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Ionic shape-morphing microrobotic end-effectors for environmentally adaptive targeting, releasing, and sampling

Author

Listed:
  • Zhiqiang Zheng

    (Beijing Institute of Technology)

  • Huaping Wang

    (Beijing Institute of Technology)

  • Lixin Dong

    (City University of Hong Kong)

  • Qing Shi

    (Ministry of Education)

  • Jianing Li

    (Beijing Institute of Technology)

  • Tao Sun

    (Beijing Institute of Technology)

  • Qiang Huang

    (Beijing Institute of Technology
    Ministry of Education)

  • Toshio Fukuda

    (Ministry of Education)

Abstract

Shape-morphing uses a single actuation source for complex-task-oriented multiple patterns generation, showing a more promising way than reconfiguration, especially for microrobots, where multiple actuators are typically hardly available. Environmental stimuli can induce additional causes of shape transformation to compensate the insufficient space for actuators and sensors, which enriches the shape-morphing and thereby enhances the function and intelligence as well. Here, making use of the ionic sensitivity of alginate hydrogel microstructures, we present a shape-morphing strategy for microrobotic end-effectors made from them to adapt to different physiochemical environments. Pre-programmed hydrogel crosslinks were embedded in different patterns within the alginate microstructures in an electric field using different electrode configurations. These microstructures were designed for accomplishing tasks such as targeting, releasing and sampling under the control of a magnetic field and environmental ionic stimuli. In addition to structural flexibility and environmental ion sensitivity, these end-effectors are also characterized by their complete biodegradability and versatile actuation modes. The latter includes global locomotion of the whole end-effector by self-trapping magnetic microspheres as a hitch-hiker and the local opening and closing of the jaws using encapsulated nanoparticles based on local ionic density or pH values. The versatility was demonstrated experimentally in both in vitro environments and ex vivo in a gastrointestinal tract. Global locomotion was programmable and the local opening and closing was achieved by changing the ionic density or pH values. This ‘structural intelligence’ will enable strategies for shape-morphing and functionalization, which have attracted growing interest for applications in minimally invasive medicine, soft robotics, and smart materials.

Suggested Citation

  • Zhiqiang Zheng & Huaping Wang & Lixin Dong & Qing Shi & Jianing Li & Tao Sun & Qiang Huang & Toshio Fukuda, 2021. "Ionic shape-morphing microrobotic end-effectors for environmentally adaptive targeting, releasing, and sampling," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-020-20697-w
    DOI: 10.1038/s41467-020-20697-w
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    Cited by:

    1. Ziheng Chen & Yibin Wang & Hui Chen & Junhui Law & Huayan Pu & Shaorong Xie & Feng Duan & Yu Sun & Na Liu & Jiangfan Yu, 2024. "A magnetic multi-layer soft robot for on-demand targeted adhesion," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. Xiong Yang & Rong Tan & Haojian Lu & Toshio Fukuda & Yajing Shen, 2022. "Milli-scale cellular robots that can reconfigure morphologies and behaviors simultaneously," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    3. Yeongju Jung & Kangkyu Kwon & Jinwoo Lee & Seung Hwan Ko, 2024. "Untethered soft actuators for soft standalone robotics," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    4. Minho Seong & Kahyun Sun & Somi Kim & Hyukjoo Kwon & Sang-Woo Lee & Sarath Chandra Veerla & Dong Kwan Kang & Jaeil Kim & Stalin Kondaveeti & Salah M. Tawfik & Hyung Wook Park & Hoon Eui Jeong, 2024. "Multifunctional Magnetic Muscles for Soft Robotics," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    5. Lin Zhang & Sicheng Xing & Haifeng Yin & Hannah Weisbecker & Hiep Thanh Tran & Ziheng Guo & Tianhong Han & Yihang Wang & Yihan Liu & Yizhang Wu & Wanrong Xie & Chuqi Huang & Wei Luo & Michael Demaessc, 2024. "Skin-inspired, sensory robots for electronic implants," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
    6. Liwei Wang & Yilong Chang & Shuai Wu & Ruike Renee Zhao & Wei Chen, 2023. "Physics-aware differentiable design of magnetically actuated kirigami for shape morphing," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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