Your browser doesn't support javascript.
loading
Semiautonomous Robotic Manipulator for Minimally Invasive Aortic Valve Replacement.
Tamadon, Izadyar; Sadati, S M Hadi; Mamone, Virginia; Ferrari, Vincenzo; Bergeles, Christos; Menciassi, Arianna.
Afiliação
  • Tamadon I; Faculty of Engineering Technology, University of Twente, 7522 NB Enschede, The Netherlands, and also with the BioRobotics Institute, Scuola Superiore Sant'Anna, 56025 Pontedera, Italy.
  • Sadati SMH; Robotics and Vision Department in Medicine Lab, School of Biomedical Engineering & Imaging Sciences, King's College London, SE17EU London, U.K.
  • Mamone V; Department of Computer Science and the EndoCAS Center for Computer-Assisted Surgery, University of Pisa, 56124 Pisa, Italy.
  • Ferrari V; Department of Computer Science and the EndoCAS Center for Computer-Assisted Surgery, University of Pisa, 56124 Pisa, Italy.
  • Bergeles C; Robotics and Vision Department in Medicine Lab, School of Biomedical Engineering & Imaging Sciences, King's College London, SE17EU London, U.K.
  • Menciassi A; BioRobotics Institute, Scuola Superiore Sant'Anna, 56025 Pontedera, Italy.
IEEE Trans Robot ; 39(6): 4500-4519, 2023 Dec.
Article em En | MEDLINE | ID: mdl-38249319
ABSTRACT
Aortic valve surgery is the preferred procedure for replacing a damaged valve with an artificial one. The ValveTech robotic 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 ValveTech 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°. 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 of 3.3%. 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.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: IEEE Trans Robot Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: IEEE Trans Robot Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Itália