添加机器人相关课程

docs/机器人理论相关/NTURob1.en.md

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+# NTU Peiqun Lin : Robotics
+
+## Descriptions
+
+- Offered by: National Taiwan University
+- Prerequisites: Linear Algebra and Calculus
+- Programming Languages: None
+- Difficulty: 🌟🌟🌟
+- Class Hour: 35 hours
+
+This course ranks among the most-viewed robotics theory courses on Bilibili (possibly the absolute top). It covers fundamental robotics theories such as coordinate transformations, joint representations, and forward/inverse kinematics, divided into kinematics and dynamics sections. It serves as an excellent introductory course for those researching robotic systems rather than pure AI, with the instructor delivering exceptionally clear and accessible explanations.
+
+Translated with DeepL.com (free version)
+
+## Course Resources
+
+- Course Website: <https://www.coursera.org/learn/robotics1/home>
+- Recordings: <https://www.bilibili.com/video/BV1v4411H7ez?spm_id_from=333.788.videopod.episodes&vd_source=eea47a16439992e41b232bc5d5684e27&p=31>
+- Textbooks: Books related to robotics—electronic versions are available in the Bilibili comment section.
+- Assignments: None
+
+## Personal Resources
+
+@Michael-Jetson I have studied some of the content and compiled relevant notes, which I have placed in my personal repository for reference: [Planning_Decision_and_Control_Note](https://github.com/Michael-Jetson/Planning_Decision_and_Control_Note)

docs/机器人理论相关/NTURob1.md

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+# 国立台湾大学：林沛群机器人学
+
+## 课程简介
+
+- 所属大学：国立台湾大学
+- 先修要求：线性代数和微积分
+- 编程语言：无
+- 课程难度：🌟🌟🌟
+- 预计学时：35小时
+
+
+这门课是 B 站上机器人学理论播放量最高的课程之一（可能没有之一，就是最高），主要内容是机器人学的基础理论，如坐标变换、关节表示、正逆运动学等，其分为运动学和动力学部分，对于研究机器人系统而非纯 AI 的人来说是一个很好的入门课程，老师讲解的非常清晰易懂
+
+## 课程资源
+
+- 课程网站：<https://www.coursera.org/learn/robotics1/home>
+- 课程视频：<https://www.bilibili.com/video/BV1v4411H7ez?spm_id_from=333.788.videopod.episodes&vd_source=eea47a16439992e41b232bc5d5684e27&p=31>
+- 课程教材：机器人学相关书籍，B 站评论区有电子版
+- 课程作业：无
+
+## 资源汇总
+
+@Michael-Jetson 本人学习了其中的部分内容，并且将其整理出相关笔记，放在个人仓库中，可以作为一个参考 [决策规划与控制笔记仓库](https://github.com/Michael-Jetson/Planning_Decision_and_Control_Note) 。

mkdocs.yml

@@ -267,6 +267,8 @@ nav:
       - "Neural Networks: Zero to Hero": "人工智能/Neural Networks: Zero to Hero.md"
       - "Harvard CS50's Introduction to AI with Python": "人工智能/CS50.md"
       - "UCB CS188: Introduction to Artificial Intelligence": "人工智能/CS188.md"
+  - 机器人理论相关:
+      - "国立台湾大学：林沛群机器人学": "机器人理论相关/NTURob1.md"
   - 机器学习:
       - "Coursera: Machine Learning": "机器学习/ML.md"
       - "Stanford CS229: Machine Learning": "机器学习/CS229.md"