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A modular strategy for distributed, embodied control of electronics-free soft robots

Robots typically interact with their environments via feedback loops consisting of electronic sensors, microcontrollers, and actuators, which can be bulky and complex. Researchers have sought new strategies for achieving autonomous sensing and control in next-generation soft robots. We describe here...

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Detalles Bibliográficos
Autores principales: He, Qiguang, Yin, Rui, Hua, Yucong, Jiao, Weijian, Mo, Chengyang, Shu, Hang, Raney, Jordan R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328409/
https://www.ncbi.nlm.nih.gov/pubmed/37418520
http://dx.doi.org/10.1126/sciadv.ade9247
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author He, Qiguang
Yin, Rui
Hua, Yucong
Jiao, Weijian
Mo, Chengyang
Shu, Hang
Raney, Jordan R.
author_facet He, Qiguang
Yin, Rui
Hua, Yucong
Jiao, Weijian
Mo, Chengyang
Shu, Hang
Raney, Jordan R.
author_sort He, Qiguang
collection PubMed
description Robots typically interact with their environments via feedback loops consisting of electronic sensors, microcontrollers, and actuators, which can be bulky and complex. Researchers have sought new strategies for achieving autonomous sensing and control in next-generation soft robots. We describe here an electronics-free approach for autonomous control of soft robots, whose compositional and structural features embody the sensing, control, and actuation feedback loop of their soft bodies. Specifically, we design multiple modular control units that are regulated by responsive materials such as liquid crystal elastomers. These modules enable the robot to sense and respond to different external stimuli (light, heat, and solvents), causing autonomous changes to the robot’s trajectory. By combining multiple types of control modules, complex responses can be achieved, such as logical evaluations that require multiple events to occur in the environment before an action is performed. This framework for embodied control offers a new strategy toward autonomous soft robots that operate in uncertain or dynamic environments.
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spelling pubmed-103284092023-07-08 A modular strategy for distributed, embodied control of electronics-free soft robots He, Qiguang Yin, Rui Hua, Yucong Jiao, Weijian Mo, Chengyang Shu, Hang Raney, Jordan R. Sci Adv Physical and Materials Sciences Robots typically interact with their environments via feedback loops consisting of electronic sensors, microcontrollers, and actuators, which can be bulky and complex. Researchers have sought new strategies for achieving autonomous sensing and control in next-generation soft robots. We describe here an electronics-free approach for autonomous control of soft robots, whose compositional and structural features embody the sensing, control, and actuation feedback loop of their soft bodies. Specifically, we design multiple modular control units that are regulated by responsive materials such as liquid crystal elastomers. These modules enable the robot to sense and respond to different external stimuli (light, heat, and solvents), causing autonomous changes to the robot’s trajectory. By combining multiple types of control modules, complex responses can be achieved, such as logical evaluations that require multiple events to occur in the environment before an action is performed. This framework for embodied control offers a new strategy toward autonomous soft robots that operate in uncertain or dynamic environments. American Association for the Advancement of Science 2023-07-07 /pmc/articles/PMC10328409/ /pubmed/37418520 http://dx.doi.org/10.1126/sciadv.ade9247 Text en Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Physical and Materials Sciences
He, Qiguang
Yin, Rui
Hua, Yucong
Jiao, Weijian
Mo, Chengyang
Shu, Hang
Raney, Jordan R.
A modular strategy for distributed, embodied control of electronics-free soft robots
title A modular strategy for distributed, embodied control of electronics-free soft robots
title_full A modular strategy for distributed, embodied control of electronics-free soft robots
title_fullStr A modular strategy for distributed, embodied control of electronics-free soft robots
title_full_unstemmed A modular strategy for distributed, embodied control of electronics-free soft robots
title_short A modular strategy for distributed, embodied control of electronics-free soft robots
title_sort modular strategy for distributed, embodied control of electronics-free soft robots
topic Physical and Materials Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328409/
https://www.ncbi.nlm.nih.gov/pubmed/37418520
http://dx.doi.org/10.1126/sciadv.ade9247
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