RoboMIND Dataset Exceeds 50 Million Downloads, Leading in Embodied Intelligence
5000万次！亦庄RoboMIND开源数据集领跑全球具身智能领域
The RoboMIND dataset, developed by Beijing Humanoid Robotics Innovation Center, has surpassed 50 million global downloads, becoming the most downloaded and fastest-growing open dataset in embodied intelligence. It supports dual-arm coordination, mobile manipulation, dexterous hands, and high-fidelity tactile perception, with over 400,000 motion trajectories and 700+ real-world tasks. The dataset's rapid adoption reflects its importance in advancing robot skills and lowering deployment barriers.
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
近日，北京人形机器人创新中心（以下简称“北京人形”）开源数据集RoboMIND的全球累计下载量突破5000万次，成为具身智能领域全球下载量最高、增速最快的开源数据集。
Open source S2download_count
10,000,000
View original evidence
孙艳平/摄（资料图）在数据集下载量与下载增速方面，RoboMIND也都领跑全球：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 S9
- 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.
5000万次！亦庄RoboMIND开源数据集领跑全球具身智能领域
Open source S1
近日，北京人形机器人创新中心（以下简称“北京人形”）开源数据集RoboMIND的全球累计下载量突破5000万次，成为具身智能领域全球下载量最高、增速最快的开源数据集。
Open source S2
孙艳平/摄（资料图）在数据集下载量与下载增速方面，RoboMIND也都领跑全球：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 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