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

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.