Interaction System Using Persona for Robot Partners

Abstract

This paper proposes a human-robot interaction system that not only acquires robot sensory information but also human personal information such as residential address, age, and occupation. We also extend the human-robot interaction system that can classify human personas and various interaction styles according to classified user information. The proposed method has been validated by series of experiment and real robot implementation.