Optimization and Control of Autonomous UAV Swarm for Object Tracking

Unmanned Aerial Vehicles (UAVs) swarms are emerging technologies with the ability to carry out a wide range of military missions aiming to avoid human casualties. The UAVs' ability to access remote and inaccessible territories while gathering critical intelligence can be critical. Therefore, swarm real-time coordination on the fly is vital for information exchange and dynamically updating the flying hierarchy without failing the mission. Nevertheless, coordinating UAV swarms to execute maneuvers poses a complex challenge. In our Demonstration, we execute an on-the-fly swarm update based on unexpected or urgent events during the missions to avoid collisions and ensure mission safety. This demo shows a "find and rescue" military mission for security operations using a swarm of UAVs to track other adversaries' UAVs in a restricted area, which requires advanced swarm synchronization and on-the-fly decisions. For this demo, we conducted a successful flying swarming coordination for dynamic on-the-fly maneuvers with a reliable collision avoidance mechanism.