Course Information

Course Name	Turkish	Robot Otonomisinin İlkeleri
	English	Principles of Robot Autonomy
Course Code	KON 414E	Credit	Lecture (hour/week)	Recitation (hour/week)	Laboratory (hour/week)
Semester	7	3	3	-	-
Course Language		English
Course Coordinator		Hakan Temeltaş
Course Objectives		1. Gain a fundamental knowledge of the “autonomy stack” behind self-driving cars, drones, and mobile autonomous robots in general; 2. Be able to apply such knowledge in applications and research work by using ROS; 3. Devise novel methods and algorithms for robot autonomy.
Course Description		This course will cover basic principles for endowing mobile autonomous robots with perception, planning, and decision-making capabilities. The course contains of algorithmic approaches for robot perception, localization, and simultaneous localization and mapping, control of non-linear systems, learning-based control, and robot motion planning; introduction to methodologies for reasoning under uncertainty, e.g., (partially observable) Markov decision processes. During the course, Robot Operating System (ROS) will extensively be used for demonstrations and hands-on activities.
Course Outcomes		Students completing this course gain the skills of; 1. Understand the importance autonomy and autonomous function of robots, 2. Develop trajectory optimization and path planning techniques for autonomous robots, 3. Understand sensor and sensor data processing technologies for autonomous systems 4. Develop sensor-based navigation methods for autonomous robots, 5. Use software tools to analyze and designfor autonomous robotics systems
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