Robotics (in English)

• 26 hrs lectures
• 6 hrs laboratories
• 20 hrs projects

• 55 pts final exam (written part)
• 20 pts mid-term test (written part)
• 25 pts projects

The students acquire knowledge of current state and trends in robotics. Also, they acquire practical knowledge from construction and use of robots.

To inform students about current state and future of robotics. Also, to inform students about peculiarities of robotic systems and prepare them for introduction of robotic systems to industry.

1. History, evolution, and current trends in robotics. Introduction to robotics. Robotic applications. Robotic competitions.
2. Kinematics and statics. Direct and inverse task of kinematics.
3. Path planning in the cartesian coordinate system.
4. Effectors and power supply of robots. Using stereocamera for distance measurement.
5. Basic parameters of the mobile robots. Model and control of the wheel mobile robots.
6. Robotic middleware. Robot Operating System (ROS), philosophy of ROS, nodes and communication among them.
7. Maps - configuration space and 3D models.
8. Probability in robotics. Introduction. Bayesian filtering, Kalman and particle filters. Model of robot movements and measurement model.
9. Methods of the global and local localization. GPS based localization, Monte Carlo method.
10. Map building. Algorithms for simultaneous localization and mapping (SLAM).
11. Trajectory planning in known and unknown environment. Bug algorithm, potential fields, visibility graphs and probabilistic methods.
12. Introduction to control theory and regulation.
13. Multicopters, principle, control, properties, usage.

1. Lego Mindstorms
2. Basics of ROS, sensor reading
3. Advanced work in ROS

Project implemented on some of the robots from FIT.

1. Mid-term written test.
2. Evaluated project with a defence.