TY - GEN
T1 - Robot Path Verification Method for Automotive Glue-Coating Based on Augmented Reality and Digital Twin
AU - Wang, Chaoran
AU - Yang, Xiaonan
AU - Zhang, Lei
AU - Hu, Yaoguang
AU - Li, Hongzhen
AU - Hao, Huihui
AU - Wang, Zhihan
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - The automotive glue-coating, as an important part of automobile manufacturing, has a crucial impact on automotive water-proof and rust-proof performances. The glue-coating robots need to be path planned with software, and the paths have to be repeatedly tested with the actual production line using prototype vehicles. There are multiple issues concerning nozzle damage and inefficiency by using the traditional glue-coating path verification method, which calls for a new method to solve these problems. This paper proposes a path verification method for automotive glue-coating based on augmented reality and digital twin. The results show that with this augmented reality and digital twin based method, the operator can observe the glue-coating process intuitively and immersively, so that he can adjust or re-plan the glue-coating path according to the verification results, even before the production of the actual prototype vehicle. The collision between the actual prototype vehicle and the nozzle of the glue-coating robot will be transformed into the collision between the virtual vehicle model and the robot digital twin, which can avoid nozzle damage, save a lot of time for waiting for the production of the prototype vehicle. This method is in line with the general trend of smart manufacturing development and effectively shortens the manufacturing cycle time.
AB - The automotive glue-coating, as an important part of automobile manufacturing, has a crucial impact on automotive water-proof and rust-proof performances. The glue-coating robots need to be path planned with software, and the paths have to be repeatedly tested with the actual production line using prototype vehicles. There are multiple issues concerning nozzle damage and inefficiency by using the traditional glue-coating path verification method, which calls for a new method to solve these problems. This paper proposes a path verification method for automotive glue-coating based on augmented reality and digital twin. The results show that with this augmented reality and digital twin based method, the operator can observe the glue-coating process intuitively and immersively, so that he can adjust or re-plan the glue-coating path according to the verification results, even before the production of the actual prototype vehicle. The collision between the actual prototype vehicle and the nozzle of the glue-coating robot will be transformed into the collision between the virtual vehicle model and the robot digital twin, which can avoid nozzle damage, save a lot of time for waiting for the production of the prototype vehicle. This method is in line with the general trend of smart manufacturing development and effectively shortens the manufacturing cycle time.
KW - Augmented reality
KW - Automotive glue-coating
KW - Digital twin
KW - Path verification
UR - http://www.scopus.com/inward/record.url?scp=85173058697&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-35602-5_19
DO - 10.1007/978-3-031-35602-5_19
M3 - Conference contribution
AN - SCOPUS:85173058697
SN - 9783031356018
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 258
EP - 267
BT - Human-Computer Interaction - Thematic Area, HCI 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Proceedings
A2 - Kurosu, Masaaki
A2 - Hashizume, Ayako
PB - Springer Science and Business Media Deutschland GmbH
T2 - Thematic Area on Human Computer Interaction, HCI 2023, held as part of the 25th International Conference on Human-Computer Interaction, HCII 2023
Y2 - 23 July 2023 through 28 July 2023
ER -
