触觉传感器
机器人学
解码方法
计算机科学
制作
钥匙(锁)
人工智能
导电体
液态金属
材料科学
计算机视觉
光子学
电压
电接点
平面的
电子工程
导电的
声学
接触力
方案(数学)
图像传感器
软机器人
信号(编程语言)
作者
E G Wang,Mingyuan Sun,Du‐An Ge,Shuai Dong,G L,Xiao Pan,Hongtai Ren,Y C Zhu,Hu Jin,Shi‐Yang Tang,Xiangpeng Li,Weihua Li,Shiwu Zhang
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2026-04-29
卷期号:12 (18): eaec3673-eaec3673
被引量:3
标识
DOI:10.1126/sciadv.aec3673
摘要
Multimodal tactile sensing is crucial for next-generation robotics and human-machine interaction, but conventional solutions based on discrete sensor arrays suffer from complexity, limited flexibility, and high fabrication costs. Here, we introduce a continuum sensing paradigm based on a continuous liquid metal enabled flexible tactile sensing (CLiMETS) platform. This approach eliminates the need for sensor arrays by decoding tactile information from a single, unstructured liquid metal (LM) surface. We reveal a key mechanism where the deformation-induced voltage of the LM's electric double layer (EDL) is synergistically amplified by over two orders of magnitude upon contact with a conductive rod. Our geometrically encoded, dual-channel scheme enables precise 5 by 5 localization and eight-directional sliding recognition. We further demonstrate the platform's feasibility by realizing postprocessing visual feedback of an LED array, effectively translating complex tactile inputs into corresponding optical outputs. The CLiMETS platform offers a minimalist yet highly versatile proof-of-concept sensing modality, laying a strong foundation for more adaptive and interactive tactile technologies.
科研通智能强力驱动
Strongly Powered by AbleSci AI