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 …

A robust adaptive fuzzy neural network control (RAFNNC) algorithm is proposed based on a
generalized dynamic fuzzy neural network (GDFNN), proportion–integral–differential (PID) …

Finite-time Lyapunov exponents (FTLEs) provide a powerful approach to compute time-
varying analogs of invariant manifolds in unsteady fluid flow fields. These manifolds are …

Pursuing a drifting target in a turbulent flow is an extremely difficult task whenever the
searcher has limited propulsion and maneuvering capabilities. Even in the case when the …

Ship intelligence has been a hot topic in recent years. How to achieve autonomous
maneuvers in a complex marine environment in a safe, efficient, and low-cost manner is a …

We present theory and experiments demonstrating the existence of invariant manifolds that
impede the motion of microswimmers in two-dimensional fluid flows. One-way barriers are …

A bounded cost path planning method is developed for underwater vehicles assisted by a
data-driven flow modeling method. The modeled flow field is partitioned as a set of cells of …

Abstract Unmanned Aerial Vehicles, often called drones, have rapidly emerged for
commercial and personal use in recent years. Drones are a promising and effective …

Intelligent mobile sensors, such as uninhabited aerial or underwater vehicles, are becoming
prevalent in environmental sensing and monitoring applications. These active sensing …

An ensemble-based approach is developed to conduct optimal path planning in unsteady
ocean currents under uncertainty. We focus our attention on two-dimensional steady and …