This brief presents a novel nonlinear adaptive line-of-sight (ALOS) guidance law for path
following, compensating for drift forces due to wind, waves, and ocean currents. The ALOS …

Ship motion planning is a core issue of autonomous navigation for maritime autonomous
surface ships (MASS). This paper proposes a novel model predictive artificial potential field …

Autonomous ships are vulnerable to a spectrum of potential faults, including propeller
damage, shaft-line failures, and electrical supply disruptions. Swift fault detection is critical to …

This paper presents a 3-D adaptive line-of-sight (ALOS) path-following algorithm for
autonomous vehicles, marine craft, and aircraft. The origins of the cross-and vertical-track …

This paper presents a robust nonlinear model predictive control (NMPC) scheme for the
dynamic positioning (DP) ship subject to time-varying environmental disturbances and input …

This paper presents an approach to improve the reliability and efficiency of autonomous
surface vessels (ASV) by leveraging predictive digital twin and state estimation techniques …

The marine robotics community is lacking a high quality simulator for doing scientific
research, especially when it comes to testing control and vision algorithms in realistic …

In recent years, there has been a rapid growth in Underwater Wireless Sensor Networks
(UWSNs). The focus of research in this area is now on solving the problems associated with …

The application of floating wind turbines is limited by the high cost that increases with the
water depth. Offshore installation and maintenance continue to consume a high percentage …

A novel adaptive unscented Kalman filter (AUKF) is presented and applied to ship dynamic
positioning (DP) system with model uncertainties of time-varying noise statistics, model …