392181 Übungen zu Grundlagen der Kollaborativen Robotik (Ü) (WiSe 2023/2024)

Contents, comment

Die Vorlesung Grundlagen der Kollaborativen Robotik führt in die Basiskonzepte der Mensch-Roboter-Kollaboration (MRK) in industriellen Szenarien ein. Hauptaugenmerk liegt auf den sogenannten Cobots (collaborative robot), die dafür konzipiert sind, sicher mit Menschen zusammenzuarbeiten. Dabei sollen neben den theoretischen Grundlagen der kinematischen und dynamischen Analyse von Robotern auch technischen Aspekte, wie Sensoren, Kontrollsysteme und wichtige Sicherheitsnormen studiert werden. Des Weiteren soll vermittelt werden, welche Rolle kognitive Fähigkeiten von Robotern, wie das Sehen, Sprachverstehen und Lernen für das Verständnis und die Weiterentwicklung dieser wachsenden Technologie spielen. Die Anwendung in verschiedenen Industriebereichen soll ebenfalls diskutiert werden. Die Vorlesung soll dabei von wöchentlichen Übungen begleitet werden, in denen Aufgabenzettel bearbeitet und besprochen werden.

The lecture Fundamentals of Collaborative Robotics introduces the basic concepts of human-robot collaboration (HRC) in industrial scenarios. The main focus is on the so-called cobots (collaborative robots), which are designed to work safely together with humans. Besides the theoretical basics of kinematic and dynamic analysis of robots, technical aspects such as sensors, control systems and important safety standards will be studied. Furthermore, the role of cognitive abilities of robots, such as vision, speech understanding and learning, will be taught for the understanding and further development of this growing technology. Applications in various industries will also be discussed. The lecture will be accompanied by weekly exercises in which task sheets will be worked on and discussed.

Requirements for participation, required level

Grundlagen Robotik
Grundlagen Mathematik
Grundlagen Neuronale Netze

Bibliography

Schunkert, Ryll: Kollaborative Roboterapplikationen - Von der Idee bis zur Integration
Buxbaum: Mensch-Roboter-Kollaboration
Müller et al.: Handbuch Mensch-Roboter-Kollaboration
Lynch, Park: Modern Robotics

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Di 14-16 CITEC 1.015 09.10.2023-02.02.2024

Hide passed dates <<

Subject assignments

Module Course Requirements  
39-Inf-WP-CIT Kognitive Interaktionstechnologie (Basis) Begleitende Übungen Student information
39-Inf-WP-CIT-x Kognitive Interaktionstechnologie (Schwerpunkt) Begleitende Veranstaltung Seminar o. Übung Student information
39-Inf-WP-R Robotik (Basis) Begleitende Übungen Student information
39-Inf-WP-R-x Robotik (Schwerpunkt) Begleitende Veranstaltung Seminar o. Übung Student information
39-M-Inf-INT-bas Basics of Interaction Technology Basics of Interaction Technology: Übung Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.


No more requirements
No eLearning offering available
Registered number: 17
This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
Address:
WS2023_392181@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_431826185@ekvv.uni-bielefeld.de
Coverage:
17 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Wednesday, February 21, 2024 
Last update times:
Wednesday, August 16, 2023 
Last update rooms:
Wednesday, August 16, 2023 
Type(s) / SWS (hours per week per semester)
exercise (Ü) / 2
Department
Faculty of Technology
Questions or corrections?
Questions or correction requests for this course?
Planning support
Clashing dates for this course
Links to this course
If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
The following link includes the course ID and is always unique:
https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=431826185
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
431826185