Abstract
There is a wide area of applications for sniffing robots where different intelligent algorithms can be applied to follow the smell of precise odors. The localization of odor sources is one way to increase the efficiency and the speed of a multi-robot team in a disaster area during search and rescue applications. Then, the most important task is not the search but the localization of these odor sources, which inspired in nature, requires a stereo sensor to find the direction from where an odor is coming. The intention of this document is to prove that the robot heading can be aligned to the real odor flow direction improving the odor and localization task based on a designed and implemented biologically inspired nose system. Experiments compare the results when the nose system is implemented and when it is not.
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Villarreal, B.L., Hassard, C., Gordillo, J.L. (2012). Finding the Direction of an Odor Source by Using Biologically Inspired Smell System. In: Pavón, J., Duque-Méndez, N.D., Fuentes-Fernández, R. (eds) Advances in Artificial Intelligence – IBERAMIA 2012. IBERAMIA 2012. Lecture Notes in Computer Science(), vol 7637. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34654-5_56
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DOI: https://doi.org/10.1007/978-3-642-34654-5_56
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