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About

Thomas Lepper is a researcher specializing in robotic machining, manufacturing automation, and the processing of lightweight materials for aerospace and automotive applications. His work addresses one of the most pressing challenges in modern manufacturing: leveraging the flexibility and cost-effectiveness of industrial robots for precision metal cutting and machining tasks, despite their inherent structural limitations compared to conventional machine tools. Lepper's most influential contribution, "Design and optimization of a machining robot" (2017, 52 citations), tackles the critical issue of low stiffness in serial kinematic robot structures, which causes positioning errors under cutting forces—a fundamental barrier to widespread robotic adoption in high-precision industries. His 2019 work on mode coupling chatter prediction (40 citations) further advances the field by providing predictive frameworks for avoiding vibration-induced instabilities during robotic machining. His earlier 2015 paper on enabling industrial robots for metal cutting (38 citations) laid important groundwork by presenting practical optimization approaches for aerospace frame manufacturing. Through a holistic process planning perspective and bilingual publication record, including German-language contributions to the community, Lepper has accumulated over 140 citations, establishing himself as a significant voice in advancing robot-based manufacturing for next-generation lightweight structural components.