Robot control 1000-317bRC
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.
Type of course
Course coordinators
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 criteria
Final grade is based upon the credit programming project, homeworks (computer programs) and exam in laboratory.
Bibliography
Frank C. Park and Kevin M. Lynch, Modern Robotics: Mechanics, Planning, and Control
Peter Corke, Robotics, Vision and Control
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes:
- Bachelor's degree, first cycle programme, Computer Science
- Master's degree, second cycle programme, Computer Science
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: