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Chinese robotics — Hardware and sensing·· 1 days agoSignalEditorial score85

Beijing Humanoid Robot Innovation Center Open Sources RoboMIND Dataset with Over 50 Million Global Downloads

北京人形机器人创新中心开源数据集RoboMIND全球下载量突破5000万次

Summary

The Beijing Humanoid Robot Innovation Center announced that its open-source dataset RoboMIND has exceeded 50 million global downloads. Since its release in December 2025, the dataset has become one of the most downloaded in embodied intelligence, with download speeds increasing significantly over time. RoboMIND is the first dataset to support dual-arm coordination, mobile operation, dexterous hands, and high-fidelity tactile perception, and includes over 400,000 dual-arm operation trajectories covering more than 700 real-world tasks.

Source: Chinese robotics — Hardware and sensing · Read original article ↗

Article text · Machine translation into English

CGBN News Beijing, October 27th (Reporter Pang Ting) On October 26th, reporters learned from the Beijing Humanoid Robot Innovation Center that its open-source dataset RoboMIND has exceeded 50,000,000 global downloads. Since its open-source release in December 2025, the dataset has become one of the most downloaded open-source datasets in the field of embodied intelligence. Among these, the last 10,000,000 downloads were completed in just 18 days.

In terms of download growth rate, RoboMIND's first 10,000,000 downloads took 223 days, the second 10,000,000 downloads took 39 days, and the fifth 10,000,000 downloads took only 18 days, with download growth rate continuously accelerating.

Data collectors are training robots to collect data (Photo by CGBN Reporter Pang Ting)

According to the relevant responsible person from the Beijing Humanoid Robot Innovation Center, RoboMIND is the world's first open-source dataset that supports dual-arm coordination, mobile operation, dexterous hands, and high-fidelity tactile perception simultaneously. Developers can train robots to complete the full action chain from grasping, carrying to fine operations within the same dataset. This dataset is also the largest unified collection of multi-body robot operation open dataset globally, with more than 400,000 dual-arm operation trajectories released, covering more than 700 practical operation tasks.

The growth in downloads is related to the expansion of the embodied intelligence industry scale and the increasing demand for high-quality data from developers. The quality of the dataset directly affects the effectiveness of embodied intelligence applications. The more users, the more feedback, and the dataset quality continues to be optimized.

Data collectors are collecting data in a home scenario (Photo by CGBN Reporter Pang Ting)

In terms of data supply, the Beijing Humanoid Data Base covers nearly 6,000 square meters, with over 30 typical scenarios in fields such as home, supermarkets, industry, and medicine. It is equipped with 40 different configurations of robots, over 180 mainstream robot devices, and over 100 non-body data collection devices. The base uses a fully self-researched data closed-loop toolchain to connect the entire process from data collection, cleaning, quality inspection, annotation, model training, real machine evaluation, deployment, and feedback. The annual data production capacity reaches 180,000 hours, with nearly 30,000 hours of high-quality data already delivered. The Beijing Humanoid Robot Innovation Center has also led the development of the country's first industry standard for embodied intelligence datasets.

In addition to open-source datasets, the Beijing Humanoid Robotics Innovation Center has also launched the “Huishi Kaiwu” application store. Users do not need to start from scratch; they can download skills and deploy them to robots with a single click. Developers can upload videos to automatically generate skills, or upload their self-developed skills for sharing.

A relevant official from the Beijing Humanoid Robot Innovation Center stated that looking to the future, the center is willing to collaborate with more partners to build, share, and jointly research data, focusing on areas such as industry data collaboration, scenario data co-creation, and joint model training, to promote the development of embodied intelligence. Return to the previous page for more information

What the source reports

Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.

Reported numbers

  • download count

    50,000,000

    View original evidence
    北京人形机器人创新中心开源数据集RoboMIND全球下载量突破5000万次
    Open source S1
  • download count

    50,000,000

    View original evidence
    央广网北京10月27日消息(记者 庞婷)10月26日,记者从北京人形机器人创新中心获悉,其开源数据集RoboMIND全球累计下载量已突破5000万次。
    Open source S2
  • download count

    10,000,000

    View original evidence
    其中,最近1000万次下载仅用时18天。
    Open source S4
  • download count

    10,000,000

    View original evidence
    从下载增速看,RoboMIND第一个1000万次用时223天,第二个1000万次用时39天,第五个1000万次仅用时18天,下载增速持续加快。
    Open source S5
  • 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.

北京人形机器人创新中心开源数据集RoboMIND全球下载量突破5000万次

Open source S1

央广网北京10月27日消息(记者 庞婷)10月26日,记者从北京人形机器人创新中心获悉,其开源数据集RoboMIND全球累计下载量已突破5000万次。

Open source S2

该数据集自2025年12月开源以来,成为具身智能领域下载量最高的开源数据集之一。

Open source S3

其中,最近1000万次下载仅用时18天。

Open source S4

从下载增速看,RoboMIND第一个1000万次用时223天,第二个1000万次用时39天,第五个1000万次仅用时18天,下载增速持续加快。

Open source S5

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 — Hardware and sensing · sohu.com

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