The small battery capacities of the mobile robot and the un-optimized planning efficiency of
the industrial robot bottlenecked the time efficiency and productivity rate of coverage tasks in …

Path planning is important to the efficiency and navigation safety of USV autonomous
operation offshore. To improve path planning, this study proposes the improved ant colony …

The path planning of the autonomous underwater vehicle (AUV) has shown great potential
in various Internet of Underwater Things (IoUT) applications. Although considerable efforts …

The basic fuzzy neural network algorithm has slow convergence and large amount of
calculation, so this paper designed a particle swarm optimization trained fuzzy neural …

Agricultural robots are one of the important means to promote agricultural modernization
and improve agricultural efficiency. With the development of artificial intelligence technology …

The berthing of maritime autonomous surface ships (MASSs) is a challenging operation
even for an experienced captain due to the required complicated maneuvering at low …

To eliminate the effect of ocean currents when addressing the optimal path in the
underwater environment, an intelligent algorithm designed for the unmanned underwater …

The new generation of artificial intelligence technology has improved the autonomous
monitoring capabilities of marine equipment. The ocean monitoring platform based on edge …

The main emphasis of this work is placed on the problem of collaborative coverage path
planning for unmanned surface mapping vehicles (USMVs). As a result, the collaborative …

The existing variants of the rapidly exploring random tree (RRT) cannot be effectively
applied in local path planning of the autonomous vehicle and solve the coherence problem …