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dc.contributor.author김영준*
dc.date.accessioned2016-08-28T11:08:21Z-
dc.date.available2016-08-28T11:08:21Z-
dc.date.issued2010*
dc.identifier.isbn9783642174513*
dc.identifier.issn1610-7438*
dc.identifier.otherOAK-13506*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/229490-
dc.description.abstractWe introduce a novel proximity query, called connection collision query (CCQ), and use it for efficient and exact local planning in sampling-based motion planners. Given two collision-free configurations, CCQ checks whether these configurations can be connected by a given continuous path that either lies completely in the free space or penetrates any obstacle by at most ε, a given threshold. Our approach is general, robust, and can handle different continuous path formulations. We have integrated the CCQ algorithm with sampling-based motion planners and can perform reliable local planning queries with little performance degradation, as compared to prior methods. Moreover, the CCQ-based exact local planner is about an order of magnitude faster than prior exact local planning algorithms. © 2010 Springer-Verlag Berlin Heidelberg.*
dc.languageEnglish*
dc.titleCCQ: Efficient local planning using connection collision query*
dc.typeConference Paper*
dc.relation.issueSTAR*
dc.relation.volume68*
dc.relation.indexSCOPUS*
dc.relation.startpage229*
dc.relation.lastpage247*
dc.relation.journaltitleSpringer Tracts in Advanced Robotics*
dc.identifier.doi10.1007/978-3-642-17452-0_14*
dc.identifier.scopusid2-s2.0-78650137331*
dc.author.googleTang M.*
dc.author.googleKim Y.J.*
dc.author.googleManocha D.*
dc.contributor.scopusid김영준(56223507100)*
dc.date.modifydate20240322133440*
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인공지능대학 > 컴퓨터공학과 > Journal papers
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