Recently, there has been growing interest in developing Autonomous Underwater Vehicle
(AUV) to operate for longer mission durations as well as with higher levels of autonomy. This …

Autonomous underwater vehicles (AUVs) are unmanned marine robots that have been used
for a broad range of oceanographic missions. They are programmed to perform at various …

A full‐scale adaptive ocean sampling network was deployed throughout the month‐long
2006 Adaptive Sampling and Prediction (ASAP) field experiment in Monterey Bay …

We examine the problem of utilizing an autonomous underwater vehicle (AUV) to collect
data from an underwater sensor network. The sensors in the network are equipped with …

Ocean processes are dynamic and complex and occur on multiple spatial and temporal
scales. To obtain a synoptic view of such processes, ocean scientists collect data over long …

Recent advances in Autonomous Underwater Vehicle (AUV) technology have facilitated the
collection of oceanographic data at a fraction of the cost of ship‐based sampling methods …

We develop and illustrate an efficient but rigorous methodology that predicts the time-
optimal paths of ocean vehicles in continuous dynamic flows. The goal is to best utilize or …

We develop an accurate partial differential equation-based methodology that predicts the
time-optimal paths of autonomous vehicles navigating in any continuous, strong, and …

Robotic sampling is attractive in many field robotics applications that require persistent
collection of physical samples for ex-situ analysis. Examples abound in the earth sciences in …

This article presents a robust nonlinear model predictive control (NMPC) scheme for
autonomous navigation of underwater robotic vehicles operating in a constrained …