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Conference Paper: Self-learning fuzzy navigation of mobile vehicle

TitleSelf-learning fuzzy navigation of mobile vehicle
Authors
Yung, NHCYe, C
KeywordsCommunications
Issue Date1996
PublisherIEEE.
Citation
International Conference On Signal Processing Proceedings, Icsp, 1996, v. 2, p. 1465-1468 How to Cite?
DOI: http://dx.doi.org/10.1109/ICSIGP.1996.571139
AbstractThis paper describes a self-learning navigation method which utilizes fuzzy logic and reinforcement learning for navigation of a mobile vehicle in uncertain environments. The proposed navigator consists of three modules: Obstacle Avoidance, Move to Goal and Fuzzy Behavior Supervisor. The fuzzy rules of the on-line obstacle avoidance are learnt through reinforcement learning. A new and powerful method is proposed to constructed these rules automatically. The effectiveness of the learning method and the whole navigator are verified by simulation.
Persistent Identifierhttp://hdl.handle.net/10722/45998

 

DC FieldValueLanguage
dc.contributor.authorYung, NHCen_HK
dc.contributor.authorYe, Cen_HK
dc.date.accessioned2007-10-30T06:40:17Z-
dc.date.available2007-10-30T06:40:17Z-
dc.date.issued1996en_HK
dc.identifier.citationInternational Conference On Signal Processing Proceedings, Icsp, 1996, v. 2, p. 1465-1468en_HK
dc.identifier.urihttp://hdl.handle.net/10722/45998-
dc.description.abstractThis paper describes a self-learning navigation method which utilizes fuzzy logic and reinforcement learning for navigation of a mobile vehicle in uncertain environments. The proposed navigator consists of three modules: Obstacle Avoidance, Move to Goal and Fuzzy Behavior Supervisor. The fuzzy rules of the on-line obstacle avoidance are learnt through reinforcement learning. A new and powerful method is proposed to constructed these rules automatically. The effectiveness of the learning method and the whole navigator are verified by simulation.en_HK
dc.format.extent380187 bytes-
dc.format.extent10863 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofInternational Conference on Signal Processing Proceedings, ICSPen_HK
dc.rights©1996 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectCommunicationsen_HK
dc.titleSelf-learning fuzzy navigation of mobile vehicleen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailYung, NHC:nyung@eee.hku.hken_HK
dc.identifier.authorityYung, NHC=rp00226en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/ICSIGP.1996.571139en_HK
dc.identifier.scopuseid_2-s2.0-0030416219en_HK
dc.identifier.hkuros26726-
dc.identifier.volume2en_HK
dc.identifier.spage1465en_HK
dc.identifier.epage1468en_HK
dc.identifier.scopusauthoridYung, NHC=7003473369en_HK
dc.identifier.scopusauthoridYe, C=7202201245en_HK

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