Remove Discrete manufacturing Remove Information Remove Robotics
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Six industrial robotics trends for 2023

Control Engineering

Industrial robotics insights Robotics are being used more often in industrial manufacturing facilities due to a rising labor and skills gap and strong industry demand. Trends in the industrial robotics market include increased digitalization and automation and an emphasis on making robots easier to use.

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Method developed for improving autonomous robotic systems

Control Engineering

Robotics insights. Massachusetts Institute of Technology (MIT) engineers have developed an optimization code that can be used to simulations for virtually any autonomous robotic system and improve a robot’s overall design performance. Autonomous robots have come a long way since the Roomba.

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IMTS emphasizes the importance of information

Control Engineering

The show took all four halls at McCormick with an emphasis on automation, robotics, additive manufacturing, cybersecurity, heavy machinery and much more. There were several undercurrents running through the show such as the need for workers, growing demand for robotics and automation and reshoring’s impact on manufacturing.

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Custom algorithm used to solve challenges with robotic layer forming and de-tray system

Control Engineering

Applied Manufacturing Technologies (AMT) worked with Gojo Industries to create robotic cells: a de-tray and layer forming system. Designing the de-tray and layer forming robotic cells allowed several the engineering team to solve robot speed issues and meet cycle time requirements. Project summary.

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Robotic process automation market projected to reach $70 billion by 2032

Control Engineering

Robotic process automation insights. The demand is increasing for robotic process automation in healthcare, as robotic process automation can mimic human interaction. The global robotic process automation market is forecasted to be valued at $2.57 billion in 2022 and is projected to reach $69.20 billion by 2032.

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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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Learning what is possible in warehouse robotics

Control Engineering

Learning Objectives Explore what’s possible now in warehouse robotics and automation integration with a panel from The Robotics Group of MHI, at ProMat 2023. Understand robotic best practices, integration tips and lessons learned. Bill Vining, co-founder Robot Advisory Group. Bill Vining, co-founder Robot Advisory Group.