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Chinese robotics — Research news discovery·· 4 days agoSignalEditorial score75

Hong Kong Physical AI Stocks Rise as Apple Unveils HALO Humanoid Control System

港股物理AI概念走强,苹果披露人形机器人自主控制系统HALO丨港股异动

Summary

On November 9, Hong Kong stocks linked to physical AI gained ground, with Kailuishi Technology up 11.58%, Hesai-W rising 6.58%, Xunce increasing 3.64%, and Qunhe Technology climbing 2.91%. On November 4, Apple's research team submitted a preprint on arXiv titled 'Perceptive Humanoid Motion from Simulation', disclosing the HALO autonomous control system for humanoids and releasing open-source code for data generation, model training, and deployment across action generation, tracking, task orchestration, simulation, and real robot operation. The study reports an average success rate of 91% across 360 single-task tests in six unscanned environments and 70% for three combined tasks in one environment.

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.

Control
Reported autonomousOpen source S4

Reported numbers

  • Reported success rate

    91%

    Unique elapsed hours

    View original evidence
    据论文披露,研究团队在6个未预先扫描或建图的真实环境中开展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种组合任务分别开展10次测试,平均成功率为70%。
    Open source S5
  • Reported success rate

    70%

    Unique elapsed hours

    View original evidence
    据论文披露,研究团队在6个未预先扫描或建图的真实环境中开展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种组合任务分别开展10次测试,平均成功率为70%。
    Open source S5
  • test_count

    360

    Reported trials

    View original evidence
    据论文披露,研究团队在6个未预先扫描或建图的真实环境中开展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种组合任务分别开展10次测试,平均成功率为70%。
    Open source S5
  • test_count

    10

    Reported trials

    View original evidence
    据论文披露,研究团队在6个未预先扫描或建图的真实环境中开展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种组合任务分别开展10次测试,平均成功率为70%。
    Open source S5
  • robot_count

    21,200 robots

    View original evidence
    数据是当前最核心瓶颈和机会,据中国信通院测算,机器人迎来"ChatGPT时刻"约需2.12万台机器人连续工作一年、产出千万小时级有效数据,而当前全球高质量真实数据仅数十万至百万小时级,真机数据缺口显著。
    Open source S9
  • Reported success rate

    95%

    Reported trials

    View original evidence
    华源证券表示,Astra初步展现通用大模型潜力,第三方测试显示其在Robocurve简单抓放任务中成功率达到95%;Astra与专用VLA模型π0.5协同后,复杂双臂操作成功率由26%提升至48%。
    Open source S10
  • Reported success rate

    48%

    Reported trials

    View original evidence
    华源证券表示,Astra初步展现通用大模型潜力,第三方测试显示其在Robocurve简单抓放任务中成功率达到95%;Astra与专用VLA模型π0.5协同后,复杂双臂操作成功率由26%提升至48%。
    Open source S10
  • paper: not_reported
  • code: not_reported
  • weights: not_reported
  • dataset: not_reported

What remains unknown

Not established in the collected evidence: Environment, 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,据澎湃新闻报道,当地时间11月4日, 苹果 研究团队在预印本平台arXiv提交论文《Perceptive Humanoid Motion from Simulation》,披露了人形机器人自主控制系统 HALO ,并公开了数据生成、模型训练和部署代码,涵盖动作生成、动作跟踪、任务编排以及仿真和真实机器人运行等环节。

Open source S4

据论文披露,研究团队在6个未预先扫描或建图的真实环境中开展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种组合任务分别开展10次测试,平均成功率为70%。

Open source S5

数据是当前最核心瓶颈和机会,据中国信通院测算,机器人迎来"ChatGPT时刻"约需2.12万台机器人连续工作一年、产出千万小时级有效数据,而当前全球高质量真实数据仅数十万至百万小时级,真机数据缺口显著。

Open source S9

华源证券表示,Astra初步展现通用大模型潜力,第三方测试显示其在Robocurve简单抓放任务中成功率达到95%;Astra与专用VLA模型π0.5协同后,复杂双臂操作成功率由26%提升至48%。

Open source S10

Source:Chinese robotics — Research news discovery · news.qq.com

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