Drone Flocking

Drone flocking research aims to create coordinated swarms of unmanned aerial vehicles (UAVs) capable of performing complex tasks collaboratively. Current efforts focus on developing robust control algorithms, such as those employing multi-objective optimization (e.g., NSGA-II) and spatial predictive control, to manage multiple objectives like collision avoidance and speed while maintaining swarm cohesion. Furthermore, innovative human-machine interfaces, including natural language processing via large language models, are being explored to improve intuitive control and task specification. This field holds significant promise for diverse applications, including search and rescue, precision agriculture, and industrial automation.