Real-time in situ magnetization reprogramming for soft robotics

Magnetic soft robots offer considerable potential across various scenarios, such as biomedical applications and industrial tasks, because of their shape programmability and reconfigurability, safe interaction and biocompatibility<sup>1-4</sup>. Despite recent advances, magnetic soft robots are still limited by the difficulties in reprogramming their required magnetization profiles in real time on the spot (in situ), which is essential for performing multiple functions or executing diverse tasks<sup>5,6</sup>. Here we introduce a method for real-time in situ magnetization reprogramming that enables the rearrangement and recombination of magnetic units to achieve diverse magnetization profiles. We explore the applications of this method in structures of varying dimensions, from one-dimensional tubes to three-dimensional frameworks, showcasing a diverse and expanded range of configurations and their deformations. This method also demonstrates versatility in diverse scenarios, including navigating around objects without undesired contact, reprogramming cilia arrays, managing multiple instruments cooperatively or independently under the same magnetic field, and manipulating objects of various shapes. These abilities extend the range of applications for magnetic actuation technologies. Furthermore, this method frees magnetic soft robots from the sole reliance on external magnetic fields for shape change, facilitating unprecedented modes and varieties of deformation while simultaneously reducing the need for complex magnetic field generation systems, thereby opening avenues for the development of magnetic actuation technologies.

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Publication Details

Journal
Nature
Published
2025-08-04
DOI
https://doi.org/10.1038/s41586-025-09459-0
Citations
9
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
11.32
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article

Real-time in situ magnetization reprogramming for soft robotics

Shuaizhong Zhang, Yingbo Yan, Jiahe Liao, Mingtong Li et al.
9 citations
Nature
Micro and Nano Robotics
11.32
article

Real-time in situ magnetization reprogramming for soft robotics

Shuaizhong Zhang, Yingbo Yan, Jiahe Liao, Mingtong Li, Ziyu Ren, Metin Sitti, Zemin Liu, Jianhua Zhang, Rongjing Zhang, Wenbin Kang, Xianqiang Bao, Tianlu Wang, Fan Wang
article en
9 citations

Abstract

Magnetic soft robots offer considerable potential across various scenarios, such as biomedical applications and industrial tasks, because of their shape programmability and reconfigurability, safe interaction and biocompatibility<sup>1-4</sup>. Despite recent advances, magnetic soft robots are still limited by the difficulties in reprogramming their required magnetization profiles in real time on the spot (in situ), which is essential for performing multiple functions or executing diverse tasks<sup>5,6</sup>. Here we introduce a method for real-time in situ magnetization reprogramming that enables the rearrangement and recombination of magnetic units to achieve diverse magnetization profiles. We explore the applications of this method in structures of varying dimensions, from one-dimensional tubes to three-dimensional frameworks, showcasing a diverse and expanded range of configurations and their deformations. This method also demonstrates versatility in diverse scenarios, including navigating around objects without undesired contact, reprogramming cilia arrays, managing multiple instruments cooperatively or independently under the same magnetic field, and manipulating objects of various shapes. These abilities extend the range of applications for magnetic actuation technologies. Furthermore, this method frees magnetic soft robots from the sole reliance on external magnetic fields for shape change, facilitating unprecedented modes and varieties of deformation while simultaneously reducing the need for complex magnetic field generation systems, thereby opening avenues for the development of magnetic actuation technologies.

NatureVol. 645(8080)
Koç University (TR), ETH Zurich (CH), Yanshan University (CN), Institute for Biomedical Engineering (CH), Southeast University (BD), Max Planck Institute for Intelligent Systems (DE), State Key Laboratory of Digital Medical Engineering (CN), Zhejiang University (CN), Southeast University (CN)
Openalex Percentile: Top 1%
Micro and Nano Robotics
11.32
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