File size: 1,571 Bytes
3503802 f239101 3503802 f239101 3503802 f239101 3503802 f239101 3503802 f239101 3503802 f239101 3503802 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 |
---
license: other
license_name: slab-license
license_link: LICENSE
size_categories:
- 100K<n<1M
task_categories:
- robotics
tags:
- 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.
- **2K real-world episodes** collected without teleoperation.
- 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},
volume = {2601.22153},
year = {2026}
}
```
## Changelog
- [2026/01/31] Repo is created. Please stay tuned! |