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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.

Forthcoming Event for the General Public

Visit us on the 20th of October 2023. 

Immerse yourself in the fascinating world of artificial intelligence and robotics. We present self-learning robots, mobile robot guides and how deep neural networks are learned. Children can experiment with our Lego EV3 robots and try to deliver snacks autonomously. Catering will be provided.

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

August 25, 2023

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

July 10, 2023

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

June 19, 2023

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  

April 17, 2023

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.

March 13, 2023

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

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

More news on Professor Rueckert’s page.