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Robotics — Chinese web discovery·· 1 days agoSignalEditorial score75

Tsinghua University, Wuwen Xinqiong, and Agibot Demonstrate Collective Experience Learning Paradigm on 96 Humanoid Robots

机器人互相“取经学习”!产学研联合提出具身智能规模化新方案

Summary

Tsinghua University, in collaboration with Wuwen Xinqiong and Agibot, demonstrated a new paradigm called Collective Experience Learning (CEL) for embodied intelligence. Validated across 96 humanoid robots, CEL allows machines to share experiences rather than relying solely on human instruction. In real-world tests involving five tasks such as flower arranging and phone packaging, the robot group achieved an overall success rate of 97.5%, exceeding the average performance of six human operators.

Source: Robotics — Chinese web 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

  • Reported success rate

    97.5%

    Reported trials

    View original evidence
    经过群体学习训练,机器人群体整体任务成功率达到97.5%,五项任务的表现全部超过6名人类操作员的平均水平。
    Open source S9
  • Reported success rate

    98.3%

    Reported trials

    View original evidence
    其中流程复杂的手机包装任务,成功率从79.2%提升至98.3%。
    Open source S10
  • paper: not_reported

What remains unknown

Not established in the collected evidence: Environment, Control, Data origin.

Reported performance applies to the described task. It does not establish general autonomy or deployment readiness.

Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

近日,清华大学联合无问芯穹、智元推出群体经验学习(CEL)新范式,并且在96台真实人形 机器人 群体上完成验证。

Open source S2

经过群体学习训练,机器人群体整体任务成功率达到97.5%,五项任务的表现全部超过6名人类操作员的平均水平。

Open source S9

其中流程复杂的手机包装任务,成功率从79.2%提升至98.3%。

Open source S10

系统层面搭建容错异步训练系统FATS,即便出现网络波动、部分机器人硬件故障,近百台机器仍可持续协同训练,硬件故障带来的时间损耗仅占总运行时长1.3%。

Open source S13

实验还证实规模化效应:参与训练机器人由16台扩大到96台,整体能力随之进一步提升。

Open source S11

Source:Robotics — Chinese web discovery · finance.sina.com.cn

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