학술논문

Cutting Depth Compensation Based on Milling Acoustic Signal for Robotic-Assisted Laminectomy
Document Type
Conference
Source
2021 IEEE International Conference on Robotics and Automation (ICRA) Robotics and Automation (ICRA), 2021 IEEE International Conference on. :12464-12469 May, 2021
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Vibrations
Milling
Tools
Harmonic analysis
Bones
Acoustics
Trajectory
Language
ISSN
2577-087X
Abstract
To optimize the cutting depth in robotic-assisted laminectomy, we present a real-time method to adjust the preoperatively planned feed rate in the depth direction of the robot cutting trajectory. Not only the linearity between the harmonic amplitude of the milling acoustic signal and the cutting depth is discussed by analyzing the milling dynamic model, but its influencing variables are analyzed. The amplitude of the harmonic components whose frequency are integer multiples of the spindle frequency of the surgical power tool is extracted by FFT (Fast Fourier transform). A digital PD (Proportional-Differential) controller with a dead zone generates the speed compensation amount according to the deviation of the harmonic amplitude from the expected value. In artificial bone sensitivity test experiments, the cutting depth can be estimated with a resolution of 0.15mm within the cutting depth range of 0-1.2mm by the harmonic amplitude signal. Furthermore, the safety of the proposed method under different bone deformations is verified by cutting depth control experiments.