Yirong Yang

ReflectVLN's closed-loop mechanism allows navigation agents to dynamically adapt and recover from errors, leading to a notable increase in success rates and efficiency.

SurveilNav achieves state-of-the-art navigation success rates by seamlessly integrating robot perception with multi-view surveillance, transforming how robots can navigate complex environments.