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Software-Development for Industrial Robotics

(in German: Software-Development for Industrial Robotics )

Module-ID: FIN-INF-120273
Link: LSF
Responsibility: Prof. Dr. Frank Ortmeier
Lecturer: Prof. Dr. Frank Ortmeier
Classes:
  • Vorlesung Software-Development for Industrial Robotics
  • Übung Software-Development for Industrial Robotics
 
Applicability in curriculum: - M.Sc. INF: Informatik
- M.Sc. INGINF: Informatik
- M.Sc. INGINF: Ingenieurinformatik
- M.Sc. WIF: Informatik
- M.Sc. DKE: Applied Data Science
- M.Sc. DE: Methoden des Digital Engineering
- M.Sc. DE: Methoden der Informatik
- M.Sc. DE: Fachliche Spezialisierung
- M.Sc. VC: Computer Science

Abbreviation

SDIR

Credit Points

6

Semester

Winter

Term

ab 1.

Duration

1 Semester

Language

english

Level

Master

Intended learning outcomes:
Students will gain...

  • An understanding of problems in the field of robotics
  • An understanding and practical application of mathematical principles
  • Practical experience in programming industrial robots based on various tasks

Content:
The use of industrial robots is rapidly increasing nowadays, primarily due to their high flexibility and ability to perform a wide range of tasks. In this course, we provide an introduction and comprehensive overview of this field, with a particular focus on mathematical modeling. As part of the course, students will develop their own industrial robot controller within a simulation environment. This environment supports key functionalities such as point-to-point (PTP) and linear (LIN) motion, synchronous and asynchronous movement, collision-free path planning, and more. Assessment is based not only on theoretical knowledge—demonstrated through oral presentations of assignments—but also on practical programming projects. To facilitate collaboration, participants will be organized into groups of three to four members. The assigned tasks will range from researching and presenting specific subtopics in robotic programming to implementing core functionalities of a robot controller.

Workload:
180h = 56h Präsenszeit + 124h selbständige Arbeit

Pre-examination requirements: Type of examination: Teaching method / lecture hours per week (SWS):

Projekt

  • Vorlesung (2 SWS)
  • Übung (2 SWS)
Prerequisites according to examination regulations: Recommended prerequisites:

keine

Media: Literature:


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