Title :
Neural oscillator-based multi-robot coordination algorithm to catch-Observe-Protect a target
Author :
Manzoor, Sajjad ; Youngjin Choi
Author_Institution :
Dept. of Electron. Syst. Eng., Hanyang Univ., Ansan, South Korea
Abstract :
In this paper a neural oscillator-based algorithm for the multi-robot navigation, coordination and formation control is proposed. A group of robots is directed to move towards a static or dynamic target in such a way that the robots gradually get apart from each other. The robots reach the target at a desired distance from it, keeping equally distributed angles around the target. In this way the target can be Caught, Observed or Protected (COP) by the robots. The algorithm is also extended to an obstacle avoidance problem. The effectiveness of the proposed method is first verified through simulation results and then the algorithm is applied to mobile robots for experimental verification.
Keywords :
collision avoidance; mobile robots; multi-robot systems; neurocontrollers; COP; mobile robots; multi-robot formation control; multi-robot navigation; neural oscillator-based multi-robot coordination algorithm; obstacle avoidance; target catch-observe-protect; Collision avoidance; Limit-cycles; Mobile robots; Navigation; Oscillators; Robot kinematics; multi-robot coordination; neural oscillator; path planning;
Conference_Titel :
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-7097-1
DOI :
10.1109/ICMA.2015.7237693