Information Package / Course Catalogue
Autonomous Mobile Robots
Course Code: CSE433
Course Type: Area Elective
Couse Group: First Cycle (Bachelor's Degree)
Education Language: English
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 6
Objectives of the Course

The aim of this course is to introduce the basic concepts and algorithms required to develop autonomous mobile robots in complex environments. The main emphasis is on mobile robot motion and kinematics, environmental perception, probabilistic map-based localization and mapping, and motion planning. The topics and exercises of this course cover various types of mobile robots such as wheeled robots, legged robots and drones.

Course Content

The core course content of Autonomous Mobile Robots course covers Locomotion Concepts, Mobile Robot Kinematics, Perception, Localization, SLAM and Planning.

Name of Lecturer(s)
Learning Outcomes
1.To be able to define the basic concepts and algorithms required for mobile robot motion, environment detection, map-based localization and mapping, and motion planning
2.Path planning and programming for mobile robot
3.To be able to apply these concepts for the design and implementation of autonomous mobile robots that move in complex environments.
4.To be able to apply these concepts for the design and implementation of autonomous mobile robots that move in complex environments.
5.To be able to apply these concepts for the design and implementation of autonomous mobile robots that move in complex environments.
Recommended or Required Reading
1.Siciliano, B., & Khatib, O. (Eds.). (2016). Springer handbook of robotics. springer.
2.Siegwart, R., Nourbakhsh, I. R., & Scaramuzza, D. (2011). Introduction to autonomous mobile robots. MIT press.
Weekly Detailed Course Contents
Week 1 - Theoretical & Practice
Basic concepts
Week 2 - Theoretical & Practice
Simulators and Basic Programming for Autonomous Mobile Robots
Week 3 - Theoretical & Practice
Mobile Robot Kinematics
Week 4 - Theoretical & Practice
Sensors and Sensing Basics
Week 5 - Theoretical & Practice
Sensors and Sensing Signals
Week 6 - Theoretical & Practice
Relative Localization Systems
Week 7 - Theoretical & Practice
Relative Localization Systems
Week 8 - Theoretical & Practice
Localization Systems
Week 9 - Theoretical & Practice
Localization Systems
Week 10 - Theoretical & Practice
SLAM
Week 11 - Theoretical & Practice
SLAM
Week 12 - Theoretical & Practice
Visual SLAM
Week 13 - Theoretical & Practice
Planning
Week 14 - Theoretical & Practice
Planning
Assessment Methods and Criteria
Type of AssessmentCountPercent
Term Assignment1%40
Midterm Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Assignment140114
Term Project116824
Midterm Examination116824
Final Examination1161632
TOTAL WORKLOAD (hours)150
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
OÇ-1
4
4
4
4
OÇ-2
5
4
4
4
OÇ-3
4
5
4
4
4
4
4
4
OÇ-4
4
5
4
4
4
4
4
4
OÇ-5
4
5
4
4
4
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026