huzheyuanapache-2.0
3lego WHOLE-EPISODE sessions: round1
Dual-arm YAM robot block-sorting dataset with 12 whole-episode sessions (216,000 frames @ 60 Hz) reconverted from raw recordings for in-context learning, featuring multi-camera observations and both cartesian and joint-space action representations.
Downloads0
Episodes12
Hours1.00
Why This Matters for Physical AI
This dataset enables in-context learning research by providing whole-episode dual-arm manipulation trajectories with latent task structure (block permutations), multi-view camera observations, and fine-grained subtask language annotations for studying how robots learn from in-episode context.
Technical Profile
- Modalities
- rgbproprioceptionlanguage
- Robot Embodiments
- dual-arm manipulator
- Action Space
- end_effector_delta
- Environment
- lab
- Task Types
- manipulationpick_and_placesorting
- Episodes
- 12
- Total Hours
- 1.00
- Data Format
- LeRobot
- Annotation Types
- language_instructionsaction_labelssubtask_segmentation
- License
- apache-2.0
Access
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