The increasing use and implementation of Autonomous Surface Vessels (ASVs) for various
activities in maritime environments is expected to drive a rise in developments and research …

In this paper, self-organizing a swarm of unmanned surface vehicles (USVs) is creatively
solved by optimal reinforcement learning control approach without acquiring USV dynamics …

With the significant role that Unmanned Surface Vessels (USVs) could play in industry, the
military and the transformation of ocean engineering, a growing research interest in USVs is …

Abstract Active Object Tracking (AOT) aims to maintain a specific relation between the
tracker and object (s) by autonomously controlling the motion system of a tracker given …

The formation of multiple Unmanned Surface Vehicles (USVs) is an effective way to extend
the capabilities of a single USV to satisfy relatively complex tasks in practice. In this study …

Reinforcement learning has been widely used for unmanned surface vehicle (USV) control
tasks. However, the requirement of numerous training samples limits its transferability to new …

Autonomous marine vehicles, which provide a platform for the successful implementation of
special tasks, such as maritime rescue, maritime measurement, and dangerous goods …

This paper presents a multi-agent reinforcement learning (MARL) scheme for proactive Multi-
Camera Collaboration in 3D Human Pose Estimation in dynamic human crowds. Traditional …

This paper investigates the defense penetration problem for unmanned surface vehicle
(USV) with limited detection range under unknown defenders. A novel end-to-end defense …

This study introduces a method for formation control and obstacle avoidance for multiple
unmanned surface vehicles (USVs) by combining an artificial potential field with the virtual …