Course detail

Robotics Workcells Designing and Programming

FSI-GNP-KAcad. year: 2020/2021

The main aim of the course is to acquaint students with the basics of robotic cell design for various applications or technologies. The main emphasis is placed on the use of simulation tools (e.g. SW Siemens Process Simulate) for verification of the technological process and determination of the cycle time within the level of time-based simulation or event-based simulation. Furthermore, students will learn about the currently available possibilities of programming industrial robots.

Learning outcomes of the course unit

Students will gain a comprehensive overview of possibilities and requirements for a robotic cell design. Based on their experience they will be able to work independently in the field of designing workplaces for typical industrial applications (handling, palletizing, welding, machining, etc.). Students will also gain a comprehensive and practically oriented overview of the possibilities of programming industrial robots.

Prerequisites

Successful completion of the subject Industrial Robots and Manipulators I (GPZ), Robots and Manipulators II (GPL) and a basic knowledge of programming (language C, C ++, C #).

Co-requisites

Not applicable.

Recommended optional programme components

Not applicable.

Recommended or required reading

SICILIANO, B. KHATIB, O. Springer Handbook of Robotics. Springer-Verlag New York, Inc., 2008. 1611 s. ISBN 978-3-540-23957-4
PIRES, J. N. Industrial Robots Programming: Building Applications for the Factories of the Future. Springer, 2008. 282 s. ISBN 978-0-387-23325-3
NOF, S. Y. Springer Handbook of Automation. Springer, 2009. 1812 s. ISBN 978-3-540-78830-0
MONKMAN, G. J., HESSE, S., STEINMANN, R. SCHUNK, H. Robot Grippers. Wiley-VCH Verlag, 2007. 463 s. ISBN 978-3527406197
WOLF, A., STEINMANN, R. SCHUNK, H. Grippers in Motion: The Fascination of Automated Handling Tasks. Springer, 2005. 242 s. ISBN 978-3-540-27718-7
Manuály k průmyslovým robotům KUKA: KUKA - Operating and Programming Instructions, v. 1.1, 2006; KUKA - KR C2/KR C3 Expert Programming, v. 01, 2006; KUKA - KR C4 Programming, 2013; KUKA - WorkVisual (různé verze), konfigurace vstupů/výstupů, 2013; KUKA - Industrial Robots, Safety: for mechanical components, 2012.

Planned learning activities and teaching methods

The course is based on laboratory seminars focusing on a practical use of acquired knowledge. Acquired knowledge will be tested within the seminars in connection with KUKA industrial robots. According to actual possibilities, the students will also be confronted with selected lectures presented by industrial experts. Special field trips to selected companies – focused on the course content – are also expected to organize.

Assesment methods and criteria linked to learning outcomes

Assessment methods and criteria linked to this course: course-unit credit is awarded on condition of having attended the seminars at least 80 % and worked out a semestral project on a given topic. Specifications for processing individual projects will be specified at the beginning of the semester.

Language of instruction

Czech

Work placements

Not applicable.

Aims

The aim of the course is to acquaint students with the methodology of designing robotic cells for typical applications and technologies used in industry. Another aim is a practical knowledge of programming methods of industrial robots, including the use of advanced simulation tools for off-line programming.

Specification of controlled education, way of implementation and compensation for absences

Seminars are obligatory. Justified absence can be compensated by consultations. When obtaining credit, the student's knowledge will be verified based on the ability of their practical application.

Classification of course in study plans

  • Programme N-VSR-K Master's, 1. year of study, summer semester, 4 credits, compulsory-optional

Type of course unit

 

Guided consultation

35 hours, compulsory

Teacher / Lecturer

Syllabus

1. Introduction to designing of robotic cells and advanced KUKA robot programming. Analysis of most common types of robotic cells including the safety issue.
2. Design methodology for the whole conception of robotic cells, placement of main components (expert level).
3. Advanced programming in KUKA KRL, sensors – possibilities of integration, possibilities of cell control.
4. Case study no. 1: manipulation task with KUA robot (conveyor belt, external control system).
5. Case study no. 2: using simulation tools (CAD/CAM programming, robotic deburring, milling).
6. Case study no. 3: Technological operations with industrial robots. Requirements, possibilities and approaches to solution.
7. Assignment of individual projects with KUKA robots: solution possibilities.
8. Projects solving: consultation and verification.
9. Projects solving: consultation and verification.
10. Projects solving: consultation and verification.
11. Projects solving: consultation and verification.
12. Verification and evaluation of student’s solutions.
13. Total classification.

Laboratory exercise

17 hours, compulsory

Teacher / Lecturer

Syllabus

1. Introduction to designing of robotic cells and advanced KUKA robot programming. Analysis of most common types of robotic cells including the safety issue.
2. Design methodology for the whole conception of robotic cells, placement of main components (expert level).
3. Advanced programming in KUKA KRL, sensors – possibilities of integration, possibilities of cell control.
4. Case study no. 1: manipulation task with KUA robot (conveyor belt, external control system).
5. Case study no. 2: using simulation tools (CAD/CAM programming, robotic deburring, milling).
6. Case study no. 3: Technological operations with industrial robots. Requirements, possibilities and approaches to solution.
7. Assignment of individual projects with KUKA robots: solution possibilities.
8. Projects solving: consultation and verification.
9. Projects solving: consultation and verification.
10. Projects solving: consultation and verification.
11. Projects solving: consultation and verification.
12. Verification and evaluation of student’s solutions.
13. Total classification.