Data has become the decisive factor in the commercial rollout of embodied intelligence. Located in the Beijing Economic-Technological Development Area, the Beijing Innovation Center of Humanoid Robotics operates a state-of-the-art embodied intelligence robot data and training base, as reported by Xinhua on June 13, 2026.
The facility hosts more than 120 mainstream robot models that train across over 30 scenarios spanning six core sectors: household services, retail commerce, office operations, industrial production, pharmaceutical applications, and healthcare services.
The base is equipped with a professional motion capture venue where high-precision motion capture technology sets standardized collection benchmarks for the precision and smoothness of robots' anthropomorphic movements. This ensures that humanoid robots can learn natural, human-like motion patterns essential for real-world deployment.
A key achievement of the center is the RoboMIND Dataset, which has gained over 6 million downloads worldwide, making it one of the most widely used embodied intelligence training datasets globally. The dataset provides standardized benchmarks for embodied AI research and development.
The training base covers diverse real-world scenarios including supermarket operations, chemical experiments, clothes hanging, package handling, and more. Robots are trained in tasks ranging from simple object manipulation to complex multi-step operations in unstructured environments.
This facility represents a critical infrastructure investment in China's embodied AI ecosystem, directly supporting the country's ambition to achieve万台级 (ten-thousand-unit scale) deployment of humanoid robots as outlined in the recent MIIT-SASAC real-scenario training initiative.
The base's comprehensive approach — combining hardware testing, software training, data collection, and motion capture — provides a model for how embodied intelligence can transition from laboratory validation to large-scale commercial deployment.
