DocumentCode
2237345
Title
Power assist method based on phase sequence driven by interaction between human and robot suit
Author
Kawamoto, Hiroaki ; Sankai, Yoshiyuki
Author_Institution
Graduate Sch. of Syst. & Info. Eng., Tsukuba Univ., Ibaraki, Japan
fYear
2004
fDate
20-22 Sept. 2004
Firstpage
491
Lastpage
496
Abstract
We proposed a power assist method for leg based on the autonomous motion driven by the interaction between human and the robot suit, HAL (hybrid assistive limb) and verified the effectiveness of this method in the experiments in walking. In order to perform walking task autonomically, we used a phase sequence control which generates a task by transiting some simple basic motions called phase. A task was divided into some phases on the basis of the task performed by a normal person. The joint moving modes were categorized into the active, passive and free modes according to the characteristic of the muscle force conditions. The autonomous motion which HAL generates in each phases were designed according to one of the categorized modes. The floor reaction force and joint angle were adopted as the condition to transit each phase. The experiments in power assist were performed for normal person. The experimental results showed that the muscle activation levels in each phase were significantly reduced. With this, we confirmed the effectiveness of the proposed assist method.
Keywords
handicapped aids; man-machine systems; motion control; robots; active modes; autonomous motion; free modes; human robot interaction; hybrid assistive limb; joint angle; joint moving modes; muscle activation; passive modes; phase sequence control; power assist method; Exoskeletons; Force control; Human robot interaction; Humanoid robots; Joints; Leg; Legged locomotion; Motion control; Muscles; Robot sensing systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Robot and Human Interactive Communication, 2004. ROMAN 2004. 13th IEEE International Workshop on
Print_ISBN
0-7803-8570-5
Type
conf
DOI
10.1109/ROMAN.2004.1374809
Filename
1374809
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