OPTIMIZATION OF DEFENDER DRONE SWARM BATTLE MANEUVER FOR GAINING AIR SUPERIORITY BY COMBINING ARTIFICIAL AND HUMAN INTELLIGENCE THROUGH HAND GESTURE CONTROL SYSTEM

In a defensive military strategy, having air superiority brings many bene-fits. A drone swarm is one of the most effective approaches to gaining air superiority. Consequently, drone swarm battles may become the trend of military battles. Nowadays, some magnificent artificial intelligence approaches have emerged to effectively control the drone swarm movement autonomously as a tactical defense mechanism. However, artificial intelligence has weaknesses in a dynamic environment, like a military battle. We highlight that human intelligence is an unreplaceable factor for arranging a defense military strategy for gaining air superiority, even when using a drone swarm. Here, we propose the combination mechanism of artificial and human intelligence in conducting defender drone swarm movement. We develop an intelligent control system where a human can collaborate to arrange drone swarm maneuvers in real time. The system is built to optimize the defender drone swarm maneuver’s effectiveness to minimize the dam-age to the area they guard. A human can dynamically change drone swarm maneuvers in our proposed system by performing some hand gestures movement. According to our experiment, human involvement in our framework increases the defender drone swarm group’s effectiveness because a human can naturally control the drone maneuver using hand gestures.