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Humanlike spontaneous motion coordination of robotic fingers through spatial multi-input spike signal multiplexing

Author

Listed:
  • Dong Gue Roe

    (Yonsei University)

  • Dong Hae Ho

    (Yonsei University)

  • Yoon Young Choi

    (University of Illinois at Urbana−Champaign)

  • Young Jin Choi

    (Yonsei University)

  • Seongchan Kim

    (Sungkyunkwan University)

  • Sae Byeok Jo

    (Sungkyunkwan University)

  • Moon Sung Kang

    (Sogang University)

  • Jong-Hyun Ahn

    (Yonsei University)

  • Jeong Ho Cho

    (Yonsei University)

Abstract

With advances in robotic technology, the complexity of control of robot has been increasing owing to fundamental signal bottlenecks and limited expressible logic state of the von Neumann architecture. Here, we demonstrate coordinated movement by a fully parallel-processable synaptic array with reduced control complexity. The synaptic array was fabricated by connecting eight ion-gel-based synaptic transistors to an ion gel dielectric. Parallel signal processing and multi-actuation control could be achieved by modulating the ionic movement. Through the integration of the synaptic array and a robotic hand, coordinated movement of the fingers was achieved with reduced control complexity by exploiting the advantages of parallel multiplexing and analog logic. The proposed synaptic control system provides considerable scope for the advancement of robotic control systems.

Suggested Citation

  • Dong Gue Roe & Dong Hae Ho & Yoon Young Choi & Young Jin Choi & Seongchan Kim & Sae Byeok Jo & Moon Sung Kang & Jong-Hyun Ahn & Jeong Ho Cho, 2023. "Humanlike spontaneous motion coordination of robotic fingers through spatial multi-input spike signal multiplexing," Nature Communications, Nature, vol. 14(1), pages 1-7, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-022-34324-3
    DOI: 10.1038/s41467-022-34324-3
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    References listed on IDEAS

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