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Stig Moberg is a prominent researcher in the dynamics, modeling, and control of industrial robot manipulators, with work that has significantly advanced both academic understanding and real-world automation. His most influential contribution, "Modeling and Control of Flexible Manipulators" (2007, 102 citations), established a foundational framework for addressing the mechanical elasticities inherent in modern industrial robots — a critical challenge for achieving precise, high-speed motion. Moberg has consistently demonstrated that simplified models, such as the classical flexible joint assumption, are insufficient for capturing the true dynamic complexity of contemporary robotic arms, a finding reinforced through multiple highly cited studies on parameter estimation and extended flexible joint models. His research spans gray-box system identification, nonlinear modeling, backlash identification in robot transmissions, friction modeling in strain wave gears, and observer-based tool position estimation — collectively forming a comprehensive toolkit for industrial robot engineers. His feedforward and feedback control strategies, including DAE-based inverse dynamics and feedback linearization approaches, have provided practical pathways to robust, high-performance robot control. With over 370 total citations across his top works, Moberg's contributions remain essential reading for researchers and engineers seeking rigorous, application-driven insights into flexible robotic systems.