Analysis of Optimization Control Method for Automated Assembly Line Intelligent Robot Based on Deep Learning
This paper describes an artificial intelligence based optimization control method for automated assembly line intelligent robots.By establishing a target model of the intelligent robot,a deep learning based control algorithm is designed to train the robot,and the efficiency and accuracy of the assembly line are explored as optimization objectives.Neural networks are used to control the robot.The experimental results show that this method can significantly improve the efficiency and accuracy of the assembly line.
NETL
NSTL
万方数据
维普
