• DocumentCode
    1775264
  • Title

    Self-navigation of multi-robot system using artificial bee colony algorithm

  • Author

    Jun-Hao Liang ; Ching-Hung Lee

  • Author_Institution
    Dept. of Electr. Eng., Yuan Ze Univ., Taoyuan, Taiwan
  • fYear
    2014
  • fDate
    18-20 June 2014
  • Firstpage
    243
  • Lastpage
    248
  • Abstract
    Based on the artificial bee colony (ABC) algorithm, this paper proposes a novel design approach for self-navigation of a multi-robot system. To treat the self-navigation (or on-line path planning) of multi-robot system, the hybrid objective functions for target, obstacles, and robots collision avoidance are selected. By the ABC algorithm, the next positions of each robot are designed and then, the tracking control to the planned neighborhood target is done by the PID controllers. Thus, the mobiles robots can travel to the target without collision. Finally, simulation results are introduced to show the effectiveness and performance of the proposed approach.
  • Keywords
    collision avoidance; control system synthesis; evolutionary computation; mobile robots; multi-robot systems; navigation; three-term control; tracking; ABC algorithm; PID controllers; artificial bee colony algorithm; hybrid objective functions; multirobot system; on-line path planning; planned neighborhood target; robot collision avoidance; self-navigation; tracking control; Collision avoidance; Linear programming; Mobile robots; Multi-robot systems; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (ICCA), 11th IEEE International Conference on
  • Conference_Location
    Taichung
  • Type

    conf

  • DOI
    10.1109/ICCA.2014.6870927
  • Filename
    6870927