G2-Nav: Grounded and Guarded Vision-Language Costmaps for Robot Social Navigation
G2-Nav grounds abstract social reasoning from Vision-Language Models (VLMs) into a vision-language costmap for robot navigation. It uses open-set perception and VLM scoring to map social context, incorporating upstream verification and high-frequency safety checks to ensure safe, efficient, and socially compliant movement in real environments.