Abstract Autonomous Underwater Vehicles (AUVs) have been focused on by research
efforts because of their extensive applications in scientific, commercial as well as military …

Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …

Robots have the potential to assist and complement humans in the study and exploration of
extreme and hostile environments. For example, valuable scientific data have been …

Autonomous underwater vehicles (AUVs) have been widely employed in ocean survey,
monitoring, and search and rescue tasks for both civil and military applications. It is …

Autonomous vehicles are becoming an essential tool in a wide range of environmental
applications that include ambient data acquisition, remote sensing, and mapping of the …

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 …

In this paper, a hybrid Voronoi-based ant colony optimization (V-ACO) technique for multiple
autonomous marine vehicles (AMVs) is proposed to solve adaptive ocean sampling …

The sensor technology for water quality monitoring (WQM) has improved during recent
years. The cost-effective sensorised tools that can autonomously measure the essential …

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

This paper investigates the problem of region tracking control with prescribed transient
performance for autonomous underwater vehicles (AUVs) in presence of ocean current and …