Engineering and Technology

A star-nose-like tactile-olfactory bionic sensing array for robust object recognition in non-visual environments

M. Liu, Y. Zhang, et al.

This groundbreaking research by Mengwei Liu, Yujia Zhang, Jiachuang Wang, and their colleagues presents an innovative tactile-olfactory sensing array, inspired by the star-nosed mole, that remarkably classifies objects with high accuracy in non-visual environments. Achieving an impressive 96.9% accuracy in identifying various objects during a simulated rescue scenario, this study paves the way for advanced sensing technologies.

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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

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