Weihao Cai

Vision-Language Guided Adaptive Robot Action Planning: Responding to Intermediate Results and Implicit Human Intentions

Recent advances in research have demonstrated that Vision-Language Models (VLMs) are a promising technology for robot task planning. This paper presents a novel approach that leverages visual prompts and VLMs to generate feasible robot action sequences for achieving shared tasks through human-robot