Assistive Arm-Exoskeleton Control Based on Human Muscular Manipulability
This paper introduces a novel control framework for an arm exoskeleton that takes into account force of the human arm. In contrast to the conventional exoskeleton controllers where the assistance is provided without considering the human arm biomechanical force manipulability properties, we propose...
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Published in | Frontiers in neurorobotics Vol. 13; p. 30 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Switzerland
Frontiers Research Foundation
29.05.2019
Frontiers Media S.A |
Subjects | |
Online Access | Get full text |
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Summary: | This paper introduces a novel control framework for an arm exoskeleton that takes into account force of the human arm. In contrast to the conventional exoskeleton controllers where the assistance is provided without considering the human arm biomechanical force manipulability properties, we propose a control approach based on the arm muscular manipulability. The proposed control framework essentially reshapes the anisotropic force manipulability into the endpoint force manipulability that is invariant with respect to the direction in the entire workspace of the arm. This allows users of the exoskeleton to perform tasks effectively in the whole range of the workspace, even in areas that are normally unsuitable due to the low force manipulability of the human arm. We evaluated the proposed control framework with real robot experiments where subjects wearing an arm exoskeleton were asked to move a weight between several locations. The results show that the proposed control framework does not affect the normal movement behavior of the users while effectively reduces user effort in the area of low manipulability. Particularly, the proposed approach augments the human arm force manipulability to execute tasks equally well in the entire workspace of the arm. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Reviewed by: Duygun Erol Barkana, Yeditepe University, Turkey; Tairen Sun, Jiangsu University, China; Venketesh N. Dubey, Bournemouth University, United Kingdom Edited by: Yongping Pan, National University of Singapore, Singapore |
ISSN: | 1662-5218 1662-5218 |
DOI: | 10.3389/fnbot.2019.00030 |