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

doi:10.1038/s41467-021-27672-z

	A star-nose-like tactile-olfactory bionic sensing array for robust object recognition in non-visual environments
	Liu, Mengwei 1,2; Zhang, Yujia 1,2; Wang, Jiachuang 1,2; Qin, Nan 1; Yang, Heng 1,2; Sun, Ke 1,2; Hao, Jie 3; Shu, Lin 3; Liu, Jiarui 3; Chen, Qiang 4; Zhang, Pingping 5; Tao, Tiger H.1,2,6,7,8,9,10,11
	2022-12-01
发表期刊	NATURE COMMUNICATIONS
EISSN	2041-1723
卷号	13 期号:1
发表状态	已发表
DOI	10.1038/s41467-021-27672-z
摘要	Object recognition is among the basic survival skills of human beings and other animals. To date, artificial intelligence (AI) assisted high-performance object recognition is primarily visual-based, empowered by the rapid development of sensing and computational capabilities. Here, we report a tactile-olfactory sensing array, which was inspired by the natural sense-fusion system of star-nose mole, and can permit real-time acquisition of the local topography, stiffness, and odor of a variety of objects without visual input. The tactile-olfactory information is processed by a bioinspired olfactory-tactile associated machine-learning algorithm, essentially mimicking the biological fusion procedures in the neural system of the star-nose mole. Aiming to achieve human identification during rescue missions in challenging environments such as dark or buried scenarios, our tactile-olfactory intelligent sensing system could classify 11 typical objects with an accuracy of 96.9% in a simulated rescue scenario at a fire department test site. The tactile-olfactory bionic sensing system required no visual input and showed superior tolerance to environmental interference, highlighting its great potential for robust object recognition in difficult environments where other methods fall short.
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语种	英语
Scopus 记录号	2-s2.0-85122867523
来源库	Scopus
引用统计
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/153578
专题	物质科学与技术学院_特聘教授组_陶虎组
作者单位	1.State Key Laboratory of Transducer Technology,Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai,200050,China 2.School of Graduate Study,University of Chinese Academy of Sciences,Beijing,100049,China 3.Institute of Automation,Chinese Academy of Sciences,Beijing,100049,China 4.Shanghai Fire Research Institute of MEM,Shanghai,200003,China 5.Suzhou Huiwen Nanotechnology Co.,Ltd,Suzhou,215004,China 6.Center of Materials Science and Optoelectronics Engineering,University of Chinese Academy of Sciences,Beijing,100049,China 7.2020 X-Lab,Shanghai Institute of Microsystem and Information Technology,Chinese Academy of Sciences,Shanghai,200050,China 8.School of Physical Science and Technology,ShanghaiTech University,Shanghai,200031,China 9.Institute of Brain-Intelligence Technology,Zhangjiang Laboratory,Shanghai,200031,China 10.Shanghai Research Center for Brain Science and Brain-Inspired Intelligence,Shanghai,200031,China 11.Center for Excellence in Brain Science and Intelligence Technology,Chinese Academy of Sciences,Shanghai,200031,China
推荐引用方式 GB/T 7714	Liu, Mengwei,Zhang, Yujia,Wang, Jiachuang,et al. A star-nose-like tactile-olfactory bionic sensing array for robust object recognition in non-visual environments[J]. NATURE COMMUNICATIONS,2022,13(1).
APA	Liu, Mengwei.,Zhang, Yujia.,Wang, Jiachuang.,Qin, Nan.,Yang, Heng.,...&Tao, Tiger H..(2022).A star-nose-like tactile-olfactory bionic sensing array for robust object recognition in non-visual environments.NATURE COMMUNICATIONS,13(1).
MLA	Liu, Mengwei,et al."A star-nose-like tactile-olfactory bionic sensing array for robust object recognition in non-visual environments".NATURE COMMUNICATIONS 13.1(2022).