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Erschienen in:
2006 | OriginalPaper | Buchkapitel
Ergodic Dynamics for Large-Scale Distributed Robot Systems
verfasst von : Dylan A. Shell, Maja J. Matarić
Erschienen in: Unconventional Computation
Verlag: Springer Berlin Heidelberg
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Intelligent autonomous robotics is a promising area with many potential applications that could benefit from non-traditional models of computation. Information processing systems interfaced with the real world must deal with a continuous and uncertain environment, and must cope with interactions across a range of time-scales. Robotics problems resist existing tools and, consequently, new perspectives are needed to address these challenges. Toward that end, we describe a dynamics-based model for computing in large-scale distributed robot systems. The proposed method employs a compositional approach, constructing robot controllers from ergodic processes. We describe application of the method to two multi-robot tasks: decentralised task allocation, and collective strategy selection.