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用于双模态传感和机器人目标识别的基于液态金属的双响应压力传感器。

Liquid Metal-Based Dual-Response Pressure Sensor for Dual-Modality Sensing and Robotic Object Recognition.

作者信息

Bai Yanru, Wang Zhi, Zhang Yizhuo, Guo Rui, Li Xisheng

机构信息

School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China.

School of Advanced Engineering, University of Science and Technology Beijing, Beijing 100083, China.

出版信息

Bioengineering (Basel). 2024 Nov 29;11(12):1211. doi: 10.3390/bioengineering11121211.

Abstract

Characterized by their high sensitivity and flexible deformation, flexible pressure sensors have been extensively applied in various fields such as wearable electronics, health monitoring, soft robotics, and human-computer interaction. In this research, we developed a dual-response pressure sensor (DRPS) designed to identify object materials. By integrating the operating principles of capacitive and resistive sensors and employing microstructured dielectric layers, we enhanced the sensitivity and detection range of the pressure sensor. Additionally, this research introduced an innovative, simple, and cost-effective method for preparing flexible pressure sensors. Following a comprehensive performance evaluation, the DRPS exhibited high sensitivity, a broad detection range, and robust stability. Finally, utilizing a mechanical claw equipped with an intelligent perception data collection system, we effectively distinguished various materials, further corroborating the practicality of DRPS in intelligent perception applications.

摘要

柔性压力传感器具有高灵敏度和灵活变形的特点,已广泛应用于可穿戴电子设备、健康监测、软体机器人和人机交互等各个领域。在本研究中,我们开发了一种用于识别物体材料的双响应压力传感器(DRPS)。通过整合电容式和电阻式传感器的工作原理并采用微结构化介电层,我们提高了压力传感器的灵敏度和检测范围。此外,本研究还介绍了一种创新、简单且经济高效的制备柔性压力传感器的方法。经过全面的性能评估,DRPS表现出高灵敏度、宽检测范围和强大的稳定性。最后,利用配备智能感知数据采集系统的机械爪,我们有效地区分了各种材料,进一步证实了DRPS在智能感知应用中的实用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb4e/11673121/51cc5f76b4f1/bioengineering-11-01211-g001.jpg

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