rtrtwrwapache-2.0
granular-material-pour -- buckwheat, exceeding pours
161 teleoperated pours of buckwheat onto a scale using a YAM arm, demonstrating overshoot correction behavior where the operator deliberately pours past the target and removes excess material. Dataset contains 2.27 hours of video from 4 cameras and load cell measurements at 30 Hz.
Downloads93
Episodes161
Hours2.27
Why This Matters for Physical AI
This dataset is valuable for physical AI research because it demonstrates correction behaviors for overshoot errors in fine-grained pouring tasks with granular materials, enabling policies to learn recovery strategies necessary for real-world deployment.
Technical Profile
- Modalities
- rgbproprioceptionforce_torque
- Robot Embodiments
- YAM arm
- Action Space
- joint_positions
- Environment
- lab
- Task Types
- pouringmanipulation
- Episodes
- 161
- Total Hours
- 2.27
- Data Format
- LeRobot
- Annotation Types
- language_instructionsreward_labels
- License
- apache-2.0
Access
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