To effectively improve system autonomy, increase fault-tolerant resilience, solve low payload
capacity and short endurance time of unmanned surface vehicles (USVs), there's a trend to …

In this article, a novel reinforcement learning-based optimal tracking control (RLOTC)
scheme is established for an unmanned surface vehicle (USV) in the presence of complex …

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

Autonomous pilot is crucial in integrally promoting the autonomy of an unmanned surface
vehicle (USV). However, the integration mechanism of decision and control is still unclear …

In this article, for a marine aerial-surface heterogeneous (MASH) system composed by a
quadrotor unmanned aerial vehicle (UAV) and an unmanned surface vehicle (USV) with …

This paper presents a dynamically hybrid path planning scheme incorporating the global
guidance, real-time motion planning and collision-free maneuvering for Unmanned Surface …

In the past decade, intelligent technologies have advanced rapidly, particularly due to
improvements in automatic control, which have had a significant impact on forestry, as well …

Path planning is crucial for several applications, including those in industrial facilities,
network traffic, computer games, and agriculture. Enabling automated path-planning …

This paper examines a trajectory homotopy optimization framework for multiple unmanned
aerial vehicles (multi-UAV) to solve the problem of dynamic penetration mission planning …

This paper is devoted to solving autonomous navigation for unmanned surface vessels
(USVs) in unknown environments. To overcome the deficiency of the “first planning then …