| Course title | Robotics I |
|---|---|
| Course code | UAI/657 |
| Organizational form of instruction | Lecture + Lesson |
| Level of course | Bachelor |
| Year of study | not specified |
| Frequency of the course | In each academic year, in the summer semester. |
| Semester | Summer |
| Number of ECTS credits | 5 |
| Language of instruction | Czech |
| Status of course | Compulsory-optional |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
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| Course content |
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1. First robotics and its historical and social affiliation. Theoretical, experimental and industrial robotics. 2. Kinematics of robots. 3. Kinematics robot (completion). The dynamics of robots. Statics robots. 4. Different robots, their design, sensors, executive members. 5. The Architecture of intelligent robots. Feedback and their use. 6. Inertial sensors, GPS, odometry. 7. Other sensors (senses) for intelligent robotics. 8. Servo with vision in the loop. 9. Representation of the outside world robot. 10. Planning in robotics. Discrete planning formalism. 11. The planning for sampling in configuration space (C-space). Planning for restrictions. 12. Localization and mapping.
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| Learning activities and teaching methods |
Monologic (reading, lecture, briefing), Practical training
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| Learning outcomes |
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The subject teaches principles allowing to build robots capable of perceiving the world around them, plan activities robots in it including the ability to actively influence the world. They studied the different architectures of robots with cognitive abilities and their implementation. Students in the exercises will be make practical experiment with robots. Studied material has broader applicability in designing and building intelligent machines.
The student will learn the basics of robotics. Understand the principle and function of a robotic arm. They will also learn some principles of moving autonomous robots. |
| Prerequisites |
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Work with computer Counting with matrices Knowledge of working with Linux and programming in Python is an advantage
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| Assessment methods and criteria |
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Oral examination, Seminar work
Active participation in seminars (80%) Working-out task. Passing the written test. |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester | |
|---|---|---|---|---|
| Faculty: Faculty of Science | Study plan (Version): Applied Informatics (1) | Category: Informatics courses | - | Recommended year of study:-, Recommended semester: Summer |