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Chinese robotics — Research news discovery·· 1 days agoSignalEditorial score75

Qingyan Technology Joins Consortium to Release ReAct-Manip Benchmark for Robot 'Learning by Doing'

机器人 “会做” 之后,下一步是 “会学”:清雁科技联合多家机构发布 ReAct-Manip 评测集

Summary

On October 31, 2026, at the main forum of the 2026 AI+ Conference, Qingyan Technology (Beijing) Co., Ltd. and a consortium including The Chinese University of Hong Kong (Shenzhen), Beijing Institute of Technology, Shenzhen Hetao College, AIRS, Beijing Artificial Intelligence Association, and Jiuyuan Intelligent Computing System Ecosystem Alliance released the ReAct-Manip benchmark. This industry-first evaluation set shifts focus from single-task completion to continuous learning within tasks, assessing whether robots can improve performance through interaction feedback when facing unseen physical instances.

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.

Reported numbers

  • success attempts

    177

    View original evidence
    初步结果:GPT-6展现任务完成能力,持续适应仍有提升空间 在目前公开的测试结果中,GPT-6 Astra + primitive Harness 在 ReAct-Manip 练习阶段480次尝试中成功 177次,成功率为 36.88%;考试阶段240次尝试中成功 130次,成功率提升至54.17%,考试综合得分为 52.62。
    Open source S19
  • success attempts

    130

    View original evidence
    初步结果:GPT-6展现任务完成能力,持续适应仍有提升空间 在目前公开的测试结果中,GPT-6 Astra + primitive Harness 在 ReAct-Manip 练习阶段480次尝试中成功 177次,成功率为 36.88%;考试阶段240次尝试中成功 130次,成功率提升至54.17%,考试综合得分为 52.62。
    Open source S19
  • total attempts

    480

    View original evidence
    初步结果:GPT-6展现任务完成能力,持续适应仍有提升空间 在目前公开的测试结果中,GPT-6 Astra + primitive Harness 在 ReAct-Manip 练习阶段480次尝试中成功 177次,成功率为 36.88%;考试阶段240次尝试中成功 130次,成功率提升至54.17%,考试综合得分为 52.62。
    Open source S19
  • total attempts

    240

    View original evidence
    初步结果:GPT-6展现任务完成能力,持续适应仍有提升空间 在目前公开的测试结果中,GPT-6 Astra + primitive Harness 在 ReAct-Manip 练习阶段480次尝试中成功 177次,成功率为 36.88%;考试阶段240次尝试中成功 130次,成功率提升至54.17%,考试综合得分为 52.62。
    Open source S19
  • Reported success rate

    36.88%

    View original evidence
    初步结果:GPT-6展现任务完成能力,持续适应仍有提升空间 在目前公开的测试结果中,GPT-6 Astra + primitive Harness 在 ReAct-Manip 练习阶段480次尝试中成功 177次,成功率为 36.88%;考试阶段240次尝试中成功 130次,成功率提升至54.17%,考试综合得分为 52.62。
    Open source S19
  • Reported success rate

    54.17%

    View original evidence
    初步结果:GPT-6展现任务完成能力,持续适应仍有提升空间 在目前公开的测试结果中,GPT-6 Astra + primitive Harness 在 ReAct-Manip 练习阶段480次尝试中成功 177次,成功率为 36.88%;考试阶段240次尝试中成功 130次,成功率提升至54.17%,考试综合得分为 52.62。
    Open source S19
  • composite score

    52.62

    View original evidence
    初步结果:GPT-6展现任务完成能力,持续适应仍有提升空间 在目前公开的测试结果中,GPT-6 Astra + primitive Harness 在 ReAct-Manip 练习阶段480次尝试中成功 177次,成功率为 36.88%;考试阶段240次尝试中成功 130次,成功率提升至54.17%,考试综合得分为 52.62。
    Open source S19
  • rounds per task

    15

    View original evidence
    每个用例包含15个回合测试,在15个回合中,前 10 次为练习,后 5 次为考试。
    Open source S14
  • paper: not_reported

What remains unknown

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

Dataset licensing and commercial-use rights are not established here.

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.

初步结果:GPT-6展现任务完成能力,持续适应仍有提升空间 在目前公开的测试结果中,GPT-6 Astra + primitive Harness 在 ReAct-Manip 练习阶段480次尝试中成功 177次,成功率为 36.88%;考试阶段240次尝试中成功 130次,成功率提升至54.17%,考试综合得分为 52.62。

Open source S19

每个用例包含15个回合测试,在15个回合中,前 10 次为练习,后 5 次为考试。

Open source S14

Implications for data suppliers

RoboSignal interpretation and collection questions, not statements of buyer demand.

  • Confirm the required data type and collection setting with the buyer; this source does not establish a complete collection specification.
  • Compare the reported units and scope before using these quantities in a budget. Recording hours, sensor-hours and trajectories are different measures.
  • Validate demand and acceptance criteria with a buyer before scaling. Publication, popularity and a research result do not establish a purchase commitment.

Source:Chinese robotics — Research news discovery · fashion.ce.cn

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