Robust Passivity-Based Dynamical Systems for Compliant Motion Adaptation-Reference-Cited by-同舟云学术

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Robust Passivity-Based Dynamical Systems for Compliant Motion Adaptation

Published:2022-12 Issue:6 Volume:27 Page:4819-4828
ISSN:1083-4435
Container-title:IEEE/ASME Transactions on Mechatronics
language:
Short-container-title:IEEE/ASME Trans. Mechatron.

Author:

Huang Haohui¹^ORCID,Guo Yi¹,Yang Genke¹,Chu Jian¹,Chen Xinwei²,Li Zhibin³,Yang Chenguang⁴^ORCID

Affiliation:

1. Department of Automation, Shanghai Jiao Tong University, Shanghai, China

2. Fujian Provincial Key Laboratory of Information Processing and Intelligent Control, Minjiang University, Minjiang, China

3. Department of Computer Science, University College of London, London, U.K.

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

Funder

China National R&D Key Research Program

Fellowship of the China Postdoctoral Science Foundation

Fujian Provincial Key Laboratory of Information Processing and Intelligent Control

Minjiang University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/3516/9985401/09763830.pdf?arnumber=9763830

Reference31 articles.

1. Imitation learning of globally stable non-linear point-to-point robot motions using nonlinear programming

2. Compliant Motion Adaptation with Dynamical System during Robot-Environment Interaction

3. Robotic Ultrasound Scanning With Real-Time Image-Based Force Adjustment: Quick Response for Enabling Physical Distancing During the COVID-19 Pandemic

4. Interface Design and Control Strategies for a Robot Assisted Ultrasonic Examination System

5. Robotic ultrasound probe handling auxiliary by active compliance control

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. Learning compliant dynamical system from human demonstrations for stable force control in unknown environments;Robotics and Computer-Integrated Manufacturing;2024-04

2. A Flexible Imitation Learning System Based on the Lyapunov Energy Function of the Neural Networks;2024 IEEE International Conference on Industrial Technology (ICIT);2024-03-25

3. Physical Human–Robot Interaction Based on Adaptive Impedance Control for Robotic-Assisted Total Hip Arthroplasty;IEEE/ASME Transactions on Mechatronics;2024

4. Safe Learning by Constraint-Aware Policy Optimization for Robotic Ultrasound Imaging;IEEE Transactions on Automation Science and Engineering;2024

5. Observer-Based Sensorless Admittance Control from Demonstrations with Dynamical Systems for Robot-Environment Interaction;2023 IEEE International Conference on Unmanned Systems (ICUS);2023-10-13

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