Anthony Meng Huat Tiong
Papers
9
Total Citations
329
H-Index
7
About
Anthony Meng Huat Tiong is a pioneering researcher at the intersection of robotics, deep learning, and flexible endoscopic surgery. His work centers on developing intelligent, minimally invasive surgical systems that enhance dexterity, haptic feedback, and control in confined anatomical spaces. Tiong’s major contributions include the use of deep learning to predict distal-end forces in tendon-sheath mechanisms (77 citations) and to generate haptic feedback without prior knowledge of sheath configuration (56 citations), significantly advancing the safety and precision of flexible endoscopic robots. He also led the development of a novel robotic suturing system for flexible endoscopy (52 citations), addressing the critical challenge of closing life-threatening perforations without resorting to open surgery. Notably, Tiong introduced a subject-specific four-degree-of-freedom foot interface (42 citations) that allows surgeons to control robotic instruments with their feet, expanding the number of tools that can be simultaneously operated during complex procedures. His integrated sensor-model approach for haptic feedback (36 citations) further underscores his commitment to creating intuitive, responsive surgical tools. With over 300 combined citations across his most-cited works, Tiong is shaping the future of robotic-assisted endoluminal surgery.
Research Focus
Key Achievements
Top Papers
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- 3Sewing up the Wounds: A Robotic Suturing System for Flexible Endoscopy52 citations · 2020
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- 6A Novel Robotic Suturing System for Flexible Endoscopic Surgery35 citations · 2019
- 7Performance Evaluation of a Foot Interface to Operate a Robot Arm26 citations · 2019
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