles",
   "zh": "粒子加权均值协方差",
   "level": "l3"
  },
  "CAP_11c0a288": {
   "en": "Kernel Density Estimation from Particles",
   "zh": "粒子核密度估计",
   "level": "l3"
  },
  "CAP_1a00d2d1": {
   "en": "Particle Set Entropy and Convergence",
   "zh": "粒子集熵与收敛判定",
   "level": "l3"
  },
  "CAP_688976cd": {
   "en": "PoseArray Particle Cloud Publishing",
   "zh": "PoseArray粒子云发布",
   "level": "l3"
  },
  "CAP_4d3477b0": {
   "en": "Particle Entropy-Driven Active Localization Trigger",
   "zh": "粒子熵驱动的主动定位触发",
   "level": "l3"
  },
  "CAP_6c5ba1f4": {
   "en": "Information Form Representation",
   "zh": "信息形式表示",
   "level": "l2"
  },
  "CAP_4553b3bb": {
   "en": "Information Matrix-Vector Initialization",
   "zh": "信息矩阵向量初始化",
   "level": "l3"
  },
  "CAP_2d4b14f9": {
   "en": "Factor Linearization Information Accumulation",
   "zh": "因子线性化信息累加",
   "level": "l3"
  },
  "CAP_8c78c164": {
   "en": "Sparse Information Matrix Maintenance",
   "zh": "稀疏信息矩阵维护",
   "level": "l3"
  },
  "CAP_bfb6929c": {
   "en": "Sparse Factor Graph Solving",
   "zh": "稀疏因子图求解",
   "level": "l2"
  },
  "CAP_c7e35c3d": {
   "en": "Elimination Ordering (COLAMD/AMD)",
   "zh": "消元排序（COLAMD/AMD）",
   "level": "l3"
  },
  "CAP_72e53985": {
   "en": "Mean Back-Substitution",
   "zh": "均值回代求解",
   "level": "l3"
  },
  "CAP_9383be92": {
   "en": "Optimal Omega Search for CI",
   "zh": "CI最优权重ω搜索",
   "level": "l3"
  },
  "CAP_ac54fe4c": {
   "en": "Sparse Information Matrix Visualization",
   "zh": "稀疏信息矩阵可视化",
   "level": "l3"
  },
  "CAP_53ebbfaa": {
   "en": "Heuristic Uncertainty Scoring",
   "zh": "启发式不确定性评分",
   "level": "l3"
  },
  "CAP_a57f3db1": {
   "en": "Spatial Uncertainty Overlay",
   "zh": "空间不确定性叠加可视化",
   "level": "l2"
  },
  "CAP_a5c64941": {
   "en": "Probability Field Overlay Rendering",
   "zh": "概率场叠加渲染",
   "level": "l3"
  },
  "CAP_a331df9a": {
   "en": "Voxel Confidence Rendering",
   "zh": "体素置信度着色渲染",
   "level": "l3"
  },
  "CAP_09834d8b": {
   "en": "Spatial Overlay Rendering",
   "zh": "空间不确定性视图叠加渲染",
   "level": "l3"
  },
  "CAP_dda71c4f": {
   "en": "Uncertainty Interactive Query",
   "zh": "空间不确定性交互查询",
   "level": "l3"
  },
  "CAP_a7f6ed8a": {
   "en": "Predictive Uncertainty Trajectory",
   "zh": "预测不确定性轨迹可视化",
   "level": "l2"
  },
  "CAP_ff915cad": {
   "en": "Predictive Data Subscription",
   "zh": "多模态预测数据订阅与时域对齐",
   "level": "l3"
  },
  "CAP_827c7d11": {
   "en": "Trajectory Fan Cone Generation",
   "zh": "轨迹扇/锥几何生成",
   "level": "l3"
  },
  "CAP_f2cd4d57": {
   "en": "Multi-Hypothesis Trajectory Rendering",
   "zh": "多假设轨迹渲染与排序",
   "level": "l3"
  },
  "CAP_9689b8da": {
   "en": "Temporal Confidence Band Rendering",
   "zh": "时序置信带渲染",
   "level": "l3"
  },
  "CAP_5a72a695": {
   "en": "Prediction Confidence Alert",
   "zh": "预测低置信度告警",
   "level": "l3"
  },
  "CAP_da1256e1": {
   "en": "Predictive Trajectory Interactive Exploration",
   "zh": "交互式预测探索",
   "level": "l3"
  },
  "CAP_d4b3802a": {
   "en": "Uncertainty Icon Glyph Rendering",
   "zh": "不确定性图标/图元渲染",
   "level": "l3"
  },
  "CAP_27897fc0": {
   "en": "Covariance-Weighted Estimate Fusion",
   "zh": "协方差加权估计融合",
   "level": "l3"
  },
  "CAP_21a864fd": {
   "en": "CI Information Matrix Fusion",
   "zh": "CI信息矩阵凸组合融合",
   "level": "l3"
  },
  "CAP_ce7b103f": {
   "en": "Adaptive Convergence Detection",
   "zh": "自适应收敛检测",
   "level": "l3"
  },
  "CAP_ac904fd6": {
   "en": "ROV Pilot Teleoperated Contact NDT Inspection Pipeline",
   "zh": "ROV 飞行员遥操作接触式 NDT 检查流水线",
   "level": "l2"
  },
  "CAP_27480a1a": {
   "en": "ROV Inspection Point Station-Keeping",
   "zh": "ROV 检查点悬停定位",
   "level": "l3"
  },
  "CAP_47e95fcf": {
   "en": "ROV NDT Probe Surface Preparation",
   "zh": "ROV NDT 探头选型与表面预处理",
   "level": "l3"
  },
  "CAP_80ed495c": {
   "en": "ROV Contact Force Stabilization",
   "zh": "ROV 接触建立与力稳定",
   "level": "l3"
  },
  "CAP_b3d4bab8": {
   "en": "ROV Acoustic Coupling Verification and NDT Acquisition",
   "zh": "ROV 声学耦合验证与 NDT 数据采集",
   "level": "l3"
  },
  "CAP_7473119c": {
   "en": "ROV NDT Data Quality Assessment",
   "zh": "ROV NDT 数据质量评估",
   "level": "l3"
  },
  "CAP_f4a98d74": {
   "en": "ROV NDT Probe Retraction",
   "zh": "ROV NDT 探头回退与转点",
   "level": "l3"
  },
  "CAP_085b2a5e": {
   "en": "Magnetic Crawler Surface-Contact NDT Inspection Pipeline",
   "zh": "磁吸附爬壁机器人接触式 NDT 扫查流水线",
   "level": "l2"
  },
  "CAP_d5158915": {
   "en": "Crawler Magnetic Attachment Deployment",
   "zh": "Crawler 部署与磁吸附建立",
   "level": "l3"
  },
  "CAP_f7c5beac": {
   "en": "Crawler Coupling Adhesion Monitoring",
   "zh": "Crawler 耦合质量与磁吸附实时监控",
   "level": "l3"
  },
  "CAP_a016640f": {
   "en": "Autonomous I-AUV Force-Controlled Contact Inspection Pipeline",
   "zh": "自主 I-AUV 力控接触检查流水线",
   "level": "l2"
  },
  "CAP_568cb200": {
   "en": "IAUV Visual Servoing Inspection Alignment",
   "zh": "I-AUV 检查点视觉伺服对准",
   "level": "l3"
  },
  "CAP_db2af651": {
   "en": "IAUV Autonomous NDT Data Acquisition",
   "zh": "I-AUV 自主 NDT 数据采集与力引导扫描",
   "level": "l3"
  },
  "CAP_40668692": {
   "en": "IAUV Online Data Quality Assessment",
   "zh": "I-AUV 在线数据质量评估与异常响应",
   "level": "l3"
  },
  "CAP_b1815190": {
   "en": "IAUV Autonomous Probe Retraction Transition",
   "zh": "I-AUV 自主探头回退与转点",
   "level": "l3"
  },
  "CAP_af247672": {
   "en": "Current-Aware Path Planning",
   "zh": "洋流感知路径规划",
   "level": "l2"
  },
  "CAP_0417e5df": {
   "en": "Current Forecast Data Acquisition",
   "zh": "洋流预报数据获取",
   "level": "l3"
  },
  "CAP_ee3cd472": {
   "en": "Current Field Vector Grid Construction",
   "zh": "洋流场向量栅格构建",
   "level": "l3"
  },
  "CAP_833fe3b9": {
   "en": "Current-Aware Cost Map Generation",
   "zh": "洋流感知代价图生成",
   "level": "l3"
  },
  "CAP_607574d8": {
   "en": "Current Forecast Update Trigger",
   "zh": "洋流预报更新触发",
   "level": "l3"
  },
  "CAP_143a9b40": {
   "en": "IMU-Pressure Data Acquisition",
   "zh": "IMU/压力传感器数据采集",
   "level": "l3"
  },
  "CAP_ba3fee7f": {
   "en": "Thruster Dynamics Modeling (Yoerger-Bessa)",
   "zh": "推进器动力学建模（Yoerger-Bessa 模型）",
   "level": "l3"
  },
  "CAP_99a00b77": {
   "en": "Control Mode Switching and Replan Coordination",
   "zh": "控制模式切换与重规划协调",
   "level": "l3"
  },
  "CAP_2ea97e6d": {
   "en": "Pressure Sensor Data Acquisition",
   "zh": "压力传感器数据采集",
   "level": "l3"
  },
  "CAP_3b55b405": {
   "en": "Pressure-to-Depth Conversion",
   "zh": "压力-深度换算",
   "level": "l3"
  },
  "CAP_7db30b66": {
   "en": "Depth Filtering and Estimation",
   "zh": "深度滤波与状态估计",
   "level": "l3"
  },
  "CAP_8ee35db0": {
   "en": "Cascaded PID Depth Control Loop",
   "zh": "级联PID深度控制环路",
   "level": "l2"
  },
  "CAP_89d74520": {
   "en": "Depth P Outer Loop Control",
   "zh": "深度外环P控制",
   "level": "l3"
  },
  "CAP_25a0ac48": {
   "en": "Heave Velocity PID Inner Loop",
   "zh": "升沉速度PID内环控制",
   "level": "l3"
  },
  "CAP_4cb536f2": {
   "en": "Thruster PWM Output",
   "zh": "推进器PWM输出",
   "level": "l3"
  },
  "CAP_a9f4fa08": {
   "en": "Backstepping Virtual Control Design",
   "zh": "反步虚拟控制量设计",
   "level": "l3"
  },
  "CAP_b0a8c68e": {
   "en": "Glide Perception and Planning",
   "zh": "滑翔状态感知与剖面规划",
   "level": "l2"
  },
  "CAP_e9185d05": {
   "en": "Glide State Estimation",
   "zh": "滑翔状态估计",
   "level": "l3"
  },
  "CAP_58870cb3": {
   "en": "Water Density Compensation",
   "zh": "水密度补偿",
   "level": "l3"
  },
  "CAP_33aa72af": {
   "en": "Yo-yo Profile Management",
   "zh": "锯齿剖面管理",
   "level": "l3"
  },
  "CAP_a3ad6d30": {
   "en": "Buoyancy-Pitch Glide Control",
   "zh": "浮力-俯仰耦合控制",
   "level": "l2"
  },
  "CAP_34d48dad": {
   "en": "Pitch Control via Movable Mass",
   "zh": "移动质量块俯仰控制",
   "level": "l3"
  },
  "CAP_d5982933": {
   "en": "Teleoperated ROV Grasping & Sampling Pipeline",
   "zh": "遥操作 ROV 抓取采样管线",
   "level": "l2"
  },
  "CAP_adf453a9": {
   "en": "Underwater Camera-Light Deployment",
   "zh": "水下摄像头与补光灯部署",
   "level": "l3"
  },
  "CAP_f5d0267c": {
   "en": "Operator Visual Target Search via ROV Feed",
   "zh": "操作员通过 ROV 视频视觉搜索",
   "level": "l3"
  },
  "CAP_782b13aa": {
   "en": "Joystick-Controlled Arm Approach",
   "zh": "操纵杆遥操作机械臂逼近",
   "level": "l3"
  },
  "CAP_17d6280e": {
   "en": "Subsea Gripper/Sampler End-Effector Actuation",
   "zh": "水下夹爪/采样器末端执行器驱动",
   "level": "l3"
  },
  "CAP_d03df7e3": {
   "en": "ROV Teleoperation Video Streaming & OSD",
   "zh": "ROV 遥操作视频流与 OSD 叠加",
   "level": "l3"
  },
  "CAP_f67b4263": {
   "en": "Grasp Confirmation & Retrieval Lift",
   "zh": "抓取确认与回收提升",
   "level": "l3"
  },
  "CAP_c2fbf640": {
   "en": "Autonomous I-AUV Vision-Based Grasping Pipeline",
   "zh": "自主 I-AUV 视觉抓取管线",
   "level": "l2"
  },
  "CAP_65686f60": {
   "en": "Underwater Image Enhancement for Robotic Vision",
   "zh": "面向机器人视觉的水下图像增强",
   "level": "l3"
  },
  "CAP_cdec46ef": {
   "en": "Underwater Object Detection & Segmentation",
   "zh": "水下目标检测与分割",
   "level": "l3"
  },
  "CAP_718f2282": {
   "en": "Underwater 6-DoF Object Pose Estimation",
   "zh": "水下目标6-DoF位姿估计",
   "level": "l3"
  },
  "CAP_bf8e806a": {
   "en": "Underwater Grasp Pose Generation",
   "zh": "水下抓取姿态生成",
   "level": "l3"
  },
  "CAP_fed961e5": {
   "en": "UVMS Coordinated Motion Planning",
   "zh": "水下航行器-机械臂系统协调运动规划",
   "level": "l3"
  },
  "CAP_c18c1949": {
   "en": "Floating-Base Compliant Grasp Execution",
   "zh": "浮游基座柔顺抓取执行",
   "level": "l3"
  },
  "CAP_35a0a588": {
   "en": "6-DOF Cascaded PID Hovering Controller",
   "zh": "六自由度串级PID悬停控制器",
   "level": "l2"
  },
  "CAP_074adac6": {
   "en": "Robust Sliding Mode Hovering Controller",
   "zh": "鲁棒滑模悬停控制器",
   "level": "l2"
  },
  "CAP_0842d7b1": {
   "en": "Hover Sensor Acquisition and State Estimation",
   "zh": "悬停传感采集与状态估计",
   "level": "l3"
  },
  "CAP_177fd198": {
   "en": "Acceleration-to-Tilt Conversion",
   "zh": "加速度-倾角转换",
   "level": "l3"
  },
  "CAP_4b0fee64": {
   "en": "Restoration Force Feedforward Compensation",
   "zh": "恢复力前馈补偿",
   "level": "l3"
  },
  "CAP_c496061a": {
   "en": "Hover Wrench Composition",
   "zh": "悬停广义力合成",
   "level": "l3"
  },
  "CAP_9a68776e": {
   "en": "Rigid-Body Inertia Computation",
   "zh": "刚体惯性力计算",
   "level": "l3"
  },
  "CAP_fc6de505": {
   "en": "Added Mass Force Computation (Parametric)",
   "zh": "附加质量力计算（参数化）",
   "level": "l3"
  },
  "CAP_a8dba4d5": {
   "en": "Restoring Force Computation",
   "zh": "恢复力（重力-浮力）计算",
   "level": "l3"
  },
  "CAP_b69dfe5a": {
   "en": "Fin Lift-Drag Computation",
   "zh": "舵面升阻力计算",
   "level": "l3"
  },
  "CAP_f8b1f969": {
   "en": "Ocean Current Simulation (Gauss-Markov)",
   "zh": "洋流仿真（高斯-马尔可夫过程）",
   "level": "l3"
  },
  "CAP_34369047": {
   "en": "Thruster Allocation Matrix Computation",
   "zh": "推力分配矩阵计算",
   "level": "l3"
  },
  "CAP_e50b58e9": {
   "en": "Gazebo Underwater Physics Integration",
   "zh": "Gazebo 水下物理步进积分",
   "level": "l3"
  },
  "CAP_33f43d34": {
   "en": "ROS Underwater State Publishing",
   "zh": "ROS 水下载体状态发布",
   "level": "l3"
  },
  "CAP_822f7a09": {
   "en": "Geometry-Based Hydrodynamic Simulation Pipeline",
   "zh": "几何水动力仿真管线",
   "level": "l2"
  },
  "CAP_10bf1ba4": {
   "en": "Mesh Geometry Loading",
   "zh": "Mesh 几何体加载",
   "level": "l3"
  },
  "CAP_57a975ec": {
   "en": "Mesh-Based Physical Property Auto-Computation",
   "zh": "基于 Mesh 的物理属性自动计算",
   "level": "l3"
  },
  "CAP_0a34e6c8": {
   "en": "Submerged Physics Mode Configuration",
   "zh": "水下物理模式配置",
   "level": "l3"
  },
  "CAP_bebc7c53": {
   "en": "Mesh Face-Based Buoyancy Computation",
   "zh": "基于 Mesh 面元的浮力计算",
   "level": "l3"
  },
  "CAP_e3ceb493": {
   "en": "Face-Based Quadratic Drag and Skin Friction",
   "zh": "面元二次阻力与皮肤摩擦计算",
   "level": "l3"
  },
  "CAP_06ab440c": {
   "en": "Geometric Approximation Added Mass",
   "zh": "几何拟合附加质量",
   "level": "l3"
  },
  "CAP_16764db1": {
   "en": "Ocean Environment Configuration (Jerlov)",
   "zh": "海洋环境配置（Jerlov 水体光学）",
   "level": "l3"
  },
  "CAP_22a05cd7": {
   "en": "Modular Underwater Thruster Dynamics",
   "zh": "模块化水下推进器建模范式",
   "level": "l3"
  },
  "CAP_0389267a": {
   "en": "Rudder and VBS Actuator Simulation",
   "zh": "舵面与可变浮力系统仿真",
   "level": "l3"
  },
  "CAP_56853b7e": {
   "en": "Soft Body Cable Hydrodynamics",
   "zh": "软体系缆水动力仿真",
   "level": "l3"
  },
  "CAP_a4b73c8c": {
   "en": "Bullet Physics Marine Extension Stepping",
   "zh": "Bullet 物理引擎海洋扩展步进",
   "level": "l3"
  },
  "CAP_51419a5f": {
   "en": "Wavelength-Dependent Underwater Rendering",
   "zh": "波长依赖水下渲染",
   "level": "l3"
  },
  "CAP_2080d7e8": {
   "en": "Stonefish ROS Interface",
   "zh": "Stonefish ROS 接口",
   "level": "l3"
  },
  "CAP_b096cd44": {
   "en": "ROV Pilot TIP Contact Intervention Pipeline",
   "zh": "ROV 飞行员 TIP 接触干预流水线",
   "level": "l2"
  },
  "CAP_a99773c0": {
   "en": "Contact Mode Initialization and Torque/Force Zeroing",
   "zh": "接触模式初始化与扭矩/力零点标定",
   "level": "l3"
  },
  "CAP_997eee9e": {
   "en": "ROV TIP Valve Turning Torque Application",
   "zh": "ROV TIP 阀门旋转扭矩施加",
   "level": "l3"
  },
  "CAP_91fae05c": {
   "en": "ROV TIP Cleaning Normal Force Control",
   "zh": "ROV TIP 清理法向力控制",
   "level": "l3"
  },
  "CAP_c3725f8b": {
   "en": "ROV Pilot Visual Verification",
   "zh": "ROV 飞行员视觉验证",
   "level": "l3"
  },
  "CAP_7bad518b": {
   "en": "Docked Fixed-Base Autonomous I-AUV Intervention Pipeline",
   "zh": "对接固定基座自主 I-AUV 干预流水线",
   "level": "l2"
  },
  "CAP_72119a2a": {
   "en": "Docking Handle Visual Detection and Pose Estimation",
   "zh": "对接把手视觉检测与位姿估计",
   "level": "l3"
  },
  "CAP_e987062e": {
   "en": "Visual Servoing Docking Approach",
   "zh": "视觉伺服对接接近",
   "level": "l3"
  },
  "CAP_e126ca24": {
   "en": "Docking Latch Engagement and Fixation Confirmation",
   "zh": "对接锁扣啮合与固定确认",
   "level": "l3"
  },
  "CAP_02c430b4": {
   "en": "Docked Mode Vehicle Stabilization",
   "zh": "对接模式车辆稳定化",
   "level": "l3"
  },
  "CAP_39bebe6f": {
   "en": "Autonomous Docked Valve Torque Control",
   "zh": "自主固定基阀门扭矩控制",
   "level": "l3"
  },
  "CAP_7493f660": {
   "en": "Docked Intervention Verification",
   "zh": "固定基干预作业验证",
   "level": "l3"
  },
  "CAP_3c7c2017": {
   "en": "Undocking and Retreat",
   "zh": "自主解锁对接与撤离",
   "level": "l3"
  },
  "CAP_59c56167": {
   "en": "Floating-Base Valve Turning with Torque Control",
   "zh": "浮游基座阀门旋转扭矩控制",
   "level": "l3"
  },
  "CAP_d18f4941": {
   "en": "Floating-Base Cleaning Normal Force Control",
   "zh": "浮游基座清理法向力控制",
   "level": "l3"
  },
  "CAP_480e63af": {
   "en": "Post-Contact Verification and Retreat",
   "zh": "接触后验证与撤离",
   "level": "l3"
  },
  "CAP_37d25ecf": {
   "en": "Sonar Scan Loop Closure",
   "zh": "声纳扫描回环检测",
   "level": "l3"
  },
  "CAP_20ffadf3": {
   "en": "DVL INS UKF Pose Graph",
   "zh": "DVL IMU紧耦合UKF位姿图融合",
   "level": "l2"
  },
  "CAP_8393e338": {
   "en": "Pressure Depth Update",
   "zh": "压力深度更新",
   "level": "l3"
  },
  "CAP_42fc7a27": {
   "en": "MBES Submap Loop Closure",
   "zh": "多波束声纳子图回环",
   "level": "l3"
  },
  "CAP_70ee97d5": {
   "en": "Surface Receiver OWTT TDoA Localization",
   "zh": "水面接收器OWTT TDoA绝对定位",
   "level": "l2"
  },
  "CAP_d27b43d0": {
   "en": "Surface Receiver Array Deployment",
   "zh": "水面接收器阵列部署",
   "level": "l3"
  },
  "CAP_ee6a189e": {
   "en": "Underwater Locator OWTT Ping",
   "zh": "水下定位器OWTT声学发射",
   "level": "l3"
  },
  "CAP_a2fbb8c5": {
   "en": "Surface Receiver TDoA Measurement",
   "zh": "水面接收器TDoA测量",
   "level": "l3"
  },
  "CAP_f871fd7e": {
   "en": "Surface Receiver TDoA Multilateration",
   "zh": "水面接收器TDoA多边定位",
   "level": "l3"
  },
  "CAP_8391908c": {
   "en": "Monocular Visual Feature Tracking",
   "zh": "单目视觉特征跟踪",
   "level": "l3"
  },
  "CAP_e1740048": {
   "en": "Visual Inertial Pressure Tight Coupling SLAM",
   "zh": "视觉惯性水压紧耦合SLAM主体",
   "level": "l3"
  },
  "CAP_7614e2df": {
   "en": "Underwater Obstacle Avoidance Geometric Primitives",
   "zh": "水下避障几何原语",
   "level": "l2"
  },
  "CAP_e4505955": {
   "en": "FLS Sonar Driver Decoding",
   "zh": "前视声呐驱动解码",
   "level": "l3"
  },
  "CAP_6f42bbf9": {
   "en": "Forward Looking Sonar Beam Projection",
   "zh": "前视声呐波束投影",
   "level": "l3"
  },
  "CAP_d14b2faf": {
   "en": "Polar To Cartesian Occupancy Conversion",
   "zh": "极坐标到笛卡尔占据栅格转换",
   "level": "l3"
  },
  "CAP_54c3643b": {
   "en": "FLS Obstacle Bounded Classification",
   "zh": "前视声呐障碍边界分类",
   "level": "l3"
  },
  "CAP_81e7aba8": {
   "en": "AUV DRL Avoidance Training Pipeline",
   "zh": "AUV 深度强化学习避障训练管线",
   "level": "l2"
  },
  "CAP_0d1af118": {
   "en": "Stonefish Gym Env Wrapper",
   "zh": "Stonefish Gym 环境封装",
   "level": "l3"
  },
  "CAP_5a040dde": {
   "en": "HoloOcean Native Gym Interface",
   "zh": "HoloOcean 原生 Gym 接口",
   "level": "l3"
  },
  "CAP_5f7659f9": {
   "en": "AUV Avoidance Reward Shaping",
   "zh": "AUV 避障奖励塑形",
   "level": "l3"
  },
  "CAP_bc1bc9dc": {
   "en": "Sonar Image Observation Tensorization",
   "zh": "声呐图像观测张量化",
   "level": "l3"
  },
  "CAP_62c804f6": {
   "en": "AUV RL Policy Sim To Real Transfer",
   "zh": "AUV RL 策略 sim-to-real 迁移",
   "level": "l3"
  },
  "CAP_abdf8f6b": {
   "en": "Underwater Visual Obstacle Avoidance Pipeline",
   "zh": "水下视觉避障管线",
   "level": "l2"
  },
  "CAP_b300f15e": {
   "en": "Underwater Stereo Depth Estimation",
   "zh": "水下立体深度估计",
   "level": "l3"
  },
  "CAP_923f67df": {
   "en": "Underwater Monocular Depth Estimation",
   "zh": "水下单目深度估计",
   "level": "l3"
  },
  "CAP_ab5ecaa3": {
   "en": "Underwater Obstacle Segmentation",
   "zh": "水下障碍分割",
   "level": "l3"
  },
  "CAP_dbd92c52": {
   "en": "Visual Traversability For Underwater",
   "zh": "水下视觉可通行性",
   "level": "l3"
  },
  "CAP_5698141e": {
   "en": "Bug Motion To Goal And Hit Detection",
   "zh": "Bug趋目标运动与撞墙检测",
   "level": "l3"
  },
  "CAP_9b904a33": {
   "en": "Bug Boundary Following And Leave",
   "zh": "Bug边界跟随与离开判定",
   "level": "l3"
  },
  "CAP_6b41f285": {
   "en": "Workclass ROV Piloted Tool Operation Pipeline",
   "zh": "工作级 ROV 有人驾驶工具作业流水线",
   "level": "l2"
  },
  "CAP_d797f312": {
   "en": "Tool Skid Mounting and Pre-Dive Check",
   "zh": "工具滑橇挂载与下潜前自检",
   "level": "l3"
  },
  "CAP_5585a123": {
   "en": "TMS-Deployed ROV Descent",
   "zh": "TMS 部署下潜",
   "level": "l3"
  },
  "CAP_b0d9ad9b": {
   "en": "ROV Acoustic-Visual Target Localization",
   "zh": "ROV 声-视融合目标定位",
   "level": "l3"
  },
  "CAP_cf236d30": {
   "en": "TIP-Controlled Tool Interface Alignment",
   "zh": "TIP 控制工具接口对准",
   "level": "l3"
  },
  "CAP_d04c7b2e": {
   "en": "ROV Tool Engagement and Drive Activation",
   "zh": "ROV 工具啮合与驱动启动",
   "level": "l3"
  },
  "CAP_e6a5d73b": {
   "en": "IAUV Autonomous Tool Operation Pipeline",
   "zh": "I-AUV 自主工具作业流水线",
   "level": "l2"
  },
  "CAP_3e4f46b1": {
   "en": "IAUV Cruise to Intervention Mode Switch",
   "zh": "I-AUV 巡航-干预形态切换",
   "level": "l3"
  },
  "CAP_f37e76c2": {
   "en": "Vision-Acoustic Panel Detection and Hovering",
   "zh": "视-声面板识别与悬停",
   "level": "l3"
  },
  "CAP_406c890e": {
   "en": "IAUV Tool Engagement and Drive Activation",
   "zh": "I-AUV 工具啮合与驱动启动",
   "level": "l3"
  },
  "CAP_77952c91": {
   "en": "Subsea Resident Tool Exchange and Continuous Operation Pipeline",
   "zh": "海底常驻工具换装与连续作业流水线",
   "level": "l2"
  },
  "CAP_79fc1e2e": {
   "en": "Resident Vehicle Undock and Tool Basket Retrieval",
   "zh": "常驻航行器脱坞与工具篮取工具",
   "level": "l3"
  },
  "CAP_cfbfc019": {
   "en": "OROC-Piloted Transit to Worksite",
   "zh": "OROC 远程驾驶到作业点",
   "level": "l3"
  },
  "CAP_e030bfd6": {
   "en": "Omnio Drive Interface Tool Engagement",
   "zh": "Omnio 机电接口工具对接",
   "level": "l3"
  },
  "CAP_1630ae57": {
   "en": "Tool Return and Redock Cycle",
   "zh": "工具归还与回坞循环",
   "level": "l3"
  },
  "CAP_0ba37593": {
   "en": "Discrete Action Token VLA",
   "zh": "离散动作 token 自回归 VLA",
   "level": "l2"
  },
  "CAP_4a0a8b34": {
   "en": "VLA Backbone Initialization",
   "zh": "VLA 视觉-语言主干初始化",
   "level": "l3"
  },
  "CAP_dc212c7c": {
   "en": "Cross-Embodiment Co-Fine-Tuning",
   "zh": "跨本体协同微调",
   "level": "l3"
  },
  "CAP_2ea3c58f": {
   "en": "Closed-Loop VLA Inference & Deployment",
   "zh": "闭环 VLA 推理与部署",
   "level": "l3"
  },
  "CAP_b92c8918": {
   "en": "Continuous-Action Diffusion VLA",
   "zh": "连续动作扩散 VLA",
   "level": "l2"
  },
  "CAP_5feec0cb": {
   "en": "VLM Backbone for VLA",
   "zh": "VLA 视觉-语言主干",
   "level": "l3"
  },
  "CAP_2c7004de": {
