Machine Learning Techniques for Socially Intelligent Robots

This article mainly describes the machine learning technology of socially intelligent robots. First, the history of robot development is introduced: from the very beginning for repetitive and dangerous tasks in industrial environments to the emergence of artificial intelligence and machine learning, the development of robots to give greater autonomy and adaptability. Secondly, it begins to elaborate the concept of socially intelligent robots, which refers to machines with advanced capabilities that interact and communicate with humans in a socially adept way, and use complex sensors, cameras and algorithms to perceive the social environment around them. Following the introduction of machine learning in the mid-20th century by Alan Turing, to the 1950s and 1960s began to simulate the way the brain processes information, and then symbolic reasoning systems, with the emergence of vector machines and integrated methods, deep learning technology further development, machine learning reached a breakthrough. It then begins with an introduction to the concepts of machine learning theory: understanding the principles, algorithms, and foundations of mathematical frameworks that drive the dev