Calculation of robot parameters based on neural nets

Abstract

The paper describes applications of recurrent neural network and back propagation learning method for calculation of mathematical model for PUMA 560 robot. The model is based on the Lagrange-Euler formulation and described by a set of nonlinear differential and algebraic equations. A numerical example has shown the comparison of neural model and robot manipulator.