Emotional action generation model supporting real-time operation

Abstract

In this paper, we propose an emotional action generation model for robots that supports real-time operation. Emotional actions make users feel better. However, some conventional robot emotion generation models do not support real-time operation and do not generate natural actions that make users feel better. The proposed model enables robots to perform natural actions that positively influence communication between the user and the robot. Through two simulations, we evaluate the generation of emotional actions and real-time operation. The experimental results confirm confirmed the effectiveness of the proposed model.