Inter-robot transfer learning for perceptual classification

  title={Inter-robot transfer learning for perceptual classification},
  author={Zsolt Kira},
We introduce the novel problem of inter-robot transfer learning for perceptual classification of objects, where multiple heterogeneous robots communicate and transfer learned object models consisting of a fusion of multiple object properties. Unlike traditional transfer learning, there can be severe differences in the data distributions, resulting from differences in sensing, sensory processing, or even representations, that each robot uses to learn. Furthermore, only some properties may… CONTINUE READING
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