Papers
2
Total Citations
31
H-Index
2
About
Baoduo Geng is a leading researcher in the intersection of robotics, artificial intelligence, and spinal surgery, with a primary focus on enhancing the safety and precision of laminectomy procedures. His key contributions lie in developing intelligent force perception and control systems for robot-assisted ultrasonic bone scalpels. In his highly cited 2021 work, Geng pioneered the use of a Backpropagation Neural Network to enable a surgical robot to "feel" the milling force and recognize bone layers during vertebral lamina milling, effectively quantifying the surgeon's tactile sense. This work, with 28 citations, laid the groundwork for safer, semi-autonomous spinal operations. Building on this, his 2024 study introduced a novel safety control strategy that integrates real-time force and cutting depth signals to prevent accidental damage to the spinal cord and nerves—a critical advancement given the high stakes of laminectomy. By fusing AI-driven perception with robotic actuation, Geng’s research directly addresses the risk of paralysis from surgical errors, positioning him at the forefront of smart surgical tool development. His work is essential reading for engineers and clinicians aiming to bridge the gap between robotic precision and patient safety in orthopedics.
Research Focus
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Top Papers
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