• DocumentCode
    2846937
  • Title

    Mission control: Local versus global modeling of robot tasking and routing

  • Author

    Froehlich, Ralf

  • Author_Institution
    Inst. of Autom., Hamburg Univ. of Technol., Hamburg
  • fYear
    2008
  • fDate
    23-26 Aug. 2008
  • Firstpage
    566
  • Lastpage
    571
  • Abstract
    This paper presents two modeling approaches for a cooperative control problem for a homogeneous team of robots acting on a cellular two-dimensional space which includes targets and obstacles. First a combinatorial assignment and scheduling approach is used to generate collision free trajectories for the robots. The second approach formulates the optimization problem of finding collision free and optimal trajectories using a receding horizon approach. This approach uses a sequence of optimization problems which are solved for a planning horizon which are then executed over a shorter action horizon. The two modeling approaches are tested and evaluated using illustrative simulation examples.
  • Keywords
    collision avoidance; combinatorial mathematics; mobile robots; multi-robot systems; optimisation; scheduling; cellular 2D space; collision free trajectory; combinatorial assignment approach; cooperative control problem; global modeling; homogeneous robot team; local modeling; mission control; optimization problem; planning horizon; receding horizon approach; robot routing; robot tasking; scheduling approach; Automatic control; Control systems; Orbital robotics; Robot kinematics; Robotics and automation; Routing; Space exploration; Space missions; Testing; Trajectory; Autonomous Systems; Cooperative Control; Optimization; Receding Horizon;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering, 2008. CASE 2008. IEEE International Conference on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    978-1-4244-2022-3
  • Electronic_ISBN
    978-1-4244-2023-0
  • Type

    conf

  • DOI
    10.1109/COASE.2008.4626413
  • Filename
    4626413