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Title: Enabling personalization of a robotic surgery procedure via a surgery training simulator
Authors: Dede, Mehmet İsmet Can
Büyüköztekin, Tarık
Hanalıoğlu, Şahin
Işıkay, İlkay
Berker, Mustafa
Izmir Institute of Technology
Izmir Institute of Technology
Hacettepe Üniversitesi
Hacettepe Üniversitesi
Hacettepe Üniversitesi
Keywords: Robotic surgery
Surgical robotics
Endoscopic skull bas surgery
Issue Date: Jul-2022
Publisher: Cambridge University Press
Abstract: Although robotic or robot-assisted surgery has been increasingly used by many surgical disciplines, its application in cranial or skull base surgery is still in its infancy. Master-slave teleoperation setting of these robotic systems enables these surgical procedures to be replicated in a virtual reality environment for surgeon training purposes. A variety of teleoperation modes were previously determined with respect to the motion capability of the surgeon's hand that wears the ring as the surgeon handles a surgical tool inside the surgical workspace. In this surgery training simulator developed for a robot-assisted endoscopic skull base surgery, a new strategy is developed to identify the preferred motion axes of the surgeon. This simulator is designed specifically for tuning the teleoperation system for each surgeon via the identification. This tuning capability brings flexibility to adjust the system operation with respect to the motion characteristics of the surgeon.
Appears in Collections:Mechanical Engineering / Makina Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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