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Chinese robotics — Hardware and sensing·· 2 days agoSignalEditorial score75

Apple Discloses HALO Autonomous Control System for Humanoid Robots

苹果披露机器人“大脑”研究进展:用的中国大模型

Summary

Apple's research team submitted a paper detailing the HALO autonomous control system, validated on Unitree G1 robots to transfer simulation skills to real-world environments. The team released code for data generation, training, and deployment, demonstrating actions like pushing boxes and navigating obstacles. In six unscanned environments, 360 single-task tests achieved an average success rate of 91%; in one environment, three combined task sequences tested 10 times each averaged a 70% success rate.

Source: Chinese robotics — Hardware and sensing · 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

    91%

    Reported trials

    View original evidence
    在6个未预先扫描或建图的真实环境中,360次单项任务测试平均成功率为91%;另在一个真实环境中,对3种组合任务分别测试10次,平均成功率为70%,其中“俯身通过障碍—走向目标—推箱子”组合成功率为50%。
    Open source S4
  • Reported success rate

    70%

    Reported trials

    View original evidence
    在6个未预先扫描或建图的真实环境中,360次单项任务测试平均成功率为91%;另在一个真实环境中,对3种组合任务分别测试10次,平均成功率为70%,其中“俯身通过障碍—走向目标—推箱子”组合成功率为50%。
    Open source S4
  • Reported success rate

    50%

    Reported trials

    View original evidence
    在6个未预先扫描或建图的真实环境中,360次单项任务测试平均成功率为91%;另在一个真实环境中,对3种组合任务分别测试10次,平均成功率为70%,其中“俯身通过障碍—走向目标—推箱子”组合成功率为50%。
    Open source S4
  • test_count

    360

    Reported trials

    View original evidence
    在6个未预先扫描或建图的真实环境中,360次单项任务测试平均成功率为91%;另在一个真实环境中,对3种组合任务分别测试10次,平均成功率为70%,其中“俯身通过障碍—走向目标—推箱子”组合成功率为50%。
    Open source S4
  • test_count

    10

    Reported trials

    View original evidence
    在6个未预先扫描或建图的真实环境中,360次单项任务测试平均成功率为91%;另在一个真实环境中,对3种组合任务分别测试10次,平均成功率为70%,其中“俯身通过障碍—走向目标—推箱子”组合成功率为50%。
    Open source S4
  • environment_count

    6

    View original evidence
    在6个未预先扫描或建图的真实环境中,360次单项任务测试平均成功率为91%;另在一个真实环境中,对3种组合任务分别测试10次,平均成功率为70%,其中“俯身通过障碍—走向目标—推箱子”组合成功率为50%。
    Open source S4
  • task_combination_count

    3

    View original evidence
    在6个未预先扫描或建图的真实环境中,360次单项任务测试平均成功率为91%;另在一个真实环境中,对3种组合任务分别测试10次,平均成功率为70%,其中“俯身通过障碍—走向目标—推箱子”组合成功率为50%。
    Open source S4
  • paper: not_reported
  • code: Reported pending Open source S3
  • dataset: not_reported
  • weights: not_reported
  • code: 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.

在6个未预先扫描或建图的真实环境中,360次单项任务测试平均成功率为91%;另在一个真实环境中,对3种组合任务分别测试10次,平均成功率为70%,其中“俯身通过障碍—走向目标—推箱子”组合成功率为50%。

Open source S4

苹果披露机器人“大脑”研究进展:用的中国大模型 近日,苹果研究团队提交论文,披露人形机器人自主控制系统HALO,并部署在 宇树科技 G1人形机器人上验证,让机器人将仿真中学到的动作用于陌生现实环境。

Open source S2

团队公开了数据生成、模型训练和部署代码,展示推箱子、跟随人、坐椅子及穿越障碍等动作。

Open source S3

Source:Chinese robotics — Hardware and sensing · taibo.cn

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