Bat-Inspired Bionic Bimodal Active Cognitive Electronic Skin 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.

Authors

Institutions

Publication Details

Journal
Nano Letters
Published
2025-03-27
DOI
https://doi.org/10.1021/acs.nanolett.5c00435
Citations
10
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
14.31
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Guozhen Shen, Song Gao, Hongsen Niu, Yang Li et al.
10 citations
Nano Letters
Tactile and Sensory Interactions
14.31
article

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

Guozhen Shen, Song Gao, Hongsen Niu, Yang Li, Xingyu Wang
article en
10 citations

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.

Nano LettersVol. 25(14)
Beijing Institute of Technology (CN), Shandong University (CN), University of Jinan (CN)
Openalex Percentile: Top 1%
Tactile and Sensory Interactions
14.31
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.