UR AI Trainer

UR AI Trainer is an imitation‑learning system integrated with Scale AI’s recording software, which enables automatic capture of synchronized motion, force, and visual data required to train Vision‑Language‑Action (VLA) models.

The system is designed to help AI teams to train AI models directly on industrial‑grade Universal Robots, bridging the gap between lab experimentation and real‑world factory deployment. It is built on production‑grade hardware and control architecture, ensuring data collected during training reflects real industrial conditions and supports faster, more reliable deployment of AI‑driven robotic applications. 

UR AI Trainer enables human operators to teach robots by demonstration using a leader–follower setup. While an operator guides a “leader” robot through a task, a synchronized “follower” robot mirrors the motion in real time, with high-quality multimodal data captured automatically during each demonstration. 

This allows for scalable data capture across live UR robot deployments and creates continuous feedback that accelerates the development and optimization of physical AI systems.