{ "count": 43, "updated": "2026-08-05T05:22:37.719021Z", "data": [ { "id": "DATA-001", "name": "ALOHA (LeRobot)", "name_en": "ALOHA (LeRobot)", "type": "teleoperation", "subcategory": "teleoperation", "manufacturer": "Stanford University", "data_modalities": [ "vision", "proprioception" ], "precision": "50Hz control, Dynamixel encoders", "interfaces": [ "ROS", "Dynamixel SDK", "Python API" ], "price_range": "3000-4000", "open_source": true, "applications": [ "data_collection", "imitation_learning", "vla_training" ], "description": "A low-cost, open-source bimanual teleoperation system for robotic data collection. Developed by Stanford and integrated into the LeRobot framework, it uses Dynamixel servos to enable high-quality demonstration data collection for imitation learning and Vision-Language-Action (VLA) model training.", "category": "data_acquisition", "verified": true, "data_quality": "ok", "quarantine": false, "source": "官方页面：https://tonyzhaozh.github.io/aloha/", "source_tier": "A", "source_url": "https://tonyzhaozh.github.io/aloha/", "confidence": 0.88, "confidence_basis": "official_url_verified", "verification_note": "HTTP 200，页面文本命中实体名", "last_verified": "2026-08-05", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-002", "name": "UMI (Universal Manipulation Interface)", "name_en": "UMI (Universal Manipulation Interface)", "type": "teleoperation", "subcategory": "teleoperation", "manufacturer": "Stanford University", "data_modalities": [ "vision", "pose" ], "precision": "ArUco 1-3mm, redirect 2-5mm", "interfaces": [ "Python API", "SLAM" ], "price_range": "800", "open_source": true, "applications": [ "data_collection", "imitation_learning" ], "description": "A portable, low-cost handheld data collection interface that converts human manipulation into robot demonstrations. Uses SLAM and ArUco markers for precise 6-DoF pose tracking without requiring a robot, enabling in-the-wild demonstration collection for imitation learning.", "category": "data_acquisition", "verified": true, "data_quality": "ok", "quarantine": false, "source": "官方页面：https://umi-gripper.github.io/", "source_tier": "A", "source_url": "https://umi-gripper.github.io/", "confidence": 0.88, "confidence_basis": "official_url_verified", "verification_note": "HTTP 200，页面文本命中实体名", "last_verified": "2026-08-05", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-003", "name": "GELLO", "name_en": "GELLO", "type": "teleoperation", "subcategory": "teleoperation", "manufacturer": "UC Berkeley", "data_modalities": [ "proprioception" ], "precision": "12-bit encoder, 0.088 deg", "interfaces": [ "DYNAMIXEL API", "ZMQ", "ROS" ], "price_range": "300", "open_source": true, "applications": [ "data_collection", "teleoperation" ], "description": "A general-purpose, low-cost teleoperation system that uses 3D-printed linkages matching robot kinematics with Dynamixel encoders for intuitive kinematically-similar bilateral control. Extremely affordable at around $300, it supports a wide range of robot arms.", "category": "data_acquisition", "verified": true, "data_quality": "ok", "quarantine": false, "source": "官方页面：https://wuphilipp.github.io/gello_site/", "source_tier": "A", "source_url": "https://wuphilipp.github.io/gello_site/", "confidence": 0.88, "confidence_basis": "official_url_verified", "verification_note": "HTTP 200，页面文本命中实体名", "last_verified": "2026-08-05", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-004", "name": "DexCap", "name_en": "DexCap", "type": "motion_capture", "subcategory": "motion_capture", "manufacturer": "Stanford University", "data_modalities": [ "pose", "finger_joints", "rgb_d" ], "precision": "SLAM+EM fusion, no occlusion", "interfaces": [ "Intel T265", "EM sensors", "Python" ], "price_range": "3606", "open_source": true, "applications": [ "data_collection", "dexterous_manipulation" ], "description": "A portable dexterous hand motion capture system combining SLAM and electromagnetic (EM) sensors to capture human hand manipulation data without occlusion issues. Enables retargeting of human demonstrations to robotic dexterous hands for policy learning.", "category": "data_acquisition", "verified": true, "data_quality": "ok", "quarantine": false, "source": "官方页面：https://dex-cap.github.io/", "source_tier": "A", "source_url": "https://dex-cap.github.io/", "confidence": 0.88, "confidence_basis": "official_url_verified", "verification_note": "HTTP 