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 …

Abstract Underwater Mobile Sensor Network (UWMSN) has marked a new era in ocean
observation systems involving large scale ocean phenomena monitoring applications …

Path planning and trajectory design for autonomous underwater vehicles (AUVs) is of great
importance to the oceanographic research community because automated data collection is …

Harmful algal blooms (HABs) are extreme biological events with the potential for extensive
negative impacts to fisheries, coastal ecosystems, public health, and coastal economies. In …

Abstract Autonomous Surface Vehicles require path planning to navigate among complex
shorelines and spatio-temporal environmental forces such as water currents. Path planning …

We present a path planning method for autonomous underwater vehicles in order to
maximize mutual information. We adapt a method previously used for surface vehicles, 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 …

Efficient sampling of coastal ocean processes, especially mechanisms such as upwelling
and internal waves and their influence on primary production, is critical for understanding …

Data collection using Autonomous Underwater Vehicles (AUVs) is increasing in importance
within the oceanographic research community. Contrary to traditional moored or static …

We propose an integrated learning and planning framework that leverages knowledge from
a human user along with prior information about the environment to generate trajectories for …