WALL-WM teaches robots to model meaningful physical events, not just fixed slices of time.For a robot, the physical world does not change in neat, fixed-length clips. A task may look continuous on camera, but the important moments are discrete: approaching an object, making contact, grasping it, lifting it, moving it, and placing it down. These are the moments where the world actually changes. SHENZHEN, China, May 29, 2026 /PRNewswire/ — X Square Robot today announced the open-source release of WALL-WM, a World Action Model for general-purpose embodied AI. The model is designed around a simple idea: robot world models should…