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ORIGINAL RESEARCH article

Front. Robot. AI
Sec. Bio-Inspired Robotics
Volume 11 - 2024 | doi: 10.3389/frobt.2024.1443379
This article is part of the Research Topic Bio-Inspired Foldable Robotics: Exploring the Science, Design, and Applications of Origami/Kirigami-Inspired Systems View all articles

Remotely Actuated Programmable Self-Folding Strings using Magnetic Induction Heating

Provisionally accepted
  • The University of Sheffield, Sheffield, United Kingdom

The final, formatted version of the article will be published soon.

    Transforming planar structures into volumetric objects typically requires manual folding processes, akin to origami. However, manual intervention at sub-centimeter scales is impractical.Instead, folding is achieved using volume-changing smart materials that respond to physical or chemical stimuli, be it with direct contact such as hydration, pH, or remotely e.g. light or magnetism. The complexity of small-scale structures often restricts the variety of smart materials used and the number of folding sequences. In this study, we propose a method to sequentially selffold millimeter scale origami using magnetic induction heating at 150 kHz and 3.2 mT. Additionally, we introduce a method for designing self-folding overhand knots and predicting the folding sequence using the magneto-thermal model we developed. This methodology is demonstrated to sequentially self-fold by optimizing the surface, placement, and geometry of metal workpieces, and is validated through the self-folding of various structures, including a 380 mm 2 croissant, a 321 mm 2 box, a 447 mm 2 bio-mimetic Mimosa pudica leaf, and an overhand knot covering 524 mm 2 . Our work shows significant potential for miniature self-folding origami robots owing to the novel sequential folding approach and the ability to achieve remote and tetherless self-folding within constrained environments.

    Keywords: Magnetic induction heating, Sequential self-folding, Origami structures, Thermo-responsive, Self-folding knot, bio-mimetics

    Received: 03 Jun 2024; Accepted: 15 Aug 2024.

    Copyright: © 2024 Lahondes and Miyashita. 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) or licensor 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.

    * Correspondence: Quentin M. Lahondes, The University of Sheffield, Sheffield, United Kingdom

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.