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SIMETH Alexej

University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE)

Main Referenced Co-authors
PLAPPER, Peter  (4)
KUMAR, Atal Anil  (2)
Hinchy, Eoin P. (1)
Lee, Stephen K. H. (1)
McCarthy, Conor T. (1)
Main Referenced Keywords
Artificial Intelligence (2); Assembly (2); Automation (2); Computer Science Applications (1); Computer Vision (1);
Main Referenced Disciplines
Mechanical engineering (5)
Engineering, computing & technology: Multidisciplinary, general & others (1)

Publications (total 6)

The most downloaded
57 downloads
Simeth, A., Kumar, A. A., & Plapper. (2022). Using Artificial Intelligence to Facilitate Assembly Automation in High-Mix Low-Volume Production Scenario. Procedia CIRP, 107, 1029--1034. doi:10.1016/j.procir.2022.05.103 https://hdl.handle.net/10993/53401

The most cited

4 citations (Scopus®)

Simeth, A., Plaßmann, J., & Plapper, P. (2021). Detection of fluid level in bores for batch size one assembly automation using convolutional neural network. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 632, 86-93. doi:10.1007/978-3-030-85906-0_10 https://hdl.handle.net/10993/50701

SIMETH, A. (2023). AI-based Computer Vision to Enable Robotic Automation in High Mix Low Volume Assembly [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/57068

Lee, S. K. H., SIMETH, A., Hinchy, E. P., PLAPPER, P., O’Dowd, N. P., & McCarthy, C. T. (2023). A vision-based hole quality assessment technique for robotic drilling of composite materials using a hybrid classification model. International Journal of Advanced Manufacturing Technology. doi:10.1007/s00170-023-12290-4
Peer Reviewed verified by ORBi

Simeth, A., & Plapper, P. (2023). Artificial Intelligence Based Robotic Automation of Manual Assembly Tasks for Intelligent Manufacturing. In K. von Leipzig, N. Sacks, ... M. Mc Clelland (Eds.), Smart, Sustainable Manufacturing in an Ever-Changing World (pp. 137-148). Cham, Unknown/unspecified: Springer International Publishing. doi:10.1007/978-3-031-15602-1_11
Peer reviewed

Simeth, A., Kumar, A. A., & Plapper. (2022). Using Artificial Intelligence to Facilitate Assembly Automation in High-Mix Low-Volume Production Scenario. Procedia CIRP, 107, 1029--1034. doi:10.1016/j.procir.2022.05.103
Peer reviewed

Simeth, A., Plaßmann, J., & Plapper, P. (2021). Detection of fluid level in bores for batch size one assembly automation using convolutional neural network. Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 632, 86-93. doi:10.1007/978-3-030-85906-0_10
Peer reviewed

Simeth, A., Kumar, A. A., & Plapper, P. (2021). Convolutional Neural Network for detection of fluid level in bores for assembly automation. In R. Müller, P. Plapper, O. Brüls, G. A. Gerke, M. Vette-Steinkamp, ... A. Kanso (Eds.), Robotix-Academy Conference for Industrial Robotics (RACIR) 2021. Düren, Germany: Shaker.

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