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      Soft-bodied adaptive multimodal locomotion strategies in fluid-filled confined spaces

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          Abstract

          We investigate the soft-bodied locomotion of a sheet-shaped millirobot in different fluid-filled confined spaces.

          Abstract

          Soft-bodied locomotion in fluid-filled confined spaces is critical for future wireless medical robots operating inside vessels, tubes, channels, and cavities of the human body, which are filled with stagnant or flowing biological fluids. However, the active soft-bodied locomotion is challenging to achieve when the robot size is comparable with the cross-sectional dimension of these confined spaces. Here, we propose various control and performance enhancement strategies to let the sheet-shaped soft millirobots achieve multimodal locomotion, including rolling, undulatory crawling, undulatory swimming, and helical surface crawling depending on different fluid-filled confined environments. With these locomotion modes, the sheet-shaped soft robot can navigate through straight or bent gaps with varying sizes, tortuous channels, and tubes with a flowing fluid inside. Such soft robot design along with its control and performance enhancement strategies are promising to be applied in future wireless soft medical robots inside various fluid-filled tight regions of the human body.

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          Most cited references63

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          Design, fabrication and control of soft robots.

          Conventionally, engineers have employed rigid materials to fabricate precise, predictable robotic systems, which are easily modelled as rigid members connected at discrete joints. Natural systems, however, often match or exceed the performance of robotic systems with deformable bodies. Cephalopods, for example, achieve amazing feats of manipulation and locomotion without a skeleton; even vertebrates such as humans achieve dynamic gaits by storing elastic energy in their compliant bones and soft tissues. Inspired by nature, engineers have begun to explore the design and control of soft-bodied robots composed of compliant materials. This Review discusses recent developments in the emerging field of soft robotics.
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            Printing ferromagnetic domains for untethered fast-transforming soft materials

            Soft materials capable of transforming between three-dimensional (3D) shapes in response to stimuli such as light, heat, solvent, electric and magnetic fields have applications in diverse areas such as flexible electronics1,2, soft robotics3,4 and biomedicine5-7. In particular, magnetic fields offer a safe and effective manipulation method for biomedical applications, which typically require remote actuation in enclosed and confined spaces8-10. With advances in magnetic field control 11 , magnetically responsive soft materials have also evolved from embedding discrete magnets 12 or incorporating magnetic particles 13 into soft compounds to generating nonuniform magnetization profiles in polymeric sheets14,15. Here we report 3D printing of programmed ferromagnetic domains in soft materials that enable fast transformations between complex 3D shapes via magnetic actuation. Our approach is based on direct ink writing 16 of an elastomer composite containing ferromagnetic microparticles. By applying a magnetic field to the dispensing nozzle while printing 17 , we reorient particles along the applied field to impart patterned magnetic polarity to printed filaments. This method allows us to program ferromagnetic domains in complex 3D-printed soft materials, enabling a set of previously inaccessible modes of transformation, such as remotely controlled auxetic behaviours of mechanical metamaterials with negative Poisson's ratios. The actuation speed and power density of our printed soft materials with programmed ferromagnetic domains are orders of magnitude greater than existing 3D-printed active materials. We further demonstrate diverse functions derived from complex shape changes, including reconfigurable soft electronics, a mechanical metamaterial that can jump and a soft robot that crawls, rolls, catches fast-moving objects and transports a pharmaceutical dose.
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              Small-scale soft-bodied robot with multimodal locomotion

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                Author and article information

                Journal
                Sci Adv
                Sci Adv
                SciAdv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                June 2021
                30 June 2021
                : 7
                : 27
                : eabh2022
                Affiliations
                [1 ]Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.
                [2 ]Institute for Biomedical Engineering, ETH Zürich, 8092 Zürich, Switzerland.
                [3 ]Zernike Institute for Advanced Materials, University of Groningen, 9747 AG Groningen, Netherlands.
                [4 ]School of Medicine and College of Engineering, Koç University, 34450 Istanbul, Turkey.
                Author notes
                [* ]Corresponding author. Email: wenqi@ 123456is.mpg.de (W.H.); p.r.onck@ 123456rug.nl (P.R.O.); sitti@ 123456is.mpg.de (M.S.)
                [†]

                These authors contributed equally to this work as co–first authors.

                Author information
                http://orcid.org/0000-0003-0824-1805
                http://orcid.org/0000-0003-4188-540X
                http://orcid.org/0000-0002-9211-6603
                http://orcid.org/0000-0002-3457-821X
                http://orcid.org/0000-0001-5632-9727
                http://orcid.org/0000-0001-8249-3854
                Article
                abh2022
                10.1126/sciadv.abh2022
                8245043
                34193416
                bc4cabe5-a0be-4eaa-a5de-435bd644ca28
                Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 22 February 2021
                : 17 May 2021
                Funding
                Funded by: doi http://dx.doi.org/10.13039/100005930, ASCRS Research Foundation;
                Award ID: SPP 2100
                Funded by: doi http://dx.doi.org/10.13039/100010663, H2020 European Research Council;
                Award ID: 834531
                Funded by: doi http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: 834531
                Funded by: doi http://dx.doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft;
                Award ID: 2197/3-1
                Funded by: doi http://dx.doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft;
                Award ID: 2197/3-1
                Funded by: doi http://dx.doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft;
                Award ID: 2197/3-1
                Funded by: doi http://dx.doi.org/10.13039/501100004189, Max-Planck-Gesellschaft;
                Award ID: N/A
                Categories
                Research Article
                Research Articles
                SciAdv r-articles
                Engineering
                Materials Science
                Applied Sciences and Engineering
                Custom metadata
                Karla Peñamante

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