@inproceedings{6626,
  title = {Simulating Human Table Tennis with a Biomimetic Robot Setup},
  journal = {From Animals to Animats 11: Eleventh International Conference on the Simulation of Adaptive Behavior (SAB 2010)},
  booktitle = {From Animals to Animats 11},
  abstract = {Playing table tennis is a difficult motor task which requires
  fast movements, accurate control and adaptation to task parameters.
  Although human beings see and move slower than most robot systems
  they outperform all table tennis robots significantly. In this paper we
  study human table tennis and present a robot system that mimics human
  striking behavior. Therefore we model the human movements involved
  in hitting a table tennis ball using discrete movement stages and the
  virtual hitting point hypothesis. The resulting model is implemented on
  an anthropomorphic robot arm with 7 degrees of freedom using robotics
  methods. We verify the functionality of the model both in a physical realistic
  simulation of an anthropomorphic robot arm and on a real Barrett
  WAM.},
  pages = {273-282},
  editors = {Doncieux, S. , B. Girard, A. Guillot, J. Hallam, J.-A. Meyer, J.-B. Mouret},
  publisher = {Springer},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  address = {Berlin, Germany},
  month = aug,
  year = {2010},
  slug = {6626},
  author = {M{\"u}lling, K. and Kober, J. and Peters, J.},
  month_numeric = {8}
}