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Tsinghua-linked VPP2 world action model tops RoboDojo simulation leaderboard

Original title (Chinese)

清华具身模型登顶全球第一!突围GPT-6、英伟达,不靠外挂和额外数据

AISummary

Star Motion Era's VPP2, a world action model, ranked first on the RoboDojo simulation leaderboard with a 32.26% average success rate and 39.26 average score. The article attributes gains to staged training that separates video prediction from action learning, and reports a 58.5% zero-shot success rate on a real ALOHA dual-arm robot versus 40% for π0.5. The code is open source on GitHub.

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Source: QbitAI · qbitai.comPublished · added here