Coalescing Multiple Robots With An Evolutionary Method
نویسندگان
چکیده
In a heterogeneous multi-robot team, a task solution is highly dependent on the available collection of robots and their sensing and computational capabilities. We are interested in the problem of automatic synthesis of task solutions. Previous solutions to this problem include a heuristic search on the whole solution space or using an offline genetic algorithm for generating schema chunks and then search for solutions based on the chunks. In this paper, we explore the practicability of an alternative search algorithm, an evolutionary based search algorithm, to configure complete team solutions offline. Through experiments, we show that our genetic algorithm can generate complete solutions with similar qualities for a relatively small team size.
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