Neuro-Controllers, scalability and adaptation

cic.isFulltexttruees
cic.isPeerReviewedtruees
cic.lugarDesarrolloUniversidad Nacional de La Plata es
cic.versioninfo:eu-repo/semantics/publishedVersiones
dc.date.accessioned2016-08-03T13:21:39Z
dc.date.available2016-08-03T13:21:39Z
dc.identifier.urihttps://digital.cic.gba.gob.ar/handle/11746/3277
dc.titleNeuro-Controllers, scalability and adaptationen
dc.typeDocumento de conferenciaes
dcterms.abstractA Layered Evolution (LE) paradigm based method for the generation of a neuron-controller is developed and verified through simulations and experimentally. It is intended to solve scalability issues in systems with many behavioral modules. Each and every module is a genetically evolved neuro-controller specialized in performing a different task. The main goal is to reach a combination of different basic behavioral elements using different artificial neural-network paradigms concerning mobile robot navigation in an unknown environment. The obtained controller is evaluated over different scenarios in a structured environment, ranging from a detailed simulation model to a real experiment. Finally most important implies are shown through several focuses.en
dcterms.creator.authorFernández León, José A.es
dcterms.creator.authorGoñi, Oscar Enriquees
dcterms.creator.authorAcosta, Gerardoes
dcterms.creator.authorMayosky, Miguel Angeles
dcterms.extentp. 1279-1288es
dcterms.identifier.urlDocumento completoes
dcterms.isPartOf.seriesXII Congreso Argentino de Ciencias de la Computación (CACIC 2006)es
dcterms.issued2006-10
dcterms.languageIngléses
dcterms.licenseAttribution 4.0 International (BY 4.0)es
dcterms.subjectevolutionary roboticsen
dcterms.subjectadaptative systemsen
dcterms.subjectscalabilityen
dcterms.subjectRobóticaes
dcterms.subject.materiaCiencias de la Computaciónes

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