Search and pursuit-evasion in mobile robotics A survey

Timothy H. Chung, Geoffrey A. Hollinger, Volkan Isler

Research output: Contribution to journalReview articlepeer-review

288 Scopus citations

Abstract

This paper surveys recent results in pursuitevasion 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.

Original languageEnglish (US)
Pages (from-to)299-316
Number of pages18
JournalAutonomous Robots
Volume31
Issue number4
DOIs
StatePublished - Nov 2011

Keywords

  • Autonomous search
  • Pursuit-evasion
  • Search theory

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