Author:
Zhao Yating,Liang Changyong,Gu Zuozuo,Zheng Yunjun,Wu Qilin
Abstract
In view of the urgent need for intelligent rehabilitation equipment for some disabled people, an intelligent, upper limb rehabilitation training robot is designed by applying the theories of artificial intelligence, information, control, human-machine engineering, and more. A new robot structure is proposed that combines the use of a flexible rope with an exoskeleton. By introducing environmentally intelligent ergonomics, combined with virtual reality, multi-channel information fusion interaction technology and big-data analysis, a collaborative, efficient, and intelligent remote rehabilitation system based on a human’s natural response and other related big-data information is constructed. For the multi-degree of the freedom robot system, optimal adaptive robust control design is introduced based on Udwdia-Kalaba theory and fuzzy set theory. The new equipment will help doctors and medical institutions to optimize both rehabilitation programs and their management, so that patients are more comfortable, safer, and more active in their rehabilitation training in order to obtain better rehabilitation results.
Funder
National Natural Science Foundation of China
Subject
Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health
Reference54 articles.
1. Roadmap of service robot technology in the US;Chuan;Robot Ind.,2016
2. IFR released the latest global service robot statistics report;Chen;Robot Ind.,2016
3. The Market Scale of Rehabilitation Robot Reaches 10 Billion under the Stimulation of Aginghttps://www.sohu.com/a/200125545_114835
4. Rehabilitation Robothttps://www.britannica.com/technology/rehabilitation-robot
5. Applications of robots in rehabilitation
Cited by
20 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