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.
from News on Artificial Intelligence and Machine Learning http://bit.ly/2vaQFeO
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Giving robots a better feel for object manipulation
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