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Running on Zero
Running on Zero
| title: DynamicVLA DOM Demo | |
| emoji: 🦾 | |
| colorFrom: green | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 6.24.0 | |
| app_file: app.py | |
| short_description: Predict DynamicVLA action chunks on DOM | |
| python_version: "3.12" | |
| startup_duration_timeout: 1h | |
| # DynamicVLA · DOM Demo | |
| Unofficial Hugging Face Space for [`hzxie/dynamic-vla-DOM`](https://huggingface.co/hzxie/dynamic-vla-DOM) — | |
| a 0.4B vision-language-action policy for **dynamic object manipulation**. | |
| Upload wrist + opposite-camera frames and a language instruction. The Space | |
| loads the official checkpoint and returns a **20-step end-effector action chunk** | |
| (xyz + Euler + gripper) with a 3D path plot. | |
| This is a single-chunk policy demo. Closed-loop evaluation still needs the | |
| official [Isaac Lab stack](https://github.com/hzxie/DynamicVLA). | |
| - Paper: [arXiv:2601.22153](https://arxiv.org/abs/2601.22153) | |
| - Dataset: [`hzxie/DOM`](https://huggingface.co/datasets/hzxie/DOM) | |
| - Project: [infinitescript.com/project/dynamic-vla](https://www.infinitescript.com/project/dynamic-vla/) | |
| Weights are released under NTU S-Lab License 1.0. This Space vendors the | |
| policy code from the official repo for inference only. | |