• DocumentCode
    1861968
  • Title

    A new cooperative multi-robot path planning in dynamic environment

  • Author

    Xiao Guo-bao ; Yan, Xuan-hui

  • Author_Institution
    School of Mathematics and Computer Science, Fujian Normal University, Fuzhou, 350007, China
  • fYear
    2012
  • fDate
    3-5 March 2012
  • Firstpage
    159
  • Lastpage
    165
  • Abstract
    Dynamic path planning is a fundamental and difficult problem in mobile robotics. This paper presents a new approach of multi-robot path planning in dynamic environments, by using cooperative co-evolution and APF algorithm. The key ideal of our approach is to combine with global and local path planning, and to make fully use of centralized and distributed approach via information fusion mechanism. The proposed approach has been simulated in the TeamBots (a popular tool of multi-robot simulation). The results of dynamic simulation show the efficiency of the algorithm.
  • Keywords
    artificial potential field; co-evolution; dynamic environment; multi-robot path planning;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Automatic Control and Artificial Intelligence (ACAI 2012), International Conference on
  • Conference_Location
    Xiamen
  • Electronic_ISBN
    978-1-84919-537-9
  • Type

    conf

  • DOI
    10.1049/cp.2012.0944
  • Filename
    6492551