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Robotics

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

People

 

Giusti A.

Course director

Additional information

Semester
Spring
Academic year
2020-2021
ECTS
6
Language
English
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