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IBL-26-1023

Bone Fragment Positioning Control System and Method Using a Robot

Listed on
2026-07-13
Robotics Technology Robot Arm/Manipulator Control/AI/SW
0.03
CI (SI)
★★★★★★★★★★
0.47
TR (N)
★★★★★★★★★★
0.06
MC
★★★★★★★★★★

This technology is a bone fragment positioning control system and method using a robot that synchronizes the coordinate systems between medical image-based surgical planning and the actual surgical environment through a two-stage registration process, and automatically controls the movement of bone fragments by setting anatomical landmarks as the center point of the robotic tool.

Conventional surgical robots have faced issues where the process of manually setting anatomical landmarks by surgeons is time-consuming, and registration accuracy can be compromised by the surgeon's level of expertise or environmental factors.

This technology proposes a method that calculates the displacement between the actual model in pre-operative medical images and the virtual model post-surgery, performs coordinate system registration through marker-based displacement tracking of the robotic end-effector and bone fragments, and generates control signals by mapping landmarks to the robotic tool's origin. This approach reduces registration time and improves surgical accuracy. It can be utilized for fracture reduction surgeries in orthopedics and oral and maxillofacial surgery, shortening the time required for registration and reducing reliance on surgeon expertise to ensure consistent surgical outcomes.

Key Features:
  • Configuration for calculating displacement between the actual model in pre-operative medical images and the virtual model post-surgery
  • Two-stage registration unit that aligns coordinate systems through marker-based displacement tracking of the robotic end-effector and bone fragments
  • Configuration for mapping anatomical landmarks by setting them as the Tool Center Point (TCP) of the robot
  • Control signal generation unit that automatically controls the movement of bone fragments based on the mapped landmarks
Seoul National University
Seoul National University R&DB Foundation | Won-Jin Lee, Sang-Yoon Woo
Document
Date of application:
2017-08-18
|
Patent registration number:
10-1985915
Industry
healthcare•pharm
robot•automation
Technology
Medical devices
Robotics
Country
Korea
Family Patent

N/A

Price
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