Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2026 359946 Urban Robotics & AI 1 3.0 3 ★ Ho-Chiao Chuang MSAI 19 0 先鋒1樓城市科學實驗室

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	359946	Urban Robotics & AI	1	3.0	3	★	Ho-Chiao Chuang	MSAI	19	0	先鋒1樓城市科學實驗室

Course Plan：

Instructor Ho-Chiao Chuang　Office Hours

Email hchuang@ntut.edu.tw

Last Updated 2026-01-08 17:46:27

Course Objective 上課地點: 先國際研發大樓一樓城市科學實驗室上課時間: 每周五13:10-16:00 備註: 教學以實作課程為主，選課人數限制20人。其他要求: 須自備電腦與Python 3的環境須具備程式語言programming能力課程介紹課程將邀請業界專家分享實際案例，幫助學生通過實例理解理論知識，並建立基本的觀念。通過這門課程，學生將具備在城市環境中部署和運行先進機器人協作系統的能力，提升他們在AI和機器人技術領域的專業素養和實踐技能。 This course aims to teach students how to use the physics simulation engine Mujoco for robotic simulation and control while deepening their understanding of control theories such as LQR and PID through hands-on implementation. The course covers the fundamental operations of Mujoco, including environment setup, model creation, and dynamics simulation. Students will also explore state estimation and control strategies for robotic systems. Through practical exercises and projects, students will learn how to leverage Mujoco to test and validate various control algorithms, building a solid foundation for future research or development in robotics.

Course Schedule wk1 Introduction wk2 OpenUSD intro wk3 OpenUSD intro wk4 ROS2 intro wk5 ROS2 intro wk6 OpenUSD intro wk7 Software in the loop wk8 Software in the loop wk9 Software in the loop wk10 Software in the loop wk11 IsaacLab wk12 IsaacLab wk13 IsaacLab wk14 IsaacLab wk15 IsaacLab wk16 IsaacLab wk17 IsaacLab wk18 IsaacLab

Evaluation and grading policy 出席率：10% 小考：25% 期末展示：25% 課堂表現：40%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:No
本課程使用自編講義教材 [1] How to Make (Almost) Anything [2] MAS.863 (2019) , (2020) [3] Final Project

The access to curricular consultation 每周二上午 9-12點為 Office hours

Expanding teaching and resources

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG11：永續城市與社區（Sustainable Cities and Communities）

Does the course incorporate AI ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

Note
1. 修課人數以20人為限。

Instructor	Ho-Chiao Chuang　Office Hours
Email	hchuang@ntut.edu.tw
Last Updated	2026-01-08 17:46:27
Course Objective	上課地點: 先國際研發大樓一樓城市科學實驗室上課時間: 每周五13:10-16:00 備註: 教學以實作課程為主，選課人數限制20人。其他要求: 須自備電腦與Python 3的環境須具備程式語言programming能力課程介紹課程將邀請業界專家分享實際案例，幫助學生通過實例理解理論知識，並建立基本的觀念。通過這門課程，學生將具備在城市環境中部署和運行先進機器人協作系統的能力，提升他們在AI和機器人技術領域的專業素養和實踐技能。 This course aims to teach students how to use the physics simulation engine Mujoco for robotic simulation and control while deepening their understanding of control theories such as LQR and PID through hands-on implementation. The course covers the fundamental operations of Mujoco, including environment setup, model creation, and dynamics simulation. Students will also explore state estimation and control strategies for robotic systems. Through practical exercises and projects, students will learn how to leverage Mujoco to test and validate various control algorithms, building a solid foundation for future research or development in robotics.
Course Schedule	wk1 Introduction wk2 OpenUSD intro wk3 OpenUSD intro wk4 ROS2 intro wk5 ROS2 intro wk6 OpenUSD intro wk7 Software in the loop wk8 Software in the loop wk9 Software in the loop wk10 Software in the loop wk11 IsaacLab wk12 IsaacLab wk13 IsaacLab wk14 IsaacLab wk15 IsaacLab wk16 IsaacLab wk17 IsaacLab wk18 IsaacLab
Evaluation and grading policy	出席率：10% 小考：25% 期末展示：25% 課堂表現：40%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No 本課程使用自編講義教材 [1] How to Make (Almost) Anything [2] MAS.863 (2019) , (2020) [3] Final Project
The access to curricular consultation	每周二上午 9-12點為 Office hours
Expanding teaching and resources
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG11：永續城市與社區（Sustainable Cities and Communities）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note	1. 修課人數以20人為限。