{"title":"用于人工触觉突触的仿生触觉传感器","authors":"Ling-Feng Liu, Zhe-Rui Zhao, Qi-Jun Sun, Guowu Tang, Xin-Gui Tang, Ye Zhou","doi":"10.1016/j.mtphys.2025.101890","DOIUrl":null,"url":null,"abstract":"Human skin-inspired tactile perception holds transformative potential for dexterous robotic manipulation, intelligent medical rehabilitation, and immersive virtual reality. However, the development of high-fidelity artificial tactile neuron systems is constrained by the scarcity of biomimetic synapses capable of concurrent sensing and neuromorphic processing. This work introduces a high-performance piezoresistive tactile sensor fabricated via a facile parallel-microstructure design enhanced with carbon powder-modified conductive pathways. The sensor achieves ultrahigh sensitivity (16.27 kPa<sup>-1</sup> in the 0-2 kPa range), a rapid response time (37 ms), and exceptional stability (>1,500 cycles). Its multimodal detection capabilities enable simultaneous monitoring of physiological signals and human motion kinematics. Furthermore, integration with a memristor establishes a fully functional artificial tactile neuron system. These findings provide a scalable architecture for merging high-sensitivity tactile sensing with neuromorphic computing, offering critical insights for advancing intelligent robotics, neuroprosthetics, and brain-machine interfaces that require human-like haptic intelligence.","PeriodicalId":18253,"journal":{"name":"Materials Today Physics","volume":"77 1","pages":""},"PeriodicalIF":9.7000,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Bio-Inspired Tactile Sensor for Artificial Tactile Synapses\",\"authors\":\"Ling-Feng Liu, Zhe-Rui Zhao, Qi-Jun Sun, Guowu Tang, Xin-Gui Tang, Ye Zhou\",\"doi\":\"10.1016/j.mtphys.2025.101890\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Human skin-inspired tactile perception holds transformative potential for dexterous robotic manipulation, intelligent medical rehabilitation, and immersive virtual reality. However, the development of high-fidelity artificial tactile neuron systems is constrained by the scarcity of biomimetic synapses capable of concurrent sensing and neuromorphic processing. This work introduces a high-performance piezoresistive tactile sensor fabricated via a facile parallel-microstructure design enhanced with carbon powder-modified conductive pathways. The sensor achieves ultrahigh sensitivity (16.27 kPa<sup>-1</sup> in the 0-2 kPa range), a rapid response time (37 ms), and exceptional stability (>1,500 cycles). Its multimodal detection capabilities enable simultaneous monitoring of physiological signals and human motion kinematics. Furthermore, integration with a memristor establishes a fully functional artificial tactile neuron system. These findings provide a scalable architecture for merging high-sensitivity tactile sensing with neuromorphic computing, offering critical insights for advancing intelligent robotics, neuroprosthetics, and brain-machine interfaces that require human-like haptic intelligence.\",\"PeriodicalId\":18253,\"journal\":{\"name\":\"Materials Today Physics\",\"volume\":\"77 1\",\"pages\":\"\"},\"PeriodicalIF\":9.7000,\"publicationDate\":\"2025-10-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Materials Today Physics\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1016/j.mtphys.2025.101890\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Today Physics","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1016/j.mtphys.2025.101890","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
A Bio-Inspired Tactile Sensor for Artificial Tactile Synapses
Human skin-inspired tactile perception holds transformative potential for dexterous robotic manipulation, intelligent medical rehabilitation, and immersive virtual reality. However, the development of high-fidelity artificial tactile neuron systems is constrained by the scarcity of biomimetic synapses capable of concurrent sensing and neuromorphic processing. This work introduces a high-performance piezoresistive tactile sensor fabricated via a facile parallel-microstructure design enhanced with carbon powder-modified conductive pathways. The sensor achieves ultrahigh sensitivity (16.27 kPa-1 in the 0-2 kPa range), a rapid response time (37 ms), and exceptional stability (>1,500 cycles). Its multimodal detection capabilities enable simultaneous monitoring of physiological signals and human motion kinematics. Furthermore, integration with a memristor establishes a fully functional artificial tactile neuron system. These findings provide a scalable architecture for merging high-sensitivity tactile sensing with neuromorphic computing, offering critical insights for advancing intelligent robotics, neuroprosthetics, and brain-machine interfaces that require human-like haptic intelligence.
期刊介绍:
Materials Today Physics is a multi-disciplinary journal focused on the physics of materials, encompassing both the physical properties and materials synthesis. Operating at the interface of physics and materials science, this journal covers one of the largest and most dynamic fields within physical science. The forefront research in materials physics is driving advancements in new materials, uncovering new physics, and fostering novel applications at an unprecedented pace.