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arXiv AI By Ayoub Louaye Bouaziz, Matthieu Ostertag, Anton Demasles

World Models for Cross-Machine CNC Transfer under Partial Sensor Overlap

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The paper investigates whether a command‑conditioned latent world model, trained on a source CNC machine with 17 sensor channels, can transfer its predictive capability to a target machine that shares only 10 of those channels. Experiments show that latent‑predictive pretraining offers no advantage over training from scratch on the source data, and that the transferred model outperforms a persistence baseline on the target but falls short of forecasters that normalize each input window by its own statistics. The study highlights that cross‑machine transfer under partial sensor overlap presents a unique challenge for command‑conditioned world models.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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