RPMS: Enhancing LLM-Based Embodied Planning through Rule-Augmented Memory Synergy

Zhenhang Yuan, Shenghai Yuan, Lihua Xie

LLM agents often fail in closed-world embodied environments because actions must satisfy strict preconditions -- such as location, inventory, and container states -- and failure fe…