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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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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. |
format | Online Article Text |
id | pubmed-10665478 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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