Mechatronics Engineering
Course Details
KTO KARATAY UNIVERSITY
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Mechatronics Engineering
Course Details
Mühendislik ve Doğa Bilimleri Fakültesi
Programme of Mechatronics Engineering
Course Details
| Course Code | Course Name | Year | Period | Semester | T+A+L | Credit | ECTS |
|---|---|---|---|---|---|---|---|
| 05581006 | Mobile Robots | 4 | Spring | 8 | 3+0+0 | 5 | 5 |
| Course Type | Elective |
| Course Cycle | Bachelor's (First Cycle) (TQF-HE: Level 6 / QF-EHEA: Level 1 / EQF-LLL: Level 6) |
| Course Language | Turkish |
| Methods and Techniques | Lecture, Project |
| Mode of Delivery | Face to Face |
| Prerequisites | There is no prerequisite for the course |
| Coordinator | - |
| Instructor(s) | - |
| Instructor Assistant(s) | - |
Course Content
The content of the course is selected from robotic manipulators, mobile robots, land vehicles, rotary wing helicopters, fixed wing aircraft, surface vehicles, underwater vehicles. Inference of nonlinear models using Newton-Euler and Lagrange methods, inertial measurement systems, state variable estimation with Kalman filter, linear and nonlinear control techniques are applied to autonomous vehicles. Students are expected to prepare and present their term projects with technical documentation software. Students are encouraged to use Matlab/Simulink software effectively and to work in virtual reality environments in their projects.
Objectives of the Course
This course aims to examine current trends and developments in modeling, simulation and control of autonomous robots.
Contribution of the Course to Field Teaching
| Basic Vocational Courses | |
| Specialization / Field Courses | X |
| Support Courses | |
| Transferable Skills Courses | |
| Humanities, Communication and Management Skills Courses |
Relationships between Course Learning Outcomes and Program Outcomes
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Program Learning Outcomes | Level |
|---|---|---|
| P4 | Ability to select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in Mechatronics Engineering applications; Ability to use information technologies effectively | 5 |
Course Learning Outcomes
| Upon the successful completion of this course, students will be able to: | |||
|---|---|---|---|
| No | Learning Outcomes | Outcome Relationship | Measurement Method ** |
| O1 | Ability to obtain mathematical models of autonomous robots | P.4.23 | 1 |
| O2 | Ability to design control systems for autonomous robots | P.4.24 | 1,7 |
| O3 | Ability to simulate autonomous robot control systems in simulation environments | P.4.25 | 7 |
| ** Written Exam: 1, Oral Exam: 2, Homework: 3, Lab./Exam: 4, Seminar/Presentation: 5, Term Paper: 6, Application: 7 | |||
Weekly Detailed Course Contents
| Week | Topics |
|---|---|
| 1 | In-class leaflets |
| 2 | Stability analysis |
| 3 | Kinematics and Dynamics of Robots |
| 4 | Artificial intelligence control architectures |
| 5 | Control of robots with artificial intelligence |
| 6 | Kinematics and dynamics of land vehicles |
| 7 | Autonomous control of land vehicles |
| 8 | Rotary vane vehicle modeling |
| 9 | Midterm Exam 1 |
| 10 | Autonomous control of rotary wing aircraft |
| 11 | Kinematics and dynamics of fixed-wing aircraft |
| 12 | Autonomous control of fixed-wing aircraft |
| 13 | Kalman filter |
| 14 | INS and GPS integration |
| 15 | Final |
Textbook or Material
| Resources | George A. Bekey, Autonomous Robots: From Biological Inspiration to Implementation and Control, The MIT Press, 2005. |
| George A. Bekey, Autonomous Robots: From Biological Inspiration to Implementation and Control, The MIT Press, 2005. |
Evaluation Method and Passing Criteria
| In-Term Studies | Quantity | Percentage |
|---|---|---|
| Attendance | - | - |
| Laboratory | - | - |
| Practice | - | - |
| Course Specific Internship (If Any) | - | - |
| Homework | 5 | 10 (%) |
| Presentation | - | - |
| Projects | 1 | 25 (%) |
| Quiz | - | - |
| Midterms | 1 | 25 (%) |
| Final Exam | 1 | 40 (%) |
| Total | 100 (%) | |
ECTS / Working Load Table
| Quantity | Duration | Total Work Load | |
|---|---|---|---|
| Course Week Number and Time | 13 | 3 | 39 |
| Out-of-Class Study Time (Pre-study, Library, Reinforcement) | 13 | 2 | 26 |
| Midterms | 1 | 10 | 10 |
| Quiz | 0 | 0 | 0 |
| Homework | 4 | 10 | 40 |
| Practice | 0 | 0 | 0 |
| Laboratory | 0 | 0 | 0 |
| Project | 1 | 30 | 30 |
| Workshop | 0 | 0 | 0 |
| Presentation/Seminar Preparation | 0 | 0 | 0 |
| Fieldwork | 0 | 0 | 0 |
| Final Exam | 1 | 15 | 15 |
| Other | 0 | 0 | 0 |
| Total Work Load: | 160 | ||
| Total Work Load / 30 | 5,33 | ||
| Course ECTS Credits: | 5 | ||
Course - Learning Outcomes Matrix
| Relationship Levels | ||||
| Lowest | Low | Medium | High | Highest |
| 1 | 2 | 3 | 4 | 5 |
| # | Learning Outcomes | P4 |
|---|---|---|
| O1 | Ability to obtain mathematical models of autonomous robots | 5 |
| O2 | Ability to design control systems for autonomous robots | 5 |
| O3 | Ability to simulate autonomous robot control systems in simulation environments | 5 |