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AI CURATED HOT STORY · 11/1/2026

Fysiverse-UniWAM Unifies Navigation and Manipulation Without Large-Scale Robot Pretraining

1 reports archived1 independent sourcesupdated 11/1/2026, 12:00:00
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Fysics AI and Fudan University introduced Fysiverse-UniWAM, a unified model for autonomous navigation, mobile manipulation, and dexterous operations. By leveraging video world models instead of large-scale robot pretraining and constructing the MAP-Data dataset, it achieved top performance in 24 real-world tests, reducing average position error by 30.1% compared to baselines.

LATEST/Fysics AI and Fudan University introduced Fysiverse-UniWAM, a unified model for autonomous navigation, mobile manipulation, and dexterous operations. By leveraging video world models instead of large-scale robot pretraining and constructing the MAP-Data dataset, it achieved top performance in 24 real-world tests, reducing average position error by 30.1% compared to baselines.

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Total 1 reports · Latest first
  1. 机器之心 (微信公众号)T2·78 pts

    Fysiverse-UniWAM Unifies Navigation and Manipulation Without Large-Scale Robot Pretraining

    • Introduced UniWAM, a unified world action model integrating navigation, docking, and grasping
    • Leverages pretrained video world models as a starting point, avoiding reliance on massive real-robot pretraining data
    • Outperforms baselines in navigation precision and mobile manipulation success rates across MAP-Bench and 24 real-world tests