GeoScaffold: Learning Compact Geometric Latents via Reconstruction for Efficient Vision-Language Navigation
cs.RO, cs.CV
Submitted: 2026-10-02
Updated: 2026-10-02
Project page: https://internrobotics.github.io/internvla-n1.github.io/static/pdfs/InternVLA_N1.pdf
Sources
- 1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022)
- Qwen3-VL Technical Report
- NaVILA: Legged Robot Vision-Language-Action Model for Navigation
- PROSPECT: Unified Streaming Vision-Language Navigation via Semantic--Spatial Fusion and Latent Predictive Representation
- Perceptio: Perception Enhanced Vision Language Models via Spatial Token Generation
- DyGeoVLN: Infusing Dynamic Geometry Foundation Model into Vision-Language Navigation
- What Limits Vision-and-Language Navigation ?
- StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling
- Spatial-VLN: Zero-Shot Vision-and-Language Navigation With Explicit Spatial Perception and Exploration
- Uni-NaVid: A Video-based Vision-Language-Action Model for Unifying Embodied Navigation Tasks
- SpatialNav: Leveraging Spatial Scene Graphs for Zero-Shot Vision-and-Language Navigation
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