Marc Thomas
Papers
9
Total Citations
147
H-Index
7
About
Marc Thomas is a prolific researcher whose work sits at the intersection of structural dynamics, robotics, and advanced signal processing. His primary research focuses on modal analysis, system identification, and vibration characterization of flexible robotic systems — areas critical to advancing modern manufacturing and automation technologies. Thomas has made significant contributions to the field of time-varying system identification, most notably through his development and refinement of Data-Driven Stochastic Subspace Identification (SSI-DATA) methods, which enable more accurate extraction of modal parameters from complex dynamic systems. His 2017 paper on this topic has garnered 27 citations, reflecting its strong uptake in the research community. Complementing this work, his research on Kalman filter-based ARX modeling for force identification on flexible manipulators (26 citations) has provided practitioners with powerful tools for real-world applications. A recurring theme in Thomas's research is the challenge of robotic machining — specifically, mitigating the vibration problems that arise from the inherent low rigidity of robotic arms during high-speed operations. His investigations into grinding processes, modal coupling, and autoregressive modeling collectively represent a coherent body of work with over 140 cumulative citations, offering both theoretical frameworks and practical solutions for the next generation of flexible manufacturing systems.
Research Focus
Key Achievements
Top Papers
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- 4Robotic High Speed Machining of Aluminum Alloys21 citations · 2011
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- 8Online modal analysis of a flexible robot during grinding4 citations · 2011
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