How to Model Tendon-Driven Continuum Robots and Benchmark Modelling Performance.

modelling soft arm soft manipulator soft robot tendon actuation

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: 17 11 2020
accepted: 22 12 2020
entrez: 19 2 2021
pubmed: 20 2 2021
medline: 20 2 2021
Statut: epublish

Résumé

Tendon actuation is one of the most prominent actuation principles for continuum robots. To date, a wide variety of modelling approaches has been derived to describe the deformations of tendon-driven continuum robots. Motivated by the need for a comprehensive overview of existing methodologies, this work summarizes and outlines state-of-the-art modelling approaches. In particular, the most relevant models are classified based on backbone representations and kinematic as well as static assumptions. Numerical case studies are conducted to compare the performance of representative modelling approaches from the current state-of-the-art, considering varying robot parameters and scenarios. The approaches show different performances in terms of accuracy and computation time. Guidelines for the selection of the most suitable approach for given designs of tendon-driven continuum robots and applications are deduced from these results.

Identifiants

pubmed: 33604355
doi: 10.3389/frobt.2020.630245
pii: 630245
pmc: PMC7885639
doi:

Types de publication

Journal Article

Langues

eng

Pagination

630245

Informations de copyright

Copyright © 2021 Rao, Peyron, Lilge and Burgner-Kahrs.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Priyanka Rao (P)

Continuum Robotics Laboratory, Department of Mathematical and Computational Sciences, University of Toronto Mississauga, Mississauga, ON, Canada.

Quentin Peyron (Q)

Continuum Robotics Laboratory, Department of Mathematical and Computational Sciences, University of Toronto Mississauga, Mississauga, ON, Canada.

Sven Lilge (S)

Continuum Robotics Laboratory, Department of Mathematical and Computational Sciences, University of Toronto Mississauga, Mississauga, ON, Canada.

Jessica Burgner-Kahrs (J)

Continuum Robotics Laboratory, Department of Mathematical and Computational Sciences, University of Toronto Mississauga, Mississauga, ON, Canada.

Classifications MeSH