具身智能中文指南（12月15日前将完善）

【 Github Repo, Latest Update: Sep 1, 2024 】

🦉Contributors: 陈天行 (25' 港大PhD), 邹誉德 (25' 上交-浦江实验室联培PhD), 陈思翔 (25' 北大PhD), 叶雯 (25' 中科院自动化所PhD), 陈攒鑫 (深大本科生), 彭时佳 (深大本科生)

> 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🌟~
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🌹
# Contents - 目录

# Start Up - 从这里开始 **什么是具身智能？**
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。

# Reinforcement Learning - 强化学习 UCB CS285 深度强化学习: [website](https://rail.eecs.berkeley.edu/deeprlcourse/) | [youtube](https://www.youtube.com/playlist?list=PL_iWQOsE6TfVYGEGiAOMaOzzv41Jfm_Ps)
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)
EasyRL - 蘑菇书: [website](https://datawhalechina.github.io/easy-rl/#/)
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)
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

# 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)
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×tamp=1721464513&unique_k=Cqj5d9J&up_id=2185804&vd_source=ab9cf5374617c2867aaea34af29b53c9)

# 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)
PDDL-wiki: [website](https://planning.wiki/)
An Introduction to PDDL: [PDF](https://www.cs.toronto.edu/~sheila/2542/s14/A1/introtopddl2.pdf)
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.
Embodied Agent wiki: [website](https://en.wikipedia.org/wiki/Embodied_agent)
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)
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/)

# 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/)
GAMES203 - 三维重建和理解: [bilibili](https://www.bilibili.com/video/BV1pw411d7aS/?share_source=copy_web&vd_source=0b7603f37af6d369a97df34525b149be)
Advances in 3D pre-training and downstream tasks: a survey. [PDF](https://link.springer.com/content/pdf/10.1007/s44336-024-00007-4.pdf)
## 3DGS 3D Gaussian Splatting原理速通: [bilibili](https://www.bilibili.com/video/BV11e411n79b/?spm_id_from=333.788&vd_source=ab9cf5374617c2867aaea34af29b53c9)

# Control - 控制学彻底搞懂阻抗控制、导纳控制、力位混合控制: [CSDN](https://blog.csdn.net/a735148617/article/details/108564836)
具身智能ROS1基础: [website](http://www.autolabor.com.cn/book/ROSTutorials/)
具身智能ROS2基础: [website](https://zhangzhiwei-zzw.github.io/ROS2%E5%AD%A6%E4%B9%A0/ROS2/)
机器人系统教材: [website](https://motion.cs.illinois.edu/RoboticSystems/)

# Benchmarks & Simulators - 基准 & 仿真器具身智能常用benchmark总结 [1]: [zhihu](https://zhuanlan.zhihu.com/p/695342864)
常见仿真器wiki: [wiki](https://simulately.wiki/) | 仿真器 | 基准 | |-------|------| | [IsaacSim](https://developer.nvidia.com/isaac/sim) | [BEHAVIOR-1K(可跨平台)](https://behavior.stanford.edu/behavior-1k)+[omniGibson(工具链)](https://behavior.stanford.edu/omnigibson/)
[ARNOID](https://arnold-benchmark.github.io/) | | [MuJoCo](https://mujoco.org/) | [robosuite](https://robosuite.ai/docs/overview.html)+[robomimic(工具链)](https://robomimic.github.io/)
[LIBERO](https://libero-project.github.io/main.html)
[MetaWorld](https://meta-world.github.io/)
[Gymnasium-Robotics(Fetch; Shadow Dexterous Hand; Maze; Adroit Hand; Franka Kitchen; MaMuJoCo)](https://robotics.farama.org/)
[RoboCasa](Docs.qq.com/sheet/DYmppSU55cFNpaVJo?tab=BB08J2)
[RoboHive](https://github.com/vikashplus/robohive) | | [Sapien](https://sapien.ucsd.edu/) | [ManiSkill](https://maniskill.readthedocs.io/en/latest/index.html)
[RoboTwin](https://github.com/TianxingChen/RoboTwin) | | [CoppeliaSim](https://www.coppeliarobotics.com/) | [RLBench](https://github.com/stepjam/RLBench)
[PerAct2](https://bimanual.github.io/)
[COLOSSEUM](https://robot-colosseum.github.io/) | | [PyBullet](https://pybullet.org/wordpress/) | [Calvin](https://github.com/mees/calvin?tab=readme-ov-file)
[Ravens](https://github.com/google-research/ravens)
[VimaBench](https://github.com/vimalabs/VimaBench) |

# 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×tamp=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) 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)

# 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)

# Companies - 公司松灵AgileX: [website](https://www.agilex.ai/)
宇树Unitree: [website](https://www.unitree.com/cn)
# 🙏 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： | 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/) | # 🏷️ License - 许可证 This repository is released under the MIT license. See LICENSE for additional details.