Papers
7
Total Citations
315
H-Index
4
About
Dr. Bingbin Yu is a pioneering researcher at the intersection of surgical robotics, continuum manipulators, and intelligent automation. Her work fundamentally advances how robots interact with delicate, unstructured environments—from the human body to industrial workspaces. Dr. Yu’s landmark survey, “Surgical robotics beyond enhanced dexterity instrumentation” (238 citations), is a seminal contribution that mapped the integration of machine learning into autonomous surgical actions, establishing a roadmap for the field. She has made critical strides in modeling and controlling continuum robots, including a probabilistic kinematic model for robotic catheters (30 citations) and reinforcement learning approaches for autonomous catheter navigation. In parallel, her research on series-elastic actuators (SEAs) for industrial robots (29 citations) addresses the pressing need for safe human-robot collaboration, combining data-driven modeling with novel mechanical design. Dr. Yu’s work on soft-rigid arm collaboration and portable continuum manipulators further showcases her ability to bridge theoretical modeling with practical, dexterous systems. With a career defined by translating complex nonlinear dynamics into controllable, intelligent robotic systems, Dr. Yu is shaping the future of both minimally invasive surgery and collaborative industrial robotics.
Research Focus
Key Achievements
Top Papers
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- 2Probabilistic Kinematic Model of a Robotic Catheter for 3D Position Control30 citations · 2018
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