Update README.md
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README.md
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README.md
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<section id="rl"></section>
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<section id="rl"></section>
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## Reinforcement Learning - 强化学习
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## Reinforcement Learning - 强化学习
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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)<br>
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* 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)<br>
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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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* 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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* 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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* 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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* 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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<section id="il"></section>
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## Imitation Learning - 模仿学习
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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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* 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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* 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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<section id="llm_robot"></section>
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## LLM for Robotics - 大模型在机器人学中的应用
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## LLM 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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* 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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* 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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* 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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* 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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* 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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* 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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* 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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<section id="3dv"></section>
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<section id="control"></section>
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<section id="control"></section>
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## Control - 控制学
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## Control - 控制学
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PID控制：[CSDN](https://blog.csdn.net/name_longming/article/details/115093338)
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> 关于控制部分的学习，最好从实践出发！
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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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* PID控制：[CSDN](https://blog.csdn.net/name_longming/article/details/115093338)
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具身智能ROS1基础: [website](http://www.autolabor.com.cn/book/ROSTutorials/)<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ROS2基础: [website](https://zhangzhiwei-zzw.github.io/ROS2%E5%AD%A6%E4%B9%A0/ROS2/)<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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机器人系统教材: [website](https://motion.cs.illinois.edu/RoboticSystems/)<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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动手实践Lerobot SO-100：[website](https://github.com/huggingface/lerobot/blob/main/examples/10_use_so100.md)<br>
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* 机器人系统教材: [website](https://motion.cs.illinois.edu/RoboticSystems/)<br>
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斯坦福机器人学导论：[website](https://www.bilibili.com/video/BV17T421k78T/?spm_id_from=333.337.search-card.all.click)<br>
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* 动手实践Lerobot SO-100：[website](https://github.com/huggingface/lerobot/blob/main/examples/10_use_so100.md)<br>
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台大机器人学导论：[website](https://www.bilibili.com/video/BV1Z34y1q7sZ/?spm_id_from=333.337.search-card.all.click)<br>
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* 斯坦福机器人学导论：[website](https://www.bilibili.com/video/BV17T421k78T/?spm_id_from=333.337.search-card.all.click)<br>
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共建全网最全具身智能知识库：[website](https://yv6uc1awtjc.feishu.cn/wiki/WPTzw9ON0ivIVrkLjVocNZh8nLf)<br>
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* 台大机器人学导论：[website](https://www.bilibili.com/video/BV1Z34y1q7sZ/?spm_id_from=333.337.search-card.all.click)<br>
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ROS多传感器时间戳同步：[website](https://blog.csdn.net/qq_43495930/article/details/125649446)
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* 共建全网最全具身智能知识库：[website](https://yv6uc1awtjc.feishu.cn/wiki/WPTzw9ON0ivIVrkLjVocNZh8nLf)<br>
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* ROS多传感器时间戳同步：[website](https://blog.csdn.net/qq_43495930/article/details/125649446)
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关于控制部分的学习，最好从实践出发！
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<section id="benchmarks"></section>
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<section id="benchmarks"></section>
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## Communities - 社区
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## Communities - 社区
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> 以下部分资料引用自[7]
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> 以下部分资料引用自[7]
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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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宇树具身智能社群: [website](https://www.unifolm.com/#/)
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* 宇树具身智能社群: [website](https://www.unifolm.com/#/)
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Simulately: Handy information and resources for physics simulators for robot learning research: [website](https://simulately.wiki/)
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* Simulately: Handy information and resources for physics simulators for robot learning research: [website](https://simulately.wiki/)
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DeepTimber-地瓜机器人社区: [website](https://cn.developer.d-robotics.cc/forumList?id=156&title=Deeptimber)
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* DeepTimber-地瓜机器人社区: [website](https://cn.developer.d-robotics.cc/forumList?id=156&title=Deeptimber)
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HuggingFace LeRobot (Europe, check the Discord): [website](https://github.com/huggingface/lerobot)
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* HuggingFace LeRobot (Europe, check the Discord): [website](https://github.com/huggingface/lerobot)
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K-scale labs (US, check the Discord): [website](https://kscale.dev/)
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* K-scale labs (US, check the Discord): [website](https://kscale.dev/)
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