The Chair of Cyber-Physical-Systems
The Chair of Cyber-Physical Systems at the Technical University Leoben, led by Prof. Dr. Elmar Rueckert, conducts research at the intersection of artificial intelligence and autonomous systems.
Our work focuses on developing foundation models for robotics and exploring robot skill learning, including dexterous and visual–tactile manipulation, reinforcement learning, self-supervised, active / interactive, and intrinsically motivated learning. We are particularly interested in inference and reasoning mechanisms that enable robots to generalize and adapt across complex environments.
Application domains include humanoid robotics and autonomous systems for real-world tasks, industrial production, recycling, and mining, where our goal is to advance safety, efficiency, and sustainability through intelligent, adaptable robotic solutions.
Latest Research Videos
AI & Robotics Positions and Topics
The chair is offering a number of open positions and student thesis topics in AI and robotics.
Also check our wiki, which offers numerous public posts on open source code repositories or tutorials.
Latest news
News
We are pleased to announce that our latest paper, “Instance segmentation pipeline for etch pit detection and prismatic slip characterization on silicon carbide substrates”, by Georg Holub, Sebastian Hofer, Thomas…Read More
Our paper by Vedant Dave, Ozan Özdenizci and Elmar Rueckert on “Learning Robust Representations for Visual Reinforcement Learning via Task-Relevant Mask Sampling” was accepted for publication at the Transactions on…Read More
Our paper by Marko Jamsek, Elmar Rueckert and Jan Babic on ‘Foot Placement Prediction in Real-Time Using Probabilistic Movement Primitives’ was accepted at the IEEE-RAS International Conference on Humanoid Robots…Read More
Our proposal MINEView—an initiative focused on autonomous systems for assessing underground mining conditions and delivering early warnings—has been accepted for funding! Over the next three years, the CPS team will…Read More
The paper by Melanie Neubauer and Ozan Özdenizci and Justus Piater and Elmar Rueckert on Sparsifying instance segmentation models for efficient vision-based industrial recycling was selected for publication at the…Read More
Our joint grant proposal with Prof. Thomas Thurner was selected for funding by our university rectorate. We will set up an Innovation lab for automation, robotics, and AI with a…Read More
Our paper by Linus Ebere Nwankwo, Björn Ellensohn, Vedant Dave, Peter Hofer, Jan Forstner, Marlene Villneuve, Robert Galler, and Elmar Rueckert on ‘EnvoDat: A Large-Scale Multisensory Dataset for Robotic Spatial…Read More
Our paper by Ozan Özdenizci, Elmar Rueckert and Robert Legenstein on ‘Privacy-Aware Lifelong Learning’ was accepted for publication at the International Conference on Learning Representations (ICLR 2025).
Our proposal, “Multi-modal, tactile-visual robotic gripping system for industrial applications” (German: “Multi-modale, taktile-visuelle Robotergreifsysteme für industrielle Anwendungen”), has been accepted for funding! Over the next three years, CPS will receive…Read More
Our paper by Vedant Dave and Elmar Rueckert on ‘Skill Disentanglement in Reproducing Kernel Hilbert Space’ was accepted for publication at the AAAI Conference on Artificial Intelligence (AAAI 2025).
The paper by Simone Trimmel and Philipp Spörl and Daniela Haluza and Nagi Lashin and Thomas C. Meisel and Ulrike Pitha and Thomas Prohaska and Markus Puschenreiter and Elmar Rückert…Read More
Our apprentice Kosmo talks about his experience at the chair of Cyber-Physical-Systems. Read more: https://www.meinbezirk.at/leoben/c-wirtschaft/kosmo-hat-genau-das-gefunden-was-er-gesucht-hat_a6678309
The paper on ‘Semi-Autonomous Fast Object Segmentation and Tracking Tool for Industrial Applications’ by Melanie Neubauer and Elmar Rueckert was accepted for publication in the International Conference on Ubiquitous Robots…Read More
The paper on ‘M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation’ by Fotios Lygerakis, Vedant Dave and Elmar Rueckert was accepted for publication in the International…Read More
The paper on ‘Advancing Interactive Robot Learning: A User Interface Leveraging Mixed Reality and Dual Quaternions’ by Nikolaus Feith and Elmar Rueckert was accepted for publication in the International Conference…Read More
More news on Professor Rueckert’s page.