Calculation of Model of the Robot by Neural Network with Robot Joint Distinction

There is presented the design of the feedforward neural network for calculation of coe#cients of the robot model. Proposed method distinguishes the degrees of freedom and improves the performance of the network using information about the control signals. A numerical example for calculation of the neural network model of Puma 560 robot is presented