Guangming Xia

Orcid: 0000-0002-3024-3658

According to our database1, Guangming Xia authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
A Cutter Vibration Signal Processing-Based State Monitoring Method for Improving Operation Safety of Spinal Automatic Drilling System.
IEEE Trans. Circuits Syst. II Express Briefs, August, 2024

Sound Feedback Fuzzy Control for Optimizing Bone Milling Operation During Robot-Assisted Laminectomy.
IEEE Trans. Fuzzy Syst., April, 2024

Pedicle drilling force control of a robotic surgical system via spine-soft tissue coupling model and parameters optimization.
Comput. Biol. Medicine, February, 2024

Tactile Perception-Based Depth and Angle Control During Robot-Assisted Bent Bone Grinding.
IEEE Trans. Ind. Informatics, January, 2024

Bone Layer Proportion Recognition and Cutting Depth Control Based on Intraoperative Signal Processing in Robotic Laminectomy.
IEEE Trans. Instrum. Meas., 2024

Attention-Based CNN-LSTM for Enhanced Perception of Bone Milling States in Surgical Robots.
IEEE Trans. Instrum. Meas., 2024

Viscoelastic modeling based force control framework for enhancing operation safety of soft tissue for orthopedic surgical robots.
Comput. Biol. Medicine, 2024

Series Elastic Actuator Vibration Suppression Method Based on Internal Model Control.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2024

2023
High-Sensitivity and Wide-Range Resistance Measurement Based on Self-Balancing Wheatstone Bridge and Gated Recurrent Neural Network.
IEEE Trans. Ind. Electron., 2023

2022
Vertebral Lamina State Estimation in Robotic Bone Milling Process via Vibration Signals Fusion.
IEEE Trans. Instrum. Meas., 2022

Vibration-Based Cutting Depth Control and Angle Adjustment of Robotic Curved Bone Milling.
IEEE Trans. Instrum. Meas., 2022

2021
Cutting Depth Compensation Based on Milling Acoustic Signal for Robotic-Assisted Laminectomy.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021


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