An Adaptive Framework for Augmented Reality Instructions Considering Workforce Skill

被引：27

作者：

Mourtzis, Dimitris ^{[1
]}

Xanthi, Fotini ^{[1
]}

Zogopoulos, Vasilios ^{[1
]}

机构：

[1] Univ Patras, Dept Mech Engn & Aeronaut, Lab Mfg Syst & Automat, Patras 26504, Greece

来源：

52ND CIRP CONFERENCE ON MANUFACTURING SYSTEMS (CMS) | 2019年 / 81卷

基金：

欧盟地平线“2020”;

关键词：

Human Skills; Augmented Reality; Workforce Development; REMOTE MAINTENANCE; INDUSTRY; 4.0; SYSTEM;

D O I：

10.1016/j.procir.2019.03.063

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Human resources have always been a key component in manufacturing systems. The digital transformation of modem shop floor undoubtedly induced the evolution of new requirements in workforce skills. In recent years, Augmented Reality (AR) has arisen as a promising technology for knowledge transfer across the factory. AR applications need to be tailored into the workforce skills, considering their limited experience. This paper presents an approach for AR instruction generation, adaptive to the shop floor operators' level of experience, to assist them in production machinery operation. The proposed framework is validated in a press brake manufacturer use case. (C) 2019 The Authors. Published by Elsevier Ltd.

引用

页码：363 / 368

页数：6

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