Neurorobotic approaches to emulate human motor control with the integration of artificial synapse

Seonkwon Kim; Seongchan Kim; Dong Hae Ho; Dong Gue Roe; Young Jin Choi; Min Je Kim; Ui Jin Kim; Manh Linh Le; Juyoung Kim; Se Hyun Kim; Jeong Ho Cho

doi:10.1126/sciadv.abo3326

Neurorobotic approaches to emulate human motor control with the integration of artificial synapse

Seonkwon Kim, Seongchan Kim, Dong Hae Ho, Dong Gue Roe, Young Jin Choi, Min Je Kim, Ui Jin Kim, Manh Linh Le, Juyoung Kim, Se Hyun Kim, Jeong Ho Cho

Department of Chemical and Biomolecular Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

The advancement of electronic devices has enabled researchers to successfully emulate human synapses, thereby promoting the development of the research field of artificial synapse integrated soft robots. This paper proposes an artificial reciprocal inhibition system that can successfully emulate the human motor control mechanism through the integration of artificial synapses. The proposed system is composed of artificial synapses, load transistors, voltage/current amplifiers, and a soft actuator to demonstrate the muscle movement. The speed, range, and direction of the soft actuator movement can be precisely controlled via the preset input voltages with different amplitudes, numbers, and signs (positive or negative). The artificial reciprocal inhibition system can impart lifelike motion to soft robots and is a promising tool to enable the successful integration of soft robots or prostheses in a living body.

Original language	English
Article number	eabo3326
Journal	Science Advances
Volume	8
Issue number	39
DOIs	https://doi.org/10.1126/sciadv.abo3326
Publication status	Published - 2022 Sept

Bibliographical note

Funding Information:
This work was supported by the Creative Materials Discovery Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT grant NRF-2019M3D1A1078299 (to J.H.C.), Materials and Components Technology Development Program (20006537, Development of High Performance Insulation Materials for Flexible OLED Display TFT) funded by the Ministry of Trade, Industry, and Energy (MOTIE, Korea) (to J.H.C.), and a Korea Medical Device Development Fund grant funded by the Korean government (the Ministry of Science and ICT) (project number: KMDF202012B02-02 to J.H.C.).

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Copyright © 2022 The Authors.

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title = "Neurorobotic approaches to emulate human motor control with the integration of artificial synapse",

abstract = "The advancement of electronic devices has enabled researchers to successfully emulate human synapses, thereby promoting the development of the research field of artificial synapse integrated soft robots. This paper proposes an artificial reciprocal inhibition system that can successfully emulate the human motor control mechanism through the integration of artificial synapses. The proposed system is composed of artificial synapses, load transistors, voltage/current amplifiers, and a soft actuator to demonstrate the muscle movement. The speed, range, and direction of the soft actuator movement can be precisely controlled via the preset input voltages with different amplitudes, numbers, and signs (positive or negative). The artificial reciprocal inhibition system can impart lifelike motion to soft robots and is a promising tool to enable the successful integration of soft robots or prostheses in a living body.",

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note = "Funding Information: This work was supported by the Creative Materials Discovery Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT grant NRF-2019M3D1A1078299 (to J.H.C.), Materials and Components Technology Development Program (20006537, Development of High Performance Insulation Materials for Flexible OLED Display TFT) funded by the Ministry of Trade, Industry, and Energy (MOTIE, Korea) (to J.H.C.), and a Korea Medical Device Development Fund grant funded by the Korean government (the Ministry of Science and ICT) (project number: KMDF202012B02-02 to J.H.C.). Publisher Copyright: Copyright {\textcopyright} 2022 The Authors.",

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AU - Le, Manh Linh

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AU - Cho, Jeong Ho

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Neurorobotic approaches to emulate human motor control with the integration of artificial synapse

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