Perception Aptitude improvement of an odor sensor: Model for a biologically inspired nose

Abstract

Biologically inspired systems are a common tendency in robotics. Nowadays the common robots use human-like behaving senses as capabilities as soon as they can see, hear and touch, but the senses of smell and taste, are starting to emerge. There are three main problems to solve when including a smell sensor into a robot: the environmental model or the way the odor molecules behave either in outdoors or indoors, the sensor model, and the algorithmic or process model. One of the difficulties of developing chemical sensors versus another sensor is that chemical reactions tend to change the sensor composition often in a way that is nonreversible. Also, the odor exposure quickly saturates the sensor which needs a lot of time to be ready for the next measure. This is why; the smell system design must be biologically inspired. In this paper we present the results of the sensor model including the biological inspired process of aspiration and the design of a smell system device. © 2013 Springer-Verlag Berlin Heidelberg.