Giving Robots A Better Feel For Object Manipulation


Daryl Patrick

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  • Category : Mechanical Engineering
  • Size : 203306
  • By : Daryl Patrick
Abstract
A new learning system 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.
Keywords
learning improves robots abilities materials predictions solid objects liquids simulator touch applications personal modelling robotics rice sushi
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