2 papers
cs.RO2026
SparseNav: Instruction-conditioned Sparse Semantic Perception for Training-Free Vision-Language Navigation
Quanhua Chen, Juhan Kang, Runfeng Lin +5
Map-based vision-language navigation (VLN) relies on persistent spatial representations to connect language understanding with geometric planning. However, acquiring semantics beyo…
cs.CV2026
From Routes to Steps: Separating Semantic Progress from Local Execution in Vision-and-Language Navigation
Xiangyun Huang, Xiangchen Wang, Runfeng Lin +5
Vision-and-Language Navigation (VLN) requires an agent to follow a route-level instruction by executing its constituent steps from egocentric visual observations. Existing VLM-base…