Utterance Learning System Based on Human State using Robot Partner

Abstract

This paper proposes a conversation system to realize natural communication between a human and a robot partner in informationally structure space. This paper consists of three parts. First, we describe the structure of the sensors and robot partner in informationally structured space. Next, we propose a conversation system based on informationally structured space. Furthermore, we propose an utterance learning system based on Fuzzy Spiking Neural Network in order to learn information from informationally structured space and the relationship in the conversation contents. Finally, we show experimental results of the proposed method and discuss the future direction on this research.