Visual Cue Guided Video Planning for Generalizable Robot Navigation

arXiv:2609.16737 · cs.RO, cs.AI, cs.CV, cs.LG · Submitted 2026-09-15 · Read on arXiv

cs.RO, cs.AI, cs.CV, cs.LG

Submitted: 2026-09-15

Updated: 2026-09-16

Comments: Project website: https://cuenav.github.io

Project page: https://cuenav.github.io

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

Terminology

• Grounding — 9× in this paper · explained in 3 episodes
• Generalization — 6× in this paper · explained in 13 episodes
• Foundation Model — 5× in this paper · explained in 3 episodes
• Transformer — 5× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Action Space — 3× in this paper · explained in 1 episode
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Inverse-Dynamics Model — 3× in this paper
• Action Translation — 2× in this paper · explained in 1 episode
• Adaptation — 2× in this paper · explained in 1 episode
• Foundation Models — 2× in this paper · explained in 7 episodes
• Unified Framework — 2× in this paper · explained in 5 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 2 episodes
• IEEE International Conference on Robotics and Automation — 1× in this paper
• Recent Vision-Language Navigation — 1× in this paper
• Zero-Shot Generalization — 1× in this paper · explained in 5 episodes

Sources

• ABot-N1: Toward a General Visual Language Navigation Foundation Model
• Enhancing Generalization in Vision-Language-Action Models by Preserving Pretrained Representations
• ImagiNav: Scalable Embodied Navigation via Generative Visual Prediction and Inverse Dynamics
• ImagineUAV: Aerial Vision-Language Navigation via World-Action Modeling and Kinodynamic Planning
• Robostral Navigate
• DreamToNav: Generalizable Navigation for Robots via Generative Video Planning
• Sparse Video Generation Propels Real-World Beyond-the-View Vision-Language Navigation
• Wan: Open and Advanced Large-Scale Video Generative Models
• Turning Video Models into Generalist Robot Policies
• LoRA: Low-Rank Adaptation of Large Language Models
• StreamVLN: Streaming Vision-and-Language Navigation via SlowFast Context Modeling
• DeepMind Lab

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