Visual-Tactile Multimodality for Following Deformable Linear Objects Using Reinforcement Learning

Author:

Pecyna Leszek1,Dong Siyuan2,Luo Shan3

Affiliation:

1. University of Liverpool,Department of Computer Science,Liverpool,UK

2. School of Computer Science & Engineering, University of Washington,Seattle,WA,USA

3. King's College London,Department of Engineering,London,UK

Publisher

IEEE

Cited by 5 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. Multi Actor-Critic DDPG for Robot Action Space Decomposition: A Framework to Control Large 3D Deformation of Soft Linear Objects;IEEE Robotics and Automation Letters;2024-02

2. Attention for Robot Touch: Tactile Saliency Prediction for Robust Sim-to-Real Tactile Control;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

3. Visual-Tactile Learning of Garment Unfolding for Robot-Assisted Dressing;IEEE Robotics and Automation Letters;2023-09

4. Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories;2023 IEEE 19th International Conference on Automation Science and Engineering (CASE);2023-08-26

5. Learning Tactilemotor Policy for Robotic Cable Following via Sim-to-Real Transfer;Intelligent Robotics and Applications;2023

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