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Electronically integrated, mass-manufactured, microscopic robots

Author

Listed:
  • Marc Z. Miskin

    (Cornell University
    Cornell University
    University of Pennsylvania)

  • Alejandro J. Cortese

    (Cornell University)

  • Kyle Dorsey

    (Cornell University)

  • Edward P. Esposito

    (Cornell University)

  • Michael F. Reynolds

    (Cornell University)

  • Qingkun Liu

    (Cornell University)

  • Michael Cao

    (Cornell University)

  • David A. Muller

    (Cornell University
    Cornell University)

  • Paul L. McEuen

    (Cornell University
    Cornell University)

  • Itai Cohen

    (Cornell University
    Cornell University)

Abstract

Fifty years of Moore’s law scaling in microelectronics have brought remarkable opportunities for the rapidly evolving field of microscopic robotics1–5. Electronic, magnetic and optical systems now offer an unprecedented combination of complexity, small size and low cost6,7, and could be readily appropriated for robots that are smaller than the resolution limit of human vision (less than a hundred micrometres)8–11. However, a major roadblock exists: there is no micrometre-scale actuator system that seamlessly integrates with semiconductor processing and responds to standard electronic control signals. Here we overcome this barrier by developing a new class of voltage-controllable electrochemical actuators that operate at low voltages (200 microvolts), low power (10 nanowatts) and are completely compatible with silicon processing. To demonstrate their potential, we develop lithographic fabrication-and-release protocols to prototype sub-hundred-micrometre walking robots. Every step in this process is performed in parallel, allowing us to produce over one million robots per four-inch wafer. These results are an important advance towards mass-manufactured, silicon-based, functional robots that are too small to be resolved by the naked eye.

Suggested Citation

  • Marc Z. Miskin & Alejandro J. Cortese & Kyle Dorsey & Edward P. Esposito & Michael F. Reynolds & Qingkun Liu & Michael Cao & David A. Muller & Paul L. McEuen & Itai Cohen, 2020. "Electronically integrated, mass-manufactured, microscopic robots," Nature, Nature, vol. 584(7822), pages 557-561, August.
  • Handle: RePEc:nat:nature:v:584:y:2020:i:7822:d:10.1038_s41586-020-2626-9
    DOI: 10.1038/s41586-020-2626-9
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    Citations

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    Cited by:

    1. Marcell Tibor Máthé & Hiroya Nishikawa & Fumito Araoka & Antal Jákli & Péter Salamon, 2024. "Electrically activated ferroelectric nematic microrobots," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    2. Shijing Zhang & Yingxiang Liu & Jie Deng & Xiang Gao & Jing Li & Weiyi Wang & Mingxin Xun & Xuefeng Ma & Qingbing Chang & Junkao Liu & Weishan Chen & Jie Zhao, 2023. "Piezo robotic hand for motion manipulation from micro to macro," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    3. Jiang Yan & Ying Zhang & Zongguang Liu & Junzhuan Wang & Jun Xu & Linwei Yu, 2023. "Ultracompact single-nanowire-morphed grippers driven by vectorial Lorentz forces for dexterous robotic manipulations," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    4. Mingchao Zhang & Yohan Lee & Zhiqiang Zheng & Muhammad Turab Ali Khan & Xianglong Lyu & Junghwan Byun & Harald Giessen & Metin Sitti, 2023. "Micro- and nanofabrication of dynamic hydrogels with multichannel information," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    5. Nathan Ronceray & Massimo Spina & Vanessa Hui Yin Chou & Chwee Teck Lim & Andre K. Geim & Slaven Garaj, 2024. "Elastocapillarity-driven 2D nano-switches enable zeptoliter-scale liquid encapsulation," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    6. Jing Fan Yang & Thomas A. Berrueta & Allan M. Brooks & Albert Tianxiang Liu & Ge Zhang & David Gonzalez-Medrano & Sungyun Yang & Volodymyr B. Koman & Pavel Chvykov & Lexy N. LeMar & Marc Z. Miskin & T, 2022. "Emergent microrobotic oscillators via asymmetry-induced order," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    7. Wenzhong Yan & Shuguang Li & Mauricio Deguchi & Zhaoliang Zheng & Daniela Rus & Ankur Mehta, 2023. "Origami-based integration of robots that sense, decide, and respond," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    8. Minghui Tan & Pan Tian & Qian Zhang & Guiqiang Zhu & Yuchen Liu & Mengjiao Cheng & Feng Shi, 2022. "Self-sorting in macroscopic supramolecular self-assembly via additive effects of capillary and magnetic forces," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    9. Nguyen, Minh D.N. & Pham, Phuc H. & Ngo, Khang V. & Do, Van H. & Li, Shengkai & Phan, Trung V., 2024. "Remark on the entropy production of adaptive run-and-tumble chemotaxis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).

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