Abstract Purpose of Review The era of robotics-based environmental monitoring has given
rise to many interesting areas of research. A key challenge is that robotic platforms and their …

Autonomous underwater vehicles (AUVs) are cost-and time-efficient systems for
environmental sampling. Informative adaptive sampling has been shown to be an effective …

Mobility-on-demand (MoD) systems have recently emerged as a promising paradigm of one-
way vehicle sharing for sustainable personal urban mobility in densely populated cities. We …

A big challenge in environmental monitoring is the spatiotemporal variation of the
phenomena to be observed. To enable persistent sensing and estimation in such a setting, it …

This paper explores the use of autonomous underwater vehicles (AUVs) equipped with
sensors to construct water quality models to aid in the assessment of important …

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 consider the problem of online distributed environmental modeling and adaptive
sampling for multi-robot sensor coverage, where a team of robots spread out over the …

Exploration is a crucial problem in safety of life applications, such as search and rescue
missions. Gaussian processes constitute an interesting underlying data model that …

Robotics has dramatically increased our ability to gather data about our environments,
creating an opportunity for the robotics and algorithms communities to collaborate on novel …

This paper presents a novel unifying framework of anytime sparse Gaussian process
regression (SGPR) models that can produce good predictive performance fast and improve …