Update README.md (fix)
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README.md
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README.md
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<section id="rl"></section>
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# Reinforcement Learning - 强化学习
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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>
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EasyRL - 蘑菇书: [website](https: //datawhalechina.github.io/easy-rl/#/)<br>
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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>
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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
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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>
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EasyRL - 蘑菇书: [website](https://datawhalechina.github.io/easy-rl/#/)<br>
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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>
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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
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<section id="il"></section>
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# Imitation Learning - 模仿学习
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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>
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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)
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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>
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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)
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<section id="llm_robot"></section>
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# Large Language Model for Robotics - 大模型在机器人学中的应用
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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>
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PDDL-wiki: [website](https: //planning.wiki/)<br>
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An Introduction to PDDL: [PDF](https: //www.cs.toronto.edu/~sheila/2542/s14/A1/introtopddl2.pdf)<br>
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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>
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PDDL-wiki: [website](https://planning.wiki/)<br>
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An Introduction to PDDL: [PDF](https://www.cs.toronto.edu/~sheila/2542/s14/A1/introtopddl2.pdf)<br>
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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>
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Embodied Agent wiki: [website](https: //en.wikipedia.org/wiki/Embodied_agent)<br>
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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>
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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>
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Embodied Agent wiki: [website](https://en.wikipedia.org/wiki/Embodied_agent)<br>
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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>
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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>
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<section id="3dv"></section>
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# 3D Vision - 三维视觉
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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/)
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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/)
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## 3DGS
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3D Gaussian Splatting原理速通: [bilibili](https: //www.bilibili.com/video/BV11e411n79b/?spm_id_from=333.788&vd_source=ab9cf5374617c2867aaea34af29b53c9)
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3D Gaussian Splatting原理速通: [bilibili](https://www.bilibili.com/video/BV11e411n79b/?spm_id_from=333.788&vd_source=ab9cf5374617c2867aaea34af29b53c9)
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<section id="control"></section>
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# Control - 控制学
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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)<br>
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具身智能ROS1基础: [website](http: //www.autolabor.com.cn/book/ROSTutorials/)<br>
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具身智能ROS2基础: [website](https: //zhangzhiwei-zzw.github.io/ROS2%E5%AD%A6%E4%B9%A0/ROS2/)<br>
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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)<br>
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具身智能ROS1基础: [website](http://www.autolabor.com.cn/book/ROSTutorials/)<br>
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具身智能ROS2基础: [website](https://zhangzhiwei-zzw.github.io/ROS2%E5%AD%A6%E4%B9%A0/ROS2/)<br>
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<section id="benchmarks"></section>
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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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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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AI领域值得关注的博主列表 [3]: [zhihu](https://zhuanlan.zhihu.com/p/682110383)
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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)
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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)
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<section id="communities"></section>
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# Communities - 社区
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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)
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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)
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<section id="acknowledgement"></section>
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<section id="companies"></section>
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# Companies - 公司
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松灵AgileX: [website](https: //www.agilex.ai/)<br>
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宇树Unitree: [website](https: //www.unitree.com/cn)<br>
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松灵AgileX: [website](https://www.agilex.ai/)<br>
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宇树Unitree: [website](https://www.unitree.com/cn)<br>
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# 🙏 Acknowledgement - 致谢
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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:
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| Since 2024 🌹 | | | |
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|------|------|------|------|
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| [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/) |
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| [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/) |
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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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