Mates2Motion: Learning How Mechanical CAD Assemblies Work. (arXiv:2208.01779v1 [cs.CV])

We describe our work on inferring the degrees of freedom between mated parts
in mechanical assemblies using deep learning on CAD representations. We train
our model using a large dataset of real-world mechanical assemblies consisting
of CAD parts and mates joining them together. We present methods for
re-defining these mates to make them better reflect the motion of the assembly,
as well as narrowing down the possible axes of motion. We also conduct a user
study to create a motion-annotated …

arxiv cad cv learning work