Development and Application of Robot Automatic Inspection System Technology Based on Machine Learning

Abstract

With the development of artificial intelligence technology, computer technology and other related technologies, there are more and more researches on mobile robots. The robot has gone through three stages: from a simple teaching and reproducing robot to a low-level intelligent robot with vision, hearing, touch and certain adaptability, and then to a high-level intelligent robot with various advanced sensors and self-adaptive and self-learning functions. Intelligent voice inspection robot can be effectively used in petrochemical, oilfield, nuclear industry and other industries, especially in areas where people are inconvenient to reach, such as pipelines, tanks and towers. The robot is not taught what actions to take, but it evaluates the current state through a value function to select actions to maximize the cumulative reward in the long-term goal. This paper focuses on the design and implementation of intelligent voice inspection robot system, hoping to play a certain reference role for the further improvement and development of intelligent voice inspection robot system in China.