Maurizio Galetto
Papers
10
Total Citations
129
H-Index
8
About
Maurizio Galetto is a leading researcher in advanced manufacturing, with a focus on human–robot collaboration (HRC), quality monitoring, and metrology for Industry 4.0 and 5.0. His work centers on integrating collaborative robots (cobots) into assembly and quality control processes, aiming to enhance both human well-being and production efficiency. Galetto has pioneered diagnostic tools for human-centric quality monitoring in HRC manufacturing, achieving 24 citations for a 2023 paper, and explored how perceived complexity affects performance in collaborative assembly (21 citations). He also developed a non-contact, robot-integrated optical measurement system for gap and flushness in automobile assembly (15 citations), and advanced training-by-demonstration methods for welding robots using optical trajectory tracking (14 citations). His recent contributions include a shared metrological framework for trustworthy digital twins and virtual experiments (13 citations), and real-time monitoring systems using multivariate control charts for collaborative assembly. With over 130 total citations, Galetto’s research is instrumental in shaping safe, flexible, and high-quality manufacturing systems, positioning him as a key figure in the transition to smart, human-centric industrial environments.
Research Focus
Key Achievements
Top Papers
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- 4Training by Demonstration for Welding Robots by Optical Trajectory Tracking14 citations · 2013
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