A generic and modularized digital twin enabled human-robot collaboration

Xin Lu, Xiaoxia Li, Wei Wang, Kuo-Ming Chao, Lai Xu, Paul De Vrieze, Yanguo Jing

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Recently, the manufacturing paradigm shifts from mass production to mass customization, which results in urgently demands for the development of intelligent, flexible and automatic manufacturing systems for handling complex manufacturing tasks with high efficiency. The use of collaborative robots, an essential enabling technology for developing human-robot collaboration (HRC), is on the rise for human-centric intelligent automation design. An effective virtual simulation platform, which can continuously simulate and evaluate HRC performance in different working scenarios, is lacking in developing an HRC system in a sophisticated industrial arena. This paper presents a generic and modularized digital twin enabled HRC framework based on the synergy effect of human, robotic and environment-related factors to provide a flexible, compatible, re-configurable solution to ease the implementation of HRC in the real world. The feasibility of the proposed framework is validated through the practical implementation of a food packaging job, which involves a human operator and an ABB robotic arm collaboratively working together, on an industrial shop
Original languageEnglish
Title of host publication2022 IEEE International Conference on e-Business Engineering (ICEBE)
PublisherIEEE
Pages66-73
ISBN (Electronic)9781665492447
ISBN (Print)9781665492454
DOIs
Publication statusPublished - 7 Feb 2023
Event2022 IEEE International Conference on e-Business Engineering (ICEBE) - Bournemouth, United Kingdom
Duration: 14 Oct 202216 Oct 2022

Academic conference

Academic conference2022 IEEE International Conference on e-Business Engineering (ICEBE)
Country/TerritoryUnited Kingdom
CityBournemouth
Period14/10/2216/10/22

Keywords

  • manufacturing
  • automatic
  • Digital twin
  • human-robot collaboration

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