Preprint
Aug 2026
UrbanGround: From Local Perception to Spatial Agency in a Real-Scale City
This paper proposes UrbanGround, the first sandbox to make this question testable in a physically constrained replica of Hong Kong built from territory-wide 3D geospatial data, and hopes it will support broader study of how far current MLLM agents can explore reliably in complex, open-ended urban environments.
Tianjie Ju, Zheng Wu, Yueqing Sun et al.
· 0 citations