A review on self-healing polymers for soft robotics

Seppe Terryn (Corresponding author), Jakob Langenbach, Ellen Roels, Joost Brancart, Camille Bakkali-Hassani, Quentin Arthur Poutrel, Antonia Georgopoulou, Thomas George Thuruthel, Ali Safaei, Pasquale Ferrentino, Tutu Sebastian, Sophie Norvez, Fumiya Iida, Anton W. Bosman, François Tournilhac, Frank Clemens, Guy Van Assche, Bram Vanderborght

Research output: Contribution to journalReview articlepeer-review

185 Citations (Scopus)

Abstract

The intrinsic compliance of soft robots provides safety, a natural adaptation to its environment, allows to absorb shocks, and protects them against mechanical impacts. However, a literature study shows that the soft polymers used for their construction are susceptible to various types of damage, including fatigue, overloads, interfacial debonding, and cuts, tears and perforations by sharp objects. An economic and ecological solution is to construct future soft robotic systems out of self-healing polymers, incorporating the ability to heal damage. This review paper proposes criteria to evaluate the potential of a self-healing polymer to be used in soft robotic applications. Based on these soft robotics requirements and on defined performance parameters of the materials, linked to the mechanical and healing properties, the different types of self-healing polymers already available in literature are critically assessed and compared. In addition to a description of the state of the art on self-healing soft robotics, the paper discusses the driving forces and limitations to spur the interdisciplinary combination between self-healing polymer science and soft robotics.

Original languageEnglish
Pages (from-to)187-205
Number of pages19
JournalMaterials Today
Volume47
Issue numberXX
DOIs
Publication statusPublished - 1 Jul 2021

Funding

This literature review was performed in relation to and funded by the EU FET Open RIA Project SHERO ( 828818 ), the EU Marie Curie ITN project SMART ( 860108 ) and the FWO SBO project AMSeR ( G028218N ). In addition, the authors gratefully acknowledge the FWO (Fonds Wetenschappelijk Onderzoek) for the personal grants of Terryn ( 1100416N ), Brancart ( 12W4719N ) and Roels ( 1S84120N ).

FundersFunder number
EU FET Open RIA
European Union's Horizon 2020 - Research and Innovation Framework Programme860108, 828818
European External Action Service
Fonds Wetenschappelijk OnderzoekG028218N

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