Targeting World Models to Compromise Robot Learning Pipelines

Ethan Rathbun, Ahmed Agha, Saaduddin Mahmud +3

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 envi…