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AI CURATED HOT STORY · 10/29/2026

X-Era AI Open-Sources E0.5 World Action Model, Outperforming pi-0.5 on Real Robots

1 reports archived1 independent sourcesupdated 10/29/2026, 12:01:00
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X-Era AI has released and open-sourced E0.5, a native 4D world action model that unifies future physical geometric state prediction with action generation to enhance robotic spatial understanding. In real-world tests on AgileX Piper dual-arm and Zerith H1 humanoid robots, E0.5 achieved average success rates of 85.0% and 88.3%, surpassing the baseline pi-0.5 by 13.3 and 26.7 percentage points respectively. The model addresses complex tasks like manipulating deformable objects, advancing robotics from visual perception to physical reasoning and autonomous execution.

LATEST/X-Era AI has released and open-sourced E0.5, a native 4D world action model that unifies future physical geometric state prediction with action generation to enhance robotic spatial understanding. In real-world tests on AgileX Piper dual-arm and Zerith H1 humanoid robots, E0.5 achieved average success rates of 85.0% and 88.3%, surpassing the baseline pi-0.5 by 13.3 and 26.7 percentage points respectively. The model addresses complex tasks like manipulating deformable objects, advancing robotics from visual perception to physical reasoning and autonomous execution.

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  1. 机器之心 (微信公众号)T2·85 pts

    X-Era AI Open-Sources E0.5 World Action Model, Outperforming pi-0.5 on Real Robots

    • E0.5 utilizes a native 4D spatiotemporal representation architecture, unifying future physical state prediction with action generation.
    • It significantly outperforms the mainstream baseline pi-0.5 in overall success rates on real-world dual-arm and humanoid robot experiments.
    • The code is open-sourced, supporting high-difficulty spatial reasoning tasks involving rigid-flexible coupling, such as tangled cable manipulation.
X-Era AI Open-Sources E0.5 World Action Model, Outperforming pi-0.5 on Real Robots | Today for AI