The paper presents information processing methodology for autonomous robot control based on intellectual feedback. The proposed approach is aimed at robot external situations analysis using neural networks and classification trees. We describe how a learning process may be implemented in terms of robot knowledge base formation and demonstrate the application of our method for the task of mobile robot control.