| license: other | |
| license_name: slab-license | |
| license_link: LICENSE | |
| size_categories: | |
| - 100K<n<1M | |
| task_categories: | |
| - robotics | |
| tags: | |
| - lerobot | |
| - franka | |
| - dynamic | |
| - visual-language-action | |
| - vla | |
| # Dynamic Object Manipulation (DOM) | |
| [**Project Page**](https://haozhexie.com/project/dynamic-vla) | [**Paper**](https://huggingface.co/papers/2601.22153) | [**Code**](https://github.com/hzxie/DynamicVLA) | |
| **TL;DR:** DOM is a large-scale dynamic manipulation dataset with 200K episodes, 2,800+ scenes, and 206 objects for training and evaluating VLA models. | |
| ## Introduction | |
| The Dynamic Object Manipulation (DOM) benchmark is designed to address the challenges of rapid perception and temporal anticipation in robotics. It includes: | |
| - **200K synthetic episodes** across 2,800+ scenes and 206 objects. | |
| - Support for evaluating VLA models in dynamic scenarios requiring continuous control and closed-loop adaptation. | |
| ## Citation | |
| If you find this dataset or the DynamicVLA framework useful for your research, please cite: | |
| ```bibtex | |
| @article{xie2026dynamicvla, | |
| title = {DynamicVLA: A Vision-Language-Action Model for | |
| Dynamic Object Manipulation}, | |
| author = {Xie, Haozhe and | |
| Wen, Beichen and | |
| Zheng, Jiarui and | |
| Chen, Zhaoxi and | |
| Hong, Fangzhou icon, | |
| Diao, Haiwen and | |
| Liu, Ziwei}, | |
| journal = {arXiv preprint arXiv:2601.22153}, | |
| year = {2026} | |
| } | |
| ``` | |
| ## Changelog | |
| - [2026/04/26] The dataset is released. | |
| - [2026/01/31] The repo is created. | |