Remove Overall Equipment Effectiveness (OEE) Remove Robotics Remove Supply Chain
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Four Robotic Predictions for 2024: AI set to supercharge robotic automation

Gary Mintchell

I’m not in love with predictions and I realize January is about gone, but here are some thoughts I picked up from Anders Billesø Beck, VP of Innovation and Strategy at Universal Robots. But how will these trends impact robotics and automation and what can the manufacturing industry expect to see next year?

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4 ways robotics, AI will transform industry in 2024

Robotics Business Review

It’s time to reflect upon the trends from the past 12 months while looking ahead at what 2024 has in store for the world of robotics. But how will these trends impact robotics and what can the manufacturing industry expect to see next year? This image was created using Microsoft Bing Image Creator. The stand-out projected growth area?

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Universal Robots Shares Four Predictions for 2024: AI Set to Supercharge Robotic Automation

Fabricating & Metal Work

But how will these trends impact robotics and automation and what can the manufacturing industry expect to see next year? After all, the technology is already there – we have many partners developing applications using AI to allow our robots to perform more complex and diverse functions.

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Software Technology to Meet Moldmaking Challenges

Mold Making Technology

These CAD utility programs use proprietary Kubotek Kosmos modeling technology to support transfer of precise CAD data across the manufacturing supply chain. Photo Credit: Kubotek Kosmos Enhanced Utility Programs Streamline CAD Data Transfer Kubotek Kosmos has released version 5.0

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Is Industry 4.0, smart manufacturing working for you?

Control Engineering

Popular examples include overall equipment effectiveness (OEE), quality, flexibility and even innovation. This includes the use of modular production lines, collaborative robots (cobots), and reconfigurable manufacturing systems, allowing companies to adjust operations quickly and efficiently. Industry 4.0

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Building on analytics foundations to improve operations

Control Engineering

Analytics are going to be a key driver for manufacturers looking to get the most productivity and insight from their operations as they deal with supply chain and labor shortages. This model represents a fundamental shift, introducing artificial intelligence (AI), analytics and advanced robotics into traditional manufacturing.