UR3 CobotOps Predictive Model

Use predictive modeling for fault detection/check machine failure given operational parameters

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Inspiration

As cobots become increasingly popular in manufacturing with its diverse industrial applications, we hope to allow for companies to estimate the probability of protective stops or grip losses, which are both symptoms of machine failure.

What it does

Our project analyzes data, which came from a study on real-time operational data of the UR3 cobot to test for anomolies

How we built it

We have developed systems for evaluating new incoming data. This includes an API endpoint for a single-sequence in time that is connected to our central dashboard website and data model. We also have a continuous-time server that utilizes TCP sockets to stream continuous, real-time data to predict possible failure.

What's next for UR3 CobotOps Predictive Model

Ideally, this could severe as an automated way to manage UR3 cobots, for both human maintenance and check-up and also by scripts to stop the robot before any errors occur.

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