Based on neural network servo control system design

The Robot visual servo control system is a main research direction in the current robot control. The robot kinematics and dynamics equation are the foundation of the design. Based on the neutral network of image servo control system. Image acquisition means adopts binocular vision camera, effectively get three-dimensional space information, and based on the nonlinear transform ability of neural network control neurons. Stimulation and experimental results show that the controller´s dynamic adjusting process is faster and the error is smaller, and improving the precision of the calibration and calibration robustness compared with the traditional calibration approach.