Information Package / Course Catalogue
Robotic Vision and Control
Course Code: RYZ122
Course Type: Area Elective
Couse Group: Short Cycle (Associate's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 1
Credit: 3
Lab: 0
ECTS: 4
Objectives of the Course

To equip students with the ability to design and implement visual-feedback systems that control a robot's position and motion in real time using image data.

Course Content

This course covers visual-feedback (visual servoing) approaches that connect image information obtained from cameras to the control of robot motion. Camera modeling and calibration, extraction and tracking of image features, object and pose estimation, image-based (IBVS) and position-based (PBVS) visual servoing, hand-eye calibration, and the design and stability of a real-time vision-control loop are addressed.

Name of Lecturer(s)
Learning Outcomes
1.Applies the camera model and calibration; determines intrinsic and extrinsic parameters.
2.Extracts and tracks image features and estimates object pose.
3.Designs image-based (IBVS) and position-based (PBVS) visual servoing.
4.Sets up and calibrates eye-in-hand / eye-to-hand configurations.
5.Implements a real-time vision-control loop and evaluates its performance.
Recommended or Required Reading
1.Robotics, Vision and Control: Fundamental Algorithms In MATLAB® Second, Completely Revised, Extended And Updated Edition by Peter Corke (Author)
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction to robotic vision and control
Week 2 - Theoretical
Image formation and the camera model (pinhole)
Week 3 - Theoretical
Camera calibration; intrinsic and extrinsic parameters
Week 4 - Theoretical
Image processing and feature extraction
Week 5 - Theoretical
Feature matching and tracking
Week 6 - Theoretical
Multi-view geometry and depth estimation
Week 7 - Theoretical
Object and pose estimation
Week 8 - Theoretical
Visual feedback; image Jacobian (interaction matrix)
Week 9 - Theoretical
Image-based visual servoing (IBVS)
Week 10 - Theoretical
Position-based visual servoing (PBVS)
Week 11 - Theoretical
Hand-eye calibration and camera-robot configuration
Week 12 - Theoretical
Real-time vision-control loop and stability
Week 13 - Theoretical
Application: grasping/tracking project with visual servoing and presentations
Week 14 - Theoretical
Application: grasping/tracking project with visual servoing and presentations
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures10%5
Quiz1%5
Midterm Examination1%30
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140114
Assignment40416
Project40520
Studio Work140114
Quiz1011
Midterm Examination1011
Final Examination1011
TOTAL WORKLOAD (hours)95
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
PÇ-11
PÇ-12
PÇ-13
PÇ-14
PÇ-15
OÇ-1
5
5
5
5
5
5
5
OÇ-2
5
5
5
5
5
5
5
OÇ-3
5
5
5
5
5
5
5
OÇ-4
5
5
5
5
5
5
5
OÇ-5
5
5
5
5
5
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026