@inproceedings{6071,
  title = {A computational model of human table tennis for robot application},
  journal = {Autonome Mobile Systeme 2009: 21. Fachgespr{\"a}ch},
  booktitle = {AMS 2009},
  abstract = {Table tennis is a difficult motor skill which requires all basic components
  of a general motor skill learning system. In order to get a step closer to such
  a generic approach to the automatic acquisition and refinement of table tennis, we
  study table tennis from a human motor control point of view. We make use of the
  basic models of discrete human movement phases, virtual hitting points, and the
  operational timing hypothesis. Using these components, we create a computational
  model which is aimed at reproducing human-like behavior. We verify the
  functionality of this model in a physically realistic simulation of a BarrettWAM.},
  pages = {57-64},
  editors = {Dillmann, R. , J. Beyerer, C. Stiller, M. Z{\"o}llner, T. Gindele},
  publisher = {Springer},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  address = {Berlin, Germany},
  month = dec,
  year = {2009},
  author = {M{\"u}lling, K. and Peters, J.},
  doi = {10.1007/978-3-642-10284-4_8},
  month_numeric = {12}
}