TY - GEN
T1 - Multi-person Collaborative Augmented Reality Assembly Process Evaluation System Based on HoloLens
AU - Wang, Jing Fei
AU - Hu, Yao Guang
AU - Yang, Xiao Nan
N1 - Publisher Copyright:
© 2022, Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - With the development of products in the direction of products in complexity and sophistication, assembly process planning becomes a complex and time-consuming issue in manufacturing. Augmented reality (AR), especially collaborative augmented reality, can be used to aid the design of assembly processes, help efficiently evaluate and improve the designed assembly process from multiple perspectives. This paper presents a methodology and the associated system for enhancing assembly process scheme evaluation in assembly process plan stage using collaborative augmented reality. It first describes the overall scheme of the system that based on a role-based multi-person collaboration method. Subsequently, system features like: AR collaborative environment (synchronization of multiple AR devices), AR assembly simulation (virtual model manipulation, collision detection), AR assistant evaluation tools (AR observation tool, visualize performance data, AR evaluation table) are described. Finally, this paper illustrates possible usages and potential benefits of how collaborative AR helps evaluate the assembly process and helps find the bottleneck of assembly step through a use case study.
AB - With the development of products in the direction of products in complexity and sophistication, assembly process planning becomes a complex and time-consuming issue in manufacturing. Augmented reality (AR), especially collaborative augmented reality, can be used to aid the design of assembly processes, help efficiently evaluate and improve the designed assembly process from multiple perspectives. This paper presents a methodology and the associated system for enhancing assembly process scheme evaluation in assembly process plan stage using collaborative augmented reality. It first describes the overall scheme of the system that based on a role-based multi-person collaboration method. Subsequently, system features like: AR collaborative environment (synchronization of multiple AR devices), AR assembly simulation (virtual model manipulation, collision detection), AR assistant evaluation tools (AR observation tool, visualize performance data, AR evaluation table) are described. Finally, this paper illustrates possible usages and potential benefits of how collaborative AR helps evaluate the assembly process and helps find the bottleneck of assembly step through a use case study.
KW - Assembly process evaluation
KW - Augmented reality
KW - Multi-person collaboration
UR - http://www.scopus.com/inward/record.url?scp=85131940590&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-06015-1_25
DO - 10.1007/978-3-031-06015-1_25
M3 - Conference contribution
AN - SCOPUS:85131940590
SN - 9783031060144
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 369
EP - 380
BT - Virtual, Augmented and Mixed Reality
A2 - Chen, Jessie Y.
A2 - Fragomeni, Gino
PB - Springer Science and Business Media Deutschland GmbH
T2 - 14th International Conference on Virtual, Augmented and Mixed Reality, VAMR 2022 Held as Part of the 24th HCI International Conference, HCII 2022
Y2 - 26 June 2022 through 1 July 2022
ER -