Navigation System and Human-Robot Collaborative Control Approach for A Series-Parallel Hybrid Pelvic Fracture Reduction Surgical Robot

Trauma orthopedic robotic systems play a crucial role in assisting surgeons with precise control and minimally invasive procedures. Nevertheless, key technologies such as output force, navigation, and operational performance in robot-assisted pelvic fracture reduction surgery require further development. This article introduces an improved serial-parallel hybrid robot system designed to manage the high forces involved in surgery. The system integrates surgeon remote control with autonomous robot control, improving surgical flexibility and precision. Additionally, a navigation system employing dual-view 2D-3D registration algorithms and optical tracking technology enables real-time observation of fragments for accurate reduction operations. Experimental results show that the navigation system established based on dual-view 2D-3D registration algorithms achieves an accuracy of 1.83 ± 0.03 mm, providing real-time feedback on fragment's positions. In in vitro pelvic fracture reduction experiments, the system exhibits an average reduction error of 2.27 ± 0.31 mm and 0.58 ± 0.17°, categorizing it as excellent. Meanwhile, the closed-loop control approach established can accurately track the planned path. Guided by skilled surgeons and autonomy, the proposed system significantly enhances flexibility and precision in pelvic fracture surgery, addressing both clinical and technical challenges.

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Publication Details

Journal
IEEE/ASME Transactions on Mechatronics
Published
2024-11-25
DOI
https://doi.org/10.1109/tmech.2024.3485629
Citations
6
Primary Topic
Pelvic and Acetabular Injuries
Type
article
Field-Weighted Citation Impact
3.44

Funders

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article

Navigation System and Human-Robot Collaborative Control Approach for A Series-Parallel Hybrid Pelvic Fracture Reduction Surgical Robot

Yefeng Liang, Lihai Zhang, Shaolin Lü, Peijie Jiang et al.
6 citations
IEEE/ASME Transactions on Mechatronics
Pelvic and Acetabular Injuries
3.44
article

Navigation System and Human-Robot Collaborative Control Approach for A Series-Parallel Hybrid Pelvic Fracture Reduction Surgical Robot

Yefeng Liang, Lihai Zhang, Shaolin Lü, Peijie Jiang, Bing Li, Ying Hu, Yuanyuan Yang
article en
6 citations

Abstract

Trauma orthopedic robotic systems play a crucial role in assisting surgeons with precise control and minimally invasive procedures. Nevertheless, key technologies such as output force, navigation, and operational performance in robot-assisted pelvic fracture reduction surgery require further development. This article introduces an improved serial-parallel hybrid robot system designed to manage the high forces involved in surgery. The system integrates surgeon remote control with autonomous robot control, improving surgical flexibility and precision. Additionally, a navigation system employing dual-view 2D-3D registration algorithms and optical tracking technology enables real-time observation of fragments for accurate reduction operations. Experimental results show that the navigation system established based on dual-view 2D-3D registration algorithms achieves an accuracy of 1.83 ± 0.03 mm, providing real-time feedback on fragment's positions. In in vitro pelvic fracture reduction experiments, the system exhibits an average reduction error of 2.27 ± 0.31 mm and 0.58 ± 0.17°, categorizing it as excellent. Meanwhile, the closed-loop control approach established can accurately track the planned path. Guided by skilled surgeons and autonomy, the proposed system significantly enhances flexibility and precision in pelvic fracture surgery, addressing both clinical and technical challenges.

IEEE/ASME Transactions on MechatronicsVol. 30(5)
Chinese Academy of Sciences (CN), Harbin Institute of Technology (CN), Chinese PLA General Hospital (CN), Shenzhen Institutes of Advanced Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 7%
Pelvic and Acetabular Injuries
3.44
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