Laparoscopic surgery is a minimally invasive surgery that makes small incisions in the patient’s tissue during the procedure in order to reduce infection and postoperative time. When using robots in this task applied to laparoscopic suturing, one of the main challenges encountered is human-robot iteration. To address this problem, this paper presents a functional architecture where the recognition of the surgeon’s gestures by means of Machine Learning models and force-position control techniques of the surgical instrument stand out.


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    Titel :

    Human-Robot Interaction Applied to Robotized Laparoscopic Suture


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Marques, Lino (Herausgeber:in) / Santos, Cristina (Herausgeber:in) / Lima, José Luís (Herausgeber:in) / Tardioli, Danilo (Herausgeber:in) / Ferre, Manuel (Herausgeber:in) / Galán-Cuenca, Álvaro (Autor:in) / Herrera-López, Juan María (Autor:in) / Rollón, M. (Autor:in) / Reina, A. J. (Autor:in) / García-Morales, Isabel (Autor:in)

    Kongress:

    Iberian Robotics conference ; 2023 ; Coimbra, Portugal November 22, 2023 - November 24, 2023



    Erscheinungsdatum :

    27.04.2024


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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