Datasets:
Formats:
parquet
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
embodied-ai
embodied-navigation
urban-airspace
drone-navigation
multimodal-reasoning
spatial-reasoning
License:
Use arXiv HTML paper link
Browse filesUpdate the dataset card arXiv badge and BibTeX URL to https://arxiv.org/html/2604.07973v1.
README.md
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# EmbodiedNav-Bench
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[](https://github.com/serenditipy-AC/Embodied-Navigation-Bench)
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[](https://arxiv.org/
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EmbodiedNav-Bench is a goal-oriented embodied navigation benchmark for evaluating spatial action in urban 3D airspace. The benchmark contains 5,037 high-quality navigation trajectories with natural-language navigation goals, initial drone poses, target positions, and ground-truth 3D trajectories.
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eprint={2604.07973},
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archivePrefix={arXiv},
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primaryClass={cs.AI},
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url={https://arxiv.org/
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}
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```
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# EmbodiedNav-Bench
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[](https://github.com/serenditipy-AC/Embodied-Navigation-Bench)
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[](https://arxiv.org/html/2604.07973v1)
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EmbodiedNav-Bench is a goal-oriented embodied navigation benchmark for evaluating spatial action in urban 3D airspace. The benchmark contains 5,037 high-quality navigation trajectories with natural-language navigation goals, initial drone poses, target positions, and ground-truth 3D trajectories.
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eprint={2604.07973},
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archivePrefix={arXiv},
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primaryClass={cs.AI},
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url={https://arxiv.org/html/2604.07973v1},
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}
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```
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