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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.0//EN">
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<head>
<!-- 支持中文 -->
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<title>Hao Dong - Peking University</title>
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</head>
<body>
<div id="container">
<div class='section_div'>
<table id="personal_info">
<tr>
<td><img class="photo_of_me" src="images/haodong/haodong10.png" width=180px
style="border: 1px solid black; float:left; margin-right:15px" /></td>
<td>
<div id="DocInfo">
<h1>Hao Dong</h1>
<!-- 董豪 助理教授 博士生导师 北京大学-计算机学院-前沿计算研究中心 <br><br> -->
董豪 北京大学 助理教授 博士生导师 国家级青年人才计划 北大博雅青年学者<br><br>
hao.dong@pku.edu.cn<br><br>
<a href="https://scholar.google.com/citations?hl=en&user=xLFL4sMAAAAJ&view_op=list_works&sortby=pubdate">Google Scholar</a> /
<!-- <a href="https://www.researchgate.net/profile/Hao_Dong35">Research Gate</a> </a> /
<a href="https://dblp.uni-trier.de/pers/hd/d/Dong_0003:Hao">DBLP</a> </a> / -->
<!-- Github: -->
<a href="https://github.com/zsdonghao">Github</a> </a>
<!-- / -->
<!-- <a href="https://github.com/hyperplane-lab">Lab</a> </a> -->
<!-- https://orcid.org/0000-0002-7984-9909 -->
<br> <br>
<!-- <li>
<span style="font-weight:bold;">Open positions available (
<a href="recurit/phd.html">Ph.D</a>,
<a href="recurit/postdoc.html">Postdoc</a>,
<a href="recurit/engineer.html">Engineers</a>,
Interns ). Contact me for details.</span>
</li> -->
</div><br>
</td>
</tr>
</table>
<h2>About Me</h2>
<!-- 董豪，北京大学计算机学院前沿计算研究中心，助理教授，博士生导师。研究方向为人工智能、机器人和计算机视觉。 -->
<!-- 董博士于2019年在英国帝国理工学院获博士学位，2012年获得英国帝国理工学院一等硕士学位、2011年获得英国中央兰开夏大学获一等学士学位。 -->
<!-- <br><br> -->
I am an Assistant Professor at School of Computer Science, Peking University,
where
I lead <a href="#lab"> PKU-Agibot Lab</a>.
<!-- I am also affiliated with Beijing Academy of Articial Intelligence (BAAI 北京智源). -->
<!-- and PengCheng Lab (鹏城实验室). -->
My current research focuses on embodied AI, large models, reinforcement learning and computer vision.
<!-- My current research focuses on several exciting areas: robot vision, robotic manipulation, embodied large models, navigation and autonomous decision making. -->
Our goal is to find the scaling law to create a cost-effective and autonomous robot system.
<!-- <a href="https://yoshuabengio.org/2023/05/07/ai-scientists-safe-and-useful-ai/">in a strictly safe way</a>, -->
<!-- not limited to industrial applications and home assistance scenarios. -->
<!-- aiming to make AI benefits a global scale. -->
Our work has been recognized as a <a href="images/award/.png">Best Application Paper Finalist</a> at IROS.
<!-- and the <a href="images/award/2022 MyoChallenge NeurIPS.png">Winner of MyoChallenge</a> at NeurIPS. -->
<br><br>
Additionally, I am fortunate to serve as an Area Chair or Senior Program Committee member for CVPR, NeurIPS and AAAI conferences,
and as the Associate Editor of ICRA and Machine Intelligence Research. I received the
<a href="images/award/2023 MIR Oustanding Associate Editor Award-Hao Dong.pdf">MIR Outstanding Associate Editor Award</a>.
Also, I have been involved in open source AI system for a long time, I have led several open source projects, such as
<a href="https://prsorg.github.io">Polar Research Station</a>,
<a href="https://github.com/tensorlayer">TensorLayer</a>
<a href="https://github.com/tensorlayer"><img alt="GitHub Stars" style="vertical-align:middle" src="https://img.shields.io/github/stars/tensorlayer?style=social"/></a>
and <a href="https://github.com/openmlsys">OpenMLsys</a> <a href="https://github.com/openmlsys"><img alt="GitHub Stars" style="vertical-align:middle" src="https://img.shields.io/github/stars/openmlsys?style=social"/></a>
, and have won the <a href="paper/ACM MM Certification.pdf">Best Open Source Software Award</a> at ACM Multimedia, as well as the OpenI Outstanding Project Award twice.
<br>
<details><summary><b><font color="1367a7">more</font></b></summary>
Before joining PKU, I obtained my Ph.D. degree from Imperial College London
under the supervision of <a href="https://www.imperial.ac.uk/people/y.guo">Yike Guo</a>.
<!-- <a href="https://provost.hkust.edu.hk/meet_the_provost.html">Yike Guo</a> -->
<!-- He is a Ph.D. student at the Department of Computing of Imperial College London under the supervision of Prof. Yike Guo and Prof. Paul M. Matthews. -->
<!-- My research involves computer vision with the goal of recreating and interacting the world. -->
<!-- My current research involves deep learning and computer vision with the goal of reducing the data required for learning intelligent systems. -->
<!-- and has publications on ICCV, TIFS, TMI, TNSRE, ACM MM, etc.
He is an active reviewer of SIGGRAPH, TIP, TKDE, Neurocomputing, PLUS ONE, etc. -->
<!-- I am passionate about popularising artificial intelligence technologies and established <a href="https://tensorlayer.readthedocs.io">TensorLayer</a>, a deep learning and reinforcement learning library for scientists and engineers, which won the <a href="paper/ACM MM Certification.pdf">Best Open Source Software Award</a> at ACM Multimedia 2017. -->
<!-- MSc specialist degree (visual information processing) -->
Prior to my Ph.D., I received a MSc degree with distinction from Imperial,
and a first-class BEng degree from the University of Central Lancashire.
Furthermore, I have founded a startup focused on AI-driven hardware between 2012 and 2015.
