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Short description of portfolio item number 1
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Under Review in ARXIV, 2025
We builds a pipeline for automatic cloth generation and trained a diffusion policy for cloth folding using just synthetic data.
Recommended citation: Y. Chen, B. Xiao, and H. Wang, "FoldNet: Learning generalizable closed-loop policy for garment folding via keypoint-driven asset and demonstration synthesis," arXiv preprint arXiv:2505.09109, May 2025. [Online]. Available: https://arxiv.org/abs/2505.09109 https://arxiv.org/abs/2505.09109
Published in RAL, 2025
We proposed a primitive-based robotic cloth hanging algorithm, it achieved 75% success rate with 8 different unseen garments in the real world.
Recommended citation: Y. Chen et al., "RoboHanger: Learning Generalizable Robotic Hanger Insertion for Diverse Garments," in IEEE Robotics and Automation Letters, doi: 10.1109/LRA.2025.3588048. https://arxiv.org/abs/2412.01083
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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