Information Package / Course Catalogue
| Course Code | : RYZ108 |
| Course Type | : Area Elective |
| Couse Group | : Short Cycle (Associate's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 3 |
The aim of this course is to teach the theory of autonomous mobile robots, to provide practical work on autonomous mobile robot construction, to introduce the subsystems and components of autonomous robots, to teach movement techniques, to explain the working principles and components of drive and motion transmission systems, to teach the mathematical theory of trajectory planning, to explain the applications related to trajectory planning, to explain control strategies for mobile robots, to explain new technologies and application areas in mobile and autonomous robots, to enable students to put their theoretical knowledge into practice by designing mobile robots.
The Autonomous Systems course is designed as a robotics course. The main subject of the course is autonomous mobile robots. These include concepts such as wheeled, limbed, humanoid, marine and aerial robots, sensing methods and hardware, visual and non-visual and control, single robots and multi-robot systems, trajectory planning and applications, localization, navigation, mapping and robotic learning.
| Ins. Merve MUTİ İSTEK |
| 1. | Recognize autonomous systems. |
| 2. | Knows the basic components of the autonomous system. |
| 3. | Be able to recognize autonomous system applications and have preliminary knowledge about advanced applications. |
| 4. | Recognize the mechanical and electrical components of autonomous systems. |
| 5. | Knows professional software and simulation applications. |
| 1. | G. Dudek, M. Jenkin, “Computational Principles of Mobile Robots”, Cambridge, 2000, ISBN: 978-521-56876-0. |
| 2. | G. A. Bekey, “Autonomous Robots: From Biologically Inspiration to Implementation and Control”,MIT, 2005, ISBN: 0-262-02578-7. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Midterm Examination | 1 | %40 |
| Final Examination | 1 | %60 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 0 | 3 | 42 |
| Assignment | 3 | 0 | 2 | 6 |
| Individual Work | 14 | 0 | 2 | 28 |
| Midterm Examination | 1 | 0 | 1 | 1 |
| Final Examination | 1 | 0 | 1 | 1 |
| TOTAL WORKLOAD (hours) | 78 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | PÇ-6 | PÇ-7 | PÇ-8 | PÇ-9 | PÇ-10 | PÇ-11 | PÇ-12 | PÇ-13 | PÇ-14 | PÇ-15 | |
OÇ-1 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
OÇ-2 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
OÇ-3 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
OÇ-4 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
OÇ-5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |