• DocumentCode
    146363
  • Title

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

  • Author

    Qureshi, Ahmed Hussain ; Mumtaz, Sami ; Iqbal, Khawaja Fahad ; Ayaz, Y. ; Muhammad, Mannan Saeed ; Hasan, Osman ; Whoi Yul Kim ; Moonsoo Ra

  • Author_Institution
    Robot. & Intell. Syst. Eng. (RISE) Lab., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
  • fYear
    2014
  • fDate
    14-16 March 2014
  • Firstpage
    380
  • Lastpage
    385
  • 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*.
  • Keywords
    collision avoidance; convergence of numerical methods; geometry; iterative methods; mobile robots; RRT path finding algorithm; RRT*-motion planner; collision-free path; geometrical environment; high memory utilization; improved convergence rate; initial obstacle-free path; slow processing rate; triangular geometerised-RRT*; triangular geometry based optimal motion planning; Planning; Simulation; Zinc; Directed Sampling; RRT*; Sampling based Optimal Motion Planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Motion Control (AMC),2014 IEEE 13th International Workshop on
  • Conference_Location
    Yokohama
  • Type

    conf

  • DOI
    10.1109/AMC.2014.6823312
  • Filename
    6823312