Planning Language

Planning languages aim to formally represent and solve complex planning problems, bridging the gap between human-understandable descriptions and machine-executable instructions. Current research focuses on improving the translation of natural language descriptions into structured planning languages like PDDL, leveraging large language models (LLMs) to enhance both accuracy and the handling of dynamic environments, including human interaction. This work is crucial for advancing robotics, AI planning systems, and other applications requiring automated reasoning and action sequencing, particularly in complex, real-world scenarios.