Tan Kai Noel Quah
Papers
2
Total Citations
2
H-Index
1
About
Tan Kai Noel Quah is a rising researcher at the intersection of advanced manufacturing and bio-inspired robotics. His work primarily focuses on **3D concrete printing (3DCP)** and **origami-inspired mechanical systems**, where he develops intelligent, adaptive solutions for construction and robotics. In his notable 2025 paper on 3DCP, Quah pioneered an **in-process filament repair system using instance segmentation**, enabling automated detection and correction of printing defects—a critical step toward fully autonomous on-site construction. This work addresses a key bottleneck in additive manufacturing, reducing the need for human operators to monitor print quality. Simultaneously, his research on **origami-inspired structures** explores how fundamental folding principles can create versatile, reconfigurable robotic systems, bridging geometry and function. Though early in his career, with papers already garnering citations, Quah’s contributions demonstrate a clear vision: leveraging computer vision and mechanical design to make construction smarter and robotics more adaptable. His interdisciplinary approach—combining deep learning, materials science, and structural engineering—positions him as an innovator to watch in the next generation of automated building technologies.
Research Focus
Key Achievements
Top Papers
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- 2