Flexible Multilayer Tactile Sensor on a Soft Robotic Fingertip

被引:2
|
作者
Sankar, Sriramana [1 ]
Slepyan, Ariel [2 ]
Iskarous, Mark M. [1 ]
Cheng, Wen-Yu [3 ]
DeBrabander, Rene [1 ]
Zhang, Jinghua [1 ]
Gupta, Arnav [4 ]
Thakor, Nitish, V [1 ,2 ]
机构
[1] Johns Hopkins Univ, Dept Biomed Engn, Baltimore, MD 21218 USA
[2] Johns Hopkins Univ, Dept Elect & Comp Engn, Baltimore, MD 21218 USA
[3] Florida Atlantic Univ, Dept Elect Engn & Comp Sci, Boca Raton, FL 33431 USA
[4] Univ Illinois, Dept Biomed Engn, Chicago, IL USA
来源
关键词
flexible tactile sensing; soft robotics; neuromorphic encoding; biomimetic sensing;
D O I
10.1109/SENSORS52175.2022.9967059
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Tactile sensing is an integral aspect of interacting with our environment, where textural information can be essential to properly manipulate objects. Soft robotic fingers are compliant biomimetic solutions for upper-limb prosthesis. Therefore, adding tactile sensing capabilities such as texture discrimination on a soft robotic finger can create a compliant and precise prosthetic hand for an amputee. In this study, we emulate a human fingertip by incorporating a flexible, biomimetic, and multilayered tactile sensor into a soft robotic fingertip for a texture discrimination task where thirteen textures were passively palpated. The sensor was able to achieve a texture classification accuracy of 97.12% when the sensor output was neuromorphically encoded to mimic the receptors in human skin. This work is a step in the direction of a more human-like prosthetic hand to help enhance amputees' perception and interaction with their environment.
引用
收藏
页数:4
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