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Ergodic Dynamics for Large-Scale Distributed Robot Systems

  • Dylan A. Shell
  • Maja J. Matarić
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4135)

Abstract

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.

Keywords

Obstacle Avoidance Task Allocation Robot System Home Region Homogeneous Strategy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Dylan A. Shell
    • 1
  • Maja J. Matarić
    • 1
  1. 1.Department of Computer ScienceUniversity of Southern CaliforniaLos AngelesUSA

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