Seyed Mahdi Hashemi

Universität Hamburg, Hamburg University of Technology

Papers

Total Citations

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About

Seyed Mahdi Hashemi is a robotics and control systems researcher whose work centers on the modeling, identification, and advanced control of robotic manipulators. His research addresses some of the most practically challenging aspects of deploying industrial robots, particularly the accurate estimation of dynamic parameters and the development of sophisticated control strategies for complex mechanical systems. In his most-cited work, published in 2009 and accumulating 15 citations, Hashemi demonstrated the effective application of the separable least squares technique to parameter identification of a six-degrees-of-freedom robot arm. By deriving a dynamic model linear in parameters and incorporating both linear and nonlinear joint friction terms, this work provided a rigorous and practical framework for improving robot model accuracy — a foundational requirement for high-performance control. His 2013 paper, with 12 citations, extended this expertise into interaction control of industrial manipulators using Linear Parameter-Varying (LPV) techniques, showcasing his ability to bridge advanced control theory with real-world robotic applications. Together, these contributions reflect a coherent research vision focused on making industrial robots more precise, adaptable, and safe to operate alongside humans — themes of enduring relevance in modern automation and human-robot collaboration research.