Yifeng Zhu

INTERPRET: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning

2024

Learning abstract state representations and knowledge is crucial for long-horizon robot planning.We present Inter-PreT, an Large Language Model (LLM)-powered framework for robots to learn symbolic predicates from language feedback of human non-experts during embodied interaction.The …