EPSCoR Blooms

Designing low-cost robots and high performance methods for environment monitoring.

The EPSCOR blooms project is a cross-site, NSF-Funded research project that aims at developing low-cost robots and high performance algorithms that enable sustainable water quality monitoring. Guided by limnologists, roboticists design robotic equipment that automates the traditional approach of monitoring aquatic processes to enable high temporal and spatial resolution sampling. For details please visit the EPSCOR blooms page and related research work.

References

2023

  1. MRS 2023
    Multi-Robot Adaptive Sampling based on Mixture of Experts Approach to Modeling Non-Stationary Spatial Fields
    Kizito Masaba, and Alberto Quattrini Li
    IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS), Boston, MA USA, 2023

2021

  1. MRS 2021
    GVGExp: Communication-Constrained Multi-Robot Exploration System based on Generalized Voronoi Graphs
    Kizito Masaba, and Alberto Quattrini Li
    IEEE International Symposium on Multi-Robot and Multi-Agent Systems (MRS), Cambridge, UK, 2021