Our joint proposal on “Sustainable use of excavated materials from civil engineering and tunnel construction using sensor-based technologies” was granted by the  Austrian Research Promotion Agency (FFG). The project starts in 2024. Two Ph.Ds will be hired and jointly supervised with the chair of subsurface engineering and the chair of waste recycling technology and waste management.  More at https://cps.unileoben.ac.at/nachhaltige-nutzung-von-aushubmaterialien-des-tief-tunnelbaus-mithilfe-sensorgestutzter-technologien-nnatt/ .

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 Technology (ACAIT), IEEE.

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 for publication at the International Conference on System Theory, Control and Computing (ICSTCC), October 11-13, 2023. Timisoara, Romania.

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  

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.

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 Region (RAAD 2023), 2023.

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 CPS will hire Ph.D. for three years to work on this project.

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 accepted for publication at the International Conference on Humanoid Robots (Humanoids 2022), 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), 2022.

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 transcranial current stimulation-an intraindividual comparison of different techniques” was published in the journal Frontiers in Neuroscience.