Subject description - A0M33PAR

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A0M33PAR Practical Robotics
Roles:V Extent of teaching:1P+3L
Department:13133 Language of teaching:CS
Guarantors:Přeučil L. Completion:KZ
Lecturers:Přeučil L. Credits:4
Tutors:Kozák V., Kulich M., Přeučil L. Semester:Z


Course aim is to mediate practical skills in robot control in a complex task (containing robot architecture design, sensor data processing, navigation, map building, planning, and intelligent decision making) to students. Emphasis is placed on practical laboratories, where students solve a non-trivial task (treasure hunt) on a real mobile robot hardware. Time to implementation and experiments is dedicated in order to clear why basic algorithms don't always work and why to use more sophisticated methods. The course is a suitable complement to A3M33IRO.

Study targets:

The aim of the course is to mediate a practical skills in the area of robot navigation in a non-trivial task, from design of robot architecture, sensor data processing and model building to planning and intelligent decision making.

Course outlines:

1. Task formulation and analysis, application architecture
2. Navigation and robot control in a given task
3. Sensor data processing, map building for a given task
4. Planning for a given task
5. Localization for a given task
6. Strategic planning for a given task
7. Reports

Exercises outline:

1. Introduction to laboratory equipment, organisation
2. Laboratory work - architecture of a given application
3. Laboratory work - navigation and robot control
4. Checking day
5. Laboratory work - sensor data processing
6. Laboratory work - map building
7. Laboratory work - planning
8. Laboratory work - planning, checking day
9. Laboratory work - localization
10. Laboratory work - localization
11. Laboratory work - strategic planning
12. Laboratory work - strategic planning
13. Presentations, contest


1. R. Siegwart and I. R. Nourbakhsh: Introduction to autonomous mobile robots, MIT Press, 2004, ISBN 0-262-19502-X


More information:



autonomous mobile robots, sensor processing, robot navigation

Subject is included into these academic programs:

Program Branch Role Recommended semester
MPKYR4 Aerospace Systems V
MPKYR1 Robotics V
MPKYR3 Systems and Control V
MPKYR2 Sensors and Instrumentation V

Page updated 10.7.2020 14:51:54, semester: Z,L/2020-1, L/2019-20, Send comments about the content to the Administrators of the Academic Programs Proposal and Realization: I. Halaška (K336), J. Novák (K336)