Ben Garney
Papers
2
Total Citations
37
H-Index
2
About
Ben Garney’s research centers on robotic perception and mapping, with a particular focus on underground void modeling using range sensing technologies. His most influential work, a 2011 comparative evaluation of range sensing technologies for underground void modeling, has garnered 26 citations and stands as a key reference in the field. In this study, Garney systematically assessed a broad spectrum of range sensors—such as LIDAR and sonar—deployed on mobile robots to incrementally map tunnel environments and recover accurate scene geometry. The paper’s distinguishing contributions include a rigorous experimental framework that quantified sensor performance under challenging subterranean conditions, offering practical guidance for robotic exploration in mines, caves, and other confined spaces. By highlighting trade-offs in accuracy, range, and robustness, Garney’s work has directly informed the design of autonomous mapping systems for hazardous underground settings. His research bridges robotics and geospatial engineering, providing foundational insights for applications in search-and-rescue, mining automation, and planetary exploration. With a total of 37 citations across his most-cited papers, Garney’s contributions continue to shape how researchers and engineers approach 3D sensing in GPS-denied environments.
Research Focus
Key Achievements
Top Papers
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