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Soft robotics towards sustainable development goals and climate actions

Soft robotics technology can aid in achieving United Nations’ Sustainable Development Goals (SDGs) and the Paris Climate Agreement through development of autonomous, environmentally responsible machines powered by renewable energy. By utilizing soft robotics, we can mitigate the detrimental effects...

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Autores principales: Giordano, Goffredo, Murali Babu, Saravana Prashanth, Mazzolai, Barbara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064016/
https://www.ncbi.nlm.nih.gov/pubmed/37008983
http://dx.doi.org/10.3389/frobt.2023.1116005
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author Giordano, Goffredo
Murali Babu, Saravana Prashanth
Mazzolai, Barbara
author_facet Giordano, Goffredo
Murali Babu, Saravana Prashanth
Mazzolai, Barbara
author_sort Giordano, Goffredo
collection PubMed
description Soft robotics technology can aid in achieving United Nations’ Sustainable Development Goals (SDGs) and the Paris Climate Agreement through development of autonomous, environmentally responsible machines powered by renewable energy. By utilizing soft robotics, we can mitigate the detrimental effects of climate change on human society and the natural world through fostering adaptation, restoration, and remediation. Moreover, the implementation of soft robotics can lead to groundbreaking discoveries in material science, biology, control systems, energy efficiency, and sustainable manufacturing processes. However, to achieve these goals, we need further improvements in understanding biological principles at the basis of embodied and physical intelligence, environment-friendly materials, and energy-saving strategies to design and manufacture self-piloting and field-ready soft robots. This paper provides insights on how soft robotics can address the pressing issue of environmental sustainability. Sustainable manufacturing of soft robots at a large scale, exploring the potential of biodegradable and bioinspired materials, and integrating onboard renewable energy sources to promote autonomy and intelligence are some of the urgent challenges of this field that we discuss in this paper. Specifically, we will present field-ready soft robots that address targeted productive applications in urban farming, healthcare, land and ocean preservation, disaster remediation, and clean and affordable energy, thus supporting some of the SDGs. By embracing soft robotics as a solution, we can concretely support economic growth and sustainable industry, drive solutions for environment protection and clean energy, and improve overall health and well-being.
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spelling pubmed-100640162023-04-01 Soft robotics towards sustainable development goals and climate actions Giordano, Goffredo Murali Babu, Saravana Prashanth Mazzolai, Barbara Front Robot AI Robotics and AI Soft robotics technology can aid in achieving United Nations’ Sustainable Development Goals (SDGs) and the Paris Climate Agreement through development of autonomous, environmentally responsible machines powered by renewable energy. By utilizing soft robotics, we can mitigate the detrimental effects of climate change on human society and the natural world through fostering adaptation, restoration, and remediation. Moreover, the implementation of soft robotics can lead to groundbreaking discoveries in material science, biology, control systems, energy efficiency, and sustainable manufacturing processes. However, to achieve these goals, we need further improvements in understanding biological principles at the basis of embodied and physical intelligence, environment-friendly materials, and energy-saving strategies to design and manufacture self-piloting and field-ready soft robots. This paper provides insights on how soft robotics can address the pressing issue of environmental sustainability. Sustainable manufacturing of soft robots at a large scale, exploring the potential of biodegradable and bioinspired materials, and integrating onboard renewable energy sources to promote autonomy and intelligence are some of the urgent challenges of this field that we discuss in this paper. Specifically, we will present field-ready soft robots that address targeted productive applications in urban farming, healthcare, land and ocean preservation, disaster remediation, and clean and affordable energy, thus supporting some of the SDGs. By embracing soft robotics as a solution, we can concretely support economic growth and sustainable industry, drive solutions for environment protection and clean energy, and improve overall health and well-being. Frontiers Media S.A. 2023-03-17 /pmc/articles/PMC10064016/ /pubmed/37008983 http://dx.doi.org/10.3389/frobt.2023.1116005 Text en Copyright © 2023 Giordano, Murali Babu and Mazzolai. 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
Giordano, Goffredo
Murali Babu, Saravana Prashanth
Mazzolai, Barbara
Soft robotics towards sustainable development goals and climate actions
title Soft robotics towards sustainable development goals and climate actions
title_full Soft robotics towards sustainable development goals and climate actions
title_fullStr Soft robotics towards sustainable development goals and climate actions
title_full_unstemmed Soft robotics towards sustainable development goals and climate actions
title_short Soft robotics towards sustainable development goals and climate actions
title_sort soft robotics towards sustainable development goals and climate actions
topic Robotics and AI
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10064016/
https://www.ncbi.nlm.nih.gov/pubmed/37008983
http://dx.doi.org/10.3389/frobt.2023.1116005
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