Remove Discrete manufacturing Remove Information Remove Robotics
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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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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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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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Finger-shaped sensor enables more dexterous robots

Control Engineering

Robotic insights MIT researchers developed GelSight Svelte, a camera-based touch sensor shaped like a human finger, enabling robotic hands to perform versatile grasping tasks beyond simple pinching motions. These robots, in turn, use only their fingertips to grasp objects, typically with a pinching motion.

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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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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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Successfully implementing robots in an unpredictable future

Control Engineering

Robotics Insights. Robots can help fill some, but not all, of the labor gap manufacturers currently face. The challenge is getting manufacturers to buy into the concept because they believe robots are too expensive and will take jobs when the opposite is true. Three myths about robots, automation.