Neurogenetic algorithm applied to Route Planning for Autonomous Mobile Robots

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.creatorBruno, Diego Renan-
Autor(es): dc.creatorMarranghello, Norian [UNESP]-
Autor(es): dc.creatorOsorio, Fernando Santos-
Autor(es): dc.creatorPereira, Aledir Silveira [UNESP]-
Autor(es): dc.creatorIEEE-
Data de aceite: dc.date.accessioned2022-02-22T01:01:55Z-
Data de disponibilização: dc.date.available2022-02-22T01:01:55Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2018-01-01-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/210530-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/210530-
Descrição: dc.descriptionWe developed a bioinspired algorithm to assist in the navigation of an autonomous mobile robot in dynamic environments. The robotic controller uses both an Artificial Neural Network (ANN) and a Genetic Algorithm (GA), aided by a low computational cost vision system. The controller uses the vision system and the ANN to detect and recognize obstacles found in the robot's path. If the object is in the controller's knowledge bank a previously registered deviation solution is applied. Otherwise, the GA must optimize a new route alternative. We modeled and simulated the controller using robot's simulator V-REP, and the Computer Vision System using Scilab software. The contribution of this paper is the development of a hybrid neuro-genetic algorithm to control the navigation of autonomous mobile robots in dynamic environments.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionLRM (Mobile Robotics Laboratory from ICMC-USP)-
Descrição: dc.descriptionUniv Sao Paulo, Sao Paulo, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ UNESP, Sao Paulo, SP, Brazil-
Descrição: dc.descriptionSao Paulo State Univ UNESP, Sao Paulo, SP, Brazil-
Formato: dc.format8-
Idioma: dc.languageen-
Publicador: dc.publisherIeee-
Relação: dc.relation2018 International Joint Conference On Neural Networks (ijcnn)-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectMobile robot-
Palavras-chave: dc.subjectNeural network-
Palavras-chave: dc.subjectGenetic algorithm-
Palavras-chave: dc.subjectGlobal path planning-
Título: dc.titleNeurogenetic algorithm applied to Route Planning for Autonomous Mobile Robots-
Aparece nas coleções:Repositório Institucional - Unesp

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