Multi-modal deformation and temperature sensing for context-sensitive machines
Abstract Owing to the remarkable properties of the somatosensory system, human skin compactly perceives myriad forms of physical stimuli with high precision. Machines, conversely, are often equipped with sensory suites constituted of dozens of unique sensors, each made for detecting limited stimuli....
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-11-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-023-42655-y |
| _version_ | 1827581517940916224 |
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| author | Robert Baines Fabio Zuliani Neil Chennoufi Sagar Joshi Rebecca Kramer-Bottiglio Jamie Paik |
| author_facet | Robert Baines Fabio Zuliani Neil Chennoufi Sagar Joshi Rebecca Kramer-Bottiglio Jamie Paik |
| author_sort | Robert Baines |
| collection | DOAJ |
| description | Abstract Owing to the remarkable properties of the somatosensory system, human skin compactly perceives myriad forms of physical stimuli with high precision. Machines, conversely, are often equipped with sensory suites constituted of dozens of unique sensors, each made for detecting limited stimuli. Emerging high degree-of-freedom human-robot interfaces and soft robot applications are delimited by the lack of simple, cohesive, and information-dense sensing technologies. Stepping toward biological levels of proprioception, we present a sensing technology capable of decoding omnidirectional bending, compression, stretch, binary changes in temperature, and combinations thereof. This multi-modal deformation and temperature sensor harnesses chromaticity and intensity of light as it travels through patterned elastomer doped with functional dyes. Deformations and temperature shifts augment the light chromaticity and intensity, resulting in a one-to-one mapping between stimulus modes that are sequentially combined and the sensor output. We study the working principle of the sensor via a comprehensive opto-thermo-mechanical assay, and find that the information density provided by a single sensing element permits deciphering rich and diverse human-robot and robot-environmental interactions. |
| first_indexed | 2024-03-08T22:37:42Z |
| format | Article |
| id | doaj.art-b39ea9c96dc54dc28497dceb7454caca |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-03-08T22:37:42Z |
| publishDate | 2023-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-b39ea9c96dc54dc28497dceb7454caca2023-12-17T12:24:07ZengNature PortfolioNature Communications2041-17232023-11-0114111410.1038/s41467-023-42655-yMulti-modal deformation and temperature sensing for context-sensitive machinesRobert Baines0Fabio Zuliani1Neil Chennoufi2Sagar Joshi3Rebecca Kramer-Bottiglio4Jamie Paik5School of Engineering & Applied Science, Yale UniversitySchool of Engineering, Ecole Polytechnique Fédérale de LausanneSchool of Engineering, Ecole Polytechnique Fédérale de LausanneSchool of Engineering, Ecole Polytechnique Fédérale de LausanneSchool of Engineering & Applied Science, Yale UniversitySchool of Engineering, Ecole Polytechnique Fédérale de LausanneAbstract Owing to the remarkable properties of the somatosensory system, human skin compactly perceives myriad forms of physical stimuli with high precision. Machines, conversely, are often equipped with sensory suites constituted of dozens of unique sensors, each made for detecting limited stimuli. Emerging high degree-of-freedom human-robot interfaces and soft robot applications are delimited by the lack of simple, cohesive, and information-dense sensing technologies. Stepping toward biological levels of proprioception, we present a sensing technology capable of decoding omnidirectional bending, compression, stretch, binary changes in temperature, and combinations thereof. This multi-modal deformation and temperature sensor harnesses chromaticity and intensity of light as it travels through patterned elastomer doped with functional dyes. Deformations and temperature shifts augment the light chromaticity and intensity, resulting in a one-to-one mapping between stimulus modes that are sequentially combined and the sensor output. We study the working principle of the sensor via a comprehensive opto-thermo-mechanical assay, and find that the information density provided by a single sensing element permits deciphering rich and diverse human-robot and robot-environmental interactions.https://doi.org/10.1038/s41467-023-42655-y |
| spellingShingle | Robert Baines Fabio Zuliani Neil Chennoufi Sagar Joshi Rebecca Kramer-Bottiglio Jamie Paik Multi-modal deformation and temperature sensing for context-sensitive machines Nature Communications |
| title | Multi-modal deformation and temperature sensing for context-sensitive machines |
| title_full | Multi-modal deformation and temperature sensing for context-sensitive machines |
| title_fullStr | Multi-modal deformation and temperature sensing for context-sensitive machines |
| title_full_unstemmed | Multi-modal deformation and temperature sensing for context-sensitive machines |
| title_short | Multi-modal deformation and temperature sensing for context-sensitive machines |
| title_sort | multi modal deformation and temperature sensing for context sensitive machines |
| url | https://doi.org/10.1038/s41467-023-42655-y |
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