392133 Mobile Roboter (MA) (V) (WiSe 2024/2025)
Short comment
- Vorlesung und Übungen finden in Präsenz statt.
Contents, comment
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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). Dabei werden zwei verschiedene Lokalisationsverfahren implementiert und exploriert.
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Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-Inf-MR Mobile Roboter | Mobile Roboter | Ungraded examination
Graded examination |
Student information |
| 39-Inf-MR_a Mobile Roboter | Mobile Roboter | Ungraded examination
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 |
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- Monday, June 24, 2024
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- Monday, July 22, 2024
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- lecture (V) / 2
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- Faculty of Technology
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