Said Mousavi

Sigma Clermont, Université Clermont Auvergne, Institut Pascal, Centre National de la Recherche Scientifique

Papers

Total Citations

259

H-Index

About

Said Mousavi is a leading researcher in the field of robotic machining, with a primary focus on enhancing the stability and productivity of manufacturing processes. His work centers on the dynamic modeling, stability prediction, and control of robotic systems used in machining, addressing critical challenges that arise from the interaction between robot dynamics and cutting conditions. Mousavi’s major contributions include pioneering methods to optimize machining stability by controlling functional redundancies in robotic cells—an approach that allows for real-time posture adjustments to mitigate instability phenomena. His most-cited paper, “Stability optimization in robotic milling through the control of functional redundancies” (2017), has garnered 125 citations, underscoring its impact on the field. Another influential work, “Dynamic modeling and stability prediction in robotic machining” (2016), with 89 citations, provides foundational insights into how robot posture variations within the workspace affect dynamic behavior and stability. Mousavi’s research has significant implications for improving the efficiency and reliability of automated manufacturing, making him a notable figure in advanced robotics and machining.