| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Swarm Robotics | BLM615 | Elective | Doctorate degree | 1 | Fall | 8 |
Name of Lecturer(s)
Assistant Prof. Dr. Levent BAYINDIR
Assistant Prof. Dr. Alpaslan Burak İNNER
Learning Outcomes of the Course Unit
1) Obtain the basic principles of autonomous robots
2) Implement for locomotion and kinematic systems of autonomous robots
3) Implement mapping and localization of autonomous robots
4) Implement and experiment Path planning of autonomous robots
5) Simulate single and multiple autonomous robots in simulation environments
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | Middle | No relation | Middle | Low | Low | Low | No relation | Low | No relation | No relation | Low | No relation | |
| 2 | High | High | Middle | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | High | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | Middle | High | High | No relation | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | Low | Middle | High | No relation | High | High | No relation | No relation | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Introduction, Locomotion Concepts, Installation of Ros and Gazebo Simulator, Programming ROS with MATLAB/Python/C++, Programming ROS with MATLAB/Python/C++, Kinematics of Autonomous Mobile Robots, Sensors and Perception, Sensors and Filters, Localization, Mapping, SLAM Algorithms, Path Planning, Implementation of Path Planning Algorithms, Offline Planning, Programming and Simulation of Intelligent Robotic Systems, Distributed Robotic Systems
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
70% |
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Contribution of Final Examination to Course Grade |
30% |
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Total | 100% | ||||||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required