HoloLEIV 2.0 hybrid XR environment for training and operation of robotic systems
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-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 language | English |
|---|---|
| Title of host publication | Smart Technologies for an All-Electric Society |
| Editors | Michael E. Auer, Reinhard Langmann, Dominik May, Manuel Morales |
| Place of Publication | Cham |
| Publisher | Springer, Cham |
| Pages | 223-234 |
| Number of pages | 12 |
| Volume | 2 |
| Edition | 1 |
| ISBN (electronic) | 978-3-032-07319-8 |
| ISBN (print) | 978-3-032-07318-1 |
| Publication status | Published - Apr 2026 |
| Peer-reviewed | Yes |
Publication series
| Series | Lecture Notes in Networks and Systems |
|---|---|
| Number | 1662 |
| ISSN | 2367-3370 |
Conference
| Title | 22nd International Conference on Smart Technologies & Education |
|---|---|
| Subtitle | Smart Technologies for an All-Electric Society |
| Abbreviated title | STE 2025 |
| Conference number | 22 |
| Duration | 9 - 11 April 2025 |
| Website | |
| Location | Instituto Profesional Duoc UC |
| City | Santiago |
| Country | Chile |
External IDs
| ORCID | /0000-0003-1370-064X/work/213146281 |
|---|---|
| Mendeley | 5ed45e6a-8a68-3add-a632-a530b70c6018 |
| Scopus | 105038459289 |
Keywords
Research priority areas of TU Dresden
Subject groups, research areas, subject areas according to Destatis
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Augemented Reality, Education, Extended Reality, Extended Reality (XR), Human machine interaction, Industry 4.0, Robotics