Improve Your Cobot's Performance With Analytics

You can, but it’s not the most helpful KPI when it comes to robotics. While OEE and other metrics are useful for monitoring the running of your entire process, they are not specific enough to help you improve the performance of a collaborative robot cell. Such metrics may indicate that the robot cell needs to be optimized, but they won’t give you many clues about how to achieve that optimization.

Remember, not all metrics are equal.

You don’t just need any old KPI. You need cobot-specific KPIs.

What are cobot-specific KPIs?

Cobot-specific KPIs are targeted at the performance that really matters for a collaborative robot cell. They help you to identify which aspects of the robot’s operation need to be improved and provide clues as to how you can achieve this improvement.

Cobot analytics help you to monitor and analyze your collaborative robot using simple, clear metrics.

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But, which metrics are best for collaborative robots? How do you measure them? What’s the best way to analyze the results?

If only there were a simple guide to collaborative robot KPIs!

The top 5 cobot KPIs

In our new eBook: “Analytics for Cobots” we introduce the five most important KPIs for your collaborative robot. We have devised them based on the last decade of experience working with robot users in a wide variety of industries and have found them to be the most useful for improving a collaborative robot setup.

This simple, step by step guide provides the essential information so that you can start using metrics with your cobot immediately. It gives you a practical introduction to the five KPIs, along with a load of additional tips and tricks for making them work for your application.

This article has been republished with permission from Robotiq.