Papers
11
Total Citations
179
H-Index
6
About
David Gorsich is a prominent researcher in autonomous ground vehicle (AGV) systems, robotics, and intelligent mobility, with decades of contributions spanning military applications, terrain analysis, and advanced control systems. Working primarily through TARDEC (Tank Automotive Research, Development and Engineering Center), Gorsich has been instrumental in advancing unmanned ground vehicle technologies for defense and national security applications. His most-cited work, the R2-RRT* algorithm (2021, 92 citations), represents a landmark contribution to reliable mission planning for off-road AGVs under uncertain terrain conditions, introducing innovative mobility reliability metrics that address real-world deployment challenges. Earlier in his career, Gorsich pioneered robotic sensing platforms for security inspection, developing the SAFER under-vehicle inspection system that addressed critical post-9/11 infrastructure protection needs. His research portfolio further encompasses distributed electric drivetrains for unmanned vehicles, terrain perception using stereo imaging, and more recently, data-driven control methods using Koopman operator theory for autonomous vehicle path tracking. Bridging theoretical modeling and practical military robotics, Gorsich's work has consistently pushed forward the frontier of autonomous mobility in complex, unstructured environments, making him a key figure in defense robotics research.
Research Focus
Key Achievements
Top Papers
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- 3SAFER under vehicle inspection through video mosaic building20 citations · 2004
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- 7Surface shape description of 3D data from under vehicle inspection robot5 citations · 2005
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