Can AI control swarms of drones ?

The control of swarms of drones is a complex task that requires the coordination of multiple drones in real-time. AI can be used to control swarms of drones by analyzing the behavior of individual drones and adjusting their movements to achieve a common goal. This can be used in a variety of applications, including search and rescue missions, surveillance, and package delivery. AI can also be used to develop more efficient and effective algorithms for controlling swarms of drones, allowing for the deployment of larger and more complex swarms. This has the potential to revolutionize fields such as logistics, transportation, and agriculture, where the use of drones can improve efficiency and reduce costs.

Current AI systems can coordinate small to medium swarms of drones (typically tens of units) in tightly controlled environments, using decentralized control, reinforcement learning, and formation algorithms for tasks like search, mapping, or light payload delivery. Research shows success in simulation and limited real-world trials, but scaling to hundreds of heterogeneous drones and handling unpredictable factors like wind, node failures, or GPS denial remain unsolved challenges. Safety, regulatory compliance, and collision avoidance in civilian airspace are also active areas of work.

— Enriched May 12, 2026 · Source: Science Robotics