Papers
9
Total Citations
57
H-Index
5
About
Fan Liang is a robotics and biomedical engineering researcher whose work sits at the intersection of surgical robotics, motion prediction, and intelligent control systems. He is best known for his pioneering contributions to robot-assisted beating heart surgery, where he developed sophisticated predictive algorithms to compensate for the heart's complex, nonlinear motion during off-pump coronary artery bypass graft (CABG) procedures. His approaches — spanning nonlinear fast adaptive methods, master-slave Kalman filters, quadratic nonlinear prediction models, and multivariate autoregressive frameworks — collectively aim to eliminate relative motion between surgical tools and the beating heart, reducing post-operative complications and patient recovery time. His most cited works (each garnering up to 12 citations) reflect sustained scholarly interest in this clinically significant challenge. Beyond cardiac surgery, Liang has contributed to parallel robot kinematic calibration for small-animal biopsies, mobile robot path planning using hybrid ant colony and genetic algorithms, and shape memory alloy-actuated flexible needle control for minimally invasive interventions. His 2017 work employing interactive multiple models represents a notable step toward handling irregular heart rhythms through information fusion. Across nearly a decade of research, Fan Liang has established himself as a thoughtful innovator advancing the precision and safety of robotic surgical systems.
Research Focus
Key Achievements
Top Papers
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- 2Kinematic calibration of a parallel robot for small animal biopsies12 citations · 2009
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