Papers
2
Total Citations
13
H-Index
2
About
Andrea Graziano is a leading researcher in the intersection of advanced manufacturing, robotics, and printed electronics. Her work focuses on the optimization of additive manufacturing processes, particularly the use of 6-axis robots combined with piezo inkjet technology to print conductive circuits directly onto three-dimensional objects. Graziano’s major contributions include developing trajectory processing algorithms that enable precise, conformal printing of circuit boards on complex surfaces, as well as creating predictive models for circuit geometry and conductivity. Her 2023 paper on optimization has garnered 8 citations, while her foundational 2021 study on conductive path printing has received 5 citations, demonstrating growing recognition in the field. Notably, her research bridges robotics and materials science, offering scalable solutions for rapid prototyping and customized electronics. Graziano’s work is pivotal for advancing 3D-printed electronics, with potential applications in IoT devices, aerospace, and medical implants. Her innovative approach to combining motion planning with inkjet deposition marks her as a key figure in next-generation manufacturing.
Research Focus
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Top Papers
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