Fuzzy perception, emotion and expression for interactive robots

Future robots need transparent interface that regular people can interpret, such as an emotional human-like face. Moreover, such robots must exhibit behaviors that are perceived believable and life-like. In this work we propose the use of fuzzy logic for effectively constructing the whole behavior system of these robots. This not only simplifies the design tasks, but also enriches human-robot interaction. The latter claim is justified by effortlessly generating intermediate and blend of emotions from a few basic emotions. Additionally, fuzzy motor commands yield smooth life-like motions and therefore improve believability.