Advancement in marine robotics adaptability, which is crucial for efficient task completion in
complex marine environments, is the central focus of contemporary research. This paper …

The majority of robotic vehicles that can be found today are bound to operations within a
single media (ie land, air or water). This is very rarely the case when considering locomotive …

With a wide use of AIS data in maritime transportation, there is an increasing demand to
develop algorithms to efficiently classify a ship's AIS data into different movements (static …

Most existing propeller-driven, cruising AUVs operate with a support ship and have an
endurance of about one day. However, many oceanographic processes evolve over days or …

Knowing the displacement capacity and mobility patterns of industrially exploited (ie, fished)
marine resources is key to establishing effective conservation management strategies in …

The deep chlorophyll maximum (DCM) layer is an ecologically important feature of the open
ocean. The DCM cannot be observed using aerial or satellite remote sensing; thus, in situ …

Robotic systems that can explore the sea floor, collect marine samples, gather shallow water
refuse, and perform other underwater tasks are interesting and important in several fields …

This paper presents a deep learning approach to aid dead-reckoning (DR) navigation using
a limited sensor suite. A Recurrent Neural Network (RNN) was developed to predict the …

Phytoplankton communities residing in the open ocean, the largest habitat on Earth, play a
key role in global primary production. Through their influence on nutrient supply to the …

Monterey Bay and contiguous waters of the California Current System have been observed
repeatedly since 1929, most intensively since 1989 with ships, moorings, and autonomous …