Our proposal, “Multi-modal, tactile-visual robotic gripping system for industrial applications” (German: “Multi-modale, taktile-visuelle Robotergreifsysteme für industrielle Anwendungen”), has been accepted for funding! Over the next three years, CPS will receive approximately half a million euros to develop cutting-edge robotic manipulation and grasping solutions, advancing innovation in industrial applications.
Our paper by Vedant Dave and Elmar Rueckert on ‘Skill Disentanglement in Reproducing Kernel Hilbert Space’ was accepted for publication at the AAAI Conference on Artificial Intelligence (AAAI 2025).
The paper by Simone Trimmel and Philipp Spörl and Daniela Haluza and Nagi Lashin and Thomas C. Meisel and Ulrike Pitha and Thomas Prohaska and Markus Puschenreiter and Elmar Rückert and Bernhard Spangl and Dominik Wiedenhofer and Johanna Irrgeher on ‘Green and blue infrastructure as model system for emissions of technology-critical elements‘ was published at the high impact (9.8 in 2022) journal Science of The Total Environment, 2024.
The research was an excellent example of our ongoing collaborations on interdisciplinary research at the Montanuniversität Leoben, Austria.
Our apprentice Kosmo talks about his experience at the chair of Cyber-Physical-Systems.
Read more: https://www.meinbezirk.at/leoben/c-wirtschaft/kosmo-hat-genau-das-gefunden-was-er-gesucht-hat_a6678309
The paper on ‘Semi-Autonomous Fast Object Segmentation and Tracking Tool for Industrial Applications‘ by Melanie Neubauer and Elmar Rueckert was accepted for publication in the International Conference on Ubiquitous Robots (UR 2024).
The paper on ‘M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation‘ by Fotios Lygerakis, Vedant Dave and Elmar Rueckert was accepted for publication in the International Conference on Ubiquitous Robots (UR 2024).
The paper on ‘Advancing Interactive Robot Learning: A User Interface Leveraging Mixed Reality and Dual Quaternions‘ by Nikolaus Feith and Elmar Rueckert was accepted for publication in the International Conference on Ubiquitous Robots (UR 2024).
The paper on ‘Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement‘ by Nikolaus Feith and Elmar Rueckert was accepted for publication in the International Conference on Ubiquitous Robots (UR 2024).
The paper by Kunavar, T., Jamšek, M., Avila-Mireles, E. J., Rueckert, E., Peternel, L., and Babič J. on “The Effects of Different Motor Teaching Strategies on Learning a Complex Motor Task” was published at Sensors (MDPI) in Feb. 2024.
The paper on ‘Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training‘ by Vedant Dave*, Fotios Lygerakis* and Elmar Rueckert was accepted for publication in the IEEE International Conference on Robotics and Automation (ICRA 2024). *Both authors contributed equally.