Papers
7
Total Citations
52
H-Index
3
About
Shuizhong Zou is a leading researcher in surgical robotics, with a primary focus on minimally invasive surgery (MIS) systems. His work centers on enhancing the precision, safety, and autonomy of robotic surgical platforms, addressing critical challenges in control, manipulation, and perception. Zou’s most impactful contribution is his pioneering work on adaptive fusion-based autonomous laparoscope control, which has garnered 27 citations and represents a significant step toward semi-autonomous surgery. He has also made substantial advances in improving the backdrivability of surgical robotic arms for safer manual manipulation and in developing compound control methods for vibration suppression and precise position control in flexible-joint robots. His research extends to practical applications such as visual positioning for nasal swab robots and novel calibration techniques using dual quaternions. With a cumulative citation count approaching 50, Zou’s work is increasingly recognized for its translational potential. Notably, his investigations into transmission backlash compensation and grasping force estimation for cable-driven instruments address a critical sensor limitation in narrow surgical spaces, demonstrating his commitment to solving real-world clinical problems through innovative control and estimation algorithms.
Research Focus
Key Achievements
Top Papers
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- 4Visual Positioning of Nasal Swab Robot Based on Hierarchical Decision3 citations · 2023
- 5Modified Hand–Eye Calibration Using Dual Quaternions3 citations · 2022
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