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New capability adapts process parameters for optimal results independent of operator experience for its LT Fiber EVO and CO2-type LT722D.

In the 1955 short story “Autofac,” Philip K. Dick envisioned a world dominated by self-replicating robots that work incessantly, eventually depleting the planet’s resources.

Like most of the digital architecture of manufacturing, computer numerical controllers (CNCs) have advanced rapidly in recent years, producing far more processing speed and implementing advanced algorithms, while at the same time offering simpler, more intuitive user interfaces.

Robots and job shops have not typically been talked about together. After all, everyone knows that automation is only suitable for high-volume production, and the typical mom-and-pop operation is anything but—its schedule filled with orders for high-mix, low-volume, and often highly complex work.

Modern manufacturing is a data-driven endeavor. The sheer volume of data available to be collected and analyzed is staggering—and something that couldn’t have been envisioned even 20 years ago.

Using Blockly to make robots easier to install and operate without specialized training.

Suppliers need to conduct inquiries now about how to improve machining, processes and operations so they are ready for the flight out of the pandemic pit.

We can be proud of how companies have remained resilient throughout the pandemic. That resiliency will be further challenged.

A member of SME describes how to get started on the automation journey.

Siemens has announced collaborations with Roboze and Xerox.