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Robot Leaders Debate the Generalization Bottleneck

At WRC2026, leaders from 29 embodied-AI companies broadly agreed that generalization is the field’s biggest technical and commercial bottleneck, and that progress depends heavily on data and real-world scenarios. They disagreed over whether scaling VLA models, building world models, using simulation, adopting brain-inspired architectures, or combining these approaches will deliver robust cross-task and cross-environment performance.

虎嗅 · 23d ago