392133 Mobile Roboter (V) (WiSe 2023/2024)

Short comment

(inverted classroom), Vorlesung als Videoaufzeichnung

Contents, comment

Die Vorlesung "Mobile Roboter" gibt eine Einführung in die Methoden zur Steuerung mobiler Roboter: Sensoren, Kinematik, Pfadintegration, probabilistische Lokalisationsverfahren, SLAM-Verfahren, visuelle Navigation und Pfadplanung. Die Übungen sind zweigeteilt: im ersten Teil werden die erworbenen Kenntnisse in Theorieaufgaben zur Kinematik, Pfadintegration, Lokalisation und Pfadfindung erprobt. Der zweite Teil der Übungen beinhaltet Aufgaben zur Kinematik, Pfadintegration und Lokalisation, die in einem Robotersimulator gelöst werden sollen (Programmierung in Python).

External comments page

https://www.ti.uni-bielefeld.de/html/teaching

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Mo 10-12 D4-135 09.10.2023-02.02.2024 (inverted classroom), Vorlesung als Videoaufzeichnung
one-time Mo 10-12 H14 12.02.2024 1. Klausurtermin
one-time Mo 10-12 H14 18.03.2024 2. Klausurtermin

Hide passed dates <<

Subject assignments

Module Course Requirements  
39-Inf-MR Mobile Roboter Mobile Roboter Graded examination
Student information
39-Inf-MR_a Mobile Roboter Mobile Roboter Ungraded examination
Graded examination
Student information
39-Inf-WP-R Robotik (Basis) Einführende Vorlesung Student information
- Graded examination Student information
39-Inf-WP-R-x Robotik (Schwerpunkt) Einführende Veranstaltung Seminar o. Vorlesung Student information
Vorlesung zum zweiten Thema Student information
- Graded examination Student information
39-Inf-WP-SR Signalverarbeitung & Regelungstechnik (Basis) Einführende Vorlesung Student information
- Graded examination Student information
39-Inf-WP-SR-x Signalverarbeitung & Regelungstechnik (Schwerpunkt) Einführende Veranstaltung Seminar o. Vorlesung Student information
Vorlesung zum zweiten Thema Student information
- Graded examination Student information
39-M-Inf-ASE-app Applied Autonomous Systems Engineering Applied Autonomous Systems Engineering: Vorlesung Student information
- Graded examination Student information
39-M-Inf-ASE-app-foc Applied Autonomous Systems Engineering (focus) Applied Autonomous Systems Engineering (focus): Vorlesung Student information
- Graded examination 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.

Degree programme/academic programme Validity Variant Subdivision Status Semester LP  
Studieren ab 50    

No more requirements
E-Learning Space
E-Learning Space
Moodle Courses
Moodle Courses
Address:
WS2023_392133@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_427604500@ekvv.uni-bielefeld.de
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Monday, August 7, 2023 
Last update times:
Friday, November 10, 2023 
Last update rooms:
Friday, November 10, 2023 
Type(s) / SWS (hours per week per semester)
lecture (V) / 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=427604500
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
427604500