Aiming at the confrontation game problems between pursuit-evasion unmanned surface
vehicles under complex multi-obstacle environment, a pursuit-evasion game strategy is …

To improve the anti-disturbance and reliability performance for unmanned surface vehicles
subject to actuator faults and external disturbances, an adaptive event-triggered observer …

This paper addresses the challenge of Non-Homogeneous Patrolling for Autonomous
Surface Vehicles in non-homogeneous importance water environments with a dissimilar …

In this paper, a novel amplitude-limited reinforcement learning controller is proposed for fully
actuated autonomous underwater vehicles (AUVs) in the presence of the saturating …

This study aims to develop a weight-adjustment scheme for a double exponentially weighted
moving average (dEWMA) controller using deep reinforcement learning (DRL) techniques …

In uncertain marine environment, auxiliary sensors of the unmanned marine vehicle (UMV)
integrated navigation system may be abnormal at any time, reducing the navigation …

This study proposes a significant improvement on the classical vector field guidance law.
The classical vector field method results in an imaginary number in some cases. In the …

Most existing reinforcement learning (RL) algorithms are solely applied to scenarios with
pure discrete action space or pure continuous action space. However, in certain real-world …

Carrot chasing guidance law is one of the most widely used path following algorithms due to
its simplicity and ease of implementation; however, it has a fixed parameter which leads to …