The Franka Arm Dataset Why does the 1M trajectory milestone matter? In robotics, scale alone is not enough. What matters is scalable, high quality interaction data that can improve real world robot performance. The Franka Arm Dataset represents a major step toward that goal. • Scale Reaching 1 million trajectories means robots are exposed to a significantly larger range of movements, interactions, and task variations. This improves learning diversity and reduces overfitting to limited environments. • Quality Large datasets only matter if the interactions are structured, accurate, and useful for training. Axis Robotics focuses on simulation driven data generation designed to produce consistent and scalable robotic experience. • Real World Implications The long term objective is stronger sim to real transfer where models trained in simulation can adapt more effectively to physical robots operating in real world environments. This milestone reflects more than dataset growth. It represents progress toward scalable Physical AI infrastructure capable of supporting the next generation of intelligent robotic systems.