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A Computational Model of Human Table Tennis for Robot Application.

, and . AMS, page 57-64. Springer, (2009)

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Machine Learning for motor skills in robotics.. KI, 22 (4): 41-43 (2008)Learning movement primitive attractor goals and sequential skills from kinesthetic demonstrations., , , and . Robotics and Autonomous Systems, (2015)Grip Stabilization of Novel Objects Using Slip Prediction., , and . IEEE Trans. Haptics, 11 (4): 531-542 (2018)Operational Space Control: A Theoretical and Empirical Comparison., , , , and . I. J. Robotics Res., 27 (6): 737-757 (2008)Learning movement primitive libraries through probabilistic segmentation., , , and . I. J. Robotics Res., 36 (8): 879-894 (2017)How Cognitive Models of Human Body Experience Might Push Robotics., , , and . Front. Neurorobot., (2019)Assisting Movement Training and Execution With Visual and Haptic Feedback., , , , , , and . Front. Neurorobot., (2018)Inducing Probabilistic Context-Free Grammars for the Sequencing of Movement Primitives., , , , and . ICRA, page 1-8. IEEE, (2018)A biomimetic approach to robot table tennis., , and . Adaptive Behaviour, 19 (5): 359-376 (2011)Learning inverse dynamics models with contacts., , , , and . ICRA, page 3186-3191. IEEE, (2015)