Course: Programming and Application of Industrial Robots and Manipulators

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Course title Programming and Application of Industrial Robots and Manipulators
Course code AUART/AE5PP
Organizational form of instruction Lecture + Lesson
Level of course Bachelor
Year of study not specified
Semester Winter
Number of ECTS credits 5
Language of instruction English
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Course availability The course is available to visiting students
Lecturer(s)
  • Navrátil Petr, Ing. Ph.D.
  • Spaček Ľuboš, Ing. Ph.D.
  • Zátopek Jiří, Ing.
  • Vašek Lubomír, doc. Ing. CSc.
Course content
1. Methods of programming robots 2. Fundamentals of off-line programming of industrial robots in a virtual environment 3. Introduction to the selected simulation system for robot programming 4. Programming of required functions using the robot simulation system 5. Production and manufacturing systems (PMS) - Introduction and types of PMS, and their work principles 6. Information flow in PMS. 7. Material flows in manufacturing systems (MS), work planning and scheduling. 8. Manipulators in MS, their classification and basic tasks 9. Robots in MS, their classification and basic tasks 10. Modelling and simulation in MS - tasks and goals. 11. Manufacturing operations, its basic characteristics, the use of robots and manipulators 12. Assembly operations, its basic characteristics, the use of robots and manipulators 13. Examples of solutions robotic manufacturing systems 14. Trends in MS and their impact on the handling of material objects

Learning activities and teaching methods
Monologic (Exposition, lecture, briefing), Dialogic (Discussion, conversation, brainstorming), Exercises on PC, Individual work of students
prerequisite
Knowledge
The student is expected to have a basic knowledge of the properties of industrial robots and manipulators, knowledge of organization and management of production and programming skills acquired in the subjects included in previous semesters.
The student is expected to have a basic knowledge of the properties of industrial robots and manipulators, knowledge of organization and management of production and programming skills acquired in the subjects included in previous semesters.
learning outcomes
After completing the course, students will be acquainted with the problems of industrial robots and manipulators industry. They also learn about resources for programming robots. Students will be able to practically solve problems associated with the application of robots and manipulators in practice, especially in manufacturing processes.
After completing the course, students will be acquainted with the problems of industrial robots and manipulators industry. They also learn about resources for programming robots. Students will be able to practically solve problems associated with the application of robots and manipulators in practice, especially in manufacturing processes.
teaching methods
Exercises on PC
Exercises on PC
Dialogic (Discussion, conversation, brainstorming)
Individual work of students
Individual work of students
Monologic (Exposition, lecture, briefing)
Monologic (Exposition, lecture, briefing)
Dialogic (Discussion, conversation, brainstorming)
assessment methods
Composite examination (Written part + oral part)
Grade (Using a grade system)
Grade (Using a grade system)
Composite examination (Written part + oral part)
Analysis of works made by the student (Technical products)
Analysis of works made by the student (Technical products)
Recommended literature
  • Black, J. T. he Design Of The Factory With A Future.
  • Chvála, B. - Matička, R. - Talácko, J.. Průmyslové roboty a manipulátory.
  • Kalný, R. Automatizované výrobní systémy,.
  • Kolíbal Z. Roboty a robotizované výrobní technologie.
  • Nof, Shimon Y. (editor). Handbook of Industrial Robotics, 2nd ed..


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester