Universal Robots and Scale AI Launch Imitation Learning System to Accelerate AI Model Training, Bridging the 'Lab-to-Factory' Gap
Universal Robots and Scale AI launch imitation learning system to accelerate AI model training, bridging the 'lab-to-factory' gap
Universal Robots and Scale AI have unveiled the UR AI Trainer, an imitation learning system designed to accelerate AI model training by capturing high-fidelity, synchronized robot and vision data. This system enables direct lab-to-factory AI training using UR robots with Direct Torque Control and force feedback, addressing challenges in data capture and hardware fragmentation. The collaboration also includes a large-scale industrial dataset and showcases real-world robotic foundation model performance.
Source: Universal Robots — Official announcements · Read original article ↗
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h pad, attendees will be able to experience the system first-hand at UR's booth as they guide two UR3e 'leader' robots providing haptic input to control two UR7e 'follower' robots. The setup enables visitors to perform an advanced smartphone packaging task with haptic feedback for imitation learning and VLA training, with demonstration data recorded in real time on Scale's stack and replayable directly on the AI Trai
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ner. The process of capturing robot training data for AI models is further showcased through a demo that illustrates the same smartphone packaging task – just trained virtually: Built in NVIDIA Omniverse and leveraging Isaac Sim , the simulated setup allows attendees to control a virtual bi-manual UR3e system with real-time haptic feedback using two Haply Inverse3 devices as ‘leaders’, providing a physics-accurate si
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nting the two data-capture demonstrations, Generalist’s showcase highlights how advances in data collection and AI models translate into real-world robotic performance. In the first public demonstration of Generalist’s embodied foundation models, two UR7e robots autonomously execute a complex smartphone packaging task, demonstrating dexterity, coordination, and contact-rich manipulation in a real-world environment. T
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he demonstration shows how scaled, high-quality training data combined with frontier model architectures can enable robust physical AI systems beyond the lab. “Generalist is building embodied foundation models that deliver industry-leading dexterity and reliability,” said Pete Florence, co-founder and CEO of Generalist AI. “This demonstration on Universal Robots’ trusted industrial platform shows how physical commons
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ense can be translated into real-world capability, paving the way for deployment across industries at scale.” “The adoption of our technology by the pioneers of AI model training and data capture underscores why Universal Robots has become the preferred platform for physical AI,” said UR’s Anders Beck, who will share his expertise on a featured panel at GTC titled "Beyond the Workcell: Scaling Robotics Workflows Acro
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ss the Factory Floor,” (Wednesday, March 18, 11:00 a.m.). **Download media assets ** here Universal Robots Universal Robots delivers industrial-grade collaborative automation built to perform, scale, and last. Combining lightweight, high-performance hardware with intuitive PolyScope software, certified safety, cybersecurity and open interfaces, Universal Robots enables manufacturers and integrators to deploy automati
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on faster, reduce risk, and evolve toward AI-supported production—across applications, sites, and industries. Automate with Confidence.
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Universal Robots and Scale AI launch imitation learning system to accelerate AI model training, bridging the 'lab-to-factory' gap
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Source：Universal Robots — Official announcements · universal-robots.com