Cooperative Control

Cooperative control focuses on coordinating multiple agents, such as robots, vehicles, or UAVs, to achieve a common goal, often optimizing performance metrics like time, energy consumption, or safety. Current research emphasizes distributed control algorithms, often leveraging data-driven approaches like deep reinforcement learning and adaptive machine learning, to handle complex scenarios with unknown network topologies or noisy data, and to improve robustness and adaptability. This field is crucial for advancing autonomous systems in diverse applications, including transportation, infrastructure inspection, and human-robot collaboration, by enabling efficient and safe multi-agent operations.