Remove Discrete manufacturing 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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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. Visibility affects management and maintenance.

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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 Department of Technology at Illinois State University (ISU) trains students to program and operate industrial robots in preparation for careers in industry.

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Grant awarded to increase artificial intelligence and robotics use in poultry processing

Control Engineering

Researchers in Arkansas and two other states will be using a $5 million grant to increase use of artificial intelligence and robotics in chicken processing to reduce waste in deboning and detect pathogens. Robotic hands are not adept at holding a chicken, he said. Initially, people working remotely may help advance robotic processing.

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Jim Beretta, president of Customer Attraction, shares top automation trends for 2023

Automation Mag

Advances in automation technologies are transforming the industrial manufacturing landscape. Broadly termed “digital transformation,” these smart manufacturing initiatives bring physical and cyber systems together for greater performance, efficiency, sustainability and safety. Manufacturers used to have a choice.

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

Control Engineering

Are motor and drive communications getting easier or more difficult with smart manufacturing industry 4.0 It has a fair number of motors, robots synchronized motion, and other motion applications. What communications protocols are being used with industrial motors and drives and what needs to be communicated?

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Motion control, ease of use, sustainability: Pack Expo Las Vegas 2023

Control Engineering

Learning Objectives Understand how advances in PC-based controls, motion controls and robotics for food and packaging are making automation for food and beverage packaging easier to automate. seconds) and KR IonTec robot can help for food processing.