Simulator of mobile robots controlled by artificial neural networks to learning courses in robotics

Detalhes bibliográficos
Autor(a) principal: Bocca, Lucas Favi [UNESP]
Data de Publicação: 2020
Outros Autores: Leite, Jonatas Boas [UNESP], Mantovani, Suely Cunha Amaro [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/TAEE46915.2020.9163694
http://hdl.handle.net/11449/233038
Resumo: A mobile robot simulator was developed in a computer graphics environment as a didactic tool able to assist the teaching and learning in disciplines that involve mobile robotics. It is also useful in validating control algorithms before testing on a real robot. The developed interface allows the user to adjust the parameters of the robot, the controller and exchange maps with different obstacles. In addition to the kinematics and 2D modeling of the virtual mobile robot with wheels, three sensors were used that indicates the robot's distance to obstacles and walls. The robot controller uses a Multilayer Perceptron Neural Network (MLPNN) for autonomous navigation avoiding the collision with obstacles.
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spelling Simulator of mobile robots controlled by artificial neural networks to learning courses in roboticsComputational simulationMultilayer perceptron neural networksRobotics courseVirtual mobile robotA mobile robot simulator was developed in a computer graphics environment as a didactic tool able to assist the teaching and learning in disciplines that involve mobile robotics. It is also useful in validating control algorithms before testing on a real robot. The developed interface allows the user to adjust the parameters of the robot, the controller and exchange maps with different obstacles. In addition to the kinematics and 2D modeling of the virtual mobile robot with wheels, three sensors were used that indicates the robot's distance to obstacles and walls. The robot controller uses a Multilayer Perceptron Neural Network (MLPNN) for autonomous navigation avoiding the collision with obstacles.São Paulo State University Electrical Engeneering DepartmentSão Paulo State University Electrical Engeneering DepartmentUniversidade Estadual Paulista (UNESP)Bocca, Lucas Favi [UNESP]Leite, Jonatas Boas [UNESP]Mantovani, Suely Cunha Amaro [UNESP]2022-05-01T00:16:33Z2022-05-01T00:16:33Z2020-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttp://dx.doi.org/10.1109/TAEE46915.2020.9163694Proceedings - 2020 14th Technologies Applied to Electronics Teaching Conference, TAEE 2020.http://hdl.handle.net/11449/23303810.1109/TAEE46915.2020.91636942-s2.0-85091820656Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings - 2020 14th Technologies Applied to Electronics Teaching Conference, TAEE 2020info:eu-repo/semantics/openAccess2024-07-04T19:11:44Zoai:repositorio.unesp.br:11449/233038Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:46:23.978624Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Simulator of mobile robots controlled by artificial neural networks to learning courses in robotics
title Simulator of mobile robots controlled by artificial neural networks to learning courses in robotics
spellingShingle Simulator of mobile robots controlled by artificial neural networks to learning courses in robotics
Bocca, Lucas Favi [UNESP]
Computational simulation
Multilayer perceptron neural networks
Robotics course
Virtual mobile robot
title_short Simulator of mobile robots controlled by artificial neural networks to learning courses in robotics
title_full Simulator of mobile robots controlled by artificial neural networks to learning courses in robotics
title_fullStr Simulator of mobile robots controlled by artificial neural networks to learning courses in robotics
title_full_unstemmed Simulator of mobile robots controlled by artificial neural networks to learning courses in robotics
title_sort Simulator of mobile robots controlled by artificial neural networks to learning courses in robotics
author Bocca, Lucas Favi [UNESP]
author_facet Bocca, Lucas Favi [UNESP]
Leite, Jonatas Boas [UNESP]
Mantovani, Suely Cunha Amaro [UNESP]
author_role author
author2 Leite, Jonatas Boas [UNESP]
Mantovani, Suely Cunha Amaro [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Bocca, Lucas Favi [UNESP]
Leite, Jonatas Boas [UNESP]
Mantovani, Suely Cunha Amaro [UNESP]
dc.subject.por.fl_str_mv Computational simulation
Multilayer perceptron neural networks
Robotics course
Virtual mobile robot
topic Computational simulation
Multilayer perceptron neural networks
Robotics course
Virtual mobile robot
description A mobile robot simulator was developed in a computer graphics environment as a didactic tool able to assist the teaching and learning in disciplines that involve mobile robotics. It is also useful in validating control algorithms before testing on a real robot. The developed interface allows the user to adjust the parameters of the robot, the controller and exchange maps with different obstacles. In addition to the kinematics and 2D modeling of the virtual mobile robot with wheels, three sensors were used that indicates the robot's distance to obstacles and walls. The robot controller uses a Multilayer Perceptron Neural Network (MLPNN) for autonomous navigation avoiding the collision with obstacles.
publishDate 2020
dc.date.none.fl_str_mv 2020-07-01
2022-05-01T00:16:33Z
2022-05-01T00:16:33Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/TAEE46915.2020.9163694
Proceedings - 2020 14th Technologies Applied to Electronics Teaching Conference, TAEE 2020.
http://hdl.handle.net/11449/233038
10.1109/TAEE46915.2020.9163694
2-s2.0-85091820656
url http://dx.doi.org/10.1109/TAEE46915.2020.9163694
http://hdl.handle.net/11449/233038
identifier_str_mv Proceedings - 2020 14th Technologies Applied to Electronics Teaching Conference, TAEE 2020.
10.1109/TAEE46915.2020.9163694
2-s2.0-85091820656
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings - 2020 14th Technologies Applied to Electronics Teaching Conference, TAEE 2020
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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