Europe taps deep learning to make industrial robots safer colleagues
Briefly

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.
"What is missing here is the inclusion in the loop of a step that verifies whether certified guarantees, of safety or trustworthiness, are kept when plans change." - Ana Cavalcanti, a partner on RoboSAPIENS and computer science professor at the University of York.
RoboSAPIENS aims to add this missing step in robotic self-adaptation. The step will check if, after (re)planning, the rules set during certification are still valid. If they're not, the system will automatically propose an update.
Read at TNW | Deep-Tech
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