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”
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 S16data_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 S21data_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