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Conference Paper: A hybrid automata approach for robotic perceptive control and planning

TitleA hybrid automata approach for robotic perceptive control and planning
Authors
KeywordsUnexpected events
Hybrid automata
Perceptive reference
Issue Date2005
Citation
IFAC Proceedings Volumes (IFAC-PapersOnline), 2005, v. 16, p. 778-783 How to Cite?
AbstractThis paper presents a hybrid automata approach for modeling and analyzing the robotic motion planning and control. Robotic systems acquire data from perceptive sensors and respond to the perceptions through decision and control process. The hybrid perceptive framework is built based on continuous and discrete perceptive references. The robot can plan and modifying the original path through switching the continuous controller at discrete level. The hybrid system is stable in switching. The evolution of the hybrid references can be guaranteed during the unexpected events that can block the continuous or discrete references. Copyright © 2005 IFAC.
Persistent Identifierhttp://hdl.handle.net/10722/213190
ISSN

 

DC FieldValueLanguage
dc.contributor.authorSun, Yu-
dc.contributor.authorXi, Ning-
dc.date.accessioned2015-07-28T04:06:27Z-
dc.date.available2015-07-28T04:06:27Z-
dc.date.issued2005-
dc.identifier.citationIFAC Proceedings Volumes (IFAC-PapersOnline), 2005, v. 16, p. 778-783-
dc.identifier.issn1474-6670-
dc.identifier.urihttp://hdl.handle.net/10722/213190-
dc.description.abstractThis paper presents a hybrid automata approach for modeling and analyzing the robotic motion planning and control. Robotic systems acquire data from perceptive sensors and respond to the perceptions through decision and control process. The hybrid perceptive framework is built based on continuous and discrete perceptive references. The robot can plan and modifying the original path through switching the continuous controller at discrete level. The hybrid system is stable in switching. The evolution of the hybrid references can be guaranteed during the unexpected events that can block the continuous or discrete references. Copyright © 2005 IFAC.-
dc.languageeng-
dc.relation.ispartofIFAC Proceedings Volumes (IFAC-PapersOnline)-
dc.subjectUnexpected events-
dc.subjectHybrid automata-
dc.subjectPerceptive reference-
dc.titleA hybrid automata approach for robotic perceptive control and planning-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.scopuseid_2-s2.0-79960716328-
dc.identifier.volume16-
dc.identifier.spage778-
dc.identifier.epage783-

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