UAV Swarm

UAV swarms, groups of unmanned aerial vehicles working collaboratively, are being actively researched for applications like environmental monitoring, search and rescue, and data collection. Current research focuses on developing decentralized control algorithms, often inspired by natural swarm behavior, and employing machine learning techniques like reinforcement learning and deep neural networks for tasks such as path planning, collision avoidance, and cooperative perception. These advancements are improving the efficiency, robustness, and autonomy of UAV swarms, leading to significant potential for diverse practical applications and driving innovation in distributed systems and AI.