WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/11147/7150

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Author: search.filters.author.Ayit, OrhanPublisher: search.filters.publisher.Springer

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  • Article
    Citation - WoS: 2
    Citation - Scopus: 4
    A Study on a Computationally Efficient Controller Design for a Surgical Robotic System
    (Springer, 2023) Ayit, Orhan; Dede, Mehmet İsmet Can
    The control algorithms of the surgical robotic system using the robot’s dynamics produce a relatively high computational load on the processor. This paper develops a computationally efficient computed torque controller by using a simplified dynamic modeling method and implemented in a novel surgical robot experimentally. In addition, an independent joint controller is designed and implemented to compare the results of the computed torque controller. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
  • Book Part
    Citation - WoS: 1
    Citation - Scopus: 2
    Viscoelastic Modeling of Human Nasal Tissues With a Mobile Measurement Device
    (Springer, 2019) Işıtman, Oğulcan; Ayit, Orhan; Vardarlı, Eren; Hanalioğlu, Şahin; Işıkay, İlkay; Berker, Mustafa; Dede, Mehmet İsmet Can
    Modeling the dynamic of tool-tissue interaction for the robotic minimally invasive surgeries is one of the main issues for designing appropriate robot controllers. A mobile measurement device is produced in order to model some nasal tissues of a human. This mobile device is a hand-held one which measures the applied moments and relative angular displacements about a fixed pivot point. The ex-vivo measurements are realized by surgeons on a relatively fresh human cadaver head. The tip of the nose and the nasal concha are the two tissues that are investigated. In this study, five different viscoelastic models are considered; Elastic, Kelvin- Voight, Kelvin-Boltzmann, Maxwell and Hunt-Crossley. The results are evaluated and cross-validated on each data set. Hunt-Crossley and Kelvin-Boltzmann models provided the minimum root-mean-square (RMS) error among the other models.