Hetero-associative memory technology for development of intelligent control systems of autonomous mobile robots

Abstract

The problems of creating artificial intelligence tech- nologies in the control of service robots are considered. Based on the synthesis of artificial neural networks and associative memory, a neural network model of iterative hetero-associative memory has been developed. This model is designed for record- ing, storing and processing sensory and control information. A neural network model of the hierarchical intellectual control system of autonomous mobile robots is proposed. This model, based on the available a priori knowledge, is able to function and adapt to changes in external conditions.