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dc.contributor.authorSong, KTen_US
dc.contributor.authorSheen, LHen_US
dc.date.accessioned2014-12-08T15:45:33Z-
dc.date.available2014-12-08T15:45:33Z-
dc.date.issued2000-03-16en_US
dc.identifier.issn0165-0114en_US
dc.identifier.urihttp://dx.doi.org/10.1016/S0165-0114(97)00401-6en_US
dc.identifier.urihttp://hdl.handle.net/11536/30649-
dc.description.abstractA novel pattern recognition approach to reactive navigation of a mobile robot is presented in this paper. A heuristic fuzzy-neuro network is developed for pattern-mapping between quantized ultrasonic sensory data and velocity commands to the robot. The design goal was to enable an autonomous mobile robot to navigate safely and efficiently to a target position in a previously unknown environment. Useful heuristic rules were combined with the fuzzy Kohonen clustering network (FKCN) to build the desired mapping between perception and motion. This method provides much faster response to unexpected events and is less sensitive to sensor misreading than conventional approaches. It allows continuous, fast motion of the mobile robot without any need to stop for obstacles. The effectiveness of the proposed method is demonstrated in a series of practical tests on our experimental mobile robot. (C) 2000 Elsevier Science B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectpattern recognitionen_US
dc.subjectfuzzy navigationen_US
dc.subjectfuzzy-neuro networken_US
dc.subjectmobile robotsen_US
dc.titleHeuristic fuzzy-neuro network and its application to reactive navigation of a mobile roboten_US
dc.typeArticleen_US
dc.identifier.doi10.1016/S0165-0114(97)00401-6en_US
dc.identifier.journalFUZZY SETS AND SYSTEMSen_US
dc.citation.volume110en_US
dc.citation.issue3en_US
dc.citation.spage331en_US
dc.citation.epage340en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000084910900002-
dc.citation.woscount42-
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