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Variable-polygon-based planning method for reconfigurable topology truss robot
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Won, Jeeho | - |
| dc.contributor.author | Bae, Jangho | - |
| dc.contributor.author | Yim, Mark | - |
| dc.contributor.author | Seo, Taewon | - |
| dc.date.accessioned | 2025-09-08T07:00:25Z | - |
| dc.date.available | 2025-09-08T07:00:25Z | - |
| dc.date.issued | 2025-12 | - |
| dc.identifier.issn | 0921-8890 | - |
| dc.identifier.issn | 1872-793X | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/208675 | - |
| dc.description.abstract | This 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.extent | 7 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Elsevier BV | - |
| dc.title | Variable-polygon-based planning method for reconfigurable topology truss robot | - |
| dc.type | Article | - |
| dc.publisher.location | 네델란드 | - |
| dc.identifier.doi | 10.1016/j.robot.2025.105141 | - |
| dc.identifier.scopusid | 2-s2.0-105012445573 | - |
| dc.identifier.wosid | 001547954100001 | - |
| dc.identifier.bibliographicCitation | Robotics and Autonomous Systems, v.194, pp 1 - 7 | - |
| dc.citation.title | Robotics and Autonomous Systems | - |
| dc.citation.volume | 194 | - |
| dc.citation.startPage | 1 | - |
| dc.citation.endPage | 7 | - |
| dc.type.docType | Article | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Automation & Control Systems | - |
| dc.relation.journalResearchArea | Computer Science | - |
| dc.relation.journalResearchArea | Robotics | - |
| dc.relation.journalWebOfScienceCategory | Automation & Control Systems | - |
| dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
| dc.relation.journalWebOfScienceCategory | Robotics | - |
| dc.subject.keywordPlus | ROLLING LOCOMOTION | - |
| dc.subject.keywordPlus | GEOMETRY TRUSS | - |
| dc.subject.keywordPlus | TREE | - |
| dc.subject.keywordAuthor | Pathfinding | - |
| dc.subject.keywordAuthor | Variable Geometry Truss | - |
| dc.subject.keywordAuthor | Rapidly-exploring random tree | - |
| dc.subject.keywordAuthor | Algorithm | - |
| dc.identifier.url | https://www.sciencedirect.com/science/article/pii/S0921889025002386?via%3Dihub | - |
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