Adaptive spatio-temporal organization in groups of robots

Abstract

This paper presents experiments, in simulation, with a group of robots that improve their performance on a straightforward transportation task by using reinforcement learning to associate input states with a set of abstract behaviors. We show that the improvement in performance is a result of the group adapting its spatio-temporal organization to the given… (More)
DOI: 10.1109/IRDS.2002.1041529

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