A star-nose-like tactile-olfactory bionic sensing array for | ResearchBunny

Index

Abstract

This paper introduces a bio-inspired tactile-olfactory sensing array for object recognition in non-visual environments. The system, inspired by the star-nosed mole, combines tactile and olfactory information to classify objects with high accuracy. A bio-inspired machine learning algorithm processes the sensory data, achieving 96.9% accuracy in identifying 11 objects in a simulated rescue scenario.

Publisher

Nature Communications

Published On

Jan 10, 2022

Authors

Mengwei Liu, Yujia Zhang, Jiachuang Wang, Nan Qin, Heng Yang, Ke Sun, Jie Hao, Lin Shu, Jiarui Liu, Qiang Chen, Pingping Zhang, Tiger H. Tao

Related Publications

Explore these studies to deepen your understanding of the subject.

Engineering and Technology

A soft magnetoelectric finger for robots' multidirectional tactile perception in non-visual recognition environments

Y. Xu, S. Zhang, et al.

Engineering and Technology

A *Drosophila*-inspired intelligent olfactory biomimetic sensing system for gas recognition in complex environments

X. Yue, J. Wang, et al.

Engineering and Technology

A double-layered liquid metal-based electrochemical sensing system on fabric as a wearable detector for glucose in sweat

X. Chen, H. Wan, et al.

Engineering and Technology

A skin-conformal and breathable humidity sensor for emotional mode recognition and non-contact human-machine interface

T. Li, T. Zhao, et al.

Listen, Learn & Level Up

Over 10,000 hours of research content in 25+ fields, available in 12+ languages.

No more digging through PDFs—just hit play and absorb the world's latest research in your language, on your time.

listen to research audio papers with researchbunny