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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
PhD in Electrical Engineering
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GRADUATE INSTITUTE of NATURAL and APPLIED SCIENCES / DEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING / PhD in Electrical Engineering
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ELKI7160Mechatronics and Robots3+0+0ECTS:7.5
Year / SemesterFall Semester
Level of CourseThird Cycle
Status Elective
DepartmentDEPARTMENT of ELECTRICAL and ELECTRONICS ENGINEERING
Prerequisites and co-requisitesNone
Mode of Delivery
Contact Hours14 weeks - 3 hours of lectures per week
LecturerDr. Öğr. Üyesi Emrah BENLİ
Co-Lecturer
Language of instruction
Professional practise ( internship ) None
 
The aim of the course:
Analysis of robot manipulator systems. Emphasis is on kinematics of rigid-link, multi-joint and continuum (snakelike) robots. Analysis of cutting edge technology in robotics.
 
Programme OutcomesCTPOTOA
Upon successful completion of the course, the students will be able to :
PO - 1 : Have sufficient knowledge on the history of robotics technology with the definitions and key concepts.1 - 3 - 7 - 81,
PO - 2 : Have sufficient information for analysis on Forward Kinematics: Homogeneous Transformations and The Denavit-Hartenberg Algorithm.1 - 3 - 41,
PO - 3 : Have sufficient information for analysis on Inverse Kinematics: Geometric Techniques and Analytical Techniques.1 - 3 - 41,
PO - 4 : Have sufficient knowledge on Velocity Kinematics: Manipulator Jacobian, Application to inverse kinematics/singularity analysis, Jacobian computation, Statics.1 - 3 - 41,
PO - 5 : Have sufficient knowledge on Dynamics and Control, Kinetic, Potential energy.Understand Lagrangian manipulator dynamic models, Inverse Dynamics controllers and Industrial set point PD control. 1 - 2 - 3 - 51,
PO - 6 : Understand the Multi-joint and continuum (snakelike) robot kinematics. Analyze the cutting edge robot technology.2 - 5 - 7 - 81,
PO - 7 : Simulate Forward and Inverse kinematics applications via Matlab environment and practice team work. 6 - 73,5,6,
CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome

 
Contents of the Course
Introduction to the robotics technology. Analysis of kinematics: forward, inverse, and velocity (Jacobian). Analysis of Dynamics (Lagrangian) and Control (Conventional and Inverse Dynamics). Learning multi-joint and continuum (snakelike) robot kinematics. Simulation of the robot manipulators Analysis of cutting edge robot technology and recent studies.
 
Course Syllabus
 WeekSubjectRelated Notes / Files
 Week 1Brief history of robots
 Week 2Common robot structural designs
 Week 3Forward Kinematics
 Week 4Forward Kinematics
 Week 5Inverse Kinematics
 Week 6Inverse Kinematics
 Week 7Velocity Kinematics
 Week 8Velocity Kinematics
 Week 9Mid-term exam
 Week 10Dynamics and Control
 Week 11Multi-joint and continuum (snakelike) robot kinematics
 Week 12Multi-joint and continuum (snakelike) robot kinematics
 Week 13Simulation of the robot manipulators
 Week 14Analysis of cutting edge robot technology and recent studies
 Week 15Analysis of cutting edge robot technology and recent studies
 Week 16End-of-term exam
 
Textbook / Material
1Sunum ve ders notları
2M. Spong, S. Hutchinson, and M. Vidyasagar, Robot Modeling and Control, Wiley
 
Recommended Reading
 
Method of Assessment
Type of assessmentWeek NoDate

Duration (hours)Weight (%)
Mid-term exam 9 2 10
Project 14 10 30
Presentation 12 2 10
End-of-term exam 16 2 50
 
Student Work Load and its Distribution
Type of workDuration (hours pw)

No of weeks / Number of activity

Hours in total per term
Yüz yüze eğitim 3 14 42
Sınıf dışı çalışma 5 14 70
Arasınav için hazırlık 2 7 14
Arasınav 4 6 24
Ödev 4 5 20
Proje 2 10 20
Dönem sonu sınavı için hazırlık 1 5 5
Dönem sonu sınavı 2 1 2
Total work load197