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Triangular geometry based optimal motion planning using RRT*-motion planner
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Qureshi, Ahmed Hussain | - |
| dc.contributor.author | Mumtaz,Saba | - |
| dc.contributor.author | Iqbal, Khawaja Fahad | - |
| dc.contributor.author | Ayaz, Yasar | - |
| dc.contributor.author | Muhammad, Mannan Saeed | - |
| dc.contributor.author | Hasan, Osman | - |
| dc.contributor.author | Kim, Whoi Yul | - |
| dc.contributor.author | Ra, Moonsoo | - |
| dc.date.accessioned | 2024-12-20T06:24:07Z | - |
| dc.date.available | 2024-12-20T06:24:07Z | - |
| dc.date.issued | 2014-06 | - |
| dc.identifier.issn | 0000-0000 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/202653 | - |
| dc.description.abstract | RRT* 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.extent | 6 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
| dc.title | Triangular geometry based optimal motion planning using RRT*-motion planner | - |
| dc.type | Article | - |
| dc.publisher.location | 미국 | - |
| dc.identifier.doi | 10.1109/AMC.2014.6823312 | - |
| dc.identifier.scopusid | 2-s2.0-84903193305 | - |
| dc.identifier.bibliographicCitation | International Workshop on Advanced Motion Control, AMC, pp 380 - 385 | - |
| dc.citation.title | International Workshop on Advanced Motion Control, AMC | - |
| dc.citation.startPage | 380 | - |
| dc.citation.endPage | 385 | - |
| dc.type.docType | Conference Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.subject.keywordPlus | Algorithms | - |
| dc.subject.keywordPlus | Geometry | - |
| dc.subject.keywordPlus | Motion control | - |
| dc.subject.keywordPlus | Collision-free paths | - |
| dc.subject.keywordPlus | Geometrical methods | - |
| dc.subject.keywordPlus | Improved convergence | - |
| dc.subject.keywordPlus | Number of iterations | - |
| dc.subject.keywordPlus | Optimal motion planning | - |
| dc.subject.keywordPlus | Path-finding algorithms | - |
| dc.subject.keywordPlus | RRT | - |
| dc.subject.keywordPlus | Triangular geometry | - |
| dc.subject.keywordPlus | Motion planning | - |
| dc.subject.keywordAuthor | Directed sampling | - |
| dc.subject.keywordAuthor | RRT* | - |
| dc.subject.keywordAuthor | Sampling based optimal motion planning | - |
| dc.identifier.url | https://ieeexplore.ieee.org/document/6823312 | - |
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