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An Israeli company has developed new artificial intelligence technology that promises to dramatically change how original equipment manufacturers and their suppliers conduct quality control inspections.

If there is a common thread found in the women Smart Manufacturing identified as making their mark in robotics and automation, it is a heightened awareness of the impact humans have on the planet without trying, as well as the positive impact we can have with concerted efforts.

In August, Rob Sullivan had an installation scheduled for two of his autonomous mobile robots at the Deutsche Post DHL Group’s Innovation Center in Troisdorf, Germany.

LIFT recently expanded the focus of its desire to “create innovations faster, better and cheaper” to the materials, processes and systems involved in moving innovations from concept to commercialization.

Like the United Nations’ international delegates who use interpreters to understand each other, robots, machines and other industrial components from various vendors speak different computer languages and need translators to help them communicate.

The current COVID-19 experiences have energized many conversations about our futures in the post-COVID world, and that includes the future of manufacturing.

Many process manufacturing companies are on the path to digitization and have piloted analytics to improve operational performance and improve their competitive edge.

Long gone are the days where the only solution to human error was human correction. As engineers today, we have access to smart technology that no other generation could have ever imagined.

To get to smart manufacturing, the industry needs integration, simulation and analysis.

When designers at Siemens started using virtual reality (VR) to quickly evaluate early-stage ideas, the usually slow and costly design-and-iteration process went from days and hours to minutes.