Impedance Learning for Human-Guided Robots in Contact With Unknown Environments

Author:

Xing Xueyan1ORCID,Burdet Etienne2ORCID,Si Weiyong3,Yang Chenguang3ORCID,Li Yanan1ORCID

Affiliation:

1. Department of Engineering and Design, University of Sussex, Brighton, U.K.

2. Department of Bioengineering, Imperial College of Science, Technology and Medicine, London, U.K.

3. Bristol Robotics Laboratory, University of the West of England, Bristol, U.K.

Funder

U.K. EPSRC

State Key Laboratory of Robotics and Systems

European Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

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. A Robot Humanoid Control Framework Through Human Arm Active Endpoint Stiffness and Direction Adaptive Compensation;IEEE Robotics and Automation Letters;2024-09

2. Imitation Learning of Robotic Arm with Hierarchical Training Based on Human Videos;2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC);2024-06-07

3. Optimized Admittance Control for Manipulators Interacting with Unknown Environment;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

4. Approximation-Based Admittance Control of Robot-Environment Interaction With Guaranteed Performance;IEEE Transactions on Systems, Man, and Cybernetics: Systems;2024

5. A Physical Human–Robot Interaction Framework for Trajectory Adaptation Based on Human Motion Prediction and Adaptive Impedance Control;IEEE Transactions on Automation Science and Engineering;2024

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