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

Authors
Qureshi, Ahmed HussainMumtaz,SabaIqbal, Khawaja FahadAyaz, YasarMuhammad, Mannan SaeedHasan, OsmanKim, Whoi YulRa, 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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