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      Reconfigurable multifunctional ferrofluid droplet robots

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          This work proposes reconfigurable multifunctional ferrofluid droplets as soft robots to overcome the limitation of existing magnetically actuated miniature soft robots based on elastomers, i.e., they cannot navigate inside very clustered and constrained spaces and reconfigure their shapes in situ for diverse tasks, due to limited deformability and predesigned shapes. We propose a fundamental mechanism of controlling reconfigurable large deformation (e.g., splitting) and coordinated motions of multiple ferrofluid droplets by programming external magnetic fields spatiotemporally. We employ this mechanism to achieve multiple functionalities, including on-demand liquid-cargo delivery, morphing for efficient and versatile manipulation of delicate objects, and programmable fluidic-mixing function, potentially enabling unprecedented functionalities in lab/organ-on-a-chip, fluidics, bioengineering, and medical device applications, beyond magnetically actuated elastomer-based soft robots.

          Abstract

          Magnetically actuated miniature soft robots are capable of programmable deformations for multimodal locomotion and manipulation functions, potentially enabling direct access to currently unreachable or difficult-to-access regions inside the human body for minimally invasive medical operations. However, magnetic miniature soft robots are so far mostly based on elastomers, where their limited deformability prevents them from navigating inside clustered and very constrained environments, such as squeezing through narrow crevices much smaller than the robot size. Moreover, their functionalities are currently restricted by their predesigned shapes, which is challenging to be reconfigured in situ in enclosed spaces. Here, we report a method to actuate and control ferrofluid droplets as shape-programmable magnetic miniature soft robots, which can navigate in two dimensions through narrow channels much smaller than their sizes thanks to their liquid properties. By controlling the external magnetic fields spatiotemporally, these droplet robots can also be reconfigured to exhibit multiple functionalities, including on-demand splitting and merging for delivering liquid cargos and morphing into different shapes for efficient and versatile manipulation of delicate objects. In addition, a single-droplet robot can be controlled to split into multiple subdroplets and complete cooperative tasks, such as working as a programmable fluidic-mixing device for addressable and sequential mixing of different liquids. Due to their extreme deformability, in situ reconfigurability and cooperative behavior, the proposed ferrofluid droplet robots could open up a wide range of unprecedented functionalities for lab/organ-on-a-chip, fluidics, bioengineering, and medical device applications.

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          Most cited references46

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          Chaotic mixer for microchannels.

          It is difficult to mix solutions in microchannels. Under typical operating conditions, flows in these channels are laminar-the spontaneous fluctuations of velocity that tend to homogenize fluids in turbulent flows are absent, and molecular diffusion across the channels is slow. We present a passive method for mixing streams of steady pressure-driven flows in microchannels at low Reynolds number. Using this method, the length of the channel required for mixing grows only logarithmically with the Péclet number, and hydrodynamic dispersion along the channel is reduced relative to that in a simple, smooth channel. This method uses bas-relief structures on the floor of the channel that are easily fabricated with commonly used methods of planar lithography.
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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
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                10 November 2020
                26 October 2020
                26 October 2020
                : 117
                : 45
                : 27916-27926
                Affiliations
                [1] aPhysical Intelligence Department, Max Planck Institute for Intelligent Systems , Stuttgart 70569, Germany;
                [2] bState Key Laboratory of Robotics and Systems, Harbin Institute of Technology , Harbin 150080, China;
                [3] cDepartment of Mechanical Engineering, Carnegie Mellon University , Pittsburgh, PA 15213;
                [4] dInstitute for Biomedical Engineering, ETH Zurich , Zurich 8092, Switzerland
                Author notes
                2To whom correspondence may be addressed. Email: sitti@ 123456is.mpg.de .

                Edited by John A. Rogers, Northwestern University, Evanston, IL, and approved October 1, 2020 (received for review August 3, 2020)

                Author contributions: X.F., X.D., H.X., and M.S. designed research; X.F., X.D., and A.C.K. performed research; X.F. and X.D. analyzed data; X.F., X.D., and M.S. wrote the paper; and H.X. and M.S. supervised research.

                1X.F. and X.D. contributed equally to this work.

                Author information
                https://orcid.org/0000-0002-8854-1287
                https://orcid.org/0000-0002-9150-4014
                https://orcid.org/0000-0003-1241-0800
                https://orcid.org/0000-0003-4299-2776
                https://orcid.org/0000-0001-8249-3854
                Article
                202016388
                10.1073/pnas.2016388117
                7668164
                33106419
                1e86a57c-3f11-44ab-9fe7-be8094a9e079
                Copyright © 2020 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 11
                Funding
                Funded by: Max Planck Society
                Award ID: N/A
                Award Recipient : Xiaoguang Dong Award Recipient : Alp C. Karacakol Award Recipient : Metin Sitti
                Funded by: ERC Advanced Grant
                Award ID: 834531
                Award Recipient : Xiaoguang Dong Award Recipient : Alp C. Karacakol Award Recipient : Metin Sitti
                Funded by: China Scholarship Council (CSC) 501100004543
                Award ID: 201906120141
                Award Recipient : Xinjian Fan
                Categories
                Physical Sciences
                Engineering

                ferrofluid droplet,shape-programmable,soft robot,multifunctional,cargo delivery

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