计算机科学
多学科方法
可穿戴计算机
光学(聚焦)
人机交互
灵活性(工程)
可穿戴技术
钥匙(锁)
工程类
智能决策支持系统
转化式学习
特征(语言学)
智能环境
智能传感器
有可能
适应(眼睛)
接口(物质)
新兴技术
系统工程
人工智能
触觉传感器
压力传感器
感知
自治
噪音(视频)
重大挑战
智能控制
系统集成
作者
Siyuan Wang,Ming Dong,Rongrong Bao,Caofeng Pan
标识
DOI:10.1002/aidi.202500112
摘要
Flexible tactile sensors, leveraging their deformability, low elastic modulus, and high sensitivity, have emerged as pivotal technologies in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review systematically examines advancements in wearable flexible pressure sensors, focusing on device designs, performance optimization strategies, and intelligent application paradigms. A critical focus of our analysis is on how artificial‐intelligence‐driven algorithms assist sensors in overcoming key challenges such as noise suppression, feature extraction, and environmental adaptability, leading to significantly enhanced perception accuracy and decision‐making autonomy in dynamic scenarios. The synergistic integration of sensing and computation is highlighted as a transformative approach for emerging applications like embodied intelligent navigation and adaptive motion control. Furthermore, existing technical barriers are identified, including challenges in device integration and computing latency, offering a roadmap for interdisciplinary innovation and industrial translation of next‐generation intelligent tactile systems.
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