Multimodal architecture for emotion in robots using deep learning

Abstract

These days, some robots have emotional state (expression and recognition) to make Human-Robot Interaction (HRI) and Robot-Robot Interaction (RRI) better. In this article we analyze what it means for a robot to have emotion and distinguishing emotional state for communication from an emotional state as a mechanism for the organization of its behavior with humans and robots by convolutional neural network (CNN). We discuss these relations and explain why it can be more effective by CNN for having better emotion in the robots. Here, we present a multimodal system for Emotions in Robots by CNN.