Neuro-Evolution of Mobile Robot Controller

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dc.contributor.authorSekaj, Ivan
dc.contributor.authorCíferský, Ladislav
dc.contributor.authorHvozdík, Milan
dc.coverage.issue1cs
dc.coverage.volume25cs
dc.date.accessioned2020-05-05T07:21:09Z
dc.date.available2020-05-05T07:21:09Z
dc.date.issued2019-06-24cs
dc.description.abstractWe present a neuro-evolution design for control of a mobile robot in 2D simulation environment. The mobile robot is moving in unknown environment with obstacles from the start position to the goal position. The trajectory of the robot is controlled by a neural network – based controller which inputs are information from several laser beam sensors. The learning of the neural network controller is based on an evolutionary approach, which is provided by genetic algorithm.en
dc.formattextcs
dc.format.extent39-42cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMendel. 2018 vol. 25, č. 1, s. 39-42. ISSN 1803-3814cs
dc.identifier.doi10.13164/mendel.2019.1.039en
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttp://hdl.handle.net/11012/186979
dc.language.isoencs
dc.publisherInstitute of Automation and Computer Science, Brno University of Technologycs
dc.relation.ispartofMendelcs
dc.relation.urihttps://mendel-journal.org/index.php/mendel/article/view/76cs
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0en
dc.subjectmobile roboten
dc.subject2D environmenten
dc.subjectneural networken
dc.subjectevolutionary-based learningen
dc.subjectgenetic algorithmen
dc.titleNeuro-Evolution of Mobile Robot Controlleren
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
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