I investigate the coordination and control of multiple autonomous agents to achieve collective goals. My work in this domain includes developing decentralized control strategies, communication protocols, and decision-making algorithms that enable teams of robots or other autonomous entities to collaborate effectively and robustly in dynamic environments. These systems are designed to solve problems like target tracking, formation control, and cooperative task execution, ensuring that agents can work together seamlessly even in the presence of uncertainties and disturbances. These results involve sophisticated use of graph theory and tools such graph neural networks to model and analyze the interactions between agents.