</details>
</div>
<hr>
<div class='section_div'>
<h2>News</h2>
<li><b><font color="red" style="background-color:yellow;" >NEW</font> </b> 近期中文报告：
<ul>
<li> <a href="https://www.bilibili.com/video/BV1zU411U7q1/?buvid=XU591F45A80C6AEDE9C3A6A9417168E61D514&from_spmid=dt.dt-video-quick-cosume.video.0&is_story_h5=false&mid=Dsm%2BIb%2FVzua%2BbxtpKXqKKw%3D%3D&plat_id=116&share_from=ugc&share_medium=android&share_plat=android&share_session_id=374ab0c8-53ad-46e8-b37d-5e1d76b8995a&share_source=WEIXIN&share_tag=s_i&spmid=united.player-video-detail.0.0×tamp=1721912552&unique_k=lFEQrR1&up_id=622988882&share_times=6&wxfid=o7omF0SUhFWtNqcVlXQdHtNhdpSo&vd_source=9486a6185d2390720d5d92dbddc724cb"> 《具身智能关键技术研究：操纵、决策、导航》（2024.6）</a></li>
<li> <a href="https://www.bilibili.com/video/BV1ggWreDExa/?buvid=Z645F66B7DAB64154BEEB8E2B959A109DBE7&is_story_h5=false&mid=CYNhxo%2BNiGPK%2F8K%2BHj0MJQ%3D%3D&plat_id=114&share_from=ugc&share_medium=iphone&share_plat=ios&share_session_id=7D66E54C-2086-49A8-B156-ABB763B0556E&share_source=WEIXIN&share_tag=s_i×tamp=1724593839&unique_k=uEqX0Ix&up_id=622988882&vd_source=9486a6185d2390720d5d92dbddc724cb">《具身智能技术趋势分析》（2024.8）</a></li>
</ul>
<li>[2024/10] <b><font color="red" style="background-color:yellow;" >NEW</font></b> <a href="https://arxiv.org/pdf/2403.18195">SCANet</a> is recognized as a <font color="red">Best Application Paper Finalist</font> at IROS 2024.
<li>[2024/09] Two papers get accepted to NeurIPS 2024</a>
<li>[2024/09] The world's first general navigation large model that unifies visual-language navigation, object navigation as well as demand-driven navigation into one single framework: <a href="https://sites.google.com/view/instructnav">InstructNav</a>
<li>[2024/09] Three papers get accepted to CoRL 2024: <a href="https://sites.google.com/view/instructnav">Generic Instruction Navigation</a>, <a href="https://sites.google.com/view/aic-mllm">Interactive Correction for Manipulation</a>, <a href="https://arxiv.org/pdf/2406.07549">Articulation-Aware VLM</a></li>
<li>[2024/09] One paper gets accepted to <a href="https://www.nature.com/articles/s42256-024-00879-7#:~:text=In%20this%20section,%20we%20introduce%20the%20results%20of%20our%20method">Nature Machine Intelligence</a></li>
<li>[2024/09] One paper gets accepted to RAL</li>
<li>[2024/08] Call for Papers: <a href="https://onlinelibrary.wiley.com/page/journal/15564967/homepage/call-for-papers/si-2024-000757">Special Issues on Embodied AI in Journal of Field Robotics</a></li>
<li>[2024/07] Two papers get accepted to ECCV 2024: <a href="https://jiyao06.github.io/Omni6DPose/">Omni6DPose</a>, <a href="https://arxiv.org/pdf/2407.15771v1">Grasping</a> </li>
<details><summary><b><font color="1367a7"> show more </font></b></summary>
<li>[2024/06] Three papers get accepted to IROS 2024:<a href="https://air-discover.github.io/PreAfford/">Pre-grasping</a>, <a href="https://arxiv.org/pdf/2403.11289">ManipVQA</a>, <a href="https://github.com/Yaser-wyx/SCANet">Lego Assembly</a> </li>
<li>[2024/06] CVPR 2024 Embodied AI Workshop <a href="https://prsorg.github.io">PRS Challenge: Human-centered In-building Embodied Delivery</a> </li>
<li>[2024/05] Two papers get accepted to RSS 2024 </li>
<li>[2024/04] Our RGB-based object grasping paper is accepted to RAL 2024 </li>
<li>[2024/02] Three papers get accepted to CVPR 2024 </li>
<li>[2024/01] Five papers get accepted to ICRA 2024 </li>
<li>[2024/01] I received the <a href="images/award/2023 MIR Oustanding Associate Editor Award-Hao Dong.pdf">MIR Outstanding Associate Editor Award</a> </li>
<li>[2024/01] Two papers get accepted to ICLR 2024:
<a href="https://helloqxwang.github.io/SparseDFF/">SparseDFF</a> and <a href="https://arxiv.org/abs/2305.03048">PerSAM</a>
</li>
<li>[2023/12] One paper gets accepted to PAMI and two papers for AAAI 2024
<a href="https://bi-dexhands.ai">Bi-DexHands</a>, <a href="https://arxiv.org/pdf/2305.16318.pdf">MUTR</a> and <a href="https://arxiv.org/pdf/2312.12340.pdf">FractureAssembly</a>
</li>
<li>[2023/09] Five NeurPS 2023 submissions are all accepted:
<a href="https://sites.google.com/view/demand-driven-navigation">Demand-driven Navigation</a>,
<a href="https://sites.google.com/view/genpose">GenPose</a>,
<a href="https://sites.google.com/view/graspgf">GraspGF</a>,
<a href="https://chengkaiacademycity.github.io/EnvAwareAfford/">EnvAwareAfford</a> and
<a href="https://tritiumr.github.io/Where2Explore/">Where2Explore</a></li>
<li>[2023/09] I will serve as an associate editor of ICRA </li>
<li>[2023/08] One paper gets accepted to SIGGRAPH Asia, and two papers for BMVC </li>
<li>[2023/07] Two papers get accepted to ICCV 2023:
<a href="https://hyperplane-lab.github.io/DeformableAffordance/">DefoAfford</a> and
<a href="https://crtie.github.io/SE-3-part-assembly/">3D Shape Assembly</a>
</li>
<li>[2023/06] I will serve as an AC of CVPR 2024 </li>
<li>[2023/06] I will serve as a SPC of AAAI 2024 </li>
<li>[2023/04] Our <a href="https://sites.google.com/view/sasavan/">visual-audio navigation</a> gets accepted to RAL</li>
<li>[2023/03] I will serve as an AC of NeurIPS 2023 </li>
<li>[2023/02] Three paper get accepted to CVPR 2023</li>
<!-- <li>[2023/02] Our <a href="http://www.tensorlayerx.com/index_en.html?chlang=&langid=2">TensorLayerX</a> won the OpenI Outstanding Open Source Project Award 2022</li> -->
<!-- <li>[2023/01] Three papers get accepted to ICRA, ICLR and AAAI respectively</li> -->
<!-- <li>[2022/12] We won the Dual Object Manipulation Track of MyoChallenge @ NeurIPS 2022</li> -->
<!-- <li>[2022/11] Our metasurface indoor robotic paradigm gets accepted to National Science Review</li> -->
<!-- <li>[2022/10] I will serve as a co-chair of Learning Robot Manipulation Forum @ PRCV 2022</li> -->
<!-- <li>[2022/09] Two papers get accepted to NeurIPS 2022</li> -->
<!-- <li>[2022/09] I will serve as an AC of CVPR 2023 </li> -->
<!-- <li>[2022/07] I will serve as a SPC of AAAI 2023 </li> -->
<!-- <li>[2022/07] Two papers get accepted to ECCV 2022 </li> -->
<!-- <li>[2022/07] I will serve as a co-chair for <a href="https://neurips-hill.github.io">Human in the Loop Learning (HiLL) Workshop</a> @ NeurIPS 2022 </li> -->
<!-- <li>[2022/06] I serve as an associate editor of Machine Intelligence Research </li> -->
<!-- <li>[2022/06] One paper gets accepted to IROS 2022 </li> -->
...
