TY - JOUR
T1 - Mechanical computing
AU - Yasuda, Hiromi
AU - Buskohl, Philip R.
AU - Gillman, Andrew
AU - Murphey, Todd D.
AU - Stepney, Susan
AU - Vaia, Richard A.
AU - Raney, Jordan R.
N1 - Funding Information:
Acknowledgements H.Y. and J.R.R. acknowledge support from Army Research Office award number W911NF-1710147, Air Force Office of Scientific Research award number FA9550-19-1-0285 and DARPA Young Faculty Award W911NF2010278. P.R.B., A.G. and R.A.V. acknowledge support from the Materials and Manufacturing Directorate and the Air Force Office of Scientific Research of the Air Force Research Laboratory. T.D.M. acknowledges support from NSF 1837515 and ARO MURI award W911NF-19-1-0233. S.S. acknowledges support from the SpInspired project, EPSRC grant number EP/R032823/1.
Publisher Copyright:
© 2021, Springer Nature Limited.
PY - 2021/10/7
Y1 - 2021/10/7
N2 - Mechanical mechanisms have been used to process information for millennia, with famous examples ranging from the Antikythera mechanism of the Ancient Greeks to the analytical machines of Charles Babbage. More recently, electronic forms of computation and information processing have overtaken these mechanical forms, owing to better potential for miniaturization and integration. However, several unconventional computing approaches have recently been introduced, which blend ideas of information processing, materials science and robotics. This has raised the possibility of new mechanical computing systems that augment traditional electronic computing by interacting with and adapting to their environment. Here we discuss the use of mechanical mechanisms, and associated nonlinearities, as a means of processing information, with a view towards a framework in which adaptable materials and structures act as a distributed information processing network, even enabling information processing to be viewed as a material property, alongside traditional material properties such as strength and stiffness. We focus on approaches to abstract digital logic in mechanical systems, discuss how these systems differ from traditional electronic computing, and highlight the challenges and opportunities that they present.
AB - Mechanical mechanisms have been used to process information for millennia, with famous examples ranging from the Antikythera mechanism of the Ancient Greeks to the analytical machines of Charles Babbage. More recently, electronic forms of computation and information processing have overtaken these mechanical forms, owing to better potential for miniaturization and integration. However, several unconventional computing approaches have recently been introduced, which blend ideas of information processing, materials science and robotics. This has raised the possibility of new mechanical computing systems that augment traditional electronic computing by interacting with and adapting to their environment. Here we discuss the use of mechanical mechanisms, and associated nonlinearities, as a means of processing information, with a view towards a framework in which adaptable materials and structures act as a distributed information processing network, even enabling information processing to be viewed as a material property, alongside traditional material properties such as strength and stiffness. We focus on approaches to abstract digital logic in mechanical systems, discuss how these systems differ from traditional electronic computing, and highlight the challenges and opportunities that they present.
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U2 - 10.1038/s41586-021-03623-y
DO - 10.1038/s41586-021-03623-y
M3 - Review article
C2 - 34616053
AN - SCOPUS:85116487179
VL - 598
SP - 39
EP - 48
JO - Nature
JF - Nature
SN - 0028-0836
IS - 7879
ER -