A New Robotic Knee Impedance Control Parameter Optimization Method Facilitated by Inverse Reinforcement Learning-Reference-Cited by-同舟云学术

A New Robotic Knee Impedance Control Parameter Optimization Method Facilitated by Inverse Reinforcement Learning

Published:2022-10 Issue:4 Volume:7 Page:10882-10889
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Liu Wentao¹^ORCID,Wu Ruofan²^ORCID,Si Jennie²^ORCID,Huang He Helen¹^ORCID

Affiliation:

1. UNC/NCSU Department of Biomedical Engineering, North Carolina State University, Raleigh, NC, USA

2. School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ, USA

Funder

National Science Foundation

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

Link

https://ieeexplore.ieee.org/ielam/7083369/9831196/9842322-aam.pdf

Reference31 articles.

1. Reinforcement Learning Impedance Control of a Robotic Prosthesis to Coordinate With Human Intact Knee Motion

2. Robotic Knee Tracking Control to Mimic the Intact Human Knee Profile Based on Actor-Critic Reinforcement Learning

3. Human-in-the-loop optimization of exoskeleton assistance during walking;zhang;Science,2017

4. A New Powered Lower Limb Prosthesis Control Framework Based on Adaptive Dynamic Programming

5. Online Reinforcement Learning Control for the Personalization of a Robotic Knee Prosthesis

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