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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

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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

Conference Paper Accepted at UR 2024
Conference Paper Accepted at UR 2024

The paper on ‘Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement’ by Nikolaus Feith and Elmar Rueckert was accepted for publication in…Read More

Journal Paper accepted at Sensors (MDPI)
Journal Paper accepted at Sensors (MDPI)

The paper by Kunavar, T., Jamšek, M., Avila-Mireles, E. J., Rueckert, E., Peternel, L., and Babič J. on “The Effects of Different Motor Teaching Strategies on Learning a Complex Motor…Read More

Conference Paper Accepted at ICRA 2024
Conference Paper Accepted at ICRA 2024

The paper on ‘Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training’ by Vedant Dave*, Fotios Lygerakis* and Elmar Rueckert was accepted for publication in the IEEE International Conference on Robotics and…Read More

Conference Paper accepted at HRI 2024
Conference Paper accepted at HRI 2024

The paper on ‘The Conversation is the Command: Interacting with Real-World Autonomous Robot Through Natural Language’ by Linus Nwankwo and Elmar Rueckert was accepted for publication the the International Conference…Read More

FFG Project Grant – NNATT
FFG Project Grant – NNATT

Our joint proposal on “Sustainable use of excavated materials from civil engineering and tunnel construction using sensor-based technologies” was granted by the  Austrian Research Promotion Agency (FFG). The project starts…Read More

Conference Paper accepted at ACAIT 2023
Conference Paper accepted at ACAIT 2023

The paper on ‘CR-VAE: Contrastive Regularization on Variational Autoencoders for Preventing Posterior Collapse’ by Fotios LYgerakis and Elmar Rueckert was accepted for publication at the Asian Conference of Artificial Intelligence…Read More

Conference Paper accepted at ICSTCC 2023
Conference Paper accepted at ICSTCC 2023

The paper on Deep Reinforcement Learning for Mapless Navigation of Autonomous Mobile Robot by Yadav, Harsh; Xue, Honghu; Rudall, Yan; Bakr, Mohamed; Hein, Benedikt; Rueckert, Elmar; Nguyen, Ngoc Thinhwas accepted…Read More

Best Student Paper Award – Linus Nwankwo
Best Student Paper Award – Linus Nwankwo

Congratulations to Linus Nwankwo for winning the best student paper award at the RAAD2023 conference for his paper on why SLAM algorithms fail in modern indoor environments, https://cloud.cps.unileoben.ac.at/index.php/s/KdZ2E2np5QEnYfL  

Journal Paper Accepted at Hardware X
Journal Paper Accepted at Hardware X

The paper by Linus Nwankwo, Clemens Fritze, Konrad Bartsch, and Elmar Rueckert on “ROMR: A ROS-based Open-source Mobile Robot” was accepted for publication in the journal Hardware X.

Conference Paper accepted at RAAD 2023
Conference Paper accepted at RAAD 2023

The paper on Understanding why SLAM algorithms fail in modern indoor environments by Linus Nwankwo and Rueckert Elmar was accepted for publication at the International Conference on Robotics in Alpe-Adria-Danube…Read More

FFG Project Grant – KIRAMET
FFG Project Grant – KIRAMET

Our joint proposal on “AI for recycling 2022” (germ. Künstliche Intelligenz für Recycling 2022) was granted by the  Austrian Research Promotion Agency (FFG). The project starts in March/April 2023 and…Read More

Conference Paper accepted at HUMANOIDS 2022
Conference Paper accepted at HUMANOIDS 2022

The paper on End-To-End Deep Reinforcement Learning for First-Person Pedestrian Visual Navigation in Urban Environments by Honghu Xue, Rui Song, Julian Petzold, Benedikt Hein, Heiko Hamann and Rueckert Elmar was…Read More

Conference Paper accepted at HUMANOIDS 2022
Conference Paper accepted at HUMANOIDS 2022

The paper on Predicting full-arm grasping motions from anticipated tactile responsess by Dave Vedant and Rueckert Elmar was accepted for publication at the International Conference on Humanoid Robots (Humanoids 2022),…Read More

Journal Paper Accepted at Frontiers in Neuroscience
Journal Paper Accepted at Frontiers in Neuroscience

The paper by Rebecca Herzog and Till M Berger and Martje Gesine Pauly and Honghu Xue and Elmar Rueckert and Alexander Munchau and Tobias Bäumer and Anne Weissbach on “Cerebellar…Read More

Journal Paper Accepted at Applied Sciences MDPI
Journal Paper Accepted at Applied Sciences MDPI

The paper by Honghu Xue and Benedikt Hein and Mohamed Bakr and Georg Schildbach and Bengt Abel and Elmar Rueckert on “Using Deep Reinforcement Learning with Automatic Curriculum Learning for…Read More

More news on Professor Rueckert’s page.