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Bone Remodeling01:40

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Bone remodeling is a continuous and balanced process of bone resorption by osteoclasts and bone formation by osteoblasts. In adults, it helps maintain bone mass and calcium homeostasis. While mechanical stress can stimulate turnover as part of the normal maintenance and reparative process, several hormones also regulate bone remodeling.
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Related Experiment Video

Updated: Aug 8, 2025

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
06:24

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement

Published on: May 11, 2020

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A semi-autonomous robot control based on bone layer transition detection for a safe pedicle tapping.

Clemente Lauretti1, Francesca Cordella2, Ilenia Saltarelli2

  • 1Unit of Advanced Robotics and Human-Centred Technologies (CREO lab), Università Campus Bio-Medico, Via Alvaro del Portillo 21, 00128, Roma, Italy. c.lauretti@unicampus.it.

International Journal of Computer Assisted Radiology and Surgery
|March 6, 2023
PubMed
Summary

This study introduces a new semi-autonomous robotic control for spinal surgery pedicle tapping. It adapts tool speed to bone density, improving thread quality and preventing bone damage during robotic surgery.

Keywords:
Human-in-the-loop controlRobotic surgerySpinal surgeryTapping procedure

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Area of Science:

  • Robotics in Medicine
  • Surgical Automation
  • Biomechanical Engineering

Background:

  • Current robotic platforms for spinal surgery primarily focus on drilling, lacking adaptive control for pedicle tapping.
  • Inadequate tuning of surgical tool speed relative to bone density can lead to poor thread quality in robot-aided pedicle tapping.
  • Optimizing tool-bone interaction is crucial for enhancing the precision and safety of automated surgical procedures.

Purpose of the Study:

  • To develop a novel semi-autonomous control system for robot-aided pedicle tapping.
  • To enable the system to identify bone layer transitions and adapt tool velocity based on detected bone density.
  • To ensure the surgical tool tip stops before breaching bone boundaries, enhancing safety.

Main Methods:

  • Implementation of a hybrid position/force control loop for guided tool movement along a pre-planned axis.
  • Integration of a velocity control loop that modulates tool rotational speed based on tool-bone interaction force.
  • Inclusion of a bone layer transition detection algorithm within the velocity control loop to dynamically limit tool velocity.

Main Results:

  • Achieved a normalized maximum time delay of 0.25 in bone layer transition detection.
  • Demonstrated a high success rate across all tested tool velocities.
  • Recorded a maximum steady-state error of 0.4 rpm in tool velocity control.

Conclusions:

  • The proposed semi-autonomous control effectively detects transitions between bone layers.
  • The system successfully adapts surgical tool velocities in response to detected bone density variations.
  • This approach shows significant potential for improving the quality and safety of robot-aided pedicle tapping.