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Manufacturing AI insights The integration of AI into discretemanufacturing 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.
Cybersecurity, analytics, integrating manufacturingexecutionsystems (MES) and enterprise resource planning (ERP) systems and robotics to combat the labor shortage are among the key trends shaping the industry’s future.
Learning Objectives Understand how autonomous mobile robots (AMRs) can help manufacturers. AMR insights Autonomous mobile robots (AMRs) can play a key role in manufacturing because of their name: They’re autonomous and do not require constant human intervention the way an automated guided vehicle (AGV) would.
A robot demonstrated pick-and-place capabilities with a diverse range of products in a bin. A diversity of robots, vision systems and end-of-arm tooling (EoAT) may be used. Offline robotic programming can be performed within safety zones then downloaded to any brand robot.
Improved methods for using sensors in robots. Efficiency, flexibility and visibility can be improved in manufacturing plants by using sensor-level networks to enable sensors in robots to collect better data and more of it. Systems integrators support end user self-service. Integrate new technologies, MES software.
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