• DocumentCode
    2625802
  • Title

    Multi-Vehicle Flocking: Scalability of Cooperative Control Algorithms using Pairwise Potentials

  • Author

    Chuang, Yao-Li ; Huang, Yuan R. ; D´Orsogna, Maria R. ; Bertozzi, Andrea L.

  • Author_Institution
    Dept. of Math., California Univ., Los Angeles, CA
  • fYear
    2007
  • fDate
    10-14 April 2007
  • Firstpage
    2292
  • Lastpage
    2299
  • Abstract
    In this paper, we study cooperative control algorithms using pairwise interactions, for the purpose of controlling flocks of unmanned vehicles. An important issue is the role the potential plays in the stability and possible collapse of the group as agent number increases. We model a set of interacting Dubins vehicles with fixed turning angle and speed. We perform simulations for a large number of agents and we show experimental realizations of the model on a testbed with a small number of vehicles. In both cases, critical thresholds exist between coherent, stable, and scalable flocking and dispersed or collapsing motion of the group.
  • Keywords
    cooperative systems; mobile robots; motion control; multi-robot systems; remotely operated vehicles; cooperative control; multivehicle flocking; pairwise potentials; unmanned vehicles; Automatic control; Clustering algorithms; Kinematics; Noise robustness; Numerical simulation; Robotics and automation; Scalability; Stability; System testing; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2007 IEEE International Conference on
  • Conference_Location
    Roma
  • ISSN
    1050-4729
  • Print_ISBN
    1-4244-0601-3
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2007.363661
  • Filename
    4209425