by Admire-ljb · Agent Tool · ★ 41
中文 · English VoLN: Vision-Only Long-Horizon Navigation—Paradigm, Benchmark, and Method 🌐 Project Page · 📄 Paper · 🤗 Dataset · 🧭 Simulator Environments Visual Demonstrations Simulation — First-Person View Physical Flight — First-Person View Reproduction Scope This README is the reproducibility guide for the released VoLN training and evaluation code. For the method overview, headline results, dataset visualizations, qualitative cases, and simulation/real-world videos, visit the project page.
| Stars | 41 |
| Forks | 4 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 52.6022886043209/100 |
| Open Issues | 1 |
| Last Updated | 2026-08-04 |
| Created | 2026-03-26 |
| Platforms | python |
| Est. Tokens | ~13k |
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VoLN-UAV is Official code for VoLN: Vision-Only Long-Horizon Navigation—Paradigm, Benchmark, and Method. An embodied AI UAV benchmark and VoLN-MLLM agent bridging VLN and multimodal LLMs across 7,210 episodes, Ai. It is categorized as a Agent Tool with 41 GitHub stars.
VoLN-UAV is primarily written in Python. It covers topics such as airsim, benchmark, embodied-ai.
You can find installation instructions and usage details in the VoLN-UAV GitHub repository at github.com/Admire-ljb/VoLN-UAV. The project has 41 stars and 4 forks, indicating an active community.
VoLN-UAV is released under the MIT license, making it free to use and modify according to the license terms.