Empowering Collaborative Robots: The Future of AI Vision With Digital Twins

Incorporating visual recognition capabilities into collaborative robot arms helps them adapt to existing production line configurations, making them more flexible to small-volume-large-variety production lines. Mature AI technology significantly expands the scope of robotics vision in positioning and inspection. Additionally, digital twin technology allows for more efficient generation of diverse data for training AI models, thereby accelerating AI model development and robustness.

We'll explain how collaborative robots with built-in AI vision systems create value in positioning and inspection compared to traditional robots. Through simulation in a digital twin environment, we'll illustrate how robots learn to optimize motion trajectories, object recognition, defect identification, and other aspects, fundamentally altering current robot programming methods.