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.

Semiautonomous Robotic Manipulator for Minimally Invasive Aortic Valve Replacement

Mamone, Virginia;Ferrari, Vincenzo;Menciassi, Arianna
2023-01-01

Abstract

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.
2023
Tamadon, Izadyar; Sadati, S. M. Hadi; Mamone, Virginia; Ferrari, Vincenzo; Bergeles, Christos; Menciassi, Arianna
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1242498
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