Course title, code: Robots in Vehicle Manufacturing, GAJABAN-ROBOTJGY-1

Name and type of the study programme: Computer science engineering, BSc
Curriculum: 2023
Number of classes per week (lectures+seminars+labs): 2+0+2
Credits: 4
Theory: 50 %
Practice: 50 %
Recommended semester: 5
Study mode: full-time
Prerequisites:
Evaluation type: term mark
Course category:
Language: english
Responsible instructor: - nincs
Instructor(s): Sándor Roland
Course objectives:
The aim of the course is to acquaint the student with the possibilities of using robots in the automotive industry. Get to know the types of robots and end effectors and understand how they works.
Course content - lectures:

Types of industrial robots, advantages and disadvantages of each type. Types of End Effectors and their uses. Conditions for the integration of industrial robots into a production system. Operation of production cells supported by industrial robots.


Course content - labs:

Acquired competences:
Knowledge:


Skills:


Attitude:


Autonomy and responsibilities:


Additional professional competences:

Students will be able to select the appropriate robot for a particular technical problem and design the associated end effector in advance. They will also be able to plan the conditions for integrating the robots into the production line.

Requirements, evaluation, grading:
Mid-term study requirements:
During the semester, one final examination will be written, which can be corrected or made up once. A satisfactory result in the final examination is a prerequisite for obtaining a satisfactory mid-semester grade. The mid-term mark is the final examination mark.
Exam requirements:

Study aids, laboratory background:

Compulsory readings:

Recommended readings:

Samuel Bouchard (Author), Jérémy Couture (Author), Kate Stern (Editor), Lean Robotics: A Guide to Making Robots Work in Your Factory, 2017, ISBN-10: 1775082903, ISBN-13:978-1775082903 John Craig Introduction to Robotics, Global Edition, 2021, ISBN-10:129216493X, ISBN-13: 781292164939