Making a robotic scene representation accessible to feature and label queries

@article{Zibner2011MakingAR,
  title={Making a robotic scene representation accessible to feature and label queries},
  author={Stephan K. U. Zibner and Christian Faubel and Gregor Schoner},
  journal={2011 IEEE International Conference on Development and Learning (ICDL)},
  year={2011},
  volume={2},
  pages={1-7}
}
We present a neural architecture for scene representation that stores semantic information about objects in the robot's workspace. We show how this representation can be queried both through low-level features such as color and size, through feature conjunctions, as well as through symbolic labels. This is possible by binding different feature dimensions through space and integrating these space-feature representations with an object recognition system. Queries lead to the activation of a… CONTINUE READING

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