Improved Cobot Part Detection

| Manufacturing

Universal Robotics introduces AI based part detection

Universal Robots Has Developed A Deep Learning-Based Part Detection System for Machine Tending Cobots

The collaborative robotics company is launching a new AI-powered machine tending system, enabling faster batch changeovers by eliminating the need for fixtures.

When Universal Robots (UR) recently surveyed 1,200 manufacturers across North America and Europe about their use of technology and future investment plans, over 50% of the respondents indicated they are now using AI and machine learning in their production processes.

“AI isn’t just hype,” says Ujjwal Kumar, Group President of Teradyne Robotics, parent company of Universal Robots. “We’re seeing significant interest in physical AI. By adding high-performance computing hardware to our control systems and investing in targeted software upgrades, we’re establishing UR as a platform for developing and deploying AI applications.”

The company is currently demonstrating a machine-tending application with new AI-based perception capabilities running on NVIDIA Jetson and Isaac acceleration libraries integrated into UR’s new PolyScope X platform.

This combination enables dynamic path planning, ensuring the robot takes the most effective, collision-free paths in and out of the machine without requiring extensive user configuration. UR plans to make this technology available for a wide range of applications, including machine tending and other material handling tasks.

Jonathan Newell
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