Photos: A glimpse of Amazon's robotic future

A team from Japanese machine learning specialist Preferred Networks (PFN), which secured second place in the picking contest with this pair of FANUC robot arms.

Like the winning team, PFN researchers used deep learning algorithms to train the arms’ 3D cameras in how to spot and handle items, and built specialized tools for grabbing objects.

The PFN bot scored 105 in the picking contest, the same as the Team Delft robot, but Delft was awarded first place for picking up its first item more quickly.

Image: Amazon

By Nick Heath

Nick Heath is a computer science student and was formerly a journalist at TechRepublic and ZDNet.