LLMs work best in autonomous systems when used for reasoning and planning rather than direct control—this hybrid approach maintains safety while gaining contextual understanding for complex driving decisions.
This paper proposes a hybrid autonomous driving system that combines reinforcement learning, PID control, and LLM reasoning through an orchestrator.