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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>
@ -33,36 +33,36 @@
<section id="rl"></section> <section id="rl"></section>
# Reinforcement Learning - 强化学习 # Reinforcement Learning - 强化学习
台湾大学李宏毅公开课: [bilibili](https://www.bilibili.com/video/BV1XP4y1d7Bk/?spm_id_from=333.337.search-card.all.click&vd_source=ab9cf5374617c2867aaea34af29b53c9)<br> 台湾大学李宏毅公开课: [bilibili](https://www.bilibili.com/video/BV1XP4y1d7Bk/?spm_id_from=333.337.search-card.all.click&vd_source=ab9cf5374617c2867aaea34af29b53c9)<br>
EasyRL - 蘑菇书: [website](https://datawhalechina.github.io/easy-rl/#/)<br> EasyRL - 蘑菇书: [website](https://datawhalechina.github.io/easy-rl/#/)<br>
强化学习的数学原理 - 西湖大学赵世钰: [bilibili](https://space.bilibili.com/2044042934/channel/collectiondetail?sid=748665)<br> 强化学习的数学原理 - 西湖大学赵世钰: [bilibili](https://space.bilibili.com/2044042934/channel/collectiondetail?sid=748665)<br>
实践[gymnasium](https://gymnasium.farama.org/)，可以尝试一下把玩一下登月着陆等经典强化学习场景，思考+动手，观察阶段agent的表现并分析，有助于深入理解强化学习 实践[gymnasium](https://gymnasium.farama.org/)，可以尝试一下把玩一下登月着陆等经典强化学习场景，思考+动手，观察阶段agent的表现并分析，有助于深入理解强化学习
<section id="il"></section> <section id="il"></section>
# 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>
# Large Language Model for Robotics - 大模型在机器人学中的应用 # Large Language Model for Robotics - 大模型在机器人学中的应用
Robotics+LLM系列通过大语言模型控制机器人 [2]: [zhihu](https://zhuanlan.zhihu.com/p/668053911)<br> Robotics+LLM系列通过大语言模型控制机器人 [2]: [zhihu](https://zhuanlan.zhihu.com/p/668053911)<br>
PDDL-wiki: [website](https://planning.wiki/)<br> PDDL-wiki: [website](https://planning.wiki/)<br>
An Introduction to PDDL: [PDF](https://www.cs.toronto.edu/~sheila/2542/s14/A1/introtopddl2.pdf)<br> An Introduction to PDDL: [PDF](https://www.cs.toronto.edu/~sheila/2542/s14/A1/introtopddl2.pdf)<br>
AI Agent from IBM: An artificial intelligence (AI) agent refers to a system or program that is capable of autonomously performing tasks on behalf of a user or another system by designing its workflow and utilizing available tools.<br> AI Agent from IBM: An artificial intelligence (AI) agent refers to a system or program that is capable of autonomously performing tasks on behalf of a user or another system by designing its workflow and utilizing available tools.<br>
Embodied Agent wiki: [website](https://en.wikipedia.org/wiki/Embodied_agent)<br> Embodied Agent wiki: [website](https://en.wikipedia.org/wiki/Embodied_agent)<br>
Awesome-LLM-Robotics: A repo contains a curative list of papers using Large Language/Multi-Modal Models for Robotics/RL. [website](https://github.com/GT-RIPL/Awesome-LLM-Robotics)<br> Awesome-LLM-Robotics: A repo contains a curative list of papers using Large Language/Multi-Modal Models for Robotics/RL. [website](https://github.com/GT-RIPL/Awesome-LLM-Robotics)<br>
Lilian Weng 个人博客 - AI Agent 系统综述 [5]: 中文: [website](https://mp.weixin.qq.com/s/Jb8HBbaKYXXxTSQOBsP5Wg) 英文: [website](https://lilianweng.github.io/posts/2023-06-23-agent/)<br> Lilian Weng 个人博客 - AI Agent 系统综述 [5]: 中文: [website](https://mp.weixin.qq.com/s/Jb8HBbaKYXXxTSQOBsP5Wg) 英文: [website](https://lilianweng.github.io/posts/2023-06-23-agent/)<br>
<section id="3dv"></section> <section id="3dv"></section>
# 3D Vision - 三维视觉 # 3D Vision - 三维视觉
三维视觉导论 - Andreas Geiger: [website](https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/computer-vision/) 三维视觉导论 - Andreas Geiger: [website](https://uni-tuebingen.de/fakultaeten/mathematisch-naturwissenschaftliche-fakultaet/fachbereiche/informatik/lehrstuehle/autonomous-vision/lectures/computer-vision/)
## 3DGS ## 3DGS
3D Gaussian Splatting原理速通: [bilibili](https://www.bilibili.com/video/BV11e411n79b/?spm_id_from=333.788&vd_source=ab9cf5374617c2867aaea34af29b53c9) 3D Gaussian Splatting原理速通: [bilibili](https://www.bilibili.com/video/BV11e411n79b/?spm_id_from=333.788&vd_source=ab9cf5374617c2867aaea34af29b53c9)
@ -76,25 +76,25 @@ 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>
# Useful Info - 有利于搭建认知的资料 # Useful Info - 有利于搭建认知的资料
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) 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) AI领域值得关注的博主列表 [3]: [zhihu](https://zhuanlan.zhihu.com/p/682110383)
Robotics实验室总结 [4]: [zhihu_1](https://zhuanlan.zhihu.com/p/682671294?utm_psn=1782122763157188608), [zhihu_2](https://zhuanlan.zhihu.com/p/682692024?utm_psn=1782122945184796672) Robotics实验室总结 [4]: [zhihu_1](https://zhuanlan.zhihu.com/p/682671294?utm_psn=1782122763157188608), [zhihu_2](https://zhuanlan.zhihu.com/p/682692024?utm_psn=1782122945184796672)
<section id="communities"></section> <section id="communities"></section>
# Communities - 社区 # Communities - 社区
DeepTimber Robotics Innovations Community, 深木科研交流社区: [website](https://gamma.app/public/DeepTimber-Robotics-Innovations-Community-A-Community-for-Multi-m-og0uv8mswl1a3q7?mode=doc) DeepTimber Robotics Innovations Community, 深木科研交流社区: [website](https://gamma.app/public/DeepTimber-Robotics-Innovations-Community-A-Community-for-Multi-m-og0uv8mswl1a3q7?mode=doc)
<section id="acknowledgement"></section> <section id="acknowledgement"></section>
@ -103,14 +103,14 @@ DeepTimber Robotics Innovations Community, 深木科研交流社区: [website](
<section id="companies"></section> <section id="companies"></section>
# Companies - 公司 # Companies - 公司
松灵AgileX: [website](https://www.agilex.ai/)<br> 松灵AgileX: [website](https://www.agilex.ai/)<br>
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.