Teaching
Detailed information about the courses is available at Stud.IP.
Winter Term 2026/27
Praktikum Autonome Roboter
Dieses Praktikum findet als Blockkurs im März 2027 statt. Thematisch beschäftigt es sich mit der
Programmierung von autonomen Robotern, z.B. zu Navigation.
Proseminar Autonome Roboter
Das Proseminar behandelt aktuelle Forschungsthemen aus dem Bereich der autonomen Roboter. Studierende halten ein Vortrag über ein ausgewähltes Themen und fertigen eine Ausarbeitung an.
| Lecture + Exercise |
M.Sc. |
Link |
The course is concerned with fundamental principles and algorithms for mobile robot navigation and perception.
Topics are, for example, the locomotion of wheeled mobile robots, inertial sensors and beam-based sensors,
probabilistic state estimation methods such as Kalman filters and sequential Monte Carlo methods (particle filters) for
navigation and perception, Simultaneous Localization and Mapping (SLAM), and basic planning algorithms.
Seminar Perception for Autonomous Vehicles
The seminar considers emerging technologies and methods for the perception of autonomous vehicles.
It consists of a written scientific report and an oral presentation about a specific topic.
Practical Course Data Fusion
| Practical Course |
M.Sc. |
Link |
In this practical course, the students implement (sensor) data fusion algorithms and apply them to real-world problems in the context of mobile robotics, navigation,
perception and tracking.
Typical projects involve mobile robots such as drones and wheeled vehicles and sensors such as lidar, radar, cameras or inertial measurement units.
| Oberseminar |
PhD, M.Sc, B.Sc. |
Link |
Summer Term 2026
Praktikum Autonome Roboter
Dieses Praktikum findet als Blockkurs im September 2026 statt. Thematisch beschäftigt es sich mit der
Programmierung von autonomen Robotern, z.B. zu Navigation.
Proseminar Autonome Roboter
Das Proseminar behandelt aktuelle Forschungsthemen aus dem Bereich der autonomen Roboter. Studierende halten ein Vortrag über ein ausgewähltes Themen und fertigen eine Ausarbeitung an.
| Vorlesung und Übung |
B.Sc. |
Link |
Die Lehrveranstaltung vermittelt die grundlegenden Konzepte von Sensorsystemen sowie Algorithmen für die Sensordaten- und Signalverarbeitung.
| Lecture + Exercise |
M.Sc. |
Link |
The course is concerned with fundamental principles and algorithms for sensor data fusion, i.e., the combination of noisy data in order to gain information.
Seminar Perception for Autonomous Vehicles
| Seminar |
M.Sc., B.Sc. |
Link |
The seminar considers emerging technologies and methods for the perception of autonomous vehicles.
It consists of a written scientific report and an oral presentation about a specific topic.
Practical Course Data Fusion
| Practical Course |
M.Sc. |
Link |
In this practical course, the students implement (sensor) data fusion algorithms and apply them to real-world problems in the context of mobile robotics, navigation,
perception and tracking.
Typical projects involve mobile robots such as drones and wheeled vehicles and sensors such as lidar, radar, cameras or inertial measurement units.
| Oberseminar |
PhD, M.Sc, B.Sc. |
Link |
