Triangular geometry based optimal motion planning using RRT*-motion planner
- Authors
- Qureshi, Ahmed Hussain; Mumtaz,Saba; Iqbal, Khawaja Fahad; Ayaz, Yasar; Muhammad, Mannan Saeed; Hasan, Osman; Kim, Whoi Yul; Ra, Moonsoo
- Issue Date
- Jun-2014
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Keywords
- Directed sampling; RRT*; Sampling based optimal motion planning
- Citation
- International Workshop on Advanced Motion Control, AMC, pp 380 - 385
- Pages
- 6
- Indexed
- SCOPUS
- Journal Title
- International Workshop on Advanced Motion Control, AMC
- Start Page
- 380
- End Page
- 385
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/202653
- DOI
- 10.1109/AMC.2014.6823312
- ISSN
- 0000-0000
- 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*.
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