| Code | DSP715 |
| Name | Autonomous systems and robots |
| Status | Compulsory/Courses of Limited Choice |
| Level and type | Post-graduate Studies, Academic |
| Field of study | Computer Science |
| Faculty | |
| Academic staff | Agris Ņikitenko, Ilze Andersone |
| Credit points | 3.0 (4.5 ECTS) |
| Parts | 1 |
| Annotation |
The course provides knowledge about autonomous systems and robots. The course consists of lectures and five practical tasks that enable to apply the most essential methods for autonomous robot control. . |
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Goals and objectives of the course in terms of competences and skills |
The main goal is to provide theoretical knowledge about autonomous systems and robots, and provide means for development of practical skills about autonomous robot control. |
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Learning outcomes and assessment |
Is able to recognize and describe autonomous systems - Corresponding exam questions Is able to describe the sensors of autonomous systems and their applications - Corresponding exam questions Is able to describe and apply the main mapping approaches and path planning algorithms - Corresponding exam questions and practical tasks Is able to describe and apply decision making methods in autonomous systems - Corresponding exam questions and practical task Is able to describe and apply the main robot team mapping approaches - Corresponding exam questions and practical task |
| Course prerequisites | Mathematics |