   "en": "Continuous Action Chunking & Flow Decoding",
   "zh": "连续动作分块与流匹配解码",
   "level": "l3"
  },
  "CAP_a0f1ef1f": {
   "en": "Diffusion Transformer Cross-Attention Backbone",
   "zh": "扩散 Transformer 交叉注意力主干",
   "level": "l3"
  },
  "CAP_2ae254be": {
   "en": "Cross-Embodiment Pre-training & Fine-tuning",
   "zh": "跨本体预训练与微调",
   "level": "l3"
  },
  "CAP_f13bdc9f": {
   "en": "High-Level Semantic Reasoning VLM",
   "zh": "高层语义推理 VLM",
   "level": "l3"
  },
  "CAP_ced3e245": {
   "en": "Atom Command Interface",
   "zh": "原子命令接口",
   "level": "l3"
  },
  "CAP_c8115699": {
   "en": "Two-Frequency Decoupling Control",
   "zh": "双频解耦控制",
   "level": "l3"
  },
  "CAP_fc026a1e": {
   "en": "Low-Level VLA Execution",
   "zh": "低层 VLA 执行",
   "level": "l3"
  },
  "CAP_548064d6": {
   "en": "Synthetic Data Generation for High-Level",
   "zh": "高层合成数据生成",
   "level": "l3"
  },
  "CAP_c7440d5c": {
   "en": "Agent-Loop Tool Orchestration",
   "zh": "Agent Loop 工具编排",
   "level": "l3"
  },
  "CAP_d4c854e9": {
   "en": "Action-Conditioned World Model Pretraining",
   "zh": "动作条件世界模型预训练",
   "level": "l3"
  },
  "CAP_07012062": {
   "en": "Observation-to-World-Model Encoding",
   "zh": "观测编码进世界模型",
   "level": "l3"
  },
  "CAP_f1fb4a86": {
   "en": "Goal-State Generation via Embodied Diffusion",
   "zh": "具身扩散目标状态生成",
   "level": "l3"
  },
  "CAP_cba23d3d": {
   "en": "Interaction Token Sequence Reasoning",
   "zh": "交互 token 序列推理",
   "level": "l3"
  },
  "CAP_5b2e3b2f": {
   "en": "Goal-Conditioned Visual Rollout & Planning",
   "zh": "目标条件视觉规划",
   "level": "l3"
  },
  "CAP_3bd421b1": {
   "en": "Future-to-Action Derivation",
   "zh": "未来→动作导出",
   "level": "l3"
  },
  "CAP_93f5a70d": {
   "en": "Text Query Interpretation and Prompt Engineering",
   "zh": "文本查询解析与提示工程",
   "level": "l3"
  },
  "CAP_8335e448": {
   "en": "Masked Point Cloud Grasp Generation",
   "zh": "掩膜点云抓取生成",
   "level": "l3"
  },
  "CAP_e528cb4f": {
   "en": "Tracking-based Re-grasping",
   "zh": "跟踪式重抓取",
   "level": "l3"
  },
  "CAP_1300df7b": {
   "en": "Affordance Map Grasp Sampling",
   "zh": "可供性地图抓取采样",
   "level": "l3"
  },
  "CAP_27b468ce": {
   "en": "Dexterous Hand Grasp VLA",
   "zh": "灵巧手抓取VLA",
   "level": "l3"
  },
  "CAP_69d59759": {
   "en": "Reconstruction Architecture Selection",
   "zh": "重构架构选择",
   "level": "l3"
  },
  "CAP_91e11d57": {
   "en": "Teacher-Student Discrepancy Scoring",
   "zh": "师生特征失配评分",
   "level": "l3"
  },
  "CAP_cd1370ee": {
   "en": "Offline Play Data Ingestion",
   "zh": "离线玩耍数据摄入",
   "level": "l3"
  },
  "CAP_caae30a9": {
   "en": "Subtrajectory Sampling from Play Data",
   "zh": "玩耍数据子轨迹采样",
   "level": "l3"
  },
  "CAP_2bab8285": {
   "en": "KL Regularized RL Training",
   "zh": "KL 正则化 RL 训练",
   "level": "l3"
  },
  "CAP_f3582c55": {
   "en": "Skill Prior Transfer Fine-tuning",
   "zh": "技能先验迁移微调",
   "level": "l3"
  },
  "CAP_0291cf4c": {
   "en": "Skill Posterior Learning",
   "zh": "技能后验学习",
   "level": "l3"
  },
  "CAP_274a4d88": {
   "en": "Demo Discriminator Training",
   "zh": "演示判别器训练",
   "level": "l3"
  },
  "CAP_36c924bd": {
   "en": "Adversarial Skill Embedding Pretraining",
   "zh": "对抗式技能嵌入预训练",
   "level": "l3"
  },
  "CAP_32759ebf": {
   "en": "Skill Embedding Downstream Transfer",
   "zh": "技能嵌入下游任务迁移",
   "level": "l2"
  },
  "CAP_5afe9662": {
   "en": "Skill Embedding Downstream Execution",
   "zh": "技能嵌入下游执行",
   "level": "l3"
  },
  "CAP_0e4278fd": {
   "en": "Unsupervised Symbolic Predicate Invention",
   "zh": "无监督符号谓词发明",
   "level": "l2"
  },
  "CAP_11003584": {
   "en": "Relative Pose Gaussian Predicate Fitting",
   "zh": "相对位姿高斯谓词拟合",
   "level": "l3"
  },
  "CAP_2d14765e": {
   "en": "VLM Reference Object Identification",
   "zh": "VLM 参考物体识别",
   "level": "l3"
  },
  "CAP_c91f3dc2": {
   "en": "Symbolic Operator Invention",
   "zh": "符号操作符发明",
   "level": "l3"
  },
  "CAP_85952516": {
   "en": "SE(3) Stable Skill Learning",
   "zh": "SE(3) 稳定技能学习",
   "level": "l3"
  },
  "CAP_6b56adeb": {
   "en": "Symbolic A* Planning",
   "zh": "符号 A* 规划",
   "level": "l3"
  },
  "CAP_5682fc94": {
   "en": "Unsupervised VOS",
   "zh": "无监督视频物体分割",
   "level": "l2"
  },
  "CAP_3cf933fa": {
   "en": "Optical Flow Occlusion Estimation",
   "zh": "光流与遮挡估计",
   "level": "l3"
  },
  "CAP_33ba2ff2": {
   "en": "Motion-Attentive Transition Fusion",
   "zh": "运动注意力过渡融合",
   "level": "l3"
  },
  "CAP_c43b50fe": {
   "en": "Primary Object Mask Decoding",
   "zh": "主要物体掩码解码",
   "level": "l3"
  },
  "CAP_93cd59d0": {
   "en": "Two-Stage DUTS-DAVIS Training",
   "zh": "DUTS-DAVIS 两阶段训练",
   "level": "l3"
  },
  "CAP_921f2dbb": {
   "en": "MOVi ARI Evaluation",
   "zh": "MOVi ARI 评测",
   "level": "l3"
  },
  "CAP_dbb6144e": {
   "en": "Multi-Object Masklet Output",
   "zh": "多目标 Masklet 输出",
   "level": "l3"
  },
  "CAP_37d22228": {
   "en": "Unsupervised VOS Benchmark Evaluation",
   "zh": "无监督视频物体分割基准评测",
   "level": "l3"
  },
  "CAP_c77065fa": {
   "en": "Hardware Watchdog Rollback Trigger",
   "zh": "硬件看门狗回滚触发",
   "level": "l3"
  },
  "CAP_956a9869": {
   "en": "BLS Boot Counter Automatic Fallback",
   "zh": "BLS启动计数自动回退",
   "level": "l3"
  },
  "CAP_45f3f4d5": {
   "en": "User Authentication",
   "zh": "用户身份认证",
   "level": "l2"
  },
  "CAP_85a46a3f": {
   "en": "PAM Config Stack Dispatch",
   "zh": "PAM 配置解析与 stack 调度",
   "level": "l3"
  },
  "CAP_886e8d28": {
   "en": "Password Hash Verification",
   "zh": "密码 hash 校验",
   "level": "l3"
  },
  "CAP_fa591b37": {
   "en": "Brute Force Protection Faillock",
   "zh": "登录防爆破与账户锁定",
   "level": "l3"
  },
  "CAP_34c5f107": {
   "en": "Password Strength Enforcement",
   "zh": "密码强度策略执行",
   "level": "l3"
  },
  "CAP_61ff3fc9": {
   "en": "LDAP AD Backend Integration",
   "zh": "LDAP/AD 中心化账户集成",
   "level": "l3"
  },
  "CAP_a84dde50": {
   "en": "Fingerprint Minutiae Matching",
   "zh": "指纹细节点提取与匹配",
   "level": "l3"
  },
  "CAP_557c0ad7": {
   "en": "CTAP Device Communication",
   "zh": "CTAP 设备发现与通信",
   "level": "l3"
  },
  "CAP_508b4436": {
   "en": "FIDO2 Credential Registration",
   "zh": "凭证注册",
   "level": "l3"
  },
  "CAP_e20e95f3": {
   "en": "Platform Authenticator Integration",
   "zh": "平台认证器集成",
   "level": "l3"
  },
  "CAP_8d994847": {
   "en": "OpenSSH FIDO2 Integration",
   "zh": "OpenSSH FIDO2 集成",
   "level": "l3"
  },
  "CAP_9ffb8d02": {
   "en": "AccountLockoutPolicy",
   "zh": "账户锁定策略",
   "level": "l3"
  },
  "CAP_c20b01f1": {
   "en": "Bidirectional HRI Alignment Pipeline",
   "zh": "双向人机价值对齐流水线",
   "level": "l2"
  },
  "CAP_e5a83296": {
   "en": "ITAL Value Inference",
   "zh": "ITAL 价值推断",
   "level": "l3"
  },
  "CAP_38373897": {
   "en": "Preference Model Inference Deployment",
   "zh": "偏好模型推理部署",
   "level": "l3"
  },
  "CAP_c6f88b1e": {
   "en": "Sensor Reliability Estimation",
   "zh": "传感器可靠性估计",
   "level": "l3"
  },
  "CAP_1be0a07f": {
   "en": "nuXmv Formal Verification",
   "zh": "nuXmv 形式化验证",
   "level": "l3"
  },
  "CAP_6aa02067": {
   "en": "Proposal Generation for Value Inference",
   "zh": "价值推断提案生成",
   "level": "l3"
  },
  "CAP_8453c88d": {
   "en": "XAI Explanation Generation",
   "zh": "XAI 解释生成",
   "level": "l3"
  },
  "CAP_bbefa115": {
   "en": "Policy Update from Value Inference",
   "zh": "价值推断策略更新",
   "level": "l3"
  },
  "CAP_6780ef2d": {
   "en": "Dialogue Act Driven Satisfaction Joint Estimation",
   "zh": "对话行为驱动满意度联合估计",
   "level": "l2"
  },
  "CAP_89442640": {
   "en": "Hierarchical Dialogue Context Encoding",
   "zh": "对话上下文层次编码",
   "level": "l3"
  },
  "CAP_b6734e9b": {
   "en": "Dialogue Act Sequence Modeling",
   "zh": "对话行为序列建模",
   "level": "l3"
  },
  "CAP_eb133228": {
   "en": "DAR-Conditioned Satisfaction Prediction",
   "zh": "DAR 条件满意度预测",
   "level": "l3"
  },
  "CAP_ed25b4a1": {
   "en": "Self-Supervised Contrastive Satisfaction Prediction",
   "zh": "自监督对比式满意度预测",
   "level": "l2"
  },
  "CAP_1348f27f": {
   "en": "Utterance Contrastive Pretraining",
   "zh": "Utterance 对比预训练",
   "level": "l3"
  },
  "CAP_cee41687": {
   "en": "Few-Shot Satisfaction Transfer",
   "zh": "Few-shot 满意度迁移",
   "level": "l3"
  },
  "CAP_84d71dab": {
   "en": "Turn-Level Satisfaction Classification",
   "zh": "Turn 级满意度分类",
   "level": "l3"
  },
  "CAP_aa1c4b50": {
   "en": "Service Satisfaction & Human-Handoff Joint Prediction",
   "zh": "客服满意度与人机切换联合预测",
   "level": "l2"
  },
  "CAP_30dc8539": {
   "en": "Role-Selected Shared Encoding",
   "zh": "角色选择共享编码",
   "level": "l3"
  },
  "CAP_2f12ddab": {
   "en": "Role-Based Task Decoupling",
   "zh": "基于角色的任务解耦",
   "level": "l3"
  },
  "CAP_facee2d0": {
   "en": "Local Satisfaction Bridge Modeling",
   "zh": "局部满意度桥梁建模",
   "level": "l3"
  },
  "CAP_9c622a44": {
   "en": "Handoff Decision Prediction",
   "zh": "人机切换决策预测",
   "level": "l3"
  },
  "CAP_c55c0606": {
   "en": "User-Simulator-Driven Satisfaction Evaluation",
   "zh": "用户模拟器驱动满意度评估",
   "level": "l2"
  },
  "CAP_08a6a225": {
   "en": "User Goal & Agenda Sampling",
   "zh": "用户目标与 agenda 采样",
   "level": "l3"
  },
  "CAP_79979bd2": {
   "en": "User Simulator Dialogue Rollout",
   "zh": "用户模拟器对话 rollout",
   "level": "l3"
  },
  "CAP_0e6503b6": {
   "en": "Simulated Satisfaction Scoring",
   "zh": "模拟满意度评分",
   "level": "l3"
  },
  "CAP_d86875ac": {
   "en": "System-Level Quality Aggregation",
   "zh": "系统级质量聚合",
   "level": "l3"
  },
  "CAP_75d820ea": {
   "en": "TWR Ranging and Trilateration",
   "zh": "TWR双向测距与三边定位",
   "level": "l2"
  },
  "CAP_c50585ec": {
   "en": "DW1000 Transceiver Configuration",
   "zh": "DW1000收发器配置与天线延迟校准",
   "level": "l3"
  },
  "CAP_a29c2a9c": {
   "en": "DS-TWR Ranging Protocol",
   "zh": "双边双向测距协议",
   "level": "l3"
  },
  "CAP_d0f7f655": {
   "en": "Multi-Anchor Range Aggregation",
   "zh": "多锚点测距聚合",
   "level": "l3"
  },
  "CAP_03623d6b": {
   "en": "TWR Position Output",
   "zh": "TWR位置输出",
   "level": "l3"
  },
  "CAP_743c6ce0": {
   "en": "TDoA Synchronized Localization",
   "zh": "TDoA同步锚点双曲线定位",
   "level": "l2"
  },
  "CAP_5b34f6b6": {
   "en": "Anchor Clock Synchronization",
   "zh": "锚点时钟同步",
   "level": "l3"
  },
  "CAP_6e66a664": {
   "en": "Tag Blink Reception and Timestamping",
   "zh": "标签广播接收与时间戳",
   "level": "l3"
  },
  "CAP_c6832daa": {
   "en": "TDoA Difference Computation",
   "zh": "到达时间差计算",
   "level": "l3"
  },
  "CAP_473575dc": {
   "en": "TDoA Outlier and Sync-Loss Detection",
   "zh": "TDoA异常与同步丢失检测",
   "level": "l3"
  },
  "CAP_15bbe962": {
   "en": "TDoA Position Output",
   "zh": "TDoA位置输出",
   "level": "l3"
  },
  "CAP_f9d33972": {
   "en": "PDoA Angle of Arrival Localization",
   "zh": "PDoA到达角极坐标定位",
   "level": "l2"
  },
  "CAP_6fce80f5": {
   "en": "DW3000 PDoA Transceiver Configuration",
   "zh": "DW3000 PDoA收发器配置与STS设置",
   "level": "l3"
  },
  "CAP_9d4b322b": {
   "en": "STS-Secured Ranging and Phase Acquisition",
   "zh": "STS安全测距与相位采集",
   "level": "l3"
  },
  "CAP_5c40fdd5": {
   "en": "PDoA Computation and Unwrapping",
   "zh": "PDoA相位差计算与解卷绕",
   "level": "l3"
  },
  "CAP_e340c98a": {
   "en": "AoA Calibration and NLOS Detection",
   "zh": "到达角校准与非视距检测",
   "level": "l3"
  },
  "CAP_6dbcc8c8": {
   "en": "Polar Coordinate Localization Solver",
   "zh": "极坐标定位解算",
   "level": "l3"
  },
  "CAP_94e34c97": {
   "en": "AoA Position and Key Decision Output",
   "zh": "AoA位置输出与钥匙决策",
   "level": "l3"
  },
  "CAP_5900348b": {
   "en": "Fused State Estimation Output",
   "zh": "融合状态估计输出",
   "level": "l3"
  },
  "CAP_97898e75": {
   "en": "UWB Anchor Tag Discovery",
   "zh": "UWB 锚点标签发现",
   "level": "l3"
  },
  "CAP_66a6792e": {
   "en": "UWB Anchor Clock Synchronization",
   "zh": "UWB 锚点时钟同步",
   "level": "l3"
  },
  "CAP_4c8ef366": {
   "en": "UWB Tag Blink Broadcast",
   "zh": "UWB 标签 Blink 广播",
   "level": "l3"
  },
  "CAP_4fd52e3b": {
   "en": "UWB Hyperbolic Multilateration Solver",
   "zh": "UWB 双曲线多边定位解算",
   "level": "l3"
  },
  "CAP_f9c5ef56": {
   "en": "Vacuum Gripper Bin Picking",
   "zh": "吸盘料箱拣取",
   "level": "l2"
  },
  "CAP_1c98ca71": {
   "en": "Grasp Pressure Setpoint Planning",
   "zh": "抓取压力设定值规划",
   "level": "l2"
  },
  "CAP_a77510da": {
   "en": "Pick Dynamics Pressure Compensation",
   "zh": "抓取动态压力补偿",
   "level": "l3"
  },
  "CAP_bb174edf": {
   "en": "Multi-Cup Pressure Allocation",
   "zh": "多吸盘压力分配",
   "level": "l2"
  },
  "CAP_4fbef694": {
   "en": "Compressed-Air Energy Saving Management",
   "zh": "压缩空气节能管理",
   "level": "l3"
  },
  "CAP_526f2fd2": {
   "en": "Reference Policy Log Probability Cache",
   "zh": "参考策略对数概率缓存",
   "level": "l3"
  },
  "CAP_4daf7b74": {
   "en": "Dual Preference Model Training",
   "zh": "双偏好模型训练（奖励 + 代价）",
   "level": "l3"
  },
  "CAP_0ab7d131": {
   "en": "ITAL Value Inference Engine",
   "zh": "ITAL 价值推断引擎",
   "level": "l3"
  },
  "CAP_c0006a38": {
   "en": "Dual-Agent Collaborative Task Framework",
   "zh": "双 agent 协作任务框架",
   "level": "l3"
  },
  "CAP_a01c0aef": {
   "en": "Static Value Benchmark Evaluation",
   "zh": "静态价值观基准评测",
   "level": "l2"
  },
  "CAP_a901e7ae": {
   "en": "Value Scenario Dataset Loading",
   "zh": "价值场景题库加载",
   "level": "l3"
  },
  "CAP_59fa8a22": {
   "en": "Evaluated Model Inference",
   "zh": "待评测模型推理",
   "level": "l3"
  },
  "CAP_56a85cdb": {
   "en": "Reference-based Objective Scoring",
   "zh": "参考对齐客观评分",
   "level": "l3"
  },
  "CAP_7f8e71b8": {
   "en": "Value Dimension Aggregation",
   "zh": "价值维度聚合",
   "level": "l3"
  },
  "CAP_d9d0a031": {
   "en": "Attack Success Rate Aggregation",
   "zh": "攻击成功率聚合",
   "level": "l3"
  },
  "CAP_52d02f90": {
   "en": "LLM-as-Judge Rubric Scoring",
   "zh": "LLM-as-Judge 价值观评分",
   "level": "l2"
  },
  "CAP_eb5e9aa9": {
   "en": "Judge Rubric & Dimension Definition",
   "zh": "评判 rubric 与维度定义",
   "level": "l3"
  },
  "CAP_100da4a7": {
   "en": "Multi-dimension Score Aggregation",
   "zh": "多维分数聚合",
   "level": "l3"
  },
  "CAP_1d199c98": {
   "en": "Target Network TD Target Computation",
   "zh": "目标网络 TD 目标计算",
   "level": "l3"
  },
  "CAP_e20b18b0": {
   "en": "TD Error Loss Minimization",
   "zh": "TD 误差损失最小化",
   "level": "l3"
  },
  "CAP_71e294fb": {
   "en": "Value Function Readout and Deployment",
   "zh": "值函数读出与部署",
   "level": "l2"
  },
  "CAP_25e369fe": {
   "en": "Greedy Action Extraction from Q",
   "zh": "Q值贪心动作提取",
   "level": "l3"
  },
  "CAP_acf6570b": {
   "en": "Q-Network Inference Deployment",
   "zh": "Q网络推理部署",
   "level": "l3"
  },
  "CAP_0fd80c2c": {
   "en": "Distributional Loss Minimization",
   "zh": "分布式损失最小化",
   "level": "l2"
  },
  "CAP_475dfa13": {
   "en": "Categorical Cross-Entropy Loss",
   "zh": "categorical 交叉熵损失",
   "level": "l3"
  },
  "CAP_1657cafd": {
   "en": "GP Kernel Matrix Extraction",
   "zh": "高斯过程核矩阵提取",
   "level": "l3"
  },
  "CAP_c601cc59": {
   "en": "Human Motion Acceleration-Based Admittance Gain Scaling",
   "zh": "人类运动加速度驱动导纳增益缩放",
   "level": "l3"
  },
  "CAP_201a0d3b": {
   "en": "Impedance Recovery",
   "zh": "阻抗恢复",
   "level": "l3"
  },
  "CAP_a61aeb6a": {
   "en": "Antagonistic Co-Contraction Control",
   "zh": "拮抗式共收缩控制",
   "level": "l3"
  },
  "CAP_a9e8a702": {
   "en": "Layer Jamming Stiffness Modulation",
   "zh": "层堵塞变刚度调制",
   "level": "l3"
  },
  "CAP_bbb6e132": {
   "en": "Fiber Jamming Stiffness Modulation",
   "zh": "纤维堵塞变刚度调制",
   "level": "l3"
  },
  "CAP_ac029072": {
   "en": "Vectorized Preprocessing and Management",
   "zh": "向量化预处理与管理",
   "level": "l3"
  },
  "CAP_ea5d0ed8": {
   "en": "GPU Device-Side Interaction",
   "zh": "GPU 设备端交互",
   "level": "l3"
  },
  "CAP_086bfe1b": {
   "en": "EnvPool Creation and Configuration",
   "zh": "EnvPool 创建与配置",
   "level": "l2"
  },
  "CAP_dd1b941c": {
   "en": "EnvPool Advanced Integration",
   "zh": "EnvPool 高级集成",
   "level": "l2"
  },
  "CAP_00b88201": {
   "en": "Manager-Based Environment Modular Composition",
   "zh": "基于管理器的环境模块化组合",
   "level": "l3"
  },
  "CAP_19e1bcb1": {
   "en": "Direct Environment Single-Class Workflow",
   "zh": "直接式环境单类工作流",
   "level": "l3"
  },
  "CAP_9c6a1e83": {
   "en": "XLA JAX Integration Interface",
   "zh": "XLA JAX 集成接口",
   "level": "l3"
  },
  "CAP_8253a86d": {
   "en": "Batched Rendering Interface",
   "zh": "批量化渲染接口",
   "level": "l3"
  },
  "CAP_e31818c0": {
   "en": "Static Friction Feedforward Law",
   "zh": "静态摩擦前馈律",
   "level": "l3"
  },
  "CAP_bb3f861f": {
   "en": "LuGre Dynamic Feedforward Law",
   "zh": "LuGre 动态前馈律",
   "level": "l3"
  },
  "CAP_8939078a": {
   "en": "Friction Feedforward Injection into Velocity Loop",
   "zh": "摩擦前馈注入速度环",
   "level": "l3"
  },
  "CAP_9ad69a9d": {
   "en": "Velocity Loop PID with Feedforward Execution",
   "zh": "速度环 PID 前馈执行",
   "level": "l3"
  },
  "CAP_126070ff": {
   "en": "Dynamic Obstacle Perception And VO Construction",
   "zh": "动态障碍感知与 VO 构造",
   "level": "l2"
  },
  "CAP_80033740": {
   "en": "Velocity Space Exclusion And Optimal Selection",
   "zh": "速度空间排除与最优速度选择",
   "level": "l2"
  },
  "CAP_2de90dc5": {
   "en": "VO Cone Membership Test",
   "zh": "VO 锥内外判定",
   "level": "l3"
  },
  "CAP_3c6046d1": {
   "en": "Deceleration Point Computation",
   "zh": "减速点计算",
   "level": "l3"
  },
  "CAP_81ae7509": {
   "en": "Preferred Velocity Generation (Classic VO)",
   "zh": "期望速度生成（经典 VO）",
   "level": "l3"
  },
  "CAP_86a79635": {
   "en": "Receding Horizon VO Replanning",
   "zh": "滚动时域避障重算",
   "level": "l3"
  },
  "CAP_40720de5": {
   "en": "ORCA Simulation Step And Goal Check",
   "zh": "ORCA 仿真步进与目标判定",
   "level": "l3"
  },
  "CAP_f3ae171e": {
   "en": "HRVO Agent And Goal Injection",
   "zh": "HRVO 智能体与目标注入",
   "level": "l3"
  },
  "CAP_032d367d": {
   "en": "VO State Observation Construction",
   "zh": "VO 状态观测构造",
   "level": "l3"
  },
  "CAP_9f17daad": {
   "en": "Drive-Embedded Trajectory Generation",
   "zh": "驱动器内嵌轨迹生成",
   "level": "l3"
  },
  "CAP_8e101988": {
   "en": "PLCopen Axis Configuration and Enable",
   "zh": "PLCopen 轴配置与使能",
   "level": "l2"
  },
  "CAP_5e9d39f0": {
   "en": "PLCopen S-Curve Profile Generation and Dispatch",
   "zh": "PLCopen S 曲线生成与下发",
   "level": "l2"
  },
  "CAP_a431d0da": {
   "en": "PLCopen Axis Configuration",
   "zh": "PLCopen 轴配置",
   "level": "l3"
  },
  "CAP_5e1b3306": {
   "en": "PLCopen Axis Power Enable",
   "zh": "PLCopen 轴使能",
   "level": "l3"
  },
  "CAP_869dca36": {
   "en": "S-Curve Position Profile Generation",
   "zh": "S 曲线位置曲线生成",
   "level": "l3"
  },
  "CAP_1d42f8d6": {
   "en": "Velocity Ramp Continuous Generation",
   "zh": "速度斜坡连续生成",
   "level": "l3"
  },
  "CAP_e109de98": {
   "en": "Segment Blending and Velocity Override",
   "zh": "段间衔接与速度覆盖",
   "level": "l3"
  },
  "CAP_a9db30b3": {
   "en": "JTC Interpolation and Dispatch",
   "zh": "JTC 插值与下发",
   "level": "l2"
  },
  "CAP_e3b43a39": {
   "en": "JointTrajectory Reception and Replacement",
   "zh": "JointTrajectory 接收与替换",
   "level": "l3"
  },
  "CAP_db335388": {
   "en": "Waypoint Time Interpolation Setpoint Generation",
   "zh": "航点时间插值设定值生成",
   "level": "l3"
  },
  "CAP_4d2cdf55": {
   "en": "Tolerance Constraint Limiting",
   "zh": "容差约束限幅",
   "level": "l3"
  },
  "CAP_e21b542a": {
   "en": "libfranka Real-Time Reference Generation and Safety",
   "zh": "libfranka 实时参考生成与安全",
   "level": "l2"
  },
  "CAP_f89e5303": {
   "en": "ST-Graph Speed Optimization",
   "zh": "ST 图速度优化",
   "level": "l2"
  },
  "CAP_d1c9db62": {
   "en": "Path Velocity Boundary Computation",
   "zh": "路径速度边界计算",
   "level": "l3"
  },
  "CAP_dd9a89b2": {
   "en": "Apollo DP Speed Search",
   "zh": "Apollo DP 速度粗搜索",
   "level": "l3"
  },
  "CAP_b7baf7b3": {
   "en": "Piecewise-Jerk QP Formulation",
   "zh": "分段 jerk QP 构造",
   "level": "l3"
  },
  "CAP_745ff773": {
   "en": "OSQP Speed Solving",
   "zh": "OSQP 速度求解",
   "level": "l3"
  },
  "CAP_5c26cef8": {
   "en": "NLP Speed Refinement",
   "zh": "NLP 速度精修",
   "level": "l3"
  },
  "CAP_8d05e3f3": {
   "en": "Apollo Speed Trajectory Publishing",
   "zh": "Apollo 速度轨迹发布",
   "level": "l3"
  },
  "CAP_09630c6b": {
   "en": "OTG Input Assembly",
   "zh": "OTG 输入装配",
   "level": "l3"
  },
  "CAP_3dbbf5fa": {
   "en": "OTG Case Classification",
   "zh": "OTG case 分类",
   "level": "l3"
  },
  "CAP_1707d31b": {
   "en": "Seven-Step Jerk Profile Solving",
   "zh": "七段 jerk 序列解析求解",
   "level": "l3"
