UrbanGround: From Local Perception to Spatial Agency in a Real-Scale City
This research tested if current multimodal AI agents can turn local street views into reliable actions across a large city using a sandbox called URBANGROUND. Findings show that while agents are good at short-term visual recognition, their ability to maintain spatial understanding and follow long-range goals breaks down as movement extends.