Robotics and Automation Systems
Mechatronics Engineering
Faculty of Engineering
First Cycle (Bachelor's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Robotics and Automation Systems | MKT401 | Compulsory | Bachelor's degree | 4 | Fall | 9 |
Name of Lecturer(s)
Prof. Dr. Zafer BİNGÜL
Learning Outcomes of the Course Unit
1) Developing remote-control switch applications using PLC programming.
2) Using sturcture of manipulator, forward-inverse kinematics and speed relation of manipulator.
3) Using robot simulation and programming.
4) Resolving Langrange-Euler and Newton-Euler equations for robots.
5) Developing the trajectory of robots.
6) Calculating Jacobian matrix.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | ||
| Learning Outcomes | ||||||||||||
| 1 | No relation | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | |
| 2 | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | |
| 3 | High | High | High | High | Middle | High | Middle | High | Middle | Middle | Middle | |
| 4 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | |
| 6 | Middle | Middle | Middle | Middle | Middle | Middle | Middle | Middle | High | High | High | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Linear Algebra
Course Contents
This course covers; mechanical and electrical systems, actuators and power transmision systems used in robotics, spatial mathematics, rotation and transformation matrix, angle systems, forward kinematics, Quaternions method, inverse kinematics, Jacobian, Trajectrory planing, workspace design, modelling of robot dynamic , Lagrange-Euler method, Newton-Euler method, PLC.
Weekly Schedule
1) Introduction to PLC2) Programming and applications with PLC:Load, Load not, And, Or, Andnot, Ornot, Set, Reset
3) Programming and applications with PLC:Timer Counter, Interrupt, mathematical computation
4) History and Applications of Robots
5) Manipulator Configurations and Spatial Descriptions and Transformations
6) Manipulator Forward Kinematics
7) Manipulator Inverse Kinematics
8) Midterm examination/Assessment
9) Manipulator Velocity Relations and Jacobian
10) Trajectory Generation
11) Robot Simulation and programming
12) Robot Workspace design
13) Collision Detection and Avoidance
14) Robot Dynamic Modelling using Lagrange-Euler equations
15) Robot Dynamic Modelling using Newton-Euler equations
16) Final examination
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Simulation
3) Lab / Workshop
4) Problem Solving
5) Project Based Learning
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
40% |
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Contribution of Final Examination to Course Grade |
60% |
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Total | 100% | |||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required