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 :
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