Xue Jun Xiao
Papers
1
Total Citations
1
H-Index
1
About
Xue Jun Xiao is a pioneering researcher in surgical robotics, with a primary focus on shared control systems that bridge human expertise and autonomous machine intelligence. His most-cited work, “A Shared Control Method of Multiobjective Motion Fusion for Surgical Robot” (2025), introduces a novel framework that integrates autonomous algorithms into traditional master–slave control architectures, allowing surgeons to receive real-time, adaptive assistance during complex procedures. This contribution addresses a critical challenge in robotic surgery—enhancing operational dexterity and dynamic responsiveness without compromising human oversight. By fusing multiple motion objectives, Xiao’s method enables safer, more intuitive interactions between surgeon and robot, with potential applications in minimally invasive and telesurgery. Although his citation count is currently modest, the foundational nature of this work signals growing influence in the field. Xiao’s research stands at the intersection of human–robot collaboration and medical technology, offering a pathway toward more capable and trustworthy surgical systems. His achievements reflect a deep commitment to advancing precision medicine through intelligent, co-adaptive robotic tools.
Research Focus
Key Achievements
Top Papers
- 1