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
CountryTaiwan
CityTaichung
Period18/06/1420/06/14

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