• DocumentCode
    3476044
  • Title

    Simulation Study on Searching for Food by Cooperation of Multi-Robots with Swarm Intelligence

  • Author

    Wang, Lan ; Zhang, Qian ; Wan, Nianfeng

  • Author_Institution
    ZhongYuan Univ. of Technol., Zhengzhou
  • fYear
    2007
  • fDate
    18-21 Aug. 2007
  • Firstpage
    2296
  • Lastpage
    2300
  • Abstract
    In response to the disadvantages of the classical ant colony algorithm in path planning problem, an improved ant colony algorithm was proposed which combined classical algorithm with map-traveling strategy, to solve the problem that how multi-robots cooperated to search for food under the unknown environment. The thinking of method was explained, and the searching process was simulated and shown through animation. The simulation results show that the improved method is effective.
  • Keywords
    intelligent robots; multi-robot systems; optimisation; path planning; ant colony algorithm; map-traveling strategy; multirobots cooperation; path planning problem; searching process; swarm intelligence; Animation; Ant colony optimization; Automation; Cities and towns; Food technology; Logistics; Navigation; Particle swarm optimization; Path planning; Shortest path problem; Ant Colony Algorithm; Multi-robots; Path Planning; Simulation; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2007 IEEE International Conference on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-1531-1
  • Type

    conf

  • DOI
    10.1109/ICAL.2007.4338959
  • Filename
    4338959