Theory: 50 %

Practice: 50 %

Recommended semester: 7

Study mode: full-time

Prerequisites:

Evaluation type: exam

Course category:

Language: english

Responsible instructor: Dr. Kósa János Árpád

Responsible department: Department of Information Technologies

Instructor(s): Prof. Dr. Kővári Attila , Piller László, Sári Bence

Course objectives:
The aim of the course is for students to learn the methods of controlling industrial robots, the principle of robot control and the basics of robot programming.

Course content - lectures:

Development of robots, workspace, D-H transformation. Coordinate systems, point control, multipoint control, track control, road raster and time raster interpolation. Basics of robot programming, direct, indirect, mixed programming, programming languages. Elements and structure of robot programming languages, RAPID programming language. Parameters of industrial robots, grippers, collaborative robots.

Course content - labs:

Defining an environmental model in ABB Robot studio. Solving practical robot programming tasks. One PLC workstation to carry out the programming tasks of the lab work. Two ABB robot workstations and 16 ABB Robot Studio Development Environments.

Acquired competences:
Knowledge:

Can apply the computational, modeling principles and methods related to mechanical product, process, and technology design.

Skills:

Is able to apply the acquired IT knowledge in solving tasks arising in their field of expertise. Is capable of applying the technical specifications related to the operation of mechanical systems, as well as the principles of setting up and operating machinery and mechanical equipment, and their economic correlations.

Attitude:

Is open to learning about and accepting ongoing professional and technological developments and innovations in the technical field, and reliably conveying them.

Autonomy and responsibilities:

Identifies the shortcomings of applied technologies, the risks of processes, and initiates actions to mitigate these.

Additional professional competences:

Requirements, evaluation, grading:
Mid-term study requirements:
Written tests (2*20 ponts) and presentation of a given topic (20 points). The schedule of tests and presentation announced in the first lesson. Attending laboratory exercises, during the laboratory exercises students must prepare, submit and present the tasks determined by the laboratory leader (5 tasks total 40 points).
Exam requirements:

Test.

Study aids, laboratory background:

Compulsory readings:

Bruno S., Oussama K.: Springer handbook of robotics, Springer. 2008. ISBN: 978-3540239574

Recommended readings:

A.K. Gupta, S.K. Arora and Jean Riescher Westcott: Industrial Automation and Robotics, Mercury Learning and Information LLC, 2016, ISBN: 978-1-938549-30-4. (https://dlib.hust.edu.vn/bitstream/HUST/18625/3/OER000000209.pdf) Mark R. Miller and Rex Miller: Robots and Robotics: Principles, Systems, and Industrial Applications, 1st Edition, McGraw-Hill Educationm 2017, ISBN: 9781259859786. Isak Karabegović and Lejla Banjanović-Mehmedović: Industrial Robots: Design, Applications and Technology, NOVA publishers, ISBN: 978-1-53617-779-4 Michal Gurgul: Industrial robots and cobots: Everything you need to know about your future co-worker, ISBN: ‎8395251319