Artificial Intelligence Optimization Design Analysis of Robot Control System

Abstract

In order to improve the accuracy of robot control system, a scheme based on artificial intelligence is proposed. On the basis of the software environment of reinforcement learning simulation platform, a kind of rounding scheme in dynamic environment is designed and simulated. The results show that when the inclination sensor is placed on an inclined plane of 300 and collected for ten times, the maximum error of measurement that can be seen from the experimental data is 0.40. The relative included angles were 30°, 45°, 60°, and 90°, respectively, by compass sensor. The measurement was carried out, and the average value of each angle was measured 5 times. It can be seen from the experimental data that the measurement error meets the requirements of the system. Therefore, it is feasible to use artificial intelligence algorithm to optimize the robot control system.