• DocumentCode
    2277950
  • Title

    A framework for boltzmann-type models of robotic swarms

  • Author

    Kettler, Alexander ; Wörn, Heinz

  • Author_Institution
    Inst. for Process Control & Robot., Karlsruhe Inst. of Technol., Karlsruhe, Germany
  • fYear
    2011
  • fDate
    11-15 April 2011
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    We introduce a new model framework to describe the temporal evolution of the macroscopic location probability of a robotic swarm in two dimensions based on the Boltzmann equation from statistical physics. The framework features a strong connection between the microscopic behavior of the robots and the macroscopic effects of this behavior. It is distinguished from other existing models by the inclusion of the robots velocities into the model. Therefore it is able to correctly describe the behavior of the robots even in regions with low robot densities or high ratios of deterministic movement of the robots. The model is validated against results from simulations of two simple test-scenarios. A short introduction to the numerics used to evaluate the model is given.
  • Keywords
    Boltzmann equation; mobile robots; multi-robot systems; Boltzmann equation; Boltzmann-type model; autonomous mobile robot; macroscopic location probability; macroscopic model; microscopic model; robot velocity; robotic swarm; statistical physics; Adaptation models; Collision avoidance; Equations; Mathematical model; Numerical models; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Swarm Intelligence (SIS), 2011 IEEE Symposium on
  • Conference_Location
    Paris
  • Print_ISBN
    978-1-61284-053-6
  • Type

    conf

  • DOI
    10.1109/SIS.2011.5952565
  • Filename
    5952565