Software-Development for Industrial Robotics

Winter
 
(engl. Software-Development for Industrial Robotics
)
Modulnummer: FIN-INF-120432
Kürzel
SDIR
CP
6
Semester
Winter
Fachsem.
ab 1.
Dauer
1 Semester
Sprache
deutsch
Niveau
Master
Link zum LSF:
 LSF
Zugang beschränkt:
true
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
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:
Zuangsbeschränkung: Limitierte Teilnehmerzahl. Auswahlverfahren wird in erster Vorlesung bekannt gegeben