• DocumentCode
    3235250
  • Title

    An adaptive path planning algorithm for cooperating unmanned air vehicles

  • Author

    Cunningham, Christopher T. ; Roberts, Randy S.

  • Author_Institution
    Lawrence Livermore Nat. Lab., CA, USA
  • Volume
    4
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    3981
  • Abstract
    An adaptive path planning algorithm is presented for cooperating unmanned air vehicles (UAVs) that are used to deploy and operate land-based sensor networks. The algorithm employs a global cost function to generate paths for the UAVs, and adapts the paths to exceptions that might occur. Examples are provided of the paths and adaptation.
  • Keywords
    aircraft control; computational complexity; computational geometry; mobile robots; multi-robot systems; path planning; remotely operated vehicles; adaptive path planning algorithm; cooperating unmanned air vehicles; global cost function; land-based sensor networks; Condition monitoring; Cost function; Fires; Interference; Laboratories; Path planning; Postal services; Predictive models; Sensor phenomena and characterization; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2001. Proceedings 2001 ICRA. IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-6576-3
  • Type

    conf

  • DOI
    10.1109/ROBOT.2001.933238
  • Filename
    933238