  },
  "CAP_f7b148de": {
   "en": "Multi-DoF Trajectory Synchronization",
   "zh": "多自由度轨迹同步",
   "level": "l3"
  },
  "CAP_1bc20e1d": {
   "en": "OTG Trajectory Object Construction",
   "zh": "OTG 轨迹对象构建",
   "level": "l3"
  },
  "CAP_ddef793a": {
   "en": "OTG Hardware Dispatch",
   "zh": "OTG 硬件派发",
   "level": "l3"
  },
  "CAP_5ab867b7": {
   "en": "Velocity Smoother Path Resampling",
   "zh": "速度平滑器路径重采样",
   "level": "l3"
  },
  "CAP_e0ef3a66": {
   "en": "External Velocity Boundary Collection",
   "zh": "外部速度边界收集",
   "level": "l3"
  },
  "CAP_9fb06315": {
   "en": "Forward Velocity Filtering",
   "zh": "前向速度滤波",
   "level": "l3"
  },
  "CAP_b467bb73": {
   "en": "Backward Velocity Filtering",
   "zh": "后向速度滤波",
   "level": "l3"
  },
  "CAP_9517977e": {
   "en": "QP Velocity Smoothing",
   "zh": "QP 速度平滑",
   "level": "l3"
  },
  "CAP_dfba750d": {
   "en": "Smoothed Time Parameterization",
   "zh": "平滑时间参数化",
   "level": "l3"
  },
  "CAP_31a0d684": {
   "en": "Smoothed Trajectory Publishing",
   "zh": "平滑轨迹发布",
   "level": "l3"
  },
  "CAP_658146a8": {
   "en": "Industrial Motion Command Parsing",
   "zh": "工业运动指令解析",
   "level": "l3"
  },
  "CAP_df0ec62c": {
   "en": "Velocity Profile Template Selection",
   "zh": "速度曲线模板选择",
   "level": "l3"
  },
  "CAP_02921795": {
   "en": "Trapezoidal S-curve Time Scaling",
   "zh": "梯形/S型速度曲线时间缩放",
   "level": "l3"
  },
  "CAP_5d0cb0cc": {
   "en": "Profile Constraint Verification",
   "zh": "速度曲线约束校验",
   "level": "l3"
  },
  "CAP_18c11aef": {
   "en": "Waypoint Time Initialization",
   "zh": "waypoint 时间初始化",
   "level": "l3"
  },
  "CAP_ea725372": {
   "en": "Iterative Time Interval Tightening",
   "zh": "迭代时间间隔收紧",
   "level": "l3"
  },
  "CAP_79e05aa0": {
   "en": "Closed-Loop Wheel Velocity Tracking Control",
   "zh": "闭环轮速跟踪控制",
   "level": "l2"
  },
  "CAP_08234718": {
   "en": "Four-Wheel Velocity State Acquisition",
   "zh": "四轮速度状态采集",
   "level": "l3"
  },
  "CAP_cb7c2538": {
   "en": "Mecanum Inverse Kinematics",
   "zh": "麦克纳姆轮逆运动学",
   "level": "l3"
  },
  "CAP_411988d1": {
   "en": "Platform Velocity Execution and Closed-loop Update",
   "zh": "平台速度执行与闭环更新",
   "level": "l3"
  },
  "CAP_c212c35f": {
   "en": "EKF Velocity Feedback with Reset Compensation",
   "zh": "EKF 速度反馈与 reset 补偿",
   "level": "l3"
  },
  "CAP_8425a1a1": {
   "en": "Velocity and Tilt Limiting",
   "zh": "速度限幅与倾斜角限制",
   "level": "l3"
  },
  "CAP_4882ace8": {
   "en": "WBC DCM Wrench Generation",
   "zh": "WBC DCM 推力生成",
   "level": "l3"
  },
  "CAP_6d5e53a1": {
   "en": "Foot CoP ZMP Admittance Control",
   "zh": "足底 CoP ZMP 导纳控制",
   "level": "l3"
  },
  "CAP_1d0a2884": {
   "en": "WBC Two-Stage Wrench Distribution",
   "zh": "WBC 两级推力分配",
   "level": "l3"
  },
  "CAP_d27637de": {
   "en": "Joint Servo Velocity Loop Stabilization",
   "zh": "关节伺服速度环稳定",
   "level": "l2"
  },
  "CAP_1eefc3ca": {
   "en": "Contour Error Estimation",
   "zh": "轮廓误差与同步误差估计",
   "level": "l3"
  },
  "CAP_6c5c7ece": {
   "en": "Coupling Gain Matrix Update",
   "zh": "耦合增益矩阵更新",
   "level": "l3"
  },
  "CAP_d4422b30": {
   "en": "Cross-Coupled Compensation Computation",
   "zh": "交叉耦合补偿律计算",
   "level": "l3"
  },
  "CAP_d071bd04": {
   "en": "Virtual Master Position Generation",
   "zh": "虚拟主轴位置生成",
   "level": "l3"
  },
  "CAP_b635db7a": {
   "en": "Virtual Reference Broadcast",
   "zh": "虚拟参考同步广播",
   "level": "l3"
  },
  "CAP_3779033e": {
   "en": "Phase Difference Monitoring and Compensation",
   "zh": "相位差监测与补偿",
   "level": "l3"
  },
  "CAP_3acc0a93": {
   "en": "Master-Slave Electronic Gearing and Camming",
   "zh": "主从电子齿轮与电子凸轮同步",
   "level": "l2"
  },
  "CAP_5c9d9cfe": {
   "en": "Synchronization State Machine and Phasing",
   "zh": "同步状态机与相位管理",
   "level": "l3"
  },
  "CAP_6aeae05c": {
   "en": "Gantry Dual-Motor Skew Suppression Synchronization",
   "zh": "龙门双电机偏差抑制同步",
   "level": "l2"
  },
  "CAP_2b4dd332": {
   "en": "Dual Encoder Acquisition and Skew Computation",
   "zh": "双编码器采集与偏差计算",
   "level": "l3"
  },
  "CAP_e12070e3": {
   "en": "Skew Feedback Control",
   "zh": "偏差反馈控制律",
   "level": "l3"
  },
  "CAP_93ede827": {
   "en": "Skew Monitoring and Protection",
   "zh": "偏差监测与保护",
   "level": "l3"
  },
  "CAP_e3ae107a": {
   "en": "Synchronized Axis Closed-Loop Velocity Control",
   "zh": "同步轴闭环速度执行",
   "level": "l2"
  },
  "CAP_7bef75be": {
   "en": "Tactile Signal Preprocessing and Safety Constraint",
   "zh": "触觉信号预处理与安全约束计算",
   "level": "l3"
  },
  "CAP_4cbab948": {
   "en": "Direction Mapping and Intensity Encoding",
   "zh": "方向-位点映射与强度编码",
   "level": "l2"
  },
  "CAP_c91f5db9": {
   "en": "Body Array Layout Perceptual Optimization",
   "zh": "体表阵列布局感知优化",
   "level": "l3"
  },
  "CAP_9a873071": {
   "en": "Direction Mapping and Vibration Intensity Encoding",
   "zh": "方向-位点映射与振动强度编码",
   "level": "l3"
  },
  "CAP_611121a8": {
   "en": "Body Surface Vibrotactile Array Driving",
   "zh": "体表振动阵列驱动",
   "level": "l2"
  },
  "CAP_feb39fb3": {
   "en": "Multi Direction Simultaneous Cue Rendering",
   "zh": "多方向同时提示渲染",
   "level": "l3"
  },
  "CAP_910e60ff": {
   "en": "Vibrotactile Actuator Array Driving",
   "zh": "振动致动器阵列驱动",
   "level": "l3"
  },
  "CAP_3ef10839": {
   "en": "Tool Joint Vibration Signal Acquisition",
   "zh": "工具/关节振动信号采集",
   "level": "l3"
  },
  "CAP_9a7699e3": {
   "en": "Capture Position Optimization and SNR Calibration",
   "zh": "采集位置优化与信噪比标定",
   "level": "l3"
  },
  "CAP_32287d06": {
   "en": "Vibration Signal Processing and Filtering",
   "zh": "振动信号处理与滤波",
   "level": "l2"
  },
  "CAP_8c57e196": {
   "en": "Bandpass Filtering and Multi Axis Summing",
   "zh": "带通滤波与多轴求和",
   "level": "l3"
  },
  "CAP_a9d8db2e": {
   "en": "Ego Noise Subtraction and Intensity Normalization",
   "zh": "自噪声扣除与感知强度归一化",
   "level": "l3"
  },
  "CAP_69a1780c": {
   "en": "Waveform Faithful Vibrotactile Replay",
   "zh": "波形保真回放",
   "level": "l2"
  },
  "CAP_a2ed8911": {
   "en": "Voice Coil Actuator Waveform Replay",
   "zh": "音圈致动器波形回放",
   "level": "l3"
  },
  "CAP_c043634a": {
   "en": "Signal Fidelity Cross Validation",
   "zh": "信号保真度交叉验证",
   "level": "l3"
  },
  "CAP_184be4b4": {
   "en": "Long-Context Video Activity Understanding",
   "zh": "长上下文视频活动理解",
   "level": "l2"
  },
  "CAP_709c4d4c": {
   "en": "Short-Term Visual Memory Buffering",
   "zh": "短期视觉记忆缓冲",
   "level": "l3"
  },
  "CAP_5d4e3d65": {
   "en": "Long-Context Positional Encoding Extension",
   "zh": "长上下文位置编码扩展",
   "level": "l3"
  },
  "CAP_f8bcbc49": {
   "en": "Long Video Activity QA Evaluation",
   "zh": "长视频活动 QA 评测",
   "level": "l3"
  },
  "CAP_45010483": {
   "en": "Retrieval-Augmented Long Video Understanding",
   "zh": "检索增强长视频理解",
   "level": "l2"
  },
  "CAP_42f6c797": {
   "en": "Auxiliary Visually-aligned Text Extraction",
   "zh": "视觉对齐辅助文本提取",
   "level": "l3"
  },
  "CAP_923d1236": {
   "en": "Structured Knowledge Index Construction",
   "zh": "结构化知识索引构建",
   "level": "l3"
  },
  "CAP_bac59062": {
   "en": "Query-Aware Multi-Modal Retrieval",
   "zh": "查询感知多模态检索",
   "level": "l3"
  },
  "CAP_bc8300e8": {
   "en": "Event Proposal",
   "zh": "事件边界提议",
   "level": "l3"
  },
  "CAP_2faa926c": {
   "en": "Event Caption Generation",
   "zh": "事件字幕生成",
   "level": "l3"
  },
  "CAP_224d3508": {
   "en": "Parameter-free Temporal Pooling Dense Captioning",
   "zh": "无参数时序 pooling 密集字幕",
   "level": "l3"
  },
  "CAP_595ee63e": {
   "en": "Timestamped Scene Logging",
   "zh": "时间戳化场景日志化",
   "level": "l3"
  },
  "CAP_40242d89": {
   "en": "Streaming Online Video Activity Understanding",
   "zh": "流式在线视频活动理解",
   "level": "l2"
  },
  "CAP_b8ebcbc8": {
   "en": "Streaming Rolling Memory Update",
   "zh": "流式滚动记忆在线更新",
   "level": "l3"
  },
  "CAP_340caee0": {
   "en": "Proactive Event Detection in Video Stream",
   "zh": "视频流主动事件检测",
   "level": "l3"
  },
  "CAP_9bb8640b": {
   "en": "Video Frame Sampling and Normalization",
   "zh": "视频帧采样与归一化",
   "level": "l3"
  },
  "CAP_0e13097c": {
   "en": "Spatial Transformer Motion Alignment",
   "zh": "空间变换器运动对齐",
   "level": "l3"
  },
  "CAP_fd5f072c": {
   "en": "Multi-scale Context Feature Fusion",
   "zh": "多尺度上下文特征融合",
   "level": "l3"
  },
  "CAP_d3ff6c57": {
   "en": "Flow-to-Density Map Reconstruction",
   "zh": "流到密度图重建",
   "level": "l3"
  },
  "CAP_7c4bd7b0": {
   "en": "3D Spatiotemporal Dilated Dense Convolution",
   "zh": "3D 时空膨胀稠密卷积",
   "level": "l2"
  },
  "CAP_85f9dff8": {
   "en": "Conv3D Spatial Temporal Decomposition",
   "zh": "Conv3D 时空分解",
   "level": "l3"
  },
  "CAP_85e3aa61": {
   "en": "Patchwise Regression Loss Training",
   "zh": "patch-wise 回归损失训练",
   "level": "l3"
  },
  "CAP_e4fa5357": {
   "en": "PDE-Constrained Physical Dynamics Branch",
   "zh": "PDE约束物理动力学分支",
   "level": "l3"
  },
  "CAP_dbe3c5f2": {
   "en": "Video Latent Encoding",
   "zh": "视频潜在编码",
   "level": "l3"
  },
  "CAP_f55a0568": {
   "en": "Stochastic Latent Multi-Step Rollout",
   "zh": "随机潜在多步展开",
   "level": "l3"
  },
  "CAP_eda491c8": {
   "en": "Frame Decoding and Adversarial Training",
   "zh": "帧解码与对抗训练",
   "level": "l3"
  },
  "CAP_9c4941ec": {
   "en": "Token Autoregressive Multi-Frame Rollout",
   "zh": "Token自回归多帧展开",
   "level": "l3"
  },
  "CAP_0badcbac": {
   "en": "Video Generation FVD Evaluation",
   "zh": "视频生成 FVD 评估",
   "level": "l3"
  },
  "CAP_7c355d8d": {
   "en": "Video Instance Segmentation",
   "zh": "视频实例分割",
   "level": "l2"
  },
  "CAP_e4f70e22": {
   "en": "Per-frame Mask R-CNN Detection & Segmentation",
   "zh": "逐帧 Mask R-CNN 检测分割",
   "level": "l3"
  },
  "CAP_0cc6db41": {
   "en": "Tracking Head Embedding Prediction",
   "zh": "跟踪头嵌入预测",
   "level": "l3"
  },
  "CAP_d5ebc6ba": {
   "en": "VIS Result Formatting",
   "zh": "VIS结果格式化",
   "level": "l3"
  },
  "CAP_c9d92f32": {
   "en": "Clip-level Instance Query Decoding",
   "zh": "Clip 级实例查询解码",
   "level": "l3"
  },
  "CAP_c5672c25": {
   "en": "Per-query Mask Sequence Decoding",
   "zh": "单查询掩码序列解码",
   "level": "l3"
  },
  "CAP_c4f21f44": {
   "en": "Per-frame Mask2Former Decoding",
   "zh": "逐帧 Mask2Former 解码",
   "level": "l3"
  },
  "CAP_bf9842ff": {
   "en": "Online Tracklet Memory Update",
   "zh": "在线轨迹记忆更新",
   "level": "l3"
  },
  "CAP_ddd65f6e": {
   "en": "Bipartite Query Matching",
   "zh": "二分图查询匹配",
   "level": "l3"
  },
  "CAP_37b465c6": {
   "en": "Contrastive Instance Embedding Association",
   "zh": "对比实例嵌入关联",
   "level": "l3"
  },
  "CAP_97b694c9": {
   "en": "Query Drift Detection",
   "zh": "查询漂移检测",
   "level": "l3"
  },
  "CAP_f027d29f": {
   "en": "Deformable DETR Query Refinement",
   "zh": "Deformable DETR 查询精修",
   "level": "l3"
  },
  "CAP_1555ecdf": {
   "en": "Instance Query Hand-off",
   "zh": "实例查询交接",
   "level": "l3"
  },
  "CAP_77a54323": {
   "en": "Per-frame Automatic Mask Generation",
   "zh": "逐帧自动掩码生成",
   "level": "l3"
  },
  "CAP_c0a2ac93": {
   "en": "BURST Open-vocab Tracking Evaluation",
   "zh": "BURST 开集跟踪评测",
   "level": "l3"
  },
  "CAP_37e62718": {
   "en": "Video Panoptic Segmentation Inference",
   "zh": "视频全景分割推理",
   "level": "l2"
  },
  "CAP_cde45e78": {
   "en": "Tracking-by-Detection Video Panoptic Fusion",
   "zh": "跟踪式两阶段视频全景融合",
   "level": "l2"
  },
  "CAP_167679c3": {
   "en": "End-to-End Mask Classification Video Panoptic Segmentation",
   "zh": "端到端掩码分类视频全景分割",
   "level": "l2"
  },
  "CAP_8a9c100b": {
   "en": "Decoupled Foundation Model Video Panoptic Segmentation",
   "zh": "解耦式基础模型视频全景分割",
   "level": "l2"
  },
  "CAP_371624be": {
   "en": "Video Panoptic Serialization",
   "zh": "视频全景序列化",
   "level": "l3"
  },
  "CAP_0add70e1": {
   "en": "VPQ and STQ Metric Computation",
   "zh": "VPQ 与 STQ 指标计算",
   "level": "l3"
  },
  "CAP_dc882f9e": {
   "en": "Cross-Frame Semantic Fusion",
   "zh": "跨帧语义融合",
   "level": "l3"
  },
  "CAP_24413619": {
   "en": "VPS Submission Packaging",
   "zh": "VPS 提交打包",
   "level": "l3"
  },
  "CAP_c968459e": {
   "en": "VPS Baseline Comparison",
   "zh": "VPS 基线对比报告",
   "level": "l3"
  },
  "CAP_58402dab": {
   "en": "Long Video Clip Partitioning",
   "zh": "长视频子 clip 切分",
   "level": "l3"
  },
  "CAP_3aa5bbee": {
   "en": "Mask Query Initialization",
   "zh": "掩码查询初始化",
   "level": "l3"
  },
  "CAP_c7a81d94": {
   "en": "Cross-Frame Masked Attention Decoding",
   "zh": "跨帧掩码注意力解码",
   "level": "l3"
  },
  "CAP_2966283d": {
   "en": "Per-Clip Mask Classification",
   "zh": "单 clip 掩码分类",
   "level": "l3"
  },
  "CAP_5298fc4f": {
   "en": "Inter-Clip Query Temporal Association",
   "zh": "跨 clip 查询时序关联",
   "level": "l3"
  },
  "CAP_2163ae2a": {
   "en": "Instance Query Bipartite Matching",
   "zh": "实例查询二部图匹配",
   "level": "l3"
  },
  "CAP_59f6384f": {
   "en": "Cross-Clip Mask Fusion",
   "zh": "跨 clip 掩码融合",
   "level": "l3"
  },
  "CAP_c328ea7d": {
   "en": "Long-Term Memory Bank Update",
   "zh": "长时记忆库更新",
   "level": "l3"
  },
  "CAP_eb74db95": {
   "en": "Memory-Augmented Query Re-decoding",
   "zh": "记忆增强查询重解码",
   "level": "l3"
  },
  "CAP_18dd84c1": {
   "en": "VPS SOTA Comparison",
   "zh": "VPS SOTA 对比报告",
   "level": "l3"
  },
  "CAP_eeb36fae": {
   "en": "Image Segmentation Frontend Selection",
   "zh": "图像分割前端选择",
   "level": "l3"
  },
  "CAP_6da18571": {
   "en": "Long-Term Memory Bank Initialization",
   "zh": "长时记忆库初始化",
   "level": "l3"
  },
  "CAP_5333b413": {
   "en": "Cross-Chunk Memory Update",
   "zh": "跨 chunk 记忆库更新",
   "level": "l3"
  },
  "CAP_2491e4f7": {
   "en": "Five-Way Instance ID Assignment",
   "zh": "五路实例 ID 分配",
   "level": "l3"
  },
  "CAP_05207f2a": {
   "en": "Open-Vocabulary VPS Comparison",
   "zh": "开放词表 VPS 对比报告",
   "level": "l3"
  },
  "CAP_495a435d": {
   "en": "Feature-Level Temporal Warping Aggregation",
   "zh": "特征级时域扭曲聚合",
   "level": "l2"
  },
  "CAP_3549d6c9": {
   "en": "Optical Flow Guided Feature Warping",
   "zh": "光流引导特征扭曲",
   "level": "l3"
  },
  "CAP_428c0ea0": {
   "en": "Flow Transformation Network",
   "zh": "光流变换网络",
   "level": "l3"
  },
  "CAP_37badfb5": {
   "en": "Keyframe-Based Feature Propagation",
   "zh": "关键帧特征传播",
   "level": "l2"
  },
  "CAP_6cbbbeab": {
   "en": "Training-Time Temporal Modeling",
   "zh": "训练期时序建模与一致性嵌入",
   "level": "l2"
  },
  "CAP_ba969a4e": {
   "en": "Temporal Knowledge Distillation",
   "zh": "时序知识蒸馏",
   "level": "l3"
  },
  "CAP_b9896e05": {
   "en": "Video Prediction Auto-Labeling",
   "zh": "视频预测自动标注",
   "level": "l3"
  },
  "CAP_58b09485": {
   "en": "VINS Loop Closure VIO-SLAM Pipeline",
   "zh": "VINS回环型视觉惯性SLAM流水线",
   "level": "l2"
  },
  "CAP_d597b966": {
   "en": "In-State SLAM Feature EKF Update",
   "zh": "状态内SLAM特征EKF更新",
   "level": "l3"
  },
  "CAP_79e51e2d": {
   "en": "Loosely-Coupled Secondary Loop Closure",
   "zh": "松耦合二级回环检测",
   "level": "l3"
  },
  "CAP_b9ea4c34": {
   "en": "Keyframe Insertion Threshold Decision",
   "zh": "关键帧插入阈值决策",
   "level": "l3"
  },
  "CAP_540e067d": {
   "en": "Geodetic Polygon Fence Upload",
   "zh": "大地坐标多边形围栏勾绘与上传",
   "level": "l2"
  },
  "CAP_ff4f03ad": {
   "en": "Geodetic Polygon Vertex Drawing",
   "zh": "大地坐标多边形顶点勾绘",
   "level": "l3"
  },
  "CAP_429c1f20": {
   "en": "Filter Mask Map Copy",
   "zh": "过滤掩码地图复制",
   "level": "l3"
  },
  "CAP_cc560b05": {
   "en": "Keepout Polygon Mask Drawing",
   "zh": "禁行多边形掩码绘制",
   "level": "l3"
  },
  "CAP_95f35ee7": {
   "en": "Mask YAML Metadata Configuration",
   "zh": "掩码 YAML 元数据配置",
   "level": "l3"
  },
  "CAP_7bc54f96": {
   "en": "Mask Server Lifecycle Launch",
   "zh": "掩码服务器生命周期启动",
   "level": "l3"
  },
  "CAP_122eef32": {
   "en": "KeepoutFilter Plugin Configuration",
   "zh": "KeepoutFilter 插件配置",
   "level": "l3"
  },
  "CAP_c6edcbdc": {
   "en": "Keepout Boundary Verification",
   "zh": "禁行边界验证",
   "level": "l3"
  },
  "CAP_169f95d7": {
   "en": "RTK Boundary Teach Recording",
   "zh": "RTK 边界示教轨迹录制与多边形生成",
   "level": "l2"
  },
  "CAP_0283a319": {
   "en": "Boundary Mapping Mode Start",
   "zh": "边界映射模式启动",
   "level": "l3"
  },
  "CAP_11c193ba": {
   "en": "Perimeter Trajectory Recording",
   "zh": "周界轨迹录制",
   "level": "l3"
  },
  "CAP_f8f5bcc8": {
   "en": "Trajectory Denoise and Simplify",
   "zh": "轨迹去噪与简化",
   "level": "l3"
  },
  "CAP_b6342d68": {
   "en": "Boundary Polygon Store and Activate",
   "zh": "边界多边形存储与激活",
   "level": "l3"
  },
  "CAP_627f42fd": {
   "en": "MAVLinkFenceMissionUpload",
   "zh": "MAVLink围栏任务上传",
   "level": "l3"
  },
  "CAP_c8767f97": {
   "en": "VC Firmware Version Alignment",
   "zh": "虚拟控制器固件版本对齐检查",
   "level": "l3"
  },
  "CAP_41196986": {
   "en": "Policy Failure Replay Root Cause",
   "zh": "失败案例回放与根因分析",
   "level": "l3"
  },
  "CAP_b5513d39": {
   "en": "WBC RL Simulation Environment Setup",
   "zh": "全身控制 RL 仿真环境搭建",
   "level": "l3"
  },
  "CAP_7cacc0b8": {
   "en": "CAD and OLP Geometric Modeling",
   "zh": "CAD与OLP几何建模",
   "level": "l3"
  },
  "CAP_970863ed": {
   "en": "OLP Path Program Generation",
   "zh": "离线路径与程序生成",
   "level": "l3"
  },
  "CAP_9279642f": {
   "en": "Virtual Leader State Estimation",
   "zh": "虚拟领导者状态估计",
   "level": "l3"
  },
  "CAP_84b67d0d": {
   "en": "Desired Pose Computation",
   "zh": "期望位姿计算",
   "level": "l3"
  },
  "CAP_028cd0d1": {
   "en": "Unicycle Tracking Control",
   "zh": "单机轨迹跟踪控制",
   "level": "l3"
  },
  "CAP_defbcad0": {
   "en": "虚拟结构编队参考生成",
   "zh": "虚拟结构编队参考生成",
   "level": "l2"
  },
  "CAP_4d8ed12d": {
   "en": "Virtual Structure Pose Trajectory Planning",
   "zh": "虚拟结构位姿轨迹生成",
   "level": "l3"
  },
  "CAP_cfd94690": {
   "en": "Virtual Structure Internal Collision Avoidance (APF)",
   "zh": "结构内避障",
   "level": "l3"
  },
  "CAP_d57fbb39": {
   "en": "同步全状态流式下发",
   "zh": "同步全状态流式下发",
   "level": "l3"
  },
  "CAP_900cee8f": {
   "en": "Group Mask Synchronization",
   "zh": "组掩码同步",
   "level": "l3"
  },
  "CAP_41e28994": {
   "en": "Rigid Body Desired Pose Computation",
   "zh": "刚体期望位姿计算",
   "level": "l3"
  },
  "CAP_a68ee50d": {
   "en": "Virtual Structure Synchronized Tracking and Safe Deployment",
   "zh": "虚拟结构同步跟踪与安全部署",
   "level": "l2"
  },
  "CAP_24974c13": {
   "en": "Virtual Structure Proportional Tracking Control",
   "zh": "虚拟结构比例跟踪控制",
   "level": "l3"
  },
  "CAP_3376a369": {
   "en": "Virtual Structure Synchronization Convergence Check",
   "zh": "虚拟结构同步收敛检测",
   "level": "l3"
  },
  "CAP_2672c976": {
   "en": "SE(3) Rigid Body Desired Pose Computation",
   "zh": "SE(3) 刚体期望位姿计算",
   "level": "l3"
  },
  "CAP_d3f25d63": {
   "en": "SE(3) Synchronized Tracking and Formation Feedback",
   "zh": "SE(3) 同步跟踪与编队反馈",
   "level": "l2"
  },
  "CAP_f87fc86c": {
   "en": "VS Definition and Disturbance Modeling",
   "zh": "VS 定义与扰动建模",
   "level": "l2"
  },
  "CAP_d283017b": {
   "en": "AUV Swarm and Formation Initialization",
   "zh": "AUV 集群与队形初始化",
   "level": "l3"
  },
  "CAP_b1c02a87": {
   "en": "VS Trajectory and Current Field Generation",
   "zh": "VS 轨迹与洋流场生成",
   "level": "l3"
  },
  "CAP_64ee2e33": {
   "en": "VS Desired Pose and APF Spacing Computation",
   "zh": "VS 期望位姿与 APF 间距计算",
   "level": "l3"
  },
  "CAP_e3d4835d": {
   "en": "Robust Formation Tracking and Maintenance",
   "zh": "鲁棒编队跟踪与维持",
   "level": "l2"
  },
  "CAP_2370c4f3": {
   "en": "Sliding Mode Robust Trajectory Tracking",
   "zh": "滑模鲁棒轨迹跟踪",
   "level": "l3"
  },
  "CAP_4c32cb5d": {
   "en": "Thruster Allocation and 6-DOF Dynamics Execution",
   "zh": "推力分配与 6-DOF 动力学执行",
   "level": "l3"
  },
  "CAP_bd4f4ef9": {
   "en": "AVS Audio Feature Encoding",
   "zh": "AVS音频特征编码",
   "level": "l3"
  },
  "CAP_ecf7fa52": {
   "en": "AVS Visual Feature Extraction",
   "zh": "AVS视觉特征提取",
   "level": "l3"
  },
  "CAP_0d267e51": {
   "en": "Audio Visual Cross Modal Interaction",
   "zh": "视听跨模态交互",
   "level": "l3"
  },
  "CAP_8069dc3c": {
   "en": "Sounding Mask Decoding",
   "zh": "发声掩码解码",
   "level": "l3"
  },
  "CAP_0f2ad5ca": {
   "en": "AVS Mask Evaluation",
   "zh": "AVS掩码评测",
   "level": "l3"
  },
  "CAP_4414a435": {
   "en": "AVEL Audio Feature Encoding",
   "zh": "AVEL音频时序特征编码",
   "level": "l3"
  },
  "CAP_e30c300d": {
   "en": "AVEL Visual Feature Extraction",
   "zh": "AVEL视觉时序特征提取",
   "level": "l3"
  },
  "CAP_ece3537f": {
   "en": "Audio Visual Temporal Attention Fusion",
   "zh": "视听时序注意力融合",
   "level": "l3"
  },
  "CAP_29af7ead": {
