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Neural control of an autonomous robot

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dc.contributor.authorPinto, Adriano
dc.contributor.authorBarbosa, Ramiro S.
dc.contributor.authorSilva, Manuel Santos
dc.date.accessioned2015-12-15T15:33:38Z
dc.date.available2015-12-15T15:33:38Z
dc.date.issued2014
dc.description.abstractThis article aims to apply the concepts associated with artificial neural networks (ANN) in the control of an autonomous robot system that is intended to be used in competitions of robots. The robot was tested in several arbitrary paths in order to verify its effectiveness. The results show that the robot performed the tasks with success. Moreover, in the case of arbitrary paths the ANN control outperforms other methodologies, such as fuzzy logic control (FLC).pt_PT
dc.identifier.doi10.1109/ICARSC.2014.6849809pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/7189
dc.language.isoengpt_PT
dc.publisherIEEEpt_PT
dc.relation.ispartofseriesICARSC;2014
dc.relation.publisherversionhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6849809pt_PT
dc.subjectNeurocontrollerspt_PT
dc.subjectRobotspt_PT
dc.titleNeural control of an autonomous robotpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceEspinhopt_PT
oaire.citation.endPage344pt_PT
oaire.citation.startPage339pt_PT
oaire.citation.titleAutonomous Robot Systems and Competitions (ICARSC), 2014 IEEE International Conference onpt_PT
person.familyNameBarbosa
person.givenNameRamiro
person.identifier156328
person.identifier.ciencia-id9F1E-CA64-4C8B
person.identifier.orcid0000-0001-7410-8872
person.identifier.scopus-author-id8582675300
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationae867f98-4683-47cf-910d-16d5cd4517ba
relation.isAuthorOfPublication.latestForDiscoveryae867f98-4683-47cf-910d-16d5cd4517ba

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