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Updated: May 1, 2026

A Spine Robotic-Assisted Navigation System for Pedicle Screw Placement
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Needle Path Planning for Autonomous Robotic Surgical Suturing.

Russell C Jackson1, M Cenk Cavuşoğlu1

  • 1The department of Electrical Engineering and Computer Science (EECS) at Case Western Reserve University in Cleveland, OH.

IEEE International Conference on Robotics and Automation : ICRA : [Proceedings]. IEEE International Conference on Robotics and Automation
|April 1, 2014
PubMed
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This study presents novel path plans for robotic suture needles in endoscopic surgery, mimicking surgeon techniques to minimize tissue interaction forces. Experiments validate two distinct needle-driving methods for improved surgical outcomes.

Area of Science:

  • Robotics in Surgery
  • Minimally Invasive Procedures
  • Biomedical Engineering

Background:

  • Endoscopic surgery requires precise instrument control.
  • Suture needle manipulation in solid tissues presents challenges.
  • Minimizing tissue-needle interaction forces is crucial for patient safety.

Purpose of the Study:

  • To develop and compare two robotic path planning techniques for suture needles in endoscopic surgery.
  • To base these techniques on established surgeon best practices.
  • To reduce forces exerted on tissue during suturing.

Main Methods:

  • Development of two distinct suture needle path plans based on surgical guides.
  • Robotic implementation of the developed motion plans.

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  • Hardware experiments to compare the performance of the two techniques.
  • Main Results:

    • Successful robotic driving of suture needles using the developed path plans.
    • Experimental comparison of the two techniques demonstrated differences in performance (specific metrics not detailed in abstract).
    • Path planning based on surgeon techniques can be robotically executed.

    Conclusions:

    • The developed path plans offer a robotic approach to suture needle manipulation in endoscopic surgery.
    • The study provides a foundation for more advanced robotic suturing systems.
    • Minimizing interaction forces is achievable through optimized path planning.