Object Shape Error Response Using Bayesian 3-D Convolutional Neural Networks for Assembly Systems With Compliant Parts

1 code implementation • 8 Dec 2021 • Sumit Sinha, Pasquale Franciosa and Dariusz Ceglarek

The paper proposes a novel Object Shape Error Response (OSER) approach to estimate the dimensional and geometric variation of assembled products and then, relate, these to process parameters, which can be interpreted as root causes (RC) of the object shape defects.

3D Shape Modeling Benchmarking +4