基于光纤Bragg光栅的机器人软手指形状和硬度感知

IF 1.6 4区工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Instrumentation & Measurement Magazine Pub Date : 2023-05-01 DOI:10.1109/MIM.2023.10121386

Q. Jiang, Jialiang Yan

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引用次数: 0

摘要

由于对机械手触觉传感的需求不断增加，本文设计了一种能够实现物体形状识别和硬度检测的软机械手。利用光纤布拉格光栅（FBG）的高灵敏度和波分复用特性，提出了一种单光纤与多光纤串联的分布式检测方法，该方法可以同时解调弯曲和压力，减少布线，提高效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Shape and Hardness Perception of Robot Soft Finger Based on Fiber Bragg Grating

Due to the increasing demand for tactile sensing of robotic hands, this paper designs a soft robot hand that can realize object shape recognition and hardness detection. Taking advantage of the high sensitivity and wavelength division multiplexing of Fiber Bragg Gratings (FBG), a distributed detection method using a single fiber in series with multiple FBG is proposed, which can demodulate bending and pressure at the same time, reduce wiring and improve efficiency.

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来源期刊

IEEE Instrumentation & Measurement Magazine 工程技术-工程：电子与电气

CiteScore

4.20

自引率

4.80%

发文量

147

审稿时长

>12 weeks

期刊介绍： IEEE Instrumentation & Measurement Magazine is a bimonthly publication. It publishes in February, April, June, August, October, and December of each year. The magazine covers a wide variety of topics in instrumentation, measurement, and systems that measure or instrument equipment or other systems. The magazine has the goal of providing readable introductions and overviews of technology in instrumentation and measurement to a wide engineering audience. It does this through articles, tutorials, columns, and departments. Its goal is to cross disciplines to encourage further research and development in instrumentation and measurement.