</details>
<!-- <li>[2022/05] Our open-source ML system book is released @ <a href="https://openmlsys.github.io">OpenMLsys</a> </li> -->
<!-- <li>[2022/05] I will serve as an organizer of <a href="http://saferl.online/2022">SafeRL Workshop</a> @ <a href="https://www.mfi2022.com">MFI</a> 2022 </li> -->
<!-- <li>[12/2021] 科技部重大项目牵头人 </li> -->
<!-- <li>[12/2020] Panel discussion at WAVE Summit</li> -->
<!-- <li>[11/2020] 我们的�ￄ1�71ￄ1�77�深度强化学习：基础、研究与应用 》中文书将在2021年夏天出版，敬请关注</li> -->
<!-- <li>[11/2020]「Talk」百庄1�71ￄ1�77 《开源开放平台建设�ￄ1�71ￄ1�77ￄ1�71ￄ1�77 -->
<!-- <li>[08/2020] We won the <a href="paper/2020power_gride_winner_diploma.jpg">CityLearn Challenge 2020</a>, reducing 13% cost of building energy</li> -->
<!-- <li>[08/2020] TensorLayer 3.0.0 will supports multiple backends, such as TensorFlow, MindSpore and more, supporting GPU and Huawei-Ascend. Stay tuned!</li> -->
<!-- <li>[07/2020] Our <a href="https://deepreinforcementlearningbook.org/index.html#mailing-list">DRL book</a> is published! </li> -->
<!-- <li>[07/2020]「Talk」中科院文献情报中心 《信息科学技术的弄1�71ￄ1�77源开放与知识传播〄1�71ￄ1�77 -->
<!-- <li>[06/2020]「Talk」人工智能大伄1�71ￄ1�77 - 弄1�71ￄ1�77发�ￄ1�71ￄ1�77�日 机器之心 WAIC《人工智能与弄1�71ￄ1�77源开放�ￄ1�71ￄ1�77ￄ1�71ￄ1�77 -->
<!-- <li>[06/2020]「Talk」Tsinghua University - From Deep Generation to Creation -->
<!-- <li>[08/2019] I graduated from Imperial and joined PKU. </li> -->
<!-- <li>[06/2019] Release <a href="https://github.com/tensorlayer/tensorlayer/tree/master/examples/reinforcement_learning">RL Model Zoo</a> for teaching and research. </li> -->
<!-- <li>[05/2019] Release <a href="https://github.com/tensorlayer/tensorlayer/releases/tag/2.0.0">TensorLayer 2.0</a> ! A BIG Updated!</li> -->
<!-- <li>[05/2019]「Talk」GAMES 2019, Introduction of Generative Adversarial Networks. </li> -->
<!-- <li>[04/2019]「Talk」Invited talk, <a href="https://mp.weixin.qq.com/s/gXzayHO3Wtz4OJ61saF90A">"Deep Learning & Data Efficiency"</a> by CFCS, Peking University. </li> -->
<!-- <li>[12/2018] TensorLayer will give a demo of "Learning to Dance via Machine Learning" at NeurIPS. Montréal, Dec 4 2018 <a href="https://NeurIPS.cc/Conferences/2018/Schedule?showEvent=12183">(click)</a> </li> -->
<!-- <li>[12/2018]「Talk」TensorLayer give a talk at <a href="https://devfest.gdg.london">Google Developer Groups (GDG) DevFest</a>. London, Dec 1 2018 </li> -->
<!-- <li>[03/2018] Teaching Assistant of "Advanced Machine Learning" @ Imperial College</li> -->
<!-- <li>[02/2018] I gave a talk at <a href="https://github.com/tensorlayer/tensorlayer-chinese/blob/master/docs/LPN_AI_symposium_handbook_poster.pdf">London PhD Network AI Symposium</a> with DeepMind, UCL, and Francis Crick Institute (<a href="https://github.com/tensorlayer/tensorlayer-chinese/blob/master/docs/TensorLayer_London_PhD_Network_20180212.pdf">slides</a>) </li> -->
<!-- <li>[01/2018] Published my 1st <a href="http://www.broadview.com.cn/book/5059">Chinese Deep Learning Book</a> </li> -->
<!-- <li>[12/2017] Interviewed by ClusterOne - “Humans of AI 1�71ￄ1�771ￄ1�71ￄ1�777 series : <a href="https://clusterone.com/blog/hao-dong">TensorLayer and the Chinese Deep Learning Community</a> </li> -->
<!-- <li>[10/2017] We won the <a href="paper/ACM MM Certification.pdf">Best Open Source Software Award</a> @ACM MM 2017 </a> </li> -->
<!-- <li>[07/2017] TensorLayer is accepted by ACM Multimedia'17. It has quickly gained over 2000+ stars on <a href="https://github.com/zsdonghao/tensorlayer">Github</a>! </li> -->
<!-- <li>[06/2017] New ICCV Paper : <a href="https://arxiv.org/abs/1707.06873">Semantic Image Synthesis via Adversarial Learning</a> </li> -->
<!-- <li>[05/2016] Deputy leader of the machine learning group in <a href="https://www.imperial.ac.uk/data-science">Data Science Institute</a> at Imperial College </li> -->
<!-- <li>[04/2016]「Talk」Invited talk, “Introduction of Artificial Neural Network 1�71ￄ1�771ￄ1�71ￄ1�777 at Imperial College </li> -->
<!-- <li>[09/2016] TensorLayer is released. It has quickly gained over 2000+ stars on <a href="https://github.com/zsdonghao/tensorlayer">Github</a>! </li> -->
</div>
<hr>
<!-- <ul>
<li>
<span style="font-weight:bold;">Open positions available (
<a href="recurit/phd.html">Ph.D</a>,
<a href="recurit/postdoc.html">Post Doc</a>,
<a href="recurit/engineer.html">Engineers</a>,
Interns ). Contact me for details.</span>
</li>
</ul> -->
<!-- <hr> -->
<!-- <div class='section_div'>
<h2>Postdocs and Students </h2>
<li>PhD: <a href="https://warshallrho.github.io">Ruihai Wu</a>, <a href="https://xxx.github.io">Mingdong Wu</a><br></li>
<li>Postdoc: <a href="https://xxx.github.io">Lin Dong</a><br></li>
</div>
<hr> -->
<div id="lab" class='section_div' id='ResearchGroup'>
<h2>PKU-Agibot Lab</h2>
<!-- We study how to improve the learning ability of artificial intelligence systems. -->
<!-- We are especially interested in <b>vision</b> and <b>robotics</b>, -->
<!-- recreating and interacting the world. -->
<!-- the current topic is generalisable and autonomous robot learning, with the goal to improve the reliability and functionality of AI systems. -->
<!-- the current topic is self-supervised and model-based robot learning, with the goal to improve the learning ability of artificial intelligence systems. -->
<!--include <b>3D vision</b>, <b>generative models</b> and <b>robotics</b>.-->
<!-- We have broader interests in medical data analysis and computer graphics. -->
<!-- <br><br> -->
