InfraVLA: Extending Vision-Language-Action Navigation with Infrastructure Cameras

arXiv:2609.33647 · cs.RO · Submitted 2026-09-27 · Read on arXiv

cs.RO

Submitted: 2026-09-27

Updated: 2026-09-27

Comments: 8 pages, 6 figures. Submitted to ICRA 2027

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

Terminology

• Ablation — 3× in this paper · explained in 1 episode
• Embeddings — 3× in this paper · explained in 2 episodes
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Calibration — 1× in this paper · explained in 7 episodes
• Cooperation — 1× in this paper · explained in 2 episodes
• Covariate Shift — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Point Clouds — 1× in this paper · explained in 2 episodes
• Regret — 1× in this paper · explained in 3 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Two-stage training — 1× in this paper · explained in 2 episodes
• VLA Models — 1× in this paper · explained in 3 episodes
• Vision-Language-Action (VLA) Models — 1× in this paper · explained in 2 episodes

Sources

• SurveilNav: Collaborative Object Goal Navigation with Robot and Surveillance System
• IndoorR2X: Indoor Robot-to-Everything Coordination with LLM-Driven Planning
• MM-Nav: Multi-View VLA Model for Robust Visual Navigation via Multi-Expert Learning
• E-VLA: Event-Augmented Vision-Language-Action Model for Dark and Blurred Scenes
• Llama 2: Open Foundation and Fine-Tuned Chat Models
• NavDP: Learning Sim-to-Real Navigation Diffusion Policy with Privileged Information Guidance

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