• DocumentCode
    1695591
  • Title

    Multi-robot persistent surveillance planning as a Vehicle Routing Problem

  • Author

    Stump, Ethan ; Michael, Nathan

  • Author_Institution
    US Army Res. Lab., Adelphi, MD, USA
  • fYear
    2011
  • Firstpage
    569
  • Lastpage
    575
  • Abstract
    We consider a persistent surveillance problem as one of finding sequences of visits to discrete sites in a periodic fashion, cast it as a Vehicle Routing Problem with Time Windows, and solve it using exact methods developed in the operations research community. The work is a successful application of recent advances in combinatorial optimization for logistics problems but in the context of a robotics application taking place in continuous time. We apply these methods to the task of surveying a building using multiple UAVs and perform a long-term simulation developed to mimic a hardware testbed currently under development.
  • Keywords
    aerospace robotics; combinatorial mathematics; mobile robots; multi-robot systems; optimisation; path planning; remotely operated vehicles; combinatorial optimization; multi-robot persistent surveillance planning; unmanned aerial vehicles; vehicle routing problem with time windows; Communities; Operations research; Robots; Routing; Surveillance; Time factors; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2011 IEEE Conference on
  • Conference_Location
    Trieste
  • ISSN
    2161-8070
  • Print_ISBN
    978-1-4577-1730-7
  • Electronic_ISBN
    2161-8070
  • Type

    conf

  • DOI
    10.1109/CASE.2011.6042503
  • Filename
    6042503