Core Insights - The company Zhiyuan Robotics has launched a unified world model platform called Genie Envisioner (GE) for real-world robotic control, integrating future frame prediction, strategy learning, and simulation evaluation into a closed-loop architecture centered around video generation [1] - Unlike traditional Vision-Language-Action (VLA) methods that map visual inputs to language space, GE models the interaction dynamics between robots and their environment directly in visual space, allowing for more precise and direct modeling of robot-environment dynamics [1] - The new approach retains spatial structure and temporal evolution information during the manipulation process, enhancing the robot's ability for efficient cross-ontology generalization and precise execution of long-sequence tasks [1] - The company plans to open-source the entire code, pre-trained models, and evaluation tools for GE, with future expansions to support more sensor modalities and enhance human-robot collaboration in intelligent manufacturing and service robotics [1]