| Course Type | Elective Course |
|---|
| Course Level | Master's Degree With Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
- |
| Learning Outcomes |
At the end of this course, the students;
- Learn the using of mathematical expressions on mobile robots.
- Learn the choosing sensors and last control units for mobile robots.
- Will be able to develop algorithms and formulate for mobile robot problems, i.e. position detection, mapping, path planning.
- Will be able to do the applications of smart systems on mobile robots.
- Learn the use of robots in solutions of real life problems.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | Mobile robot architectures, mobile robot kinematics, mobile robot perception (sensors), Control of mobile robots, Localization, Map building, and path planning in mobile robots, Simultaneous Localization and Map Building, Artificial intelligent robots, Behavior based robotics, Target tracking, obstacle detection, |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction to mobile robots |
|
2nd Week |
Historical development of mobile robots |
|
3rd Week |
Matrix and vector applications on mobile robots |
|
4th Week |
The forward and inverse kinematics in robots |
|
5th Week |
Dynamical modelling on mobile robots |
|
6th Week |
Dynamical modelling on mobile robots |
|
7th Week |
Sensors and last control units |
|
8th Week |
Midterm Exam |
|
9th Week |
Position detection on mobile robots |
|
10th Week |
Position detection on mobile robots |
|
11th Week |
Mapping on mobile robots |
|
12th Week |
Mapping on mobile robots |
|
13th Week |
Target tracking |
|
14th Week |
Target tracking |
|
| Recommended or Required Reading | 1. Introduction to Robotics: Analysis, Systems, Applications, Saeed B. Niku, Prentice Hall 2002
2. Introduction to Robotics: Hohn. J.Craig third edition 2005 |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Questions/Answers
- Presentation
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
30 |
| Assignment |
1 |
15 |
| Project |
1 |
25 |
| Total(%) |
|
70 |
| Contribution of In-term Studies to Overall Grade(%) |
|
70 |
| Contribution of Final Examination to Overall Grade(%) |
|
30 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
3 |
3 |
| Preparation for Quiz |
0 |
0 |
0 |
| Individual or group work |
14 |
8 |
112 |
| Preparation for Final exam |
1 |
40 |
40 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
30 |
30 |
| Laboratory (including preparation) |
0 |
0 |
0 |
| Final exam |
1 |
3 |
3 |
| Homework |
2 |
35 |
70 |
| Total Work Load | 300 |
| Total Work Load / 30 (h) | 10 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
