Remove Discrete manufacturing Remove Industry 4.0 Remove Robotics Remove Smart manufacturing
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AI in manufacturing: Where it’s been and where it’s going

Control Engineering

Manufacturing AI insights The integration of AI into discrete manufacturing aligns with the concept of Industry 4.0, which is characterized by advancements in technologies like the industrial internet of things (IIoT) and robotics. Of course, this isn’t news to anyone in the manufacturing space.

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Teaching, preparing university students for the future with robotics

Control Engineering

is a proven industry leader using ABB robotics and software to train tomorrow’s workforce, which will be using robotics in many different industries and applications. The rapid increase of robot orders by U.S. The rapid increase of robot orders by U.S. and smart manufacturing technologies.

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Improved methods for using sensors in robots

Control Engineering

Sensors play a vital role with implementing Industrial Internet of Things (IIoT) solutions and act as the eyes, ears and fingers of the robots. When trying to simplify robot startups, sensor-level networks are imperative and there are several network types that can help with this process. Courtesy: CFE Media.

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How to optimize industrial motor communications, Part 1, data types

Control Engineering

What communications protocols are being used with industrial motors and drives and what needs to be communicated? Are motor and drive communications getting easier or more difficult with smart manufacturing industry 4.0 and Industrial Internet of Things initiatives in light of cybersecurity risks?

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FABTECH 2022: Where Innovation Meets Opportunities

Fabricating & Metal Work

Pavilions are dedicated to 3D/additive manufacturing; finishing; forming & fabricating; METALFORM; robotics & industrial automation; tube & pipe; welding; and welding automation. This software is taking the industry by storm due to advanced digital optimization for plate processing with a focus on Industry 4.0,