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QiYuan PrimeSim World Model Release

1 reports1 reporting sourcesUpdated 1 days ago

Overview

Report summary

PrimeSim, a world model simulator developed by Qihuan's Embodied Research Center, outperforms existing simulators on two major benchmarks, EWMBench and WorldSimProbe. It leverages a two-stage training approach to transform a pre-trained video generation model into an interactive simulator capable of long-term consistent simulation. The model demonstrates strong cross-robotic-body transfer capabilities and achieves high performance in simulation fidelity and inference speed.

From Machine Heart — Robotics on WeChat

Event evidence and corrections

1 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.

Environment: simulation
Supporting report

“今日,启元具身研究中心正式发布 PrimeSim,一款面向机器人操纵任务的世界模型仿真器。”

Exact source · revision 1

jiqizhixin

Reported quantity · training_hours: 30110 hours · Basis not reported
Supporting report

“第一阶段:中训练|从视频生成模型到机器人世界模型 模型训练基于 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,混合真实采集数据与传统仿真数据;其中人形机器人样本占比 54.8%,真实世界数据占比 84%。”

Exact source · revision 1

jiqizhixin

Reported quantity · robot_platforms: 22 other · Basis not reported
Supporting report

“第一阶段:中训练|从视频生成模型到机器人世界模型 模型训练基于 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,混合真实采集数据与传统仿真数据;其中人形机器人样本占比 54.8%,真实世界数据占比 84%。”

Exact source · revision 1

jiqizhixin

Reported quantity · fps_with_cd: 10.04 other · Basis not reported
Supporting report

“在 RoboTwin 2.0 留出集、单张 A100 环境下,50 步去噪的因果自回归扩散基线速度仅 1.12 FPS,PSNR 26.15;CD 将去噪步数压缩至 4 步,速度提升至 10.04 FPS,PSNR 回落至 24.40;叠加 DMD 后,保持 4 步去噪,PSNR 回升至 24.87,LPIPS 由 0.193 优化至 0.176,相较 50 步教师模型整体提速约 9 倍。”

Exact source · revision 1

jiqizhixin

Reported quantity · psnr_with_cd: 24.4 other · Basis not reported
Supporting report

“在 RoboTwin 2.0 留出集、单张 A100 环境下,50 步去噪的因果自回归扩散基线速度仅 1.12 FPS,PSNR 26.15;CD 将去噪步数压缩至 4 步,速度提升至 10.04 FPS,PSNR 回落至 24.40;叠加 DMD 后,保持 4 步去噪,PSNR 回升至 24.87,LPIPS 由 0.193 优化至 0.176,相较 50 步教师模型整体提速约 9 倍。”

Exact source · revision 1

jiqizhixin

Reported quantity · psnr_with_dmd: 24.87 other · Basis not reported
Supporting report

“在 RoboTwin 2.0 留出集、单张 A100 环境下,50 步去噪的因果自回归扩散基线速度仅 1.12 FPS,PSNR 26.15;CD 将去噪步数压缩至 4 步,速度提升至 10.04 FPS,PSNR 回落至 24.40;叠加 DMD 后,保持 4 步去噪,PSNR 回升至 24.87,LPIPS 由 0.193 优化至 0.176,相较 50 步教师模型整体提速约 9 倍。”

Exact source · revision 1

jiqizhixin

Reported quantity · lpips_with_dmd: 0.176 other · Basis not reported
Supporting report

“在 RoboTwin 2.0 留出集、单张 A100 环境下,50 步去噪的因果自回归扩散基线速度仅 1.12 FPS,PSNR 26.15;CD 将去噪步数压缩至 4 步,速度提升至 10.04 FPS,PSNR 回落至 24.40;叠加 DMD 后,保持 4 步去噪,PSNR 回升至 24.87,LPIPS 由 0.193 优化至 0.176,相较 50 步教师模型整体提速约 9 倍。”

Exact source · revision 1

jiqizhixin

Report timeline

Follow attributed reports and material updates.

10/30
  1. Machine Heart — Robotics on WeChatSignal
    PrimeSim: A World Model Simulator for Robotics That Outperforms Existing Benchmarks

    PrimeSim, a world model simulator developed by Qihuan's Embodied Research Center, outperforms existing simulators on two major benchmarks, EWMBench and WorldSimProbe. It leverages a two-stage training approach to transform a pre-trained video generation model into an interactive simulator capable of long-term consistent simulation. The model demonstrates strong cross-robotic-body transfer capabilities and achieves high performance in simulation fidelity and inference speed.

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