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</li>
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<li><a href="#paper_list">6. Paper Lists - 论文列表</a></li>
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<li><a href="#communities">7. Communities - 社区</a></li>
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<li><a href="#acknowledgement">9. Acknowledgement - 致谢</a></li>
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<li><a href="#acknowledgement">8. Acknowledgement - 致谢</a></li>
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</ul>
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</nav>
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## 4. Hardware - 硬件
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《机器人学简介》, 来自[2]做的高质量教材: [PDF](./files/%E6%9C%BA%E5%99%A8%E4%BA%BA%E5%AD%A6%E7%AE%80%E4%BB%8B.pdf)
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《机器人系统教材》: [website](https://motion.cs.illinois.edu/RoboticSystems/)
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<section id="control"></section>
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### 4.1 Control - 控制学
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> 关于控制部分的学习,最好从实践出发!
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* PID控制:[CSDN](https://blog.csdn.net/name_longming/article/details/115093338)
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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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* 机器人系统教材: [website](https://motion.cs.illinois.edu/RoboticSystems/)<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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* ROS基础:
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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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* 基础控制理论:
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* PID控制:[CSDN](https://blog.csdn.net/name_longming/article/details/115093338)
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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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* ROS多传感器时间戳同步:[website](https://blog.csdn.net/qq_43495930/article/details/125649446)
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* 动手实践LeRobot SO-100:[website](https://huggingface.co/lerobot)<br>
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<section id="sensors"></section>
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<a name="acknowledgement"></a>
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## 9. Acknowledgement - 致谢
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## 8. Acknowledgement - 致谢
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本文转载/引用了一些博主的文章,我们对他们的知识分享表示感谢,引用列表如下:
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[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/), [6] B站 [木木具身](https://space.bilibili.com/350563565), [7] Github [Zhuoheng Li](https://github.com/StarCycle/EmbodiedAI-Reading-List-For-Lists?tab=readme-ov-file), [8] 知乎 [Flood Sung](https://www.zhihu.com/people/flood-sung), [9] Github [Sida Peng](https://github.com/pengsida/learning_research)
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