Suppr超能文献

具有多感官整合能力的蝙蝠启发式仿生双峰主动认知电子皮肤

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

作者信息

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

机构信息

School of Information Science and Engineering, University of Jinan, Jinan 250022, China.

School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing 100081, China.

出版信息

Nano Lett. 2025 Apr 9;25(14):5784-5793. doi: 10.1021/acs.nanolett.5c00435. Epub 2025 Mar 26.

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.

摘要

赋予智能机器人与人类相当甚至超越人类的认知能力是实现更复杂、更精密交互的关键。目前,大多数电子皮肤(e-skin)在区分浅层物体属性方面表现出色,但在感知更深层次的物体属性时仍面临重大挑战。在此,受蝙蝠回声定位和触觉的多感官综合认知启发,设计了一种仿生双峰主动认知(BBAC)电子皮肤。这种电子皮肤利用特征融合机器学习方法从被动感知进化到高级主动认知,并进一步构建了基于多层感知器的双峰增强智能材料认知系统。该系统使集成了BBAC电子皮肤的智能机械臂能够通过简单的接近和接触动作,在不严格控制测试条件的情况下,实现对8种光滑表面物体的介电常数、柔软度和材料类型的协同认知,显著超越了人类的能力。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验