Day: October 1, 2016

Case study: Robotic Materials for sorting trash

AMP Robotics provides autonomous solutions for sorting trash in recycling plants. Their robots push, suck or grasp metals, plastics, and cardboard recyclables from a fast-moving conveyor belt. To identify objects, AMP employs computer vision and deep learning techniques. A key metric of the success of AMP Robotics’ system is how many recyclables are successfully removed from […]

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