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About

Xiangzhi Bai is a leading researcher at the intersection of space robotics, medical image-guided navigation, and precision interventional systems. His most impactful work addresses the critical challenge of satellite pose estimation, where he developed a novel method using single perspective views of a radius-known circle—such as a satellite’s docking ring—to determine both center position and normal direction. This approach, detailed in his 2018 paper with 68 citations, resolves the inherent duality problem and recovers roll angle, offering a practical solution for autonomous space capture missions. In the medical domain, Bai pioneered an image-guided navigation system for robot-based vessel intervention surgery, integrating conventional single-plane C-arm imaging to enhance accuracy and reduce radiation exposure during catheter-based procedures. His recent work extends to robotic-assisted radioactive seed implantation for tumor treatment, with experimental validation demonstrating improved precision in oncology applications. Bai’s contributions bridge aerospace and biomedical robotics, advancing autonomous manipulation and minimally invasive surgical techniques.