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

Jun Hao Liang, Ching Hung Lee*

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    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.

    Original languageEnglish
    Title of host publication11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
    PublisherIEEE Computer Society
    Pages243-248
    Number of pages6
    ISBN (Print)9781479928378
    DOIs
    StatePublished - 2014
    Event11th IEEE International Conference on Control and Automation, IEEE ICCA 2014 - Taichung, Taiwan
    Duration: 18 Jun 201420 Jun 2014

    Publication series

    NameIEEE International Conference on Control and Automation, ICCA
    ISSN (Print)1948-3449
    ISSN (Electronic)1948-3457

    Conference

    Conference11th IEEE International Conference on Control and Automation, IEEE ICCA 2014
    Country/TerritoryTaiwan
    CityTaichung
    Period18/06/1420/06/14

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