The Chair of Cyber-Physical-Systems

The Chair of Cyber-Physical-Systems at the Montanuniversität Leoben in Austria is lead by Prof. Elmar Rueckert.

The group’s research topics are  autonomous systems, machine and deep learning, embedded smart sensing systems and computational models.

Find out more about us here  (a recent post in German).

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


March 11, 2021

Journal paper of the DFG TRAIN project team accepted

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 and Philipp Beckerle was accepted for publication at the Advanced Intelligent Systems.

March 11, 2021

Journal Paper accepted at IEEE RA-L

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 and Jan Babic was accepted for publication at IEEE Robotics and Automation Letters (RA-L).

March 11, 2021

Journal Paper accepted at IEEE RA-L

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).

March 3, 2021

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

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 contribute to the data science master program.

December 3, 2020

Successful Graduation of Daniel Tanneberg

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

October 20, 2020

Journal Paper accepted at IEEE Sensors Journal

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 (2019).

More news on Professor Rueckert’s page.