RoboMIND Dataset Breaks 50 Million Downloads, Leading Global Adoption in Embodied Intelligence
下载量超5000万次！京产具身智能开源数据集下载量领跑全球
Beijing Humanoid Robotics Innovation Center's RoboMIND dataset has surpassed 50 million global downloads, demonstrating strong industry adoption. The dataset supports dual-arm coordination, dexterous manipulation, and high-fidelity tactile perception, offering over 400,000 motion trajectories and 700+ real-world tasks. Its rapid growth reflects increasing demand for high-quality data in embodied AI research and development.
The RoboMIND dataset represents a significant contribution to embodied AI by providing a comprehensive, high-quality resource for training robots in complex manipulation tasks. Its rapid adoption highlights growing industry interest in open-source data for real-world applications.
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
download count
50,000,000
download count
50,000,000
View original evidence
10月26日，北京人形机器人创新中心（以下简称北京人形）发布消息，其开源数据集RoboMIND全球累计下载量已正式突破5000万次，其下载量和下载增速都在全球具身智能领域保持领跑。
Open source S2download count
10,000,000
download count
50,000,000
- 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.
下载量超5000万次！京产具身智能开源数据集下载量领跑全球
Open source S1
10月26日，北京人形机器人创新中心（以下简称北京人形）发布消息，其开源数据集RoboMIND全球累计下载量已正式突破5000万次，其下载量和下载增速都在全球具身智能领域保持领跑。
Open source S2
自2025年12月开源以来，数据集下载量与下载增速双双领跑全球。
Open source S6
第一个1000万次用时223天，第二个1000万次用时39天，到了第五个1000万次，仅用时18天。
Open source S7
5000万次下载如何在不到一年内实现？
Open source S8
下载量增速如何越来越快？
Open source S9
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 · feng.ifeng.com