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

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorBocca, Lucs Favi [UNESP]-
Autor(es): dc.creatorLeite, Jonatas Boas [UNESP]-
Autor(es): dc.creatorAmaro Mantovani, Suely Cunha [UNESP]-
Autor(es): dc.creatorAlves, G. R.-
Autor(es): dc.creatorFidalgo, A. V.-
Autor(es): dc.creatorFelgueiras, M. C.-
Autor(es): dc.creatorCosta, R.-
Data de aceite: dc.date.accessioned2022-02-22T00:58:29Z-
Data de disponibilização: dc.date.available2022-02-22T00:58:29Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/210078-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/210078-
Descrição: dc.descriptionA 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.-
Descrição: dc.descriptionFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)-
Descrição: dc.descriptionSao Paulo State Univ, Dept Elect Engn, Ilha Solteira, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ, Dept Elect Engn, Ilha Solteira, SP, Brazil-
Descrição: dc.descriptionFAPESP: 2018/14200-5-
Formato: dc.format6-
Idioma: dc.languageen-
Publicador: dc.publisherIeee-
Relação: dc.relation2020 Xiv Technologies Applied To Electronics Teaching Conference (taee2020)-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectComputational simulation-
Palavras-chave: dc.subjectRobotics course-
Palavras-chave: dc.subjectVirtual mobile robot-
Palavras-chave: dc.subjectMultilayer perceptron neural networks-
Título: dc.titleSimulator of mobile robots controlled by Artificial Neural Networks to learning courses in robotics-
Aparece nas coleções:Repositório Institucional - Unesp

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