Human-Robot Interfaces of the Neuroboscope: a Minimally Invasive Endoscopic Pituitary Tumor Surgery Robotic Assistance System

dc.contributor.author Dede, Mehmet İsmet Can
dc.contributor.author Kiper, Gökhan
dc.contributor.author Ayav, Tolga
dc.contributor.author Özdemirel, Barbaros
dc.contributor.author Tatlıcıoğlu, Enver
dc.contributor.author Hanalioğlu, Şahin
dc.contributor.author Işıkay, İlkay
dc.date.accessioned 2021-11-06T09:49:32Z
dc.date.available 2021-11-06T09:49:32Z
dc.date.issued 2021
dc.description.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. en_US
dc.description.sponsorship Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (Grant Nos. 115E725 and 115E726; Funder ID: 10.13039/501100004410). en_US
dc.identifier.doi 10.1115/1.4049394
dc.identifier.issn 1932-6181
dc.identifier.issn 1932-619X
dc.identifier.scopus 2-s2.0-85107958529
dc.identifier.uri https://doi.org/10.1115/1.4049394
dc.identifier.uri https://hdl.handle.net/11147/11447
dc.language.iso en en_US
dc.publisher ASME en_US
dc.relation.ispartof Journal of Medical Devices, Transactions of the ASME en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Robotic surgery en_US
dc.title Human-Robot Interfaces of the Neuroboscope: a Minimally Invasive Endoscopic Pituitary Tumor Surgery Robotic Assistance System en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.id 0000-0001-8793-724X
gdc.author.id 0000-0001-6220-6678
gdc.author.id Izmir Institute of Technology. Electrical and Electronics Engineering
gdc.author.id 0000-0001-8793-724X en_US
gdc.author.id 0000-0001-6220-6678 en_US
gdc.author.wosid Kiper, Gokhan/N-8325-2014
gdc.author.wosid Dede, Mehmet Ismet Can/V-6348-2019
gdc.bip.impulseclass C5
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gdc.coar.access open access
gdc.coar.type text::journal::journal article
gdc.collaboration.industrial false
gdc.description.department İzmir Institute of Technology. Mechanical Engineering en_US
gdc.description.department İzmir Institute of Technology. Computer Engineering en_US
gdc.description.issue 1 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.volume 15 en_US
gdc.description.wosquality Q4
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gdc.oaire.keywords Learning curves
gdc.oaire.keywords endoscopic pituitary surgery
gdc.oaire.keywords Social robots
gdc.oaire.keywords Article
gdc.oaire.keywords hypophysis tumor
gdc.oaire.keywords Robot-assisted surgery
gdc.oaire.keywords Surgical equipment
gdc.oaire.keywords Physical interactions
gdc.oaire.keywords human
gdc.oaire.keywords Minimally invasive
gdc.oaire.keywords minimally invasive surgery
gdc.oaire.keywords Tumors
gdc.oaire.keywords Robot surgery
gdc.oaire.keywords Robot interactions
gdc.oaire.keywords Endoscopy
gdc.oaire.keywords Robotic surgery
gdc.oaire.keywords Robotics
gdc.oaire.keywords Assistance system
gdc.oaire.keywords Robot interface
gdc.oaire.keywords learning curve
gdc.oaire.keywords robot assisted surgery
gdc.oaire.keywords Machine design
gdc.oaire.keywords Surgery
gdc.oaire.popularity 4.963474E-9
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gdc.oaire.sciencefields 0209 industrial biotechnology
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.sciencefields 03 medical and health sciences
gdc.oaire.sciencefields 0302 clinical medicine
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gdc.opencitations.count 3
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gdc.scopus.citedcount 7
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