On-site Investigation of Beijing Humanoid Robot Innovation Center Data Base, Delivering Over Tens of Thousands of Hours of High-Quality Real-World Captured Data to External Parties

During the critical window when artificial intelligence transitions from “perceptual intelligence” to “embodied intelligence,” high-quality data has become a strategic resource driving the development of humanoid robot industry. Recently, Securities Times reporters visited the first phase of the Embodied Intelligence Robot Data and Training Base at Beijing Humanoid Robot Innovation Center.

The data base covers nearly 5,000 square meters, encompassing over 30 typical scenarios in home, retail, office, industrial, medical, and health care fields. It features approximately 200 square meters of professional optical motion capture space. The data base houses more than 120 of the most diverse robot configurations nationwide, equipped with head-mounted, claw-type data collection devices, motion capture suits, gloves, remote control cabins, and other professional equipment. It supports full-stack data collection capabilities such as real machine remote operation, open environment data capture, and motion capture. Additionally, it has established standardized project management systems and formulated norms for data collection, annotation, and quality inspection, ensuring full-process quality control.

A relevant person in charge at Beijing Humanoid Robot Innovation Center told Securities Times that the first phase of the base was completed in just six months and has become one of the most comprehensive scene coverage, most diverse robot configurations, and highest data production and quality professional data collection platforms in China.

It is reported that the Robomind embodied intelligence dataset, released and open-sourced by Beijing Humanoid Robot Innovation Center, has been downloaded over 2 million times. The high-quality real data delivered externally from the data base has exceeded tens of thousands of hours, with both data download volume and delivery capacity ranking first in the industry.

The person in charge stated that the data base serves many leading embodied intelligence companies and research institutions, with application scenarios covering logistics, retail, office, and home fields. As the universal robot platform “Embodied Tiangong” is applied across various scenarios, the base is rapidly advancing toward the goal of “the world’s first million hours of high-quality data,” laying a solid data foundation for humanoid robots to move from laboratories into thousands of industries.

For humanoid robots to truly enter thousands of industries, what is needed is not just hundreds or thousands of “refined” data points, but massive, diverse, high-quality raw data. Real machine data is essential for robot intelligence to transition from virtual to real environments. It can accurately reproduce tactile feedback, haptic information, environmental interference, and other details that are difficult to simulate. These key pieces of information, known as “physical intuition,” can only be trained through multimodal data collected from real machines. More importantly, the complete task loop in real environments—such as a simple “pick—operate—place” trajectory—contains a wealth of implicit human decision-making in complex environments. The data density of such real-world task data far exceeds that of other data types.

However, from a collection perspective, gathering real machine data still faces many challenges, including scene fragmentation, communication barriers due to different robot “dialects,” and inconsistent data quality.

Based on insights into industry pain points, Beijing Humanoid Robot Innovation Center has proactively planned a specialized data collection base. It consolidates scattered scenarios, unifies diverse robot scheduling, and standardizes the entire process of data collection, annotation, and quality inspection.

Previously, the center led the development of China’s first industry standard for embodied intelligence data collection, the “Artificial Intelligence Embodied Intelligence Data Collection Specification.” This standardizes collection procedures and professional practices. The data base has delivered over tens of thousands of hours of high-quality data to many leading companies and research institutions, maintaining an overall data pass rate of over 95%.

It is reported that every hour of data here undergoes strict quality control to ensure a “factory pass rate” of over 95%. Different robot configurations can be collected in parallel, enabling large-scale production of high-quality data, so algorithm teams no longer need to worry about data shortages.