A new learning system developed by MIT researchers improves robots' abilities to mold materials into target shapes and make predictions about interacting with solid objects and liquids. The system, known as a learning-based particle simulator, could give industrial robots a more refined touch—and it may have fun applications in personal robotics, such as modelling clay shapes or rolling sticky rice for sushi.
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