Improved RBF Neural Network in the Intelligent Robot Research on Trajectory Planning
Aiming at the increasing demand of intelligent robot trajectory planning in industrial production,a trajectory plan-ning method of industrial robot combining RBF neural network and genetic algorithm was proposed based on the motion model of industrial robot.The network structure,connection weight and threshold of RBF neural network were optimized by genetic algo-rithm,and the trajectory of robot was accurately tracked.The simulation results show that the proposed method is superior to the unimproved trajectory planning algorithm.The results show that,compared with the previous improved planning algorithm,the proposed method has less error and stronger adaptability,and can meet the expected requirements of trajectory planning of indus-trial robots.It provides some reference for the development of trajectory planning method of industrial robot.
NETL
NSTL
万方数据
维普
