Xuejin Luo
Papers
1
Total Citations
1
H-Index
1
About
Xuejin Luo is a leading researcher in surgical robotics and intelligent control systems, with a primary focus on enhancing the precision and safety of robotic manipulators during delicate medical procedures. Their most notable contribution is a novel disturbance compensation method that integrates adaptive neural networks with six-degree-of-freedom task space PD control. This work directly addresses the critical challenge of maintaining accurate force control when robotic tools contact the hardest human tissues, such as bones and teeth—a key factor for improving surgical outcomes and ensuring patient safety. By enabling robots to track complex trajectories while dynamically compensating for external disturbances, Luo’s research bridges the gap between theoretical control theory and practical clinical application. Though early in its citation history, this foundational paper has already garnered attention for its potential to revolutionize orthopedic and dental robotic surgery. Luo’s work stands at the intersection of adaptive control, neural network learning, and medical robotics, offering a robust framework for the next generation of autonomous surgical assistants.
Research Focus
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Top Papers
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