Intelligent Interfaces in Control Complexes of Unmanned Aerial Vehicles

The problem of constructing a universal interface and an integrated intelligent system for speech, gesture and telecommand control of robotic systems, including vehicles and aircraft, is considered. Integrated information and its processing mean can be received and stored in databases and knowledge on board and at ground control stations. The approach to constructing a combined interface for a control system of an unmanned aerial vehicle (UAV) of the quadcopter type, integrating various methods of input, processing and transmission of information, is considered. The main goal of the integration is to increase the reliability of the quadcopter control system operating in a complex interference environment due to the presence of several channels united by one task - ensuring accurate interpretation of control received simultaneously through several alternative channels or sequentially depending on the state of the problem environment and the task being solved. Software implementation using artificial neural networks (ANN) is performed and experimental verification of recognition algorithms is carried out, it is shown that the proposed approach provides high accuracy and completeness of recognition. © 2025 Elsevier B.V., All rights reserved.