Interaction of autonomous unmanned aircraft using artificial intelligence technologies

Scientific and technological progress regularly makes changes in all spheres of human activity and the economy as a whole. The field of unmanned aerial vehicles (UAVs) is also developing rapidly and presents innovations that allow solving existing problems faster and more efficiently. The use of this type of devices allows you to organize fast cargo delivery, conduct search and rescue operations, patrol streets and much more. Most often, each device is controlled individually by a ground pilot or a built-in program and their association into a group to perform a single mission is not provided. To increase the efficiency of UAVs, it is advisable to combine them into one network, thereby organizing an “ensemble of drones”. This paper considers the problem of interaction of a group of autonomous unmanned aerial vehicles (UAVs), as well as their coordination and management through the use of artificial intelligence technology of a new generation. Several types of neural networks that can be used in the operation of quadrocopters are listed. The main options for ground control of drones have been studied. The problem of controlling the grouping of unmanned vessels from ground stations is considered. The cases when the use of this type of devices and technology will be effective and expedient are considered.