Home
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
Visit our Channel: https://youtube.com/@CPSAustria
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, “Deep reinforcement learning for automated decision-making in wellbore construction”, by Sahar Keshavarz , Asad Elmgerbi , Vedant Dave, Elmar Rückert, and Gerhard…Read More
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