Seed2Scale: A Self-Evolving Data Engine with Parallel Worlds Expansion for Scalable Robot Learning
Seed2Scale is a self-evolving data engine designed to overcome the data bottleneck in Embodied AI by generating high-quality training data from minimal seed demonstrations. It uses a three-part system: a small collector, a large verifier, and a target model. This synergy creates an iterative loop where small models explore, large models verify quality, and the final target model learns complex skills autonomously.