Lecture
Credit terms
-
End-term test – 50% to pass
-
Short tests at the end of lectures
-
Grades:
- 3.0: 50% – 59%
- 3.5: 60% – 69%
- 4.0: 70% – 79%
- 4.5: 80% – 89%
- 5.0: >= 90%
Lectures
- Introduction
- Introduction to ROS 2
- ROS 2: Mechanisms, Tools
- Simulation, Optimization, and Mathematical Libraries
Laboratory
Exercises
- L1: Introduction
- L2-L3: Introduction to ROS 2
- L4-L5 – Robot monitoring system in ROS 2
- L6: BotBox – robot navigation
- L7-L8 – Simulation of the mobile robot in ROS 2
Credit terms
- Obligatory presence, one absence is allowed
- Preparation to classes
- Pass laboratory exercises (one of them can be skipped)