   "en": "Event Segment Classification",
   "zh": "事件段分类",
   "level": "l3"
  },
  "CAP_c11cc109": {
   "en": "AVEL Boundary Evaluation",
   "zh": "AVEL边界评测",
   "level": "l3"
  },
  "CAP_92fb69ef": {
   "en": "Complex Spectrogram Mask Estimation",
   "zh": "复谱掩蔽估计",
   "level": "l3"
  },
  "CAP_68b82cef": {
   "en": "Separated Speech Reconstruction",
   "zh": "分离语音重建",
   "level": "l3"
  },
  "CAP_b1077af0": {
   "en": "ImageNet Classification Backbone Global Feature Extraction",
   "zh": "ImageNet 分类骨干全局特征提取",
   "level": "l3"
  },
  "CAP_5c5d0f28": {
   "en": "CLIP-Distilled Two-Stage Open-Vocabulary Detection",
   "zh": "CLIP-教师蒸馏两阶段开放词汇检测",
   "level": "l2"
  },
  "CAP_65cca514": {
   "en": "CLIP Teacher Embedding Precomputation",
   "zh": "CLIP教师嵌入预计算",
   "level": "l3"
  },
  "CAP_eb59e6e5": {
   "en": "Region-Text Similarity Open-Vocabulary Classification",
   "zh": "区域-文本相似度开放词表分类",
   "level": "l3"
  },
  "CAP_bfd42f37": {
   "en": "VLM Visual-Text Joint Encoding",
   "zh": "VLM 视觉-文本联合编码",
   "level": "l3"
  },
  "CAP_f94ab6e3": {
   "en": "VLM Detection Head/Token Decoding",
   "zh": "VLM 检测头/token 解码",
   "level": "l3"
  },
  "CAP_c65524ba": {
   "en": "Detection Output Parsing to Boxes",
   "zh": "检测输出解析为 boxes",
   "level": "l3"
  },
  "CAP_b1d68e5d": {
   "en": "VL-Fused Single-Stage Real-Time OVD",
   "zh": "视觉语言融合单阶段实时开放词汇检测",
   "level": "l2"
  },
  "CAP_599c2d8f": {
   "en": "VL-Fused Vocabulary and Text Embedding Construction",
   "zh": "VL 融合词表与文本嵌入构造",
   "level": "l3"
  },
  "CAP_ffd7551d": {
   "en": "Single-Stage Dense Detection Head Regression",
   "zh": "单阶段 dense 检测头回归",
   "level": "l3"
  },
  "CAP_9c4aa1cd": {
   "en": "Text Prompt Tokenization",
   "zh": "文本提示分词",
   "level": "l3"
  },
  "CAP_464ff4d1": {
   "en": "VLM Instruction-Conditioned Generation",
   "zh": "VLM 指令条件生成",
   "level": "l3"
  },
  "CAP_06dd5a2f": {
   "en": "Q-Former Cross-Attention Bridge Encoding",
   "zh": "Q-Former 跨注意力桥接编码",
   "level": "l3"
  },
  "CAP_587c771c": {
   "en": "Q-Former Two-Stage Pretraining",
   "zh": "Q-Former 两阶段预训练",
   "level": "l3"
  },
  "CAP_5a00cbd3": {
   "en": "MLP Projector Bridge Encoding",
   "zh": "MLP 投影桥接编码",
   "level": "l3"
  },
  "CAP_64551b03": {
   "en": "Visual Instruction Tuning",
   "zh": "视觉指令微调",
   "level": "l3"
  },
  "CAP_9a47c98f": {
   "en": "Dual Vision Encoder Parallel Forward",
   "zh": "双视觉编码器并行前向",
   "level": "l3"
  },
  "CAP_87241816": {
   "en": "Multi-Encoder VLM Training",
   "zh": "多编码器 VLM 训练",
   "level": "l3"
  },
  "CAP_d24ecf99": {
   "en": "Projected Generative Vision Language",
   "zh": "投影生成式视觉语言",
   "level": "l2"
  },
  "CAP_1297c465": {
   "en": "Autoregressive Response Generation",
   "zh": "自回归响应生成",
   "level": "l3"
  },
  "CAP_7b75d674": {
   "en": "VLM Zero-Shot Anomaly Detection",
   "zh": "VLM零样本视觉异常检测",
   "level": "l2"
  },
  "CAP_4cac156c": {
   "en": "Normalizing Flow Training",
   "zh": "归一化流训练",
   "level": "l3"
  },
  "CAP_20b3ddfb": {
   "en": "Object-Agnostic Prompt Learning",
   "zh": "物体无关提示学习",
   "level": "l3"
  },
  "CAP_b9709e4a": {
   "en": "CLIP Anomaly Similarity Scoring",
   "zh": "CLIP异常相似度评分",
   "level": "l3"
  },
  "CAP_48c6c2a3": {
   "en": "Supervised Defect Detection with YOLO",
   "zh": "监督式缺陷检测",
   "level": "l2"
  },
  "CAP_0a37d07c": {
   "en": "Defect Dataset Preparation & Augmentation",
   "zh": "缺陷数据集准备与增广",
   "level": "l3"
  },
  "CAP_fd53b656": {
   "en": "Pretrained Patch Feature Extraction",
   "zh": "预训练 patch 特征提取",
   "level": "l3"
  },
  "CAP_afbd8411": {
   "en": "Mesh Re-localization",
   "zh": "网格重定位",
   "level": "l3"
  },
  "CAP_3dba6cd5": {
   "en": "Dense Descriptor Correspondence Tracking Pipeline",
   "zh": "稠密描述符对应追踪流水线",
   "level": "l2"
  },
  "CAP_de2b515b": {
   "en": "Dense Descriptor Network Inference",
   "zh": "稠密描述符网络推理",
   "level": "l3"
  },
  "CAP_5b243147": {
   "en": "Descriptor Redetection Trigger",
   "zh": "描述子重检测触发",
   "level": "l3"
  },
  "CAP_72857e67": {
   "en": "Descriptor Global Redetection",
   "zh": "描述子全局重检测",
   "level": "l3"
  },
  "CAP_c7c93a4e": {
   "en": "Transformer Video Point Tracking Pipeline",
   "zh": "Transformer 视频点追踪流水线",
   "level": "l2"
  },
  "CAP_24be2a36": {
   "en": "Video Stream Acquisition",
   "zh": "视频流采集",
   "level": "l3"
  },
  "CAP_0ac9798b": {
   "en": "Query Point Specification",
   "zh": "查询点指定",
   "level": "l3"
  },
  "CAP_84ac126f": {
   "en": "Transformer Joint Point Tracking",
   "zh": "Transformer 联合点追踪",
   "level": "l3"
  },
  "CAP_d2442c53": {
   "en": "Occlusion-Aware Trajectory Filtering",
   "zh": "遮挡感知轨迹过滤",
   "level": "l3"
  },
  "CAP_4cb94241": {
   "en": "Query Re-initialization Trigger",
   "zh": "查询重初始化触发",
   "level": "l3"
  },
  "CAP_46ad3716": {
   "en": "Query Re-initialization",
   "zh": "查询重初始化",
   "level": "l3"
  },
  "CAP_3a28450a": {
   "en": "2D-to-3D Point Trajectory Lifting",
   "zh": "2D 点轨迹 3D 提升",
   "level": "l3"
  },
  "CAP_da704ec2": {
   "en": "Deformable Linear Object Tracking Pipeline",
   "zh": "可变形线性物体追踪流水线",
   "level": "l2"
  },
  "CAP_effe6980": {
   "en": "HSV-Based DLO Segmentation",
   "zh": "HSV 颜色 DLO 分割",
   "level": "l3"
  },
  "CAP_1bf5fe59": {
   "en": "DLO Skeleton Extraction & Ordering",
   "zh": "DLO 骨架提取与排序",
   "level": "l3"
  },
  "CAP_b316ddaa": {
   "en": "Motion Coherence Graph Construction",
   "zh": "运动一致性图构建",
   "level": "l3"
  },
  "CAP_15d9f894": {
   "en": "Graph-Based DLO Tracking Optimization",
   "zh": "图优化 DLO 追踪",
   "level": "l3"
  },
  "CAP_5b4a4e13": {
   "en": "DLO Occlusion Reasoning",
   "zh": "DLO 遮挡推理",
   "level": "l3"
  },
  "CAP_3bc394c1": {
   "en": "DLO Occlusion Recovery",
   "zh": "DLO 遮挡恢复",
   "level": "l3"
  },
  "CAP_7e4dbebb": {
   "en": "3D Skeleton Trajectory Lifting",
   "zh": "3D 骨架轨迹提升",
   "level": "l3"
  },
  "CAP_6b86d181": {
   "en": "Visual Dialog Multi-turn Reference",
   "zh": "多轮视觉对话指代",
   "level": "l3"
  },
  "CAP_f56065c3": {
   "en": "VisDial Data Loading and Dialog History Tokenization",
   "zh": "VisDial 数据加载与对话历史分词",
   "level": "l3"
  },
  "CAP_78ebdc73": {
   "en": "Candidate Answer Pool Construction",
   "zh": "候选答案池构建",
   "level": "l3"
  },
  "CAP_8beb4f3f": {
   "en": "Multimodal Dialog Encoder Inference",
   "zh": "多模态对话编码器推理",
   "level": "l3"
  },
  "CAP_6c315eee": {
   "en": "Turn-Level Dialog Context Encoding",
   "zh": "轮级对话上下文编码",
   "level": "l3"
  },
  "CAP_1bd4deef": {
   "en": "Visual Dialog Answer Ranking and Generation Decoding",
   "zh": "视觉对话答案排序与生成解码",
   "level": "l3"
  },
  "CAP_fb74a68a": {
   "en": "Visual Dialog Evaluation NDCG MRR",
   "zh": "视觉对话评测 NDCG MRR",
   "level": "l3"
  },
  "CAP_2e53596a": {
   "en": "Referring Expression Text Encoding",
   "zh": "指代表达文本编码",
   "level": "l3"
  },
  "CAP_9ffd784f": {
   "en": "Cross-Modal Feature Fusion (MDETR)",
   "zh": "跨模态特征融合（MDETR 模式）",
   "level": "l3"
  },
  "CAP_cd6e03ee": {
   "en": "Bounding Box Regression and Post-Processing",
   "zh": "目标框回归与后处理",
   "level": "l3"
  },
  "CAP_db580e8a": {
   "en": "Multi-Scale Visual Feature Extraction",
   "zh": "多尺度视觉特征提取",
   "level": "l3"
  },
  "CAP_1185a9a2": {
   "en": "Mask IoU Evaluation oIoU mIoU cIoU",
   "zh": "Mask IoU 评测 (oIoU/mIoU/cIoU)",
   "level": "l3"
  },
  "CAP_184840b4": {
   "en": "3D Embodied Situated Visual Reference",
   "zh": "3D 具身情境化视觉指代",
   "level": "l3"
  },
  "CAP_cefe602b": {
   "en": "Multi-View 2D Rendering and Feature Extraction",
   "zh": "多视角 2D 渲染与特征提取",
   "level": "l3"
  },
  "CAP_89a2e403": {
   "en": "Multi-View Mask Feature Extraction",
   "zh": "多视角 Mask 特征提取",
   "level": "l3"
  },
  "CAP_b695e6e8": {
   "en": "2D CLIP/BLIP Mask Feature Extraction",
   "zh": "2D CLIP/BLIP Mask 区域特征提取",
   "level": "l3"
  },
  "CAP_f31b7763": {
   "en": "Inject 3D Feature via Localization Mechanism",
   "zh": "定位机制注入 3D 空间特征",
   "level": "l3"
  },
  "CAP_2708262d": {
   "en": "3D Feature to LLM Bridging",
   "zh": "3D 特征与 LLM 桥接",
   "level": "l3"
  },
  "CAP_d895cd53": {
   "en": "3D Object Grounding Output",
   "zh": "3D 目标接地输出",
   "level": "l3"
  },
  "CAP_250c3438": {
   "en": "Situated Viewpoint Parsing",
   "zh": "情境化视角描述解析与定位",
   "level": "l3"
  },
  "CAP_da947f7a": {
   "en": "3D Answer Generation",
   "zh": "3D 场景问答答案生成",
   "level": "l3"
  },
  "CAP_b50c4c85": {
   "en": "Docking Staging And Pose Error",
   "zh": "对接过渡位姿与位姿误差",
   "level": "l2"
  },
  "CAP_4c5d03ab": {
   "en": "Dock Staging Pose Navigation",
   "zh": "对接过渡位姿导航",
   "level": "l3"
  },
  "CAP_09f5535e": {
   "en": "Dock Relative Pose Error Computation",
   "zh": "对接相对位姿误差计算",
   "level": "l3"
  },
  "CAP_a1ba5a81": {
   "en": "Final Dock Approach And Convergence",
   "zh": "最终对接与收敛",
   "level": "l2"
  },
  "CAP_098b719c": {
   "en": "Final Dock Visual Servo Approach",
   "zh": "最终对接视觉伺服接近",
   "level": "l3"
  },
  "CAP_c8b35157": {
   "en": "Dock Convergence And Contact Confirmation",
   "zh": "对接收敛与接触确认",
   "level": "l3"
  },
  "CAP_3a157f58": {
   "en": "Dock Model Tracking And Pose Error",
   "zh": "对接模型跟踪与位姿误差",
   "level": "l2"
  },
  "CAP_f44c6471": {
   "en": "CAD Model Based Dock Tracking",
   "zh": "CAD 模型对接跟踪",
   "level": "l3"
  },
  "CAP_b20979b4": {
   "en": "Dock Tracking Pose Error",
   "zh": "对接跟踪位姿误差",
   "level": "l3"
  },
  "CAP_d4057ce1": {
   "en": "Dock Visual Servo Control And Execution",
   "zh": "对接视觉伺服控制与执行",
   "level": "l2"
  },
  "CAP_308c4ccc": {
   "en": "Dock Visual Servo Control Law",
   "zh": "对接视觉伺服控制律",
   "level": "l3"
  },
  "CAP_a6304f3f": {
   "en": "Dock Tracking Loss Detection",
   "zh": "对接跟踪丢失检测",
   "level": "l3"
  },
  "CAP_cb30895f": {
   "en": "Docking Simulation And MDP Modeling",
   "zh": "对接仿真与 MDP 建模",
   "level": "l2"
  },
  "CAP_19418a45": {
   "en": "Docking Simulator Setup",
   "zh": "对接仿真环境搭建",
   "level": "l3"
  },
  "CAP_b0e0ef8a": {
   "en": "Docking Task MDP Modeling",
   "zh": "对接任务 MDP 建模",
   "level": "l3"
  },
  "CAP_ae77d88d": {
   "en": "Docking Policy Training",
   "zh": "对接策略训练",
   "level": "l2"
  },
  "CAP_c9b681d2": {
   "en": "Docking Visual Policy Network",
   "zh": "对接视觉策略网络",
   "level": "l3"
  },
  "CAP_1698bab4": {
   "en": "Docking RL Training And Sim2real",
   "zh": "对接 RL 训练与 sim2real",
   "level": "l3"
  },
  "CAP_3e1dbac0": {
   "en": "Docking On-Robot Policy Inference",
   "zh": "对接在线策略推理",
   "level": "l3"
  },
  "CAP_aae15afe": {
   "en": "Learned Keypoint Matching Pipeline",
   "zh": "学习型关键点检测匹配流水线",
   "level": "l2"
  },
  "CAP_aecedcbf": {
   "en": "Match Confidence Outlier Rejection",
   "zh": "匹配置信度外点剔除",
   "level": "l3"
  },
  "CAP_0b29c462": {
   "en": "Neural Keypoint Redetection Trigger",
   "zh": "神经关键点重检测触发",
   "level": "l3"
  },
  "CAP_99a69949": {
   "en": "Line Segment Feature Tracking Pipeline",
   "zh": "线段特征跟踪流水线",
   "level": "l2"
  },
  "CAP_06354c4d": {
   "en": "Line Segment Detection",
   "zh": "线段检测",
   "level": "l3"
  },
  "CAP_f27beed8": {
   "en": "LBD Line Descriptor Extraction",
   "zh": "LBD线描述子提取",
   "level": "l3"
  },
  "CAP_8c417def": {
   "en": "Line Descriptor Matching with Geometric Consistency",
   "zh": "线段描述子匹配+几何一致性",
   "level": "l3"
  },
  "CAP_ea882e0f": {
   "en": "Line RANSAC Geometric Outlier Rejection",
   "zh": "线段RANSAC几何外点剔除",
   "level": "l3"
  },
  "CAP_520321fe": {
   "en": "Line Feature Redetection Trigger",
   "zh": "线段特征重检测触发",
   "level": "l3"
  },
  "CAP_8e4d1f2a": {
   "en": "Image Set Antialiasing Preprocessing",
   "zh": "图像集抗混叠预处理",
   "level": "l3"
  },
  "CAP_2a9f8b4c": {
   "en": "Feature Statistics Estimation and Caching",
   "zh": "特征统计量估计与缓存",
   "level": "l3"
  },
  "CAP_d7e6c1a3": {
   "en": "FID Frechet Distance Computation",
   "zh": "FID Fréchet 距离计算",
   "level": "l3"
  },
  "CAP_4b8f5e2d": {
   "en": "KID MMD Kernel Distance Computation",
   "zh": "KID MMD 核距离计算",
   "level": "l3"
  },
  "CAP_a3c9d7b1": {
   "en": "Distributional Fidelity Diagnosis",
   "zh": "分布式保真度诊断",
   "level": "l3"
  },
  "CAP_e6d8c5b4": {
   "en": "Learned Perceptual Similarity",
   "zh": "学习型感知相似度评估",
   "level": "l2"
  },
  "CAP_1f7a4c8d": {
   "en": "Perceptual Model Loading and Calibration",
   "zh": "感知模型加载与校准",
   "level": "l3"
  },
  "CAP_8b2e6d3f": {
   "en": "Image Pair Range Normalization",
   "zh": "图像对范围归一化",
   "level": "l3"
  },
  "CAP_c5a9e7b2": {
   "en": "Multi-layer Perceptual Feature Extraction",
   "zh": "多层感知特征提取",
   "level": "l3"
  },
  "CAP_3d6f8a1e": {
   "en": "Learned Linear Calibration Weighting",
   "zh": "学习线性校准加权",
   "level": "l3"
  },
  "CAP_f2b7d5c9": {
   "en": "Layer-wise Distance Aggregation",
   "zh": "逐层距离加权聚合",
   "level": "l3"
  },
  "CAP_7e4c1b6a": {
   "en": "Perceptual Fidelity Diagnosis",
   "zh": "感知保真度诊断",
   "level": "l3"
  },
  "CAP_b8c3a5e7": {
   "en": "Classical Structural Fidelity",
   "zh": "经典结构保真度评估",
   "level": "l2"
  },
  "CAP_c1a7e3d5": {
   "en": "Color Space and Data Range Normalization",
   "zh": "色彩空间与数据范围归一化",
   "level": "l3"
  },
  "CAP_4e8b6f2a": {
   "en": "Gaussian Window and Scale Pyramid",
   "zh": "高斯滑窗与尺度金字塔",
   "level": "l3"
  },
  "CAP_a5d3c7b9": {
   "en": "SSIM Luminance Contrast Structure",
   "zh": "SSIM 亮度对比度结构计算",
   "level": "l3"
  },
  "CAP_f2e8a4d6": {
   "en": "Multi-scale SSIM Weighted Computation",
   "zh": "多尺度 SSIM 加权计算",
   "level": "l3"
  },
  "CAP_9b1c5d3f": {
   "en": "PSNR Computation and Quality Diagnosis",
   "zh": "PSNR 计算与质量诊断",
   "level": "l3"
  },
  "CAP_33ccfccf": {
   "en": "Goal-Visual Feature Matching",
   "zh": "目标-观测视觉特征匹配",
   "level": "l3"
  },
  "CAP_e5a8186b": {
   "en": "Goal-Image-Conditioned Manipulation Policy",
   "zh": "目标图像条件操作策略",
   "level": "l2"
  },
  "CAP_ec0a901c": {
   "en": "Embodied Diffusion Goal Generation",
   "zh": "Embodied Diffusion目标生成",
   "level": "l3"
  },
  "CAP_ff1f5365": {
   "en": "LMM Scene Semantic Observation",
   "zh": "LMM场景语义观测",
   "level": "l3"
  },
  "CAP_9b0b6660": {
   "en": "LMM Affordance Representation Generation",
   "zh": "LMM可供性中间表示生成",
   "level": "l3"
  },
  "CAP_e5af8bb5": {
   "en": "Affordance To Grasp Candidate Mapping",
   "zh": "可供性到抓取候选映射",
   "level": "l3"
  },
  "CAP_41dd3961": {
   "en": "Affordance Driven Closed Loop Replanning",
   "zh": "可供性驱动闭环重规划",
   "level": "l3"
  },
  "CAP_cd8b753f": {
   "en": "6DoF Grasp Pose Estimation",
   "zh": "6-DoF 抓取位姿估计",
   "level": "l3"
  },
  "CAP_33a7af4f": {
   "en": "Navigation Goal Anchoring",
   "zh": "导航目标锚定",
   "level": "l3"
  },
  "CAP_2fa73770": {
   "en": "Spatially Guided VLA Training",
   "zh": "空间引导VLA训练",
   "level": "l2"
  },
  "CAP_12db63f4": {
   "en": "Implicit Visual Reconstruction Grounding",
   "zh": "隐式视觉重建定位",
   "level": "l3"
  },
  "CAP_fa0a179d": {
   "en": "Chain-of-Thought Reasoning Grounding",
   "zh": "链式思维推理定位",
   "level": "l3"
  },
  "CAP_89b9ba47": {
   "en": "Action Detokenization & Execution",
   "zh": "动作去 token 化与执行",
   "level": "l3"
  },
  "CAP_b6cdd9f4": {
   "en": "Spatial Prompting & Conditioning",
   "zh": "空间提示与条件传递",
   "level": "l3"
  },
  "CAP_4a253b7d": {
   "en": "Spatial Grounding Pre-training",
   "zh": "空间定位预训练",
   "level": "l3"
  },
  "CAP_24c75176": {
   "en": "Grounding Paradigm Selection",
   "zh": "Grounding 范式选择",
   "level": "l3"
  },
  "CAP_38a8a1fa": {
   "en": "Grounding Box Confidence Filtering and Post-Processing",
   "zh": "接地结果置信度筛选与输出",
   "level": "l3"
  },
  "CAP_51871532": {
   "en": "End-to-End Text-to-Mask Prediction",
   "zh": "端到端文本到掩码预测",
   "level": "l3"
  },
  "CAP_50ad68a8": {
   "en": "Mask Grounding Result Output",
   "zh": "掩码接地结果输出",
   "level": "l3"
  },
  "CAP_7bac2df1": {
   "en": "Referring Expression Grounding Post-Processing",
   "zh": "指代表达接地结果后处理",
   "level": "l3"
  },
  "CAP_2b733596": {
   "en": "Multimodal Point Cloud Acquisition",
   "zh": "多模态点云采集",
   "level": "l3"
  },
  "CAP_43a0062a": {
   "en": "Point Cloud Loading and Preprocessing",
   "zh": "点云加载与预处理",
   "level": "l3"
  },
  "CAP_3db8d71e": {
   "en": "Masked Point Cloud Reconstruction",
   "zh": "掩码点云重建",
   "level": "l3"
  },
  "CAP_eb1e27fb": {
   "en": "Multi-View 2D Crop Projection and Refinement",
   "zh": "多视角 2D crop 提取",
   "level": "l3"
  },
  "CAP_8acc4a02": {
   "en": "3D Grounding Result Formatting for Control",
   "zh": "3D 接地结果输出",
   "level": "l3"
  },
  "CAP_6a2b9f4c": {
   "en": "Mask VOS Tracking",
   "zh": "掩码视频分割跟踪",
   "level": "l2"
  },
  "CAP_8e3f1a52": {
   "en": "3D Mesh Video Decoding",
   "zh": "3D 网格视频帧解码",
   "level": "l3"
  },
  "CAP_1a6d4e89": {
   "en": "SMPL Human Mesh Regression",
   "zh": "SMPL 人体网格回归",
   "level": "l3"
  },
  "CAP_8d3f5a16": {
   "en": "Multi-Feature Joint Association",
   "zh": "多特征联合关联",
   "level": "l3"
  },
  "CAP_6f3a8d21": {
   "en": "3D Mesh Track Output",
   "zh": "3D 网格轨迹输出",
   "level": "l3"
  },
  "CAP_31595e1d": {
   "en": "Offline SfM Map Reconstruction",
   "zh": "离线 SfM 地图构建",
   "level": "l3"
  },
  "CAP_2c82a3e0": {
   "en": "SfM Track 2D-3D Correspondence Lookup",
   "zh": "SfM Track 2D-3D 对应查表",
   "level": "l3"
  },
  "CAP_4857e684": {
   "en": "Prioritized 2D-3D Direct Matching",
   "zh": "优先化 2D-3D 直接匹配",
   "level": "l2"
  },
  "CAP_c8066d6f": {
   "en": "Vocabulary Tree Priority Search",
   "zh": "词汇树优先搜索",
   "level": "l3"
  },
  "CAP_b578ee6a": {
   "en": "NetVLAD Query Descriptor Extraction",
   "zh": "NetVLAD查询图像全局描述子提取",
   "level": "l3"
  },
  "CAP_bd63c92f": {
   "en": "NetVLAD Top-K Candidate Retrieval",
   "zh": "NetVLAD候选帧余弦相似度检索",
   "level": "l3"
  },
  "CAP_a176c8ec": {
   "en": "Scene-specific Coordinate Head Training",
   "zh": "场景特定坐标回归头在线训练",
   "level": "l3"
  },
  "CAP_48e55de9": {
   "en": "Dense Scene Coordinate Inference",
   "zh": "密集场景坐标推理预测",
   "level": "l3"
  },
  "CAP_8c15f0de": {
   "en": "Hierarchical Vocabulary Tree Construction",
   "zh": "分层视觉词汇树构建",
   "level": "l3"
  },
  "CAP_c057c991": {
   "en": "Priority Ratio Early-termination Matching",
   "zh": "最近邻比率优先排序与提前终止匹配",
   "level": "l3"
  },
  "CAP_0c64a777": {
   "en": "Sliding Window Optimization VIO Pipeline",
   "zh": "滑窗优化型视觉惯性里程计流水线",
   "level": "l2"
  },
  "CAP_8facd575": {
   "en": "IMU Driven EKF State Propagation",
   "zh": "IMU驱动EKF状态传播",
   "level": "l3"
  },
  "CAP_338a8aa7": {
   "en": "Photometric Innovation Patch Alignment",
   "zh": "光度innovation图像块对齐",
   "level": "l3"
  },
  "CAP_dcb268e5": {
   "en": "Photometric Image Preprocessing",
   "zh": "光度图像预处理",
   "level": "l3"
  },
  "CAP_45fcae91": {
   "en": "Grounding Result Confidence Filtering",
   "zh": "接地结果置信度筛选与输出",
   "level": "l3"
  },
  "CAP_26c5d009": {
   "en": "Region Concept Cosine Matching",
   "zh": "区域概念余弦匹配定位",
   "level": "l3"
  },
  "CAP_9b382c8f": {
   "en": "Greedy 3D MOT Association",
   "zh": "贪心3D多目标跟踪关联",
   "level": "l3"
  },
  "CAP_482052a3": {
   "en": "Semantic Segmentation & Projection",
   "zh": "语义分割与点云投影",
   "level": "l2"
  },
  "CAP_259e9fab": {
   "en": "Painted Point 3D Detection",
   "zh": "增强点云3D检测",
   "level": "l3"
  },
  "CAP_de2f0989": {
   "en": "2D3D Detection",
   "zh": "双路独立检测",
   "level": "l2"
  },
  "CAP_31891539": {
   "en": "3D LiDAR Detection",
   "zh": "3D 激光雷达检测",
   "level": "l3"
  },
  "CAP_d9732bff": {
   "en": "Deep Association Fusion",
   "zh": "深度关联融合",
   "level": "l2"
  },
  "CAP_308580b3": {
   "en": "Deep Association",
   "zh": "深度关联网络",
   "level": "l3"
  },
  "CAP_d76cc982": {
   "en": "2D3D Trajectory State Machine",
   "zh": "2D-3D 轨迹状态机",
   "level": "l3"
  },
  "CAP_58e38368": {
   "en": "3D Trajectory Update",
   "zh": "3D 轨迹更新",
   "level": "l3"
  },
  "CAP_5d7eff25": {
   "en": "2D Trajectory Only",
   "zh": "2D 轨迹保持",
   "level": "l3"
  },
  "CAP_0a1b2c40": {
   "en": "BoW Database Candidate Retrieval",
   "zh": "BoW数据库候选检索",
   "level": "l3"
  },
  "CAP_1a2b3c4f": {
   "en": "Local Feature Extraction for Geometric Verification",
   "zh": "局部特征提取（几何验证用）",
   "level": "l3"
  },
  "CAP_1a2b3c51": {
   "en": "Retrieval Score Threshold Filtering",
   "zh": "检索得分阈值过滤",
   "level": "l3"
  },
  "CAP_1a2b3c52": {
   "en": "Loop Closure Local Feature Matching",
   "zh": "回环检测局部特征匹配",
   "level": "l3"
  },
  "CAP_2a3b4c5f": {
   "en": "SuperPoint Local Feature Index Construction",
   "zh": "SuperPoint局部特征索引构建",
   "level": "l3"
  },
  "CAP_2a3b4c60": {
   "en": "Local Feature ANN Retrieval & Voting",
