A soft, self-sensing tensile valve for perceptive soft robots
Nature Communications, ISSN: 2041-1723, Vol: 14, Issue: 1, Page: 3942
2023
- 26Citations
- 40Captures
- 5Mentions
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations26
- Citation Indexes26
- 26
- CrossRef1
- Captures40
- Readers40
- 40
- Mentions5
- News Mentions5
- News5
Most Recent News
Researcher team develops soft valve technology to enable sensing and control integration in soft robots
Soft self-sensing tensile valve (STV) transducing strain into manageable proportional output pressures. Credit: UNIST Soft inflatable robots have emerged as a promising paradigm for applications
Article Description
Soft inflatable robots are a promising paradigm for applications that benefit from their inherent safety and adaptability. However, for perception, complex connections of rigid electronics both in hardware and software remain the mainstay. Although recent efforts have created soft analogs of individual rigid components, the integration of sensing and control systems is challenging to achieve without compromising the complete softness, form factor, or capabilities. Here, we report a soft self-sensing tensile valve that integrates the functional capabilities of sensors and control valves to directly transform applied tensile strain into distinctive steady-state output pressure states using only a single, constant pressure source. By harnessing a unique mechanism, “helical pinching”, we derive physical sharing of both sensing and control valve structures, achieving all-in-one integration in a compact form factor. We demonstrate programmability and applicability of our platform, illustrating a pathway towards fully soft, electronics-free, untethered, and autonomous robotic systems.
Bibliographic Details
Springer Science and Business Media LLC
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