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
Link To Document :
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