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Updated: Jul 8, 2026

A Teleoperated Robotic System-Assisted Percutaneous Transiliac-Transsacral Screw Fixation Technique

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Robot-assisted laser osteotomy system based on dose-effect model-guided feedforward control.

Zeng Kuang¹, Yanping Lin², Shiqi Peng¹

¹State Key Laboratory of Mechanical System and Vibration, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.

Medical & Biological Engineering & Computing

|July 7, 2026

Summary

This summary is machine-generated.

This study developed a robot-assisted laser osteotomy system using dose-effect models for precise bone cutting. The system achieved accurate trajectory and depth control without real-time feedback, paving the way for advanced surgical applications.

Keywords:

Ablation depth prediction Dose–effect model Feedforward control Ho Osteotomy planning Robot-assisted laser osteotomy Surgical robotics YAG laser

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Area of Science:

Medical Robotics
Biomedical Engineering
Laser Surgery

Background:

Precise bone cutting is crucial in surgery.
Existing methods often lack accuracy or require complex feedback systems.

Purpose of the Study:

To develop and evaluate a robot-assisted laser osteotomy system.
To achieve precise control of ablation trajectory and depth using feedforward planning.

Main Methods:

Integrated a Ho:YAG laser with a robotic platform and optical navigation.
Developed tissue-specific dose-effect models from ex vivo porcine bone experiments.
Utilized layered osteotomy planning and feedforward control for ablation path generation.

Main Results:

Achieved mean positional error of 0.85 ± 0.50 mm and angular error of 2.96 ± 1.85 degrees.
Demonstrated accurate ablation depth control with a mean error of 0.51 ± 0.50 mm.
Validated predictable trajectory execution without real-time depth feedback.

Conclusions:

The developed system enables predictable robot-assisted laser osteotomy.
The dose-effect model-guided feedforward planning offers precise trajectory and depth regulation.
Further validation is needed for clinical applicability in complex surgical scenarios.