FlappyHimself
Reorientation artifacts
A motion-capture dataset containing 35 trajectories of object reorientation tasks (20 phone, 10 marker, 5 scissors) with Stage1 and Stage2 kinematic data, video reviews, and quality assurance reports.
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Episodes35
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Why This Matters for Physical AI
This dataset provides high-quality motion-capture demonstrations of object reorientation with rigorous kinematic validation and multi-stage quality assurance, supporting the development of imitation learning policies for dexterous manipulation.
Technical Profile
- Modalities
- motion_capturevideo
- Robot Embodiments
- UR10e
- Environment
- lab
- Task Types
- reorientationmanipulation
- Episodes
- 35
- Data Format
- NPZ
- Annotation Types
- kinematic_qavideo_reviewsync_auditframe_mapping
Community Signals
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