• DocumentCode
    2007246
  • Title

    Simulation Experiments with Bio-inspired Algorithms for Odor Source Localization in Laminar Wind Flow

  • Author

    Lochmatter, Thomas ; Martinoli, Alcherio

  • Author_Institution
    Distrib. Intell. Syst. & Algorithms Lab., Ecole Polytech. Fed. de Lausanne, Lausanne
  • fYear
    2008
  • fDate
    11-13 Dec. 2008
  • Firstpage
    437
  • Lastpage
    443
  • Abstract
    We compare three bio-inspired odor source localization algorithm (casting, surge-spiral and surge-cast) for environments with a main wind flow in simulation. The wind flow is laminar and the simulation setup similar to the setup in the wind tunnel in which we have carried out similar experiments with real robots. The algorithms are compared in terms of success rate and distance overhead when tracking the plume up to the source. We conclude that the algorithms based on upwind surge yield significantly better performance than pure casting.
  • Keywords
    electronic noses; flow simulation; laminar flow; wind tunnels; bio-inspired algorithms; laminar wind flow; odor source localization; plume; wind tunnel; Casting; Chemical sensors; Intelligent structures; Intelligent systems; Learning systems; Machine learning; Machine learning algorithms; Robot sensing systems; Service robots; Surges; Odor source localization; mobile robot; odor sensor; robotic simulator; webots; wind sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Applications, 2008. ICMLA '08. Seventh International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-0-7695-3495-4
  • Type

    conf

  • DOI
    10.1109/ICMLA.2008.128
  • Filename
    4725010