Zero-HLM Framework Release
Overview
The Zero-HLM framework, developed by Dianyi Yang, Mengya Liu, and Siyuan Huang's team at Deta Intelligence, combines real-world phone-captured data with physics-based simulation to generate large-scale training data for humanoid robots. Using only 45 simulated teleoperation demonstrations, the team generated 4,800 physically validated training samples, achieving a 1.8x speedup in data collection. When deployed on the Yuji G1 humanoid robot, the pure simulation-trained policy achieved an average success rate of 66.7% across three long-horizon tasks, with 100% success in object-target combination tests.
From Chinese robotics — Hardware and sensing
Event evidence and corrections
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Reported quantity · data_collection_speed_increase: 1.8 other · Basis not reported · Differing source assertions
“结果显示， 仅用45条仿真遥操作示范数据 ，该团队就通过Zero-HLM生成了 4800条 经过物理验证的训练数据，数据采集 速度提升1.8倍 。”
Exact source · revision 2Source owner not reported
Reported quantity · Reported success rate: 66.7 percent · Basis not reported
“并且基于 GR00T N1.7 模型训练的纯仿真策略，在三项长时序任务中的 平均 成功率达到66.7% 。”
Exact source · revision 2Source owner not reported
Reported quantity · data_collection_speed_increase: 1.8 other · Basis not reported · Differing source assertions
“与真实世界遥操作采集相比，整体数据采集速度平均提高1.8倍。”
Exact source · revision 2Source owner not reported
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- Chinese robotics — Hardware and sensingSignalZero-HLM Framework Enables Efficient Sim-to-Real Training for Humanoid Robots
The Zero-HLM framework, developed by Dianyi Yang, Mengya Liu, and Siyuan Huang's team at Deta Intelligence, combines real-world phone-captured data with physics-based simulation to generate large-scale training data for humanoid robots. Using only 45 simulated teleoperation demonstrations, the team generated 4,800 physically validated training samples, achieving a 1.8x speedup in data collection. When deployed on the Yuji G1 humanoid robot, the pure simulation-trained policy achieved an average success rate of 66.7% across three long-horizon tasks, with 100% success in object-target combination tests.
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