MarcelTorne2026mit
put_cube_in_bowl_preferences
Real-robot trajectories for a cube-in-bowl manipulation task on a Franka Panda with human pairwise preference labels across multiple judgment axes. Built for reward-model and preference-learning research with 540 episodes and 2,348 preference labels.
Downloads54
Episodes540
Hours1.2052
Technical Profile
- Modalities
- rgbproprioception
- Robot Embodiments
- Franka Panda
- Action Space
- 8-DoF: joint_0, joint_1, joint_2, joint_3, joint_4, joint_5, joint_6, gripper
- Environment
- lab
- Task Types
- manipulationpick_and_place
- Episodes
- 540
- Total Hours
- 1.2052
- Data Format
- LeRobot
- License
- mit
Access
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