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Autonomous Systems: Fundamentals and Applications or CENG340

Output:
The objective of this course is to prepare students for the exciting and rapidly developing field of coordination, navigation, and control of autonomous systems. The focus is on the use of software, platforms, and tools required for (semi-)autonomous systems. To work in this area, students will be familiarized with a wide range of topics, including but not limited to robot kinematics, dynamics, state estimation, path planning, and computer vision. The aim of this course is to cover these essential topics, focusing on their application to robots in general and Unmanned Aerial Vehicles (UAVs) in special. The course will be supplemented by a series of lab tasks that will help students simulate different use cases, where they will implement and configure algorithms in a simulation environment on UAVs with the help of Python, MATLAB, and other software tools. Ultimately, students will apply the knowledge they have gained during the course to design and construct an autonomous system.