China Mobile just open-sourced a bridge between Physical AI models and humanoid robots. China Mobile has released Open-RAIL, an open-source real-time execution layer for VLA and World Action Models . It tackles a practical problem in humanoid robots: The Physical AI model thinks in action chunks, while the robot body needs fast, continuous motion. Open-RAIL sits in between: VLA / WAM<->Open-RAIL <-> Humanoid Robot It handles asynchronous inference, temporal alignment, and trajectory smoothing, turning low-frequency model outputs into smoother, high-frequency motion. The project says it supports 20+ VLA/WAM models and 4 types of humanoid robots（Unitree G1/AgiBot G1/China Mobile Lingxi/NAVIAI-WA2）, with tools for real-robot data collection and human intervention. In real-robot testing, Open-RAIL achieved up to 2.09× faster task execution while reducing motion jitter. Think of it as a real-time execution layer connecting robot AI models to humanoid robot bodies, making it easier to move different models across different humanoid robots.