L. Roveda

Diffusion models can dramatically improve the robustness of robot dynamics models to distribution shift, outperforming deterministic Transformers in challenging conditions.

Unlock faster robot learning: pretrained vision-language models can jump-start RL, slashing training time by 50% and enabling zero-shot sim-to-real transfer.