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Craig Zoberis and Davin Erickson detail how Fusion OEM discovered and implemented collaborative robots, or cobots. The company is now investing in future expert machinists by using cobots—and making headway in closing the manufacturing industry skills gap. They explain the phases of training for cobots, as well as how cobots “talk” with other machines—and how machines perform “handshakes” (and are therefore envied by humans who today are struggling with social distancing).

Diego Tamburini, principal industry lead for manufacturing in the cloud + AI division of Microsoft, reviews the impact of the COVID-19 crisis in manufacturing. He shares his thoughts about how the industry should respond—and lists the attributes of manufacturers best positioned to survive the crisis. Finally, he outlines new opportunities for developers of smart manufacturing software solutions under the “new normal.”

IIoT expert Steve Jones who will speak Oct. 29 at “The Best of SMX” (smxevent.com), describes in detail the Industrial Internet of Things (IIoT), as well as AI/machine learning and other promising technology for manufacturing’s future. Like with many things in life, it is important to set goals first, the Steelcase executive says. Not sure where to begin with IIoT? Never fear: Jones has the answer.

The Digital Foundry at New Kensington, a new 15,044 square-feet innovation and manufacturing lab space that will use cutting-edge technologies to develop future-ready skills and improve business outcomes, has been unveiled.

Before the coronavirus pandemic upended normal life and essentially shut down commercial airliners, the aviation industry had a projected need for 40,000 new aircraft—planes, helicopters, air taxis, and unmanned aerial vehicles—in the next 20 years.

New system detects process anomalies during metal cutting in machine tools.

As more original equipment manufacturers (OEMs) and job shops “warm up” to the idea of laser welding, many have turned their attention to four specific technologies.

Today, it’s tremendously difficult to get products made. To turn an idea into a tangible object requires a list of difficult-to-obtain resources, including expensive machinery and capital, and a lot of time to program and configure machines.

What a difference a month makes. In a survey by the Manufacturing Advocacy and Growth Network (MAGNET) in February, only 24 percent of Ohio manufacturers said innovation was a priority.

If Industry 3.0 is identified by the computerization of factory floor processes to make them “smart,” then Industry 4.0 can be understood as the expansion of the idea to include all of the non-factory floor inputs required to produce a quality product and a successful enterprise.