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T-Shirt Folding Mixed Manifest

A lightweight manifest for a public T-shirt folding collection built from five source datasets, providing a clean entrypoint while preserving native frame rates. The dataset was created at the University of Waterloo for training a laundry-folding robot using imitation learning and DAgger corrections.

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Why This Matters for Physical AI

This dataset enables training of vision-based manipulation models for cloth folding, a challenging deformable object manipulation task relevant to practical robotics applications in laundry automation.

Technical Profile

Modalities
rgbproprioception
Action Space
joint_positions
Environment
labhome
Task Types
manipulationpick_and_place
Data Format
LeRobot
Annotation Types
action_labels
Part of the T-Shirt Folding Mixed Manifest family

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