Neurosymbolic planning using natural language communication for cooperative autonomous vehicles

The article presents a neurosymbolic planning framework that enables cooperative autonomous vehicles to communicate intentions and observations using natural language, improving decision-making in complex, partially observable environments such as intersections with occlusions. This approach integrates symbolic reasoning with neural perception to enhance situational awareness and coordination between vehicles.