Papers

8

Total Citations

230

H-Index

6

About

Alexander Yu is a pioneering researcher at the intersection of robotics and neurosurgery, whose work bridges mechanical engineering and clinical application. His research focuses on parallel kinematics, robotic-assisted surgery, and intraoperative navigation systems. Yu’s foundational contributions include the design of novel XY-Theta positioning tables with partially decoupled parallel kinematics, which address the critical limitation of limited rotational capabilities in traditional parallel robots—a key challenge for industrial and surgical positioning tasks. His geometric approach to accuracy analysis of 3-DOF planar parallel robots (95 citations) remains a seminal reference in the field. In the clinical realm, Yu has made significant strides in spinal surgery, including a direct comparison of O-arm neuronavigation versus Mazor X robotic-guided posterior spinal instrumentation (62 citations), and a multicenter study on the surgeon experience with robotic-assisted exoscopes (23 citations). His work on real-time vessel segmentation for active handheld microneurosurgical instruments (2022) and the differentiable control library Deluca (2021) further demonstrate his commitment to advancing surgical precision through robotics. With over 200 total citations, Yu’s research continues to shape the future of robotic surgery and parallel kinematics.

Research Focus

Key Achievements

6
H-Index
8
Papers
230
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Geometric approach to the accuracy analysis of a class of 3-DOF planar parallel robots
95 citations · 2007
📈 Most Prolific Year: 2006 (2 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: McGill University, Allegheny General Hospital, Allegheny Health Network

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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