• DocumentCode
    398187
  • Title

    Avoiding collision logjams through cooperation and conflict propagation

  • Author

    Krishna, K. Madhava ; Hexmoor, Henry ; Pasapuleti, Subba Rao

  • Author_Institution
    Dept. of Comput. Sci. & Comput. Eng., Arkansas Univ., Fayetteville, AR, USA
  • fYear
    2003
  • fDate
    30 Sept.-4 Oct. 2003
  • Firstpage
    52
  • Lastpage
    57
  • Abstract
    A methodology for resolving collision conflicts of many fast moving robots involving distributed cooperative behavior is proposed. Robots are unaware of the goals and plans of other robots. However, each robot is assumed to know the current states of other robots within a given range of vision. The current state of a robot is represented by its current and target velocities and its heading direction. A conflict issue between two robots is a detection of an upcoming collision. The resolution of the conflicts occurs at three levels. At the first level, the robots attempt to resolve the conflict individually. If individual attempts to resolve fail, the robots enter into a cooperative phase of resolving the conflict at the second level. At the third level, conflicts are propagated to robots not directly involved in any conflicts at that instant and their assistance sought for possible resolution. At all the three levels conflict resolution is attempted by velocity control of the robots through an algorithm that is distributed across all the robots in the system. Simulation results are shown to validate the efficacy of this methodology.
  • Keywords
    collision avoidance; cooperative systems; mobile robots; multi-robot systems; collision avoidance; conflict propagation; current velocity; distributed cooperative behavior; heading direction; mobile robot; target velocity; Collision avoidance; Computer science; Distributed computing; Merging; Motion planning; Navigation; Portable media players; Robot kinematics; Robot vision systems; Robotics and automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integration of Knowledge Intensive Multi-Agent Systems, 2003. International Conference on
  • Print_ISBN
    0-7803-7958-6
  • Type

    conf

  • DOI
    10.1109/KIMAS.2003.1245021
  • Filename
    1245021