Displaying 31-40 of 263 results for

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.”

Eric Kam, Product Marketing and Community Manager for ESI Group will discuss the various flavors of digital reality available today. Virtual Reality, Augmented Reality, Mixed Reality are all discussed. But aside from games, dealership showrooms, and operator training which seem to be the bulk of applications discussed by the world as a whole, which technology is right for you? This podcast will help to define each of these technologies, compare and contrast, and learn which aspects of your organization’s goals can be addressed by the technology.

Vecna Robotics’ David Clear and SVT Robotics’ TJ Fanning go into reasons manufacturers might want to consider automation and AI. They also look at how to test assumptions and scale with so many variables changing moment by moment. The adage “change is the only constant” has never been more apropos. So, it’s a great time to hear what separates a complex system from a complex adaptive system.

Catalytic CEO Sean Chou explains the difference between process automation and robotic automation, as well as what it looks like to use automation to augment existing workflows. Importantly, he describes how manufacturers can use automation to do more with less—to lessen supply chain pressures that have grown because of globalization and the Covid-19 crisis. And he details which processes manufacturers can automate to optimize resources and productivity.

Innovation in smart manufacturing can come in a flash from a lightbulb moment, but those instances are few. More often than not, breakthroughs in technology, such as bioprinting, blockchain, cloud-based manufacturing and real-time production control, happen after years of careful study accompanied by painstaking, methodical work done sometimes in academic settings.

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.

Inside an electronics factory in China as late as early 2019, workers and smart machines were building circuit boards with chips in a multi-step process using a variety of machines from different vendors.

Surgical outcomes are increasingly being scrutinized by groups like the National Health Service (NHS) and World Health Organization (WHO), who audit outcomes and publish their findings.

Although the first iteration of 5G technology has offered limited use cases in manufacturing, the next two generations, now expected to be available in the fall of this year and then the fall of next year because of COVID-19-related delays, will help factory owners achieve greater digital transformation of their factories.