High-quality ground truth data is fundamental to the development of embodied AI and the path toward generalizable robot intelligence. However, simulated data often lacks real-world validation, while self-built data pipelines can be complex, expensive, and difficult to scale.

CHINGMU’s optical motion capture technology enables a Data Acquisition Facility for embodied AI, delivering scalable, reusable, and transferable real-world training data. The system accurately captures multimodal data from humans, robots, objects, and environments, generating strongly spatio-temporally aligned datasets.

From scene design and data capture to fine-grained annotation, quality inspection, and customized adaptation, CHINGMU provides an end-to-end data production pipeline. This supports robot perception, decision-making, control algorithms, complex skill learning, and cross-platform generalization.

Applications: Humanoid Robots · Skill Learning · Algorithm Training · Fine Manipulation · Robot eva1uation

Build high-quality real-world datasets for the next generation of embodied intelligence.