Robotics and Computer Vision
FEKT-BPA-PRPAcad. year: 2020/2021
Students will work in teams in specialized laboratory of Robotics. They can try to build mobile robot from scratch, designing their own mechanics, connecting electronic modules together, and developing software to make mobile robot working. Custom projects are allowed.
Learning outcomes of the course unit
Recommended optional programme components
Students can freely attend to our labs to work on their project.
Recommended or required reading
WISE, Edwin. Applied robotics. Indianapolis, IN: Prompt Publications, c1999. ISBN 978-0790611846. (EN)
SPONG, Mark W, Seth HUTCHINSON a M. VIDYASAGAR. Robot modeling and control. Hoboken, NJ: John Wiley, c2006. ISBN 978-0471649908. (EN)
Szeliski R.: Computer Vision: Algorithms and Application, Springer, Berlin, 2010. 812 p. (EN)
KELLY, Alonzo. Mobile robotics: mathematics, models and methods. New York, NY, USA: Cambridge University Press, 2013. ISBN 978-1107031159. (EN)
ASADA, H. a J.-J. E SLOTINE. Robot analysis and control. New York, N.Y.: J. Wiley, c1986. ISBN 978-0471830290. (EN)
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Students, working in teams of 4-5 students builds mobile robot during semester. The robot will be examined during final exam by examining documentation, and presentation, and competition.
35pts written exam (documentation of the robot)
15pts spoken exam (presentation)
50pts project (final competition)
Language of instruction
2.-5. Stationary robotics (theory and applications)
6.-9. Mobile robotics (theory and applications)
10.-13. Computer vision (theory and applications)
The goal of the course is lightweight introduction into applied robotics, automation and computer vision