Many AI models fail to reach production not because of the algorithm, but because the training setup does not reflect industrial reality.
Training on lightweight research arms or vision‑only systems limits what models can learn about contact, compliance, and interaction. When those models are transferred to industrial robots, performance breaks down.
Universal Robots’ AI Trainer is designed to solve this problem at the source.
Integrated force and torque sensing, combined with Direct Torque Control, allows models to learn what the task feels like, not just how it looks or where the robot moves.
Train on production‑grade robots with accurate kinematics, calibrated dynamics, and stable control. Models are exposed to the same physics they will encounter in deployment.
With over 100,000 robots deployed globally, UR provides an industrial platform that supports long‑running experiments, repeatability, and a realistic path from lab to factory.
Anders Billesø Beck, VP of AI Robotics Products, Universal Robots.The AI Trainer gives AI teams the confidence to focus on building better models, knowing the data they gather will carry through to real industrial conditions. It also empowers industrial teams to capture the right use-case data and fine-tune models so they’re truly ready for deployment.
Capture real task demonstrations that include contact, compliance, and interaction, not just motion paths.
Generate datasets suitable for training and fine‑tuning Vision‑Language‑Action models for physical task execution.
Train on the same industrial robots you intend to deploy, reducing sim‑to‑real friction.
Leader and follower robots for task demonstration and execution.
On‑robot AI compute using NVIDIA Jetson Orin, with integrated Orbbec 3D vision for high‑fidelity data capture.
Recording software for automatically capturing and managing imitation-learning robot datasets for model training.
Industrial‑grade system, developed with Vention, for multi‑robot leader–follower setups.
Production‑ready grippers for realistic grasping, handling, and contact‑rich demonstrations.
The Scale AI software enables end users to seamlessly capture high-quality multimodal data for Physical AI development. During each demonstration collected on UR AI Trainer, the Scale software records synchronized motion, force, and visual data, producing structured datasets required to train Vision-Language-Action (VLA) models.
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.
Leveraging UR AI Trainer and Scale’s software, Universal Robots and Scale AI will release a large-scale industrial dataset later this year.
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