Syllabus Application
Autonomous Mobile Robotics
ME 525
Faculty:
Faculty of Engineering and Natural Sciences
Semester:
Fall 2025-2026
Course:
Autonomous Mobile Robotics - ME 525
Classroom:
FENS-G029
Level of course:
Masters
Course Credits:
SU Credit:3.000, ECTS:10
Prerequisites:
-
Corequisites:
ME 525L
Course Type:
Lecture
Instructor(s) Information
Mustafa Ünel
- Email: munel@sabanciuniv.edu
Course Information
Catalog Course Description
The course covers fundamental problems of autonomous mobile robotics including locomotion, perception, localization, planning and navigation. In the context of locomotion, legged, wheeled and flying mobile robots will be discussed. In the perception part, various sensors that are used on mobile robots will be introduced and several sensor fusion algorithms will be presented. Localization problems will be tackled in a probabilistic framework using Markov and Kalman Filtering techniques. Simultaneous Localization and Mapping (SLAM) problem and its variations will also be introduced and discussed. Finally planning and navigation strategies will be covered.
Course Learning Outcomes:
| 1. | evaluate various locomotion mechanisms including legged, wheeled and flying locomotions. |
|---|---|
| 2. | design feedback controllers for motion control of the wheeled mobile robots |
| 3. | select appropriate sensors for perception including non-visual and visual sensors |
| 4. | implement localization and mapping algorithms using Markov and Kalman filter |
| 5. | synthesize optimal paths using artificial potential functions |
| 6. | demonstrate hands on experience with mobile robots |
Course Objective
-
Course Materials
Resources:
-
Technology Requirements:
-