Using Artificial Intelligence to Control Drones

The importance of using drones to optimize results by types of economic activity is presented. The expediency of conducting comprehensive scientific research with the aim of finding new ways of using the presented technology and identifying ways to optimize the control of unmanned vehicles has been proven. It has been established that thanks to the improvement of the drone control system, it is possible to achieve qualitatively new results regarding the collection of various information and solving logistical problems in an extreme environment or conditions of uncertainty. The main factors of the active development of algorithms in the Data science, which allow optimizing various processes in the field of human activity, are presented. The importance of using server storage for the accumulation and processing of large arrays of heterogeneous information is revealed. Features of the transformation of the mathematical models use directions for data processing and the activation of the machine learning algorithms development are given. The reasons for the intensification of artificial intelligence introduction as a technology for making effective management decisions are revealed. The main directions of using artificial intelligence to optimize the management and operation of unmanned aerial vehicles are presented. A conceptual scheme of collection, accumulation and processing of heterogeneous information, which is generated by various devices placed on drones, and directions for applying artificial intelligence to achieve effective results are presented. The expediency of improving pattern recognition technology on a permanent basis has been proven, which will allow more accurate assessment of individual elements of the external environment and increase the efficiency of the logistics systems implementation. The possibility of using artificial intelligence for decision-making in conditions of uncertainty without the influence of the human factor and training on a permanent basis in accordance with the peculiarities of the influence of external and internal environment factors has been established. The expediency of conducting comprehensive research on the establishment of interaction between a certain number of unmanned aerial vehicles thanks to the use of artificial intelligence has been proven. The effectiveness of the drones' group use based on coordination algorithms and a control system implemented thanks to artificial intelligence has been established. The adaptability of interaction and the adoption of optimal decisions by the system of unmanned aerial vehicles during short periods of time in accordance with the manifestation of environmental factors have been proven.