Control Strategy for Learning Industrial Robot Based on Artificial Neural Network System

Abstract

The article presents the hierarchical intelligent control of an industrial robot using a system of artificial neural networks, based on an empirical control strategy. For the purposes of implementing this control strategy, a zero version of the "BPnet" software was developed, which is presented in this article. This article provides an insight into a completely new approach to the intelligent control of industrial robots. This type of control of industrial robots provides a much wider domain of autonomy in the execution of technological tasks of manipulation of parts, so that these robots can be said to have the ability of machine learning based on "own experience".