Simulation of Path Planning Model of Manipulator Based on Artificial Intelligence Algorithm

Path planning of manipulator is to discuss the method of calculating trajectory. In reality, it is difficult to ensure the whole movement of rigid body and the sudden jitter of movement. Therefore, we have to study the trajectory planning of manipulator in depth to meet the increasing performance requirements. In view of this, this paper constructs a path planning model of manipulator based on AI (Artificial intelligence) algorithm, and carries out simulation. In this paper, the $D-H$ coordinate model of the manipulator is established according to the D-H method, the adaptive model of the manipulator is constructed, and the parameter vector of the manipulator is calculated to improve the control performance. At the same time, the simulation of trajectory planning based on MATLAB verifies the feasibility of the algorithm. Finally, the evaluation results show that the success rate of this algorithm is $94.68 \%$, which is about $10.8 \%$ higher than that of the optimal time trajectory planning method in the cross-validation comparative experiment that limits the number of decisions per round. This shows that the robot’s path planning model based on AI algorithm can make the robot’s motion smooth and stable, reduce the impact vibration, further improve the efficiency of the robot, and then achieve the high-speed and high-precision work requirements of the robot.