Predicting the performance of a tactile sensor from its composition and morphology is nearly impossible with traditional computational approaches. Machine learning can not only predict device-level performance, but also recommend new material compositions for soft machine applications.
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The authors declare no competing interests.
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Glazar, J.T., Shenoy, V.B. Data-driven design of soft sensors. Nat Mach Intell 4, 194–195 (2022). https://doi.org/10.1038/s42256-022-00453-z