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<h1 align="center">具身智能中文指南</h1> <h1 align="center">具身智能中文指南</h1>
<p align="center">【 <a href="https: //github.com/tianxingchen/Embodied-AI-Guide">Github Repo</a>, Latest Update: Sep 1, 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 align="center">【 <a href="https://github.com/tianxingchen/Embodied-AI-Guide">Github Repo</a>, Latest Update: Sep 1, 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 (深大本科生)</a>, <a href="https: //github.com/yudezou">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' 中科院自动化所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></p> <p><b>🦉Contributors</b>: <a href="https://tianxingchen.github.io">陈天行 (深大本科生)</a>, <a href="https://github.com/yudezou">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' 中科院自动化所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></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star与PR🌟~<br>文章中引用文章的原作者，我们在[🙏 Acknowledgement - 致谢](#acknowledgement)部分进行了致谢，感谢他们的分享🌹<br><a href="https: //hits.seeyoufarm.com"> > 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star与PR🌟~<br>文章中引用文章的原作者，我们在[🙏 Acknowledgement - 致谢](#acknowledgement)部分进行了致谢，感谢他们的分享🌹<br><a href="https://hits.seeyoufarm.com">
# Contents - 目录 # Contents - 目录
<nav> <nav>
@ -42,7 +42,7 @@ EasyRL - 蘑菇书: [website](https://datawhalechina.github.io/easy-rl/#/)<br>
# Imitation Learning - 模仿学习 # Imitation Learning - 模仿学习
模仿学习简洁教程 - 南京大学LAMDA: [PDF](https://www.lamda.nju.edu.cn/xut/Imitation_Learning.pdf)<br> 模仿学习简洁教程 - 南京大学LAMDA: [PDF](https://www.lamda.nju.edu.cn/xut/Imitation_Learning.pdf)<br>
Supervised Policy Learning for Real Robots, RSS 2024 Workshop 教程: 真实机器人的监督策略学习, [bilibili](https://www.bilibili.com/video/BV1Fx4y1s7if/?buvid=XY415384A771A6C681C9BEB3817566ED57724&is_story_h5=false&mid=ORgXkVzTHaOKTsml0RX5Gw%3D%3D&plat_id=240&share_from=ugc&share_medium=android&share_plat=android&share_source=WEIXIN&share_tag=s_i&spmid=dt.space-dt.0.0&timestamp=1721464513&unique_k=Cqj5d9J&up_id=2185804&vd_source=ab9cf5374617c2867aaea34af29b53c9) Supervised Policy Learning for Real Robots, RSS 2024 Workshop 教程：真实机器人的监督策略学习, [bilibili](https://www.bilibili.com/video/BV1Fx4y1s7if/?buvid=XY415384A771A6C681C9BEB3817566ED57724&is_story_h5=false&mid=ORgXkVzTHaOKTsml0RX5Gw%3D%3D&plat_id=240&share_from=ugc&share_medium=android&share_plat=android&share_source=WEIXIN&share_tag=s_i&spmid=dt.space-dt.0.0&timestamp=1721464513&unique_k=Cqj5d9J&up_id=2185804&vd_source=ab9cf5374617c2867aaea34af29b53c9)
<section id="llm_robot"></section> <section id="llm_robot"></section>
@ -76,9 +76,9 @@ Lilian Weng 个人博客 - AI Agent 系统综述 [5]: 中文: [website](https:
<section id="benchmarks"></section> <section id="benchmarks"></section>
# Benchmarks & Simulators - 基准 & 仿真器 # Benchmarks & Simulators - 基准 & 仿真器
具身智能常用benchmark总结 [1]: [zhihu](https: //zhuanlan.zhihu.com/p/695342864) 具身智能常用benchmark总结 [1]: [zhihu](https://zhuanlan.zhihu.com/p/695342864)
常见仿真器wiki: [wiki](https: //simulately.wiki/) 常见仿真器wiki: [wiki](https://simulately.wiki/)
<section id="info"></section> <section id="info"></section>
@ -107,10 +107,10 @@ DeepTimber Robotics Innovations Community, 深木科研交流社区: [website](
宇树Unitree: [website](https://www.unitree.com/cn)<br> 宇树Unitree: [website](https://www.unitree.com/cn)<br>
# 🙏 Acknowledgement - 致谢 # 🙏 Acknowledgement - 致谢
本文转载/引用了大量博主的文章，我们对他们的知识分享表示感谢，引用列表如下: 本文转载/引用了大量博主的文章，我们对他们的知识分享表示感谢，引用列表如下：
| Since 2024 🌹 | | | | | Since 2024 🌹 | | | |
|------|------|------|------| |------|------|------|------|
| [1] 知乎[穆尧](https: //www.zhihu.com/people/mu-yao-12-34) | [2] 知乎[东林钟声](https://www.zhihu.com/people/dong-lin-zhong-sheng-76), Github[Yunlong Dong](https: //github.com/yunlongdong) | [3] 知乎[强化学徒](https://www.zhihu.com/people/heda-he-28) | [4] 知乎[Biang哥](https://www.zhihu.com/people/qi-da-guang) | [5] OpenAI [Lilian Weng](https://lilianweng.github.io/) | | [1] 知乎[穆尧](https://www.zhihu.com/people/mu-yao-12-34) | [2] 知乎[东林钟声](https://www.zhihu.com/people/dong-lin-zhong-sheng-76), Github[Yunlong Dong](https://github.com/yunlongdong) | [3] 知乎[强化学徒](https://www.zhihu.com/people/heda-he-28) | [4] 知乎[Biang哥](https://www.zhihu.com/people/qi-da-guang) | [5] OpenAI [Lilian Weng](https://lilianweng.github.io/) |
# 🏷️ License - 许可证 # 🏷️ License - 许可证
This repository is released under the MIT license. See LICENSE for additional details. This repository is released under the MIT license. See LICENSE for additional details.