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 …

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 …

Robotic systems are increasingly being utilized as fundamental data-gathering tools by
scientists, allowing new perspectives and a greater understanding of the planet and its …

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

To find the path that minimizes the time to navigate between two given points in a fluid flow
is known as Zermelo's problem. Here, we investigate it by using a Reinforcement Learning …

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 …

Autonomous mobile robots are increasingly employed to take measurements for
environmental monitoring, but planning informative, measurement‐rich paths through large …

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 …

Environmental monitoring with mobile robots requires solving the informative path planning
problem. A key challenge is how to compute a continuous path over space and time that will …

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