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Variable-polygon-based planning method for reconfigurable topology truss robot

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dc.contributor.authorWon, Jeeho-
dc.contributor.authorBae, Jangho-
dc.contributor.authorYim, Mark-
dc.contributor.authorSeo, Taewon-
dc.date.accessioned2025-09-08T07:00:25Z-
dc.date.available2025-09-08T07:00:25Z-
dc.date.issued2025-12-
dc.identifier.issn0921-8890-
dc.identifier.issn1872-793X-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/208675-
dc.description.abstractThis paper proposes a variable-polygon-based random tree search algorithm with a variable polygon shape (VPRT) for Variable Topology Truss (VTT). This algorithm is a modified version of the previously proposed polygon-based random tree search expanded to the use of variable polygons other than triangles. The algorithm defines a new foot placement for polygons and subsequently determines the lowest cost required to complete the locomotion path of a VTT with non-triangular faces. Using this algorithm, the path planning of a VTT with any type of polygon can be performed. The performance of the algorithm was validated using simulated results with reference polyhedrons.-
dc.format.extent7-
dc.language영어-
dc.language.isoENG-
dc.publisherElsevier BV-
dc.titleVariable-polygon-based planning method for reconfigurable topology truss robot-
dc.typeArticle-
dc.publisher.location네델란드-
dc.identifier.doi10.1016/j.robot.2025.105141-
dc.identifier.scopusid2-s2.0-105012445573-
dc.identifier.wosid001547954100001-
dc.identifier.bibliographicCitationRobotics and Autonomous Systems, v.194, pp 1 - 7-
dc.citation.titleRobotics and Autonomous Systems-
dc.citation.volume194-
dc.citation.startPage1-
dc.citation.endPage7-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaAutomation & Control Systems-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaRobotics-
dc.relation.journalWebOfScienceCategoryAutomation & Control Systems-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryRobotics-
dc.subject.keywordPlusROLLING LOCOMOTION-
dc.subject.keywordPlusGEOMETRY TRUSS-
dc.subject.keywordPlusTREE-
dc.subject.keywordAuthorPathfinding-
dc.subject.keywordAuthorVariable Geometry Truss-
dc.subject.keywordAuthorRapidly-exploring random tree-
dc.subject.keywordAuthorAlgorithm-
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0921889025002386?via%3Dihub-
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