   "zh": "局部特征ANN检索+投票候选",
   "level": "l3"
  },
  "CAP_2a3b4c61": {
   "en": "Candidate Count Threshold Filtering",
   "zh": "候选数阈值过滤",
   "level": "l3"
  },
  "CAP_6e84ad69": {
   "en": "Handcrafted Feature Material Classification",
   "zh": "经典手工特征材质分类",
   "level": "l2"
  },
  "CAP_dbaef3ed": {
   "en": "LBP Texture Descriptor Computation",
   "zh": "LBP 纹理描述子计算",
   "level": "l3"
  },
  "CAP_db49f959": {
   "en": "Fisher Vector Encoding",
   "zh": "Fisher 向量编码",
   "level": "l3"
  },
  "CAP_86eb84ae": {
   "en": "Linear SVM Material Classification",
   "zh": "线性 SVM 材质分类",
   "level": "l3"
  },
  "CAP_e1650306": {
   "en": "Pretrained CNN Fisher Vector Classification",
   "zh": "预训练CNN Fisher向量分类",
   "level": "l2"
  },
  "CAP_2f532cbe": {
   "en": "VGG Convolutional Feature Extraction",
   "zh": "VGG 卷积特征提取",
   "level": "l3"
  },
  "CAP_866a6bb7": {
   "en": "Multi-scale CNN Feature Fusion",
   "zh": "多尺度CNN特征融合",
   "level": "l3"
  },
  "CAP_81cb7ca7": {
   "en": "Deep TEN Encoding Classification",
   "zh": "Deep TEN编码分类",
   "level": "l2"
  },
  "CAP_2051bf65": {
   "en": "Encoding Layer Forward",
   "zh": "编码层前向计算",
   "level": "l3"
  },
  "CAP_ec352ace": {
   "en": "Deep TEN Classification Head",
   "zh": "Deep TEN 分类头",
   "level": "l3"
  },
  "CAP_46af1a98": {
   "en": "FCN-CRF Pixelwise Material Segmentation",
   "zh": "FCN-CRF像素级材质分割",
   "level": "l2"
  },
  "CAP_bce6da37": {
   "en": "Fully Convolutional Material Segmentation",
   "zh": "全卷积材质分割",
   "level": "l3"
  },
  "CAP_ef457a17": {
   "en": "Dense CRF Material Refinement",
   "zh": "密集CRF材质精化",
   "level": "l3"
  },
  "CAP_f5014eaf": {
   "en": "Linear Probe Material Training",
   "zh": "线性探针材质训练",
   "level": "l3"
  },
  "CAP_e802eca6": {
   "en": "Visual-Inertial Localization (VIO-based)",
   "zh": "视觉惯性定位（VIO）",
   "level": "l2"
  },
  "CAP_ab13d487": {
   "en": "2D Costmap Navigation Planning",
   "zh": "2D代价地图导航规划",
   "level": "l2"
  },
  "CAP_e61d02c3": {
   "en": "Stereo VO for Teaching",
   "zh": "示教用立体视觉里程计",
   "level": "l3"
  },
  "CAP_a1534f45": {
   "en": "Topometric Path Graph Construction",
   "zh": "拓扑度量路径图构建",
   "level": "l3"
  },
  "CAP_f67d5496": {
   "en": "Frame-to-Frame SE3 Pose Composition",
   "zh": "帧间 SE3 直接位姿复合",
   "level": "l2"
  },
  "CAP_fefb9d50": {
   "en": "SE3 Incremental Pose Composition",
   "zh": "SE3 增量位姿复合",
   "level": "l3"
  },
  "CAP_6d776594": {
   "en": "Pose Covariance Linear Propagation",
   "zh": "位姿协方差线性传播",
   "level": "l3"
  },
  "CAP_25ff5a51": {
   "en": "Keyframe-Relative Pose Composition",
   "zh": "关键帧相对位姿复合",
   "level": "l2"
  },
  "CAP_b094d21b": {
   "en": "Keyframe Pose Chain Management",
   "zh": "关键帧位姿链管理",
   "level": "l3"
  },
  "CAP_12546b92": {
   "en": "Reference Keyframe Switching",
   "zh": "参考关键帧切换",
   "level": "l3"
  },
  "CAP_8f2a6659": {
   "en": "EKF UKF Filter Integration with VO",
   "zh": "基于 EKF/UKF 滤波的 VO 积分",
   "level": "l2"
  },
  "CAP_5e03ea7a": {
   "en": "6-DoF Pose Message Publishing",
   "zh": "6-DoF 位姿消息发布",
   "level": "l3"
  },
  "CAP_08895775": {
   "en": "High-Frequency Metric Odometry Publishing",
   "zh": "高频度量里程计发布",
   "level": "l3"
  },
  "CAP_9e05bece": {
   "en": "Setpoint Generation from VIO Pose",
   "zh": "VIO 位姿到 setpoint 生成",
   "level": "l3"
  },
  "CAP_395430e7": {
   "en": "Stereo SURF Feature Extraction (GPU-accelerated)",
   "zh": "GPU 加速立体 SURF 特征提取",
   "level": "l3"
  },
  "CAP_9c92b5ea": {
   "en": "Path Graph Vertex Creation",
   "zh": "路径图顶点创建",
   "level": "l3"
  },
  "CAP_ea86a7e1": {
   "en": "Long-Term Path Graph Persistence & Satellite Alignment",
   "zh": "长期 path graph 持久化与卫星图对齐",
   "level": "l3"
  },
  "CAP_6e4a665e": {
   "en": "Network Depth Prediction",
   "zh": "网络深度预测",
   "level": "l3"
  },
  "CAP_1cfb3b3d": {
   "en": "Dense Frontend Tracking with GRU Update",
   "zh": "GRU更新稠密前端跟踪",
   "level": "l3"
  },
  "CAP_f7c53155": {
   "en": "Cross-Weather Visual Place Recognition",
   "zh": "跨天气视觉地点识别",
   "level": "l2"
  },
  "CAP_a9e7f355": {
   "en": "Visual Data Ingestion & Map/Query Split",
   "zh": "视觉数据接入与库/查询划分",
   "level": "l3"
  },
  "CAP_ac1f2dc4": {
   "en": "BoW Place Match Output",
   "zh": "BoW地点匹配输出",
   "level": "l3"
  },
  "CAP_fc050bca": {
   "en": "VPR Metric Learning Training",
   "zh": "VPR度量学习训练",
   "level": "l3"
  },
  "CAP_f908c6bd": {
   "en": "Offline Encoding and Indexing",
   "zh": "离线编码与索引构建",
   "level": "l2"
  },
  "CAP_4356fcd3": {
   "en": "Confidence Decision and Navigation Trigger",
   "zh": "置信度裁决与导航触发",
   "level": "l2"
  },
  "CAP_db125395": {
   "en": "MixVPR Global Descriptor Extraction",
   "zh": "MixVPR 全局描述子提取",
   "level": "l3"
  },
  "CAP_e3f6db52": {
   "en": "VLAD Vocabulary Training",
   "zh": "VLAD 词汇训练",
   "level": "l3"
  },
  "CAP_a9e299c2": {
   "en": "hloc Global Retrieval",
   "zh": "hloc 全局检索",
   "level": "l3"
  },
  "CAP_c1347e25": {
   "en": "Pose Confidence Decision",
   "zh": "位姿置信度裁决",
   "level": "l3"
  },
  "CAP_c1e0ae18": {
   "en": "Online Sequence Matching",
   "zh": "在线序列匹配",
   "level": "l2"
  },
  "CAP_90776d7a": {
   "en": "Sequence Diagonal Matching",
   "zh": "序列对角线匹配",
   "level": "l3"
  },
  "CAP_07e97133": {
   "en": "Sequence Confidence Decision",
   "zh": "序列置信度裁决",
   "level": "l3"
  },
  "CAP_6e16aff9": {
   "en": "Direct SE(3) Pose Optimization via Gauss-Newton",
   "zh": "直接法帧间跟踪（光度误差 Gauss-Newton）",
   "level": "l3"
  },
  "CAP_ba59cdef": {
   "en": "Token Autoregressive Video Prediction Pretraining",
   "zh": "Token 自回归视频预测预训练",
   "level": "l2"
  },
  "CAP_ac7701bc": {
   "en": "Token Video Downstream Transfer",
   "zh": "Token 视频下游迁移",
   "level": "l3"
  },
  "CAP_a4f36b0c": {
   "en": "Scene Metadata Parsing",
   "zh": "场景元数据解析",
   "level": "l3"
  },
  "CAP_d016447c": {
   "en": "Inflection Weighted Behavior Cloning",
   "zh": "拐点加权行为克隆",
   "level": "l3"
  },
  "CAP_63f7539a": {
   "en": "Perception API Spec Rendering",
   "zh": "感知API规范渲染",
   "level": "l3"
  },
  "CAP_adb60ea1": {
   "en": "Perception API Invocation",
   "zh": "感知API调用",
   "level": "l3"
  },
  "CAP_965f084f": {
   "en": "Code-based Answer Extraction",
   "zh": "代码答案提取",
   "level": "l3"
  },
  "CAP_2405c243": {
   "en": "Answer Text Extraction",
   "zh": "答案文本提取",
   "level": "l3"
  },
  "CAP_48bac9cd": {
   "en": "VLM Answer Hallucination Post-validation",
   "zh": "VLM答案幻觉后处理校验",
   "level": "l3"
  },
  "CAP_37ff5b74": {
   "en": "Simulator Visual Parameter Injection",
   "zh": "仿真器视觉参数注入",
   "level": "l3"
  },
  "CAP_1f133f2b": {
   "en": "Per-Frame Randomized Rendering",
   "zh": "逐帧随机化渲染",
   "level": "l3"
  },
  "CAP_49e188b7": {
   "en": "RL Training and Sim-to-Real Evaluation",
   "zh": "RL 训练与真实迁移评测",
   "level": "l2"
  },
  "CAP_cb74c73b": {
   "en": "RL Policy Training on Randomized Visuals",
   "zh": "随机化视觉上 RL 策略训练",
   "level": "l3"
  },
  "CAP_c3debf4b": {
   "en": "Object and Material Placement Sampling",
   "zh": "对象与材质放置采样",
   "level": "l3"
  },
  "CAP_12cb7a62": {
   "en": "Lighting and Time-of-Day Sampling",
   "zh": "光照与时段采样",
   "level": "l3"
  },
  "CAP_ffd47760": {
   "en": "In-Scene Visual DR and Training",
   "zh": "场景内视觉随机化与训练",
   "level": "l2"
  },
  "CAP_a5812a6e": {
   "en": "Randomizer Graph Construction",
   "zh": "随机化图构建",
   "level": "l3"
  },
  "CAP_6b1d507b": {
   "en": "Visual Parameter Randomization",
   "zh": "视觉参数随机化",
   "level": "l3"
  },
  "CAP_44e99c4b": {
   "en": "Perception Model Training and Dataset Production",
   "zh": "感知模型训练与数据集产出",
   "level": "l2"
  },
  "CAP_6a47d23b": {
   "en": "Automatic Ground Truth Annotation",
   "zh": "自动真值标注",
   "level": "l3"
  },
  "CAP_3c13dbb3": {
   "en": "Industrial-Scale Synthetic Dataset Production",
   "zh": "工业级合成数据集产出",
   "level": "l3"
  },
  "CAP_29e906e6": {
   "en": "Scene Coordinate Encoder Forward",
   "zh": "场景坐标 Encoder 前向与训练缓冲构建",
   "level": "l3"
  },
  "CAP_c0d46dd7": {
   "en": "Scene Coordinate 2D-3D Correspondence",
   "zh": "场景坐标 2D-3D 对应构建",
   "level": "l3"
  },
  "CAP_9592eecb": {
   "en": "3D Descriptor Vocabulary Index",
   "zh": "3D 描述子词汇树索引构建",
   "level": "l3"
  },
  "CAP_7bb853fb": {
   "en": "Task Aware Depth MAE",
   "zh": "任务感知深度重建 MAE",
   "level": "l3"
  },
  "CAP_9413261a": {
   "en": "Differentiable Neural Rendering Pretraining",
   "zh": "可微神经渲染预训练",
   "level": "l3"
  },
  "CAP_63b520cf": {
   "en": "EgocentricVideoCollection",
   "zh": "第一人称视频采集",
   "level": "l3"
  },
  "CAP_295020bd": {
   "en": "Select2DPretrainedBackbone",
   "zh": "选择2D预训练骨干网络",
   "level": "l3"
  },
  "CAP_776f96ec": {
   "en": "Infrastructure Camera Safety Monitoring",
   "zh": "基础设施相机安全监控",
   "level": "l2"
  },
  "CAP_dc0c423a": {
   "en": "Infrastructure Camera Deployment and Calibration",
   "zh": "基础设施相机部署与标定",
   "level": "l3"
  },
  "CAP_fb771d99": {
   "en": "Video Stream Ingestion and Preprocessing",
   "zh": "视频流接入与预处理",
   "level": "l3"
  },
  "CAP_7521716e": {
   "en": "Perception Health Monitoring",
   "zh": "感知健康监控",
   "level": "l3"
  },
  "CAP_dcf9f6e1": {
   "en": "Multi-Source Safety Event Fusion",
   "zh": "多源安全事件融合",
   "level": "l3"
  },
  "CAP_46d75101": {
   "en": "Safety Decision and Action Mapping",
   "zh": "安全决策与动作映射",
   "level": "l3"
  },
  "CAP_2b9f9e07": {
   "en": "Safety-Certified Communication and Execution",
   "zh": "安全认证通信与执行",
   "level": "l3"
  },
  "CAP_cc54439b": {
   "en": "Safety Black Box Audit Trail",
   "zh": "安全黑盒审计追踪",
   "level": "l3"
  },
  "CAP_a9342e69": {
   "en": "Safety-Certified 3D Zone Monitoring",
   "zh": "安全认证3D区域监控",
   "level": "l2"
  },
  "CAP_12adf4fd": {
   "en": "3D Safety Sensor Calibration and Registration",
   "zh": "安全认证3D传感器标定与工作空间注册",
   "level": "l3"
  },
  "CAP_6812c96e": {
   "en": "Safety-Certified 3D Perception",
   "zh": "安全认证3D感知（ToF/立体视觉）",
   "level": "l3"
  },
  "CAP_3c79ae47": {
   "en": "Zone Intrusion Detection and Safety Evaluation",
   "zh": "区域入侵检测与安全评估",
   "level": "l3"
  },
  "CAP_3754098a": {
   "en": "Robot Safety Controller Execution",
   "zh": "机器人安全控制器执行（DCS/SafeMove/SafeOperation）",
   "level": "l3"
  },
  "CAP_f2d32ece": {
   "en": "Dual-Channel Redundancy and Cross-Check",
   "zh": "双通道冗余与交叉校验",
   "level": "l3"
  },
  "CAP_9d76f6b5": {
   "en": "Edge AI Visual Safety Analytics",
   "zh": "边缘AI视觉安全分析",
   "level": "l2"
  },
  "CAP_b3c03fa9": {
   "en": "Multi-Object Tracking on Edge",
   "zh": "边缘端多目标跟踪",
   "level": "l3"
  },
  "CAP_8b9d8add": {
   "en": "Safety Rule Engine and Assessment",
   "zh": "安全规则引擎与评估",
   "level": "l3"
  },
  "CAP_3a3cc558": {
   "en": "Multi-Level Alert Generation and Notification",
   "zh": "多级告警生成与通知",
   "level": "l3"
  },
  "CAP_e6d2ffa6": {
   "en": "Safety Analytics Dashboard and Reporting",
   "zh": "安全分析仪表盘与报表",
   "level": "l3"
  },
  "CAP_9cfdff9a": {
   "en": "Edge Device Management and OTA Update",
   "zh": "边缘设备管理与OTA更新",
   "level": "l3"
  },
  "CAP_ce2d36c7": {
   "en": "TrajectoryPacking",
   "zh": "轨迹打包",
   "level": "l3"
  },
  "CAP_b1b2764f": {
   "en": "TrajectoryPackingPublisher",
   "zh": "轨迹打包发布器",
   "level": "l3"
  },
  "CAP_78e69679": {
   "en": "Visual Feature Perception",
   "zh": "视觉特征感知",
   "level": "l2"
  },
  "CAP_149b33f9": {
   "en": "IBVS Feedback Computation",
   "zh": "IBVS 反馈计算",
   "level": "l2"
  },
  "CAP_42c02fba": {
   "en": "Velocity Control And Robot Execution",
   "zh": "速度控制与执行闭环",
   "level": "l2"
  },
  "CAP_72bdb0fa": {
   "en": "Reference Selection And Switching",
   "zh": "参考特征选择与切换",
   "level": "l3"
  },
  "CAP_be2fe9aa": {
   "en": "Visual Target Pose Estimation",
   "zh": "视觉目标位姿估计",
   "level": "l2"
  },
  "CAP_d2285cd5": {
   "en": "Cartesian Velocity Control And Platform Execution",
   "zh": "笛卡尔速度控制与平台执行",
   "level": "l2"
  },
  "CAP_04a01747": {
   "en": "Landing State Machine Execution",
   "zh": "降落状态机执行",
   "level": "l3"
  },
  "CAP_ec2c7a59": {
   "en": "Driving Data Acquisition And Preprocessing",
   "zh": "驾驶数据采集与预处理",
   "level": "l2"
  },
  "CAP_7a807184": {
   "en": "PilotNet Model Training",
   "zh": "PilotNet 模型训练",
   "level": "l2"
  },
  "CAP_16ee1bee": {
   "en": "On-Vehicle Inference And Closed-loop Driving",
   "zh": "车载推理与闭环驾驶",
   "level": "l2"
  },
  "CAP_597ec7df": {
   "en": "PilotNet CNN Architecture Definition",
   "zh": "PilotNet CNN 架构定义",
   "level": "l3"
  },
  "CAP_4995573a": {
   "en": "On-Vehicle CNN Inference",
   "zh": "车载 CNN 推理",
   "level": "l3"
  },
  "CAP_73e5bebe": {
   "en": "Autonomous Driving Evaluation",
   "zh": "自动驾驶评估",
   "level": "l3"
  },
  "CAP_8f4a2c1e": {
   "en": "Visual Servo Insertion",
   "zh": "视觉伺服插入",
   "level": "l2"
  },
  "CAP_2f3a4b5c": {
   "en": "PBVS Convergence and Insertion Completion",
   "zh": "PBVS 收敛与插入完成",
   "level": "l3"
  },
  "CAP_8f9a0b1c": {
   "en": "2.5D Convergence and Insertion Completion",
   "zh": "2.5D 收敛与插入完成",
   "level": "l3"
  },
  "CAP_b1ba6a3d": {
   "en": "Marginalization and Window Sliding (VIO)",
   "zh": "边缘化与窗口滑动（VIO）",
   "level": "l3"
  },
  "CAP_7cedc791": {
   "en": "Feature Extraction with Depth Association",
   "zh": "特征提取与深度关联",
   "level": "l3"
  },
  "CAP_faeb591f": {
   "en": "Frame-to-Model PnP Feature Tracking",
   "zh": "帧到模型PnP特征跟踪",
   "level": "l3"
  },
  "CAP_b6a8bb86": {
   "en": "Working Memory / Long-Term Memory Management",
   "zh": "工作记忆/长期记忆两级管理",
   "level": "l3"
  },
  "CAP_ef15c44a": {
   "en": "Mapping Dispatch and Output",
   "zh": "建图派发与输出",
   "level": "l3"
  },
  "CAP_71b54c38": {
   "en": "Probabilistic Elevation Map Construction",
   "zh": "概率高程地图构建",
   "level": "l2"
  },
  "CAP_b6c05ed5": {
   "en": "Probabilistic Height Fusion",
   "zh": "概率高程融合",
   "level": "l3"
  },
  "CAP_d8196918": {
   "en": "Derived Layer Computation",
   "zh": "派生层计算",
   "level": "l2"
  },
  "CAP_69ad275d": {
   "en": "Terrain Path Planning Interface",
   "zh": "地形路径规划接口",
   "level": "l2"
  },
  "CAP_ce1c193e": {
   "en": "Physical Decoder Training",
   "zh": "物理解码器训练",
   "level": "l2"
  },
  "CAP_5f032c8c": {
   "en": "Proprioception Terrain Geometry Observation",
   "zh": "本体感知与地形几何观测历史",
   "level": "l3"
  },
  "CAP_f0217825": {
   "en": "Twin Physical Decoder Training",
   "zh": "双生物理解码器训练",
   "level": "l3"
  },
  "CAP_57d4a184": {
   "en": "Cross-Modal Supervision Generation",
   "zh": "跨模态自监督标签生成",
   "level": "l2"
  },
  "CAP_280137cf": {
   "en": "Physical Decoder Real Deployment",
   "zh": "物理解码器真实部署",
   "level": "l3"
  },
  "CAP_599ff811": {
   "en": "Visual Network Online Learning",
   "zh": "视觉网络在线学习",
   "level": "l2"
  },
  "CAP_2708b512": {
   "en": "Dense Physical Parameter Prediction",
   "zh": "稠密物理参数预测",
   "level": "l3"
  },
  "CAP_2503f270": {
   "en": "BEV Costmap Generation",
   "zh": "BEV 代价地图生成",
   "level": "l2"
  },
  "CAP_8598bebd": {
   "en": "VINS Pose-Graph Reuse Relocalization Pipeline",
   "zh": "VINS 位姿图复用重定位流水线",
   "level": "l2"
  },
  "CAP_973e8bd5": {
   "en": "IMU Dead-Reckoning Bridge During Visual Loss",
   "zh": "视觉丢失期间 IMU 航位推算桥接",
   "level": "l3"
  },
  "CAP_74bdb907": {
   "en": "Relocalization Pose Feedback to VIO",
   "zh": "重定位位姿反馈至 VIO 滑动窗口",
   "level": "l3"
  },
  "CAP_31dd75cf": {
   "en": "ORB-SLAM3 Atlas Cross-Map PnP Relocalization",
   "zh": "ORB-SLAM3 Atlas 跨图 PnP 重定位",
   "level": "l3"
  },
  "CAP_24b75edd": {
   "en": "ORB-SLAM3 LoopClosing Map Merging",
   "zh": "ORB-SLAM3 回环线程地图合并",
   "level": "l3"
  },
  "CAP_f6d9617e": {
   "en": "Mid-Point IMU Preintegration on SO(3)",
   "zh": "SO(3) 流形中点法 IMU 预积分累加",
   "level": "l3"
  },
  "CAP_61e5e7c9": {
   "en": "Bias Jacobian Precomputation and First-Order Relinearization",
   "zh": "零偏雅可比预计算与一阶重线性化",
   "level": "l3"
  },
  "CAP_e8469ccc": {
   "en": "Inertial Residual and Analytic Jacobian Construction",
   "zh": "惯性残差与解析雅可比构造",
   "level": "l3"
  },
  "CAP_bd8aa2f2": {
   "en": "MSCKF Error-State EKF Preintegration Pipeline",
   "zh": "MSCKF 误差状态 EKF 预积分流水线",
   "level": "l2"
  },
  "CAP_f1c8993c": {
   "en": "Covariance Forward Propagation with Cloned Poses",
   "zh": "含克隆位姿的协方差前向传播",
   "level": "l3"
  },
  "CAP_ce727d2d": {
   "en": "PIM Object IMU Measurement Accumulation",
   "zh": "PIM 对象 IMU 测量累积",
   "level": "l3"
  },
  "CAP_64f51451": {
   "en": "CombinedImuFactor Construction with AutoDiff Jacobians",
   "zh": "CombinedImuFactor 因子构造与自动微分雅可比",
   "level": "l3"
  },
  "CAP_4ff97d25": {
   "en": "Bias Random Walk BetweenFactor Modeling",
   "zh": "零偏随机游走 BetweenFactor 建模",
   "level": "l3"
  },
  "CAP_cde81964": {
   "en": "VINS-Mono Accelerometer Bias Refinement",
   "zh": "VINS-Mono 加速度零偏精修",
   "level": "l3"
  },
  "CAP_df5d6d20": {
   "en": "ORB-SLAM3 Inertial-Only MAP Initialization",
   "zh": "ORB-SLAM3 惯性-only MAP 初始化流水线",
   "level": "l3"
  },
  "CAP_d6fbe998": {
   "en": "Closed-Form Joint VI Initialization Pipeline",
   "zh": "闭式联合视觉惯性初始化流水线",
   "level": "l2"
  },
  "CAP_b07de989": {
   "en": "MSCKF Filter Marginalization Pipeline",
   "zh": "MSCKF 滤波边缘化流水线",
   "level": "l2"
  },
  "CAP_ef26eec1": {
   "en": "Smoothing Horizon Variable Detection",
   "zh": "平滑窗口变量识别",
   "level": "l3"
  },
  "CAP_af1e8287": {
   "en": "MSCKF Oldest Clone Marginalization",
   "zh": "MSCKF 最老克隆边缘化",
   "level": "l3"
  },
  "CAP_a6aecc44": {
   "en": "KLT Optical Flow Feature Tracking",
   "zh": "KLT光流特征跟踪",
   "level": "l3"
  },
  "CAP_661fb4f2": {
   "en": "VINS Optimization Failure Detection",
   "zh": "VINS优化法失效检测与硬重置",
   "level": "l2"
  },
  "CAP_5ebe50fb": {
   "en": "VINS State Clear and Hard Reset",
   "zh": "VINS状态清空与硬重置",
   "level": "l3"
  },
  "CAP_5a4daedf": {
   "en": "IMU-Only Propagation Bridge",
   "zh": "纯IMU传播桥接",
   "level": "l3"
  },
  "CAP_6d352118": {
   "en": "VIO MSCKF Chi-Square Gating",
   "zh": "VIO MSCKF卡方门控测量拒绝",
   "level": "l2"
  },
  "CAP_3b522555": {
   "en": "Feature Measurement Residual Computation",
   "zh": "特征测量残差计算",
   "level": "l3"
  },
  "CAP_ea92467a": {
   "en": "Filtered Measurement EKF Update",
   "zh": "内点测量EKF滤波更新",
   "level": "l3"
  },
  "CAP_7d2aee95": {
   "en": "IMU Integration During Lost Period",
   "zh": "丢失期间IMU积分维持",
   "level": "l3"
  },
  "CAP_847a15d9": {
   "en": "Action Space Schema Definition",
   "zh": "动作空间模式定义",
   "level": "l2"
  },
  "CAP_e1c4b7a3": {
   "en": "Action Token Vocabulary LLM Injection",
   "zh": "动作token词表LLM注入",
   "level": "l3"
  },
  "CAP_a62a0ff0": {
   "en": "6D Rotation Representation Reconstruction",
   "zh": "6D旋转表示重建",
   "level": "l3"
  },
  "CAP_39a83a64": {
   "en": "Action Dequantization and Dispatch",
   "zh": "动作反量化与执行下发",
   "level": "l2"
  },
  "CAP_49ed50dc": {
   "en": "Diffusion Condition Observation Encoding",
   "zh": "扩散条件观测编码",
   "level": "l3"
  },
  "CAP_f0be1708": {
   "en": "Action Flow Consistency Distillation",
   "zh": "动作流一致性蒸馏",
   "level": "l3"
  },
  "CAP_cadca216": {
   "en": "Action Generation Acceleration",
   "zh": "动作生成加速",
   "level": "l2"
  },
  "CAP_2618ba85": {
   "en": "One-Step Action Flow Generation",
   "zh": "单步动作流生成",
   "level": "l3"
  },
  "CAP_8910fca2": {
   "en": "Unified Action Space Construction",
   "zh": "统一动作空间构建",
   "level": "l2"
  },
  "CAP_98c218d4": {
   "en": "Action Dimension Schema Definition",
   "zh": "动作维度模式定义",
   "level": "l3"
  },
  "CAP_2d01c2ae": {
   "en": "Per-Dataset Normalization Statistics Collection",
   "zh": "逐数据集归一化统计量采集",
   "level": "l3"
  },
  "CAP_fe00aa74": {
   "en": "Componentized VLA with Generative Action Head",
   "zh": "组件化VLA+生成式动作头",
   "level": "l2"
  },
  "CAP_133d7602": {
   "en": "World Model Augmented VLA Pipeline",
   "zh": "世界模型增强VLA流水线",
   "level": "l2"
  },
  "CAP_63853193": {
   "en": "VLA Action Token Decoding",
   "zh": "VLA动作token解码",
   "level": "l3"
  },
  "CAP_ecc2d36f": {
   "en": "3D Scene Multi Modal Input Encoding",
   "zh": "3D场景多模态输入编码",
   "level": "l3"
  },
  "CAP_113688c3": {
   "en": "Multimodal Geometric Feature Extraction",
   "zh": "多模态几何特征提取",
   "level": "l3"
  },
  "CAP_ac2e6d8d": {
   "en": "Latent Visual Dynamics Corrector Training",
   "zh": "潜在视觉动力学纠正器训练",
   "level": "l3"
  },
  "CAP_970515d5": {
   "en": "Passive Scene Description Feedback",
   "zh": "被动场景描述反馈",
   "level": "l3"
  },
  "CAP_5e117033": {
   "en": "Human Interaction Feedback Reception",
   "zh": "人类交互反馈接收",
   "level": "l3"
  },
  "CAP_24a02d93": {
