Papers
22
Total Citations
177
H-Index
8
About
Guangming Xia is a pioneering researcher at the intersection of surgical robotics, biomedical signal processing, and intelligent control systems, with a particular focus on robot-assisted orthopedic surgery. His most significant contributions center on developing innovative sensing and control strategies that enhance the safety and precision of robotic bone milling and drilling procedures, especially in spinal and hip surgeries. Xia's groundbreaking work has established vibration and sound pressure signals as reliable real-time feedback mechanisms for monitoring critical surgical parameters such as cutting depth, lamina thickness, and bone layer transitions — challenges where traditional optical navigation fails. His 2022 paper on vertebral lamina state estimation has garnered 27 citations, while complementary studies on sound-based depth control and tactile perception-guided grinding have collectively attracted over 60 citations, reflecting strong community recognition. Beyond mechanical sensing, Xia has embraced artificial intelligence, incorporating machine learning techniques including KNN classification, fuzzy control, and attention-based CNN-LSTM architectures to further automate surgical decision-making. His research directly addresses patient safety in high-risk procedures like laminectomy and hip fracture fixation, where millimeter-level precision is essential. With a growing citation record exceeding 130 citations across just a few years, Xia represents an emerging leader in intelligent surgical robotics.
Research Focus
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