• DocumentCode
    2867631
  • Title

    Directional Aptitude Analysis in Odor Source Localization Techniques for Rescue Robots Applications

  • Author

    Villarreal, B. Lorena ; Gordillo, José L.

  • Author_Institution
    Center for Intell. Syst., Tecnol. de Monterrey, Monterrey, Mexico
  • fYear
    2011
  • fDate
    Nov. 26 2011-Dec. 4 2011
  • Firstpage
    109
  • Lastpage
    114
  • Abstract
    Olfaction is an interesting new challenging area for intelligent systems to be developed and applied in rescue robots applications. The use of a sniffing robot following the smell of precise odors is one way to increase the efficiency and the fastness of a multi-robot team in a disaster area. The most important task of a sniffing robot in a rescue application is the odor source localization, which inspired on nature, requires the capacity of directionality. The intention of this document is to prove that the diffusion, advection, and gradient behaviors are actually present in a semi-controlled environment with an odor source simulating a continuous and relatively constant gas leak.
  • Keywords
    chemioception; disasters; electronic noses; mobile robots; multi-robot systems; directional aptitude analysis; disaster; intelligent systems; multirobot team; odor source localization; olfaction; rescue robots; sniffing robot; Arrays; Chemicals; Olfactory; Robot kinematics; Robot sensing systems; Voltage measurement; advectiom; chemical sensor; diffusion; odor sensor; odor source localization techniques; smell sense;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence (MICAI), 2011 10th Mexican International Conference on
  • Conference_Location
    Puebla
  • Print_ISBN
    978-1-4577-2173-1
  • Type

    conf

  • DOI
    10.1109/MICAI.2011.29
  • Filename
    6119005