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Consensus target tracking in multi-robot systems

Wang, Z and Gu, D and Meng, T and Zhao, Y (2010) Consensus target tracking in multi-robot systems. In: UNSPECIFIED, ? - ?.

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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. © 2010 Springer-Verlag.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: Published proceedings: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Clare Chatfield
Date Deposited: 06 Sep 2013 13:08
Last Modified: 06 Feb 2019 00:15

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