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Sensing in Soft Robotics

[Image: see text] Soft robotics is an exciting field of science and technology that enables robots to manipulate objects with human-like dexterity. Soft robots can handle delicate objects with care, access remote areas, and offer realistic feedback on their handling performance. However, increased d...

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Autores principales: Hegde, Chidanand, Su, Jiangtao, Tan, Joel Ming Rui, He, Ke, Chen, Xiaodong, Magdassi, Shlomo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448757/
https://www.ncbi.nlm.nih.gov/pubmed/37530475
http://dx.doi.org/10.1021/acsnano.3c04089
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author Hegde, Chidanand
Su, Jiangtao
Tan, Joel Ming Rui
He, Ke
Chen, Xiaodong
Magdassi, Shlomo
author_facet Hegde, Chidanand
Su, Jiangtao
Tan, Joel Ming Rui
He, Ke
Chen, Xiaodong
Magdassi, Shlomo
author_sort Hegde, Chidanand
collection PubMed
description [Image: see text] Soft robotics is an exciting field of science and technology that enables robots to manipulate objects with human-like dexterity. Soft robots can handle delicate objects with care, access remote areas, and offer realistic feedback on their handling performance. However, increased dexterity and mechanical compliance of soft robots come with the need for accurate control of the position and shape of these robots. Therefore, soft robots must be equipped with sensors for better perception of their surroundings, location, force, temperature, shape, and other stimuli for effective usage. This review highlights recent progress in sensing feedback technologies for soft robotic applications. It begins with an introduction to actuation technologies and material selection in soft robotics, followed by an in-depth exploration of various types of sensors, their integration methods, and the benefits of multimodal sensing, signal processing, and control strategies. A short description of current market leaders in soft robotics is also included in the review to illustrate the growing demands of this technology. By examining the latest advancements in sensing feedback technologies for soft robots, this review aims to highlight the potential of soft robotics and inspire innovation in the field.
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spelling pubmed-104487572023-08-25 Sensing in Soft Robotics Hegde, Chidanand Su, Jiangtao Tan, Joel Ming Rui He, Ke Chen, Xiaodong Magdassi, Shlomo ACS Nano [Image: see text] Soft robotics is an exciting field of science and technology that enables robots to manipulate objects with human-like dexterity. Soft robots can handle delicate objects with care, access remote areas, and offer realistic feedback on their handling performance. However, increased dexterity and mechanical compliance of soft robots come with the need for accurate control of the position and shape of these robots. Therefore, soft robots must be equipped with sensors for better perception of their surroundings, location, force, temperature, shape, and other stimuli for effective usage. This review highlights recent progress in sensing feedback technologies for soft robotic applications. It begins with an introduction to actuation technologies and material selection in soft robotics, followed by an in-depth exploration of various types of sensors, their integration methods, and the benefits of multimodal sensing, signal processing, and control strategies. A short description of current market leaders in soft robotics is also included in the review to illustrate the growing demands of this technology. By examining the latest advancements in sensing feedback technologies for soft robots, this review aims to highlight the potential of soft robotics and inspire innovation in the field. American Chemical Society 2023-08-02 /pmc/articles/PMC10448757/ /pubmed/37530475 http://dx.doi.org/10.1021/acsnano.3c04089 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Hegde, Chidanand
Su, Jiangtao
Tan, Joel Ming Rui
He, Ke
Chen, Xiaodong
Magdassi, Shlomo
Sensing in Soft Robotics
title Sensing in Soft Robotics
title_full Sensing in Soft Robotics
title_fullStr Sensing in Soft Robotics
title_full_unstemmed Sensing in Soft Robotics
title_short Sensing in Soft Robotics
title_sort sensing in soft robotics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10448757/
https://www.ncbi.nlm.nih.gov/pubmed/37530475
http://dx.doi.org/10.1021/acsnano.3c04089
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