Formation Control

Formation control, the coordinated movement of multiple agents to achieve a desired geometric pattern, aims to maintain formation integrity while accomplishing tasks such as navigation, surveillance, or data collection. Current research emphasizes robust and resilient control strategies, addressing challenges like communication constraints, obstacle avoidance, and adversarial environments through techniques such as model predictive control, reinforcement learning (including multi-agent proximal policy optimization), and graph attention networks. These advancements are significant for diverse applications, including multi-robot systems, unmanned aerial vehicles (UAVs), and underwater vehicles, improving efficiency, scalability, and safety in collaborative tasks.