Design and Characterization of a Soft Multi-Axis Force Sensor Using Embedded Microfluidic Channels
By Daniel M. Vogt, Yong‐Lae Park, Robert J. Wood. IEEE Sensors Journal, 2013
251 citations recorded by the source corpus.
Subfields: Atomic and Molecular Physics, and Optics, Biomedical Engineering
View Paper: https://www.semanticscholar.org/paper/8df53951f5b8eeef39a79d7ca31cf8b4b0e15fe2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Robert J. Wood
- Daniel M. Vogt
- Conor James Walsh
- Michael Thomas Tolley
- Yong‐Lae Park
- Yigit Mengüç
- Fumiya Iida
- Cecilia Laschi
Citations in the corpus
- Stronger, Smarter, Softer: Next-Generation Wearable Robots (2014, background): “The compliant nature of these sensors means they can be integrated into wearable garments and robots [28], [37], [41], [45], [46].”
- A Resilient, Untethered Soft Robot (2014, unknown): “However, the addition of off-the-shelf bidirectional communication hardware (e.g., Xbee Wireless RF modules) would allow remote operation with live video feedback.”
- Soft Manipulators and Grippers: A Review (2016, methodology): “Soft multi-axis force sensors have been also developed (Vogt et al., 2013).”
- Soft robot perception using embedded soft sensors and recurrent neural networks (2019, background): “Another prominent strain sensor design has its basis in metals that are liquid at room temperature, encased in a nonconductive elastomer (19, 20).”
- Wearable soft sensing suit for human gait measurement (2014, methodology): “A possible future effort is adding pressure-sensing elements on top of the strain-sensing element in each sensor, so that each sensor itself has the capability to detect compression in addition to strain (Park et al., 2012; Vogt et al., 2013).”