Quadrotor Swarm

Quadrotor swarms research focuses on enabling coordinated autonomous flight of multiple drones, aiming for efficient and robust collective behaviors. Current efforts concentrate on developing advanced control algorithms, such as reinforcement learning and alternating minimization methods, to address challenges like close-proximity flight, obstacle avoidance in complex environments, and resilience to individual drone failures. These advancements are crucial for realizing practical applications in areas such as aerial surveillance, cargo transportation, and search and rescue, while also pushing the boundaries of distributed control and multi-agent systems research.