| Code | DSP714 |
| Name | Inteligent robot motion planning |
| Status | Compulsory/Courses of Limited Choice |
| Level and type | Post-graduate Studies, Academic |
| Field of study | Computer Science |
| Faculty | |
| Academic staff | Agris Ņikitenko |
| Credit points | 3.0 (4.5 ECTS) |
| Parts | 1 |
| Annotation |
The course provides theoretical knowledge on classic and modern planning methods as well as through individual practical assignments provides skills for application of the methods. . |
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Goals and objectives of the course in terms of competences and skills |
The course goal is to provide theoretical knowledge and practical skill for robot motion planning methods application practice. |
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Learning outcomes and assessment |
Is able to characterize planning problems for robotic systems - Separate questions in final test Is able to select particular methods for appropriate planning problems - Separate questions in final test Is able to apply discrete planning techniques - Separate questions in final test. Assessment of individual practical assignment. Is able to apply continuous planning techniques - Separate questions in final test. Assessment of individual practical assignment. Is able to describe configuration spaces and differential constraints essentials in planning context - Separate questions in final test |
| Course prerequisites | Mathematics |