Abstract
By sharing collective sensor information, individuals in biological flocking systems have more opportunities for finding food and avoiding predators. This paper introduces a distributed robot flocking system with similar behaviour to biological flocking systems. In the developed flocking system, robots cooperatively track a target by using consensus algorithm. The consensus algorithm enables the robots to estimate locally the position of a target. The performance of the flocking system is tested via simulations. The results demonstrate that the flocking system is flexible, reliable and feasible for practical uses.
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Wang, Z., Gu, D., Meng, T., Zhao, Y. (2010). Consensus Target Tracking in Multi-robot Systems. In: Liu, H., Ding, H., Xiong, Z., Zhu, X. (eds) Intelligent Robotics and Applications. ICIRA 2010. Lecture Notes in Computer Science(), vol 6424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16584-9_69
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DOI: https://doi.org/10.1007/978-3-642-16584-9_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16583-2
Online ISBN: 978-3-642-16584-9
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