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Triangular geometry based optimal motion planning using RRT*-motion planner

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dc.contributor.authorQureshi, Ahmed Hussain-
dc.contributor.authorMumtaz,Saba-
dc.contributor.authorIqbal, Khawaja Fahad-
dc.contributor.authorAyaz, Yasar-
dc.contributor.authorMuhammad, Mannan Saeed-
dc.contributor.authorHasan, Osman-
dc.contributor.authorKim, Whoi Yul-
dc.contributor.authorRa, Moonsoo-
dc.date.accessioned2024-12-20T06:24:07Z-
dc.date.available2024-12-20T06:24:07Z-
dc.date.issued2014-06-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/202653-
dc.description.abstractRRT* is a recent and improved variant of the RRT path finding algorithm. While RRT concentrates on simply finding an initial obstacle-free path, RRT* guarantees eventual convergence to an optimum, collision-free path for any given geometrical environment. On the other hand, the main limitations of RRT* include its slow processing rate and high memory utilization due to the large number of iterations required to achieve optimal path solution. This paper presents Triangular Geometerised-RRT* (TG-RRT*) which incorporates Triangular geometrical methods in the RRT* algorithm and improves its processing time by decreasing the number of iterations required for optimal solution. Simulation results under different environments demonstrate an improved convergence rate of TG-RRT*, in comparison with RRT*.-
dc.format.extent6-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleTriangular geometry based optimal motion planning using RRT*-motion planner-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/AMC.2014.6823312-
dc.identifier.scopusid2-s2.0-84903193305-
dc.identifier.bibliographicCitationInternational Workshop on Advanced Motion Control, AMC, pp 380 - 385-
dc.citation.titleInternational Workshop on Advanced Motion Control, AMC-
dc.citation.startPage380-
dc.citation.endPage385-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusAlgorithms-
dc.subject.keywordPlusGeometry-
dc.subject.keywordPlusMotion control-
dc.subject.keywordPlusCollision-free paths-
dc.subject.keywordPlusGeometrical methods-
dc.subject.keywordPlusImproved convergence-
dc.subject.keywordPlusNumber of iterations-
dc.subject.keywordPlusOptimal motion planning-
dc.subject.keywordPlusPath-finding algorithms-
dc.subject.keywordPlusRRT-
dc.subject.keywordPlusTriangular geometry-
dc.subject.keywordPlusMotion planning-
dc.subject.keywordAuthorDirected sampling-
dc.subject.keywordAuthorRRT*-
dc.subject.keywordAuthorSampling based optimal motion planning-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/6823312-
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