A Precise Calibration Method for the Robot-Assisted Percutaneous Puncture System

The precision and stability of the Robot-Assisted Percutaneous Puncture (RAPP) system have become increasingly crucial with the widespread integration of robotic technology in the field of medicine. The accurate calibration of the RAPP system prior to surgery significantly influences target position...

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Main Authors: Jinbiao Li, Minghui Li, Quan Zeng, Cheng Qian, Tao Li, Shoujun Zhou
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Electronics
Subjects:
Online Access:https://www.mdpi.com/2079-9292/12/23/4857
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author Jinbiao Li
Minghui Li
Quan Zeng
Cheng Qian
Tao Li
Shoujun Zhou
author_facet Jinbiao Li
Minghui Li
Quan Zeng
Cheng Qian
Tao Li
Shoujun Zhou
author_sort Jinbiao Li
collection DOAJ
description The precision and stability of the Robot-Assisted Percutaneous Puncture (RAPP) system have become increasingly crucial with the widespread integration of robotic technology in the field of medicine. The accurate calibration of the RAPP system prior to surgery significantly influences target positioning performance. This study proposes a novel system calibration method that simultaneously addresses system hand–eye calibration and robot kinematic parameters calibration, thereby enhancing the surgery success rate and ensuring patient safety. Initially, a Closed-loop Hand–eye Calibration (CHC) method is employed to rapidly establish transformation relationships among system components. These CHC results are then integrated with nominal robot kinematic parameters to preliminarily determine the system calibration parameters. Subsequently, a hybrid algorithm, combining the regularized Levenberg–Marquardt (LM) algorithm and a particle filtering algorithm, is utilized to accurately estimate the system calibration parameters in stages. Numerical simulations and puncture experiments were conducted using the proposed system calibration method and other comparative methods. The experimental results revealed that, among several comparative methods, the approach presented in this paper yields the greatest improvement in the puncture accuracy of the RAPP system, demonstrating the accuracy and effectiveness of this method. In conclusion, this calibration method significantly contributes to enhancing the precision, operational capability, and safety of the RAPP system in practical applications.
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spelling doaj.art-94ea02c59d2b480fab3bde9e47c65ecb2023-12-08T15:14:16ZengMDPI AGElectronics2079-92922023-12-011223485710.3390/electronics12234857A Precise Calibration Method for the Robot-Assisted Percutaneous Puncture SystemJinbiao Li0Minghui Li1Quan Zeng2Cheng Qian3Tao Li4Shoujun Zhou5College of Mechanical and Electrical Engineering, Shaanxi University of Science & Technology, Xi’an 710021, ChinaCollege of Mechanical and Electrical Engineering, Shaanxi University of Science & Technology, Xi’an 710021, ChinaShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaShenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, ChinaThe precision and stability of the Robot-Assisted Percutaneous Puncture (RAPP) system have become increasingly crucial with the widespread integration of robotic technology in the field of medicine. The accurate calibration of the RAPP system prior to surgery significantly influences target positioning performance. This study proposes a novel system calibration method that simultaneously addresses system hand–eye calibration and robot kinematic parameters calibration, thereby enhancing the surgery success rate and ensuring patient safety. Initially, a Closed-loop Hand–eye Calibration (CHC) method is employed to rapidly establish transformation relationships among system components. These CHC results are then integrated with nominal robot kinematic parameters to preliminarily determine the system calibration parameters. Subsequently, a hybrid algorithm, combining the regularized Levenberg–Marquardt (LM) algorithm and a particle filtering algorithm, is utilized to accurately estimate the system calibration parameters in stages. Numerical simulations and puncture experiments were conducted using the proposed system calibration method and other comparative methods. The experimental results revealed that, among several comparative methods, the approach presented in this paper yields the greatest improvement in the puncture accuracy of the RAPP system, demonstrating the accuracy and effectiveness of this method. In conclusion, this calibration method significantly contributes to enhancing the precision, operational capability, and safety of the RAPP system in practical applications.https://www.mdpi.com/2079-9292/12/23/4857percutaneous puncturesystem calibrationparameters identificationLevenberg–Marquardtparticle filter
spellingShingle Jinbiao Li
Minghui Li
Quan Zeng
Cheng Qian
Tao Li
Shoujun Zhou
A Precise Calibration Method for the Robot-Assisted Percutaneous Puncture System
Electronics
percutaneous puncture
system calibration
parameters identification
Levenberg–Marquardt
particle filter
title A Precise Calibration Method for the Robot-Assisted Percutaneous Puncture System
title_full A Precise Calibration Method for the Robot-Assisted Percutaneous Puncture System
title_fullStr A Precise Calibration Method for the Robot-Assisted Percutaneous Puncture System
title_full_unstemmed A Precise Calibration Method for the Robot-Assisted Percutaneous Puncture System
title_short A Precise Calibration Method for the Robot-Assisted Percutaneous Puncture System
title_sort precise calibration method for the robot assisted percutaneous puncture system
topic percutaneous puncture
system calibration
parameters identification
Levenberg–Marquardt
particle filter
url https://www.mdpi.com/2079-9292/12/23/4857
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