Artificial olfactory system based on a telepresence robot

By using the overlapping sensitivity of chemical gas sensors, an artificial olfactory system based on a telepresence robotic system, combing a chemical gas sensor array with self organizing map (SOM) neural networks, is constructed to qualitatively analyze chemical gases. SOM neural networks have the remarkable capability of transforming the hyperspace characteristics of input gas into a two dimensional map, consequently the gas can be discriminated. Experimental results show that the system increases the selectivity of gas sensors and the SOM neural network is feasible for gas discrimination.