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Ant's Zero-WAM robot beats baseline by 29.5% on unseen tasks

2026-09-01 Category: Briefs Comments(0)

Ant’s Lingbo Lab launches Zero-WAM robotics model, which learns tasks from human demonstration videos without task-specific training. It hit 46.95% average success on 7 unseen RoboTwin 2.0 tasks, beating baseline LingBot-VA by 29.5 percentage points. Dataset HumanGen pairs 74,200 human videos with robot trajectories across 8,600 tasks.

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