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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
Accepted in RAL, 2026
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," in IEEE Robotics and Automation Letters, vol. 11, no. 3, pp. 3820-3827, March 2026, doi: 10.1109/LRA.2026.3656770. https://ieeexplore.ieee.org/document/11359673