chenglongy/env_codebase
SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Models (RSS 2025) A spatial-enhanced vision-language-action model trained on 1.1 Million real robot episodes. 🤗 purely huggingFace-based, concise code with efficient performance. Delin Qu*1,2, HaomingSong*1,3, Qizhi Chen*1,4, Dong Wang†1, Yuanqi Yao1, X. Ye1, Y. Ding1, Z. Wang1, Jiayuan Gu5, Bin Zhao†1, Xuelong Li1,6 Shanghai AI Laboratory1, Fudan University2, Shanghai Jiao Tong University3, Zhejiang… See the full description on the dataset page: https://huggingface.co/datasets/chenglongy/env_codebase.
| Author / organization | chenglongy |
|---|---|
| Downloads | 144 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 11 November 2025 |
| Last updated at source | 11 November 2025 |
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