   "en": "Emergent Infeasible Goal Substitution",
   "zh": "涌现式不可行目标替代",
   "level": "l3"
  },
  "CAP_e9b814ef": {
   "en": "Situated Feedback Incorporation",
   "zh": "执行中situated反馈消化",
   "level": "l3"
  },
  "CAP_dde55036": {
   "en": "Atomic Command Deduction And Dispatch",
   "zh": "原子命令推导与下发",
   "level": "l3"
  },
  "CAP_c87180ef": {
   "en": "Synthetic Prompt Data Generation",
   "zh": "合成prompt数据生成",
   "level": "l3"
  },
  "CAP_85e1b4ec": {
   "en": "Hierarchical VLM VLA Coordination",
   "zh": "分层VLM-VLA协调",
   "level": "l3"
  },
  "CAP_7866f7fe": {
   "en": "Embodied CoT Reasoning Augmentation",
   "zh": "具身思维链推理增强",
   "level": "l2"
  },
  "CAP_8712de8b": {
   "en": "Natural Language Reasoning Intervention",
   "zh": "自然语言推理干预",
   "level": "l3"
  },
  "CAP_f4ebef14": {
   "en": "Embodied Reasoning Cross Embodiment Transfer",
   "zh": "推理链跨 embodiment 零样本迁移",
   "level": "l3"
  },
  "CAP_0ab04b34": {
   "en": "VLA Reasoning RL Enhancement",
   "zh": "VLA 推理强化学习增强",
   "level": "l2"
  },
  "CAP_076af334": {
   "en": "VLA CoT Supervised Fine Tuning",
   "zh": "VLA CoT 监督微调",
   "level": "l3"
  },
  "CAP_94067f61": {
   "en": "Verifiable Reward Computation",
   "zh": "可验证 reward 计算",
   "level": "l3"
  },
  "CAP_1f1b617f": {
   "en": "GRPO RL VLA Optimization",
   "zh": "GRPO RL VLA 优化",
   "level": "l3"
  },
  "CAP_0a1d8379": {
   "en": "High Level Subtask Prediction",
   "zh": "高层子任务预测",
   "level": "l3"
  },
  "CAP_8e275ecc": {
   "en": "Subtask Conditioned Flow Matching Action Generation",
   "zh": "子任务条件流匹配动作生成",
   "level": "l3"
  },
  "CAP_527425ae": {
   "en": "Implicit Natural Language Instruction Design",
   "zh": "隐式自然语言指令设计",
   "level": "l3"
  },
  "CAP_cace0073": {
   "en": "Long Horizon Reasoning Task Design",
   "zh": "长程多步推理任务设计",
   "level": "l3"
  },
  "CAP_4cc456dd": {
   "en": "Evaluation Blindspot Diagnosis",
   "zh": "评测盲点诊断",
   "level": "l3"
  },
  "CAP_20f9a40b": {
   "en": "Foresight Future Correction",
   "zh": "前视未来校正",
   "level": "l3"
  },
  "CAP_61a9939f": {
   "en": "Loop Divergence Detection",
   "zh": "控制环发散检测",
   "level": "l3"
  },
  "CAP_5f894d56": {
   "en": "Onboard Control Loop Integration",
   "zh": "板载控制环集成",
   "level": "l2"
  },
  "CAP_98424700": {
   "en": "Cloud VLA Serving",
   "zh": "云端VLA服务",
   "level": "l2"
  },
  "CAP_1e687199": {
   "en": "Remote Client Integration",
   "zh": "远程客户端集成",
   "level": "l3"
  },
  "CAP_f6150bd9": {
   "en": "High Throughput VLA Serving",
   "zh": "高吞吐VLA服务",
   "level": "l2"
  },
  "CAP_3e183f0b": {
   "en": "Network Streamed Robot Control",
   "zh": "网络流式机器人控制",
   "level": "l2"
  },
  "CAP_9b13a41a": {
   "en": "Action Chunk Streaming",
   "zh": "动作分块流式传输",
   "level": "l3"
  },
  "CAP_8274f6c3": {
   "en": "Network Latency Compensation",
   "zh": "网络延迟补偿",
   "level": "l3"
  },
  "CAP_00347728": {
   "en": "Multi-Modal Synchronized Recording",
   "zh": "多模态同步录制",
   "level": "l3"
  },
  "CAP_23049c9b": {
   "en": "Procedural Trajectory Generation",
   "zh": "程序化轨迹生成",
   "level": "l3"
  },
  "CAP_65213209": {
   "en": "Photorealistic Simulation Rendering",
   "zh": "照片级仿真渲染",
   "level": "l3"
  },
  "CAP_74f5c581": {
   "en": "Automated Language Instruction Generation",
   "zh": "自动语言指令生成",
   "level": "l3"
  },
  "CAP_c4e9399d": {
   "en": "Web Video Action Data Mining",
   "zh": "网络视频动作数据挖掘",
   "level": "l2"
  },
  "CAP_c0812c84": {
   "en": "Video Crawling and Content Filtering",
   "zh": "视频爬取与内容过滤",
   "level": "l3"
  },
  "CAP_9fbb47cd": {
   "en": "Action Inference and Triplet Construction",
   "zh": "动作推断与三元组构造",
   "level": "l3"
  },
  "CAP_2c16078f": {
   "en": "Contrastive Latent Action Pretraining",
   "zh": "对比潜在动作预训练",
   "level": "l3"
  },
  "CAP_311003bd": {
   "en": "VLM-Based Action Instruction Generation",
   "zh": "基于VLM的动作指令生成",
   "level": "l3"
  },
  "CAP_ddc04bbd": {
   "en": "Policy Fusion Network",
   "zh": "策略融合网络",
   "level": "l3"
  },
  "CAP_b7302778": {
   "en": "VLM Robotic Fine-Tuning",
   "zh": "VLM机器人微调",
   "level": "l2"
  },
  "CAP_b83db590": {
   "en": "Continuous Action Head Loading",
   "zh": "连续动作头加载",
   "level": "l3"
  },
  "CAP_410ab52a": {
   "en": "FiLM Language Conditioning Setup",
   "zh": "FiLM语言条件调节配置",
   "level": "l3"
  },
  "CAP_6636a734": {
   "en": "Multi Image Input Fusion",
   "zh": "多图输入融合",
   "level": "l3"
  },
  "CAP_70f705f8": {
   "en": "OpenFlamingo VLM Backbone Loading",
   "zh": "OpenFlamingo VLM基座加载",
   "level": "l3"
  },
  "CAP_94de3b99": {
   "en": "LSTM Policy Head Temporal Modeling",
   "zh": "LSTM策略头时序建模",
   "level": "l3"
  },
  "CAP_b7ee2d3e": {
   "en": "CALVIN Long-Horizon IL Training",
   "zh": "CALVIN长程多任务IL训练",
   "level": "l3"
  },
  "CAP_50c80855": {
   "en": "End-to-End Generative VLM Single-Frame Scene Captioning",
   "zh": "端到端生成式 VLM 单帧场景描述",
   "level": "l2"
  },
  "CAP_ffe5c9ba": {
   "en": "Structured Perception Scene Verbalization",
   "zh": "结构化感知驱动场景语言化",
   "level": "l2"
  },
  "CAP_e2acb04a": {
   "en": "Scene Description Prompt Templating",
   "zh": "场景描述指令提示词构造",
   "level": "l3"
  },
  "CAP_c7040676": {
   "en": "Caption Postprocess and Logging",
   "zh": "描述后处理与监控日志化",
   "level": "l3"
  },
  "CAP_512cf0b5": {
   "en": "Candidate Vocabulary Construction",
   "zh": "候选物体词表构造",
   "level": "l3"
  },
  "CAP_f3a15f5b": {
   "en": "LLM Scene Verbalization",
   "zh": "LLM 场景语言化",
   "level": "l3"
  },
  "CAP_73c2e271": {
   "en": "Structured Scene Logging",
   "zh": "结构化场景感知日志化",
   "level": "l3"
  },
  "CAP_ff215244": {
   "en": "Realtime Video Frame Capture",
   "zh": "实时视频帧抓取",
   "level": "l3"
  },
  "CAP_f41f2fa9": {
   "en": "Subband Energy Extraction",
   "zh": "子带能量特征提取",
   "level": "l3"
  },
  "CAP_f7287945": {
   "en": "Noise Model Online Update",
   "zh": "噪声模型在线自适应",
   "level": "l3"
  },
  "CAP_1ae64940": {
   "en": "Silero Model Streaming Inference",
   "zh": "Silero 模型流式推理",
   "level": "l3"
  },
  "CAP_c0e51e3f": {
   "en": "Speech Probability Thresholding",
   "zh": "语音概率阈值化",
   "level": "l3"
  },
  "CAP_5040d83c": {
   "en": "Rolling Audio Buffer",
   "zh": "滚动音频缓冲",
   "level": "l3"
  },
  "CAP_fab06d55": {
   "en": "Multichannel Speech Probability",
   "zh": "多说话人语音概率聚合",
   "level": "l3"
  },
  "CAP_d0daf3c8": {
   "en": "VAD Pipeline Postprocess",
   "zh": "VAD pipeline 后处理",
   "level": "l3"
  },
  "CAP_04768ebf": {
   "en": "Handcrafted Acoustic Feature Extraction",
   "zh": "手工声学特征提取",
   "level": "l2"
  },
  "CAP_a37d71f6": {
   "en": "Handcrafted Signal Loading And Framing",
   "zh": "手工特征信号加载与分帧",
   "level": "l3"
  },
  "CAP_4ee94a0c": {
   "en": "Prosodic Feature Computation",
   "zh": "韵律特征计算",
   "level": "l3"
  },
  "CAP_963a9e01": {
   "en": "Spectral Feature Computation",
   "zh": "谱特征计算",
   "level": "l3"
  },
  "CAP_b2ee9b2e": {
   "en": "Voice Quality Feature Computation",
   "zh": "嗓音质量特征计算",
   "level": "l3"
  },
  "CAP_a553538b": {
   "en": "LLD Functional Aggregation",
   "zh": "LLD 统计泛函聚合",
   "level": "l3"
  },
  "CAP_811382aa": {
   "en": "Handcrafted Feature Normalization And Output",
   "zh": "手工特征规整与定长输出",
   "level": "l3"
  },
  "CAP_2d6b59e4": {
   "en": "Ssl Audio Loading And Chunking",
   "zh": "SSL 音频加载与分块",
   "level": "l3"
  },
  "CAP_59d2ce9d": {
   "en": "Hidden State Temporal Pooling",
   "zh": "隐藏态时域池化",
   "level": "l3"
  },
  "CAP_ce360c17": {
   "en": "Utterance Embedding Normalization And Output",
   "zh": "句级嵌入归一与定长输出",
   "level": "l3"
  },
  "CAP_97c77354": {
   "en": "Spectrogram Based Learned Feature Extraction",
   "zh": "谱图化学习特征提取",
   "level": "l2"
  },
  "CAP_4b744724": {
   "en": "Log Mel Spectrogram Frontend",
   "zh": "Log-Mel 谱图前端",
   "level": "l3"
  },
  "CAP_d195e824": {
   "en": "Cnn Transformer Spectrogram Encoding",
   "zh": "CNN/Transformer 谱图编码",
   "level": "l3"
  },
  "CAP_bab0ca8e": {
   "en": "Spectrogram Feature Temporal Pooling",
   "zh": "谱图特征时域池化",
   "level": "l3"
  },
  "CAP_84a92177": {
   "en": "Spectrogram Feature Normalization And Output",
   "zh": "谱图特征归一与定长输出",
   "level": "l3"
  },
  "CAP_421def1d": {
   "en": "First Frame Decoding",
   "zh": "首帧解码",
   "level": "l3"
  },
  "CAP_4d6e1f6a": {
   "en": "First Frame Loading & Target Selection",
   "zh": "首帧加载与目标选定",
   "level": "l2"
  },
  "CAP_73ed5418": {
   "en": "Mask Quality Verification & Iteration",
   "zh": "掩码质量校验与迭代",
   "level": "l2"
  },
  "CAP_b3e16562": {
   "en": "Target Match Verification",
   "zh": "目标匹配校验",
   "level": "l2"
  },
  "CAP_2296fe8a": {
   "en": "Text Query Input",
   "zh": "文本查询输入",
   "level": "l3"
  },
  "CAP_7b957324": {
   "en": "Text Query Refinement",
   "zh": "文本查询细化",
   "level": "l3"
  },
  "CAP_e7dbb220": {
   "en": "Annotation Environment Setup",
   "zh": "标注环境配置",
   "level": "l2"
  },
  "CAP_62ead86b": {
   "en": "Manual Polygon/Brush Annotation",
   "zh": "人工多边形/画笔标注",
   "level": "l2"
  },
  "CAP_bb81015e": {
   "en": "Annotation Quality QC",
   "zh": "标注质量校验",
   "level": "l2"
  },
  "CAP_189f434d": {
   "en": "Annotation Tool Configuration",
   "zh": "标注工具配置",
   "level": "l3"
  },
  "CAP_3f9bade7": {
   "en": "Label Schema Definition",
   "zh": "标签schema定义",
   "level": "l3"
  },
  "CAP_57b24532": {
   "en": "Polygon Mask Drawing",
   "zh": "多边形掩码勾绘",
   "level": "l3"
  },
  "CAP_336c3c33": {
   "en": "Brush Mask Painting",
   "zh": "画笔掩码涂抹",
   "level": "l3"
  },
  "CAP_1fe54889": {
   "en": "Mask Review & Consensus QC",
   "zh": "掩码评审与共识QC",
   "level": "l3"
  },
  "CAP_84a8e7ae": {
   "en": "Mask Rework",
   "zh": "掩码返工修正",
   "level": "l3"
  },
  "CAP_22e3e409": {
   "en": "VOS Temporal Consistency",
   "zh": "视频分割时域一致性",
   "level": "l2"
  },
  "CAP_fb7298f6": {
   "en": "Blind Video Temporal Stabilization",
   "zh": "盲视频时域稳定化",
   "level": "l3"
  },
  "CAP_fdfd6899": {
   "en": "Temporal Loss Construction",
   "zh": "时序损失构造",
   "level": "l3"
  },
  "CAP_10df01a4": {
   "en": "Iteratively Reweighted Training",
   "zh": "迭代重加权训练",
   "level": "l3"
  },
  "CAP_d38fb0c2": {
   "en": "Neural Atlas Filtering",
   "zh": "神经图集滤波",
   "level": "l3"
  },
  "CAP_5073fb5f": {
   "en": "Temporal Bilateral Propagation",
   "zh": "时域双边传播",
   "level": "l3"
  },
  "CAP_59b57aa6": {
   "en": "Mask Proposal Tracking Fusion",
   "zh": "掩码提案与跟踪融合",
   "level": "l3"
  },
  "CAP_5a8eb2c0": {
   "en": "Test-Time Auxiliary Adaptation",
   "zh": "测试时辅助网络自适应",
   "level": "l3"
  },
  "CAP_e9280a96": {
   "en": "Spatial Hash Function Evaluation",
   "zh": "空间哈希函数求值",
   "level": "l3"
  },
  "CAP_7bd6dd95": {
   "en": "Hash Collision Handling",
   "zh": "哈希冲突处理",
   "level": "l3"
  },
  "CAP_5e9c6781": {
   "en": "Frustum Block Selection",
   "zh": "视锥体素块选择",
   "level": "l3"
  },
  "CAP_896f7d84": {
   "en": "Voxel Block Garbage Collection",
   "zh": "体素块垃圾收集",
   "level": "l3"
  },
  "CAP_6acd3f1c": {
   "en": "Bidirectional Voxel Block Streaming",
   "zh": "双向体素块流式传输",
   "level": "l3"
  },
  "CAP_96166f32": {
   "en": "Global BA Surface Reintegration",
   "zh": "全局 BA 表面重整合",
   "level": "l3"
  },
  "CAP_e13b637b": {
   "en": "Multi-Modal Sensor Frustum Configuration",
   "zh": "多模态传感器视锥配置",
   "level": "l3"
  },
  "CAP_3f430b42": {
   "en": "Observation Source Buffering",
   "zh": "观测源缓冲配置",
   "level": "l3"
  },
  "CAP_2df10b36": {
   "en": "Raycast Voxel Marking",
   "zh": "射线投射体素标记",
   "level": "l3"
  },
  "CAP_3ab9b408": {
   "en": "Occupancy Map Publication and Visualization",
   "zh": "占用地图发布与可视化",
   "level": "l3"
  },
  "CAP_03ff0029": {
   "en": "TSDF Integration into VDB Grid",
   "zh": "VDB TSDF 融合",
   "level": "l3"
  },
  "CAP_0c959112": {
   "en": "Hash-Indexed Voxel Map Construction",
   "zh": "哈希索引体素地图构建",
   "level": "l2"
  },
  "CAP_bd9a8bc5": {
   "en": "Probabilistic Plane Fitting",
   "zh": "概率平面拟合",
   "level": "l3"
  },
  "CAP_0e64e20a": {
   "en": "Cumulative Plane Covariance Update",
   "zh": "累积平面协方差更新",
   "level": "l3"
  },
  "CAP_bb49b26e": {
   "en": "Locality-Sensitive Voxel Merging",
   "zh": "局部敏感哈希体素合并",
   "level": "l3"
  },
  "CAP_527b35ac": {
   "en": "Robust State Initialization",
   "zh": "鲁棒状态初始化",
   "level": "l3"
  },
  "CAP_1ce9ef37": {
   "en": "Loop Closure Descriptor Matching",
   "zh": "回环描述子匹配",
   "level": "l3"
  },
  "CAP_77668e8a": {
   "en": "Wheel Odometry Fused VO Scale Recovery Pipeline",
   "zh": "轮速融合VO尺度恢复流水线",
   "level": "l2"
  },
  "CAP_0db52d4c": {
   "en": "Visual-Wheel Scale Alignment",
   "zh": "视觉-轮速尺度对齐",
   "level": "l3"
  },
  "CAP_5b584216": {
   "en": "Wheel IMU Raw Data Acquisition",
   "zh": "轮装 IMU 原始数据采集",
   "level": "l3"
  },
  "CAP_7de2b00a": {
   "en": "Wheel IMU Installation and Calibration",
   "zh": "轮装 IMU 安装与标定",
   "level": "l3"
  },
  "CAP_74b48a95": {
   "en": "Chassis Velocity Estimation with GNSS or VO",
   "zh": "底盘速度估计（GNSS/VO 融合）",
   "level": "l3"
  },
  "CAP_eac0e92f": {
   "en": "Learned Depth Prior VO Scale Recovery Pipeline",
   "zh": "学习型深度先验VO尺度恢复流水线",
   "level": "l2"
  },
  "CAP_78f7bc51": {
   "en": "Pretrained Depth Network Loading",
   "zh": "预训练深度网络加载",
   "level": "l3"
  },
  "CAP_e5c8e6ae": {
   "en": "Dense Depth Prediction with Uncertainty",
   "zh": "含不确定性的稠密深度预测",
   "level": "l3"
  },
  "CAP_97a1f7ff": {
   "en": "Geometric Structure Constraint Scale Recovery Pipeline",
   "zh": "几何结构约束尺度恢复流水线",
   "level": "l2"
  },
  "CAP_3a5b4e59": {
   "en": "Ground Plane Segmentation",
   "zh": "尺度恢复地面平面分割",
   "level": "l3"
  },
  "CAP_14578f4c": {
   "en": "Ground Feature Matching",
   "zh": "地面特征匹配",
   "level": "l3"
  },
  "CAP_e27dc64e": {
   "en": "Periodic Scale Re-estimation",
   "zh": "周期性尺度重估",
   "level": "l3"
  },
  "CAP_13fdc2ce": {
   "en": "VR Hand Tracking Bimanual Teleoperation",
   "zh": "VR手部追踪双臂遥操作",
   "level": "l2"
  },
  "CAP_77204e11": {
   "en": "VR Headset Pose Streaming",
   "zh": "头显位姿流式传输",
   "level": "l3"
  },
  "CAP_21bb37fb": {
   "en": "Wrist Pose Inverse Kinematics",
   "zh": "腕部位姿逆运动学",
   "level": "l3"
  },
  "CAP_3c509f85": {
   "en": "Teleoperation Collision Singularity Avoidance",
   "zh": "遥操作碰撞奇异规避",
   "level": "l3"
  },
  "CAP_5fb0de23": {
   "en": "Wearable Haptic Feedback Rendering",
   "zh": "可穿戴触觉反馈渲染",
   "level": "l3"
  },
  "CAP_41f256b6": {
   "en": "立体视频反馈流回传",
   "zh": "立体视频反馈流回传",
   "level": "l3"
  },
  "CAP_e6f12c34": {
   "en": "Bidirectional Streaming Teleoperation Infrastructure",
   "zh": "双向流式遥操作基础设施",
   "level": "l2"
  },
  "CAP_3b319053": {
   "en": "VisionOS ARKit Pose Streaming",
   "zh": "VisionOS ARKit 姿态流式采集",
   "level": "l3"
  },
  "CAP_9bc4fef3": {
   "en": "Robot Video Feedback Streaming",
   "zh": "机器人视频反馈流式回传",
   "level": "l3"
  },
  "CAP_928d463c": {
   "en": "Cross-Network Relay Teleoperation Link",
   "zh": "跨网络中继遥操作链路",
   "level": "l3"
  },
  "CAP_32e5643a": {
   "en": "AR Simulation Teleoperation Streaming",
   "zh": "AR 仿真遥操作流式传输",
   "level": "l3"
  },
  "CAP_8e4d1d50": {
   "en": "Pose Delta Simulation Streaming",
   "zh": "仿真场景姿态增量流",
   "level": "l3"
  },
  "CAP_e7443489": {
   "en": "Egocentric Dataset Recording Pipeline",
   "zh": "自我中心数据集录制管线",
   "level": "l3"
  },
  "CAP_6dd79212": {
   "en": "VR Shared Autonomy VLA Teleoperation",
   "zh": "VR共享自主VLA遥操作",
   "level": "l2"
  },
  "CAP_b006d5c0": {
   "en": "Shared Autonomy Macro-Micro Coordination",
   "zh": "共享自主macro-micro协调",
   "level": "l3"
  },
  "CAP_ac4a7c5e": {
   "en": "VR Arm End-Effector Teleoperation",
   "zh": "VR机械臂末端遥操作",
   "level": "l3"
  },
  "CAP_2d67ad93": {
   "en": "Coordinated Arm-Hand Demonstration Collection",
   "zh": "协调臂-手演示数据采集",
   "level": "l3"
  },
  "CAP_28d613fd": {
   "en": "Tactile-Aware Dexterous Hand VLA Copilot",
   "zh": "触觉感知灵巧手VLA副驾",
   "level": "l3"
  },
  "CAP_6509fbfe": {
   "en": "Tactile Dual-Path Feature Encoding",
   "zh": "触觉两路特征编码",
   "level": "l3"
  },
  "CAP_7f85bfae": {
   "en": "Force-Adaptive LSTM Grasp Policy",
   "zh": "力自适应LSTM抓取策略",
   "level": "l3"
  },
  "CAP_a1f25f41": {
   "en": "Arm-Hand Feature Enhanced VLA Fine-tuning",
   "zh": "臂手特征增强VLA微调",
   "level": "l3"
  },
  "CAP_8e43ad9a": {
   "en": "Vulnerability Management",
   "zh": "漏洞管理",
   "level": "l2"
  },
  "CAP_ddb3ccf4": {
   "en": "Multi-Source Vulnerability Matching",
   "zh": "多源漏洞匹配",
   "level": "l3"
  },
  "CAP_c31acf03": {
   "en": "Dependency Version Fix Execution",
   "zh": "依赖版本修复执行",
   "level": "l3"
  },
  "CAP_b87ba9d0": {
   "en": "CI Gate and Continuous Monitoring",
   "zh": "CI 门禁与持续监控",
   "level": "l3"
  },
  "CAP_2562eb6e": {
   "en": "Source Code Language Classification",
   "zh": "源代码语言分类",
   "level": "l3"
  },
  "CAP_c146cceb": {
   "en": "Python AST Security Scan",
   "zh": "Python AST 安全扫描",
   "level": "l3"
  },
  "CAP_fdaf0227": {
   "en": "Multi-Language Pattern and Dataflow SAST",
   "zh": "多语言模式与数据流 SAST",
   "level": "l3"
  },
  "CAP_ed5dc355": {
   "en": "SAST Finding Aggregation and Deduplication",
   "zh": "Finding 聚合与去重",
   "level": "l3"
  },
  "CAP_fcf55411": {
   "en": "Container Image SBOM Extraction",
   "zh": "镜像 SBOM 提取",
   "level": "l3"
  },
  "CAP_91144b1d": {
   "en": "VEX-Based Vulnerability Filtering",
   "zh": "VEX 过滤不可达漏洞",
   "level": "l3"
  },
  "CAP_bcd2e8d1": {
   "en": "Registry Gatekeeping Policy Enforcement",
   "zh": "注册表门禁策略执行",
   "level": "l3"
  },
  "CAP_abd03c06": {
   "en": "Vacuum Negative Pressure Adhesion Control",
   "zh": "真空负压吸附控制",
   "level": "l2"
  },
  "CAP_6152755a": {
   "en": "Wall Surface Inspection",
   "zh": "壁面形貌检测与材质分类",
   "level": "l3"
  },
  "CAP_3b2ee035": {
   "en": "Suction Cup Pose Alignment",
   "zh": "吸盘位姿对准",
   "level": "l3"
  },
  "CAP_fae4afa3": {
   "en": "Vacuum Sealed Chamber Establishment",
   "zh": "吸盘密封腔负压建立",
   "level": "l3"
  },
  "CAP_4f92e733": {
   "en": "Feedforward Motion Compensation",
   "zh": "运动前馈负压补偿",
   "level": "l3"
  },
  "CAP_64d2130a": {
   "en": "Leakage Detection and Adaptive Compensation",
   "zh": "泄漏检测与自适应补偿",
   "level": "l3"
  },
  "CAP_d07d3a9a": {
   "en": "Multi-Sucker Coordinated Allocation",
   "zh": "多吸盘协调分配控制",
   "level": "l3"
  },
  "CAP_4c6d7584": {
   "en": "Seal Failure Fault-Tolerant Control",
   "zh": "密封失效容错控制",
   "level": "l3"
  },
  "CAP_e9879321": {
   "en": "Magnetic Adhesion Control",
   "zh": "磁吸附控制",
   "level": "l2"
  },
  "CAP_5612d4c0": {
   "en": "Magnetic Circuit Topology Design",
   "zh": "磁路拓扑设计与材料选型",
   "level": "l3"
  },
  "CAP_7791d49b": {
   "en": "Finite Element Magnetic Simulation",
   "zh": "有限元磁路仿真与参数优化",
   "level": "l3"
  },
  "CAP_37610ec8": {
   "en": "Permanent Magnet Passive Adhesion",
   "zh": "永磁被动吸附",
   "level": "l3"
  },
  "CAP_6f78e630": {
   "en": "Electromagnetic Active Adhesion Regulation",
   "zh": "电磁主动吸附力调节",
   "level": "l3"
  },
  "CAP_a7d7651f": {
   "en": "Magnetic Wheel/Track Coordinated Motion",
   "zh": "磁轮/磁履带协同运动控制",
   "level": "l3"
  },
  "CAP_a338608a": {
   "en": "Adhesion Force Decay Detection and Gap Compensation",
   "zh": "吸附力衰减检测与气隙补偿",
   "level": "l3"
  },
  "CAP_273ac0d7": {
   "en": "Emergency Magnetic Protection",
   "zh": "紧急失磁保护",
   "level": "l3"
  },
  "CAP_89a369ac": {
   "en": "Controlled Demagnetization and Detachment",
   "zh": "受控脱磁与壁面分离",
   "level": "l3"
  },
  "CAP_a933b86a": {
   "en": "Dry Adhesion and Microspine Climbing Control",
   "zh": "微刺与仿生干粘附控制",
   "level": "l2"
  },
  "CAP_e928554b": {
   "en": "Micro-Nano Bristle Array Design",
   "zh": "微纳刚毛阵列结构设计",
   "level": "l3"
  },
  "CAP_59d112a8": {
   "en": "Dry Adhesive Material Fabrication",
   "zh": "干粘附材料制备与表征",
   "level": "l3"
  },
  "CAP_74a0f273": {
   "en": "Preload Force Adhesion Establishment",
   "zh": "预加载力粘附建立",
   "level": "l3"
  },
  "CAP_d72f335c": {
   "en": "Peeling Angle Controlled Detachment",
   "zh": "剥离角主动脱附控制",
   "level": "l3"
  },
  "CAP_760a7462": {
   "en": "Diagonal Gait Adhesion Coordination",
   "zh": "对角步态粘脱附协调控制",
   "level": "l3"
  },
  "CAP_f1b17581": {
   "en": "Electroadhesion Voltage Control",
   "zh": "电粘附电压主动调节",
   "level": "l3"
  },
  "CAP_21360aa7": {
   "en": "Adhesion Force Decay Detection and Recovery",
   "zh": "粘附力衰减检测与恢复",
   "level": "l3"
  },
  "CAP_dd79819d": {
   "en": "Emergency Fall Prevention",
   "zh": "紧急防坠落保护",
   "level": "l3"
  },
  "CAP_b93c5ea8": {
   "en": "Controlled Detachment and Surface Release",
   "zh": "受控脱附与壁面分离",
   "level": "l3"
  },
  "CAP_e4319e5b": {
