450-4096/02 – Industrial Robotics II (PR II)

Gurantor departmentDepartment of Cybernetics and Biomedical EngineeringCredits4
Subject guarantorIng. Radim Hercík, Ph.D.Subject version guarantorIng. Radim Hercík, Ph.D.
Study levelundergraduate or graduateRequirementOptional
Year2Semesterwinter
Study languageEnglish
Year of introduction2019/2020Year of cancellation
Intended for the facultiesFEIIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
HER215 Ing. Radim Hercík, Ph.D.
VAL47 Ing. David Vala, Ph.D.
ZEM0122 Ing. Jan Zemánek
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2
Part-time Credit and Examination 0+16

Subject aims expressed by acquired skills and competences

The aim of the course is to provide students with extensive information in the field of industrial / mobile robots and its groups management, advanced robotics, mobile and collective robotics, machine learning and artificial intelligence. After studying the module, the student should get an overview of the AI methods used, the principles of machine learning, planning and decision making. They should gain practical experience with their use and acquire other skills needed to create intelligent agents and autonomous control of robot groups.

Teaching methods

Lectures
Individual consultations
Experimental work in labs
Project work
Other activities

Summary

The subject follows the Industrial Robotics I from the bachelor's study. It focuses on advanced robotics, sensors, mobile and collective robotics, machine learning and artificial intelligence. In the practical part of laboratory exercises it deals with the advanced control of industrial and mobile robots with more degrees of freedom with simple and multisensor systems for local and global monitoring of position, speed and acceleration in the area and space and autonomous fulfillment of given tasks.

Compulsory literature:

Reza N. Jazar: Theory of Applied Robotics: Kinematics, Dynamics, and Control. Springer, 2010. Stuart J. Russel and Peter Norvig. Artificial Intelligence, a Modern Approach. 3rd edition, 2010

Recommended literature:

Johnston, J.: The Allure of Machinic Life: Cybernetics, Artificial Life. The MIT Press, USA, 2008 ISBN 978-0-262-10126-4 Blach, T., Parker L.E.: Robot Teams - From Diversity to Polymorphism. AK Peters, Naick Massachusetts 2002

Way of continuous check of knowledge in the course of semester

Combined exam (written and oral). Ongoing monitoring of studies: semester project Credit conditions: implementation and defense of a semester project (40 points)

E-learning

Other requirements

There are no additional requirements.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: 1. Subsystems and key components of applications with industrial robots. 2. Industrial sensors and sensors for industrial and mobile robotics. 3. Gripping systems, grippers. 4. Machine vision, bin-picking tasks. 5. Camera systems for industrial and mobile robotics, navigation. 6. Industrial networks, 5G, cloud computing and its use in industrial and mobile robotics. 7. Communication of industrial robots with control systems. 8. Communication of mobile robots with control systems. 9. Safety, optical barriers, lidars, radars in industrial and mobile robotics. 10. Cooperation of several industrial robots. 11. Virtual modeling, digital twin in industrial robotics. 12. Virtual reality, augmented reality, assisted assembly as support for industrial and mobile robotics. Exercises: 1. Safety training, organization of exercises. 2. Slow work with Kuka robots. 3. Ways of grasping objects using Kuka industrial robots. 4. Creating a program for Kuka robots using the WorkVisual environment, part I. 5. Creating a program for Kuka robots using the WorkVisual environment part II. 6. Advanced programming of Kuka robots part I. 7. Advanced programming of Kuka robots part II. 8. Use of the industrial 5G network for communication with industrial robots - UseCase creation. 9. Use of the industrial 5G network for communication with industrial mobile robots - UseCase creation. 10. Virtual reality and its connection to industrial robotics. 11. SmartFactory line and method of implementing Kuka industrial robots and Mir mobile robot into one functional unit. 12. Defense of the semester project, credit.

Conditions for subject completion

Full-time form (validity from: 2019/2020 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Credit and Examination Credit and Examination 100 (100) 51
        Credit Credit 45 (45) 12
                Test č.1 Written test 10  5
                Test č.2 Written test 10  5
                Účast ve cvičeních Other task type 12  10
                Realizace, technická dokumentace, prezentace Other task type 13  5
        Examination Examination 55 (55) 20 3
                Písemná zkouška Written examination 30  10 3
                Ústní zkouška Oral examination 25  10 3
Mandatory attendence participation: 80% attendance at the exercises

Show history

Conditions for subject completion and attendance at the exercises within ISP: 80% attendance at the exercises

Show history

Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2024/2025 (N0688A140015) Industry 4.0 PKS P English Ostrava 2 Compulsory study plan
2024/2025 (N0714A150002) Control and Information Systems P English Ostrava 2 Optional study plan
2023/2024 (N0688A140015) Industry 4.0 PKS P English Ostrava 2 Compulsory study plan
2023/2024 (N0714A150002) Control and Information Systems P English Ostrava 2 Optional study plan
2022/2023 (N0714A150002) Control and Information Systems P English Ostrava 2 Optional study plan
2021/2022 (N0714A150002) Control and Information Systems P English Ostrava 2 Optional study plan
2020/2021 (N0714A150002) Control and Information Systems P English Ostrava 2 Optional study plan
2019/2020 (N0714A150002) Control and Information Systems P English Ostrava 2 Optional study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner
ECTS - mgr. 2024/2025 Full-time English Optional 401 - Study Office stu. block
V - ECTS - mgr. 2023/2024 Full-time English Optional 401 - Study Office stu. block
V - ECTS - mgr. 2022/2023 Full-time English Optional 401 - Study Office stu. block
V - ECTS - mgr. 2021/2022 Full-time English Optional 401 - Study Office stu. block
V - ECTS - mgr. 2020/2021 Full-time English Optional 401 - Study Office stu. block

Assessment of instruction



2022/2023 Winter
2020/2021 Winter