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
Part of the Reorientation artifacts family

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