ajaysri
LEGO flat final-goal policy
200 robot demonstrations (100 teleoperated + 100 correction) in simulation with 79,956 frames at 20 Hz for learning assembly tasks from visual and textual goal specifications.
Downloads0
Episodes200
Why This Matters for Physical AI
This dataset enables research into learning assembly tasks from multimodal goal specifications (images and language), demonstrating how robots can be trained to follow structured final-goal representations rather than step-by-step instructions.
Technical Profile
- Modalities
- rgbproprioceptionlanguage
- Robot Embodiments
- robot
- Action Space
- joint_positions
- Environment
- simulation
- Task Types
- assemblymanipulation
- Episodes
- 200
- Data Format
- LeRobot
- Annotation Types
- language_instructionsgoal_imagesaction_labels
Access
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