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MIT Schwarzman College of Computing

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20 identical images in a four by five grid show a robotic arm attempting to grasp a cube. Eighteen squares are green, while two are red. At left is an illustration of a black robotic arm attempting to grab a black cube with a question mark on it.

Helping robots grasp the unpredictable

MIT CSAIL’s frugal deep-learning model infers the hidden physical properties of objects, then adapts to find the most stable grasps for robots in unstructured environments like homes and fulfillment centers.

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