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

Dong Gue Roe, Dong Hae Ho, Yoon Young Choi, Young Jin Choi, Seongchan Kim, Sae Byeok Jo, Moon Sung Kang, Jong-Hyun Ahn and Jeong Ho Cho ()
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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

Nature Communications, 2023, vol. 14, issue 1, 1-7

Abstract: 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.

Date: 2023
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DOI: 10.1038/s41467-022-34324-3

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