Neuro-Controllers, scalability and adaptation

Autores
Fernández León, José A.; Goñi, Oscar Enrique; Acosta, Gerardo; Mayosky, Miguel Angel
Año de publicación
2006
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
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.
Red de Universidades con Carreras en Informática (RedUNCI)
Materia
Ciencias Informáticas
Robotics
Robótica
evolutionary robotics
adaptative systems
scalability
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/22665
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/22665
network_acronym_str SEDICI
repository_id_str 1329
network_name_str SEDICI (UNLP)
spelling Neuro-Controllers, scalability and adaptationFernández León, José A.Goñi, Oscar EnriqueAcosta, GerardoMayosky, Miguel AngelCiencias InformáticasRoboticsRobóticaevolutionary roboticsadaptative systemsscalabilityA 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.Red de Universidades con Carreras en Informática (RedUNCI)2006-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf1279-1288http://sedici.unlp.edu.ar/handle/10915/22665enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-03T10:27:57Zoai:sedici.unlp.edu.ar:10915/22665Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-03 10:27:57.826SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Neuro-Controllers, scalability and adaptation
title Neuro-Controllers, scalability and adaptation
spellingShingle Neuro-Controllers, scalability and adaptation
Fernández León, José A.
Ciencias Informáticas
Robotics
Robótica
evolutionary robotics
adaptative systems
scalability
title_short Neuro-Controllers, scalability and adaptation
title_full Neuro-Controllers, scalability and adaptation
title_fullStr Neuro-Controllers, scalability and adaptation
title_full_unstemmed Neuro-Controllers, scalability and adaptation
title_sort Neuro-Controllers, scalability and adaptation
dc.creator.none.fl_str_mv Fernández León, José A.
Goñi, Oscar Enrique
Acosta, Gerardo
Mayosky, Miguel Angel
author Fernández León, José A.
author_facet Fernández León, José A.
Goñi, Oscar Enrique
Acosta, Gerardo
Mayosky, Miguel Angel
author_role author
author2 Goñi, Oscar Enrique
Acosta, Gerardo
Mayosky, Miguel Angel
author2_role author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Robotics
Robótica
evolutionary robotics
adaptative systems
scalability
topic Ciencias Informáticas
Robotics
Robótica
evolutionary robotics
adaptative systems
scalability
dc.description.none.fl_txt_mv 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.
Red de Universidades con Carreras en Informática (RedUNCI)
description 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.
publishDate 2006
dc.date.none.fl_str_mv 2006-10
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/22665
url http://sedici.unlp.edu.ar/handle/10915/22665
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
dc.format.none.fl_str_mv application/pdf
1279-1288
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.13397

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