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Related Experiment Video

Updated: Nov 12, 2025

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Robotized Testing of Camera Positions to Determine Ideal Configuration for Stereo 3D Visualization of Open-Heart Surgery

Published on: August 12, 2021

Camera-Robot Calibration for the da Vinci® Robotic Surgery System.

Orhan Özgüner¹, Thomas Shkurti¹, Siqi Huang¹

¹Department of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH.

IEEE Transactions on Automation Science and Engineering : a Publication of the IEEE Robotics and Automation Society

|March 22, 2021

Summary

A new method improves surgical robot accuracy by precisely calibrating the endoscopic camera and robotic arms. This visual guidance system enhances robotic surgery performance and precision for complex procedures.

Keywords:

Medical Robots and Systems Surgical Robotics: Laparoscopy da Vinci Research Kit (dVRK)

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Related Experiment Videos

Last Updated: Nov 12, 2025

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Published on: August 12, 2021

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Published on: May 11, 2020

Area of Science:

Robotics
Surgical Technology
Medical Imaging

Background:

Autonomous and semi-autonomous surgical robots promise enhanced performance but require precise hand-eye calibration.
Accurate calibration between endoscopic cameras and patient-side manipulator arms (PSMs) is crucial for robotic surgery.
Existing calibration methods for systems like the da Vinci® surgical robot have limitations.

Purpose of the Study:

To present a novel, efficient method for hand-eye calibration in robotic surgery systems.
To improve the spatial relationship computation between the endoscopic camera and PSMs.
To enhance the accuracy and intraoperative adaptability of robotic surgical systems.

Main Methods:

Developed a method combining image processing and optical tracking to compute coordinate transformations.
Calculated transformations between the camera view frame and a camera-affixed marker.
Utilized PSM kinematics to compute transformations between the PSM base frame and a PSM-affixed marker.
Determined the spatial relationship using a single snapshot of both markers.

Main Results:

Successfully guided the PSM end effector to points of interest identified via the camera.
Demonstrated effectiveness in a surgical task: grasping a surgical needle.
Achieved superior visually-guided robot positioning accuracy compared to previous da Vinci® system calibration methods.
Enabled intraoperative updates to the calibration using standard surgical equipment.

Conclusions:

The proposed method offers a more accurate and adaptable solution for hand-eye calibration in robotic surgery.
This technique enhances the precision of autonomous and semi-autonomous surgical robots.
The approach utilizes commonly available surgical devices, facilitating clinical integration.