<!-- We also enjoy developing and maintaining open source projects, e.g., <a href="https://github.com/tensorlayer">TensorLayer</a> and <a href="https://github.com/openmlsys">OpenMLsys</a>, -->
<!-- a deep learning and reinforcement learning library for scientists and engineers, which -->
<!-- and won the <a href="paper/ACM MM Certification.pdf">Best Open Source Software Award</a> at ACM Multimedia 2017. -->
<!-- We are now developing <b>new projects</b> for AI, please contact us for the detail. -->
<!-- <br><br> -->
<!-- Our lab, affiliated with the <a href="http://cfcs.pku.edu.cn">CFCS</a> and the <a -->
<!-- href="https://cs.pku.edu.cn/English/Home.htm">School of CS</a> at PKU, -->
Our lab welcomes research interns, masters, PhD candidates and postdocs. The current research interests include: </i> <br>
<!-- Our lab's name, 'Lab', reflects our commitment to exploring diverse and evolving frontiers in AI and robotics, allowing our research to adapt and grow as the field evolves. -->
<li>grasping and manipulation<br>
<li>task planning<br>
<li>navigation<br>
<li>safety and interpretability in robotics<br>
<!-- <br> -->
<!-- <br> -->
<!-- I also have the leading of the Embodied AI center at the Beijing Academy of Artificial Intelligence (<a href="https://baai.ac.cn/english.html">BAAI</a> 北京智源), where we are also actively seeking for research scientists, engineers, and interns. -->
<!-- Additionally, I am also honored to be a member of PengCheng Lab (<a href="https://pcl.ac.cn">PCL</a> 鹏城实验室), where I contribute to a variety of exciting open-source projects. -->
For more information, please contact Hao Dong at <i>hao.dong (a) pku.edu.cn</i>
<br>
<!-- <details><summary><b><font color="1367a7"> lab members</font></b></summary>
<table class='personnel'>
<tr>
<td rowspan="2" width=350px>
<b>PhD Students</b><br>
<a href="http://warshallrho.github.io/">Ruihai Wu</a> <font size="2" color='grey'> <I>2020</I></font> <br>
<a href="https://aaronanima.github.io/">Mingdong Wu </a> <font size="2" color='grey'> <I>2021</I></font> <br>
<a href="https://tianhaowuhz.github.io">Tianhao Wu</a> <font size="2" color='grey'> <I>2021</I></font> <br>
<a href="https://sxy7147.github.io">Yan Shen</a> <font size="2" color='grey'> <I>2022</I></font> <br>
<a href="https://whcpumpkin.github.io">Hongcheng Wang</a> <font size="2" color='grey'> <I>2022</I></font> <br>
<a href="https://jiyao06.github.io">Jiyao Zhang </a> <font size="2" color='grey'> <I>2023</I></font> <br>
<a href="https://clorislili.github.io/clorisLi">Xiaoqi Li </a> <font size="2" color='grey'> <I>2023</I></font> <br>
<a href="https://">Yang Tian </a> <font size="2" color='grey'> <I>2023</I></font> <br>
<a href="https://lyx0501.github.io">Yuxing Long </a> <font size="2" color='grey'> <I>2024</I></font> <br>
<a href="https://yuanfei-wang.github.io">Yuanfei Wang </a> <font size="2" color='grey'> <I>2024</I></font> <br>
</td>
<td width=320px>
<b>MSc Students</b><br>
<a href="https://">Yunchong Gan </a> <font size="2" color='grey'> <I>2021</I></font> <br>
<a href="https://">Taewhan Kim </a> <font size="2" color='grey'> <I>2022</I></font> <br>
<a href="https://">Zichen Zhang </a> <font size="2" color='grey'> <I>2023</I></font> <br>
<a href="https://">Fei Hu </a> <font size="2" color='grey'> <I>2023</I></font> <br>
<a href="https://">Hisham Barakat </a> <font size="2" color='grey'> <I>2023</I></font> <br>
<a href="https://">Yaroslav Ponomarenko </a> <font size="2" color='grey'> <I>2023</I></font> <br>
</td>
</tr>
</table> -->
<!-- <tr>
<td>
<b>Affiliates and Collaborators</b><br>
<a href="http://people.csail.mit.edu/jahanian/">Ali Jahanian</a>, <a href="https://people.eecs.berkeley.edu/~shelhamer/">Evan Shelhamer</a>,
<a href="https://www.alexandonian.com/">Alex Andonian</a>, Kexin Yi, <a href="https://people.csail.mit.edu/xavierpuig/">Xavier Puig</a>,
<a href="http://www.mit.edu/~lishuang/">Shuang Li</a>, <a href="https://people.csail.mit.edu/davidbau/home/">David Bau</a>,
<a href="https://ps.is.mpg.de/person/jwulff">Jonas Wulff</a>, <a href="http://people.csail.mit.edu/ganchuang/">Chuang Gan</a>,
<a href="http://www.sabrina-osmany.com/about">Sabrina Osmany</a>
</td>
<td>
<b>Former Members and Visitors</b><br>
<a href="http://kvfrans.com/">Kevin Frans</a> (UROP 2018-2020), <a href="https://yilundu.github.io/">Yilun Du</a> (UROP 2019), Zhongxia Yan (Rotation 2019)
</td>
</tr> -->
<!-- <table class='personnel'>
<td>
<b>Former Interns</b><br>
Guanqi Zhan <font size="2" color='grey'> <I>BS@PKU -> PhD@Oxford</I></font>
Mingxin Yu <font size="2" color='grey'> <I>BS@PKU -> PhD@MIT</I></font>
Junning Shao <font size="2" color='grey'> <I>BS@PKU -> PhD@THU</I></font>
Zihan Ding <font size="2" color='grey'> <I>MSc@Imperial -> PhD@Princeton</I></font> <br>
Jiahao Huang <font size="2" color='grey'> <I>BS@BIT -> PhD@Imperial</I></font>
Jialei Huang <font size="2" color='grey'> <I>BS@PKU -> PhD@THU</I></font>
Haoqi Yuan <font size="2" color='grey'> <I>BS@PKU -> PhD@PKU</I></font>
Andrew Zhao <font size="2" color='grey'> <I>BS@UBC -> PhD@THU</I></font> <br>
Yihao Zhao <font size="2" color='grey'> <I>BS@PKU -> PhD@PKU</I></font>
Bingchan Zhao <font size="2" color='grey'> <I>BS@PKU -> PhD@PKU</I></font>
Lan Lyu <font size="2" color='grey'> <I>BS@PKU -> MSc@CMU</I></font>
Minghang Zheng <font size="2" color='grey'> <I>BS@PKU -> PhD@PKU</I></font> <br>
Zizheng Guo <font size="2" color='grey'> <I>BS@PKU -> PhD@PKU</I></font>
Jie Ren <font size="2" color='grey'> <I>BS@XDU -> PhD@Edin.</I></font>
