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ECTS Course Overview



Industrial Robotics II

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code450-4096/02
Number of ECTS Credits Allocated4 ECTS credits
Type of Course Unit *Optional
Level of Course Unit *Second Cycle
Year of Study *
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionEnglish
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
HER215Ing. Radim Hercík, Ph.D.
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.
Learning Outcomes of the Course Unit
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.
Course Contents
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.
Recommended or Required Reading
Required Reading:
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
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 Reading:
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
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
Planned learning activities and teaching methods
Lectures, Individual consultations, Experimental work in labs, Project work, Other activities
Assesment methods and criteria
Tasks are not Defined