Learning to predict how rigid objects behave under simple manipulation

  title={Learning to predict how rigid objects behave under simple manipulation},
  author={Marek Sewer Kopicki and Sebastian Zurek and Rustam Stolkin and Thomas Morwald and Jeremy L. Wyatt},
  journal={2011 IEEE International Conference on Robotics and Automation},
An important problem in robotic manipulation is the ability to predict how objects behave under manipulative actions. This ability is necessary to allow planning of object manipulations. Physics simulators can be used to do this, but they model many kinds of object interaction poorly. An alternative is to learn a motion model for objects by interacting with them. In this paper we address the problem of learning to predict the interactions of rigid bodies in a probabilistic framework, and… CONTINUE READING
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