Number of items: 1.
This study has been supported by the UK EPSRC project EP/K019368/1: “Self-Resilient Reconfigurable Assembly Systems with In-process Quality Improvement� and the WMG-IIT scholarship offered by WMG, University of Warwick
Sinha, Sumit, Glorieux, Emile, Franciosa, Pasquale and Ceglarek, Dariusz
(2019)
3D convolutional neural networks to estimate assembly process parameters using 3D point-clouds.
In: SPIE Optical Metrology, Munich, Germany, 24-27 Jun 2019. Published in: Proceedings of SPIE : Multimodal Sensing: Technologies and Applications, 11059
p. 10.
doi:10.1117/12.2526062
ISSN 0277-786X.
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