• DocumentCode
    620194
  • Title

    A novel potential field method for path planning of mobile robot

  • Author

    Huajian Zhu ; Junzheng Wang ; Jing Li

  • Author_Institution
    Key Lab. of Complex Syst. Intell. Control & Decision, Beijing Inst. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    2811
  • Lastpage
    2814
  • Abstract
    This paper presents a novel artificial potential field method for path planning of mobile robot. On the basis of analyzing traditional artificial potential field method local minimum problems, which cause failure of path planning, a potential field energy minimum path is created directly by placing dummy goals. Assuming that the path consists of many small pieces, every small piece is called a path factor. Coordinate of each path factor can be obtained by solving a set of equations. Each point on the path will be the potential energy minimum. Robots head to the goal along the position of each path factor. This new method solves the local minimum problem, as well as the destination unreachable problem and the oscillatory movement problem. The simulation results show that the new method proposed is correct and effective.
  • Keywords
    mobile robots; path planning; destination unreachable problem; dummy goals; mobile robot; novel artificial potential field method; oscillatory movement problem; path factor; path planning; Electronic mail; Intelligent control; Laboratories; MATLAB; Mobile robots; Path planning; Mobile Robot; Path Factor; Path Planning; Potential Field;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561423
  • Filename
    6561423