• DocumentCode
    579951
  • Title

    Mobile Robots Odor Localization with a Genetic Algorithm

  • Author

    Shi, Zhi- Biao ; Sun, Jiang-bo

  • Author_Institution
    Northeast Dianli Univ., Jilin, China
  • fYear
    2012
  • fDate
    3-5 Nov. 2012
  • Firstpage
    875
  • Lastpage
    878
  • Abstract
    This article proposes a new implementation scheme of multi-robot odor localization based on genetic algorithm (GA). Firstly, a simple multi-hump plume model with a maximum only is set up. Secondly, the implementation procedure of mobile robot odor localization (MROL) based on GA in the stimulated environment is presented. The simulation results validate the proposed search scheme.
  • Keywords
    electronic noses; genetic algorithms; mobile robots; multi-robot systems; genetic algorithm; mobile robot odor localization; multihump plume model; multirobot odor localization; Genetic algorithms; Genetics; Mobile robots; Robot sensing systems; Sociology; Statistics; genetic algorithm; mobile robot odor localization; plume mode;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Communication Networks (CICN), 2012 Fourth International Conference on
  • Conference_Location
    Mathura
  • Print_ISBN
    978-1-4673-2981-1
  • Type

    conf

  • DOI
    10.1109/CICN.2012.213
  • Filename
    6375239