Abstract:We aim to design algorithms that allow robot swarms to solve the best-of-n problem using as little resources as possible. Our minimalistic approach aims to create solutions suitable for simple robots with fewer memory and computational requirements than the state of the art algorithms require. While the long term goal is to implement decentralised algorithms for best-of-n decision making based on heterogeneous response thresholds, here we focus on what threshold distribution allows the swarm to best distinguis… Show more
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