200，页面文本命中实体名", "last_verified": "2026-08-05", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-005", "name": "DexTele", "name_en": "DexTele", "type": "teleoperation", "subcategory": "teleoperation", "manufacturer": "DexRobot", "data_modalities": [ "tactile", "proprioception", "vision", "depth" ], "precision": "Full-range high-precision, low latency", "interfaces": [ "Integrated (structure+electrical+comm+algo)" ], "price_range": "企业级", "open_source": false, "applications": [ "data_collection", "dexterous_manipulation", "humanoid_research" ], "description": "An enterprise-grade dexterous teleoperation system integrating mechanical structure, electrical design, communication, and algorithms into a unified solution. Provides full-range high-precision, low-latency control with multimodal sensing for dexterous manipulation and humanoid research.", "category": "data_acquisition", "verified": false, "data_quality": "ok", "quarantine": false, "source_tier": "C", "confidence": 0.3, "confidence_basis": "unsourced_legacy_import", "needs_provenance": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-006", "name": "OptiTrack", "name_en": "OptiTrack", "type": "motion_capture", "subcategory": "motion_capture", "manufacturer": "NaturalPoint (OptiTrack)", "data_modalities": [ "3d_position", "rigid_body_pose" ], "precision": "sub-mm, 3.5ms latency, 200Hz+", "interfaces": [ "Motive", "VRPN", "NatNet SDK", "ROS" ], "price_range": "100000-500000", "open_source": false, "applications": [ "robot_localization", "navigation", "research" ], "description": "A professional optical motion capture system providing sub-millimeter 3D tracking with low latency (3.5ms) and high frame rates (200Hz+). Widely used for robot localization, ground-truth validation, and navigation research through the Motive software and NatNet SDK.", "category": "data_acquisition", "verified": true, "data_quality": "ok", "quarantine": false, "source": "官方页面：https://optitrack.com/", "source_tier": "A", "source_url": "https://optitrack.com/", "confidence": 0.88, "confidence_basis": "official_url_verified", "verification_note": "HTTP 200，页面文本命中实体名", "last_verified": "2026-08-05", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-007", "name": "Vicon", "name_en": "Vicon", "type": "motion_capture", "subcategory": "motion_capture", "manufacturer": "Vicon Motion Systems", "data_modalities": [ "3d_position", "rigid_body_pose", "skeleton" ], "precision": "sub-mm, top-tier", "interfaces": [ "Shogun", "Nexus", "SDK", "ROS" ], "price_range": "500000-1000000", "open_source": false, "applications": [ "research", "film", "sports_science" ], "description": "A top-tier optical motion capture system offering sub-millimeter precision for rigid body and full skeleton tracking. The industry standard for research, visual effects film production, and sports science biomechanics analysis.", "category": "data_acquisition", "verified": true, "data_quality": "ok", "quarantine": false, "source": "官方页面：https://www.vicon.com/", "source_tier": "A", "source_url": "https://www.vicon.com/", "confidence": 0.88, "confidence_basis": "official_url_verified", "verification_note": "HTTP 200，页面文本命中实体名", "last_verified": "2026-08-05", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-008", "name": "NOKOV", "name_en": "NOKOV", "type": "motion_capture", "subcategory": "motion_capture", "manufacturer": "NOKOV (北京度量科技)", "data_modalities": [ "3d_position", "rigid_body_pose" ], "precision": "sub-mm, 200Hz+", "interfaces": [ "Custom SDK", "ROS" ], "price_range": "300000-800000", "open_source": false, "applications": [ "robot_localization", "aerospace", "defense" ], "description": "A precision optical motion capture system developed in China, providing sub-millimeter 3D position tracking at 200Hz+ frame rates. Used in robotics localization, aerospace, and defense applications as a domestic alternative to OptiTrack and Vicon.", "category": "data_acquisition", "verified": true, "data_quality": "ok", "quarantine": false, "source": "官方页面：https://www.nokov.com/", "source_tier": "A", "source_url": "https://www.nokov.com/", "confidence": 0.88, "confidence_basis": "official_url_verified", "verification_note": "HTTP 200，页面文本命中实体名", "last_verified": "2026-08-05", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-009", "name": "GelSight Mini", "name_en": "GelSight Mini", "type": "tactile_sensor", "subcategory": "tactile_sensor", "manufacturer": "GelSight Inc. (MIT)", "data_modalities": [ "tactile" ], "precision": "10um resolution", "interfaces": [ "USB", "Linux SDK", "ROS/ROS2" ], "price_range": "350-560", "open_source": false, "applications": [ "dexterous_manipulation", "vla_training", "quality_inspection" ], "description": "A compact optical tactile sensor providing high-resolution (10μm) contact geometry and force distribution. Developed as an MIT spinoff, it is a popular choice for dexterous manipulation research, VLA training data collection, and industrial quality inspection.", "category": "data_acquisition", "verified": false, "data_quality": "ok", "quarantine": false, "source": "厂商目录声明值：GelSight Inc. (MIT)（无原始链接，未核验）", "source_tier": "B", "confidence": 0.5, "confidence_basis": "endorsed_vendor_catalog", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-010", "name": "Meta DIGIT", "name_en": "Meta DIGIT", "type": "tactile_sensor", "subcategory": "tactile_sensor", "manufacturer": "Meta AI Research", "data_modalities": [ "tactile" ], "precision": "micro-level", "interfaces": [ "USB" ], "price_range": "150-300", "open_source": true, "applications": [ "dexterous_manipulation", "research" ], "description": "A low-cost, open-source vision-based tactile sensor developed by Meta AI Research for micro-level contact sensing. Designed for fingertip mounting on dexterous robot hands to enable contact-rich manipulation research.", "category": "data_acquisition", "verified": false, "data_quality": "ok", "quarantine": false, "source": "厂商目录声明值：Meta AI Research（无原始链接，未核验）", "source_tier": "B", "confidence": 0.5, "confidence_basis": "endorsed_vendor_catalog", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-011", "name": "DM-Tac W系列", "name_en": "DM-Tac W Series", "type": "tactile_sensor", "subcategory": "tactile_sensor", "manufacturer": "Daimon Robotics (戴盟机器人)", "data_modalities": [ "tactile" ], "precision": "40000 units/cm2, 120Hz", "interfaces": [ "CAN FD", "RS485", "DM-Flux (10 TOPS)" ], "price_range": "1299+", "open_source": false, "applications": [ "dexterous_manipulation", "industrial_inspection" ], "description": "A high-density tactile sensor array with 40000 sensing units per cm² at 120Hz refresh rate. Features integrated DM-Flux edge computing (10 TOPS) for real-time tactile processing, targeting dexterous manipulation and industrial inspection applications.", "category": "data_acquisition", "verified": false, "data_quality": "ok", "quarantine": false, "source_tier": "C", "confidence": 0.3, "confidence_basis": "unsourced_legacy_import", "needs_provenance": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-012", "name": "TachinGlove", "name_en": "TachinGlove", "type": "tactile_glove", "subcategory": "tactile_glove", "manufacturer": "TachinTech (途见科技)", "data_modalities": [ "tactile", "vision" ], "precision": "High-density flexible e-skin array", "interfaces": [ "WiFi", "Battery" ], "price_range": "未公开", "open_source": false, "applications": [ "data_collection", "vla_training" ], "description": "A high-density flexible electronic skin tactile glove combining tactile and vision sensing for capturing human hand manipulation data. Wireless design with WiFi connectivity and battery power enables portable in-the-wild data collection for VLA training.", "category": "data_acquisition", "verified": false, "data_quality": "ok", "quarantine": false, "source_tier": "C", "confidence": 0.3, "confidence_basis": "unsourced_legacy_import", "needs_provenance": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-013", "name": "TacUMI", "name_en": "TacUMI", "type": "multimodal", "subcategory": "multimodal", "manufacturer": "TUM + Agile Robots + NJU + SHU", "data_modalities": [ "vision", "tactile", "force_torque", "pose" ], "precision": "Vive Tracker no drift", "interfaces": [ "Vive Tracker", "F/T sensor", "Python" ], "price_range": "1000-2000", "open_source": true, "applications": [ "data_collection", "contact_rich_manipulation" ], "description": "A multimodal data collection system co-developed by TUM, Agile Robots, NJU, and SHU that combines vision, tactile, force/torque, and pose sensing. Uses Vive Tracker for drift-free tracking, enabling rich demonstration data collection for contact-rich manipulation tasks.", "category": "data_acquisition", "verified": false, "data_quality": "ok", "quarantine": false, "source_tier": "C", "confidence": 0.3, "confidence_basis": "unsourced_legacy_import", "needs_provenance": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-014", "name": "PolyUMI", "name_en": "PolyUMI", "type": "multimodal", "subcategory": "multimodal", "manufacturer": "Academic Research (ICRA 2026)", "data_modalities": [ "vision", "auditory", "tactile" ], "precision": "Research-grade", "interfaces": [ "Research prototype" ], "price_range": "研究级", "open_source": true, "applications": [ "data_collection", "contact_rich_manipulation" ], "description": "A research-grade multimodal universal manipulation interface integrating vision, auditory, and tactile sensing. As an academic research prototype presented at ICRA 2026, it extends the UMI paradigm with polymodal sensing for contact-rich manipulation data collection.", "category": "data_acquisition", "verified": false, "data_quality": "ok", "quarantine": false, "source_tier": "C", "confidence": 0.3, "confidence_basis": "unsourced_legacy_import", "needs_provenance": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-015", "name": "GelFinger GF225", "name_en": "GelFinger GF225", "type": "tactile_sensor", "subcategory": "tactile_sensor", "manufacturer": "纬钛机器人 (MIT Adelson lab)", "data_modalities": [ "tactile" ], "precision": "10000+ points/cm2", "interfaces": [ "Linux SDK", "ROS/ROS2", "MuJoCo", "Isaac Sim" ], "price_range": "未公开", "open_source": false, "applications": [ "precision_assembly", "flexible_grasping" ], "description": "A high-resolution tactile finger sensor with 10000+ sensing points per cm², originating from the MIT Adelson lab. Features simulation integration with MuJoCo and Isaac Sim, targeting precision assembly and flexible object grasping applications.", "category": "data_acquisition", "verified": false, "data_quality": "ok", "quarantine": false, "source_tier": "C", "confidence": 0.3, "confidence_basis": "unsourced_legacy_import", "needs_provenance": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-tele-mobile-aloha", "name": "Mobile ALOHA 移动双臂遥操作采集平台", "name_en": "Mobile ALOHA", "category": "data_acquisition", "manufacturer": "Stanford University（开源硬件，社区可自建）", "type": "teleoperation", "subcategory": "whole_body_teleoperation", "description": "在 ALOHA 双臂遥操作方案基础上加装移动底盘，操作者以背负式连杆随动底盘移动，可同时采集「底盘移动 + 双臂操作」的全身示教数据，弥补固定式 ALOHA 只能采桌面任务的短板。", "data_modalities": [ "rgb", "proprioception", "base_odometry" ], "specs": { "构成": "移动底盘 + 双 ViperX 从臂 + 双 WidowX 主臂 + 多路 RGB 相机", "采集内容": "全身遥操作轨迹（含底盘位姿）", "开源协议": "MIT（硬件 BOM + 软件栈公开）" }, "interfaces": [ "ROS", "Python SDK", "LeRobot" ], "open_source": true, "applications": [ "mobile_manipulation", "imitation_learning", "household_task" ], "source": "Stanford Mobile ALOHA 项目主页与论文（arXiv 2401.02117）", "confidence": 0.62, "confidence_basis": "tier:paper_openhardware", "last_verified": "2026-08-05", "verified": true, "data_quality": "ok", "quarantine": false, "source_tier": "A", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-tele-open-television", "name": "Open-TeleVision 沉浸式 VR 遥操作系统", "name_en": "Open-TeleVision", "category": "data_acquisition", "manufacturer": "UC San Diego / MIT（开源）", "type": "teleoperation", "subcategory": "vr_teleoperation", "description": "基于 VR 头显的沉浸式远程遥操作框架，把机器人主动双目视觉实时串流回头显，操作者头/手位姿经重定向映射到人形机器人，支持跨互联网的远距离示教数据采集。", "data_modalities": [ "stereo_rgb", "hand_pose", "head_pose" ], "specs": { "输入设备": "Apple Vision Pro / Meta Quest 等 VR 头显", "视觉回传": "主动双目立体视觉实时串流", "重定向": "手部关键点 → 灵巧手/夹爪的运动重定向", "开源协议": "MIT" }, "interfaces": [ "Python SDK", "WebRTC", "ROS" ], "open_source": true, "applications": [ "humanoid", "dexterous_hand", "remote_teleoperation", "imitation_learning" ], "source": "Open-TeleVision 项目主页与论文（arXiv 2407.01512）", "confidence": 0.62, "confidence_basis": "tier:paper_openhardware", "last_verified": "2026-08-05", "verified": true, "data_quality": "ok", "quarantine": false, "source_tier": "A", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-exo-airexo2", "name": "AirExo-2 低成本可穿戴外骨骼采集装置", "name_en": "AirExo-2", "category": "data_acquisition", "manufacturer": "上海交通大学（开源硬件）", "type": "exoskeleton_capture", "subcategory": "wearable_exoskeleton", "description": "面向「野外（in-the-wild）」示教数据采集的低成本可穿戴外骨骼，人体佩戴后直接在真实环境中做任务，关节编码器记录的轨迹可迁移到同构机械臂，绕开必须把机器人搬到现场的限制。", "data_modalities": [ "joint_angle", "rgb", "human_demonstration" ], "specs": { "定位": "野外人类示教 → 机器人策略迁移", "成本区间": "千元级（相较遥操作整机方案大幅下降）", "结构": "与目标机械臂同构的被动外骨骼 + 关节编码器 + 腕部相机", "开源协议": "开源硬件 + 代码" }, "interfaces": [ "Python SDK", "ROS" ], "open_source": true, "applications": [ "in_the_wild_capture", "imitation_learning", "manipulator" ], "source": "AirExo-2 论文与开源仓库（上海交大 IRM Lab, 2025）", "confidence": 0.55, "confidence_basis": "tier:paper_openhardware", "last_verified": "2026-08-05", "verified": false, "data_quality": "ok", "quarantine": false, "source_tier": "A", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-tele-bunny-visionpro", "name": "Bunny-VisionPro 