htw saar Piktogramm QR-encoded URL
Back to Main Page Choose Module Version:
emphasize objectives XML-Code

flag



Industrial and Collaborative Robots (Practical Course)

Module name (EN):
Name of module in study programme. It should be precise and clear.
Industrial and Collaborative Robots (Practical Course)
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Electrical Engineering and Information Technology, Bachelor, ASPO 01.10.2018
Module code: E2671
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P221-0203
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
-
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
5
Semester: 4
Mandatory course: no
Language of instruction:
German
Assessment:
 


[updated 15.04.2024]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

E2671 (P221-0203) Electrical Engineering and Information Technology, Bachelor, ASPO 01.10.2018 , semester 4, optional course
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
The total student study time for this course is 150 hours.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Michael Kleer
Lecturer: Prof. Dr. Michael Kleer

[updated 25.03.2024]
Learning outcomes:
After successfully completing this module, students will be able to demonstrate and apply the most important methods for describing and calculating robot systems for a specific setup and for a specific industrial robot. They will be able to independently understand a task assigned to them and solve it with one of the industrial robots assigned to them in the AMS laboratory.
Students will also be able to summarize the project they have worked on and present it to the group in such a way that the other participants can understand the chosen solution and the most important milestones. They will also be able to defend the proposed solution in the face of critical questions from the group.

[updated 15.04.2024]
Module content:
1. Theoretical familiarization with the assigned industrial robot
2. Project planning and commissioning of the required components
3. Step-by-step implementation and review of the implemented solution steps
4. Development of the final solution, iteration if necessary to improve the implementation
5. Group documentation and reporting


[updated 15.04.2024]
Recommended or required reading:
Will be announced in the lecture.

[updated 15.04.2024]
 
[Sun Oct  6 06:48:18 CEST 2024, CKEY=epiukr, BKEY=ei, CID=E2671, LANGUAGE=en, DATE=06.10.2024]