Abstract Automatic Identification System (AIS) data holds immense research value in the
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …

Due to the complex environment and variable demands, unmanned surface vessel (USV)
task assignment and path planning have received much attention from academia and …

The increasing attention and rapid development of intelligent ship technologies makes it
possible to real applications to merchant ship**s. The mixture of conventional and …

Reinforcement learning has the characteristics of simple structure and strong adaptability,
which has been widely used in the field of ship autonomous collision avoidance. In order to …

With the development of Maritime Autonomous Surface Ships (MASS), considerable
research is undertaken to secure their safety. One of the critical aspects of MASS is collision …

Autonomous systems are becoming ubiquitous and gaining momentum within the marine
sector. Since the electrification of transport is happening simultaneously, autonomous …

We present a reinforcement learning-based (RL) model predictive control (MPC) method for
trajectory tracking of surface vessels. The proposed method uses an MPC controller in order …

Most modeling approaches lie in either of the two categories: physics‐based or data‐driven.
Recently, a third approach which is a combination of these deterministic and statistical …

In the ship** digitalisation process, the peak will be reached with the advent of a wholly
autonomous and at the same time safe and reliable ship. Full autonomy could be obtained …

A growing interest in develo** autonomous surface vehicles (ASVs) has been witnessed
during the past two decades, including COLREGs-compliant navigation to ensure safe …