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Helping robots grasp the unpredictable

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June 3, 2024, 7:20 p.m. | Alex Shipps | MIT CSAIL

MIT News - Machine learning news.mit.edu

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.

computer science and technology csail environments fulfillment hidden homes machine learning mit mit csail mit schwarzman college of computing objects research robotics robots school of engineering unstructured

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