Confined and subterranean areas are common in many civilian and industrial sites,
although they are hazardous for humans given the presence of noxious gases, extreme …

Multi-robot systems are widely used in environmental exploration and modeling, especially
in hazardous environments. However, different types of robots are limited by different …

In this paper, we present an online adaptive planning strategy for a team of robots with
heterogeneous sensors to sample from a latent spatial field using a learned model for …

This paper presents a framework to enable a team of heterogeneous mobile robots to model
and sense a multiscale system. We propose a coupled strategy, where robots of one type …

Highlights A practical workflow for optimizing sampling tours for a team of surface and aerial
vehicles was developed. Proposed workflow considers unique sensing capabilities of …

Learning to predict or forecast spatiotemporal (ST) environmental processes from a sparse
set of samples collected autonomously is a difficult task from both a sampling perspective …

Adaptive sampling is important in robotic environmental monitoring, allowing a robot to
intelligently select sampling locations to build an informative model of a phenomenon of …

Adaptive sampling is important in robotic environmental monitoring, allowing a robot to
intelligently select sampling locations to build an informative model of a phenomenon of …