Search and pursuit-evasion in mobile robotics

  • Authors:

  • Timothy H. Chung;Geoffrey A. Hollinger;Volkan Isler

  • Affiliations:

  • Department of Systems Engineering, Graduate School of Engineering and Applied Sciences, Naval Postgraduate School, Monterey, USA;Computer Science Department, Viterbi School of Engineering, University of Southern California, Los Angeles, USA;Department of Computer Science and Engineering, College of Science and Engineering, University of Minnesota, Minneapolis, USA

  • Venue:
  • Autonomous Robots
  • Year:
  • 2011

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Abstract

This paper surveys recent results in pursuit-evasion and autonomous search relevant to applications in mobile robotics. We provide a taxonomy of search problems that highlights the differences resulting from varying assumptions on the searchers, targets, and the environment. We then list a number of fundamental results in the areas of pursuit-evasion and probabilistic search, and we discuss field implementations on mobile robotic systems. In addition, we highlight current open problems in the area and explore avenues for future work.