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Teradyne Robotics partners with Sereact to scale physical AI in retail and logistics

Teradyne Robotics partners with Sereact to scale physical AI in retail and…

NVIDIA Corp. — at Zalando’s fulfillment centers in Germany and Poland, Sereact and Universal Robots now autonomously processes returned fashion items. | The companies aim to accelerate industrial AI solutions in retail, logistics and manufacturing.

Through this partnership, Sereact’s Cortex physical AI platform runs robot arms from Universal Robots to give retailers and logistics providers a proven way to automate unstructured tasks such as returns handling and piece picking. Together, the companies have already shipped hundreds of UR robots in dual-arm systems to live customer sites across Europe. “Physical AI only matters when it performs in real-world operations, and that is where Universal Robots has always been at home,” said Jacob Pascual Pape, the chief commercial officer of Teradyne Robotics. “Our robots are built for the AI era: open, connected, and proven through more than 100,000 industrial deployments. That is why Sereact has chosen our platform.” “When combined with Sereact’s Cortex, the joint solution handles mixed goods, unknown items, and varied packaging,” he added. “This has moved well beyond the demo or pilot stage with the technology now usefully deployed at real customer sites. Our technologies are a natural fit and through our partnership we will scale these AI-powered solutions fast across applications, industries and markets.” To serve the rapidly growing demand and bring the joint solution to North America, Sereact this summer opened U.S. headquarters in Charlestown, Mass. The company develops physical AI software that enables robots to grasp, identify, and handle objects they have never seen before. The companies made the announcement at NVIDIA GTC Berlin 2026. Teradyne and Sereact already have deployments running Teradyne Robotics and Sereact said their joint offering can help a variety of critical logistics and manufacturing use cases. These include piece picking and sortation, order induction, machine tending, bin consolidation, kitting, packing, and goods handling. “Returns, replenishment, kitting — with Cortex, every one of these applications runs on the same production model. One brain serves every robot, with no retraining for each new item or task. And what one robot learns, every robot benefits from,” said Dr.