Zhigang Lu

Papers

Total Citations

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About

Zhigang Lu is a rising researcher in advanced manufacturing, specializing in robotic additive manufacturing and computational geometry for toolpath planning. His work addresses critical challenges in 3D printing, particularly for complex geometries requiring non-planar deposition. Lu’s most-cited paper, "Optimization-based non-equidistant toolpath planning for robotic additive manufacturing with non-underfill orientation" (2023), introduces a novel optimization framework that generates non-equidistant toolpaths, enabling precise material deposition without underfill—a common defect in layered manufacturing. This contribution directly improves part quality and structural integrity in robotic additive processes, with the paper already accumulating 17 citations since its publication, signaling strong early impact in the field. Lu’s research bridges computational optimization and practical manufacturing constraints, offering scalable solutions for industries like aerospace and biomedical device fabrication. His work is particularly notable for integrating orientation-aware path planning, which reduces waste and enhances mechanical performance. As a young researcher, Lu is establishing a reputation for pushing the boundaries of additive manufacturing efficiency, making his contributions essential reading for engineers and scientists seeking to advance robotic fabrication techniques.