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About

David J. Giblin is a roboticist whose work bridges the gap between theoretical control and practical manufacturing. His research centers on robotic manipulation, force/position control, and precision manufacturing processes, with a particular focus on tasks requiring complex physical interaction between robots and their environments. Giblin’s most impactful contribution is his 2008 paper on “Accurate robotic belt grinding of workpieces with complex geometries,” which has garnered 105 citations. This work introduced relative calibration techniques that significantly improved the precision of robotic grinding for intricate shapes, addressing a critical challenge in automated manufacturing. Beyond grinding, Giblin has developed novel “Target Tracking Manipulation Theories” for combined force and position control in both open and closed-loop manipulators. His 2005 and 2006 papers on this topic (each with 7 citations) proposed a new framework that eliminates the need to resolve direct and inverse kinematics for feedback conversion, simplifying control architectures. Giblin has also applied these theories to classic assembly problems, such as peg-in-hole tasks (2008, 4 citations), demonstrating how his theoretical advances translate to real-world robotic assembly. His work remains a valuable reference for researchers in robotic manufacturing and compliant motion control.