   "en": "LaserScan Sector Minimum Extraction",
   "zh": "侧向扇区最近点提取",
   "level": "l3"
  },
  "CAP_018f1683": {
   "en": "Lateral Distance Error Computation",
   "zh": "横向距离误差计算",
   "level": "l3"
  },
  "CAP_15412615": {
   "en": "Wall-Distance PD Control",
   "zh": "墙距PD控制律",
   "level": "l3"
  },
  "CAP_37bdbcd5": {
   "en": "Wall-Angle Proportional Correction",
   "zh": "墙角度P校正",
   "level": "l3"
  },
  "CAP_ba5741ab": {
   "en": "Corner Detection and Rotation Recovery",
   "zh": "凹凸角点检测与旋转恢复",
   "level": "l3"
  },
  "CAP_a41b4309": {
   "en": "Forward Speed Regulation",
   "zh": "前向速度分级调节",
   "level": "l3"
  },
  "CAP_e2255c7d": {
   "en": "Differential Drive Velocity Command Publishing",
   "zh": "差速轮速度指令发布",
   "level": "l3"
  },
  "CAP_43db19a7": {
   "en": "Wall-Following Distance Control",
   "zh": "恒距沿墙闭环控制",
   "level": "l2"
  },
  "CAP_fdf02a8a": {
   "en": "Laser Ranging Observation Encoding",
   "zh": "激光测距观测编码",
   "level": "l3"
  },
  "CAP_ca6978c3": {
   "en": "Neural Network Policy Inference",
   "zh": "神经网络策略推理",
   "level": "l3"
  },
  "CAP_e11c62b8": {
   "en": "Behavior Fitness Evaluation",
   "zh": "行为适应度评估",
   "level": "l3"
  },
  "CAP_5b10322b": {
   "en": "Population-Based Policy Search",
   "zh": "基于种群的策略搜索（差分进化）",
   "level": "l3"
  },
  "CAP_260fa721": {
   "en": "Off-Policy Actor-Critic Policy Training",
   "zh": "离策略行动者-评论家策略训练（TD3）",
   "level": "l3"
  },
  "CAP_6dc5a32d": {
   "en": "Simulation Training Loop Orchestration",
   "zh": "仿真训练闭环编排",
   "level": "l3"
  },
  "CAP_294e5c32": {
   "en": "Learned Wall-Following Policy Training",
   "zh": "学习型沿墙策略训练",
   "level": "l2"
  },
  "CAP_52045922": {
   "en": "2D Laser Scan Line Segment Extraction",
   "zh": "2D 激光扫描线段提取",
   "level": "l2"
  },
  "CAP_66fbcd41": {
   "en": "Split-and-Merge Line Segmentation",
   "zh": "分治合并线段分割",
   "level": "l3"
  },
  "CAP_0d21bee2": {
   "en": "Weighted Least Squares Line Fitting",
   "zh": "加权最小二乘线段拟合",
   "level": "l3"
  },
  "CAP_34ac03e3": {
   "en": "Segment Merging by Mahalanobis Distance",
   "zh": "马氏距离线段合并",
   "level": "l3"
  },
  "CAP_8c016bba": {
   "en": "LineSegment Message Publishing & Visualization",
   "zh": "线段消息发布与可视化",
   "level": "l3"
  },
  "CAP_37ac0f92": {
   "en": "3D Point Cloud Wall Plane Extraction & 2D Projection",
   "zh": "3D 点云墙面平面提取与二维投影",
   "level": "l2"
  },
  "CAP_55d93f67": {
   "en": "Vertical Plane Filtering",
   "zh": "垂直平面过滤",
   "level": "l3"
  },
  "CAP_a6c59b16": {
   "en": "Wall Plane to 2D Line Projection",
   "zh": "墙面平面到二维线段投影",
   "level": "l3"
  },
  "CAP_57baca15": {
   "en": "Wall Segment Merging by Endpoint Distance",
   "zh": "端点距离墙线段合并",
   "level": "l3"
  },
  "CAP_5e3952f7": {
   "en": "LineSet Construction & Export",
   "zh": "线段集构造与导出",
   "level": "l3"
  },
  "CAP_938a0fe8": {
   "en": "RGBD Scan Aggregation to Point Cloud & Density Image",
   "zh": "RGBD 扫描聚合为点云与密度图",
   "level": "l3"
  },
  "CAP_9043e5d8": {
   "en": "Tri-Branch Feature Extraction",
   "zh": "三分支特征提取",
   "level": "l3"
  },
  "CAP_ebb1bf7c": {
   "en": "SRBD with Angular Momentum Formulation",
   "zh": "单刚体角动量建模",
   "level": "l3"
  },
  "CAP_20cba179": {
   "en": "Centroidal NLP Collocation Formulation",
   "zh": "质心NLP配点问题构造",
   "level": "l3"
  },
  "CAP_1ecaed09": {
   "en": "Centroidal Momentum Reference Trajectory Output",
   "zh": "质心动量参考轨迹输出",
   "level": "l3"
  },
  "CAP_636755f4": {
   "en": "Centroidal Dynamics Prediction Model",
   "zh": "质心动力学预测模型",
   "level": "l3"
  },
  "CAP_5fd72721": {
   "en": "Centroidal Momentum MPC QP Formulation",
   "zh": "质心动量MPC QP构造",
   "level": "l3"
  },
  "CAP_da449e3b": {
   "en": "First-step Momentum Rate Application",
   "zh": "首步动量率执行",
   "level": "l3"
  },
  "CAP_ef2fe166": {
   "en": "Centroidal Momentum Reference Tracking",
   "zh": "质心动量参考跟踪",
   "level": "l3"
  },
  "CAP_5fadb06e": {
   "en": "Centroidal Momentum Rate QP Control Pipeline",
   "zh": "质心动量率QP控制管线",
   "level": "l2"
  },
  "CAP_6d706408": {
   "en": "Centroidal Momentum Rate Reference Computation",
   "zh": "质心动量率参考计算",
   "level": "l3"
  },
  "CAP_a09a2d86": {
   "en": "Contact Wrench Cone Building",
   "zh": "接触力旋量锥构建",
   "level": "l3"
  },
  "CAP_b2ea7fd7": {
   "en": "WBC Single-Stage Whole Body Contact QP",
   "zh": "单阶段全身接触力联合 QP",
   "level": "l2"
  },
  "CAP_36fd5ef7": {
   "en": "WBC CWC Polytope Projection Planning",
   "zh": "接触力锥多面体投影规划",
   "level": "l2"
  },
  "CAP_add6fc24": {
   "en": "WBC Force Regularization Task",
   "zh": "接触力正则化任务",
   "level": "l3"
  },
  "CAP_95e3f407": {
   "en": "WBC Strict Priority QP Cascade",
   "zh": "严格优先级级联 QP 求解",
   "level": "l3"
  },
  "CAP_cf1d2ed7": {
   "en": "WBC Contact Wrench Cone Projection",
   "zh": "单接触 wrench 锥多面体投影",
   "level": "l3"
  },
  "CAP_c36a0658": {
   "en": "WBC Multi-Contact CWC Minkowski Sum",
   "zh": "多接触 CWC Minkowski sum 合并",
   "level": "l3"
  },
  "CAP_beccfa5d": {
   "en": "WBC CWC Stability Test",
   "zh": "CWC 点-多面体稳定性测试",
   "level": "l3"
  },
  "CAP_9607ca71": {
   "en": "WBC CWC as Optimization Constraint",
   "zh": "CWC 作为优化线性约束",
   "level": "l3"
  },
  "CAP_d650c222": {
   "en": "WBC Offline Feasibility Test",
   "zh": "离线动作可行性测试",
   "level": "l3"
  },
  "CAP_f8465dae": {
   "en": "Contact-Consistent QP WBC Pipeline",
   "zh": "接触一致 QP 全身控制管线",
   "level": "l2"
  },
  "CAP_41bbf55a": {
   "en": "Floating-Base Dynamics Real-time Evaluation",
   "zh": "浮动基座动力学实时计算",
   "level": "l3"
  },
  "CAP_f63be870": {
   "en": "Floating-Base Lie-Manifold State Construction",
   "zh": "浮动基座 Lie 流形状态构造",
   "level": "l3"
  },
  "CAP_9c28a2af": {
   "en": "Receding Horizon First-Control Execution",
   "zh": "滚动时域首步控制执行",
   "level": "l3"
  },
  "CAP_5a3f3a26": {
   "en": "WBC Torque QP Optimization Pipeline",
   "zh": "全身控制关节力矩 QP 优化管线",
   "level": "l2"
  },
  "CAP_9a15a2ac": {
   "en": "Floating-Base Dynamics Assembly",
   "zh": "浮动基座动力学装配",
   "level": "l3"
  },
  "CAP_6dda8191": {
   "en": "WBC Task Constraint Encoding",
   "zh": "全身控制任务约束编码",
   "level": "l3"
  },
  "CAP_d1b46848": {
   "en": "Hierarchical QP Solving",
   "zh": "层级 QP 求解",
   "level": "l3"
  },
  "CAP_75da039d": {
   "en": "Weighted QP Solving",
   "zh": "加权 QP 求解",
   "level": "l3"
  },
  "CAP_4ee309da": {
   "en": "Joint Torque Recovery",
   "zh": "关节力矩恢复",
   "level": "l3"
  },
  "CAP_becb39be": {
   "en": "MPC WBC Two-Layer Torque Pipeline",
   "zh": "MPC+WBC 双层力矩优化管线",
   "level": "l2"
  },
  "CAP_9bc964b8": {
   "en": "SRBD Convex MPC Contact Force Planning",
   "zh": "SRBD 凸 MPC 接触力规划",
   "level": "l3"
  },
  "CAP_468b23fa": {
   "en": "Whole-Body Inverse Dynamics Torque QP",
   "zh": "全身逆动力学力矩 QP",
   "level": "l3"
  },
  "CAP_24d56424": {
   "en": "Friction Cone QP Constraint Construction",
   "zh": "摩擦锥 QP 约束构造",
   "level": "l3"
  },
  "CAP_e8db4dc6": {
   "en": "Gait Contact Schedule Generation",
   "zh": "步态接触时序生成",
   "level": "l3"
  },
  "CAP_3c1bbfaf": {
   "en": "Model Reference Tracking Interpolation",
   "zh": "模型参考跟踪插值",
   "level": "l3"
  },
  "CAP_d34d8a48": {
   "en": "RL Residual Feedback Torque Augmentation",
   "zh": "RL 残差反馈力矩增强",
   "level": "l3"
  },
  "CAP_ed9b0fef": {
   "en": "Whole-Body DDP Optimal Control Pipeline",
   "zh": "全身 DDP 最优控制管线",
   "level": "l2"
  },
  "CAP_23391d3a": {
   "en": "Interior-Point Whole-Body MPC Solving",
   "zh": "内点法全身 MPC 求解",
   "level": "l2"
  },
  "CAP_9453a9b3": {
   "en": "Whole-Body OCP Construction",
   "zh": "全身最优控制问题构建",
   "level": "l3"
  },
  "CAP_c2ba2cd2": {
   "en": "Time-Varying Feedback Gain Extraction",
   "zh": "时变反馈增益提取",
   "level": "l3"
  },
  "CAP_fdb1846a": {
   "en": "Receding-Horizon Warm-Start Re-solving",
   "zh": "滚动时域热启动重解",
   "level": "l3"
  },
  "CAP_d9d3488d": {
   "en": "Inverse-Dynamics RNEA Path Constraint",
   "zh": "逆动力学 RNEA 路径约束",
   "level": "l3"
  },
  "CAP_2cf08436": {
   "en": "Block-Sparse Interior-Point NLP Solving",
   "zh": "块稀疏内点 NLP 求解",
   "level": "l3"
  },
  "CAP_a0d4e67d": {
   "en": "Code-Generated MPC Deployment",
   "zh": "代码生成 MPC 部署",
   "level": "l3"
  },
  "CAP_9b775cbf": {
   "en": "WBC QP Mode Switch",
   "zh": "全身控制 QP 模式选择",
   "level": "l3"
  },
  "CAP_df30b3f4": {
   "en": "MPC WBC State Estimation",
   "zh": "双层控制状态估计",
   "level": "l3"
  },
  "CAP_9fff78d2": {
   "en": "Joint Torque Actuator Dispatch",
   "zh": "关节力矩执行器下发",
   "level": "l3"
  },
  "CAP_33682a31": {
   "en": "Command Interpolation Torque Dispatch",
   "zh": "指令插值力矩下发",
   "level": "l3"
  },
  "CAP_145e914a": {
   "en": "State Estimation Feedback",
   "zh": "状态估计反馈回灌",
   "level": "l3"
  },
  "CAP_b1d78909": {
   "en": "External Scene Perception",
   "zh": "外部场景感知",
   "level": "l3"
  },
  "CAP_368bc3e6": {
   "en": "Loco-Manipulation Reference Planning",
   "zh": "运动操作参考规划",
   "level": "l2"
  },
  "CAP_329b0f56": {
   "en": "Whole-Body Inverse Dynamics MPC",
   "zh": "全身逆动力学MPC",
   "level": "l2"
  },
  "CAP_fa8cf2d8": {
   "en": "Real-time MPC Solving",
   "zh": "实时MPC求解",
   "level": "l3"
  },
  "CAP_f57ba945": {
   "en": "Torque-Level Execution and Safety Filtering",
   "zh": "力矩级执行与安全滤波",
   "level": "l2"
  },
  "CAP_d639ec8e": {
   "en": "Joint Torque Tracking",
   "zh": "关节力矩跟踪",
   "level": "l3"
  },
  "CAP_ee181b7b": {
   "en": "Real-Robot Deployment and Adaptation",
   "zh": "真机部署与自适应",
   "level": "l2"
  },
  "CAP_57760ef6": {
   "en": "Fault-Tolerant Control",
   "zh": "容错控制",
   "level": "l3"
  },
  "CAP_33665c42": {
   "en": "Human Video Collection",
   "zh": "人类视频采集",
   "level": "l3"
  },
  "CAP_45f52a3e": {
   "en": "Latent Action Representation Learning",
   "zh": "潜在动作表示学习",
   "level": "l3"
  },
  "CAP_52e3480f": {
   "en": "Visual Encoder Training",
   "zh": "视觉编码器训练",
   "level": "l3"
  },
  "CAP_9be4583d": {
   "en": "Action Decoder Training",
   "zh": "动作解码器训练",
   "level": "l3"
  },
  "CAP_1aa02775": {
   "en": "Cross-modal Data Alignment",
   "zh": "跨模态数据对齐",
   "level": "l3"
  },
  "CAP_39a9d9f1": {
   "en": "Whole-Body VLA Training",
   "zh": "全身VLA模型训练",
   "level": "l2"
  },
  "CAP_98a24e6d": {
   "en": "VLA Low-Level Execution",
   "zh": "VLA低层控制执行",
   "level": "l2"
  },
  "CAP_8db4a182": {
   "en": "VLA Closed-Loop Feedback and Adaptation",
   "zh": "VLA闭环反馈与自适应",
   "level": "l2"
  },
  "CAP_9b8b7516": {
   "en": "Domain Randomization for Legged Manipulation",
   "zh": "腿足操作域随机化",
   "level": "l3"
  },
  "CAP_781f3054": {
   "en": "Demonstration Data Pipeline",
   "zh": "示教数据管线",
   "level": "l2"
  },
  "CAP_9f7f9cad": {
   "en": "Rigid Contact Constraint",
   "zh": "刚性接触约束构建",
   "level": "l3"
  },
  "CAP_17cd1023": {
   "en": "Velocity Contact Equality",
   "zh": "速度层接触等式约束构建",
   "level": "l3"
  },
  "CAP_1fa0f0fd": {
   "en": "Crocoddyl DDP Soft Hierarchy Pipeline",
   "zh": "Crocoddyl 加权最优控制软分层管线",
   "level": "l2"
  },
  "CAP_b9a1aa7f": {
   "en": "Crocoddyl Cost Model Construction",
   "zh": "Crocoddyl 代价任务建模",
   "level": "l3"
  },
  "CAP_1c7b526a": {
   "en": "Crocoddyl Weighted Cost Aggregation",
   "zh": "Crocoddyl 加权代价聚合",
   "level": "l3"
  },
  "CAP_d5f9a55e": {
   "en": "ShootingProblem FDDP Solve",
   "zh": "ShootingProblem 拼接与 DDP 求解",
   "level": "l3"
  },
  "CAP_613530e8": {
   "en": "Inverse-Dynamics MPC via Nullspace",
   "zh": "Nullspace 逆动力学 MPC 严格分层混合",
   "level": "l3"
  },
  "CAP_d81d4b28": {
   "en": "Cache Behavior Classification",
   "zh": "Cache 行为分类",
   "level": "l3"
  },
  "CAP_542ebe80": {
   "en": "Pipeline Timing Analysis",
   "zh": "流水线时序分析",
   "level": "l3"
  },
  "CAP_bbd3cc89": {
   "en": "IPET ILP Path Solving",
   "zh": "IPET 整数线性规划路径求解",
   "level": "l3"
  },
  "CAP_ec9f159b": {
   "en": "WCET Benchmark Evaluation",
   "zh": "WCET 基准评测",
   "level": "l3"
  },
  "CAP_fa715ea0": {
   "en": "Execution Time Measurement",
   "zh": "执行时间测量采集",
   "level": "l3"
  },
  "CAP_ee63b8b6": {
   "en": "EVT Precondition Testing",
   "zh": "EVT 前置统计检验",
   "level": "l3"
  },
  "CAP_ed18e97a": {
   "en": "EVT Distribution Fitting",
   "zh": "EVT 分布拟合",
   "level": "l3"
  },
  "CAP_f184a988": {
   "en": "PWCET Inference",
   "zh": "概率 WCET 推断",
   "level": "l3"
  },
  "CAP_c706e98d": {
   "en": "Multicore Lifetime Analysis",
   "zh": "多核任务生命周期分析",
   "level": "l3"
  },
  "CAP_7d9f61cc": {
   "en": "Multicore Iterative Solving",
   "zh": "多核迭代求解",
   "level": "l3"
  },
  "CAP_fa7808fa": {
   "en": "Shared Cache Analysis",
   "zh": "共享 Cache 干扰分析",
   "level": "l3"
  },
  "CAP_37d01162": {
   "en": "Shared Cache Persistence",
   "zh": "共享 Cache 持久化分析",
   "level": "l3"
  },
  "CAP_6b4fb66e": {
   "en": "Weak-Supervised Segmentation",
   "zh": "弱监督分割",
   "level": "l2"
  },
  "CAP_8e7e02cf": {
   "en": "Image-Level Label Classification Training",
   "zh": "图像级标签分类网络训练",
   "level": "l3"
  },
  "CAP_2b917ea1": {
   "en": "CAM Extraction and Thresholding",
   "zh": "类激活图提取与阈值化",
   "level": "l3"
  },
  "CAP_a9ed6c25": {
   "en": "Pixel Affinity Network Training",
   "zh": "像素亲和网络训练",
   "level": "l3"
  },
  "CAP_23dac36e": {
   "en": "Random Walk Label Propagation",
   "zh": "随机游走标签传播",
   "level": "l3"
  },
  "CAP_87d49f5e": {
   "en": "Pseudo Mask Quality Evaluation",
   "zh": "伪掩码质量评估",
   "level": "l3"
  },
  "CAP_e99e7c2f": {
   "en": "DeepLab Segmentation Training",
   "zh": "DeepLab分割网络训练",
   "level": "l3"
  },
  "CAP_1d44d667": {
   "en": "Segmentation Inference and mIoU Evaluation",
   "zh": "分割推理与mIoU评估",
   "level": "l3"
  },
  "CAP_7f6a5777": {
   "en": "Box Annotation Dataset Preparation",
   "zh": "边界框标注数据集准备",
   "level": "l3"
  },
  "CAP_f0126972": {
   "en": "Anchor-Free Detector and Instance-Conditional Mask Head Init",
   "zh": "无锚框检测器与实例条件掩码头初始化",
   "level": "l3"
  },
  "CAP_f72408f6": {
   "en": "Box Boundary Constraint Loss",
   "zh": "边界框边界约束损失",
   "level": "l3"
  },
  "CAP_ac66c0dd": {
   "en": "End-to-End Box-Supervised Training",
   "zh": "端到端边界框监督训练",
   "level": "l3"
  },
  "CAP_f74a13ff": {
   "en": "End-to-End Inference and Mask AP Evaluation",
   "zh": "端到端推理与mask AP评估",
   "level": "l3"
  },
  "CAP_01682d4c": {
   "en": "CLIP Text-Driven CAM Generation",
   "zh": "CLIP文本驱动CAM生成",
   "level": "l3"
  },
  "CAP_8b887d97": {
   "en": "CAM Thresholding and Initial Pseudo Label",
   "zh": "CAM阈值化与初始伪标签",
   "level": "l3"
  },
  "CAP_d7a32c33": {
   "en": "CAM-SAM Mask Fusion",
   "zh": "CAM-SAM掩码融合",
   "level": "l3"
  },
  "CAP_76e90896": {
   "en": "Fusion Pseudo Label Quality Evaluation",
   "zh": "融合伪标签质量评估",
   "level": "l3"
  },
  "CAP_8be15b5b": {
   "en": "Adverse-Weather Multimodal Localization",
   "zh": "恶劣天气多模态定位",
   "level": "l2"
  },
  "CAP_9e33de08": {
   "en": "Fused Perception-to-Navigation Output",
   "zh": "融合感知导航输出",
   "level": "l3"
  },
  "CAP_69bb875d": {
   "en": "Lidar Weather Denoising for SLAM",
   "zh": "激光雷达天气去噪喂给SLAM",
   "level": "l2"
  },
  "CAP_d14a2987": {
   "en": "Lidar Raw Pointcloud Ingestion",
   "zh": "lidar原始点云接入",
   "level": "l3"
  },
  "CAP_e2b1de97": {
   "en": "Heuristic Weather Filtering",
   "zh": "启发式天气滤波",
   "level": "l3"
  },
  "CAP_489ade96": {
   "en": "Learning-Based Pointcloud Denoising",
   "zh": "学习型点云去噪",
   "level": "l3"
  },
  "CAP_631be6d5": {
   "en": "Denoised Pointcloud to SLAM Output",
   "zh": "去噪点云喂SLAM输出",
   "level": "l3"
  },
  "CAP_944b56c9": {
   "en": "Weather-Degraded Image Restoration for Visual Nav",
   "zh": "天气退化图像恢复喂给视觉导航",
   "level": "l2"
  },
  "CAP_c17a78ed": {
   "en": "Degraded Image Ingestion",
   "zh": "退化图像接入",
   "level": "l3"
  },
  "CAP_bbbba1a9": {
   "en": "Weather Degradation Type Discrimination",
   "zh": "天气退化类型判别",
   "level": "l3"
  },
  "CAP_3750d7f2": {
   "en": "Transformer-Based Image Restoration",
   "zh": "transformer图像复原",
   "level": "l3"
  },
  "CAP_35ccee85": {
   "en": "Restored Image to Visual Navigation Output",
   "zh": "复原图像喂视觉导航输出",
   "level": "l3"
  },
  "CAP_94c2c02c": {
   "en": "Innovation-Driven Adaptive Reweighting",
   "zh": "创新驱动自适应重加权",
   "level": "l2"
  },
  "CAP_9f628be8": {
   "en": "Reputation-Trust Weighted Consensus",
   "zh": "信誉信任驱动加权一致性",
   "level": "l2"
  },
  "CAP_216eb666": {
   "en": "Innovation Statistics Exchange",
   "zh": "创新统计交换",
   "level": "l3"
  },
  "CAP_47888587": {
   "en": "Innovation-Based Quality Scoring",
   "zh": "创新驱动质量评分",
   "level": "l3"
  },
  "CAP_5aa84b4e": {
   "en": "Adaptive Consensus Weight Recomputation",
   "zh": "自适应一致性权重重计算",
   "level": "l3"
  },
  "CAP_8b6d6a03": {
   "en": "Adaptive Weighted Consensus Update",
   "zh": "自适应加权一致性更新",
   "level": "l3"
  },
  "CAP_260a6042": {
   "en": "Neighbor Estimate Collection",
   "zh": "邻居估计收集",
   "level": "l3"
  },
  "CAP_fe2ece98": {
   "en": "Consistency-Based Interaction Evaluation",
   "zh": "一致性偏差交互判定",
   "level": "l3"
  },
  "CAP_5b2378ac": {
   "en": "Beta Reputation Update",
   "zh": "Beta 信誉更新",
   "level": "l3"
  },
  "CAP_af360aa2": {
   "en": "Reputation-to-Weight Mapping",
   "zh": "信誉到权重映射",
   "level": "l3"
  },
  "CAP_47dde26d": {
   "en": "Trust-Weighted Consensus Fusion",
   "zh": "信任加权一致性融合",
   "level": "l3"
  },
  "CAP_978c8397": {
   "en": "Steering-based Wheel Odometry Pipeline",
   "zh": "转向驱动轮式里程计流水线",
   "level": "l2"
  },
  "CAP_da3cceca": {
   "en": "Mecanum Wheel Odometry Pipeline",
   "zh": "Mecanum 全向轮里程计流水线",
   "level": "l2"
  },
  "CAP_1de981bc": {
   "en": "Pose Numerical Integration with Frame Transform",
   "zh": "含坐标变换的位姿数值积分",
   "level": "l3"
  },
  "CAP_0ef119b2": {
   "en": "Pose Numerical Integration",
   "zh": "位姿数值积分",
   "level": "l3"
  },
  "CAP_dabcdfdb": {
   "en": "Kinematic Forward Odometry Integration",
   "zh": "运动学正向里程计积分",
   "level": "l2"
  },
  "CAP_7d4042c4": {
   "en": "EKF UKF Sensor Fused Odometry",
   "zh": "EKF UKF 多源融合里程计",
   "level": "l2"
  },
  "CAP_c6ff980e": {
   "en": "Motor State Feedback Publishing",
   "zh": "电机状态反馈发布",
   "level": "l3"
  },
  "CAP_73724cdf": {
   "en": "Slip Residual Computation",
   "zh": "滑移残差计算",
   "level": "l3"
  },
  "CAP_50cfa6ca": {
   "en": "Threshold with Hysteresis for Slip Detection",
   "zh": "滑移判定阈值与迟滞回线",
   "level": "l3"
  },
  "CAP_c217d445": {
   "en": "Slip Ratio and Confidence Computation",
   "zh": "滑移率与置信度计算",
   "level": "l3"
  },
  "CAP_a938da52": {
   "en": "Slip Signal Publishing",
   "zh": "滑移信号发布",
   "level": "l3"
  },
  "CAP_fe5d6939": {
   "en": "Exteroceptive Velocity Integration",
   "zh": "外感受性速度源集成",
   "level": "l3"
  },
  "CAP_26a2f4bd": {
   "en": "Tire Model Selection and Calibration",
   "zh": "轮胎模型选型与参数辨识",
   "level": "l3"
  },
  "CAP_f177cfcc": {
   "en": "State Observer Design for Wheel Slip",
   "zh": "轮子滑移状态观测器设计",
   "level": "l3"
  },
  "CAP_b8da86b8": {
   "en": "Model Based Wheel Velocity Prediction",
   "zh": "基于动力学模型的轮速预测",
   "level": "l3"
  },
  "CAP_e0b530e9": {
   "en": "Residual Based Slip Indicator",
   "zh": "残差滑移指标构造",
   "level": "l3"
  },
  "CAP_051f9f7b": {
   "en": "Threshold and Hysteresis for Dynamic Model Slip",
   "zh": "动力学模型滑移判定阈值与迟滞",
   "level": "l3"
  },
  "CAP_b6334663": {
   "en": "Terrain Aware Threshold Adaptation",
   "zh": "地形自适应阈值",
   "level": "l3"
  },
  "CAP_4cf9ff2c": {
   "en": "Classifier Fusion with Ward 2007",
   "zh": "Ward 2007 分类器融合",
   "level": "l3"
  },
  "CAP_6440bd57": {
   "en": "Model Mismatch Detection",
   "zh": "模型失配检测",
   "level": "l3"
  },
  "CAP_55206e78": {
   "en": "Per Wheel Slip Signal Publishing",
   "zh": "Per-Wheel 滑移信号发布",
   "level": "l3"
  },
  "CAP_bc90af1f": {
   "en": "INS Mechanization with Kinematic Constraint",
   "zh": "INS 力学编排与运动学约束",
   "level": "l3"
  },
  "CAP_7a9d87bf": {
   "en": "Slip Residual Compute Wheel vs Chassis",
   "zh": "wheel-vs-chassis 滑移残差计算",
   "level": "l3"
  },
  "CAP_e2a431b9": {
   "en": "Threshold with Hysteresis for Wheel IMU Slip",
   "zh": "轮装 IMU 滑移判定阈值与迟滞",
   "level": "l3"
  },
  "CAP_c92d7359": {
   "en": "Slip Ratio and Confidence for Wheel IMU",
   "zh": "轮装 IMU 滑移率与置信度",
   "level": "l3"
  },
  "CAP_97c477fe": {
   "en": "Slip Signal Publishing with IMU Health",
   "zh": "滑移信号与 IMU 健康发布",
   "level": "l3"
  },
  "CAP_72a8e29e": {
   "en": "Wheel IMU Health Monitoring",
   "zh": "轮装 IMU 健康监测",
   "level": "l3"
  },
  "CAP_0d81ce4d": {
   "en": "WBC-VelQP Velocity-Level Whole-Body Control",
   "zh": "WBC-VelQP速度级全身控制",
   "level": "l2"
  },
  "CAP_7cbf3c94": {
