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Design and Control of a Seven Degrees-of-Freedom Semi-exoskeleton Upper Limb Robot

  • Chengqi Lin
  • , Weifeng Wu
  • , Gengliang Lin
  • , Siqi Cai
  • , Longhan Xie*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Previous studies have shown that patient’s voluntary participation is one of the key factors in improving rehabilitation effects. End-effector and exoskeleton type robots have been developed to support rehabilitation training at different impedance levels. However, these robots either fail to take the movement of the shoulder girdle into account or suffer from complex and massive shoulder mechanisms. In this paper, we merge the advantages of the end-effector and exoskeleton type robots and propose a simple and effective semi-exoskeleton upper limb robot with seven degrees of freedom to support the impedance training of the human shoulder complex and elbow joint. Besides, an admittance control scheme is developed to generate desired movements during training. Experiments on five subjects are conducted to assess the feasibility and performance of the proposed robot. Results show that the proposed robot has satisfactory performance in terms of shoulder kinematic compatibility and human-robot interaction. This study could pave way for a practical rehabilitation robot for patients with stroke in real-life.

Original languageEnglish
Title of host publicationSocial Robotics - 13th International Conference, ICSR 2021, Proceedings
EditorsHaizhou Li, Shuzhi Sam Ge, Yan Wu, Agnieszka Wykowska, Hongsheng He, Xiaorui Liu, Dongyu Li, Jairo Perez-Osorio
PublisherSpringer Science and Business Media Deutschland GmbH
Pages596-605
Number of pages10
ISBN (Print)9783030905248
DOIs
StatePublished - 2021
Externally publishedYes
Event13th International Conference on Social Robotics, ICSR 2021 - Singapore, Singapore
Duration: 10 Nov 202113 Nov 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13086 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th International Conference on Social Robotics, ICSR 2021
Country/TerritorySingapore
CitySingapore
Period10/11/2113/11/21

Keywords

  • Admittance control
  • Rehabilitation
  • Semi-exoskeleton robot
  • Upper limb

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