Large language models for human–robot interaction: A review

The fusion of large language models and robotic systems has introduced a transformative paradigm in human–robot interaction, offering unparalleled capabilities in natural language understanding and task execution. This review paper offers a comprehensive analysis of this nascent but rapidly evolving domain, spotlighting the recent advances of Large Language Models (LLMs) in enhancing their structures and performances, particularly in terms of multimodal input handling, high-level reasoning, and plan generation. Moreover, it probes the current methodologies that integrate LLMs into robotic systems for complex task completion, from traditional probabilistic models to the utilization of value functions and…