Stanford and MIT CSAIL Researchers Propose ‘RoboCraft’: A Novel Framework That Allows Robots To Manipulate Deformable Materials From Visual Inputs Using Graph Neural Networks (GNNs)

To perform difficult industrial and domestic tasks, robots must be able to model and manipulate elastoplastic items (e.g., stuffing dumplings, rolling sushi, and making pottery). Although highly plastic materials like dough and plasticine are frequently used in residential and industrial contexts, manipulating them presents a special set of difficulties for robots.  Soft and deformable objects […]

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