Drone Swarm

Drone swarm research focuses on coordinating multiple unmanned aerial vehicles (UAVs) to achieve complex tasks beyond the capabilities of individual drones. Current research emphasizes developing robust control algorithms, often incorporating deep reinforcement learning, generative models (like diffusion models and flow matching), and optimization techniques (such as particle swarm optimization) to manage swarm behavior, including collision avoidance, formation maintenance, and autonomous navigation in GPS-denied environments. These advancements are driving progress in diverse applications, such as autonomous surveillance, search and rescue, delivery services, and even automated drone shows, impacting both the robotics and AI fields.