Abstract
We examine the practical problem of a mobile autonomous robot performing a long-duration survey task, during which it must recharge its batteries periodically. We present a scalable, online, heuristic method that allows the robot to recharge efficiently, thus maximizing its rate of work. The method is a direct application of the rate-maximizing foraging model, which seeks to explain the behaviour of animals solving related problems. Simulation results suggest that the method performs very well compared to optimal and naive heuristic approaches. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Wawerla, J., & Vaughan, R. T. (2007). Near-optimal mobile robot recharging with the rate-maximizing forager. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4648 LNAI, pp. 776–785). Springer Verlag. https://doi.org/10.1007/978-3-540-74913-4_78
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