CORDIS Project
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This project develops a framework for ensuring safety in multiagent decision-making systems, such as autonomous vehicles and smart power grids. By integrating advances in control, game theory, and learning, it aims to create scalable algorithms that guarantee safety and performance in real-world applications.
Interactive decision-making among multiple entities is critical in modern control systems, such as autonomous vehicle trajectory planning, resource coordination in smart power grids, and collaborative robotics.
Safety constraints, including collision avoidance in autonomous vehicles and maintaining supply-demand balance in smart grids, are of paramount importance in these systems.
However, ensuring safety remains a significant challenge due to its dependence on agents' coupled actions and stocha…
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
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