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.
The paper on ‘The Conversation is the Command: Interacting with Real-World Autonomous Robot Through Natural Language‘ by Linus Nwankwo and Elmar Rueckert was accepted for publication the the International Conference on Human-Robot Interaction (HRI ’24 Companion) as late breaking results paper.
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.