   "en": "Whole-Body Jacobian Assembly and Task Velocity Computation",
   "zh": "全身雅可比组装与任务速度计算",
   "level": "l3"
  },
  "CAP_a3e6ba91": {
   "en": "Skeleton Based Whole Body Gesture Recognition",
   "zh": "骨架图卷积全身手势识别",
   "level": "l2"
  },
  "CAP_66d37f2d": {
   "en": "RGB Spatiotemporal Whole Body Gesture Recognition",
   "zh": "RGB时空网络全身手势识别",
   "level": "l2"
  },
  "CAP_a73c2c21": {
   "en": "On Device Realtime Gesture Recognition",
   "zh": "端侧实时手势识别",
   "level": "l2"
  },
  "CAP_d26f73e6": {
   "en": "Holistic Keypoint Extraction",
   "zh": "Holistic关键点抽取",
   "level": "l3"
  },
  "CAP_1db3078b": {
   "en": "Lightweight Temporal Classifier Inference",
   "zh": "轻量时序分类器推理",
   "level": "l3"
  },
  "CAP_193230a9": {
   "en": "Real-time Performance Monitoring",
   "zh": "实时性能监控",
   "level": "l3"
  },
  "CAP_fd8f0dfe": {
   "en": "Floating-Base Multibody Dynamics Modeling",
   "zh": "浮动基座多体动力学建模",
   "level": "l3"
  },
  "CAP_5c604b6b": {
   "en": "Whole-Body OCP Problem Assembly",
   "zh": "全身最优控制问题装配",
   "level": "l3"
  },
  "CAP_7bbd6fd9": {
   "en": "Whole-Body Trajectory Feedback Gain Extraction",
   "zh": "全身轨迹反馈增益提取",
   "level": "l3"
  },
  "CAP_2e2fdadd": {
   "en": "Kinematic Whole-Body Mobile Manipulator Model Construction",
   "zh": "全身移动机械臂运动学建模",
   "level": "l3"
  },
  "CAP_ecb397d8": {
   "en": "Switched-System Mode Schedule Management",
   "zh": "切换系统模式调度管理",
   "level": "l3"
  },
  "CAP_8b943cca": {
   "en": "MPC-MRT Asynchronous Loop Interface",
   "zh": "MPC-MRT 异步循环接口",
   "level": "l3"
  },
  "CAP_01a9bec7": {
   "en": "Constraint Penalty Handling via Augmented Lagrangian",
   "zh": "增广拉格朗日约束处理",
   "level": "l3"
  },
  "CAP_b89c66d2": {
   "en": "Receding-Horizon MPC State Observation",
   "zh": "滚动时域 MPC 状态观测",
   "level": "l3"
  },
  "CAP_c70a19d2": {
   "en": "Receding-Horizon OCP Solving",
   "zh": "滚动时域 OCP 求解",
   "level": "l3"
  },
  "CAP_0eaa2378": {
   "en": "MPC-to-WBC Command Execution",
   "zh": "MPC 到 WBC 命令执行交接",
   "level": "l3"
  },
  "CAP_0cd76f9e": {
   "en": "Topology-Aware Kinematics",
   "zh": "拓扑感知运动学",
   "level": "l3"
  },
  "CAP_1bdc8043": {
   "en": "GPU-Native Depth-Fused ESDF Perception",
   "zh": "GPU 原生深度融合 ESDF 感知",
   "level": "l3"
  },
  "CAP_070e0cb2": {
   "en": "Parallel Collision-Free Inverse Kinematics",
   "zh": "并行无碰撞逆运动学",
   "level": "l3"
  },
  "CAP_787afd0c": {
   "en": "Map-Reduce Self-Collision Checking",
   "zh": "Map-Reduce 自碰撞检查",
   "level": "l3"
  },
  "CAP_b6962b87": {
   "en": "Differentiable Inverse Dynamics",
   "zh": "可微逆动力学",
   "level": "l3"
  },
  "CAP_986b97c4": {
   "en": "GPU Parallel Scene and World Model Assembly",
   "zh": "GPU 并行场景与世界模型装配",
   "level": "l3"
  },
  "CAP_7c2a5b1d": {
   "en": "Crowdsourced Radio Map Construction",
   "zh": "众包无线电地图构建",
   "level": "l2"
  },
  "CAP_91a559c9": {
   "en": "Reference Point Survey Planning",
   "zh": "参考点采集规划",
   "level": "l3"
  },
  "CAP_15cd6dd2": {
   "en": "Radio Map Quality Assurance",
   "zh": "无线电地图质量保证",
   "level": "l3"
  },
  "CAP_ec98537b": {
   "en": "Online RSS Observation",
   "zh": "在线RSS观测",
   "level": "l3"
  },
  "CAP_28ad3b85": {
   "en": "Fingerprint Vector Alignment",
   "zh": "指纹向量对齐",
   "level": "l3"
  },
  "CAP_35a276c0": {
   "en": "Random Forest Fingerprint Matching",
   "zh": "随机森林指纹匹配",
   "level": "l3"
  },
  "CAP_6b844de2": {
   "en": "Fingerprint Position Estimate",
   "zh": "指纹位置估计",
   "level": "l3"
  },
  "CAP_59082739": {
   "en": "Positioning Error Quantification",
   "zh": "定位误差量化",
   "level": "l3"
  },
  "CAP_93254e89": {
   "en": "Stacked Autoencoder Pretraining",
   "zh": "堆叠自编码器预训练",
   "level": "l3"
  },
  "CAP_66ff8679": {
   "en": "Multi-label Classification Training",
   "zh": "多标签分类训练",
   "level": "l3"
  },
  "CAP_86c6f290": {
   "en": "Coordinate Regression Training",
   "zh": "坐标回归训练",
   "level": "l3"
  },
  "CAP_3a2ed0bf": {
   "en": "DNN Model Inference",
   "zh": "DNN 模型推理",
   "level": "l3"
  },
  "CAP_9022881d": {
   "en": "CSI Tool Driver Setup",
   "zh": "CSI 工具驱动配置",
   "level": "l3"
  },
  "CAP_cccb2871": {
   "en": "Per-packet CSI Extraction",
   "zh": "逐包 CSI 提取",
   "level": "l3"
  },
  "CAP_4fd25847": {
   "en": "CSI Preprocessing and Phase Calibration",
   "zh": "CSI预处理与相位校准",
   "level": "l3"
  },
  "CAP_bccfa4f0": {
   "en": "CSI DL Model Training",
   "zh": "CSI 深度学习模型训练",
   "level": "l3"
  },
  "CAP_eded74c3": {
   "en": "CSI DL Model Inference",
   "zh": "CSI 深度学习模型推理",
   "level": "l3"
  },
  "CAP_db09550e": {
   "en": "Multi-sensor Synchronized Capture",
   "zh": "多传感器同步采集",
   "level": "l3"
  },
  "CAP_858b3167": {
   "en": "Fingerprint Auto-labeling",
   "zh": "指纹自动位置标注",
   "level": "l3"
  },
  "CAP_da499684": {
   "en": "Crowdsourced Radio Map Update",
   "zh": "众包无线电地图增量更新",
   "level": "l3"
  },
  "CAP_154e7936": {
   "en": "Deep Neural Network Fingerprint Inference",
   "zh": "深度神经网络指纹推断",
   "level": "l3"
  },
  "CAP_9072ceae": {
   "en": "CSI-Based WiFi Localization",
   "zh": "CSI高分辨WiFi定位",
   "level": "l3"
  },
  "CAP_e7bfbbd7": {
   "en": "Matching Algorithm Selection",
   "zh": "匹配算法选择",
   "level": "l3"
  },
  "CAP_5a039442": {
   "en": "Probabilistic Maximum Likelihood Matching",
   "zh": "概率最大似然指纹匹配",
   "level": "l3"
  },
  "CAP_c32ed87e": {
   "en": "Position Estimate Fusion",
   "zh": "位置估计融合",
   "level": "l3"
  },
  "CAP_f18f4a3c": {
   "en": "Coordinate Output and Floor Detection",
   "zh": "坐标输出与楼层判定",
   "level": "l3"
  },
  "CAP_88eb4576": {
   "en": "CSI Utilization Path Selection",
   "zh": "CSI利用路径选择",
   "level": "l3"
  },
  "CAP_65ed34b0": {
   "en": "MUSIC Super-Resolution AoA ToF Estimation",
   "zh": "MUSIC超分辨AoA/ToF估计",
   "level": "l3"
  },
  "CAP_28293582": {
   "en": "CSI Fingerprint Deep Learning Inference",
   "zh": "CSI指纹深度学习推断",
   "level": "l3"
  },
  "CAP_49dd3da6": {
   "en": "Parameter Estimate Fusion",
   "zh": "参数估计融合",
   "level": "l3"
  },
  "CAP_cf6996a7": {
   "en": "Multipath Direct Path Identification",
   "zh": "多径直射路径识别",
   "level": "l3"
  },
  "CAP_f66c22ba": {
   "en": "Localization Solver Selection",
   "zh": "定位解算路径选择",
   "level": "l3"
  },
  "CAP_11848a53": {
   "en": "Single-AP Chronos-style Inverse Solver",
   "zh": "单AP反演解算",
   "level": "l3"
  },
  "CAP_088e3474": {
   "en": "Multi-AP Triangulation Solver",
   "zh": "多AP三角解算",
   "level": "l3"
  },
  "CAP_65462420": {
   "en": "CSI Localization Coordinate Output",
   "zh": "CSI定位坐标输出",
   "level": "l3"
  },
  "CAP_5be67ca7": {
   "en": "FTM Round-Trip Time Positioning",
   "zh": "FTM飞行时间定位",
   "level": "l2"
  },
  "CAP_57ebdf10": {
   "en": "FTM Responder Discovery",
   "zh": "FTM响应者发现",
   "level": "l3"
  },
  "CAP_7cabbb96": {
   "en": "FTM Session Initiation",
   "zh": "FTM会话发起",
   "level": "l3"
  },
  "CAP_1f128c39": {
   "en": "Burst Ranging Measurement",
   "zh": "Burst测距采集",
   "level": "l3"
  },
  "CAP_38c7e1b6": {
   "en": "Multi-AP Ranging Aggregation",
   "zh": "多AP测距聚合",
   "level": "l3"
  },
  "CAP_b9ba3239": {
   "en": "Ranging Outlier Rejection",
   "zh": "测距异常剔除",
   "level": "l3"
  },
  "CAP_8455e711": {
   "en": "FTM Trilateration Solver",
   "zh": "FTM三边定位解算",
   "level": "l3"
  },
  "CAP_9b65f795": {
   "en": "FTM Position Confidence Output",
   "zh": "FTM位置置信度输出",
   "level": "l3"
  },
  "CAP_d39739dc": {
   "en": "FTM Floor Resolution and Validation",
   "zh": "FTM楼层判定与精度验证",
   "level": "l3"
  },
  "CAP_4df085a4": {
   "en": "Wind-Rejecting Closed-Loop Tracking",
   "zh": "抗风闭环跟踪",
   "level": "l2"
  },
  "CAP_179dfe35": {
   "en": "Incremental Dynamic Inversion Control",
   "zh": "增量动态逆控制",
   "level": "l2"
  },
  "CAP_85ebd22c": {
   "en": "Measurement-Based Disturbance Rejection",
   "zh": "测量反馈型扰动抑制",
   "level": "l2"
  },
  "CAP_f9829e5e": {
   "en": "PX4 Setpoint Interface and Flight Execution",
   "zh": "PX4 Setpoint 接口与飞行执行",
   "level": "l3"
  },
  "CAP_742bdcf3": {
   "en": "Wiping & Scrubbing",
   "zh": "擦拭与刷洗",
   "level": "l2"
  },
  "CAP_32467ab4": {
   "en": "Wiping Tool and Force Goal Configuration",
   "zh": "擦拭工具与目标力配置",
   "level": "l3"
  },
  "CAP_6b45c7f3": {
   "en": "Visual Stain Detection Calibration",
   "zh": "视觉污渍检测标定",
   "level": "l3"
  },
  "CAP_68c0da4f": {
   "en": "Visual Stain Dirt Detection",
   "zh": "视觉污渍检测",
   "level": "l3"
  },
  "CAP_01e764c2": {
   "en": "Dirty Region Trajectory Replanning",
   "zh": "污渍区域轨迹重规划",
   "level": "l3"
  },
  "CAP_5a77fc89": {
   "en": "Cleanliness Convergence Check",
   "zh": "清洁度收敛判据",
   "level": "l3"
  },
  "CAP_5a180fc6": {
   "en": "Repeat on Dirty Region Decision",
   "zh": "污渍残留重复处理决策",
   "level": "l3"
  },
  "CAP_305a35bc": {
   "en": "Teleop Demonstration Collection",
   "zh": "遥操作示教采集",
   "level": "l3"
  },
  "CAP_74eaef50": {
   "en": "Layout and Scenario Binding",
   "zh": "布局与场景绑定",
   "level": "l3"
  },
  "CAP_fea4574e": {
   "en": "End-to-End KPI Extraction",
   "zh": "端到端KPI提取",
   "level": "l3"
  },
  "CAP_a63b4c09": {
   "en": "Workflow Execution Monitoring",
   "zh": "工作流执行监控",
   "level": "l2"
  },
  "CAP_77bd1565": {
   "en": "Execution Visualization",
   "zh": "执行网格与甘特图可视化",
   "level": "l3"
  },
  "CAP_20728d9e": {
   "en": "CRD Status Observation",
   "zh": "工作流 CRD 状态观测",
   "level": "l3"
  },
  "CAP_a71ad659": {
   "en": "Pod Status Monitoring",
   "zh": "Pod 状态与容器监控",
   "level": "l3"
  },
  "CAP_e8e1a5da": {
   "en": "Workflow Archive Query",
   "zh": "工作流归档与历史查询",
   "level": "l3"
  },
  "CAP_ae17827e": {
   "en": "Controller Metrics Exposure",
   "zh": "Prometheus 指标导出",
   "level": "l3"
  },
  "CAP_c9825aa9": {
   "en": "Workflow Parallel Execution",
   "zh": "工作流并行执行",
   "level": "l2"
  },
  "CAP_36bbb013": {
   "en": "Concurrency Pool Configuration",
   "zh": "并发资源池配置",
   "level": "l3"
  },
  "CAP_d54fa835": {
   "en": "Parallelism Limit Configuration",
   "zh": "并发上限与优先级权重配置",
   "level": "l3"
  },
  "CAP_1838392d": {
   "en": "Ready Task Scheduling Loop",
   "zh": "ready 任务调度主循环",
   "level": "l3"
  },
  "CAP_5b0b19f3": {
   "en": "Critical Section Concurrency Arbitration",
   "zh": "临界区并发限流裁决",
   "level": "l3"
  },
  "CAP_2c5549d2": {
   "en": "Worker Pool Concurrent Execution",
   "zh": "工作池并发执行",
   "level": "l3"
  },
  "CAP_868e166c": {
   "en": "Task State Heartbeat Sync",
   "zh": "任务状态心跳同步",
   "level": "l3"
  },
  "CAP_afd962a0": {
   "en": "Fan-in Synchronization Barrier",
   "zh": "扇入同步等待栅栏",
   "level": "l3"
  },
  "CAP_2a6c8340": {
   "en": "Downstream Task Wakeup",
   "zh": "下游任务 ready 唤醒",
   "level": "l3"
  },
  "CAP_74656334": {
   "en": "Scatter Construct Identification",
   "zh": "scatter 构造语法识别",
   "level": "l3"
  },
  "CAP_61cfa63d": {
   "en": "Scatter Data Cardinality Resolution",
   "zh": "scatter 数据基数计算",
   "level": "l3"
  },
  "CAP_795c6d0a": {
   "en": "Scatter Task Instantiation",
   "zh": "scatter 子任务实例化",
   "level": "l3"
  },
  "CAP_357f2106": {
   "en": "Scatter Subtask Dispatch",
   "zh": "scatter 子任务派发",
   "level": "l3"
  },
  "CAP_3b7e8150": {
   "en": "Scatter Parallel Execution",
   "zh": "scatter 并行执行",
   "level": "l3"
  },
  "CAP_40363935": {
   "en": "Gather Result Collection",
   "zh": "gather 结果收集",
   "level": "l3"
  },
  "CAP_7cc2667a": {
   "en": "Gather Aggregation",
   "zh": "gather 结果聚合",
   "level": "l3"
  },
  "CAP_09d17015": {
   "en": "Upstream Task Execution",
   "zh": "上游任务执行",
   "level": "l3"
  },
  "CAP_51ac0a16": {
   "en": "Upstream Output Collection Resolution",
   "zh": "上游输出数据集合解析",
   "level": "l3"
  },
  "CAP_8a29895a": {
   "en": "Runtime Cardinality Resolution",
   "zh": "运行时基数计算",
   "level": "l3"
  },
  "CAP_62b55598": {
   "en": "Dynamic DAG Expansion",
   "zh": "DAG 动态扩展",
   "level": "l3"
  },
  "CAP_88f1b98e": {
   "en": "Mapped Task Dispatch",
   "zh": "mapped 任务派发",
   "level": "l3"
  },
  "CAP_196da1e6": {
   "en": "Mapped Task Concurrent Execution",
   "zh": "mapped 任务并发执行",
   "level": "l3"
  },
  "CAP_03e06721": {
   "en": "Mapped Result Collection",
   "zh": "mapped 结果收集",
   "level": "l3"
  },
  "CAP_c87a3f07": {
   "en": "Git Bundle DAG Versioning",
   "zh": "Git捆绑包DAG版本管理",
   "level": "l3"
  },
  "CAP_6d06721c": {
   "en": "Metadata Registry Definition Versioning",
   "zh": "元数据注册表定义版本管理",
   "level": "l3"
  },
  "CAP_a093889e": {
   "en": "Workflow Change Tracking Audit",
   "zh": "工作流变更追踪审计",
   "level": "l3"
  },
  "CAP_250d99a5": {
   "en": "In-Context Memory Operations",
   "zh": "上下文内记忆操作",
   "level": "l3"
  },
  "CAP_240bd778": {
   "en": "Memory Page-Out (Eviction)",
   "zh": "记忆逐出（外存迁移）",
   "level": "l3"
  },
  "CAP_92981836": {
   "en": "Memory Page-In (Retrieval)",
   "zh": "记忆回填检索",
   "level": "l3"
  },
  "CAP_b9eb9d56": {
   "en": "Summary Buffer Memory Management",
   "zh": "滑窗摘要缓冲记忆管理",
   "level": "l2"
  },
  "CAP_c14ced58": {
   "en": "Token Budget Telemetry",
   "zh": "Token 预算遥测",
   "level": "l3"
  },
  "CAP_01842085": {
   "en": "Message Buffer Append",
   "zh": "消息缓冲入队",
   "level": "l3"
  },
  "CAP_931a67fc": {
   "en": "Buffer Overflow Detection",
   "zh": "缓冲溢出检测",
   "level": "l3"
  },
  "CAP_151409c7": {
   "en": "Conversation Summary Compression",
   "zh": "对话递归摘要压缩",
   "level": "l3"
  },
  "CAP_5e1b7e1e": {
   "en": "Prompt State Assembly",
   "zh": "上下文状态组装",
   "level": "l3"
  },
  "CAP_dbf6ae96": {
   "en": "Prompt Segmentation & Budget Allocation",
   "zh": "Prompt 分段与预算分配",
   "level": "l3"
  },
  "CAP_d874fd75": {
   "en": "Small Model Perplexity Evaluation",
   "zh": "小模型困惑度评估",
   "level": "l3"
  },
  "CAP_61fa8d40": {
   "en": "Iterative Token-Level Compression",
   "zh": "迭代 Token 级压缩",
   "level": "l3"
  },
  "CAP_289a763b": {
   "en": "Force Token Preservation & Context Reorder",
   "zh": "强制 Token 保留与上下文重排序",
   "level": "l3"
  },
  "CAP_b177c2de": {
   "en": "Compressed Prompt Output",
   "zh": "压缩 Prompt 输出",
   "level": "l3"
  },
  "CAP_67e30eab": {
   "en": "Object-Centric Temporal Memory",
   "zh": "对象中心时序记忆",
   "level": "l2"
  },
  "CAP_00c5d59e": {
   "en": "Frame Query Initialization",
   "zh": "帧 Query 初始化与继承",
   "level": "l3"
  },
  "CAP_76dceb37": {
   "en": "Spatial Feature Aggregation",
   "zh": "空间特征聚合",
   "level": "l3"
  },
  "CAP_8494f5a5": {
   "en": "Motion-Aware Query Propagation",
   "zh": "运动感知 Query 传播",
   "level": "l3"
  },
  "CAP_dbb7c642": {
   "en": "Memory Queue Update",
   "zh": "记忆队列更新与输出",
   "level": "l3"
  },
  "CAP_42116012": {
   "en": "Cognitive State Sensing",
   "zh": "认知状态感知",
   "level": "l2"
  },
  "CAP_1b348a5b": {
   "en": "Multimodal Feedback Rendering",
   "zh": "多模态反馈渲染",
   "level": "l2"
  },
  "CAP_378ad808": {
   "en": "fNIRS Signal Acquisition",
   "zh": "fNIRS 信号采集",
   "level": "l3"
  },
  "CAP_b032d663": {
   "en": "Behavioral Context Fusion",
   "zh": "行为上下文融合",
   "level": "l3"
  },
  "CAP_0fccb67b": {
   "en": "Visual Feedback Rendering",
   "zh": "视觉反馈渲染",
   "level": "l3"
  },
  "CAP_e51895da": {
   "en": "Auditory Feedback Rendering",
   "zh": "听觉反馈渲染",
   "level": "l3"
  },
  "CAP_d9ba5519": {
   "en": "Textual Feedback Rendering",
   "zh": "文本反馈渲染",
   "level": "l3"
  },
  "CAP_4ea7fef7": {
   "en": "Sensor Reliability Evaluation",
   "zh": "传感器可靠性评估计算",
   "level": "l3"
  },
  "CAP_0c722305": {
   "en": "Sensor Discrepancy Detection",
   "zh": "传感器偏差检测",
   "level": "l3"
  },
  "CAP_40a6c35d": {
   "en": "Sensor Status Visualization",
   "zh": "传感器状态可视化",
   "level": "l3"
  },
  "CAP_cd06d22a": {
   "en": "Human Position Sensing in Safety Zone",
   "zh": "安全区域人员位置感知",
   "level": "l3"
  },
  "CAP_ac25ca44": {
   "en": "Safety Zone Intrusion Detection and Tiered Trigger",
   "zh": "安全区域入侵判定与分级触发",
   "level": "l3"
  },
  "CAP_5b85ffae": {
   "en": "Graded Speed Limit Command Dispatch",
   "zh": "分级速度限制指令下发",
   "level": "l3"
  },
  "CAP_79a48ea9": {
   "en": "Safety Recovery and Re-enable",
   "zh": "安全恢复与重新使能",
   "level": "l3"
  },
  "CAP_6bec06bb": {
   "en": "Control-Affine Dynamics Modeling for CBF",
   "zh": "CBF控制仿射动力学建模",
   "level": "l3"
  },
  "CAP_23c1594a": {
   "en": "CBF Inequality Construction with Class-κ Function",
   "zh": "CBF不等式构造与类κ函数选择",
   "level": "l3"
  },
  "CAP_9c0a2827": {
   "en": "CBF-QP Infeasibility Handling with Slack",
   "zh": "CBF-QP不可行松弛与降级",
   "level": "l3"
  },
  "CAP_07a61306": {
   "en": "CBF Safety Recovery and Constraint Update",
   "zh": "CBF安全恢复与约束更新",
   "level": "l3"
  },
  "CAP_15741059": {
   "en": "Impedance Execution and Force Monitoring",
   "zh": "阻抗执行与力监测",
   "level": "l2"
  },
  "CAP_775a6924": {
   "en": "Damping Schedule Design for Variable Impedance",
   "zh": "变阻抗阻尼调度设计",
   "level": "l3"
  },
  "CAP_cdf7cd86": {
   "en": "Real-time TCP Pose Acquisition via Forward Kinematics",
   "zh": "实时正运动学TCP位姿获取",
   "level": "l3"
  },
  "CAP_15c346eb": {
   "en": "Human Position Sensing for Impedance Scheduling",
   "zh": "变阻抗人体位置感知",
   "level": "l3"
  },
  "CAP_081d47cb": {
   "en": "Impedance Recovery and Smooth Transition",
   "zh": "阻抗恢复与平滑过渡",
   "level": "l3"
  },
  "CAP_88a43660": {
   "en": "Workspace Occupancy Map Construction",
   "zh": "工作空间占用地图构建",
   "level": "l2"
  },
  "CAP_491c372d": {
   "en": "Observation Source Configuration",
   "zh": "观测源配置",
   "level": "l3"
  },
  "CAP_9192ec4a": {
   "en": "Sensor Data Transformation",
   "zh": "传感器数据变换",
   "level": "l3"
  },
  "CAP_626f6de2": {
   "en": "Costmap Combination and Publishing",
   "zh": "代价地图合并与发布",
   "level": "l3"
  },
  "CAP_042f0579": {
   "en": "Workspace-Fixed Occupancy Grid Definition",
   "zh": "工作空间固定占用栅格定义",
   "level": "l3"
  },
  "CAP_32587936": {
   "en": "Overhead Camera Extrinsic Calibration",
   "zh": "顶置相机外参标定",
   "level": "l3"
  },
  "CAP_765b38d2": {
   "en": "Inverse Perspective Mapping Projection",
   "zh": "逆透视变换投影",
   "level": "l3"
  },
  "CAP_c37ba50d": {
   "en": "Multi-Camera Occupancy Fusion",
   "zh": "多相机占用融合",
   "level": "l3"
  },
  "CAP_93a7e047": {
   "en": "Workspace Occupancy Map Publishing",
   "zh": "工作空间占用地图发布",
   "level": "l3"
  },
  "CAP_fddacaf6": {
   "en": "LIPM Cart-Table Modeling",
   "zh": "LIPM 小车台车建模",
   "level": "l3"
  },
  "CAP_55e6fee1": {
   "en": "Preview LQR Gain Computation",
   "zh": "预观 LQR 增益求解",
   "level": "l3"
  },
  "CAP_40c4ef2c": {
   "en": "ZMP MPC Optimization Pipeline",
   "zh": "ZMP 约束 MPC 优化管线",
   "level": "l2"
  },
  "CAP_7aeff11c": {
   "en": "LIPM ZMP Constraint Formulation",
   "zh": "LIPM ZMP 约束构造",
   "level": "l3"
  },
  "CAP_9f044be9": {
   "en": "MPC QP Solving",
   "zh": "MPC QP 求解",
   "level": "l3"
  },
  "CAP_7d512d8d": {
   "en": "LIPM Prediction Model",
   "zh": "LIPM 预测模型构造",
   "level": "l3"
  },
  "CAP_8b409d45": {
   "en": "Semantic-Embedding-Aligned Two-Stage Zero-Shot Detection",
   "zh": "语义嵌入对齐两阶段零样本检测",
   "level": "l2"
  },
  "CAP_641b1cc6": {
   "en": "Seen-Class Detector Training",
   "zh": "已见类检测器训练",
   "level": "l3"
  },
  "CAP_f8c23d9b": {
   "en": "Semantic Embedding Construction",
   "zh": "语义嵌入构造",
   "level": "l3"
  },
  "CAP_b3a06d97": {
   "en": "Visual Semantic Alignment Head",
   "zh": "视觉语义对齐头",
   "level": "l3"
  },
  "CAP_a60bfafa": {
   "en": "Polarity/Meta-Class Loss Optimization",
   "zh": "极性/元类损失优化",
   "level": "l3"
  },
  "CAP_921d3cd2": {
   "en": "Embedding Space Zero Shot Classification",
   "zh": "嵌入空间零样本分类",
   "level": "l3"
  },
  "CAP_4a968489": {
   "en": "Generative Feature Synthesis ZSD",
   "zh": "生成式特征合成零样本检测",
   "level": "l2"
  },
  "CAP_9ff1fbfb": {
   "en": "Seen-Class Feature Pool Preparation",
   "zh": "已见类特征池准备",
   "level": "l3"
  },
  "CAP_884cdcd9": {
   "en": "Class-Conditional Generator Training",
   "zh": "类条件生成器训练",
   "level": "l3"
  },
  "CAP_4195bf8e": {
   "en": "Unseen Feature Synthesis",
   "zh": "未见类特征合成",
   "level": "l3"
  },
  "CAP_d2df28e6": {
   "en": "Synthesis-Driven Zero-Shot Inference",
   "zh": "合成驱动的零样本推理",
   "level": "l3"
  },
  "CAP_7cd7cc87": {
   "en": "YOLO Head Semantic Embedding Modification",
   "zh": "YOLO 检测头语义嵌入改造",
   "level": "l3"
  },
  "CAP_1fbad3cf": {
   "en": "Self-Labeling Augmentation",
   "zh": "自标注数据增强",
   "level": "l3"
  },
  "CAP_4a0bafeb": {
   "en": "Open Vocabulary Modular Grasp Pipeline",
   "zh": "开放词表模块化抓取管线",
   "level": "l2"
  },
  "CAP_dcfec99c": {
   "en": "Depth Based Grasp Refinement",
   "zh": "深度几何抓取精修",
   "level": "l3"
  }
 }
}