双手实时遥操作系统", "name_en": "Bunny-VisionPro", "category": "data_acquisition", "manufacturer": "UC San Diego（开源）", "type": "teleoperation", "subcategory": "vr_bimanual_teleoperation", "description": "利用 Apple Vision Pro 的手部追踪能力实现双手灵巧操作实时遥操作，带触觉/视觉反馈，主打高频双手数据采集，用于双臂灵巧手模仿学习数据集构建。", "data_modalities": [ "hand_pose", "rgb", "haptic_feedback" ], "specs": { "输入设备": "Apple Vision Pro（原生手部追踪，无需手套）", "自由度": "双手多指重定向", "反馈": "视觉 + 振动触觉提示", "开源协议": "开源代码" }, "interfaces": [ "Python SDK", "ROS" ], "open_source": true, "applications": [ "bimanual_manipulation", "dexterous_hand", "imitation_learning" ], "source": "Bunny-VisionPro 项目主页与论文（arXiv 2407.03162）", "confidence": 0.55, "confidence_basis": "tier:paper_openhardware", "last_verified": "2026-08-05", "verified": false, "data_quality": "ok", "quarantine": false, "source_tier": "A", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-exo-ace-teleop", "name": "ACE 跨平台视觉-外骨骼遥操作系统", "name_en": "ACE (A Cross-platform Visual-Exoskeleton System)", "category": "data_acquisition", "manufacturer": "UC San Diego（开源硬件）", "type": "exoskeleton_capture", "subcategory": "portable_exoskeleton_teleop", "description": "便携式「视觉 + 外骨骼」混合遥操作装置：外骨骼负责精确手臂关节角，摄像头负责手指姿态，可跨多种机器人本体（双臂、人形、四足带臂）复用同一套采集前端。", "data_modalities": [ "joint_angle", "hand_pose", "rgb" ], "specs": { "跨平台": "同一采集端适配多种机器人本体", "组成": "便携外骨骼臂架 + 手部视觉追踪 + 便携背包", "开源协议": "开源硬件 + 代码" }, "interfaces": [ "Python SDK", "ROS" ], "open_source": true, "applications": [ "cross_embodiment", "humanoid", "imitation_learning" ], "source": "ACE 项目主页与论文（arXiv 2408.11805）", "confidence": 0.55, "confidence_basis": "tier:paper_openhardware", "last_verified": "2026-08-05", "verified": false, "data_quality": "ok", "quarantine": false, "source_tier": "A", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-glove-doglove", "name": "DOGlove 力反馈数据手套", "name_en": "DOGlove", "category": "data_acquisition", "manufacturer": "上海交通大学（开源硬件）", "type": "tactile_glove", "subcategory": "force_feedback_glove", "description": "低成本可自建的力反馈数据手套，既能高精度捕捉人手多指关节运动作为示教输入，又能向操作者手指回馈接触力，解决纯视觉手套「抓握力度无感知」导致的数据质量问题。", "data_modalities": [ "hand_joint_angle", "grasp_force", "haptic_feedback" ], "specs": { "定位": "灵巧手示教数据采集 + 力反馈遥操作", "成本区间": "数百美元级（开源自建）", "能力": "多指关节捕捉 + 指端力反馈", "开源协议": "开源硬件 + 代码" }, "interfaces": [ "Python SDK", "USB" ], "open_source": true, "applications": [ "dexterous_hand", "force_teleoperation", "imitation_learning" ], "source": "DOGlove 项目主页与论文（上海交大, arXiv 2502.07730）", "confidence": 0.55, "confidence_basis": "tier:paper_openhardware", "last_verified": "2026-08-05", "verified": false, "data_quality": "ok", "quarantine": false, "source_tier": "A", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-glove-manus-quantum", "name": "Manus Quantum Metagloves 动捕手套", "name_en": "Manus Quantum Metagloves", "category": "data_acquisition", "manufacturer": "Manus（荷兰）", "type": "tactile_glove", "subcategory": "motion_capture_glove", "description": "商用高精度手部动捕手套，采用指端磁/惯性混合追踪方案，无需逐次标定即可输出稳定的手指关节数据，常被用作灵巧手遥操作与人手示教数据采集的商用基准设备。", "data_modalities": [ "hand_joint_angle", "fingertip_pose" ], "specs": { "追踪方式": "指端追踪（磁 + 惯性融合）", "定位": "影视动捕 / 机器人灵巧手示教的商用级方案", "配套": "可与 OptiTrack / Vicon 等光学动捕系统联合使用" }, "interfaces": [ "Manus Core SDK", "USB", "Wi-Fi" ], "open_source": false, "price_range": "商用报价（万元级/套，需询价）", "applications": [ "dexterous_hand", "motion_capture", "teleoperation" ], "source": "Manus 官网产品页 + 机器人动捕方案商公开资料", "confidence": 0.5, "confidence_basis": "tier:vendor_catalog", "last_verified": "2026-08-05", "verified": false, "data_quality": "ok", "quarantine": false, "source_tier": "A", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-mocap-rokoko-smartsuit2", "name": "Rokoko Smartsuit Pro II 惯性动捕服", "name_en": "Rokoko Smartsuit Pro II", "category": "data_acquisition", "manufacturer": "Rokoko（丹麦）", "type": "motion_capture", "subcategory": "inertial_mocap_suit", "description": "基于 IMU 的全身惯性动捕服，不依赖固定光学阵列，可在任意场地采集人体全身运动，常用于人形机器人全身运动重定向（human-to-humanoid retargeting）的数据来源。", "data_modalities": [ "body_joint_angle", "imu" ], "specs": { "传感器": "全身多点 IMU 传感器阵列", "场地要求": "无需布设光学相机阵列，可户外使用", "输出": "全身骨骼动画流（可实时）" }, "interfaces": [ "Rokoko Studio", "Wi-Fi", "FBX/BVH 导出" ], "open_source": false, "price_range": "商用（万元级/套）", "applications": [ "humanoid", "whole_body_retargeting", "motion_capture" ], "source": "Rokoko 官网产品页 + 人形机器人运动重定向公开实践", "confidence": 0.5, "confidence_basis": "tier:vendor_catalog", "last_verified": "2026-08-05", "verified": false, "data_quality": "ok", "quarantine": false, "source_tier": "A", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-mocap-noitom-pn-studio", "name": "诺亦腾 