| Code | DSP711 | |||||||||||||||||||||||||||||||||||||||||||||||||
| Name | Basics of autonomous and mobile robotic systems | |||||||||||||||||||||||||||||||||||||||||||||||||
| Status | Compulsory/Courses of Limited Choice | |||||||||||||||||||||||||||||||||||||||||||||||||
| Level and type | Undergraduate Studies, Academic | |||||||||||||||||||||||||||||||||||||||||||||||||
| Field of study | Computer Science | |||||||||||||||||||||||||||||||||||||||||||||||||
| Faculty | ||||||||||||||||||||||||||||||||||||||||||||||||||
| Academic staff | Agris Ņikitenko | |||||||||||||||||||||||||||||||||||||||||||||||||
| Credit points | 2.0 (3.0 ECTS) | |||||||||||||||||||||||||||||||||||||||||||||||||
| Parts | 1 | |||||||||||||||||||||||||||||||||||||||||||||||||
| Annotation |
The study course provides basic knowledge about autonomous robotic systems. The study course consists of lectures and three practical homework that enable to apply the most essential methods for mobile 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 and mobile equipped systems, as well as to develop student's ability to practically use the basic robotics required for the control of mobile robotic platforms. The tasks of the study course are: - To provide knowledge about autonomous systems and autonomy in general; - To provide knowledge and skills in mathematical modelling of robotic systems; - To provide knowledge and skills in modelling and use of robot sensor systems - To provide knowledge and skills on the use of robotic motion planning methods. | |||||||||||||||||||||||||||||||||||||||||||||||||
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Learning outcomes and assessment |
Is able to distinguish autonomous and mobile systems. - Practical work. Is able to describe the basic kinematic models of mobile platforms and their constraints. Can apply them for practical use. - Practical homework. Is able to describe basic methods for perception processing in mobile robotic platforms. - Practical work. Is able to describe and apply basic methods of selflocalization. - Practical homework. Is able to describe and apply basic methods of motion planning. - Practical homework. |
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| Evaluation criteria of study results |
Practical work on kinematics - 30%
Practical work on self-localization - 30% Practical work on mapping - 40% |
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| Course prerequisites | Mathematics, Physics. | |||||||||||||||||||||||||||||||||||||||||||||||||
| Course planning |
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