Printing Untethered Self‐Reconfigurable, Self‐Amputating Soft Robots from Recyclable Self‐Healing Fibers

Regarding the challenge of self-reconfiguration and self-amputation of soft robots, existing studies mainly focus on modular soft robots and connection methods between modules. Different from these studies, this study focus on the behavior of individual soft robots from a material perspective. Here, a kind of soft fibers, which consist of hot melt adhesive particles, magnetizable microparticles, and ferroferric oxide microparticles embedded in a thermoplastic polyurethane matrix are proposed. The soft fibers can achieve wireless self-healing and reversible bonding of the fibers by eddy current heating and can be actuated by magnetic fields. Moreover, the soft fibers are recyclable and printable. Building on this material foundation, an integrated material-structure-actuation printing strategy using soft fibers for the design and fabrication of soft robots are reported. The robots printed by this strategy can achieve their untethered motions and wireless self-healing. Soft gripper, soft crawling robot, and soft multi-legged robot, are then fabricated which demonstrates the self-healing, self-reconfigurable, self-amputating, and sustainable performances of soft robots so as to adapt to different environments and tasks. This integrated material-structure-actuation printing strategy using soft fibers is universal, easy to implement, and mass-manufactured, opening a door for sustainable, eco-friendly, untethered, self-reconfigurable, self-amputating soft robots.

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Institutions

Publication Details

Journal
Advanced Science
Published
2024-12-18
DOI
https://doi.org/10.1002/advs.202410167
Citations
12
Primary Topic
Micro and Nano Robotics
Type
article
Field-Weighted Citation Impact
3.73

Funders

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article

Printing Untethered Self‐Reconfigurable, Self‐Amputating Soft Robots from Recyclable Self‐Healing Fibers

Jun Zou, Kecheng Qin, Xinyu Guo, Elena Yu. Kramarenko et al.
12 citations
Advanced Science
Micro and Nano Robotics
3.73
article

Printing Untethered Self‐Reconfigurable, Self‐Amputating Soft Robots from Recyclable Self‐Healing Fibers

Jun Zou, Kecheng Qin, Xinyu Guo, Elena Yu. Kramarenko, Wei Tang, Yiding Zhong, Yidan Gao, Yonghao Wang
article en
12 citations

Abstract

Regarding the challenge of self-reconfiguration and self-amputation of soft robots, existing studies mainly focus on modular soft robots and connection methods between modules. Different from these studies, this study focus on the behavior of individual soft robots from a material perspective. Here, a kind of soft fibers, which consist of hot melt adhesive particles, magnetizable microparticles, and ferroferric oxide microparticles embedded in a thermoplastic polyurethane matrix are proposed. The soft fibers can achieve wireless self-healing and reversible bonding of the fibers by eddy current heating and can be actuated by magnetic fields. Moreover, the soft fibers are recyclable and printable. Building on this material foundation, an integrated material-structure-actuation printing strategy using soft fibers for the design and fabrication of soft robots are reported. The robots printed by this strategy can achieve their untethered motions and wireless self-healing. Soft gripper, soft crawling robot, and soft multi-legged robot, are then fabricated which demonstrates the self-healing, self-reconfigurable, self-amputating, and sustainable performances of soft robots so as to adapt to different environments and tasks. This integrated material-structure-actuation printing strategy using soft fibers is universal, easy to implement, and mass-manufactured, opening a door for sustainable, eco-friendly, untethered, self-reconfigurable, self-amputating soft robots.

Advanced ScienceVol. 12(6)
Lomonosov Moscow State University (RU), Institute of Synthetic Polymeric Materials (RU), Zhejiang University (CN)
National Natural Science Foundation of China, Russian Science Foundation
Responsible consumption and production
Openalex Percentile: Top 6%
Micro and Nano Robotics
3.73
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