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A Sampling-Based Motion Planning Approach to Maintain Visibility of Unpredictable Targets  (Make Corrections)  
Rafael Murrieta-Cid, Benjamn Tovar, Seth Hutchinson



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Abstract: This paper deals with the surveillance problem of computing the motions of one or more robot observers in order to maintain visibility of one or several moving targets. The targets are assumed to move unpredictably, and the distribution of obstacles in the workspace is assumed to be known in advance. (Update)

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BibTeX entry:   (Update)

@misc{ murrieta-cid-samplingbased,
  author = "Rafael Murrieta-Cid and Benjamn Tovar and Seth Hutchinson",
  title = "A Sampling-Based Motion Planning Approach to Maintain Visibility of Unpredictable
    Targets",
  url = "citeseer.ist.psu.edu/747554.html" }
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1   A Framework for real-time path planning in changing environm.. (context) - Leven, Hutchinson - 2003
1   Algorithms for Multi-Robot Observation of Multiple Targets (context) - Parker - 2002

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