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Software-Development for Industrial Robotics

Winter

(engl. Software-Development for Industrial Robotics )

Modulnummer: FIN-INF-120432
Link zum LSF: LSF
Verantwortung: Prof. Dr. Frank Ortmeier
Dozent:in: Prof. Dr. Frank Ortmeier
Lehrveranstaltungen:
  • Vorlesung Software-Development for Industrial Robotics
  • Übung Software-Development for Industrial Robotics
Verwendbarkeit: - 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

Kürzel

SDIR

CP

6

Semester

Winter

Fachsem.

ab 1.

Dauer

1 Semester

Sprache

deutsch

Niveau

Master

Angestrebte Lernergebnisse:
The students have ...

  • Understanding of problems in the robotics domain
  • Understanding and applicability of the mathematical background
  • Practical experience in programming industrial robots on the basis of various tasks

Inhalt:
The use of industrial robots is increasing rapidly these days. In 2014, the expected number of industrial robots increased by 27% compared to the previous year. The main reason is their flexibility, especially their ability to perform a wide range of tasks. In the lecture “Software Development for Industrial Robotics” an overview of this domain is given as well as the mathematical background. The latter deals in particular with the idea of forward and inverse kinematics, point-to-point movements, linear movements, trajectory planning, recognition of singularities, Denavit-Hartenberg convention, rotation and translation matrices. The final project deals with control using a collision-free path planner, KUKA youBot kinematics, numerical approaches to solving inverse kinematics, etc.

Arbeitsaufwand:
180h = 56h attendance time + 124h independent work

Prüfungsvorleistungen: Studien-/Prüfungsleistungen: Lehrform / SWS:

Projekt

mündliche Prüfung

  • Lecture (2 SWS)
  • Exercise (2 SWS)
Voraussetzungen nach Prüfungsordnung: Empfohlene Voraussetzungen:

none


Medienformen: Literatur:



Hinweise:

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