Anne Blum
Papers
3
Total Citations
11
H-Index
3
About
Anne Blum is a leading researcher in precision manufacturing, specializing in tolerance management and robotic assembly optimization. Her work addresses a critical challenge in modern production: how to manage inevitable deviations in parts, processes, and equipment to prevent costly rework and rejects. Blum’s key contributions include developing systematic methods to monitor and plan deviations in fully-automated assembly lines, moving beyond simple reduction to strategic management. Her 2019 and 2020 papers on tolerance management, each garnering 4 citations, provide foundational frameworks for integrating product, process, and system deviations in robot-based assembly. Additionally, her 2019 study on identifying dynamic parameters of robotic tools using integrated torque sensors (3 citations) enhances robotic accuracy by enabling more precise models of tool behavior. Blum’s work is notable for bridging theoretical analysis with practical application, offering abstract methods that are directly implementable in industry. Her research is essential reading for engineers and researchers seeking to improve assembly quality, reduce waste, and meet stringent customer requirements in increasingly complex manufacturing environments.
Research Focus
Key Achievements
Top Papers
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