• DocumentCode
    2683250
  • Title

    Traffic control for a swarm of robots: Avoiding group conflicts

  • Author

    Marcolino, Leandro Soriano ; Chaimowicz, Luiz

  • Author_Institution
    Comput. Sci. Dept., Fed. Univ. of Minas Gerais, Minas Gerais, Brazil
  • fYear
    2009
  • fDate
    10-15 Oct. 2009
  • Firstpage
    1949
  • Lastpage
    1954
  • Abstract
    A very common problem in the navigation of robotic swarms is when groups of robots move into opposite directions, causing congestion situations that may compromise performance. In this paper, we propose a distributed coordination algorithm to alleviate this type of congestion. By working collaboratively, and warning their teammates about a congestion risk, robots are able to coordinate themselves to avoid these situations. We executed simulations and real experiments to study the performance and effectiveness of the proposed algorithm. Results show that the algorithm allows the swarm to navigate in a smoother and more efficient fashion, and is suitable for large groups of robots.
  • Keywords
    collision avoidance; distributed control; mobile robots; multi-robot systems; navigation; traffic control; distributed coordination algorithm; group conflicts avoidance; robotic swarms navigation; traffic control; Collaborative work; Collision avoidance; Distributed algorithms; Intelligent robots; Navigation; Orbital robotics; Robot kinematics; Robot sensing systems; Traffic control; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 2009. IROS 2009. IEEE/RSJ International Conference on
  • Conference_Location
    St. Louis, MO
  • Print_ISBN
    978-1-4244-3803-7
  • Electronic_ISBN
    978-1-4244-3804-4
  • Type

    conf

  • DOI
    10.1109/IROS.2009.5354336
  • Filename
    5354336