Title: ROSEE: TUBAF’s Robotic Research Platform for Autonomous Systems
Speaker: Georg Jäger, together with Norman Seyffer and Nils Friedrich (TU Bergakademie Freiberg)
Date: July 09, 2026, 12h
Where: C6.3.27
Invited by: José Cecílio
Abstract: Modern autonomous mobile robots operating in outdoor environments must balance a variety of competing objectives. In this talk, we present the research ecosystem surrounding ROSEE (Robotic Outdoor System for Exploration and Experimentation), the central experimental robotic platform of the Software Technologies and Robotics group at TU Bergakademie Freiberg. We discuss our recent research activities across three key layers of the robotic control stack: energy optimization, safety-critical control, and perception/mapping.
Norman Seyffer will talk about his phd-topic on energy efficiency and optimization in mobile robotic platforms.
He analyzes the energy consumption profiles of the ROSEE platform and present hardware- and software-level energy optimization strategies designed to maximize operational range and durability.
Georg Jäger, focuses on safe control execution in dynamic environments. He presents the working group’s approach to context-dependent runtime assurance (RTA) framework based on a multi-candidate Switched Simplex Architecture. By combining offline stability proofs with online region of attraction (RoA) reconstruction, our method enables the safe deployment of uncertified, high-performance controllers.
Nils Friedrich, presents his work on uncertainty-aware navigation and environment representation. He aims at extending 3D Gaussian Splatting (3DGS) to incorporate uncertainty quantification. This shall allow the system to not only improve mapping accuracy during exploration but also explicitly inform downstream path planning and users about the varying qualities of the reconstructed 3D representation.
Short Bio: Georg Jäger received his PhD from TU Bergakademie Freiberg in 2022. Following postdoctoral research at the University of Lisbon and TU Freiberg, he served as the acting head of the Professorship for Artificial Intelligence (2025/2026).
He currently directs a research team of PhD and graduate students, focusing on mobile robotics, embedded systems, machine learning, and safety-critical domains.
His research, driven by several national and international initiatives, focuses on uncertainty quantification in control and AI/ML methods of autonomous mobile systems.
Norman Seyffer will talk about his PhD topic on energy efficiency and optimization in mobile robotic platforms. He analyzes the energy consumption profiles of the ROSEE platform and presents hardware- and software-level energy optimization strategies designed to maximize operational range and durability.
Nils Friedrich graduated in 2024 at TU Bergakademie Freiberg with a Bachelor of Science in Applied Computer Science.
Since then, he is pursuing his Master’s degree focusing on mobile robotics, and assisting reasearch on safe, robust navigation of outdoor robots.
He is currently working on uncertainty-aware 3DGS-based mapping.