Autonomous Mobile Robotics
ME 425

Unpublished Syllabus
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Faculty: Faculty of Engineering and Natural Sciences
Semester: Fall 2025-2026
Course: Autonomous Mobile Robotics - ME 425
Classroom: FENS-G029
Level of course: Undergraduate
Course Credits: SU Credit:4.000, ECTS:7, Basic:1, Engineering:6
Prerequisites: ENS 206 or ENS 211
Corequisites: ME 425L
Course Type: Lecture

Instructor(s) Information

Mustafa Ünel

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. fusion algorithms will be presented. Localization 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 filters
5. synthesize optimal paths using artificial potential functions
6. demonstrate hands-on experience with mobile robots
Course Objective
To teach fundamentals of autonomous mobile robotics that include locomotion, perception, localization, mapping, planning and navigation of mobile robots so that students can acquire a solid theoretical background and hands-on experience in mobile robotics.

Course Materials

Resources:
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Technology Requirements:
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