ArticleCommunications engineering2026
Robust bionic distributed multimodal flexible sensor for extreme-condition sensing and intelligent operation.
Article in Communications engineering, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
7 authors.
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Abstract
Traditional multimodal flexible sensors struggle with system integration, limited node scalability, and overall robustness, posing multiple critical challenges. Inspired by the tiger-shark scalp, we present BDMFS, a robust bionic distributed multimodal flexible sensor, integrating an S-shaped optical network mimicking subcutaneous mechanoreceptors with a self-powered triboelectric interface emulating ampullae-based proximity sensing. A microstructured elastic dielectric layer serves as both optical substrate and triboelectric layer, providing exceptional flexibility, mechanical robustness, and environmental adaptability under diverse conditions. BDMFS enables spatiotemporally synchronized perception of proximity (~ 100 mm) and tactile (~ 5 ms) stimuli, detecting gentle touches of 0.25 g while withstanding 6.26 MPa pressures. Coupled with machine-learning, it achieves 95.26% object-proximity recognition accuracy, demonstrated in real-time virtual music teaching, adaptive grasping under low light, and wrist-mounted underwater teleoperation, highlighting its potential for intelligent control and advanced human-robot interaction in extreme environments.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.