Papers
1
Total Citations
5
H-Index
1
About
Ying Su is a leading researcher in the field of continuum robotics, with a focus on model predictive control and flexible manipulator systems. Her work addresses the fundamental challenge of controlling highly nonlinear, tendon-driven continuum robots, which are prized for their flexibility and safety in medical and industrial applications. In her highly cited 2024 paper, Su introduced a novel method that integrates optical tracking with model predictive control to enhance the precision and stability of two-degree-of-freedom continuum robots. This contribution directly tackles the complexity of motion control in flexible structures, offering a practical pathway toward more reliable and autonomous robotic systems. With over five citations in a short time, her research is gaining traction among scholars working on soft robotics and advanced control theory. Su’s work stands out for its interdisciplinary approach, combining real-time sensing with predictive algorithms, and positions her as an emerging authority in the development of next-generation robotic systems that require both dexterity and accurate control.
Research Focus
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Top Papers
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