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A collaborative learning optimization strategy for shared control of walking-aid robot

  • Wenxia Xu
  • , Jian Huang*
  • , Yongji Wang
  • , Chunjing Tao
  • *此作品的通讯作者
  • Huazhong University of Science and Technology
  • National Research Center for Rehabilitation Technical Aids

科研成果: 书/报告/会议事项章节章节同行评审

摘要

Elderly and disabled people often require assistance in getting about with maximum freedom and control while maintaining overall safety. In this chapter, we develop a collaborative learning optimization strategy for shared control of an intelligent walking-aid robot for the purpose of assisting elderly and disabled people. The proposed architecture can adjust two user control weights dynamically by a learning algorithm according to user control habit and walking environment, allowing both human and robot to maintain control of the walking-aid robot. Finally, the experiment results illustrate the validity of the collaborative learning optimization strategy as part of a shared control algorithm.

源语言英语
主期刊名Applied Methods and Techniques for Mechatronic Systems
主期刊副标题Modelling, Identification and Control
出版商Springer Verlag
411-423
页数13
ISBN(印刷版)9783642363849
DOI
出版状态已出版 - 2014
已对外发布

出版系列

姓名Lecture Notes in Control and Information Sciences
452
ISSN(印刷版)0170-8643

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