• DocumentCode
    252181
  • Title

    Swarm behavior of simulated flapping birds using Kuramoto model

  • Author

    Kato, R. ; Iizuka, H. ; Yamamoto, M.

  • Author_Institution
    Dept. of Inf. Sci. & Technol., Hokkaido Univ., Sapporo, Japan
  • fYear
    2014
  • fDate
    13-15 Dec. 2014
  • Firstpage
    112
  • Lastpage
    117
  • Abstract
    This paper shows the different types of swarm behaviors of simulated flapping birds obtained in our simulation. The individual birds are modeled in the physical virtual environment and flying by flapping. The evolutionary method is applied to obtain how to fly as an individual. After the evolution, the multiple birds interact with each other with Kuramoto model while flying at the same time. Our result shows the top-down regulation from the shape of formations to the individual behaviors. The regulation changes individual objectives to the globally determined objectives due to the entrainment caused by Kuramoto model.
  • Keywords
    genetic algorithms; mobile robots; multi-robot systems; neurocontrollers; Kuramoto model; evolutionary method; simulated flapping; swarm behavior; virtual environment; Artificial neural networks; Birds; Computational modeling; Couplings; Oscillators; Synchronization; Time-frequency analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Integration (SII), 2014 IEEE/SICE International Symposium on
  • Conference_Location
    Tokyo
  • Print_ISBN
    978-1-4799-6942-5
  • Type

    conf

  • DOI
    10.1109/SII.2014.7028021
  • Filename
    7028021