Vision-Language Steering is pitched as helping robot policies handle unfamiliar settings

In its October 1 announcement for episode 108, RoboPapers describes Vision-Language Steering as a way to improve how pretrained robot policies handle unfamiliar settings without new training data. It says the method guides sampling in a frozen diffusion or flow-matching policy when details such as obstacle position or visual appearance change.