huzheyuanapache-2.0
3lego WHOLE-EPISODE sessions: val_base
Dual-arm YAM robot lego block-sorting dataset reconverted to whole-episode format for in-context learning, with multi-cycle recordings under fixed block-to-tray permutations.
Downloads0
Episodes4
Hours0.07
Why This Matters for Physical AI
Whole-episode trajectories with latent task permutations enable training in-context learning models for robotic manipulation under variable environmental configurations.
Technical Profile
- Modalities
- rgbproprioceptionjoint_state
- Robot Embodiments
- Dual-YAM
- Action Space
- end_effector_delta
- Environment
- lab
- Task Types
- manipulationpick_and_placesorting
- Episodes
- 4
- Total Hours
- 0.07
- Data Format
- LeRobot
- Annotation Types
- language_instructionsaction_labels
- License
- apache-2.0
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