Development of lower-limb rehabilitation exercises using 3-PRS Parallel Robot and Dynamic Movement Primitives

Rafael J. Escarabajal

https://orcid.org/0000-0001-6535-9098

Spain

Universitat Politècnica de València

Instituto de Automática e Informática Industrial

Fares J. Abu-Dakka

https://orcid.org/0000-0001-9062-9416

Finland

Aalto University

Department of Electrical Engineering and Automation (EEA)

José L. Pulloquinga

https://orcid.org/0000-0003-0403-4593

Spain

Universitat Politècnica de València

Instituto de Automática e Informática Industrial

Vicente Mata

https://orcid.org/0000-0003-2255-0567

Spain

Universitat Politècnica de València

Centro de investigación de Ingeniería Mecánica (CIIM)

Marina Vallés

https://orcid.org/0000-0002-6396-0098

Spain

Universitat Politècnica de València

Instituto de Automática e Informática Industrial

Ángel Valera

https://orcid.org/0000-0001-6843-6394

Spain

Universitat Politècnica de València

Instituto de Automática e Informática Industrial
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Accepted: 2020-09-03

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Published: 2020-10-06

DOI: https://doi.org/10.4995/muse.2020.13907
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Keywords:

Parallel robot, rehabilitation robot, Dynamic Movement Primitives, position control

Supporting agencies:

This work has been partially funded by FEDER-CICYT project with reference DPI2017-84201-R financed by Ministerio de Economía

Industria e Innovación (Spain).

Abstract:

The design of rehabilitation exercises applied to sprained ankles requires extreme caution, regarding the trajectories and the speed of the movements that will affect the patient. This paper presents a technique that allows a 3-PRS parallel robot to control such exercises, consisting of dorsi/plantar flexion and inversion/eversion ankle movements. The work includes a position control scheme for the parallel robot in order to follow a reference trajectory for each limb with the possibility of stopping the exercise in mid-execution without control loss. This stop may be motivated by the forces that the robot applies to the patient, acting like an alarm mechanism. The procedure introduced here is based on Dynamic Movement Primitives (DMPs).
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References:

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