Learning for ASVs

Deep reinforcement learning for autonomous surface vessel control under disturnamces.

The complex nature of the ASV dynamics is an issue to develop mathematical models and design control systems. Since Deep Reinforcement Learning uses neural networks to learn a policy by interacting with its environment, how can they be applied for ASV autonomous behavior?

2023

  1. DRLICRA23.gif
    Deep Reinforcement Learning Based Tracking Control of an Autonomous Surface Vessel in Natural Waters
    Wei Wang, Xiaojing Cao, Alejandro Gonzalez-Garcia, and 5 more authors
    In 2023 IEEE International Conference on Robotics and Automation (ICRA), 2023
    DOI Video

2021

  1. NN.png
    Adaptive dynamic programming and deep reinforcement learning for the control of an unmanned surface vehicle: Experimental results
    Alejandro Gonzalez-Garcia, David Barragan-Alcantar, Ivana Collado-Gonzalez, and 1 more author
    Control Engineering Practice, 2021
    DOI

2020

  1. USV Path-Following Control Based On Deep Reinforcement Learning and Adaptive Control
    A Gonzalez-Garcia, H Castañeda, and L Garrido
    In Global Oceans 2020: Singapore – U.S. Gulf Coast, 2020
    DOI