Syllabus Application
EE 529
Vision Based Control
Faculty
Faculty of Engineering and Natural Sciences
Semester
Fall 2026-2027
Course
EE 529 -
Vision Based Control
Time/Place
Time
Week Day
Place
Date
11:40-12:30
Tue
FENS-G025
Sep 28-Dec 31, 2026
13:40-15:30
Thu
FENS-L027
Sep 28-Dec 31, 2026
Level of course
Masters
Course Credits
SU Credit:3, ECTS:10
Prerequisites
-
Corequisites
-
Course Type
Lecture
Instructor(s) Information
Mustafa Ünel
- Email: munel@sabanciuniv.edu
Course Information
Catalog Course Description
This course is about the application or processing of visual information in a way that entails the design and analysis of algorithms incorporating concepts studied in the field of control, namely feedback, estimation, and dynamics. It covers Image Formation Basics, Image Features and Correspondence, Recursive Estimation from Image Sequences, Image-Based and Position-Based Visual Servoing, Extending Visual Servoing Techniques to Nonholonomic Mobile Robots, Vision-Based System Identification and State Estimation.
Learning Outcomes:
| 1. | After taking this course, a successful graduate student will be able to use vision in robotic systems. In particular, students should be able to: 1. Identify various visual servoing approaches, 2. Estimate image jacobian 3. Design image based visual controllers 4. Design position based visual controllers 5. Design hybrid visual controllers |
|---|
Course Objective
To design vision-based feedback control algorithms for robot motion.
Sustainable Development Goals (SDGs) Related to This Course:
| Industry, Innovation and Infrastructure |
Course Materials
Resources:
Readings
- Slides, Tutorials and Papers
- Visual Perception and Robotic Manipulation, G. Taylor, L. Kleeman, Springer, 2006
- Slides, Tutorials and Papers
- Visual Perception and Robotic Manipulation, G. Taylor, L. Kleeman, Springer, 2006