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RoboticsRobotics & Automation NewsPublished: Jun 15, 2026, 19:01 JST

Teradyne Robotics is demonstrating production-ready physical AI applications at Automate 2026, signaling that AI-powered robots are moving from research into real factory deployments.

Teradyne Robotics is demonstrating production-ready physical AI applications at Automate 2026, signaling that AI-powered robots are moving from research into real factory deployments.

3 Key Points

  1. What happened

    Teradyne Robotics, which owns Universal Robots and Mobile Industrial Robots, will showcase physical AI solutions at Automate 2026 in Chicago, June 22-25, including the MiR1200 Pallet Jack—its first physical AI product. The company is also introducing PolyScope X, UR's next-generation software platform, which adds PLC-style logic for controlling multiple work cell components and supports modern web technologies and native ROS 2 integration. Demonstrations include robots running imitation-learning models trained with Scale AI, general-purpose foundation models via Generalist, and AI vision systems from partners like Cambrian, AICA, beRobox, and Maple Advanced Robotics.

  2. Why it matters

    Manufacturers have struggled to automate tasks in dynamic and unstructured environments where robots must adapt on the fly. These demos show that physical AI—robots that can learn from human examples and perceive real-world variation—is now deployable rather than experimental. The platform modernization and ecosystem partnerships suggest automation is moving toward systems that work with messy factory conditions rather than requiring perfect setup, potentially opening automation to smaller or less rigidly structured operations.

  3. What to watch

    The MiR1200 Pallet Jack and PolyScope X applications are available for purchase today through Teradyne's global system integrators and partners. Key deployments shown include a Rapid Operator AI bin picker achieving a 99% first-pick success rate and an Autonomous Spot Sanding Solution requiring no CAD models or manual teaching—both concrete examples of zero-programming or minimal-setup automation.

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