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

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...

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Main Authors: Priyanka Rao, Quentin Peyron, Sven Lilge, Jessica Burgner-Kahrs
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Robotics and AI
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2020.630245/full
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author Priyanka Rao
Quentin Peyron
Sven Lilge
Jessica Burgner-Kahrs
author_facet Priyanka Rao
Quentin Peyron
Sven Lilge
Jessica Burgner-Kahrs
author_sort Priyanka Rao
collection DOAJ
description 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.
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spelling doaj.art-9650deb3e13f4ea1bac07c2a5d1f70652022-12-21T20:22:18ZengFrontiers Media S.A.Frontiers in Robotics and AI2296-91442021-02-01710.3389/frobt.2020.630245630245How to Model Tendon-Driven Continuum Robots and Benchmark Modelling PerformancePriyanka RaoQuentin PeyronSven LilgeJessica Burgner-KahrsTendon 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.https://www.frontiersin.org/articles/10.3389/frobt.2020.630245/fullsoft manipulatorsoft armtendon actuationmodellingsoft robot
spellingShingle Priyanka Rao
Quentin Peyron
Sven Lilge
Jessica Burgner-Kahrs
How to Model Tendon-Driven Continuum Robots and Benchmark Modelling Performance
Frontiers in Robotics and AI
soft manipulator
soft arm
tendon actuation
modelling
soft robot
title How to Model Tendon-Driven Continuum Robots and Benchmark Modelling Performance
title_full How to Model Tendon-Driven Continuum Robots and Benchmark Modelling Performance
title_fullStr How to Model Tendon-Driven Continuum Robots and Benchmark Modelling Performance
title_full_unstemmed How to Model Tendon-Driven Continuum Robots and Benchmark Modelling Performance
title_short How to Model Tendon-Driven Continuum Robots and Benchmark Modelling Performance
title_sort how to model tendon driven continuum robots and benchmark modelling performance
topic soft manipulator
soft arm
tendon actuation
modelling
soft robot
url https://www.frontiersin.org/articles/10.3389/frobt.2020.630245/full
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AT jessicaburgnerkahrs howtomodeltendondrivencontinuumrobotsandbenchmarkmodellingperformance