Hybrid Aerial/Underwater Robotic System for Scalable, Adaptable Maintenance of Aquaculture Fish Farms


Aquaculture is a robust method for food production, but the field faces challenges that compel innovation to ensure its sustainability. Currently there is a need for advanced monitoring and feeding technology to create more sustainable growth conditions. To make monitoring easier and more efficient, researchers at FAU developed a novel autonomous water collection and water-quality testing platform. This system can conduct automated sampling at frequencies relevant for accurate prediction of water quality. It enables collaborative monitoring and decision-making using aero-amphibious robotic sensing platforms capable of air, land and water movements and integrated underwater sensors.

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For Information, Contact:
Dana Vouglitois
Florida Atlantic University
Bing Ouyang
Paul Wills
Jason Hallstrom
Martin Riche
Tsung-Chow Su
Peter Reiff
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