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The Chair of Cyber-Physical-Systems

The Chair of Cyber-Physical-Systems at the Montanuniversität Leoben in Austria is headed 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).

Or have a look at this presentation of our research.

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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

January 13, 2023

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

September 29, 2022

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

September 29, 2022

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

September 20, 2022

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

March 17, 2022

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

March 1, 2022

Successful grant

Successful grant

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

October 6, 2021

Conference Paper accepted at ICAR 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

September 14, 2021

Journal Paper accepted at Frontiers in Robotics and AI

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

July 20, 2021

Conference Paper accepted at ECMR 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

May 7, 2021

Conference Paper accepted at HUMANOIDS 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

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..Read More

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 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..Read More

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..Read More

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.

More news on Professor Rueckert’s page.