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@INPROCEEDINGS{Calinon_HFR_2016,
         author = {Calinon, Sylvain},
       projects = {Idiap, I-DRESS, DexROV},
          title = {Stochastic learning and control in multiple coordinate systems},
      booktitle = {Intl Workshop on Human-Friendly Robotics},
           year = {2016},
          pages = {1-5},
       location = {Genoa, Italy},
       abstract = {A probabilistic interpretation of model predictive control is presented, enabling extensions to multiple coordinate systems. The resulting controller follows a minimal intervention principle, by learning and retrieving movements through the coordination of several frames of reference. When combined with a generative model, the approach can be used in various human-robot applications that are discussed in the paper.},
            pdf = {https://publications.idiap.ch/attachments/papers/2016/Calinon_HFR_2016.pdf}
}