(University of Žilina, 2024) Gúcky, Jozef; Bugaj, Martin
This thesis addresses the challenges and solutions to the management of groups of unmanned aerial vehicles (UAVs). Using a comparative analysis approach, the research evaluates UAV group management methods in terms of their effectiveness under various criteria. The findings suggest that swarm algorithms, inspired by the collective behavior of natural systems, offer a better approach to achieve decentralized, adaptive, and scalable control of UAV groups. This thesis contributes to this field by providing a comprehensive analysis of UAV group management strategies and demonstrating the benefits of swarm algorithms across a variety of criteria. This research has implications for enhancing the capabilities and effectiveness of UAVs in applications such as search and rescue, environmental monitoring, etc.
