• DocumentCode
    1161986
  • Title

    An exoskeletal robot for human shoulder joint motion assist

  • Author

    Kiguchi, Kazuo ; Iwami, Koya ; Yasuda, Makoto ; Watanabe, Keigo ; Fukuda, Toshio

  • Author_Institution
    Dept. of Adv. Syst. Control Eng., Saga Univ., Japan
  • Volume
    8
  • Issue
    1
  • fYear
    2003
  • fDate
    3/1/2003 12:00:00 AM
  • Firstpage
    125
  • Lastpage
    135
  • Abstract
    We develop exoskeletal robots to assist the motion of physically weak persons such as elderly persons or handicapped persons. In our previous research (2001), a prototype of a two degree of freedom exoskeletal robots for shoulder joint motion assist have been developed. In this paper, we propose an effective fuzzy-neuro controller, a moving mechanism of the center of rotation (CR) of the shoulder joint of the exoskeletal robot, and an intelligent interface in order to realize a practical and effective exoskeletal robot for shoulder joint motion assist. The fuzzy-neuro controller enables the robot to assist a person´s shoulder motion. The moving mechanism of the CR of the robot shoulder joint is used to fit the CR of the robot shoulder joint to that of the physiological human shoulder joint during the shoulder motion. The intelligent interface is realized by applying a neural network and used to cancel out the effect the human subject´s arm posture change. The effectiveness of the proposed method was evaluated by experiment.
  • Keywords
    feedforward neural nets; fuzzy control; handicapped aids; manipulator dynamics; motion control; neurocontrollers; user interfaces; EMG signals; backpropagation; center of rotation; exoskeletal robots; fuzzy control; handicapped aids; human motion assist; intelligent interface; multilayer neural network; neurocontrol; shoulder joint; soft computing; Chromium; Humans; Intelligent networks; Intelligent robots; Motion control; Neural networks; Prototypes; Robot control; Senior citizens; Shoulder;
  • fLanguage
    English
  • Journal_Title
    Mechatronics, IEEE/ASME Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4435
  • Type

    jour

  • DOI
    10.1109/TMECH.2003.809168
  • Filename
    1187379