Xiaochen Xie

University of Hong Kong, Harbin Institute of Technology

Papers

Total Citations

158

H-Index

About

Xiaochen Xie is a pioneering researcher in medical robotics, specializing in soft continuum robots, visual servoing, and MRI-guided interventions. Their work bridges the gap between advanced sensing and autonomous control for minimally invasive surgery. Xie’s most impactful contribution is the integration of eye-in-hand visual servoing with sparse strain measurement, dramatically improving robot pose estimation and control under challenging conditions like occlusion or poor lighting—a breakthrough detailed in their 2020 paper (75 citations). They further advanced cardiac catheterization by developing a shape tracking and feedback control system using MRI-guided robotic platforms, validated with a pulmonary vein isolation simulator (2022, 54 citations). This work enhances real-time monitoring during atrial fibrillation treatment. More recently, Xie introduced learning-based visual-strain fusion for continuum robot control (2023, 29 citations), overcoming limitations of vision-only methods when image features are deficient. With over 158 total citations across these key works, Xie’s research directly addresses critical challenges in surgical robotics: improving robustness, precision, and safety. Their achievements include developing novel sensor fusion techniques and validation on clinically relevant simulators, positioning them as a leader in the next generation of intelligent, image-guided robotic systems for minimally invasive procedures.