Fly0: Persistent Metric Anchoring for Zero-Shot Aerial Vision-Language Navigation
Fly0 introduces a framework that separates semantic reasoning from geometric planning for aerial vision-language navigation (VLN). It uses a multimodal large language model (MLLM) to interpret instructions into 2D coordinates, then leverages depth data for 3D localization and generates collision-free trajectories. Experiments show Fly0 improves success rate by over 20% and reduces navigation error by about 50% compared to state-of-the-art baselines in unstructured environments.
Why it matters: Fly0 enables more robust and efficient zero-shot aerial navigation by reducing reliance on continuous MLLM inference, which lowers latency and enhances stability for real-world drone operations.
Full story at: arXiv Robotics ↗