Multi Drone

Multi-drone systems research focuses on coordinating multiple unmanned aerial vehicles (UAVs) to achieve complex tasks more efficiently than single drones. Current research emphasizes optimizing drone trajectories and resource allocation using techniques like reinforcement learning (including multi-agent and deep reinforcement learning), genetic algorithms, and graph convolutional networks, often integrated with advanced control strategies and communication protocols. These advancements are driving progress in diverse applications, including logistics, search and rescue, environmental monitoring, and collaborative object manipulation, improving efficiency and robustness in challenging environments.