Bioinspired Postural Controllers for a Locked-Ankle Exoskeleton Targeting Complete SCI Users.

balance controller exoskeleton paraplegic position-control posture standing

Journal

Frontiers in robotics and AI
ISSN: 2296-9144
Titre abrégé: Front Robot AI
Pays: Switzerland
ID NLM: 101749350

Informations de publication

Date de publication:
2020
Historique:
received: 20 04 2020
accepted: 05 10 2020
entrez: 27 1 2021
pubmed: 28 1 2021
medline: 28 1 2021
Statut: epublish

Résumé

Several lower-limb exoskeletons enable overcoming obstacles that would impair daily activities of wheelchair users, such as going upstairs. Still, as most of the currently commercialized exoskeletons require the use of crutches, they prevent the user from interacting efficiently with the environment. In a previous study, a bio-inspired controller was developed to allow dynamic standing balance for such exoskeletons. It was however only tested on the device without any user. This work describes and evaluates a new controller that extends this previous one with an online model compensation, and the contribution of the hip joint against strong perturbations. In addition, both controllers are tested with the exoskeleton TWIICE One, worn by a complete spinal cord injury pilot. Their performances are compared by the mean of three tasks: standing quietly, resisting external perturbations, and lifting barbells of increasing weight. The new controller exhibits a similar performance for quiet standing, longer recovery time for dynamic perturbations but better ability to sustain prolonged perturbations, and higher weightlifting capability.

Identifiants

pubmed: 33501317
doi: 10.3389/frobt.2020.553828
pmc: PMC7805988
doi:

Types de publication

Journal Article

Langues

eng

Pagination

553828

Informations de copyright

Copyright © 2020 Fasola, Baud, Vouga, Ijspeert and Bouri.

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Auteurs

Jemina Fasola (J)

Laboratory of Cognitive Neuroscience (LNCO), School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.

Romain Baud (R)

Biorobotics Laboratory (BIOROB), School of Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Tristan Vouga (T)

Biorobotics Laboratory (BIOROB), School of Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Auke Ijspeert (A)

Biorobotics Laboratory (BIOROB), School of Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.

Mohamed Bouri (M)

Biorobotics Laboratory (BIOROB), School of Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Translationnal Neural Engineering (TNE), School of Engineering, Ecole Polytechnique Fédérale de Lausanne (EPFL), Geneva, Switzerland.

Classifications MeSH