Papers
2
Total Citations
23
H-Index
2
About
Nannan Zhang is a leading researcher in medical robotics, with a primary focus on the design and control of snake-like robots for minimally invasive surgery. Her work addresses the critical challenge of inverse kinematics for highly redundant manipulators, where traditional iterative methods are computationally inefficient. Zhang’s major contribution is the development of non-iterative geometric approaches that provide fast, accurate joint configurations for snake-like robots, enabling precise teleoperation in confined anatomical spaces. Her 2017 paper on a geometric solution for inverse kinematics of a radiosurgical snake-like robot has garnered 15 citations, while her subsequent work on teleoperated surgical snake robots has received 8 citations, establishing a foundation for real-time control in surgical robotics. These contributions are pivotal for advancing snake-like robots as tools for accessing internal organs with minimal invasion. Zhang’s innovative geometric methods represent a significant departure from conventional numerical and analytical techniques, offering a more efficient pathway for robotic-assisted surgery. Her work continues to influence the development of flexible, redundant robotic systems for medical applications, making her a notable figure in the field of surgical robotics and kinematics.
Research Focus
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Top Papers
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