Hybrid neural-based control system for mobile robot

摘要

The architecture of the control system for mobile robots is proposed in this paper. This architecture is based on a hybrid approach using neural networks for classification of images and organization of associative memory as well as semantic networks for natural language processing and achievement of goals.