• DocumentCode
    3243116
  • Title

    A path planning algorithm using artificial potential field based on probability map

  • Author

    Kim, Min-Ho ; Heo, Jung-Hun ; Wei, Yuanlong ; Lee, Min-Cheol

  • Author_Institution
    Grad. Sch. of Mech. & Intell. Syst. Eng., Pusan Nat. Univ., Busan, South Korea
  • fYear
    2011
  • fDate
    23-26 Nov. 2011
  • Firstpage
    41
  • Lastpage
    43
  • Abstract
    Path planning problem is the major issue of the control of mobile robot. Among the path planning methods the artificial potential field theory is widely used for mobile robots, because it provides simple and effective motion control input. But sometimes it is hard to detect exact obstacle shape, because some obstacle can move itself, thus we can detect its probability only. So we suggest the path planning method using potential field with the probability information. After that we simulate our algorithm and show the results.
  • Keywords
    collision avoidance; mobile robots; motion control; probability; artificial potential field theory; exact obstacle shape dtection; mobile robot; motion control input; path planning algorithm; probability map; Force; Mobile robots; Path planning; Probability density function; Real time systems; Vectors; Artificial Potential Field; Mobile Robot; Path Planning; Probability Map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on
  • Conference_Location
    Incheon
  • Print_ISBN
    978-1-4577-0722-3
  • Type

    conf

  • DOI
    10.1109/URAI.2011.6145929
  • Filename
    6145929