|Name||Inteligent robot motion planning|
|Status||Compulsory/Courses of Limited Choice|
|Level and type||Post-graduate Studies, Academic|
|Field of study||Computer Science|
|Academic staff||Agris Ņikitenko|
|Credit points||3.0 (4.5 ECTS)|
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. .
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.|
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