First published 2 September 2013
An Artificial Behavioral Immune System for cognitive robotics
Ignazio Infantino, Riccardo Rizzo
The paper proposes the implementation of an artificial behavioral immune system (ABIS) that could be integrated on a robotic platform. The ultimate goal is to have a form of perceptual processing to create the sensation of disgust (on more in general of discomfort) that may influence the behavior that is determined by the cognitive modules. The present work, being oriented to human-robot interaction, is focused on perceptual processing of facial expression, and speech recognition. As regards the first aspect, the human face closer to the robot is detected, then facial features are extracted, and finally a vector of data which has an emotional valence linked to expression is determined. The speech is processed to recognize the individual words and the moods using a "sentiment analysis" technique. An artificial immune system is used to recognize positive and negative "feelings" that cames from interactions and generate the signal of discomfort. For training and validation we used a few human subjects and sequences of a fairy tale.