2026
From Pixels to Predicates: Learning Symbolic World Models via Pretrained VLMs
RA-L 2026
Our aim is to learn to solve long-horizon decision-making problems in complex robotics domains given low-level skills and a handful of demonstrations containing sequences of images. To this end, we focus on learning abstract symbolic world models that facilitate zero-shot generalization to novel goa