World Models for Cross-Machine CNC Transfer under Partial Sensor Overlap
Industrial world models must move between machines whose dynamics, sensing interfaces and command conventions differ. This study asks whether a command-conditioned latent world model, trained to predict future representations of the process rather than to reconstruct future samples, keeps its value on a machine it has never seen: a source CNC machine exposes 17 sensor channels, the target sharing 10 of those. All model selection uses source data only, and the locked configuration is evaluated on the target once. Two findings follow. First, latent-predictive pretraining brings no in-domain forecasting gain over matched training from scratch, so source accuracy alone cannot show what such a...
| Authors | Ayoub Louaye Bouaziz, Matthieu Ostertag, Anton Demasles |
|---|---|
| Primary category | cs.LG |
| Published | 13 September 2026 |
| Last updated at source | 23 September 2026 |
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