Hybrid Intelligent Mobile Robot Control System

The paper proposes the architecture of the information system of a mobile robot, focused on interacting with a robot in a natural language using recurrent neural networks. To implement this architecture a hybrid approach was employed. The LSTM-model are using for recognition of natural language commands and then logical rules for action selection.