RAS – poster session papers

  1. 3D Hybrid Localization from Object Detection Lines – Rafał Staszak
  2. 3D Object Reconstruction from a Single Depth View — Comparative Study – Rafał Staszak, Dominik Belter, Jakub Chudzinski, Marek Kopicki, Piotr Michałek
  3. A Reinforcement Learning Framework for Motion Planning of Autonomous Vehicles – Paweł Skruch, Mateusz Orłowski
  4. BDOT10k-seg: A Dataset for Semantic Segmentation – Aleksandra Kos, Karol Majek
  5. Beacon-based swarm search and rescue – Sunil Ratnayake, Maksym Figat
  6. Can learning mainly from good examples increase sample efficiency in deep reinforcement learning? – Fatina L. Basmadji
  7. Evolution of Robotic System Specification Methodology – Maksym Figat, Cezary Zielinski
  8. Fast Constrained Kinodynamic Neural Motion Planning – Piotr Kicki, Puze Liu, Davide Tateo, Krzysztof Walas, Piotr Skrzypczynski, Jan Peters
  9. Improving RGB-D visual odometry with depth learned from a better sensor’s output – Aleksander Kostusiak
  10. Intelligent Anticipatory Mobile Robot Networks – Andrzej M.J. Skulimowski
  11. Multitask learning for joint semantic segmentation and scene recognition – Maciej Stefańczyk, Piotr Hondra, Łukasz Tumialis
  12. NeRF-based RGB-D Images Generation in Robotics – Experimental Study Bartłomiej Kulecki, Dominik Belter
  13. On the Importance of the RGB-D Sensor Model in the CNN-based Robotic Perception – Mikołaj Zieliński, Dominik Belter
  14. Predictive User Interface for emerging experiences – Paweł Kapusta, Piotr Duch
  15. Relative Bluetooth Low Energy Localization System with Neural Network Optimization – Barbara M Morawska, Krzysztof Lichy, Antoni Karwowski
  16. Robot Task Management Training Toolchain – Wojciech Dudek, Daniel Giełdowski, Maciej Stefańczyk, Tomasz Winiarski
  17. Semi-formal methods for security informed safety assessment of robotic systems – Vyacheslav Kharchenko, Artem Abakumov, Sergey Yakovlev
  18. Support to an Autonomous System by the Operator when solving complex problems – Wojciech Moczulski
  19. Using Publicly Available Building Data to Improve 3D Map – Krzysztof Krygiel, Karol Majek, Janusz Bedkowski
  20. WiFi indoor localization improvement using averaging with pedestrian dead reckoning movement compensation – Marcin Leplawy