| Course Name |
(中) 機器人學(3226) |
| (Eng.) Robotics |
| Offering Dept |
Department of Bio-industrial Mechatronics Engineering |
| Course Type |
Elective |
Credits |
3 |
Teacher |
Hao-Ting Lin |
| Department |
Department of Bio-industrial Mechatronics Engineering/Undergraduate |
Language |
English |
Semester |
2026-SPRING |
| Course Description |
This course introduces the fundamentals of robotic mechanisms, kinematics, dynamics, and intelligent control. Topics include planar and spatial kinematics, motion planning, mechanism design for manipulators and mobile robots, multi-rigid-body dynamics, 3D graphical simulation, control system design, actuators and sensors, wireless communication, task modeling, human–machine interfaces, and embedded systems. Students will complete a project involving the analysis and design of robotic systems. |
| Prerequisites |
|
self-directed learning in the course |
Y |
| Relevance of Course Objectives and Core Learning Outcomes(%) |
Teaching and Assessment Methods for Course Objectives |
| Course Objectives |
Competency Indicators |
Ratio(%) |
Teaching Methods |
Assessment Methods |
| This course aims to develop students’ understanding of fundamental concepts and practical skills in intelligent robotics. Students will study spatial transformations, kinematics, software control architectures, sensing, localization, and navigation. Through midterm and final projects, students will learn to analyze research literature, evaluate methodologies, and implement robotic tasks based on published work. |
| 1.Be capable of the fundamental concepts with functional understanding to mechanical, mechatronic and Information engineering for a lifelong, professional career. |
|
|
|
| Attendance |
| Quiz |
| Written Presentation |
| Oral Presentation |
| Internship |
|
| Course Content and Homework/Schedule/Tests Schedule |
| Week |
Course Content |
| Week 1 |
Introduction |
| Week 2 |
Introduction |
| Week 3 |
Spatial Descriptions and Transformations |
| Week 4 |
Spatial Descriptions and Transformations
Quiz 1 |
| Week 5 |
Manipulator Kinematics |
| Week 6 |
Manipulator Kinematics |
| Week 7 |
Inverse Manipulator Kinematics |
| Week 8 |
Midterm exam |
| Week 9 |
Inverse Manipulator Kinematics |
| Week 10 |
Trajectory Generation |
| Week 11 |
Trajectory Generation |
| Week 12 |
Linear Control of Manipulators |
| Week 13 |
Linear Control of Manipulators
Quiz 2 |
| Week 14 |
Robot Programming Languages and Systems
|
| Week 15 |
Final Report |
| Week 16 |
Final Report |
self-directed
learning |
01.Participation in professional forums, lectures, and corporate sharing sessions related to industry-government-academia-research exchange activities.
05.Participation in various workshops organized by different departments of NCHU.
|
|
| Evaluation |
Attendance (10%)
Students who attend both quizzes receive full scores. If a student is absent with an approved leave, the attendance score for that quiz will not be counted. Absences without approved leave will receive a score of zero for that quiz.
Quizzes (40%)
The quiz grade is the average of two in-class quizzes. Regardless of approved leave status, missed quizzes will receive a score of zero.
Midterm Exam (30%)
No approved leave are allowed.
Final Project/Presentation (20%)
No makeup submissions are allowed.
Group Work
Presentations are conducted in groups of two students. |
| Textbook & other References |
| John Craig, Introduction to Robotics Mechanics and Control. 4th Ed., Pearson Education. |
| Teaching Aids & Teacher's Website |
|
| Office Hours |
| W1 11:00-12:00 |
| Sustainable Development Goals, SDGs(Link URL) |
| 09.Industry, Innovation and Infrastructure | include experience courses：N |
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