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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

News

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 Mapless Navigation in Intralogistics” was accepted for publication at Applied Sciences MDPI.

March 1, 2022

Successful grant: Autonomes Industrieroboterlabor der Zukunft (AI-Robot-Lab)

Successful grant: Autonomes Industrieroboterlabor der Zukunft (AI-Robot-Lab)

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 arms a professional lathe from ELMAG a  drill milling machine from ELMAG and roller conveyor belt. Find out more at…

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 at the 20th International Conference on Advanced Robotics (ICAR), December 6-10, 2021, Ljubljana, Slovenia.

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 Stimulation” at the journal Frontiers in Robotics and AI in September 2021.

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 Mobile Robotics (ECMR).

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 controller was accepted at the IEEE-RAS 20th International Conference on Humanoid Robots (Humanoids).

More news on Professor Rueckert’s page.