Add robotics task category, project links and citation

README.md

@@ -2,22 +2,49 @@
 license: other
 license_name: slab-license
 license_link: LICENSE
-tags:
+size_categories:
+- 100K<n<1M
+task_categories:
 - robotics
+tags:
 - visual-language-action
 - vla
-size_categories:
-- 100K<n<1M
 ---
 
-# Dynamic Object Manipulation
+# 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.
 
-[![arXiv](https://img.shields.io/badge/arXiv-2601.22153-b31b1b.svg)](https://arxiv.org/abs/2601.22153)
+## 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
+## Changelog
 
 - [2026/01/31] Repo is created. Please stay tuned!