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

  • Qureshi, Ahmed Hussain
  • Mumtaz,Saba
  • Iqbal, Khawaja Fahad
  • Ayaz, Yasar
  • Muhammad, Mannan Saeed
  • 외 3명
Citations

SCOPUS

19

초록

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*.

키워드

Directed samplingRRT*Sampling based optimal motion planningAlgorithmsGeometryMotion controlCollision-free pathsGeometrical methodsImproved convergenceNumber of iterationsOptimal motion planningPath-finding algorithmsRRTTriangular geometryMotion planning
제목
Triangular geometry based optimal motion planning using RRT*-motion planner
저자
Qureshi, Ahmed HussainMumtaz,SabaIqbal, Khawaja FahadAyaz, YasarMuhammad, Mannan SaeedHasan, OsmanKim, Whoi YulRa, Moonsoo
DOI
10.1109/AMC.2014.6823312
발행일
2014-06
유형
Conference Paper
저널명
International Workshop on Advanced Motion Control, AMC
페이지
380 ~ 385