• DocumentCode
    2865191
  • Title

    Without Local Minimum by Using Make Circular Obstacles

  • Author

    Nooraliei, Amir

  • Author_Institution
    Islamic Azad Univ. - Hamedan branch, Hamedan, Iran
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper presents a new methods for having environment without local minimum. Artificial potential fields used for path planning. We use a workspace image then determine and change shape of obstacles to circular obstacles by using image processing algorithms. This method cause to have an environment without local minimum. Furthermore the simulation results show how this method improved algorithm and robot did not trap in local minimum.
  • Keywords
    image processing; mobile robots; path planning; artificial potential fields; circular obstacles; image processing algorithms; local minimum; path planning; Circuit simulation; Gold; Heuristic algorithms; Image processing; Orbital robotics; Partitioning algorithms; Path planning; Robots; Shape; Simulated annealing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5366307
  • Filename
    5366307