Soft robotics towards sustainable development goals and climate actions

Goffredo Giordano*, Saravana Prashanth Murali Babu*, Barbara Mazzolai*

*Kontaktforfatter

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Abstract

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.

OriginalsprogEngelsk
Artikelnummer1116005
TidsskriftFrontiers in Robotics and AI
Vol/bind10
Antal sider10
ISSN2296-9144
DOI
StatusUdgivet - 2023

Bibliografisk note

Funding Information:
GG is funded by the European Union (ERC-2021-STG, SURFACE, ID: 101039198, DOI: 10.3030/101039198). Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.

Funding Information:
GG is funded by the European Union (ERC-2021-STG, SURFACE, ID: 101039198, DOI: 10.3030/101039198). Views and opinions expressed are, however, those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council. Neither the European Union nor the granting authority can be held responsible for them.

Publisher Copyright:
Copyright © 2023 Giordano, Murali Babu and Mazzolai.

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