The underwater path planning problem deals with finding an optimal or sub-optimal route
between an origin point and a termination point in marine environments. The underwater …

This paper aims to solve the path following problem for an underactuated unmanned-
surface-vessel (USV) based on deep reinforcement learning (DRL). A smoothly-convergent …

Unmanned merchant ships are ships that carry goods and engage in commercial activities
without manual operations on board. In contrast to traditional merchant ships, unmanned …

Path planning is one of the key issues in the research of unmanned aerial vehicle
technology. Its purpose is to find the best path between the starting point and the destination …

The Artificial Potential Field (APF) method is a classical path planning method for unmanned
ships, relying on Global Positioning System (GPS) positioning information for path planning …

Autonomous underwater vehicle (AUV) path planning in complex marine environments
meets many chanllenges, such as many influencing factors, complex models and the …

We consider an unmanned surface vehicle (USV) whose mission is to approach a
maneuvering target ship as fast as possible followed by monitoring the target closely. The …

The predictive uncertainty of ocean currents needs to be considered in the path planning of
autonomous underwater vehicles (AUV) in oceanic environments. An interval optimization …

This work presents a framework aimed at mitigating adverse effects of high-amplitude drone
noise ranging from hearing loss to reduced productivity in human–robot collaborative …

For planning a robot's path inside a large building with one or more elevators, we develop a
topological map, called the building Voronoi graph. Using the building Voronoi graph, the …