• DocumentCode
    2624515
  • Title

    Multiple UAV cooperative search under collision avoidance and limited range communication constraints

  • Author

    Beard, Randal W. ; McLain, Timothy W.

  • Author_Institution
    Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
  • Volume
    1
  • fYear
    2003
  • fDate
    9-12 Dec. 2003
  • Firstpage
    25
  • Abstract
    This paper uses a team of unmanned air vehicles (UAVs) to cooperatively search, an area of interest that contains regions of opportunity and regions of potential hazard. The objective of the UAV team is to visit as many opportunities as possible, while avoiding as many hazards as possible. To enable cooperation, the UAVs are constrained to stay within communication range of one another. Collision avoidance is also required. Algorithms for team-optimal and individually-optimal/team-suboptimal solutions are developed and their computational complexity compared. Simulation results demonstrating the feasibility of the cooperative search algorithms are presented.
  • Keywords
    collision avoidance; computational complexity; cooperative systems; mobile robots; multi-robot systems; remotely operated vehicles; search problems; collision avoidance; communication range constraints; computational complexity; cooperative search algorithms; individually optimal/team suboptimal solutions; mobile robots; multi-robot systems; multiple unmanned air vehicles; team optimal algorithms; Automotive engineering; Collision avoidance; Communication networks; Hazards; Mobile robots; Path planning; Robot kinematics; Search problems; Unmanned aerial vehicles; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-7924-1
  • Type

    conf

  • DOI
    10.1109/CDC.2003.1272530
  • Filename
    1272530