4.7 Article

Semiautonomous Robotic Manipulator for Minimally Invasive Aortic Valve Replacement

期刊

IEEE TRANSACTIONS ON ROBOTICS
卷 -, 期 -, 页码 -

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TRO.2023.3315966

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Aortic valve surgery; minimally invasive surgery (MIS); robotic surgical endoscopy; surgical manipulator control; surgical navigation

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This article presents the application of the Valve Tech robotic platform in aortic valve surgery, achieving accurate delivery and positioning of artificial valves through teleoperation and endoscopic vision. The authors propose a force observer and a hybrid force/shape observer algorithm, and demonstrate their effectiveness through experiments.
Aortic valve surgery is the preferred procedure for replacing a damaged valve with an artificial one. The Valve Techrobotic platform comprises a flexible articulated manipulator and surgical interface supporting the effective delivery of an artificial valve by teleoperation and endoscopic vision. This article presents our recent work on force-perceptive, safe, semiautonomous navigation of the Valve Tech platform prior to valve implantation. First, we present a force observer that transfers forces from the manipulator body and tip to a haptic interface. Second, we demonstrate how hybrid forward/inverse mechanics, together with endoscopic visual servoing, lead to autonomous valve positioning. Benchtop experiments and an artificial phantom quantify the performance of the developed robot controller and navigator. Valves can be autonomously delivered with a 2.0 +/- 0.5 mm position error and a minimal misalignment of 3.4 +/- 0.9 degrees. The hybrid force/shape observer(FSO) algorithm was able to predict distributed external forces on the articulated manipulator body with an average error of 0.09 N.FSO can also estimate loads on the tip with an average accuracy of3.3%. The presented system can lead to better patient care, delivery outcome, and surgeon comfort during aortic valve surgery, without requiring sensorization of the robot tip, and therefore obviating miniaturization constraints.

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