Neural network solution for forward kinematics problem of HEXA parallel robot

Forward kinematics problem of parallel robots is very difficult to solve in comparison to the serial manipulators. This problem is almost impossible to solve analytically. Numerical methods are one of the common solutions for this problem. But, convergency of these methods is the drawback of using them. In this paper, neural network approach is used to solve the forward kinematics problem of the HEXA parallel manipulator. This problem is solved in the typical workspace of this robot. The results show the advantages of this method in providing very small modeling errors.