0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Magnetic Soft Microrobot Design for Cell Grasping and Transportation

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Manipulating cells at a small scale is widely acknowledged as a complex and challenging task, especially when it comes to cell grasping and transportation. Various precise methods have been developed to remotely control the movement of microrobots. However, the manipulation of micro-objects necessitates the use of end-effectors. This paper presents a study on the control of movement and grasping operations of a magnetic microrobot, utilizing only 3 pairs of electromagnetic coils. A specially designed microgripper is employed on the microrobot for efficient cell grasping and transportation. To ensure precise grasping, a bending deformation model of the microgripper is formulated and subsequently validated. To achieve precise and reliable transportation of cells to specific positions, an approach that combines an extended Kalman filter with a model predictive control method is adopted to accomplish the trajectory tracking task. Through experiments, we observe that by applying the proposed control strategy, the mean absolute error of path tracking is found to be less than 0.155 mm. Remarkably, this value accounts for only 1.55% of the microrobot’s size, demonstrating the efficacy and accuracy of our control strategy. Furthermore, an experiment involving the grasping and transportation of a zebrafish embryonic cell (diameter: 800 μm) is successfully conducted. The results of this experiment not only validate the precision and effectiveness of the proposed microrobot and its associated models but also highlight its tremendous potential for cell manipulation in vitro and in vivo.

          Related collections

          Most cited references28

          • Record: found
          • Abstract: not found
          • Article: not found

          Small-scale soft-bodied robot with multimodal locomotion

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            OctoMag: An Electromagnetic System for 5-DOF Wireless Micromanipulation

              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Shape-programmable magnetic soft matter

              At small scales, shape-programmable magnetic materials have significant potential to achieve mechanical functionalities that are unattainable by traditional miniature machines. Unfortunately, these materials have only been programmed for a small number of specific applications, as previous work can only rely on human intuition to approximate the required magnetization profile and actuating magnetic fields for such materials. Here, we propose a universal programming methodology that can automatically generate the desired magnetization profile and actuating fields for soft materials to achieve new time-varying shapes. The proposed method can enable other researchers to fully capitalize the potential of shape-programming technologies, allowing them to create a wide range of novel soft active surfaces and devices that are critical in robotics, material science, and medicine. Shape-programmable matter is a class of active materials whose geometry can be controlled to potentially achieve mechanical functionalities beyond those of traditional machines. Among these materials, magnetically actuated matter is particularly promising for achieving complex time-varying shapes at small scale (overall dimensions smaller than 1 cm). However, previous work can only program these materials for limited applications, as they rely solely on human intuition to approximate the required magnetization profile and actuating magnetic fields for their materials. Here, we propose a universal programming methodology that can automatically generate the required magnetization profile and actuating fields for soft matter to achieve new time-varying shapes. The universality of the proposed method can therefore inspire a vast number of miniature soft devices that are critical in robotics, smart engineering surfaces and materials, and biomedical devices. Our proposed method includes theoretical formulations, computational strategies, and fabrication procedures for programming magnetic soft matter. The presented theory and computational method are universal for programming 2D or 3D time-varying shapes, whereas the fabrication technique is generic only for creating planar beams. Based on the proposed programming method, we created a jellyfish-like robot, a spermatozoid-like undulating swimmer, and an artificial cilium that could mimic the complex beating patterns of its biological counterpart.
                Bookmark

                Author and article information

                Journal
                Cyborg Bionic Syst
                Cyborg Bionic Syst
                CBSYSTEMS
                Cyborg and Bionic Systems
                AAAS
                2097-1087
                2692-7632
                25 April 2024
                2024
                : 5
                : 0109
                Affiliations
                [ 1 ]College of Biosystems Engineering and Food Science, Zhejiang University , Hangzhou 310058, China.
                [ 2 ] TUM School of Computation, Information, and Technology , Garching 85748, Germany.
                Author notes
                [*] [* ]Address correspondence to: mczhou@ 123456zju.edu.cn
                Article
                0109
                10.34133/cbsystems.0109
                11052606
                38680536
                d1fa561d-df0e-4460-98b5-6391c1618a7a
                Copyright © 2024 Fanghao Wang et al.

                Exclusive licensee Beijing Institute of Technology Press. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution License 4.0 (CC BY 4.0).

                History
                : 28 November 2023
                : 07 March 2024
                : 25 April 2024
                Page count
                Figures: 11, Tables: 3, References: 30, Pages: 0
                Funding
                Funded by: Zhejiang University;
                Award ID: 2019M650419
                Award Recipient : Mingchuan Zhou
                Categories
                Research Article

                Comments

                Comment on this article