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GeoWind2Plan 是一个面向城市低空无人机的几何-风场-规划框架，利用局部几何条件神经算子在约 3 秒内预测任务相关的 3D 城市风场（CFD 需约 8 小时），并据此优化能量高效的 3D 路径与速度剖面，相比无风感知规划可减少 4.5%–12.7% 的能耗。
360CityArena is a photorealistic urban navigation benchmark built from 360-degree videos of Tokyo's Akihabara district. It evaluates embodied agents' environment understanding, path reasoning, and spatial reasoning, showing that even strong LMM-based agents like Gemini 2.5 Flash perform far below human level.
WildCity introduces a large-scale multimodal dataset for city-scale urban navigation and spatial representation, collected by autonomous fleets. It provides 18 long trajectories and establishes baselines for reconstruction and closed-loop simulation to advance AI systems that can perceive and reason about city-scale environments.