Beatriz de Agustina
Papers
2
Total Citations
41
H-Index
2
About
Beatriz de Agustina is a leading researcher in advanced manufacturing, specializing in the automation of precision polishing processes. Her work focuses on integrating sensor-based monitoring with robotic systems to achieve superior surface quality without human intervention. A key contribution is her development of non-destructive, real-time estimation techniques for surface roughness. In her highly cited 2018 study (22 citations), she pioneered the analysis of force signals during robot-assisted polishing, extracting critical features to determine the optimal endpoint of the process. Earlier foundational work (2014, 19 citations) demonstrated the use of acoustic emission signals for the same purpose, addressing the longstanding challenge of automating a task that traditionally requires exceptional manual skill and dexterity. By enabling robots to "sense" surface conditions during operation, de Agustina’s research directly enhances process control, reduces waste, and improves consistency in high-precision industries. Her innovative fusion of signal processing and manufacturing automation has established her as a key figure in the evolution of intelligent, self-optimizing production systems.
Research Focus
Key Achievements
Top Papers
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