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cs.CV2025
Evaluation of Polarimetric Fusion for Semantic Segmentation in Aquatic Environments
Luis F. W. Batista, Tom Bourbon, Cedric Pradalier
Accurate segmentation of floating debris on water is often compromised by surface glare and changing outdoor illumination. Polarimetric imaging offers a single-sensor route to miti…
cs.RO2025
Evaluating Robustness of Deep Reinforcement Learning for Autonomous Surface Vehicle Control in Field Tests
Luis F. W. Batista, Stéphanie Aravecchia, Seth Hutchinson +1
Despite significant advancements in Deep Reinforcement Learning (DRL) for Autonomous Surface Vehicles (ASVs), their robustness in real-world conditions, particularly under external…
cs.RO2025
RoboRAN: A Unified Robotics Framework for Reinforcement Learning-Based Autonomous Navigation
Matteo El-Hariry, Antoine Richard, Ricard M. Castan +4
Autonomous robots must navigate and operate in diverse environments, from terrestrial and aquatic settings to aerial and space domains. While Reinforcement Learning (RL) has shown…