BEIJING, April 24, 2026 — Global autonomous driving leader QCraft held its opening event at the 2026 Beijing International Automotive Exhibition (also known as Auto China 2026) today, where Chairman and CEO Dr. James Yu officially unveiled the QCraft Physical AI Model and announced a full strategic expansion from autonomous driving to the broader frontier of Physical AI. To a crowd of industry insiders, QCraft revealed for the first time the complete architecture of its Physical AI Model, built on a unified World Model + Reinforcement Learning (RL) framework. The company also launched QPilot MAX, a 500+ TOPS (Trillion Operations Per Second) city NOA (Navigate on Autopilot) solution; disclosed the latest progress on its L4 Robotaxi and Robovan programs; and announced an upgraded mission and vision. “If the past decade was about teaching AI to drive, the next decade will see the industry move decisively toward Physical AI—a frontier that is more imaginative, more disruptive, and far more consequential,” said Dr. Yu. He explained that World Models and RL are the essential bridge between the digital and physical worlds, allowing QCraft to run infinite training cycles in a digital environment and transfer that capability to real-world vehicles. “This is not a simple algorithm upgrade. It is a fundamental shift in how we approach R&D.” he said. QCraft’s Physical AI Model operates across two layers. On the cloud side, an upgraded World Model generates rare edge cases—extreme weather, wrong-way cyclists, sudden pedestrian appearances—through natural language commands. On the onboard side, the World Behavior Model integrates a VLA (Vision-Language-Action) model with RL algorithms, achieving full-chain integration from perception to action. Safety at Scale with QPilot MAX Remarking on QCraft’s launch of QPilot MAX, a city NOA solution delivering best-in-class performance on a 500+ TOPS computing platform, Dr. Yu shared: “We don’t compete