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
Link To Document