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Related Experiment Video

Updated: Jul 5, 2025

Author Spotlight: Revolutionizing Remote Surgery with Augmented Reality and Robotics for Enhanced Precision and Accessibility
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Semiautonomous Robotic Manipulator for Minimally Invasive Aortic Valve Replacement.

Izadyar Tamadon1, S M Hadi Sadati2, Virginia Mamone3

  • 1Faculty of Engineering Technology, University of Twente, 7522 NB Enschede, The Netherlands, and also with the BioRobotics Institute, Scuola Superiore Sant'Anna, 56025 Pontedera, Italy.

IEEE Transactions on Robotics : a Publication of the IEEE Robotics and Automation Society
|January 22, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a robotic system for safer aortic valve replacement surgery. The ValveTech platform enables precise, semi-autonomous navigation and delivery of artificial valves, improving patient outcomes.

Keywords:
Aortic valve surgeryminimally invasive surgery (MIS)robotic surgical endoscopysurgical manipulator controlsurgical navigation

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Area of Science:

  • Robotics in Medicine
  • Surgical Engineering
  • Medical Device Technology

Background:

  • Aortic valve surgery is crucial for treating damaged valves.
  • Existing robotic platforms aim to enhance surgical precision and outcomes.
  • The ValveTech platform offers a flexible manipulator for artificial valve delivery.

Purpose of the Study:

  • To develop and evaluate a force-perceptive, safe, and semi-autonomous navigation system for the ValveTech robotic platform.
  • To enable precise positioning of artificial valves prior to implantation during aortic valve surgery.

Main Methods:

  • Implementation of a force observer to transfer manipulator forces to a haptic interface.
  • Utilizing hybrid forward/inverse mechanics and endoscopic visual servoing for autonomous valve positioning.
  • Quantifying performance using benchtop experiments and an artificial phantom.

Main Results:

  • Autonomous valve delivery achieved with a position error of 2.0±0.5 mm and misalignment of 3.4±0.9°.
  • The hybrid force/shape observer (FSO) accurately predicted external forces on the manipulator (0.09 N error) and tip loads (3.3% accuracy).
  • The system operates effectively without requiring tip sensorization, avoiding miniaturization challenges.

Conclusions:

  • The developed force-perceptive navigation system enhances the safety and precision of robotic aortic valve surgery.
  • This technology has the potential to improve patient care, surgical outcomes, and surgeon comfort.
  • The ValveTech platform's semi-autonomous capabilities represent a significant advancement in minimally invasive cardiac procedures.