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Neuromuscular actuation of biohybrid motile bots.

Authors :
Aydin, Onur
Xiaotian Zhang
Nuethong, Sittinon
Pagan-Diaz, Gelson J.
Bashir, Rashid
Gazzola, Mattia
Saif, M. Taher A.
Source :
Proceedings of the National Academy of Sciences of the United States of America. Oct2019, Vol. 116 Issue 40, p19841-19847. 7p.
Publication Year :
2019

Abstract

The integration of muscle cells with soft robotics in recent years has led to the development of biohybrid machines capable of untethered locomotion. A major frontier that currently remains unexplored is neuronal actuation and control of such muscle-powered biohybrid machines. As a step toward this goal, we present here a biohybrid swimmer driven by on-board neuromuscular units. The body of the swimmer consists of a free-standing soft scaffold, skeletal muscle tissue, and optogenetic stem cell-derived neural cluster containing motor neurons. Myoblasts embedded in extracellular matrix self-organize into a muscle tissue guided by the geometry of the scaffold, and the resulting muscle tissue is cocultured in situ with a neural cluster. Motor neurons then extend neurites selectively toward the muscle and innervate it, developing functional neuromuscular units. Based on this initial construct, we computationally designed, optimized, and implemented light-sensitive flagellar swimmers actuated by these neuromuscular units. Cyclic muscle contractions, induced by neural stimulation, drive time-irreversible flagellar dynamics, thereby providing thrust for untethered forward locomotion of the swimmer. Overall, this work demonstrates an example of a biohybrid robot implementing neuromuscular actuation and illustrates a path toward the forward design and control of neuron-enabled biohybrid machines. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00278424
Volume :
116
Issue :
40
Database :
Academic Search Index
Journal :
Proceedings of the National Academy of Sciences of the United States of America
Publication Type :
Academic Journal
Accession number :
138969309
Full Text :
https://doi.org/10.1073/pnas.1907051116