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Found 2 papers, 2 papers with code
Learning Keypoints for Robotic Cloth Manipulation using Synthetic Data
We train detectors for both T-shirts, towels and shorts and obtain an average precision of 64% and an average keypoint distance of 18 pixels.
Learning Keypoints from Synthetic Data for Robotic Cloth Folding
We evaluate the performance of this detector for folding towels on a unimanual robot setup and find that the grasp and fold success rates are 77% and 53%, respectively.
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