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

Research output: Contribution to journalArticlepeer-review

24 Scopus citations

Abstract

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.

Original languageEnglish
Article number8896948
Pages (from-to)5407-5410
Number of pages4
JournalIEEE Transactions on Electron Devices
Volume66
Issue number12
DOIs
StatePublished - Dec 2019

Keywords

  • Actuator
  • artificial intelligence (AI)
  • flexible sensor array

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