The inspection of aquatic environments is a challenging activity, which is made more difficult
if the environment is complex or confined, such as those that are found in nuclear storage …

We present a research vision for deep learning (DL) in the oceans, collating applications
and use cases as well as identifying opportunities, constraints, and open research …

In fish farms, a major issue is the net cage wear, resulting in fish escapes and negative
impact on fish quality, due to holes and biofouling of the nets. To minimize fish losses …

Frequency shift chirp modulation (FSCM) is the modulation technique utilized by the LoRa
physical layer, a widely used and relatively new communication technique for radio low …

Confined and cluttered aquatic environments present a number of significant challenges
with respect to inspection by robotic platforms, including localisation and communications …

Long Range (LoRa) is a rising technology for low-power over-water wide area networks. In
this paper, we modify the physical layer (PHY) of the LoRa communication standard for use …

Exploration and monitoring of hazardous fields in marine environments is one of the most
promising tasks to be performed by fleets of low-cost micro autonomous underwater vehicles …

High-rate self-localization for agile navigation still constitutes a major bottleneck in micro
autonomous underwater vehicle (μAUV) research. Hereby, key challenges arise from the …

This paper introduces the conception, design, fabrication, and control of a modular remotely
operated underwater vehicle. It is an affordable submarine robot intended for inspection …

Commercial RGB-D cameras enable even small scale mobile robots with sophisticated and
cost-efficient 3D-scanning capabilities. We transfer this sensory concept to the domain of …