RiverVLN: Phase-Grounded Temporal Vision--Language Navigation for Unmanned Surface Vehicles

arXiv:2609.23423 · cs.RO, cs.AI · Submitted 2026-09-20 · Read on arXiv

cs.RO, cs.AI

Submitted: 2026-09-20

Updated: 2026-09-20

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Grounding — 38× in this paper · explained in 3 episodes
• Benchmark — 11× in this paper · explained in 2 episodes
• Transformer — 10× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Accuracy — 4× in this paper · explained in 1 episode
• Conference on Computer Vision and Pattern Recognition — 3× in this paper
• International Conference on Robotics and Automation — 3× in this paper
• Visual Grounding — 3× in this paper · explained in 2 episodes
• CVF International Conference on Computer Vision — 2× in this paper
• Consistency — 2× in this paper · explained in 3 episodes
• Deep Reinforcement Learning — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Phase Transitions — 2× in this paper · explained in 2 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• 3D scene conditioning — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Embeddings — 1× in this paper · explained in 2 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Steering — 1× in this paper · explained in 2 episodes

Sources

• Sparse Video Generation Propels Real-World Beyond-the-View Vision-Language Navigation
• WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN
• GN0: Toward a Unified Paradigm for Generation, Evaluation, and Policy Learning in Visual-Language Navigation

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