Incremental Learning and Memory Consolidation of Whole Body Human Motion Primitives

@article{Kulic2009IncrementalLA,
  title={Incremental Learning and Memory Consolidation of Whole Body Human Motion Primitives},
  author={Dana Kulic and Yoshihiko Nakamura},
  journal={Adaptive Behaviour},
  year={2009},
  volume={17},
  pages={484-507}
}
The ability to learn during continuous and on-line observation would be advantageous for humanoid robots, as it would enable them to learn during co-location and interaction in the human environment. However, when motions are being learned and clustered on-line, there is a trade-off between classification accuracy and the number of training examples, resulting in potential misclassifications both at the motion and hierarchy formation level. This article presents an approach enabling fast on… CONTINUE READING
7 Citations
79 References
Similar Papers

References

Publications referenced by this paper.
Showing 1-10 of 79 references

Similar Papers

Loading similar papers…