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Toward Perceptive Soft Robots: Progress and Challenges

In the past few years, soft robotics has rapidly become an emerging research topic, opening new possibilities for addressing real‐world tasks. Perception can enable robots to effectively explore the unknown world, and interact safely with humans and the environment. Among all extero‐ and propriocept...

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Detalles Bibliográficos
Autores principales: Wang, Hongbo, Totaro, Massimo, Beccai, Lucia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6145216/
https://www.ncbi.nlm.nih.gov/pubmed/30250796
http://dx.doi.org/10.1002/advs.201800541
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author Wang, Hongbo
Totaro, Massimo
Beccai, Lucia
author_facet Wang, Hongbo
Totaro, Massimo
Beccai, Lucia
author_sort Wang, Hongbo
collection PubMed
description In the past few years, soft robotics has rapidly become an emerging research topic, opening new possibilities for addressing real‐world tasks. Perception can enable robots to effectively explore the unknown world, and interact safely with humans and the environment. Among all extero‐ and proprioception modalities, the detection of mechanical cues is vital, as with living beings. A variety of soft sensing technologies are available today, but there is still a gap to effectively utilize them in soft robots for practical applications. Here, the developments in soft robots with mechanical sensing are summarized to provide a comprehensive understanding of the state of the art in this field. Promising sensing technologies for mechanically perceptive soft robots are described, categorized, and their pros and cons are discussed. Strategies for designing soft sensors and criteria to evaluate their performance are outlined from the perspective of soft robotic applications. Challenges and trends in developing multimodal sensors, stretchable conductive materials and electronic interfaces, modeling techniques, and data interpretation for soft robotic sensing are highlighted. The knowledge gap and promising solutions toward perceptive soft robots are discussed and analyzed to provide a perspective in this field.
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spelling pubmed-61452162018-09-24 Toward Perceptive Soft Robots: Progress and Challenges Wang, Hongbo Totaro, Massimo Beccai, Lucia Adv Sci (Weinh) Progress Reports In the past few years, soft robotics has rapidly become an emerging research topic, opening new possibilities for addressing real‐world tasks. Perception can enable robots to effectively explore the unknown world, and interact safely with humans and the environment. Among all extero‐ and proprioception modalities, the detection of mechanical cues is vital, as with living beings. A variety of soft sensing technologies are available today, but there is still a gap to effectively utilize them in soft robots for practical applications. Here, the developments in soft robots with mechanical sensing are summarized to provide a comprehensive understanding of the state of the art in this field. Promising sensing technologies for mechanically perceptive soft robots are described, categorized, and their pros and cons are discussed. Strategies for designing soft sensors and criteria to evaluate their performance are outlined from the perspective of soft robotic applications. Challenges and trends in developing multimodal sensors, stretchable conductive materials and electronic interfaces, modeling techniques, and data interpretation for soft robotic sensing are highlighted. The knowledge gap and promising solutions toward perceptive soft robots are discussed and analyzed to provide a perspective in this field. John Wiley and Sons Inc. 2018-07-13 /pmc/articles/PMC6145216/ /pubmed/30250796 http://dx.doi.org/10.1002/advs.201800541 Text en © 2018 The Authors. Published by WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Progress Reports
Wang, Hongbo
Totaro, Massimo
Beccai, Lucia
Toward Perceptive Soft Robots: Progress and Challenges
title Toward Perceptive Soft Robots: Progress and Challenges
title_full Toward Perceptive Soft Robots: Progress and Challenges
title_fullStr Toward Perceptive Soft Robots: Progress and Challenges
title_full_unstemmed Toward Perceptive Soft Robots: Progress and Challenges
title_short Toward Perceptive Soft Robots: Progress and Challenges
title_sort toward perceptive soft robots: progress and challenges
topic Progress Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6145216/
https://www.ncbi.nlm.nih.gov/pubmed/30250796
http://dx.doi.org/10.1002/advs.201800541
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