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A team-built autonomous vessel for mapping nitrate, oxygen, pH, and temperature across Chesapeake Bay. I worked on the ArduPilot/OpenPlotter navigation stack, sensor integration, and early neural-network models for dead-zone prediction. The project reached splash testing and helped secure a U.S. Coast Guard research grant.
I joined this project in its early research phase, right after an autonomous RC remake of Chesapeake Bay's Mr. Trash system. The goal was a persistent autonomous vessel that could map dead zones and nitrate flow, collecting nitrate, oxygen, pH, and temperature data without manual sampling. The team built the navigation and mission-control stack on ArduPilot and OpenPlotter, drafted data formats for waypoint missions, and built motor-control interfaces for the onboard computer. We also built neural-network pipelines for nitrate detection and dead-zone prediction. The system went from simulation to splash tests with active radar tracking and instrument validation. That progress helped secure a U.S. Coast Guard research grant, which expanded testing.
The team built the navigation and mission-control stack on ArduPilot and OpenPlotter, drafted data formats for waypoint missions, and built motor-control interfaces for the onboard computer. We also built neural-network pipelines for nitrate detection and dead-zone prediction.
The system went from simulation to splash tests with active radar tracking and instrument validation. That progress helped secure a U.S. Coast Guard research grant, which expanded testing.
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