首页> 外文期刊>電気学会論文誌. E, センサ·マイクロマシン準部門誌 >Development of an Arrayed Tactile Sensor Having Four Stories and Recognition of Contact State Using Neural Networks
【24h】

Development of an Arrayed Tactile Sensor Having Four Stories and Recognition of Contact State Using Neural Networks

机译:具有神经网络的四层阵列式触觉传感器的开发及接触状态的识别

获取原文
获取原文并翻译 | 示例
           

摘要

In the human skin, four kinds of tactile receptors are distributed three dimensionally, i.e., not only on the skin surface but also in the four corresponding depths of the skin. Imitating this, a tactile sensor having four stories is proposed, inside each story of which capacitive force sensing elements are distributed in an array. The recognition method of contact state using neural networks is proposed. The stress distribution of a sensor sheet is obtained, and the outputs of the sensing elements are simulated by FEM. By applying the outputs to neural networks, it is confirmed that the contact shape recognition is possible, and the sensor having four stories achieves higher recognition rate compared with that having one story. The MEMS fabrication method of an arrayed capacitive tactile sensor made of PDMS is proposed, in which Parylene is used as an anti-stiction layer for the purpose of peeling off the PDMS sheet easily from the substrate. By stacking this sensor one by one, fabrication of a sensor having four stories is possible. A sensor having one story is preliminarily fabricated. The basic performance of one force sensing element and that of an arrayed sensor composed of 3×3 elements are characterized, which shows the potential of the proposed sensor for tactile sensing.
机译:在人体皮肤中,四种触觉受体三维地分布,即不仅在皮肤表面上,而且在皮肤的四个相应深度中。模仿此,提出了具有四个层的触觉传感器,在每个层的内部,电容力感测元件以阵列的形式分布。提出了基于神经网络的接触状态识别方法。获得传感器板的应力分布,并通过有限元法对传感元件的输出进行仿真。通过将输出应用于神经网络,可以确认接触形状识别是可能的,并且具有四个故事的传感器与具有一个故事的传感器相比,具有更高的识别率。提出了一种由PDMS制成的阵列式电容式触觉传感器的MEMS制造方法,其中将聚对二甲苯用作抗粘着层,以容易地从衬底上剥离PDMS片。通过将传感器一个接一个地堆叠,可以制造具有四个层的传感器。预先制造了具有一个故事的传感器。表征了一个力感测元件和由3×3元件组成的阵列传感器的基本性能,这表明了所提出的传感器在触觉感测中的潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号