Yian Wang <font size="2" color='grey'> <I>BS@PKU -> PhD@UMass</I></font>
Kejian Shi <font size="2" color='grey'> <I>MSc@Imperial -> PhD@CUHK</I></font> <br>
Lin Dong <font size="2" color='grey'> <I>PostDoc@PKU -> Associate Prof in AI@CUPES</I></font>
<br> <font color="#ff0000">招收校内外实习生 (gap year, 研究生等)，对博后、RA和外地访问学生提供充足补贴</font>
</td>
</table> -->
<!-- </details> -->
</div>
<hr>
<!--
<div class='section_div'>
<h2>News</h2>
<p>▻ New blog post on our work on <a href="https://blog.openai.com/evolved-policy-gradients/">Evolved Policy Gradients</a>.<br>
▻ I am co-organizing a <a href="https://sites.google.com/view/cvpr2018tutorialongans/">tutorial on GANs at CVPR 2018</a>.</p>
<p>I recently co-organised the <a href="http://vui.eecs.berkeley.edu/">2nd Workshop on Visual Understanding for Interaction</a> at CVPR 2017. Talk slides coming soon!</p>
</div>
<hr>
-->
<div class='section_div'>
<h2>Services</h2>
<li> Area Chair: NeurIPS (2023, 2024), CVPR (2023, 2024) </li>
<li> Senior Program Committee: AAAI (2023, 2024) </li>
<li> Associate Editor: ICRA, Machine Intelligence Research </li>
<!-- <li class="service1">Open-Source Organisation: <a href="https://github.com/tensorlayer">TensorLayer</a> and <a href="https://github.com/openmlsys">OpenMLsys</a> communities</li> -->
<!-- <li class="service2">Journal Organisation
<ul>
<li> Associate Editor of Machine Intelligence Research
</ul>
</li> -->
<!-- <details><summary><b><font color="1367a7"> show more</font></b></summary> -->
<!-- <li> Conference & Workshop Organisation
<ul>
<li> Co-chair of Learning Robot Manipulation Forum @ PRCV 2022
<li> Co-chair of <a href="https://neurips-hill.github.io">Human in the Loop Learning (HiLL) Workshop</a> @ NeurIPS 2022
<li> Organiser of <a href="http://saferl.online/2022">International Workshop on Safe Reinforcement Learning Theory and its Applications</a> @ IEEE International Conference on Multisensor Fusion and Integration (MFI) 2022
<li> Co-chair of <a href="https://bda4s.github.io"> International Workshop on Big Data Analytics for Sustainability</a> @ IEEE International Conference Big Data 2022
<li> Technical Program Committee of <a href="http://www.ieee-cybermatics.org/2022/dependsys/index.html"> IEEE DependSys 2022</a>
</ul>
</li> -->
<!-- <li >Organizer of the 1st International Workshop on Safe Reinforcement Learning Theory and its Applications at IEEE International Conference on Multi-sensor Fusion and Integration (MFI) 2022</li> -->
<!-- <li>Co-chair of the 2nd International Workshop on Big Data Analytics for Sustainability at IEEE International Conference Big Data 2022</li> -->
<!-- <li> Peer-reviewed Journals and Conferences
<ul>
<li> Associate Editor, ICRA (24) </li>
<li> Area Chair, NeurIPS (23) </li>
<li> Area Chair, CVPR (23, 24) </li>
<li> Senior Program Committee, AAAI (23, 24) </li>
<li> Reviewer, ICLR (23) </li>
<li> Reviewer, NeurIPS Dataset and Benchmark (22) </li>
<li> Reviewer, NeurIPS (21,22) </li>
<li> Reviewer, CoRL (20,21,22) </li>
<li> Reviewer, IROS (20,21,22) </li>
<li> Reviewer, CVPR (21,22) </li>
<li> Program Committee, AAAI (22) </li>
<li> Reviewer, ICRA (22) </li>
<li> Reviewer, ICCV (21) </li>
<li> Reviewer, SIGGRAPH Asia (20) </li>
<li> Reviewer, MICCAI (20) </li>
<li> Reviewer, China CAD&CG (20) </li>
<li> Reviewer, EuroGRAPHICS (20) </li>
<li> Reviewer, PAMI (19) </li>
<li> Reviewer, SIGGRAPH (19) </li>
<li> Reviewer, TIP (18) </li>
<li> Reviewer, TKDE (18) </li>
<li> Reviewer, PLUS ONE (18) </li>
<li> Reviewer, Neurocomputing (17) </li>
</ul>
</li> -->
<!-- </ul> -->
<!-- </details> -->
<!-- <li>Program Commitee of IEEE CBMS</li> -->
<!-- <a class="btn btn_one" onclick="servicesShow()">[ <span> <b>show more</b></span> ]</a> -->
</div>
<hr>
<div class='section_div'>
<h2>Courses</h2>
<li><a href="courses/index_foundamentals_of_AI.html">Foundamentals of AI</a> (Spring Term 2023 - )<br>
<li><a href="courses/index_introduction_to_computing_A.html">Introduction to Computing (A)</a> (Fall Term 2022 - )<br></li>
</li>
<details><summary><b><font color="1367a7"> previous courses</font></b></summary>
<li><a href="https://deep-generative-models.github.io">Deep Generative Models</a> (Spring Term 2020 - 2022)<br>
<li><a href="courses/index_introduction_to_computing_B.html">Introduction to Computing (B)</a> (Fall Term 2020 - 2021)<br></li>
<li><a href="http://elective.pku.edu.cn/elective2008/edu/pku/stu/elective/controller/courseDetail/getCourseDetail.do?kclx=BK&course_seq_no=BZ1920104833460_15539">Study and Practice on Topics of Frontier Computing (I)</a> (Autumn Term 2019)<br></li>
<li><a href="courses/deep-learning/2019_introduction_deep_learning.html">Introduction to Deep Learning (Turing Class)</a> (Summer Term 2019)<br></li>
</details>
</div>
<hr>
<!-- <div class='section_div'>
<h2>Team</h2>
<li><a href="https://warshallrho.github.io">Ruihai Wu</a> Ph.D. 2020~Now<br></li>
<li><a href="https://github.com/zjduan">Zhijian Duan</a> Ph.D. 2020~Now<br></li>
</div>
<hr> -->
<!-- <div class='section_div'>
<h2>Team</h2>
<a href="https://warshallrho.github.io">Ruihai Wu</a> (Ph.D 2019)<br>
<a href="https://warshallrho.github.io">Jiabin Liu</a> (Post Doc 2019)<br>
</div>
<hr> -->
<div class='section_div'>
<!--
<h2>Publications</h2>
For all publications please check my <a href="https://scholar.google.co.uk/citations?hl=en&user=xLFL4sMAAAAJ">Google Scholar</a> and
<a href="https://www.researchgate.net/profile/Hao_Dong35">Research Gate</a> </a>.
