Bat-Inspired Bionic Bimodal Active Cognitive Electronic Skin with Multisensory Integration Ability

Xingyu Wang, Hongsen Niu*, Song Gao, Guozhen Shen*, Yang Li*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

Empowering intelligent robots with cognitive abilities that rival or even surpass those of humans is the key to enabling more complex and sophisticated interactions. Currently, most electronic skins (e-skins) perform excellently in distinguishing shallow object properties, but they still face significant challenges in perceiving deeper object properties. Here, inspired by the multisensory integrated cognition of echolocation and tactility in bats, a bionic bimodal active cognition (BBAC) e-skin is designed. This e-skin utilizes feature fusion machine learning methods to evolve from passive perception to advanced active cognition and, further, constructs a bimodal enhanced intelligent material cognition system based on multilayer perceptron. This system enables intelligent robotic hands integrated with BBAC e-skin to achieve synergistic cognition of dielectric constant, softness, and material types of 8 smooth surface objects through a simple proximity and contact action without strictly controlling the test conditions, significantly surpassing the ability of humans.

Original languageEnglish
Pages (from-to)5784-5793
Number of pages10
JournalNano Letters
Volume25
Issue number14
DOIs
Publication statusPublished - 9 Apr 2025
Externally publishedYes

Keywords

  • active cognition
  • artificial intelligence
  • electronic skin
  • fringing effect
  • multisensory integration

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