Simulator of mobile robots controlled by Artificial Neural Networks to learning courses in robotics

Detalhes bibliográficos
Autor(a) principal: Bocca, Lucs Favi [UNESP]
Data de Publicação: 2020
Outros Autores: Leite, Jonatas Boas [UNESP], Amaro Mantovani, Suely Cunha [UNESP], Alves, G. R., Fidalgo, A. V., Felgueiras, M. C., Costa, R.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/210078
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 simulationRobotics courseVirtual mobile robotMultilayer perceptron neural networksA 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.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Sao Paulo State Univ, Dept Elect Engn, Ilha Solteira, SP, BrazilSao Paulo State Univ, Dept Elect Engn, Ilha Solteira, SP, BrazilFAPESP: 2018/14200-5IeeeUniversidade Estadual Paulista (Unesp)Bocca, Lucs Favi [UNESP]Leite, Jonatas Boas [UNESP]Amaro Mantovani, Suely Cunha [UNESP]Alves, G. R.Fidalgo, A. V.Felgueiras, M. C.Costa, R.2021-06-25T12:39:01Z2021-06-25T12:39:01Z2020-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject62020 Xiv Technologies Applied To Electronics Teaching Conference (taee2020). New York: Ieee, 6 p., 2020.2573-4059http://hdl.handle.net/11449/210078WOS:000623210700016Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2020 Xiv Technologies Applied To Electronics Teaching Conference (taee2020)info:eu-repo/semantics/openAccess2024-07-04T19:11:44Zoai:repositorio.unesp.br:11449/210078Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:46:22.860858Repositório 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, Lucs Favi [UNESP]
Computational simulation
Robotics course
Virtual mobile robot
Multilayer perceptron neural networks
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, Lucs Favi [UNESP]
author_facet Bocca, Lucs Favi [UNESP]
Leite, Jonatas Boas [UNESP]
Amaro Mantovani, Suely Cunha [UNESP]
Alves, G. R.
Fidalgo, A. V.
Felgueiras, M. C.
Costa, R.
author_role author
author2 Leite, Jonatas Boas [UNESP]
Amaro Mantovani, Suely Cunha [UNESP]
Alves, G. R.
Fidalgo, A. V.
Felgueiras, M. C.
Costa, R.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Bocca, Lucs Favi [UNESP]
Leite, Jonatas Boas [UNESP]
Amaro Mantovani, Suely Cunha [UNESP]
Alves, G. R.
Fidalgo, A. V.
Felgueiras, M. C.
Costa, R.
dc.subject.por.fl_str_mv Computational simulation
Robotics course
Virtual mobile robot
Multilayer perceptron neural networks
topic Computational simulation
Robotics course
Virtual mobile robot
Multilayer perceptron neural networks
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 2020-01-01
2021-06-25T12:39:01Z
2021-06-25T12:39:01Z
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 2020 Xiv Technologies Applied To Electronics Teaching Conference (taee2020). New York: Ieee, 6 p., 2020.
2573-4059
http://hdl.handle.net/11449/210078
WOS:000623210700016
identifier_str_mv 2020 Xiv Technologies Applied To Electronics Teaching Conference (taee2020). New York: Ieee, 6 p., 2020.
2573-4059
WOS:000623210700016
url http://hdl.handle.net/11449/210078
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2020 Xiv Technologies Applied To Electronics Teaching Conference (taee2020)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 6
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
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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