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About

Yaser Mohammadi is a mechanical engineering researcher specializing in robotic machining dynamics, with a particular focus on vibration modeling, chatter stability, and structural nonlinearity in industrial robot systems. His work addresses one of the most pressing challenges in advanced manufacturing: enabling industrial robots to reliably perform high-force operations like milling and drilling, where their inherently flexible structures make them prone to excessive and unstable vibrations. Mohammadi's most influential contribution, "Chatter in milling with robots with structural nonlinearity" (2021, 41 citations), tackled the complex nonlinear dynamics that distinguish robotic milling from traditional CNC machining. Complementing this, his investigations into axial vibrations and single degree-of-freedom modeling provided researchers and engineers with practical frameworks for characterizing and predicting robot behavior during cutting operations. His 2022 work on in-process frequency response function measurement (26 citations) advanced real-time dynamic identification, a critical step toward adaptive control of robotic machining systems. Collectively accumulating over 110 citations, Mohammadi's research has meaningfully shaped the theoretical and applied understanding of robotic machining dynamics, offering foundational tools for optimization and control strategies that bring industrial robots closer to replacing conventional CNC machine tools in flexible manufacturing environments.