SENSOPAC
Structure de mise en forme 2 colonnes
  • Thursday 19 November 2015
  • Videos reported here show examples of the results of SENSOPAC.

    UEDIN Simulated arm exploratory movements to detect load parameters (mass and inertia). At UEDIN, these methods have been extended to incorporate analytical properties of dynamics contexts into learning algorithms. In particular, the learning of the inverse dynamics mapping of a robot arm for multiple loads was object of intesive studies using a single multi-task Gaussian Process regression model.