Daniel Van Passen

Papers

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About

Daniel Van Passen is pioneering the future of autonomous underwater robotics, with a sharp focus on solving one of the field’s most stubborn challenges: reliable, low-power localization. His landmark work introduces “Pisces,” a non-intrusive 3D localization system that leverages Angle of Arrival (AoA) principles to free Autonomous Underwater Vehicles (AUVs) from their dependence on GPS-denied environments. This breakthrough directly addresses the fundamental limitations that have long hindered underwater navigation, offering a path toward more persistent and energy-efficient deep-sea operations. While his most-cited paper has already garnered early attention with 2 citations, the true impact of Van Passen’s research lies in its potential to reshape how AUVs explore and monitor our oceans. By prioritizing both accuracy and energy conservation, his contributions are laying the groundwork for longer-duration missions in marine science, offshore industry, and environmental monitoring. Van Passen stands at the intersection of robotics and signal processing, driving innovation that promises to unlock the vast, unexplored depths of our planet.