Research Projects

Adaptive Sampling of Spatiotemporal Phenomena with Multi-Robot Teams

Multi-robot teams have emerging applications in environmental monitoring including tracking and predicting concentrations of hazardous chemicals, such as explosives or toxins in the atmosphere, or forecasting time series imagery of phenomena, such as weather patterns or species migration in oceans.

We design frameworks for  multi-robot systems to study how different actuation and sensing allows for rich distributed and adaptive tracking and inferencing of dynamic environments.

Publications and Presentations

Adaptive Sampling and Reduced-Order Modeling of Dynamic Processes by Robot Teams
paper   |   slides    |    video    |    poster

Heterogeneous Multi-Robot Systems for Modeling and Prediction of Multiscale Spatiotemporal Processes

paper   |   slides    |    video    |    poster