2 papers
cs.RO2026
Sim-to-reality adaptation for Deep Reinforcement Learning applied to an underwater docking application
Alaaeddine Chaarani, Narcis Palomeras, Pere Ridao
Deep Reinforcement Learning (DRL) offers a robust alternative to traditional control methods for autonomous underwater docking, particularly in adapting to unpredictable environmen…
cs.RO2025
Advancing Shared and Multi-Agent Autonomy in Underwater Missions: Integrating Knowledge Graphs and Retrieval-Augmented Generation
Michele Grimaldi, Carlo Cernicchiaro, Sebastian Realpe Rua +6
Robotic platforms have become essential for marine operations by providing regular and continuous access to offshore assets, such as underwater infrastructure inspection, environme…