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Thomas M. C. Sears

2 accepted papers

2023

Mapping Waves with an Uncrewed Surface Vessel via Gaussian Process Regression

ICRA 2023poster

Mobile robots are well suited for environmental surveys because they can travel to any area of interest and react to observations without the need for pre-existing infrastructure or significant setup time. However, vehicle motion constraints limit where and when measurements occur. This is challengi…

Cited by 3SourceScholar
2022

Mapping of Spatiotemporal Scalar Fields by Mobile Robots using Gaussian Process Regression

IROS 2022poster

Spatiotemporal maps are data-driven estimates of time changing phenomena. For environmental science, rather than collect data from an array of static sensors, a mobile sensor platform could reduce setup time and cost, maintain flexibility to be deployed to any area of interest, and provide active fe…

Cited by 6SourceScholar