Jiaqing Huang

Papers

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About

Jiaqing Huang is a leading researcher in surgical robotics, with a primary focus on haptic feedback and force sensing for minimally invasive procedures. His work addresses a critical challenge in robotic-assisted surgery: the loss of tactile sensation for surgeons operating remotely. Huang’s most influential contribution is the design and evaluation of a Fiber Bragg Grating (FBG)-based tension sensor for laparoscope surgical robots, a paper that has garnered 46 citations. This sensor overcomes the difficulties of integrating force measurement tools into the narrow, chemically harsh sterilization environments of surgical end-effectors, enabling more precise force control. Recognizing the limitations of physical sensors, Huang also pioneered a sensorless grip force estimation method using a Neural Network optimized by a Genetic Algorithm. This approach, detailed in a 2018 paper, allows for accurate haptic feedback without additional hardware, directly improving the safety and efficacy of Robotic Minimally Invasive Surgery (RMIS). By combining innovative sensor design with intelligent estimation algorithms, Huang’s research is paving the way for more intuitive and responsive surgical robots, ultimately enhancing patient outcomes and expanding the capabilities of modern medicine.