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Preprint Sep 2026

Map the Possibilities: Spatial Belief Fields for Language-Goal Aerial Navigation

SBFNav is introduced, a closed-loop navigation framework centered on a language- conditioned Spatial Belief Field (SBF) that preserves multiple spatial hypotheses under par- tial evidence and further confirms the advantages of spatial-belief modeling over single-point prediction.

Hao-Tian Xu, Yue Hu, Zheng-Qiu Zhu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Towards Embodied Air-Ground Cooperative Object Search: Benchmark, Dataset and Agentic Method

Air-Ground Object Search (AGOS) in urban environments is a challenging embodied task, which requires an Unmanned Aerial Vehicle (UAV) and an Unmanned Ground Vehicle (UGV) to jointly search for and verify a specified target vehicle from multi-view visual references. To study this underexplored problem, we introduce AGOS...

Bokyung Yu, Zi-Mo Chen, Jun-Reng Rao et al. · 1 citation · ⚡1

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