CoolFace
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deformable-bench/flatten-tshirt

flatten_tshirt — bimanual t-shirt flattening A dual-arm Piper flattens a crumpled t-shirt on a table. Success combines a coverage signal (catches 'still crumpled') with a shape-distance signal against a canonical flat pose (catches 'spread out but still folded'). Part of a bimanual deformable-object (cloth / bag) manipulation benchmark. Physics is a GPU cloth solver co-simulated with the robot in a single model; observations are rendered with a photorealistic renderer.… See the full description on the dataset page: https://huggingface.co/datasets/deformable-bench/flatten-tshirt.

sourceHugging Faceapache-2.0updated 2mo agoView on Hugging Face
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Dataset Card

flatten_tshirt — bimanual t-shirt flattening

A dual-arm Piper flattens a crumpled t-shirt on a table. Success combines a coverage signal (catches 'still crumpled') with a shape-distance signal against a canonical flat pose (catches 'spread out but still folded').

Part of a bimanual deformable-object (cloth / bag) manipulation benchmark. Physics is a GPU cloth solver co-simulated with the robot in a single model; observations are rendered with a photorealistic renderer.

Contents

FormatLeRobot v3.0 (parquet + mp4, compacted)
Robotsim_dual_piper_deformable
Episodes200
Frames41,464
Tasks1
Control rate25 fps
Camerasstatic_cam, right_hand_cam, left_hand_cam
Video1280×720, H264
State / action14-D each (left 6 joints + gripper, right 6 joints + gripper)

Usage

python
from lerobot.datasets.lerobot_dataset import LeRobotDataset

ds = LeRobotDataset("hwk0809/flatten-tshirt")

If your torchcodec build cannot decode these videos, pass video_backend="pyav".

License

Apache-2.0.