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
fDate :
3/1/2003 12:00:00 AM
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;
Journal_Title :
Mechatronics, IEEE/ASME Transactions on
DOI :
10.1109/TMECH.2003.809168