This paper addresses adaptive coverage of a spatial field without prior knowledge. Our
application in this paper is to cover a region of the sea surface using a robotic boat, although …

This paper addresses distributed data sampling in marine environments using robotic
devices. We present a method to strategically sample locally observable features using two …

This work focuses on the observation of environmental phenomena that occur as spatial
distributions in two and three dimensions, using sensor-enabled mobile vehicle (ground, air …

Robots such as autonomous underwater vehicles (AUVs) and autonomous surface vehicles
(ASVs) have been used for sensing and monitoring aquatic environments such as oceans …

We present a novel method for planning 3D coverage paths for inspection of complex
structures on the ocean floor (such as seamounts or coral reefs) using an autonomous …

We present an experimental evaluation of various sampling path strategies for an
Autonomous Underwater Vehicle. Both systematic and stratified random sampling path …

This paper considers a spatial coverage problem in which a network of passive floating
sensors is used to collect samples in a body of water. We employ an iterative measurement …

A critical problem in planning sampling paths for autonomous underwater vehicles is
balancing obtaining an accurate scalar field estimation against efficiently utilizing the stored …

Robotic sensors are promising instruments for monitoring spatial phenomena. Oftentimes,
rather than aiming to achieve low prediction error everywhere, one is interested in …

A critical problem in planning sampling paths for autonomous underwater vehicles (AUVs) is
correctly balancing two issues. First, obtaining an accurate scalar field estimation and …