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Automakers are embracing automated bin-picking to overcome manufacturing challenges, leveraging cutting-edge vision-guided robotics to boost efficiency in their processes.

Fully one-third of all U.S. manufacturing inputs come from Canada and Mexico.

Hardness testing is essential in material sciences, particularly through hardness mapping, which generates detailed heat maps from thousands of indentations. Enhanced by AI-based evaluation, this method improves accuracy and is widely used in industries like automotive and aerospace. The article discusses the methods and future of AI-driven hardness testing.

Leak testing applications are evolving rapidly as manufacturers adapt to challenges in electric vehicle production, sustainability, and automation.

As electric vehicles become more popular on land, sea and air, high-voltage testing, analysis and validation is more important than ever.

In manufacturing, recognizing and addressing waste while focusing on value-added work is key to improving operations and enhancing product quality.

Nicholas Blake of Advex AI explains how synthetic examples can be used to help improve training models, what machine vision offers, and how AI inspection can cut training time down from years to hours.

Automotive manufacturers are using the technology to inspect battery compartments and other safety-critical assemblies.

To increase efficiency and improve safety, OnRobot employs its own automation products on its assembly lines.

Robotic automation is key for automakers adapting to the evolving EV market, allowing for flexible production and efficient operations amidst uncertainty in regulations and demand.