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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Advanced Robotic and Automation Systems EOS608 Elective Doctorate degree 1 Spring 8

Name of Lecturer(s)

Prof. Dr. Özcan GÜNDOĞDU
Prof. Dr. Ersin KAYAHAN
Associate Prof. Dr. Erhan AKMAN
Associate Prof. Dr. Belgin GENÇ ÖZTOPRAK
Assistant Prof. Dr. İsmet TIKIZ

Learning Outcomes of the Course Unit

1) Recognize the mechanical and electrical systems used in robots.
2) Classify propulsion and power transmission systems.
3) Question about rotation and transformation matrices, angle systems, forward kinematics, D-H method, Quathonium method, inverse kinematics, Jacobian.
4) Do robot dynamic modeling.
5) Apply Lagrange-Euler method.

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11 12
Learning Outcomes
1 Middle Middle High High High Middle Middle Middle Middle Middle High High
2 High Middle Middle High High Middle Middle High High Middle High Middle
3 Low Middle High High Middle High Middle Low High High High High
4 Middle Middle High High High High High High Middle Middle Middle Middle
5 Middle High Middle High High High Low Low Low High High High

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Photonics, Optical Materials, Optical Design, Electro-Optical Materials and Systems, Geometric Optics, Waveguide Optics, Sensors and Applications, Image Processing, Electromagnetic Wave Propagation and Scattering, Satellite Communication Systems, Nano-Biophotonic, Engineering Mathematics, Advanced Laser Applications, Electro-Optical Systems Laboratory

Course Contents

In laser applications; Mechanical and electrical systems used in robots, drive and power transmission systems, three-dimensional space mathematics, rotation and transformation matrices, angle systems, advanced kinematics, DH method, Quathonium method, inverse kinematics, Jacobian, orbital planning, working space design, robot dynamic modeling, Lagrange-Euler method, Newton-Euler method, PLC, assembly of fibers subjects are included.

Weekly Schedule

1) Mechanical and electrical systems used in robots
2) Propulsion and power transmission systems
3) Three-dimensional space mathematics
4) Rotation and transformation matrices
5) Angle systems
6) Advanced kinematics
7) D-H method
8) Midterm
9) Quuartonium method
10) Inverse kinematics
11) Jakobien
12) Orbit planning, working space design
13) Robot dynamic modeling, Lagrange-Euler method
14) Newton-Euler method, PLC
15) Mounting of fibers
16) Final exam

Recommended or Required Reading

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Group Study
6) Self Study


Assessment Methods and Criteria

Contribution of Semester Studies to Course Grade

60%

 

Number

Percentage

Semester Studies

Midterm Examination

1

60%

Quiz

1

40%

 

Contribution of Final Examination to Course Grade

40%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required