TY  - CHAP
A1  - Ulmer, Jessica
A1  - Braun, Sebastian
A1  - Wollert, Jörg
T1  - Adaptive VR-Produktionsumgebungen für Evaluations- und Schulungstätigkeiten
T1  - Adaptive VR production environments for evaluation and training purposes
T2  - Automation 2021: Navigating towards resilient Production
N2  - Industrie 4.0 stellt viele Herausforderungen an produzierende Unternehmen und ihre Beschäf-tigten. Innovative und effektive Trainingsstrategien sind erforderlich, um mit den sich schnell verändernden Produktionsumgebungen und neuen Fertigungstechnologien Schritt halten zu können. Virtual Reality (VR) bietet neue Möglichkeiten für On-the-Job, On-Demand- und Off-Premise-Schulungen.  Diese  Arbeit  stellt  ein  neues  VR  Schulungssystem  vor,  welches  sich  flexible an unterschiedliche Trainingsobjekte auf Grundlage von Rezepten und CAD Modellen anpassen lässt. Das Konzept basiert auf gerichteten azyklischen Graphen und einem Level-system.  Es  ermöglicht  eine  benutzerindividuelle  Lerngeschwindigkeit  mittels  visueller  Ele-mente. Das Konzept wurde für einen mechanischen Anwendungsfall mit Industriekomponen-ten implementiert und in der Industrie 4.0-Modellfabrik der FH Aachen umgesetzt.
N2  - Industry 4.0 poses many challenges for manufacturing companies and their employees. Inno-vative and effective training strategies are needed to keep pace with rapidly changing produc-tion environments and new manufacturing technologies. Virtual reality (VR) offers new oppor-tunities  for  on-the-job,  on-demand,  and  off-premise  training.  This  work  presents  a  new  VR  training system that can be flexibly adapted to different training objects based on recipes and CAD models. The concept is based on directed acyclic graphs and a level system. It allows a user-individual  learning  speed  by  means  of  visual  elements.  The  concept  was  implemented  for  a  mechanical  use  case  with  industrial  components  and  implemented  in  the  industry  4.0  model factory of the FH Aachen University of Applied Sciences.
Y1  - 2021
SN  - 978-3-18-092392-5
U6  - http://dx.doi.org/10.51202/9783181023921-55
SN  - 0083-5560
N1  - 22. Leitkongress der Mess- und Automatisierungstechnik, 9. und 30. Juni 2021.
SP  - 55
EP  - 64
PB  - VDI
CY  - Düsseldorf
ER  - 
TY  - CHAP
A1  - Ulmer, Jessica
A1  - Braun, Sebastian
A1  - Cheng, Chi-Tsun
A1  - Dowey, Steve
A1  - Wollert, Jörg
T1  - Adapting Augmented Reality Systems to the users’ needs using Gamification and error solving methods
T2  - Procedia CIRP
N2  - Animations of virtual items in AR support systems are typically predefined and lack interactions with dynamic physical environments. AR applications rarely consider users’ preferences and do not provide customized spontaneous support under unknown situations. This research focuses on developing adaptive, error-tolerant AR systems based on directed acyclic graphs and error resolving strategies. Using this approach, users will have more freedom of choice during AR supported work, which leads to more efficient workflows. Error correction methods based on CAD models and predefined process data create individual support possibilities. The framework is implemented in the Industry 4.0 model factory at FH Aachen.
KW  - Augmented Reality
KW  - Adaptive Systems
KW  - Gamification
KW  - Error Recovery
Y1  - 2021
U6  - http://dx.doi.org/10.1016/j.procir.2021.11.024
SN  - 2212-8271
N1  - Part of special issue: 54th CIRP CMS 2021 - Towards Digitalized Manufacturing 4.0
VL  - 104
SP  - 140
EP  - 145
PB  - Elsevier
CY  - Amsterdam
ER  -