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
Archives
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.
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 Region (RAAD 2023), 2023.
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 CPS will hire Ph.D. for three years to work on this project.
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 accepted for publication at the International Conference on Humanoid Robots (Humanoids 2022), 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), 2022.
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 transcranial current stimulation-an intraindividual comparison of different techniques” was published in the journal Frontiers in Neuroscience.
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.
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 arms
- a professional lathe from ELMAG
- a drill milling machine from ELMAG and
- roller conveyor belt.
Find out more at https://cps.unileoben.ac.at/2022/03/08/ai-robot-lab/.
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.