Papers
31
Total Citations
848
H-Index
15
About
Zerui Wang is a robotics and medical robotics researcher whose work sits at the intersection of surgical automation, deformable object manipulation, and human-robot collaboration. His most influential contribution, "Automatic 3-D Manipulation of Soft Objects by Robotic Arms With an Adaptive Deformation Model" (2016, 184 citations), established a foundational feedback framework for servo-controlling soft object shapes—a challenge central to food handling, surgical robotics, and industrial automation. Building on this, Wang has pioneered vision-based, model-independent approaches to manipulating anisotropic deformable tissues using continuum robots, with applications ranging from autonomous suturing (87 citations) to cryoablation of kidney tumors. His surgical robotics portfolio is particularly notable: he has developed dual-arm needle insertion systems that actively compensate for tissue deformation, vision-based calibration methods for minimally invasive surgery setups (71 citations), augmented reality guidance for surgical assistants, and the innovative foot-controlled FREEDOM endoscope manipulator for sinus surgery. His work on variable stiffness joints and instrument segmentation further reflects a commitment to safer, more intelligent human-robot interaction. Collectively, Wang's research has garnered over 600 citations, establishing him as a significant voice in autonomous surgical robotics and adaptive robotic manipulation.
Research Focus
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