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The objective of this project is to develop AQUATIC DRONE TECHNOLOGY DESIGNED FOR BETTER OYSTERS AND HEALTHY BOTTOM LINES
The objective of this project is to develop AQUATIC DRONE TECHNOLOGY DESIGNED FOR BETTER OYSTERS AND HEALTHY BOTTOM LINES
The goal of S3AM is to advance aquaculture farming techniques and cut costs, while growing production and farm profits.
The S3AM project is a partnership between academia, non-profits, extension networks, and commercial aquaculture across three coastal regions. Together, these stakeholders will work together throughout S3AM development—including field trials, economic studies, and implementation—to increase oyster production regionally and nationally.
Project Personell: Kaustubh Joshi, Tianchen Liu
We work with our collaborators across the country on the following objectives:
Pose Estimation & Control
Pose Estimation & Control
Aquaculture environments have high turbidity so visual odometry is a challenge for localization. We work on developing nonlinear observers to estimate pose of a robot in GPS-denied and low visibility environments.
Learning-based Navigation
Learning-based Navigation
3D Mapping & Reconstruction
3D Mapping & Reconstruction
Recent Publications
Recent Publications
3D Water Quality Map using InEKF for ROV Localization
3D Water Quality Map using InEKF for ROV Localization
IROS 2024: Workshop on Autonomous Robotic Systems in Aquaculture: Research Challenges and Industry Needs
Received Best Paper Award for "Best Control Framework for Autonmous Navigation & Control"
UIVNav: Underwater information-driven vision-based navigation via imitation learning
ICRA 2024
In collaboration with Perception & Robotics Group, UMD
Project Videos
Project Videos
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