Stefano Baglioni

Papers

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About

Stefano Baglioni is a researcher whose work lies at the intersection of robotics, multibody dynamics, and advanced manufacturing. His primary research focuses on the dynamic modeling and error analysis of robotic systems, particularly in the context of high-precision industrial applications like milling. Baglioni’s most cited paper, "Multibody modelling of N DOF robot arm assigned to milling manufacturing. Dynamic analysis and position errors evaluation" (2016, 36 citations), exemplifies his core contribution: developing rigorous multibody models that capture the complex dynamic behavior of robot arms during machining. This work is critical for understanding and mitigating position errors that arise from flexibility and vibration, directly impacting the accuracy and reliability of robotic milling operations. By bridging theoretical dynamics with practical manufacturing challenges, Baglioni’s research provides engineers with tools to predict and improve robot performance in real-world settings. His approach is particularly valuable for industries seeking to automate machining tasks with high precision, where even small errors can lead to significant quality issues. Through his focused investigations, Baglioni has established himself as a key contributor to the advancement of robotic manufacturing, offering insights that help bridge the gap between simulation and application.