Neuro-Controllers, scalability and adaptation
cic.isFulltext | true | es |
cic.isPeerReviewed | true | es |
cic.lugarDesarrollo | Universidad Nacional de La Plata | es |
cic.version | info:eu-repo/semantics/publishedVersion | es |
dc.date.accessioned | 2016-08-03T13:21:39Z | |
dc.date.available | 2016-08-03T13:21:39Z | |
dc.identifier.uri | https://digital.cic.gba.gob.ar/handle/11746/3277 | |
dc.title | Neuro-Controllers, scalability and adaptation | en |
dc.type | Documento de conferencia | es |
dcterms.abstract | A 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.author | Fernández León, José A. | es |
dcterms.creator.author | Goñi, Oscar Enrique | es |
dcterms.creator.author | Acosta, Gerardo | es |
dcterms.creator.author | Mayosky, Miguel Angel | es |
dcterms.extent | p. 1279-1288 | es |
dcterms.identifier.url | Documento completo | es |
dcterms.isPartOf.series | XII Congreso Argentino de Ciencias de la Computación (CACIC 2006) | es |
dcterms.issued | 2006-10 | |
dcterms.language | Inglés | es |
dcterms.license | Attribution 4.0 International (BY 4.0) | es |
dcterms.subject | evolutionary robotics | en |
dcterms.subject | adaptative systems | en |
dcterms.subject | scalability | en |
dcterms.subject | Robótica | es |
dcterms.subject.materia | Ciencias de la Computación | es |
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