3 papers
cs.LG2024
Variational Autoencoders for exteroceptive perception in reinforcement learning-based collision avoidance
Thomas Nakken Larsen, Eirik Runde Barlaug, Adil Rasheed
Modern control systems are increasingly turning to machine learning algorithms to augment their performance and adaptability. Within this context, Deep Reinforcement Learning (DRL)…
cs.RO2023
Modular Control Architecture for Safe Marine Navigation: Reinforcement Learning and Predictive Safety Filters
Aksel Vaaler, Svein Jostein Husa, Daniel Menges +2
Many autonomous systems face safety challenges, requiring robust closed-loop control to handle physical limitations and safety constraints. Real-world systems, like autonomous ship…
cs.RO2021
Risk-based implementation of COLREGs for autonomous surface vehicles using deep reinforcement learning
Thomas Nakken Larsen, Amalie Heiberg, Eivind Meyer +3
Autonomous systems are becoming ubiquitous and gaining momentum within the marine sector. Since the electrification of transport is happening simultaneously, autonomous marine vess…