LTL Synthesis

LTL synthesis aims to automatically generate controllers that satisfy complex temporal logic specifications, ensuring systems behave as desired. Current research focuses on improving the efficiency and scalability of synthesis algorithms, including leveraging machine learning to guess winning strategies and employing techniques like functional synthesis to handle richer specification languages beyond propositional LTL. These advancements are crucial for enabling the automated design of robust and reliable systems in various domains, such as robotics and control systems, where formal verification is paramount.