EEI358 Intelligent Electronic Equipment in Robotic Systems

Code EEI358
Name Intelligent Electronic Equipment in Robotic Systems
Status Compulsory/Courses of Limited Choice
Level and type Undergraduate Studies, Academic
Field of study Power and Electrical Engineering
Faculty
Academic staff Leonīds Ribickis, Ingars Steiks
Credit points 3.0 (4.5 ECTS)
Parts 1
Annotation Industrial electronic devices with self-educated and fuzzy logic control equipment on the basis of standard processors and special microchips. Artificial neural networks in motion control in the robotic control systems. Generic algorithms and artificial intelligent in the control of robots. .
Goals and objectives
of the course in terms
of competences and skills
The aim of the subject is to study basics of artificial intelligent in robotic systems applying fuzzy logic controllers, artificial neural networks and genetic algorithms.
Learning outcomes
and assessment
The students understand the essence of fuzzy logic theory and can design fuzzy logic controllers. - Assessment with practical realization in the laboratory. Passed an exam
The students understand the essence of artificial neural networks and can apply control systems of artificial neural networks robots. - Test. Passed an exam
The students are able to understand control navigation programs of mobile robots and to apply robots modeling systems. - Test. Passed an exam
The students can develop generic algorithms in robot control systems and realize its programing for further realization. - Test. Passed an exam
Course prerequisites Electronics, electric drive, computer science.

[Extended course information PDF]