New AI model could streamline operations in a robotic warehouse

By breaking an intractable problem into smaller chunks, a deep-learning technique identifies the optimal areas for thinning out traffic in a warehouse.

ai model algorithms artificial intelligence breaking civil and environmental engineering computer science and technology idss machine learning mit schwarzman college of computing operations research robotic robots school of engineering traffic warehouse