Autonomous systems increasingly face the challenge of becoming more flexible and independent. UAVs have to find a way from A to B and avoid obstacles in between. In production environments, robots need to correctly place components with frequently changing specifications, while also being able to recognize faulty parts.
Building on our ability to simulate exactly the A.I. training data we need, our software toolkit helps to improve the performance of robotic systems. Our algorithms can be flexibly adapted to changing product requirements. At the same time, quick data availability speeds up the process to bring new .