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<h1 align="center">具身智能入门指南</h1>
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<h1 align="center">具身智能入门指南 Embodied-AI-Guide</h1>
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<p align="center"> </p>
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> 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"/>
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<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>
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<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>
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> 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">
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## Contents - 目录
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<nav>
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<li><a href="#3dv">3D Vision - 三维视觉</a></li>
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<li><a href="#control">Control - 控制学</a></li>
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<li><a href="#benchmarks">Benchmarks & Simulators - 基准 & 仿真器</a></li>
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<li><a href="#embodied-ai-4-x">Embodied AI for X - 具身智能+X</a>
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<ul>
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<li>Embodied AI for Healthcare - 具身智能+医疗</li>
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</ul>
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</li>
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<li><a href="#communities">Communities - 社区</a></li>
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<li><a href="#companies">Companies - 公司</a></li>
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<li><a href="#acknowledgement">🙏 Acknowledgement - 致谢</a></li>
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## Start Up - 从这里开始
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**什么是具身智能?**<br>
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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。
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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`。
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<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>
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<a href="https://github.com/TianxingChen/Embodied-AI-Guide/graphs/contributors">
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<img src="https://contrib.rocks/image?repo=TianxingChen/Embodied-AI-Guide" />
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</a>
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<section id="info"></section>
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## Useful Info - 有利于搭建认知的资料
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> 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。
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* 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×tamp=1716466406&unique_k=Q0CaIUj&up_id=249218043)
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* AI领域值得关注的博主列表 [3]: [zhihu](https://zhuanlan.zhihu.com/p/682110383)
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| [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) |
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<section id="embodied-ai-4-x"></section>
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## Embodied AI for X - 具身智能+X
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### Embodied AI for Healthcare - 具身智能+医疗
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Coming Soon...
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<section id="communities"></section>
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## Communities - 社区
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## 🏷️ License - 许可证
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This repository is released under the MIT license. See LICENSE for additional details.
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