Danjie Bi

Hong Kong University of Science and Technology

Papers

Total Citations

H-Index

About

Danjie Bi is a leading researcher in advanced manufacturing, specializing in multi-axis additive manufacturing and robotic 3D printing. Their work addresses critical challenges in fabricating complex geometries without support structures or the stair-step effect that plagues conventional three-axis printers. Bi’s most influential contributions include pioneering potential field-based algorithms for multi-axis printing path generation, enabling more efficient and accurate robotic fabrication. Their 2020 and 2021 papers, each garnering 11 citations, introduced novel iso-planar path generation methods that optimize tool orientation and minimize printing time for intricate models. These contributions are foundational to the emerging field of multi-axis fused deposition modeling (FDM), where robotic manipulators replace traditional gantry systems. Bi’s work has significant implications for industries requiring high-precision, complex parts, such as aerospace and biomedical engineering. By solving the open serial structure challenges of robotic arms, Bi has helped unlock the full potential of multi-axis printing, making them a key figure in the evolution of additive manufacturing technology.