@inproceedings{0f122e3cb95b4a9db49d4d5fce08b3b0,
title = "Design and Verification of an Innovative Spine Surgical Robot Based on Dynamic Compensation",
abstract = "In spine surgery, robotic system can achieve precise surgery planning and instrument positioning. However, millimeter-level displacements caused by respiratory motion may reduce guidewire placement accuracy. This study presents a spine surgical robot that is integrated with a real-time tracking system and a dynamic compensation system based on Kalman filter. The animal experiments (porcine model) demonstrated that the placement accuracy in the dynamic tracking group (83\% level-A satisfaction) was improved compared with that in the no tracking group (42\%). The result validated the system's clinical potential while maintaining similar operation time (32.5 min vs. 31.0 min) and overall workflow efficiency.",
author = "Weijun Zhang and Changsheng Li and Huanyu Tian and Jingwei Zhao and Tianming Hu and Xingguang Duan",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 IEEE International Conference on Cyborg and Bionic Systems, CBS 2025 ; Conference date: 17-10-2025 Through 19-10-2025",
year = "2025",
doi = "10.1109/CBS65871.2025.11267629",
language = "English",
series = "2025 IEEE International Conference on Cyborg and Bionic Systems, CBS 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "497--502",
booktitle = "2025 IEEE International Conference on Cyborg and Bionic Systems, CBS 2025",
address = "United States",
}