3 papers
cs.RO2025
Obstacle Avoidance using Dynamic Movement Primitives and Reinforcement Learning
Dominik Urbaniak, Alejandro Agostini, Pol Ramon +3
Learning-based motion planning can quickly generate near-optimal trajectories. However, it often requires either large training datasets or costly collection of human demonstration…
eess.SP2025
Mathematical Approach in Hybrid Beamforming for ISAC Systems
Keivan Khosroshahi, Michael Suppa
This document serves as supplementary material for a journal paper submission, presenting detailed mathematical proofs and derivations that support the results outlined in the main…
eess.SP2025
Localization Accuracy Improvement in Multistatic ISAC with LoS/NLoS Condition using 5G NR Signals
Keivan Khosroshahi, Philippe Sehier, Sami Mekki +1
Integrated sensing and communication (ISAC) is anticipated to play a crucial role in sixth-generation (6G) mobile communication networks. A significant challenge in ISAC systems is…