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<h1 align="center">具身智能入门指南</h1>
<h1 align="center">具身智能入门指南 Embodied-AI-Guide</h1>
<p align="center"> </p>
> Embodied AI具身智能入门的路径以及高质量信息的总结期望是按照路线走完后新手可以快速建立关于这个领域的认知希望能帮助到各位入门具身智能的朋友欢迎点Star、分享与提PR🌟~<br><a href="https://github.com/tianxingchen/Embodied-AI-Guide">Github Repo</a>, Latest Update: Dec 17, 2024 】<img src="https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Ftianxingchen%2FEmbodied-AI-Guide&count_bg=%232B8DD9&title_bg=%237834C6&icon=github.svg&icon_color=%23E7E7E7&title=Page+Viewers&edge_flat=false"/>
<p align="center"><a href="https://github.com/tianxingchen/Embodied-AI-Guide">Github Repo</a>, Latest Update: Dec 17, 2024 】 <img src="https://hits.seeyoufarm.com/api/count/incr/badge.svg?url=https%3A%2F%2Fgithub.com%2Ftianxingchen%2FEmbodied-AI-Guide&count_bg=%232B8DD9&title_bg=%237834C6&icon=github.svg&icon_color=%23E7E7E7&title=Page+Viewers&edge_flat=false"/></a></p>
<p><b>🦉Contributors</b>: <a href="https://tianxingchen.github.io">陈天行 (25' 港大PhD)</a>, <a href="https://yudezou.github.io/">邹誉德 (25' 上交-浦江实验室联培PhD)</a>, <a href="">陈思翔 (25' 北大PhD)</a>, <a href="https://github.com/27yw">叶雯 (25' 中科院自所PhD)</a>, <a href="https://github.com/zanxinchen">陈攒鑫 (深大本科生)</a>, <a href="https://github.com/ShijiaPeng03">彭时佳 (深大本科生)</a>, <a href="https://gkw0010.github.io/">王冠锟 (港中文-华为联培PhD)</a>, <a href="https://ngchikit.github.io">吴志杰 (港中文PhD)</a>.</p>
> Embodied AI (具身智能)入门的路径以及useful信息的总结期望是按照路线走完后新手可以快速建立关于这个领域的认知希望能帮助到各位入门具身智能的朋友欢迎点Star、分享与提PR🌟~<br><a href="https://hits.seeyoufarm.com">
## Contents - 目录
<nav>
@ -19,6 +22,11 @@
<li><a href="#3dv">3D Vision - 三维视觉</a></li>
<li><a href="#control">Control - 控制学</a></li>
<li><a href="#benchmarks">Benchmarks & Simulators - 基准 & 仿真器</a></li>
<li><a href="#embodied-ai-4-x">Embodied AI for X - 具身智能+X</a>
<ul>
<li>Embodied AI for Healthcare - 具身智能+医疗</li>
</ul>
</li>
<li><a href="#communities">Communities - 社区</a></li>
<li><a href="#companies">Companies - 公司</a></li>
<li><a href="#acknowledgement">🙏 Acknowledgement - 致谢</a></li>
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## Start Up - 从这里开始
**什么是具身智能?**<br>
具身智能是指一种基于物理身体进行感知和行动的智能系统,其通过智能体与环境的交互获取信息、理解问题、做出决策并实现行动,从而产生智能行为和适应性。
我们是一个由具身初学者组成的团队,希望能够通过我们自己的学习经验,为后来者提供一些帮助,加快具身智能的普及。欢迎更多朋友加入我们的项目,也很欢迎交友、学术合作,有任何问题,可以联系邮箱`chentianxing2002@gmail.com`。
<p><b>🦉Contributors</b>: <a href="https://tianxingchen.github.io">陈天行 (25' 港大PhD)</a>, <a href="https://yudezou.github.io/">邹誉德 (25' 上交-浦江实验室联培PhD)</a>, <a href="">陈思翔 (25' 北大PhD)</a>, <a href="https://github.com/27yw">叶雯 (25' 中科院自所PhD)</a>, <a href="https://github.com/zanxinchen">陈攒鑫 (深大本科生)</a>, <a href="https://github.com/ShijiaPeng03">彭时佳 (深大本科生)</a>, <a href="https://gkw0010.github.io/">王冠锟 (港中文-华为联培PhD)</a>, <a href="https://ngchikit.github.io">吴志杰 (港中文PhD)</a>.</p>
<a href="https://github.com/TianxingChen/Embodied-AI-Guide/graphs/contributors">
<img src="https://contrib.rocks/image?repo=TianxingChen/Embodied-AI-Guide" />
</a>
<section id="info"></section>
## Useful Info - 有利于搭建认知的资料
> 具身智能是指一种基于物理身体进行感知和行动的智能系统,其通过智能体与环境的交互获取信息、理解问题、做出决策并实现行动,从而产生智能行为和适应性。
* 具身智能基础技术路线-YunlongDong [2]: [PDF](./files/具身智能基础技术路线-YunlongDong.pdf), [bilibili](https://www.bilibili.com/video/BV1d5ukedEsi/?buvid=XXCD799C01878A6CFDECF3FB4427E2F070877&from_spmid=default-value&is_story_h5=false&mid=iWFclAyh36UYMh2G6ZcsDw%3D%3D&p=1&plat_id=114&share_from=ugc&share_medium=android&share_plat=android&share_session_id=9c0dccf5-ec0b-4369-8b89-ff1d848467ee&share_source=WEIXIN&share_tag=s_i&spmid=united.player-video-detail.0.0&timestamp=1716466406&unique_k=Q0CaIUj&up_id=249218043)
* AI领域值得关注的博主列表 [3]: [zhihu](https://zhuanlan.zhihu.com/p/682110383)
@ -128,6 +142,14 @@ Advances in 3D pre-training and downstream tasks: a survey. [PDF](https://link.s
| [PyBullet](https://pybullet.org/wordpress/) | [Calvin](https://github.com/mees/calvin?tab=readme-ov-file)<br>[Ravens](https://github.com/google-research/ravens)<br>[VimaBench](https://github.com/vimalabs/VimaBench) |
<section id="embodied-ai-4-x"></section>
## Embodied AI for X - 具身智能+X
### Embodied AI for Healthcare - 具身智能+医疗
Coming Soon...
<section id="communities"></section>
## Communities - 社区
@ -174,3 +196,4 @@ Advances in 3D pre-training and downstream tasks: a survey. [PDF](https://link.s
## 🏷️ License - 许可证
This repository is released under the MIT license. See LICENSE for additional details.

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