Course Details

ROBOTIC SYSTEM DESIGN CAPSULE

EE4002

Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS Credits
7EE4002ROBOTIC SYSTEM DESIGN CAPSULE6+3+0710

Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program ELECTRICAL-ELECTRONICS ENGINEERING
Type of Program Formal Education
Type of Course Unit Elective
Course Delivery Method Face To Face
Objectives of the Course Developing basic understanding of robot manipulators, autonomous mobile robots, and their applications.
Providing fundamental background on robot manipulator kinematics, dynamics, and control.
Demonstrating work mechanisms of various ground and aerial autonomous mobile robots.
Providing fundamental background on mobile robot estimation, planning, and control algorithms.
Presenting the common simulation tools and operating systems for robots such as Robot Operating System (ROS).
Course Content The course covers the kinematic and dynamic analysis of robot manipulators and theoretical and practical essentials of ground and aerial autonomous mobile robots. Topics include rigid transformations, a review of linear systems and probability, manipulator kinematics, dynamics, differential kinematics and Jacobian, mobile robot motion modeling, kinematics and dynamics, navigation, perception, and execution algorithms for mobile robots, robot arm trajectory planning, Bayesian filtering methods (Kalman, EKF, particle, etc.) and their applications, basic feedback control systems for robot arms and mobile robots. Special emphasis will be given to implementation of the algorithms on robots in realistic simulation environments.
Course Methods and Techniques
Prerequisites and co-requisities ( EE3002 ) and ( MATH103 )
Course Coordinator None
Name of Lecturers Associate Prof.Dr. SAMET GÜLER gunyaz.ablay@agu.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources

Course Category
Engineering %100

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
In-Term Studies Quantity Percentage
Yarıyıl İçi Çalışmalarının Başarı Notunun Katkısı 1 % 20
Ödev 5 % 20
Proje/Çizim 1 % 40
Final examination 1 % 20
Total
8
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Araştırma Ödevi 14 2 28
Yazılı Sınav 2 20 40
Deney 5 7 35
Grup Projesi 3 5 15
Ev Ödevi 10 6 60
Medya İncelemesi 1 3 3
Sunum için Hazırlık 1 5 5
Sunum 1 1 1
Proje 1 30 30
Araştırma 1 2 2
Yüz Yüze Ders 14 6 84
Total Work Load   Number of ECTS Credits 10 303

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Demonstrate essential understanding of robot manipulator kinematics, dynamics, motion planning, and control
2 Analyze a given robot’s kinematics analytically and through simulations
3 Formulate the trajectory planning and motion control of robot manipulators
4 Analyze several path planning, control, and estimation techniques designed for autonomous mobile robots in unknown environments
5 Formulate a real-world problem for a mobile robot in terms of control, estimation, and navigation sub-tasks
6 Evaluate quantitatively the performance of estimation, control, and planning algorithm designs for mobile robots
7 Design and implement integrated navigation and perception algorithms on a set of mobile robots in realistic simulation environments such as MATLAB, Vrep, Gazebo, together with the Robotic System Toolbox (ROS)


Weekly Detailed Course Contents
Veri yok


Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
C1
C2
C3
C4
C5
C6
C7

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


https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=74602&lang=en