Affordance-Graphed Task Worlds: Self-Evolving Task Generation for Scalable Embodied Learning

Xiang Liu, Sen Cui, Guocai Yao +4

Training robotic policies directly in the real world is expensive and unscalable. Although generative simulation enables large-scale data synthesis, current approaches often fail t…