RoboDream: Compositional World Models for Scalable Robot Data Synthesis 事件

RoboDream: Compositional World Models for Scalable Robot Data Synthesis arXiv:2606.02577v1 Announce Type: cross Abstract: Scaling robot learning requires large-scale, diverse demonstrations, yet real-world data collection via teleoperation remains prohibitively expensive and time-consuming. While video diffusion models offer a promising avenue for data scaling, existing generative approaches are often limited to superficial visual augmentation, or suffer from embodiment hallucinations that yiel