Targeting World Models to Compromise Robot Learning Pipelines.

arXiv:2606.09499v2 Announce Type: replace-cross Abstract: World models have recently seen a rapid growth in both their popularity and capability as more data efficient tools for generating robot training data or simulating real world environments, with many wo