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Mexican-Hat-Like Response in a Flexible Tactile Sensor Using a Magnetorheological Elastomer
Takumi Kawasetsu1, Takato Horii2, Hisashi Ishihara3
1Department of Adaptive Machine Systems, Graduate School of Engineering, Osaka University, Suita 5650871, Japan. takumi.kawasetsu@ams.eng.osaka-u.ac.jp.
Sensors (Basel, Switzerland)
|February 15, 2018
Summary
This study introduces a novel flexible tactile sensor for robots, achieving high sensitivity. The sensor
Area of Science:
- Robotics
- Materials Science
- Sensor Technology
Background:
- Robots require a sense of touch, but existing flexible tactile sensors face challenges like deformation-induced fractures, poor maintainability, and sensitivity loss.
- These limitations hinder the development of advanced robotic systems that rely on tactile feedback.
Purpose of the Study:
- To address the limitations of current flexible tactile sensors.
- To propose and investigate a novel flexible tactile sensor design for robotic applications.
Main Methods:
- Developed a flexible tactile sensor utilizing a magnet, magnetic transducer, and a dual-layer elastomer (magnetorheological and nonmagnetic elastomer sheets).
- Evaluated sensor sensitivity, signal-to-noise ratio, and response curve characteristics, including hysteresis.
- Investigated the spatial response of the sensor, analyzing its response shape and the effect of material compressibility.
Main Results:
- The sensor demonstrated high sensitivity (approximately 161 mV/N) with a signal-to-noise ratio of 42.2 dB.
- A speed-dependent hysteresis was observed in the sensor's response curve.
- A distorted Mexican-hat-like bipolar spatial response was recorded, featuring a negative response area surrounding a positive one. This negative area was eliminated when using a compressible sponge sheet.
Conclusions:
- The developed flexible tactile sensor offers high sensitivity and a unique spatial response.
- The incompressibility of the nonmagnetic elastomer is identified as the source of the characteristic negative response in the Mexican-hat-like output.
- This research contributes to advancing tactile sensing capabilities in robotics.
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