<br><br> -->
<table class="pub_table">
<!--
<tr><td class="sub_heading">Selected Papers<hr></td></tr>
<tr>
<td class="pub_td1"><div class="teaser_img_div"><a href="https://arxiv.org/abs/1707.06873"><img class="teaser_img" src='images/paper/2017iccv_sisgan.png'/></a></div></td>
<td class="pub_td2"><b>SisGAN: Semantic Image Synthesis via Adversarial Learning</b> <br> <i> ---Image Manipulation with Natural Language</i> <br>Hao Dong, Simiao Yu, Chao Wu, Yike Guo<br><i>International Conference on Computer Vision (ICCV) 2017</i><br>[<a href="https://arxiv.org/abs/1707.06873">Paper</a>]
</td></tr>
<tr>
<td class="pub_td1"><div class="teaser_img_div"><a href="http://github.com/tensorlayer/tensorlayer/"><img class="teaser_img" src='images/paper/2017acmmm_tensorlayer.png'/></a></div></td>
<td class="pub_td2"><b>TensorLayer: A Versatile Library for Efficient Deep Learning Development</b><br>Hao Dong, Akara Supratak, Luo Mai, Fangde Liu, Axel Oehmichen, Simiao Yu, Yike Guo<br><i>ACM Multimedia (MM) 2017 (Winner of the Best Open Source Software Award)</i><br>[<a href="https://arxiv.org/abs/1707.08551">Paper</a>] [<a href="http://github.com/tensorlayer/tensorlayer/">Code</a>] [<a href="http://github.com/tensorlayer">Organisation</a>] [<a href="http://tensorlayer.readthedocs.io">Documentation</a>]
</td></tr>
<tr>
<td class="pub_td1"><div class="teaser_img_div"><a href="https://arxiv.org/abs/1610.06421"><img class="teaser_img" src='images/paper/2017tnsre_mnn.png'/></a></div></td>
<td class="pub_td2"><b>Mixed Neural Network Approach for Temporal Sleep Stage Classification</b><br>Hao Dong, Akara Supratak, Wei Pan, Chao Wu, Paul M Matthews, Yike Guo<br><i>IEEE Trans. on Neural Systems and Rehabilitation Eng. (TNSRE) 2017</i><br>[<a href="https://arxiv.org/abs/1610.06421">Paper</a>]
</td></tr>
<tr>
<td class="pub_td1"><div class="teaser_img_div"><a href="https://arxiv.org/abs/1711.07520"><img class="teaser_img" src='images/paper/2017tifs_drop.png'/></a></div></td>
<td class="pub_td2"><b>Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security</b><br>Hao Dong, Chao Wu, Wei Zhen, Yike Guo<br><i>IEEE Trans. on Inform. Forensics and Security (TIFS) 2018</i><br>[<a href="https://arxiv.org/abs/1711.07520">Paper</a>]
</td></tr> -->
<tr>
<td class="sub_heading">Books
<hr>
</td>
</tr>
<tr>
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://deepreinforcementlearningbook.org"><img class="teaser_img"
src='images/paper/2020drl_book_cover_v3-min.png' /></a></div>
</td>
<td class="pub_td2"><b>Deep Reinforcement Learning: Fundamentals, Research and Applications</b>
<br>Hao Dong, Zihan Ding, Shanghang Zhang <i>Eds.</i> <br><i>Springer Nature 2020 ISBN 978-981-15-4094-3</i>
<!--, 1st ed.</i>-->
<br><i><font color="#1367a7">--- A Selection of the High-impact Publications in CS by Chinese Researchers from Springer Nature</font></i>
<details><summary><b><font color="1367a7">Chinese version</font></b></summary>
<!-- <p> - 测试 测试测试</p>
<pre><code> title，value，callBack可以缺省 </code> </pre> -->
<b>深度强化学习：基础、研究与应用</b> 董豪、丁子涵、仉尚航 等著（简体中文译本 Simplified Chinese）<br> <i>电子工业出版社 2021 ISBN
978-7-121-41188-5</i>
<br><b>新一代AI霸主 - 深度強化學習</b> 董豪、丁子涵、仉尚航 等著（繁體中文譯本 Traditional Chinese）<br> <i>深智數位 2022 ISBN
978-986-0776-82-9</i>
</details>
[<a href="https://deepreinforcementlearningbook.org">Free Open Source Book</a>] [<a
href="https://link.springer.com/book/10.1007%2F978-981-15-4095-0#editorsandaffiliations">Springer <button type="xx">250k Downloads</button></a>]
[<a href="http://www.broadview.com.cn/book/6544">Broadview</a>] [<a
href="https://deepmind.com.tw">繁体版本</a>] [<a
href="https://search.jd.com/Search?keyword=深度强化学习%20董豪&enc=utf-8&suggest=1.def.0.base&wq=深度强化学习：基&pvid=3481b24e95ae4b86ba80128820fd563c">京东</a>]
</td>
</tr>
<tr>
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://openmlsys.github.io"><img class="teaser_img"
src='images/paper/2023openmlsys.png' /></a></div>
</td>
<td class="pub_td2"><b>Machine Learning System: Design and Implementation</b><br>Luo Mai, Hao
Dong <i>Eds.</i> <i>Springer Nature 2024 coming soon</i> <br>
<details><summary><b><font color="1367a7">Chinese version</font></b></summary>
<b>机器学习系统：设计与实现 </b> 麦络、董豪 <i>等著</i> <br>
<i>清华大学出版社 Tsinghua University Press 2023 ISBN 978-7-302-63007-4</i>
</details>
<!-- <br> -->
[<a href="https://github.com/openmlsys">OpenMLsys Github</a><a href="https://github.com/openmlsys"><img alt="GitHub Stars" style="vertical-align:middle" src="https://img.shields.io/github/stars/openmlsys?style=social"/></a>]
[<a href="https://openmlsys.github.io/html-en/">English Open Source Book (coming soon)</a>]
[<a href="https://openmlsys.github.io">Chinese Open Source Book</a>]
[<a href="https://search.jd.com/Search?keyword=机器学习系统：设计与实现&enc=utf-8&wq=机器学习系统：设计与实现&pvid=526e181cdf58456d842f3580fff9f1d5">京东</a>]
</td>
</tr>
<!-- <div id="MoreBook"> -->
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<td class="pub_td1">
<div class="teaser_img_div"><a href="http://www.broadview.com.cn/book/5059"><img class="teaser_img"
src='images/paper/2018phei_tensorlayer_book3-min.png' /></a></div>
</td>
<td class="pub_td2"><b> 深度学习：一起玩转TensorLayer（Deep Learning using TensorLayer）</b><br>Hao Dong, Yike Guo,
Guang Yang et al<br><i>电子工业出版社 Publishing House of Electronics Industry 2018 ISBN:
9787121326226</i><br>[<a
