Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/11447
Title: Human-Robot Interfaces of the Neuroboscope: a Minimally Invasive Endoscopic Pituitary Tumor Surgery Robotic Assistance System
Authors: Dede, Mehmet İsmet Can
Kiper, Gökhan
Ayav, Tolga
Özdemirel, Barbaros
Tatlıcıoğlu, Enver
Hanalioğlu, Şahin
Işıkay, İlkay
Keywords: Robotic surgery
Publisher: ASME
Abstract: Endoscopic endonasal surgery is a commonly practiced minimally invasive neurosurgical operation for the treatment of a wide range of skull base pathologies including pituitary tumors. A common shortcoming of this surgery is the necessity of a third hand when the endoscope has to be handled to allow active use of both hands of the main surgeon. The robot surgery assistant NeuRoboScope system has been developed to take over the endoscope from the main surgeon's hand while providing the surgeon with the necessary means of controlling the location and direction of the endoscope. One of the main novelties of the NeuRoboScope system is its human-robot interface designs which regulate and facilitate the interaction between the surgeon and the robot assistant. The human-robot interaction design of the NeuRoboScope system is investigated in two domains: direct physical interaction (DPI) and master-slave teleoperation (MST). The user study indicating the learning curve and ease of use of the MST is given and this paper is concluded via providing the reader with an outlook of possible new human-robot interfaces for the robot assisted surgery systems.
URI: https://doi.org/10.1115/1.4049394
https://hdl.handle.net/11147/11447
ISSN: 1932-6181
1932-619X
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Mechanical Engineering / Makina Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File SizeFormat 
med_015_01_011106.pdf2.37 MBAdobe PDFView/Open
Show full item record



CORE Recommender

SCOPUSTM   
Citations

3
checked on Dec 21, 2024

WEB OF SCIENCETM
Citations

3
checked on Dec 7, 2024

Page view(s)

11,900
checked on Dec 16, 2024

Download(s)

300
checked on Dec 16, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.