Wai Lun Tang
Papers
4
Total Citations
214
H-Index
4
About
Wai Lun Tang is a leading researcher in medical robotics, specializing in soft continuum robots, MRI-guided interventions, and advanced control systems. His work bridges the gap between flexible robotic manipulation and high-precision medical procedures, particularly in cardiac catheterization and minimally invasive surgery. Tang's most cited paper (75 citations) introduces eye-in-hand visual servoing enhanced with sparse strain measurement for soft continuum robots, addressing critical challenges like occlusion and poor lighting that plague traditional image-based tracking. He further advanced the field with shape tracking and feedback control of cardiac catheters using an MRI-guided robotic platform (54 citations), validated with a pulmonary vein isolation simulator—a breakthrough for atrial fibrillation treatment. Tang also developed a high-performance continuous hydraulic motor for MR-safe robotic teleoperation (51 citations), enabling precise tele-manipulation under MRI guidance. His work on localized online learning-based control of soft redundant manipulators under variable loading (34 citations) demonstrates his commitment to robust, adaptive control strategies. With over 200 total citations, Tang's contributions are pivotal in making soft robots reliable for clinical use, enhancing both safety and efficacy in image-guided interventions.
Research Focus
Key Achievements
Top Papers
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