Course Details

AUTONOMOUS MOBILE ROBOTS

ECE504

Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
1ECE504AUTONOMOUS MOBILE ROBOTS3+0+037,5

Course Details
Language of Instruction English
Level of Course Unit Master's Degree
Department / Program ELECTRICAL AND COMPUTER ENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course The main goals of the course are:
Demonstrating work mechanisms of various ground and aerial autonomous mobile robots;
Providing fundamental background on mobile robot estimation, planning, and control algorithms;
Presenting applications on simulation environments for mobile robots such as Robot Operating System (ROS).
Course Content The course will cover the theoretical and practical essentials of ground and aerial autonomous mobile robots. Topics include mobile robot motion modeling, kinematics and dynamics; navigation, perception, and execution algorithms for mobile robots; estimation frameworks such as Bayesian filtering methods (Kalman, EKF, particle, etc.) and their applications; localization; mapping; and path planning. The course will start with a quick review of linear algebra and probability. Special emphasis will be given to implementation of the algorithms on mobile robots in realistic simulation environments.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator Asist Prof.Dr. SAMET GÜLER samet.guler@agu.edu.tr
Name of Lecturers None
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources


Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
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ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Ev Ödevi 5 7 35
Proje 3 5 15
Okuma 10 3 30
Araştırma 12 2 24
Takım/Grup Çalışması 12 4 48
Yüz Yüze Ders 14 3 42
Total Work Load   Number of ECTS Credits 6,5 194

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Analyze several path planning, control, and estimation techniques designed for autonomous mobile robots in unknown environments;
2 Formulate a real-world problem for a mobile robot in terms of control, estimation, and navigation sub-tasks;
3 Evaluate quantitatively the performance of estimation, control, and planning algorithm designs for mobile robots;
4 Design and implement integrated navigation and perception algorithms on a set of mobile robots in realistic simulation environments such as Gazebo.


Weekly Detailed Course Contents
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Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11
C1
C2
C3
C4

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant


https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=77710&lang=en