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Benchmarking Whole‐Body Controllers on the TALOS Humanoid Robot

This article presents a comparison of three control schemes applied on the commercially available TALOS humanoid robot. The aim is to highlight the advantages and drawbacks of each model applied on three locomotion problems: walking on flat and non-flat terrain and climbing stairs. The different mod...

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Detalles Bibliográficos
Autores principales: Ramuzat, N., Stasse, O., Boria, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934419/
https://www.ncbi.nlm.nih.gov/pubmed/35316986
http://dx.doi.org/10.3389/frobt.2022.826491
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author Ramuzat, N.
Stasse, O.
Boria, S.
author_facet Ramuzat, N.
Stasse, O.
Boria, S.
author_sort Ramuzat, N.
collection PubMed
description This article presents a comparison of three control schemes applied on the commercially available TALOS humanoid robot. The aim is to highlight the advantages and drawbacks of each model applied on three locomotion problems: walking on flat and non-flat terrain and climbing stairs. The different models are based on position control (first and second models) or torque control (third model). The first one uses a hierarchical quadratic program at velocity level. The second one uses a weighted quadratic program named Task Space Inverse Dynamic (TSID) at acceleration level. Finally, the last one also uses TSID but at torque level. The controller performances are compared in simulation, using Gazebo, on the accuracy of their tracking, their energy consumption, and their computational time execution.
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spelling pubmed-89344192022-03-21 Benchmarking Whole‐Body Controllers on the TALOS Humanoid Robot Ramuzat, N. Stasse, O. Boria, S. Front Robot AI Robotics and AI This article presents a comparison of three control schemes applied on the commercially available TALOS humanoid robot. The aim is to highlight the advantages and drawbacks of each model applied on three locomotion problems: walking on flat and non-flat terrain and climbing stairs. The different models are based on position control (first and second models) or torque control (third model). The first one uses a hierarchical quadratic program at velocity level. The second one uses a weighted quadratic program named Task Space Inverse Dynamic (TSID) at acceleration level. Finally, the last one also uses TSID but at torque level. The controller performances are compared in simulation, using Gazebo, on the accuracy of their tracking, their energy consumption, and their computational time execution. Frontiers Media S.A. 2022-03-04 /pmc/articles/PMC8934419/ /pubmed/35316986 http://dx.doi.org/10.3389/frobt.2022.826491 Text en Copyright © 2022 Ramuzat, Stasse and Boria. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Ramuzat, N.
Stasse, O.
Boria, S.
Benchmarking Whole‐Body Controllers on the TALOS Humanoid Robot
title Benchmarking Whole‐Body Controllers on the TALOS Humanoid Robot
title_full Benchmarking Whole‐Body Controllers on the TALOS Humanoid Robot
title_fullStr Benchmarking Whole‐Body Controllers on the TALOS Humanoid Robot
title_full_unstemmed Benchmarking Whole‐Body Controllers on the TALOS Humanoid Robot
title_short Benchmarking Whole‐Body Controllers on the TALOS Humanoid Robot
title_sort benchmarking whole‐body controllers on the talos humanoid robot
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934419/
https://www.ncbi.nlm.nih.gov/pubmed/35316986
http://dx.doi.org/10.3389/frobt.2022.826491
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