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About

Ziyan Guo is a biomedical robotics researcher whose work sits at the dynamic intersection of medical robotics, MRI-guided intervention, and surgical automation. His research has focused primarily on developing MR-safe robotic systems that enable precise, image-guided procedures in environments where conventional electromagnetic actuators cannot function — a technically demanding challenge that has profound clinical implications. Guo's most influential contributions include pioneering MR-safe robotic manipulators for intracardiac catheterization and compact hydraulic-driven robots for bilateral stereotactic neurosurgery, each garnering over 60 citations. His development of high-performance hydraulic motors for MRI-compatible teleoperation, cited over 50 times, has been particularly impactful in enabling real-time, soft-tissue-guided robotic control within scanner bores. His work on intraoperative MRI-guided neurosurgical robots addresses a critical bottleneck — performing precision procedures within the confined space of standard imaging head coils. Beyond hardware, Guo has explored intelligent procedural guidance, including active learning frameworks for cardiac mapping during radiofrequency ablation. Across his body of work, totaling over 300 citations, Guo has meaningfully advanced the feasibility of robot-assisted surgery in MRI environments, offering safer, more precise alternatives to conventional interventional techniques.