3-Axial Force Self Fault-Tolerant Decoupling of Surgical Forceps Integrating Step-Coated FBG for Spinal Endoscopic Robot

This work proposed surgical forceps as a sensor that integrated step-coated Fiber Bragg Grating (FBG) for the 3-axial force sensing in the percutaneous spinal endoscopic robot. The step-coated FBG achieved a reflection spectrum with double wavelength peaks, providing more wavelength signals for fault-tolerant decoupling. The temperature and force sensitivity were regulated by adjusting the coating size to reduce decoupling error to 3.68% F.S, solving the span temperature (≥ 20 °C) disturbance from the operating room to the operative area. The optical fiber metallization and laser welding package was proposed to achieve stable connections between the quartz optical fiber and metal forceps. The innovative package made the forceps tolerate 180 °C dry-heat sterilization and aqueous erosion, allowing for sterilized reuse (11 times with error lower than 4.98% F.S) and long-term stability (one month with error lower than 4.36% F.S). A Wavelet Fuzzy Entropy (WFE) and Extreme Learning Machine (ELM) based dynamic fault-tolerant decoupling strategy was proposed. The WFE-ELM reduced the sensor error to 4.42% F.S. under the influence of spectrum chirp noise and single-branch FBG breakage, and the fault-tolerant recovery rate within 10% F.S. error was raised to 40.23%. The designed surgical instruments were integrated with a spinal endoscopic surgical robot to conduct the spine model and pig experiments, verifying its force-sensing effectiveness.

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Publication Details

Journal
IEEE Transactions on Automation Science and Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tase.2025.3585161
Citations
5
Primary Topic
Soft Robotics and Applications
Type
article
Field-Weighted Citation Impact
3.37

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article

3-Axial Force Self Fault-Tolerant Decoupling of Surgical Forceps Integrating Step-Coated FBG for Spinal Endoscopic Robot

Tianliang Li, Yuegang Tan, Mingchang Du, Chen Zhao et al.
5 citations
IEEE Transactions on Automation Science and Engineering
Soft Robotics and Applications
3.37
article

3-Axial Force Self Fault-Tolerant Decoupling of Surgical Forceps Integrating Step-Coated FBG for Spinal Endoscopic Robot

Tianliang Li, Yuegang Tan, Mingchang Du, Chen Zhao, Xingguang Duan, Changsheng Li, Haiying Liu, Kaifeng Wang, Jun Wang, Fan Hong, Weiwei Xia, Jinpeng Diao
article en
5 citations

Abstract

This work proposed surgical forceps as a sensor that integrated step-coated Fiber Bragg Grating (FBG) for the 3-axial force sensing in the percutaneous spinal endoscopic robot. The step-coated FBG achieved a reflection spectrum with double wavelength peaks, providing more wavelength signals for fault-tolerant decoupling. The temperature and force sensitivity were regulated by adjusting the coating size to reduce decoupling error to 3.68% F.S, solving the span temperature (≥ 20 °C) disturbance from the operating room to the operative area. The optical fiber metallization and laser welding package was proposed to achieve stable connections between the quartz optical fiber and metal forceps. The innovative package made the forceps tolerate 180 °C dry-heat sterilization and aqueous erosion, allowing for sterilized reuse (11 times with error lower than 4.98% F.S) and long-term stability (one month with error lower than 4.36% F.S). A Wavelet Fuzzy Entropy (WFE) and Extreme Learning Machine (ELM) based dynamic fault-tolerant decoupling strategy was proposed. The WFE-ELM reduced the sensor error to 4.42% F.S. under the influence of spectrum chirp noise and single-branch FBG breakage, and the fault-tolerant recovery rate within 10% F.S. error was raised to 40.23%. The designed surgical instruments were integrated with a spinal endoscopic surgical robot to conduct the spine model and pig experiments, verifying its force-sensing effectiveness.

IEEE Transactions on Automation Science and EngineeringVol. 22
Beijing Institute of Technology (CN), Wuhan University of Technology (CN), Peking University (CN), Wuhan University (CN), Peking University People's Hospital (CN), Renmin Hospital of Wuhan University (CN)
National Natural Science Foundation of China, Key Research and Development Program of Hunan Province of China
Openalex Percentile: Top 8%
Soft Robotics and Applications
3.37
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