Course detail

Robotics and Computer Vision

FEKT-BPA-PRPAcad. year: 2023/2024

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.

Language of instruction


Number of ECTS credits


Mode of study

Not applicable.

Entry knowledge

Not applicable.

Rules for evaluation and completion of the course

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)


The goal of the course is lightweight introduction into applied robotics, automation and computer vision

Study aids

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

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)

Recommended reading

Not applicable.

Classification of course in study plans

  • Programme BPA-ELE Bachelor's

    specialization BPA-ECT , 3. year of study, summer semester, compulsory-optional
    specialization BPA-PSA , 3. year of study, summer semester, compulsory

Type of course unit



26 hours, optionally

Teacher / Lecturer


1. Robotics
2.-5. Stationary robotics (theory and applications)
6.-9. Mobile robotics (theory and applications)
10.-13. Computer vision (theory and applications)

Laboratory exercise

26 hours, optionally

Teacher / Lecturer


1. Introduction in the labs
2.-13. Individual work