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 | Ilze Andersone | ||||||||||||||||||||||||||||||||||||||||||||
Credit points | 3.0 (4.5 ECTS) | ||||||||||||||||||||||||||||||||||||||||||||
Parts | 1 | ||||||||||||||||||||||||||||||||||||||||||||
Annotation |
The study course provides knowledge about autonomous systems and robots. The study course consists of lectures and five practical tasks that enable the application of the most essential methods for autonomous robot control.. |
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Contents |
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Goals and objectives of the course in terms of competences and skills |
The aim of the study course is to provide theoretical knowledge about autonomous systems and robots, practical use of their mathematical models, as well as to provide practical skills in the development of autonomous robot control algorithms. The tasks of the study course are to provide knowledge and skills: - to develop and apply mathematical models of robot dynamics; - to use robot models and control functions in navigation tasks; - to use multi-robot control methods and algorithms; - to use card merging techniques to create a global map. | ||||||||||||||||||||||||||||||||||||||||||||
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, practical tasks. Is able to describe and apply decision making methods in autonomous systems. - Corresponding exam questions, practical task. Is able to describe and apply the main robot team mapping approaches. - Corresponding exam questions, practical task. |
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Evaluation criteria of study results |
Practical work - 75%
Exam - 25% |
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Course prerequisites | Mathematics | ||||||||||||||||||||||||||||||||||||||||||||
Course planning |
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