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Multi-robot Learning for Continuous Area Sweeping

  • Mazda Ahmadi
  • Peter Stone
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3898)

Abstract

As mobile robots become increasingly autonomous over extended periods of time, opportunities arise for their use on repetitive tasks. We define and implement behaviors for a class of such tasks that we call continuous area sweeping tasks. A continuous area sweeping task is one in which a group of robots must repeatedly visit all points in a fixed area, possibly with non-uniform frequency, as specified by a task-dependent cost function. Examples of problems that need continuous area sweeping are trash removal in a large building and routine surveillance. We present a formulation for this problem and an initial algorithm to address it. The approach is analyzed analytically and is fully implemented and tested, both in simulation and on physical robots.

Keywords

Grid Cell Coarse Grid Real Robot Message Type Expected Reward 
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

  • Mazda Ahmadi
    • 1
  • Peter Stone
    • 1
  1. 1.Department of Computer ScienceLearning Agent Research Group (LARG)USA

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