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Research Article

A high-sensitive and self-selective humanoid mechanoreceptor for spatiotemporal tactile stimuli cognition

Shuxin Bi1,2,§, Xuan Zhao1,2,§, Fangfang Gao1,2, Xiaochen Xun1,2, Bin Zhao1,2, Liangxu Xu1,2, Tian Ouyang1,2, Qingliang Liao1,2( ), Yue Zhang1,2( )
Academy for Advanced Interdisciplinary Science and Technology, Beijing Advanced Innovation Center for Materials Genome Engineering, University of Science and Technology (Beijing), Beijing 100083, China
Key Laboratory of Advanced Materials and Devices for Post-Moore Chips, Ministry of Education, Beijing Key Laboratory for Advanced Energy Materials and Technologies, School of Materials Science and Engineering, University of Science and Technology Beijing, Beijing 100083, China

§ Shuxin Bi and Xuan Zhao contributed equally to this work.

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Graphical Abstract

A high-sensitive and self-selective humanoid mechanoreceptor (HMR) which can precisely respond to spatiotemporal tactile stimuli is proposed. Assisted by the convolutional neural network, the HMR is capable of identifying objects with the accuracy of 99.1%.

Abstract

The cognition of spatiotemporal tactile stimuli, including fine spatial stimuli and static/dynamic temporal stimuli, is paramount for intelligent robots to feel their surroundings and complete manipulation tasks. However, current tactile sensors have restrictions on simultaneously demonstrating high sensitivity and performing selective responses to static/dynamic stimuli, making it a challenge to effectively cognize spatiotemporal tactile stimuli. Here, we report a high-sensitive and self-selective humanoid mechanoreceptor (HMR) that can precisely respond to spatiotemporal tactile stimuli. The HMR with PDMS/chitosan@CNTs (PDMS: polydimethylsiloxane; CNT: carbon nanotube) graded microstructures and polyurethane hierarchical porous spacer exhibits high sensitivity of 3790.8 kPa−1. The HMR demonstrates self-selective responses to static and dynamic stimuli with mono signal through the hybrid of piezoresistive and triboelectric mechanisms. Consequently, it can respond to spatiotemporal tactile stimuli and generate distinguishable and multi-type characteristic signals. With the assistance of the convolutional neural network, multiple target objects can be easily identified with a high accuracy of 99.1%. This work shows great potential in object precise identification and dexterous manipulation, which is the basis of intelligent robots and natural human-machine interactions.

Keywords

mechanoreceptorsself-selectivehigh-sensitivespatiotemporal tactile stimuli cognitionsensors

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Nano Research
Volume 17 Issue 5,
May 2024
Pages 4400-4409
DOI: 10.1007/s12274-023-6248-z
Cite this article:
Bi S, Zhao X, Gao F, et al. A high-sensitive and self-selective humanoid mechanoreceptor for spatiotemporal tactile stimuli cognition. Nano Research, 2024, 17(5): 4400-4409. https://doi.org/10.1007/s12274-023-6248-z
Topics:
Conductive filmsElectrospinningFabricationFilms MicrostructureNanoelectronics Nanogenerators NanostructuresPolymer films Pressure sensors

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Received: 13 July 2023
Revised: 12 September 2023
Accepted: 05 October 2023
Published: 09 November 2023
© Tsinghua University Press 2023
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