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Chinese robotics — Research news discovery·· 6 days agoSignalEditorial score75

QiYuan Embodied Research Center Releases PrimeSim, a World Model Simulator That Tops Two Robot Benchmarks

启元机器人发布世界模型仿真器PrimeSim,登顶两项机器人权威基准

Summary

QiYuan Embodied Research Center has released PrimeSim, a world model simulator based on pre-trained video generation models. The system supports interactive reasoning for robot manipulation tasks and will have its weights, inference code, and training code open-sourced on November 6. In benchmark evaluations, PrimeSim achieved top rankings on EWMBench and WorldSimProbe, demonstrating strong alignment with traditional simulators and effective transfer of strategy gains.

Source: Chinese robotics — Research news discovery · Read original article ↗

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What the source reports

Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.

Reported numbers

  • training_hours

    30,110 hours

    View original evidence
    中训练阶段,模型基于30110小时精选机器人演示数据,覆盖人形、双臂、单臂、手持UMI设备等22种异构机器人平台,其中人形机器人样本占比 54.8%、真实世界数据占比 84%,并围绕统一动作表征、帧对齐双路径条件注入、视角感知交错注意力三项核心设计实现跨本体兼容与控制信号强绑定。
    Open source S12
  • EWMBench_score

    6.09

    View original evidence
    在EWMBench基准上,该仿真器以6.09的综合得分位列榜首,分项指标 HSD(1.000)、nDTW(1.000)、BLEU(0.570)、CLIP(0.954)、Logics(1.000)均取得第一名。
    Open source S9
  • HSD_score

    1

    View original evidence
    在EWMBench基准上,该仿真器以6.09的综合得分位列榜首,分项指标 HSD(1.000)、nDTW(1.000)、BLEU(0.570)、CLIP(0.954)、Logics(1.000)均取得第一名。
    Open source S9
  • nDTW_score

    1

    View original evidence
    在EWMBench基准上,该仿真器以6.09的综合得分位列榜首,分项指标 HSD(1.000)、nDTW(1.000)、BLEU(0.570)、CLIP(0.954)、Logics(1.000)均取得第一名。
    Open source S9
  • BLEU_score

    0.57

    View original evidence
    在EWMBench基准上,该仿真器以6.09的综合得分位列榜首,分项指标 HSD(1.000)、nDTW(1.000)、BLEU(0.570)、CLIP(0.954)、Logics(1.000)均取得第一名。
    Open source S9
Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

中训练阶段,模型基于30110小时精选机器人演示数据,覆盖人形、双臂、单臂、手持UMI设备等22种异构机器人平台,其中人形机器人样本占比 54.8%、真实世界数据占比 84%,并围绕统一动作表征、帧对齐双路径条件注入、视角感知交错注意力三项核心设计实现跨本体兼容与控制信号强绑定。

Open source S12

在EWMBench基准上,该仿真器以6.09的综合得分位列榜首,分项指标 HSD(1.000)、nDTW(1.000)、BLEU(0.570)、CLIP(0.954)、Logics(1.000)均取得第一名。

Open source S9

相关权重、推理代码与训练代码将于11月6日开源。

Open source S4

Source:Chinese robotics — Research news discovery · finance.sina.com.cn

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