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Force-based control strategy for a collaborative robotic camera holder in laparoscopic surgery using pivoting motion

Introduction: Laparoscopic surgery often relies on a fixed Remote Center of Motion (RCM) for robot mobility control, which assumes that the patient’s abdominal walls are immobile. However, this assumption is inaccurate, especially in collaborative surgical environments. In this paper, we present a f...

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Autores principales: Fontúrbel, Carlos, Cisnal, Ana, Fraile-Marinero, Juan Carlos, Pérez-Turiel, Javier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149823/
https://www.ncbi.nlm.nih.gov/pubmed/37138844
http://dx.doi.org/10.3389/frobt.2023.1145265
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author Fontúrbel, Carlos
Cisnal, Ana
Fraile-Marinero, Juan Carlos
Pérez-Turiel, Javier
author_facet Fontúrbel, Carlos
Cisnal, Ana
Fraile-Marinero, Juan Carlos
Pérez-Turiel, Javier
author_sort Fontúrbel, Carlos
collection PubMed
description Introduction: Laparoscopic surgery often relies on a fixed Remote Center of Motion (RCM) for robot mobility control, which assumes that the patient’s abdominal walls are immobile. However, this assumption is inaccurate, especially in collaborative surgical environments. In this paper, we present a force-based strategy for the mobility of a robotic camera-holder system for laparoscopic surgery based on a pivoting motion. This strategy re-conceptualizes the conventional mobility control paradigm of surgical robotics. Methods: The proposed strategy involves direct control of the Tool Center Point’s (TCP) position and orientation without any constraints associated with the spatial position of the incision. It is based on pivoting motions to minimize contact forces between the abdominal walls and the laparoscope. The control directly relates the measured force and angular velocity of the laparoscope, resulting in the reallocation of the trocar, whose position becomes a consequence of the natural accommodation allowed by this pivoting. Results: The effectiveness and safety of the proposed control were evaluated through a series of experiments. The experiments showed that the control was able to minimize an external force of 9 N to ±0.2 N in 0.7 s and reduce it to 2 N in just 0.3 s. Furthermore, the camera was able to track a region of interest by displacing the TCP as desired, leveraging the strategy’s property that dynamically constrains its orientation. Discussion: The proposed control strategy has proven to be effective minimizing the risk caused by sudden high forces resulting from accidents and maintaining the field of view despite any movements in the surgical environment, such as physiological movements of the patient or undesired movements of other surgical instruments. This control strategy can be implemented for laparoscopic robots without mechanical RCMs, as well as commercial collaborative robots, thereby improving the safety of surgical interventions in collaborative environments.
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spelling pubmed-101498232023-05-02 Force-based control strategy for a collaborative robotic camera holder in laparoscopic surgery using pivoting motion Fontúrbel, Carlos Cisnal, Ana Fraile-Marinero, Juan Carlos Pérez-Turiel, Javier Front Robot AI Robotics and AI Introduction: Laparoscopic surgery often relies on a fixed Remote Center of Motion (RCM) for robot mobility control, which assumes that the patient’s abdominal walls are immobile. However, this assumption is inaccurate, especially in collaborative surgical environments. In this paper, we present a force-based strategy for the mobility of a robotic camera-holder system for laparoscopic surgery based on a pivoting motion. This strategy re-conceptualizes the conventional mobility control paradigm of surgical robotics. Methods: The proposed strategy involves direct control of the Tool Center Point’s (TCP) position and orientation without any constraints associated with the spatial position of the incision. It is based on pivoting motions to minimize contact forces between the abdominal walls and the laparoscope. The control directly relates the measured force and angular velocity of the laparoscope, resulting in the reallocation of the trocar, whose position becomes a consequence of the natural accommodation allowed by this pivoting. Results: The effectiveness and safety of the proposed control were evaluated through a series of experiments. The experiments showed that the control was able to minimize an external force of 9 N to ±0.2 N in 0.7 s and reduce it to 2 N in just 0.3 s. Furthermore, the camera was able to track a region of interest by displacing the TCP as desired, leveraging the strategy’s property that dynamically constrains its orientation. Discussion: The proposed control strategy has proven to be effective minimizing the risk caused by sudden high forces resulting from accidents and maintaining the field of view despite any movements in the surgical environment, such as physiological movements of the patient or undesired movements of other surgical instruments. This control strategy can be implemented for laparoscopic robots without mechanical RCMs, as well as commercial collaborative robots, thereby improving the safety of surgical interventions in collaborative environments. Frontiers Media S.A. 2023-04-17 /pmc/articles/PMC10149823/ /pubmed/37138844 http://dx.doi.org/10.3389/frobt.2023.1145265 Text en Copyright © 2023 Fontúrbel, Cisnal, Fraile-Marinero and Pérez-Turiel. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Robotics and AI
Fontúrbel, Carlos
Cisnal, Ana
Fraile-Marinero, Juan Carlos
Pérez-Turiel, Javier
Force-based control strategy for a collaborative robotic camera holder in laparoscopic surgery using pivoting motion
title Force-based control strategy for a collaborative robotic camera holder in laparoscopic surgery using pivoting motion
title_full Force-based control strategy for a collaborative robotic camera holder in laparoscopic surgery using pivoting motion
title_fullStr Force-based control strategy for a collaborative robotic camera holder in laparoscopic surgery using pivoting motion
title_full_unstemmed Force-based control strategy for a collaborative robotic camera holder in laparoscopic surgery using pivoting motion
title_short Force-based control strategy for a collaborative robotic camera holder in laparoscopic surgery using pivoting motion
title_sort force-based control strategy for a collaborative robotic camera holder in laparoscopic surgery using pivoting motion
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10149823/
https://www.ncbi.nlm.nih.gov/pubmed/37138844
http://dx.doi.org/10.3389/frobt.2023.1145265
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