David Dornfeld

Papers

Total Citations

123

H-Index

About

David Dornfeld is a pioneering figure in precision manufacturing and automation, whose work has fundamentally advanced the understanding of sensor-based process control. His research centers on acoustic emission (AE) sensing, precision deburring, and robotic manipulation. Dornfeld’s major contributions include developing AE signal analysis as a reliable method for detecting slip between robotic grippers and workpieces—a breakthrough that enhances dexterous manipulation in automated assembly. His seminal 2005 paper on slip detection using AE, with 66 citations, remains a cornerstone in tactile sensing research. He also revolutionized edge finishing through mechanized deburring techniques, notably for cross-drilled hole intersections, as detailed in his 2004 work (14 citations), which addressed costly, inaccessible burr removal challenges. His 1992 paper on AE feedback for precision deburring (36 citations) further cemented his role in integrating real-time sensing into manufacturing. Dornfeld’s work bridges fundamental acoustics and practical automation, enabling safer, more efficient robotic systems. His legacy lies in transforming acoustic emission from a laboratory curiosity into a vital tool for industrial precision and quality control.