Papers
3
Total Citations
11
H-Index
3
About
Zongdao Li is a rising researcher at the intersection of robotic control, human-robot interaction, and surgical automation. Their work spans two critical domains: advancing precision in orthopedic surgery and enhancing the expressiveness of humanoid robots. In the medical arena, Li led a systematic review and meta-analysis on robot-guided lumbar spine surgery, demonstrating how robotic assistance can improve pedicle screw placement accuracy—a pivotal contribution to spinal fusion procedures. On the humanoid robotics side, Li developed a two-stage facial kinematic control strategy that enables robots to replicate human expressions with high fidelity, using keyframe detection and cubic spline interpolation to drive servo-based facial movements. Additionally, Li proposed an efficient quadratic programming method for kinematic control of redundant manipulators, addressing joint velocity constraints with improved computational stability. Though early in their career, Li’s work has already garnered attention, with each of these 2024 papers accumulating 3–4 citations, signaling growing impact. This dual focus on surgical precision and naturalistic robot expression positions Li as a versatile contributor to both medical robotics and socially interactive autonomous systems.
Research Focus
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Top Papers
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