• DocumentCode
    716850
  • Title

    Gaussian reconstruction of swarm behavior from partial data

  • Author

    Wagner, Glenn ; Choset, Howie

  • Author_Institution
    Robot. Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • fYear
    2015
  • fDate
    26-30 May 2015
  • Firstpage
    5864
  • Lastpage
    5870
  • Abstract
    Swarms consist of large numbers of individual agents that generally maintain no fixed relative positions, which makes describing the behavior of the swarm as a whole difficult. Furthermore, the high number of agents leads to frequent occlusions that prevent observations of the entire swarm. In this paper, we represent the behavior of swarms using velocity fields, yielding a description which is invariant to the number of agents in a swarm, and the position, orientation, and scale of the swarm. The velocity field representation allows the behavior of swarms to be modeled as a Gaussian distribution. We demonstrate that this Gaussian model can be used to reconstruct the behavior of the swarm as a whole from partial observations.
  • Keywords
    Gaussian distribution; data analysis; multi-agent systems; pattern classification; Gaussian distribution; Gaussian model; Gaussian reconstruction; agent orientation; agent position; agent swarm; behavior classification; occlusion; partial data; partial observation; swarm behavior; velocity field representation; Biological system modeling; Computational modeling; Data models; Gaussian distribution; Manifolds; Shape; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2015 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • Type

    conf

  • DOI
    10.1109/ICRA.2015.7140020
  • Filename
    7140020