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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.

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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

Successful grant
Successful grant
March 1, 2022

Our grant application for building an AI Robot Lab was funded. We will set up an industrial robot learning lab with two universal robotics UR3e arms, two FANUC CRX10iA robot…Read More

Conference Paper accepted at ICAR 2021
October 6, 2021

The paper on A high-accuracy, low-budget Sensor Glove for Trajectory Model Learning by Robin Denz*, Rabia Demirci, Mehmet Ege Cansev, Adna Bliek, Beckerle Beckerle, Elmar Rueckert and Nils Rottmann was accepted…Read More

Journal Paper accepted at Frontiers in Robotics and AI
September 14, 2021

Xue Honghu, Herzog Rebecca, Berger Till M., Bäumer Tobias, Weissbach Anne and Rueckert Elmar published the article on “Using Probabilistic Movement Primitives in Analyzing Human Motion Differences Under Transcranial Current…Read More

Conference Paper accepted at ECMR 2021
July 20, 2021

The paper by Nils Rottmann, Robin Denz, Ralf Bruder and Elmar Rueckert on “Probabilistic Approach for Complete Coverage Path Planning with low-cost Systems” was accepted at the European Conference on…Read More

Conference Paper accepted at HUMANOIDS 2021
May 7, 2021

The paper by Marko Jamsek, Tjasa Kunavar, Urban Bobek, Elmar Rueckert and Jan Babic on Predictive exoskeleton control for arm-motion augmentation based on probabilistic movement primitives combined with a flow…Read More

Journal paper of the DFG TRAIN project team accepted
March 11, 2021

The paper on “Interactive Human-Robot Skill Transfer: A Review of Learning Methods and User Experience” by Mehmet Ege Cansev, Honghu Xue, Nils Rottmann, Adna Bliek, Luke E. Miller, Elmar Rueckert…Read More

Journal Paper accepted at IEEE RA-L
March 11, 2021

The paper on “SKID RAW: Skill Discovery from Raw Trajectories”, by Daniel Tanneberg, Kai Ploeger, Elmar Rueckert, Jan Peters was accepted for publication at IEEE Robotics and Automation Letters(RA-L).

Journal Paper accepted at IEEE RA-L
March 11, 2021

The paper “Predictive exoskeleton control for arm-motion augmentation based on probabilistic movement primitives combined with a flow controller” by Marko Jamsek and Tjasa Kunavar and Urban Bobek and Elmar Rueckert…Read More

1st of March 2021 Starting as Chair of the Cyber-Physical-Systems Lab at Leoben
March 3, 2021

With March 1st, 2021, Prof. Rueckert chairs the Cyber-Physic al-Systems Institute at the Montanuniversität in Leoben, Austria. This new Institute will focus on robotics and machine learning research and will…Read More

Successful Graduation of Daniel Tanneberg
December 3, 2020

Congratulations to Daniel Tanneberg for completing his PhD. He is the first graduate of Prof. Elmar Rueckert’s group.

Journal Paper accepted at IEEE Sensors Journal
October 20, 2020

Nils Rottmann, Ralf Bruder, Achim Schweikard, Elmar Rueckert A novel Chlorophyll Fluorescence based approach for Mowing Area Classification accepted (Oct, 12th 2020) at IEEE Sensors Journal with an Impact Factor of 3…Read More

Conference Paper Accepted at IEEE Sensors
August 28, 2020

The paper by  Nils Rottmann, Ralf Burder, Achim Schweikard und Elmar Rueckert on Exploiting Chlorophyll Fluorescense for Building Robust low-Cost Mowing Area Detectors was accepted for publication at the IEEE…Read More

Conference Paper accepted at BMT2020
July 16, 2020

The paper by Tolga-Can Çallar, Elmar Rueckert and Sven Böttger on “Efficient Body Registration Using Single-View Range Imaging and Generic Shape Templates” was accepted for publication in the 54th Annual…Read More

Workshop accepted at IROS 2020
July 16, 2020

Our workshop on „New Horizons for Robot Learning“ was accepted at the  International Conference on Intelligent Robots and Systems (IROS’ 2020). See https://iros.ai-lab.science

Conference Paper accepted at IROS 2020
July 9, 2020

The paper by Nils Rottmann, Tjaša Kunavar, Jan Babič, Jan Peters and Elmar Rueckert on “Learning Hierarchical Acquisition Functions for Bayesian Optimization” was accepted for publication at the International Conference…Read More

More news on Professor Rueckert’s page.