Tommy Benjaminsen

Papers

Total Citations

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About

Tommy Benjaminsen is a researcher whose work sits at the intersection of robotics, manufacturing systems design, and virtual product development. His research focuses on applying simulation and visualization tools to support the engineering of complex automated systems, with a particular emphasis on industrial robotics and fish processing facilities — a niche but practically significant domain in sectors reliant on specialized automation. Benjaminsen's most notable contributions include pioneering the use of virtual commissioning and digital prototyping methods to streamline the installation of novel robotic cleaning solutions in food processing environments. His 2019 paper on this topic has garnered 4 citations, reflecting growing interest in simulation-driven engineering approaches for challenging industrial settings. Complementing this, his work on visualization frameworks for manufacturing systems introduced a structured classification of Level of Detail, Level of Accuracy, and Level of Recognizability for 3D scanning applications, cited 3 times, offering practical guidance for retrofitting and robotic integration projects. While his citation counts remain modest, Benjaminsen's research addresses real-world engineering challenges where virtual tools can reduce costly physical prototyping. His work is particularly valuable for students and engineers exploring digital twin methodologies, robotic automation, and the modernization of specialized manufacturing and food processing industries.