Design of an Inductive Torque Sensor for Robotic Applications

IF 4.3 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Ji-Hun Meng;Seo-Hyun Kim;Jae-Bok Song
{"title":"Design of an Inductive Torque Sensor for Robotic Applications","authors":"Ji-Hun Meng;Seo-Hyun Kim;Jae-Bok Song","doi":"10.1109/JSEN.2025.3541215","DOIUrl":null,"url":null,"abstract":"Collaborative robots enhance work efficiency through human-interaction functionalities, such as collision detection and direct teaching. These functionalities are often achieved by equipping each rotary joint of the robot with torque sensors, which improves workspace safety and convenience. However, commercial strain gauge-based torque sensors are often unsuitable for collaborative robots due to their high cost and incompatible form factors. Moreover, various forces applied to the robot’s joints induce crosstalk errors in the torque sensors, which degrades the overall performance. Previous studies have addressed crosstalk errors by employing complex processing methods or mechanisms that induce structural deformation in specific directions. Although these approaches effectively decrease crosstalk error, they often increase the size or cost of torque sensors, which limits their applicability to robots. This study proposes a novel torque sensor based on the inductive sensing technology, characterized by high-torque measurement performance and a simplified manufacturing process. The proposed torque sensor estimates the torque by measuring the inductance of a rectangular coil implemented on a printed circuit board (PCB). The coil is designed to exhibit minimal inductance change under crosstalk conditions to minimize crosstalk errors. The developed torque sensor has a diameter of 90 mm and a thickness of 13 mm. The performance of the proposed sensor was evaluated in calibration and torque measurement experiments. Comparative studies with a commercial force/torque sensor (FTS) and crosstalk error measurements demonstrated the feasibility of the proposed torque sensor for use in collaborative robots.","PeriodicalId":447,"journal":{"name":"IEEE Sensors Journal","volume":"25 7","pages":"10749-10757"},"PeriodicalIF":4.3000,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Sensors Journal","FirstCategoryId":"103","ListUrlMain":"https://ieeexplore.ieee.org/document/10899387/","RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Collaborative robots enhance work efficiency through human-interaction functionalities, such as collision detection and direct teaching. These functionalities are often achieved by equipping each rotary joint of the robot with torque sensors, which improves workspace safety and convenience. However, commercial strain gauge-based torque sensors are often unsuitable for collaborative robots due to their high cost and incompatible form factors. Moreover, various forces applied to the robot’s joints induce crosstalk errors in the torque sensors, which degrades the overall performance. Previous studies have addressed crosstalk errors by employing complex processing methods or mechanisms that induce structural deformation in specific directions. Although these approaches effectively decrease crosstalk error, they often increase the size or cost of torque sensors, which limits their applicability to robots. This study proposes a novel torque sensor based on the inductive sensing technology, characterized by high-torque measurement performance and a simplified manufacturing process. The proposed torque sensor estimates the torque by measuring the inductance of a rectangular coil implemented on a printed circuit board (PCB). The coil is designed to exhibit minimal inductance change under crosstalk conditions to minimize crosstalk errors. The developed torque sensor has a diameter of 90 mm and a thickness of 13 mm. The performance of the proposed sensor was evaluated in calibration and torque measurement experiments. Comparative studies with a commercial force/torque sensor (FTS) and crosstalk error measurements demonstrated the feasibility of the proposed torque sensor for use in collaborative robots.
求助全文
约1分钟内获得全文 求助全文
来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信