On the evening of September 3rd, the Embodied Intelligence Data and Training Base of the Beijing Humanoid Robot Innovation Center officially opened its doors. During a group interview, the base's lead, Xia Hualin, revealed the data-driven logic behind Tiangong robot's recent competitive success, emphasizing that every achievement has been underpinned by the repeated collection of posture data within the facility's motion capture studio.

Xia Hualin systematically broke down how specific data sets correspond to each performance metric: the running posture, acrobatic flips during shows, weightlifting events, obstacle-crossing maneuvers by small humanoids, and even dance routines were all captured through action data collection on the second floor. According to the introduction, the base is equipped with two distinct motion capture systems: an inertial system on the first floor, and a specialized optical motion capture area spanning roughly 200 square meters on the second floor. "Motion capture data is extremely valuable to us," Xia stated, adding that "everything from athletic events to numerous commercial scenarios collects its data here in the studio."

From Xia Hualin's perspective, the athletic results represent a focused validation of the closed loop connecting data, algorithms, and the robot's physical body. "Since we independently develop our hardware, models, algorithms, and data, we are able to establish the fastest closed-loop chain in the industry," he explained. When previously addressing what defines high-quality data, he noted that the most valuable type is "data that enables the model to operate effectively and produce strong results in every scenario." The competition arena, in this context, serves as a quintessential testing ground for precisely this kind of data.

The base is capable of producing 180,000 hours of high-quality data annually, has already delivered over 30,000 hours to leading industry clients, and its open-source dataset, RoboMIND, has surpassed 20 million downloads globally. Xia Hualin further clarified that the athletic data collected in the studio will not be limited to competition performance; it is slated to generalize to real-world applications in sectors like industrial manufacturing and logistics. Tiangong robots, for instance, are already operating in JD Logistics' sorting facility in Shunyi, demonstrating a tangible leap from data acquisition to practical deployment.