Cloth Manipulation Using Random-Forest-Based Imitation Learning

Author:

Jia BiaoORCID,Pan Zherong,Hu ZheORCID,Pan JiaORCID,Manocha Dinesh

Funder

Army Research Office

Qatar National Research Fund

Intel

HKSAR General Research Fund

NSFC/RGC Joint Research Scheme

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Wrinkle Detection and Cloth Flattening through Deep Learning and Image Analysis as Assistive Technologies for Sewing;Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments;2024-06-26

2. Achieving Autonomous Cloth Manipulation with Optimal Control via Differentiable Physics-Aware Regularization and Safety Constraints;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Learning to Unfold Garment Effectively Into Oriented Direction;IEEE Robotics and Automation Letters;2024-02

4. Co-manipulation of soft-materials estimating deformation from depth images;Robotics and Computer-Integrated Manufacturing;2024-02

5. ShakingBot: dynamic manipulation for bagging;Robotica;2024-01-04

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