• DocumentCode
    3232198
  • Title

    Pursuit-evasion games with unmanned ground and aerial vehicles

  • Author

    Vidal, René ; Rashid, Shahid ; Sharp, Cory ; Shakernia, Omid ; Kim, Jin ; Sastry, Shankar

  • Author_Institution
    Dept. of EECS, California Univ., Berkeley, CA, USA
  • Volume
    3
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    2948
  • Abstract
    Presents the implementation of a hierarchical architecture for the coordination and control of a heterogeneous team of autonomous agents. We consider the problem of having a team of agents pursue a second team of evaders while building a map of the environment. The control architecture emphasizes the autonomy of each agent yet allows for coordinated efforts among them. We address the technical challenges and implementation issues of multi-agent operation. Finally we present experimental results of a pursuit-evasion game scenario between unmanned ground and aerial vehicles.
  • Keywords
    Markov processes; aerospace robotics; game theory; mobile robots; multi-robot systems; path planning; remotely operated vehicles; robot vision; autonomous agents; control architecture; evaders; heterogeneous team; hierarchical architecture; implementation issues; multi-agent operation; pursuit-evasion games; technical challenges; unmanned aerial vehicles; unmanned ground vehicles; Autonomous agents; Buildings; Computer vision; Game theory; Land vehicles; Maximum likelihood estimation; Remotely operated vehicles; Road vehicles; Unmanned aerial vehicles; Working environment noise;
  • 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.2001.933069
  • Filename
    933069