A Classifier System In Real Applications For Robot Navigation

dc.creatorCazangi R.R.
dc.creatorVon Zuben F.J.
dc.creatorFigueiredo M.
dc.date2003
dc.date2015-06-30T17:32:27Z
dc.date2015-11-26T14:11:39Z
dc.date2015-06-30T17:32:27Z
dc.date2015-11-26T14:11:39Z
dc.date.accessioned2018-03-28T21:12:13Z
dc.date.available2018-03-28T21:12:13Z
dc.identifier2003 Congress On Evolutionary Computation, Cec 2003 - Proceedings. Ieee Computer Society, v. 1, n. , p. 574 - 580, 2003.
dc.identifier10.1109/CEC.2003.1299627
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-32444437215&partnerID=40&md5=383b49c492f9abb4b3fb34783efa6173
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/102543
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/102543
dc.identifier2-s2.0-32444437215
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1241788
dc.descriptionThis paper presents an autonomous evolutionary system applied to control a mobile robot in unknown environments. The navigation system learns efficiently to deal with situations where the robot must capture targets avoiding collisions with obstacles. Toward this end, robot direction and speed must be properly defined. The evolutionary approach is based on a version of classifier systems, responsible for the proposition of a competitive process involving rules of elementary behaviour. A virtual environment is used to evolve the controller, a Khepera II robot is submitted to real navigation tasks, with no significant degradation in performance. As an additional experiment, the controller is also evolved in a real environment, and validated in a different and more complex environment, not previously experimented, attesting the generalization capability of the proposal. © 2003 IEEE.
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dc.languageen
dc.publisherIEEE Computer Society
dc.relation2003 Congress on Evolutionary Computation, CEC 2003 - Proceedings
dc.rightsfechado
dc.sourceScopus
dc.titleA Classifier System In Real Applications For Robot Navigation
dc.typeActas de congresos


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