• DocumentCode
    3015322
  • Title

    Distributed pursuit-evasion with limited-visibility sensors via frontier-based exploration

  • Author

    Durham, Joseph W. ; Franchi, Antonio ; Bullo, Francesco

  • Author_Institution
    Dept. of Mech. Eng., Univ. of California, Santa Barbara, CA, USA
  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    3562
  • Lastpage
    3568
  • Abstract
    This paper addresses a novel visibility-based pursuit-evasion problem in which a team of searchers with limited range sensors must coordinate to clear any evaders from an unknown planar environment. We present a distributed algorithm built around guaranteeing complete coverage of the frontier between cleared and contaminated areas while expanding the cleared area. Our frontier-based algorithm can guarantee detection of evaders in unknown, multiply-connected planar environments which may be non-polygonal. We also detail a method for storing and updating the global frontier between cleared and contaminated areas without building a global map or requiring global localization, which enables our algorithm to be truly distributed. We demonstrate the functionality of the algorithm through Player/Stage simulations.
  • Keywords
    multi-robot systems; search problems; distributed pursuit-evasion; frontier-based exploration; limited-visibility sensor; multiply-connected planar environment; visibility-based pursuit-evasion problem; Communication system control; Distributed algorithms; Mechanical engineering; Protocols; Robot kinematics; Robot sensing systems; Robotics and automation; Safety; Security; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509347
  • Filename
    5509347