Teaching
Our lab is dedicated to advancing education in intelligent robotics through a range of dynamic teaching activities. We offer specialized modules for both Bachelor’s and Master’s students, covering topics such as autonomous systems, machine learning for robotics, human-robot interaction, and robotic perception. Through hands-on projects, lectures, and seminars, we prepare students to tackle real-world challenges in the rapidly evolving field of robotics.
Lectures
Type: Lecture
Semester: Winter Semester
Target Group: Master
This course will provide the theoretically and practically fundamentals of mobile robotics with a focus on robot navigation.
The concepts and methods are key to a wide range of robot applications, from households, intralogistics, service, industry, aerial vehicles, to self-driving cars.
The course consists of a lecture and an accompanying exercise.
Type: Fachpraktikum / practical course
Semester: Summer Semester
Target Group: Master
Robots navigating their environments rely on exteroceptive sensors such as cameras (stereo, monocular, RGB-D) and LiDARs to perceive and model the world around them. In this course, the focus is on the use of cameras for robot navigation. Key topics include the fundamentals of visual perception systems in robotics, processing image data streams, and transitioning between 3D environments and 2D projections. The course emphasizes building a visual odometry pipeline in C++/Python, with opportunities to extend the work by integrating proprioceptive sensors (e.g., IMUs), generating 3D maps with tools like nvBlox or Neural Radiance Fields, adding semantic information, or developing full visual SLAM systems. Work is based on both publicly available datasets and real-world data collected with camera systems.
Seminars
Type: Seminar
Semester: Summer Semester and Winter Semester
Target Group: Master
Interactive robots collaborating intelligently with humans are deployed in a growing number and variety of real-world applications. Key research areas driving this progress include 3D semantic environment learning, imitation learning, multimodal foundation models, human behavior modeling and transfer, dexterous grasping,
mobile manipulation, and physical and social human-robot interaction.
In this seminar, the focus is on exploring recent research trends in robotics and learn how to work with scientific literature efficiently and effectively.
Projects
Zielgruppe: Bachelor (mehr Informationen)
Student Theses
We supervise Bachelor’s and Master’s theses on intelligent robotics topics closely linked to relevant and cutting-edge research, giving students the opportunity to gain hands-on experience and contribute to advancing the field.
For an overview of available topics and the procedure for starting a thesis with us, please follow the link below.
Other
Institute Teaching Overview
The institute teaching overview offers more formal details and C@mpus links for about our teaching.