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Autonomous Robot for Removing Superficial Traumatic Blood.

Baiquan Su¹, Shi Yu¹, Xintong Li¹

¹Medical Robotics Laboratory, School of AutomationBeijing University of Posts and TelecommunicationsBeijing100876China.

IEEE Journal of Translational Engineering in Health and Medicine

|February 18, 2021

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This study introduces an autonomous robotic system for surgical blood removal, reducing surgeon fatigue and improving patient safety during operations. The novel system effectively cleans incisions, offering a new solution for this critical surgical task.

Area of Science:

Robotics
Surgical Technology
Medical Devices

Background:

Manual blood removal during surgery is labor-intensive and can lead to surgeon fatigue.
Effective blood management is crucial for patient safety and surgical outcomes.
Current methods rely on manual techniques, highlighting a need for automation.

Purpose of the Study:

To design and develop an autonomous robotic system for efficient blood removal from surgical incision sites.
To automate the repetitive task of blood clearance, thereby reducing surgeon workload and fatigue.
To enhance surgical safety and efficiency through robotic assistance.

Main Methods:

A robotic system was designed, incorporating dual cameras, a 6-DoF robotic arm, and an integrated aspirator.

Keywords:

Blood removal contour detection medical robot task autonomy

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A path-planning algorithm was developed to guide the aspirator tip for optimal blood removal.

The system was tested using simulated bleeding experiments on ex vivo porcine tissue.

Main Results:

The system successfully detected blood region contours and reconstructed their spatial coordinates.
The autonomous blood removal robot (BRR) effectively cleared blood from simulated incisions.
Experimental results demonstrated the robot's capability in thorough blood removal.

Conclusions:

This research presents the first autonomous medical robot designed specifically for blood removal during surgery.
The developed BRR robot successfully automates a critical surgical skill traditionally performed manually by surgeons.
The findings suggest a potential for robotic systems to assist surgeons in managing intraoperative bleeding.