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MIT Develops Algorithms That Enable Human-Robot Teaming Underwater

Ella Wawrzynek, Madeline Miller, and David Whelihan deploy their sensor-equipped AUV from the University of New Hampshire’s Gulf Surveyor into the Atlantic Ocean. Image: Tim Briggs/Lincoln Laboratory

The Massachusetts Institute of Technology (MIT) is making underwater operations easier for human-machine teams, unveiling a set of algorithms to improve coordination and perception in challenging environments.

Building on foundational work from the MIT Marine Robotics Group, a team led by principal investigator Madeline Miller developed a navigation algorithm that tracks a diver’s position relative to an autonomous underwater vehicle (AUV).

“With the algorithm demonstrated by MIT, the vehicle only needed to calculate the distance, or range, to the diver at regular intervals to solve the optimization problem of estimating the positions of both the vehicle and diver over time,” Miller said.

Read the full story on NextGen Defense: MIT Develops Algorithms That Enable Human-Robot Teaming Underwater

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