Xinyuan Huang

The University of Texas at Austin

Papers

1

Total Citations

2

H-Index

1

About

Xinyuan Huang is a rising researcher at the forefront of surgical robotics, with a primary focus on developing intelligent, spatial-aware systems for orthopaedic and spinal interventions. Their most notable contribution is the introduction of **S³D: A Spatial Steerable Surgical Drilling Framework**, a novel robotic system designed to enhance precision and safety in spinal fixation procedures. This work addresses a critical challenge in minimally invasive spine surgery by enabling real-time, adaptive control of surgical drills within complex anatomical spaces. Although early in its publication cycle, the framework has already garnered attention, accumulating 2 citations in its first year and signaling strong potential for future impact in the field of computer-assisted surgery. Huang’s research sits at the intersection of robotics, computer vision, and biomechanics, aiming to translate advanced spatial intelligence into tangible clinical tools that reduce surgical risk and improve patient outcomes. Their work is particularly relevant for students and engineers interested in the practical deployment of AI and robotics in high-stakes medical environments, offering a clear example of how theoretical spatial reasoning is being engineered into life-saving surgical instruments.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
S <sup>3</sup> D: A Spatial Steerable Surgical Drilling Framework for Robotic Spinal Fixation Procedures
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago