Optical and electrical dual-mode tactile sensor with interlinked interfaces recording normal force and slip for closed-loop robotics

触觉传感器 打滑(空气动力学) 机器人 滑倒 机器人学 压力传感器 材料科学 振动 压阻效应 声学 计算机科学 执行机构 人工肌肉 电子皮肤 人工智能 机械工程 工程类 光电子学 物理 航空航天工程
作者
Kedong Shang,Changliu He,Jian Zhou,Ling Peng,Xulei Lu,Chunqiao Fu,Yong Zhang,Chuan Lin Tang,Linmao Qian,Tingting Yang
出处
期刊:Chemical Engineering Journal [Elsevier BV]
卷期号:475: 146279-146279 被引量:24
标识
DOI:10.1016/j.cej.2023.146279
摘要

The rapid development of electronic skin will allow disabled people and intelligent robots to interact more effectively with their surroundings. Nevertheless, it remains challenging to simultaneously capture multi-dimensional personalized information (including pressure and slip sensation) through simple device structure design with high stability under complex mechanical conditions. Here, a tactile sensor with simple structure and reliable performance (withstand considerable stretching, twisting, bending, and vibration) is designed for pressure and slip sensing. It is implemented by optical and electrical dual-mode sensing mechanisms and high toughness interlinked interface strategy (interfacial toughness ∼ 33.69 Jm−2, nearly 5 times higher than control sample). This device is composed of a periodic microstructured piezoresistive layer and a triboelectrification-induced electroluminescent (TIEL) layer, both of which are based on the quasi-homogeneous PDMS (polydimethylsiloxane) composite. The whole device possesses the characteristics of lightness, flexibility, and light-transmitting. Besides, the device could automatically locate and track the slip motion while detecting the normal pressure in a large range (0–––1,000 kPa). As an application demonstration, the sensor is installed on a flexible manipulator and combined with the closed-loop control system. Compared to a single electrical mode, the optical and electrical dual-mode tactile sensor could more accurately monitor the sliding of the clamped object, adjust the clamping force instantly, and avoid object slipping. The unique performance of the device shows great potential in trajectory recognition, artificial limbs, intelligent robots, and human–machine interfaces.
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