Human-Robot Interaction Control Based on the RBF Neural Network for Upper Limb Rehabilitation Robot-Reference-Cited by-同舟云学术

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Human-Robot Interaction Control Based on the RBF Neural Network for Upper Limb Rehabilitation Robot

Published:2023-11-10 Issue: Volume: Page:673-678
ISSN:
Container-title:2023 7th Asian Conference on Artificial Intelligence Technology (ACAIT)
language:
Short-container-title:

Author:

Tian Zhenda¹,Liu Keping²,Liu Yongbai³,Wang Gang³,Shen Yao¹,Sun Zhongbo¹

Affiliation:

1. Changchun University of Technology,Department of Control Science and Engineering,Changchun,China

2. Changchun University of Technology,Mechanical Engineering,Changchun,China

3. Changchun University of Technology School of Electrical and Information Engineering, Jilin Engineering Normal University,Department of Control Science and Engineering,Changchun,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10528382/10528383/10528527.pdf?arnumber=10528527

Reference11 articles.

1. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016

2. Neurorehabilitation of stroke

3. An artificial systems, computational experiments and parallel execution‐based surface electromyogram‐driven anti‐disturbance zeroing neurodynamic strategy for upper limb human‐robot interaction control

4. Mechanisms of use-dependent plasticity in the human motor cortex

5. Rethinking Motor Learning and Savings in Adaptation Paradigms: Model-Free Memory for Successful Actions Combines with Internal Models

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