신수련 (Harvard Medical School/Brigham and Women’s Hospital) | 한빛사논문 > 한빛사

한빛사논문

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Harvard Medical School/Brigham and Women’s Hospital

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Sci. Robot., Sep 25 2024, 9 (94) | https://doi.org/10.1126/scirobotics.ado0051 Wirelessly steerable bioelectronic neuromuscular robots adapting neurocardiac junctions

Hiroyuki Tetsuka^1,2, Samuele Gobbi ³, Takaaki Hatanaka ^1,2, Lorenzo Pirrami ³, Su Ryon Shin^1*

¹Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 65 Lansdowne Street, Cambridge, MA 02139, USA.

²Research Strategy Office, Toyota Research Institute of North America, Toyota Motor North America, 1555 Woodridge Avenue, Ann Arbor, MI 48105, USA.

³iPrint Institute, HEIA-FR, HES-SO University of Applied Sciences and Arts Western Switzerland, Fribourg 1700, Switzerland.

^*Corresponding author : Su Ryon Shin

Abstract

Biological motions of native muscle tissues rely on the nervous system to interface movement with the surrounding environment. The neural innervation of muscles, crucial for regulating movement, is the fundamental infrastructure for swiftly responding to changes in body tissue requirements. This study introduces a bioelectronic neuromuscular robot integrated with the motor nervous system through electrical synapses to evoke cardiac muscle activities and steer robotic motion. Serving as an artificial brain and wirelessly regulating selective neural activation to initiate robot fin motion, a wireless frequency multiplexing bioelectronic device is used to control the robot. Frequency multiplexing bioelectronics enables the control of the robot locomotion speed and direction by modulating the flapping of the robot fins through the wireless motor innervation of cardiac muscles. The robots demonstrated an average locomotion speed of ~0.52 ± 0.22 millimeters per second, fin-flapping frequency up to 2.0 hertz, and turning locomotion path curvature of ~0.11 ± 0.04 radians per millimeter. These systems will contribute to the expansion of biohybrid machines into the brain-to-motor frontier for developing autonomous biohybrid systems capable of advanced adaptive motor control and learning.

논문정보

형식Research article
게재일2024년 09월 (BRIC 등록일 2024-09-27)
연구진국외 연구진
분야 바이오·의료융합 > 바이오소재

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