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A pneumatic random-access memory for controlling soft robots

Pneumatically-actuated soft robots have advantages over traditional rigid robots in many applications. In particular, their flexible bodies and gentle air-powered movements make them more suitable for use around humans and other objects that could be injured or damaged by traditional robots. However...

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Detalles Bibliográficos
Autores principales: Hoang, Shane, Karydis, Konstantinos, Brisk, Philip, Grover, William H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284813/
https://www.ncbi.nlm.nih.gov/pubmed/34270580
http://dx.doi.org/10.1371/journal.pone.0254524
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author Hoang, Shane
Karydis, Konstantinos
Brisk, Philip
Grover, William H.
author_facet Hoang, Shane
Karydis, Konstantinos
Brisk, Philip
Grover, William H.
author_sort Hoang, Shane
collection PubMed
description Pneumatically-actuated soft robots have advantages over traditional rigid robots in many applications. In particular, their flexible bodies and gentle air-powered movements make them more suitable for use around humans and other objects that could be injured or damaged by traditional robots. However, existing systems for controlling soft robots currently require dedicated electromechanical hardware (usually solenoid valves) to maintain the actuation state (expanded or contracted) of each independent actuator. When combined with power, computation, and sensing components, this control hardware adds considerable cost, size, and power demands to the robot, thereby limiting the feasibility of soft robots in many important application areas. In this work, we introduce a pneumatic memory that uses air (not electricity) to set and maintain the states of large numbers of soft robotic actuators without dedicated electromechanical hardware. These pneumatic logic circuits use normally-closed microfluidic valves as transistor-like elements; this enables our circuits to support more complex computational functions than those built from normally-open valves. We demonstrate an eight-bit nonvolatile random-access pneumatic memory (RAM) that can maintain the states of multiple actuators, control both individual actuators and multiple actuators simultaneously using a pneumatic version of time division multiplexing (TDM), and set actuators to any intermediate position using a pneumatic version of analog-to-digital conversion. We perform proof-of-concept experimental testing of our pneumatic RAM by using it to control soft robotic hands playing individual notes, chords, and songs on a piano keyboard. By dramatically reducing the amount of hardware required to control multiple independent actuators in pneumatic soft robots, our pneumatic RAM can accelerate the spread of soft robotic technologies to a wide range of important application areas.
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spelling pubmed-82848132021-07-28 A pneumatic random-access memory for controlling soft robots Hoang, Shane Karydis, Konstantinos Brisk, Philip Grover, William H. PLoS One Research Article Pneumatically-actuated soft robots have advantages over traditional rigid robots in many applications. In particular, their flexible bodies and gentle air-powered movements make them more suitable for use around humans and other objects that could be injured or damaged by traditional robots. However, existing systems for controlling soft robots currently require dedicated electromechanical hardware (usually solenoid valves) to maintain the actuation state (expanded or contracted) of each independent actuator. When combined with power, computation, and sensing components, this control hardware adds considerable cost, size, and power demands to the robot, thereby limiting the feasibility of soft robots in many important application areas. In this work, we introduce a pneumatic memory that uses air (not electricity) to set and maintain the states of large numbers of soft robotic actuators without dedicated electromechanical hardware. These pneumatic logic circuits use normally-closed microfluidic valves as transistor-like elements; this enables our circuits to support more complex computational functions than those built from normally-open valves. We demonstrate an eight-bit nonvolatile random-access pneumatic memory (RAM) that can maintain the states of multiple actuators, control both individual actuators and multiple actuators simultaneously using a pneumatic version of time division multiplexing (TDM), and set actuators to any intermediate position using a pneumatic version of analog-to-digital conversion. We perform proof-of-concept experimental testing of our pneumatic RAM by using it to control soft robotic hands playing individual notes, chords, and songs on a piano keyboard. By dramatically reducing the amount of hardware required to control multiple independent actuators in pneumatic soft robots, our pneumatic RAM can accelerate the spread of soft robotic technologies to a wide range of important application areas. Public Library of Science 2021-07-16 /pmc/articles/PMC8284813/ /pubmed/34270580 http://dx.doi.org/10.1371/journal.pone.0254524 Text en © 2021 Hoang et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hoang, Shane
Karydis, Konstantinos
Brisk, Philip
Grover, William H.
A pneumatic random-access memory for controlling soft robots
title A pneumatic random-access memory for controlling soft robots
title_full A pneumatic random-access memory for controlling soft robots
title_fullStr A pneumatic random-access memory for controlling soft robots
title_full_unstemmed A pneumatic random-access memory for controlling soft robots
title_short A pneumatic random-access memory for controlling soft robots
title_sort pneumatic random-access memory for controlling soft robots
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8284813/
https://www.ncbi.nlm.nih.gov/pubmed/34270580
http://dx.doi.org/10.1371/journal.pone.0254524
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