href="https://www.amazon.com/深度学习-丄1�71ￄ1�771ￄ1�71ￄ1�777起玩转TensorLayer-董豪-筄1�71ￄ1�771ￄ1�71ￄ1�777/dp/B078YDZTCY/ref=sr_1_2?keywords=tensorlayer&qid=1570048255&s=gateway&sr=8-2">Amazon</a>]
[<a
href="https://search.jd.com/Search?keyword=tensorlayer&enc=utf-8&wq=tensorl&pvid=555e73b10c134c339afddc63c7ecdd8a">京东</a>]
[<a href="http://www.broadview.com.cn/book/5059">Broadview</a>] [<a
href="https://github.com/tensorlayer/chinese-book">Code</a>]
[<a href="http://github.com/tensorlayer">Organisation</a>] [<a
href="http://tensorlayer.readthedocs.io">Documentation</a>]
</td>
</tr> -->
<!-- <tr class="level_1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://link.springer.com/chapter/10.1007/978-3-319-50478-0_8"><img
class="teaser_img" src='images/paper/2016springer_survey_v2-min.png' /></a></div>
</td>
<td class="pub_td2"><b>Chapter: Survey on Feature Extraction and Applications of Biosignals</b><br>Akara
Supratak, Chao Wu, Hao Dong, Kai Sun, Yike Guo<br><i>Machine Learning for Health Informatics, Springer,
Page 161-182 2016</i><br>[<a
href="https://link.springer.com/chapter/10.1007/978-3-319-50478-0_8">Springer</a>]
</td>
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<!-- Recent Papers -->
<tr>
<td class="sub_heading">Papers
<hr>
</td>
<td>
(
<a class="all_Btn" onclick="showInfo(1)"> <span><b>show recent selected</b></span> </a> /
<!-- <a class="all_Btn" onclick="showInfo(2)"> <span>Before 2020</span> </a> / -->
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</td>
<!-- <tr>
<td class="pub_td1"><div class="teaser_img_div"><a href="https://arxiv.org/pdf/20xx.xxx.pdf"><img class="teaser_img" src='images/paper/2021pmoe-min.png'/></a></div></td>
<td class="pub_td2"><b>Probabilistic Mixture-of-Experts for Efficient Deep Reinforcement Learning</b><br>Jie Ren*, Yewen Li*, Zihan Ding, Wei Pan, Hao Dong<br><i>arXiv 20xx.xxx</i><br>[<a href="https://arxiv.org/pdf/20xxxx.pdf">Paper</a>]
</td></tr> -->
<tr class="paper1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2409.17549"><img class="teaser_img"
src='images/paper/2024-3DTacDex-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>Canonical Representation and Force-Based Pretraining of 3D Tactile for Dexterous Visuo-Tactile Policy Learning</b>
<br>Tianhao Wu, Jinzhou Li, Jiyao Zhang, Mingdong Wu, Hao Dong<br>
<i>arXiv 2024</i><br>
[<a href="https://arxiv.org/pdf/2409.17549">Paper</a>]
[<a href="https://3dtacdex.github.io">Webpage</a>]
</td>
</tr>
<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2406.13642"><img class="teaser_img"
src='images/paper/2024SpatialBot-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>SpatialBot: Precise Spatial Understanding with Vision Language Models</b>
<br>Wenxiao Cai, Yaroslav Ponomarenko, Jianhao Yuan, Xiaoqi Li, Wankou Yang, Hao Dong, Bo Zhao<br>
<i>arXiv 2024</i><br>
[<a href="https://arxiv.org/pdf/2406.13642">Paper</a>]
[<a href="https://github.com/BAAI-DCAI/SpatialBot">Code</a>]
[<a href="https://mp.weixin.qq.com/s/X1iqkkEMsop9DGCY08AfCw">机器之心</a>]
</td>
</tr>
<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://www.nature.com/articles/s42256-024-00879-7#:~:text=In%20this%20section,%20we%20introduce%20the%20results%20of%20our%20method"><img class="teaser_img"
src='images/paper/2024NMI-RL.jpg' /></a></div>
</td>
<td class="pub_td2"><b>Efficient and Scalable Reinforcement Learning for Large-scale Network Control</b>
<br>Chengdong Ma, Aming Li, Yali Du, Hao Dong, Yaodong Yang<br>
<i>Nature Machine Intelligence (NMI) 2024</i><br>
[<a href="https://www.nature.com/articles/s42256-024-00879-7#:~:text=In%20this%20section,%20we%20introduce%20the%20results%20of%20our%20method">Paper</a>]
[<a href="https://app.xinhuanet.com/news/article.html?articleId=b0c7469d95e5d02dd0c99aad3aa57f95×tamp=21907">新华网</a>]
[<a href="https://www.stdaily.com/web/gdxw/2024-09/03/content_223871.html">科技日报</a>]
</td>
</tr>
<tr class="paper1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://garmentlab.github.io"><img class="teaser_img"
src='images/paper/2024NeurIPS-GarmentLab-min.png' /></a></div>
</td>
<td class="pub_td2"><b>GarmentLab: A Unified Simulation and Benchmark for Garment Manipulation</b>
<br>Haoran Lu, Yitong Li, Ruihai Wu, Sijie Li, Ziyu Zhu, Chuanruo Ning, Yan Shen, Longzan Luo, Yuanpei Chen, Hao Dong<br>
<i>Neural Information Processing System (NeurIPS) 2024</i><br>
[Paper]
[<a href="https://garmentlab.github.io">Webpage</a>]
[<a href="https://github.com/GarmentLab">Code</a>]
[<a href="https://garmentlab.readthedocs.io/en/latest/">Docs</a>]
</td>
</tr>
<tr class="paper1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://XXXX"><img class="teaser_img"
src='images/paper/2024NeurIPS-MO-DDN-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>MO-DDN: A Coarse-to-Fine Attribute-based Exploration Agent for Multi-Object Demand-driven Navigation</b>
<br>Hongcheng Wang, Peiqi Liu, Wenzhe Cai, Mingdong Wu, Zhengyu Qian, Hao Dong<br>
<i>Neural Information Processing System (NeurIPS) 2024</i><br>
[<a href="https://arxiv.org/pdf/2410.03488v1">Paper</a>]
[<a href="https://sites.google.com/view/moddn">Webpage</a>]
[<a href="https://github.com/whcpumpkin/MO-DDN">Code</a>]
</td>
</tr>
<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2406.17898"><img class="teaser_img"
src='images/paper/2024PRSChallenge-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>Human-centered In-building Embodied Delivery Benchmark</b>
