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Physician-Friendly Tool Center Point Calibration Method for Robot-Assisted Puncture Surgery.
Leifeng Zhang1, Changle Li1, Yilun Fan1
1State Key Laboratory of Robotics and Systems, Harbin Institute of Technology, Harbin 150001, China.
Sensors (Basel, Switzerland)
|January 12, 2021
Summary
This study introduces a new vision-based method for robot tool center point (TCP) calibration, improving accuracy and reducing time for robot-assisted surgery. The enhanced method offers better stability and less operational dependence compared to traditional approaches.
Area of Science:
- Robotics
- Medical Imaging
- Surgical Technology
Background:
- Precise robot end-tool control requires Tool Center Point (TCP) calibration after each tool replacement.
- This calibration is critical for accurate robot-assisted puncture surgery.
- Traditional TCP calibration methods suffer from poor accuracy stability and high operational dependence.
Purpose of the Study:
- To address limitations of traditional TCP calibration methods.
- To propose a more physician-friendly TCP calibration technique.
- To enhance accuracy, stability, and reduce operational dependence in TCP calibration.
Main Methods:
- Design of a specialized binocular vision system.
- Development of a vision-based algorithm for simultaneous Tool Center Point Position (TCPP) and Tool Center Point Frame (TCPF) identification.
- Accuracy and comparison experiments evaluating the new method against traditional techniques.
Main Results:
- The specialized binocular system achieved a positioning accuracy of ±0.05 mm.
- Robot configuration set magnitude was identified as a key factor for TCPP accuracy.
- The proposed method reduced time consumption by 82%, improved TCPP accuracy by 65%, and TCPF accuracy by 52%.
Conclusions:
- The proposed vision-based TCP calibration method offers superior accuracy, stability, and efficiency over traditional methods.
- The technique is less dependent on user operations, making it suitable for physicians.
- This advancement positively impacts the clinical application of high-precision robot-assisted puncture surgery.

