Universal Robots is built as a single automation platform that supports different robot families. Each family is designed for specific performance needs and environments, while sharing a common foundation for ease of use, scalability, and integration. UR robots are collaborative robots designed for industrial automation, offering high performance with lightweight mechanical design, certified functional safety, and standard industrial protocols including PROFINET, EtherNet/IP, Modbus TCP, and EtherCAT.
Primary use case: Industrial automation, collaborative robotics, manufacturing applications
Weight
20.6 kg
DOF
6
Payload
5 kg
Weight
20.6 kg
Degrees of Freedom
6
Locomotion
stationary
Payload
5 kg
Primary Use Case
Industrial automation, collaborative robotics, manufacturing applications
Teradyne Robotics and Sereact formed a partnership combining Sereact's Cortex physical AI platform with Universal Robots collaborative arms for unstructured retail, logistics and manufacturing tasks. Hundreds of UR robots in dual-arm systems have been shipped to customer sites, including Zalando locations in Germany and Poland where they autonomously process returned fashion items. At Nvidia GTC Berlin 2026, the companies demonstrated Cortex running on two UR12e-1300 robots using Nvidia's simulation, training and edge-computing technologies.
Sereact and Teradyne Robotics partnered to deploy Sereact's Cortex physical AI software on Universal Robots arms for unstructured retail and logistics tasks. The system is already processing Zalando returns in Europe, with hundreds of dual-arm UR systems shipped to customer sites and plans to expand into North America.
ESAB introduced ROBBI AI, a cobot welding system that uses physical AI with camera and laser sensing to evaluate joint fit-up, generate weld paths without manual teaching, and adapt welding motion and process parameters in real time during MIG and TIG welding. The system is built around Universal Robots UR10e and UR 20e arms with ESAB/EWM power sources (Titan XQ, Tetrix XQ, Aristo Edge 500R), performs its AI processing locally on-premises, and learns from completed welds and video to recognize defect-prone conditions. It targets low-volume, high-mix and hard-to-automate work such as TIG welding and pipe fabrication for data centers and infrastructure.