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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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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. |
format | Online Article Text |
id | pubmed-6145216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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