Cooperative and Competitive Behaviors in a Multi-robot System for Surveillance Tasks
In this paper we present a control architecture for multi-robot systems in dynamic environments, where the low level behaviors are obtained through artificial neural networks and evolutionary algorithms to achieve collaborative behaviors in a multi-robot system. As an example, we have cooperative tasks establishing a surveillance scenario stressing cooperation and competition between them.
KeywordsMulti-robot systems Reactive Behaviors Artificial Neural Network Evolutionary Algorithms Surveillance Neurocontrollers
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