HoloLEIV 2.0 hybrid XR environment for training and operation of robotic systems

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

Abstract

A novel hybrid XR environment is presented, which covers both the training for and the operation of industrial manufacturing equipment. In contrast to current approaches, which mostly focus on one of these two aspects, the discussed approach combines both parts to leverage symbiotic effects and reduce development overhead. In the presented case, a system for the robotized polymer injection molding was selected as an exemplary state of the art manufacturing machine and the HoloLens 2 as the XR device. Within the parts “Teaching“ and “Practice“ of the XR environment, users may learn the fundamental setup of the machine as well as its operation based on a 3D digital twin. The “Support“ part of the XR app provides comprehensive assistance in production environments while operating the actual machine. Wireless data interfaces and IIOT network protocols are used to realize this functionality. Furthermore, the XR app utilizes various visualizations and operating features, which are identical for all parts of the app. Using these data interfaces and application elements, both the real machine and the digital twin can be controlled in the same way. This allows to train new staff members without impeding regular production. Tests among the target audiences (future engineers and current machine operators) have shown that this new hybrid approach has a positive impact on understanding the manufacturing process and operating the machine. Furthermore, the targeted efficiency benefits while developing the hybrid XR environment were demonstrated. Additional cost-saving potential regarding hardware was identified along the way, making it even more affordable to utilize such systems among a larger audience.

Details

Original languageEnglish
Title of host publicationSmart Technologies for an All-Electric Society
EditorsMichael E. Auer, Reinhard Langmann, Dominik May, Manuel Morales
Place of PublicationCham
PublisherSpringer, Cham
Pages223-234
Number of pages12
Volume2
Edition1
ISBN (electronic)978-3-032-07319-8
ISBN (print)978-3-032-07318-1
Publication statusPublished - Apr 2026
Peer-reviewedYes

Publication series

SeriesLecture Notes in Networks and Systems
Number1662
ISSN2367-3370

Conference

Title22nd International Conference on Smart Technologies & Education
SubtitleSmart Technologies for an All-Electric Society
Abbreviated titleSTE 2025
Conference number22
Duration9 - 11 April 2025
Website
LocationInstituto Profesional Duoc UC
CitySantiago
CountryChile

External IDs

ORCID /0000-0003-1370-064X/work/213146281
Mendeley 5ed45e6a-8a68-3add-a632-a530b70c6018
Scopus 105038459289

Keywords

Subject groups, research areas, subject areas according to Destatis

Keywords

  • Augemented Reality, Education, Extended Reality, Extended Reality (XR), Human machine interaction, Industry 4.0, Robotics