sii-rhos-ai2025MIT
ViFailback Dataset — LeRobot
Real-world ALOHA dual-arm manipulation trajectories designed for studying failure diagnosis, localization, corrective guidance, recovery, and learning from failed demonstrations. Contains 5,202 episodes with frame-level failure annotations and keyframe labels.
Downloads0
Episodes5202
Hours14.41
Likes1
Why This Matters for Physical AI
Provides large-scale real-world manipulation data with explicit failure annotations and recovery guidance, enabling research into failure diagnosis and learning from negative demonstrations for robotic manipulation.
Technical Profile
- Modalities
- rgbproprioceptionjoint_positionsjoint_velocitiesjoint_effort
- Robot Embodiments
- ALOHA
- Action Space
- joint_positions
- Environment
- lab
- Task Types
- manipulationfailure_recoverygrasping
- Episodes
- 5202
- Total Hours
- 14.41
- Data Format
- LeRobot
- Annotation Types
- language_instructionsfailure_labelskeyframe_labelsfailure_type_labels
- License
- MIT
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