Glen Castore

National Institute of Standards and Technology

Papers

Total Citations

H-Index

About

Glen Castore is a pioneering figure in the integration of computational geometry and robotic perception. His research centers on solid modeling, aspect graphs, and their application to robot vision—work that laid foundational groundwork for how machines interpret and interact with three-dimensional objects. Castore’s major contribution is the development of a method to transfer geometric information directly from solid modeling systems to robot vision systems, enabling robots to recognize parts through a structured graph representation known as an aspect graph. This approach bridges the gap between abstract design models and real-world visual recognition, a critical step in automating manufacturing and assembly processes. His most cited paper, “Solid Modeling, Aspect Graphs, and Robot Vision” (1984), has garnered 26 citations, while a later synthesis, “From solid model to robot vision” (2005), has 23 citations—reflecting sustained interest in his ideas over two decades. Conducted at the National Bureau of Standards, Castore’s work exemplifies early, prescient efforts to unify CAD and computer vision, influencing subsequent research in object recognition and robotic autonomy. His contributions remain a touchstone for engineers and scientists exploring the intersection of geometry and machine perception.