Abstract
A scalable, decentralised large-scale network of mobile robots for multi-target tracking is addressed in this paper. The decentralised control is originally built up by behavioural control but upgraded with decentralised robot control for connectivity maintenance and decentralised connectivity control for hierarchical connectivity removal, allowing the network expansion for tracking and occupying spatially distributed targets. The multi-target tracking algorithm guarantees that the mobile robots reach targets at very high efficiency, while at least an interconnectivity network connecting all the mobile robots is preserved for information exchange. The Monte Carlo simulation results illustrate characteristics of the decentralised control as well as its scalability through several experimental scenarios.
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Acknowledgments
This research was supported in part by the University of Brunei Darrusalam (UBD/PNC2/2/RG/1(259)) and the Asia Research Centre and the Korea Foundation for Advanced Studies.
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Hung, P.D., Vinh, T.Q., Ngo, T.D. (2016). A Scalable, Decentralised Large-Scale Network of Mobile Robots for Multi-target Tracking. In: Menegatti, E., Michael, N., Berns, K., Yamaguchi, H. (eds) Intelligent Autonomous Systems 13. Advances in Intelligent Systems and Computing, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-319-08338-4_46
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