Path planning is a prerequisite for autonomous underwater vehicles to perform tasks
autonomously. Many shortest distance algorithms are applied, and ocean currents are …

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

Real‐time path planning for autonomous underwater vehicle (AUV) is a very difficult and
challenging task. Bioinspired neural network (BINN) has been used to deal with this problem …

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 …

As one of the commonly used vehicles for underwater detection, underwater robots are
facing a series of problems. The real underwater environment is large-scale, complex, real …

In this study, the online path planning problem for autonomous underwater vehicle, which is
constrained by the limited hardware computation and energy-carrying capabilities, is studied …

Autonomous underwater vehicle (AUV) shows great potential in the Internet of Underwater
Things (IoUT) system, in which the path planning algorithm plays a fundamental role …

This study proposes a path planning algorithm for marine vehicles based on machine
learning. The algorithm considers the dynamic characteristics of the vehicle and disturbance …

An autonomous underwater vehicle (AUV) is an economical and safe tool that is well-suited
for search, investigation, identification, and salvage operations on the sea floor. Path …

Recently, research on path planning for the autonomous underwater vehicles (AUVs) has
developed rapidly. Heuristic algorithms have been widely used to plan a path for AUV, but …