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Related Experiment Video

Updated: May 6, 2026

Building An Open-source Robotic Stereotaxic Instrument

Building An Open-source Robotic Stereotaxic Instrument

Published on: October 29, 2013

Design of intelligent human-machine collaborative robot-assisted craniotomy system.

Meng Cui¹, Wenqing Ren², Tengfei Cui³

¹Department of Emergency Medicine, The Sixth Medical Center, Chinese PLA General Hospital, Beijing, 100048, China.

|December 10, 2024

Summary

This study developed an intelligent robot-assisted craniotomy system for enhanced surgical precision. The system demonstrated superior accuracy, efficiency, and safety compared to traditional manual methods in experimental trials.

Keywords:

Craniotomy Human-machine collaboration Image-guided surgery Medical robotics

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Last Updated: May 6, 2026

Building An Open-source Robotic Stereotaxic Instrument

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Published on: October 29, 2013

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Published on: January 6, 2023

Area of Science:

Robotics in Medicine
Neurosurgical Technology
Human-Machine Interaction

Background:

Craniotomy procedures require high precision and safety.
Existing methods may have limitations in accuracy and efficiency.
Advancements in robotics offer potential solutions for surgical enhancement.

Purpose of the Study:

To develop an intelligent human-machine collaborative robot-assisted craniotomy system.
To experimentally evaluate the system's accuracy, efficiency, and safety.

Main Methods:

Integrated a UR5 robotic arm, force sensor, medical drill, and optical navigation system.
Developed a custom navigation procedure and graphical user interface (GUI).
Tested the system on 3D-printed skull models and Bama mini pigs.

Main Results:

The robot-assisted system showed significantly reduced average positioning error (1.87 mm vs 3.14 mm on models; 3.26 mm vs 4.39 mm on pigs).
Shorter procedure times were observed with the robot system (6.64 min vs 8.06 min on models; 11.83 min vs 26.10 min on pigs).
The system provided sensitive force feedback and demonstrated a trend towards reduced tissue injury.

Conclusions:

The developed human-machine collaborative robot-assisted craniotomy system performs fluently with sensitive force feedback.
The system outperformed manual surgery in accuracy, efficiency, and safety during experimental tests.
Further research is needed to confirm its applicability in clinical neurosurgery.