A Survey on the Latest Developed Emotion Recognition and Legged Robots

Abstract

As robots are being applied to increasing industrial fields, they began to hold the main position in dealing with an amount of different practical tasks gradually. To figure out certain relationships between robots and humans and how legged robots can achieve adaptive behavior, in this paper, I analyzed a couple of principles of recently designed emotion recognition and legged robots by comparing and summarizing the methods and functions of the trains of thought of two kinds of newly designed robots-Emotion Recognition and Legged Robots. Legs are nothing new for humans or animals, but fitting a robot with legs and making them perform functions similar to humans’ legs is a complex problem. As we can see from the fact that babies learn to walk and the learning curve involved, which indicates that even humans with good motor intelligence spend years learning to walk when they are very young, it’s not difficult to imagine the difficulty of creating legs for a robot and training it to walk properly. Meanwhile, Emotional recognition is the cornerstone of Human-Robot Interaction, and its main task is to establish an intelligent computing system that can analyze and recognize human emotions from speech, text, video, and other modes to realize humanized communication between humans and machines, which is of great theoretical significance and practical application value. The search results on these robots can help to illustrate some specific task execution procedures and serve as a motivation to better understand the design methods of robot learning.