Lanling Tang

FLTRNN: Faithful Long-Horizon Task Planning for Robotics with Large Language Models

Recent planning methods based on Large Language Models typically employ the In-Context Learning paradigm. Complex long-horizon planning tasks require more context(including instructions and demonstrations) to guarantee that the generated plan can be executed correctly. However, in such conditions, L…