The queen robots: Behaviour-based situated robots solving the N-Queens puzzle

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Abstract

We study here the problem of solving the traditional n-queens puzzle by a group of homogeneous reactive robots. We have devised two general and decentralized behaviour-based algorithms that solve the puzzle for N mobile robots. They all make a depth-first search with backtracking .in the wild. guaranteeing .in principle. a solution. In the first one, there is a predefined precedence order in the group; each robot has local sensing (sonar), a GPS, and is able to communicate with the previous and next group elements. In the other algorithm, there is only local sensing ability and a GPS. There is neither a predefined group order nor any peer-to-peer communication between the robots. We have validated our algorithms in a simulation context.

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Urbano, P., Moniz, L., & Coelho, H. (2002). The queen robots: Behaviour-based situated robots solving the N-Queens puzzle. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2507, pp. 129–139). Springer Verlag. https://doi.org/10.1007/3-540-36127-8_13

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