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Neural Oscillator-based Multi-Robot Coordination Algorithm to Catch-Observe-Protect a Target

Title
Neural Oscillator-based Multi-Robot Coordination Algorithm to Catch-Observe-Protect a Target
Author
최영진
Keywords
Robot kinematics; Limit-cycles; Oscillators; Navigation; Collision avoidance; Mobile robots; neural oscillator; multi-robot coordination; path planning
Issue Date
2015-08
Publisher
IEEE
Citation
2015 IEEE International Conference on Mechatronics and Automation (ICMA), Page. 1418-1423
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.
URI
http://ieeexplore.ieee.org/document/7237693/https://repository.hanyang.ac.kr/handle/20.500.11754/101431
ISBN
978-1-4799-7098-8
ISSN
2152-7431; 2152-744X
DOI
10.1109/ICMA.2015.7237693
Appears in Collections:
COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > ELECTRICAL ENGINEERING(전자공학부) > Articles
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