Air-Ground Collaborative Vision-and-Language Navigation via Shared Bird's-Eye Maps

arXiv:2609.03483 · cs.RO, cs.AI · Submitted 2026-09-03 · Read on arXiv

cs.RO, cs.AI

Submitted: 2026-09-03

Updated: 2026-09-08

Comments: 8 pages, 5 figures

Code: https://github.com/ZSN2024/AGC-VLN

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

Terminology

• Ablation — 9× in this paper · explained in 1 episode
• VLA Models — 6× in this paper · explained in 3 episodes
• Benchmark — 5× in this paper · explained in 2 episodes
• Vision-and-Language Navigation — 5× in this paper
• Foundation Model — 3× in this paper · explained in 3 episodes
• International Conference on Learning Representations — 3× in this paper
• Calibration — 2× in this paper · explained in 7 episodes
• Closed-Loop Control — 2× in this paper · explained in 2 episodes
• Cooperation — 2× in this paper · explained in 2 episodes
• Decoupling — 2× in this paper · explained in 2 episodes
• Navigation Error — 2× in this paper
• Action Space — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Conference on Robot Learning — 1× in this paper
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Uni-LaViRA: Language-Vision-Robot Actions Translation for Unified Embodied Navigation
• Fly0: Persistent Metric Anchoring for Zero-Shot Aerial Vision-Language Navigation
• CARLA-Air: Fly Drones Inside a CARLA World -- A Unified Infrastructure for Air-Ground Embodied Intelligence
• AirGroundBench: Probing Spatial Intelligence in Multimodal Large Models under Heterogeneous Multi-View Embodied Collaboration
• Can Aerial VLA Models Cooperate? Evaluating Closed-Loop Air-Ground Coordination with CARLA-Air
• ABot-N1: Toward a General Visual Language Navigation Foundation Model
• LongNav-R1: Horizon-Adaptive Multi-Turn RL for Long-Horizon VLA Navigation
• OmniVLN: Omnidirectional 3D Perception and Token-Efficient LLM Reasoning for Visual-Language Navigation across Air and Ground Platforms
• CLOSER-VLN: Closed-Loop Self-Verified Retrieval-Augmented Reasoning for Aerial Vision-Language Navigation
• FSD-VLN: Fast-Slow Dual-System Modeling for Aerial Long-Horizon Vision-Language Navigation
• SpatialUAV: Benchmarking Spatial Intelligence for Low-Altitude UAV Perception, Collaboration, and Motion
• Towards Reliable Aerial Ground Vehicle Collaboration: An Integrated Planning and Autonomy Framework for Field Deployment
• Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap
• Gemini: A Family of Highly Capable Multimodal Models
• See-and-Reach: Precise Vision-Language Navigation for UAVs within the Field of View

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