When Maps Are Incomplete: Evaluating Vision-Language-Guided Navigation Against Nav2
Real-world mobile robots may not always have access to complete or accurate prior maps. In such cases, vision-language models (VLMs), which combine visual perception with semantic reasoning, offer a promising way to interpret environmental changes and revise navigation decisions. This study develops and evaluates two V...