Abstract
In the multi-foraging task studied in this paper, a group of robots has to efficiently retrieve two different types of prey to a nest. Robots have to decide when they leave the nest to forage and which prey to retrieve.
The goal of this study is to identify an efficient multi-foraging behaviour, where efficiency is defined as a function of the energy that is spent by the robots during exploration and gained when a prey is retrieved to the nest. We design and validate a mathematical model that is used to predict the optimal behaviour. We introduce a decision algorithm and use simulations to study its performance in a wide range of experimental situations with respect to the predictions of the mathematical model.
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Campo, A., Dorigo, M. (2007). Efficient Multi-foraging in Swarm Robotics. In: Almeida e Costa, F., Rocha, L.M., Costa, E., Harvey, I., Coutinho, A. (eds) Advances in Artificial Life. ECAL 2007. Lecture Notes in Computer Science(), vol 4648. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74913-4_70
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DOI: https://doi.org/10.1007/978-3-540-74913-4_70
Publisher Name: Springer, Berlin, Heidelberg
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