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	356008	Advanced Robotics Lab	1	3.0	3	★	Chang,Wen-Chung	GEE IEECSG IMMA MSAI 半導體學位學程	0	0	Jointly offered by Electrical Engineering, Automation Technology departments.

Course Plan：

Instructor	Chang,Wen-Chung　Office Hours
Email	wchang@ntut.edu.tw
Last Updated	2025-12-16 12:30:39
Course Objective	Advanced Robotics Lab (ARLab) course is offered with all experimental in-class projects, same as its previous version “Advanced Robotics and Automation Applications (ARAA)”. Compared with Advanced Robotics Manipulation (ARM) course, this Advanced Robotics Lab (ARLab) course is offered for graduate students with programming experience, but no particular prerequisites, such as Advanced Robotics Manipulation (ARM), are required. ARLab focuses on projects in the areas of mobile robotics, manipulators, visual servoing, SLAM, and automation. The goals of the course can be summarized as below: [Projects will be arranged based on available equipment] 1. Mobile Robot Control Project: Visual Tracking, Eye-in-Hand, Eye-to-Hand 2. Mobile Robot Navigation Project: Manual Mapping, Autonomous Mapping, Localization and Navigation, SLAM and Navigation 3. Manipulator Control Project: Workpiece Picking & Placing, Visual Tracking, Eye-in-Hand, Eye-to-Hand Course handouts will be available via iStudy web. In addition to homework assignments, all projects must be completed and evaluated in class under supervision of Professor and TAs with particular attention to equipment operation safety.
Course Schedule	Tentative schedule 1 02/25 Introduction 2 03/04 Mobile Robot Control Project: Visual Tracking 3 03/11 Mobile Robot Control Project: Eye-in-Hand 4 03/18 Mobile Robot Control Project: Eye-to-Hand 5 03/25 Mobile Robot Navigation Project: Manual Mapping 6 04/01 Mobile Robot Navigation Project: Autonomous Mapping 7 04/08 Mobile Robot Navigation Project: Localization and Navigation 8 04/15 Mobile Robot Navigation Project: SLAM and Navigation 9 04/22 Tutorials on Simulations & Real-Time Experiments of UR3 10 04/29 Manipulator Control Project: Workpiece Picking & Placing 11 05/06 Manipulator Control Project: Visual Tracking 12 05/13 Manipulator Control Project: Eye-in-Hand 13 05/20 Manipulator Control Project: Eye-to-Hand 14 05/27 Paper presentation & Final Project (1/4) 15 06/03 Paper presentation & Final Project (2/4) 16 06/10 Paper presentation & Final Project (3/4) 17 06/17 Paper presentation & Final Project (4/4) 18 06/24 Final Presentation and Demo Final Project Report Due PS: The contents and order of lectures and projects will be adjusted according to actual needs
Evaluation and grading policy	The final grade will be a weighted average of attendance and homework 10%, in-class projects 60%, and final project (including proposal, presentation, and report) 30%.
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes 1. Introduction to Robotics: Mechanics and Control, John J. Craig, Addison-Wesley Publishing Company. 2. Robotics, Vision and Control: Fundamental Algorithms in MATLAB, Springer by Peter Corke, Publication Year: 2013 | ISBN 3642201431 | 1st Edition
The access to curricular consultation	Prof. Wen-Chung Chang (02)27712171 Ext. 2125, wchang@ntut.edu.tw Office hours: Check official EE website TAs: Chi-Fu Ho t113318133@ntut.edu.tw、Shao-Jie Kuo t114318122@ntut.edu.tw, (02)27712171 Ext. 2130
The course corresponds to the SDGs	SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
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	Contact Professor or TA via emails announced in iStudy. Class group such as Line will be established in the first class. Contact TA if you need to join class group or ask any questions.