EnvDreamer: Large-Scale Multimodal-to-Environment Generation for Embodied AI

Excerpt

arXiv:2610.04301v1 Announce Type: new Abstract: Large datasets and high capacity models have accelerated progress in vision and language. This work introduces a platform aimed at bringing comparable gains to embodied learning, world models, and robotics. We present EnvDreamer, a framework that uses large language and vision language models to generate Unreal Engine 5 environments for embodied AI and robot training. EnvDreamer enables sampling of large, diverse, interactive, customizable, and val