ghkim-rlwrldapache-2.0
shell_game — delta EEF, per-frame subtask
A robotic manipulation dataset where an arm lifts cups to find a hidden red block after shuffles, with per-frame subtask language annotations. Contains 45 episodes with 18,442 frames collected via teleoperation.
Downloads35
Episodes45
Why This Matters for Physical AI
This dataset demonstrates the importance of memory and temporal reasoning in robotic manipulation by requiring agents to track hidden object states across shuffled configurations that appear identical in the current frame.
Technical Profile
- Modalities
- rgbproprioception
- Robot Embodiments
- robotic arm with gripper
- Action Space
- end_effector_delta
- Environment
- lab
- Task Types
- manipulationcup liftingobject search
- Episodes
- 45
- Data Format
- LeRobot
- Annotation Types
- language_instructionsaction_labelssubtask_labels
- License
- apache-2.0
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