Xiang Li
Papers
2
Total Citations
4
H-Index
2
About
Xiang Li is an emerging researcher at the cutting edge of medical robotics and human-robot collaboration, with a focus on developing intelligent autonomous systems for clinical applications. Their work centers on two rapidly advancing domains: robot-assisted orthopedic surgery and autonomous ultrasound scanning, both of which address critical challenges in modern healthcare. Li's notable contribution in cognitive human-robot collaboration for pedicle screw placement represents a significant step forward in surgical robotics, moving beyond conventional navigation assistance to tackle the more complex challenge of automating precise drilling and screw placement tasks. This work integrates visual attention mechanisms to enhance safety and precision during intricate physical surgical interactions — a notoriously demanding problem in the field. Complementing this, Li's research on vision-based autonomous ultrasound scanning robots demonstrates a practical response to the global shortage of medical professionals, developing adaptive real-time control schemes that enable robots to independently conduct scanning procedures with minimal human oversight. Though early in their citation trajectory — with current papers each accumulating 2 citations since 2024 — Li's research addresses high-impact clinical problems with both technical sophistication and real-world relevance, positioning them as a promising voice in the future of medical robotics and autonomous surgical systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2