Zhikun Rao

Papers

Total Citations

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About

Zhikun Rao is a researcher specializing in medical robotics, with a particular focus on the kinematics, modeling, and simulation of robotic systems for minimally invasive surgical procedures. Their most-cited work, "Kinematics modeling and simulation optimization of breast puncture robot" (2023), introduces a novel five-degree-of-freedom hybrid puncture robot designed for MRI-guided breast biopsy. This robot uniquely combines a series-parallel hybrid mechanism with a two-degree-of-freedom needle feeding module, enabling precise, decoupled motion control within the constrained MRI environment. By addressing the critical challenge of kinematic decoupling in hybrid mechanisms, Rao's contributions advance the feasibility of accurate, MRI-compatible robotic interventions, potentially improving diagnostic accuracy and patient outcomes in breast cancer care. With 2 citations, this foundational work marks an early but promising impact in the field of surgical robotics. Rao's research sits at the intersection of mechanism design, kinematics optimization, and clinical application, offering a pathway toward safer, more reliable automated puncture systems. Their work is particularly relevant for students and researchers interested in medical device innovation, robot-assisted surgery, and the integration of robotics into imaging-guided procedures.