3 accepted papers
This letter studies how global dynamics and knowledge of high-level features can inform decision-making for robots in flow-like environments. Specifically, we investigate how coherent sets, an environmental feature found in these environments, inform robot awareness within these scenarios. The propo
This work presents an asynchronous multi-robot adaptive sampling strategy through the synthesis of an intermittently connected mobile robot communication network. The objective is to enable a team of robots to adaptively sample and model a nonlinear dynamic spatiotemporal process. By employing an in…
This letter presents a strategy to enable a team of mobile robots to adaptively sample and track a dynamic process. We propose a distributed strategy, where robots collect sparse sensor measurements, create a reduced-order model of a spatio-temporal process, and use this model to estimate field valu