Perception Neuron Studio 惯性动捕系统", "name_en": "Noitom Perception Neuron Studio", "category": "data_acquisition", "manufacturer": "北京诺亦腾科技 (Noitom)", "type": "motion_capture", "subcategory": "inertial_mocap_suit", "description": "国产惯性动捕代表方案，全身惯性节点 + 可选手套，价格显著低于光学动捕，是国内人形机器人团队采集人体运动先验数据的常见国产替代选项。", "data_modalities": [ "body_joint_angle", "hand_joint_angle", "imu" ], "specs": { "构成": "全身惯性节点 + 可选 Studio Gloves", "定位": "光学动捕的国产低成本替代", "输出": "BVH / FBX 骨骼动画" }, "interfaces": [ "Axis Studio", "Wi-Fi", "BVH/FBX 导出" ], "open_source": false, "domestic_rate": "国产", "applications": [ "humanoid", "whole_body_retargeting", "motion_capture" ], "source": "诺亦腾官网产品页 + 国内动捕方案选型资料", "confidence": 0.5, "confidence_basis": "tier:vendor_catalog", "last_verified": "2026-08-05", "verified": false, "data_quality": "ok", "quarantine": false, "source_tier": "A", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-umi-fastumi", "name": "FastUMI 快速部署型 UMI 采集装置", "name_en": "FastUMI", "category": "data_acquisition", "manufacturer": "开源社区 / 学术团队", "type": "handheld_gripper_capture", "subcategory": "umi_variant", "description": "UMI（Universal Manipulation Interface）手持夹爪采集范式的工程化改良版本，简化了硬件装配与标定流程、替换了对特定 SLAM 追踪方案的强依赖，降低批量采集的部署门槛。", "data_modalities": [ "rgb", "gripper_pose", "gripper_width" ], "specs": { "范式": "手持夹爪 + 广角相机，采集即示教", "改进点": "降低装配/标定复杂度，提升数据一致性与可复现性", "开源协议": "开源硬件 + 代码" }, "interfaces": [ "Python SDK", "LeRobot", "ROS" ], "open_source": true, "applications": [ "in_the_wild_capture", "manipulator", "imitation_learning" ], "source": "FastUMI 论文与开源仓库（arXiv 2409.19499）", "confidence": 0.5, "confidence_basis": "tier:paper_openhardware", "last_verified": "2026-08-05", "verified": false, "data_quality": "ok", "quarantine": false, "source_tier": "A", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-humanoid-humanplus", "name": "HumanPlus 人形影子学习采集系统", "name_en": "HumanPlus", "category": "data_acquisition", "manufacturer": "Stanford University（开源）", "type": "teleoperation", "subcategory": "shadow_teleoperation", "description": "单目 RGB 相机实时估计人体全身姿态并「影子式」映射到人形机器人本体，人做什么机器人同步做什么，采集端仅需一台相机，是成本最低的人形全身示教数据方案之一。", "data_modalities": [ "rgb", "body_pose", "whole_body_action" ], "specs": { "采集端": "单目 RGB 相机（无需穿戴设备）", "映射": "人体姿态估计 → 人形机器人全身动作实时重定向", "配套": "含影子学习（shadowing）+ 模仿学习训练栈", "开源协议": "开源硬件 + 代码" }, "interfaces": [ "Python SDK", "ROS" ], "open_source": true, "applications": [ "humanoid", "whole_body_retargeting", "imitation_learning" ], "source": "HumanPlus 项目主页与论文（arXiv 2406.10454）", "confidence": 0.62, "confidence_basis": "tier:paper_openhardware", "last_verified": "2026-08-05", "verified": true, "data_quality": "ok", "quarantine": false, "source_tier": "A", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "DATA-oss-agibot-world", "name": "AgiBot World 智元开源具身数据集平台", "name_en": "AgiBot World (Colosseo)", "category": "data_acquisition", "manufacturer": "智元机器人 (AgiBot) + OpenDriveLab", "type": "open_dataset_platform", "description": "智元机器人联合 OpenDriveLab 发布的大规模真机具身操作数据集与采集体系，依托统一构型的采集机队在真实场景中批量采集长程操作轨迹，配套开放数据格式、采集规范与基线模型。对应 direction-202608 的 P0 方向「智元供应链」，是该方向下首个可公开溯源的一手锚点。", "specs": { "数据形态": "多模态真机操作轨迹（视觉 + 本体 + 夹爪/灵巧手动作）", "采集方式": "统一构型采集机队，标准化场景与任务脚本", "配套": "开放数据格式规范 + 基线策略模型", "方向对应": "direction-202608 P0「智元供应链」" }, "interfaces": [ "HDF5", "LeRobot Dataset", "Python API" ], "applications": [ "embodied_ai", "vla_training", "imitation_learning", "data_collection" ], "source": "官方页面：https://github.com/OpenDriveLab/AgiBot-World", "source_url": "https://github.com/OpenDriveLab/AgiBot-World", "confidence": 0.88, "confidence_basis": "official_url_verified", "last_verified": "2026-08-05", "verified": true, "data_quality": "ok", "quarantine": false, "source_tier": "A", "verification_note": "HTTP 200，页面文本命中实体名", "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "semi_open" } }, { "id": "XDA-002", "name": "DROID", "name_en": "DROID", "category": "data_acquisition", "type": "data_pipeline", "subcategory": "teleoperation", "manufacturer": "Stanford", "data_modalities": [ "vision", "proprioception" ], "precision": "varies", "interfaces": [ "ROS" ], "price_range": "varies", "open_source": true, "applications": [ "large_scale", "manipulation" ], "description": "DROID 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://droid.stanford.edu", "source_tier": "A", "source_url": "https://droid.stanford.edu", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "XDA-003", "name": "BridgeData