Jui‐Te Lin
Papers
5
Total Citations
29
H-Index
3
About
Jui-Te Lin is a robotics researcher whose work centers on the design, control, and clinical translation of concentric tube robots (CTRs) for minimally invasive surgery. His major contributions include developing a generalized, gradient-based optimization framework for CTR design, enabling patient- and procedure-specific customization of these highly compliant, miniaturized continuum robots. Lin has also advanced control methods for shape regulation, moving beyond simple tip control to achieve approximate follow-the-leader motion—a critical capability for navigating constrained anatomical pathways. His case study on micro-laryngeal surgery demonstrates a closed-loop approach to manufacturing uncertainties, bridging the gap between design optimization and clinical deployment. Beyond CTRs, Lin has contributed to scalable geometric constraint enforcement for gradient-based optimization and developed the HaPPArray, a lightweight haptic pneumatic pouch array for feedback in handheld robots. With over 29 citations across his most-cited works, Lin’s research is distinguished by its integration of computational design, precise control, and practical haptics, making him a notable figure in surgical robotics and continuum robot innovation.
Research Focus
Key Achievements
Top Papers
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- 5HaPPArray: Haptic Pneumatic Pouch Array for Feedback in handheld Robots2 citations · 2023