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Chinese robotics — Dataset and collection discovery·· 10 days agoSignalEditorial score85

A Practical Guide to Data Collection and Utilization in Embodied Intelligence

“特训学堂”为具身智能加注“数据燃料”

Summary

The article outlines the operations of a humanoid robot training center that generates high-quality data for embodied intelligence applications. It details the data collection process, the role of open-source datasets like RoboMIND, and the importance of standardized, high-value data in driving the development of autonomous robotic systems.

Source: Chinese robotics — Dataset and collection 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

  • training_hours

    30,000 hours

    View original evidence
    目前,基地已对外交付近3万小时高质量数据,并打通了从数据采集、清洗、质检、标注到模型训练、真机评测、模型部署、数据回流的完整闭环链路。
    Open source S16
  • data_download

    20,000,000

    View original evidence
    2025年12月,北京人形面向全球开发者开源开放具身智能数据集RoboMIND,在一个月内全球下载量实现翻倍增长,目前全球下载量已突破2000万次。
    Open source S21
  • data_hours

    30,000 hours

    View original evidence
    目前,基地已对外交付近3万小时高质量数据,并打通了从数据采集、清洗、质检、标注到模型训练、真机评测、模型部署、数据回流的完整闭环链路。
    Open source S16
  • dataset: not_reported

What remains unknown

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

Source excerpts and review record

Automatically extracted; no manual editorial approval recorded.

目前,基地已对外交付近3万小时高质量数据,并打通了从数据采集、清洗、质检、标注到模型训练、真机评测、模型部署、数据回流的完整闭环链路。

Open source S16

2025年12月,北京人形面向全球开发者开源开放具身智能数据集RoboMIND,在一个月内全球下载量实现翻倍增长,目前全球下载量已突破2000万次。

Open source S21

”北京人形数据部产品及项目负责人史明威表示,一万小时高质量数据,可能比一百万小时重复数据更重要。

Open source S18

中国信息通信研究院近期发布的《具身智能训练场研究报告(2026年)》显示,全球可用的高质量真实数据仅为数十万至百万小时级,而机器人 要迎来“ChatGPT时刻”,则需要千万小时级的真实数据,供需之间存在量级差距。

Open source S24

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 — Dataset and collection discovery · finance.sina.com.cn

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