Robotics

The course provides an introduction to robotics in a wide sense. Robot types and achievements in robotics are analyzed. A line is drawn between what current robotics can and can not do. Main principles of robotics are analzyed: like closed loop issues, control and stability; kinematic and dynamic views onto robotics. Sensors, motors, movement principles, both for robot arms and driving robots are being analyzed. Cognitive aspects are widely analyzed, too, as well as human robot interaction. Laboratory works are based on driving robots.

To introduce the students to robotics in a wide sense, to teachthem to analize, evaluate and design robotic systems.

Mathematical analysis, graph theory

1. Introduction to robotics, specificity of embodied intelligence 2. Mindstorm EV3 programming 3. Closer loop and learning in the closed loop 4. Degrees of freedom, joints, motors and gears 5. Robot kinematics and dynamics 6. Navigation, localization and mapping 7. Robot autonomous movement in labyrinth: practical approaches 8. Trajectory generation 9. Sensors in robotics 10. Robotic vision 11. Cognitive robot architectures 12. Human-robot interfaces and interactions.

1. Ability to compare different robots and different methods in robotics 2. Ability to reason an summarize in the field of robotics 3. Ability to apply knowledge for solutions of new robotic tasks 4. Ability to study materials in robotics independently and find additional material in case questions arise 5. Ability to formulate fluent and logically sound answer to questions in robotics 6. Ability to choose construction of a robot, design and implement robotic algorithms