Papers
2
Total Citations
13
H-Index
2
About
Tian Xu is a researcher advancing the frontiers of medical robotics and automated inspection. His work centers on two key areas: CT-image-guided robotic systems for minimally invasive procedures and vision-based quality control for industrial testing. In a notable 2022 contribution, Xu developed a light-weight, high-accuracy 4-DOF robot designed for CT-guided percutaneous interventions, such as lung biopsy and brachytherapy. This system addresses a critical challenge by enhancing needle and target localization, offering physicians greater precision and safety during cancer diagnosis and treatment. His most cited work, a 2025 study on a vision-based quality evaluation method for automated penetrant testing (9 citations), demonstrates his versatility in applying computer vision to industrial non-destructive testing, improving detection reliability. With a growing citation footprint, Xu’s research bridges robotics, imaging, and automation, showing promise for both clinical impact and manufacturing efficiency. His achievements reflect a commitment to solving real-world problems through innovative, practical engineering solutions.
Research Focus
Key Achievements
Top Papers
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