Europe taps deep learning to make industrial robots safer colleagues

Europe taps deep learning to make industrial robots safer colleagues

Demand for industrial robots is rising in Europe, especially driven by the benefits of automation. However, there are ongoing challenges in ensuring seamless collaboration with humans while maintaining safety.

To address this issue, a consortium of European universities, technology accelerators, and private research labs is launching the RoboSAPIENs project.

The aim is to build the necessary safety mechanisms with a particular focus on adaptive industrial robots — a category of autonomous robots that can learn new behaviours without being reprogrammed and adapt to changes in their system structure or environment.

One eye-catching ambition targets a big problem for adaptive robots: handling unexpected changes. These changes range from software updates and hardware wear to unexpected obstacles and interaction with humans. When they arise, the researchers want the to robots automatically adjust their controllers and settings.

The missing safety step in adaptive industrial robots

The
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