Hongyao Shen
Papers
9
Total Citations
242
H-Index
8
About
Hongyao Shen is a leading researcher in additive manufacturing, specializing in large-scale 3D printing, multi-robot collaboration, and intelligent defect detection. Their most influential work, "Research on large-scale additive manufacturing based on multi-robot collaboration technology" (101 citations), pioneers methods for fabricating oversized components by coordinating multiple robotic systems. Shen has made transformative contributions to quality control in fused deposition modeling (FDM), developing multi-view online vision detection systems (54 citations) and self-feature comparison algorithms (23 citations) that automatically identify surface defects during printing. They have also advanced support-free manufacturing techniques for wire arc additive manufacturing (WAAM) and thin-wall structures, reducing the need for sacrificial supports. Notably, Shen’s research on Ni–Ti alloys (9 citations) discovered a new phenomenon enabling the fabrication of thermally responsive microrobots, opening novel applications in soft robotics. Their recent work on magnetic field-assisted additive manufacturing (2024) and intelligent path planning via neural networks (2025) continues to push boundaries. With over 240 total citations across their top papers, Shen’s innovations in visual stitching for large-scale printing and multi-material systems are shaping the future of automated, high-precision additive manufacturing.
Research Focus
Key Achievements
Top Papers
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- 5Large-scale 3D printing technology based on the visual stitching method10 citations · 2019
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- 8Research on GMAW based non-supporting thin-wall structure manufacturing8 citations · 2020
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