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README.md

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The toolbox supports the most advanced high-quality navigation dataset, InternData-N1, which includes 3k+ scenes and 830k VLN data covering diverse embodiments and scenes, and the first dual-system navigation foundation model with leading performance on all the benchmarks and zero-shot generalization capability in the real world, InternVLA-N1.
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## 🔥
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## 🔥 News
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- [2025/10] Add a simple [inference-only demo](scripts/notebooks/inference_only_demo.ipynb) of InternVLA-N1.
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- [2025/10] InternVLA-N1 [technique report](https://internrobotics.github.io/internvla-n1.github.io/static/pdfs/InternVLA_N1.pdf) is released. Please check our [homepage](https://internrobotics.github.io/internvla-n1.github.io/).
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- [2025/10] InternVLA-N1 [technical report](https://internrobotics.github.io/internvla-n1.github.io/static/pdfs/InternVLA_N1.pdf) is released. Please check our [homepage](https://internrobotics.github.io/internvla-n1.github.io/).
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- [2025/09] Real-world deployment code of InternVLA-N1 is released.
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- [2025/07] We are hosting 🏆IROS 2025 Grand Challenge, stay tuned at [official website](https://internrobotics.shlab.org.cn/challenge/2025/).
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- [2025/07] InternNav v0.1.1 released.
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**NOTE:**
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- The detailed benchmark results of other baselines will be updated in the next few days.
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- VLN-CE RxR benchmark and StreamVLN will be supported soon.
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## 🔧 Customization

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