Course detail
Robotics and Computer Vision
FEKT-BPC-PRPAcad. year: 2022/2023
Students will work in teams in specialized laboratory of Robotics. They will try to build mobile robot from scratch, designing their own mechanics, connecting electronic modules together, and developing software to make mobile robot working. At the end, there will be competition to compare skills they get during entire semester. This class can extend more theoretically focused class BPC-RBM, but it is not necessary to attend this course.
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Learning outcomes of the course unit
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Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
35pts functional test on three tracks (10pts straight line, 10pts bend line, 15pts "8" - shape path)
15pts documentation of the robot
30pts project (final competition position)
10pts technical quality of solution
10pts oral presentation of the project strategies and success
Course curriculum
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Specification of controlled education, way of implementation and compensation for absences
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Lecture
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Syllabus
2. Platforma KAMbot – popis, periferie, možnosti použití pro robotické soutěže.
3. Raspberry Pi – Základy programování, i2c sběrnice, periferie.
4. Raspberry Pi – Pokročilé možnosti programování, ladění.
5. Výkonová elektronika, pohony.
6. Přímá a inverzní kinematika robotu, zpracování dat ze senzorů.
7. Mechanická konstrukce, 3D tisk.
8. Pravidla závěrečné soutěže, možné způsoby řešení. (účast povinná)
9. Základy počítačového vidění v mobilní robotice.
10. Použití kamery s Raspberry Pi.
11. Základní knihovny pro zpracování obrazu.
12. Pokročilé metody zpracování obrazu I.
13. Pokročilé metody zpracování obrazu II.
Laboratory exercise
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Syllabus