Hierarchical Intelligent Control of Learning Robot Using Camera and System of Artificial Neural Networks

Abstract

The paper presents and provides verification of a new hybrid control architecture intended for the exploitation and navigation of intelligent mobile robots in a complex manufacturing environment. The architecture is based on empirical control and implementation of machine learning in the form of further development of the artificial neural network system for the purposes of generating intelligent behavior of a mobile robot when performing complex robotized tasks within an intelligent manufacturing system. The main scientific and research goal pursued by these research activities was the development of autonomy for the future implementation of intelligent mobile robots, while ensuring reliable exploitation and robustness in terms of the generated control command by using vision system, as the robot's response to the current state of the production environment.