David Schipf

Papers

Total Citations

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About

David Schipf is a researcher whose work sits at the intersection of underwater robotics, 3D imaging, and haptic feedback systems. His primary research areas include underwater depth perception, point cloud imaging, and the development of specialized camera systems for subsea environments. Schipf’s major contribution lies in adapting commercial Time of Flight (ToF) and structured light depth cameras for underwater use—a challenging task due to light absorption and scattering in water. His most-cited paper, “Using a Time of Flight method for underwater 3-dimensional depth measurements and point cloud imaging” (2014, 11 citations), demonstrated that a modified ToF camera could successfully generate 3D depth data and point clouds underwater, enabling robotic navigation and haptic feedback. This work was further extended in his study “Underwater camera with depth measurement” (2016, 2 citations), where he developed an RGB-D camera system specifically for haptic feedback in a robotic underwater ordnance recovery system. Though his citation counts are modest, Schipf’s research is notable for its practical engineering focus, directly addressing real-world challenges in underwater robotics and remote manipulation.