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Researchers from Massachusetts Institute of Technology (MIT) have developed a deep-learning technique that can identify the optimal areas for reducing robotic traffic in a warehouse production system.
MIT researchers applied deep-learning approaches from vehicle routing to streamline planning trajectories for robots in an e-commerce warehouse. Their method breaks the problem down into smaller chunks and then predicts the best chunks to solve with traditional algorithms.
(This story has not been edited by THE WEEK and is auto-generated from a PTI