期刊
INTEGRATED COMPUTER-AIDED ENGINEERING
卷 28, 期 2, 页码 159-175出版社
IOS PRESS
DOI: 10.3233/ICA-200637
关键词
Internet of Things; Industry 4.0; gesture control; human-robot interaction; wireless communications; wearables
类别
资金
- Spanish Ministerio de Ciencia e Innovacion, Agencia Estatal 1045 de Investigacion (AEI)/European Regional Development Fund (FEDER, UE) [PID2020-115220RBC21, RTI2018-098156-B-C52]
- iRel40 project
- VALU3S project
- iRel40 - ECSEL Joint Undertaking (JU) [876659]
- VALU3S - ECSEL Joint Undertaking (JU) [876852]
- Horizon 2020 research programme
- Free State of Saxony
- Free State of Thuringia
- Free State of Austria
- Free State of Belgium
- Free State of Finland
- Free State of France
- Free State of Italy
- Free State of Netherlands
- Free State of Slovakia
- Free State of Spain
- Free State of Sweden
- Free State of Turkey
- Ministerio de Ciencia e Innovacion [DIN2018010177, RYC-2017-1053 22836]
- FEDER, UE at Universidad de Castilla-La Mancha [2019-PREDUCLM-10703]
- [PCI2020-112240]
- [PCI2020-112001]
Industry 4.0 aims to enhance digitalization in industrial environments through a combination of technology and human factors. The testing of a system utilizing IoT, big data, and human-robot collaboration has demonstrated its capabilities in real-time performance, success rate, flexibility, and scalability.
In the context of fast-growing digitization of industrial environments, Industry 4.0 aims to improve key elements to achieve more efficient processes, flexibility in customizing products and reduction in energy consumption, among other objectives. This paper presents a system that exploits the Internet of Things (IoT), massive data computation, and human-robot collaboration to reach these goals. The described system combines technological and human-centered aspects to enhance human-robot interaction. In fact, the human factor cannot be left aside when technological advances affecting society are foreseen. The proposal has been tested on a gesture control system that enables a natural interaction with a robotic arm through the use of IoT-oriented inertial measurement unit devices. These devices capture the movements of both human's arms. Experiments of a technical nature have been run to measure accuracy and latency. In addition, human-centered tests have been conducted with real users to determine the level of intuitiveness and acceptance of the proposed gesture control. The results obtained demonstrate that the proposal meets the demands in terms of real-time, success rate, flexibility and scalability, which are fundamental requirements in Industry 4.0. The usability results have enabled drawing useful conclusions on the use of such human-robot interaction systems.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据