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Robot control

General data

Course ID:	1000-317bRC
Erasmus code / ISCED:	11.3 Kod klasyfikacyjny przedmiotu składa się z trzech do pięciu cyfr, przy czym trzy pierwsze oznaczają klasyfikację dziedziny wg. Listy kodów dziedzin obowiązującej w programie Socrates/Erasmus, czwarta (dotąd na ogół 0) – ewentualne uszczegółowienie informacji o dyscyplinie, piąta – stopień zaawansowania przedmiotu ustalony na podstawie roku studiów, dla którego przedmiot jest przeznaczony. / (0612) Database and network design and administration The ISCED (International Standard Classification of Education) code has been designed by UNESCO.
Course title:	Robot control
Name in Polish:	Sterowanie robotami
Organizational unit:	Faculty of Mathematics, Informatics, and Mechanics
Course groups:	Elective courses for Computer Science Obligatory courses for 1st year Machine Learning
ECTS credit allocation (and other scores):	6.00 Basic information on ECTS credits allocation principles: the annual hourly workload of the student’s work required to achieve the expected learning outcomes for a given stage is 1500-1800h, corresponding to 60 ECTS; the student’s weekly hourly workload is 45 h; 1 ECTS point corresponds to 25-30 hours of student work needed to achieve the assumed learning outcomes; weekly student workload necessary to achieve the assumed learning outcomes allows to obtain 1.5 ECTS; work required to pass the course, which has been assigned 3 ECTS, constitutes 10% of the semester student load. view allocation of credits
Language:	English
Type of course:	elective monographs
Short description:	The aim of the course is to familiarize students with the practical knowledge needed to operate in the field of robotics. Three sections will be presented during the course: * machine vision from the point of view of robotics, * elements of control theory, * basics of robotics.
Full description:	I. Computer Vision * Introduction to cameras. * 2D <> 3D relationship, stereovision. * SLAM. * NeRF. II. Introduction to robotics: * robot motors and sensors, * forward and inverse kinematics, * Jacobian and linear moves, * planning (A, RRT). III. Elements of control theory: linearization of dynamical systems, * LQR, * Kalman filter.
Bibliography:	Frank C. Park and Kevin M. Lynch, Modern Robotics: Mechanics, Planning, and Control Peter Corke, Robotics, Vision and Control
Learning outcomes:	Knowledge: the student * has based in theory and well organized knowledge of problems of robot control, in particular of motion kinematics, movement planning and orientation in space [K_W11], Abilities: the student is able to * apply techniques of programmed robot control [K_U14]. Social competences: the student is ready to * critically evaluate acquired knowledge and information [K_K01]; * recognize the significance of knowledge in solving cognitive and practical problems and the importance of consulting experts when difficulties arise in finding a self-devised solution [K_K02]; * think and act in an entrepreneurial way [K_K03].
Assessment methods and assessment criteria:	Final grade is based upon the credit programming project, homeworks (computer programs) and exam in laboratory.

Classes in period "Winter semester 2023/24" (past)

Time span:	2023-10-01 - 2024-01-28	Selected timetable range: weekly course term Navigate to timetable MO TU LAB W LAB WYK TH LAB LAB FR
Type of class:	Lab, 30 hours more information Lecture, 30 hours more information
Coordinators:	Krzysztof Ciebiera, Marek Cygan
Group instructors:	Krzysztof Ciebiera, Marek Cygan, Rafał Michaluk, Mateusz Wyszyński
Students list:	(inaccessible to you)
Examination:	Examination

Classes in period "Winter semester 2024/25" (future)

Time span:	2024-10-01 - 2025-01-26	Selected timetable range: weekly course term Navigate to timetable
Type of class:	Lab, 30 hours more information Lecture, 30 hours more information
Coordinators:	Marek Cygan
Group instructors:	Krzysztof Ciebiera, Marek Cygan, Longlai Qiu, Mateusz Wyszyński
Students list:	(inaccessible to you)
Examination:	Examination

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