Shiyong Su
Papers
2
Total Citations
96
H-Index
2
About
Shiyong Su is a pioneering researcher at the intersection of bio-robotics and advanced manufacturing, whose work bridges neural engineering and construction automation. His most impactful contribution is a landmark 10-year perspective review on bio-robotics research for non-invasive myoelectric neural interfaces in upper-limb prosthetic control, which has garnered 91 citations. This work critically analyzed the persistent gap between academic innovation and industrial application, proposing four key technical challenges—including signal processing, intuitive control, sensory feedback, and clinical translation—that must be overcome to revolutionize prosthetic technology. More recently, Su has ventured into construction robotics, developing a neural network-based model to assess 3D printable concrete performance in robotic fabrication. His 2025 study demonstrated how backpropagation neural networks can predict material flowability and strength, enabling optimized mix parameters for reliable 3D printing. By applying machine learning to concrete printability, Su is helping to advance automated construction methods. His dual expertise in neural interfaces and robotic manufacturing positions him as a versatile innovator, with his work cited by researchers in rehabilitation engineering, materials science, and digital fabrication.
Research Focus
Key Achievements
Top Papers
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