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. © 2010 Springer-Verlag.
Cite
CITATION STYLE
Wang, Z., Gu, D., Meng, T., & Zhao, Y. (2010). Consensus target tracking in multi-robot systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6424 LNAI, pp. 724–735). https://doi.org/10.1007/978-3-642-16584-9_69
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
