Hongqiang Sang
Papers
11
Total Citations
95
H-Index
5
About
Hongqiang Sang is a robotics and biomedical engineering researcher whose work sits at the critical intersection of surgical robotics, motion control, and minimally invasive surgery. His most influential contribution is the development of the MicroHand A master-slave surgical robot system, a pioneering platform designed to overcome the inherent limitations of conventional laparoscopic surgery, including surgeon fatigue, tremor, and precision constraints — a work that has garnered 33 citations since its 2011 publication. Sang has made significant strides in addressing one of surgical robotics' most persistent challenges: physiological tremor suppression. His zero phase adaptive fuzzy Kalman filter and fuzzy neural network sliding mode controller represent sophisticated algorithmic solutions to ensure smooth, high-precision instrument motion. Beyond soft-tissue surgery, his research extends to otologic applications, developing force-sensing drill instruments for robotically assisted ear surgery. His contributions to tendon-driven mechanism kinematics, dynamic modeling, and preoperative planning further demonstrate the breadth of his expertise. With a body of work spanning over fifteen years, Sang continues to shape the trajectory of intelligent surgical robotics, as evidenced by recent publications reviewing laparoscopic robot development trends and advancing manipulator backdrivability.
Research Focus
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