| 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. . |
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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. |
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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. |