Machine Learning Algorithm for Robotic Inverse Kinematic Problem

This work proposes a numerical approach based on a machine learning method associated to neural network back-propagation algorithm to solve the inverse kinematic problem. The algorithm was tested on a redundant manipulator. Obtained numerical results exhibit acceptable accuracy and precision compatible with standard industrial applications.