ArticleScience advances2025
Flexible electronic brush: Real-time multimodal sensing powered by reservoir computing through whisker dynamics.
Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Decoupling multiphysics interference for precise, real-time piezoresistive airflow sensing by integrated laser-induced graphene system.Science advances · 2026Article
- Clarifying the landscape of mechanical sensors from stress to strain.Nature sensors · 2026Article
- Bioinspired flexible sensing-processing-visualizing integrated system towards tactile-visual signal recognition.Nature communications · 2026Article
- Vibrissae-inspired vision-based magnetic-actuated whisker.Nature communications · 2025Article
- MXene-Based High-Performance Soft Pressure Sensor Using Gel-Deep Eutectic Solvent Composite.Micromachines · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multimodal sensing using soft body dynamics plays a crucial role in controlling soft robotic motions. An intriguing application of such soft robot control is to mimic whiskers and digitize soft body motion through whisker dynamics. The challenge herein is to simultaneously monitor the directions, speed, force, and slip information of the whisker motion. The existing whisker-like sensors cannot detect slip information effectively. To address this challenge, this study develops a multitasking electronic brush (e-brush) composed of bundle of whiskers powered by reservoir computing (RC). Four pressure sensors are integrated into the brush to monitor its motion, speed, force, slip, and target surface. These sensors can provide long-term, low-pressure detection as low as 50 pascals, allowing for the precise monitoring of brush movements. A RC algorithm is developed to extract multiple brush motion parameters, including the slip. As a proof of concept for multitasking e-brush, the motion trajectory of handwriting is successfully detected.
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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.