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A review on model-based and model-free approaches to control soft actuators and their potentials in colonoscopy

Colorectal cancer (CRC) is the third most common cancer worldwide and responsible for approximately 1 million deaths annually. Early screening is essential to increase the chances of survival, and it can also reduce the cost of treatments for healthcare centres. Colonoscopy is the gold standard for...

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Autores principales: Asgari, Motahareh, Magerand, Ludovic, Manfredi, Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665478/
https://www.ncbi.nlm.nih.gov/pubmed/38023589
http://dx.doi.org/10.3389/frobt.2023.1236706
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author Asgari, Motahareh
Magerand, Ludovic
Manfredi, Luigi
author_facet Asgari, Motahareh
Magerand, Ludovic
Manfredi, Luigi
author_sort Asgari, Motahareh
collection PubMed
description Colorectal cancer (CRC) is the third most common cancer worldwide and responsible for approximately 1 million deaths annually. Early screening is essential to increase the chances of survival, and it can also reduce the cost of treatments for healthcare centres. Colonoscopy is the gold standard for CRC screening and treatment, but it has several drawbacks, including difficulty in manoeuvring the device, patient discomfort, and high cost. Soft endorobots, small and compliant devices thatcan reduce the force exerted on the colonic wall, offer a potential solution to these issues. However, controlling these soft robots is challenging due to their deformable materials and the limitations of mathematical models. In this Review, we discuss model-free and model-based approaches for controlling soft robots that can potentially be applied to endorobots for colonoscopy. We highlight the importance of selecting appropriate control methods based on various parameters, such as sensor and actuator solutions. This review aims to contribute to the development of smart control strategies for soft endorobots that can enhance the effectiveness and safety of robotics in colonoscopy. These strategies can be defined based on the available information about the robot and surrounding environment, control demands, mechanical design impact and characterization data based on calibration.
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spelling pubmed-106654782023-11-09 A review on model-based and model-free approaches to control soft actuators and their potentials in colonoscopy Asgari, Motahareh Magerand, Ludovic Manfredi, Luigi Front Robot AI Robotics and AI Colorectal cancer (CRC) is the third most common cancer worldwide and responsible for approximately 1 million deaths annually. Early screening is essential to increase the chances of survival, and it can also reduce the cost of treatments for healthcare centres. Colonoscopy is the gold standard for CRC screening and treatment, but it has several drawbacks, including difficulty in manoeuvring the device, patient discomfort, and high cost. Soft endorobots, small and compliant devices thatcan reduce the force exerted on the colonic wall, offer a potential solution to these issues. However, controlling these soft robots is challenging due to their deformable materials and the limitations of mathematical models. In this Review, we discuss model-free and model-based approaches for controlling soft robots that can potentially be applied to endorobots for colonoscopy. We highlight the importance of selecting appropriate control methods based on various parameters, such as sensor and actuator solutions. This review aims to contribute to the development of smart control strategies for soft endorobots that can enhance the effectiveness and safety of robotics in colonoscopy. These strategies can be defined based on the available information about the robot and surrounding environment, control demands, mechanical design impact and characterization data based on calibration. Frontiers Media S.A. 2023-11-09 /pmc/articles/PMC10665478/ /pubmed/38023589 http://dx.doi.org/10.3389/frobt.2023.1236706 Text en Copyright © 2023 Asgari, Magerand and Manfredi. 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
Asgari, Motahareh
Magerand, Ludovic
Manfredi, Luigi
A review on model-based and model-free approaches to control soft actuators and their potentials in colonoscopy
title A review on model-based and model-free approaches to control soft actuators and their potentials in colonoscopy
title_full A review on model-based and model-free approaches to control soft actuators and their potentials in colonoscopy
title_fullStr A review on model-based and model-free approaches to control soft actuators and their potentials in colonoscopy
title_full_unstemmed A review on model-based and model-free approaches to control soft actuators and their potentials in colonoscopy
title_short A review on model-based and model-free approaches to control soft actuators and their potentials in colonoscopy
title_sort review on model-based and model-free approaches to control soft actuators and their potentials in colonoscopy
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10665478/
https://www.ncbi.nlm.nih.gov/pubmed/38023589
http://dx.doi.org/10.3389/frobt.2023.1236706
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