Rex Xiao Tan

Papers

Total Citations

114

H-Index

About

Rex Xiao Tan is a leading researcher in surgical robotics, with a primary focus on haptic feedback and force sensing for flexible endoscopic systems. His work addresses a critical challenge in minimally invasive surgery: the lack of tactile feedback for surgeons operating flexible robots. Tan’s most cited paper, “Force Sensing With 1 mm Fiber Bragg Gratings for Flexible Endoscopic Surgical Robots” (2019, 78 citations), introduces a novel force sensor that measures compression forces on the sheath of tendon-sheath mechanisms, enabling precise distal force detection in confined surgical spaces. This innovation directly improves the safety and efficacy of flexible endoscopic procedures. In his related work, “An Integrated Sensor-Model Approach for Haptic Feedback of Flexible Endoscopic Robots” (2019, 36 citations), Tan combines sensor data with computational models to deliver realistic haptic feedback, bridging the gap between physical and virtual sensing. Together, these contributions have garnered over 110 citations, underscoring their impact on advancing robotic surgery. Tan’s research not only enhances surgical precision but also paves the way for more intuitive human-robot interaction in medicine, making him a key figure in the evolution of next-generation surgical tools.