3 papers
cs.RO2026
Fuzzy Logic Theory-based Adaptive Reward Shaping for Robust Reinforcement Learning (FARS)
Hürkan Åahin, Van Huyen Dang, Erdi Sayar +2
Reinforcement learning (RL) often struggles in real-world tasks with high-dimensional state spaces and long horizons, where sparse or fixed rewards severely slow down exploration a…
cs.CV2026
Thermal Image Refinement with Depth Estimation using Recurrent Networks for Monocular ORB-SLAM3
Hürkan Åahin, Huy Xuan Pham, Van Huyen Dang +2
Autonomous navigation in GPS-denied and visually degraded environments remains challenging for unmanned aerial vehicles (UAVs). To this end, we investigate the use of a monocular t…
cs.CV2026
Edged USLAM: Edge-Aware Event-Based SLAM with Learning-Based Depth Priors
Åebnem Sarıözkan, Hürkan Åahin, Olaya Ãlvarez-Tuñón +1
Conventional visual simultaneous localization and mapping (SLAM) algorithms often fail under rapid motion, low illumination, or abrupt lighting transitions due to motion blur and l…