Eliana Giovannitti

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About

Eliana Giovannitti is a researcher specializing in industrial robotics and condition monitoring, with a focused expertise in the detection and measurement of gear backlash in robotic manipulators. Her work addresses a critical challenge in manufacturing: the gradual degradation of gear systems that compromises robot positioning accuracy and induces harmful vibrations. Giovannitti's major contribution lies in the development of virtual sensor methodologies that enable non-invasive, real-time estimation of backlash gaps without requiring physical disassembly or additional hardware. Her 2022 paper, "A virtual sensor for backlash in robotic manipulators," which has garnered 12 citations, presents a novel approach that allows for targeted maintenance interventions, preventing unexpected equipment failures and preserving robotic performance. This work builds upon her earlier 2020 study, "Virtual Measurement of the Backlash Gap in Industrial Manipulators," which laid the groundwork for these estimation techniques. By enabling predictive maintenance rather than reactive repairs, Giovannitti's research directly impacts production efficiency and cost reduction in automated manufacturing environments. Her contributions are particularly valuable for industries relying on high-precision robotic operations, where even minor positioning errors can lead to significant quality issues.