Literature DB >> 26483305

Impedance control in a wave-based teleoperator for rehabilitation motor therapies assisted by robots.

Marco Mendoza1, Isela Bonilla2, Emilio González-Galván3, Fernando Reyes4.   

Abstract

This paper presents an improved wave-based bilateral teleoperation scheme for rehabilitation therapies assisted by robot manipulators. The main feature of this bilateral teleoperator is that both robot manipulators, master and slave, are controlled by impedance. Thus, a pair of motion-based adaptive impedance controllers are integrated into a wave-based configuration, in order to guarantee a stable human-robot interaction and to compensate the position drift, characteristic of the available schemes of bilateral teleoperation. Moreover, the teleoperator stability, in the presence of time delays in the communication channel, is guaranteed because the wave-variable approach is included to encode the force and velocity signals. It should be noted that the proposed structure enables the implementation of several teleoperator schemes, from passive therapies, without the intervention of a human operator on the master side, to fully active therapies where both manipulators interact with humans in a stable manner. The suitable performance of the proposed teleoperator is verified through some results obtained from the simulation of the passive and active-constrained modes, by considering typical tasks in motor-therapy rehabilitation, where an improved behavior is observed when compared to implementations of the classical wave-based approach.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Bilateral teleoperator; Impedance control; Rehabilitation therapies; Robot manipulators; Wave variables

Mesh:

Year:  2015        PMID: 26483305     DOI: 10.1016/j.cmpb.2015.09.016

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  1 in total

1.  Patient-Centered Robot-Aided Passive Neurorehabilitation Exercise Based on Safety-Motion Decision-Making Mechanism.

Authors:  Lizheng Pan; Aiguo Song; Suolin Duan; Zhuqing Yu
Journal:  Biomed Res Int       Date:  2017-01-16       Impact factor: 3.411

  1 in total

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