Autonomous Planning

Autonomous planning research focuses on enabling machines to generate and execute plans independently, adapting to dynamic environments and unforeseen circumstances. Current efforts leverage large language models (LLMs) to manage complex tasks by decomposing them into sub-problems and integrating diverse AI models, alongside reinforcement learning and physics-guided neural networks for improved efficiency and safety, particularly in robotics and autonomous driving. This field is crucial for advancing robotics, autonomous vehicles, and other intelligent systems, promising increased efficiency, safety, and adaptability in various applications.