Practical Robotics

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Cybernetics

Synopsis:

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.

Requirements:

More information:

https://cw.felk.cvut.cz/doku.php/courses/a0m33par/start

Syllabus of lectures:

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

Syllabus of tutorials:

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

Study Objective:

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.

Study materials:

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

Note:

Further information:

https://cw.fel.cvut.cz/wiki/courses/A0M33PAR

No time-table has been prepared for this course

The course is a part of the following study plans:

• Aerospace Engineering (compulsory elective course)