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Real-Time Distributed Multi-Robot Target Tracking via Virtual Pheromones

Joseph Prince Mathew, Cameron Nowzari

Year
2022
Citations
3

Abstract

Actively searching for targets using a multi-agent system in an unknown environment poses a two-pronged prob-lem, where on the one hand we need agents to cover as much of the environment as possible and on the other have a higher density of agents where there are potential targets to maximize detection performance. This paper proposes a fully distributed solution for an ad hoc network of agents to cooperatively search an unknown environment and actively track found targets. The solution combines a distributed pheromone-based coverage control strategy with a distributed target selection mechanism.

Keywords

Computer scienceDistributed computingRobotCover (algebra)Mechanism (biology)Distributed Computing EnvironmentTracking (education)Mobile robotSelection (genetic algorithm)Wireless ad hoc network

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