Route Planning and Control of Intelligent Robot Based on Artificial Intelligence and Virtual Simulation

With the continuous research and development of robotics, intelligent robots have gradually moved from theoretical research to practical applications, and among them, AGV (Automatic Guided Vehicle)have attracted the most attention. Therefore, it is very necessary to sztudy the trace layout and control methods of AGV. On this basis, this paper focuses on the trace layout and control methods of intelligent robots during the movement process, and gives corresponding solutions to the collision and obstacle avoidance problems of intelligent robots. First of all, the more general ROS system is used as the development operating system of the robot, and the three-dimensional modeling and kinematic analysis of the robot are carried out to complete the robot software design. Then, by analyzing the problems existing in the traditional A* algorithm, the route planning algorithm is improved. Finally, the improved algorithm is simulated and compared with data. The experimental results show that the improved A* algorithm reduces the average number of search grids by 56.77%, the average search time by 75.64%, and the average path length by 8.16%, which is suitable for the global path of the robot.