• DocumentCode
    2137194
  • Title

    Path planning for mobile robots based on genetic algorithms

  • Author

    Jintao Su ; Jianfeng Li

  • Author_Institution
    Jiangsu Autom. Res. Inst., Lianyungang, China
  • fYear
    2013
  • fDate
    23-25 July 2013
  • Firstpage
    723
  • Lastpage
    727
  • Abstract
    A path planning method for mobile robots is designed based on genetic algorithms. The grid map method is used to describe the movement environment of mobile robots. Some new genetic operators are designed in addition to the traditional genetic operators. The method based on genetic algorithms achieves the requirement that the planned movement path for mobile robots is the optimal. Experimental results show that it is effective to mobile robots´ path planning problems.
  • Keywords
    genetic algorithms; mobile robots; path planning; genetic algorithms; genetic operators; grid map method; mobile robots; path planning method; Biological cells; Genetic algorithms; Mobile robots; Path planning; Sociology; Statistics; genetic algorithms; path planning; robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Natural Computation (ICNC), 2013 Ninth International Conference on
  • Conference_Location
    Shenyang
  • Type

    conf

  • DOI
    10.1109/ICNC.2013.6818070
  • Filename
    6818070
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2137194