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Dual-Mode Sensor and Actuator to Learn Human-Hand Tracking and Grasping

  • Xiyue Tian
  • , Zheng Liu
  • , Junhao Chu
  • , Zheyu Liu
  • , Zewei Luo
  • , Xing Wu*
  • , Fei Qiao
  • , Xuewen Wang
  • , Guihong Li
  • , Jing Wu
  • , Jian Zhang
  • *此作品的通讯作者
  • East China Normal University
  • Tsinghua University
  • Nanyang Technological University
  • Northwestern Polytechnical University Xian

科研成果: 期刊稿件文章同行评审

摘要

Humans can track, grasp, and learn hand signatures while applying the subtle pressure values. An integrated sensory array and the actuator are the building blocks of a mechanical flexible system for detecting subtle pressure changes and transduction. However, due to different governing mechanisms of sensors and actuators, it is still challenging to fabricate sensors and actuators from the same structures, which limits the devices integration. Here, we report the synthesis of graphene (Gr)-graphene oxide (GO) heterostructure film and the application of Gr-GO heterostructure film in smart sense and action. Such smart flexible sensors-based Gr-GO heterostructure film could be applied to the hand tracking recognition with an advanced artificial intelligence (AI) recognition algorithm of 99.4% classification accuracy. The smart actuator-based Gr-GO heterostructure film can grasp objects like robotic arm simultaneously. This brief paves the way for a future all-in-one flexible smart sense-action system.

源语言英语
文章编号8896948
页(从-至)5407-5410
页数4
期刊IEEE Transactions on Electron Devices
66
12
DOI
出版状态已出版 - 12月 2019

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