@article{Bi2024, 
author = {Shuxin Bi and Xuan Zhao and Fangfang Gao and Xiaochen Xun and Bin Zhao and Liangxu Xu and Tian Ouyang and Qingliang Liao and Yue Zhang},
title = {A high-sensitive and self-selective humanoid mechanoreceptor for spatiotemporal tactile stimuli cognition},
year = {2024},
journal = {Nano Research},
volume = {17},
number = {5},
pages = {4400-4409},
keywords = {mechanoreceptors, self-selective, high-sensitive, spatiotemporal tactile stimuli cognition, sensors},
url = {https://www.sciopen.com/article/10.1007/s12274-023-6248-z},
doi = {10.1007/s12274-023-6248-z},
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.}
}