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Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator

This article presents the development of a model of a spherical robot that rolls to move and has a single point of support with the surface. The model was developed in the CoppeliaSim simulator, which is a versatile tool for implementing this kind of experience. The model was tested under several sc...

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Autores principales: Montenegro, Guelis, Chacón, Roberto, Fabregas, Ernesto, Garcia, Gonzalo, Schröder, Karla, Marroquín, Alberto, Dormido-Canto, Sebastián, Farias, Gonzalo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415907/
https://www.ncbi.nlm.nih.gov/pubmed/36015783
http://dx.doi.org/10.3390/s22166020
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author Montenegro, Guelis
Chacón, Roberto
Fabregas, Ernesto
Garcia, Gonzalo
Schröder, Karla
Marroquín, Alberto
Dormido-Canto, Sebastián
Farias, Gonzalo
author_facet Montenegro, Guelis
Chacón, Roberto
Fabregas, Ernesto
Garcia, Gonzalo
Schröder, Karla
Marroquín, Alberto
Dormido-Canto, Sebastián
Farias, Gonzalo
author_sort Montenegro, Guelis
collection PubMed
description This article presents the development of a model of a spherical robot that rolls to move and has a single point of support with the surface. The model was developed in the CoppeliaSim simulator, which is a versatile tool for implementing this kind of experience. The model was tested under several scenarios and control goals (i.e., position control, path-following and formation control) with control strategies such as reinforcement learning, and Villela and IPC algorithms. The results of these approaches were compared using performance indexes to analyze the performance of the model under different scenarios. The model and examples with different control scenarios are available online.
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spelling pubmed-94159072022-08-27 Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator Montenegro, Guelis Chacón, Roberto Fabregas, Ernesto Garcia, Gonzalo Schröder, Karla Marroquín, Alberto Dormido-Canto, Sebastián Farias, Gonzalo Sensors (Basel) Article This article presents the development of a model of a spherical robot that rolls to move and has a single point of support with the surface. The model was developed in the CoppeliaSim simulator, which is a versatile tool for implementing this kind of experience. The model was tested under several scenarios and control goals (i.e., position control, path-following and formation control) with control strategies such as reinforcement learning, and Villela and IPC algorithms. The results of these approaches were compared using performance indexes to analyze the performance of the model under different scenarios. The model and examples with different control scenarios are available online. MDPI 2022-08-12 /pmc/articles/PMC9415907/ /pubmed/36015783 http://dx.doi.org/10.3390/s22166020 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Montenegro, Guelis
Chacón, Roberto
Fabregas, Ernesto
Garcia, Gonzalo
Schröder, Karla
Marroquín, Alberto
Dormido-Canto, Sebastián
Farias, Gonzalo
Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator
title Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator
title_full Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator
title_fullStr Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator
title_full_unstemmed Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator
title_short Modeling and Control of a Spherical Robot in the CoppeliaSim Simulator
title_sort modeling and control of a spherical robot in the coppeliasim simulator
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9415907/
https://www.ncbi.nlm.nih.gov/pubmed/36015783
http://dx.doi.org/10.3390/s22166020
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