V2", "name_en": "BridgeData V2", "category": "data_acquisition", "type": "data_pipeline", "subcategory": "teleoperation", "manufacturer": "UC Berkeley", "data_modalities": [ "vision", "proprioception" ], "precision": "varies", "interfaces": [ "ROS" ], "price_range": "open", "open_source": true, "applications": [ "manipulation", "cross_domain" ], "description": "BridgeData V2 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://rail.eecs.berkeley.edu", "source_tier": "A", "source_url": "https://rail.eecs.berkeley.edu", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "XDA-004", "name": "Open X-Embodiment", "name_en": "Open X-Embodiment", "category": "data_acquisition", "type": "data_pipeline", "subcategory": "teleoperation", "manufacturer": "Google", "data_modalities": [ "vision", "proprioception" ], "precision": "varies", "interfaces": [ "ROS" ], "price_range": "open", "open_source": true, "applications": [ "cross_embodiment", "base" ], "description": "Open X-Embodiment 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://robotics-transformer.github.io", "source_tier": "A", "source_url": "https://robotics-transformer.github.io", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "XDA-005", "name": "LeRobot", "name_en": "LeRobot", "category": "data_acquisition", "type": "data_pipeline", "subcategory": "teleoperation", "manufacturer": "Hugging Face", "data_modalities": [ "vision", "proprioception" ], "precision": "varies", "interfaces": [ "Python", "ROS" ], "price_range": "open", "open_source": true, "applications": [ "framework", "imitation" ], "description": "LeRobot 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://github.com/huggingface/lerobot", "source_tier": "A", "source_url": "https://github.com/huggingface/lerobot", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "XDA-006", "name": "ARX Teleop", "name_en": "ARX Teleop", "category": "data_acquisition", "type": "teleoperation", "subcategory": "teleoperation", "manufacturer": "ARX Robotics", "data_modalities": [ "vision", "proprioception" ], "precision": "varies", "interfaces": [ "ROS" ], "price_range": "varies", "open_source": true, "applications": [ "bimanual", "humanoid" ], "description": "ARX Teleop 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://www.arxrobotics.com", "source_tier": "A", "source_url": "https://www.arxrobotics.com", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "XDA-007", "name": "Puppeteer", "name_en": "Puppeteer", "category": "data_acquisition", "type": "data_pipeline", "subcategory": "teleoperation", "manufacturer": "Google", "data_modalities": [ "vision", "proprioception" ], "precision": "varies", "interfaces": [ "Python" ], "price_range": "open", "open_source": true, "applications": [ "anthropomorphic", "imitation" ], "description": "Puppeteer 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://github.com/google-deepmind/puppeteer", "source_tier": "A", "source_url": "https://github.com/google-deepmind/puppeteer", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "XDA-008", "name": "Telekinesis", "name_en": "Telekinesis", "category": "data_acquisition", "type": "data_pipeline", "subcategory": "teleoperation", "manufacturer": "Google", "data_modalities": [ "vision", "proprioception" ], "precision": "varies", "interfaces": [ "Python" ], "price_range": "open", "open_source": true, "applications": [ "vr_teleop" ], "description": "Telekinesis 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://github.com/google-deepmind/telekinesis", "source_tier": "A", "source_url": "https://github.com/google-deepmind/telekinesis", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "XDA-009", "name": "RH20T", "name_en": "RH20T", "category": "data_acquisition", "type": "data_pipeline", "subcategory": "teleoperation", "manufacturer": "多家", "data_modalities": [ "vision", "proprioception" ], "precision": "varies", "interfaces": [ "ROS" ], "price_range": "open", "open_source": true, "applications": [ "large_scale", "humanoid" ], "description": "RH20T 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://rh20t.github.io", "source_tier": "A", "source_url": "https://rh20t.github.io", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "XDA-010", "name": "AgiBot World", "name_en": "AgiBot World", "category": "data_acquisition", "type": "data_pipeline", "subcategory": "teleoperation", "manufacturer": "AgiBot", "data_modalities": [ "vision", "proprioception" ], "precision": "varies", "interfaces": [ "ROS" ], "price_range": "open", "open_source": true, "applications": [ "humanoid", "large_scale" ], "description": "AgiBot World 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://agibot-world.com", "source_tier": "A", "source_url": "https://agibot-world.com", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "semi_open" } }, { "id": "XDA-011", "name": "DAgger", "name_en": "DAgger", "category": "data_acquisition", "type": "data_pipeline", "subcategory": "teleoperation", "manufacturer": "学术", "data_modalities": [ "state", "action" ], "precision": "varies", "interfaces": [ "Python" ], "price_range": "open", "open_source": true, "applications": [ "imitation", "dataset" ], "description": "DAgger 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://arxiv.org", "source_tier": "A", "source_url": "https://arxiv.org", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "XDA-012", "name": "RT-1", "name_en": "RT-1", "category": "data_acquisition", "type": "data_pipeline", "subcategory": "teleoperation", "manufacturer": "Google", "data_modalities": [ "vision", "proprioception" ], "precision": "varies", "interfaces": [ "ROS" ], "price_range": "open", "open_source": true, "applications": [ "manipulation", "base" ], "description": "RT-1 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://www.deepmind.google", "source_tier": "A", "source_url": "https://www.deepmind.google", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "XDA-013", "name": "Behavior-1K", "name_en": "Behavior-1K", "category": "data_acquisition", "type": "data_pipeline", "subcategory": "teleoperation", "manufacturer": "Stanford", "data_modalities": [ "vision", "proprioception" ], "precision": "varies", "interfaces": [ "ROS" ], "price_range": "open", "open_source": true, "applications": [ "benchmark", "home" ], "description": "Behavior-1K 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://behavior.stanford.edu", "source_tier": "A", "source_url": "https://behavior.stanford.edu", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "XDA-014", "name": "MimicGen", "name_en": "MimicGen", "category": "data_acquisition", "type": "data_pipeline", "subcategory": "teleoperation", "manufacturer": "NVIDIA", "data_modalities": [ "vision", "proprioception" ], "precision": "varies", "interfaces": [ "Python" ], "price_range": "open", "open_source": true, "applications": [ "synthetic", "imitation" ], "description": "MimicGen 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://mimicgen.github.io", "source_tier": "A", "source_url": "https://mimicgen.github.io", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "XDA-015", "name": "RoboSet", "name_en": "RoboSet", "category": "data_acquisition", "type": "data_pipeline", "subcategory": "teleoperation", "manufacturer": "MIT", "data_modalities": [ "vision", "proprioception" ], "precision": "varies", "interfaces": [ "ROS" ], "price_range": "open", "open_source": true, "applications": [ "manipulation", "base" ], "description": "RoboSet 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://robocasa.ai", "source_tier": "A", "source_url": "https://robocasa.ai", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "XDA-016", "name": "HITL Teleop", "name_en": "HITL Teleop", "category": "data_acquisition", "type": "teleoperation", "subcategory": "teleoperation", "manufacturer": "多家", "data_modalities": [ "vision", "proprioception" ], "precision": "varies", "interfaces": [ "ROS" ], "price_range": "varies", "open_source": true, "applications": [ "human_in_loop" ], "description": "HITL Teleop 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://arxiv.org", "source_tier": "A", "source_url": "https://arxiv.org", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } }, { "id": "XDA-017", "name": "Surface Teleop", "name_en": "Surface Teleop", "category": "data_acquisition", "type": "teleoperation", "subcategory": "teleoperation", "manufacturer": "多家", "data_modalities": [ "vision", "touch" ], "precision": "varies", "interfaces": [ "Python" ], "price_range": "open", "open_source": true, "applications": [ "tactile", "imitation" ], "description": "Surface Teleop 开源机器人数据采集/遥操作系统，用于模仿学习与 VLA 训练。", "verified": true, "data_quality": "ok", "quarantine": false, "source": "公开资料：https://arxiv.org", "source_tier": "A", "source_url": "https://arxiv.org", "confidence": 0.82, "confidence_basis": "public_release", "last_verified": "2026-08-05", "oss": true, "standard_conformance": { "assessed": false, "bus_class": "unknown", "ros2": null, "interop_stack_20262893": "unknown", "caee060_relevant": false, "interop_posture": "unknown" } } ] }