Bat-InspiredBionic Bimodal Active Cognitive ElectronicSkin with Multisensory Integration Ability

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.

Publication Details

Journal
Figshare
Published
2025-03-27
DOI
https://doi.org/10.1021/acs.nanolett.5c00435.s001
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00
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article

Bat-InspiredBionic Bimodal Active Cognitive ElectronicSkin with Multisensory Integration Ability

Figshare
Advanced Sensor and Energy Harvesting Materials
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Bat-InspiredBionic Bimodal Active Cognitive ElectronicSkin with Multisensory Integration Ability

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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.

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Openalex Percentile: Top 58%
Advanced Sensor and Energy Harvesting Materials
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Bat-InspiredBionic Bimodal Active Cognitive ElectronicSkin with Multisensory Integration Ability · Figshare (2025) | TGRS Research Map | TGRS