Robotics
People
Description
COURSE OBJECTIVES
Provide a broad, general overview of the fundamental problems, and of their standard solution, in autonomous mobile robotics and arm robotics.
COURSE DESCRIPTION
The course covers the following topics: - 2D and 3D pose representation and transformations - Workspace, C-Space, Degrees of Freedom - Kinematics for arms and wheeled robots - Feedback-based control - Sensors - Localization, Mapping, SLAM - Path planning Lab sessions will provide basic working knowledge of the ROS software framework (adopted by most research and industry labs worldwide) and whenever possible, hands-on experience with real robots.
LEARNING METHODS
Lectures, Live coding and demonstrations, Projects, Assignments
EXAMINATION INFORMATION
- 3 graded homework assignments on lab topics
- Final exam (and if possible midterm) on theory topics
Education
- Master of Science in Artificial Intelligence, Core course, Lecture, 1st year
- Master of Science in Informatics, Elective course, Lecture, 1st year
- Master of Science in Informatics, Elective course, Lecture, 2nd year
- Master of Science in Management and Informatics, Elective course, Lecture, 1st year
- Master of Science in Management and Informatics, Elective course, Lecture, 2nd year