<br>Zhuoquan Xu, Yang Liu, Xiaoqi Li, Jiyao Zhang, Hao Dong<br>
<i>arXiv 2024</i><br>
[<a href="https://arxiv.org/pdf/2406.17898">Paper</a>]
[<a href="https://prsorg.github.io/#introduction">Webpage</a>]
</td>
</tr>
<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://unidexfpm.github.io/unidexfpm.pdf"><img class="teaser_img"
src='images/paper/2024UniDexFPM-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>UniDexFPM: Universal Dexterous Functional Pre-grasp Manipulation via Diffusion Policy</b>
<br>Tianhao Wu, YunChong Gan, Mingdong Wu, Jingbo Cheng, Yaodong Yang, Yixin Zhu, Hao Dong<br>
<i>arXiv 2024</i><br>
[<a href="https://unidexfpm.github.io/unidexfpm.pdf">Paper</a>]
[<a href="https://unidexfpm.github.io">Webpage</a>]
</td>
</tr>
<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2406.07579"><img class="teaser_img"
src='images/paper/2024GFPack++-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>GFPack++: Improving 2D Irregular Packing by Learning Gradient Field with Attention</b>
<br>Tianyang Xue, Lin Lu, Yang Liu, Mingdong Wu, Hao Dong, Yanbin Zhang, Renmin Han, Baoquan Chen<br>
<i>arXiv 2024</i><br>
[<a href="https://arxiv.org/pdf/2406.07579">Paper</a>]
</td>
</tr>
<tr class="paper1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2406.04882"><img class="teaser_img"
src='images/paper/2024InstructNav-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment</b>
<br><i><font color="#1367a7">--- The world's first general navigation large model that unifies visual-language navigation, object navigation as well as demand-driven navigation into one single framework.</font></i>
<br>Yuxing Long, Wenzhe Cai, Hongcheng Wang, Guanqi Zhan, Hao Dong<br>
<i>Conference on Robot Learning (CoRL) 2024</i><br>
[<a href="https://arxiv.org/pdf/2406.04882">Paper</a>]
[<a href="https://sites.google.com/view/instructnav">Webpage</a>]
[<a href="https://github.com/LYX0501/InstructNav">Code</a>]
[<a href="https://mp.weixin.qq.com/s/T145ZQlDBTWyX621mNVYGQ">量子位</a>]
</td>
</tr>
<tr class="paper1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2406.11548"><img class="teaser_img"
src='images/paper/2024AIC-MLLM-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>AIC-MLLM: Autonomous Interactive Correction MLLM for Robust Robotic Manipulation</b>
<br><i><font color="#1367a7">--- The first automatic system for low-level end-effector action correction in manipulation tasks.</font></i>
<br>Chuyan Xiong, Chengyu Shen, Xiaoqi Li, Kaichen Zhou, Jiaming Liu, Ruiping Wang, Hao Dong<br>
<i>Conference on Robot Learning (CoRL) 2024</i><br>
[<a href="https://arxiv.org/pdf/2406.11548">Paper</a>]
[<a href="https://sites.google.com/view/aic-mllm">Webpage</a>]
</td>
</tr>
<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2406.07549"><img class="teaser_img"
src='images/paper/2024A3VLM-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>A3VLM: Actionable Articulation-Aware Vision Language Model</b>
<br>Siyuan Huang, Haonan Chang, Yuhan Liu, Yimeng Zhu, Hao Dong, Peng Gao, Abdeslam Boularias, Hongsheng Li<br>
<i>Conference on Robot Learning (CoRL) 2024</i><br>
[<a href="https://arxiv.org/pdf/2406.07549">Paper</a>]
[<a href="https://github.com/changhaonan/A3VLM">Code</a>]
[<a href="https://mp.weixin.qq.com/s/1pRcbz1rqQjq2GWqyUqg6Q">OpenGVLab摘要</a>]
</td>
</tr>
<tr class="paper1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2403.08355"><img class="teaser_img"
src='images/paper/2024RAL-NaturalVLM-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>NaturalVLM: Leveraging Fine-grained Natural Language for Affordance-Guided Visual Manipulation</b>
<br>Ran Xu, Yan Shen, Xiaoqi Li, Ruihai Wu, Hao Dong<br>
<i>IEEE Robotics and Automation Letters (RAL) 2024</i><br>
[<a href="https://arxiv.org/pdf/2403.08355">Paper</a>]
[<a href="https://sites.google.com/view/naturalvlm">Webpage</a>]
</td>
</tr>
<tr class="paper2">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://arxiv.org/pdf/2403.02604.pdf"><img class="teaser_img"
src='images/paper/2024UniDoorManip-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>UniDoorManip: Learning Universal Door Manipulation Policy over Large-scale and Diverse Door Manipulation Environments</b>
<br>Yu Li*, Xiaojie Zhang*, Ruihai Wu*, Zilong Zhang, Yiran Geng, Hao Dong, Zhaofeng He<br>
<i>arXiv 2024</i><br>
[<a href="https://arxiv.org/pdf/2403.02604.pdf">Paper</a>]
[<a href="https://unidoormanip.github.io">Webpage</a>]
[<a href="https://mp.weixin.qq.com/s/MTyLXXAx6vv_dS8wUZfMVw">量子位</a>]
</td>
</tr>
<tr class="paper1">
<td class="pub_td1">
<div class="teaser_img_div"><a href="https://jiyao06.github.io/Omni6DPose/"><img class="teaser_img"
src='images/paper/2024ECCV-Omni6DPose-min.jpg' /></a></div>
</td>
<td class="pub_td2"><b>Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking</b>
<br><i><font color="#1367a7">--- The largest-scale benchmark for universal 6D object pose estimation.</font></i>
<br>Jiyao Zhang, Weiyao Huang, Bo Peng, Mingdong Wu, Fei Hu, Zijian Chen, Bo Zhao, Hao Dong<br>
<i>European Conference on Computer Vision (ECCV) 2024</i><br>
[<a href="https://arxiv.org/abs/2406.04316">Paper</a>]
[<a href="https://jiyao06.github.io/Omni6DPose/">Webpage</a>]
[<a href="https://github.com/Omni6DPose">Code</a>]
[<a href="https://mp.weixin.qq.com/s/wasOMlVaSNgMWO-g1I2-Dg">计算机视觉工坊</a>]