A non-differential elastomer curvature sensor for softer-than-skin electronics

By Carmel Majidi, Rebecca K. Kramer, Robert J. Wood. 2011

163 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/56e7d11fe0b2cd3ef26a395e8929aa5c74696a2c

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In Biomedical Engineering

Citations in the corpus

Soft Material Characterization for Robotic Applications (2015, unknown): “17 Recent work on soft sensing technologies has employed liquid-metal-embedded elastomers to measure surface strain, 1,2,18 joint angles, 19,20 and applied pressure.”
A simple auxetic tubular structure with tuneable mechanical properties (2016, unknown): “Unlike our previous work [21] where a representative volume element (RVE) was employed,”
Design and Characterization of a Soft Multi-Axis Force Sensor Using Embedded Microfluidic Channels (2013, methodology): “Using these principles, properties such as multi-axial strain [12], normal surface pressure [13], [14], and bending curvature [15], [16] can be measured using only soft or liquid-phase materials.”
Wearable soft sensing suit for human gait measurement (2014, unknown): “The soft strain sensors were created out of liquid metal embedded in elastomers and were based on previous work in the Wood lab demonstrated in Park et al. (2010), Majidi et al. (2011), and Kramer et al. (2011).”
A Resilient, Untethered Soft Robot (2014, unknown): “The further development of feed-back control strategies based on the available audio and/or video sensors, or additional touch, smell, or other sensors that can be integrated into the soft robot design, 28–31 would allow for completely autonomous operation.”
Stronger, Smarter, Softer: Next-Generation Wearable Robots (2014, methodology): “To address the limitations of previous soft sensors, the Microrobotics Lab at Harvard designed a suite of soft sensors that can measure strain, pressure, curvature, and shear [40]– [44].”